bluuebunny/crossref_metadata_2025_split huggingface dataset:
Training for “Worst-Case” Scenarios in Sidestepping: Unifying Strength and Conditioning and Perception–Action Approaches
Authors: Kadlec Daniel , Miller-Dicks Matt , Nimphius Sophia 
Published: April 2023

AbstractSidesteps can impose high demands on the knee joint and lead to non-contact anterior cruciate ligament (ACL) injuries. Understanding how different constraints shape an athlete’s movement strategy and the associated joint demands can help design training interventions to increase injury resilience. Motor capacities, such as muscular strength and power, act as boundaries for the safe execution of perceptual–motor skills and co-determine the emergence of unique movement strategies. Increasing single- and multi-joint strength enables a broader solution space for movement strategies and increases load tolerance. Manipulating task constraints during sidesteps can be used in the training process to systematically expose athletes to increasing demands (on the knee joint or any joint or structure) in preparation for “worst-case” scenarios. In particular, the type and timing of information available influence the preparation time, subsequently affecting the movement strategy and the associated magnitude of external knee joint loading (e.g., knee valgus moment). While an athlete’s perceptual–cognitive skills contribute to the preparation time during in situ scenarios, attempts to further improve those skills with the aim of increasing athlete preparation time prior to “worst-case” scenarios are yet to demonstrate conclusive evidence of transfer to on-field situations. Therefore, in the current article, we reflect on the impact of different interacting constraints that influence the execution of sidesteps during in situ scenarios and impose high demands on the knee joint. Subsequently, we discuss how an integrated perspective, drawing on knowledge and perspectives from strength and conditioning and perception–action, may enhance an athlete’s ability to withstand “worst-case” scenarios and adapt to perform varied movement executions when sidestepping.
Effect of WeChat-based intervention on food safety knowledge, attitudes and practices among university students in Chongqing, China: a quasi-experimental study
Authors: Cai Zhengjie , Luo Xinmiao , Xu Xianglong , Shi Zumin , Reis Cesar , Sharma Manoj , Hou Xiaorong , Zhao Yong 
Published: April 2023

Abstract
Background
Food safety is of global importance and has been of concern in university settings in recent years. However, effective methods to conduct food safety education are limited. This study aims to evaluate the effects of an intervention on food safety knowledge, attitudes and practices (KAP) by social media, WeChat, among university students.

Methods
A quasi-experimental study was conducted in Chongqing, China. Two departments were recruited randomly from a normal university and a medical university. One department from each university was randomly selected as the intervention group and the other as the control group. All freshmen students in each selected department were chosen to participate in this study. One thousand and twenty-three students were included at baseline, and 444 students completed the study. This intervention was conducted through food safety-related popular science articles with an average of three articles per week released by WeChat official accounts called "Yingyangren" for two months to the intervention group. No intervention was conducted in the control group. An independent t-test was used to test statistical differences in the food safety KAP scores between the two groups. A paired t-test was used to test statistical differences in the food safety KAP scores between before and after the intervention. And quantile regression analysis was conducted to explore the difference between the two groups across the quantile levels of KAP change.

Results
After the intervention, compared with control group, participants in the intervention group did not score significant higher on knowledge (p = 0.98), attitude (p = 0.13), and practice (p = 0.21). And the scores of food safety knowledge and practices slightly improved after the intervention both in the intervention group (p = 0.01 and p = 0.01, respectively) and in the control group (p = 0.0003 and p = 0.0001, respectively). Additionally, the quantile regression analysis showed that the intervention had no effect on improving the food safety KAP scores.

Conclusions
The intervention using the WeChat official account had limited effects on improving the food safety KAP among the university students. This study was an exploration of food safety intervention using the WeChat official account; valuable experience can be provided for social media intervention in future study.

