Academic literature on the topic 'Master file table'

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Journal articles on the topic "Master file table"

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Taskin, Suleyman Gokhan, and Ecir Ugur Kucuksille. "Recovering Data Using MFT Records in NTFS File System." Academic Perspective Procedia 1, no. 1 (2018): 448–57. http://dx.doi.org/10.33793/acperpro.01.01.88.

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Data storage devices use a specific structure when storing or accessing the stored data. This is called file system. Before beginning to store data in the data storage device, it must be formatted absolutely. While this data storage device is being formatted, the file system should be selected.NTFS, the most commonly used file system, keeps the files in the disk as a list in the MFT (Master File Table) file. Even if the file is deleted, the file record in this table will not be deleted. The physical location of the file can be found by looking at these MFT records.In this study, computer software was created on the basis of restoring the disk using a MFT file of the NTFS file system, and the result was examined.When national studies are examined, data recovery programs on the market are compared with each other. When international studies are examined, it is seen that NTFS and MFT concepts are explained but data recovery method using MFT records is not examined in detail.
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Hussein, Ismael Sahib, Hidayah Ab Rahman Nurul, Kazem Al-Qaysi Ali, and L. Attiah Mothana. "Comparison of data recovery techniques on master file table between Aho-Corasick and logical data recovery based on efficiency." TELKOMNIKA Telecommunication, Computing, Electronics and Control 19, no. 1 (2021): pp. 73~78. https://doi.org/10.12928/TELKOMNIKA.v19i1.16276.

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Data recovery is one of the tools used to obtain digital forensics from various storage media that rely entirely on the file system used to organize files in these media. In this paper, two of the latest techniques of file recovery from file system (new technology file system (NTFS)) logical data recovery, Aho Corasick data recovery were studied, examined and a practical comparison was made between these two techniques according to the speed and accuracy factors using three global datasets. It was noted that all previous studies in this field completely ignored the time criterion despite the importance of this standard. On the other hand, algorithms developed with other algorithms were not compared. The proposed comparison of this paper aims to detect the weaknesses and strength of both algorithms to develop a new algorithm that is more accurate and faster than both algorithms. The paper concluded that the logical algorithm was superior to the Aho-Corasick algorithm according to the speed criterion, whereas the algorithms gave the same results according to the accuracy criterion. The paper leads to a set of suggestions for future research aimed at achieving a highly efficient and high-speed data recovery algorithm such as the file-carving algorithm.  
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Opim, Salim Sitompul, Handoko Andrew, and Fadillah Rahmat Romi. "File Reconstruction in Digital Forensic." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 2 (2018): 776–94. https://doi.org/10.12928/TELKOMNIKA.v16i2.8230.

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File recovery is one of the stages in computer forensic investigative process to identify an acquired file to be used as digital evident. The recovery is performed on files that have been deleted from a file system. However, in order to recover a deleted file, some considerations should be taken. A deleted file is potentially modified from its original condition because another file might either partly or entirely overriding the file content. A typical approach in recovering deleted file is to apply Boyer-Moore algorithm that has rather high time complexity in terms of string searching. Therefore, a better string matching approach for recovering deleted file is required. We propose Aho-Corasick parsing technique to read file attributes from the master file table (MFT) in order to examine the file condition. If the file was deleted, then the parser search the file content in order to reconstruct the file. Experiments were conducted using several file modifications, such as 0% (unmodified), 18.98%, 32.21% and 59.77%. From the experimental results we found that the file reconstruction process on the file system was performed successfully. The average successful rate for the file recovery from four experiments on each modification was 87.50% and for the string matching process average time on searching file names was 0.32 second.
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Darnowski, Fryderyk, and Andrzej Chojnacki. "Writing and Deleting files on hard drives with NTFS." Computer Science and Mathematical Modelling, no. 8/2018 (March 25, 2019): 5–15. http://dx.doi.org/10.5604/01.3001.0013.1457.

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The goal of this article was to present detailed information about writing and deleting process on the NTFS (New Technology File System) formatted drives. The most important are the algorithms used by computer to write data BFA (Best Fit Algorithm) and FFA (First-Free Algorithm) to update $MFT (Master File Table). The naming convention of the areas of the drive is presented. The proposed rules of writing and deleting algorithm were successfully validated with real NTFS volume.
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Elrick, Douglas. "Artifacts of CD Burning in the Microsoft Windows Master File Table." Journal of Forensic Sciences 57, no. 1 (2011): 103–7. http://dx.doi.org/10.1111/j.1556-4029.2011.01919.x.

