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24 pages, 7109 KiB  
Article
Experimental Study on Proportion Optimization of Rock-like Materials Based on Genetic Algorithm Inversion
by Hui Su, Shaoxing Liu, Baowen Hu, Bowen Nan, Xin Zhang, Xiaoqing Han and Xiao Zhang
Materials 2024, 17(19), 4940; https://doi.org/10.3390/ma17194940 (registering DOI) - 9 Oct 2024
Abstract
It is very important to clarify the optimization method of the rock-like material ratio for accurately characterizing mechanical properties similar to the original rock. In order to explore the optimal ratio of rock-like materials in gneissic granite, the water–paste ratio, iron powder content [...] Read more.
It is very important to clarify the optimization method of the rock-like material ratio for accurately characterizing mechanical properties similar to the original rock. In order to explore the optimal ratio of rock-like materials in gneissic granite, the water–paste ratio, iron powder content and coarse sand content were selected as the influencing factors of the ratio. An orthogonal test design and sensitivity analysis of variance were used to obtain the significant influencing factors of the ratio factors on seven macroscopic mechanical parameters, including compressive strength σc, tensile strength σt, shear strength τf, elastic modulus E, Poisson’s ratio ν, internal friction angle φ and cohesion c. A multivariate linear regression equation was constructed to obtain the quantitative relationship between the significant ratio factors and the macroscopic mechanical parameters. Finally, a rock-like material ratio optimization program based on genetic algorithm inversion was written. The results show that the water–paste ratio had extremely significant effects on σc, σt, τf, E, ν and c. The iron powder content had a highly significant effect on σc, σt, τf and c, and it had a significant effect on ν and φ. Coarse sand content had a significant effect on σc, E and c. The multiple linear regression model has good reliability after testing, which can provide theoretical support for predicting the macroscopic mechanical parameters of rock-like materials to a certain extent. After testing, the ratio optimization program works well. When the water–paste ratio is 0.5325, the iron powder content is 3.975% and the coarse sand content is 15.967%, it is the optimal ratio of rock-like materials. Full article
(This article belongs to the Section Materials Simulation and Design)
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20 pages, 2510 KiB  
Article
Anxiety among Medical Students Regarding Generative Artificial Intelligence Models: A Pilot Descriptive Study
by Malik Sallam, Kholoud Al-Mahzoum, Yousef Meteb Almutairi, Omar Alaqeel, Anan Abu Salami, Zaid Elhab Almutairi, Alhur Najem Alsarraf and Muna Barakat
Int. Med. Educ. 2024, 3(4), 406-425; https://doi.org/10.3390/ime3040031 - 9 Oct 2024
Abstract
Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns [...] Read more.
Despite the potential benefits of generative artificial intelligence (genAI), concerns about its psychological impact on medical students, especially about job displacement, are apparent. This pilot study, conducted in Jordan during July–August 2024, aimed to examine the specific fears, anxieties, mistrust, and ethical concerns medical students harbor towards genAI. Using a cross-sectional survey design, data were collected from 164 medical students studying in Jordan across various academic years, employing a structured self-administered questionnaire with an internally consistent FAME scale—representing Fear, Anxiety, Mistrust, and Ethics—comprising 12 items, with 3 items for each construct. Exploratory and confirmatory factors analyses were conducted to assess the construct validity of the FAME scale. The results indicated variable levels of anxiety towards genAI among the participating medical students: 34.1% reported no anxiety about genAI‘s role in their future careers (n = 56), while 41.5% were slightly anxious (n = 61), 22.0% were somewhat anxious (n = 36), and 2.4% were extremely anxious (n = 4). Among the FAME constructs, Mistrust was the most agreed upon (mean: 12.35 ± 2.78), followed by the Ethics construct (mean: 10.86 ± 2.90), Fear (mean: 9.49 ± 3.53), and Anxiety (mean: 8.91 ± 3.68). Their sex, academic level, and Grade Point Average (GPA) did not significantly affect the students’ perceptions of genAI. However, there was a notable direct association between the students’ general anxiety about genAI and elevated scores on the Fear, Anxiety, and Ethics constructs of the FAME scale. Prior exposure to genAI and its previous use did not significantly modify the scores on the FAME scale. These findings highlight the critical need for refined educational strategies to address the integration of genAI into medical training. The results demonstrate notable anxiety, fear, mistrust, and ethical concerns among medical students regarding the deployment of genAI in healthcare, indicating the necessity of curriculum modifications that focus specifically on these areas. Interventions should be tailored to increase familiarity and competency with genAI, which would alleviate apprehensions and equip future physicians to engage with this inevitable technology effectively. This study also highlights the importance of incorporating ethical discussions into medical courses to address mistrust and concerns about the human-centered aspects of genAI. In conclusion, this study calls for the proactive evolution of medical education to prepare students for new AI-driven healthcare practices to ensure that physicians are well prepared, confident, and ethically informed in their professional interactions with genAI technologies. Full article
(This article belongs to the Special Issue New Advancements in Medical Education)
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12 pages, 4591 KiB  
Article
Assessing the Corrosive Effects of Unmelted Particles in Additively Manufactured Ti6Al4V: A Study in Simulated Body Fluid
by Surinder Pal, Xavier Velay and Waqas Saleem
Alloys 2024, 3(4), 257-268; https://doi.org/10.3390/alloys3040015 - 9 Oct 2024
Abstract
This study investigates the corrosion behavior of Grade 23 Ti6Al4V alloys produced through laser powder bed fusion (L-PBF) when exposed to simulated body fluid at room temperature, focusing on the role of unmelted particles. This research aims to understand how these microstructural features, [...] Read more.
