Gut Microbiome rewiring via fecal transplants: Uncovering therapeutic avenues in Alzheimer’s disease models by Prabhat Upadhyay, Sudhir Kumar, Anurag Tyagi, Aayush Raj Tyagi, Tarun Barbhuyan, Sarika Gupta

“…Conclusion Targeted modulation of the gut microbiome through strategies like FMT may offer potential benefits in Alzheimer’s disease by influencing neuroinflammation, oxidative stress, and cognitive function. …”
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Removing Cardiac Artifacts From Single-Channel Respiratory Electromyograms by Eike Petersen, Julia Sauer, Jan GraBhoff, Philipp Rostalski

“…Template subtraction algorithms yield the best results if the characteristics of the raw signal are of interest, while filtering algorithms like simple high-pass filtering, wavelet denoising, and EMD-based denoising show superior performance for calculating a cleaned envelope signal. …”
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A Dual Core Source/Drain GAA FinFET by Prachuryya Subash Das, Deepjyoti Deb, Rupam Goswami, Santanu Sharma, Rajesh Saha, Hirakjyoti Choudhury

“…The response of the optimized architecture to presence of acceptor-like, and donor-like traps in oxide/ channel interface is presented. …”
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pytom-match-pick: A tophat-transform constraint for automated classification in template matching by Marten L. Chaillet, Sander Roet, Remco C. Veltkamp, Friedrich Förster

“…Using pytom-match-pick, we first quantify the effects of point spread function (PSF) weighting and show that a tilt-weighted PSF outperforms a binary wedge with a single defocus estimate. …”
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Sec-CLOCs: Multimodal Back-End Fusion-Based Object Detection Algorithm in Snowy Scenes by Rui Gong, Xiangsuo Fan, Dengsheng Cai, You Lu

“…Additionally, the DyHead detection head and Wise-IOU loss function are introduced to optimize YOLOv8s and improve 2D detection performance.The LIDROR algorithm preprocesses point cloud data for the SECOND detector, yielding 3D object detection results. …”
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Diagnosis and classification of neuromuscular disorders using Bi-LSTM optimized with grey Wolf optimizer for EMG signals by Ruth Keziah Mani, Balakrishnan Nagaraj

“…In particular, hand movement decoding from electromyography (EMG) signals has shown promise for understanding neuromuscular function and aiding in diagnosis and therapy for neuromuscular issues. …”
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Explainable artificial intelligence with temporal convolutional networks for adverse weather condition detection in driverless vehicles by Samah Alzanin

“…Adverse environmental conditions like dust or sandstorms, fog, heavy snow, and rain conditions are unsafe limitations on the function of the cameras by decreasing visibility and influencing driving safety. …”
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Acousto-optic cryptosystem based on dynamic DNA encoding and hyperchaotic system in gyrator domains by Gege Sun, Wenbo Song, Miao Tian, Zhengjun Liu, Hang Chen

“…Traditional encryption algorithms like DES suffer from the issue of key length (128 bits to 256 bits) and the inconvenience of memorization. …”
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Robust Predictive Current Control of IMs With MRAS-Based Parameter Estimation by Gabriel Caramori, Igor Oliani, Angelo S. Lunardi, Alfeu J. Sguarezi Filho

“…However, the motor performance is often influenced by parameter mismatches, which can degrade control precision. …”
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MSO‐DETR: Metric space optimization for few‐shot object detection by Haifeng Sima, Manyang Wang, Lanlan Liu, Yudong Zhang, Junding Sun

“…This metric space is more suitable for representing tree‐like structures between categories for image scene analysis. …”
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Finding Pareto trade-offs in fair and accurate detection of toxic speech by Soumyajit Gupta, Venelin Kovatchev, Anubrata Das, Maria De-Arteaga, Matthew Lease

