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Добірка наукової літератури з теми "DBMS Testing"

Автор: Grafiati

Опубліковано: 6 вересня 2023

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Статті в журналах з теми "DBMS Testing"

Wen, Shihao, Peng Jia, Pin Yang, and Chi Hu. "Squill: Testing DBMS with Correctness Feedback and Accurate Instantiation." Applied Sciences 13, no. 4 (February 15, 2023): 2519. http://dx.doi.org/10.3390/app13042519.

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Database Management Systems (DBMSs) are the core of management information systems. Thus, detecting security bugs or vulnerabilities of DBMSs is an essential task. In recent years, grey-box fuzzing has been adopted to detect DBMS bugs for its high effectiveness. However, the seed scheduling strategy of existing fuzzing techniques does not consider the seeds’ correctness, which is inefficient in finding vulnerabilities in DBMSs. Moreover, current tools cannot correctly generate SQL statements with nested structures, which limits their effectiveness. This paper proposes a fuzzing solution named Squill to address these challenges. First, we propose correctness-guided mutation to utilize the correctness of seeds as feedback to guide fuzzing. Second, Squill embeds semantics-aware instantiation to correctly fill semantics to SQL statements with nested structures by collecting the context information of AST nodes. We implemented Squill based on Squirrel and evaluated it on three popular DBMSs: MySQL, MariaDB, and OceanBase. In our experiment, Squill explored 29% more paths and found 3.4× more bugs than the existing tool. In total, Squill detected 30 bugs in MySQL, 27 in MariaDB, and 6 in OceanBase. Overall, 19 of the bugs are fixed with 9 CVEs assigned. The results show that Squill outperforms the previous fuzzer in terms of both code coverage and bug discovery.

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Lo, Eric, Carsten Binnig, Donald Kossmann, M. Tamer Özsu, and Wing-Kai Hon. "A framework for testing DBMS features." VLDB Journal 19, no. 2 (August 1, 2009): 203–30. http://dx.doi.org/10.1007/s00778-009-0157-y.

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Thüm, Thomas, Sandro Schulze, Mario Pukall, Gunter Saake, and Sebastian Günther. "Secure and Customizable Data Management for Automotive Systems: A Feasibility Study." ISRN Software Engineering 2012 (March 18, 2012): 1–7. http://dx.doi.org/10.5402/2012/424230.

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Custom tailor-made database management systems (DBMS) are an essential asset, especially for embedded systems. The continuously increasing amount of data in automotive systems and the growing network of embedded devices can profit from DBMS. Restrictions in terms of processors, memory, and storage require customizable DBMS that contain only the needed functionality. We present AutoDaMa, a customizable DBMS designed for automotive systems. With AutoDaMa, it is possible to generate tailor-made DBMS for different scenarios, for example, by restricting the storage size of the DBMS or adding security-related features such as asymmetric and symmetric encryption. We demonstrate the feasibility of our approach through applying different tailor-made DBMS versions derived from AutoDaMa in an automotive testing environment. Our experience is that AutoDaMa can dramatically reduce the development effort and can increase reliability using efficient reuse mechanisms.

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Bruno, N., S. Chaudhuri, and D. Thomas. "Generating Queries with Cardinality Constraints for DBMS Testing." IEEE Transactions on Knowledge and Data Engineering 18, no. 12 (December 2006): 1721–25. http://dx.doi.org/10.1109/tkde.2006.190.

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Sitnov, Vladimir E., Alexander I. Senchenko, and George A. Fatkin. "Archiving System Software for LIA-20." Vestnik NSU. Series: Information Technologies 18, no. 3 (2020): 69–80. http://dx.doi.org/10.25205/1818-7900-2020-18-3-69-80.

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The control system of the X-ray complex LIA-20 is based on the Tango Controls framework. Data archiving subsystem HDB++ was improved during the work for efficient storage of waveforms. PostgreSQL DBMS support as a storage was added. PostgreSQL extension “pguint” for unsigned numbers support was modified to support the binary transfer mode during this work. Performance testing of the modified “pguint” extension and the new DBMS interface was performed. This solution allowed to significantly increase the performance of HDB++, reduce the amount of data stored in the database, as well as remove restrictions on the size of the stored data.

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Győrödi, Cornelia A., Diana V. Dumşe-Burescu, Robert Ş. Győrödi, Doina R. Zmaranda, Livia Bandici, and Daniela E. Popescu. "Performance Impact of Optimization Methods on MySQL Document-Based and Relational Databases." Applied Sciences 11, no. 15 (July 23, 2021): 6794. http://dx.doi.org/10.3390/app11156794.

