Artificial intelligence Defect Detection Robustness inReal-time Non-Destructive Testing of Metal Surfaces by Chaoyu Dong, Jovian Sanjaya Putra, Andrew A. Malcolm

“… Artificial intelligence (AI) is revolutionizing defect detection by employing advanced computational techniques to enhance accuracy and efficiency. Through machine learning methods and deep neural networks, it is possible for AI systems to learn from diverse datasets and accurately identify defects across various applications. …”
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Genome-wide association study of blood vitamin D metabolites and bone remodelling markers in pigs by Dipanwita Paul, Michael Oster, Siriluck Ponsuksili, Klaus Wimmers, Henry Reyer

“…Hence, mineral utilization efficiency might be indirectly improved which remains to be empirically demonstrated through further research.…”
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A multi-objective robust possibilistic programming approach to designing sustainable and reliable closed-loop supply chain network (case study: aluminum industry) by Sajad Amirian, Maghsoud Amiri, Mohammad Taghi Taghavifard

“…The mathematical model developed in this research is of mixed integer linear programming type, which is implemented in GAMS software to solve it and find Pareto optimal solutions.Findings: The accuracy of the overall performance of the proposed model has been evaluated with four examples (based on the coefficients of the objective functions) from a case study in the aluminium industry. …”
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Assessing the Accuracy and Reliability of the Monitored Augmented Rehabilitation System for Measuring Shoulder and Elbow Range of Motion by Samuel T. Lauman, Lindsey J. Patton, Pauline Chen, Shreya Ravi, Stephen J. Kimatian, Sarah E. Rebstock

“…Accurate range of motion (ROM) assessment is essential for evaluating musculoskeletal function and guiding rehabilitation, particularly in pediatric populations. …”
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Feasibility, reliability and validity of smartphone administered cognitive ecological momentary assessments in breast cancer survivors by Ashley M. Henneghan, Ashley M. Henneghan, Emily W. Paolillo, Kathleen M. Van Dyk, Kathleen M. Van Dyk, Oscar Y. Franco-Rocha, Mansi Patel, So Hyeon Bang, Raeanne C. Moore

“…Test–retest reliability was examined using intraclass correlation coefficients for each cognitive EMA (tests and self-report questions), and Pearson's correlation was used to evaluate convergent validity between cognitive EMAs and baseline clinical cognitive variables.Results105 breast cancer survivors completed the EMA protocol with high adherence (87.3%) and high satisfaction (mean 87%). …”
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Stability analysis of grid-connected hydropower plant considering turbine nonlinearity and parameter-varying penstock model by Chen Feng, Na sun, Chuang Zheng, Yongqi Zhu, Nan Zhang, Yahui Shan, Liping Shi, Xiaoming Xue

“…The nonlinear state space equations of GCHTGS with PVM and variable transfer coefficients are established. First, the influence of different penstock models on stability is investigated, and the comparison results show that the proposed PVM has a more precise stability region. …”
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Explaining the COVID19 mortality growth rate: an empirical analysis of Israeli cities by Yuval Arbel, Yifat Arbel, Amichai Kerner, Miryam Kerner, Miryam Kerner

“…These include population size, median age, a socio-economic ranking at a city level, a date variable and a dummy variable that equals 1 for post-vaccination and 0 for pre-vaccination era.MethodRegression analysis, where each variable is converted to the standard normal distribution function. …”
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Reliability of radiomic analysis on multiparametric MRI for patients affected by autosomal dominant polycystic kidney disease by Francesca Lussana, Ettore Lanzarone, Giulia Villa, Alfonso Mastropietro, Anna Caroli, Elisa Scalco

“…The impact of segmentation variability on radiomic reproducibility was assessed through Intraclass Correlation Coefficients (ICC), and a preliminary correlation analysis with relevant clinical parameters, such as age and eGFR, was also performed. …”
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Drying kinetics and thermodynamic analysis; enhancing quinoa (Chenopodium quinoa Willd.) quality profile via pre-treatments assisted germination and processing by Jabir Khan, Palwasha Gul, Qingyun Li, Kunlun Liu

“…Principal Component Analysis revealed significant correlations between analyses, explaining 80.37 % variability. The intensity of functional groups decreased in the infrared spectra, although the transmission of signals was greater in pretreated samples than in control. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Future capsules will feature AI-driven lesion detection and therapeutic functions, higher-resolution imaging, wider fields of view, controllable movement bringing the concept of "swallowing the gastroenterologist" closer to reality. …”
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Analysis of Factors Influencing the Development of Community-Based Tourism in Rural Areas, Case Study: Villages Targeted by Tourism in the Markazi Province by Hamid Afshari, Behrouz Mohammadi Yeganeh, Hossein Farahani, Mehdi Cheraghi

