Volume 9 | Issue 9

 Abstract

The edible items consumed by humans come from variety of sources hence there is a need to classify these food items in different classes to ease their scientific description, easy prescription and better planning of balanced diet for population. Food groups refer to a method of classification for the various foods that animals consume in their everyday lives, based on the nutritional properties of these types of foods and their location in a hierarchy of nutrition. There are various systems of dividing foods into groups to develop models of optimum nutrition for humans. The classification found in Ayurvedic texts is in much more detail comprising of many new food items which although edible are no longer classified as different class of foods. All the needed nutrients for our body are supplied by different foods class described in ancient texts, which is one of the main aim of classification of food items.

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Diet, Food groups, Ayurveda, aharavarga, nutrition

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Business processes and execution strategies are impacted by technology; project management is no exception. In the context of project management, technology tools are utilized regularly for collaboration, communication, Scheduling, budget management risk and mitigation techniques. Technology is helping project managers in the smoother operations and increased productivity. This paper discusses the role of technology in project life cycle and performance. Research analyze the usage of technology and tools by project managers and project team in the organization. The findings exhibit that companies were underutilizing the technologies in the project execution and management. Critical tools and technologies for successful project execution are recommended. the significance of technology in improving project member decision-making is addressed.

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Information Technology, Team Communication, Project Management

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SITA- Swedish Interactive Threshold Algorithm

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Democracy, Gender Equality, Gender Justice, Political Rights, Representation

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A mental health disorder characterized by persistently depressed mood or loss of interest in activities, causing significant impairment in daily life. Possible causes include a combination of biological, psychological and social sources of distress. Increasingly, research suggests that these factors may cause changes in brain function, including altered activity of certain neural circuits in the brain. This is the most common in the India because more than 10 million cases per year are observed here.

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Efficacy, safety, quality control, marketing and regulatory guidelines for herbal medicines (phototherapeutic agents) and Antidepressants.

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Objective: Multi-drug resistance tuberculosis remains a crisis and threats to world health. Line Probe Assay is a molecular techniques for rapid diagnosis of second line drugs MDR-TB. But there is less sufficient information on the clinical viability of this test and a lack of evidence in the diagnosis of MDR-TB use of this Line Probe Assay technique in Indonesia. The aim of this study is to determine performance of line probe assay GenoType MTBDRsl VER 2.0 assay on rifampicin-resistance Mycobacterium tuberculosis isolates compared with phenotypic Lowenstein Jensen drug susceptibility test method (DST) as a gold standard. Methods : This research was used cross sectional study with analytic observational approach from January- June 2020. After being examine with Xpert MTB/RIF, a total of 26 rifampicin resistance Mycobacterium tuberculosis isolates were collected and tested with GenoType MTBDRsl VER 2.0 assay and phenotypic Drug Susceptibility Test (DST). Statistic analysis were performed to determine sensitivity, specificity, PPV, NPV and accuracy of second line tuberculosis drugs. Results: Our study found three fluoroquinolone resistant Mycobacterium tuberculosis isolates (11.5%) and one amikacin resistant Mycobacterium tuberculosis isolate (3,8%). The performance of GenoType MTBDRsl VER 2.0 assay is shown 100 % (95% CI 84,6-100 % ) sensitivity, 100% (95% CI 39,8-100 %) specificity, 100% (95% CI %) PPV, 100% (95% CI %) NPV and 100% (95% CI 86,8-100 %) accuracy. Conclusion: GenoType MTBDRsl VER 2.0 assay showed a high performance compared with phenotypic method to determine resistance of fluoroquinolone and Second Line Injectable Drugs.

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 Keywords

Line Probe Assay, GenoType MTBDRsl ver 2.0, Drug Susceptibility Test, MDR-TB, Second Line Injectable Drugs

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Open and distance learning is one of the most rapidly growing fields of education, and its potential impact on all education systems has been greatly appreciated through the development of Internet-based information technologies, particular the World Wide Web and Digital Libraries in India. Digital libraries play a crucial role in the development of distance education system and distance learning in India. Nowadays, they are one of the fundamental information sources for the students who enrolled in this learning system. Digital libraries contain huge amount of instructional data (text, audio and video) offered by the distance learning program. Organization of the digital libraries is therefore very important for easy and fast access to the desired information. Improper categorization of data may mislead the students searching the library. The digital libraries have got a significant role to play to assist effective e-learning process. Effective learning is having advantages in delivering the right content to the right person at the right time. Development of distance education system is only possible by the digital libraries in India. This paper discusses the development of distance education, need and importance of e- learning and the role of digital libraries in distance education and E-learning process also.

