bluuebunny/crossref_metadata_2025_split huggingface dataset:
ALISTER McGRATH AND EDUCATION IN SCIENCE AND RELIGION
Authors: Pinsent Andrew 
Published: January 2022

AbstractAlister McGrath has undoubtedly made an impressive contribution to educate people in science and religion, but what are the secrets of his success? In this article, drawn from studies of his publications and a personal interview, I highlight the priority he gives to clarity, his second‐personal pedagogy, his non‐partisan trustworthiness, his encouragement of diversity, and his gentle, spell‐breaking humor. For all his achievements in clearing intellectual space for revelation, McGrath has, however, tended to focus much more on science in relation to natural theology than revelation. Due to this focus, I tend to classify him as a John Bunyan rather than a Dante Alighieri. Hence, McGrath, who has achieved so much in educating people in science and religion, has also left plenty of opportunities for future generations to expand on his research.
PARASITE SOUP: FAITH AND SCIENCE IN THE HISTORY OF PARASITOLOGY
Authors: Blaschke Jeremy D. 
Published: January 2022

AbstractPopular conceptions of the relationship between science and religion often emphasize the mutual compatibility but segregation of these two authoritative domains. However, along the uncertain border between these two spheres exist many questions that appear to influence and be influenced by both scientific and theological evidence. For biologists, the gruesome details of parasite biology and behavior illuminate a shadow in nature where science and theology must intersect—did a loving creator God design parasites? Here, I explore the writings and experiments of the early fathers of parasitology who established and matured a new scientific discipline while deeply integrating their theological beliefs with their scientific investigations. I argue that modern scientists can, and often should, follow in the footsteps of our scientific forefathers and intentionally allow our theological presuppositions to inspire scientific experiments, especially in these important boundary‐crossing subjects. In doing so, I believe we may advance scientific understanding of the way reality is by asking unexpected questions and uncover deeper truths about the character of God as revealed in his intricately complex and eternally fascinating creation.
OPTIMIZATION OF PROCESS PARAMETERS FOR CULTIVATION OF BACTERIOPHAGES PROMISING FOR BIOLOGICAL CONTROL OF PHYTOPATHOGENIC BACTERIA OF GENUS PSEUDOMONAS
Authors: Pilipchuk T.A. , Gerasimovich A.D. , Ananyeva I.N. , Kolomiets E.I. 
Published: January 2022

Cultural parameters of bacteriophages screened for lytic activity toward host bacterial strain P. helmanticensis BIM В-582 D were investigated. The following conditions were shown to be optimal for cultivation of indicator culture and it’s lysis by Pseudomonas phages BIM ВV-45 D, BIM ВV-46 D, BIM ВV-47 D, BIM ВV-50 D, BIM ВV-53 D, BIM ВV-61 D in laboratory fermenters ANKUM-3M: nutrient medium – fish meal hydrolysate broth, temperature – 28°C, stirrer agitation rate – 160 rpm, aeration rate – 1 l air/ l medium per min. Biopreparation produced under optimized conditions and composed of six afore-mentioned phages display high lytic activity both in regard to the host strain and to phytopathogenic bacteria Pseudomonas syringae.
Improving Site-Dependent Wind Turbine Performance Prediction Accuracy Using Machine Learning
Authors: Barber Sarah , Hammer Florian , Tica Adrian 
Published: January 2022

AbstractData-driven wind turbine performance predictions, such as power and loads, are important for planning and operation. Current methods do not take site-specific conditions such as turbulence intensity and shear into account, which could result in errors of up to 10%. In this work, four different machine learning models (k-nearest neighbors regression, random forest regression, extreme gradient boosting regression and artificial neural networks (ANN)) are trained and tested, first on a simulation dataset and then on a real dataset. It is found that machine learning methods that take site-specific conditions into account can improve prediction accuracy by a factor of two to three, depending on the error indicator chosen. Similar results are observed for multi-output ANNs for simulated in- and out-of-plane rotor blade tip deflection and root loads. Future work focuses on understanding transferability of results between different turbines within a wind farm and between different wind turbine types.
A Computational Framework for Human-Centric Vehicular Crashworthiness Design and Decision-Making Under Uncertainty
Authors: Nellippallil Anand Balu , Berthelson Parker R. , Peterson Luke , Prabhu Raj K. 
Published: January 2022

