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Journal articles on the topic 'Duplicate Bug Report Detection'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Gupta, Som, and Sanjai Kumar Gupta. "Bug Reports and Deep Learning Models." International Journal of Computer Science and Mobile Computing 10, no. 12 (2021): 21–26. http://dx.doi.org/10.47760/ijcsmc.2021.v10i12.003.

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Deep Learning is one of the emerging and trending research area of machine learning in various domains. The paper describes the deep learning approaches applied to the domain of Bug Reports. The paper classifies the tasks being performed for mining of Bug Reports into Bug Report Classification, Bug Localization, Bug Report Summarization and Duplicate Bug Report Detection. The paper systematically discusses about the deep learning approaches being used for the mentioned tasks, and the future directions in this field of research.

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ZOU, Jie, Ling XU, Mengning YANG, Xiaohong ZHANG, Jun ZENG, and Sachio HIROKAWA. "Automated Duplicate Bug Report Detection Using Multi-Factor Analysis." IEICE Transactions on Information and Systems E99.D, no. 7 (2016): 1762–75. http://dx.doi.org/10.1587/transinf.2016edp7052.

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Nhan, Phuc Minh. "IMPROVING DETECTION PERFORMANCE OF DUPLICATE BUG REPORTS USING EXTENDED CLASS CENTROID INFORMATION." Scientific Journal of Tra Vinh University 1, no. 26 (2019): 71–79. http://dx.doi.org/10.35382/18594816.1.26.2017.107.

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In software maintenance, bug reports play an important role in the correctness of software packages. Unfortunately, the duplicatebug report problem arises because there are too many duplicate bug reports in various software projects. Handling with duplicate bug reports is thus time-consuming and has high cost of software maintenance. Therefore, this research introduces a detection scheme based on the extended class centroid information (ECCI) to enhance thedetection performance. This method is extended from the previous one, which used only centroid method without considering the effects of bo

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Nhan, Phuc Minh, and Thien Hoang Duy Nguyen. "MULTI-FEATURE MODEL FOR DUPLICATE BUG REPORTS DETECTION SOLUTION." Scientific Journal of Tra Vinh University 1, no. 1 (2019): 29–36. http://dx.doi.org/10.35382/18594816.1.1.2019.84.

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For open source software such as Firefox, Eclipse, Subversion,. . . they usually have a system for bug management that sent by users. These bug reports help the system identify various software bugs which makes software maintenance better. However, a situation occurs that there are many error reports sent to the processing repository that these bug reports were previously reported by different users, this is called duplicate bug reports. In this paper, we introduce a multi-feature model combined with weighted improvements from CFC (ClassFeature-Centroid) to detect duplicate bug reportsautomati

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Kukkar, Ashima, Rajni Mohana, Yugal Kumar, Anand Nayyar, Muhammad Bilal, and Kyung-Sup Kwak. "Duplicate Bug Report Detection and Classification System Based on Deep Learning Technique." IEEE Access 8 (2020): 200749–63. http://dx.doi.org/10.1109/access.2020.3033045.

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Hindle, Abram, Anahita Alipour, and Eleni Stroulia. "A contextual approach towards more accurate duplicate bug report detection and ranking." Empirical Software Engineering 21, no. 2 (2015): 368–410. http://dx.doi.org/10.1007/s10664-015-9387-3.

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Rocha, Thiago Marques, and Andre Luiz Da Costa Carvalho. "SiameseQAT: A Semantic Context-Based Duplicate Bug Report Detection Using Replicated Cluster Information." IEEE Access 9 (2021): 44610–30. http://dx.doi.org/10.1109/access.2021.3066283.

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Zhang, Tao, Geunseok Yang, Byungjeong Lee, and Alvin T. S. Chan. "Guiding Bug Triage through Developer Analysis in Bug Reports." International Journal of Software Engineering and Knowledge Engineering 26, no. 03 (2016): 405–31. http://dx.doi.org/10.1142/s0218194016500170.

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An important part of software maintenance is bug report analysis during bug-fixing, especially for large-scale software projects. Since bugs reported to the bug repository need to be fixed, triagers are responsible to identify appropriate developers to execute the fix. Previous research focused on optimizing this process, such as by duplicate detection and use of developer recommendations for reducing the workload of triagers. However, there were scant studies that analyzed developer roles (e.g. reporter and assignee) in the bug-fixing process. Therefore, in this paper, we perform an in-depth

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Soleimani Neysiani, Behzad, Seyed Morteza Babamir, and Masayoshi Aritsugi. "Efficient feature extraction model for validation performance improvement of duplicate bug report detection in software bug triage systems." Information and Software Technology 126 (October 2020): 106344. http://dx.doi.org/10.1016/j.infsof.2020.106344.

