An Uncertain Programming Model for Fixed Charge Transportation Problem with After-Sale Service by Kai Zhu, Yue Fan, Jiayu Shen, Yuyi Li, Mingfeng Yin

“…This paper constructs an uncertain mathematical model for the fixed charge transportation problem in which several kinds of items are transported from different sources to various destinations via different methods. …”
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Determination of benzo [a] pyrene in vegetable oil by solid phase extraction-ultra performance liquid chromatography-fluorescence detector by Feng Yinjie, Qiao Yongsheng, Chen Wei, Feng Chengyu, Ying Tiejin

“…The recommended national method for BaP determination in animal and vegetable fats and oils (GB/T 22509—2008) requires high experimental skills and long test time, making it difficult to guarantee the accuracy and repeatability of results. …”
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Quinoa malt and blueberry functional beverage: effect of malting and consumer sensory evaluation by Eliana Gabriela Contreras, Tatiana Rojas-Ayerve, Elizabeth Fuentes-Campos, Erika Lizet Chaiña Mamani, Alessandra Arosena-Chao, Ana María Muñoz Jauregui

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THE EVALUATION OF CURRENT RESEARCH ON THE STRENGTH OF DENTAL RESTORATIVE COMPOSITE MATERIALS by V.S. Kukhta, О.S. Kyrmanov

“… The aim of the study: to analyze the sources of scientific and metric information on the state of research on the strength of dental composites for tooth restoration. …”
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Integrated Bidding and Battery Scheduling in a Microgrid for Sealed-Bid Double Auction Power Trading With Peer Microgrids Under Uncertainty and Its Blockchain-Based Implementation by Zubin J. B., Sunitha R., Gopakumar Pathirikkat

“…In parallel, battery operations are optimized using a hybrid method that combines Genetic Algorithm (GA) and Simulated Annealing (SA), explicitly incorporating the bid buffer capacity to align scheduling with market commitments. …”
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Operational Modes and Technical Points for Empowering Urban Park Green Spaces by Digital Technology by Yang ZHANG, Changlin LI, Ninglu ZHANG, Fei WU

“…Based on the above, four specific technical points for implementing the operational mode in reality are proposed as follows. 1) Multi-source data as an auxiliary tool for constructing accurate tourist portraits and optimizing space. …”
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PRODUCING IODINE-131 FROM TELLURIUM-130 NEUTRON ACTIVATION: STUDY OF FEASIBILITY IN THE ARGONAUTA RESEARCH REACTOR AT IEN by LUCIANA CARVALHEIRA, Ramon Matias Nunes MENDONÇA, Francisco José de Oliveira FERREIRA, Rogerio Chaffin NUNES

“…This highlights the need for alternative production methods to ensure timely availability of crucial radionuclides. …”
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Nonreciprocal unconventional photon blockade in a spinning microwave magnomechanical system by Rui Hou, Wei Zhang, Xue Han, Hong-Fu Wang, Shou Zhang

“…Abstract We propose a method for realizing the nonreciprocal unconventional photon blockade (NUPB) effect in a spinning microwave magnomechanical system. …”
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Prognostic predictions in psychosis: exploring the complementary role of machine learning models by Metten Somers, Hugo G Schnack, Rene S Kahn, Diane F van Rappard, Frank L Gerritse, Edwin van Dellen, Violet van Dee, Seyed M Kia, Caterina Fregosi, Wilma E Swildens, Anne Alkema, Albert Batalla, Coen van den Berg, Danko Coric, Lotte G Dijkstra, Arthur van den Doel, Livia S Dominicus, John Enterman, Marte Z van der Horst, Fedor van Houwelingen, Charlotte S Koch, Lisanne E M Koomen, Marjan Kromkamp, Michelle Lancee, Brian E Mouthaan, Eline J Regeer, Raymond W J Salet, Jorgen Straalman, Marjolein H T de Vette, Judith Voogt, Inge Winter-van Rossum, Wiepke Cahn

“…Understanding how ML models (MLMs) can complement psychiatrists’ predictions and bridge the gap between MLM capabilities and practical use is key.Objective This vignette study aims to compare the performance of psychiatrists and MLMs in predicting short-term symptomatic and functional remission in patients with first-episode psychosis and explore whether MLMs can improve psychiatrists’ prognostic accuracy.Method 24 psychiatrists predicted symptomatic and functional remission probabilities at 10 weeks based on written baseline information from 66 patients in the OPtimization of Treatment and Management of Schizophrenia in Europe (OPTiMiSE) trial. …”
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Research activity as a factor in the formation of professional competence of future teachers in the context of digital transformation by Tatyana A. Toreeva

“…Methodology . The main research methods were critical analysis of scientific and pedagogical sources, systematization, classification, and questionnaire method. …”
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Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) by Muhammad Yuslan Abu Bakar, Adiwijaya Adiwijaya

