Accelerated dynamic light sheet microscopy: unifying time-varying patterned illumination and low-rank and sparsity constrained reconstruction by Marco Tobia Vitali, Alessia Candeo, Andrea Farina, Paolo Pozzi, Alessia Brix, Andrea Bassi, Teresa M Correia

“…This method was applied to the volumetric imaging of embryonic zebrafish hearts, achieving an improvement in imaging speed of 4-fold compared to standard LSFM and a 2-fold improvement compared to traditional compressed sensing approaches, while preserving reconstruction accuracy and enabling the visualization of fast dynamic events with a resolution of a few tens of milliseconds. …”
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Colony Formation, Migratory, and Differentiation Characteristics of Multipotential Stromal Cells (MSCs) from “Clinically Accessible” Human Periosteum Compared to Donor-Matched Bone... by Heather E. Owston, Payal Ganguly, Giuseppe Tronci, Stephen J. Russell, Peter V. Giannoudis, Elena A. Jones

“…Periosteal colonies were more homogenous in size (range 2-30 mm2 vs. 2-54 mm2) and on average 2500-fold more frequent (2.0% vs. 0.0008%, n=10, P=0.004) relative to total viable cells. …”
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Optimized extraction and kinetic study of cholesterol oxidase from a newly isolated Escherichia fergusonii strain from local whey samples: insights through a combined experimental... by Simin Khataee, Gholamreza Dehghan, Samaneh Rashtbari, Arezu Marefat, Sina Jamei, Hamed Farzi-Khajeh

“…This study aimed to isolate a novel ChoX-producing bacterial strain from whey samples. …”
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Synthesis and in vitro evaluation of spirobenzovesamicols as potential 11C-PET tracer alternatives to [18F]FEOBV for vesicular acetylcholine transporter (VAChT) imaging by Hugo Helbert, Winnie Deuther-Conrad, Michel de Haan, Barbara Wenzel, Gert Luurtsema, Wiktor Szymanski, Peter Brust, Rudi A. J. O. Dierckx, Ben L. Feringa, Philip H. Elsinga

“…Modern labelling techniques, in this case the [11C]MeLi cross-coupling methodology, expands labelling opportunities, allowing to explore novel vesamicol-based structures as potential PET-tracers. …”
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Pyrrocidines A and B demonstrate synergistic inhibition of Fusarium verticillioides growth by Lily W. Lofton, Lily W. Lofton, Quentin D. Read, Hailey L. Hamilton, Anthony E. Glenn, Jaci A. Hawkins, Trevor R. Mitchell, Scott E. Gold

“…Previous transcriptomic analyses found FvZBD1 (FVEG_00314), a gene adjacent to the fumonisin biosynthetic gene cluster, to be induced over 4,000-fold in response to pyrrocidine challenge. Deletion of FvZBD1 resulted in dramatic increases in fumonisin production (FB1 >30-fold). …”
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Leveraging hybrid model of ConvNextBase and LightGBM for early ASD detection via eye-gaze analysis by Ranjeet Bidwe, Sashikala Mishra, Simi Bajaj, Ketan Kotecha

“…This proposed work offers • A novel method of ConvNextBase and LightGBM leveraging eye position as a feature for early detection of autistic traits. • A new ConvNextBase architecture proposed with few unfreezed layers and extra dense layers with units of 512 and 128, respectively, and dropout layers with a rate of 0.5 that extract rich, high-level, and more complex features from the images to improve generalization and mitigate overfitting. • A LightGBM model performed classification using 3-fold cross-validation and found the best parameters for bagging_function, feature_fraction, max_depth, Number_of_leaves and learning_rate with values of 0.8, 0.8, −1, 31 and 0.1 respectively, to improve the model's robustness on unseen data.This proposed method is trained and tested on the publicly available Kaggle dataset, and results are benchmarked with other state-of-the-art methods. …”
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Pseudocapacitive performance of cobaltite and nickel cobaltite electrodes fabricated by layer-by-layer chemical deposition method by Mahdi Kazazi, Mohsen Mirzaie, Javad Rahimi Junaqani

“…The development of efficient strategies for fabricating binder-free electrodes to electrochemical energy storage applications is of interest. Here, a novel approach of layer-by-layer chemical deposition was proposed for the preparation of binderless cobaltite (Co3O4) and nickel cobaltite (NiCo2O4) pseudocapacitive electrodes. …”
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Improved jet lag recovery is associated with a weaker molecular biological clock response around the time of expected activity onset by Marie-Claire Boutrin, Melissa E. S. Richardson, Feyikemi Oriola, Samira Bolo

