bluuebunny/crossref_metadata_2025 huggingface dataset:
Tingkat Pengetahuan Dan Sikap Masyarakat Tentang Penyakit Kecacingan Berpengaruh Terhadap Kejadian Penyakit Kecacingan
Authors: Hadijah Saidatina , Khair Abdul , Noraida Noraida
Published: January 2021

Worm disease is an infectious disease caused by parasites in the form of worms. The cause is soil-transmitted helminthiases (STH), which are intestinal worms that are transmitted to humans through soil contaminated by feces. STH infection can cause people to experience malnutrition. Severe infections can interfere with physical growth and cognitive development of sufferers. The purpose of this study was to determine the correlation between the level of knowledge and people's attitudes about helminthiasis with helminthiasis. This type of research was analytic with the research design using the case control method. The sample in this study was 38 respondents consisting of 19 people with helminthiasis and 19 did not suffer from helminthiasis. Data analysis using chi-square test. Chi-square test results showed the p-value for the correlation of the variable level of knowledge of 0,312> alpha (0,05) and the correlation of the attitude variable of 0,501> alpha (0,05) it can be stated that there is no relationship between the level of knowledge and attitudes of the community about the disease helminthiasis with the incidence of helminthiasis in the working area of cempaka puskesmas. If this research is to be continued, in order to be better, then the research sample should be expanded and other possible factors become one of the causes of STH infection such as clean and healthy life behavior, latrine quality, water quality, soil quality and others.
Celery (Apium graviolens L.) Herba Extract Capsule Formulation as Anti-Ulcer
Authors: Sutiswa Shandra Isasi , Rahman Asep Abdul
Published: January 2021

The use of medicinal plants for medicine has been prevalent since ancient times and various plants are used for public health. One of the plants that is often used in herbal medicine is celery, either directly in the form of vegetables or as an extract from the Apium graveolens L plant. Celery extract has previously been given to white mice, and can significantly protect the gastric mucosa and suppress gastric acid secretion. Traditional medicine derived from plant extracts is generally more desirable in tablet or capsule dosage forms. The objective of this study is to determine the best filler in the celery herb extract capsule formulation. This study used a pure experimental method using celery herb extracts which were formulated in capsule dosage forms. The powder fillers used in this formulation are Avicel 101, Avicel 102, and Amylum maydis. The extract capsules were then evaluated for uniformity of weight and disintegration time. Based on the evaluation results, the capsules formulated with Avicel 102 filler gave the best results with an average weight uniformity of 380.98 ± 4.41 mg and disintegration time of 2.64 ± 0.31 minutes. It is advisable to continue the evaluation of the dissolution test for the capsule preparation which gives the best result.
Antibacterial Mouthwash of Kesum Leaf (Polygonum Minus Huds) Essential Oil on Streptococcus Mutans and Sanguinis
Authors: Rezki Sri , Halimah Halimah
Published: January 2021

Polygonum Minus Huds methanol extract from several previous studies has antibacterial properties in bacteria in the mouth such as Streptococcus Mutans, Staphylococcus Aureus, Salmonella Typhi, Escherichia Coli, etc. The cause of gingivitis is Streptococcus Sanguinis and anaerobic bacteria in the subgingival, which is porphyromonas gingivalis. Polygonum Minus Huds has the potential to be an antibacterial mouthwash for bacteria that causes caries and gingivitis. This research aims to make a mouthwash based on the essential oil of Polygonum Minus Huds and determine its antibacterial properties in mouthwashes of 0.025% and 0.05% concentrations to find antibacterial activity on Streptococcus Mutans and Sanguinis. The research was conducted in June 2019 at the Chemistry Laboratory of Faculty of Mathematics and Natural Sciences, the University of Tanjungpura in Pontianak Lab and Health Polytechnique Pontianak Integrated Lab. Design Quasi-experimental research used post-test only control group design, mouthwash formulation with essential oil concentrations of 0.025% and 0.05%, positive control using non-alcoholic mouthwash, and negative control (Aquades). Statistical analysis was performed univariately. The results showed that the best mouthwash was 2.5 ml of Tween 80 and 2.5 ml of glycerin. The results showed the essential oil gargle of Kesum leaves (Polygonum Minus Huds) at concentrations of 0.05%, and 0.02%, which is the bacteria of Streptococcus Mutans and Streptococcus Sanguinis were not able to inhibit the growth of the two bacteria. Increasing the amount of concentration or making mouthwash in other forms is expected to increase its antibacterial effect.
The Effect of Curfew Enforcement on Health Care Provision in COVID-19 Pandemic
Authors: Durmuş Ensar , Guneysu Fatih
Published: January 2021

