Identification of Fault Prone Components in Multimedia Software based on Optimal Threshold Values decided using Genetic Algorithm by Manpreet Singh, Jitender Kumar Chhabra

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Comparison of General and Liver-Specific Prognostic Scores in Their Ability to Predict Mortality in Cirrhotic Patients Admitted to the Intensive Care Unit by Pedro Paulo Costa e Silva, Liana Codes, Fernanda Ferreira Rios, Carolina Pedreira Esteve, Murilo Tavares Valverde Filho, Douglas Oliveira Carmo Lima, Geraldo Fernandes de Almeida Filho, Maria Clara Alves Morais, Bruno Calazans Lima, Paulo Bravo de Oliveira Chagas, Ney Boa-Sorte, Paulo Lisboa Bittencourt

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Genomic and transcriptional co-localization of protein-coding and long non-coding RNA pairs in the developing brain. by Jasmina Ponjavic, Peter L Oliver, Gerton Lunter, Chris P Ponting

“…This led us to the hypothesis that spatiotemporal co-expression of ncRNAs and nearby protein-coding genes represents a general phenomenon, a prediction that was confirmed subsequently by in situ hybridisation in developing and adult mouse brain. …”
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Survival prediction and analysis of drug-resistance genes in HER2-positive breast cancer by Lin Yang, Songhao Chen, Meixue Wang, Shujia Peng, Huadong Zhao, Ping Yang, Guoqiang Bao, Xianli He

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Retinal vein occlusion risk prediction without fundus examination using a no-code machine learning tool for tabular data: a nationwide cross-sectional study from South Korea by Na Hyeon Yu, Daeun Shin, Ik Hee Ryu, Tae Keun Yoo, Kyungmin Koh

“…This study aimed to develop a machine learning model to predict RVO risk in the general population using such tabular health data, without requiring coding expertise or retinal imaging. …”
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Scale Is Not All You Need: Revisiting the Biomimetic Roots of Deep Learning to Overcome Fundamental Limitations by Malek Wahidi, Anthony Rizk, Rodrigue Imad

“…A number of interesting insights emerge from the literature covered throughout this synthesis, including but not limited to the common roots of model fragility and poor generalization, relationships between model nonlinearity and adversarial robustness, parallels between Predictive Coding and Joint-Embedding Predictive Architectures (JEPA), and how backpropagation constrains more radical neuro-inspired innovations. …”
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Deep multiscale feature fusion network with dual attention for rolling bearing remaining useful life prediction by Yingming Yang, Zhihai Wang, Xiaoqin Liu, Tao Liu, Zhuopeng Luo

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Machine learning approaches for real-time ZIP code and county-level estimation of state-wide infectious disease hospitalizations using local health system data by Tanvir Ahammed, Md Sakhawat Hossain, Christopher McMahan, Lior Rennert

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Machine learning combined with multi-omics to identify immune-related LncRNA signature as biomarkers for predicting breast cancer prognosis by Yuxing Liu, Jintao Chen, Daifeng Yang, Chenming Liu, Chunhui Tang, Shanshan Cai, Yingxuan Huang

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Automation of reversible steganographic coding with nonlinear discrete optimisation by Ching-Chun Chang

“…Another core element is reversible steganographic coding. Contemporary coding is based primarily on heuristics, which offers a shortcut towards sufficient, but not necessarily optimal, capacity–distortion performance. …”
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External validation of an artificial intelligence model using clinical variables, including ICD-10 codes, for predicting in-hospital mortality among trauma patients: a multicenter... by Seungseok Lee, Do Wan Kim, Na-eun Oh, Hayeon Lee, Seoyoung Park, Dong Keon Yon, Wu Seong Kang, Jinseok Lee

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Humans learn generalizable representations through efficient coding by Zeming Fang, Chris R. Sims

“…Our findings reveal that while conventional models fall short in generalization, models incorporating efficient coding achieve human-level performance. …”
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Cross-code comparison of the edge codes SOLPS-ITER, SOLEDGE2D and UEDGE in modelling a high-power neon-seeded scenario in the DTT by M. Moscheni, M. Wigram, H. Wu, C. Meineri, C. Carati, E. De Marchi, M. Greenwald, P. Innocente, B. LaBombard, F. Subba, R. Zanino

“…This higher-power scenario is generally characterised by substantial disagreement between the three codes, up to 78%–178% in peak heat fluxes. …”
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Novel insights into the Leishmania infantum transcriptome diversity of protein-coding and non-coding sequences in both stages of parasite development using nanopore direct RNA sequ... by Jean-Guillaume Emond-Rheault, Gabriel Reis Ferreira, Camille Lavoie-Ouellet, Martin A. Smith, Barbara Papadopoulou

“…Protein prediction tools combined to mass-spectrometry revealed that 7.6% of these lncRNAs have a limited protein-coding potential. …”
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Weight illusions explained by efficient coding based on correlated natural statistics by Paul M. Bays

“…The framework is general and predicts perceptual biases and variability in any sensory properties that are correlated in the natural environment.…”
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An open source FEM code for solving coupled thermo-poroelastoplastic processes by Matthew L. McLean, D. Nicolas Espinoza

“…The code is freely available to the general community for use and modification. …”
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NCC—An Efficient Deep Learning Architecture for Non-Coding RNA Classification by Konstantinos Vasilas, Evangelos Makris, Christos Pavlatos, Ilias Maglogiannis

“…In the larger one, its accuracy rate exceeded 98%, outperforming all related tools, pointing to high prediction capability, which can act as a base for further findings in ncRNA analysis and the genomics field in general.…”
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Temporal resolution of spike coding in feedforward networks with signal convergence and divergence. by Zach Mobille, Usama Bin Sikandar, Simon Sponberg, Hannah Choi

“…We further show that this relationship can be generalized across different spike-generating models and measures of coding capacity, implying a potentially fundamental link between network structure and coding strategy using spikes. …”
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Cultural Codes of Society: Scientific and Practical Significance in Modern African Studies by MOSEIKO Aida Nikolaevna

“…The article is devoted to the topic of searching for cultural codes. It presents the author’s approach to understanding the place and role of the problem of cultural codes in modern studies of Africa. …”
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Benchmark of Subchannel Code VIPRE-W with PSBT Void and Temperature Test Data by Y. Sung, R. L. Oelrich, C. C. Lee, N. Ruiz-Esquide, M. Gambetta, C. M. Mazufri

“…This paper summarizes comparisons of VIPRE-W thermal-hydraulic subchannel code predictions with measurements of fluid temperature and void from pressurized water reactor subchannel and bundle tests. …”
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