bluuebunny/crossref_metadata_2025 huggingface dataset:
Classification method of marine target motion pattern based on spatial-temporal trajectories
Authors: Jiang Baichen , Zhou Wei , Guan Jian , Jin Jialong
Published: August 2021

Classifying the motion pattern of marine targets is of important significance to promote target surveillance and management efficiency of marine area and to guarantee sea route safety. This paper proposes a moving target classification algorithm model based on channel extraction-segmentation-LCSCA-lp norm minimization. The algorithm firstly analyzes the entire distribution of channels in specific region, and defines the categories of potential ship motion patterns; on this basis, through secondary segmentation processing method, it obtains several line segment trajectories as training sample sets, to improve the accuracy of classification algorithm; then, it further uses the Leastsquares Cubic Spline Curves Approximation (LCSCA) technology to represent the training sample sets, and builds a motion pattern classification sample dictionary; finally, it uses lp norm minimized sparse representation classification model to realize the classification of motion patterns. The verification experiment based on real spatial-temporal trajectory dataset indicates that, this method can effectively realize the motion pattern classification of marine targets, and shows better time performance and classification accuracy than other representative classification methods.
Inferiority complex of higher vocational students based on improved random sampling
Authors: Sun Weifu , Yang Wenbo , Sun Guohong , Yang Xu
Published: August 2021

Some factors affecting the physical and mental health of vocational college students, the sense of inferiority plays a very important role in cultivating students with physical and mental health. Inverse random under sampling algorithm is improved based on integrated learning, which can improve the performance of the classifier. Stacking integrated learning and flip random sampling reduction algorithm SIRUS is proposed. Select the individual subjective factors studied in this paper is important in self-attribution and social objective factors are important social support factors, and the only demographic variables is a significant difference.
Dynamic early warning system of College Students’ target course performance based on improved Apriori algorithm
Authors: Sun Guohong , Guo Shaocui , Hao Guo , Yang Wenbo
Published: August 2021

The early warning system of College Students’ target course achievement is an important part of the educational administration system in Colleges and universities. This paper proposes to use some techniques of association principle to mine a large amount of data in the performance system to a certain extent, and obtain available rules from the data. Based on the characteristics and shortcomings of Apriori algorithm, an improved Apriori is proposed. The algorithm can process and mine the data in the early warning system of College Students’ scores, and finally obtain the management principles, thus forming an effective early warning for the course learning. In order to promote the improvement of students’ academic performance and achieve the ultimate goal of cultivating excellent talents in Colleges and universities.
The impact of consumption on economic growth in Chongqing based on the decomposition of input output table
Authors: Jia You , Qi Ren
Published: August 2021

This paper investigates the effects of Chongqing’s rural and urban residents and total resident population on economic development based on the residents’ consumption structure and analyses of economic development theories concerned by using the input-output table of Chongqing during 2002–2017 and SDA (Structure Decomposition Analysis) model. The study found that, compared with the previous years, the direct consumption of the primary industry’s unit output to the industrial products has decreased significantly in 2017, while the direct consumption to the tertiary industry has increased significantly; The direct consumption per unit output of the second industry is basically equal to that of the products of the industry, while the direct consumption of the products of the third industry has increased; The direct consumption per unit output value of the tertiary industry is basically equal to that of the primary industry. In the long run, the changes in consumption structure of rural and urban residents and total resident population and the increase in proportion of tertiary industry accelerate the transformation and upgrading of industrial structure. However, the effect of consumption structure on GDP (Gross Domestic Product) varies from year to year. On the whole, the changes of residents’ consumption have a positive effect on GDP (Gross Domestic Product).
Parallel computing of fuzzy integrals: Performance and test
Authors: Wang Jinfeng , Huang Shuaihui , Jiang Fajian , Zheng Zhishen , Ou Jianbin , Chen Hao , Chen Runjian , Wang Wenzhong
Published: August 2021

Fuzzy integral in data mining is an excellent information fusion tool. It has obvious advantages in solving the combination of features and has more successful applications in classification problems. However, with the increase of the number of features, the time complexity and space complexity of fuzzy integral will also increase exponentially. This problem limits the development of fuzzy integral. This article proposes a high-efficiency fuzzy integral—Parallel and Sparse Frame Based Fuzzy Integral (PSFI) for reducing time complexity and space complexity in the calculation of fuzzy integrals, which is based on the distributed parallel computing framework-Spark combined with the concept of sparse storage. Aiming at the efficiency problem of the Python language, Cython programming technology is introduced in the meanwhile. Our algorithm is packaged into an algorithm library to realize a more efficient PSFI. The experiments verified the impact of the number of parallel nodes on the performance of the algorithm, test the performance of PSFI in classification, and apply PSFI on regression problems and imbalanced big data classification. The results have shown that PSFI reduces the variable storage space requirements of datasets with aplenty of features by thousands of times with the increase of computing resources. Furthermore, it is proved that PSFI has higher prediction accuracy than the classic fuzzy integral running on a single processor.
Research on hesitant fuzzy matroid based on satisfaction function
Authors: Xiao Huimin , Wang Meiqi
Published: August 2021