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Freitas, Stephen A., Ross MacKenzie, David N. Wylde, et al. "All-Cause Mortality for Diabetics or Individuals with Hyperglycemia Applying for Life Insurance." Journal of Insurance Medicine 46, no. 1 (2016): 2–12. http://dx.doi.org/10.17849/0743-6661-46.1.2.

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Diabetics and individuals with lab results consistent with a diagnosis of diabetes or hyperglycemia were extracted from data covering US residents who applied for life insurance between January 2007 and January 2014. Information about these applicants was matched to the Social Security Death Master File (SSDMF) and another commercially available death source file to determine vital status. Due to the inconsistencies of reporting within the death files, there were two cohorts of death cases, one including the imputed year of birth (full cohort of deaths), and the second where the date of birth was known (reduced cohort of deaths). The study had approximately 8.5 million person-years of exposure. Actual to expected (A/E) mortality ratios were calculated using the Society of Actuaries 2008 Valuation Basic Table (2008VBT) select table, age last birthday and the 2010 US population as expected mortality rates. With the 2008VBT as an expected basis, the overall A/E mortality ratio was 3.15 for the full cohort of deaths and 2.56 for the reduced cohort of deaths. Using the US population as the expected basis, the overall A/E mortality ratio was 0.98 for the full cohort of deaths and 0.79 for the reduced cohort. Since there was no smoking status information in this study, all expected bases were not smoker distinct. A/E mortality ratios varied by disease treatment category and were considerably higher in individuals using insulin. A/E mortality ratios decreased with increasing age and took on a J-shaped distribution with increasing BMI (Body Mass Index). The lowest mortality ratios were observed for overweight and obese individuals. The A/E mortality ratio based on the 2008VBT decreased with the increase in applicant duration, which was defined as the time since initial life insurance application.
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Hepi, Suthar, and Sharma Priyanka. "An Investigation on File Carving Tool Methodologies Using Scenario Based Image Creation." Indian Journal of Science and Technology 17, no. 3 (2024): 215–27. https://doi.org/10.17485/IJST/v17i3.808.

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Abstract <strong>Objectives:</strong>&nbsp;The objective of this study is to develop and validate carving techniques and tools for recovering fragmented files in digital forensics, using various data sets (Data recovery done from various SSD for investigation environment) to verify effectiveness and contribute to the advancement of the field.&nbsp;<strong>Methods:</strong>&nbsp;The research method used in this study involves the development and validation of carving techniques and tools that can effectively retrieve data from fragmented files. The study uses various data with the use of scenario based from different research organizations to verify the effectiveness of the developed carving techniques and tools. Here this study based on foremost tool, the study also creates 16 pictures for tool verification depending on situations and uses a well-known commercial carving tool, Foremost, to demonstrate the developed image carving pace and precision of each media. The research method is focused on functional verification and creating solutions for digital forensics.&nbsp;<strong>Findings:</strong>&nbsp;The research findings of this study indicate that the data recovery (from solid state drive) of fragmented files is a significant challenge for file carving (Tools - Scalpel, Bulk Extractor, Foremost, and Photorec) in digital forensics. The study highlights the need for developing and validating carving techniques and tools that can effectively retrieve data from fragmented files. The data sets (Data recovery done from various SSD for investigation environment) from different research organizations were used to verify the effectiveness of the developed carving techniques and tools. The study creates 16 pictures for tool verification depending on situations and uses Foremost (Forensic Tool), a well-known commercial carving tool, to demonstrate the developed image carving pace and precision of each media. The study also found that various carving techniques and tools are constantly being created to get around these restrictions. However, the current data sets (Data recovery done from various SSD for investigation environment) are less useful for validating tools due to their constrained environmental circumstances. Therefore, the study recommends the use of more realistic data sets (Data recovery done from various SSD for investigation environment) to validate carving techniques and tools. Overall, the study's findings contribute to the advancement of digital forensics by providing a more efficient and reliable solution for recovering data from fragmented files. The study's results can be used to improve the accuracy and effectiveness of file carving techniques and tools, thus enhancing digital forensic investigations.&nbsp;<strong>Novelty:</strong>&nbsp;The novelty of this research lies in developing and validating carving techniques and tools for effectively retrieving data from fragmented files in digital forensics. Like various scenario tested with forensic tools likes Scalpel, Bulk Extractor, Foremost, and Photorec. And tested based on various file signature (document, audio, video, email, and archive). Here file carving technique major with this linearly stored file carving performance, deleted files, file carving performance stored non-linearly, non-linearly, Master Boot Recorder, GUID Partition Table, Hard Disk Drive, and Solid State Drive. <strong>Keywords:</strong> SSD, Digital Forensics, File Carving, HDD, Data Recovery
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Sahib, Hussein Ismael, Nurul Hidayah Ab Rahman, Ali Kazem Al-Qaysi, and Mothana L. Attiah. "Comparison of data recovery techniques on master file table between Aho-Corasick and logical data recovery based on efficiency." TELKOMNIKA (Telecommunication Computing Electronics and Control) 19, no. 1 (2021): 73. http://dx.doi.org/10.12928/telkomnika.v19i1.16276.

