bluuebunny/crossref_metadata_2025 huggingface dataset:
Project Feasibility Studies and Sustainability of Government Supported Projects in Uganda
Authors: Bosco Turyasingura John , Moses Agaba
Published: December 2023

The study investigated the impact of project feasibility studies on the sustainability of government-supported projects in Uganda using a case study of Parish Development Model in Kabale District. Project feasibility studies were an independent variable, while sustainability of government-supported projects was a dependent variable. Before the study started, a cross-sectional survey was done. 120 people participated in our survey, and we blended quantitative and qualitative analyses. The analysis was conducted on three separate levels and included descriptive, bivariate, and multivariate approaches.  Because the descriptive analysis required the presentation of just one variable and its properties, frequency tables were used to illustrate the data. A Pearson correlation matrix was used to analyze the bivariate correlations between the dependent variable and the predictor components. At the multivariate level, the dependent variable was regressed against the updated predictor factors (sustainability of government project). The data were examined using a linear regression model. Regression analysis results show that parish development models in Kabale District are more effective when participatory projects are implemented (coef = -0.715, p-value = 0.000). The main finding of this study is that project feasibility studies have a substantial impact on a parish development model project's sustainability.  Parish Development Model initiators should focus more on including project beneficiaries in feasibility studies through project applicability, relevance, reliability, and acceptance to ensure the sustainability of all government-funded projects.
Sketching the landscape of corrective feedback by bibliometric analysis and structural topic modeling
Authors: Chen Jiexin
Published: December 2023

Corrective feedback (CF) has been playing an important role in language teaching. Even though previous reviews focused on written or oral corrective feedback, little attention has been drawn to provide a panoramic review of the whole CF field. This study aims to sketch the landscape of CF research over the past two decades (2000-2022) and identify latent topics of the CF field. A total of 1106 CF-related articles were analyzed using bibliometric analysis and structural topic modeling. The most influential journals, references, countries, and authors in CF were identified by bibliometric analysis. Eighteen important topics in CF were discovered by structural topic modeling, among which the most representative topics included eight student-related topics, four teacher-related topics, and four technology-related topics. The findings showed that among these eighteen topics, implicit and explicit CF, teachers’ beliefs in CF and uptake of recast accounted for the largest proportion. Meanwhile, the topic trends indicated that more attention should be paid to peer feedback, automated writing evaluation of feedback, assessment literacy and student engagement in the future. More importantly, this study clarifies the relationship among teachers, students and technology in the CF field and constructs a conceptual framework in CF. This study contributes to pointing out potential directions for further CF studies and provides implications for deepening the understanding of CF in the language teaching field.
EFFECT OF MESH COUNT AND PERCENTAGE OPEN AREA ON THROUGHPUT CAPACITY IN DEVELOPING CASSAVA CAKE SCREENING MEDIUM
Authors: AHIAKWO Abraham
Published: December 2023

The screen is a medium for breaking cassava cake lump into fine particles before the heating process that turns the fine particles into garri. The objective of this research is ascertain the effect of mesh count and percentage open area on throughput capacity of cassava cake screening medium, with respect to two methods of development. To this end, six screens each of diameters 1.5, 3, 4.5, 6, 7.5 and 9mm were developed using perforated and the traditional woven wire mesh method respectively. Measurement was made of the mesh count and open area of the screens and screening was done with 2kg of cassava cake across each screening medium. Data was obtained from the mesh count and open area of the screens as well as the throughput capacities. The data obtained were analyzed using t test and regression analysis. Result showed that the mesh count for 3mm screen for the woven wire mesh was approximately 3 while the mesh count for a smaller diameter of 1.5mm for the perforated screen was 10.6. This resulted to percentage open area of 11 and 28.3 respectively. Also screening time was 4.1min for 3mm against 3.4min for 1.5mm, given throughput capacity of 24kg/hr and 35.6kh/hr, for the woven wire and perforated mesh respectively. The t-test showed that there is a statistical significant difference in the throughput capacity of the two methods. The perforated method has advantage of higher throughput capacity, lower time and energy input and hence is recommended for manual and motorized screening process.
ELECTRICAL AND CORROSION BEHAVIOUR OF ALUMINIUM-ALUMINIUM NITRIDE PARTICULATE COMPOSITE PRODUCED USING POWDER METALLURGY
Authors: POLYCARP Evarastics , LUKA Mailafiya , SHAIBU Lasisi , ABDULKADIR Muyideen , OLUSEGUN Lasisi
Published: December 2023

