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Статті в журналах з теми "OPTIMIZED TEST CASES"

Автор: Grafiati

Опубліковано: 11 вересня 2023

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1

Singh, Rajvir, Anita Singhrova, and Rajesh Bhatia. "Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software." International Journal of Open Source Software and Processes 9, no. 3 (2018): 15–35. http://dx.doi.org/10.4018/ijossp.2018070102.

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Анотація:

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO

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2

Domínguez-Muñoz, J. Enrique, and Peter Malfertheiner. "Optimized serum pancreolauryl test for differentiating patients with and without chronic pancreatitis." Clinical Chemistry 44, no. 4 (1998): 869–75. http://dx.doi.org/10.1093/clinchem/44.4.869.

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Abstract The serum pancreolauryl test has limited sensitivity for detecting mild pancreatic insufficiency. The aim of this study was to optimize the serum pancreolauryl test so as to increase the probability of positive results in patients with chronic pancreatitis. The study had three parts. First, the sampling time was optimized by analyzing retrospectively the frequency of fluorescein peaks at different times from 0 to 240 min in 560 consecutive patients. Second, the calculation of serum fluorescein concentrations by means of a standard calibration factor was prospectively compared in 271 c

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3

P Mahapatra, R., Aparna Ranjith, and A. Kulothungan. "Framework for Optimizing Test Cases in Regression Testing." International Journal of Engineering & Technology 7, no. 3.12 (2018): 444. http://dx.doi.org/10.14419/ijet.v7i3.12.16126.

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Software once developed is subject to continuous changes. Software Regression Testing thus can be used to reduce the efforts of testing the software by selecting only the required number of test cases and ordering them to test the software after changes have been made to it. In order to improve the fault detection rate, the selection of efficient test cases and order of execution of these tests is important. Here is when the test case selection comes into picture where in, the fault detection rate during the working of any software has to be improved. The test case selection process will find

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4

Nelasov, N. J., R. V. Sidorov, M. N. Morgunov, et al. "Echocardiographic Stress Test with Adenosine Triphosphate: Optimization of the Algorithm." Kardiologiia 59, no. 11 (2019): 39–47. http://dx.doi.org/10.18087/cardio.2019.11.2665.

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Purpose. To: 1) optimize algorithm of stress echocardiography (s-Echo) with intravenous adenosine triphosphate (ATP) infusion taking into account pharmacokinetics and pharmacodynamics of ATP in human body, 2) test new algorithm in patients with coronary and other heart diseases. Materials and methods. In order to determine spectrum of factors influencing the results of stress test with ATP we inspected main scientific data bases and found 48 publications on ATP application for diagnostic purposes. Analysis of these publications allowed us to optimize algorithm of ATP s-Echo. Optimized algorith

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5

Horlenko, Olesya M., Vasyl I. Rusyn, Viktoriya M. Studenyak, et al. "INTEGRATIVE MORPHOMETRIC CHARACTERISTIC OF ENDOTHELIAL DYSFUNCTION IN THE CASES OF CHILDREN WITH ESSENTIAL ARTERIAL HYPERTENSION." Wiadomości Lekarskie 74, no. 4 (2021): 948–53. http://dx.doi.org/10.36740/wlek202104125.

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The aim: To optimize the treatment of children with Essential Arterial Hypertension (EAH) in assotiation with Endotelial Dysfunction (ED) by studying the clinical and morphofunctional characteristics of the cardiovascular system disorders and correction of endothelial dysfunction with the using of essential phospholipids. Materials and methods: The study group consisted of 80 children and 30 – a control group. The next stage included the division of 80 children into 2 subgroups. Patients in the first subgroup received basic treatment (angiotensin-converting enzyme inhibitor of the third genera

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6

Khari, Manju, and Prabhat Kumar. "Empirical Evaluation of Hill Climbing Algorithm." International Journal of Applied Metaheuristic Computing 8, no. 4 (2017): 27–40. http://dx.doi.org/10.4018/ijamc.2017100102.

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The software is growing in size and complexity every day due to which strong need is felt by the research community to search for the techniques which can optimize test cases effectively. The current study is inspired by the collective behavior of finding paths from the colony of food and uses different versions of Hill Climbing Algorithm (HCA) such as Stochastic, and Steepest Ascent HCA for the purpose of finding a good optimal solution. The performance of the proposed algorithm is verified on the basis of three parameters comprising of optimized test cases, time is taken during the optimizat

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7

Cioara, Tudor, Marcel Antal, Claudia Daniela Antal (Pop), et al. "Data Centers Optimized Integration with Multi-Energy Grids: Test Cases and Results in Operational Environment." Sustainability 12, no. 23 (2020): 9893. http://dx.doi.org/10.3390/su12239893.

