File Organization Research Articles

Driving in Cars with Noise

Driving in Cars with Noise

The Practice and Perception of Establishing Food Safety Supervision and Management Files

With the steady development of China s economy, the production and living standards of the people in China have gradually im- proved. People no longer stay at the basic level of eat own s fill and wear warm clothes in clothing, food, housing and transportation , and pay more and more attention to the safety and health of food. In recent years, in order to let the people eat conscience and rest assured , China s government health and food related departments have been committed to research on food safety supervision and management. At the same time, the standardization, standardization organization and management of food hygiene supervision and management files should be carried out to facilitate their subsequent supervision. This paper analyzes the practice and experience of food hygiene supervision and man- agement files.

TomoNet: A streamlined cryogenic electron tomography software pipeline with automatic particle picking on flexible lattices.

Cryogenic electron tomography (cryoET) is capable of determining in situ biological structures of molecular complexes at near-atomic resolution by averaging half a million subtomograms. While abundant complexes/particles are often clustered in arrays, precisely locating and seamlessly averaging such particles across many tomograms present major challenges. Here, we developed TomoNet, a software package with a modern graphical user interface to carry out the entire pipeline of cryoET and subtomogram averaging to achieve high resolution. TomoNet features built-in automatic particle picking and three-dimensional (3D) classification functions and integrates commonly used packages to streamline high-resolution subtomogram averaging for structures in 1D, 2D, or 3D arrays. Automatic particle picking is accomplished in two complementary ways: one based on template matching and the other using deep learning. TomoNet's hierarchical file organization and visual display facilitate efficient data management as required for large cryoET datasets. Applications of TomoNet to three types of datasets demonstrate its capability of efficient and accurate particle picking on flexible and imperfect lattices to obtain high-resolution 3D biological structures: virus-like particles, bacterial surface layers within cellular lamellae, and membranes decorated with nuclear egress protein complexes. These results demonstrate TomoNet's potential for broad applications to various cryoET projects targeting high-resolution in situ structures.

Web-Based Information Systems for Political Parties and Community Organizations Using Extreme-Programming Methods

Badan Kesatuan Bangsa dan Politik is expected to be able to carry out its tasks and functions as a promoter of government affairs in the area of national unity and politics. However, there is still a frequent process of verification of registration files of association organizations and political parties, which is interrupted so that the registration process becomes obstructed. There are no available data on the existence and management of both social organizations and political parties. Delivery of accountability reports for political party funds is always late so the financial administration process is hampered, causing low budget absorption. Delivery of data desks of elections of heads of district or general elections is still manual, so late incoming reports cause information to the leadership to be unupdated. The research is aimed at building a web-based information system that provides registration, verification and filing features for political parties and association organizations. The method used is Extreme Programming with phases of planning, design, encoding, and testing. The results of this study resulted in a reliable and easy-to-use information system and showed 100% accuracy of the black box test results.

Why Can’t I just use Dropbox? A comparison of cloud file storage platforms used for research

Objective: Many researchers use cloud file storage platforms such as Box and Google Drive as the sole data management platform for all of their research data throughout the course of their projects. Researchers have lost access to their preferred platforms due to changes in licensing agreements and cost to their institutions, leaving researchers to figure out a new system on their own. This paper describes differences between these platforms that affect research data workflows. Methods: We selected four commonly used cloud file storage vendors (Box, Dropbox, Google Drive, and Microsoft SharePoint/OneDrive) to assess. The authors read public user documentation for the platforms and identified several differences, such as maximum file size, that could affect research data workflows. For each difference, we recorded the specifics of each platform then narrowed the scope to features that vary across the platforms. Results: We identified three areas where cloud platforms differed in ways that affect data management: data stewardship, storage capacity, and file organization. Data stewardship is affected by variations in the platforms’ approaches to individual vs. group ownership of files and how user roles are defined and assigned. The platforms also differ in limits on total capacity, individual file size, total number of files, and the amount of data that can be moved in and out of the platform. Some of these limits vary by access method (e.g. API vs web interfaces). Finally many differences affect how data can be organized, such as number of files per folder, synchronization, and file sharing restrictions. Conclusions: Some research data workflows may be negatively affected by moving between cloud file storage platforms. Researchers will need assistance identifying differences between the platforms and modifying disrupted data workflows. 

Synthesis, Spectroscopic and Nonlinear Optical Properties, and Antimicrobial Activity of Cu(II), Co(II), and Ni(II) Complexes: Experimental and Theoretical Studies.

