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11 pages, 7545 KiB  
Article
Case Study of Central Outlet Cap Used in Flow-Through Aquaculture Systems by Using Computational Fluid Dynamics
by Jongjae Lee, Jaehyeok Doh, Kihoon Lim, Inyeong Kwon, Taeho Kim and Sanghoon Kim
J. Mar. Sci. Eng. 2024, 12(11), 2006; https://doi.org/10.3390/jmse12112006 - 7 Nov 2024
Viewed by 440
Abstract
The consumption of aquaculture products and, in turn, the importance of the aquaculture industry are increasing with the depletion of global fishery resources. In the flow-through aquaculture systems used in Korea, olive flounders are overcrowded near the central outlet, causing stress, and the [...] Read more.
The consumption of aquaculture products and, in turn, the importance of the aquaculture industry are increasing with the depletion of global fishery resources. In the flow-through aquaculture systems used in Korea, olive flounders are overcrowded near the central outlet, causing stress, and the sharp central outlet hole injures the olive flounders. Therefore, in this study, we propose a central outlet cap that can prevent overcrowding and injuries in olive flounders near the central outlet in a flow-through aquaculture system. An L27(35) orthogonal array was constructed using five central outlet cap design variables, and computational fluid dynamics (CFD) analysis was performed for each experimental point. The pressure drop between the tank inlet and the central outlet was evaluated, and the experimental point with the highest pressure drop was identified. In addition, the internal fluid velocity of the experimental point with the highest pressure drop value was confirmed to be improved compared to the initial flow-through aquaculture system. The central outlet cap designed in this study is expected to be economically beneficial to aquaculture by reducing the overcrowding of olive flounder and preventing injury to olive flounder while improving the internal fluid velocity. Full article
(This article belongs to the Section Marine Aquaculture)
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<p>Research procedure to present the shape and concept of the central outlet cap.</p>
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<p>Geometry of flow-through aquaculture system.</p>
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<p>Flow-through aquaculture system with central outlet cap.</p>
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<p>Design variables of central outlet cap: (<b>a</b>) vertical length, horizontal length, upper angle, and hole width of central outlet cap, and (<b>b</b>) shapes of the central outlet cap according to the number of upper line holes.</p>
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<p>Mesh independence test of flow-through aquaculture system.</p>
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<p>Grid model of flow-through aquaculture system.</p>
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<p>Pressure drop comparison between initial flow-through aquaculture system and experimental number 1.</p>
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<p>Contour of flow velocity: (<b>a</b>) XY plane of initial flow-through aquaculture system, and (<b>b</b>) XY plane of experimental number 1.</p>
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18 pages, 927 KiB  
Review
A Scoping Review of Non-Communicable Diseases among the Workforce as a Threat to Global Peace and Security in Low-Middle Income Countries
by Daniel Doh, Rumbidzai Dahwa and Andre M. N. Renzaho
Int. J. Environ. Res. Public Health 2024, 21(9), 1143; https://doi.org/10.3390/ijerph21091143 - 29 Aug 2024
Viewed by 1366
Abstract
Non-communicable diseases (NCDs) continue to pose a threat to public health. Although their impact on the workforce is widely recognized, there needs to be more understanding of how NCDs affect peace and security, particularly in low-middle-income countries. To address this, we conducted a [...] Read more.
Non-communicable diseases (NCDs) continue to pose a threat to public health. Although their impact on the workforce is widely recognized, there needs to be more understanding of how NCDs affect peace and security, particularly in low-middle-income countries. To address this, we conducted a scoping review and presented a narrative to explore how NCDs in the workforce threaten peace and security. Out of 570 papers screened, 34 articles, comprising 26 peer review and 8 grey literature, met the study criteria. Our findings reveal that while no study has drawn a direct relationship between NCDs in the workforce in LMICs and peace and security, several studies have demonstrated a relationship between NCDs and economic growth on one hand and economic growth and peace and security on the other. Therefore, using economic growth as a proximal factor, our findings show three pathways that link NCDs in the workforce to peace and security: (i) NCDs lead to low productivity and poor economic growth, which can threaten public peace and security; (ii) NCDs in the workforce can result in long-term care needs, which then puts pressure on public resources and have implications for public expenditure on peace and security; and (iii) household expenditures on caring for a family member with an NCD can destabilize families and create an unfavourable condition that threatens peace and security. This research highlights the dual threat of NCDs to health and security, as they impact human resources and community structures crucial for peace and security. The results underscore the importance of considering the workplace as a strategic setting for NCD prevention, which will have long-term implications for economic growth and peace and security. Full article
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<p>PRISMA Flowchart [<a href="#B23-ijerph-21-01143" class="html-bibr">23</a>].</p>
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<p>The relationship between NCDs in the workforce and peace and security.</p>
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8 pages, 218 KiB  
Article
Characteristics of Vitamin D Concentration in Elite Israeli Olympic Athletes
by Ori Abulafia, Elya Ashkenazi, Yoram Epstein, Alon Eliakim and Dan Nemet
Nutrients 2024, 16(16), 2627; https://doi.org/10.3390/nu16162627 - 9 Aug 2024
Viewed by 998
Abstract
Background: The prevalence of vitamin D deficiency has been a growing concern in recent years. Vitamin D is important in many of the body’s physiological systems, such as the musculoskeletal, cardiovascular and immune functions. A deficiency of vitamin D in athletes may negatively [...] Read more.
Background: The prevalence of vitamin D deficiency has been a growing concern in recent years. Vitamin D is important in many of the body’s physiological systems, such as the musculoskeletal, cardiovascular and immune functions. A deficiency of vitamin D in athletes may negatively impact both muscle functions and recovery and, thus, affect performance and increase the risk of injury. Many studies assessed the prevalence of vitamin D deficiency in athletes; however, as of today, there are no official recommendations/protocols for screening vitamin D levels in athletes, and only a few studies were performed in male and female elite athletes (i.e., Olympic level), in different sport disciplines. Method: We investigated the prevalence of vitamin D deficiency among athletes entering the Israeli Olympic team. A total of 761 samples of Vitamin D(OH)25 from 334 athletes were analyzed. For this analysis, we used the first test the athlete had performed when joining the Olympic team. The prevalence of vitamin D deficiency (<50 nmol/L, as defined by the Endocrine Society Committee) was investigated according to gender, types of sports and outdoor vs. indoor sports through the different seasons of the Israeli Olympic team athletes. Result: Twenty-five athletes (7.5%) were diagnosed with vitamin D deficiency. One hundred and thirty-one athletes (39.2%) had insufficient levels of vitamin D (50–75 nmol/L). The highest incidence of vitamin D deficiency was found amongst gymnastics and combat sport athletes. A significant difference was also found in vitamin D concentration between seasons. Vitamin D average concentration in the winter was 74.1 nmol/L compared to 86.4 nmol/L in the Summer (p < 0.0005). Conclusions: Due to the importance of vitamin D to athletic performance and the high prevalence of deficiency and insufficiency, we suggest careful and frequent monitoring of groups at risk, including elite athletes, especially in susceptible sports and during the winter. Future studies are necessary to investigate the effectiveness of Vitamin D supplementation in athletes with low baseline vitamin D levels. Full article
(This article belongs to the Section Sports Nutrition)
25 pages, 4399 KiB  
Article
FSDC: Flow Samples and Dimensions Compression for Efficient Detection of DNS-over-HTTPS Tunnels
by Irénée Mungwarakarama, Yichuan Wang, Xinhong Hei, Xin Song, Enan Muhire Nyesheja and Jean Claude Turiho
Electronics 2024, 13(13), 2604; https://doi.org/10.3390/electronics13132604 - 3 Jul 2024
Viewed by 799
Abstract
This paper proposes an innovative approach capitalized on the distinctive characteristics of command and control (C&C) beacons, namely, time intervals and frequency between consecutive unique connections, to compress the network flow dataset. While previous studies on the same matter used single technique, we [...] Read more.
