bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal and spatial patterns of traditional village distribution evolution in Xiangxi, China: identifying multidimensional influential factors and conservation significance
Authors: Zhu Jiaji , Xu Wenzhuo , Xiao Yuhong , Shi Jianyu , Hu Xijun , Yan Bingwen 
Published: December 2023

Abstract
This study systematically investigates the spatio-temporal distribution, influential factors, and conservation significance of 413 traditional villages in Xiangxi, China. Employing methods such as ArcGIS spatial analysis, geographic statistical analysis, and historical literature review, this work meticulously delineates the intricate interplay of natural, societal, and cultural elements in shaping the evolution of village distributions. As pillars of China's rich traditional culture, these villages encapsulate profound historical, folkloric, and architectural values. Their spatial and temporal transformations are instrumental in unraveling Xiangxi’s historical and cultural tapestry, thereby informing strategic conservation efforts. The research findings are as follows: (1) from a spatial perspective, traditional villages in Xiangxi, China, exhibit an overall clustering tendency, characterized by a distribution pattern of "more in the core, fewer on the periphery, with small clusters and significant dispersion." These villages are distributed in multiple bands along ancient postal routes, the Wuling Mountains, the Xuefeng Mountains, and river basins. (2) Traditional villages in Xiangxi primarily originated prior to the Yuan Dynasty, with a predominant north–south spatial orientation. Over successive dynasties, the distribution center gradually shifted northeastward, resulting in an expansion of the spatial distribution range and a decrease in directional bias. (3) The formation and distribution evolution of traditional villages are influenced by a combination of natural factors, socio-economic factors, and historical-cultural factors. Natural factors and cultural elements influence the selection and layout of traditional village sites, while socio-economic and historical-cultural factors impact their development and evolution. In conclusion, the distribution evolution of traditional villages in Xiangxi, China, underscores the intricate interplay of diverse factors, spanning the realms of nature, society, and culture. Recognizing this complexity is essential in comprehending the historical and cultural tapestry of Xiangxi and in formulating strategies for the preservation of these invaluable cultural and historical assets. The preservation of traditional villages transcends mere heritage conservation; it represents a pivotal step towards safeguarding the multifaceted heritage of Xiangxi.
Factors related to students’ psychological distress during COVID-19 disruption across countries
Authors: Rožman Mojca , Liaw Yuan-Ling , Chen Minge 
Published: December 2023

Abstract
Background
The global outbreak of the novel COVID-19 virus presented a significant threat to students’ well-being across the globe. In this paper, we construct a measure of student psychological distress related to COVID-19 disruption. We then examine the variation in students’ psychological distress as a function of student demographic characteristics, home, school and student factors and compare the results across countries.

Methods
We use item response theory to construct a comparable scale for students’ psychological distress across participating countries. Furthermore, we employ linear regression to explore the association of student characteristics and other student and school factors.

Results
An internationally comparable scale for students’ psychological distress was constructed using the model assuming equal item parameters across countries. This enables us to compare the levels of students’ psychological distress and its relationships with the construct across countries. The most important factors contributing to students’ psychological distress were school support, school belonging, disrupted sleep, difficulties in learning after the disruption and preparedness for future disruptions. In some countries, we find suggestive evidence that boys exhibited lower psychological distress than girls. We do not find any meaningful relationship between home resources and the students’ psychological distress scale.

Conclusions
Students across participating countries expressed negative feelings about schooling and events happening during the disruption and their effects on their future. We find indication that some school and student factors had a significant relationship with students’ psychological distress in many countries. This was especially the case in countries where remote learning took place during the disruption. In addition, differences across countries are found. The key finding is that high psychological distress is present in all countries studied around the world. However, it is important to note that the factors contributing to this distress are not the same everywhere. Therefore potential interventions must consider country specific factors.
A plethora of choices: an anatomists’ practical perspectives for the selection of digital anatomy resources
Authors: Aland R. Claire , Hugo Honor J. , Battle Andrew , Donkin Rebecca , McDonald Aaron , McGowan Heath , Nealon Jessica R. , Ritchie Helen , Stirling Allan , Tentrisanna Melby , Valter Krisztina , Xiao Junhua 
Published: December 2023

