bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Studies on the Effect of Tris-Citric AcidFructose Egg Yolk Glycerol and Tris-Egg Yolk-Glucose based Semen Extender on various Semen Parameters for Effective Long Term Cryopreservation
Authors: Nelsiya N.R. , Vickram A.S.
Published: April 2023

Aim: To evaluate the suitable Semen extender for a long duration of cryopreservation among Tris citric acid fructose egg yolk glycerol extender and Tris-egg yolk-glucose extender,. Materials and Methods: The sample size has been calculated by the clinCalc with an alpha error-threshold at 0.05, 95 % confidence interval (CI), G power at 80%, and enrolment ratio 1. Our study has been repeated 14 times which is (N=14) and it was measured using statistical Independent Samples Test. The study involved 28 sample sizes with 2 different groups with each group containing 14 samples. The collected semen samples are diluted with the Tris-citric acid-fructose egg yolk glycerol extender and Tris-egg yolk-glucose extender, based novel semen extenders. A small quantity of the diluted semen sample was taken to a counting device known as makler counting chamber used for analyzing the sperm count and motility of the semen samples. Results: The Tris-citric acid-fructose egg yolk glycerol extenders were better than Tris-egg yolk-glucose extender. So the estimated sperm count and sperm motility were found to be P <0.05, revealing the statistical insignificance. The characteristics after cryopreservation were decreased than the characteristics before cryopreservation. Conclusion: The sperm parameters were preserved well in Tris-citric acid-fructose egg yolk glycerol semen extender when compared with Tris-egg yolk-glucose based semen extender with respect to sperm count and sperm motility.
Comparative Study on Effectiveness of Organic Grape Juice Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
Authors: Pavantheja V. , Manikandan S.
Published: April 2023

Aim: In developing nations there is a huge loss in post-harvest process and making vinegar from extra fruit, which may be used to preserve some foods and snacks, is a useful technique for reducing these losses. This research was done to determine the amount and quality of innovative grape vinegar produced (sultanina). The juice from Sultanina grapes was utilized in the making of vinegar. Materials and Methods: Two groups are taken with 6 samples per group,G power 80%, Coincidence interval 95%. Grape juice was separated into two batches, with one receiving a 20 percent sugar addition for primary fermentation and the other receiving none. For primary fermentation, we added Saccharomyces cerevisiae to the juice in two separate batches. Acetic acid bacteria (acetobacter) were added and left to acetic acid production through aerobic fermentation for 15 days before vinegar was formed. Results and Discussion: The pH was found to be 2.36, and the acetic acid content was 7.2%. Our innovative grape juice-based vinegar production procedure increased the content of acetic acid by 2.2 percent (p =0.001) , according to the results Conclusion: For the product, researchers looked at color and physical/chemical qualities, and whole chicken preserved in vinegar underwent a sensory examination. When compared to commercial vinegar, grape vinegar has a high acetic acid (7.2%) content. Vinegar with a higher acetic acid concentration can aid to improve the flavour of food.
Comparative Study on Effectiveness of Wine Vinegar Over Commercially Available Vinegar Using Chemical Titration Technique for Chicken Quality Analysis
Authors: Pavantheja V. , Manikandan S.
Published: April 2023

Aim: Vinegar producers are still on a mission to find acetic acid bacteria fermentation that produces extremely strong vinegar. Vinegar fermentation is caused directly by the acetic acid bacteria alcohol respiratory chain, which is found on the intracellular membrane. In the alcohol respiratory chain, enzyme activity is increased through Acetobacter pasteurianus’ semi-permanent vinegar biodegradation, so did the acetification rate. Acetic acid bacteria alcohol respiratory chain activity was increased in a series of experiments with the goal of achieving a high strength fermentation process. Materials and methods: Precursors of alcohol respiration-associated components (ferrous ions and hydroxybenzoic acid) were added, and the air flow rate was increased, to further improve acidification. Researchers examined the color and physical/chemical properties of the finished product, as well as the sensory quality of the vinegar-preserved whole chicken. Two groups are taken with 7 samples per group, G power 80%, coincidence interval will be 95%. Results And Discussion: The pH was found to be 2.37, with an acetic acid content of 8.2%. According to the present study the amount of acetic acid in vinegar was increased by 3.2% using this production method. and the statistical (p=0.001). Conclusion: Three parameters were discovered to increase alcohol oxidation into acetic acid in acetic acid bacteria cells: enzyme activity in the alcohol respiratory chain, precursor of ubiquinone production.
A study on assess the knowledge towards warning signs of breast cancer and prevention among the 4th year b.sc nursing student from SBCN
Authors: Priyadarshini P. , Sarathi S. , Hemavathy V.
Published: April 2023

The most life-threatening illness that is the primary cause of female morality is Breast cancer. Breast cancer research has led to extraordinary breakthroughs in our understanding of the illness over the last two decades, leading in more effective medicines. Now days, In most Of all malignant diseases, one of the most deadly occurring cancer are those cancers occurring in the breast, accounting for 23 percent of all cancer fatalities. It is now a global issue, yet it is still detected in its advanced stages due to women’s neglect in self-inspection. The greater parts of people learn from their disease is thorough practice of screening procedures. Others may come with a breast lump that was discovered by accident, a change in breast shape or size, or nipple discharge, although mastalgia is not unusual. To diagnose breast cancer, a physical examination, imaging, particularly mammography, and tissue biopsy are required. Early detection increases the chances of survival.
Comparison of Antibacterial Activity of Ethanolic Fractions Separated from Trichoderma with the Commercial Antibiotic Methicillin against Drug-Resistant Bacteria using Minimum Inhibitory Concentration Method
Authors: Shruthi S. , Sangeetha K.
Published: April 2023