Abstract
Government agencies, globally, strive to minimize the likelihood and frequency of human death and severe injury on road transport systems. From an engineering design standpoint, the minimization of these road accident effects on occupants becomes a critical design goal. This necessitates the quantification and management of injury risks on the human body in response to several vehicular impact variables and their associated uncertainties for different crash scenarios. In this paper, we present a decision-based, robust design (RD) framework to quantify and manage the impact-based injury risks on occupants for different computational model-based car crash scenarios. The key functionality offered is the designer's capability to conduct robust concept exploration focused on managing the selected impact variables and associated uncertainties, such that injury risks are controlled within acceptable levels. The framework's efficacy is tested for near-side impact scenarios with impact velocity and angle of impact as the critical variables of interest. Two injury criteria, namely, head injury criterion (HIC) and lateral neck injury criteria (Lateral Nij) are selected to quantitatively measure the head and neck injury risks in each crash simulation. Using the framework, a RD problem is formulated to determine the combination of impact variables that best satisfies the injury goals defined. The framework and associated design constructs are generic and support the formulation and decision-based robust concept exploration of similar problems involving models under uncertainty. Our focus in this paper is on the framework rather than the results per se.
Bounded Elastic Moduli Multiplier Technique for Limit Loads: Part 1—Theory
Authors: Mangalaramanan Sathya Prasad 
Published: January 2022

Abstract
Statically admissible stress distributions are necessary to evaluate lower bound limit loads. Over the last three decades, several methods have been postulated to obtain these distributions using iterative elastic finite element analyses. Some of the pioneering techniques are the reduced modulus, r-node, elastic compensation, and linear matching methods, to mention a few. A new method, called the bounded elastic moduli multiplier technique (BEMMT), is proposed and the theoretical underpinnings thereof are explained in this paper. BEMMT demonstrates greater robustness, more generality, and better stress distributions, consistently leading to lower-bound limit loads that are closer to elastoplastic finite element analysis estimates. It also leads us to question the validity of the prevailing power law-based stationary stress distributions. Part 2 of this paper offers several case studies to validate this claim.
Gait instability and estimated core temperature predict exertional heat stroke
Authors: Buller Mark , Fellin Rebecca , Bursey Max , Galer Meghan , Atkinson Emma , Beidleman Beth A , Marcello Michael J , Driver Kyla , Mesite Timothy , Seay Joseph , Weed Lara , Telfer Brian , King Christopher , Frazee Royce , Moore Charles , Williamson James R 
Published: January 2022

ObjectiveExertional heat stroke (EHS), characterised by a high core body temperature (Tcr) and central nervous system (CNS) dysfunction, is a concern for athletes, workers and military personnel who must train and perform in hot environments. The objective of this study was to determine whether algorithms that estimate Tcr from heart rate and gait instability from a trunk-worn sensor system can forward predict EHS onset.MethodsHeart rate and three-axis accelerometry data were collected from chest-worn sensors from 1806 US military personnel participating in timed 4/5-mile runs, and loaded marches of 7 and 12 miles; in total, 3422 high EHS-risk training datasets were available for analysis. Six soldiers were diagnosed with heat stroke and all had rectal temperatures of >41°C when first measured and were exhibiting CNS dysfunction. Estimated core temperature (ECTemp) was computed from sequential measures of heart rate. Gait instability was computed from three-axis accelerometry using features of pattern dispersion and autocorrelation.ResultsThe six soldiers who experienced heat stroke were among the hottest compared with the other soldiers in the respective training events with ECTemps ranging from 39.2°C to 40.8°C. Combining ECTemp and gait instability measures successfully identified all six EHS casualties at least 3.5 min in advance of collapse while falsely identifying 6.1% (209 total false positives) examples where exertional heat illness symptoms were neither observed nor reported. No false-negative cases were noted.ConclusionThe combination of two algorithms that estimate Tcr and ataxic gate appears promising for real-time alerting of impending EHS.
Trail running injury risk factors: a living systematic review
Authors: Viljoen Carel , Janse van Rensburg Dina C (Christa) , van Mechelen Willem , Verhagen Evert , Silva Bruno , Scheer Volker , Besomi Manuela , Gajardo-Burgos Rubén , Matos Sérgio , Schoeman Marlene , Jansen van Rensburg Audrey , van Dyk Nicol , Scheepers Susan , Botha Tanita 
Published: January 2022

