bluuebunny/crossref_metadata_2025_split huggingface dataset:
TECHNOLOGY IN TEACHING AND LEARNING
Authors: ROY ABHIPRIYA 
Published: May 2019

Christian Louis Lange once said, "Technology is a useful servant but a dangerous master." The effective use of technology in education has changed the face of education and it has created more educational opportunities. Both teachers and students have benefited from various educational technologies, teachers have learned how to integrate technology in their classrooms and students are getting more interested in learning with technology.The use of technology in education has removed educational boundaries, both students and teachers have collaborated in real time using advanced educational technologies. However we need to make sure that technology is used by teachers only to facilitate the learning process, not to replace the teachers. Extensive use of technology acts as an impediment to the systemized to the teaching-learning process.
Recent advancements in educational technologies have yielded positive results in our education sector. New educational technology supports both the teaching and learning processes. Technology has digitized classrooms through digital learning tools like computers, ipads, smartphones, smart digital whiteboards. It has expanded course offerings, and has increased student's engagement and motivation towards learning.
This paper deals with the problems faced by teachers while teaching English in the traditional methods. It propounds five new language games to teach syntax structures to the learners by incorporating technology.
Treatment of adult thoracolumbar spinal deformity: past, present, and future
Authors: Smith Justin S. , Shaffrey Christopher I. , Ames Christopher P. , Lenke Lawrence G. 
Published: May 2019

Care of the patient with adult spinal deformity (ASD) has evolved from being primarily supportive to now having the ability to directly treat and correct the spinal pathology. The focus of this narrative literature review is to briefly summarize the history of ASD treatment, discuss the current state of the art of ASD care with focus on surgical treatment and current challenges, and conclude with a discussion of potential developments related to ASD surgery.In the past, care for ASD was primarily based on supportive measures, including braces and assistive devices, with few options for surgical treatments that were often deemed high risk and reserved for rare situations. Advances in anesthetic and critical care, surgical techniques, and instrumentation now enable almost routine surgery for many patients with ASD. Despite the advances, there are many remaining challenges currently impacting the care of ASD patients, including increasing numbers of elderly patients with greater comorbidities, high complication and reoperation rates, and high procedure cost without clearly demonstrated cost-effectiveness based on standard criteria. In addition, there remains considerable variability across multiple aspects of ASD surgery. For example, there is currently very limited ability to provide preoperative individualized counseling regarding optimal treatment approaches (e.g., operative vs nonoperative), complication risks with surgery, durability of surgery, and likelihood of achieving individualized patient goals and satisfaction. Despite the challenges associated with the current state-of-the-art ASD treatment, surgery continues to be a primary option, as multiple reports have demonstrated the potential for surgery to significantly improve pain and disability. The future of ASD care will likely include techniques and technologies to markedly reduce complication rates, including greater use of navigation and robotics, and a shift toward individualized medicine that enables improved counseling, preoperative planning, procedure safety, and patient satisfaction.Advances in the care of ASD patients have been remarkable over the past few decades. The current state of the art enables almost routine surgical treatment for many types of ASD that have the potential to significantly improve pain and disability. However, significant challenges remain, including high complication rates, lack of demonstrated cost-effectiveness, and limited ability to meaningfully counsel patients preoperatively on an individual basis. The future of ASD surgery will require continued improvement of predictability, safety, and sustainability.
Statistical Activities of IMF: A Factor of Global Financial Stabilization in the Post-Crisis Period
Authors: Аrtemieva І. О. 
Published: May 2019

The areas of transformation of the statistical activities of the International Monetary Fund (IMF) in the post-crisis period are outlined, and their contribution in the global financial stabilization is assessed. The IMF results in detecting and eliminating information shortages by disseminating the standard methodology for statistical studies, unified principles for information collection, methods for computation and analysis of statistical indicators, harmonization and unification of the information content and dissemination methods are described.
The evolution of the three-tier statistical standard of IMF (Special Data Dissemination Standard, General Data Dissemination System and Special Data Dissemination Standard Plus) is analyzed as the global reference for disseminating economic and financial data, which simplifies access of economic experts from all over the world to timely and complete statistical information, thus helping the international community implement macroeconomic policies.
The article gives an assessment of IMF activities in collecting and disseminating statistical data about the areas where the system risk detected in time of the latest global crisis increased to the largest extent: studies devoted to cross-border and cross-sector relations, the market of bonds and derivatives, large banks and non-banking sector.
The area of IMF statistical activities related with studies of trans-border financial relations is described. The initiatives on eliminating information shortage, required to trigger global regulatory reforms and implemented by IMF in collaboration with other international organizations are highlighted.
The IMF strategy on data and statistics in the digital era, intended to improve the IMF statistical activities given the critical level of data volatility and the increasing demand for high quality data in conformity with the new priorities of supervision, is described.
The areas of further improvements in the international cooperation and elimination of statistical data shortages detected by the crisis by use of innovative methods for collection, processing and dissemination of statistical data, to produce the sets of timely, reliable and comparable indicators for non-financial and financial sector, are outlined.
The Evaluation of Investment Cooperation of Ukraine with EU Countries
Authors: Bulakh T. M. , Ivashchenko O. A. , Lytvyn O. Ye. 
Published: May 2019