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Databases are an important part of today’s applications where large amounts of data need to be stored, processed, and accessed quickly. One of the important criteria when choosing to use a database technology is its data processing performance. In this paper, some methods for optimizing the database structure and queries were applied on two popular open-source database management systems: MySQL as a relational DBMS, and document-based MySQL as a non-relational DBMS. The main objective of this paper was to conduct a comparative analysis of the impact that the proposed optimization methods have on each specific DBMS when carrying out CRUD (CREATE, READ, UPDATE, DELETE) requests. To perform the analysis and performance evaluation of CRUD operations for different amounts of data, a case study testing architecture based on Java was developed and used to show how the databases’ proposed optimization methods can influence the performance of the application, and to highlight the differences in response time and complexity. The results obtained show the degree to which the proposed optimization methods contributed to the application’s performance improvement in the case of both databases; based on these, a detailed analysis and several conclusions are presented to support a decision for choosing a specific approach.

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Berski, Szymon, and Martyna Bilau. "Safety Mechanisms in Relational Database as Part of the IT System of the Enterprise." New Trends in Production Engineering 2, no. 2 (December 1, 2019): 12–23. http://dx.doi.org/10.2478/ntpe-2019-0068.

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Abstract The work examines the effectiveness of the replication mechanism of the X production company database. In order to extend the functionality of the computer database of the enterprise, a model of its resource flow was created and an intensional and extensional part was created for a test database based on real enterprise resources. The model has been simplified to 3-rd normal form. The implementation was done in the MySQL database system. Two different operating systems were selected for testing: Windows and Linux. The database management system (DBMS) is working under the GPL license. MySQL DBMS offers many security mechanisms, and to secure the database, system of users permissions to objects have been selected and also an encryption of access passwords for users and connections to servers was used. A replication engine based on the binary log and the model “main server and backup server” was used to create a copy of the enterprise data.

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Darma Kotama, I. Nyoman, Made Sudarma, and I. Made Arsa Suyadnya. "Rancang Bangun Sistem Informasi Manajemen Konferensi Ilmiah Berbasis Web." Jurnal SPEKTRUM 4, no. 2 (January 8, 2018): 36. http://dx.doi.org/10.24843/spektrum.2017.v04.i02.p05.

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This paper is projecting website system built on top of PHP Framework Laravel 5.2 and MySQL DBMS which contains 6 modules of scientific conference management needs, Master Conference, User Management, Submission, Website Management, Schedule, and Post Conference. From the development and testing system with Black Box method concluded that the system is running well and feasible to be applied to the management of the conference in Electrical Engineering Program Faculty of Engineering Udayana University.

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He, Haochen, Erci Xu, Shanshan Li, Zhouyang Jia, Si Zheng, Yue Yu, Jun Ma, and Xiangke Liao. "When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations." Proceedings of the VLDB Endowment 16, no. 7 (March 2023): 1712–25. http://dx.doi.org/10.14778/3587136.3587145.

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NVMe SSD hugely boosts the I/O speed, with up to GB/s throughput and microsecond-level latency. Unfortunately, DBMS users can often find their high-performanced storage devices tend to deliver less-than-expected or even worse performance when compared to their traditional peers. While many works focus on proposing new DBMS designs to fully exploit NVMe SSDs, few systematically study the symptoms, root causes and possible detection methods of such performance mismatches on existing databases. In this paper, we start with an empirical study where we systematically expose and analyze the performance mismatches on six popular databases via controlled configuration tuning. From the study, we find that all six databases can suffer from performance mismatches. Moreover, we conclude that the root causes can be categorized as databases' unawareness of new storage devices characteristics in I/O size, I/O parallelism and I/O sequentiality. We report 17 mismatches to developers and 15 are confirmed. Additionally, we realize testing all configuration knobs yields low efficiency. Therefore, we propose a fast performance mismatch detection framework and evaluation shows that our framework brings two orders of magnitude speedup than baseline without sacrificing effectiveness.

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Indriyono, Bonifacius Vicky, and Zudha Pratama. "Generating SQL Command Syntax Using MySQL Based on Typing Command Sentence." Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi 6, no. 1 (January 31, 2021): 1–7. http://dx.doi.org/10.25139/inform.v6i1.3305.

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Information retrieval system is a system that is widely used to retrieve information. This research will discuss how the system finds back the information stored in database tables. Tables in the database are arranged to store all forms of data entered by database users so that later the stored data can be used again. Re-accessing the database's information must go through a mechanism known as a database management system (DBMS). One of the most widely used DBMS is MySQL. By using a DBMS, information and data can be manipulated according to user needs. Data manipulation in the database is done in a special language, namely SQL (Structure Query Language). Mastery of SQL commands is an obligation for database users so that the manipulated data can produce the required information. However, many database users still do not understand how the actual SQL command syntax manages and manipulates data into information. This is, of course, very risky if the solution is not immediately sought because it will hinder the process of retrieving information from the data stored in the database. For this problem to be resolved, it is necessary to design a system that can help database users translate their wishes into SQL command syntax. This paper will discuss how a command in Indonesian can be translated into SQL command syntax. The method used to solve this research problem is rule-based. There are two stages in the main process: the pre-processing stage, which consists of a word tokenization process, and a translation stage, including a keyword grouping process. This keyword grouping process consists of the keyword group analysis phase, table and column analysis, identification of SQL commands, and mapping of SQL commands. From all stages that have been passed and testing of 7 scenarios with ten (10) commands for each scenario, the accuracy is 81.42%. The inaccuracy in the testing process is more a problem of displaying data from two or more tables, for example, using the join table command. This problem can be addressed by adding new rules for the use of table joins.