ObjectiveTo review and frequently update the available evidence on injury risk factors and epidemiology of injury in trail running.DesignLiving systematic review. Updated searches will be done every 6 months for a minimum period of 5 years.Data sourcesEight electronic databases were searched from inception to 18 March 2021.Eligibility criteriaStudies that investigated injury risk factors and/or reported the epidemiology of injury in trail running.ResultsNineteen eligible studies were included, of which 10 studies investigated injury risk factors among 2 785 participants. Significant intrinsic factors associated with injury are: more running experience, level A runner and higher total propensity to sports accident questionnaire (PAD-22) score. Previous history of cramping and postrace biomarkers of muscle damage is associated with cramping. Younger age and low skin phototypes are associated with sunburn. Significant extrinsic factors associated with injury are neglecting warm-up, no specialised running plan, training on asphalt, double training sessions per day and physical labour occupations. A slower race finishing time is associated with cramping, while more than 3 hours of training per day, shade as the primary mode of sun protection and being single are associated with sunburn. An injury incidence range 0.7–61.2 injuries/1000 hours of running and prevalence range 1.3% to 90% were reported. The lower limb was the most reported region of injury, specifically involving blisters of the foot/toe.ConclusionLimited studies investigated injury risk factors in trail running. Our review found eight intrinsic and nine extrinsic injury risk factors. This review highlighted areas for future research that may aid in designing injury risk management strategies for safer trail running participation.PROSPERO registration numberCRD42021240832.
Associations between social determinants of health and interpersonal violence-related injury in Cameroon: a cross-sectional study
Authors: Blair Kevin J , de Virgilio Michael , Dissak-Delon Fanny Nadia , Dang Lauren Eyler , Christie S Ariane , Carvalho Melissa , Oke Rasheedat , Mbianyor Mbiarikai Agbor , Hubbard Alan E , Etoundi Alain Mballa , Kinge Thompson , Njock Richard L , Nkusu Daniel N , Tsiagadigui Jean-Gustave , Dicker Rochelle A , Chichom-Mefire Alain , Juillard Catherine 
Published: January 2022

