Gradient-Informed Pareto-Based Multi-Objective Binary Topology Optimization by Francesco Lucchini, Riccardo Torchio, Piergiorgio Alotto

“…To the best of the authors’ knowledge, this is the first attempt to integrate Pareto-based TO with binary variables and gradient information, highlighting its potential for further exploration and application.…”
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The cognitive impairment illustrated in drawings used in gaining insight and motivation in alcoholism treatment by Mandić-Gajić Gordana

“…The neuropsychological impairment such as different severity of executive deficit and mnestic disturbance among chronic alcoholics is frequent, but usually not explored. Case report. Two clinical vignettes of alcoholics who were not simultaneously treated in day hospital are presented, and they illustrated similar visuospatial impairments in free association drawings of a house made by. …”
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Enhancing power distribution performance through simultaneous optimization of voltage regulators placement and conductor selection: A multi-period MILP approach by Luis A. Gallego Pareja, Jesús M. López-Lezama, Oscar Gómez Carmona

“…Moreover, the integration of OCS and OPVRs has not been previously explored in the specialized literature. This approach represents a substantial advancement over traditional methods and plays a critical role in guaranteeing efficient power delivery in heavily loaded distribution networks.…”
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Safe Switching Model-Free Value Iteration for General Nonlinear Systems by Timotei Lala

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SELECTED ASPECTS OF DIGITAL REPRESENTATION OF INFORMATION SYSTEMS by A. Shuparskyy, Yuriy Furgala

“…From the viewpoint of the evolution of computing devices and corresponding use cases, the article structures an information systems timeline progressing through early electromechanical devices, electronic vacuum tubes, solid-state and integrated circuit electronics, the advent of microprocessors, personal and remote computing, and distributed systems of numerous autonomous devices, while exploring different approaches to a digital representation of computational entities. …”
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Education necessity for veterinary-producer relationship creation and sustainability: a mixed method study by Nicola L. Ritter, Nicola L. Ritter, Molly Gonzales, Molly Gonzales, Glennon Mays

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Using artificial intelligence tools for automating the assessment of future computer science teachers' work by Oleksandr M. Spazhev, Oksana V. Klochko

“… This paper examines the problem of automated testing of modified programming tasks for future computer science teachers. …”
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Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete by George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa

“…Abstract This research explores the application of Artificial Intelligence (AI) techniques to assess the mechanical properties of geopolymer concrete made from a blend of Banana Peel-Ash (BPA) and Sugarcane Bagasse Ash (SCBA), using a sodium silicate (Na2SiO3) to sodium hydroxide (NaOH) ratio ranging from 1.5 to 3. …”
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Incidence, clinical and genomic trends of hospital- and Non-hospital-onset KPC-producing Klebsiella pneumoniae infections before and during the COVID-19 era: a ten-year interrupted... by Manuel Recio-Rufián, Teresa López-Viñau, Víctor Gálvez-Soto, Ángela Cano, Rafael Ruiz-Montero, Belén Gutiérrez-Gutiérrez, Irene Gracia-Ahufinger, Germán Peñalva, Juan Antonio Marín-Sanz, Miriam Marín-Sanz, David Segorbe, Juan Jesús Pineda-Capitán, Montserrat Muñoz-Rosa, Cristina Riazzo, Federico Giovagnorio, Elisa Ruiz-Arabi, José David Torres-Peña, Juan José Castón, Isabel Machuca, Inmaculada Salcedo-Leal, Luis Martínez-Martínez, Elena Pérez-Nadales, Julián Torre-Cisneros, KLEBMAN study group

“…Cross-correlation analysis explored temporal associations between HOI and non-HOI trends. …”
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A 23-gene multi-omics signature predicts prognosis and treatment response in non-small cell lung cancer by Yinxu Zhang, Siwang Wang, Xiaoyang Chen, Guangyu Zhang, Yuxi Wang, Xiaomei Liu

