bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUATION OF THE QUALITY CHARACTERISTICS OF COCOA BEAN DRIED USING DIFFERENT DRYING TECHNIQUES
Authors: OA Ogundare , O Ibitoye , OS Oyewole , O Oke , K Ogungbemi
Published: December 2022

Processing techniques, particularly drying because cocoa beans are extremely sensitive to moisture, have a significant impact on the quality of the final product. Fermented cocoa beans were dried using the NSPRI parabolic solar tent dryer (PSTD), wooden solar dryer (WSD), and open-air drying (OAD). The dried cocoa beans’ respective moisture contents (MCs) for PSTD, WSD, and OAD were 5.94%, 6.01%, and 6.82%, respectively. The corresponding MCs for the dried cocoa beans from PSTD, WSD, and OAD were 5.94%, 6.01%, and 6.82, respectively. It was found that the cut test scores for PSTD, WSD, and OAD were 1000, 985, and 965, respectively. This showed that, in contrast to those from WSD and OAD, the dried cocoa beans obtained from PSTD were fully brown. For WSD, OAD, and PSTD, respectively, the obtained pH values were 5.60, 5.65, and 5.80, and the total titratable acidity was 11.70 meq NaOH 100–1 g, 14.10 meq NaOH 100–1 g, and 18.30 meq NaOH 100–1 g for PSTD, WSD, and OAD, respectively. Food products’ shelf life may be indicated by the titratable acidity value. Due to its enclosed design, the NSPRI PSTD has an advantage over other drying methods because it completely eliminates the possibility of external and microbial contamination of the cocoa beans.
GENETIC RELATEDNESS AMONG MAIZE INBRED LINES BASED ON ISSR MARKERS AND ITS ASSOCIATION WITH HETEROSIS AND HYBRID PERFORMANCE
Authors: AL-NAGGAR AHMED MEDHAT MOHAMED , SOLIMAN AHMED MONGED , HUSSIEN MONA HASHEM , IBRAHIM SHAFIK DARWISH , HASSAN MOHAMED ELHAM MOHAMED
Published: December 2022

The objectives of the present study were to measure the genetic diversity among eight inbred lines of maize using ISSR markers and the correlation coefficients between genetic diversity and each of heterosis and mean performance of hybrids for grain yield. Ten ISSR primers were used in the detection of polymorphism of the eight inbred lines in a laboratorial experiment. Heterosis and mean performance of grain yield/ha in their F1 diallel crosses were measured in a 2-year field experiment using a randomized complete blocks design with three replications. Based on ISSR markers, the genetic similarity coefficients among the eight maize inbred lines ranged from 0.798 (between L17 and IL53) to 0.943 (between IL80 and IL84) with an average of 0.869. Unique bands associated with maize inbred lines were identified. The results revealed that the genetic diversity among the inbred lines based on ISSR markers showed a significant, and negative relationship with mid-parent heterosis and mean performance of grain yield/ha. Further, intensive investigation of a large set of maize inbred lines from diverse populations using a large number of ISSR primers is required for proper understanding of genetic diversity of maize crop. Findings will be valuable for maize breeder, to practice effective selection of parental inbred lines for obtaining maximum heterosis and high mean grain yield/ha in their hybrids.
COMPARATIVE PHYTOCHEMICAL AND NUTRITIONAL ANALYSIS CYPERUS ESCULENTUS L. AND CYPERUS ROTUNDUS L. (CYPERACEAE)
Authors: GI UGIOMOH , C EKEKE , CHIBEOSO H ORLU
Published: December 2022

The provision of adequate and sufficient nutrition is of paramount importance, especially in developing nations. Thus to ensure the provision of proper and adequate nutrition to such populations, exploitation of underutilized food varieties is crucial; however, Cyperus esculentus is widely consumed in Nigeria but its close relative Cyperus rotundus is sparingly eaten. The phytochemical and nutritional compositions of two Cyperus species, namely, C. rotundus (nutsedge) and C. esculentus (tiger nut) of Cyperaceae were evaluated using high-performance liquid chromatography. The phytochemical analysis reveals total alkaloids, flavonoids, phenolics, and glycoside concentrations (g/100 g) of 14.14, 35.55, 29.23, and 14.74, respectively, in tiger nut while that of nutsedge is 16.44, 38.68, 23.23, and 13.26, respectively. Tiger nut vitamin composition includes Vit. B1 3.00%, Vit. B2 0.72%, Vit. B3 0.042%, Vit. B6 0.93%, Vit. B12 4.00%, Vit. C 0.07%, and Vit. E 0.05% while that of nut sedge includes Vit. B1 1.00%, Vit. B2 0.0.97%, Vit. B3 0.05%, Vit. B6 1.00%, Vit. B12 3.00%, Vit. C 0.10%, and Vit. E 0.03%. The concentration of these vitamins (Vit.) in both species was relatively low compared to Vit. A with 19.02% in tiger nut and 15.02% in nutsedge. Other phytochemicals detected include saponins (5.00 ppm for tiger nut and 7.00 ppm for nutsedge), tannins (6.00 ppm for tiger nut and 8.00 ppm for nutsedge), oxalate (4.01 ppm for tiger nut and 3.01 ppm for nut edge), and phytates (6.04 ppm for tiger nut and 7.05 ppm for nutsedge). The presence of these phytochemicals confirms the medicinal abilities of these two Cyperus species.
THEMATIC MEASURES FOR REDUCING POST-HARVEST LOSSES OF VEGETABLE CROPS AMONG FARMERS IN BENUE STATE, NIGERIA
Authors: EN MBAH , NE AMAH , MN OKEKE
Published: December 2022

