Relevant bibliographies by topics / File systems management

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'File systems management'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "File systems management"

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Wang, Yingxu, Cyprian F. Ngolah, Xinming Tan, Yousheng Tian, and Phillip C. Y. Sheu. "The Formal Design Model of a File Management System (FMS)." International Journal of Software Science and Computational Intelligence 3, no. 1 (2011): 90–113. http://dx.doi.org/10.4018/jssci.2011010107.

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Files are a typical abstract data type for data objects and software modeling, which provides a standard encapsulation and access interface for manipulating large-volume information and persistent data. File management systems are an indispensable component of operating systems and real-time systems for file manipulations. This paper develops a comprehensive design pattern of files and a File Management System (FMS). A rigorous denotational mathematics, Real-Time Process Algebra (RTPA), is adopted, which allows both architectural and behavioral models of files and FMS to be rigorously designed and implemented in a top-down approach. The conceptual model, architectural model, and the static/dynamic behavioral models of files and FMS are systematically presented. This work has been applied in the design and modeling of a real-time operating system (RTOS+).
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Stevic, Milorad Pantelija, Branko Milosavljevic, and Branko Rade Perisic. "Enhancing the management of unstructured data in e-learning systems using MongoDB." Program 49, no. 1 (2015): 91–114. http://dx.doi.org/10.1108/prog-11-2013-0063.

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Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implications – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.
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Girone, Maria. "Distributed Data Management and Distributed File Systems." Journal of Physics: Conference Series 664, no. 4 (2015): 042022. http://dx.doi.org/10.1088/1742-6596/664/4/042022.

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Nunn, Hilary. "Information management in practice. Case study 2." Journal of Information Science 12, no. 6 (1986): 301–4. http://dx.doi.org/10.1177/016555158601200609.

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A description of Chem Systems as a chemical engineering consultancy and its general information requirements is given. The background to the purchase of INMAGIC software and its initial applications is then provided. Alternative uses of this software have been made and a number of non-typical infor mation databases have been created. These include a file detailing multi-client titles and their purchasers, a file contain ing the names and addresses of contacts (glorified mailing list) and files containing CV type information for existing staff and external consultants. Some indication is made of uses to which these files have been put. Finally, some comments regarding how an information scientist became involved in organizing these files are presented.
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Nosrati, Masoud, and Mahmood Fazlali. "Community-based replica management in distributed systems." International Journal of Web Information Systems 14, no. 1 (2018): 41–61. http://dx.doi.org/10.1108/ijwis-01-2017-0006.

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Purpose One of the techniques for improving the performance of distributed systems is data replication, wherein new replicas are created to provide more accessibility, fault tolerance and lower access cost of the data. In this paper, the authors propose a community-based solution for the management of data replication, based on the graph model of communication latency between computing and storage nodes. Communities are the clusters of nodes that the communication latency between the nodes are minimum values. The purpose of this study if to, by using this method, minimize the latency and access cost of the data. Design/methodology/approach This paper used the Louvain algorithm for finding the best communities. In the proposed algorithm, by requesting a file according to the nodes of each community, the cost of accessing the file located out of the applicant’s community was calculated and the results were accumulated. On exceeding the accumulated costs from a specified threshold, a new replica of the file was created in the applicant’s community. Besides, the number of replicas of each file should be limited to prevent the system from creating useless and redundant data. Findings To evaluate the method, four metrics were introduced and measured, including communication latency, response time, data access cost and data redundancy. The results indicated acceptable improvement in all of them. Originality/value So far, this is the first research that aims at managing the replicas via community detection algorithms. It opens many opportunities for further studies in this area.
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Igor, Mandrichenko. "MetaCat - metadata catalog for data management systems." EPJ Web of Conferences 251 (2021): 02048. http://dx.doi.org/10.1051/epjconf/202125102048.