IntroductionRisk factors for interpersonal violence-related injury (IPVRI) in low-income and middle-income countries (LMICs) remain poorly defined. We describe associations between IPVRI and select social determinants of health (SDH) in Cameroon.MethodsWe conducted a cross-sectional analysis of prospective trauma registry data collected from injured patients>15 years old between October 2017 and January 2020 at four Cameroonian hospitals. Our primary outcome was IPVRI, compared with unintentional injury. Explanatory SDH variables included education level, employment status, household socioeconomic status (SES) and alcohol use. TheEconomicClustersmodel grouped patients into household SES clusters: rural, urban poor, urban middle-class (MC) homeowners, urban MC tenants and urban wealthy. Results were stratified by sex. Categorical variables were compared via Pearson’sχ2statistic. Associations with IPVRI were estimated using adjusted odds ratios (aOR) with 95% confidence intervals (95%CI).ResultsAmong 7605 patients, 5488 (72.2%) were men. Unemployment was associated with increased odds of IPVRI for men (aOR 2.44 (95% CI 1.95 to 3.06), p<0.001) and women (aOR 2.53 (95% CI 1.35 to 4.72), p=0.004), as was alcohol use (men: aOR 2.33 (95% CI 1.91 to 2.83), p<0.001; women: aOR 3.71 (95% CI 2.41 to 5.72), p<0.001). Male patients from rural (aOR 1.45 (95% CI 1.04 to 2.03), p=0.028) or urban poor (aOR 2.08 (95% CI 1.27 to 3.41), p=0.004) compared with urban wealthy households had increased odds of IPVRI, as did female patients with primary-level/no formal (aOR 1.78 (95% CI 1.10 to 2.87), p=0.019) or secondary-level (aOR 1.54 (95% CI 1.03 to 2.32), p=0.037) compared with tertiary-level education.ConclusionLower educational attainment, unemployment, lower household SES and alcohol use are risk factors for IPVRI in Cameroon. Future research should explore LMIC-appropriate interventions to address SDH risk factors for IPVRI.
Mapping the evidence of multidimensional health approaches in treating individuals with Prader–Willi Syndrome: A scoping review protocol
Authors: Che Din Normah , Umat Cila , Abdul Wahat Nor Haniza , Talib Azhar Bin 
Published: January 2022

IntroductionPrader–Willi Syndrome (PWS) is one of the rare diseases involving genetics and affects various body systems. The disease is known due to the absence of paternal genes on chromosome 15q11-q13. Multisystem complex conditions require interdisciplinary healthcare treatment. However, to the best of our knowledge, there is little evidence of an established successful model of an interdisciplinary approach in managing rare diseases like PWS.Methods and analysisThe scoping review process follows the five-staged Arksey and O’Malley (2005) methodology framework excluding the optional consultation stage (stage 6): the definition of the research questions (step 1); the eligibility criteria and search strategy are defined (stage 2); the study selection process based on the eligibility criteria identified will follow (stage 3); a framework developed for this review will then inform the extraction and charting of data from the included studies (step 4) and results will be aggregated and summarised with criteria relevant for health professionals and policymakers (stage 5). We will search for electronic databases (MEDLINE/PubMed, Scopus, Web of Science), grey literature sources and critical studies’ reference lists to determine the appropriate inclusion criteria. Three researchers will review all abstracts and full-text studies for inclusion.Ethics and disseminationThis scoping review methodology does not require ethical approval since it aims to synthesise information from available publications. A scoping review article will be submitted for publication to a scientific journal following this protocol.
Changes in paediatric dental clinic after reopening during COVID-19 pandemic in Wuhan: a retrospective study
Authors: Yang Jinghui , Yang Guobin , Jin Runze , Song Guangtai , Yuan Guohua 
Published: January 2022

ObjectivesAffected by COVID-19 pandemic, The Department of Paediatric Dentistry of School and Hospital of Stomatology, Wuhan University was closed in late January 2020, and resumed on 20 April. Our study aimed to explore the effects of COVID-19 pandemic on paediatric dental services which might assist global paediatric dentists to build confidence and make appropriate policies under the pandemic.DesignA retrospective study was performed. Medical records of patients were retrieved but without any private information, including patient name, ID number and address.ParticipantsAll data of the patients from 20 April to 31 July in 2020 and 2019 were extracted and analysed including demographics, dental diagnosis and treatment methods. A total of 18 198 patients were included in the study.ResultsDuring this period, no medical staff or patient was infected with COVID-19 due to dental services. A total of 6485 in 2020 but 11 713 during the same period in 2019 visited the department. Compared with 2019, gender distribution did not change, but age distribution changed with an increase under 6-year-old. The diagnoses including caries, retained primary teeth, malocclusion, deep pits and fissures changed significantly, while pulpitis, apical periodontitis, tooth trauma, early loss of primary teeth, supernumerary teeth showed little change. Aerosol generating procedures were adopted less frequently overall in this period.ConclusionsThe reopening of paediatric dental services is proceeding steadily with significant changes in the characteristics of the patients and treatment procedures.
Strengthening the quality of clinical trials of acupuncture: a guideline protocol
Authors: He Ying , Li Juan , Li Yuxi , Jin Rongjiang , Wen Qian , Li Ning , Zhang Yonggang 
Published: January 2022

