Evaluación del rendimiento de bases de datos embebida: un estudio empírico

Introduction: With the rapid deployment of embedded databases across a wide range of embedded devices such as mobile devices, Internet of Things (IoT) devices, etc., the amount of data generated by such devices is also growing increasingly. For this reason, the performance is considered as a crucial criterion in the process of selecting the most suitable embedded database management system to be used to store/retrieve data of these devices. Currently, many embedded databases are available to be utilized in this context. Materials and Methods: In this paper, four popular open-source relational embedded databases; namely, H2, HSQLDB, Apache Derby, and SQLite have been compared experimentally with each other to evaluate their operational performance in terms of creating database tables, retrieving data, inserting data, updating data, deleting data. Results and Discussion: The experimental results of this paper have been illustrated in Table 4. Conclusions: The experimental results and analysis showed that HSQLDB outperformed other databases in most evaluation scenarios

Evaluación del rendimiento de los métodos de iteración de listas en Java: un estudio empírico

Introduction: Lists are used in various software applications including web applications, desktop applications, and Internet ofThings (IoT) applications to store different types of items (e.g.country name, product model, and device category). Users can select one or more of these items to perform specific tasks such asfilling forms, ordering products, reading device data, etc. In somesoftware applications, lists store a huge number of items to be iterated over in order to know what users have selected. From a software development perspective, there are a number of methods toiterate over list items. Materials and Methods: In this paper, fivelist iteration methods: Classic For, Enhanced For, Iterator, List Iterator, and For Each have been compared experimentally with eachother with regard to their performance (execution time required toiterate over list items). Thus, a number of experimental test scenarios have been conducted to obtain the comparison results. Resultsand Discussion: The experimental results of this study have beenpresented in Table 4. Conclusions: Overall performance evaluation showed that Iterator and List Iterator methods outperformedother list iteration methods in all test scenarios. However, List Iterator outperformed Iterator when the list size was small. On theother hand, Iterator outperformed List Iterator when the list sizewas large

Causes of Non-Prioritization of Infrastructure Projects in the Gaza Strip

Infrastructure projects are the backbone of the economy of the developed counties. Gaza Strip is suffering from non-prioritization of infrastructure project implementation. The objective of this paper was to identify the causes of nonprioritization infrastructure projects in the Gaza Strip. This paper considers the key causes of non-prioritizing infrastructure projects in Gaza Strip. Using an empirical questionnaire survey targeting groups consist of 5 ministries, 25 municipalities, 25 NGOs, international agencies and 59 consultancy firms working in Gaza Strip, respondents were invited to rate the level of importance of 52 causes have been finalized to be involved in this study from the literature. Results revealed that the most important causes are related to the project and its location, the surrounded political and economic environment, donors and project's owner. There is no consideration for local needs in the implementation of the infrastructure projects in the Gaza Strip and there are problems in the process of selecting infrastructure projects priorities by owners of these projects. Furthermore, several donors placing limitations on the type of infrastructure that it can support that related to their working area of aids and according to their political directions. Finally, the political and economic situation in Gaza Strip, and imposed borders blockade affects the decision-making process for the selection of the proposed projects. This paper will help the decision makers to consider the important aspects that should be considered when planning to infrastructure projects

Open-CyKG: an open cyber threat intelligence knowledge graph

Instant analysis of cybersecurity reports is a fundamental challenge for security experts as an immeasurable amount of cyber information is generated on a daily basis, which necessitates automated information extraction tools to facilitate querying and retrieval of data. Hence, we present Open-CyKG: an Open Cyber Threat Intelligence (CTI) Knowledge Graph (KG) framework that is constructed using an attention-based neural Open Information Extraction (OIE) model to extract valuable cyber threat information from unstructured Advanced Persistent Threat (APT) reports. More specifically, we first identify relevant entities by developing a neural cybersecurity Named Entity Recognizer (NER) that aids in labeling relation triples generated by the OIE model. Afterwards, the extracted structured data is canonicalized to build the KG by employing fusion techniques using word embeddings. As a result, security professionals can execute queries to retrieve valuable information from the Open-CyKG framework. Experimental results demonstrate that our proposed components that build up Open-CyKG outperform state-of-the-art models.1 (c) 2021 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).Algorithms and the Foundations of Software technolog

Association of high sensitive C reactive protein and dialysis adequacy with uremic pruritus in hemodialysis patients

Introduction: Uremic pruritus is one of the most common and complicated symptom affecting hemodialysis patients, it can be persistent, distressing and having a significant impact on the quality of life. We aimed to study the relationship between high sensitive C reactive protein and adequacy of dialysis with uremic pruritus in hemodialysis patients. Patients and Methods: In this Case control study one hundred prevalent hemodialysis patients were enrolled from hemodialysis units in Ain Shams University hospitals, fifty of them had pruritus and the other fifty patients had no pruritis, all of them underwent urea reduction ratio for dialysis adequacy assessment, pruritus assessment by using visual analog scale and high sensitive C reactive protein serum level. Results: Uremic pruritus has statistically significant negative correlation with urea reduction ratio and consequently with dialysis adequacy. However, uremic pruritus has statistically significant positive correlation with highly sensitive C reactive protein serum levels in hemodialysis patients. Conclusion: Inadequate hemodialysis and increased hsCRP serum level play an important role in aggravating intensity and severity of uremic pruritus

