bluuebunny/crossref_metadata_2025_split huggingface dataset:
Stochastic thermodynamics of a probe in a fluctuating correlated field
Authors: Venturelli Davide , Loos Sarah A. M. , Walter Benjamin , Roldán Édgar , Gambassi Andrea 
Published: March 2024

Abstract
We develop a framework for the stochastic thermodynamics of a probe coupled to a fluctuating medium with spatio-temporal correlations, described by a scalar field. For a Brownian particle dragged by a harmonic trap through a fluctuating Gaussian field, we show that near criticality (where the field displays long-range spatial correlations) the spatially-resolved average heat flux develops a dipolar structure, where heat is absorbed in front and dissipated behind the dragged particle. Moreover, a perturbative calculation reveals that the dissipated power displays three distinct dynamical regimes depending on the drag velocity.
874 Comparative Study on the Efficacy of Optic Nerve Decompression Through Pterional and Supraorbital Approaches in the Treatment of Progressive Completely Blind Traumatic Optic Neuropathy
Authors: Liao Chenlong , Zhang Wenchuan 
Published: March 2024

INTRODUCTION:
Traumatic optic neuropathy (TON) is a serious complication of craniomaxillofacial trauma that directly or indirectly damages the optic nerve and cause different degrees of visual impairment. The role of optic nerve decompression (OND) in treating TON remained inconclusive.

METHODS:
Patients with progressive completely blind TON treated with OND through pterional and supraorbital approach in our institute by one surgeon from September 2019 to June 2022 were retrospective reviewed in this study. Demographic information, trauma factors, interval between trauma and complete blind, interval between trauma and surgery, and preoperative CT findings were recorded. Hospitalization days and the postoperative visual acuity of patients in two groups were compared.

RESULTS:
There are 54 patients included in this study, 21 patients underwent OND through pterional approach, and the others underwent supraorbital approaches. Male patients are more common than female in both groups. Respectively, in groups of pterional and supraorbital approaches, the average hospitalization days were 9.8 ± 2.4 and 10.7 ± 2.9, the mean durations of follow-up are 20.1 ± 4.2 and 21.4 ± 3.1 months, respectively. The number of patients underwent pterional approach who improved their visual acuity to light perception and digit counting, respectively, is nine (42.9%) and three (14.3%). In group of supraorbital approach, the number is 9 (27.3%) and 6 (18.2%), respectively. The overall improvement rates of pterional and supraorbital approaches is 57.1% and 45.5%, and no significant difference was noted (P=0.40).

CONCLUSIONS:
Patients with progressive completely blind traumatic TON can benefit from OND. No significant difference was noted regarding to the improvement rates of OND through pterional and supraorbital approaches in the treatment of progressive completely blind TON in this study.
Temporally distinct roles of Aurora A in polarization of the C. elegans zygote
Authors: Manzi Nadia I. , de Jesus Bailey N. , Shi Yu , Dickinson Daniel J. 
Published: March 2024

ABSTRACT
During asymmetric cell division, cell polarity is coordinated with the cell cycle to allow proper inheritance of cell fate determinants and the generation of cellular diversity. In the Caenorhabditis elegans zygote, polarity is governed by evolutionarily conserved Partitioning-defective (PAR) proteins that segregate to opposing cortical domains to specify asymmetric cell fates. Timely establishment of PAR domains requires a cell cycle kinase, Aurora A (AIR-1 in C. elegans). Aurora A depletion by RNAi causes a spectrum of phenotypes including reversed polarity, excess posterior domains and no posterior domain. How depletion of a single kinase can cause seemingly opposite phenotypes remains obscure. Using an auxin-inducible degradation system and drug treatments, we found that AIR-1 regulates polarity differently at different times of the cell cycle. During meiosis I, AIR-1 acts to prevent later formation of bipolar domains, whereas in meiosis II, AIR-1 is necessary to recruit PAR-2 onto the membrane. Together, these data clarify the origin of multiple polarization phenotypes in RNAi experiments and reveal multiple roles of AIR-1 in coordinating PAR protein localization with cell cycle progression.
Mass Participation and Tournament Event Management for the Team Physician: A Consensus Statement (2022 Update)
Authors: HERRING STANLEY A. , KIBLER W. BEN , PUTUKIAN MARGOT , BLAUWET CHERI , BOYAJIAN-O'NEILL LORI A. , BOYD JOEL , FRANKS R. ROB , INDELICATO PETER A. , LECLERE LANCE E. , LOGAN CATHERINE , O’CONNOR FRANCIS G. , MATUSZAK JASON , ROBERTS WILLIAM O. , SALLIS ROBERT 
Published: March 2024