The survey was carried out to ascertain thematic measures for reducing post-harvest losses of vegetable crops among farmers in Benue State, Nigeria. Questionnaire was used to collect data from a sample of 96 respondents used for the study. Data were analyzed using frequency, percentage, mean score, and standard deviation. Findings of the study revealed that about 57% of the respondents were females while 42.7% were males, 46.9% of the respondents were aged 31–40 years, and majority (80.2%) were married with 75.0% of the respondents having farming as a major occupation. A greater percentage (78.1%) of the respondents had between 6 and 10 years of farming experience and mean household size of about six persons. Results show effects of post-harvest losses to include reduction in income generation (M=3.80), decrease in quality of produce (M=3.66), unstable supply of produce (M=3.39), high cost of vegetable (M=3.30), decrease in nutritional content of the produce (M=3.26), loss of investment made by the farmer (M=3.25), and reduction on availability of vegetables for household consumption (M=3.24). Adequate provision of storage facilities (M=3.85), proper cleaning of produce (M=3.65), proper packaging of produce (M=3.60), adequate transportation facilities (M=3.56), sale of produce immediately after harvest (M=3.45), and harvesting at the right time (M=3.45) were measures indicated by the respondents for reducing post-harvest losses of vegetable crops. The study therefore recommends that there is a need for provision of adequate storage facilities to prevent losses of vegetable crops after harvesting. It also highlights that good sanitation practices in all post-harvest operations are very important factors in eliminating sources of infection and reducing contamination.
PHYTOCHEMISTRY AND PHARMACOLOGICAL BIO-ACTIVITIES OF LANNEA COROMANDELICA: A REVIEW
Authors: S SWATHI , K LAKSHMAN
Published: December 2022

Lannea coromandelica is extensively employed as a medicinal herb across the globe. This research work focuses primarily on the phytochemistry, pharmaceutics, and bio-exertion of L. coromandelica. In ethnomedicine, several members of this species function as astringents, aiding in anti-oxidant, anti-inflammatory, and anti-diabetic and are helpful in other physiological functions. In addition, Lannea species’ therapeutic benefits were acknowledged in numerous scientific investigations. The conclusions derived from the current study corroborate that the therapeutic activities of L. coromandelica can be linked to the presence of a broad spectrum of secondary metabolites and bioactive phytocompounds such as phenols, flavonoids, tannins, and proteins, according to the current study. This review highlights phyto-assembly and phyto-activities such as a diuretic, cardiovascular, and bioactivities such as antiepileptic, antimicrobial, and anti-convulsant, and pharmaceutical activities such as anti-cancer, anti-diabetic, and anti-asthmatic properties.
AN EXPEDIENT APPROACH TO TREAT ASTHMA THROUGH NON-STEROIDAL, NATURAL TRANSFEROSOMES AEROSOL SYSTEM
Authors: SHARMA SONAM , KUMARI DIVYA , KHAN SHARUKH , PATHAK PRIYANKA , KATIYAR DEEKSHA , IMAM SYED SAIF
Published: December 2022

Asthma is the most common respiratory disease, affecting an estimated 262 million people and resulting in 461,000 fatalities in 2019. The treatment is available on the market, but it is quite expensive, and it also has serious adverse effects due to the high concentration of steroids in the medicine. If given effectively, curcumin, formononetin, and matrine’s anti-inflammatory properties can play a significant role in treatment. To improve the chemical stability and therapeutic potential of these active pharmaceutical ingredients (APIs) in the respiratory tract, a transferosomes system was designed, which encapsulates the APIs inside its vesicular structure and delivers them selectively to the inflamed cells. The DPPC layer will allow for efficient penetration, whereas Tween-80 will aid in deformability and lower interfacial tension, resulting in a small Z-average diameter, allowing for efficient penetration between layers of cells. The APIs’ stability at alkaline pH (7.6) is ensured by the nano-vesicular structure, which significantly increases cellular antioxidant activity and ferric reducing antioxidant power values. On the RAW264.7 cell line, the formulation will be tested for anti-inflammatory activity. Nuclear factor kappa B, tumor necrosis factor, interleukin (IL)-1, IL-2, IL-6, IL-8, IL-12, nitric oxide, and cyclooxygenase-2 are all reduced by curcumin, formononetin, and matrine. They also have an inhibitory effect on the MAPK signaling pathway, preventing extracellular signal-regulated kinase, c-Jun N-terminal kinase, and p38 from causing inflammation. This formulation can effectively treat asthma without the use of steroids, has no adverse effects, and is inexpensive.
A COMBINED VIRTUAL SCREENING OF COMPOUNDS FROM CARICA PAPAYA LEAVES AGAINST THE SARS-CORONAVIRUS-2 PROTEIN TARGET
Authors: FERNANDES SHANNON IAN
Published: December 2022