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S. T. Patil, Et al. "Classification of Classical Indian Music Tabla Taals using Deep Learning." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2024): 3227–32. http://dx.doi.org/10.17762/ijritcc.v11i9.9513.

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In the research that we are bringing to light, we profoundly explore the categorization of Classical Indian Music Tabla Taals. This emphasizes widely recognized taals such as Addhatrital, Ektal, Rupak, Dadra, Deepchandi, Jhaptal, Trital, and Bhajani. To push the boundaries of our understanding, we implement a mixed-methods approach tethering both Feedforward Neural Networks (FNN) and Convolutional Neural Networks (CNN). These state-of-the-art technologies enable us to dissect and categorize tabla taals efficiently. In essence, the hallmark of Classical Indian music is its complex and multifaceted rhythms brought to life by the primal percussive instrument - the tabla. The conception and reproduction of these nuanced taals require technical finesse. Thus, accompanying the digital revolution and the eclectic musical preferences, it becomes essential for advanced methodologies to pinpoint and classify tabla taals. The hardcover of our research opens up to the magnificent crafting of an unmatched model employing both FNN and CNN. This blend enables us to recognize diverse features unique to tabla taals like Addhatrital, Ektal, Rupak, Dadra, Deepchandi, Jhaptal, Trital, and Bhajani. The model obtained its bosom knowledge during training from an assortment of Classical Indian music recordings showcasing these invigorating taals. This fosters a broader understanding regarding the array of minute differences brimming within each rhythmic inheritance. To bring user interaction to life, we have embedded a Graphical User Interface (GUI). This empowers users to introduce an audio file filled with table music from the taals listed and receive on-the-spot recognition. refining their connection and knowledge of the taal in question. Our research findings procure paramount importance in the scape of music analysis, especially framed within the heart of Classical Indian Music. We propose a system that would serve as a tool for amateur table players to learn the skill well and master their art. Instructors could also utilize it for training purposes. It opens a new window of possibilities providing an advanced model for intuitive, swift, and accurate automated identification of tabla taals.
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Lambert, Sherwood Lane. "Auto Accessories, Inc.: An Educational Case on Online Transaction Processing (OLTP) and Controls as Compared to Batch Processing and Controls." Journal of Emerging Technologies in Accounting 14, no. 2 (2017): 59–81. http://dx.doi.org/10.2308/jeta-51844.

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ABSTRACT The intent of this educational case is to increase students' understanding of online transaction processing (OLTP) and controls as compared to batch processing and controls. Learning concepts about batch processing is important because many entities continue to use batch processing for critical applications such as payroll, credit card processing, and Big Data. Students learn the advantages and disadvantages of batch processing and OLTP. The case provides a Microsoft Access database that includes a working batch program (module) and an online screen (form). Students use the form to update an employee table in a relational database with OLTP and use the module to update an employee master file with batch processing. Students compare the output from batch processing to the output from OLTP after processing the same input transactions and demonstrate that the outputs match when no input or processing errors exist. Students implement similar data validation edits in both the module and the form. Also, students implement run-to-run control total checks in the module and report input data errors in a batch-processed error report. Students learn processing and controls that are unique to batch processing, unique to OLTP, and common to both processing modes.
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Books on the topic "Master file table"

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Prima. Official Sega Genesis: Power Tips Book. Prima Publishing, 1992.

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Power Excel 2019 with Mrexcel: Master Pivot Tables, Subtotals, Charts, VLOOKUP, IF, Data Analysis in Excel 2010-2013. Tickling Keys, Incorporated, 2019.

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Filho, Edson, and Itay Basevitch, eds. Sport, Exercise and Performance Psychology. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780197512494.001.0001.