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Більше джерел

Дисертації з теми "DBMS Testing"

Werre, Timothy J. Diehl Barry A. "The activation and testing of the network CODASYL-DML interface of the M²DBMS using the EWIR database /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA311465.

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Blume, Josefine Andrea [Verfasser], and Ulrich [Akademischer Betreuer] Bogdahn. "Can intraoperative clinical testing predict the effects of the permanent DBS electrode in the subthalamic nucleus? / Josefine Andrea Blume ; Betreuer: Ulrich Bogdahn." Regensburg : Universitätsbibliothek Regensburg, 2017. http://d-nb.info/112890277X/34.

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Soydemir, Seyma Nur. "Assessing the Behaviour of Service Applications in the Presence of Poor Quality Data." Master's thesis, 2016. http://hdl.handle.net/10316/99913.

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Dissertação de Mestrado em Engenharia Informática apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.
As aplicações baseadas em serviços constituem a base de muitas organizações, devido à sua aptidão para suportar as mais variadas tarefas que contribuem para o funcionamento da organização. Por esta razão, a confiabilidade das aplicações baseadas em serviços afectam directamente o sucesso da organização, e podem causar danos financeiros e de reputação em caso de avaria. As aplicações baseadas em serviços normalmente recorrem a sistemas de bases de dados para fornecer o seu serviço. Com o envelhecimento do sistema, erro humano e falhas ambientais, entre outros, os dados armazenados estão susceptíveis à perda de qualidade, e a partir daí ficando incorrectos. Um problema potencialmente grave consiste no uso dos dados pelas aplicações baseadas em serviços sem que estes tenham sido verificados, o que pode causar avarias capazes de afectar a própria organização. Atualmente, os sistemas de gestão de bases e dados disponibilizam várias ferramentas que ajudam a garantir a qualidade dos dados, ao nível da base de dados, no entanto, uma aplicação baseada em serviços que seja bem desenvolvida deve ser resistente independentemente dos componentes de que faz uso. Durante esta tese, uma abordagem que permite a avaliação do comportamento de uma aplicação baseada em serviços sob o efeito de dados com baixa qualidade foi desenvolvida. A abordagem consiste em interceptar os dados que vêm da base de dados para a aplicação, e modificar esses dados de acordo com uma mutação, que é escolhida a partir de uma lista de mutações que representam problemas de qualidade de dados reais. Uma ferramenta que implementa esta abordagem foi desenvolvida, e, de seguida, foram efectuadas experiências que resultaram na descoberta de vários bugs de software numa famosa aplicação de código livre, a par de uma classificação do seu comportamento.
Service applications constitute the core of many organizations, due to their aptitude to support the most varied tasks that contribute to the operation of the organization. For this reason, the dependability of service applications directly affect the success of the organization, and can cause financial and reputation damages in case of failure. Service applications often resort to database systems to fulfill their purpose. With the aging of the system, human errors and environmental faults, among others, the stored data is susceptible to the loss of quality, thereafter becoming incorrect. A potentially serious problem occurs when this data is used by the service applications without previous verification, which can cause business-damaging failures. Nowadays, database management systems provide several tools that help ensure data quality, at the database-level, however, a well-designed service application must be robust independently of the quality of the data that it receives. During this thesis, an approach has been developed to allow the evaluation of the behaviour of a service application under the presence of poor data quality. The approach consists in intercepting the data coming from the database to the service application, and modifying it according to a type-specific mutation, which is chosen from a list of mutations that represent real data quality problems. An usable tool that implements the proposed approach was developed, and experiments were conducted, which resulted in the discovery of several software bugs in a well-known open-source application, along with a classification of its behaviour.

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Rajkumar, S. "Enhancing Coverage and Robustness of Database Generators." Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5528.