The COVID-19 disease occurred in the final weeks of 2019. As part of the fight against COVID-19, countries have taken actions such as travel restrictions, suspension of border crossings and international flights, voluntary home isolation, public activities restriction, and curfews. The objective of this study is to identify the effect of curfew enforcement during the COVID-19 pandemic to determine and identify whether curfew has a positive effect on the health care workload. The number of patients admitted to Sakarya University Training and Research Hospital, their means of arrival, hospitalization-discharge, demographic characteristics were examined retrospectively for the period of curfew in April and May 2020 and the corresponding days in 2019. The significant statistical differences between the two periods were analyzed. The results of this research reveal that24.488 patients were admitted to our emergency department. Of these patients, 12813 (52.3%) were male, 11675 (47.7%) were female. The number of emergency department admissions of the pediatric age group decreased from 1822 (8.9%) to 33 patients (0.8%). Moreover, the number of patients admitted to the emergency service in the related period of 2019 was 20548 (83.9%), while this figure decreased to 3940 individuals (16.1%) during the curfew period. It was impliedthat curfew could reduce the unnecessary admissions to hospitals, the number of ambulance usage, and provide a positive contribution to the reduction in traumas, car accidents, work accidents, and forensic cases during pandemic.
Teaching Feminism: Between Marginalisation and Feminist Persistence
Authors: Perger Nina , Mencin Metka , Tašner Veronika
Published: December 2020

The aim of this article is to gain insights into how feminist principles, content and practices persist in higher education in times of neoliberal ideology, post-feminism and the intensification of extreme-right wing politics. The main issue the article seeks to address is the state of gender-related and feminist topics in higher education. Their state should be addressed at the intersections of: 1) social context; 2) institutional settings (formalised and officialised gender-related curricula); and 3) intra-institutional practices, such as backlashes to and sanctions against feminist practices. In order to achieve this, we start by briefly sketching the beginnings of women’s studies worldwide, and the ambivalences of institutionalising feminist knowledge. We proceed by focusing our discussion on the contemporary social situation, significantly marked by right-wing politics and neoliberal ideology, aiming to constitute feminism as irrelevant on the grounds of an individualised ‘brave new world’, where everything seems possible, achievable and accessible. We continue by focusing our attention on the state of feminist topics in the context of Slovenian higher education. This part is based on document analysis of curricula of various universities in Slovenia (a description of their study courses and programmes: the research shows that gender-related topics are still marginalised within higher education as feminist topics remain rare and optional rather than obligatory. After discussing the barriers and obstacles facing feminism, we conclude with a discussion on feminist persistence and resistance in higher education: it is still persisting despite the backlashes that seek to extort a price for doing feminism, even if feminist practices are forced to take a more subtle form.
Awareness, Understanding, and Usage of Islamic Banking Products and Services: A Case of Customers' Satisfaction Towards Islamic Banking in Pakistan
Authors: Lodhi Rab Nawaz
Published: January 2021

The Islamic banking sectors in Pakistan are experiencing a challenging phase of progress due to intense competition with conventional banks. The primary purpose of this study is to articulate the literature of Islamic banking in Pakistan by investigating the influence of the level of awareness, understanding and usage of Islamic banking products and services on the satisfaction level of its account holders. For achieving this objective, a sample of 400 respondents is chosen through purposive sampling technique from the target population from Islamic banks in Pakistan. The calculated results of PLS-SEM Bootstrapping and SPSS revealed a significant and positive influence of the awareness and understanding level of account holders of Islamic banks on their satisfaction levels. However, the Islamic bank usage by account holders has no impact on their satisfaction level due to the provision of less innovative products and services as compared to conventional banks. This study thus enhances the literature regarding the aforementioned aspects of customer satisfaction. It simultaneously draws an attention to the area that is suitable for the prosperity and progress of the Islamic banking system of Pakistan. The results of this study also give valuable information and helpful guidelines for Islamic banks to formulate innovative strategies of products and promotional policies to retain and attract potential customers. Though this study is broadening the scope of Islamic banking literature, it is not considering the scenario of conventional banks. Islamic banks can manage and enjoy the competitive edge if similar information about conventional banking is available for comparison purposes, which provides the scope of study in future research.
STRATEGI USAHA BIRO PERJALANAN WISATA SUMATERA BARAT DALAM MENGHADAPI KRISIS PANDEMI COVID-19
Authors: Sari Rini Eka , Yanita Novi , Neswardi Sepri
Published: January 2021

The study is aimed to formulate the stategies of West Sumatera’s Tour Operator in facing the COVID-19 Pandemic crisis. The limitation of mobilization in travelling to break the chain of the spreading of COVID-19 Pandemic, has paralyzed the Tour operator business in all regions including in West Sumatera. The strategies are formulated using SWOT analysis (Strength, Weakness, Opportunity, Thread), by minimizing the weakness and thread and maximizing the strength and opportunity. Research data collection is conducted through in depth interview with some tour operator business stakeholders in West Sumatera, using purposive sampling method. Then, the data is analyzed descriptively, by noticing the strength, weakness, opportunity and thread factors of tour operator business in West Sumatera to formulate the strategies in facing the COVID-19 Pandemic crisis. The result reveals that there are several strategies conducted by tour operators in West Sumatera in the stage of short-term strategies, medium term strategies and long-term strategies to sustain the business.
Electrolyte Imbalance and Its Effect on QTc Interval in Patients Hospitalized with COVID-19
Authors: Çap Murat , Altıntaş Bernas , Bilge Önder , Işık Ferhat , İnci Ümit , Altındağ Rojhat , Akyüz Abdurrahman , Süleymanoğlu Muhammed , Aslan Burhan , Kaya İlyas , Adıyaman Mehmet Şahin , Altıntaş Derya Deniz , Kanbal Neşe , Baysal Erkan
Published: December 2020

Objective: Studies have shown that electrolyte abnormalities can be seen in Coronavirus disease 2019 (COVID-19) patients and are associated with the severity of the disease. We aimed to investigate the electrolyte imbalance such as hypocalcemia and hypokalemia in patients hospitalized with COVID-19 and its effect on the QTc interval.

