bluuebunny/crossref_metadata_2025 huggingface dataset:
Aplasia Cutis Congenita – Case report of a rare case
Authors: Panesar G. , Garg V.K.
Published: April 2023

Aplasia cutis congenita (ACC) is a rare malformation characterized by localized congenital absence of the skin. This condition was first described by Cordon in 1767. We present a 2 month old female who presented to Dermatology OPD of Santosh deemed to be University with a scalp defect and diagnosed as Aplasia Cutis Congenita of scalp and no other accompanying anomaly. This case is presented to highlight the importance of recognising the condition.
Radiographic localisation and management of maxillary impacted canine: a case report
Authors: Lall A.B. , Takhellambam P. , Kusum T. , Singhal M. , Tomar S. , Bhardwaj A. , Mishra J. , Singh S.R.
Published: April 2023

The most commonly impacted teeth in the oral cavity next to the mandibular molars, are the maxillary canines. Generally, impacted canines are asymptomatic in nature, which make the patients less concern about them being impacted until it is associated with any pathology. Therefore, most of the canine impactions are moreover accidentally diagnosed in routine dental visits. In this article, a case of maxillary impacted canine is presented which was asymptomatic like majority of the impacted canines which have been reported in the literature.
Pseudoaneursym Of Lingual ArteryA Rare Case Report
Authors: Bhardwaj A. , Chaudhary M. , Lall A.B. , Singhal M. , Tomar S. , Dua B.
Published: April 2023

Pseudoaneurysm of the lingual artery is very rarely seen, and it can arise due to various reasons such as trauma, inflammation or even neoplasm. Idiopathic pseudoaneurysm along with being very rare can also be life threatening if they are not diagnosed or treated on time. Our case report describes the idiopathic pseudo aneurysm of sublingual artery which was treated by surgical excision.
Complication in buccal space infection: A rare case report
Authors: Bhardwaj A. , Mishra J. , Lall A.B. , Singhal M. , Tomar S. , Takhellambam P.
Published: April 2023

Odontogenic infections have tormented mankind since the dawn of civilization. With the advancement of modern medicine and newer potent antibiotics, one is able to combat this potentially fatal disease. This case report aims to emphasize the importance of timely intervention, role of comorbidities and possible complications of space infection.
Genetic relatedness and antifungal susceptibility pattern of Candida spp. recovered from the oral cancer patients
Authors: Kumar S.A. , Bisht D. , Singh D.N. , Kumar C.J.
Published: April 2023

Introduction: Oral candidiasis is the most common opportunistic infection of the oral cancer patients. Identification of Candida isolates and its susceptibility to antifungal agents will be helpful in the therapeutic management. Aim and Objective: To study the Genetic relatedness and antifungal susceptibility pattern of Candida isolates recovered from the oral cancer patients. Material and Methods: The present study was conducted in the Department of Microbiology at Santosh Medical College, Ghaziabad, U.P. & VarunArjun Medical College & Rohilkhand Hospital, Shahjahanpur, Uttar Pradesh. A total of 377 oropharyngeal cancer patients were selected for the study. The study was conducted from 2019 to 2021. Oropharyngeal swab was cultured by semi-quantitative method on Sabouraud dextrose agar (SDA) and Hi-Chrome agar and followed by identification and Antifungal susceptibility test. The Molecular characterization of Candida albicans and non albicans Candida isolates was performed by DNA extraction and PCR. Results: Out of the 377 oropharyngeal cancer cases, 292 (78.8%) were males and 85 (21.2%) females. The male: female ratio was 3.4:1. Of the 377 oral cancer cases, 152 (40.3%) cases were culture positive for Candida species. 191 isolates were recovered from oral cavity of the cancer patients with oral candidiasis. Isolates included Candida albicans (n = 42, 22.0%), Candida tropicalis (n = 36, 18.8%), Candida parapsilosis (n = 34, 17.9%), Candida dubliniensis (n= 30, 15.7%), Candida krusei (n= 30, 15.7%), Candida glabrata (n = 19, 9. 9%). 142 (74.3%) isolates were susceptible to miconazole followed by Ketoconazole 112 (58.6%), and of and Itraconazole 111 (58.1 %). Conclusion: The decreased effectiveness of antifungal drugs is a serious issue, especially in cancer patients. Hence, addition to emphasis on topical use of Miconazole application in the first stage of oral candidiasis in patients, using alternative systemic drugs such as Ketoconazole and Itraconazole may prove fruitful.
Amnesic potency of nitrous oxide at various titration levels
Authors: Singh D. , Jain A. , Jain D. , Mathur S.
Published: April 2023

