Dynamical Characteristics of Isolated Donors, Acceptors, and Complex Defect Centers in Novel ZnO by Devki N. Talwar, Piotr Becla

“…Despite earlier evidence of attaining p-type wz ZnO with N doping, the problem persists in achieving reproducible p-type conductivity. …”
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Physicochemical properties and biological activity of extracts of dried biomass of callus and suspension cells and in vitro root cultures by Yong Yang, Asyakina Lyudmila K., Babich Olga O., Dyshlyuk Lyubov S., Sukhikh Stanislav A., Popov Alexander D., Kostyushina Nina V.

“…Introduction. One of the urgent problems of medicine and biology is the use of plant objects as industrial producers of target metabolites in vitro. …”
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Crop-Free-Ridge Navigation Line Recognition Based on the Lightweight Structure Improvement of YOLOv8 by Runyi Lv, Jianping Hu, Tengfei Zhang, Xinxin Chen, Wei Liu

“…First, this method reduces the parameters and computational complexity of the model by replacing the YOLOv8 backbone network with MobileNetV4 and the feature extraction module C2f with ShuffleNetV2, thereby improving the real-time segmentation of crop-free ridges. …”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Abstract With the rapid increase of users over social media, cyberbullying, and hate speech problems have arisen over the past years. Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). …”
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An appraisal of backscatter removal and refraction calibration models for improving the performance of vision-based mapping and navigation in shallow underwater environments by Fickrie Muhammad, Poerbandono, Harald Sternberg, Eka Djunarsjah, Hasanuddin Z Abidin

“…The research shows efficient backscatter removal improves feature detection robustness, especially in murky water conditions. …”
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Hybrid convolutional neural network and bi-LSTM model with EfficientNet-B0 for high-accuracy breast cancer detection and classification by Umesh Kumar Lilhore, Yogesh Kumar Sharma, Brajesh Kumar Shukla, Muniraju Naidu Vadlamudi, Sarita Simaiya, Roobaea Alroobaea, Majed Alsafyani, Abdullah M. Baqasah

“…Abstract Breast cancer detection remains one of the most challenging problems in medical imaging. We propose a novel hybrid model that integrates Convolutional Neural Networks (CNNs), Bidirectional Long Short-Term Memory (Bi-LSTM) networks, and EfficientNet-B0, a pre-trained model. …”
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Unified estimation of rice canopy leaf area index over multiple periods based on UAV multispectral imagery and deep learning by Haixia Li, Qian Li, Chunlai Yu, Shanjun Luo

“…The results showed that the CNN model based on five-band reflectance images (490, 550, 670, 720, and 850 nm) as input after feature screening exhibited high estimation accuracy at different growth stages. …”
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Equitable post-disaster relief distribution: a robust multi-objective multi-stage optimization approach by Sogand Soghrati Ghasbeh, Nadia Pourmohammadzia, Masoud Rabbani

“…Research limitations/implications – In this paper, the uncertain nature of some key features of the relief operations problem is not discussed. …”
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EBV mononucleosis in children in modern conditions by J. K. Hakizimana, V. N. Timchenko, M. A. Shakmaeva, T. A. Kaplina, M. D. Subbotina, S. L. Bannova, A. V. Fedorova, V. F. Sukhovetskaya, E. B. Pavlova, N. V. Pavlova

“…EBV-mononucleosis is a widespread infectious disease, and also it is an urgent problem of the whole world. The purpose of the research was to study the clinical and laboratory features of EBV-mononucleosis in hospitalized children of different ages in modern conditions. …”
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Improving medical image classification based on Boosted Beluga Whale Optimizer with Triangular Mutation and Cross Vision transformer models by Abdelghani Dahou, Mohamed Abd Elaziz, Ahmad O. Aseeri, Ahmed A. Ewees, Mohammed A.A. Al-qaness, Rehab Ali Ibrahim

“…In this study, we introduce a framework for medical image classification that combines deep learning models with modified Beluga Whale Optimization as a feature selection technique. Our approach utilizes a feature extraction technique called CrossViT, a vision transformer model architecture design of ViT. …”
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Survival of patients with bilateral renal cell cancer after nephro-preserving surgery by F. S. Ashyrova, A. S. Kalpinskiy, N. V. Vorobyev, A. D. Kaprin

