Search Results (11,189)

Starting from a symmetrical multiple-choice individual, I build a sociophysics model of decision-making. Reducing the choices to two and interactions to pairs recovers the Ising model from physics at zero temperature. The associated equilibrium state results from a spontaneous symmetry breaking, with the whole group sharing a unique choice, which is selected at random. However, my focus departs from physics, which aims at identifying the true equilibrium state, discarding any possible impact of the initial conditions, the size of the sample, and the update algorithm used. Memory of past history is erased. In contrast, I claim that dealing with a social system, the history of the system must be taken into account in identifying the relevant social equilibrium state, which is always biased by its history. Accordingly, using Monte Carlo simulations, I explore the spectrum of non-universal equilibrium states of the Ising model at zero temperature. In particular, I show that different initial conditions with the same value of the order parameter lead to different equilibrium states. The same applies for different sizes and different update algorithms. The results indicate that in the presence of a social network composed of agents sharing different initial opinions, it is their interactions that lead them to share a unique choice and not their mere membership in the network. This finding sheds a new light on the emergence of echo chambers, which appear to be the end of a dynamical process of opinion update and not its beginning with a preferential attachment. Furthermore, polarization is obtained as a side effect of the random selection of the respective unanimous choices of the various echo chambers within a social community. The study points to social media exchange algorithms, which are purely technical levers independent of the issue and opinions at stake, to tackle polarization by either hindering or accelerating the completion of symmetry breaking between agents. Full article

Background: Recent studies have suggested an increased risk of acute myocardial infarction (AMI) following daylight saving time (DST) transitions in cohorts of American and European patients. We aim to validate this finding in a Canadian population. Methods: We performed a retrospective cohort study of patients admitted to the Hôpital du Sacré-Coeur de Montréal with a diagnosis of AMI requiring a coronary angiogram from 28 February 2016 to 3 December 2022. The transition period was defined as two weeks following DST, while the control periods were two weeks before and two weeks after the transition period. Patients aged 18 years or older were included. The primary endpoint was the incidence rate ratio (IRR) of AMI following DST transitions while the secondary endpoint was infarct size by biomarkers. A subgroup analysis compared the pre-COVID-19 period (2016–2019) to the post-COVID-19 period (2020–2022). Results: A total of 1058 patients were included (362 in the transition group and 696 in the control group). The baseline clinical characteristics were comparable between both groups. The rate of AMI per day following the DST transitions was 1.85 compared to 1.78 during control periods. The DST transitions were not associated with an increase in AMI (IRR = 1.04, 95% CI 0.91–1.18, p = 0.56) nor with infarct size. In the subgroup analysis, DST was associated with a significant increase in the incidence of AMI only in the pre-COVID-19 period, with a rate of 2.04 AMI per day in the transition group compared to 1.71 in the control group (IRR = 1.19, 95% CI 1.01–1.41, p = 0.041). In contrast, there was a significant increase in the size of AMI following DST in the post-COVID-19 period subgroup, with a creatine phosphokinase-MB (CK-MB) concentration of 137 ± 229 µg/L compared to 93 ± 142 µg/L (p = 0.013). Conclusions: In this Canadian cohort, there was a significant increase in the incidence of AMI in the pre-COVID-19 period, and infarct sizes were significantly larger following the DST transitions in the post-COVID-19 period. No significant associations emerged when pre- and post-COVID-19 periods were pooled. Full article

To enhance the preservation of strawberries, a novel coating formulation was developed using chitosan (CH) and iron oxide (IO) nanoparticles (NPs) supplemented with ginger and garlic extracts and combined with varying concentrations of 1%, 2%, and 3% Fe₃O₄ NPs. The results of XRD revealed an average crystalline size of 48.1 nm for Fe₃O₄ NPs. SEM images identified Fe₃O₄ NPs as bright spots on the surface of the fruit, while FTIR confirmed their presence by detecting specific functional groups. Additional SEM analysis revealed clear visibility of CH coatings on the strawberries. Both uncoated and coated strawberry samples were stored at room temperature (27 °C), and quality parameters were systematically assessed, including weight loss, firmness, pH, titratable acidity (TA), total soluble solids (TSSs), ascorbic acid content, antioxidant activity, total reducing sugars (TRSs), total phenolic compounds (TPCs), and infection rates. The obtained weight loss was 21.6% and 6% for 1.5% CH and 3% IO with 1.5% CH, whereas the obtained infection percentage was 19.65% and 13.68% for 1.5% CH and 3% IO with 1.5% CH. As strawberries are citric fruit, 3% IO with 1.5% CH contains 55.81 mg/100 g ascorbic acid. The antioxidant activity for 1.5% CH coated was around 73.89%, whereas 3% IO with 1.5% CH showed 82.89%. The studies revealed that coated samples showed better results, whereas CH that incorporates Fe₃O₄ NP coatings appears very promising for extending the shelf life of strawberries, preserving their quality and nutritional value during storage and transportation. Full article