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In this paper, we address the management of Data Centers (DCs) by considering their optimal integration with the electrical, thermal, and IT (Information Technology) networks helping them to meet sustainability objectives and gain primary energy savings. Innovative scenarios are defined for exploiting the DCs electrical, thermal, and workload flexibility as a commodity and Information and Communication Technologies (ICT) are proposed and used as enablers for the scenarios’ implementation. The technology and scenarios were evaluated in the context of two operational DCs: a micro DC in Poznan wh

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8

Sahoo, Rashmi Rekha, and Mitrabinda Ray. "Metaheuristic Techniques for Test Case Generation." Journal of Information Technology Research 11, no. 1 (2018): 158–71. http://dx.doi.org/10.4018/jitr.2018010110.

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The primary objective of software testing is to locate bugs as many as possible in software by using an optimum set of test cases. Optimum set of test cases are obtained by selection procedure which can be viewed as an optimization problem. So metaheuristic optimizing (searching) techniques have been immensely used to automate software testing task. The application of metaheuristic searching techniques in software testing is termed as Search Based Testing. Non-redundant, reliable and optimized test cases can be generated by the search based testing with less effort and time. This article prese

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9

Gladston, Angelin, and Niranjana Devi N. "Optimal Test Case Selection Using Ant Colony and Rough Sets." International Journal of Applied Evolutionary Computation 11, no. 2 (2020): 1–14. http://dx.doi.org/10.4018/ijaec.2020040101.

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Test case selection helps in improving quality of test suites by removing ambiguous, redundant test cases, thereby reducing the cost of software testing. Various works carried out have chosen test cases based on single parameter and optimized the test cases using single objective employing single strategies. In this article, a parameter selection technique is combined with an optimization technique for optimizing the selection of test cases. A two-step approach has been employed. In first step, the fuzzy entropy-based filtration is used for test case fitness evaluation and selection. In second

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10

Almutairi, Saleh Ateeq. "DL-MDF-OH2: Optimized Deep Learning-Based Monkeypox Diagnostic Framework Using the Metaheuristic Harris Hawks Optimizer Algorithm." Electronics 11, no. 24 (2022): 4077. http://dx.doi.org/10.3390/electronics11244077.

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At the time the world is attempting to get over the damage caused by the COVID-19 spread, the monkeypox virus threatens to evolve into a global pandemic. Human monkeypox was first recognized in Africa and has recently emerged in 103 countries outside Africa. However, monkeypox diagnosis in an early stage is difficult because of the similarity between it, chickenpox, cowpox and measles. In some cases, computer-assisted detection of monkeypox lesions can be helpful for quick identification of suspected cases. Infected and uninfected cases have added to a growing dataset that is publicly accessib

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11

Zhao, Jian Ping, Xiao Yang Liu, Hong Ming Xi, Li Ya Xu, Jian Hui Zhao, and Huan Ming Liu. "A Lightweight-Leveled Software Automated Test Framework." Advanced Materials Research 834-836 (October 2013): 1919–24. http://dx.doi.org/10.4028/www.scientific.net/amr.834-836.1919.

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To resolve the problem of a large amount of automated test scripts and test data files, through the test tool QTP, data-driven and keyword-driven testing mechanism, a test automation framework based on three layer data-driven mechanism is designed, including the design of the TestSet managing test case files, the design of the TestCase storing test cases and the design of the TestData storing test data.Through controlling the test scale and applying the test data pool, reconfigurable and optimization of test scripts are designed. The methods above can decouple the test design and the script de

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12

Bruce. E, John, and T. Sasi Prabha. "A Survey on Techniques Adopted in the Prioritization of Test Cases for Regression Testing." International Journal of Engineering & Technology 7, no. 4.5 (2018): 242. http://dx.doi.org/10.14419/ijet.v7i4.5.20078.

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Regression testing is testing the software with the intention to confirm that changes made on part of a module do not necessitate other parts of the module. Test case prioritization helps to reduce regression testing cost by ordering the test cases in such a way that it produces optimized results. Code Coverage and Fault detection being the factors behind the prioritization is dealt with techniques like Heuristic method, Meta Heuristic methods and Data mining techniques. The effectiveness of the techniques applied can be evaluated with the metrics like Average Percentage of Fault Detection (AP

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13

Liu, Zhenpeng, Xianwei Yang, Shichen Zhang, Yi Liu, Yonggang Zhao, and Weihua Zheng. "Automatic Generation of Test Cases Based on Genetic Algorithm and RBF Neural Network." Mobile Information Systems 2022 (May 23, 2022): 1–9. http://dx.doi.org/10.1155/2022/1489063.