AbstractThe use of digital resources in the new learning environment has drastically influenced how human topographic anatomy is taught and assessed. An array of digital technologies for anatomy teaching have been recently adopted in medical and health science schools in both undergraduate and postgraduate courses. This resulted from a surging demand for digital anatomy technologies in the wake of the coronavirus disease 2019 (COVID-19) pandemic and required rapid digital up-skilling of anatomists. Despite the wide adoption of digital technologies in anatomy teaching, there is little comprehensive information on the selection and implementation of these digital resources from a practical perspective. Based on the authors’ experience and supported by literature, this article describes their implementation of digital anatomy resources for teaching gross anatomy in eleven Australian universities. This paper highlights the advantages and limitations that the authors encountered and their recommendations for using these current digital technologies in anatomy teaching.
Drowning is fast, silent, and preventable: a Texas example of research in action
Authors: Williams Stewart R. , Dow Emily A. , Johnson Molly B. 
Published: December 2023

AbstractDrowning is a major public health issue internationally. In August 2022, a report was released by members of the Central Texas Drowning Prevention Action Team that provided data on drowning fatalities in Texas between 2006 and 2020 and offered recommendations for drowning prevention actions. The information in the Texas drowning report is an important contribution to the field of injury prevention. The aim of this editorial is to allow the information in the report to be available to a wider audience and potentially used as a model for other states.
ADP-dependent glucokinase controls metabolic fitness in prostate cancer progression
Authors: Xu Hang , Li Yi-Fan , Yi Xian-Yan-Ling , Zheng Xiao-Nan , Yang Yang , Wang Yan , Liao Da-Zhou , Zhang Jia-Peng , Tan Ping , Xiong Xing-Yu , Jin Xi , Gong Li-Na , Qiu Shi , Cao De-Hong , Li Hong , Wei Qiang , Yang Lu , Ai Jian-Zhong 
Published: December 2023

Abstract
Background
Cell metabolism plays a pivotal role in tumor progression, and targeting cancer metabolism might effectively kill cancer cells. We aimed to investigate the role of hexokinases in prostate cancer (PCa) and identify a crucial target for PCa treatment.

Methods
The Cancer Genome Atlas (TCGA) database, online tools and clinical samples were used to assess the expression and prognostic role of ADP-dependent glucokinase (ADPGK) in PCa. The effect of ADPGK expression on PCa cell malignant phenotypes was validated in vitro and in vivo. Quantitative proteomics, metabolomics, and extracellular acidification rate (ECAR) and oxygen consumption rate (OCR) tests were performed to evaluate the impact of ADPGK on PCa metabolism. The underlying mechanisms were explored through ADPGK overexpression and knockdown, co-immunoprecipitation (Co-IP), ECAR analysis and cell counting kit-8 (CCK-8) assays.

Results
ADPGK was the only glucokinase that was both upregulated and predicted worse overall survival (OS) in prostate adenocarcinoma (PRAD). Clinical sample analysis demonstrated that ADPGK was markedly upregulated in PCa tissues vs. non-PCa tissues. High ADPGK expression indicates worse survival outcomes, and ADPGK serves as an independent factor of biochemical recurrence. In vitro and in vivo experiments showed that ADPGK overexpression promoted PCa cell proliferation and migration, and ADPGK inhibition suppressed malignant phenotypes. Metabolomics, proteomics, and ECAR and OCR tests revealed that ADPGK significantly accelerated glycolysis in PCa. Mechanistically, ADPGK binds aldolase C (ALDOC) to promote glycolysis via AMP-activated protein kinase (AMPK) phosphorylation. ALDOC was positively correlated with ADPGK, and high ALDOC expression was associated with worse survival outcomes in PCa.

