Cardiometry practice. Part 2

In this study, five heavy metals (Zn, Fe, Pb, Cu, and Cd) concentrations were measured in samples of kerosene (locally only) that collected from different of warehouses oils in Iraq. The measurements have been done using Atomic Absorption Spectrophotometer.

In this study, copper oxide nanoparticles are produced using the probiotic Saccharomyces boulardii in order to assess their biological activity.

To evaluate if switching therapy from an angiotensin converting enzyme inhibitors (ACEI) or angiotensin II receptor blockers (ARB) to sacubitril/valsartan induces incremental left ventricular (LV) reverse remodeling and the effect of switching on quality of life (QOL) in heart failure with reduced ejection fraction (HFrEF).

India's reputation as a country withstrong abstinence culture, particularly when it comes to alcohol, is underappreciated.In recent years, the country has experienced a tremendous development of metropolitan pubs and nightclubs, and it is quickly losing its inhibitions about drinking as a lifestyle choice.

This study focuses on cardiac patients' knowledge of high blood pressure. Blood pressure (BP) beyond 140/90 mm Hg is considered to be hypertension. It is closely linked to unfavorable conditions like heart diseases, renal disease and vascular diseases.

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.

In India, Tuberculosis has been mentioned in the Vedas and the old Ayurvedic scriptures. Historically speaking, fight against Tuberculosis in India can be broadly classified into three periods: early period, before the discoveries of x-ray and chemotherapy; post-independence period, during which nationwide Tuberculosis control programs were initiated and implemented; and the current period, during which the ongoing WHO-assisted Tuberculosis control program is in place.

Chronic Renal Failure is a worldwide public health problem with an increasing incidence and prevalence, poor outcomes and high costs. The health teaching regarding hemodialysis and self care is important to improve the health and well being for patients with chronic renal failure.

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.

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.

As a result of the fast development of technology, healthcare systems have rapidly morphed into an all-pervasive environment that is replete with a variety of difficulties and possibilities. Threats and assaults with severe societal effects have been launched due to the increasing popularity of WBANs and their features and applications.

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.

The present study aims to assess the physiological and biochemical effects of online gaming among children at Veepampattu.

The present study aims to compare and assess the blood sugar level among post COVID patients with diabetes patient and non diabetic clients in Saveetha Medical College and Hospital.

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.

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.

This paper provides a foundation to examine the dermoscopic images for skin cancer diagnosis. A dermoscopic image will often include textured areas that make up a major amount of the image. It is conceivable to organize and categorize such textures according to whether they are related with artifacts or if they reflect biological structure.

The penetration of technology & media advances into football has improved referees' choices on contestable objectives.

With the advent of globalization, concepts like medical tourism, wellness tourism, healthcare tourism, and medical migration have gained popularity.

In order to restrict the imposition of the death penalty to an extremely narrow band of cases, the Supreme Court of India laid down the principle of 'rarest of rare' guiding but not fettering the sentencing discretion of judges.

Slums are high-risk environments for children, which increase the likelihood of development of behavioral problems and poor nutritional status. A definite relationship between behavior and nutrition has been defined in children living in other settings, but evidence from slums is lacking.

New approaches and methods would redefine the global corporate and economies as the pandemic has struck the world.

The uncontrolled spread of the COVID-19 pandemic has forced nations to shut their borders and impel the lockdown.

The pandemic COVID-19 has brought a significant shift in the working pattern in all the sectors, and it has brought up a trend of working from home.

An automated model representing communicating states for a given moment in actual time is theorized in an Automated Supply Chain Dual (SC). When handling instability threats in SCs, we look at the circumstances surrounding the architecture and deployment of the digital twins.

The purpose of this study is to determine the influence of Covid-19 on the intention to purchase online fashion clothing.

The Home Appliance industry is going through an unpredictable situation due to corona virus.

Background: Biodiversity is one of the proud domains of any country in the world. Wildlife as a whole is one of the greatest contributors to the environment worldwide in the human race.

The objective of this paper is to determine the factors that will impact Brand Perception post-COVID-19.

Purpose: The COVID-19 pandemic has brought about several changes in the regular life of consumers.

Precision farming refers to the latest trends in agriculture that use technology to improve quality, quantity, and productivity, thereby ensuring profitability, sustainability, betterment, and preservation of the environment.