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Metadata management is one of three major areas of scientific data management along with replica management and workflow management. Metadata is the information describing the data stored in a data item, a file or an object. It includes the data item provenance, recording conditions, format and other attributes. MetaCat is a metadata management database designed and developed for High Energy Physics experiments. As a component of a data management system, it’s main objectives are to provide efficient metadata storage and management and fast data selection functionality. MetaCat is required to work on the scale of 100 million files (or objects) and beyond. The article will discuss the functionality of MetaCat and technological solutions used to implement the product.
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Wang, Zhi Dong, Gang Wang, and Bo Yang. "NXD-Based SCL File Management and Dynamic Implementation in IEDs." Advanced Materials Research 433-440 (January 2012): 3629–35. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3629.

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In IEC61850 substation automation systems (SASs), substation configuration description language (SCL) is suggested to assure seamless information exchange among various intelligent electronic devices (IEDs) from different manufacturers in the form of unambiguous and standardized XML. In the paper, native XML database (NXD) is proposed to store and manage SCL files since NXD takes advantage over XML enabled database (XED) in maintaining information integrity that is the most important factor of SCL file management. And the detailed process of SCL file dynamic implementation in IEDs is demonstrated. According to information with different communication real-time requirements, configuration information from SCL files will be extracted in advance or only when the information is used. Finally, a testbed built by open source software Libxml2 under Linux system verifies the effectiveness of SCL file information extraction using Xpath.
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Li, Xiuqiao, Limin Xiao, Xie Ke, Bin Dong, Ruan Li, and Dongmei Liu. "Towards hybrid client-side cache management in network-based file systems." Computer Science and Information Systems 11, no. 1 (2014): 271–89. http://dx.doi.org/10.2298/csis130127008l.

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Client-side caching is an effective technique to hide network latency and improve I/O performance in network-based file systems. Current methods mainly adopt block-indexed caching structures, which suffer cache inefficiency problems in high concurrency environment. In this paper, we present a hybrid client-side caching scheme (HCCache) to avoid performance degradation caused by the block interleaving problem and increase the cache space efficiency by customizing content addressable levels for files with different sizes. Two new metrics are also proposed to accurately evaluate cache efficiency compared with the metrics of hit rate. Extensive simulations show the I/O performance with HCCache can be improved by 34.2 percent and 6.1 percent in average for read requests and 37.8 percent and 27.8 percent in average for write requests in terms of I/O bandwidth and access latency, respectively. Meanwhile, HCCache can significantly reduce the lookup times of content addressable data blocks and improve the access latency for small files.
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Song, Nae Young, Hwajung Kim, Hyuck Han, and Heon Young Yeom. "Optimizing of metadata management in large-scale file systems." Cluster Computing 21, no. 4 (2018): 1865–79. http://dx.doi.org/10.1007/s10586-018-2814-7.

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Singh Raju, Rajender, Panna Mangat, Saleem Azhar, and Sana. "C-Shaped canal system - A Case report." UNIVERSITY JOURNAL OF DENTAL SCIENCES 6, no. 2 (2020): 83–85. http://dx.doi.org/10.21276/ujds.2020.6.2.12.

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ABSTRACT
 C-shaped canals are anatomic variants in root canal morphology. This c-shaped configuration should be diagnosed earliest as it influences the management of such cases more efficiently. They pose challenges in shaping, cleaning and obturating protocols. We require a file system which can contact and shape all possible surfaces of the c-shaped canal. Some of these file systems are XP-endo shaper files (FKG), SAF (ReDent NOVA). For cleaning, advocated systems are XP- endo finisher files (FKG), SAF, ultrasonic files like irrisafe, sonic files (endo-activator), endo-vac system. 3-D obturation should be done wih downpack and backfill technique (warm vertical or continuous wave of compaction)
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Dissertations / Theses on the topic "File systems management"

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Folmer, Brennan Thomas. "Metadata storage for file management systems data storage and representation techniques for a file management system /." [Gainesville, Fla.] : University of Florida, 2002. http://purl.fcla.edu/fcla/etd/UFE1001141.

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Nayak, Amiyaranjan Carleton University Dissertation Computer Science. "Decentralized management of distributed file systems." Ottawa, 1985.

