Identification and odor exposure regulation of odorant-binding proteins in Picromerus lewisi by Shan-Cheng Yi, Jia-Ling Yu, Sara Taha Abdelkhalek, Sara Taha Abdelkhalek, Zhi-Rong Sun, Man-Qun Wang

“…This implies that these PlewOBPs may have an olfactory function in detecting S. litura-infested tobacco plants. …”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Big data for imaging assessment in glaucoma by Douglas R. da Costa, Felipe A. Medeiros

“…Leveraging vast data sources, these technologies promise to enhance clinical practice and public health outcomes by enabling earlier disease detection, progression forecasting, and deeper understanding of underlying mechanisms. …”
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On the usage of artificial intelligence in leprosy care: A systematic literature review. by Hilson Gomes Vilar de Andrade, Elisson da Silva Rocha, Kayo H de Carvalho Monteiro, Cleber Matos de Morais, Danielle Christine Moura Dos Santos, Dimas Cassimiro Nascimento, Raphael A Dourado, Theo Lynn, Patricia Takako Endo

“…The persistent stigma and social exclusion associated with leprosy complicate eradication efforts exacerbate the wider challenges faced by NTDs in sourcing the necessary resources and attention for control and elimination. …”
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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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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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Green Chemistry Method for Analyzing Bisphenol A in Milk by Angela M. Encerrado Manriquez, Wen-Yee Lee

“…., its ability to mimic hormone functions). Studies have reported that BPA can leach into various food sources, including milk, a dietary staple for infants. …”
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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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Radiation diagnostics of the state of ventilation and pulmonary circulation in patients with COPD by O. S. Sementsov, S. V. Stepanenko

“…Also a promising area is the use of functional CT (inspiratory-expiratory CT) - which should improve the assessment of respiratory function, including early detection of patients with COPD, which will promote the in time start of specific treatment, reduce episodes of exacerbations during the disease, assess the dynamics of the pathological process and the effectiveness of treatment, as well as improving the prognosis of work and life expectancy of patients. …”
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The burden of intracerebral hemorrhage attributable to ambient particulate matter pollution in five Asian countries: a 32-year comparative analysis by Rui Yang, Xingke Wang, Panpan Hao

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Investigation of TsGAN-based multimodal image fusion to augment image pre-processing abilities by Priyanka Bhatambarekar, Gayatri Phade

“…The TSGAN framework generates a unified texture map that captures essential gradient preservation into the generator’s loss function, the model successfully retains critical information about texture from the input source images. …”
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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

“…Accurately determining the exposure time to an infectious pathogen, together with the corresponding incubation period, is vital for identifying infection sources and implementing targeted public health interventions. …”
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Double-moment normalization of hail size number distributions over Switzerland by A. Ferrone, J. Kopp, M. Lainer, M. Gabella, U. Germann, A. Berne

“…Thanks to its invariance in space and time, a generalized gamma function is used to model the normalized distribution, and its parameters have been determined through a fit over approximately 70 % of the events. …”
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Machine learning models for clinical and structural knee osteoarthritis prediction: Recent advancements and future directions by Gabby B. Joseph, Charles E. McCulloch, Michael C. Nevitt, Nancy E. Lane, Sharmila Majumdar, Thomas M. Link

“…These evolving strategies underscore the growing potential of ML to improve the detection of early OA, individualized risk stratification, and personalized interventions in OA clinical care.…”
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