Aim: To compare the antibacterial activity of innovative ethanolic fractions of Trichoderma viride against Drug-resistant bacteria. Materials and Method: Trichoderma was isolated from the soil sample and the ethanolic extract was prepared from the fully grown mycelia. The ethanolic extract was tested against the four Methicillin-Resistant Staphylococcus aureus strains (MRSA). Clinicalc.com was used to calculate the sample size and found that alpha error-threshold at 0.05, 95% confidence interval, g power at 80% and the enrolment ratio to be 1. Sample size of each group was 12. Results: The MIC was determined to be Escherichia coli, Staphylococcus aureus and Bacillus subtilis-50 μg/mL and Pseudomonas aeruginosa-100 μg/mL and MRSA strains (all four) – 100 μg/mL. The statistical Independent Sample T-Test analysis showed significant antibacterial activity against MRSA for the Trichoderma ethanolic extract with the statistical significance (p<0.05) when compared to the Susceptible bacterial strains. Conclusion: The tested ethanolic extract inhibited the MRSA at 100 μg/mL.
CT Lung Image Classification Systems - A Systematic Review
Authors: Prabhakar P.B.E. , Sivasubramanian S. , Sundaram N.K. , Subburam S. , Rajulu N.S.
Published: April 2023

Computer Aided Detection (CAD) and diagnostic technologies and their application have emerged in the last decade. CAD applications have concentrated on identification of the region of interest, for example nodules in the lung in the images, and analysis of the characteristics of objects. CAD technologies take advantages of computer systems as well as image processing and analysis techniques to overcome perceptual and interpretive errors caused by radiologists in the process of image observation and interpretation. This fact is inevitable in the context of medical practice since experience of image readers may vary and each observer (such as a radiologist) has a unique visual search on an image. Furthermore, there are always inter and intra observer variability for interpretation of an image. To overcome these difficulties, different CAD systems are developed for medical image analysis. This paper presents a systematic review on different CAD systems for lung cancer classification using computed tomography images.
Adaptive Reinforcement learning with Dij-Huff Method to Secure Optimal Route in Smart Healthcare System
Authors: Madhuri K.S. , Jithendranath M.
Published: April 2023

The Wireless Sensor Network (WSN) is a multi-hop wireless network that contains multiple sensor nodes agreed in a self-organized mode. The significant advancement in the healthcare, the security of the medical data became huge disputes for healthcare services. Intrusion Detection System increasingly demands automatic and intelligent intrusion detection approaches to handle threats caused by a growing number of attackers in the WSN environment. Reinforcement Learning is a fundamental approach to improving routing efficiency. This approach introduces Adaptive Reinforcement learning with Dij-Huff Method (ARDM) for secure optimal route in WSN. Adaptive Reinforcement Learning (ARL) is a machine learning technique that selects the best forwarder node. The node energy, node Received Signal Strength, and node delay parameters determine the forwarder nodes in the WSN. Furthermore, the Dij-Huff Procedure (DHP) is a mixture of Dijkstra’s algorithm and Huffman coding. Dijkstra’s algorithm is applied to discover the sensor nodes with the highest energy and the best possible distance route. Huffman coding computes the binary hop count to offer each hop security. The simulation results and their comparison with conventional protocol demonstrate that the proposed scheme has a better detection ratio, a better throughput, and increased energy efficiency.
To assess the role of HDL to triglycerides ratio VS LDL to triglycerides ratio as an indicator in coronary artery disease
Authors: Dayana B.A.A. , Reemmol C.S.
Published: April 2023

Coronary artery disease is the buildup of plaque in the arteries that supply oxygen-rich blood to your heart. Plaque causes a narrowing or blockage that could result in a heart attack. Symptoms include chest pain or discomfort and shortness of breath. Treatment includes lifestyle changes and medication that target your risk factors and or possible surgery. Coronary artery disease is caused by atherosclerosis. Atherosclerosis is the buildup of plaque inside your arteries. Plaque consists of cholesterol fatty substance, waste products, calcium and the clot making substance fibrin. As plaque continues to collect on your artery walls, your arteries narrow and stiffen. Plaque can clog or damage your arteries, which limits or stops blood flow to your muscle. If your heart does not get enough blood, it can’t get the oxygen and nutrients it needs to work properly. This condition is called ischemia. Not getting enough blood supply to your heart muscle can lead to chest discomfort or chest pain called angina. It puts you at risk for a heart attack. The present study aims to assess the role of HDL to triglycerides Vs LDL to triglycerides as an indicator in coronary artery disease. Quantitative experimental research was conducted among 60 coronary artery disease. A Purposive sampling technique was used to select the samples. Self-structured questionnaires were used to collect demographic data. The study results show, LDL to triglyceride had significant role as an indicator in coronary artery disease., p<0.001. Thereby, this indicates that this ratio of LDL to triglycerides as an indicator of coronary artery disease.
Effectiveness of holistic approach to reduce anxiety among obsessive compulsive disorder-pilot analysis
Authors: SARADHADEVI S. , HEMAVATHY V.
Published: April 2023

