bluuebunny/crossref_metadata_2025 huggingface dataset:
Ubiquitination and degradation of MGMT by TRIM72 increases the sensitivity of uveal melanoma cells to Dacarbazine treatment
Authors: Li Xun , Yang Cong , Luo Ning , Yang Yunzhi , Guo Yan , Chen Ping , Cun Biyun
Published: December 2021

Uveal melanoma (UM) is the most common primary intraocular malignancy in adults with high metastasis rates. The O6-methylguanine DNA methyl transferase (MGMT) is involved in chemoresistance of Dacarbazine (DTIC) treatment. Our previous study found that the combination of oncolytic adenovirus H101 and DTIC in the treatment of UM cells shows a synergistic antitumor effect mainly though down-regulation of MGMT. MGMT knockdown by shRNAs increases the sensitivity of uveal melanoma cells to DTIC treatment. The protein hemostasis of MGMT is important for the antitumor effect of DTIC. Tripartite motif-containing protein 72 (TRIM72) belongs to the tripartite motif (TRIM) proteins family and was identified as a novel E3 ligase for MGMT, which interacts with and mediates the ubiquitination of MGMT. TRIM72 knockdown increases the protein levels of MGMT, while reduces the ubiquitination of MGMT. Further study indicated that MGMT is highly expressed in UM cells, and the protein levels of MGMT and TRIM72 shows a negative correlation. UM cells that ectopically expressing TRIM72 shows increased sensitivity to DTIC treatment, which is consistent with the antitumor affect exhibited by H101. These results suggest that TRIM72 is a promising therapeutic target for UM treatment.
The association between albumin-globulin ratio (AGR) and survival in patients treated with immune checkpoint inhibitors
Authors: Guven Deniz Can , Aktepe Oktay Halit , Aksun Melek Seren , Sahin Taha Koray , Kavgaci Gozde , Ucgul Enes , Cakir Ibrahim Yahya , Yildirim Hasan Cagri , Guner Gurkan , Akin Serkan , Kertmen Neyran , Dizdar Omer , Aksoy Sercan , Erman Mustafa , Yalcin Suayib , Kilickap Saadettin
Published: December 2021

BACKGROUND: The albumin-globulin ratio (AGR) could be a prognostic biomarker in patients with cancer, although the data is limited in patients treated with immune-checkpoint inhibitors (ICIs). OBJECTIVES: We aimed to evaluate the association between AGR and survival in ICI-treated patients. METHODS: The data of 212 advanced-stage patients were retrospectively evaluated in this cohort study. The association between AGR with overall (OS) and progression-free survival (PFS) were evaluated with multivariate analyses. Additionally, receptor operating curve (ROC) analysis was conducted to assess the AGR’s predictive power in the very early progression (progression within two months) and long-term benefit (more than twelve months survival). RESULTS: The median AGR was calculated as 1.21, and patients were classified into AGR-low and high subgroups according to the median. In the multivariate analyses, patients with lower AGR (< 1.21) had decreased OS (HR: 1.530, 95% CI: 1.100–2.127, p= 0.011) and PFS (HR: 1.390, 95% CI: 1.020–1.895, p= 0.037). The area under curve of AGR to detect early progression and long-term benefit were 0.654 (95% CI: 0.562–0.747, p= 0.001) and 0.671 (95% CI: 0.598–0.744, p< 0.001), respectively. CONCLUSIONS: In our experience, survival with ICIs was impaired in patients with lower AGR. Additionally, the AGR values could detect the very early progression and long-term benefit ICIs.
Subnormothermic isolated organ perfusion with Nicorandil increased cold ischemic tolerance of liver in experimental model
Authors: Erlitz Luca , Ibitamuno Caleb , Kasza Benedek , Telek Vivien , Hardi Péter , Sétáló György , Vecsernyés Mónika , Takács Ildikó , Jancsó Gábor
Published: December 2021

BACKGROUND: The cold ischemia –reperfusion injury may lead to microcirculatory disturbances, hepatocellular swelling, inflammation, and organ dysfunction. Nicorandil is an anti-ischemic, ATP-sensitive potassium (KATP) channel opener drug and has proved its effectiveness against hepatic Ischemia/Reperfusion (I/R) injury. OBJECTIVE: This study aimed to investigate the effect of Nicorandil on mitochondrial apoptosis, oxidative stress, inflammation, histopathological changes, and cold ischemic tolerance of the liver in an ex vivo experimental isolated-organ-perfusion model. METHODS: We used an ex vivo isolated rat liver perfusion system for this study. The grafts were retrieved from male Wistar rats (n = 5 in each), preserved in cold storage (CS) for 2 or 4 hours (group 1, 2), or perfused for 2 or 4 hours (group 3, 4) immediately after removal with Krebs Henseleit Buffer (KHB) solution or Nicorandil containing KHB solution under subnormothermic (22–25°C) conditions (group 5, 6). After 15 minutes incubation at room temperature, the livers were reperfused with acellular, oxygenated solution under normothermic condition for 60 minutes. RESULTS: In the Nicorandil perfused groups, significantly decreased liver enzymes, GLDH, TNF-alpha, and IL-1ß were measured from the perfusate. Antioxidant enzymactivity was higher in the perfused groups. Histopathological examination showed ameliorated tissue deterioration, preserved parenchymal structure, decreased apoptosis, and increased Bcl-2 activity in the Nicorandil perfused groups. CONCLUSIONS: Perfusion with Nicorandil containing KHB solution may increase cold ischemic tolerance of the liver via mitochondrial protection which can be a potential therapeutic target to improve graft survival during transplantation.
Prototyping narrative representation system using a Kabuki dance and legendary story for the narration function of robots
Authors: Kawai Miku , Ono Jumpei , Ogata Takashi
Published: December 2021

