bluuebunny/crossref_metadata_2025 huggingface dataset:
Training, practice, and career considerations in forensic psychology: results from a field survey of clinical and non-clinical professionals in the United States
Authors: LaDuke Casey , DeMatteo David , Brank Eve M. , Kavanaugh Antoinette
Published: November 2024

The current field survey describes the identities, training, practices, and careers of 351 U.S. forensic psychologists. Findings are presented for clinical forensic psychologists (n = 323) with additional consideration for those working in institutions (n = 119), private practice (n = 107), or both (n = 90), and separately for non-clinical forensic psychologists (n = 35). The sample was predominantly middle-aged, White, and female. Participants reported various training paths to the field, and professional settings and activities in the field. Student loan debt was common and significant in clinical Forensic psychologists. Income was generally high, with trends in higher incomes for private practice, board certification, urban areas, and certain geographic regions. Gendered income disparities were common, particularly among those later in their careers and in private practice, with relative parity only observed among early-career clinical forensic psychologists in institutions. Career satisfaction was generally high, with some important barriers noted. Overall, the limited representation of those with historically marginalized cultural identities restricted further consideration and understanding of these important factors in the field. Additional data and discussion are provided for these and other areas of demographics and lived experiences, training and related financial considerations, professional practices (including settings, activities, and clinical test use), and career considerations (including income, benefits, retirement planning, and satisfaction). Together, these data and related discussions offer important insights for prospective and current trainees entering the field, professionals seeking to navigate and advance their careers, and field leaders aiming to contribute to the ongoing development of forensic psychology.
How leisure involvement impacts visitors’ perceived health benefits in urban forest parks: examining the moderating role of place attachment
Authors: Zhou Wei , Fan Shaozhen , Wu Yuanjing , Wang Guangyu , Lan Siren
Published: November 2024

Urban forest park leisure is a significant means for residents to achieve health and well-being, thus possessing high public health value. However, the relationship between visitors’ leisure involvement and perceived health benefits has not been clarified. This study introduced restorative experiences and positive emotions as mediators and place attachment as a psychological moderator, innovatively constructing a stimulus-organism-response-moderator (SORM) integrated model. This moderated mediation model aimed to examine the mechanism through which visitors’ leisure involvement influenced perceived health benefits. A field survey was conducted in Fuzhou National Forest Park in Fujian, China, resulting in the collection of 588 valid questionnaires. The results showed that visitors’ leisure involvement positively impacted restorative experiences and positive emotions. Restorative experiences and positive emotions completely mediated the indirect relationship between visitors’ leisure involvement and perceived health benefits. Place attachment enhanced the impact of restorative experiences on perceived health benefits, thereby positively moderating the mediation effect of restorative experiences. Place attachment also diminished the impact of positive emotions on perceived health benefits, thereby negatively moderating the mediation effect of positive emotions. Therefore, significant differences existed in the psychological processes involved in acquiring perceived health benefits among visitors with different levels of place attachment. Our findings might enrich the existing knowledge of place attachment and forest health benefits, providing valuable references for designing and optimizing urban forest parks.
The impact of job fitness on depressive symptoms in Korean middle-aged and older population: a longitudinal study
Authors: Yun Il , Jung Seok-Hwan , Chon Doukyoung , Kim Jae-Hyun , Moon Jong Youn
Published: November 2024

Purpose

This study aimed to determine the impact of job fitness on depression and depressive symptoms in Korean middle-aged and older population.

Methods

We collected data from the Korean Longitudinal Study of Aging (KLoSA), and performed a longitudinal analysis on 3,185 individuals with jobs at baseline. The dependent variable, depressive symptoms was measured by CES-D10 score, and the main variable of interest, job fitness was classified into nine groups according to job satisfaction and education level. To determine whether the estimate of depressive symptoms over the past week and depression changed over time, we applied the Generalized Estimating Equation (GEE) model.

Results

In the fully adjusted model, the impact of job fitness on depression and depressive symptoms was statistically significant. Compared to those with a suitable job level and a medium educational level, those with a large gap between job and educational levels were more likely to develop depression and depressive symptoms. It was also found that satisfaction with job content was a crucial factor affecting depression in the middle-aged and older adults.

Conclusion

Our findings demonstrated that job fitness significantly influenced depression, even after accounting for the effect of job satisfaction caused by a mismatch in job-education fitness. Since work demands and responsibility are difficult to quantify or qualify, job-education fitness could serve as a valuable tool to predict the extent of depression deterioration in individuals.
Visual search for hazardous items: using virtual reality (VR) in laypersons to test wearable displays for firefighters
Authors: Feder Sascha , Püschel Aline , Şimşek Melis , Odenwald Stephan , Bendixen Alexandra , Einhäuser Wolfgang
Published: November 2024

