bluuebunny/crossref_metadata_2025 huggingface dataset:
Constructed Wetland for Low- Cost Waste Water Treatment
Authors: A Anil  , K Sumavalli  , S Charan  , M Mounika  , P Praveen  , A Gayathri  , V M Ganesh
Published: May 2023

Engineered and managed wetland systems that are receiving increasing global attention for wastewater treatment and reclamation. Compared to conventional wastewater treatment plants, constructed wetlands are inexpensive and easy to operate and maintain, and they have strong potential for application in a small community. Constructed wetlands for wastewater treatment have developed significantly in recent decades. As an environmentally friendly treatment method, constructed wetlands can enable effective, economic and ecological treatment of agricultural, industrial and municipal wastewater.
Built-up wetlands are very effective in removing organic matter and suspended matter, while nitrogen removal is relatively low, but could be improved by using a combination of different types of built-up wetlands that meet irrigation reuse standards. Phosphorus removal is usually low unless special media with high sorption capacity are used. Removing pathogens from wetland effluent to meet irrigation reuse standards is a challenge unless additional lagoons or hybrid wetland systems are used. This paper examines and also describes various case studies related to wetlands in Indian cities, including systems that include both built and natural wetlands, habitat creation and restoration.
Clinicopathological Study of Oral Malignancies in Great Eastern Medical School and Hospital
Authors: Dr. B. Tata Rao  , Dr. T. Vineetha  , Dr. Narne Hemanth Sai
Published: May 2023

INTRODUCTION
Throughout the world, oral cancer ranks sixth in terms of prevalence and accounts for 30% of head and neck malignancies. Increased use of cigarettes, alcohol, and other carcinogenic items has been linked to an increase in the incidence of mouth cancer in India. Despite major advancements in surgery, radiotherapy, and chemotherapy methods, advanced stages of the illness are difficult to treat. The study's aims to calculate and analyse the average age, sex, anatomical subsite, aetiology, morphological characteristics, stage of presentation, and histology of oral cancers.
MATERIALS AND METHODS
Patients attending the ENT OPD at Great Eastern Medical School and Hospital were evaluated and studied. All malignant tumours of the lip, cheek, alveolus, tongue, floor of the mouth, and hard palate were included in this investigation. To determine the origin and histological grading of the tumour, all patients underwent wedge biopsy of the lesion, followed by histopathology evaluation of the specimen.
RESULTS
The male to female oral cancer ratio is 3:2. In 50 patients, 22 of them, had buccal cancer. Of the 50 patients, 39 had stage I presentations.
CONCLUSION
Oral cancer incidence peaked in the sixth decade of life, with a 3:2 male to female ratio. The most typical location is the buccal mucosa. 50 patients, or 22 of them, had buccal cancer. The majority of the subjects showed ulcerative lesions and pain. All of the patients exhibited Squamous cell carcinoma as a histopathological type. Due to increasing knowledge and the accessibility of medical treatments, 39 out of 50 patients appeared at stage I.
Optimization of Green Sand-Casting Process Parameter of Foundry Industry by Taguchi Method : A Review
Authors: Gaurav G. Zalariya  , Priyank D. Zaveri
Published: May 2023

A pattern is used to create cavities in a porous, reflective material, typically sand, and then liquid metal is poured into the voids, taking on the shape of the cavities to form the desired metal product. This process is known as casting. Many process variables in the green sand casting process have an impact on the casting quality. The goal of this review paper is to use the Design of Experiments method, such as the Taguchi method, to optimize a green sand casting process parameter. The Taguchi Method is a potent approach to tackling issues that can raise productivity, yield and process performance. Using Taguchi analysis, the impact of various process parameters at various levels on casting quality can be analysed and the various parameters can be tuned to their ideal values.
The Comparative Study of Dark Matter - Dark Energy and Mahamrityunjay Yantra
Authors: Yash Narendra Chaudhari
Published: May 2023

In this paper, we are trying to compare the Mahamrityunjay Yantra with the realities of Modern Physics - The Dark Cosmic energy and we can try to prove that there is pure scientific concept in Mahamrityunjay Yantra. It is well-designed structural & geometrical figure and powerful mathematical tool similar to Shri Yantra. By comparison, our main goal is the spirituality is not only belief but it is pure science. Using such kind of scientific tools and some facts regarding modern physics, we try to establishing the Mahamrityunjay Yantra is generated by using great scientific phenomena as well as mathematical models.
An Overview on Key Players of E-Waste and Available Treatment Options of E-Waste - A Review
Authors: Raghavendra T S  , Dr. Nagaraja S R  , Dr. Mohan K G
Published: May 2023

A variety of products having electric and electronic components are referred to as "e-waste." E-waste is a word used to describe outdated electrical and electronic equipment. Examples include computers, televisions, mobile phones, printers, and white electronic gadgets like refrigerators. Several toxic or harmful materials are known to be present in e-waste, and if they are released during processing, recycling, or disposal, they pose a serious threat to the environment and public health. The mechanisms in place for managing and collecting e-waste, as well as the processes and activities involved in collection, treatment, and disposal, are examined in this proposed research project.
An Examination on Systems in Place for Managing E-Waste with Procedures and Operations Involved in Collection, Treatment and Disposal of E-Waste
Authors: Raghavendra T S  , Dr. Nagaraja S R  , Dr. Mohan K G
Published: May 2023