The article investigates and evaluates the investment cooperation of Ukraine with the EU. The volume, structure and dynamics of investment flows between Ukraine and the European Union are analyzed. The main problems of cooperation between Ukraine and the EU are formed, in particular: the volume of foreign direct investment (FDI) in Ukraine from the EU is directed mainly to those sectors of the economy where it is possible quickly to make a profit (for example, in financial activities), while investment in priority sectors of the economy of Ukraine, aimed at a long-term growth, is insufficient. In addition, during the analysis of the investment market of Ukraine problematic aspects were found, such as: the existence of a tendency to invest in offshore zones, a low differentiation of foreign investors for donor countries and a sharp imbalance in the structure of FDI in the economy of Ukraine. The political instability, unpredictability of a state power, lack of independent judiciary (abuse of courts), corporate raiding, prosecution by tax authorities, shortcomings in the implementation of laws, delays and lack of transparency in VAT refund, corruption and the low level of property rights’ protection demonstrate the inability to build long-term plans with EU member states.
Measures are proposed to improve investment cooperation between Ukraine and the EU in the context of deepening European integration processes, as follow: 1) bringing the strategy of attracting foreign investment in accordance with the needs of the country; 2) providing European investors with the necessary system support (for example, in business registration, attracting personnel); 3) creating the necessary conditions for the further implementation of the liberalization of the legal framework for the free movement of FDI in accordance with EU rules; 4) close cooperation with FDI donor countries; 5) providing conditions for improvement of technical and technological conditions of domestic enterprises; 6) production intensification on an innovative basis, etc.
Constructing a Set of Indicators for Performance Assessment in Higher Education Establishments
Authors: Shablysta L. M. 
Published: May 2019

The current phase of the socio-economic development in Ukraine is marked by the transformation in the national higher education system in order to harmonize it with international standards. These standards are based on the basically new competence-oriented paradigm of the higher education, making emphasis on the quality of higher professional education. An important component of the education quality is the performance of a higher education establishment (HEE), which significance is growing given the increasing competition among HEEs and stricter requirements to the transparence and information openness of their operation. This raises the relevance of the problem related with selection of indicators for assessment of HEE performance. It is pointed out that methodical approaches to quality assessment of HEEs for official accreditation and ranking purposes, practiced in Ukraine now, include the indicators capable for only fragmented assessment of HEE results and focused on education processes. These approaches to performance assessment in HEEs cause a gap between the quality of HEE performance and the quality of education provided by them. It is found that variations between indicators of domestic and international rankings by which HEE performance is assessed occur because international rankings, in contrast to domestic ones, account only for HEE performance, including job placement of graduates or applications of R&D, whereas ways to achieve the performance are considered as a matter of HEE choice. A theoretical and methodological approach to constructing a set of indicators of HEE performance is justified, which is based on the principle that a set of these indicators must provide as full as possible coverage of goals and operative tasks of HEEs, specified in the Law of Ukraine “Higher Education”. It is argued that the result of education process as a propriety operative task of HEE must be specific achievements of graduates, expected and measurable. A set of the indicators measuring results of education activities is proposed. A number of new indicators in addition to R&D spending are proposed for assessment of R&D in HEEs. Also, specific indicators are proposed for assessment of task completion: established international relations and performed international actions in the field of education; the increased education and cultural level of citizens. It is concluded that assessment of HEE performance need to be made by multi-criteria set of components and be based on a system of estimates.
Constructing Groupings by Use of STATISTICA Software Package
Authors: Fetisov V. S. 
Published: May 2019

