Dancing to improve balance control, cognitive-motor functions and quality of life after stroke: a study protocol for a randomised controlled trial by Emmanuel Morice, Julien Moncharmont, Clémentine Jenny, Anne-Violette Bruyneel

“…Very few studies have examined dance in a stroke context, while it is highly adapted and effective for other chronic conditions.Our primary objective is to assess the effects of dance programme on patients’ balance control after stroke. …”
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Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis by Sai Babu Veesam, Aravapalli Rama Satish

“…Finally, a feedback-driven reinforcement learning framework named RL-HITL allows continuous improvement based on human input, which enhances the adaptability of the system over temporal instance sets. …”
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TRENDS IN HR MANAGEMENT AT THE ENTERPRISE by Svitlana Babych, Dmytro Babych

“…Recent studies by Ukrainian scholars are related to the assessment of international experience in HR practices, adaptation of domestic HR systems to external challenges (war, pandemic, etc.). …”
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Effect of bortezomib on the treatment of multiple myeloma: a systematic review protocol by Vania dos Santos Nunes-Nogueira, Lucas Oliveira Cantadori, Rafael Dezen Gaiolla

“…This study aims to assess the effects of bortezomib on the overall survival (OS), progression-free survival, overall response rate, time to next treatment, health-related quality of life, compliance, adverse events and treatment-related death in patients with MM.Methods and analysis We have performed a systematic review and meta-analysis and will include both randomised and non-randomised controlled studies where the effect of bortezomib was compared in similar or dissimilar background therapies in each arm. General and adaptive search strategies have been created for the following electronic health databases: Embase, Medline, LILACS and CENTRAL. …”
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Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion by Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang

“…Finally, LEGNN introduces an adaptive graph structure adjustment mechanism, allowing the model to dynamically adjust the graph topology based on input data, enabling it to flexibly handle evolving data scenarios. …”
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Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…This method leverages TCN's causal and dilated convolution operations to capture long-term sequential features, BiLSTM's bidirectional information processing to ensure the completeness of sequence information, and the SEAttention mechanism to assign adaptive weights to features, effectively enhancing the focus on key features. …”
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Data analysis for performance index of plate heat exchanger filled by ionanofluid-oil: parallel versus counterflow by Ishrat Zahan, Rehena Nasrin, Nusrat Jahan Jakia

“…Abstract Plate heat exchangers ensure their continued relevance and adaptability in meeting modern energy, environmental, and industrial demands. …”
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Supporting mental health: pre-post four-week psychological capacity building program for Indian target sport athletes by Shivjot Gill, Parwinder Singh

“…Conclusions PCB P shows promise for enhancing the athlete’s mental health, but further research with larger samples is needed to confirm its effectiveness and long-term adaptability across diverse sports.…”
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Analysis of the VERNALIZATION-A1 exon-4 polymorphism in polyploid wheat by A. F. Muterko, E. A. Salina

“…One of the key genes that influence the adaptability of wheat to environments and yield are the VRN1 genes. …”
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Comparative analysis of fodder legumes in Murmansk Province by I. V Mikhailova, A. B. Khvostova, L. L. Malyshev

“…According to a set of agronomic characters, the most promising crop is fodder galega, especially its adapted naturalized accessions selected in 1991–1993.…”
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Estimating the Economic and Clinical Value of Reducing Antimicrobial Resistance to Three Gram-negative Pathogens in Japan by Tetsuya Matsumoto, Oliver Darlington, Ryan Miller, Jason Gordon, Phil McEwan, Takahisa Ohashi, Amer Taie, Akira Yuasa

“…**Methods:** A previously published and validated dynamic health economic model was adapted to the Japanese setting. The model used a 10-year time horizon with a willingness-to-pay threshold of ¥5 000 000 (US $46 827) and discounting was applied at a rate of 2% to costs and benefits. …”
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Factors that influence the feasibility and implementation of a complex intervention to improve the treatment of peripheral arterial disease in primary and secondary care: a qualita... by Athanasios Saratzis, Vanessa Lawrence, Ruth Benson, Emma Watson, Prakash Saha, Clair Le Boutillier, Bernadeta Bridgwood

“…The impetus for prioritising and delivering the intervention was further driven by its flexibility and adaptability to be tailored to the individual and to the environment.Conclusions The LEGS intervention can be tailored for use at early and late stages of peripheral arterial disease, provides an opportunity to meet patient needs and can be used to promote shared working across the primary–secondary care interface.…”
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Cross-sectional study measuring the level and relationship of awareness, attitude and willingness to use HIV pre-exposure prophylaxis in Davao City, Philippines by Von Jay Maico Gillado Gabucan

