bluuebunny/crossref_metadata_2025_split huggingface dataset:
Understanding the impact of Covid-19 on the delivery and receipt of prison healthcare: an international scoping review
Authors: Hearty Pip , Canvin Krysia , Bellass Sue , Hampton Sarah , Wright Nat , Sheard Laura 
Published: October 2023

Abstract
Background
People being held in prison are particularly vulnerable to Covid-19 infection, as places of detention are high-risk environments for spread of infection. Due to this risk, many prisons across the globe introduced measures to reduce the risk of Covid-19 transmission. The pandemic changed almost all aspects of prison life, including prison healthcare provision. We undertook a scoping review to understand what is known about the impact of the Covid-19 pandemic on the receipt and delivery of prison healthcare. This scoping review is part of a wider mixed-methods study focusing more specifically on the impact that Covid-19 had on prison healthcare delivery in England.

Methods
We conducted an international scoping review of peer-reviewed articles published between December 2019 and January 2022, across six electronic databases. We also conducted a hand search of key journals and the reference lists of included articles.

Results
Twelve articles met our inclusion criteria. The articles focused primarily on prisons in high-income countries and mostly explored the impact that the pandemic had on the provision of drug treatment services. Some aspects of drug treatment services were more impacted than others, with those delivered by external providers and preparations for release particularly hindered. Whilst prison mental health services were purportedly available, there were changes regarding how these were delivered, with group therapies suspended and most consultations taking place using telehealth. The articles reported both digital and non-digital adaptations or innovations to prison healthcare services to ensure continued delivery. Collaboration between different agencies, such as the prison itself, healthcare providers, and non-governmental organisations, was key to facilitating ongoing provision of healthcare to people in prison.

Conclusions
Covid-19 impacted on prison healthcare internationally, but different treatment services were affected in disparate ways, both within and between countries. The published literature concentrates on the impact on drug treatment services. Prison healthcare providers rapidly adapted their processes to attempt to maintain service provision.
Impact of perceived social support and psychological capital on university students’ academic success: testing the role of academic adjustment as a moderator
Authors: Hassan Mehdi , Fang Shuanghu , Malik Aamir Abbas , Lak Tauqeer Ahmad , Rizwan Muhammad 
Published: October 2023

Abstract
Background
Academic adjustment is a significant predictor of the academic success of students. The aim of this study is to examine how academic adjustment plays an important role as a moderator in perceived social support, psychological capital, and success outcome relationships among university students.

Methods
Three hundred seventy-three valid questionnaires were collected from different departments of different universities using convenience sampling method. Smart PLS 3.0 was used for data analysis.

Results
The study results indicated that perceived social support and psychological capital have a significant direct impact on academic adjustment and academic success. The results of the study also demonstrated that the relationships between perceived social support, psychological capital, and successful outcomes are partially and moderated by academic adjustment.

Conclusion
This research develops a predictive model for examining students’ academic adjustment to university and the outcomes of success based on social capital theory and conservation of resources theory. The current study suggests that it is necessary for policymakers to make full use of their ability to enable students to adjust to university life effectively. Higher education institutions should therefore pay full attention to the development of students’ academic skills that contribute to academic success.
Associations between body composition and cardiovascular disease risk in pre- and postmenopausal women
Authors: Rathnayake Nirmala , Alwis Gayani , Lenora Janaka , Lekamwasam Sarath 
Published: October 2023

Abstract
Background
Menopause transition is a critical phase of women’s life since body composition and cardiovascular risk factors begin to change during this period. This study investigated the associations between body composition and cardiovascular disease risk (CVDR) in pre (PrMW) and postmenopausal women (PMW).

