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Search Results (1,442)

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15 pages, 3340 KiB  
Article
Facilitating Endorsement Efficacy: The Interplay of Parasocial Interaction, Product Placement, and Influencer Type
by Wanqi Gong, Wenqing Ye and Shubin Yu
J. Theor. Appl. Electron. Commer. Res. 2024, 19(4), 3214-3228; https://doi.org/10.3390/jtaer19040156 - 21 Nov 2024
Viewed by 12
Abstract
Social media platforms fostering a closer and more intimate bond between celebrities and their fan bases has opened up diverse avenues for product placement. In light of this, this study endeavors to explore the profound influence of parasocial interaction (PSI) and product placement [...] Read more.
Social media platforms fostering a closer and more intimate bond between celebrities and their fan bases has opened up diverse avenues for product placement. In light of this, this study endeavors to explore the profound influence of parasocial interaction (PSI) and product placement on the effectiveness of celebrity endorsement within the social media landscape. The results derived from an online experiment unveil the positive impact of parasocial interaction on consumers’ attitudes and purchase intention. Notably, the potency of PSI is enhanced when product placement is prominent. The results also uncover the crucial role of brand recall as a mediator in the relationship between parasocial interaction and endorsement outcomes. These findings shed light on the underlying mechanisms governing the influence of parasocial interaction and social media celebrity types in the realm of social media endorsement while also providing valuable insights into the moderating role of product placement. From a practical standpoint, the results underscore the critical importance of carefully selecting celebrity endorsers and strategically positioning products. Armed with this knowledge, marketers and advertisers can better explore the complex landscape of social media endorsement with greater efficacy and precision. Full article
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<p>Hypothesized model.</p>
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15 pages, 1167 KiB  
Article
Patient Safety Incidents in Inpatient Psychiatric Settings: An Expert Opinion Survey
by Sophia Russotto, Andrea Conti, Kris Vanhaecht, José Joaquín Mira and Massimiliano Panella
Behav. Sci. 2024, 14(11), 1116; https://doi.org/10.3390/bs14111116 - 20 Nov 2024
Viewed by 188
Abstract
Patient safety in psychiatric inpatient facilities remains under-researched despite its crucial importance. This study aims to address this gap by using expert opinion to estimate the frequency of diverse patient safety incidents (PSIs) in psychiatric settings and to compare it with the existing [...] Read more.
Patient safety in psychiatric inpatient facilities remains under-researched despite its crucial importance. This study aims to address this gap by using expert opinion to estimate the frequency of diverse patient safety incidents (PSIs) in psychiatric settings and to compare it with the existing literature. Utilizing a seven-step approach, a questionnaire based on the World Health Organization’s International Classification for Patient Safety was developed and deployed. A total of 33 expert opinions were collected. Results showed a higher estimated incidence of PSIs in psychiatric settings compared to general healthcare, highlighting categories such as patient behavior, medication, and infrastructure as significant contributors. Experts emphasized the prevalence of incidents related to behavioral issues and inadequate infrastructure, areas often overlooked in the existing literature. Unlike general settings, psychiatric facilities appear more vulnerable to specific PSIs, such as those related to medication and building safety, underscoring the need for targeted safety measures. Our study suggests the existence of significant discrepancies between expert opinion and available research, with several underexplored domains in psychiatric patient safety. Full article
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<p>The seven-step process.</p>
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<p>Visual representation of respondent demographics.</p>
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<p>Comparison of ITC rates (as percentage) of psychiatric inpatient setting (Expert opinion) and general care (Literature review).</p>
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12 pages, 5447 KiB  
Article
Quantitative Risk Assessment of Steam Reforming Process by Hydrogen Generator, Using PHAST Model
by Jongseok Lee, Hyunjun Kwak and Seungho Jung
Energies 2024, 17(22), 5704; https://doi.org/10.3390/en17225704 - 14 Nov 2024
Viewed by 348
Abstract
This study applied a risk assessment technique to the steam reforming process in hydrogen production facilities to generate baseline data for preparing safety protocols in related workplaces. To this end, consequence analysis (CA) was conducted using DNV-PHAST v.8.9., focusing on the reforming process, [...] Read more.
This study applied a risk assessment technique to the steam reforming process in hydrogen production facilities to generate baseline data for preparing safety protocols in related workplaces. To this end, consequence analysis (CA) was conducted using DNV-PHAST v.8.9., focusing on the reforming process, which operates at the highest temperature and pressure among related processes. This study predicted jet fire damage resulting from the total failure of a 65 mm syngas pipe at the rear end of the reformer, with a projected flame length of up to 23.6 m based on a radiant heat of 5 kW/m2. As per the assessment, a vapor cloud explosion (VCE) caused damage of up to 42.6 m at an overpressure of 0.07 bar (1 psi), while a flash fire had an impact range of approximately 12.7 m based on hydrogen’s LFL (lower flammable limit). This quantitative risk assessment of the general steam reforming process provides valuable basic data for the design and operation of related facilities. Full article
(This article belongs to the Special Issue Safety of Hydrogen Energy: Technologies and Applications)
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<p>PFD (Process Flow Diagram) of hydrogen production from SMR.</p>
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<p>Radiation vs. distance for jet fire: worst leak scenario.</p>
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<p>Radiation vs. distance for jet fire: alternative leak scenario 1.</p>
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<p>Radiation vs. distance for jet fire: alternative leak scenario 2.</p>
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<p>Radiation ellipse for jet fire: worst leak scenario.</p>
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<p>Radiation ellipse for jet fire: alternative leak scenario 1.</p>
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<p>Radiation ellipse for jet fire: alternative leak scenario 2.</p>
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<p>Overpressure impact range for VCE: worst explosion scenario.</p>
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<p>Overpressure impact range for VCE: alternative explosion scenario 1.</p>
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<p>Overpressure impact range for VCE: alternative explosion scenario 2.</p>
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<p>Lower flammable limit range for flash fire: worst fire scenario.</p>
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<p>Lower flammable limit range for flash fire: alternative fire scenario 1.</p>
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25 pages, 2090 KiB  
Article
Assessing the Parenting Stress Index-Short Form (PSI-SF) for Latinx Parents of Children with Intellectual and Developmental Disabilities Within Exploratory Structural Equation Modeling and Structural Equation Modeling-Based Generalizability Theory Frameworks
by Hyeri Hong and Kristina Rios
Psychiatry Int. 2024, 5(4), 842-866; https://doi.org/10.3390/psychiatryint5040058 - 11 Nov 2024
Viewed by 349
Abstract
Although the Parenting Stress Index-Short Form (PSI-SF) is widely applicable, there has been a dearth of research on the psychometric properties and item wording effects associated with the cultural sensitivity of the instrument. This study investigated the psychometric properties, the factor structure, and [...] Read more.
