Search Facilities Research Articles

Mapping research data landscape in Africa using the Re3data and data citation Index

Despite the efforts made by most African countries in incubating the practice of research data sharing, little is known on the status of the research data sphere in the African landscape. This study was conducted to establish the status of research data and research data repositories (RDRs) in Africa. Specifically, the study intended to identify the country-wise contributions in terms of research data and research data repositories, trends of publication of research data by African countries, content type and the nature of research data repositories hosted by African countries. The study applied the quantitative research approach. The registry of research data repositories (re3data), which is the prominent worldwide registry for the research data repository, and the data citation index (DCI) hosted by the Web of Science were used in this study. Re3data and DCI index research data repositories and datasets respectively, from almost all the countries around the world. The study identified parameters that were extracted from re3data and DCI using the browse and search facilities. The extracted data were recorded into Google Sheets, refined, and analysed using MS Office Excel. The study found little contribution from the African countries regarding research data and research data repositories to re3data and DCI. The study found further that, despite the presence of a few repositories, most of them had restricted access to external users. This study concludes that African countries are still having a lot to do for the research data practices to be fully incubated. The study suggests that governments and other stakeholders should improve the facilitating conditions, including establishing relevant policies and infrastructures for the practice to be fully embraced.

The UTMOST-NS: a fully digital, wide-field transient search facility operating at a centre frequency of 831 MHz

ABSTRACT The Molonglo Cross was first commissioned in 1965, as a transit radio (408 MHz) interferometer with the largest collecting area in the Southern hemisphere. In 1981, the telescope was redeveloped as an Earth-rotation synthesis interferometer using only the East–West arm (843 MHz), known as the Molonglo Observatory Synthesis Telescope. While the East–West arm was revitalized in the 2010s, the (slightly larger) North–South (NS) arm, which consists of two co-linear paraboloid cylindrical reflectors spanning 2 × 778 m × 12.7 m, had not been used for over 40 yr. Re-fitting this 19 800-m2 collecting area with modern electronics is a cost-effective way of producing a significant survey instrument. The upgrades made to the entire signal chain of the NS arm from the antenna through the transport, digitization, and digital signal processing are described, along with the subsequent performance of the system. The instrument was designed to undertake pulsar timing and searching for dispersed single pulses [e.g. from fast radio bursts (FRBs)]. The upgraded system operated across the 806.25–856.25-MHz frequency range, and had a primary beam that spans 12.7 × 2.5 deg. It had dual linear polarization capability and a lower system temperature and wider bandwidth compared with the East–West system. The digital signal processing was performed on servers with graphics processing units, which enabled low-latency, high-speed data processing, and made use of pipelines built from existing and custom codes. It timed around 70 pulsars per day while running concurrent FRB searches at nearly 100 per cent duty cycle during its operation.

Wenzhou TE: A First-Principle-Calculated Thermoelectric Materials Database.

Since the implementation of the Materials Genome Project by the Obama administration in the United States, the development of various computational materials' databases has fundamentally expanded the choice of industries such as materials and energy. In the field of thermoelectric materials, the thermoelectric figure of merit (ZT) quantifies the performance of the material. From the viewpoint of calculations for vast materials, the ZT values are not easily obtained due to their computational complexity. Here, we show how to build a database of thermoelectric materials based on first-principle calculations for the electronic and heat transport of materials. Firstly, the initial structures are classified according to the values of bandgap and other basic properties using the clustering algorithm K-means in machine learning, and high-throughput first principle calculations are carried out for narrow-bandgap semiconductors which exhibit a potential thermoelectric application. The present framework of calculations mainly includes a deformation potential module, an electrical transport performance module, a mechanical and a thermodynamic properties module. We have also set up a search webpage for the calculated database of thermoelectric materials, providing search facilities and the ability to view the related physical properties of materials. Our work may inspire the construction of more computational databases of first-principle thermoelectric materials and accelerate research progress in the field of thermoelectrics.

