bluuebunny/crossref_metadata_2025_split huggingface dataset:
An indoor airflow distribution predictor using machine learning for a real-time healthy building monitoring system in the tropics
Authors: Faridah Faridah , Utami Sentagi Sesotya , Wijaya Dinta Dwi Agung , Yanti Ressy Jaya , Putra Wahyu Sukestyastama , Adrian Billie 
Published: February 2024

Indoor air quality is the foundation of a good indoor environment. The COVID-19 pandemic further highlighted the importance of providing real-time airflow distribution information within the Building Environmental Monitoring System (BEMS) to minimize the risk of infectious airborne transmission. This paper discusses the process of developing a predictive model for indoor airflow distribution prediction with indoor and outdoor input parameters using machine learning and its implementation in healthy BEMS for a classroom in the tropical climate region of Yogyakarta, Indonesia. This paper encompassed field measurement and simulation involving outdoor climate conditions and the operational status of the classroom’s windows, Air Conditioning units, and fans. Three machine learning models were constructed using OLS, LASSO, and Ridge methods. Datasets for the modeling were generated from CFD model simulations in IES VE and were assessed for correlation. The mean temperature and velocity differences between the CFD model simulation and measurement results are 0.21°C and 0.083 m/s, respectively. Outdoor climate conditions and the operational status of the classroom’s utilities significantly influence the indoor airflow distribution characteristics. The three models indicate a relatively poor performance, where the classroom had a relatively low sensitivity to input changes. However, the best model performance was achieved using the LASSO method, with average values from post-normalization of [Formula: see text] and Root Mean Square Error (RMSE) of 0.336 and 0.077, respectively. The model was implemented in healthy BEMS on the “Platform for Healthy and Energy Efficient Building Management System.” Practical Application: This research proposed a machine learning model of indoor airflow characteristics of a classroom in Yogyakarta. The proposed model can be adapted to produce monitoring systems that best represent the related conditions. The method can be adopted to develop a relatively simple, low-cost sensor or model to monitor an indoor environment. Future studies may explore the results of the real-world implementation in a case study.
Exploring and Evaluating the Two-Factor Model of Perfectionism in Sport
Authors: Hill Andrew P. , Madigan Daniel J. , Curran Thomas , Jowett Gareth E. , Rumbold James L 
Published: February 2024

Perfectionism is a multidimensional personality trait with two higher-order dimensions; perfectionistic strivings and perfectionistic concerns. The purpose of the present study was to explore and evaluate the two-factor model for the first time using three instruments developed to measure perfectionism in sport. In doing so, we (i) assessed the fit of two-factor models when including and excluding various contentious subscales (other-oriented perfectionism, parental pressure, coach pressure, organisation, and negative reactions to imperfection) and (ii) compared two-factor models to alternative one-factor (or unidimensional) models. Participants were recruited from community and university sports clubs in the UK ( N = 527; M age = 18.07 years, SD = 0.49) and completed the Sport-Multidimensional Perfectionism Scale-2, the Multidimensional Inventory of Perfectionism in Sport, and the Performance Perfectionism Scale-Sport. Support was found for the two-factor model, with superior fit displayed each time the aforementioned subscales were excluded and, in all cases, when compared to a unidimensional model. The findings suggest that the two-factor model is an adequate representation of the underlying structure of instruments designed to measure perfectionism in sport with better fit and conceptual clarity offered by more parsimonious models.
Social support as a mediator between mental health and stigma among newly HIV-positive men who have sex with men
Authors: Zhao Yafang , Khoshnood Kaveh , Sheng Yu 
Published: February 2024