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ZHANG, Tao, and Byungjeong LEE. "A Novel Technique for Duplicate Detection and Classification of Bug Reports." IEICE Transactions on Information and Systems E97.D, no. 7 (2014): 1756–68. http://dx.doi.org/10.1587/transinf.e97.d.1756.

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Ebrahimi, Neda, Abdelaziz Trabelsi, Md Shariful Islam, Abdelwahab Hamou-Lhadj, and Kobra Khanmohammadi. "An HMM-based approach for automatic detection and classification of duplicate bug reports." Information and Software Technology 113 (September 2019): 98–109. http://dx.doi.org/10.1016/j.infsof.2019.05.007.

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Chaturvedi, K. K., and V. B. Singh. "An Empirical Comparison of Machine Learning Techniques in Predicting the Bug Severity of Open and Closed Source Projects." International Journal of Open Source Software and Processes 4, no. 2 (2012): 32–59. http://dx.doi.org/10.4018/jossp.2012040103.

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Bug severity is the degree of impact that a defect has on the development or operation of a component or system, and can be classified into different levels based on their impact on the system. Identification of severity level can be useful for bug triager in allocating the bug to the concerned bug fixer. Various researchers have attempted text mining techniques in predicting the severity of bugs, detection of duplicate bug reports and assignment of bugs to suitable fixer for its fix. In this paper, an attempt has been made to compare the performance of different machine learning techniques na

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Aminoroaya, Zahra, Behzad Soleimani Neysiani, and Mohammad Hossein Nadimi Shahraki. "Detecting Duplicate Bug Reports Techniques." Research Journal of Applied Sciences 13, no. 9 (2019): 522–31. http://dx.doi.org/10.36478/rjasci.2018.522.531.

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Mukhtar, Samal, Claudia Cahya Primadani, Seonah Lee, and Pilsu Jung. "A Comparison of Summarization Methods for Duplicate Software Bug Reports." Electronics 12, no. 16 (2023): 3456. http://dx.doi.org/10.3390/electronics12163456.

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Bug reports vary in length, while some bug reports are lengthy, others are too brief to describe bugs in detail. In such a case, duplicate bug reports can serve as valuable resources for enriching bug descriptions. However, existing bug summarization methods mainly focused on summarizing a single bug report. In this paper, we focus on summarizing duplicate bug reports. By doing so, we aim to obtain an informative summary of bug reports while reducing redundant sentences in the summary. We apply several text summarization methods to duplicate bug reports. We then compare summarization results g

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Aggarwal, Karan, Finbarr Timbers, Tanner Rutgers, Abram Hindle, Eleni Stroulia, and Russell Greiner. "Detecting duplicate bug reports with software engineering domain knowledge." Journal of Software: Evolution and Process 29, no. 3 (2016): e1821. http://dx.doi.org/10.1002/smr.1821.

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HAO, Dan, Junjie CHEN, Lu ZHANG, Wenxiang HU, Hongyu ZHANG, and Yingfei XIONG. "Static duplicate bug-report identification for compilers." SCIENTIA SINICA Informationis 49, no. 10 (2019): 1283. http://dx.doi.org/10.1360/n112019-00001.

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Phuc, Nhan Minh. "Using BM25 weighting and Cluster Shrinkage for Detecting Duplicate Bug Reports." IJARCCE 7, no. 11 (2018): 71–77. http://dx.doi.org/10.17148/ijarcce.2018.71116.

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Altaf, Saud, Sofia Iqbal, and Muhammad Waseem Soomro. "Efficient natural language classification algorithm for detecting duplicate unsupervised features." Informatics and Automation 20, no. 3 (2021): 623–53. http://dx.doi.org/10.15622/ia.2021.3.5.

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This paper focuses on capturing the meaning of Natural Language Understanding (NLU) text features to detect the duplicate unsupervised features. The NLU features are compared with lexical approaches to prove the suitable classification technique. The transfer-learning approach is utilized to train the extraction of features on the Semantic Textual Similarity (STS) task. All features are evaluated with two types of datasets that belong to Bosch bug and Wikipedia article reports. This study aims to structure the recent research efforts by comparing NLU concepts for featuring semantics of text an

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Vinothini, A., and Hariharan R. "Bug Detection and Report: A Case Study on Dataset for Software Management using Security Bug Report." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 1567–88. http://dx.doi.org/10.22214/ijraset.2022.42562.