Anxiety disorders, obsessive-compulsive disorder and have lifetime prevalence rates of 22.8%, 1.7 percent, and 7.9%, respectively and are linked to a lower quality of life.Anxiety disorders are the most frequent emotional difficulties for children, In the United States, 7.1 percent of youngsters (aged 3-17 years) are obese. having been diagnosed with one. 2 When lifetime prevalence is taken into account, up to one-third of the population will develop an anxiety condition at some point in their lives. 3 Obsessive compulsive disorder and anxiety disorders have different symptoms from child to child, making it difficult to distinguish between the many anxiety disorders and Obsessive compulsive disorder. While anxiety disorders and obsessive compulsive disorder commonly co-occur and have similar symptoms, there are a few key differences that might aid in diagnosis. Anxiety generates incorrect or disproportionate responses to perceived hazards, resulting in anxiety disorders’ persistent and intrusive symptoms, such as panic attacks, phobias, and compulsive behaviours, which can be debilitating.
Prognosis of the probability of development and progression of the disease under the influence of factors causing cerebral vascular disorders in vascular parkinsonism
Authors: Akramova D.T. , Azizova R.B. , Kuranbaeva S.R. , Ibodov B.A.
Published: April 2023

Cerebrovascular disease, according to many studies, causes 1 to 15% of cases of Parkinsonism. “...200 out of every 100,000 people in the world have the disease...”. Parkinson’s disease is a chronically stable progressive, unavoidable disease, second only in prevalence among the elderly and among neurodegenerative diseases worldwide. The number of elderly people worldwide has increased by 48% since 2000 and is expected to continue to increase by 56% between 2015 and 2030. According to the International Parkinson’s Foundation, the number of Parkinson’s disease cases worldwide will exceed 10 million by 2020. In particular, prediction of severe complications based on the analysis of neurological, neurophysiological, neuroimaging features of the clinical course of vascular Parkinsonism, prevention of cognitive and motor disorders, assessment of the patient’s disability index through key quality of life indicators, diagnostic and treatment algorithms, and determination of differential approach measures are of particular importance. A number of scientific studies are being conducted worldwide to clarify the features of optimization of multivariate analysis of cerebral vascular impairment in parkinsonism.
Multifactorial utility of vitamins in treatment of covid – 19
Authors: Aggarwal J. , Mathur S. , Batra J.
Published: April 2023

The pathogenesis of the SARS-CoV-2 virus responsible for COVID-19 disease is ever unravelling. Researchers are continuously generating evidence regarding the mechanism of the infection and its complications. There is also an attempt to understand the role of various biomolecules in preventing or treating COVID-19 disease and its complications. Trials show that Vitamin D decreases the rate of admission in ICU. Vitamin C is known to exert the positive influence in decreasing the intensity of viral infections and severe sepsis. Vitamin B12 plays a pivotal role in gut microbiome management. Dietary supplementation of micronutrients with defined roles in immune function can streamline the balance of the body’s immune reaction, lessening the incidence of infections and ICU hospital stay. The focus of this review is to apply our modern knowledge of vitamin D, B12 and C as micronutrients & facilitator of immune competence. We suggest that vitamins D, B12 and C may serve as attenuators to COVID-19 symptoms. Large randomized trials are required to confirm this hypothesis.
Oxidative stress and one carbon metabolism in prostate neoplasm
Authors: Kumari S. , Aggarwal J. , Midha U. , Batra J. , Gupta N.
Published: April 2023

Carcinoma of the prostate is the most common malignant tumour in men over the age of 65 years with peak age of incidence between 70 and 74 years. Oxidative stress and one carbon metabolism are important contributary factors in etiopathogenesis in Prostate Neoplasm. Significant increase in oxidative stress and serum homocysteine level and no difference of serum vitamin B12 was found in BPH and prostate cancer cases compared to control group. Following review compare level of Oxidative Stress Marker and One Carbon Metabolism markers between Prostate neoplasm patients and control Group. Antioxidant drugs may play a role in influencing outcome in these patients. However, randomized trials are required to investigate.
Association between distal decay in second molar and impacted mandibular third molars: a retrospective study
Authors: Lall A.B. , Singhal M. , Mishra J. , Takhellambam P. , Bhardwaj A. , Tomar S. , Kusum T.
Published: April 2023

Lower third molars are the most common impacted teeth encountered in clinical practice. There are various pathologies associated with the impacted tooth such as root resorption, distal caries of the adjacent tooth, cyst formation, periapical radiolucency and osteitis. One of the biggest dilemma faced by clinicians is the prophylactic extraction of the impacted third molar as it can lead to potential pathological complications.
Effect of white, brown and pink noises on anxious pediatric dental patients
Authors: Singh D. , Jain A. , Jain D. , Goyel V.
Published: April 2023