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Software testing plays an important role in improving the quality of software, but the design of test cases requires a lot of manpower, material resources, and time, and designers tend to be subjective when designing test cases. To solve this problem and make the test cases have objectivity and greater coverage, a branch coverage test case automatic generation method based on genetic algorithm and RBF neural network algorithm (GAR) is proposed. In terms of test case generation, based on the genetic algorithm optimized in this paper, a certain number of test case samples are randomly selected t

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14

Mudarakola, Lakshmi Prasad, and J. K. R. Sastry. "A Neural Network Based Strategy (NNBS) for Automated Construction of Test Cases for Testing an Embedded System using Combinatorial Techniques." International Journal of Engineering & Technology 7, no. 1.3 (2017): 74. http://dx.doi.org/10.14419/ijet.v7i1.3.9271.

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Testing an embedded system is required to locate bugs in software, diminish risk, development, repairs costs and to improve performance for both users and the company. Embedded software testing tools are useful for catching defects during unit, integration and system testing. Embedded systems in many cases must be optimized by engaging crucial areas of the embedded systems considering all factors of the input domain. The most important concern is to build a place of test cases depend on design of the requirements that can recognize more number of faults at a least rate and point in time in the

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15

Senthil Kumar, K., and A. Muthukumaravel. "A Hybrid Approach for Test Case Prioritization using PSO Based on Software Quality Metrics." International Journal of Engineering & Technology 7, no. 3.12 (2018): 300. http://dx.doi.org/10.14419/ijet.v7i3.12.16046.

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Effective functionality checking of any software application is the crucial event that determines the quality of outcome obtained. Generally, checking scenarios that involves multiple test cases in mixture with multiple components is time consuming and also increases the quality assurance cost. Selection of suitable method/approach for optimization and prioritization of test cases as well as appropriate evaluation of the application would result in reduction of fault detection effort without appreciable information loss and further would also significantly decrease the clearing up cost. In the

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16

Park, Jongwon. "An Optimized Colorimetric Readout Method for Lateral Flow Immunoassays." Sensors 18, no. 12 (2018): 4084. http://dx.doi.org/10.3390/s18124084.

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Despite its broad penetration of various markets, the quantitative lateral flow immunoassay (LFIA) suffers from sensitivity issues in some cases. To solve this problem, an optimized colorimetric readout method for LFIA quantification is proposed in this study. An assay reader device utilizing a color camera and an analysis method using a Bayer filtered image were developed. Spectrometric measurements of the assay test line were performed to determine the color channel that contains the test line information and effectively minimizes noise. The change in the intensity ratio with increasing conc

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17

Maniatopoulos, Andreas, and Nikolaos Mitianoudis. "Learnable Leaky ReLU (LeLeLU): An Alternative Accuracy-Optimized Activation Function." Information 12, no. 12 (2021): 513. http://dx.doi.org/10.3390/info12120513.

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In neural networks, a vital component in the learning and inference process is the activation function. There are many different approaches, but only nonlinear activation functions allow such networks to compute non-trivial problems by using only a small number of nodes, and such activation functions are called nonlinearities. With the emergence of deep learning, the need for competent activation functions that can enable or expedite learning in deeper layers has emerged. In this paper, we propose a novel activation function, combining many features of successful activation functions, achievin

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18

Tatale, Subhash, and Vudatha Chandra Prakash. "Automatic Generation and Optimization of Combinatorial Test Cases from UML Activity Diagram Using Particle Swarm Optimization." Ingénierie des systèmes d information 27, no. 1 (2022): 49–59. http://dx.doi.org/10.18280/isi.270106.

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Generation of test cases is one of the essential activities of the software testing process. The process of executing a programme to identify defects to improve the system's quality is known as software testing. Manually writing test cases takes time, effort, and money. On the other hand, generating test cases automatically is the solution to this problem. For this automation process, a model-based test case generation technique would be acceptable. A model is usually required to generate test cases in the model-based testing technique. Nowadays, researchers have relied on the activity diagram

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19

Rathee, Nisha, and Rajender Singh Chhillar. "Model Driven Approach to Secure Optimized Test Paths for Smart Samsung Pay using Hybrid Genetic Tabu Search Algorithm." International Journal of Information System Modeling and Design 9, no. 1 (2018): 77–91. http://dx.doi.org/10.4018/ijismd.2018010104.

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Smart mobile pay applications on smart devices have been considered as the most efficient and secure mode of contactless payment. To safeguard customer credit/ debit card details, testing of mobile pay solutions like Samsung Pay is most important and critical task for testers. Testing of all the test cases is very tedious and a time-consuming task, therefore optimization techniques have been used to identify most optimized test paths. In this article, a hybrid genetic and tabu search optimization (HGTO) algorithm is proposed to secure optimized test paths using activity diagram of the smart Sa

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20

Chennappan, R., and Vidyaa Thulasiraman. "Multicriteria Cuckoo search optimized latent Dirichlet allocation based Ruzchika indexive regression for software quality management." Indonesian Journal of Electrical Engineering and Computer Science 24, no. 3 (2021): 1804. http://dx.doi.org/10.11591/ijeecs.v24.i3.pp1804-1813.

