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  1. 581
  2. 582

    Application of microscopic smartphone attachment for remote preoperative lab testing by Kefan Song, Kefan Song, Alexander T. Adams, Alexander T. Adams

    Published 2024-11-01
    “…This device is designed to assist both healthcare providers in resource-limited settings and patients by offering a low-cost, portable diagnostic tool that enables both in-clinic and at-home testing.MethodsThe system was tested for adaptability and compatibility by transitioning from its original Android platform to an iOS platform. …”
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    Article
  3. 583

    Exploring the Medicinal Potential of <i>Taraxacum Kok-Saghyz</i> (<i>TKS</i>) Using Widely Targeted Metabolomics by Michele Tan, Jeffrey Shih-Chieh Chu, Daniel Robin Swiger

    Published 2025-05-01
    “…This study presents the first comprehensive metabolic profile of <i>TKS</i>, highlighting its potential value beyond rubber production. The detection of numerous therapeutic secondary metabolites supports its promise as a pharmaceutical and nutraceutical resource. …”
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    Article
  4. 584

    Effects of Covid-19 Pandemic on School Dropout in Selected Primry Schools in Nyarusiza Sub-County Kisoro District. by Sibo, Dusabe Chris Jackson

    Published 2024
    “…Innovative approaches could be used such as applications of artificial intelligence in high-risk/high-traffic sites to enhance COVID-19 detection efficiency while protecting medical staff and the general public from cross-infections The government should establish a physical and automated platform for coordination and resource mobilization for support to the poor pupils and the most vulnerable groups affected by COVID-19-related lockdown.…”
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    Thesis
  5. 585

    Incorporating Non-Coding Annotations into Rare Variant Analysis. by Tom G Richardson, Colin Campbell, Nicholas J Timpson, Tom R Gaunt

    Published 2016-01-01
    “…<h4>Methods & results</h4>We conducted a candidate gene analysis using the UK10K sequence and lipids data, filtering according to functional annotations using the resource CADD (Combined Annotation-Dependent Depletion) and contrasting results with 'nonsynonymous' and 'loss of function' consequence analyses. …”
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    Article
  6. 586

    Genome-Wide Ultrabithorax Binding Analysis Reveals Highly Targeted Genomic Loci at Developmental Regulators and a Potential Connection to Polycomb-Mediated Regulation. by Daria Shlyueva, Antonio C A Meireles-Filho, Michaela Pagani, Alexander Stark

    Published 2016-01-01
    “…Furthermore, Ubx binding was detected at known Polycomb response elements (PREs) and was associated with significant enrichments of Pc and Pho ChIP signals in contrast to binding sites of other developmental TFs. …”
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    Article
  7. 587

    A mmWave JCAS System for Real-Time High-Data Rate Communication and RADAR Sensing by Markus Petri, Nebojsa Maletic

    Published 2025-01-01
    “…This paper presents a real-time millimeter-wave (mmWave) joint communication and sensing (JCAS) system, supporting bi-directional data communication with up to 5.8 Gbit/s coded data rate as well as mono-static radio detection and ranging (RADAR) with a range resolution of 6.7 cm and up to 2.1 kHz sensing rate. …”
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    Article
  8. 588
  9. 589

    The challenge of triple intestinal parasite infections in immigrants—A call for comprehensive differential diagnosis by Emmanuel Edwar Siddig, Ayman Ahmed

    Published 2024-11-01
    “…This case highlights the necessity of heightened awareness, early detection, and effective management of parasitic infections to enhance public health efforts and minimize the spread of these diseases. …”
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    Article
  10. 590

    Spatial distribution characteristics and influencing factors of milk tea stores in Wuhan based on sDNA and OPGD models. by Wentao Yang, Xinrui Zhan, Dinghui Liu, Huade Zhu

    Published 2025-01-01
    “…We then examined the influencing factors by combining spatial design network analysis, optimal parameters-based geographical detection, and location-based service big data. Our results revealed the following: (1) The spatial distribution of stores was concentrated in areas with high closeness and betweenness centrality, forming a multi-core "northwest-southeast" distribution pattern with significant spatial positive correlation. (2) The stores' spatial pattern was influenced by the road network betweenness and the presence of office buildings, shopping malls, shopping centers, and tourism resources. …”
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    Article
  11. 591

