Differentiation and histological analysis of primary human bronchial epithelial cells cultured on transwell membranes using air-liquid interface culture by Asha Ashraf, Erica D. Bruce

“…This protocol describes a reproducible and optimized workflow for the differentiation and histological analysis of primary normal human bronchial epithelial cells (NHBECs) cultured on Transwell membranes using air-liquid interface (ALI) culture. The method begins with expansion of early-passage NHBECs under submerged conditions, followed by seeding on collagen-coated Transwell inserts. …”
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BioCurve Analyzer: a web-based shiny app for analyzing biological response curves by Zenan Xing, James Eckhardt, Aditya S. Vaidya, Sean R. Cutler

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In Vivo Imaging of Cobalt-Induced Ocular Toxicity in a Mouse Model by Basel Obied, Galit Saar, Stephen Richard, Ygal Rotenstreich, Ifat Sher, Alon Zahavi, Nitza Goldenberg-Cohen

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A two-step machine learning approach for predictive maintenance and anomaly detection in environmental sensor systems by Saiprasad Potharaju, Ravi Kumar Tirandasu, Swapnali N. Tambe, Devyani Bhamare Jadhav, Dudla Anil Kumar, Shanmuk Srinivas Amiripalli

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Bioluminescent imaging of an oomycete pathogen empowers chemical selections and rational fungicide applications by Han Chen, Jiana Mao, Yujie Fang, Waqas Raza, Zhi Li, Chongyuan Zhang, Yingguang Zhu, Yuanchao Wang, Suomeng Dong

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Development of an explainable machine learning model for Alzheimer’s disease prediction using clinical and behavioural features by Rajkumar Govindarajan, K. Thirunadanasikamani, Komal Kumar Napa, S. Sathya, J. Senthil Murugan, K. G. Chandi Priya

“…Key predictive variables such as Mini-Mental State Examination (MMSE), Activities of Daily Living (ADL), cholesterol levels, and functional assessment scores were identified and visualized using SHAP-based insights. A user-friendly, interactive web application was developed using Streamlit, allowing real-time patient data input and transparent model output visualization. …”
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An open-source workflow for identifying hydrodynamic water quality events in rivers by continuous water quality monitoring and time-series data processing using R and US EPA CANARY by L. Cronin, C.M. Taylor, C. Briciu Burghina, F.E. Lucy, F. Regan

“…Improving European surface water quality requires urgent action to address diffuse pollution sources particularly from agriculture, with increased frequency and intensity of hydroclimatic events also a key driver of pollutant export to waters and water quality decline worldwide.However, the need for comprehensive, practical protocols for sensor deployment, sensor maintenance and data management for the adoption of high frequency water quality monitoring has been highlighted, along with the challenges for citizen scientists in analyzing millions of water quality data points and sharing metadata. The practical method presented, with reproducibility built into the workflow, is designed for multiple users and a step-by-step application of the workflow is demonstrated including: • Deployment arrangement for water quality sondes in two temporary monitoring stations with different site characteristics. • Data collection and data validation methods. • Concise, reproducible, open-source workflow detailing the use of R, R markdown and US EPA CANARY software for data import, data cleaning, data visualization, data integrity, along with site-specific CANARY event system configuration for the detection of potential water quality events.Results for two monitoring stations on different rivers show CANARY successfully identified 100 % (n 47) and 97 % (n 39) of the manually identified turbidity events.…”
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GradCAM-PestDetNet: A deep learning-based hybrid model with explainable AI for pest detection and classification by Ramitha Vimala, Saharsh Mehrotra, Satish Kumar, Pooja Kamat, Arunkumar Bongale, Ketan Kotecha

“…Traditional pest detection methods are often slow, less accurate and reliant on expert knowledge. …”
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Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports by Yuxin Liu, Xiang Zhang, Weiwei Cao, Wenju Cui, Tao Tan, Yuqin Peng, Jiayi Huang, Zhen Lei, Jun Shen, Jian Zheng

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Real-time volume rendering for three-dimensional fetal ultrasound using volumetric photon mapping by Jing Zou, Jing Qin

“…This study presents a novel real-time volume-rendering method equipped with a global illumination model for 3D fetal ultrasound visualization. …”
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LViT-Net: a domain generalization person re-identification model combining local semantics and multi-feature cross fusion by Xintong Hu, Peishun Liu, Xuefang Wang, Peiyao Wu, Ruichun Tang

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Principal component analysis and fine-tuned vision transformation integrating model explainability for breast cancer prediction by Huong Hoang Luong, Phuc Phan Hong, Dat Vo Minh, Thinh Nguyen Le Quang, Anh Dinh The, Nguyen Thai-Nghe, Hai Thanh Nguyen