Objective: The coronavirus known as severe acute respiratory syndrome (SARS)-Cov-2 was a new strain that had generated a pandemic that was spreading due to an increase in cases and fatalities. Coronavirus causes respiratory and intestinal infections in animals and humans and accounted for the highest number of fatalities during the pandemic research. Numerous research focused on developing supplementary therapy that alleviates the symptoms and addresses comorbidities.
Methods: In the present study, we examined the outcomes of an in silico investigation to develop a novel oral medication against the SARS coronavirus. In this investigation, chemicals from Carica papaya leaves, which have been suggested as an herbal remedy for main protease (Mpro) inhibitor of SARS-Coronavirus-2, were subjected to an integrated virtual screening. The chosen substances were then subjected to pharmacological and toxicological screening. Finally, the screening was carried out by docking the chosen compound against the protein target of SARS-Coronavirus-2 using Biovia and PyRx.
Results: Docking studies identified myristoleic acid, palmitic acid, and thiamine as effective therapeutic agents against Mpro of SARS-Coronavirus-2.
Conclusion: It is worthwhile to suggest C. papaya leaves for additional in vitro research against SARS-Coronavirus-2 at both the molecular and cellular levels.
COMPUTATIONAL ANALYSIS OF PHYTOCOMPOUNDS PRESENT IN MURRAYA KOENIGII TO TARGET HAEMOPHILUS INFLUENZAE DISEASE
Authors: GANESH AARSHA
Published: December 2022

Objective: Haemophilus influenzae is a key contributor to meningitis, pneumonia, and sepsis-related illnesses and fatalities in children around the world during the pre-vaccine era (the early 1990s) and still continues to infect many individuals across the globe. This research examines various bioactive substances from plant sources for the prediction of the efficacy of the plant-based ligands to combat H. influenzae.
Methods: The present study implemented computational methods to assess the effectiveness of several phytochemicals toward the H. influenzae protein. The virtual screening tool PyRx was used to systematically perform molecular docking. To test the binding affinity with the H. influenzae protein 3ZH5, 10 phytocompounds were selected from Murraya koenigii based on the previous literature. Using ADMET filters, the pharmacological evaluation of the ligands was performed.
Results: The plant M. koenigii’s phytocompounds Mahanimbine, Murrayacinine, and Murrayazolinine were found to be the most effective antagonists for the protein 3ZH5, according to the docking data.
Conclusion: Due to their high affinity for the protein, all of these bioactive substances could be considered as deserving candidates for the suppression of H. influenzae.
ADME ANALYSIS AND MOLECULAR DOCKING OF PHYTOCOMPOUNDS OF SALVIA PLEBEIA AGAINST SIRT1 TARGETS IN LUNG CANCER
Authors: MOORTHY CHINMAYI KRISHNA
Published: December 2022

Objective: The sirtuin family is known to have a significant role in the regulation of a wide range of physiological and pathological processes, including in neurodegeneration, age-related diseases, obesity, heart disease, and cancer, according to its targets in certain signaling pathways or in particular tumors. In the present study, the counteractive activity of 10 phytocompounds of the plant Salvia plebeia against lung cancer’s disease-causing protein SIRT1 was observed.
Methods: The molecules’ structural information was obtained using PubChem and IMPPAT websites, pharmacological assessment was done using SwissADME and toxicity was predicted using ProTox-II. A computational approach was used to study the phytochemical properties of the compounds of Salvia plebeia. Molecular docking was done using PyRx and BIOVIA helped in the visualization process.
Results: The results from the molecular docking showed that nepetin, hispidulin, and eupatorin were the most effective against SIRT1 promoting lung cancer.
Conclusion: The compounds’ ADME/T characteristics were examined to forecast their likelihood of becoming drugs. This docking study can be exploited to create powerful SIRT1 lung cancer inhibitors.
EFFECT OF STRESS ON FEMALE TEACHERS’ PERFORMANCE IN PRIVATE SCHOOLS AT SECONDARY LEVEL
Authors: SARWAR SABA , HAIDER GHULAM
Published: December 2022

Stress can be a painful condition of a person; it may be internal or external. This paper investigates and describes the effect of stress on female teacher’s performance in private schools at secondary level. The objectives of the study were to identify the causes of stress and investigate the effect of stress on female teacher’s performance. The study was descriptive and quantitative in nature. Research based on the survey method. Population of the study was 218 private secondary schools in city Faisalabad. Using the random sampling technique, 50 schools were selected at secondary level and 400 female teachers were included in this study. Descriptive and inferential statistics were applied on the data. It was founded that the female teachers at private sector facing high level of stress. It is concluded that teachers of private secondary schools cope on their level of stress using the different stress management strategies.
ANALYSIS OF THE ROLE OF THE INDEPENDENT AUDITOR ON REDUCING TIME LAGS IN FINANCIAL REPORTING AND EARNINGS MANAGEMENT
Authors: Kiryanto  , PERMATASARI DEVI , TRIYANI AGUS
Published: December 2022

