ML-Empowered Microservice Workload Prediction by Dual-Regularized Matrix Factorization by Xiaoxuan Luo, Hong Shen, Wei Ke

“…A technical challenge for workload prediction in microservice systems is how to capture both the dynamic features of workload and evolving dependencies among microservices. …”
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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…For real-time tracking and locomotion pattern analysis, RpiBeh utilizes several novel algorithms and integrated newly developed deep-learning method. …”
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Analysis of the Causes and Conditions for the Formation of a High Incidence of Acute Respiratory Infections in the Population of the Altai Krai (Part 2. Environmental factors, diag... by A. I. Blokh, N. A. Pen'evskaya, N. V. Rudakov, S. V. Shtrek, S. N. Shpynov, O. F. Egorova, Kh. A. Manokhina, D. A. Saveliev, S. Yu. Krasotkina

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Learning Analytics in a Non-Linear Virtual Course by Jhon Mercado, Carlos Mendoza-Cardenas, Luis Fletscher, Natalia Gaviria-Gomez

“…Our approach predicted early student performance, achieving an F1-score of 0.73 at a 20% cumulative weight assessment. Feature importance analysis revealed that performance and behavior were the strongest predictors, while engagement features, such as time spent on educational resources, also played a significant role. …”
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Heat stress induces specific methylation, transcriptomic and metabolic pattern in dairy cows and their female progeny by Kathrin Halli, Tong Yin, Christian Koch, Stefan Krebs, Sven König

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DSRA-UNet-STB: A DUAL-SCALE RESIDUAL ATTENTION U-NET WITH SWIN TRANSFORMER BLOCK FOR BRAIN TUMOR SEGMENTATION by Santhi Appavu, J Sofia Bobby, R Monisha, V Seethalakshmi, V Sabapathi

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Security situational awareness of power information networks based on machine learning algorithms by Chao Wang, Jia-han Dong, Guang-xin Guo, Tian-yu Ren, Xiao-hu Wang, Ming-yu Pan

“…Sample data is initially pre-processed using linear discriminant analysis methods to optimise the data, get integrated features, and ascertain the best projection. …”
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Characterization and Automated Classification of Underwater Acoustic Environments in the Western Black Sea Using Machine Learning Techniques by Maria Emanuela Mihailov

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Advanced neural activity mapping in brain organoids via field potential imaging with ultra-high-density CMOS microelectrode arrays by Remi Yokoi, Naoki Matsuda, Yuto Ishibashi, Ikuro Suzuki

“…In midbrain–striatal assembloids, 4-aminopyridine enhanced interorganoid connectivity.ConclusionThis single-cell-resolved, large-scale recording approach using UHD-CMOS MEAs enables detailed analysis of network connectivity, propagation dynamics, and frequency features. …”
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Overexpression of tRNA m7G modification methyltransferase complex promotes the biosynthesis of triterpene in yeast by Mengyu Ma, Jun Wang, Zhengwei Tan, Zhengwei Tan, Xiqin Liang, Bengui Fan, Lei Li, Lei Li, Huizhen Liang, Huizhen Liang, Tianyue An, Guoli Wang

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Relationship Between Gut Microbiota and the Clinical Course of COVID-19 Disease by Antonija Jonjić, Ivan Dolanc, Goran Slivšek, Luka Bočkor, Marko Tarle, Sanda Mustapić, Marta Kmet, Biserka Orehovec, Paola Kučan Brlić, Maja Cokarić Brdovčak, Ante Obad, Martin Walenta, Ivan Dražić, Lidija Bilić-Zulle, Ivica Lukšić, Neven Bulić, Walter Goessler, Stipan Jonjić, Miran Čoklo, Jurica Žučko

“…Possible early detection of people at increased risk for severe COVID-19 clinical course is extremely important so that appropriate therapy can be initiated promptly to prevent numerous deaths. …”
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Tuning and validation of a virtual mechanical testing pipeline for condylar stress fracture risk assessment in Thoroughbred racehorses by Soroush Irandoust, Chris Whitton, Corinne Henak, Peter Muir

“…The tuned model improved the prediction of strain and predicted higher strain in bones with PSG lysis over the untuned model, which is an essential feature for a diagnostic screening tool. The presented pipeline can assist clinicians with the interpretation of sCT-detectable structural changes and, ultimately, with the assessment of condylar fracture risk in racing Thoroughbreds.…”
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Transient Slope: A Metric for Assessing Heterogeneity from the Dielectrophoresis Spectrum by Emmanuel Egun, Tia Wilson, Zuri A. Rashad, Rominna Valentine, Tayloria N. G. Adams

“…Cellular heterogeneity, an inherent feature of biological systems, plays a critical role in processes such as development, immune response, and disease progression. …”
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Improved chaotic fruit fly optimization with elman neural network based data-driven approach on product reviews classification by Mohammed Alghamdi, Najla I. Al-shathry, Yahia Said, Hasan Beyari, Shaymaa Sorour, Khalid Nazim Abdul Sattar, Fouad Shoie Alallah, Abdulrhman Alshareef

“…The major goal of the ENLPPR-ICFFO method is to detect and classify the sentiments existing in product ratings. …”
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Multi-omics analysis unveils the predictive value of IGF2BP3/SPHK1 signaling in cancer stem cells for prognosis and immunotherapeutic response in muscle-invasive bladder cancer by Yaobang Wang, Wuyue Song, Chao Feng, Shulin Wu, Zezu Qin, Tao Liu, Yu Ye, Rong Huang, Yuanliang Xie, Zhong Tang, Qiuyan Wang, Tianyu Li

“…Spatial transcriptomics (ST) and co-detection by indexing (CODEX) analysis were used to describe the spatial distribution and interactions of IGF2BP3 + SPHK1 + bladder cancer cells and immune cells. …”
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Clinical and Imaging Characteristics of Patients with Cervical Compressive Myelopathy Presenting with Unilateral Motor Deficits by Masatsune Sato, Hisanori Mihara, Hyonmin Choe, Takanori Niimura, Yuji Kawashima, Yutaka Inaba

“…Although the pathological classification of cervical myelopathy is well established, the quantitative analysis of its imaging features remains underexplored. …”
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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…This paper introduces a novel data-driven condition monitoring (CM) approach for Neutral-Point-Clamped (NPC) inverters based on Recurrence Plot Analysis (RPA) and Recurrence Quantification Analysis (RQA). …”
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Enzyme Biosensor Based on 3D-Printed Flow-Through Reactor Modified with Thiacalixarene-Functionalized Oligo (Lactic Acids) by Dmitry Stoikov, Dominika Kappo, Alexey Ivanov, Vladimir Gorbachuk, Olga Mostovaya, Pavel Padnya, Ivan Stoikov, Gennady Evtugyn

“…The novel cell design, featuring easy assembly and low-cost replaceable parts, makes this biosensor a promising candidate for routine clinical analysis and other practical applications.…”
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A multi-graph convolutional network method for Alzheimer’s disease diagnosis based on multi-frequency EEG data with dual-mode connectivity by Qingjie Xu, Qingjie Xu, Libing An, Haiqiang Yang, Haiqiang Yang, Keum-Shik Hong, Keum-Shik Hong

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Sonographic characteristics of local soft tissue recurrence in primary bone tumor and diagnostic efficacy versus MRI by Ping Yu, Junxue Gao, Yue Hu, Jiaan Zhu, Yu Wang

“…This study aims to compare the diagnostic efficacy of ultrasound (US) versus magnetic resonance imaging (MRI) in detecting LR following primary bone tumor surgery and to characterize the sonographic features of osteosarcoma recurrence. …”
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