This study investigates the corrosion behavior of Grade 23 Ti6Al4V alloys produced through laser powder bed fusion (L-PBF) when exposed to simulated body fluid at room temperature, focusing on the role of unmelted particles. This research aims to understand how these microstructural features, resulting from the additive manufacturing process, influence the corrosion resistance of the alloys. It was observed that unmelted particles serve as critical sites for initiating localized corrosion, including pitting, which significantly compromises the material’s overall durability. Electrochemical testing and detailed surface analysis revealed that these particles, alongside other defects such as voids, exacerbate the susceptibility to corrosion in biomedical environments where high material reliability is paramount. Weight loss measurements conducted over exposure periods of 48 h, 96 h, and 144 h demonstrated a progressive increase in corrosion, correlating with the presence of unmelted particles. These findings underscore the importance of optimizing L-PBF processing parameters to minimize the formation of unmelted particles, thereby enhancing corrosion resistance and extending the operational lifespan of Ti6Al4V implants in biomedical applications. Full article
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10 pages, 411 KiB  
Article
Evidence-Based Recommendations for Effective Enrichment to Improve the Welfare of Caged Hens Used for Research and Teaching Purposes
by Amy F. Moss, Rebel Northey, Sukirno, Aamir Nawab, Nasima Akter, Peta S. Taylor and Hiep Thi Dao
Poultry 2024, 3(4), 354-363; https://doi.org/10.3390/poultry3040027 - 9 Oct 2024
Abstract
Currently, there are no guidelines on housing or recommendations for practical environmental enrichments for chickens used for research and teaching purposes. This study was conducted to identify optimal enrichment programs to improve the health and welfare of caged hens used for teaching and [...] Read more.
Currently, there are no guidelines on housing or recommendations for practical environmental enrichments for chickens used for research and teaching purposes. This study was conducted to identify optimal enrichment programs to improve the health and welfare of caged hens used for teaching and research purposes. The 24-week-old Hy-line Brown laying hens (n = 168) were allocated at random to six enrichment programs/treatments with 14 replicate cages of two birds per cage during a 5-week experiment. Hens had physical access to the following treatments: no enrichment provided (control); round, wooden perches provided (perch); scratch pads made of wood and covered with sandpaper provided (scratch pad); hanging CDs provided (hanging CD); all three enrichment forms provided (complex environment); and each enrichment form provided on a 2-week rotation (novelty). While the egg quality was consistent, the complex group had a significantly lower feed intake (p < 0.001) but similar egg mass; thus, they also had a lower feed conversion ratio (p < 0.001). Additionally, hens in the complex treatment group had the leanest average body weight at week 5 (p < 0.01). It should be noted that while some measures of welfare did show significant differences, the biological or practical difference may be negligible, as in the case of the body condition score in this study. The results show that providing three different forms of environmental enrichment had positive effects on the welfare, health condition, and laying performance of laying hens relative to no enrichment or only one enrichment item. Full article
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21 pages, 1988 KiB  
Article
Changes in Climatological Variables at Stations around Lake Erie and Lake Michigan
by Abhishek Kaul, Alex Paparas, Venkata K. Jandhyala and Stergios B. Fotopoulos
Meteorology 2024, 3(4), 333-353; https://doi.org/10.3390/meteorology3040017 - 9 Oct 2024
Abstract
Climatological variables undergo changes over time, and it is important to understand such dynamic changes at global, regional, and local levels. While global and regional studies are common in the study of climate, such studies at a local level are not as common. [...] Read more.
Climatological variables undergo changes over time, and it is important to understand such dynamic changes at global, regional, and local levels. While global and regional studies are common in the study of climate, such studies at a local level are not as common. The aim of this article is to study temporal changes in precipitation, snowfall, and temperature variables at specific stations located on the rims of Lake Erie and Lake Michigan. The identification of changes is carried out by applying change-point analysis to precipitation, snowfall, and temperature data from Buffalo, Erie, and Cleveland stations located on the rim of Lake Erie and at Chicago, Milwaukee, and Green Bay stations located on the rim of Lake Michigan. We adopt mainly the Bayesian information criterion (BIC) method to identify the number and locations of change points, and then we apply the generalized likelihood ratio statistic to test for the statistical significance of the identified change points. We follow this up by finding 95% confidence intervals for those change points that were found to be statistically significant. The results from the analysis show that there are significant changes in precipitation, snowfall, and temperature variables at all six rim stations. Changes in precipitation show consistently significant increases, whereas there is no similar consistency in snowfall increases. Temperature increases are generally quite sharp, and they occur consistently around 1985. Overall, upon combining the amounts of changes from all six stations, the average amount of change in annual average temperature is found to be 0.96 °C, the average percentage of change in precipitation is 16%, and the average percentage of change in snowfall is 17%. The changing local climatic conditions identified in the study are important for local city planners, as well as residents, so that they can be well prepared for changing climatic scenarios. Full article
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16 pages, 1710 KiB  
Article
Application of Pyroligneous Acid as a Plant Growth Stimulant Can Improve the Nutritional Value of Soybean Seed
by Randi Noel, Michael J. Schueller, James Guthrie and Richard A. Ferrieri
Crops 2024, 4(4), 447-462; https://doi.org/10.3390/crops4040032 - 9 Oct 2024
Abstract
Farmers today are using biochemical treatments to improve their crop yields. Commercialized organic biostimulants exist in the form of pyroligneous acid generated by burning agricultural waste products. During the 2023 growing season, we demonstrated that soil treatment with a commercial pyroligneous acid product, [...] Read more.
Farmers today are using biochemical treatments to improve their crop yields. Commercialized organic biostimulants exist in the form of pyroligneous acid generated by burning agricultural waste products. During the 2023 growing season, we demonstrated that soil treatment with a commercial pyroligneous acid product, Coriphol™, manufactured by Corigin Solutions, Inc., stimulated plant growth and significantly improved yield with an optimal treatment dose of 2 gal. acre−1. In the present work, we examined the effect of this treatment on soybean nutritional content using seed harvested from the 2023 season. Total mean seed protein content for untreated control plants was 32.26 ± 0.49% of dry mass and increased 10.8% to 35.64 ± 0.64% with treatment. This increase resulted in a net reduction in total free amino acid content, although levels of the essential dietary amino acid, lysine, were boosted 6-fold. Total lipid content was unaffected by treatment with mean levels of 21.61 ± 0.70% of dry mass noted. Treatment, however, reduced saturated fatty acid content by roughly 40%, and reduced the polyunsaturated content of linoleic acid in favor of the monounsaturated fatty acid, oleic acid. Finally, Coriphol™ treatment did not impact seed content of eight essential micronutrients including Na, Mg, K, Ca, Fe, Ni, Cu, and Mo, but did significantly boost Zn and Mn levels. Altogether, these results demonstrate that soil treatment with the growth stimulant Coriphol™ has the potential to improve the dietary nutritional value of soybean. Full article
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11 pages, 2334 KiB  
Article
Non-Invasive Muscle Metabolism Assessment with Near-Infrared Spectroscopy and Electrical Muscle Stimulation
by Riki Tanaka, Yutaka Shigemori and Tetsushi Moriguchi
BioMed 2024, 4(4), 419-429; https://doi.org/10.3390/biomed4040033 - 9 Oct 2024
Abstract
Background: Muscle biopsy, the gold standard for assessing muscle aerobic capacity, is an invasive procedure. Noninvasive alternatives, such as 31-phosphorus magnetic resonance spectroscopy (31P-MRS) and near-infrared spectroscopy (NIRS), provide valuable insights, with NIRS providing superior time resolution and ease of use [...] Read more.