Background: The use of salivary biomarkers offers a non-invasive approach to understanding the metabolic and inflammatory status of hypertensive patients. This study aimed to quantify the salivary nitric oxide (NO), total cholesterol, triglycerides, high-density lipoproteins (HDL), and low-density lipoproteins (LDL) levels in hypertensive individuals and healthy controls in a sub-population in Saudi Arabia. Methods: This cross-sectional study comprised 40 hypertensive patients (test group, 40–50 years old) and 40 age-matched healthy controls who visited the dental hospital in the College of Dentistry, King Khalid University, for dental treatment. Nitric oxide, total cholesterol, triglycerides, HDL, and LDL levels in saliva were assessed. An independent sample t-test was used to compare the results between the hypertensive and control groups. Results: The mean triglyceride and cholesterol levels in the test group were significantly higher (p < 0.05) than those in the control group. Alternatively, the NO level in the test group was significantly (p = 0.014) lower than that in the controls. The triglyceride level was significantly correlated with age in the test group (p = 0.04). Conclusions: This study demonstrated significant differences in the nitrate levels and lipid profiles between hypertensive patients and healthy individuals in a sub-population in Saudi Arabia. The findings indicate that saliva can be used as a non-invasive diagnostic tool for assessing nitrate levels and the lipid profile. However, additional studies with larger sample sizes and more precise testing parameters are required to validate the findings. Full article

Objectives: This study aimed to (1) investigate whether dental anxiety (DA) and oral health-related quality of life (OHRQoL) differed between patients diagnosed with periodontitis and individuals with periodontal health, (2) examine associations and correlations between these patient-reported measures, and (3) analyze demographic and clinical parameters. Methods: Ninety-six patients diagnosed with periodontitis and age- and sex-matched periodontally healthy controls were included. Participants’ demographic characteristics, smoking status, current dental pain, dental pain during the last month, the Modified Corah’s Scale (MDAS), and the Oral Health Impact Profile (OHIP-14) were determined. Results: The mean age of participants was 48.51 years ± 11.41. Patients with periodontitis experienced higher pain in the last month compared to controls (p = 0.003). Patients with periodontitis exhibited significantly higher MDAS total and sub-scores (p < 0.001). Compared to controls, the periodontitis group indicated extreme DA (1.04% vs. 7.79%, p = 0.034). Patients with periodontitis feared having a foreign object in the mouth compared to controls (p = 0.004). The periodontitis group exhibited worse OHIP-14 global and sub-scores (all Ps < 0.001). Positive associations and correlations of MDAS total and sub-scores with OHIP-14 global and domain scores were found for the periodontitis group, but not for controls. Patients with periodontitis who reported “moderate and extreme anxiety” had poorer OHRQoL compared to controls (p = 0.001). The minimal importance difference for this finding indicates a large effect size and a moderate standardized response mean between groups. Conclusions: Patients with periodontitis had higher levels of DA and worse OHRQoL compared to controls. Our study highlights the importance of providing a comprehensive approach, including psychosocial well-being, when diagnosing and treating periodontal disease. Full article

Mixed-species groups have been recorded in various primates, including tufted capuchin and squirrel monkeys. Measures of their ‘groupness’ are typically based on factors such as group stability, social interactions, proximity, or behavioural coordination. Social network analysis has become a useful tool for quantifying relationships among group-living individuals. Here, we apply social network analysis to two captive mixed-species groups of tufted capuchins and squirrel monkeys housed at the Living Links to Human Evolution Research Centre, Royal Zoological Society of Scotland, Edinburgh Zoo, UK. We conducted 183 h of focal observations (three hours per individual, excluding co-observations) and calculated association rates using a simple index ratio. Permutation t-tests were used to assess differences in the overall mixed-species network and network metrics according to species. While the two species exhibited some level of association, they formed separate clusters in the mixed-species networks; however, the East group had more balanced group sizes and showed some signs of closer inter-specific social ties compared to the West group. Our data indicate that, in captivity at least, while these groups co-exist in a small, shared space, they do not form cohesive mixed-species groups. We suggest caution in the assumption of mixed-species groups based on shared space only. Full article

