CASSC: Context‐aware method for depth guided semantic scene completion by Jinghao Cao, Ming Li, Sheng Liu, Yang Li, Sidan Du

“…Ablation experiments validate the rationality and effectiveness of our design, and the model and code of CASSC will be open‐sourced on https://github.com/dogooooo/CASSC.…”
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Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification by Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred Ingabire

“…Our evaluation suggests that the vision transformer architecture produces higher-quality embedding clusters than the Swin transformer architecture. All data and code are publicly shared under a CC BY 4.0 license.…”
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A general two-group constants estimator for 17x17 PWR assembly configurations using artificial neural networks by Gökhan Pediz, M. Alim Kırışık

“…Serpent code has been used to generate two-group constants for random assembly configurations to obtain training and test data. …”
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Apvit: ViT with adaptive patches for scene text recognition by Ning Zhang, Ce Li, Zongshun Wang, Jialin Ma, Zhiqiang Feng

“…Additionally, patch sizes are adaptively adjusted during training to balance speed and accuracy, while unimportant tokens and blocks in the model are pruned. …”
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Radionuclide classification based on gamma spectroscopy and artificial intelligence by Márcio Magalhães de Andrade Silva, Rudnei Karam Morales, Wallace Vallory Nunes, Domingos D'Oliveira Cardoso

“…The methodology used consisted basically of simulating the geometry of an established experimental apparatus, using the MCNP5 code, obtaining the simulated gamma spectral signature for the studied nuclides. …”
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Automatic MRI Lymph Node Annotation From CT Labels by Souraja Kundu, Yuji Iwahori, M. K. Bhuyan, Manish Bhatt, Boonserm Kijsirikul, Aili Wang, Akira Ouchi, Yasuhiro Shimizu

“…These factors make it difficult to create labeled MRI datasets for deep learning model training. Moreover, existing cross-modal annotation methods primarily focus on large tumors and require large datasets, making them unsuitable for small lymph nodes with less training data. …”
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Ethical budgets in (psycho-)linguistic fieldwork by Sarvasy Hannah S.

“…The notions of collaborative research, with communities rather than on them, and co-design of research with the participant community, are now common currency in funding applications, and indeed, an international code of ethics for cross-cultural research now exists: the TRUST Code. …”
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Distortion correction of diffusion weighted MRI without reverse phase-encoding scans or field-maps. by Kurt G Schilling, Justin Blaber, Colin Hansen, Leon Cai, Baxter Rogers, Adam W Anderson, Seth Smith, Praitayini Kanakaraj, Tonia Rex, Susan M Resnick, Andrea T Shafer, Laurie E Cutting, Neil Woodward, David Zald, Bennett A Landman

“…The method is available as a Singularity container, source code, and an executable trained model to facilitate evaluation.…”
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TIE-EEGNet: Temporal Information Enhanced EEGNet for Seizure Subtype Classification by Ruimin Peng, Changming Zhao, Jun Jiang, Guangtao Kuang, Yuqi Cui, Yifan Xu, Hao Du, Jianbo Shao, Dongrui Wu

“…Additionally, it also achieved the best performance in a challenging transfer learning scenario. Both our code and the CHSZ dataset are publicized.…”
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Using the grounded theory to develop the theoretical model of Chinese school sports coaching competence by Zuen Cheng, Yue Xu, Mei Zhou, Zhihua Yin, Liping Xu, Wenwen Chen

“…These categories are as follows: (a) Perception of identity, encompassing role of the coach, reflection on students, and understanding of policies; (b) Code of ethics, which includes sports virtues, sports-humanistic spirit, and principles of movement science; (c) Coaching excellence, comprising lifestyle and fitness strength, local sports development, teacher-coach partnership, leadership in extracurricular activities, safety and injury protection, athlete selection and training, instruction and demonstration, coaching reflective practice, and athlete-coach rapport. …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…The source code and trained model will be made publicly available on GitHub.…”
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Physicians’ inclination towards standard guidelines and regulations on incentive based prescribing practices in Karachi. A mixed methods study design. by Mishal Sameer Khan, Afifah Rahman Shepherd, Zahida Azizullah, Sabeen Shareef Khan, Muhammad Naveed Noor, Nina van der Mark, Sadia Shakoor, Rumina Hasan, Amna Rehana Siddiqui