The properties of aluminium nitride (AlN) such as good coefficient thermal expansion, good wear and corrosion resistance, high mechanical strength, good resistance to thermal shock and good electrical properties have continued to attract research attention in recent times. In this paper, the interest is to investigate the influence of AlN on the electrical conductivity and corrosion properties of Al-AlN particulate composite produced using powder metallurgy. The samples were compacted using the pressure of 450Mpa and sintered at 550 oC for 30 minutes using the two-step sintering method. Four-point probes machine was used to determine the electrical resistivity and subsequently the electrical conductivity of the samples. The samples were immersed in 0.05M NaOH for 24 hours to determine their corrosion behaviour using the weight loss method. The corroded samples were characterized using X-ray Diffractometer (XRD) and SEM. The result of the electrical conductivity of the samples increased with both the amount of reinforcement and magnesium added. The unreinforced aluminium sample recorded the lowest value of electrical conductivity while the sample with composition Al-16.25wt%AlN-1.0wt%Mg gave the highest value, 131.33(Ωm)-1. The results of XRD analyses revealed peaks of aluminium hydroxide (Al(OH)3) as the main corrosion product on the samples. The results show that corrosion rates of the samples decrease with weight fractions of AlN and Mg. The sample containing Al-16.25wt%AlN-1.0wt%Mg offered the best corrosion resistance with a corrosion rate equivalent to 22.74mm/y; while the unreinforced aluminium sample corroded the most.
ROBUST CONTROLLER FOR A GRID CONNECTED PHOTOVOLTAIC SEMI QUASI INVERTER SYSTEM
Authors: LAWAL kabir , ADAMU Abubakar , OLARINOYE Gbenga , ABDULWAHAB Ibrahim
Published: December 2023

This work present semi quasi source inverter (SQSI) that operate on two active state without the application of shoot through mode. An H∞ (H infinity) controller was developed using a generalized plant obtained from SQSI for PV grid connected system. The SQSI reduces the stresses on circuit component, provides ample and also limit the start-up in rush current for power quality and reliability. A salp swarm-based Maximum Power Point Tracking (MPPT) algorithm was used to track the maximum power from the PV (photovoltaic) and closed loop system was obtained to monitor the entire network. The simulation results obtained from MATLAB/Simulink environment guaranteed the system performance. The results obtained were compared with the results obtained when quasi- admittance source inverter (QYSI) were used. The Fast Fourier Transform (FFT) analysis showed that the THD was reduced from 0.67% to 0.61%. This shows that the SQSI is a transfomerless kind of inverter and outperformed the THD value obtained from the QYSI a transformer based. Due to low level of harmonics in the current waveform. The tracking efficiency of the system also improve from 97.1% to 99.68% using the salp swarm algorithm. The frequency deviation as result of sudden load variation was monitored which kept the output voltage and current almost in phase with an improve power factor from 0.90 to 0.96 as compared with robust controller for grid connected quasi admittance source inverter (QYSI) for PV system.
Growth performance of broiler chickens fed diets supplemented with amylase and protease enzymes individually or combined
Authors: Radhi Khadija , Arif Muhammad , Rehman Abd , Faizan Muhammad , Almohmadi Najlaa , Youssef Islam , Swelum Ayman , Suliman Gamaleldin , Tharwat Mohamed , Ebrahim Alia , Hack Mohamed , Mahrose Khalid
Published: December 2023

Background:
Feed additives that increase nutrient availability in feeds have gained a lot of interest.
Aim:
An experiment was conducted to determine whether amylase, protease and their combined supplementation affected broiler performance.
Methods:
Two hundred eighty (280) broiler chicks were selected and distributed randomly into 28 replicate pens with four treatment groups and seven replicates under Completely Randomized Design (CRD). A total of four diets were developed, having 0, 100g, 100g and 100+100g of control (AP0), amylase (A1), protease (P1) and amylase + protease (AP1)/ton of feed, respectively. Four replicates of each treatment were fed each diet. Each diet was randomly allotted to each group. Ad-libitum feeding was provided to the birds. The feeding program had starter and finisher diets. Upon completion of the experiment, three birds from each pen were slaughtered to analyze the carcass characteristics and organ weight.
Results:
Differences were insignificant between 100g/ton of amylase supplementation and FI, BWG, or FCR (P>0.05). Supplementation with 100g/ton of protease did not significantly affect FI, BWG, and FCR (P>0.05). Similarly, 100+100g/ton of amylase + protease addition had no significant effect on FI, BWG, and FCR (P>0.05). None of the treatments significantly affected carcass weight, abdominal fat percentage, dressing percentage, drumstick, wings, breast and thigh weights (P>0.05). In addition, there were no significant effects (P>0.05) on the weight of the heart, liver, gizzard, and spleen.
Conclusion:
In conclusion, amylase, protease, and their combined supplementation at a rate of 100g/ton of feed did not influence BWG, FI, FCR, carcass characteristics, or organ weight.
Analysis of colonic histopathological images using pixel intensities and Hough Transform
Authors: Gan Lim Laurence , Naguib Raouf , Dadios Elmer , Avila Jose Maria
Published: December 2023

Cancer of the colon is among the leading types of cancer. Worldwide, colorectal cancer is considered the third most common neoplasm. Similar to other types of cancers, early detection of colon cancer is the key to a successful treatment. Traditionally, pathologists use microscope to examine histopathological images of biopsy samples taken from patients and make judgments based on their professional expertise. Typically, a pathologist would make observations on some key features in the image and subsequently be able to classify whether or not the tissue under examination contains abnormality. Since this procedure is performed by a human expert, it is therefore subject to inconsistencies due to factors that might affect human performance. To overcome this problem, it has been proposed to use computers to aid in the analysis of medical images, such as histopathological images of colonic tissues. One of the C strongest signs of abnormal cellular growth is abundance of DNA material in the nuclei, a condition known as hyperchromasia. Another sign is a ‘chaotic’ appearance of tissue usually observed during histological viewing. Cancer is known to be characterized by abnormal and excessive proliferation of cells and larger-than-usual nuclei. These effects are visually manifested by a darkening of the regions with excess DNA due to reaction to staining and a loss of structural order in the tissue. In this paper, pixel intensity and the presence of circular formations are examined separately as discriminating image features to distinguish between normal and abnormal samples. The images used in this study were derived from slides and cases randomly chosen from surgical pathology files of a hospital, previously diagnosed by pathologists as colonic adenocarcinoma, adenomatous polyps from the colon, as well as resection planes of the colonic resections without tumor to serve as controls. All samples were stained with hematoxylin and eosin and were taken at 400x magnification. The results showed very promising results.
Cadmium binding ability of the blue-green alga Hapalosiphon welwitschii Nägel under controlled conditions
Authors: de Guzman Margaret , Cao Ernelea
Published: December 2023

