Common mental health outcomes and access to support services among adolescents living with HIV in sub-Saharan Africa: a protocol for a systematic review by Kwaku Oppong Asante, Emmanuel Nii-Boye Quarshie, Delight Abla Klutsey, Margaret Amankwah-Poku

“…Peer-reviewed primary observational studies that report prevalence rates for common mental health outcomes outlined in the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, and the International Classification of Diseases, 11th Edition, their associated factors, as well as barriers to and facilitators of use of mental health support services among this population, will be included in the review. …”
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Electronic health record in military healthcare systems: A systematic review. by Amir Torab-Miandoab, Mahdi Basiri, Arasb Dabbagh-Moghaddam, Leila Gholamhosseini

“…The data extraction sheet for each study included information including the authors, publication year, country, research goals, architecture and components, context, processes involved, standards utilized, platform and technology, level of implementation, interoperability issues, challenges faced, information resources, and significant findings.…”
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Artificial intelligence for microgrids design, control, and maintenance: A comprehensive review and prospects by Mojtaba Hadi, Elhoussin Elbouchikhi, Zhibin Zhou, Abdelhakim Saim, Miadreza Shafie-khah, Pierluigi Siano, Hesam Rahbarimagham, Pau Marti Colom

“…In this context, focusing on power quality (PQ) issues underscores the role of AI in fault detection and classification as an integral part of the diagnostic process. …”
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Analysis of the overall development trends and hotspots in the research field of the human gut virome by Yidi Zhang, Ting Mei, Minhui Wang, Chunxia Huang, Hanzhi Yi, Yu Zhan, Sen Yang, Han Wang, Qiulong Yan, Ruochun Guo, Changming Chen

“…This trend is attributed to the breakthrough progress of high-throughput sequencing technology and the iterative upgrade of viral genome databases such as CheckV, which has made the classification resolution of the enterovirus group more accurate and discovered a large number of unknown bacteriophages. …”
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Comparative efficacy of glioma treatment strategies: an umbrella review of meta-analyses by Erming Yang, Yao Yang, Yixuan Gao, Xinru Liu, Xuanyu Liu, Xiaowen Zong, Jun Li

“…Two authors independently evaluated each meta-analysis for methodological quality using the AMSTAR tool, following established evidence classification guidelines.Results This study evaluated 68 meta-analyses and 389 outcomes from 4,243 articles, classifying 193 outcomes as ‘very low’ quality, 96 as ‘low’ quality, 28 (7.2%) as ‘high’ quality, and 72 (18.5%) as ‘moderate’ quality, 156 as NS, 231 (59.4%) as Class IV, and 2 (0.005%) as Class III, respectively. …”
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NeuroRF FarmSense: IoT-fueled precision agriculture transformed for superior crop care by Tarun Vats, Shrey Mehra, Uday Madan, Amit Chhabra, Akashdeep Sharma, Kunal Chhabra, Sarabjeet Singh, Utkarsh Chauhan

“…This innovative methodology signifies a strong solution for classification challenges in precision agriculture. By merging IoT technology with machine learning algorithms, smart farming is poised to enter a transformative phase, providing a scalable response to the pressing issues of global food security. …”
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Partial-Net: A Method for Data Gaps Reconstruction on Mars Images by Depei Gu, Dingruibo Miao, Jianguo Yan, Zhigang Tu, Jean-Pierre Barriot

“…For example, for the Mars landmark classification task with usage of the ResNet-34 baseline model, the average accuracy obtained via utilizing our repaired images surpasses via utilizing the original image by 4% (0.82 versus 0.78).…”
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The creation of public value from the action of hybrid organisations by Paolo Biancone, Federico Chmet, Daniel Iannaci, Michele Oppioli

“…., 2014), whose goal is to create innovation and synergy in addressing complex social issues, leading to more sustainable development (Karré, 2020). …”
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PERSPECTIVE DIRECTIONS OF PATRIOTIC EDUCATION by I. Ya. Murzina, S. V. Kazakova

“…In the course of the research, the methods of comparative analysis, systematisation and classification were employed. Results and scientific novelty. …”
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YOLOv8n-SSDW: A Lightweight and Accurate Model for Barnyard Grass Detection in Fields by Yan Sun, Hanrui Guo, Xiaoan Chen, Mengqi Li, Bing Fang, Yingli Cao

“…A new WIoU loss function was developed to improve bounding box classification and regression accuracy. Comprehensive performance analysis demonstrated that YOLOv8n-SSDW outperformed state-of-the-art models. …”
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Fresh or Rotten? Enhancing Rotten Fruit Detection With Deep Learning and Gaussian Filtering by Leopold Fischer-Brandies, Lucas Muller, Justus Johannes Riegger, Ricardo Buettner

“…We address the pressing issue of food waste by proposing a robust image classification model that can reliably detect rotten fruits. …”
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Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images by Mahsa Raisi-Nafchi, Mahnoosh Tajmirriahi, Hossein Rabbani, Zahra Amini

“…This paper presents a new preoperative classification method for astrocytomas, addressing the issue of data scarcity in medical imaging. …”
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Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function by Jiale Zhao, Dingding Yao, Junfeng Li

“…The recent Listener Acoustic Personalization Challenge 2024 (European Signal Processing Conference) dealt with this issue, with the task of harmonizing different datasets to achieve lower classification accuracy while meeting thresholds over various localization metrics. …”
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Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE by Jumanto Unjung, Rofik Rofik, Endang Sugiharti, Alamsyah Alamsyah, Riza Arifudin, Budi Prasetiyo, Much Aziz Muslim

“…However, a major issue in predictive analysis is the imbalance in data distribution and the low performance of classification algorithms. …”
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Transfer Kernel Extreme Learning Machine Based on Bidirectional Cross Domain Approximation by Yuanxiao Zeng, Huimin Li, Yanbing Song

“…To validate the effectiveness of our proposed method, we conducted classification experiments on four publicly available datasets. …”
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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

“…C-scan represents a conventional ultrasonic imaging method. To address the issue of low imaging precision in C-scan detection of internal damage caused by low-velocity impact in CFRP，gradient operators were employed to process the original images，and transfer learning methodology was utilized to conduct damage classification training on ResNet18 and ResNet50 architectures. …”
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Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…In the context of graph-based mental disorder classification, open-world semi-supervised learning for node classification aims to classify unlabeled nodes into known classes or potentially new classes, presenting a practical yet underexplored issue within the graph community. …”
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Clustering Visual Similar Objects for Enhanced Synthetic Image Data for Object Detection by Julian Rolf, Detlef Gerhard, Pero Kosic

“…In this case study, we observed more than a 20% increase in classification performance on two different object detector architectures on a validation dataset when training an object detector on visually similar groups rather than on all classes, suggesting the potential of our method as a baseline for a multi-stage classification scheme.…”
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Patient-specific modeling of the trochlear morphologic anomalies by means of hyperbolic paraboloids by Pietro Cerveri, Guido Baroni, Norberto Confalonieri, Alfonso Manzotti

“…Diagnostic and therapeutic purposes are issuing pressing demands to improve the evaluation of the dysplasia condition of the femoral trochlea. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

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