Background: Muscle biopsy, the gold standard for assessing muscle aerobic capacity, is an invasive procedure. Noninvasive alternatives, such as 31-phosphorus magnetic resonance spectroscopy (31P-MRS) and near-infrared spectroscopy (NIRS), provide valuable insights, with NIRS providing superior time resolution and ease of use compared with 31P-MRS. Objectives: This study aimed to evaluate muscle metabolism using a 6 s muscle contraction phase with electrical muscle stimulation (EMS) and to assess the impact of EMS on exercise performance under hyperbaric conditions with elevated oxygen pressure. Methods: This study included nine male participants (21 ± 2 years) who underwent 5 min of EMS on the forearm flexor muscle group, with muscle oxygen dynamics assessed using NIRS. For statistical analysis, the mean values between groups were assessed using paired t-tests, and associations were evaluated using Pearson’s correlation coefficient. Results: Spontaneous blood flow interruption during EMS-induced muscle activity indicated the potential for assessing muscle metabolism without disrupting external blood flow. A significant negative correlation was observed between oxygen consumption and changes in oxygenated hemoglobin levels during muscle activity under hyperbaric conditions. Conclusions: This study demonstrates that skeletal muscle metabolism can be measured using a brief 6 s quantitative EMS. Furthermore, hyperbaric exercise appears to enhance aerobic capacity by increasing the rate and availability of oxygen consumption during exercise. Full article
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10 pages, 395 KiB  
Systematic Review
Demographic, Behavioural, and Biological Factors Seen in Men Who Have Sex with Men with Salmonella spp.: A Systematic Review
by Vidhushan Sivachandran, Natasha Wahab, Vaibhav Dubey, Daniel Richardson and Carrie Llewellyn
Venereology 2024, 3(4), 162-171; https://doi.org/10.3390/venereology3040013 - 9 Oct 2024
Abstract
Background: The sexual transmissibility of enteric pathogens, including Salmonella spp., has been described in men who have sex with men (MSM). However, the factors seen in MSM with Salmonella spp. are poorly understood. Method: We aimed to systematically review the literature to explore [...] Read more.
Background: The sexual transmissibility of enteric pathogens, including Salmonella spp., has been described in men who have sex with men (MSM). However, the factors seen in MSM with Salmonella spp. are poorly understood. Method: We aimed to systematically review the literature to explore any factors seen in MSM with Salmonella spp. (MSM). We searched six databases—Medline, PubMed, CINAHL, Embase, Emcare, and Global Health—in April 2024 for manuscripts which contained primary peer-reviewed data in English and the measurement of any risk factors observed in MSM with Salmonella spp. This review was registered on PROSPERO (CRD42023472864). Results: Eleven manuscripts were included in the final review and highlighted demographic (living with HIV), behavioural (oral–anal sex, receptive and penetrative anal sex, hand licking to stimulate their partner, group sex, non-condom use), and biological (co-infection with CMV, Mycobacterium avium complex, Strongyloides stercoralis, Blastocystis hominis, Klebsiella spp. Herpes simplex virus, Cytomegalovirus, Cryptosporidium, Histoplasmosis, Shigella spp.; previous infection with Treponema pallidum, Neisseria gonorhoeae, Chlamydia trachomatis and hepatitis B; and antimicrobial treatment failure) factors seen in MSM with Salmonella spp. Conclusion: Despite a limited number of manuscripts and individuals, this review highlighted some potential demographic, behavioural, and biological factors implicated in the transmission of Salmonella spp. in MSM. These data will provide insights for future guidelines, public health control strategies, and research. Full article
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11 pages, 7434 KiB  
Brief Report
The Tula Industrial Area Field Experiment: Quantitative Measurements of Formaldehyde, Sulfur Dioxide, and Nitrogen Dioxide Emissions Using Mobile Differential Optical Absorption Spectroscopy Instruments
by Claudia I. Rivera-Cárdenas and Thiare Arellano
Pollutants 2024, 4(4), 463-473; https://doi.org/10.3390/pollutants4040031 - 9 Oct 2024
Abstract
The Tula industrial area in Central Mexico comprises, among other industries, a refinery and a thermoelectric power plant. It is well known for its constant emissions of gases into the atmosphere and considered an important area where pollutants released into the atmosphere have [...] Read more.