“…This study aims to determine not only the willingness to use HIV PrEP but also to establish whether awareness and attitude affect this.Design This study used a cross-sectional survey research design to examine the awareness, attitude and willingness to use HIV PrEP in Davao City. The survey was adapted from multiple studies and was validated and pilot tested. …”
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Diagnosis of COVID-19 Using a Deep Learning Model in Various Radiology Domains by Yousef Alhwaiti, Muhammad Hameed Siddiqi, Madallah Alruwaili, Ibrahim Alrashdi, Saad Alanazi, Muhammad Hasan Jamal

“…This study proposes a generalized adaptive deep learning model that helps the front-line paramedical employees to easily detect COVID-19 in different radiology domains. …”
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Perception of the organization's safety culture by medical staff in Germany and Russia by K. N. Tsaranov

“…The Russian sample, an adapted and validated Russian-language version of the questionnaire was used (Tsaranov, K.N. et al.).Results. …”
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Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signals by Chuang Lin, Qiong Xiao, Penghui Zhao

“…Methods The sMAPEN consists of three modules, the Multi-scale Attention Fusion (MAF) module, the Patching Encoder (PE) module, and a smoothing layer. The MAF module adaptively captures the local spatiotemporal features at multiple scales, the PE module acquires the global spatiotemporal features of sEMG, and the smoothing layer further improves prediction stability. …”
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Aspects of Studying Self-Adjustment of Mental States of the Employees of Internal Affairs Agencies of Ukraine within Professional Activity by T. L. Bilous

“…The concept and main characteristics of an extreme situation have been characterized; self-regulation regulatory systems have been listed, which at the same time act as levels of self-regulation that ensures the effectiveness of professional activities of police officers in extreme situations. …”
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User Acceptance of a Home Robotic Assistant for Individuals With Physical Disabilities: Explorative Qualitative Study by Linda Sørensen, Dag Tomas Sagen Johannesen, Helinä Melkas, Hege Mari Johnsen

“…AI-powered robots offer new possibilities for creating more adaptable and personalized assistive technologies, potentially enhancing their effectiveness and viability for individuals with disabilities.…”
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Lip forgery detection via spatial-frequency domain combination by Jiaying LIN, Wenbo ZHOU, Weiming ZHANG, Nenghai YU

“…In recent years, numerous “face-swapping” videos have emerged in social networks, one of the representatives is the lip forgery with speakers.While making life more entertaining for the public, it poses a significant crisis for personal privacy and property security in cyberspace.Currently, under non-destructive conditions, most of the lip forgery detection methods achieve good performance.However, the compression operations are widely used in practice especially in social media platforms, face recognition and other scenarios.While saving pixel and time redundancy, the compression operations affect the video quality and destroy the coherent integrity of pixel-to-pixel and frame-to-frame in the spatial domain, and then the degradation of its detection performance and even misjudgment of the real video will be caused.When the information in the spatial domain cannot provide sufficiently effective features, the information in the frequency domain naturally becomes a priority research object because it can resist compression interference.Aiming at this problem, the advantages of frequency information in image structure and gradient feedback were analyzed.Then the lip forgery detection via spatial-frequency domain combination was proposed, which effectively utilized the corresponding characteristics of information in spatial and frequency domains.For lip features in the spatial domain, an adaptive extraction network and a light-weight attention module were designed.For frequency features in the frequency domain, separate extraction and fusion modules for different components were designed.Subsequently, by conducting a weighted fusion of lip features in spatial domain and frequency features in frequency domain, more texture information was preserved.In addition, fine-grained constraints were designed during the training to separate the inter-class distance of real and fake lip features while closing the intra-class distance.Experimental results show that, benefiting from the frequency information, the proposed method can enhance the detection accuracy under compression situation with certain transferability.On the other hand, in the ablation study conducted on the core modules, the results verify the effectiveness of the frequency component for anti-compression and the constraint of the dual loss function in training.…”
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Research on the rapid diagnosis method for hunting of high-speed trains by Wanru Xie, Yixin Zhao, Gang Zhao, Fei Yang, Zilong Wei, Jinzhao Liu

“…Design/methodology/approach – First, Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) is performed to determine the first characteristic component of the car body’s lateral acceleration. …”
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