The ability of the blue-green alga Hapalosiphon welwitschii Nägel (a cyanobacterium) to bind cadmium from its medium was tested in cultures exposed to different metal concentrations (0.5, 1.5, 2.5, 3.5, 4.5, 5, 6, 8, 10 and 12 ppm). The amount of cadmium removed was shown to be time and concentration dependent. With increasing cadmium concentrations of 0.5 to 10 ppm, significant levels of the heavy metal were detected on the cell wall. However, at 12.0 ppm, a higher amount of the heavy metal was detected inside the cytoplasm. The cells also exhibited efflux of cadmium after 24 and 48 h of incubation. The presence of Cu2+ significantly increased the amount of bound cadmium. On the other hand, the ions Co2+, Mg2+, and Ni2+ significantly decreased the amount of cadmium bound to the cells most probably because of competition for binding sites resulting in inhibition of cadmium binding. The maximum binding of cadmium by the cells was at pH 9, but was not significantly T different from the binding observed in cultures grown at the optimum pH of 7.5. However, there was a significant decrease in cadmium binding when the pH of the medium was acidic (pH 3 and pH 5). The results obtained from this study may provide baseline information for further studies on the potential of the blue-green alga H. welwitschii to clean up cadmium contaminated areas.
A Study on the imaginative structure and meaning of the Jeongdongjin Independent Film Festival
Authors:   Liberal Arts Innovation Center, Sim Sang Gyo
Published: December 2023

This paper examined the imaginative structure of films screened at the 25th Jeongdongjin Independent Film Festival in 2023. A total of 22 films were screened at this fi lm festival, including 19 short fi lms, 1 feature fi lm, and 1 film festival support film. Among these works, seven works whose imaginative structure was easy to identify and whose narrative structure was clear were examined. Just as there is an explanation that the human unconscious is structured by language or libido that created the works submitted to this year's Jeongdongjin Independent Film Festival.
The typical imaginative structures that appeared commonly at this film festival. Structures were paradox and human insight. The roots was love for humanity and family. It seems necessary to characterize fi lm festivals with specific themes. It may be necessary to plan with specialized themes such as family or the sea. Operating a children's film class program can also be considered, and it is also worth considering adding a program in the nature of a silver class.
Exploring Basic Software Education Methods through ICT Literacy Competency Diagnosis for College Freshmen
Authors:   Liberal Arts Innovation Center, Choi Jeong Hee , Ku Jin Hee
Published: December 2023

This study was conducted to analyze the results of ICT literacy diagnosis for college freshmen and derive implications for college liberal arts software curriculum based on this. Data collection targeted 3,488 new students at M University in Daejeon in 2021, 2022, and 2023, and compared grades based on ICT-related prior learning, analyzed diff erences in grades by major, and analyzed differences in ICT literacy capabilities. As a result of the study, 940 (27.05%) out of 3,488 respondents over the past three years responded that they had experience in ICT-related programs. The average score of the ICT literacy competency diagnosis of students in the college of engineering, college of education, and college of art and design, who had a high proportion of ICT-related learning experience, was high. While the average score of students at the college of music and college of technoscience, who had a low proportion of ICT-related learning experience, was low. In other words, ICT-related prior learning experience showed a high correlation with ICT literacy competency scores. As a result of comparing the percentage of correct answers by area, the percentage of correct answers in the access and ethics areas was higher than that of other areas, but the percentage of correct answers in the management and sharing areas was somewhat lower. These results are believed to be due to the fact that as the computing environment is moving from PC to mobile, data storage, software use, and development environments are changing to focus on cloud computing. In addition, implications derived from the research results include the possibility of using block coding language in basic software education, the need for basic and advanced curriculum reflecting the increase of social interest and demand for the Python language, and resource management methods according to changes in the computer use environment.
A Study on the Use of Vocabulary in the President's National Day Speech: Using BigKinds Platform
Authors:   Liberal Arts Innovation Center, Joe Yong Lim
Published: December 2023

