Miracle-dz/UniFAR-FTUs huggingface dataset:
Bone Tumor Detection from MRI Images Using Machine Learning

- In the field of bio-medical, tumor detection in early stages is the trending research topic as most of the tumors indicates the early stages of cancer. A lot of work have been done on the tumor detection and identification. So, the point of discussion is to find out the identification and detection system which is fast and reliable. In this paper an approach of tumor detection using machine learning have been discussed and the data set for the performance analysis is MRI images. This paper specifically dedicated for the bone tumor detection. Also the algorithm have been implemented in openCV so as to make the system more fast and convenient.
Research Progress of Manganese-Based Catalysts in Low-Temperature Denitration

Low temperature denitration technology is a hotspot in recent years. Manganese-based catalysts are demonstrated to be most promising catalysts at low temperature. Many researchers have improved manganese-based catalysts from different aspects to meet the requirements of low-temperature catalysts. This paper attempts to review the progress of manganese-based catalysts from catalyst morphology, catalyst carriers, composite manganese-based catalysts and catalyst preparation methods in recent years, and the existing problems are also analyzed in the review.
Wireless Sensor Networks of PEGASIS-Based Communication Protocol Classification in Environmental Monitoring

A comparative research includes a protocol comparison based on certain parameters of performance. It allows researchers to gain insight into the different appropriate parameters with the protocols which ultimately lead to further advancement in the field. In the wireless sensor networks sector, improvements are taking place day after day. PEGASIS is a bond-oriented protocol for WSN routing. Some significant protocols based on PEGASIS architecture are studied in this document; PEGASIS, EEPB, IEEPB, PDCH, PEG-Ant, PEGASIS-PBCA, PEGASIS-IBCA, MH-PEGASIS, Multi-bond PEGASIS and Modified-PEGASIS are explored and comparison is made based on parameters that are essential to consider when selecting methodology for a specific implementation of WSNs
Sauropus androgynus (L.) Merrill-A Potentially Nutritive Functional Leafy-Vegetable

young tips of the plant are normally eaten like tropical asparagus, raw in the form of salads or steamed or alternatively added to stir-fry, rice and egg dishes, soups or casseroles, and sometimes blanched to serve with chilli paste. The rich vitamin content of the leaves has led to its popular name, ‘multivitamin green’ and has also been recorded as a tropical vegetable by the United States Department of Agriculture. The flowers and the small purplish fruits of the plant are also reported to be eaten. The present paper attempts to review the health-impact of the nutritive factors and other phytometabolites biosynthesized by this functional leafy-vegetable, in addition to its ethnomedical claims.
Predisposing Factors of Post-natal Depression

In this research, we study the predisposing factors of post-natal depression. This research is an applied survey which is done through participation. The data are collected through field study and by two types of questionnaire: depression questionnaire and demographic and midwifery questionnaire, the statistical society of this research were all the pregnant women of Kermanshah who have delivered their babies in summer of 2013 and then have moved to health care centers of Kermanshah. The sampling method was the cluster sampling and some clinics were picked from them randomly and then the available samples were collected. Data analysis was done by SPSS, descriptive statistical indices (frequency, Mean and standard deviation) and other comprehensive statistical indices (Pearson's correlation coefficient and independent group T-test. The hypotheses were accepted and we understood that the maternal midwifery factors (like number of pregnancies, types of deliveries and abortions), neonatal factors (like gender, nutrition), maternal factors (like age, occupation, and education) are related to the delivery of infant. All of these factors have many Items that are accepted before the analysis.
Effect of Adoption Pattern of Fertilizer Technology on Small Scale Farmer’s Productivity in Boluwaduro Local Government OLAGUNJU, Funke Iyabo and SALIMONU,

