Excel Spreadsheets
The ocular diseases rising from vascular endothelial growth factors (VEGF) is rising on an alarming rate. Mostly the complex retinal disorders are resulted from overexpression of VEGF. Common ocular complications such as age related macular edema (AMD) (over 196 million), diabetic retinopathy (DR) (over 103.12 million) and retinal vein occlusion can result to permanent vision loss if not treated early. Early treatment of such complications is inhibiting the VEGF signaling cascade via anti-VEGF therapy.
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This dataset includes electronics repair guides from MyFixitDataset. From the MyFixit dataset, 50 repair manuals were randomly selected from each of the Mac, PC, Phone, and Electronics categories. These 200 repair manuals with 4754 distinct steps were to be selected and loaded into the Assembly Guidance Ontology. Each step was evaluated by the authors, and suitable parameters were assigned for the Digital Assembly Guidance System.
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In this paper a novel technique for modelling a radio frequency (RF) environment based on hypergraph theory is investigated for solving coexistence management of heterogeneous networks and efficient channel allocation for spectrum sharing. Conventionally, traditional graph theory is used to model interference relationships and exclusive channel allocation. The demand for wireless services is increasing, hence the need for efficient spectrum management techniques, such as spectrum sharing among coexistent networks.
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Thermocouples are widely used in industrial applications due to their robustness, low cost, reliability and ability to survive in harsh environments. However, these thermocouples are prone to failure in a highly acidic medium such as nuclear fuel reprocessing plants. This paper investigates the degradation phenomenon and its effect on measurement accuracy when a thermocouple with mechanical damage to the protective sheath is placed in a corrosive media.
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The data included here within is the associated model training results from the correlated paper "Distribution-Driven Augmentation of Real-World Datasets for Improved Cancer Diagnostics With Machine Learning". This paper focuses on using kernel density estimators to curate datasets by balancing classes and filling missing null values though synthetically generated data. Additionally, this manuscript proposes a technique for joining distinct datasets to train a model with necessary features from multiple different datasets as a type of transfer-learning.
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This dataset provides the data collected in the scope of a Systematic Literature Review (SLR) study that focuses on systematically gather and analyse the existing literature on SOTIF published during 2018-2023. By performing a SLR on SOTIF, we have determine the factors associated with the successful implementation of SOTIF measures, the challenges arise when ensuring SOTIF for ADSs, and research gaps from the SLR of existing literature on SOTIF. The dataset can be useful for the researchers and practitioners.
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The storage capacity of 3D-NAND flash memory has been enhanced by the multi-layer dielectrics. The deposition process has become more challenging due to the tight process margin and the demand for accurate process control. To reduce product costs and ensure successful processes, process diagnosis techniques incorporating artificial intelligence (AI) have been adopted in semiconductor manufacturing. Recently there is a growing interest in process diagnosis, and numerous studies have been conducted in this field.
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The acquisition of database knowledge is an essential component for those pursuing software engineering, computer science, or engaging in the IT field. Our research involved an in-depth analysis of a remote educational escape room designed specifically for teaching databases in various higher education courses over two consecutive academic years.
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The dataset used in this study was derived from data collected from two courses offered on the University of Jordan's E-learning Portal during the second semester of 2020, namely "Computer Skills for Humanities Students" (CSHS) and "Computer Skills for Medical Students" (CSMS). Over the sixteen-week duration of each course, students participated in various activities such as reading materials, video lectures, assignments, and quizzes. To preserve student privacy, the log activity of each student was anonymized.
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