Multimodal learning for enhanced SPECT/CT imaging in sports injury diagnosis by Zhengzheng Jiang, YaWen Shen

“…IntroductionSingle-photon emission computed tomography/computed tomography (SPECT/CT) imaging plays a critical role in sports injury diagnosis by offering both anatomical and functional insights. However, traditional SPECT/CT techniques often suffer from poor image quality, low spatial resolution, and limited capacity for integrating multiple data sources, which can hinder accurate diagnosis and intervention.MethodsTo address these limitations, this study proposes a novel multimodal learning framework that enhances SPECT/CT imaging through biomechanical data integration and deep learning. …”
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Towards liquid biopsy on chip for Triple Negative Breast Cancer: preliminary results on monitoring circulating miRNA-21 using portable diagnostics by Alessandra Glovi, Panagiota M. Kalligosfyri, Antonella Miglione, Sima Singh, Gabriella Iula, Antonio Giordano, Michelino De Laurentiis, Stefano Cinti

“…In this work, miRNA-21 was selectively detected using a complementary DNA probe modified with methylene blue, as a redox mediator, immobilized onto an AuNPs-functionalized, paper-based screen-printed electrode. …”
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Modeling the effects of land use change on agricultural carrying capacity and food security by R. Harini, R. Rijanta, E.H. Pangaribowo, R.F. Putri, I. Sukri

“…Food problems are related to the availability of food sources. The availability of agricultural land as the primary source of food production is decreasing due to the increase in population. …”
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Individual ZnO–Ag Hybrid Nanorods for Synergistic Fluorescence Enhancement Towards Highly Sensitive and Miniaturized Biodetection by Marion Ryan C. Sytu, Jong-in Hahm

“…Hybrid nanostructures can be engineered to exhibit superior functionality beyond the level attainable from each of the constituent nanomaterials by synergistically integrating their unique properties. …”
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Lipoprotein N-terminal modification in Bacillus: a new paradigm for extracellular acetylation and species-dependent Toll-like receptor 2 immunomodulation by Gloria Komazin, Rachel M. Wigmore, Aditi M. Ranade, Amena A. Rizk, John H. Gardiner, Timothy C. Meredith

“…While Ac-LP biosynthetic pathway genes appear to be universally conserved in all Bacillus spp., those associated with pathogenic lineages have often lost function. In B. anthracis strains, LhaT has been inactivated by insertion of poly-tyrosine runs of variable length that favors chemotype conversion to lyso-LP and evasion of TLR2 detection. …”
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ParticleHolography.jl: Holographic particle measurement in Julia by Dai Nakai, Yohsuke Tanaka

“…This comprehensive software provides an end-to-end processing pipeline encompassing a wide range of functionalities: preprocessing, including background removal and camera calibration; three-dimensional reconstruction through diffraction calculations; particle analysis, including detection and tracking; and result visualization. …”
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An atypical presentation of autoimmune hepatitis with delayed menarche in a Nigerian adolescent: a case report by Promise Udoka Asogwa, Bruno Basil, Winifred Njideka Adiri, Nelson Ugwu, Gideon Ekene Anigbo, Evaristus Offia, Casmir Orjioke

“…It emphasizes the need for increased awareness and better diagnostic resources to improve early detection and management of autoimmune hepatitis in sub-Saharan Africa. …”
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Proteinuria Ratio and Related Factors İn Type 2 DM Patients: A Hospital-Based Study in Somalia by Gökhan Alıcı, Ahmed Muhammad Bashir

“…Understanding these factors is crucial for early detection and intervention to prevent kidney damage in this population. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…This model employs TTHHO to effectively navigate the search space and adaptively optimize network node positions, integrates CNN-LSSVM for feature extraction and regression analysis, and incorporates ABKDE for probability density function estimation and outlier detection, resulting in accurate interval probability prediction and enhanced model resilience to interference. …”
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A Novel Approach to Cognitive Load Measurement in N-Back Tasks Using Wearable Sensors, Empirical Mode Decomposition With Machine Learning, and Explainable AI for Feature Importance by Aakanksha Dayal, Ziaullah Khan, Kiramat Ullah, Hee-Cheol Kim

“…This study introduces a novel approach for detecting mental workload and stress, utilizing ECG and Fingertip-PPG data from the MAUS dataset. …”
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Efficient analysis of drug interactions in liver injury: a retrospective study leveraging natural language processing and machine learning by Junlong Ma, Heng Chen, Ji Sun, Juanjuan Huang, Gefei He, Guoping Yang

“…Electronic medical records contain comprehensive clinical information and have gained increasing attention as a potential resource for DDI detection. However, a substantial portion of adverse drug reaction (ADR) information is hidden in unstructured narrative text, which has yet to be efficiently harnessed, thereby introducing bias into the research. …”
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Lactylation: From Homeostasis to Pathological Implications and Therapeutic Strategies by Xi Chen, Yixiao Yuan, Fan Zhou, Lihua Li, Jun Pu, Yong Zeng, Xiulin Jiang

“…Moreover, we discuss advanced detection technologies and potential therapeutic interventions targeting lactylation pathways. …”
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A UAV Image Stitching Method for Complex Urban Environments by W. Niu, D. Qiu, R. Wu, R. Wu, Z. Wang, Y. Shi

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An Observational Study on Pre-natal Diagnosis of Congenital Talipes Equinovarus by Gaurav Vatsa, Saurabh Suman, Siddharth Kumar Singh

“…Future research should assess long-term functional outcomes and optimize pre-natal screening protocols, particularly in resource-limited settings, to ensure comprehensive CTEV management.…”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. The dataset was randomly split using the scikit-learn package to facilitate both training and evaluation. …”
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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…Medical documents are considered an essential source for modern, invented, and robust analysis methods for accurate infection diagnoses. …”
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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…In this work, we study the evolution of the timing properties of Cygnus X-1 with AstroSat/LAXPC, during the transition of the source from the hard to soft state in 2017. We use a novel frequency-segmented technique to fit simultaneously the cross spectra and parts of the power spectra and coherence function with a multi-Lorentzian model and predict the phase lags and the complementary parts of the power spectra and coherence function. …”
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Time frequency analysis of elastic wave PSO OMP for defects in flat steel of down conductors by Jing Zhang, Wei Liu, Minghui Bao, Peng Yang, Xuhua Liu, Zhihong Fu

“…Due to environmental factors, cross media propagation, and interference from excitation sources, noise is coupled into the original signal during data acquisition, seriously affecting signal processing. …”
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Chemometrically assisted optimization and validation of the HPLC method for the analysis of alectinib and its related impurity with measurement uncertainty evaluation and whiteness... by Serkan Levent, Abeer Elriş, Hazal Avcı, Saniye Özcan, Nafiz Öncü Can

“…This made it possible to find and measure the sources of uncertainty as well as the factors that affected the chromatographic responses. …”
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Real-Time, Risk-Based Clinical Trial Quality Management in China: Development of a Digital Monitoring Platform by Min Jiang, Shuhua Zhao, Yun Mei, Zhiying Fu, Yannan Yuan, Jie Ai, Yuan Sheng, Ying Gong, Jingjing Chen

“…ConclusionsIn clinical practice, our tool would enable the automated monitoring and detection of risk points throughout all clinical trial stages; accurately identify the most relevant trial procedure and function line; and notify quality management personnel, in real time, to take prompt actions and dynamically prevent the recurrence of quality issues.…”
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