Aviation has been a sector that has heavily contributed towards easing lives, addressing transportation needs, and paving the way for new job roles.

Covid-19 is creating a flurry of fear and stigma across the globe. The individual fear is of discrimination at isolation centers, fears of dying alone with no funeral as per rituals.

In this ever-changing world full of emerging technologies and business ideas, the human touch is neglected, and the sense of emotion and feelings goes dull.

Prediction of coronary sickness utilizing novel genetic algorithm and contrasting its accuracy with XG boost algorithm.

The goal of this research is to use parallel piped classifiers and bayesian classifiers to predict and detect kidney stones.

The goal of this research is to use Gaussian maximum Likelihood classifier and Minimum distance to mean Classifier to predict and detect kidney stones.

The aim of this study is to compare and analyze wiener filter algorithm for lung image enhancement over novel histogram equalization technique.

The aim of this research work is for the presence of Innovative Proliferative Diabetic Retinopathy Detection, using modern algorithms, and comparing the Peak Signal to Noise Ratio (PSNR) between Watershed Algorithms and K-Means Clustering Algorithm.

The major goal of this research is to improve the accuracy of the Decision Tree (DT) and Support vector machine (SVM) algorithms and compare their efficiency in detecting breast cancer tumors.

The primary goal of this research is to increase the accuracy of COVID-19 prediction and its analysis.

Aim of this research is to analyze and compare ventricular Cardiac Arrhythmia (CA) classification using Sodium Channel (Na+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbour (KNN) classifiers.

The intent of this research is to analyze and compare ventricular cardiac arrhythmia classification using sodium potassium pump (Na+/K+) channel parameters with Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) classifiers.

To achieve accuracy, sensitivity, and precision in AI (Artificial Intelligence) calculations for the prediction of diabetes among pregnant women, a Support Vector Machine and Random Forest algorithms were utilized.

To find the best algorithm for the prediction of innovative cardiovascular disease accurately, with fewer errors between Random Forest and Support Vector Machine classifiers.

The purpose of this study is to use median filters and wiener filters to minimize noise in liver images in order to improve them. In addition, the output of both filters was analyzed based on their Peak Signal to Noise Ratio (PSNR).

The goal of this study is to compare the accuracy, sensitivity, and specificity of a Decision tree classifier and ANN classifier in detecting Innovative Hepatitis C Detection using modern methodologies.

An effective approach to detect liver disorder using KNN algorithm in comparison with decision tree algorithm to measure accuracy.

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.

The production of innovative Pineapple vinegar necessitates the use of a low-cost raw material due to the commodity's low price.The present investigation represents the use of pineapple waste as a new substrate.

To compare the antibacterial activity of ethyl acetate fractions of Trichoderma viride against Drug-resistant bacteria.

Diabetes is a chronic condition in that Type II diabetes (Formerly called as Non-Insulin Dependent) is the most prevalent, generally affecting adults, diabetes frequently reduces HDL (good) cholesterol levels while raising triglycerides and LDL (bad) cholesterol levels. Both of these factors raise the likelihood of heart disease and stroke.

Formal education is the smooth pathway for learning, or gaining of knowledge, skills and values in a controlled atmosphere with the avowed goal of instructing students.

A biometric is in fact a pattern recognition system that uses biological traits like fingerprints, voice recognition, facial geometry, and hand geometry in addition to different patterns like iris and retina.

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...".

Papillary thyroid cancer (PTC) is one of the generic types of thyroid cancer and most prevalent form of malignancy among all cancers of the thyroid. It is also one of the few cancers with a rapidly increasing incidence.

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.

To evaluate the prevalence and pattern of upper impacted third molar with the help of orthopantomograms (OPG). A total of 276 preoperative orthopantomograms were screened from the year 2020 – 2022 of the patients who reported to the Santosh Dental College and Hospital.

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.

COVID-19 pandemic started in India on 30th January 2020. A nationwide lockdown was enforced from 24th March 2020 and general population was confined to their homes causing many psychological problems. Objective: To find the prevalence of anxiety during the pandemic and post pandemic of COVID-19 among adult population of Ghaziabad city.

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.

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.

One of the major concerns of the current era is Dental anxiety in Pediatric Dentistry. Kids are very well adapted to emojis or emoticons nowadays, and they represent better emotions or moods than a cartoon picture. As a result, this study was carried out to assess a recently created anxiety rating scale.

