bluuebunny/crossref_metadata_2025 huggingface dataset:
Efficient detection of hacker community based on twitter data using complex networks and machine learning algorithm
Authors: Al-Tarawneh Ahmed , Al-Saraireh Ja’afer
Published: May 2021

Twitter is one of the most popular platforms used to share and post ideas. Hackers and anonymous attackers use these platforms maliciously, and their behavior can be used to predict the risk of future attacks, by gathering and classifying hackers’ tweets using machine-learning techniques. Previous approaches for detecting infected tweets are based on human efforts or text analysis, thus they are limited to capturing the hidden text between tweet lines. The main aim of this research paper is to enhance the efficiency of hacker detection for the Twitter platform using the complex networks technique with adapted machine learning algorithms. This work presents a methodology that collects a list of users with their followers who are sharing their posts that have similar interests from a hackers’ community on Twitter. The list is built based on a set of suggested keywords that are the commonly used terms by hackers in their tweets. After that, a complex network is generated for all users to find relations among them in terms of network centrality, closeness, and betweenness. After extracting these values, a dataset of the most influential users in the hacker community is assembled. Subsequently, tweets belonging to users in the extracted dataset are gathered and classified into positive and negative classes. The output of this process is utilized with a machine learning process by applying different algorithms. This research build and investigate an accurate dataset containing real users who belong to a hackers’ community. Correctly, classified instances were measured for accuracy using the average values of K-nearest neighbor, Naive Bayes, Random Tree, and the support vector machine techniques, demonstrating about 90% and 88% accuracy for cross-validation and percentage split respectively. Consequently, the proposed network cyber Twitter model is able to detect hackers, and determine if tweets pose a risk to future institutions and individuals to provide early warning of possible attacks.
A simple and high accurate finite volume scheme for diffusion equations
Authors: Jing Zhucui , Song Shuhong
Published: May 2021

Most of numerical methods for diffusion equations, refer to vertex unknowns directly or indirectly, and their accuracy is ultimately determined by the approximation to vertex unknowns. Based on the “twin-fitting” method, a simple and high accurate treatment for the vertex unknowns is developed and is applied to the nine-point scheme for diffusion problem. Numerical experiments show that the resulting nine-point scheme is high accurate for diffusion problems with discontinuous diffusion coefficients on distorted meshes.
A Markov process model of sizing the capacity of reserved storage yard in intermodal container terminal
Authors: Guo Shujuan , Diao Cuijie , Li Gang , Wang Xiaohan , Zang Linlin , Jin Zhihong
Published: May 2021

The intermodal container terminal is an important node linking the routes of shipping and China Railway Express. This paper proposes a Markov process model to explore the optimal capacity of the reserved storage yard in the intermodal container terminal. The flow balance equations are formulated to calculate the steady-state probability. The total cost is taken as the performance measure. Numerical analysis manifests that the railway preference rate and the strategy with and without transfer obviously affect the optimum capacity of the reserved storage yard. Some useful insights for the management of the intermodal container terminal are discussed.
Research on decision support system of sports assistant teaching and training based on association rules and support vector machine
Authors: Tong-Zhigang
Published: May 2021

In the decision-making system of sports assistant teaching and training, the performance of such system is not robust to different situations with a low accuracy. To solve the problems in the decision-making system, we proposed a decision-making method combining association rules and support vector machine (SVM) in this paper. First of all, we give a computer-aided decision support system for sports assistant learning and teaching training, which is fully elaborated from three aspects: virtual reality (VR) technology, VR based sports assistant learning and teaching and situational cognition, and VR based sports assistant learning and teaching mode. After that, the paper gives the feature extraction of sports auxiliary teaching training through association rules and the decision-making of the extracted association rules by SVM. We have done two different experiments for both association rules mining and SVM on both experiment group and control group of databases. Experimental results have shown that the training characteristics of sports auxiliary teaching very well. In the decision support of association rules, compared with the existing BP neural network, linear discriminant analysis and naive Bayes and other methods, the SVM method has better effect of action recognition in decision support system of sports assistant teaching and training. The robustness is the best for the application of SVM. We provide a new perspective for the decision support of sports auxiliary teaching training by using association rules and SVM. Through the method of this paper, we can obtain better decision-making effect and more robust process of sports auxiliary teaching and training.
Music psychology using fuzzy models to promote mental health
Authors: Liu Shengnan , Zhang Tingting
Published: May 2021

Music psychology can play an important role in the diagnosis and rehabilitation of mental health patients. Under the guidance of music psychology, this paper combines fuzzy models to process data, which effectively solves the problem that the number of categories in the fuzzy c-means algorithm needs to be manually given. The AFCC algorithm effectively combines the idea of semi-supervised clustering with the CA algorithm. Through two sets of must-link and cannot-link, this paper introduces the constraint penalty item into the objective function, which greatly improves the clustering accuracy. On this basis, this paper constructs a fuzzy model of psychological rehabilitation and diagnosis based on music psychology, designs experiments to verify the performance of this model, and conducts research results statistics from two aspects of diagnosis and rehabilitation. The research results show that the model constructed in this paper has certain practical effects.
Nuclear magnetic resonance spectrum aided diagnosis based on DNN neural network
Authors: Li Tao , Yang Yongqing
Published: May 2021