The Tula industrial area in Central Mexico comprises, among other industries, a refinery and a thermoelectric power plant. It is well known for its constant emissions of gases into the atmosphere and considered an important area where pollutants released into the atmosphere have an influence on local and regional air quality. During March and April 2017, a field campaign was conducted with the objective of quantifying formaldehyde (HCHO), sulfur dioxide (SO2), and nitrogen dioxide (NO2) emissions from this industrial area using mobile differential optical absorption spectroscopy (DOAS) instruments. Calculated average emissions of the Francisco Perez Rios Power Plant and the Miguel Hidalgo Refinery were 3.14 ± 2.13 tons per day of HCHO, 362.08 ± 300.14 tons per day of SO2, and 24.76 ± 12.82 tons per day of NO2. From the measurements conducted, the spatial distribution patterns of SO2, NO2, and HCHO were reconstructed, showing a dispersion pattern of SO2 and NO2 towards the southwest of the industrial complex, impacting agricultural and urban areas. Occasionally, and usually during the morning hours, SO2 and NO2 were dispersed towards the north or northeast of the industrial complex. In the case of HCHO, dispersion was observed towards the south and southeast of the industrial complex. The far-reaching implications of this study are that for the first time, formaldehyde emissions were quantified. In addition, a follow-up study was conducted regarding nitrogen dioxide and sulfur dioxide emissions from the Tula Industrial area. Full article
(This article belongs to the Section Air Pollution)
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16 pages, 664 KiB  
Article
Evaluation of Breast Skin/Nipple–Areolar Complex Sensation and Quality of Life after Nipple-Sparing Mastectomy Followed by Reconstruction
by Beatriz Soares Domingues Polita, Jānis Lapinš, Ansis Ģīlis, Michal Grucki, Arvids Irmejs, Jānis Gardovskis and Jeļena Maksimenko
Medicina 2024, 60(10), 1655; https://doi.org/10.3390/medicina60101655 - 9 Oct 2024
Abstract
Background and Objectives: Sensation of the breast skin and nipple–areolar complex (NAC) is commonly assumed to be diminished or completely absent following nipple-sparing mastectomy (NSM) with implant- or expander-based reconstruction. The purpose of this cohort study was to evaluate breast skin and [...] Read more.
Background and Objectives: Sensation of the breast skin and nipple–areolar complex (NAC) is commonly assumed to be diminished or completely absent following nipple-sparing mastectomy (NSM) with implant- or expander-based reconstruction. The purpose of this cohort study was to evaluate breast skin and NAC long-term touch pressure sensibility, from 1 month to 1 year, after NSM followed by reconstruction with an implant or expander, and patient quality of life (QoL), hypothesizing that sensibility may diminish with a small progressive return throughout the postoperative period. Materials and Methods: This was achieved by performing sensation tests using Semmes–Weinstein monofilaments (SWM) in nine predefined points of the breast and NAC, a two-point discrimination test (TPD) in the four quadrants of the breast, and QoL assessment using the BREAST-Q. We evaluated 42 patients in Pauls Stradiņš Clinical University Hospital, with a total of 66 breasts, who underwent NSM between 2021 and 2023, performing the breast sensation tests before surgery and postoperatively at 1/3/6 months and 1 year. The BREAST-Q was administered to assess patient satisfaction and well-being. Results: Our results reflect a decline in breast skin and NAC sensation in the 1-month evaluation after NSM (mean: 4.67) when compared to the assessment before surgery (mean: 2.57), with a small progressive return reflected in the 3 months (mean: 3.79), 6 months (mean: 3.68), and 1-year evaluations (mean: 3.14). The following were the mean scores obtained from the BREAST-Q: Psychosocial Well-being (mean: 66), Sexual Well-being (mean: 50), Satisfaction with Breasts Pre-OP (mean: 58), satisfaction with breast reconstruction (mean: 52), Satisfaction with Implants, Satisfaction with nipple reconstruction, Physical Well-being Chest, Adverse effects of radiation, and Satisfaction with Information. Conclusions: This study confirms that sensibility diminishes after this procedure, as observed when comparing the sensation evaluation results before the operation with the 1-month evaluation, reflecting a small progressive return in the following months. Full article
(This article belongs to the Section Surgery)
8 pages, 521 KiB  
Article
Sex Differences in Elderly People’s Sleep: A Cross-Sectional Study
by Francesco Salis, Maristella Belfiori, Michela Figorilli, Martina Mulas, Monica Puligheddu and Antonella Mandas
Medicina 2024, 60(10), 1654; https://doi.org/10.3390/medicina60101654 - 9 Oct 2024
Abstract
Background and Objectives: Sex differences are unclear in geriatric sleep medicine, and most evidence comes from inference from preclinical bases or clinical studies conducted on younger people. The aim of this study is to explore sex differences in sleep quality and daytime [...] Read more.
Background and Objectives: Sex differences are unclear in geriatric sleep medicine, and most evidence comes from inference from preclinical bases or clinical studies conducted on younger people. The aim of this study is to explore sex differences in sleep quality and daytime sleepiness in a cohort of elderly people. Materials and Methods: This cross-sectional study involved subjects aged 65 years or older undergoing multidimensional evaluation, including sleep quality and daytime sleepiness assessment with validated tools. Results: This study included 226 subjects (69.5% women), the majority of whom showed poor sleep quality (64.2%). A logistic regression model put one before the other sleep quality and gender. It initially showed that men were about half likely as women to have poor sleep quality (OR 0.48, 95%CI 0.27–0.86). Nonetheless, after adjusting for cognitive status and mood, the difference became smaller and insignificant (OR 0.72, 95%CI 0.38–1.38). Conclusions: Sex differences in elderly people’s sleep quality seem to not be independent, appearing to be affected by alterations in cognitive status and mood. Full article
(This article belongs to the Section Epidemiology & Public Health)
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26 pages, 4879 KiB  
Article
Mechanistic Analysis of Anodic Oxidation of Gold in KOH (0.1 M) Solution Using the Point Defect Model
by Zahed Ghelichkhah, Digby D. Macdonald and Gregory S. Ferguson
Corros. Mater. Degrad. 2024, 5(4), 450-475; https://doi.org/10.3390/cmd5040021 - 9 Oct 2024
Abstract
The potentiostatic, anodic formation of gold oxide at potentials of 0.55 to 0.80 V versus SHE in aqueous KOH (0.1 M) was studied using an impedance-based Point Defect Model (PDM). The film thickness and refractive indices at each formation potential were estimated using [...] Read more.