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Laitala, J. (Joni). "Metadata management in distributed file systems." Bachelor's thesis, University of Oulu, 2017. http://urn.fi/URN:NBN:fi:oulu-201709092881.

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The purpose of this research has been to study the architectures of popular distributed file systems used in cloud computing, with a focus on their metadata management, in order to identify differences between and issues within varying designs from the metadata perspective. File system and metadata concepts are briefly introduced before the comparisons are made.
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Ma, Shanshan Wiedenbeck Susan McCain Katherine Wootton. "Using hierarchical folders and tags for file management /." Philadelphia, Pa. : Drexel University, 2010. http://hdl.handle.net/1860/3271.

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Gu, Peng. "METADATA AND DATA MANAGEMENT IN HIGH PERFORMANCE FILE AND STORAGE SYSTEMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2155.

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With the advent of emerging "e-Science" applications, today's scientific research increasingly relies on petascale-and-beyond computing over large data sets of the same magnitude. While the computational power of supercomputers has recently entered the era of petascale, the performance of their storage system is far lagged behind by many orders of magnitude. This places an imperative demand on revolutionizing their underlying I/O systems, on which the management of both metadata and data is deemed to have significant performance implications. Prefetching/caching and data locality awareness optimizations, as conventional and effective management techniques for metadata and data I/O performance enhancement, still play their crucial roles in current parallel and distributed file systems. In this study, we examine the limitations of existing prefetching/caching techniques and explore the untapped potentials of data locality optimization techniques in the new era of petascale computing. For metadata I/O access, we propose a novel weighted-graph-based prefetching technique, built on both direct and indirect successor relationship, to reap performance benefit from prefetching specifically for clustered metadata serversan arrangement envisioned necessary for petabyte scale distributed storage systems. For data I/O access, we design and implement Segment-structured On-disk data Grouping and Prefetching (SOGP), a combined prefetching and data placement technique to boost the local data read performance for parallel file systems, especially for those applications with partially overlapped access patterns. One high-performance local I/O software package in SOGP work for Parallel Virtual File System in the number of about 2000 C lines was released to Argonne National Laboratory in 2007 for potential integration into the production mode.<br>Ph.D.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Computer Engineering PhD
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Lofstead, Gerald Fredrick. "Extreme scale data management in high performance computing." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37232.

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Extreme scale data management in high performance computing requires consideration of the end-to-end scientific workflow process. Of particular importance for runtime performance, the write-read cycle must be addressed as a complete unit. Any optimization made to enhance writing performance must consider the subsequent impact on reading performance. Only by addressing the full write-read cycle can scientific productivity be enhanced. The ADIOS middleware developed as part of this thesis provides an API nearly as simple as the standard POSIX interface, but with the flexibilty to choose what transport mechanism(s) to employ at or during runtime. The accompanying BP file format is designed for high performance parallel output with limited coordination overheads while incorporating features to accelerate subsequent use of the output for reading operations. This pair of optimizations of the output mechanism and the output format are done such that they either do not negatively impact or greatly improve subsequent reading performance when compared to popular self-describing file formats. This end-to-end advantage of the ADIOS architecture is further enhanced through techniques to better enable asychronous data transports affording the incorporation of 'in flight' data processing operations and pseudo-transport mechanisms that can trigger workflows or other operations.
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Cao, Jinwei. "LEARNING WITH VIRTUAL MENTORS: HOW TO MAKE E-LEARNING INTERACTIVE AND EFFECTIVE?" Diss., Tucson, Arizona : University of Arizona, 2005. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu%5Fetd%5F1196%5F1%5Fm.pdf&type=application/pdf.

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Bourget, Jean Paul. "Role-based file archiving /." Online version of thesis, 2008. http://hdl.handle.net/1850/8045.

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Paul, Arnab Kumar. "An Application-Attuned Framework for Optimizing HPC Storage Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99793.