The nuclear magnetic resonance spectrum contains a variety of effective information, and most of the current clinical medicine uses nuclear magnetic resonance images as a diagnostic basis, but the spectral information is still not effectively explored. In order to improve the diagnostic results of nuclear magnetic resonance spectrum, this study uses DNN neural network as a technical support to extract effective information of nuclear magnetic resonance spectrum. Simultaneously, in order to improve the ability to describe the local features of the image, the traditional Crow algorithm is improved, and a similar target localization algorithm based on F-CroW is proposed. In addition, starting from the animal model of nasopharyngeal carcinoma and the serum and urine samples of patients with clinical nasopharyngeal carcinoma, this study designed a comparative study to study the performance of the proposed algorithm. According to the research and analysis, the DNN neural network proposed in this study has certain effects in the nuclear magnetic resonance spectrum analysis, which can be applied to clinical practice.
Blood Cholesterol Decreases as Parkinson’s Disease Develops and Progresses
Authors: Wang Keran , Luo Zhehui , Li Chenxi , Huang Xuemei , Shiroma Eric J. , Simonsick Eleanor M. , Chen Honglei
Published: May 2021

Background: Literature shows an inverse association of circulating cholesterol level with the risk of Parkinson’s disease (PD); this finding has important ramifications, but its interpretation has been debated. Objective: To longitudinally examine how blood total cholesterol changes during the development of PD. Methods: In the Health, Aging and Body Composition study (n = 3,053, 73.6±2.9 years), blood total cholesterol was measured at clinic visit years 1, 2, 4, 6, 8, 10, and 11. We first examined baseline cholesterol in relation to PD risk, adjusting for potential confounders and competing risk of death. Then, by contrasting the observed with expected cholesterol levels, we examined the trajectory of changes in total cholesterol before and after disease diagnosis. Results: Compared to the lowest tertile of baseline total cholesterol, the cumulative incidence ratio of PD and 95% confidence interval was 0.41 (0.20, 0.86) for the second tertile, and 0.69 (0.35, 1.35) for the third tertile. In the analysis that examined change of total cholesterol level before and after PD diagnosis, we found that its level began to decrease in the prodromal stage of PD and became statistically lower than the expected values ∼4 years before disease diagnosis (observed-expected difference, –6.68 mg/dL (95% confidence interval: –13.14, –0.22)). The decreasing trend persisted thereafter; by year-6 post-diagnosis, the difference increased to –13.59 mg/dL (95% confidence interval: –22.12, –5.06), although the linear trend did not reach statistical significance (p = 0.10). Conclusion: Circulating total cholesterol began to decrease in the prodromal stage of PD, which may in part explain its reported inverse association with PD.
Denoising of magnetic resonance images using discriminative learning-based deep convolutional neural network
Authors: Tripathi Sumit , Sharma Neeraj
Published: May 2021

BACKGROUND: The noise in magnetic resonance (MR) images causes severe issues for medical diagnosis purposes. OBJECTIVE: In this paper, we propose a discriminative learning based convolutional neural network denoiser to denoise the MR image data contaminated with noise. METHODS: The proposed method incorporates the use of depthwise separable convolution along with local response normalization with modified hyperparameters and internal skip connections to denoise the contaminated MR images. Moreover, the addition of parametric RELU instead of normal conventional RELU in our proposed architecture gives more stable and fine results. The denoised images were further segmented to test the appropriateness of the results. The network is trained on one dataset and tested on other dataset produces remarkably good results. RESULTS: Our proposed network was used to denoise the images of different noise levels, and it yields better performance as compared with various networks. The SSIM and PSNR showed an average improvement of (7.2 ± 0.002) % and (8.5 ± 0.25) % respectively when tested on different datasets without retaining the network. An improvement of 5% and 6% was achieved in the values of mean intersection over union (mIoU) and BF score when the denoised images were segmented for testing the relevancy in biomedical imaging applications. The statistical test suggests that the obtained results are statistically significant as p< 0.05. CONCLUSION: The denoised images obtained are more clinically suitable for medical image diagnosis purposes, as depicted by the evaluation parameters. Further, external clinical validation was performed by an experienced radiologist for testing the validation of the resulting images.
Directional effects of whole-body spinning and visual flow in virtual reality on vagal neuromodulation
Authors: Yang Alexander Hui Xiang , Khwaounjoo Prashanna , Cakmak Yusuf Ozgur
Published: May 2021

