Volume 11 | Issue 12 |

 Abstract

Rasashastra and Bhaishajya Kalpana is the branch of Ayurveda which deals with the preparation of herbal, mineral and herbomineral preparations. Various dosage forms have been described in Bhaishajya Kalpana. Avaleha Kalpana and Khanda Kalpana are two of those. One such formulation that is explained in Sahasrayoga Leha Prakarana is Bilwadi Leha. Khanda Kalpana is a modification of Avaleha Kalpana. It is done to solve concerns with palatability and prolong the product's shelf life. Madhura Dravya is an essential ingredient in the manufacturing of medications. This study was conducted to comprehend the quality of Leha and its modification into Khanda Paka prepared using two different Madhura Dravyas that is Jaggery, and sugar candy in each dosage form.

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 Keywords

Bilwadi Leha, Guda, Khanda Sharkara, Khanda Kalpana

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Abstract: Cultural intelligence is the ability of a person to interact effectively in multicultural situation. The role that cultural intelligence plays as an enabling factor for better cross-cultural adjustment. A significant difference was expected in the academic performance of the students between high and low level of cultural adjustment. Conducting the present study to help reduce friction among students in the institutions. Bangalore district divided into four segments for the study. Further, two colleges from each of four segments focusing under graduation programme on random sampling basis as a representation for research study. Descriptive survey method of research used for the study. Finally, 50 each from 8 colleges accounting total sample as 400 under graduate students for the study. Data base covering of two components a) Eight characteristics on Socio-economic status of respondents. Cultural intelligence tool accountable with 20 statements on five point Likert scale, ranging from 1-5 scores from strongly disagree to strongly agree with four concepts, Meta Cognitive (4 statements), Cognitive (6 statements), Motivational (5 statements) and Behavioural (5 statements). The minimum score for the cross cultural adjustment as 20 and maximum score as 100. Statistical measures used are number, percent, mean and standard deviation. Under inferential statistical test applied are Chi-square test to measure the association between selected socio economic characteristics and Cross cultural adjustment and statistical F-test for comparing means of different aspects of cultural intelligence. Majority of the respondents (46.0 %) found as 18 years of age, boys predominant (56.0 %), belongs to 1st year PUC and language background as English (90.0%) followed by Hindi (82.0 %). Further, second ordinal position with majority (48.0 %) and number of sibling being as one (40.0 %). Academic performance found as 61-72 marks noticed with 40.0 percent and higher respondents emerging from home (56.0 %) as residence. Regarding residential background majority (82.0 %) emerged from urban family background and religion being Hindu (58.0 %) respondents. The result indicate that 40.0 percent of respondents possess with adequate cross cultural adjustment level as compared to remaining 60.0 percent respondents noticed with moderate cultural intelligence level. Regarding Mata cognitive (56.0 %), cognitive aspects (16.0 %) and Motivation aspect (48.0 %) showed adequate level as compared to Behavior aspects (38.0%). There exists significant difference between mean response on different aspects of cultural intelligence scores among respondents (F=5.47*, p<0.05). The Association between age group (?2 = 9.28*), gender (?2 = 4.57*) and class studying (?2 = 86.17*) on cross cultural adjustment level among under graduate students found to statistically significant (p<0.05).

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 Keywords

cognetive, meta cognative, motivation , behaviour, cultural Intelligence

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Variable Data Printing is best suited to be reproduced using a digital printing process. Among all the available digital printing processes in the current time, Electrophotography process is the most common process used by the printers for printing the Variable Data Printing Jobs. The invention of this process dates back to the mid-20th century, when an American Physicist invented this process and filed an application for patenting this process of digital printing. This technology is now commonly used in the modern office printers. This process has evolved throughout the time in terms of technology, speed, quality, reliability and cost efficiency. Recent developments in the field of printing and allied industry have enabled this technology to reproduce excellent results in multi-colour jobs. When the question comes to the point of "quality" in a multi-colour job, there are few parameters that can be checked for ensuring the acceptable print quality. Gray Balance is one such parameter that can be very handy for checking print quality during print production and that too with just visual tools. For accuracy purpose, standard tools for colorimetry measurement may also be used for evaluation of print quality. In this study, a systematic approach is implemented to determine the print quality based upon reproduction of Gray Balance on Gloss Coated Paper using two different presses based upon Liquid Toner Technology and Dry Toner Technology.

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Electrophotography, Gray balance, Liquid Toner, Dry Toner, Gloss Coated Paper

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Abstract: - Agriculture, crop ranking play a vital role in agriculture development. In this study mainly the ranking of the crops has been analysed from the year 2000-01 and 2015-16 by using secondary data, different taluks of district is having different ranking in the different year. The production of crops is depends on the soil, temperature, rainfall, irrigation and agriculture technique, each taluk having different soil texture, availability of water resource. In this attempt have been made to analyse cropping pattern and crop ranking of the study region. Horticulture crops were dominated because of this study area having humid climate which is suitable for crops like areca nut, coconut, cashew nut and rubber etc.

