Steps to Avoid Falls in the Elderly – a TECHnology Enhanced Intervention (SAFE-TECH) study: randomized controlled trial protocol for a community-based, multi-component fall prevent... by Wei Xuan Lai, Vanessa Koh, Jing Wen Goh, Kok Yang Tan, Kai Zhe Tan, Sai G. S. Pai, William R. Taylor, Abhijit Visaria, Navrag B. Singh, Angelique W. M. Chan, David B. Matchar

“…In previous research, exercise interventions have been effective in improving functional outcomes and reducing falls for a broad group of older adults. …”
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Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks by Ahmed Mateen Buttar, Zubair Shaheen, Abdu H. Gumaei, Mogeeb A. A. Mosleh, Mogeeb A. A. Mosleh, Indrajeet Gupta, Samah M. Alzanin, Muhammad Azeem Akbar

“…The model employs Rectified Linear Unit (ReLU) activation functions, the Adam optimizer, and a random search strategy to fine-tune hyper-parameters like learning rate, batch size, and the number of neurons in fully connected layers. …”
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Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces by Yutong JI, Tianyi LIN, Lian LIU, Xiong LI

“…While habitat composition and planting strategies offer substantial localized benefits, their variability necessitates tailored interventions informed by specific ecological and social contexts. …”
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Contextual Vulnerability Should Guide Fair Subject Selection in Xenotransplantation Clinical Trials by Gianna Strand

“…[xv] The center they present to and the variable evaluative criteria the center uses may discount an individual’s claim to a fair opportunity to access a scarce resource. …”
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Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

“…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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Sensitivity Analysis of Soil Hydraulic Parameters for Improved Flow Predictions in an Atlantic Forest Watershed Using the MOHID-Land Platform by Dhiego da Silva Sales, Jader Lugon Junior, David de Andrade Costa, Renata Silva Barreto Sales, Ramiro Joaquim Neves, Antonio José da Silva Neto

“…The hydraulic soil parameters of VGM are dependent on soil type and are typically estimated from experimental data; however, they are often obtained using pedotransfer functions, which carry significant uncertainty. As a result, calibration is frequently required to account for both the natural spatial variability of soil and uncertainties estimation. …”
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Dynamic Surrogate Optimization of Vertically Stacked Nanosheet FET Based on Gaussian Process Regression by Christofer N. Yalung, Doldet Tantraviwat

“…Source extension (<inline-formula> <tex-math notation="LaTeX">$S_{ext}$ </tex-math></inline-formula>), drain extension (<inline-formula> <tex-math notation="LaTeX">$D_{ex\mathrm {t}}$ </tex-math></inline-formula>), gate length (<inline-formula> <tex-math notation="LaTeX">$L_{g}$ </tex-math></inline-formula>), nanosheet height (NSh), nanosheet width (NSw), and number of fin (nfin) make up the input variables. In addition to applying normalization to make the weight assignment to the goal functions easier, a penalty component was incorporated to manage the <inline-formula> <tex-math notation="LaTeX">$V_{T}$ </tex-math></inline-formula>. …”
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Sustainable forest management: success and challenges in Ethiopia by Rusha Begna Wakweya

“…The outcomes of local-level forest governance depend on the quality, efficiency, and effectiveness of local policymaking and decision-making processes, as well as how power and authority are exercised locally. …”
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A reduced simulation applied to viscoelastic fatigue of polymers using a time multi-scale approach based on partition of Unity method by Sebastian Rodriguez, Angelo Pasquale, Jad Mounayer, Diego Canales, Marianne Beringhier, Chady Ghnatios, Amine Ammar, Francisco Chinesta

“…In this context, the use of a space-time PGD approximation is proposed here to boost their resolution, where the temporal functions are constructed following a multi-scale strategy along with the partition of unity method, in order to catch each dynamic efficiently. …”
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Identification and leveling of factors affecting the acceptance of excellence model in Islamic Azad University by Seyedeh Somayeh Mousavi Siah Deleh, Samad Jabbari Asl, Musa Rezvani Chaman Zamin