Introduction: Dental Treatment for an anxious child has always been a challenge to the pediatric dentist. Nitrous oxide has been documented as a safe and effective pharmacological mean of behaviour management which results in anxiolytic and analgesic effects along with slight amnesic effect. The objective of the study is to evaluate the amnesic effects of nitrous oxide during treatment at 30% and 50% concentrations of nitrous oxide and after 100% oxygen for 3 minutes. Materials and method: 30 Healthy Children (ASA I) of age group 7-12 years undergoing extraction were included in the study. Amnesic effects were evaluated visually by showing various cartoon pictures before the start of the treatment (A1) and subsequently asking the child to recognise them after 30% (A2), 50% (A3) nitrous oxide and after 100% oxygen (A4). Results: Nitrous oxide showed amnesic effects at various titration levels. Discussion: Any invasive dental intervention makes even a cooperative child uncooperative in the subsequent visits. However, any substance having amnesic effect results in no negative memory of the painful procedure performed.Nitrous oxide seems to be promising as a safe and potent amnesic agent. Conclusion: Nitrous oxide shows amnesic effects which can be helpful as it won’t let the child create any traumatic memory of the treatment.
A study on role of oxidative stress and nutrients in patients with pulmonary tuberculosis in a tertiary health care hospital
Authors: Aggarwal J. , Batra J.
Published: April 2023

Background: The association between TB, oxidative stress and dietary supplements is multidirectional. The inflammation associated pathology in tuberculosis leads to the development of the free radical generation. Methods: A cross-sectional study design was selected for the study. This study was carried out in the Department of Biochemistry, Santosh Medical College, Ghaziabad. A total of 75 subjects will be enrolled from department of respiratory medicine from Santosh hospital, Ghaziabad and were divided into 3 groups as 75 healthy individuals of either sex as controls, 75 newly diagnosed patients of pulmonary tuberculosis and 75 patients after 6 months from starting treatment. Patients with newly diagnosed tuberculosis and on anti tubercular treatment (after 6 months) belonging to age group of 18 years and above from either sex were included in this study. The data was collected from July 2020–June 2021. Results: A total of 225 patients were recruited for the study from the department of respiratory medicine. Newly diagnosed cases have significantly increased levels of MDA with values estimated as 4.59 nmol/ml as compared to the healthy subjects with value as 1.82 nmol/ml. Anti oxidant markers i.e. Serum calcium, total antioxidant capacity, Vitamin D and zinc levels were decreased with the TB patients and were raised after 6 months of ATT. Conclusion: Tuberculosis is an important health problem requiring early diagnosis for timely initiation of the therapy and control of disease transmission (RNTCP Guideline 2010). Although the available data suggest that the TB epidemic may be on the decline, the absolute number of new cases is still the highest. Anti tubercular therapy proves to be beneficial in reducing the oxidative stress and hence, the tubercular burden.
Evaluating the erosive potential of various whey protein drinks on dental composites
Authors: Kaur N. , Nikhil V. , Kaur B.P. , Chugh T. , Mittal N. , Kumar V.N.
Published: April 2023

Background: Whey protein beverages’ viscosity, lactose content, and acidic pH could all pose risks to the oral cavity’s current composite restorations. Objectives: Assessing the impact of distilled water (DW), whey protein concentrate (WPC), whey protein isolate (WPI), and whey protein water (WPW) on the surface roughness of four restorative composites with various microstructures (Filtek Z 250XT, Filtek Z 350XT,, Filtek P 60 and Filtek Bulk Fill). Materials & Methodology: A total of eighty samples were divided into 4 groups. From each material, 20 disc-shaped samples were created and wet polished. Samples from each group were subsequently separated into four subgroups based on the amount of time they spent submerged in various Whey protein beverages. In each Protein powder beverage, the soaking protocol was carried out twice for a total of 10 minutes. They were then submerged in fake saliva for an additional 10 minutes every day for 30 days. Samples were kept until the following cycle in distilled water. The surface roughness of all the samples was measured before and after immersion using a contact-type surface profilometer. With a 5% level of significance, the data were statistically analysed using the unpaired “t” test and Mann Whitney U test. Results & Conclusions: The surface roughness of all dental composites substantially increased after immersion in all whey protein beverages, although WPW induced the greatest alterations, followed by WPC and WPI. The biggest increase in surface roughness was seen in Filtek Z 250XT composites, followed by Filtek P 60 composites, with Filtek Bulk Fill demonstrating the lowest increase.
Survey of the processes of the central sterile supply department in tertiary care hospital
Authors: Mishra A. , Jain R. , Rawat A. , Saini V. , Bisht D.
Published: April 2023

Both patients and hospitals are harmed by hospital-acquired infection, sometimes known as “nosocomial infection.” To prevent these hospitals, require excellent disinfection and sterilization technologies, which are now integrated into a single department known as the central sterile supply department (CSSD).Aim is to study Organization, workload and the Quality Control Practices in CSSD. This descriptive, observational and hospital survey based study was carried out over a period of 6 months from November to April in Santosh Medical College & Hospital Ghaziabad. Monitoring of CSSD is done to oversee the use of different sterilization methods and capturing indicators to monitor sterilization process and ensure technical maintenance of the equipment according to National standards and manufacture’s recommendation. CSSD of the institution is centrally located within the hospital. Various articles including linen, dressings, surgical instruments and trays are sterilized in the CSSD. Sterilization is done by steam sterilization and gas sterilization with a total of seven autoclaves and two ETO machines. Physical, chemical are regularly used during the process of sterilization. CSSD of institute with proper practices of sterilization methods helps in continuous improvement required to decrease hospital acquired infections (HAIs).
Study of Referral Process of Neonates Admitted to Sick Newborn Care Units of Lucknow District
Authors: Srivastava S. , Agarwal M. , Saxena S. , Kushwaha S.
Published: April 2023