ABSTRACT
Mass participation events include endurance events (e.g., marathon, triathlon) and/or competitive tournaments (e.g., baseball, tennis, football (soccer) tournaments). Event management requires medical administrative and participant care planning. Medical management provides safety advice and care at the event that accounts for large numbers of participants, anticipated injury and illness, variable environment, repeated games or matches, and mixed age groups of varying athletic ability. This document does not pertain to the care of the spectator.
„Żyjące mosty” w średniowiecznych miastach Europy
Authors: Wilke Gerard 
Published: March 2024

Średniowieczna Europa, leżąca w granicach dawnego imperium rzymskiego, przejęła w spuściźnie kulturowej m.in. sieć bardzo dobrze zorganizowanych dróg i mostów. To właśnie one sprawiły, iż ten wielki organizm polityczny funkcjonował tak sprawnie przez setki lat. Według obecnych szacunków, na drogach imperium mogło funkcjonować około 40 tysięcy mostów, przy czym tylko niewielką część z nich stanowiły konstrukcje kamienne, większość zbudowana była bowiem z drewna.
Investigating the motivational teaching strategies of an English native speaker lecturer
Authors: Soviyah Soviyah 
Published: March 2024

Motivation plays a very important role in the success of learning a foreign language. Motivation can come from the teacher. Ways a teacher uses to increase students’ motivation in learning a foreign language are called Motivational Teaching Strategies. The aims of this research are to investigate the motivational teaching strategies used by an English native speaker lecturer and to know the students’ responses toward the Motivational Teaching Strategies used by an English native speaker lecturer. The type of this study is a qualitative research. The subjects involved are an English native speaker lecturer and 23 students of the third semester of the English Education Department, Universitas Ahmad Dahlan Yogyakarta. To collect the data, it was done using classroom observation, interview, and classroom survey. The research was conducted in Universitas Ahmad Dahlan during the pre-pandemic, around the end of 2019 and the beginning of 2020. To analyze the data, qualitative descriptive was utilized as the main technique. Using Dornyei’s framework of Motivational Teaching Strategies containing 48 items, the results of this study showed that the English native speaker lecturer applied almost all of the strategies of the Motivational Teaching Strategies by Dornyei (2001), which are divided into four categories: creating the basic motivational conditions, generating initial motivation strategies, maintaining and protecting motivation, and encouraging positive retrospective self-evaluation. There were few strategies, however, that were not yet implemented because of some considerations. In terms of the students‟ responses, the students mostly saw and agreed that the English native speaker lecturer applied the Motivational Teaching Strategies in the classroom.
How digital immigrants differ from digital native teachers in implementing technology in the classroom
Authors: Rokhyati Umi , Ramadhani Rizka 
Published: March 2024

Learning culture in recent years has shown that we are following the 21-century learning system where technology has a crucial role in it. Technology implementation in the learning activity depends on the teachers' digital competence: digital immigrant and digital native teachers. This study investigated how technology is used by English teachers, focusing on the differentiating factor in implementing technology of two different generations. This descriptive qualitative study involved English teachers from different generations; a teacher with 7 years of teaching experience and another with 22 years teaching experience. An in-depth semi-structured interview was conducted to collect the data. The Apple Classroom Tomorrow (ACOT) framework was used to analyze how the digital immigrant and digital native teachers in the classroom implement technology. The results are that the digital natives and immigrants differ in implementing technology because of age and experience, student motivation, and ICT facility. Generation Z is a participant in the EFL teaching-learning process in the digital age, and this study demonstrates that the digital competence of the teachers must be developed in order to meet their needs.
Teacher professional development during COVID-19 pandemic: Opportunities and challenges
Authors: Purwanti Eko , Anggraini Ririn , Agustina Noor Qomaria 
Published: March 2024

