Childbirth outcomes in rape-related pregnancies: a comparative study of women receiving care in a birthing room designed to promote person-centredness in eastern Democratic Republi... by Urban Berg, Emile Mapatano, Maria Hogenäs, Marie Berg

“…Methods This study was conducted between March 2021 and July 2022, with consecutive collection of childbirth data from nulliparous women at term with a single foetus in cephalic presentation and spontaneous onset of labour, i.e. …”
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Co-occurrence patterns based fruit quality detection for hierarchical fruit image annotation by Sangita B. Nemade, Shefali P. Sonavane

“…Automatic image annotation is a method of assigning caption to images that provide some convenient way to index, retrieve and handle a large amount of data objects. It focuses on recent agricultural automation applications; it finds potential in classification along with contextual labeling of the involved objects or detailing based on its statistical properties on fruit categories. …”
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Cognitive modeling of problems and methods of protecting territories from landslides by Galina V. Gorelova, Dmitry I. Katsko, Alexander I. Katsko

“…The methodology development is based on the author's experience in designing landslide preventive measures, as well as the experience of assessing landslide haz-ard based on available data (visual observations, engineering surveys and regulatory docu-mentation). …”
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Insights from monitoring abundances and characteristics of plastic leakage in city waterways and tourist beaches of Cambodia by Grace Smith, Shungudzemwoyo P. Garaba

“…It emphasizes the importance of employing a synergy of monitoring strategies as a step ahead in developing sustainable and cost-effective data sources. The presented approaches can play a crucial role in fostering scientific evidence-based policymaking and informed roadmap planning for improved environmental management.…”
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Transmit and Receive Diversity in MIMO Quantum Communication for High-Fidelity Video Transmission by Udara Jayasinghe, Prabhath Samarathunga, Thanuj Fernando, Anil Fernando

“…At the receiver, a quantum decoder reconstructs the classical information, followed by channel decoding to retrieve the video data, and the source decoder reconstructs the final video. …”
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Experiences of Wheelchair Users With Spinal Cord Injury With Self-Tracking and Commercial Self-Tracking Technology (“In Our World, Calories Are Very Important”): Qualitative Interv... by Vasiliki Mylonopoulou, Katerina Cerna, Alexandra Weilenmann, Mattias Rost, Tobias Holmlund

“…One of their aims is to assist the individual wearing them in adopting a healthier lifestyle through tracking and visualizing their data. Some of these devices and apps have a wheelchair mode that indicates that they are designed for different types of bodies (eg, wheelchair users with spinal cord injury [SCI]). …”
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Elevated Plasma Endothelin-1 Levels in Normal Tension Glaucoma and Primary Open-Angle Glaucoma: A Meta-Analysis by Shengjie Li, Aiping Zhang, Wenjun Cao, Xinghuai Sun

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Research and design of multiple gas mixing system in modified atmosphere packaging by Bin Zhang, Xiaodan Lin, Xuemin zhang, Xiaokang Yi, Shaohui Ma, Yu Ding

“…This ensures communication between the equipment and data transmission with the cloud server while enabling remote control of the gas mixing and blending process via a mobile phone terminal. …”
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Autonomous Quadrotor Path Planning Through Deep Reinforcement Learning With Monocular Depth Estimation by Mahdi Shahbazi Khojasteh, Armin Salimi-Badr

“…Once the agent has gained enough knowledge from the insightful data, we transition to a targeted exploration phase by employing the Boltzmann behavior policy, which relies on the refined Q-value estimates. …”
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Reconstruction of the Intrarenal Vascular Tree From μ-CT Scans of Corrosion Cast Specimens by Katarzyna Heryan

“…This study aims to develop a robust methodology for transforming <inline-formula> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>-CT data into semantically and topologically meaningful models, enabling accurate morphometric and topological analysis. …”
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Computer vision-based location-aware antenna system for 5G applications by Irshad Ali T K, Ansal K A, Sumitha Mathew, Rashida K

“…The system incorporates a machine learning-based computer vision algorithm, specifically the You Only Look Once (YOLO) model, and an optimisation technique for analysing visual data. This method identifies and extracts positional coordinates for potential users, allowing the antenna system—mounted on a rotating assembly—to adjust its orientation and accurately direct its beam toward the target objects determined by the algorithm. …”
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IDENTIFICATION OF PHYSIOLOGICAL AND PSYCHOLOGICAL CHANGES DURING MENOPAUSE IN BIREUEN DISTRICT, ACEH PROVINCE by Irma Fitria, Dewi Maritalia, Herrywati Tambunan