BACKGROUND: Neural circuits allow whole-body yaw rotation to modulate vagal parasympathetic activity, which alters beat-to-beat variation in heart rate. The overall output of spinning direction, as well as vestibular-visual interactions on vagal activity still needs to be investigated. OBJECTIVE: This study investigated direction-dependent effects of visual and natural vestibular stimulation on two autonomic responses: heart rate variability (HRV) and pupil diameter. METHODS: Healthy human male subjects (n = 27) underwent constant whole-body yaw rotation with eyes open and closed in the clockwise (CW) and anticlockwise (ACW) directions, at 90°/s for two minutes. Subjects also viewed the same spinning environments on video in a VR headset. RESULTS: CW spinning significantly decreased parasympathetic vagal activity in all conditions (CW open p = 0.0048, CW closed p = 0.0151, CW VR p = 0.0019,), but not ACW spinning (ACW open p = 0.2068, ACW closed p = 0.7755, ACW VR p = 0.1775,) as indicated by an HRV metric, the root mean square of successive RR interval differences (RMSSD). There were no direction-dependent effects of constant spinning on sympathetic activity inferred through the HRV metrics, stress index (SI), sympathetic nervous system index (SNS index) and pupil diameter. Neuroplasticity in the CW eyes closed and CW VR conditions post stimulation was observed. CONCLUSIONS: Only one direction of yaw spinning, and visual flow caused vagal nerve neuromodulation and neuroplasticity, resulting in an inhibition of parasympathetic activity on the heart, to the same extent in either vestibular or visual stimulation. These results indicate that visual flow in VR can be used as a non-electrical method for vagus nerve inhibition without the need for body motion in the treatment of disorders with vagal overactivity. The findings are also important for VR and spinning chair based autonomic nervous system modulation protocols, and the effects of motion integrated VR.
Anxiety effects on quality of life during the COVID-19 outbreak: A parallel-serial mediation model among nurses in Turkey
Authors: Potas Nihan , Koçtürk Nilüfer , Toygar Sükrü Anıl
Published: May 2021

BACKGROUND: Nurses experience loneliness, anxiety, fear, fatigue, sleep disorders, and other physical and mental health problems due to their close contact with patients in cases of epidemic diseases. Among nurses in Turkey, we want to explore how anxiety, psychological health, and social isolation affect nurses’ quality of life. OBJECTIVES: This study aimed to investigate the effects of the COVID-19 pandemic on the quality of life (COVID-19 EQLS), State-Trait Anxiety Inventory (STAI-1 and STAI-2), psychological health, and social isolation among nurses. It also aimed to identify whether the influence of trait anxiety, psychological health, and social isolation are stronger than the direct influence of state anxiety on nurses’ quality of life during the pandemic. METHODS: A cross-sectional study design and STROBE guidelines were implemented. In this study, 638 nurses in Turkey were included using simple random sampling. The participants completed the STAI-1 and STAI-2 and COVID-19 EQLS online-form. The parallel-serial mediation model was used to examine the relationships between the determined variables. RESULTS: Psychological health, psychological effects of social isolation, and trait anxiety fully mediated the relationship between state anxiety and quality of life of nurses. The total indirect effect of the confidence interval of bootstrapping was statistically different from zero. CONCLUSIONS: Trait anxiety, psychological health, and social isolation were the main factors with statistically significant indirect effects on the quality of life of Turkish nurses in this study.
Attitudes of the elderly living independently towards the use of robots to assist with activities of daily living
Authors: Huang Tianyang , Huang Chiwu
Published: May 2021

BACKGROUND: Robots are gaining attention as a potential solution to aging. OBJECTIVE: The purpose of this study is to explore the attitude of robot assistance in Activities of Daily Living (ADLs) among elderly people living independently. METHODS: The one-on-one interview, buddy robot video and questionnaire survey were used to analyze mean, median, range, and the test results of non-parametric statistical methods such as Wilcoxon sign-rank test statistic and one-sample Wilcoxon sign-rank test statistic, so as to explore the attitude of the elderly living independently towards robot-assisted ADLs and the acceptance of the use of robots in 32 ADLs. RESULTS: The results showed that there were significant differences in the attitudes, usability and ease of use of elderly people towards robot assistance before and after watching the Buddy Robot video and they had a more positive attitude after watching the video. According to the results, the elderly was more receptive to the use of robots in activities such as “reminding to carry objects” and “reminding to take medicine”, while they were less receptive to the use of robots in the group or private activities such as “playing mahjong” and “taking a bath”. CONCLUSIONS: The results showed that the elderly had a positive attitude towards the use of robot-assisted ADLs, and there were differences in the acceptance of robot-assisted ADLs. The results are helpful to understand the assistance needs and attitudes of the elderly, and provide a reference for the design of assistive robots that meet user needs, and ultimately improve the ability of the elderly to live independently at home.
Work, physical activity, and metabolic health: Understanding insulin sensitivity of long-haul truck drivers
Authors: Lemke Michael K. , Oberlin Douglas J. , Apostolopoulos Yorghos , Hege Adam , Sönmez Sevil , Wideman Laurie
Published: May 2021

BACKGROUND: Long-haul truck drivers are disproportionately exposed to metabolic risk; however, little is known about their metabolic health and the role of physical activity and other risk factors in metabolic outcomes. OBJECTIVE: This study compares truck drivers’ insulin sensitivity, and associations between metabolic risk factors and insulin sensitivity, with those of the general population. METHODS: Survey, anthropometric, and biometric data were collected from 115 long-haul truckers, which were then compared to the general population data using the National Health and Nutrition Examination Survey (NHANES) dataset. The quantitative insulin sensitivity check index (QUICKI) was used to estimate insulin sensitivity. RESULTS: Truck drivers had lower QUICKI scores than the general population cohort. Sagittal abdominal diameter and exercise were predictive for QUICKI among combined cohorts. Waist circumference and perceived health were more predictive for QUICKI among truck drivers, and sagittal abdominal diameter and income were more predictive for QUICKI among the general population. CONCLUSIONS: Long-haul truckers appear to represent a subset of the general population regarding the impact of physical activity and other metabolic risk factors on QUICKI. Accordingly, comprehensive efforts which target these factors are needed to improve truckers’ physical activity levels and other metabolic risks.
Algorithim to control output voltage and reduce the ripple of input current in quasi switched boost inverter
Authors: Le Xuan-Vinh , Nguyen Duc-Minh , Truong Viet-Anh , Quach Thanh-Hai
Published: May 2021

