bluuebunny/crossref_metadata_2025_split huggingface dataset:
Craving for a Robust Methodology: A Systematic Review of Machine Learning Algorithms on Substance-Use Disorders Treatment Outcomes
Authors: de Mattos Bernardo Paim , Mattjie Christian , Ravazio Rafaela , Barros Rodrigo C. , Grassi-Oliveira Rodrigo 
Published: October 2024

AbstractSubstance use disorders (SUDs) pose significant mental health challenges due to their chronic nature, health implications, impact on quality of life, and variability of treatment response. This systematic review critically examines the application of machine learning (ML) algorithms in predicting and analyzing treatment outcomes in SUDs. Conducting a thorough search across PubMed, Embase, Scopus, and Web of Science, we identified 28 studies that met our inclusion criteria from an initial pool of 362 articles. The MI-CLAIM and CHARMS instruments were utilized for methodological quality and bias assessment. Reviewed studies encompass an array of SUDs, mainly opioids, cocaine, and alcohol use, predicting outcomes such as treatment adherence, relapse, and severity assessment. Our analysis reveals a significant potential of ML models in enhancing predictive accuracy and clinical decision-making in SUD treatment. However, we also identify critical gaps in methodological consistency, transparency, and external validation among the studies reviewed. Our review underscores the necessity for standardized protocols and best practices in applying ML within SUD while providing recommendations and guidelines for future research.
History, Hype, and Responsible Psychedelic Medicine: A Qualitative Study of Psychedelic Researchers
Authors: Barber Michaela , Gardner John , Carter Adrian 
Published: October 2024

AbstractBackground Psychedelic medicine is a rapidly growing area of research and policy change. Australia recently became the first country to legalize the prescription of psychedelics and serves as a case study of issues that may emerge in other jurisdictions. Despite their influence as a stakeholder group, there has been little empirical exploration of psychedelic researchers’ views on the development of psychedelic research and the ethical concerns. Methods We thematically analysed fourteen interviews with Australian psychedelic researchers. Results Three themes were constructed from the data: 1) coming out of the shadow of the 1960s, 2) challenges and affordances in engaging stakeholders, and 3) growing pains in innovation and translation. Conclusion The results illustrated tensions arising from the rapid growth of psychedelic research from a small group of dedicated individuals with a similar worldview, to a multi-interest, regulated industry. Participants’ experiences and viewpoints were influenced by the history of psychedelic research, and this was met with an overarching concern for protecting the field from premature discontinuation, as well as maximizing potential positive impacts. Targets for stakeholder collaboration and initiatives to support responsible innovation in psychedelics include equitable access, sustainable industry involvement, productive research agendas, responsible reporting of evidence, and risk-taking within the relative safety of clinical trials.
NMR assignment of the conserved bacterial DNA replication protein DnaA domain IV
Authors: Abrams Alexander Nguyen , Kelly Geoff , Hubbard Julia 
Published: October 2024

AbstractChromosomal replication is a ubiquitous and essential cellular process. In bacteria, the master replication initiator DnaA plays a key role in promoting an open complex at the origin (oriC) and recruiting helicase in a tightly regulated process. The C-terminal domain IV specifically recognises consensus sequences of double-stranded DNA in oriC, termed DnaA-boxes, thereby facilitating the initial engagement of DnaA to oriC. Here, we report the 13Cβ and backbone 1H, 15N, and 13C chemical shift assignments of soluble DnaA domain IV from Bacillus subtilis at pH 7.6 and 298 K.
4D-Flow MRI and Vector Ultrasound in the In-Vitro Evaluation of Surgical Aortic Heart Valves – a Pilot Study
Authors: Stephan Henrik , Grefen Linda , Clevert Dirk , Onkes Meike , Ning Jin , Thierfelder Nikolaus , Mela Petra , Hagl Christian , Curta Adrian , Grab Maximilian 
Published: October 2024

AbstractIntroduction: The aim of this study was the initial investigation of 4D-Flow MRI and Vector Ultrasound as novel imaging techniques in the in-vitro analysis of hemodynamics in anatomical models. Specifically, by looking at the hemodynamic performance of state-of-the-art surgical heart valves in a 3D-printed aortic arch.Methods: The mock circulatory loop simulated physiological, pulsatile flow. Two mechanical and three biological aortic valves prostheses were compared in a 3D-printed aortic arch. 4D magnetic resonance imaging and vector flow Doppler ultrasound served as imaging methods. Hemodynamic parameters such as wall shear stress, flow velocities and pressure gradients were analyzed.Results: The flow analysis revealed characteristic flow-patterns in the 3D-printed aortic arch. The blood-flow in the arch presented complex patterns, including the formation of helixes and vortices. Higher proximal peak velocities and lower flow volumes were found for biological valves.Conclusion: The mock circulatory loop in combination with modern radiological imaging provides a sufficient basis for the hemodynamic comparison of aortic valves.
Graphical Abstract
Perspectives of an NCI T32 Training Program Designed to Train a Diverse Workforce in Cancer Health Equity Research
Authors: Ferguson Mackenzie A. , Tussing Humphreys Lisa , Chukwudozie Ifeanyi Beverly , Wright Margaret E. , Peterson Caryn E. , Fitzgibbon Marian L. , McLeod Andrew 
Published: October 2024

