bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consensus building on definitions and types of child maltreatment to improve recording and surveillance in Europe: protocol for a multi-sectoral, European, electronic Delphi study
Authors: Nurmatov Ulugbek , Cowley Laura Elizabeth , Rodrigues Leonor Bettencourt , Naughton Aideen , Debelle Geoff , Alfandari Ravit , Lamela Diogo , Otterman Gabriel , Jud Andreas , Ntinapogias Athanasios , Laajasalo Taina , Soldino Virginia , Stancheva Vaska , Caenazzo Luciana , Vaughan Rachael , Christian Cindy W , Drabarek Katarzyna , Kemp Alison Mary , Hurt Lisa 
Published: December 2023

IntroductionChild maltreatment (CM) is a complex global public health issue with potentially devastating effects on individuals’ physical and mental health and well-being throughout the life course. A lack of uniform definitions hinders attempts to identify, measure, respond to, and prevent CM. The aim of this electronic Delphi (e-Delphi) study is to build consensus on definitions and types of CM for use in surveillance and multi-sectoral research in the 34 countries in the Euro-CAN (Multi-Sectoral Responses to Child Abuse and Neglect in Europe) project (COST Action CA19106).Methods and analysisThe e-Delphi study will consist of a maximum of three rounds conducted using an online data collection platform. A multi-disciplinary expert panel consisting of researchers, child protection professionals (health and social care), police, legal professionals and adult survivors of CM will be purposefully recruited. We will approach approximately 100 experts, with between 50 and 60 of these anticipated to take part. Participants will rate their agreement with a range of statements relating to operational definitions and types of CM, and free-text comments on each of the statements to give further detail about their responses and areas of uncertainty. Consensus has been defined a priori as ≥70% of the panel agreeing or disagreeing with the statement after the final round. The responses to the open-ended questions will be analysed using a ‘codebook’ approach to thematic analysis, and used to refine the statements between rounds where no consensus is reached.Ethics and disseminationEthical approval has been granted from the Cardiff University School of Medicine ethics committee (reference number SMREC22/96). Results will be submitted for publication in a peer-reviewed journal and presented at workshops (including for the participants) and international academic conferences. The Euro-CAN network will also be used to disseminate the results, with results briefings and presentations to key public health and other relevant organisations in the field.
Understanding and addressing changing administrative workload in primary care in Canada: protocol for a mixed-method study
Authors: Lavergne M Ruth , Moravac Catherine , Bergin Fiona , Buote Richard , Easley Julie , Grudniewicz Agnes , Hedden Lindsay , Leslie Myles , McKay Madeleine , Marshall Emily Gard , Martin-Misener Ruth , Mooney Melanie , Palmer Erin , Tracey Joshua 
Published: December 2023

IntroductionMany Canadians struggle to access the primary care they need while at the same time primary care providers report record levels of stress and overwork. There is an urgent need to understand factors contributing to the gap between a growing per-capita supply of primary care providers and declines in the availability of primary care services. The assumption of responsibility by primary care teams for services previously delivered on an in-patient basis, along with a rise in administrative responsibilities may be factors influencing reduced access to care.Methods and analysisIn this mixed-methods study, our first objective is to determine how the volume of services requiring primary care coordination has changed over time in the Canadian provinces of Nova Scotia and New Brunswick. We will collect quantitative administrative data to investigate how services have shifted in ways that may impact administrative workload in primary care. Our second objective is to use qualitative interviews with family physicians, nurse practitioners and administrative team members providing primary care to understand how administrative workload has changed over time. We will then identify priority issues and practical response strategies using two deliberative dialogue events convened with primary care providers, clinical and system leaders, and policy-makers.We will analyse changes in service use data between 2001/2002 and 2021/2022 using annual total counts, rates per capita, rates per primary care provider and per primary care service. We will conduct reflexive thematic analysis to develop themes and to compare and contrast participant responses reflecting differences across disciplines, payment and practice models, and practice settings. Areas of concern and potential solutions raised during interviews will inform deliberative dialogue events.Ethics and disseminationWe received research ethics approval from Nova Scotia Health (#1028815). Knowledge translation will occur through dialogue events, academic papers and presentations at national and international conferences.
Effectiveness, acceptability, and completeness and quality of intervention reporting of psychological interventions for people with dementia or mild cognitive impairment: protocol for a mixed-methods systematic review
Authors: Svedin Frida , Blomberg Oscar , Farrand Paul , Brantnell Anders , von Essen Louise , Åberg Anna Cristina , Woodford Joanne 
Published: December 2023