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High performance computing (HPC) is routinely employed in diverse domains such as life sciences, and Geology, to simulate and understand the behavior of complex phenomena. Big data driven scientific simulations are resource intensive and require both computing and I/O capabilities at scale. There is a crucial need for revisiting the HPC I/O subsystem to better optimize for and manage the increased pressure on the underlying storage systems from big data processing. Extant HPC storage systems are designed and tuned for a specific set of applications targeting a range of workload characteristics, but they lack the flexibility in adapting to the ever-changing application behaviors. The complex nature of modern HPC storage systems along with the ever-changing application behaviors present unique opportunities and engineering challenges. In this dissertation, we design and develop a framework for optimizing HPC storage systems by making them application-attuned. We select three different kinds of HPC storage systems - in-memory data analytics frameworks, parallel file systems and object storage. We first analyze the HPC application I/O behavior by studying real-world I/O traces. Next we optimize parallelism for applications running in-memory, then we design data management techniques for HPC storage systems, and finally focus on low-level I/O load balance for improving the efficiency of modern HPC storage systems.<br>Doctor of Philosophy<br>Clusters of multiple computers connected through internet are often deployed in industry and laboratories for large scale data processing or computation that cannot be handled by standalone computers. In such a cluster, resources such as CPU, memory, disks are integrated to work together. With the increase in popularity of applications that read and write a tremendous amount of data, we need a large number of disks that can interact effectively in such clusters. This forms the part of high performance computing (HPC) storage systems. Such HPC storage systems are used by a diverse set of applications coming from organizations from a vast range of domains from earth sciences, financial services, telecommunication to life sciences. Therefore, the HPC storage system should be efficient to perform well for the different read and write (I/O) requirements from all the different sets of applications. But current HPC storage systems do not cater to the varied I/O requirements. To this end, this dissertation designs and develops a framework for HPC storage systems that is application-attuned and thus provides much improved performance than other state-of-the-art HPC storage systems without such optimizations.
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Lacher, Laurel J. "Response functions in the critical comparison of conjunctive management systems in two western states." Thesis, The University of Arizona, 1992. http://etd.library.arizona.edu/etd/GetFileServlet?file=file:///data1/pdf/etd/azu_e9791_1992_545_sip1_w.pdf&type=application/pdf.

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Books on the topic "File systems management"

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Brown, Patricia Todd. File management. South-Western, 2002.

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File management techniques: For systems analysis. Krieger Pub., 1991.

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Khosrowpour, Mehdi. Microcomputer systems: Management and applications. Boyd & Fraser Pub. Co., 1990.

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Harbron, Thomas R. File systems: Structures and algorithms. Prentice-Hall International, 1988.

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Rodgers, Ulka. UNIX database management systems. Yourdon Press, 1990.

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Dinerstein, Nelson T. Database and file management systems for the microcomputer. Scott, Foresman, 1985.

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McNitt, Lawrence L. Productivity software applications for management information systems. Business and Educational Technologies, 1994.

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Delobel, Claude. Relational database systems. North-Holland, 1985.

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Mission-critical systems management. Prentice Hall, 1997.

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Bisland, Ralph B. Database management: Developing application systems using ORACLE. Prentice-Hall, 1989.

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Book chapters on the topic "File systems management"

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Theaker, Colin J., and Graham R. Brookes. "File Management." In Concepts of Operating Systems. Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-11511-2_7.

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Herminghaus, Volker. "File Systems." In Storage Management in Data Centers. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-85023-6_12.

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Królikowski, Zbyszko, and Tadeusz Morzy. "Database Systems: from File Systems to Modern Database Systems." In Handbook on Data Management in Information Systems. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-24742-5_2.

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Kumazaki, Kimihito. "Design of the CTRON File Management." In TRON Project 1987 Open-Architecture Computer Systems. Springer Japan, 1987. http://dx.doi.org/10.1007/978-4-431-68069-7_15.

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Liao, Jianwei, Guoqiang Xiao, Xiaoyan Liu, and Lingyu Zhu. "Dynamic Stripe Management Mechanism in Distributed File Systems." In Advanced Information Systems Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-44917-2_41.