Methods
A community-based cross-sectional study involving 184 PrMW and 166 PMW, selected randomly from Bope-Poddala area in Galle, Sri Lanka was carried out. Total-body fat mass (TBFM, kg), total body skeletal muscle mass (TBSMM, kg), total body bone mineral density (TBBMD, g/cm2) and total body bone mineral content (TBBMC, g) were measured with total body DXA scanner and they were taken as indices of body composition. CVDR was evaluated using Framingham risk score (FRS%) and individual CVDR factors, such as systolic blood pressure (SBP, mmHg), diastolic blood pressure (DBP, mmHg), fasting blood sugar (FBS, mg/dl), total cholesterol, (TC, mg/dl), tryglycerides (TG, mg/dl), high-density lipoprotein (HDL, mg/dl) and low-density lipoprotein (LDL, mg/dl). Correlations between indices of body composition and CVDR factors were assessed with adjusted partial correlation (adjusted for socio-demographic and gynecologic status, age, daily calorie consumption and physical activity level).

Results
Mean(SD) age of PrMW and PMW were 42.4(6.0) and 55.8(3.8) years respectively. TBFM correlated with SBP and DBP (r range; 0.15 to 0.21) and TBSMM correlated with SBP, DBP and HDL (r range; − 0.24 to 0.17) only in PrMW (p < 0.05). TBBMD correlated only with FBS in PMW (r; − 0.21, p = 0.01). TBBMC did not show correlations with CVDR factors (p > 0.05). Body composition indices did not show correlations with total CVDR estimated by FRS and in both groups of women (p > 0.05).

Conclusions
Both SBP and DBP are associated with FM and SMM in different ways among PrMW. This association, however, was not seen among PMW. FBS is associated with BMD only in PMW.
Effects of two different angiotensin receptor blockers on blood glucose level and HbA1c in type-2 diabetes mellitus patients with hypertension
Authors: Bhati Shafat Iqbal , Haque S. F. , Siddiqi S. S. , Ahmad Rizwan 
Published: October 2023

AbstractDiabetes mellitus is a common metabolic disorder characterized by chronic hyperglycemia and disturbance of carbohydrate, fats, and protein metabolism. Type 2 diabetes mellitus results from reduced insulin secretion, decreased glucose utilization, and increased glucose production, which results in hyperglycemia. Hypertension further increases the risk of cardiovascular diseases, including coronary heart disease (CHD), congestive heart failure (CHF), ischemic and hemorrhagic stroke, renal failure, and peripheral arterial disease (PAD). Angiotensin receptor blockers (ARBs) are very effective antihypertensive drugs. This study was done to find the effects of two different angiotensin receptor blockers on various biochemical markers in type-2 diabetes mellitus patients.MethodsThis was a prospective interventional study, comparing two ARBs Azilsartan and telmisartan, involving 76 patients with type 2 diabetes mellitus and hypertension.ResultsBoth drugs controlled blood pressure equally. The study showed that improvement in fasting plasma glucose was more with Azilsartan as compared to Telmisartan but their mean difference is not statistically significant (p > 0.05). The improvement in post-prandial plasma glucose and HbA1C was more with Telmisartan as compared to Azilsartan but only mean HbA1C was statistically significant (p < 0.05).ConclusionsTelmisartan has a better impact on HbA1c reduction than Azilsartan, as a part of the pleotropic effect of ARBs.
Role of Modeling and Simulation in Preclinical and Clinical Long-Acting Injectable Drug Development
Authors: Siemons Maxime , Schroyen Bram , Darville Nicolas , Goyal Navin 
Published: October 2023

