BeliN: A novel corpus for Bengali religious news headline generation using contextual feature fusion by Md Osama, Ashim Dey, Kawsar Ahmed, Muhammad Ashad Kabir

“…To promote reproducibility and further exploration, the dataset and implementation code are publicly accessible at https://github.com/akabircs/BeliN.…”
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Comparing Coping Styles Between Patients With Cancer and Healthy People by Sayede Tahere Taheri Otaghsara, Tahere Khaleghdoost Mohammadi, Faride Hasavari, Ehsan Kazem Nezhad Leyli

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Software to Enable Ocean Discoveries: A Case Study With ICESat‐2 and Argo by J. Scheick, R. Piunno, Z. Fair, R. Tilling, A. Di Bella, N. Abib, K. M. Bisson

“…While many remote sensing technologies are available at present, scientific disciplines are often trained to use only a specific subset, greatly limiting scientific advancements. …”
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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

“…SensorDBSCAN demonstrates better performance on well-known and realistic datasets, reducing labeling requirements while maintaining high accuracy of fault detection and diagnostics. The code is available at <uri>https://github.com/K0mp0t/sensordbscan</uri>.…”
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JailbreakTracer: Explainable Detection of Jailbreaking Prompts in LLMs Using Synthetic Data Generation by Md. Faiyaz Abdullah Sayeedi, Maaz Bin Hossain, Md. Kamrul Hassan, Sabrina Afrin, Molla Md. Sabit Hossain, Md. Shohrab Hossain

“…Using transformer-based architectures, we train classifiers that achieved 97.25% accuracy in detecting jailbreak prompts and 100% accuracy in categorizing forbidden questions. …”
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Involving migrants in the development of guidelines for communication in cross-cultural general practice consultations: a participatory learning and action research project by Chris van Weel, Anne MacFarlane, Maria van den Muijsenbergh, Tomas de Brún, Evelyn van Weel-Baumgarten, Mary O'Reilly-de Brún, Ekaterina Okonkwo, Jean Samuel Bonsenge Bokanga, Maria Manuela De Almeida Silva, Florence Ogbebor, Aga Mierzejewska, Lovina Nnadi

“…There was also 100% consensus that formal interpreters who are trained and working as per a professional code of practice are acceptable as best practice.Conclusions Policymakers and service planners need to work in partnership with service providers and migrants to progress the implementation of professional, trained interpreters as a routine way of working in general practice.…”
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Investigating Offensive Language Detection in a Low-Resource Setting with a Robustness Perspective by Israe Abdellaoui, Anass Ibrahimi, Mohamed Amine El Bouni, Asmaa Mourhir, Saad Driouech, Mohamed Aghzal

“…Moroccan Darija, a dialect of Arabic, presents unique challenges for natural language processing due to its lack of standardized orthographies, frequent code switching, and status as a low-resource language. …”
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GraphGIM: rethinking molecular graph contrastive learning via geometry image modeling by Chaoyi Li, Hongxin Xiang, Wenjie Du, Tengfei Ma, Haowen Chen, Xiangxiang Zeng, Lei Xu

“…Conclusions Extensive experiments show that GraphGIM and its two variants outperform state-of-the-art graph contrastive learning methods on eight molecular property prediction benchmarks from MoleculeNet and achieve competitive results with state-of-the-art methods. The code is available at https://github.com/cyli029/GraphGIM .…”
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Towards an intelligent integrated methodology for accurate determination of volume percentages in three-phase flow systems by Abdullah M. Iliyasu, Mohammad Sh. Daoud, Ahmed Sayed Salama, John William Grimaldo Guerrero, Kaoru Hirota

“…Finally, to determine the volume percentages, we employ a support vector regression (SVR) neural network, which is trained on a refined dataset with capability to handle complex relationships and high-dimensional data. …”
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Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia by Edy Subowo, Imam Bukhori, warto