This study focuses on two stories, Kyōganoko Musume Dōjōji and the legend of Dōjōji, which are deeply related to topics of love and sexuality. Kyōganoko Musume Dōjōji is a kabuki dance work that is an after-story of the legend of Dōjōji, but the performance comprises mainly dance; thus, the story is expressed only symbolically. Therefore, we attempt to develop a prototype system that associates the story of the legend of Dōjōji with the story of Kyōganoko Musume Dōjōji. Specifically, we focus on the positive and negative characteristics observed in the heroine, Shirabyoshi Hanako or Kiyohime and use them to associate the two stories. The proposed system aims to superimpose multiple stories based on a specific aspect of Kyōganoko Musume Dōjōji, the heroine’s “mind,” “action,” and “lyrics” sung or narrated on the stage.
Establishment of optimal culture media in corneal epithelial wound healing models
Authors: Dare Emma V. , Fung Chung Ki , McCanna David J. , Subbaraman Lakshman N. , Jones Lyndon W.
Published: December 2021

BACKGROUND: Wound healing needs to occur after injury to prevent vision loss. Models of wound healing need to be optimized to assure treatments for corneal wounds can be developed in vitro prior to investigating with in vivo studies. OBJECTIVE: The purpose of this study was to establish the optimum media to use as a control solution in wound healing models. METHODS: Immortalized human corneal epithelial cells were cultured in different growth media using a scratch and exclusion zone model. The effect of normoxic and hypoxic conditions on tight junctional integrity and metabolic activity of cells grown in different growth medium were also investigated. RESULTS: Wound healing with DMEMF12 media was significantly faster than both Keratinocyte serum-free media (p < 0.05) and EpiLife (p < 0.05) after 10 hours recovery under normoxic or hypoxic conditions using the scratch model and 9 days after wounding using the exclusion zone technique (p < 0.05). Using the culture media DMEMF12, cells stained for abundant ZO-1, Cx43 and had a high metabolic activity indicating significant epithelial barrier formation, gap junction formation and high cell viability. CONCLUSIONS: DMEMF12 led to superior wound healing under hypoxic and normoxic conditions and in two different wound healing models.
Determinants of Perception and Impact of Climate Change Induced Events on Livelihood of People in the Haor Area of Kishoreganj, Bangladesh
Authors: Baten Md. Azizul , Hossain Md. Kabir
Published: December 2021

Bangladesh is prone to the danger of different natural calamities and is going to be most affected due to climate change-induced events in the upcoming decades. This study attempted to assess the farmers’ awareness, perception and the impact of climate change on the livelihood of people living in the Haor area of Kishoregang, Bangladesh. A total of 230 respondents were interviewed in the study area (Khatkhal union) using the cluster sampling technique. Only 52.2% of farmers are found to be aware of climate change, 61.7% unaware and 47.8% did not know the consequences of rapid climate change. Climate change and the unavailability of flood control embankments are considered as the main reasons for flash floods. Due to the devastating flash flood that occurred in early April 2017; most of the farmers lost more than two-thirds of their standing crops. Flash flood has a large scale impact on soil degradation. As a consequence of these effects, crop production was observed to be reduced the following year. People from Khoishore village are affected by riverbank erosion while the people from Dalargaon village and Hasimpur village are severely affected by Riverbed fill up. Above 93%, people of three villages opined that there is a severe climate change impact on pisciculture, biodiversity and cultivable land.
Robustness evaluation of coal mine based on FAHP and DST
Authors: Wang Xiaochuan
Published: December 2021

Enterprise quality management robustness describes the effectiveness of quality management error-proofing system. In accordance with fuzzy analytic hierarchy process (FAHP) and Dempster-Shafer theory (DST), this research constructs the evaluation model of the quality management robustness of coal mine establishes the evaluation index system from seven aspects and three levels, and puts forward the evaluation method. At last, the effectiveness of the error-proofing system of coal mining enterprise is verified.
Hardware efficient circuit for low error logarithmic converter
Authors: Jammu Bhaskara Rao , Harsha L. Guna Sekhar Sai , Bodasingi Nalini , Veeramachaneni Sreehari , SK Noor Mohammad
Published: December 2021

The need to implement high-speed Signal processing applications in which multiplication and division play a vital role made logarithmic arithmetic a prominent contender over the traditional arithmetic operations in recent years. But the logarithm and antilogarithm converters are the bottlenecks. In order to reduce the logarithmic conversion complexity, several works have been introduced from time to time for correcting the error in Mitchell’s algorithm but at the cost of hardware. In this work, we propose a 32-bit binary to the binary logarithmic converter with a simple correction circuit compared with existing techniques. Unlike the current methods that use the linear piece-wise approximation in the mantissa, we propose a weighted average method to correct the error in Mitchell’s approximation. The maximum error percentage from the proposed work is 0.91%, which is 16.9% of Mitchell’s error percentage.
Remote error estimation of smart meter based on clustering and adaptive gradient descent method
Authors: Chen Liang , Huang Youpeng , Lu Tao , Dang Sanlei , Zhang Jie , Zhao Wen , Kong Zhengmin
Published: December 2021

