Intelligent Pattern Recognition Using Distributed Fiber Optic Sensors for Smart Environment by Brian Pamukti, Shofuro Afifah, Shien-Kuei Liaw, Jiun-Yu Sung, Daping Chu

“…We propose an innovative interferometric sensing approach utilizing a Mach–Zehnder interferometer (MZI) combined with a time forest neural network (TFNN) for intrusion detection based on signal patterns. This method leverages advanced sensor characterization techniques and deep learning to improve accuracy and efficiency. …”
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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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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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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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A Tensor Space for Multi-View and Multitask Learning Based on Einstein and Hadamard Products: A Case Study on Vehicle Traffic Surveillance Systems by Fernando Hermosillo-Reynoso, Deni Torres-Roman

“…As a case study, we present a multitask model of vehicle traffic surveillance for occlusion detection and vehicle-size classification tasks, with a low-rank MV-DTF layer, achieving up to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>92.81</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>95.10</mn><mo>%</mo></mrow></semantics></math></inline-formula> in the normalized weighted Matthews correlation coefficient metric in individual tasks, representing a significant <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>6</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>7</mn><mo>%</mo></mrow></semantics></math></inline-formula> improvement compared to the single-task single-view models.…”
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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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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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An autonomous navigation method for field phenotyping robot based on ground-air collaboration by Zikang Zhang, Zhengda Li, Meng Yang, Jiale Cui, Yang Shao, Youchun Ding, Wanneng Yang, Wen Qiao, Peng Song

“…Compared with traditional GNSS-based navigation methods and single vision methods, this method shows significant advantages in adapting to the dynamic growth of crops and complex field environments, which not only ensures that the phenotyping robot accurately travels along the crop rows during field operations to avoid damage to the crops, but also provides an efficient and accurate means of data acquisition for crop phenotyping.…”
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The 2015 guidelines for the laboratory diagnosis of rheumatic diseases by the All-Russian Public Organization «Association of Rheumatology of Russia» by E. N. Aleksandrova, A. A. Novikov, E. L. Nasonov

“…The important laboratory markers of RDs are acutephase indicators (erythrocyte sedimentation rate, C-reactive protein, etc.) that can assess the inflammatory activity of the disease, its progression pattern, and prognosis during the chronic inflammatory process, as well as therapeutic efficiency. Other laboratory biomarkers (immunoglobulins, immune complexes, cryoglobulins, complement components, cytokines, endothelial activation markers, lymphocyte subpopulations, genetic markers, bone and cartilage tissue metabolic parameters, etc.) are of less clinical value than autoantibodies and acute inflammatory phase parameters in diagnosing RD.…”
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Maximum Butterfly Generators Search in Bipartite Networks by Jianrong Huang, Guangyao Pang, Fei Hao

“…Particularly, maximum butterfly as a special cohesive subgraph of bipartite graphs, is playing an critical role in many promising application such as recommendation systems and research groups detection. Enumerating maximal butterfly has been proved to be a NP-hard and suffers time and space complexity. …”
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Comparison of Linear and Nonlinear Features of Electroencephalogram to Classify Alcoholic and Non-Alcoholic People by Elizabeth Stewart, Owen Kelly

“…Detecting the presence of alcohol in individuals poses a significant challenge due to the limitations of conventional devices that rely on odor, which is not always reliable. …”
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Defense against Adversarial Attacks in Image Recognition Based on Multilayer Filters by Mingde Wang, Zhijing Liu

“…Although these perturbations are difficult for humans to detect, they can easily mislead deep learning classifiers. …”
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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…This survey article explores the complexities inherent in multiclass classification for breast cancer diagnosis, aiming to improve patient care, efficiency, and timeliness. …”
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Enhanced removal of refractory organic pollutants from high-salinity mining wastewater by E-peroxone process by Anni CHEN, Qiang GUO, Yanying YIN, Jingfeng LI, Yixiang BAO, Min WU, Shizuo YI, Jianbing WANG, Huijiao WANG

“…Further theoretical calculations show that the C4 and C8 sites on the benzene ring of DMP are the dominant reaction sites for •OH attack, and transformation products of this reaction pathway were also detected. For the treatment of practical high-salinity mining wastewater, the E-peroxone process also exhibited the highest organic mineralization efficiency and the lowest energy consumption compared with conventional electrolysis and ozonation. …”
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Deep Learning for Traffic Scene Understanding: A Review by Parya Dolatyabi, Jacob Regan, Mahdi Khodayar

“…It examines fundamental techniques such as classification, object detection, and segmentation, and extends to more advanced applications like action recognition, object tracking, path prediction, scene generation and retrieval, anomaly detection, Image-to-Image Translation (I2IT), and person re-identification (Person Re-ID). …”
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Identifying and Preserving Parathyroid Glands During Thyroid Surgery Using Indocyanine Green and a Review of the Literature by Maziar Motiee‐Langroudi, Athena Farahzadi, Mohammad Shirkhoda, Habibollah Mahmoodzadeh, Ramesh Omranipour, Amirmohsen Jalaeefar, Iraj Harirchi

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Polyethylene oxide matrix tablet swelling evolution: The impact of molecular mass and tablet composition by Draksler Petra, Mikac Urša, Laggner Peter, Paudel Amrit, Janković Biljana

“…Correlations between the percolation threshold and gel thickness (R2 = 0.86), gel thickness and the erosion coefficient (R2 = 0.96) was detected. Furthermore, small-angle X-ray scattering of the selected PEOs detected differences in polymer molecular complexity at the nanoscale. …”
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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…This multi-agent system strengthens both the security and computational efficiency by reducing attack vulnerabilities by 15–18 % and lowering the computational complexity by 20–25 %. …”
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Recent advances in the biosynthesis and production optimization of gentamicin: A critical review by Feng Xu, Kaihao Hu, Ali Mohsin, Jie Wu, Lihuan Su, Yuan Wang, Rong Ben, Hao Gao, Xiwei Tian, Ju Chu

“…Gentamicin, an aminoglycoside antibiotic, is generated by a few species within the genus Micromonospora and has garnered significant attention due to its broad-spectrum efficacy in combating numerous infectious diseases. Comprising a complex array of closely related aminoglycoside compounds, the gentamicin B and C complexes emerge as particularly pertinent in clinical contexts. …”
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