“…Future work should expand to other laws (e.g., ITE Laws, Criminal Code) via transfer learning and integrate knowledge graphs to enhance entity relation detection. …”
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CMOS‐Compatible HfOx‐Based Radiation Hardening Component for Neuromorphic Computing Applications by Yao‐Feng Chang, Yifu Huang, Chin‐Han Chung, Ying‐Chen Chen

“…The Ruthenium oxide (RuOx) can serve as a photon‐absorb sink to reduce the switching layer damage caused by heating induced by radiation, supported by Particle and Heavy Ion Transport Code System Monte Carlo simulation. Furthermore, the neural network by HfOx/RuOx‐based ReRAM device is trained with the inference accuracy at various TIDs for a potential neuromorphic hardware system demonstration. …”
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Detecting Advanced Persistent Threat Exfiltration With Ensemble Deep Learning Tree Models and Novel Detection Metrics by Xiaojuan Cai, Haibo Zhang, Chuadhry Mujeeb Ahmed, Hiroshi Koide

“…The results demonstrate that our method effectively detects APT exfiltration across various network environments, enhancing data protection and secure transfer. The code is open source and available at <uri>https://github.com/cxjuan/EDXGB-for-APT</uri>.…”
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miRAW: A deep learning-based approach to predict microRNA targets by analyzing whole microRNA transcripts. by Albert Pla, Xiangfu Zhong, Simon Rayner

“…MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression by binding to partially complementary regions within the 3'UTR of their target genes. …”
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Deep reinforcement learning for conservation decisions by Marcus Lapeyrolerie, Melissa S. Chapman, Kari E. A. Norman, Carl Boettiger

“…We provide a conceptual and technical introduction to deep RL as well as annotated code so that researchers can adopt, evaluate and extend these approaches. …”
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A Novel Security Threat Model for Automated AI Accelerator Generation Platforms by Chao Guo, Youhua Shi

“…This work, from an attacker&#x2019;s perspective, proposes a threat model based on this paradigm and reveals the potential security vulnerabilities of systems by embedding malicious code in the design flow, highlighting the necessity of protection to address this security gap. …”
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Re-viewing the concept of saturation in qualitative research by Bonnie Mowinski Jennings, Katherine A. Yeager

“…Over time, this specific and singular term has migrated to a general term that reflects various types of saturation such as code, data, theme, and meaning saturation. There is a lack of clarity among saturation types and a lack of transparency in reporting what is meant by saturation and how it was achieved. …”
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Improving drug-drug interaction prediction via in-context learning and judging with large language models by He Qi, He Qi, Xiaoqiang Li, Chengcheng Zhang, Tianyi Zhao, Tianyi Zhao

“…The modular prompt structure, combined with ensemble reasoning, offers a scalable framework for knowledge-intensive biomedical applications. The code for DDI-JUDGE is available at https://github.com/zcc1203/ddi-judge.…”
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Enhancing LLM Reasoning Capabilities Through Brokered Multi-Expert Reflection by Tejasvee Sheokand, Garveet Jain, Arshdeep Bahga, Vijay K. Madisetti

“…The approach employs a foundational pre-trained LLM as the base model, which is further supported by agents to promote cognitive assistance for specific task types. …”
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Enhanced Global Ionospheric Mapping Using Deep Ensemble Neural Networks With Uncertainty Quantification by Shuyin Mao, Yuanxin Pan, Grzegorz Kłopotek, Matthias Schartner, Hana Krásná, Aletha deWitt, Benedikt Soja

“…To develop the machine learning model, we first determined the VTEC time series based on the carrier‐to‐code leveling method using multi‐GNSS observations from global IGS stations. …”
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Improving emotional availability in Australian mother-toddler dyads via the Tuning in to Toddlers parenting program by Zoe C. G. Cloud, Christiane E. Kehoe, Karli Treyvaud, Bradley Wright, Sophie S. Havighurst

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