Purpose: To evaluate the effectiveness of various relaxation noises on anxiety levels of children aged between 4-8 years old by analysing through heart rate, FLACC scale and Wong-Baker Faces Pain Rating Scale. Material and methodology: Using simple random sampling 40 children were equally divided into group of four; GROUP 1: Control group ( any cartoon music), GROUP 2: White noise, GROUP 3: Brown noise, Group 4: Pink noise. Patients in each group were treated in a single appointment after using the particular sound distraction technique, Patients who all require extraction under local anaesthesia were included in the study. Patient anxiety level was evaluated by measuring pulse rate, wong baker’s scale, FLACC scale at different time intervals. Results: Among all shades of noises, White noise shown significant results. Conclusion: It was concluded that audiodistraction is the innovative technique for diverting patient’s mind in pediatric dentistry.
Study of prevalence of acute respiratory tract infection and its risk factors among under five children of slums of Ghaziabad city
Authors: Kumar R. , Kant A.R. , Jaiswal A. , Gupta G.K. , Agrawal D.
Published: April 2023

Background-Acute respiratory infections (ARIs) contribute to major disease associated mortality and morbidity among children under 5 years of age. Methodology- This observational cross-sectional study was conducted among the under 5 children in slum population of Ghaziabad city through a house-to-house survey, using a pre-tested, semi-structured questionnaire with a sample size of 667 study participants. Result – In this study 389(58.32%,) individuals were males and 278 (41.68%) females. Most of the study subject 187 (28.04%) belonged to the 0 to <1 year age group. Among the study participants. maximum ARI cases (47.06%) in children were found in the age group 0 to < 1-year children. Majority 25.13% ARI cases were found among the children with 3-to-4-member family. Among all the children, 26.01% ARI cases were found among the children given exclusive breastfeeding, Conclusion: This study identifies the overall prevalence of Acute Respiratory Tract Infection among the under live children and determines the factor influence prevalence of ARI.
Comparative study between CBNAAT and acid-fast bacilli culture in extra pulmonary tuberculosis
Authors: Das P. , Mahendran C.S. , Saxena P. , Kumar S.M.
Published: April 2023

Introduction: Mycobacterium Tuberculosis is a complex organism in which lungs are the main portal of infection. Tuberculosis affecting organs other than lungs called as extrapulmonary tuberculosis. Tuberculous lymphadenitis is the most common form of Extrapulmonary Tuberculosis contributing to 35 percent of Extrapulmonary Tuberculosis cases. CBNAAT is a cartridge based nucleic acid amplification test which detects the presence of Mycobacterium Tuberculosis as well as Rifampicin resistance. Materials and Methodology: Samples were collected from the appropriate extrapulmonary sites which included Lymph Node aspirate, Pleural fluid, Ascitic fluid, Abscess, Cerebrospinal Fluid. The samples were sent for AFB smear, CBNAAT and AFB culture. The data was analyzed and results were compared. Results: This cross-sectional study was conducted in a sample size of 89 patients attending the outpatient department in a tertiary care center in the Department of Respiratory Medicine at Santosh Hospital, Ghaziabad who were clinically suspected cases of Extra Pulmonary Tuberculosis. MTB was detected in CBNAAT in 33(37%) cases giving a Yield of 37% with RIF resistance in 2(2.2%) cases and MTB was detected in 53(59.5%) giving it a yield of 59.5% with RIF resistance in 2. Conclusion: There was statistically significant weak agreement seen between CBNAAT finding and AFB culture finding (Kappa value = 0.48; p value <0.01).
Durability and Stability of Coaxial Wire and 3D-Printed Lingual Bonded Retainer: A Finite Element Study
Authors: Kukreja S. , Goyal V. , Kannan S. , Singh G. , Gupta N. , Kumar S.R.
Published: April 2023

Objective: To evaluate the durability and stability of Coaxial & 3D (Three-dimensional) -printed bonded lingual mandibular retainer wire (3-3) at the middle third position with the application of forces. The objective is to evaluate the displacement of teeth, stiffness, and stresses on the wire. Methods: A comparison of coaxial wire (six-stranded stainless-steel wire) with 3D-Printed retainer wire (chrome cobalt alloy) was done by conducting a FEM (Finite Element Method) study for which mesh models were prepared onto which forces were applied. A load of 10N was applied to simulate biting forces and protrusive jaw movements during mastication. Results: There was a uniform displacement of teeth in the 3D-printed retainer wire whereas, in the case of coaxial retainer wire more force was noted onto the central incisor due to its low stiffness and thus inability to transfer force to an adjacent unit. High stiffness, von mises, and shear stresses were found to be present in the case of a 3D-printed retainer for which the high modulus of elasticity is responsible. The factor of safety for both materials was high but when compared to each other it was higher in the case of the 3D-printed retainer. Conclusion: 3D-Printed retainer wire showed higher durability and stability when compared to coaxial wire retainer, but requires clinical studies for better appraisal.
Salivary cortisol response developed in Patients undergoing Dental treatment
Authors: Singh P.S. , Malhotra T.
Published: April 2023

Aims and objective: The stress control is essential in patients to elude the loss of motivation for Dental procedures .The present study was conducted to estimate salivary cortisol response to stress developed in patients undergoing Dental treatment Methodology : 36 patients had their salivary cortisol levels measured; 30 of them were in the study group and had had root canal, apicoectomy, tooth preparation, and impression-making procedures for the fixed prosthesis. Six of the patients were healthy individuals who didn’t need any dental treatment.The groups demarcated were as follows. Group 1: Control group with no treatment and just the saliva sample was taken. Group 2 ; The patients undergone access opening, Biomechanical preparation and obturation Group 3 ; The patients undergone apicoectomy procedure Group 4 ; The patients undergone tooth preparation and impression making for fixed prosthesis . The salivary cortisol levels were evaluated using Salivary Cortisol Enzyme Immunoassay Kit. Results : The salivary cortisol level was highest in Group 3,followed by Group 2 ,Group 4 and least in Group 1. Conclusion The stress level was lowest in healthy patient and highest when patient underwent apicoectomy procedure in appointment .
Effectiveness of TENS in Orthodontic pain: a Meta-analysis
Authors: Shekhar J.M. , Ahluwalia R. , Chugh T.
Published: April 2023