The use of appropriate land improvement / intensification technology seems to offer an opportunity to substantially increase farm production and income levels. Traditionally, Nigerian farmers have been using fertilizer primarily on commercial / export crops, but in recent years, an increasing quantity of fertilizers is being used on such food crops as rice, maize, wheat, yams and cassava. The study investigated the factors determining the adoption pattern of fertilizer technology on small scale farmer’s productivity in Boluwaduro Local Government Area. The specific objectives are to identify the socio economic characteristics of small scale farmers, to determine the factors affecting the intensity of use of fertilizer technology among the small scale farmers, to analyze and compare the gross margin of fertilizer users and non fertilizer users. Multistage sampling technique was used to select 65 respondents for fertilizer users and 55 respondents for non users from three (3) randomly selected towns and the needed data were collected with the means of structured questionnaire. The analytical techniques used were Descriptive, Gross margin and Tobit Regression Analysis. The results indicated that the average farm size of the respondents was about 2.4 hectares, with some having just about 0.47ha. The average capital and labour input per hectare were about N24, 242.25 and N32, 953.72 respectively. The result further indicated that the gross margin of fertilizer users is greater than that of non-fertilizer user and this implies that the use of fertilizer is profitable. Currently, the average amount of fertilizers applied by the farmers is less than the recommended dosage and that there is about 53% chances that an average small scale farmer would adopt the use of fertilizers. The expected level of adoption of fertilizers by those farmers on the limit E (Y) is 39.94, which implies that new adopters are expected to use about 40% of the recommended dosage of the appropriate fertilizer grade. Also, for farmers above the limit, the expected level of production E(Y*) of the recommended dosage of the appropriate fertilizer formulations is about 72%. A number of factors significantly influenced the fertilizer adoption decision of the farmers, namely, Distance (in km) of the farmers house from the fertilizer selling depot (p<0.05), Number of years of formal education of the farmer (p<0.05), fertilizer price /50kg bag (p<0.01), Number of contact with extension agents (p<0.01). [OLAGUNJU, Funke Iyabo and SALIMONU, Kabir Kayode. Effect of Adoption Pattern of Fertilizer Technology on Small Scale Farmer’s Productivity in Boluwaduro Local Government. World Rural Observations 2010;2(3):23-33]; ISSN: 1944-6543 (Print); ISSN: 1944-6551 (Online). http://www.sciencepub. net/rural.
Comparative Analysis of Query Optimization in the Object-Oriented Database & Relational Databases Using Clauses

— In this paper, we present an approach using database clauses that permits to enrich technique of query optimization existing in the object-oriented databases and the comparative analysis of query optimization for relational databases and object oriented database based on cost, cardinality and no of bytes. Focus is on queries using where, group-by and having clauses. Our experimental study shows that the improvement in the quality of plans is significant only with decrease in cost. Looking at the success of query optimization in the relational model, our approach inspires itself of these optimization techniques and enriched it so that they can support the new concepts introduced by the object oriented databases.
The Relationship Between Organizational Culture and Teachers’ Job Satisfaction of Ethiopian Orthodox Tewahido Church Schools in Addis Ababa

Ethiopia orthodox Tewahido church, in Addition to religious mission, participates in multidimensional developmental Activities. The church is currently involved in rendering education. The main purpose of this study was to examine the relationships between the pattern of organizational culture and teachers’ job satisfaction among employees in EOTC School. A sample of all teachers, who were working in the 2015-2016 academic year in EOTC school were taken for the study from the study school. Data regarding organizational culture and job satisfaction was collected using the OCAI (Cameron & Quinn, 2011), and JSS (Spectors, 1997) respectively. The data was then analyzed by using statistical package for the social sciences (SPSS) software, version 20. Two types of statistics, namely, descriptive and inferential statistics were employed. While the research was expected to leverage on such descriptive statistical tools as frequency, mean, percentile and standard division. The findings of the present study revealed that EOTC school tended to emphasize Clan culture (CC), being the dominant school culture which is characterized like an extended family, loyalty that have shares, values and goals and it focuses on mentoring, nurturing and doing things together. The results of this study also suggest that the CC has a very strong and positive significant influence on overall teacher’s job satisfaction and satisfaction with payment, opportunity for promotion, supervision, work itself and co-workers. The result of the study suggested that to shift to Adhocracy culture (AC), characterized by teachers to be innovative, creative and entrepreneurial.
P300 SPELLER WITH ENHANCED ACCURACY IN BRAIN COMPUTER INTERFACE