IPSD: e-repository of Permian seeds from Indian Lower Gondwana

The interest and importance of studying the reproductive strategies of Palaeozoic plants are growing. Fossil seeds play an essential role in this line of study, as they are widely described from different sedimentary formations throughout the Permian period. The Indian Permian Seed Database (IPSD) software will be an information system for ensuring the storage, safety, accessibility and recovery of the details of Indian Permian seed records in a selective manner. The current database includes 28 genera and 44 species of compressed seeds described from Lower Gondwana (Permian), with all the details for researchers. The software provides options for addition, deletion, modification and search facility. The search also includes different options (single or combination). It is a quick and organised way to look for seeds, especially on a data grid for information about seeds that have already been published in the same or different sediments. IPSD is a tool for the computer-based identification of seeds and distinguishing different genera or species within the same category. It is user-friendly and provides updated knowledge of seeds from the Lower Gondwana basins of India. It provides morphotaxonomical characters, distribution and photo documentation of seeds. The software increases accuracy through computerassisted identification of seeds. Hence, reducing and curtailing unnecessary information while describing a new species with inadequate earlier knowledge of Permian seeds.

A survey on the model-centered approaches to conceptual modeling of IoT systems

Internet of Things (IoT) is a system of connected objects, entities, devices, and components which share and transfer data over a network. Many papers are published on the topic of conceptual models in the IoT context, but it is difficult to assess the current status of the conceptual modeling approaches and methods for IoT systems. This paper presents an overview of the state of the art as well as discusses fundamental concepts, challenges and current research gaps with potential future agenda for conceptual modeling of IoT. Search facilities in the selected online repositories were used to identify the most relevant papers. The primary results were scanned and papers were selected according to the inclusion/exclusion criteria. Selected papers were assessed to extract data for the defined attributes. This paper confirms that there is a large body of research related to modeling of IoT systems. However, the results show that there is a lack of commonly agreed approaches and supporting formal methods for conceptual modeling of IoT systems. On the other hand, recent studies that apply model-based or model-driven development principles that use ontology or metamodel based approaches are promising due to systematic use of models as the primary means of a development process enabling for the dissemination of the methods further to the emerging fields such as smart cities, factories, transportation, hospitals, healthcare, hospitality and tourism, etc.

Database of space life investigations and information on spaceflight plant biology.

Extensive spaceflight life investigations (SLIs) have revealed observable space effects on plants, particularly their growth, nutrition yield, and secondary metabolite production. Knowledge of these effects not only facilitates space agricultural and biopharmaceutical technology development but also provides unique perspectives to ground-based investigations. SLIs are specialized experimental protocols and notable biological phenomena. These require specialized databases, leading to the development of the NASA Science Data Archive, Erasmus Experiment Archive, and NASA GeneLab. The increasing interests of SLIs across diverse fields demand resources with comprehensive content, convenient search facilities, and friendly information presentation. A new database SpaceLID (Space Life Investigation Database http://bidd.group/spacelid/ ) was developed with detailed menu search tools and categorized contents about the phenomena, protocols, and outcomes of 459 SLIs (including 106 plant investigations) of 92 species, where 236 SLIs and 57 plant investigations are uncovered by the existing databases. The usefulness of SpaceLID as an SLI information source is illustrated by the literature-reported analysis of metabolite, nutrition, and symbiosis variations of spaceflight plants.In conclusion,this study extensively investigated the impact of the space environment on plant biology, utilizing SpaceLID as an information source and examining various plant species, including Arabidopsis thaliana, Brassica rapa L., and Glycyrrhiza uralensis Fisch. The findings provide valuable insights into the effects of space conditions on plant physiology and metabolism.