This study analyzes 76 commemorative speeches by South Korean presidents, focusing on Constitution Day, National Foundation Day, and Hangul Day. Among 28 Constitution Day speeches, key terms include “National Assembly, Republic of Korea,” “democracy, constitution,” and later, “unification, peace, autonomy.” Notable shifts occur, with “country's constitution” and “constitution establishment, constitution, North Korea” gaining prominence, followed by “democratic constitution,” “presidential election,” and “Republic of Korea.”
National Foundation Day speeches (23 in total) highlight “Hongik Ingan, people, culture, history, authenticity,” transitioning to “unification, peace, North Korea, nation-building.” Early mentions of “North Korean Communist Group, national people, ethnic history, 60 million people” shift to focus on terms like “people, nation” later on.
Hangul Day speeches (25 in total) feature evolving themes, from “scholar, culture, newspaper, national language, China” to emphasis on “King Sejong, cultural fi gure,” and eventually “culture, people, Hangul.” The 16th president's speeches uniquely emphasize “our language,” “King Sejong,” and “compatriots, Japanese colonial era Hangul, our language, Korean language.”
The study extracts characteristic keywords using an algorithm, providing insights into presidential discourse on national holidays. However, interpreting their meaning solely based on data poses challenges. This research serves as a foundation, urging further studies for a clearer understanding of trends.
Value Contestation in Traditional Spaces: A Case Study of the Conflict in the Implementation of Gadeso in Pecalukan
Authors: Fadhila Aisha
Published: December 2023

This research presents a comprehensive discussion of social conflict in the implementation of the gadeso tradition that occurs in the community in Pecalukan Subdistrict. The main points of discussion contained include conflict mapping, phasing and dynamics of conflict, as well as forms of conflict resolution efforts. This research uses a qualitative method with a case study approach. As a unit of analysis, this research uses the perspective of conflict theory by Ibnu Khaldun together with the concepts initiated by Geertz regarding santri and abangan. From the research that has been carried out, it can be seen that the root of the conflict comes from strong differences in values between social groups (ashabiyah) in Pecalukan Subdistrict. Namely, between the santri group and the abangan group who then contest each other and fight for power over the truth in the gadeso tradition, thus creating an attempt at domination and giving rise to conflict. This condition is further exacerbated by the stigma of "bigotry" imposed by the government and society local towards groups of students. This article also attempts to present a discussion regarding the efforts of the Pecalukan Subdistrict government together with local actors to minimize conflict tensions in the implementation of the gadeso tradition. Even though various efforts have been made, in fact the existence of conflict cannot be completely eliminated, even though its intensity has decreased considerably.
AI and Plagiarism: Opinion from Teachers, Administrators and Policymakers
Authors: Nguyen Quynh Hoa
Published: December 2023

The emergence of AI applications like ChatGPT is becoming a big concern in recent times. In the field of education, AI promises to bring important breakthroughs to improve teaching and learning efficiency, but it also raises great concerns. Teachers fear that learners may turn to ChatGPT or other AI applications to generate ideas, correct mistakes, or even write complete essays. The educational forums have also revolved around how to accurately assess learners' competence when they currently have too many support tools from AI applications. Teachers, administrators, and policymakers themselves have divergent views on whether the use of AI applications in academic writing is plagiarism. This study focuses on understanding the views of teachers, administrators, and policymakers on the issue of AI and plagiarism. The research instrument is a questionnaire designed to clarify their acceptance or disapproval of learners' use of AI applications in academic writing and the extent of acceptable use. The research results show that AI applications have become increasingly popular in teaching and learning practices, and participants are quite open to this trend. Meanwhile, most participants are aware of the negative impacts that such applications may bring about. The research data also reveal that surveyed teachers and administrators/ policymakers have varied or even opposing perceptions of the use of AI applications in academic writing. These research findings should be considered for developing or adjusting legal documents in the field of education to keep these documents updated with the actual situation.
Sustainability E-Commerce Di Indonesia: Kebijakan Dan Strategi Untuk Mengurangi Dampak Lingkungan
Authors: Fuqoha Muhammad Syauqi , Firmansyah Amrie
Published: December 2023

Penelitian ini bertujuan untuk mengulas dampak negatif yang ditimbulkan dari aktivitas e-commerce di Indonesia. Penerapan prinsip-prinsip keberlanjutan saat ini perlu diperhatikan dalam industri e-commerce di Indonesia mengingat dampak yang ditimbulkan dari transaksi yang terjadi. Metode yang digunakan dalam penelitian ini adalah scoping review dengan menggunakan data dari dari artikel, laporan, dan data-data yang relevan dengan aspek keberlanjutan pada sektor e-commerce. Kemudian Kami melakukan analisis deskriptif untuk mengeksplorasi atas informasi-informasi yang telah didapatkan dari artikel, laporan, dan data-data tersebut. Selanjutnya Kami juga melakukan analisis argumentatif dilakukan untuk memberikan argumen terkait penerapan kebijakan yang sesuai dengan kondisi dampak lingkungan yang dihasilkan dari aktivitas e-commerce di Indonesia. Hasil dari penelitian ini menunjukkan bahwa e-commerce berdampak negatif terutama pada aspek lingkungan yaitu limbah kemasan, emisi GRK dari aktivitas pengiriman, dan emisi GRK dari data server e-commerce. Kami memberikan rekomendasi kepada pemerintah sebagai regulator untuk membuat peraturan yang mengikat bagi para pelaku e-commerce dengan mempertimbangkan aspek keberlanjutan.
Impact of COVID-19 pandemic on the physical, mental and social health of the suburban and rural adult population in Bangladesh
Authors: Tomalika Nehlin , Mahzabeen Rishad , Tagar Md Mohiuddin , Afroz Sadya , Ahmed Naima , Mohsena Masuda , Mahbub Rashid-E , Sayeed MA
Published: December 2023

Background and objectives: The COVID-19 pandemic caused a significant impact on health worldwide. Adverse effect of COVID-19 on health-related quality of life is significant. This study aimed to find out the impact of COVID-19 on the physical, mental and social health of suburban and rural adult population in Bangladesh.