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The paper presents the software quality management is a highly significant one to ensure the quality and to review the reliability of software products. To improve the software quality by predicting software failures and enhancing the scalability, in this paper, we present a novel reinforced Cuckoo search optimized latent Dirichlet allocation based Ruzchika indexive regression (RCSOLDA-RIR) technique. At first, Multicriteria reinforced Cuckoo search optimization is used to perform the test case selection and find the most optimal solution while considering the multiple criteria and selecting t

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21

Lee, Chang-Whan, Dong-Jun Kim, Sung-Kwon Kim, and Kyuho Sim. "Design Optimization of Flexure Springs for Free-Piston Stirling Engines and Experimental Evaluations with Fatigue Testing." Energies 14, no. 16 (2021): 5156. http://dx.doi.org/10.3390/en14165156.

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The free-piston Stirling engine is a closed-cycle regenerative heat engine that converts heat energy into mechanical work, and requires a spring element for vibratory operations of the displacer and power pistons. In this study, the geometry of the flexural spring design was optimized through structural finite element analyses and fatigue test evaluations. First, we constructed a target design space considering the required natural frequency of the displacer spring assembly under the geometric constraints of total mass and module height. The design of experiments was employed to construct simu

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22

Schoemig-Markiefka, Birgid, Jana Eschbach, Andreas H. Scheel, et al. "Optimized PD-L1 scoring of gastric cancer." Gastric Cancer 24, no. 5 (2021): 1115–22. http://dx.doi.org/10.1007/s10120-021-01195-4.

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Abstract Background PD-1/PD-L1-Immunotherapy has been approved for gastric carcinoma. PD-L1 assessment by immunohistochemistry is the principle biomarker. Are biopsies able to map the actual PD-L1 status of the entire tumor? Methods Whole tumor slides of 56 gastric carcinoma were analyzed to determine the distribution of PD-L1 positive cells in the entire tumor areas. Tissue micro arrays with four cores of the tumor surface, which represents the endoscopically accessible biopsy zone, were built from the same tumors. The PD-L1 CPS value was determined separately for each core. Preoperative diag

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23

MALA, D. JEYA, and V. MOHAN. "ON THE USE OF INTELLIGENT AGENTS TO GUIDE TEST SEQUENCE SELECTION AND OPTIMIZATION." International Journal of Computational Intelligence and Applications 08, no. 02 (2009): 155–79. http://dx.doi.org/10.1142/s1469026809002515.

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Many of the automated testing tools concentrate on the automatic generation of test cases but do not worry about their optimization. In our paper, we analyzed the system model, which is represented as a state diagram and selected a very limited set of test sequences to be executed from the extreme large number (usually infinitely many) of potential ones. This paper demonstrates a way to generate optimal test sequences that are guaranteed to take the least possible time to execute and also satisfies both state and branch coverage criteria using Intelligent Agents. In the proposed approach, the

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24

Amattouch, M. R., N. Nagid, and H. Belhadj. "Optimized Domain Decomposition Method for Non Linear Reaction Advection Diffusion Equation." European Scientific Journal, ESJ 12, no. 27 (2016): 63. http://dx.doi.org/10.19044/esj.2016.v12n27p63.

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This work is devoted to an optimized domain decomposition method applied to a non linear reaction advection diffusion equation. The proposed method is based on the idea of the optimized of two order (OO2) method developed this last two decades. We first treat a modified fixed point technique to linearize the problem and then we generalize the OO2 method and modify it to obtain a new more optimized rate of convergence of the Schwarz algorithm. To compute the new rate of convergence we have used Fourier analysis. For the numerical computation we minimize this rate of convergence using a global o

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25

Dubey, Yogita, Divakar Singh, and Anju Singh. "A Parallel Early Binding Recursive Ant Colony Optimization (PEB-RAC) Approach for Generating Optimized Auto Test Cases from programming Inputs." International Journal of Computer Applications 136, no. 3 (2016): 11–17. http://dx.doi.org/10.5120/ijca2016908420.

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26

Hotchen, Andrew J., Maria Dudareva, Jamie Y. Ferguson, Parham Sendi, and Martin A. McNally. "The BACH classification of long bone osteomyelitis." Bone & Joint Research 8, no. 10 (2019): 459–68. http://dx.doi.org/10.1302/2046-3758.810.bjr-2019-0050.r1.

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Objectives The aim of this study was to assess the clinical application of, and optimize the variables used in, the BACH classification of long-bone osteomyelitis. Methods A total of 30 clinicians from a variety of specialities classified 20 anonymized cases of long-bone osteomyelitis using BACH. Cases were derived from patients who presented to specialist centres in the United Kingdom between October 2016 and April 2017. Accuracy and Fleiss’ kappa (Fκ) were calculated for each variable. Bone involvement (B-variable) was assessed further by nine clinicians who classified ten additional cases o

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27

Mena, Natmir, Polina G. Marinova-Kichikova, and Kiril G. Kirov. "Optimized Drainage of Pancreatic-Digestive Anastomosis in Patients with Pancreatoduodenal Resection." Journal of Biomedical and Clinical Research 15, no. 2 (2022): 135–41. http://dx.doi.org/10.2478/jbcr-2022-0019.

