Optimizing Curriculum Vitae Concordance: A Comparative Examination of Classical Machine Learning Algorithms and Large Language Model Architectures by Mohammed Maree, Wala’a Shehada

“…Our results revealed that while conventional models excel at processing structured data, LLMs significantly enhance the interpretation and matching of intricate textual information. …”
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A Memory Hierarchy Model Based on Data Reuse for Full-Search Motion Estimation on High-Definition Digital Videos by Alba Sandyra Bezerra Lopes, Ivan Saraiva Silva, Luciano Volcan Agostini

“…The results show that it is possible to reach 38 frames per second when processing full HD frames (1920×1080 pixels) using nearly 299 Mbytes per second of external memory bandwidth.…”
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Comprehensive Analysis of Mass Loading Effects on GPS Station Coordinate Time Series Using Different Hydrological Loading Models by Zhen Li, Lianhai Cao, Shuoyan Jiang

“…Considering the complexity of the hydrological process, we adopt the same atmospheric loading and nontidal ocean loading estimated from the TUGO-m barotropic model (ATMMO) and different hydrological loadings estimated from the Global Land Data Assimilation System (GLDAS) and the Global Land Surface Discharge Model (LSDM). …”
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Attention-Based Convolutional Aggregation: An Efficient Model for Off-Gas Profile Forecasting and Dynamic Pre-Control of BOF Steelmaking by Tian-yi Xie, Jun-guo Zhang, Lan-jie Li, Fei Zhang, Shuai Liu, Han-jie Guo

“…The importance of the time series’ channels and time-steps were also analyzed by models with attention mechanism. Then, a deep-learning model is proposed to forecast the dynamic off-gas profile, named attention-based convolutional aggregation (ABCA). …”
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An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection by Gholamreza Memarzadeh, Faezeh Amirteimoury, Hossein Noori, Farshid Keynia

“…Compared to benchmark models such as WT-MI-IG-MLP and ensemble-FFA, the proposed model achieved superior forecasting accuracy. …”
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Robust Seizure Prediction Model Using EEG Signal for Temporal Lobe Epilepsy Leveraging Deep Learning and Continual Learning by Bikash Chandra Sahoo, Shruti Mishra, Sandeep Kumar Satapathy, Sachin Kumar

“…The model improved by 1.2% over the baseline GoogLeNet (97.5%) to reach an accuracy of 98.7% by including Elastic Weight Consolidation (EWC) for continuous learning. …”
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Impact of a Virtual Reality Video ("A Walk-Through Dementia") on YouTube Users: Topic Modeling Analysis by Xiaoli Li, Xiaoyu Liu, Cheng Yin, Sandra Collins, Eman Alanazi

“…ResultsWe identified the top 300 most frequent words in the dataset and categorized them into nouns, verbs, and adjectives or adverbs using a part-of-speech tagging model, fine-tuned for accurate tagging tasks. The topic modeling process identified eight8 initial topics based on the most frequent words. …”
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Preparation and pharmacokinetic evaluation of Staphylococcus phage COP-80B for treatment of periprosthetic joint infections in a mouse model by Vida Štilec, Monika Marušić, Nika Janež, Urban Bezeljak, Lucija Rebula, Maja Leskovec, Rihard Trebše, Simon Horvat, Matjaž Peterka

“…In this study, we address both challenges and present a scalable phage production process for the Staphylococcus epidermidis-specific phage COP-80B We prepared a highly purified phage suspension, as verified through qPCR, HPLC, NTA and short-read sequencing, which was used in a preclinical pharmacokinetic study in an uninfected mice model. …”
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Factors of suicide-related behaviors based on stress-vulnerability model and prevention strategies among nurses: a scoping review by Xiaoyu Yang, Xiaoyu Yang, Deying Hu, Lecheng Li, Lecheng Li, Rezvanguli Rezak, Rezvanguli Rezak

“…The process of data synthesis was carried out using narrative analysis.ResultsThe study encompassed 40 papers from 15 different countries. …”
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Finite Element Modeling of a Flat Cell of Highly Porous Piezocomposite with Inclined Edges Taking into Account Nonuniform Polarization by A. N. Soloviev, M. S. Germanchuk