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Abstract: In order to build a prediction model we must label a large amount of data in order to mine software repositories. The accuracy of the labels has a significant impact on a model's performance. However, there have been few research that have looked into the influence on a prediction model, there are occurrences that have been mislabeled.. To close the gap, we conduct a research project on how to report a security bug (SBR)prediction in this paper. Furthermore, it has the potential to mislead SBR prediction research. We first enhance the label validity of these 5 datasets by personally

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Batta, Priyanka, and Miss Himanshi. "HYBRID TECHNIQUE FOR SOFTWARE CODE CLONE DETECTION." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 2 (2012): 98–102. http://dx.doi.org/10.24297/ijct.v2i2b.2639.

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Software Clone detection is one of the hottest research area that helps in detecting duplicate code from an applications. The research has shown that 5% to 20% of software systems can contain duplicated code that is generated by simply copying the existing program code and pasting with or without minor modifications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clon

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Jiang, Yuan, Pengcheng Lu, Xiaohong Su, and Tiantian Wang. "LTRWES: A new framework for security bug report detection." Information and Software Technology 124 (August 2020): 106314. http://dx.doi.org/10.1016/j.infsof.2020.106314.

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Kaur, Ramanpreet. "An Environment for detection of Bugs through SVM." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 14, no. 8 (2015): 6009–13. http://dx.doi.org/10.24297/ijct.v14i8.1856.

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Mining technique finds hidden patterns from the data stored in the repositories and turn it into useful information and knowledge. Most open source software development projects include an open bug repository in which users of the software can gain full access. Training data size for bug priority classification using SVM.In this paper, calculate the precision and recall of different features categories for each class. The bug report having status value NEW, UNCONFIRMED, ASSIGNED bugs are not included in our training .because the priority level of these classifications may not be authentic. A t

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Rijal, Jhalendra, and Sudan Gyawaly. "Characterizing Brown Marmorated Stink Bug Injury in Almond, a New Host Crop in California." Insects 9, no. 4 (2018): 126. http://dx.doi.org/10.3390/insects9040126.

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The brown marmorated stink bug, Halyomorpha halys (Stål), is an invasive species from Asia. This polyphagous, stink bug species has posed a serious production challenge in several crop species in the areas where established. The insect has spread to all the mainland states in the U.S. in about one and half decades after its first detection in Pennsylvania. The types of crops reported to have been infested by this stink bug have increased with its spread to new geographic locations. In this study, we report the first evidence of H. halys infestation in almond fruit in California. In Stanislaus

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Lewis, Cari D., Brenna A. Levine, Edward L. Vargo, Coby Schal, and Warren Booth. "Recent Detection of Multiple Populations of the Tropical Bed Bug (Hemiptera: Cimicidae) Exhibiting kdr-Associated Mutations in Hawaii." Journal of Medical Entomology 57, no. 4 (2020): 1077–81. http://dx.doi.org/10.1093/jme/tjaa022.

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Abstract In recent years, bed bugs have experienced a remarkable resurgence on a near global scale. While reports have primarily focused on the common bed bug, Cimex lectularius (L.), which has resurged largely in temperate regions, in tropical regions the tropical bed bug, Cimex hemipterus (F.) (Hemiptera: Cimicidae), has reemerged as well. Recent reports of C. hemipterus introductions to subtropical and temperate regions, outside of the species natural distribution, suggest the potential for establishment and further spread. Establishment may be aided by insecticide resistance mechanisms, su

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Zhihua Chen, Zhihua Chen, Xiaolin Ju Zhihua Chen, Haochen Wang Xiaolin Ju, and Xiang Chen Haochen Wang. "Hybrid Multiple Deep Learning Models to Boost Blocking Bug Prediction." 網際網路技術學刊 23, no. 5 (2022): 1099–107. http://dx.doi.org/10.53106/160792642022092305018.

