Covid-19 and the South African Pentecostal Landscape: Historic Shift from Offline Liturgical Practice to Online Platforms by John Mhandu and Vivian Ojong

“…This article explores how offline liturgical practices, traditional power dynamics, and the performative and communication characteristics of Pentecostalism are decoded into the digital space, and the impact it has on congregants and church leadership. The self-image of South African Pentecostalism is un-packed in the context of Covid-19. …”
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Advanced AI-driven detection of interproximal caries in bitewing radiographs using YOLOv8 by Mahsa Bayati, Berhrouz Alizadeh Savareh, Hojjat Ahmadinejad, Farzaneh Mosavat

“…In this retrospective study on 552 radiographs, a total of 1,506 images annotated at Tehran University of Medical Science were processed. …”
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Fingerprint abnormalities in systemic sclerosis: Results of a single center pilot study by Kodishala Chanakya, Liza Rajasekhar

“…FP quality assessment was done by recording the National Institute of Standards and Technology FP Image Quality (NFIQ) scores. NFIQ's 5 levels of quality are intended to be predictive of fingerprint matching. …”
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Advancements and Challenges of Vacuum‐Processed Organic Photodiodes: A Comprehensive Review by Chan So, Won Jun Pyo, Dae Sung Chung

“…Organic photodiodes (OPDs) have made remarkable strides and now poised to surpass traditional silicon photodiodes (PDs) in various aspects including linear dynamic range (LDR), detectivity, wavelength selectivity, and versatility.[1] Tunable mechanical and optoelectronic properties of organic semiconductors, coupled with lower process costs, have propelled OPDs into the spotlight across fields such as wearable light fidelity systems, flexible image sensors, and biomedical imaging.[2–5] While most advanced organic imaging systems to date rely on polymer‐based solution processes, challenges such as the use of toxic organic solvents and reproducibility issues hinder their commercialization.[6,7] Vacuum‐processed OPDs offer a promising alternative, boasting eco‐friendliness and compatibility with large‐scale fabrication facilities.[8,9] In this review, recent advancements and challenges in vacuum‐processed OPDs, an area that has received less attention compared to solution‐processed counterparts, are explored. …”
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Artificial intelligence in high-dose-rate brachytherapy treatment planning for cervical cancer: a review by Junyue Shi, Junyue Shi, Jun Chen, Gaokui He, Qinghe Peng

“…Recent advancements in artificial intelligence (AI), particularly in medical image processing, offer significant potential for automating and standardizing treatment planning in HDR-BT. …”
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Leveraging paired mammogram views with deep learning for comprehensive breast cancer detection by Jae Won Seo, Young Jae Kim, Kwang Gi Kim

“…Using VGGnet16, PMVnet achieved a Dice Similarity Coefficient (DSC) of 0.709 in segmentation and a recall of 0.950 at 0.156 false positives per image (FPPI) in detection tasks, outperforming the single-view model, which had a DSC of 0.579 and a recall of 0.813 at 0.188 FPPI. …”
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A Novel Model to Detect and Classify Fresh and Damaged Fruits to Reduce Food Waste Using a Deep Learning Technique by T. Bharath Kumar, Deepak Prashar, Gayatri Vaidya, Vipin Kumar, S. Deva Kumar, F. Sammy

“…Food waste is more likely to occur as a consequence of this, which causes several problems. Input images are used to identify healthy and deteriorated fruits. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

“…Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, augmented reality, among others, and its popularity increased with the development of deep learning approaches. …”
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Effect of binary basicity on chromium occurrence in stainless steel slag by Zeng Q., Li J.-L., Ma G.-J., Zhu H.-Y.

“…Based on the studying the microstructure of synthetic slag (SS) containing Cr2O3 with XRD, SEM-EDS, and Image pro, the effect of binary basicity on the chromium occurrence in SSS was investigated. …”
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Cerebral Arterial Stenosis Detection Based on a Retained Two-Stage Detection Algorithm by Hanqing Liu, Xiaojun Li, Jin Wei, Xiaodong Kang

“…A retrained two-stage algorithm for detecting cerebral arterial stenosis in CTA images is proposed to solve these problems by further fusing image features and improving the quality of regions of interest. …”
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Observation System Optimization of Offshore Acoustic Exploration for Estimating Submarine Geological Structures via Directivity Analysis by Chao Fu, Lei Hao, Pengfei Zhou, Lei Chen, Xiaobin Xu, Kai Wang, Miaojun Sun