Materials and Methods: 185 hospitalized patients with COVID-19 whose diagnosis was confirmed by a real-time reverse transcriptase-polymerase chain reaction and/or Computed Tomography of the chest were included in the study. The potassium and calcium measurements on the admission and third day of hospitalization were recorded. The QTc interval measurement was performed on the admission (QTc-B) and the 3rd-day (QTc-AT) electrocardiography.

Results: The median age was 43 (31-56 IQR) and 102 (55.1%) of patients were male. Median baseline potassium level was 4.0 mEq/L (3.7-4.3 IQR) and corrected calcium level was 8.48 mg/dl (8.24-8.73 IQR), whereas the 3rd-day median potassium level was 4.2 mEq/L (3.9-4.5 IQR) and corrected calcium level was 8.42 mg/dl (8.16-8.70 IQR).The median QTc-B interval was found as 427 ms (409-447 IQR) whereas the median QTc-AT interval was found as 438 ms (414-459 IQR). Median 9 ms (-5- 28 IQR) prolongation was observed in the QTc interval, which was statistically significant (p <0.001). There was a significant relationship between QTc-AT and baseline potassium level, potassium level on the 3rd day (respectively β coefficient= -2.083, 95% CI -27.134- -0.577, p value= 0.041, β coefficient= -2.547, 95% CI -27.925 - -3.385, p value= 0,013 ) but there was no significant relationship with baseline and 3rd day calcium level. (respectively β coefficient= -0.848, 95% CI -22.102- 8.919, p value= 0.399, β coefficient= 0.707, 95% CI -8.685 – 20.784, p value= 0.415).

Conclusion: Electrolyte disorders such as hypocalcemia and hypokalemia can be seen in patients hospitalized with COVID-19. After treatment, a significant prolongation was observed in the QTc interval and a significant relationship was observed between QTc-AT and potassium levels, but no significant relationship with calcium was observed.
Assessing Girl Child Education and Parental Consciousness and Involvement in the Ashaiman Municipality
Authors: Gyasi Priscilla Adomako , Chen Yinghua , Amissah Ekua Baiden
Published: January 2021

The 1992 Constitution of Ghana guarantees Free and Compulsory Basic Education to every child of school going age irrespective of gender, religion, ethnicity or geographical location however, this is far from reality as some children in Ghana lack education especially the girl child. Hence the objective of the study is to assess parental consciousness and involvement in the education of their girl child in Ashaiman Municipality and identify intervention measures specifically to improve girl education in the area. The study employed both quantitative and qualitative research methods where interviews and questionnaires were used for data collection as well as utilizing the multistage sampling and purposive (focus group discussion) sampling methods for the selection of the respondents. The analysis of the data was done using Descriptive statistics and the Thematic Analysis (qualitative) using Microsoft Excel. According to the study, poverty, lack of awareness, negative behaviours of household heads toward female education among others correspond to the increased girl dropout in the community. Intervention measures such as awareness creation, provision of financial resources and adequate teaching and learning materials, eliminating retrogressive cultural practices, among others have been proposed.
Views of People of Ahmedabad Regarding Use of Social Media for Business Advertising
Authors: Chakma Biltan , Galib Intekhab Rahman , Chakraborty Utsho , Saha Sowrav , Degadwala Sheshang
Published: January 2021

Social media play an important role now a days. Social media is not only used to maintain connection between friends, family members, relatives and known persons but also used by majority of the companies, institutions, business firms for promotion and marketing works to increase sales. Facebook, Twitter, LinkedIn, Instagram, Snapchat, YouTube, Google Plus are some of the important and popular social media which is used by huge number of people worldwide. No company/business firm can think about success without the use of social media now a days. Social Media Marketing is a part of Digital Marketing which is an emerging field. Traditional marketing is losing its appeal day by day. Conducting marketing and promotional works through social media is cheaper, quicker and more attracting. Our research shows that customers prefer social media more to purchase products and business firms are also using social media rapidly and getting success. In our research work, we also found customer satisfaction level and the level of utilization of different social media.
A Review : Classification of Food Grains and Quality Prediction
Authors: P P Mahalaxmi , Hanabaratti Kavita D.
Published: January 2021