This paper proposes an innovative approach capitalized on the distinctive characteristics of command and control (C&C) beacons, namely, time intervals and frequency between consecutive unique connections, to compress the network flow dataset. While previous studies on the same matter used single technique, we propose a multi-technique approach for efficient detection of DoH tunnels. We use a baseline public dataset, CIRA-CIC-DoHBrw-2020, containing over a million network flow properties and statistical features of DoH, tunnels, benign DoH and normal browsing (HTTPS) traffic. Each sample is represented by 33 features with a timestamp. Our methodology combines star graph and bar plot visualizations with supervised and unsupervised learning techniques. The approach underscores the importance of C&C beacon characteristic features in compressing a dataset and reducing a flow dimension while enabling efficient detection of DoH tunnels. Through compression, the original dataset size and dimensions are reduced by approximately 95% and 94% respectively. For supervised learning, RF emerges as the top-performing algorithm, attaining precision and recall scores of 100% each, with speed increase of 6796 times faster in training and 55 in testing. For anomaly detection models, OCSVM emerges as the most suitable choice for this purpose, with precision (88.89) and recall (100). Star graph and bar graph models also show a clear difference between normal traffic and DoH tunnels. The reduction in flow sample size and dimension, while maintaining accuracy, holds promise for edge networks with constrained resources and aids security analysts in interpreting complex ML models to identify Indicators of Compromise (IoC). Full article
(This article belongs to the Special Issue Advances in Data Science and Machine Learning)
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<p>A high-level view of the process of extracting C&amp;C features leading to a newly compressed dataset. The original dataset contains 33 features, including packets (bytes, length, time, request/response time), each encompassing other statistical features. The original dataset passed through filtering based on the flow direction features (IP source and destination addresses). The grouped flows are aggregated, and two C&amp;C features are extracted (computed), hence making a compressed binary dataset.</p>
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<p>Proposed scheme. (1) Legitimate DoH traffic (NonDoH and DoH) is merged to create normal traffic. (2) and (3) represent original and filtered datasets, respectively, as shown in <a href="#electronics-13-02604-f001" class="html-fig">Figure 1</a>. (4) shows star graph and statistical analysis and modeling. (5) shows a compressed dataset after extracting beacon characteristics and data processing. (6) and (7) show unsupervised and supervised machine learning modeling and evaluation.</p>
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<p>The network topology used to simulate DoH tunnel attacks and generate CIRA-CIC-DoHBrw-2020.</p>
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<p>A graphical representation showing the outgoing connections from local hosts to public servers using nodes in a simplified directed graph. (<b>a</b>) shows consecutive unique connections from a specific client to a specific DoH server. (<b>b</b>) shows connections made by different hosts (H<sub>A</sub>, H<sub>B</sub>, H<sub>C</sub>).</p>
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<p>A star graph showing network connections. The center node is an arbitrary DoH server, and the adjacent nodes are local hosts. Red nodes represent source IPs used to create DoH tunnels, and green adjacent nodes represent the IPs used to visit the web, from <a href="#electronics-13-02604-t001" class="html-table">Table 1</a>.</p>
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<p>Bar plot of connection frequency and time intervals. The x-axis indicates host IPs as shown in <a href="#electronics-13-02604-t002" class="html-table">Table 2</a> while two y-axes (left and right) indicate connection frequency and time intervals respectively. (<b>a</b>) shows connection benign DoH traffic and (<b>b</b>) DoH tunnels traffic connections.</p>
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<p>The traffic from the compromised local hosts that created special outliers. (<b>a</b>) shows traffic from the public DoH server (8.8.8.8) and (<b>b</b>) the traffic from the public DoH server (176.103.130.131).</p>
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<p>Confusion matrix for OCSVM.</p>
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18 pages, 1086 KiB  
Article
Enhancing Health and Empowerment: Assessing the Satisfaction of Underprivileged Rural Women Participating in a Functional Literacy Education Program in Kailali District, Nepal
by Joong Seon Na, Johny Bajgai, Subham Sharma, Sarmila Dhakal, Dong Won Ahn, Young-Ah Doh, Yundeok Kim and Kyu-Jae Lee
Healthcare 2024, 12(11), 1099; https://doi.org/10.3390/healthcare12111099 - 27 May 2024
Viewed by 842
Abstract
Women’s empowerment and health literacy are essential for fostering community well-being. Empowering women through education and diverse training plays a crucial role in ensuring their prosperity and overall health. This study investigates the satisfaction and experiences of underprivileged rural mothers participating in a [...] Read more.
Women’s empowerment and health literacy are essential for fostering community well-being. Empowering women through education and diverse training plays a crucial role in ensuring their prosperity and overall health. This study investigates the satisfaction and experiences of underprivileged rural mothers participating in a functional literacy education program in the Kailali district, Nepal. We assess participants’ perceptions of program effectiveness, examining training content, facilities, and trainers while exploring menstrual hygiene practices and maternal health awareness. Through convenience sampling, 141 underprivileged women from five rural villages near Tikapur were selected from literacy centers run by Mahima Group. Utilizing structured questionnaires and statistical analyses, including descriptive analyses, Spearman’s rho correlation, and Pearson’s chi-square test, we found that 65.2% of participants expressed high satisfaction levels. Moreover, 96.5% found the program highly effective, with 97.9% reporting improved literacy skills and 96.5% demonstrating increased awareness of menstrual hygiene practices. Additionally, 97.2% agreed that the program enhanced maternal and child health knowledge. Significant correlations were observed among the training course, facilities, trainers, and overall training perception. In line with this, significant associations were found between age groups (p = 0.003) and geographical areas (p = 0.023) with satisfaction levels with the literacy program. These results underscore the satisfaction of participants within the literacy program and its impact on their lives, and advocates for its broader implementation to empower marginalized communities for sustainable development. Full article
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<p>Map of Nepal indicating the study area.</p>
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14 pages, 1385 KiB  
Article
Total Iodine Quantification and In Vitro Bioavailability Study in Abalone (Haliotis discus hannai) Using Inductively Coupled Plasma Mass Spectrometry
by Hansol Doh and Min Hyeock Lee
Foods 2024, 13(9), 1400; https://doi.org/10.3390/foods13091400 - 2 May 2024
Viewed by 1663
Abstract
The aim of this study is to determine the total iodine content in Korean abalone (Haliotis discus hannai) and to investigate the bioavailability of iodine using an in vitro method. This research paper focuses on total iodine quantification in abalone ( [...] Read more.
The aim of this study is to determine the total iodine content in Korean abalone (Haliotis discus hannai) and to investigate the bioavailability of iodine using an in vitro method. This research paper focuses on total iodine quantification in abalone (Haliotis discus hannai) and its components (viscera and muscle) using inductively coupled plasma mass spectrometry (ICP-MS). Additionally, an in vitro bioavailability study explored iodine absorption potential. Abalone pretreatment involved both the European standard method (ES) and microwave-assisted extraction method (MAE). The limits of detection (LOD) were 0.11 ng/g for both ES and MAE, with a limit of quantification (LOQ) of 5.4 ng/g for MAE. Accuracy, assessed using a reference material (fish muscle, ERM—BB422), showed values of 1.5 ± 0.010 mg/kg for ES and 1.6 ± 0.066 mg/kg for MAE, within an acceptable range of 1.4 ± 0.42 mg/kg. Precision, evaluated using the Horwitz ratio (HorRat) with a reference material, was determined to be 0.45 for ES and 0.27 for MAE. Therefore, total iodine contents were estimated as 74 ± 2.2 µg/g for abalone viscera and 17 ± 0.77 µg/g for abalone muscle with ES, and 76 ± 1.0 µg/g for abalone viscera and 17 ± 0.51 µg/g for abalone muscle with MAE. Recovery tests demonstrated an acceptable range of 90–110%. In the in vitro bioavailability assessment, digestion efficiency yielded ranges of 42–50.2% for viscera and 67–115% for muscle. Absorption efficiency variations were determined as 37–43% for viscera and 48–75% for muscle. Full article
(This article belongs to the Section Food Analytical Methods)
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<p>Representation of the Wando, the location where the abalone (Haliotis discus hannai) samples were collected.</p>
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<p>Digestion efficiency of iodine in abalone viscera and muscle after in vitro bioavailability test. ES and MAE mean European standard method and microwave-assisted extraction method, respectively.</p>
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<p>Absorption efficiency of iodine in abalone viscera and muscle after in vitro bioavailability test.</p>
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20 pages, 3744 KiB  
Article
Chemical Relationship among Genetically Authenticated Medicinal Species of Genus Angelica
by Jung-Hoon Kim, Eui-Jeong Doh, Han-Young Kim and Guemsan Lee
Plants 2024, 13(9), 1252; https://doi.org/10.3390/plants13091252 - 30 Apr 2024
Viewed by 1049
Abstract
The genus Angelica comprises various species utilized for diverse medicinal purposes, with differences attributed to the varying levels or types of inherent chemical components in each species. This study employed DNA barcode analysis and HPLC analysis to genetically authenticate and chemically classify eight [...] Read more.
