DIGITAL ECONOMY AND RECRUITMENT POTENTIAL: STRATEGICAL INTERCONNECTION AND PROSPECTS by G. Yu. Peshkova, А. Yu. Samarina

“…The originality of digital economy is in its optimising effect on production and consumption possible because of operativeness and consolidation of information and computing systems. There has appeared an opportunity to manage socio-economic processes systematically. …”
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Urinary phthalate metabolites associated with increased prevalence of gallstone disease in U.S. adults: data from the NHANES study by Feng Jia, Yu Chang, Yuguang Li, Fangqi Li, Xinqiao Chen, Xiangliang Liu, Wei Li, Jiuwei Cui

“…Weighted quantile sum (WQS) regression, Quantile g-computation (Qgcomp) analysis and Bayesian kernel machine regression (BKMR) assessed metabolite mixtures in relation to gallstones. …”
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Design of a Medium Scale Ambient PM2.5 Cleaning System by Sheng-Chieh Chen, Qingfeng Cao, Thomas H. Kuehn, Charles Lo, Manoranjan Sahu, Yelia S. Mayya, David Y. H. Pui

“…In this study, a medium-scale filter-based blower-driven cleaning system was designed based on a computational fluid dynamic (CFD) simulation and experiments. …”
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Focal Adhesion Kinase and ROCK Signaling Are Switch-Like Regulators of Human Adipose Stem Cell Differentiation towards Osteogenic and Adipogenic Lineages by Laura Hyväri, Miina Ojansivu, Miia Juntunen, Kimmo Kartasalo, Susanna Miettinen, Sari Vanhatupa

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Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer’s Disease Therapy by Junyu Zhou, Chen Li, Yong Kwan Kim, Sunmin Park

“…This study aimed to identify natural compounds (NCs) with therapeutic potential in AD using an innovative bioinformatics-integrated deep neural analysis approach, combining computational predictions with molecular docking and in vitro experiments for comprehensive evaluation. …”
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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

“…Single-stage models predict GEBVs from phenotypic observations in one step, fully accounting for the entire variance-covariance structure among genotypes, but face computational challenges. Two-stage models, preferred for their simplicity and efficiency, first calculate adjusted genotypic means accounting for spatial variation within each environment, then use these means to predict GEBVs. …”
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Evaluation of the Operational Simplified Surface Energy Balance Model for Pastureland Evapotranspiration Mapping and Drought Monitoring in North Central Kentucky by Maheteme Gebremedhin, Ian Ries, Gabriel B. Senay, Martin Matisoff, Ibukun Amusan, Jeremy Sandifer, Buddhi Gyawali

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Evaluating the Potential of Commercial Forest Inventory Data to Report on Forest Carbon Stock and Forest Carbon Stock Changes for REDD+ under the UNFCCC by Danae Maniatis, Yadvinder Malhi, Laurent Saint André, Danilo Mollicone, Nicolas Barbier, Sassan Saatchi, Matieu Henry, Laurent Tellier, Mathieu Schwartzenberg, Lee White

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A multi-objective mathematical model for the multi-warehouse order picking system using Benders decomposition algorithm by Fatemeh Nikkhoo, Ali Hosseinzadeh Kashan, Bakhtiar Ostadi, Ehsan Nikbakhsh

“…Also, in this article regarding the solution method, exact solution approaches have been used for the first time considering the structure of the problem. The computation results show that the proposed algorithms are efficient and suitable methods for problem-solving.…”
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Gesture sonification for enhancing agency: an exploratory study on healthy participants by Felix Schoeller, Felix Schoeller, Parham Ashur, Joseph Larralde, Clement Le Couedic, Rajeev Mylapalli, Karthikeyan Krishnanandan, Anna Ciaunica, Anna Ciaunica, Adam Linson, Mark Miller, Nicco Reggente, Vladimir Adrien, Vladimir Adrien

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Perspectives of Midwives and Nurse Practitioners in Kentucky on Exercise Counseling During Pregnancy: A Qualitative Study by Madhawa Perera, Taniya S. Nagpal, Maire M. Blankenship, Danilo V. Tolusso, Jordyn M. Cox, Dilini Prashadika, Mark Schafer, Rachel A. Tinius

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Implementation of Solar Heat Energy and Adsorption Cooling Mechanism for Milk Pasteurization Application by G. Ramkumar, B. Arthi, S. D. Sundarsingh Jebaseelan, M. Gopila, P. Bhuvaneswari, R. Radhika, Geremew Geidare Kailo

