Research articles list

The transportation problem is widely applied in the real world. This problem aims to minimize the total shipment cost from a number of sources to a number of destinations. This paper presents a new method named Dhouib-Matrix-TP1, which generates an initial basic feasible solution based on the standard deviation metric with a very reduced number of simple iterations. A comparative study is carried out in order to verify the performance of the proposed Dhouib-Matrix-TP1 heuristic.

Souhail Dhouib

Frequent power outages arising from poor state of electricity infrastructure is hindering Nigeria’s socio-economic growth. Port Harcourt is one of the foremost cities in Nigeria where business and social activities are becoming rapidly more dependent on electricity. Any power outage, even of the shortest duration, in Port Harcourt City has severe socio-economic impacts and there is no likelihood that the phenomenon would abate even in the nearest future. This research investigated the causes of incessant power outages in Port Harcourt City and suggested remedial measures to reverse the trend. The researcher relied on datacollected from primary sources through personal observations, interviews and discussions with residents of the City and from secondary sources such as the National Bureau of Statistics (NBS), the Manufacturers Association of Nigeria (MAN) and current scholarly literature relating to this research, over a period of twelve months. The study used a descriptive and the non-parametric simple percentages technique in analysing the data so collected and in drawing conclusions. It was found that inadequate power generating capacity, shortage of gas, weak and dilapidated electrical transmission and distribution network, inadequate power infrastructure facilities, etc. are the chief causes of incessant power outages in the Port Harcourt metropolis. The paper recommends, among others, immediate upgrade of existing power infrastructure facilities, review of government policy on domestic gas supply and stiff statutory legislation on vandalism as measures to stabilise electricity supply in the Port Harcourt city.

Dr. Hachimenum Amadi

Lakes are characterized by dynamic responses to ecological and limnologic disturbances that occur within a constrained timeframe. Some endorheic lakes in the Kenyan Rift valley are presently regarded as environmental hotspots because of complex changes that are revealed through multiple proxies; changing lake levels and surface area, turbidity and sedimentation, and the proliferation of macrophytes, and loss of aquatic biodiversity. Lake Baringo is characterized by widespread catchment degradation accompanied by high levels of turbidity during erratic and decline of the native fishery based on Oreochromis niloticus baringoensis. A careful analysis implicates potential natural factors such as catchment topography and increasing anthropogenic pressure as the main causes of lake ecosystem degradation. This paper recommends several strategies for restoration of Lake Baringo based on an integrated multi-faceted approach that combines catchment rehabilitation, pollution control, and provision of alternative livelihoods such as agriculture to the riparian communities

Omweno job

The purpose of the study was to find out the effect of pranayama on type-2 diabetes on metropolitan people. In the present study researcher wants to observe the effect of pranayama on type 2 diabetes on metropolitan people and to develop a specific package for type 2 diabetes. For this purpose researcher collect 60 sample from nearest diabetic Clinic and Hospital in the city and it is randomly divided into two groups one is experimental and another is control group. In the study researcher used bio-chemistry lab tools. In the study research design used Pre-test, post-test control-experimental group and researcher used two variable type 2 diabetes as dependent and pranayama used as independent variable and in the study there was significant effect of yogic practices on type 2 diabetes.

Shekhar Boro

Micro-level assessment of vulnerability to climate change creates basis for policy formulation. The study specifically ascertained the levels and determinants of vulnerability to climate change among selected food crop farmers. Data collected were analysed using descriptive statistics and ordinary least square regression analysis. The result revealed that 15.95%, 68.97% and 15.08% of the households were highly vulnerable, moderately vulnerable and less vulnerable to climate change respectively. This implies a varied effect on crop farmers. The result also showed that amount saved, extension contacts, household expenditure and value of crop were significant at 1% level. The study recommended the provision of basic amenities and soft loans to farmers as well as an improvement in extension services. It also advocated the introduction of effective climate change mitigation and adaptive measures to boost agricultural output in their area.

