Comparison of different neurite density metrics with brain asymmetry evaluation by Ivan I. Maximov, Lars T. Westlye

“…In order to develop reliable diffusion approaches and to avoid computational model degeneracy, additional theoretical assumptions allowing stable numerical implementations are required. …”
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Training of Mid-Level Specialists in the Telecommunications Area Based on a Trusted Technical Solution by Elena Smirnova, Vladimir Shibanov, Pavel Romasevich

“…At the same time, based on the extensive experience in the educational activities of D Link Trade specialists, the T-COM company decided to create a training course “Data transmission and switching in computer networks” together with its technology partner, to support the educational process in Rosatom laboratory at Sirius University College. …”
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A Novel Approach to Faster Convergence and Improved Accuracy in Deep Learning-Based Electrical Energy Consumption Forecast Models for Large Consumer Groups by A. Jayanth Balaji, Binoy B. Nair, D. S. Harish Ram, Kuruvachan Kalluvelil George

“…Deep learning-based models are ideally suited for accurately predicting electrical load in a smart grid. However, the computational overhead in training models and identifying optimal training hyperparameters are challenging problems. …”
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Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury by Daphine Centola Grassi, Ana Luiza Zaninotto, Fabrício Stewan Feltrin, Fabíola Bezerra de Carvalho Macruz, Maria Concepción García Otaduy, Claudia da Costa Leite, Vinicius Monteiro de Paula Guirado, Wellingson Silva Paiva, Celi Santos Andrade

“…We computed the average difference between the two measures across subjects and performed a one-sample t-test and threshold-free cluster enhancement, using a corrected p-value < 0.05. …”
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Discovering the key symptoms for identifying patterns in functional dyspepsia patients: A doctor's decision and machine learning by Da-Eun Yoon, Heeyoung Moon, In-Seon Lee, Younbyoung Chae

“…Background: Pattern identification is a crucial diagnostic process in traditional East Asian medicine that involves classifying patients with similar symptom patterns. …”
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CFD Modelling of Refining Behaviour in EAF: Influence of Burner Arrangement and Oxygen Flow Rates by Sathvika Kottapalli, Orlando Ugarte, Bikram Konar, Tyamo Okosun, Chenn Q. Zhou

“…The electric arc furnace (EAF) process includes key stages: charging scrap metal, melting using electric arcs, refining through oxygen injection and slag formation, and tapping molten steel. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

“…Additionally, during the model lightweighting process, issues such as multimodal feature coupling failure and the imbalance between classification and localization performance often arise. …”
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Interactions between dynamic recrystallization and dynamic precipitation during hot forming of magnesium alloy: Multilevel cellular automaton modeling by Yu-Ying He, Li-Ping Lei, Gang Fang

“…Accurately tailoring microstructures, especially grain size, during thermomechanical processing is crucial for achieving the desired strength-ductility synergy of wrought magnesium alloys. …”
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Detection of Pear Quality Using Hyperspectral Imaging Technology and Machine Learning Analysis by Zishen Zhang, Hong Cheng, Meiyu Chen, Lixin Zhang, Yudou Cheng, Wenjuan Geng, Junfeng Guan

“…In summary, the combination of HSI and machine learning models enabled an efficient, rapid, and non-destructive detection of pear quality and provided a practical value for quality control and the commercial processing of pears.…”
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Lightweight defocus deblurring network for curved-tunnel line scanning using wide-angle lenses by Shaojie Qin, Taiyue Qi, Xiaodong Huang, Xiao Liang

“…Moreover, our method exhibited a higher computational speed than that of conventional methods, with inference times of 8.82 ms for a single 512 × 512 pixel image patch and 227.22 ms for completely processing a 2048 × 2560 pixel image. …”
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Automated depression detection via cloud based EEG analysis with transfer learning and synchrosqueezed wavelet transform by Sara Bagherzadeh, Mohammad Reza Norouzi, Amirhesam Ghasri, Pouya Tolou Kouroshi, Sepideh Bahri Hampa, Fatemeh Farokhshad, Ahmad Shalbaf