In recent years, the quasi -switched boost inverter uses widely in electrical systems. This paper proposes a method to control the AC output voltage and reduce the current ripple of the booster inductor in the quasi-switched boost inverter (QSBI). The proposed technique base on carrier pulse width modulation with two triangles with phase shifts 90◦. This technique uses the offset function to expand the modulation index and the algorithm for output voltage stabilization based on the adjustment of the boost ratio. The modulation index expansion will reduce the stress voltage on the switches by an average of 16.5% under the simulated conditions. The boost factor base on the short circuit time on the DC / DC booster and the inverter on the zero vectors. So, the duty ratio (of the boost DC / DC) can reduce by the short-circuit pulses that insert in the position of zero vectors, so the inverter is responsible for both boosting and inverting. The combination helps to reduce the current ripple on the boost inductor. Besides that, reducing the short-circuit ratio of DC / DC booster will also reduce the capacity of the booster switch and thereby reduce the production cost. The analysis clarifies the proposed technique. Simulations and experiments evaluate the proposed method.
The Antibacterial Effectiveness of Red Ginger (Zingiber Officinale Roscoe) Essential Oil in Inhibiting The Growth of Staphylococcus Aureus and Streptococcus Mutans
Authors: Lukita Shavilla , Winda Khosasi  , Chandra Susanto  , Florenly
Published: May 2021

Red ginger extract has a category strong antibacterial effect on Staphylococcusaureus and Streptococcus mutans. Red ginger essential oil has the potential forstronger inhibition. This study aims to compare the antibacterial effectiveness of redginger essential oil against Staphylococcus aureus and Streptococcus mutans. Thedesign of this study was a laboratory experimental design with a factorial completelyrandomized design. The red ginger used in this study was proven to be a species ofZingiber officinale Roscoe. The production of essential oils in this study uses thesteam distillation method. The content of secondary metabolites in red ginger wastested quantitatively by the GC-MS method. Determination of antibacterial activityusing the disc diffusion method. The data were processed using the SPSS 21.0program. The normality of data distribution was tested with the Shapiro-Wilk test,followed by one-way ANOVA, Levene's test, and the Tukey HSD Post Hoc Test. Theresults of the antibacterial test of red ginger essential oil against Staphylococcusaureus (21.21mm ± 0.315) and Streptoococcus mutans (23.43mm ± 0.189) provedthat the inhibition power of the category was very strong at a concentration of 75%.
The Effectiveness of The Combination of Nanoparticles from Carica papaya L. Leaf and Chitosan 1% Against Fibroblasts in The Tooth Socket of Wistar Rats.
Authors: Sim Mellisa , Helen Theresia Nauli  , Dang Phuong Khanh  , Novelya  , Felice Florencia Nicoline
Published: May 2021

Nanoparticles size can make easier for drugs to enter and react quickly to the body.In this study, nanoparticles Carica papaya L. leaf were used and combined withchitosan 1%. The aim of this study was to measure the effectiveness of thecombination of nanoparticles from Carica papaya L. leaf and chitosan 1% againstfibroblasts in the tooth socket of Wistar rats. Carica papaya L. leaf extract wasmade by maceration method and converted into a concentration of 25%, 50%, 75%and 100%, then made into nanoparticles using the nanoemulsion method. Chitosan1% was made using Na-TPP solvent using the ionic gelation method with a ratio of2:1 and after that it was mixed with nanoparticles of Carica papaya L. leaf thenmade into a gel preparation. The ANOVA statistical test shows a significant numberof p <0.05, so it can be ignored that the increase in the number of fibroblast cellsproduced by the nano gel extract is 25%, 50%, 75% and 100%, its 138, 173, 177.4and 328. Thus, the combination of 100% Carica papaya L. leaf nanoparticle extractand 1% nanocitosan was the most effective in increasing fibroblast cells on Wistarrat tooth socket.
MEDICO-LEGAL ASPECTS OF COVID-19 DISEASE IN INDIA: A COMPREHENSIVE REVIEW.
Authors: Todkar Mandar , Tihara Palak , Nagpal Tushar , Frank Aksha , Sinha Akanksha , Rana Sachin
Published: May 2021