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Babaoğlu, Özalp, Alberto Bartoli, and Gianluca Dini. "Replicated file management in large-scale distributed systems." In Distributed Algorithms. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/bfb0020420.

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García, F., J. Carretero, F. Pérez, and P. de Miguel. "High Performance Cache Management for Parallel File Systems." In Vector and Parallel Processing – VECPAR’98. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10703040_35.

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Thu, May Phyo, Khine Moe Nwe, and Kyar Nyo Aye. "Dynamic Replication Management Scheme for Distributed File System." In Advances in Intelligent Systems and Computing. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-0869-7_16.

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Tian, Zhiwei, and Xiangkun Li. "Application of Artificial Intelligence Technology in Personnel File Management." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70042-3_112.

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Radecký, Michal, Jan Martinovič, Dušan Fedorčák, Radek Tomis, and Ivo Vondrák. "Using Extended Raster File for Real Time Traffic Information Mining." In Computer Information Systems and Industrial Management. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33260-9_36.

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Conference papers on the topic "File systems management"

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Mohammed, Gufran, Heru Xue, and Jiang Guo. "Web Based UNIX File Management System." In 2010 7th Web Information Systems and Applications Conference (WISA). IEEE, 2010. http://dx.doi.org/10.1109/wisa.2010.9.

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Brandt, Scott, Carlos Maltzahn, Neoklis Polyzotis, and Wang-Chiew Tan. "Fusing data management services with file systems." In the 4th Annual Workshop. ACM Press, 2009. http://dx.doi.org/10.1145/1713072.1713085.

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Jaegeuk Kim, Heeseung Jo, H. Shim, Jin-Soo Kim, and Seungryoul Maeng. "Efficient Metadata Management for Flash File Systems." In 11th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing (ISORC '08). IEEE, 2008. http://dx.doi.org/10.1109/isorc.2008.34.

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Satyanarayanan, Mahadev. "Evolution of file and memory management." In SOSP '15: ACM SIGOPS 25th Symposium on Operating Systems Principles. ACM, 2015. http://dx.doi.org/10.1145/2830903.2830907.

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Zhou, Zhou, and Tian Song. "File-Aware P2P Traffic Classification and Management." In 2011 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS). IEEE, 2011. http://dx.doi.org/10.1109/ancs.2011.39.

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Okada, Y., M. Tokuyo, S. Yoshida, N. Okayasu, and H. Shimoi. "Effective management of compressed data with packed file systems." In Proceedings DCC '97. Data Compression Conference. IEEE, 1997. http://dx.doi.org/10.1109/dcc.1997.582127.

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"Using File Systems for Non-volatile Main Memory Management." In International Conference on Pervasive and Embedded Computing and Communication Systems. SciTePress - Science and and Technology Publications, 2013. http://dx.doi.org/10.5220/0004330702080213.

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Kyoungsoo Bok, Jongtae Lim, Hyunkyo Oh, and Jaesoo Yoo. "An efficient cache management scheme for accessing small files in Distributed File Systems." In 2017 IEEE International Conference on Big Data and Smart Computing (BigComp). IEEE, 2017. http://dx.doi.org/10.1109/bigcomp.2017.7881731.

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Wang, Feng, Hongmei Zhang, Huifang Hou, et al. "Data file audit for local taxation management information system." In 2012 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2012. http://dx.doi.org/10.1109/fskd.2012.6233942.

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Heo, Ingoo, Sanghyun Park, and Yunheung Paek. "Compiler and microarchitectural approaches for register file thermal management." In 2012 IEEE International Symposium on Circuits and Systems - ISCAS 2012. IEEE, 2012. http://dx.doi.org/10.1109/iscas.2012.6271829.

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Reports on the topic "File systems management"

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Brandt, Scott. Adding Data Management Services to Parallel File Systems. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1171718.

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Scott, Joe H. Comparison of crown fire modeling systems used in three fire management applications. U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2006. http://dx.doi.org/10.2737/rmrs-rp-58.

