The use of specific coordination behaviours to manage information processing and task distribution in real and simulated trauma teamwork: an observational study by Liselott Fornander, Maria Garrido Granhagen, Ida Molin, Kati Laukkanen, Karin Björnström Karlsson, Peter Berggren, Lena Nilsson

“…In-real-life, information management was dominated by the codes “request information” (24%) and “confirmation” (21%), whereas “task distribution” (43%) was most frequently used for task management. …”
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Lightweight DDoS Attack Detection Using Bayesian Space-Time Correlation by Gabriel Mendonca, Rosa M. M. Leao, Edmundo De Souza E. Silva, Don Towsley

“…We collect data on DDoS attacks by generating real attack traffic from the homes of a selected group of volunteers, utilizing authentic malware source code. In that experiment, conducted using the residences of volunteers and over one month, our system detected 99.1% of all DDoS attacks launched, with no false alarms.…”
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M18K: A Multi-Purpose Real-World Dataset for Mushroom Detection, 3D Pose Estimation, and Growth Monitoring by Abdollah Zakeri, Mulham Fawakherji, Jiming Kang, Bikram Koirala, Venkatesh Balan, Weihang Zhu, Driss Benhaddou, Fatima A. Merchant

“…This paper details the dataset’s characteristics, presents detailed statistics on mushroom growth and yield, evaluates algorithmic performance, and, for broader applicability, makes all resources publicly available, including images, code, and trained models, via our GitHub repository. …”
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MDRN: Multi-distillation residual network for efficient MR image super-resolution by Liwei Deng, Jingyi Chen, Xin Yang, Sijuan Huang

“…However, current SR methods often use the complex convolutional network for feature extraction, which is difficult to train and not suitable for limited computation resources in the medical scenario. …”
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Multiple timescales of context influence perceptual sensitivity to common pairings of musical pitch and timbre. by Christian E Stilp, Isabel Adames, Anya E Shorey

“…Results advance the efficient coding hypothesis by demonstrating how listener factors can modulate perceptual sensitivity to statistical structure in the acoustic environment.…”
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Strengths and Challenges of Counseling Professionals in Serving Trans Students in Daytime Secondary School by Alí Chaves-Jiménez

“…Regarding challenges, a lack of training on sexual diversity and tools for serving trans students was noted. …”
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Lightweight CNC digital process twin framework: IIoT integration with open62541 OPC UA protocol by Arivazhagan Anbalagan, Waqir Yusuf Zanhar, Shone George, Marcos Kauffman, Tengfei Long

“…The layers include: (i) Physical – microcontroller with sensors; (ii) Virtual – modeling and GM code generation; (iii) Data – OPC UA-based transfer; (iv) Interaction – visualization via custom nodes; and (v) Decision – rule-based logic and analytics. …”
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Using neural networks for near-real-time aerosol retrievals from OMPS Limb Profiler measurements by M. D. Himes, M. D. Himes, M. D. Himes, G. Taha, G. Taha, D. Kahn, T. Zhu, N. A. Kramarova

“…We find it is at least 60 times faster than the current operational code and on average achieves agreement within 20 % at most altitudes and latitudes with sensitivity and non-negligible aerosol abundances. …”
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Plasticity in inhibitory networks improves pattern separation in early olfactory processing by Shruti Joshi, Seth Haney, Zhenyu Wang, Fernando Locatelli, Hong Lei, Yu Cao, Brian Smith, Maxim Bazhenov

“…This results in improved pattern separation and a more concise neural code. Our calcium imaging data support these predictions. …”
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A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude by Hancan Zhu, Hongxia Yang, Yaqing Wang, Keli Hu, Guanghua He, Jia Zhou, Zhong Li, Alzheimer’s Disease Neuroimaging Initiative

