Volume 11 | Issue 10

 Abstract

Abstract: The major purpose of the present study is to be find out the relationship between teaching competency and job satisfaction as well as to find out the differences in teaching competency with respect to teaching experience and type of institution. The present study has conducted on a sample of 100 tribal secondary school women teachers from government and private schools of district Kinnaur. The researcher used multistage sampling techniques in the present study. Descriptive statistics was used to find inferences on the hypotheses. The finding of the study revealed that there is a significant difference in the teaching competency with respect to teaching experience of tribal secondary school women teachers. Teachers with more than five years of teaching experience are more competent in comparison to those with fewer than five years of experience. It means, teachers having five years or more experienced are more competent than less experienced teachers. There is no significant difference found in the type of institution of tribal secondary school women teachers in the teaching competency. It means, government and private tribal secondary school women teachers are the same in teaching competency. There exists a positive significant relationship between teaching competency and job satisfaction.

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Tribal Secondary School Women Teachers, Teaching Competency, Job Satisfaction, Teaching Experience, Type of Institution.

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The challenges in road management, particularly in regulating traffic and mitigating conflicts on smart city roads, are a pressing concern. This paper aims to determine a risk index for safety prediction, assess the performance improvement of safety measures, provide early accident warnings, and determine the fatal rate using trajectory methods to analyze driver behavior, road safety, traffic flow, and vehicle behavior in Bhopal city. The analysis reveals that the highest risk index is concentrated between 5 PM and 7 PM, with peak values observed on Sundays. The findings are based on an examination of various days at different time intervals on smart city roads, particularly focusing on aspects such as driver behavior, vehicle interactions at junctions, and curves. Peak traffic congestion hours are identified as occurring between 5 PM and 7 PM, with slightly elevated traffic volumes between 9 AM and 10 AM. The study underscores non-compliance with traffic rules, including issues like malfunctioning signals, U-turns in the same lane, unauthorized parking, and vehicles encroaching on pedestrian crossings as contributing factors to heightened risk during the identified peak hours. In conclusion, this research provides insights into the challenges and risk factors associated with traffic management and safety in a smart city context, emphasizing specific time frames and days with elevated risk indices. The findings can inform strategies for enhancing road safety and traffic management in Bhopal's smart city road area.

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Drivers behavior , road safety, traffic flow, vehicle behavior

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Sarcasm detection is a vital component of natural language processing with relevance in various real-world applications. Sarcasm, characterized by statements that convey the opposite of their literal meaning, can lead to misinterpretation and misunderstanding in textual data. Therefore, the necessity for sarcasm detection arises in applications such as sentiment analysis, content moderation on social media, customer feedback analysis, text summarization, and human-computer interactions, including chatbots and virtual assistants. Detecting sarcasm ensures that sentiment analysis accurately reflects the intended emotions, aids in maintaining respectful online environments, and enhances customer insights.This research paper presents a sarcasm detection model that leverages pre-trained word embeddings from GloVe (Global Vectors for Word Representation) combined with a Long Short-Term Memory (LSTM) neural network architecture. The goal of this study is to develop an effective model for detecting sarcasm in textual data.The heart of the proposed model is the LSTM layer, a type of recurrent neural network that can capture contextual information in sequences. The model is trained on a labeled dataset of text examples, with binary labels indicating the presence or absence of sarcasm. Experimental results demonstrate the model's effectiveness in detecting sarcasm, with a focus on achieving high accuracy and generalization performance. A visualization of the learning process shows the convergence of training and validation metrics over epochs.The combination of pre-trained embeddings and LSTM architecture highlights the potential for improved sarcasm detection in various applications, including social media analysis, sentiment analysis, and content moderation. This research contributes to the ongoing development of natural language understanding models and their application in sarcasm detection.

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Natural Language Processing(NLP), Long Short Term Memory(LSTM), Global Vectors for Word Representation(GloVe), Recurrent Neural Network (RNN), Word Embeddings.

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The main objective of this paper has been to analyze the impact of capital structure practices on profitability of top two Defence companies in India. This paper investigates Capital Structure Ratios such as Dividend Pay Out Ratio(DPR) and Earnings Retention Ratio(ERR) and Profitability Ratios Such as Return On Net Worth Ratio(RONW), Net Profit Ratio and Return On Capital Employed Ratio(ROCE) for a period from 2018 - 19 to 2022 -23. Descriptive Statistics and Regression analysis have been performed to show the relationship between Response (Dependent) variables and Independent Variables.

