bluuebunny/crossref_metadata_2025_split huggingface dataset:
AI and Care for Other(ed) Animals: Art, machine learning, and interspecies futures
Authors: Krauth Alinta 
Published: February 2025

Abstract
This article asks what might be achieved by entangling care for other species with AI model creation in order to attend to ethical concerns surrounding the technological trajectory of animal-human-AI interactions. It argues that before we can teach AI to have caring intentions, we need to teach ourselves radical acts of caregiving. Through a practice-based approach, I deliver a call to action for developing a methodological framework for technological development by using a case study involving animal rehabilitation volunteering. This is exemplified in the The (m)Otherhood of Meep artwork, whose creative process aims to ignite conversations regarding care-full machine learning.
The Shape of “Computime”: How Silicon Valley Time is Becoming Everyone’s Time
Authors: Walker Kevin , Schmid Helga 
Published: February 2025

Abstract
This article presents findings from ethnographic fieldwork in Silicon Valley investigating how computers utilize time and how human engineers and designers use and understand time. We found common themes across computational and human uses of time, including the quantification and calculation of time as a finite resource; the imbalance of clock time versus “event time” and linear versus cyclical time; the perception and reality of the acceleration and fragmentation of time; and an approach to programmability, which is applied to time, people, and the world as a whole. We show how these cultural assumptions become embedded into digital devices.
Obesity-related indices are associated with self-reported infertility in women: findings from the National Health and Nutrition Examination Survey
Authors: Zhang Hong , Yu Minmin , Li Li , Chen Chen , He Qinyuan 
Published: February 2025

Objective Obesity can contribute to infertility, but the exact relationship between infertility risk and obesity-related measurements like waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CoI), and A body shape index (ABSI) in women is uncertain. We investigated the association between these indices and female infertility. Methods In this cross-sectional study, we used National Health and Nutrition Examination Survey data (2013–2018). We used weighted multivariable logistic regression analysis, receiver operating characteristic (ROC) curves, and subgroup analysis, as well as propensity score matching. Results Among 3373 participants, 344 (10.2%) reported infertility. A significant link between higher infertility risk and increased WHtR, BRI, CoI, ABSI, and body mass index (BMI) was found. Multivariable logistic regression analysis showed WHtR (odds ratio [OR] = 1.27, 95% confidence interval [CI]: 1.14–1.42), BRI (OR = 1.09, 95% CI: 1.05–1.14), CoI (OR = 1.36, 95% CI: 1.18–1.56), ABSI (OR = 1.22, 95% CI: 1.12–1.33), and BMI (OR = 1.03, 95% CI: 1.02–1.05) were significantly associated with female infertility. CoI had the best diagnostic performance (area under the ROC curve 0.628, 95% CI: 0.597–0.658). Conclusions Obesity-related indices were positively linked to infertility risk among women in the United States. These indices serve as valuable tools for assessing female infertility risk.
Establishing Benchmarks for Case Minimum Requirements During Accreditation Council for Graduate Medical Education–Accredited Orthopaedic Sports Medicine Fellowship Training
Authors: Silvestre Jason , Slone Harris S. , Kelly John D. 
Published: February 2025