IntroductionMental health difficulties such as anxiety and depression have negative impacts on psychological well-being and are common in people with dementia and mild cognitive impairment. However, access to psychological treatments is limited. This mixed-method systematic review will: (1) examine the effectiveness of psychological interventions to improve mental health and psychological well-being in people with dementia or mild cognitive impairment; (2) examine the effectiveness of these psychological interventions to improve mental health and psychological well-being in informal caregivers; (3) examine potential clinical and methodological moderators associated with effectiveness; (4) explore factors associated with the acceptability of psychological interventions from the perspective of key stakeholders; and (5) examine the completeness and quality of intervention reporting.Methods and analysisElectronic databases (ASSIA, CENTRAL, CINAHL, EMBASE, PsycINFO and MEDLINE) will be systematically searched and supplemented with expert contact, reference and citation checking, and grey literature searches. If possible, we will conduct a meta-analysis to examine the overall effectiveness of psychological interventions to improve mental health and psychological well-being in people with dementia or mild cognitive impairment and their informal caregivers; and examine potential clinical and methodological moderators associated with effectiveness. We will conduct a deductive framework synthesis, informed by the theoretical framework of acceptability, to explore factors associated with the acceptability of psychological interventions from the perspective of key stakeholders. In accordance with Joanna Briggs Institute guidance, we will adopt a convergent segregated approach to data synthesis and integration of quantitative and qualitative findings. We will examine the completeness and quality of intervention reporting according to the Template for Intervention Description and Replication checklist and guide.Ethics and disseminationNo primary data will be collected, and therefore, ethical approval is not required. Results will be disseminated through a peer-reviewed publication, academic conferences, and plain language summaries.PROSPERO registration numberCRD42023400514.
Patterns and predictors of racial/ethnic disparities in HIV care continuum in the Southern USA: protocol for a population-based cohort study
Authors: Yang Xueying , Zhang Jiajia , Olatosi Bankole , Li Zhenlong , Weissman Sharon , Li Xiaoming 
Published: December 2023

IntroductionHealth disparities exist at every step of the HIV care continuum (HCC) among racial/ethnic minority population. Such racial/ethnic disparities may have significantly delayed the progress in HCC in the Southern US states that are strongly represented among geographic focus areas in the 2019 federal initiative titled ‘Ending the HIV Epidemic: A Plan for America’. However, limited efforts have been made to quantify the long-term spatiotemporal variations of HCC disparities and their contributing factors over time, particularly in the context of COVID-19 pandemic. This project aims to identify the spatiotemporal patterns of racial disparities of each HCC outcome and then determine the contribution of contextual features for temporal change of disparities in HCC.Methods and analysisThis cohort study will use statewide HIV cohort data in South Carolina, including all people living with HIV (PLWH) who were diagnosed with HIV in 2005–2020. The healthcare encounter data will be extracted from longitudinal EHR from six state agencies and then linked to aggregated county-level community and social structural-level data (eg, structural racism, COVID-19 pandemic) from multiple publicly available data sources. The South Carolina Revenue of Fiscal and Affairs will serve as the honest broker to link the patient-level and county-level information. We will first quantify the HCC-related disparities by creating a county-level racial/ethnic disparity index (RDI) for each key HCC outcomes (eg, HIV testing, timely diagnosis), examine the temporal patterns of each RDI over time and then using geographical weighted lasso model examine which contextual factors have significant impacts on the change of county-level RDI from 2005 to 2020.Ethics and disseminationThe study was approved by the Institutional Review Board at the University of South Carolina (Pro00121718) as a Non-Human Subject study. The study’s findings will be published in peer-reviewed journals and disseminated at national and international conferences and through social media.
Identifying sports chiropractic global research priorities: an international Delphi study of sports chiropractors
Authors: Belchos Melissa , Lee Alexander D , de Luca Katie , Perle Stephen M , Myburgh Corrie , Mior Silvano 
Published: December 2023

ObjectivesDeveloping a research agenda is one method to facilitate broad research planning and prioritise research within a discipline. Despite profession-specific agendas, none have specifically addressed the research needs of the specialty of sports chiropractic. This study determined consensus on research priorities to inform a global sports chiropractic research agenda.MethodsA Delphi consensus methodology was used to integrate expert opinions. Clinicians, academics and leaders from the international sports chiropractic specialty were recruited using purposive sampling to participate in (1) a Delphi panel involving three voting rounds to determine consensus on research priorities and (2) a priority importance ranking of the items that reached consensus.ResultsWe identified and contacted 141 participants, with response rates for rounds 1, 2 and 3, of 44%, 31% and 34%, respectively. From the original 149 research priorities, 66 reached consensus in round 1, 63 in round 2 and 45 items in round 3. Research priorities reaching consensus were collapsed by removing redundancies, and priority ranking identified 20 research priorities, 11 related to collaboration and 6 to research themes.ConclusionsThe top-ranked items for research priorities, research themes and collaborations included the effects of interventions on performance, recovery and return to play; clinical research in sport; and collaborations with researchers in chiropractic educational institutions, respectively.ImplicationsThe prioritisation of research items can be evaluated by key stakeholders (including athletes) and implemented to develop the first international research agenda for sports chiropractic.
Posture analysis in predicting fall-related injuries during French Navy Special Forces selection course using machine learning: a proof-of-concept study
Authors: Verdonk Charles , Duffaud A M , Longin A , Bertrand M , Zagnoli F , Trousselard M , Canini F 
Published: December 2023