In this paper, we mainly extended the study of fuzzy matroid related problems to research the fuzzy decision method. Considering the ambiguity of actual event information and evaluation, we chose hesitant fuzzy set as the extended data set. To construct the hesitant fuzzy matroid, we defined the satisfaction function of hesitant fuzzy set combining hesitant fuzzy index entropy and score function, and defined the mapping function of fuzzy matroid through this function. We also defined the algorithm of hesitant fuzzy matroid and proved the theory of rank, basis of hesitant fuzzy matroid.
Non-steroidal anti-inflammatory drugs and risk of acute adverse renal outcomes in diabetes and diabetic kidney disease
Authors: Lim Cynthia Ciwei , Kadir Hanis Bte Abdul , Tan Ngiap Chuan , Ang Andrew Teck Wee , Bee Yong Mong , Lee Puay Hoon , Goh Bandy Qiuling , Ang Alcey Li Chang , Xin Xiaohui , Kwek Jia Liang , Lam Amanda Yun Rui , Choo Jason Chon Jun
Published: August 2021

BACKGROUND: Individuals with diabetes mellitus (DM) may be susceptible to non-steroidal anti-inflammatory drug (NSAID)-induced acute kidney injury (AKI) but data on NSAID-related adverse renal events is sparse. OBJECTIVE: We aimed to evaluate the risk of acute kidney injury and/or hyperkalemia after systemic NSAID among individuals with DM and diabetic chronic kidney disease (CKD). METHODS: Retrospective cohort study of 3896 adults with DM with incident prescriptions between July 2015 and December 2017 from Singapore General Hospital and SingHealth Polyclinics. Laboratory, hospitalization and medication data were retrieved from electronic medical records. The primary outcome was the incidence of AKI and/ or hyperkalemia within 30 days after prescription. RESULTS: AKI and/or hyperkalemia occurred in 13.5% of all DM and 15.8% of diabetic CKD. The association between systemic NSAID >14 days and 30-day risk of AKI and/or hyperkalemia failed to reach statistical significance in unselected DM (adjusted OR 1.62, 95% CI 0.99–2.65, p = 0.05) and diabetic CKD (adjusted OR 0.64, 95% CI 0.15–2.82, p = 0.64), but the odds of AKI and/or hyperkalemia were markedly and significantly increased when NSAID was prescribed with renin-angiotensin-aldosterone system (RAAS) blocker (adjusted OR 4.17, 95% CI 1.74–9.98, p = 0.001) or diuretic (adjusted OR 3.31, 95% CI 1.09–10.08, p = 0.04) and in the absence of diabetic CKD (adjusted OR 1.98, 95% CI 1.16–3.36, p = 0.01). CONCLUSION: NSAID prescription >14 days in individuals with DM with concurrent RAAS blockers or diuretics was associated with higher 30-day risk of AKI and/or hyperkalemia.
Performance validity testing via telehealth and failure rate in veterans with moderate-to-severe traumatic brain injury: A veterans affairs TBI model systems study1
Authors: Kanser Robert J. , O’Rourke Justin J.F. , Silva Marc A.
Published: August 2021

BACKGROUND: The COVID-19 pandemic has led to increased utilization of teleneuropsychology (TeleNP) services. Unfortunately, investigations of performance validity tests (PVT) delivered via TeleNP are sparse. OBJECTIVE: The purpose of this study was to examine the specificity of the Reliable Digit Span (RDS) and 21-item test administered via telephone. METHOD: Participants were 51 veterans with moderate-to-severe traumatic brain injury (TBI). All participants completed the RDS and 21-item test in the context of a larger TeleNP battery. Specificity rates were examined across multiple cutoffs for both PVTs. RESULTS: Consistent with research employing traditional face-to-face neuropsychological evaluations, both PVTs maintained adequate specificity (i.e., > 90%) across previously established cutoffs. Specifically, defining performance invalidity as RDS < 7 or 21-item test forced choice total correct < 11 led to < 10%false positive classification errors. CONCLUSIONS: Findings add to the limited body of research examining and provide preliminary support for the use of the RDS and 21-item test in TeleNP via telephone. Both measures maintained adequate specificity in veterans with moderate-to-severe TBI. Future investigations including clinical or experimental “feigners” in a counter-balanced cross-over design (i.e., face-to-face vs. TeleNP) are recommended.
Hubness weighted SVM ensemble for prediction of breast cancer subtypes
Authors: Raja Sree S. , Kunthavai A.
Published: August 2021

