Genetically Engineered Bacterial Ghosts as Vaccine Candidates Against <i>Klebsiella pneumoniae</i> Infection by Svetlana V. Dentovskaya, Anastasia S. Vagaiskaya, Alexandra S. Trunyakova, Alena S. Kartseva, Tatiana A. Ivashchenko, Vladimir N. Gerasimov, Mikhail E. Platonov, Victoria V. Firstova, Andrey P. Anisimov

“…Previously, this kit made it possible to generate bacterial cells of <i>Yersinia pestis</i> with varying degrees of hydrolysis and variable protective activity. <b>Results:</b> In the current study, we showed that co-expression of the holin and endolysin genes from the L-413C phage elicited more rapid and efficient <i>K. pneumoniae</i> lysis than lysis mediated by only single gene <i>E</i> or the low functioning holin–endolysin system of λ phage. …”
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Adaptive Stochastic Approach for Evaluating Service Level Using a (SIM-ESL) Module Developed for Optimizing Product Availability and Order Accuracy by Aufy Samah A., Jabbar Rasha, Shiaa Waad Q.

“…It is structured with two models are: Evaluation Dynamic Maximum Economic Order Quantity (EDEOQ) model developed Artificial Neural Network (ANN) to evaluate the optimum inventory level of finished goods as a function of product varied demand and lead time. The second one, Variability Between-Among Dynamic Economic Order Quantity (VB-ADEOQ) is modeled a fuzzy logic to estimate the performance measures (AOP and AOO) that make sure the required order is being processed and delivered on time. …”
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Indirect sliding mode adaptive fractional order nonlinear observer based controller with fractional order single-ended primary inductor converter by Sena Alemu Wondimu, Desalegn Tsega Dagne, Kinde Anlay Fante

“…The SEPIC converter is non-inverting and can both step up and step down the voltage with low ripple current. It is a nonlinear variable structure that uses sliding mode control (SMC) for stable operation. …”
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Three Decades of Land Cover Dynamics in a Boreal Coastal Basin: A Multisensor Spectral Index and Machine Learning Approach Using Landsat Data and GB-SAR Data by Jinsong Zhang, Bochi Zou, Yifei Yuan, Asad Khan, Muhammad Bilawal Junaid, Qaiser Abbas, Rana Muhammad Zulqarnain, Nazih Y. Rebouh, Olga D. Kucher, Hassan Alzahrani

“…Boreal coastal habitats, with their complex hydrological, ecological, and geological functions, play a pivotal role in regulating regional climate, supporting biodiversity, and sustaining local communities. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…Neuroimaging data, with their rich structural and functional information, provide a fertile ground for biomarker discovery. …”
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Analisis Penerimaan Learning Management System Institut Teknologi Garut Menggunakan Technology Acceptance Model by Asri Mulyani, Dede Kurniadi, Mita Hidayani Putri

“…It is hoped that the results of this research can be used as a reference for developers to continue to optimize the functionality of the Learning Management System so that it can be used optimally. …”
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Analytical methods for assessing the quality of sugarcane bagasse compost and improving the physicomechanical properties toward densification by Ehsan Sarlaki, Mohammad Hossein Kianmehr, Marzieh Ghorbani

“…For both responses of specific energy consumption and bulk density of SBCs, a two-factor interaction (2FI) model with the highest correlation coefficient and the lowest standard deviation was proposed. …”
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Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…Then, using grey relational analysis (GRA) and the maximum information coefficient (MIC) algorithm, we explored the complex relationship between the vegetation indices (VIs) and LCC, and further selected feature variables. …”
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Feasibility of in vivo small animal imaging using a clinical total-body PET/CT system by Julia G. Mannheim, Wenhong Lan, Maurizio Conti, Franziska Siedler, Marcel A. Krueger, Kristina Herfert, Christian la Fougère, Fabian P. Schmidt

“…SUVmax values exhibited greater variability, with significant differences observed in muscle and brain regions. …”
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Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest by Tássia Fraga Belloli, Diniz Carvalho de Arruda, Laurindo Antonio Guasselli, Christhian Santana Cunha, Carina Cristiane Korb

“…Models and sensor performance and spectral variable importance were compared. In our results, NL sample data RF models proved more accurate. …”
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Modeling of project activities for UAV modernization to conduct swarm drone attack missions by Oleg Fedorovych, Leonid Malieiev, Oleksii Hubka, Andrei Popov

