Identification and Classification of Prescription Errors at a Tertiary Hospital in Southeast Nigeria by Patricia Uche Ogbo, Chioma Assumpta Okonkwo, Collins Chukwuemeka Magbo, Chidimma Maryrose Ononugbo, Cyndi Chinelo Ofolebe, Nathaniel Chinonso Okafor, Charles Chiemela Nwaobilor, Ogochukwu Ifeoma Ugwuede, Chimezie William Nnaji

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Tourism Potential Zone Mapping Using MCDM and Machine Learning Models in The State of Madhya Pradesh India by Shrinwantu Raha, Sayan Deb

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The impact of processing methods on the quality of Sudanese white cheese produced by small scale in New Halfa area by I.A.E. ELKHIDER, I.E.M. El ZUBEIR, A.A. BASHEIR

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Role of RELAP/SCDAPSIM in Nuclear Safety by C. M. Allison, J. K. Hohorst

“…The RELAP/SCDAPSIM code, designed to predict the behaviour of reactor systems during normal and accident conditions, is being developed as part of the international SCDAP Development and Training Program (SDTP). …”
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Micro-learning and Mindtools in Mobile-Learning (M-Learning): effects on knowledge and self-efficacy in laparoscopy education for surgical nursing students by Fatemeh Akbari HajiAbad, Fatemeh Keshmiri, Fatemeh Jabinian, Seyed Mostafa Shiryazdi

“…In conclusion, this M-learning application tool in clinical training planning is proposed as a support tool to improve students’ capabilities in clinical training programs. …”
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NeuralMie (v1.0): an aerosol optics emulator by A. Geiss, P.-L. Ma

“…TAMie achieves speed and accuracy comparable to established Fortran Mie codes and is used to produce training data for NeuralMie. …”
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TelecomGPT: A Framework to Build Telecom-Specific Large Language Models by Hang Zou, Qiyang Zhao, Yu Tian, Lina Bariah, Faouzi Bader, Thierry Lestable, Merouane Debbah

“…These datasets are leveraged for continual pre-training, instruction tuning, and alignment tuning, respectively. …”
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Threat analysis and defense methods of deep-learning-based data theft in data sandbox mode by Hezhong PAN, Peiyi HAN, Xiayu XIANG, Shaoming DUAN, Rongfei ZHUANG, Chuanyi LIU

“…The threat model of deep-learning-based data theft in data sandbox model was analyzed in detail, and the degree of damage and distinguishing characteristics of this attack were quantitatively evaluated both in the data processing stage and the model training stage.Aiming at the attack in the data processing stage, a data leakage prevention method based on model pruning was proposed to reduce the amount of data leakage while ensuring the availability of the original model.Aiming at the attack in model training stage, an attack detection method based on model parameter analysis was proposed to intercept malicious models and prevent data leakage.These two methods do not need to modify or encrypt data, and do not need to manually analyze the training code of deep learning model, so they can be better applied to data theft defense in data sandbox mode.Experimental evaluation shows that the defense method based on model pruning can reduce 73% of data leakage, and the detection method based on model parameter analysis can effectively identify more than 95% of attacks.…”
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Interdisciplinary Distance Learning Workshop for IT Students by I. A. Andrianov, S. A. Rzheutskaya, M. V. Kharina

“…An approach to organizing automatic checking by testing the program code developed by a student in the process of solving an educational problem is presented, and an extension of this approach is proposed for organizing automatic checking in cases where the solution is not the program code, but, for example, a diagram, model or text document designed in accordance with the regulated rules. …”
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Foreign Experience in the Legal Regulation of Corporate Ethics: Lessons for Ukraine (Using the Example of the U.S. Federal Bureau of Investigation) by Yu. V. Yakovenko