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This book brings to light the most pressing questions that must be addressed to advance the field. The book, which contains 25 chapters organized into three categories (Performance and Learning, Health and Well-Being, and Cultural and Professional Issues), includes contributions from leading experts in the field. Each chapter starts with a brief summary of the “State of the Art” literature (i.e., “known knowns”) and includes a table with five must-read papers for that specific area. Next, the five questions (i.e., “known unknowns”) that must be addressed to move the field forward are presented. As such, this volume is a main source of research questions for senior scholars graduate master’s and doctoral students, and advanced undergraduate students working on research projects. In total, this volume presents 125 questions and 125 key readings to help guide scholars of all levels to address novel theoretical, methodological, and applied research in the field.
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Le Fanu, J. Sheridan. In a Glass Darkly. Edited by Robert Tracy. Oxford University Press, 2008. http://dx.doi.org/10.1093/owc/9780199537983.001.0001.

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‘The ideal reading…for the hours after midnight.’ Thus Henry James described the style of supernatural tale of which Sheridan Le Fanu was a master. Known in nineteenth-century Dublin as ‘The Invisible Prince’ because of his reclusive and nocturnal habits, Le Fanu was fascinated by the occult. His writings draw on the Gothic tradition, elements of Irish folklore, and even on the social and political anxieties of his Anglo-Irish contemporaries. In exploring sometimes inexplicable terrors, the tales focus on the unease of the haunted men and women who encounter the supernatural, rather than on the origin or purpose of the visitant. This makes for spine-chilling reading. The five stories presented here have been collected by Dr Hesselius, a ‘metaphysical’ doctor, the forerunner of the modern psychiatrist, who is willing to consider the ghosts both as real and as hallucinatory obsessions. The reader’s doubtful anxiety mimics that of the protagonist, and each story thus creates that atmosphere of mystery which is the supernatural experience.
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Book chapters on the topic "Master file table"

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Gandhi, Henil Sanjaykumar, and Aryan Dinesh Deshmukh. "Understanding File System Forensics." In Advances in Digital Crime, Forensics, and Cyber Terrorism. IGI Global, 2025. https://doi.org/10.4018/979-8-3373-0857-9.ch007.

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In the following paper, we look at file system forensics intricacies for four dominant ones: EXT, FAT, NTFS and HFS. In this book, each of the system is discussed with its structure, operational characteristics and forensic challenge to collect evidence against it. The EXT family (EXT2, EXT3, EXT4) gets its turn on being evolutionary and providing tons of improvements around journaling and data integrity. It describes the FAT file system for its simplicity and great acceptance, then it presents common forensic techniques such as metadata examination and cluster chain analysis. Although NTFS has some advanced features of its own, such as the Master File Table (MFT) and strong journaling system that it uses to recover both resident and non-resident files, it's really not too much different from other file systems. Now comes to its proprietary nature with the analysis of HFS file system including Catalog file corruption, encryption handling, and more details about the entire structure of its Cloud.
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Sondarva, Kumarbhai Shamjibhai, Adarsh Kumar, Bhavesh N. Gohil, Sankita J. Patel, Sarang Rajvansh, and Ramya T. Shah. "Forensics Analysis of NTFS File Systems." In Advances in Human and Social Aspects of Technology. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-8133-2.ch008.

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The internet and computers are reaching everywhere, and all are getting connected through it. Users are utilizing computers to make life easier and work faster. At the same time, many attacks and instances of cybercrime have happened. Therefore, digital forensics is necessary and plays a crucial role. NTFS is one of the most popular file systems used by the Windows operating system, and this chapter provides information for forensic analysis of NTFS file system. This chapter describes digital forensics, stages of digital forensics, and types of digital forensics. NTFS is discussed in brief along with the master file table (MFT). In the same section, it also discusses the method to detect the hidden data in the boot sector, analysis of registry, prefetch, shellbags, and web browsers. They have discussed the collection of volatile and non-volatile data. It also provides the artifacts which an investigator must be seeking, along with the tools used to collect and analyze them and strategies used for investigation and analysis. Data recovery and file carving are also discussed.
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"Five. The Table and the Sea." In The Problem of the Christian Master. Yale University Press, 2024. http://dx.doi.org/10.12987/9780300277265-007.

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"Tables." In The State Must Be Our Master of Fire. University of California Press, 2019. http://dx.doi.org/10.1525/9780520929425-002.