Communication channel connecting the brain to a computer or other electronic devices is nothing but brain computer interface (BCI). The information extraction from brain is a very demanding task. Brain signals are mixed with other signals or noises coming from a finite set of brain activities that overlap in both time and space. Electroencephalogram (EEG) has been the most popular signal that is used in developing BCI systems because of its low cost and convenience of use. Such systems may provide a complementary or alternative way for individuals with severe neuromuscular disorders to drive applications to extend their scope of mobility and, thus, improve their quality of life and independence. P300 wave is an event related potential which evoked in the process of decision making of human brain which can be generated using oddball paradigm. In this paper we are discussing a system for improving accuracy in P300 potentials. The main idea is to capture the signals from the brain for P300 BCI and after processing signals desired output can get with higher accuracy. The accuracy can be increased by filtering and classification algorithms such as Linear Discriminant Algorithm (LDA) and special filters.
A Spatio-Temporal Model

Over the course of time an organization working with geospatial data accumulates tons of data both in the form of vector and raster formats. This data is a result of co-ordinated processes within the organization and external sources such as other collabor organizations, projects and agencies, crowd sourcing efforts, etc. The massive amount of data accumulated as a result and the recent developments in the distributed processing of geo-data have catalyzed the development of our spatio-temporal data pro model. Our model is loosely based upon GS and uses dataset consisting of more than 300,000 shapefiles (a vector data format), which was accumulated over a span of several years from various sources and creation of custom geo government departments. The developed model provides access to visual representation, extraction of features and related attributes from over more than 800 GB of shapefile data containing ten of billions of features. In this paper, we model a spatial data infrastructure for processing such huge amount of geo-data.
Production of biosurfactants by microorganisms isolated from a mine tailing zone in Southern Mexico and their resistance to heavy metals

Tailings generated through mining processes often create leachates containing high concentrations of heavy metals such as As, Fe, Mn, Zn and Pb. These high concentrations of heavy metals result in environ-mental damage such as contamination of soil, groundwater and air, which represents a huge problem for individuals living near mining areas. An alternative for soil metal removal is microbiological processes including the production of biosurfactants, possibly a survival mechanism for adverse conditions of mine tailings and leachates. Moreover, mine tailings are materials that have attracted interest among researchers, because they can be exploited by innovative techniques like phytomining. In this study, we sampled the leachates of the “El fraile” mine tailings and identified 103 bacteria capable of growth on these leachates. We observed that 11 bacteria produce a high amount of biosurfactants and developed the multi-metal tolerance with higher concentration gradient of Pb, Cd, Cu, Fe, Zn and As. We showed that the bacteria tolerate 853 nM of As and up to 12 nM of Pb, 17 nM of Cd, 10.6 nM of Cu, 22 nM of Fe and 10.5 nM of Zn. We determined that the bacterial isolates clustered within five phylogenetic groups that were very close: Enterobacter, Klebsiella, Artherobacter, Pantoea and Solibacillus groups. A bank of strains resistant to heavy metals and producers of biosurfactants was obtained for future studies on the mechanism of absorption or assimilation of heavy metals and light was shed on the alternative use of these bacteria in bioremediation of metal pollution.
Microalbuminuria as an early marker of left ventricular hypertrophy in type 2 diabetes mellitus