At present, the main way for electric power companies to check the accuracy of electric meters is that professionals regularly bring standard electric meters to the site for verification. With the widespread application of smart meters and the development of data processing technology, remote error estimation based on the operating data of smart meters becomes possible. In this paper, an error estimation method of smart meter based on clustering and adaptive gradient descent method is proposed. Firstly, the fuzzy c-means clustering method is used to preprocess the data to classify the operating conditions of each measurement, and then the adaptive gradient descent method is used to establish the error estimation model. The simulation results show that this method has high error estimation accuracy. This method has a small amount of calculation and high reliability and is suitable for large-scale power grids.
Research on SCADA system security reinforcement method based on distributed Pareto algorithm
Authors: Ning Hua , Liu Kaijun , Li Yuan
Published: December 2021

As the SCADA system develops continuously, the dissemination of malicious network behaviors has brought great risk to the normal operation of enterprises, meanwhile resulting in huge economic burden to personal work and life. Therefore, the security reinforcement strategy is crucial to the field of network security management and analysis of the SCADA system. Some researchers have started to investigate on how to minimize the cost of realizing the SCADA system reinforcement strategy. However, the SCADA system administrators are facing a very challenging problem, that’s the reinforcement budget is less than the minimal input of SCADA system security reinforcement. The core of this problem lies on how to choose a subset from massive security reinforcement strategies, so as to minimize the risks from not patching all essential security vulnerabilities within the budget. Based on a deep comparative analysis of existing multi-objective optimization technologies, this paper proposes a multi-objective optimization method based on system attack tree model, and uses Pareto algorithm to solve this problem. The experimental results demonstrate that the Pareto algorithm can effectively make the multi-objective decision in security reinforcement strategy, and can solve practical issues in actual SCADA system security reinforcement practice.
Automatic generation of a large dictionary with concreteness/abstractness ratings based on a small human dictionary
Authors: Ivanov Vladimir , Solovyev Valery
Published: December 2021

Concrete/abstract words are used in a growing number of psychological and neurophysiological research. For a few languages, large dictionaries have been created manually. This is a very time-consuming and costly process. To generate large high-quality dictionaries of concrete/abstract words automatically one needs extrapolating the expert assessments obtained on smaller samples. The research question that arises is how small such samples should be to do a good enough extrapolation. In this paper, we present a method for automatic ranking concreteness of words and propose an approach to significantly decrease amount of expert assessment. The method has been evaluated on a large test set for English. The quality of the constructed dictionaries is comparable to the expert ones. The correlation between predicted and expert ratings is higher comparing to the state-of-the-art methods.
Improved approach to wave potential estimation using bivariate distributions
Authors: Guzmán-Cabrera Rafael , Hernández-Robles Iván A. , González-Ramírez Xiomara , Guzmán-Sepúlveda José Rafael
Published: December 2021

Probabilistic approaches are frequently used to describe irregular activity data to assist the design and development of devices. Unfortunately, useful estimations are not always feasible due to the large noise in the data modeled, as it occurs when estimating the sea waves potential for electricity generation. In this work we propose a simple methodology based on the use of joint probability models that allow discriminating extreme values, collected from measurements as pairs of independent points, while allowing the preservation of the essential statistics of the measurements. The outcome of the proposed methodology is an equivalent data series where large-amplitude fluctuations are suppressed and, therefore, can be used for design purposes. For the evaluation of the proposed method, we used year-long databases of hourly-collected measurements of the wave’s height and period, performed at maritime buoys located in the Gulf of Mexico. These measurements are used to obtain a fluctuations-reduced representation of the energy potential of the waves that can be useful, for instance, for the design of electric generators.
Monoamine Oxidase-B Inhibitors for the Treatment of Parkinson’s Disease: Past, Present, and Future
Authors: Tan Yu-Yan , Jenner Peter , Chen Sheng-Di
Published: December 2021

Monoamine oxidase-B (MAO-B) inhibitors are commonly used for the symptomatic treatment of Parkinson’s disease (PD). MAO-B inhibitor monotherapy has been shown to be effective and safe for the treatment of early-stage PD, while MAO-B inhibitors as adjuvant drugs have been widely applied for the treatment of the advanced stages of the illness. MAO-B inhibitors can effectively improve patients’ motor and non-motor symptoms, reduce “OFF” time, and may potentially prevent/delay disease progression. In this review, we discuss the effects of MAO-B inhibitors on motor and non-motor symptoms in PD patients, their mechanism of action, and the future development of MAO-B inhibitor therapy.
Evaluation of in-house ELISA and 11 commercial ELISA kits in the serological diagnosis of COVID-19
Authors: Rastawicki Waldemar , Płaza Klaudia , Pietrusiński Adam
Published: December 2021

