bluuebunny/crossref_metadata_2025 huggingface dataset:
ERKEN BİR KARNAVALESK ROMAN DENEMESİ: YENİŞEHİRDE BİR ÖĞLE VAKTİ
Authors: ÇETİN BAYCANLAR Sema
Published: April 2022

1960’lı yıllarda yazmaya başlayan Sevgi Soysal’ın edebi yaşamı boyunca farklı edebi türlerde verdiği anlatıların edebiyat dünyasında merak uyandıran aynı zamanda eleştirilen yönlerinden biri de içerik ve biçim açısından yeniliğe olan ilgisidir. Soysal’ın hikâye ile roman arasında sıkışıp kalmaktan ziyade iki edebi türün olanaklarını sınırsızca kullanmaya olan merakı ve cesareti dikkat çekicidir.

Yenişehir’de Bir Öğle Vakti romanı da yazıldığı yıllarda anlatım tutumu ve içeriğiyle çağdaşı romanlardan ayrılan bir eser olarak değerlendirilir. Soysal, eserinde aynı mekân içinde toplumun sosyo-ekonomik olarak farklı kesimlerini temsil eden, gelişigüzel bir kalabalığın içinden roman kişilerini seçer ve onları ana hikâyenin içine yerleştirmektense her birinin hikâyesini ayrı ayrı yazmayı tercih eder.

Mikhail Bakhtin, romanda karnavelesk unsurları besleyen ve gerçekleştiren unsurları geniş bir yelpaze içinde ele alır. Bakhtin’in değerlendirmelerinin ışığında grotesk gerçeklik, karnaval ruhu, diyalojik unsurlar gibi başlıklar, herhangi bir romanın karnavalesk romanla kurduğu ilişkiyi tanımlamakta ayrıt edici unsurlar taşır. Bu bağlamda Yenişehir’de Bir Öğle Vakti, karnaval ruhunu yansıtması, grotesk gerçekliğin bedene-canlılara ait söylemi ve diyalojik unsurlar açısından kısmen de olsa bu roman türünün özelliklerini taşır.

Bu çalışmada, Türk edebiyatında daha çok modernist ve postmodernist roman özelinde ele alınan karnavalesk unsurların erken bir örnek olarak Yenişehir’de Bir Öğle Vakti’nde değerlendirilmesini mümkün kılan unsurlar üzerinde durulacaktır.
A cross-lingual sentence pair interaction feature capture model based on pseudo-corpus and multilingual embedding
Authors: Liu Gang , Dong Yichao , Wang Kai , Yan Zhizheng
Published: April 2022

Recently, the emergence of the digital language division and the availability of cross-lingual benchmarks make researches of cross-lingual texts more popular. However, the performance of existing methods based on mapping relation are not good enough, because sometimes the structures of language spaces are not isomorphic. Besides, polysemy makes the extraction of interaction features hard. For cross-lingual word embedding, a model named Cross-lingual Word Embedding Space Based on Pseudo Corpus (CWE-PC) is proposed to obtain cross-lingual and multilingual word embedding. For cross-lingual sentence pair interaction feature capture, a Cross-language Feature Capture Based on Similarity Matrix (CFC-SM) model is built to extract cross-lingual interaction features. ELMo pretrained model and multiple layer convolution are used to alleviate polysemy and extract interaction features. These models are evaluated on multiple language pairs and results show that they outperform the state-of-the-art cross-lingual word embedding methods.
Analysis of the Clock-Reading Ability in Patients with Cognitive Impairment: Comparison of Analog Clocks and Digital Clocks
Authors: Shimosaka Momoyo , Nishimoto Hiroyuki , Kinoshita Ayae
Published: April 2022

Background: Time disorientation is one of the main symptoms observed in patients with dementia; however, their clock-reading ability has not been fully reported. Objective: This study aimed to investigate the clock-reading ability of both digital and analog clocks in patients with dementia. We newly devised the clock-reading test (CRT) and the number-reading test (NRT) to assess cognitive factors that may affect clock-reading ability. Furthermore, the discriminating power of the CRT was calculated. Methods: 104 participants were categorized based on their Mini-Mental State Examination (MMSE) scores as follows: subjective cognitive decline ∼ mild cognitive impairment (SCD∼MCI, N = 43), early Alzheimer’s disease (AD) (N = 26), and middle-to-late AD (N = 35). Their cognitive abilities were evaluated using the clock-drawing test (CDT), CRT, and NRT. Results: Cognitive decline leads to impairment of clock-reading ability which is more pronounced in the analog clocks than digital ones. This deficit in clock-reading is attributed to a loss of semantic memory regarding clocks at all stages. Additionally, visuospatial dysfunction and reduced ability of number recognition may lead to deficit in clock-reading in the advanced stage of AD. The discriminating power of the CRT (analog) (AUC = 0.853) was high enough to detect cognitive decline. Conclusion: Digital clocks are more readable by patients with dementia. Since reading clocks is closely associated with daily life, the CRT has proved to be a useful tool. A decline of analog clock-reading may be an early detector for the onset of dementia in elderly patients.
Cross-Sectional Association Between Blood Cell Phenotypes, Cognitive Function, and Brain Imaging Measures in the Community-Based Framingham Heart Study
Authors: Fang Yuan , Doyle Margaret F. , Alosco Michael L. , Mez Jesse , Satizabal Claudia L. , Qiu Wei Qiao , Lunetta Kathryn L. , Murabito Joanne M.
Published: April 2022