“…It is established that the norms governing corporate ethics at the FBI are set out in the Federal Bureau of Investigation Act and its internal code of conduct. The formation of corporate culture is shown to begin as early as training at the FBI Academy. …”
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Perceptions of ICU Care Following Do-Not-Resuscitate Orders: A Military Perspective by Sydney E. Dishman, BS, Kathryn E. Driggers, MD, Laura S. Johnson, MD, FACS, Cara H. Olsen, MS, DrPH, Andrea B. Ryan, RN, MSN, Melissa M. McLawhorn, RN, BSN, Kevin K. Chung, MD, FCCM

“…Those with do-not-resuscitate training were more likely to believe that standards of care continued to be met after code status change.…”
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Smart contract vulnerability detection method based on Bi-modal cross-attention mechanism by CHEN Jinfu, HU Xinyi, CAI Saihua, MIN Xirun

“…A specific attention mechanism was designed that simultaneously analyzed both contract source code and bytecode, achieving bidirectional mapping and complementary enhancement between high-level semantic features in source code and low-level execution flows in bytecode, thereby enriching feature representation. …”
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Software Defect Prediction Based on Effective Fusion of Multiple Features by Chaozheng Zhang, Junhua Wu

“…Therefore, this paper proposes a software defect prediction model based on the effective fusion of multiple features, named DP-SSCT (Semantics, Source Code, and Tradition). The model integrates traditional features, source code features, and semantic features. …”
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Representation of few-group homogenized cross section by multi-variate polynomial regression by Nguyen Dinh Quoc Dang, Masiello Emiliano

“…The regression model [3, 4] allow to input a significantly larger number of points for training compared to the number of monomials, thus yielding higher accuracy than polynomial interpolation without being affected by the choice of points in the training set. …”
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Integrating Generative Artificial Intelligence and Problem-Based Learning into the Digitization in Construction Curriculum by Reza Maalek

“…The effective interaction with LLMs not only facilitated code generation, which would otherwise be complex without additional formal training, but also provided a platform for strengthening basic project management skills, such as departmentalization, work breakdown structuring, modularization, activity delegation, and defining key performance indicators. …”
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Teaching Phonics and Vocabulary Through Children’s Literature in Early Childhood Initial Teacher Education: Trial of the Non-Scripted Intentional Teaching (N-SIT) Tool by Stacey Campbell, Michelle M. Neumann, Lesley Friend

“…Survey data gathered participants’ code-related literacy knowledge before and after the N-SIT training. …”
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PREDICTION OF UNIT VALUE INDEX OF EXPORTS OF SITC 897 JEWELRY AND PRECIOUS GOODS GROUP IN INDONESIA by Grace Lucyana Koesnadi, Bagas Shata Pratama, Dzuria Hilma Qurotu Ain, Elly Pusporani, M. Fariz Fadillah Mardianto

“…This study aims to evaluate the effectiveness of various methods in improving prediction accuracy for the unit value index of the SITC code 897 in Indonesia. The research data used is secondary data including monthly export unit value index data with SITC code 897 in Indonesia obtained from the Central Bureau of Statistics. …”
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Development and validation of a risk scoring system to identify patients with lupus nephritis in electronic health record data by Christine Anastasiou, Zara Izadi, Jinoos Yazdany, Gabriela Schmajuk, Milena Gianfrancesco

“…We investigated the current performance of International Classification of Diseases (ICD) codes, 9th and 10th editions (ICD9/10), for identifying prevalent LN, and developed scoring systems to increase identification of LN that are adaptable to settings with and without LN ICD codes.Methods Training and test sets derived from EHR data from a large health system. …”
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An Investigation of Knee Injury Prevalence and its Mechanism among Premier League Soccer Referees in Iran by Hamid Mahdavi Mohtasham, Shahnaz Shahrbanian

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Intensive Care Unit Rotations and Predictors of Career Choice in Pulmonary/Critical Care Medicine: A Survey of Internal Medicine Residency Directors by Daniel J. Minter, Sean D. Levy, Sowmya R. Rao, Paul F. Currier

“…Factors predictive of residencies with a higher percentage of graduates pursuing training in PCCM included larger ICUs (>20 beds), residents serving as code leaders, and greater proportion of graduates pursuing specialization. …”
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