Revolutionizing Clear-Sky Humidity Profile Retrieval with Multi-Angle-Aware Networks for Ground-Based Microwave Radiometers by Yinshan Yang, Zhanqing Li, Jianping Guo, Yuying Wang, Hao Wu, Yi Shang, Ye Wang, Langfeng Zhu, Xing Yan

“…Nevertheless, it remains challenging, as traditional models rely exclusively on vertical brightness temperature (BT) observations. Here, we present a novel retrieval algorithm called AngleNet, a groundbreaking deep-learning model that leverages multi-angle BT observation from ground-based microwave radiometers (MWRs). …”
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Postoperative loss of perineuronal nets in the hippocampal CA1 region results in memory consolidation deficits by Zun-sai Feng, Jiang-nan Wu, Gui-cheng Wang, Zi-qing Xu, Yan-jing Guo, Shi-yu Hao, Gong-ming Wang, Meng-yuan Zhang

“…In contrast, normal mice treated with chondroitinase ABC (ChABC) to degrade PNNs presented a similar phenotype of postoperative memory consolidation deficits. …”
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Depletion of core microbiome forms the shared background against diverging dysbiosis patterns in Crohn’s disease and intestinal tuberculosis: insights from an integrated multi-coho... by Aditya Bajaj, Manasvini Markandey, Amit Samal, Sourav Goswami, Sudheer K. Vuyyuru, Srikant Mohta, Bhaskar Kante, Peeyush Kumar, Govind Makharia, Saurabh Kedia, Tarini Shankar Ghosh, Vineet Ahuja

“…Methods Disease-associated gut microbial modules were identified using statistical machine learning and co-abundance network analysis in controls, CD and ITB patients recruited as part of this study. …”
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Participatory longitudinal qualitative interview study to understand Autistic gynaecological and obstetric health: the Autism from menstruation to menopause study protocol by Amy Brown, Kathryn Williams, Aimee Grant, Gemma L Williams, Harriet Axbey, Abigail Wilkins, Ellen Firth, Hazel Lim, Helen Cave, Kay Ribbons, Madeleine Sinfield, Monique Craine, Selena Caemawr, Willow Holloway, Christina Nicolaidis, Helen Kara, Rebecca Ellis

“…Introduction Autism is a lifelong minority neurotype present from birth. There is a dearth of credible evidence to suggest gender variation in Autism prevalence, despite historical under-diagnosis of women. …”
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Locally led adaptation metrics for Africa: a framework for building resilience in smallholder farming sectors by Nwamaka Okeke-Ogbuafor, Joanes Atela, Mary Gorret Nantongo, Leah Aoko, Charles Tonui, Edward Rajah, Edward Rajah, Joshia Osamba, Josephat Omune Odongo, Assouhan Jonas Atchade, Tim Gray

“…To mitigate the impact of climate change on this sector, the present study developed the first framework for locally led adaptation metrics for SHFs by drawing on the context knowledge of Kenya’s SHFs and lessons from the resilience and adaptation policy literature. …”
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Virtual reality cricothyrotomy – a tool in medical emergency education throughout various disciplines by Valentin Burkhardt, Marianne Valette, Iva Speck, Omar Flayyih, Christine Huber, Angela Widder, Robert Wunderlich, Friederike Everad, Christian Offergeld, Tobias Albrecht

“…Therefore, regular training is essential to gain routine. The aim of the present study was to investigate whether professional groups with different levels of experience with the procedure succeed in learning the procedure with a virtual reality trainer. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…We examine core VSLAM algorithms (feature-based, direct, hybrid, and deep-learning-enhanced) and discuss their adaptation to wearable platforms. …”
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Monitoring of Forest Changes in Mount Kenya National Park Based on Domestic High-Resolution Satellites by K. Liu, Z. Luo, L. Liu, Y. Gan, X. Mu, H. Wang, X. Du

“…The optimized semantic segmentation model DeepLabv3+, which is based on the Pytorch deep learning framework, was used to achieve fine segmentation of forest element boundaries via a spatial pyramid pooling module and an encoder-decoder architecture. …”
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AI-assisted SERS imaging method for label-free and rapid discrimination of clinical lymphoma by Haiting Cao, Xiaofeng Wu, Huayi Shi, Binbin Chu, Yao He, Houyu Wang, Fenglin Dong

“…We anticipate that these results will catalyze the development of a series of histological SERS-AI technologies for diagnosing various diseases, including other types of cancer. In this work, we present a reliable tool to facilitate clinicians in the diagnosis of lymphoma. …”
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Adsorptive removal of organics and nutrients from septic tank effluent using oak wood chip biochar: Kinetic analysis and numerical modeling by Chimdi Muoghalu, Herbert Cirrus Kaboggoza, Swaib Semiyaga, Musa Manga

“…Additionally, machine learning tools for predicting the performance of biochar have not been applied in septic tank effluent treatment. …”
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Continuing professional development for primary care physicians: a pre-post analysis of a focused abdominal point-of-care ultrasound pilot training by Itamar Ben Shitrit, Karny Ilan, Moshe Shmueli, Ofri Karni, Ariel Avraham Hasidim, Assi Cicurel, Anna Quinn, Meir Israel Pinto, Oren Wacth, Lior Fuchs