In virtual reality (VR), we assessed how untrained participants searched for fire sources with the digital twin of a novel augmented reality (AR) device: a firefighter’s helmet equipped with a heat sensor and an integrated display indicating the heat distribution in its field of view. This was compared to the digital twin of a current state-of-the-art device, a handheld thermal imaging camera. The study had three aims: (i) compare the novel device to the current standard, (ii) demonstrate the usefulness of VR for developing AR devices, (iii) investigate visual search in a complex, realistic task free of visual context. Users detected fire sources faster with the thermal camera than with the helmet display. Responses in target-present trials were faster than in target-absent trials for both devices. Fire localization after detection was numerically faster and more accurate, in particular in the horizontal plane, for the helmet display than for the thermal camera. Search was strongly biased to start on the left-hand side of each room, reminiscent of pseudoneglect in scene viewing. Our study exemplifies how VR can be used to study vision in realistic settings, to foster the development of AR devices, and to obtain results relevant to basic science and applications alike.
Performance of cash transfer program on farmers’ livelihood: evidence from PM-KISAN scheme of India
Authors: Ghosh Bhaskar , Burman Rajarshi Roy , Padaria Rabindra Nath , Paul Sudipta , Mahra Girijesh Singh , Kumar Pramod , Bhowmik Arpan , Mallick Sonali , Saini Sushmita , Gorai Sudip Kumar , Mukherjee Sweety , Quader Sk Wasaful
Published: November 2024

Introduction

Research into various aspects of vulnerability and poverty has played a key role in shaping cash transfer systems. Cash-based direct benefit transfers (DBT) are frequently discussed, as they help reduce corruption and limit intermediary involvement, which often impedes policy implementation in countries like India. Small and marginal farmers (SMFs), constituting 86% of India’s farming population, are essential for sustainable agricultural growth and ensuring food and nutrition security. The Pradhan Mantri Kisan Samman Nidhi (PM-KISAN) scheme provides Rs.6000 annually to the farmer families via DBT mechanism. Despite reports and information from various government sources, significant concerns remain regarding the performance of PM-KISAN scheme in improving living conditions of SMFs.

Methods

For having the highest number of SMFs, a research study was conducted in Bihar and Uttar Pradesh. Two cluster of villages from each of these two states were chosen by simple random sampling (SRS) method. An ex post facto research design was used; data was gathered from 240 SMFs, with 120 beneficiaries and 120 non-beneficiaries, using a stratified disproportionate simple random sampling technique. The study used 18 indicators related to livelihood assets—human capital, social capital, natural capital, physical capital, and financial capital—to generate a Livelihood Index (LI) through Principal Component Analysis (PCA).

Results

The beneficiaries of the scheme had an average LI score of 0.396, while non-beneficiaries had a score of 0.366. Propensity Score Matching (PSM) was employed to compare the beneficiaries and non-beneficiaries in order to determine the impact of the scheme. In the Livelihood Index of beneficiaries, in comparison to non-beneficiaries, there was a significant improvement of 3.34 to 4.13 percentage points, according to the analysis, which utilized a variety of matching algorithms.

Discussion

Implications from the study suggests that PM-KISAN should be integrated into a broader rural development strategy to maximize multiplier effects. By combining cash transfers with complementary initiatives like modern technology adoption and high-yield seeds, farmers can make productive investments that could enhance their livelihood status.
PEMFC Gas-Feeding Control: Critical Insights and Review
Authors: Fang Shiyi , Feng Jianan , Fan Xinyu , Chen Daifen , Tan Cao
Published: November 2024

Proton exchange membrane fuel cells (PEMFCs) are currently a relatively mature type of hydrogen energy device due to their high efficiency and low noise compared to traditional power devices. However, there are still challenges that hinder the large-scale application of PEMFCs. One key challenge lies in the gas supply system, which is a complex, coupled nonlinear system. Therefore, an effective control strategy is essential for the efficient and stable operation of the gas control system. This paper aims to provide a comprehensive and systematic overview of the control strategies for PEMFC anode and cathode supply systems based on an analysis of 182 papers. The review covers modern control theories and optimization algorithms, including their design, objectives, performance, applications, and so on. Additionally, the advantages and disadvantages of these control methods are thoroughly evaluated and summarized.
Micro-CT Analysis of Pore Structure in Upland Red Soil Under Different Long-Term Fertilization Regimes
Authors: Fang Huan , Zhang Na , Yu Zhenghong , Li Dongchu , Peng Xinhua , Zhou Hu
Published: November 2024

This study hypothesized that long-term fertilization alters the pore structure and aggregate stability in upland red soil. A long-term fertilization experiment in Qiyang, Hunan, was conducted with three treatments: no fertilization (CK), nitrogen–phosphorus–potassium fertilization (NPK), and nitrogen–phosphorus–potassium combined with pig manure (NPKOM). X-ray computed tomography (CT) scanning technology was used to assess three-dimensional pore structures at both the soil column (50 mm diameter and 50 mm height) and aggregate scales (diameter 3–5 mm), alongside the evaluation of the soil’s physical and chemical properties. Results showed that the soil organic carbon content (SOC) increased by 44.8% in NPK and 112.5% in NPKOM compared to CK. NPKOM improved the aggregate stability by 51.6%, whereas NPK had no significant effect. At the soil column scale, NPK increased the total porosity by 13.7% but reduced larger pores (>0.06 mm), whereas NPKOM decreased the total porosity by 7.8% and increased larger pores. At the aggregate scale, NPKOM increased the porosity for pores >0.098 mm by 7.6 times compared to CK and 9.5 times compared to NPK. In conclusion, long-term NPKOM significantly enhances the SOC and aggregate stability and promotes larger pore formation, unlike NPK, which mainly increases SOC but does not improve the soil structure.
Research on Path Planning of Agricultural UAV Based on Improved Deep Reinforcement Learning
Authors: Fu Haitao , Li Zheng , Zhang Weijian , Feng Yuxuan , Zhu Li , Fang Xu , Li Jian
Published: November 2024