Background: Peripheral inflammation is associated with increased risk for dementia. Neutrophil to lymphocyte ratio (NLR), red cell distribution width (RDW), and mean platelet volume (MPV), are easily measured circulating blood cell phenotypes reflecting chronic peripheral inflammation, but their association with dementia status is unclear. Objective: We sought to investigate the cross-sectional association of these inflammatory measures with neuropsychological (NP) test performance, and brain magnetic resonance imaging (MRI) measures in the Framingham Heart Study (FHS) Offspring, Third-generation, and Omni cohorts. Methods: We identified FHS participants who attended an exam that included a complete blood cell count (CBC) and underwent NP testing (n = 3,396) or brain MRI (n = 2,770) within five years of blood draw. We investigated the association between NLR, RDW, and MPV and NP test performance and structural MRI-derived volumetric measurements using linear mixed effect models accounting for family relationships and adjusting for potential confounders. Results: Participants were on average 60 years old, 53% female, and about 80% attended some college. Higher NLR was significantly associated with poorer performance on visual memory, and visuospatial abilities, as well as with larger white matter hyperintensity volume. We also observed associations for higher RDW with poorer executive function and smaller total cerebral brain volume. Conclusion: Chronic peripheral inflammation as measured by NLR and RDW was associated with worse cognitive function, reduced brain volume, and greater microvascular disease in FHS participants. If confirmed in other samples, CBC may provide informative and cost-effective biomarkers of abnormal brain aging in the community.
Classification of vehicle types using fused deep convolutional neural networks
Authors: Qian Zichen , Zhao Chihang , Zhang Bailing , Lin Shengmei , Hua Liru , Li Hao , Ma Xiaogang , Ma Teng , Wang Xinliang
Published: April 2022

Classification of vehicle types using surveillance images is a challenging task in Intelligent Transportation Systems (ITS). In this paper, Convolutional Neural Networks for Vehicle types classification are comparatively studied. Firstly, GoogLeNet, ResNet50 and InceptionV4 are exploited as baselines for comparison. Secondly, we proposed a new network architecture based on GoogLeNet, ResNet50 and InceptionV4, named Fused Deep Convolutional Neural Networks (FDCNN), to take advantage of the ‘Inception’ module on parameter optimization and ‘Residual’ module on avoiding gradient vanishing, and applied the model to vehicle types classification. Thirdly, we created a vehicle dataset under the conditions of complicated and varied weather and lighting conditions, and conducted comparative experiments using the SEU vehicle dataset. Experimental results show much better performance of the proposed FDCNN with RMSprop optimizer on recognizing vehicle types. Specifically, the average classification accuracies of six vehicle types, such as truck, coach, sedan, minivan, pickup and SUV, are over 96.8%. Among the six classes of vehicle types, sedan is the most difficult to classify and the proposed FDCNN achieved over 93.81% accuracy in comparative experiments.
Timing of Clinical Interventions in Patients With Duchenne Muscular Dystrophy: A Systematic Review and Grading of Evidence
Authors: Landfeldt E. , Ferizović N. , Buesch K.
Published: April 2022

Background:

Clinical medical management guidelines of Duchenne muscular dystrophy (DMD) emphasize prevention and early identification and treatment.

Objective:

The objective of our study was to review, synthesize, and grade published evidence of the impact of the timing of clinical interventions in DMD.

Methods:

We searched PubMed, Embase, and the Cochrane Library for records published from inception up until November 19, 2021, reporting evidence of the impact of the timing of clinical interventions in DMD. We assessed the quality of evidence using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework.

Results:

We included 12 publications encompassing 1,623 patients with DMD from seven countries (Australia, France, Germany, Italy, Japan, the United Kingdom, and the United States of America). Six (50%) studies reported evidence of an impact of the timing of initiation of glucocorticoids on loss of ambulation, cardiomyopathy, fractures, forced vital capacity, and height and BMI; four (33%) of cardiac medication (i.e., angiotensin-converting enzyme inhibitors, β-blockers, and eplerenone) on left ventricular size and function and survival; one (8%) of lower limb surgery on motor quotient and loss of ambulation; and one (8%) of ataluren on lower extremity and motor function. The overall quality of the body of evidence was low.