This review paper discuss about recent techniques and methods used for grain classification and grading. Grains are important source of nutrients and they play important role in healthy diet. The production of grains across worldwide each year is in terms of hundreds of millions. The common method to classify these hugely produced grains is manual which is mind-numbing and not accurate. So the automated system is required which can classify the verities and predict the quality (i.e. grade A, grade B) of grain fast and accurate. As machine learning had done most of the difficult things easy, many machine learning algorithms can be used which can easily classify and predict the quality of grains. The system uses colour and geometrical features like size and area of grains as attributes for classification and quality prediction. Here, several image procession methods and machine learning algorithms are reviewed.
Smart Accident Detection Device
Authors: Krushna Hare , Mohammad Nusrat , Mundhe Susmita , Kothawale Suhas
Published: January 2021

(We live in a society where accidents happen daily and regularly due to which people loss their lives because they didn’t get the medical assistance at right time. In India more than one and a half lack persons die due to road accidents per year. Ina solution to this we have developed Smart Accident Detection Device (SADD) which provides medical assistance in time and save the valuable human life. This gadget can be fitted into Vehicles like Bus, Car and so on. Whenever any type of accident is detected this device inform to the nearest Hospital as well as police station, then after identifying patient it also informs to the Patient’s family member, through which we can save the human life).
Customer Churn Prediction in Telecommunication Industry Having Data Certainty
Authors: Raj V R Reji , Azad .V Rasheed Ahammed
Published: January 2021

Customer Churn Prediction is a challenging activity for decision makers because most of the time, churn and non-churn customers have similar features. It is one of the major concerns for large companies, especially in the field of telecommunication field. Churn can be considered as a binary classification. The classifiers shows different accuracy levels at different zones of data. In such cases, a correlation can easily be observed in the level of classifier's accuracy and certainty of its prediction. So a mechanism to estimate the classifier’s certainty for different zones within the data is needed so that the expected classifier’s accuracy can be estimated. Here the classifier’s certainty estimation is done using six sigma rule of normal distribution applied on the correlation values of all features in the dataset. Based on this the dataset is grouped into two categories such as (i) data having high certainty, and (ii) data having low certainty. Based on these criteria, classifier accuracy is estimated in the high distance zone. From the different evaluation measures like accuracy, f-measure, precision, recall and Receiving Operating Characteristics (ROC) area, the performance of classifier is evaluated. Then by applying a k fold approach the certainty of the classifier decision is estimated.
A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring
Authors: Sun Weihai , Han Lemei
Published: January 2021

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.
L(R) Cyclic Semigroups Satisfying The Identity : abc = ac
Authors: Priya D. D. Padma , Shobhalatha G.
Published: January 2021

Semigroups being one of the algebraic structures are sets with associative binary operation defined on them. The theory of semigroups satisfy additional properties like commutative, Left(Right) cyclic i.e., L(R) cyclic , Left(Right) identity, Left(Right) cancellative and many others. In this paper we determine different structures of semigroups like normal, seminormal, quasinormal, semiregular and others by using the identity abc = ac with the concept of L(R) cyclic properties of semigroups.
Emerging Trends In E-Tourism and Its Impact on Tourism Sector
Authors: Okwemba Rose Khamusali , Nambiro Alice
Published: January 2021

E-Tourism is the adoption of information technology in the field of tourism by transforming the processes thereby achieving effectiveness and efficiency in promoting the sector. Internet has revolutionized flexibility in both consumer choice and service delivery processes. Customers have become much more sophisticated and discerning because they have experienced high levels of service and standards of living has grown considerably. As a result, tourists have become more demanding, requesting high-quality products, value for their money and time, however many tourism sector are still using the traditional methods thereby not attracting many tourist both internal and external This paper will focus on emerging trends in E-tourism and get its impact on tourism sector. This development has changed the process within the tourism sector while reconfiguring the landscape of commerce. The e-tourism takes different forms accessed by the customers through different channels and distribution systems.
Predicting and Analysis of Phishing Attacks and Breaches In E-Commerce Websites
Authors: Mohan N. Ram , Kumar N. Praveen
Published: January 2021

Analyzing cyber incident data sets is an important method for deepening our understanding of the evolution of the threat situation. This is a relatively new research topic, and many studies remain to be done. In this paper, I reported a statistical analysis of a breach incident data set corresponding to 12 years (2005–2017) of cyber hacking activities that include malware attacks. I shown that, in contrast to the findings reported in the literature, both hacking breach incident inter-arrival times and breach sizes should be modeled by stochastic processes, rather than by distributions because they exhibit autocorrelations. Then, I proposed a particular stochastic process models to, respectively, fit the inter-arrival times and the breach sizes. I also shown that these models can predict the inter-arrival times and the breach sizes. In order to get deeper insights into the evolution of hacking breach incidents, we conduct both qualitative and quantitative trend analyses on the data set. I drew a set of cyber security insights, including that the threat of cyber hacks is indeed getting worse in terms of their frequency, but not in terms of the magnitude of their damage.
Analysis and Research on Increased Probability Matrix Factorization Techniques in Collaborative Filtering
Authors: Mounika Kongari , Suresh B. V. N. Krishna
Published: January 2021