“…Our approach exhibited a 0.98% to 17.13% improvement in accuracy compared with state-of-the-art methods, establishing a new benchmark for breast cancer histopathological image classification.…”
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Deep learning radiomics of elastography for diagnosing compensated advanced chronic liver disease: an international multicenter study by Xue Lu, Haoyan Zhang, Hidekatsu Kuroda, Matteo Garcovich, Victor de Ledinghen, Ivica Grgurević, Runze Linghu, Hong Ding, Jiandong Chang, Min Wu, Cheng Feng, Xinping Ren, Changzhu Liu, Tao Song, Fankun Meng, Yao Zhang, Ye Fang, Sumei Ma, Jinfen Wang, Xiaolong Qi, Jie Tian, Xin Yang, Jie Ren, Ping Liang, Kun Wang

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RStoolbox: An R package for remote sensing data analysis by Konstantin Müller, Jakob Schwalb‐Willmann, Martin Wegmann, Benjamin Leutner

“…Therefore, it is crucial to not only gather data but also to analyse, visualize and present the findings. rstoolbox R package offers a suite of functions for (a) preprocessing, (b) analysis and (c) visualization of (multi‐band) remote sensing data, implementing state‐of‐the‐art methods such as unsupervised and supervised classification, or spectral unmixing or change vector analysis. …”
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Automated pipeline for leaf spot severity scoring in peanuts using segmentation neural networks by Joshua Larsen, Jeffrey Dunne, Robert Austin, Cassondra Newman, Michael Kudenov

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Migration Mapper: Identifying movement corridors and seasonal ranges for large mammal conservation by Jerod A. Merkle, Josh Gage, Hall Sawyer, Blake Lowrey, Matthew J. Kauffman

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Temporal resolution trumps spectral resolution in UAV-based monitoring of cereal senescence dynamics by Flavian Tschurr, Lukas Roth, Nicola Storni, Olivia Zumsteg, Achim Walter, Jonas Anderegg

“…Correlation coefficients of up to 0.8 were observed between multispectral (NDVIred668-index) and visual scoring, respectively 0.9 between RGB (ExGR-index) and visual scoring. …”
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The game of language learning and rewiring biocognitive receptors by Sri Takshara K, Bhuvaneswari G, T.S. Pradeep Kumar

“…By fostering low-stress, immersive environments, it triggers positive epigenetic changes, enhancing long-term cognitive flexibility. This method article presents an interdisciplinary inclusive scientific framework that unites gamification, technology, epigenetics, and neuroscience, empowering learners and promoting sustainable well-being, while laying the groundwork for intergenerational academic and personal growth. • To propose a teaching methodology that aims to bridge gaps in traditional and game based language teaching by integrating neuroscience and epigenetics, creating an inclusive framework tailored to meet the unique needs of visually impaired learners. • The method emphasizes creating stress-free, rewarding educational environments that induce neural and epigenetic changes. …”
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Mapping Gene Expression in Whole Larval Brains of <i>Bicyclus anynana</i> Butterflies by Tirtha Das Banerjee, Linwan Zhang, Antónia Monteiro

“…The genes included <i>optomotor blind</i> (<i>omb</i>), <i>yellow-like</i>, <i>zinc finger protein SNAI2-like</i> (<i>SNAI2</i>), <i>weary</i> (<i>wry</i>), <i>extradenticle</i> (<i>exd</i>), <i>Synapsin</i>, <i>Distal-less</i> (<i>Dll</i>), <i>bric-à-brac 1</i> (<i>bab1</i>), <i>dachshund</i> (<i>dac</i>), and <i>acetyl coenzyme A acetyltransferase B</i> (<i>AcatB</i>). This method can be used alongside single-cell sequencing to visualize the spatial location of brain cells that change in gene expression or splicing patterns in response to specific behaviors or cognitive experiences.…”
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WAYVision: A hybrid deep learning approach for recognizing handwritten Kannada Braille using wavelet transformation and attention based YOLOv5 by Bipin Nair B J, Niranjan, Saketh P, Shobha Rani N

“…This study aims to contribute significantly to the empowerment of visually impaired communities through advancements in automated Braille recognition systems. • The study addresses the challenge of handwritten Kannada Braille recognition using a uniquely curated dataset from Kaggle and blind schools, divided into vowels and consonants. • The proposed system achieves high accuracy (97.9 % for 70:30 and 98.7 % for 80:20 split) showing superior feature extraction and handling of spatial misalignments in Braille dots. • Comparative analysis of state-of-the-art methods confirms the model’s efficiency in overcoming limitations of conventional techniques, contributing to assistive technology for visually impaired communities.…”
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