The genus Angelica comprises various species utilized for diverse medicinal purposes, with differences attributed to the varying levels or types of inherent chemical components in each species. This study employed DNA barcode analysis and HPLC analysis to genetically authenticate and chemically classify eight medicinal Angelica species (n = 106) as well as two non-medicinal species (n = 14) that have been misused. Nucleotide sequence analysis of the nuclear internal transcribed spacer (ITS) region revealed differences ranging from 11 to 117 bp, while psbA-trnH showed variances of 3 to 95 bp, respectively. Phylogenetic analysis grouped all samples except Angelica sinensis into the same cluster, with some counterfeits forming separate clusters. Verification using the NCBI database confirmed the feasibility of species identification. For chemical identification, a robust quantitative HPLC analysis method was developed for 46 marker compounds. Subsequently, two A. reflexa-specific and seven A. biserrata-specific marker compounds were identified, alongside non-specific markers. Moreover, chemometric clustering analysis reflecting differences in chemical content between species revealed that most samples formed distinct clusters according to the plant species. However, some samples formed mixed clusters containing different species. These findings offer crucial insights for the standardization and quality control of medicinal Angelica species. Full article
(This article belongs to the Section Phytochemistry)
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<p>Phylogenetic tree representing the relationships among samples from various species based on the combination nucleotide sequences of internal transcribed spacer (ITS) and <span class="html-italic">psbA-trnH</span> region. <span class="html-italic">Angelica acutiloba</span> (AAC), <span class="html-italic">A. biserrata</span> (ABI), <span class="html-italic">A. dahurica</span> (ADA), <span class="html-italic">A. decursiva</span> (ADE), <span class="html-italic">Angelica gigas</span> (AGI), <span class="html-italic">A. polymorpha</span> (APO), <span class="html-italic">A. reflexa</span> (ARE), <span class="html-italic">A. sinensis</span> (ASI), <span class="html-italic">Conioselinum tenuissimum</span> (CTE), and <span class="html-italic">Ostericum grossiserratum</span> (OGR).</p>
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<p>Overlapping chromatograms of representative samples from each species, labeled as follows: <span class="html-italic">Angelica acutiloba</span> (AAC, (<b>A</b>)), <span class="html-italic">A. biserrata</span> (ABI, (<b>B</b>)), <span class="html-italic">A. dahurica</span> (ADA, (<b>C</b>)), <span class="html-italic">A. decursiva</span> (ADE, (<b>D</b>)), <span class="html-italic">Angelica gigas</span> (AGI, (<b>E</b>)), <span class="html-italic">A. polymorpha</span> (APO, (<b>F</b>)), <span class="html-italic">A. reflexa</span> (ARE, (<b>G</b>)), <span class="html-italic">A. sinensis</span> (ASI, (<b>H</b>)), <span class="html-italic">Conioselinum tenuissimum</span> (CTE, (<b>I</b>)), and <span class="html-italic">Ostericum grossiserratum</span> (OGR, (<b>J</b>)).</p>
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<p>Overlapping chromatograms of representative samples from each species, labeled as follows: <span class="html-italic">Angelica acutiloba</span> (AAC, (<b>A</b>)), <span class="html-italic">A. biserrata</span> (ABI, (<b>B</b>)), <span class="html-italic">A. dahurica</span> (ADA, (<b>C</b>)), <span class="html-italic">A. decursiva</span> (ADE, (<b>D</b>)), <span class="html-italic">Angelica gigas</span> (AGI, (<b>E</b>)), <span class="html-italic">A. polymorpha</span> (APO, (<b>F</b>)), <span class="html-italic">A. reflexa</span> (ARE, (<b>G</b>)), <span class="html-italic">A. sinensis</span> (ASI, (<b>H</b>)), <span class="html-italic">Conioselinum tenuissimum</span> (CTE, (<b>I</b>)), and <span class="html-italic">Ostericum grossiserratum</span> (OGR, (<b>J</b>)).</p>
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<p>Dendrogram of samples, including <span class="html-italic">Angelica acutiloba</span> (AAC), <span class="html-italic">A. biserrata</span> (ABI), <span class="html-italic">A. dahurica</span> (ADA), <span class="html-italic">A. decursiva</span> (ADE), <span class="html-italic">Angelica gigas</span> (AGI), <span class="html-italic">A. polymorpha</span> (APO), <span class="html-italic">A. reflexa</span> (ARE), <span class="html-italic">A. sinensis</span> (ASI), <span class="html-italic">Conioselinum tenuissimum</span> (CTE), and <span class="html-italic">Ostericum grossiserratum</span> (OGR).</p>
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<p>Principal component score plot (<b>A</b>) and loading plot (<b>B</b>), featuring <span class="html-italic">Angelica acutiloba</span> (AAC), <span class="html-italic">A. biserrata</span> (ABI), <span class="html-italic">A. dahurica</span> (ADA), <span class="html-italic">A. decursiva</span> (ADE), <span class="html-italic">Angelica gigas</span> (AGI), <span class="html-italic">A. polymorpha</span> (APO), <span class="html-italic">A. reflexa</span> (ARE), <span class="html-italic">A. sinensis</span> (ASI), <span class="html-italic">Conioselinum tenuissimum</span> (CTE), and <span class="html-italic">Ostericum grossiserratum</span> (OGR).</p>
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<p>Graphic view of Pearson’s correlation coefficients among the samples, including <span class="html-italic">Angelica acutiloba</span> (AAC), <span class="html-italic">A. biserrata</span> (ABI), <span class="html-italic">A. dahurica</span> (ADA), <span class="html-italic">A. decursiva</span> (ADE), <span class="html-italic">Angelica gigas</span> (AGI), <span class="html-italic">A. polymorpha</span> (APO), <span class="html-italic">A. reflexa</span> (ARE), <span class="html-italic">A. sinensis</span> (ASI), <span class="html-italic">Conioselinum tenuissimum</span> (CTE), and <span class="html-italic">Ostericum grossiserratum</span> (OGR).</p>
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<p>Botanical pictures of <span class="html-italic">Angelica</span> species. (<b>A</b>) <span class="html-italic">Angelica acutiloba</span>, (<b>B</b>) <span class="html-italic">A. biserrata</span>, (<b>C</b>) <span class="html-italic">A. dahurica</span>, (<b>D</b>) <span class="html-italic">A. decursiva</span>, (<b>E</b>) <span class="html-italic">A. gigas</span>, (<b>F</b>) <span class="html-italic">A. polymorpha</span>, (<b>G</b>) <span class="html-italic">A. reflexa</span>, (<b>H</b>) <span class="html-italic">A. sinensis</span>, (<b>I</b>) <span class="html-italic">Conioselinum tenuissimum</span>, and (J) <span class="html-italic">Ostericum grossiserratum</span>. The photo of <span class="html-italic">A. reflexa</span> was provided by KIOM.</p>
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13 pages, 1764 KiB  
Article
Network Structure of Depressive Symptomatology in Elderly with Cognitive Impairment
by Jeehyung Pyo, Hyukjun Lee, Jakyung Lee, Daseul Lee, Hyeona Yu, Shinn-Won Lim, Woojae Myung and Doh-Kwan Kim
Medicina 2024, 60(5), 687; https://doi.org/10.3390/medicina60050687 - 23 Apr 2024
Viewed by 1427
Abstract
Objective and objectives: Patients with cognitive disorders such as Alzheimer’s disease (AD) and mild cognitive impairment (MCI) frequently exhibit depressive symptoms. Depressive symptoms can be evaluated with various measures and questionnaires. The geriatric depression scale (GDS) is a scale that can be [...] Read more.
