Peer-reviewed international research papers published open-access with EOI assignment and global indexing across engineering, computer science, environmental science, social sciences, and more.
This research report aims to identify the best connectivity model for schools in Sri Lanka. With the rapid advancement of technology and the increasing importance of digital learning, reliable and efficient connectivity is crucial for educational institutions. This report examines various connectivity options, including wired and wireless solutions, and evaluates their suitability for Sri Lankan schools based on factors such as affordability, accessibility, scalability, and sustainability. The findings of this research will provide valuable insights to policymakers, educational institutions, and other stakeholders involved in enhancing connectivity infrastructure for schools in Sri Lanka. Sri Lanka has undergone a significant transformation in its education system over the years, and technology has played a vital role in shaping the educational landscape. However, the access to technology and connectivity in Sri Lankan schools is still a challenge. The aim of this research paper is to identify and evaluate the best connectivity solution for Sri Lankan schools that can provide reliable and affordable internet connectivity. The study will utilize a mixed-methods approach, including surveys, interviews, and case studies, to collect data from various stakeholders, including teachers, students, parents, and educational policymakers. The study will focus on four main areas: the current state of connectivity in Sri Lankan schools, the potential solutions for connectivity, the evaluation of the identified solutions, and the recommendations for implementing the best connectivity solution.
Addressing the various challenges of integrating entrepreneurship into the secondary school curriculum in Zanzibar is the main focus of this study. The aim is to identify and implement solutions that can enhance the integration of entrepreneurship education. In order to gather data, a mixed methods approach was employed, which included the use of questionnaires, focus group discussions, and interviews A sample of 67 respondents was selected for the study, consisting of 30 students, 30 teachers, 6 head teachers, and 1 educational officer. The sampling techniques used were stratified sampling for the students in their respective classes, and purposive sampling for the selection of teachers, head teachers, and the educational officer. Interviews were conducted with head teachers and the educational officer, while focus group discussions and questionnaires were administered to students and teachers, respectively The collected data from the questionnaires was analyzed using the Statistical Package for Social Sciences (SPSS) version 20, employing descriptive and quantitative statistics such as frequencies and percentages. For the data collected through interviews and focus group discussions, both descriptive and quantitative statistics were used for analysis. To overcome the challenges identified, the study suggests several measures. These include the development of the curriculum, implementation of appropriate teaching methods, creating an entrepreneurial environment, involving relevant individuals, focusing on desired outcomes, incorporating real-life experiences, and continuous evaluation and improvement. Furthermore, study recommended that the government should provide support, including the provision of training for entrepreneurship subject teachers, to ensure the successful execution of the program and maximize its impact on students' entrepreneurial skills and mindset.
This study aims to determine and analyze (1) passenger assessment of performance in ship services at Kendari Port, and (2) application of performance standards in ship services at Kendari Port. The informants in this study were eleven people. The analysis tool used is the Analysis Interactive Model from Miles and Huberman, which divides the steps in data analysis activities into several parts, namely data collection, data reduction, data display, and data withdrawal. Conclusions or verification (conclusions). Based on the results of the study it can be concluded that (1) Passengers' assessment of performance in ship services at Kendari Port is considered good, and (2) the application of performance standards in ship services at the Port of Kendari is under the performance standards of port operations according to Regulation of the Director General of Sea Transportation No. HK.103/2/18/DJPL16 concerning port operational service performance standards.
Insecurity is one of, if not the most glaring and much talked about thing in Nigeria today. Acts of insecurity occur on daily basis throughout the country. Right thinking and sane Nigerians are really concerned about this ugly trend. Food is an essential need of every living being on earth irrespective of age, race and colour. In recent times food security has become a major issue among countries in the world. Nigeria is a country blessed with different mineral deposits, but due to neglect in agriculture and more interest in oil exploration, Nigeria has suffered a great loss in the area of food production. Due various insecurity problems in Nigeria, ranging from kidnappings, killings of farmers in their farms by herders, destruction of farm lands by herds men, most young men that are supposed to engage in agriculture has migrated to other communities to seek refuge and safety and also in search of a better means of livelihood. This paper assesses the effects of insecurity in Ibarapa North Local Government Area on the food security in the area. The effects of insecurity are also under development, poverty, hunger, insurgency, militancy, youth restiveness, kidnapping,armed robbery, fear, drug abuse, and political thuggery.