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Matsumura Yasushi, Hattori Atsushi, Manabe Shiro, et al. "A Strategy for Reusing the Data of Electronic Medical Record Systems for Clinical Research." In Studies in Health Technology and Informatics. IOS Press, 2016. https://doi.org/10.3233/978-1-61499-678-1-297.

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There is a great need to reuse data stored in electronic medical records (EMR) databases for clinical research. We previously reported the development of a system in which progress notes and case report forms (CRFs) were simultaneously recorded using a template in the EMR in order to exclude redundant data entry. To make the data collection process more efficient, we are developing a system in which the data originally stored in the EMR database can be populated within a frame in a template. We developed interface plugin modules that retrieve data from the databases of other EMR applications. A universal keyword written in a template master is converted to a local code using a data conversion table, then the objective data is retrieved from the corresponding database. The template element data, which are entered by a template, are stored in the template element database. To retrieve the data entered by other templates, the objective data is designated by the template element code with the template code, or by the concept code if it is written for the element. When the application systems in the EMR generate documents, they also generate a PDF file and a corresponding document profile XML, which includes important data, and send them to the document archive server and the data sharing saver, respectively. In the data sharing server, the data are represented by an item with an item code with a document class code and its value. By linking a concept code to an item identifier, an objective data can be retrieved by designating a concept code. We employed a flexible strategy in which a unique identifier for a hospital is initially attached to all of the data that the hospital generates. The identifier is secondarily linked with concept codes. The data that are not linked with a concept code can also be retrieved using the unique identifier of the hospital. This strategy makes it possible to reuse any of a hospital's data.
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Peary, Gerald. "Short Visits with Three European Masters." In Mavericks. University Press of Kentucky, 2024. http://dx.doi.org/10.5810/kentucky/9780813197944.003.0009.

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The body of this chapter is made up of three interviews conducted at the New York Film Festival with major European filmmakers. The French director, Eric Rohmer, discusses his medieval-set Perceval, based on a 12th century poem about King Arthur and the Round Table. Rohmer explains that he wanted to do this film as if cinema existed in the Middle Ages. The German filmmaker Rainer Werner Fassbinder talks of his screen adaptation of Nabokov’s Despair, a story of a man who is convinced he has met in the streets his living doppelganger. Fassbinder decided to set his film in the Weimar Republic with Nazis in the background, and concedes that there is a “homoerotic” motif in his movie. The German director Werner Herzog discusses his Nosferatu the Vampyr, a remake of the famous silent. He speaks of other earlier Dracula movies, not always with approval, but admits that he is not a committed filmgoer. “Herzog is my reference,” he says.
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"Tables and Figures." In The Mastery and Uses of Fire in Antiquity. McGill-Queen's University Press, 2000. http://dx.doi.org/10.1515/9780773568556-001.

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Ehrlich, Cyril. "The English Industry, 1870-1914." In The Piano. Oxford University PressOxford, 1990. http://dx.doi.org/10.1093/oso/9780198161714.003.0009.

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Abstract The piano industry in late Victorian and Edwardian England consisted of three disparate and unrelated groups of firms. First there were three old-established, high quality manufacturers, self-conscious guardians of a fine but obsolete technology who tended to live in the past and faced dwindling sales with varying degrees of equanimity. They are listed in Section I of Table IX. Poles asunder were some two to three hundred garret masters who do not appear in Table IX. Each produced alone, or with a handful of men, a supply of cheap and mostly shoddy pianos and ‘dovetailed’ their highly seasonal activities with summer work in cabinet making, hop picking or even professional cricket. Although every year brought its crop of failures, and the slightest recession could be disastrous, this pool of small makers was constantly replenished by workers from the larger factories tempted by independence, ease of entry into the industry and a pervasive system of subcontracting by larger masters.
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Callahan, Dan. "Torn Curtain, Topaz, Frenzy, Family Plot, AFI Award." In The Camera Lies. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780197515327.003.0015.

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Hitchcock’s last four films do not contain much in the way of acting excellence, alas. But in his last appearance at the American Film Institute’s Life Achievement Award in his honor in 1979, the Master did “nothing” for the camera until Ingrid Bergman came down to his table and embraced him, at which point their mutual emotion was clear as a white-haired Cary Grant looked on and smiled and lied to the camera. This was a final Hitchcockian image with two key collaborators that perfectly expresses what the camera can see and what it cannot.
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Kabuya Chrispin, Wright Graham, Odama Anthony, and O'Mahoney Don. "Routine Data for Disease Surveillance in the Undeveloped Region of the OR Tambo District of the Eastern Cape Province." In Studies in Health Technology and Informatics. IOS Press, 2014. https://doi.org/10.3233/978-1-61499-389-6-103.