IntroductionInjuries induced by falls represent the main cause of failure in the French Navy Special Forces selection course. In the present study, we made the assumption that probing the posture might contribute to predicting the risk of fall-related injury at the individual level.MethodsBefore the start of the selection course, the postural signals of 99 male soldiers were recorded using static posturography while they were instructed to maintain balance with their eyes closed. The event to be predicted was a fall-related injury during the selection course that resulted in the definitive termination of participation. Following a machine learning methodology, we designed an artificial neural network model to predict the risk of fall-related injury from the descriptors of postural signal.ResultsThe neural network model successfully predicted with 69.9% accuracy (95% CI 69.3–70.5) the occurrence of a fall-related injury event during the selection course from the selected descriptors of the posture. The area under the curve value was 0.731 (95% CI 0.725–0.738), the sensitivity was 56.8% (95% CI 55.2–58.4) and the specificity was 77.7% (95% CI 76.8–0.78.6).ConclusionIf confirmed with a larger sample, these findings suggest that probing the posture using static posturography and machine learning-based analysis might contribute to inform risk assessment of fall-related injury during military training, and could ultimately lead to the development of novel programmes for personalised injury prevention in military population.
Computational social science is growing up: why puberty consists of embracing measurement validation, theory development, and open science practices
Authors: Elmer Timon 
Published: December 2023

AbstractPuberty is a phase in which individuals often test the boundaries of themselves and surrounding others and further define their identity – and thus their uniqueness compared to other individuals. Similarly, as Computational Social Science (CSS) grows up, it must strike a balance between its own practices and those of neighboring disciplines to achieve scientific rigor and refine its identity. However, there are certain areas within CSS that are reluctant to adopt rigorous scientific practices from other fields, which can be observed through an overreliance on passively collected data (e.g., through digital traces, wearables) without questioning the validity of such data. This paper argues that CSS should embrace the potential of combining both passive and active measurement practices to capitalize on the strengths of each approach, including objectivity and psychological quality. Additionally, the paper suggests that CSS would benefit from integrating practices and knowledge from other established disciplines, such as measurement validation, theoretical embedding, and open science practices. Based on this argument, the paper provides ten recommendations for CSS to mature as an interdisciplinary field of research.
Effects of complete slip conditions on the peristaltic pumping of a Casson nanofluid with suction and injection in a vertical channel
Authors: Vijayakumar P. , Reddy R. Hemadri 
Published: December 2023

This study investigates the effects of complete slip conditions on the peristaltic pumping of a Casson nanofluid with suction and injection in a vertical due to the crucial role that nano liquids play in a variety of technological and medical fields, particularly in peristalsis, a mechanism that transports liquids. The Casson fluid belongs to a class of non-Newtonian fluids that, through a particular stress threshold magnitude, exhibit elastic solid behavior before changing to liquid behavior. These fluids have several uses in engineering, food preparation, drilling and other fields. After establishing the governing conservation equations, the resulting flow model is effectively simulated using the realistic assumptions of a long wavelength and a low Reynolds number. The temperature distributions, velocity, pressure rate per wavelength and nanoparticle concentration of the resulting flow problem have been solved analytically. The effects of all physical factors on temperature, velocity, concentration fields, pressure rate, frictional force and pressure gradient are graphically examined using Wolfram MATHEMATICA software. There are a variety of biofluids that cannot be classified as liquids. For example, blood contains WBC, RBC and plasma. It is essential to model biofluids (blood) as nanofluids given the physical properties of these biofluids. According to reports, one of the finest yield stress models is the Casson model, and blood exhibits a similar behavior. We took these facts into consideration when thinking about Casson nanofluid flow in a vertical layer under peristalsis. Additionally, the suction and injection mechanisms can be used to represent the exchange of carbon dioxide in bold. In order to understand how blood flows through small blood vessels, this model must be examined. The obtained results show that the Newtonian case and those found in the literature have a very good agreement. Since the liquid moves faster and more effectively when the value is increased, it becomes clear that this increases the strength of the velocity. In other words, nanoperistaltic pumps can maintain a pressure differential that increases or decreases at all operating flow rates with an increasing thermophoresis effect. Furthermore, it is obvious that the pressure reduction in a Casson fluid is greater than in a Newtonian fluid.
The distribution of sample mean-variance portfolio weights
Authors: Kan Raymond , Lassance Nathan , Wang Xiaolu 
Published: December 2023

