A multi-model approach for estimation of ash yield in coal using Fourier transform infrared spectroscopy by Sameeksha Mishra, Anup K. Prasad, Arya Vinod, Anubhav Shukla, Shailayee Mukherjee, Bitan Purkait, Atul K. Varma, Bhabesh C. Sarkar

“…Abstract The ash yield resulting from the alteration of inorganic elements during the processes of combustion and gasification of coal stands as a crucial quality indicator for coal. …”
Get full text

An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…A total of 2048 DL features were initially extracted, from which only 27 features with coefficients greater than zero were retained. The support vector machine (SVM) DL model demonstrated exceptional performance, achieving area under the curve (AUC) values of 0.948 and 0.795 in the training and test groups, respectively. …”
Get full text

Influence of high Andean grasslands on landslide reduction in Peru by Albert Franco Cerna-Cueva, Katherin Lourdes Uriarte-Barraza, Grecia Isabel Lobatón-Tarazona, Wensty Saenz-Corrales, Casiano Aguirre-Escalante, Peter Coaguila-Rodriguez, Manuel Reategui-Inga

“…The best-performing machine learning models were linear regression, Gaussian processes, random forest, and support vector machine. …”
Get full text

PSYCHOLOGICAL AND PEDAGOGICAL FEATURES OF TEACHING MEDICAL AND BIOLOGICAL PHYSICS by Fediv Volodymyr, Olar Оlena, Biriukova Tetiana

“…The objective of the study is to analyze the problem of optimizing the psychological and pedagogical component of the educational process in the studying of physical and mathematical courses by medical students. …”
Get full text

Seed Protein Content Estimation with Bench-Top Hyperspectral Imaging and Attentive Convolutional Neural Network Models by Imran Said, Vasit Sagan, Kyle T. Peterson, Haireti Alifu, Abuduwanli Maiwulanjiang, Abby Stylianou, Omar Al Akkad, Supria Sarkar, Noor Al Shakarji

“…Convolutional neural networks (CNNs) with attention mechanisms were proposed along with traditional machine learning models based on feature engineering including Random Forest (RF) and Support Vector Machine (SVM) regression for comparative analysis. …”
Get full text

Optimal Vibration Fields in Problems of Modeling Dynamic States of Technical Objects by A. V. Eliseev, N. K. Kuznetsov

“…Vibration interaction control is timely in production processes related to liquid and bulk media, systems of solids experiencing kinematic or force disturbances. …”
Get full text

Physical Activity as a Factor to Improve the Quality of Student Life by M. M. Kolokoltsev, S. S. Iermakov, N. V. Tretyakova, V. L. Kraynik, E. V. Romanova

“…In order to prevent the negative consequences of these processes in terms of health preservation and improvement of the situation, it is necessary to identify and follow the trends in young people’s quality of life concerning their physical activity, which is an important condition for harmonious development, especially during the period of youth ontogenesis.The aims of the present research were the following: to study the indicators of well-being of senior students of technical specialties and to determine the vector of changes in graduates’ quality of life depending on the degree of their motor activity.Material and research methods. …”
Get full text

Cross-scale observation of riparian vegetation: Testing the potential of satellite-UAV-Field integrated observations for large-scale herbaceous species by Weiwei Jiang, Chenyu Li, Henglin Xiao

“…In response to the dual challenges of global change and human activities, riverine ecological management urgently requires a deep understanding of the large-scale ecological processes of dominant vegetation populations along riverbanks. …”
Get full text

Reveal the mechanism of brain function with fluorescence microscopy at single-cell resolution: from neural decoding to encoding by Kangchen Li, Huanwei Liang, Jialing Qiu, Xulan Zhang, Bobo Cai, Depeng Wang, Diming Zhang, Bingzhi Lin, Haijun Han, Geng Yang, Zhijing Zhu

“…For decoding models, we compared linear and nonlinear methods, including independent component analysis, random forests, and support vector machines, highlighting their capabilities to reveal the intricate mapping between neural activity and behavior. …”
Get full text

Non-Renewable and Renewable Exergy Costs of Water Electrolysis in Hydrogen Production by Alessandro Lima, Jorge Torrubia, Alicia Valero, Antonio Valero

“…This fuel emerges as the most environmentally sustainable energy vector for non-electric applications and is devoid of CO₂ emissions. …”
Get full text