Comfort chikezie

ABSTRACT “Numbers are the highest degree of knowledge. It is knowledge itself.”- Plato “The world is built on the power of numbers.” Pythagoras “Everything around you is numbers.” Shakuntala Devi. The date, we were born on, was not an accident. Each number in our date of birth is connected with certain energies and vibrations. Similarly, each and every letter in our name (first as well as full name) also has particular frequency, energies and vibrations. The combined and correlated energies of numbers and letters of an individual reveal about the past, present and future. The careful study of these universal divine energies can reveal, who you are, why you are here, where are you going and how will you get there. In other words what is your personality, nature, thinking, and what is your future in terms of family career relationships and finances etc. In this study, an attempt has been made to analyze -How certain patterns of name numbers and date of birth related core numbers can emerge as a directional guide for an individual to choose any specific career/profession (by studying the patterns of over 1100+ date of births and names of the Engineers cum Arbitrators).

Jyotsnaa G Bansal

Background Type 2 diabetes and obesity are serious public health concerns globally and a growing burden in Africa. Both conditions have serious repercussions on health when they co-occur, yet the extent of their co-occurrence in Africa remains unknown. Therefore, this review aimed to identify the prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa. Method A systematic search was conducted on PubMed, MEDLINE, Embase, African Index Medicus (AIM), and African Journals Online (AJOL) for observational studies that reported the prevalence of overweight and/or obesity among type 2 diabetes patients in Africa. The prevalence data from individual studies were aggregated through a random-effects meta-analysis. The I2 statistic was used to evaluate between-studies heterogeneity, while subgroup analysis and mixed-effects meta-regression were performed to identify sources of heterogeneity. We assessed publication bias using funnel plots and Egger’s test. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Results Of 1753 records retrieved, 80 articles were eligible for this review, with 74 cross-sectional studies included in the meta-analysis. The pooled prevalence of overweight and obesity was 35.6% and 25.6% respectively, while the overall prevalence of both overweight and obesity was 61.4%. Also, the pooled prevalence of both overweight and obesity across the five geographical areas in Africa ranged from 56.9% in East Africa to 88.5% in Southern Africa. Nineteen factors were significantly associated with overweight and obesity among patients with type 2 diabetes. Conclusion The high prevalence of overweight and obesity among patients with type 2 diabetes is a significant public health concern that transcends geographical boundaries within Africa. The findings from this review highlight the need for innovative weight management interventions that are tailored to the cultural context of the African setting

Emmanuel Ekpor

Background Type 2 diabetes and obesity are serious public health concerns globally and a growing burden in Africa. Both conditions have serious repercussions on health when they co-occur, yet the extent of their co-occurrence in Africa remains unknown. Therefore, this review aimed to identify the prevalence and associated factors of overweight and obesity among persons with type 2 diabetes in Africa. Method A systematic search was conducted on PubMed, MEDLINE, Embase, African Index Medicus (AIM), and African Journals Online (AJOL) for observational studies that reported the prevalence of overweight and/or obesity among type 2 diabetes patients in Africa. The prevalence data from individual studies were aggregated through a random-effects meta-analysis. The I2 statistic was used to evaluate between-studies heterogeneity, while subgroup analysis and mixed-effects meta-regression were performed to identify sources of heterogeneity. We assessed publication bias using funnel plots and Egger’s test. This review adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) guidelines. Results Of 1753 records retrieved, 80 articles were eligible for this review, with 74 cross-sectional studies included in the meta-analysis. The pooled prevalence of overweight and obesity was 35.6% and 25.6% respectively, while the overall prevalence of both overweight and obesity was 61.4%. Also, the pooled prevalence of both overweight and obesity across the five geographical areas in Africa ranged from 56.9% in East Africa to 88.5% in Southern Africa. Nineteen factors were significantly associated with overweight and obesity among patients with type 2 diabetes. Conclusion The high prevalence of overweight and obesity among patients with type 2 diabetes is a significant public health concern that transcends geographical boundaries within Africa. The findings from this review highlight the need for innovative weight management interventions that are tailored to the cultural context of the African setting

Emmanuel Ekpor

Along with computer technology, the demand of digital image processing is too high and it is used massively in every sector like organization, business, medical etc. Image segmentation enables us to analyze any given image in order to extract information from the image. There are numerous algorithm and techniques have been industrialized in the field of image segmentation. Segmentation has become one of the prominent tasks in machine vision. Machine vision enables the machine to vision the real world problems like human does and also act accordingly to solve the problem so it is utmost important to come up with the techniques that can be applied for the image segmentations. Invention of modern segmentation methods like instance, semantic and panoptic segmentation have advances the concept of machine vision. This paper focuses on the various methods of image segmentation along with its advantages and disadvantages.

