Compression and Decompression of Audio Files Using the Arithmetic Coding Method by Parasian D. P Silitonga, Irene Sri Morina

“…Audio file size is relatively larger when compared to files with text format. Large files can cause various obstacles in the form of large space requirements for storage and a long enough time in the shipping process. …”
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Effects of dam fear and stress on metrics of puppy welfare in commercial breeding kennels by Aynsley C. Romaniuk, Shanis Barnard, Traci Shreyer, Candace Croney

“…Significant negative associations between 6 W Pre dam HCCs and 8 W Post puppy FGMs (estimate: -0.021, SE = 0.007, p = 0.007), puppies’ birth weights ( $$\:\text{{\rm\:X}}$$ 2 (1) = 3.908, p = 0.048), and puppies’ average weekly weight gains ( $$\:\text{{\rm\:X}}$$ 2 (1) = 0.111, p = 0.739) were also found. …”
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Exploring cross-cultural communication content adaptability through advanced natural language processing and sentiment analysis by Zhen Dong

“…On this basis, automatic translation and content adjustment tools are developed, and on the premise of retaining the semantics of the original text, the symbol replacement (avoiding negative associations) and tone adaptation (conforming to local expression habits) are fine-tuned for the target culture. …”
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Incidence of Congenital Limb Reduction Defects: A Systematic Review by Gabrielle Levesque, Renitha Reddi, Harpreet Chhina, Alison M. Elliott, Colleen Pawliuk, Jeffrey Bone, Anthony Cooper

“…Two independent reviewers performed title and abstract screening, full-text review, and data extraction. Conflicts were resolved by a third independent reviewer. …”
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Multilingual performance of a multimodal artificial intelligence system on multisubject physics concept inventories by Gerd Kortemeyer, Marina Babayeva, Giulia Polverini, Ralf Widenhorn, Bor Gregorcic

“…When comparing AI results to existing literature on student performance, we find that the AI system outperforms average postinstruction undergraduate students in all subject categories except laboratory skills. …”
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Optimal Transmission of VLC System in the Presence of LED Nonlinearity and APD Module Saturation by Meijun Gao, Chao Li, Zhengyuan Xu

“…Meanwhile the sequential quadratic programming algorithm is applied to maximize <inline-formula><tex-math notation="LaTeX">$\text{SNDR}$</tex-math> </inline-formula> and obtain the optimal transmission parameters. …”
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Applying the Block-Based Programming Language ALICE for Developing Programming Competencies in University Students by Mariuxi Vinueza-Morales, Jesennia Cardenas-Cobo, Jessica Cabezas-Quinto, Cristian Vidal-Silva

“…Higher education programming classes usually use text-based programming languages to develop programming competencies, usually without success for all students. …”
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Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissions by Darren Green, Mark Holland, Pinkie Chambers, Matthew Watson, Noura Al Moubayed, Stelios Boulitsakis Logothetis

“…We found that models including free-text triage notes outperform structured tabular data models, achieving an average precision of 0.92, compared with 0.75 for tree-based models and 0.12 for NEWS.Conclusions Our findings suggests that machine learning models using free-text data have the potential to improve clinical decision-making in the ED; our techniques significantly reduce alert rate while detecting most high-risk patients missed by NEWS.…”
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Concerning the “repression” of ω -3 polyunsaturated fatty acids by adepts of evidence-based medicine by I. Yu. Torshin, O. A. Gromova, Zh. D. Kobalava

“…A detailed analysis of this text, however, pointed to gross violations of data collection and processing. …”
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Evaluating large language models for drafting emergency department encounter summaries. by Christopher Y K Williams, Jaskaran Bains, Tianyu Tang, Kishan Patel, Alexa N Lucas, Fiona Chen, Brenda Y Miao, Atul J Butte, Aaron E Kornblith

“…Individual errors on average had a low potential for harm. A comprehensive understanding of the location and type of errors found in LLM-generated clinical text is important to facilitate clinician review of such content and prevent patient harm.…”
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Recreational Thematic Dominants in News TV Discourse by M. A. Gladko

“…That is why the relevance of the topic is determined by the need to study text-forming tools for the implementation of recreation in the discourse. …”
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Research on adverse event classification algorithm of da Vinci surgical robot based on Bert-BiLSTM model by Tianchun Li, Wanting Zhu, Wenke Xia, Li Wang, Weiqi Li, Peiming Zhang

“…Through comparative analysis, we highlighted the potential of combining BERT and BiLSTM in text classification tasks, particularly for small datasets in the medical field. …”
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multi-objective mathematical model for optimizing the collection and recycling of urban waste under conditions of uncertainty(The subject of study : Karaj city) by Mohsen Bijanpoor, Reza Ehtesham Rasi, Davood Gharakhany

“…</span></p> <p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">&nbsp;</span></p> <p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;"><strong>Key Words:</strong> two-stage stochastic programming, Lagrange's release method, linear programming, supply chain, waste management&emsp;</span></p> <p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">&nbsp;</span></p> <p style="text-align: left;"><span style="font-size: 12pt;"><strong><span style="font-family: times new roman, times, serif;">1.Introduction</span></strong></span></p> <p style="text-align: left;"><span style="font-family: times new roman, times, serif; font-size: 12pt;">In Iran, 50,000 tons of waste are produced daily, of which only about 10% are recycled. …”
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A Novel View on Dental Service Management Optimization Using Markov Processes by Evgeniy V. Kostyrin, Sergey N. Perekhodov, Grigoriy G. Bagdasaryan, Sergey A. Arutyunov

“…Doi: 10.28991/HEF-2024-05-03-05 Full Text: PDF…”
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Extracting named entities from Russian-language documents with different expressiveness of structure by Maria D. Averina, Olga A. Levanova

“…This work is devoted to solving the problem of recognizing named entities for Russian-language texts based on the CRF model. Two sets of data were considered: documents on refinancing with a good document structure, semi-structured texts of court records. …”
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Research on the financial early warning models based on ensemble learning algorithms: Introducing MD&amp;A and stock forum comments textual indicators. by Zhiheng Zhang, Zhenji Zhu, Yongjun Hua

“…Notably, stock forum comments outperformed MD&A text. Additionally, the MLP proved more effective in feature processing than PCA. …”
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Deep Leakage From Horizontal Federated Sequential Recommender Systems by Kaifeng Guo, Kesheng Xie, Zian Shi, Rongjian Gao

“…A smaller portion of research can extrapolate a multitude of users&#x2019; private data through the average gradients passed by the server. These investigations have analyzed information leakage in image and text domains, yet have not explored the leakage issues inherent within recommendation systems operating in distributed environments. …”
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Introducing an Evolutionary Method to Create the Bounds of Artificial Neural Networks by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…From the conducted experiments, it appears that the proposed method reduced the average classification error by 30%, compared to the genetic algorithm, and the average regression error by 45%, as compared to the genetic algorithm.…”
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3D computational fluid dynamics analysis of natural gas separation efficiency in multiphase pumping wells with heterogeneous flow regime by Charles C. Okafor, Patrick G. Verdin

“…For most simulations, turbulence effects were modelled with the [Formula: see text] turbulence model. The [Formula: see text] SST turbulence model was however considered for the sensitivity analysis on liquid viscosity. …”
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Research on power dispatching model based on knowledge graph entity extraction task by Yufeng Chai, Bo Zhang, Min Wang, Zhongying Zhao

“…The proposed framework advances intelligent power system dispatching by integrating text analytics, knowledge representation, and adaptive reasoning.…”
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