Teacher Professional Development (TPD) is any activities conducted by teachers to upgrade their teaching skills in order to maintain their professionalism. The activities of TPD have recently been greatly affected by the COVID-19 pandemic, resulting in the termination of almost all TPD activities. The study aimed at investigating TPD among English language secondary school teachers during the COVID-19 pandemic focusing on its opportunities and challenges. Using qualitative approach and descriptive qualitative research design, the study involved four English language teachers at two Secondary Schools in Yogyakarta as the participants. In-depth interviews with these four participants were conducted to achieve the objectives of this study. The findings of the study discovered that mastering the technology, improving the competency in designing online class, improving the competency in class management skill, and building peer collaboration among teachers were all the opportunities experienced by the teachers in conducting TPD activities during the COVID-19 pandemic. Moreover, teachers’ lack of digital competency, unstable internet network, limited number of TPD activities, and inadequate support system were the challenges experienced by these teachers in conducting TPD activities during the COVID-19 pandemic. These findings imply that despite the difficult times these English teachers faced during COVID-19 pandemic, they managed to improve their qualities as teachers by maximizing the opportunities of conducting TPD.
Keywords: Professional, teacher competences, COVID-19 pandemi, Teacher Professional Development, opportunities, challenges
Satisficing in dentistry. Who decides? who benefits? part 2
Authors: Lewis Kevin , Kelleher Martin 
Published: March 2024

This three-part series of articles challenges some popular myths about supposedly ‘ideal’ treatment plans and is designed to provoke reflection and stimulate debate. It explains the concept of ‘satisficing’, as opposed to ‘maximizing’, in dentistry, and illustrates how subconscious bias and self-interests might lead supposed experts to promote arbitrary aspirational standards and confuse them with what the law expects (the Bolam Test standard), and what is genuinely in the best interests of an individual patient. It is argued that sound, patient-centred pragmatic planning and treatment is equally valid, with wider applicability than routinely defaulting to a self-serving ‘maximalist’ approach. CPD/Clinical Relevance: The ‘satisficing’ concept has wide and profound application across many fields of dentistry.
Predictors of loss to follow up among adults on antiretroviral therapy before and after the start of treat-all strategy in public health facilities of Hawassa city, Ethiopia: A Competing risk regression
Authors: Ganta Abera Gezume , Wabeto Ermias , Minuta Worku Mimani , Wegi Chala , Berheto Tezera , Samuel Serawit , Assele Desalegn Dawit 
Published: March 2024

Background
Treat-all strategies improved patient outcomes, despite higher rates of loss to follow-up compared to the pre-treat era. Patients in Ethiopia experienced a higher rate of LTFU during the treat-all strategy period; however, studies did not identify contributing factors in comparison with previous strategies. This study aimed to assess the incidence and predictors of loss to follow-up before and after the start of the treat-all strategy among adults on anti-retroviral therapy in public health facilities in Hawassa City, Ethiopia.

Methods
An institution-based retrospective follow-up study was conducted among 1190 randomly selected adults on antiretroviral therapy in public health facilities in Hawassa City. Using the Open Data Kit (ODK), data were collected from medical records and exported to Stata version 16 and R 4.2.1 for analysis. A Grays test and cumulative incidence curve were used to compare the cumulative incidence function of loss to follow-up. Bivariable and multivariable competing risk regression were fitted to identify predictors of LTFU and variables with a p-value <0.05 were considered significant.

Results
The cumulative incidence of lost-to-follow-up was 4.92(3.84,6.3) and 8.67(7.26,10.3) per 100 person-years (PY) in pre-treat all and treat all cohorts, respectively. The cumulative incidence of mortality was 5.86(4.67,7.35) and 3(2.26,4.12) per 100 PY in pre-treat and treat all cohorts, respectively. Fair/poor adherence (aSHR:5.17; (95% CI 1.97, 13.51), underweight (aSHR:2.13; 95% CI: 1.15–3.93) and WHO stage III/IV (aSHR:2.69; 95% CI: 1.27, 5.71) were predictors of loss up in pre—treat all, whereas fair/poor adherence (aSHR = 2.07; 95% CI: 1.18, 3.68), underweight (aSHR:1.71; 95% CI: 1.13, 2.56), and CD4 cell >350 cell/m3 (aSHR: 1.67; 95% CI: 1.05, 2.65) predicts of loss up in treat all cohorts.

