Miracle-dz/UniFAR-FTUs huggingface dataset:
Machine Learning-based Distributed Denial of Service Attacks Detection Technique using New Features in Software-defined Networks

Software-Defined Networking is a new network architecture that separates control and data planes. It has central network control and programmability facilities, so it improves manageability, scaling, and performance. However, it may suffer from creating a single point of failure against the controller, which represents the network control plane. So, defending the controller against attacks such as a distributed denial of service attack is a valuable and urgent issue. The advances of this paper are to implement an accurate and significant method to detect this attack with high accuracy using machine learning-based algorithms exploiting new advanced features obtained from traffic flow information and statistics. The developed model is trained with kernel radial basis function. The technique uses advanced features such as unknown destination addresses, packets inter-arrival time, transport layer protocol header, and type of service header. To the best knowledge of the authors, the proposed approach of the paper had not been used before. The proposed work begins with generating both normal and attack traffic flow packets through the network. When packets reach the controller, it extracts their headers and performs necessary flow calculations to get the needed features. The features are used to create a dataset that is used as an input to linear support ector machine classifier. The classifier is used to train the model with kernel radial basis function. Methods such as Naive Bayes, K-Nearest Neighbor, Decision Tree, and Random Forest are also utilized and compared with the SVM model to improve the detection operation. Hence, suspicious senders are blocked and their information is stored. The experimental results prove that the proposed technique detects the attack with high accuracy and low false alarm, compared to other related techniques.
The Impact of the COVID 19 Pandemic on the Digitalization of Municipal Administration, the Development of E-Governance

This paper essentially addresses the importance and contribution of digitalization in the creation and implementation of public policies, thus analyzing the activity of the Municipal Administration in Gjilan, Vitia, and Kamenica, the principles on which it relies and administrative bodies as an important part of administration. First, the importance of Public Administration and its principles is presented, then Municipal Administration and Ethics in Municipal Administration. It then analyzes E-Government and E-Kiosk as an important structure of the administration and the role it has given so far in administrative reform as one of the advantages for the integration of Municipal Administrations, strong management and use of information technology for a smooth-running of work quickly and accurately, especially in protecting the health of citizens from the Covid-19 Pandemic. To achieve the purpose of this paper, the method of surveying citizens directly through questionnaires was used. The questions are mostly qualitative and they are closed-type, open-type, but there are also Liker type. The questionnaire was used to survey 60 participants from the Municipality of Gjilan, 50 participants from the Municipality of Vitia and 50 participants from the Municipality of Kamenica. After completing the questionnaire, it was concluded that the digitalization of the Municipal Administration requires well-trained staff and continuous maintenance of information systems. E-Government should be the main goal in the reform of the municipal administration, which will promote radical changes such as: a new way of management, discussions and communication, more efficient and faster decision-making, access for all to services, elimination of corruption and administrative silence. It is a driving force for the reorganization and renewal of administration services. It also protects the health of citizens from contagious diseases, especially during the Covid-19 Pandemic.
RASTER DATA BASED AUTOMATED NOISE DATA INTEGRATION FOR NOISE MAPPING LIMITING DATA DEPENDENCY

Noise has become a recurrent problem worldwide. Road traffic noise studies in India are fewer and restricted only to the metropolitan areas. These studies focused on recording, monitoring, analysis, modelling, and mapping. The major concern is with the onsite collection of vehicular noise data from road sites. Road traffic noise maps have been generated by using traditional techniques that involve the collection of road traffic noise by experts. There are negligible studies in the area of automated noise generation for road traffic noise. In this paper, the study examines the problems that an individual is facing in collecting onsite noise data. Onsite Noise data collection with Sound Pressure level increases the delay. A noise map is a graphical representation of the spatial dissemination in a given area for a characterized period. Developing any geospatial application requires the collection of geospatial data and attribute information. Open-source geospatial data are largely available today in the form of Map APIs. Making a model to extract spatial and attribute information from it can offer an easy solution for urban applications, without needing a separate collection of geospatial or attribute information. Google raster maps for city roads and surrounding buildings in UP are tried to be used to extract roads, buildings, vehicles, trees, etc. Various geometrical setups of vehicles in several similar road segments are tried classified using ML algorithms. Vehicular clusters in road segments are classified into 3 categories, high, medium, and low. Further characterized in terms of the range of noise spectra associated with it incorporating field data. These noise scenes are then utilized to predict the various types of simulated noise maps predicted around the road segments on an instantaneous scale, with an estimation of accuracy.
Nurse’s performance in hospital infection control and patient safety