“…The further addition of light during the jet lag recovery period reduced typical changes in circadian gene expression in the SCN to minimal levels under both LD cycles.DiscussionThis study uncovers a novel explanation for the impact of multiple disruptive light exposures on gene expression of the molecular SCN clock in the brain.…”
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Machine-Learning-Driven Identification of Electrical Phases in Low-Sampling-Rate Consumer Data by Dilan C. Hangawatta, Ameen Gargoom, Abbas Z. Kouzani

“…This study addresses this gap by proposing a novel method that employs a fully connected neural network (FCNN) to predict household phases from energy consumption data. …”
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Systematic benchmarking of deep-learning methods for tertiary RNA structure prediction. by Akash Bahai, Chee Keong Kwoh, Yuguang Mu, Yinghui Li

“…Overall among the automated 3D RNA structure prediction methods, DeepFoldRNA has the best prediction results followed by DRFold as the second best method. …”
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Cooperative Identification of Prolonged Motor Movement From EEG for BCI Without Feedback by Alicia Falcon-Caro, Joao Filipe Ferreira, Saeid Sanei

“…This paper presents a novel approach for recognition of prolonged motor movements from a subject’s electroencephalogram (EEG) using orthogonal functions to model a sequence of sub-gestures. …”
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Removal of Hg from Real Polluted Sediments Using Enhanced-EK Decontamination: Verification of Experimental Methods and Batch-Test Preliminary Results by Danilo Malarbì, Pietro P. Falciglia, Federico G. A. Vagliasindi

“…In this work, data from batch-tests using different novel biosurfactant agents were reported. In addition, a dedicated EK bench-scale apparatus was designed and carried out. …”
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Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

“…This issue is particularly problematic for self-assembling protein nanomaterials, where unexpected geometries may reflect novel assembly states, cross-contamination, or native proteins originating from the expression host. …”
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Linking machine learning and biophysical structural features in drug discovery by Armin Ahmadi, Shivangi Gupta, Vineetha Menon, Jerome Baudry

“…By leveraging pharmacophore descriptors, the AI/ML framework prioritized features uniquely associated with ligand-selected conformations, enabling a mechanism-driven understanding of binding interactions. This novel approach integrates biophysical insights with machine learning, focusing on pharmacophoric properties such as charge, hydrogen bonding, hydrophobicity, and aromaticity.ResultsResults showed significant enrichment of true positive ligands—improving database enrichment by up to 54-fold compared to random selection—demonstrating the robustness of this approach across diverse proteins.ConclusionUnlike conventional structure-based or ligand-based screening methods, this work emphasizes the role of specific protein conformations in driving ligand binding, making the process highly interpretable and actionable for drug discovery. …”
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Identification and functional analysis of light-responsive unique genes and gene family members in rice. by Ki-Hong Jung, Jinwon Lee, Chris Dardick, Young-Su Seo, Peijian Cao, Patrick Canlas, Jirapa Phetsom, Xia Xu, Shu Ouyang, Kyungsook An, Yun-Ja Cho, Geun-Cheol Lee, Yoosook Lee, Gynheung An, Pamela C Ronald

“…Using a rice NSF45K oligo-microarray to compare 2-week-old light- and dark-grown rice leaf tissue, we identified 365 genes that showed significant 8-fold or greater induction in the light relative to dark conditions. …”
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ML-Based Quantitative Analysis of Linguistic and Speech Features Relevant in Predicting Alzheimer’s Disease by Tripti Tripathi, Rakesh Kumar

“…This study presents a novel approach for detecting and classifying six types of cognitive impairment using speech-based analysis, including probable AD, possible AD, mild cognitive impairment (MCI), memory impairments, vascular dementia, and control. …”
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A systematic approach and mathematical review to textile production optimization: implementing lean six sigma DMAIC for enhanced product consistency and quality in the field of ind... by Chandan Chandra Sheel

“…This paper introduces a novel  LSS framework tailored for the textile industry, especially Small and Medium-sized Enterprises (SMEs). …”
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Identifying natural inhibitors against FUS protein in dementia through machine learning, molecular docking, and dynamics simulation by Darwin Li

“…We chose a route of computational work that involves targeting natural inhibitors of the FUS protein, offering a novel treatment strategy. We first reviewed the FUS protein's framework; early forecasting models using the AlphaFold2 and SwissModel algorithms indicated a loop-rich protein—a structure component correlating with flexibility. …”
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Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

“…This study pioneers an innovative approach to improve the accuracy and dependability of emotion recognition (ER) systems by integrating electroencephalogram (EEG) with electrocardiogram (ECG) data. We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. …”
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Deep learning-based CT-free attenuation correction for cardiac SPECT: a new approach by Pei Yang, Zeao Zhang, Jianan Wei, Lisha Jiang, Liqian Yu, Huawei Cai, Lin Li, Quan Guo, Zhen Zhao

“…The network was trained on 167 cardiac SPECT/CT studies using 5-fold cross validation and tested in an independent testing set (n = 35), with CTAC serving as the reference. …”
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