E-waste is a catch-all phrase that refers to a wide range of products that contain electric and electronic components. Old electrical and electronic equipment is referred to as "e-waste" or "e-waste". Computers, televisions, mobile phones, printers, and white electronic appliances like refrigerators are a few examples. It is well recognised that e-waste contains a variety of toxic or hazardous components that, if released during processing, recycling, or disposal, constitute a major risk to both human health and the environment. This proposed research work examines on systems in place for managing and collecting E-Waste with the procedures and operations involved in collection , treatment and disposal of E-Waste.
Intensity of Use and Quality of Youtube Information on Increasing Motivation in Learning Religion for High School Students
Authors: Supriyadi  , Edy Prihantoro  , Noviawan Rasyid Ohorella
Published: May 2023

The development of new media encourages learning changes for high school students. Continuous penetration attracts students to use more media in their learning activities. This study aims to determine the effect of intensity of use and quality of information on social media Youtube on increasing motivation to study religion for high school students. The intensity of using YouTube media has an influence on students' learning motivation. The increased intensity of using learning media and the quality of information from good information sources can achieve the expected learning objectives. The research method used is quantitative, with descriptive analysis and multiple linear regression analysis. The results showed that increasing the intensity of the use of YouTube media in obtaining religious learning information, and the quality of the information obtained, directly affected the increase in student learning motivation. Students prefer to learn with interesting and repeatable visualizations. The use of media for learning can increase student motivation and achievement in general.
Water Quality Towards Indexing the Drinking Standard of Bottled Water
Authors: Dhiman Santra  , Mitali Sarkar
Published: May 2023

Access to safe drinking water is one of the major concerns around the globe. Due to enormous shortage and unavailability of quality water dependence on bottled water has been growing continuously. The study aims at to evaluate the water quality for suitability from different available sources of drinking water such as branded bottled water (BBW), local bottled water (LBW) and water from public accessible places (PAP). The water quality index (WQI) is evaluated and taken as the guiding parameter. Different water quality parameters (physical, chemical and biological). The result showed that the water quality varies for different water sources and fell into excellent, good, fair and poor categories as per WHO guidelines. The result showed that 98% of BBW, 80% of LBW and only 70% of PAP are excellent for drinking purposes. The study recommends enormous scope of entrepreneurship development of bottled drinking water, maintaining the quality criteria of drinking standard.
Exporting To the Members of Asia-Pacific Economic Cooperation (APEC) - A Direction for Vietnam's Agricultural Products
Authors: Helian Xu  , Nghia Trong Do
Published: May 2023

This research was performed to assess the current state of Vietnam's agricultural exports to APEC economies. The findings reveal that the APEC market is a substantial market for Vietnam's agricultural exports, providing substantial export value and contributing to the stability of Vietnam's export revenue. Additionally, the study analyzed the export status of some crucial agricultural products from Vietnam to key APEC markets including the US, Japan, South Korea, China, and Australia. Based on this analysis, the study has put forward several recommendations to boost Vietnam's agricultural exports to APEC markets, which are among the most significant markets for Vietnam's agricultural products.
An Independent Image of Lord Narsingh at Dudhai, Lalitpur Uttar Pradesh, India
Authors: Dr. Neeta Yadav
Published: May 2023

Narsimha is the fourth incarnation of Vishnu. The name itself, a compound of Nara(man) and Simha(Lion), is the authority for such a form. Only the face is that of a lion while the body is of a man same as in Nrivarah(boar incarnation) images of Vishnu. The story behind the primary form of this incarnatory form of Vishnu is well known, and one of the several attributive epithets of the Avatara, viz., sthauna( from the word sthuna meaning a column) is significant. The present paper is about an image of Narsingh which is about 50 feet high and was not much known to people because of it hidden appearance in a forest area.
Raman Spectroscopic Analysis of Inkjet and Laser Printed Documents to Find the Source of Printing
Authors: Devaseelan S  , Bhat V J  , Saritha D'Souza
Published: May 2023

This work investigates the use of Raman spectroscopy as a non-destructive tool for analysing inkjet and laser printed counterfeits. The primary goal of the study was to determine if Raman spectroscopy is an acceptable tool for demonstrating the link between various specimens of counterfeits suspected of being printed with the same toner on the same machine. Specimens of several kinds of toners printed on various types of paper are studied using a Raman spectroscopy apparatus with an excitation line at 514.5 nm. Cyan, magenta, yellow, and black toners are examined independently for each specimen. The Raman spectra of the cyan and yellow toners were the most distinguishable. The findings reveal that Raman spectroscopy may be used effectively to analyse colour toner printed document counterfeiting, such as banknotes and papers, in order to create linkages between more or less varied specimens of counterfeits by evaluating the characteristics of a colour toner.
Multiple Languages to Sign Language Using NLTK
Authors: P Shriya Rao  , T Vamsi Rohit  , B Manasa  , Prof. V Lingamaiah
Published: May 2023