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

The aim of this study is to compare the oral hygiene status, caries experience, and prevalence of hemophiliac patients and non-Hemophilic controls.

Both patients and hospitals are harmed by hospital-acquired infection, sometimes known as "nosocomial infection.

The structure and functions of neuroendocrine pineal gland remains an enigma to both philosophers and scientists since time immemorial.

To study the use of sputum and broncho alveolar lavage (BAL) for CBNAAT, as an adjunct in the diagnosis of pulmonary tuberculosis, in sputum AFB smear negative patients.

Malnutrition is a frequent concomitant of surgical illness. About 50-60% of patients admitted to General Surgery wards are malnourished on admission.

For both mothers and fetuses, gestational diabetes mellitus (GDM) causes major morbidity and mortality in the Indian population. In pregnancy, serum uric acid levels are higher. Elevated first-trimester uric acid levels can be used to predict GDM.

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.

Sneezing is considered to be physiological defense mechanisms against nasal mucosal irritation due to allergy, infection, or local pathology, unusual triggers of sneezing include light, full stomach, sexual ideation, or orgasm.

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.

ADA levels in PF of 290 individuals were tested to investigate pleural effusion. Based on a positive pleural biopsy, each patient was assessed for age, sex, and the presence of tuberculosis (TB). The Kruskal-Wallis one-way analysis of variance was used to analyze differences in ADA levels between groups.

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.

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.

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.

Comparison of accuracy rate in prediction of cardiovascular disease using Novel Random Forest with Logistic Regression.

The primary aim of this paper is to improve the exactness of the classification of coronary illness predictions using the help of machine learning algorithms.

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.

The objective of the work is to evaluate the performance of the k-Nearest Neighbor classifier in detecting heart plaque with high accuracy and comparing it with the Least Squares Support Vector Machine.

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.

Acral melanoma detection using a fuzzy method vs. convolutional neural network CNN utilizing dermoscopic pictures.

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.

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.

To determine the binding affinity (kcal/mol) for various antiviral peptides to target Influenza A virus PB2 protein using Hpepdock software and comparison with the Macrocyclic iHA-100 peptide (Reference peptide).

To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Decision tree Materials and Methods: This study contains 2 groups i.e Novel Logistic Regression and Decision tree 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 0.8. Results: The Novel Logistic Regression (91.60) achieved improved accuracy than the Decision Tree (89.42) in Heart Disease Prediction.

The current study's goal is to determine the impact of triclosan (TCS) concentrations in the environment and from human exposure on zebrafish larvae heart rate.

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.

Currently kidney disease is a major problem. Because there are so many people with this disease.

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.

It is known that is an ambiguous phenomenon in medicine. There is no generally accepted definition of the concept, and approaches to the interpretation of the essence of the category in question are also different, since polypragmasia, being vital for certain diseases, can become extremely dangerous in certain conditions of the human body, as well as negatively affect the health of patients of certain age groups.

Objective: Saccharomyces boulardii, a probiotic, is used in the current study's manufacture of zinc oxide nanoparticles with the aim of assessing their biological activity.

The relevance of the research work lies in the fact that a significant number of surgical patients are at risk of intra- or postoperative complications, or both, which is associated with prolonged stay in the hospital, costs and mortality.

Schizophrenia is a severe type of mental illness that is both persistent and burdensome. Because they are under a lot of stress coping with caring for schizophrenia patients, family members of these patients often have a negative attitude and a wide spectrum of expressed emotion towards them.

Increased Blood Pressure is one of the main causes for ischemic heart disease, and effective management of Hypertension as a key to preventing both primary and secondary Ischemic heart disease.

Effectiveness of Nursing Care on Patients with Osteoarthritis .Osteoarthritis (OA) is a condition that results in joint inflammation. It’s caused by the wear and tear of cartilage, the tissue protecting the ends of your bones and joints.

True experimental research study was conducted at Haemodialysis’ Unit at Sree Balaji Medical College and Hospital among End stage Kidney disorder patients receiving haemodialysis to determine the efficiency of ROM exercise on selected Renal parameters by using purposive sampling technique 12 patients for control group and 12 from experimental were selected for the study based on inclusion criteria.

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.

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.