The potentiostatic, anodic formation of gold oxide at potentials of 0.55 to 0.80 V versus SHE in aqueous KOH (0.1 M) was studied using an impedance-based Point Defect Model (PDM). The film thickness and refractive indices at each formation potential were estimated using spectroscopic ellipsometry. The thickness of the oxide increases linearly with increasing applied voltage within this range. Mott-Schottky (MS) analysis showed that gold oxide formed in KOH (0.1 M) is an n-type semiconductor, and the dominant defect (Aui3+) density is calculated to be in the order of 1021–1022 (1/cm3). The steady-state current density of the oxide formation was independent of voltage, also in agreement with an n-type oxide. Reasonable agreement between PDM predictions and experimental observations of dominant defect density, steady-state current density, and thickness, demonstrates the value of the PDM in this system. Full article
(This article belongs to the Special Issue Corrosion Mechanisms and Electrochemical Interfaces: In Honor of Prof. Digby Macdonald)
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12 pages, 427 KiB  
Article
An Exploration of Self-Efficacy and Its Associated Factors among Rheumatoid Arthritis Patients in Taiwan
by I-Yu Hsiao, Hanoch Livneh, Wei-Jen Chen, Ming-Chi Lu and Tzung-Yi Tsai
Medicina 2024, 60(10), 1653; https://doi.org/10.3390/medicina60101653 - 9 Oct 2024
Abstract
Self-efficacy is an important ingredient in successful disease management, especially in patients with chronic conditions such as rheumatoid arthritis (RA). However, the information on self-efficacy and its influencing factors among RA patients is scarce. This study investigated the level of self-efficacy and its [...] Read more.
Self-efficacy is an important ingredient in successful disease management, especially in patients with chronic conditions such as rheumatoid arthritis (RA). However, the information on self-efficacy and its influencing factors among RA patients is scarce. This study investigated the level of self-efficacy and its pertinent predictors among RA patients in Taiwan. This cross-sectional study recruited patients with RA from a hospital in Taiwan between January and October 2023. A structured questionnaire was used to collect data on respondents’ demographic and job characteristics and included a Chinese version of the Arthritis Self-Efficacy Scale (ASES). Multiple linear stepwise regression analysis was employed to identify predictors of self-efficacy. A total of 284 RA patients were enrolled during the study period. The mean ASES score among enrollees was 1607.1, indicating a moderate level of self-efficacy (score range of 200–2000). The regression model displayed that those with higher disease activity scores, Taiwanese Depression Questionnaire scores, fatigue level, shorter disease duration, swollen upper limb joints, and no regular exercise regimen reported lower ASES scores, accounted for 46% of the total variance. The study findings may be useful for healthcare providers in identifying RA patients with low self-efficacy attitudes, a trait that appears to be linked to several medical indicators, and thus facilitating the provision of future tailored healthcare regimens. Full article
(This article belongs to the Special Issue Recent Advances in Autoimmune Rheumatic Diseases: 2nd Edition)
14 pages, 936 KiB  
Article
Algorithmic Coverage Quantification and Visualization in Range-Free Sensor Networks
by Maria S. Zakynthinaki, Ioannis S. Barbounakis and Emmanuel N. Antonidakis
Appl. Syst. Innov. 2024, 7(5), 97; https://doi.org/10.3390/asi7050097 - 9 Oct 2024
Abstract
This study introduces a novel method that addresses the challenge of visualizing and quantifying detection coverage areas in wireless sensor networks. The method involves projecting a network of range-free sensors and pre-existing transmitters, located within a predefined area of interest, onto a global [...] Read more.
This study introduces a novel method that addresses the challenge of visualizing and quantifying detection coverage areas in wireless sensor networks. The method involves projecting a network of range-free sensors and pre-existing transmitters, located within a predefined area of interest, onto a global coordinate system. Detection areas are defined as those covered by the sensing range of at least three sensors. Pre-existing transmitters located within the detection range of the sensors are assumed to degrade the networks’ performance by causing coverage gaps. Interactive satellite maps facilitate the dynamic exploration of coverage via the calculation and visualization of the resulting detection areas. The algorithmic structure of the proposed tool is explained in detail, and four example scenarios demonstrate the tool’s capabilities, as well as its flexibility, adaptability, and effectiveness in identifying the triangulated detection areas. Designed primarily as a geometry calculation and visualization tool that allows for the adjustment of sensor parameters such as locations, ranges, and angular ranges of detection, the proposed tool has the potential to enhance decision-making in sensor network configuration, prior to final sensor placement, across a wide range of applications. Full article
18 pages, 765 KiB  
Article
Joint Computation Offloading and Trajectory Optimization for Edge Computing UAV: A KNN-DDPG Algorithm
by Yiran Lu, Chi Xu and Yitian Wang
Drones 2024, 8(10), 564; https://doi.org/10.3390/drones8100564 - 9 Oct 2024
Abstract
Unmanned aerial vehicles (UAVs) are widely used to improve the coverage and communication quality of wireless networks and assist mobile edge computing (MEC) due to their flexible deployments. However, the UAV-assisted MEC systems also face challenges in terms of computation offloading and trajectory [...] Read more.
Unmanned aerial vehicles (UAVs) are widely used to improve the coverage and communication quality of wireless networks and assist mobile edge computing (MEC) due to their flexible deployments. However, the UAV-assisted MEC systems also face challenges in terms of computation offloading and trajectory planning in the dynamic environment. This paper employs deep reinforcement learning to jointly optimize the computation offloading and trajectory planning for UAV-assisted MEC system. Specifically, this paper investigates a general scenario where multiple pieces of user equipment (UE) offload tasks to a UAV equipped with a MEC server to collaborate on a complex job. By fully considering UAV and UE movement, computation offloading ratio, and blocked relations, a joint computation offloading and trajectory optimization problem is formulated to minimize the maximum computational delay. Due to the non-convex nature of the problem, it is converted into a Markov decision process, and solved by the deep deterministic policy gradient (DDPG) algorithm. To enhance the exploration capability and stability of DDPG, the K-nearest neighbor (KNN) algorithm is employed, namely KNN-DDPG. Moreover, the prioritized experience replay algorithm, where the constant learning rate is replaced by the decaying learning rate, is utilized to enhance the converge. To validate the effectiveness and superiority of the proposed algorithm, KNN-DDPG is compared with the benchmark DDPG algorithm. Simulation results demonstrate that KNN-DDPG can converge and achieve 3.23% delay reduction compared to DDPG. Full article
(This article belongs to the Special Issue Space–Air–Ground Integrated Networks for 6G)
17 pages, 326 KiB  
Article
Indigenous Identity Appropriation in Aotearoa New Zealand: The White Academics Who Claim to Be Indigenous Māori and the Māori Who Claim to Be Indigenous Whites
by Deane Galbraith
Genealogy 2024, 8(4), 129; https://doi.org/10.3390/genealogy8040129 - 9 Oct 2024
Abstract
Unlike in North America, where several “race-shifters”, “Pretendians”, or “self-indigenizers” have been exposed over the last decade, Indigenous identity appropriation has not been publicly exposed or even widely discussed in Aotearoa New Zealand. This study is the first to identify and to describe [...] Read more.