The matrix factorization algorithms such as the matrix factorization technique (MF), singular value decomposition (SVD) and the probability matrix factorization (PMF) and so on, are summarized and compared. Based on the above research work, a kind of improved probability matrix factorization algorithm called MPMF is proposed in this paper. MPMF determines the optimal value of dimension D of both the user feature vector and the item feature vector through experiments. The complexity of the algorithm scales linearly with the number of observations, which can be applied to massive data and has very good scalability. Experimental results show that MPMF can not only achieve higher recommendation accuracy, but also improve the efficiency of the algorithm in sparse and unbalanced data sets compared with other related algorithms.
Cloud-Based Multimedia Content Protection System
Authors: Aparna B. , Madhavi S. , Mounika G. , Avinash P. , Chakravarthi S.
Published: January 2021

We propose a new design for large-scale multimedia content protection systems. Our design leverages cloud infrastructures to provide cost efficiency, rapid deployment, scalability, and elasticity to accommodate varying workloads. The proposed system can be used to protect different multimedia content types, including videos, images, audio clips, songs, and music clips. The system can be deployed on private and/or public clouds. Our system has two novel components: (i) method to create signatures of videos, and (ii) distributed matching engine for multimedia objects. The signature method creates robust and representative signatures of videos that capture the depth signals in these videos and it is computationally efficient to compute and compare as well as it requires small storage. The distributed matching engine achieves high scalability and it is designed to support different multimedia objects. We implemented the proposed system and deployed it on two clouds: Amazon cloud and our private cloud. Our experiments with more than 11,000 videos and 1 million images show the high accuracy and scalability of the proposed system. In addition, we compared our system to the protection system used by YouTube and our results show that the YouTube protection system fails to detect most copies of videos, while our system detects more than 98% of them.
The Integrated Exchange of Information and IoT for Smart Logistics Systems
Authors: Ofgaa Gutu , Umar Syed
Published: January 2021

The logistics system is an important and stimulating process for producers. The logistics system starts with the supply of raw materials, product design, assembly and distribution to customers. A supply chain can be considered when designing this process. Therefore, modelling and optimizing supply networks related to the different processes of the logistics system and data transactions is a major challenge. On the other hand, developments in the digital environment of logistics systems are integrated with the development of Industry 4.0, including Internet of Things (IoT), big data, cloud computing and information systems. Therefore, this document discusses the development of information systems on different processes of logistics systems in modelling the exchange of data between elements of the supply network. The concepts of big data and cloud computing are taken into account when proposing information flow mechanisms. The result allows a complete exchange of data between the elements of the intelligent logistics system on the Internet platform. The functions and solutions of sales, transport, inventory and sales are presented in the different phases of the proposed logistics system. The need for data flow is created using a database concept for making real-time decisions
A Study of DDOS (Distributed-denial-of- service) Attacks and Its Preventions
Authors: Tripathi Bhawna , Katiyar Devesh , Goel Gaurav
Published: January 2021

The data security is one of the most important themes in the information World. Cloud Computing is a grooving technology and implemented by many companies, but there are many issues and one of them is DDOS. .The DDOS attack is one of the most Threatening attacks in today’s world. This paper introduces about the major problem occur in the security which is known as DDOS attacks The study of this research is to find out the various techniques to prevent these attacks along with their modification techniques and to find out any possible solution.
The Impact of Food Supply Chain Management on Food Safety
Authors: Pawar Jyoti , Mali Manisha
Published: January 2021

Food safety is top priority for a lot of industries right now, maintaining food security has become difficult when it comes to customer demand. The food put on the market has to be of good quality and safe for use, as well as not be a source of any infection. For this reason, securing food safety and quality is a matter of the responsibility of food producers and governments. During the process of distributing food products it will go through all stages of the supply chain, i. e. all processes from farm to the consumers? tables, is to achieve full supervision of food safety in the modern world, because the journey leading from food production to the consumer is very time-and space consuming. There are many dangers of food during the transport, food storage, or food preparation. In order to enable food quality and sanitary safety of food products, companies have to follow rules and regulation, standards, and norms at every stage of the supply chain. The aim of this paper is to show how food safety is important and the ways in which industry ensures a temperature level that different kinds of food products require.
Detection of DDoS Attack in TCP protocol using Hybrid Machine Learning Techniques
Authors: Desai Vinod , Pradhani Aravind , Majukar Sheetal
Published: January 2021

Recently, damage caused by DDoS attacks increases year by year. Along with the advancement of communication technology, this kind of attack also evolves and it has become more complicated and hard to detect using flash crowd agent, slow rate attack and also amplification attack that exploits a vulnerability in DNS server. Fast detection of the DDoS attack, quick response mechanisms and proper mitigation are a must for an organization. An investigation has been performed on DDoS attack and it analyzes the details of its phase using machine learning technique to classify the network status. In this paper, we propose a hybrid KNN-SVM method on classifying, detecting and predicting the DDoS attack. The simulation result showed that each phase of the attack scenario is partitioned well and we can detect precursors of DDoS attack as well as the attack itself.
Block chain-Based Public Integrity Verification for Cloud Storage against Procrastinating Auditors
Authors: Sujatha V. , Sameera V. Sai , Yuvasri P. , Verma K. Akhil , Naveen G. Sankar
Published: January 2021