Introduction: Transcranial electrical nerve stimulation (TENS) is being used to relieve pain in various specialties for ages but till date, no concurrent evidence is achieved on the efficacy of this method to relieve pain, still it is used as a non-pharmacological method of pain relief. For orthodontic pain relief the literature is scanty, as the studies conducted are also very less, hence we conducted this metanalysis to pool the results of these scanty studies and achieve some concurrent evidence of TENS efficacy in pain relief caused due to orthodontic tooth movement. Material and methods: Medline/PubMed, Cochrane, and google scholar were searched for the studies of TENS use in orthodontic tooth movement. Studies having data for 24 hrs. and 48 hrs. after application of tens device were included. The results were scaled and pooled and statistical analysis was done by using python and SPSS software. Results and discussion: Our results were statistically highly significant in favor of TENS with a p-value of 0.0001 indicating that TENS is highly effective in orthodontic pain relief. Conclusion: TENS is highly effective in relieving pain from orthodontic tooth movement.
A pilot analysis on Effectiveness of health education on Attitude regarding management of hypertension among hypertensive patient
Authors: Vasantha K.K.R. , Hemavathy V.
Published: April 2023

Hypertension is when blood pressure is too high. Blood pressure is written as two numbers. The first (systolic) number represents the pressure in blood vessels when the heart contracts or beats. The second (diastolic) number represents the pressure in the vessels when the heart rests between beats.(WHO 2019). Global statistics indicate that only 50% of individuals with hypertension are aware that they actually have high BP and only 14% are controlled (about 8% in low- and middle income countries). The epidemiological evolution for hypertension is witnessed in emergingnations, will give clue to an progress in the incidence of blood pressure. Hypertension as a effect of amplified life suspense and the tension of suburbanization, which is developingspeedily in virtually all unindustrializednations. Domestic history, anxiety, fatness, liquor, a food high in saturated fats or sodium, tobacco use, deskbound lifestyle, and elderly are all threat causes for hypertension. Pre Experimental Research design was adopted in this study.Conclusion: This pilot study concludes by proving the effectiveness of health education on attitude of hypertension among rural adult hypertensive patients .
Granulomatous mastitis – An uncommon finding
Authors: Aarthi K.B. , Verma A. , Garg P.K. , Singh S. , Tyagi M.S. , Pathre A. , Gupta R.K.
Published: April 2023

A 19-year-old female came with complaints of multiple lumps in her right breast of different sizes, which she had noticed one month back. The woman also gave a lactating history and family history of tuberculosis. After obtaining informed consent from the patient, minimally invasive procedure, Fine Needle Aspiration Cytology (FNAC) was performed and about 2 ml of pus like material was aspirated. Giemsa stained microscopic finding showed epithelioid cells along with lymphocytes in a necrotic background that were consistent with Granulomatous mastitis. Sometimes epithelial atypia can be worrisome in cases of mastitis. Hence clinical correlation is necessary along with cytological findings for interpretation. Open biopsy is the gold standard for definitive diagnosis.
Catamenial pneumothorax: a case report
Authors: Сhandra E. , Mahendran C.S. , Gupta A.
Published: April 2023

Introduction- Catamenial pneumothorax, an extremely rare condition, is defined as the accumulation of air in the pleural cavity occurring in conjunction with menstrual periods and during ovulation. It accounts in only 3- 6 %. This is primarily caused by endometriosis of pleura. It is seen in 30- 40 years aged women. Case report- A 35-year-old non-smoker female came to OPD in the department of Respiratory Medicine with complaints of chest pain, breathlessness with dry cough with history of uterine endometriosis. She underwent investigations and diagnosed as a case of pleural endometriosis and managed conservatively. She came with recurrence after 3 months and treated surgically. Discussion- Patient initially was managed with chest tube insertion and hormonal therapy. Later on she had recurrence so she underwent VATS and pleurodesis and recovered well with no complications. Conclusion- Catamenial pneumothorax is a very rare condition which has multidisciplinary management i.e. can be managed by hormonal therapy, chest tube insertion, surgery or in combination.
Studying the effect of the solvent on the spectral properties of the Eosin-y Dye that used as medical laser medium
Authors: Abbas F.S. , Alaboodi A.S. , Abojassim A.A.
Published: April 2023

In this work, four kinds of solvents (Acetone, ethanol, methanol, and Water) were used for studying their effect of the spectral properties of the Eosin-y dye. One concentration used for all solvents which was (1*10-5 m/l). The results show that the Fluorescence and Quantum Efficiency decreased with increasing the solvents polarity where the highest value was found in Acetone. Florescence Life-Time, Radiation Life-Time, and stokes shift measured for all solvents. The absorption spectrum shows shifting toward (long) red wavelengths with increasing the viscosity of the solvents. Florescence spectrum showed that the highest value found Acetone and the lowest value found for water where the intensity decreases as the polarity of the solvent increases. All samples can be used as a laser medium for lasers used in the medical field, and the best sample is dissolved in acetone.
Supervised study of Novel Random Forest Algorithm for prediction of heart disease in Comparison With The Decision Tree Algorithm
Authors: Prasanna S.T.P. , Veeramani T.
Published: April 2023