“…Reported awareness of guidelines on ethical practices was 325 (77.6.0%), and willingness to sign a pledge committing to a code of ethics and to be part of a professional network of ethical doctors was high, 389 (~93.0%). …”
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TARREAN: A Novel Transformer with a Gate Recurrent Unit for Stylized Music Generation by Yumei Zhang, Yulin Zhou, Xiaojiao Lv, Jinshan Li, Heng Lu, Yuping Su, Honghong Yang

“…We evaluated the model using the Essen Associative Code and Folk Song Database, which contains 20,000 folk melodies from Germany, Poland, and China. …”
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Enhancing anomaly detection in plant disease recognition with knowledge ensemble by Jiuqing Dong, Jiuqing Dong, Jiuqing Dong, Heng Zhou, Alvaro Fuentes, Alvaro Fuentes, Sook Yoon, Dong Sun Park, Dong Sun Park

“…Extensive experiments confirm the robustness and generalizability of our approach across diverse model architectures and training paradigms. We will release the code soon at https://github.com/JiuqingDong/Enhancing_Anomaly_Detection.…”
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UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines* by Qianrong Guo, Saiveth Hernandez-Hernandez, Pedro J. Ballester

“…However, we show that these methods still introduce high similarities between training and test sets, leading to overestimated model performance. …”
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Context-Aware Gene Embedding Pipeline (CGEP): An Accessible, Regulatory-Region-Inclusive Embedding Framework for Interpretable Disease-Agnostic Prediction by Twaha Ahmed Minai, Zubair Ahmed Shaikh, Asim Imdad Wagan, M. Kamran Azim, Syed Muhammad Muaz, Muhammad Shoaib Siddiqui

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Automatic detection and extraction of key resources from tables in biomedical papers by Ibrahim Burak Ozyurt, Anita Bandrowski

“…Conclusions Our pipelines allow the detection and extraction of key resources from tables with much higher accuracy, enabling the deployment of automated research resource extraction tools on BioRxiv to help authors correct unidentifiable key resources detected in their articles and improve the reproducibility of their findings. The code, table-specific language model, annotated training and evaluation data are publicly available.…”
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LightRoseTTA: High‐Efficient and Accurate Protein Structure Prediction Using a Light‐Weight Deep Graph Model by Xudong Wang, Tong Zhang, Guangbu Liu, Zhen Cui, Zhiyong Zeng, Cheng Long, Wenming Zheng, Jian Yang

“…Notably, three highlights are possessed by LightRoseTTA: i) high‐accurate structure prediction for proteins, being “competitive with RoseTTAFold” on multiple popular datasets including CASP14 and CAMEO; ii) high‐efficient training and inference with a light‐weight model, costing “only 1 week on one single NVIDIA 3090 GPU for model‐training” (vs 30 days on 8 NVIDIA V100 GPUs for RoseTTAFold) and containing “only 1.4M parameters” (vs 130M in RoseTTAFold); iii) low dependency on multi‐sequence alignment (MSA), achieving the best performance on three MSA‐insufficient datasets: Orphan, De novo, and Orphan25. …”
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Tele-AAC Resolution by Kate Anderson, Michelle K. Boisvert, Janis Doneski-Nicol, Michelle L. Gutmann, Nerissa C. Hall, Cynthia Morelock, Richard Steele, Ellen R. Cohn

“…</span><span style="font-family: Cambria; font-size: small;">Tele-AAC, like other telepractice applications, requires adherence to the ASHA Code of Ethics and other policy documents, and state, federal, and international laws, as well as a competent technological infrastructure. …”
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Effect of self-care education on self-efficacy of patients with multiple sclerosis: a randomized clinical trial by Zahra Rooddehghan, Mohammad Saber Sholehvar, Soraya Nejati, Shima Haghani, Raoofeh Karimi

“…The present study evaluated the effect of self-care training by nurses on the self-efficacy of patients with multiple sclerosis. …”
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