“…Thus, the aim of the present research is to find the variables affecting community-based tourism in the target villages of Markazi Province. …”
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Age-Related Changes in Corneal Deformation Dynamics Utilizing Scheimpflug Imaging. by Marta E Rogowska, D Robert Iskander

“…Raw Scheimpflug images were used to extract changes in anterior and posterior corneal profiles, which were further modelled by an orthogonal series of Chebyshev polynomial functions. Time series of the polynomial coefficients of even order exhibited a dynamic behavior in which three distinct stages were recognized. …”
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The accuracy of a simple, low-cost GPS data logger/receiver to study outdoor human walking in view of health and clinical studies. by Bénédicte Noury-Desvaux, Pierre Abraham, Guillaume Mahé, Thomas Sauvaget, Georges Leftheriotis, Alexis Le Faucheur

“…<h4>Introduction</h4>Accurate and objective measurements of physical activity and lower-extremity function are important in health and disease monitoring, particularly given the current epidemic of chronic diseases and their related functional impairment.…”
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Natural Diversity of <i>Crataegus monogyna</i> Jacq. in Northeastern Türkiye Encompassing Morphological, Biochemical, and Molecular Features by Bora Erkek, Mehmet Yaman, Ahmet Sümbül, Serap Demirel, Fatih Demirel, Ömer Faruk Coşkun, Ahmet Say, Barış Eren, Adnan Aydin, Ayten Eroglu

“…The Jaccard similarity coefficient ranged from 0.04 (M9 and M16) to 0.63 (M17 and M3), indicating substantial genetic variability. …”
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Long-term conservation tillage breaks the plough pan and promotes the development of preferential flow by Jinze Han, Jianye Li, Qiang Chen, Xingyi Zhang

“…Macropores and preferential flow critically regulate soil hydrological functions and ecosystem services in agricultural systems. …”
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Prediction of 5-year survival in patients with heart failure and implanted cardiac resynchronization therapy devices by A. M. Soldatova, V. A. Kuznetsov, E. A. Gorbatenko, T. N. Enina, L. M. Malishevsky

“…All variables were scored based on the в-coefficients. …”
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Research and Design of an Active Light Source System for UAVs Based on Light Intensity Matching Model by Rui Ming, Tao Wu, Zhiyan Zhou, Haibo Luo, Shahbaz Gul Hassan

“…Extensive qualitative and quantitative experiments confirm that the UAV active light source system based on light intensity matching proposed in this paper effectively enhances the effectiveness and robustness of vision-based tracking for multi-UAVs, particularly in complex and variable environments. This research provides an efficient and computationally effective solution for vision-based multi-UAV systems, further enhancing the visual tracking capabilities of multi-UAVs under complex conditions.…”
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AER-Net: Attention-Enhanced Residual Refinement Network for Nuclei Segmentation and Classification in Histology Images by Ruifen Cao, Qingbin Meng, Dayu Tan, Pijing Wei, Yun Ding, Chunhou Zheng

“…Moreover, the coarse predictions and refined predictions are combined by using a loss function that employs cross-entropy loss and generalized dice loss to efficiently tackle the challenge of class imbalance among nuclei in histology images. …”
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Speciation and mobilization of ultra-trace Hg(II) in groundwater by Kunfu PI, Yanxin WANG, Juewen LIU, Ya’nan YANG, Van Cappellen PHILIPPE

“…Applying tests to hydrogeochemically diverse groundwaters from the Grand River Watershed, Canada, the results indicate that the DNA-functionalized hydrogel is able to quickly detect dissolved Hg(II) but inapplicable to low Hg(II) concentrations (<1.60 μg/L), whereas the DNA-DGT sensor can capture variably ultra-trace Hg(II) species depending on the deployment time. …”
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FORMAL REPRESENTATION OF THE PIXEL-BY-PIXEL CLASSIFICATION PROCESS USING A MODIFIED WANG-MENDEL NEURAL NETWORK by Oleksii Kolomiitsev, Volodymyr Pustovarov

“…The purpose of the work is to develop the architecture of the modified fuzzy neural production network of Wang-Mendel as a classifier for image segmentation to increase the values of efficiency and reliability of urban monitoring. The following tasks are solved in the article: analysis of possibilities of Wang-Mendel network modification based on representation of membership functions in terms of interval fuzzy sets of the second type (IFST2) and realization of phasing, aggregation and activation operations using IFST 2 operations, development of the architecture of the modified fuzzy neural production network of Wang-Mendel as a classifier for image segmentation. …”
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