Manoj Kumar Pandey

Pneumonia is an acute pulmonary infection that can be caused by bacteria, viruses, or fungi. It infects the lungs, causing inflammation of the air sacs and pleural effusion: a condition in which the lung is filled with fluid. The diagnosis of pneumonia is tasking as it requires a review of Chest X-ray (CXR) by specialists, laboratory tests, vital signs, and clinical history. Utilizing CXR is an important pneumonia diagnostic method for the evaluation of the airways, pulmonary parenchyma, and vessels, chest walls among others. It can also be used to show changes in the lungs caused by pneumonia. This study aims to employ transfer learning, and ensemble approach to help in the detection of viral pneumonia in chest radiographs. The transfer learning model used was Inception network, ResNet-50, and InceptionResNetv2. With the help of our research, we were able to show how well the ensemble technique, which uses InceptionResNetv2 and the utilization of the Non-local Means Denoising algorithm, works. By utilizing these techniques, we have significantly increased the accuracy of pneumonia classification, opening the door for better diagnostic abilities and patient care. For objective labeling, we obtained a selection of patient chest X-ray images. In this work, the model was assessed using state-of-the-art metrics such as accuracy, sensitivity, and specificity. From the statistical analysis and scikit learn python analysis, the accuracy of the ResNet-50 model was 84%, the accuracy of the inception model was 91% and lastly, the accuracy of the InceptionResNetv2 model was 96%.

Dr. Chandrashekhar Uppin

Sentiment analysis and opinion mining is a branch of computer science that has gained considerable growth over the last decade. This branch of computer science deals with determining the emotions, opinions, feelings amongst others of a person on a particular topic. Social media has become an outlet for people to voice out their thoughts and opinions publicly about various topics of discussion making it a great domain to apply sentiment analysis and opinion mining. Sentiment analysis and opinion mining employ Natural Language Processing (NLP) in order to fairly obtain the mood of a person’s opinion about any specific topic or product in the case of an ecommerce domain. It is a process involving automatic feature extractions by mode of notions of a person about service and it functions on a series of different expressions for a given topic based on some predefined features stored in a database of facts. In an ecommerce system, the process of analyzing the opinions of customers about products is vital for business growth and customer satisfaction. This proposed research will attempt to implement a model for sentiment analysis and opinion mining on Twitter feeds. In this paper, we address the issues of combining sentiment classification and the domain constraint analysis techniques for extracting opinions of the public from social media. The dataset that was employed in the paper was gotten from Twitter through the tweepy API. The TextBlob library was used for the analysis of the tweets to determine their sentiments. The result shows that more tweets were having a positive subjectivity and polarity on the subject matter.

Dr. Chandrashekhar Uppin

Currently, the use of internet-connected applications for storage by different organizations have rapidly increased with the vast need to store data, cybercrimes are also increasing and have affected large organizations and countries as a whole with highly sensitive information, countries like the United States of America, United Kingdom and Nigeria. Organizations generate a lot of information with the help of digitalization, these highly classified information are now stored in databases via the use of computer networks. Thus, allowing for attacks by cybercriminals and state-sponsored agents. Therefore, these organizations and countries spend more resources analyzing cybercrimes instead of preventing and detecting cybercrimes. The use of network forensics plays an important role in investigating cybercrimes; this is because most cybercrimes are committed via computer networks. This paper proposes a new approach to analyzing digital evidence in Nigeria using a proactive method of forensics with the help of deep learning algorithms - Convolutional Neural Networks (CNN) to proactively classify malicious packets from genuine packets and log them as they occur.

Dr. Chandrashekhar Uppin

Due to the rapid growth in the field of science and technology, IoT (Internet of Things) has become emerging technique for connecting heterogeneous technologies related to our daily needs that can affect our lives tremendously. It allows the devices to be connected to each other and controlled or monitored through handheld devices. The IoT network is a heterogeneous network that links several small hardware restriction devices, and where conventional security architectures and techniques cannot be used. So, providing protection to the IoT network involves a diverse range of specialized techniques and architectures. This paper focuses on the requirements of defense, current state of the art and future directions in the field of IoT.