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Summary The study compared early post-surgical complications between two groups of patients with pancreatoduodenal resection for pancreatic head carcinoma: patients with pancreatic-gastric anastomosis with mixed drainage and controls with pancreatic jejunal anastomosis with external drainage. The present study was a cohort study. The patient group was selected prospectively, and the control group – retrospectively. Patients were randomized by sex, age, primary tumor location, pancreatic parenchyma density, clinical symptoms, tumor–node–metastasis (TNM), and grade (G). We used the IBM SPSS Stat

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28

Uervirojnangkoorn, Monarin, Rolf Hilgenfeld, Thomas C. Terwilliger, and Randy J. Read. "Improving experimental phases for strong reflections prior to density modification." Acta Crystallographica Section D Biological Crystallography 69, no. 10 (2013): 2039–49. http://dx.doi.org/10.1107/s0907444913018167.

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Experimental phasing of diffraction data from macromolecular crystals involves deriving phase probability distributions. These distributions are often bimodal, making their weighted average, the centroid phase, improbable, so that electron-density maps computed using centroid phases are often non-interpretable. Density modification brings in information about the characteristics of electron density in protein crystals. In successful cases, this allows a choice between the modes in the phase probability distributions, and the maps can cross the borderline between non-interpretable and interpret

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29

Kriegsmann, Mark, Christian Haag, Cleo-Aron Weis, et al. "Deep Learning for the Classification of Small-Cell and Non-Small-Cell Lung Cancer." Cancers 12, no. 6 (2020): 1604. http://dx.doi.org/10.3390/cancers12061604.

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Reliable entity subtyping is paramount for therapy stratification in lung cancer. Morphological evaluation remains the basis for entity subtyping and directs the application of additional methods such as immunohistochemistry (IHC). The decision of whether to perform IHC for subtyping is subjective, and access to IHC is not available worldwide. Thus, the application of additional methods to support morphological entity subtyping is desirable. Therefore, the ability of convolutional neuronal networks (CNNs) to classify the most common lung cancer subtypes, pulmonary adenocarcinoma (ADC), pulmona

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30

Kim, Jisun, Jaewoong Kim, In-ju Kim, Sungwook Kang, and Kwangsan Chun. "An Analysis of Mechanical Properties for Ultrasonically Welded Multiple C1220-Al1050 Layers." Applied Sciences 9, no. 19 (2019): 4188. http://dx.doi.org/10.3390/app9194188.

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This study analyzed the characteristics of aluminum and copper sheets under multi-layer ultrasonic welding, and observed the strength, fracture type, and interface of the weld zone according to location. In addition, an experimental plan was developed using the Taguchi method to optimize the quadruple lap ultrasonic welding process conditions of 0.4t aluminum and copper sheets, and the experiment was performed for each of 25 welding condition. For strength evaluation, the ultrasonic welding performance was evaluated by measuring the tensile strength as a composite material and the shear force

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31

Kiran, Ayesha, Wasi Haider Butt, Arslan Shaukat, et al. "Multi-objective regression test suite optimization using three variants of adaptive neuro fuzzy inference system." PLOS ONE 15, no. 12 (2020): e0242708. http://dx.doi.org/10.1371/journal.pone.0242708.

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Анотація:

In the process of software development, regression testing is one of the major activities that is done after making modifications in the current system or whenever a software system evolves. But, the test suite size increases with the addition of new test cases and it becomes in-efficient because of the occurrence of redundant, broken, and obsolete test cases. For that reason, it results in additional time and budget to run all these test cases. Many researchers have proposed computational intelligence and conventional approaches for dealing with this problem and they have achieved an optimize

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32

Lu, Suying, David Duplat, Paula Benitez-Bolivar, et al. "Multicenter international assessment of a SARS-CoV-2 RT-LAMP test for point of care clinical application." PLOS ONE 17, no. 5 (2022): e0268340. http://dx.doi.org/10.1371/journal.pone.0268340.

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Анотація:

Continued waves, new variants, and limited vaccine deployment mean that SARS-CoV-2 tests remain vital to constrain the coronavirus disease 2019 (COVID-19) pandemic. Affordable, point-of-care (PoC) tests allow rapid screening in non-medical settings. Reverse-transcription loop-mediated isothermal amplification (RT-LAMP) is an appealing approach. A crucial step is to optimize testing in low/medium resource settings. Here, we optimized RT-LAMP for SARS-CoV-2 and human β-actin, and tested clinical samples in multiple countries. “TTTT” linker primers did not improve performance, and while guanidine

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Ojugo, Arnold, and Oghenevwede Debby Otakore. "Forging An Optimized Bayesian Network Model With Selected Parameters For Detection of The Coronavirus In Delta State of Nigeria." Journal of Applied Science, Engineering, Technology, and Education 3, no. 1 (2020): 37–45. http://dx.doi.org/10.35877/454ri.asci2163.