“…Then, the numerical simulations based on the finite difference method was applied, and imaging characteristics of observation system with different parameter were studied. …”
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Resistance of Synthetic and Biologic Surgical Meshes to Methicillin-Resistant Staphylococcus aureus Biofilm: An In Vitro Investigation by Ethan Kallick, Laura Nistico, Mark Longwell, Barbara Byers, Frank Cartieri, Rachael Kreft, Howard Edington

“…This research compares biofilm biomass, average thickness, and coverage between the three meshes through florescent in situ hybridization (FISH), confocal scanning microscopy (CSLM), and image analysis. We also report the varying levels of planktonic and attached bacteria through sonication and cfu counts. …”
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ECG-based transfer learning for cardiovascular disease: A scoping review by Sharifah Noor Masidayu Sayed Ismail, Siti Fatimah Abdul Razak, Nor Azlina Ab Aziz

“…Pre-trained models such as ResNet, AlexNet, and VGG, which are trained on ImageNet, are often used with two-dimensional (2D) ECG data as network input, achieving accuracy rates exceeding 90 %. …”
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An intrusion detection model based on Convolutional Kolmogorov-Arnold Networks by Zhen Wang, Anazida Zainal, Maheyzah Md Siraj, Fuad A. Ghaleb, Xue Hao, Shaoyong Han

“…Abstract The application of artificial neural networks (ANNs) can be found in numerous fields, including image and speech recognition, natural language processing, and autonomous vehicles. …”
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Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco by Abdelhak El Kharki, Jamila Mechbouh, Miriam Wahbi, Otmane Yazidi Alaoui, Hakim Boulaassal, Mustapha Maatouk, Omar El Kharki

“…This study aimed to optimize the hyperparameters of the Support Vector Machine (SVM) algorithm using the grid search method to map the distribution of the Argan forest in the Souss-Massa region of Morocco from Sentinel-2 satellite image. To achieve this, we examined the C parameter for the linear function, as well as the C and gamma parameters for the radial RBF and sigmoid functions. …”
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El recurso de información y comunicación visual: imagen. Apuntes en torno a las Ciencias de la Información y Bibliotecología by Marvin David Meza Castro

“…Se menciona la tecnología de recuperación de imágenes basada en contenido Content-Based Image Retrieval (CBIR), y se alude la importancia de la Alfabetización Visual para la Ciencia de la Información y la Bibliotecología. …”
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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models by Kiruthika M, Malathi G

“…The area of the retina where drusen forms were identified by image segmentation, and then these deposits were automatically recognized through pattern recognition techniques.…”
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Tracking Vehicle Cruising in an Open Parking Lot Using Deep Learning and Kalman Filter by Vijay Paidi, Hasan Fleyeh, Johan Håkansson, Roger G. Nyberg

“…The detected vehicles are tracked using Kalman filter and the trajectory of multiple vehicles is calculated on an image. The accuracy of modified Yolo achieved a positive detection rate of 91% while custom Yolo and Yolov3 achieved 83% and 75%, respectively. …”
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Low-Rank Adaptation of Pre-Trained Large Vision Models for Improved Lung Nodule Malignancy Classification by Benjamin P. Veasey, Amir A. Amini

“…Inspired by LoRA&#x0027;s success in the field of Natural Language Processing, we hypothesized that such an adaptation technique can significantly improve classification performance, parameter efficiency, and training speed for the novel application of lung image cancer diagnostic. <italic>Methods:</italic> Utilizing two comprehensive lung nodule datasets, NLSTx and LIDC, which together encompass a diverse array of biopsy- and radiologist-confirmed lung CT scans, our rigorous experimental setup demonstrates that LoRA-adapted models markedly surpass traditional fine-tuning methods. …”
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Modeling the partial equilibrium in the milk and dairy market in Ukraine by S. Kvasha, N. Davydenko, A. Ivanko, Z. Titenko

“…The scientific methods which used in the process of the research: simulation was used for defining trends of supply and demand changing and their balancing in the dairy market; economic and statistical method was used for estimation of tendencies of production and consumption of dairy products in Ukraine; analysis and synthesis were used to find out the reasons that determine the trends of supply and demand changes; tabular and graphical methods were used for clearness of the image of the obtained research results; abstract-logical method was used for the formulation of conclusions. …”
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