Miracle-dz/UniFAR-FTUs huggingface dataset:
Renewable Energy Based System Using IoT

Bridge safety monitoring system based on IOT this is a wireless technology. In this system we can install the monitoring devices in the bridge. This monitoring device helps to connect the communication devices to a cloud-based server. we use cloud-based server here because it helps to calculates and analyses the data which sent to monitor. Bridge monitoring system can monitor, analyse bridge conditions and their environment and also detect the nearby water levels, vibration and other safety features. Through the telecommunication devices information obtained is transferred to user. In our cities many of the bridges are built on the river that can be reduced their lifetime has expired but it’s still in use.
Efficacy and Safety of Gastric Greater Curvature Plication Compared with Sleeve Gastrectomy: Systemic Review and Meta-Analysis

Background: Obesity has become one of the common health problems affecting people with significant morbidity and mortality. Manage effectively by bariatric surgeries. Objectives: The aim of our review is to collect and analyze available data from controlled studies to assess the effectiveness and safety of laparoscopic greater curvature plication in comparison to laparoscopic sleeve gastrectomy. Materials and Methods: MEDLINE, EMBASE, and Cochrane collaboration library were searched until July 2020 for literature published. Results: Sixteen articles were eligible for inclusion comprising a total of 1313 patients, of whom 601 had undergone LGCP and 712 LSG. The percentage of excess weight loss (%EWL) was significant favors sleeve in RCTs at 6 months and 12 months with mean difference -5.37 and -10.56 respectively, and for observational studies at 6 months and 12 months with mean difference -12.43 and -14.81 respectively. Plication was associated with a non-significant lower risk of leakage (OR 0.31) and of bleeding (OR 0.35). Reoperation was more in plication than sleeve in both RCTs and in observational studies, (OR 2.27 and 1.73), respectively. No significant difference was observed regarding hospital course, except for operation time in RCTs which is in favors to Plication while in observation in favors to sleeve. The Type 2 Diabetes Mellitus (T2DM) and hypertension remission were un-significantly different between both procedures. Conclusion: This systematic review suggests that plication is less effective to sleeve in terms of weight reduction, but comparable in terms of complications and hospital course. However, unless there is emerging a new promising result, plication procedures should be disparaged.
A Prediction of Corona Disease Transmission Using A Traditional Machine Learning Approach

In this current scenario, covid pandemic breaks analysis is becoming popular among the researchers. The various data sources from the different countries analyzed to predict the possibility of coronavirus transition from one person to another person. The datasets are not providing more information about the causes of the corona. Many authors provided the solution by using chest X-ray and CT images to predict the corona. In this paper, the covid pandemic transition process from one person to another person was classified using traditional machine learning algorithms. The input labels are encoded and transformed, utilizing the label encoder technique. The XG boost algorithm was outperformed all the other algorithms with overall accuracy and F1-measure of 99%. The Naive Bayes algorithm provides 100% accuracy, precision, recall, and F1-Score due to its improved ability to handle lower datasets.
An Application of the Generalized Poisson Model for Over Dispersion Data on The Number of Strikes Between 1984 and 2017

Poisson regression analysis is widely used in many studies including count data. Poisson regression analysis is based on the assumption of equal mean and variance. However, this assumption is quite difficult in regression models. In cases where the assumption is not provided, over dispersion or under dispersion occurs. Over dispersion in data occurs when the variance of the dependent variable is greater than the average. This results in lower estimates than the standard errors. The generalized Poisson regression model is one of the methods used in case of over dispersion. This model is a generalization of Poisson regression. In this study, Poisson regression and generalized Poisson regression methods were used in the modeling of count data for determinants of strikes between 1984 and 2017. According to empirical results, while all explanatory variables of the Poisson regression model were significant, the unemployment rate was found to be insignificant for the generalized Poisson regression model. This result was evaluated considering the structure of the data.
Crystal Growth, Optical and Mechanical study of Ammonium Dihydrogen Orthophosphate-A Single Crystal M.Mohana and R.Muraleedharan