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KEY WORDS: Capital Structure, profitability, Ratio analysis.

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The aim of the present study was to develop buccal formulation of Nicorandil to maintain constant therapeutic levels of the drug for over period of 8hrs. Nicorandil dose was fixed as 3mg & total weight of the tablet was kept constant as 100mg.various bioadhesive polymers such as Carbopol 934 (CP), Polyvinylpyrrolidone (PVP), Polyvinylalcohol (PVA) and Ethylcellulose (EC), are used. All the formulations were passed by various physicochemical evaluation parameters and they were found to be within limits. Whereas from the dissolution studies it was evident that the formulation (F3) showed better and desired release pattern i.e.,87.83 in 8hrs and maximum drug release due to high wettability of the polymer PVP and PVA. It followed zero order release kinetics mechanism.

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Nicorandil, Buccal tablet, Bio adhesive polymers, Zero order release kinetics.

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The most valuable and ancient sources of natural aroma ,which have enormous medical and economic value. S.album has been cultivated in India for the past 25 centuries and is renowed across the world for this its aromatic oil,which is delicious,long-lasting ,valuable for medical purposes.Many conventional medical practices , including Ayurveda have uses sandalwood and the essential powder made from the sandalwood , bearwood and various illness are treated and prevented using Siddhan and Uanai medicine.Sandalwood multifaceated therapeutic and medical significance is related to its abundant source of phytochemicals, particularly sesquiterpenes.

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Cosmetics, Natural Santalum album linn, Alternative Medicne, Anti- inflammatory, Anti-oxidant, Alpha-santalol, Beta-santalol.

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???????????:- '??????? ???????' ?? ???????? ??? ???? ???? ??? ?? ????????????? ???? ???? ???????? ????? ??? ?????. ???? ????? ??????? ?? ????????? ????????? ???, ??? ??? ??? ??? ????????? ???????? ?????? ???? ???; ????? ?? ?????????? ????????????? ?????? ?? ?????? ??? ??????? ???? ??? ??? ????????? ???????? ??? ???? ???? ?????????? ????????????? ??????? ????? ??? ?????. ?? ???? ?????? ????????????? ???????? ????????? ???? ??? ?????? ??? ?? ???? ????????? ????? ????. ???? ???? ???????? ??????? ????? ??? ????? ???????? ???????? ????. ?????? ????????? ??????? ???????????? ????? ?????????? ???? ???????? ???? ???? ??? ???????? ??????? ????. ?? ???? ?? ???? ?????????? ????? ?????? ???? ????; ????? ?? ???????? ??????????? ??????? ??? ???? ??????? ???? ????????? ????? ???????? ????. ???????? ?? ????????? '??????? ???' ??????? ????. ?? ???? ????? ????? ????????? ??????? ??????? ?????? ?? ????? ??????? ?????? ??????? ???? ??????? ????????? ????? ??????????? ??? ????. ??????? ???????? ??????? ???? ??? ??????? ??????? ???????? ???? ??????? ????. ??? ??????? ?????? ????????? ?????? ???? ?????? ??????? ????. ???????? ????? ??????? ????????? ????? ??????? ??????? ????. ??????? ??????? ??????? ??????? ??????? ???????? ???????? ?????????? ??????? ????. ??????? ??????? ????? ?????????? ????? ?????????? ????? ????. ????? ???????? ??????????? ???????, ?????? ??? ?????? ???????????? ????-?? ??????? ?????????? ????????????? ?????? ???? ????? ??????? ???? ????. ????????? ??????? ??????????? ?????? ???????? ??? ?????? ????. ?????? ??????? ?????????? ??? ?? ??????? ??????? ??????? ???????? ??????? ??????? ???? ???? ?????? ???? ??? ?????? ????? ??????? ?????????? ????? ??? ???? ?? ??? ??? ?????? ??????? ????? ????.. ???????? ????????? ?????? ??? ??????? ?????????? ???? ?????.

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??????? ???????, ???????, ??????