“…The concept of institutional excellence in higher education institutions as mentioned by Kok & McDonald (2017) refers to behavior that leads to excellence in all research, teaching and social service functions through excellence in strategy and shared values, leadership, Organizational culture. …”
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Learning compositional sequences with multiple time scales through a hierarchical network of spiking neurons. by Amadeus Maes, Mauricio Barahona, Claudia Clopath

“…Sequential behaviour is often compositional and organised across multiple time scales: a set of individual elements developing on short time scales (motifs) are combined to form longer functional sequences (syntax). Such organisation leads to a natural hierarchy that can be used advantageously for learning, since the motifs and the syntax can be acquired independently. …”
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Copula Modeling and Uncertainty Propagation in Field‐Scale Simulation of CO2 Fault Leakage by Per Pettersson, Eirik Keilegavlen, Tor Harald Sandve, Sarah E. Gasda, Sebastian Krumscheid

“…The uncertainty in upscaled flow functions and other uncertain parameters are efficiently propagated to leakage estimates using numerical reservoir simulation of a two‐phase system of CO2 and brine. …”
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Neurocognitive factors of new drone Pilots: Identifying candidates with expert potential by Miguel A. Ramallo-Luna, Sara Gonzalez-Torre, Álvaro Rodríguez-Mora, Gabriel G. de la Torre

“…Identifying the neurocognitive variables that influence the performance of these pilots can optimize selection and training processes. …”
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Effects of Exercise on Physical Fitness in Older Adults with and Without Severe Cognitive Impairment by Oliver Ramos-Álvarez, Elkin Eduardo Roldán-Aguilar, Mariano Altamiranda-Saavedra, Juan Carlos Marín, Víctor Arufe-Giráldez

“…Physical fitness is defined as the ability to perform daily activities efficiently and without excessive fatigue, involving anthropometric variables and physical capacities. …”
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DC algorithm for estimation of sparse Gaussian graphical models. by Tomokaze Shiratori, Yuichi Takano

“…Specifically, we convert the cardinality constraint into an equivalent constraint based on the largest-K norm, and reformulate the resultant constrained optimization problem into an unconstrained penalty form with a DC (difference of convex functions) representation. To solve this problem efficiently, we design a DC algorithm in which the graphical lasso algorithm is repeatedly executed to solve convex optimization subproblems. …”
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Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method by Lihong Rong, Yuexin Pan, Zhimin Tong

“…To alleviate network congestion and optimize communication resources, the Round-Robin protocol is adopted to schedule data transmission efficiently. By constructing a Lyapunov–Krasovskii functional and applying the discrete Wirtinger inequality, sufficient conditions are derived to ensure the mean square exponential stability and dissipative performance of the system. …”
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Agricultural Waste–Derived Biochar for Antibiotics Removal in Aqueous Environment: A Comprehensive Outlook by Varalakshmi Varatharajan, Karthik V., Selvakumar Periyasamy

“…The key elements influencing antibiotic adsorption on biochar, including surface chemistry, pyrolysis conditions, and environmental variables, were discussed in detail. This review focuses specifically on the functional modification of the biochar, the mechanism involved in antibiotic adsorption, and the scalability of this process. …”
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Complementing Dynamical Downscaling With Super‐Resolution Convolutional Neural Networks by Deeksha Rastogi, Haoran Niu, Linsey Passarella, Salil Mahajan, Shih‐Chieh Kao, Pouya Vahmani, Andrew D. Jones

“…Modifications, such as incorporating elevation data and data pre‐processing enhances overall model performance, while using exponential and quantile loss functions improve the simulation of extremes. Our findings show SRCNN models efficiently and skillfully downscale precipitation from GCMs. …”
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Orientation reversal and the Chern-Simons natural boundary by Griffen Adams, Ovidiu Costin, Gerald V. Dunne, Sergei Gukov, Oğuz Öner

“…Resurgence analysis identifies as primary objects Mordell integrals: up to changes of variables, they are Laplace transforms of resurgent functions. …”
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Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

“…Urban green infrastructure significantly contributes to the carbon storage functions of urban ecosystems. Accurate selection and efficiently integrating remote sensing data are paramount for evaluating carbon storage at the small-scale of urban green infrastructure. …”
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