1.Introduction Nonlinear optics plays an important role in the emerging photonic and optoelectronic technologies [1, 2]. NLO materials find wide application in the area of laser technology, optical communication and the optical storage technology [3, 4]. The search for new and efficient NLO materials has resulted in the development of many inorganic NLO materials [5, 9]. The ADOP single crystals were grown with good optical and mechanical strength.
Synthesis, Characterization and Antibacterial Activity Studies on Some Fluorine-Containing Quinoline-4-carboxylic Acids and Their Derivatives.

A series of 3-substituted-1,2,4-triazolo[3,4-b]-l,3,4-thiadiazol-6-yl-2-(2,4-dichloro-5-fluorophenyl)quinolines 5 have been synthesized by the condensation of hitherto unreported quinoline-4-carboxylic acids 3 with various 3-substituted-4-amino-5-mercaplo-l,2,4-triazoles 4. The structures of newly synthesized compounds have been confirmed on the basis of elemental analysis, IR, 1 H NMR and mass spectral data. The newly synthesized compounds are evaluated for their antibacterial activities.
A DFT Study of a Novel C12H12Cl12O12 Crystal as a Promising Anti-Virus

Coronaviruses (CoVs) such as α-CoVs, β-CoVs, and COVID19 are a wide group of viruses that include viruses that can cause a group of disorders in humans, ranging from a common cold to severe acute respiratory syndrome. Given the diffculties the world is experiencing in the face of the Coronavirus, which has spread from China, everyone is trying to find an antibiotic and reduce its spread, but to the extent that there is no effective vaccine. Crystals have widely employed to increase medication properties. Using density functional theory, we investigate the structural properties of a novel crystal, i.e., C12H12Cl12O12 as a promising antibiotic to destroy Coronavirus. Using AIMD calculations, we show that this compound is dynamically stable. We believe that this new crystal can kill one of the membranes present in the COVID-19 in the first stage. This allows entering the rest of the crystal components and destroying the ribose of this pandemic as the second stage.
The effect of CO 2 loading on the flow behaviour of amine and water mixtures

The understanding of flow behaviour of liquid is essential in chemical engineering applications in many aspects such as equipment design, process modelling and simulations. This study examines the effect of the presence of CO2 in amine + H2O mixtures of monoethanol amine (MEA) + H2O and 2-amino-2-methyl-1-propanol (AMP) + MEA + H2O. The relationship between shear stress and shear rate was investigated under different shear rates for both aqueous amine and CO2 loaded aqueous amine mixtures. The study reveals that considered mixtures behave according to the Newtonian fluids indicating that the presence of CO2 has a minimum effect on CO2 loaded aqueous amine mixtures. INTRODUCTION The viscosity of liquid mixtures is important in chemical engineering applications as they are used in heat and mass transfer correlations in industrial processes. In post-combustion CO2 capture, viscosity data are involved in process simulations and design of the absorber-desorber system. The correlations are required to use the measured viscosities to perform engineering calculations for the design and mathematical modelling of the absorber column. Understanding of the flow behaviour of amine + H2O + CO2 mixtures leads to the development of theoretical viscosity models with high accuracy. Semi-theoretical models like Eyring’s viscosity model based on absolute rate theory provide a theoretical basis for the viscosity with a parameter to correlate with measured viscosities. Eyring pointed out that the individual molecules in a liquid at rest undergo rearrangements through molecular movements. These motions lay the foundation of the viscosity model by introducing the term of free energy of activation for viscous flow. This parameter is useful to extract the thermodynamic and structural information of pure and liquid mixtures. The proportionality between shear stress and shear rate was assumed in the model derivation. The increase of CO2 concentration in aqueous amine mixtures increases the viscosity. The studies performed by Weiland et al. and Hartono et al. show the viscosity variations with amine concentration, CO2 loading and temperature in different amine + H2O + CO2 mixtures. Amine + H2O + CO2 solution is a mixture of various ions with carbamates, bicarbonates and protonated amines. The ionic strength of the mixture increases with the increase of dissolved CO2 and at the same time solution pH decreases. Matin et al. explained how the increase of CO2 loading could affect the viscosity in the solution. At higher CO2 loadings, the ionic strength is high and the solution has a greater polarity. This could lead to cluster formation, higher viscosity and even phase separation. The effect of CO2 loading on the flow behaviour of amine and water mixtures Sumudu S. Karunarathne, Dag A. Eimer, and Lars E. Øi University of South-Eastern Norway, Norway ANNUAL TRANSACTIONS OF THE NORDIC RHEOLOGY SOCIETY, VOL. 27, 2019
Removal of Heavy Metals Cr (VI), Cd (II) and Ni (II) from Aqueous Solution by Bioabsorbtion of Elaeagnus Angustifolia

