bluuebunny/crossref_metadata_2025_split huggingface dataset:
T.F. Torrance’s Theology of Mission and Analytic Theology’s Contribution to Missiology
Authors: Woznicki Christopher 
Published: April 2024

Abstract
This article demonstrates analytic theology’s contribution to missiology by turning to T.F. Torrance’s theology of mission as a test case. Upon examining Torrance’s missiological contribution, it becomes apparent that his notion of the end of mission—the personalization of humanity—is conceptually fuzzy. I demonstrate how analytic theology can clarify, and further develop, this aspect of Torrance’s missiology, and thus conclude that if analytic theology can help to bring clarity to the missiological proposals of one missional theologian, then perhaps analytic theology might lay claim to the possibility of playing a greater role within the discipline of missiology.
Women, Sex, and Privative Violence in the Council of Elvira Canons
Authors: Baldrick-Morrone Tara 
Published: April 2024

Abstract
This article analyzes forms of ecclesiastical punishments found in the fourth-century Council of Elvira canons. Previous work on the council and canons has rightly argued that the regional bishops were concerned with policing the boundaries of their communities, especially when it comes to marriage, women, and sexual behavior. Yet rather than see the punishments and preoccupation with women as representing a natural result of heterosexual male desire or sexual anxiety, a re-evaluation of the canons reveals that church leaders used excommunication as a punishment to exercise social control. In effect, the efforts to deprive community members of communion and baptism function as a form of privative violence. The article analyzes how the canons use the most severe forms of privative violence, near-total and total excommunication, for situations that concerned the sexual behavior of women. By situating the Council of Elvira canons in their sociocultural context in Roman Hispania, as well as among other examples of early Christian texts focused on women’s supposedly deviant bodies, this article contributes to efforts to expand our understanding of the intersection of gender and violence. More importantly, it addresses how these acts of privative violence, particularly against women, shaped the contours of ancient Christian communities.
Nurturing and Caring?
Authors: Fehleison Jill 
Published: April 2024

Abstract
This essay examines Francis de Sales’s Introduction to the Devout Life through the framework of caregiving. It also uses de Sales’s correspondence with two elite women, Jeanne de Chantal and Marie Brûlart, to demonstrate how de Sales’s guidance for laity was put into practice. Exploring women that yearned for a richer spiritual yet also had extensive caregiving obligations that did not allow for complete withdrawal from the secular world, reveals the increased labor these women faced. Women could not neglect household and family to spend more time in prayer and devotional practices. Caregiving duties were ongoing for most women of Early Modern Europe and continue today. Exploring how caring was viewed as part of women’s obligations as Christians, highlights the often-hidden labor of women.
‘Thy Servant Forever’
Authors: Leal K. Elise 
Published: April 2024

Abstract
This article expands scholarly definitions of female religious authority—conversations that typically focus on women—by situating girlhood as an equally important site of receiving, developing, and performing religious agency. Using a biographical case study approach, the article examines the life of Mary Chrystie, a deeply pious American girl who lived from 1825–1841 in the mid-Atlantic region and left one of the most substantial extant primary source collections produced by a child from this period. Her life represents the religious potency of girlhood’s “in-between status” to building female-centric sacred repositories. To demonstrate this dynamic, the article analyzes Mary’s stewardship over her spiritual interiority, participation in religious communities, and her engagement with voluntarism. Ultimately, this article demonstrates the necessity of incorporating age as a category of analysis into gendered reformulations of religious authority, allowing girls to be integrated into scholarly narratives of women’s religious history as actors in their own right.
The Grip of the Past
Authors: Lennon Kathleen 
Published: April 2024

Abstract
This article explores Simone de Beauvoir’s account of old people’s relationship to time in her groundbreaking Old Age. Her dominant view is that, for the old, the past is fixed and it fixes us. Here this picture of a frozen past is contrasted with Maurice Merleau-Ponty’s claim that the past is what gives “the atmosphere” to our present, providing its affective texture. This article highlights alternative and parallel strands in Beauvoir’s own thinking that challenge her dominant view.
‘Those Who Plead for Thee’
Authors: Haykin Michael A. G. 
Published: April 2024

