A novel deep learning technique for multi classify Alzheimer disease: hyperparameter optimization technique by A. S. Elmotelb, Fayroz F. Sherif, A. S. Abohamama, A. S. Abohamama, Mahmoud Fakhr, Amr M. Abdelatif

“…A progressive brain disease that affects memory and cognitive function is Alzheimer’s disease (AD). To put therapies in place that potentially slow the progression of AD, early diagnosis and detection are essential. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…By rapid UTI detection, the proposed methodology reduces diagnostic delays, minimizes human error, and streamlines laboratory workflows. …”
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Assessing the Influence of Selected Permeabilization Methods on Lymphocyte Single-Cell Multi-Omics by Shifan Ding, Na Lu, Hassan Abolhassani

“…(1) Background: Single-cell multi-omics is a powerful method for the dissection and detection of complicated immunologic functions and synapses. …”
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Impact of low testing numbers on chronic wasting disease apparent prevalence by Jameson J. Mori, Nelda A. Rivera, William M. Brown, Daniel J. Skinner, Peter E. Schlichting, Jan E. Novakofski, Nohra E. Mateus-Pinilla

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Utilizing a Transient Electromagnetic Inversion Method with Lateral Constraints in the Goaf of Xiaolong Coal Mine, Xinjiang by Yingying Zhang, Bin Xie, Xinyu Wu

“…The abandoned goaf resulting from coal resource integration in China poses a significant threat to coal mine safety. …”
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A Dataset of Lower Band Whistler Mode Chorus and Exohiss with Instrumental Noise Thresholds by Ondřej Santolík, Ivana Kolmašová, Ulrich Taubenschuss, Miroslav Hanzelka, David P. Hartley

“…We also remove all data points which may be contaminated by instrumental noise using a newly developed method to define detection thresholds as a function of frequency, time, and instrument settings. …”
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Sequence analysis of tyrosine recombinases allows annotation of mobile genetic elements in prokaryotic genomes by Georgy Smyshlyaev, Alex Bateman, Orsolya Barabas

“…This work provides a resource for comparative analysis and functional annotation of YRs and aids the development of computational tools for MGE annotation. …”
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CLASSIFYING LIVER DISEASE WITH BOOSTING MACHINE LEARNING APPROACHES by Erol Özçekiç, Ümit Yılmaz

“…Liver diseases pose a significant global health challenge due to their impact on metabolic function and the difficulty of early detection. Traditional diagnostic methods such as liver biopsy have limitations due to their invasive nature and high costs. …”
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Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory by Zilong Zhao, Luliang Tang, Chang Ren, Xue Yang, Zihan Kan, Qingquan Li

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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

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Double-transmitting and Sextuple-receiving Borehole Transient Electromagnetic Method and Experimental Study by Bo Wang, Shengdong Liu, Shining Li, Fubao Zhou

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Accelerating two-dimensional electronic spectroscopy simulations with a probe qubit protocol by José D. Guimarães, James Lim, Mikhail I. Vasilevskiy, Susana F. Huelga, Martin B. Plenio

“…We evaluate the computational resources necessary for this protocol in detail, demonstrating its function as a dynamic frequency-filtering method through numerical simulations. …”
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Glucose Sensing in Saliva by Jacopo Giaretta, Riccardo Zulli, Theja Prabhakar, Ronil J. Rath, Sina Naficy, Sara Spilimbergo, Paul S. Weiss, Syamak Farajikhah, Fariba Dehghani

“…Abstract Glucose plays critical roles in many human body functions, above all as a source of energy. Abnormal levels of glucose are correlated to different diseases, importantly including diabetes. …”
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The transcription factor Ste12 mediates the regulatory role of the Tmk1 MAP kinase in mycoparasitism and vegetative hyphal fusion in the filamentous fungus Trichoderma atroviride. by Sabine Gruber, Susanne Zeilinger

“…An essential step in this mycoparasitic fungus-fungus interaction is the detection of the fungal host followed by activation of molecular weapons in the mycoparasite by host-derived signals. …”
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Finding RB/Rpi-blb1/Rpi-sto1-like sequences in conventionally bred potato varieties by O. Y. Antonova, N. S. Klimenko, Z. Z. Evdokimova, L. I. Kostina, T. A. Gavrilenko

“…At the same time there is a high probability of finding geno types with the Rpi-sto1 gene (functional homologues of  Rpi-blb1) among conventionally bred varieties because for about 40 years S. stoloniferum has been used in breeding as a source of the Rysto and Ry-fsto genes of the extreme resistance to the most important viral pathogen PVY. …”
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Research and application of bolter miner airborne drilling rig by Zhixiang Liu, Zhenyu Li, Kang Zou, Chunxue Xie

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Insect seedling herbivory is influenced by multiple factors, but the plant apparency theory is more supported than other hypotheses – A case study in a subtropical forest by Baozhu Yuan, Bo Wang

“…This, in turn, exerts a significant influence on forest community diversity and structure, as well as ecosystem function and stability. Notable variation in herbivory has been detected both among and within plant species. …”
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Comparison and Evaluation of Rain Gauge, CMORPH, TRMM PR and GPM DPR KuPR Precipitation Products over South China by Rui Wang, Huiping Li, Hao Huang, Liangliang Li

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Restoration of Turbid Underwater Images of Cobalt Crusts Using Combined Homomorphic Filtering and a Polarization Imaging System by Enzu Peng, Chengyi Liu, Haiming Zhao

“…Marine cobalt-rich crusts, extensively used in industries such as aerospace, automotive, and electronics, are crucial mineral resources located on the ocean floor. To effectively exploit these valuable resources, underwater imaging is essential for real-time detection and distribution mapping in mining areas. …”
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A novel approach to field data augmentation with remote sensing and machine learning in rangelands by Hailey E. Schmidt, Javier Osorio Leyton, Efrain Noa Yarasca, Sorin C. Popescu, Justinn J. Jones, Justin P. Wied, Xinyuan Wu

“…However, these ecosystems are increasingly threatened by woody plant encroachment (WPE), which impacts forage availability, habitat quality, and other ecosystem functions. Despite advances in remote sensing and machine learning (ML) for monitoring and managing WPE, a significant gap persists in providing effective, scalable, and high-quality training data to support early detection efforts. …”
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