As a result of these promising results, researchers believe that gene expression tests are more important in creating more accurate and efficient diagnostic and classification tools for cancer.

Nutritional support is a fundamental component of holistic patient care in the intensive care unit (ICU) and therefore warrants diligent consideration. Critically ill patients are at a higher risk for developing malnutrition due to nature of their illness and their hyper-metabolic state.

Infertility is frequently a secret battle, and depressive symptoms are more common in infertility patients than in cancer patients. Around 60–80 million couples worldwide have infertility, which has a wide range of effects on many different dimensions.

Diabetes Mellitus is one of the most serious health problem that arise from poor sleep quality. Objectives of the study wereto assess the level of sleep quality and glycemic control among patients with diabetes mellitus.

The current study aims to estimate the levels of β HCG among antenatal mothers during second trimester to alert hypertensive disorders during pregnancy.

Aim: the present study aims to assess the relationship between handgrip strength upper limb, anthropometric characteristic and hand disability in adult with type 2 Diabetes Mellitus at SMCH.

Human Papillomavirus (HPV) is the most common sexually transmitted infection in both sexes. In Spite of the vaccines which are highly immunogenic, safe, well tolerated and highly effective in preventing HPV infection the interest shown to receive the vaccine is least.

In the medical field, Wireless Body Area Networks (WBAN) play the main role in keeping users healthy by offering convenient services for doctors and patients. However, the attacker is prevented from tampering with the sensor data by communicating through an unsecured channel, which prevents the forwarded packets from their hazardous origins.

Digitization and pop culture has come a long way. Making and taking experiences online has given new spectrums for fans to participate and integrate.

Thesecond most commonly consumed beverage in the worldis tea. Various forms of tea are destroyed and reported to show tremendous potential use in human health after consumption.

Most of the criminal justice systems worldwide adopt the reformative tools and techniques with the prime object to introduce reformation in convicts instead of using age-old coercive techniques.

Vaccines have been demonstrated to reduce the incidence of disease. With global and regional guidance, the World Health Organization provides information and assistance to immunization programs worldwide.

Menstrual hygiene is a concept of deep concern as; unhygienic practices can lead to health problems like reproductive tract infections and their complications.

A little more than 50 million Indians are reported to have the ill effects of depression, and another 38 million, reported anxiety. Despite this, it is crippling to see that India's emotional well-being is hardly examined.

A newly emerged human Covid-19 virus from Wuhan, China caused by SARS-Cov2 having 96.1% similar genomic sequence as that of a bat has resulted in global pandemic and adversely affected the healthcare sector in terms of management, manpower, planning.

Digital transformation is characterized by gathering individuals, data, and processes to generate value for online customers and stay competitive in the new consumer marketplace.

The World Health Organization (WHO) declared coronavirus (COVID-19) as a global health emergency in January, which has impacted different sectors worldwide.

COVID-19 has created a misbalance in the global economy by affecting multiple sectors.

COVID-19 crisis has changed the way we work. Work-from-home, which was a possibility in some sectors, has become a compulsion for all, which has affected the work-life balance of working professionals.

Movie Theaters in India face a big crisis amid COVID-19, which leads to the shutdown of Theaters for more than five months. In the meantime, Online Streaming Services are expanding their business and revenue like never before.

In today’s highly competitive market when it comes to having a competitive advantage over others, providing superior service quality to the customers is the most important criteria for any industry.

To find the impact of COVID-19 on the sports industry and how the industry will adapt to the changes.

Ambala, a small settlement located near the town of Ramtek, is known for its landscape.

Objective: Customer thinks many times before the purchase of service or product. Many people prefer different sources to identify its legality, such as YouTube, friends, and relatives influencing their purchase decision

In the long and medium term, the evolution of pandemics and the resulting harm to the global economy have been alarming. Pandemics have a variety of detrimental effects on the economy.

Prediction of coronary disease using novel support vector machine and comparing its accuracy with logistic regression algorithm.

The aim of this study is to figure out how to predict and detect kidney stones using Gaussian maximum likelihood classifier and Bayesian classifier and also to compare the results of classification accuracy between Gaussian maximum Likelihood classifier and Bayesian classifier.

The main goal of this project is image enhancement to improve interpretability or perception of information in images for human viewers and also to provide better input for other automated image processing techniques.

