The Dangers of Building Your Own Python Applications: False-Positives, Unknown Publishers, and Code Licensing by Corey Schmidt

“…Making Python applications is hard, but not always in the way you expect. …”
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microRNAs as therapeutic targets in intestinal diseases by Chen Wang, Jiangning Chen

“…The present review outlines the research advances of miRNAs in IBD, CRC and CAC, with an emphasis on their application values as therapeutic targets and the associated challenges.…”
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No-Code Technology in Designing a Web-Based Stock Recording Applications Using AppSheet by Amanda Putri Herawati, Thomas Budiman, Anton Zulkarnain Sianipar, Balthasar Sebastian Lumbantobing

“…Users found the app easy to use, helpful in inventory monitoring, and faster decision-making. The app, designed using no-code technology for operational digitization, is expected to improve competitiveness and customer service quality.…”
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Facilitators and challenges to ICD-11 implementation: a qualitative study using the consolidated framework for implementation science by Erwyn Chin Wei Ooi, Zaleha Md Isa, Mohd Rizal Abdul Manaf, Ahmad Soufi Ahmad Fuad, Hammad Fahli Sidek, Azman Ahmad, Mimi Nurakmal Mustapa, Mohamad Fadli Kharie, Shahidah Adilah Shith, Nuraidah Mohd Marzuki

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A DSL-Driven Solution and Code Generation for Accelerated Tourism Decision Support System Development by Adnane Souha, Charaf Ouaddi, Lamya Benaddi, Hamza Abdelmalek, El Mahi Bouziane, Abdeslam Jakimi

“…However, their development is often complex, costly, and requires expertise in both software engineering and Artificial Intelligence, making them inaccessible to many organizations. To address these challenges, this paper introduces a Domain-Specific Language (DSL), a graphical decision rule modeling tool, and code generation templates designed to streamline DSS development for smart tourism. …”
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Learning Discriminative Transferable Sparse Coding for Cross-View Action Recognition in Wireless Sensor Networks by Zhong Zhang, Shuang Liu

“…In this paper, we focus on the issue of cross-view action recognition in WSN and propose a novel algorithm named discriminative transferable sparse coding (DTSC) to overcome the drawback. We learn the sparse representation with an explicit discriminative goal, making the proposed method suitable for recognition. …”
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Low-complexity likelihood probability derivation algorithm for non-binary LDPC-coded modulation system by Guang-hua HE, Bao-ming BAI, Xiao MA, Bing LI

“…The derivation of likelihood probabilities which are sent into the decoder in many LDPC-coded modulation systems is a challenging task especially when high-order modulations are used.This is because likelihood probabilities are usually complicated functions of the channel output and their calculation also requires knowledge of the channel parameters.To this end,a low-complexity likelihood probability derivation algorithm was proposed.Also,the Euclidean distance between the received signal and the constellation points was considered to divide the constellation points into two signal sets.Simulation results show that the proposed algorithm provides good trade-offs between performance and complexity,making it a good candidate for the hardware implementation of the front-end in the non-binary LDPC decoders.…”
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Framing the role of experts in platform governance: Negotiating the code of practice on disinformation as a case study by Kateryna Chystoforova, Urbano Reviglio

“…Given the growing complexity of platform governance, the role of experts in digital policy-making processes is becoming more critical. However, there remains a gap in the literature regarding the specific role of experts in shaping platform governance processes. …”
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CirclizePlus: using ggplot2 feature to write readable R code for circular visualization by Zheyu Zhang, Tianze Cao, Yuexia Huang, Yu Xia

“…In the field of circular visualization, circlize is a popular software, but it is based on procedural programming. Making it object-oriented can make the logic of the written code clearer and improve the reusability of the code. …”
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Balancing prior knowledge and sensory data in a predictive coding model of coherent motion detection. by Elnaz Nemati, David B Grayden, Anthony N Burkitt, Parvin Zarei Eskikand

