Experiences of violence and abuse among transgender women in healthcare settings in Uganda: a community-engaged qualitative study by Patience A. Muwanguzi, Racheal Nabunya, Moses Sabila

“…Data were thematically analysed using OpenCode software. Results Four key themes emerged for the lived experiences of violence and abuse among transgender women in Uganda. …”
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A competitive-collaborative nonnegative representation method and its application for face recognition in smart campus by Tingting Guo, Ziqi Li, Jun Sun, Yonghong Zhang, Qingfeng Xia, Ke Ren

“…Habitually, the source code will be made available on the author’s profile page at https://github.com/li-zi-qi/CCNR .…”
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

“…We also divided the dataset into training, validation, and test sets to facilitate deep learning model development. …”
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Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

“…Neural networks were employed using MATLAB R2021a and Python, implemented in Visual Studio Code. Data from 132 kV overhead line (OHL) transmission cables, provided by the Transmission Company of Nigeria (TCN), were utilized in the study. …”
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3D-SCUMamba: An Abdominal Tumor Segmentation Model by Juwita, Ghulam Mubashar Hassan, Amitava Datta

“…The code and dataset are available at <uri>https://github.com/juwita-sj/3DSCU-Mamba</uri>…”
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Predicting pile bearing capacity using gene expression programming with SHapley Additive exPlanation interpretation by Adil Khan, Majid Khan, Waseem Akhtar Khan, Muhammad Ali Afridi, Khawaja Atif Naseem, Ayesha Noreen

“…GEP is a computational technique that mimics biological gene expression processes to evolve computer programs or models capable of solving complex problems through the iterative generation, selection, and recombination of code segments. A dataset of 472 reinforced concrete piles obtained from literature, was employed for training, and validating the model. …”
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Eternal-MAML: a meta-learning framework for cross-domain defect recognition by Jipeng Feng, Haigang Zhang, Zhifeng Wang

“…Addressing the imbalance of defective samples often involves leveraging pre-trained models for transfer learning. However, when these models, pre-trained on natural image datasets, are transferred to pixel-level defect recognition tasks, they frequently suffer from overfitting due to data scarcity. …”
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What Are the Predictors of Acute Care Nurses' Stroke Knowledge?: Empirical Research Quantitative by Catherine T. Leach, Linda P. Bolin, Melvin S. Swanson, Ashley E. Burch, Patricia C. Woltz

“…Practice setting, post‐licensure stroke education, code stroke familiarity, confidence and understanding were all predictive of the overall stroke knowledge. …”
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Multi-Head Graph Attention Adversarial Autoencoder Network for Unsupervised Change Detection Using Heterogeneous Remote Sensing Images by Meng Jia, Xiangyu Lou, Zhiqiang Zhao, Xiaofeng Lu, Zhenghao Shi

“…., CycleGAN), our approach simultaneously aligns features in both domains through multi-head graph attention and dynamic kernel width estimation, effectively reducing false changes caused by sensor heterogeneity. The network training is constrained by four loss functions: reconstruction loss, code correlation loss, graph attention loss, and adversarial loss, which together guide the alignment of heterogeneous images into a unified data domain. …”
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Prospective development of legal education in the field of health care as a guarantee of medical reform implementation in Ukraine by M. A. Anishchenko

“…The need for further development of legal education for healthcare workers stems from a detailed analysis of the regulatory and legal acts of Ukraine regulating medical and pharmaceutical activities, in particular, the Constitution of Ukraine, the Criminal Code of Ukraine, the Code of Ukraine on Administrative Offenses, the Laws of Ukraine “Fundamentals of the Legislation of Ukraine on Health Care”, “On State Financial Guarantees of Medical Care of the Population”, “On Amendments to Certain Legislative Acts of Ukraine regarding the improvement of legislation on the activities of health care institutions”, “On the prevention of corruption”, the decree of the Cabinet of Ministers of Ukraine “On approval of the competition for the position of head of state, municipal health care institutions”, order of the Ministry of Health of Ukraine from 31.10.2018 № 1977 “On Amendments to the Handbook of qualification characteristics of workers occupations”. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…The NeuroMorse dataset is available at https://doi.org/10.5281/zenodo.12702379 , with our accompanying code at https://github.com/jc427648/NeuroMorse .…”
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Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path Planning by Arvi Jonnarth, Ola Johansson, Jie Zhao, Michael Felsberg

“…Meanwhile, our method successfully transfers to a real robot. Our code implementation can be found online (Link to code repository: <uri>https://github.com/arvijj/rl-cpp</uri>).…”
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Graph-Based Prediction of Spatio-Temporal Vaccine Hesitancy From Insurance Claims Data by Sifat Afroj Moon, Rituparna Datta, Tanvir Ferdousi, Hannah Baek, Abhijin Adiga, Achla Marathe, Anil Vullikanti

“…We find that hesitancy data for only 18% of ZIP Codes selected by active learning allows us to forecast hesitancy for all the ZIP Codes in the Virginia.…”
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Machine Learning Model for Predicting Global Ionospheric TEC Maps Based on Constraint Conditions by Qingfeng Li, Hanxian Fang, Chao Xiao, Die Duan, Hongtao Huang, Ganming Ren

“…We use IGS TEC maps from 2003 to 2018 as training, test, and validation sets, respectively. …”
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Perspective de cercetare vizând dezvoltarea limbajului vizual în contextul valorilor estetice by Mariana HADJI-BANDALAC

“…The importance of the research theme arises from the intention to use visual language, depending on the national and international context, to perceive the significance of the visual code, which has an aesthetic impact on the receiver-observer. …”
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Event-Based Spiking Neural Networks for Object Detection: A Review of Datasets, Architectures, Learning Rules, and Implementation by Craig Iaboni, Pramod Abichandani

“…Key challenges in SNN training, hardware integration, and future directions for CV applications are also identified.…”
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The Riemannian Means Field Classifier for EEG-Based BCI Data by Anton Andreev, Gregoire Cattan, Marco Congedo

“…In order to promote reproducible research, our code will be released as open source.…”
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Cultural background and diversity: N’golo and Capoeira in play by Lívia de Paula Machado Pasqua, Eliana de Toledo

“…IntroductionCapoeira is an Afro-Brazilian polysemic cultural manifestation, commonly known as fight-game formerly practiced only in streets and restricted environments and currently in training centers, gyms, and mainly in schools. The main question is: how this practice that was marginalized, prohibited by the Brazilian Penal Code in the past, can today promote an improvement in interpersonal relationships and cultural diversity among people?…”
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The role of senior researchers in promoting good science: Obstacles and enablers [version 2; peer review: 2 approved, 2 not approved] by Signe Mežinska, Susanne van den Hooff

“…This essay examines senior researchers’ professional responsibilities in fostering ethical research practices within their teams, as outlined in the ALLEA European Code of Conduct for Research Integrity. Senior researchers have an important role in preventing research misconduct and promoting a supportive academic environment. …”
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