Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…The aviation industry faces considerable challenges in maintenance management due to the complexities of data standardization, data sharing, and predictive maintenance capabilities. …”
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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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Metabolomic Biomarkers Differentiate Soy Sauce Freshness under Conditions of Accelerated Storage by Thiruchelvi R. Reddy, Katherine A. Overmyer, Joshua J. Coon, MaryAnne Drake, Taro Horiba, Scott A. Rankin

“…We present a metabolomic approach for the analysis of complex food systems capable of differentiating a quantifiable extrinsic variable, which is, in this case, storage time with a correlation coefficient of 0.99. …”
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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

“…Under the White Analytical Chemistry (WAC) framework, the assessment employing the RGB 12 model categorized the method as ''white,'' indicative of its optimal environmental and operational efficiency. Further analysis using the new BAGI metric reinforced the method's sustainability and versatility by yielding high ratings in both dimensions, underscoring its reliability and extensive applicability.…”
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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 Moore’s law approaches its physical limits, the semiconductor industry has begun to focus on improving I/O density and power efficiency through 2.5D/3D packaging. Heterogeneous integration, which combines integrated circuit blocks from different linewidth processes into a single package, is central to these developments. …”
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Research on leakage hazards of embankments based on 3D electrical resistivity tomography technology by Yuehang Zhao, Risheng Wang, Tao Gao, Tao Guo, Xin Guo

“…Leakage is a common issue in reservoirs; however, accurately detecting its location and seepage diameter can be challenging owing to complex geological conditions. …”
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A Delayed Response in the Area‐Concentrated Search Can Improve Foraging Success by Thotsapol Chaianunporn, Thomas Hovestadt

“…We propose a modified ACS, called delayed‐response ACS (dACS), which is more efficient in resource collection than standard ACS. …”
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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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A Hybrid Deep Learning Framework for Accurate Cell Segmentation in Whole Slide Images Using YOLOv11, StarDist, and SAM2 by Julius Bamwenda, Mehmet Siraç Özerdem, Orhan Ayyıldız, Veysı Akpolat

“…Accurate segmentation of cellular structures in whole slide images (WSIs) is essential for quantitative analysis in computational pathology. However, the complexity and scale of WSIs present significant challenges for conventional segmentation methods. …”
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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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Artificial intelligence-based multi-expression programming prediction of magnetized radiative nanofluid flow between coaxial deformable tubes by Bilal Ahmed, Dong Liu, Bouthaina Dammak, Naeem Ullah, Afraz Hussain Majeed, Hafedh Mahmoud Zayani, Binjuan Zhao

“…Endoscopy is used to detect the inner diseases of body that are complex to detect from the ordinary visualization and outer tube shows the blood flow arteries. …”
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From Tables to Computer Vision: Transforming HPDC Process Data into Images for CNN-Based Deep Learning by A. Burzyńska

“…The approach assists in predicting key values of the dependent variable associated with defect occurrence, enabling foundries to enhance product quality, reduce waste, and augment overall production process efficiency. The proposed study is founded on two principal pillars: the transformation of process tabular data (generated using the Conditional Tabular Generative Adversarial Network (CTGAN)), involving the mapping of features onto a fixed grid in a heatmap structure, and the configuration of the CNN algorithm to extract complex patterns in the data that are not readily apparent in the original tabular format. …”
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Design of Two Phase DC-AC Interleaved Boost Inverter with Voltage Control System using PI Controller by Juan Marco Alexander Wasiatno, Leonardus Heru Pratomo

“…Testing was carried out using several test signals, and it was found that the proposed method worked well. System efficiency and Total Harmonic Distortion (THD) tests carried out using various load values, and a maximum efficiency of 93.87% and a minimum THD of 2.46% were obtained.…”
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The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

“…Similar situation was found also in the case of As, and Ni in the sun spurge, which showed to be much efficient in metal accumulation than common nettle. …”
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Design and performance evaluation of low-voltage solid-state DCCB using capacitor-based surge mitigation techniques by Mehdi Moradian, Tek Tjing Lie, Kosala Gunawardane

“…The optimal surge absorption configuration will be chosen based on its ability to meet various criteria, including efficient operation, rapid response, minimal complexity on both power and control sides, and the involvement of active and passive components. …”
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Importance of forensic accounting in the process of making decisions by the top management by Dragan Cvetković, Ljiljana Dimitrijević, Slaviša Đorđević

“…In modern business conditions, more and more attention is paid to the introduction of forensic accounting into the regular operations of the company and its development, in order to achieve more efficient and effective controls of all organizational parts in the company. …”
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Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation by Vladimir Sonkin, Cătălin Tudose

“…These capabilities enable efficient automation of repetitive tasks, enforcement of coding standards, and streamlined development workflows. …”
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Unsupervised clustering of temporal patterns in high-dimensional neuronal ensembles using a novel dissimilarity measure. by Lukas Grossberger, Francesco P Battaglia, Martin Vinck

“…Our method handles efficiently the additional information from increasingly large neuronal ensembles and can detect a number of patterns that far exceeds the number of recorded neurons. …”
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AI-assisted anatomical structure recognition and segmentation via mamba-transformer architecture in abdominal ultrasound images by Shih-Fang Chang, Shih-Fang Chang, Po-Yi Wu, Ming-Chang Tsai, Ming-Chang Tsai, Vincent S. Tseng, Chi-Chih Wang, Chi-Chih Wang

“…Combining Mamba and transformer architectures, this hybrid design was well-suited for the timely analysis of complex anatomical structures segmentation in abdominal ultrasonography, where accuracy and efficiency are critical in clinical practice.ConclusionThe proposed mamba-transformer hybrid recognition framework simultaneously detects and segments multiple abdominal organs and lesions in ultrasound images, achieving superior segmentation accuracy, visualization effect, and inference efficiency, thereby facilitating improved medical image interpretation and near real-time diagnostic sonography that meets clinical needs.…”
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