Conclusion:

While there is a clinical rationale for anticipatory diagnostic and therapeutic strategies, evidence of the impact of the timing of initiation of treatments in patients with DMD is still emerging. Further research of this topic is warranted to inform treatment guidelines in this indication.
Multilayer perceptron models for the estimation of the attained level of education in the Italian Permanent Census
Authors: De Fausti Fabrizio , Di Zio Marco , Filippini Romina , Toti Simona , Zardetto Diego
Published: April 2022

In the Italian Permanent Census, estimates of the attained level of education are derived by the integration of administrative data, 2011 census data, and sample survey data. The result of the integration procedure is the prediction of the attained level of education (ALE) for each single resident. Due to the complexity and heterogeneity of the available information, traditional statistical methods require the construction of different imputation models for different subpopulations, with a considerable effort in terms of human intervention. We study the use of a multilayer perceptron (MLP) model to make the process more automatic, i.e., less costly in terms of human resources, and possibly more accurate in terms of estimates. The MLP model is applied to Istat data referred to an Italian administrative region (Lombardia) in 2018, and the results are compared with those obtained using the official procedure. The study shows that the MLP approach is indeed less demanding in terms of human work needed for data preparation and modeling, yet it leads to estimates characterized by the same level of accuracy as the ones provided by the official procedure.
Alternative methods for disaggregating Sustainable Development Goal indicators using survey data
Authors: Falorsi Piero Demetrio , Donmez Ayca , Khalil Clara Aida , Di Candia Stefano , Gennari Pietro
Published: April 2022

Samples used in most surveys are either not large enough to guarantee reliable direct estimates for all relevant sub-populations, or do not cover all possible disaggregation domains. After having described a holistic strategy for producing disaggregated estimates of Sustainable Development Goal (SDG) indicators, this paper discusses alternative sampling and estimation methods that can be applied when sample surveys are the primary data source. In particular, the paper focuses on strategies that can be implemented at different stages of the statistical production process. At the design stage, the paper describes a series of sampling approaches that ensure a “sufficient” sampling size for each disaggregation domain. In this context, the article highlights the main limitations of traditional sampling approaches and shows how ad-hoc techniques could overcome some of their key constraints. At the analysis stage, it discusses an indirect model-assisted estimation approach to integrate data from independent surveys and censuses, eliminating costs deriving from redesigning data collection instruments, and ensuring a greater accuracy of the final disaggregated estimates. A case study applying the abovementioned method on the production of disaggregated estimates of SDG Indicator 2.1.2 (Prevalence of Moderate and Severe Food Insecurity) is then presented along with its main results.
Forecasting the number of intensive care beds occupied by COVID-19 patients through the use of Recurrent Neural Networks, mobility habits and epidemic spread data
Authors: Valente Emiliano , Roiati Martina , Pugliese Francesco
Published: April 2022

Since 2019, the diffusion of COVID-19 all over the world has caused more than five millions deaths and the biggest economic disaster of last decades. A better prediction of the Intensive Care beds (ICUs) burden due to COVID-19 may optimize the public spending and beds occupancy, in the future. This can enable Public Institutions to apply control policies and a better regularization of regional mobility. In this work, we address the challenge of producing fully automated covid spread forecasting via Deep Learning algorithms. We developed our system by means of LSTM and Bidirectional LSTM models and new model regularization achievements such as “Inference Dropout”. Results highlight “state-of-art” accuracy in terms of ICUs prediction. We definitely believe that this breakthrough can become a valuable tool for policy makers in order to face with the problem of COVID-19 effects in the near future.
Assessment of the spread of COVID-19 in seven countries using a seasonal adjustment method
Authors: Arita Tetsuma
Published: April 2022

Early identification of the trends in the number of newly confirmed COVID-19 cases is essential. Weekly periodicity and irregular fluctuations affect the time series of the number of newly confirmed COVID-19 cases. However, a 7-day moving average and a rolling 7-day total delay identifying the trend changes because of assigning a low weight to the most recent day. Additionally, they cannot adjust for the fluctuations due to moving holidays. For the first time, this study shows that X-13ARIMA-SEATS (X-13), one of the seasonal adjustment methods, can apply to the analysis of the changes in the number of newly confirmed COVID-19 cases with examples of seven countries: Germany, Indonesia, Iran, Russia, the United Kingdom, the United States, and Japan. This study successfully extracts trend components, calendar-induced components (weekly periodicity and fluctuations due to moving holidays), and irregular components from the time series of seven countries by X-13. Thus, compared to a 7-day moving average and a rolling 7-day total, the method in this study can facilitate more rapid and accurate assessment and strategic responses to the spread of COVID-19. Furthermore, the method could be effective for analyzing other daily data with weekly periodicity.
Bithiophene derivative induced apoptosis and suppression of Akt pathway in mouse leukemic model
Authors: Algharib Ali Samy , Shanab Gamila Mohamed-Labib , Abdel-Ghaffar Abdel-Rahman Badr , Ismail Mohamed Ahmed , Mohamed Rania Hassan
Published: April 2022

BACKGROUND:

Bithiophene derivatives show a promising anti-cancer potential. We previously showed that Bithienyl Fluorobenzamidine (BFB) has an anti-proliferative effect against several leukemia cell lines. Acute myeloid leukemia (AML) accounts for 18% of the total leukemia cases worldwide with heavier burden during the past 30 years. Therefore, the main aim remains the discovery of safe and effective medications.