Introduction: ELISA-Immunoassays can complement the molecular diagnostic methods, and can be one of the important tools of sero-surveillance and vaccine evaluation. The aim of the presented study was to develop in-house ELISA and evaluate 11 commercial ELISA tests for detection of anti-SARS-CoV-2 antibodies in serum samples collected from COVID patients.
Methods: In total, 237 serum samples obtained from 165 people with COVID-19 with RT-PCR confirmed SARS-CoV-2 virus infection were used for the study. The specificity of the developed in-house ELISA kit was tested using 170 serum samples obtained from patients with various bacterial and viral infections. The study used an in-house ELISA and 11 commercial ELISA kits developed by various manufacturers.
Results: The presented study showed high sensitivity (81.0%) and specificity (97.2%) of the developed in-house kit in relation to the RT-PCR method. The sensitivity of the inhouse test significantly increased (98.1%) when only convalescents - persons at least 3 weeks after COVID-19 were examined. Commercial ELISA kits most frequently detected IgG antibodies (from 44.9% to 89.4%), especially in samples obtained later in the disease, and the least frequent detection of IgM antibodies (from 4.2% to 42.4%).
Conclusions: All the presented ELISA kits may be used in serodiagnosis of COVID-19 however the detection of antibodies in individual tests differed quite significantly and was dependent on the period of the disease, on the class of immunoglobulins and the type of antigen used. The sensitivity of serological tests in the IgG class is clearly higher when examining samples obtained at least 2-3 weeks from the onset of clinical symptoms.
Searching for IgA antibodies may be useful mainly in the early phase of the disease while IgM antibodies does not provide significant additional information. In the case of asymptomatic or mild infection, the level of antibodies is low which may be the cause problems with the correct interpretation of epidemiological surveys
Hybrid threats as an object of educational practices in the cultural and artistic sphere of Ukraine (based on the experience of the Erasmus + project "Academic Counteraction to Hybrid Threats - #WARN" 610133-EPP-1-2019-1-FI-EPPKA2-CBHE-JP")
Authors: Vedeneev Dmytro , Kopievska Olga
Published: December 2021

Purpose of the article. Investigate and summarize the experience of the National Academy of Culture and Arts Management in preparing graduates for the formation of special competencies that will professionally counteract hybrid threats in the socio-cultural sphere of Ukraine, acquaint them with methods of diagnosing and analyzing relevant hazards, organizational and legal bases, forms and methods countering threats, security of the national cultural and humanitarian sphere as a component of management of socio-cultural activities. Methodology. Dialectical and structural-system approaches, general scientific methods of abstraction, classification, and comparison are used. A synergetic approach to the theory of security science, structural-functional and system-situational methods of management science are applied. Methods of scientific analysis and scientometrics, empirical-cognitive method of pedagogical science are involved. Scientific novelty. For the first time, the organizational and methodological bases of the introduction of studying modern views on the essence of unconventional (hybrid) confrontation in the maintenance and algorithm of preparation of experts of a master's level on the management of sociocultural activity are investigated. Conclusions. The development of tools for the destructive impact on the socio-cultural sphere of sovereign states (societies) in the arsenal of "hybrid wars" encourages the introduction of management training for the socio-cultural sphere, development, and implementation of specialized courses to acquire special competencies that will allow future cultural and civilizational matrix as the basis of the viability of states and peoples. It is advisable to introduce structural and logical teaching of theoretical knowledge and practical skills on combating hybrid threats at different levels of higher education. It seems important to develop and implement cultural practices, training, and game components that will develop critical, creative, creative thinking while forming in future managers of socio-cultural activities skills to prevent destructive influences on the socio-cultural sphere.

Key words: hybrid threats, hybrid war, national and information security, teaching methods, training and game practice, management of socio-cultural activities.
Historical identity in the coordinate system of world development
Authors: Gerchanivska Polina
Published: December 2021

The purpose of the article is to analyze the systemic characteristics of historical identity as a scientific category and to comprehend its substantive core on the basis of the paradigm that dominates in a particular historical period. Methodology. Research methods are based on the fundamental principles of historical and cultural studies analysis. The conceptual methodological core of the research is the system analysis of identity as a complex hierarchical system, self-developing in the chronotopе. The scientific novelty lies in the conceptualization of the phenomenon of historical identity from the standpoint of its temporality in the context of the acceleration of identification processes. The invariant and variable nature of the phenomenon is revealed. Conclusions. Based on the memorial paradigm about the continuity of history in its correlation with time, it is shown that historical identity is a sociology-cultural construct, the key mechanism for the formation of which is the dichotomy of «memory-oblivion».
Posthumanistic trends in foreign science vs culturology?
Authors: Gotz Lyudmila
Published: December 2021