Objectives The sociocultural context of China gives rise to unique experiences of HIV-related stigma and adverse impacts on mental health among men who have sex with men (MSM) living with HIV. However, few studies have explored the stigma among families in the cultural context of China and the role of social support as a mediator to explain how HIV-related stigma results in poor psychological well-being. This study aims to test the mediating effect of social support between HIV-related stigma and family stigma on the mental health of MSM. Methods This cross-sectional study recruited newly MSM with HIV in two cities (Beijing and Wuhan) in China as participants from February 2021 to August 2022. A total of 257 MSM with HIV were recruited for the study. The mediating effects were examined using mediation models (SAS PROC CAUSALMED). Results The overall total effect of HIV-related stigma on mental health was β = −1.483 (bootstrap 95% CI = −1.881, −1.104 p < 0.001), and the mediating effect of social support was β = −0.321 (bootstrap 95% CI = −0.571, −0.167 p = .001). A higher level of stigma from family predicts lower mental health with an overall total effect of β = −1.487 (bootstrap 95% CI = −1.823, −1.101 p < 0.001), while the indirect effect (mediation effect) of social support on mental health is β = −0.281 (bootstrap 95% CI = −0.477, −0.142 p = .003). Conclusions Given the mediating effect of social support on mental health, programs enhancing social support and decreasing stigmatization should be designed to improve the mental health of MSM with HIV, the interventions are needed at both the family and community levels. Public health campaigns in China that frame HIV and same-sex behavior as chronic issues and normal phenomena can correct misinformation related to HIV and MSM that leads to stigma and negative emotional reactions.
Survival Status and Predictors of Mortality Among Low-birth-weight Neonates in Southern Ethiopia: A Prospective Follow-up Study
Authors: Nigussie Jemberu , Girma Bekahegn , Mulugeta Tewodros , Sibhat Migbar , Molla Alemayehu 
Published: February 2024

Background Due to anatomical and physiological immaturity low-birth-weight (LBW) neonates are at risk for different complications which may lead to death at a specified period after birth. Therefore, this study aimed to assess the survival rate and predictors of mortality among LBW neonates. Methods A hospital-based prospective cohort study design was conducted among 768 LBW neonates. The Cox proportional hazard model was used to identify predictors of mortality among LBW neonates. Result The mortality rate of low birth weight was 38.8 (95% CI: 33.9–44.3) per 1,000 child-day observations. Parity (AHR = 1.47 [95% CI: 1.06–2.05]), Birth weight <1000 gram (AHR = 4.70 [95% CI: 2.36–9.35]), Birth weight <1500 gram (AHR = 1.62 [95% CI: 1.16–2.27]), Neonatal sepsis (AHR = 2.41 [95% CI: 2.25–2.91]), Birth asphyxia (AHR = 1.46 [95% CI = 1.02–2.08]), Kangaroo mother care (KMC) (AHR = 0.35 [95% CI: 0.24–0.49]), were statistically significantly associated with mortality. Conclusions The findings of this study revealed that the incidence rate of mortality among LBW neonates was high. Practising KMC for all LBW neonates and appropriate treatment of neonatal sepsis and birth asphyxia were strongly recommended to reduce mortality among LBW neonates.
Impact of Channel Co-opetition and Taxes on a Multinational Firm’s Resilient Local Production Decision
Authors: Niu Baozhuang , Liu Yaoqi , Jin Yong , Wang Xin , Yue Xiaohang 
Published: February 2024

Relevance: In this article, we focus on the decision of a multinational firm (MNF) on production strategies under the influence of national culture. The national culture of a country can result in a high preference for openness or self-reliance, and such a preference changes over time. The related government policies have a strong impact on the MNF’s decision whether to produce overseas and sell products in the domestic market or produce locally for domestic selling. Theory and methodology: We build a game-theoretical model comprising an MNF and a local retailer to investigate the MNF’s preference for production strategies with the consideration of the influence of national culture. Practice of the research: We find that when the factory establishment variable cost is low and the fixed cost is in a moderate range, the MNF’s preference over production strategies switches twice from local production to overseas production and then back to local production, as the channel substitutability increases. Interestingly, when the factory establishment variable cost is low and the fixed cost is high, the MNF’s preference is heavily dependent upon the tax disparity, exhibiting a threshold policy based on the channel substitutability. Our findings provide important insights for the MNFs into utilizing the national-culture-oriented tax policies and channel substitutability when establishing factories in foreign countries. We also reveal that the preferential local manufacturing policies originated from a high cultural preference for self-reliance may not attract more MNFs, which negatively impacts the policy effectiveness.
Making Early and Accurate Deep Learning Predictions to Help Disadvantaged Individuals in Medical Crowdfunding
Authors: Wang Tong , Jin Fujie , Hu Yu Jeffrey , Feng Lu , Cheng Yuan 
Published: February 2024