An Overview of E- Hospital Management System

Abstract: This paper is to computerize the Front Office Management of Hospital to develop software which is user friendly simple, fast, and cost – effective. It deals with the collection of patient’s information, diagnosis details, etc. Traditionally, it was done manually. The main function of the system is register and store patient details and doctor details and retrieves these details as and when required, and also to manipulate these details meaningfully. System input contains patient details, diagnosis details, while system output is to get these details on to the screen. The Hospital Management System can be entered using a username and password. It is accessible either by an administrator or receptionist. Only they can add data into the database. The data can be retrieved easily. Registration of patients, storing their details into the system and also computerized billing in the pharmacy, and labs. Our software has the facility to give a unique id for every patient and stores the details of every patient and the staff automatically. It includes a search facility to know the current Status of each room. User can search availability of a doctor and the details of a patient using the id. The interface is very user-friendly. The data are well protected for personal use and makes the data processing very fast. Keywords— hospitality, trigger, administrators, receptions.

Ontology-Based News Linking for Semantic Temporal Queries

Daily newspapers publish a tremendous amount of information disseminated through the Internet. Freely available and easily accessible large online repositories are not indexed and are in an un-processable format. The major hindrance in developing and evaluating existing/new monolingual text in an image is that it is not linked and indexed. There is no method to reuse the online news images because of the unavailability of standardized benchmark corpora, especially for South Asian languages. The corpus is a vital resource for developing and evaluating text in an image to reuse local news systems in general and specifically for the Urdu language. Lack of indexing, primarily semantic indexing of the daily news items, makes news items impracticable for any querying. Moreover, the most straightforward search facility does not support these unindexed news resources. Our study addresses this gap by associating and marking the newspaper images with one of the widely spoken but under-resourced languages, i.e., Urdu. The present work proposed a method to build a benchmark corpus of news in image form by introducing a web crawler. The corpus is then semantically linked and annotated with daily news items. Two techniques are proposed for image annotation, free annotation and fixed cross examination annotation. The second technique got higher accuracy. Build news ontology in protégé using Ontology Web Language (OWL) language and indexed the annotations under it. The application is also built and linked with protégé so that the readers and journalists have an interface to query the news items directly. Similarly, news items linked together will provide complete coverage and bring together different opinions at a single location for readers to do the analysis themselves.

A Fuzzy Logic based Solution for Network Traffic Problems in Migrating Parallel Crawlers

Search engines are the instruments for website navigation and search, because the Internet is big and has expanded greatly. By continuously downloading web pages for processing, search engines provide search facilities and maintain indices for web documents. Online crawling is the term for this process of downloading web pages. This paper proposes solution to network traffic problem in migrating parallel web crawler. The primary benefit of a parallel web crawler is that it does local analysis at the data's residence rather than inside the web search engine repository. As a result, network load and traffic are greatly reduced, which enhances the performance, efficacy, and efficiency of the crawling process. Another benefit of moving to a parallel crawler is that as the web gets bigger, it becomes important to parallelize crawling operations in order to retrieve web pages more quickly. A web crawler will produce pages of excellent quality. When the crawling process moves to a host or server with a specific domain, it begins downloading pages from that domain. Incremental crawling will maintain the quality of downloaded pages and keep the pages in the local database updated. Java is used to implement the crawler. The model that was put into practice supports all aspects of a three-tier, real-time architecture. An implementation of a parallel web crawler migration is shown in this paper. The method for efficient parallel web migration detects changes in the content and structure using neural network-based change detection techniques in parallel web migration. This will produce high-quality pages and detection for changes will always download new pages. Either of the following strategies is used to carry out the crawling process: either crawlers are given generous permission to speak with one another, or they are not given permission to communicate with one another at all. Both strategies increase network traffic. Here, a fuzzy logic-based system that predicts the load at a specific node and the path of network traffic is presented and implemented in MATLAB using the fuzzy logic toolbox.

Annotation of biologically relevant ligands in UniProtKB using ChEBI.