OBJECTIVE:

The current research aims to investigate the anti-cancer efficacy of BFB and its effect on the apoptosis in the 7,12-Dimethylbenz[a]anthracene (DMBA) induced AML in mice.

METHODS:

AML was induced in mice by DMBA and then treated by 2 different doses of BFB. After BFB treatment, the hematological and histological pattern changes was examined. Furthermore, the molecular effect of BFB on apoptosis, cell cycle markers and Protein kinase B (Akt) pathway was examined using qPCR, Western blotting and ELISA.

RESULTS:

BFB treatment ameliorates leukemia histological and hematological markers significantly, despite non-significant changes in normal mice. This improvement exhibits cell cycle arrest and apoptosis induction, represented by elevation of tp53/p53, p21/p21, Caspase3 and downregulation of ckk1/Cdk1 in the bone marrow, as well as Akt pathway suppression.

CONCLUSIONS:

Our results establishes BFB as a promising therapeutic candidate against AML through cell cycle arrest, apoptosis induction and Akt pathway modulation.
Prevention of work-related musculoskeletal disorders among dental professionals: A scoping review
Authors: Wu Jean , McCullough Michael , Panisset Maya G. , Galea Mary P.
Published: April 2022

BACKGROUND: Musculoskeletal disorders (MSDs) are highly prevalent among dental professionals. Studies examining the prevention of dental work-related MSDs have been completed globally. OBJECTIVE: To identify and evaluate the available evidence regarding MSD prevention in dental practice, and to identify knowledge gaps. METHODS: An electronic search was conducted across multiple scientific databases. Identified articles were assessed according to inclusion/exclusion criteria. Systematic reviews, interventions and published expert opinion were included. RESULTS: Five systematic reviews, 27 intervention studies and 21 expert opinion articles were included. There was overall consensus that use of ergonomic equipment is beneficial in MSD prevention. Knowledge gaps identified included: a lack of systematic reviews on the role of exercise and therapy in MSD prevention; a lack of high-quality intervention studies; a lack of research in general outside of ergonomic equipment use. Expert opinion articles have been published despite a lack of dental-specific research. CONCLUSIONS: Whilst more robust research is required, current evidence supports the use of optical enhancement, saddle chairs, and wide-diameter silicone-handled instruments in MSD prevention. Knowledge gaps were identified relating to the use of exercise, therapy, and education in the prevention of dental work-related MSDs. Further research is required, specifically high-quality intervention studies.
Experiences of people with multiple sclerosis at work: Towards the understanding of the needs for a job retention vocational rehabilitation intervention
Authors: De Dios Pérez Blanca , Radford Kate , das Nair Roshan
Published: April 2022

BACKGROUND: Supporting people with multiple sclerosis (MS) at work can be challenging due to the unpredictable nature and myriad of disease-related symptoms, and issues related to the work environment. OBJECTIVE: To explore, amongst people with MS in employment, their experiences of and need for vocational rehabilitation (VR), and perceived barriers and facilitators to implementing VR. METHODS: We conducted 20 semi-structured interviews with people with MS, employers, and healthcare professionals. Interviews were audio-recorded, transcribed, and analysed using the framework method. RESULTS: We identified nine themes reflecting the main MS symptoms (e.g. cognition, fatigue), and environmental factors such as support provided at work (e.g. change of working hours) and workplace characteristics. Providing support tailored to the individual’s needs and early intervention were seen as important attributes for the intervention. The barriers identified referred to lack of resources and confidentiality issues; however, having flexibility in the content and delivery of the intervention were seen as facilitators. CONCLUSION: The impact of environmental factors (e.g. attitudes towards disability) on employment difficulties is equal to or greater than disease-related factors. Environmental changes in the attitudes of co-workers and workplace flexibility can enable people with MS to remain in work for longer.
Effect of anthropometric and demographic factors on musculoskeletal disorders in nurses’ aides
Authors: Laal Fereydoon , Mohammadian Farough , Khoshakhlagh Amirhossein , Madvari Rohollah Fallah , Dehghan Somayeh Farhang , Pordanjani Sajjad Rahimi
Published: April 2022

