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47141
Assessment of the size and shape of berries using the ImageJ program on the example of honeysuckle
Published 2022-10-01“…The berries were laid out on a white sheet of paper with a ruler on top of the glass and photographed with additional lighting from below. …”
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47142
Development of a Mobile Laser Measurement System for Subway Tunnel Deformation Detection
Published 2025-01-01“…Nevertheless, challenges persist, including substantial equipment costs, inadequate after-sales support, technological barriers, and limitations in customization. This paper develops a mobile laser measurement system that has been specifically developed for the purpose of detecting deformation in metro tunnels. …”
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47143
Heterogeneity analysis provides evidence for a genetically homogeneous subtype of bipolar-disorder.
Published 2025-01-01“…<h4>Results</h4>In this paper, we leverage recent advances in heterogeneity analysis to look for genetically-driven subgroups (i.e., biclusters) within the broad phenotype of Bipolar Disorder. …”
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47144
Responsible governance of genomics data and biospecimens in the context of broad consent: experiences of a pioneering access committee in Africa
Published 2025-02-01“…The experience we describe in this paper is of an access governance framework established under the Human, Heredity, and Health in Africa (H3A) consortium, given the task of managing wider access to the data and biospecimen resources collected via its various projects. …”
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47145
The Relationship Between Insufficient Sleep and Depressive Symptoms in Chinese Adolescents: A National Survey of Contributing Factors
Published 2025-01-01“…This study aimed to investigate the prevalence of depressive symptoms in adolescents with insufficient sleep and explore the role of associated factors using a nationally representative sample in China.Patients and Methods: A pen-and-paper survey was conducted among 24147 Chinese adolescents from November 2019 to January 2020. …”
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47146
Anthropometric Landmark Detection Network via Geodesic Heatmap on 3D Human Scan
Published 2024-01-01“…With advancement in computer vision and machine learning, researchers have increasingly focused on developing automated anthropometric data extraction technique. In this paper, we propose a deep learning method for automatic anthropometric landmark extraction from 3D human scans. …”
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47147
Genetic resources of vegetable crops: from breeding non-traditional crops to functional food
Published 2021-07-01“…The purpose of their separation in the State Register is to ensure the potential interest of investors and business structures in the sale of functional food on the market. The paper discusses in detail the most promising species of introduced vegetable crops from five families (Brassicaceae, Amaranthaceae, Solanaceae, Leguminosae, Cucurbitaceae). …”
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47148
Landscape risk analysis of the 2003 Barkal-Rangamati (5.7 Mw) earthquake in Bangladesh using geospatial techniques and people’s perceptions
Published 2025-12-01“…Planning and urban sustainability depend equally on understanding land use and land cover (LULC) change, variability, and landscape risk (LR) assessment in earthquake-prone areas. This paper considered Barkal town and its environs (BTEN), an earthquake-prone area close to the 2003 Barkal-Rangamati Earthquake (5.7 Mw) for the LR change analysis from 2001–2024. …”
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47149
Local control of S atoms on the Co-SACs for effective activation of PMS and degradation imidacloprid: Mechanism insights and toxicity evaluation
Published 2025-01-01“…Cobalt-based single-atom catalysts (Co-SACs) doped with sulfur atoms can serve as an efficient strategy to activate peroxymonosulfate (PMS) and degrade organic pollutants. The paper employed density functional theory and computational toxicology to deeply explore the mechanism and ecotoxicity of IMI when S atoms were introduced into Co-SACs for PMS activation. …”
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47150
Comparative analysis of the efficacy and safety of fixed-dose combinations versus their individual components for open-angle glaucoma
Published 2019-04-01“…., dosing and regimen are inflexible and cannot easily be regulated. The paper discusses the results of clinical trials which compare the efficacy and safety of the most common fixed-dose combinations and their individual components.…”
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47151
Predicting Response of Constructed Tunnel to Adjacent Excavation with Dewatering
Published 2021-01-01“…This paper proposes a new method for predicting the displacement and internal force of constructed tunnels induced by adjacent excavation with dewatering. …”
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47152
Autism Spectrum Disorder Classification with Interpretability in Children Based on Structural MRI Features Extracted Using Contrastive Variational Autoencoder
Published 2024-09-01“…However, most studies involve with datasets where participants’ age are above 5 and lack interpretability. In this paper, we propose a machine learning method for ASD classification in children with age range from 0.92 to 4.83 years, based on s-MRI features extracted using Contrastive Variational AutoEncoder (CVAE). 78 s-MRIs, collected from Shenzhen Children’s Hospital, are used for training CVAE, which consists of both ASD-specific feature channel and common-shared feature channel. …”
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47153
Application of Big Data Technology to Assessments of Female Ovarian Reserve Dysfunction
Published 2025-01-01“…This paper evaluated the potential application of big data technology to assessments of diminished ovarian reserve (DOR). …”
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47154
Implementation of a Smart Home Intruder Detection System using a Vibrometer and ESP 32 CAM
Published 2025-01-01“…The topic of security is quite important; hence this paper presents the development and implementation of a Smart Intruder Detection System utilizing the ESP32-CAM board, the Vibrometer and the ATMega328P microcontroller to enhance lighting, security, and surveillance functionalities. …”
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47155
Diagnosis of Autism Spectrum Disorder (ASD) by Dynamic Functional Connectivity Using GNN-LSTM
Published 2024-12-01“…To overcome the lack of time-scale information in static functional connectivity analysis, in this paper, we proposes an innovative GNN-LSTM model, which combines the advantages of long short-term memory (LSTM) and graph neural networks (GNNs). …”
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47156
Research on multi-label recognition of tongue features in stroke patients based on deep learning
Published 2024-12-01“…To address this issue, this paper proposes a deep learning-based automatic recognition approach for the tongue images of stroke patients, aiming to improve the accuracy of automatic extraction and recognition of stroke-related tongue features through image processing and machine learning techniques. …”
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47157
Infrared dim tiny-sized target detection based on feature fusion
Published 2025-02-01“…In certain instances, such as when the infrared target is situated at a considerable distance from the detector, the detected object exhibits diminutive dimensions with a concurrently low signal intensity, leading to a challenge in achieving precision in object detection. In this paper, we propose a dual-layer omnidirectional target enhancement (DODTE) module to address the issue of low contrast, which causes the target to be submerged in the background and lose its position information. …”
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47158
Hybrid-Hierarchical Synchronization for Resilient Large-Scale SDN Architectures
Published 2025-01-01“…In this context, the correctness of the process fully relies on the network view synchronization mechanism, which should be fast and resilient. This paper presents a hybrid synchronization model combining a hierarchical design with established resilient cluster mechanisms. …”
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47159
Blinder Oaxaca and Wilk Neutrosophic Fuzzy Set-Based IoT Sensor Communication for Remote Healthcare Analysis
Published 2025-01-01“…As fuzzy systems have reformed several areas of work, health has also made the most of it. In this paper, the purpose of the study is to introduce a novel and intelligent remote healthcare system based on modern technologies like the Internet of things (IoT) and Neutrosophic fuzzy systems to ensure precise data analysis with lesser time and energy consumption. …”
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47160
Violence Detection From Industrial Surveillance Videos Using Deep Learning
Published 2025-01-01“…These systems are crucial in enhancing safety measures, improving operational efficiency, reducing accident risks, and providing automatic monitoring in dynamic environments. In this paper, we propose a three-stage deep learning-based end-to-end framework for violence detection. …”
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