Mangrove crab (Scylla sp) is one of the leading fishery commodities in Waropen Regency which has quite high economic value and is typically associated with mangrove ecosystems so that the existence and sustainability of mangrove ecosystems has a serious impact on the existence of mangrove crab populations. This study aims to examine the condition of the ecological quality of mud crab (Scylla sp) habitat in the mangrove ecosystem of Waropen Regency which stretches from Masirei District to Wapoga District. Collecting eco-logical data using the point quarter technique method and collecting mud crab data using a catch survey method using a purposive random sampling method using a folding trap. The results showed that the mud crab (Scylla sp) habitat quality index (IKH) ranged from 18-90 which was in the "good" category (Index value 68-90) with an area of 21,818.60 hectare and "moderate" (Index value 44- 66) with an area of 673.58 hectare. Ecologically, the mangrove ecosystem of Waropen Regency is good enough to support the surviv-al of mangrove crabs
Transportation, particularly marine roadways, is critical to a country's development. On the other hand, ship accidents remain a worry, needing adherence to safety regulations and routine inspections. The quality of survey reports is critical for ensuring marine safety and security. The influence of workload and competency on report quality is investigated in this conceptual research, with performance functioning as a mediator between the three factors. The research focuses on marine consulting organizations, namely PT. Makara Jaya Marine, where high-quality reports are essential. Workload and competency are key determinants influencing report quality, with performance demonstrating a mediating role in these interactions. The study employs a quantitative method, with data collected using a Likert scale questionnaire and analyzed using SPSS software. The conceptual model sheds light on improving report quality and staff performance in the marine sector.
Total Quality Management (TQM) has become the preferred approach for improving productivity in organizations and the concept of work engagement has emerged due to the focus on optimal functioning in the work context. The purpose of this non-experimental quantitative study is to determine which domain of Total Quality Management using Baldrige Education Criteria best influences work engagement. The 182 permanent non-teaching staff of University of Southern Mindanao, Kabacan, Cotabato were chosen as respondents using universal sampling technique. Results revealed that there were high levels of employees’ feelings both towards the two measures which are the TQM and employee engagement. Further, findings showed that there was a significant relationship between measures and among the indicators of TQM, only leadership best predicts employees’ work engagement. The study concluded that leadership is a key element for institution to shape its’ future towards achieving the vision of making employee engaged and productive.
Can a new senior manager of an organisation be able to bring out 100% productivity of its employees? We shall see how possible this can be by combining different leadership and management styles in order to bring out all the potentials from the employees. The big question is; can this be possible? Here we will examine the different leadership styles and theories together with the management styles and see the best combination that can enhance 100% productivity of Employees. Managing and sustaining a company as a new manager and bringing out 100% of employees’ productivity is not an easy task but is very possible if the senior manager does the right combination and remain dynamic and flexible throughout. we will also discover that no permanent style of leadership or management is permanent in this modern system of management in this new era of internet of the 21st century. It needs to be flexible all the time and these changes should be due to the reality and state of business at that particular time. We will conclude by examining other aspects that are necessary for productivity to be 100%, which are; organisation vision, culture, ethical practices, developing human capital and core competencies (strategic advantages). This study ends by proving that 100% productivity/sustainability is possible if the new senior manager has leadership qualities and combines them well, and taking into consideration flexibility and dynamism.
In this study, clean-catch midstream urine of patients with clinical symptoms were sampled from patients attending Specialist Hospital Bauchi. Urine specimens were cultured for isolation of the microbial agents of urinary tract infection (UTI). The isolated bacteria were identified using biochemical test and Disk diffusion susceptibility test were used to determine the susceptibility of bacterial agents to antibiotics. Out of the 123 samples collected, 37 yielded no growth while 86 yielded growth. The total bacteria isolated were 91 isolates because some samples yielded multiple bacteria. Staphylococcus aureus 26 (28.6%) were the commonest pathogen isolated followed by Klebsiella spp 25 (27.5%), Escherichia coli 18 (19.8%), diptheriod 7 (7.7%), Candida spp 6 (6.6%) followed by coagulase negative Staphylococus 3 (3.3%), Streptococcus spp 3 (3.3%), Proteus spp 2 (2.2%) and Pseudomonas 1 (1.1%) as the least. Staphylococcus aureus showed high sensitivity to Chloramphanicol (69.2%) and Klebsiella spp revealed high sensitivity to streptomycin (24.0%). Staphylococcus aureus was most resistant to cloxacillin, ampiclox and amoxicillin while Klebsiella spp was most resistant to augumentin. UTI was more prevalent among female (70.6%) than male (29.6%). This study justifies the resistance pattern of some microorganisms isolated from patients with UTIs.