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Digital libraries, Distance Education, E-learning process.

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Abstract: Chronic suppurative otitis media (CSOM), is defined as chronic inflammation of the middle ear and mastoid cavity, which is characterized by recurrent ear discharge or otorrhoea through perforation of the tympanic membrane. The purpose of this study was to prove that there was a difference in ABG values between intact and destroyed ossicular chains in CSOM patients without cholesteatoma. The type of research used is analytic observational with a cross sectional research design. Data obtained from secondary data in the form of medical records at URJ ENT-KL Otology division of RSUD Dr. Soetomo. The ABG value was obtained through a pure tone audiometry examination carried out at the URJ ENT-KL neuro-otology division by competent personnel. Pathology of the tympanic cavity was found in the form of granulation tissue in 60 patients (73.2%) without granulation in 22 patients (26.8%). Based on the type of perforation, central perforation was found in 26 patients (31.7%), sub-total perforation in 34 patients (41.5%) and total perforation in 22 patients (26.8%). Intact ossicular chains were found in 62 patients (75.6%) while destruction in 20 patients (24.4%). Based on the results of the independent t test, the value of p = 0.002 was obtained. There is a significant difference in the value of the air bone gap between intact ossicular chains and destruction in CSOM patients without cholesteatoma at a frequency of 500, 1000 and 4000 Hz but there is no difference at a frequency of 1000 Hz.

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Bone Gap Water, Destructive osicular, Supurative otitis media

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Natural Language Processing is a field of Artificial Intelligence where-in the emphasis is given on words. NLP has also played a prominent role in healthcare industries by helping with records, recommending medicines by seeing the ailment, therapeutic chatbots etc. Aiming to help the mentally ill by making use of NLP based architectures combined with attention mechanism. We propose a chatbot build upon a hybrid model. Our proposed hybrid model mainly focuses on the key words from user input which the model can extract the most information from, then predicting an answer based on the key words. Several experiments are carried out and detailed results are recorded. Our paper focuses on helping the less able people in terms of money, time etc.to get mental help free of charge.

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Depression, NLP, Attention, Chatbot, Deep Neural Network (DNN), Architecture

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Keywords: Geographical Conditions, Anthropometric, Badminton, Players

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Globalization, Small Scale Industries (SSI), Employment, etc.

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The present research work is based on the formulation of poly herbal granules by incorporating the leaves extract of Curcuma longa, Tinospora cordifolia and Withania somnifera. The turmeric widely uses this plant for treatment of various diseases and disorder. The dried leaves powder of the plant was extracted and subjected to preliminary chemical tests. Then it was formulated and then evaluated for various parameters like angle of repose, bulk density, tab. Density, disintegration time and stability studies. The preliminary chemical studies show that the extract contains carbohydrate, alkaloids, flavonoid, glycoside and protein. The formulated poly herbal granules exhibited excellent flow properties which showed good angle of repose, bulk density and tapped density.

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Curcuma longa, Tinospora cordifolia, Withania somnifera, poly herbal granules

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The police organisation is an essential requirement of any civilised democracy. Police is considered as the watchdog of the society and also a limb of the criminal justice organisation entrusted with the task of maintaining peace and harmony. However, it must be noted that the Indian Police lacks the necessary infrastructure for crime detection. Police in India is always subjected to public scrutiny. It is this continuous struggle for building a better image that has led the police to change their traditional and stigmatised outlook and has become innovative in both investigation and the process of policing as a whole. The world witnessed a rapid change in twentieth century with the introduction of digitalisation of the country. The introduction of Information and Communication Technologies (ICTs) have greatly changed the public viewpoint and the symbiotic relationship between the police and the world at large has catered to various reforms in policing with the help of ICTs. Information Technology has improved the effectiveness and efficiency of the police at large and the capacity to process data. The intelligence and investigative capabilities have been increased to such an extent that criminal records are easily accessible, databases have been created to track criminals and the traditional methods of crime charts have been replaced by modern methods of crime detection. ICT has become the need of the hour in the globalised world today. Indeed, it is one of the most effective tools to detect the global pandemic of cyber-crimes and the police today being equipped with various ICTs are making it a point to look into the various possible solutions and tackle such menaces. Indian Police has restored to proactive policing and therefore the means to incorporate these tools in crime detection has indeed become a pertinent cause to detect crimes. The paper seeks to give an insight into the task of policing as a whole along with the development of a police force for the betterment of the nation.