Traditional manual or semi-mechanized pesticide spraying methods often suffer from issues such as redundant coverage and cumbersome operational steps, which fail to meet current pest and disease control requirements. Therefore, there is an urgent need to develop an efficient pest control technology system. This paper builds upon the Deep Q-Network algorithm by integrating the Bi-directional Long Short-Term Memory structure to propose the BL-DQN algorithm. Based on this, a path planning framework for pest and disease control using agricultural drones is designed. This framework comprises four modules: remote sensing image acquisition via the Google Earth platform, task area segmentation using a deep learning U-Net model, rasterized environmental map creation, and coverage path planning. The goal is to enhance the efficiency and safety of pesticide application by drones in complex agricultural environments. Through simulation experiments, the BL-DQN algorithm achieved a 41.68% improvement in coverage compared with the traditional DQN algorithm. The repeat coverage rate for BL-DQN was 5.56%, which is lower than the 9.78% achieved by the DQN algorithm and the 31.29% of the Depth-First Search (DFS) algorithm. Additionally, the number of steps required by BL-DQN was only 80.1% of that of the DFS algorithm. In terms of target point guidance, the BL-DQN algorithm also outperformed both DQN and DFS, demonstrating superior performance.
Identification of Goat Supernumerary Teat Phenotype Using Wide-Genomic Copy Number Variants
Authors: Xu Lu , Zhang Weiyi , Zhang Haoyuan , Yang Xiuqin , Ceccobelli Simone , Zhao Yongju , E Guangxin
Published: November 2024

Supernumerary teats (SNTs) or nipples often emerge around the mammary line. This study performed a genome-wide selective sweep analysis (GWS) at the copy number variant (CNV) level using two selected signal calculation methods (VST and FST) to identify candidate genes associated with SNTs in goats. A total of 12,310 CNVs were identified from 37 animals and 123 CNVs, with the top 1% VST values including 84 candidate genes (CDGs). Of these CDGs, minichromosome maintenance complex component 3, ectodysplasin A receptor associated via death domain, and cullin 5 demonstrated functions closely related to mammary gland development. In addition, 123 CNVs with the top 1% FST values were annotated to 97 CDGs. 5-Hydroxytryptamine receptor 2A, CCAAT/enhancer-binding protein alpha, and the polymeric immunoglobulin receptor affect colostrum secretion through multiple signaling pathways. Two genes, namely, RNA-binding motif protein 46 and β-1,3-galactosyltransferase 5, showed a close relation to mammary gland development. Six CNVs were identified and annotated to five genes by intersecting the top 1% of candidate CNVs with both parameters. These genes include LOC102185621, LOC102190481, and UDP-glucose pyrophosphorylase 2, which potentially affect the occurrence of BC through multiple biological processes, such as cell detoxification, glycogen synthesis, and phospholipid metabolism. In conclusion, we discovered numerous genes related to mammary development and breast cancer (BC) through a GWS, which suggests the mechanism of SNTs in goats and a certain association between mammary cancer and SNTs.
Long-Term Changes in Tibial Plateau Angle (TPA) Following Tibial Plateau Leveling Osteotomy (TPLO) in Dogs—A Retrospective Study
Authors: Morawska-Kozłowska Magdalena , Zhalniarovich Yauheni
Published: November 2024

Background: Cranial cruciate ligament rupture is a common orthopedic condition in dogs. Tibial plateau leveling osteotomy (TPLO) is a widely accepted method due to its success in stabilizing the stifle joint. This study aims to investigate the changes in the TPA over a 12-month follow-up period in dogs undergoing TPLO. Methods: An analysis of medical records from 60 dogs, aged 2 to 8 years and weighing between 7 and 59 kg, who underwent the TPLO procedure was conducted. TPA measurements were recorded before surgery, immediately after surgery, and during follow-up periods at 8 weeks, 6 months, and 12 months post-operation. Results: Results showed a consistent increase in TPA over time, with the mean TPA rising from 4.98 degrees immediately post-surgery to 9.02 degrees at the 12-month follow-up. No patients exhibited a decrease in TPA during the study period. The mean difference between the final and initial TPA was 4.045 degrees, with patients exhibiting smaller initial TPAs showing less variation over time; Conclusions: This is the first report on long-term TPA changes following TPLO, offering essential insights into tibial remodeling and the potential for optimizing surgical outcomes. Based on the results, achieving a lower initial TPA (1–2 degrees) may reduce postoperative TPA changes, supporting more stable stifle function.
Effect of Dietary Xylanase Inclusion on Growth Performance, Nutrient Digestibility, and Digesta Viscosity of Weaned Pigs Fed Wheat–Soybean Meal-Based Diets
Authors: Galli Gabriela M. , Forero Salamanca Alejandra , Haydon Keith , Levesque Crystal L. , Perez-Palencia Jorge Y.
Published: November 2024