The purpose of the article is to attract the attention of culturоlogists and cultural anthropologists to the possibility of reception of the problems and research lens of non-anthropocentric anthropology. In the last third of the ХХ – and early ХХІ centuries foreign non-anthropocentric anthropology has been in an active stage of conceptualization and institutionalization. And now its influence is continuing to grow. The article reveals the essence of such academic trends as anthropology without anthropocentrism, ontological turn in line with perspectivism, trans- аnd posthumanistic tendencies in the humanities, material turn, bio/animal turn, and others. The methodology within the framework of culturology and cultural studies is based on the conceptual foundations of non-anthropocentric anthropology, methods of empirical (observation, comparison), and theoretical research (abstraction, analysis, synthesis, induction, and deduction), etc. The scientific novelty of the paper lies in the fact that in the Ukrainian humanities, in particular in culturology and cultural studies, an analytical review of the genesis and essence of such a research approach as non-apocentric anthropology is carried out for the first time. As far as we know, the question of the need for the reception of the research optics of neo-centric anthropology by culturology is also raised for the first time. The article contains conceptual author’s tables also. Conclusions. The author believes that the reception of research on non-anthropocentric anthropology, the development of an appropriate conceptual apparatus, and revision of some key concepts of culturology in the light of modern scientific knowledge in a timely and promising area of research in culturology and cultural studies.
Genre and thematic classification of video blogging: A scientific approach
Authors: Gavran Iryna , Grabarchuk Olga , Grubich Kostyantyn
Published: December 2021

The purpose of the article is to clarify the genre-thematic classification of video blogging and the specific features of its affiliation with stylistic characteristics through the lens of a scientific approach. At present, there is no official classification of video blogging, but there are some types that help partially group all the variety of content into a single system. Methodology. The following methods were used during the study: scientific, content analysis, descriptive, statistical, comparative. The scientific novelty is to investigate video blogging as a subject of scientific analysis and study the genres of individual video platforms and online communities in terms of risks and opportunities. Conclusions. Video blogging is a relatively new concept that embodies an activity that is described by a communication function and a hybrid genre that has emerged as a result of technological progress. This phenomenon combines several genres, including the genres of comments and posts, and accompanies communicative situations on the Internet. The genre of this phenomenon is explained by its mobile features, because new modern videos are created every day, and they are difficult to refer to a specific topic because they are constantly mixed and modified with each other. The author's attitude towards his or her audience depends on aspects of individuality and aspects of personality. Today, a considerable number of successful video blogs are products of mass Internet consumption, devoid of monotonous content, which factor in the interests of the audience and help the film as efficiently as possible due to additional effects and editing.
Transdisciplinary convergent approach - human factor
Authors: Mygal Valeriy , Mygal Galyna , Mygal Stanislav
Published: December 2021

The article is devoted to the systemic problems of the study of the human factor, which are associated with the cognitive aspects of human-computer interaction. The rapid development of mathematical modeling has created systemic problems of safety, control and forecasting of the functioning of dynamic transport systems in difficult conditions. The accumulation of latent contradictions and interdisciplinary conflict are the main reasons for the systemic complexity of the problems of education and science, which have increased the importance of the human factor. The main goal of the work is to further develop a convergent approach to studying the problems of the safety of the human factor on a transdisciplinary basis. The key reason for systemic security problems and the manifestation of the human factor is self-organized criticality, the manifestation of which in information transmission lines causes nonlinearity and instability of fractal signals of various natures. The work establishes a connection between the transitional functional states of a person with the individuality of his cognitive activity. A toolkit for identifying induced spatial and temporal inhomogeneities of information transmission media, which generate hidden spatio-temporal relationships at different scale levels, is proposed. These interconnections are determined by the individuality of the cognitive graphic images of fractal and multifractal signals of various natures. The creation of a knowledge base of cognitive graphic images of the dynamic structure of fractal and multifractal signals of various nature will allow finding solutions not yet available to the brain and computer separately. The application of the transdisciplinary convergent approach and tools based on it to electrophysiological signals of a human operator demonstrates advantages and new possibilities. In particular, revealing hidden spatio-temporal relationships that determine the manifestation of human factor in difficult conditions. The innovative potential of the convergent approach to training and forecasting activities of operators (pilot, dispatcher, etc.) is being discussed.
Application of dynamic programming approach to computation of atomic functions
Authors: Makarichev Victor , Kharchenko Vyacheslav
Published: December 2021

The special class of atomic functions is considered. The atomic function is a solution with compact support of linear differential functional equation with constant coefficients and linear transformations of the argument. The functions considered are used in discrete atomic compression (DAC) of digital images. The algorithm DAC is lossy and provides better compression than JPEG, which is de facto a standard for compression of digital photos, with the same quality of the result. Application of high precision values of atomic functions can improve the efficiency of DAC, as well as provide the development of new technologies for data processing and analysis. This paper aims to develop a low complexity algorithm for computing precise values of the atomic functions considered. Precise values of atomic functions at the point of dense grids are the subject matter of this paper. Formulas of V. O. Rvachev and their generalizations are used. Direct application of them to the computation of atomic functions on dense grids leads to multiple calculations of a great number of similar expressions that should be reduced. In this research, the reduction required is provided. The goal is to develop an algorithm based on V. O. Rvachev’s formulas and their generalizations. The following tasks are solved: to convert these formulas to reduce the number of arithmetic operations and to develop a verification procedure that can be used to check results. In the current research, methods of atomic function theory and dynamic programming algorithms development principles are applied. A numerical scheme for computation of atomic functions at the points of the grid with the step, which is less than each predetermined positive real number, is obtained and a dynamic algorithm based on it is developed. Also, a verification procedure, which is based on the properties of atomic functions, is introduced. The following results are obtained: 1) the algorithm developed provides faster computation than direct application of the corresponding formulas; 2) the algorithm proposed provides precise computation of atomic functions values; 3) procedure of verification has linear complexity in the number of values to be checked. Moreover, the algorithms proposed are implemented using Python programming language and a set of tables of atomic functions values are obtained. Conclusions: results of this research are expected to improve existing data processing technologies based on atomic functions, especially the algorithm DAC, and accelerate the development of new ones.
THEORETICAL FUNDAMENTALS OF ESTIMATABILITY ASSESSMENT OF TRAIN SITUATION SIGNS FOR WORK OF INTELLECTUAL LOCOMOTIVE CONTROL SYSTEMS
Authors: Gorobсhenko O.
Published: December 2021

