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    Early Career Developers’ Perceptions of Code Understandability: A Study of Complexity Metrics by Matteo Esposito, Andrea Janes, Terhi Kilamo, Valentina Lenarduzzi

    Published 2025-01-01
    “…Moreover, we also distinguish the predictions of understandability in general and the severity of issues in particular. …”
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    Article
  3. 43

    Where Does mBERT Understand Code-Mixing? Layer-Dependent Performance on Semantic Tasks by Aditya Somani, S. R. Mithun Kumar, Aruna Malapati

    Published 2025-01-01
    “…Semantic tasks like lexical relation prediction and word analogy are crucial for deep language understanding, yet pose significant challenges when applied to code-mixed text, where multiple languages are interwoven. …”
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    Article
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    Validity and reliability International Classification of Diseases-10 codes for all forms of injury: A systematic review. by Sarah Paleczny, Nosakhare Osagie, Jai Sethi, Michael Cusimano

    Published 2024-01-01
    “…Specificity and NPV were generally high, except for abuse (NPV 44.6%).<h4>Conclusions and significance</h4>The validity and reliability of ICD-10 external cause injury codes vary based on the injury types coded and the outcomes examined, and overall, they only perform moderately well. …”
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    Validation of ICD‐10 Consensus Code Set for Cirrhosis Detection Using Electronic Health Records in an Asian Population by Jason Pik‐Eu Chang, Hong‐Yi Lin, Pooi‐Ling Loi, Jeanette Pei‐Xuan Ng, Marianne De Roza, Rahul Kumar, Hiang‐Keat Tan, Chanda Kendra Ho, Wei‐Quan Teo, Amber Hwa Hwa Chung, Prema Raj

    Published 2025-05-01
    “…We evaluated the consensus code set's sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) in identifying cirrhosis cases. …”
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    Grid cells, place cells, and geodesic generalization for spatial reinforcement learning. by Nicholas J Gustafson, Nathaniel D Daw

    Published 2011-10-01
    “…We formalize this intuition and present simulations showing how Euclidean, but not geodesic, representations can interfere with RL by generalizing inappropriately across barriers. Our proposal that place and grid responses should be modulated by geodesic distances suggests novel predictions about how obstacles should affect spatial firing fields, which provides a new viewpoint on data concerning both spatial codes.…”
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    Evaluation of Compliance with the Fundamentals of Preference of Certainty over Severity of Punishment in Sentencing Criminal code of Afghanistan - with an Emphasis on Administrativ... by Mohammad Iqbal Haqyar, Syed Baqer Mohammadi

    Published 2024-09-01
    “…Despite the fact that with the implementation of the penal code, the country's criminal policy went down in terms of quantity and quality; There is basically no relationship between the severity of the punishment and the achievement of the goal.in specific crimes such as crimes against internal and external security or crimes of administrative corruption, the country's criminal policy is different and in this context, the scope of crime is wider and the punishments are more severe.The purposeful penalization model means policy making in the field of punishment, both in terms of type and amount, based on a predictable and systematic logic, and penological and criminological scientific teachings play a prominent role in it.This model is proposed in the direction of organizing punishments and moving away from stereotyped punishments, which has its own fundamentals, and its executive measures should be planned according to these fundamentals that one of them is "improving certainty over the severity of punishment".This work has evaluated how to comply with the fundamental of preference of certainty over severity of punishment in the penal code of Afghanistan from the perspective of the mentioned model with emphasis on administrative corruption crimes and found that the fundamental of preference of certainty over severity of punishment in 14 discourses which includes 5 discourses of general sentences and 9 discourses of crimes and punishments (administrative corruption) has not been observed.…”
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  14. 54

    Axial Compression Behavior of Circular Concrete-Filled High-Strength Thin-Walled Steel Tubular Columns with Out-of-Code D/t Ratios by Jun-Xin Li, Jian-Tao Wang, Qing Sun, Yan-Ru Wu, Shi-Ming Zhou, Fa-Cheng Wang

    Published 2021-01-01
    “…The research results indicate that a relatively high confine effect can be guaranteed for CFHTST columns under out-of-code D/t ratios, given that the ratio Nu/Nnom between the measured capacity (Nu) and nominal cross-sectional capacity (Nnom) mainly distributes within 1.179∼1.292; the full-range analysis reflects that the axial load-deformation curve can be distinguished by four various loading stages; the scope b = 0.3∼0.55 of intermediate stress coefficient is generally suggested for predicting axial strength of circular CFST columns within an error of ±5%. …”
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  15. 55

    Quantifying Suicide Risk in Prostate Cancer: A SEER-Based Predictive Model by Jiaxing Du, Fen Zhang, Weinan Zheng, Xue Lu, Huiyi Yu, Jian Zeng, Sujun Chen

    Published 2025-03-01
    “…Abstract Background Prostate cancer patients have a significantly higher risk of suicide compared to the general population. This study aimed to develop a nomogram for identifying high-risk patients and providing empirical evidence to guide effective intervention strategies. …”
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    Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

    Published 2024-10-01
    “…We employed linear regression, decision tree regression, random forest regression, generalized additive models, and artificial neural networks to create prediction models for hydrate formation temperature (HFT). …”
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    Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

    Published 2025-02-01
    “…Temporal precision is essential for temporal coding and processing. The characteristic spike patterns that constitute the signals enable general-purpose, multimodal, multidimensional vectorial representations of objects, events, situations, and procedures. …”
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    An ensemble deep learning framework for multi-class LncRNA subcellular localization with innovative encoding strategy by Wenxing Hu, Yan Yue, Ruomei Yan, Lixin Guan, Mengshan Li

    Published 2025-02-01
    “…Accurate prediction of lncRNA subcellular localization is of paramount importance. …”
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    Article