Although the Parenting Stress Index-Short Form (PSI-SF) is widely applicable, there has been a dearth of research on the psychometric properties and item wording effects associated with the cultural sensitivity of the instrument. This study investigated the psychometric properties, the factor structure, and the negative and positive item wording effects of PSI-SF for 96 Latinx parents of children with intellectual and developmental disabilities in the United States within exploratory structural equation modeling, and structural equation modeling-based generalizability theory frameworks. This study produces the following noteworthy findings. First, the ESEM bifactor model with negatively and positively phrased items best captured the theoretical frameworks underlying the structure of the PSI-SF. Second, adding method factors enhanced the model fits of all the factor models. Third, this study discovered several items with great proportions of method factors. This study recommended that the items with high proportions of method factors, which may likely be culturally insensitive to Latinx parents, be examined further and refined. With the use of accurately assessed PSI-SF scores, practitioners will be better able to support and empower Latinx parents of children with IDD and better meet their needs through the FIRME program, a parent advocacy initiative. Full article
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<p>The one factor model.</p>
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<p>The three factor model.</p>
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<p>The bifactor model.</p>
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11 pages, 959 KiB  
Article
Oral Health of Children and Adolescents with Diabetes Mellitus
by Pauline Schädlich, Judit Symmank, Axel Dost, Collin Jacobs and Yvonne Wagner
J. Clin. Med. 2024, 13(22), 6742; https://doi.org/10.3390/jcm13226742 - 9 Nov 2024
Viewed by 518
Abstract
Aim: To examine the oral health of children and adolescents with and without diabetes mellitus. Background: Diabetes mellitus is the most common metabolic disease in childhood and demonstrates an increasing incidence. Many children live with gingivitis as a precursor to periodontitis. If left [...] Read more.
Aim: To examine the oral health of children and adolescents with and without diabetes mellitus. Background: Diabetes mellitus is the most common metabolic disease in childhood and demonstrates an increasing incidence. Many children live with gingivitis as a precursor to periodontitis. If left untreated, it can cause the development of periodontitis. The links between periodontitis and diabetes mellitus are known but have been little studied in the age group of children and adolescents. Materials and Methods: Clinical examination and collection of sulcus fluid from participants aged 5 to 21 years was performed. The following data were collected: demographic variables, caries prevalence, DMF-T, VPI, PUFA, salivary flow rate, HbA1c, PSI, and the concentration of IL-1β, IL-6, MMP-8, and TNF-α. Results: Patients with diabetes mellitus showed a significantly lower salivary flow rate with higher concentrations of MMP-8 and IL-1β. The data indicate that at this age, regular visits to the dentist are of great importance for the promotion of oral health in children and adolescents regardless of diabetes and that patients with diabetes mellitus in particular benefit from prevention, as they belong to the periodontitis risk group. Conclusions: Patients with low salivary flow rates and increased inflammatory mediators are high-risk patients for whom dental preventive measures play a major role. Full article
(This article belongs to the Special Issue Pediatric Dentistry—Clinical Updates)
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<p>Comparison of salivary flow rate among the study groups. * <span class="html-italic">p</span>-value &lt; 0.05, dots: outliers.</p>
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<p>Concentrations of pro-inflammatory cytokines measured in sulcus fluids of diabetic patients in relation to healthy controls. (<b>A</b>)—Concentration of IL-1β; (<b>B</b>)—Concentration of IL-6; (<b>C</b>)—Concentration of TNF-α; (<b>D</b>)—Concentration of MMP-8; ***—<span class="html-italic">p</span>-value &lt; 0.001; n.s.—not significant.</p>
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16 pages, 1639 KiB  
Article
Changes of Dental Implant Surgery-Related Anxiety and Pain with Respect to ASA-Physical Status
by Alper Sağlanmak and Volkan Arısan
J. Clin. Med. 2024, 13(22), 6686; https://doi.org/10.3390/jcm13226686 - 7 Nov 2024
Viewed by 348
Abstract
Background/Objectives: Rehabilitation of missing teeth with dental implants is a strong trigger of dental anxiety. The sympathetic response caused by anxiety can lead to cardiovascular and cerebrovascular incidents, especially in patients at systemic risk (ASA Physical Status-II and ASA Physical Status-III). Dental anxiety [...] Read more.
Background/Objectives: Rehabilitation of missing teeth with dental implants is a strong trigger of dental anxiety. The sympathetic response caused by anxiety can lead to cardiovascular and cerebrovascular incidents, especially in patients at systemic risk (ASA Physical Status-II and ASA Physical Status-III). Dental anxiety can affect physical health by activating the sympathetic response, and the patient’s physical health status may also affect dental anxiety. The aim of this study was to analyze the factors that may reduce anxiety and pain, considering the patient’s physical health status according to American Society of Anesthesiologists (ASA-PS). Methods: A total of 562 implants were placed under local anesthesia in 201 patients with ASA PS-I (healthy) and ASA PS-II and III (comorbid). The effect of patient-, dentist-, and surgery-related variables on dental anxiety and pain perception were evaluated. Modified Corah Dental Anxiety Scale and Numerical Rating Scale for Pain scores were measured and recorded preoperatively (T0) and 1 week postoperatively (T1). The effects of the associated variables were analyzed using binary logistic regression and non-parametric tests (p < 0.05). Results: Age (OR = 1.089), gender (OR = 6.493), ASA-PS (OR = 13.912), and the number of placed implants (OR = 0.807) were significantly associated with reduction in dental anxiety. There were statistically significant differences between the study groups in terms of mDAS score reduction (p = 0.028). Conclusions: ASA-PS, gender and the number of placed implants affected the anxiety of the patients. Age and number of implants seem to be variables with a relative influence that depends on other factors. Full article
(This article belongs to the Special Issue Modern Patient-Centered Dental Care)
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<p>Study flow chart of the study population.</p>
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<p>Box-plot graphic of mDASs and NRSs change. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>American Society of Anesthesiologists Physical Health Status Classification.</p>
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15 pages, 4456 KiB  
Article
Interaction Dynamics of Plant-Specific Insert Domains from Cynara cardunculus: A Study of Homo- and Heterodimer Formation
by Miguel Sampaio, Sofia Santos, Ana Marta Jesus, José Pissarra, Gian Pietro Di Sansebastiano, Jonas Alvim and Cláudia Pereira
Molecules 2024, 29(21), 5139; https://doi.org/10.3390/molecules29215139 - 30 Oct 2024
Viewed by 536
Abstract
Plant aspartic proteinases (APs) from Cynara cardunculus feature unique plant-specific insert (PSI) domains, which serve as essential vacuolar sorting determinants, mediating the transport of proteins to the vacuole. Although their role in vacuolar trafficking is well established, the exact molecular mechanisms that regulate [...] Read more.