Medical crowdfunding is a popular channel for people seeking financial assistance to cover their medical expenses, allowing them to collect donations from a large number of donors. However, a mismatch between the supply and demand of donations creates large heterogeneity in the fundraising outcomes across medical crowdfunding campaigns, and such uncertainty can impede the timely planning of treatment for patients. Providing early and accurate forecasts for medical crowdfunding performance can better inform fundraisers and assist them in optimizing timely interventions to improve fundraising outcomes. In this study, we propose a new approach that effectively combines time-varying features and time-invariant features in a deep learning model, to provide dynamic predictions of fundraising outcomes. When compared with a comprehensive set of baseline models, our model consistently demonstrates higher predictive accuracy while requiring a shorter observation window of data, thus achieving both accurate and early prediction objectives. We further conduct a temporal clustering analysis to analyze the heterogeneous patterns in how the time-varying features relate to fundraising outcomes. In addition, we perform simulation analyses to demonstrate that interventions from fundraisers can significantly improve the fundraising performance of disadvantaged cases that are predicted to receive the lowest donation amounts, particularly when the interventions are implemented early. These findings show that our deep learning prediction model and the actionable insights can provide timely feedback to fundraisers and promote equal access to resources for all. Our proposed approach is applicable to various contexts, enabling effective processing of diverse sources of data and facilitating early interventions.
When Gray Markets Meet “Made in China”: The Impacts of Global Markets and Value-Added Tax Refund
Authors: Jiang Zhong-Zhong , Zang Yuanji , Xu Jiayan 
Published: February 2024

Motivated by the trend that a gray market such as overseas shopping is thriving on E-commerce platforms, this paper investigates the impacts of the gray market on global supply chain management. We consider a multinational firm (MNF) that outsources product manufacturing to a contract manufacturer (CM) in China and sells products in both the China market and overseas market. Owing to the price gap between the two markets, gray firms may purchase products in the low-price market and compete with the MNF in the high-price market. We build MNF-led Stackelberg game models under the two cases where the wholesale price between the CM and MNF is exogenously given or endogenously set by the CM. We also consider the impacts of China’s partial value-added tax (VAT) refund policy and consumers’ valuation discount for gray products. Our analysis shows that the gray market emerges if the two markets are highly asymmetric in size. Moreover, the gray market is more likely to emerge with lower values of valuation discount, substitutability, and VAT loss. We find that both the MNF and CM may be better off with the emergence of the gray market. When the gray market does not emerge but poses a threat, the MNF strategically adjusts her global pricing strategy to prevent the gray market. In this case, the threat of the gray market always hurts the MNF and CM under exogenous wholesale price, but may improve the MNF’s profit under endogenous wholesale price, since the CM is motivated to lower wholesale price to restore demand.
Prenatal Metal Exposures and Child Social Responsiveness Scale Scores in 2 Prospective Studies
Authors: Yu Emma X , Dou John F , Volk Heather E , Bakulski Kelly M , Benke Kelly , Hertz-Picciotto Irva , Schmidt Rebecca J , Newschaffer Craig J , Feinberg Jason I , Daniels Jason , Fallin Margaret Daniele , Ladd-Acosta Christine , Hamra Ghassan B 
Published: February 2024