BACKGROUND: Breast cancer is a major disease causing panic among women worldwide. Since gene mutations are the root cause for cancer development, analyzing gene expressions can give more insights into various phenotype of cancer treatments. Breast Cancer subtype prediction from gene expression data can provide more information for cancer treatment decisions. OBJECTIVE: Gene expressions are complex for analysis due to its high dimensional nature. Machine learning algorithms such as k-Nearest Neighbors, Support Vector Machine (SVM) and Random Forest are used with selection of features for prediction of breast cancer subtypes. Prediction accuracy of the existing methods are affected due to high dimensional nature of gene expressions. The objective of the work is to propose an efficient algorithm for the prediction of breast cancer subtypes from gene expression. METHODS: For subtype prediction, a novel Hubness Weighted Support Vector machine algorithm (HWSVM) using bad hubness score as a weight measure to handle the outliers in the data has been proposed. Based on the various subtypes, features are projected into seven different feature sets and Ensemble based Hubness Aware Weighted Support Vector Machine (HWSVMEns) is implemented for breast cancer subtype prediction. RESULTS: The proposed algorithms have been compared with the classical SVM and other traditional algorithms such as Random Forest, k-Nearest Neighbor algorithms and also with various gene selection methods. CONCLUSIONS: Experimental results show that the proposed HWSVM outperforms other algorithms in terms of accuracy, precision, recall and F1 score due to the hubness weightage scheme and the ensemble approach. The experiments have shown an average accuracy of 92% across various gene expression datasets.
Investigation of heart rate variability of patients undergoing coronary artery bypass grafting using the statistical signal characterization method
Authors: Hossen Abdulnasir
Published: August 2021

BACKGROUND: Autonomic function can be estimated non-invasively using heart rate variability (HRV). HRV of patients undergoing coronary artery bypass grafting (CABG) is investigated in time-domain and frequency-domain before and after CABG to study the effect of operation on the status of patients. OBJECTIVE: The main purpose of this work is to evaluate the effect of CABG surgery on patients with ischemic heart disease (IHD) before operation, and to monitor the status of patients on day 6 and day 30 after the CABG operation. METHODS: The statistical signal characterization (SSC) technique is used in this work in order to derive different morphology-based parameters to indirectly describe time-domain and frequency-domain HRV parameters in 24 patients undergoing CABG operation, before the operation (Group 1: G1), 6 days after operation (Group 2: G2) and 30 days after operation (Group 3: G3). The data is obtained from the Sultan Qaboos University Hospital in Oman. RESULTS: The SSC parameters Mean(mt) and Mean(dt) are reduced in all 24 patients and in 23 out of 24 patients in G2 compared to G1 (6-days after operation compared with before operation), respectively. Comparing G3 to G1 the reduction in Mean(mt) and Mean(dt) is noted in 18 of the 24 patients. CONCLUSIONS: The parameters Mean(mt) and Mean(dt) are successful parameters to follow the HRV for patients undergoing CABG surgery. A relation between those SSC parameters and the HRV time-domain and frequency-domain parameters is investigated in this paper to understand the physiological behavior of the patients.
Comparative Analysis of Naira/US Dollar Exchange Rate Volatility using GARCH Variant Modeling
Authors: Adi Agya Atabani , Kingsley Amadi W. , Hassan David Vincent
Published: August 2021

This paper employed variant GARCH models to examined official, interbank and Bureau de change returns volatilities. Using monthly exchange rate of Naira/USD from January 2004 to September 2020 (2004:1-2020:9), the returns were not normally distributed and stationary at level. Ljung-Box Q statistic and Ljung-Box Q2 statistics of power transformed using power 0.25, 0.5 and 0.75 for conditional heteroscedasticity for lags of 6, 12 and 20 indicated present of conditional heteroscedascity in all returns.

The study found exchange rate volatility in Official, interbank and Bureau de change exchange rate returns were persistent. However, Bureau de change return was more persistent while official exchange rate return was the least persistent. Also, leverage effect exist in all the three exchange rate returns and asymmetric model were the best model for estimating exchange rate return while IGARCH was the worst model to estimate exchange rate return in Nigeria. There is need to incorporate news impact when developing exchange rate policy by monetary authority in Nigeria.
PENGARUH SISTEM PENGENDALIAN INTERN DAN PENERAPAN SISTEM AKUNTANSI KEUANGAN DAERAH TERHADAP KUALITAS LAPORAN KEUANGAN PEMERINTAH KABUPATEN INDRAGIRI HILIR
Authors: GUSTINA IRA
Published: August 2021

Penelitian ini bertujuan untuk mengetahui pengaruh Sistem Pengendalian Internal Dan  Penerapan Sistem Akuntansi Keuangan Daerah terhadap Kualitas Laporan Keuangan Pemerintah Kabupaten Indragiri Hilir Pada OPD Kabupaten Indragiri Hilir. Populasi dalam penelitian ini adalah Kasubbag Keuangan dan Bendahara Keuangan yang tentunya melaksanakan fungsi atau tanggung jawabnya terkait penyusunan laporan keuangan dan Sampel dalam penelitian ini sebanyak 50 orang yang mengisi kuesioner yang telah disebarkan. Metode Analisis data yang digunakan adalah regresi linier berganda, dengan pengujian uji asumsi klasik yang digunakan adalah uji normalitas data, uji multikolinieritas dan uji heterokedastisitas. Pengujian hipotesa uji –t  dan uji koefisien determinasi (R2). Statistik deskriptif digunakan untuk membantu menganalisis data dengan mendeskripsikan data yang telah terkumpul.