Plant aspartic proteinases (APs) from Cynara cardunculus feature unique plant-specific insert (PSI) domains, which serve as essential vacuolar sorting determinants, mediating the transport of proteins to the vacuole. Although their role in vacuolar trafficking is well established, the exact molecular mechanisms that regulate PSI interactions and functions remain largely unknown. This study explores the ability of PSI A and PSI B to form homo- and heterodimers using a combination of pull-down assays, the mating-based split-ubiquitin system (mbSUS), and FRET-FLIM analyses. Pull-down assays provided preliminary evidence of potential PSI homo- and heterodimer formation. This was conclusively validated by the more robust in vivo mbSUS and FRET-FLIM assays, which clearly demonstrated the formation of both homo- and heterodimers between PSI A and PSI B within cellular environments. These findings suggest that PSI dimerization is related to their broader functional role, particularly in protein trafficking. Results open new avenues for future research to explore the full extent of PSI dimerization and its implications in plant cellular processes. Full article
(This article belongs to the Section Molecular Structure)
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Graphical abstract

Graphical abstract
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<p>(<b>A</b>) Schematic representation of PSI-tagged versions used in pull-down assays. SDS-PAGE analysis of PSI–PSI interactions by pull-down assay at pH 6.8 (<b>B</b>,<b>C</b>) and 7.4 (<b>D</b>,<b>E</b>). (<b>B</b>(<b>a</b>),<b>C,D</b>(<b>a</b>) and <b>E</b>) Inputs and pull-down reactions were analyzed on a silver-stained gel. Each pull-down lane was loaded with 15 μL of pull-down reaction and input lanes were loaded with 1/3 of the amount of purified protein added to each reaction. (<b>B</b>)(<b>b</b>)–(<b>D</b>)(<b>b</b>) Western blot analysis to evaluate the presence of FLAG-tagged PSIs in the pull-down reactions. MW: Molecular Weight (PageRuler<sup>TM</sup> Prestained Protein Ladder, Thermo Scientific, Waltham, MA, USA). Red, green, and blue arrows represent GST-PSIA/PSIB-6xHis, FLAG-PSI A-6xHis, and FLAG-PSIB-6xhis, respectively.</p>
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<p>Split ubiquitin yeast two-hybrid assay. (<b>A</b>) Illustrations represent the bait and prey structures. The bait protein is fused to a typical GPI anchor [<a href="#B22-molecules-29-05139" class="html-bibr">22</a>]. (<b>B</b>) Yeast mating-based split-ubiquitin assay for interaction, including negative control (NubG) and positive control (NubI). Yeast diploids dropped at 1:10 and 1:100 dilutions spotted (<b>left</b> to <b>right</b>) on complete synthetic medium without Trp, Leu, Ura, and Met (CSM-LTUM) to verify mating; on CSM without Trp, Leu, Ura, Ade, His, and Met (CSM-LTUMAH) to verify adenine- and histidine-independent growth; and with Met additions to suppress bait expression.</p>
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<p>FRET-FLIM interaction assay. (<b>A</b>) Schematic representation of the fluorescent protein fusions performed in this study. Blue, yellow, green, and red rectangles represent SP-PSIA, SP-PSIB, green fluorescent protein (GFP), and red fluorescent protein (mCherry), respectively. (<b>B</b>) Mean lifetime graphic representation of PSI A—PSIA/B fluorescent protein pairs. Asterisks represent statistically significant differences in mean fluorescence lifetime with an α threshold of 0.05 and a 95% confidence interval (***, <span class="html-italic">p</span> &lt; 0.0002; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) Subcellular localization of PSI A—PSIA/B fluorescent protein pairs. (<b>D</b>) Mean lifetime graphic representation of PSI B—PSI A/B fluorescent protein pairs. Asterisks represent statistically significant differences in mean fluorescence lifetime with an α threshold of 0.05 and a 95% confidence interval (****, <span class="html-italic">p</span> &lt; 0.0001). (<b>E</b>) Subcellular localization of PSI B—PSIA/B fluorescent protein pairs. SP—signal peptide.</p>
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<p>Bioinformatic analysis of the cardoon PSI A and PSI B amino acidic sequence. (<b>A</b>) Identification of conserved regions between PSI A and PSI B. Analysis performed with NetPhos 3.1 webtool (<a href="https://services.healthtech.dtu.dk/services/NetPhos-3.1/" target="_blank">https://services.healthtech.dtu.dk/services/NetPhos-3.1/</a>, accessed on 21 January 2024). Yellow zones represent conserved regions between PSI A and B while the red asterisk (*) represents a glycosylation site in PSI B. (<b>B</b>) Prediction of phosphorylation sites in both PSIs. Produced with Jalview webtool (<a href="https://www.jalview.org" target="_blank">https://www.jalview.org</a>, accessed on 21 January 2024). (<b>C</b>) Analysis of the hydrophilic potential of PSI A and PSI B amino acid sequence. Produced with Jalview webtool (<a href="https://www.jalview.org/" target="_blank">https://www.jalview.org/</a>, accessed on 21 January 2024) (<b>D</b>) Lipid binding potential prediction of amino acid regions in cardoon PSI A and PSI B. Analysis done with DisoLipPred webtool (<a href="http://biomine.cs.vcu.edu/servers/DisoLipPred/" target="_blank">http://biomine.cs.vcu.edu/servers/DisoLipPred/</a>, accessed on 21 January 2024). (<b>E</b>) Tertiary structure prediction of PSI A and PSI B. Double-edged red arrow is used to show that PSI A possesses a clustered tertiary structure while PSI B is a bit wider. Produced with AlphaFold webtool (<a href="https://alphafold.ebi.ac.uk/" target="_blank">https://alphafold.ebi.ac.uk/</a>, accessed on 21 January 2024). Dashed lines represent the threshold value for putative lipid interaction detected by the software. In all figures, the yellow square represents an uncharacterized but conserved loop region found in both PSIs that has potential for lipid interaction and therefore may interact with membranes.</p>
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17 pages, 3104 KiB  
Article
Experimental Assessment of Corrosion Properties for Materials Intended for Heavy Crude Processing
by Raúl González-Durán, Alvaro Rodríguez-Prieto, Ana María Camacho, Darío Y. Peña-Ballesteros and Aníbal Serna
Materials 2024, 17(21), 5275; https://doi.org/10.3390/ma17215275 - 30 Oct 2024
Viewed by 410
Abstract
Heavy crude oil processing presents significant challenges owing to its complex composition and requirement for processing conditions, which increase the process safety risk in crude processing units, such as fixed equipment, for instance pressure vessels and pipes. The aim of this work is [...] Read more.
Heavy crude oil processing presents significant challenges owing to its complex composition and requirement for processing conditions, which increase the process safety risk in crude processing units, such as fixed equipment, for instance pressure vessels and pipes. The aim of this work is to evaluate the influence of heavy crude oils named A and B and the effect of sulfur-rich compounds and organic acids on the performance at high temperatures of three metallic alloys (5Cr-1/2Mo/ASTM A335GP5, X6CrNiMoTi17122/AISI-SAE 316Ti and Ni66.5Cu31.5/Monel 400) and propose an alternative to be used in pressure vessels and piping in refineries. This work was based on the need to understand the corrosivity of two heavy crude oils (A and B) from eastern Colombia in three materials, evaluated at three temperatures (200 °C, 250 °C and 300 °C) under the same conditions of pressure (200 psi) and rotation velocity (600 rpm) in a dynamic autoclave to simulate atmospheric conditions and conditions in vacuum refinery towers. An understanding of how these factors interact with the fundamental principles of corrosion kinetics is essential for developing an effective corrosion mitigation strategy. The results were interesting for applications requiring high corrosion resistance. X6CrNiMoTi17122/AISI-SAE 316Ti is a solid candidate for this application, with corrosion rates of 0.2 to 0.87 mpy. Ni66.5Cu31.5/Monel 400 exhibited significant corrosion rates up to 74.89 mpy, especially at higher temperatures (300 °C). 5Cr-1/2Mo/ASTM A335GP5 showed a generally moderate corrosion rate (2.04–5.57 mpy) in the evaluated temperature range. Full article
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<p>(<b>a</b>) Refinery corrosion-affected areas. (<b>b</b>) Corrosion testing circuit apparatus, coupons and setting. (<b>c</b>) Corrosion testing apparatus. (<b>d</b>) Coupons rag setting.</p>
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<p>Corrosion rate vs. temperature results at test time (96 h), regression mathematical model.</p>
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<p>Corrosion coupons: Comparison of corrosion products results.</p>
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<p>Corrosion coupons: Comparison of corrosion products (<b>a</b>) stable layer and (<b>b</b>) layer with microcracks.</p>
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<p>(<b>a</b>,<b>b</b>) Morphological analysis by SEM–EDS, scale formed on Monel 400 exposed to CRUDE B, at 300 °C, cross section (<b>a</b>) 400×, (<b>b</b>) 1.29k×; (<b>c</b>,<b>d</b>) Morphological analysis by SEM–EDS, scale formed on Monel 400 exposed to CRUDE B, at 300 °C, top view (<b>c</b>) 224×, (<b>d</b>) 1.52k×; (<b>e</b>) XRD results of the layer formed on the Ni66.5Cu31.5/Monel 400 exposed to CRUDE B, at 300 °C.</p>
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<p>(<b>a</b>,<b>b</b>) Morphological analysis by SEM–EDS, scale formed on 5Cr-1/2Mo/ASTM A335GP5 exposed to CRUDE B, at 300 °C cross-section (506×); (<b>c</b>,<b>d</b>) Morphological analysis by SEM–EDS, scale formed on 5Cr-1/2Mo exposed to CRUDE B, at 300 °C, top view (1.53K×); (<b>e</b>) Elemental analysis by EDS, layer formed on 5Cr-1/2Mo/ASTM A335GP5 exposed to CRUDE B, at 300 °C.</p>
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<p>(<b>a</b>) Morphological analysis by SEM–EDS, scale formed on 316Ti exposed to Crude B, at 300 °C, top view (425×); (<b>b</b>) Elemental analysis by EDS, scale formed on 316Ti exposed to Crude B, at 300 °C, top view (1.76K×); (<b>c</b>) Elemental analysis by EDS, layer formed on X6CrNiMoTi17122/AISI-SAE 316Ti exposed to CRUDE B, at 300 °C.</p>
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10 pages, 253 KiB  
Commentary
Exploring Social Support Strategies and Socio-Cultural Factors Influencing Social Isolation and Loneliness: The Role of Digital Literacy
by Ravi Batra, Jason D. Flatt, Jennifer R. Pharr, Manoj Sharma, Jagdish Khubchandani, Amar Kanekar, Francesco Chirico and Kavita Batra
Healthcare 2024, 12(21), 2149; https://doi.org/10.3390/healthcare12212149 - 29 Oct 2024
Viewed by 1202
Abstract
Background/Objectives: Social isolation (SI) and loneliness (L) are the long-standing critical concerns impacting the mental well-being of older adults. The COVID-19 pandemic has exacerbated existing vulnerabilities, leading to a notable rise in perceived social isolation (PSI) and its associated risks among an aging [...] Read more.
