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2021 ◽  
Vol 262 ◽  
pp. 03016
Author(s):  
Indira Mikitaeva ◽  
Eldar Malkanduev ◽  
Pavel Zhufan ◽  
Saida Shardan

The social and economic development of the territories includes the existence of stable interregional food and commodity linkages, the formation of a food economy, an increase in food resources conducive to the development of the AIC and the entire economic system. Digitalization and the implementation of information technologies ensure high-quality information content of all subdivisions of the AIC, enable optimization of the flow of resources and goods within the complex, leading to facilitate the task of transforming the agro-industrial complex of Russia, further “effective and sustainable agro-industrial production that corresponds to the world level ensuring the country’s food security, the saturation of the market with food” [4]. An effective mechanism for the regional innovative economy management is, in our view, the complex establishment of a high-quality information base, the development of information technology networks to transcend traditional technologies. The success in the transition to the modern stage of the digital economy in the AIC prejudges the growing importance of the of the country, its regions and individual industries in the formation of a single information field. The federal policy policy is directed at creation of new information technologies and communication channels throughout Russia and all over the world. The regional policy in the field of information should be based on the interests of the regional users and the general federal interests of a group of industries located in the region. The sectoral policy in the field of information should take into account the interests of one industry, as well as enterprises and organizations within the structure of this industry.


Author(s):  
María-Isabel Domínguez-Aroca

The Covid-19 pandemic has brought about notable changes in our society, including new forms of relationships and work. It has especially affected the professions related to the health system, which includes health science librarians, who are responsible for providing up-to-date and high-quality information to health workers on the front line of this fight. This article presents the work of a group of professionals working in Spanish health science libraries (#AyudaBiblioteca), organized to collaborate and provide a better response to the information needs resulting from Covid-19. It has 90 participants, mainly from hospital libraries, as well as from research organizations, scientific societies, professional associations, ministries, universities, health technology evaluation agencies, and independent professionals. WhatsApp has been used as a means of communication, and Google Drive as a document repository. Resources are displayed on a public website, and search strategies are deposited in Diigo. Twitter is used with the hashtags #AyudaBiblioteca and #COVID19 as an external means of communication to receive and disseminate information. This collaboration has allowed us to join forces in the search for and coordinate collection of reliable, evidence-based, proven, and high-quality information, demonstrating the benefits of teleworking and online collaboration. The benefits of open science and how it improves research are also reflected upon. This initiative shows the importance of health science librarians in supporting health, academic, and research staff. Resumen La pandemia de la Covid-19 ha supuesto notables cambios en nuestra sociedad, incorporando nuevas formas de relación y de trabajo. Ha afectado especialmente a las profesiones del sistema sanitario, del que forman parte los bibliotecarios de Ciencias de la Salud, encargados de proporcionar información actualizada y de calidad a los sanitarios al frente de esta lucha. En este artículo se presenta el trabajo del colectivo de profesionales de bibliotecas de Ciencias de la Salud españolas #AyudaBiblioteca, organizados para colaborar y dar una mejor respuesta a las necesidades informativas sobre la Covid-19. Cuenta con 90 participantes mayoritariamente de bibliotecas de hospitales, y también de organismos de investigación, sociedades científicas, colegios profesionales, consejerías, universidades, agencias de evaluación de tecnologías sanitarias y profesionales independientes. Como medio de comunicación se ha utilizado WhatsApp y como depósito de documentación Google Drive. Los recursos se visualizan en una web pública, y las estrategias de búsqueda se vuelcan en Diigo. Se utiliza Twitter con los hashtags #AyudaBiblioteca y #COVID19 como medio de comunicación externa para recibir y difundir información. Esta colaboración ha permitido aunar fuerzas en la búsqueda y recopilación coordinada de información fiable, basada en evidencia, contrastada y de calidad, y demuestra los beneficios del teletrabajo y de la colaboración online. También refleja las ventajas de la ciencia abierta y cómo mejora la investigación. Esta iniciativa muestra la importancia de los bibliotecarios de Ciencias de la Salud como apoyo al personal sanitario, académico y de investigación.


2020 ◽  
Vol 8 (2) ◽  
pp. 475-479 ◽  
Author(s):  
Emily K. Vraga ◽  
Melissa Tully ◽  
Leticia Bode

The World Health Organization has declared that misinformation shared on social media about Covid-19 is an “infodemic” that must be fought alongside the pandemic itself. We reflect on how news literacy and science literacy can provide a foundation to combat misinformation about Covid-19 by giving social media users the tools to identify, consume, and share high-quality information. These skills can be put into practice to combat the infodemic by amplifying quality information and actively correcting misinformation seen on social media. We conclude by considering the extent to which what we know about these literacies and related behaviors can be extended to less-researched areas like the Global South.