Background: Nearly 98% of total deaths in neonatal period occur in developing countries all over the world and are mainly caused by infection, asphyxia, LBW and prematuriy. Of all the neonatal deaths happening globally, nearly 30% occur in India. As per global reviews, nearly 15% newborns require facility based care, 10% newborns require SNCU treatment. Objectives: 1) To study the referral process of neonates admitted in Sick Newborn Care Units of Lucknow District. 2) To suggest measures (if, any) to improve the services provided for management of neonates in Sick Newborn Care Units. Methods: A descriptive cross sectional study was conducted among 360 neonates managed in Sick Newborn Care Units of district Lucknow. Out of 5 government SNCUs in Lucknow, 3 were randomly chosen. The schedule was pretested on 10 percent of the total sample of neonates admitted to SNCU. Results: Maximum (74.8%) referrals came from the health facility, 25.2 percent referrals were from the community. In majority (68.3%) of the referred neonates, symptoms appeared within 24 hours of birth. In majority (52.8%) of the cases, symptoms were first seen by doctor at health facility, only in 0.8 percent cases, symptoms were seen by ASHA. Most frequent (27.6%) symptom observed in referred neonate was difficulty breathing.
Diagnosis and treatment of Wilson disease: An update
Authors: Singh A.P. , Batra J. , Khan S.S. , Saxena R. , Saxena S.
Published: April 2023

Wilson’s illness is an autosomal dominant impairment of copper metabolism that results from the lack of or dysfunction of a copper-transporting P-type ATPase, which is expressed on chromosome 13. This ATPase is a component of the trans-Golgi network and is carried by hepatocytes. It transports copper into the secretory route where it is combined with ceruloplasmin and excreted as bile. Affected people gradually develop copper accumulation in the liver since the only pathway for copper excretion in physiological settings is through biliary clearance. Hepatocytes experience cell death when their storage capacity is exceeded, which causes hemolysis, copper leakage into the plasma, and tissue deposition. Children might experience rapid liver failure, silent cirrhosis, or chronic hepatitis. Among the neuropsychiatric symptoms induced by copper overload in the central nervous system that are frequently seen in young people are dystonia, tremors, temperamental disorders, and cognitive deficiencies. Test results showing lower ceruloplasmin levels in serum, elevated urine copper concentration, and elevated intrahepatic copper percentage indicate Wilson’s illness. Because there are more than 100 distinct mutations and most people are compound heterozygotes, molecular genetic analysis is difficult. Copper treatment with penicillamine is a successful therapy for the vast number of patients, and liver transplantation is beneficial in situations of chronic liver failure. The molecular genetic causes of Wilson’s disease have shed new light on the mechanisms governing cellular copper homeostasis.
Forearm Muscles Electromyography Analysis for Cylindrical Grip Sizes in Stroke
Authors: Kumar C. , Batra J. , Saxena R. , Saxena S. , Singh A.P.
Published: April 2023

Purpose: To analyze the electrical activity of Flexor digitorum superficialis and extensor digitorum communis for cylindrical grip sizes of 30 mm and 40 mm in stroke patients. Methodology: 10 MCA affected stroke subjects and 10 normal subjects of same dominance, age and occupation were taken by purposeful sampling from physiotherapy department of M.M. Institute of Physiotherapy & Rehabilitation. They were asked to grip two wooden cylinders of size 30mm and 40mm and electrical activity of Flexor digitorum superficialis and extensor digitorum communis i.e. amplitude and duration were analyzed during maximal contraction. The readings were statistically analyzed to compare the difference of activity in the proposed muscles for two different cylinders. Results: The statistical tests revealed that the differences between the amplitude and duration of the proposed muscles in hemiplegic and normal subjects are statistically significant. However, the difference of amplitude and duration of “Flexor digitorum superficialis” and “Extensor digitorum communis” are not statistically significant within the hemiplegic subjects for both the cylindrical diameters but the prolonged duration of Extensor digitorum communis in 40 mm cylinder was significant statistically. Conclusion: There is a significant difference in the amplitude and duration of forearm muscles i.e. flexor digitorum superficialis and extensor digitorum communis when compared with normals. However, only duration of extensor digitorum communis show significant change among the hemiplegic subjects with the change in grip size. The amplitude and duration of flexor digitorum superficialis and amplitude of extensor digitorum communis does not change significantly.
Factors delaying the Diagnosis of Oral Cancer in India: A clinical insight
Authors: Kumar S.R. , Kovid R.K. , Bharati S.J. , Batra J. , Saini D. , Singh A. , Saxena S. , Saxena R. , Singh A.P.
Published: April 2023