The aim of this study is to compare and analyze linear contrast enhancement algorithm for lung image enhancement over novel histogram equalization technique.

The aim of this research work is for the Innovative Diabetic Glaucoma Detection using modern algorithms and comparing the peak signal to noise ratio (PSNR) between K-means Algorithm and Thresholding Algorithm.

The main objective of this study is to compare the efficiency of the k-Nearest Neighbor (KNN) and Support vector machine (SVM) algorithms in detecting breast cancer tumors and to examine their improved accuracy, sensitivity, and precision.

The major goal of this research is to increase the accuracy of innovation prediction and examine the COVID-19.

Aim of this research is to analyze and compare ventricular cardiac arrhythmia classification using calcium channel parameters with Artificial Neural Network (ANN) and K- Nearest Neighbour(KNN) classifier.

The study’s aim is to analyze and compare the accuracy, sensitivity, and precision of diabetic prediction among pregnant women using the innovative Principal Component Analysis algorithm and Support Vector Analysis.

To find the best algorithm for the prediction of Novel Cardiovascular Disease Detection accurately, with fewer errors between Novel Naive Bayes and Support Vector Machine classifiers.

The goal of this research is to reduce noise present in the liver images in order to enhance it using linear contrast and median filters. And also to analyze output of both the filters based on its Peak Signal to Noise Ratio (PSNR).

The major purpose of this project is to improve picture enhancement for human viewers in order to improve interpretability or perception of information in images, as well as to give better input for other automated image processing approaches.

This work provides an effective approach to detect liver disorder using customised SVM algorithm in comparison with random forest algorithm to measure accuracy.

To process an effective approach to detect liver disorder using Naive Bayes algorithm in comparison with Decision tree algorithm to measure accuracy.

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.

The purpose of this research is to develop a new apple vinegar based on Podophyllum peltatum and analyze the fermentation process using a new methodology.

Autism spectrum disorder (ASD) is a behavioural condition that affects the child’s social interaction, communication, and behaviour. The early identification of ASD is critical for the effective and timely therapies.

The healthcare sector is generally "information rich". It is required to mine all the information for finding hidden patterns and making wise diagnostic decisions.

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.

A vital element of widespread patient monitoring is consistency in transmission between the patients and the healthcare professionals not including time and position dependencies.

Healthcare workers (HCWs) stand at the forefront for treating the patients of coronavirus disease 2019 (COVID-19). This puts them at higher risk of acquiring the infection than any other individuals in the community.

The prolonged increase of blood glucose give rise to complications of diabetes- premature atherosclerosis (including cardiovascular diseases and stroke), retinopathy, nephropathy and neuropathy.

Obesity and overweight has become a public health concern. Excess weight in the body is linked to various conditions like Hypertension, diabetes, osteoporosis, and stroke which contributes to morbidity and mortality.

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.

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.

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.

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.

To study the antidiabetic effect of Withania Somnifera root powder (WSR) in Streptozotocin induced diabetic rats.

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.

The current study sought to assess the fracture strength of thin monolithic zirconia crowns of varying thickness and finish line configuration.

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.

Hypertension is one of the essential health problems Worldwide. According to JNC I to VIII guidelines treatment of hypertension with various type of antihypertensive drugs either mono therapy or combination therapy is updated time to time.

Coronaviruses has been spreading across the planet for more than two years now. Emerging new competent variants makes the surge never ending. With over thirty crore cases as on first week of January 2022 this virus has caused serious havoc to humanity.

Ganglion cysts are benign soft tissue formations arising from the joint capsule or tendon sheath containing mucinous fluid

The department of transfusion medicine, also known as blood bank, is one of the most important parts of a healthcare facility.

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.

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

Delusional parasitosis is an infrequent psychotic illness characterized by an unshaken belief of having been infested by a parasite when one is not.

Hepcidin prevents ferroportin-mediated iron efflux, which results in intracellular macrophage iron retention and may encourage Mycobacterium tuberculosis nutrient absorption and TB pathogenesis.

Cardiac arrhythmias is one of the cardiovascular diseases that cause more death in today's industrial world. Among the generation of arrhythmias in cardiac myocytes, Early Afterdepolarization (EAD) and Delayed Afterdepolarization (DAD) is most significant one.

