bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing role of religion in perception of the COVID-19 vaccines in Africa and Asia Pacific
Authors: Jin Shihui , Cook Alex R. , Kanwagi Robert , Larson Heidi J. , Lin Leesa 
Published: October 2024

Abstract
Background
In the midst of the global COVID-19 vaccine distribution challenge, religion stands out as a key determinant of vaccine hesitancy and health choices. Notably, the multifaceted religious environments of Africa and the Asia Pacific remain under-researched in this context.

Methods
Utilizing data from two survey waves conducted between 2021 and 2022, this cross-sectional study investigated the effects of religious beliefs on perceptions of compatibility between religion and vaccines and COVID-19 vaccine acceptance in Africa and Asia Pacific. Logistic regression models were employed, with interaction terms between socio-economic factors incorporated to account for variations among diverse subpopulations.

Results
Among the eight religious groups identified, Atheists and Buddhists in the Asia Pacific exhibit the lowest agreement, with fewer than 60% acknowledging the religious compatibility of vaccines. Willingness to accept vaccines, however, is consistently higher in Asia Pacific by at least four percentage points compared to Africa, with the disparity widening further in the second wave. Impacts of education on vaccine perceptions vary across religious groups, while acknowledging vaccine compatibility with religion positively contributed to vaccine acceptance. Dynamics between region, religion, and other socio-demographic factors have changed substantially over time. All but Atheists and Muslims exhibit a higher propensity to endorse vaccines during Survey Wave 2.

Conclusions
Our study reveals complex, context-dependent connections between vaccine attitudes and religion and the heterogeneous effects of time and education among different religious affiliations. Understanding the underlying drivers of these temporal variations helps inform tailored approaches aimed at addressing vaccine hesitancy, promoting vaccine uptake, and improving the well-being of each religious group.
Impact of commonly administered drugs on the progression of spinal cord injury: a systematic review
Authors: Bourguignon Lucie , Lukas Louis P. , Kondiles Bethany R. , Tong Bobo , Lee Jaimie J. , Gomes Tomás , Tetzlaff Wolfram , Kramer John L. K. , Walter Matthias , Jutzeler Catherine R. 
Published: October 2024

Abstract
Background
Complications arising from acute traumatic spinal cord injury (SCI) are routinely managed by various pharmacological interventions. Despite decades of clinical application, the potential impact on neurological recovery has been largely overlooked. This study aims to highlight commonly administered drugs with potential disease-modifying effects.

Methods
This systematic literature review included studies referenced in PubMed, Scopus and Web of Science from inception to March 31st, 2021, which assess disease-modifying properties on neurological and/or functional recovery of drugs routinely administered following spinal cord injury. Drug effects were classified as positive, negative, mixed, no effect, or not (statistically) reported. Risk of bias was assessed separately for animal, randomized clinical trials, and observational human studies.

Results
We analyzed 394 studies conducting 486 experiments that evaluated 144 unique or combinations of drugs. 195 of the 464 experiments conducted on animals (42%) and one study in humans demonstrate positive disease-modifying properties on neurological and/or functional outcomes. Methylprednisolone, melatonin, estradiol, and atorvastatin are the most common drugs associated with positive effects. Two studies on morphine and ethanol report negative effects on recovery.

Conclusion
Despite a large heterogeneity observed in study protocols, research from bed to bench and back to bedside provides an alternative approach to identify new candidate drugs in the context of SCI. Future research in human populations is warranted to determine if introducing drugs like melatonin, estradiol, or atorvastatin would contribute to enhancing neurological outcomes after acute SCI.
Machine learning‐based investigations of the effect of surface texture geometry on the wear behaviour of UHMWPE bearings in hip joint implants
Authors: Kumar Vipin , Tewari Ravi Prakash , Rawat Anubhav 
Published: October 2024

