bluuebunny/crossref_metadata_2025_split huggingface dataset:
Staff experiences of integrating community and secondary care musculoskeletal services: A qualitative investigation
Authors: Alvarado Natasha , Hargreaves Gerard , Storey Karen , Montague Jane , Broughton Rowena , Randell Rebecca 
Published: August 2023

AbstractIntroductionIntegrated models of care intend to provide seamless and timely access to health and social care services. This study investigated the integration of musculoskeletal services across community and secondary care boundaries, including the introduction of a single point of access from which patients were triaged.MethodsStaff (n = 15) involved in service development and delivery were interviewed about how, why and to what extent integration impacted service delivery. The analysis focused on staff experiences of using an on‐line patient self‐referral form and co‐located clinics to enhance decision‐making in triage, and on the provision of educational materials and de‐medicalising language in patient consultations to support self‐management.ResultsSingle point of access, including online self‐referral, were operationalised during data collection, but co‐located clinics were not. Triage staff explained that the volume of referrals and quality of information provided in online self‐referrals sometimes constrained decision‐making in triage. Secondary care staff discussed concerns that the single point of access might not consistently identify patients with hard to diagnose conditions that require timely surgical intervention. This concern appeared to constrain staff engagement with integration, potentially inhibiting the delivery of co‐located clinics. However, triage staff accessed support to inform secondary care referral via alternate modes. Patient circumstances, for example, need for reassurance, necessitated multiple self‐management strategies and innovative approaches were developed to provide patients ongoing and professionally led support.ConclusionFindings emphasise that restructuring services requires engagement from diverse stakeholders. Collaborating with stakeholders to address their concerns about the impact of restructures on well‐established pathways may help cultivate this engagement.
Survival and Growth in Multiple Size-Classes of Hatchery Red Drum over Three Simulated Seasons
Authors: Swinford Jillian L. , Anderson Joel D. 
Published: August 2023

Abstract
The Texas Parks and Wildlife Department's (TPWD) Marine Stock Enhancement Program has introduced an average of 20 million fingerling Red Drum Sciaenops ocellatus into bays across Texas annually since 1983. Red Drum fingerlings are released during seasons outside of wild juvenile Red Drum recruitment, exposing them to conditions that they would not normally encounter as early stage juveniles in the wild. Furthermore, releases encompass a wide range of sizes outside of the target release size of 35 mm (20–60 mm), implying that survival and growth in the wild may vary with body size and body condition upon release. This study determined the impacts of season and initial release size on overall growth rate, body condition, and survival of Red Drum fingerlings by exposing two discrete size-classes to a laboratory simulation of conditions expected to be encountered in the wild for 1 month after harvest from grow-out ponds. Fish with an initial size of 35 mm TL or greater had higher overall survival over all three seasons of release than smaller fingerlings; however, final body condition (Fulton's K) was not significant across size-classes. Growth rates of both size-classes were highest in summer, indicating that elevated temperatures can benefit fish within the full range of release sizes. Fitted multiple linear regression modeling also determined that water temperature and size-class were significant indicators of estimated growth rate. In addition, growth rates in wild fish as estimated from TPWD fisheries-independent samples were consistently lower than those in experimental fish of both size-classes during all three simulated seasons. This research suggests that releasing larger-sized (&gt;35-mm TL) Red Drum may significantly improve survival, especially during seasons with more variable temperature conditions at the beginning and end of the TPWD hatchery release season.
Safety in parenteral nutrition compounding
Authors: Mays Andrew , Ayers Phil , Monczka Jessica , Cober Mary Petrea 
Published: August 2023

AbstractParenteral nutrition (PN) compounding is a complex process that requires knowledge and training to ensure the safety and efficacy of this form of nutrition support therapy. Unfortunately, errors and lack of adherence to safe PN compounding recommendations and sterile compounding requirements have resulted in patient injury and death. These lapses in the safe provision of PN have been the result of various factors, including a lack of understanding of PN compatibility, stability, and sterility requirements, as well as drug product shortages and order entry errors. This review will describe the current challenges with the education and training regarding PN compounding, compatibility and stability of PN admixtures, simultaneous administration of nonnutrient medications with PN admixtures, and specific challenges with special populations such as neonates, pediatrics, and those receiving home care.
A granular iterated local search for the asymmetric single truck and trailer routing problem with satellite depots at DHL Group
Authors: Cavagnini Rossana , Schneider Michael , Theiß Alina 
Published: August 2023