Sign language involves visual gestures and signs that deaf and mute people adopt as their first conversation. People other than deaf or hard of hearing can also use sign language, like, people suffering from autism, apraxia of speech, cerebral palsy or down syndrome. It entails hand gestures, non-verbal communication or physical movement, and face emotions all at the same time. It may be used by communities who have difficulty to speak, those who can hear but cannot talk, and helps normal individuals to interact with hearing impaired people. There are several groups of hearing-impaired people throughout the globe, and each community's language is unique. American Sign Language (ASL) is utilized throughout United States; British Sign Language (BSL) is a form of communication in the United Kingdom; Australian Sign Language (AUSLAN) is used in Australia; and Indian Sign Language (ISL) is used in India. ISL signs are divided into three categories: one handed, two handed, and non-manual signs. One-handed and two-handed signs are sometimes known as manual signs. Changes in body position and facial emotions provide non-manual indicators. This translator converts English text to Sign language, allowing hearing-impaired persons in India to engage with others. This application takes multiple languages as input and gives signs as information.
E.D.I.T.H Glasses
Authors: Kartik Kumar Mani  , Gauri Ansurkar
Published: May 2023

This research paper explores E.D.I.T.H glasses, an advanced technology that provides users with enhanced vision, facial recognition, data analysis, and communication. The paper discusses the benefits of E.D.I.T.H glasses, as well as the limitations and challenges associated with their use, including privacy concerns, addiction potential, and cost. The paper also proposes possible solutions to address the disadvantages of E.D.I.T.H glasses, such as the addition of new technologies and the implementation of privacy protection, awareness and education, and accessibility. Overall, this paper provides insights into the potential of E.D.I.T.H glasses and highlights the importance of responsible use and ethical considerations.
A Novel Approach on Detecting Phishing Attacks on URLS using ML Techniques
Authors: M. Nirmala  , I. Lakshmi Prasanna  , B. Meghana Sai Rajeshwari  , Ch. Gopi  , A. Vidyadhari
Published: May 2023

The simplest way to obtain sensitive information from unwitting users is through a phishing attack. The phishers' goal is to obtain sensitive information such as usernames, passwords, and bank account information. The proposed system is primarily concerned with detecting and preventing phishing websites. The websites are discovered using a web crawler. Phishing sites that are detected are added to the blacklist. The blacklist only contains fake websites. Web crawling is concerned with obtaining the web page's links. A phishing website can usually be identified by its URL and HTML code. The check website page alerts users to phishing websites and helps them avoid becoming victims of such attacks. This software is extremely useful in identifying and preventing the PHISHING.
Face Anti-spoofing and Liveliness detection using Mobile net and Haar cascade Algorithm
Authors: T Naveen Prasad  , Dr. B. Anuradha
Published: May 2023

A common biometric approach is another way of face recognition techniques. The method is convenient, easy access to the user and direct comparison with other methods of face recognition due to its rapid development in recent years. Resisting spoofing attacks made on face recognition systems requires Face Anti-Spoofing Systems (FAS) techniques. FAS based on deep learning perform exceptionally well and dominates this area with the emergence of large-scale academic datasets in recent years. The data requirements for training effective anti-spoofing models in this field, however, are large, and there is no way to perform live spoofing. Our paper proposes a combined method of face liveliness detection using Haar-Cascade algorithms and mobile-net classifiers. As a contribution to stimulating future research, we present an overview of technique like deep learning-based FASs. It covers numerous novel and insightful Anti-spoofing approach structured using the modules,1) Eye opening action evaluates with the blinking eye systems and 2) mobile-net classifier module which makes use of a pre-trained version. We wrap up our study with gradually merged these two modules and added them to a basic facial recognition system. Software Python-based results comparisons between classifiers are used to explain efficiency of the suggested approach.
Diabetic Retinopathy Detection Through Deep Learning Techniques
Authors: Payal Nannewar  , Dr. Sanjay. L. Haridas
Published: May 2023

Diabetes mellitus frequently results in Diabetic Retinopathy (DR), which results in lesions on the retina that impact on vision. Blindness may result if it is not caught in time. Unfortunately, there is no cure for DR treatment merely preserves vision. Early diagnosis and treatment of DR can greatly lower the risk of visual loss. In contrast to computer-aided diagnosis technologies, the manual diagnosis of DR retina fundus images by ophthalmologists is costly, time-consuming, and prone to error. Deep learning has recently risen to prominence as one of the most popular methods for improving performance, particularly in the categorization and interpretation of medical images. Convolutional neural networks are more frequently utilized in medical picture analysis as a deep learning technique since they are extremely. The most cutting-edge ways for classifying and detecting DR colour fundus photos using deep learning techniques have been explored and examined for this paper. Additionally, the colour fundus retina DR datasets have been examined. There are also discussions on several complex subjects that demand further research.
Molecular Interaction Between Acetamide and Salt Solutions by Thermo-Acoustical Approach
Authors: Gayatri L. Ragit  , Urvashi P. Manik  , Paritosh L. Mishra
Published: May 2023