AbstractThe purpose of this research is to develop data‐driven machine learning (ML) models capable of estimating the specific wear rate of ultra‐high molecular weight polyethylene (UHMWPE) used in hip replacement implants. The results of the data‐driven models are demonstrating a high level of consistency with the experimental findings acquired from the pin‐on‐disk (POD) trials. With a performance evaluation of 0.06 mean absolute error (MAE), 0.17 Root Mean Square Error (RMSE), and 0.96 R2, the Random Forest Regression is found to be the best model. Another machine learning model, called Gradient Boosting Regression, is also found to possess satisfactory predictive performance by having an MAE of 0.09, RMSE of 0.24, and R2 of 0.96. According to the findings of a parametric analysis that made use of an ML model, the surface texture geometry has a substantial dependence on the wear behaviour of UHMWPE bearings that are used in hip replacement implants. This strategy has the potential to enhance experiment design and lessen the necessity for time‐consuming POD trials for the purpose of assessing the wear of hip replacement implants.
Les déterminants sociodémographiques et géographiques de la pratique physique et sportive au Japon : une première modélisation
Authors: Lefèvre Brice , Kasano Hidehiro , Nier Olivier , Kato Tomoyuki , Yabe Tetsuya , Kajihara Hiroyuki , Shibata Hiroki , Koyama Sanae , Iizuka Shun , Endo Toshiro 
Published: October 2024

Quels sont les déterminants sociodémographiques et géographiques de la pratique physique et sportive au Japon ? Le traitement statistique (couples régressions logistiques/anovas) de bases de données des enquêtes nationales ad hoc de la Japan Sports Agency (n = 120 000 personnes âgées de 18 à 79 ans) montre l’importance des caractéristiques sociodémographiques sur la sportivité des personnes (au sens large, fait de pratiquer au moins une activité physique ou sportive récréative), et le peu d’influence de l’origine préfectorale (codée en 47 préfectures). Au-delà de l’effet, peut-être ponctuel, de la période des Jeux Olympiques, les résultats présentent des effets sociodémographiques multiples. À grands traits, il est constaté une influence de l’âge majeure et atypique (dont une courbe en U), ainsi qu’un capital culturel et un capital économique qui favorisent la pratique physique et sportive. Apparaissent aussi la catégorie socioprofessionnelle (moyenne et supérieure) ainsi que le fait de ne pas habiter en zone rurale. Compte tenu du contexte social et culturel, le sexe a un effet moins fort qu’attendu.
Ein malignes Pilomatrixom im Bereich der Tonsille eines
Hundes
Authors: Stopar Angela , Hartmann Antje , Kuntz Jan , Lautersack Janine , Soukup Alena , Rademacher Pia 
Published: October 2024

ZusammenfassungDieser Fall beschreibt einen 12 Jahre alten männlichen West Highland White
Terrier, der aufgrund von Reverse Sneezing und einer oralen Dysphagie in der
Tierklinik vorgestellt wurde. In der endoskopischen Untersuchung konnte eine
Umfangsvermehrung der rechten Tonsille dargestellt werden. Histologisch wurde
ein malignes Pilomatrixom diagnostiziert. Es erfolgte eine chirurgische
Zytoreduktion und eine anschließende Bestrahlungstherapie. Der Hund war 154 Tage
symptomfrei und bei gutem Allgemeinbefinden. Aufgrund von erneuten klinischen
Anzeichen und dem Verdacht einer symptomatischen Metastasierungen in den
mandibulären Lymphknoten wurde der Hund 261 Tage nach der Diagnosestellung
euthanasiert. Dies ist der erste Fallbericht eines malignen Pilomatrixom der
Tonsille mit zytoreduktiver Chirurgie und adjuvanter Strahlentherapie.
Beziehungen zwischen perinataler Mortalität und Management von Kühen
vor und zur Kalbung in großen Milchviehherden
Authors: Keller Steffi , Donat Karsten , Söllner-Donat Stefanie , Wehrend Axel , Klassen Anne 
Published: October 2024