Conclusion
This study demonstrated that the incidence of loss to follow-up was considerably higher in the treat-all period as compared to the pre-treat-all era. Poor medication compliance, underweight, and a CD4 level >350 cells/m3 contributed to the higher rate of LTFU in the treat-all strategy. Targeted interventions, such as nutritional support and strengthening medication adherence counseling, should be implemented to maintain treatment retention and reduce antiretroviral therapy dropout rates.
Has sentiment returned to the pre-pandemic level? A sentiment analysis using U.S. college subreddit data from 2019 to 2022
Authors: Yan Tian , Liu Fang 
Published: March 2024

BackgroundAs the impact of the COVID-19 pandemic winds down, both individuals and society are gradually returning to life and activities before the pandemic. This study aims to explore how people’s emotions have changed from the pre-pandemic period during the pandemic to this post-emergency period and whether the sentiment level nowadays has returned to the pre-pandemic level.MethodWe collected Reddit social media data in 2019 (pre-pandemic), 2020 (peak period of the pandemic), 2021, and 2022 (late stages of the pandemic, transitioning period to the post-emergency period) from the subreddits communities in 128 universities/colleges in the U.S., and a set of school-level baseline characteristics such as location, enrollment, graduation rate, selectivity, etc. We predicted two sets of sentiments from a pre-trained Robustly Optimized BERT pre-training approach (RoBERTa) and a graph attention network (GAT) that leverages both the rich semantic information and the relational information among posted messages and then applied model stacking to obtain the final sentiment classification. After obtaining the sentiment label for each message, we employed a generalized linear mixed-effects model to estimate the temporal trend in sentiment from 2019 to 2022 and how the school-level factors may affect the sentiment.ResultsCompared to the year 2019, the odds of negative sentiment in years 2020, 2021, and 2022 are 25%. 7.3%, and 6.3% higher, respectively, which are all statistically significant at the 5% significance level based on the multiplicity-adjusted p-values.ConclusionsOur study findings suggest a partial recovery in the sentiment composition (negative vs. non-negative) in the post-pandemic-emergency era. The results align with common expectations and provide a detailed quantification of how sentiments have evolved from 2019 to 2022 in the sub-population represented by the sample examined in this study.
Pathological changes in oral epithelium and the expression of SARS-CoV-2 entry receptors, ACE2 and furin
Authors: Grinstein-Koren Osnat , Lusthaus Michal , Tabibian-Keissar Hilla , Kaplan Ilana , Buchner Amos , Ilatov Ron , Vered Marilena , Zlotogorski-Hurvitz Ayelet 
Published: March 2024

Background
Expression of angiotensin-converting enzyme (ACE)-2 and co-factors like furin, play key-roles in entry of SARS-CoV-2 into host cells. Furin is also involved in oral carcinogenesis. We investigated their expression in oral pre-malignant/malignant epithelial pathologies to evaluate whether ACE2 and furin expression might increase susceptibility of patients with these lesions for SARS-CoV-2 infection.

Methods
Study included normal oral mucosa (N = 14), epithelial hyperplasia-mild dysplasia (N = 27), moderate-to-severe dysplasia (N = 24), squamous cell carcinoma (SCC, N = 34) and oral lichen planus (N = 51). Evaluation of ACE2/furin membranous/membranous-cytoplasmic immunohistochemical expression was divided by epithelial thirds (basal/middle/upper), on a 5-tier scale (0, 1—weak, 1.5 –weak-to-moderate, 2—moderate, 3—strong). Total score per case was the sum of all epithelial thirds, and the mean staining score per group was calculated. Real time-polymerase chain reaction was performed for ACE2-RNA. Statistical differences were analyzed by One-way ANOVA, significance at p<0.05.

Results
All oral mucosa samples were negative for ACE2 immuno-expression and its transcripts. Overall, furin expression was weakly present with total mean expression being higher in moderate-to-severe dysplasia and hyperplasia-mild dysplasia than in normal epithelium (p = 0.01, each) and SCC (p = 0.008, p = 0.009, respectively).

