Material Sensing with Spatial and Spectral Resolution Based on an Integrated Near-Infrared Spectral Sensor and a CMOS Camera by Ben Delaney, Sjors Buntinx, Don M. J. van Elst, Anne van Klinken, René P. J. van Veldhoven, Andrea Fiore

“…The system demonstrated the capability to classify visually identical plastics of different types in a standoff measurement configuration and to produce spectral measurements at up to 100 points in a scene.…”
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Pituitary Neuroendocrine Tumors (PitNETs) – a literature review by Jakub Skiba, Zuzanna Skiba, Kinga Tylczyńska, Natalia Tylczyńska, Kinga Kowalik, Maria Michalska, Aleksandra Zielińska, Szymon Szypulski, Sebastian Iwaniuk, Ignacy Maciejewski

“…EETS achieves high rates of gross total resection and low recurrence. For patients with persistent or recurrent disease, reoperation, medical therapy, or radiotherapy may be required. …”
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Near-infrared-detectable artificial synapses for advanced neuromorphic vision applications by Minjun Choi, Gwoncheol Choi, Seungbeom Lee, Tae-Woo Lee, Hea-Lim Park

“…NIR wavelengths provide critical information that visible light cannot offer owing to its high permeability and low scattering properties. This capability is particularly valuable for night vision, biomedical imaging, and autonomous sensing applications. …”
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Optogenetic restoration of high-sensitivity vision using ChRmine- and ChroME-based channelrhodopsins by Victoria C. Fong, Beatrice M. Le, Antonia Stefanov, Vivian Lee, Seohyun Park, Adithya Sivakumar, Sabrina Spatny, Meike Visel, W. Rowland Taylor, Stephen G. Brohawn, John G. Flannery

“…Still, low sensitivity or slow kinetics of currently utilized optogenetic proteins limit the efficacy of such approaches. …”
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An AI-Based Digital Scanner for <i>Varroa destructor</i> Detection in Beekeeping by Daniela Scutaru, Simone Bergonzoli, Corrado Costa, Simona Violino, Cecilia Costa, Sergio Albertazzi, Vittorio Capano, Marko M. Kostić, Antonio Scarfone

“…Detecting the parasite and defining the intervention thresholds for effective treatment is a difficult and time-consuming task; different detection methods exist, but they are mainly based on human eye observations, resulting in low accuracy. This study introduces a digital portable scanner coupled with an AI algorithm (BeeVS) used to detect Varroa mites. …”
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Should We Fear Wipe-Out in Glaucoma Surgery? by Marco Zeppieri, Ludovica Cannizzaro, Giuseppe Gagliano, Francesco Cappellani, Lorenzo Rapisarda, Alfonso Spinello, Antonio Longo, Andrea Russo, Alessandro Avitabile

“…Wipe-out is defined as a sudden, unexplained, and irreversible loss of residual central vision following glaucoma surgery, typically in eyes with advanced visual field damage and severely compromised optic nerves. …”
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Instillation Anesthesia in Refractive Surgery in Children by A. G. Shchuko, L. C. Khlebnikova, I. G. Oleshenko, T. N. Iureva, O. V. Pisarevskaya, T. N. Frolova

“…The degree of anisometropy was from 3.25 to 5.21 (average — 4.27 ± 0.53 D). Uncorrected visual acuity averaged 0.21 ± 0.07, corrected one — 0.41 ± 0.1. …”
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Adaptive Optimization and Dynamic Representation Method for Asynchronous Data Based on Regional Correlation Degree by Sichao Tang, Yuchen Zhao, Hengyi Lv, Ming Sun, Yang Feng, Zeshu Zhang

“…Event cameras, as bio-inspired visual sensors, offer significant advantages in their high dynamic range and high temporal resolution for visual tasks. …”
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Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders by Muhammad Sajid, Kaleem Razzaq Malik, Ateeq Ur Rehman, Tauqeer Safdar Malik, Masoud Alajmi, Ali Haider Khan, Amir Haider, Seada Hussen

“…On the other hand, the low availability of 3D datasets significantly impedes learning high-quality 3D features because of the high data processing cost. …”
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Development of a Copro-RPA-CRISPR/Cas12a assay to detect Echinococcus granulosus nucleic acids isolated from canine feces using NaOH-based DNA extraction method. by Guoqing Shao, Xiaowei Zhu, Ruiqi Hua, Yanxin Chen, Guangyou Yang