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Mathematics is well known as the father of all sciences. Each student in their day-to-day life must achieve certain vital goals and objectives. Mathematics is the backbone for prosperity in every field of life. The current state of learning of Mathematics requires urgent attention to determine effective strategies for enhancing students' achievement and saving the nation from plunging into mathematical anarchy which will dim the nation's quest for scientific and technological development. Information Communication Technology (ICT) provides teachers with foundational tools and means to help teachers change teaching methods, support students in independent learning, and actively participate in the discovery of concepts in Mathematics and students gain deeper understanding of Mathematical ideas. Among many approaches for effective teaching learning process, Multiple Intelligence Theory-based teaching is one, which asserts that learning environments should be designed considering individual differences. Therefore, the study determined whether the achievement of students taught through ICT Mediated Multiple Intelligence based teaching will differ from those taught through conventional teaching in the classroom. The study was a quasi-experimental pre-test post-test control group design. The population of the study consist of all secondary CBSE school students from Mysore city of Karnataka state. One CBSE school was purposively selected with 75 sample students of two different sections of the same class were randomly selected as experimental group (37) and control group (38), sample had 31 Girls and 44 Boys. The experiment group was taught Mathematics using ICT Mediated MI Based teaching while the control group with conventional teaching. The instrument for data collection was a researcher made Mathematics Achievement Test with a reliability coefficient of 0.71. The data were analyzed using mean, standard deviation and ANCOVA. The result of the study revealed that ICT Mediated MI Based teaching was effective in enhancing secondary school students' achievement in Mathematics and minimising gender gaps. Recommendations for Mathematics teachers are to apply ICT Mediated MI Based teaching to enhance students' achievement in Mathematics at the secondary school level.

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Mathematics, Multiple Intelligence, Information Communication Technology, ICT Mediated MI Based teaching, Achievement in Mathematics.

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Scientific evidence gathered during the past few decades has allowed the identification of the most efficient training strategies for improving physical performance. However, maximizing the performance capacity of an individual is not only a matter of training, it also depends on optimal balance between training and recovery in order to prevent maladaptation to accumulated psychological and physiological stress induced by training load.

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Effectiveness of self-static stretching vs self-foam rolling among gym beginners with delayed onset muscle soreness (DOMS) in thigh muscles-a comparative study.

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Abstract: The instructional designs in schools are focused on supporting content knowledge but may not be sufficient to promote scientific reasoning ability among students, which is an important factor in improving student performance in science learning. The present study intended to identify the Scientific Reasoning Ability of Secondary School Students. In the present study, the descriptive survey method was used for the collection of data. The size of the sample was 100 students of 9th class from district Shimla of Himachal Pradesh, who were selected through Random Sampling Technique. To analyse the data, the Statistical techniques used in this study were Mean, Standard Deviation and 't'-test. The result of the study showed that among the five dimensions of scientific reasoning ability (i.e., Inductive reasoning, deductive reasoning, analogical reasoning, eclectic reasoning and classification as a reasoning), secondary school students have higher mean scores in Inductive reasoning, deductive reasoning and analogical reasoning, while low mean score were shown in eclectic reasoning and classification as a reasoning. Further, it was revealed that the boys and girls differ significantly in analogical and eclectic reasoning dimensions. Mean scores of boys were higher than girls in inductive and analogical reasoning dimension while, means scores of girls were higher than boys in deductive, eclectic and classification as a reasoning dimension of scientific reasoning ability. These findings point to the necessity of placing more focus on identifying scientific reasoning ability patterns among students so that scientific training as well as informal learning opportunities could be designed to improve scientific reasoning ability among students.

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Scientific Reasoning Ability, Secondary School Students

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The present study seeks to compare the Academic Achievement and Mathematical Anxiety among Secondary School Students of district Shimla. In the present study, the descriptive Survey Method was used to collect the required data. The size of the sample was of 180 students of 10th class comprising 90 Male and 90 Female students from six Secondary Schools of district Shimla, who were selected through Random Sampling Technique. The Statistical techniques used in the present study were Mean, Standard Deviation, Percentage Analysis and 't'-test to analyse the data. The result of the study showed that majority of the Male and Female secondary school students have a Moderate level of Mathematical Anxiety. Further, it was revealed that majority of the Male Secondary School Students have High Academic Achievement level while majority of Female Secondary School Students have Average Academic Achievement level.