Background/Objectives: Social isolation (SI) and loneliness (L) are the long-standing critical concerns impacting the mental well-being of older adults. The COVID-19 pandemic has exacerbated existing vulnerabilities, leading to a notable rise in perceived social isolation (PSI) and its associated risks among an aging population. Reportedly, nearly 35% of older Americans felt lonely before the pandemic, with the pandemic further intensifying these feelings. This commentary examines the multifaceted factors contributing to PSI, including demographic and socio-economic characteristics. Methods: We outline the health risks associated with PSI, including cardiovascular diseases and mental health conditions. Results: This commentary addresses the potential of information and communication technology (ICT) to alleviate loneliness, despite significant barriers such as the digital divide and technological anxiety among older adults. Conclusions: This commentary advocates targeted digital literacy interventions and theoretical frameworks to enhance technology adoption and mitigate PSI, ultimately aiming to improve health outcomes and quality of life for the aging population. Full article
15 pages, 2157 KiB  
Article
Effects of Biostimulants on the Eco-Physiological Traits and Fruit Quality of Black Chokeberry (Aronia melanocarpa L.)
by Anastasia Giannakoula, Georgia Ouzounidou, Stefanos Stefanou, George Daskas and Olga Dichala
Plants 2024, 13(21), 3014; https://doi.org/10.3390/plants13213014 - 28 Oct 2024
Viewed by 555
Abstract
Biostimulants contribute to the physiological growth of plants by enhancing the quality characteristics of fruit without harming the environment. In addition, biostimulants applied to plants strengthen nutritional efficiency, abiotic stress tolerance, and fruit biochemical traits. We investigated the effectiveness of specific organic biostimulants. [...] Read more.
Biostimulants contribute to the physiological growth of plants by enhancing the quality characteristics of fruit without harming the environment. In addition, biostimulants applied to plants strengthen nutritional efficiency, abiotic stress tolerance, and fruit biochemical traits. We investigated the effectiveness of specific organic biostimulants. Five treatments were tested: (1) control (H2O, no biostimulants); (2) Magnablue + Keyplex 350 (Mgl + Kpl350); (3) Cropobiolife + Keyplex 120 (Cpl + Kpl120); (4) Keyplex 120 (Kpl120); and (5) Magnablue + Cropobiolife + Keyplex 120 (Mgl + Cpl + Kpl120) on the mineral uptake and physiology in black chokeberry (Aronia) plants, as well as the quality of their berries. The different treatments were applied to three-year-old chokeberry plants, and the experimental process in the field lasted from May to September 2022 until the harvest of ripe fruits. Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES) revealed that the fifth treatment significantly increased concentrations of P, Ca, and K. Additionally, the fifth treatment enhanced photochemical efficiency (Fv/Fm), water-splitting efficiency (Fv/Fo) in PSII, and the performance index (PI) of both PSI and PSII in chokeberry leaves. Improvements in photosynthesis, such as CO2 assimilation (A), transpiration (E), and water-use efficiency (A/E), were also noted under biostimulant applications. Upon harvesting the ripe fruits, part of them was placed at room temperature at 25 °C, while the rest were stored at 4 °C, RH 90% for 7 days. The cultivation with biostimulants had beneficial effects on the maintenance of flesh consistency, ascorbic acid concentration, and weight of berries at 4 and 25 °C, especially in the 5th treatment. Moreover, the total antioxidant capacity, anthocyanin concentration, and total phenols of the berries were notably higher in the third and fifth treatments compared to the control. These data suggest that selecting appropriate biostimulants can enhance plant yield and fruit quality by potentially activating secondary metabolite pathways. Full article
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<p>Chlorophyll fluorescence parameters (Fv/Fm, maximum efficiency of PSII photochemistry, Fv/Fo, efficiency of the oxygen-evolving complex on the donor side of PSII and PI, performance index) of black chokeberry leaves after biostimulants treatment (mean value, n = 4). Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Photosynthetic parameters A (CO<sub>2</sub> assimilation rate, (μmol CO<sub>2</sub> m<sup>−2</sup>s<sup>−1</sup>)), E (Transpiration rate (mmol H<sub>2</sub>O m<sup>−2</sup>s<sup>−1</sup>)), and WUE (A/E, (μmol CO<sub>2</sub>/mmol H<sub>2</sub>O)) of black chokeberry leaves after biostimulants treatment (mean value n = 4). Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Weight loss rate (%) of black chokeberry fruits after biostimulant treatment, 7 days of harvest, and storage at 4 or 25 °C. Mean value, n = 10.</p>
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<p>Flesh resistance in Newtons of black chokeberry fruits after biostimulant treatment, 7 days of harvest, and storage at 4 or 25 °C. Mean value, n = 9.</p>
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<p>Ascorbic acid concentration in (units) AsA of black chokeberry fruits after biostimulants treatment, on day 0, and after 7 days of fruit harvest and storage at 4 or 25 °C. Mean value, n = 3.</p>
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<p>Antioxidant contents (Anthocyanins, total phenolic content, and 1,1-diphenyl-2-picrylhydrazyl (DPPH)-Total Antioxidant Capacity) of black chokeberry fruits after biostimulants treatment at day 0 (mean value n = 3). Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Phosphorus concentration (% dry weight) in leaves and berries for chokeberry plants after biostimulant treatment. Mean value, n = 3. Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Potassium concentration (% dry weight) in leaves and berries for chokeberry plants after biostimulant treatment. Mean value, n = 3. Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Calcium concentration (% dry weight) in leaves and berries for chokeberry plants after biostimulant treatment. Mean value, n = 3. Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Magnesium concentration (% dry weight) in leaves and berries for chokeberry plants after biostimulant treatment. Mean value, n = 3. Different letters for each parameter indicate significant differences according to Duncan’s multiple range test (<span class="html-italic">p</span> = 0.05).</p>
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22 pages, 6802 KiB  
Article
Effect of Deposition Temperature on Zn Interstitials and Oxygen Vacancies in RF-Sputtered ZnO Thin Films and Thin Film-Transistors
by Sasikala Muthusamy, Sudhakar Bharatan, Sinthamani Sivaprakasam and Ranjithkumar Mohanam
Materials 2024, 17(21), 5153; https://doi.org/10.3390/ma17215153 - 23 Oct 2024
Viewed by 621
Abstract
ZnO thin films were deposited using RF sputtering by varying the argon:oxygen gas flow rates and substrate temperatures. Structural, optical and electrical characterization of ZnO thin films were systematically carried out using X-Ray diffraction (XRD), scanning electron microscopy (SEM), UV–visible spectroscopy, X-Ray photoelectron [...] Read more.