AbstractTo plan the postal deliveries of our industry partner DHL Group (DHL), the single truck and trailer routing problem with satellite depots (STTRPSD) is solved to optimize mail carriers routes. In this application context, instances feature a high number of customers and satellites, and they are based on real street networks. This motivates the study of the asymmetric STTRPSD (ASTTRPSD). The heuristic solution methods proposed in the literature for the STTRPSD can either solve only the symmetric problem variant, or it is unclear whether they can also be used to solve the ASTTRPSD. We introduce an iterated local search, called ILS‐ASTTRPSD, which generates different first‐level tours in the perturbation phase, and improves the second‐level tours in the local search phase. To speed up the search, granular neighborhoods are used. The computational results on instances from the literature prove the capability of ILS‐ASTTRPSD to return high‐quality solutions. On DHL instances, ILS‐ASTTRPSD significantly decreases total travel times of the mail carriers and returns solutions with a different structure compared to the ones provided by DHL. Based on these differences, we give recommendations on how DHL could design more efficient mail carrier practices. Dedicated computational experiments reveal that considering parking and loading times when solving the ASTTRPSD leads to lower travel times, and that ignoring parking times is more counterproductive than ignoring loading times. Moreover, we assess the robustness of our solutions under parking time fluctuations. Finally, we derive properties of instances for which optimal solutions contain multiple second‐level tours rooted at the same parking spot and for which the optimal solutions of the ASTTRPSD correspond to the ones of a pure traveling salesman problem.
‘Research is the last thing on our minds, we are in crisis’: Experiences of Lagos state nurses towards research and scholarly endeavours
Authors: Akingbade Oluwadamilare , Eniola Oluwadara , Sulaiman Adesina A. , Adesuyi Emmanuel O. , Ilesanmi Esther B. , Adesokan Zainab O. , Ogunlowo Bose C. , Akinokun Rafiat T. , Oviri Emmanuel , Eze Chioma J. , Ayodele Bolanle O. 
Published: August 2023

AbstractAimTo explore the experiences of Nigerian nurses in research and scholarly endeavours.DesignDescriptive phenomenological qualitative study design.MethodIn‐depth interviews were conducted among 30 nurses until data saturation was reached. Data were analysed using the thematic analysis method, and consolidated criteria for reporting qualitative research guidelines (COREQ) were adhered to in reporting this study.ResultsThree themes emerged: (1) challenges of nurses with research; (2) the state of nursing research in Lagos state; (3) strategies to improve the state of nursing research in Lagos state. Some challenges nurses in Lagos State encounter with research include heavy workload and nursing shortage due to brain drain, faulty research foundation, lack of continuing education in research and the stressful nature of conducting research in Lagos.ConclusionAs research is essential in addressing healthcare challenges, policymakers are encouraged to employ more nurses to reduce the workload and provide time for research activities. Training and continuing education in research can be incorporated into professional development programmes. Lagos State will benefit from nursing research units in the hospitals, and a coordinating centre for the units should be provided with adequate funding. Support could be obtained from the Institute of Nursing Research Nigeria in establishing these structures. Hospital management should embrace and welcome research output from nurses and ensure such results are implemented to improve patients' care. Nurses who excel in research might be recognised with awards and other incentives to inspire their peers.
Philanthropy during COVID‐19: Learnings and recommendations for philanthropic organizations navigating crisis
Authors: Hampton DeeAndria , Wiepking Pamala , Chapman Cassandra , McHugh Lucy Holmes , Arnesen Daniel , Carrigan Cathie , Feit Galia , Grönlund Henrietta , Hrafnsdóttir Steinunn , Ivanova Natalya , Katz Hagai , Kim Sung‐Ju , Kristmundsson Ómar H. , Litofcenko Julia , Mersianova Irina , Neumayr Michaela , Pessi Anne Birgitta , Scaife Wendy , Sivesind Karl Henrik , Vamstad Johan , Yang Yongzheng 
Published: August 2023