This study aims to analyze differences in the timeliness of financial reporting and earnings management in terms of auditor quality in manufacturing companies on the Indonesia Stock Exchange. The research design of this research is an event study. The population in this study are companies on the Indonesia Stock Exchange. The sampling technique used purposive sampling and obtained a sample of 37 companies so that during the 3 years of observation, the data processed were 111. The hypothesis was tested using a different independent samples test. The results showed that there was no difference in the level of audit delay between companies audited by Big Four and non-Big Four auditors. This shows that the role of independent auditors in reducing audit delay has not been successful. While the second result shows that there are differences in the level of earnings management between companies audited by the Big Four or non-Big Four. This shows that the role of independent auditors in reducing earnings management is successful. This research has implications for corporate governance theory about the importance of good corporate governance to ensure that financial statements are presented fairly.
FACTORS AFFECTING LIFE EXPECTANCY IN BANGLADESH: EVIDENCE FROM 2000–2020 DATA
Authors: ATIA NUJHAT , ZABIR ABDULLAH AL , AL HASAN ABDULLAH
Published: December 2022

Life expectancy is the key metric for assessing population health for any country. Life expectancy has increased rapidly since the age of enlightenment and there are various factors those affect the average life expectancy of people. This study aims to assess the factors affecting life expectancy of people in Bangladesh using panel data from 2000 to 2020. Multiple linear regression analysis was employed to assess the factor those affect life expectancy. Result showed that population is positively and significantly related with life expectancy. In case of per capita income, negative and significant association was found. Inflation and unemployment rate were found negatively associated with life expectancy of people in Bangladesh. Positive association of number of physicians with life expectancy was found for female and for all, but negative relation was observed for male. Result suggests that to increase the life expectancy with increasing number of physician, we need to control unemployment and inflation rate.
USER’S PERCEPTION ON THE ADOPTION OF COMPUTER-ASSISTED AUDIT TOOLS AND TECHNIQUES (CAATTS) IN DETECTING FRAUD AMONG DEPOSIT MONEY BANKS
Authors: ADEYANJU OLANREWAJU DAVID , ADENIKINJU OLAYINKA
Published: December 2022

Innovations in information technology have increased the demand for computer-assisted approaches in carrying out audit functions in organizations. In the banking industry, the use of computer-assisted audit tools and techniques (CAATTs) by auditors in combating fraud has become necessary, in the face of emerging challenges. Therefore, this study seeks to assess perceptions on the adoption of CAATTs in fraud detection among deposit money banks (DMBs) in Nigeria. A structured questionnaire on the study variables was developed and a research survey approach was used to harvest information from auditors and audit managers in 20-listed DMBs and the big-four audit firms in Nigeria. One hundred and ninety-nine copies of the questionnaire were properly filled and the data were analyzed using frequency tables, histogram, bar-chart, and the Kruskal–Wallis test, all with the aid of the Statistical Package for the Social Science. The result of the analysis revealed a moderate adoption of CAATTs among the banks. Further results indicated that the educational level of auditor is a major social-demographic variable influencing adoption of CAATTs. The study concludes that educational exposure is a determining factor in the adoption of CAATTs for fraud detection among banks in Nigeria. The study recommends that policymakers and practitioners in the banking sector should include CAATTs into present auditing practices and future laws.
DARA SHIKOUH AND HIS MODEL OF INTER-RELIGIOUS UNDERSTANDING: AN ASSESSMENT
Authors: MIR JAVAD AHMAD , GN KHAKI
Published: December 2022

Prince Muhammad Dara Shikouh held two-sided position in Indian history as a political figure and as an intellectual personality. However, his political carrier was short and shadowed with failures. However, his contribution toward cultural legacy of Indian intellectual history is profound and amazing especially in the field of inter-religious dialogue. He was the icon of cultural pluralism. Religious exclusim, radical ideology, religious fundamentalism, and communal forces have shadowed the ethos of cultural pluralism and secular tendencies of contemporary world, hence put the peace of the planet in threat. Before Dara Shikouh, many saints, reformers, and liberal ideologists tried to promote mutual cooperation and peaceful coexistence between adherents of various religions, cultures, and ethnicities, but Dara’s efforts were unique in various manners in this regard. He has given a model of religious toleration, which was short lived but still has relevance and can be helpful in many ways in the present times for the promotion of socio-religious harmony between Muslims and Hindus. The present study will try to examine and explore the contribution of Dara Shikouh in the promotion of inter-religious understanding in Indian context through historical analysis of his thought.
Image Classification Using Convolutional Neural Networks
Authors: Srimamilla Srinija
Published: December 2022

Abstract: Convolutional neural networks (CNNs), which are composed of multiple processing layers to learn the representations of data with multiple abstract levels, are the most successful machine learning models in recent years. Within this paper, we present the usage of a trained deep convolutional neural network model to extract the features of the images, and then classify the images. We will study image processing and understand image classification. It has good application prospects.
Overview of Gesture Recognition Based Virtual Mouse and Keyboard
Authors: Rathod Pranav , Garghate Ninad , Gaware Parth , Navale Prof. Vandana
Published: December 2022