Trial registration

ChiCTR-OCH-14004861.
Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature review
Authors: Bibri Simon Elias , Alexandre Alahi , Sharifi Ayyoob , Krogstie John 
Published: April 2023

AbstractThere have recently been intensive efforts aimed at addressing the challenges of environmental degradation and climate change through the applied innovative solutions of AI, IoT, and Big Data. Given the synergistic potential of these advanced technologies, their convergence is being embraced and leveraged by smart cities in an attempt to make progress toward reaching the environmental targets of sustainable development goals under what has been termed “environmentally sustainable smart cities.” This new paradigm of urbanism represents a significant research gap in and of itself. To fill this gap, this study explores the key research trends and driving factors of environmentally sustainable smart cities and maps their thematic evolution. Further, it examines the fragmentation, amalgamation, and transition of their underlying models of urbanism as well as their converging AI, IoT, and Big Data technologies and solutions. It employs and combines bibliometric analysis and evidence synthesis methods. A total of 2,574 documents were collected from the Web of Science database and compartmentalized into three sub-periods: 1991–2015, 2016–2019, and 2020–2021. The results show that environmentally sustainable smart cities are a rapidly growing trend that markedly escalated during the second and third periods—due to the acceleration of the digitalization and decarbonization agendas—thanks to COVID-19 and the rapid advancement of data-driven technologies. The analysis also reveals that, while the overall priority research topics have been dynamic over time—some AI models and techniques and environmental sustainability areas have received more attention than others. The evidence synthesized indicates that the increasing criticism of the fragmentation of smart cities and sustainable cities, the widespread diffusion of the SDGs agenda, and the dominance of advanced ICT have significantly impacted the materialization of environmentally sustainable smart cities, thereby influencing the landscape and dynamics of smart cities. It also suggests that the convergence of AI, IoT, and Big Data technologies provides new approaches to tackling the challenges of environmental sustainability. However, these technologies involve environmental costs and pose ethical risks and regulatory conundrums. The findings can inform scholars and practitioners of the emerging data-driven technology solutions of smart cities, as well as assist policymakers in designing and implementing responsive environmental policies.
Feasibility of the use of WhatsApp messaging technology to facilitate obstetric referrals in rural Ghana
Authors: Dzomeku Veronica Millicent , Mensah Adwoa Bemah Boamah , Nakua Emmanuel Kweku , Agbadi Pascal , Okyere Joshua , Kumah Alex , Munukpa Jacob , Ofosu Anthony Adofo , Lockhart Nancy , Lori Jody R. 
Published: April 2023

Abstract
Background
Obstetric referrals thrive on rapid transfer of information and data, and effective communication in order to reduce delays in receiving of quality care once the woman reaches the facility. We explored health care workers’ perception of the feasibility and acceptance of WhatsApp messaging technology to facilitate obstetric referrals in selected health facilities in rural Ghana.

Methods
The study used a qualitative research method and adheres to the interpretivist ideology. This study was conducted in the Sene East District (SED) and Sene West District (SWD) in the Bono East region of Ghana. Sixteen healthcare facilities were sampled. In-depth interviews and focused group discussions were conducted. QSR NVivo-12 for data management and analysis. Collaizzi's descriptive phenomenological technique of analysis was used to analyse the data.

Results
From the analysis, three main themes emerged. The themes included the HCWs’ perceptions of the feasibility of WhatsApp messaging technology (sub: optimist and pessimist perspectives), challenges to the acceptance of WhatsApp messaging technology (sub: challenge with getting data, network challenges, and risk of platform used for unintended purposes), and the HCWs’ perceptions of the acceptance of WhatsApp messaging technology (sub: easy communication and information sharing, improvement in quality of service, and tracking referred clients’ compliance).

Conclusion
We conclude that the implementation of WhatsApp messaging technology in obstetric referral is feasible and acceptable to HCWs in rural healthcare facilities in Ghana. To promote the acceptance and use of WhatsApp messaging technology in obstetric referrals, there is a need to build the capacity of HCWs and provide a working guideline to regulate the platform. The government and its partners must consider providing internet data and airtime, as well as dedicated phones to support the implementation of the use of WhatsApp messaging technology in promoting effective obstetric referral.
Prediction of Brain Metastases Development in Patients With Lung Cancer by Explainable Artificial Intelligence From Electronic Health Records
Authors: Li Zhao , Li Rongbin , Zhou Yujia , Rasmy Laila , Zhi Degui , Zhu Ping , Dono Antonio , Jiang Xiaoqian , Xu Hua , Esquenazi Yoshua , Zheng W. Jim 
Published: April 2023

