MODERN APPROACHES TO THE THERAPY OF VIRAL PAPILLOMA SKIN INFECTION IN INFANCY by L.K. Aslamazian, L.S. Namazova, L.P. Mazitova

“…No backset of a disease detected. In general, the findings of the research pointed out the high efficiency of topical and systemic Viferon medications, as well as combination method of verruca removal in complex treatment of viral papilloma skin infection among the children.Key words: interferon status of children, interferon al'fa 2b, verrucas, viral papilloma infection.…”
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Experimental modeling of the relationship between adhesion and friction forces in assessing the stickiness of materials by Grigorev P.A., Sladkova L.A.

“…For ground-based transport and technological complexes, soil sticking is characteristic of the surfaces of the working bodies of earthmoving and agricultural machines, conveyor belts, walls of mixing plants, etc. …”
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基于刀具实际廓形的数控加工刀具轨迹计算 by 段振云, 王君, 赵文辉

“…Put forward taking advantage of the actual tool profile. To machine the complex surface,usege of the actual tool profile is put forward. …”
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Research on 3D Path Optimization for an Inspection Micro-Robot in Oil-Immersed Transformers Based on a Hybrid Algorithm by Junji Feng, Xinghua Liu, Hongxin Ji, Chun He, Liqing Liu

“…This integrated strategy ensures robust circumvention of complex 3D obstacles while maintaining path efficiency. …”
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Transparent memory testing based on dual address sequences by V. N. Yarmolik, I. Mrozek, V. A. Levantsevich, D. V. Demenkovets

“…There are two new non-destructive tests of memory devices March_2A_1 and March_2A_2 and an estimation of their time complexity and efficiency of failure detection are given. …”
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Comparison of Semidefinite Relaxation Detectors for High-Order Modulation MIMO Systems by Z. Y. Shao, S. W. Cheung, T. I. Yuk

“…Multiple-input multiple-output (MIMO) system is considered to be one of the key technologies of LTE since it achieves requirements of high throughput and spectral efficiency. The semidefinite relaxation (SDR) detection for MIMO systems is an attractive alternative to the optimum maximum likelihood (ML) decoding because it is very computationally efficient. …”
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Development of a Collision-Free Path Planning Method for a 6-DoF Orchard Harvesting Manipulator Using RGB-D Camera and Bi-RRT Algorithm by Zifu Liu, Rizky Mulya Sampurno, R. M. Rasika D. Abeyrathna, Victor Massaki Nakaguchi, Tofael Ahamed

“…With the decreasing and aging agricultural workforce, fruit harvesting robots equipped with higher degrees of freedom (DoF) manipulators are seen as a promising solution for performing harvesting operations in unstructured and complex orchard environments. In such a complex environment, guiding the end-effector from its starting position to the target fruit while avoiding obstacles poses a significant challenge for path planning in automatic harvesting. …”
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Interleukin-15 and cancer: some solved and many unsolved questions by Gabriella Pietra, Lorenzo Moretta, Nicola Tumino, Piera Filomena Fiore, Sabina Di Matteo, Francesca Romana Mariotti, Selene Ottonello, Simone Negrini, Barbara Bottazzi, Erwan Mortier, Bruno Azzarone

“…In cancer, the overproduction of sIL-15/IL-15Rα could represent a novel mechanism of immune escape. The soluble complex may act as a decoy cytokine unable to efficiently foster NK cells, or could induce NK hyporesponsiveness through an excessive and prolonged stimulation depending on the type of IL-15Rα isoforms associated. …”
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A review of eDNA technology in avian monitoring: Current status, challenges and future perspectives by Ying Ke, Tong Liu, Chenglong Han, Xue Yu, Jinmei Wang, Laixing Ding, Hongliang Pan, Xunqiang Mo, Xueqiang Lu

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A Node Generation and Refinement Algorithm in Meshless RPIM for Electromagnetic Analysis of Sensors by Zihao Li, Siguang An, Guoping Zou, Jianqiang Han