AbstractInnovations in the field of long-acting injectable drug development are increasingly being reported. More advanced in vitro and in vivo characterization can improve our understanding of the injection space and aid in describing the long-acting injectable (LAI) drug’s behavior at the injection site more mechanistically. These innovations may enable unlocking the potential of employing a model-based framework in the LAI preclinical and clinical space. This review provides a brief overview of the LAI development process before delving deeper into the current status of modeling and simulation approaches in characterizing the preclinical and clinical LAI pharmacokinetics, focused on aqueous crystalline suspensions. A closer look is provided on in vitro release methods, available biopharmaceutical models and reported in vitro/in vivo correlations (IVIVCs) that may advance LAI drug development. The overview allows identifying the opportunities for use of model-informed drug development approaches and potential gaps where further research may be most warranted. Continued investment in improving our understanding of LAI PK across species through translational approaches may facilitate the future development of LAI drug products.
Graphical Abstract
Generalized limited penetrable vector visibility graph
Authors: Ren Weikai , Jin Ningde , Jin Zhijun 
Published: October 2023

Abstract
The paper introduced a new way for converting the multivariate time series to complex network combining the vector visibility graph and limited penetrable theory, and the concept is discussed on the generalized limited penetrable range, termed as generalized limited penetrable vector visibility graph. The proposed method is verified by the Lorenz system. We use the four kinds of network structure characteristic to evaluate the noise resistance of the method quantitatively, and provide the strategy with guidance for choosing the optimal limited penetrable range. The results show that the limited penetrable vector visibility graph inherits the noise resistance of limited penetrable visibility graph in the multivariate time series analysis. The generalized limited penetrable range is discussed to clarify the effect on the network structure.
Abscisic acid biosynthesis is necessary for full auxin effects on hypocotyl elongation
Authors: Emenecker Ryan J. , Cammarata Joseph , Yuan Irene , Howard Caroline , Ebrahimi Naghani Shekufeh , Robert Helene S. , Nambara Eiji , Strader Lucia C. 
Published: October 2023

ABSTRACT
In concert with other phytohormones, auxin regulates plant growth and development. However, how auxin and other phytohormones coordinately regulate distinct processes is not fully understood. In this work, we uncover an auxin-abscisic acid (ABA) interaction module in Arabidopsis that is specific to coordinating activities of these hormones in the hypocotyl. From our forward genetics screen, we determine that ABA biosynthesis is required for the full effects of auxin on hypocotyl elongation. Our data also suggest that ABA biosynthesis is not required for the inhibitory effects of auxin treatment on root elongation. Our transcriptome analysis identified distinct auxin-responsive genes in root and shoot tissues, which is consistent with differential regulation of growth in these tissues. Further, our data suggest that many gene targets repressed upon auxin treatment require an intact ABA pathway for full repression. Our results support a model in which auxin stimulates ABA biosynthesis to fully regulate hypocotyl elongation.
Initial Assessment and Management of Select Musculoskeletal Injuries: A Team Physician Consensus Statement
Authors: HERRING STANLEY A. , KIBLER W. BEN , PUTUKIAN MARGOT , BOYAJIAN-O'NEILL LORI A. , CHANG CINDY J. , FRANKS R. ROB , HUTCHINSON MARK , INDELICATO PETER A. , O’CONNOR FRANCIS G. , POWELL AMY , ROACH RYAN , SAFRAN MARC , STATUTA SIOBHAN M. , SUTTON KAREN 
Published: October 2023

ABSTRACT
Musculoskeletal injuries occur frequently in sport during practice, training, and competition. Injury assessment and management are common responsibilities for the team physician. Initial Assessment and Management of Musculoskeletal Injury—A Team Physician Consensus Statement is title 23 in a series of annual consensus documents written for the practicing team physician. This statement was developed by the Team Physician Consensus Conference, an annual project-based alliance of six major professional associations. The goal of this document is to help the team physician improve the care and treatment of the athlete by understanding the initial assessment and management of selected musculoskeletal injuries.
Understanding Partnership Formation and Repeated Contributions in Federated Learning: An Analytical Investigation
Authors: Bi Xuan , Gupta Alok , Yang Mochen 
Published: October 2023