Abstract: Researchers around the globe nowadays are concentrating on making our devices more interactive and trying to make the devices more operational with minimal physical contact. Thai research proposes an interactive computer system that uses computer vision to create a virtual keyboard and mouse using only hand gestures. We can utilize a built-in camera or an external camera to track the image of different gestures performed by the person’s hand and according to different gestures conduct mouse cursor operations such as right and left clicks, as well as move the cursor. In addition to that, we can control the console using different gestures such as one finger to select the particular alphabet and a four-finger motion gesture to perform swipe operation in either the left or right direction. This proposed system with no wire or any other external device will act as virtual keyboard and mouse. The only hardware aspect of this system is the webcam which is used to capture images whereas the coding part will be done in python programming language
Comparison of Different Tracking Algorithms in OpenCV
Authors: Sarkar Anshu , Negi Subhash , Dangi Ashutosh
Published: December 2022

Abstract: In today's world, mechanical processes long performed by human vision have been superseded by computer vision, which uses cameras and algorithms to automate processes. Object trackers [2] are an important part of this computer vision. In this article, I tried to compare different kinds of tracking algorithms [5] implemented in OpenCV based on different factors.
A Review on Assessment of Ground Water Quality in Bhosari MIDC Area, Pune
Authors: Tarale Aditya , Dhole Gaurav , Tayde Adarsh , Katlam Devesh , Bankar Chaitanya , Bijwe Prof. Swapnil
Published: December 2022

Abstract: Water is finite and essential resource for survival but as time passes availability of water resources getting lesser and the water quality is deteriorating due to its over exploitation. Water Quality is essential parameter to be studied before supply to human being. For Rural and Urban areas, ground water is the major source from which 94% of drinking water demand is met. The primary goal of the study was to identify the ground water quality and analyze the sustainability for drinking purpose. For the purpose around sample are taken from open well, bore well, hand pump in Bhosari MIDC area.
Review on Human Activity Recognition for Military Restricted Areas
Authors: Patil Prof. Sonali , Shelke Siddhi , Joldapke Shivani , Jumle Vikrant , Chikhale Sakshi
Published: December 2022

Abstract: Human Activity Recognition(HAR) is an active field of research and scientific development in which various models have been proposed using different methods for identification and categorization of activities using Machine Learning. HAR has reached a remarkable milestone in the area of computer vision. Except for applications in human-computer interactions, surveillance systems and robotics, lately it has extended its applicability in the fields of healthcare, multimedia retrieval, social networking, and education as well. It aims to bring latest technologies together to develop complex assistive system with adaptive capability and learning behaviour. HAR interprets human motion using computer and machine vision technologies to identify and detect simple and complex actions in real-world. This paper presents research made for surveillance of restricted military areas. Our scope is to develop a live monitoring system for tracking the illegal activities done in the restricted area for border security, which is an issue of concern since decades. In this we have introduced a deep learning model that learns to classify human actions without having prior knowledge. The features of image or video set are extracted and detected for detected for classifying whether the activity is illegal or not. Many harmful actions can be avoided or at least have their negative effects reduced as a result of the adoption of this concept. Finally, the activity recognition rate showed a good performance as a result of these findings
Survey on Identification and Classification of Informative Tweets During Disasters
Authors: Patil Prof. Sonali C. , Kadam Rushikesh , Sapate Sumit , Khandejod Tejas , Bhosale Prasad
Published: December 2022

Abstract: During the time of crisis, people often post countless instructive and informative tweets on various social media platforms like Twitter. Recognizing informative tweets could be a difficult errand during the fiasco from such an enormous pool of tweets. As a solution to the current issue of sorting out enlightening tweets, we present a technique to perceive the distinguishing calamity related informative tweets from the Twitter streams utilizing the textual content. Our objective is to construct a model by using Natural Language Processing(NLP), Exploratory Data Analysis(EDA) and Support Vector Machine(SVM) and Visual Geometry Group (VGG as Deep CNN) to categorize the textual and pictorial content for the tweets. In this kernel we’ll explore classification of tweets as disaster or non- disaster, using TensorFlow and Keras. The output of the text-based model is consolidated using the late fusion technique to predict the tweet label.
Analysis Performance of Different Routing Protocols for MANETs using NS2 Simulator
Authors: Mishra Sakshi , Tiwari Girish Kumar
Published: December 2022

Abstract: To put it simply, a Mobile Ad-Hoc Network (MANET) is indeed a network of wireless mobile hosts that have formed temporarily without the use of any dedicated infrastructure or centralized administration. The network's nodes are selforganizing & self-configuring because of their mobility. The hosts also serve as routers. Their job is to route information to and from other network nodes. Routing protocols are essential in MANETs because they determine the best ways to get from one node to another. Any ad hoc network's routing protocol should be designed with the ever-evolving topology in mind. For this reason, it is important to set up a path between any two nodes that uses as little bandwidth as possible and as few hops as possible in the routing process. Due to the transient and ever-changing nature of mobile ad hoc networks, designing suitable routing protocols is difficult. For MANETs, routing protocols can be either proactive or reactive. Features and difficulties of MANETs are discussed in this work. Furthermore, both proactive and reactive routing systems, as described earlier, are discussed in detail. Additionally, DSDV, DSR, and AODV are compared with one another in terms of attributes and performance. Finally, certain articles that have dealt with routing in MANET are critically examined.
Comparative Study of Different Machine Learning Classifiers Using Multiple Feature Selection Techniques for Breast Cancer Classification
Authors: Deyol Anurag , . Astu , Shandilya Ojas , Nayak Yash
Published: December 2022