IntroductionAcupuncture has been accepted in many Western countries and clinical trials have been increasing recently. However, the problems of insufficient and low-quality evidence remain, and substantially hinder the development of acupuncture clinical trials. We therefore aim to develop a guideline to strengthen the quality of acupuncture clinical trials, in accordance with WHO handbook for guideline development and the Reporting Items for practice Guidelines in HealThcare. The guideline will help to improve the quality of acupuncture clinical trials.Methods and analysisWe will search for studies on the quality of acupuncture clinical trials using PubMed, EMBASE, Web of Science, China National Knowledge Infrastructure, Wanfang Data, China Science and Technology Journal Database, The Cochrane Library, the WHO and Health Technology Assessment websites, and other sources. We will also check reference lists and contact experts in the field. We will systematically evaluate the quality of acupuncture clinical trials, and extract and summarise the quality problems and countermeasures of such trials. We will also systematically review clinical trial quality control manuals and systems and formulate research questions on quality control in acupuncture clinical trials. Finally, we will develop the guideline and establish a comprehensive quality control system to ensure high quality acupuncture clinical trials. We will also evaluate the guideline and will update the guideline to reflect new scientific evidence.Ethics and disseminationEthics committee approval and informed consent are not required for developing guideline because only published data will be used, however, we will interview the patients, the ethics committee approval has been got from West China Hospital of Sichuan Unversity (Number: 2021-1188). We will publish all manuscripts arising from this research and present the findings at conferences.Guideline registration numberIPGRP-2021CN093.
A Prospective, observational cohort study to identify neonates and children at risk of postdischarge mortality in Dar es Salaam, Tanzania and Monrovia, Liberia: the PPDM study protocol
Authors: Rees Chris A , Kisenge Rodrick , Ideh Readon C , Kamara Julia , Samma Abraham , Godfrey Evance , Manji Hussein K , Sudfeld Christopher R , Westbrook Adrianna , Niescierenko Michelle , Manji Karim P , Duggan Christopher P 
Published: January 2022

IntroductionOver half of the 5 million annual deaths among children aged 0–59 months occur in sub-Saharan Africa. The period immediately after hospitalisation is a vulnerable time in the life of a child in sub-Saharan Africa as postdischarge mortality rates are as high as 1%–18%. Identification of neonates and children who are at highest risk for postdischarge mortality may allow for the direction of interventions to target patients at highest risk.Methods and analysisThe Predicting Post-Discharge Mortality study is a prospective, observational study being conducted at Muhimbili National Hospital (Dar es Salaam, Tanzania) and John F. Kennedy Medical Center (Monrovia, Liberia). The aim is to derive and validate two, age population specific, clinical prediction rules for the identification of neonates (n=2000) and children aged 1–59 months (n=2000) at risk for all-cause mortality within 60 days of discharge from the neonatal intensive care unit or paediatric ward. Caregivers of participants will receive phone calls 7, 14, 30, 45 and 60 days after discharge to assess vital status. Candidate predictor variables will include demographic, anthropometric and clinical factors. Elastic net regression will be used to derive the clinical prediction rules. Bootstrapped selection with repetitions will be used for internal validation. Planned secondary analyses include the external validation of existing clinical prediction models, determination of clinicians’ ability to identify neonates and children at risk of postdischarge mortality at discharge, analysis of factors associated with hospital readmission and unplanned clinic visits and description of health-seeking behaviours in the postdischarge period.Ethics and disseminationThis study received ethical clearance from the Tanzania National Institute of Medical Research, Muhimbili University of Health and Allied Sciences, the John F. Kennedy Medical Center Institutional Review Board, and the Boston Children’s Hospital Institutional Review Board. Findings will be disseminated at scientific conferences and as peer-reviewed publications.