Hasil penelitian ini menunjukkan bahwa persamaan regresi linier berganda yaitu Y= 12.715+0.011X1+0.309X2+ε. Uji secara parsial diketahui bahwa Sistem Pengendalian Intern (X1) tidak berpengaruh secara parsial terhadap Kualitas Laporan Keuangan Pada OPD Kabupaten Indragiri Hilir.  Sistem Akuntansi Keuangan Daerah (X2) berpengaruh secara parsial terhadap Kualitas Laporan Keuangan Pada OPD Kabupaten Indragiri Hilir. Uji koefisien determinasi nilai Adjusted R Square sebesar 0,349 artinya adalah bahwa terdapat sebanyak 34,9% pengaruh variabel Kualitas Laporan Keuangan dipengaruhi oleh Sistem Pengendalian Internal dan Sistem Akuntansi Keuangan Daerah. Sedangkan sisanya sebesar 47,1% dipengaruhi oleh variabel lain yang tidak dimasukkan atau diteliti dalam penelitian ini.
Social Media Marketing for User Engagement: Evidence from Bosnia and Herzegovina
Authors: Mekić Ensar , Zerdo-Puljić Minela
Published: August 2021

Internet enabled the emergence of social media platforms, opened new markets and changed the way businesses and organizations operate, communicate with their target audience, promote their activities and achievements. Non-profit organizations worldwide use social media platforms and strive to increase user engagement and the number of reactions to achieve their goals. Although in Bosnia and Herzegovina, non-profit organizations use social media platforms, there is no empirical evidence of their success in increasing user engagement and the number of reactions. This study investigates which social media factors have an influence on user engagement, particularly on the number of reactions on Facebook posts. The real data from the period of 15 months were collected from a Facebook business profile of a non-profit organization from Bosnia and Herzegovina. SPSS and Excel were used to analyze the data. According to the research results, the period of publishing and the number of photos have an effect on the number of reactions on Facebook posts, while the amount of text and the day of publishing do not have an effect on the number of reactions.
Studi Komparasi Perilaku Wisatawan Nusantara Generasi-X dan Milenial Era Revolusi Industri 4.0 di Indonesia
Authors: Mayasari Soeswoyo Dina , Rahardjo Sekti
Published: August 2021

The rapid development of the tourism industry in Indonesia has also contributed to the intense level of competition among tourism destination and their supporting industries. Marketers are required to be smarter in determining the promotion tool and marketing strategies of their businesses. This survey research aims to improve understanding of the characteristics and travelling behavior from two different market segments namely Generation X (born 1965-1980) and Generation Y or Millennial Generation (born 1981-2000). Data collection techniques were carried out by triangulation, namely literature review, questionnaires and interviews face to face directly and through WhatssApp. The sample of respondents used was 162 Gen-X and 244 Gen-Y selected purposively, by distributing questionnaires during February 2020 to visitors who have traveled to the city of Bogor. Data analysis was performed descriptively qualitative. The result from this survey research in this case study is that Gen-X and Gen-Y have many similarities in terms of characteristics and travel behavior. Significant differences in the two generations are in the 3 attributes of Respondent Characteristics (gadget usage time per day, social media preferences used, travel budget) and Travel Behavior in the aspects of Initiation, Decision Making, When Traveling and Post-Traveling.
Pengaruh Persepsi dan Preferensi Tamu Terhadap Keputusan Menginap di Hotel Syariah Kota Bandung
Authors: Karnita Ita , Rosdiana Aprilia Lu’luwatin
Published: August 2021

This study aims to analyze how preceptions, preference and stay decision  of syariah hotel guest in northern part of Bandung ((Hotel Noor, Hotel Narapati dan Hotel Darul Jannah). The method used in this research is quantitative methods. The population in this study were guest of syariah hotel in northern part of Bandung ((Hotel Noor, Hotel Narapati dan Hotel Darul Jannah). Sampling technique used in this method, while for calculating the amount of sample size using formula slovin. The number of respondent are 150 people. Probability sampling used as a technique sampling. Path analysis was used to analyze the result in this research. The result of this research showed thatstay decision influenced by the perception and preference. Perceptions  influenced  stay decision of syariah hotel guest more than preference variable.. The limited conditions of perceptions and preference will be impact to the low  stay decision  of guest. . In addition the research also showed that perceptions and preference  significantly influence stay decision.
Pengaruh Persepsi Risiko Bencana Tsunami dan Citra Destinasi Terhadap Niat Berkunjung Kembali Wisatawan ke Pantai Anyer Banten
Authors: Nur Ali Darajat Muhammad , Rahmafitria Fitri , Miftah Wirakusuma Reiza
Published: August 2021

This study aims to explore the effect of tsunami risk perception and destination image on the intention of returning tourists. The data collection technique used purposive sampling which was distributed to 171 tourists who had visited Anyer Beach. Hypothesis testing was carried out using multiple linear regression through the SPSS 26 for windows program. The results showed that the perception of tsunami risk and the image of the destination in Anyer Beach had a negative effect on the intention to return to Anyer Beach. Although there is no direct influence of perception of tsunami risk on intention to revisit, this study found that the image of the destination was able to reduce the level of tourists' perception of tsunami risk, so that they were willing to revisit disaster-prone destinations.
Co-Creation Pada Tingkat Kunjungan Kedai Kopi di Bandung
Authors: Riyanti Anti , Chandra Lesmana Andhika
Published: August 2021