“…Pattern recognition skills, assessed through clips, presented a notable rise from an average of 26% to 69% (p < 0.001). …”
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BME 2.0: Engineering the Future of Medicine by Michael I. Miller, Andrew O. Brightman, Frederick H. Epstein, K. Jane Grande-Allen, Jordan J. Green, Eileen Haase, Cato T. Laurencin, Elizabeth Logsdon, Feilim Mac Gabhann, Brenda Ogle, Chun Wang, George R. Wodicka, Rai Winslow

“…BME 2.0 was announced on October 12 2017 at BMES 49 (https://www.bme.jhu.edu/news-events/news/miller-opens-2017-bmes-annual-meeting-with-vision-for-new-bme-era/). We present several principles upon which we believe the BME 2.0 curriculum should be constructed, and from these principles, we describe what view as the foundations that form the next generations of curricula in support of the BME enterprise. …”
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Understanding the implementation of a multidisciplinary intervention using a suite of prescribing safety indicators to improve medication safety in prison healthcare settings: a qu... by Tracy Millington, Darren Ashcroft, Tony Avery, Mark Jeffries, Richard Neil Keers, Aseel S M Abuzour, Mark Langridge, Gayle Francis, Amber O’Brien

“…Overcrowding in prisons, inadequate staffing levels, diversion of medication and substance misuse present challenges to prison healthcare. Interventions that use prescribing safety indicators are one way of helping to reduce the risk of harm by identifying patients at risk of potentially hazardous prescribing. …”
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Molecular detection of hrHPV-induced high-grade squamous intraepithelial lesions of the cervix through a targeted RNA next generation sequencing assay by Julia Faillace Thiesen, Elise Jacquemet, Pascal Campagne, Denis Chatelain, Etienne Brochot, Yves-Edouard Herpe, Nolwenn M. Dheilly, Fabrice Bouilloux, Bénédicte Rognon, Alexandre Douablin, Guillaume Leboucher, Florent Percher, Marc Eloit, Philippe Pérot

“…Although hrHPV infection is a pre-requisite for the development of most precancerous lesions, the mere detection of viral nucleic acids, also present in transient infections, is not specific of the underlying cellular state, resulting in poor positive predictive values (PPV) regarding lesional states. …”
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High-throughput end-to-end aphid honeydew excretion behavior recognition method based on rapid adaptive motion-feature fusion by Zhongqiang Song, Jiahao Shen, Qiaoyi Liu, Wanyue Zhang, Ziqian Ren, Kaiwen Yang, Xinle Li, Jialei Liu, Fengming Yan, Wenqiang Li, Yuqing Xing, Lili Wu

“…This framework integrates spatiotemporal motion features with deep learning architectures to enhance detection accuracy and operational efficacy.MethodsThis study established the first fine-grained dataset encompassing aphid Crawling Locomotion(CL), Leg Flicking(LF), and HE behaviors, offering standardized samples for algorithm training. …”
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Pork-YOLO: Automated collection of pork quality traits by Jiacheng Wei, Xi Tang, Jinxiu Liu, Ting Luo, Yan Wu, Junhui Duan, Shijun Xiao, Zhiyan Zhang

“…For marbling scoring, an image classification task yielded an average accuracy of 98.9 %, with a strong correlation (R2 = 0.999) between predicted and actual values. This study presents an innovative method for rapid automated assessment of pork quality traits, offering valuable insights for future phenotypic measurement automation.…”
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Synergizing remote sensing, support vector machine, and aeromagnetic data for precise lithological and mineral potential mapping: a case study from Egypt by Hatem M. El-Desoky, Ahmed M. Abdel-Rahman, Hamada El-Awny, Wael Fahmy, Reda Abdu Yousef El-Qassas, Kamal Abdelrahman, Hassan Alzahrani, Peter Andráš, Yahia Z. Amer, Ahmed M. Eldosouky

“…Precise lithological mapping is not only a strong key for exploring new mineralized areas but also could help in achieving the optimal exploitation of mineralized regions. In the present case, cause lithological mapping may provide advice not only to the distribution of possible placer deposit occurrences within the study region but also to small-scale blocks of gold-bearing rocks that are not specifically described in prior geological maps. …”
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BK channel activity in skin fibroblasts from patients with neurological disorder by Ria L. Dinsdale, Thomas R. Middendorf, Deborah Disilvestre, David Adams, William Gahl, Ellen F. Macnamara, Lynne Wolfe, Camilo Toro, Cynthia J. Tifft, Andrea L. Meredith

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Advancements in Hyperspectral Imaging and Computer-Aided Diagnostic Methods for the Enhanced Detection and Diagnosis of Head and Neck Cancer by I-Chen Wu, Yen-Chun Chen, Riya Karmakar, Arvind Mukundan, Gahiga Gabriel, Chih-Chiang Wang, Hsiang-Chen Wang

“…<b>Background/Objectives:</b> Head and neck cancer (HNC), predominantly squamous cell carcinoma (SCC), presents a significant global health burden. Conventional diagnostic approaches often face challenges in terms of achieving early detection and accurate diagnosis. …”
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The American Influence on International Commercial Arbitration: Doctrinal Developments and Discovery Methods, 2nd ed, by Pedro J. Martinez-Fraga, eds, Cambridge: Cambridge Univer... by Cüneyt Yüksel, Can Eken

“…Therefore, those who are interested in learning about Martinez Fraga’s book with a critical approach can find some interesting insights from the review.…”
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