“…Text classification has its own challenges related to several features whose dimensions are very large so that it increases computing time and causes difficulties in getting optimal results. This research uses a hybrid method in deep learning by combining a Convolutional Neural Network and a Recurrent Neural Network, namely Convolutional Recurrent Neural Network (CRNN). …”
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Current directions of cooperation between Ukraine and EU countries in the field of healthcare by Leonid Taraniuk, Renata Korsakiene, Karina Taraniuk, Kateryna Rubanenko

“…Systematization of literature sources and scientific approaches to optimizing cooperation between Ukraine and EU countries has shown that the issue of forming effective ties between Ukraine and EU countries in the martial law of Ukraine remains unresolved, and aspects of optimizing work between Ukraine and EU countries in the direction of investment humanitarian support of the medical sphere of Ukraine. …”
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Cooling System Design and Temperature Field Analysis for High-Speed Switched Reluctance Motor Considering Multi-Field Coupling of Electromagnetic-Thermal-Flow by Lukuan Qiao, Aimin Liu, Da Ren, Fangui Meng, Yuchen Wang, Yao Liu

“…Three cooling structures are compared in terms of thermal and flow field performance, and the spiral waterway is identified as optimal. To improve prediction accuracy, both unidirectional and bidirectional EM-TF coupling methods (UEMTFC and BEMTFC) are employed. …”
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Peran Teknologi ChatGPT dalam Optimalisasi Layanan Referensi bagi Mahasiswa di Perpustakaan Universitas Prima Indonesia by Nur Wahyuni, Nabila Yasmin

“…Thematic analysis will be used to analyze the collected data, ensuring data validity through source triangulation and member checking. This research is expected to provide insights into the potential of ChatGPT in enhancing reference services for students at Prima Indonesia University and offer recommendations for libraries to leverage the latest technology in optimizing their services. …”
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Production and biochemical characterization of freeze-dried blueberry juice from enzymatically processed berries by E. A. Alekseenko, N. Yu. Karimova, G. V. Semenov, I. S. Krasnova, O. E. Bakumenko

“…This direction allows complex problem solving regarding seasonality of berry processing with optimization of logistics costs, extension of the geography of sources of raw material supply while preserving high sensory properties of a freeze-dried product. …”
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Remote Sensing Change Detection by Pyramid Sequential Processing With Mamba by Jiancong Ma, Bo Li, Hanxi Li, Siying Meng, Ruitao Lu, Shaohui Mei

“…The results demonstrate that our approach consistently delivers state-of-the-art performance, surpassing other cutting-edge methods by a significant margin. The source code is available at <uri>https://github.com/Band-127/Pyramid-Mamba-CD</uri>.…”
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ANN-Based Design of a Hybrid Renewable Energy System for Hybrid Electric Vehicle Applications by Babu Jarapala Ramesh, Murty M.V.D.S. Krishna, Rajashekar Deva, Susheela N.

“…This article examines energy management strategies for hybrid power systems, leveraging an Artificial Neural Network (ANN) to optimize power flow based on real-time needs. The ANN controller ensures maximum power point tracking (MPPT) from renewable sources like photovoltaics (PV), wind turbines (WTs), and fuel cells (FCs), utilizing DC-DC converters. …”
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A hybrid sparse identification and convolutional neural network framework for renewable energy forecasting by Junchi He, Junchi He, Tian Tian, Yaqing Wu, Xiaolu Liu, Mengli Wei

“…Due to the intermittency of renewable energy sources, traditional data-driven deep learning methods face challenges in capturing long-term dependencies. …”
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Automatic phenotyping using exhaustive projection pursuit by Wayne A. Moore, Stephen W. Meehan, Connor Meehan, David R. Parks, Guenther Walther, Leonore A. Herzenberg

“…We have developed an automated tool to comprehensively identify these cell populations by Exhaustive Projection Pursuit (EPP). The method evaluates all two-dimensional projections among the suitable data dimensions and creates an optimized sequence of statistically significant gating regions that identify all phenotypes supported by the data. …”
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Antagonistic effects of Bacillus species against bacterial multi-drug resistant (MDR) food-borne pathogens and aflatoxigenic fungi by Temilade Ozabor, Deborah Falomo, Elizabeth Taiwo, Oyindamola Alabi, Precious Adediran, Femi Ayoade, Ilesanmi Fadahunsi, Janet Olaitan

“…Morphological and biochemical characterizations were done using standard methods.  Production of cell-free metabolites, agar well diffusion, optimization of Bacillus growth rates, and enzymatic assays were also carried out using standard techniques, while aflatoxin quantification and qualification were done using high-performance thin-layer chromatography (HP-TLC).  …”
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