Objective and objectives: Patients with cognitive disorders such as Alzheimer’s disease (AD) and mild cognitive impairment (MCI) frequently exhibit depressive symptoms. Depressive symptoms can be evaluated with various measures and questionnaires. The geriatric depression scale (GDS) is a scale that can be used to measure symptoms in geriatric age. Many questionnaires sum up symptom scales. However, core symptoms of depression in these patients and connections between these symptoms have not been fully explored yet. Thus, the objectives of this study were (1) to determine core symptoms of two cognitive disorders, Alzheimer’s disease and mild cognitive impairment, and (2) to investigate the network structure of depressive symptomatology in individuals with cognitive impairment in comparison with those with Alzheimer’s disease. Materials and Methods: This study encompassed 5354 patients with cognitive impairments such as Alzheimer’s disease (n 1889) and mild cognitive impairment (n = 3464). The geriatric depression scale, a self-administered questionnaire, was employed to assess depressive symptomatology. Using exploratory graph analysis (EGA), a network analysis was conducted, and the network structure was evaluated through regularized partial correlation models. To determine the centrality of depressive symptoms within each cohort, network parameters such as strength, betweenness, and closeness were examined. Additionally, to explore differences in the network structure between Alzheimer’s disease and mild cognitive impairment groups, a network comparison test was performed. Results: In the analysis of centrality indices, “worthlessness” was identified as the most central symptom in the geriatric depression scale among patients with Alzheimer’s disease, whereas “emptiness” was found to be the most central symptom in patients with mild cognitive impairment. Despite these differences in central symptoms, the comparative analysis showed no statistical difference in the overall network structure between Alzheimer’s disease and mild cognitive impairment groups. Conclusions: Findings of this study could contribute to a better understanding of the manifestation of depressive symptoms in patients with cognitive impairment. These results are expected to aid in identifying and prioritizing core symptoms in these patients. Further research should be conducted to explore potential interventions tailored to these core symptoms in patients with Alzheimer’s disease and mild cognitive impairment. Establishing core symptoms in those groups might have clinical importance in that appropriate treatment for neuropsychiatric symptoms in patients with cognitive impairment could help preclude progression to further impairment. Full article
(This article belongs to the Section Psychiatry)
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<p>Network of GDS-15 items in patients with mild cognitive impairment (<span class="html-italic">n</span> = 3464). Each node is linked with edges, which represent the strength between nodes. * For five items (items 1, 5, 7, 11, and 13), a response of “no” indicates the presence of the depressive symptoms.</p>
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<p>Network of GDS-15 items in patients with Alzheimer’s disease (<span class="html-italic">n</span> = 1889). Each node is linked with edges, which represent the strength between nodes. * For five items (items 1, 5, 7, 11, and 13), a response of “no” indicates the presence of the depressive symptoms.</p>
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<p>(<b>a</b>) Centrality indices of GDS-15 symptom items in patients with mild cognitive impairment. The <span class="html-italic">x</span>-axis represents standardized <span class="html-italic">z</span>-scores, and the <span class="html-italic">y</span>-axis represents symptom items. (<b>b</b>) Centrality indices of GDS-15 symptom items in patients with Alzheimer’s disease. The <span class="html-italic">x</span>-axis represents standardized <span class="html-italic">z</span>-scores, and the <span class="html-italic">y</span>-axis represents symptom items.</p>
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13 pages, 1026 KiB  
Article
Comparison of Hemodynamic Parameters Based on the Administration of Remimazolam or Sevoflurane in Patients under General Anesthesia in the Beach Chair Position: A Single-Blinded Randomized Controlled Trial
by Sangho Lee, Jimung Seo, Doh Yoon Kim, YoungYun Lee, Hee Yong Kang, Jeong-Hyun Choi, Youngsoon Kim, Mi Kyeong Kim and Ann Hee You
J. Clin. Med. 2024, 13(8), 2364; https://doi.org/10.3390/jcm13082364 - 18 Apr 2024
Viewed by 1299
Abstract
Background: We aimed to evaluate whether the administration of remimazolam as a maintenance agent for general anesthesia affects the occurrence of hypotension compared with sevoflurane when switching to the beach chair position (BCP). Methods: We conducted a prospective randomized controlled trial from June [...] Read more.
Background: We aimed to evaluate whether the administration of remimazolam as a maintenance agent for general anesthesia affects the occurrence of hypotension compared with sevoflurane when switching to the beach chair position (BCP). Methods: We conducted a prospective randomized controlled trial from June 2023 to October 2023 in adult patients undergoing orthopedic surgery under general anesthesia in the BCP. A total of 78 participants were randomly allocated to the remimazolam (R) or sevoflurane (S) groups. The primary outcome was the incidence of hypotension that occurred immediately after switching to a BCP. The secondary outcomes included differences between the study groups in perioperative blood pressure (BP), heart rate (HR), endotracheal tube extubation time, postoperative complications, and hospital length of stay (LOS). Results: The incidence of hypotension immediately after switching to a BCP was significantly higher in the S group. The risk factors associated with hypotension included sevoflurane administration and a high baseline systolic BP. In the receiver operating characteristic curve analysis for the occurrence of hypotension after the transition to a BCP, the cutoff value for systolic BP was 142 mmHg. The perioperative BP and HR were higher in the R group at several timepoints. Postoperative endotracheal tube extubation time was shorter in the R group. There were no significant differences in the postoperative complications or hospital LOS between the two groups. Conclusions: Remimazolam should be considered as an anesthetic agent to prevent hypotension when switching to BCP, and hypotension may occur frequently in patients with high baseline BP. Full article
(This article belongs to the Special Issue New Updates on Anesthesia and Perioperative Medicine)
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<p>Study patient enrollment.</p>
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<p>Trend in systolic blood pressure and heart rate at different study timepoints. (<b>A</b>) Systolic blood pressure. (<b>B</b>) Heart rate. Data are represented as means ± standard deviations. Statistically significant differences between the study groups at each timepoint are indicated as * <span class="html-italic">p</span> &lt; 0.05. BCP, beach chair position; intu., intubation; OP, operation; PACU, post-anesthetic care unit.</p>
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<p>Receiver operating characteristic curve analysis of baseline systolic blood pressure relative to occurrence of hypotension after switching to the beach chair position. AUC, area under the curve; NPV, negative predictive value; PPV, positive predictive value; sBP, systolic blood pressure; Sens., sensitivity; Spec., specificity.</p>
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20 pages, 14205 KiB  
Article
Research and Simulation on the Development of a Hydraulic Prop Support System of Powered Roof Support to Increase Work Safety
by Beata Borska and Dawid Szurgacz
Methods Protoc. 2024, 7(2), 33; https://doi.org/10.3390/mps7020033 - 11 Apr 2024
Viewed by 1590
Abstract
The underground mining environment is currently based on technology that uses mainly analogue sensors in machine and equipment control systems. The primary machine performing the most important functions in a mining system is the powered roof support. In order for it to work [...] Read more.