STATISTICA software package for statistical analysis incorporates a wide range of advanced statistical methods. Quite often they are preceded by aggregating statistical survey data, which main component is their grouping. Although this phase of statistical data processing is relatively simple, the manual process of aggregation can be time-consuming given the need to process large data arrays, not mentioning a high probability of errors. Therefore, the all-purpose STATISTICA software package is a logical and reasonable tool for grouping of data.
The article shows the grouping algorithm in STATISTICA software package, with focus on setup when constructing tables of frequencies of discrete and continual characters. Various options of grouping are scrutinized, with providing examples of their visualization.
A large number of STATISTICA parameters offers ample opportunities for constructing user tables, but users often are not aware of these options or do not know how they can be applied. Yet, the apparently simple grouping process in STATISTICA software package can sometimes require the knowledge of fine mechanisms for its setup. The article gives a detailed description of the mechanisms for creating interval margins when applying the parameter “approximate number of intervals”.
The standard algorithm for selection is analyzed, allowing a user to limit the number of groups in a grouping. STATISTICA allows for using a number of grouping parameters, enabling to produce more convenient results or filter them. Thus, setting the clicker for label field “Grouping” in the position “Integer Categories” (integer intervals (categories)) initiates the grouping only for integer values of a variable, by excluding the observations containing its fractional values.
When only standard parameters are used, it will be impossible to form uneven or open intervals. This issue is out of focus in specialized literature and Internet sources. The article shows the algorithm for constructing open intervals by user-set conditions and the process of creating these conditions. This option allows for forming both closed and open intervals by solving all the problems in time of grouping. Because creating such conditions is time consuming, they should be preserved if they are required for further use.
Setting up of STATISTICA software with missing data is analyzed. Its application will be advisable when a grouping for two or more variables is constructed. In this case, a separate sheet with a grouping is to be created in the worksheet for each variable.
Klasterisasi karakteristik kekerasan seksual terhadap anak dengan metode k-means cluster analysis
Authors: Wiza Fana 
Published: May 2019

“Kekerasan seksual terhadap anak sudah termasuk masalah yang sangat meresahkan di masyarakat khususnya kota Pekanbaru. Semakin banyaknya kasus tindakan kekerasan seksual terhadap anak, maka perlu mencari solusi dan sebuah pengetahuan baru untuk mengatasi permasalahan ini dengan menggali data kasus disertai karakteristik jenis kekerasan, range usia dan faktor pemicu menggunakan algoritma K-Means untuk menghasilkan pola cluster yang terbentuk berdasarkan kedekatan kriteria antar variabel. Teknik yang digunakan dalam aplikasi data mining ini adalah teknik Clustering dengan algoritma K-Means. Algoritma K-Means ini melakukan proses iterasi untuk menghasilkan pola kelompok berdasarkan kedekatan kriteria yang mirip. Teknik ini membantu menganalisis data kasus kekerasan seksual terhadap anak berjumlah 335 data kasus. Melalui data tersebut diperoleh hasil sebanyak 3 cluster. Cluster yang mendominasi adalah cluster 1 dengan kriteria jenis kekerasan seksual pencabulan pada anak di range usia 3 sampai dengan 16 tahun dengan faktor pemicu terbesar adalah kesempatan.”
Kata kunci : kekerasan, seksual, k-means, clustering, data mining.
Abstract
“Sexual violence against children is one of the most troubling problems in the community, especially in Pekanbaru. The more cases of acts of sexual violence against children, it is necessary to find a solution and a new knowledge to overcome this problem by exploring case data along with the characteristics of violence, age range and trigger factors using the K-Means algorithm to produce cluster patterns based on the proximity of criteria variable. The technique used in data mining applications is the Clustering technique with the K-Means algorithm. This K-Means algorithm performs an iterative process to produce group patterns based on similar criteria proximity. This technique helps analyze data on cases of sexual violence against children totaling 335 case data. Through these data, there are 3 clusters of results. The cluster that dominates is cluster 1, with the criteria for the types of sexual abuse sexual abuse for children in the age range of 3 to 16 years with the greatest trigger factor is opportunity.”
Keywords: violence, sexual, k-means, clustering, data mining.
Copper Indium Disulfide Quantum Dot Light Emitting Diodes for Display and Lighting Technologies
Authors: Barba Stefano 
Published: May 2019

