Volume 10 | Issue 11

 Abstract

The present study has been undertaken to assess the nature, extent, pattern and determinants of migration in Himachal Pradesh. For this purpose, two districts i.e. Lahul & Spiti (tribal region) and Una (non-tribal region) out of twelve districts in Himachal Pradesh have been selected. A total sample comprises 200 households from both tribal and non-tribal regions. Overall, 21.5 percent of persons are migrants, with significant tribal & non-tribal, rural-urban and male-female differentials. Out of total migration in tribal region and rural areas of non-tribal region, proportion of out-migrants is higher as compared to those of in-migrants and return-migrants. Whereas in urban areas of non-tribal region, the percentage of out-migrants is lower than in-migrants. Migration is dominated by person age 15-29 years group as compared to other age groups. Migration among unmarried population has been higher as compared to married one. In both regions and rural-urban areas of non-tribal region, the proportion of migrants with educational level 'secondary and higher secondary' is the highest compared to other educational level groups. Rural to urban migration has been the most dominant migration stream, of the total internal migration, followed by rural to rural. The reason for migration for the migrants in tribal region has been dominated by education attainment, whereas employment has been the main reason for migration in non-tribal region.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Logistic regression analysis, Migration, Tribal and non-tribal region

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present paper throws light on some approaches for teaching and learning of the young learners such that it leads to the enhancement of mathematical thinking as per the vision of NEP 2020.The National Education Policy emphasizes on strengthening the foundation of quality education. It pays focus on cognitive depth of the learner as an important aspect and on curbing the rote learning system. Thus, it presents a dire need to take into account each approach critically and understand its suitable applicability for the effective education in Mathematics. The approaches which are discussed in the present paper may prove to be of great use for the young learners and moreover the future of'Incredible India'.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Approaches, Quality, Education, Learners, Teaching, Learning, Mathematical, Thinking, NEP2020.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Title: Effect of Modified Pursed Lip Breathing in Pneumonatic Children Dev K.1, Naveen2 1.Assistant Professor, Department of Physiotherapy, GJUS&T, Hisar 2.MPT, Guru Jambheshwar University of Science & Technology, Hisar Abstract Pursed lip breathing exercise help in increasing alveolar expansion in restrictive lung diseases. Pneumonia is one of the intrinsic restrictive lung diseases seen in children. So, here in this study restrictive lung diseases has been taken as it commonly affects the children. Pursed lip breathing exercise may help in increasing alveolar pressure & decreasing the secretions, which helps in improving the growth & ADL's in children. The aim of the study is to find the effect of modified pursed lip breathing by blowing into a water-filled bottle through a straw in pneumonatic children. Study design: Quasi experimental design, purposive sampling was done. Sample of 12 (8 males and 4 females) pneumonatic children have been taken from various hospitals in Hisar. All the participants received the intervention in rest time, one time a day, for one week. Intervention was given when the participant's medical conditions was stable & confirmed by the medical doctor. The modified pursed lip breathing exercise (in bottle which is filled with water by straw) was performed four times a minute for ten minutes. All the outcomes (Respiratory rate, Oxygen saturation, Heart rate/Pulse rate) were measured at baseline, then after one week of intervention. The pre and post intervention statistical data compared by using paired T test. Analysis was done for 12 patient, physical characteristics of data of the patient's include respiratory rate, heart rate, oxygen saturation. Male and female statistical data are compared by using the simple T test for different physical characteristics (respiratory rate, heart rate, oxygen saturation), and to test any statistical difference was set at p<0.05 and the valve of confidence was set at 95%. The result of the study indicates that modified PLB blowing into a water filled bottle through a straw decrease RR, HR, improve oxygen saturation. Based on this study we believe that modified pursed lip breathing exercise can be used as an adjective treatment for obstructive and restrictive pulmonary disease to improve oxygen saturation decrease RR, HR. Conclusion: This study concluded that modified pursed lip breathing exercise can be used as an adjacent with other traditional treatment for obstructive and restrictive pulmonary disease.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pneumonia, chest, breathing exercises, children