Currently, we report the preparation of transition metal complexes Co(II), Ni(II), and Cu(II) of hydrazone Schiff base ligands, which are obtained by the condensation reaction of substituted salicylaldehyde and hydrazines. The synthesized hydrazone ligands and their metal complexes were characterized by spectroscopic methods such as Fourier transform infrared (FT-IR), UV-vis, nuclear magnetic resonance (1H NMR and C13 NMR), and mass spectrometry analyses. All of the quantum chemistry calculations were performed using DFT executed in the Gaussian 09 software package. The geometry was optimized by using the density functional theory (DFT) approximation at the B3LYP level with a basis set of 6-31G (d, p). There was excellent agreement between the FT-IR values obtained experimentally and those obtained theoretically for the test compounds. It is worth noting that none of the optimized geometries for any of the Schiff base and metal complexes had any eigenvalues that were negative, indicating that these geometries represent the true minimum feasible energy surfaces. We also analyzed the electrostatic potential of the molecule and NBO calculation at the same level of theory. Gauss View 6 was utilized for the file organization of the input data. Gauss View 6.0, Avogadro, and Chemcraft were used to determine the data. Additionally, synthesized compounds were screened for antimicrobial activity against Gram-negative bacteria (Salmonella typhi, Escherichia coli) and Gram-positive bacteria (Bacillus halodurans, Micrococcus luteus) and two fungal strains (Aspergillus flavus, Aspergillus niger). These research findings have established the potential of ligands and their metal complexes as antimicrobial agents. Additionally, the compounds demonstrated promising nonlinear optical (NLO) properties, with potential applications across a wide range of contemporary technologies.

Pelatihan Manajemen Arsip Digital berbasis Google Drive Desktop bagi Pengurus Pondok Pesantren se-Kecamatan Sangkapura

The training on digital archive management based on Google Drive Desktop was conducted with the aim of enhancing the capability of Islamic boarding school administrators in managing digital archives. The training took place on Sunday, June 18, 2023, at the MA Umar Mas'ud Sangkapura Auditorium, following prior coordination and distribution of invitation letters to the administrators of Islamic boarding schools in the Sangkapura Sub-District. The participants consisted of 29 administrators from 15 Islamic boarding schools in the Sangkapura Sub-District. The training covered the fundamental concepts of digital archive management, the use of Google Drive Desktop, best practices in digital archive management, and folder and file organization. The training employed presentation sessions, interactive discussions, and hands-on practice using Google Drive Desktop. Evaluation was conducted through pre- and post-training surveys to assess the participants' understanding and skills. Additionally, a satisfaction survey was conducted to evaluate the quality of the training. The evaluation results indicated a significant improvement in the participants' understanding and skills in digital archive management after the training. The satisfaction survey revealed that the majority of the participants were highly satisfied with the training material, delivery methods, clarity of instructions, and overall training experience. It is anticipated that this training will have a positive impact on digital archive management in Islamic boarding schools across the Sangkapura Sub-District and serve as a foundation for the development of similar training programs in other locations.

CATE: A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data

Abstract Statistical tests for molecular evolution provide quantifiable insights into the selection pressures that govern a genome's evolution. Increasing sample sizes used for analysis leads to higher statistical power. However, this requires more computational nodes or longer computational time. CATE (CUDA Accelerated Testing of Evolution) is a computational solution to this problem comprised of two main innovations. The first is a file organization system coupled with a novel search algorithm and the second is a large‐scale parallelization of algorithms using both graphical processing unit (GPU) and central processing unit. CATE is capable of conducting evolutionary tests such as Tajima's D, Fu and Li's, and Fay and Wu's test statistics, McDonald–Kreitman Neutrality Index, Fixation Index and Extended Haplotype Homozygosity. CATE is magnitudes faster than standard tools with benchmarks estimating it being on average over 180 times faster. For instance, CATE processes all 54,849 human genes for all 22 autosomal chromosomes across the five super populations present in the 1000 Genomes Project in less than 30 min while counterpart software took 3.62 days. This proven framework has the potential to be adapted for GPU‐accelerated large‐scale parallel analyses of many evolutionary and genomic analyses.

