State Data Centers: improving access to census information.

It is often said that looking into the future requires knowing where you are and where you have been. Every four years, The Reproductive Sciences Branch (RSB) of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) has an opportunity to do just that. In January of 2007, the RSB presented its accomplishments (primarily grantee research advances and program initiatives) and future directions to the National Advisory Child Health and Human Development Council (NACHHD).* To aid in identifying these future directions, the RSB convened an Advisory Panel in early 2006 comprised of outstanding leaders in the field of reproductive biology and medicine. Their recommendations, coupled with staff input, resulted in the identification of 10 future directions; all equally important in their own right. This article presents some of these directions as they relate to the future vitality and, indeed, survival of the reproductive sciences at a time when increased competition for precious resources and shifting priorities could jeopardize advances in this critically important field. Before proceeding, it might be useful to review the role of the RSB at the NICHD. The RSB is the largest funding source in the Federal Government (and maybe the world) for the support of research in the reproductive sciences. In fiscal year (FY) 2007, the RSB support for research and research training activities totaled nearly US$140 million. The RSB uses a diverse portfolio of grant funding mechanisms to carry out its funding mandate. In addition to the suite of funding mechanisms used to support individual research grants (eg, R01, R03, R21, etc), the Branch provides support for institutional training grants (T32), individual and institutional career development awards (K08, K23, K24, K12), fellowships (F31, F32), and program project grants (P01). The RSB also administers a clinical trials network and centers program through the use of cooperative agreements (U10, U54). Approximately 70% of the total FY 2007 Branch budget funded research project grants including program projects, 16% went to the support of research centers, and the remaining 14% funded training and career development activities. All total, 486 awards were administered by the RSB in FY 2007.

The circuit rider librarian concept is discussed. The implementation and growth of the circuit librarian programs serving mral hospitals in New York and Pennsylvania are reported. The circuit rider librarian's schedule and functions are discussed, including time spent on the road and at Ihe resource library, reference services and other library services. Financing, budgeting, and personal contact are stressed. Detailed reference statistics are provided to illustrate the growth of library services; statistics are also analyzed by requester category. Future directions, potential, and recommendations are given for the creation of circuit library programs.

Vision sensors in Internet of Things (IoT)-connected smart cities play a vital role in the exponential growth of video data, thereby making its analysis and storage comparatively tough and challenging. Those sensors continuously generate data for 24 hours, which requires huge storage resources, dedicated networks for sharing with data centers, and most importantly, it makes browsing, retrieval, and event searching a difficult and time-consuming job. Video summarization (VS) is a promising direction toward a solution to these problems by analyzing the visual contents acquired from a vision sensor and prioritizing them based on events, saliency, person's appearance, and so on. However, the current VS literature still lacks focus on resource-constrained devices that can summarize data over the edge and upload it to data repositories efficiently for instant analysis. Therefore, in this article, we carry out a survey of functional VS methods to understand their pros and cons for resource-constrained devices, with the ambition to provide a compact tutorial to the community of researchers in the field. Further, we present a novel saliency-aware VS framework, incorporating 5G-enabled IoT devices, which keeps only important data, thereby saving storage resources and providing representative data for immediate exploration. Keeping privacy of data as a second priority, we intelligently encrypt the salient frames over resource-constrained devices before transmission over the 5G network. The reported experimental results show that our proposed framework has additional benefits of faster transmission (1.8~13.77 percent frames of a lengthy video are considered for transmission), reduced bandwidth, and real-time processing compared to state-of-the-art methods in the field.

Age of Information minimization in UAV-aided data collection for WSN and IoT applications: A systematic review

The uncertain cloud: State of the art and research challenges

A survey on architectures and energy efficiency in Data Center Networks

An overview of virtual machine placement schemes in cloud computing

Metaverse is a compound word of “Meta” and “Universe”, meaning a world that transcends reality, a new virtual world. Due to the COVID-19 pandemic, non-face-to-face further accelerated the activation of the Metaverse. The Metaverse has the attractiveness of arousing user interest, high service scalability, and the potential to combine multiple revenue models. Therefore, many industries are adopting the Metaverse. The Republic of Korea has been on a ceasefire, since 1953, after the Korean War. After the war, the DMZ was decided in an area of 2 km from north to south (total of 4 km), centered on the Military Demarcation Line (MDL). The DMZ area is the largest nature conservation area in Asia and a military area where public access is strictly restricted. The Ministry of Unification is trying to reduce tensions and establish peace in the DMZ area by raising the interest of Korean people, as well as people around the world, through the DMZ Metaverse application. The Korean government has its own e-Government framework and cloud operating environments. In order to adopt the Metaverse to Korean government agencies and operate them sustainably, it is essential to support the e-Government framework and the cloud environments. In this paper, the design features, architecture, models, and functions of OnTwins, a Metaverse platform serviceable in the Korean government IT operating environment, are elaborated in detail. The DMZ Metaverse public service built on the platform will also be introduced. Finally, after comparing it with other Metaverse platforms, future research directions are discussed.