Abstract
The Particular Baptists are often regarded as a marginal group in the panorama of British Christianity, and yet by the close of the long eighteenth century a number of sterling preachers had emerged from their ranks, including Benjamin Beddome and Robert Hall, Jr. This essay provides an overview of the fundamental ideas behind Particular Baptist preaching in the eighteenth century and details of the plain-style preaching promoted in this community.
Establishing Recapitulation as a Unique and Fully-Fledged Atonement Model
Authors: Adefope André 
Published: April 2024

Abstract
The recapitulation theme, which focuses on Jesus as the obedient Second Adam, provides insight into many theological topics. When examined in relation to the atonement though, it is regularly deemed insufficient to construct a fully developed model because it emphasises Jesus’s obedient Incarnation and life, which seemingly makes his death insignificant. Consequently, recapitulation concepts are often combined with other atonement theories to gain validity. In contrast, this article argues recapitulation theology can create a fully-fledged atonement model that makes Jesus’s death on the cross essential because his willing obedience towards God is only complete when he endures unto death. Furthermore, the cross signals total rejection of the innocent Jesus, which makes his crucifixion the climax of the biblical pattern where God’s obedient messengers are rejected.
Income-Based Disparities in Outcomes Following Pediatric Appendectomy: A National Analysis
Authors: Ali Konmal , Vadlakonda Amulya , Sakowitz Sara , Gao Zihan , Kim Shineui , Cho Nam Yong , Porter Giselle , Benharash Peyman 
Published: April 2024

Background Appendectomy remains a common pediatric surgical procedure with an estimated 80,000 operations performed each year. While prior work has reported the existence of racial disparities in postoperative outcomes, we sought to characterize potential income-based inequalities using a national cohort. Methods All non-elective pediatric (<18 years) hospitalizations for appendectomy were tabulated in the 2016-2020 National Inpatient Sample. Only those in the highest ( HI) and lowest income ( LI) quartiles were considered for analysis. Multivariable regression models were developed to assess the independent association of income and postoperative major adverse events (MAE). Results Of an estimated 87,830 patients, 36,845 (42.0%) were HI and 50,985 (58.0%) were LI. On average, LI patients were younger (11 [7-14] vs 12 [8-15] years, P < .001), more frequently insured by Medicaid (70.7 vs 27.3%, P < .05), and more commonly of Hispanic ethnicity (50.8 vs 23.4%, P < .001). Following risk adjustment, the LI cohort was associated with greater odds of MAE (adjusted odds ratio [AOR] 1.30 95% confidence interval [CI] 1.06-1.64). Specifically, low-income status was linked with increased odds of infectious (AOR 1.65, 95% CI 1.12-2.42) and respiratory (AOR 1.67, 95% CI 1.06-2.62) complications. Further, LI was associated with a $1670 decrement in costs ([2220-$1120]) and a +.32-day increase in duration of stay (95% CI [.21-.44]). Conclusion Pediatric patients of the lowest income quartile faced increased risk of major adverse events following appendectomy compared to those of highest income. Novel risk stratification methods and standardized care pathways are needed to ameliorate socioeconomic disparities in postoperative outcomes.
Walking together in friendship: Learning about cultural safety in mainstream mental health services through Aboriginal Participatory Action Research
Authors: Milroy Helen , Kashyap Shraddha , Collova Jemma , Mitchell Michael , Ryder Angela , Cox Zacharia , Coleman Mat , Taran Michael , Cuesta Briand Beatriz , Gee Graham 
Published: April 2024