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<p>A blocking bug (BB) is a severe bug that could prevent other bugs from being fixed in time and cost more effort to repair itself in software maintenance. Hence, early detection of BBs is essential to save time and labor costs. However, BBs only occupy a small proportion of all bugs during software life cycle, making it difficult for developers to identify these blocking relationships. This study proposes a novel blocking bug prediction approach based on the hybrid deep learning model, a combination of Bi-directional Long Short-Term Memory (Bi-LSTM) and Convolutional Neural Network (CN

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E., Manjunath K., Yogeen S. Honnavar, Rakesh Pritmani, and Sethuraman K. "Detection of duplicate and non-face images in the eRecruitment applications using machine learning techniques." IAES International Journal of Robotics and Automation (IJRA) 10, no. 2 (2021): 114. http://dx.doi.org/10.11591/ijra.v10i2.pp114-122.

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The objective of this work is to develop methodologies to detect, and report the noncompliant images with respect to indian space research organisation (ISRO) recruitment requirements. The recruitment software hosted at U. R. rao satellite centre (URSC) is responsible for handling recruitment activities of ISRO. Large number of online applications are received for each post advertised. In many cases, it is observed that the candidates are uploading either wrong or non-compliant images of the required documents. By non-compliant images, we mean images which do not have faces or there is not eno

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Rahman, Nawshad Muhammad Wahidur, Afzalunnessa Binte Lutfor, Sanya Tahmina Jhora, Mahmuda Yasmin, and Jalaluddin Ashraful Haq. "Detection of CTX-M gene in extended spectrum beta lactamase (ESBL) producing Escherichia coli and Klebsiella species of different hospitals." Bangladesh Journal of Medical Microbiology 4, no. 2 (2012): 28–31. http://dx.doi.org/10.3329/bjmm.v4i2.10829.

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A total of 200, non-duplicate ESBL producing strains (171 Escherichia coli and 29 Klebsiella spp.) from three tertiary care hospitals were detected using screening test & double disc synergy test. All isolates were screened for the detection of CTX-M type Extended spectrum Beta-lactamase (ESBL) using PCR. Among them 133 (66.5%) were positive for CTX-M type ESBLs which include 114 (66.66%) E.coli and 19 (65.51%) Klebsiella spp. This is the first report of identifying CTX-M gene in ESBL producing Escherichia coli and Klebsiella species of different hospitals.DOI: http://dx.doi.org/10.3329/bj

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Franco-Archundia, Sandra, Agustín Gonzaga-Segura, Alfredo Jiménez-Pérez, and Víctor Castrejón-Gómez. "Behavioral Response of Leptoglossus zonatus (Heteroptera: Coreidae) to Stimuli Based on Colors and its Aggregation Pheromone." Insects 9, no. 3 (2018): 91. http://dx.doi.org/10.3390/insects9030091.

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The leaf-footed bug Leptoglossus zonatus (Dallas) (Heteroptera: Coreidae) is an important pest in the Americas. However, no preference of colors, sexual behavior nor aggregation pheromone has been reported, which can be used for detection, monitoring, and control purposes. In the laboratory we tested the attractiveness of white, violet, blue, green, yellow, and orange color to nymphs and adults (mated and unmated) and found that most adults and nymphs were attracted to and remained longer on blue and green colored cards than the other colors tested. We found that couples may remain in copula ≈

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Walker, Samuel T. "Liquid Chromatographic Determination of Organic Nitrogenous Bases in Dosage Forms: A Progress Report." Journal of AOAC INTERNATIONAL 68, no. 3 (1985): 539–42. http://dx.doi.org/10.1093/jaoac/68.3.539.

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Abstract A liquid chromatographic (LC) method has been developed as a general procedure for the assay of the salts of organic nitrogenous bases in a variety of dosage forms. The method uses a nitrile-bonded reverse phase column, a methanol-0.003M ammonium acetate (90 + 10) mobile phase, and photometric detection at 254 nm. The sample is dissolved in the mobile phase and an aliquot is injected through a 20 μL injection loop. Average recovery values for duplicate assays were chlorpheniramine maleate injection 97.8%, chlorpheniramine maleate tablets 99.1%, cyclizine hydrochloride tablets 100.0%,

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Abram, Paul K., Elijah J. Talamas, Susanna Acheampong, Peter G. Mason, and Tara D. Gariepy. "First detection of the samurai wasp, Trissolcus japonicus (Ashmead) (Hymenoptera, Scelionidae), in Canada." Journal of Hymenoptera Research 68 (February 25, 2019): 29–36. http://dx.doi.org/10.3897/jhr.68.32203.