BACKGROUND: Nurses’ aides usually face various stressors, making them prone to musculoskeletal disorders (MSDs). OBJECTIVE: This study evaluates the effect of ergonomic and anthropometric indices, postural risk, and demographic variables on MSDs in nurses’ aides. METHODS: Demographic variables, anthropometric dimensions, postural risk level (RL), and related percentiles of 75 nurses’ aides were examined using Quick Exposure Check (QEC) software, caliper, and body map questionnaire. Pearson correlation coefficient, univariate and multivariate tests were used to analyze the data. RESULTS: The results showed that the RL of QEC in both groups of males and females was 73.67±22.34 (RL = 4) and 65.34±18.38 (RL = 3), respectively. The level of MSDs in the lumbar, thigh, and leg areas was higher than in other areas. Also, increasing age and work experience, and BMI were significantly associated with increasing disorders in the hands, wrists, and shoulders, respectively (P < 0.05). The results showed that an increase in some anthropometric indices such as body height, buttock, knee, popliteal height, abdomen depth, standing grip access limit, sitting grip access limit increased disorders in the hands and wrists. Also, MSDs were predicted in different areas of the nurses’ aides’ bodies using regression models, which was significant in the hands, wrists, elbows, legs, and shoulders (P < 0.05). CONCLUSIONS: The results showed that there was a significant difference between male and female nurses in most aspects of anthropometry and the risk level of QEC. Therefore, it is necessary to pay attention to anthropometric dimensions, and demographic diversity to design tools and workstations.
Investigation of the effect of social support perceived by workplace employees on anxiety and job satisfaction during COVID-191
Authors: Göktaş Ayşe , Özdinç Sevgi
Published: April 2022

BACKGROUND: The COVID-19 pandemic has become a major cause of stress and anxiety at work. OBJECTIVE: To examine the effects of the support provided to the employees by the workplaces about the depression, anxiety, stress, job satisfaction of the employees during the COVID-19. METHOD: The inclusion criterias were as follows: being between 18 and 65 years old, working at the time of the survey. The study self-administered included Depression-Anxiety-Stress Scale (DASS), Organizational Support Perception Scale, Job Satisfaction Scale (JSS). RESULTS: In total, 260 people (mean age 38.17±14.9 years, 148 female) completed the survey. Extremely severe depression displayed on 39.9 %, extremely severe anxiety on 37.1%, and severe stress on 28.3% of the participants. Scores for depression (9.6±9.03), anxiety (7.2±7.04), stress (11.7±7.8) were also high for employees. It was observed that the average of organizational support score was 30.4±7.24, and the average job satisfaction score was 28.6±5.35. There was a statistically significant positive correlation between organizational support and job satisfaction (r = 0.562, p = 0.00). Considering the relationship between organizational support and DASS scale; there was negative correlation between (r =-0.161, p = 0.013). The results of the regression indicated that the model explained 32.9 % of the variance and that the model was a significant predictor, F (2,66)=117.145, p < 0.001. CONCLUSION: Organizational support are associated with a decline in mental health and job satisfaction. Health-promotion strategies directed at adopting or maintaining positive job organizational support-related behaviors should be utilized to address increases in psychological distress during the pandemic.
A Statistical Perspective on Advancement in Blockchain Technology
Authors: Goyal Krishan Kumar , Kumar Sanjeev
Published: April 2022

In computing, Blockchain is a decentralised, point-to-point program that provides a safe yet verifiable technique for secure distributed validation. Blockchain is a type of distributed transaction validation system. It is widely used in a variety of fields, including the finance sector, the Internet - Of - things, big data, virtualization, and edge computing, to name a few. Artificial intelligence technology, on the other hand, is having a substantial impact on the intellectual growth of a wide range of industries. Blockchain is a difficult technology that represents the important and influential vision and provide a comprehensive perspective to internet security. Blockchain is a hard technologies that represent an inventive and influential vision. When it comes to secure communication, Blockchain technology is always evolving and has the opportunity to deliver about substantial changes in how we work and live in the 21st century. Blockchain technology is continually evolving and become the next paradigms shifting technology. Our new problem is to figure out how we will keep up with the technological developments brought about by this revolutionary technology. A general overview of Blockchain technology, as well as its possibility to assist to future development, is presented in this article, which also proposes many study avenues for further investigation.
I am a Muslim and Asian Woman in the United Kingdom
Authors: Pazil Nur Hafeeza Ahmad
Published: April 2022

Utilizing an autoethnographic stance and method, this article is based on my experiences as a Malaysian postgraduate student in the United Kingdom. I draw upon my memories of dealing with Islamophobia and xenophobia while living there, as a Muslim and Asian woman. Anti-Asian sentiment and xenophobia can be experienced in many forms, ranging from feelings of discomfort to verbal insults and direct confrontation. As a visible Muslim and Asian woman, I reflect upon my own experience as a victim of verbal abuse on different occasions. This article offers an intersectional perspective taking into account interconnected and overlapping factors, such as gender, ethnicity and religion, to examine the multi-layered issues and challenges as an international student.  I highlight the challenges in expressing and negotiating my intersectional identities while living temporarily abroad. Therefore, this article is very important to raise awareness about Islamophobia as well as inadvertent or deliberate xenophobia towards Asian communities.
Optimizing the Material-Product Transformation Processes in the Clothing Manufacturing Line
Authors: KÜÇÜK Mehmet , İŞLER Meral , GÜNER Mücella
Published: April 2022