Objective: Culturally safe service provision is essential to improving social and emotional wellbeing among Aboriginal and Torres Strait Islander communities, and to eliminating health inequities. Cultural safety is about ensuring that all people have a safe and healing journey through services, regardless of their cultural background. In this project, we aim to (1) understand how Aboriginal and Torres Strait Islander peoples conceptualise cultural safety, and (2) co-design a qualitative interview for the next phase of this project, where we plan to learn about experiences of cultural safety within mental health services. Methods: We conducted six focus groups (in one metro and two regional areas, Western Australia). Following an Aboriginal Participatory Action Research methodology, we yarned with Aboriginal and Torres Strait Islander mental health service users, carers, community members, mental health professionals and Cultural Healers about cultural safety. Results: Participants described a culturally safe service as one where Aboriginal cultural knowledges, life experiences, issues and protocols are understood and acknowledged, and reported that mainstream mental health services are not currently culturally safe. Participants emphasised the importance of building trust, rapport, reciprocity and following appropriate relational processes when designing a qualitative interview for the next phase. Conclusions: A lack of cultural safety in mental health services is likely to contribute to the disparity in outcomes between Aboriginal and Torres Strait Islander peoples and non-Indigenous Australians. Embedding cultural safety into research design allows for authentic community engagement and facilitates knowledge sharing around ways to improve cultural safety in mental health services.
Mining and analysis of security alert signals of valbenazine based on the Food and Drug Administration Adverse Event Reporting System database
Authors: Wang Qi , Qu Kankan , Du Zhiqiang , Shen Yuan , Jiang Ying , Zhu Haohao 
Published: April 2024

Background: Valbenazine is used for tardive movement disorders in adults. Current studies on its safety are mostly from clinical trials and small case reports, limiting information on rare adverse reactions. This study investigated valbenazine-related adverse event (AE) risk signals using the U.S. Food and Drug Administration Adverse Event Reporting System (FAERS) database. Methods: Valbenazine AEs data were collected from the FAERS database from 2017 Q2 to 2023 Q1, employing methods like reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network, and empirical Bayesian geometric mean. Results: After data cleaning and drug screening, there were 20,837 AEs primarily suspecting valbenazine, involving 26 system organ classes and 125 AEs related to valbenazine at the preferred terms level. AEs related to valbenazine were mainly concentrated in nervous system disorders, general disorders and administration site conditions, and psychiatric disorders. Eye disorders and gastrointestinal disorders are new AEs not labeled in the valbenazine instructions. In addition, some new potential AE signals were found, such as Tardive dyskinesia and eyelid function disorder. Conclusion: The common AEs of valbenazine in the real world are consistent with the instructions, but there are some newly discovered suspicious AEs.
Take It Easy! Serotonin Syndrome Precipitated by the Rapid Titration of Sertraline and Trazodone in the Setting of Risperidone Use
Authors: Martino Julie , Elfessi Zane , Szaflarska Katarzyna , Suh Melody , Antonishina Katerina 
Published: April 2024

Serotonin syndrome is a potentially life-threatening condition caused by a toxic excess of serotonin leading to overstimulation of the nervous system. Because it is a diagnosis of exclusion, it can be underrecognized, making the true incidence unknown. The classic triad of serotonin syndrome includes neuromuscular excitation, autonomic instability and altered mental status. If left unrecognized and untreated, patients are at a high risk of mortality. The most common class of medication that carries an increased risk of serotonin syndrome, when used in combination, is selective serotonin reuptake inhibitors (SSRIs); however, medications that increase serotonin production, increase serotonin release, inhibit serotonin metabolism and stimulate serotonin receptors can increase the possibility of serotonin syndrome. We report a case that details the presentation and treatment of a 25-year-old man who developed serotonin syndrome in the setting of rapid titration of risperidone, trazodone, and sertraline. The patient presented to the ED with acute agitation, diaphoresis, and altered mental status. He also had lower extremity myoclonus and was tremulous with an oral temperature of 100°F (37.8°C) and heart rate of 103 beats per minute. Serotonin syndrome was confirmed and the patient was treated successfully with benzodiazepines before being discharged from the hospital after 4 days.
An overview of current advances in perinatal alcohol exposure and pathogenesis of fetal alcohol spectrum disorders
Authors: Zeng Xingdong , Cai Yongle , Wu Mengyan , Chen Haonan , Sun Miao , Yang Hao 
Published: April 2024

