ATClean: A Novel Method for Detecting Low-luminosity Transients and Application to Pre-explosion Counterparts from SN 2023ixf by S. Rest, A. Rest, C. D. Kilpatrick, J. E. Jencson, S. von Coelln, L. Strolger, S. Smartt, J. P. Anderson, A. Clocchiatti, D. A. Coulter, L. Denneau, S. Gomez, A. Heinze, R. Ridden-Harper, K. W. Smith, B. Stalder, J. L. Tonry, Q. Wang, Y. Zenati

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AI-Driven Integration of Deep Learning With Lung Imaging, Functional Analysis, and Blood Gas Metrics for Perioperative Hypoxemia Prediction by Kecheng Huang, Chujun Wu, Rongpeng Pi, Jieyu Fang

“… This viewpoint article explores the transformative role of artificial intelligence (AI) in predicting perioperative hypoxemia through the integration of deep learning with multimodal clinical data, including lung imaging, pulmonary function tests, and arterial blood gas (ABG) analysis. …”
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Identification and Functional Testing of ERCC2 Mutations in a Multi-national Cohort of Patients with Familial Breast- and Ovarian Cancer. by Andreas Rump, Anna Benet-Pages, Steffen Schubert, Jan Dominik Kuhlmann, Ramūnas Janavičius, Eva Macháčková, Lenka Foretová, Zdenek Kleibl, Filip Lhota, Petra Zemankova, Elitza Betcheva-Krajcir, Luisa Mackenroth, Karl Hackmann, Janin Lehmann, Anke Nissen, Nataliya DiDonato, Romy Opitz, Holger Thiele, Karin Kast, Pauline Wimberger, Elke Holinski-Feder, Steffen Emmert, Evelin Schröck, Barbara Klink

“…Ten out of eleven mutations that were tested exemplarily in cell-based functional assays exert diminished excision repair efficiency and/or decreased transcriptional activation capability. …”
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Leveraging Multimodal Large Language Models (MLLMs) for Enhanced Object Detection and Scene Understanding in Thermal Images for Autonomous Driving Systems by Huthaifa I. Ashqar, Taqwa I. Alhadidi, Mohammed Elhenawy, Nour O. Khanfar

“…Two primary research questions are addressed: the capacity of these models to detect and enumerate objects within thermal images, and to determine whether pairs of image sources represent the same scene. …”
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Saponins from <i>Solanum nigrum</i> L. Fruit: Extraction Optimization, Structural Characterization, and Dual-Functional Efficacy by Shuyuan Chen, Weiyun Guo, Tonghe Zhang, Jianfang Chen, Li Huang, Jihong Huang, Ruqiang Huang

“…., a widely consumed Asian medicinal edible plant, is a promising source of bioactive saponins for functional food applications. …”
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Enhanced high-sensitivity multi-layer neutron detector based on LiF:ZnS(Ag) scintillator by Ilan Cohen Zada, Alon Osovizky, Itzhak Orion

“…Our experiments demonstrate a significant improvement in detection efficiency compared to the single-layer setup. …”
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Ago HITS-CLIP expands understanding of Kaposi's sarcoma-associated herpesvirus miRNA function in primary effusion lymphomas. by Irina Haecker, Lauren A Gay, Yajie Yang, Jianhong Hu, Alison M Morse, Lauren M McIntyre, Rolf Renne

“…In summary, we provide an extensive list of cellular and viral miRNA targets representing an important resource to decipher KSHV miRNA function.…”
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Nutritional and Functional Characterization of Flour from Seeds of Chañar (<i>Geoffroea decorticans</i>) to Promote Its Sustainable Use by Marisa Ayelen Rivas, Enzo Agustin Matteucci, Ivana Fabiola Rodriguez, María Alejandra Moreno, Iris Catiana Zampini, Adriana Ramon, María Inés Isla

“…A high polyphenol and dietary fiber content was detected. Flavonoids and condensed tannins were the dominant phenolics. …”
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Discovery of candidate functional non-coding mutations in acute myeloid leukemia using single-cell chromatin accessibility sequencing by Ming Zhu, Jiali Zhu, Zhijuan Zhu, Yiding Yang, Jinxian Dai, Hua Li, Nainong Li, Jialiang Huang