“…The literature presents various methods for their mathematical modeling, including those based on periodic Gibson-Ashby cells. …”
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Performance enhancement of gas cyclone with streamlined ports using CFD simulations by Moustafa M. Soliman, Yasser El-shaer, Khairy Elsayed, Mohamed A. Ibrahim

“…Cyclones A0 and C1 have the highest collection efficiency of all cyclone models.…”
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Applying the practical, robust, implementation and sustainability model (PRISM) to a community-based youth participatory action research program by Nicholas Szoko, Tyia K. Wilson, Ebonie Slade, Ti’yanna Risher, Marquise Wheeler, Elizabeth Miller, Alison J. Culyba

“…Abstract Background Youth participatory action research (YPAR) represents an empowerment-based process in which youth identify and address issues in their schools and communities. …”
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TomatoPoseNet: An Efficient Keypoint-Based 6D Pose Estimation Model for Non-Destructive Tomato Harvesting by Jipeng Ni, Licheng Zhu, Lizhong Dong, Ruixue Wang, Kaikang Chen, Jianbo Gao, Wenbei Wang, Liming Zhou, Bo Zhao, Jiacheng Rong, Zhenhao Han, Kunlei Lu, Xuguang Feng

“…To address these challenges, we propose a keypoint-based pose estimation model, TomatoPoseNet, tailored to meet the agronomic requirements of tomato harvesting. …”
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A semi-analytical model for flow regime diagnosis in multi-fractured horizontal wells within deep coalbed methane reservoirs by Chang-qing Liu, Zhao-biao Yang, He-qing Chen, Guo-xiao Zhou, Yu-hui Liang, Jun-yu Gu, Yu-qiang Wang, Cun-lei Li, Ben-ju Lu, Shuai-long Feng, Jia-nan Wang

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Presenting Iran's new economic diplomacy model with an export approach for neighboring countries with an emphasis on cultural and media diplomacy capacities by sekhavat kheirkhah, sayed Ali Tabatabai Panah, Alireza Soltani, Hamid Reza Shirzad

“…Conclusion and discussion The purpose of this research is to diagnose Iran's export process to neighbor countries and to provide a suitable model for Iran's new economic diplomacy to improve the country's commercial position using the structural equation method. …”
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The role of lighter oil components on CO2-induced swelling and pressure decay dynamics under reservoir conditions by Bilal Zulfiqar, Moh’d Amro, Helmut Geistlinger

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Self-Selection Models in Determination of Target Dividend Payout Ratio of Real Estate Domestic Companies Quoted on the Warsaw Stock Exchange by Mieczysław Kowerski, Jarosław Bielak

“…The conducted research has shown that Heckman’s self-selection model proved to be a very good tool for analyzing dividend decisions not only because of formal properties ensuring the consistency of the parameters estimator but also because of an accurate description of the decision process, which is of a two-step nature (decision on payment — determining the payout level). …”
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Forecasting Significant Wave Height Intervals Along China’s Coast Based on Hybrid Modal Decomposition and CNN-BiLSTM by Kairong Xie, Tong Zhang

“…Furthermore, an optimization algorithm that integrates the proposed innovative enhancement strategies is used to automatically adjust the network parameters, making the model more lightweight. Results demonstrate that under a 0.95 prediction interval nominal confidence (PINC), the prediction interval coverage probability (PICP) reaches 100% for at least 6 days across all datasets, indicating that the developed system exhibits superior performance in short-term wave forecasting.…”
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Deep Learning Approach for Predicting Psychodiagnosis by Zouaoui Samia, Khamari Chahinez

“…Moreover, we have compared our model with three other programs on the same dataset and the accuracy reached 78.52%. …”
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Evaluating language model embeddings for Parkinson’s disease cohort harmonization using a novel manually curated variable mapping schema by Yasamin Salimi, Tim Adams, Mehmet Can Ay, Helena Balabin, Marc Jacobs, Martin Hofmann-Apitius

“…Abstract Data Harmonization is an important yet time-consuming process. With the recent popularity of applications using Language Models (LMs) due to their high capabilities in text understanding, we investigated whether LMs could facilitate data harmonization for clinical use cases. …”
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