In Present work the ultrasonic velocity (U) and Density of (Acetamide+ H2O) & (Acetamide + KCL) at various temperature (283.15k to 298.15k) and different concentration it's ranging [0.02-0.2] have been measured with the help of ultrasonic technique. The Potassium Chloride as a solvent it takes as 0.2 mol/kg with the help of measurement data used to evaluate some important thermo-Acoustic Parameter .Such as Adiabatic Compressibility, Acoustic Impedance, Internal Pressure, Relative Association etc The variation in this all parameter with respect to change in molarity and temperature exhibit the existence of interaction and this all parameter shows solute-solvent interaction.
Study of Security Threats, Authentication Protocols and RFID Networks
Authors: Ankesh Kumar  , Dr. K. B. Singh  , Dr. Pankaj Kumar
Published: May 2023

In this paper, we studied about security threats, authentication protocols and RFID networks. Wireless sensor networks (WSN) and radio frequency identification (RFID) are two important wireless technologies that have a wide variety of applications and provide limitless future potentials. RFID facilitates detection and identification of objects that are not easily detectable or distinguishable by using current sensor technologies.
Need of Internet Control and Censorship
Authors: Kartik Gangadhar Kanchan  , Gauri Ansurkar
Published: May 2023

The internet has become an essential tool for communication, information sharing, and economic growth. However, the prevalence of harmful content and illegal activities has led to debates on the need for internet control or censorship. This paper investigates the need for internet control or censorship and discusses the various types of control or censorship that can be implemented, such as filtering, legal measures, content removal, surveillance, self-censorship, website blocking, and DNS blocking. The paper examines the risks and effects involved in internet control or censorship, including the limitation of free speech, impacts on innovation and creativity, privacy concerns, limited access to information, unequal access, loss of trust, and threats to human rights. The paper highlights the importance of balancing the need for protection with individuals' fundamental rights and freedoms and implementing internet control or censorship with caution to ensure that it does not harm democratic principles or infringe on human rights.
Investigating the Effectiveness of Using Blockchain Technology for Secure and Transparent Voting Systems
Authors: Gaurav Ramesh Das  , Gauri Ansurkar
Published: May 2023

The use of blockchain technology for secure and transparent voting systems has been a topic of increasing interest in recent years. This paper aims to investigate the potential benefits and challenges of utilizing blockchain technology for voting and to examine the effectiveness of blockchain-based voting systems. Through a comprehensive literature review, this paper analyses the advantages of using blockchain technology in voting systems, such as security, transparency, and accountability. Additionally, the challenges associated with blockchain technology, such as scalability and coding errors, are discussed. The paper concludes that blockchain technology has the potential to revolutionize voting systems by providing a secure, transparent, and auditable platform for elections. However, further research and development are required to address the challenges and explore new applications for blockchain technology in the context of electronic voting.
Optimization Network Lifetime Through Residual Energy-Based Cluster Head Selection in IoT-Enabled WSNs
Authors: Pradnya Kale  , Avinash Ikhar  , Mohammad Hassan
Published: May 2023

Wireless Sensor Networks (WSNs) have gained an emerging importance in different application domains especially in event tracking and monitoring. The sensor nodes in WSNs are observed to have shorter lifetime due to the continuous sensing and processing operations that result in quicker energy depletion. Small, inexpensive, low-power, multipurpose nodes that are connected to one another form the basis of WSNs. Efficiently gather & communicate data to a washbasin. Cluster Heads (CHs) are used in cluster-based approaches to effectively arrange WSNs for data collection and energy conservation. A CH collects data from cluster nodes and aggregates/compresses it before sending it to a sink. The node's greater responsibility does, however, result in a higher energy drain, which leads to uneven network deterioration. This is made up for by LEACH (Low Energy Adaptive Clustering Hierarchy), which probabilistically alternates CH roles among nodes with energy over a set threshold. CH selection in WSN is NP-Hard because optimal data aggregation with effective energy savings cannot be done in polynomial time. To improve system performance, the synchronous firefly approach, a modified firefly heuristic, is introduced in this paper. A thorough simulation shows that the suggested method performs better than LEACH and energy-efficient hierarchical clustering. In today's world of intelligent networks, the internet of things (IoT) and industrial IoT (IIoT) are extremely important, and they fundamentally use a wireless sensor network (WSN) as a perception layer to collect the necessary data. The difficulty here is the usage of minimal energy for processing and communication. This data is processed as information and sent to cloud servers through a base station. The lifespan of WSNs is increased by the dynamic generation of cluster heads and energy-conscious clustering strategies.
Comparison and Analysis of Liver Cancer Prediction Using ML
Authors: Dr. J Siva Prashanth  , Vodapally Sriharsha  , Salkapuram Sai Chaithanya Teja  , Mohd Abdul Jabbar
Published: May 2023