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Generating synthetic databases that capture essential data characteristics of client databases is a common requirement for enterprise database vendors. This need stems from a variety of use-cases, such as application testing and assessing performance impacts of planned engine upgrades. A rich body of literature exists in this area, spanning from the early techniques that simply generated data ab-initio to the contemporary ones that use a predefined client query workload to guide the data generation. In the latter category, the aim specifically is to ensure volumetric similarity -- that is, assuming a common choice of query execution plans at the client and vendor sites, the output row cardinalities of individual operators in these plans are similar in the original and synthetic databases. Hydra is a recently proposed data regeneration framework that provides volumetric similarity. In addition, it also provides a mechanism to generate data dynamically during query execution, using a minuscule database summary. Notwithstanding its desirable characteristics, Hydra has the following critical limitations: (a) limited scope of SQL operators in the input query workload, (b) poor scalability with respect to the number of queries in the input workload, and (c) poor volumetric similarity on unseen queries. The data generation algorithm internally uses a linear programming (LP) solver that throttles the workload scalability. This not only puts a threshold on the training (seen) workload size but also reduces the accuracy for test (unseen) queries. Robustness towards test queries is further adversely affected by design choices such as a lack of preference among candidate synthetic databases, and artificial skew in the generated data. In this work, we present an enhanced version of Hydra, called High-Fidelity Hydra (HF-Hydra), which attempts to address the above limitations. To start with, we expand the SQL operator coverage to also include the LIKE operator, and, in certain restricted settings, projection-based operators such as GROUP BY and DISTINCT. To sidestep the challenge of workload scalability, HF-Hydra outputs not one, but a suite of database summaries such that they collectively cover the entire input workload. The division of the workload into the associated sub-workloads is governed by heuristics that aim to balance robustness with LP solvability. For generating richer database summaries, HF-Hydra additionally exploits metadata statistics maintained by the database engine. Further, the database query optimizer is leveraged to make the choice among the various candidate databases. The data generation is also augmented to provide greater diversity in the represented values. Finally, when a test query is fired, HF-Hydra directs it to the database summary that is expected to provide the highest volumetric similarity. We have experimentally evaluated HF-Hydra on a customized set of queries based on the TPC-DS decision-support benchmark framework. We first evaluated the specialized case where each training query has its own summary, and here HF-Hydra achieves perfect volumetric similarity. Further, each summary construction took just under a second and the summary sizes were just in the order of a few tens of kilobytes. Also, our dynamic generation technique produced gigabytes of data in just a few seconds. For the general setting of a limited set of summaries representing the training query workload, the data generated by HF-Hydra was compared with that from Hydra. We observed that HF-Hydra delivers more than forty percent better accuracy for outputs from filter nodes in the plans, while also achieving an improvement of about twenty percent with regard to join nodes. Further, the degradation in volumetric similarity is minor as compared to the one-summary scenario, while the summary production is significantly more efficient due to reduced overheads on the LP solver. In summary, HF-Hydra takes a substantive step forward with regard to creating expressive, robust, and scalable data regeneration frameworks with immediate relevance to testing deployments.

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Книги з теми "DBMS Testing"

R, Moreau Dennis, Yen Lin, and United States. National Aeronautics and Space Administration., eds. USL/DBMS NASA/PC R&D project system testing standards. Lafayette, La: University of Southwestern Louisiana, Computer Science Dept., 1989.

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Werre, Timothy J. The activation and testing of the network CODASYL-DML interface of the M²DBMS using the EWIR database. Monterey, Calif: Naval Postgraduate School, 1996.

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Werre, Timothy J. The activation and testing of the network CODASYL-DML interface of the M²DBMS using the EWIR database. Monterey, Calif: Naval Postgraduate School, 1996.

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Bodes, Elmarie. Identification and quantitation of DNA adducts derived from DBPs. Denver, CO: Awwa Research Foundation, 2003.

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Glannon, Walter. Psychiatric Neuroethics I. Edited by John Z. Sadler, K. W. M. Fulford, and Werdie (C W. ). van Staden. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780198732372.013.30.

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Severe psychiatric disorders may be resistant to conventional pharmacological and psychotherapeutic treatments. Invasive interventions such as deep-brain stimulation (DBS) and neurosurgical ablation (lesioning) can modulate dysfunctional neural circuits implicated in these disorders. Yet these two forms of psychiatric neurosurgery are still experimental and investigational and thus their safety and efficacy have yet to be established. This chapter is an examination and discussion of the main ethical issues surrounding the experimental use of DBS and lesioning for treatment-refractory psychiatric disorders. I address questions regarding research subjects’ exposure to risk and informed consent to be enrolled in clinical trials testing these techniques for major depression and obsessive-compulsive disorder. These questions include whether or to what extent the therapeutic misconception influences decisions to enroll in these trials. I then explore similar questions about the use of DBS for schizophrenia and anorexia nervosa. Finally, I discuss the obligations of researchers conducting these studies to research subjects.

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Hans, Steiner, Daniels Whitney, Kelly Michael, and Stadler Christina. Comprehensive and Integrated Treatment of Disruptive Behavior Disorders. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190265458.003.0005.

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This chapter maps evidence-based interventions on the biopsychosocial model of causation suggested by the current evidence. Medications and biological treatments are still second-line interventions, which should be considered only if there is insufficient progress with psychological and social-familial treatments. There is very little progress in the past decade in testing medication interventions. New findings from neuroscience suggest another subtype of disruptive behavior disorders (DBDs), which holds considerable promise to improve outcomes in this treatment category. Psychological treatments are best supported by the evidence, especially when delivered in manualized form with a high degree of treatment fidelity. Familial and community-based interventions are also well supported, especially in complex, severe and chronic cases. There is a dearth of intervention studies targeting the different phenotypes of antisocial and aggressive behavior and studies of integrated treatment However, many studies are now available that approach treatment from a medical evidence–based rather than criminological perspective.