In current economic conditions, one of the major problems in the textile and apparel industry is unable to determine the unnecessary movements of resources (operators, machines, materials). Especially during the production processes, to adjust and decrease the movements of the resources are more difficult, because the focus is mostly on the workers and materials. “Method Study” has developed for resolving these challenges. The string diagram which is one of the techniques of the method study, helps to provide minimum movements of the resources during manufacturing activities. In this study, the production activities of a clothing company were examined with the help of the string diagram to achieve the objectives of eliminating unnecessary movements of the resources, increasing the working speed, providing better working conditions, balancing the production lines. So in the study, the current status of the production system and the parts to be improved were determined. In this direction, the string diagram and line balancing methods were applied for improvements and generation of a new layout plan. As a result of the research, the journal distance of the pieces before sewing together for obtaining the end product was shortened by 39% and the number of operators working in the line was reduced from 32 to 26.
ANALYSIS OF INFORMATION SUPPORT FOR EXCHANGE COMMODITIES PRICING MANAGEMENT
Authors:   State Biotechnological University, Kustov Vitaliy
Published: April 2022

The article considers the main modern scientific approaches to the definition of the concept «information support» and «management information support» and formulates their essential characteristics. The relevance of the process of dissemination of information on the pricing of exchange commodities has been proved. It has been stated, that a modern, developed commodity exchange is the center of pricing. The structure of the categorical apparatus of information support of pricing management of exchange commodities has been presented. It has been established that the domestic exchange market lacks a common classification of commodities. The general classification of exchange commodities has been systematized and improved. The dynamics of the number of functioning commodity exchanges in Ukraine and prices for wheat, fodder, wheat 11,5% (3rd class), corn, white crystals, soybeans, rapeseed, barley in the domestic market (EXW) have been analyzed.
ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ТОВАРНОЇ ПОЛІТИКИ ТА РОЗВИТОК МАЛОГО БІЗНЕСУ
Authors:   Higher Educational Institution ", Kholod Serhii ,   Alfred Nobel University", Tatarinov Vadym ,   Higher Educational Institution "Alfred Nobel University", Tatarinov Vadym ,   Higher Educational Institution "Alfred Nobel University"
Published: April 2022

The article considers the essence and types of product policy and the problems of its implementation in small business. Recommendations are given for taking measures aimed at improving the effectiveness of product policy and small business development in Ukraine. In our opinion, in order to ensure a stable growth of the number of small enterprises and their impact on the state of the economy by improving the efficiency of small business policy, we believe it is necessary to create a single Center for Small Business Development with an extensive network of branches spread across the country. (at the first stage in cities with a population of over 100 thousand people). This system should have all the powers to organize and support small businesses and provide the necessary resources. It should be responsible for the state and development of this important sector of the economy. Moreover, if each local branch should be responsible for the state and development of small business in the territory assigned to it, then the Unified Center should be responsible for the state of affairs in small business throughout the country. The task of the Single Center for Small Business is to support and strengthen the country's economy by providing conditions for the creation, viability and sustainable development of small businesses and assistance in their economic recovery due to emergencies. In the process of further development of small business in Ukraine, state support for these processes is a must. This will lead to the stability, influence and efficiency of this important sector of the economy in the future. Without state support, it is difficult to pursue a targeted product policy in small and medium-sized enterprises. Information, advisory, financial state support of small enterprises is needed at almost all stages of the product life cycle.
ESTIMATION OF ECONOMIC EFFICIENCY FROM THE IMPLEMENTATION OF MARKETING TESTING MECHANISM OF MARKET PROSPECTS OF PRODUCT INNOVATIONS ON THE INDUSTRIAL ENTERPRISE
Authors:   Sumy State Pedagogical University named after A.S. Makarenko, Nagornyi Yeugene , Berezova Svitlana ,   Sumy State Pedagogical University named after A.S. Makarenko
Published: April 2022