Dr. Chandrashekhar Uppin

We designed a mobile application to deal with Ischemic Heart Disease (IHD) (Heart Attack) An Android based mobile application has been used for coordinating clinical information taken from patients suffering from Ischemic Heart Disease (IHD). The clinical information from 787 patients has been investigated and associated with the hazard factors like Hypertension, Diabetes, Dyslipidemia (Abnormal cholesterol), Smoking, Family History, Obesity, Stress and existing clinical side effect which may propose basic non-identified IHD. The information was mined with information mining innovation and a score is produced. Effects are characterized into low, medium and high for IHD. On looking at and ordering the patients whose information is acquired for producing the score; we found there is a noteworthy relationship of having a heart occasion when low and high and medium and high class are analyzed; p=0.0001 and 0.0001 individually. Our examination is to influence straightforward way to deal with recognize the IHD to risk and careful the population to get themselves assessed by a cardiologist to maintain a strategic distance from sudden passing. As of now accessible instruments has a few confinements which makes them underutilized by populace. Our exploration item may decrease this constraint and advance hazard assessment on time.

Dr. Chandrashekhar Uppin

Malwares are one of the most dangerous security threats in today’s world of fast growing technology. Now, it is not impossible to remotely lock down a system’s files for ransoms even when it is located overseas. This threat was accelerated when the world was introduced to cryptocurrency (for e.g., Bitcoins). It allowed the attackers to hide their tracks more efficiently. From a simple idea of testing the efficiency of a computer system to the most critical and sophisticated cyber-attack, malwares has evolved over the years and appeared time to time. Even with the smartest technologies today where we are trying to include Machine learning and Deep learning to every field of our life, the attackers are already developing more sophisticated malwares using the same Machine learning and Deep learning techniques. This raises the question on the security of the cyber-world and how we are able to protect it. In this work, we are presenting an analysis on a recent and most critical Windows malware called “LockerGoga”. Both static and dynamic analyses are performed on the malware to understand the behavior and characteristics of the malware.

Dr. Chandrashekhar Uppin

Library automation is just not a book inventory where hold, issue and receiving of books by using technological tools and services. Our applied research was found that most of the library administrative functionalities such as ‘Acquisition and Accessioning’, ‘auto Indexing & Classification’ and auto Cataloging (Books & Non books materials)’, inventory with real-time OPAC facilities and many more library science concepts are still missing constructs in Universities/College libraries across the country. In this modern era the concept of eLibrary is more popular because availability and accessibility of digitized content sharing through IT/ICT infrastructure is huge. During our research we found that cognizance of Library automation was completely ignored and focused on only talking and establishment of eLibrary. As we all know that “Physical Library” is not a substitute for “eLibrary”. In fact eLibrary is part of a Physical Library to share authenticated digitized content through IT/ICT infrastructure. After a decade of our applied research in the area of Library science, eventually we recorded a lot of findings based on our survey and discussion with senior researchers and Librarians. Our serious and consistent effort makes to succeeds in designing comprehensively effective and efficient operational strategies to build a “world class Library Automation and Paper less Library Management System” for Universities/College libraries. This paper emphasizes about the comprehensive real-time architecture and operational modules and their effectiveness to achieve the user’s satisfaction (flow of functionalities as per the exact need of the Library Management system). This dealt with how emerging technological tools and services are effectively integrated for designing new strategies in the area of library science includes various automation process and security concepts (using Barcode/RFID). Eventually, our dream comes true in building Use of Emerging Technological Tools and Services to building world class Paper less Library Information &Management System [LIMS]. presently deployed and use of this software product in more than 300 satisfied and client locations in INDIA, this product popularly named as “eLib” by AarGees Business Solution, Hubli, India. Though, our research is still on and continuing for further development to build “Global knowledge sharing Centre”.

Dr. Chandrashekhar Uppin

This study determined the effectiveness of Differentiated Instruction in the reading comprehension level of the Grade-11 senior high school students, school year 2016-2017. Specifically, it aims to determine the reading comprehension level of the control and the experimental groups in the pre test and post-test; identify if there is a significant difference in the reading comprehension level of the control and experimental groups in the pre-test and post-test results; and identify the strengths and weaknesses in using Differentiated Instruction. Quasi-experimental method was employed in conducting the study. The respondents were the 150 Grade-11 students of a public high school grouped as control and experimental using Parallel technique. Data sources include pre-test and post-test scores, gain scores, classroom observation form, survey questionnaire, and researcher's reflective notes. The qualitative data were analysed using template analysis style and the basic approach of comprehending, synthesizing, theorizing and re-contextualizing to identify common themes and integrating thematic pieces. Based on the classroom observations, survey and researcher's reflective notes, strengths and weaknesses of Differentiated Instruction were observed. Despite the observed and encountered challenges, the statistical analysis has revealed a significant difference between pre-test and post-test results.