“…The research instrument was a questionnaire distributed to respondents from 11 August to 05 September 2023 during the Elderly Posyandu at the Puskesmas. Data processing and analysis were carried out univariately for each variable of physiological changes and psychological changes using descriptive static tests. …”
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The influence of renal function on surgical outcomes of vitrectomy in patients with proliferative diabetic retinopathy by Qiongzhen Yuan, Zhouquan Yang, Wei Fan, Xiaofan Chen, Huan Zou, Rongdi Yuan

“…PurposeTo investigate the influence of renal function on the surgical outcomes of vitrectomy in patients with proliferative diabetic retinopathy (PDR).MethodsA secondary analysis was conducted on data from a retrospective cohort study.ResultsA total of 128 eyes with PDR that underwent pars plana vitrectomy (PPV) and were followed up for at least 2 years were enrolled, including 65 eyes in the impaired renal function (IRF) group and 63 eyes in the normal renal function (NRF) group. …”
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Research on Fault Diagnosis of Rotating Parts Based on Transformer Deep Learning Model by Zilin Zhang, Yaohua Deng, Xiali Liu, Jige Liao

“…Additionally, interpretability research is conducted on the proposed model, aiming to understand the decision-making mechanism of the model through visual analysis of the entire decision process. The experimental results on three different datasets indicate that the proposed model achieved high accuracy in fault diagnosis with relatively short data windows. …”
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Exploring the interdependencies among social progress index (SPI) components and their impact on country-level sustainability performance based on Bayesian Belief Network by Abroon QAZI

“…The study emphasizes that targeted improvements in specific SPI components can significantly enhance a country’s overall sustainability performance. Rather than visualizing countries’ progress through composite indicator-based heat maps, this study explores the interdependencies among SPI components and their role in sustainability performance at the global level. …”
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Strategic Resource Relationship Model, Adaptability to Environmental Dynamics, Implementation of School-Based Management and Vocational School Competitiveness by Amidatus Sholihat Jamil, Waras Kamdi, Syamsul Hadi, Syaad Patmanthara

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Predicting fertilizer treating of maize using digital image processing and deep learning approaches by Eshete Derb Emiru, Kassie Bishaw

“…The lack of soil fertility, which is frequently hard to see visually from the maize leaves, is a major reason for this decline. …”
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Altered static and dynamic functional connectivity in major depressive disorder accompanied by high anxiety: evidence from the REST-meta-MDD consortium by Lujun Li, Zhijun Zeng, Yaling Zhou, Jinfei Lin, Jiayuan Li

“…Resting-state functional magnetic resonance imaging (rs-fMRI) data were recorded. Large-scale static and dynamic functional connectivity analyses were conducted to identify specific brain connectivity distinguishing MDD with low and high anxiety symptoms.ResultsWhile MDD patients with high and low anxiety symptoms exhibit overlapping alterations in dynamic functional connectivity between the auditory cortex and nodes of the salience network, their distinct clinical profiles may be associated with differential functional connectivity patterns between the components of the default mode network (DMN) and the visual network (VN), as well as between the components of the basal ganglia network (BGN) and VN.ConclusionThe VN–DMN–BGN functional circuit may help elucidate the underlying pathological mechanisms associated with varying levels of anxiety in depressive disorders. …”
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Enhancing multiclass brain tumor diagnosis using SVM and innovative feature extraction techniques by Mustafa Basthikodi, M. Chaithrashree, B. M. Ahamed Shafeeq, Ananth Prabhu Gurpur

“…Initially, the SVM model alone attained an accuracy(acc_val) of 86.57% on unseen test data, establishing a baseline for performance. To enhance this, PCA was incorporated for dimensionality reduction, which improved the acc_val to 94.20%, demonstrating the effectiveness of reducing feature dimensionality in mitigating overfitting and enhancing model generalization. …”
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Screen time exposure and executive functions in preschool children by Nemanja Lakicevic, Marko Manojlovic, Elena Chichinina, Patrik Drid, Yury Zinchenko

“…Although gadgets such as phones, tablets and computers might be of educational use in this population, excessive ST might impair cognitive function among preschoolers. As data on this topic in preschool children are scarce, this study sought to investigate the relationship between ST and executive functions (EFs) in this population. …”
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