While significant advances in the development of quantum dot light emitting diodes (QLEDs) have been reported, these devices are primarily based on cadmium chalcogenide quantum dot (QD) materials. Both environmental and health concerns arise due to the toxicity of cadmium and consequently, alternative less toxic QDs must be developed for large scale QLED applications such as display and solid state lighting technologies. In this work, copper indium disulfide (CIS) was investigated as an alternative QD material for QLED applications. Through experimentation with material synthesis and device fabrication, this project aimed to develop high performing CIS QLEDs. Several synthetic approaches were experimented with and it was determined that the injection of shorter chain 1-octanethoil as sulfur precursor with extensive shell reaction time resulted in highly luminescent QDs. Single color QLEDs were fabricated based on typical device structure, using highly luminescent synthesized CIS QDs as the emissive layer in multilayer devices. Varying the shell reaction time of QDs in order to vary shell thickness resulted in significant differences in device performance. Using thicker shell QDs, high performing devices were obtained with the best performing QLEDs displaying a high peak current efficiency of 14.7 cd/A and high external quantum efficiency of 5.2%.
ОХОЛОДЖЕННЯ ПОВІТРЯ НА ВХОДІ ГТУ З ВИКОРИСТАННЯМ РЕЗЕРВУ ХОЛОДОПРОДУКТИВНОСТІ АБСОРБЦІЙНО-ЕЖЕКТОРНОЇ ХОЛОДИЛЬНОЇ МАШИНИ В БУСТЕРНОМУ ПОВІТРООХОЛОДЖУВАЧІ
Authors: Радченко Андрій Миколайович , Кантор Сергій Анатолійович , Портной Богдан Сергійович , Щербак Юрій Георгійович 
Published: May 2019

The processes of gas turbine unit two-stage intake air cooling by absorption lithium-bromide chiller as a high temperature cooling stage to the temperature of about 15 °C and by refrigerant ejector chiller as a low temperature cooling stage to the temperature of about 10 °C through utilizing the turbine exhaust gas waste heat for hour-by-hour changing ambient air temperatures and changeable heat loads on the air coolers as consequence during 10 days of July 2017 (10–12.07.2017) for climatic conditions of the south of Ukraine are analyzed. The computer programs of the firms-producers of heat exchangers were used for gas turbine unit inlet air cooling processes simulation.It is shown that at decreased heat loads on the air coolers an excessive refrigeration capacity of combined absorption-ejector chiller exceeding current heat loads is generated which can be used for covering increased heat loads on the air coolers and to reduce the refrigeration capacity of the absorption-ejector chiller. To solve this task the refrigeration capacity required for gas turbine unit inlet air cooling is compared with an excessive refrigeration capacity of the absorption-ejector chiller exceeding current heat loads summarized during 10 days.The system of gas turbine unit inlet air cooling with a booster stage of precooling air and a base two-stage cooling air to the temperature of about 10 °C by absorption-ejector chiller has been proposed. An excessive refrigeration capacity of the absorption-ejector chiller generated during decreased heat loads on the gas turbine unit inlet air coolers that is collected in the thermal accumulator is used for gas turbine unit inlet air precooling in a booster stage of air coolers during increased heat loads on the air coolers. The results of gas turbine unit inlet air cooling processes simulation proved the reduction of refrigeration capacity of the absorption-ejector chiller by about 50 % due to the use of a booster stage for precooling air at the expanse of an excessive absorption-ejector chiller refrigeration capacity served in the thermal accumulator. The conclusion has been made about the efficient use of a booster stage of gas turbine unit inlet air cooler for precooling air by using an excessive refrigeration potential of absorption-ejector chiller saved in the thermal accumulator
ОЦІНЮВАННЯ ТОЧНОСТІ ВИМІРЮВАНЬ ДАЛЬНОМІРНОГО ОБЛАДНАННЯ
Authors: Остроумов Іван Вікторович 
Published: May 2019

Determination of the location of the aircraft is one of the important tasks of navigation. The accuracy of aircraft positioning in the airspace is directly related to the safety of aviation. Modern trends in the development of aircraft positioning systems gradually increase the role of DME in the modern air navigation system, which sets certain requirements for the accuracy of navigation measurements.Measurement of DME distance is considered under the influence of additive measurement error characterized by Gaussian probability distribution with zero mathematical expectation and a certain value of dispersion. In accordance with regulative documents, DME error is considered as the sum of errors such as an error connected with signal propagation in space and airborne interagetor error. However, different regulative documents set up different requirements for the maximum permissible dispersion value. In particular, FAA AC90-100A and ICAO DOC-9613, consider the error of on-board equipment as a function of distance between an interrogator and DME, while the RTCA DO-189 limits it to a certain value. In the general case, the components of error of signal propagation in space are the following: an error of signal arrival detection at the ground part of equipment; an error of delay of navigation signal at the ground part of DME; an error associated with the propagation of radio waves in the airspace. Computer simulation shows that error of modern DME systems is much more smaller then associated requirements of regulative documents. An article analyzes the approaches used to estimate accuracy of DME measurements, proposes a generalized model for estimating accuracy, and analyzes the ways to improve accuracy of DME measurements. One of the effective means of DME accuracy increasing is the introduction of new forms of interrogating signal that is completely compatible with existing equipment, which, in contrast to the change of navigation signal, does not require the change of ground infrastructure