The exacerbating effects of stable pulmonary tuberculosis on the deterioration of inflammatory response, coagulation function, and pulmonary function in COPD: A propensity score-ma... by Jiangbo Li, Mei Ye, Haiyue Wang, Aidibai Ainiwaier, Ayididar Jumahan, Feng Sun

“…Chronic obstructive pulmonary disease (COPD) and tuberculosis pose significant public health challenges, particularly in tuberculosis-endemic developing regions where their co-prevalence may exacerbate the disease burden of chronic airflow obstruction. …”
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Comprehensive analysis of immunoglobulin expression in the mouse brain from embryonic to adult stages by Keiko Morimoto, Hitomi Sano, Michiko Takahashi, Rikuo Takahashi, Kazunori Nakajima

“…In addition, Ighm is expressed in the layer 6 corticothalamic neurons, some of which co-express Ighg2c in the adult brain. In particular, we were able to generate a comprehensive profile of Ig variable region expression from embryonic to adult stages. …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

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Predicting renal function using fundus photography: role of confounders by Hyun-Woong Park, Hae Ri Kim, Ki Yup Nam, Bum Jun Kim, Taeseen Kang

“…Data including sex, age, and blood creatinine levels were collected for eGFR calculation using the MDRD and CKD-EPI formulas. EfficientNet B3 models were used to predict each parameter. …”
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Physical function evaluation in volleyball training based on intelligent GRNN by Kaiyuan Dong, Borhannudin bin Abdullah, Hazizi bin Abu Saad, Chenxi Lu

“…Abstract This study aims to improve both the evaluation accuracy and the real-time feedback capability in monitoring athletes’ physical function changes during volleyball training. Firstly, based on the framework of the generalized regression neural network, a variable-structure generalized regression neural network (VSGRNN) is proposed and developed. …”
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Uncovering a conserved vulnerability site in SARS‐CoV‐2 by a human antibody by Tingting Li, Hongmin Cai, Yapei Zhao, Yanfang Li, Yanling Lai, Hebang Yao, Liu Daisy Liu, Zhou Sun, Martje Fentener van Vlissingen, Thijs Kuiken, Corine H GeurtsvanKessel, Ning Zhang, Bingjie Zhou, Lu Lu, Yuhuan Gong, Wenming Qin, Moumita Mondal, Bowen Duan, Shiqi Xu, Audrey S Richard, Hervé Raoul, JianFeng Chen, Chenqi Xu, Ligang Wu, Haisheng Zhou, Zhong Huang, Xuechao Zhang, Jun Li, Yanyan Wang, Yuhai Bi, Barry Rockx, Junfang Chen, Fei‐Long Meng, Dimitri Lavillette, Dianfan Li

“…The epitope coincides with a predicted “ideal” vulnerability site with high functional and structural constraints. Mutation of the residues of the conserved epitope variably affects FD20‐binding but confers little or no resistance to neutralization. …”
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Does topography of rocky intertidal habitat affect aggregation of cerithiid gastropods and co-occurring macroinvertebrates? by Soniya Jethva, Kiran Liversage, Rahul Kundu

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Viscosity modelling of chlorinated brines in three-component systems with a continuously variable temperature range between 293-323 K by Andrés Soto-Bubert, Rashmi Bhardwaj, Satheeshkumar Rajendran, Roberto Acevedo

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Differential impact of TIM-3 ligands on NK cell function by Xin Zhang, Lazar Vujanovic, Riyue Bao, Robert L Ferris, Tullia C Bruno, Aditi Kulkarni, Hridesh Banerjee, Housaiyin Li, Juncheng Wang, Lawrence P Kane, Pragati Upadhyay, Jennifer L Anderson, Onyedikachi Victor Onyekachi, Lidia M R B Arantes