(1) Background: This study aimed to evaluate the effects of dietary xylanase addition on growth performance, nutrient digestibility, volatile fatty acids, and digesta viscosity at different digestive sites in weaned pigs fed wheat–soybean meal-based diets with reduced metabolizable energy. (2) Methods: A total of 312 weaned pigs (5.1 ± 0.9 kg, 20 ± 2 days of age) were assigned to one of six dietary treatments. The experimental diets were formulated in a three-phase nursery feeding program: phase 1 (d0–d7), phase 2 (d8–d21), and phase 3 (d22–d42). The experimental diets consisted of a wheat–soybean meal-based diet formulated to meet pig requirements (positive control, PC); the PC diet with a reduction of 100 kcal of metabolizable energy (ME) (negative control, NC); and the NC diet with either 900, 1800, 3600, or 7200 units of xylanase. Feed disappearance and body weight were measured at d7, 14, 21, and 42 in the nursery phase. The pen fecal score was assessed daily from d0 to d14 and three times a week from d15 to d28. On d21–d24 of the experiment (12 pigs per day), one pig per pen was selected for sample collection: ileal, cecal, and mid-colon digesta for viscosity and ileal digesta, feces for nutrient digestibility, and feces and cecal digesta for the measurement of volatile fatty acid. (3) Results: The addition of xylanase to the NC diets did not improve pig growth performance (body weight, feed conversion ratio, and average daily gain; p > 0.10) during the entire nursery phase. In Week 2 and Week 3, pigs fed xylanase had a lower (χ2 < 0.05) incidence of fecal scores 3 and 4 (diarrhea) than the PC and NC diets. In addition, the apparent total tract digestibility of neutral detergent fiber and acid detergent fiber increased linearly (p < 0.1) in response to xylanase addition. Xylanase addition (900 to 7200 U) decreased digesta viscosity in the colon compared to the PC and NC diets. Furthermore, xylanase addition resulted in a lower (p < 0.05) concentration of acetic, propionic, butyric, valeric, and total volatile fatty acid in cecal samples compared to PC. The addition of xylanase resulted in greater acetic and valeric acid concentrations in cecal samples compared to the NC group (p < 0.10). (4) Conclusions: Xylanase addition can improve nutrient digestibility, particularly at the total tract level, and reduce viscosity in the hindgut, which could be related to decreasing the occurrence of looseness. However, its impact on growth performance was minimal in wheat–soybean meal-based diets with a reduction of 100 kcal of ME.
Construction and Analysis of miRNA–mRNA Interaction Network in Ovarian Tissue of Wanxi White Geese Across Different Breeding Stages
Authors: Li Ruidong , Wang Yuhua , Xie Fei , Tong Xinwei , Li Xiaojin , Ren Man , Hu Qianqian , Li Shenghe
Published: November 2024

Ovarian development significantly influences the laying performance of geese. In this study, the transcriptome analysis was conducted on the ovarian tissues of Wanxi White Geese during the pre-laying (KL), laying (CL), and ceased-laying period (XL). Short Time-series Expression Miner (STEM) analysis and miRNA–mRNA regulatory network construction were performed to identify the key genes and miRNAs regulating laying traits. Comparative analysis of KL vs. CL, CL vs. XL, and XL vs. KL groups resulted in the identification of 337, 136, and 525 differentially expressed genes (DEGs), and 258, 1131, and 909 differentially expressed miRNAs (DEMs), respectively. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (p < 0.05) revealed that the main enrichment pathways of DEGs and DEMs at different breeding periods were Neuroactive ligand–receptor interaction, GnRH signaling pathway and Wnt signaling pathway, all associated with ovarian development. According to the three groups of common pathways, four DEGs were screened out, including INHBB, BMP5, PRL, and CGA, along with five DEMs, including let-7-x, miR-124-y, miR-1-y, and miR-10926-z, all of them may affect ovarian development. A miRNA–mRNA regulatory network was constructed through integrated analysis of DEGs and DEMs, revealing nine miRNAs highly associated with ovarian development: miR-101-y, let-7-x, miR-1-x, miR-17-y, miR-103-z, miR-204-x, miR-101-x, miR-301-y, and miR-151-x. The dual-luciferase reporter gene verified the target relationship between WIF1 and miR-204-x, suggesting that these miRNAs may influence ovarian development in Wanxi White Goose by regulating the expression levels of their target genes within ovarian tissue. This study provides a theoretical foundation for analyzing the mechanisms of ovarian development across different breeding periods and accelerating the cultivation of new breeds through post-transcriptional regulation levels.
The Effect of Saccharomyces cerevisiae Fermentation Product Supplementation on Pro-Inflammatory Cytokines in Holstein Friesian Cattle Experimentally Inoculated with Digital Dermatitis
Authors: Henige Marlee , Anklam Kelly , Aviles Matthew , Buettner Julia , Henschel Summer , Yoon Ilkyu , Wheeler Jeffrey , Dawson George , McGill Jodi , Döpfer Dörte
Published: November 2024