The problem of removing pollutants from water is an important process and is becoming moreimportant with the increasing of industrial activities. One of the most important environmental problems iswater resources pollution by Heavy metals. Bioabsorbtion is affordable adsorbents for the removal of heavymetals from aqueous solutions. This study explores the adsorption potential of Cr (VI), Cd (II) and Ni (II) by Elaeagnus angustifolia fruit powder in aqueous solution. The influences of several main parameters such as pH value of solution, sorbent amount, initial metal ion concentration, and contact time in batch experiments have been studied. The adsorption was depended on pH, adsorbent dosage, and contact time. Maximum removal of Cr (VI), Cd (II) and Ni (II) were obtained 7.19mg/g, 2.42 mg/g and 1.97 mg/g respectively. Adsorption isotherms were compared with both Langmuir and Freundlich adsorption models. The experimental data best fit with the Langmuir isotherm model. Experimental results show natural biosorbent was effective for the removal of pollutants from aqueous solution.
Implementation of data glove using 9-axis IMUS for gestures recognition and biomimetic robot hand control

Human – computer interactions have been the center of many recent scientific researches due to many potential applications. Among such interactions, hand movements have always been regarded as one of the most desirable research trends. Albeit having been in development for over three decades, the research in capturing hand gestures and movements, along with its applications, are still in need of refinement. This research utilizes a model of a modular data glove with 9-axis inertial measurement units (IMU), proposed in [1], to capture hand motions and subsequently, to employ the collected data on two applications: imitating human palm movement in a virtual reality (VR) environment and applying AI techniques to interpreting sign languages into alphabetic letters. The successful results prove great potential for using the gloves as a fast, accurate, light-weight and cost-effective tool in hand motion capture.
On Work Relevance of Adult Education: A Case Study
 Narrative

There is an increased focus on relevance of higher education. Mostly it is about enhanced job opportunities or job advancements for the individual. However, relevance of higher education may also be towards solving important issues or problems at a workplace. There are some necessary preconditions as to how an educational activity becomes relevant. Firstly, the student must be capable to discover how generic knowledge and acquired skills may or may not apply to concrete situations at work. This requires experience, understanding of the norms and culture of the organisation and a certain form of practical intelligence. Secondly, the conditions at work place must be conducive to innovation and change in various ways. In this article, we present a case study where employee turnover and lack of effective training routines were a major efficiency constraint in a Norwegian firm. With constant competition, changes in markets and other factors that influence the sustainability of an organization, cutting costs, such as high turnover and the time from being newcomer to being fully operative in the job. The responsible for training activities in the firm realized that additional formal education at the higher education level was needed, and he decided to enrol in a Knowledge Management study program at The Inland Norway University of Applied Sciences in order to learn how he could improve knowledge management and learning processes of new employees at his workplace. The case study ultimately demonstrates how crucial the interplay between content and form of education on one hand and specific conditions facilitating changes and improvements at work on the other is for the relevance in formal higher education narrative.
Passion in sports: A comparative study of male and female athletes