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Mathematical Anxiety, Academic Achievement, Gender, Secondary School Students

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A brain tumor is an abnormal growth of cells in the brain. These growths can be benign (non-cancerous) or malignant (cancerous), and they can develop within the brain itself (primary brain tumor) or spread from other parts of the body to the brain (metastatic or secondary brain tumor).Early diagnosis and prompt medical intervention are essential to determine the tumor type, develop an appropriate treatment plan, and potentially improve the prognosis.This research project leverages the power of Deep convolutional neural networks (DCNNs) and transfer learning to classify brain tumor into three distinct categories: Meningioma, Glioma, and Pituitary tumor to assist medical professionals in the accurate diagnosis of brain tumor. The project utilizes the ResNet 50 architecture, a well-established deep learning model pre-trained on large-scale image datasets, to extract meaningful features from brain tumor images. The potential of deep learning in medical image analysis contributes to the early detection and classification of brain tumor. The automated classification system benefits in analyzing medical images rapidly, reducing the time required for diagnosis, and reducing the potential for human error and subjectivity in the interpretation of medical images. The results indicate high accuracy and demonstrate the feasibility of using deep learning models for clinical decision support in the field of radiology and neurosurgery. This research holds promise for improving the speed and accuracy of brain tumor diagnosis, ultimately leading to better patient outcomes.

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Deep Convolutional Neural Networks(DCNN), Brain Tumor, Medical image analysis, ResNet 50, Automated classification, Transfer Learning.

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This paper is a critical analysis on the witness protection laws in India. India does not have any witness protection law and this paper makes a critical analysis of the new "Witness protection scheme 2018" and highlights the need, benefits and various features of the scheme like the rights of witnesses etc. This paper further states various judicial decisions which elucidated the need of a witness protection law. Lastly, the paper highlights the various loopholes of the Witness Protection Scheme 2018, suggests recommendations to eradicate the same and also mentions the witness protection mechanisms of foreign countries.

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witness, witness protection, rights of witnesses,

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ABSTRACT Phytotherapeutic plants have been the main source of raw ingredients for the treatment of a wide range of ailments, since ancient times. In order to maintain a healthy lifestyle and manage illnesses, many people rely on medicinal plants. Ethnomedicinal plant Clematis zeylanica (L.) Pori. also known as Naravelia zeylanica (Linn) DC., belonging to the family ranunculaceae is used in the Indian ayurvedic medicinal system. Helminthiasis, dermatopathy, leprosy, rheumatalgia, odontalgia, colic inflammation, wounds, and ulcers are just a few of the conditions it helps treat. The purpose of the current study was to assess the photochemical and biological characteristics of Clematis zeylanica. The photochemical composition of the ethanol extract of leaves and flowers was examined using Gas chromatogram-Tandem Mass Spectrometry (GC-MS/MS). The ethanol extract of Clematis zeylanica leaves and flowers was subjected to GC-MS/MS analysis and identified 31 and 29 bioactive chemical compounds, respectively. n-Hexadecanoic acid (22.98%), Linoleic acid ethyl ester (9.69%), 9,12,15-Octadecatrienoic acid, ethyl ester, (Z,Z,Z)- (6.94%), and 9,12,15-Octadecatrienoic acid, (Z,Z,Z)- (6.76%), Geranyl palmitoleate (4.30%) make up the majority of the bioactive components in leaves. 3,7,11,15-tetramethylhexadec-2en-1-yl acetate (8.52%), (Tanshinone IIA) Phenanthro[1,2-b]furan-10,11-dione, 6,7,8,9-tetrahydro-1,6,6-trimethyl- (5.84% +3.48% +5.36%), and beta-Tocopherol, O-methyl- (2.58%) are the principal bioactive chemicals found in flowers. This study reports compounds 9,12,15-Octadecatrienoic acid, ethyl ester, (Z,Z,Z)-, 9,12,15-Octadecatrienoic acid, (Z,Z,Z), Linoleic acid ethyl ester, Phenanthro[1,2-b]furan-10,11-dione, Geranyl palmioleate, Squalene as important new lead compounds for the first time from this species. Additional research is required to identify the extract's active ingredient and to clarify the precise mechanism of action in treating various illnesses and develop novel drugs.

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Clematis zeylanica, Ethanol extract, Tanshinone IIA, Squalene, Ethnomedicine, GC-MS/MS.