Digital dermatitis (DD) poses a major animal welfare concern for the dairy industry, with even broader economic implications for the agricultural industry worldwide. The postbiotic, a Saccharomyces cerevisiae fermentation product (SCFP), has had a positive influence on the innate immune system of cattle, which makes it a potential candidate as a feed supplement as part of a prevention strategy for DD. This study investigated the effect of a commercial SCFP feed supplement compared to a control feed supplement on the production of pro-inflammatory cytokines (IL-1β and IL-6) by peripheral blood mononuclear cells (PBMCs) in Holstein Friesian steers experimentally infected with DD. The results showed that SCFP supplementation was associated with an overall reduced IL-1β production (p = 0.005), particularly prior to experimental inoculation with a DD lesion homogenate. However, the results of the analysis suggest that the innate immune system in the SCFP group became prepared to respond more rapidly to DD infection post-inoculation. During active (M2), chronic (M4), and focal flare-ups (M4.1) of DD, SCFP supplementation resulted in a more rapid secretion of IL-1β (M2: p = 0.038; M4/M4/1: p = 0.034). A more rapid response to DD infection for IL-6 was only found for chronic (M4) and focal flare-ups (M4.1) of DD (p = 0.006). These findings emphasize the difference in cytokine response between various stages of DD in the SCFP group compared to the control, highlighting implications for DD prevention and treatment.
Research Progress on the Impact of Human Chorionic Gonadotropin on Reproductive Performance in Sows
Authors: Li Jiahao , Zhu Xuedan , Zhu Wenjun , Li Li , Wei Hengxi , Zhang Shouquan
Published: November 2024

Human chorionic gonadotropin is a glycoprotein hormone produced by human or humanoid syncytiotrophoblasts that differentiate during pregnancy. Due to its superior stability and long-lasting effects compared to luteinizing hormone, it is often used to replace luteinizing hormone to regulate reproductive performance in sows. Human chorionic gonadotropin promotes oocyte maturation, follicle development, and luteinization, thereby increasing conception rates and supporting early embryonic development. In sow reproductive management, the application of human chorionic gonadotropin not only enhances ovulation synchrony but also improves the success rate of embryo implantation by regulating endometrial receptivity and immune mechanisms, significantly enhancing overall reproductive performance. This article primarily reviews the application of human chorionic gonadotropin in sow follicle development, luteal maintenance, and embryo implantation, providing theoretical support for its use in improving reproductive performance in sows.
Effects of Acorns on Fatty Acid Composition and Lipid Metabolism in Adipose Tissue of Yuxi Black Pigs
Authors: Sun Zhe , Liu Dongyang , An Siyuan , Wu Xuejia , Zhang Jinzhou , Miao Zhiguo
Published: November 2024

The objective of the present research was the examination of how varying proportions of an acorn diet affects the deposition of subcutaneous fat and the composition of fatty acids (FAs) in Yuxi black pigs. Ninety pigs (with a balanced sex ratio and a similar weight 99.60 ± 2.32 kg) were stochastically assigned to the control group (CON) and the dietary acorn experimental groups (AEG). The CON was fed basal diets and the AEG1, AEG2, AEG3, and AEG4 groups were provided with dietary regimens comprising twenty, thirty, forty, and fifty per cent acorns, respectively. Each group consisted of six pigs, with three replicates. The breeding cycle was four months. The results demonstrated that, in comparison with the CON group, the lean meat rate was significantly increased in all test groups (p < 0.05), while in backfat thickness, loin eye area, carcass weight and slaughter rate was no significant difference (p > 0.05). The serum TC/HDL (total cholesterol divided by high-density lipoprotein-cholesterol) and TG/HDL (Triglyceride divided by high-density lipoprotein-cholesterol) levels in the AEG1 and AEG2 groups were significantly lower than the CON group (p < 0.05). There was no significant effect on the composition of FAs (p > 0.05). The number of fat cells in subcutaneous back fat and subcutaneous abdominal fat was significantly increased, and the area of fat cells was decreased (p < 0.05). Furthermore, the levels of ATGL and HSL expression in the subcutaneous back fat, as well as ACC, FAS, ATGL, PPARγ, and HSL expression in the subcutaneous abdominal fat, were significantly increased in the AEG2 group compared to the CON group (p < 0.05). Additionally, the expression of ACC, FAS, FABP4, PPARγ, C/EBPα, and FAS/HSL in the subcutaneous back fat, as well as FABP4, C/EBPα, and FAS/HSL in the subcutaneous abdominal fat, were significantly lower in the AEG2 group compared to the CON group (p < 0.05). In conclusion, it has been found that a 30% acorn diet can inhibit subcutaneous fat deposition and enhance the nutritional value of pork and the health of Yuxi black pigs.
Global Versus Local? A Study on the Synergistic Relationship of Ecosystem Service Trade-Offs from Multiple Perspectives Based on Ecological Restoration Zoning of National Land Space—A Case Study of Liaoning Province
Authors: Wu Qiang , Wang Li , Wang Tianyi , Chen Han , Du Peng
Published: November 2024

Clarifying the trade-offs and synergies of ecosystem services in Liaoning’s ecological restoration zones is crucial for strengthening the positioning of ecological restoration zones and optimizing ecosystem services. This study is based on “Liaoning Provincial Land Spatial Planning (2021–2035)” and divides the area into ecological restoration zones. We utilized the InVEST model, ArcGIS Pro, and Geoda in this study to quantify five ecosystem services (Soil Conservation, Carbon Storage, Habitat Quality, Water Yield, and Food Production) and constructed an evaluation framework to assess the trade-offs and synergies of ecosystem services at both global and local levels. The conclusions are as follows: (1) The global relationships among ecosystem services in different ecological restoration zones are ranked as: strong trade-offs (35.51%) > weak trade-offs (33.17%) > low synergies (29.09%) > high synergies (2.24%); (2) The area exhibiting synergistic relationships between pairs of local ecosystem services in ecological restoration zones is larger than the area exhibiting trade-offs; (3) The strongest synergy is observed between water yield and soil conservation, while the most significant trade-off occurs between food production and soil conservation. These relationships exhibit similar spatial characteristics in the WSFR, SWCR, and WCR zones; (4) The proportion of areas showing trade-offs and synergies differs between global and local scales.
Current Evidence and Advances in CAD-CAM Resin Composite Blocks for Chairside Dental Restorations: Where Are We Now? A Scoping Review
Authors: Abu Alhuda Sami , Arossi Guilherme Anziliero , Anagnostopoulos-King Fotini , Alkhubaizi Qoot , Mokeem Lamia S. , Melo Mary Anne Sampaio de
Published: November 2024