Methods: A suburban and a rural community were purposively selected. The suburban and rural areas were located about 40 km and 130 km north and north-east of Dhaka city respectively. People aged ≥20 years in the selected communities were enrolled in the study. The investigation procedure included socio-demographic and clinical history, anthropometry, and clinical examination and laboratory investigations. Depression, Anxiety and Stress Scale-21 (DASS-21) and 36-Item Short Form Health Survey (SF-36) questionnaires were used for assessing mental and social health respectively. Knowledge, attitude and practice (KAP) regarding the prevention and transmission of COVID-19 was assessed by a validated questionnaire and interview.

Results: Total 385 individuals (suburban=201, rural=184) were enrolled in the study. Out of 385, 116 and 269 were male and female, respectively. Out of total 385 participants, depression, anxiety and stress were present in 113 (29.4%), 144 (37.4%) and 70 (18.2%) respectively, while 210 (54.5%) were normal. Extremely severe depression, anxiety and stress were present in 3.6%, 6% and 0.5%, respectively. Depression and anxiety did not differ between suburban and rural populations, though stress was significantly higher among the suburban (p<0.05) population. Social functioning was limited in more than 50% as opposed to excellent (5.5%) or good (39.8%). Almost 60% of the participants had to cut-down schedule of heavy work. Moderate to minimal physical activities were less affected, though weakness and nervousness predominantly hindered socialization. About the prevention and transmission of COVID-19, awareness and attitude were found satisfactory (≥45%), though practice was neglected (<30%).

Conclusions: This is the first study in Bangladesh to report the impact of the COVID-19 pandemic on the physical, mental, and social health of adult suburban and rural populations. Physical and mental disabilities were evident among the studied people. Social functioning was affected by COVID-19 equally in suburban and rural participants. A well-designed cohort study is needed to obtain a real picture of the impact of COVID-19 pandemic on human health and society.

IMC J Med Sci. 2024; 18(1):007. DOI: https://doi.org/10.55010/imcjms.18.007

*Correspondence: MA Sayeed, Department of Community Medicine and Public Health, Ibrahim Medical College, 1/A Ibrahim Sarani, Segunbagicha, Dhaka 1000, Bangladesh; Email: sayeed1950@gmail.com
Blockchain based Application for Fake Product Detection
Authors:   Dept. of E&TCVIT, Pune, Jabade Vaishali , Pawar Mehal ,   Dept. of E&TCVIT, Pune, Powar Sneha ,   Dept. of E&TCVIT, Pune
Published: December 2023

This paper aims to study and introduce an innovative solution that combines cryptography and an immutable blockchain system to address the pressing issue of counterfeit products. The application's primary objective is to identify fake products within supply chains by ensuring data integrity, traceability, and transparency throughout the product's journey. By employing advanced cryptographic techniques, the application secures sensitive information and verifies product authenticity while preserving confidential details. Integrating an immutable blockchain ensures an unchangeable and decentralized record, making it exceedingly difficult for malicious entities to manipulate product records. Blockchain technology can verify the validity of a product and provide confidence to consumers regarding its legitimacy, effectively detecting counterfeits. The QR (Quick Response) code or an encrypted unique code, which is a very effective method for determining the uniqueness of the product, will be used by the model in the suggested system. The blockchain that is accessible after scanning the QR code provides data on the product, the maker, and the owner to assist customers in makinginformed decisions. This study provides a technique foridentifying fake products that uses blockchain technology. Keywords — Blockchain, Ethereum, Counterfeit Product, QR code, Solidity, Dapp.
Apple Fruit Disease Detection for Hydroponic Plants Using Machine Learning and Image Processing
Authors: Journal IJSREM
Published: December 2023

Agriculture played a major role in the economy of many developing countries. Apple falls under the commercial crops as a fruit that will be grown worldwide. In the whole growth cycle of apples, there are many types of apple diseases and pests, therefore, recognition and determination of these illnesses are essential. K-means Cluster segmentation is used to detect the diseases in the apple fruit. In the feature extraction method, the Threshold segmentation process is applied and extracts the pixels from the apple and predicts the disease present in apple fruit. The machine learning algorithm like, Support Vector Machine and Deep learning algorithm like Convolutional Neural Network algorithms are used to test & train the data. The tool used for implementation is Anaconda Spyder 3.7 and Python Language. It is free of cost and the most popular non-proprietary dispensation software of Python programming. The dataset contains both healthy and unhealthy apple fruit images and a confusion matrix for validating the proposed system will change depending on the dataset. The outcomes visualize the higher arrangement exactness of the proposed SVM and CNN model. At last, the outcome will be generated in the form of loss, accuracy, precision, recall, sensitivity, and specificity. Keywords— : K-means Clustering, Support Vector Machine, Classification, Classification Neural Network
A Review –of Sales Encourage Online Consumer selected FMCG Product
Authors:   P.K. University,Shivpuri, Srivastava Santosh , Nalla Bashkar ,   P.K. University,Shivpuri
Published: December 2023

