DeepAIPs-SFLA: Deep Convolutional Model for Prediction of Anti-Inflammatory Peptides Using Binary Pattern Decomposition of Novel Multiview Descriptors with an SFLA Approach by Shahid Akbar, Ali Raza, Wajdi Alghamdi, Aamir Saeed, Hashim Ali, Quan Zou

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Quantum Classification Outside the Promised Class by Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris

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Numérique et humanités : de l’ancillarité à la fécondité grâce à la modélisation computationnelle des connaissances by Yannis Delmas-Rigoutsos

“…The digital humanities follow the general pattern of digital history, which we will briefly describe. …”
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Big data, big responsibilities by Primavera De Filippi

“…With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. …”
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Interpretation of myocardial perfusion SPECT with attenuation correction. Part 2 by A. A. Ansheles, V. В. Sergienko

“…Objective: to investigate the possibilities of a combined single photon emission computed tomography/computed tomography (SPECT/CT) system during myocardial perfusion studies and to examine the features of their interpretation.Subjects and methods. …”
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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

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Updating “A dataset on patient-individual lymph node involvement in oropharyngeal squamous cell carcinoma” with an additional dataset from a second institutionzenodo by Sergi Benavente, Roman Ludwig, Panagiotis Balermpas, Jan Unkelbach

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Dietary interventions and glycaemic control in type 2 diabetes: A systematic review and meta-analysis by Anesu Marume, Exgratia Chidoko, Joconiah Chirenda

“…A random-effects model was used for meta-analysis, with effect sizes computed using R Studio. Heterogeneity was assessed using the I2 statistic. …”
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A Survey on QoE Management Schemes for HTTP Adaptive Video Streaming: Challenges, Solutions, and Opportunities by Reza Kalan, Ismail Dulger

“…Monitoring network traffic patterns and client behaviors provides client-side players with greater intelligence to adapt suitable video quality. …”
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Dynamic token encryption for preventing permission leakage in serverless architectures by Yu Liu, Fu Li, Chenhao Sun

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Kinaesthetic empathy through the lens of the cinematographer: physiological and phenomenological alignments in the act of creation by William Primett, Ksenia Mukhina, Mehmet Burak Yilmaz, Willeke Rietdijk, Willeke Rietdijk, Pia Tikka

“…In turn, we draw triangulations between visual perception, sensorimotor patterns and narrative structures to inform the bidirectional nature of empathic engagement in cinematic storytelling. …”
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Seasonal and Spatial Dynamics of Surface Water Resources in the Tropical Semi-Arid Area of the Letaba Catchment: Insights from Google Earth Engine, Landscape Metrics, and Sentinel-... by Makgabo Johanna Mashala, Timothy Dube, Kingsley Kwabena Ayisi

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Detecting Learning Behavior in Programming Assignments by Analyzing Versioned Repositories by John Chen, Serena Lau, Juho Leinonen, Valerio Terragni, Nasser Giacaman

“…We evaluated Polivr using anonymised repositories collected from undergraduate computing courses. The resulting visualisations revealed trends and patterns in student learning behaviours, such as coding habits and progression over time. …”
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Discrete variable 3D models in Computer extended Descriptive Geometry (CeDG): Building of polygonal sheet-metal elbows and comparison against CAD by Manuel Prado-Velasco, Laura García-Ruesgas

“…The Computer extended Descriptive Geometry (CeDG) is as a novel approach based on Descriptive Geometry to build 3D models within the framework provided by Dynamic Geometry Software tools. …”
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Computed Tomography Scan and Clinical-based Complete Response Prediction in Locally Advanced Rectal Cancer after Neoadjuvant Chemoradiotherapy: A Machine Learning Approach by Seyyed Hossein Mousavie Anijdan, Daryush Moslemi, Reza Reiazi, Hamid Fallah Tafti, Ali Akbar Moghadamnia, Reza Paydar

“…Examining the response to treatment is one of the most important factors in the follow-up of patients; therefore, in this study, radiomics patterns derived from pretreatment computed tomography images in rectal cancer and its relationship with treatment response measurement criteria have been investigated. …”
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Integrating dimension reduction and out-of-sample extension in automated classification of ex vivo human patellar cartilage on phase contrast X-ray computed tomography. by Mahesh B Nagarajan, Paola Coan, Markus B Huber, Paul C Diemoz, Axel Wismüller

“…Phase contrast X-ray computed tomography (PCI-CT) has been demonstrated as a novel imaging technique that can visualize human cartilage with high spatial resolution and soft tissue contrast. …”
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Sparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection by Jia Xu, Han Pu, Dong Wang

“…This circuit is designed to detect and eliminate the computational effort associated with zero values in the sparse convolutional kernels, thereby enhancing energy efficiency. (2) The data access patterns in convolutional neural networks introduce significant pressure on the high-latency off-chip memory access process. …”
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Use Artificial Neural Network Neococcontron in Distinguishing Handwritten Arabic Numerals by Laheeb Ibrahim, Hanan Ali

“…Artificial Neural Networks have wide applications now a day, Among these are in the field of pattern recognition and image processing. This is due to the fact that it has a good performance and advanced mathematical computation power particularly its flexible adaptation to parallelism technique. …”
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The Dynamics of Air Pollution in the Southwestern Part of the Caspian Sea Basin (Based on the Analysis of Sentinel-5 Satellite Data Utilizing the Google Earth Engine Cloud-Computin... by Vladimir Tabunshchik, Aleksandra Nikiforova, Nastasia Lineva, Polina Drygval, Roman Gorbunov, Tatiana Gorbunova, Ibragim Kerimov, Cam Nhung Pham, Nikolai Bratanov, Mariia Kiseleva

“…Other pollutants exhibited more complex distribution patterns, influenced by diverse mechanisms associated with local emission sources and atmospheric dynamics.…”
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Developing Laterality-Specific Computable Phenotypes from Electronic Health Record Data, Employing Treatment-Warranted Diabetic Macular Edema as a Use Case by Kaili Ding, MBBS, MS, Tracy Z. Lang, BS, Roberta McKean-Cowdin, PhD, Hossein Ameri, MD, PhD, Narsing A. Rao, MD, Brian C. Toy, MD

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