In diagnosis centers the importance of detecting a cancer on time is vital. With the help of tools like x-ray, MRI machine, medical professionals can detect somatic mutations easily (a somatic mutation is an acquired change in a genetic code of one or more cells). Here we chose a disease that is liver cancer. This deployed model is given data via google Collab, then analyzed in real-time with machine learning model which was pretrained and the result is shown in the google Collab. Models that are used in our project are Logistic regression, Naive Bayes classifier and Random Forest etc., is used to carry out computation for prediction. And we compare these machine learning models accuracies. But we got good accuracy for machine learning model (random forest classifier). Early detection can help in identifying the risk of liver cancer. Our model is helpful for doctors to give timely medications for treatment.
Study of Directivity of The Microstripline Directional Coupler and Design the 6 Db Coupler
Authors: Akansha Kumari  , Dr. K. B. Singh  , Dr. Pankaj Kumar
Published: May 2023

In this paper, we present about the study of directivity of microstripline directional coupler and design the 6 dB coupler. The importance lies in the present study of light weight, small size and lower cost planer transmission structure like MIC’s of communications. Also, in the fact that radio astronomers use these frequencies to study electromagnetic radiation originating from stars & others celestial objects.
An Assessment of Muscular Fitness of Adolescent Children in Imphal East District, Manipur
Authors: Md. Imran Hussain  , Oinam Sonika Devi
Published: May 2023

The main purpose of the study is to find out “An assessment of muscular fitness of adolescent children in Imphal East district” in Manipur. Looking towards the nature of this study, the researcher has investigated the following objectives in perspective: to survey the muscular fitness status of school going girls and boys. For the purpose of this study a total of 225 (n=225) school going students both boys and girls (150 boys and 75 girls) have been delimited for the study. The study was delimited to the boys and girls of 8th to 10th class i.e. school students (Adolescent children). The chronological age of the subjects has been delimited to 12 to 15 years further. The study was further confined to the private schools of Imphal East district. The study was further confined to the Muscular Fitness. Further study was delimited to Kraus Weber test. Before collecting the data, the method and procedure of performing each tests was explained and demonstrated to the subjects. For determining the results of the study percentage method was employed.
Isolation and Characterization of Micro-organisms found in Lignite Coal in Bharuch Mines of Gujarat
Authors: Udeet Ranjan Das  , Meghna Goswami  , Priyanka Patel
Published: May 2023

Gujarat provides a rich source of high-grade lignite coal accomplishing the fuel needs of the national economy, under Gujarat Mineral Development Corporation Ltd. However, the lignite mines in Bharuch district of Gujarat state are reservoirs to a huge microbial diversity, which might be important for various industrial applications. The present study focuses on the isolation and characterization of microorganisms found in the lignite coal from the Bharuch mines of Gujarat. The samples were resuspended in different diluents – water and Phosphate Buffered Saline and cultured on Nutrient Agar. Morphological characterization was done for the isolated strains followed by biochemical characterization for microbial identification. Based on the observations, two species were identified probably as Streptococcus sp. and Staphylococcus sp. on biochemical characterizations. The microbial isolates were further screened for their ability to produce lipase enzyme by qualitative screening tests for lipase production by Phenol Red Olive Oil Agar. All the isolates were tested positive for Lipase enzyme production were subjected to Tween-80 Hydrolysis tests for confirmation. This marks their potential to be studied for development of bioremediation strategies for crude oil contamination in soil or water bodies. This was followed by reviewing the use of such isolates for other applications including antioxidant studies, development of biodegradation strategies, etc.
Comparative Study of Color Image Authentication and Encryption in Cloud
Authors: Mamta Khanchandani  , Dr. Sanjay Buch
Published: May 2023

Cloud computing is the provision of computing and storage capacity to users as a service. Cloud storage is a type of networked online storage where data is stored in virtualized storage pools as a subservice of infrastructure as a service (IaaS) in cloud computing. Cloud computing plays a significant role in the efficient use of resources and in the utilization of service. Regardless of the cloud category (e.g., private, public, hybrid or inter-cloud), all service providers rely on domain server data. As a rapid development and deployment of cloud computing and cloud storage, users are increasingly concerned about security and privacy issues involved in these techniques. This paper provides a summary of basic security problems that consist of conventional security issues. It also addresses the additional challenges resulting from the cloud computing paradigm being used by cloud system providers and consumers. In addition, solutions suggested by some researchers are presented with a focus on cryptographic techniques which support secure storage of the cloud.
To Identify the Risk Factors of Sigmoid Volvulus In Central India Tribal Area Population
Authors: Dr. Atul Kumar Khare  , Dr. Jayantilal Arya  , Dr. Dhananjay Majhi
Published: May 2023