2020 ◽  
pp. 18-19
Author(s):  
Sofia Fedorovna Usmanova ◽  
Natalia Nikolaevna Kholina

A complete, long-term retention of material learned during the lesson should be supplemented by independent study at home, as it is a method of reinforcing knowledge and skills; it forms independence in educational and cognitive activities in children as well as develops their thinking and self-discipline skills. This article deals with different approaches to creating a highly effective homework organization system, which allows to get complete and high-quality information about the level of studied material.


Author(s):  
Paulina NOWAK ◽  

Purpose: A feature of the information society is the widespread use of information and communication technologies in both business processes and everyday life. The condition for the universality of these solutions is to ensure access to high quality information and communication technologies throughout the country. The aim of the article is to assess the availability and use of information and communication technologies in the voivodeships of Poland. Design/methodology/approach: The methodology of the article is based on descriptive analysis of the information society in Poland. The scope of the considerations concerns the spatial diversity in the availability of information and communication technologies in Poland from the perspective of citizens and businesses per voivodeship. The research used secondary data made available by the Statistics Poland, including the Local Data Bank, Eurostat and the Digital Agenda for Europe. Due to the availability of comparable statistics, 2015 and 2019 were analyzed. Findings: The level of development of the information society in Poland systematically increases. However, Poland is among the countries with the lowest rate of digital economy in the EU. The development of online services comes out as the best developed, while the telecommunication infrastructure falls at the other end of the spectrum. The analysis of selected data concerning the development of the information society in Polish voivodeships indicates that there are differences in the access of the communities of individual regions to high quality information and communication technologies. In particular, inequalities in access to and use of broadband Internet were found. The diversity, which can be described as a digital divide, is particularly characteristic in the relationship between Western Poland and Eastern Poland and is evident in the use of eGovernment services. Social implications: The existence of spatial diversity may affect the implementation of the development priorities of the country and the EU. Public administration is in the period of transition from the traditional way of dealing with the matters of citizens and enterprises to modern — electronic implementation of public services, which requires the state not only to provide access to modern technologies, but also to invest in digital skills of administration employees and society. Originality/value: The results of the conducted analysis may provide guidance for national and regional economic policy entities in terms of shaping forms of public support for development of information and communication technologies in the next development programming perspectives.


2020 ◽  
Vol 13 (2) ◽  
pp. 23-31
Author(s):  
N.V. Bondarchuk ◽  

Global changes in the operating conditions of non-state corporate structures, caused by the forced vacation in the spring of 2020, caused a sharp reduction in cash receipts and sharpened the attention of financiers to determine the future values of receipts, Disposals and cash balances. The author of the article has proved what types of economic and professional interests of the main three groups of users of financial and economic information-owners, top managers and financiers- are associated with the interest in obtaining high-quality information about the future values of cash flows of non-state corporate structures. The article explains why it is appropriate to use the term forecasting rather than planning in relation to predicting the future value of indicators that characterize cash flows. In addition, referring to the opinion of well-known foreign scientists and financial practitioners, the author provides arguments in favor of the fact that forecasting cash flows, rather than profit, is of paramount importance in modern conditions. The author’s definition of the cash flow forecast is given, revealing its content in the following projections: as a result of the process, as a document, as a set of methodological techniques and as a source of information for management decisions. The author conducted a study of theoretically developed and applied in practice methods of forecasting cash flows. In the results, the author systematized by application areas, and briefly described the mechanism for applying the main methods of forecasting cash flows that can be used for modern corporate structures. In particular, the use of the situational analysis method, expert assessment method, and the method of processing spatial, temporal, and spatio-temporal aggregates, as well as methods based on their combination and common in modern financial practice, such as forecasting cash flows based on proportional dependencies, was considered; budgeting of cash flows based on the technology of budgeting and cash flow design based on simulating a set of planned business operations on the used versions of accounting programs. In conclusion, the author concludes that there is no ideal method for forecasting cash flows and the need to take into account the information interests of users, the complexity of application, the availability of high-quality information and compliance with the management culture of the corporate structure in which forecasting is performed.


2019 ◽  
Vol 3 (2) ◽  
pp. 179 ◽  
Author(s):  
Agatha Deolika ◽  
Kusrini Kusrini ◽  
Emha Taufiq Luthfi