ZnO thin films were deposited using RF sputtering by varying the argon:oxygen gas flow rates and substrate temperatures. Structural, optical and electrical characterization of ZnO thin films were systematically carried out using X-Ray diffraction (XRD), scanning electron microscopy (SEM), UV–visible spectroscopy, X-Ray photoelectron spectroscopy (XPS) and Hall measurements. Film deposited at room temperature and annealed at 300 °C exhibited low O2 incorporation with localized defects and a high percentage of Zn interstitials. A large crystalline size and fewer grain boundaries resulted in a high Hall mobility of 46.09 cm2/V-s Deposition at higher substrate temperatures resulted in improvement in O2 incorporation through the annihilation of localized defects and decrease in oxygen vacancies and Zn interstitials. Urbach tails within the bandgap were identified using the absorption spectrum and compared with the % defects from XPS. Bottom-gate thin-film transistors were subsequently fabricated on a SiO2/p-Si substrate using the combination of RF sputtering, wet etching and photolithography. Variation in the substrate temperature showed performance enhancement in terms of the leakage current, threshold voltage, sub-threshold swing and ION/IOFF ratio. Thin-film transistor (TFT) devices deposited at 300 °C resulted in an O2-rich surface through chemisorption, which led to a reduction in the leakage current of up to 10−12 A and a 10-fold reduction in the sub-threshold swing (SS) from 30 V to 2.8 V. Further TFT optimization was carried out by reducing the ZnO thickness to 50 nm, which resulted in a field-effect mobility of 1.1 cm2/V-s and ION/IOFF ratio of 105. Full article
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<p>Schematic structure of ZnO TFT.</p>
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<p>GIXRD spectra of ZnO thin-film Samples A, B and C with different Ar:O<sub>2</sub> flow rates.</p>
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<p>GIXRD spectra of samples with different substrate temperatures.</p>
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<p>SEM image of ZnO thin-film Samples (<b>a</b>) A, (<b>b</b>) B, (<b>c</b>) C (Red arrows represents small voids between the crystallites), (<b>d</b>) D and (<b>e</b>) E.</p>
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<p>Tauc plot of Samples C, D and E.</p>
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<p>ln α vs. energy bandgap (E<sub>g</sub>).</p>
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<p>Core-level spectrum of Zn 2P peak.</p>
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<p>(<b>a</b>) XPS spectrum of O 1s peak—Sample C. (<b>b</b>) XPS spectrum of O 1s peak—Sample D. (<b>c</b>) XPS spectrum of O 1s peak—Sample E, with the following color representations: Red—Original XPS data, Green—O Vacancies component and Burgundy—O 1s peak component.</p>
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<p>(<b>a</b>) Zn LMM Auger peak—Sample C. (<b>b</b>) Zn LMM Auger peak—Sample D. (<b>c</b>) Zn LMM Auger peak—Sample E, with the following color representations: Red—Original XPS data, Green—Zn interstitials component and Burgundy—Zn-O component.</p>
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<p>Plot of Zn interstitials, O<sub>2</sub> vacancy and mobility of ZnO thin films.</p>
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<p>(<b>a</b>) Drain characteristics of TFT Device C1. (<b>b</b>) Drain characteristics of TFT Device D1. (<b>c</b>) Drain characteristics of TFT Device E1.</p>
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<p>(<b>a</b>) Drain characteristics of TFT Device C1. (<b>b</b>) Drain characteristics of TFT Device D1. (<b>c</b>) Drain characteristics of TFT Device E1.</p>
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<p>(<b>a</b>) Transfer characteristics of TFT Device C1. (<b>b</b>) Transfer characteristics of TFT Device D1. (<b>c</b>) Transfer characteristics of TFT Device E1.</p>
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<p>(<b>a</b>) Transfer characteristics of TFT Device C1. (<b>b</b>) Transfer characteristics of TFT Device D1. (<b>c</b>) Transfer characteristics of TFT Device E1.</p>
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<p>Transfer characteristics of ZnO TFT with variation in channel layer thickness.</p>
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16 pages, 2718 KiB  
Article
Optimization of the Homogenization Process of Ginseng Superfine Powder to Improve Its Powder Characteristics and Bioavailability
by Mei Sun, Keke Li, Yuanpei Zhang, Jiwen Li, Deqiang Dou, Xiaojie Gong and Zhongyu Li
Foods 2024, 13(20), 3332; https://doi.org/10.3390/foods13203332 - 20 Oct 2024
Viewed by 832
Abstract
As consumer demands evolve for health supplements, traditional ginseng products are facing challenges in enhancing their powder characteristics and bioavailability. The objective of this study was to prepare a novel ginseng superfine powder using a high-pressure homogenization (HPH) process. Response surface methodology was [...] Read more.