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Police, Policing, Technology, Crime, Detection

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Transcatether closure, PDA, ADO I, ADO II, Nit-Occlude, MFO

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Background : Retained Product of Conception (RPOC) with placenta accreta is one of morbidity causes due to delay in diagnosis. Objective : To diagnose RPOC with placenta accreta. Material and Method : Medical records of six RPOC patients with placenta accreta from January 2017 to February 2021 in dr. Soetomo Hospital Surabaya were included in this retrospective observational study. Results : Six cases RPOC with placenta accreta showed that the most common complaint was vaginal bleeding with risk factor of previous cesarean delivery. The ultrasound findings in all cases were hyperechoic masses with intraplacental hypervascularity, subplacental hypervascularity and inseparable cotyledon. Conclusion: Post-partum haemorrhage (PPH) with history of previous cesarean section and ultrasonographic examination findings intrauterine mass, intraplacental hypervascularity, subplacental hypervascularity, inseparable cotyledons can be diagnosed as RPOC with placenta accreta.

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Retained product of conception, placenta accreta, post-partum haemorrhage

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Abstract: Objective: To determine the characteristic of third- and fourth-degree perineal rupture cases after vaginal delivery at Dr. Soetomo General Hospital, Surabaya. Methods: This is a descriptive study using all data of the third- and fourth-degree perineal rupture from 2017 to 2019 in Emergency Department and Outpatient Department of Urogynecology with total 30 patients. The data are secondary data obtained from the Electronic Medical Record (EMR) database of urogynecology department. The inclusion criteria are a singleton vaginal delivery at term gestational age. All deliveries outside the inclusion criteria and cases of perineal rupture caused by traffic accidents or incomplete EMR data were excluded. Variables were obtained based on the declared data needed in this study. Appropriate statistical analysis was conducted. Results: The highest incidence of severe perineal rupture at the age of 20 - 34 years as many as 23 patients (77%), primigravida consisted of 18 patients (60%), birth weight >3000-3500g 17 patients (56.7%), obesity class I as many as 10 patients (33.3%), patients with a history of labor with episiotomy were 25 patients (83%), births assisted by midwives were 18 patients (60%) and delivered outside DR. Soetomo General Hospital were 25 patients (83.3%). The results of therapy showed a cure rate in 26 patients (87%). Conclusion: Our results are consistent with several references, which are young mothers, primigravida, and fetal weight as a risk factor for severe perineal rupture. Further investigation is needed regarding BMI and episiotomy as risk factors of severe perineal rupture.

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Keywords: anal sphincter injury, perineal rupture, vaginal delivery.

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pregnancy, HIV, syphillis, hepatitis B

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Gilgit Baltistan (G-B) was a part of the Jammu and Kashmir province, which with the merger of India, legally became an integral part of the Indian Republic. But since 1947, G-B has been illegally under the control of Pakistan. The sectarian conflict and human rights violation in the G-B region by Pakistan has continuously been going on for the last six decades. Though Pakistan has been consuming the natural resources of the region to serve its economic interests, it has excluded the people of the region from any constitutional, political and economic rights. The government of Pakistan and its army has promoted sectarianism in Gilgit Baltistan, and at the same time, the Government has tried to depress the voice of the people of the region and has not allowed it to be exposed on the world stage, which has been going on continuously till date. By looking at all the above points, the research paper attempts to explain Pakistan's human rights violations and sectarian conflict in the G-B region

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Gilgit Baltistan, Sectarian conflict, Jammu and Kashmir, Human Rights.

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Celebrity, Endorsements, Consumer, Influencers, Brand Marketing

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This article provides an overview of results based on sleepy driver behaviour using machine learning techniques. Faces contain information that can be used to interpret levels of sadness. There are many facial features that can be extracted from a face to infer sleepiness. These include blinking, head movement, and yawning. However, developing a sleepiness detection system that provides reliable and accurate results is challenging as it requires algorithms. In the past, methods of detecting drowsy drivers have been tested. Methods, including reference vector machines, complex neural networks and hidden Markov models in the context of drowsiness detection. In addition, meta-analysis was performed on 25 documents using machine learning methods to detect drowsiness. This method is a most widely used method for detecting drowsiness, but the aggregate neural network performs better when compared to the other two methods. Finally, this document lists publicly available datasets that can be used as a standard for drowsiness detection.

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Drowsiness Detection, SVM, CNN, HMM, E.A.R., dlib, EEG. EOG, ECG.

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