Background: Microalbuminuria and left ventricular hypertrophy (LVH) have both been shown independently to be associated with increased cardiovascular (CVS) mortality in type 2 diabetes mellitus (DM) patients. This cross-sectional study was conducted to examine whether microalbuminuria is associated with LVH in non-hypertensive type 2 DM patients with early or no diabetic nephropathy. Methods: 100 patients of type 2 DM were studied. Patients with Hypertension (BP >140/90 mm hg or on anti-hypertensive medication), history of coronary artery disease or valvular heart disease, estimated glomerular filtration rate (eGFR) < 60 ml/min/1.73 m 2 , known thyroid disease or active urinary tract infection (UTI) were excluded from the study. All patients were subjected to spot urine test for microalbuminuria by urinary albumin creatinine ratio (UACR), 12 lead ECG to detect LVH, 2D echocardiography to calculate LV mass index (LVMI), anthropometry, urine routine examination, kidney function test, fasting lipid profile and HbA1c. Results: Of the 100 enrolled patients, 39 were found to have normoalbuminuria, 39 had microalbuminuria & 22 patients had macroalbuminuria. The correlation between increased albuminuria and LVMI was found to be statistically significant (P value < 0.001) and the LV mass significantly increased as albuminuria increased along the continuum of normoalbuminuria to macroalbuminuria. UACR showed a statistically significant correlation with age, eGFR, duration of diabetes (P value < 0.01) and HbA1c (P value < 0.05). Conclusions: Microalbuminuria is associated with LVH in non-hypertensive type 2 DM patients and thus may serve as an early marker of LVH and help identify patients at high CVS risk.
THE JOINT EFFECT OF THE COUNTRY SPECIFIC FACTORS AND COMPETITIVE STRATEGIES ON COMPETITIVE ADVANTAGE AMONG INSURANCE FIRMS IN NAIVASHA SUB-COUNTY-KENYA

The insurance business in Kenya is very competitive to the extent that insurance firms constantly must do critical reviews of their competitive strategies and country specific characteristics in a quest on how to gain competitive advantages. Despite Kenya’s insurance industry being highly regulated with a relatively level playing ground some insurance firms have a competitive advantage measured in terms of a better performance in terms of the Gross Written Premium (GWP) than others. It therefore remains unclear whether the differences in performance of insurance firms can be explained by the strategies employed for competitive advantage in the given country characteristics. The study objective was to evaluate the joint effects of country specific characteristics and competitive strategies on competitive advantage among insurance firms in Naivasha sub-county-Kenya. The study is based on Michael Porters strategies model which stipulate that product differentiation, cost leadership, and focus strategies should provide competitive advantage for a firm. The study targeted the branch staff of all the insurance firms in Naivasha Sub-county which build their firms' competitive advantage International Journal of Economics, Commerce and Management, United Kingdom Licensed under Creative Common Page 645 at a micro level. The study adopted both descriptive and census research designs where the entire population of 30 respondents from nine insurance firms was studied. Primary data was collected using questionnaires and analyzed results compared with the secondary data obtained from IRA and AKI journals. The study established that niche marketing at (t)= 4.994, β= . 465, country specific factors at (t)= 6.230, β= . 648, p<. 05.and product differentiation at (t)= 2.613, β= . 301, p<. 05 had a significant effect on the competitive advantage However, minimum premium strategy did not have a statistically significant effect on the overall competitive advantage (t)= 1.866, β = . 142, p>. 05). The study can be of benefit to Managers of insurance companies in determining the most appropriate strategy for gaining competitive advantage in the insurance industry.
Hand gesture recognition and voice conversion system for dumb people

— in our country around 2.78% of peoples are not able to speak (dumb). Their communications with others are only using the motion of their hands and expressions. We proposed a new technique called artificial speaking mouth for dumb people. It will be very helpful to them for conveying their thoughts to others. Some peoples are easily able to get the information from their motions. The remaining is not able to understand their way of conveying the message. In order to overcome the complexity the artificial mouth is introduced for the dumb peoples. This system is based on the motion sensor. According to dumb people, for every motion they have a meaning. That message is kept in a database. Likewise all templates are kept in the database. In the real time the template database is fed into a microcontroller and the motion sensor is fixed in their hand. For every action the motion sensors get accelerated and give the signal to the microcontroller. The microcontroller matches the motion with the database and produces the speech signal. The output of the system is using the speaker. By properly updating the database the dumb will speak like a normal person using the artificial mouth. The system also includes a text to speech conversion (TTS) block that interprets the matched gestures.
Why Customers Switch the Service Provider? A Critical Issue