Zusammenfassung
Gegenstand und Ziel Totgeburten haben einen relevanten Anteil an der
Gesamtsterblichkeit der Kälber in Milchviehbetrieben und die Totgeburtenrate
stellt ein wichtiges Kriterium zur Beurteilung des Tierwohls dar. Zielstellung
dieser Studie war die Ermittlung von Zusammenhängen zwischen der Totgeburtenrate
und dem Management von Kühen ante partum und zur Kalbung in größeren
Milchviehherden.
Material und Methoden In 97 Milchviehbetrieben mit einer mittleren
Herdengröße von 550 Rindern über 24 Monate wurden Daten über das
Betriebsmanagement und zur Tiergesundheit im Rahmen einer Betriebsbegehung
mittels Fragebogen erhoben. Die Totgeburtenrate der jeweiligen Betriebe wurde
anhand der betriebseigenen Angaben aus der Milchleistungsprüfung ermittelt und
mit Hilfe einer multivariablen Faktorenanalyse auf mögliche Zusammenhänge mit
dem Betriebsmanagement untersucht.
Ergebnisse Eine höhere Totgeburtenrate zeigte sich bei Betrieben mit
besonders mageren sowie überkonditionierten Transitkühen. Ein positiver
Zusammenhang zur Totgeburtenrate ergab sich weiterhin für Betriebe mit einer
speziellen Geburtsüberwachung bei Färsen und mit Geburtshilfen bei>20% der
Geburten. Ein Zusammenhang zur Bestandsgröße bestand nicht.
Schlussfolgerung Unabhängig von der Betriebsgröße lassen sich Faktoren
ermitteln, welche in Beziehung zur Totgeburtenrate stehen. Die Körperkondition
der Kühe spielt hierbei eine wesentliche Rolle. Die Etablierung einer speziellen
Geburtsüberwachung bei Färsen ist vermutlich als eine Reaktion auf vermehrte
Totgeburten im Bestand zu interpretieren.
Klinische Relevanz Die Konditionierung der Kühe vor der Kalbung ist ein
wichtiges Handlungsfeld für Herdenmanager zur Vermeidung von Totgeburten. Die
Tiere sollten weder zu mager noch überkonditioniert zur Kalbung kommen. Bei
solchen Kühen sollte eine intensivere Geburtsüberwachung stattfinden, um zum
richtigen Zeitpunkt fachgerecht Geburtshilfe leisten zu können. In die
tierärztliche Bestandsbetreuung sollte eine Bonitur der Körperkondition von
Kühen zu den Zeitpunkten des Trockenstellens, der Abkalbung und gegen Ende der
Hochleistungsphase erfolgen sowie eine Bewertung der Bedingungen für die Kalbung
und eine Schulung der mit Geburtshilfe befassten Mitarbeiter integriert
werden.
The Management of Patients with Extrapulmonary Sarcoidosis in
Rheumatology Clinic
Authors: Gülle Semih , Ataca Mert Can , Sarı İsmail , Birlik Merih , Can Gercek , Önen Fatoş 
Published: October 2024

Abstract
Background This study aimed to evaluate patients with extrapulmonary and
refractory sarcoidosis who were followed up on in our rheumatology clinic for a
long follow-up period and to summarise the applications in rheumatology
practice.
Materials and Methods The study included patients diagnosed with
sarcoidosis at our institution between 2010 and 2022. Patientsʼ age, sarcoidosis
diagnosis dates, inflammatory rheumatic disease (iRMD) diagnoses, autoimmune
markers, and imaging findings were all evaluated. Estimates were made for cases
of glucocorticoid (GC) use and cumulative and mean daily GC exposures.
Results 90 patients with sarcoidosis, 79 (87.8) female and 11 (12.2) male,
whose mean age was 56.4±12.4 years, were included. Since 48 (53.3%) of the
patients required at least one additional treatment in addition to CS, they were
classified as having refractory sarcoidosis and followed up accordingly. While
43 (89%) of the patients received second-line sarcoidosis treatment, it was
found that 5 patients were switched to third-line sarcoidosis treatment
(p<0.001). Comorbidity distributions of refractory and nonrefractory patients
were similar. It was determined that 9 (10%) patients had a history of
osteoporotic fracture.
Conclusions In conclusion, it appears critical to develop a detailed
patient management plan and a multidisciplinary approach in the early stages of
extrapulmonary sarcoidosis management. There is currently no detailed algorithm
covering refractory disease definition and treatment practice differences.
Impact of High-intensity Statin on Atrial Fibrillation after Off-Pump Coronary Artery Bypass
Authors: Lee Yeiwon , Kang Yoonjin , Kim Ji Seong , Kim Sue Hyun , Sohn Suk Ho , Hwang Ho Young 
Published: October 2024