Java Message Service Based Performance Comparison of Apache ActiveMQ and Apache Apollo Brokers

Software integration is a crucial aspect of collaborative software applications and systems. It enables a number of different software applications, created by different developers, using different programming languages, and even located at different places to work with each other collaboratively to achieve common goals. Nowadays, a number of techniques are available to enable software integration. Messaging is the most prominent technique in this respect. In this paper, two leading open-source messaging brokers, Apache ActiveMQ and Apache Apollo, have been experimentally compared with each other with regard to their messaging capabilities (message sending and receiving throughputs). Both brokers support exchanging messages between heterogeneous and distributed software applications using several messaging mechanisms including Java Message Service (henceforth JMS). A number of experimental test scenarios have been conducted to obtain the comparison results that indicate the one-to-one JMS messaging performance of each broker. Overall performance evaluation and analysis showed that Apache Apollo outperformed Apache ActiveMQ in all test scenarios regarding message sending throughputs. Whereas, Apache ActiveMQ outperformed Apache Apollo in most test scenarios regarding message receiving throughputs. Moreover, the evaluation methodology (test conditions, test scenarios, and test metrics) proposed in this paper has been carefully chosen to be adopted by software developers to evaluate other messaging brokers to determine the acceptable level of messaging capabilities in distributed environments of heterogeneous software applications

Correction Hierarchically structured iron doped silver Ag Fe lotus flowers for an efficient oxygen reduction reaction

The development of cheap and efficient electrocatalysts for the oxygen reduction reaction ORR is vital for the immediate commercialization of fuel cells which are still limited by the high cost and low performance of the utilized commercial Pt based electrodes. As a promising alternative, this study reports on the synthesis of hierarchical iron doped silver lotus flowers AgFelotus by a facile chemical procedure as robust and efficient ORR electrocatalysts. Succinic acid was used as a structure directing agent to tune the morphology of undoped and iron doped silver particles. In the absence of succinic acid, ball like silver particles were obtained, while using 2 mM succinic acid led to peony like flower structures. The doping of silver peony flowers with iron resulted in lotus like flower structures with high electrocatalytic activity for ORR together with outstanding tolerance against poisoning with various hydrocarbon HC impurities, in situ generated during fuel cell operation, as well as different fuels from anodic crossover. AgFelotus exhibited a superior ORR activity with more than 40 times higher stability than the commercial Pt C catalyst in alkaline media. This substantial performance enhancement is attributed to the unique lotus like flower structures providing more electroactive surface sites, in addition to the iron dopants which facilitate ORR charge transfe

Evaluation of genotoxicity induced by exposure to antineoplastic drugs in lymphocytes of oncology nurses and pharmacists

ABSTRACT: The hazards of handling antineoplastic drugs have been raised and discussed in several studies. Introduction of new antineoplastics together with abuse of safety standards have contributed to the exposure risk for personnel who handle these substances. Interactions of antineoplastic drugs with biological structures vary according to the drug(s) and the individual's genetic susceptibility. This study was carried out to evaluate the genome damage induced by exposure to antineoplastic drugs in nurses (n = 20) and pharmacists (n = 18) working in the Oncology Department of Tanta Cancer Center. Thirty subjects matched in age, gender and smoking habit were selected as controls. Both chromosomal aberration analysis and micronucleus assay were used to evaluate genome damage in peripheral blood lymphocytes of the study subjects. The numbers of aberrant lymphocytes, as well as chromosomal aberration and micronuclei frequencies, were significantly increased in exposed personnel in comparison to matched controls. Compared with pharmacists, nurses showed notably higher level of chromosome damage. On the other hand, no significant difference in micronuclei frequency was observed between nurses and pharmacists. Correlation analyses pointed to the influence of age and duration of occupational exposure on the level of chromosome damage among exposed subjects. The results of this study confirmed that handling antineoplastic drugs without appropriate precautions imposed a genotoxic risk for exposed healthcare workers. These results address the need for regular biomonitoring of exposed personnel. In addition, they call attention to the need for proper implementation of intervention measures aiming to eliminate or significantly reduce worker exposure and prevent untoward biological effects

Investigating the Machinability of Al-Si-Cu cast alloy containing bismuth and antimony using coated carbide insert

Surface roughness and cutting force are two key measures that describe machined surface integrity and power requirement evaluation, respectively. This investigation presents the effect of melt treatment with addition of bismuth and antimony on machinability when turning Al-11 Si-2 Cu alloy. The experiments are carried out under oblique dry cutting conditions using a PVD TIN-coated insert at three cutting speeds of 70, 130 and 250 m/min, feed rates of 0.05, 0.1, 0.15 mm/rev, and 0.05 mm constant depth of cut. It was found that the Bi-containing workpiece possess the best surface roughness value and lowest cutting force due to formation of pure Bi which plays an important role as a lubricant in turning process, while Sb-containing workpiece produced the highest cutting force and highest surface roughness value. Additionally, change of silicon morphology from flake-like to lamellar structure changed value of cutting force and surface roughness during turning. (C) 2014 Elsevier Ltd. All rights reserved