Measuring the use of students of the Department of Information Studies for social networks ... Section page on Facebook, model

Social networking is one of the most recently used technologies because of its advantages, spread and interaction. It is one of the most prominent applications of the second generation Web 2.0, which has effectively imposed itself on the users of the internet. Facebook network comes second after search engine at the global level, "Google". It is noted that they are highly efficient in providing information services and representation of information institutions and facilities in the virtual world. it is agreed that the progress of the societies is measured according to their ability to free and fast access to information and to use it to generate knowledge that reaches wisdom, progress and excellence. At this point, the importance of studies of information is shown in general and Webometrics in particular, which means that the set of statistical methods and measurements used to study the quantitative and qualitative aspects of information resources, structures, uses and techniques on the web, is found to be bibliometric studies designed to study and analyze reference citations, can be applied to the information resources available on the web such as the links of web pages and the use of those sites. Therefore, the study aims to monitor students' attitudes towards the use of social networking sites in general, and the Facebook page of the department of information studies of the Libyan Academy particularly. To identify the view of the students of the information management division and the management of the archive to their identify satisfaction with the information services provided by the page, and the extent of knowledge of the links of electronic sources of information, and the extent to meet their needs and scientific desires, and to what extent related to academic and research interests.

Ultrasonographic Applications in the Thorax

Rapid developments and increasing technological knowledge have changed perspectives on ultrasonography. Previously, ultrasonography was used to evaluate chest wall pathologies, to distinguish between pleural effusion and consolidation, to evacuate pleural effusion, or to evaluate diaphragm movement. Today, it is also used in a wide range of pleural and parenchymal diseases. Ultrasonography is not just used in the emergency department and the intensive care units. It is also utilized in many clinical branches dealing with the respiratory system—due to its ease of use, fast access, price advantage, non-radiation exposure, higher diagnostic sensitivity, and specificity in many clinical situations—and has become a part of the examination. In this review, we have assessed not just transthoracic ultrasonography but also more focal and targeted sonographic applications, such as the endobronchial ultrasound and esophageal ultrasound.

E-Transactions in Digital Era

The purpose of this research is to help marketplace providers utilize E-commerce to improve their business. The method used in this study is a survey and literature study from research that has been done before. The results show that the role of the e-commerce market in online business transactions is useful to attract buyers. Starting from product marketing through media such as social media, websites, and advertisements. The role of E-commerce marketplace in online business transactions provides many benefits such as fast access to transactions, availability of goods, and ease of accessing the site.

A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications

The Sentinel-1 Synthetic Aperture Radar (SAR) satellites allow global monitoring of the Earth’s land surface with unprecedented spatio-temporal coverage. Yet, implementing large-scale monitoring capabilities is a challenging task given the large volume of data from Sentinel-1 and the complex algorithms needed to convert the SAR intensity data into higher-level geophysical data products. While on-demand processing solutions have been proposed to cope with the petabyte-scale data volumes, in practice many applications require preprocessed datacubes that permit fast access to multi-year time series and image stacks. To serve near-real-time as well as offline land monitoring applications, we have created a Sentinel-1 backscatter datacube for all continents (except Antarctica) that is constantly being updated and maintained to ensure consistency and completeness of the data record over time. In this technical note, we present the technical specifications of the datacube, means of access and analysis capabilities, and its use in scientific and operational applications.

Analisis Limpasan Langsung Metode SCS Menggunakan Data Hujan TRMM Studi Kasus Subdas Code Hulu