“…To tackle this, we developed a cloud-based computer-aided depression diagnostic (CCADD) system that utilizes EEG signals from local databases. …”
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Spatial–Spectral Feature Fusion and Spectral Reconstruction of Multispectral LiDAR Point Clouds by Attention Mechanism by Guoqing Zhou, Haoxin Qi, Shuo Shi, Sifu Bi, Xingtao Tang, Wei Gong

“…Existing spectral reconstruction methods often require empirical parameter settings and involve high computational costs, limiting automation and complicating application. …”
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Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection by Jiawei Lu, Yiduo Guo, Weike Feng, Xiaowei Hu, Jian Gong, Yu Zhang

“…Second, for the five ISRJ types, a post-processing algorithm based on boxes fusion is designed to further extract features for secondary recognition. …”
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Simulation and Analysis of Gas Leakage in Hydrogen Station by Lei LEI, Jun ZHOU, Zhuoyan LI, Shaohua LI, Yan LIU

“…Numerical simulation of this process can effectively help engineers and workers reduce risks. …”
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Identifying Porphyromonas gingivalis-infected hub genes and molecular mechanisms of oral squamous cell carcinoma pathogenesis by Nishant Kumar Singh, Prankur Awasthi, Agrika Gupta, Nidhi Anand, Balendu Shekher Giri, Md. Imtaiyaz Hassan, Saba Hasan

“…GO analysis of the DEGs shows that "cell migration, extracellular space, protein binding, TNF signaling pathway and IL6" possess the highest enrichment in the "Biological Process, Cytological Component, Molecular Function, and KEEG," respectively. …”
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Enhancing vector control: AI-based identification and counting of Aedes albopictus (Diptera: Culicidae) mosquito eggs by Minghao Wang, Yibin Zhou, Shenjun Yao, Jianping Wu, Minhui Zhu, Linjuan Dong, Dunjia Wang

“…The identification and counting process involved applying the tile overlapping method, while morphological filtering was employed to remove impurities. …”
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PROBIOTICS AS AN ADJUNCTIVE THERAPY FOR CELIAC DISEASE: SYMPTOM RELIEF AND QUALITY OF LIFE IMPROVEMENT by Gabriel Fernandes Alves JESUS, Monique MICHELS, Emily CÓRNEO, Marina P ROSSETTO, Alexandre J FARACO, Ana Paula PESARICO

“…Participants received either a daily probiotic capsule or an identical placebo made from maltodextrin, provided by Gabbia Biotecnologia Ltda. The randomization process and group assignments were concealed from both participants and investigators. …”
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A Novel Performance Evaluation Framework for OTFS System by Zhenduo Wang, Yijin Wang, Yong Yu, Zihang Zhang, Chunpeng Liu

“…The Analytic Hierarchy Process (AHP) is enhanced through cloud model and optimal transfer matrix, to address the issue of multi-expert collaboration and the repeated consistency checks. …”
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Frequency-specific changes in prefrontal activity associated with maladaptive belief updating in volatile environments in euthymic bipolar disorder by Marina Ivanova, Ksenia Germanova, Dmitry S. Petelin, Aynur Ragimova, Grigory Kopytin, Beatrice A. Volel, Vadim V. Nikulin, Maria Herrojo Ruiz

“…Abstract Bipolar disorder (BD) involves altered reward processing and decision-making, with inconsistencies across studies. …”
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Characterization of Molecular Structure of Bituminous Coal and Anthracite by 13C NMR, FT-IR, Raman and Modeling Techniques by LI Yuanji, DAI Chengxin, MENG Shangjiu, ZHANG Baoyong, ZHANG Qiang

“…Two molecular structure models were established by computer-aided molecular design. [Finding] The results show that with the progress of coalification, the loss rate of methylene is faster than that of methyl in the process of bituminous coal to anthracite, the aromaticity is enhanced, the aliphatic chain of aromatic ring becomes shorter and the degree of branching is higher, the oxygen-containing functional groups is gradually reduced, the crystallinity of coal is enhanced, and the chemical structure of coal tends to be mature and stable. …”
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