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

By enforcing the law, the "police" institution plays a crucial role in maintaining "law and order" and controlling people's behavior. Women are consistently joining the police force and performing their jobs with full dedication and effectiveness. Now, the contribution of women to the police cannot be ignored, and it almost certainly is significant. This article looks at data from Global, India and Karnataka regarding proportion of women police and entry of women police in the states.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Enforce, Police

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Hemicyanine dyes are a sub class of polymethine colorants. At one end of their polymethine chain an unsaturated heterocyclic ring possessing a nitrogen atom as would be found in a cyanine dye. However, the other end is terminated by a nitrogen atom that does not form part of an unsaturated heterocycle. The name alludes to their half-cyanine substitution pattern. Later the scope of the term "hemicyanine" was extended to the phenylogous dyes where there is a phenyl group between the two terminal nitrogen atoms. The first main technical application of hemicyanine dyes was in textile coloration. Now a days hemicyanine dyes are used extensively as optical probes of cell membrane potential. The compound 3-ethyl-2-methylbenzothiazolium iodide and 3'-chlorophenyl-4-dimethylaminostyryl ketone were dissolved in absolute alcohol together with basic catalyst piperidine. The mixture was refluxed for about 6 hrs. Connected with CaCl2 guard tube and subjected to overnight cooling. The dye obtained was recrystallised from methanol as dark brown sandy crystals.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cell membrane potential; Cyanine dyes; Franck-Condon principle; Hemicyanine dyes; Optical probes; Silver halide photographic materials; 3-ethyl-2-methylbenzothiazoliumiodide; 3'- chlorophenyl-4-dimethylaminostyryl ketone.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Creativity is the ability which is most valued in all societies. Synectics model of teaching is one such approach which seems to have the genuine potentiality for enhancing creativity of the learners as it provides them the scope to participate in various metaphorical activities - the key to creative thinking ability through which they can be given opportunity to think critically and divergently. Synectics brings out creativity of the students. It is a very sophisticated technique for stimulating creativity. Gordon and his associates successfully employed it in finding solutions to a number of intractable technical problems. The present study reveals and observed that experimental group performance in respect of Test of Story Construction, Test of Poetic diction and Test of vocabulary test is significantly higher than control group performance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

EFFECTIVENESS OF SYNECTICS MODEL OF TEACHING STRATEGY IN FOSTERING ENGLISH LANGUAGE CREATIVITY OF PRE-UNIVERSITY STUDENTS OF KARNATAKA STATE

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper aims to reveal the objective of Telangana e-waste management practices for environmental sustainability and explores people's awareness level about e-waste management, its generation, and primary treatment practices in educational institutions. In our state, electronics waste remains the last frontier. If we are able to successfully tackle this problem then we will become a role model state. A very detailed policy is being brought out, based on consultation. Like every cleanliness program success depends on the participation of everyone. By taking a collaborative approach and collectively delivering on identified aspects, we can create a clean and green habitat for everyone.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

1. e-waste management 2. Environmental sustainability 3. Extended producer responsibility 4. Culture of reusing and recycling 5. Standard Operating Procedures

