Mathematical solutions for coupled nonlinear equations based on bioconvection in MHD Casson nanofluid flow by Khalil Ur Rehman, Nosheen Fatima, Wasfi Shatanawi, Nabeela Kousar

“…We established an artificial neural network (ANN) model, incorporating Tan-Sig and Purelin transfer functions, to enhance the accuracy of predicting skin friction coefficient (SFC) values along the surface. …”
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TheraVision: Engineering platform technology for the development of oncolytic viruses based on herpes simplex virus type 1 by Christina Funk, Nadja Uhlig, Zsolt Ruzsics, Florentin Baur, Matthias Peindl, Sarah Nietzer, Karina Epting, Gabriele Vacun, Gudrun Dandekar, Catherine Botteron, Christian Werno, Thomas Grunwald, Susanne M. Bailer

“…Viruses are able to efficiently penetrate cells, multiply, and eventually kill infected cells, release tumor antigens, and activate the immune system. …”
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A Fractional Time–Space Stochastic Advection–Diffusion Equation for Modeling Atmospheric Moisture Transport at Ocean–Atmosphere Interfaces by Behrouz Parsa Moghaddam, Mahmoud A. Zaky, António Mendes Lopes, Alexandra Galhano

“…The framework employs the Caputo fractional derivative to represent temporal persistence and the fractional Laplacian to model non-local turbulent diffusion, and incorporates a stochastic term with a <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>/</mo><mi>f</mi></mrow></semantics></math></inline-formula> power spectral density to simulate environmental variability. An efficient numerical solution methodology is derived utilizing complementary Fourier and Laplace transforms, which elegantly converts spatial fractional operators into algebraic expressions and yields closed-form solutions via Mittag–Leffler functions. …”
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Psychophysiological and Performance Effects of Biofeedback and Neurofeedback Interventions in a Top 100 Female Chess Player by Juan Pedro Fuentes-García, Santos Villafaina

“…(1) Background: Previous studies showed that neurofeedback and biofeedback could improve stress levels, enhance self-control over physiological factors, improve behavioral efficiency, and increase reaction speed to stimuli. …”
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Task-Contingent Persistence is Related to Better Performance-Based Measures in Patients with Chronic Musculoskeletal Pain by Cyrille Burrus, Philippe Vuistiner, Bertrand Léger, Gilles Rivier, Roger Hilfiker, François Luthi

“…Their relationship with functioning of patients with chronic pain is debated. …”
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qDESH: a method to quantify disproportionately enlarged subarachnoid space hydrocephalus by Sofia Behndig, Afroditi Lalou, Jan Axelsson, Jenny Larsson, Anders Wåhlin, Pavel Ryska, Ondrej Slezak, Katrine Riklund, Jan Zizka, Jan Malm, Anders Eklund

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Energy management of microgrid coalitions considering renewable energy prediction based on machine learning algorithms by Negar Dehghani Mahmoudabadi, Mehran Khalaj, Davood Jafari, Ali Taghizadeh Herat, Parisa Mousavi Ahranjani

“…Due to the inherent variability of renewable resources, an extreme learning machine (ELM) model is applied in order to forecast solar irradiation and wind power. …”
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Determinants of oral health-related quality of life in orthodontic aligner wearers: A cross-sectional analysis. by Gabriela Luiza Nunes Souza, José Alcides Almeida de Arruda, Pâmella de Moura Dario, Esdras de Campos França, Marcelo de Araújo Lombardi, Giselle Cabral da Costa, Najara Barbosa Rocha, Lucas Guimarães Abreu

“…Bivariate analyses were conducted to examine associations between independent variables and OHRQoL. Effect sizes (ES) were calculated to indicate the magnitude of associations, categorized as small, moderate, or large. …”
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Evaluation of oral health-related quality of life in burn survivors: A cross-sectional study by Hetal Amipara, Rakesh Kain, Shalabh Kumar

“…Purpose: The face, crucial to identity, is susceptible to the functional and psychological impact of burn injuries. …”
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Effect of Gratitude on Mental Health with Mediating Role of Positive and Negative Affect by Malihe Shakerifard, Ali Mohamadzadeh Ebrahimi, Tayebe Rahimi Pordanjani

“…Findings: There was a significant correlation between all variables of the research (p<0.01). The model had a good fit with some modification. …”
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Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