In India, the first case of a COVID-19 patient was reported on 30th January 2020 by the Ministry of Health and Family Welfare in Kerala’s Thrissur district. On 11th March 2020, the World Health Organization (WHO) director-general’s briefed the media as an opening statement of the COVID-19 outbreak as a pandemic worldwide. In the literature data search, no article found which comprises the ethical and medico-legal aspects related to a COVID 19 pandemic situation. Therefore the purpose of to present review was to evaluate and review the Indian medico-legal aspects of Covid-19 disease. In the present review, different topics were covered such as the Epidemic Disease Act - 1897, the Disaster Management Act - 2005, the Biomedical Waste Management Act - 1998, the amendments to Epidemic Disease Act - 1998, Telemedicine and/or Teledentistry in the pandemic era in India, etc. The challenges of the COVID-19 pandemic are huge, but the basic principles of laws can keep healthcare personnel out of the medico-legal woods.
Keywords: COVID-19 disease, Disaster Management Act, Epidemic Disease Act, Medico-legal, Teledentistry.
ПІДВИЩЕННЯ КОНУРЕНТОСПРОМОЖНОСТІ УКРАЇНСЬКИХ ПІДПРИЄМСТВ ІНДУСТРІЇ ГОСТИННОСТІ
Authors: Фонарьова Тетяна , Бушуєв Кирило
Published: May 2021

Стаття присвячена проблемі підвищення конкурентоспроможності підприємств готельного бізнесу шляхом впровадження концепції управління бізнес-процесами на основі CRM-системи – управління відносинами з клієнтами. Наведена онтологія теорій конкуренції, яка показує, що інформованість та задоволення клієнтів – важливий інструмент у конкурентній боротьбі. Досліджуються основні проблеми українських готелів, виявлено основні недоліки сфери гостинності. Сформовано сучасне визначення принципів управління на основі CRM. Розглянуто напрями підвищення конкурентоспроможності українських підприємств сфери гостинності: 1) удосконалення організації бізнес-процесів у готелі у відповідності до ключових елементів CRM; 2) впровадження CRM в маркетингову інформаційну систему готелю; 3) розробка системи мотивації персоналу, як важливий інструмент в одержані конкурентних переваг.
ОЦІНЮВАННЯ СТАТИСТИЧНОГО ПОКАЗНИКА ВВП ЯК МІРИ СОЦІАЛЬНОГО ДОБРОБУТУ ТА РЕЗУЛЬТАТИВНОСТІ ЕКОНОМІК
Authors: Цапко-Піддубна Ольга
Published: May 2021

У статті розглянуто методологічну обмеженість статистичного показника ВВП та скоригованого показника ВВП на душу населення, яка полягає у неврахуванні сучасних потреб суспільства в зниженні рівня нерівності доходів та багатства, в зменшенні негативного впливу людської діяльності на навколишнє середовище, зростаючих боргових зобов’язань теперішнього та майбутніх покоління та інші. В результаті порівняльного аналізу економік за показниками ВВП на душу населення та за Індексом інклюзивного розвитку (ІІР), можна зробити висновок, що використання єдиного показника ВВП на душу населення при аналізі результативності економіки та виміру соціального добробуту є недостатнім. В протилежному випадку, одні країни є переоціненими, інші – недооціненими. Використання альтернативних до ВВП стратегій вимірювання соціального добробуту та результативності економіки, окрім максимізації зростання виробництва, спричинить перехід до виявлення та вирішення складніших суспільних питань сьогодення.
ФОРМУВАННЯ ІННОВАЦІЙНОЇ ЕКОСИСТЕМИ ВІТЧИЗНЯНОЇ СФЕРИ РІТЕЙЛУ
Authors: Оліх Леся , Іваницька Лілія
Published: May 2021

Стаття присвячена особливостям інноваційного розвитку та впровадженню цифрових технологій у сфері рітейлу. Авторами визначені поняття інноваційної екосистеми та основні її учасники, розкрито особливості її формування у вітчизняній сфері рітейлу на прикладі ТОВ «Інтертоп Україна». Охарактеризовано основні напрями змін у сфері рітейлу та необхідність їх активізації за умов пандемії, спричиненої СOVID-19. У статті представлено, які технологічні зміни відбулись у ТОВ «Інтертоп Україна» за останній рік та які нові продукти планується впровадити для підвищення якості обслуговування клієнтів і збереження конкурентних позицій на ринку. Охарактеризовано основні смарт-модулі системи «Інтертоп+». Методом багатокритеріального аналізу було визначено, з якою компанією доцільніше співпрацювати ТОВ «Інтертоп Україна» для замовлення технологічної продукції.
The Development of Urban Quality of Life Spatial Model using Geographic Information System (GIS) in Kuala Terengganu, Malaysia
Authors: Kamarudin Mohd Khairul Amri
Published: May 2021

The urbanisation process cause changes to the physical and non-physical environment to developing a town and Urban Quality of Life (UQoL). Kuala Terengganu is experiencing rapid urbanisation process over the past three decades. The main objective of this study to build the spatial model based on Geographic Information System (GIS) in the determination of UQoL in Kuala Terengganu, Malaysia. A total of 115 sampling location have chosen based on the current status of research UQoL in the study area. The method used includes the main stages of data analysis and processing of data mean score for each domain scores were analysed using GIS. The mean social domain, physical domain and access domain have been analysed through the technique of auto Inverse Distance Weighting (IDW-GIS). The correlation and regression methods were used to examine the relationship of urbanisation of research location and UQoL. The results showed the current status UQoL for the physical domain is in Class 2 with 78.92%, social domain is in Class 2, 77.61% and in Class 2 domain access, 95.01%. Based on the findings of these domains, a synthetic UQoL space model was produced. Overall, the current status of UQoL in the study area in Class 3 with 63.92%. The resulting space model based on spatial data sources from the year 2009 (land-use) and 2013 (satellite images) show that the area is in the south of Kuala Terengganu have a quality of life is better because of the proximity of the city centre and good infrastructure.
Hirshfeld Surface Investigation of Intermolecular Interaction of N-Aroyl-N’-(2-pyridyl)thiourea Derivatives
Authors: Draman Rafie
Published: May 2021