The main objective of this project is securely store and maintain the patient records in the health care. Headrest is a data-intensive domain where a large amount of data is created, disseminated, stored, and accessed daily. The block chain technology is used to protect the Headrest data hosted within the cloud. The block that contain the medical data and the time stamp. Cloud computing will connect different health care providers. It allows health care provider to access the patient details more securely from anywhere. It preserve data from attackers. The data is encrypted prior to outsourcing to the cloud. The health care provider have to decrypt the data prior to download.
Hindquarters Paralysis of a Pure Friesian Female Calf : A Case Report
Authors: M. Siddiq Abdel-Rahim , Ibrahim Khalid Mukhtar , M. El-Hussein Abdel-Rahim
Published: January 2021

A 25-days old pure Friesian female calf was admitted with flaccid paralysis of the hind limbs. Paralysis was extended to the bladder and anus sphincter muscle as it was concomitant with urinary and fecal incontinence. She was kept loose in a deserted backyard with a tethered donkey. Pin bricking using a sterile disposable needle along the lateral and median aspect of both limbs revealed intact deep (osseous) sensation while, superficial sensation was found lost. She was diagnosed as acute spinal cord injury due to trauma caudal to the 4th lumber vertebrae. Treatment protocol consisting of drugs and physiotherapy was applied immediately on the same day of admission. Full recover was achieved in 33 days PA.
E-Learner's Academic Emotions Based on Facial Expressions : A Survey
Authors: Rathi Snehal , Sakhariya Arnav , Shah Jeet , Sanghvi Mohit
Published: January 2021

This paper presents different technologies and framework used for academic emotion detection using facial recognition in E-Learning. E-Learning is growing day by day for various reasons like distance learning and user is able to do it at anytime and anywhere. But E-Learning lacks in real time feedback from the students to teachers and vice-versa. Academic Emotion plays an important role on detecting whether the students have understood the topic or not. In face to face learning, a skilled teacher achieves affective domain goals by interacting with the students and asking them questions. But in online learning student and teacher are apart so if system itself finds the emotion and take the action accordingly, is really very helpful to teacher and student both. There are various ways like sensors, facial expressions, log usage are used by many scientists to achieve this. We have researched and read many papers about various frameworks used and found that academic emotions play a vital role and also makes big difference in learning if it is properly analyzed and suitable action is taken. A model for the same purpose has been proposed here which will detect emotion and generate feedback accordingly.
Determination of Colour and Total Viable Counts in Fresh and Charcoal Flue Gases Treated Beef Using Digital Colour Meter
Authors: W. Njeru Catherine , Wanjau Ruth W. , Kiriro Grace N. , Mbugua Gerald W.
Published: January 2021

Flesh from animals is one of the nutritious foods rich in vitamin B complex, iron, zinc, selenium, phosphorous, fats and magnesium. Due to this high food value, it attracts bacteria, yeasts, molds and other lower life forms that infest on it and hence undergoes natural decay process fast. Poor handling practices by small scale enterprise in the beef industry contribute to fifty percent loss, excluding post slaughter losses by livestock farmers. Therefore, there is need to develop accessible preservation methods that are supported by available infrastructure in order to curb beef losses. This study used charcoal flue gases sourced from combustion of charcoal briquettes in prolonging beef shelf life. Fresh beef samples were purchased from local abattoirs and exposed to flue gases. The optimum treatment time was between 10 to 15 hours depending on beef load mass. The reaction of the carbon monoxide and carbon dioxide with beef functional groups was studied using color determination. The colour lightness (L*) and redness (a*) values were L* 44 and a* 9 values for fresh beef, after treatment L* 30 and a* 4.5 indicating a strong bond of carboxy-myoglobin and on day 35 the L* 23 and a* 1.5 indicated onset of beef spoilage. The mean total aerobic counts of fresh beef, after treatment and onset spoilage were significantly different (p<0.05) 4.16±4.20, 2.16±2.19 and 5.16±5.20 log CFU/cm2 respectively. The results from this study, was not more than 6.00 log CFU/cm2 approved safe microbial standards of beef for consumption by FAO.
Ethno-Botanical Studies of Edible Plants Used by Tribal Women of Nirmal District
Authors: Ramakrishna N. , Singh DSR Rajender
Published: January 2021

The Tribal community in India alredy had the knowledge of the protienious food which is discovered by the world in recent times. These food materials rich in nutritional value has alredy been a part of their diet and hence is much stronger than the present generation. The present study is conducted in tribal area of Nirtmal District, Telangana State in year 2016 to 2018 focusing mainly on the tribal of Gondi, Kolams, Naikpods, Pardhna community. 19 Edible plants from 14 different families were identified from the study location.
Analysis of Water Quality Around the Coast Based on Physical Parameters (Temperature, Salinity and Metal Content) using Wireless Network System
Authors: Akhyar Nuril , Sebayang Kerista , Sembiring Kurnia
Published: January 2021

