Volume 11 | Issue 10 |

 Abstract

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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- 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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