The article is devoted to the problem of implementation of intelligent control systems in transport. An important task is to assess the information parameters of the control systems. In the existing works the question of definition of one of the basic parameters of functioning of locomotive control systems - information value of separate signs of a train situation is not considered. This does not make it possible to determine the order of signal processing at the input and assess their contribution to the adoption of a control decision. Moreover, informativeness is a relative value, which is expressed in the different information value of a particular feature for the classification of different train situations. Also, the informativeness of the feature may depend on the type of decisive rules in the classification procedure. The quality of recognition of a train situation in which the locomotive crew is, depends on the quality of the features used by the classification system. The decisive criterion for the informativeness of the features in the problem of pattern recognition is the magnitude of losses from errors. To determine the range of the most informative features of train situations, the method of random search with adaptation was used. The results of the work make it possible to optimize the operation of automated and intelligent train control systems by reducing the amount of calculations and simplifying their algorithm.
PERAN SELEBRITI ENDORSE TERHADAP KEPERCAYAAN KONSUMEN MENENGAH ATAS PADA PRODUK UKM
Authors: Fatimah Fatimah , Darna Darna , Purwaningrum Endang , Metekohy Elisabeth Yansye
Published: December 2021

Pandemi covid-19 membuat perekonomian Indonesia mengalami penurunan daya beli konsumen. Cara meningkatkan pertumbuhan ekonomi Indonesia adalah memulihkan kepercayaan kelompok konsumen menengah atas yang masih memiliki daya beli. Tingkat kepercayaan tersebut akan mendorong peningkatan belanja barang dan jasa yang dijual oleh UKM . Promosi dengan menggunakan selebriti endorse melalui media sosial banyak digunakan Pelaku UKM. Tujuan penelitian ini adalah untuk: mengukur pengaruh langsung selebriti endorse kepada keputusan membeli produk UKM dan mengukur pengaruh tidak langsung selebriti endorse terhadap keputusan membeli produk UKM melalui variabel ntervening tingkat kepercayaan kepada produk. Penelitian dilakukan di sekitar Jakarta, Bogor dan Depok, dengan populasi adalah kelompok menengah atas dengan penghasilan di atas 5 juta rupiah dan jumlah sampel sebanyak 90 orang. Teknik sampling menggunakan purposive non-random sampling, teknik ini dipilih karena tidak adanya data yang pasti mengenai jumlah anggota populasinya. Alat analisis menggunakan Path Analysis. Hasil perhitungan menunjukkan Selebriti Endorse hanya dapat mempengaruhi konsumen menengah atas untuk membeli produk UKM sebesar 3,1%, Sedangkan pengaruh tidak langsung dari selebriti endorse mempengaruhi keputusan konsumen menengah atas untuk membeli produk UKM melalui variabel intervening tingkat kepercayaan kepada produk adalah sebesar 59%. Saran kepada Pelaku UKM, harus memilih selebriti endorse yang dapat memunculkan kepercayaan konsumen menengah atas kepada produk UKM.
Kata Kunci: Selebriti Endorse, Produk UKM, Menengah Atas, Tingakat Kepercayaan.
Estratégias de comunicação para a atenuação de danos à reputação em crises organizacionais
Authors: Abdalah Mateus Nunes
Published: December 2021

A utilização adequada da comunicação durante uma crise organizacional tem a capacidade de amenizar danos à reputação de uma empresa e contribuir com a manutenção de suas operações e relacionamento com seus públicos de interesse. Neste contexto, o presente artigo, tem como questão norteadora: quais estratégias de comunicação podem ser utilizadas com maior eficácia para minimizar o impacto negativo à reputação de uma empresa em uma crise corporativa? Tendo como objetivo apontar as estratégias de comunicação mais efetivas para a gestão de crises corporativas. Para isto, foi realizada uma coleta de dados de pesquisas de autores da área de comunicação e análise de casos reais de crises passadas. Como resultados, conclui-se que as principais indicações foram que as organizações devem planejar antecipadamente a sua gestão de crise, e fazê-la de forma orientada para o bem-estar das vítimas, mantendo a transparência e um fluxo constante de informações pertinentes.
ОЦІНКА ВИКОНАННЯ БЮДЖЕТНИХ ПРОГРАМ В УКРАЇНІ ЗА 2016-2020 РОКИ
Authors: Бедринець Мирослава , Огійчук Єлєна
Published: December 2021