Aim: The aim of this work is to evaluate the accuracy and precision in predicting heart disease using Decision Tree (DT) and Novel Random forest (RF) Classification algorithms. Materials and Methods: Novel Random forest is appealed on a heart dataset which consists of 150 records. A framework for predicting heart disease in the medical field comparing the proposed and developed RF and DT classifiers. Sample Size Calculated as 55 in every group by using 80% G power. Sample Size Calculated using clinical analysis, with Alpha and Beta values of 0.05 and 0.5, the confidence level. confidence is 95%, nicest strength is 80% and registration rate is 1. Results: The Decision Tree classifier produces 96.42% accuracy in predicting the heart disease on the data set, whereas the Random forest classifier predicts the same at the rate of 78.45% of the time with a statistically significant difference between the two groups (p=0.004;p<0.05)with confidence interval 95%. Hence Novel Random forest is better than the Decision Tree. Conclusion: The results show that the performance of Random forest is better compared with Decision Tree in terms of both precision and accuracy.
Comparing the Efficiency of Heart Disease Prediction using Novel Random Forest, Logistic Regression and Decision Tree And SVM Algorithms
Authors: Prasanna S.T.P. , Veeramani T.
Published: April 2023

Aim: The aim of the work is to evaluate the accuracy and precision in predicting heart disease using Support Vector Machine (SVM), Random forest (RF), Logistic Regression (LR), Decision Tree (DT) Classification algorithms. Materials and Methods: Classification algorithm is appealed on a heart dataset which consists of 180 records. A framework for heart disease prediction in the medical sector comparing Random forest, Logistic Regression, Decision Tree and SVM classifiers has been proposed and developed. The sample size was calculated as 55 in each group using G power 80%. Sample size was calculated using clincalc analysis, with alpha and beta values 0.05 and 0.5, 95% confidence, pretest power 80% and enrolment ratio 1. Results: The Novel Random Forest Algorithm (92.13%), Support Vector Machine (62.51%), Logistic Regression (84.89%), Decision Tree (86.25%) classifiers produce respectively. SVM, RF exists a statistically significant difference between the two groups (p=0.001,p=.004;p<0.05).LR, RF exists a statistically insignificant difference between the two groups (p=.103, P=.080;p>0.05) both with confidence interval 95%. Hence Random forest is better than SVM, RF, DT classifiers. Conclusion: The results show that the performance of RF is better when compared with SVM, LR and DT in terms of both precision and accuracy.
Prediction of Heart Disease using Forest Algorithm over K-nearest neighbors using Machine Learning with Improved Accuracy
Authors: Shanmukha R.K.N.S. , Thinakaran K.
Published: April 2023

Aim: To perform Predicting heart disease using the Forest algorithm and comparing its feature extraction precision with the K-nearest neighbors algorithm for working on the precision of the forecast. Materials and Methods: In the proposed work, Predicting heart disease was carried out using machine learning algorithms such as K-nearest neighbors algorithm (n=10) and Forest Algorithm (n=10). Here the pretest power examination was done with gpower 80% and the sample size for the two gatherings was 20. Results: From The implemented experiment, the Forest algorithm accuracy is significantly better and it is 90.0% than the K-nearest neighbors algorithm 83.00%. There is a measurable 2-tailed significant distinction in exactness for two calculations is 0.001 (p<0.05) by performing Independent samples T-tests. Conclusion: The Forest algorithm got better Accuracy and classification of digits better than K-nearest neighbors algorithm for Predicting heart disease.
Prediction of Heart Disease using Forest Algorithm over Linear Regression Algorithm using Machine Learning With Improved Accuracy
Authors: Shanmukha R.K.N.S. , Thinakaran K.
Published: April 2023

Aim: To perform Predicting heart disease using the Forest algorithm and comparing its feature extraction precision with the Linear Regression Algorithm for improving the accuracy of the prediction. Methods and Materials: In the proposed work, Predicting heart disease was carried out using machine learning algorithms such as Linear Regression (n=10)and Forest algorithm(n=10). Here the pretest power analysis was carried out with 80% and the sample size for the two groups are 20. Results: From The implemented experiment, the Forest algorithm accuracy is 90.32% and the Linear Regression Algorithm 77.21%. There is a statistical 2-tailed significant difference in accuracy for two algorithms is 0.001 (p<0.05) Conclusion: This study concludes that the Forest algorithm on patients healthcare analysis is significantly better than the Linear Regression Algorithm.
Comparative Analysis of Antiviral Properties of Carbohydrates Derivatives over Commercial Antiviral Drugs
Authors: Meghana Kvs. , Sivaprasad S.
Published: April 2023