AbstractThis practice paper articulates the key learnings for philanthropic organizations based on their experiences of the COVID‐19 pandemic. Which actions can philanthropic organizations take to best support community needs during times of crisis? To answer this question, we synthesize information about how philanthropic organizations responded during the early COVID‐19 crisis (spring―fall 2020) across 11 countries: Australia, Austria, Finland, Germany, Iceland, Israel, Norway, Sweden, the Republic of Korea, the Russian Federation, and the United States of America. Results indicate four key actions that we recommend philanthropic organizations take during times of crisis: (1) Assess community needs; (2) engage with volunteers and donors; (3) communicate effectively and strategically with volunteers, donors, and the public; and (4) focus on equity.
Effect of nanosilica on low‐velocity impact and compression after impact properties of continuous carbon fiber‐reinforced epoxy composites manufactured by 3D printing
Authors: Wagmare Rajkumar , Harshe Rahul , Pednekar Jaising , Patro T. Umasankar , Joshi Makarand 
Published: August 2023

AbstractTo improve the low‐velocity impact (LVI) and compression after impact (CAI) properties of three‐dimensional (3D)‐printed continuous carbon fiber‐reinforced epoxy composites (CFRC), nanosilica (NS) was incorporated into these composites. NS (0.5 and 1 wt%) was dispersed in a liquid epoxy matrix by ultrasonication and mechanical stirring before mixing in a planetary mixer. The addition of NS up to 1 wt% did not render any processing barrier during the extrusion followed by the automated tape placement (ATP) method, adopted in this study. The resulting “hybrid” laminates showed void content <1% and had minimal internal defects as ensured by nondestructive technique (C‐scan) and scanning electron microscopy. The neat and NS‐loaded CFRPs were subjected to an impact energy of 6 J mm−1. The rebound energy increased by ~36% with the addition of 1 wt% NS as compared to unfilled samples, obtained from the LVI test. The CAI results suggest that with 1 wt% NS the residual compressive strength increased by ~13% in comparison with the neat CFRP laminates. After impact, the damage area was reduced significantly, that is, ~62% with the addition of 1 wt% NS in comparison with the neat CFRP laminates.
Enhancement of physical properties of thermoplastic polyurethanes by blending with cyclic olefin copolymer elastomer
Authors: Ercan Nevra , Durmus Ali , Kasgoz Ahmet 
Published: August 2023

AbstractIn this study, two different thermoplastic polyurethanes (TPUs), a poly(ester)‐based TPU including aromatic diisocyanate units (TPU1) and a poly(ester‐ether)‐based TPU including aliphatic diisocyanate units (TPU2) were blended with a cyclic olefin copolymer (COC) elastomer to prepare TPU‐rich blend films via melt compounding in a twin screw extruder equipped with a slit die and film casting rollers. Morphological features and viscoelastic properties of blend films were characterized with scanning electron microscope analysis, different test protocols in melt rheology measurements, and dynamic mechanical analyzer tests, in detail. Viscoelastic properties of blend films were quantified with various mathematical approaches such as Williamson model, discrete retardation spectrum (DRS), Burger, and Findley equation. It was found that COC phase dispersed more homogenously into TPU1 matrix than TPU2. COC elastomer addition significantly increased the melt viscosity and melt elasticity of TPUs and improved the creep strength.Highlights
COC addition enhanced the viscosity and elasticity of TPUs in melt state.
The creep strains of TPUs decreased by 65% with addition of 40 wt% of COC.
China's Internet sector reforms and the rise of ESG in the state techno‐nationalist agenda
Authors: Au Anson 
Published: August 2023