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Machine learning algorithm have become veritable tools for effective decision support towards the construction of systems that assist experts (individuals) in their field of exploits and endeavor with regards to problematic tasks.. They are best suited for tasks where data is explored and exploited; and cases where the dataset contains noise, partial truth, ambiguities and in cases where there is shortage of datasets. For this study, we employ the Bayesian network to construct a model trained towards a target system that can help predict best parameters used for classification of the novel cor

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Simões, Maria, Jorge Antunes, José Fernandes, and Nataliya Sakharova. "Numerical Simulation of the Depth-Sensing Indentation Test with Knoop Indenter." Metals 8, no. 11 (2018): 885. http://dx.doi.org/10.3390/met8110885.

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Depth-sensing indentation (DSI) technique allows easy and reliable determination of two mechanical properties of materials: hardness and Young’s modulus. Most of the studies are focusing on the Vickers, Berkovich, and conical indenter geometries. In case of Knoop indenter, the existing experimental and numerical studies are scarce. The goal of the current study is to contribute for the understanding of the mechanical phenomena that occur in the material under Knoop indention, enhancing and facilitating the analysis of its results obtained in DSI tests. For this purpose, a finite element code,

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Okotie, S., and A. E. Fasanya. "PARTICLE SWARM OPTIMIZATION OF SOLUTION GAS OIL RATIO." Open Journal of Engineering Science (ISSN: 2734-2115) 1, no. 1 (2020): 14–25. http://dx.doi.org/10.52417/ojes.v1i1.81.

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Reservoir fluid properties are very important in reservoir engineering computations such as material balance calculation, well test analysis, reserves estimate and numerical reservoir simulations. Ideally, these properties should be obtained from laboratory pressure-volume-temperature (PVT) analysis. Quite often, however, these measurements are either not available, or very costly to obtain. In such cases, empirically derived correlations are used to estimate the needed properties, all computation therefore, will depend on the accuracy of the correlations used for estimating the fluid properti

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Yang, Wei, Hong Ji Meng, Ya Juan Huang, and Zhi Xie. "Prediction on Molten Steel End Temperature during Tapping in BOF Based on LS-SVM and PSO." Advanced Materials Research 508 (April 2012): 233–36. http://dx.doi.org/10.4028/www.scientific.net/amr.508.233.

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A new molten steel end temperature prediction model is built employing LS-SVM. To seek the optimal parameters of regularization parameter γ and kernel parameter σ in LS-SVM, an PSO algorithm is also proposed. To test the proposed predictor, the prediction model is applied on practical data from Fujian Sangang steelmaking collected in 100t BOF, and the validation is carried on the performance of the prediction. The model overcomes the blindness and the burden in time consuming of cross validation method, and at the same time, inherits the strong learning ability from small sample and the charac

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Munawar, Hafiz Suliman, Hina Inam, Fahim Ullah, Siddra Qayyum, Abbas Z. Kouzani, and M. A. Parvez Mahmud. "Towards Smart Healthcare: UAV-Based Optimized Path Planning for Delivering COVID-19 Self-Testing Kits Using Cutting Edge Technologies." Sustainability 13, no. 18 (2021): 10426. http://dx.doi.org/10.3390/su131810426.

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Coronavirus Disease 2019 (COVID-19) has emerged as a global pandemic since late 2019 and has affected all forms of human life and economic developments. Various techniques are used to collect the infected patients’ sample, which carries risks of transferring the infection to others. The current study proposes an AI-powered UAV-based sample collection procedure through self-collection kits delivery to the potential patients and bringing the samples back for testing. Using a hypothetical case study of Islamabad, Pakistan, various test cases are run where the UAVs paths are optimized using four k

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Rathee, Nisha, and Rajender Singh Chhillar. "Optimization of Favourable Test Path Sequences Using Bio-Inspired Natural River System Algorithm." Journal of Information Technology Research 14, no. 2 (2021): 85–105. http://dx.doi.org/10.4018/jitr.2021040105.

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Testing of software requires a great amount of time and effort. The tester's main aim is to design optimized test sequences with a minimum amount of time, effort, and with less redundancy. Testers have used artificial intelligence meta-heuristic algorithms for optimization of test sequences. The model-driven approach is helpful in the generation of test sequences at early designing phase only. The model-driven approach uses UML diagram to represent the system's behavior and design test cases for the system at design stage of software development life cycle. The proposed approach uses natural r

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Hakamipour, Nooshin. "Time and cost constrained optimal designs of multiple step stress tests under progressive censoring." International Journal of Quality & Reliability Management 36, no. 10 (2019): 1721–33. http://dx.doi.org/10.1108/ijqrm-09-2018-0239.