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- Acute intestinal intussusception is a rare cause of stomach pain in adults, and its diagnosis typically leads to the discovery of an underlying organic cause. The clinical symptoms are ambiguous and non-specific. The use of computed tomography to provide a positive diagnosis and lead the search for an etiological explanation is a reliable method. - After reviewing the literature, we describe a case of colo-colic intussusception in an adult that revealed a well-differentiated lieberkuhnian adenocarcinoma.

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adult intestinal intussusception, lieberkuhnian adenocarcinoma, colon, CT scan.

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????? ????

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- Acute stress-induced cholecystitisis an inflammation of the gallbladder that most often occurs in the intensive care setting. It may be lithiasis or alithiasis and is complicated by perforation in 10% of cases. - A positive diagnosis is difficult and relies on a range of clinical, biological, and radiological factors, some of which may be non-specific. The Niemeier classification defines three types of perforation and helps guide management. - We report a case of biliary peritonitis complicating alithiasic cholecystitis in a setting of severe skin burns, documented in our hospital facility by reviewing data from the literature.

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biliary peritonitis, alithiasic cholecystitis, cholecystectomy, extensive burns, CT scan

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Plants are medicinal and used by people. Soil has been used as food and medicine since ancient times. The movement in today's world is the discovery of herbs in the laboratory and the preliminary tests and post-analysis are good drug users. The main points of the treatment of all diseases are actually hidden behind the scenes. However, improvement in the delivery of herbs, focusing on sustained release to improve patient compliance, etc. Is required. Early herbal therapy did not attract researchers to develop new technologies for drug delivery, and there were problems in formulation, extraction, and analysis. However, New Drug Delivery Systems (NDDS) have now opened the door to producing herbal products using developing technology. Current pharmaceutical technology is changing the amount of herbal products that increase medicinal value and reduce toxicity. Over the past years, many new cultivation techniques have been documented to achieve transformation of different plants, including liposomes, nanoparticles, phytosomes and ethanolosomes. The purpose of this article is to develop different new technologies designed for drug delivery and provide herbs to improve responsible

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NDDS, NANOPARTICLES STUDY OF DRUG RESEARCH

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The application of Artificial Intelligence (AI) is rapidly transforming various industries, and the pharmaceutical industry is no exception. AI is increasingly being used to automate, optimize and personalize various aspects of the pharmacy industry, from drug discovery to drug dispensing. In this context, this paper explores the potential of AI to revolutionize the pharmacy industry, by discussing the current and future applications of AI in the industry. We will examine how AI is being used in drug discovery, personalized medicine, drug safety and quality control, inventory management, and patient counselling. We will also discuss the challenges and limitations of AI in the pharmacy industry, such as data privacy, ethical concerns and regulatory barriers. The paper will argue that AI has the potential to revolutionize the pharmacy industry by enabling faster drug discovery, improving patient outcomes, reducing costs, and increasing the efficiency and accuracy of various pharmacy operations. The old pharmacy system relied on manual processes and human decision-making, while the new AI pharmacy system automates routine tasks, provides personalized treatment plans, and reduces costs while improving patient outcomes. However, it is important to ensure that AI is used ethically and responsibly, and that its impact on the workforce and society is carefully considered. The major benefit of integrating AI into specific applications within the pharmacy field is improved accuracy and efficiency in patient care. Overall, this paper will provide an insight into the future of the pharmacy industry, and the transformative potential of AI in this field.

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Artificial Intelligence, AI, Machine learning, Deep learning, Neural networks, Pharmaceutical Sciences, Pharma Industry, Startups, Drug discovery.

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Through the use of mechanical and chemical methods, soil characteristics are improved in the process of soil stabilization. Binders like cement and lime increase soil stabilization by enhancing their technical qualities and resulting in a better building material. Increasing a soil's shear strength and general bearing capacity is what stabilizes it. Once stabilized, a solid monolith is created that limits permeability, reducing the potential for shrinkage and expansion as well as the negative consequences of freeze-thaw cycles. The extent by which a soil's volume can alter in response to its moisture content is known as its shrink/swell potential. In this study, the combinations of different stabilizers obtained as waste are mixed in different proportions, blended to form ternary blends, and used for the stabilization of BC soil. In this paper, the effect of ternary blends on the Atterberg limits of BC soil is discussed and found to improve their Atterberg limits.

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BC soil, Stabilization, Ternary Blends, Atterberg limits.

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