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We report the first detection of Trissolcusjaponicus, an exotic Asian egg parasitoid and the primary candidate for classical biological control of the invasive brown marmorated stink bug, Halyomorphahalys, in Canada. Twenty-eight Trissolcusjaponicus emerged from an H.halys egg mass from a site heavily infested by H.halys in Chilliwack, British Columbia, in 2018. This egg mass was deployed and retrieved as part of ongoing sentinel egg mass surveys for natural enemies of H.halys from 2017–2018 in coastal and interior British Columbia (total of 1,496 egg clusters at 16 sites). The identification

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Beatty, Norman L., Zoe S. White, Chanakya R. Bhosale, et al. "Anaphylactic Reactions Due to Triatoma protracta (Hemiptera, Reduviidae, Triatominae) and Invasion into a Home in Northern California, USA." Insects 12, no. 11 (2021): 1018. http://dx.doi.org/10.3390/insects12111018.

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Background: Triatoma protracta is a triatomine found naturally throughout many regions of California and has been shown to invade human dwellings and bite residents. A man living in Mendocino County, California, reported developing anaphylactic reactions due to the bite of an “unusual bug”, which he had found in his home for several years. Methods: We conducted environmental, entomological, and clinical investigations to examine the risk for kissing bug invasion, presence of Trypanosoma cruzi, and concerns for Chagas disease at this human dwelling with triatomine invasion. Results: Home assess

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Hofer, K. M., and M. S. Bullians. "Overview of exotic pest and disease notifications 2015-2017." New Zealand Plant Protection 70 (July 26, 2017): 316. http://dx.doi.org/10.30843/nzpp.2017.70.74.

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   Early detection of newly arrived exotic plant pests and diseases is critical to protect New Zealand’s environment and agriculture. For that purpose, the Ministry for Primary Industries (MPI) conducts active surveillance of numerous high risk organisms, such as fruit ies or gypsy moth, via speci c targeted surveillance programmes. In addition, MPI utilises passive surveillance to enable early detection and reporting of exotic pests and diseases. Members of the public, industry groups, plant health professionals, and diagnostic laboratories report detections of suspect

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Maddila, Chandra, Nachiappan Nagappan, Christian Bird, Georgios Gousios, and Arie van Deursen. "ConE: A Concurrent Edit Detection Tool for Large-scale Software Development." ACM Transactions on Software Engineering and Methodology 31, no. 2 (2022): 1–26. http://dx.doi.org/10.1145/3478019.

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Modern, complex software systems are being continuously extended and adjusted. The developers responsible for this may come from different teams or organizations, and may be distributed over the world. This may make it difficult to keep track of what other developers are doing, which may result in multiple developers concurrently editing the same code areas. This, in turn, may lead to hard-to-merge changes or even merge conflicts, logical bugs that are difficult to detect, duplication of work, and wasted developer productivity. To address this, we explore the extent of this problem in the pull

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Panteleeff, Dana DeVange, Grace John, Ruth Nduati, et al. "Rapid Method for Screening Dried Blood Samples on Filter Paper for Human Immunodeficiency Virus Type 1 DNA." Journal of Clinical Microbiology 37, no. 2 (1999): 350–53. http://dx.doi.org/10.1128/jcm.37.2.350-353.1999.

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PCR is a highly sensitive method for the detection of human immunodeficiency virus type 1 (HIV-1) nucleic acids in blood mononuclear cells and plasma. However, blood separation techniques require extensive laboratory support systems and are difficult when a limited volume of blood is available, which is often the case for infants. The use of blood samples stored on filter paper has many advantages for the detection of perinatal HIV-1 infection, but current methods require extraction and purification of target DNA prior to PCR amplification. We report a highly sensitive and rapid method for the

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Barras, Hélène, Alessandro Hering, Andrey Martynov, Pascal-Andreas Noti, Urs Germann, and Olivia Martius. "Experiences with >50,000 Crowdsourced Hail Reports in Switzerland." Bulletin of the American Meteorological Society 100, no. 8 (2019): 1429–40. http://dx.doi.org/10.1175/bams-d-18-0090.1.