У статті досліджена проблема комплексної оцінки виконання бюджетних програм в Україні, розроблені рекомендації, які спрямовані на оцінювання їх виконання в 2016 – 2020 роках. Існуючи підходи комплексного оцінювання стану виконання бюджетних програм не дають змоги провести таку оцінку комплексно та об’єктивно, відповідно, в статті автор пропонує власну методику оцінювання стану виконання бюджетних програм в Україні, наводить приклад такої оцінки за період із 2016 року по 2020 рік. Запропонований в роботі підхід дає можливість провести оцінку стану виконання бюджетних програм спираючись на дані, що є у відкритому доступі, застосовуючи відомі процедури експертного оцінювання та самостійної аналітичної роботи експерта, не звертаючись при цьому до складних аналітичних процедур та математичних розрахунків.
ІННОВАЦІЙНЕ УПРАВЛІННЯ ГОСПОДАРСЬКОЮ ДІЯЛЬНІСТЮ ПІДПРИЄМСТВА: МЕТОДОЛОГІЧНИЙ БАЗИС
Authors: Занора Володимир , Драненко Ігор
Published: December 2021

Статтю присвячено теоретико-методичним аспектам інноваційного управління господарською діяльністю підприємства. Наголошено на важливості інноваційного управління як головного чинника забезпечення конкурентоспроможності підприємства в сучасному ринковому середовищі. Розглянуто сутність категорії «інноваційне управління» та наведено її визначення. Наведено форми реалізації інноваційного управління господарською діяльністю підприємства, серед яких інноваційна політика, інноваційна програма, інноваційні проекти, інноваційні положення та інноваційні заходи. Зазначено структурно-логічну схему взаємозв’язку складових інноваційного управління господарською діяльністю підприємства. Опрацьовано структуру механізму інноваційного управління господарською діяльністю підприємства, елементами якого є мета, суб’єкт управління, об’єкт управління, методологічне підґрунтя, рівні реалізації, функції, методичний інструментарій, забезпечення та результат.
Competencia y regulación eficiente para impulsar un crecimiento inclusivo
Authors: Tobías Peña Lara , Campa Crespo Alfonso
Published: December 2021

En este artículo planteamos cómo apostar por mercados eficientes y competitivos puede impulsar un crecimiento inclusivo. A tal fin exponemos las vías mediante las cuales estos mercados apoyan dicho crecimiento inclusivo, y revisamos la literatura académica reciente sobre la materia. En particular, mostramos que la competencia y la regulación eficiente fomentan la creación de riqueza gracias a que impulsan la eficiencia, la innovación, la competitividad internacional y la productividad. Pero, además, facilitan que dicho crecimiento tenga naturaleza inclusiva y combaten la desigualdad al promover mejores condiciones de consumo, más empleo, igualdad de oportunidades y mejores servicios públicos, todo lo cual beneficia particularmente a los hogares de rentas más bajas, y sin coste adicional para el Estado; al contrario, favoreciendo una mejoría en las cuentas públicas. Son, por tanto, políticas idóneas para fomentar un crecimiento robusto, sostenible e inclusivo que se traduzca en más bienestar para toda la población.
PENINGKATAN STATUS GIZI ANAK SEKOLAH MELALUI PENDAMPINGAN PMT-AS BERBASIS PANGAN LOKAL
Authors: Chandradewi AASP , Adiyasa I Nyoman
Published: December 2021

Pemberian Makanan Tambahan pada anak sekolah (PMT-AS) berupa jajanan  dalam pelaksanaannya banyak ditemui hambatan terutama aspek-aspek penting dalam PMT diantaranya keterampilan dalam penggunaan bahan pangan lokal masih terbatas, kurang bervariasi serta standar gizi makanan jajanan yang disajikan masih memerlukan peningkatan.Tujuan dari kegiatan pengabdian masyarakat ini adalah meningkatkan status gizi anak sekolah melalui pendampingan PMT-AS berbasis pangan lokal. Kegiatan dilaksanakan di SDN1 Karang Bayan dengan jumlah sasaran 10 orang ibu rumah tangga dan  20 orang anak SD. Pendapingan dilakukan tiga kali dengan metode praktek dan ceramah. Untuk mengetahui hasil pendampingan dilakukan penilaian terhadap pengetahuan dan ketrampilan ibu tentang PMT dan produk yang dihasilkan. Produk hasil praktek diberikan kepada anak selama 3 bulan, penilaian status gizi anak menggunakan Z-skor. Untuk menganalisis dampak pendampingan terhadap pengetahuan dan ketrampilan ibu dan status gizi anak dengan mempergunakan uji Wilcoxon. Hasil pendampingan menunjukkan ada peningkatan rata-rata pengetahuan dan ketrampilan dari 52 menjadi 75 dan secara signifikan bermakna (p=0.005), begitu pula dengan status gizi anak dari gizi kurang menjadi normal (p=0.000). Pendampingan pada ibu dalam pembuatan biscuit untuk PMT dapat meningkatkan asupan zat gizi anak sekolah sehingga berdampak pada peningkatan status gizi
Clustering-Based Visual Interfaces for Presentation of Web Search Results: An Empirical Investigation
Authors: Turetken Ozgur , Sharda Ramesh
Published: December 2021