The underground mining environment is currently based on technology that uses mainly analogue sensors in machine and equipment control systems. The primary machine performing the most important functions in a mining system is the powered roof support. In order for it to work properly, it is important that it achieves the required power. To ensure this, it is necessary to continuously and precisely monitor the pressure in the under-piston space of the prop. Due to the extreme environmental conditions, pressure sensors should have high sensitivity, large transmission capacity, small size and light weight. To achieve these requirements, the authors of the article propose to implement a monitoring system based on photonics technology. To achieve this goal, several studies were carried out. The range of these studies included simulations, bench tests and tests under real conditions. The obtained test results showed the possibility of developing the control system for the powered roof support, the additional function to supercharge power. Based on the analysis of the obtained test results, assumptions were developed for the development of a power charging system with monitoring sensors. Based on the guidelines obtained from the research results, thedevelopment of the above prototype based on photonics technology is proposed. Full article
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<p>View of a mining wall using a mechanized longwall complex, where its significant areas are marked: (1) coal sidewall, (2) path of the combine shearer, (3) longwall scraper conveyor, (4) crew passage path and (5) powered roof support.</p>
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<p>View of the powered roof support in the mining longwall: powered roof support components (<b>a</b>), canopy (1), hydraulic actuator (2), floor base (3), beam of sliding system (4), shield support (5), lemniscate mechanism (6) and longwall scraper conveyor (7); and operation of powered roof support (<b>b</b>), sections of powered roof support expensed in the wall (1) and sections of the powered roof support moved (2).</p>
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<p>The hydraulic system of a powered roof support prop: (<b>a</b>) traditional and (<b>b</b>) modified, where 1—hydraulic prop; 2—traditional valve block; 2*—double valve block with automatic pressure charging; 2a, 2b and 2d—check valve; 2c—threshold valve; 3—four-way distributor; 4 and 5—safety valve; 7 and 8—manometer; 9—pressure indicator; 10 and 12—shut-off valve; 11—filter; 13—check valve; 14—runoff line; 15—supply line.</p>
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<p>Stages of research on the development of the support system of a powered roof support hydraulic prop, where (Stage 1) (<b>a</b>)—pressure in the space under the piston of the prop, (<b>b</b>)—liquid flow rate to the prop, (stage 2) 1—expansion of the prop by the operator, 2—pressure charging, 3—pressure in the space under the piston of the prop, 4—pressure in the supply line, (Stage 3) a—pressure drop in the space under the piston of the prop, b, c, e—pressure charging, d—expansion of the prop by the operator.</p>
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<p>Research methodology for improving the operation of a powered roof support prop.</p>
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<p>Model of a hydraulic prop for conducting simulation tests, where F<sub>st</sub>—the friction force; F<sub>sb</sub>—the force of inertia; F<sub>sh</sub>—the force acting on the piston; Q—the flow rate of the liquid that flows into the cylinder; A—the surface area of the piston; p<sub>pt</sub>—the pressure in the sub-piston space of the prop; m<sub>tł</sub>—the mass of the piston; x<sub>p</sub>—the beginning position of the piston; and x(t)—the displacement of the piston in time.</p>
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<p>Results of simulation tests: (<b>a</b>) course of pressure changes in the space under the piston of the prop, and (<b>b</b>) the flow rate of liquid into the prop.</p>
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<p>Results of simulation tests for the proposed charging function, where 1, 2, 3, 4, and 5—pressure loss; and 6, 7, 8, 9, 10, and 11—pressure charging area.</p>
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<p>The course of the modeled charging function.</p>
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<p>Test site with the tested double block: 1—measuring device; 2—pressure sensors; 3—double block with automatic pressure charging; 4—hydraulic prop; and 5—test site frame.</p>
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<p>Results of bench tests of the double block operation with charging: 1, 2, 3, 4 and 5—automatic pressure charging area; and 6, 7, 8 and 9—pressure loss in the space under the prop’s piston.</p>
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<p>Results of bench tests of the double block operation with charging: 1—expansion of the prop by the operator; 2, 5 and 6—automatic pressure charging area; 3—pressure in the supply line; and 4—pressure in the space under the prop’s piston.</p>
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<p>The extraction wall in which the research was carried out: (<b>a</b>) the pressure sensors with a prototype double block and (<b>b</b>) a view of the sections on which the research was carried out.</p>
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<p>The course of pressure changes in the sub-piston space of a hydraulic stand with internal leakage (blue line) during the expansion operation: 1—expansion of the prop by the operator; and 2—automatic pressure charging.</p>
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<p>The course of pressure changes in the sub-piston space of a hydraulic prop with internal leakage (blue line) during its operation obtained in real tests: 1—expansion of the prop by the operator; 2—automatic pressure charging, 3—pressure loss in the space under the piston of the prop; and 4 and 5—automatic pressure charging.</p>
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<p>The course of pressure changes in the sub-piston space of the hydraulic prop, using a standard block for three adjacent sections, where 1—section No. 43; 2—section No. 44; and 3—section No. 45.</p>
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<p>The course of pressure changes in the sub-piston space of the hydraulic stand using a prototype double block with automatic charging, where 1—section No. 45; 2—section No. 44; and 3—section No. 43.</p>
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<p>A summary of the results of simulation and bench tests for the operation of expanding the hydraulic prop in order to verify the adopted mathematical model.</p>
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<p>Summary of the results of simulation and bench tests for the pressure charging function in the hydraulic prop.</p>
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<p>Summary of the results of bench tests (1) and tests in real conditions (2) for the pressure charging function.</p>
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20 pages, 3768 KiB  
Article
Machine Learning-Based Causality Analysis of Human Resource Practices on Firm Performance
by Myeongju Lee, Gyeonghwan Lee, Kihoon Lim, Hyunchul Moon and Jaehyeok Doh
Adm. Sci. 2024, 14(4), 75; https://doi.org/10.3390/admsci14040075 - 9 Apr 2024
Cited by 1 | Viewed by 1526
Abstract
An organization’s human resource management practices are essential for its competitive advantage. This study specifically examined human resource (HR) practices that predict corporate performance (employee turnover and firm sales) based on a backpropagation neural network (BPN)-based causality analysis. This study aims to test [...] Read more.
An organization’s human resource management practices are essential for its competitive advantage. This study specifically examined human resource (HR) practices that predict corporate performance (employee turnover and firm sales) based on a backpropagation neural network (BPN)-based causality analysis. This study aims to test how to optimize human resource practices to improve organizational performance. This study elucidated the effect of HR practices and organizational-level factors on predicting employee turnover and firm sales. The BPN-based causality analysis revealed the relative importance of explanatory variables on firm performance. To test the model, it employed the Human Capital Corporate Panel open data on Korean companies’ HR practices and other characteristics. The analysis identifies causal relationships between specific HR practices and firm performance. The results show that compensation-related HR practices are most influential in predicting firm sales and employee turnover. Moreover, training-related HR practices were modest, and talent acquisition and performance management practices had relatively weak effects on the two outcomes. The study provides insights into how human resource practices can be optimized to improve firm performance and enhance organizational effectiveness. The findings of this study contribute to the growing body of research on the use of machine learning in HR management and suggest practical implications for managers’ insights to optimize HR practices. Full article
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<p>The architecture of a single-layered neural network.</p>
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<p>Schematic of the k-fold cross-validation.</p>
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<p>Trends of training- and validation-loss functions for the best model of the 11th fold.</p>
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<p>Comparison between the predicted and actual values (employee turnover and firm sales) for the best BPN model of the 11th fold using the validation data.</p>
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<p>The quantitatively relative importance of explanatory variables on firm sales (<b>a</b>) and employee turnover (<b>b</b>) via BPN-based causality analysis.</p>
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<p>Partial dependence plots of explanatory variables on firm sales and employee turnover: (<b>a</b>) Compensation level. (<b>b</b>) Compensation structure. (<b>c</b>) Performance-based pay practices. (<b>d</b>) Fringe benefits. (<b>e</b>) Talent acquisition practices. (<b>f</b>) Performance management practices. (<b>g</b>) Training practices. (<b>h</b>) Development practices. (<b>i</b>) Annual HR plan. (<b>j</b>) HR plan-strategy alignment. (<b>k</b>) HR department involvement. (<b>l</b>) Organizational trust. (<b>m</b>) Organizational commitment. (<b>n</b>) Change in demand. (<b>o</b>) Change in technology.</p>
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<p>Partial dependence plots of explanatory variables on firm sales and employee turnover: (<b>a</b>) Compensation level. (<b>b</b>) Compensation structure. (<b>c</b>) Performance-based pay practices. (<b>d</b>) Fringe benefits. (<b>e</b>) Talent acquisition practices. (<b>f</b>) Performance management practices. (<b>g</b>) Training practices. (<b>h</b>) Development practices. (<b>i</b>) Annual HR plan. (<b>j</b>) HR plan-strategy alignment. (<b>k</b>) HR department involvement. (<b>l</b>) Organizational trust. (<b>m</b>) Organizational commitment. (<b>n</b>) Change in demand. (<b>o</b>) Change in technology.</p>
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12 pages, 1580 KiB  
Article
Hatchery and Dietary Application of Synbiotics in Broilers: Performance and mRNA Abundance of Ileum Tight Junction Proteins, Nutrient Transporters, and Immune Response Markers
by Mallory B. White, Ali Calik and Rami A. Dalloul
Animals 2024, 14(6), 970; https://doi.org/10.3390/ani14060970 - 20 Mar 2024
Cited by 1 | Viewed by 1503
Abstract
This study investigated the effects of a synbiotic consisting of inulin, Enterococcus faecium, Pediococcus acidilactici, Bifidobacterium animalis, and Lactobacillus reuteri given orally to day (d)-of-hatch (DOH) broiler chicks at the hatchery and in the feed for a 21 d period. [...] Read more.