To provide high quality, computationally tractable annotation of binding sites for biologically relevant (cognate) ligands in UniProtKB using the chemical ontology ChEBI (Chemical Entities of Biological Interest), to better support efforts to study and predict functionally relevant interactions between protein sequences and structures and small molecule ligands. We structured the data model for cognate ligand binding site annotations in UniProtKB and performed a complete reannotation of all cognate ligand binding sites using stable unique identifiers from ChEBI, which we now use as the reference vocabulary for all such annotations. We developed improved search and query facilities for cognate ligands in the UniProt website, REST API and SPARQL endpoint that leverage the chemical structure data, nomenclature and classification that ChEBI provides. Binding site annotations for cognate ligands described using ChEBI are available for UniProtKB protein sequence records in several formats (text, XML and RDF) and are freely available to query and download through the UniProt website (www.uniprot.org), REST API (www.uniprot.org/help/api), SPARQL endpoint (sparql.uniprot.org/) and FTP site (https://ftp.uniprot.org/pub/databases/uniprot/). Supplementary data are available at Bioinformatics online.

Pemanfaatan Google Workspace For Education Bagi Guru Dalam Pembelajaran

This research has the aim of knowing as well as explaining the use of Google Workspace For Education for teachers in learning in the current Industry 4.0 era which affects the development of information and communication technology which is so significant in the Education section related to the implementation of teaching and learning. Teachers in today's digital age are required to increase their insight and professionalism in the field of information and communication technology-based in the learning process. This research uses a qualitative descriptive method and a research sample of 10 teachers at SD Negeri 1 Delod Peken Tabanan from various levels of education. The equipment needed for this research such as stationery, laptop, and also the Google Meet application in conducting interviews for search facilities. This research is expected to be able to provide insight into the needs of the current education era in terms of easy access to information and communication technology to assist teachers in improving the quality of education, one of which is Google Workspace For Education which provides various features that teachers can use in the learning process, namely Gmail. Meet, Classroom, Drive, Docs, Slides, Forms and Sheets.

Pengaruh Promosi Melalui Media Sosial Terhadap Pemanfaatan Perpustakaan Umum Kota Solok

The main problem in this study is that the library maximizes promotion through social media because librarians rarely do promotions through Instagram posts, Facebook, and library websites, the lack of use of the Solok City Public Library by visitors, due to the covid'19 pandemic, and the lack of creativity of librarians in using social media as a means of promotion of the use of the library. The type of research used is causal associative with a quantitative approach. This research was conducted at the Public Library of Solok City by using a questionnaire as a research instrument. Questionnaires were distributed to 81 respondents using a simple random sampling technique. Data were analyzed using descriptive statistical methods by describing quantitative data. The results obtained regarding the effect of promotion through social media on the use of the Solok city public library showed that the variable of promotion through social media was 3.21 and the variable of library utilization was 3.13. So it can be concluded that the effect of promotion through social media on the utilization of the Solok city public library is good. In the grand mean test, the collection utilization indicator is said to be good with a grand mean value of 3.06. In the grand mean test, the indicator of the utilization of the search facility is said to be good with a grand mean value of 3.18. In the grand mean test, the use of library services is said to be good with the grand mean value of 3.15. Promotion through social media affects library utilization by 54%, while the remaining 46% is explained by other factors not examined. The effect of variable X on variable Y has a significant effect of 0.037 at the probability level < 0.05. Thus it can be concluded that there is a significant influence between promotion through social media on library utilization

Database of space life investigations and bioinformatics of microbiology in extreme environments.