The Aim of the research study is to see how accurate Novel Random Forest (RF) and Support Vector Machine (SVM) classification algorithms were in predicting heart disease.

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.

Predicting heart disease using the Decision Tree and comparing its feature extraction precision with the Logistic Regression algorithm for improving the accuracy of the prediction.

Comparison of accuracy rate in prediction of cardiovascular disease using Naive Bayes with Logistic Regression.

Coronary illness is one of the main sources of mortality in this current world. A basic test in the field of clinical information assessment is the expectation of cardiovascular infection.

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.

The main aim of this research is to detect heart plaque using the Naive Bayes algorithm with improved accuracy and comparing it with Least Squares Support Vector Machine.

The study is about to compare the antibiofilm properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic interact molecularly.

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.

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.

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.

To determine the binding affinity (Kcal/mol) for various antiviral peptides to target AIDS (Acquired Immunodeficiency Syndrome) gp41 protein.

To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and K-NN Algorithm.

The aim of this study is to propose smart edge detection techniques in x-ray images for improving PSNR using canny edge detection algorithm and compared with laplacian algorithm.

This study's objective is to determine how polypropylene fibre impacts self-healing concrete's flexural strength.

Individuals at high-hazard of cardiovascular sickness are no doubt defenseless against ongoing kidney diseases, and historical clinical records can assist with turning away complicated kidney issues.

The objective of this study is to quantify the influence of plastic fiber on the tensile strength of self-compacting concrete using a novel microbial technique Microbial induced calcite precipitation.

The article discusses the features of the diagnosis of coronary blood flow using the cardiometric method. Diagnosis of coronary blood flow is of great importance in cardiology.

The relevance of this research work lies in the fact that at present the EU policy standards are aimed at creating an ecosystem of digital (electronic) healthcare (eHealth). Digital medicine resources can radically transform healthcare, providing effective medical care, and improving diagnostics/treatment/rehabilitation methods.

This study evaluated the role of two-dimensional speckle tracking echocardiography (2D-STE) in evaluation of the LV systolic function in patients had CTO of LAD at 1 day as well as at 3 months after revascularization

The urgency of the problem. The prevalence of background diseases of the cervix (CC) today has the character of an epidemic.

Elevated level of blood glucose hyper glycemia leads to spillage of glucose in t urine, hence that terms sweet urine. Minority populations are disproportionately affected by diabetes.

Alcoholism affects both adults and children, and it is a major medical issue. A high predominance of ailment, insufficiencies, and fatalities has been associated to alcoholism.

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.

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 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.

A wireless body area network (WBAN) collects several tiny sensor nodes in the human body. They are intended to observe data constantly forward and perform as critical structures for remote healthcare monitoring and healing.

Normally atmospheric air contains mixture of gases like nitrogen (78%), oxygen (21%), and small amount of lot of other gases like carbon-di-oxide (0.03%), hydrogen. Oxygen concentrator is a device that concentrate (or) separate oxygen from ambient air by specifically removing nitrogen by process of Pressure Swing Adsorption (PSA).

Inadequacy of breast milk after delivery can be caused by the ineffective breast milk production and ejection. One way that can be done is oxytocin massage to promote breast milk secretion.

The present study aims to assess the uric acid levels in first trimester to predict the gestational diabetic mellitus.

Postpartum period is the time that starts right after birth and extends for about six weeks. Breast engorgement is a problem for many lactating women that must be addressed in the client care.

Faces pain scale and colour analogue pain scale are two methods to assess the pain of the children. There many method to assess the pain of the children but mostly all the hospital is using faces pain scale to assess the pain of the children.

As the prevalence of diabetes is high in the current scenario, globally it is very much essential to control diabetes as a nurse working in the medical profession. Apple cider vinegar has been proven to have beneficial effect in reducing hyperglycemia.

To assess the knowledge on anaemia among antenatal women. To determine the adherence to iron folate supplementation among antenatal women. To identify the relationship between knowledge on anaemia and adherence to iron folate supplementation and to determine the association between knowledge and adherence with the selected background variables of antenatal women.

Alcoholism Physiological problems (hand tremors and blackouts), Psychological problems, (an obsessive desire to drink), Behavioral problems that affect work or social life.

The current research study aims to address the representation of gender in animated content on children's TV in India through the lens of political economy by understanding the perspectives of media experts.