AbstractFrom 2020 onward, sweeping reforms were implemented in China's domestic Internet sector that stirred debate about its future. Analyzing all Chinese government policies and penalties issued on domestic Internet enterprises from 2020 to 2022, this article provides the first systematic account of the authoritative themes that guided the design of the policy reforms. Latent Dirichlet Association topic modeling and qualitative content analyses reveal that policy reforms are guided by a state techno‐nationalist agenda shifting closer to a framework of environmental, social, and governance concerns (ESG). The results show that the new policies restructured Internet firm operations, capital allocation decisions, and accountability mechanisms with local government collaborators to ultimately push firms toward improving ESG adherence: social wellbeing, corporate governance, and environmental sustainability. This article theorizes that these changes reposition the Internet sector in a new techno‐nationalist agenda, shifting it from a vehicle of unfettered economic growth to an incubator for social wellbeing and sustainable finance.
Recent progress in thermally activated delayed fluorescence dendrimers for solution‐processed organic light‐emitting diodes
Authors: Wang Yihan , Ying Ao , Gong Shaolong 
Published: August 2023

AbstractDuring the past decade, the discovery of thermally activated delayed fluorescence (TADF) materials has significantly boosted the development of organic light‐emitting diode (OLED) technology. Compared with small‐molecule and polymeric TADF materials, TADF dendrimers have emerged as promising emitters for solution‐processed OLEDs because they have the integrated advantages of TADF small molecules and polymers in achieving high efficiency, excellent solution processability, and precise molecular structures. In recent years, TADF dendrimers have experienced important advances in molecular design, mechanism exploration and device performance. Herein, we present a comprehensive review of solution‐processable TADF dendrimers, mainly focusing on their molecular design principles and structure–property correlations. The advanced device performances of these dendrimers are also summarized. Finally, we proposed the prospects and challenges on the development of TADF dendrimers.
Potential use of plasma‐activated water on Escherichia coli for sterilization: Efficacy and mechanism
Authors: Tan Yonghong , Bian Yaqing , Fu Ruoyang , Niu Haili , Chen Guiyun , Li Shuhong , Chen Ye 
Published: August 2023

AbstractThe plasma‐activated water (PAW) produced by low‐temperature plasma (LTP) was applied to this research because of its safety and no thermal damage. Therefore, the physicochemical properties of PAW, as well as the efficacy and sterilization mechanism of Escherichia coli, were discussed. The PAW (pH 1.27, conductivity 6400 μS/cm) could reduce E. coli by 1.31‐log reduction using LTP at 70 W for 9 min. The results demonstrated that PAW caused DNA and protein leakage with malondialdehyde production. This study may provide a basis for the theoretical research of PAW sterilization. As an effective sterilant, PAW would be a promising alternative strategy for cleaning of E. coli from pipes and filters in food factories.
The changing virology and trends in resource utilization for bronchiolitis since COVID‐19
Authors: Burks Allison , King William , Orr Mary 
Published: August 2023

AbstractBackgroundBronchiolitis is a viral respiratory illness most commonly caused by respiratory syncytial virus (RSV). COVID‐19 disrupted typical patterns of viral transmission. Our study aimed to compare low value care for bronchiolitis in a tertiary emergency department (ED) in the United States from March 2017 to March 2022.MethodsThis was a descriptive cohort study through a retrospective chart review from 2017 to 2022 analyzing ED visits for bronchiolitis including disposition, disease severity, chest radiographs, albuterol, and high flow nasal cannula usage. A year was a 12‐month period from March to February.ResultsFrom 2017 to 2020, there were over 2000 ED visits for bronchiolitis per year (3.1% of all ED visits), which decreased to 450 visits for bronchiolitis (1%) in 2020–2021. Human rhino/enterovirus was the most common virus detected (92%) at that time, and admission rates, albuterol, high flow nasal cannula, and chest radiographs were all higher. The summer of 2021 had the highest visits across the 5‐study years with a return to previous rates of resource utilization.ConclusionsBronchiolitis ED visits due to RSV dramatically reduced during the first year of the COVID‐19 pandemic in 2020, with over 80% reduction in bronchiolitis visits from 2018 to 2019. While all ED visits fell in 2020, the proportion of visits due to bronchiolitis also decreased. There was an increase in lower value care during the rhinovirus dominant, low census period. As restrictions lifted in 2021, there was a large resurgence of RSV in the atypical summer months with a return of previous rates of resource utilization.
DeepAFP: An effective computational framework for identifying antifungal peptides based on deep learning
Authors: Yao Lantian , Zhang Yuntian , Li Wenshuo , Chung Chia‐Ru , Guan Jiahui , Zhang Wenyang , Chiang Ying‐Chih , Lee Tzong‐Yi 
Published: August 2023

