Policing the Penal Provisions on Repeated and Severe DomesticViolence by Geir Aas

“…Abstract Penal provisions designed to cover repeated and severe abuse in close relationships have been in effect in Norway for the past decade (section 219 of the former Criminal Code, sections 282/283 of the revised Criminal Code). …”
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Determinants of non-compliance with hand hygiene using a covert direct observation methodology by Majid M. Alshamrani, Aiman El-Saed, Fatmah Othman, Mohammed Al Zunitan, Seema Noushad, Ayham Albadawi, Eman Alghamdi, Saad Almohrij

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Development and Validation of a Prediction Model Using Sella Magnetic Resonance Imaging–Based Radiomics and Clinical Parameters for the Diagnosis of Growth Hormone Deficiency and I... by Kyungchul Song, Taehoon Ko, Hyun Wook Chae, Jun Suk Oh, Ho-Seong Kim, Hyun Joo Shin, Jeong-Ho Kim, Ji-Hoon Na, Chae Jung Park, Beomseok Sohn

“…The extreme gradient boosting algorithm was used to train the prediction models. Internal validation was conducted using 5-fold cross-validation on the training set, and external validation was conducted on the test set. …”
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EDITORIAL by Ivan Čuk

“…They developed and standardized software for Android smart phones to analyse equilibrium during training seasons, which can be used in different gymnastics sports where equilibrium oscilations matters. …”
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BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams by Guibing Li, Tianyu Hu, Dawei Bai

“…To prevent debonding failure of FRP- (fiber reinforced polymer-) strengthened RC (reinforced concrete) beams, most codes proposed models for debonding strain limitation of FRP reinforcements. …”
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Design and Deployment of ML in CRM to Identify Leads by Alonso Yocupicio-Zazueta, Agustin Brau-Avila, Federico Cirett-Galán, Margarita Valenzuela-Galván

“…Then, in Azure Machine Learning Studio which is a Machine Learning Operations platform (MLOps), the Two-Class Logistic Regression algorithm was used to design a pipeline, train a model, and deploy a web service, which is consumed by Salesforce system through an Apex code. …”
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Common brain representations of action and perception investigated with cross-modal classification of newly learned melodies by Yu-Hsin Fiona Chang, Fredrik Ullén, Örjan de Manzano

“…A key question is whether such associations rely on shared neural representations, or a “common code”, between actions and their sensory outcomes. …”
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Prehospital neurological emergencies– a survey on the state of prehospital neurological assessment by emergency medical professionals by Vesta Brauckmann, Dominica Hudasch, Pascal Gräff, Torben Riecke, Gökmen Aktas, Jorge Mayor, Christian Macke

“…The access link was distributed through snowballing, social media, and through a QR code on a promotional poster. The survey was completed anonymously. …”
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An automatic laryngoscopic image segmentation system based on SAM prompt engineering: from glottis annotation to vocal fold segmentation by Yucong Zhang, Yucong Zhang, Yuchen Song, Juan Liu, Juan Liu, Ming Li, Ming Li

“…To encourage further research, we release our code at: https://github.com/yucongzh/Laryngoscopic-Image-Segmentation-Toolkit.…”
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Mf-net: multi-feature fusion network based on two-stream extraction and multi-scale enhancement for face forgery detection by Hanxian Duan, Qian Jiang, Xin Jin, Michal Wozniak, Yi Zhao, Liwen Wu, Shaowen Yao, Wei Zhou

“…Comparison experiments with multiple methods on other benchmark datasets confirm the superior generalization performance of our proposed method while ensuring model detection accuracy. Our code can be found at: https://github.com/1241128239/MFNet .…”
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Machine learning for automated cause-of-death classification from 2021 to 2022 in Korea: development and validation of an ICD-10 prediction model by Seokmin Lee, Gyeongmin Im

“…Models were trained and validated using 2021 data (80% training, 20% validation) and evaluated on 2022 data. …”
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Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation With Realistic Scene Modifications via Diffusion-Based Image Editing by Naufal Suryanto, Andro Aprila Adiputra, Ahmada Yusril Kadiptya, Thi-Thu-Huong Le, Derry Pratama, Yongsu Kim, Howon Kim

“…Code and datasets will be released at <uri>https://github.com/naufalso/cityscape-adverse</uri>.…”
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Comparative Study of Gamma- Ray Shielding Parameters for Different Epoxy Composites by Amal A. El- Sawy, Eman Sarwat

“…Four epoxy samples of (E/clay/B4C) S1, (E/Mag/B4C) S2, (EPIL) S3 and (Ep) S4 were used in a comparative study of gamma radiation attenuation properties of these shields that calculating using Mont Carlo code (MCNP-5). Adopting Win X-com software and Artificial Neural Network (ANN), µ/ρ revealed great compliance with MCNP-5. …”
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Intimate partner violence, reproductive health outcomes, and responsiveness among women living with disabilities in Southern Ethiopia: a qualitative study by Lielt Gebreselassie Gebrekirstos

“…Strengthening legal frameworks, improving service access, and training providers to recognize all forms of IPV are vital steps toward safeguarding their rights and well-being.…”
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Corporate Social Responsibility and Business Ethics in Controversial Sectors: Analysis of Research Results by Włodzimierz Sroka, Richard Szántó

“…Our survey mainly focused on the degree of insttutonalizaton of business ethics (such as the presence of a code of conduct, an employee appointed to deal with ethical issues, ethical training, and so on), the perceived ethical behavior of the frms, and their relatonship with their key stakeholders. …”
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NanoAbLLaMA: construction of nanobody libraries with protein large language models by Xin Wang, Haotian Chen, Bo Chen, Lixin Liang, Fengcheng Mei, Bingding Huang

“…Future efforts should expand germline diversity and incorporate druggability metrics for clinical relevance. The model’s code, data, and resources are publicly available to facilitate broader adoption.…”
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Admissions in the age of AI: detecting AI-generated application materials in higher education by Yijun Zhao, Alexander Borelli, Fernando Martinez, Haoran Xue, Gary M. Weiss

“…The code for this study is available on GitHub, and the models can be executed on user-provided data via an interactive web interface.…”
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A deep learning-based computed tomography reading system for the diagnosis of lung cancer associated with cystic airspaces by Zeyang Hu, Xia Zhang, Jinqiu Yang, Bailing Zhang, Hang Chen, Wei Shen, Hongxiang Li, Yipeng Zhou, Jiaheng Zhang, Keyue Qiu, Zijun Xie, Guodong Xu, Jian Tan, Chaoyi Pang

“…The dataset was divided into a training set (245 series), a validation set (62 series), and a test set (35 series). …”
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Finite element analysis and experimental validation of polymer–metal contacts in block-on-ring configuration by K. Y. Eayal Awwad, Khosro Fallahnezhad, B. F. Yousif, Ahmad Mostafa, Omar Alajarmeh, A. Shalwan, Xuesen Zeng

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Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning by J. Sykes, J. Sykes, P. Haegeli, R. Atkins, P. Mair, Y. Bühler, Y. Bühler

“…The overall accuracies of the models are 84.6 %, 91.9 %, and 93.3 % respectively compared to a testing dataset of roughly 20 000 observed run codes. The insights of our analysis provide a baseline for the development of effective decision support tools for backcountry avalanche risk management that can offer independent perspectives on operational terrain choices based on historic patterns or as a training tool for newer guides.…”
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