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Color Confinement, Hadron Dynamics, and Hadron Spectroscopy from Light-Front Holography and Superconformal Algebra by Stanley J. Brodsky

“…The QCD light-front Hamiltonian equation HLFΨ=M2Ψ derived from quantization at fixed LF time τ=t  +  z/c provides a causal, frame-independent method for computing hadron spectroscopy as well as dynamical observables such as structure functions, transverse momentum distributions, and distribution amplitudes. …”
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Modelling the Transmission Dynamics of Meningitis among High and Low-Risk People in Ghana with Cost-Effectiveness Analysis by Nicholas Kwasi-Do Ohene Opoku, Reindorf Nartey Borkor, Andrews Frimpong Adu, Hannah Nyarkoah Nyarko, Albert Doughan, Edwin Moses Appiah, Biigba Yakubu, Isabel Mensah, Samson Pandam Salifu

“…Thus, this article develops a mathematical model that ascertains the dynamics involved in meningitis transmissions by partitioning individuals into low- and high-risk susceptible groups. After computing the basic reproduction number, the model is shown to exhibit a unique local asymptotically stability at the meningitis-free equilibrium E†, when the effective reproduction number R0<1, and the existence of two endemic equilibria for which R0†<R0<1 and exhibits the phenomenon of backward bifurcation, which shows the difficulty of relying only on the reproduction number to control the disease. …”
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Estimation of Anthocyanins in Apple Leaves Based on Ground Hyperspectral Imaging and Machine Learning Models by Yu Zhang, Mi Zou, Yanjun Li, Qingrui Chang, Xing Chen, Zhiyong Dai, Weihao Yuan

“…The original hyperspectral imaging at wavelengths before 720 nm shows a decrease in reflectance as the growth stages progress, while the spectral curves after 720 nm remain largely consistent across stages; (2) Compared to single original spectral variables, multivariate estimation models using original spectra and second-order derivative transformed spectra show improved accuracy for anthocyanins estimation across different growth stages, with the most significant improvement during the Fruit Enlargement stage; (3) Although the computation of the three-band spectral indices is resource-intensive and time-consuming, it can enhance anthocyanins estimation accuracy; (4) Among all models, the CatBoost model based on original spectra and second-order derivative transformed spectra indices for the entire growth period achieved the highest accuracy, with a validation set R² of 0.934 and a RPD of 3.888, and produced effective leaf anthocyanins inversion maps. …”
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Identification of urothelial cancer-associated 1 (UCA1) as a diagnostic biomarker of pre-eclampsia via regulating microRNA-16 and its downstream signaling pathway by Ye-Hong Xv, Wei Gao, Liao-Jv Wang

“…Enzyme-linked immunosorbent assay (ELISA), real-time polymerase chain reaction (PCR), Western blot analysis, immunohistochemistry (IHC) assay, computational analysis, and luciferase assay were conducted to measure the differential expression of UCA1, miR-16, and PAPP A while establishing a signaling pathway of UCA1/miR-16/PAPP-A. …”
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Antenatal care visits and its determinants among women in Afar regional state: North Eastern Ethiopia by Aragaw Asfaw Hasen

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Retrospective clinical analysis of time to recovery from diabetic ketoacidosis in Ethiopia by Angefa Ayele, Dube Jara, Alo Edin, Digafe Hailu, Mihiret Kifle, Yohannes Fekadu

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Rectal mucosal inflammation, microbiome, and wound healing in men who have sex with men who engage in receptive anal intercourse by Vanessa E. Van Doren, Cassie G. Ackerley, Robert A. Arthur, Phillip M. Murray, S. Abigail Smith, Yi-Juan Hu, Colleen F. Kelley

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Experimental and Theoretical Study on the Failure of Sandwich Specimens with Tabs under Four-Point Bending by V. N. Paimushin, S. A. Kholmogorov, M. V. Makarov, N. V. Levshonkova

“…The algorithm of the developed method was implemented as an application software, which facilitated a series of computational experiments. The results obtained were compared with the experimental data on the four-point bending of sandwich specimens with the facing layers made of a unidirectional fiber-reinforced composite characterized by specific geometric and physico-mechanical properties, as well as with tabs under the loading rollers. …”
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