Objective: This study aimed to determine the status of the scientific literature on CAD-CAM resin blocks by mapping the available evidence and identifying knowledge gaps. Data/Source: A systematic search of studies investigating CAD-CAM resin blocks was conducted. Risk of bias was assessed, and data on study designs, level of evidence, compositional classification, manufacturer, commercial brand, and properties investigated were extracted. This review followed Arksey and O’Malley’s five-stage framework and utilized Medline (OVID), EMBASE, and Scopus (Elsevier) databases. Study Selection: Study selection resulted in 27 studies for data extraction out of 209 studies screened from an initial pool of 529 studies. High sampling bias related to sample size and randomization was observed in almost all studies. Most studies (99%) were conducted in vitro, with low levels of evidence. The most common composition was “nano-ceramic”. 3M ESPE was the manufacturer with the most investigated blocks, and their product, 3M™ Lava™ Ultimate Restorative, was predominant in the selected investigations. Methodological heterogeneity was extensive among the studies, with mechanical properties (38%) and bond strength (35%) being the most commonly investigated outcomes. Conclusion: This scoping review indicates an increasing trend in dental research assessing CAD-CAM resin blocks. However, the overall level of evidence derived from these studies is low, predominantly consisting of in vitro investigations. Clinical Significance: The findings underscore the need for clinical trials to augment the level of evidence and enable long-term assessment of CAD-CAM resin blocks. Dentists should be cautious while interpreting the findings from in vitro studies, as the outcomes may not directly translate to clinical success.
Fishing Vessel Risk and Safety Analysis: A Bibliometric Analysis, Clusters Review and Future Research Directions
Authors: Lee Soon Hyun , Kim Hyungju , Kwon Sooyeon
Published: November 2024

This study conducts a bibliometric analysis to evaluate the current research landscape and identify future directions in fishing vessel safety. Using the Scopus database, 285 relevant documents were collected and analyzed using the Biblioshiny app version 4.1 in the bibliometrix R package and VOSviewer version 1.6.20. The analysis generated an authors’ collaboration network, a three-field plot, and a keyword Thematic map, which were used for citation analysis, while VOSviewer was utilized to build networks between journals, articles, affiliations, countries, and keywords, enabling bibliographic coupling. The results identified four primary research clusters: Accident/Risk Analysis, Human Errors, Stability, and Operation. A detailed review of selected studies within these clusters was conducted, focusing on accident and risk factors, analytical methods, their strengths and weaknesses, and potential improvements. Based on these findings, a discussion was provided on future research directions in fishing vessel safety. The results suggest that future research should prioritize the integration of advanced technologies, enhancement of real-time monitoring capabilities, and promotion of international collaboration to ensure the safety of fishermen in hazardous environments.
The Role of Platelet-Rich Plasma in the Management of Ankle Osteoarthritis: A Systematic Review
Authors: Ortega-Castillo Miguel , Gomez-Caceres Abel , Medina-Porqueres Ivan
Published: November 2024

Ankle osteoarthritis (OA) is characterized by intraarticular, activity-related pain. mainly with weight-bearing activities. Several nonoperative therapies remain as the first choices, but there is still no consensus on which is the most effective. This study aimed to systematically synthesize the evidence regarding the effectiveness of PRP in the management of ankle OA. Searches were conducted on PubMed, Cochrane, CINAHL, and SPORTDiscus to find relevant articles from inception to December 2023. Details regarding study characteristics, PRP procedures, and outcomes were extracted. A quality assessment was developed according to Joanna Briggs Institute’s critical appraisal tool. A total of five studies met the inclusion criteria, with 184 patients receiving PRP therapy (mean age 55.7 years, and 51.1% were female). There were three case series, one prospective cohort, and one randomized controlled trial. Pain and function were the most frequently evaluated outcomes among the selected articles. They showed significant improvements in the short-term follow-ups, mostly in patients with II-III-stage ankle OA. There is currently insufficient evidence regarding the effectiveness and safety of PRPs in the treatment of ankle OA. A paucity of high-level research in the literature was also found.
Risk Assessment for the Development of Emergency Scenarios for Tram Driver Training
Authors: Tubis Agnieszka A. , Kierzkowski Artur , Kisiel Tomasz , Mardeusz Ewa , Ryczyński Jacek , Wolniewicz Łukasz
Published: November 2024