The result of a typical web search is often overwhelming. It is very difficult to explore the textual listing of the resulting documents, which may be in the thousands. In order to improve the utility of the search experience, we explore presenting search results through clustering and a zoomable two-dimensional map (zoomable treemap). Furthermore, we apply the fisheye view technique to this map of web search clusters to provide details in context. In this study, we report on our evaluation of these presentation features. The particular interfaces evaluated were: (1) a textual list, (2) a zoomable two-dimensional map of the clustered results, and (3) a fisheye version of the zoomable two dimensional map where the results were clustered. We found that subjects completed search tasks faster with the visual interfaces than with the textual interface, and faster with the fisheye interface than just the zoomable interface. Based on the findings, we conclude that there is promise in the use of clustering and visualization with a fisheye zooming capability in the exploration of web search results.
Visualization of Web Spaces: State of the Art and Future Directions
Authors: Turetken Ozgur , Sharda Ramesh
Published: December 2021

The World Wide Web is a dominant global communication medium and knowledge repository. It is used by a great number of people with a variety of computer skills hence its usability is critical. As with many large information collections, the challenge with web usability is understanding the structure of a collection of information objects (web pages) to find relevant ones for satisfying a specific information need. Web sites are organized in a hyperlinked structure that somewhat addresses this challenge. However, this “connectedness” also causes the now well-known “lost in cyberspace” phenomenon where one may get confused within the complex organization of a web site. Meanwhile, information exploration on the web is not limited to browsing a web site. The problem of finding relevant information applies to a collection of pages that come from various web sites as in the case of the results of a “less than perfectly constructed” search query.

Information visualization has been proposed as a way to cope with these problems by taking advantage of people’s innate perceptual skills to support their cognitive skills. Many paradigms have been proposed for the visual presentation of web spaces (i.e. structured or unstructured collection of web pages). This study surveys these paradigms to provide a map of where the research in this field is, and what directions future research and practice can take. For this, we introduce a classification scheme to help in the systematic understanding of web visualization and for providing a framework for the development of
future visualizations.
Practical And Robust Approach For A Neural Networks Based Indoor Positioning System Using Ultrawide Band
Authors: Murari Ryan
Published: December 2021

With the increasing widespread of sensor technology, new solutions for indoor positioning
systems are continuously being developed and with them, new services requiring accurate
positioning data have seen a great rise in popularity. In this thesis, a new design technique and deployment methodology for an indoor positioning system using neural networks is proposed to
offer more flexibility and simplicity in the development of such a system which is currently very
context-bound. The usage of battery-powered tags implies also that systems should not require
excessive power consumption and the large number of targets to position requires a method that is
not only accurate but also scalable. The proposed positioning system utilizes a small “swarm” of
neural networks tasked to position targets based on distance measurements from Ultrawide Band
sensors and requires shorter fingerprint collection campaigns and enables more flexibility in
system deployment and alterations. Instead of relying solely on real data collected on the field for
the training of neural networks, synthetic data is used for an initial training phase. Together, these propositions allow flexibility in terms of adding, removing or altering positions of reference nodes
and simplifies offline deployment operations of an indoor positioning system. This thesis presents
a system operating in a laboratory-workshop environment capable of good positioning accuracies
and maintains robust performances in poor signal propagation.
Unsupervised Panoptic Segmentation
Authors: Aziz Sajeel
Published: December 2021

The contributions of this paper are two-fold. We define unsupervised techniques for the panoptic segmentation of an image. We also define clusters which
encapsulate the set of features that define objects of interest inside a scene. The
motivation is to provide an approach that mimics natural formation of ideas inside the brain. Fundamentally, the eyes and visual cortex constitute the visual
system, which is essential for humans to detect and recognize objects. This can
be done even without specific knowledge of the objects. We strongly believe that
a supervisory signal should not be required to identify objects in an image. We
present an algorithm that replaces the eye and visual cortex with deep learning
architectures and unsupervised clustering methods. The proposed methodology
may also be used as a one-click panoptic segmentation approach which promises
to significantly increase annotation efficiency. We have made the code available
privately for review1.
Implementation of Geographic Information System Base On Google Maps API to Determine Bidikmisi Scholarship Recipient Distribution in Central Sulawesi Indonesia
Authors: Nurdin Nurdin , Pettalongi Sagaf S. , Mangasing Mansur
Published: December 2021

The presence of information technology in web-based digital mapping, especially using the Google API, has helped various parties make decisions regarding mapping to find out the distribution of various objects. Bidikmisi scholarship recipients are a group of university students who receive fundings Indonesian government every year. They come from various regions and economic backgrounds. However, the distribution of origin of students receiving the Bidikmisi scholarships has never been investigated accurately. As a result, information related to the geographical distribution of Bidikmisi scholarship recipients, both from an economic point of view and the quality of their education, has not yet been mapped. This study, therefore, developed a geographic information system (GIS) application based on google API to map the distribution of students receiving Bidikmisi scholarship based on region and economic geography. Data were gathered through surveys and interviews with experts and stakeholders from the State Islamic University of Datokarama Palu, Indonesia, to obtain information regarding the GIS design and also the criteria for Bidikmisi scholarship recipients. The results of the study show that 305 students received the scholarship from twelve regencies in Central Sulawesi, Indonesia. The origins of the students were successfully mapped throughout the province. Our study helped universities, especially in the field of student affairs and the Quality Assurance Department, to monitor the distribution of Bidikmisi scholarship recipients. Our study can be used as a reference in making quick and accurate decisions in future scholarship distribution.