Nanotechnological methods for creating multifunctional fabrics are attracting global interest. The incorporation of nanoparticles in the field of textiles enables the creation of multifunctional textiles exhibiting UV irradiation protection, antimicrobial properties, self-cleaning properties and photocatalytic. Nanomaterials-loaded textiles have many innovative applications in pharmaceuticals, sports, military the textile industry etc. This study details the biosynthesis and characterization of silver nanoparticles (AgNPs) using the aqueous mycelial-free filtrate of Aspergillus flavus. The formation of AgNPs was indicated by a brown color in the extracellular filtrate and confirmed by UV-Vis spectroscopy with a peak at 426 nm. The Box-Behnken design (BBD) is used to optimize the physicochemical parameters affecting AgNPs biosynthesis. The desirability function was employed to theoretically predict the optimal conditions for the biosynthesis of AgNPs, which were subsequently experimentally validated. Through the desirability function, the optimal conditions for the maximum predicted value for the biosynthesized AgNPs (235.72 µg/mL) have been identified as follows: incubation time (58.12 h), initial pH (7.99), AgNO₃ concentration (4.84 mM/mL), and temperature (34.84 °C). Under these conditions, the highest experimental value of AgNPs biosynthesis was 247.53 µg/mL. Model validation confirmed the great accuracy of the model predictions. Scanning electron microscopy (SEM) revealed spherical AgNPs measuring 8.93–19.11 nm, which was confirmed by transmission electron microscopy (TEM). Zeta potential analysis indicated a positive surface charge (+1.69 mV), implying good stability. X-ray diffraction (XRD) confirmed the crystalline nature, while energy-dispersive X-ray spectroscopy (EDX) verified elemental silver (49.61%). Scanning electron microscopy (SEM) revealed uniformly sized spherical AgNPs. Transmission electron microscopy (TEM) revealed spherical particles measuring 8.93–19.11 nm. EDX spectrum revealed that silver is the dominant element in the AgNPs. The Zeta potential measurement revealed a positive surface charge (+1.69 mV). X-ray diffraction (XRD) confirmed the crystalline character. FTIR findings indicate the presence of phenols, proteins, alkanes, alkenes, aliphatic and aromatic amines, and alkyl groups which play significant roles in the reduction, capping, and stabilization of AgNPs. Cotton fabrics embedded with AgNPs biosynthesized using the aqueous mycelial-free filtrate of Aspergillus flavus showed strong antimicrobial activity. The disc diffusion method revealed inhibition zones of 15, 12, and 17 mm against E. coli (Gram-negative), S. aureus (Gram-positive), and C. albicans (yeast), respectively. These fabrics have potential applications in protective clothing, packaging, and medical care. In silico modeling suggested that the predicted compound derived from AgNPs on cotton fabric could inhibit Penicillin-binding proteins (PBPs) and Lanosterol 14-alpha-demethylase (L-14α-DM), with binding energies of −4.7 and −5.2 Kcal/mol, respectively. Pharmacokinetic analysis and sensitizer prediction indicated that this compound merits further investigation. Full article

Background: The aim of this systematic review is to analyze the effects of Square Stepping Exercise (SSE) on physical and cognitive function in older people, including its effects on biomarkers, body composition and mental health, focusing only on research that assessed the efficacy of SSE-based interventions. Methods: PubMed, Web of Science, Scopus and Cochrane databases were searched from June 2006 to June 2024 according to the PRISMA guidelines. The main search terms used were related to “older people” and “square-stepping exercise”. Controlled trials that included at least one intervention group focused on SSE were included. Participants had to be healthy, without physical or cognitive impairment, and the studies published in English or Spanish. The methodological quality of the selected research was assessed using the Physiotherapy Evidence Database (PEDro). Results: Twelve studies were selected from a total of 444 original records, with a total sample size of 577 participants. The health parameters of the participants were homogeneous, with ages ranging from 60 to 80 years. Significant gains were reported in certain physical function assessments, including balance, lower body strength and power, gait speed and flexibility. There were also significant findings in cognitive function, particularly in general cognitive status, focused attention, response time, basic task performance, and executive function. In addition, SSE can improve metrics such as body composition, brain-derived neurotrophic factor (BDNF), and mental health characteristics. Conclusions: SSE has the potential to significantly improve physical function, cognitive performance and body composition, as well as provide mental health benefits and have variable effects on biomarkers and cardiovascular health. Full article