Leaf and fruit extract against Calotropis procera were screened for its phytochemical and antimicrobial activities. Ethanolic and aqueous solvents were used for the leaf and fruit extraction. The extracts were tested against Streptococcus pneumonia, Salmonella typhi and Tinea corporis using agar diffusion method. The result revealed that the C. procera leaf and fruit aqueous extract had higher antimicrobial properties than the ethanol extract. The result of the antimicrobial activity also revealed that the leaf extracts had higher antimicrobial activity against the microorganisms than the fruit. The aqueous-leaf extract revealed highest inhibitory potency against Streptococcus pneumonia (17±4.1mm to 30±5.5mm) and Salmonella typhi (14±3.7mm to 28±5.3mm) while the aqueous- fruit, had Streptococcus pneumonia (13±3.6mm to 29±5.4mm) and Salmonella typhi (14±3.7mm to 28±5.3mm). This result also revealed that Gram-positive organism (Streptococcus pneumonia) was more susceptible to the extracts than the gram-negative (Salmonella typhi). The minimum inhibitory concentrations (MIC) of extracts on bacteria and fungi isolates were between 12.5mg/ml and 100mg/ml. Minimum bactericidal concentration (MBC) and fungicidal concentration (MFC) of the extracts were mostly at 50% on the employed test organisms. The result of phytochemical analysis revealed that the leaf extracts had higher quantities of bioactive constituents than the fruit. Alkaloids (44.03±0mg/g) and tannin (35.5±0mg/g) had the highest values in the leaf while alkaloids and saponin were absent in fruit which had cardiac glycosides (12.37±0.0mg/g) with the highest value. Flavonoid (28.0±0mg/g) was also higher in leaf than the fruit (3.34±0mg/g). However, saponin, alkaloids, tannins, steroids, terpenoids, phenol, cardiac glycosides and carotenoids were also qualitatively and quantitatively screened. The various phytochemical constituents analyzed could have contributed to the antimicrobial effects on the selected test organisms. The obtained result provides a support for the use of Calotropis procera, in traditional medicine and suggest its further advance investigation.
BackgroundIt was estimated that 36.7 million people lived with HIV globally, and approximately half were on antiretroviral therapy. In both resourced and resource-limited settings, retention in care and rates of viral suppression are lower in adolescents and young adults when compared with older adults or younger children. In Rwanda, among adolescents and young adults (those aged 13-24 years), the prevalence of HIV varied geographically, ranging from 2.2% in the North to 4.3% in the City of Kigali. The aim of this study was to assess the factors associated with viral load suppression among HIV positive adolescents and young adults at Muhima District Hospital. Methodology:A cross-sectional study with quantitative approach was conducted on 361 selected sample using systematic sampling tech-niques, data were collected using interviewer-administered questionnaires and processed and analyzed using SPSS Version 21, bivariate and multivariate logistic regression analysis were used to determine the factor associated with viral load sup-pression among HIV positive adolescents and young adults at Muhima district hospital, significant of statistical association will be tested using 95% confidence interval and p-value (<0.05). Results: Among 361 respondents, Female were 68.1%; 82.3% were single and 85.6% were aged from 20-30. The results indicated that 62% of respondents took the ARV as prescribed (good adherence) to ART; 98.1% observed positive health benefits from using ARV drugs, however 16.1% failed to take prescribed ARVs because of hiding from friends their HIV status and 15% due to for-getfulness. Non-suppressed viral load was found from 29% of respondents. Adolescence period (15-20) (AOR=1.14 95%CI: 1.008 - 2.442), Having no formal education (AOR=2.71, 95%CI: 1.211-3.061, P=0.002) primary education (AOR = 1.84, 95%CI: 1.154-2.074, P=0.019), failure to attend clinic schedule (AOR=3.29, 95%CI: 1.009 - 4.120, P=0.022), alcohol consumption (AOR=4.09, 95%CI: 2.03 - 6.302, P=0.026), comorbid condition (TB) (AOR = 2.08 , 95%CI: 1.042 - 3.981, P=0.029) increased the odds to non-suppressed viral load. Conclusion: The viral load suppression is quite lower than the countys viral load suppression. Interventions targeting adher-ence support, stigma reduction, and peer support should be implemented to improve viral load suppression among HIV-positive adolescents and young adults.