AbstractWith cancer health disparities on the rise in the United States (USA), there is an increased need for novel approaches to address these challenges. One such approach that may help address these disparities is increasing diversity in the biomedical research workforce. The Cancer Health Equity and Career Development Program (CHECDP) embodies this approach by recruiting and training underrepresented minorities in cancer research to develop the skills and training needed to be competitive for independent research careers, thus diversifying the biomedical research workforce. The training model that CHECDP employs is unique with its funding through the NCI training mechanism, its strong institutional support, and its participant-driven curriculum. The curriculum includes educational, career, and leadership opportunities that are continuously evaluated for sustained impact. The program has been comprised of mostly under-represented minorities that have been propelled to independent careers with a high rate of funded career development awards. Our T32 program serves as a model of success for other programs seeking to diversify the biomedical research workforce and reduce cancer health disparities.
Biotic stress and yield stability in English organic silvoarable agroforestry
Authors: Tosh Colin R. , Staton Tom , Costanzo Ambrogio , Simonson Will 
Published: October 2024

AbstractIn-field trees are thought to buffer arable crops from climate extremes through the creation of microclimates that may reduce the impacts of heat, wind, and cold. Much less is known about how trees and their biotic interactions (e.g. with natural enemies of pests and wild understory plants) impact crop yield stability to biotic stresses such as crop pests and disease. Modelling these interactions using conventional approaches is complex and time consuming, and we take a simplified approach, representing the agroecosystem as a Boolean regulatory network and parameterising Boolean functions using expert opinion. This allies our approach with decision analysis, which is increasingly finding applications in agriculture. Despite the naivety of our model, we demonstrate that it outputs complex and realistic agroecosystem dynamics. It predicts that, in English silvoarable, the biotic interactions of in-field trees boost arable crop yield overall, but they do not increase yield stability to biotic stress. Sensitivity analysis shows that arable crop yield is very sensitive to disease and weeds. We suggest that the focus of studies and debate on ecosystem service provision by English agroforestry needs to shift from natural enemies and pests to these ecosystem components. We discuss how our model can be improved through validation and parameterisation using real field data. Finally, we discuss how our approach can be used to rapidly model systems (agricultural or otherwise) than can be represented as dynamic interaction networks.
Economic optimization of sustainable soil management: a Dutch case study
Authors: Kik M. C. , Claassen G. D. H. , Meuwissen M. P. M. , Ros G. H. , Smit A. B. , Saatkamp H. W. 
Published: October 2024

AbstractSoil quality is pivotal for crop productivity and the environmental quality of agricultural ecosystems. Achieving sufficient yearly income and long-term farm continuity are key goals for farmers, making sustainable soil management an economic challenge. Existing bio-economic models often inadequately address soil quality. In this study, we apply the novel FARManalytics model, which integrates chemical, physical, and biological indicators of soil quality indicator, quantitative rules on how these indicators respond to farmers’ production management over time, and an economic calculation framework that accurately calculates the contribution of production management decisions towards farm income. This is the first study applying this model on existing arable farms. FARManalytics optimizes crop rotation design, cover crops, manure and fertilizer application and crop residue management. Nine Dutch arable farms were analyzed with a high variation in farm size, soil type, and cultivated crops. First, we assessed farm differences in soil quality and farm economics. Second, we optimized production management to maximize farm income while meeting soil quality targets using farm-specific scenarios. Third, we explored the impact of recent policy measures to preserve water quality and to increase the contribution of local protein production. The results show that the case farms already perform well regarding soil quality, with 75% of the soil quality indicators above critical levels. The main soil quality bottlenecks are subsoil compaction and soil organic matter input. We show that even in front-runner farms, bio-economic modeling with FARManalytics substantially improves economic performance while increasing soil quality. We found that farm income could be increased by up to €704 ha−1 year−1 while meeting soil quality targets. Additionally, we show that to anticipate on stricter water quality regulation and market shift for protein crops, FARManalytics is able to provide alternative production management strategies that ensure the highest farm income while preserving soil quality for a set of heterogenous farms.
Rescheduling master surgical schedules via answer set programming
Authors: Galatà Giuseppe , Maratea Marco , Marte Cinzia , Mochi Marco 
Published: October 2024

