Factors Affecting the Adoption of Online Database Systems for Learning among Students at Economics Universities in Vietnam.

This study aims to evaluate the determinants that influence the adoption of online databases in the learning process of students at economics universities in Vietnam. A quantitative study with a meta-analysis was conducted by utilizing structural equation modeling (SEM). The sample consisted of 492 students from economics universities located in Vietnam who were surveyed using stratified random sampling. The results indicate that the adoption of online databases in student learning is influenced by six determinants, namely: (i) perceived effectiveness, (ii) perceived ease of use, (iii) technical barriers, (iv) personal usefulness, (v) usage attitudes, and (vi) convenience. Our study has revealed that students' intention to use the online database system is positively influenced by their perceived ease of use and perceived usefulness. These findings could be valuable in shaping policies for enhancing the online database system at economics universities, taking into account the students' characteristics and the institution's needs.

FragTracer: Real-Time Fragmentation Monitoring Tool for F2FS File System.

Emerging hardware devices (e.g., NVMe SSD, RISC-V, etc.) open new opportunities for improving the overall performance of computer systems. In addition, the applications try to fully utilize hardware resources to keep up with those improvements. However, these trends can cause significant file system overheads (i.e., fragmentation issues). In this paper, we first study the reason for the fragmentation issues on an F2FS file system and present a new tool, called FragTracer, which helps to analyze the ratio of fragmentation in real-time. For user-friendly usage, we designed FragTracer with three main modules, monitoring, pre-processing, and visualization, which automatically runs without any user intervention. We also optimized FragTracer in terms of performance to hide its overhead in tracking and analyzing fragmentation issues on-the-fly. We evaluated FragTracer with three real-world databases on the F2FS file system, so as to study the fragmentation characteristics caused by databases, and we compared the overhead of FragTracer. Our evaluation results clearly show that the overhead of FragTracer is negligible when running on commodity computing environments.

Postnatal corticosteroid exposure in very preterm infants: A French cohort study.

Background: Postnatal corticosteroids (PC) are widely used in very preterm infants. International reports and national multicenter trials describe a marked variability across countries and inter-sites, in the use of PC. Few information is available on therapeutic indications and prescription characteristics of PC. Aim: The main objective of this study was to describe the exposure to PC in a large cohort of preterm infants born at less than 32 weeks of gestation, according to the prescription data of 41 tertiary-care NICUs in France. Secondary objectives were to describe therapeutic indications, day of life (DOL) of the first exposure, route of administration, duration, cumulative dose for each drug, and differences in exposure rates across centers. Methods: We conducted a prospective observational cohort analysis from January 2017 to December 2021, in 41 French tertiary-care NICUs using the same computerized order-entry system. Results: In total, 13,913 infants [birth weight 1144.8 (±365.6) g] were included. Among them, 3633 (26.1%) were exposed to PC, 21.8% by systemic and 10.1% by inhaled route. Within the study population, 1,992 infants (14.3%) received the first corticosteroid treatment in the first week of life and 1641 (11.8%) after DOL 7. The more frequent indications were prevention and/or treatment of bronchopulmonary dysplasia, and arterial hypotension. Hydrocortisone was the more often prescribed molecule. For systemic PC the first exposure occurred in mean at DOL 9.4 (±13.5), mean duration of treatment was 10.3 (±14.3) days, and the cumulative dose (expressed as the equivalent dose of hydrocortisone) was in median [IQR] 9.0 [5.5-28.8] mg/kg. For inhaled PC, the first exposure occurred in mean at DOL 34.1 (±19.7), and mean duration of treatment 28.5 (±24.4) days. The exposure rate ranged from a minimum of 5% to a maximum of 56% among centers, and significantly increased over the study period (p < 0.0001). Conclusion: In this French cohort of very preterm infants, around one patient out to five was exposed to PC during hospital stay in the NICU. The exposure occurred early, starting from the first week of life. Exposure rate widely varied among centers. Pharmacoepidemiology studies are useful to increase knowledge on corticosteroid utilization patterns in preterm infants.

Cross-sectional survey of barriers and opportunities for engaging backyard poultry producers and veterinarians in addressing poultry health.