Composite flour was produced from African yam bean (AYBF), cassava (CF), and maize (MF) and its potential in producing biscuit were investigated. Five samples were produced at AYBF: CF: MF ratios of 100:00:00; 70:20:10; 60:25:15 and 00:00:100. The proximate and mineral compositions of the composite flours and the sensory properties of the biscuit produced from these flour blends were evaluated using standard methods. From the results obtained, the moisture, fibre, and carbohydrate contents increased from 9.46 – 9.74%; 6.02 – 6.21%, and 56.91 – 60.91% respectively as the level of CF and MF increased in the blends while the protein, ash, fat, and energy values decreased from 20.70 – 17.12%; 3.26 – 3.19%; 3.65 – 3.03% and 343.29 – 339.39kcal respectively. The moisture contents obtained fell below the 14% recommended for shelf-stable storage of flour products. There was a significant reduction in all the mineral elements evaluated apart from magnesium, which increased from 40.50 – 97.14mg/100g. However, the results of the sensory evaluation show that biscuit produced from 100% MF was the most acceptable with the highest mean sensory scores in colour (5.60); taste (6.30); aroma (5.30); texture (5.90) and general acceptability (6.80). No significant difference exists among the five samples in terms of all the quality attributes aside from general acceptability. These results show the potential of AYBF, CF, and MF in the biscuit industry.
The increasing demand for building materials such as gravel and sand led to the chaotic and random spread of many quarries in Nineveh governorate, which led to the distortion of the main course of the Tigris River and the surrounding areas, and this appears clear and obvious by observing aerial and satellite images of the Tigris River course and comparing them with similar old pictures of the riverbed. The random extraction caused substantial changes in the river's morphology, distorting the main riverbed by making it impossible to discern between the main river and the surrounding areas, and the depletion of river sediments became essentially uncontrolled. The main objective of this study is to determine the origin of these extracted sediments and ascertain whether they came from inside Iraq or from southern Turkey. Nine different quarries located on both sides of the Tigris River in Nineveh Governorate were studied. Samples were collected, volumetric analysis tests were conducted, and heavy metals were studied. Furthermore, it has been demonstrated that the origin of these deposits is due to igneous, metamorphic, and sedimentary rocks originating in southern Turkey rather than Iraqi territory, and that the process of replacing these deposits has become impossible, particularly since the construction of the Mosul Dam. As a result, strong legislation defining the extraction technique and optimum extraction locations must be enacted in order to protect the remainder of these resources for future generations.