A detailed analysis of the intermolecular interactions of the crystalline structure of thiourea derivatives namely 1-(3-Methylbenzoyl)-3-(6-methyl-2-pyridyl)-thiourea, N-(2-Furoyl)-N’-(6-methyl-2-pyridyl)thiourea, 2-Methyl-N-[(3-methyl-2-pyridyl)-carbamothioyl]benzamide and 1-(4-Chlorobenzoyl)-3-(3-methylpyridin-2-yl)thiourea have been performed based on the Hirshfeld surfaces and their associated two-dimensional fingerprint plots. The result showed that the structures were stabilized by H···H, H···S, O···H, N···H, C–H···π, and π···π intermolecular interactions, which contribute mostly to the packing of the species in the crystal. The three largest contributions to the packing of the molecules in the crystals were provided by H···H, C–H···S and C··· H intermolecular interactions.
Antibacterial and Zebrafish-based Screening for Wnt Signal Inhibitory Activities of Syzygium polycephaloides (C.B. Robb. Merr.) Bark Extracts
Authors: Fuentes Rolly Garnace , Ocfemia Gio Martin A. , Abrasaldo Galileo Gregory
Published: May 2021

Syzygium polycephaloides, a plant native to Southeast Asia, is used to cure common illnesses. In this study, the methanolic bark extracts of S. polycephaloides was evaluated for their antibacterial activity and screened for their Wnt signal inhibitory activity using zebrafish-based assay. In the antibacterial assay, the extracts were tested against Staphylococcus aureus, Bacillus subtilis, Pseudomonas aeroginosa, and Escherichia coli using disk diffusion assay. On the other hand, zebrafish-based screening was used to determine the inhibitory potential of S. polycephaloides against the Wnt signal. Zebrafish embryos were treated with LiCl to upregulate the Wnt signal which produces eyeless phenotype. The methanolic extracts had antibacterial activity against the test microorganisms except P. aeruginosa. After fractionation, ethyl acetate (EtOAc) and aqueous fractions exhibited wide-spectrum antibacterial activity. For the Wnt signal inhibitory activity screening, the LiCl-treated embryos were rescued to their normal eye development after treatment with the S. polycephaloides bark extracts (100 g/mL). The results suggest that the extracts may have inhibited the Wnt signal. This study shows that the S. polycephaloides is a potent source of antibacterial compounds and Wnt inhibitors.
THE LEGAL REGULATION OF CLIMATE CHANGE IN UKRAINE: ISSUES AND PROSPECTS
Authors: Kopytsia Ievgeniia
Published: May 2021

When the climate change is one of the most urgent, complex and challenging global problems of the present, threatening global economy and international security, it has to be primarily regulated domestically, at the level of a State. The present article aims to examine the current state of legal regulation of the climate change issues in Ukraine. Accordingly, the critical analyses of the national legislation on climate change regulation and whether it corresponds with the State policy’s strategic aims are conducted; the provisions of strategic documents on climate change adaptation and mitigation in Ukraine are examined and the evaluation of such regulatory mechanism’s efficiency and effectiveness is performed. As a result, the author points out the drawbacks of national policy and law encompassing the climate change and offers a set of suggestions for its improvement.
STATE POLICY OF REGULATION OF QUALITY OF LIFE OF THE POPULATION
Authors: Berveno O. , Moskvina A.
Published: May 2021

Today, the attention of economic science should be focused on the search for real factors and mechanisms to promote such a development of the national economy, which corresponds to the scenario of the growth of the main components of the quality of life of the population. The leading subject of life quality management in modern conditions is the state, as an institution entrusted with the task of ensuring the macroeconomic conditions for the existence of the population and ensuring the social orientation of national development. Representatives of many sciences have been fruitfully researching the quality of life for a long time. Despite a significant amount of research on this issue, the problems of effective management of the processes of ensuring the quality of life at the national level remain insufficiently studied. The purpose of the article is to analyze the features of state regulation of the quality of life of the population as the main goal of modern socio-economic development. The concept of quality of life can play a key role in modeling contemporary national economic development. The solution to the quality of life problem is associated with the modernization of the education sector, improving the quality of medical services, developing health care, improving environmental safety, minimizing the negative impact of the environment, ensuring a sufficient level of material well-being for all citizens of the country, which can be realized only in conditions of effective functioning of the economy. The state becomes the main subject of the corresponding deep transformations. Among the most important obligations of the state are social obligations in relation to the working-age population, improvement of general conditions of employment and restoration of the reproduction function of remuneration, development of an intangible investment complex and social infrastructure. The management of the processes of modernization of the national economy in the context of ensuring the quality of life of the population of Ukraine should be determined by two pressing needs: ensuring an effective and fair system for the distribution of social results and growth of national productivity as the basis for sustainable economic development and increasing national competitiveness.
INTRODUCTION OF HR-NAVIGATOR ELEMENTS IN ACTIVITY KP “SHLYAKHREMBUD” WITH THE USE OF STATISTICAL TOOLS
Authors: Matveeva N. , Novikov D. , Slavuta O.
Published: May 2021