Darrel Ocampo

This study determined the effectiveness of Differentiated Instruction in the reading comprehension level of the Grade-11 senior high school students, school year 2016-2017. Specifically, it aims to determine the reading comprehension level of the control and the experimental groups in the pre test and post-test; identify if there is a significant difference in the reading comprehension level of the control and experimental groups in the pre-test and post-test results; and identify the strengths and weaknesses in using Differentiated Instruction. Quasi-experimental method was employed in conducting the study. The respondents were the 150 Grade-11 students of a public high school grouped as control and experimental using Parallel technique. Data sources include pre-test and post-test scores, gain scores, classroom observation form, survey questionnaire, and researcher's reflective notes. The qualitative data were analysed using template analysis style and the basic approach of comprehending, synthesizing, theorizing and re-contextualizing to identify common themes and integrating thematic pieces. Based on the classroom observations, survey and researcher's reflective notes, strengths and weaknesses of Differentiated Instruction were observed. Despite the observed and encountered challenges, the statistical analysis has revealed a significant difference between pre-test and post-test results.

Darrel Ocampo

This study aims to determine the functional literacy acquisition of Alternative Learning System learners and make a sound basis for strategic planning and pedagogical intervention that will help promote and develop the said program. The descriptive-evaluative method of research was used in the study. The descriptive method was used to identify the respondents' profile based on (a) age, (b) gender, (c) civil status, and (d) employment status. The evaluative method was used to determine the respondents' functional literacy acquisition in (a) communication skills, (b) scientific and critical thinking skills, (c) mathematical and problem solving skills, (d) life and career skills, (e) understanding the self and society, and (f) digital citizenship (formerly digital literacy). Frequency Count and Percentage Technique was used to describe the functional literacy acquisition of the respondents. Meanwhile, a modified survey questionnaire based on the functional literacy, education and mass media survey ("National Profile of Adult Literacy and Numeracy Skills," 2004, p. 91) was used as the primary tool to gather the data. The respondents in this study were the students enrolled in ALS-Sipocot (North and South District), the school year 2019-2020. Due to COVID restrictions, other ALS learners from other municipalities were not covered as part of the study. Findings revealed that ALS learners do not yet manifest the complete acquisition of functional literacy needed to face the globalized world's challenges because their attainment of the required functional literacy skills is generally low. Moreover, the study disclosed that sex, age, civil status, and employment status affect the acquisition of functional literacy skills among ALS learners in Sipocot, Camarines Sur. Based on the results, the researcher developed an extension activity to help the ALS learners improve their functional literacy, particularly in the digital citizenship area, where they got the lowest score.

Darrel Ocampo

This study aims to determine the functional literacy acquisition of Alternative Learning System learners and make a sound basis for strategic planning and pedagogical intervention that will help promote and develop the said program. The descriptive-evaluative method of research was used in the study. The descriptive method was used to identify the respondents' profile based on (a) age, (b) gender, (c) civil status, and (d) employment status. The evaluative method was used to determine the respondents' functional literacy acquisition in (a) communication skills, (b) scientific and critical thinking skills, (c) mathematical and problem solving skills, (d) life and career skills, (e) understanding the self and society, and (f) digital citizenship (formerly digital literacy). Frequency Count and Percentage Technique was used to describe the functional literacy acquisition of the respondents. Meanwhile, a modified survey questionnaire based on the functional literacy, education and mass media survey ("National Profile of Adult Literacy and Numeracy Skills," 2004, p. 91) was used as the primary tool to gather the data. The respondents in this study were the students enrolled in ALS-Sipocot (North and South District), the school year 2019-2020. Due to COVID restrictions, other ALS learners from other municipalities were not covered as part of the study. Findings revealed that ALS learners do not yet manifest the complete acquisition of functional literacy needed to face the globalized world's challenges because their attainment of the required functional literacy skills is generally low. Moreover, the study disclosed that sex, age, civil status, and employment status affect the acquisition of functional literacy skills among ALS learners in Sipocot, Camarines Sur. Based on the results, the researcher developed an extension activity to help the ALS learners improve their functional literacy, particularly in the digital citizenship area, where they got the lowest score.

Darrel Ocampo