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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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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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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The Bayesian mixture expert recognition model for tobacco leaf curing stages based on feature fusion by Panzhen Zhao, Shijiang Duan, Songfeng Wang, Aihua Wang, Lingfeng Meng, Zhicheng Wang, Yingpeng Dai

“…Various feature fusion methods (concatenate fusion, scaled fusion, adaptive gated fusion) are employed to construct multi-level feature representations. …”
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Bridging language gaps: The role of NLP and speech recognition in oral english instruction by Parul Dubey, Pushkar Dubey, Rohit Raja, Sapna Singh Kshatri

“…These technologies facilitate personalized and adaptive learning, making pronunciation and fluency improvement more efficient. Traditional methods lack real-time speech assessment and individualized feedback, limiting learners' progress. …”
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Dual discriminator GAN-based synthetic crop disease image generation for precise crop disease identification by Chao Wang, Yuting Xia, Lunlong Xia, Qingyong Wang, Lichuan Gu

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The theme-centred interview and the map of meanings: A phenomenological approach to the analysis of experience by Maria Armezzani, Luca Zamengo

“…This paper presents a methodological proposal for phenomenological interviewing, the theme-centred interview, designed to facilitate in-depth exploration of the meanings experienced in relation to a theme. The method is rooted in the phenomenological tradition, but incorporates innovative aspects, including the systematic use of aphorisms, a specific coding system with qualitative criteria that encompasses elements of the researcher's experience, and the use of existential categories to frame results within a phenomenological context. …”
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Critical size defect in a rat calvaria model using trephination: An animal model for investigating potential bone regenerative scaffolds by Jeffrey Huang, Jithendra Ratnayake, George J. Dias

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The Multifunctional Catalytic Hemoglobin from <i>Amphitrite ornata</i>: Protocols on Isolation, Taxonomic Identification, Protein Extraction, Purification, and Characterization by Anna L. Husted, Victoria R. Sutton, Lauren A. Presnar, R. Kevin Blackburn, Joseph L. Staton, Stephen A. Borgianini, Edward L. D’Antonio

“…In order to discover more infaunal DHP-bearing candidates, we have devised a facilitated method for an accurate taxonomic identification that places visual and molecular taxonomic approaches in parallel. …”
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Recovering the polyhedral geometry of fragmentsThe manuscript contains the link to the data by János Török, Gábor Domokos

“…Beyond identifying the ideal polyhedral approximation for fragments, our method is also capable of tracing backward the shape evolution of rounded pebbles to their origins.…”
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Imaging Flow Cytometry in HIV Infection Research: Advantages and Opportunities by Kirill. A. Elfimov, Dmitriy. A. Baboshko, Natalya. M. Gashnikova

“…Many of these methods rely on fluorescent dyes to help visualize specific parts of the virus or infected cells. …”
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Development and testing of a device to detect trigger points, and local twitch responses in dry needling intervention by Manoj Kumar Sharma, Sarika Chaudhary, Hardika Sood

“…Not all LTRs are perceptible through visual observation or tactile sensation during the intervention. …”
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Best practices for physiological data collection in youth with autism and co-occurring mental health diagnoses: Implications for human-animal intervention research by Cory M. Smith, Katharine Weimann, Madison Widick, Tamara Merritt, Hannah Christensen, Matthew Siegel, Zhaoxing Pan, Robin L. Gabriels

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