“…This study tries to estimate two substantial properties of blend, i.e. kinemattic viscosity (KV) and cetane number (CN), through neural network (NN) and empirical models which use pure properties of biodiesel (kinematic viscosity, boiling point, evaporation point, flash point, pour point, heat of combustion, cloud point, and specific gravity) as independent variables. In this regard, a three-layer feed-forward network with varying input parameters, training algorithms, transfer functions, and hidden neurons has been examined to predict the KV and CN of the diesel-biodiesel blend. …”
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On Simplifying Expressions with Mixed Boolean-Arithmetic by Yury V. Kosolapov

“…We experimentally estimate the dependence of the average number of terms in a linear MBA-expression returned by simplification algorithms on $n$, the number of decoding iterations, and the power of the set of Boolean functions, by which a linear combination with a minimum number of nonzero coefficients is sought. …”
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Assessing the validity and reliability of the persian version of Self-concept and Identity Measure in an Iranian population by Saba Tutunchian, Ali Reza Shafiee-Kandjani, Ayyoub Malek, Behzad Shalchi

“…Furthermore, the confirmatory factor analysis results substantiated a significant association between observed variables and latent constructs, indicating that the three-factor structure of the scale exhibits a satisfactory fit within the research samples. …”
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Exercise, Training &amp; Health by Mentz L, Winkert K, Schlegel S, Rohlmann F, Steinacker JM, Treff G

“…The highest differences between individual CVs were found in step 1, ranging from 2.9% to 11.8%.Conclusion: Stroke-to-stroke variability during rowing ergometer testing amounts to 4.7%, which is probably higher than during testing on externally controllable bicycle ergometers, where resistance is controlled as a function of cadence. …”
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Developing a novel hybrid model based on GRU deep neural network and Whale optimization algorithm for precise forecasting of river’s streamflow by Amin Gharehbaghi, Redvan Ghasemlounia, Farshad Ahmadi, Rasoul Mirabbasi, Ali Torabi Haghighi

“…The Pearson’s correlation coefficient (PCC) and Cosine Amplitude Sensitivity (CAS) as feature (input) selection process determine the only precipitation (P m ) as the most effective input variable among a list of on-site potential climate time series parameters recorded in the study area. …”
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Emerging Role of Mesenchymal Stromal Cell and Exosome Therapies in Treating Cognitive Impairment by Vick Key Tew, Muttiah Barathan, Fazlina Nordin, Jia Xian Law, Min Hwei Ng

“…Cognitive aging, characterized by the gradual decline in cognitive functions such as memory, attention, and problem-solving, significantly impacts daily life. …”
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Decellularized adipose-derived matrix from Superficial layers of abdominal adipose tissue exhibits superior capacity of adipogenesis compared to deep layers by Xiaomu Ma, Qiang Yue, Su Fu, Chunjun Liu, Jie Luan

“…These findings not only deepen our comprehension of the structural and functional heterogeneity of adipose tissues but also become one of the reason for the large variability between batches of DAM products, providing guidance for constructing more efficient and stable bio-scaffolds.…”
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Investigating the Relationship Between FMS Test Scores and the Occurrence of Injury in Elite Female Shooter by Abdolrasoul Daneshjoo, Baran Hoseini, Fatemeh Ghasemi

“…After obtaining the consent form and measuring the demographic characteristics of the subjects, a checkerboard method and a New York test questionnaire were used to measure the variables of the study. All subjects performed the seven Functional Movement Screen (FMS) after evaluating the degree of stature abnormalities. …”
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Reducing Building Energy Performance Gap: Integrating Agent-Based Modelling and Building Performance Simulation by Chi-Li Chiang, John Calautit

“…The building energy performance gap (BEPG) remains a significant challenge, undermining the accuracy of energy simulations and complicating efforts to design energy-efficient buildings. This study addresses this issue by developing an adaptive occupant behaviour framework for office buildings, integrating agent-based modelling (ABM) with a building performance simulation (BPS) platform. …”
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Motor Imagery during Action Observation of Locomotor Tasks Improves Rehabilitation Outcome in Older Adults after Total Hip Arthroplasty by Uros Marusic, Sidney Grosprêtre, Armin Paravlic, Simon Kovač, Rado Pišot, Wolfgang Taube

“…These results demonstrate that AO + MI is efficient to improve motor-cognitive performance after hip surgery. …”
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