Background: Sigmoid volvulus is a condition in which the torsion of the sigmoid colon around its mesenteric axis leads to acute colonic obstruction that is not timely and properly treated, leading to life-threatening and morbid complications such as bowel ischemia, gangrene and perforation. The aim of the study is to analyze the risk factor of SV, clinical signs and symptoms, treatment, complications and outcomes when it presents as a surgical emergency in a tribal area in central India.
Methods: This is a prospective, single-center, cohort study of 24 patients presenting to the government with features of SV. medical college Shahdol [tribal area of central India] from June 2022 to November 2022. All data formulated in frequency charts.
Results: we develop a prediction model for the high incidence of SV, its presentation and treatment in patients from the trunk region. 21 patients (87.5%) were male and 3 patients (12.5%) were female. The age of the patients varied between 30-80 years, most of them between 50-70 years. The main risk factors were [1] old age, [2] male gender, [3] rural residence, [4] low socioeconomic status, [5] pure vegetarian diet, [6] abuse [mc-alcohol], [7] chronic constipation, [8] chronic pain medication user [9] associated comorbidity [mc-hypertension] [10] high fiber diet, have a higher chance of this. The most common symptoms were absolute constipation and generalized abdominal distension followed by abdominal pain. The most common symptoms were tenderness followed by tachycardia and then fever. All patients were examined by clinical symptoms, plain X-ray of the upright abdomen and blood tests. Vomiting, the most common postoperative complication, followed paralytic ileus. Among the patients, 6 had distended gangrenous SV, 15 patients were found to have distended non-gangrenous, and 3 patients had perforated gangrenous sigmoid colon volvulus. Mostly treated with sigmoidectomy with stoma followed by resection with colorectal anastomosis with flatus bypass. Most patients were discharged, only 3 [12.8%] patients died.
Conclusions: SV predominates in older men. Most patients with SV have a history of alcohol abuse, a high-fiber diet, and low socioeconomic status.
Aggression as a Consequences of Prejudicm
Authors: Dr. Madhu Bala  , Dr.Neetu Chaudhary
Published: May 2023

Aggression is a forceful action, whose intent is to harm another individual. It is characterize by type severity and frequency, more or less it is found in all members of society. Many factors affect the frequency of aggression. Prejudice is one of the factor, whose affect aggression, which is studied in this research. The present study intends that prejudice enhance the level of aggression among college going students. For accomplishment of above objective 100 college students (50 Male & 50 Female) has been taken from different colleges of Agra City. The Prejudice has been measured by prejudice scale developed by Bharadwaj, R.L and Aggression Scale developed by Pal, R., and Naqvi,T., were used for this study. The obtained score was analyzed with the help of Mean, SD and ANOVA. The findings of the present research revealed that racism prejudice is a huge cause of aggressions as well as male and female treated it differently. Many studies evident by their results that prejudice is root cause of aggression in Indian perspective.
Evaluation of Dumped Foods Chealates in Adjacent Pond Water Through Physico-Chemical Analysis
Authors: Khushbu Srivastava  , Md. Jamaluddin
Published: May 2023

These days the waste food may be cooked or expired packaged foods are dumped in the soil at a particular spot that is away from the city. These materials are decomposed by the microbes and resulting contaminated water is called leachate. This can permeate through the soil, and may pollute the surface and ground water present in the vicinity. In the present study, two ponds were selected for physico-chemical analysis of water adjacent to the common waste food dumping site. One pond was 8 M away and another 10 meter. The temperature ranged from 290C to 300C, pH 6.25 to 6.58, TDS 220 mg/L to 360 mg/L, turbidity 251.25 to 286.85 NTU, conductivity 305 µs cm to 286 µs cm, alkalinity 154 mg/L to 186 mg/L, D.O. 4.6 mg/L to 6.4 mg/L, Chloride 38.65 to 32.54 mg/L, total hardness 305-380 mg/L, calcium hardness 45 mg/L to 58 mg/L, Magnesium hardness 92 mg/L to 125 mg/L respectively. Heavy metals like Fe ranged between 0.640 to 0.850 mg/L, Cadmium 0.306 mg/L to 0.525 mg/L. The heavy metals like Pb, Cu, Mn were not found in any pond water studied here.
Skin Lesion Classification using Optimized Skin Net Algorithm
Authors: Jujare AjayKumar  , Dr. R. V. S. Satya Narayana
Published: May 2023

Skin cancer is one of the much general human diseases realized in all over the world. About five million newer cases of this diseases are realized in the US every year. Early detection and assessment of lesions in the skin are of utmost clinical importance, however, significant issue gets raised whenever there is nil co-ordination between the skin specialist and patient. As a result, a unique deep structure known as Optimized Skin Net is proposed in this work to provide faster screening resolution and help to recently gained physicians in their efforts to make clinical diagnoses of skin-related malignancy. The major motive behind the design and development of Optimized Skin Net is based on two levelled pipelines. Those two levels include where in the lesion segmentation and the lesion classification. The images of the skin diseases have been taken from the publicly available dataset to train and test our deep learning model. Finally, we will be presenting the simulation results along with the outcomes by means of several performance measures like Accuracy, Sensitivity, Specificity, Error rate, False Positive Rate, and ROC.
Diabetic Retinopathy Detection Using Optimized Random Under Sampling (ORUS) Algorithm
Authors: Kanna Swarnalatha  , Dr. I. Kullayamma
Published: May 2023