Automated File Labeling for Heterogeneous Files Organization Using Machine Learning

File labeling techniques have a long history in analyzing the anthological trends in computational linguistics. The situation becomes worse in the case of files downloaded into systems from the Internet. Currently, most users either have to change file names manually or leave a meaningless name of the files, which increases the time to search required files and results in redundancy and duplications of user files. Currently, no significant work is done on automated file labeling during the organization of heterogeneous user files. A few attempts have been made in topic modeling. However, one major drawback of current topic modeling approaches is better results. They rely on specific language types and domain similarity of the data. In this research, machine learning approaches have been employed to analyze and extract the information from heterogeneous corpus. A different file labeling technique has also been used to get the meaningful and `cohesive topic of the files. The results show that the proposed methodology can generate relevant and context-sensitive names for heterogeneous data files and provide additional insight into automated file labeling in operating systems.

Documents Component Ontology (DoCO): Laguna University Accreditation Tool

The document layers’ representation, arrangement, and discourse in machine-readable survey forms are pivotal for both users and machines in organizing and understanding the documents. In this endeavor, the researchers instituted DoCO, the Document Components Ontology for the Accreditation of Laguna University. This is the classification that gives an all-purpose organized file elements’ vocabulary to chronicle units of a document. As a result of the overall assessment of the respondents and clients in terms of Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, and Portability which got 4.12 as the overall weighted mean, which is verbally interpreted as “Good.” The respondents perceived the developed project as effective because it could give quick, valid, and fixed information. This can be utilized for the accreditation purposes of the institution.

Digital Curation and Contemporary Documentary Filmmaking

AbstractDocumentary films have evolved considerably since 1922s Nanook of the North. Fans of nonfiction now stream multi-episode documentaries on platforms like Netflix or catch a feature at one of many documentary-centered film festivals around the world. Inexpensive video cameras and internet distribution have expanded the documentary film universe exponentially. From 1-min films to feature-length theater releases, moviegoers around the world have embraced this diverse and growing genre. To the benefit of aspiring filmmakers, documentaries can now be filmed on a wide array of digital video devices, including smartphones, and edited inexpensively. Given this abundance, it may seem counterintuitive that, from a preservation perspective, the documentary film genre faces substantial risks. Research indicates that independent filmmakers lack access to resources that would ensure the long-term stewardship of their works (Academy of Motion Picture Arts and Sciences 2012). This research project examines documentary film production through the lens of digital curation. It describes filmmakers’ data practices and proposes a data curation model designed to guide filmmakers and film archives in developing data management plans similar to those currently used by researchers in the sciences. The proposed data curation model reflects the influence of the growing research data management field and integrates components related to digital storage, copyright, publishing, context, and file organization.

A novel file system supporting rich file classification

Existing implementations of file systems often seem to be made on an ad hoc and implicit basis. This paper aims to enhance the organization of files and retrieval of files by modifying the traditional hierarchical file system to improve built-in query support and bulk metadata updates supported at the file system level. We introduce tags in a hierarchy of file collections and use links to allow file retrieval from multiple paths as files exist in multiple directories simultaneously. By using a series of modest changes to the hierarchical file system, we propose a novel Linked Tree Tags (LTTs) model. These changes include using multiple tags instead of names, collections instead of directories, exposing a query language at the Application Programming Interface (API) level, and allowing controlled file links. We assess our model's expressive capability and demonstrate that LTTs overcome traditional file systems' limits and provide users with the to manage their files easily.

Gender Differences in Suicide and Homicide Rates in Mexico City during 2019.

Suicides and homicides are public health problems around the world. The rates of suicide and homicide have increased in the past years. The objectives of this study are to estimate the rates of suicide and homicide in Mexico City, and to determine the rates of suicide and homicide by sex in the different municipalities of Mexico City during 2019. Data analyzed were obtained from files of governmental organizations in Mexico City. From the general victims-in-research-folders, we choose “victims of crime” or “loss of life by suicide” that happened in 2019. Sex and municipality of residence were obtained. The rate of suicide was of 5.65 cases per 100,000 habitants. Stratified by gender and by municipalities, the highest rates observed were 6.8 suicides per 100,000 males and 29.6 suicides per 100,000 females. The sex ratio was 4.2:1 (males: females). Regarding homicides, the rates were 16.68 homicides per 100,000 females and 67.41 homicides per 100,000 males. The Venustiano Carranza Municipality showed the highest homicide rate in men with 131.72 homicides per 100,000 males. The homicide sex ratio was 7.8:1. The findings of the present study highlight that death by suicide is more common in men with 7.8 more times than in women. The municipalities with higher deaths by suicide have lower rates of homicides and the municipalities with higher deaths by suicide showed lower rates of suicide in men.

Primary care physicians' participation in the Medicare shared savings program and preventive services delivery: Evidence from the first 7 years.