PURPOSE Early detection of brain metastases (BMs) is critical for prompt treatment and optimal control of the disease. In this study, we seek to predict the risk of developing BM among patients diagnosed with lung cancer on the basis of electronic health record (EHR) data and to understand what factors are important for the model to predict BM development through explainable artificial intelligence approaches accurately. MATERIALS AND METHODS We trained a recurrent neural network model, REverse Time AttentIoN (RETAIN), to predict the risk of developing BM using structured EHR data. To interpret the model's decision process, we analyzed the attention weights in the RETAIN model and the SHAP values from a feature attribution method, Kernel SHAP, to identify the factors contributing to BM prediction. RESULTS We developed a high-quality cohort with 4,466 patients with BM from the Cerner Health Fact database, which contains over 70 million patients from more than 600 hospitals. RETAIN uses this data set to achieve the best area under the receiver operating characteristic curve at 0.825, a significant improvement over the baseline model. We also extended a feature attribution method, Kernel SHAP, to structured EHR data for model interpretation. Both RETAIN and Kernel SHAP can identify important features related to BM prediction. CONCLUSION To the best of our knowledge, this is the first study to predict BM using structured EHR data. We achieved decent prediction performance for BM prediction and identified factors highly relevant to BM development. The sensitivity analysis demonstrated that both RETAIN and Kernel SHAP could discriminate unrelated features and put more weight on the features important to BM. Our study explored the potential of applying explainable artificial intelligence for future clinical applications.
Remembrance of Nanjido
Authors: Oh Se-Mi 
Published: April 2023

Abstract
This article examines the transformation of Nanjido, an island that served as a landfill for Seoul from 1978 to 1993, into an ecological park called World Cup Park in preparation for the 2002 FIFA World Cup. It discusses how this mega-event instigated urban planning focusing on ecological restoration and urban regeneration and how the history of Nanjido was subsequently framed as the undoing of the industrial past of the city, most notably seen in its waste management. This article analyzes this contested space through a careful reading of two documentary sources: The Millennium Park Master Plan (Milleniŏm kongwŏn kibon kyehoek, 2000) and Memories of the Park: The World Cup Park (Kongwŏn ŭi kiŏk: Wŏldŭk’ŏp kongwŏn, 2020). Through the reading of a master plan that articulates a vision for the future and an archive that systematically gazes toward the past, this article unpacks the narrative of this strange space, where preindustrial, industrial, and postindustrial histories simultaneously coexist and cancel each other out.
Launching the Hsu-Tang Library of Classical Chinese Literature on the 250th Anniversary of the Complete Library of the Four Treasuries
Authors: Denecke Wiebke , Klein Lucas 
Published: April 2023

Abstract
This article takes the inauguration of the Hsu-Tang Library of Classical Chinese Literature as an opportunity to reflect on today's role of classical literatures and their importance to the transformation of the humanities. Edited by Wiebke Denecke and Lucas Klein and published by Oxford University Press, the library was established by a gift from Oscar L. Tang and Hsin-Mei Agnes Hsu-Tang—a descendant of Ji Yun, chief compiler of the Complete Library of the Four Treasuries (Siku quanshu), and of Xu Guangqi, China's “first convert.” After detailing how the Library carries on the legacies of both the Complete Library and the Jesuit project of cross-cultural dialogue and translation, the essay showcases how the Loeb Classical Library of Greek and Roman literatures, established a century ago, is both a model and radically different enterprise from recently endowed bilingual classical libraries, including the Murty Classical Library of India. The article then outlines the vision and hopes for the Hsu-Tang Library, namely, to publish translations of Chinese literature that are both intelligently scholarly and eminently readable and thus deepen and broaden the possibilities of what Chinese literature can mean—also in and for the English language. Responses to the essay will be considered for publication in a future forum.
Single-Session Gamma Knife Radiosurgery for Patients With 20 or More Brain Metastases
Authors: Wei Zhishuo , Luy Diego D. , Jose Shalini , Deng Hansen , Yavan Sila , Worrell Stephen , Belkhir J. Raouf , Tang Lilly W. , Niranjan Ajay , Lunsford L. Dade 
Published: April 2023

BACKGROUND:
Stereotactic radiosurgery (SRS) is a widely accepted treatment modality for brain metastases. The role of SRS in patients with higher numbers of metastases remains controversial.