Background: Accrediting bodies and professional societies for surgical education are increasingly recognizing the need for case minimum requirements to enhance standardized training. Purpose: To determine case volume benchmarks for operative training during Accreditation Council for Graduate Medical Education (ACGME)–accredited orthopaedic sports medicine fellowships in the United States. Study Design: Cross-sectional analysis; Level of evidence, 3. Methods: Case volume percentiles were calculated across ACGME-defined case categories and temporal changes analyzed with linear regression. Variability was defined as the fold difference between the 90th and 10th percentiles by case volume. Sensitivity analyses were performed to identify potential targets for case minimum requirements. Results: Case logs from 1281 orthopaedic sports medicine fellows were analyzed. There was an increase in the mean reported case volume over the study period (from 323.3 ± 125.0 to 375.6 ± 144.0; P = .049). Pediatric patients accounted for a minority of cases (annual range, 6%-7%). The bottom 10th and 30th percentiles of fellows reported a total of 179 and 239 cases, respectively. Most cases were reported in the rotator cuff (29%), meniscus (26%), and knee instability (21%) categories. Variability in the reported case volume was greatest in hip arthroscopic surgery (37.0), patellofemoral instability (15.5), the foot and ankle (12.9), and elbow instability (10.7). Variability decreased for knee instability ( P = .006) and total ( P = .028) cases over the study period but increased for foot and ankle ( P = .002), knee multiligament repair/reconstruction ( P = .008), and knee osteotomy ( P = .025) cases. Conclusion: Surgical benchmarks can assist future trainees and faculty identify areas to improve the operative experience and reduce variability during fellowship training. The operative experience of recent fellows suggests a potential case minimum target between 179 and 239 cases to achieve the 10th and 30th percentiles, respectively. However, further research is needed to establish evidence-based case minimum requirements for ACGME-accredited orthopaedic sports medicine fellowship training.
Is there a correlation between urodynamics findings and clinical outcomes in females with idiopathic overactive bladder syndrome (OAB)
Authors: Abushamma Faris , Bishara Mais , Holy Mhmod , Obeidat Sandy , Egbaria Mobarak , Abu Alwafa Rola , Aghbar Amir , Hashim Hashim 
Published: February 2025

Introduction: This study investigates the intricate relationship between urodynamic findings and clinical symptoms in females with overactive bladder (OAB). Methods: A retrospective cohort study, conducted at a tertiary university hospital, included female patients with positive detrusor overactivity (DO) OAB between November 2020 and November 2023. Patient demographics, OAB symptoms, and responses to anticholinergic treatment were recorded. Different Urodynamic features were analyzed. Results: A total of 92 female patients with positive detrusor overactivity (DO) and overactive bladder (OAB) were included. The median age was 49 years (IQR: 30.75–61.75). Among them, 16 (17.4%) were diabetic, 18 (19.6%) had hypertension, and 69 (75%) were regular coffee drinkers. Over half of the participants, 56 (60.9%), were overweight (BMI 25–29.9). The prevalence of key symptoms included frequency in 54 (58.7%), urgency in 73 (79.3%), urgency incontinence in 33 (35.9%), and nocturia in 44 (47.8%). Frequency of urination was more common among non-diabetic patients (41/54, 75.9%; p = 0.04), and urgency was significantly associated with non-smoking status (51/73, 69.9%; p = 0.025). Most patients (84, 91.3%) had phasic DO, with a median maximum detrusor pressure (Pdet DO) of 30 cmH2O (IQR: 20.0–53.0) and a median cystometric capacity of 385.5 mL (IQR: 296.25–443.75). Frequency was significantly associated with higher maximum Pdet DO pressure ( p = 0.049). In terms of treatment response, 81 patients (88.0%) demonstrated a good response to anticholinergic therapy. Non-responders had significantly higher maximum Pdet DO pressure (median 59.0 cmH2O, IQR: 30.0–66.0) compared to responders (median 30.0 cmH2O, IQR: 19.5–47.0; p = 0.013). Conclusion: The amplitude of DO in female with idiopathic OAB is theoretically and clinically correlated to symptomatology and response to anticholinergic treatment.
Revisiting the Infrastructure–Industrialisation Nexus in Africa: Economic Uncertainty Contingent and Thresholds
Authors: Ketu Isaac , Tchapchet-Tchouto Jules-Eric 
Published: February 2025

Does infrastructure development help African countries boost their currently weak industrial structure to meet with pressing needs of their growing population? Answering this question which is also the ambition of SDG 9 requires taking into account rising global uncertainty which provokes a ‘wait-and-see’ behaviour in production and consumption expenditures. To this end, the new World Uncertainty Index and data on 43 African countries from 2003 to 2018 are used. The two-step system generalised method of moments modelling framework was recruited for regression analysis. Results show that while infrastructure development boost industrialisation in Africa, global economic policy uncertainty and risk of uncertainty undermine these benefits after a given uncertainty threshold. The positive net effects were apparent up to respective global uncertainty and uncertainty volatility thresholds where these effects are nullified. When disaggregated proxies of infrastructure are used, similar results are obtained with transport and electricity. Practical policy implications are discussed. JEL Codes: C23, D8, H54, O14, O55
Design, development and ergonomic evaluation of a manual cutter for mat-type paddy nursery based on a human-centered approach
Authors: Lohan Shiv Kumar , Narang Mahesh Kumar , Singh Ajaib , Dixit Anoop Kumar 
Published: February 2025