Abstract: This research investigates use of several Machine Learning classifiers under feature selection methods: Without Dimensionality reduction, using Correlation Coefficient Score, using Voting Classifier, and using Tree Based Feature Selection. The different ML Classifiers used in this research are: Logistic Regression, Decision Trees, Support Vector Machine (SVM), Random Forest, K-Nearest Neighbours (KNN) and Naïve Bayes Classifier. These classification models are run on data generated from processing mammography scans to extract shape, texture, size and other spatial features from the tumour contour. The performance of these ML classifiers is evaluated by performance metrics like: Precision Score, Recall Score, F1 Score, and Accuracy Score. The dataset used for the purpose of our study was The Wisconsin Breast Cancer Dataset for both training and testing. The comparison of these results helps us better understand the nature of these classifiers for such classification problems, give us more insights on feature engineering and selection, and their potential use in clinical trials. After computing the results, we were able to get accuracy levels as high as 97.9% and were able to reach accuracy between 90- 95% in general.
Face Mask Detection and Door Unlocking System Using Deep Learning
Authors: Gaddam Akhil Kumar , Menugonda Bhargava Krishna
Published: December 2022

Abstract: Recent viral outbreaks have disrupted people's lives and culminated in a pandemic that largely affected all of humanity. Due to COVID -19, many people are forced to stay home but many people are going outside because of many reasons. As people visit any office they must wear masks. But many people don’t wear them due to reluctance, this project is to check if the employees visiting the office wear masks or not. Making use of deep learning, we have built a system that can figure out if an individual is wearing a mask or not. This system may be used in many different locations, such as offices, malls, hospitals, and even private homes. The use of servo motors allows the door to be locked if any individual is not wearing a mask, and a buzzer can be used to warn the person to put on a mask. By using a Raspberry Pi and other existing systems, we can keep the cost of the system as low as possible, making it accessible to a wide range of people
CO2 Emission Control Using Selective Oxidation of Catalytic Zeolite13x
Authors: Essouradjane Dr. I. , J Jaya Ruse , P Vijaya Subineetha
Published: December 2022

Abstract: For this research, Zeolite 13 x was prepared under high pressure with a mixture of activated charcoal and Natural coconut residue. The isotherms of adsorption and Kinetic curves of the Co2 on the prepared adsorbent materials are measured at 328k, 318 k, 308 k, and 298 K and using the gravimetric adsorption method, and with a pressure range of 0–30 bar[1]. Separately, the mass transfer constants and adsorption activation energy Ea of CO2 on the adsorbents were calculated. The results showed that the amount of CO2 adsorbed on the zeolite 13X was greater. The linear driving force (LDF) model can accurately describe CO2 adsorption kinetics. The mass transfer constants of CO2 adsorption on both samples increased as the temperature increased. The adsorption activation energy Ea for CO2 on the two adsorbents decreased as the concentration increased[2] .
A Review of Brain Tumor Detection
Authors: Bora Khushi , Kerle A. Y. , Phadke Vaidehi , Mujawar Madiha , Anuse Amruta
Published: December 2022

Abstract: Brain tumor is the most commonly occurring malignancy among human beings, so study of brain tumor is important. The segmentation, detection, and extraction of infected tumor area from magnetic resonance (MR) images are a primary concern but a tedious and time taking task performed by radiologists or clinical experts, and their accuracy depends on their experience only. So, the use of computer aided technology becomes very necessary to overcome these limitations. In this paper, we propose a CNN model to identify or detect tumor from the brain magnetic resonance imaging (MRI). The mobile application is designed with a custom designed neural network that uses a combination of deep learning and image processing techniques to identify the presence of a brain tumor in medical images. The application is capable of providing accurate results within a short amount of time and mainly uses a combination of radiomics and morphometric features to evaluate the medical images. The application is also capable of providing support to physicians in diagnosing brain tumors.
Emotion Based Music Recommendation System
Authors: Shirwadkar Aryan , Shinde Pratham , Desai Sahil , Jacob Samuel
Published: December 2022

Abstract: We propose a new approach for playing music automatically using facial emotion. Most of the existing approaches involve playing music manually, using wearable computing devices, or classifying based on audio features. Instead, we propose to change the manual sorting and playing. We have used a Convolutional Neural Network for emotion detection. For music recommendations, Pygame & Tkinter are used. Our proposed system tends to reduce the computational time involved in obtaining the results and the overall cost of the designed system, thereby increasing the system’s overall accuracy. Testing of the system is done on the FER2013 dataset. Facial expressions are captured using an inbuilt camera. Feature extraction is performed on input face images to detect emotions such as happy, angry, sad, surprise, and neutral. Automatically music playlist is generated by identifying the current emotion of the user. It yields better performance in terms of computational time, as compared to the algorithm in the existing literature
NewsIN: A News Summarizer and Analyzer
Authors: Salunke Anushree B , Saini Eisha , Shinde Sanskruti , Tumma Pooja , Dange Suchita Suresh
Published: December 2022