Groundwater is known to be an important resource in Cameroon and the population of Limbe in particular relies on such a resource. Located along the coastal area and headquarters of the Fako Division in the Southwest Region of Cameroon, Limbe is a cosmopolitan city, situated between 3.96-4.06N and 9.15-9.24E. Due to the carcinogenic and non-biodegradable nature of trace metals, aquifers are contaminated with their presence, making water from these sources unsafe for consumption. The aim of this study was to assess the concentration of trace metals in groundwater and compare them with WHO limits. Materials used in this study were GPS receiver, EC meter, pH meter thermometer, filters, permanent marker, diluted nitric acid, sampling containers, Golden Surfer Software, Global Mapper, IBM SPSS. Methodology adopted in the study included fieldwork and sampling, pre-laboratory preparation, index calculation and data synthesis. 175 hand-dug wells, 10 boreholes, streams and rivers were sampled in this study. Ten groundwater samples were collected from six pre-selected hand-dug wells, two boreholes, a stream and a spring for trace metal analysis using ICP-MS analytical technique. The results showed that all the trace metals were averagely below permissible limits with Zn being the highest recording 465µg/L at Motowoh-New Town and Cd the lowest in concentration. Trace metal concentration was in the order of Zn > Sr > Mn> Ba > Fe > V > Cu > Cr > Ni > Co > Pb > As > Li > Cd. An anomalous concentration of Ba with 83µg/L was recorded at Half Mile. Health risk assessment was done on the basis of Average Daily Dose (ADD) with values ranging between 1.3 x 10-6 and 1.5 x 10-2 mg/kg/day, Carcinogenic Risk (CR) between 1.6x10-5 0.00704, Hazard Quotient (HQ) between 0.0027 and 0.5657, Hazard Index (HI) between 0.0171 and 0.5826. Pollution risk indices were calculated following Degree of Contamination (DC) with values ranging between 0.66 and 2.92, Enrichment Factor (EF) between 0.002 and 2.84, Ecological Risk Assessment with ecological risk factor ranging between 0.00292 and 1.7 and ecological risk index between 1.707 and 4.23, Pollution Load Index (PLI) varied between 0.014 and 0.037 and Geo-accumulation Index (Igeo) all less than zero. Generally, groundwater in Limbe and environs was found unpolluted. Health risk indices showed that groundwater was generally satisfactory, safe for consumption and pose no carcinogenic risk. All metals except Zn were from natural processes. Zn was the most enriched trace metal. Keywords: Trace Metal, Assessment, Groundwater, Aquiferous Formations, Limbe-Cameroon
Executive Summary and Abstract The Russian-Ukrainian war had significant impact on the economy, particularly on goods sold worldwide. This research paper is designed to provide a comprehensive analysis of the factors responsible for global commodity price inflation. Additionally, It also explores the impact of the Russia-Ukraine War, options for Russia and European countries, and the potential impact of the war on small and large businesses. It also explores the role that India, China and the BRICS countries can play in the global economy. The document also compares grain prices for 2021 and 2023, examines the potential assistance the BRICS could provide, evaluates Ukraine's Plan B, and presents a timeline for restoring supply shortages. Finally, current shortages and strategies to manage them are identified, and alternative export sources are explored to compensate for wheat shortages. In addition to wars, geographical disasters, natural disasters such as floods and droughts, ongoing economic pressures and frequent supply-demand conflicts cause prices to increase. Some recommendations have also been provided to the key stakeholders and policy makers based on this research. Commodity prices data from real-time worldbank dataset provides future guidance to a lot of stake holders worldwide including those from emerging and developing economies (EDME’s). World grain prices soared to record highs before the Russia-Ukraine war broke out on February 24, 2022, but Wheat price is still above historic levels, after the Russian war broke out and continued. The war in Ukraine has already lasted more than a year and a half. This study attempts to use machine learning and forecasting techniques such as ARIMA for forecasting. Although, Regression Models, Futures, Artificial Intelligence and Machine Learning have been used for several decades in forecasting the commodity pricing data, but this research has used a time series dataset from the worldbank site for doing this analysis. The research focuses on augmented forecasting techniques on commodity pricing time series data, for addition to this field of research.[30]. Machine Learning methods such as Lasso, KNN, Support Vector Regressor, MLP Regressor (Neural Network), Gradient Boosting Classifier, Random Forest Regressor, Adaboost Regressor, Decision Tree Regressor have been used on commodity pricing time series wheat grain data.. The analysis in this study is to discover the root cause of the increase in the market price of wheat and the lack of supply. The most widely used forecasting method, even if it is not fair, is the futures price, which has made huge predicition errors [30]. Due to food security and war in the world, this research has been done on wheat data. The same method can be used to predict and be useful for all items in this dataset. Additionally, Baumeister and Kilian (2015) found that mixed forecasting combining forecasts from different models, including futures prices, resulted in more accurate reporting of the model as is found useful for the fuel price forecast. Similarly, Manescu and Van Robays (2017) found that forecast combination approaches improved directional accuracy and unbiasedness over futures prices. Studies have shown that combining more data in different models can improve performance. For example, accounting for global economic conditions, petroleum inventories, world output gap, the U.S. dollar exchange rate, and the possibility of speculation has been shown to improve oil price forecasts (Baumeister, Korobilis, and Lee 2022; Kaufmann et al. 2008; Lalonde, Zhu, and Demers 2003). Similarly, accounting for relevant external regressors, such as industrial production, exchange rate dynamics, commodity currencies, and international metal stock indexes, has improved forecast performance of some metal prices (Gong and Lin 2018; Issler, Rodrigues, and Burjack 2014; Pincheira-Brown and Hardy 2019). Multivariate time series models also have the advantage of capturing the interactions and relationships between variables. They can account for the dynamics and dependencies among different variables, allowing for a more comprehensive understanding of the underlying factors driving commodity prices Keywords: Russian-Ukraine Conflict, Food Prices, Food Crisis, Grain Exports, Time Series Analysis, Wheat Circulars, Univariate Models, Multivariate Models, Machine Learning, Random Forest, Extra Tree Classifier, Decision Trees, Futures Prices, Commodity Prices, ARIMA, MLP Regressor (Neural Networks), Global Trade, Inflation, Diplomatic Negotiations, Supply Chain Disruptions.