Background The cutting operation of the mat-type paddy nursery for mechanical transplanting poses significant human postural challenges, leading to potential health risks for farmers. Objective A nursery cutter was designed, developed and evaluated considering the ergonomic guidelines for the human farm workers. Methods Anthropometric dimensions of 5th and 95th percentile of the Indian Agricultural workers was considered for the design of nursery cutter. The total length of cutter 1205 mm aligns with 80% of the 95th percentile male acromial height ensuring operator comfort. Additionally, a 413 mm handle crossbar length (95th percentile female elbow-elbow breadth) and a 280 mm width (5th percentile for both genders) were selected for ergonomic compatibility and ease of operation. Computer-aided design with human manikin was simulated for the postural evaluation. Results The developed equipment could achieve a cutting capacity of 325–425 mats/ h with uniform cutting. The cost comparison analysis revealed that cutting mats for one hectare with the manual nursery cutter was significantly lesser (INR 71.00–89.00) than using a sickle/knife (INR 162.00–202.00) or an indigenous cutter (INR 146.00–172.00). Physiological results of workers showed that heart rates, oxygen consumption rate and energy expenditure rate ranged from 104–120 bpm, 0.66–0.88 l/min, and 13.7–18.37 kJ/min, respectively, indicating that the physical demands on workers were within moderate limits rather than heavy workload as in case of other conventional methods. Conclusions Adopting ergonomic design equipment, the PAU manual nursery cutter can potentially enhance productivity, timeliness in operation, reduce operator fatigue, and mitigate health risks associated with nursery cutting operations.
Quantifying the impact of occupational stress on long-term sickness absence due to mental disorders
Authors: Iwasaki Shinichi , Deguchi Yasuhiko , Okura Shohei , Maekubo Kunio , Inoue Koki 
Published: February 2025

Background Work-related stressors are a significant predictor of long-term sickness absence due to mental disorders (LTSA-MD) issues. Objective To examine the relationship between work-related stressors and LTSA-MD among Japanese public servants. Methods A retrospective cohort study design was utilized, analyzing data from public servants in City A, Japan, who underwent mandatory annual stress checks from 2011 to 2020. The study focused on LTSA-MD instances lasting over three months due to mental disorders. The Brief Job Stress Questionnaire (BJSQ) was employed to measure occupational stress factors. Cox Hazard Models adjusted for demographic and occupational variables were used to examine the relationship between BJSQ sub-items and the onset of LTSA-MD. Results Among the 1026 LTSA-MD instances identified, an association was found between the scores of job stressors, stress responses, and job satisfaction of BJSQ with increased LTSA-MD risk, whereas social occupational support was not related. Conclusions The findings highlight the critical role of occupational stress, stress response, and job satisfaction in predicting LTSA-MD among Japanese public servants. Mitigating these factors could significantly reduce the risk of LTSA-MD, underscoring the importance of implementing targeted workplace interventions.
Assessing stress among community health workers due to COVID-19 related work: A comparative study from Vietnam
Authors: Hoang Thi Ngoc Anh , Quach Ha-Linh , Hoang Ngoc Van , Nguyen Khanh Cong , Pham Thai Quang , Vogt Florian 
Published: February 2025