Abstract: A summary condenses a lengthy document by highlighting salient features. It helps the reader to understand completely just by reading a summary so that the reader can save time and also can decide whether to go through the entire document. Summaries should be shorter than the original article so make sure to select only pertinent information to include the article. The main goal of a newspaper article summary is, the readers to walk away with knowledge on what the newspaper article is all about without the need to read the entire article. This work proposes a news article summarization system which access information from various local online newspapers automatically and summarizes information using heterogeneous articles. To make ad-hoc keyword-based extraction of news articles, the system uses a tailor-made web crawler which crawls the websites for searching relevant articles. Computational Linguistic techniques mainly Triplet Extraction, Semantic Similarity calculation and OPTICS clustering with DBSCAN is used alongside a sentence selection heuristic to generate coherent and cogent summaries irrespective of the number of articles supplied to the engine. The performance evaluation is one using the ROUGE metric. The rapid progresses in digital data acquisition techniques have led to a huge volume of news data available in the news websites. Most of such digital news collections lack summaries. Due to that, online newspaper readers are overloaded with lengthy text documents. Also, it is a tedious task for human beings to generate an abstract for a news event manually since it requires a rigorous analysis of the news documents. An achievable solution tothis problem is condensing the digital news collections and taking out only the essence in the form of an automatically generated summary which allows readers to make effective decisions in less time. The graph based algorithms for text summarization have been proven to be very successful over other methods for producing multi document summaries. The summary generated fromknowledge graphs is more in line with human reading habits and possesses the logic of human reasoning. Due to the fast-growing need of retrieving information in abstract form, we are proposing a novel approach for abstractive news summarization using the knowledge graphs to fulfill the need of having more accurate automatic abstractive news summarization and analyzer
Síndrome de Fanconi por agentes quimioterapéuticos: serie de casos y revisión de la literatura
Authors: Ríos Valbuena Juan José , Manjarres Sierra Sofia , Parra Serrano Paola , Castillo Arteaga Mariangel
Published: December 2022

Introducción: múltiples agentes quimioterapéuticos que se usan comúnmente pueden causar síndrome de Fanconi (SF) completo o parcial. El SF es una tubulopatía proximal que produce alteraciones electrolíticas y ácido-básicas, donde se evidencia pérdida de glucosa, aminoácidos, calcio, fósforo, potasio, ácido úrico y se produce acidosis metabólica por pérdida de bicarbonato. El SF usualmente no es reportado y muchas veces no se realiza el diagnóstico.
Objetivo: resaltar la importancia del monitoreo urinario y sérico en pacientes que estén sometidos a quimioterapia, así como describir la literatura reciente acerca de la asociación entre agentes quimioterapéuticos y síndrome de Fanconi parcial o completo.
Presentación de los casos: se presenta una serie de casos de pacientes pediátricos oncológicos con función renal preservada, donde se produjeron diferentes manifestaciones de nefrotoxicidad tubular proximal secundaria a agentes quimioterapéuticos como antimetabolitos, agentes alquilantes y antraciclinas.
Discusión y conclusión: el espectro del SF puede ir de una tubulopatía proximal generalizada o completa a alteraciones parciales en la reabsorción de electrolitos. Se debe reconocer la importancia del monitoreo sérico y urinario en pacientes con lesiones tumorales que van a ser sometidos a quimioterapias con agentes potencialmente nefrotóxicos; asimismo, tener en cuenta la dosis, la frecuencia y la combinación de agentes quimioterapéuticos, con el fin de prevenir y tratar complicaciones de toxicidad renal, incluyendo SF completo o parcial.
Infección urinaria de presentación atípica: caso clínico y revisión de literatura
Authors: Buitrago Rojas M. Carolina , Rozo Ortiz Edwar J. , Vargas Rodríguez Ledmar J. , Acosta Pérez Camila Andrea , Pacheco Olmos Blanka Stefany , Pinilla Vivas Lucas Mateo
Published: December 2022

Introducción: el síndrome de orina púrpura es una presentación clínica poco frecuente en el ámbito de urgencias, caracterizado por coloración anormal de la orina secundaria a una reacción química de algunos patógenos que producen infección de vías urinarias, siendo más frecuente en pacientes con múltiples comorbilidades y diferentes factores de riesgo.
Objetivo: el objetivo de este manuscrito es presentar el caso de un paciente con síntomas atípicos de infección de vías urinarias.
Presentación del caso: varón de 88 años de edad, con antecedente de diabetes mellitus no insulino-requiriente, con hiperplasia prostática benigna que ingresó al servicio de urgencias por síntomas irritativos urinarios asociados a uso de sonda vesical, con orina de coloración violeta en bolsa recolectora. El urocultivo reportó la presencia de Proteus vulgaris multisensible, por lo que se decidió dar manejo con cefepima de 1 gr cada ocho horas, con lo cual se obtuvo una adecuada evolución clínica. 
Discusión y conclusión: el síndrome de la bolsa de orina púrpura es una presentación clínica atípica, pero muy llamativa de la infección urinaria. Esta se genera como resultado de la conversión del triptófano en la dieta en indoxil sulfato que, una vez se elimina por la orina, se transforma en índigo (color violeta) e indirrubina (color rojo), dando este aspecto clínico.
Distribution of Inheritance in the Prengkenin Tradition to the Muslim Community in Bagik Payung Timur Village, West Nusa Tenggara.
Authors: Ali Lalu Haidir
Published: December 2022