We present a simple stochastic representation for the joint distribution of sample estimates of three scalar parameters and two vectors of portfolio weights that characterize the minimum-variance frontier. This stochastic representation is useful for sampling observations efficiently, deriving moments in closed-form, and studying the distribution and performance of many portfolio strategies that are functions of these five variables. We also present the asymptotic joint distributions of these five variables for both the standard regime and the high-dimensional regime. Both asymptotic distributions are simpler than the finite-sample one, and the one for the high-dimensional regime, i.e. when the number of assets and the sample size go together to infinity at a constant rate, reveals the high-dimensional properties of the considered estimators. Our results extend upon T. Bodnar, H. Dette, N. Parolya and E. Thorstén [Sampling distributions of optimal portfolio weights and characteristics in low and large dimensions, Random Matrices: Theory Appl. 11 (2022) 2250008].
GEqO: ML-Accelerated Semantic Equivalence Detection
Authors: Haynes Brandon , Alotaibi Rana , Pavlenko Anna , Leeka Jyoti , Jindal Alekh , Tian Yuanyuan 
Published: December 2023

Large scale analytics engines have become a core dependency for modern data-driven enterprises to derive business insights and drive actions. These engines support a large number of analytic jobs processing huge volumes of data on a daily basis, and workloads are often inundated with overlapping computations across multiple jobs. Reusing common computation is crucial for efficient cluster resource utilization and reducing job execution time. Detecting common computation is the first and key step for reducing this computational redundancy. However, detecting equivalence on large-scale analytics engines requires efficient and scalable solutions that are fully automated. In addition, to maximize computation reuse, equivalence needs to be detected at the semantic level instead of just the syntactic level (i.e., the ability to detect semantic equivalence of seemingly different-looking queries). Unfortunately, existing solutions fall short of satisfying these requirements.In this paper, we take a major step towards filling this gap by proposing GEqO, a portable and lightweight machine-learning-based framework for efficiently identifying semantically equivalent computations at scale. GEqO introduces two machine-learning-based filters that quickly prune out nonequivalent subexpressions and employs a semi-supervised learning feedback loop to iteratively improve its model with an intelligent sampling mechanism. Further, with its novel database-agnostic featurization method, GEqO can transfer the learning from one workload and database to another. Our extensive empirical evaluation shows that, on TPC-DS-like queries, GEqO yields significant performance gains-up to 200x faster than automated verifiers-and finds up to 2x more equivalences than optimizer and signature-based equivalence detection approaches.
A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations
Authors: Makhija Neha , Gatterbauer Wolfgang 
Published: December 2023

What is a minimal set of tuples to delete from a database in order to eliminate all query answers? This problem is called "the resilience of a query" and is one of the key algorithmic problems underlying various forms of reverse data management, such as view maintenance, deletion propagation and causal responsibility. A long-open question is determining the conjunctive queries (CQs) for which resilience can be solved in PTIME.We shed new light on this problem by proposing a unified Integer Linear Programming (ILP) formulation. It is unified in that it can solve both previously studied restrictions (e.g., self-join-free CQs under set semantics that allow a PTIME solution) and new cases (all CQs under set or bag semantics). It is also unified in that all queries and all database instances are treated with the same approach, yet the algorithm is guaranteed to terminate in PTIME for all known PTIME cases. In particular, we prove that for all known easy cases, the optimal solution to our ILP is identical to a simpler Linear Programming (LP) relaxation, which implies that standard ILP solvers return the optimal solution to the original ILP in PTIME.Our approach allows us to explore new variants and obtain new complexity results. 1) It works under bag semantics, for which we give the first dichotomy results in the problem space. 2) We extend our approach to the related problem of causal responsibility and give a more fine-grained analysis of its complexity. 3) We recover easy instances for generally hard queries, including instances with read-once provenance and instances that become easy because of Functional Dependencies in the data. 4) We solve an open conjecture about a unified hardness criterion from PODS 2020 and prove the hardness of several queries of previously unknown complexity. 5) Experiments confirm that our findings accurately predict the asymptotic running times, and that our universal ILP is at times even quicker than a previously proposed dedicated flow algorithm.