OBJECTIVES:
To define outcomes in patients with ≥20 brain metastases managed using single-session SRS.

METHODS:
This single-institution retrospective cohort study studied 75 patients (26 non–small-cell lung cancer, 21 small-cell lung cancer, 14 breast cancer, and 14 melanoma) undergoing single-session SRS. The median number of tumors per patient was 24, and the median cumulative tumor volume was 3.70 cc. The median margin dose prescribed to each individual tumor was 16 Gy. The median integral cranial dose was 5492 mJ. The median beam on time was 160 minutes. Univariate and multivariate analyses were performed with significance set at P < .05.

RESULTS:
The median overall survival after SRS was 8.8 months (patients with non–small-cell lung cancer), 4.6 months (patients with small-cell lung cancer), 11.3 months (patients with breast cancer), and 4.1 months (patients with melanoma). Primary cancer type, number of brain metastases, and concurrent immunotherapy were significant factors in predicting survival. Local tumor control rate per patient was 97.3% and 94.6% at 6 and 12 months after SRS, respectively. Thirty-six patients underwent additional SRS for new tumor development with a median time after SRS of 5 months. Three patients experienced adverse radiation events.

CONCLUSION:
Single-session SRS is a well-tolerated palliative treatment option even in patients with ≥20 brain metastases, achieving local control rate >90% with low risks of neurotoxicity while continuing concurrent systemic oncological care.
Blood Pressure Responses to Postexercise Circulatory Occlusion Are Attenuated After Exercise-Induced Muscle Weakness
Authors: LEE JORDAN B. , KATERBERG CARLIN , BOMMARITO JULIAN C. , POWER GEOFFREY A. , MILLAR PHILIP J. 
Published: April 2023

ABSTRACT

Purpose
Exercise blood pressure (BP) responses are thought to be determined by relative exercise intensity (percent maximal voluntary contraction (MVC) strength). However, cross-sectional studies report that during a static contraction, higher absolute force is associated with greater BP responses to relative intensity exercise and subsequent muscle metaboreflex activation with postexercise circulatory occlusion (PECO). We hypothesized that a bout of unaccustomed eccentric exercise would reduce knee extensor MVC and subsequently attenuate BP responses to PECO.

Methods
Continuous BP, heart rate, muscle oxygenation, and knee extensor electromyography were recorded in 21 young healthy individuals (female, n = 10) during 2 min of 20% MVC static knee extension exercise and 2 min of PECO, performed before and 24 h after 300 maximal knee extensor eccentric contractions to cause exercise-induced muscle weakness. As a control, 14 participants repeated the eccentric exercise 4 wks later to test whether BP responses were altered when exercise-induced muscle weakness was attenuated via the protective effects of the repeated bout effect.

Results
Eccentric exercise reduced MVC in all participants (144 ± 43 vs 110 ± 34 N·m, P < 0.0001). BP responses to matched relative intensity static exercise (lower absolute force) were unchanged after eccentric exercise (P > 0.99) but were attenuated during PECO (systolic BP: 18 ± 10 vs 12 ± 9 mm Hg, P = 0.02). Exercise-induced muscle weakness modulated the deoxygenated hemoglobin response to static exercise (64% ± 22% vs 46% ± 22%, P = 0.04). When repeated after 4 wks, exercise-induced weakness after eccentric exercise was attenuated (−21.6% ± 14.3% vs −9.3 ± 9.7, P = 0.0002) and BP responses to PECO were not different from control values (all, P > 0.96).