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Частини книг з теми "DBMS Testing"

Quraishi, R., R. Jain, and A. Ambekar. "Dried Blood Spots for Testing Drugs of Misuse." In Detection of Drug Misuse: Biomarkers, Analytical Advances and Interpretation, 125–46. The Royal Society of Chemistry, 2017. http://dx.doi.org/10.1039/9781782621577-00125.

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Testing of drugs of abuse (DOAs) in blood samples is fraught with problems related to instability and half-lives. This calls for alternative sampling methods. Using dried blood spots (DBSs) for this purpose appears to be a promising approach. DBS techniques are in regular use to screen new-borns for metabolic disorders, in epidemiological studies and in toxicology. DBSs being used to detect the presence of DOAs is now increasingly being recognised since the development of sensitive detection techniques. The present chapter provides an overview of the use of DBS sampling methods for testing of DOAs, including DBS sample collection, storage and transportation. The techniques involved and the factors that may influence the accuracy and reproducibility of the DBS methods for the determination of DOAs are presented. The stability of DOAs in DBSs is also discussed and the advantages and disadvantages of DBSs for drug testing purposes are considered.

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Holtzheimer, Paul E., and Helen Mayberg. "Subcallosal cingulate deep brain stimulation for treatment-resistant depression." In Landmark Papers in Psychiatry, edited by Elizabeth Ryznar, Aderonke B. Pederson, Mark A. Reinecke, and John G. Csernansky, 311–26. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198836506.003.0019.

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Deep brain stimulation (DBS) of the subcallosal cingulate cortex (SCC) has potential as a therapeutic intervention for patients with severe treatment-resistant depression (TRD). This chapter reviews the evolution of the research support for SCC DBS. It begins with a key publication that posited a putative neural circuit hypothesis for depression and TRD; this line of research culminated in identification of the SCC as a key node involved in the antidepressant response to somatic interventions. The clinical testing of SCC DBS is then reviewed, from the first proof-of-concept study up to a large, multi-site, randomized clinical trial. The next steps in SCC DBS research are then highlighted via a focus on two papers that describe the development and early testing of a circuit-based, imaging-guided approach to SCC DBS for TRD.

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Kola, Sushma, and Anhar Hassan. "Issues to Consider When Mild Cognitive Impairment Is Revealed in Preoperative Screening." In Deep Brain Stimulation, edited by Laura S. Surillo Dahdah, Padraig O’Suilleabhain, Hrishikesh Dadhich, Mazen Elkurd, Shilpa Chitnis, and Richard B. Dewey, 65–68. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190647209.003.0012.

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A 72-year-old man with Parkinson disease of 7 years duration, multifactorial gait disorder, and minor memory complaints underwent deep brain stimulation (DBS) evaluation to treat motor fluctuations and dyskinesia. Neuropsychometric evaluation revealed multidomain mild cognitive impairment, which was stable to improved on repeat testing 6 months later. He underwent bilateral subthalamic nucleus DBS with improvement in dyskinesia, and residual motor fluctuations were medically managed. He denied postoperative cognitive changes, although repeat neuropsychometric evaluation 9 months later showed decline in cognition. The patient moved to an assisted living facility shortly afterward because of progressive gait disability. One year later, he developed florid Parkinson disease psychosis, with partial improvement after cessation of entacapone. We discuss the rationale for the assessment of mild cognitive impairment before DBS, DBS target selection, risk factors associated with postoperative cognitive decline, and strategies to minimize this.

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Shukla, Aparna Wagle, and Pamela R. Zeilman. "Bilateral Globus Pallidus Deep Brain Stimulation for Dystonia and Dystonic Tremor in Spinocerebellar Ataxia 17." In Deep Brain Stimulation, edited by Shilpa Chitnis, Pravin Khemani, and Michael S. Okun, 223–28. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190647209.003.0042.

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Spinocerebellar ataxia 17 (SCA17) is a rare form of autosomal dominant cerebellar ataxia. SCA17 results from trinucleotide repeat expansions and has no effective symptomatic treatments to date. This chapter describes a case of SCA17 with dystonic symptoms that presented during adolescence. Symptoms were generalized in distribution and were accompanied with a dystonic tremor of the arms. Because many medication trials did not alleviate the patient’s symptoms, he underwent bilateral globus pallidus interna (GPi) deep brain stimulation (DBS) surgery. Several DBS programming sessions were performed. Dystonia and dystonic tremor were controlled with the settings adjusted at high pulse widths and low frequencies. Furthermore, the cyclic mode of stimulation was employed to mitigate the capsular side effects. Two years after DBS surgery, the patient presented with cerebellar ataxia that prompted an extensive workup, including genetic testing and revision of his diagnosis from generalized dystonia to a dystonia syndrome. The patient continues to endorse symptomatic benefits with DBS for dystonia and dystonic tremor 11 years after surgery, despite a diagnosis of dystonia syndrome. The current case of SCA17 cerebellar ataxia indicates that bilateral GPi DBS is a potential option for the long-term symptomatic treatment of dystonia and tremor symptoms manifesting as a part of a clinical syndrome.