“…An effective TIM-3-targeting therapy should account for multiple biological factors, including the disease setting, the specific cell types involved and their varying sensitivities to the four putative TIM-3 ligands (galectin-9, phosphatidylserine, high mobility group protein B1 and carcinoembryonic antigen cell adhesion molecule 1), each of which engages a unique binding site on the receptor’s variable immunoglobulin domain. The primary objectives of this study were to assess the prevalence and function of TIM-3+ natural killer (NK) cells in patients with head and neck squamous cell carcinoma (HNSCC), determine whether the four TIM-3 ligands differentially affect TIM-3+ NK cell functions, identify the most immunosuppressive ligand, and evaluate whether targeting ligand-mediated TIM-3 signaling enhances NK cell effector functions.Methods Single-cell RNA sequencing and flow cytometry were used to study the prevalence, phenotypes and function of TIM-3+ NK cells in HNSCC patient tumors and blood. …”
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Method of restoring multivariable Boolean function from its derivative by Alexander V. Mazurenko, Nadezhda S. Mogilevskaya

“…Introduction. Boolean functions of several variables are of paramount importance in the coding theory and cryptography. …”
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Further Refinements of Jensen’s Type Inequalities for the Function Defined on the Rectangle by M. Adil Khan, G. Ali Khan, T. Ali, T. Batbold, A. Kiliçman

“…We give refinement of Jensen’s type inequalities given by Bakula and Pečarić (2006) for the co-ordinate convex function. Also we establish improvement of Jensen’s inequality for the convex function of two variables.…”
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Unraveling natural carbonate variability in Narragansett Bay, RI using multiple high temporal resolution pH time series by Abigail Baskind, Georgia Ahumada, Kristofer Gomes, Heather Stoffel, Shuai Gu, Andrew J Davies, Andrew J Davies, Hongjie Wang

“…The increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean’s function as a carbon sink. …”
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Bringing Executive Function Testing Online: Assessment Validation Study by Mouna Attarha, Ana Carolina de Figueiredo Pelegrino, Lydia Ouellet, Sarah-Jane Grant, Etienne de Villers-Sidani, Thomas Van Vleet

“…Performance on Freeze Frame was analyzed in relation to self-reported demographic variables and neuropsychological function, using a standardized measure of executive function, the National Institutes of Health Executive Abilities: Measures and Instruments for Neurobehavioral Evaluation and Research (NIH EXAMINER). …”
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Synthesis of combinational circuits by means of bi-decomposition of Boolean functions by Yu. V. Pottosin

“…The functions obtained in such a way constitute the required decomposition.Co n c l u s i o n .  …”
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Auxiliary identification of depression patients using interpretable machine learning models based on heart rate variability: a retrospective study by Min Yang, Huiqin Zhang, Minglan Yu, Yunxuan Xu, Bo Xiang, Xiaopeng Yao

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Reservoir water level prediction using combined CEEMDAN-FE and RUN-SVM-RBFNN machine learning algorithms by Lan-ting Zhou, Guan-lin Long, Can-can Hu, Kai Zhang

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Exploring Flexible Penalization of Bayesian Survival Analysis Using Beta Process Prior for Baseline Hazard by Kazeem A. Dauda, Ebenezer J. Adeniyi, Rasheed K. Lamidi, Olalekan T. Wahab

“…Therefore, this study is motivated to adopt the idea of a penalized semi-parametric Bayesian Cox (PSBC) model through elastic-net and group lasso penalty functions (PSBC-EN and PSBC-GL) to incorporate the grouping structure of the covariates (genes) and optimally perform variable selection. …”
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Handling Multiple-Fuel Options in Economic Dispatch of Thermal Power Plants Through a Tight Model Applying Indicator Variables by Hossein Sharifzadeh

“…Thermal power plants play a central role in present power systems because of their high efficiency, fast startup capability, and flexibility to integrate the variability of renewable generations. …”
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Spacecraft Intelligent Fault Diagnosis under Variable Working Conditions via Wasserstein Distance-Based Deep Adversarial Transfer Learning by Gang Xiang, Kun Tian

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Variational Autoencoder Transfer Functions for Onshore Tsunami Hazard Curves by Willington Renteria, Patrick Lynett, Maile McCann, Behzad Ebrahimi, Hong Kie Thio, Ian Robertson, Chris Siverd, Betsy Hicks

“…Once encoded, the data are represented by a normal distribution of latent variables. The VAE then uses a trained decoder to sample the distribution created by the latent variables and reconstruct a continuous hazard function at the onshore location. …”
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