Age-structured malaria model with temperature-dependent dynamics and optimal control analysis within a partial differential equation framework. by Lukas Degu Petros, Temesgen Erena Abdisa, Dinka Tilahun Etefa, Dawit Kechine Menbiko, Ademe Kebede Gizaw, Eba Alemayehu Simma, Delenasaw Yewhalaw, Chernet Tuge Deressa

“…This study presents a temperature-dependent, two-class age-structured malaria model using partial differential equations and optimal control strategies to assess their impact on malaria transmission. …”
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Low-cost video-based air quality estimation system using structured deep learning with selective state space modeling by Maqsood Ahmed, Xiang Zhang, Yonglin Shen, Tanveer Ahmed, Shahid Ali, Ayaz Ali, Aminjon Gulakhmadov, Won-Ho Nam, Nengcheng Chen

“…This study proposes Air Quality Prediction-Mamba (AQP-Mamba), a video-based deep learning model that integrates a structured Selective State Space Model (SSM) with a selective scan mechanism and a hybrid predictor (HP) to estimate air quality. …”
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The role of meaningful work and workplace attachment styles in predicting entrepreneurial well-being: insights from a structured sales network by Vladimír Koša, Elena Lisá

“…IntroductionThe study explores how meaningful work (MW) and workplace attachment styles, secure (SE), anxious (AX), and avoidant (AV), predict entrepreneurial well-being within a structured sales network of a financial services firm. …”
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Enhancing access to specialist appointments in tertiary healthcare in Shanghai, China: a structured reservation pathway using digital health technologies by Li Li, Tao Zheng, Enhong Dong, Minjie Chen, Xiaojing Zhao, Binyuan Zhang, Xuji Zhao, Weijun Shao, Yiling Fan

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Gender differences in early childhood development in rural China: a sibling structure perspective by Hongyu Guan, Xiangzhe Chen, Lidong Zhang, Yunyun Zhang, Yuxiu Ding, Ai Yue

“…Abstract Background This study examines gender differences in early childhood cognitive development in rural China, focusing on the role of sibling structure. While gender disparities have narrowed in recent decades, concerns remain regarding unequal household resource allocation in low- and middle-income countries, particularly in contexts shaped by traditional son preference. …”
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Numerical Study of Air Cushion Effect in Notched Disk Water Entry Process Using Structured Arbitrary Lagrangian–Eulerian Method by Zhe Zhang, Nana Yang, Jinlong Ju, Xingzhi Bai, Houcun Zhou, Wenhua Wu

“…The reliability and accuracy of the computational method are validated through grid independence verification and comparisons with experimental data and empirical formulas. Systematic analysis of the effects of notch size, water entry velocity, and entry angle on the evolution of the free surface, impact loads, and structural responses uncovers several novel findings. …”
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GPU‐Accelerated Urban Flood Modeling Using a Nonuniform Structured Grid and a Super Grid Scale River Channel by Youtong Rong, Paul Bates, Jeffrey Neal

“…Abstract New remote sensing technologies, and the meter‐scale geospatial data they create, now allow for detailed urban landscape characterization, thereby advancing grid‐based hydrodynamic models. …”
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Navigating family dynamics and ethical considerations in genetic diagnosis of pulmonary arterial hypertension: insights from in-depth semi-structured interviews by Emilia M. Swietlik, Michaela Fay, Nicholas W. Morrell

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Impact of Implementing Structured Compensatory Methods on Knowledge and Awareness of Cognitive Dysfunction Management Among Neurological Disorder Patients in Vijayapur Hospitals by Nelson Vijaykumar, Aleyamma Varghese

“…It can result from neurotoxicity ischemia or neurodegenerative diseases like Alzheimerrsquos and Parkinsonrsquos.Objectives The study aimed to assess knowledge about cognitive impairment evaluate the effectiveness of structured compensatory techniques and analyze the relationship between knowledge scores and sociodemographic variables.Methodology The study assessed the effectiveness of structured compensatory techniques in improving knowledge about cognitive impairment among neurological patients in Vijayapura hospitals. …”
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Interpretable machine learning excavates a low-alloyed magnesium alloy with strength-ductility synergy based on data augmentation and reconstruction by Qinghang Wang, Xu Qin, Shouxin Xia, Li Wang, Weiqi Wang, Weiying Huang, Yan Song, Weineng Tang, Daolun Chen

“…The data augmentation technique expands the original dataset through Gaussian noise. …”
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Acoustic Data on Vowel Nasalization Across Prosodic Conditions in L1 Korean and L2 English by Native Korean Speakers by Jiyoung Jang, Sahyang Kim, Taehong Cho

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Towards implementing new payment models for the reimbursement of high-cost, curative therapies in Europe: insights from semi-structured interviews by Thomas Desmet, Thomas Desmet, Sissel Michelsen, Sissel Michelsen, Elena Van den Brande, Walter Van Dyck, Steven Simoens, Isabelle Huys

“…Statements were allocated into six main topics: payment structure, spread payments, outcome-based agreements, governance, transparency, and regulation.ResultsInterviews revealed the necessary conditions that, fulfilled together, are seen to be sufficient for the successful implementation of OBSP, including consensus on pricing, payment logistics, robust data infrastructure and financing, clear agreement terms (duration, outcome parameters, payment triggers), long-term patient follow-up solutions, an external multi-stakeholder governance body, and transparency regarding agreement types.ConclusionDespite the interest, the effective implementation of OBSP falls behind due to a lack of consensus on how this new reimbursement method can be a sustainable solution. …”
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Effect of a structured Orem’s self-care model nursing intervention on sleep quality and academic self-efficacy in nursing students by Mir Amirhossein Seyednazari, Kourosh Amini, Farhad Ramezani-Badr, Abdolah Khorami Markani

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Automated Modal Analysis Using Stochastic Subspace Identification and Field Monitoring Data by Shieh-Kung Huang, Zong-Zhi Lai, Hoong-Pin Lee, Yen-Yu Yang

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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

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Anatomy, histology, and electron microscopy of the cardiac conduction system. Current views and new data: review by L. B. Mitrofanova

“…The review provides a current view of the anatomy, histology, immunohistochemistry, electron microscopy, and electron immunocytochemistry of the cardiac conduction system (CCS) based on literature data and the author's own research over more than 30 years. …”
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Adaptive Scattering Feature Awareness and Fusion for Limited Training Data SAR Target Recognition by Chenxi Zhao, Daochang Wang, Xianghui Zhang, Yuli Sun, Siqian Zhang, Gangyao Kuang

“…Specifically, the scattering structure intelligent awareness module is designed to automatically distinguish and screen the critical scattering information from the SAR image. …”
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Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

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Remote Inspection of Bridges with the Integration of Scanning Total Station and Unmanned Aerial Vehicle Data by Piotr Olaszek, Edgar Maciejewski, Anna Rakoczy, Rafael Cabral, Ricardo Santos, Diogo Ribeiro

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Research on Reliability Testing Technology of Rail Transit Software by Ying YANG, Zhifei ZHOU, Buqi LIU, Weiqi JIAO

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