The effects of implementing a point-of-care electronic template to prompt routine anxiety and depression screening in patients consulting for osteoarthritis (the Primary Care Osteo... by Christian D Mallen, Barbara I Nicholl, Martyn Lewis, Bernadette Bartlam, Daniel Green, Sue Jowett, Jesse Kigozi, John Belcher, Kris Clarkson, Zoe Lingard, Christopher Pope, Carolyn A Chew-Graham, Peter Croft, Elaine M Hay, George Peat

“…During the trial period, 7,279 patients aged ≥45 y consulted with a relevant OA-related code, and 4,240 patients were deemed potentially eligible by participating GPs. …”
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SegRD＋＋:Revisiting RD＋＋ for anomaly detection(SegRD++：重新审视基于RD++的异常检测) by 张浚然(ZHANG Junran), 曹俊杰(CAO Junjie)

“…We improve the RD++ method by adding a segmentation network to its model and training the segmentation network to replace empirical inference for anomaly detection and localization. …”
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Food consumption patterns and score among women receiving cash assistance: emergency nutrition response in drought affected pastoralist community eastern Ethiopia by Aboma Motuma, Mohammed Jemal Dawe, Assefa Tola Gemada, Temam Beshir, Behailu Hawulte, Hamdi Fekredin Zakaria, Kedir Teji Roba

“…EPI Data version 3.1 software was used to code, enter, and clean the data. SPSS version 23 was used for analysis. …”
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Exploring Health Care Professionals’ Perspectives on Education, Awareness, and Preferences for Digital Educational Resources to Support Transgender, Nonbinary, and Intersex Care: I... by Sravya Katta, Nadia Davoody

“…Thematic analysis was applied to identify recurring codes and themes. ResultsThe study identified several themes and subthemes related to gender diversity awareness, inclusive communication and understanding the needs of TNBI individuals, societal and structural challenges, regulatory gaps in training and support infrastructure, education and training needs for health care professionals on TNBI care, educational resources and training tools for TNBI care, challenges and design considerations for eHealth tools integrations, and evaluating eHealth impact. …”
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Processor Energy Characterization for Compiler-Assisted Software Energy Reduction by Lovic Gauthier, Tohru Ishihara

“…Secondly, based on the energy model mentioned above, the paper shows techniques for reducing the energy consumption by optimally mapping program code, stack frames, and data items to the scratch-pad memory (SPM) of the processor memory space.…”
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UAV-Assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis by Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy, Hayssam Dahrouj, Tareq Y. Al-Naffouri

“…The simulation results underscore the effectiveness of the proposed unbiased HFL scheme, demonstrating a 5.5% higher accuracy and approximately 85% faster convergence compared to conventional HFL algorithms. We make our code available at the following GitHub repository: <inline-formula> <tex-math notation="LaTeX">$\texttt {UAV-assisted Unbiased HFL Code}$ </tex-math></inline-formula>.…”
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From smoking cessation to physical activity: Can ontology-based methods for automated evidence synthesis generalise across behaviour change domains? [version 2; peer review: 2 appr... by Candice Moore, Emily Hayes, Oscar Castro, Ella Howes, Alison J Wright, Emma Norris, Susan Michie, Robert West

“…Results Stage 1 highlighted the need to modify the smoking cessation behavioural outcome codes for application to physical activity. One hundred physical activity intervention reports were reviewed, and 11 physical activity experts were consulted to inform the adapted code set. …”
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Performance Analysis of Single-Frequency MPPSK Integrated System for Ranging Applications by Yu Yao, Lenan Wu

“…Moreover, high repetition frequency (HRF) biphase code MPPSK pulse train base on m sequence is presented, and the ranging accuracy of the proposed signal with the match filter processing is deduced. …”
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Leveraging Machine Learning for Accurate and Fast Stellar Mass Estimation of Galaxies by Vahid Asadi, Akram Hasani Zonoozi, Hosein Haghi, Fatemeh Abedini, Atousa Kalantari, Marziye Jafariyazani, Nima Chartab

“…We train various ML algorithms using simple model SEDs in photometric space, generated with the BC03 code. …”
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Woman or surgeon – Not both: Perceptions of support, enablers and barriers in general surgery by Kelda M.O. Sheridan, Naomi D. Quinton