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Hinkle, Jared, Ankur Butala, Valeriy Parfenov, Kelly A. Mills, and Zoltan Mari. "Genetic Mutations and Deep Brain Stimulation." In Deep Brain Stimulation, edited by Laura S. Surillo Dahdah, Padraig O’Suilleabhain, Hrishikesh Dadhich, Mazen Elkurd, Shilpa Chitnis, and Richard B. Dewey, 59–64. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780190647209.003.0011.

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Parkinson disease (PD) is a neurodegenerative disorder characterized by rest tremor, rigidity, bradykinesia, and postural instability. While most cases of PD are sporadic in nature, cases secondary to genetic mutations have been identified. These are typically monogenic and often present as early-onset or juvenile-onset PD. While rare, individuals with PD may harbor multiple pathogenic variants in PD-linked genes, potentially leading to more severe presentations. This chapter reviews available data regarding deep brain stimulation (DBS) targets and DBS outcomes in cases that are genetically proved to be PD. We report a patient with juvenile-onset PD whose course featured severe peak-dose dyskinesias and generalized off dystonias. Genetic testing supported a rare diagnosis of digenic PD, with homogenous deletions in PRKN (Parkin) and a single transition in PARK6 (PINK1). Bilateral DBS electrodes were implanted into the globus pallidus pars interna (GPi), leading to significant amelioration of both off and on symptoms.

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Matthews, Keith, and David Christmas. "Neurosurgery for psychiatric disorders." In New Oxford Textbook of Psychiatry, 1266–71. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199696758.003.0163.

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Despite its chequered past, modern NMD bears little similarity to historical freehand procedures. Advances in neuroimaging mean that anatomical substrates for depression and OCD are being elucidated. Ablative procedures such as ACAPS and ACING are unlikely to undergo randomized controlled trials but prospective clinical audit suggests that such procedures may offer improvement to selected patients with treatment-refractory depression and OCD. Interventions such as VNS and DBS offer the possibility of double-blind testing but as yet there is insufficient evidence to suggest that such procedures offer greater effectiveness.

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Shahid, Imran, and Qaiser Jabeen. "Consensus-based Approaches for Hepatitis C Screening and Diagnosis in General and Vulnerable Populations." In Hepatitis C Virus-Host Interactions and Therapeutics: Current Insights and Future Perspectives, 72–111. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815123432123010007.

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Hepatitis C screening and diagnosis are both pre-requisite to predicting infection endemicity, transmission risks and identifying vulnerable hepatitis C infected populations in highly endemic areas of the infection prevalence. It is also pivotal to select optimal treatment choices and their impact, including cost and access to care, especially in resource-constrained areas in an era of all oral interferon-free direct-acting antivirals. Furthermore, hepatitis C screening is also very crucial to “find the missing millions” to achieve the hepatitis C elimination goal by 2030. It seems only possible by implementing new screening and diagnostic approaches like RNA point-of-care (RNA POC) testing, rapid diagnostic tests (RDTs), and dried blood spot (DBS) sample testing, especially in remote communities having poor health infrastructure and where phlebotomies are a major concern for samples collection from patients who inject drugs (PWIDs). In addition to that, it is also very much required to bring HCV diagnostic facilities to decentralized healthcare centers which provide care for people at high risk or opportunistic infection of hepatitis C transmission by sexual contacts (e.g., men who have sex with men (MSM), sex workers, current or former IDUs, people who are incarcerated, and people in drug harm reduction centers). In this book chapter, we will discuss consensus-based recommendations and approaches for hepatitis C screening and diagnosis in general and vulnerable populations with their potential significance for the identification and diagnosis of high-risk individuals of hepatitis C transmission. We will also emphasize the importance of initial HCV screening before the start of HCV treatment.

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Тези доповідей конференцій з теми "DBMS Testing"

Siu-Hin Tang, Matthew, T. H. Tse, and Zhi Quan Zhou. "A Disjoint-Partitioning Approach to Enhancing Metamorphic Testing of DBMS." In 2022 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE, 2022. http://dx.doi.org/10.1109/issrew55968.2022.00056.

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Ghiassi, M., M. A. Ketabchi, and K. J. Sadeghi. "An integrated software testing system based on an object-oriented DBMS." In Proceedings of the Twenty-Fifth Hawaii International Conference on System Sciences. IEEE, 1992. http://dx.doi.org/10.1109/hicss.1992.183282.

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Møller, E., and T. Rasmussen. "Testing Joints of Air and Vapour Barriers, Do We Use Relevant Testing Methods?" In XV International Conference on Durability of Building Materials and Components. CIMNE, 2020. http://dx.doi.org/10.23967/dbmc.2020.135.

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Gallias, J., B. Fiorio, Y. Tong, and M. Benaissa. "Influence of Drying on Accelerated Carbonation Testing of Concrete." In XV International Conference on Durability of Building Materials and Components. CIMNE, 2020. http://dx.doi.org/10.23967/dbmc.2020.080.

