A joint learning approach for automated diagnosis of keratinocyte carcinoma using optical attenuation coefficients by Lei Zhang, Xiaoran Li, Wen Chen, Yuanjie Gu, Hao Wu, Zhong Lu, Biqin Dong

“…By incorporating probability distribution function (PDF) information alongside OAC images, the model achieved an accuracy of over 80% and approaching 100% by utilizing 3D OAC data to enhance robustness. …”
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Experimental Study: Stress Path Coefficient in Unconsolidated Sands: Effects of Re-Pressurization and Depletion Hysteresis by Sabyasachi Prakash, Michael Myers, George Wong, Lori Hathon, Duane Mikulencak

“…It investigates the variability of horizontal stress path coefficient as a function of changing pore pressure (depressurization and re-pressurization) in unconsolidated sandstone reservoirs. …”
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Research Progress of Intelligent Evaluation and Virtual Reality Based Training in Upper Limb Rehabilitation afrer Stroke by XIE Qiurong, LIN Wanqi, ZHANG Qi, SHENG Bo, ZHANG Yanxin, HUANG Jia

“…Automated assessment of upper extremity motor function based on machine learning algorithms with markerless sensing techniques has focused on the Fugl-Meyer assessment of upper extremity (FMA-UE), Brunnstrom stages, and Wolf motor function test (WMFT) scales and has been proved with high-scoring accuracy and time efficiency. …”
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Achieving operational synergy between different adaptive façade technologies by H. Alkhatib, N. O’Neill, B. Norton, P. Lemarchand, D.T.J. O’Sullivan

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Sleep among Brazilian adolescents before and after the COVID-19 pandemic: repeated cross-sectional and longitudinal analyses by Gabriel Pereira Maciel, Ricardo de Camargo, Marcus Vinicius Veber Lopes, Bruno Nunes de Oliveira, Bruno Galdino Gonçalves da Costa, Jean-Philippe Chaput, Kelly Samara Silva

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Eficiência técnica na suinocultura: efeitos dos gastos com meio ambiente e da renúncia fiscal Technical efficiency in swine breeding: effect of the expenses with the environment an... by Benedito D. Pereira, João C. de S. Maia, Rosalina Camilot

“…After estimating the technical efficiency indices with data of ten properties situated in Mato Grosso from production functions, whose dependent variable is represented by the production of swine and the independent ones are the consumption of water, electricity and the amount of workers directly tied with the productive process. …”
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MULTI-OBJECTIVE OPTIMIZATION DESIGN FOR CUTTING MECHANISM OF ROADHEADER BASED ON IMPROVED GENETIC ALGORITHM by MAO Jun, PAN DeWen, XIE Miao, ZHENG GuangHui

“…The comprehensive performance of cutting mechanism of roadheader is decided by cutting dust,quantity of pick consumption,specific density consumption,load fluctuation and production efficiency. This paper takes motion parameters and structure parameters of cutting mechanism for design variables and optimizes multi-objective function of comprehensive performance of cutting mechanism based on the improved genetic algorithm. …”
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Nonsense-mediated mRNA decay and loss-of-function of the protein underlie the X-linked epilepsy associated with the W356× mutation in synapsin I. by Maila Giannandrea, Fabrizia C Guarnieri, Niels H Gehring, Elena Monzani, Fabio Benfenati, Andreas E Kulozik, Flavia Valtorta

“…Given that the NMD efficiency is highly variable among individuals and cell types, we investigated also the effects of expression of the mutant protein and found that it is expressed at lower levels compared to wild-type synapsin I, forms perinuclear aggregates and is unable to reach presynaptic terminals in mature hippocampal neurons grown in culture. …”
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Direct methanol fuel cells parameter identification with enhanced algorithmic technique by Manish Kumar Singla, Muhammed Ali S.A, Ramesh Kumar, Hamed Zeinoddini-Meymand, Farhad Shahnia