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Portier, Rebecca W. Fire data management system, FDMS 2.0, technical documentation. National Bureau of Standards, 1994. http://dx.doi.org/10.6028/nist.tn.1407.

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Spivack, Marla. Applying Systems Thinking to Education: The RISE Systems Framework. Research on Improving Systems of Education (RISE), 2021. http://dx.doi.org/10.35489/bsg-rise-ri_2021/028.

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Many education systems in low- and middle-income countries are experiencing a learning crisis. Many efforts to address this crisis do not account for the system features of education, meaning that they fail to consider the ways that interactions and feedback loops produce outcomes. Thinking through the feedback relationships that produce the education system can be challenging. The RISE Education Systems Framework, which is sufficiently structured to give boundaries to the analysis but sufficiently flexible to be adapted to multiple scenarios, can be helpful. The RISE Framework identifies four key relationships in an education system: politics, compact, management, and voice and choice; and five features that can be used to describe these relationships: delegation, finance, information, support, and motivation. This Framework can be a useful approach for characterising the key actors and interactions in the education system, thinking through how these interactions produce systems outcomes, and identifying ways to intervene that can shift the system towards better outcomes.
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Portier, Rebecca W., Richard D. Peacock, and Paule A. Reneke. Data structures for the fire data management system, FDMS 2.0. National Institute of Standards and Technology, 1997. http://dx.doi.org/10.6028/nist.ir.6088.

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Neeley, Aimee, Stace E. Beaulieu, Chris Proctor, et al. Standards and practices for reporting plankton and other particle observations from images. Woods Hole Oceanographic Institution, 2021. http://dx.doi.org/10.1575/1912/27377.

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This technical manual guides the user through the process of creating a data table for the submission of taxonomic and morphological information for plankton and other particles from images to a repository. Guidance is provided to produce documentation that should accompany the submission of plankton and other particle data to a repository, describes data collection and processing techniques, and outlines the creation of a data file. Field names include scientificName that represents the lowest level taxonomic classification (e.g., genus if not certain of species, family if not certain of genus) and scientificNameID, the unique identifier from a reference database such as the World Register of Marine Species or AlgaeBase. The data table described here includes the field names associatedMedia, scientificName/ scientificNameID for both automated and manual identification, biovolume, area_cross_section, length_representation and width_representation. Additional steps that instruct the user on how to format their data for a submission to the Ocean Biodiversity Information System (OBIS) are also included. Examples of documentation and data files are provided for the user to follow. The documentation requirements and data table format are approved by both NASA’s SeaWiFS Bio-optical Archive and Storage System (SeaBASS) and the National Science Foundation’s Biological and Chemical Oceanography Data Management Office (BCO-DMO).
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Bożek, Małgorzata. FILM PRODUCTION IN POLAND. STAGES: FROM AN IDEA TO THE SCREEN. Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11112.

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The Polish film system is characterized by a variety of forms. Michał Zabłocki, the author of the comprehensive study of the «Organization of the production of feature film in Poland», isolates two models of world cinema: a producer and a producer – director. The first one features the dominant role of the producer, which means the person who is responsible for the work of all the film departments – direction, cinematography, production management, scenography and costume design. The second one, the model which is still the most popular in Poland, assumes close cooperation between the producer and the director.
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8

Smith, S. Jarrell, David W. Perkey, and Kelsey A. Fall. Cohesive Sediment Field Study : James River, Virginia. U.S. Army Engineer Research and Development Center, 2021. http://dx.doi.org/10.21079/11681/41640.