Aim: The study is about to compare the antiviral properties of gluconolactone derivatives to those of commercial antiviral drugs, using docking to see how the ligand, protein, and antiviral drugs interact molecularly. Materials And Methods: The 3 Dimensional structures of protein and ligands were procured from the PubChem, Drug bank, and PDB databases. The sample size was calculated using G power with pretest power at 80% and alpha value of 0.05. The sample size per group is 10 and total sample size is 30. Docking studies of protein and ligands were performed using Auto dock software. Statistics of the interactions were analyzed using IBM SPSS software. Result: Molecular interactions revealed that Ribavirin shows more affinity towards the protein compared to gluconolactone and Phosphonoformate. The binding affinity values were compared using SPSS software, it reveals that the statistical insignificance observed between the gluconolactone and Phosphonoformate is 0.263 and for gluconolactone and Ribavirin is 0.565 Conclusion: The antiviral Ribavirin appears to be more specific and selectively works against the target protein when compared to the antivirus Phosphonoformate.
CT Image Reconstruction by Boltzmann Machine for Effective Cancer Classification
Authors: Ramakrishnan R. , Somasundaram K. , Meenakshi R. , Chirputkar A.
Published: April 2023

Depending on technology is a surprisingly easy task for a person since the course of parameter change can be calculated intuitively by the consistency of the solution. However, manual parameter modification in many situations is varied. It becomes unworkable when specific parameters occur in a crisis. The model’s performance was evaluated using generalized data throughout the testing step. According to cross-validation studies, a 5-fold method might successfully hamper the overfitting problem. This paper aims to overcome this issue and create a system that changes its parameters automatically in the way humans do. This concept can be illustrated as an optimization-based iterative CT reconstruction model using a pixel-savvy regularisation term. A network of parameter-tuned policies maps an Image data patch to an output defining the position and amplitude of the patch center’s parameter is also setup. The PTPN is designed for a complete strengthening phase. It can be proved that replicated ct images achieve comparable quality or good performance to those reconstructed with electronic parameters under the guidance of the professional PTPN.
Comparative Analysis of Antibiofilm Properties of Carbohydrate derivatives over Commercial Antibiotics
Authors: Meghana Kvs. , Sivaprasad S.
Published: April 2023

Aim: The goal is to compare the antibiofilm characteristics of carbohydrate derivatives to commercial antibiotics, and docking will be used to see how the ligand, protein, and antibiotic interact molecularly. Materials and methods: The protein structure was obtained from the PDB (protein data bank) website, while the ligand structure was obtained from the NCBI-PubChem website. The biofilm from Staphylococcus aureus (bap-c1) as a protein, gluconolactone as a ligand, and nafcillin as an antibiotic are the three different types of chemicals employed for docking. The sample size was calculated using G power with pretest power at 80% and alpha value of 0.05. The sample size per group is 10 and total sample size is 30. Docking studies of protein and ligands were performed using Auto dock software. Statistics of the interactions were analyzed using IBM SPSS software. Result: Molecular interactions revealed that nafcillin shows more affinity towards the protein compared to gluconolactone and clindamycin. The binding affinity values were compared using SPSS software, it reveals that the statistical insignificance observed between the gluconolactone and nafcillin is 0.73 and for gluconolactone and clindamycin is 0.565 Conclusion: The antibiotic nafcillin appears to be more specific and selective in its antibacterial activity against the target protein.
Comparative Study of Molecular Interactions of Thymol and Imatinib with BCR-ABL Fusion Protein In-Silico for the Selective Anti-CML Activity of Thymol
Authors: Lokesh D. , Charan R.M.R.
Published: April 2023

Aim: To study the comparative molecular interactions of Thymol and Imatinib with the active sites of Breakpoint Cluster Region (BCR)-Abelson (ABL) fusion protein using molecular docking analysis for the selective anti-Chronic myeloid leukemia (CML) activity. Materials and Methods: In this study, Group 1 is binding affinity of Imatinib with BCR-ABL Fusion Protein and Group 2 is binding affinity of Thymol with BCR-ABL Fusion Protein. The sample size was calculated with pretest power 80%. The sample size per group is 10 and total sample size is 20. The protein structure of BCR-ABL fusion protein was collected from the protein data bank (PDB) website and the ligand structures were collected from the NCBI-PUBCHEM website. The binding energy (kcal/mol) was calculated using Autodock Vina Software. Results: The mean binding affinity of Imatinib (-10.4 kcal/mol) was significantly (p=<0.001, p<0.001, 2-tailed t-test) higher than Thymol (-6.89 kcal/mol) towards the active sites of BCR-ABL fusion protein. Conclusion: In Spite of lesser binding affinity of Thymol compared to Imatinib, Thymol can make strong hydrogen bond and hydrophobic interactions with the aminoacid residues at the active sites of BCR-ABL fusion protein. It suggests that, thymol may bind selectively to the cells of CML and inhibit their proliferation and can act as novel Anti-CML agent.
Comparative Study of Molecular Interactions of Thymol and B4S with Kinesin-5 In-Silico for the Selective Anti-cancer Activity of Thymol
Authors: Lokesh D. , Charan R.M.R.
Published: April 2023