(1) Background: This article presents research results from a project to develop a simulator and training program for tram drivers based on virtual reality tools. This article aims to present the research results on the risk assessment of adverse events to develop training scenarios for tram drivers. (2) Methods: The research methodology involved four steps, including the identification of adverse events based on interviews with experts, estimation of risk parameters, risk assessment using fuzzy logic, and risk evaluation to identify events recommended for the training program. (3) Results: Thirteen adverse events related to tram driving were identified and ranked according to the proposed classification. A risk assessment was then performed for the selected group of events using fuzzy logic models. The results made it possible to recommend situations that should be mapped in the virtual world as part of a tram driver training program. (4) Conclusions: The results made it possible to distinguish a group of events that should constitute the training area dedicated to tram drivers. Including the developed emergency scenarios in the training program allows employees to examine their reactions to stressful or dangerous situations and better prepare themselves for future duties.
Creating a Quasi-Resonant Induction Cooktop Integrating Zero-Voltage Switching (ZVS) and Load Management
Authors: Aksöz Ahmet
Published: November 2024

This study aims to elucidate the development and construction of a durable induction cooktop, with key considerations including efficiency, power customization, and safety features. The intricate processes involved in crafting a 3.5 kW induction burner are thoroughly examined, encompassing simulations for quasi-resonant inverters, the meticulous selection of induction coils and capacitors, the implementation of practical Analog-to-Digital Converter (ADC) filtration, pulse width modulation (PWM) driving techniques, and the integration of protection mechanisms. Leveraging an ARM-based microcontroller enabled the attainment of diverse objectives such as Zero-Voltage Switching (ZVS), safeguarding IGBTs, facilitating user interaction through a user-friendly interface, and enabling load detection capabilities. Furthermore, the capability to gauge and adjust output power based on user preferences was incorporated. Subsequently, rigorous testing was conducted to evaluate the functionality and applicability of the device in real-world scenarios.
Complexity Evaluation for Urban Intersection Scenarios in Autonomous Driving Tests: Method and Validation
Authors: Li Jiangkun , Zong Ruixue , Wang Ying , Deng Weiwen
Published: November 2024

As autonomous driving technology scales up, complex urban intersections pose significant safety challenges. Current testing methods struggle to simulate these complex scenarios at a manageable cost, making simulation testing essential. For effective evaluation, establishing comprehensive and objective complexity metrics is crucial. However, existing complexity evaluation methods often depend on the performance of the primary vehicle and are based on local interaction relationships, which lack a global perspective and objectivity and have yet to be validated by autonomous driving systems. To address this issue, this paper proposes a multidimensional complexity assessment framework that introduces system-level indicators such as vehicle count, interaction density, disorder, and risk. This framework quantifies the complex interactions at intersections from a global perspective, independent of primary vehicle performance. Experimental results demonstrate that the complexity evaluation results are highly consistent with the performance of a high-level autonomous driving system (Apollo). The framework has been successfully applied to test scenario generation on the Apollo platform, achieving twice the scenario generation efficiency of traditional methods, thus showcasing substantial engineering value.
Optimization of High-Speed Rail Express Transportation Scheduling Based on Spatio-Temporal-State Network Modeling
Authors: Yang Yuting , Xie Xiaoling , Wang Zhimei
Published: November 2024

High-speed rail express is gradually gaining attention due to its low cost and high on-time performance. This paper studied the optimization of high-speed rail express transportation modes considering passenger capacity loss. A spatio-temporal network was constructed that includes the fixed passenger train schedule and the high-speed rail express transportation status. Based on this network, an optimization model for transportation schemes considering passenger capacity loss with non-splittable freight flows was developed. The model aims to minimize passenger loss and maximize net revenue from express transportation while comprehensively considering practical constraints such as transfer, loading and unloading, and carrying capacity. The Gurobi optimization solver was used to solve numerical cases, and the optimization results and solution effectiveness were comparatively analyzed under scenarios of sufficient and insufficient capacity.
Robust Human Activity Recognition for Intelligent Transportation Systems Using Smartphone Sensors: A Position-Independent Approach
Authors: Bernardo John Benedict Lazaro , Taparugssanagorn Attaphongse , Miyazaki Hiroyuki , Pati Bipun Man , Thapa Ukesh
Published: November 2024

This study explores Human Activity Recognition (HAR) using smartphone sensors to address the challenges posed by position-dependent datasets. We propose a position-independent system that leverages data from accelerometers, gyroscopes, linear accelerometers, and gravity sensors collected from smartphones placed either on the chest or in the left/right leg pocket. The performance of traditional machine learning algorithms (Decision Trees (DT), K-Nearest Neighbors (KNN), Random Forest (RF), Support Vector Classifier (SVC), and XGBoost) is compared against deep learning models (Gated Recurrent Unit (GRU), Long Short-Term Memory (LSTM), Temporal Convolutional Networks (TCN), and Transformer models) under two sensor configurations. Our findings highlight that the Temporal Convolutional Network (TCN) model consistently outperforms other models, particularly in the four-sensor non-overlapping configuration, achieving the highest accuracy of 97.70%. Deep learning models such as LSTM, GRU, and Transformer also demonstrate strong performance, showcasing their effectiveness in capturing temporal dependencies in HAR tasks. Traditional machine learning models, including RF and XGBoost, provide reasonable performance but do not match the accuracy of deep learning models. Additionally, incorporating data from linear accelerometers and gravity sensors led to slight improvements over using accelerometer and gyroscope data alone. This research enhances the recognition of passenger behaviors for intelligent transportation systems, contributing to more efficient congestion management and emergency response strategies.
Load Monitoring Methods for Controlling Training Effectiveness on Physical Conditioning and Planning Involvement: A Narrative Review
Authors: Macedo Anderson G. , Almeida Tiago A. F. , Massini Danilo A. , de Oliveira David M. , Espada Mário C. , Robalo Ricardo A. M. , Hernández-Beltrán Víctor , Gamonales José M. , Vilela Terra Andréia M. S. , Pessôa Filho Dalton M.
Published: November 2024