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Huang, Yu. "EDT dynamic bandwidth management (DBM) in SoC testing." In 2016 29th IEEE International System-on-Chip Conference (SOCC). IEEE, 2016. http://dx.doi.org/10.1109/socc.2016.7905435.

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Rüther, P., K. Gradeci, and M. Sletnes. "Predominant Climate Exposure Strains - Thermal Degradation Testing Compared to Historical and Future Climate Scenarios." In XV International Conference on Durability of Building Materials and Components. CIMNE, 2020. http://dx.doi.org/10.23967/dbmc.2020.226.

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El-Bagory, Tarek M. A. A., Maher Y. A. Younan, and Ibrahim M. Alarifi. "Failure Analysis of Ring Hoop Tension Test (RHTT) Specimen Under Different Loading Conditions." In ASME 2018 Pressure Vessels and Piping Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/pvp2018-84198.

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The thermo-mechanical history during manufacturing of plastic pipes affects their resulting material mechanical behavior. Therefore, it is necessary to demonstrate a study of the mechanical behavior of ring tensile test specimens cut from pipe to obtain proper design data during evaluations of the final product from the polymeric pipe material. Ring hoop tension test (RHTT) is one of the most important methods that can be used to measure transverse tensile properties accurately for pressure pipes. Two types of tensile ring specimens are tested; single ring hoop tensile test specimen with one configuration of Dumb-bell-shaped (DBS) specimen in the transverse direction of the pipe ring specimen and double ring hoop tensile test with two configurations of DBS cut in the collinear direction from the pipe ring specimen. RHTT specimens are cut from the pipe in circumferential (transverse) directions with similar dimensions. The material of the investigated pipe is high-density polyethylene (HDPE), which is commonly used in natural gas piping systems. The pipe has internal rated pressure Pi = 1.6 MPa, standard dimension ratio, SDR = 11 and external diameter, Do = 90±0.5mm. All the dimensions RHTT specimens are taken according to ASTM D 2290-12 and ASTM D 638-10 standards. The ring hoop tensile tests are conducted on specimens cut out from the pipe with thickness 9.5±0.2 mm at different crosshead speeds (VC.H = 10–1000 mm/min), and loading angle, θ equal 0° at ambient environmental temperature, Ta = 20 °C to investigate the mechanical properties of RHTT specimens. The results are compared with those obtained for DBS specimens taken along the axial pipe direction [1]. This shows the effect of DBS specimen orientation (longitudinal and circumferential) on the mechanical properties of HDPE pipe material at different crosshead speeds. The tensile testing fixture is designed specially on specified design criteria in order to test the RHTT specimen in the transverse direction. The main purpose of the design of test fixture is that it prevents the bending effect and stress concentration due to rotation of half disks during the tensile test. In order to avoid this rotation, the half disks are fixed, and their sharp ends are smoothed (rounded). The present experimental work reveals that the crosshead speeds, specimen orientation of DBS and configuration of DBS for RHTT specimens have a significant effect on the resulting mechanical behavior of HDPE pipe material.

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Reynoso, G., P. Marti´nez, and R. Reyes. "Interfacial Energy and Micelle Conditions of Ternary Mixtures for Improved Heat Transfer." In ASME 2005 Summer Heat Transfer Conference collocated with the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems. ASMEDC, 2005. http://dx.doi.org/10.1115/ht2005-72571.

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The search for suitable mixtures as boiling fluids leads to the development of ternary liquid mixtures that could handle even higher heat fluxes than binary mixtures through the formation of stable bubble-micelles departing from the heater’s surface. The amount of experimental work for testing the combinations is reduced using the interfacial tension prediction capabilities of simulation software, although it is not possible to predict singularities in the interfacial tension behavior of the mixtures. The ethanol aqueous mixture shows a singularity in its interfacial tension value at 16% ethanol by weight. In this work was combined with glycols for enhancing boiling heat transfer by decreasing the mixture interfacial tension. Also, the effect of the surfactants Dodecyl Benzene Sodium Sulfonate (DBSS) and Sodium Lauryl Sulfonate (SLS) in the mixture interfacial tension was studied. The measurements of sessile drop contact angles of mixtures with added surfactant allowed finding the singularities in the surface tension values that are related to critical micelle concentrations and the increment in boiling heat transfer. The propilenglycol-ethanol-water mixture produced the lowest values of contact angles, while for the etilenglycol-ethanol-water mixtures no such reduction was obtained with the same amount of the glycol. The use of DBSS and SLS at their critical micelle concentration decreased further the interfacial tension of the propilenglycol ternary mixture to generate a mixture that could improve the convective heat transfer coefficient.

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Damiano, Nicholas W., Chenming Zhou, and Bruce Whisner. "Considerations for Communications Systems in Underground Refuge Alternatives." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87952.