This study investigated the effects of a synbiotic consisting of inulin, Enterococcus faecium, Pediococcus acidilactici, Bifidobacterium animalis, and Lactobacillus reuteri given orally to day (d)-of-hatch (DOH) broiler chicks at the hatchery and in the feed for a 21 d period. A total of 480 Cobb male broilers were randomly divided into one of four treatments using a 2 × 2 factorial design as follows: (1) control (CTRL) group receiving a gel-only oral application on DOH at the hatchery prior to transport and a non-medicated basal corn/soybean meal starter diet; (2) hatchery synbiotic (HS) receiving an oral gel containing the synbiotic (0.5 mL/bird) at the hatchery and the basal diet; (3) CTRL + dietary synbiotic at 0.5 kg/MT (DS); and (4) HS + dietary synbiotic at 0.5 kg/MT (HSDS). On d 7 and d 21, one bird per pen (eight replicate pens/group) was euthanized, and the ileum was immediately removed for qPCR analysis. Data were subjected to a 2-way ANOVA using GLM procedure (JMP Pro17). A significant diet × hatchery interaction was observed in feed conversion ratio (FCR) from d 14 to d 21 (p = 0.013) where the HS, DS, and HSDS treatments had a significantly lower FCR compared to the CTRL. However, no significant interaction effect was observed for body weight gain (BWG) or FCR during the overall experimental period. No significant interaction was observed in mRNA abundance of the evaluated genes in the ileum on d 7 and d 21. Gel application with the synbiotic significantly reduced sodium-dependent glucose cotransporter 1 (SGLT1) mRNA abundance on d 7 (p = 0.035) in comparison to birds receiving gel alone. Regardless of hatchery application, dietary synbiotic supplementation significantly reduced Toll-like receptor (TLR)2, TLR4, and interleukin (IL)-10 mRNA abundance on d 7 (p = 0.013). In conclusion, these findings showed that hatchery and dietary synbiotic application could have a potential beneficial impact on broiler intestinal immunity by regulating the TLR response, a key element of innate immunity. FCR was improved from d 14 to d 21 after synbiotic application. Future research involving extended grow-out studies with a disease challenge would expand on the implications of an early application of synbiotics. Full article
(This article belongs to the Collection Current Advances in Poultry Research)
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<p>Effects of hatchery synbiotic administration and post-hatch dietary synbiotic supplementation on the relative mRNA abundance of tight junction protein-related genes in the ileum on d 7 and 21. Main effects of diet, hatchery applications, and the interactions are presented next to each graph. Data are presented as mean ± SEM (<span class="html-italic">n</span> = 8 birds/group).</p>
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<p>Effects of hatchery synbiotic administration and post-hatch dietary synbiotic supplementation on relative mRNA abundance of nutrient transporter-related genes in ileum on d 7 and 21. Main effects of diet, hatchery applications, and the interactions are presented next to each graph. Data are presented as mean ± SEM (<span class="html-italic">n</span> = 8 birds/group).</p>
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<p>Effects of hatchery synbiotic administration and post-hatch dietary synbiotic supplementation on relative mRNA abundance of immune response-related genes in ileum on d 7 and 21. Main effects of diet, hatchery applications, and the interactions are presented next to each graph. Data are presented as mean ± SEM (<span class="html-italic">n</span> = 8 birds/group).</p>
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17 pages, 271 KiB  
Article
Barriers and Enablers to a Hospital-to-Home, Combined Exercise and Nutrition, Self-Managed Program for Pre-Frail and Frail Hospitalised Older Adults
by Chad Yixian Han, Georgia Middleton, Jersyn Doh, Alison Yaxley, Yogesh Sharma, Claire Baldwin and Michelle Miller
Healthcare 2024, 12(6), 678; https://doi.org/10.3390/healthcare12060678 - 18 Mar 2024
Viewed by 1581
Abstract
Introduction: Self-managed exercise and nutrition interventions can alleviate pre-frailty and frailty but understanding of adherence to them is lacking. This study aimed to explore the experiences of, and barriers and enablers to, a hospital-to-home self-managed combined exercise and nutrition program for hospitalised older [...] Read more.
Introduction: Self-managed exercise and nutrition interventions can alleviate pre-frailty and frailty but understanding of adherence to them is lacking. This study aimed to explore the experiences of, and barriers and enablers to, a hospital-to-home self-managed combined exercise and nutrition program for hospitalised older adults living with pre-frailty and frailty. Methods: A hybrid approach to data- and theory-driven descriptive thematic analysis identified experiences, barriers, and enablers to participation in a 3-month, self-managed, exercise–nutrition, hospital-to-home frailty-support program. Pre-frail and frail older adult patients ≥ 65 years admitted to the acute medical unit at a South Australian tertiary hospital were recruited. Individual semi-structured interviews were audio-recorded, transcribed verbatim, and analysed descriptively, using the Theoretical Domains Framework. Results: The nutrition component of the program found 11 common barriers and 18 common enablers. The exercise component included 14 barriers and 24 enablers. Intentions, Social influences, Environmental context/resource and Emotions served as primary barriers towards adherence to both components. Common enablers for both components included Knowledge, Social identity, Environmental context/resource, Social influences, and Emotions. Conclusions: This research revealed important factors affecting adherence to a self-managed exercise–nutrition program in pre-frail and frail older adults within the environment, resources, and emotion domains that should be considered when designing other intervention programs in this population group. Full article
13 pages, 1794 KiB  
Article
The MYB-CC Transcription Factor PHOSPHATE STARVATION RESPONSE-LIKE 7 (PHL7) Functions in Phosphate Homeostasis and Affects Salt Stress Tolerance in Rice
by Won Tae Yang, Ki Deuk Bae, Seon-Woo Lee, Ki Hong Jung, Sunok Moon, Prakash Basnet, Ik-Young Choi, Taeyoung Um and Doh Hoon Kim
Plants 2024, 13(5), 637; https://doi.org/10.3390/plants13050637 - 26 Feb 2024
Cited by 1 | Viewed by 1348
Abstract
Inorganic phosphate (Pi) homeostasis plays an important role in plant growth and abiotic stress tolerance. Several MYB-CC transcription factors involved in Pi homeostasis have been identified in rice (Oryza sativa). PHOSPHATE STARVATION RESPONSE-LIKE 7 (PHL7) is a class II MYC-CC protein, [...] Read more.
Inorganic phosphate (Pi) homeostasis plays an important role in plant growth and abiotic stress tolerance. Several MYB-CC transcription factors involved in Pi homeostasis have been identified in rice (Oryza sativa). PHOSPHATE STARVATION RESPONSE-LIKE 7 (PHL7) is a class II MYC-CC protein, in which the MYC-CC domain is located at the N terminus. In this study, we established that OsPHL7 is localized to the nucleus and that the encoding gene is induced by Pi deficiency. The Pi-responsive genes and Pi transporter genes are positively regulated by OsPHL7. The overexpression of OsPHL7 enhanced the tolerance of rice plants to Pi starvation, whereas the RNA interference-based knockdown of this gene resulted in increased sensitivity to Pi deficiency. Transgenic rice plants overexpressing OsPHL7 produced more roots than wild-type plants under both Pi-sufficient and Pi-deficient conditions and accumulated more Pi in the shoots and roots. In addition, the overexpression of OsPHL7 enhanced rice tolerance to salt stress. Together, these results demonstrate that OsPHL7 is involved in the maintenance of Pi homeostasis and enhances tolerance to Pi deficiency and salt stress in rice. Full article
(This article belongs to the Section Plant Genetics, Genomics and Biotechnology)
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<p><span class="html-italic">OsPHL7</span> expression patterns in response to N-, K-, Fe- or Pi-deficient conditions. (<b>A</b>,<b>B</b>) Northern blot assays of the expression patterns of <span class="html-italic">OsPHL7</span> in whole plants (<b>A</b>) or in the shoots and roots (<b>B</b>) of ten-day-old wild-type (WT) plants. (<b>A</b>) Expression levels in response to N, K, Fe or Pi deficiency after 1 day. (<b>B</b>) Time course of <span class="html-italic">OsPHL7</span> expression in response to Pi deficiency. “Full” indicates the nutrient-sufficient conditions, which included 5 mM of N, 2.5 mM of K, 1 mM of Fe and 500 µM of Pi. For each nutrient-deficient condition, one of the nutrients was reduced to 250 µM of N, 10 µM of K, 10 µM of Fe, or 20 µM of Pi, with full levels of the other nutrients provided. The treatments were applied to 10-day-old WT plants. Ethidium bromide (EtBr) staining shows equal loading of RNA.</p>