To evaluate whether primary care physicians' participation in the Medicare Shared Savings Program (MSSP) is associated with changes in their preventive services delivery. Medicare Provider Utilization and Payment Physician and Other Supplier Public Use File and MSSP Accountable Care Organizations (ACO) Provider-Level Research Identifiable File from 2012 to 2018. The design was a two-way fixed effects model estimating within-provider changes in preventive services delivery over time controlling for provider time-invariant characteristics, national time trends, and characteristics of served patients. The following preventive services were evaluated: influenza vaccination, pneumococcal vaccination, clinical depression screening, colorectal cancer screening, breast cancer screening, Body Mass Index (BMI) screening and follow-up, tobacco use assessment, and annual wellness visits. Both the likelihood of providing services and the volume of services delivered were evaluated. Secondary data linked at the provider level. MSSP participation was associated with an increase in the likelihood of providing influenza vaccination (0.7 percentage-points), pneumococcal vaccination (2.0 percentage-points), clinical depression screening (2.1 percentage-points), tobacco use assessment (0.3 percentage-points), and annual wellness visits (4.1 percentage-points). A similar increase was found for the volume of services delivered per 100 patients for several preventive services: influenza vaccination (0.18), pneumococcal vaccination (0.56), clinical depression screening (0.46), and annual wellness visits (1.52). MSSP participation was associated with a decrease in the likelihood (-0.4 percentage-points) and the volume of colorectal cancer screening (-0.03). Primary care physicians' participation in MSSP was associated with an increase in the likelihood and the volume of several preventive services.

Организация внешнего файлового обмена для портативного электронного устройства на базе микроконтроллера

Организация внешнего файлового обмена для портативного электронного устройства на базе микроконтроллера

Data Mining Software Tools and Methodologies for VLSI Design

Modern VLSI design process employs numerous EDA tools to produce large-size report files. It is time consuming as well as the possibility to miss some violations from EDA report files. We developed two data mining software tools targeting for the timing, noise and power grid analysis report files in one high-performance SOC design project. The software extracts, sorts and displays the key information from EDA report files into HTML forms, which can be viewed by designers using the web browser. Organization of EDA report files, configure files, program execution flows and output HTML forms are described for the developed data mining software tools.

Musculoskeletal Conditions in Persons Living with HIV/AIDS: A Scoping Review.

Globally 37.9 million people are living with HIV/AIDS, and with mortality rates declining, there is an increasing focus on comorbidities including musculoskeletal (MSK) disorders. Therefore, the aim of this scoping review was to generate and summarize an overview of the existing scientific literature dealing with MSK complaints in people living with HIV/AIDS (PLWHAs). This scoping review followed the five-stage methodological framework proposed by Arksey and O'Malley. We searched PubMed, EMBASE, CINAHL, and the Cochrane Library from inception to June 1, 2020. Two reviewers independently reviewed the articles for eligibility. A data extraction form was used to chart information such as author, year of publication, data source, sample size, country of origin, ethnicity, age, gender, antiretroviral therapy, MSK condition prevalence, and anatomical location. The search identified 10 522 articles. Of these, 27 studies were included after full-text screening for data extraction. Studies were conducted in thirteen different countries with diverse data sources such as outpatient clinic files, hospital records, primary care clinic files, and AIDS Service Organization files. PLWHAs have a variety of MSK conditions. Most studies reported spinal pain such as lower back or neck pain, but pain in the extremities and osteoarthritis (OA) were also represented. However, the frequencies of pain at various anatomical sites were highly variable. There is a lack of knowledge regarding MSK conditions in PLWHAs. Future studies designed to specifically study MSK complaints and disabilities are needed to gain a better picture of the impact of these conditions in PLWHAs and to inform prevention and treatment strategies globally in this often-underserved population.

Content Based Automated File Organization Using Machine Learning燗pproaches

In the world of big data, it's quite a task to organize different files based on their similarities. Dealing with heterogeneous data and keeping a record of every single file stored in any folder is one of the biggest problems encountered by almost every computer user. Much of file management related tasks will be solved if the files on any operating system are somehow categorized according to their similarities. Then, the browsing process can be performed quickly and easily. This research aims to design a system to automatically organize files based on their similarities in terms of content. The proposed methodology is based on a novel strategy that employs the charactaristics of both supervised and unsupervised machine learning approaches for learning categories of digital files stored on any computer system. The results demonstrate that the proposed architecture can effectively and efficiently address the file organization challenges using real-world user files. The results suggest that the proposed system has great potential to automatically categorize almost all of the user files based on their content. The proposed system is completely automated and does not require any human effort in managing the files and the task of file organization become more efficient as the number of files grows.