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In 2008, the Mine Safety and Health Administration (MSHA) published a final rule on Refuge Alternatives (RAs) for Underground Coal Mines. The rule states that RAs shall be capable of sustaining trapped miners for 96 hours and that RAs can also be used to facilitate escape by sustaining trapped miners until they receive communications regarding escape options. As of 2014, there were three types of coal mine RAs manufactured by 10 different companies and at least 13 different communications systems approved for use underground. However, there is no specific guidance on how to determine if such a wide variety of systems will facilitate successful communication in an emergency. Examples in this study detail one representative example of each of the three types of RAs. Each example RA was tested underground in an experimental coal mine by researchers from the National Institute for Occupational Safety and Health (NIOSH). The purpose of the testing was to determine a representative signal attenuation caused by a specific RA’s wall material and entrance door. For each RA type, the signal loss was investigated using comparative measurements. Test results showed an average difference of 3 decibel milliwatts (dBm) for a tent type RA, 15 dBm for a metal RA and 14 dBm for a Built-in-Place RA for a frequency range of 150 to 3000 MHz. These results can be used in calculating the available link budget for a communication system to determine if a signal will reach the inside of the RA.

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Aerne, Nick, Taylor J. Rawlings, and John P. Parmigiani. "Adhesive Properties Subject to Temperature Testing for Cohesive Zone Modeling." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70626.

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The growth of lightweight components and need for non-destructive fastening techniques leads to the use of adhesives in many industries. Modeling the behavior of adhesives in fastening joints can help in the design process to make an optimized joint, with minimal waste. However, in available material properties provided by manufactures of adhesives there is a gap in what is sufficient to accurately model and predict the behavior of real-world adhesive conditions. An adhesive joint may be loaded in mode I, mode II, mode III, or a combination of these in service. In components with outdoor application the ambient temperature outside in many regions can vary to below freezing to over 40 °C. The environmental conditions at these temperatures may influence the adhesive material properties. This body of research presents the results of adhesive properties subject to temperature testing. The needed material properties to compose an accurate model have been shown to be the mode I cohesive strength, mode I cohesive toughness, mode II cohesive strength, and mode II cohesive toughness. These properties can be measured with a test specimen designed to isolate that loading mode and condition. The specimens used are the Dog Bone Tensile Specimen (DBTS), the Double Cantilever Beam (DCB), Shear Loaded Dual Cantilever Beam (SLDCB), and Double Lap Shear (DLS). The effect of temperature will be tested by testing each specimen at −30°C, 20°C, and 45°C. Triplicates of each specimen at the respective temperature were tested. These results will be used in a cohesive zone model that will be validated with additional testing. The results from the two tested adhesives, Plexus MA832 and Pliogrip 7779/220, indicate these temperature conditions can change the cohesive strength in mode I by −60 to −40 % and mode II by −13 to 2% when at high temperatures (HT). The cohesive toughness in mode I by −40 to −20% and mode II by −40 to −2% when at high temperatures. The cohesive strength in mode I by −50 to 15% and mode II by 8% to 60% when at low temperatures (LT). The cohesive toughness in mode I by −70 to −20% and mode II by 30 to 60% when at low temperatures. As compared with those tested at room temperature (RT). The ranges here represent the response for both adhesives.

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Звіти організацій з теми "DBMS Testing"

Arhin, Stephen, Babin Manandhar, Kevin Obike, and Melissa Anderson. Impact of Dedicated Bus Lanes on Intersection Operations and Travel Time Model Development. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2040.

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Over the years, public transit agencies have been trying to improve their operations by continuously evaluating best practices to better serve patrons. Washington Metropolitan Area Transit Authority (WMATA) oversees the transit bus operations in the Washington Metropolitan Area (District of Columbia, some parts of Maryland and Virginia). One practice attempted by WMATA to improve bus travel time and transit reliability has been the implementation of designated bus lanes (DBLs). The District Department of Transportation (DDOT) implemented a bus priority program on selected corridors in the District of Columbia leading to the installation of red-painted DBLs on corridors of H Street, NW, and I Street, NW. This study evaluates the impacts on the performance of transit buses along with the general traffic performance at intersections on corridors with DBLs installed in Washington, DC by using a “before” and “after” approach. The team utilized non-intrusive video data to perform vehicular turning movement counts to assess the traffic flow and delays (measures of effectiveness) with a traffic simulation software. Furthermore, the team analyzed the Automatic Vehicle Locator (AVL) data provided by WMATA for buses operating on the study segments to evaluate bus travel time. The statistical analysis showed that the vehicles traveling on H Street and I Street (NW) experienced significantly lower delays during both AM (7:00–9:30 AM) and PM (4:00–6:30 PM) peak hours after the installation of bus lanes. The approximation error metrics (normalized squared errors) for the testing dataset was 0.97, indicating that the model was predicting bus travel times based on unknown data with great accuracy. WMATA can apply this research to other segments with busy bus schedules and multiple routes to evaluate the need for DBLs. Neural network models can also be used to approximate bus travel times on segments by simulating scenarios with DBLs to obtain accurate bus travel times. Such implementation could not only improve WMATA’s bus service and reliability but also alleviate general traffic delays.

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