As consumer demands evolve for health supplements, traditional ginseng products are facing challenges in enhancing their powder characteristics and bioavailability. The objective of this study was to prepare a novel ginseng superfine powder using a high-pressure homogenization (HPH) process. Response surface methodology was employed to determine the effects of HPH parameters (pressure, number of passes, and concentration) on particle size and the dissolution of the saponin components of the superfine powders. The Box–Behnken design of experiments was applied to ascertain the optimal HPH parameters for the smallest particle size and the highest dissolution of the saponin components. For the powders obtained at different parameters, the characterization of tap density, bulk density, flowability, water-holding capacity, appearance, and taste were observed. The optimized experimental conditions for the HPH process were as follows: 15,000 psi (pressure), 3 (number of passes), and 1 kg/L (concentration). The optimized values were 55 μm (particle size) and 83 mg/g (dissolution of the saponin components), respectively. The method offered technical support for the application of the HPH process in the preparation of ginseng powders. The objects of this research could be broadened to include a diverse array of botanical materials, addressing contemporary demands for cost-effectiveness and sustainability within the industry. Full article
(This article belongs to the Section Food Engineering and Technology)
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<p>High-pressure homogenizer used in this study (<b>a</b>). Operational performance of high-pressure homogenizer (<b>b</b>).</p>
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<p>Response surface plot showing the effect of (<b>a</b>) pressure and number of passes, (<b>b</b>) pressure and concentration, and (<b>c</b>) number of passes and concentration on particle size of ginseng superfine powder. The trend showed that increased pressure and decreased concentration resulted in decreased particle size. However, the effect of the number of passes was insignificant. Color pattern in the graph corresponds to the value of particle size where blue (minimum), green (intermediate), and yellow-red (maximum).</p>
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<p>Response surface plot showing the effect of (<b>a</b>) pressure and number of passes, (<b>b</b>) pressure and concentration, and (<b>c</b>) number of passes and concentration on the dissolution of the saponin components of ginseng superfine powder. The trend showed that pressure had a significant impact on the dissolution of total saponin components; however, the effect of the number of passes and concentration was insignificant. Color pattern in the graph corresponds to the value of particle size where blue (minimum), green (intermediate), and yellow-red (maximum).</p>
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<p>Particle size distributions of ginseng superfine powders randomly selected. The particle size distribution of three randomly selected ginseng superfine powders was as follows: Run-1 (D<sub>97</sub> 129.83 ± 5.08 μm), Run-2 (D<sub>97</sub> 24.25 ± 1.08 μm) and Run-16 (D<sub>97</sub> 98.82 ± 2.08 μm). The chart indicated that the different powders exhibited similar homogeneity.</p>
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<p>SEM micro-graphs of the powders obtained at low (P-1, Run-2), intermediate (P-2, Run-14), and high (P-3, Run-17) levels of the variables. (<b>a</b>,<b>b</b>) showed the whole and a section of different powders, respectively.</p>
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<p>Effect of WHC value of the powders obtained at low (P-1, Run-2), intermediate (P-2, Run-14), and high (P-3, Run-17) levels of the variables (Data represent mean values ± standard deviation. Different lowercase letters show significant differences (<span class="html-italic">p</span> &lt; 0.05, n = 3)).</p>
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<p>Electronic tongue radar analysis plots of the powders obtained at low (P-1, Run-2), intermediate (P-2, Run-14), and high (P-3, Run-17) levels of the variables.</p>
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19 pages, 3398 KiB  
Article
Electroencephalographic and Cardiovascular Assessments of Isoflurane-Anesthetized Dogs
by Jeff C. Ko, Carla Murillo, Ann B. Weil, Matthias Kreuzer and George E. Moore
Vet. Sci. 2024, 11(10), 514; https://doi.org/10.3390/vetsci11100514 - 18 Oct 2024
Viewed by 862
Abstract
This study investigated the use of frontal electroencephalography (EEG) to monitor varying levels of isoflurane anesthesia in dogs. The patient state index (PSI), burst suppression ratio (SR), and waveforms, were continuously recorded while mean arterial blood pressure (MBP), heart rate, responses to electric [...] Read more.
This study investigated the use of frontal electroencephalography (EEG) to monitor varying levels of isoflurane anesthesia in dogs. The patient state index (PSI), burst suppression ratio (SR), and waveforms, were continuously recorded while mean arterial blood pressure (MBP), heart rate, responses to electric stimuli, and subjective anesthetic “depth” were assessed every 3 min. At deep anesthesia (2.5× MAC − 3.2%), the PSI (6.5 ± 10.8) and MBP (45.6 ± 16.4 mmHg) were the lowest, and SR was the highest (78.3 ± 24.0%). At 1× MAC (1.3%), the PSI and MBP increased significantly to 47.8 ± 12.6 and 99.8 ± 13.2, respectively, and SR decreased to 0.5 ± 2.5%. The EEG was predominantly isoelectric at 2×–2.5× MAC, indicating unconsciousness and unresponsiveness. As anesthesia lightened, waveforms transitioned to flatter and faster activity patterns with a response to noxious stimuli, suggesting regained consciousness. The PSI and MBP exhibited a stronger correlation (ρ = 0.8098, p = 0.001) than the relationship of PSI with heart rate (ρ = −0.2089, p = 0.249). Five of the six dogs experienced rough recovery, possibly due to high SR and low MBP. These findings suggest that EEG monitoring in dogs can be a valuable tool for the real-time tracking of brain states and can be used to guide the management of isoflurane anesthesia. Full article
(This article belongs to the Section Veterinary Surgery)
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<p>This schematic illustration depicts the treatment timeline for six dogs exposed to various end-tidal isoflurane concentrations. The x-axis represents the isoflurane concentration over time, while the y-axis indicates the different phases of treatment. Phase 0 (Awake—baseline) represents the dogs in their awake state, serving as the baseline. Phase 1 (Induction—face mask) involves induction with isoflurane using a face mask. Phase 2 (Profound anesthesia—2.5× MAC) involves maintaining isoflurane at 2.5× MAC for 10 min. Phase 3 (Deep anesthesia—2.0 MAC) involves reducing the concentration to 2.0× MAC and maintaining it for 15 min. Phase 4 (Surgical plane anesthesia—1.5× MAC) involves further reducing the concentration to 1.5× MAC for another 15 min. Phase 5 (Light anesthesia—1.0× MAC) involves decreasing the concentration to 1.0× MAC and maintaining it for 15 min. Phase 6 (Minimal anesthesia—0.75× MAC) involves lowering the concentration to 0.75× MAC for the final 15 min of maintenance. Phase 7 (Recovery) marks the recovery period, where the isoflurane concentration was terminated, allowing the dogs to regain consciousness. This figure provides a visual aid for the overview of the anesthesia treatment. The brain image suggests an approximate anatomical relationship for the phases, enhancing visual understanding despite not being precise.</p>
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<p>The spectrogram (upper panel) of a study dog illustrates the evolution of EEG patterns from awake (Phase 0) to isoflurane induction (Phase 1) and through various levels of isoflurane anesthesia (Phase 2–6), as indicated by MAC multiples and end-tidal isoflurane concentrations, to recovery (Phase 7). The 95% spectral edge frequency of the combined left and right hemispheres is depicted in the lower panel. Numbers separated by the purple lines represent the study phases (0–7). Burst suppression, characterized by dark blue regions in the upper panel and EEG frequency in the lower panel, was clearly evident during deeper anesthesia (2.5 and 2 MAC). As the levels of anesthesia lightened (1.5×, 1×, 0.75× MAC, and recovery), a distinct shift in SEF95 frequencies was observed, transitioning from burst suppression and delta dominance to alpha- and beta-band activity. As the dog recovered further, frequencies entered the high beta- and gamma-band activity.</p>