“…The results demonstrate that PDoRA consistently outperforms existing parameter-efficient fine-tuning methods, achieving superior segmentation accuracy and efficiency. Our code is available at https://github.com/Perfect199001/PDoRA/tree/main .…”
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Machine Learning and Metaheuristic Algorithms for Voice-Based Authentication: A Mobile Banking Case Study by Leili Nosrati, Amir Massoud Bidgoli, Hamid Haj Seyyed Javadi

“…This method involves the user speaking into the phone to enter their private password. Then, to crack the code, an artificial neural network is employed along with retrieved statistics and speech parameters such as energy and Mel frequency cepstral coefficient. …”
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Predicting the Open Porosity of Industrial Mortar Applied on Different Substrates: A Machine Learning Approach by Rafael Travincas, Maria Paula Mendes, Isabel Torres, Inês Flores-Colen

“…This database was then used to train and test the machine learning algorithms to predict the open porosity of the mortar. …”
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Recurrent Neuronal Networks for the Prediction of the Temperature of a Synchronous Machine During Its Operation by Rubén Pascual, Marcos Esteban, José M. Guerrero, Carlos A. Platero

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Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine by Hanliang Bian, Zhongxun Sun, Jiahan Bian, Zhaowei Qu, Jianwei Zhang, Xiangchun Xu

“…Among these, 18 algorithms achieved higher accuracy than the current engineering standard, the “Code for in-situ Measurement of Railway Engineering Geology.” …”
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The Eclipsing Binaries via Artificial Intelligence. II. Need for Speed in PHOEBE Forward Models by Marcin Wrona, Andrej Prša

“…AI can optimize simulation codes where computational bottlenecks arise from the time required to generate forward models. …”
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A robust deep learning approach for segmenting cortical and trabecular bone from 3D high resolution µCT scans of mouse bone by Amine Lagzouli, Peter Pivonka, David M. L. Cooper, Vittorio Sansalone, Alice Othmani

“…Our findings highlight DBAHNet’s potential to provide reliable and accurate 3D µCT mouse tibia segmentation, thereby enhancing and accelerating preclinical bone studies in drug development. The model and code are available at https://github.com/bigfahma/DBAHNet .…”
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A deep learning approach for white blood cells image generation and classification using SRGAN and VGG19 by Jannatul Ferdousi, Soyabul Islam Lincoln, Md. Khorshed Alom, Md. Foysal

“…The generated images of SRGAN overcome challenges associated with misclassification due to the poor resolution of microscopic images, while the use of a pretrained model as a classifier reduces classification complexity. The source code of the entire work is available at https://github.com/Jannatul-Ferdousi/SRGAN_VGG19_WBC.git.…”
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Genotypic and Phenotypic Association of Agronomic Features in Triticale Genotypes under Drought Stress Conditions by Hassan Basiri, Omid Alizadeh, Forud Bazrafshan, Mehdi Zare, Mohammad Yazdani

“…The analysis was performed in SAS-9.4-M6 software using a programming code stored on the GitHub website. Results: The results showed that a lower number of irrigation and earlier withholding of water from the triticale plants can lead to a high decrease in the productivity of triticale genotypes.  …”
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Effects of olympic combat sports on physical fitness in non-athlete students: a systematic review with meta-analysis by Jordan Hernandez-Martinez, Jordan Hernandez-Martinez, Izham Cid-Calfucura, Eduardo Guzmán-Muñoz, Eduardo Guzmán-Muñoz, Tomas Herrera-Valenzuela, Pedro Delgado-Floody, Cristian Nuñez-Espinosa, Cristian Nuñez-Espinosa, Cristian Nuñez-Espinosa, Braulio Magnani Branco, Jorge Mota, Hadi Nobari, Joaquin Perez-Carcamo, Edgar Vásquez-Carrasco, Edgar Vásquez-Carrasco, Pablo Valdés-Badilla, Pablo Valdés-Badilla

“…The protocol was registered in PROSPERO (code: CRD42023391433).ResultsOf 1,539 records, 9 RCTs and 4 NRCTs with 1,314 participants were included. …”
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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

“…The learned features are generated by Word2vec after being trained on a large database of protein sequences. …”
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