Background: Cancer of the oral cavity is described as the uncontrolled proliferation of cells that can be observed in the Oral cavity. The sore in the mouth could resemble a growth or an open sore, but it won’t go away. Cancers of the lips, tongue, cheeks, floor of the mouth, hard and soft palates, sinuses, and throat can develop in the oral cavity. Oral squamous cell carcinoma is the most prevalent kind of cancer found in mouths and throats. It is well knowledge that tobacco uses in any form, including smoking, chewing tobacco and alcohol consumption, has a substantial influence in the development of oral cancer. It would indicate that patients were unaware of this connection, despite the fact that this is widespread knowledge among medical professionals. Objective: To assess delay in diagnosis of oral cancer. We carried out prospective research on people who had been given a diagnosis of oral cancer. This research paper looks at the disease’s prevalence, the major risk factors for developing oral cancer in India, which include drinking alcohol, smoking or chewing tobacco, and Human papilloma virus (HPV) infections, as well as methods for preventing and treating oral cancer there. Methods: To conduct this study Questionnaires were delivered, assessing oral habits, detect early sign of oral cancer and reasons for delay oral cancer treatment. The analysis made use of the statistical programme SPSS. Design: Cross-sectional questionnaire-based study. Result: There were a total of 150 people that took part in the survey. According to this, 68.7 % of oral cancer cases are caused by smoking, 60 % by drinking alcohol, and 65.3 % by chewing tobacco. It was shown that the level of awareness was directly linked to the education level. Conclusions: The awareness level of oral cancer in this highrisk community was excellent; however, significant gaps exist, pointing to the need for focused health education as well as counseling to help individuals quit risk factors.
Global perspective of cardiac rehabilitation in Post COVID patients
Authors: Fatima A. , Batra J. , Batra A. , Dixit R. , Saxena R. , Saxena S. , Singh A.P.
Published: April 2023

The long-standing style of care known as cardiac rehabilitation (CR) may have been created to lessen the significant burden of cardiovascular diseases (CVD) on people all over the world. In Post COVID era, maintenance of cardiac health in COVID affected patients has been received much attention. Cardiac rehabilitation (CR) may be a sophisticated intervention with multiple components which can provide support in developing health cardiovascular system. The calibre of CR services can vary greatly and have an impact on the extent of patient benefit. The research has demonstrated that cardiac rehabilitation improves quality of life and reduces clinical psychological distress (DSM sadness and anxiety) (QoL). Subclinical discomfort and psychological well-being also demonstrated pertinent clinical implications in cardiac situations. Cardiac rehabilitation could also be an economical. According to studies, the benefits of CR are effective for patients with a variety of cardiac conditions, such as those who have undergone myocardial infarction (MI), coronary artery bypass surgery, stable angina, stable chronic heart failure, heart valve replacement, percutaneous coronary treatments, heart transplantation, cardiac arrhythmias, or severe arterial hypertension. As CR, and in several contexts “pre-habilitation,” are in increased demand, a chronic disability management programme is being given more commonly in home and community settings. As a result of the COVID-19 pandemic’s new requirements, the employment of distant, personalised solutions within this delivery paradigm is currently changing.
Chest X-rays and CT Results from Tuberculosis Screening in Healthcare Workers Using Interferon- Gamma Release Assay (IGRA)
Authors: Kumar S.M. , Saxena P. , Pooja P.
Published: April 2023

Background: To examine the prevalence of tuberculosis (TB) in healthcare workers (HCWs) with positive chest X-ray (CXR) and computed tomography (CT) findings and to ascertain the function of imaging in the diagnosis of TB. Aims & Objectives: This study’s objectives included determining the prevalence of TB based on CXR and CT findings in healthcare professionals with positive IGRA results as well as the function of imaging in the diagnosis and management of pulmonary TB. Materials and Methods: Retrospective investigations were conducted on IGRA positive people among 1976 hospital staff who had been TB-screened using the test. CXR was positive for clustered nodular and/or linear streaky opacities in the upper lung zone. The CT results were categorised. as being active, uncertain, inactive, or typical. The class was regarded as CT-positive if it was active or undetermined. Results: In 195 patients, the IGRA was positive. 190 participants (98.95%) and 90 subjects (46.87%) had CXR and CT, respectively. There were 6 of 190 and 14 of 90 patients with CXR- and CT-positive findings, respectively. 9 and 5 of the 14 CT-positive individuals had active and indeterminate TB results, respectively. All 14 CT-positive participants had negative microbiological reactions for TB. Nine CT-positive people were given empirical anti-TB drugs, and 5 of these 14 subjects tested negative for pulmonary TB on the CXR. Conclusion: CT helped diagnose asymptomatic TB in IGRA-positive HCWs.
Life expectancy decline in people with treated tuberculosis and the possible benefits of prophylaxis
Authors: Mahendran C.S. , Kumar S.M. , Katara P.
Published: April 2023

Background: Evidence of significant, measurable, and preventable loads of mortality risk even after anti-tuberculosis therapy and cure would be a convincing, tangible, and meaningful indicator of the efficacy of prevention. Aims & Objectives: To study of a life expectancy decline in people with treated tuberculosis and the possible benefits of prophylaxis Methods & Materials: We examined the years of potential life lost between 918 people with latent tuberculous infection and a cohort of 386 cured tuberculosis (TB) patients. To estimate the anticipated years of potential life lost for each cohort and for demographic groupings, we built a regression model. Results: When compared to a group without active TB, decedents with a history of thoroughly treated TB are anticipated to lose an additional 3.6 years of life on average. White and Hispanic people were expected to see greater longevity losses than their Black and Asian counterparts. Conclusion: The expected lifetime of treated TB survivors was significantly different from that of a comparable group without active TB, according to our research. With a total of 1485 lifeyears lost, or the equivalent of more than 180 75-year lifespans, these excess losses are considerable. These results highlight an important lost opportunity cost for each TB case that could have been prevented: an average of 3.6 years of life. We come to the conclusion that despite adequate anti-tuberculosis treatment, there is still a significant burden of preventable mortality, which is a strong argument in favour of more widespread and organised use of prevention.
Analyzing Chest X-Ray Lung Images Using Machine Learning
Authors: Somasundaram K. , Ramakrishnan R. , Meenakshi R. , Chirputkar A.
Published: April 2023