The market success of commercialized product innovations depends on a wide range of factors: starting from how the development process was performed in the enterprise and ending with the implemented approach to an objective assessment of their commercial prospects (both during development and before they launched on the market).Assessment of market prospects for product innovations can be carried out by various methods and tools, including through the procedure of marketing testing, which in turn requires allocating a set resources of the enterprise (human, monetary, time, etc.). Sometimes significant resource costs call into question the feasibility of the procedure of assessing the market prospects of product innovations, i.e. determining its economic efficiency. The research results demonstrate that the choice of market-successful product innovation through the procedure of marketing testing is not yet a sign of profitability in general for the company. Since a large profit from the commercialization of successful product innovation may not be enough to cover all the costs of the procedure of the marketing testing, which is why the company can receive significant losses, even when a successful product innovation was introduced on the market. This is what determines the relevance of determining the economic efficiency of the implementation of the procedure of marketing testing of market prospects of the developed product innovations. The article describes the methodology to estimate the economic efficiency of the introduction of the marketing testing mechanism of market prospects of product innovations in the industrial enterprises. The assessment of economic efficiency was carried out by comparing the profits (losses) from the commercialization of product innovations without the use and using the testing procedure, taking into account the costs of its implementation. The results proved to be cost-effective for both product innovations that were predicted to succeed, leading to additional profits, and for product innovations that failed in the market, leading to a reduction in losses, even taking into account the cost of the testing procedure itself. In general, it is proved that the introduction of marketing testing at the stages of the innovative lifecycle provides a fundamental opportunity for the innovator to make a grounded decision about the readiness of its product innovations for commercialization by assessing their market prospects. Performed analysis is considered as a future basis for implementation of marketing testing mechanism of market prospects of product innovations in practical activity of domestic innovatively active industrial enterprises.
INNOVATIVE APPROACHES TO MOTIVATE THE PERSONNEL OF AGRICULTURAL ENTERPRISES IN THE CONTEXT OF DIGITALIZATION
Authors:   Sumy National Agrarian University, Tereshchenko Svitlana , Viunenko Alexander ,   Sumy National Agrarian University
Published: April 2022

The article considers modern innovative approaches that are used by agricultural enterprises to motivate staff in modern business conditions. Most farmers understand the benefits of using digital technologies in agriculture. According to representative polls conducted by the Bitkom industry association in Berlin, almost 90 percent of all agricultural enterprises link digitization to more efficient use of resources. More than half of the companies surveyed already use digital applications, especially smart agricultural machinery and farm management software. The potential of the global market for digital products and business models is huge. The trend towards high-tech systems is growing rapidly. The main prerequisite for the transition to high-tech systems is the expansion of broadband, as well as Internet access. Digital applications and platforms can significantly change the way knowledge is processed, transmitted, accessed, and used. For farmers, digital programs provide decision-making opportunities that were previously impossible, which could potentially lead to drastic changes in personnel management. As the number of smart machines and sensor networks in enterprises grows, as data continues to grow, industrial relations become increasingly data-driven, raising critical questions about how digital agriculture will need new professionals, support decision-making, and interact with potential regimes, knowledge processing and potentially violate them. This has significant implications for the entire staff knowledge system, including the roles and capabilities of those who provide consulting services to farmers, as well as those responsible for data analysis, and the organizations and institutions that link and support their work. The realities of digitalization are such that in order to maintain their competitiveness in the labor market, a person must constantly learn, develop in various ways and acquire new skills. In the digital economy, competitive advantage will be given to those who are able to change quickly and adapt to dynamic living conditions and are able to think creatively and on a large scale. But in any case, the organization of the system of remuneration of personnel should be based on the predicted style of management, which involves the creation of flexible structures.
INSTRUMENTAL SUPPORT OF MACROECONOMIC ACCOUNTING
Authors:   Shostka, Institute of Sumy State University, Varenik Irina , Novikova Inna ,   Shostka, Institute of Sumy State University, Manuilovich Yurii ,   Shostka, Institute of Sumy State University
Published: April 2022

The article considers the instrumental support of macroeconomic accounting in Ukraine. The concept of macroeconomic accounting or national accounting and its main components are specified. The methods of instrumental support of the accounting process of macroeconomic operations are investigated and their meaningful analysis is carried out. Also, the processes of formation and development of the system of national accounts in Ukraine are considered and the importance of focusing on existing problems and shortcomings in compiling national accounts that need to be addressed, as well as outlining ways to overcome them. The article proposes the application of the methodology of integrated economic information from the level of initial accounting to the macroeconomic level of accounting. In the system of national accounts, which is widely used by industrialized countries, the economy is considered as a whole, without a fundamental difference between material production and services. Reflecting the main economic relationships, the system provides an overall assessment of the proportions and performance of the national economy of material, from a financial standpoint for all institutional units at all levels of the economic mechanism. In our country, the widespread introduction of the SNA into the economic sphere of the economic mechanism is hampered by the limited number of specialists who have this complex subject, both theoretically and practically. Information support and statistical description of the most significant ratios and results of economic activity his section will highlight the basic principles of SNA in Ukraine to describe and analyze the economic process at the macro level, propose new measures to improve national accounting based on existing problems of its information support in matters of preparation and use of budgets of international organizations. The principles of application of various tools of accounting of economic information at the analysis of macroeconomic indicators are specified and the basic principles of application of SNA in Ukraine for the description and the analysis of economic process at a macro level are covered.
IDENTIFICATION OF STRUCTURAL AND INDUSTRIAL FEATURES OF FORMATION OF FINANCIAL AND ECONOMIC RESULTS OF AGRICULTURAL ACTIVITIES
Authors:   Lviv National Agrarian University, Lyzak Mykhailo
Published: April 2022