Abstract:-This Paper Provides, Customers Fast-moving consumer goods are products that sell quickly at relatively low cost. These goods are also called consumer packaged goods.. These goods are purchased frequently, consumed rapidly, priced low, and sold in large quantities. They also have a high turnover when they're on the shelf at the store. This study aims to determine how digital platforms change customer behavior due to many factors that are affected by technological development. This research also provides a perspective on how customers decide to buy FMCG from a digital platform. The results show that brand awareness, audiovisual social media advertising, ease of access, and reviews from other consumers affect how consumers buy options. Advertising in social media, electronic word of mouth (e-WOM), customer engagement, positive influence, brand awareness, and sales enhancement are major factors that make digital platforms profitable for suppliers or manufacturers as a new business model Keywords:- customer digital platform; FMCG distribution; internet technology; Consumer Behavior towards Virtual Shopping.
Impact of Social Media on Children in Maharashtra -A Review
Authors:   Assistant Professor (M.com, B.ed)  Mahendra Pratap Sharada Prasad Singh Degree College of Arts, Commerce and Science, Jaiswal Archana Narsingh
Published: December 2023

The way social media affects kids in Maharashtra is something we need to understand. Social media can be good for Learning and making friends but it can also be bad. If kids spend too much time on it or face problems like cyberbullying, it's important to figure out how parents can help the need for more studies and take teaching to make sure social media is safe and helpful for kids in Maharashtra. Keywords - Importance of social Media, effect mental health and physical health, cyberbullying and Impact.
Machine Learning based Integrated Hospital Appointment Booking and Queue Management System
Authors:   G H Raisoni College of Engineering, Nagpur, India., Verma Pratik , Kalaskar Prathamesh ,   G H Raisoni College of Engineering, Nagpur, India., Pimprikar Riya ,   G H Raisoni College of Engineering, Nagpur, India., Choudhari Niharika ,   G H Raisoni College of Engineering, Nagpur, India., Talekar Prof Ashish ,   G H Raisoni College of Engineering, Nagpur, India.
Published: December 2023

Hospitals have a growing challenge of long queues and consequently more waiting time for patients. Hospitals can better manage resources and anticipate more inflow of patients through estimations on patient count. In this paper, we propose a web-based Machine Learning based Integrated Hospital Appointment Booking and Queue Management System that aims to reduce the queue time of patients and forecast the number of patients present at a given hour of the day. Queue time reduction is done by generating a unique token number for every patient which is used to lead him directly to the respective department and patient forecasting is done using Demand Forecasting which is a Machine Learning Regression Algorithm to predict future patient count at a particular hour of the day. The results can help patients make a better decision of choosing a less crowded time. This will also help the hospital to manage the patient crowd, logistics and resources more efficiently. Keywords — Hospital, queue, patient, integration, Integrated, doctor, web-based, demand forecasting, machine learning, token.
Decentralized Voting System Using Blockchain Technology
Authors:   Computer Science & Engineering Technology, G H Raisoni University, Saikheda, Shaiqua Khan Assistant Prof. , Pimpalkar Teena ,   Computer Science & Engineering Technology, G H Raisoni University, Saikheda, Indorkar Sheetal ,   Computer Science & Engineering Technology, G H Raisoni University, Saikheda, Ghormare Smruti ,   Computer Science & Engineering Technology, G H Raisoni University, Saikheda
Published: December 2023

Blockchain verifies security using a distributed mechanism. For several new and developing products and services, blockchain technology is touted as a game-changer. Providing a distributed architecture to manage and sustain an open voting system would be the aim of such a plan. A system called blockchain stores data in a way that makes it difficult or almost impossible to make changes to it. The sharing economy may be benefited by a very wide variety of applications made possible by blockchain technology. That will be used to quantify how blockchain technology may be used to facilitate distributed electronic voting. The suggested solution implements a voting mechanism using the Aadhar API on an Ethereum network on a blockchain platform. Electronic voting is expected to promote openness, and voters are required to lessen dishonesty and irregularities in the voting procedures. Voters will be able to cast their ballots from home by using this technology. The technology seeks to improve voting process transparency and strengthen fraud prevention by supplanting the conventional pen and paper method. Key Words: Blockchain, Distributed General Ledger, Ethereum, Smart Contracts, P2P network, Consensus Algorithm, PoW Algorithm, Cryptography, Voter Privacy, Trustless Environment, Electrical integrity.
Education Sphere
Authors:   Computer Science & Engineering Technology, G H Raisoni University, Nikita Khursange Ass. Prof , Sakarde Nikita ,   Computer Science & Engineering Technology, G H Raisoni University, Dhurve Deepshikha ,   Computer Science & Engineering Technology, G H Raisoni University, Madavi Durga ,   Computer Science & Engineering Technology, G H Raisoni University
Published: December 2023