Conclusions
BP responses to muscle metaboreflex activation, but not exercise, are attenuated by exercise-induced muscle weakness, indicating a contribution of absolute exercise intensity on muscle metaboreflex activation.
Effectiveness of atorvastatin on the levels of nitric oxide and serum lipids in coronary artery disease patients: Response to clopidogrel resistance
Authors: Aldallal Ali A. R. , Mohammad Bassim I , Rgeeb Ahmed N. , Jamil Dina A , Al-Aubaidy Hayder A 
Published: April 2023

Introduction and aim: Lipid lower drugs have been widely used to prevent atherosclerosis in patients with heart disease. This study aims to compare the findings between the efficacy of 20 mg/day and 40 mg/day atorvastatin supplementation for 16 weeks, on nitric oxide level and lipid profile in clopidogrel resistant and non-resistant patients with coronary heart disease (CAD). Methods: This retrospective study included two hundred and eighty-four participants with CAD. Patients were subjected to platelets function to determine the clopidogrel resistance. 88 patients were included into the clopidogrel resistant group, and 196 patients were included into the clopidogrel non-resistant group. Each group was subdivided into two subgroups depending on the daily dose of atorvastatin therapy (daily intake of 20 mg and 40 mg, orally). Results: Irrelevant to the study group, there was significant increase in serum levels of NO following 40 mg/day clopidogrel supplementation for 16 weeks as compared to 20 mg/day clopidogrel supplementation, P ≤ 0.05. This was associated with a significant reduction in serum lipids (total cholesterol and LDL-C), P ≤ 0.05. Conclusion: Atorvastatin supplementation improves serum nitric oxide level, and serum lipid profile in patients with CAD with and without clopidogrel resistance.
TGVx: Dynamic Personalized POI Deep Recommendation Model
Authors: Wang Xiao-Jun , Liu Tao , Fan Weiguo 
Published: April 2023

Personalized points-of-interest (POI) recommendation is very important for improving the service quality of location-based social network applications. It has become one of the most popular research directions in the industry and academia. However, the realization of high-quality personalized POI recommendation faces three major challenges: (i) the interest drift issue caused by the spatiotemporal dynamics of user check-in behavior, (ii) how to integrate as much heterogeneous information as possible to alleviate data sparseness and cold start issues, and (iii) how to use implicit feedback to model complex high-order nonlinear user-POI interactions. To jointly address all these challenges, we propose the TGVx recommendation framework and establish a dynamic personalized POI deep recommendation model, where T and G respectively represent time and geographic factors, V represents out-of-town visitors, and x represents time slot number. TGVx is composed of x parallel TGV models where the TG module mines high-order nonlinear user-POI interaction relationships and integrates multisource heterogeneous information, and the V module transfers the check-in records of out-of-town visitors in hometowns and generates pseudo check-in records in the target city. Technically, we design a new unsupervised deep learning network T-SemiDAE for the TG module. We built a POI-word heterogeneous network for the V module and used graph embedding technology to match the most similar POIs across cities and transfer check-in records. The experimental results on the actual datasets show that the TGVx model is always better than other advanced models in terms of accuracy and diversity for local and out-of-town recommendation scenarios. Compared with the best baseline model semi-deep auto-encoder with a conditional layer the average improvement rates of accuracy and diversity of TGVx are 17.1% to 58.6% and 2.25% to 28.86%, respectively. In theory, our research effectively uses data science and analysis methods to design a recommender system. In practice, our research is motivated by practical problems, and the research results have high practical promotion value. History: Accepted by Ram Ramesh, Area Editor for Data Science & Machine Learning. Funding: This work was supported by the National Natural Science Foundation of China [Grants 71831003, 72293563, and 72172025], the Dalian Science and Technology Talent Innovation Support Policy Project [The High-level Talent Innovation Team Project 2022RG17], and the Liaoning Provincial Department of Education [Basic Scientific Research Project LJKMZ20221582]. Supplemental Material: The software that supports the findings of this study is available within the paper and its Supplemental Information ( https://pubsonline.informs.org/doi/suppl/10.1287/ijoc.2023.1286 ) as well as from the IJOC GitHub software repository ( https://github.com/INFORMSJoC/2021.0010 ) at ( http://dx.doi.org/10.5281/zenodo.7407123 ).