The theoretical foundations of technology personnel in the modern personnel management system and the trends of modern HR management are considered. The growth of the role of the human factor in the activities of enterprises has proved the need to find ways to increase the efficiency of the use of labor potential. Of course, the efficiency of companies depends on a number of socio-economic factors, among which the human factor is the most important. That is why scientists are paid to the development of theoretical and applied aspects of personnel management. The work of the KP "Wayerbud" is analyzed.
The road economy is characterized by a significant level (more than a third) of the staff in comparison with other industries, which negatively spills the effectiveness of enterprises of this industry. Among the reasons, it should be noted the complex working conditions associated with the open air work with an elevated and low temperature of the air and seasonal nature of the activity, as well as the data of the Ministry of Infrastructure of Ukraine Low level of remuneration – 3200–4000 UAH. Informatization of society and the development of information technologies have largely reflected on the personnel management system. Informatization of personnel work allowed to improve the efficiency of personnel management based on completeness, efficiency, complexity, systematic and probability of information necessary for the adoption of personnel decisions, as well as expanding opportunities for its accumulation, preservation and processing. Measures were developed for the formation of the motivational policy of the enterprise, justified to reduce labor costs and improved methodological approaches to determining the number of managerial staff. In order to effectively, a new organizational thinking, team culture and new business standards are required. In addition, cooperation between employees should be based on the principles of creative interaction and mutual respect.
Conducted in previous studies of personnel management systems and personnel management analysis on the research object, allowed to identify the main directions of work with personnel: vocational qualification and job promotion of employees (career management); creation of permanent personnel (stabilization of existing ones); improvement of morally – psychological climate; provision of jobs; accounting for qualification and personal skills with the formation of a data bank; evaluation of labor results for detecting the potential of each employee; training, advanced training in the organization. The results obtained can be used in the practical activity of the KP "Wayerbud" and other branches of the industry.
WAYS TO INCREASE THE PRODUCTION CAPACITY OF THE CONSTRUCTION INDUSTRY ENTERPRISE
Authors: Nechvolod O. , Bredikhin V. , Verbytska V.
Published: May 2021

In modern economic conditions, the maximum use of production capacity of enterprises is the cheapest measure, which dramatically affects the efficiency of their work. Based on statistics, it is emphasized that in Ukraine, despite the decline in the construction industry, which was caused by COVID-19, in 2021/22 it is planned to increase investment in new construction, repair (capital and current), reconstruction and technical re-equipment of construction companies. The article reveals the reserves for increasing production capacity, ways to reduce the duration of the production cycle on the construction site, as well as the possibility of digital transformation to increase the production capacity of construction companies. Based on the results of materials from various sources, including foreign and the experience of leading scientists, the main promising areas of the subsystem of production capacity management as an integral element of a comprehensive system to improve production efficiency. It should be noted that the functioning of the investment products market encourages construction companies to improve the techniques and technologies of construction production to the level of demand from consumer industries. According to the results of the analysis, general and basic concepts of ways to increase the efficiency of fixed assets of enterprises are determined, which necessitates the introduction of a system of strategic development of production facilities, which will allow to take into account factors of demand for new products and services. As a conclusion it is noted that in the conditions of modern planning at the enterprise of production capacities it is necessary to consider a number of necessary indicators among which it is possible to allocate a portfolio of orders for production or services, quantity of necessary material and labor resources, financial resources. It is expedient to substantiate the size of necessary resources by means of use of modern information and computer systems and necessarily with a simultaneous estimation of consumer demand for the made production.
The Antibacterial Activity of Thermoactinomyces sp. (H24) Extract Against Escherichia coli and Staphylococcus aureus
Authors: Puspita Julia Nanda , Kurniatuhadi Rikhsan , Rahmawati Rahmawati
Published: May 2021

Bacteria of the genus Thermoactinomyces have the ability to produce antibacterial bioactive compounds. This bioactive compound can be used for combating diarrheal agents such as Escherichia coli and Staphylococcus aureus. This study aims to determine the antibacterial activity of the metabolite extract from Thermoactinomyces sp. (H24) against Escherichia coli and Staphylococcus aureus. Methanol was used as a solvent for the extraction of bacterial bioactive compounds. Antibacterial activity was analyzed by the diffusion method with several extract concentrations (0.75 mL, 1.5 mL, 2.25 mL, and 3 mL), 10% DMSO as the negative control, and ciprofloxacin as the positive control. Our result shows that Termoactinomyces sp. (H24) extract has an inhibitory effect on the growth of  E. coli and S. aureus with an effective concentration of 2.25 mL (inhibition strength: very strong).
Comparation Between Mac conkey and Coconut Water Medium as a Growth Medium for Escherichia coli
Authors: Prayekti Endah , Suliati Suliati , Wulandari Dwi Agustin
Published: May 2021

