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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Synovial fluid genexpert quietus diagnostic jostle – A case report and algorithmic approach to monoarthritis by Prajna Karki, Ramyasri Kodali, Vineeta shobha

“…Xpert® MTB/RIF (Xpert) is a rapid, automated, nucleic acid amplification assay, recommended by the World Health Organization for the simultaneous detection of MTB complex and rifampicin resistance. …”
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Study on Tracking Real-Time Target Human Using Deep Learning for High Accuracy by Van-Truong Nguyen, Duc-Tuan Chu

“…First, real-time human detection is performed by the combination of MobileNet-v2 and single-shot multibox detector (SSD). …”
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…The purpose was to find an optimal combination of methods and group of features for stress detection in human speech. The research contribution lies in the design of the speech emotion recognition system due to its accuracy and efficiency.…”
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Correction of Wavefront Distortion in Common Aperture Optical Systems Based on Freeform Lens by Jiadong Yu, Xianglong Mao

“…The common aperture optical system enhances light utilization efficiency during the imaging process by utilizing a single shared aperture. …”
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Uses of Molecular Docking Simulations in Elucidating Synergistic, Additive, and/or Multi-Target (SAM) Effects of Herbal Medicines by Sean P. Rigby

“…The aim of this work was to review the uses of molecular-docking simulations in the detection and/or elucidation of SAM effects with herbal medicines. …”
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Design and Calibration of Electron Stack Spectrometer for Diagnosing Hot Electron Temperature in Intense Laser-plasma Interactions by BO Nan1, 2, TIAN Baoxian2, WANG Haoran3, 4, WANG Naiyan2

“…Unlike prior studies that assumed identical response coefficients for electrons and gamma rays, this work highlights potential differences in coefficients. …”
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On-site quantitative analysis of As(III) and As(V) in aqueous phase using portable laser-induced fluorescence platform by Lixia Feng, Qilong Bian, Shujun Wu, Tianyu Gao, Pei Zhang, Shujian Dai, Zebing Zeng, Sheng Xie

“…Here, a fluorogenic method is developed for the efficient detection of arsenite and arsenate ions using a portable platform directly in an aqueous phase. …”
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An antifouling polydopamine-based fluorescent aptasensor for determination of arginine kinase by Yanbo Wang, Huan Li, Jinru Zhou, Fangting Wang, Yifan Qian, Linglin Fu

“…Simple yet efficient detection methods for food allergens are in urgent need to help people avoid the risks imposed by allergenic food. …”
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Role of the functional status of the autonomic nervous system in the clinical course of purulent meningitis by D. A. Zadiraka, O. V. Ryabokon

“…Research aim: to increase the autonomic dysfunction diagnostics efficiency for patients suffering from purulent meningitis in the disease dynamics based on the complex of clinical evidence and functional status of autonomic nervous system. …”
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Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset by Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

“…To the best of our knowledge, this performance surpasses previous studies in the field, highlighting a notable enhancement in ASD detection from fMRI data. Furthermore, the FL-based Q-CNN model demonstrated robust performance and high efficiency on a Raspberry Pi 4, underscoring its potential for real-world applications. …”
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A nanolevel sustainable fluorometric approach employing Eosin Y, a biological dye, as an innovative quenching-based biochemical sensor for linagliptin determination by Mohamed A. El Hamd, Badriah Saad Al-Farhan, Safaa F. Saleh, Wael A. Mahdi, Sultan Alshehri, Bandar R. Alsehli, Ahmed Abdulhafez Hamad

“…The method demonstrated exceptional analytical parameters, including limits of detection and quantification set at 23.3 ng mL-1 and 70.7 ng mL-1, respectively, within a calibration range spanning 100.0–1400.0 ng mL-1. …”
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Biocompatible bright orange emissive carbon dots: Multifunctional nanoprobes for highly specific sensing toxic Cr(VI) ions and mitochondrial targeting cancer cell imaging by Ramar Rajamanikandan, D.S. Prabakaran, Kandasamy Sasikumar, Joo Seon Seok, Gyeongchan Lee, Heongkyu Ju

“…The established fluorescence-based sensing technique could serve for Cr(VI) ion quantification with exceptional sensing efficiency in the wide linear range of 7 to 70 μM (R2 = 0.9873), with the limit of detection of 53.5 nM. …”
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Spatially Resolved Multiomics: Data Analysis from Monoomics to Multiomics by Changxiang Huan, Jinze Li, Yingxue Li, Shasha Zhao, Qi Yang, Zhiqi Zhang, Chuanyu Li, Shuli Li, Zhen Guo, Jia Yao, Wei Zhang, Lianqun Zhou

“…Moreover, the spatial resolution, high-throughput detection capability, capture efficiency, and compatibility with various sample types of omics technology have considerably advanced. …”
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Frequency-comb-referenced multiwavelength interferometry for high-precision and high-speed 3D measurement in heterogeneous semiconductor packaging by Park Jun Hyung, Kim Dae Hee, Chu Huy Hoang, Hahm Ji Won, Kang Guseon, Lee Dongil, Song Seyong, Kang Mingu, Kim Seung-Woo, Kim Young-Jin

“…As 2.5D/3D packaging architectures become increasingly complex, our approach will readily meet the critical industrial demands for high-precision and high-speed measurement of multiscale features in advanced semiconductor packaging.…”
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