Restaurant is a limitless industry, serving food and drinks to everyone near and far from their homes. It takes innovation and creativity in a business in order to continue to compete with other similar companies. Coffee shops are starting to grow and are mushrooming especially in big cities like Bandung. Co-creation is a term with the intention of allowing consumers to create shared value through collaboration their own desired drink which is expected to increase the level of visits at the coffee shop. This research was conducted in a period of less than one year, so the approach method used is a cross sectional method. Through this method with the aim of researchers being able to reveal and examine how much influence co-creation has in coffee shop consumer visits in Bandung. Based on the variables studied, the research method used is the quantitative method. The results show that Co-Creation is in the very high category and is an indication that the majority of respondents have a tendency to believe that all creative activities and social processes through collaboration between the coffee shop and their consumers have been carried out well. The level of visits is in the high category, this shows that respondents have high satisfaction so that it encourages buying behavior and loyalty. This means that a well co-creation will create the consumers to make visits and purchase attitudes.
PROMOSI DAERAH DAN E – MARKETING PARIWISATA HALAL TERHADAP KEPUTUSAN BERKUNJUNG WISATAWAN DI YOGYAKARTA
Authors: Safira Raja Ela , Sholikah Winda , Rahmanto Dhidhin Noer Ady
Published: August 2021

Abstract. Regional Promotion and E-Marketing of Halal Tourism against Tourist Visits in Yogyakarta. This research was conducted to find out how the influence of Halal Tourism Promotion Based on E-Marketing against Tourist Visits in Yogyakarta. Promotion is an important thing that needs to be considered in attracting tourists. In this millennial era, the development of technology very fast, many activities using technology. Furthermore, the using of E-Marketing more suitable for increasing the number of tourists. This research used multiple linear regression method with moderating variables to show the influence of Halal Tourism Promotion Based on E-Marketing Against Tourist Visits in Yogyakarta with data collection techniques used were questionnaires and observations. The result of this research was found that using E-Marketing can increase tourist’s interest to visit halal tourism in Yogyakarta. When using regional promotions only gained 7% and when using E-Marketing increased to 67%.  Abstrak.  Promosi Daerah dan E–Marketing Pariwisata Halal Terhadap Keputusan Berkunjung Wisatawan di Yogyakarta.  Penelitian ini dilakukan untuk mengetahui bagaimana pengaruh Promosi Pariwisata Halal Berbasis E-Marketing Terhadap Keputusan Berkunjung Wisatawan di Yogyakarta. Promosi merupakan hal penting yang perlu dilakukan dan diperhatikan dalam menarik minat wisatawan. Di era milenial ini teknologi sangat berkembang dengan pesat, sehingga banyak aktivitas yang dilakukan menggunakan teknologi. Dengan demikian penggunaan E-Marketing dinilai cocok untuk meningkatkan wisatawan. Metode pengujian adalah dengan menggunakan metode regresi linier berganda dengan variabel moderating untuk menunjukkan hasil dari penelitian pengaruh Promosi Pariwisata Halal Berbasis E-Marketing Terhadap Keputusan Berkunjung Wisatawan di Yogyakarta. Teknik pengumpulan data yang digunakan adalah menggunakan kuesioner dan observasi. Dari hasil penelitian ini ditemukan bahwa penggunaan E-Marketing dapat meningkatkan minat wisatawan untuk berkunjung ke pariwisata halal di Yogyakarta. Pada awalnya ketika menggunakan promosi daerah hanya memperoleh sebesar 7% dan ketika menggunakian E-Marketing meningkat menjadi 67%.
PENERAPAN JASA PINJAMAN DALAM SIMPAN PINJAM DI KOPERASI
Authors: Fatriansyah Alif Ilham Akbar
Published: August 2021

Jasa Pinjaman merupakan bagian dari Koperasi didalam unit usaha Simpan Pinjam, yang dihasikan atas ketidakkonsistenan dalam penerapan suatu prinsip, apakah koperasi menggunakan prinsip syariah atau prinsip konvensional sehingga akan menghasilkan penyimpangan. Hal ini bisa tercermin karena jasa pinjaman yang selama ini terjadi di Koperasi Simpan Pinjam merupakan gabungan dari Al-Qardh yang mewakili dari prinsip syariah dan Hutang yang mewakili dari prinsip konvensional.
ENCOURAGE PEOPLE’S INTEREST TO DO CASH WAQF
Authors: Hadiyati Puji , Gladys Annisa Indah , Iqbal Muhammad
Published: August 2021

This study aims to identify the community interest to cash waqf. The population of this study are people living in Jabodetabek area. Variables used in this study include knowledge, understanding, awareness and promotion of community interest to cash waqf. Simple Random Sampling is the sampling method in this research and regression with ordinary least squared approach become its analysis method. The results show that knowledge and understanding do not have an influence on the community interest to doo cash waqf, while the awareness and promotion variables affect the community interest to do cash waqf.
Implantação de um ambulatório de psicologia em uma unidade de pronto atendimento: relato de experiência sobre a assistência à saúde mental dos profissionais de saúde durante a pandemia da COVID-19
Authors: Santana Joíza Maria de Oliveira , Ramalho Renan Enes , Nascimento Joelma Sampaio do , Nascimento Pedro Carlos Lira do
Published: August 2021

