Vulnerability detection using BERT based LLM model with transparency obligation practice towards trustworthy AI by Jean Haurogné, Nihala Basheer, Shareeful Islam

“…The result shows higher accuracy of 91.8 % for the vulnerability detection and model explainability outcome is highly influenced by “vulnerable”, “function”, ''mysql_tmpdir_list'', “strmov” tokens using both SHAP and LIME framework. …”
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Diagnostic Ability and Capacity of Optical Coherence Tomography-Angiography to Detect Retinal and Vascular Changes in Patients with Fibromyalgia by Elena Garcia-Martin, Alvaro Tello, Elisa Vilades, Javier Perez-Velilla, Beatriz Cordon, Diego Fernandez-Velasco, Javier Garcia-Campayo, Marta Puebla-Guedea, Maria Satue

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Detection and classification of hypertensive retinopathy based on retinal image analysis using a deep learning approach by Bambang Krismono Triwijoyo, Ahmat Adil, Muhammad Zulfikri

“…These gap factors make the research on hypertensive retinopathy urgent since it requires an early detection model to improve treatment accuracy and prevent heart attacks and strokes before they happen. …”
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SOFTWARE COMPONENT DEVELOPMENT FOR PARALLEL GATEWAYS DETECTION AND QUALITY ASSESSMENT IN BPMN MODELS USING FUZZY LOGIC by Andrii Kopp, Ľuboš Cibák, Dmytro Orlovskyi, Dmytro Kudii

“…This features are evaluated using “soft” modeling rules based on fuzzy membership functions. Additionally, an activation function with the 0.5 threshold is used to generate binary quality indicators and calculate an integral quality assessment measure. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Surveillance for undiagnosed psoriatic arthritis generally detects mild cases as measured by physical function. …”
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Understanding Impedance Response Characteristics of a Piezoelectric-Based Smart Interface Subjected to Functional Degradations by Ba-Phu Nguyen, Quang Hung Tran, Thanh-Truong Nguyen, Ananta Man Singh Pradhan, Thanh-Canh Huynh

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Enhanced Bioactivity and Anti-microbial Properties of Lactobacillus plantarum Fermented Purple Onion (Allium cepa L.) Extracts Against Selected Poultry Microbes by Phan Vu Hai, Ho Dung, Tran Nguyen Thao, Nguyen Xuan Hoa, Pham Hoang Son Hung

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Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis by Hongwu Chen, Fan Feng, Pengwei Lou, Ying Li, MingLi Zhang, Feng Zhao

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How mindfulness-based training improves stress-related health: a selective review of randomized clinical trials comparing psychological mechanisms of action by Lara M. C. Puhlmann, Lara M. C. Puhlmann, Lara M. C. Puhlmann, Veronika Engert, Veronika Engert, Veronika Engert

“…We examine two comparative frameworks, the prominent Monitor and Acceptance Theory (MAT) and the ReSource training program, an intervention protocol designed to disentangle mindfulness components in a large-scale mental training project. …”
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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…Abstract Accurate estimation of wind power potential is important for resource assessment to install wind turbine. Weibull distribution functions (WDF) have been widely used and it is a function of wind speed (WS). …”
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An investigation of the distribution of gaze estimation errors in head mounted gaze trackers using polynomial functions by Diako Mardanbegi, Andrew T. N. Kurauchi, Carlos H. Morimoto

“…In this paper we investigate the behavior of the gaze estimation error distribution throughout the image of the scene camera when using polynomial functions. Using simulated scenarios, we describe effects of four different sources of error: interpolation, extrapolation, parallax, and radial distortion. …”
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Density‐dependent responses of moose to hunting and landscape change by Mateen Hessami, Robert Serrouya, Clayton T. Lamb, Melanie Dickie, Adam T. Ford

“…The latter data series spanned 1961–2020 and informed the resource selection function and calculations for our first research objective as well as the predictive modelling for our second research objective. …”
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Shelf-Life Evaluation of a Novel Functional Product from a Blend of Powdered Vegetables by Aisha Idris Ali, Virginia Paul, Munir Abba Dandago, Fatima Idris Ali, Daniel Amiteye

“… Perishable fresh vegetables that do not meet cosmetic standards and other crop waste rich resources are presently wasted. Mangifera indica leaves, Psidium guajava leaves, Petroselinum crispum leaves and Daucus carota were selected as model vegetables to show that they can be converted into a shelf-stable novel functional powdered product. …”
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Effects of Nitrogen Addition on Leaf Functional Traits of Dominant Species in Bayanbulak Grassland, Xinjiang, China by Xiaoyu Ding, Junjie Liu, Yao Wang, Juan Wang, Chao Liu, Mengtian Qin, Yujiao Xu, Yonggang Ma, Jianjun Yang, Zhonglin Xu

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The role of the personnel practitioner in the identification and handling of communication problems in organisations by L.D. Coetsee

“…The complex organisation in which the practitioner has to fulfil these roles, consists of differentiated but interdependent sub-systems linked by resource and information flows. Information can be described as the bloodstream of an organisation and communication channels as the arterial system. …”
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Arlclustering: an R package for community detection in social networks based on user interaction and association rule learning by Mohamed El-Moussaoui, Mohamed Hanine, Ali Kartit, Tarik Agouti

“…Abstract ARLClustering is an open-source R package for community detection in social networks. …”
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GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
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Implementation of Efficient Artificial Neural Network Data Fusion Classification Technique for Induction Motor Fault Detection by Altaf S., Mehmood M. S., Imran M.

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Pequi-Derived Carbon Dots as a Fluorescence Quenching Sensor for Sensitive Detection of Fe3+ Ions by B. P. Oliveira, I. M. Sampaio, J. J. P. Oliveira, S. V. Carneiro, R. A. Antunes, P. B. A. Fechine, F. O. M. S. Abreu

“…Pequi-based carbon dots (PQ-CDs) exhibited an estimated height of around 8 nm, with hydroxyl, carbonyl, and amino functional groups confirmed by FTIR, bright blue emission, and a quantum yield of 17.9%. …”
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Portable immuno nano biosensor for multiple disease detection using 3D printed SPR technologies by Aparanji Poosarla, Jagannadha Rao Mokka, Kolla Venkata Atchuta Rao, Mano Pardhavi Dasari

“…The sensor showed the highest sensitivity at 50X concentration of antigen and least at 10x concentration stating maximum and minimum values for a limit of detection. This device using this principle could has wide functionalities to detect multiple biological samples by changing the antibodies to our respective analyte over the reaction chip for multiple times with low cost.…”
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