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AbstractCrowdsourcing is an observational method that has gained increasing popularity in recent years. In hail research, crowdsourced reports bridge the gap between heuristically defined radar hail algorithms, which are automatic and spatially and temporally widespread, and hail sensors, which provide precise hail measurements at fewer locations. We report on experiences with and first results from a hail size reporting function in the app of the Swiss National Weather Service. App users can report the presence and size of hail by choosing a predefined size category. Since May 2015, the app h

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Otter, Jonathan A., Siddharth Mookerjee, Frances Davies, et al. "Detecting carbapenemase-producing Enterobacterales (CPE): an evaluation of an enhanced CPE infection control and screening programme in acute care." Journal of Antimicrobial Chemotherapy 75, no. 9 (2020): 2670–76. http://dx.doi.org/10.1093/jac/dkaa192.

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Abstract Objectives The transmission of carbapenemase-producing Enterobacterales (CPE) poses an increasing healthcare challenge. A range of infection prevention activities, including screening and contact precautions, are recommended by international and national guidelines. We evaluated the introduction of an enhanced screening programme in a multisite London hospital group. Methods In June 2015, an enhanced CPE policy was launched in response to a local rise in CPE detection. This increased infection prevention measures beyond the national recommendations, with enhanced admission screening,

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Khawaja, Aneela, Iffat Javed, Sohaila Mushtaq, Saeed Anwar, Faiqa Arshad, and Naseer Ahmad Raja. "Detection of mecA gene by latex agglutination and its molecular analysis by PCR in methicillin resistant staphylococcus aureus." Professional Medical Journal 27, no. 07 (2020): 1363–70. http://dx.doi.org/10.29309/tpmj/2020.27.07.3752.

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Antimicrobial resistance (AMR) is a devastating question that is threatening the health globally. The extensive and indiscriminative use of antibiotics has evolved a notorious resistance in Staphylococcus aureus. This resistance developed through possession of mecA gene, which codes for modified penicillin binding protein (PBP2a) and the emergent strain being labeled “methicillin resistant Staphylococcus aureus”. Conventional phenotypic techniques for detection of MRSA rely on standardization of cultural characteristics. The drawbacks of diagnostic error to report MRSA include: poor prognosis,

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Montero-Astúa, M., G. Saborío-R., C. Chacón-Díaz, et al. "First Report of Xylella fastidiosa in Nerium oleander in Costa Rica." Plant Disease 92, no. 8 (2008): 1249. http://dx.doi.org/10.1094/pdis-92-8-1249a.

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Oleander (Nerium oleander L.) shrubs presenting mottling, leaf tip and margin scorch, short internodes, defoliation, and branch dieback were observed at different localities in the Central Valley in Costa Rica. Severity of the symptoms ranged widely, and most plants showed both diseased and healthy branches. In severe cases, entire sections of the plant were defoliated. Symptoms resembled those described for oleander leaf scorch (OLS) caused by the bacterium Xylella fastidiosa in the United States (3). This bacterium has been reported in coffee and citrus plants in Costa Rica. Sixty plants fro

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Borodin, Alexey Evgenevich, and Irina Aleksandrovna Dudina. "Symbolic Execution Based Intra-Procedural Analysis for Search for Defects." Proceedings of the Institute for System Programming of the RAS 32, no. 6 (2020): 87–100. http://dx.doi.org/10.15514/ispras-2020-32(6)-7.

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Svace is a static analysis tool for bug detection in C/C++/Java source code. To analyze a program, Svace performs an intra-procedure analysis of individual functions, starting from the leaves of a call-graph and moving towards the roots, and uses summaries of previously analyzed procedures at call-cites. In this paper, we overview the approaches and techniques employed by Svace for the intra-procedural analysis. This phase is performed by an analyzer engine and an extensible set of detectors. The core engine employs a symbolic execution approach with state merging. It uses value numbering to r

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Bailey, Shannon Terrell, Belynda Hicks, Bin Zhu, et al. "SeqPlus sequencing methodology enables robust whole-genome sequencing, true variant detection, and novel genomic insights from archival esophageal carcinoma FFPE samples." Journal of Clinical Oncology 37, no. 15_suppl (2019): e13016-e13016. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.e13016.

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e13016 Background: Whole-genome sequencing (WGS) of formalin-fixed, paraffin-embedded (FFPE) samples could enable novel insights from archival sample collections, yet robust FFPE WGS is challenged by fragmented DNA, uneven genomic coverage & sequencing artifacts attributed to FFPE fixation. We report our proprietary extraction & library preparation methodology (SeqPlus) with high quality, uniform WGS sequencing performance comparable to that from fresh-frozen samples. Methods: We analyzed 20 paired esophageal carcinoma (EC) samples i.e., primary tumors & matched germline samples to

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Musila, Lillian, Cecilia Kyany’a, Rosslyn Maybank, Jason Stam, Valerie Oundo, and Willie Sang. "Detection of diverse carbapenem and multidrug resistance genes and high-risk strain types among carbapenem non-susceptible clinical isolates of target gram-negative bacteria in Kenya." PLOS ONE 16, no. 2 (2021): e0246937. http://dx.doi.org/10.1371/journal.pone.0246937.