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Purpose The purpose of this paper is to consider the general k level step-stress accelerated life test with the Rayleigh lifetime distribution for units subjected to stress under progressive Type-I censoring. Design/methodology/approach The parameter of this distribution is assumed to be a log-linear function of the stress, and a tampered failure rate model holds. The progressive Type-I censoring reduces the cost of testing. Due to constrained resources in practice, the test design must be optimized carefully. A numerical study is conducted to illustrate the optimum test design based on severa

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Cao, Wei, Peng Zhang, Nana Dong, et al. "Efficacy Evaluation of Zoledronic Acid Combined with Chemotherapy in the Treatment of Lung Cancer Spinal Metastases on Computed Tomography Images on Intelligent Algorithms." Computational and Mathematical Methods in Medicine 2022 (May 6, 2022): 1–11. http://dx.doi.org/10.1155/2022/6431852.

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To analyze the effectiveness and safety of zoledronic acid combined with chemotherapy for lung cancer spinal metastases, 96 patients with lung cancer spinal metastases were averagely classified into the experimental group (gemcitabine, cisplatin, and zoledronic acid) and the control group (gemcitabine and cisplatin). An optimized noise variance estimation algorithm (OMAPB) was proposed based on the maximum a posteriori Bayesian method (MAPB), and the algorithm was applied to the patient’s computed tomography (CT) scan. The results indicated that in terms of curative effect, the number of compl

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Furukawa, Daisuke, Brian Kim, and Arthur Jeng. "2002. BioFire® Filmarray® Pneumonia Panel: A Powerful Rapid Diagnostic Test for Antimicrobial Stewardship." Open Forum Infectious Diseases 6, Supplement_2 (2019): S671. http://dx.doi.org/10.1093/ofid/ofz360.1682.

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Abstract Background BioFire® Filmarray® Pneumonia Panel (BFPP) is a multiplex PCR panel that identifies 33 common bacterial and viral pathogens seen in community- and hospital-acquired pneumonias. It rapidly identifies these pathogens in addition to 7 antibiotic resistance genes on sputum and bronchioalveolar lavage samples in 1 hour. As one of the test centers for this panel, our institution utilized this panel for clinical and laboratory use. We reviewed the impact of BFPP on antimicrobial stewardship, particularly its role in early discontinuation of empiric antibiotics and prompt initiatio

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Naz, Komal, Fasiha Zainab, Khawaja Khalid Mehmood, Syed Basit Ali Bukhari, Hassan Abdullah Khalid, and Chul-Hwan Kim. "An Optimized Framework for Energy Management of Multi-Microgrid Systems." Energies 14, no. 19 (2021): 6012. http://dx.doi.org/10.3390/en14196012.

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Regarding different challenges, such as integration of green energy and autonomy of microgrid (MG) in the multi-microgrid (MMG) system, this paper presents an optimized and coordinated strategy for energy management of MMG systems that consider multiple scenarios of MGs. The proposed strategy operates at two optimization levels: local and global. At an MG level, each energy management system satisfies its local demand by utilizing all available resources via local optimization, and only sends surplus/deficit energy data signals to MMG level, which enhances customer privacy. Thereafter, at an M

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Dong, Sihui, Jinxiao Lv, Kang Wang, Wanjing Li, and Yining Tian. "Design and Optimization for a New Locomotive Power Battery Box." Sustainability 14, no. 19 (2022): 12810. http://dx.doi.org/10.3390/su141912810.

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To solve the disadvantages of the low protection grade, high weight, and high cost of the existing locomotive power battery system, this study optimizes the existing scheme and introduces the design concept of two-stage protection. The purpose of the research is to improve the protection level of the battery pack to IP68, to optimize the sheet metal power battery box structure into a more lightweight frame structure, to simplify the cooling mode of the battery pack for natural air cooling, and to improve the battery protection level and maintain the heat exchange capability. In the course of t

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Amattouch, M. R., H. Belhadj, and N. Nagid. "New optimized domain decomposition order 4 method(OO4) applied to reaction advection diffusion equation." Journal of Modern Methods in Numerical Mathematics 9, no. 1-2 (2018): 28–41. http://dx.doi.org/10.20454/jmmnm.2018.1296.

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The purpose of this work is the study of a new approach of domain decomposition method, the optimized order 4 method(OO4), to solve a reaction advection diusion equation. This method is a Schwarz waveform relaxation approach extending the known OO2 idea. The OO4 method is a reformulation of the Schwarz algorithm with specific conditions at the interface. This condition are a dierential equation of order 1 in the normal direction and of order 4 in the tangential direction to the interface resulting of artificial boundary conditions. The obtained scheme is solved by a Krylov type algorithm. The

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Malaby, Andrew W., Srinivas Chakravarthy, Thomas C. Irving, Sagar V. Kathuria, Osman Bilsel, and David G. Lambright. "Methods for analysis of size-exclusion chromatography–small-angle X-ray scattering and reconstruction of protein scattering." Journal of Applied Crystallography 48, no. 4 (2015): 1102–13. http://dx.doi.org/10.1107/s1600576715010420.