Background Community health workers (CHWs) involved in COVID-19 response might be at increased risk of stress, though evidence remains absent. Objective To assess the effects of COVID-19 related work on stress and identified factors associated with the risk of deteriorating to severe stress among CHWs in Vietnam. Methods Using a nation-wide survey among 979 CHWs involved in COVID-19 response, we applied multivariable logistic regression to estimate the risk of deteriorating to high stress levels between before the epidemic (average June–December 2019) and at its peak (January–March 2021). Stress levels were measured using the Perceived Stress Scale (PSS-10). Results Median stress levels among CHWs increased from 10 (IQR = 7–16) before COVID-19 to 15 (IQR = 11–19) on the PSS-10 during the COVID-19 outbreak. The proportion of CHWs with low stress levels decreased from 67.6% to 42.2% (p-value <0.001), while the proportion of CHWs with moderate and high stress levels increased 1.8 and 4.2-fold, respectively. Less sleep and poor sleep quality, working in unfavorable work environments, and being involved in daily high-risk SARS-CoV-2 exposure activities were associated with an increased risk of deterioration to high stress levels. Conclusions We found a substantial increase in stress levels among CHWs in Vietnam that is probably due to their COVID-19 related work; the observed 2 and 4-fold increase in CHWs suffering from moderate and high stress levels, respectively, is particularly worrisome. Targeted support for CHWs is crucial to ensure the sustainability of health interventions during COVID-19 and future epidemics.
Musculoskeletal pain and risk factors in office workers versus teleworkers: A systematic review
Authors: Alencar Maria do Carmo Baracho de , da Silva Nilson Rogério , Serranheira Florentino 
Published: February 2025

Background Musculoskeletal pain is common in office workers and teleworkers, but the causes remain not enough visible in society. Objective This systematic review examines main risk factors for work-related musculoskeletal disorder (WRMSD) in office workers versus teleworkers. Methods PubMed/ Medline, Scopus and Web of Science databases were searched using keywords based on the theme, CoCoPop was used to define the inclusion criteria, also used the PRISMA guidelines, the QuADs tools to evaluate the quality of the studies, risk of bias analyses was done with the Navigation Guide for Systematic Reviews in environment and occupational health. Results Of 468 studies identified, 17 were included in the final selection. Both office workers and teleworkers have working conditions at risk of developing or aggravating MSD, but results highlighted the poor teleworkers workplaces, ICT equipment's as laptops, psychosocial and organizational demands that increased the working time and family conflicts, and environmental risk factors associated to teleworkers increased WRMSD symptoms/pain. Conclusions This review underline the lack of appropriate working conditions at home and that is a contribute for increasing WRMSD pain in teleworkers. Employers should give more importance ensuring ergonomic workplace at teleworkers home, including also worker's organizational companies support.
Safety climate, safety behavior, injury experience, and musculoskeletal disorders among Iranian manufacturing employees: A structural equation modeling study
Authors: Ghahramani Abolfazl , Panahi Saghar , Ebrahimi Mahbob , Hajaghazadeh Mohammad 
Published: February 2025

Background While safety climate and performance are extensively studied, few research studies have explored the relationship between safety climate and both retrospective and prospective indicators of safety performance. Objective This study aims to investigate the relationships between safety climate, safety behavior, musculoskeletal disorder (MSD) symptoms, and injury experience in manufacturing using structural equation modeling (SEM). Methods The study enrolled 409 employees from 15 manufacturing companies in Urmia, Iran in 2021. Data were collected using safety climate, safety behavior, and Nordic musculoskeletal disorders questionnaires. Occupational injury experiences from the past year were also recorded. SEM was used to analyze safety climate's relationships with performance variables. Results A positive relationship was observed between safety climate and safety behavior (r = 0.38, p < 0.01). Symptoms of MSD correlated significantly with safety climate (r = −0.12, p < 0.05) and injury experience (r = 0.10, p < 0.05). A significant association was found between safety climate and safety behavior factors in the first model (ß = 0.19, p = 0.001). The overall fit indices for the proposed model were acceptable. SEM confirmed a significant association between safety climate and safety behavior (ß = 0.20, p = 0.001). However, no relationship was found between safety climate/behavior and injury experience or MSD symptoms. Conclusions The safety climate influenced safety behavior but had no effect on employees’ self-reported injuries or MSD symptoms. Enhancing workplaces safety climate could prevent unsafe behaviors. This study recommends exploring the association between safety climate and safety performance indicators, considering potential mediators and moderators.
Back to work again: Survival analysis of factors promoting return after industrial accidents
Authors: Kang Dongsuk 
Published: February 2025