As a greater number of electronic resources becomes available, retrieving relevant and authoritative information has become progressively more challenging and time consuming. Locating relevant information in a timely manner is critical for both the researcher and the information professional. Electronic books (eBooks) are one way to enhance the digital library with global 24-hours-a-day and 7-days-a-week access to authoritative information, and they enable users to quickly retrieve and access specific research material easily, quickly, and effectively. It is crucial to not only provide these electronic resources, but to integrate them into library systems to streamline library operations, as well as promote user adoption. As an eBook provider, netLibrary, a division of OCLC, Online Computer Library Center, has been involved in the selection, cataloguing, and distribution of eBooks. Library users are able to remotely search, locate, and checkout eBooks from the library’s online public access catalogs (OPACs). As with any new opportunity, new challenges emerge and utilising the internet to deliver book content is no exception. Integrating eBooks into the digital library has created challenges and opportunities for librarians, publishers, and eBooks providers. http://dx.doi.org/10.14429/dbit.23.1.3585

BackgroundResponse rates in surveys have been falling over the last 20 years, leading to the need for novel approaches to enhance recruitment. This study describes strategies used to maximise recruitment to a home interview survey of mothers with young children living in areas of high deprivation.MethodsMothers of two year old children received a letter from their GP inviting them to take part in a survey on diet. Participants were subsequently recruited by a researcher. The researcher first tried to contact potential participants by telephone, to discuss the study and make an appointment to conduct a home interview. Where telephone numbers for women could not be obtained from GP records, web searches of publicly available databases were conducted. After obtaining correct telephone numbers, up to six attempts were made to establish contact by telephone. If this was unsuccessful, a postal request for telephone contact was made. Where no telephone contact was achieved, the researcher sent up to two appointments by post to conduct a home interview.ResultsParticipating GPs invited 372 women to take part in a home based interview study. GP practices provided telephone numbers for 162 women, of which 134 were valid numbers. The researcher identified a further 187 numbers from electronic directories. Further searches of GP records by practice staff yielded another 38 telephone numbers. Thus, telephone numbers were obtained for 99% of potential participants.The recruitment rate from telephone contacts was 77%. Most of the gain was achieved within four calls. For the remaining women, contact by post and home visits resulted in 18 further interviews, corresponding to 35% of the women not recruited by telephone. The final interview rate was 82%. This was possible because personal contact was established with 95% of potential participants.ConclusionThis study achieved a high response rate in a hard to reach group. This was mainly achieved by first establishing contact by telephone. The use of multiple sources identified the telephone numbers of almost all the sample. Multiple attempts at telephone contact followed by postal approaches led to a high home interview rate.

Recognising our community as we head towards JEB's centenary in 2023.

Energy efficient task scheduling based on deep reinforcement learning in cloud environment: A specialized review

Korea implemented its Antarctic research program in 1987 and diversified to the Arctic in 2002. Since the development of the Joint Committee on Antarctic Data Management, Korea has acknowledged the importance of data management. The launch of the Korea Polar Research Institute in 2004 also saw establishment of the Korea Polar Data Center (KPDC), which outlines and executes a Polar Data Management Policy. KPDC has set up an Information Technology infrastructure and has developed a metadata management system. However, there is still a long way to go, especially in terms of raising researcher recognition for improving data registration and sharing.

Chapter 28 - Moving to the cloud, fog, and edge computing paradigms: Convergences and future research direction

Contemporary Distributed Computing Systems (DCS) such as Cloud Data Centers are large scale, complex, heterogeneous, and distributed across multiple networks and geographical boundaries. On the other hand, the Internet of Things (IoT)-driven applications are producing a huge amount of data that requires real-time processing and fast response. Managing these resources efficiently to provide reliable services to end-users or applications is a challenging task. The existing Resource Management Systems (RMS) rely on either static or heuristic solutions inadequate for such composite and dynamic systems. The advent of Artificial Intelligence (AI) due to data availability and processing capabilities manifested into possibilities of exploring data-driven solutions in RMS tasks that are adaptive, accurate, and efficient. In this regard, this paper aims to draw the motivations and necessities for data-driven solutions in resource management. It identifies the challenges associated with it and outlines the potential future research directions detailing where and how to apply the data-driven techniques in the different RMS tasks. Finally, it provides a conceptual data-driven RMS model for DCS and presents the two real-time use cases (GPU frequency scaling and data centre resource management from Google Cloud and Microsoft Azure) demonstrating AI-centric approaches' feasibility.