AbstractThe problem of finding a Master Surgical Schedule (MSS) consists of scheduling different specialties to the operating rooms of a hospital clinic. To produce a proper MSS, each specialty must be assigned to some operating room. The number of assignments is different for each specialty and can vary during the considered planning horizon. Realizing a satisfying schedule is of upmost importance for a hospital clinic: recently, a compact solution based on the logic-based methodology of Answer Set Programming (ASP) to the MSS problem has been introduced and tested on synthetic data, with satisfying results. However, even more important is to be able to (i) reschedule efficiently in case a computed schedule cannot be fully implemented due to unavailability, and (ii) test the obtained solution on real data. In this paper, we design and implement a rescheduling solution based on ASP, and test both our scheduling and rescheduling solutions on real data from ASL1 Liguria in Italy. The experiments show that our ASP solutions provide satisfying results, also when tested on real data.
Feasibility and Safety of Targeting Mitochondria Function and Metabolism in Acute Myeloid Leukemia
Authors: Firmanty Patryk , Chomczyk Monika , Dash Shubhankar , Konopleva Marina , Baran Natalia 
Published: October 2024

Abstract
Purpose of Review
Acute myeloid leukemia (AML) is a clonal blood neoplasm with dismal prognosis. Despite the introduction of many novel targeted agents, cytotoxic chemotherapy has remained the standard of care for AML. Differences in mitochondrial metabolism between normal and leukemic cells can be targeted by novel AML therapies, but these agents require a comprehensive efficacy and cytotoxicity evaluation.

Recent Findings
Metabolic alterations in AML blasts increase their sensitivity to therapies targeting mitochondrial metabolism. Targeting altered mitochondrial metabolism, that is crucial for leukemia cell growth and survival, could be a breakthrough in AML treatment. Therefore, BH3 family proteins, mitochondrial complexes, the tricarboxylic acid cycle, and amino acid (AA) and fatty acid metabolism are common treatment targets in AML. Although many drugs targeting these vulnerabilities showed acceptable safety profiles and promising efficacy in preclinical studies, clinical trials often do not confirm these results limited by narrow therapeutic window. The most effective regimens are based on drug combinations with synergistic or additive activity.

Summary
In this review, we present an overview of the most recent studies targeting mitochondrial metabolism in AML. We highlight that targeting of the specific energy metabolism dependencies of AML blasts provides an opportunity to achieve long-term responses with a reasonable safety profile. We emphasize that currently used drugs and their combinations display dose-limiting toxicities or are not efficient enough to completely eradicate leukemic stem cells. Thus, further studies of complex metabolic rewiring of leukemia cells before and after combinatorial therapies are warranted.
Optimization Strategies of Na3V2(PO4)3 Cathode Materials for Sodium-Ion Batteries
Authors: Hu Jiawen , Li Xinwei , Liang Qianqian , Xu Li , Ding Changsheng , Liu Yu , Gao Yanfeng 
Published: October 2024

AbstractNa3V2(PO4)3 (NVP) has garnered great attentions as a prospective cathode material for sodium-ion batteries (SIBs) by virtue of its decent theoretical capacity, superior ion conductivity and high structural stability. However, the inherently poor electronic conductivity and sluggish sodium-ion diffusion kinetics of NVP material give rise to inferior rate performance and unsatisfactory energy density, which strictly confine its further application in SIBs. Thus, it is of significance to boost the sodium storage performance of NVP cathode material. Up to now, many methods have been developed to optimize the electrochemical performance of NVP cathode material. In this review, the latest advances in optimization strategies for improving the electrochemical performance of NVP cathode material are well summarized and discussed, including carbon coating or modification, foreign-ion doping or substitution and nanostructure and morphology design. The foreign-ion doping or substitution is highlighted, involving Na, V, and PO43− sites, which include single-site doping, multiple-site doping, single-ion doping, multiple-ion doping and so on. Furthermore, the challenges and prospects of high-performance NVP cathode material are also put forward. It is believed that this review can provide a useful reference for designing and developing high-performance NVP cathode material toward the large-scale application in SIBs.
Teacher Professional Learning and Development Research in Aotearoa New Zealand: A Scoping Review of Literature, 2010–2023
Authors: McChesney Katrina , Gurney Laura , Chivers Melanie 
Published: October 2024