Backgrounds Since 2022, South Korea has enacted the “Serious Accident Punishment Act” to enhance the safety of industrial workers. However, serious industrial accidents have continued to occur since the Act's implementation. The COVID-19 pandemic has seen an increase in both the number and severity of these accidents. This highlights the need for better policies to prevent accidents and provide comprehensive medical and social support for injured workers. Objectives This study examines how different factors (e.g., policies, personal efforts, and demographic factors) affect the time it takes for workers injured in industrial accidents to return to their jobs. Methods This research utilized the Cox hazards model to examine the factors using data from the Panel Study of Workers’ Compensation Insurance (2018–2020). Results The study found that several factors (e.g., experience with vocational rehabilitation services, living in large cities, having a higher disability rating, and being younger) helped workers return to their jobs more quickly. Conclusions Our findings suggest that younger workers living in big cities with access to vocational rehabilitation services can return to work faster. This study also emphasizes the need for stronger policies to support older workers in rural areas. As South Korea's population ages and more young people move to cities, these challenges will become even more pressing.
The relationship between artificial intelligence anxiety and unemployment anxiety among university students
Authors: Uçar Mehmet , Çapuk Hüseyin , Yiğit Muhammet Faruk 
Published: February 2025

Background The idea that people will lose their jobs because of robots with artificial intelligence is one of the biggest recent concerns about artificial intelligence technology. There are predictions that unemployment will increase with the introduction of robots into the business sector, and due to artificial intelligence, automation in the production sector will make work completed by robots more practical than the efforts accomplished by humans. Objective This study aimed to assess the correlation between artificial intelligence anxiety and the level of unemployment anxiety among university students. Methods As a cross-sectional and descriptive study, the population comprised of 10,682 university students actively enrolled at a university. While the minimum sample size was calculated as 371 students, the research included 476 students as participants. The study used the ‘Personal Information Form’, ‘Artificial Intelligence Anxiety Scale’, and ‘Unemployment Anxiety Scale’ as data collection tools. Results The demographic information of the participants follows: 50.4% were male, 33.8% were freshmen, and 96.2% were single. The total score averages for the Artificial Intelligence Anxiety Scale and Unemployment Anxiety Scale are 56.00 ± 15.51 and 53.52 ± 11.55, respectively. A statistically significant difference between the participants’ score averages on the Artificial Intelligence Anxiety Scale and the Unemployment Anxiety Scale was identified for gender, major/college, trust in technology, and use of artificial intelligence ( p < 0.05). There was a moderately positive relationship between artificial intelligence anxiety and unemployment anxiety level total score averages ( p < 0.01). Conclusions There were high scores among participants for artificial intelligence anxiety and unemployment anxiety.
Fatigue induced by combined exposure to noise and whole-body vibration under simulated off-road heavy equipment driving conditions
Authors: Golhosseini Seyyed Mohammad Javad , Aliabadi Mohsen , Golmohammadi Rostam , Farhadian Maryam , Akbari Mehdi , Samavati Mehdi 
Published: February 2025

Background Fatigue, a complex state of lack of alertness, contributes to accidents, injuries, and death in different conditions. Previous research has studied the effects of noise and whole-body vibration (WBV) exposure on fatigue separately; however, there is little information about fatigue induced by combined exposure. Objective This experimental study aimed to investigate the combined effects of exposure to noise and WBV on fatigue. Methods Thirty young male participants were assessed for fatigue resulting from combined exposure to noise (85 dB) and WBV (0.87 and 1.3 m/s2) during five scenarios under simulated off-road heavy equipment driving conditions. Fatigue level was measured based on brain electrical activities as objective fatigue indicator and self-reported perceptions as subjective feeling of fatigue. Results The results showed significant differences in the participants’ objective and subjective fatigue after exposure to noise and/or WBV (p < 0.05). Single noise exposure affected the participants’ objective fatigue the least while combined exposure to noise and WBV affected the participants’ fatigue the most with effect sizes 0.465 and 0.868, respectively. There was a high correlation between objective and subjective fatigue measures (r = 0.826, p < 0.05). The findings demonstrated that subjective fatigue increased more in combined exposure to noise and WBV compared to separate exposure to the agents (p < 0.05). Conclusions It can be concluded that some interaction effects can occur in fatigue level in co-exposure to noise and WBV. It is verified that combined or even multiple exposures of drivers to harmful agents can be used in setting the action limit values.