A Novel Method for 3D Lung Tumor Reconstruction Using Generative Models by Hamidreza Najafi, Kimia Savoji, Marzieh Mirzaeibonehkhater, Seyed Vahid Moravvej, Roohallah Alizadehsani, Siamak Pedrammehr

“…We introduce a second GAN model with a novel loss function that significantly improves tumor detection accuracy. …”
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Towards precision agriculture tea leaf disease detection using CNNs and image processing by Irfan Sadiq Rahat, Hritwik Ghosh, Suresh Dara, Shashi Kant

“…Abstract In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task of classifying common diseases in tea leaves, leveraging advanced image analysis techniques. …”
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Current state of plantations of state protective forest strips and problems of protective afforestation in the south of Western Siberia by Alexander S. Manaenkov, Polina M. Podhayetskaya, Valery N. Petrov

“…On the territory of the steppe low-forest areas of Western Siberia, plantations of state protective forest strips perform an important ecological, social, organizational and economic function. They have reached the age of 52-63 years, in some places they have disintegrated or are losing viability, in some places they are successfully developing and, in general, have great cognitive value for the development of protective afforestation. …”
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Integrating convolutional neural networks for microscopic image analysis in acute lymphoblastic leukemia classification: A deep learning approach for enhanced diagnostic precision by Md. Samiul Alim, Suborno Deb Bappon, Shahriar Mahmud Sabuj, Md Jayedul Islam, M. Masud Tarek, Md. Shafiul Azam, Md. Monirul Islam

“…Leukemia is a type of cancer characterized by the exponential growth of abnormal blood cells, which damages white blood cells and disrupts the function of the human body’s bone marrow. It is very challenging to classify because blood smear images are complicated, and there is a lot of variation between each class. …”
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The Robust Vessel Segmentation and Centerline Extraction: One-Stage Deep Learning Approach by Rostislav Epifanov, Yana Fedotova, Savely Dyachuk, Alexandr Gostev, Andrei Karpenko, Rustam Mullyadzhanov

“…We designed a hybrid architecture that integrates convolutional and graph layers, along with a task-specific loss function, to effectively capture the topological relationships between segmentation and centerline extraction, leveraging their complementary features. …”
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ENSURING STATE SOVEREIGNTY AS A GUARANTEE OF THE COUNTRY'S ECONOMIC DEVELOPMENT by Iryna Drobush, Liudmila Kornuta, Mykola Ukrainets

“…The multifaceted, multifactorial and multifunctional nature of the phenomena of state sovereignty and economic security necessitates the use of a systematic, structural-functional and situational approach to their study. …”
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A Domain-Specific Pretrained Model for Detecting Malignant and Premalignant Ocular Surface Tumors: A Multicenter Model Development and Evaluation Study by Zhongwen Li, Yangyang Wang, Wei Qiang, Xuefang Wu, Yanyan Zhang, Yiyuan Gu, Kuan Chen, Donghua Qi, Liheng Xiu, Yunduan Sun, Daoyuan Li, Yahui Xi, Shiqi Yin, Feng Wen, Mingmin Zhu, Yi Shao, Jiewei Jiang, Wei Chen, Guohai Wu

“…Our proposed model has high potential to enhance the early detection and treatment of malignant and premalignant OSTs, thereby reducing cancer-related mortality and optimizing functional outcomes.…”
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Machine Learning Based Localization of LoRa Mobile Wireless Nodes Using a Novel Sectorization Method by Madiyar Nurgaliyev, Askhat Bolatbek, Batyrbek Zholamanov, Ahmet Saymbetov, Kymbat Kopbay, Evan Yershov, Sayat Orynbassar, Gulbakhar Dosymbetova, Ainur Kapparova, Nurzhigit Kuttybay, Nursultan Koshkarbay

“…Indoor localization of wireless nodes is a relevant task for wireless sensor networks with mobile nodes using mobile robots. …”
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Effects of different types of high-definition transcranial electrical stimulation on visual working memory and contralateral delayed activity by Yinan Ai, Mingyu Yin, Liying Zhang, Haojie Hu, Haiqing Zheng, Wuwei Feng, Yixuan Ku, Xiquan Hu

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VNS paired with training enhances recognition memory: mechanistic insights from proteomic analysis of the hippocampal synapse by Seung H. Jung, Seung H. Jung, Laura K. Olsen, Laura K. Olsen, Krysten A. Jones, Krysten A. Jones, Raquel J. Moore, Raquel J. Moore, Sean W. Harshman, Candice N. Hatcher-Solis

“…Vagus nerve stimulation (VNS) is a neuromodulation therapy with the potential to improve cognitive function. This study investigated the effectiveness of multiple sessions of VNS to enhance recognition memory in healthy rodents and the underlying cognitive benefits of VNS by proteomic analysis of the synaptosome.MethodsRats demonstrated VNS-induced recognition memory improvements using a novel object recognition (NOR) task. …”
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Control of Soft Wearable Robots for Elbow Assistance and Rehabilitation: A Simplified Solution Using Disturbance Observer and Nonsmooth Feedback by Jiajin Wang, Baoguo Xu, Xin Wang, Jianwei Lai, Xiangshan Wei, Zishuo Zhao, Ye Lu, Ying Shen, Hongxing Wang, Aiguo Song