“…One popular method for electromagnetic field computation is the meshless radial point interpolation method (RPIM), where the number and distribution of nodes are critical to ensuring both accuracy and efficiency. However, traditional RPIM methods often face challenges in achieving stable and precise results, particularly in complex electromagnetic environments. …”
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Overview of Robotic Applications in Biomedical Domain by Muthukaruppan VINAITHEERTHAN

“…Soft robots play a crucial role in diagnosing diseases, detecting tumors, and delivering drugs inside the human body. …”
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Application of double-error correction codes to protect configuration programmable logic memory against space radiation by E. S. Lepeshkina, N. D. Kustov, V. K. Khanov

“…Due to the known SEC-DED-DAEC codes having a non-zero probability of erroneous detection and subsequent erroneous correction of a double non-adjacent error, as well as various redundancy and implementation complexities, a study was made of the most efficient code for internal scrubbing.Results. …”
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Transforming Manufacturing Quality Management with Cognitive Twins: A Data-Driven, Predictive Approach to Real-Time Optimization of Quality by Asif Ullah, Muhammad Younas, Mohd Shahneel Saharudin

“…In the ever-changing world of modern manufacturing, maintaining product quality is of great importance, yet extremely difficult due to complexities and the dynamic production paradigm. Currently, quality is rather reactively measured through periodic inspections and manual assessments. …”
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Cardiovascular risk profile in patients with arterial hypertension who first seek medical attention by D. V. Nebieridze, T. V. Kamyshova, A. A. Sarycheva, A. S. Safaryan

“…After the risk assessment, all patients underwent an echo-cardiography, duplex ultrasonography screening of the brachiocephalic arteries and determination of microalbuminuria to detect target organ damage. According to results of a complex survey, the risk was reclassified based on the presence of target organ damage.Results. …”
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Single or multiple arterial grafting to design a coronary bypass: a retrospective study by A. V. Frolov, N. I. Zagorodnikov, R. S. Tarasov, E. V. Grigoriev

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A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…However, in real-world industrial applications, the intricate interplay among data quality, model accuracy, and generalizability poses significant challenges, hindering the effective deployment and scalability of data-driven models in complex manufacturing environments. To address this challenge, this paper proposes a universal Physics-informed Hybrid Optimization framework for Efficient Neural Intelligence (PHOENIX) in manufacturing, demonstrating its applicability in robotic welding scenarios. …”
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Abstract Accurate vulnerability prediction is crucial for identifying potential security risks in software, especially in the context of imbalanced and complex real-world datasets. Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. …”
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Event-Triggered Impulsive Formation Control for Cooperative Obstacle Avoidance of UAV Swarms in Tunnel Environments by Rui Hao, Wenjie Zhou, Yuanfan Wang, Yuehao Yan

“…This paper proposes a cooperative obstacle avoidance strategy for UAV formation based on adaptive event-triggered impulse control, achieving efficient navigation under limited resources. The strategy comprises four key modules: an adaptive event-triggering mechanism, optical flow-based obstacle detection, leader–follower formation structure, and dynamic communication topology management. …”
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Fault Diagnosis in a Four-Arm Delta Robot Based on Wavelet Scattering Networks and Artificial Intelligence Techniques by Claudio Urrea, Carlos Domínguez

“…Results indicate that a WNN, using wavelet scattering features ranked by one-way anova, is optimal due to its consistency and reliability, while these features enhance computational efficiency by reducing classifier size. Sensitivity analysis demonstrates the classifier’s capacity to detect untrained faults, highlighting the importance of effective feature extraction and classification methods for fault diagnosis in complex robotic systems. …”
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Research and Experiment on a Chickweed Identification Model Based on Improved YOLOv5s by Hong Yu, Jie Zhao, Xiaobo Xi, Yongbo Li, Ying Zhao

“…This research can provide theoretical and technical support for efficient identification of weeds in complex field environments.…”
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