Introdução: No ano de 2020 o Brasil enfrentou a primeira onda de contaminação pelo SARS CoV-2 e atualmente vive-se a segunda onda do pico do vírus. Diante disso, praticamente todos os estados brasileiros sofreram um colapso no sistema de saúde com superlotações e filas de espera para tratamento em unidades de terapia intensiva. Os profissionais de saúde foram a primeira classe de trabalhadores a sofrer os impactos desta pandemia devido às vulnerabilidades decorrentes da sua atividade laboral. Problema de pesquisa: Questionou-se como que um serviço de plantão psicológico poderia contribuir para minimização dos impactos psicológicos e emocionais, sendo criado um ambulatório psicológico de atendimento aos profissionais de saúde da linha de frente da Unidade de Pronto Atendimento da Zona Sul do município de Porto Velho. Objetivos: O objetivo deste estudo é discorrer sobre a percepção dos autores na construção, implementação e atuação no serviço de Psicologia na unidade municipal visando a promoção da saúde psicoemocional dos profissionais durante este período de crise. Metodologia: A metodologia adotada consistiu em um estudo descritivo, na modalidade de Relato de Experiência. A linha de atendimento utilizada nesse espaço foi embasada na abordagem da psicoterapia breve e formato de plantão psicológico. Resultados: A presença do psicólogo no acolhimento aos profissionais de saúde proporcionou suporte psicológico e emocional com enfoque na prevenção do adoecimento e promoção de saúde dos trabalhadores frente a atual situação pandêmica. Conclusão: Os benefícios de um ambulatório para os profissionais de saúde nas unidades são essenciais para que os mesmos possam cuidar de sua qualidade de vida mesmo diante de uma pandemia.
INFLUENCERS AS AN IMPORTANT COMPONENT OF DIGITAL MARKETING
Authors: Ponomarenko Ihor
Published: August 2021

The main types of digital marketing and subtypes of social network marketing are presented, which differ based on the specifics of the posted content and the main characteristics of the target audience. Scientifically based approaches to influencing the target audience through the formation of requests for useful advice and recommendations help to optimize the activities of companies in the digital environment. It is expedient to implement the presented approaches within the framework of recommendation marketing. The expediency of using influencers to establish long-term and effective communications with potential customers in the digital environment has been proved. The effectiveness of the use of opinion leaders is based on the tendency of users to trust bloggers more than advertising in offline and online environments. Experts recommend that in the framework of social network marketing to distinguish: YouTube-marketing, Instagram-marketing, TikTok-marketing, Facebook-marketing, LinkedIn-marketing and more. Due to the specifics of photo and short video content distribution, Instagram is very popular among influencers, who have the opportunity to constantly contact the target audience and attract a large number of subscribers. The main factors influencing the cost of influencers' services and features of building a marketing campaign in the digital environment are revealed. The use of celebrities is subject only to large companies due to significant advertising budgets, and small companies do not have the opportunity to spend significant amounts of resources to attract top influencers. The incompatibility of costs and results forces small businesses to engage in marketing campaigns in the digital environment of leaders of influence, who demand much lower fees for their services. The gradation of payment of opinion leaders in the current year depending on the number of subscribers is given and the specifics of pricing of services of popular personalities (actors, sportsmen, models, etc.) are outlined. The dynamics of changes in the structure of social media and the emergence of new players over a short period of time, which is explained by the processes of digitalization and the rapid change of interests of the target audience.
COVID-19 EXTERNALITIES: ECONOMIC IMPACTS AND POLICY RESPONSES IN CHINA
Authors: Posypanko Olha
Published: August 2021

This article focuses on the Chinese experience in mitigating the influence of COVID-19 and addresses the impact of the pandemic on the world economy and, in particular, on China`s economy; examines Chinese policy responses to the supply and demand shocks in terms of fiscal and monetary measures, and considers gains and costs of those actions. Thus, the research is made from the stance of China, with regard to its slowdown which concerning economists and may be also aggravated by the trade confrontation.
Considering the size of the Chinese economy in terms of global interdependence, its contribution to world growth, and growing weight in the international arena, this study makes timely contributions over determining of the global economic developments and prospects.
The result of this study open new avenues for future research and may serve as the source of hypotheses for further quantitative research on Chinese economy and crisis measures amid global pandemic.
FOREIGN EXPERIENCE OF ACCOUNTING DIFFERENCES OF TAXATION AND THEIR REFLECTION IN THE FINANCIAL STATEMENTS OF THE ENTERPRISE
Authors: Shygun Mariya , Chystova Anastasiia
Published: August 2021