Distribution of Inheritance in the Prengkenin Tradition to the Muslim Community in Bagik Payung Timur Village, West Nusa Tenggara The distribution of inheritance through the Prengkenin custom is the designation or attribution of certain assets to heirs by parents which will be owned immediately or after the parents die. The distribution of inheritance through prengkenin produces two patterns, namely, a) grants, designating certain assets that can be owned immediately, and b) wills, assets that will be owned after parents die. The share of each heir is determined in a family meeting witnessed by traditional leaders with the aim of being obedient, good, solah-solah (getting along with siblings) and spur-pacu (maintaining good manners). This illustrates an attitude of tolerance and mutual respect. The division between boys and girls uses the principle of mama meonggok, nina nyenyion (men carry, women carry). It describes the role of a child which will then affect the number of parts. While the reasons for the BPT Village Community to distribute inheritance through prengkenin are, a) avoiding conflicts between heirs in the future. b) distributive justice c) dissatisfaction with the traditional inheritance fiqh system.
Poverty Problem in the Framework of Sustainable Development Goals
Authors: Erdogan Tibet
Published: December 2022

The limited resources that sustainable development treats as the core problem also constitute the main theme it aims to solve. It is the responsibility of the present generation to ensure sustainable development and systematically preserve the natural resources in a deserving manner for the future generation. Eradicating poverty, the first of 17 goals in sustainable development goals, is one of the main economic challenges of many nations. Because sustainable development goals are commitments to the well-being of humanity, it is important that the problem of poverty comes to the top of the agenda. Indeed, poverty is a growing global problem that has existed since time immemorial and has now become a problem not only in developing countries but in developed countries as well. In this study, therefore, the definitions, types, and extent of poverty are discussed in light of the sustainable development goals within the context of Turkey and the world based on numerical data from international organizations.
Russian Estate in Dostoevsky’s Novel Crime and Punishment
Authors:   A.M. Gorky Institute of World Literature of the Russian Academy of Sciences, Bogdanova Olga A.
Published: December 2022

The article analyzes for the first time in the history of research on Dostoevsky the image of the Russian rural estate in the novel Crime and Punishment, in the context of the whole problematic of the book, with an emphasis on plot-compositional and semantic-semiotic aspects. The author previously clarifies the outstanding role of the rural estate as an ideal of life-settlement in the writer’s biography from childhood (Darovoye) to the end of life (the lawsuit about the Ryazan estate in the “case of the Kumanin inheritance”). The appearance of the estate of the Svidrigailovs, the structure of their life, the characters and lifestyle of both spouses are reconstructed according to the details scattered in the text of the novel. The semantics of their names is considered: Arkady and Marfa. It is shown that the name Arkady, used by Dostoevsky in three different works (“A Weak Heart”, Crime and Punishment, The Adolescent) actualizes the idyllic topos of Arcadia from ancient mythology, with which Russian landowner’s estate was traditionally associated. However, the destruction of the “culture of the estates” during the years of liberal reforms (the 1860s) strengthens the socio-critical pathos in the representation of the “estate topos” in Russian literature, which is noticeable in Crime and Punishment. The peculiarity of Dostoevsky’s “estate text” in contrast with I.S. Turgenev, I.A. Goncharov, N.A. Nekrasov, L.N. Tolstoy, etc. is that it is given an ontological dimension. On one hand, the Svidrigailov estate is a pagan topos, a place to satisfy the hedonistic needs of its owners, on the other, it is the locus of Marfa Petrovna’s spiritual growth in repentance, prayer, and posthumous convergence with the New Testament Martha, the sister of Lazarus, resurrected by Christ. In turn, Arkady Ivanovich, being by nature a good person, without the help of Christ he rejected, perishes because of the lustful passion that seized him. The concept of the estate as a pagan topos, embodied by Dostoevsky in Crime and Punishment, was understood and continued in the Silver Age by N.A. Berdyaev, G.I. Chulkov, A.N. Tolstoy, N.S. Gumilev, etc.
Caravaggio’s Death of the Virgin for Santa Maria della Scala in Rome as a “Subject of Controversy”: The Artist’s Intention and the Position of the Clergy
Authors:   Ilya Glazunov Russian Academy of painting, sculpture, and architecture, Borovskaya Natalia F.
Published: December 2022

The article is dedicated to the analysis of the situation that developed around Caravaggio’s painting Death of the Virgin (1606, Louvre, Paris). The priests of Santa Maria della Scala forbade Laerzio Cherubini, who commissioned the work, to place it in the family chapel for which it was destinated. The conflict is considered as a spiritual choice, namely the rejection of the meanings the artist expressed in his reading of the Assumption of the Virgin Mary. In this context, the main iconographical typologies of the subject are here analyzed: the Assumption as the death of the Virgin and the Assumption as Her triumph in Heaven. The innovative features of Caravaggio’s painting are also considered here, as well as the possible spiritual reasons that convinced the clergy of Santa Maria della Scala to reject it.