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Estuaries trap much of the fine sediment delivered to them by rivers. This phenomenon presents challenges to the US Army Corps of Engineers (USACE) navigation mission, which maintains navigable waterways for waterborne commerce through estuarine regions. The USACE Regional Sediment Management Program and the USACE Norfolk District are conducting a regional sediment transport modeling study to identify cost-effective sediment management schemes in the James River, a tributary estuary of Chesapeake Bay. A key element of the sediment transport modeling study is the definition of cohesive sediment transport processes, such as erosion and settling velocity. This report describes field-based measurements of cohesive sediment erosion and settling velocity conducted in November 2017. The team conducted erosion testing on 15 cores collected throughout the tidal system. Additionally, two anchor stations were occupied to measure tidal variations in vertical distributions of suspended sediment concentration, particle size, and settling velocity. Recommended cohesive sediment transport parameters were developed from the field measurements.
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Swinson Evans, Tammeka, Suzanne West, Linda Lux, Michael Halpern, and Kathleen Lohr. Cancer Symptoms and Side Effects: A Research Agenda to Advance Cancer Care Options. RTI Press, 2017. http://dx.doi.org/10.3768/rtipress.2017.rb.0016.1707.

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Cancer survivors have unique physical, psychological, social, and spiritual health needs. These can include symptoms and side effects associated with cancer and cancer treatment, such as pain, cognitive dysfunction, insomnia, and elevated anxiety and depression. This research brief summarizes a landscape review done for the Patient Centered Outcomes Research Institute (PCORI) to develop a clear, comprehensive understanding of the state of research as of the mid-2000s. We conducted a targeted search strategy to identify projects funded by federal and commercial sources and the American Cancer Society (ACS) in addition to identifying funding opportunities released by the National Institutes of Health (NIH). We conducted additional review to identify studies focused on symptom and side-effect measures and five priority topic areas (selected by PCORI prior to the review) in the following five databases (from January 2005- through September 2015) with an inclusion criteria in an adapted PICOTS framework (populations, interventions, comparators, outcomes, time frames, and settings). We identified 692 unduplicated studies (1/2005 to 9/2015) and retained 189 studies about cancer symptom and side-effect management. Of these studies, NIH funded 40% and the ACS 33%. Academic institutions, health care systems, other government agencies, and private foundations or industry supported the remainder. We identified critical gaps in the knowledge base pertaining to populations, interventions, comparators (when those are relevant for comparative effectiveness reviews), and outcomes. We also discovered gaps in cross-cutting topics, particularly for patient decision-making studies, patient self-management of cancer symptoms and side effects, and coordinated care.
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Akinleye, Taiwo, Idil Deniz Akin, Amanda Hohner, et al. Evaluation of Electrochemical Treatment for Removal of Arsenic and Manganese from Field Soil. Illinois Center for Transportation, 2021. http://dx.doi.org/10.36501/0197-9191/21-019.

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Soils containing inorganic compounds are frequently encountered by transportation agencies during construction within the right-of-way, and they pose a threat to human health and the environment. As a result, construction activities may experience project delays and increased costs associated with management of inorganic compounds containing soils required to meet environmental regulations. Recalcitrance of metal-contaminated soils toward conventional treatment technologies is exacerbated in clay or organic content-rich fine-grained soils with low permeability and high sorption capacity because of increased treatment complexity, cost, and duration. The objective of this study was to develop an accelerated in situ electrochemical treatment approach to extract inorganic compounds from fine-grained soils, with the treatment time comparable to excavation and off-site disposal. Three reactor experiments were conducted on samples collected from two borehole locations from a field site in Illinois that contained arsenic (As)(~7.4 mg/kg) and manganese (Mn)(~700 mg/kg). A combination of hydrogen peroxide (H2O2) and/or citrate buffer solution was used to treat the soils. A low-intensity electrical field was applied to soil samples using a bench-scale reactor that resembles field-scale in situ electrochemical systems. For the treatment using 10% H2O2 and citrate buffer solution, average removal of 23% and 8% were achieved for Mn and As, respectively. With 4% H2O2 and citrate buffer, 39% and 24% removal were achieved for Mn and As; while using only citrate buffer as the electrolyte, 49% and 9% removal were achieved for Mn and As, respectively. All chemical regimes adopted in this study reduced the inorganic compound concentrations to below the maximum allowable concentration for Illinois as specified by the Illinois Environmental Protection Agency. The results from this work indicate that electrochemical systems that leverage low concentrations of hydrogen peroxide and citrate buffer can be effective for remediating soils containing manganese and arsenic.
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