Unlike in North America, where several “race-shifters”, “Pretendians”, or “self-indigenizers” have been exposed over the last decade, Indigenous identity appropriation has not been publicly exposed or even widely discussed in Aotearoa New Zealand. This study is the first to identify and to describe the methods and motivations of four Pākehā (White) self-indigenizers who are currently working, or were trained, in Aotearoa New Zealand, outlining also the harms they have caused. In addition, this study examines another type of Indigenous identity appropriation taking place in Aotearoa New Zealand, involving a small group of central North Island Māori, whose primary spokesperson is Monica Matāmua. The group claim to be descended from white-skinned Hotu, who they purport had migrated to Aotearoa New Zealand in the 200s B.C., making them the alleged true Indigenous people instead of Māori. Each type of Indigenous identity appropriation provides a range of benefits to those who thereby claim Indigenous status, and this is in part due to the valorization of certain aspects of Indigeneity that occurred from ca. the 1960s to the 1980s. Indigenous identity appropriation has further been encouraged by the backlash against so-called “Māori privilege” that has gathered momentum since ca. the 1980s. Full article
(This article belongs to the Special Issue (Un)Settling Genealogies: Self-Indigenization in Media, Arts, Politics, and Academia)
15 pages, 6180 KiB  
Article
Bionic Optimization Design and Fatigue Life Prediction of a Honeycomb-Structured Wheel Hub
by Na Liu, Xujie Liu, Yueming Jiang, Peng Liu, Yuanyuan Gao, Hang Ding and Yujun Zhao
Biomimetics 2024, 9(10), 611; https://doi.org/10.3390/biomimetics9100611 - 9 Oct 2024
Abstract
The wheel hub is an important component of the wheel, and a good hub design can significantly improve vehicle handling, stability, and braking performance, ensuring safe driving. This article optimized the hub structure through morphological aspects, where reducing the hub weight contributed to [...] Read more.
The wheel hub is an important component of the wheel, and a good hub design can significantly improve vehicle handling, stability, and braking performance, ensuring safe driving. This article optimized the hub structure through morphological aspects, where reducing the hub weight contributed to enhanced fuel efficiency and overall vehicle performance. By referencing honeycombed structures, a bionic hub design is numerically simulated using finite element analysis and response surface optimization. The results showed that under the optimization of the response surface analytical model, the maximum stress of the optimized bionic hub was 109.34 MPa, compared to 119.77 MPa for the standard hub, representing an 8.7% reduction in maximum stress. The standard hub weighs 34.02 kg, while the optimized hub weight was reduced to 29.89 kg, a decrease of 12.13%. A fatigue analysis on the optimized hub indicated that at a stress of 109.34 MPa, the minimum load cycles were 4.217 × 105 at the connection point with the half-shaft, meeting the fatigue life requirements for commercial vehicle hubs outlined in the national standard GB/T 5334-2021. Full article
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22 pages, 2930 KiB  
Article
Role of the Regulation Framework in Occupational Safety in Construction Excavation Works—A Survey Analysis in Turkey
by Nurdan Baykuş, Aaron Anil Chadee, Nurgül Yalçın and Hazi Mohammad Azamathulla
Safety 2024, 10(4), 87; https://doi.org/10.3390/safety10040087 - 9 Oct 2024
Abstract
The construction sector is known to have the highest risks of occupational accidents. A rationale for this high occurrence of occupational risks can be related to legislative requirements to enforce safe construction practices within this sector. Within the context of excavation works in [...] Read more.
The construction sector is known to have the highest risks of occupational accidents. A rationale for this high occurrence of occupational risks can be related to legislative requirements to enforce safe construction practices within this sector. Within the context of excavation works in Turkey, this study investigates the leading risks for any compliance shortfalls and ultimately presents recommendations to mitigate occupational accidents’ occurrences during excavation works in the construction sector. Based on a quantitative methodology, a closed-ended survey consisting of 35 questions and based on legislative requirements was applied to project managers in the construction industry, such as site supervisors, occupational safety experts, auditors, and control personnel. A sample size of 277 responses was found to have stability and validity through a reliability analysis and an exploratory factor analysis, and was used for testing statistical significance via cross-tabulation analysis and chi-square tests. The findings revealed that the major deviation of safety in excavation works from legislative requirements is executing works during adverse weather conditions. Moreover, it was also noteworthy that protective curtains did not surround the excavation sites, and most of the employees encountered ground slippage during excavation work. Therefore, the findings revealed preliminary research that will contribute positively to providing incentives for a focus on and development of relevant security and technical measures. It also provided information to protect the safety and welfare of the workers involved in excavation works. Finally, though these findings may be considered context-specific, this research can be used for comparative purposes for similar studies into the safety practices of excavation works in different countries, where generalized findings can be later derived to inform academia and practice. Full article
(This article belongs to the Special Issue Safety Performance Assessment and Management in Construction)
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21 pages, 8718 KiB  
Article
Performance Assessment of a Novel Green Concrete Using Coffee Grounds Biochar Waste
by Alexey N. Beskopylny, Sergey A. Stel’makh, Evgenii M. Shcherban’, Oxana Ananova, Andrei Chernil’nik, Diana El’shaeva, Anastasia Pogrebnyak, Ivan Dubinkin, Emrah Madenci, Ceyhun Aksoylu and Yasin Onuralp Özkılıç
Recycling 2024, 9(5), 94; https://doi.org/10.3390/recycling9050094 - 9 Oct 2024
Abstract
An actual scientific problem in current concrete science is poor knowledge of the problem of modifying concrete with plant waste. At the same time, plant waste benefits from other types of waste because it is a recycled raw material. A promising technological approach [...] Read more.