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<p>Panel (<b>A</b>) (left—timestamp 1:38 p.m.) shows an awake EEG pattern in the dog (Phase 0), characterized by high-frequency gamma waves, low amplitudes, and a high PSI (94) value. Due to high muscle activity (EMG 65%), the white color on the SedLine monitor’s spectrogram typically indicates periods of artifact that may be caused by such muscle activity, preventing the display of SEF95 values. Panel (<b>B</b>) (right—timestamp 1:48 p.m.) depicts the EEG pattern after isoflurane face mask induction and intubation (Phase 1), transitioning to profound anesthesia. The PSI trend graph, located in the middle of the figures, provides a visual representation of the PSI value changes over time, allowing clinicians to monitor changes in the patient’s level of consciousness and anesthetic depth. The PSI trend graphs in both panels (<b>A</b>,<b>B</b>) show high PSI values (the yellow blocks). The high-frequency awake waveform disappeared, transitioning to the typical isoflurane EEG pattern of alpha (SEF95 12.8 Hz) and beta (SEF95 21.4 Hz) waveforms. As the dog was in the early stages of transition, muscle activities remained high (EMG 59%). The spectrogram at the bottom of the figures transitioned from a pattern of high muscle activity and artifacts (Panel A - white color with some red color) to a typical light anesthesia pattern (Panel B) characterized by a mixture of high alpha and beta frequency colors (red-green and blue) and a reduction in muscle activity.</p>
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<p>Panel (<b>A</b>) (left figure) illustrates a state of EEG electrical silence in the dog after 10 min of exposure to 2.5× MAC (3.3% end-tidal) isoflurane. The dog exhibited a burst suppression ratio of 88%, and the PSI value was 3. The PSI trend graphs demonstrate a profound depth of anesthesia, indicated by the deep blue color during both 2.5× (<b>A</b>) and 2× MAC (<b>B</b>), which falls well below the default unconscious range of 25–50 PSI (the green zone in the PSI trend graph figure between 25 and 50 PSI). The spectrogram showed bilateral burst suppression with electrical silence, characterized by the presence of black color blocks with blue tip lines in both hemispheres. Panel (<b>B</b>) (right, timestamp 2:26 p.m.) depicts a state of total electrical silence with 100% burst suppression and a PSI value of zero at 15 min after anesthesia with isoflurane concentration of 2× MAC (2.6% end-tidal). The vertical pink lines demarcate the duration of 2.5× MAC, the transition from 2.5× MAC to 2× MAC, and the subsequent maintenance phase at 2× MAC. The white bars indicate periods of signal loss or poor quality, likely due to significant electrical silence and the profound burst suppression. The spectrogram at the bottom of the figures transitioned from a pattern of light plane of anesthesia characterized by red-green and blue colors (Panel <b>A</b>) to a high percentage of burst suppression (black color) (Panel <b>B</b>). The white line indicates artifacts during the EEG quiescence.</p>
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<p>This figure illustrates two types of burst suppression patterns. The burst suppression EEG pattern is characterized by alternating periods of high-voltage electrical activity waves (bursts) and periods of electrical inactivity or flat lines (suppression) in the brain. Panel (<b>A</b>) illustrates a type of burst suppression EEG waveform, characterized by bursting activity in the middle of the screen and long silent waveforms on either side. These waveforms were observed following exposure to a profound depth of anesthesia with prolonged isoelectric periods. In this case, electrical silence occurred during the profound and deep anesthesia of 2.5× and 2× MAC, and the dog was emerging from these periods. Panel (<b>B</b>) shows a different burst suppression pattern that occurred as the dog was in the surgical plane of anesthesia (1.5× MAC), when the isoflurane was not as profound as in 2.5× and 2× MAC but still profound enough to induce a burst suppression pattern. This burst suppression pattern was characterized by a short silent wave in the middle, while mixed with alpha- and beta-band activity and forming a distinct spectrogram that is easily discernible when comparing the spectrograms of (<b>A</b>). In (<b>A</b>), the spectrogram power remains low (all black color) due to electrical silence with some burst suppression (56%), whereas in (<b>B</b>), the burst suppression percentage reduces significantly to 14%, and other EEG power increases as indicated by the presence of red and green colors, suggesting the awakening of various brain regions from a previously profoundly depressed phase.</p>
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<p>Panel (<b>A</b>) illustrates the unique EEG pattern of the isoflurane surgical plane of anesthesia (Phase 4, 1.5× MAC) in dogs. The waveforms were dominated by alpha and beta activity (see <a href="#vetsci-11-00514-t001" class="html-table">Table 1</a> SEF95 values). The PSI was 24 with low SR of 4% and EMG of 5%. Panel (<b>B</b>) shows that as the depth of anesthesia lightened to 1× MAC, the PSI went up to 39, and EMG activity increased to 40%, visible on the spectrogram as a red line pattern spreading over time at high frequencies in the gamma-band range. The PSI trend graphs also provided a clear indication that the isoflurane anesthesia level went from profound depression to a much lighter plane of anesthesia over time. The spectrogram at the bottom of the figures shows the typical surgical plane of EEG powers, characterized by alpha and beta activity represented by red and green color blocks in both Panel (<b>A</b>) and Panel (<b>B</b>). Within the red block spectrogram, the 95% SEF, represented by the white lines, appears to fluctuate up and down.</p>
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<p>(<b>A</b>) The general PSI trend graph shows an upward swing from 1.5× MAC to 0.75× MAC over time, with fluctuations and a sudden dip due to burst suppression (see the black block in the figure). (<b>B</b>) When the anesthetic concentration was reduced from 1× MAC to 0.75× MAC, there was a noticeable increase in EMG activity in both the spectrogram (as evidenced by the red-colored line spreading over time in the bottom part of the spectrogram) and the raw EEG waveforms. The figure clearly depicts continuous brain state changes leading to recovery, shown by increasing muscle activity and a significant rise in PSI values. SEF95 values also increased to beta-band (16.0 Hz) and low gamma-band (26.3 Hz) frequencies, indicating regained consciousness. Additionally, significant changes in the red areas of the spectrogram indicate higher frequency and lower amplitude of EEG power and muscle activity, suggesting greater awareness. The raw EEG, EEG indices, and spectrogram in both (<b>A</b>,<b>B</b>) collectively provided valuable clues to indicate real-time changes in anesthesia depth, guiding clinicians in managing isoflurane anesthesia.</p>
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25 pages, 17208 KiB  
Article
Simulation-Based Optimization Workflow of CO2-EOR for Hydraulic Fractured Wells in Wolfcamp A Formation
by Dung Bui, Duc Pham, Son Nguyen and Kien Nguyen
Fuels 2024, 5(4), 673-697; https://doi.org/10.3390/fuels5040037 - 18 Oct 2024
Viewed by 444
Abstract
Hydraulic fracturing has enabled production from unconventional reservoirs in the U.S., but production rates often decline sharply, limiting recovery factors to under 10%. This study proposes an optimization workflow for the CO2 huff-n-puff process for multistage-fractured horizontal wells in the Wolfcamp A [...] Read more.
