Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive D... by Duc Nam Nguyen, Thanh-Phong Dao, Ngoc Le Chau, Van Anh Dang

“…The optimization problem considers three design variables and two objective functions. An efficient hybrid optimization approach of central composite design (CDD), finite element method (FEM), Kigring metamodel, and multiobjective genetic algorithm (MOGA) is developed. …”
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The IoT Technologies Acceptance in Education by the Students From the Economic Studies in Romania by Liliana Ionescu-Feleaga, Bogdan-Ștefan Ionescu, Mariana Bunea

“…The study included 1,179 students from four university centers from Romania and the included factors from the acceptance of IoT technologies model (Internet of Things) were analyzed using the quantitative statistical methods in SPSS, applying a series of tests processed to highlight the research results, respectively the reliability test, the validity test, the chi-square test and the Person's correlation coefficient. The results of the study show the existence of a positive correlation between the research variables and indicate that the students from the economic studies, are ready to accept the new technological advances in IoT and to implement them in their future jobs…”
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A Protocol for Advanced Psychometric Assessment of Surveys by Janet E. Squires, Leslie Hayduk, Alison M. Hutchinson, Lisa A. Cranley, Mark Gierl, Greta G. Cummings, Peter G. Norton, Carole A. Estabrooks

“…Reliability is assessed with internal consistency coefficients and information functions. A unitary approach to validity consisting of accumulating evidence based on instrument content, response processes, internal structure, and relations to other variables is taken. …”
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Optimization of the flow guiding fins configuration and tube arrangements in a shell and tube heat exchanger: coupling response surface methodology and CFD by Xiangmin Shao, Ali Marzban, Farzad Pourfattah, Omid Ali Akbari, Gholamreza Ahmadi, Nafiseh Emami, Soheil Salahshour

“…In both laminar and turbulent flow regimes, the objective functions include the maximum heat transfer and the minimum pressure drop. …”
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Cardiometabolic risk factors in predicting obstructive coronary artery disease in patients with non-ST-segment elevation acute coronary syndrome by B. I. Geltser, M. M. Tsivanyuk, K. I. Shakhgeldyan, E. D. Emtseva, A. A. Vishnevskiy

“…The predictors of this model were 7 categorical (total cholesterol (CS) ≥5,9 mmol/L, low-density lipoprotein cholesterol >3,5 mmol/L, waist-to-hip ratio ≥0,9, waist-to-height ratio ≥0,69, atherogenic index ≥3,4, lipid accumulation product index ≥38,5 cm*mmol/L, uric acid ≥356 pmol/L) and 2 continuous (high density lipoprotein cholesterol and insulin resistance index) variables.Conclusion. The developed algorithm for selecting predictors made it possible to determine their significant predictive threshold values and weighting coefficients characterizing the degree of influence on endpoints. …”
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Family Resilience and Its Influencing Factors Among Patients With Lung Cancer Based on Double ABC‐X Theoretical Framework by Ziyi Shen, Yan Fang, Chengcheng Li, Xin Luo, Junling Cui, Yanchang Liu, Jingfang Hong

“…Relationships between variables and pathways were also explored based on the Double ABC‐X as the theoretical framework. …”
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Development of a Data‐Driven Lightning Scheme for Implementation in Global Climate Models by Vincent Verjans, Christian L. E. Franzke

“…Abstract This study proposes a new lightning scheme applicable at the global scale, predicting lightning rates from climatic variables. Using satellite lightning records spanning a period of 29 years, we apply machine learning methods to derive a functional relationship between lightning and climate reanalysis data. …”
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Genetic characterisation of Germanata Veneta and Mignon local duck breeds (Anas platyrhynchos) using whole-genome sequencing by Francesco Perini, Enrico Bortoletto, Filippo Cendron, Umberto Rosani, Emiliano Lasagna, Maristella Baruchello, Martino Cassandro, Mauro Penasa