“…This study introduces a neurobiologically inspired computational model based on the predictive coding algorithm, providing insights into coherent motion detection processes. …”
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Long non-coding RNAs direct the SWI/SNF complex to cell type-specific enhancers by James A. Oo, Timothy Warwick, Katalin Pálfi, Frederike Lam, Francois McNicoll, Cristian Prieto-Garcia, Stefan Günther, Can Cao, Yinuo Zhou, Alexey A. Gavrilov, Sergey V. Razin, Alfredo Cabrera-Orefice, Ilka Wittig, Soni Savai Pullamsetti, Leo Kurian, Ralf Gilsbach, Marcel H. Schulz, Ivan Dikic, Michaela Müller-McNicoll, Ralf P. Brandes, Matthias S. Leisegang

“…However, the mechanisms that guide SWI/SNF to specific genomic targets have remained elusive. Here we demonstrate that trans-acting long non-coding RNAs (lncRNAs) direct the SWI/SNF complex to cell type-specific enhancers. …”
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PyNoetic: A modular python framework for no-code development of EEG brain-computer interfaces. by Gursimran Singh, Aviral Chharia, Rahul Upadhyay, Vinay Kumar, Luca Longo

“…Notably, PyNoetic introduces an intuitive and end-to-end GUI coupled with a unique pick-and-place configurable flowchart for no-code BCI design, making it accessible to researchers with minimal programming experience. …”
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NetCodeAIoT: Enhancing Augmented Intelligence of Things for Vehicle Systems in 5G Networks by Okuwudili Mathew Ugochukwu, Renata Lopes Rosa, Muhammad Saadi, Demostenes Z. Rodriguez, Frederico G. Guimaraes

“…NetCodeAIoT dynamically adjusts the sparsity level of the decoding matrix, implements unequal error protection network coding, and enables instantaneous decoding of data. …”
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A Novel Approach for Enhancing Code Smell Detection Using Random Convolutional Kernel Transform by Mostefai Abdelkader, Mekour Mansour

“… Context: In software engineering, the presence of code smells is closely associated with increased maintenance costs and complexities, making their detection and remediation an important concern. …”
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Beyond Manual Media Coding: Evaluating Large Language Models and Agents for News Content Analysis by Stavros Doropoulos, Elisavet Karapalidou, Polychronis Charitidis, Sophia Karakeva, Stavros Vologiannidis

“…The vast volume of media content, combined with the costs of manual annotation, challenges scalable codebook analysis and risks reducing decision-making accuracy. This study evaluates the effectiveness of large language models (LLMs) and multi-agent teams in structured media content analysis based on codebook-driven annotation. …”
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Leveraging Multilingual Transformer for Multiclass Sentiment Analysis in Code-Mixed Data of Low-Resource Languages by Muhammad Kashif Nazir, Cm Nadeem Faisal, Muhammad Asif Habib, Haseeb Ahmad

“…These diverse perspectives offer valuable insights for data-driven decision-making. While extensive sentiment analysis approaches have been developed for resource-rich languages like English and Chinese, low-resource languages such as Roman Urdu and Roman Punjabi, especially in code-mixed contexts, have been largely neglected due to the lack of datasets and limited research on their unique morphological structures and grammatical complexities. …”
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Choosing wisely: Improving decision-making for deployment of diagnostics in primary care settings by Varsha Shridhar, Vasudha Kannan, Ramakrishna Prasad, Pavitra Mohan

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Making JavaScript Render Decisions to Optimize Security-Oriented Crawler Process by Onur Aktas, Ahmet Burak Can

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Analyzing Decision-making Bias in Female CEOs through the Lens of Behavioral Strategy by Masoumeh Hosseinzadeh Shahri

“…A total of 76 primary codes, 18 sub-themes and 13 main themes were extracted, which were categorized into three categories. …”
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Accretion Bursts in Young Intermediate-mass Stars Make Planet Formation Challenging by Indrani Das, Eduard Vorobyov, Shantanu Basu

“…The ensuing MRI bursts destroy the dust rings, making planetesimal formation via SI problematic. …”
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