AIMS: To assess the current level of engagement between backyard poultry keepers and veterinarians in New Zealand; to understand the opportunities and barriers for improving access to poultry health care; and to gauge the interest of backyard poultry keepers in participating in a voluntary national poultry health information system. MATERIALS AND METHODS: Backyard poultry were defined as any bird species kept for non-commercial purposes. Separate cross-sectional surveys were administered to backyard poultry keepers and veterinarians in New Zealand over 12-week periods starting 22 March 2021 and 03 May 2021 respectively. The veterinarian survey was advertised in the monthly update e-mail from the Veterinary Council of New Zealand, while the survey for backyard poultry keepers was advertised on various online platforms that focus on raising backyard poultry. Results for quantitative variables were reported as basic descriptive statistics, while qualitative free-text responses from open-ended questions were explored using thematic analysis. RESULTS: A total of 125 backyard poultry keepers and 35 veterinarians completed the survey. Almost half (56/125; 44.8%) of backyard poultry keepers reported that they had never taken their birds to a veterinarian, with common reasons being difficulty finding a veterinarian, cost of treatment, and perceptions that most visits result in the bird being euthanised. The majority (113/125; 90.4%) of backyard poultry keepers reported that a general internet search was their primary source for poultry health advice. However, it remains unclear if owners were satisfied with the advice found online, as many cited that having access to reliable health information would be an incentive for registering with a poultry health information system. Of the veterinarian responses, 29/35 (82.9%) reported treating an increasing number of poultry in the last 5 years, although many (27/35; 77.1%) suggested they would be hesitant to increase their poultry caseload due to concerns over their lack of knowledge and confidence in poultry medicine; a lack of clinic resources to treat poultry; concerns over the cost-effectiveness of treatments; and a general feeling of helplessness when treating poultry, with most consultations being for end-stage disease and euthanasia. CONCLUSION: The results of this study highlight opportunities for increased engagement between backyard poultry keepers and veterinarians, including making available accurate poultry health information and providing veterinarians with improved training in poultry medicine. The results also support the development of a poultry health information system in New Zealand to further enhance health and welfare in backyard poultry populations.Abbreviations: MPI: Ministry for Primary Industries.

Heuristic Pairwise Alignment in Database Environments.

Biological data have gained wider recognition during the last few years, although managing and processing these data in an efficient way remains a challenge in many areas. Increasingly, more DNA sequence databases can be accessed; however, most algorithms on these sequences are performed outside of the database with different bioinformatics software. In this article, we propose a novel approach for the comparative analysis of sequences, thereby defining heuristic pairwise alignment inside the database environment. This method takes advantage of the benefits provided by the database management system and presents a way to exploit similarities in data sets to quicken the alignment algorithm. We work with the column-oriented MonetDB, and we further discuss the key benefits of this database system in relation to our proposed heuristic approach.

Making big data small.

Big data analytics is often prohibitively costly and is typically conducted by parallel processing with a cluster of machines. Is big data analytics beyond the reach of small companies that can only afford limited resources? This paper tackles this question by presenting Boundedly EvAlable SQL (BEAS), a system for querying big relations with constrained resources. The idea is to make big data small. To answer a query posed on a dataset, it often suffices to access a small fraction of the data no matter how big the dataset is. In the light of this, BEAS answers queries on big data by identifying and fetching a small set of the data needed. Under available resources, it computes exact answers whenever possible and otherwise approximate answers with accuracy guarantees. Underlying BEAS are principled approaches of bounded evaluation and data-driven approximation, the focus of this paper.

Secure Deduplication for Cloud Storage Using Interactive Message-Locked Encryption with Convergent Encryption, To Reduce Storage Space

ABSTRACT The digital data stored in the cloud requires much space due to copy of the same data. It can be reduced by dedupilcation, eliminating the copy of the repeated data in the cloud provided services. Identifying common checkoff data both files storing them only once. Deduplication can yield cost savings by increasing the utility of a given amount of storage. Unfortunately, deduplication has many security problems so more than one encryption is required to authenticate data. We have developed a solution that provides both data security and space efficiency in server storage and distributed content checksum storage systems. Here we adopt a method called interactive Message-Locked Encryption with Convergent Encryption (iMLEwCE). In this iMLEwCE the data is encrypted firstly then the cipher text is again encrypted. Block-level deduplication is used to reduce the storage space. Encryption keys are generated in a consistent configuration of data dependency from the chunk data. The identical chunks will always encrypt to the same cipher text. The keys configuration cannot be deduced by the hacker from the encrypted chunk data. So the information is protected from cloud server. This paper focuses on reducing the storage space and providing security in online cloud deduplication.