Hydraulic fracturing has enabled production from unconventional reservoirs in the U.S., but production rates often decline sharply, limiting recovery factors to under 10%. This study proposes an optimization workflow for the CO2 huff-n-puff process for multistage-fractured horizontal wells in the Wolfcamp A formation in the Delaware Basin. The potential for enhanced oil recovery and CO2 sequestration simultaneously was addressed using a coupled geomechanics–reservoir simulation. Geomechanical properties were derived from a 1D mechanical earth model and integrated into reservoir simulation to replicate hydraulic fracture geometries. The fracture model was validated using a robust production history matching. A fluid phase behavior analysis refined the equation of state, and 1D slim tube simulations determined a minimum miscibility pressure of 4300 psi for CO2 injection. After the primary production phase, various CO2 injection rates were tested from 1 to 25 MMSCFD/well, resulting in incremental oil recovery ranging from 6.3% to 69.3%. Different injection, soaking and production cycles were analyzed to determine the ideal operating condition. The optimal scenario improved cumulative oil recovery by 68.8% while keeping the highest CO2 storage efficiency. The simulation approach proposed by this study provides a comprehensive and systematic workflow for evaluating and optimizing CO2 huff-n-puff in hydraulically fractured wells, enhancing the recovery factor of unconventional reservoirs. Full article
(This article belongs to the Special Issue Feature Papers in Fuels)
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<p>Generalized flow diagram for iterative coupling [<a href="#B33-fuels-05-00037" class="html-bibr">33</a>].</p>
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<p>Modified Barton–Bandis fracture permeability model [<a href="#B30-fuels-05-00037" class="html-bibr">30</a>,<a href="#B34-fuels-05-00037" class="html-bibr">34</a>].</p>
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<p>Iterative history matching process for fracture model’s validation.</p>
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<p>Schematic stratigraphy of Wolfcamp formation [<a href="#B41-fuels-05-00037" class="html-bibr">41</a>].</p>
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<p>Lithological characteristic of the Wolfcamp A formation.</p>
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<p>Petrophysical interpretation of Wolfcamp A formation in the offset wells.</p>
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<p>1D geomechanical model for the Wolfcamp A formation.</p>
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<p>Statistics of rock properties and strength in the Wolfcamp A formation.</p>
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<p>Illustration of stress shadowing effects.</p>
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<p>Fracture geometry of Well #1 and Well #2.</p>
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<p>(<b>a</b>) History matching oil rate Well #1; (<b>b</b>) history matching oil rate Well #2.</p>
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<p>(<b>a</b>) History matching gas rate Well #1; (<b>b</b>) history matching gas rate Well #2.</p>
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<p>(<b>a</b>) History matching water rate Well #1; (<b>b</b>) history matching water rate Well #2.</p>
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<p>History matching oil cumulative and oil rate of entire field.</p>
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<p>Slim-tube simulation result for MMP.</p>
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<p>Cell-to-cell simulation result for MMP.</p>
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<p>(<b>a</b>) Cumulative oil production of Well #1 associated with 1 MMscf/d CO<sub>2</sub> injection; (<b>b</b>) cumulative oil production of Well #2 associated with 1 MMscf/d CO<sub>2</sub> injection.</p>
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<p>Cumulative oil production corresponding with different CO<sub>2</sub> injection rates.</p>
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<p>CO<sub>2</sub> storage mass corresponding with various CO<sub>2</sub> injection rates.</p>
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<p>(<b>a</b>) CO<sub>2</sub> mole fraction in fracture network with 1 MMscf/d injection rate; (<b>b</b>) CO<sub>2</sub> mole fraction in fracture network with 20 MMscf/d injection rate.</p>
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<p>(<b>a</b>) Pressure distribution after 10 years with 1 MMscf/d of CO<sub>2</sub> injection; (<b>b</b>) pressure histogram at the end of CO<sub>2</sub> huff-n-puff simulation.</p>
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<p>(<b>a</b>) Pressure distribution after 10 years with 20 MMscf/d of CO<sub>2</sub> injection; (<b>b</b>) pressure histogram at the end of CO<sub>2</sub> huff-n-puff simulation.</p>
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10 pages, 7325 KiB  
Technical Note
The Panflute Technique: Novel 3D-Printed Patient Specific Instrumentation to Guide Curved Intra-Articular Osteotomies for Tibial Plateau Malunions
by Nick Assink, Cornelia W. Binnekamp, Hugo C. van der Veen, Job N. Doornberg, Frank F. A. IJpma and Peter A. J. Pijpker
J. Clin. Med. 2024, 13(20), 6175; https://doi.org/10.3390/jcm13206175 - 17 Oct 2024
Viewed by 515
Abstract
Background/Objectives: 3D patient-specific corrective osteotomies are optimized for use with oscillating saws, thereby rendering it incapable of executing curved osteotomies. The aim of this technical note is to introduce and evaluate the Panflute technique, which facilitates curved osteotomies with precise depth control [...] Read more.
Background/Objectives: 3D patient-specific corrective osteotomies are optimized for use with oscillating saws, thereby rendering it incapable of executing curved osteotomies. The aim of this technical note is to introduce and evaluate the Panflute technique, which facilitates curved osteotomies with precise depth control for intra-articular corrective osteotomies in posttraumatic tibial plateau malunions. Methods: A 33-year-old male patient with an intra-articular malunion was treated one year after index surgery of a lateral split-depression tibial plateau fracture with the Panflute technique. The guide design allowed for multiple drill trajectories in a curved path, recreating the original fracture lines. Cylindrical drill tubes in the guide were tailored to match bone trajectory length. This resulted in a patient-specific Panflute-like design enabling precise depth control, safeguarding posterior neurovascular structures. Secondly, the recreated fragment was reduced with a reduction guide, applied to the plate in situ, to facilitate reposition using the plate as tool and reference. Results: The procedure went without technical drawbacks or surgical complications. Postoperative assessment showed that repositioning of the osteotomized articular fragment was performed accurately: pre- to postoperative translational corrections were 5.4 to 0.5 mm posterior displacement for AP deformity (x-axis); 2.9 to 1.0 mm lateral to medial reduction (y-axis); and 5.9 to 0.6 mm cranial-caudal correction (z-axis). Clinically, at 3 months, the fracture united, the patient regained full flexion, and valgus defect-laxity resolved. Conclusions: The presented Panflute-osteotomy guide allows for a pre-planned curved osteotomy. Additionally, for every drill trajectory, the depth could be controlled. The proposed method may expand our surgical armamentarium of patient-specific 3D techniques and solutions for complex intra-articular osteotomies. Full article
(This article belongs to the Section Orthopedics)
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Figure 1
<p>Anteroposterior and lateral radiograph of the initial tibial plateau fracture (<b>a</b>,<b>b</b>) and of the situation 1-year postoperative (<b>c</b>,<b>d</b>).</p>
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<p>Process of 3D virtual surgical planning. (<b>a</b>) 3D reconstruction of the affected bone is created from the CT scan. (<b>b</b>) The contralateral unaffected side (orange) is mirrored and aligned to serve as a template for reduction. (<b>c</b>) The osteotomy cut (red) consisted of several drill trajectories and was planned to cut the malpositioned fragment. (<b>d</b>) The malpositioned fragment is virtually reduced to its anatomical position. (<b>e</b>) The new position is verified with the matching of the mirrored contralateral side.</p>
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<p>The ‘Panflute guide’ in anterior (<b>a</b>) and cross-sectional view (<b>b</b>). Tailoring the cylindrical drill tube to match the bone trajectory length for each hole creates a Panflute-like design that enables precise depth control and safeguards posterior vascular structures.</p>
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<p>3D-assisted surgery: The Panflute osteotomy guide (red) was positioned on top of the in situ plate and kept in position with K-wires, which later serves as a reference for the intermediate (yellow) and reposition (green) guide at a later stage of the procedure. After satisfactory positioning, a 1.8 mm drill was used through the different holes in the Panflute guide to create the osteotomy plane (<b>a</b>); after all trajectories were drilled, the guide and implant were removed, and the bone fragment—that needs to be reduced—was separated from the rest of the proximal tibia with an osteotome (<b>b</b>); the osteotomy was followed by predrilling the distal holes for the screws of the new plate using the intermediate guide (<b>c</b>); then the new plate was fixated on the osteotomized fragment using the old proximal screw holes (<b>d</b>); the reposition guide, which fitted on top of the new implant, was then used to steer the fragment to the planned position relative to the bone, after which the plate was fixated on the shaft (<b>e</b>); after fixation of the plate, the reposition guide was removed, and the wound was closed (<b>f</b>).</p>
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<p>Per-operative usage of the different surgical guides: Panflute guide (<b>left</b>), intermediate guide (<b>middle</b>), and reposition guide (<b>right</b>).</p>
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<p>Postoperative anteroposterior (<b>a</b>) and lateral radiographs (<b>b</b>) at 3 months follow-up demonstrating improved alignment and progressive consolidation.</p>
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<p>Preoperative (purple), planned (yellow), and postoperative (green) position of the reduced fragment. 3D assessment is performed to assess the fragment position before and after surgery as compared to the planned outcome. Difference is assessed in terms of translation (Δx, Δy, Δz) and rotation (Δζ, Δθ, Δφ) in three axes.</p>
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