This research focused on developing an android game for the purpose of entertainment and enjoyment of the user. The researchers used the descriptive research design by using the respondents and survey questionnaires to fully describe the entire study. The game was develop to have an interactive and useful communication from the game to the users by playing it. This study aims to provide an entertainment by using a color game application that is specifically design for android devices. This application has its own database of colors where the users can choose different types of colors. In this case, the researchers’ perceive that by playing the game by its features, design, functionalities, accuracy, efficiency reliability and consistency the players will be entertained and will play much more. The game was develop through the use of vivid research conducted by the researcher to the respondents in order to gather more data and information in the further development of the game.
We are Social, and Meltwater's 2023 global digital survey highlighted Indonesia's social media landscape, with 167 million active users accounting for 60.4% of the population. As social media grows in popularity, traditional media faces difficulties maintaining news quality. This research focuses on human resource management and development in the media industry, emphasizing the importance of press company standards in ensuring professionalism. Quality news programming is critical for media success and influences public engage-ment. Despite the variety of programs available on television, news is not a popular choice. The regulations of the Press Council aim to uphold press company standards while promoting information, education, and democratic principles. Human resource development and news program quality are investigated using qualitative research methods, focusing on Terang Abadi Media Group Solo. The study aims to decipher the complex relationship between these variables and contribute to a solid conceptual model.
It takes both time and resources to gather sizable autonomous vehicle dataset for stochastic gradient modeling. The capabilities of stochastic gradient descent (SGD) algorithm and pipeline in machine learning have been investigated in a number of researches. Several techniques used smaller samples of sensor data, which may have been adequate but wasn't always the best for employing ML pipelining classifier. The pipeline uses SGD ML classifier with an applicable parameterization to categorize training data samples in order to improve classification and fault detection accuracy. This study employed pipeline sensor data fusion architecture with stochastic gradient descent to address potential sensor signal failure types in autonomous vehicles. The suggested architecture uses a SGD classifier for sensor signal diagnosis, detection, and isolation in order to overcome the challenges in the environment of an autonomous vehicle. We are integrating our knowledge in stochastic modeling to create a reliable ML pipeline framework that categorizes various sorts of car sensor signal faults. The pipeline model was designed to validate input and output data of each stage, preventing sensor faults from emerging and boosting the pipeline model's dependability. We concentrated on defining a thorough fault isolation system model that handles a variety of fault types (normal, hard over, drift and spike). The model strength lies in its ability to unearth hidden patterns and establish a connection between car features with their historical sensor signal data. The SGD produced 95.27% while pipeline recorded 99.43% accuracy rate as the best. The pipeline framework enhanced the efficiency and reliability of the model development process while reducing the likelihood of faults and promoting high standards.
Based on organizational psychology and human resource management theories, this study investigates the complex relationships between job satisfaction, work environment, and organizational culture, particularly emphasizing the role of work motivation as a mediator. This study examines the relationship between job satisfaction, work environment, and organizational culture, with work motivation as a moderator. Personal values alignment underpins job satisfaction, whereas work environment and culture influence employee performance and contentment. The study employs an associative survey method with a quantitative approach, collecting data from logistics company employees via a Likert scale questionnaire. The analysis employs partial least squares (PLS) path analysis to assess the effects between variables. The paper contributes a conceptual model that emphasizes the complex interplay of factors influencing job satisfaction and emphasizes the role of work motivation as a mediator.