Today, in the financial and economic crisis, accounting for differences that arise in determining the pre-tax financial result is an urgent problem that needs to be addressed and foreign experience shows that accounting and calculation of tax differences has its advantages. This article explores the peculiarities of tax accounting differences in foreign countries and analyzes international financial reporting standards regarding accounting and reporting differences. The experience of countries that reflect tax differences is analyzed and compared with the experience of reflecting tax differences in reporting in Ukraine. The authors consider the causes of tax differences and the need to study foreign experience to use it in the national accounting system. At the international level, the need for accounting for tax differences and their reflection in the financial statements was recognized during the adoption of the first edition of International Accounting Standard 12 Income Taxes. It should be noted that in foreign countries there are two approaches to the definition and reflection of the object of taxation. Therefore, in this regard, world experience divides countries into two groups: countries where accounting is carried out in accordance with the requirements of tax legislation and countries where tax legislation does not meet the requirements of accounting. Permanent accounting practice with the calculation of temporary tax differences of foreign countries involves determining the financial result according to accounting data and its further adjustment to calculate pre-tax profit. The main disadvantage of accounting for differences in foreign countries is that countries apply different approaches to the order of calculation of differences and there is no unambiguous interpretation of the order of their calculation and reporting. There is also the problem of forming information about differences in the accounting system. Ukraine is currently at the initial stage of implementing the difference accounting model. To date, the task is to develop and work out a method of determining differences in accordance with the terms of the Tax Code of Ukraine in calculating the taxable financial result based on the experience of countries that already distinguish differences in accounting.
MAIN ASPECTS OF QUALITY CONTROL OF INTERNAL AUDIT OF ENTERPRISES
Authors: Datsenko Hanna
Published: August 2021

The problem of internal audit quality control is extremely relevant for domestic industrial enterprises. This trend is explained by the fact that auditors as a result of the audit may come to an inaccurate conclusion and present erroneous results. The research results proposed in the works of scientists bring significant achievements in the study of current issues of internal audit and their impact on the activities of enterprises. However, the issues of assessing the main aspects of quality control of internal audit of enterprises are not exhaustive and need further study. The aim of the article lies in the importance of quality control of internal audit of industrial enterprises as a basis for its effective and efficient operation as a whole. It is proved that an important stage of internal audit is the process of reporting on the results of internal auditors during the study of the actual state of the enterprise, according to which the internal auditor must establish the significance of the identified deficiencies. It is established that the assessment of control over the results of internal audit is carried out in order to ensure the senior management of the enterprise in obtaining quality services provided to the company by internal audit. It is investigated that the quality control of the conducted internal audit can be determined by testing in two areas: verification of compliance with existing regulations of audit procedures; detection of errors in the activities of structural units or in processes that were not prevented by the audit system. The aspects that should include the assessment of quality control of internal audit are identified. The characteristics of the internal quality control of internal audit, which are based on internal and external evaluation, are highlighted. The importance of monitoring the follow-up after the internal quality control of internal audit is proved. According to the research results, it is proved that an effective internal audit helps to solve problems related to the formation of a scientifically sound system of management decisions based on reliable information and timely optimal proposals for further measures to develop an industrial enterprise not only now but also in the long run.
BEHAVIORAL BIASES IN INVESTMENT DECISIONS: HOME BIAS CASE
Authors: Dziuba Pavlo , Shtogrin Kyryl
Published: August 2021

The place of home bias in the modern paradigm of international portfolio investing is determined. The differences between theory and practice of international portfolio investing resulting from such a bias are identified. Main advantages of international diversification of investment portfolios in terms of performance-risk ratio are defined. It is determined that the growing level of financial markets globalization accompanied by the increase in correlation of returns of financial assets have not affected the benefits of international diversification. The primary problems in determining the reasons for home bias are identified. The main economic and mathematical formalization of home bias in the form of indexes is distinguished. The local bias is investigated. It is revealed that local bias is not limited to national borders. It is determined that home bias is negatively correlated with the wealth of an investor. The extent of home bias for particular groups of countries according to their level of economic development is investigated. It is determined that the highest level of home bias is observed in several developed markets, including China, Japan, the USA, and France, while Luxembourg, the Netherlands, and Switzerland have the highest level of international diversification. The benefits of international diversification based on the MSCI indexes are determined. It is revealed that the benefits from international diversification through emerging markets are higher than those of developed markets. A comparative analysis of portfolios of several countries in the instruments of foreign and local markets is carried out. It is determined that the Great Recession of 2007-2008 promoted the increase in the level of home bias but since 2013 the global level of international diversification has been increasing. Approaches to the analysis of factors of presence of home bias are determined and their main advantages and disadvantages are analyzed based on comparative analysis. The impact of asymmetry of information, financial reporting standards, non-tradable sector of the economy, volumes of investment, inflation, transaction costs, institutional factors on the level of international diversification of the investment portfolio is investigated. A new approach to systematization of factors of home bias through their clustering for institutional, behavioral, transaction and other factors is suggested.
SIMULATION BY FIRST-ORDER LINEAR DIFFERENCE EQUATIONS
Authors: Lisovska Valentyna , Kudyk Tetyana , Vasylieva Dariia
Published: August 2021

