IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification.

At present times, the drastic advancements in the 5G cellular and internet of things (IoT) technologies find useful in different applications of the healthcare sector. At the same time, COVID-19 is commonly spread from animals to persons, but today it is transmitting among persons by adapting the structure. It is a severe virus and inappropriately resulted in a global pandemic.

Utilization of active learning approaches in medicinal chemistry and subsequent correlations with North American Licensure Examination and Pharmacy Curriculum Outcomes Assessment scores.

Introduction: Student perceptions of active learning methods in medicinal chemistry education and correlation of those perceptions with academic performance measures have not been well studied.

Methods: Perceived usefulness of six active-learning activities (study guides, team activities, assignments/quizzes, make your own questions, and two types of in-class live polls) was evaluated by survey. Correlations between perceived usefulness, active-learning activity grade, course grade, first-time North American Pharmacist Licensure Examination (NAPLEX) score, and Pharmacy Curriculum Outcomes Assessment (PCOA) score were examined.

Higher BMI Confers a Long-Term Functional Status Advantage in Elderly New Zealand European Stroke Patients.

Objective: Obesity is a risk factor for ischaemic stroke but provides a survival advantage. The relationship between body mass index (BMI) and long-term function is less clear. The presence of an obesity paradox can inform clinical care and identify vulnerable patients who need additional support post-stroke.

Changes in Mandibular Third Molar Angulation in High-anchorage Extraction vs Non-extraction Orthodontic Treatment: A Prospective Study.

Aim And Objective: The study aimed to compare the prospective changes in mandibular third molar angulation in high anchorage cases treated with first premolar extractions vs non-extraction orthodontic treatment.

Materials And Methods: The sample consisted of 56 nongrowing patients: Group I had 26 patients with a high anchorage requirement who underwent first premolar extractions and group II had 30 patients who underwent non-extraction treatment. Pretreatment, mid-treatment, and posttreatment panoramic radiographs were obtained for group I and pretreatment and posttreatment for group II.

Neurocognitive Outcomes and Their Diffusion Tensor Imaging Correlates in Children With Mild Traumatic Brain Injury.

This study aimed to assess the neurocognitive outcomes and their diffusion tensor imaging correlates in children (aged 6-16 years) with mild traumatic brain injury. This prospective analysis included 74 children with mild traumatic brain injury (52 boys; mean age: 9.5 [±2.

Device associated infections at a trauma surgical center of India: Trend over eight years.

Background: Device-associated infections (DAIs) are an important cause of excessive stay and mortality in ICUs. Trauma patients are predisposed to acquire such infections due to various factors. The prevalence of HAIs is underreported from developing nations due to a lack of systematic surveillance.

Comparative transcriptome profiling identifies maize line specificity of fungal effectors in the maize-Ustilago maydis interaction.

The biotrophic pathogen Ustilago maydis causes smut disease on maize (Zea mays) and induces the formation of tumours on all aerial parts of the plant. Unlike in other biotrophic interactions, no gene-for-gene interactions have been identified in the maize-U. maydis pathosystem.

Risk-Based Approach for the Prediction and Prevention of Heart Failure.

Targeted prevention of heart failure (HF) remains a critical need given the high prevalence of HF morbidity and mortality. Similar to risk-based prevention of atherosclerotic cardiovascular disease, optimal HF prevention strategies should include quantification of risk in the individual patient. In this review, we discuss incorporation of a quantitative risk-based approach into the existing HF staging landscape and the clinical opportunity that exists to translate available data on risk estimation to help guide personalized decision making.

Giant Terminal Myelocystocele: A Case Report.

Myelocystoceles, also known as syringoceles, syringomyeloceles, and lipomeningomyelocystoceles, represent 5% of all lumbosacral skin-covered masses. Terminal myelocystocele (TMC) is a rare variant of spinal dysraphism. At times, patients with TMCs can present with a huge lumbosacral mass (giant TMC).

Heart Disease and Stroke Statistics-2021 Update: A Report From the American Heart Association.

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports the most up-to-date statistics related to heart disease, stroke, and cardiovascular risk factors, including core health behaviors (smoking, physical activity, diet, and weight) and health factors (cholesterol, blood pressure, and glucose control) that contribute to cardiovascular health. The Statistical Update presents the latest data on a range of major clinical heart and circulatory disease conditions (including stroke, congenital heart disease, rhythm disorders, subclinical atherosclerosis, coronary heart disease, heart failure, valvular disease, venous disease, and peripheral artery disease) and the associated outcomes (including quality of care, procedures, and economic costs).

Methods: The American Heart Association, through its Statistics Committee, continuously monitors and evaluates sources of data on heart disease and stroke in the United States to provide the most current information available in the annual Statistical Update.

Tighter thermodynamic bound on the speed limit in systems with unidirectional transitions.

We consider a general discrete state-space system with both unidirectional and bidirectional links. In contrast to bidirectional links, there is no reverse transition along the unidirectional links. Herein, we first compute the statistical length and the thermodynamic cost function for transitions in the probability space, highlighting contributions from total, environmental, and resetting (unidirectional) entropy production.

Diagnosis of breast cancer based on modern mammography using hybrid transfer learning.

Breast cancer is a common cancer in women. Early detection of breast cancer in particular and cancer, in general, can considerably increase the survival rate of women, and it can be much more effective. This paper mainly focuses on the transfer learning process to detect breast cancer.

On Regularization Based Twin Support Vector Regression with Huber Loss.

Twin support vector regression (TSVR) is generally employed with -insensitive loss function which is not well capable to handle the noises and outliers. According to the definition, Huber loss function performs as quadratic for small errors and linear for others and shows better performance in comparison to Gaussian loss hence it restrains easily for a different type of noises and outliers. Recently, TSVR with Huber loss (HN-TSVR) has been suggested to handle the noise and outliers.