Testing and analyzing the water quality had been conducted by combining several characteristics of sensors (temperature, turbidity and heavy metals) integrated in the wireless network system to determine the quality comparator parameters of water worth drinking in coastal areas. Using sensors made of chitosan compounds to detect heavy metals contained in water. Testing was also done using the DS18B20 sensor (temperature) and TDS (salt levels) by operating a wireless network to transmit data in real time to the web through the GPRS network with the automation system. The sampling used purposive sampling by seafront distance, ± 1 km distance and ± 3 km distance. Testing of copper chips with the addition of Chitosan showed a more stable reading result than without using copper plates (read: pure PCB). At Chitosan biosensors, the addition of CMC shows more varied readings compared to using chitosan biosensors alone. The Ds18b20 Sensor was able to work at high temperatures, with stable value readings. From Sensor readings TDS (EC meter), it’s obtained that the higher the water solution, the greater the reading from the TDS sensor. It was shown on a chart that describing the closer to the sea area, the higher the level of the dissolved substances. The tool was accessed in real time through the Thing Speak platform in accordance with the specified account.
Smart Security System for Theft Protection Using Face Recognition
Authors: Bhowate Snehal , Bashine Kanchan , Gajbhiye Poonam , Paidlewar Samiksha , Dharpure Nikhil , Langde Pranali
Published: January 2021

The number of car robbery attempts at the local and international scale is rising rapidly in this modern era. By inventing robbery techniques, the owners are afraid that their cars will be robbed from their ordinary parking lot or from outside. This makes vehicle protection against robbery important as a result of insecurity. The computer vision based real-time vehicle safety system solves this problem. The proposed car safety system carries through real time user authentication based on image processing using face detection and recognition techniques and a microprocessor-based control system attached to the car. The infrarot sensor attached to the driver's vehicles seat activates the hidden camera, which is fixed inside the vehicle, as the person enters the parked vehicle overcoming the existing security features. The person's face is detected using Viola Jones algorithm once the image is obtained from the activated camera. The extracted face is recognized using the improved Linéar Discriminant Analysis (LDA) algorithm that distinguishes many features rather than looking for an exact pattern based on the Euclidean distance. Authorization requires that the threshold value is established and compared to the Euclidean distance over which the person is not authenticated. The face is sent to the mobile of the owner as an MMS via the operating GSM modem, which is classified as unknown. The owner shall be controlled with the relay in accordance with the owner’s command when the information is received. The way to authenticate the person would be efficient and efficient in terms of vehicle safety.
A Low-latency Strategy with dynamic Duty-Cycle in Opportunistic Mobile Crowdsensing Scenario
Authors: Yang Hongsheng , Liu Jianwei
Published: January 2021

In Mobile Crowdsensing Scenario (MCS), most of the mobile devices transfer data to each other relay on encounter opportunities. MCS energy consumption and latency are the key indicators of networks under the application scenarios. On one hand, the neighbor idle scanning and listening mechanism of mobile devices usually consumes the energy that could be saved. Therefore, keeping devices to work in a low duty cycle can avoid this part of energy waste effectively, but it will bring serious network latency. Aim to this, the duty cycle strategy with a lower latency strategy is focused to discuss in this paper. A method, named Low latency Duty Cycle (DC) with MSFO, is proposed to reduce network latency which mainly compares the size of data packets to be transmitted by the device. Besides, small data packets have priority in the transmission queue for enhanced network performances. Extensive simulation results show that the proposed method can significantly reduce network latency in terms of MCS with a duty cycle strategy.
Experimental Comparative Analysis of Overall Heat Transfer Coefficient in Counter-Flow Heat Exchanger by using Helical Ribs
Authors: Kumar Ankesh , Singh Ajay , Mishra Parag
Published: January 2021

More performance or reduced the size of heat exchanger can be achieved by heat transfer enhancement technique. Tube helical ribs have been used as one of the passive heat transfer enhancement technique and are most widely used tube in a several heat transfer process. The results of the heat transfer characteristics in horizontal double pipe with helical ribs are presented. Six test section with different characteristics parameters of helical rib depth 1.0mm, 1.25mm, 1.5mm and helical rib pitch 4mm, 6mm, 8mm, are tested. Cold water and hot water are used as the working fluids in the shell side and tube side respectively. Experiments are performed under the condition of mass flow rate varying from 0.030 to 0.130kg/s for cold water and 0.040 to 0.140kg/s for hot water respectively. The inlet cold and hot water temperature are between 28- 300C and between 68-710C respectively. The results obtained from the tubes with helical ribs are compared with those without helical ribs. It is found that the helical ribs have a significant effect on the heat transfer coefficient and the heat transfer increases with the helical rib pitches and depth. Based on fitting the experimental data, on- isothermal correlations of the heat transfer coefficient and friction factor are proposed.
Advanced Interior Optimization Methods with Electronics Applications
Authors: Casesnoves Francisco
Published: January 2021