Aim: The Aim of this study is to assess level of Passion in sports between male and female athletes at intercollegiate level of Mansa District Methodology: For present research work a sample of 25 male athletes and 25 female athletes of Mansa district were selected. Tools: To evaluate the passion between athletes Passion scale designed by Vallerand, R.J., Blanchard, C.M. , Mageau, G.A. , Koestner, R. , Ratelle, C. , Léonard, M. , Gagné, M. , & Marsolais, J. (2003) was used to assess the passion among athletes. Statistical analysis: To find out the relationship among the research variables exists or not, ttest was used to test the significance of difference between the variables. Statistics for each characteristic were calculated; Mean, Standard deviation, Standard error of Mean. Data was analysed using SPSS (Statistical package for the social sciences). Statistical significance was set at p < 0.05. Results: significant difference exist between male and female athletes on overall passion scale. Nonsignificant differences exist on harmonious passion scale and on passion criterion between male and female athletes. On obsessive passion significant difference exist between male and female athletes. Conclusion: Passion helps in choosing and engaging individual in sports activity without passion the interest in sports become useless. Passion adds zeal in sports activity.
Production and Quality Evaluation of Mixed Juice Blend from Soursop (Annona muricata), Mango (Mangifera indica) and Watermelon (Citrullus lanatus)

Aims: To evaluate the chemical, microbiological, physico-chemical and sensory properties of fruit juice produced from blends of soursop, mango and watermelon. Study Design: The data obtained were analyzed using statistical package for social science (SPSS) version 20. The mean and standard deviation were calculated using analysis of variance. Means were separated by Duncan’s new multiple range test. Place and Duration of Study: The study took place at the Department of Food Science and Technology, University of Nigeria, Nsukka between January and July, 2016. Methodology Juices extracted from Soursop Mango and Watermelon (designated as S, M and W respectively) were blended to give samples containing soursop, mango and watermelon juices in the ratio of 60:25:15, 15:60:25, 25:15:60 and 33.3:33.3:33.3, respectively. The samples were processed, bottled and analyzed for proximate, phytochemical and micronutrients composition, physico-chemical, microbial and sensory qualities using standard methods. Results: There were significant (p < 0.05) differences in the proximate composition, micro-nutrient Original Research Article Arum and Ani; AFSJ, 19(4): 25-41, 2020; Article no.AFSJ. 64061 26 and phytochemical composition of the mixed fruit juice blend. The moisture content, ash content, crude fiber, crude fat, crude protein and carbohydrate ranged from 85.0 to 90.03%, 0.14 to 0.6%, 0.95 to 2.94%, 0.19 to 0.44%, 0.75 to 1.72% and 7.23 to 11.48% respectively. pH, brix and Titratable acidity of samples varied significantly (p < 0.05) and ranged from 5.92 to 6.11%, 8.85 to 12.80% and 0.38 to 0.69% respectively. The flavonoid, total phenol and pro-vitamin A contents of the blends ranged from 9.14 to11.04%, 0.3 to 0.5% and 13.01 to 72.9% respectively. Vitamin C, potassium and calcium contents ranged from 28.25 to 41.75 mg/100ml, 108.32 to 168.92 mg/100 ml and 7.05 to 12.69 mg/100 ml respectively. The microbial results showed that total viable count found present in the mixed fruit juice blended samples ranged from 3.0 x 101 to 9.0 x 101. The sensory scores showed that all the samples were generally accepted while sample which had equal proportions of the individual juices had the highest overall acceptability due to the homogeneity, luscious taste, appearance and consistency of the blend. The overall results showed that improving the quality and availability of fruit and fruit products through processing will raise consumer awareness, boost fruit consumption and improve health, check post-harvest losses and harness the therapeutic advantages of fruits. Blending of soursop, mango and watermelon juices in varying proportions produced acceptable juice that compared favorably with a commercial mixed juice blend in terms of vitamins C and pro-vitamin A content, total sugar, brix content and acidity.
Observation of deuterium quadrupole splittings of aromatic free radicals in liquid crystals by ENDOR and TRIPLE resonance