This is an update article with the objective of highlighting the role of nurses in controlling hospital infection and patient safety, highlighting the fundamentals that guide the understanding of this phenomenon of indisputable epidemiological importance for health care. Method: This study is the result of a bibliographic investigation, where the knowledge produced on the theme was identified and analyzed through systematic literature review. Result: The nurse's important role in the development of infection prevention and control actions is highlighted as a strategy for implementing effective patient safety. Conclusion: The identified aspects are considered to contribute to reflections in the health care area, since they point out aspects of hospital infection control policies and practices with the potential to subsidize the integrality of patient safety. DESCRIPTORS: Hospital Infection; Prevention; Nurses; Patient Safety; Epidemiological Surveillance.
Effect Of Recovery Time After Match On Muscle Explosive Power On Football Athletes

Football is one of the most prestigious forms of sports that are in great demand by the public. Many football clubs that take part in the competition have a tight match schedule. This causes the recovery time for athletes to be short and lead to fatigue. The purpose of this study was to determine the effect of recovery time after the match on the explosive power of leg muscles in soccer athletes. This study was an experimental study with a pretest-posttest group design. The sampling method used was simple random sampling to get 40 research subjects divided into 2 groups, namely groups with recovery time of 2 days and groups with recovery time of 5 days. The assessment used is measurement of explosive limb muscle power using the vertical jump technique before and after receiving the recovery period. To test the normality of data using Shapiro-Wilk continued with the comparative data test in the form of an unpaired t test. The results of the study in groups with a recovery time of 2 days were worth -3.7cm and the group with a recovery time of 5 days was 2.9cm. These results were analyzed using unpaired t-test showing p value = 0,000 (p<0.05) which showed there were significant differences between the two groups. The conclusion of this study is that there is an effect of recovery time after the game on the leg muscle explosive power in soccer athletes. Recovery time of 5 days is better than 2 day after competition. It is very important to pay attention to recovery time in athletes, the recommendation of this study is a minimum of 5 days.
The Effect of Green Tea on the Expression of NPC1L1, ABCG5, and ABCG8 in the Intestine of High Fat Diets-induced Rats

BACKGROUND: Signaling pathways contributing to cholesterol efflux and inhibitory inflammation in atherosclerosis that has not been explored is the liver X receptor (LXR). Catechin as LXR agonist influences the expression of Niemann-pick C1 like 1 (NPC1L1) protein transporter that triggers the inhibition of cholesterol absorption. This study aimed to examine the effect of Catechins on the expression of intestinal transporters: NPC1L1, ATP-binding cassete-proteins G5 (ABCG5) and G8 (ABCG8).
The impact of different levels of nisin as a biopreservative agent on the chemical, sensory and microbiological quality of vacuum-packed sea bass (Dicentrarchus labrax) fillets stored at 4 ± 2 °C

Nisin is produced by Lactococcus lactis subsp. lactis and is also known as an antimicrobial agent especially effective against gram-positive bacteria. It has long been used as a preservative in foods and beverages and is generally regarded as safe (GRAS). In the present work, the effects of different concentrations of nisin (0.2, 0.4 and 0.8%) on the sensory, chemical and microbiological quality and shelf-life of vacuum-packed sea bass (Dicentrarchus labrax) fillets were investigated during chilled (4 ± 2 °C) storage. The sensory points for raw and cooked fillets increased with time during the storage period (p < 0.05). The control group, with scores of 9.08, was rejected by panelists on day 12; whereas nisin-treated groups were rejected on day 14 with scores ranging from 9.00-9.17 score. As a result of chemical analyses, lower values (p < 0.05) were obtained from the nisin groups with low oxidative rancidity. Moreover, nisin inhibited microbial growth, which shows antimicrobial activity. Consequently, it was concluded that the application of nisin (especially 0.8%) preserved the organoleptic quality and extended the shelf-life of sea bass fillets.
Influence of Substituting Sucrose with Date Palm Fruit Flour (DPFF) on the Nutritional and Organoleptic Properties of Bread

