From organoids to organoids-on-a-chip: Current applications and challenges in biomedical research by Kailun Liu, Xiaowei Chen, Zhen Fan, Fei Ren, Jing Liu, Baoyang Hu, Yuanyuan Ji

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Dual-verification-based model fingerprints against ambiguity attacks by Boyao Zhao, Haozhe Chen, Jie Zhang, Weiming Zhang, Nenghai Yu

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Guest Editorial: Deep Learning for Visual Information Analytics and Management by krishna Kant Singh, Ahmed Elngar, Md Arafatur Rahman

“…The special issue focuses explicitly on deep learning and its application in visual computing and signal processing. It emphasizes on the extent to which Deep Learning can help specialists in understanding and analyzing complex images and signals. …”
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A Grouping Hotel Recommender System Based on Deep Learning and Sentiment Analysis by Fatemeh Abbasi, Ameneh Khadivar, Mohsen Yazdinejad

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Review of the AI-Based Analysis of Abdominal Organs from Routine CT Scans by Niloofar Tavakolian, Azadeh Nazemi, Ching Yee Suen

“…Accurate and timely segmentation of liver trauma in computed tomography (CT) images is essential for effective diagnosis and management in emergency medicine. …”
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A Double-Inertial Two-Subgradient Extragradient Algorithm for Solving Variational Inequalities with Minimum-Norm Solutions by Ioannis K. Argyros, Fouzia Amir, Habib ur Rehman, Christopher Argyros

“…Variational inequality problems (VIPs) provide a versatile framework for modeling a wide range of real-world applications, including those in economics, engineering, transportation, and image processing. In this paper, we propose a novel iterative algorithm for solving VIPs in real Hilbert spaces. …”
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Two-Level Semantic-Driven Diffusion Based Hyperspectral Pansharpening by Lin He, Wenrui Liang, Antonio Plaza

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A Revised Counter-Propagation Network Model Integrating Rough Set for Structural Damage Detection by Shao-Fei Jiang, Chun Fu, Chun-Ming Zhang, Zhao-Qi Wu

“…This paper proposes a revised counter-propagation network (CPN) model by integrating rough set in structural damage detection, applicable for processing redundant and uncertain information as well as assessing structural health states. …”
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In silico modelling of neuron signal impact of cytokine storm-induced demyelination by Geoflly L. Adonias, Harun Siljak, Sasitharan Balasubramaniam, Michael Taynnan Barros

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Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels by Friederike Barkmann, Andreas Lindner, Ronald Würflinger, Helmut Höttinger, Johannes Rüdisser

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Policy-Based Smart Contracts Management for IoT Privacy Preservation by Mohsen Rouached, Aymen Akremi, Mouna Macherki, Naoufel Kraiem

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A novel methodological approach to SaaS churn prediction using whale optimization algorithm. by Muhammed Kotan, Ömer Faruk Seymen, Levent Çallı, Sena Kasım, Burcu Çarklı Yavuz, Tijen Över Özçelik

“…Results show that WOA-reduced datasets improve processing efficiency and outperform full-variable datasets in predictive performance. …”
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Improving Wireless Sensor Network Security Using Quantum Key Distribution by Laith H. Alhasnawy, Ameer K. AL-Mashanji

“…In this paper, quantum computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor networks. …”
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Indefinite Time Directed Quantum Metrology by Gaurang Agrawal, Pritam Halder, Aditi SenDe

“…We explore the performance of the metrology scheme by employing a quantum time flip during encoding, a specific case of processes with indefinite time direction, which we refer to as indefinite time directed metrology ($ITDM$). …”
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Modelling and Simulation of Surface Diffusion in Heterogeneous Porous Materials by Sean P. Rigby

“…The surface diffusion flux is known to dominate mass transport within many amorphous porous materials, used as adsorbents, heterogeneous catalysts, and membranes, employed in many chemical processes. However, while the impact of surface coverage has been widely studied and reviewed, relatively little attention has been paid to the impact of surface geometric and energetic heterogeneity on the surface diffusion rate, which would inform intelligent materials selection. …”
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Research on Railway Passenger Volume Forecast Based on the Spline Interpolation and IPSO-Gradient Difference Acceleration Rule by Dingyuan Fan, Fei Yang, Jinghao Ji, Zexi Zhang

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The combined use of scRNA-seq and network propagation highlights key features of pan-cancer Tumor-Infiltrating T cells. by Adèle Mangelinck, Elodie Molitor, Ibtissam Marchiq, Lamine Alaoui, Matthieu Bouaziz, Renan Andrade-Pereira, Hélène Darville, Etienne Becht, Céline Lefebvre

“…To overcome noise and sparsity inherent to single cell transcriptomics, we then propagated the gene signatures by diffusion in a protein-protein interaction network using the Patrimony high-throughput computing platform. This methodology enabled the refining of signatures by rescoring genes based on their biological connectivity and shed light not only on processes characteristics of TI-Treg and Tex development and functions but also on their immunometabolic specificities. …”
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Financial technologies trends and how they will shape financial markets by B. N. Kobadilov, G. B. Omarov, D. D. Yermekbayeva

“…As a result seven general trends revealed: Financial markets in pursue of blockchain benefits in speed and wealth management, Regulation and RegTech solving compliance issues, All parties want to master big data, Participants of Fintech industry investing more in Innovation labs, Opportunity cost of acquiring cloud solutions decreasing, fintech industry players consolidating and collaborating, Fintech developers providing platforms for fintech developers, More and more cognitive computing is used in financial services, Automatization of Know Your Customer internal processes and Anti Money Laundering.…”
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TWINVAX: conceptual model of a digital twin for immunisation services in primary health care by L. De Oliveira El-Warrak, C. Miceli de Farias

“…The system leverages Industry 4.0 concepts and technologies, such as the Internet of Things (IoT), machine learning, and cloud computing, to improve vaccination management and monitoring.MethodsThe modelling was conducted using the Unified Modelling Language (UML) to define workflows and processes such as temperature monitoring of storage equipment and tracking of vaccination status. …”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Our re-implementation of each method in Java allows meaningful comparisons of the computational complexity and computing time associated with each algorithm. …”
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