Limited access to large-scale data is a key obstacle to building machine learning (ML) applications in practice, partly due to a reluctance of information exchange among data owners out of privacy and data security concerns. To address this “information silo” problem, federated learning (FL) techniques have been proposed to enable decentralized model training via an orchestrating central server and have received increasing attention in several industries (including healthcare and finance). Despite its superior privacy protection property, adoption of FL is limited by a lack of systematic understanding of its underlying economics. In this paper, we take an analytical approach to answer two questions: (1) when do data owners prefer to form a FL partnership over building ML models by themselves and (2) how can different contractual mechanisms be used to promote repeated contributions to FL (the cooperative outcome that benefits all participants). We formulate an iterated prisoner’s dilemma (IPD) model that accounts for unique FL characteristics, including the specification of the payoff matrix and the involvement of a central server to sanction noncooperation. We find that partnership formation requires participants to be not too forward-looking in temporal preferences, which is contrary to the conventional wisdom in IPD. Furthermore, to promote repeated contributions, it is insufficient to only rely on penalties imposed by the central server or by participants for noncooperation, but a combination of both is enough. Our work advances theoretical understanding of the economics of FL and provides prescriptive insights that can inform FL participant selection and contract design. This paper was accepted by D. J. Wu, information systems. Funding: This work was partially supported by Cisco Research. Supplemental Material: The online appendices are available at https://doi.org/10.1287/mnsc.2023.00611 .
How Do Product Recommendations Help Consumers Search? Evidence from a Field Experiment
Authors: Wan Xiang (Shawn) , Kumar Anuj , Li Xitong 
Published: October 2023

Product recommendations can benefit consumers’ online product search via multiple underlying mechanisms, such as showing products that offer them high value, facilitating navigation on the website, or exposing more product information. However, it is unclear ex ante which is the primary underlying mechanism that drives the benefits of product recommendations to consumers. We conducted a randomized field experiment to estimate the benefits of an item-based collaborative filtering (CF) recommendation system to consumers. We collect unique data on the affinity scores computed by an item-based CF algorithm to develop measures of a product’s net value and horizontal (taste) fit for consumers. Our results indicate that product recommendations help consumers search for higher-value products that are lower priced, fit their tastes better, or both. Besides that, we find that the ability to find higher-value products (rather than easy navigation or exposure to more product information) is the primary driver for consumers’ higher purchase probabilities under recommendations. We further find a higher benefit of recommendations in product categories with higher price dispersion and heterogeneity in consumers’ tastes, providing additional evidence for the lower price and better horizontal fit mechanisms. Finally, we find that when made available, consumers substitute their usage of other search tools on the website with product recommendations. Our findings have important implications for online retailers, policymakers, regulators, and item-based CF recommendation system design.This paper was accepted by D. J. Wu, information systems.Funding: This work was supported by the Public Utility Research Center of the University of Florida, the Hi! PARIS Fellowship, the HEC Foundation, and the Leavey School of Business at Santa Clara University [Grant 102720].Supplemental Material: Data and the online appendix are available at https://doi.org/10.1287/mnsc.2023.4951 .
Comparing Sequential Forecasters
Authors: Choe Yo Joong , Ramdas Aaditya 
Published: October 2023

Anytime Valid Comparison of Sequential Forecasters How do we compare forecasters that each make a probabilistic prediction on a sequence of events (e.g., weather and sports)? In “Comparing Sequential Forecasters,” Choe and Ramdas propose flexible approaches to sequential inference on the mean score difference between any two forecasters. To estimate this time-varying quantity, the authors propose a sequential analog of confidence intervals, called confidence sequences (CSs). These CSs correctly cover the score difference under continuous monitoring, and the evaluator can freely peek at the scores to stop the experiment (“anytime valid”). The authors further develop a complementary anytime valid approach called e-processes, which quantify the evidence against the claim that one forecaster is never better than the other in mean scores. The validity of these methods does not depend on stationarity or other assumptions on how the score differences evolve sequentially. In their paper, the authors showcase CSs and e-processes for comparing real-world baseball and weather forecasters.
Split ring multiband refractive index cancer sensor based on terahertz radiation
Authors: Li Zhengzheng 
Published: October 2023