Background:Prenatal exposure to metals is hypothesized to be associated with child autism. We aim to investigate the joint and individual effects of prenatal exposure to urine metals including lead (Pb), mercury (Hg), manganese (Mn), and selenium (Se) on child Social Responsiveness Scale (SRS) scores.Methods:We used data from 2 cohorts enriched for likelihood of autism spectrum disorder (ASD): Early Autism Risk Longitudinal Investigation (EARLI) and the Markers of Autism Risk in Babies-Learning Early Signs (MARBLES) studies. Metal concentrations were measured in urine collected during pregnancy. We used Bayesian Kernel Machine Regression and linear regression models to investigate both joint and independent associations of metals with SRS Z-scores in each cohort. We adjusted for maternal age at delivery, interpregnancy interval, maternal education, child race/ethnicity, child sex, and/or study site.Results:The final analytic sample consisted of 251 mother-child pairs. When Pb, Hg, Se, and Mn were at their 75th percentiles, there was a 0.03 increase (95% credible interval [CI]: −0.11, 0.17) in EARLI and 0.07 decrease (95% CI: −0.29, 0.15) in MARBLES in childhood SRS Z-scores, compared to when all 4 metals were at their 50th percentiles. In both cohorts, increasing concentrations of Pb were associated with increasing values of SRS Z-scores, fixing the other metals to their 50th percentiles. However, all the 95% credible intervals contained the null.Conclusions:There were no clear monotonic associations between the overall prenatal metal mixture in pregnancy and childhood SRS Z-scores at 36 months. There were also no clear associations between individual metals within this mixture and childhood SRS Z-scores at 36 months. The overall effects of the metal mixture and the individual effects of each metal within this mixture on offspring SRS Z-scores might be heterogeneous across child sex and cohort. Further studies with larger sample sizes are warranted.
Complications of operatively treated distal radial fractures
Authors: Townsley Sarah H. , Pulos Nicholas , Shin Alexander Y. 
Published: February 2024

Distal radial fractures represent the most common fractures of the upper extremity. Operative treatment is performed for approximately one-third of distal radial fractures in the adult population. Complications following operative treatment of distal radial fractures vary depending on the treatment modality and can be stratified into preoperative and postoperative complications. Complications can occur in the near, intermediate and long term. The most common complications seen are tendon irritation and rupture, chronic regional pain syndrome (CRPS), carpal tunnel syndrome, ulnar or radial neuropathy, compartment syndrome, malunion, inadequate fixation or loss of fixation, symptomatic hardware, post-traumatic arthritis, stiffness and infection. Careful planning, treatment and patient selection can help to mitigate these complications. Level of evidence: V
Central aspects when implementing an electronic monitoring system for assessing hand hygiene in clinical settings: A grounded theory study
Authors: Granqvist Karin , Ahlstrom Linda , Karlsson Jon , Lytsy Birgitta , Erichsen Annette 
Published: February 2024

Background New technologies, such as electronic monitoring systems, have been developed to promote increased adherence to hand hygiene among healthcare workers. However, challenges when implementing these technologies in clinical settings have been identified. Aim The aim of this study was to explore healthcare workers’ experiences when implementing an electronic monitoring system to assess hand hygiene in a clinical setting. Method Interviews with healthcare workers (registered nurses, nurse assistants and leaders) involved in the implementation process of an electronic monitoring system ( n = 17) were conducted and data were analyzed according to the grounded theory methodology formulated by Strauss and Corbin. Results Healthcare workers’ experiences were expressed in terms of leading and facilitating, participating and contributing, and knowing and confirming. These three aspects were merged together to form the core category of collaborating for progress. Leaders were positive and committed to the implementation of the electronic monitoring system, endeavouring to enable facilitation and support for their co-workers (registered nurses and nurse assistants). At the same time, co-workers were positive about the support they received and contributed by raising questions and demands for the product to be used in clinical settings. Moreover, leaders and co-workers were aware of the objective of implementing the electronic monitoring system. Conclusion We identified dynamic collective work between leaders and co-workers during the implementation of the electronic monitoring system. Leadership, participation and knowledge were central aspects of enhancing a collaborative process. We strongly recommend involving both ward leaders and users of new technologies to promote successful implementation.
Cerebral Venous Sinus Thrombosis Following Scrub Typhus Meningoencephalitis in a Pregnant Woman
Authors: Biswas Uttam , León-Ruiz Moisés , Ghosh Ritwik , Sarkar Ritun , Sen Moumita , Benito-León Julián 
Published: February 2024