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The research team needed to upsize the solution previously tested so that it could expand the routine data collected via tablet computers. The research team identified the general flow of data within clinics. Data was mainly collected from registers, which were later converted to electronic form and checked for duplication. A database was designed for the collection of demographic data (Patient Master Index), which was aimed at eliminating duplication of patients' data in several registers. Open Data Kit (ODK) Collect was setup on Android tablets for collecting disease related routine data, while ODK Aggregate as the storage and aggregates of data captured by ODK Collect and the Patient Master Index for demographic data, were setup on an Apple Mini Mac server. Data collection is in progress. The expected results include improved data quality, reliability and quick access to summary data. Secondly, instant retrieval of patient demographic details and clinic numbers are included. Thirdly, ability to form standard reporting from the SQL database and lastly exporting data into the TIER.net and DHIS systems via CVS files thus eliminating the need for data capturers are shown.
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Conference papers on the topic "Master file table"

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Rho, H. M., and D. Sheen. "A Part Feature Description Model for Process Planning of Rotational Parts." In ASME 1989 Design Technical Conferences. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/detc1989-0023.

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Abstract This study documents the development of the Automated Process And Sequence Selector (APASS) model and associated computer software. APASS can be effectively used to automate the selection of machine tools for rotational parts during the process planning procedure for these parts. The APASS model bases its machine tool decisions on part feature description, such as surface shape, technical information! and part header information. Data on the surface shape are transformed automatically based on conversion tables to output suggested machining processes and machine tools. These processes are further filtered by technical information contained within the master and machine files. The ultimate APASS output is a sequence of machining operations based on both the geometrical and dimensional tolerances of the part surfaces and the machine availability. The program has been written in MS PASCAL and currently run on IBM PC/AT compatible.
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Mocko, Megan. "Selecting Technology to Promote Learning in an Online Introductory Statistics Course." In Technology in Statistics Education: Virtualities and Realities. International Association for Statistical Education, 2012. http://dx.doi.org/10.52041/srap.12109.

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Online courses are becoming an increasingly more common option for college students and technology plays a critically important role. The instructor must make many decisions about what technology to use in order to achieve a successful course. How can a course be taught in a way that engages the students so that they master the material just as well as in a traditional classroom? How do you build a sense of community with students that don’t physically see each other? In order to help accomplish these goals various technological packages must be chosen to bridge the gap between the traditional and online course. This paper will discuss the technological setup of a new online Statistics course, review why the specific technologies were chosen, its implementation and any problems that may have arisen. The paper will concentrate discussion on five areas: content building software (interactive websites), computer/video screen capture, interactive communication programs (chat rooms, etc.), online grading, and the tablet PC. In addition to the instructor’s observations about these packages, student’s perspectives will be included from a pre and post survey. In synopsis, the paper will include a brief literature review, summarize findings and give ideas for future research.
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Dahlman, Britt. "Collectio: a software especially designed for creating dynamic libraries for fluid and multilingual text traditions." In Huminfra Conference (HiC 2024). Linköping University Electronic Press, 2024. http://dx.doi.org/10.3384/ecp205008.

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This contribution presents a new software, Collectio, which can be used for creating highly complex relational MySQL databases, or more accurately, dynamic libraries. These libraries prove particularly well-suited for texts where the material has been organized in different ways and thus represents a ‘fluid’ textual tradition, or in traditions transmitted in many languages. So far, two libraries have been created using Collectio: APDB (the Apophthegmata Patrum Database) and HIPPO, which contains pre-modern hippiatric material. The sources included in the libraries are mainly in the form of manuscripts, editions and modern translations. Collectio employs a unique input model, built upon .txt and .csv files stored in an archive in the folder of the library. The contents of the database tables in the master database are generated from these documents. Since not only texts are registered but also the detailed structure and parallel text segments in other sources, both texts and structures can be systematically compared and analysed within and across language boundaries. In addition to the advanced research tools for comparing texts and structures, the application contains search options, indexes of names, places and concepts, metadata on the sources, pre-written SQL commands and more. A new way of encoding text, which can be converted into TEI/XML, is also introduced.
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de Oliveira, Julyanna Dutra, André Lacerda Soares, Elimara Dias Gonçalves, Maria Elisa Machado de Mattos, and Fernanda Vieira Nicolato. "Knowledge of the nursing team about urinary incontinence and fecal incontinence in institutionalized elderly people." In VI Seven International Multidisciplinary Congress. Seven Congress, 2024. http://dx.doi.org/10.56238/sevenvimulti2024-007.