Conclusions
In summary, ADPGK is a driving factor in PCa progression, and its high expression contributes to a poor prognosis in PCa patients. ADPGK accelerates PCa glycolysis and progression by activating ALDOC-AMPK signaling, suggesting that ADPGK might be an effective target and marker for PCa treatment and prognosis evaluation.
Upregulation of brain-derived neurotrophic factor by Shiikuwasha (Citrus depressa Hayata)
Authors: Nakajima Kensuke , Okubo Shinya , Ohta Tomoe , Uto Takuhiro , Oiso Shigeru 
Published: December 2023

AbstractBackgroundA reduction in the brain-derived neurotrophic factor (BDNF) level in the brain causes depression, whereas an increase in its level has therapeutic benefits against depression. BDNF is synthesized in various peripheral tissues and transported to the brain via the peripheral circulation across the blood–brain barrier. Therefore, substances that upregulate peripheral BDNF level may be used to prevent and treat depression. Previously, we demonstrated thatCitrus unshiupeel (Chinpi) andC. natsudaidaiincreased BDNF level in a human renal adenocarcinoma cell line ACHN, which has BDNF-producing ability. Here, we evaluated whether Shiikuwasha (C. depressaHayata), a citrus species cultivated in East Asia, can upregulate BDNF level in ACHN cells.MethodsWe evaluated the effects of test samples on BDNF production by measuring BDNF level in the medium of ACHN cells after a 24 h cultivation in the presence of test samples. TheBDNFmRNA level was measured by quantitative reverse transcription-polymerase chain reaction, and the phosphorylation level of cyclic adenosine monophosphate response element-binding protein (CREB), a transcription factor regulating BDNF expression, was determined using Western blotting.ResultsWe found that methanol extracts of Shiikuwasha peel, pulp, and seed increased the BDNF level in the culture medium of ACHN cells. Shiikuwasha peel and pulp extracts also upregulatedBDNFmRNA level and phosphorylation of CREB.ConclusionsThese results suggest that Shiikuwasha includes the candidate antidepressant substances with peripheral BDNF-upregulation effect.
Dynamic updating of clinical survival prediction models in a changing environment
Authors: Tanner Kamaryn T. , Keogh Ruth H. , Coupland Carol A. C. , Hippisley-Cox Julia , Diaz-Ordaz Karla 
Published: December 2023

Abstract
Background
Over time, the performance of clinical prediction models may deteriorate due to changes in clinical management, data quality, disease risk and/or patient mix. Such prediction models must be updated in order to remain useful. In this study, we investigate dynamic model updating of clinical survival prediction models. In contrast to discrete or one-time updating, dynamic updating refers to a repeated process for updating a prediction model with new data. We aim to extend previous research which focused largely on binary outcome prediction models by concentrating on time-to-event outcomes. We were motivated by the rapidly changing environment seen during the COVID-19 pandemic where mortality rates changed over time and new treatments and vaccines were introduced.

Methods
We illustrate three methods for dynamic model updating: Bayesian dynamic updating, recalibration, and full refitting. We use a simulation study to compare performance in a range of scenarios including changing mortality rates, predictors with low prevalence and the introduction of a new treatment. Next, the updating strategies were applied to a model for predicting 70-day COVID-19-related mortality using patient data from QResearch, an electronic health records database from general practices in the UK.

Results
In simulated scenarios with mortality rates changing over time, all updating methods resulted in better calibration than not updating. Moreover, dynamic updating outperformed ad hoc updating. In the simulation scenario with a new predictor and a small updating dataset, Bayesian updating improved the C-index over not updating and refitting. In the motivating example with a rare outcome, no single updating method offered the best performance.