The study sought to establish the effect of environmental change on wildlife population. The research methodology utilized in this study was exploratory study. The problem was investigated quantitatively using the methodology of questionnaire (online survey). The population that was considered during this study comprised in Somalia. The sample data that was analyzed consisted of 73 respondents and Simple random sampling was used to choose the respondents. The Data was analyzed by using Statistical Package for Social Science (SPSS 27). Findings of the study indicated that environmental change has hindrance role in wildlife population and it also includes pollution, deforestation, and flood. The study also shows that harmful effects of environmental change on wildlife population most likely occur when environmental change increases wildlife will decrease. Finally, the study indicates that investment has a negative effect on the wildlife population. So, the researcher recommends for the ecologists and the governments should reduce the change related environmental in areas of wildlife population such as pollution, burning fossil, deforestation, overconsumption and wildfires, drought and floods. This will in turn help to achieve the wild well being
This study aims to analyze and determine the effect of training and the use of information technology on employee performance. Data collected from as many as 57 people by determining the number of samples in this study is to use the census / saturated sample method, namely the number of samples taken from the entire population. Methods of data analysis using multiple linear regression analysis. The research results show that: (1)Training and the use of information technology simultaneously have a positive and significant effect on employee performance, (2) Training has a positive and significant effect on employee performance, and (3) The use of information technology has a positive and significant effect on employee performance.
This study aims to determine and analyze the effect on employee performance at the Office of Religious Affairs in North Konawe Regency. The sample in this study were all employees at the Office of Religious Affairs of North Konawe Regency, amounting to 78 people. This study uses multiple linear regression analysis. The results showed that: (1) Intellectual intelligence, emotional intelligence, and spiritual intelligence had a positive and significant effect on employee performance at the Office of Religious Affairs of North Konawe Regency. (2) Intellectual intelligence has a positive and significant effect on employee performance at the Office of Religious Affairs of North Konawe Regency. (3) Emotional intelligence has a positive and significant effect on employee performance at the Office of Religious Affairs of North Konawe Regency. (4) Spiritual intelligence has a positive and significant effect on employee performance at the Office of Religious Affairs of North Konawe Regency.
The world was being plundered with the deadly Corona Virus, popularly called Covid-19, with over 6,630,082 death cases, and the crippled global economy with a loss of over $5 trillion. In response to these global challenges. The Food & Drug Administration of the U.S. had allowed open-source access to the general public through Emergency Use Authorizations (EUAs) to contribute efforts to curb the ravaging negative effects of Corona virus and associated complications. Authorities having professional jurisdiction to involve in the production and supply of ventilators, resuscitators, its accessories and also to provide potent measures capable of restoring respiratory disorders, which are integral tools in the treatment of breathing issues in the Covid-19 era. This study under the Emergency Use Authorization and Resuscitator aimed to design, produce, and test an automatic valve bag resuscitator as a Non-Rebreathing Device. The device used positive pressure aeriation (ventilation) as the working principle. Arduino Nano module was used as a design platform to obtain Results data like the, breathing rate of 10-12bpm, inspiration time of 1-2s, max. inspiration pressure of 15-40cmH2O, expiration time 2-3s, tidal volume of 6-8ml for children and 390-520ml for adult, a delay time of 2-5s. . This is an innovative work to be used as a lifesaver, test requirements appropriate to support safe operation were identified and adhered to.
Ensuring the quality learning experience of students in the institution of higher education has been a growing concern during the past years before tertiary education has made free. Several studies have focused on faculty and administrative perceptions in Tagoloan Community College, and there has been a lack of research on assessing the quality learning experience of BSBA students. The Assessment on the free education landscape for quality learning experienced by the students sought to answer the questions about quality learning and the significant relationship between the Profile of the respondents, Assessment, and quality learning experience. Respondents of the study were the college students enrolled in BSBA 3rd and 4th-year levels and who are currently having a face-to-face class at Tagoloan Community College at Baluarte, Tagoloan Misamis Oriental. To obtain the desired number of respondents, 442 students were utilized using simple random sampling. The data was gathered, collected, and processed using statistical treatments such as frequency counts and weighted means. The study found that there is a correlation between the Profile of the respondents and the quality learning experience of the students. Although the study was found to have strongly correlated to the variable used, it was then manifested that there was a strong debate in many countries in financing higher education. There were increasing claims and manifestations that higher education should be free. It then outlines the world's contemporary landscape in providing free education and having a close look at the outcome in a different context. The result shows that free higher education although it is hard to sustain and embraces different scenarios, in terms of access and success is found to have noteworthy results.