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Archana Tyagi

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Archana Tyagi

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study is to demonstrate how, despite the machine tool industry's recent exponential growth in production capabilities, machine tools are still being used to their full potential. This restriction arises from the failure to operate the machine tools under ideal conditions. For a very long time, researchers and practical engineers have been interested in the subject of determining the ideal operating parameter levels. Metal matrix composites are being used more frequently as industrial materials, however since the reinforcements are so hard and abrasive, MMC is very challenging to machine. The MMC is machined as the reinforcement particles are broken and dragged out of the matrix, which results in decreased product surface quality, tool flank wear, and higher machining costs. Additionally, early tool failure increases production time and costs by necessitating frequent tool changes. This method has been suggested by Litak as a way to test the effectiveness of the ripping machine and as a way to keep track of the condition of the tools. Investigating the effects of various machining process factors was the paper's main goal in order to improve the quality of the machined products. The use of the Grey relation, Desirability function, Genetic Algorithm, and Fuzzy logic for multi-response optimization were found to be widely employed, according to a thorough assessment of the literature on the optimization of machining parameters. As a result, it was also attempted through this research project, and the aforementioned techniques were assessed in order to achieve the goal of choosing the proper process parameters for drilling the Al-SiC MMCs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Reinforcement, Machine Tool Industry, Parameters, Optimization Process.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the present paper we study that in addition to being in complete agreement with the Universal Declaration of Human Rights of the United Nations, ancient India's human rights also serve as a model for contemporary thought in the region. "Nobody is superior or inferior," states the Rig Veda. All of them are brothers. Working together for the common good and progress should be the goal of everyone. According to Article 15, everyone is entitled to a nationality. According to Article 16, the family is entitled to protection from society and the state because it is the natural and fundamental group unit of society. No one shall be denied the right to alter or lose their nationality at random. In ancient India, the individual also existed as a state citizen with rights and responsibilities. The Vedas proclaim freedom of body (Tan), dwelling house (Skridhi), and life (Jibase), which was the ideal of ancient Indian legal theory. Human rights were thought of and practiced in ancient India, according to the study above. Inscriptions, coins, and contemporary art and architecture all show how human rights have been implicitly expressed in the Bible. The Dharmastras and Grihastra, which define one's relationship with others, society, and the state, and vice versa, outline the Hindu way of life. In addition, they establish certain standards, obligations, and rights. The sixteen samskaras, which contain every contradiction and aberration, govern every Indian's life from birth to death. For instance, the marriage samskara establishes a couple's relationship and defines their rights and responsibilities toward one another and society as a whole. The forfeiture of Istrdhana's marriage-related propriety rights has been accepted by Kautilya, Manu, and others.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Rights, Contemporary, Rig Veda, Progress, Dwelling, Inscriptions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Parable, Allegory, Nuclear Explosion, Brahmastra, Chronicle, Peacocks.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Aalochako ki drushti me kamayani ke stree patra-ek samshya

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aalochako ki drushti me kamayani ke stree patra-ek samshya

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays there is a lot of imbalanced data present on the web in several areas like medical, business, insurance, banks, research centers, and so on. All these imbalanced data are creating a lot of gaps for the researchers to gain any new information based on the primitive data. Since the corona virus emerged, it has been increasingly difficult to get legitimate therapeutic resources, such as the scarcity of specialists and healthcare professionals, appropriate equipment and medications, etc. There are many deaths as a result of the medical profession as a whole being in distress. People started taking medications independently without the proper consultation because they weren't readily available, which made their health conditions worse than usual. Recently, machine learning has proven useful in a variety of applications, and creative work for automation is on the rise. The goal of this research is to present a medicine recommendation system that significantly decreases the need for specialists. Because they are doctor-friendly, emerging technologies like machine learning, deep learning, and data mining can help us investigate the history of medicine and lower medical errors. In order to identify the top few medications for a condition, this research suggests a drug recommendation system that uses word2vec sentiment analysis on patient review data

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Drug Recommendation System on Imbalanced Medical Data Using SMOTE