Conclusions
We found that a dynamic updating process outperformed one-time discrete updating in the simulations. Bayesian updating offered good performance overall, even in scenarios with new predictors and few events. Intercept recalibration was effective in scenarios with smaller sample size and changing baseline hazard. Refitting performance depended on sample size and produced abrupt changes in hazard ratio estimates between periods.
Let’s talk about it: an exploration of the comparative use of three different digital platforms to gather patient-reported outcome measures
Authors: Golden Anna Hundt , Gabriel Meghan Hufstader , Russo Jon , Price Mark , Ruhmel Stephen , Nilsson Ami , Delong Patricia Shepherd , Jelsma Jennifer , Carty Michelle 
Published: December 2023

Abstract
Background
Patient-reported outcome (PRO) measures provide valuable evidence in clinical trials; however, poor compliance with PRO measures is a notable and long-standing problem, resulting in missing data that potentially impact the interpretation of trial results. Interactive, patient-centric platforms may increase participants’ motivation to complete PRO measures over the course of a clinical trial. Thus, the aim of this study was to evaluate and optimize the usability of 3 popular consumer technologies—a traditional app-based interface, a chatbot interface, and a speech-operated interface—that may be used to improve user engagement and compliance with PRO measures.

Methods
Participants aged 18–75 years from the general United States population tested the usability of 3 ePRO platforms: a traditional app-based interface using Datacubed Health Platform (Datacubed), a web-based chatbot interface using the Orbita platform, and a speech-operated Alexa interface using an Alexa Skill called “My Daily Wellness.” The usability of these platforms was tested with 2 PRO measures: the EQ-5D-5 L and the SF-12v2 Health Survey (SF-12v2), Daily recall. Using a crossover design, 3 cohorts of participants tested each ePRO platform daily for 1 week. After testing, interviews were conducted regarding the participants’ experience with each platform.

Results
A total of 24 adults participated in the study. The mean age of participants was 45 years (range, 21–71 years), and half were female (n = 12; 50%). Overall, participants prioritized speed, ease of use, and device portability in selecting their preferred platform. The Datacubed app met these criteria and was the preferred platform among most participants (n = 20; 83%). Participants also suggested various modifications to the platforms, such as programmable notifications, adjustable speed, and additional daily reminders.

Conclusions
These data demonstrate the importance of speed, ease of use, and device portability, features that are currently incorporated in the Datacubed app, in ePRO platforms used in future clinical trials. Additionally, the usability of ePRO platforms may be optimized by adding programmable notifications, adjustable speed, and increased daily reminders. The results of this study may be used to enhance the usability and patient centricity of these platforms to improve user compliance and engagement during clinical trials.
Fuel build-up promotes an increase in fire severity of reburned areas in fire-prone ecosystems of the western Mediterranean Basin
Authors: Fernández-Guisuraga José Manuel , Calvo Leonor 
Published: December 2023

Abstract
Background
Fire-vegetation feedbacks can modulate the global change effects conducive to extreme fire behavior and high fire severity of subsequent wildfires in reburn areas by altering the composition, flammability traits, and spatial arrangement of fuels. Repeated, high-severity wildfires at short return intervals may trigger long-term vegetation state transitions. However, empirical evidence about these feedbacks is absent in fire-prone ecosystems of the western Mediterranean Basin, where the response of fire activity has been enhanced by contemporary socioeconomic and land-use changes. Here, we evaluated whether fire severity differs between initial burns and subsequent wildfires in reburn areas (fire-free periods = 10–15 years) of maritime pine and Aleppo pine forests, holm oak woodlands, and shrublands in the western Mediterranean Basin, and whether there is a relationship between the severity of such interactive wildfire disturbances. We also tested how the type of ecosystem and changes in vegetation structure after the initial wildfires influence these relationships. We leveraged Landsat-based fire severity estimates for initial and last wildfires using the Relativized Burn Ratio (RBR) and Light Detection and Ranging (LiDAR) data acquired before the last wildfire.

Results
Fire severity of the last wildfire was significantly higher than that of the initial wildfire for each dominant ecosystem type in reburn areas. These differences were very pronounced in maritime pine forests and shrublands. For consistency, the same patterns were evidenced for the fire severity in reburn and first-entry areas of the last wildfire for each dominant ecosystem type. Fire severity of the last wildfire in forests and woodlands (particularly maritime pine-dominated) raised with increasing severity of the previous wildfire to a greater extent than in shrublands. Pre-fire fuel density in the lower vegetation strata (up to 4 m high in maritime and Aleppo pine forests, as well as in shrublands, and up to 2 m high in holm oak forests) was significantly higher in reburn than in first-entry areas of the last wildfire.