Abstract
Background There is uncertainty regarding the impact of high-intensity statins on postoperative outcomes in patients undergoing surgical myocardial revascularization. This study was conducted to evaluate the impact of high-intensity statin treatment on the occurrence rate of new-onset postoperative atrial fibrillation (POAF) after off-pump coronary artery bypass grafting (OPCAB).
Methods Six hundred and thirteen patients (66.8 ± 9.8 years, male:female = 476:137) who underwent isolated OPCAB were retrospectively enrolled. Hypertension (n = 409, 66.7%), diabetes mellitus (n = 343, 59.6%), and chronic kidney disease (n = 138, 22.5%) were common comorbidities. Statins and beta-blockers were administered to all patients until the day of surgery and resumed within 6 hours after surgery. Risk factors associated with POAF were analyzed, including the use of high-intensity statins (atorvastatin 40–80 mg or rosuvastatin 20 mg), as well as baseline characteristics and preoperative risk factors.
Results High-intensity statins were used in 158 patients (25.8%). POAF occurred in 184 patients (30.0%). The use of high-intensity statins was not correlated with preoperative levels of low-density lipoprotein (p = 0.446) or high-sensitivity C-reactive protein (p = 0.478). Multivariate logistic regression analysis revealed that the use of high-intensity statins was significantly associated with a reduced occurrence of POAF (p = 0.022, odds ratio [95% confidence interval] = 0.592 [0.378–0.926]). Age, acute coronary syndrome, insulin-dependent diabetes mellitus, and chronic kidney disease were also significantly associated with POAF.
Conclusion Preoperative administration of high-intensity statins was associated with a 41% reduction in the occurrence rate of POAF in patients who underwent OPCAB.
Origin of land status and history of land use of large oil palm plantation in PT PSM, West Kalimantan Province
Authors: Nurlhida F A H , Manar P A 
Published: October 2024

Abstract
Indonesia has received a lot of allegations regarding deforestation associated with oil palm plantation. One of the oil palm plantations was built by PT PSM in West Kalimantan. Its status and land use origin need to be explored to break the allegations. The purpose of this research was to obtain valid data and information about the origin of status and land use of oil palm plantations in PT PSM. Methods used in this research were interview, map overlay analysis, Landsat image interpretation, and literature study. Permission grant for oil palm plantation started in 2005. The location permit was completed in 2019. The land consisted of 91.03% convertible production forest and 8.97% limited production forest in 1982. Those area became non-forest land in 2014. Previously, the land consisted of secondary forest and community fields. The land was handed to PT PSM without conflict. After the plantation was built, 11.64% of secondary forest area became oil palm plantation. Previous land use includes secondary dry land forest, shrubs, bushes, and plantation. When the business permit and certificate were issued, the status of the oil palm plantations was not forest area, confirming that the oil palm plantation is not involved in any deforestation.
Unveiling pyroelectricity in ferroelectric planar capacitors with area-selective wet etched hafnium zirconium oxide: from ab initio and multiphysics simulations to experiments
Authors: Aldrigo Martino , Zampa Gian Marco , Dragoman Mircea , Dinu Livia Alexandra , Nastase Florin , Romanitan Cosmin , Parvulescu Catalin , Brincoveanu Oana , Iordanescu Sergiu , Vulpe Silviu , Laudadio Emiliano , Mohebbi Elaheh , Pavoni Eleonora 
Published: October 2024

Abstract
In this work, a systematic approach aimed at investigating and validating a novel way of realizing pyroelectric harvesting is presented. Generating a direct-current (dc) signal through a temperature gradient within a less than 7 nm-thick ferroelectric zirconium-doped hafnium oxide (HZO) nano-film, embedded in planar interdigitated capacitors on high-resistivity silicon, is a new, simple, effective, and reproducible solution. Temperature-related structural modifications in HZO are first simulated using advanced ab initio calculations. Then, rigorous multiphysics simulations of the final devices provide insight into the expected performance of the pyroelectric harvester, as a function of temperature, contact area, and crystal orientation, showing a maximum open-circuit voltage of up to 900 mV. The fabrication of the harvesters involves the area-selective wet etching of the HZO layer to retain it exclusively in between the fingers of each capacitor. This choice maximizes the pyroelectric effect (which strongly depends on the area) and represents a new paradigm in the development of HZO-based electronics, which are conventionally built on ferroelectric continuous films. Experimental validation at both low frequencies and microwaves confirms the pyroelectric effect, exhibiting a significant increase in the output current for higher temperature gradients, and a generated dc voltage of several hundred millivolts.
Authoritarianism: A Very Short Introduction
Authors: Loxton James 
Published: October 2024

Abstract
Authoritarianism is one of the buzzwords of our age. But what is it exactly? This book provides a clear and engaging introduction to the world of authoritarian regimes, including military, single-party, and personalist regimes. It asks why authoritarian regimes are born, why they sometimes die, and what legacies they leave behind. It shows that while many authoritarian regimes broke down in the final decades of the 20th century, about half of all countries remained authoritarian. Drawing on wide-ranging examples including Argentina, China, Spain, Saudi Arabia, and South Africa, the book asks what citizens can do to prevent their countries from sliding into authoritarianismâ€”and what can be done once those regimes are in place. It also considers the disturbing fact that voters in many new democracies use their newfound rights to send former authoritarian officials back to power.
iSeq: an integrated tool to fetch public sequencing data
Authors: Chao Haoyu , Li Zhuojin , Chen Dijun , Chen Ming 
Published: October 2024