First measurements of deuterium quadrupole coupling constants of a polyatomic doublet state radical are reported. The quadrupole couplings were determined by ENDOR and electron–nuclear–nuclear TRIPLE resonance in liquid crystals. For the partially deuterated perinaphthenyl radical the out‐of‐plane component of the deuterium quadrupole coupling was measured to be e2q33Q/h =−(94±3) kHz for both molecular sites. Within experimental error these values are equal to those measured earlier for deuterated alternant hydrocarbons in the diamagnetic singlet ground state.
Nutrients, antinutrients and amino acids profile of malted quality protein maize (Zea Mays L.) based ready-to-eat breakfast cereal fortified with vegetable biomaterials

Article history: Received: May 15, 2020 Accepted: June 30, 2020 Breakfast cereal was formulated from malted quality protein maize fortified with cowpea and garden egg with the view to producing a breakfast cereal of high nutrient density. The biomaterials were processed using standard methods to flour samples and blended at various ratios. The blended samples were pregelatinized, flaked, toasted and packaged. The flour and products were analysed for proximate, minerals, anti-nutrients, amino acids profile and dietary fibre using standard methods. The results showed that, as more garden egg was added, protein (9.94 10.67 %), fat (4.84 6.12 %) and fibre (4.19 7.07 %) increased. The amino acids profile recorded a boost with addition of cowpea but reduced with garden egg. The tannin (0.55 0.66 %), alkaloids (0.01 1.49 %), soluble (7.04 10.50 %) and insoluble fibre (23.38 30.50 %) increased with garden egg increase. However, the mineral content reduced with addition of garden egg. The study concluded that inclusion of cowpea and garden egg to breakfast cereal formulation boosted the nutritional value.
Applying Integrated Grey System Theory and Sensor Technology to Study Influence of Cutting Conditions on Thermal Error Modeling of Machine Tools

To produce a good machine tool, the thermally induced error in the machine during machining plays a crucial role and is an important issue needing to be resolved. The thermal error may account for 70% of the total error. There are three main approaches to solving the thermal error problem: preventing heat flows from hot components, designing a thermally stable structure for the machine, and compensating the thermal error using thermal error models. The first two approaches can be carried out in the primary design stage of machine tools, and they have been used in the manufacture of commercial products. The third approach, the strategy of thermal error compensation, is the most effective and popular approach. However, there are still many unsolved problems. Among these problems, the cutting conditions have a significant influence on the modeling precision of the thermal error. In this study, we develop an integral model based on the integrated grey system theory (IGST) in conjunction with a genetic-algorithm (GA)-optimized back-propagation neural network (BPNN) to investigate the influence of cutting conditions on a machine tool’s thermal error. The model is chosen on account of its high ability in dealing with a small amount of training data. Results show that a single thermal error modeling formula cannot make accurate predictions for different cutting conditions. Suitable adjustment of the modeling parameters or the use of a multiple modeling scheme is needed.
EXPENDITURE EFFICIENCY AND FISCAL SIZE: AN EMPIRICAL EVIDENCE FROM DEVELOPING ASIAN COUNTRIES

Efficiency of government expenditures has a significant role in achieving macroeconomic policy goals of the government. This research empirically investigates the relationship between efficiency of government expenditures and fiscal size. Performance of government sector in nineteen developing Asian countries is analyzed for six policy areas including administration, health, education, infrastructure, economic performance and economic stability. Results of the study show that medium-sized governments are relatively more efficient in all public policy areas as compared to large-sized government. There is a need to curtail wasteful expenditures and divert government resources towards sectors that strengthen market forces and help to create equal opportunities for the people.