Background: The study sought to examine the influence of monitoring and evaluation on project performance of Rwanda, a case of Rural Electricity Distribution Project in Rulindo District. The study specifically focused on to determine the influence of accountability, community involvement and project budget on performance of Rural Electricity Distribution Project in Rulindo District. The study will be of important to Government Projects, Researcher, Mount Kenya University and Rural Electricity Distribution Project in Rulindo District to improve their project performance. Materials and Methods: The study used program theory and theory of constrain. The study used descriptive research design in answering the investigational questions. Target population was 112 and sample of 88 respondents of Rural Electricity Distribution Project in Rulindo District were sampled. The study further adopted probability-sampling technique with the adoption of simple random sampling. Questionnaires was used to generate the required data for analysis. Drop and pick up later method further used to collect the data from the field. A pilot test was used to determine the reliability and validity of the information tools. Statistical Package for Social Sciences (SPSS) version 20.0 was helpful to evaluate information. Results: Findings confirmed that progress reports make it possible for management and suppliers to stay informed about a project and to change or adjust assignments, schedules, and budgets, stated by majority of respondents agreed and minority disagreed. The identified risks are usually compiled into a formal risk report, which is then delivered to project senior management throughout the organization, confirmed by majority of respondents agreed. Project budget should give a comprehensive and sufficient provision for M & E tasks, stated by 86.8% respondents agreed. There is Presence of a separate budget allocation for Monitoring and Evaluation, confirmed by majority respondents agreed. Monitoring and evaluation budget should not be too little as it affects the credibility and accuracy of the results and neither should, confirm by majority of respondents agreed. According to findings from budgeting in Rural Electricity Distribution Project in Rulindo District under Rwanda Energy Group has presented overall average of ( =2.8750 and Std Dev= 1.1150) in affecting the performance of the project; that means there is moderate mean and evidence of the existence of the fact and homogeneity of responses. The p-value is 0.000, which is less than standard significance levels of 0.05. This indicates that, out of other factors influencing of performance of Rural Electricity Distribution Project, only budgeting has significant relationship with performance of Rural Electricity Distribution Project in Rulindo District under Rwanda Energy Group. Conclusion: The study thus concluded that putting proper monitoring and evaluation processes in terms; firstly budgeting, secondly budgeting and lastly community involvement respectively would increase project performance in terms of time, cost/budget and quality. Key terms: Monitoring and Evaluation, Performance of Projects, Rural Electricity Distribution Project, Rulindo District, Rwanda.
This study was conducted in two selected kebeles of Assosa woreda Benishangulgumuz Regional State, Western Ethiopia. The aim was to evaluate the production and reproduction performance and adaptation potential of DZ-white chicken breed under semi-intensive poultry production system. Fifteen rural households were selected purposely. Intensive and practical based training was given for all participant farmers, with regards to poultry house construction, feeding, and management. A total of 750 unsexed one-day old chicks were used for the study. Each participant farmer received 50 unsexed chicks. The average survivability - from a day old up to twenty weeks of age was 86%. The average weights at 20 weeks of age, under farmers’ management condition were 1323 g and 1016 g for male and female, respectively. The average egg production performance of the breed in the study area was 134 eggs per year. The average egg weight at initial laying stage (5% production stage) was 41.9 g. The hen housed egg production under farmers’ management at 30, 40 and 50 weeks age were found to be 40.89,(36.317 and 32.62%, respectively. The DZ-white chickens showed good production performance in terms of growth, sexual maturity and egg production. Farmers become interested with the chickens for their both egg and meat production under scavenging condition with little supplementation. Therefore, the chicken breed has to be registered as one of alternative dual-purpose chicken breeds for the semi- scavenging production system.
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