Article history: Received: May 7, 2019 Accepted: August 12, 2020 The influence of substituting sucrose with date palm fruit flour (DPFF) on the nutritional and sensory attributes in bread production was studied. Bread was baked in varying proportions of sucrose and date palm fruit flour as follows: (100% sucrose: 0% DPFF), (50% sucrose: 50% DPFF) and (0% sucrose: 100% DPFF). The results of proximate analysis showed that (100% sucrose: 0% DPFF) had 61.90% carbohydrate and fat (3.73%) contents significantly (p<0.05) higher than (50% sucrose: 50% DPFF) and (0% sucrose: 100% DPFF). The protein, ash and fiber contents of (0% sucrose: 100% DPFF) were 6.27, 3.67 and 2.03% higher (p<0.05) than (100% sucrose: 0% DPFF) and (50% sucrose: 50% DPFF), respectively. Result of mineral composition showed that (0% sucrose: 100% DPFF) scored highest in calcium, phosphorus, iron, zinc, copper and selenium while (100% sucrose: 0% DPFF) had least value with the exception of zinc and selenium where (100% sucrose: 0% DPFF) and (50% sucrose: 50% DPFF) have the same values (0.10 and 0.01 mg/100 g), respectively and not significantly different from one another. General acceptability was highest for (100% sucrose: 0% DPFF) followed in descending order by (0% sucrose: 100% DPFF) and (50% sucrose: 50% DPFF). However, the study recommend (0% sucrose: 100% DPFF) as sweetener for bread production above (100%: 0% sucrose) and (50%: 50% DPFF) because it provides wide range of essential nutrients with many potential health benefits. However, there should be public enlightenment on the nutritional importance of date palm fruit and inclusion of date palm fruit flour in Nigerian diet better than sugar as this will reduce malnutrition, increase employment and boost Nigerian economy.
Analysis of the factors affecting the application of critical thinking with the behavior of caring nurses in providing nursing care in RS Royal Prima Medan 2020

Background: Caring behavior is the core in nursing that is indispensable in providing nursing care. One of the ways to improve caring behavior is through the development of critical thinking skills. This study was conducted to determine the effect of applying critical thinking with caring behavior of nurses in providing nursing care at the Royal Prima hospital in Medan.Methods: This study was a quantitative study using correlation research methods with a cross sectional approach to 35 nurses at the Royal Prima hospital in Medan using a simple random sampling technique.Results: The results showed that there was a significant influence between critical thinking and nurse caring behavior (p=0.020; 0.05), the characteristics of respondents who had an effect on nurse caring behavior were training (p=0.025; 0.05), critical thinking variable was a the most influential factor with nurses' caring behavior (OR=3.590). Conclusions: Based on the results of this study the importance of developing new knowledge and skills to improve critical thinking skills and caring behavior.
A REVIEW OF THE ONE-PARAMETER DIVISION UNDISTORTION MODEL

The one-parameter division undistortion model by (Lenz, 1987) and (Fitzgibbon, 2001) is a simple radial distortion model with beneficial algebraic properties that allows to reason about some problems analytically that can only be handled numerically in other distortion models. One property of this distortion model is that straight lines in the undistorted image correspond to circles in the distorted image. These circles are fully described by their center point, as the radius can be calculated from the position of the center and the distortion parameter only. This publication collects the properties of this distortion model from several sources and reviews them. Moreover, we show in this publication that the space of this center is projectively isomorphic to the dual space of the undistorted image plane, i.e. its line space. Therefore, projective invariant measurements on the undistorted lines are possible by the according measurements on the centers of the distorted circles. As an example of application, we use this to find the metric distance of two parallel straight rails with known track gauge in a single uncalibrated camera image with significant radial distortion.
PARTICLE SWARM OPTIMIZATION FOR INVERSE KINEMATICS SOLUTION AND TRAJECTORY PLANNING OF 7-DOF AND 8-DOF ROBOT MANIPULATORS BASED ON UNIT QUATERNION REPRESENTATION

Finding the inverse kinematic solution of a serial manipulator has always attracted the attention of optimization enthusiasts, as the solution space is highly nonlinear and, depending on the number of degrees of freedom, has multiple solutions. In the literature, one can find several proposed solutions using heuristic techniques; however, for highly redundant manipulators, e.g., seven or more, the discussions focused on minimizing the positional error. In this paper, a metaheuristic approach is presented to solve not only the inverse kinematics of a 7 and 8 DOF manipulators but the proposed algorithm is used to find the robot’s poses for trajectory planning where the robot is required to meet the desired position and orientation based on quaternion representation of each point along the path. The metaheuristic approach used in this paper is particle swarm optimization (PSO), where the unit quaternion is used in the objective function to find the orientation error. The results prove that the use of the unit quaternion representation improved the performance of the algorithm and that our approach can be used not only for individual poses but for trajectory planning.
PANDEMICS AND DEVELOPMENT OF THE WORLD ECONOMY: A HYPOTHESIS OF CORRELATION