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Influence of heavy oil components and optimal magnetic nanocatalysts on the heavy oil upgrading by microwave-assisted by Parya Torkaman, Ramin Karimzadeh, Arezou Jafari

“…The research aimed to determine the influence of process variables, such as the type and quantity of nanocatalyst, and the duration of irradiation. …”
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Statistical learning-driven parameter tuning in injection molding using modified simplex method by Pongchanun Luangpaiboon, Walailak Atthirawong, Anucha Hirunwat, Pasura Aungkulanon

“…The Taguchi design of experiments and desirability function analysis were employed to establish a baseline. …”
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Transient decline and early recovery of noninvasive myocardial work after kidney transplantation: a prospective study by Yulin Huang, Lin Jin, Xinyan Qiu, Canying Yang, Luyi Ping, Zhengyao Jiang, Hua Zou, Zhihong Zhang, Jiwei Wang

“…NIMW parameters include global myocardial work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE).Results 1) Renal function indicators, including blood urea nitrogen, serum creatinine, and estimated glomerular filtration rate improved significantly at 10 days post-KT. …”
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Carotid Intima-Media Thickness and Visit-to-Visit HbA1c Variability Predict Progression of Chronic Kidney Disease in Type 2 Diabetic Patients with Preserved Kidney Function by Akiko Takenouchi, Ayaka Tsuboi, Miki Kurata, Keisuke Fukuo, Tsutomu Kazumi

“…Subclinical atherosclerosis and long-term glycemic variability predict deterioration of chronic kidney disease (as defined by incident or worsening CKD) in type 2 diabetic patients with preserved kidney function.…”
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A fuzzy-optimized multi-level random forest (FOMRF) model for the classification of the impact of technostress by Gabriel James, Ifeoma, David, John, Samuel, Enefiok, Imeh Umoren, Ubong Etuk, Aloysius, Anietie, Saviour, Chikodili

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Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences by Madhur Mangalam, Taylor J. Wilson, Joel H. Sommerfeld, Aaron D. Likens

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Features of minimizing total electrical losses in high-voltage electromechanical systems for stationary industrial fan installations by A.V. Synetskyi, I.M. Kotsur

“…The target function, initially dependent on three variables, has been transformed into a function of a single variable. …”
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Evaluation of remote sensing soil moisture data products with a new approach to analyse footprint mismatch with in-situ measurements by Qiuxia Xie, Li Jia, Massimo Menenti, Qiting Chen, Jingxue Bi, Yonghui Chen, Chunmei Wang, Xinju Yu

“…SMAP L3.0, ASCAT V3.0, ESA/CCI V7.1 and GLDAS V2.2) are vital for applications in hydrology, climate variability, and agriculture. This study uses a new SSM evaluation approach by combining temporal evolution, Coefficient of Variation (CV), Cumulative Distribution Function (CDF), evaluation metrics, and Triple Collocation Analysis (TCA) to assess SSM accuracy and spatial–temporal variability, particularly the impact of footprint mismatch when comparing retrieved SSM with in-situ measurements. …”
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Resolving structural variability in network models and the brain. by Florian Klimm, Danielle S Bassett, Jean M Carlson, Peter J Mucha

“…Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little is known in general about mechanistic drivers of structured networks. …”
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Pectin extraction from cocoa husk of different genotypes and stages of ripeness by Enrique Arévalo-Gardini, Cesar Oswaldo Arévalo-Hernández, Virupax Baligar, Dapeng Zhang

“…Results showed that genotype and ripeness significantly affect extraction efficiency and pectin functionality. The highest pectin yield was 77.7% for IMC-67 (ripe) and 72.6% for CCN51 (semi-ripe) at optimal conditions (pH 1.5–1.6, 80 °C, 75 minutes). …”
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Optimal ANOVA-Based Emulators of Models With(out) Derivatives by Matieyendou Lamboni

“…Our emulators are also competitive in dealing with different distributions of the input variables and selecting inputs and interactions. Simulations show the efficiency of our approach.…”
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