The article considers economic and mathematical models and studies the socio-economic processes that develop over time, as well as mathematical models that describe them. These are dynamic models. All variables in dynamic models generally depend on the time that acts as an independent variable. In economic research, there are often problems in which variables acquire discrete numerical values. For example, at the end of the month, quarter, year, etc., production results are optimized; accrual of interest on the bank deposit at the end of the month, six months, at the end of the year. In addition, because computers operate only with numbers, so when using computer technology, all continuous processes are reduced to discrete. In this case, from differential equations that describe certain economic processes, we move to difference equations. There are dynamic models with continuous and discrete time, ie continuous and discrete models. Therefore, depending on the type of dynamics of the system under study, dynamic models can be divided into discrete and continuous. In discrete dynamic models, difference equations or systems of difference equations are used; differential equations or systems of differential equations are used in continuous dynamic models. In addition, in some cases there may be systems with mixed dynamics, then differential-equation equations are used to describe them. Difference equations and systems of equations are used successfully in modeling dynamic processes (in economics, banking, etc.). It is when the change of process occurs abruptly, or discretely, that it is convenient and expedient to apply difference equations and systems of equations. The theory of dynamical systems with discrete time, which arose as a result of building mathematical models of real economic and physical processes at the junction of the theory of difference equations and discrete random processes, is currently experiencing a period of rapid development and widespread use in various spheres of human life. In this paper, we investigate the following equations, as well as show their application to solve economic problems. In particular, discrete models described by first-order difference equations are considered. Considerable attention is paid to the analysis of specific models that are meaningful and widely used in economic theory, banking, etc.
ECONOMIC MECHANISMS FOR REGULATING THE DEVELOPMENT OF ORGANIZATION INSTITUTIONAL FORMS OF FREIGHT AIR TRANSPORT
Authors: Smerichevskyi Serhii , Gura Svitlana
Published: August 2021

The article shows the strategic role of cargo air transport in the economies of the world, related to the maintenance of foreign trade, urgent delivery of goods, their transportation over long distances, and so on. The determining factors of the development of cargo air transport in the global economy are systematized: organizational innovations, information technologies, new forms of cooperation of air carriers and logistics solutions. The contribution of air transport to the formation of cargo turnover in Ukraine is determined. The opposite dynamics of volumes of cargo transportation by air and other types of transport is revealed. The contradiction between the low share of air cargo traffic and their strong absolute and structural growth is quantitatively shown. Air freight is defined by a market of oligopolistic competition due to a limited number of economic entities, the dominance of one large and several medium-sized players, the presence of barriers to entry, which are financial-investment and technical-technological nature. The attractiveness of the air freight market for investments is shown given the predominant positivity of financial results and the growing share of profitable enterprises. The institutional forms of organization of cargo air carriers (classic, combined, hybrid) are generalized, their advantages and disadvantages are defined. The principles of functioning of transport chains and realization of multimodal transportations on the basis of cargo air transport are substantiated. The main information systems of booking and management of air cargo transportation, distribution, pricing, calculations, tracking of luggage by buyers and sellers are characterized. The requirements of the International Air Transport Association for the use of innovative e-freight technologies in aviation are summarized, recommendations for joining the subjects of the domestic air cargo market in terms of electronic document management and simplification of customs procedures are developed. The improvement of economic mechanisms of development of cargo air transport in Ukraine on the basis of special economic zones of port type is offered.
BUILDING A FUZZY EXPERT SYSTEM FOR ASSESSING THE LEVEL OF SIGNIFICANT MARKET ADVANTAGE
Authors: Dubnitskyi Volodymyr , Miachyn Valentyn , Myroshnichenko Olexander
Published: August 2021

Identifying operators with significant market power as an element of state regulation in the field of telecommunications solves one of the key tasks for the national regulator – identifying business entities that may be subject to tariff regulation to limit monopoly power. Unlike existing methods, especially when a telecommunications operator operates simultaneously in several service markets, this method provides a comprehensive analysis of the state and degree of power of the operator – the share that a monopolist can simultaneously hold. The developed algorithm for comprehensive analysis of the telecommunications market of operators in the markets of telecommunications services forms an important component of analytical tools for collecting, processing and calculating at the level of the national regulatory body. The methodological basis of the study, consisted of scientific works of domestic and foreign scientists and leading specialists, statistical and analytical materials of state authorities. Fuzzy Inference is introduced for the integrated indicator construction. Two indicators are chosen as input variables. The first indicator CR is a level of concentration ratio. The second indicator HHI is a Herfindahl-Hirschman index. Output variable is defined as MC indicator which means a degree of market concentration. Both input variables and the output one are transformed to fuzziness through the construction of membership function. The function type and parameters are substantiated and “bell”-shaped membership function to describe uncertainty of the values falling under normal distribution is chosen. The quantity of fuzzy sets at every input is considered as z = 3 and the quantity of input variables is considered as ω = 2. To achieve completeness of the model, the quantity of logic rules is considered as r = 3² = 9. To calculate a degree of market concentration, Mamdani fuzzy conclusion is applied. Defuzzification is engaged to calculate value of the output variable which is MC ‒ indicator to mean a degree of market concentration and therefore readiness to implement the innovation strategy for enterprises active in innovation.