“…Both breeds showed low genetic variability and high inbreeding (GER: FHOM = 0.305 ± 0.184; MIG: FHOM = 0.369 ± 0.163). …”
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Absorbing Aerosol Effects on Hyperspectral Surface and Underwater UV Irradiances from OMI Measurements and Radiative Transfer Computations by Alexander Vasilkov, Nickolay Krotkov, Matthew Bandel, Hiren Jethva, David Haffner, Zachary Fasnacht, Omar Torres, Changwoo Ahn, Joanna Joiner

“…The output underwater products include the hyperspectral diffuse attenuation coefficients of the planar and scalar irradiances. Effects of the seasonal variability of AAOD on the UV index and the deoxyribonucleic acid (DNA) damage dose rates are considered. …”
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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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Influences of Gait Training with Knee–Ankle–Foot Orthosis on Gait Ability and Independence in Severe Hemiplegia and Pusher Behavior with Unilateral Spatial Neglect Following Stroke... by Kota Sawa, Miko Tamura, Saori Arai

“…Onset days and SPV variability errors influenced severe hemiplegia cases, whereas SPV‐EO variability errors impacted USN cases, with moderate regression coefficients (p < 0.05). …”
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Fate-tox: fragment attention transformer for E(3)-equivariant multi-organ toxicity prediction by Sumin Ha, Dongmin Bang, Sun Kim

“…To address these challenges with multiple strategies, we developed FATE-Tox, a novel multi-view deep learning framework for multi-organ toxicity prediction. For variability of substructures, we used three fragmentation methods such as BRICS, Bemis-Murcko scaffolds, and RDKit Functional Groups to formulate fragment-level graphs so that diverse substructures can be used to identify toxicity for different organs. …”
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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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Pavement Deterioration Modeling of the International Roughness Index Based on Fuzzy Logic Approach by Abdualmtalab Ali, Abdalrhman Milad, Hussein ALMufargi, Nur Izzi Md Yusoff

“…Various types of pavement distress, such as fatigue cracking, rutting, longitudinal cracking, block cracking, transverse cracking, patching, ravelling, and potholes, are input variables; these parameters are fuzzified into fuzzy subsets with triangular membership functions. …”
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Development of Speech Therapy Application for Children with Stuttering (STACS) by Janith Raj Jayaraju, Amudhu Sankar

“…Conclusion: Most parents found this prototype app easy to use, efficient in training their children, and highly functional. …”
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Research on the Planning and Design of Med–Small-Sized Hospitals in China Based on Patient Perceived Value in the Context of Healthcare Model Transformation by Yunhui Zhu, Ying Zhou

“…There are 24 observed variables in six dimensions, including cost value, functional value, social value, cognitive value, patient satisfaction, and patient loyalty. …”
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Feasibility, reliability and validity of smartphone administered cognitive ecological momentary assessments in breast cancer survivors by Ashley M. Henneghan, Ashley M. Henneghan, Emily W. Paolillo, Kathleen M. Van Dyk, Kathleen M. Van Dyk, Oscar Y. Franco-Rocha, Mansi Patel, So Hyeon Bang, Raeanne C. Moore

“…Test–retest reliability was examined using intraclass correlation coefficients for each cognitive EMA (tests and self-report questions), and Pearson's correlation was used to evaluate convergent validity between cognitive EMAs and baseline clinical cognitive variables.Results105 breast cancer survivors completed the EMA protocol with high adherence (87.3%) and high satisfaction (mean 87%). …”
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Expression variation and covariation impair analog and enable binary signaling control by Kyle M Kovary, Brooks Taylor, Michael L Zhao, Mary N Teruel

“…Such high variation is beneficial for population‐level regulation of cell functions but abolishes accurate single‐cell signal transmission. …”
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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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Failure Probability Analysis of Composite Pressure Tanks Using Subset Simulation by Youcef Sid Amer, Samir Benammar, Kong Fah Tee, Zouhir Iourzikene

“…The model was developed in two steps, first, the development of limit state functions for hoop and helical layers using netting analysis, and afterwards, a probabilistic computation with six random variables. …”
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