Abstract - In this era, we need to extract the text needed to visualize or need knowledge from a large collection of document texts. Text mining is the process of obtaining high-quality information from text. High-quality information obtained because of attention to patterns and trends by reading statistical patterns. In the process of extracting the text, we need to pay for the words offered to give value/weight to the terms provided in a document. The weight given to the term depends on the method used. In weighting many words such as algorithms for example such as TF, IDF, RF, TF-IDF, TF.RF, TF.CHI, WIDF. This research will be analyzed and compared with the TF-IDF, TF.RF, and WIDF algorithms. For the test method, the naïve Bayes classification method will be used and the valuation analysis using the confusion matrix. With a dataset used as many as 130 documents in which 100 data transfer and 30 test data. Based on the analysis of the results of the classification that has been done, it can determine the weighting of TF.RF with naif classification is better than weighting TF.IDF and WIDF with Accuracy values of 98.67%, Precision 93.81%, and Recall 96.67%.Keywords - Text Mining, TF-IDF, TF-RF, WIDF, Classification, Naïve Bayes. Abstract - Pada era sekarang ini pemanfaatan text mining sangatlah diperlukan untuk mevisualkan atau mengevaluasi pengetahuan dari kumpulan besar dari teks dokumen. Text mining adalah proses untuk memperoleh informasi berkualitas tinggi dari teks. Informasi berkualitas tinggi biasanya didapatkan karena memperhatikan pola dan tren dengan cara mempelajari pola statistik. Pada proses teks mining terdapat pembobobtan kata yang bertujuan untuk memberikan nilai/bobot pada term yang terdapat pada suatu dokumen. Bobot yang diberikan pada term tergantung kepada metode yang digunakan. Dalam pembobotan kata banyak sekali terdapat algoritma-algoritma contohnya seperti TF, Idf, RF, TF-IDF, TF.RF, TF.CHI, WIDF. Pada penelitian ini akan dianalisis dan dibandingkan algoritma  TF-IDF, TF.RF, dan WIDF. Untuk metode pengujiannya akan digunakan metode klasifikasi naïve bayes  dan analisis perbandingannya menggunakan confussion matrix. Dengan dataset yang digunakan sebanyak 130 dokumen yang mana 100 data traning dan 30 data uji. Berdasarkan analisa pada hasil klasifikasi yang telah dilakukan, dapat disimpulkan bahwa pembobotan TF.RF dengan klasifikasi Naïve bayes lebih baik dari pembobotan TF.IDF dan WIDF dengan nilai Accuracy 98,67%, Precision 93,81%, dan Recall 96,67%.   Kata Kunci - Text Mining, TF-IDF, TF-RF, WIDF, Klasifikasi, Naïve Bayes.


Author(s):  
Stephan Tietz ◽  
Nicola Haines ◽  
Brogan Taylor

Information on qualifications is used widely across central and local government to inform service delivery and policy development; main user requirements are for highest level of qualifications and, no qualifications. We explored the feasibility of using administrative data to derive high quality information on educational qualifications held. For this feasibility research, we used data supplied by the Department for Education. This covered 14-25y/o from the three funding streams in England: primary and secondary education, further education and higher education. We compared our results at national level with the 2011 Census and Labour Force Survey/Annual Population Surveys (LFS/APS). We also undertook linkage to the Census to compare our results at case-level. We were able to derive a highest level of qualification for more than 96% of individuals in the data. There is a high level of agreement at national level when compared to the Census and LFS/APS. Differences are likely due to mode of data collection and the accuracy of differentiating between full and partial attainment as limited information was available in the feasibility dataset. Moreover, we successfully linked 84% of 14-25y/o on the English Census. We found that highest qualification level as derived from admin data agreed with 57% of Census records and either agreed or was within one level for 84% of records. Disagreement patterns were similar to the ones observed by the Census Quality Survey, which suggest that they are driven by mode effects. We demonstrated that we can produce high quality information on highest level of qualification for a large proportion of first-time entrants to the labour market. We also opened the door to providing more accurate information on highest level of qualification achieved by individuals than self-reported data since it does not rely on respondents recall ability or proxy responses.


2019 ◽  
Vol 189 (2) ◽  
pp. 505-509 ◽  
Author(s):  
Mustafa Cihan Yavuz ◽  
Suleyman Kutalmış Buyuk ◽  
Esra Genc

2019 ◽  
Vol 34 (3) ◽  
pp. 1-29
Author(s):  
John L. Abernathy ◽  
Brooke Beyer ◽  
Jimmy F. Downes ◽  
Eric T. Rapley

ABSTRACT We examine the effect of high-quality information technology (IT) on management's capital investment decisions. Evaluating capital investment decisions with contemporary investment efficiency and long-term measures of investment effectiveness, we document a positive relation between high-quality IT and capital investment decision quality. In particular, we find high-quality IT is associated with more optimal levels of investment as well as fewer future fixed asset write-downs. We also disaggregate investment efficiency and find the relation with IT quality holds for investment decisions related to capital expenditures and acquisitions, but not research and development expenditures. Overall, our results suggest managers equipped with better internal information from higher-quality IT are able to make superior capital investment decisions. Our study contributes to the literature by providing evidence of a significant determinant of capital investment decision quality and documenting a specific mechanism that mediates the indirect effect of IT quality on future performance. JEL Classifications: D83; E22; G31; M15; M41. Data Availability: We thank InformationWeek for providing annual rankings that were previously published. All other data are publicly available from regulatory filings; we obtained data from the Compustat, Execucomp, and I/B/E/S databases.


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