Intensity-modulated Radiation Therapy in the Management of Diffuse Choroidal Hemangioma in Sturge-Weber Syndrome by Saeed Karimi, Sadra Ashrafi, Zahra Siavashpour, Mona Malekzadeh Moghani

“… Purpose: This study aimed to report the efficiency and safety of using intensity-modulated radiation therapy (IMRT) in treating diffuse choroidal hemangioma (DCH) in patients with Sturge- Weber syndrome (SWS). Methods: IMRT planning was carried out for each case after patient fixation, CT simulation, and target delineation. …”
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Despeckle Filtering for Multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) Texture Analysis of Ultrasound Images of the Intima-Media Complex by C. P. Loizou, V. Murray, M. S. Pattichis, M. Pantziaris, A. N. Nicolaides, C. S. Pattichis

“…In this study, we perform a comparative evaluation of several despeckle filtering methods, on 100 ultrasound images of the CCA, based on the extracted multiscale Amplitude-Modulation Frequency-Modulation (AM-FM) texture features and visual image quality assessment by two clinical experts. …”
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Inverse power XLindley distribution with statistical inference and applications to engineering data by Amal S. Hassan, Najwan Alsadat, Christophe Chesneau, Mohammed Elgarhy, Mohamed Kayid, Suleman Nasiru, Ahmed M. Gemeay

“…In particular, the parameters are determined using twelve efficient estimation methods. These methods are maximum likelihood, Anderson-Darling, right-tailed Anderson-Darling, left-tailed Anderson-Darling, Cramér-von Mises, least squares, weighted least squares, maximum product of spacing, minimum spacing absolute distance, minimum spacing absolute-log distance, percentiles, and Kolmogorov. …”
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Methanol-induced bilateral optic neuropathy by Joseph M. Ranche, MD, Raul D. Cruz, MD, Froilan P. Inocencio, MD

“…Objective: To emphasize the importance of diagnosing cases of methanol toxicity, demonstrate the value of electrophysiologic testing as an adjunct in the diagnosis, and provide a framework for intervention. Methods: This is a case report. Results: The patient’s visual-evoked-response tracing showed failure of transmission while electroretinogram waveforms were normal. …”
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Why Teach Alternative Dispute Resolution to Law Students? Part One: Past and Current Practices and Some Unanswered Questions by Judy Gutman, Tom Fisher, Erika Martens

“…The article describes some student-centred activities that are informed by visual pedagogy. Approaching the teaching of criminal law from the visual pedagogy perspective helps students develop media literacy, which enables a level of interactivity and critical thinking not achieved with traditional teaching methods.…”
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Projective MDS Codes Over GF(27)‎ by Emad Bakr Abdulkareem Al-Zangana

“…In this paper, elementary methods for modifying a PG-MDS code of dimensions 2, 3, as extending and lengthening, in order to find new incomplete PG-MDS codes have been used over . …”
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Congenital cataract. Report 2. Current strategies of congenital cataract management in children: a review by N. Ya. Senchenko, K. A. Nagaeva, E. K. Ayuyeva1, T. N. Iureva

“…Current techniques of aphakia correction, their advantages and disadvantages as well as pleoptic methods of visual system stimulation are discussed…”
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FireCLIP: Enhancing Forest Fire Detection with Multimodal Prompt Tuning and Vision-Language Understanding by Shanjunxia Wu, Yuming Qiao, Sen He, Jiahao Zhou, Zhi Wang, Xin Li, Fei Wang

“…Additionally, our method incorporates a prompt tuning strategy which helps to improve performance by at least 12.45% in zero-shot learning tasks and also enhances performance in few-shot learning tasks, demonstrating enhanced regional generalization compared to baselines.…”
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Pixel Interaction Model for Contrast Enhancement: Bridging Social Science and Image Processing by Beatriz A. Rivera-Aguilar, Erik Cuevas, Alberto Luque-Chang, Jesús López, Marco Pérez-Cisneros

“…This process increases the contrast in regions with significant differences and reduces variation in uniform regions, hence enhancing clarity in the visual information and details of the image. The effectiveness and high performance of the proposed method are evaluated by a variety of experiments conducted on different image datasets using different quality indexes. …”
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Optimal Control Approach of Discrete Mathematical Modeling of the Spread of Gaming Disorder in Morocco and Cost-Effectiveness Analysis by Driss Kada, Bouchaib Khajji, Omar Balatif, Mostafa Rachik, El Houssine Labriji

“…To characterize optimal controls, we use Pontryagin’s maximum principle and the system of optimality solved by an iterative method. Finally, numerical simulations are presented with and without controls. …”
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Quantification of neuroinflammation in spinal cord and neuroforamina of patients with painful cervical radiculopathy using [11C]DPA713 PET/CT by Ivo J. Lutke Schipholt, Ivo J. Lutke Schipholt, Gwendolyne G. M. Scholten-Peeters, Meghan A. Koop, Michel W. Coppieters, Michel W. Coppieters, Ronald Boellaard, Elsmarieke van de Giessen, Elsmarieke van de Giessen, Bastiaan C. ter Meulen, Bastiaan C. ter Meulen, Marieke Coenen, Carmen Vleggeert-Lankamp, Paul R. Depaauw, Bart N. M. van Berckel, Adriaan A. Lammerstma, Adriaan A. Lammerstma, Maqsood Yaqub