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<p>Effect of <span class="html-italic">OsPHL7</span> on the phenotypic responses to Pi deficiency. (<b>A</b>) The wild-type (WT), <span class="html-italic">OsPHL7</span>-overexpressing (Ox) and <span class="html-italic">osphl7</span>-RNA interference (RNAi) plants were grown for 10 days, after which seedlings were transferred to Pi-sufficient and Pi-deficient conditions. Scale bars indicate 5 cm (left, mid) and 1 cm (right). (<b>B</b>–<b>E</b>) Quantification of the lengths of the shoots (<b>B</b>) and primary roots (<b>C</b>) and the fresh weights of the shoots (<b>D</b>) and roots (<b>E</b>). (<b>F</b>,<b>G</b>) Pi concentrations were measured in the shoots (<b>F</b>) and roots (<b>G</b>) of plants under both Pi-sufficient and Pi-deficient conditions. (<b>H</b>) Quantification of root numbers in <span class="html-italic">OsPHL7</span>-Ox and <span class="html-italic">osphl7</span>-RNAi plants. Data represent mean values ± SD (<span class="html-italic">n</span> = 30). Asterisks indicate statistically significant differences between the corresponding samples and their controls (<span class="html-italic">p</span> &lt; 0.01, 1-way ANOVA with Tukey post hoc test).</p>
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<p>The expression patterns of Pi starvation response genes and Pi transport genes in the shoot of <span class="html-italic">OsPHL7</span>-overexpressing (Ox) and <span class="html-italic">osphl7</span>-RNA interference (RNAi) plants under Pi sufficient or deficiency conditions. RT-qPCR analysis of the expression levels of <span class="html-italic">OsSQD2</span>, <span class="html-italic">OsPHR2</span>, <span class="html-italic">OsIPS2</span>, <span class="html-italic">OsPAP10</span>, <span class="html-italic">OsPHO2</span>, <span class="html-italic">OsmiR399a</span>, <span class="html-italic">OSmiR399j</span>, <span class="html-italic">OsPT2</span>, <span class="html-italic">OsPT6</span> and <span class="html-italic">OsPT10</span> in response to Pi-deficient conditions in the shoots of 10-day-old <span class="html-italic">OsPHL7</span>-overexpressing (Ox), <span class="html-italic">osphl7</span>-RNA interference (RNAi) and wild-type (WT) plants. The plants were treated with 500 µM of Pi (+Pi) or 20 µM of Pi (−Pi) for 1 day. Ox2, Ox3 and Ox5 are three independent lines of P35S::<span class="html-italic">OsPHL7</span>; i3, i4 and i7 are three independent lines of <span class="html-italic">osphl7</span>-RNAi. The data are mean values of three biological replicates, and error bars indicate SD. Asterisks indicate statistically significant differences between the corresponding samples and their controls (<span class="html-italic">p</span> &lt; 0.01, 1-way ANOVA with Tukey post hoc test). <span class="html-italic">OsActin1</span> was used as the internal control, and the relative expression levels are shown in fold values.</p>
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<p>Effect of <span class="html-italic">OsPHL7</span> on salt stress tolerance. (<b>A</b>) The phenotypes of the <span class="html-italic">OsPHL7-</span>overexpressing (Ox), <span class="html-italic">osphl7</span>-RNA interference (RNAi) and wild-type (WT) plants during salt stress. Ten-day-old plants were exposed to salt stress (100 µM NaCl) for a further 10 days. (<b>B</b>–<b>D</b>) Measurement of the lengths (<b>B</b>), weights (<b>C</b>) and survival rates (<b>D</b>) of the plants after 10 days of salt stress. The data represent mean values ± SD (<span class="html-italic">n</span> = 30). Asterisks indicate statistically significant differences between the corresponding samples and their controls (<span class="html-italic">p</span> &lt; 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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14 pages, 5346 KiB  
Article
OsMYB58 Negatively Regulates Plant Growth and Development by Regulating Phosphate Homeostasis
by Dongwon Baek, Soyeon Hong, Hye Jeong Kim, Sunok Moon, Ki Hong Jung, Won Tae Yang and Doh Hoon Kim
Int. J. Mol. Sci. 2024, 25(4), 2209; https://doi.org/10.3390/ijms25042209 - 12 Feb 2024
Cited by 2 | Viewed by 1419
Abstract
Phosphate (Pi) starvation is a critical factor limiting crop growth, development, and productivity. Rice (Oryza sativa) R2R3-MYB transcription factors function in the transcriptional regulation of plant responses to various abiotic stresses and micronutrient deprivation, but little is known about their roles [...] Read more.
Phosphate (Pi) starvation is a critical factor limiting crop growth, development, and productivity. Rice (Oryza sativa) R2R3-MYB transcription factors function in the transcriptional regulation of plant responses to various abiotic stresses and micronutrient deprivation, but little is known about their roles in Pi starvation signaling and Pi homeostasis. Here, we identified the R2R3-MYB transcription factor gene OsMYB58, which shares high sequence similarity with AtMYB58. OsMYB58 expression was induced more strongly by Pi starvation than by other micronutrient deficiencies. Overexpressing OsMYB58 in Arabidopsis thaliana and rice inhibited plant growth and development under Pi-deficient conditions. In addition, the overexpression of OsMYB58 in plants exposed to Pi deficiency strongly affected root development, including seminal root, lateral root, and root hair formation. Overexpressing OsMYB58 strongly decreased the expression of the rice microRNAs OsmiR399a and OsmiR399j. By contrast, overexpressing OsMYB58 strongly increased the expression of rice PHOSPHATE 2 (OsPHO2), whose expression is repressed by miR399 during Pi starvation signaling. OsMYB58 functions as a transcriptional repressor of the expression of its target genes, as determined by a transcriptional activity assay. These results demonstrate that OsMYB58 negatively regulates OsmiR399-dependent Pi starvation signaling by enhancing OsmiR399s expression. Full article
(This article belongs to the Special Issue Crop Stress Biology and Molecular Breeding 3.0)
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<p>Transcriptional expression of <span class="html-italic">OsMYB58</span> in rice under nutrient−deficient conditions. The upper panels of each figure indicated that transcript levels of <span class="html-italic">OsMYB58</span> were analyzed using the northern blot. The bottom graphs of each figure indicated that the relative values of band intensity were calculated by <span class="html-italic">rRNA</span> intensity. (<b>a</b>) Total RNA extracted from rice wild-type plants (<span class="html-italic">Oryza sativa</span> L. ‘Dongjin’) growing in various nutrient deficiency conditions. Rice plants were transferred to nitrogen (N−; 0.25 mM), phosphate (P−; 0.0125 mM), potassium (K−; 0.01 mM), or iron (Fe−; 0.01 mM)−deficient media and grown for 3 days. (<b>b</b>) Total RNA extracted from shoots and roots of rice plants after 3 days of treatment to high Pi (P+; 0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (P−; 0.0125 mM KH<sub>2</sub>PO<sub>4</sub>). (<b>c</b>,<b>d</b>) Rice samples were treated to low Pi at different time points. The total RNA was extracted from separate parts of the shoot (<b>c</b>) and root (<b>d</b>) parts of the harvested samples. The <span class="html-italic">rRNA</span> was a loading control.</p>
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<p>Sequence alignment and phylogenetic tree analysis of R2R3-type MYB transcription factors in Arabidopsis and rice. (<b>a</b>) Multiple protein sequence alignment of R2R3-type MYB protein in Arabidopsis and rice was generated by the Clustal Omega program (<a href="https://www.ebi.ac.uk/Tools/msa/clustalo/" target="_blank">https://www.ebi.ac.uk/Tools/msa/clustalo/</a> (accessed on 11 January 2023)). Identical protein sequences are shaded in black, and similar protein sequences are shaded in gray. (<b>b</b>) The phylogenetic tree of Arabidopsis and rice MYB proteins was constructed with the Neighbor-Joining method in MEGA X (<a href="https://www.megasoftware.net/" target="_blank">https://www.megasoftware.net/</a> (accessed on 11 January 2023)) using R2R3 domain sequences.</p>
