Volume 10 | Issue 11

 Abstract

According to the IUCN Red list of threatened species, a global database of Plant species to track at risk species, Rhynchosia heynei is a herbaceous under shrub, an important, indigenous, threatened forestry species of tribal medicinal plant species belonging to the family Fabaceae. Adivasi tribal people (chenchu, lambada) living in the Eastern Ghats hill ranges have used R. heynei leaves extensively for antibacterial agents, rheumatic aches, arthritis, and skin ailments. The findings could be widely applied in medicinal chemistry and pharmacological analysis to aid in the development of new antibacterial medications. The seeds were ground and cooked, and either the decoctionwas taken as orally or the fresh leaf paste was topically applied to cuts and wounds. In vitro tests of Rhynchosia heynei concentrate revealed antimicrobial, antioxidant, and anticancer properties. Terpineol, camphene hydrate, germacrene-D, humulene, linalool, and other important constituents in R. heynei essential oil may be responsible for the plant's medicinal properties.

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rhynchosia heynei, terpineol, anti microbial, anti oxidant, anti cancer

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Cycle Time is the speedometer of engineering. You can develop more quickly, outperform your competition, and keep top talent by measuring and optimizing Cycle Time. Cycle Time even has consequences outside of engineering; it's a crucial sign of corporate success. When the manufacturing sector is attempting to increase productivity, cost containment, and customer response, cycle time is one of the important aspects that needs to be optimized as much as feasible. This methodical study discusses cycle time reduction for increased productivity in the industrial sector. Cycle time should be prioritized in industries due to the necessity of balancing man, machine, materials, procedures, and management. It should be acknowledged that reducing cycle time is a difficult endeavor. The practice of increasing productivity takes into account a variety of variables to cut down on wasteful time as much as possible. Lean manufacturing tools, the value stream method, method-time measurements, just-in-time inventory control, motion studies, process studies, VAT plant classification, total productive maintenance, improved MRP (material requirements planning)-based production planning, theory of constraints, linear programming, and other simulation-related techniques are among the appropriate implementation strategies.

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Work cycle, Time study,data analysis

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 Abstract

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Importance of Agriculture Sector, Training and Development

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Facial expressions communicate non-verbal clues, which are crucial for interpersonal communication. The method of determining a person's emotional state is done by the Cognitive Emotion AI system. The major goal of our research is to create a reliable system that can recognise and detect human emotion in live broadcast. A few feelings, such as anger, sadness, joy, surprise, fear, disgust, and neutrality, are shared by all people. The facial detection process is completed by extracting a face's Haar Cascade features using the Viola Jones algorithm, and the emotion is then confirmed and recognized using artificial intelligence techniques. The system will receive an image or frame as input, and upon receiving it, the model will preprocess it and choose its features before predicting its emotional state.

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Facial Expressions, Data Mining, Image Pre-processing, Emotion Detection

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The purpose of this review is to gather information related to herbal shampoo. In day-to-day life hair care is of prime importance. A good care of hairs can be taken by use of different cosmetic products like hair oil, hair shampoo, hair gel, hair serum, hair cream etc. The primary goal of this study is to create and assess a herbal shampoo and determine its physiochemical function, with an emphasis on the product's safety, efficacy, and quality. Herbal shampoo is a natural hair care solution that is used to clean up grease, debris, and dandruff as well as to encourage hair growth, strength, and blackness. Additionally, it gives the hair gloss, smoothness, and tenderness. Cosmetic shampoo is made with a variety of medications. The negative effects of these medications include hair loss, increased scaling, itching, discomfort, nausea, and headaches. Consequently, an effort is made to create herbal shampoo that has no negative effects. Many herbal crude drugs are used in shampoo formulation like lemon juice, turmeric, coconut oil almond oil, sodium hydroxide, sodium lauryl sulphate, coca butter.

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Herbal shampoo , dandruff, hair care , olive extract, lemon juice, turmeric extract

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Indian economy, challenges, entrepreneurs, Covid-19 impact.

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Humor and Double Discourse in R. K. Narayan’s A Horse and Two Goats

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Humor and Double Discourse in R. K. Narayan’s A Horse and Two Goats

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Mathieu series; generalized Mathieuseries; fractional calculus operators

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Electrocardiogram (ECG), a non-invasive technique is used as a primary diagnostic tool for cardiovascular diseases. A cleaned ECG signal provides necessary information about the electrophysiology of the heart diseases and ischemic changes that may occur. It provides valuable information about the functional aspects of the heart and cardiovascular system. The objective of the thesis is to automatic detection of cardiac arrhythmias in ECG signal. Recently developed digital signal processing and pattern reorganization technique is used in this thesis for detection of cardiac arrhythmias. The detection of cardiac arrhythmias in the ECG signal consists of following stages: detection of QRS complex in ECG signal; feature extraction from detected QRS complexes; classification of beats using extracted feature set from QRS complexes. In turn automatic classification of heartbeats represents the automatic detection of cardiac arrhythmias in ECG signal. Hence, in this thesis, we developed the automatic algorithms for classification of heartbeats to detect cardiac arrhythmias in ECG signal. QRS complex detection is the first step towards automatic detection of cardiac arrhythmias in ECG signal. A novel algorithm for accurate detection of QRS complex in ECG signal peak classification approach is used in ECG signal for determining various diseases. As known the amplitudes and duration values of P-Q-R-S-T peaks determine the functioning of heart of human. Therefore, duration and amplitude of all peaks are found. R-R and P-R intervals are calculated. Finally, we have obtained the necessary information for disease detection. For detection of cardiac arrhythmias; the extracted features in the ECG signal will be input to the classifier. The extracted features contain morphological l features of each heartbeat in the ECG signal. We have detected bradycardia and tachycardia. Massachusetts Institute of Technology Beth Israel Hospital (MIT-BIH) arrhythmias database has been used for performance analysis.