“…Additionally, we develop eMut, an integrated computational pipeline for detecting, imputing, and functionally characterizing non-coding mutations in CREs at the single-cell level. …”
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Effect of melatonin, zinc sulfate, nano-melatonin, and nano-zinc oxide on mitochondria function and developmental competence of buffalo oocytes by Omaima Mohamed Kandil, Heba Elsaeed Elsehy, Nabil Mohamed Baker, Mohamed Asran Elbehiry, Sayed Ahmed Hattab

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IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism by Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang

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Industrial production and functional profiling of probiotic Pediococcus acidilactici 72 N for potential use as a swine feed additive by Nay Zin Myo, Ratchnida Kamwa, Benjamas Khurajog, Pawiya Pupa, Wandee Sirichokchatchawan, David J. Hampson, Nuvee Prapasarakul

“…Conventional and statistical optimization techniques were used to screen food-grade carbon sources (glucose, dextrose, sucrose) and nitrogen sources (beef extract, yeast extract, sweet whey) to develop the optimal formulation. …”
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Compact Laser-Induced Fluorescence Detector with Adjustable Laser Focal Spot for Multiple Purposes by Zihe Xu, Xi Chen, Fangwu Liu

“…The influence of the excitation power on the detection limit was studied through experiments, and the configuration results for LED/LD as light sources and 487/450 nm wavelengths were compared and optimized. …”
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Research on intelligent identification of microscopic substances in shale scanning electron microscope images based on deep learning theory by Ruigang Zhang, Xiangru Chen, Xin Tang, Qiuqi Chen, Sen Guo, Cheng Liu, Zhengchao Guo, Yuerong Zhou, Xiaoyi Zhou

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High accuracy identification of maize seed varieties based on a lightweight improved YOLOv8 by Siqi Niu, Xiaolin Xu, Ao Liang, Yuliang Yun, Fengqi Hao, Jinqiang Bai, Wenyi Sheng, Dexin Ma

“…Lastly, the loss function was replaced with Inner_SIoU, which was more suitable for small-object detection tasks. …”
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Reconstructed Phase Space-Based Damage Detection Using a Single Sensor for Beam-Like Structure Subjected to a Moving Mass by Zhenhua Nie, Tuan Ngo, Hongwei Ma

“…This paper presents a novel damage detection method based on the reconstructed phase space of vibration signals using a single sensor. …”
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Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

“…RainFA is an easy-to-use and open-source software programmed using Python that can be applied anywhere in the world.…”
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An innovative and mass-sensitive quartz tuning fork (QTF) biosensor for GFAP detection: A novel approach for traumatic brain injury diagnosis by Burcu Özcan, İnci Uludağ Anıl, Mehmet Altay Ünal, Fikret Arı, Mustafa Kemal Sezgintürk, Sibel Ayşıl Özkan

“…This biosensor is designed to facilitate the highly sensitive and selective detection of GFAP in human serum. In contrast to conventional neuroimaging methods, which are resource-intensive and frequently inaccessible in emergency situations, this innovative biosensor offers a portable, cost-effective, and efficient alternative for rapid GFAP measurement. …”
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Dip‐Pen Nanolithography‐Based Fabrication of Meta‐Chemical Surface for Heavy Metal Detection: Role of Poly‐Methyl Methacrylate in Sensor Sensitivity by Rahma Okbi, Mohammed Alkrenawi, Krishna Kumar Yadav, Dror Shamir, Haya Kornweitz, Yael Peled, Moshe Zohar, Ariela Burg

“…The nanosize, the surface‐to‐volume ratio (18.6 and 23.1 μm−1 for DAN‐ and D‐PA‐based ink, respectively), and the binding strength between the ligand and the cation (2.21 and −21.37 kcal mol−1 for DAN‐ and D‐PA‐based ink, respectively) are found to be the source of their high sensitivity, with limit of detection values of 0.40 and 0.30 ppb for DAN and D‐PA, respectively. …”
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Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

“…Owing to the demand for smoke and flame detection in natural scenes, this paper proposes a lightweight deep learning model, SF-YOLO (Smoke and Fire-YOLO), for video smoke and flame detection in such environments. …”
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