AbstractThe adverse use of alcohol is a serious global public health problem. Maternal alcohol consumption during pregnancy usually causes prenatal alcohol exposure (PAE) in the developing fetus, leading to a spectrum of disorders known as fetal alcohol spectrum disorders (FASD) and even fetal alcohol syndrome (FAS) throughout the lifelong sufferers. The prevalence of FASD is approximately 7.7 per 1,000 worldwide, and is even higher in developed regions. Generally, Ethanol in alcoholic beverages can impair embryonic neurological development through multiple pathways leading to FASD. Among them, the leading mechanism of FASDs is attributed to ethanol-induced neuroinflammatory damage to the central nervous system (CNS). Although the underlying molecular mechanisms remain unclear, the remaining multiple pathological mechanisms is likely due to the neurotoxic damage of ethanol and the resultant neuronal loss. Regardless of the molecular pathway, the ultimate outcome of the developing CNS exposed to ethanol is almost always the destruction and apoptosis of neurons, which leads to the reduction of neurons and further the development of FASD. In this review, we systematically summarize the current research progress on the pathogenesis of FASD, which hopefully provides new insights into differential early diagnosis, treatment and prevention for patents with FASD.
Noisecut: a python package for noise-tolerant classification of binary data using prior knowledge integration and max-cut solutions
Authors: Samadi Moein E. , Mirzaieazar Hedieh , Mitsos Alexander , Schuppert Andreas 
Published: April 2024

Abstract
Background
Classification of binary data arises naturally in many clinical applications, such as patient risk stratification through ICD codes. One of the key practical challenges in data classification using machine learning is to avoid overfitting. Overfitting in supervised learning primarily occurs when a model learns random variations from noisy labels in training data rather than the underlying patterns. While traditional methods such as regularization and early stopping have demonstrated effectiveness in interpolation tasks, addressing overfitting in the classification of binary data, in which predictions always amount to extrapolation, demands extrapolation-enhanced strategies. One such approach is hybrid mechanistic/data-driven modeling, which integrates prior knowledge on input features into the learning process, enhancing the model’s ability to extrapolate.

Results
We present NoiseCut, a Python package for noise-tolerant classification of binary data by employing a hybrid modeling approach that leverages solutions of defined max-cut problems. In a comparative analysis conducted on synthetically generated binary datasets, NoiseCut exhibits better overfitting prevention compared to the early stopping technique employed by different supervised machine learning algorithms. The noise tolerance of NoiseCut stems from a dropout strategy that leverages prior knowledge of input features and is further enhanced by the integration of max-cut problems into the learning process.

Conclusions
NoiseCut is a Python package for the implementation of hybrid modeling for the classification of binary data. It facilitates the integration of mechanistic knowledge on the input features into learning from data in a structured manner and proves to be a valuable classification tool when the available training data is noisy and/or limited in size. This advantage is especially prominent in medical and biomedical applications where data scarcity and noise are common challenges. The codebase, illustrations, and documentation for NoiseCut are accessible for download at https://pypi.org/project/noisecut/. The implementation detailed in this paper corresponds to the version 0.2.1 release of the software.
A protein network refinement method based on module discovery and biological information
Authors: Pan Li , Wang Haoyue , Yang Bo , Li Wenbin 
Published: April 2024

AbstractBackgroundThe identification of essential proteins can help in understanding the minimum requirements for cell survival and development to discover drug targets and prevent disease. Nowadays, node ranking methods are a common way to identify essential proteins, but the poor data quality of the underlying PIN has somewhat hindered the identification accuracy of essential proteins for these methods in the PIN. Therefore, researchers constructed refinement networks by considering certain biological properties of interacting protein pairs to improve the performance of node ranking methods in the PIN. Studies show that proteins in a complex are more likely to be essential than proteins not present in the complex. However, the modularity is usually ignored for the refinement methods of the PINs.MethodsBased on this, we proposed a network refinement method based on module discovery and biological information. The idea is, first, to extract the maximal connected subgraph in the PIN, and to divide it into different modules by using Fast-unfolding algorithm; then, to detect critical modules according to the orthologous information, subcellular localization information and topology information within each module; finally, to construct a more refined network (CM-PIN) by using the identified critical modules.ResultsTo evaluate the effectiveness of the proposed method, we used 12 typical node ranking methods (LAC, DC, DMNC, NC, TP, LID, CC, BC, PR, LR, PeC, WDC) to compare the overall performance of the CM-PIN with those on the S-PIN, D-PIN and RD-PIN. The experimental results showed that the CM-PIN was optimal in terms of the identification number of essential proteins, precision-recall curve, Jackknifing method and other criteria, and can help to identify essential proteins more accurately.
Drug-Online: an online platform for drug-target interaction, affinity, and binding sites identification using deep learning
Authors: Zeng Xin , Su Guang-Peng , Li Shu-Juan , Lv Shuang-Qing , Wen Meng-Liang , Li Yi 
Published: April 2024

Abstract
Background
Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target. Although there are a few online platforms based on deep learning for drug-target interaction, affinity, and binding sites identification, there is currently no integrated online platforms for all three aspects.