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Electrocardiogram (ECG), MIT-BIH database, Probabilistic Neural Networks (PNN), Wavelet toolbox.

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Battery chemistries plays a pivotal role for range enhancement and performance of electric vehicles. In the present research different battery chemistry used in Electric Vehicles (EVs) were analyzed. In the present work analysis is done on sodium ion, lithium ion, and metal air batteries chemistries for usage in EVs. Technical parameters and process for selection of battery for EV application is presented. Based on the review a comparative chart is prepared that help in selection of a battery chemistry for application in EV as per the requirement. Battery Management System (BMS) which is responsible for cell balancing, temperature monitoring at cell level, providing data on state of health (SoH) and State of Charge (SoC) of a battery is also studied.

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Battery, Lithium-ion battery, Metal air battery, Battery selection, Battery Management System

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In the field of medical Brain tumor is very risky, uneasy to detect and very harmful disease. The Brain Tumor is detected using MRI images by doctors. In this paper, the detection of Brain Tumor is done by using the MRI images by implementing different Machine Learning techniques. The CNN(Convolutional Neural Network) is performed by using keras whereas the SVM(Support Vector Machine), KNN(K Nearest Neighbor) are performed by using scikit, sklearn. The different techniques are used in this paper to get more accuracy and predictions in detecting the tumor accurately.

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Classification system, CNN, MRI, Medical, Brain Cancer, Machine Learning, SVM, KNN.

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The statistical analytic technique investigates the influence of the accident Severity Index (SI) on temporal-spatial patterns of accident hotspots related to specific time intervals.10 years of Andhra Pradesh (AP) Road Traffic Accident (RTA) data were used to analyze and test this approach. Finding the Accidents Hotspots according to the severity is the most crucial task. This study abridged to find the severity of the accident and map the locations. The model which we enact using supervised machine learning algorithms, such as Decision Tree (DT), Logistic Regression (LR), and Random Forests (RF) are implemented on traffic accident data. SMOTE algorithm is used for handling the data imbalance. An RF model can provide insights into the severity of traffic injuries, according to the result of this study. RF algorithm has shown better performance with 70% accuracy than LR with 72.5%, and RF with 63.6% accuracy.

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Decision Tree (DT), Logistic Regression (LR), Random Forests (RF), Severity Index (SI).

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The attractive plant species Senna angustifolia belongs to the genus Senna. Herbal medicine utilizes it. It naturally grows in upper Egypt, particularly in the Nubian region, and is also commercially grown close to Khartoum. Additionally, it is grown worldwide, most notably in Somalia and India. This current review on Senna angustifolia contains the latest data related to isolated chemical constituents, structure, formulation, uses, side effects, dose etc.

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Senna, constituents, structure, formulation, uses

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Library, central libraries, collection, budget, user.

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Ayurvedic literature has vast description of Mutravaha srotovikaras in different contexts. Acharya Vaghbhata gave a unique explaination segregating into Mutra atipravritti and Mutra Apravrutti vikaras. Symptoms of both Mutrakricchra & Mutraghata seems to be overlapping. Acharya Chakrapani, Dalhana, & Vijayarakshita have demarcated both the entities. The difference is based on intensity of Vibhanda or Avarodha which is more pronounced in Mutraghata. Chronic Kidney Disease is a global threat to health and hence needs cost-effective treatment and Ayurvedic literature emphasized more ways to treat CKD in chronic condition where in Basti is highlighted as main stream of management.

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: MUTRAGHATA, CKD, BASTI

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Keywords: Employability Skill, Socio-Economic Status, Higher Education, Postgraduates.

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This study was conducted to investigate the parental perception of content and the effect of television programs on children. Multistage random sampling was used to collect the data from parents. The study consisted of 110 parents with children aged between 8-12 years as a sample of the study. A self-constructed questionnaire has been used to study the parental perception of television programs. For the analyses, collected data were tabulated and converted into percentages. Results indicate that parents believed that television programs have both appropriate and inappropriate content which affects children. Parents felt that boys watch more violent and aggressive programs in comparison to girls. Data also reveals that television viewing increases knowledge, curiosity, creativity, eating disorders, vision problem, aggression, and anti-social behavior. On the other hand, television viewing is responsible for decreasing study time, and physical and social activities. Television viewing did not affect verbal ability, sexual activity, attention span, inclusion toward substance abuse, and buying behavior of children.

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Television program, parental perception, television viewing, effect, children

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Universalization of Elementary Education (UEE), Absenteeism, Literacy Rate, School Enrolment, Elementary school Drop-out

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Postcolonial, Narration, Eurocentrism, Culture, Diaspora

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