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<p>Physiological analysis of <span class="html-italic">OsMYB58</span> overexpressing Arabidopsis plants under low-Pi conditions. (<b>a</b>) For overexpressing <span class="html-italic">OsMYB58</span> in Arabidopsis Col-0 plants, the diagram shows the plasmid DNA construct, including the hygromycin (Hyg) selection marker. (<b>b</b>) <span class="html-italic">OsMYB58</span> expression in <span class="html-italic">OsMYB58</span>-AraOX plants by RT-PCR analysis. Total RNA was extracted from selected <span class="html-italic">OsMYB58</span>-AraOX plants using hygromycin. <span class="html-italic">AtTUBULIN2</span> is an internal control. (<b>c</b>) 4-day-old seedlings of Arabidopsis wild-type (Col-0) and <span class="html-italic">OsMYB58</span> overexpressing plants (<span class="html-italic">OsMYB58</span>-AraOX) were transferred to medium including high Pi (0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (0.0125 mM KH<sub>2</sub>PO<sub>4</sub>) for 7 days and then the photos were taken. The scale bar indicates 1.8 cm. (<b>d</b>) Comparison of root architectures between Col-0 and <span class="html-italic">OsMYB58</span>-AraOX seedlings depicted in (<b>c</b>). The scale bar indicates 1.8 cm. (<b>e</b>–<b>h</b>) After 7 days to high Pi or low Pi, physiological changes in shoot and root were analyzed using various methodological measurements, including shoot fresh weight (<b>e</b>), root fresh weight (<b>f</b>), primary root length (<b>g</b>), and the number of lateral roots (<b>h</b>). (<b>i</b>,<b>j</b>) Pi concentrations were measured in the shoot (<b>i</b>) and root (<b>j</b>) of Col-0 and <span class="html-italic">OsMYB58</span>-AraOX after treatment to high Pi or low Pi for 7 days. Error bars represent the mean ± standard deviation (SD) of three biological replicates with 10 seedlings for each experiment. Asterisks represent significant differences from the Col-0 (*; 0.01 &lt; <span class="html-italic">p</span>-value ≤ 0.05, **; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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<p>Physiological analysis of <span class="html-italic">OsMYB58</span> overexpressing and knock-out mutant rice plants. (<b>a</b>) For overexpressing <span class="html-italic">OsMYB58</span> in rice plants, the diagram shows the plasmid DNA construct, including the hygromycin (Hyg) selection marker. (<b>b</b>) <span class="html-italic">OsMYB58</span> expression in <span class="html-italic">OsMYB58</span>-OX plants via RT-PCR analysis. Total RNA was extracted from selected <span class="html-italic">OsMYB58</span>-OX rice plants using hygromycin. <span class="html-italic">OsACTIN</span> is an internal control. (<b>c</b>) Schematic diagrams of <span class="html-italic">OsMYB58</span> mutation by T-DNA insertion. P1 and P2 mean the specific primers of the <span class="html-italic">OsMYB58</span> gene. P3 means the specific primer of exogenous T-DNA. The red color indicates the T-DNA into the <span class="html-italic">OsMYB58</span> gene. (<b>d</b>) Genotyping PCR analysis in <span class="html-italic">OsMYB58</span>-KO plants. For selecting T-DNA-inserted transgenic plants, diagnostic PCR was performed in wild-type (WT) and <span class="html-italic">OsMYB58</span>-KO plants using a combination of gene-specific (P1 and P2) or T-DNA-specific (P3) primers. (<b>e</b>) <span class="html-italic">OsMYB58</span> expression in <span class="html-italic">OsMYB58</span>-KO plants by RT-PCR analysis. Total RNA was extracted from selected <span class="html-italic">OsMYB58</span>-KO rice plants using hygromycin. <span class="html-italic">OsACTIN</span> is an internal control. (<b>f</b>) 7-day-old seedlings of rice wild-type (WT), <span class="html-italic">OsMYB58</span> overexpressing plants (<span class="html-italic">OsMYB58</span>-OX), and <span class="html-italic">OsMYB58</span> T-DNA-tagging knock-out mutant (<span class="html-italic">OsMYB58</span>-KO) were transferred to medium including high Pi (0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (0.0125 mM KH<sub>2</sub>PO<sub>4</sub>) for 7 days and then the photos were taken. The scale bar indicates 5 cm. (<b>g</b>–<b>j</b>) After 7 days to high Pi or low Pi, physiological changes in the shoot and root were analyzed via various methodological measurements, including fresh weight of shoots (<b>g</b>), fresh weight of roots (<b>h</b>), length of shoots (<b>i</b>), and length of primary roots (<b>j</b>). Error bars represent the mean ± standard deviation (SD) of three biological replicates with five seedlings for each experiment. Asterisks represent significant differences from the WT (*; 0.01 &lt; <span class="html-italic">p</span>-value ≤ 0.05, **; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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<p>Physiological alteration in root architecture of <span class="html-italic">OsMYB58</span>-OX and <span class="html-italic">OsMYB58</span>-KO plants. (<b>a</b>) 3-day-old seedlings of rice WT, <span class="html-italic">OsMYB58</span>-OX, and <span class="html-italic">OsMYB58</span>-KO were transferred to medium including high Pi (0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (0.0125 mM KH<sub>2</sub>PO<sub>4</sub>) for 7 days and then the photos were taken in root architecture. The white arrow indicated the primary roots, and the yellow arrowhead indicated the seminal roots. Scale bar in upper or middle panels indicated the 1 cm. Scale bar in bottom panels indicated the 0.5 mm. (<b>b</b>–<b>g</b>) After 7 days to high Pi or low Pi, physiological alteration in root architecture was analyzed using various methodological measurements, including length of seminal roots (<b>b</b>), number of seminal roots (<b>c</b>), length of lateral roots (<b>d</b>), number of lateral roots (<b>e</b>), length of root hair (<b>f</b>), and number of lateral roots per 1cm primary roots (<b>g</b>). Error bars represent the mean ± standard deviation (SD) of three biological replicates with five seedlings for each experiment. Asterisks represent significant differences from the WT (**; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
Full article ">Figure 6
<p>Pi accumulation in <span class="html-italic">OsMYB58</span>-OX and <span class="html-italic">OsMYB58</span>-KO plants. Pi concentrations were measured in the shoots (<b>a</b>) and roots (<b>b</b>) of rice WT, <span class="html-italic">OsMYB58</span>-OX, and <span class="html-italic">OsMYB58</span>-KO plants under high Pi (0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (0.0125 mM KH<sub>2</sub>PO<sub>4</sub>) conditions. Error bars represent the mean ± standard deviation (SD) of three biological replicates with five seedlings for each experiment. Asterisks represent significant differences from the WT (**; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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<p>Transcripts comparison of Pi-responsive genes and Pi transporters in <span class="html-italic">OsMYB58</span>-OX and <span class="html-italic">OsMYB58</span>-KO plants. Seven-day-old seedlings of rice WT, <span class="html-italic">OsMYB58</span>-OX, and <span class="html-italic">OsMYB58</span>-KO were transferred to medium including high Pi (0.25 mM KH<sub>2</sub>PO<sub>4</sub>) or low Pi (0.0125 mM KH<sub>2</sub>PO<sub>4</sub>) for 7 days. For qRT-PCR analysis, total RNA was extracted from shoots and roots of high Pi- or low Pi-treated plants. qRT-PCR was used to analyze the transcript levels of Pi-responsive genes, such as <span class="html-italic">OsmiR399a</span> (<b>a</b>), <span class="html-italic">OsmiR399j</span> (<b>b</b>), <span class="html-italic">OsIPS1</span> (<b>c</b>), <span class="html-italic">OsPHO2</span> (<b>d</b>), <span class="html-italic">OsPT2</span> (<b>e</b>), and <span class="html-italic">OsPT4</span> (<b>f</b>) using specific primers in <a href="#app1-ijms-25-02209" class="html-app">Supplementary Table S1</a>. Expression of <span class="html-italic">OsACTIN1</span> was used for the normalization. Error bars represent the mean ± standard deviation (SD) of three biological replicates. Asterisks represent significant differences from the WT (*; 0.01 &lt; <span class="html-italic">p</span>-value ≤ 0.05, **; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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<p>Transcriptional activity of <span class="html-italic">OsMYB58</span> in Arabidopsis protoplast transient system. A schematic diagram showed the effector and reporter plasmid DNA used in the transient expression assay. Combinations with each effector, along with two reporters, were co-transfected into protoplasts from 2-week-old Arabidopsis leaves. <span class="html-italic">ARF5/MP</span> was used as an experimental positive control, and <span class="html-italic">35S:LUC</span> plasmid DNA was used as an internal control. After normalization via LUC activity, GUS activity in each transfected protoplast sample was calculated. Error bars represent the mean ± standard deviation (SD) of three biological replicates. Asterisks represent significant differences from the BD-vector (**; <span class="html-italic">p</span>-value ≤ 0.01, Student’s <span class="html-italic">t</span>-test).</p>
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