Fatty acid ethyl esters as biodiesel fuel: product quality and efficiency of various purification techniques by Lyubov Patrylak, Serhiy Konovalov, Stepan Zubenko, Angela Yakovenko, David Davitadze, Olexandra Pertko

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Dual Adapter Tuning of Vision–Language Models Using Large Language Models by Mohammad Reza Zarei, Abbas Akkasi, Majid Komeili

“…Additionally, most existing ETL models rely on using textual prompts constructed by completing general pre-defined templates. This approach neglects the descriptive knowledge that can assist VLM by presenting an informative prompt. …”
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Sustainable utilization of post-extraction residual biomass for solid biofuel production by Diana Kindzera, Viktoria Kochubei, Roman Hosovskyi

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Cross-Modal Behavioral Intelligence in Regard to a Ship Bridge: A Rough Set-Driven Framework with Enhanced Spatiotemporal Perception and Object Semantics by Chen Chen, Yuenan Wei, Feng Ma, Zhongcheng Shu

“…In such settings, both the accuracy and efficiency of existing methods are notably limited. …”
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Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers’ Markets by Mei Liu, Yunhua Chen, Jinjun Rao, Wojciech Giernacki, Zhiming Wang, Jinbo Chen

“…What is more, compared with the general navigation method, the driving trajectory length of A*-FRN is 23.3% less. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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A NUMERICAL TECHNIQUE FOR THE SOLUTION OF GENERAL EIGHTH ORDER BOUNDARY VALUE PROBLEMS: A FINITE DIFFERENCE METHOD by Pramod Kumar Pandey

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Development of the intellectual capital management system of a holding by L. R. Iksanova

“…Objective: to define and justify the efficient system of intellectual capital management. …”
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Detection and Classification of Dress Code Violations in Educational Environments Using Deep Learning by Aminu Suleiman Bashir, Ahmed Ibrahim Mahmud, Muhammad Yahya

“…This paper exhibits a model that integrates Faster R-CNN for detection and EfficientNet for classification, which provides an accurate and very efficient system to monitor students’ compliance with the dress code policies. …”
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Multiscale fusion enhanced spiking neural network for invasive BCI neural signal decoding by Yu Song, Yu Song, Liyuan Han, Tielin Zhang, Bo Xu, Bo Xu

“…Additionally, the MFSNN improves generalizability and robustness in cross-day signal decoding through mini-batch supervised generalization learning. In two benchmark invasive BCI paradigms, including the single-hand grasp-and-touch and center-and-out reach tasks, the MFSNN surpasses traditional artificial neural network methods, such as MLP and GRU, in both accuracy and computational efficiency. …”
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ViT–KAN Synergistic Fusion: A Novel Framework for Parameter- Efficient Multi-Band PolSAR Land Cover Classification by Songli Han, Dawei Ren, Fan Gao, Jian Yang, Hui Ma

“…The proposed method significantly enhances the model’s generalization capability across different band combinations. …”
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Advanced dynamic ensemble framework with explainability driven insights for precision brain tumor classification across datasets by Retinderdeep Singh, Sheifali Gupta, Ashraf Osman Ibrahim, Lubna A. Gabralla, Salil Bharany, Ateeq Ur Rehman, Seada Hussen

“…To address class imbalance and improve model generalization, a customized weighted cross-entropy loss function is incorporated. …”
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A Study of Deep Learning Models for Audio Classification of Infant Crying in a Baby Monitoring System by Denisa Maria Herlea, Bogdan Iancu, Eugen-Richard Ardelean

“…This study investigates the ability of well-known deep learning models, such as ResNet and EfficientNet, to perform audio-based infant cry detection. …”
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The structure of an online assessment of science and social studies content: testing optional formats of a general outcome measure by Paul Mooney, Kevin S. McCarter, Robert J. Russo, Danielle L. Blackwood

“… Research questions addressed the structure of an online form of content-focused general outcome measurement known as critical content monitoring. …”
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Iterative Algorithm for Solving a Class of Quaternion Matrix Equation over the Generalized (P,Q)-Reflexive Matrices by Ning Li, Qing-Wen Wang

“…Furthermore, the optimal approximate generalized (P,Q)-reflexive solution for a given generalized (P,Q)-reflexive matrix X0 can be derived. …”
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General model for best feature extraction of EEG using discrete wavelet transform wavelet family and differential evolution by Ahmad al-Qerem, Faten Kharbat, Shadi Nashwan, Staish Ashraf, khairi blaou

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First Experience: The Use of Spine Navigation at Arifin Achmad General Hospital, Riau Province: A Case Report by Ade Wirdayanto, Enny Lestari, Said Rafly Okta Randa, Sherly Aprilia Perel Puteri

“…Case Report: We reported the first experience of using neuronavigation at Arifin Achmad General Hospital, Riau Province, in a case of thoracic canal stenosis. …”
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A Novel Entropy-Based Decoding Algorithm for a Generalized High-Order Discrete Hidden Markov Model by Jason Chin-Tiong Chan, Hong Choon Ong

“…The computational complexity of this extended algorithm is due to the growth of the model parameters. We introduce an efficient entropy-based decoding algorithm that used reduction approach, namely, entropy-based order-transformation forward algorithm (EOTFA) to compute the optimal state sequence of any generalized HHMM. …”
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Effects of prostaglandin treatment and paracervical blockade on postoperative pain in patients undergoing first trimester abortion in general anesthesia by Gerd Hall, Anders Ekblom, Elisabeth Persson, Lars Irestedt

“…The postoperative analgesic efficacy of a paracervical blockade (PCB) as an adjunct to general anesthesia (GA) during outpatient abortion (dilatation and curettage) is unclear, and the present study was initiated to evaluate if PCB is of significant importance per‐or postoperatively. …”
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The K‐Profile Parameterization Augmented by Deep Neural Networks (KPP_DNN) in the General Ocean Turbulence Model (GOTM) by Jianguo Yuan, Jun‐Hong Liang, Eric P. Chassignet, Olmo Zavala‐Romero, Xiaoliang Wan, Meghan F. Cronin

“…The DNN‐augmented KPP schemes (KPP_DNN) have been implemented in the General Ocean Turbulence Model (GOTM). The KPP_DNN is stable for long‐term integration and more efficient than existing variants of KPP schemes with wave effects. …”
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