This paper provides the detection of diabetic retinopathy (DR) from the different features, the dataset is a combination of both proliferated and non-proliferated diabetic retinopathy. The people who at the age of above 60 and having the diabetes will face this diabetic retinopathy problem. This is mainly occurred due to sugar builds up on the blood vessels. This is because of pancreas doesn’t produce proper level of insulin. The early detection of diabetic retinopathy plays very important role, with this early detection it can be able to reduce the level of severity, after that by taking proper medications and all it can be able to control. In this kind of detection process every feature is very important, with these features it can be able to classify whether the person is diabetic retinopathy prone or not. To detect the diabetic retinopathy many algorithms are used. To increase the sensitivity and to reduce error rate, by using optimized RUS boost algorithm.
Study the Optical and Structural Properties for Nano CdO Prepared by Plasma - Get Technique
Authors: Omar. A. Gadaan  , Kadhim A. Aadim  , K. H. Razyg
Published: May 2023

In the present study, nanoparticles of cadmium oxide have been prepared from bulk structures by the induced plasma technique at different bombardment times. These nanoparticles were prepared as thin layers on glass substrates with different thicknesses (prepared at different times of shelling). After that, they were analyzed with a UV-visible spectrophotometer, scanning electron microscope (SEM), atomic force microscope (AFM), and X-ray spectrum. When the optical properties and their constants were measured, the energy gap of the films increased in the range of 2.94–3.2 eV with bombardment times. The examining images of AFM and SEM show a clear variation in the structure, where the roughness varies with bombardment time due to the variation in the nanoparticles' diameter. Finally, the x-ray spectrum shows that the layers are completely crystalline.
Review Paper on Face Mask Detection with Body Temperature Monitoring Using IoT
Authors: Bharath Tewar  , Rohan Patel  , Vaishali Deshmukh  , Komal Thote  , Rutika Kunjam  , Pravin Lakhe
Published: May 2023

The huge family of viruses known as coronaviruses, which are common, contagious, and hazardous to all humans, have become more prevalent in recent years. It spreads from one person to another by exhaling the contagious breath, which then deposits virus droplets on various surfaces. These droplets are then breathed by additional persons, who eventually become infected. As a result, it is essential that we protect both ourselves and our loved ones from this situation. We may practice safety measures like keeping a safe distance from others, washing our hands every two hours, applying hand sanitizer and most importantly wearing a mask. Therefore, as a precaution, the World Health Organization (WHO) suggested wearing masks in crowded locations. In some places, infections have spread quickly due to improper facial mask usage. We required a dependable solution for mask monitoring to overcome this problem. Face mask detection software based on AI and image processing techniques can help government organizations that are working to make wearing a face mask required. For face detection, helmet detection, and mask detection, the approaches mentioned in the article utilize Machine learning, Deep learning, and many other approaches. It will be simple to distinguish between persons having masks and those who are not having masks using all of these ways. The effectiveness of mask detectors must be improved immediately.
Dynamic Modelling of Common Rail Diesel Engines Combined with Amesim and Simulink
Authors: RyongSik O  , Jiangwei Chu  , Choluk Ri  , Hong Li  , MyongSu Sim  , Yongchol Kim  , SunGol Ryu
Published: May 2023

The fuel injector of the diesel engine is the core component of the high-pressure common rail system of the diesel engine. The ECU performs flexible control on the fuel injector to realize the precise adjustment of the fuel injection rate and fuel injection quantity of the engine under different working conditions, and achieve the purpose of reducing fuel consumption and noise. The internal structural parameters of the fuel injector have a significant impact on the fuel injection rate, and it is often necessary to make a large number of modifications to the structural parameters of the fuel injector in order to meet the increasingly stringent emission regulations. In this paper, in order to analyze the effect of various structural parameters of fuel injectors on fuel injection rate, increase fuel injection rate, and obtain the best effect, AMESim and simulink software are used to build a simulation model of a common rail fuel injection device and a diesel engine. This model provides a theoretical basis for the structure design of the fuel injector.
Mobile Applications to Promote Mental Health among Breast Cancer Patients: A Rapid Review
Authors: BorjAlilu Somayyeh , Karbakhsh Mojgan , Lotfi Mehrnoush , Haghshenas Elham , Kaviani Ahmad
Published: May 2023

Background: The use of mobile services for health promotion is rapidly increasing. The purpose of this paper is to review studies using cell phone applications as an intervention to improve mental health in breast cancer patients and to provide an overview of their effectiveness.
Methods: A systematic search in PubMed, Scopus, Web of Science and PsycINFO was performed to retrieve relevant studies published from 2010 to 2020. The criteria for inclusion were included in any study illustrated about the breast cancer, English papers and mental health. Related articles were selected based on inclusion and exclusion criteria. The survey and meta-synthesis of included articles were conducted based on predefined classification.then From the selected studies, the following information was extracted: authors, publication date, study objectives, study population, study design, interventions, and results.
Results: 81 papers were retrieved with databases and 46 articles were reviewed. At the end, 7 articles were selected for analysis. We identified 7 RCT studies that utilized a mental health application as a mental health intervention in breast cancer patients. The results showed all of studies effectiveness of the mobile apps on the stress, depression, anxiety, self-efficacy, social support, resiliency and coping with breast cancer.
Conclusion: This study demonstrates the important role of mobile apps in promoting mental wellness of breast cancer patients. Mobile app interventions can be implemented to decrease depression through positive impacts on stress management, self-efficacy, resilience and breast cancer adaptation. We recommend that the role of mobile apps for the prevention and rehabilitation of mental health aspects in breast cancer patients would be examined through a blended delivery management approach in future studies.
ДІДЖИТАЛІЗАЦІЯ СУБ’ЄКТІВ БІЗНЕСУ НАЦІОНАЛЬНОЇ ЕКОНОМІКИ
Authors: Небога Т.В. , Лабунська О.Б.
Published: May 2023