Customer satisfaction has a crucial role in forming consumers' subsequent purchase behavior and intentions.

Menstrual irregularities are very common in young females nowadays. Menstrual irregularities can include an array of conditions like amenorrhea, oligomenorrhea, menorrhagia and metrorrhagia.

Organ trafficking, due to its subtle nature, is a less-addressed form of trafficking, among others. It has been decades that the first-ever successful organ transplantation took place.

Artificial Intelligence (AI) has numerous potential applications in the healthcare sector. These applications vary from its use in quicker disease diagnosis to its assistance for efficiently dealing with pandemic situations.

Today's organizations give rise to a blended workforce, which consists of a healthy mixture of permanent and gig employees.

As the digital medium increasingly becomes an irreplaceable part of life for people, trolling is on the rise too.

Digitalization has helped in the transformation of several industries in the last 20 years.

During a pandemic, the most affected aspects are the business economy and other sectors and areas globally.

Post COVID-19, there is increased psychological stress and depression over the whole world population.

COVID-19 pandemic is far more than just the health crisis. After the Great Depression, the dot-com bubble, and the 2008 financial crash, we are staring at the biggest challenge for the economy. No industry has been spared from the brunt of this pandemic.

The county of origin research has studied the influence of a product's origination on a buyer's impression.

The outbreak of the Covid-19 pandemic has created a profound impact on every sector of our life. The most significant effect of this global pandemic is “global lockdown."The lockdown has brought many changes in our lifestyle.

The world witnessed the biggest pandemic in almost 100 years, the impact of which is felt in all walks of life. It will be early days to predict too many things. But it is essential to foresee the economic impact of COVID-19.

Work-life balance is highly desirable and involves maintaining equilibrium between professional and personal work. With the onset of a novel coronavirus pandemic, the workforce has seen unprecedented changes.

The paper attempts to understand and analyze the factors that influence different types of end consumer's behavior while shopping for groceries both online and offline, considering the Covid-19 pandemic situations.

Prediction of coronary illness utilizing novel Novel k nearest neighbor (KNN) and contrasting its accuracy with decision tree algorithm.

Prediction of heart disease using Novel Random Forest and comparing its accuracy with Naive Bayes algorithm.

The goal of this research is to use minimum distance to mean classifier and bayesian classifiers to predict and detect kidney stones.

The goal of study in this image enhancement technique is to enhance both contrast and sharpness of an image simultaneously to improve PSNR.

The aim of this research work is for the presence of Novel Diabetic Maculopathy Detection using modern algorithms, and comparing the Peak Signal to Noise Ratio (PSNR) between the C-Means clustering Algorithms and Watershed Algorithm.

This research aims to determine the presence of breast cancer using Machine learning techniques and improving the accuracy of breast cancer prediction.

The objective of this study is to use machine learning algorithms to detect the presence of breast cancer tumors and compare accuracy, sensitivity, and precision between the Linear Discriminant Analysis (LDA) and Support vector machine algorithm (SVM).

The primary purpose of this study is to improve the accuracy of COVID-19 prediction and evaluation.

The Motive of this research is to analyze, compare ventricular Cardiac Arrhythmia (CA) classification using potassium channel (k+) parameters with Artificial Neural Network (ANN) and K-Nearest Neighbor (KNN) classifiers.

In comparison to the K-Nearest Neighbor(KNN)algorithm, Logistic Regression(LR) was used in machine learning algorithms for the prediction of diabetes among pregnant women to get better accuracy, PEARCEsensitivity, and precision.

Aim is to find the best algorithm for the prediction of Innovative cardiovascular disease accurately, with fewer errors between Neural Network and Support Vector Machine classifiers.

The main goal of this project is image enhancement to improve interpretability or perception of information in images for human viewers and also to provide better input for other automated image processing techniques.

The purpose of this study is comparing the accuracy, sensitivity and specificity of K-Nearest Neighbor Classifier and Decision Tree classifier in detecting the presence of Novel Hepatitis C Detection using contemporary methods.

The ultimate aim of this work is to show the better mean accuracy of CNN algorithm in comparison with random forest algorithm on detection of liver disorder.

To analyze the most effective Novel semen extender for long time cryopreservation among Tris egg yolk extender and Soya milk extender.

Vinegar producers are still on a mission to find acetic acid bacteria fermentation that produces extremely strong vinegar.

