A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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The Criminal Code of Mongolia. The General Part. Punishment by V. M. Stepashin

“…The subject. The Criminal Code of Mongolia, as one of the newest criminal laws, needs to be studied.The purpose of the study is to identify the features of criminal punishment and its appointment in Mongolia.The author uses method of formal legal interpretation of Mongolian Criminal Code. …”
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LPItabformer: Enhancing generalization in predicting lncRNA-protein interactions via a tabular Transformer by Qin Lin, Jie Sheng, Chang Zhou, Tao Xiao, Yilei Meng, Mingxin Lu, Junfang Zhang, Xueyun Yan, Luying Peng, Huaming Cao, Li Li

“…Ultimately, we have verified that the LPItabformer is capable of predicting novel LPIs. Code is available at https://github.com/Ci-TJ/LPItabformer.…”
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Аdaptive combined image coding with prediction of arithmetic code volume by B J.S Sadiq, V. Yu. Tsviatkou, М. N. Bobov

“…To adapt the structure of the combined encoder to the distribution of bits in the bit planes of DPCM pixel values, the article proposes to use prediction of the volume of arithmetic code based on entropy and comparison of the obtained predicted value with the volume of run length code. …”
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Predictive coding in musical anhedonia: A study of groove. by Peter Benson, Nicholas Kathios, Psyche Loui

“…Groove, or the pleasurable urge to move to music, offers unique insight into the relationship between emotion and action. The predictive coding of music model posits that groove is linked to predictions of music formed over time, with stimuli of moderate complexity rated as most pleasurable and likely to engender movement. …”
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How Reliable Is the G41 Discharge Code for Status Epilepticus? by Quentin Calonge, Vincent Navarro, Sophie Tezenas du Montcel

“…Of the 400 hospitalizations with a G410 (generalized convulsive SE) code, 72.7% were classified as generalized convulsive SE, while 76.5% of the 149 hospitalizations with a G412 (focal SE) code were classified as focal SE. …”
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Assessment of Prediction Capabilities of COCOSYS and CFX Code for Simplified Containment by Jia Zhu, Xiaohui Zhang, Xu Cheng

“…The general trend of the temperature distribution along the vertical direction predicted by COCOSYS agrees with the CFX prediction except in dome, and this phenomenon is predicted well by CFX and failed to be reproduced by COCOSYS. …”
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RiNALMo: general-purpose RNA language models can generalize well on structure prediction tasks by Rafael Josip Penić, Tin Vlašić, Roland G. Huber, Yue Wan, Mile Šikić

“…Notably, we show that its generalization capabilities overcome the inability of other deep learning methods for secondary structure prediction to generalize on unseen RNA families.…”
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Judicial Reduction of Penalties in Georgian Civil Law: Balancing Debtor and Creditor Rights by Natia Rekhviashvili, Nino Kharitonashvili

“…General Background: Judicial discretion in the reduction of penalties plays a crucial role in balancing the interests of contracting parties under the Civil Code of Georgia. …”
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Can a referral diagnosis code for duplex ultrasound "predict" carotid artery stenosis? by O. V. Gaisenok, I. V. Samorodskaya, O. M. Drapkina

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Plasma-based transcriptomic non-coding signature for predicting relapse in pediatric acute lymphoblastic leukemia by Yaping Wang, Xiaopeng Ma, Huimin Li, Ji'ou Zhao, Meiyun Kang, Liucheng Rong, Yao Xue, Jiali Wang, Junwei Tang, Yongjun Fang

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Attitudes of German General Practitioners Toward eHealth Apps for Dementia Risk Reduction: Qualitative Interview Study by Adrian Schultz, Melanie Luppa, Markus Bleckwenn, Steffi G Riedel-Heller, Andrea Zuelke

“…ResultsWe found generally favorable but balanced views of eHealth apps for brain health. …”
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A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

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Genetic predictions of prion disease susceptibility in carnivore species based on variability of the prion gene coding region. by Paula Stewart, Lauren Campbell, Susan Skogtvedt, Karen A Griffin, Jon M Arnemo, Morten Tryland, Simon Girling, Michael W Miller, Michael A Tranulis, Wilfred Goldmann

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Anoikis-Related Long Non-Coding RNA Signatures to Predict Prognosis and Immune Infiltration of Gastric Cancer by Wen-Jun Meng, Jia-Min Guo, Li Huang, Yao-Yu Zhang, Yue-Ting Zhu, Lian-Sha Tang, Jia-Ling Wang, Hong-Shuai Li, Ji-Yan Liu

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Generalization of a fast, predictive model for tokamak scenario design in ASTRA and comparison to a RAPTOR model by Raphael Schramm, Alexander Bock, Emiliano Fable, Jörg Stober, Simon van Mulders, Marc Maraschek, Rainer Fischer, Andreas Burckhart, Philip Schneider, Olivier Sauter, Hartmut Zohm, the ASDEX Upgrade Team, JET Contributors

“…We now show that this approach can be generalized to other scenarios and even other devices. …”
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Bayesian compositional generalized linear mixed models for disease prediction using microbiome data by Li Zhang, Xinyan Zhang, Justin M. Leach, A. K. M. F. Rahman, Carrie R. Howell, Nengjun Yi

“…However, in real-world data, both large and small effects frequently coexist, and acknowledging the contribution of smaller effects can significantly enhance predictive performance. To address this challenge, we developed Bayesian Compositional Generalized Linear Mixed Models for Analyzing Microbiome Data (BCGLMM). …”
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A hybrid machine learning model with attention mechanism and multidimensional multivariate feature coding for essential gene prediction by Wu Yan, Fu Yu, Li Tan, Li Mengshan, Xie Xiaojun, Zhou Weihong, Sheng Sheng, Wang Jun, Wu Fu-an

“…Conclusions This model demonstrated the superior predictive performance and strong generalization capabilities compared to other models. …”
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A method of vehicle networking environment information sharing based on distributed fountain code by Jianhang Liu, Xinyao Wang, Haibin Zhai, Shibao Li, Xuerong Cui, Qian Zhang

“…This paper presents a novel method of motion prediction compensation to solve this problem. Firstly, we propose a distributed fountain coding scheme to improve transmission efficiency and reduce vehicles’ delay in acquiring peripheral information. …”
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