The article examines the theoretical aspects of the formation of financial and economic results of agricultural enterprises. It is established that financial and economic results play a strategically important role in the process of forming the final results of production and economic activity of agricultural enterprises. The financial and economic results of agricultural enterprises should be understood as the final results of the enterprise, which characterize the parameters of the effectiveness of its strategic business processes and are formalized in the targets for a specific period of time. It is revealed that financial and economic results of activity are a direct resource basis of increase of parameters of efficiency of managing of the enterprise in a cut of all basic structural components of its functioning. It is established that the financial and economic results of agricultural enterprises are formed as the final characteristics of management in terms of all basic areas of their operation (innovation and investment, production, sales, financial, service, etc.). In the course of the research the following structural and branch features of formation of financial and economic results of activity of the agricultural enterprises are identified: excessive dependence on natural and climatic conditions; use of land resources as the main means of organizing production and economic processes; the impact of seasonality of production on the rate of inflow of financial and economic resources to the enterprise; the need for adequate logistics; correct logistical support of tangible and intangible flows management; the dependence of the formation of financial and economic results of agricultural enterprises on the level of state support for the agricultural sector of the economy; formation of an appropriate level of social responsibility of agricultural enterprises, which is an important social component of rural development; organization of observance of rational scientifically substantiated principles of nature use in the process of management and execution of monetary expenses for implementation of nature protection measures.
ANALYSIS OF INSTITUTIONAL SUPPORT OF STRUCTURAL TRANSFORMATION OF UKRAINE’S ECONOMY
Authors:   University of the State Fiscal Service of Ukraine, Sokolova Olga
Published: April 2022

In the article is analyzed the institutional support for the structural transformation of Ukraine’s economy. State regulatory influence is aimed at the general regulation of social relations in a particular area, respectively, socio-economic development. Structural transformations are directly the object of institutional managerial influence through the state’s use of appropriate institutional support. Public management of economic processes takes place under the influence of formal and informal institutions, which are understood as rules, and institutions ensure compliance with these rules. Within the framework of this study, the main emphasis is placed on the management of structural transformations of the Ukrainian economy; the attention is focused on formal institutions, the main program documents for the last ten years. In the analysis of the main program documents, two periods 2010–2014 and 2015–2020 are identified; their content and features are outlined. Based on the analysis, it was concluded that the first period was characterized by low institutional capacity of transformation processes; the second is a large number of reforms. Ensuring effective management involves monitoring and control of the implementation of tasks. It is noted that the selected indicators are quite general and do not fully comply with the principle of realistic achievement and validity. The set goals were never achieved or insignificant results were achieved. Many of the goals repeat the goals that were not achieved in the implementation of previous program documents.Developed institutional support reduces the uncertainty of structural reforms. It is proved that the system of institutional support of structural restructuring of the economy of Ukraine, the vector of its development is aimed at the approval of the innovation model, the inadmissibility of the termination of structural reforms. It is substantiated that the reason for the low effectiveness of the declared goals and targets is inconsistency, weak interaction of state institutions, violation of the principle of continuity, provision of institutional memory.
FORMATION OF COMPETITIVE ADVANTAGES OF SERVICE COMPANIES IN THE CONDITIONS OF DIGITALIZATION
Authors:   Taras Shevchenko National University of Kyiv, Prygara Olga , Yarosh-Dmytrenko Liudmyla ,   Taras Shevchenko National University of Kyiv
Published: April 2022

In today's market conditions, digitalization as a global trend of doing business is becoming a tool to increase the competitiveness of the enterprise through the formation of sustainable competitive advantages. The article identifies the directions of competitive advantages formation of the service companies in terms of digitalization, which are related to the specifics of the service such as intangibility, variability of quality, continuity of the process of purchase and consumption, inability to save. These features of services determine the specifics of all marketing activities of enterprises, including areas of competitive advantage. The need for the consumer’s presence while getting service and the simultaneous process of providing and consuming services pose great problems for service companies to do business during the pandemic. The analysis of the existing problems of competitive advantages formation by service companies in the conditions of distribution of pandemic COVID-19 is provided. Crisis forces service companies to change its activity or to find new directions of formation of competitive advantages. The use of innovative digital marketing tools allows for "remote" communication with the consumer and becomes the only possible method of doing business in the services market at the beginning of the pandemic and during severe lockdowns. The relationship between the formation of competitive advantages and the introduction of innovative marketing tools in the field of services is considered. The directions of competitive advantages formation in the field of services are offered to be focused on features of services and application of digital tools of communication with the consumer (online consultations, chat bots, e-mail, text messaging, creating mobile applications); development of Internet trade; application of innovations in service, new delivery technologies; expanding the scope of services; the possibility of dynamic change of the position of the service, its individualization or standardization depending on the needs of the client, as well as changing the structure of services and expanding the scope of services.