Coronavirus disease 2019-nCoV is a novel and highly transmissible infectious disease. However, in the history of human development, there have already been many infectious diseases that caused pandemics. Through a review of pandemics over centuries, the author tried to understand whether there was any correlation between the pandemics and the development of the world economy of the associated period. Although 2019-nCoV pandemic is deeply affected every country varying only in the degree, and the response measures taken by countries against the pandemic are also various, however, the pandemic has spread globally without exception; therefore, this study aims to call on to adopt a prevention strategy to face the new challenges ahead with a healthy rhythm of progressive globalization.
INTEGRATION OF MODERN TECHNOLOGY FOR ARCHITECTURAL-BUILDING GLASS PRODUCTION

The current state of technologies for the production of glass products used in the architectural and construction industry, types of the energy-saving float-glasses and their role in the lighting quality of the buildings was analyzed. The relevance of the use of Low-E glass, in particular in the glass units, is shown. Innovative trends in the production of sheet architectural and construction float glass with the use of modern technologies and equipment, in particular, at PJSC "Lysychansk glass factory "Proletary ", considered. It is established that a significant disadvantage of more energy-efficient I-glasses, which have a wide range of color characteristics, is the insufficient mechanical strength of soft coatings applied by magnetron vacuum spraying. It is shown that the technology of manufacturing low-emission I-glasses with such coatings does not allow them to be hardened while maintaining all the necessary operating parameters. Physicochemical properties and operational characteristics of large-sized glasses with silver, sunscreen soft coating, laminated, flat and radial tempered glasses, as well as their areas of application are presented. The principles of strengthening soft magnetron coatings for low-emission Double Low-E glasses and composition, layer combinations and technological parameters of multilayer nanocoatings with a total thickness of up to 140 nm, which allows to harden I-glass with these coatings, investigated. The technological parameters of obtaining low-emission I-glasses with variable coatings, which regulate the spectral and operational indicators of these glassware according to the interstate standards GOST EN 673-2016 and GOST EN 410-2014, are analyzed. Technological methods of the sheet glass with low-emission coatings hardening by creating of the special compositions and optimizing magnetron sputtering processes optimizing, as well as the basic regularities of the arrangement of the film layers of the Si3N4 / NiCr / Si3N4 film for the heat treatment withstanding of the glasses in the R2O – RO – SiO2 system are considered. The principles of adjusting their spectral and mechanical characteristics depending on the concentration and ratio of the components of the thin-film nanolayer, which will contribute to the creation of a variation series of float glasses with the required level of reflection in the infrared spectrum, are proposed.
An Overview on the Biosynthetic Pathways and Medicinal Values of Secondary Metabolites

Nature is a treasure hunt of novel molecules which are extensively used by humans for their medicinal values for millennia. Herbal medicines have emerged as life savers all over the world due to their multifunctional and diverse array of activities on the human body. Plants supply numerous bioactive molecules which are capable of treating disease conditions. Plants produce varieties of phytochemicals which are commonly recognized as primary and secondary metabolites. Secondary metabolites are inimitable resources for exploitation for pharmaceuticals, food additives e.t. c. They are often involved in the control of abiotic or biotic stress. They play distinctive roles in the defense mechanism of plants, act as insect repellant, regulate signaling pathways, and also exhibit varied range of pharmacological actions such as antibacterial, antioxidant, anticancer anti-diabetic and others. Secondary metabolites are derived from one or mixed pathways that give rise to formation of various compounds i.e., alkaloids, volatile oils, tannins, glycosides and resins etc. which have great importance in modern medicine. Isopentenyl diphosphate and Shikimic acid pathway serve as primary precursors for the synthesis some of types of secondary metabolites. The present review deals with the brief introduction, significance of secondary metabolites in the plants, biosynthetic pathways, and therapeutic importance of some commonly known secondary metabolites. Review Article
The Effect of Parental Rural-to-Urban Migration on Children’s Cognitive Skill Formation

Large-scale rural-to-urban economic migration in developing countries leaves millions of rural-origin children growing up separated from their migrant parents. Due to the limited parent-child interaction, parental migration poses developmental challenges for left-behind children. This paper develops a structural model of household migration to evaluate the effects of parental migration decisions on the dynamics of children’s cognitive skill formation from birth until the end of the developmental stage. I estimate the model using data from the Indonesian Family Life Survey via Simulated Maximum Likelihood. I find that children’s cognitive skill formation is sensitive to the duration of parental migration. Using the estimated model, I find that there is a 0.3 standard deviations increase in left-behind children’s skills at the end of the developmental stage had their parents not left. I also simulate a series of counterfactual migration policies. I show that migration policies that incentivize family migration with their children to urban destinations are effective in fostering children’s cognitive development.