Intelligent algorithm-based model for predicting mass transfer performance in CO2 absorption within a rotating packed bed by Wei Zhang, Hao Chen, Ke Huang, Xing Shu, Cheng Fu, Bin Huang

“…Using dimensional analysis, key factors are transformed into dimensionless numbers, which are then input into models integrating least squares support vector machine (LSSVM) with genetic algorithm (GA), particle swarm optimization (PSO), and a hybrid GA-PSO (HGAPSO). …”
Get full text

Multi-stage Optimization Forecast of Short-term Power Load Based on VMD and PSO-SVR by Wenwu LI, Qiang SHI, Dan LI, Qunyong HU, Yun TANG, Jinchao MEI

“…To reduce the non-linearity of the short-term load sequence and improve the prediction accuracy, a short-term load forecasting model based on multi-stage optimization variational mode decomposition (VMD) and particle swarm optimization optimize support vector regression (PSO-SVR) is proposed. In the first stage, VMD optimization and pre-processing of the original load sequence are used to decompose and obtain multiple relatively stable modal components. …”
Get full text

The Expansion Mode of Adult Matsucoccus Matsumurae (Hemiptera: Margarodidae) in Pinus Thunbergii (Pinales: Pinaceae) and Pinus Densiflora (Pinales: Pinaceae) Forests in Shandong Pr... by Gao Xing, Chen MengJiao, Zhang Ranran, Qiu Hong, Dai Lulu, Zhao Mingzhen

Get full text

Analyzing the impact of prevention strategies of a fractional order malaria model using Adam–Bashforth approach by Agnes Adom-Konadu, Albert Lanor Sackitey, Joshua Kiddy K. Asamoah, Martin Anokye, Emmanuel Donkor

“…It has been observed that increasing π reduces the infected human and vector population. It was proven that a closed community may eventually control or possibly eradicate malaria by reducing both transmission rates and increasing preventive rates. …”
Get full text

NSm is a critical determinant for bunyavirus transmission between vertebrate and mosquito hosts by Selim Terhzaz, David Kerrigan, Floriane Almire, Agnieszka M. Szemiel, Joseph Hughes, Jean-Philippe Parvy, Massimo Palmarini, Alain Kohl, Xiaohong Shi, Emilie Pondeville

“…Overall, we unveiled a key evolutionary process that allows the transmission of vector-borne bunyaviruses between arthropod and vertebrate hosts.…”
Get full text

Large Language Models for Knowledge Graph Embedding: A Survey by Bingchen Liu, Yuanyuan Fang, Naixing Xu, Shihao Hou, Xin Li, Qian Li

“…As the superior performance of LLMs becomes apparent, they are increasingly being applied to knowledge graph embedding (KGE)-related tasks to improve the processing results. Traditional KGE representation learning methods map entities and relations into a low-dimensional vector space, enabling the triples in the knowledge graph to satisfy a specific scoring function in the vector space. …”
Get full text

The Blocking Mechanism of the Vertical Feeding System of Roadside Support Body Material for Backfilling Gob-Side Entry Retaining by Peng Gong, Zhanguo Ma, Jian Sun, Ray Ruichong Zhang

“…The change rules of the speed of sacked gangue, pressure of air below it, and speed vector distribution with different vent diameters were obtained. …”
Get full text

Pig Detection Algorithm Based on Sliding Windows and PCA Convolution by Longqing Sun, Yan Liu, Shuaihua Chen, Bing Luo, Yiyang Li, Chunhong Liu

“…An accurate and rapid pig detection algorithm based on video image processing technology can be helpful to identify abnormal pigs and take timely measures to reduce the incidence of diseases. …”
Get full text

Screening of multi deep learning-based de novo molecular generation models and their application for specific target molecular generation by Yishu Wang, Mengyao Guo, Xiaomin Chen, Dongmei Ai

“…Moreover, we propose an integrated end-to-end neural network learning framework based on one complete encoder-decoder architecture transformer model: Transfer Text-to-Text Transformer (T5), by learning the embedding vector representation space of conditional molecular properties to encode and guide the vector representation of SMILES sequences, resulting in the output of the final decoder block with a softmax output (maximum likelihood objective). …”
Get full text

Predicting sensory evaluation of spinach freshness using machine learning model and digital images. by Kento Koyama, Marin Tanaka, Byeong-Hyo Cho, Yusaku Yoshikawa, Shige Koseki

“…Herein, the ability of an image processing-based, nondestructive technique to classify spinach freshness was evaluated. …”
Get full text