An actual scientific problem in current concrete science is poor knowledge of the problem of modifying concrete with plant waste. At the same time, plant waste benefits from other types of waste because it is a recycled raw material. A promising technological approach to modifying concrete with plant waste is the introduction of components based on the processing of coffee production waste into concrete. This study aims to investigate the use of biochar additives from spent coffee grounds (biochar spent coffee grounds—BSCG) in the technology of cement composites and to identify rational formulations. A biochar-modifying additive was produced from waste coffee grounds by heat treatment of these wastes and additional mechanical grinding after pyrolysis. The phase composition of the manufactured BSCG additive was determined, which is characterized by the presence of phases such as quartz, cristobalite, and amorphous carbon. The results showed that the use of BSCG increases the water demand for cement pastes and reduces the cone slump of concrete mixtures. Rational dosages of BSCG have been determined to improve the properties of cement pastes and concrete. As a result of the tests, it was determined that the ideal situation is for the BSCG ratio to be at a maximum of 8% in the concrete and not to exceed this rate. For cement pastes, the most effective BSCG content was 3% for concrete (3%–4%). The compressive and flexural strengths of the cement pastes were 6.06% and 6.32%, respectively. Concrete’s compressive strength increased by 5.85%, and water absorption decreased by 6.58%. The obtained results prove the feasibility of using BSCG in cement composite technology to reduce cement consumption and solve the environmental problem of recycling plant waste. Full article
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28 pages, 2473 KiB  
Systematic Review
Advancing Toward Sustainability: A Systematic Review of Circular Economy Strategies in the Textile Industry
by Héctor Guadalupe Ramírez-Escamilla, María Concepción Martínez-Rodríguez, Alejandro Padilla-Rivera, Diego Domínguez-Solís and Lorena Elizabeth Campos-Villegas
Recycling 2024, 9(5), 95; https://doi.org/10.3390/recycling9050095 - 9 Oct 2024
Abstract
The textile industry, fueled by the “fast fashion” phenomenon, contributes significantly to environmental, social, and economic degradation through the rapid turnover of styles, leading to substantial waste as consumers frequently discard garments. This cycle of consumption and production is linked to the social [...] Read more.
The textile industry, fueled by the “fast fashion” phenomenon, contributes significantly to environmental, social, and economic degradation through the rapid turnover of styles, leading to substantial waste as consumers frequently discard garments. This cycle of consumption and production is linked to the social demand added to purchase income, demonstrating the urgent need for sustainable interventions. The main objective of this study is to carry out a systematic review of the literature to identify and critically evaluate circular economy strategies implemented in the textile industry. This study conducted a systematic review of circular economy strategies in the textile industry using the PRISMA methodology. Our search spanned a ten-year period, examining 88 articles, from which 55 were selected as pertinent. The primary strategies identified include reuse, recycling, repair, and reduction, each of which is assessed through environmental, social, and economic lenses. Reuse is crucial for reducing impacts and waste, yet it is hampered by insufficient consumer incentives. Recycling shows promise but is hindered by technological and awareness barriers. Repair contributes to extending the lifespan of garments, thereby reducing the need for new production, although it encounters challenges in terms of service accessibility and consumer knowledge. The reduction involves the search for better and more sustainable materials, with the main barrier being the fast fashion. The findings suggest that reuse is not only economically viable but also capable of lessening social inequality. Recycling, however, necessitates substantial investments and the development of supportive policies. Repair, on the other hand, significantly lessens the environmental impact and can spur new economic opportunities and employment. Despite these hurdles, these strategies present viable pathways toward a more sustainable textile industry. However, achieving this requires a paradigm shift in both consumer behavior and corporate practices to embrace and optimize circular economy practices within the sector. Full article
(This article belongs to the Special Issue Sustainability of the Circular Economy)
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16 pages, 1126 KiB  
Article
Modelling of a Cylindrical Battery Mechanical Behavior under Compression Load
by Adrian Daniel Muresanu and Mircea Cristian Dudescu
Batteries 2024, 10(10), 353; https://doi.org/10.3390/batteries10100353 - 9 Oct 2024
Abstract
The extensive utilization of lithium-ion (Li-ion) batteries within the automotive industry necessitates rigorous measures to ensure their mechanical robustness, crucial for averting thermal runaway incidents and ensuring vehicle safety. This paper introduces an innovative methodology aimed at homogenizing the mechanical response of Li-ion [...] Read more.
The extensive utilization of lithium-ion (Li-ion) batteries within the automotive industry necessitates rigorous measures to ensure their mechanical robustness, crucial for averting thermal runaway incidents and ensuring vehicle safety. This paper introduces an innovative methodology aimed at homogenizing the mechanical response of Li-ion batteries under compression load, using Finite Element Method (FEM) techniques to improve computational efficiency. A novel approach is proposed, involving the selective application of compression loads solely to the Jelly Roll and its casing, achieved by cutting the battery heads. Through this method, distinct mechanical behaviors are identified within the battery force displacement curve: an elastic region, a zone characterized by plastic deformation, and a segment exhibiting densification. By delineating these regions, our study facilitates a comprehensive understanding of the battery’s mechanical response under compression. Two battery models were employed in this study: one representing the battery as a solid volume, and another featuring the jelly roll as a solid volume enclosed by a shell representing the casing. The material utilized was LS Dyna MAT24, chosen for its piecewise characteristics’ definition, and its validation was primarily conducted through the curve fitting method applied to the force–displacement curve, taking in account the three regions of the compression force behavior. This approach not only optimizes computational resources but also offers insights crucial for enhancing the mechanical stability of Li-ion batteries in automotive applications. Full article
(This article belongs to the Special Issue Towards a Smarter Battery Management System: 2nd Edition)
24 pages, 3037 KiB  
Article
Integrated Metabolome and Transcriptome Analyses Reveal the Mechanisms Regulating Flavonoid Biosynthesis in Blueberry Leaves under Salt Stress
by Bin Ma, Yan Song, Xinghua Feng, Pu Guo, Lianxia Zhou, Sijin Jia, Qingxun Guo and Chunyu Zhang
Horticulturae 2024, 10(10), 1084; https://doi.org/10.3390/horticulturae10101084 - 9 Oct 2024
Abstract
The flavonoids play important roles in plant salt tolerance. Blueberries (Vaccinium spp.) are extremely sensitive to soil salt increases. Therefore, improving the salt resistance of blueberries by increasing the flavonoid content is crucial for the development of the blueberry industry. To explore [...] Read more.