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Size-exclusion chromatography in line with small-angle X-ray scattering (SEC–SAXS) has emerged as an important method for investigation of heterogeneous and self-associating systems, but presents specific challenges for data processing including buffer subtraction and analysis of overlapping peaks. This paper presents novel methods based on singular value decomposition (SVD) and Guinier-optimized linear combination (LC) to facilitate analysis of SEC–SAXS data sets and high-quality reconstruction of protein scattering directly from peak regions. It is shown that Guinier-optimized buffer subtrac

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Eleshaky, Mohamed E., and Oktay Baysal. "Airfoil Shape Optimization Using Sensitivity Analysis on Viscous Flow Equations." Journal of Fluids Engineering 115, no. 1 (1993): 75–84. http://dx.doi.org/10.1115/1.2910117.

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An aerodynamic shape optimization method has previously been developed by the authors using the Euler equations and has been applied to supersonic-hypersonic nozzle designs. This method has also included a flowfield extrapolation (or flow prediction) method based on the Taylor series expansion of an existing CFD solution. The present paper reports on the extension of this method to the thin-layer Navier-Stokes equations in order to account for the viscous effects. Also, to test the method under highly nonlinear conditions, it has been applied to the transonic flows. Initially, the success of t

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Rani, Shweta, Bharti Suri, and Rinkaj Goyal. "On the Effectiveness of Using Elitist Genetic Algorithm in Mutation Testing." Symmetry 11, no. 9 (2019): 1145. http://dx.doi.org/10.3390/sym11091145.

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Manual test case generation is an exhaustive and time-consuming process. However, automated test data generation may reduce the efforts and assist in creating an adequate test suite embracing predefined goals. The quality of a test suite depends on its fault-finding behavior. Mutants have been widely accepted for simulating the artificial faults that behave similarly to realistic ones for test data generation. In prior studies, the use of search-based techniques has been extensively reported to enhance the quality of test suites. Symmetry, however, can have a detrimental impact on the dynamics

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Nguyen, Hung Thanh. "VALUATION OF WATER AND SCARCE WATER RESOURCES OPTIMAL ALLOCATION AT THE RIVER BASIN LEVEL A CASE STUDY IN DOWNSTREAM AREA OF THE DONG NAI RIVER SYSTEM BASIN." Science and Technology Development Journal 15, no. 4 (2012): 87–101. http://dx.doi.org/10.32508/stdj.v15i4.1826.

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Water scarcity is an ongoing reality in many river basins due to the need for increasingly water use associated with water pollution and climate change. Faced with this situation, it is necessary to know the true value of scarce water resources to contribute to effective water allocation. In this paper, a model to optimize the allocation of water resources with the constraints in terms of hydrology has developed based on the principle of balance in marginal net benefits of water use across sectors, and test applied to solve the optimal water sources allocation in the downstream area of the Don

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Reddy T, Chandrasekhara, Srivani V, A. Mallikarjuna Reddy, and G. Vishnu Murthy. "Test Case Optimization and Prioritization Using Improved Cuckoo Search and Particle Swarm Optimization Algorithm." International Journal of Engineering & Technology 7, no. 4.6 (2018): 275. http://dx.doi.org/10.14419/ijet.v7i4.6.20489.

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For minimized t-way test suite generation (t indicates more strength of interaction) recently many meta-heuristic, hybrid and hyper-heuristic algorithms are proposed which includes Artificial Bee Colony (ABC), Ant Colony Optimization (ACO), Genetic Algorithms (GA), Simulated Annealing (SA), Cuckoo Search (CS), Harmony Elements Algorithm (HE), Exponential Monte Carlo with counter (EMCQ), Particle Swarm Optimization (PSO), and Choice Function (CF). Although useful strategies are required specific domain knowledge to allow effective tuning before good quality solutions can be obtained. In our pro

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Gupta, Varun, Durg Singh Chauhan, and Kamlesh Dutta. "Hybrid Regression Testing Based on Path Pruning." International Journal of Systems and Service-Oriented Engineering 5, no. 1 (2015): 35–55. http://dx.doi.org/10.4018/ijssoe.2015010103.

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Regression testing has been studied by various researchers for developing and testing the quality of software. Regression testing aims at re-execution of evolved software code to ensure that no new errors had been introduced during the process of modification. Since re-execution of all test cases is not feasible, selecting manageable number of test cases to execute modified code with good fault detection rate is a problem. In past few years, various hybrid based regression testing approaches have been proposed and successfully employed for software testing, aiming at reduction in the number of

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