    Special Issue on Contemporary Research Studies in Operations Research, Business Analytics, and Business Intelligence by Viswanath Kumar Ganesan, S. Vinodh, Malolan Sundararaman, M. Vimala Rani, M. Mathirajan

    Published 2025-06-01
    “…The global market's increasing demand, diverse resource supply options, global competition, and environmental protection needs are driving organizations to adopt sustainable strategies. …”
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    Article
  12. 592

    Ensemble learning driven Kolmogorov-Arnold Networks-based Lung Cancer classification. by Abdul Rahaman Wahab Sait, Eid AlBalawi, Ramprasad Nagaraj

    Published 2024-01-01
    “…Early Lung Cancer (LC) detection is essential for reducing the global mortality rate. …”
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    Article
  13. 593
  14. 594

    Understanding Mantle Edge Pigmentation Through Comprehensive Transcriptomic Profiling of the Chilean Oyster (<i>Ostrea chilensis</i>) by Camila Godoy-Diaz, Katalina Llanos-Azócar, Gonzalo J. Ruiz-Tagle, Jorge E. Toro, Pablo A. Oyarzún, Juan A. Valdés

    Published 2025-01-01
    “…A total of 935,620,583 paired-end reads were de novo assembled, 50,908 transcripts produced, and a reference transcriptome created with 37.92% GC content and an N50 of 1929 bp. Functional annotation showed a total of 51,315 GO terms, with 21,322 annotations on Biological Process, 14,578 annotations on Molecular Functions, and 15,415 annotations on Cellular Component. …”
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    Article
  15. 595

    Development of a Novel KCNN4-Related ceRNA Network and Prognostic Model for Renal Clear Cell Carcinoma by Hengtao Bu, Qiang Song, Jiexiu Zhang, Yuang Wei, Bianjiang Liu

    Published 2023-01-01
    “…Finally, quantitative real-time polymerase chain reaction and western blot were conducted for KCNN4 expression detection in cell lines and clinical samples. Small interfering RNA was employed to knock down KCNN4, and corresponding functional experiments were conducted on ccRCC cells as well. …”
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    Article
  16. 596
  17. 597

    Patients’ and Health Care Professionals’ Perspectives on Remote Patient Monitoring in Chronic Obstructive Pulmonary Disease Exacerbation Management: Initiating Cocreation by Atena Mahboubian, Marise J Kasteleyn, Enna Bašić, Niels H Chavannes, Jiska J Aardoom

    Published 2025-05-01
    “…Early diagnosis of exacerbations is crucial for preserving lung function, preventing hospitalizations, and reducing health care costs. …”
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    Article
  18. 598

    Farmers’ knowledge and perception of finger millet blast disease and its control practices in western Kenya by Wilton Mbinda, Agnes Kavoo, Fredah Maina, Margaret Odeph, Cecilia Mweu, Naomi Nzilani, Mathew Ngugi

    Published 2021-03-01
    “…Abstract Background Finger millet blast disease, caused by Pyricularia oryzae, is a serious constrain of finger millet production which is threatening global food security especially to the resource poor smallholder farmers in arid and semi-arid regions. …”
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    Article
  19. 599

    Insights from lncRNAs Profiling of MIN6 Beta Cells Undergoing Inflammation by Chuntao Sun, Lihua Xue, Ziyang Zhu, Fan Zhang, Ruixue Yang, Xuewen Yuan, Zhanjun Jia, Qianqi Liu

    Published 2016-01-01
    “…This study may be utilized as a background or reference resource for future functional studies on lncRNAs related to the diagnosis and development of new therapies for T1DM.…”
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    Article
  20. 600

    Probabilistic linkages of propagation from meteorological to agricultural drought in the North African semi-arid region by Younes Dahhane, Victor Ongoma, Abdessamad Hadri, Mohamed Hakim Kharrou, Oualid Hakam, Abdelghani Chehbouni

    Published 2025-04-01
    “…Statistical measures such as Spearman correlation (R), root mean square error (RMSE), and mean absolute error (MAE), are utilized to assess the performance of the meteorological drought index to detect the agricultural drought. The propagation time from meteorological drought to agricultural drought was identified, and probabilistic linkages between the two types of droughts were investigated using the copula function and Bayesian network. …”
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    Article