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Carbapenem-resistant gram-negative bacteria are an increasingly significant clinical threat globally. This risk may be underestimated in Kenya as only four carbapenemase genes in three bacterial species have been described. The study aimed to understand the antibiotic resistance profiles, genes, sequence types, and distribution of carbapenem-resistant gram-negative bacteria from patients in six hospitals across five Kenyan counties by bacterial culture, antibiotic susceptibility testing, and whole-genome sequence analysis. Forty-eight, non-duplicate, carbapenem non-susceptible, clinical isolat

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Ackermann, Khalia, Jannah Baker, Malcolm Green, et al. "Computerized Clinical Decision Support Systems for the Early Detection of Sepsis Among Adult Inpatients: Scoping Review." Journal of Medical Internet Research 24, no. 2 (2022): e31083. http://dx.doi.org/10.2196/31083.

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Background Sepsis is a significant cause of morbidity and mortality worldwide. Early detection of sepsis followed promptly by treatment initiation improves patient outcomes and saves lives. Hospitals are increasingly using computerized clinical decision support (CCDS) systems for the rapid identification of adult patients with sepsis. Objective This scoping review aims to systematically describe studies reporting on the use and evaluation of CCDS systems for the early detection of adult inpatients with sepsis. Methods The protocol for this scoping review was previously published. A total of 10

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Matez-Bandera, Jose-Luis, David Fernandez-Chaves, Jose-Raul Ruiz-Sarmiento, Javier Monroy, Nicolai Petkov, and Javier Gonzalez-Jimenez. "LTC-Mapping, Enhancing Long-Term Consistency of Object-Oriented Semantic Maps in Robotics." Sensors 22, no. 14 (2022): 5308. http://dx.doi.org/10.3390/s22145308.

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This paper proposes LTC-Mapping, a method for building object-oriented semantic maps that remain consistent in the long-term operation of mobile robots. Among the different challenges that compromise this aim, LTC-Mapping focuses on two of the more relevant ones: preventing duplicate instances of objects (instance duplication) and handling dynamic scenes. The former refers to creating multiple instances of the same physical object in the map, usually as a consequence of partial views or occlusions. The latter deals with the typical assumption made by object-oriented mapping methods that the wo

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Ahmed, Ali, Maria Tanveer, Sunil Shrestha, et al. "Interventions and Impact of Pharmacist-Delivered Services for People Infected with COVID-19: A Systematic Review." Healthcare 10, no. 9 (2022): 1630. http://dx.doi.org/10.3390/healthcare10091630.

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Pharmacists are essential members of the healthcare team. The emergence of the novel coronavirus disease 2019 (COVID-19) pandemic has led pharmacists to undertake additional clinical roles. We aim to conduct a systematic review on the interventions and impact of pharmacist-delivered services in managing COVID-19 patients. We searched PubMed, Embase, Scopus, CINAHL plus, International Pharmaceutical Abstracts, and Web of Science from 1 December 2019 (the first case of COVID-19 emerged) to 13 January 2022 to retrieve the articles. Cochrane handbook and PRISMA guidelines were followed respectivel

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Opoku, P. "Establishing Accra Population-Based Cancer Registry." Journal of Global Oncology 4, Supplement 2 (2018): 66s. http://dx.doi.org/10.1200/jgo.18.64600.

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Background: The African Cancer Organization (ACO) seeks to establish Accra Population-Based Cancer Registry (ACR). The whole idea is to collect, store and analyze data on persons with cancer to provide complete, accurate and timely cancer report for interventional programs. Such information would guide us to monitor patient care, prioritize and allocate resources effectively, give understanding of the things we do not yet know, and also act as a driver for policy development for the urgent need of comprehensive cancer control in Ghana. Countries require cancer surveillance programs to collect

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Meier, A. L., U. Steiner, and L. M. Bachmann. "AB0427 OCCURRENCE OF NEUROPSYCHIATRIC MANIFESTATIONS IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS: RESULTS FROM THE SWISS LUPUS COHORT AND META-ANALYSIS OF THE PERTINENT LITERATURE." Annals of the Rheumatic Diseases 79, Suppl 1 (2020): 1512.1–1513. http://dx.doi.org/10.1136/annrheumdis-2020-eular.1062.

