CMCD: A Consistency Model-Based Change Detection Method for Remote Sensing Images by Xiongjie Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

“…To address these challenges, we propose a novel consistency model-based change detection method (CMCD), which directly generates high-quality change detection maps in one or a few steps. …”
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An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…Hence, it is essential to detect the presence of spam bots on Twitter. In order to detect spam bots on Twitter, an effective feature selection technique using a novel hybrid deep learning model is introduced in this paper. …”
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Evaluating the effects of coffee consumption on the structure and function of the heart from multiple perspectives by Xiong-Bin Ma, Yan-Lin Lv, Lin Qian, Jing-Fen Yang, Qian Song, Yong-Ming Liu

“…ObjectiveTo assess the causal relationship between coffee consumption and cardiac structure and function in elderly European populations using multiple genetic methodologies.MethodsLeveraging genome-wide association study (GWAS) data from elderly European populations, we conducted linkage disequilibrium score regression (LDSC), two-step Mendelian randomization (MR), and colocalization analyses to investigate genetic associations, causal relationships, and mediating effects among these factors. …”
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Automated Allergen Sample Preparation and Detection via Centrifugal Microfluidic Lateral Flow Assay by Bastian Breiner, Daniel M. Kainz, Stefan Wagner, Maxime Gavage, Serhat Sahakalkan, Riccardo Marega, Felix von Stetten, Anna Klebes

“…Overall, this system aims to aid in food allergen detection with high sensitivity and minimized manual steps.…”
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Green One-Step Synthesis and Characterization of Fluorescent Carbon Quantum Dots from PET Waste as a Dual-Mode Sensing Probe for Pd(II), Ciprofloxacin, and Fluoxetine via Fluoresce... by Christian Ebere Enyoh, Qingyue Wang, Weiqian Wang, Miho Suzuki, Go Masuda, Daisuke Nakajima, Senlin Lu

“…In this study, we report a green, one-step synthesis of fluorescent carbon quantum dots (PET-FCQDs) derived from polyethylene terephthalate (PET) waste using an environmentally friendly pyrolytic method. …”
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Automated Soma Detection in Whole-Brain Imaging via Post-Tracing Multi-Furcation Morphometry by Gu Xiaoqin

“…Accurate single-neuron morphology reconstruction is essential for understanding brain structure and function. A critical step in this process is the detection of somas in 3D brain images, which remains a challenge due to the complex structure of the brain and the large amount of whole brain imaging data [1]. …”
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Harmonic Detection Algorithm for Traction Power Supply System Based on ICEEMDAN and Teager Energy Operator by XIE Zeen

“…The first step is to process the signal to be detected into a set of intrinsic mode function (IMF) components through ICEEMDAN, and then obtain the true IMF components by filtering out the false ones. …”
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Fault Type Determination on Distribution Networks Lines within Functions of Microprocessor Current Protections by F. A. Romaniuk, A. A, Tishechkin, E. V. Buloichyk

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Association of Fatigue Severity with Balance, Strength, and Functional Independence in Community Dwelling Poststroke Hemiparesis by Nehal Harshad Bhai Prajapati, Shraddha Jasmin Diwan

“…Conclusion: Fatigue can be a contributory factor for loss balance, strength, and functional independence. Early detection and treatment of fatigue can, therefore, help to reduce imbalance, functional dependence, and the risk of falling.…”
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PCA and PSO based optimized support vector machine for efficient intrusion detection in internet of things by Mutkule Prasad Raghunath, Shyam Deshmukh, Poonam Chaudhari, Sunil L. Bangare, Kishori Kasat, Mohan Awasthy, Batyrkhan Omarov, Rajesh R. Waghulde

“…The accuracy of the Intrusion Detection System (IDS) based on Particle Swarm Optimisation (PSO) is 98.5 percent. …”
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Detecting non-neutral modules in species co-occurrence data: principles and application to plant communities by Fabien Laroche, Bodil Ehlers

“…We tested our framework on virtual data and successfully retrieved pre-defined functional groups without generating false positive detections. …”
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SERS-based aptasensor for culture-free detection of Escherichia coli in urinary tract infection diagnosis by Kihyun Kim, Sohyun Park, Suyoung Kang, Mi-Kyung Lee, Lingxin Chen, Jaebum Choo

“…The sensor utilizes magnetic beads embedded with gold nanoparticles (MB-AuNPs) functionalized with capture DNA (cDNA) as both the SERS-active substrate and magnetic separation tool. …”
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG by Raquel Fernández-Martín, Alfonso Gijón, Odile Feys, Elodie Juvené, Alec Aeby, Charline Urbain, Xavier De Tiège, Vincent Wens

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The CPEB protein Orb2 has multiple functions during spermatogenesis in Drosophila melanogaster. by Shuwa Xu, Nathaniel Hafer, Blessing Agunwamba, Paul Schedl

“…Drosophila has a single CPEB gene, orb and orb2, from each subfamily. orb expression is only detected at high levels in the germline and has critical functions in oogenesis but not spermatogenesis. …”
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The PINK1-Parkin mitophagy signalling pathway is not functional in peripheral blood mononuclear cells. by Aaron V Bradshaw, Philip Campbell, Anthony H V Schapira, Huw R Morris, Jan-Willem Taanman

“…Our findings suggest that the PINK1 -Parkin mitophagy signalling pathway is not functional in PBMCs. Therefore, PBMCs are not a suitable biosample for analysis of mitophagy function in Parkinson disease patients.…”
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A rapid and robust protocol for generating loss-of-function alleles in pluripotent stem cells by Erdene Baljinnyam, Laura Grisanti, Shalini Tattari, Chiara Pedicone, Bhavana Shewale, Nicole Dubois, Alison M. Goate, William G. Kerr, Samuele G. Marro

“…Summary: The generation of loss-of-function alleles in human pluripotent stem cells (hPSCs) is used to interrogate gene function and validate reagents; however, identifying clones harboring true loss-of-function alleles remains inefficient. …”
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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain by Ruchika Sharma, Sameena Naaz, Pankaj Vaidya

“…This model combines steps such as tomato leaf image data collection, image data preprocessing, and classification and detection of disease. …”
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Clinical Implications of Social Anxiety Disorder (SAD) and its Detection Methods- A Systematic Review by Dian Pitaloka Priasmoro, Yuni Asri

“…Background: A common symptom of SAD is significant impairment in interpersonal relationships that can affect various aspects of life as well as daily functioning and lead to decreased quality of life. Individuals with high social anxiety will tend to withdraw from social environments. …”
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Obstacle Detection in Hybrid Cross-Country Environment Based on Markov Random Field for Unmanned Ground Vehicle by Feng Ding, Yibing Zhao, Lie Guo, Mingheng Zhang, Linhui Li

“…Secondly, line segment nodes are precisely positioned by using corner detection method, and the next step is to take advantage of line segment nodes to build an undirected graph for Markov random field. …”
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ST-YOLOv8: Small-Target Ship Detection in SAR Images Targeting Specific Marine Environments by Fei Gao, Yang Tian, Yongliang Wu, Yunxia Zhang

“…In the neck network, the Shuffle Attention (SA) module is employed before each upsampling step to improve upsampling quality. Additionally, we replace the Complete Intersection over Union (C-IoU) loss function with the Wise Intersection over Union (W-IoU) loss function, which enhances bounding box precision. …”
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