Realizing an Effective COVID-19 Diagnosis System Based on Machine Learning and IoT in Smart Hospital Environment.

The aim of this study is to propose a model based on machine learning (ML) and Internet of Things (IoT) to diagnose patients with COVID-19 in smart hospitals. In this sense, it was emphasized that by the representation for the role of ML models and IoT relevant technologies in smart hospital environment. The accuracy rate of diagnosis (classification) based on laboratory findings can be improved via light ML models.

Unexpectedly Low Natriuretic Peptide Levels in Patients With Heart Failure.

Objectives: The purpose of this study was to determine the frequency of unexpectedly low natriuretic peptide (NP) levels in a clinical population.

Background: Higher NP concentrations are typically observed as a compensatory response to elevated cardiac wall stress. Under these conditions, low NP levels may be indicative of a "NP deficiency.

Utility of admission perfusion CT for the prediction of suboptimal outcome following uncomplicated minor traumatic brain injury.

Purpose: To compare the perfusion parameters of patients with uncomplicated mild traumatic brain injury (mTBI) with healthy controls and to assess whether admission perfusion CT parameters can be used to predict outcome at 6 months post-injury in patients with uncomplicated mTBI.

Methods: Institute ethical committee approval was obtained for this prospective cohort study and informed written consent obtained from all subjects. Patients who sustained mTBI and had no abnormalities on non-contrast CT from June 2010 to January 2012 (20 months) and 10 healthy controls were included and underwent perfusion CT at admission.

Modification of ventriculo-arterial coupling by spironolactone in nonischemic dilated cardiomyopathy.

Aims: We sought to clarify the role of ventriculo-arterial (V-A) coupling in the treatment of nonischemic dilated cardiomyopathy (NIDCM) by adding a mineralocorticoid receptor antagonist (MRA) to conventional anti-failure therapy.

Methods And Results: We employed cardiac magnetic resonance imaging to quantify left ventricular (LV) contractility and V-A coupling in normal subjects at rest (n = 11) and in patients with NIDCM (n = 12) before and after long term anti-failure therapy, in which MRA was added to conventional anti-failure therapy. After ≥6 months' treatment in NIDCM patients, LV volumes and mass decreased, and the LV ejection fraction increased from a median of 24% (17, 27) (interquartile range IQR) to 47 (42, 52) (P < 0.

Phase I/II Study of Extreme Hypofractionated Stereotactic Body Radiation Therapy Boost to Prostate for Locally Advanced, Node-Positive and Oligometastatic Cancer.

Introduction:  Stereotactic body radiation therapy (SBRT) is increasingly being utilized to deliver escalated radiation doses for improving outcomes in various malignancies. We analyzed our cohort of locally advanced, node-positive, and bone oligometastatic prostate cancer patients, that were treated with a combination of pelvic RT using conventional fractionation (CF) and SBRT boost to prostate using extreme hypofractionation (EH), along with hormone therapy (HT).

Materials And Methods:  Outcomes of 44 prospectively treated patients were analyzed.

Discovering and Visualizing Disease-Specific Electrocardiogram Features Using Deep Learning: Proof-of-Concept in Phospholamban Gene Mutation Carriers.

Background: ECG interpretation requires expertise and is mostly based on physician recognition of specific patterns, which may be challenging in rare cardiac diseases. Deep neural networks (DNNs) can discover complex features in ECGs and may facilitate the detection of novel features which possibly play a pathophysiological role in relatively unknown diseases. Using a cohort of PLN (phospholamban) p.

Prevalence and Relationship of Rest Tremor and Action Tremor in Parkinson's Disease.

Background: Despite the significance of tremor in Parkinson's disease (PD) diagnosis, classification, and patient's quality of life, there is a relative lack of data on prevalence and relationship of different tremor types in PD.

Methods: The presence of rest tremor (RT) and action tremor (AT; defined as combination of both postural and kinetic tremor) was determined and RT severity was defined using the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS) at baseline in the Progression Marker Initiative (PPMI, n = 423), the Fox Investigation for New Discovery of Biomarkers (BioFIND, n = 118) and the Parkinson's Disease Biomarkers Program (PDBP, n = 873) cohorts.

Results: Across baseline data of all three cohorts, RT prevalence (58.

Asymmetric stochastic resetting: Modeling catastrophic events.

In the classical stochastic resetting problem, a particle, moving according to some stochastic dynamics, undergoes random interruptions that bring it to a selected domain, and then the process recommences. Hitherto, the resetting mechanism has been introduced as a symmetric reset about the preferred location. However, in nature, there are several instances where a system can only reset from certain directions, e.

Duration of Viral Clearance in Children With SARS-CoV-2 Infection in Rajasthan, India.

Objective: To study the clinical and laboratory profile and to assess period for viral clearance in COVID 19 children.

Methods: We reviewed hospital records of children (<18 years) admitted from 1 April to 31 May, 2020 at a tertiary-care public hospital and identified those positive for severe acute respiratory syndrome corona virus (SARS-CoV-2) by RT-PCR of respiratory secretions.

Results: 81.

Lower Cardiac Output Relates to Longitudinal Cognitive Decline in Aging Adults.

Background: Subclinical reductions in cardiac output correspond to lower cerebral blood flow (CBF), placing the brain at risk for functional changes.

Objectives: This study aims to establish the consequences of reduced cardiac output on longitudinal cognitive outcomes in aging adults.

Methods: Vanderbilt Memory and Aging Project participants free of clinical dementia and heart failure ( = 306, 73 ± 7, 58% male) underwent baseline echocardiography to assess cardiac output (L/min) and longitudinal neuropsychological assessment at baseline, 18 months, 3 and 5 years.