У статті розглянуто процес діджиталізації суб’єктів бізнесу в Україні на основі використання інформаційно-комунікаційних технологій, проаналізовано стан охоплення їх діяльності мережею Інтернет за видами економічної діяльності. Показано, що діджиталізація суб’єктів бізнесу національної економіки можлива на основі ефективної інноваційної інфраструктури, а управління бізнесом в умовах діджиталізації потребує формування цифрової екосистеми, необхідною складовою якої є наявність швидкісної мережі Інтернет. Зроблено висновок про те, що найбільш діджиталізованими в Україні є сфери інформаційно-комунікаційних технологій; наукових досліджень та розробок; професійної, наукової та технічної діяльність, а перешкодою для процесу діджиталізації суб’єктів бізнесу в Україні є низький рівень розвитку науковою концентрації, цифрових технологій, технологічної бази та ІТ-інтеграції.
Fisher’s Linear Discriminant Function Analysis and its Potential Utility as a Tool for the Assessment of Health-and-Wellness Programs in Indigenous Communities
Authors: Liberda Eric , Zuk Aleksandra M. , Martin Ian D. , Tsuji Leonard J. S.
Published: May 2023

Diabetes mellitus is a growing public health problem affecting persons in both developed and developing nations. The prevalence of type 2 diabetes mellitus (T2DM) is reported to be several times higher among Indigenous populations compared to their non-Indigenous counterparts. Discriminant function analysis (DFA) is a potential tool that can be used to quantitatively evaluate the effectiveness of Indigenous health-and-wellness programs (e.g., on-the-land programs, T2DM interventions), by creating a type of pre-and-post-program scoring system. As the communities of the Eeyou Istchee territory, subarctic Quebec, Canada, have varying degrees of isolation, we derived a DFA tool for point-of-contact evaluations to aid in monitoring and assessment of health-and-wellness programs in rural and remote locations. We developed several DFA models to discriminate between those with and without T2DM status using age, fasting blood glucose, body mass index, waist girth, systolic and diastolic blood pressure, high-density lipoprotein, triglycerides, and total cholesterol in participants from the Eeyou Istchee. The models showed a ~97% specificity (i.e., true positives for non-T2DM) in classification. This study highlights how varying risk factor models can be used to discriminate those without T2DM with high specificity among James Bay Cree communities in Canada.
Hubungan Jarak Puting ke Lantai dengan Tingkat Mastitis dan Kualitas Susu Berdasarkan Uji Reduktase Susu Sapi Perah PFH
Authors: Ulfaturrohmah Rizka , Surjowardojo Puguh
Published: May 2023

Tujuan dari penelitian ini adalah untuk mengetahui hubungan antara jarak puting ke lantai dengan tingkat mastitis menggunakan Callifornia Mastitis Test (CMT) dan kualitas susu berdasarkan uji reduktase. Penelitian ini menggunakan 144 puting susu dari 36 sapi perah PFH pada laktasi ke 3-5 dari 13 peternak lokal di KPSP Setia Kawan, Nongkojajar, Pasuruan, Jawa Timur. Penelitian ini dilaksanakan pada tanggal 24 Agustus – 24 September 2021. Metode yang digunakan adalah studi kasus dengan observasi langsung. Pengambilan sampel dilakukan secara purposive sampling. Data dianalisis menggunakan regresi dan korelasi sederhana pada software Microsoft Excel 2010. Hasil penelitian menunjukkan bahwa persentase puting yang tidak terinfeksi mastitis sebesar 70,8%. Sedangkan persentase kejadian mastitis puting susu pada level 1-4 adalah 16%, 10,4%, 2,1 % dan 0,7%. Hasil uji reduktase menunjukkan bahwa rata-rata kualitas susu yang dihasilkan cukup baik dan termasuk dalam kategori grade 1 dengan perkiraan jumlah bakteri 500.000 sel/ml. Hubungan antara tinggi puting dari lantai dengan tingkat mastitis pada 1-4 tidak cukup kuat. Terdapat korelasi yang rendah antara jarak puting ke lantai dengan tingkat mastitis dengan persamaan Y = 53,71 – 2,68 X dan koefisien korelasinya rendah (r = -0,36). Terdapat hubungan yang rendah antara jarak puting ke lantai dengan kualitas susu dengan persamaan Y = 45,62 + 1,12 X dan koefisien korelasi yang rendah (r = 0,29). Kesimpulannya adalah jarak puting ke lantai dengan tingkat mastitis dan kualitas susu sapi PFH memiliki hubungan yang rendah. Semakin jauh jarak puting ke lantai, semakin rendah risiko mastitis dan semakin baik kualitas susu.