Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…ARU-Net mainly uses the methods of integrating the Convolutional Block Attention Modules (CBAM) and Squeeze-and-Excitation (SE) blocks, adding a regression-based output layer to generate continuous probability maps, which further focuses on feature recalibration and heterogeneity adaptation to tumour regions. …”
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A novel lightweight YOLOv8-PSS model for obstacle detection on the path of unmanned agricultural vehicles by Zhijian Chen, Yijun Fang, Jianjun Yin, Shiyu Lv, Farhan Sheikh Muhammad, Lu Liu

“…IntroductionThe rapid urbanization of rural regions, along with an aging population, has resulted in a substantial manpower scarcity for agricultural output, necessitating the urgent development of highly intelligent and accurate agricultural equipment technologies.MethodsThis research introduces YOLOv8-PSS, an enhanced lightweight obstacle detection model, to increase the effectiveness and safety of unmanned agricultural robots in intricate field situations. …”
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Effects of weight loss after sleeve gastrectomy on left ventricular myocardial work in obese patients by Xiao Ding, Xijun Zhang, Jingge Zhao, Changhua Wei, Shuaiwei Luo, Jianjun Yuan, Haohui Zhu

“…Weight loss after LSG can improve left ventricular myocardial work efficiency, and the associated parameter changes are related to cardiac structure, offering new clinical references.…”
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Development and Comparison of Interrupt-Based and Analog-to-Digital Converter Algorithms for Seed Counting in Precision Planters by A. Ghaffarnezhad, H. Navid, H. Karimi

“…Each research initiative aims to address specific challenges associated with these sensors, with the overarching goal of facilitating effective commercialization, optimizing resource use, and minimizing waste.Materials and MethodsTwo distinct algorithms, utilizing analog-to-digital converter and interrupt-based methodologies, were meticulously developed and thoroughly evaluated to determine the more effective method for monitoring. …”
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Adapting Classification Neural Network Architectures for Medical Image Segmentation Using Explainable AI by Arturs Nikulins, Edgars Edelmers, Kaspars Sudars, Inese Polaka

“…A ResNet classification neural network was trained, and XAI tools were applied to generate segmentation-like outputs. Our findings reveal that GuidedBackprop is among the most efficient and effective methods, producing heatmaps that closely resemble segmentation masks by accurately highlighting the entirety of the target object.…”
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Research on the Power Generation Performance of Solid–Liquid Triboelectric Nanogenerator Based on Surface Microstructure Modification by Wei Wang, Ge Chen, Jin Yan, Gaoyong Zhang, Zihao Weng, Xianzhang Wang, Hongchen Pang, Lijun Wang, Dapeng Zhang

“…When these thresholds are surpassed, the percolation of current induced by material doping and electrostatic breakdown (EB) triggered by surface modification can lead to a notable decline in the power output capacity of L-S TENGs. Consequently, in practical applications moving forward, fully realizing the synergistic potential of these methods necessitates a profound understanding of the underlying scientific mechanisms. …”
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Aspect-Based Sentiment Analysis Through Graph Convolutional Networks and Joint Task Learning by Hongyu Han, Shengjie Wang, Baojun Qiao, Lanxue Dang, Xiaomei Zou, Hui Xue, Yingqi Wang

“…The proposed model utilizes dependency trees combined with self-attention mechanisms to generate new weight matrices, emphasizing the locational information of aspect terms, and optimizes the graph convolutional network (GCN) to extract aspect terms more efficiently. Furthermore, the model employs the multi-head attention (MHA) mechanism to process input data and uses its output as the input to the GCN. …”
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YOLOv8 forestry pest recognition based on improved re-parametric convolution by Lina Zhang, Shengpeng Yu, Bo Yang, Shuai Zhao, Ziyi Huang, Zhiyin Yang, Helong Yu

“…Traditional pest detection methods are often inefficient and inaccurate in complex environments, posing significant challenges for effective pest management. …”
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Cross language transformation of free text into structured lobectomy surgical records from a multi center study by Xiongwen Yang, Yi Xiao, Di Liu, Huiyin Deng, Jian Huang, Yubin Zhou, Chuanzhou Dai, Jun Wu, Dan Liu, Maoli Liang, Chuan Xu

“…Experts reviewed the AI’s output, assessing it on accuracy, precision, recall, and F1 scores. …”
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SSCM: An Unambiguous Acquisition Algorithm for CBOC Modulated Signal by Yongxin Feng, Shunchao Fei, Fang Liu, Bo Qian