“…Conducted MR analysis to explore causal links between signature genes and NSCLC incidence, providing biological insights. (3) Results: A prognostic signature was developed, including 23 prognostic genes related to 19 PCD patterns and three organelle functions. …”
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Research progress of deubiquitinating enzymes in cerebral ischemia-reperfusion injury by XiaoHong Qin, JiangRui Zhu, HaoRan Lu, MaoRui Yi, ZiLong Zhao, WenFei Zhang, Jing Cheng

“…Future research must integrate multi-omics technologies, develop brain-targeted delivery platforms, and explore synergistic effects of DUBs modulation with existing therapies to advance precision medicine in stroke treatment.…”
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Percepción de coordinadores de programas bilingües y docentes de Educación Física en inglés en secundaria sobre el proceso de implantación y desarrollo del bilingüismo en la Comuni... by Alejandra Hernando Garijo, David Hortigüela Alcalá, Ángel Pérez Pueyo

“…The purpose of this study is to explore perceptions towards bilingual education programs in Castilla y Léon and investigate factors that may affect the development of Physical Education (PE) in bilingual education programs. …”
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Accessing utility of immunohistochemistry, PD-L1 correlation with stage of cancer and EGFR mutation with disease survival in primary lung carcinoma by Kartavya Kumar Verma, Amit Bugalia, Ajoy Kumar behera, Nighat Hussain

“…This study investigates how immunohistochemistry (IHC) can improve early diagnosis and molecular categorization of NSCLC. Additionally, we explore the relationship between epidermal growth factor receptor (EGFR) expression and patient overall survival (OS), as well as the correlation between programmed death ligand 1 (PD-L1) expression and cancer staging. …”
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Looking at Cooperative Learning through the Eyes of Public Schools Teachers Participating in a Teacher Development Program* Una mirada al trabajo cooperativo desde la perspectiva d... by John Jairo Viáfara González, María Eugenia López Hurtado

“…An exploration of in-service public schools teachers’ implementation of cooperative learning forms the basis of this article. …”
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Media and сompetencies: A new perspective on training specialists in mass communications by Sofia S. Plaksina, Anastasia M. Kuprianova, Anna Yu. Ilina

“…It aims to provide recommendations for updating educational programs to meet the demands of the modern labor market. …”
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Progress of research on PD-L1 inhibitor adebrelimab usage in malignant tumors by Pan Cheng, Jichen He, Pingping Cheng, Kaixia Chen, Guangyu Zhao

“…Adebrelimab is a humanized monoclonal antibody against programmed death-ligand 1 (PD-L1) and is also a novel immune checkpoint inhibitor, which has been used in the first-line treatment of extensive stage small cell lung cancer (SCLC) with its unique mechanism of action and good clinical efficacy. …”
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Malicious software identification based on deep learning algorithms and API feature extraction by Wei Sun

“…This study contributes to the in-depth exploration of semantic information and behavioral patterns of application programming interface call sequences. …”
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Implementing CAD API Automated Processes in Engineering Design: A Case Study Approach by Konstantinos Sofias, Zoe Kanetaki, Constantinos Stergiou, Antreas Kantaros, Sébastien Jacques, Theodore Ganetsos

“…Overall, this study investigates how API-based automation can significantly increase productivity and data integrity in CAD-intensive environments and explores future integration opportunities using AI and other CAD software.…”
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Optimizing appliance scheduling for utility and budget in smart energy systems under inclining block rate tariffs by Ahmed Shaban, Mohamed Salhen, Mohamed A. Shalaby, Tamer F. Abdelmaguid

“…While appliance scheduling is often explored under dynamic pricing schemes, this study demonstrates its effectiveness under Inclining Block Rate (IBR) tariffs—commonly used in developing countries and currently applied in Egypt. …”
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A novel deep learning framework for automatic scoring of PD-L1 expression in non-small cell lung cancer by Saidul Kabir, Muhammad E. H. Chowdhury, Rusab Sarmun, Semir Vranić, Rafif Mahmood Al Saady, Inga Rose, Zoran Gatalica

“… A critical predictive marker for anti-PD-1/PD-L1 therapy is programmed death-ligand 1 (PD-L1) expression, assessed by immunohistochemistry (IHC). …”
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