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The increase in life expectancy and the decrease in fertility rates represent the new demographic census in Brazil and in the world. The main consequence of population aging is mainly the new challenges in the treatment of pathologies resulting from advancing age and how to treat our new elderly. Among the existing geriatric diseases, the occurrence of Urinary Incontinence (UI) and Fecal Incontinence (FI) is common, representing a challenge to health professionals, especially nursing. Given this scenario, how prepared is the nursing team to face these pathologies? Objective: To analyze the knowledge of nurses in the identification of Urinary and Fecal Incontinence in institutionalized elderly people. Method: this is a cross-sectional and descriptive research, with quantitative analysis. It was carried out in a Long-Term Care Institution for the Elderly with nurses, who agreed to participate in the research. Data collection took place in the first week of September 2023, on alternating days and shifts to include all employees of the institution. The data were organized into tables and imported into an Excel file for analysis by the researchers. Results: The sociodemographic results showed that most of the team was composed of nurses with more than 5 years of training, more than 10 years of work experience, and the vast majority did not have postgraduate, master's or doctoral degrees. The specific results showed that most nurses recognize FI and IA, but do not recognize the role of nurses in intervening in the pathological process, considering it as normal due to advancing age. Conclusion: Nurses are involved daily in daily practices aimed at institutionalized elderly people, making it important to have a qualified stomatherapist who can assist in conducting FI and IU. In addition, the need for research to strengthen this theme is highlighted.
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Nicoara, Adrian, Silvia Teodorescu, and Constanta Urzeala. "A COMPUTERIZED SYSTEM FOR JUDGING DANCESPORT COMPETITIONS - AN INNOVATIVE APPLICATION." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-199.

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Dancesport involves a variety of body movements performed to the rhythm of a song that is materialized in a choreography piece where the two partners try to convey emotions in a unique and personal way, which leads us to assert that dance has no boundaries, no barriers, it is simply felt and expressed. Dancesport provides the necessary framework to transmit a compositional message, trigger emotions, present an artistic creation, generate a show, that is why assessing the dancers’ performance often has a subjective character as regards technical execution, artistic mastery, plasticity and beauty of movement, shortly, the quality of dance. In this research, we developed and used an evaluation/ judging system which included five criteria: movement to music, posture and coordination, quality of movement and balance, partnered relationship and leading, choreography and presentation, and a larger or smaller number of sub-criteria. The aim was to prove the efficiency of a computerized system intended to reduce subjectivity in the evaluation of dancers’ competitive performance. Transposition of the evaluation/judging system to a computerized application using Web-based technology with extension for tablet ensures effectiveness for the judging panel, reducing the time needed to establish rankings, facilitating the work of the competition Secretariat and removing the possible human errors. The application summarized information on organized competitions, users, couples of dancers, dances, classes, age categories, to which each judge can login to access scoring sheets/per criterion/dance and check each sub-criterion for each component, male and female counterparts. The major difference between the two evaluation systems (one used by the DanceSport Federation, the other developed by us) could be noted in the hierarchy of couples in the mid-ranking, where the value level of dancers was close and their order in the ranking was decided by a few tenths or hundredths of a point.
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Reports on the topic "Master file table"