AbstractFungal infections have become a significant global health issue, affecting millions worldwide. Antifungal peptides (AFPs) have emerged as a promising alternative to conventional antifungal drugs due to their low toxicity and low propensity for inducing resistance. In this study, we developed a deep learning‐based framework called DeepAFP to efficiently identify AFPs. DeepAFP fully leverages and mines composition information, evolutionary information, and physicochemical properties of peptides by employing combined kernels from multiple branches of convolutional neural network with bi‐directional long short‐term memory layers. In addition, DeepAFP integrates a transfer learning strategy to obtain efficient representations of peptides for improving model performance. DeepAFP demonstrates strong predictive ability on carefully curated datasets, yielding an accuracy of 93.29% and an F1‐score of 93.45% on the DeepAFP‐Main dataset. The experimental results show that DeepAFP outperforms existing AFP prediction tools, achieving state‐of‐the‐art performance. Finally, we provide a downloadable AFP prediction tool to meet the demands of large‐scale prediction and facilitate the usage of our framework by the public or other researchers. Our framework can accurately identify AFPs in a short time without requiring significant human and material resources, and hence can accelerate the development of AFPs as well as contribute to the treatment of fungal infections. Furthermore, our method can provide new perspectives for other biological sequence analysis tasks.
Dosimetric and Radiobiological Impact of Flattening Filter‐Free Beam and Dose Calculation Algorithm Using RapidArc Plans for Cervical Cancer Treatment
Authors: Manna Sumanta , Singh Sharad , Gupta Pramod Kumar , T Ragul 
Published: August 2023

AbstractPurposeThe aim of this study is to quantify the potential benefits of a flattening filter‐free (FFF) beam and implement a dose‐computation algorithm for cervical radiotherapy through dosimetric and radiobiological analyses using RapidArc.MethodsThirty‐three patients were enrolled, and four RapidArc plans were created for each patient using a dual‐arc flattening filter and 6‐MV FFF photon beams for the two calculation algorithms. Homogeneity index (HI), conformity index (CI), target coverage, monitor units (MUs), and organ‐at‐risk (OAR) dosimetric characteristics were compared between the plans. Radiobiological characteristics and normal tissue complication probability (NTCP) scores were computed for the OAR using different biological models.ResultsNo significant differences were observed in the Dmax,D98%, and CI in the planning target volume (PTV). Both computations estimated a significant difference in V95%, D2%, and HI for the PTV. Furthermore, the FFF beam showed a significant increase in the MUs and a significant reduction in V30%for the femoral heads. The NTCP score showed a significant increase in the late effects on the bladder, rectum, and bowel with FFF beams.ConclusionThe current study recommends FFF beams for better conformity, comparable dose coverage for the target, and OAR sparing invariable to the dose computation algorithm. The difference in the NTCP score for OAR was minimal with the FFF beam.
Improving pharmacometrics analysis efficiency using DataCheQC: An interactive, Shiny‐based app for quality control of pharmacometrics datasets
Authors: Dotan Or , Radivojevic Andrijana , Singh Rajendra 
Published: August 2023

AbstractDataCheQC is an interactive application based on the R Shiny framework developed for the purposes of performing quality control (QC) checks on pharmacometric datasets, and thereby supporting the implementation of model‐informed drug development. Features include visual inspection of variables and data entries for errors and/or anomalies, and ensuring structural integrity through comparison with a dataset specification file. The app, which requires no programming knowledge to operate, allows the user to collect all findings into a summary report downloadable directly from the app itself. The source code for the app is freely available on GitHub under an open‐source license (https://github.com/DotanOr/DataCheQC) and can also be accessed online (https://dotanor.shinyapps.io/DataCheQC/).