Malignancy is one of the dangerous sicknesses across numerous nations. In any case, malignant growth can be restored, whenever recognized at a beginning phase. Analysts are dealing with medical care for early identification and avoidance of malignant growth. Clinical information has arrived at its most extreme potential by giving specialists enormous informational indexes gathered from everywhere the globe. In the current situation, Machine Learning has been broadly utilized in the space of malignancy analysis and guess. Endurance examination might help in the expectation of the beginning stage of sickness, backslide, re-event of infections and biomarker recognizable proof. Uses of ML and data mining strategies in clinical field are as of now the broadest in disease recognition and endurance examination. In this paper, various approaches to distinguish and foresee cellular breakdown in the lungs from the chest X-ray images by utilizing hybrid Machine learning calculations which incorporates Support Vector Machine and ANN (Artificial Neural Networks) and graph theory. Near investigation of different ML procedures and advances has been done over various kinds of information like clinical information, omics information, picture information and so forth.
Theoretical Design of New Healthy Organic Dyes for Solar Cell Applications with Favorite Medicinal Effect
Authors: AL-Temimei F. A. , Mohsen S.H. , Abbas H.H. , Abojassim A.A.
Published: April 2023

In this work, a computational investigation was used to design and study new materials based on carminic acid isomers as organic dyes for DSSCs. Density functional theory (DFT) was applied to report the ground state and the excited state characteristic was reported by utilizing time-dependent DFT (TDDFT) methods. Some electronic, optical, photolytic and electron transfer properties are evaluated to achieve our study. The results indicate that modifying the chemical structure of a dye by doping improves light harvesting efficiency while reducing the driving force for electron injection and the potential of dye renewal while boosting dye aggregation on the electrode surface. The new structures dyes displays strong charge transfer absorption bands in the visible, excellent electronic, sufficient driving force and photoelectric conversion efficiency in comparison with carminic acid. Also, All suggested dyes have sufficient properties to achieve high PCE of the DSSCs. These results are adequate for a potential effective electron injection process. Accordingly, the theoretical methods are significant to provide experimental methods for designing new, highly efficient materials for optoelectronic applications. It was found that these dyes do not have any medical effect on human health.
An efficient Supervised Learning Models for Multimodal MR Brain Image classification
Authors: Meenakshi R. , Ramakrishnan R. , Chirputkar A. , Somasundaram K.
Published: April 2023

The practicality of distinct vehicular communication tissue classifiers is based on lighting training records that replicate a place or purchase circumstance. The use of transfer learning technologies to address sampling mistakes caused by sparse annotations during supervised learning on automated tumour segmentation is recommended. The comprehensive record of a recognised event might be rather extensive. The suggested method is based on a simple and sparse description, and it effectively corrects systematic sampling mistakes for diverse tissue types using domain correction methodologies. A retrospective examination of the 2013 challenge data sets and a multimodal MR image from 19 malignant gliomas patients verified the present strategy. When compared to training on entirely marked outcomes, the time to mark and train is reduced by more than 70 and 180 seconds respectively. This considerably facilitates the creation and ongoing extension of annotated large datasets in a variety of circumstances and imaging environments; this is an important step in the actual deployment of tissue categorization learning algorithms.
Prediction of Heart Disease using Forest Algorithm over Decision Tree using Machine Learning with Improved Accuracy
Authors: Shanmukha R.K.N.S. , Thinakaran K.
Published: April 2023

Aim: To predict the heart disease using Forest Algorithm and comparing it with Decision Tree algorithm for improving the accuracy in predicting heart disease. Methods and Materials: Anticipating coronary illness expectation was completed utilising machine learning calculations, for example, Forest Algorithm and Decision tree. Here the pretest power analysis was carried out with 80% and the sample size for the two groups are 20. Results: Forest Algorithm accuracy is 90.00% while the Decision Tree algorithm has shown an accuracy of 85.00%. 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 accuracy is more significant and more accurate than the Decision Tree for predicting heart disease.
Autism Spectrum Disorder detection by an Intelligent Deep Learning Network
Authors: Chirputkar A. , Ramakrishnan R. , Somasundaram K. , Meenakshi R.
Published: April 2023