Organizations are increasingly thinking about moving their Customer Relationship Management (CRM) applications from an on-premise environment (local servers) to an on-demand environment hosted on cloud servers as a result of the rise of cloud computing. The company owns and manages the software and hardware inside its own network in an on- premise setting. On the other hand, in an on- demand environment, the infrastructure and software are hosted by a third party provider who bills the company on a subscription basis. The industry-leading on-demand CRM product is Salesforce. Key Words: 1.CRM ( Customer Relationship Management
A STUDY ON ENVIRONMENTAL INFORMATION DISCLOSURE BY INDIAN GOVERNMENT AND INDUSTRIES
Authors:   BBA,LLB(HONS), 5th Year Saveetha School of Law  Saveetha Institute of Medical and Technical Sciences (SIMATS)  Saveetha University, Sushil S , padmapriya Mrs ,   BBA,LLB(HONS), 5th Year Saveetha School of Law  Saveetha Institute of Medical and Technical Sciences (SIMATS)  Saveetha University
Published: December 2023

Government and industry environmental information disclosure is an important means to promote environmental supervision and law enforcement, and improve the level of environmental management. Public knowledge management is crucially dependent on public access to information – in particular, information on environmental risks. Yet most existing systems of governance favour administrative or corporate secrecy, thereby monopolizing environmental information in the hands of governmental authorities or private stakeholders. This paper describes innovative initiatives to establish civil society's 'right to know', by mandatory disclosure of government-held information and of industry-held environmental risk data (through the worldwide spread of Pollutant Release and Transfer Registers, and through court- enforced access to 'privileged' documentation However, the paper also highlights continuing transparency deficits (sometimes resulting in 'manufactured uncertainty') with regard to risk-sensitive information of common concern. Therefore, this paper believes that the government should strengthen the disclosure of environmental information based on urban economic development to ensure the sustainability of urban economic development. The researcher has done a study on the same based on certain questions framed by the researcher. The respondents belonged to various age groups, International Scientific Journal of Engineering and Management ISSN: 2583-6129 Volume: 02 Issue: 12 | December – 2023 DOI: 10.55041/ISJEM01318 www.isjem.com An International Scholarly || Multidisciplinary || Open Access || Indexing in all major Database & Metadata © 2023, ISJEM (All Rights Reserved) | www.isjem.com | Page 2 educational and occupational backgrounds to whom the survey questions based on awareness level on the topic of agreeability on certain aspects and opinions on the concept were asked. The results are formulated and the hypothesis has been either proven or altered as any research should be. The tools used for the research include Statistical Tools for Social Sciences (SPSS). In conclusion the people should be given enough awareness so as to the rights they have towards obtaining information regarding the environment. KEYWORDS : Environmental supervision, Environmental information disclosure, Green economy, Industry and government, Threshold effect.
Billboard Advertising
Authors:   Student, Communication Design, ATLAS SkillTech University, Mumbai,Maharashtra, India., MISHRA VIDHI , SHARMA KANIKA ,   Assistant Professor, Communication Design Department, ATLAS SkillTech University,Mumbai, Maharashtra, India.
Published: December 2023

This research explores the multifaceted dynamics of billboard advertising as a powerful tool for marketing campaigns. Billboards, large-scale print advertisements strategically positioned in high traffic areas, are examined through various lenses to uncover their demographic impact, impressions on viewers, marketing potential, creative expression opportunities, societal reflections, environmental concerns, and the importance of targeting a specific audience. The study delves into critical factors such as location, message clarity, and design in determining the effectiveness of billboard advertising. Insights from the research highlight that billboard advertising can significantly increase brand awareness, with case studies illustrating successful strategies. The study also emphasizes the importance of creative design and clear messaging to maximize the impact of billboard campaigns. The proposed outcomes suggest that billboard advertising can enhance brand image, increase social media engagement, and provide a favourable return on investment. In conclusion, effective billboard advertising relies on a harmonious blend of compelling content and captivating design to create a lasting impression and drive consumer action.
Etkileşen Wolf-Rayet Çift Sistem CQ Cephei (WN6+O9 II-Ib)
Authors: AKÖZ İbrahim , YAKUT Kadri
Published: December 2023

Bu çalışmada, galaksimizde yer alan örten Wolf-Rayet çift yıldızlardan biri olan CQ Cep (WR155, HD 214419) çift sitemin 2015-2020 yılları arasında fotometrik gözlemlerinin analizi yapılmıştır. Gözlemler U, B, V, R ve I bandlarında yapılmış ve elde edilen çok renk fotometrik veri setleri eş zamanlı olarak analiz yapılmıştır. Yapılan analizler sonucunda çift sistemin yörünge eğim açısını 65 derece, bileşen yıldızların kütle oranı (q) 1.15 ve bileşen yıldızların sıcaklıklarının oranını ($T_2/T_1$) 0.83 olarak elde ettik.
Knowledge and utilization of Traditional Birth Attendants by Women of Reproductive Age in Alanamu Community Ilorin, Northern Nigeria
Authors: Lawal Abdulwahab , Salawu Wuraola , Makanjuola Oluwanifemi , Ambali Ambali , Alabi Oreoluwa , Kareem. Ahmed , Nnaemeka Chijindu , Akande Maryam , Akande Tanimola
Published: December 2023