Biological experiments performed in space crafts like space stations, space shuttles, and recoverable satellites has enabled extensive spaceflight life investigations (SLIs). In particular, SLIs have revealed distinguished space effects on microbial growth, survival, metabolite production, biofilm formation, virulence development and drug resistant mutations. These provide unique perspectives to ground-based microbiology and new opportunities for industrial pharmaceutical and metabolite productions. SLIs are with specialized experimental setups, analysis methods and research outcomes, which can be accessed by established databases National Aeronautics and Space Administration (NASA) Life Science Data Archive, Erasmus Experiment Archive, and NASA GeneLab. The increasing research across diverse fields may be better facilitated by databases of convenient search facilities and categorized presentation of comprehensive contents. We therefore developed the Space Life Investigation Database (SpaceLID) http://bidd.group/spacelid/, which collected SLIs from published academic papers. Currently, this database provides detailed menu search facilities and categorized contents about the studied phenomena, materials, experimental procedures, analysis methods, and research outcomes of 448 SLIs of 90 species (microbial, plant, animal, human), 81 foods and 106 pharmaceuticals, including 232 SLIs not covered by the established databases. The potential applications of SpaceLID are illustrated by the examples of published experimental design and bioinformatic analysis of spaceflight microbial phenomena.

Open-Source Software in the Classroom: Empowering Students to Self-Select Projects to Contribute

Contribution: Instructors are leveraging open-source software (OSS) as a way to experience authentic examples of software problems with their students. Recommender engines might assist students in selecting the right project based on metrics mined from project repositories (e.g., GitHub). This vision is realized through GitMate, a GitHub-based recommender for supporting students in their OSS selection. Background: Contributing to OSS is a valuable way to immerse students into the realities of software development. When it comes to OSS selection, self-selection seems to be the most engaging alternative. Yet, students lack the time (and skills) to analyze project facets and draw comparisons among OSS projects. Research Questions: How can students be assisted to select a good OSS project to contribute to? Specifically, how would a recommender system might help? The envisioned intervention should be useful not only in finding the right project but also challenging students’ initial selections with other alternatives, spurring reflection. Methodology: The aim is to act upon a dependent variable (mind changing in project selection) through an independent variable (project comparison). This is achieved through GitMate, a recommender system on top of GitHub. Its search facilities are used for students to locate three projects at their wish. Next, GitMate recommends similar projects based on the project facets (e.g., number of committers, commits, and stars), mined from GitHub. Pondering the importance of distinct facets, students can now tradeoff different projects. The experiment checks whether students change their first choice. Findings: The results indicate that GitMate helps students compare GitHub projects to the extent of making them change their first choice. Nearly, 80% of the students changed at least one project as a result of using GitMate. This seems to suggest GitMate being effective on its goal: facet-based comparison thinking during OSS selection.

Genenames.org: the HGNC resources in 2023.

The HUGO Gene Nomenclature Committee (HGNC) assigns unique symbols and names to human genes. The HGNC database (www.genenames.org) currently contains over 43 000 approved gene symbols, over 19 200 of which are assigned to protein-coding genes, 14 000 to pseudogenes and nearly 9000 to non-coding RNA genes. The public website, www.genenames.org, displays all approved nomenclature within Symbol Reports that contain data curated by HGNC nomenclature advisors and links to related genomic, clinical, and proteomic information. Here, we describe updates to our resource, including improvements to our search facility and new download features.

An E-Commerce Product Recommendation Method Based on Visual Search and Customer Satisfaction

Recently, extensive attention from researchers has been paid to users referring to product review comments when choosing products while shopping online. These shoppers are also more frequently demanding a visual search facility to identify similar or identical products based on images they input. In this paper, the authors propose a product recommendation method to support a visual product search that combines the similarities of both visual and textual information to recommend products with a high level of satisfaction. The authors first utilize the image-based recognition method to calculate the similarities between user-inputted images and product images based on their SIFT features and the surrounding text. Next, to select satisfying products, the authors perform sentiment analysis on product reviews and combine this with users' repeat purchase behavior to recommend products that have a high level of satisfaction rating. Finally, the authors evaluate and discuss the proposed method using real e-commerce data.