In a previous contribution, the mathematical-computational base of Interior Optimization Method was demonstrated. Electronics applications were performed with numerical optimization data and graphical proofs. In this evoluted-improved paper a series of electronics applications of Interior Optimization in superconductors BCS algorithms/theory are shown. In addition, mathematical developments of Interior Optimization Methods related to systems of Nonlinear Equations are proven. The nonlinear multiobjective optimization problem constitutes a difficult task to find/determine a global minimum, approximated-global minimum, or a convenient local minimum whith/without constraints. Nonlinear systems of equations principles set the base in the previous article for further development of Interior Optimization and Interior-Graphical Optimization [Casesnoves, 2016-7]. From Graphical Optimization 3D optimization stages [Casesnoves, 2016-7], the demonstration that solution of nonlinear systems of equations is not unique in general emerges. Software-engineering and computational simulations are shown with electronics superconductors [several elements, Type 1 superconductors] and electronics physics applications. Extensions to similar applications for materials-tribology models and Biomedical Tribology are explained.
Homopolymer Based Magnetorheological Elastomer
Authors: Dhrangdhariya Parth , Padhiyar Sunil , Mishra Prince
Published: January 2021

Magnetorheological rubber belongs to the class of ‘Smart Material’ whose mechanical properties can be altered continuously and reversibly by an applied magnetic field. Magnetorheological rubber (MRE’s) are composites that consists of magnetically polarisable particles mixed into rubber matrix. With suitable controlled algorithms, they respond to change in their environment.

Purpose of this work is to know more about magnetorheological rubber for active stiffness, vibration control and dampening applications. Although few applications of these materials have been reported in the literature, the possibilities are numerous. They can be used for various applications such as vibration absorber, vibration isolator, variable stiffness bush, spring, force sensors, actuators etc.
Topological Method for a Study of Discriminating Three Categories of Banks and its use in Attributes Reduction
Authors: Safty M. A. El
Published: January 2021

This work approaches the problem of knowledge extraction within the banking domain using rough set, rough set theory can be considered as a topological method. Our main goal is to separate of the accounting attributes to discriminate between Islamic, mixed, and conventional banks. To this end, we have used the positive region in the rough set framework is traditional uncertainty measurements, used usually as in attribute reduction. Attributes banks will be separated and we are classified with a given decision, then we theoretically analyze the variance of the rough set. In the actual application, we used the financial semantics based on the domain expertise of experts to determine between the competing approaches. The results show the value of shared financial information for distinguishing between the three types of banks with certain attributes. These results are helping us offer a new view of attribute reduction in knowledge. We used MATLAB for our applications in computing.
Experimental Study of Counter to Cross Flow Air-Cooled Heat Exchanger using different Fins pitch with Internal Circular Grooving
Authors: Kumar Rishi , Mishra Parag , Singh Ajay
Published: January 2021

In this manuscript we have presented seven variation of Air-Cooled Heat Exchanger (ACHE) design with internal grooving annular tube, all of them are having variable number of aluminum rectangular fins with different distances between the fins. In the proposed design we get the value of heat transfer rate of a counter to cross flow ACHE is 7062.95 watt, 3969.78 watt, 2724.15 watt, 2149.25 watt, 1785.03 watt, 1533.43 watt, and 1325.34 watt in natural convection (without fan) for 5 mm, 10 mm, 15mm, 20 mm, 25 mm, 30 mm and 35 mm respectively. On the other hand the value of heat transfer rate in forced convection (with fan) are 7100.40 watt, 3995.30 watt, 2740.54 watt, 2162.26 watt, 17897.63 watt, 1540.00 watt, and 1331.60 watt for 5 mm, 10 mm, 15mm, 20 mm, 25 mm, 30 mm and 35 mm respectively.
Experimental Study for Counter to Cross Flow Air Cooled Heat Exchanger in Concentric Tube using Rectangular Copper Fins Spacing with Internal Spiral Grooving
Authors: Tiwari Rakesh Kumar , Singh Ajay , Mishra Parag
Published: January 2021

In this manuscript we have presented eight variation of Air-Cooled Heat Exchanger (ACHE) design with internal spiral grooving, all of them are having variable number of rectangular copper fins with different distances between the fins. In the proposed design we get the value of heat transfer rate of a counter to cross flow ACHE is 7833.77 watt, 4068.13 watt, 2736.95 watt, 2161.49 watt, 1802.89 watt, 1546.44 watt, 1336.51 watt and 1165.74 watt in natural convection (without fan) for 0.5 cm, 1.0 cm, 1.5 cm, 2.0 cm, 2.5 cm, 3.0 cm, 3.5 cm and 4.0 cm respectively. Then again, value of rate of heat transfer in forced convection (with fan) are 8007.46 watt, 4084.81 watt, 2754.69 watt, 2205.98 watt, 1809.24 watt, 1555.39 watt, 1352.88 watt and 1172.78 watt for 0.5 cm, 1.0 cm, 1.5cm, 2.0 cm, 2.5 cm, 3.0 cm, 3.5 cm and 4.0 cm respectively.