Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…This representation has unveiled patterns characterizing the emergence of new scientific fields through the study of collaboration networks and the path of impactful discoveries through the study of citation networks. …”
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Regional dynamics and mechanisms behind SARS-CoV-2 XDV.1 prevalence in Chongqing via genomic surveillance and molecular insights by Jin Yan, Fangyuan Liu, Sihan Hu, Junyi Pan, Qi Yan, Lu Yao, Huhao Jin, Xiaofeng Chen, Jiuhong He

“…XDV.1 exhibits structural features suggestive of potential immune evasion mechanisms, including conformational shifts and novel hydrogen-bond networks that could interfere with antibody recognition. …”
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Atmospheric Water Monitoring by Using Ground-Based GPS during Heavy Rains Produced by TPV and SWV by Guoping Li, Jia Deng

“…Results indicate that an increase in GPS precipitable water (GPS-PW) occurs prior to the development of the TPV and SWV; rainfall occurs mainly during high levels of GPS-PW. The evolution features of GPS-PW in rainfall process caused by different weather systems over the Tibetan Plateau (TP) also differ. …”
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Sentiment analysis of user reviews: exploring Duolingo and Babbel in English language learning by Husnat Ahmed Tabssam, Saima Akhtar Chattha, Muhammad Farooq Javeed, Ali Hayat

“…By employing a mixed-methods approach that integrates sentiment analysis, network analysis, and linguistic features analysis, a dataset of 190 user reviews for each application collected from app review platforms has been analysed. …”
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform. by Nhu-Ngoc Dao, Minho Park, Joongheon Kim, Sungrae Cho

“…As an important part of IoTization trends, wireless sensing technologies have been involved in many fields of human life. In cellular network evolution, the long term evolution advanced (LTE-A) networks including machine-type communication (MTC) features (named LTE-M) provide a promising infrastructure for a proliferation of Internet of things (IoT) sensing platform. …”
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Short-Term Passenger Flow Prediction Based on Federated Learning on the Urban Metro System by Guowen Dai, Jinjun Tang, Jie Zeng, Yuting Jiang

“…To address these issues, this study proposes a federated learning framework integrating convolutional neural networks (CNNs) and bidirectional gated recurrent units (BIGRU). …”
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On the attractiveness of social media for language learning: a look at the state of the art by Katerina Zourou

“…We then critically discuss three key features of web 2.0 technologies (user participation, openness and network effects). …”
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Physics-enhanced machine learning for predicting strength of high-carbon chromium steel during thermomechanical processing and spheroidizing annealing by Changqing Shu, Shasha Zhang, Peiheng Ding, Yaxin Sun, Xuewei Tao, Xiaolin Zhu, Qiuhao Gu, Liukai Hua, Song Xue, Zhengjun Yao

“…To mitigate dimensionality issues, pearson correlation and random forest rankings are applied for feature selection. A physical loss function is integrated into the neural network, ensuring alignment with metallurgical principles. …”
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Mapping technological innovation dynamics in artificial intelligence domains: Evidence from a global patent analysis. by Na Liu, Philip Shapira, Xiaoxu Yue, Jiancheng Guan

“…This paper formulates a new AI patent search strategy and applies this to provide a landscape analysis of AI innovation dynamics and technology evolution. The paper uses patent analyses, network analyses, and source path link count algorithms to examine AI spatial and temporal trends, cooperation features, cross-organization knowledge flow and technological routes. …”
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HOW TO CREATE BUSINESS PERFORMANCE MANAGEMENT (BPM) SYSTEM by B. Ye. Odintsov, A. N. Romanov

“…The performance management is a new approach based on the evolution of the well-known principles and laws of business management. …”
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Survey on automated vulnerability mining techniques for IoT device firmware by LIU Hangtian, GAN Shuitao, ZHANG Chao, ZHANG Hongqi, SUN Wenhou, GAO Zicong, ZHAO Min, BAI Xue

“…The security analysis of IoT device firmware has been conducted, with a focus on its black-box nature, network characteristics, and customization features. …”
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De l'attrait des médias sociaux pour l'apprentissage des langues – Regard sur l'état de l'art by Katerina Zourou

“…We then critically discuss three key features of web 2.0 technologies (user participation, openness and network effects). …”
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Emerging advances in spinal cord injury: An introductory overview by Michael G. Fehlings, Shintaro Honda, Peter Vajkoczy, Narihito Nagoshi

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A Simple Predictive Enhancer Syntax for Hindbrain Patterning Is Conserved in Vertebrate Genomes. by Joseph Grice, Boris Noyvert, Laura Doglio, Greg Elgar

“…<h4>Background</h4>Determining the function of regulatory elements is fundamental for our understanding of development, disease and evolution. However, the sequence features that mediate these functions are often unclear and the prediction of tissue-specific expression patterns from sequence alone is non-trivial. …”
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FREEDOM FRANCHISING AS AN ALTERNATIVE TO THE CLASSIC FRANCHISING by L. A. Solovova

“…The aim of the article is to systemize and enrich the knowledge in the sphere of the franchising model evolution. The author’s task was to identify the key features of the freedom franchising model, to compare the freedom franchising with classic franchising and to formulate the conditions under which the freedom franchising model can be developed. …”
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Analysis of 6G and B5G waveforms using hybrid MF-ED and ECG-ED spectrum sensing techniques by Arun Kumar, Aziz Nanthaamornphong

“…The rapid evolution of wireless communication has necessitated advanced waveform analysis for beyond-fifth-generation (B5G) and sixth-generation (6G) radio networks, focusing on efficient spectrum utilization. …”
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Certificateless aggregate signcryption scheme with multi-ciphertext equality test for the internet of vehicles. by Xiaodong Yang, Xilai Luo, Ruixia Liu, Songyu Li, Ke Yao

“…The Internet of Vehicles (IoV) facilitates connectivity among vehicles, roadside units, and smart terminals, enabling the evolution of traditional traffic networks into intelligent transport systems. …”
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Detection of Inverted Channels Using Sentinel-1 Data and Sentinel-2 Data on Google Earth Engine: A Comparative Analysis by Xuhua Weng

“…Accurate mapping of these features is crucial for understanding landscape evolution in arid regions. …”
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Devanagari Character Recognition: A Comprehensive Literature Review by Sandhya Arora, Latesh Malik, Sonakshi Goyal, Debotosh Bhattacharjee, Mita Nasipuri, Ondrej Krejcar

“…This literature review examines the evolution of handwritten Devanagari character recognition (HDCR), exploring early template matching and feature extraction methods that struggled with the script&#x2019;s intricacy. …”
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Dual-coding Contrastive Learning Based on the ConvNeXt and ViT Models for Morphological Classification of Galaxies in COSMOS-Web by Shiwei Zhu, Guanwen Fang, Chichun Zhou, Jie Song, Zesen Lin, Yao Dai, Xu Kong

“…In this study, we propose a self-supervised method called contrastive learning to upgrade the unsupervised machine learning (UML) part of the USmorph framework, aiming to improve the efficiency of feature extraction in this step. The upgraded UML method primarily consists of the following three aspects. (1) We employ a convolutional autoencoder to denoise galaxy images and adaptive polar coordinate transformation to enhance the model’s rotational invariance. (2) A pretrained dual-encoder convolutional neural network based on ConvNeXt and a vision transformer is used to encode the image data, while contrastive learning is then applied to reduce the dimension of the features. (3) We adopt a bagging-based clustering model to cluster galaxies with similar features into distinct groups. …”
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