A design of a multiband terahertz (THz) metamaterial biosensor for early cancer detection is proposed. The THz biosensor composed of several arc-shaped connecting parts operates at three different frequencies, and the absorptivity of the three resonant frequencies exceeds 99% in free space. In this work, we analyzed the absorption spectrum and polarization independence under different design parameters, improved the performance of the sensor by adjusting the absorption characteristics of the sensor, and gave the calculation results. Additionally, we studied the influence of the refractive index and thickness of different samples on the sensor, and theoretically calculated the sensitivity of the sensor to basal cells, breast cells, cervical cells, and their corresponding cancer cells. The result shows that the maximum sensitivity of the sensor can reach 642.5 GHz/RIU, which is much higher than the reported biosensors. Therefore, the proposed THz sensor has great potential in early detection and early warning of cancer.
Ultra-compact all-optical half-adder based on inverse design
Authors: Zhang Zhigang , Yang Hongfeng , Luo Mingyu 
Published: October 2023

The all-optical half-adder is an important module in integrated photonics, which can be used to realize optical computing and optical communication. At present, the all-optical half-adder implemented by traditional methods cannot easily be further compressed in size, which also limits the development of its integration. In this paper, four optical devices, the power beam splitter, waveguide cross, XOR gate, and AND gate, are designed by the inverse design method. Their footprint is only 2µm×2µm, and they have extremely low insertion loss and high contrast ratio. These devices are further interconnected with waveguides to realize an all-optical half-adder module with a size of only 10µm×4.5µm. When working at 1550 nm, the module exhibits contrast ratios of 14.47 dB and 5.14 dB for SUM and CARRY, respectively. These photonic devices have the characteristics of ultra-compact size and high performance, rendering them highly valuable for photonic integrated circuits.
Safety and tolerability of weekly docetaxel plus nintedanib: A phase I trial after first-line chemotherapy failure in NSCLC
Authors: Westeel Virginie , Schuette Wolfgang , Urban Thierry , Radonjic Dejan , von Wangenheim Ute , Lorence Robert M. , Reck Martin 
Published: October 2023

Introduction
Studies have shown improved tolerability with once-weekly versus three-weekly docetaxel in the second-line treatment of advanced non-small cell lung cancer (NSCLC). This study aimed to evaluate the tolerability of nintedanib plus weekly docetaxel in patients with NSCLC.

Methods
This phase I, open-label, dose-escalation study (NCT02668393) enrolled patients with locally advanced/metastatic adenocarcinoma NSCLC that had progressed on first-line platinum chemotherapy. The primary endpoint was to determine the maximum tolerated dose of nintedanib (up to 200 mg twice daily [BID]) combined with weekly docetaxel (35 mg/m2) on days 1, 8, and 15 based on the occurrence of dose-limiting toxicities (DLTs) over a 28-day treatment cycle. Adverse events (AEs) were also evaluated.

Results
The trial terminated prematurely due to recruitment challenges. At termination, seven patients had received nintedanib 150 mg BID and seven nintedanib 200 mg BID, in combination with weekly docetaxel. In the first treatment cycle, DLTs were reported for 1/6 evaluable patients (16.7%) in each group. The disease control rates were 57.1% and 42.9%, respectively. Grade ≥3 treatment-related AEs affected three patients in each group (42.9%); neutropenia was reported in one patient (14.3%) in each group. Treatment-related serious AEs were reported in three patients (42.9%) receiving nintedanib 150 mg, and two patients (28.6%) receiving nintedanib 200 mg.

Conclusions
Overall, nintedanib plus weekly docetaxel was well-tolerated in patients with locally advanced or metastatic lung adenocarcinoma who progressed on first-line platinum-based chemotherapy, without loss of efficacy. DLTs were manageable.