AbstractTeacher professional learning and development are critical to educational improvement efforts and teacher professional growth. Such learning and development can be facilitated in a range of ways, including more traditional ‘workshop style’ training programmes as well as coaching, mentoring, advisory support, teacher inquiry, and other activities that can contribute to teacher learning and change. Despite the extensive time, financial, and human resources invested in teacher professional learning and development in Aotearoa New Zealand every year, it is over 15 years since research on teacher development in this country was brought together in a published review. This paper presents a scoping review of n = 178 primary studies published in English in 2010–2023 that focus on teacher professional development in the Aotearoa New Zealand schooling sector. Looking across this body of literature, we provide a quantitative overview of characteristics of the literature base and identify shifts, trends, strengths, gaps, imbalances, and directions for future research. This paper offers a timely summary and synthesis of recent research on teacher professional development in Aotearoa New Zealand and also offers challenges and recommendations for researchers working in this area.
Lexical interference and prediction in sentence processing among Russian heritage speakers: an individual differences approach
Authors: Prystauka Yanina , Hao Jiuzhou , Cabrera Perez Reinaldo , Rothman Jason 
Published: October 2024

AbstractIn line with emerging trends examining sentence processing in heritage language (HL) bilingualism and adopting an individual differences approach, the present study investigated the role of prediction and lexical interference in 68 Russian HL bilinguals in North America. The former was investigated by examining how Russian HL bilinguals processed sentences with semantically constraining verbs, whereas the latter was assessed examining how contextually globally irrelevant but locally coherent color word information is processed. The findings revealed that, as a group, participants demonstrated predictive processing and were subject to lexical interference. To understand inter-participant variation, we examined the roles prediction and/or interference play as a function of individual differences in cognitive control (as measured by a Flanker task), performance on vocabulary and gender knowledge tasks as well as participants’ individual language history and use (LHQ3, Li et al., Biling Lang Cogn 23:938–944, 2020). Indeed, these analyses revealed that individual language knowledge and domain-general cognitive control play crucial roles in how prediction and/or interference play out in HL processing.
Adverse Childhood Experiences and Resilience: Racial Differences and Coping Style as a Mediator
Authors: Hillebrant-Openshaw Madisen , Wong Maria 
Published: October 2024

Abstract Individuals with adverse childhood experiences (ACEs) are at risk for many negative outcomes such as poor mental and physical health. Previous research suggests that coping styles may explain the relationship between ACEs and these outcomes. Further, Black and White individuals have been shown to cope with stressful events differently. However, we do not fully understand if ACEs differentially predict the use of certain coping styles in these two racial groups, or if certain coping styles can explain why individuals of each racial group are less resilient. The current study aimed to expand the field’s knowledge of the mediating role of coping styles on the relationship between ACEs and resilience. Additionally, we examined whether there are racial differences in the relationships within these mediation models. 548 Black and White participants were recruited for an online short-term longitudinal study via Mechanical Turk. Participants filled out questionnaires measuring ACEs, coping styles, and resilience at two time points, 3 months apart. Avoidant and vigilant coping mediated the relationship between ACEs and resilience such that greater ACEs increased the likelihood of avoidant and vigilant coping, which reduced resilience. Further, White individuals had greater increases in avoidant and vigilant coping with each additional ACE compared to Black individuals, and White participants had a greater reduction in resilience with increases in vigilant coping compared to Black participants. The implications of these findings on prevention and intervention programs for individuals with ACEs are discussed.
Trust and Inclusion in Digital Health: The Need to Transform Consent
Authors: Brightwell Celia , Brückner Stefanie , Halpern Orit , Gilbert Stephen 
Published: October 2024

Abstract
As health systems increasingly adopt digital solutions, such as remote monitoring and telemedicine, the use of health apps is becoming increasingly widespread. Meanwhile, data protection regulations and digital transformation initiatives are making the individual responsible for protecting their health data. In this brief communication, we focus on how the consent interface in a health app can impact trust and inclusion in digital health for privacy-sensitive people. As the consent interface determines how an individual’s health data can be used in medical research, it represents a critical point between the citizen’s right to informational self-determination and the potential public benefit of advances in medical science. We find that app developers’ interests in controlling access to health data may influence the design of the consent interface and undermine an individual’s ability to understand what they are consenting to. We describe how a standardized consent interface applied to health apps could foster a trusting relationship between individuals and the digital transformation of healthcare.
Legislative Oversight and Control of Independent Portfolios: Government and Opposition Dynamics
Authors: Block Sebastian 
Published: October 2024

AbstractResearch on legislative control dynamics has extensively examined how political parties use legislative tools to control portfolios and their respective heads in coalition governments. However, research has focused on partisan-run portfolios and has overlooked how control dynamics are affected when portfolio heads are independent, thus not affiliated with any party. This article addresses this gap by analysing parliamentary questions from 28 German city councils to determine how independent portfolios are controlled relative to partisan portfolios. The results show that all parties control independent portfolios more intensely than partisan portfolios. This is the case for both governing parties and opposition parties. However, while government parties control independent portfolios more than partisan portfolios, they still do so to a lesser extent than opposition parties.