Background Scrub typhus, a mite-borne zoonosis caused by Orientia tsutsugamushi, is prevalent in the Asia Pacific region and presents with various neurological manifestations, including meningoencephalitis, polyneuropathy, and, rarely, cerebral venous sinus thrombosis (CVST). Case Report We report a unique case of CVST following scrub typhus meningoencephalitis in an 18-year-old pregnant woman from West Bengal, India. Her condition was complicated by fever, headache, neck stiffness, and altered sensorium. Laboratory tests revealed leukopenia and thrombocytopenia, while serologies for other infectious diseases were negative. Cerebrospinal fluid analysis was significant for lymphocytic pleocytosis and elevated protein, with a positive O tsutsugamushi-IgM assay. Treatment with azithromycin resulted in initial improvement; however, persistent headaches led to the discovery of CVST. The patient responded well to anticoagulation therapy with low molecular weight heparin and was discharged asymptomatic, with subsequent uneventful pregnancy and delivery. Discussion Cerebral venous sinus thrombosis should be ruled out in pregnant women with refractory scrub typhus meningoencephalitis despite antibiotic therapy. Because scrub typhus is treatable with intravenous doxycycline and azithromycin, it should be considered in the workup of febrile patients with acute onset neurological disorders in the tropics or subtropics or travelers coming back from endemic areas, despite the absence of eschar and unremarkable neuroimaging findings.
The Method of Portal Making in Lumbar Unilateral Biportal Endoscopic Surgery with Different Operative Approaches According to the Constant Anatomical Landmarks of the Lumbar Spine: A Review of the Literature
Authors: Wang Yixi , Maimaiti Abulikemu , Tuoheti Abudusalamu , Xiao Yang , Zhang Rui , Kahaer Alafate , Liu Dongshan , Rexiti Paerhati 
Published: February 2024

Study Design Review. Objective Unilateral Biportal Endoscopy (UBE) is a minimally invasive surgery that is gaining recognition and being employed in clinical practice. Nevertheless, the precise method for determining UBE portals’ location varies depending on the originator’s preferences or the anatomical structure’s proximity to the portal positions. Consequently, the relationship among UBE portals' locations is messy. This study aims to elaborate on the specific portal localization and explore the positional association and commonality among different UBE approaches’ portals. Methods The following keywords are used to search in the PubMed, Ovid, Web of Science, ScienceDirect, SpringerLink, Scopus, CNKI, and Wanfang database: “Biportal endoscopic spinal surgery”, “Two portal endoscopic spinal surgery”, “Percutaneous biportal endoscopic decompression”, “Unilateral biportal endoscopy”, “Irrigation endoscopic discectomy”, “UBE” and “BESS”. Results After screening, 29 pieces of literature are included. The study summarizes different UBE approach portal localizations, categorized by fusion or non-fusion surgery and pathological classification. The study presents an inaugural method for categorizing the lumber into four surgical intervals based on bone landmarks and assigns different UBE approaches to the appropriate intervals based on their characteristics, making the selection of UBE surgical approaches’ portal locations more flexible. Additionally, the study provides an overview of the indications, complications, and distinct benefits associated with each interval, further refining the novel UBE portal interval localization method. Conclusion The study clarifies the interrelationship and commonality between the portals of different UBE approaches and proposes a new UBE portal interval localization method to enhance surgeons’ understanding and proficiency in UBE procedures.
Using design research and human-centered design to address growing pains in a busy, urban emergency department: a faculty, clinician, and student collaboration between nursing, design, and medicine
Authors: Avery Mikael L. , Arena Jacquelyn L. , Benson Nicholas D. , Ray Neil A. , Leary Marion 
Published: February 2024

AbstractIn 2021, a large urban university-based hospital transitioned to a new two-floor emergency department. Despite the new environment, there were usability and workflow challenges with the space. The authors of this paper created a multidisciplinary, human-centered design collaborative of clinicians, university faculty, and students in an effort to increase emergency department efficiency. After thorough design-research and clinician-focused collaboration, the authors and design team identified the need to improve medical supply retrieval time, which directly impacts patient care and clinician satisfaction. The primary interventions consisted of a redesign that is as follows: (a) created standardized icons related to organ system, (b) increased visibility of supply labels, and (c) reorganized supplies based on usage data. Although a successful project, it was not without several barriers discussed in this article, including design researcher and clinician-level setting and engagement, academic/institutional policies, and conflicting schedules. In addition, the lessons learned from implementing human-centered design concepts into clinical workflow sets forth future research opportunities and inspiration for other institutions to collaborate.