“…Recruitment is challenged by cultural norms of postponing post-foundation training; and retention with perceptions of elitism, discrimination and inflexibility (UK Shape of Training Steering Group, 2017; Kennedy, 2021) [1,45]. …”
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Adherence to healthcare waste management protocols in selected health facilities, Greater Accra and Eastern Regions, Ghana, 2021 by Benjamin Osei-Tutu, Rita Agyekumwah Kusi Asante, Ernestina Esinam Agbemafle, Doreen Danso, Eric Asante, Isaac Kporha, Jonathan Elikem Avunyitor, Kate Gyimaa Asante, Mark Owusu, Oxwell Opoku Sarpong, Paul Twene, Reuben Kennedy Atepre, Eunice Baiden Laryea, George Akowuah, Samuel Dapaa, Magdalene Akos Odikro, Joseph Asamoah Frimpong, Samuel Sackey, Ernest Kenu

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Machine learning derived retinal pigment score from ophthalmic imaging shows ethnicity is not biology by Anand E. Rajesh, Abraham Olvera-Barrios, Alasdair N. Warwick, Yue Wu, Kelsey V. Stuart, Mahantesh I. Biradar, Chuin Ying Ung, Anthony P. Khawaja, Robert Luben, Paul J. Foster, Charles R. Cleland, William U. Makupa, Alastair K. Denniston, Matthew J. Burton, Andrew Bastawrous, Pearse A. Keane, Mark A. Chia, Angus W. Turner, Cecilia S. Lee, Adnan Tufail, Aaron Y. Lee, Catherine Egan, UK Biobank Eye and Vision Consortium

“…The code to derive RPS is publicly available at: https://github.com/uw-biomedical-ml/retinal-pigmentation-score .…”
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How do trainee doctors learn about research? Content analysis of Australian specialist colleges’ intended research curricula by Christy Noble, Paulina Stehlik, Caitlin Brandenburg, Peter Fawzy, Isaac Narouz, David Henry

“…We coded learning and assessment activities by type (eg, formal research training, publication) and whether it was linked to a scholarly project. …”
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Exploring the Psychometric Properties of a Tool to Assess the Talents of Children with Special Needs in Indonesia by Subagya Subagya, Munawir Yusuf, Priyono Priyono, Erma Kumala Sari, Arsy Anggrellanggi

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Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal by Zeliang AN, Tianqi ZHANG, Baoze MA, Pan DENG, Yuqing XU

“…To recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as shallow features, the zero-forcing blind equalization was first leveraged to improve the discrimination of different modulation signals.Then the 1D-CNN recognition model was devised and trained to extract deep features from shallow ones.Later, two decision fusion strategies of voting-based and confidence-based were leveraged in the multiple-antenna receiver to improve recognition accuracy.Experimental results show that the proposed algorithm can effectively recognize five modulation types {BPSK, 4PSK,8PSK,16QAM,4PAM}, with a 100% recognition accuracy when the signal-to-noise is equal or greater than-2 dB.…”
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Efficient adaptation of deep neural networks for semantic segmentation in space applications by Leonardo Olivi, Edoardo Santero Mormile, Enzo Tartaglione

“…Finally, we evaluate these results in terms of task performance, memory, and computation on embedded devices, evidencing trade-offs that open the road to more research in the field. The code will be open-sourced upon acceptance of the article.…”
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Symplectic machine learning model for fast simulation of space-charge effects by Jinyu Wan, Ji Qiang, Yue Hao

“…This model has been integrated into jutrack, a novel autodifferentiable accelerator modeling code developed in the julia programming language.…”
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Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal by Zeliang AN, Tianqi ZHANG, Baoze MA, Pan DENG, Yuqing XU

“…To recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as shallow features, the zero-forcing blind equalization was first leveraged to improve the discrimination of different modulation signals.Then the 1D-CNN recognition model was devised and trained to extract deep features from shallow ones.Later, two decision fusion strategies of voting-based and confidence-based were leveraged in the multiple-antenna receiver to improve recognition accuracy.Experimental results show that the proposed algorithm can effectively recognize five modulation types {BPSK, 4PSK,8PSK,16QAM,4PAM}, with a 100% recognition accuracy when the signal-to-noise is equal or greater than-2 dB.…”
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Identifying Factors Affecting Self-Development of Iranian TV School Teachers: Report of A Qualitative Study by abbas mohammadi, maede arshadrad

“…After reviewing and organizing the interview transcripts, initial concept codes were identified using an inductive approach, and similar codes were grouped into specific categories. …”
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Intelligent Environmental Health Risk Assessment System for the Elderly in Cold Regions Based on Artificial Intelligence Integrated Development Environment by Tianheng ZHANG, Yao FU, Jian GAO, Huanran XUE

“…The development process employs an iterative evolution approach, converting the Bayesian probability framework into executable code through natural language processing capabilities of the AI-IDE platform. …”
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