“…Human trials involving 8 healthy subjects and 7 stroke patients demonstrate that our method enhances task performance, reduces muscle strain during elbow assistance scenarios, and significantly improves elbow motor function in rehabilitation training.…”
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Rational design of FVIII sialylated peptides to target Siglec-3 and Siglec-9 and improve peptide formulations for reverse vaccines by Eleonora Nardini, Eleonora Nardini, Brigitte-Carole Keumatio Doungstop, Brigitte-Carole Keumatio Doungstop, Tania Gerpe-Amor, Aram M. de Haas, Aram M. de Haas, Mike de Kok, Evert Peterse, Evert Peterse, Hakan Kalay, Rui-Jún E. Li, Fabrizio Chiodo, Fabrizio Chiodo, Fabrizio Chiodo, Alba Silipo, Jan Voorberg, Yvette van Kooyk, Yvette van Kooyk, Yvette van Kooyk

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Hip and Knee Joint Angles Determine Fatigue Onset during Quadriceps Neuromuscular Electrical Stimulation by Jonathan Galvão Tenório Cavalcante, Álvaro de Almeida Ventura, Leandro Gomes de Jesus Ferreira, Alessandra Martins Melo de Sousa, Ivo Vieira de Sousa Neto, Rita de Cássia Marqueti, Nicolas Babault, João Luiz Quagliotti Durigan

“…These results provide a rationale for lower limb positioning during NMES, which depends on training objectives, e.g., strengthening or task-specific functionality training.…”
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Pedagogical support for professional self-determination of high school students in IT professions by E. K. Khenner

“…It is shown that the main reasons for the low level of formation of the professional self-determination of high school students in the IT profession are the following factors: insufficient attention paid in the school Computer Science course to the technological aspects that underlie most of the IT professions; lack of awareness of labour functions in IT professions; lack of awareness of the content of training in various areas of higher IT education and the focus of these areas on specific IT professions; ignorance of the real demand for the country’s economy in various IT professions.The school course in Computer Science can become a system-forming beginning in the formation of professional self-determination of high school students in the IT profession, but in its current state, it does not fully fulfill this function. …”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…Adam showed the best results in terms of accuracy, while the MSE loss function (mean square error) was used together with the optimizer. …”
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Performance of the digital trail making test in older adults with white matter lesions by Xinjun Shan, Le Tian, Hongyi Zhao, Hongyi Zhao, Xiuli Zhao, Fangyuan Wei

“…Multiple neuropsychological assessments were carried out to assess cognitive function. The Purdue Pegboard Test (PPT) was used to display the unimanual dexterity (dominant hand task) and fine motor control (assembly task). …”
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WSDC-ViT: a novel transformer network for pneumonia image classification based on windows scalable attention and dynamic rectified linear unit convolutional modules by Yu Gu, Haotian Bai, Meng Chen, Lidong Yang, Baohua Zhang, Jing Wang, Xiaoqi Lu, Jianjun Li, Xin Liu, Dahua Yu, Ying Zhao, Siyuan Tang, Qun He

“…Abstract Accurate differential diagnosis of pneumonia remains a challenging task, as different types of pneumonia require distinct treatment strategies. …”
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Research on soybean leaf disease recognition in natural environment based on improved Yolov8 by Chen Chen, Chen Chen, Xiaolei Lu, Lei He, Lei He, Ruoxue Xu, Ruoxue Xu, Yi Yang, Yi Yang, Jing Qiu, Jing Qiu

“…Lastly, the WIoUv3 loss function is employed to place greater emphasis on small targets and moderate-quality samples, thereby enhancing detection precision. …”
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Sequential consumption of sauce- and elegant-flavor baijiu enhances post-drinking comfort: a randomized crossover study in Guangdong, China by Yu Fu, Jianan Liu, Guoliang He, Shaohui Fan, Deliang Wang, Cheng Wang

“…Positive affect was greater at both time points (p < 0.01), with no change in negative affect.Sequential consumption of sauce-flavor followed by elegant-flavor baijiu appears to accelerate alcohol elimination, enhance executive function, and promote positive emotional recovery. …”
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Effects of different exercise modalities on balance performance in healthy older adults: a systematic review and network meta-analysis of randomized controlled trials by Shikun Zhang, Guoping Qian, Hong Xu, Meiling Gu, Sujie Mao, Yan’an Wang, Yuqing Zhang, Wensheng Zhou

“…The network meta-analysis showed that, for improving BBS, augmented reality-based training (AR), aquatic exercise, balance training (BT), comprehensive training (CT), Exergame, functional training, and Otago were significantly more effective than the control group. …”
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