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Keywords: - Agriculture, Cropping Pattern, Crop Ranking. Horticulture

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Natural radiation is a fact of life. All living organisms have been exposed continuously to ionizing radiation, which always existed naturally. People are constantly exposed to small amounts of ionizing radiation from the environment as they carry out their normal daily activities known as natural background radiation. Naturally Occurring Radioactive Materials (NORMs) is a source of natural radiation found on earth of terrestrial origin or from natural processes. The radiological risk due to the presence of natural and man-made radionuclides in beach sands from several public beaches like Kanyakumari, Colachel, Kadiapattanam, Sanguthurai was estimated in this study. Specific radionuclides concentrations in the sand samples were determined by standard gamma-spectrometry. The radioactivity concentration of different beach sands was estimated.

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Radiation, Radionuclides, Gamma -Spectrometry, Radioactivity concentration.

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An inventive way to realize the full potential of herbal treatments is through the herbal nanotechnology. The use of nanotechnology in herbo-applications has considerable promise for improving the efficacy, efficiency, and targeting of herbal therapies. It has the ability to transform conventional herbal therapy and offer novel treatments for a variety of medical ailments.The use of nanoscale drug delivery systems for herbal remedies holds promise for improving their efficacy and resolving issues with plant-based remedies. The conventional medical system is crucial in combating the rise in chronic illnesses. The utilization of phytomedicine-based nanoformulations, plant-mediated manufacturing of metal nanoparticles to treat burn wound sepsis, and phyto-informatics models of the wound healing process to choose suitable nanotherapeutic agent. The overview for reducing of use also the production of dangerous chemicals that harm living organisms creates an opportunity for a beneficial partnership between plant sciences and nanotechnology.This collaboration has the potential to establish a mutually beneficial relationship between these two fields.The topic of nanotechnology is one that is quickly developing and has enormous potential benefits for industry, medicine, and cosmetics.The development of nanoherbal medications by nanotechnology will bring forth a new era in the study of herbal drug discovery. Many nanoparticle medicines are now being researched for drug delivery. The most extensive application of nanotechnology is in pharmaceuticals.

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Nanotechnology,Drug delivery,Herbal remedy,Microparticles,Health impact,Application

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Over the past ten years, employee relations--which seek to create and preserve a friendly relationship between workers and the organization, managers, and other workers--have gained attention. The reasons for bad employer-employee relations, the importance of management relationships, and the role that co-worker relationships play in fostering positive employee relations were the main topics of the essay. Discussions of the findings and recommendations based on the analysis were held. The worker believed that improved basic work culture would improve employee interactions and be provided by the organization. Good supervisory practices and a trustworthy work environment were determined to be the most important elements influencing positive employee relations.

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Employees Relations

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Employee engagement is emerging as a key differentiator for successful organizations. It's crucial to consider employee engagement as a competitive advantage and a core value proposition when striving for organizational success and efficiency. This concept has gained global traction, and this study investigates the current state of employee engagement in two medium-sized IT companies. Through a qualitative research approach utilizing deductive reasoning, the study aims to explore the factors that drive engagement within these organizations. A convenience sample of employees of two medium-scaled IT Organizations (n = 232) completed a survey on employee engagement and their outcomes on Organisational Effectiveness. The data were analyzed using correlation analysis. The results showed that there was a significant, positive relationship between employee engagement and organization Effectiveness. These findings indicate that employee engagement is a significant and strong factor that determines the individual performance of employees which directly impacts on organizational Effectiveness. The findings also indicate that Engagement dimensions: Recognition, rewards, wellness, growth opportunities, and work-life balance all positively impact job satisfaction. This implies that companies do need to consider how to promote employee engagement in the organization for effectiveness

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Employee Engagement, organization Effectiveness, Performance

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In some clinical applications, the performance of a machine learning algorithm may be negatively impacted by patient incorrect label uncertainty during training for a supervised learning job. For instance, because of uncertainty in the patient's condition or the unreliability of the diagnostic criteria, even clinical professionals may be less confident when making a medical diagnosis for some patients. Thus, certain examples utilised in algorithm training could have incorrect labels applied to them, which would negatively impact the algorithm's performance. In certain situations, professionals might be able to measure their diagnostic uncertainty, though. In order to account for such clinical diagnostic ambiguity while training an algorithm to predict individuals who develop acute respiratory distress syndrome (ARDS), we provide a robust technique that uses support vector machines (SVM). A condition of the severely sick known as ARDS is identified using clinical criteria that are known to be unreliable. Our method of representing ambiguity in the diagnosis of ARDS involves assigning a graded weight of confidence to every training label. In order to limit overfitting, we also employed a unique time-series sampling technique to address the issue of intercorrelation among the longitudinal clinical data from each patient utilised in model training. Based on preliminary results, we may compare our technique that takes into account the uncertainty of training labels with a traditional SVM algorithm and obtain a significant improvement in the system's ability to diagnose patients with ARDS on a hold-out sample.

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Machine learning, support vector machine, label uncertainty, acute respiratory distress syndrome, sampling from longitudinal electronic health records (EHR).

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 Abstract

Vibhitaki (Terminalia belerica) is populary known as the ingredient of Triphala. The tree is abundantly found in the forests and plains of India. It is very useful in various diseases like Kasa, Visarpa, Mukha roga, asmari etc.It is proven to have antihypertensive activity, antiulcer activity etc. The present review covers the properties and uses of Vibhitaki along with categorization and research studies etc..

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Vibhitaki, Terminalia belerica, Triphala

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