Monitoring the training load during training is important for quantifying the demand on psychological and physiological responses. This procedure is achieved through subjective and objective methods applied to the control of the level of training, to the attainment of conditioning and performance goals, and to the prevention of injuries. Training load refers to either external load, such as the variables of speed, distance, accelerations, and decelerations, or internal load, which is related to the psychological and physiological responses during an exercise session or training period (e.g., rating of perceived exertion—RPE; and heart rate—HR). To measure external load, traditional methods include pedometers, accelerometers, global positioning systems, and volume load. For internal load, methods include RPE, training monotony, strain, and impulse, HR, hormonal and biochemical markers, and training diaries and questionnaires. The current review reinforces the assumption that the methods should be combined to improve confidence with the information, mainly when assessing internal load stress during training. Moreover, training load provides an objective assessment of performance levels and involvement in different training phases, thus providing relevant information to analyse strategies for the effectiveness of conditioning progress, performance enhancement, and injury prevention.
Rational Solutions to the Fourth Equation of the Nonlinear Schrödinger Hierarchy
Authors: Gaillard Pierre
Published: November 2024

This study concerns the research of rational solutions to the hierarchy of the nonlinear Schrödinger equation. In particular, we are interested in the equation of order 4. Rational solutions to the fourth equation of the NLS hierarchy are constructed and explicit expressions of these solutions are given for the first order. These solutions depend on multiple real parameters. We study the associated patterns of these solutions in the (x,t) plane according to the different values of their parameters. This work allows us to highlight the phenomenon of rogue waves, such as those seen in the case of lower-order equations such as the nonlinear Schrödinger equation, the mKdV equation, or the Hirota equation.
Advanced Numerical Modeling and Experimental Analysis of Thermal Gradients in Gleeble Compression Configuration for 2017-T4 Aluminum Alloy
Authors: Pantalé Olivier , Muller Yannis , Balcaen Yannick
Published: November 2024

Gleeble thermomechanical simulators are widely utilized tools for the investigation of high-temperature deformation behavior in materials. However, temperature gradients that develop within the specimen during Gleeble compression tests have the potential to result in non-uniform deformation, which may subsequently impact the accuracy of the measured mechanical properties. This study presents an experimental and numerical investigation of the temperature fields in 2017-T4 aluminum alloy specimens prior to Gleeble compression tests at temperatures ranging from 300 °C to 500 °C utilizing uniform temperature distribution (ISO-T) tungsten carbide anvils. The use of multiple thermocouples, welded to both the specimen and anvils, offers valuable insights into the temperature gradients and their evolutions. A coupled thermal–electrical finite-element model was developed in Abaqus for the purpose of simulating the resistive heating process. A user amplitude subroutine (UAMP) is implemented to regulate the heating based on a proportional–integral–derivative (PID) algorithm that modulates the current density to follow the specified temperature profile. The numerical results demonstrate that the temperature gradients within the specimen at the end of the heating process, reaching a temperature of 400 °C, are minimal, with values below 1.9 °C. This is in accordance with the experimental observations. The addition of graphite foils between the specimen and anvils has been shown to effectively reduce the gradients. The use of the measured anvil temperature as a boundary condition, rather than a constant value of 20 °C, has been demonstrated to improve the agreement between the simulated and experimental cooling curves. The modeling approach provides a framework for quantifying temperature gradients in Gleeble compression specimens and for assessing their impact on the measured constitutive response of materials at elevated temperatures.
Impact of Water Ionic Chemistry on Kombucha Fermentation
Authors: Thompson-Witrick Katherine A. , Sundman Olivia , Disselkoen Sadie , Hanson Nicholas , Butler Cheyenne , Jordan Victoria , Galbraith Ian , Spake Jada , Pollock Seiler , Budner Drew M.
Published: November 2024

Kombucha is made by using a symbiotic culture of bacteria and yeast (SCOBY) to ferment sweetened tea. This fermentation produces a beverage with a unique aroma and acidic flavor. Kombucha has recently gained popularity in the United States and has been reported to have numerous health benefits. While there is a wide variation in kombucha composition, little is known about the impact water’s chemistry has on the fermentation and the resulting kombucha. Brewing water for kombucha was altered using the following ions: bicarbonate, chloride, calcium, magnesium, and sulfate at different concentrations. Pre-(tea) and post-(kombucha) fermentation (kombucha) products were analyzed for total acidity, pH, free amino nitrogen (FAN), total phenols, antioxidants, and biological components. A one-way ANOVA was run to determine statistical (p < 0.05) differences between the characteristics analyzed. Statistical differences were observed between the different water chemistry ions for all of the characteristics analyzed. Further investigation into the impact water chemistry has on flavor analysis is required. The information obtained from this research can be used to help producers to make kombuchas with an optimized chemical profile and improved antioxidant potentials.