“…Moreover, these assays hold potential for surveilling E. granulosus in low-income countries.…”
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Optimizing the user-experience (UX) and −interface (UI) of a mHealth application to aid recovery from burn injury (BurnCORE) through a user-centered design approach by Barclay T. Stewart, Kyler Menge, T.Varugis Kurien, Caitlin Orton, Rebecca Estrada, Gretchen Carrougher, Callie Thompson, Gary Hsieh, Tam N. Pham

“…Stakeholders recommended several major application features: understanding the initial burn experience, visualizing recovery, and habituation of daily/weekly tasks. …”
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Pengembangan Animasi Keterampilan Berbicara Bahasa Inggris dengan Multimedia Development Life Cycle Godfrey by Nisa'ul Hafidhoh, Liya Umaroh, Sugiyanto Sugiyanto

“…However, English proficiency of Indonesian is relatively low at 51.58 below the Philippines (61.84) and Malaysia (59.32). …”
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Accessibility of medical information leaflets for patients in emergency care settings in Japan by Moe Sekine, Aya Goto, Tsuyoshi Suzuki, Makoto Onodera, Yurie Kobashi, Ken Iseki

“…Discussion: This study evaluates the accessibility of and highlights issues with written health information provided for patients in emergency care settings. Our study revealed low accessibility among leaflets used in emergency settings at a Japanese university hospital. …”
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Identification of Risk Group for Root Caries and Analysis of Associated Factors in Older Adults Using Unsupervised Machine Learning Clustering by Jiang L, Huang S, Reissmann DR, Schmalz G, Li J

“…Binary logistic regression models further analyzed the associated factors, while ROC (receiver operating characteristic) curves and the random forest model visualized the predictive performance and the most important associated factors.Results: Two clusters were identified: cluster 1, with low root caries risk (21.5% with and 78.5% without root caries), and cluster 2, with high root caries risk (83.7% with and 16.3% without root caries). …”
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Amazonian manatee critical habitat revealed by artificial intelligence‐based passive acoustic techniques by Florence Erbs, Mike van derSchaar, Miriam Marmontel, Marina Gaona, Emiliano Ramalho, Michel André

“…Abstract For many species at risk, monitoring challenges related to low visual detectability and elusive behavior limit the use of traditional visual surveys to collect critical information, hindering the development of sound conservation strategies. …”
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Project-based learning (PjBL) strategies with gamification by Putri Fadilla Azzahra Fazarini, Yerry Soepriyanto, Henry Praherdhiono

“…This research aims to develop and test the effectiveness of the Project-Based Learning (PjBL) learning model integrated with gamification (G-PJBL) to increase student engagement and learning outcomes in Graphic and Visual Media courses. The background to this research is the low graduation rate of students in this course due to the diverse backgrounds and abilities of students. …”
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The faecal egg count reduction test: Will identification of larvae to species improve its utility? by Dave Leathwick, Peter Green, Charlotte Bouchet, Alex Chambers, Tania Waghorn, Christian Sauermann

“…In the faecal egg count reduction test, visual identification of larvae cultured from faeces enables the egg counts to be apportioned to species/genera, resulting in a more accurate test. …”
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Comparison of Physicochemical Attributes of Einkorn Wheat (Triticum monococcum) and Durum Wheat (Triticum durum) and Evaluation of Morphological Properties Using Scanning Electron... by Müge Hendek Ertop, Rabia Atasoy

“…Moreover, it was determined that visually the caryopsis layers of Einkorn were thinner than ones of the durum wheat. …”
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Defining Seropositivity Thresholds for Use in Trachoma Elimination Studies. by Stephanie J Migchelsen, Diana L Martin, Khamphoua Southisombath, Patrick Turyaguma, Anne Heggen, Peter Paul Rubangakene, Hassan Joof, Pateh Makalo, Gretchen Cooley, Sarah Gwyn, Anthony W Solomon, Martin J Holland, Paul Courtright, Rebecca Willis, Neal D E Alexander, David C W Mabey, Chrissy H Roberts

“…Anti-Pgp3 antibodies were detected by ELISA. A number of visual and statistical analytical approaches for defining serological status were compared.…”
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SwinConvNeXt: a fused deep learning architecture for Real-time garbage image classification by B. Madhavi, Mohan Mahanty, Chia-Chen Lin, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Neha Agarwal

“…Due to its lightweight and low computational time and power, the proposed model surpasses the existing state-of-the-art deep learning models.…”
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