Abstract

Motivation
High-throughput sequencing technologies [next-generation sequencing (NGS)] are increasingly used to address diverse biological questions. Despite the rich information in NGS data, particularly with the growing datasets from repositories like the Genome Sequence Archive (GSA) at NGDC, programmatic access to public sequencing data and metadata remains limited.

Results
We developed iSeq to enable quick and straightforward retrieval of metadata and NGS data from multiple databases via the command-line interface. iSeq supports simultaneous retrieval from GSA, SRA, ENA, and DDBJ databases. It handles over 25 different accession formats, supports Aspera downloads, parallel downloads, multi-threaded processes, FASTQ file merging, and integrity verification, simplifying data acquisition and enhancing the capacity for reanalyzing NGS data.

Availability and implementation
iSeq is freely available on Bioconda (https://anaconda.org/bioconda/iseq) and GitHub (https://github.com/BioOmics/iSeq).
Deep learning and transfer learning for brain tumor detection and classification
Authors: Rustom Faris , Moroze Ezekiel , Parva Pedram , Ogmen Haluk , Yazdanbakhsh Arash 
Published: October 2024

Abstract
Convolutional neural networks (CNNs) are powerful tools that can be trained on image classification tasks and share many structural and functional similarities with biological visual systems and mechanisms of learning. In addition to serving as a model of biological systems, CNNs possess the convenient feature of transfer learning where a network trained on one task may be repurposed for training on another, potentially unrelated, task. In this retrospective study of public domain MRI data, we investigate the ability of neural network models to be trained on brain cancer imaging data while introducing a unique camouflage animal detection transfer learning step as a means of enhancing the networks’ tumor detection ability. Training on glioma and normal brain MRI data, post-contrast T1-weighted and T2-weighted, we demonstrate the potential success of this training strategy for improving neural network classification accuracy. Qualitative metrics such as feature space and DeepDreamImage analysis of the internal states of trained models were also employed, which showed improved generalization ability by the models following camouflage animal transfer learning. Image saliency maps further this investigation by allowing us to visualize the most important image regions from a network’s perspective while learning. Such methods demonstrate that the networks not only ‘look’ at the tumor itself when deciding, but also at the impact on the surrounding tissue in terms of compressions and midline shifts. These results suggest an approach to brain tumor MRIs that is comparable to that of trained radiologists while also exhibiting a high sensitivity to subtle structural changes resulting from the presence of a tumor.
Enhanced MRI-based brain tumour classification with a novel Pix2pix generative adversarial network augmentation framework
Authors: Onakpojeruo Efe Precious , Mustapha Mubarak Taiwo , Ozsahin Dilber Uzun , Ozsahin Ilker 
Published: October 2024

Abstract
The scarcity of medical imaging datasets and privacy concerns pose significant challenges in artificial intelligence-based disease prediction. This poses major concerns to patient confidentiality as there are now tools capable of extracting patient information by merely analysing patient’s imaging data. To address this, we propose the use of synthetic data generated by generative adversarial networks as a solution. Our study pioneers the utilisation of a novel Pix2Pix generative adversarial network model, specifically the ‘image-to-image translation with conditional adversarial networks,’ to generate synthetic datasets for brain tumour classification. We focus on classifying four tumour types: glioma, meningioma, pituitary and healthy. We introduce a novel conditional deep convolutional neural network architecture, developed from convolutional neural network architectures, to process the pre-processed generated synthetic datasets and the original datasets obtained from the Kaggle repository. Our evaluation metrics demonstrate the conditional deep convolutional neural network model's high performance with synthetic images, achieving an accuracy of 86%. Comparative analysis with state-of-the-art models such as Residual Network50, Visual Geometry Group 16, Visual Geometry Group 19 and InceptionV3 highlights the superior performance of our conditional deep convolutional neural network model in brain tumour detection, diagnosis and classification. Our findings underscore the efficacy of our novel Pix2Pix generative adversarial network augmentation technique in creating synthetic datasets for accurate brain tumour classification, offering a promising avenue for improved disease prediction and treatment planning.