Mental disorder Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder that affects a person’s behaviour and communication. In today’s world, ASD is gaining energy faster than ever before, limiting social and cognitive capacities while exhibiting varying expressions from one person to the next. Despite the fact that a lot of research has been done on ASD using various methodologies, the results haven’t shown enough progress in precision and execution. Similarly, finding mental imbalance characteristics through screening exams is time-consuming and costly. The main goal is to present a powerful half breed forecast model using high-level AI approaches like as SVM (Support Vector Machine) and NB (Nave Bayes). When compared to current models that use a real dataset acquired from people, the evaluation findings reveal that the suggested forecast model provides higher results in terms of precision, execution, and accuracy. Furthermore, if the problem is identified, space-specific professionals from designated urban regions are advised.
Comparative Analysis of Anti-Fungal Properties of Carbohydrates Derivatives over Commercial Antifungal Drugs
Authors: Meghana Kvs. , Sivaprasad S.
Published: April 2023

Aim: The goal is to compare the anti-fungal characteristics of carbohydrates derivatives to commercial antibiotics, and docking will be used to see how the ligand, protein, and anti-fungal 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 fungus from aspergillus parasiticus (3HQR) as a protein, gluconolactone as a ligand, and benzimidazoles as an antifungal are the three different types of chemicals employed for docking. The genuine nature of protein chemical structure may be found on the PubChem website, while the remaining two chemical structures of ligand and antifungal can be found on the PDB website. Result: To determine whether or not the interaction between the protein molecule of the fungus from aspergillus parasiticus (3HQR) and the antifungal benzimidazoles is correct. The independent sample t-test was used to compare binding affinity using SPSS software. Significant difference, one-sided p values are.18-.001, and the two-sided p-value is.689 -.001, according to statistics. Conclusion: The antifungal benzimidazoles appear to be more specific and selective in their antifungal activity against the target protein.
Heart Plaque detection with improved accuracy using Logistic Regression and comparing with Least Squares Support Vector Machine
Authors: Kumar V.S. , Vidhya K.
Published: April 2023

Aim: The major goal of this study is to compare the effectiveness of the Logistic Regression classifier with the Least Squares Support Vector Machine classifier in detecting plaque in the heart with high accuracy. Materials and Methods: In this work, the Logistic Regression and least squares Support Vector Machine methods are compared. There were a total of 20 samples in the Kaggle dataset on Heart Plaque disease. To calculate sample G power of 0.08 with 95% confidence interval, Clincalc is utilized. There are two groups in the training dataset (n = 489 (70 percent)) and the test dataset (n = 277 (30 percent)). Results: The accuracy of both the Logistic Regression and Least Squares Support Vector Machine algorithms is evaluated. The Least Squares Support Vector Machine approach was only 67.3 % accurate, while the Logistic Regression method was 96 % accurate. Since p(2-tailed) < 0.05, in SPSS statistical analysis, a significant difference exists between the two groups. Conclusion: The Logistic Regression algorithm is significantly better than Least Squares Support Vector Machine algorithm in this study in detecting cardiac plaque disease in the dataset.
Simulation of Resistivity in Silver and Copper Nanowire Composite Filament using Composite Filament Simulation 3D to predict the Resistivity of the Nanowire
Authors: Sayed M.M.H. , Kishore S.C.
Published: April 2023

Aim: The aim of this research work is to determine and compare the electrical resistivity of silver and copper nanowire by using the Novel Composite Filament Simulation Tool. Materials and Methods: This study was carried out at the Simulation laboratory, Saveetha School of Engineering, Chennai. The sample size calculation was done using clinical.com by keeping alpha error-threshold by 0.05, enrollment ratio as 0:1, 95% confidence interval, power at 80%. Group 1 was silver nanowire (N=20) and group 2 was copper nanowire (N=20). The total sample size was 40. Results: Comparison of electrical resistivity is done by independent sample test using SPSS software. There is a statistical indifference between silver and copper nanowire. Copper nanowire (55%) showed higher resistivity in comparison to silver nanowire (45%). There appears to be a statistically insignificant difference (p=0.269, p>0.05) by using an independent sample T test. Conclusion: Silver nanowire appears to give better electrical conductivity than in copper nanowire.
Simulation of Copper Nanowire by Comparing its Volume and Alignment range using Composite Filament Simulation 3D to predict the Resistivity of the Nanowire
Authors: Sayed M.M.H. , Kishore S.C.
Published: April 2023

Aim: In this research work the simulation of electrical resistivity of copper nanowire by using a Novel Composite Filament Simulation Tool, and comparing the resistivity by its Volume and Alignment range. Materials and Methods: This review was done at the Simulation research lab, Saveetha School of Engineering, Chennai. The sample size computation was finished by past outcomes using clinical.com by keeping alpha error-threshold by 0.05, enrollment ratio as 0:1, 95% confidence interval, power at 80%. Group 1 and 2 are volume (N=20) and alignment range (N=20) of copper nanowire. The complete sample size was 50. Results: Comparison between these two parameters are done by independent sample test using SPSS software. There is a statistical indifference between volume and in alignment range. Copper nanowire based on its volume (55%) showed higher resistivity in comparison to its alignment range (50%). There appears to be a statistically significant difference (p=0.047, p<0.05) by using an independent sample T test. Copper nanowire having volume a high showed better results in comparison to its alignment range. Conclusion: Copper nanowire by volume appears to give better electrical resistivity than its alignment range.
Comparative Study of Molecular Interaction of Quercetin and Imatinib with BCR-ABL Fusion Protein In-Silico for the Selective Anti-CML Activity of Quercetin
Authors: Reddypriya G. , Charan R.M.R.
Published: April 2023