The attractor complexity index (ACI) is a recently developed gait analysis tool based on nonlinear dynamics. This study assesses ACI’s sensitivity to attentional demands in gait control and its potential for characterizing age-related changes in gait patterns. Furthermore, we compare ACI with classical gait metrics to determine its efficacy relative to established methods. A 4 × 200 m indoor walking test with a triaxial accelerometer attached to the lower back was used to compare gait patterns of younger (N = 42) and older adults (N = 60) during normal and metronome walking. The other linear and non-linear gait metrics were movement intensity, gait regularity, local dynamic stability (maximal Lyapunov exponents), and scaling exponent (detrended fluctuation analysis). In contrast to other gait metrics, ACI demonstrated a specific sensitivity to metronome walking, with both young and old participants exhibiting altered stride interval correlations. Furthermore, there was a significant difference between the young and old groups (standardized effect size: −0.77). Additionally, older participants exhibited slower walking speeds, a reduced movement intensity, and a lower gait regularity. The ACI is likely a sensitive marker for attentional load and can effectively discriminate age-related changes in gait patterns. Its ease of measurement makes it a promising tool for gait analysis in unsupervised (free-living) conditions. Full article

This study facilitates the extraction of foveal avascular zone (FAZ) metrics from optical coherence tomography angiography (OCTA) images, offering valuable clinical insights and enabling detailed statistical analysis of FAZ size and shape across three patient groups: healthy, type II diabetes mellitus and both type II diabetes mellitus (DM) and high blood pressure (HBP). Additionally, it evaluates the performance of four deep learning (DL) models—U-Net, U-Net with DenseNet121, U-Net with MobileNetV2 and U-Net with VGG16—in automating the segmentation of the FAZ. Manual segmentation of the images by ophthalmological clinicians was performed initially, and data augmentation was used to enhance the dataset for robust model training and evaluation. Consequently, the original set of 103 full retina OCTA images was extended to 672 cases, including 42 images from normal patients, 357 images from DM patients, and 273 images from patients with both DM and HBP. Among the models, U-Net with DenseNet outperformed the others, achieving the highest accuracy, Intersection over Union (IoU), and Dice coefficient across all patient groups. This research is distinct in its focus on full retina OCTA images and its inclusion of patients with both hypertension and diabetes, an area that is less studied in the existing literature. Full article

Ongoing warming in the Arctic has led to significant sea-ice loss and alterations in primary production, affecting all components of the marine food web. The considerable spatial variability of near-bottom environments around the Svalbard Archipelago renders the local fjords promising sites for revealing responses of benthic organisms to different environmental conditions. We investigated spatial variations in abundance, biomass, and growth parameters of the common bivalve Macoma calcarea in waters off western Spitsbergen and identified two distinct groups of this species: one composed mainly of cold-water stations from Storfjorden (Group I) and the other comprising warmer-water stations from Grønfjorden and Coles Bay (Group II). Within these groups, the mean abundance, biomass, production, and mortality accounted for 0.2 and 429 ind. m⁻², 20 and 179 g m⁻², 18.5 and 314 g m⁻² year⁻¹, and 0.22 and 0.10 year⁻¹ respectively. The size–frequency and age–frequency distributions were biased towards smaller and younger specimens in Group I, while Group II displayed more even distributions. The maximum ages were 11 and 21 years, respectively. The mollusks from cold water were significantly smaller than their same-aged counterparts from warmer water. Two groups of Macoma were identified: slow-growing individuals with a rate of 1.4 mm and fast-growing individuals with a growth rate of 1.8 mm. Most population parameters were higher than those observed in the Pechora, Kara, and Greenland Seas. Redundancy analysis indicated water temperature as the main driving factor of abundance and biomass, while the latter was also influenced by the presence of pebbles. Our findings provide new insights into the growth patterns and spatial distribution of Macoma at high latitudes and confirm that this species can serve as a reliable indicator of environmental conditions. Full article