Collection, compilation and analysis of bacterial vaccines

BackgroundBacterial diseases are one of the leading causes of millions of fatalities worldwide, mainly due to antimicrobial resistance. The discovery of chicken cholera vaccine in 1879 revolutionized our fight against bacterial infections. Bacterial vaccines are proven to be highly effective in preventing many infectious diseases. Currently, various licensed vaccines are available against bacterial infections such as typhoid, diphtheria, cholera and tetanus in the market. In this study, we have attempted to compile different information regarding bacterial vaccines, their types, efficacy, mechanism of action, status, route of administration and other relevant details as a knowledgebase known as BacVacDB. MethodsBacVacDB was implemented using Linux-Apache-MySQL-PHP. HTML, PHP, CSS and Javascript have been used to develop the front end and MySQL for the back end. The data was curated from several sources, including literature, databases and relevant web resources. ResultsThis paper reviewed 371 vaccines against 30 human bacterial diseases maintained in BacVacDB, of which 167 are approved and 204 in clinical trials. This database provides the users an effortless search facility in the four modules, ‘Search,’ ‘Browse,’ ‘External Links’ and ‘General Information’. In this systematic attempt, we also included the history of vaccines, their mechanism, types, route of administration and approving agencies. ConclusionsThis knowledgebase has an intuitive interface that allows users to explore, search, and download information as well as to submit new bacterial vaccines (https://webs.iiitd.edu.in/raghava/bacvacdb/).

A Blockchain-Enabled Privacy-Preserving Verifiable Query Framework for Securing Cloud-Assisted Industrial Internet of Things Systems

Advanced Industrial Internet-of-Things (IIoT), such as smart grids, 5G-enabled unmanned aerial vehicles (UAV), and supply chain 4.o, can be used to facilitate smart management. Nevertheless, IIoT systems generate huge amounts of data that need to be outsourced to the cloud for storing and providing real-time search facilities to end-users. Outsourcing IIoT data to a third-party cloud service provider (CSP) introduces several data privacy and integrity issues related to verifying the reliability of users’ queries and aggregated outcomes. In this article, we propose a blockchain-based framework for provisioning a privacy-preserving and verifiable query facility to end-users in IIoT systems. The framework uses blockchain to store IoT data as on-chain data and the cloud to store extensive data (e.g., image) as off-chain data and provisioning search services to users by executing a query in both on-chain and off-chain data and generating an aggregated result. Besides, it introduces a new privacy-preserving query mechanism for ensuring sensitive data privacy during query execution. A data owner encrypts both on-chain and off-chain data in the privacy-preserving query mechanism before sending it to the blockchain and cloud. A CSP can perform search operations on the encrypted on-chain and off-chain data to ensure sensitive data privacy. A multisignature-powered query verification model is also built for the blockchain. The query verification model allows each blockchain node to endorse the query result individually and a user to verify the endorsement of the query result before use. The experiments revealed the high efficiency and scalability of the proposed framework.

Kebencanaan Akibat Pandemi

In accordance with the motto of the USU Library "Library is the Heart of the University", of course the academic community within USU really needs library services. As a result of the covid19 pandemic, which was faced by USU to continue to provide the best services that could be utilized by the academic community of the University of North Sumatra. This paper aims to explain and find out the innovations made through the USU library's excellent service: disaster due to pandemic. Excellence services available are: 1). Turniti test service, 2). University library book ordering service, 3). Branch library book ordering service, 4). Short loan collection book ordering service (KPS), 5). Student Final Project Services, 6). Service for ordering e-journal articles and e-books, 7). SKBP (library free certificate). The method used is a literature study. The data sources for this paper are the USU Library's web and social media. The results of this study are 1). Access: convenience and facilities, 2). Content: number of types, and organization, 3). Search facility: search system, and display of results.

E-Hospicare Management System

This project E-Hospicare system includes registration of patients, storing their details into the system, and also computerized billing in the pharmacy, and labs. The software has the facility to give a unique id for every patient and stores the clinical details of every patient and hospital tests done automatically. It includes a search facility to know the current status of each patient. User can search details of a patient using the id. The E-Hospicare system can be entered using a username and password. It is accessible either by an administrator or receptionist. Only they can add data into the database. The data can be retrieved easily. The interface is very user-friendly. The data are well protected for personal use and makes the data processing very fast.