Aim: To study the comparative molecular interactions of Quercetin 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 Quercetin 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. The non-covalent protein ligand interactions were detected using protein–ligand interaction profiler (PLIP) webserver. Results: The mean binding affinity of Imatinib (-10.34 kcal/mol) was significantly (p=<0.001, p<0.001, 2-tailed t-test) higher than Quercetin (-8.8 kcal/mol) towards the active sites of BCR-ABL fusion protein. Conclusion: In Spite of lesser binding affinity of Quercetin compared to Imatinib, Quercetin can make strong hydrogen bond and hydrophobic interactions with the aminoacid residues at the active sites of BCR-ABL fusion protein. It suggests that, Quercetin may bind selectively to the cells of CML and inhibit their proliferation and can act as novel Anti-CML agent.
Comparative Analysis of Antibacterial Properties of Fluorescein Derivatives Over Commercial Antibiotics
Authors: Yeshwanth S.S. , Sivaprasad S.
Published: April 2023

Aim: The study is about to compare the antibacterial properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic 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 Clindamycin shows more affinity towards the protein compared to fluorescein and dicloxacillin. The binding affinity values were compared using SPSS software, it reveals that the statistical insignificance observed between the fluorescein and clindamycin is 0.363 and for fluorescein and dicloxacillin is 0.468 Conclusion: Antibiotic clindamycin appears to be more specific and selectively work against the target protein when compared to the dicloxacillin and fluorescein ligands.
Molecular Modeling and Screening of Antiviral peptides for HIV-Glycoprotein (gp41) using Hpepdock software for the therapy of AIDS (Acquired ImmunoDeficiency Syndrome)
Authors: Anusha G. , Monisha M.
Published: April 2023

Aim: To determine the binding affinity (Kcal/mol) for various antiviral peptides to target AIDS (Acquired Immunodeficiency Syndrome) gp41 protein. Materials and methods: The three-dimensional coordinates of gp41 protein were retrieved from Protein data bank(PDB ID 3VIE). The structures of 16 antiviral peptides were modeled using Hpepdock software. The Hpepdock software was used to perform a molecular docking investigation of gp41 with antiviral peptides. This software uses an algorithm to produce output complexes based on peptide conformations and orientations.The power calculation was done by clinical.cal.com, comparing binding affinity (kal/mol) for HIV virus gp41 protein Alpha error-threshold 0.05 power is 80% and for enrollment ratio-1. Results: Molecular docking analysis revealed that antiviral peptides namely, P9R peptide 3, M1 peptide 1 and P9 peptide 3 could bind gp41 protein with higher affinity in comparison with the reference Macrocyclic iHA-100 peptide. The antiviral peptides of P9R Peptide 3, M1 peptide 1 and P9 Peptide 3 with p=0.029, p<0.05 significant ( -192.321Kcal/mol), p=0.918, p>0.05 insignificant (-179.685Kcal/ mol), p=0.029 p<0.05 significant (-172.523Kcal/mol) showed better results in comparison to reference Macrocyclic iHA-100 peptide ( -207.052 Kcal/mol). Conclusion: The identified novel antiviral peptides could effectively inhibit gp41 protein than other drugs in the market to treat AIDS(acquired immunodeficiency syndrome) disease.
Comparative Analysis of Chronic Kidney Disease using Novel Decision Tree Algorithm by Comparing Linear Regression for Obtaining Better Accuracy
Authors: Rohith J. , Priyadarsini P.S.U.
Published: April 2023

Aim: Chronic kidney disease (CKD) is among the main 20 reasons for death worldwide and influences around 10% of the world grown-up populace. CKD is an issue that upsets typical kidney work. The main objective of this study aims to find the best-suited algorithm that will give us the most ideal prediction. We will be comparing Novel Decision Tree with Linear Regression to find out which of these can give us the best accuracy. Material and Methods: The study used 322 samples with Novel Decision Tree and Linear Regression is executed with varying training and testing splits for predicting the accuracy for kidney disease prediction with the G-power value of 80% and the kidney datasets were collected from various web sources with recent study findings and threshold 0.05%, confidence interval 95% mean and standard deviation. The performance of the classifiers are evaluated based on their accuracy rate using the chronic kidney disease dataset. Results: The accuracy of predicting kidney disease in Novel Decision Tree (96.66%) and Linear Regression (85.25%) is obtained. There is a statistical 2-tailed significant difference in accuracy for two algorithms is 0.000 (p<0.05) by performing independent samples t-tests. Conclusion: This study concludes that the Prediction of Kidney disease using the Novel Decision Tree (DT) algorithm appears to be significantly better than the Linear Regression(LR) with improved accuracy.
Classification And Prediction Of Chronic Kidney Disease Using Novel Decision Tree Algorithm By Comparing Random Forest For Obtaining Better Accuracy
Authors: Rohith J. , Priyadarsini P.S.U.
Published: April 2023