“…We show how model-agnostic, HyperNetwork optimization can efficiently train arbitrary NLP model architectures to learn Pareto-optimal trade-offs between competing metrics like predictive performance vs. group fairness. …”
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Melanopic Contribution of Display Image to Alertness, Attention, Brightness Perception, and Visual Fatigue by Nianfang Zhu, Yan Tu, Lili Wang, Yunyang Shi

“…A multimodal assessment, including subjective brightness ratings, Karolinska Sleepiness Scale (KSS) evaluations, reaction time of Psychomotor Vigilance Task (PVT), d2 test of attention performance metrics, eye movement parameters, and visual function parameters was applied. …”
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Accurate and Data‐Efficient Micro X‐ray Diffraction Phase Identification Using Multitask Learning: Application to Hydrothermal Fluids by Yanfei Li, Juejing Liu, Xiaodong Zhao, Wenjun Liu, Tong Geng, Ang Li, Xin Zhang

“…Additionally, introducing a tailored cross‐entropy loss function improves MTL model performance. Most significantly, MTL models tuned to analyze raw and unmasked XRD patterns achieve close performance to models analyzing preprocessed data, with minimal accuracy differences. …”
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Capsaicin (But Not Other Vanillins) Enhances Estrogen Binding to Its Receptor: Implications for Power Sports and Cancers by Maja Pietrowicz, Robert Root-Bernstein

“…Capsaicin (CAP), the pain-inducing compound in chili peppers, exerts its effects mainly through the transient receptor potential vanilloid channel 1 (TRPV1), which mediates pain perception and some metabolic functions. CAP has also been demonstrated to improve performance in power sports (but not endurance sports) and does so mainly for females. …”
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State-Space Method-Based Frame Dynamics Analysis of the Six-Rotor Unmanned Aerial Vehicles by Ruijing Liu, Yu Liu, Yi Zhang

“…These vibrations, often generated by motor-propeller systems or aerodynamic forces, can lead to structural fatigue during flight or cause image blur in payloads like cameras. To analyze the dynamic performance of the six-rotor UAV frame, this paper develops a state-space model based on linear state-space theory, structural dynamics principles, and modal information. …”
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Deep Learning-Based Multitarget Motion Shadow Rejection and Accurate Tracking for Sports Video by Chunxia Duan

“…The detector first scans each sports video image frame one by one, observing the previously discovered and learned image frame subregions one by one until the current moment that is highly like the target to be tracked. The preprocessed remote sensing images are converted into grayscale images, the histogram is normalized, and the appropriate height threshold is selected in combination with the regional growth function to realize the rejection of sports video multitarget motion shadow and establish the sports video multitarget network model. …”
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Influence of Biomass-Modified Asphalt Binder on Rutting Resistance by Mahyar Arabani, Mohadeseh Ebrahimi, Mohammad Mahdi Shalchian, Maryam Majd Rahimabadi

“…The high-temperature performance of asphalt binder is improved by bioshell waste, which increases rutting parameters. …”
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Neonatal febrile seizures: Dimethyl itaconate's role in behavioral recovery and glutathione enzyme modulation in adult rats. by Zohreh Ghotbeddin, Mohammad Abiri Jahromi, Ali Shahriari, Mohsen Peysokhan, Anahita Memar Dezfouli

“…Febrile seizures are common in children and can lead to neurological deficits like motor impairments, memory problems, and cognitive decline. …”
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Expression of <i>Drosophila melanogaster</i> V-ATPases in Olfactory Sensillum Support Cells by Kalpana Jain, Sinisa Prelic, Bill S. Hansson, Dieter Wicher

“…V-ATPases are ubiquitous and evolutionarily conserved rotatory proton pumps, which are crucial for maintaining various biological functions. Previous investigations have shown that a V-ATPase is present in the support cells of moth trichoid sensilla and influences their olfactory sensory neuron performance. …”
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ECG and power line noise removal from respiratory EMG signal using adaptive filters by OICC Press Authors

“…These include environmental noises like power line noise and also internal noises such as electrocardiographic noise. …”
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