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Background:Systemic lupus erythematosus (SLE) is a systemic autoimmune disease, often presenting with neuropsychiatric manifestations. Reports on the frequency and patterns of these manifestations vary substantially and remain incompletely understood.Objectives:We examined neuropsychiatric manifestations in the prospective nationwide cohort of Swiss SLE (SSCS) patients and conducted a systematic literature review to contextualise our findings.Methods:We reviewed all patients included in the SSCS from 2007-2019 and classified severe neuropsychiatric manifestations. Searches were performed in re

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Md, Abdul Quadir, Dibyanshu Jaiswal, Jay Daftari, Sabireen Haneef, Celestine Iwendi, and Sanjiv Kumar Jain. "Efficient Dynamic Phishing Safeguard System Using Neural Boost Phishing Protection." Electronics 11, no. 19 (2022): 3133. http://dx.doi.org/10.3390/electronics11193133.

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The instances of privacy and security have reached the point where they cannot be ignored. There has been a rise in data breaches and fraud, particularly in banks, healthcare, and government sectors. In today’s world, many organizations offer their security specialists bug report programs that help them find flaws in their applications. The breach of data on its own does not necessarily constitute a threat or attack. Cyber-attacks allow cyberpunks to gain access to machines and networks and steal financial data and esoteric information as a result of a data breach. In this context, this paper

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Goley, Stephanie Michele, Sidonie Sakula-Barry, Ann Kelly, and Naomi Wright. "Investigating the use of ultrasonography for the antenatal diagnosis of structural congenital anomalies in low-income and middle-income countries: systematic review protocol." BMJ Paediatrics Open 3, no. 1 (2019): e000538. http://dx.doi.org/10.1136/bmjpo-2019-000538.

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IntroductionCongenital anomalies are the fifth leading cause of mortality in children under 5 years globally. The greatest burden is faced by those in developing countries, where over 95% of deaths occur. Many of these deaths may have been preventable through antenatal diagnosis and early intervention. This study aims to conduct a systematic review that investigates the use of antenatal ultrasound to diagnose congenital anomalies and improve the health outcomes of infants in low-income and middle-income countries (LMICs).Methods and analysisA systematic literature review will be conducted usin

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Van Wyk, Susanna S., Marriott Nliwasa, James A. Seddon, et al. "Case-Finding Strategies for Drug-Resistant Tuberculosis: Protocol for a Scoping Review." JMIR Research Protocols 11, no. 12 (2022): e40009. http://dx.doi.org/10.2196/40009.

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Background Transmission of drug-resistant tuberculosis (DR-TB) is ongoing. Finding individuals with DR-TB and initiating treatment as early as possible is important to improve patient clinical outcomes and to break the chain of transmission to control the pandemic. To our knowledge systematic reviews assessing effectiveness, cost-effectiveness, acceptability, and feasibility of different case-finding strategies for DR-TB to inform research, policy, and practice have not been conducted, and it is unknown whether enough research exists to conduct such reviews. It is unknown whether case-finding

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Tahir, M. Z., K. Reynaud, S. Thoumire, S. Chastant-Maillard, and M. Saint-Dizier. "121 EXPRESSION OF STEROID RECEPTORS IN THE CUMULUS - OOCYTE COMPLEX AROUND OVULATION IN THE BITCH." Reproduction, Fertility and Development 26, no. 1 (2014): 174. http://dx.doi.org/10.1071/rdv26n1ab121.

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In the bitch, oocytes are ovulated at an immature stage (prophase I) and resume meiosis in the oviduct, 3 to 4 days after ovulation while they are still surrounded by 2 to 3 layers of cumulus cells. Canine cumulus-oocyte complexes (COC) are exposed to high and changing plasma concentrations of 17β-oestradiol (E2) and progesterone (P4) during the periovulatory period. In order to explore whether oocyte maturation may be regulated by steroids in this species, the expression of E2 (ERα, ERβ) and P4 (nuclear: PR; membrane: PGRMC1, PGRMC2, mPRα, mPRβ, mPRγ) receptors was studied in COC at precise t

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