Intention to switch from one service provider to another, leads to switching behavior, which results in the decrease of profits of the company. Switching behavior helps in creating relationship between consumer and producer. This study uses the theory of planned behavior to develop a unifying framework for understanding the factors that influence consumers’ switching behaviors. An empirical investigation tested the proposed model with data from 1051 customer who used the service of travel agencies. Results indicate that the theory of planned model fits the data well. Perceived behavior control, attitude toward the switching, and subjective norms all significantly influence switching intentions. Perceived behavior control also significantly influence switching behavior.
ANTIBACTERIAL ACTIVITY OF ZINC SULPHATE AND SILVER NITRATE AGAINST HUMAN PATHOGENIC BACTERIA

Metals enroutes various metabolic pathways forming the enzymatic suffixes, permeability indices or chelates of plasma. Through these entities either they promote or decline the metabolic activity depending upon the metal and targeted organism. In the present study the antimicrobial activity of zinc sulphate and silver nitrate was evaluated against human pathogenic Staphylococcus aureus, Klebsiella pneumoniae and Escherichia coli. The antimicrobial assay was performed by agar well diffusion method. The minimum inhibitory concentration (MIC) of zinc sulphate was observed to be the lowest for Escherichia coli i.e. 1.2±0.035mg/ml and of silver nitrate was lowest against Staphylococcus aureus i.e.0.05±0.035. Both metal salts exhibited good antimicrobial performances. The bactericidal effect and a broad activity spectrum of these compounds reveal their scope as suitable candidates for the higher step of drugs fabrication.
A Diagnostic Analysis of Tropical Cyclone Track over Indian Ocean

One of the natural hazards that largely damages the lives and property of the humans is Tropical Cyclones. Prediction and understanding of tropical cyclones is complication due to the fluctuations in the frequency and intensity; therefore understanding and predicting tropical cyclones track, intensity, and landfall location is of both societal and scientific significance. In this study to analyze the tropical cyclone track a data-mining approach is used. Basically, the Indian coast line is divided into three zones viz., southern zone, central zone and northern zone in the side adjoining Bay of Bengal and adjoining Arabian Sea. The coastal areas of India are too vulnerable for disaster due to maximum number of landfall of Tropical Cyclones. The track and landfall associated with all the cyclones are clustered based on their zones of landfall location. An analysis of landfall location of track is separately carried out for the pre-monsoon and post-monsoon period. Algorithms for categorization of intensity are also developed, trend analysis of track have also been studied. One of the important objectives of the present work is the identification of most disaster prone coastal area.
Nano Technology in Concrete- A Brief Review

Concrete is the most consumed material in construction field. Therefore, continuous research is conducted to enhance the properties of concrete. Nanotechnology refers to the study of structures between 1 Nanometer (nm) and 100 Nanometers in size. It is also broadly used in various fields of biomedical, robotics, electronics. Incorporating Nanotechnology in concrete to enhance its properties is one of the most dynamic research areas today. This paper discuss and reviews the studies performed so far on Nanotechnology in concrete by the use of Nano materials like Nano silica, Nano TiO2, Nano Al2O3, Nano Fe2O3, Nano Zr02 in concrete as a partial replacement of cement. The impact of Nano materials on the properties of concrete is studied. Various Nano materials that are used in concrete are briefly explained and the comparison of their effect on concrete is discussed in this paper. This review work will help in better understanding of application of Nanotechnology in concrete.