Results
Our solution, the novel integrated online platform Drug-Online, has been developed to facilitate drug screening, target identification, and understanding the functions of target in a progressive manner of “interaction-affinity-binding sites”. Drug-Online platform consists of three parts: the first part uses the drug-target interaction identification method MGraphDTA, based on graph neural networks (GNN) and convolutional neural networks (CNN), to identify whether there is a drug-target interaction. If an interaction is identified, the second part employs the drug-target affinity identification method MMDTA, also based on GNN and CNN, to calculate the strength of drug-target interaction, i.e., affinity. Finally, the third part identifies drug-target binding sites, i.e., pockets. The method pt-lm-gnn used in this part is also based on GNN.

Conclusions
Drug-Online is a reliable online platform that integrates drug-target interaction, affinity, and binding sites identification. It is freely available via the Internet at http://39.106.7.26:8000/Drug-Online/.
GenoMycAnalyzer: a web-based tool for species and drug resistance prediction for Mycobacterium genomes
Authors: Kim Doyoung , Shin Jeong-Ih , Yoo In Young , Jo Sungjin , Chu Jiyon , Cho Woo Young , Shin Seung-Hun , Chung Yeun-Jun , Park Yeon-Joon , Jung Seung-Hyun 
Published: April 2024

Abstract
Background
Drug-resistant tuberculosis (TB) is a major threat to global public health. Whole-genome sequencing (WGS) is a useful tool for species identification and drug resistance prediction, and many clinical laboratories are transitioning to WGS as a routine diagnostic tool. However, user-friendly and high-confidence automated bioinformatics tools are needed to rapidly identify M. tuberculosis complex (MTBC) and non-tuberculous mycobacteria (NTM), detect drug resistance, and further guide treatment options.

Results
We developed GenoMycAnalyzer, a web-based software that integrates functions for identifying MTBC and NTM species, lineage and spoligotype prediction, variant calling, annotation, drug-resistance determination, and data visualization. The accuracy of GenoMycAnalyzer for genotypic drug susceptibility testing (gDST) was evaluated using 5,473 MTBC isolates that underwent phenotypic DST (pDST). The GenoMycAnalyzer database was built to predict the gDST for 15 antituberculosis drugs using the World Health Organization mutational catalogue. Compared to pDST, the sensitivity of drug susceptibilities by the GenoMycAnalyzer for first-line drugs ranged from 95.9% for rifampicin (95% CI 94.8–96.7%) to 79.6% for pyrazinamide (95% CI 76.9–82.2%), whereas those for second-line drugs ranged from 98.2% for levofloxacin (95% CI 90.1–100.0%) to 74.9% for capreomycin (95% CI 69.3–80.0%). Notably, the integration of large deletions of the four resistance-conferring genes increased gDST sensitivity. The specificity of drug susceptibilities by the GenoMycAnalyzer ranged from 98.7% for amikacin (95% CI 97.8–99.3%) to 79.5% for ethionamide (95% CI 76.4–82.3%). The incorporated Kraken2 software identified 1,284 mycobacterial species with an accuracy of 98.8%. GenoMycAnalyzer also perfectly predicted lineages for 1,935 MTBC and spoligotypes for 54 MTBC.

Conclusions
GenoMycAnalyzer offers both web-based and graphical user interfaces, which can help biologists with limited access to high-performance computing systems or limited bioinformatics skills. By streamlining the interpretation of WGS data, the GenoMycAnalyzer has the potential to significantly impact TB management and contribute to global efforts to combat this infectious disease. GenoMycAnalyzer is available at http://www.mycochase.org.