“…The objectives of this study were to: (1) assess which tracer kinetic model most optimally quantified [11C]DPA713 uptake in the spinal cord and neuroforamina in patients with painful cervical radiculopathy, (2) evaluate the performance of linearized methods (e.g., Logan) and simplified (e.g., standardized uptake value - SUV) methods, and (3) assess the test-retest reliability of these methods. …”
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VG-CGARN: Video Generation Using Convolutional Generative Adversarial and Recurrent Networks by Fatemeh Sobhani Manesh, Amin Nazari, Muharram Mansoorizadeh, MirHossein Dezfoulian

“…CNNs extract spatial features, LSTMs model temporal dynamics, and GANs enhance visual realism through adversarial training. Experimental results on the KTH dataset, comprising 600 videos of fundamental human actions, demonstrate that the proposed method achieves substantial improvements over baseline models, reaching a peak PSNR of 35.8 and SSIM of 0.96—representing a 20% performance gain. …”
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In silico test of brotowali (Tinospora crispa) as potential anticancer agent targeting mTOR on colorectal cancer by Hanik Isnaini, Adinda Amalia Agustin RJ, Washeilatus Sholehah, Nida Sudarlina, Safina Oktafia, Luluk Ayu Khodariyah, Siwi Putri Mumpuni

“…This study aims to analyze the potential of colorectal anticancer targeted by active compounds of alkaloid derivatives in T.crispa against mTOR. The method used is to explore active compounds through the KnapSack web and 3D protein structures on NCBI, docking validation using PyMol, tethering compounds N-acetylnornuciferine, N-formylanonaine, N-trans-coumaroyltyramine, and Tyramine to the target ligand using Pyrx and then visualized using BIOVIA Discovery Studio Visualizer. …”
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SymSwin: Multi-Scale-Aware Super-Resolution of Remote Sensing Images Based on Swin Transformers by Dian Jiao, Nan Su, Yiming Yan, Ying Liang, Shou Feng, Chunhui Zhao, Guangjun He

“…Extensive experiments demonstrate that our method achieves superior performance in both quantitative metrics and visual quality compared with existing algorithms.…”
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Sensor-Based Assessment of Mental Fatigue Effects on Postural Stability and Multi-Sensory Integration by Yao Sun, Yingjie Sun, Jia Zhang, Feng Ran

“…Objective: Mental fatigue (MF) induced by prolonged cognitive tasks poses significant risks to postural stability, yet its effects on multi-sensory integration remain poorly understood. Method: This study investigated how MF alters sensory reweighting and postural control in 27 healthy young males. …”
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FACTORS RELATED TO COMPUTER VISION SYNDROME (CVS) COMPLAINTS IN PROGRAMMERS DURING THE COVID-19 PANDEMIC by Marvita, Noeroel Widajati, Shafira Nurul Ramadhani, Vitria Wuri Handayani

“…Purpose: To analyze factors related to CVS complaints among programmers at an IT consulting company in Jakarta. Method: A cross-sectional quantitative descriptive research involving 60 participants was conducted. …”
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Real-Time Identification of Look-Alike Medical Vials Using Mixed Reality-Enabled Deep Learning by Bahar Uddin Mahmud, Guanyue Hong, Virinchi Ravindrakumar Lalwani, Nicholas Brown, Zachary D. Asher

“…The accurate identification of look-alike medical vials is essential for patient safety, particularly when similar vials contain different substances, volumes, or concentrations. Traditional methods, such as manual selection or barcode-based identification, are prone to human error or face reliability issues under varying lighting conditions. …”
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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images by Xinghua Li, Linglin Xie, Caifeng Wang, Jianhao Miao, Huanfeng Shen, Liangpei Zhang

“…Compared with 11 state-of-the-art methods, BEDSN exhibits higher-level performance in both quantitative and visual assessments with low model complexity. …”
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Multi-Channel Fusion Decision-Making Online Detection Network for Surface Defects in Automotive Pipelines Based on Transfer Learning VGG16 Network by Jian Song, Yingzhong Tian, Xiang Wan

“…Although approaches for the online surface detection of automotive pipelines exist, low defect area rates, small-sample and long-tailed data, and the difficulty of detection due to the variable morphology of defects are three major problems faced when using such methods. In order to solve these problems, this study combines traditional visual detection methods and deep neural network technology to propose a transfer learning multi-channel fusion decision network without significantly increasing the number of network layers or the structural complexity. …”
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TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images by Shengya Zhao, Xiufen Ye, Xinkui Mei, Shuxiang Guo, Haibin Qi

“…Hence, various factors need to be comprehensively considered when processing underwater optical images that are severely degraded under complex lighting conditions. Most existing methods resolve one issue at a time, making it challenging for these isolated techniques to maintain consistency when addressing multiple degradation factors simultaneously, often leading to unsatisfactory visual outcomes. …”
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