To compare the antibacterial activity of innovative ethanolic fractions of Trichoderma viride against Drug-resistant bacteria.

Computer Aided Detection (CAD) and diagnostic technologies and their application have emerged in the last decade.

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.

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.

In patients in the post-COVID period, there is a decrease in the functional activity of the salivary glands. In general, in patients who underwent COVID-19, basal secretion was reduced by 19.51% (P≤0,05); secretion stimulated by chewing - by 31.67% (P≤0.01) and secretion stimulated by acid - by 29.60% (P≤0.01).

Hypothyroidism may occur as a result of primary gland failure or insufficient thyroid gland stimulation by the hypothalamus or pituitary gland. Hypothyroidism may be associated with pernicious anemia as part of the autoimmune polyglandular endocrinopathy.

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.

Aplasia cutis congenita (ACC) is a rare malformation characterized by localized congenital absence of the skin.

Oral epithelium migrates into the defect when an oroantral communication lasts more than three weeks, at which point it is referred to as an oroantral fistula. Oroantral fistula (OAF) can arise for a variety of reasons, including the extraction of maxillary posterior teeth, treatments for sinus augmentation, the improper use of implant drills, trauma to the craniofacial region, osteoradionecrosis, and flap necrosis.

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.

Cardiovascular diseases (CVD) are the major cause of morbidity and mortality in our society with Dyslipidemia contributing significantly to atherosclerosis. To find proportion and distribution of Dyslipidemia among the apparently healthy young adult visiting the preventive OPD of a tertiary care Hospital.

Acute respiratory infections (ARIs) contribute to major disease associated mortality and morbidity among children under 5 years of age.

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.

Whey protein beverages' viscosity, lactose content, and acidic pH could all pose risks to the oral cavity's current composite restorations.

Patients with different malocclusions may show the different activities of masticatory muscle.

Patients with coronavirus illness experienced a cytokine storm as a major cause of morbidity and mortality in 2019. (COVID-19).

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

Study was conducted to evaluation effect of Atenolol plus Amlodipine on blood glucose level and lipid profile in essential hypertensive patients.

Becker’s nevus is a rare non-cancerous hamartoma characterized by hyperpigmentation and hypertrichiosis with ill-defined borders.

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.

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.

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.

Post-sepsis syndrome is an evolving pathological entity that has gathered marked interest amongst clinicians and researchers over the last two decades.

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.

In this work, a computational investigation was used to design and study new materials based on carminic acid isomers as organic dyes for DSSCs.

The main goal of the research is see how accurately predicting heart disease by Logistic Regression (LR) and Novel Random Forest(RF) Classifications.

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.

To predict the heart disease using Forest Algorithm and comparing it with Decision Tree algorithm for improving the accuracy in predicting heart disease.

Heart attacks are usually caused due to blockages, partially or completely, of the heart’s veins or arteries that constrict the flow of blood from or to the heart.

The cardiac is a vital organ in the human body. Life is entirely dependent on the functional workings of the heart. Cardiovascular disease refers to diseases of the cardiac and the blood vessels that supply it.

The main aim of this research is to detect heart plaque using the Decision Tree algorithm with improved accuracy and comparing it with Least Squares Support Vector Machine.

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.

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.

Identification of acral melanoma using genetic algorithm compared with convolutional neural network CNN using dermoscopic images.

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.

The study is about to compare the antibiofilm properties of Novel Fluorescein derivatives to those of commercial antibiotics, using docking to see how the ligand, protein, and antibiotic interact molecularly.

To improve the accuracy in Heart Disease Prediction using Novel Logistic Regression and Support Vector Machine.

To improve the accuracy in Heart Disease Prediction using Logistic Regression and Random Forest.

The aim of this study is to propose smart edge detection techniques in x-ray images for improving PSNR using the sobel edge detection algorithm and comparing it with the laplacian algorithm.

The goal of this research is to determine the effect of glass fibre on the flexural strength of M20 grade self-healing concrete utilising a unique approach called microbial induced calcite precipitation.

Chronic kidney disease (CKD) is among the main 20 reasons for death worldwide and influences around 10% of the world grown-up populace.

This study aims to propose smart edge detection techniques in x-ray images for improving PSNR using the Robert edge detection algorithm and compared it with the laplacian algorithm.