Ketersediaan data menjadi hal yang krusial dalam analisis hidrologi. Banyak permasalahan menyangkut ketersediaan data yang seringkali ditemui di lapangan, seperti minimnya data, data yang tidak kontinyu, atau sebaran stasiun yang tidak merata. Seiring berkembangnya teknologi, permasalahan tersebut dapat diselesaikan dengan memanfaatkan data pengamatan satelit yang memiliki resolusi spasial dan temporal tinggi, cakupan luas, akses cepat, dan ekonomis. Akan tetapi, data satelit perlu divalidasi dengan data pengamatan nyata di lapangan. Penelitian ini dilakukan untuk validasi data satelit TRMM terhadap data observasi berbasis darat dengan membandingkan debit limpasan dari data hujan terukur di darat atau ARR (Automatic Rainfall Recorder) dengan data hujan TRMM, lalu dikoreksi dengan debit limpasan terukur di stasiun AWLR (Automatic Water Level Recorder) Gemawang. Debit limpasan dari hujan dihitung dengan menggunakan Metode SCS. Hasil penelitian menunjukan jeda waktu rata-rata pengukuran hujan TRMM dan ARR sekitar 8,5 jam. Ditemukan perbedaan bentuk hidrograf limpasanTRMM. Pada data 18 Januari 2018, terdapat kesalahan bentuk gelombang hidrograf (Ew) sebesar 11.843. Dari analisis indeks kesesuaian dan efisiensi, data satelit TRMM mendapat hasil koefisien korelasi rata-rata debit ARR-AWLR dan TRMM-AWLR tergolong rendah yaitu masing-masing sebesar 0,2416 dan 0,1041, sedangkan koefisien efisiensinya 1,67 yang dikategorikan sebagai data yang efisien. Availability of sufficient data as input data is important. Data availability tends to have several data problems, such as the lack of data availability, incomplete data, or the number of stations that are less scattered. As the development of the technology problems, those probelms can be solved by replacing ground-based observation data with satellite observations that have high spatial and temporal resolution, wide area coverage, fast access, and economics. This research was conducted to validate and correct TRMM satellite data on observation data at the AWLR Gemawang station with the SCS Method. The results of this study showed a delay in the average measurements of satellite rainfall and surface approximately 8.5 hours based on the data analysis used in this study. The results of the model error analysis can be concluded that TRMM rainfall data can be used in these needs. However, there is still an error in the TRMM data, which is on the data of January 18, 2018 which results in a hydrograph (Ew) waveform error of 11.843. From the conformity index and efficiency analysis, TRMM satellite data gets the correlation coefficient average ARR-AWLR debit of 0,2416 which is categorized as low efficiency data and TRMM-AWLR of 0,1041 which is categorized as quite low coefficient data, while the efficiency coefficient gets an average value 1,67 which is categorized as highly efficient optimization data.Availability of sufficient data as input data is important. Data availability tends to have several data problems, such as the lack of data availability, incomplete data, or the number of stations that are less scattered. As the development of the technology problems, those probelms can be solved by replacing ground-based observation data with satellite observations that have high spatial and temporal resolution, wide area coverage, fast access, and economics. This research was conducted to validate and correct TRMM satellite data on observation data at the AWLR Gemawang station with the SCS Method. The results of this study showed a delay in the average measurements of satellite rainfall and surface approximately 8.5 hours based on the data analysis used in this study. The results of the model error analysis can be concluded that TRMM rainfall data can be used in these needs. However, there is still an error in the TRMM data, which is on the data of January 18, 2018 which results in a hydrograph (Ew) waveform error of 11.843. From the conformity index and efficiency analysis, TRMM satellite data gets the correlation coefficient average ARR-AWLR debit of 0,2416 which is categorized as low efficiency data and TRMM-AWLR of 0,1041 which is categorized as quite low coefficient data, while the efficiency coefficient gets an average value 1,67 which is categorized as highly efficient optimization data.

Evaluation of a Novel Teleradiology Technology for Image-Based Distant Consultations: Applications in Neurosurgery

In emergency settings, fast access to medical imaging for diagnostic is pivotal for clinical decision making. Hence, a need has emerged for solutions that allow rapid access to images on small mobile devices (SMD) without local data storage. Our objective was to evaluate access times to full quality anonymized DICOM datasets, comparing standard access through an authorized hospital computer (AHC) to a zero-footprint teleradiology technology (ZTT) used on a personal computer (PC) or SMD using national and international networks at a regional neurosurgical center. Image datasets were sent to a senior neurosurgeon, outside the hospital network using either an AHC and a VPN connection or a ZTT (Image Over Globe (IOG)), on a PC or an SMD. Time to access DICOM images was measured using both solutions. The mean time using AHC and VPN was 250 ± 10 s (median 249 s (233–274)) while the same procedure using IOG took 50 ± 8 s (median 49 s (42–60)) on a PC and 47 ± 20 s (median 39 (33–88)) on a SMD. Similarly, an international consultation was performed requiring 23 ± 5 s (median 21 (16–33)) and 27 ± 1 s (median 27 (25–29)) for PC and SMD respectively. IOG is a secure, rapid and easy to use telemedicine technology facilitating efficient clinical decision making and remote consultations.

Survey on Applications of Blockchain in E-Governance

Block chain is a distributed ledger that offers secure and immutable storage. E–governance allows exchange of information between government and citizens or organizations through latest information and communication technologies. The E governance services facilitate efficient and fast access of services; on the other hand it raises potential risks of breaching into privacy and Security. Blockchain based e-governance system offers secure and transparent services without intermediary. This paper investigates the scope and challenges of adopting blockchain technology as a platform for E-Governance.

A Norwegian Approach to Downscaling

A description of a comprehensive geoscientific downscaling model strategy is presented outlining an approach that has evolved over the last 20 years, together with an explanation for its development, its technical aspects, and evaluation scheme. This effort has resulted in an open-source and free R-based tool, 'esd', for the benefit of sharing and improving the reproducibility of the downscaling results. Furthermore, a set of new metrics was developed as an integral part of the downscaling approach which assesses model performance with an emphasis on regional information for society (RifS). These metrics involve novel ways of comparing model results with observational data and have been developed for downscaling large multi-model global climate model ensembles. A literature search suggests that this comprehensive downscaling strategy and evaluation scheme are not widely used within the downscaling community. In addition, a new convention for storing large datasets of ensemble results that provides fast access to information and drastically saves data volume is explained.