INTRODUCTION
The lack of access to skilled healthcare services during childbirth remains a major factor for high maternal mortality in developing countries, as traditional birth attendants (TBAs) continue to serve as the predominant providers of maternal health care in rural communities.
This study explores the knowledge and utilization of TBAs by women of reproductive age in a rural community of Ilorin, kwara state Nigeria.
METHODSThis study is a descriptive cross-sectional study which was conducted using a well-structured interviewer based questionnaire, administered to 212 women of reproductive age-group to collect data on their knowledge and utilization of the services of TBAs. Analysis was done using Statistical Product and Service Solutions (SPSS) software version 20.
RESULTS One hundred and fifty three respondents (72.2%) had background knowledge of TBAs, 91 (40.8%) had visited a TBA at least once to carry out their deliveries, of which 73 (80.2%) of them had successful deliveries, while 18 (19.8%) had complications during their deliveries, and 7 (7.7%) were referred to health care facilities for expect management. The study showed statistical significance between the level of education of respondents and their patronage of TBAs with a p-value of 0.041, and showed no statistical significance with their level of income.
CONCLUSION This study showed adequate knowledge and utilization of the services of TBAs by members of the community. The practice of TBAs has continued to thrive in rural communities; integrating their services with the standard healthcare system as well as continuous sensitization of rural communities on their roles and limitations would go a long way in reducing maternal morbidity and mortality associated with the use of poorly trained TBAs
Impact of introduction of TB LAM in the TB testing algorithm at Levy Mwanawasa University Teaching Hospital on case detection and notifications
Authors: Bwalya Ireen , Chilyabanyama Obvious
Published: December 2023

Abstract

 

Introduction

TB-LAM tests were introduced in the TB program in Zambia in 2019, to aid in diagnosis of TB. We carried out a study to determine the impact that TB lipoarabinomannan (LAM) test has had on case identification and notification at a tertiary hospital in a city with a high prevalence of HIV. We also compared sensitivity, specificity, positive predictive value and negative predictive of TB LAM tests and X-pert MTB RIF test in HIV positive and HIV negative patients.

 

Method

Retrospective analysis of the TB laboratory as well as the TB notification registers to determine the number of TB cases identified by TB LAM and Xpert MTB-RIF. We identified patients who had both TB LAM and X-pert MTB RIF tests to determine sensitivity, specificity, positive and negative predictive values of TB LAM and Xpert MTB RIF, using TB notification and commencement of anti-tuberculosis treatment as the gold standard for comparison.  

 

Results

Between January 2019 and June 2022, there were a total number of 2353 notified cases of Tuberculosis. A total of 511 cases of Tuberculosis were identified on the basis of positive TB LAM. This accounted for 59% of all bacteriologically confirmed cases of TB. The sensitivity and specificity of TB LAM in diagnosis of TB in the study population was 55.8% and 91.4% respectively. Positive and Negative predictive values for TB LAM were 84.5% and 69.6% respectively. The sensitivity and specificity of Xpert MTB RIF in diagnosis of TB in the study population was 29.2% and 98.2% respectively. Positive and Negative predictive values for Xpert MTB RIF were 93.5% and 60.4% respectively. Positivity yield was higher for TB LAM as compared to Xpert MTB RIF (19% versus 9% in 2019; 36% versus 10% in 2020 and 38% versus 10% in 2021).

Conclusion

TB LAM identified 59% of all bacteriologically confirmed cases of tuberculosis at Levy Mwanawasa University Teaching Hospital. Contrary to what has been found in other studies, the sensitivity of TB LAM was much higher than that of Xpert MTB RIF. In addition, the sensitivity of TB LAM was higher in HIV negative as compared to HIV positive, which is contrary to what has been established in similar studies.
Antidiabetic, and radical scavenging activity of Kigelia africana fruit fractions.
Authors: Muyenga Tumelo , Bamitale Dominion Samuel K , Kibuule Dan , Hikaambo Christabel N. , Nyambe Mutenta N. , Ezeala Christian
Published: December 2023

Background: Traditional medicine is gaining traction in Africa. 92.1% of diabetes patients at the University Teaching Hospital in Zambia use herbal medicine. Kigelia africana is a botanical species used in traditional medicine for diabetes due to its phytochemical composition. This study aimed to determine the phytoconstituents, radical scavenging activities, total flavonoid concentration, and total phenolic content of the antidiabetic bioactive Kigelia africana fruit fractions.

Methods: Using UV spectrophotometer we determined the total phenolic content (TPC), total flavonoid content (TFC) and free radical scavenging activity. Alloxan-induced diabetes rat models were used to determine the antidiabetic effect in vivo. Phytoconstituent analysis was via gas-chromatography Mass spectrophotometry (GC-MS)

Results: The ethyl acetate fraction demonstrated superior antidiabetic activity, reducing blood glucose levels from 28.42±2.7 mmol/l to 8.16±4.4 mmol/l. Statistical analysis showed no significant difference between the ethyl acetate fraction and Glibenclamide,(p=0.152). Although the ethyl acetate fraction had a higher reading, there was no statistically significant difference found in Total Phenolic content (TPC) (p=0.3) and Total Flavonoid content (TFC) (p=0.06). IC50 values for DPPH were 0.05330 (chloroform), 0.05352 (ethyl acetate), and 0.4013 (butanol). GC-MS analysis revealed the presence of important fatty acids, methyl furfural, furan carboxylic acid and 4-pyran-4-one derivatives.

Conclusion: The GC-MS fingerprint of the antidiabetic fractions revealed important fatty acids and phenolic compounds that could be attributed to the observed antidiabetic activity.