“…The models are intended to optimize new functions related to control, coordination, and navigation, enabling UAVs to perform as part of drone swarms in military missions. …”
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Chemical magnetic field-assisted batch polishing method of 316L stainless steel by Fukang Yin, Chenchun Shi, Zikang Huang, Ke Wu, Jinbang Li, Chunjin Wang

“…This work is capable of providing valuable reference undoubtedly for batch precision polishing of 316L stainless steel and other significant functional materials.…”
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Correlation of the FIB-4 Liver Biomarker Score with the Severity of Heart Failure by Roxana Buzas, Paul Ciubotaru, Alexandra Corina Faur, Marius Preda, Melania Ardelean, Doina Georgescu, Patrick Dumitrescu, Daniel Florin Lighezan, Mihaela-Diana Popa

“…Statistical analysis was based on ANOVA one-way tests for continuous variables and Chi-square tests for categorical variables. …”
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Advancing the modified face name associative memory exam in cognitive aging research: insights into connectomic correlates and task reliability by Yilin Liu, Yilin Liu, Mark H. Sundman, Mark H. Sundman, Dalen Hinderaker, Allison Yu-Chin Chen, Allison Yu-Chin Chen, Jacob M. Green, Jacob M. Green, Lisbeth G. Haaheim, Lisbeth G. Haaheim, Hannah M. Siu, Hannah M. Siu, Catherine Jezerc, Kaitlyn Lai, Carol Chen, Parker Guss, Ying-hui Chou, Ying-hui Chou, Ying-hui Chou

“…Experiment 2 revealed significant associations between mFNAME performance and network properties like global efficiency, local efficiency, and system segregation in the default mode network (DMN) and medial temporal network (MTN). …”
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Integrating multi-dimensional data to reveal the mechanisms and molecular targets of baikening granules for treatment of pediatric influenza by Zhaoyuan Gong, Qianzi Che, Mingzhi Hu, Tian Song, Lin Chen, Haili Zhang, Ning Liang, Huizhen Li, Guozhen Zhao, Lijiao Yan, Xuefei Zhang, Bin Liu, Jing Guo, Nannan Shi

“…The high risk of viral variability, drug resistance, and drug development leads to a scarcity of therapeutic drugs. …”
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Applications of mutagenesis methods on affinity maturation of antibodies in vitro by LIU Yuan, LIN Manman, ZHANG Xiao, XU Chongxin, JIAO Linxia, ZHONG Jianfeng, WU Aihua, LIU Xianjin

“…In chain shuffling, a variable heavy or light chain of a specific antibody is recombined with a complementary variable domain library. …”
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Efectos de los factores de edificabilidad sobre la productividad laboral de moldajes de vigas en fundaciones The effects of buildability factors on formwork labor productivity of g... by Abdulaziz M Jarkas

“…Therefore, the objective of this research is to investigate and quantify the effects and relative influence of the following buildability factors on formwork labor efficiency of this activity: (a) variability of beam sizes; (b) beam sizes; and (c) number of joints formed at beams intersections. …”
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The Role of the Gut Microbiome in Exercise-Induced Inflammation and Recovery: A Narrative Review by Stanisław Dudek, Weronika Koziak, Aleksandra Bętkowska, Agata Kornacka, Kamila Szostak, Rafał Tomaka, Michalina Makieła, Wojciech Dudek, Anna Byra

“…While moderate exercise enhances immune function and microbial diversity, excessive training can lead to gut dysbiosis, increased intestinal permeability, and chronic inflammation. …”
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Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Ashraf Azmi, Zainuddin Abd Manan, Jeng Shiun Lim, Hong An Er, Siti Nor Azreen Ahmad Termizi

“…Optimization on an industrial scale is a complex task that involves fine-tuning the performance of large-scale systems and applications to make them more efficient and effective. This process can be challenging due to the increasing volume of work, growing system complexity, and the need to maintain optimal performance. …”
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The human gut microbiota contributes to type-2 diabetes non-resolution 5-years after Roux-en-Y gastric bypass by Jean Debédat, Tiphaine Le Roy, Lise Voland, Eugeni Belda, Rohia Alili, Solia Adriouch, Pierre Bel Lassen, Kazuyuki Kasahara, Evan Hutchison, Laurent Genser, Licia Torres, Camille Gamblin, Christine Rouault, Jean-Daniel Zucker, Nathalie Kapel, Christine Poitou, Geneviève Marcelin, Federico E. Rey, Judith Aron-Wisnewsky, Karine Clément

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