Escherichia coli is the bacteria that can cause diarrhea in humans and often used as a parameter of stool environmental pollution. Culture of E. coli from the sample often requires Mac Conkey as commercial media which is able to distinguish it from other bacteria in the Enterobacteriaceae group. Commercial media such as Mac Conkey certainly has a price that is quite expensive because of its ability as a growth medium for Enterobacteriaceae. Therefore, in the study tested natural ingredients that can be used for growth media, such as coconut water. The purpose of this study was to compare the ability of Mac Conkey media and coconut water to support the growth of E. coli. This research is an experimental study with a completely randomized design. The concentration of coconut water tested was 0%, 20%, 40%, 60%, 80%, and 100%. The results showed that at the concentration of coconut water 20% to 60% the number of E. coli colonies on coconut water media was slightly below the Mac Conkey Agar media, while in coconut water a concentration of 80% showed a greater number of colonies than Mac Conkey. The Mann Whitney test showed a significant difference between the number of colonies on 80% coconut water media and Mac Conkey Agar, which was equal to 0.004 (p < 0.05). Based on these results, coconut water has the potential to be used as a growth medium for E. coli.
Students’ Perception towards COVID-19 Vaccination Program in Bangladesh: A Study on University Students
Authors: Biswas Bikram , Ullah Mohammad Nur , Roy Sajib Kumar , Ridwan Muhammad
Published: May 2021

After a long waited span, the whole world could see the ray of covid-19 vaccine to resist the planet to watch the death procession. But some country people especially the people of Bangladesh keep them aside to take the vaccination. This study aims to understand the perception towards the COVID-19 vaccination program in Bangladesh and the targeted subject is the university student as they are suffering highly depression nowadays. Higher education has been affected globally as a result of the COVID-19 pandemic in 223 countries. Moreover, for this pandemic situation, the university students can not complete their graduation which binds them to enter their professional career. Alike all of the developed countries, as well as developing countries, Bangladesh, also considered vaccination as an effective measure to protect the peoples from the Covid-19 virus. This study targeted three psychological factors of the university students and surveyed 322 students from the different universities in Bangladesh to understand their perception regarding vaccines. Moreover, it is seen that most of the students doubt the effectiveness of the vaccine which interrupts them from taking the vaccine willingly.
Pendekatan MDLC untuk Media Pembelajaran Pengenalan HIV/AIDS Berbasis Android
Authors:   Sekolah Tinggi Teknologi Garut, Tresnawati Dewi , Fitriani Leni , Mubarok Husni
Published: May 2021

Perkembangan teknologi saat ini sangat pesat banyak informasi yang di olah sedemikian rupa dan di kemas dengan beberapa media tujuan dari penelitian ini adalah untuk merancang bangun media pembelajaran pengenalan HIV/AIDS berbasis android dan menggunakan metodologi Multimedia Development Life Cycle (MDLC) yang memiliki enam tahapan yaitu tahapan konsep, perancangan, pengumpulan bahan, pembuatan, dan pengujian. Bahan-bahan yang dikumpulkan sumber nya yaitu dari dinas kesehatan Provinsi Jawa Barat yang setiap tahun nya selalu meningkat dari tahun 2010 sampai 2016 HIV dan AIDS ini mencapai 1.689 sekitar 230% meningkat dari tahun-tahun sebelumnya. Hasil dari penelitian ini adalah media pembelajaran pengenalan HIV/AIDS berbasis android yang menampilkan mengenai pengenalan HIV/AIDS, gejal-gejala yang ditimbulkan, cara penularan virus, bahaya dari penyakit HIV/AIDS dan pencegahan HIV/AIDS.
Rancang Bangun Media Pembelajaran Mengenal Alat Musik Tradisional Khas Jawa Barat Menggunakan Teknologi Augmented Reality
Authors:   Sekolah Tinggi Teknologi Garut, Rahayu Raden Erwin Gunadhi , Abdilah Daris Drajat
Published: May 2021

Alat musik tradisional adalah alat musik masyarakat setempat yang dibuat dan diwariskan secara turun-temurun dan berkelanjutan dalam masyarakat suatu daerah. Mereka memberikan peninggalan seperti ini agar kita bisa melestarikannya dan selalu menjaganya supaya tidak hilang ataupun musnah karena pengaruh budaya asing ataupun lainnya. Kegiatan pembelajaran mengenai alat musik tradisional dilakukan di sekolah atau bagi yang kursus dilakukan di sanggar kesenian dan masih menerapkan sistem penyampaian materi langsung ataupun melalui buku sehingga membuat para murid jenuh dalam proses pembelajaranya. Penelitian ini bertujuan untuk membuat aplikasi pembelajaran mengenal alat musik tradisional khusunya jawa barat dengan menggunakan sistem multimedia dan teknologi augmented reality yang dapat menambah minat belajar siswa dan masyarakat umum mengenai alat musik tradisional khas jawa barat. Metode yang digunakan dalam penelitian ini adalah multimedia development life cycle. Pengujian aplikasi menggunakan metode pengujian Alpha dengan Black Box testing dan pengujian betta terhadap kepuasan pengguna. Penelitian ini menghasilkan sebuah aplikasi media pembelajaran mengenal alat musik tradisional Jawa Barat yang dapat diakses secara mobile sehingga siswa dan masyarakat umum dapat belajar dimanapun dan kapanpun dan dengan adanya aplikasi ini maka siswa dapat menambah pengetahuan dan keinginan untuk belajar alat musik tradisional jawa barat.