Aim: Chronic Kidney Disease (CKD), also referred to as long-term nephrotic syndrome, has risen exponentially in importance. A person may only remain missing their kidneys for an estimate of 18 days, which creates a huge need for hemodialysis and kidney replacements. The main objective of this study aims to find the best-suited algorithm that will give us the most ideal prediction. We will be comparing Novel Decision Tree with Random forest to find out which of these can give us the best accuracy. Material and Methods: The study used 143 samples with Novel Decision Tree and Random Forest is executed with varying training and testing splits for predicting the accuracy for kidney disease prediction with the G-power value of 80% and the kidney datasets were gathered from different websites, together with data from more recent studies, a criterion of 0.05%, a reliability range of 95%, a means, and a confidence interval. The performance of the classifiers are evaluated based on their accuracy rate using the chronic kidney disease dataset. Results: The accuracy of predicting kidney disease in Novel Decision Tree (96.66%) and Random Forest (62.25%) is obtained. By using independent samples t-tests, it can be shown that there is a statistically 2-tailed notable change in efficiency seen between two algorithms of 0.000 (p<0.05). Conclusion: The report’s findings suggest that the Innovative can be used to predict kidney illness Decision Tree (DT) algorithm appears to be significantly better than the Random Forest (RF) with improved accuracy.
A study to assess the effectiveness of breathing exercises using Hoberman Sphere on respiratory efficacy among post operative children aged between 6-12 years in selected hospital
Authors: Beautily V. , Rishikesh M.
Published: April 2023

The present study aim was to assess the effectiveness of breathing exercises using hoberman sphere on respiratory efficacy among post operative children aged between 6-12 years in Saveetha Medical College and Hospital, Chennai. A quantitative research approach and Quasi experimental research design was adopted for the present study. Among 60 Respiratory Efficacy among Post Operative children selected by convenient sampling technique. Structured questionnaire was used to collect the demographic variables and observation schedule to assess the respiratory status . Among 60 Respiratory efficacy among Post operative children, the pretest mean score of respiratory efficacy among post operative children was 9.90±2.59 and post test mean score of respiratory efficacy was 4.13±2.56. The mean difference score was 5.77. The calculated paired ‘t’ test value of t = 30.370 was found to be statistically significant at p<0.001 level which clearly infers that the administration breathing exercises with Hoberman Sphere among post operative children was found to be effective in improving the level of respiratory efficacy in the post test.
A study to assess the effectiveness of ginger tea on symptoms of dyspepsia among adults
Authors: Cecyli C. , Soundariya S.
Published: April 2023

Introduction: Dyspepsia is a common gastrointestinal (GI) condition around the world. Dyspepsia is a symptom complex that includes a variety of upper GI symptoms such as epigastric pain or burning, early satiety, and post-prandial fullness. Treatment with complementary and alternative medicines, particularly herbal remedies, is one option for treating dyspepsia symptoms. Objectives: The objectives of the study were to evaluate the effectiveness of ginger tea on symptoms of dyspepsia among adults Methods: A one-group pre-test and post-test research design with 30 samples who met the inclusion criteria was used. Demographic and clinical data were collected using a self-structured questionnaire.During the pre-test, a questionnaire (LDQ) was used to assess the severity of dyspepsia symptoms using an interview method. Following the pre-test, 100ml of freshly prepared ginger tea was given once a day, seven days a week, in the morning before meals. The same tool was used for the post-test after seven days of ginger tea administration. Data has been subjected to descriptive and inferential statistics Result: During the pre-test, 13(43.33 %) of the 30 samples had moderate dyspepsia, 9(30%) had severe dyspepsia, and 8 (26.67 %) had mild dyspepsia, whereas in the post-test, 14(46.67%) had moderate dyspepsia, 12(40%) had mild dyspepsia, and 4(13.33%) had severe dyspepsia. Ginger tea is effective when the pre-test and post-test values are compared. At the p<0.001 level, the calculated paired ‘t’ test value of t = 9.104 was found to be statistically highly significant. Demographic variables such as marital status and clinical variables such as dyspepsia duration and smoking history show a significant association with post-test dyspepsia level at p<0.05. Conclusion: According to the study findings, the overall pre-test symptom score was mild to moderate. The post-test symptom score of dyspepsia patients who were given ginger tea showed a significant reduction in symptom severity. It was concluded that ginger had a greater impact on symptom relief in dyspepsia patients than other foods.
Development and validation of educational pamphlet to prevent sleepapnea
Authors: Ramalingam P. , Revathi S. , Vijayasamundeeswari P.
Published: April 2023

Background. Obstructive sleep apnea (OSA) is characterized by recurrent complete (apneas) and partial (hypopneas) upper airway obstructive. The Obstructive Sleep Apnea is one of the leading risk factor for coronary heart diseases and heart failure. Aim. The aim of the study was to develop and validate the educational pamphlet on Obstructive sleep apnea (OSA) Design. A mixed method research design with quantitative research approach was adopted in this study. Methods. Educational pamphlet was developed on prevention and control of Obstructive sleep apnea. The pamphlet was developed in three phases which includes review of content, design / layout of the pamphlet and validation with expert opinion. The pamphlet was validated using Item level content validity index (I-CVI) and Scale level Content Validity Index (S-CVI). individual items which ranged from 0.94 – 1. Scale level Content Validity Index (S-CVI) was 0.9120.