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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the project, to develop and apply the two complementary methods for quality control of agricultural commodities. In Israel: An improved firmness testing system was developed and tested with tropical fruits. The new system included an instrumented fruit-bed of three flexible piezoelectric sensors and miniature electromagnetic hammers, which served as fruit support and low-energy excitation device, respectively. Resonant frequencies were detected for determination of firmness index. Two new acoustic parameters were developed for evaluation of fruit firmness and maturity: a dumping-ratio and a centeroid of the frequency response. Experiments were performed with avocado and mango fruits. The internal damping ratio, which may indicate fruit ripeness, increased monotonically with time, while resonant frequencies and firmness indices decreased with time. Fruit samples were tested daily by destructive penetration test. A fairy high correlation was found in tropical fruits between the penetration force and the new acoustic parameters; a lower correlation was found between this parameter and the conventional firmness index. Improved table-top firmness testing units, Firmalon, with data-logging system and on-line data analysis capacity have been built. The new device was used for the full-scale experiments in the next two years, ahead of the original program and BARD timetable. Close cooperation was initiated with local industry for development of both off-line and on-line sorting and quality control of more agricultural commodities. Firmalon units were produced and operated in major packaging houses in Israel, Belgium and Washington State, on mango and avocado, apples, pears, tomatoes, melons and some other fruits, to gain field experience with the new method. The accumulated experimental data from all these activities is still analyzed, to improve firmness sorting criteria and shelf-life predicting curves for the different fruits. The test program in commercial CA storage facilities in Washington State included seven apple varieties: Fuji, Braeburn, Gala, Granny Smith, Jonagold, Red Delicious, Golden Delicious, and D'Anjou pear variety. FI master-curves could be developed for the Braeburn, Gala, Granny Smith and Jonagold apples. These fruits showed a steady ripening process during the test period. Yet, more work should be conducted to reduce scattering of the data and to determine the confidence limits of the method. Nearly constant FI in Red Delicious and the fluctuations of FI in the Fuji apples should be re-examined. Three sets of experiment were performed with Flandria tomatoes. Despite the complex structure of the tomatoes, the acoustic method could be used for firmness evaluation and to follow the ripening evolution with time. Close agreement was achieved between the auction expert evaluation and that of the nondestructive acoustic test, where firmness index of 4.0 and more indicated grade-A tomatoes. More work is performed to refine the sorting algorithm and to develop a general ripening scale for automatic grading of tomatoes for the fresh fruit market. Galia melons were tested in Israel, in simulated export conditions. It was concluded that the Firmalon is capable of detecting the ripening of melons nondestructively, and sorted out the defective fruits from the export shipment. The cooperation with local industry resulted in development of automatic on-line prototype of the acoustic sensor, that may be incorporated with the export quality control system for melons. More interesting is the development of the remote firmness sensing method for sealed CA cool-rooms, where most of the full-year fruit yield in stored for off-season consumption. Hundreds of ripening monitor systems have been installed in major fruit storage facilities, and being evaluated now by the consumers. If successful, the new method may cause a major change in long-term fruit storage technology. More uses of the acoustic test method have been considered, for monitoring fruit maturity and harvest time, testing fruit samples or each individual fruit when entering the storage facilities, packaging house and auction, and in the supermarket. This approach may result in a full line of equipment for nondestructive quality control of fruits and vegetables, from the orchard or the greenhouse, through the entire sorting, grading and storage process, up to the consumer table. The developed technology offers a tool to determine the maturity of the fruits nondestructively by monitoring their acoustic response to mechanical impulse on the tree. A special device was built and preliminary tested in mango fruit. More development is needed to develop a portable, hand operated sensing method for this purpose. In North Carolina: Analysis method based on an Auto-Regressive (AR) model was developed for detecting the first resonance of fruit from their response to mechanical impulse. The algorithm included a routine that detects the first resonant frequency from as many sensors as possible. Experiments on Red Delicious apples were performed and their firmness was determined. The AR method allowed the detection of the first resonance. The method could be fast enough to be utilized in a real time sorting machine. Yet, further study is needed to look for improvement of the search algorithm of the methods. An impact contact-pressure measurement system and Neural Network (NN) identification method were developed to investigate the relationships between surface pressure distributions on selected fruits and their respective internal textural qualities. A piezoelectric dot-matrix pressure transducer was developed for the purpose of acquiring time-sampled pressure profiles during impact. The acquired data was transferred into a personal computer and accurate visualization of animated data were presented. Preliminary test with 10 apples has been performed. Measurement were made by the contact-pressure transducer in two different positions. Complementary measurements were made on the same apples by using the Firmalon and Magness Taylor (MT) testers. Three-layer neural network was designed. 2/3 of the contact-pressure data were used as training input data and corresponding MT data as training target data. The remaining data were used as NN checking data. Six samples randomly chosen from the ten measured samples and their corresponding Firmalon values were used as the NN training and target data, respectively. The remaining four samples' data were input to the NN. The NN results consistent with the Firmness Tester values. So, if more training data would be obtained, the output should be more accurate. In addition, the Firmness Tester values do not consistent with MT firmness tester values. The NN method developed in this study appears to be a useful tool to emulate the MT Firmness test results without destroying the apple samples. To get more accurate estimation of MT firmness a much larger training data set is required. When the larger sensitive area of the pressure sensor being developed in this project becomes available, the entire contact 'shape' will provide additional information and the neural network results would be more accurate. It has been shown that the impact information can be utilized in the determination of internal quality factors of fruit. Until now,
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