“…Despite the increase in the number of cases of bilateral RCC, the number of works devoted to the study of the features of surgical intervention, prognosis factors, treatment outcomes and survival of this cohort of patients is limited, and a number of important questions regarding this problem remain unresolved. …”
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Research on rolling bearing compound fault diagnosis based on AMOMCKD and convolutional neural network by Runfang Hao, Yunpeng Bai, Kun Yang, Yongqiang Cheng, Shengjun Chang

“…Abstract Due to the uncertainty existing in the actual industrial environment, the rolling bearing compound fault features present coupling and complexity, which brings challenges to the compound fault feature extraction. …”
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Li-Ion Battery State of Health Estimation Based on Short Random Charging Segment and Improved Long Short-Term Memory by Aina Tian, Zhe Chen, Zhuangzhuang Pan, Chen Yang, Yuqin Wang, Kailang Dong, Yang Gao, Jiuchun Jiang

“…In this paper, the charging curve is first divided into several equal voltage difference segments based on charging segment voltage difference ΔV in order to solve the random charging segment problem. Time interval of equal charge voltage difference of the voltage curve, coefficient of variation and euclidean distance of the charging capacity difference curve are extracted as health features. …”
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Hormone-producing Ovarian Tumors in Children. Literature Review by Elena V. Sibirskaya, Irina V. Karachentsova, Angelina A. Sysoeva, Mariia Yu. Chernysheva, Kristina A. Osmanova, Evgenia G. Kotikova

“…Hormone-producing ovarian tumors in girls are an actual problem in modern gynecology, which is associated with certain difficulties in managing patients. …”
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Geotourism in Monogenetic Volcanoes: The Case of Tapias-Guacaica Monogenetic Volcanic Field in Colombia by Alejandro Arias-Díaz, Erika Ibargüen-Angulo, Hugo Murcia, Susana Osorio-Ocampo, Gina Bolaños-Cabrera, Luis Alvaro Botero-Gómez, Ana Riascos-Hurtado

“…Using Brilha’s evaluation framework, this study assessed eight volcanic features and one industrial site, identifying La Capilla volcano and the Cementos Caldas ruins as having the highest scientific, educational, and touristic value. …”
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A Knowledge-Based Strategy for Interpretation of SWIR Hyperspectral Images of Rocks by Frank J. A. van Ruitenbeek, Wim H. Bakker, Harald M. A. van der Werff, Christoph A. Hecker, Kim A. A. Hein, Wijnand van Eijndthoven

“…We developed an innovative, knowledge-based strategy to perform mineralogical analyses and create classifications that overcome this problem by using physics-based wavelength positions of absorption features that are invariant between scenes as the main sources of mineral information. …”
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Evaluation the root canal shape among residents of Moscow region using cone beam computed tomography scanning by Svetlana Razumova, Anzhela Brago, Haydar Barakat, Ashot Manvelyan, Zoya Guryeva, Elvira Adzhieva, Nikolay Razumov

“…Abstract The aim of this study was to evaluate the features of the root canals cross-sectional shape at the coronal, middle, and apical levels using cone beam computed tomography (CBCT) among residents of Moscow region. …”
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A Dual-Module System for Copyright-Free Image Recommendation and Infringement Detection in Educational Materials by Yeongha Kim, Soyeon Kim, Seonghyun Min, Youngung Han, Ohyoung Lee, Wongyum Kim

“…However, unauthorized use of images frequently results in legal issues related to copyright infringement. To mitigate this problem, we introduce a dual-module system specifically designed for educators. …”
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Incidence of acute intestinal infections in Saint Petersburg during COVID-19 pandemic by T. V. Potapova, K. D. Ermolenko, A. V. Kholin, A. V. Stalevskaya, S. A. Gordeeva, I. V. Razdyakonova

“…An increase in the incidence of salmonellosis in 2019 by 25.7% is shown, which is higher than the average long-term incidence rate by 28.1%. Age features of the incidence of viral and bacterial intestinal infections among children have been established. …”
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Robot relocation based on residual networks and iterative closest point by WANG Gaoping, SHI Binbin, WANG Licheng, SONG Dongya, JIA Xuefang

“…A mobile robot relocation algorithm based on ResNet was proposed to solve the problem of positioning loss caused by robot kidnapping and system failure restart. …”
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