“…Usually, the acquisition method for BOC(1,1) signal is used to capture CBOC signal, while the research of special acquisition method for CBOC signal is rare. …”
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Leveraging Big Data for Economic Stability: A Dashboard for ASEAN's Future Growth by Norfiza Ibrahim, Nurul Athirah Aziz, Azmi Abu Seman, Nadia Abdul Wahab, Aznoora Osman, Siti Sarah Md Ilyas

“…The present dashboard only displays the inflation rate and excludes other essential economic indicators such as total economic output, current GDP rate, currency rates, and unemployment rate. …”
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Optimal Sizing, Techno-Economic Feasibility and Reliability Analysis of Hybrid Renewable Energy System: A Systematic Review of Energy Storage Systems’ Integration by Akhlaque Ahmad Khan, Ahmad Faiz Minai, Rakesh Kumar Godi, Vijay Shankar Sharma, Hasmat Malik, Asyraf Afthanorhan

“…Improving dependability and smoothing down power output are two major benefits of ESS integration. …”
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Role of large language models in mental health research: an international survey of researchers’ practices and perspectives by John Torous, Zoë McClure, Jake Linardon, Mariel Messer, Cleo Anderson, Claudia Liu, Hannah K. Jarman, Simon B. Goldberg

“…Common challenges reported by users included inaccurate responses (78%), ethical concerns (48%) and biased outputs (27%). However, many users indicated that LLMs improved efficiency (73%) and output quality (44%). …”
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Neural network-based segmentation model for breast cancer X-ray screening by N. I. Rozhkova, P. G. Roitberg, A. A. Varfolomeeva, M. M. Mazo, A. N. Dobrenkii, D. S. Blinov, E. V. Sushkov, O. N. Deryabina, A. I. Sokolov

“…To develop segmentation neural network model for breast plain radiographs analysis with subsequent study of its clinical effectiveness. Materials and methods. The artificial intelligence-based system was developed to analyze X-ray mammography, аnd included a segmentation neural network with the U-Net architecture, a classification neural architecture ResNet50 with outputting the result using gradient boosting. 15486 X-ray cases were used for training, estimation of diagnostic accuracy and validation of the developed segmental model. …”
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A Recruiting Maneuver Algorithm in Patients with Early Acute Respiratory Distress Syndrome by D. I. Levikov, D. A. Timashkov, A. Yu. Chervov, A. V. Biryukov, S. N. Dondokov

“…Subjects and methods. The study enrolled 16 patients (14 men and 2 women) aged 46 to 78 years (range 62±5.6 years) with ARDS of various genesis. …”
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Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study by Sun Q, Liu Z, Ding T, Shi C, Hou N, Sun C

“…The average of their subjective scores was used as the target output for the model, which was the mean opinion score (MOS) for image quality. …”
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Physically unclonable functions with controlled propagation delay by V. N. Yarmolik, A. A. Ivaniuk, N. N. Shynkevich

“…The proposed new approach to the construction of physically uncloneable functions, based on the control of signal delay through logical elements, has shown its efficiency and promise. The effect of the influence on the delays of signal propagation through the logic element, both the number of its inputs, along which the input signals change, leading to a change in the output signal, and their composition, is experimentally confirmed. …”
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Disinfection of Surfaces Contaminated with SARS-CoV-2 Coronavirus by UV Radiation of Low-Pressure Mercury-Vapour Lamp by D. N. Masyakin, A. E. Alferov, S. G. Kikot’, I. A. Androshchuk, V. B. Kirillov, S. L. Kirillova, E. A. Koval’chuk, M. A. Kotov, V. А. Lopota, I. G. Rudoy, N. G. Solov’ev, A. M. Soroka, V. V. Trufanova, N. Ya. Chepurenkov, A. N. Shemyakin, M. Yu. Yakimov, S. V. Borisevich

“…The aim of the work was to determine the effective ultraviolet (UV) doses required for the disinfection of surfaces contaminated with the SARS-CoV-2 coronavirus using a low-pressure mercury lamp. Materials and methods. To carry out prompt disinfection of surfaces, a specially designed source of UV radiation with a power of 7.5 W at a wavelength of 254 nm in the form of a portable flashlight was employed, which has a high efficiency of UV radiation output and the possibility of long-term autonomous operation from a compact battery. …”
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Harnessing Switchgrass for Sustainable Energy: Bioethanol Production Processes and Pretreatment Technologies by Hilal Unyay, Nuriye Altınay Perendeci, Piotr Piersa, Szymon Szufa, Agata Skwarczynska-Wojsa

“…This paper investigates bioethanol production from switchgrass, focusing on enhancement of efficiency through various pretreatment methods and comparing two bioethanol production processes: simultaneous saccharification and fermentation (SSF) and separate hydrolysis and fermentation (SHF). …”
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Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…The pilot ensured that the segmentation method was appropriate for the types of variables involved. …”
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