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background:Lesser number of undergraduate (UG) MBBS students carries the concept of biomedical research. In order to achieve the endeavour of creating globally at par Indian medical graduates, it appears obligatory to introduce research aptitude among UG medical students. More than a decade back, Medical Education Unit of SBKS Medical Institute& Research Centre, SumandeepVidyapeeth, formulated and running a research orientation programme to involve and enrich the UG medical students in biomedical research during their 3rd first professionals . The programme is named as Evidence Generating Community Health Intervention Project(EviGenCHIP). Aims and Objectives:1. To evaluate the impact of EviGenCHIP Programme. 2. To assess research aptitude and research profile of the trained students.3.To appraise feedback from the faculty about the programme. Methodology: This was an observational study conducted at department of Forensic Medicine & Toxicology, SBKSMI&RC in duration of 4 months after approval from Institutional Ethics Committee. A Quantitative & Qualitative study conducted on UG students and teaching faculties trained under EviGenCHIP. Total number of students participated in this study were 100 for quantitative study. 4 batches of focused group, each group comprising of 6 students, i.e. 24 students and one group of 6 faculties were be recruited for qualitative study. Non-randomised sampling method was adopted to recruit the participants in Focused Group Discussion. Observations: This programme does have an impact on most of the students who participated in this programme which is reflected in content analysis of Focus group discussion and Quantitative data analysis. Conclusion: This unique programme is a necessity in formal medical undergraduate education and those students who were interested and are properly mentored reflected positive impact on their research aptitude.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Community research, UG Medical teaching, Focused Group Discussion, Impact evaluation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Obese individuals have a high possibility of developing Cardio Vascular Disease (CVD), which should be because of an alteration in the Autonomic Nervous System (ANS) .Heart Rate Variability (HRV) can be utilized to recognize the progressions in ANS movement. An HRV is a device to gauge the ANS action utilizing linear and non- linear HRV features. In this paper, we address the impact of weight on ANS utilizing HRV parameters. At first, two sets of twenty counts are taken; one set contains obesity and one more set is non-obesity regardless of gender, between the ages of 20 to 50. The measurably massive distinction between the two sets was noticed using the Independent t-test. Measurable consequences of the review show the sympathovagal imbalance because of reduced parasympathetic movement. To come up with exact outcomes, we executed deep learning techniques. This paper essentially represents two best profound learning calculations: RNN (Recurrent Neural Network) and LSTM (Long Short-Term Memory). The experimental results show that the LSTM expectation impact is superior to RNN in terms of recognizing CVD.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep learning, RNN, LSTM, CVD, ANS.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of Artificial intelligence (AI) in marketing is to continually monitor and anticipate the next purchase decision of the consumers in mind and improve their overall "journey." The potential of AI can be seen in its primary components: big data, machine learning, and robust solutions. The idea"big data "big data" means that marketers can combine and categorize massive quantities of data using a minimum of manual effort. Utilizing this data, they can be confident that they will send the correct message to the appropriate people at the right moment through the preferred channel. Machine learning (deep learning) lets marketers comprehend and draw logic from huge data collection. They can predict consumption trends, track and analyze customer purchases, and predict future customer behavior. Producing robust solutions means that we are in a time when machines can comprehend the world the same as we do. Devices can recognize concepts and themes in the spectrum of data, interpret emotions and human communication, and provide appropriate responses to the needs of consumers. They can quickly determine the behavior and choices of buyers and then use the data to address issues in the future. In the years to come, marketers can expect more significant AI impact through better-informed searches, more effective ads, improved content delivery, reliance on bots, and continuous learning. They protect against fraudulent activities and data breaches such as sentiment analysis, image and voice recognition, sales forecasts, and language recognition, as well as predictors of customer services, segmentation of customers, and more. This paper seeks to determine the relationship between marketers and AI machines.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence, marketing, machine learning, powerful solutions, bots, marketers, big data

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The goal of this research was to make an assessment of where AI and ML have been applied so far in agriculture and to make some educated speculations about where the field might go from here. This research takes a systematic literature review approach to the articles already published across a variety of scientific platforms that explore the overlap between artificial intelligence (AI) and supply chain management (SC) and machine learning (ML) in the food industry (FT). In this work, we propose a strategy for decreasing agricultural risks and bolstering smart farming practises. The wireless AI-based sensor will raise the bar for intelligent agriculture, which has seen progress in the past. In order to improve prediction in its current form, this research uses image-processing based machine learning techniques. Detecting and controlling cotton leaf diseases is the main objective of this study. The study covers a wide range of topics, including the detection of diseases on leaves, a server-based remote monitoring system, moisture and temperature sensing, and soil sensing. Plant illnesses caused by insects and other pathogens can drastically cut harvest yields if not treated promptly. In this study, we describe a system for assessing soil quality and warding against diseases that affect cotton leaves. Artificial intelligence's regression technique is used by the proposed system to detect and categorise leaf rots. After the virus

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

STUDY AND ANALYSIS ON MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE FOR SMART AGRICULTURE

  License

Creative Commons Attribution 4.0 and The Open Definition