Conclusions
Oral mucosa, normal or with epithelial pathologies lacked ACE2 expression. Furin was weak and mainly expressed in dysplastic lesions. Thus, patients with epithelial pathologies do not seem to be at higher risk for SARS-CoV-2 infection. Overall, results show that oral mucosae do not seem to be a major site of SARS-CoV-2 entry and these were discussed vis-à-vis a comprehensive analysis of the literature.
Electronic Coding for Abnormal Fecal Immunochemical Test Is Associated With Increased Colonoscopy Completion
Authors: Burns Shohei , Griffith Madeline , Patel Shreya , Sarkar Urmimala , Somsouk Ma 
Published: March 2024

INTRODUCTION:
We examined the utility of the International Classification of Disease, Tenth Revision (ICD-10) code, R19.5, for a positive or abnormal fecal immunochemical test (FIT) and its association with colonoscopy completion.

METHODS:
We identified all patients in a safety-net health system who underwent FITs from January 1, 2020, to August 31, 2021, and extracted the FIT date, FIT result, and ICD-10 code (R19.5) and colonoscopy procedures for each patient.

RESULTS:
FIT-positive patients who had an R19.5 designation within 90 days (n = 383) were significantly more likely than all other FIT-positive patients (n = 273) to complete a colonoscopy within 6 months (40.9% vs 16.8%, P <0.001).

DISCUSSION:
We found that less than two-thirds of patients had an ICD-10 code designated in their chart within 30 days of an abnormal FIT. When coding occurred in a timely manner, patients were more likely to complete their colonoscopy within 6 months.
Indonesia Government Sets Back: The Rule Of Law, Collaborative Governance And Human Right Challenges During Covid-19
Authors: Warsono Hardi , Amaliyah Anita , Putranti Ika Riswanti , Iannone Aniello 
Published: March 2024

The COVID-19 pandemic has taken mankind by surprise and has caused many governments to impose various rules and strategies to contain it. This article discusses the social impact of government policies during COVID-19, the role of agencies other than the government, and the importance of human rights. Collaborative Governance regime and theory are used to complement qualitative methods and for quantitative method, data collection techniques based on literature research, institutional reports, survey results from journals, online media, and print media, as well as the input of experts in focus group discussions. We found that 1) inconsistencies in policy; 2) lack of coordination and leadership; 3) trust issues; and (4) inequalities and injustice performances increased the pressure on social compliance. Our results indicate that the government needs to be more agile to accommodate, nurture and integrate social actors as governance partners in order to ensure its efficacy, resilience and compliance during this pandemic. The government needs to ensure that an inclusive approach is adopted in multi-dimensional channels so none is left behind and the collaborative governance framework in this pandemic war needs to be improved and implemented. In addition,the government should ensure equal treatment of human rights as specially in human safety in health and safety measures.
Predicting consumers’ garment fit satisfactions by using machine learning
Authors: Oosterom Evrim Buyukaslan , Baytar Fatma , Akdemir Deniz , Kalaoglu Fatma 
Published: March 2024

Abstract
The objectives of this study were to apply alternative machine learning (ML) algorithms to predict consumers’ garment fit satisfactions (real fit satisfaction [RFS]) and compare the efficiencies of these algorithms to predict RFS. Skirts made from different fabrics were used as test garments. Mechanical properties of the skirts’ fabrics were assigned as predictor variables to estimate RFS. Study participants’ virtual body models were created by using 3D body scanner and used for virtual fitting. Each participant physically tried on the skirts and evaluated the fit. Participants also viewed the skirt simulations on their avatars and evaluated the virtual fit, which represented participants’ virtual fit satisfactions (VFS). Random Forest (RF), support vector machine (SVM), and conditional tree (CT) algorithms were used to learn from the data to predict participants’ RFSs. The mean correlations between the predicted and observed RFS values in the validation sets were 0.74 (RF), 0.70 (SVM-linear kernel), 0.72 (SVM-radial kernel), and 0.55 (CT). According to the variable importance analysis, VFS had the highest importance among 35 predictor variables. ML is used mostly for sales forecasting and manufacturing purposes in the fashion industry. However, garment fit, which restrains consumers from shopping online, did not get enough attention in ML studies. Besides, the ML algorithms used in fashion and apparel studies are often genetic algorithms and neural networks; therefore, there is a need to test other algorithm types. In this study, we offered alternative ML algorithms (i.e., RF, SVM, and CT) to predict consumers’ garment fit satisfactions.