The flavonoids play important roles in plant salt tolerance. Blueberries (Vaccinium spp.) are extremely sensitive to soil salt increases. Therefore, improving the salt resistance of blueberries by increasing the flavonoid content is crucial for the development of the blueberry industry. To explore the underlying molecular mechanism, we performed an integrated analysis of the metabolome and transcriptome of blueberry leaves under salt stress. We identified 525 differentially accumulated metabolites (DAMs) under salt stress vs. control treatment, primarily including members of the flavonoid class. We also identified 20,920 differentially expressed genes (DEGs) based on transcriptome data; of these, 568 differentially expressed transcription factors (TFs) were annotated, and bHLH123, OsHSP20, and HSP20 TFs might be responsible for blueberry leaf salt tolerance. DEGs involved in the flavonoid biosynthesis pathway were significantly enriched at almost all stages of salt stress. Salt treatment upregulated the expression of most flavonoid biosynthetic pathway genes and promoted the accumulation of flavonols, flavonol glycosides, flavans, proanthocyanidins, and anthocyanins. Correlation analysis suggested that 4-coumarate CoA ligases (4CL5 and 4CL1) play important roles in the accumulation of flavonols (quercetin and pinoquercetin) and flavan-3-ol (epicatechin and prodelphinidin C2) under salt stress, respectively. The flavonoid 3′5′-hydroxylases (F3′5′H) regulate anthocyanin (cyanidin 3-O-beta-D-sambubioside and delphinidin-3-O-glucoside chloride) biosynthesis, and leucoanthocyanidin reductases (LAR) are crucial for the biosynthesis of epicatechin and prodelphinidin C2 during salt stress. Taken together, it is one of the future breeding goals to cultivate salt-resistant blueberry varieties by increasing the expression of flavonoid biosynthetic genes, especially 4CL, F3′5′H, and LAR genes, to promote flavonoid content in blueberry leaves. Full article
(This article belongs to the Special Issue Advances in Developmental Biology in Tree Fruit and Nut Crops)
16 pages, 1550 KiB  
Article
Transcriptome Wide Identification and Expression Analysis Revealed BhTALE Gene Family Regulates Wax Gourd (Benincasa hispida) Response to Low Calcium and Magnesium Stress
by Shahid Hussain, Jingjing Chang, Jing Li, Xiao Chen, Dasen Xie and Baige Zhang
Horticulturae 2024, 10(10), 1083; https://doi.org/10.3390/horticulturae10101083 - 9 Oct 2024
Abstract
The three-amino-loop-extension (TALE) family involves key transcription factors vital for maintaining different aspects of growth including leaf, flower, and fruit development and responses to stressful stimulus. Thus far, a deep understanding of the TALE gene family in wax gourd subjected to [...] Read more.
The three-amino-loop-extension (TALE) family involves key transcription factors vital for maintaining different aspects of growth including leaf, flower, and fruit development and responses to stressful stimulus. Thus far, a deep understanding of the TALE gene family in wax gourd subjected to low calcium and magnesium stress has been missing. Here, we isolated 24 BhTALE genes from a wax gourd genome database. Comprehensive bioinformatic analysis, including evolutionary tree, gene structures, conserved motifs, and chemical properties, provide structural and functional insights into the BhTALE gene family. Gene ontology (GO) analysis of TALE genes unveils their involvement in growth and stress responses. Promoter analysis indicates that hormones and stresses can influence the expression of BhTALE genes. Tissue-specific expression under low calcium and magnesium stress showed that BhTALE genes were more active in the leaves and roots. Notably, BhTALE7, BhTALE10, and BhTALE14 were expressed differentially in leaves under low calcium and magnesium applications. Similarly, the induced expression pattern of BhTALE4 was recorded in the roots under low calcium and magnesium applications. Our findings underscore the pivotal role of the BhTALE gene family in dealing with low calcium and magnesium stress in the wax gourd. Full article
(This article belongs to the Section Genetics, Genomics, Breeding, and Biotechnology (G2B2))
14 pages, 1259 KiB  
Article
The Nutritional, Mineral, and Nutraceutical Quality Is Differentially Affected by the Mango Cultivar
by Nieves Briceida Pérez-Meza, Felipe Ayala-Tafoya, Rosabel Vélez-de la Rocha, Carlos Alfonso López-Orona, José Ángel Martínez-Gallardo, María Dolores Muy-Rangel and Cesar San-Martín-Hernández
Horticulturae 2024, 10(10), 1082; https://doi.org/10.3390/horticulturae10101082 - 9 Oct 2024
Abstract
The main mango cultivars produced in the southern Pacific region of Mexico are Ataulfo, Manila, Haden, and Criollo. However, mineral, nutritional, and nutraceutical composition studies are limited. This study aimed to evaluate the effect of cultivars on the nutritional, mineral, and nutraceutical qualities [...] Read more.
The main mango cultivars produced in the southern Pacific region of Mexico are Ataulfo, Manila, Haden, and Criollo. However, mineral, nutritional, and nutraceutical composition studies are limited. This study aimed to evaluate the effect of cultivars on the nutritional, mineral, and nutraceutical qualities of mango produced in Mexico. The cultivar significantly affected (p ≤ 0.05) the fruit composition across these indices. Criollo had the highest potassium, magnesium, sodium, and zinc concentrations, while Haden showed the highest calcium content. Manila had the highest iron content, contributing 0.76% of the recommended daily intake. Ataulfo and Haden were statistically similar in manganese content, both higher than Criollo, with Ataulfo reaching the maximum copper concentration. Ataulfo also had the highest sugar content, while Criollo had the most dietary fiber (3.1%), double that of Ataulfo and Haden. Haden had the lowest dry matter (14.8%) and lowest protein content (0.46%), with Manila showing the lowest ash content. The cultivars also differed in nutraceutical composition: Ataulfo was highest in total phenols, DPPH, and vitamin A; Haden in carotenoids and flavonoids; and Criollo in vitamin C. Cultivar selection induces changes in mango nutritional composition. Full article
(This article belongs to the Special Issue Postharvest Physiology of Horticultural Crops)
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