Aim: To study the comparative molecular interactions of Thymol and 3’-fluoro-4’-(trifluoromethyl)biphenyl-4-sulfonamide (B4S) with the active sites of Kinesin-5 protein using molecular docking analysis for the selective anti-cancer activity. Materials and Methods: In this study, Group 1 is the binding affinity of B4S with Kinesin-5 protein and Group 2 is the binding affinity of Thymol with Kinesin-5 protein. The sample size was calculated with a pretest power of 80%. The sample size per group is 10 and the total sample size is 20. The protein structure of Kinesin-5 protein was collected from the protein data bank (PDB) website and the ligand structures were collected from the NCBI-PubChem website. The binding energy (kcal/mol) was calculated using Autodock Vina Software.The structure of the protein was obtained from the PDB (protein data bank) database and the structures of ligand were obtained from the NCBI-PubChem database. The binding energy (kcal/mol) was calculated using Novel Autodock Vina Software. Results: The mean binding affinity of Thymol (-7.89 kcal/mol) was significantly (p=0.007, p<0.05, 2-tailed t-test) higher than the standard inhibitor B4S (-7.19 kcal/mol) towards the active sites of Kinesin-5 protein. Conclusion: The results suggest that thymol may bind selectively to the cancerous cells and inhibit their proliferation and can act as a novel anti-cancer agent.
Comparative Study of Molecular Interaction of Quercetin and B4S With Kinensin-5 Protein In-Silico for the selective anticancer activity of Quercetin
Authors: Reddypriya G. , Charan R.M.R.
Published: April 2023

Aim: To study the comparative molecular interactions of Quercetin and 3’-fluoro-4’-(trifluoromethyl)biphenyl-4-sulfonamide (B4S) with the active sites of Kinesin-5 protein using molecular docking analysis for the selective anticancer activity. Materials and Methods: The protein structures are collected from the protein data bank (PDB) website and the ligand structures were collected from the PUBCHEM website.The samples were regarded as (N=10) for Kinensin-5 protein with quercetin and (N=10) for Kinensin-5 protein with B4S according to the sample size calculations performed from clinicalc.com with pretest G power 80%. The total sample size was 20. The binding energy (kcal/mol) was calculated using Autodock vina software. The non-covalent protein ligand interactions were detected using protein–ligand interaction profiler (PLIP) webserver. Results: The mean binding affinity of Quercetin (-9.5 kcal/mol) was significantly (p=<0.001, p<0.05, 2-tailed t-test) higher than B4S (-7.21 kcal/mol) towards the active site aminoacid resiues of Kinensin-5 protein. Conclusion: The results indicate that Quercetine has better binding affinity compared the standard Kinensin-5 inhibitor B4S. Hence it may more selectively bind to the cancerous cells to inhibit their proliferation and can acts as a novel anti-cancer agent.
Heart Disease Prediction Based on Age Detection using Novel Logistic Regression over Support Vector Machine
Authors: Karthi C.B.M. , Kalaivani A.
Published: April 2023

Aim: To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Support Vector Machine. Materials and Methods: This study contains 2 groups i.e Novel Logistic Regression and Support Vector Machine. Each group consists of a sample size of 10 and the study parameters include alpha value 0.01, beta value 0.2, and the Gpower value of 0.8. Results: The Novel Logistic Regression (91.60) achieved improved accuracy than the Support Vector Machine (91.83) in Heart Disease Prediction. The statistical significance difference (two-tailed) is 0.01 (p<0.05). Conclusion: The Novel Logistic Regression model is significantly better than the Support Vector Machine in Heart Disease Prediction. It can be also considered a better option for Heart Disease Prediction.
Ensemble Learning method for improving the Healthcare IoT System
Authors: Ramakrishnan R. , Chirputkar A.
Published: April 2023

Wireless Body Area Network (WBAN) is several wearable sensor nodes with unstable sensing, storage, computation, and communication capabilities. Heart infection is an essential origin of death internationally, and early recognition is vital in avoiding the development of the infection. This article presents an Ensemble Learning (EL) method for improving the Healthcare Internet of Things (IoT) System. This approach aims to forecast the risk of heart infection. This method involves dividing the dataset into subgroups at random using a mean-based split. The data is then divided into multiple groups using a classification and regression tree. A weighted aging classifier ensemble is used to create an ensemble from the many trees used for classification and regression. It makes sure an optimal function is reached. The experimental outcomes on the datasets reached better classification accuracies that outperformed other machine learning algorithms like Artificial Neural Network, Naıve Bayes, and Support Vector Machine. The outcomes demonstrate that the risk of heart infection can be forecasted efficiently through ensemble learning.
Smart Edge Detection Technique in X-ray Images for Improving PSNR using Prewitt Edge Detection Algorithm with Gaussian Filter in Comparison with Laplacian Algorithm
Authors: Karthick C.N. , Nirmala P.
Published: April 2023

Aim: This study aims to propose smart edge detection techniques in x-ray images for improving PSNR using the Prewitt edge detection algorithm and comparing it with the laplacian algorithm. Materials and methods: For the design of edge detection technique to improve PSNR Prewitt edge detection algorithm is used along with a gaussian filter and it is compared with the laplacian algorithm. Prewitt edge detection algorithm and laplacian algorithm are the two groups considered in this study. For each group, the sample size is 20 and the total sample size is 40. Sample size calculation was done using clinicalc. com by keeping g-power at 80%, confidence interval at 95%, and the threshold at 0.05%. Result: When comparing the two algorithms, it is clear that the Prewitt edge detection algorithm has a higher mean PSNR value of 39.19 db than the laplacian algorithm of 37.56 db. It is observed that the Prewitt edge detection algorithm is statistically significant p<0.05 than the laplacian algorithm by performing an independent sample t-test. Conclusion: Prewitt edge detection has insignificantly greater PSNR when compared to the Laplacian algorithm.