CMap: a database for mapping job titles, sector specialization, and promotions across 24 sectors by Shehryar Subhani, Shahan Ali Memon, Bedoor AlShebli

“…Using natural language processing techniques and large language models, we standardize 5.2 million job titles into 123 thousand unique titles and propose a Specialization Index to quantify how concentrated a given title is within a sector. …”
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DOMINO: a network‐based active module identification algorithm with reduced rate of false calls by Hagai Levi, Ran Elkon, Ron Shamir

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mRNA turnover rate limits siRNA and microRNA efficacy by Erik Larsson, Chris Sander, Debora Marks

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Holographic deep thermalization for secure and efficient quantum random state generation by Bingzhi Zhang, Peng Xu, Xiaohui Chen, Quntao Zhuang

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3D reconstruction of digital rocks based on StyleGAN and transformer by Ting Zhang, Wenqing Zhang

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New Adaptive Algorithms for GOP Size Control with Return Channel Suppression in Wyner-Ziv Video Coding by Charles Yaacoub, Joumana Farah, Béatrice Pesquet-Popescu

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A Learning Path Recommendation Approach in a Fuzzy Competence Space by Ronghai Wang, Baokun Huang, Jinjin Li

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AI-Driven Framework for Evaluating Climate Misinformation and Data Quality on Social Media by Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi

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High entropy alloy property predictions using a transformer-based language model by Spyros Kamnis, Konstantinos Delibasis

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Constraints on the optimization of gene product diversity by Daohan Jiang, Nevraj Kejiou, Yi Qiu, Alexander F Palazzo, Matt Pennell

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Diffusion Model as a Base for Cold Item Recommendation by Jungkyu Han, Sejin Chun

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Enhancing security and usability with context aware multi-biometric fusion for continuous user authentication by Ayeswarya S., John Singh K.

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ViT-Based Classification and Self-Supervised 3D Human Mesh Generation from NIR Single-Pixel Imaging by Carlos Osorio Quero, Daniel Durini, Jose Martinez-Carranza

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A New Definition of Fractional Derivatives Based on Truncated Left-Handed Grünwald-Letnikov Formula with 0<α<1 and Median Correction by Zhiwu Liao

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Quantifying Normal Diaphragmatic Motion and Shape and Their Developmental Changes via Dynamic MRITake-Home Points by You Hao, PhD, Jayaram K. Udupa, PhD, Yubing Tong, PhD, Caiyun Wu, PhD, Joseph M. McDonough, MS, Samantha Gogel, BA, Oscar H. Mayer, MD, Mostafa Alnoury, MD, Patrick J. Cahill, MD, Jason B. Anari, MD, Drew A. Torigian, MD

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SICNN: Soft Interference Cancellation Inspired Neural Network Equalizers by Stefan Baumgartner, Oliver Lang, Mario Huemer

“…In recent years data-driven machine learning approaches have been extensively studied to replace or enhance traditionally model-based processing in digital communication systems. In this work, we focus on equalization and propose a novel neural network (NN-)based approach, referred to as SICNN. …”
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An Improved Model for Detecting the Presence of Pesticide Residues in Edible Parts of Tomatoes, Cabbages, Carrots, and Green Pepper Vegetables Using Batch Image Analysis by Nabaasa, Evarist, Natumanya, Deborah, Mabirizi, Vicent

“…The major improvement in this study was batch image processing, which significantly increases computational efficiency and enables the simultaneous analysis of several images. …”
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Artificial Intelligence and Machine Learning Approaches for Target-Based Drug Discovery: A Focus on GPCR-Ligand Interactions by M. O. Otun

“… G protein-coupled receptors (GPCRs) represent one of the most significant classes of drug targets due to their pivotal roles in various physiological processes and disease mechanisms. Traditional methods of drug discovery targeting GPCR-ligand interactions are often time-consuming, resource-intensive, and limited by experimental constraints. …”
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EXPLORING AGRI-PROJECTS’ RISKS AND OPPORTUNITIES IN A CHANGING CLIMATE: A CASE OF BLOEMFONTEIN, FREE STATE PROVINCE, SOUTH AFRICA by Bernard Moeketsi Hlalele

“…Innovation is one of the most fundamental processes that underpins the economic growth and serves as an economic basis for developing solutions to socio-economic and environmental challenges such as climate change. …”
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A novel numerical simulation framework for predicting pore space evolution and rock properties through sedimentation, compaction and diagenesis by Bowen Ling, Xingming Du, Shuheng Du, Fengchang Yang

“…Abstract The evolution of pore space plays a crucial role in evaluating the physical properties of rocks, primarily influenced by processes such as sedimentation, compaction, dissolution, cementation, and other diagenetic phenomena. …”
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