Устойчивое развитие природы и общества Сибири и Дальнего Востока: анализ документопотока электронной коллекции ГПНТБ СО РАН

“Living substance is biosphere's driving force whom main activity type is biogeochemical work in biosphere”. Biosphere development problems came up in twentieth century. Conception of sustainable development as translational headway which provides with society rational needs and conservation of environment state for future generations was accepted in 1922 at UN international conference, Rio de Janeiro. In Russia in 1992 were issued presidential decree № 236 and government decree № 217-r. In SPSTL SB RAS creation of bibliographical database of society and nature sustainable development started in 1997 due to theme actuality and large amount of scientific researches in Russia and in the world entirely. Since 2011 it is introduced in “Scientific Sibirica” database as a topic section. Deposit copies and public access scientific publications are the main database information sources. To cover all theme aspects literature selection and systematization methods and documents analytical processing structure were set up. State Classifier of Scientific and Technical information, not normative key words and thematic classifier are used as language support. Thematic classifier reflects main civilization problems represented in SB RAS research establishments priority areas of activity: general issues (historical, philosophical, law, informational), social and ecological issues, economical issues of sustainable development. Analysis of database information since 1998 to 2017 showed up next points: • reflection of social processes in data store by focus on particular sustainable development directions. • topic actuality. Annual large stock of publications (8700 documents averagely) which are highly dissipated (1236 periodicals (39%) and 5899 scientific events materials (35%) are represented by only one publication). • prevalence of scientific publications for: 13623 symposiums, seminars, conferences (81%); 605 productive Russian journals included in scientometrical systems; 448 (43%) productive Russian journals included in State Commission for Academic Degrees and Titles list. • various access levels of articles full texts: on electronic scientific library (E-library.ru) 531 (68%) productive Russian journals are at free access, the others may be viewed only directly from library or by subscription; on E-library and in Open Access systems materials of symposiums, conferences and seminars are partly accessible and temporarily published on the Internet. In the interest of specialists' and scientists' time economy they receive information by selective dissemination of information system since 1997. Since 1998 information is available by WEB-oriented information retrieval system of SPSTL SB RAS which includes optimized set of retrieval parameters; retrieval by all resources or by some certain resources; various retrieval modes; retrieval result improvement by retrieval vocabulary or hyperlinks in publications description; retrieval result saving in common formats; retrieval request saving and edition; subscription on new arrivals by e-mail; access to information by retrieval result (publications full texts browsing, print media order). From 2019 new WEB-oriented IRS will be supplemented by: full-text retrieval, retrieval by natural language phrase; faceted navigation; various access rights and full texts references registration and other options. Bibliographical resources in-formational opportunities will extend as 22655 documents (17%) from “Sustainable development of society and nature” section of “Scientific Siberica” database already have links on their full text (publications having DOI, publications on CD-ROM; publications in the public domain; published scientific events materials which arrive at libraries in printed format). For Internet-oriented customers on the web-site there are: topic sector description allowing switch to WEB IRS; virtual literature collections are represented (in xml-format) allowing full texts browsing and switch to WEB IRS. There is another advanced research direction -semantic WEB projects based on authority files of authors, personalities, organizations, subject and geographical headings. Update of “Scientific Siberica” bibliographical database and specially “Sustainable development of society and nature” section is directed at next points: documents analytic processing extension; functional files of authors, personalities, organizations, subject and geographical headings authority setting up; links on opened fulltext Internet resources addition; user interface development in WEB IRS and on the SPSTL SB RAS web-site.

Use of Epidemiology Surge Support to Enhance Robustness and Expand Capacity of SARS-CoV-2 Pandemic Response, South Africa.

As COVID-19 cases increased during the first weeks of the pandemic in South Africa, the National Institute of Communicable Diseases requested assistance with epidemiologic and surveillance expertise from the US Centers for Disease Control and Prevention South Africa. By leveraging its existing relationship with the National Institute of Communicable Diseases for >2 months, the US Centers for Disease Control and Prevention South Africa supported data capture and file organization, data quality reviews, data analytics, laboratory strengthening, and the development and review of COVID-19 guidance This case study provides an account of the resources and the technical, logistical, and organizational capacity leveraged to support a rapid response to the COVID-19 pandemic in South Africa.