Background/Objectives: Cage implantation decompresses neural elements, stabilizes segments, and promotes fusion, with sagittal balance influenced by cage size, geometry, and position. This retrospective study compared the effects of lumbar interbody cages with 10° and 15° lordotic angles on global and segmental lordosis in patients undergoing transforaminal lumbar interbody fusion (TLIF). Methods: Data from 215 patients who underwent 259 TLIF procedures between 2018 and 2022 were analyzed. All the surgeries were performed by a single senior orthopedic spine surgeon, and cages were selected by the surgeon based on patients’ clinical and anatomical factors. Radiographic assessments included measurements of global and segmental lordosis. Results: Patients who received 15° cages demonstrated significantly greater segmental lordosis compared to those who received 10° cages in both bisegmental and monosegmental procedures (p < 0.001). While the global lordosis in the 10°-cage group remained unchanged postoperatively (p = 0.687), bisegmental procedures showed a small but statistically significant increase (p = 0.035). Moreover, global lordosis did not significantly differ between the 10°- and 15°-cage groups. Conclusions: Cage geometry significantly influenced segmental lordosis, with 15° cages achieving overall more superior radiographic results compared to 10° cages. However, global lordosis was unaffected by cage angle, thereby highlighting the multifaceted nature of factors that influence overall spinal alignment. These findings provide valuable insights into lumbar spine surgery, thus emphasizing the need for comprehensive preoperative planning and consideration of individual patient characteristics. Full article

There is an intense argument about the environmental impact of annual vs. perennial forage production systems. In this study, a systematic review was employed to obtain 47 empirical studies from 13 published papers between the years 2017–2023 to help clarify the issue. The objective of this study was to determine how perennial and annual forage (business-as-usual, BAU) production systems affect dry matter yield (DM) and energy of production including specific environmental impact variables. Impact variables were classified into three main groups: human health, ecosystem quality, and resource consumption. Net energy of lactation (NEL) was considered as a functional unit. Overall, perennial forage production systems varied less in DM yield and energy production than annual monocrop systems, indicating stability in perennial production. There was no statistically significant difference in human health and resource consumption variables between perennial and annual forage production systems, except for ozone layer depletion potential. However, perennial forage systems significantly lowered variables within the ecosystem quality category. Ecotoxicity potential decreased by two and 18 times compared with BAU—control (only annual monoculture forages), and BAU—improved (any annual cropping system other than BAU—control), respectively. Perennial forage systems showed a significant effect size of −8.16, which was slightly less than the effect size of the BAU—improved system but two times less than BAU—control in terms of terrestrial acidification potential. While BAU—control showed an insignificant effect size in relation to eutrophication potential (EUP), perennial forage systems reduced EUP by approximately five and two times compared with BAU—control and BAU—improved, respectively. Therefore, this study highlights the importance of promoting perennial forage production system to foster resilience and stability in DM yield and energy production, with improvements in environmental human health (ozone layer depletion potential) and ecosystem quality variables. Full article

Bacteriophages are viruses that have the potential to combat bacterial infections caused by antimicrobial-resistant bacterial strains. In this study, we investigated a novel lytic bacteriophage, vB_EcoS_JSSK01, isolated from sewage in Hualien, Taiwan, which effectively combats multidrug-resistant (MDR) Escherichia coli of the K1 capsular type. K1 E. coli is a major cause of severe extraintestinal infections, such as neonatal meningitis and urinary tract infections. Phage JSSK01 was found to have a genome size of 44,509 base pairs, producing approximately 123 particles per infected cell in 35 min, and was highly stable across a range of temperatures and pH. JSSK01 infected 59.3% of the MDR strains tested, and its depolymerase (ORF40) specifically degraded the K1 capsule in these bacteria. In a zebrafish model, JSSK01 treatment after infection significantly improved survival, with survival in the treated group reaching 100%, while that in the untreated group dropped to 10% after three days. The functional activity of depolymerase was validated using zone inhibition and agglutination tests. These results indicate that JSSK01 and its substrate-specific depolymerase have promising therapeutic and diagnostic applications against K1-encapsulated MDR E. coli infections. Full article

Global industry relies on a linear approach for economic growth. One step towards transformation is the implementation of a circular economy and the reclamation of anthropogenic deposits. This study examines two filter dusts, one German and one Argentinian, from the production of calcined clays, representing such deposits. Investigations and comparisons of untreated and calcined filter dust and the industrial base product pave the way for using waste product filter dust as supplementary cementitious material (SCM). In the future, some twenty thousand tons of contemporary waste could potentially be used annually as SCM. The results confirm the suitability of one material as a full-fledged SCM without further treatment and a measured pozzolanic reactivity on par with fly ash. Sample materials were classified into two groups: one was found to be a reactive pozzolanic material; the other was characterized as filler material with minor pozzolanic reactivity. Additionally, important insights into the physical properties of oven dust and heat-treated oven dust were obtained. For both material groups, an inversely proportional relationship with rising calcination temperatures was found for the specific surface area and water demand. The impact of the calcination temperature on both the particle size distribution and the potential to optimize the reactivity performance is presented. Full article