Conclusions
Our results suggest that land managers should promote more fire-resistant landscapes to high fire severity by minimizing fuel build-up and thus fire hazard through pre-fire fuel reduction treatments such as prescribed burning.
Inflammatory perspectives of polycystic ovary syndrome: role of specific mediators and markers
Authors: Dey Rajen , Bhattacharya Koushik , Basak Asim Kumar , Paul Nimisha , Bandyopadhyay Raktima , Chaudhuri Gargi Ray , Purkait Mahuya Patra , Bhattacharjee Aniruddha , Bose Chaitali , Shukla Nandini , Bhaduri Rama , Roy Soumya Sinha , Syamal Alak Kumar 
Published: December 2023

AbstractPolycystic ovary syndrome (PCOS) is indeed one of the most common gynecological endocrine disorders, affecting a significant number of females in their reproductive age. While the exact cause of PCOS is not fully understood, several factors are believed to contribute to its onset. The relationship between polycystic ovary syndrome (PCOS) and low-grade chronic inflammation is complex and not fully understood. While there is evidence to suggest an association between PCOS and inflammation, the exact cause and causal nature of this relationship are still under investigation. Several inflammatory markers, including IL-6 (interleukin-6), TNF-α (tumor necrosis factor-alpha), IL-17 (interleukin-17), CRP (C-reactive protein), NLR (neutrophil-to-lymphocyte ratio), and PLR (platelet-to-lymphocyte ratio), have been studied about PCOS. These markers are substances produced by the immune system in response to inflammation. Increased levels of IL-17, IL-1, and IL-8 were correlated with PCO. CRP to albumin ratio can be employed as a precise bio-marker for PCOS. The neutrophil-to-lymphocyte ratio (NLR) indicates poor cardiovascular health and metabolic syndrome (MS) and can be considered a negative regulator for FSH which indirectly stimulates testosterone production. Platelet/lymphocyte ratio (PLR) and mean platelet volume (MPV) are also recently found to be associated with PCOS. The literature explaining the underlying mechanisms with specific inflammatory markers and how inflammation relates to PCOS will be highlighted in this review article. It will also discuss the roles of inflammation and the association of different inflammatory markers in the pathogenesis of PCOS, which may usher in a new era in the treatment approach for PCOS.
Schizophrenia and epigenetics: a comprehensive bibliometric analysis
Authors: Nour El Huda Abd Rahim , Mohd Asyraf Abdull Jalil , Norlelawati A. Talib , Siti Norain Mat Rasid , Wan Muhamad Salahudin Wan Salleh , Norainin Sofiya Azman , Mohamed Bakrim Norbaiyah 
Published: December 2023

Abstract
Background and objective(s)
Numerous studies have explored the association between epigenetics and schizophrenia, yielding various findings and reports. Thus, we conducted a bibliometric analysis of the studies that have investigated this association to provide an overview of the evolution of research on this topic and to determine the current status and areas for advancement in this field.

Methods
We applied several methodologies, such as keyword co-occurrence and co-authorship analysis, to the SCOPUS database to analyze the most significant authors, institutions, and countries and the most cited publications. Several analytic tools were employed, namely Bibliomagika 2.2 and Bibliomagika 1.5 Split for frequency analysis, VOSviewer for data visualization, and Biblioshiny packages from R software to perform the bibliometric analysis.

Results
A total of 397 publications were retrieved, and most were published in 2013, revealing an increasing trend over the past decade. The most productive contributors based on the number of published documents were the Alessandro Guidotti (24 publications), the University of Illinois at Chicago (21 publications), the United States of America (159 publications), and the Journal of Schizophrenia Research (22 publications). The top keywords were schizophrenia (250 occurrences), DNA methylation (174 occurrences), and epigenetics (121 occurrences).

Conclusions
The findings shed light on the research trends, country contributions, influential authors, and most active journals on the topic. This information can help researchers identify gaps and future directions in the field and can provide a platform for progressing knowledge in this field.