Gait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.

A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder that results in a gradual reduction in motor function. Early detection and monitoring of the disease progression is highly challenging due to the gradual progression of symptoms and the inadequacy of conventional methods in identifying subtle changes in mobility.

Google trend analysis of the Indian population reveals a panel of seasonally sensitive comorbid symptoms with implications for monitoring the seasonally sensitive human population.

Seasonal variations in the environment induce observable changes in the human physiological system and manifest as various clinical symptoms in a specific human population. Our earlier studies predicted four global severe seasonal sensitive comorbid lifestyle diseases (SCLDs), namely, asthma, obesity, hypertension, and fibrosis. Our studies further indicated that the SCLD category of the human population may be maladapted or unacclimatized to seasonal changes.

A Rare Case Report of Enchondroma of Triquetrum and Pisiform.

Introduction: Enchondroma is a cartilaginous benign tumor of bone with the most common involvement of tubular bones of hands and feet. The triquetrum and pisiform are carpal bones and the enchondroma of the triquetrum and pisiform has not been reported in the literature to the best of our knowledge.

Case Report: A 26-year-old male presented with swelling over his right wrist with painful terminal motion.

Synthesis and characterization of novel histidine functionalized chitosan nanoformulations and its bioactivity in tomato plant.

The use of novel active ingredients for the functional modification of chitosan nanoformulations has attracted global attention. In this study, chitosan has been functionalized via histidine to craft novel chitosan-histidine nanoformulation (C-H NF) using ionic gelation method. C-H NF exhibited elite physico-biochemical properties, influencing physiological and biochemical dynamics in Tomato.

Green route to fabrication of Semal-ZnO nanoparticles for efficient solar-driven catalysis of noxious dyes in diverse aquatic environments.

This work successfully demonstrates a sustainable and environmentally friendly approach for synthesizing Semal-ZnO nanoparticles (NPs) using the aqueous leaf extract of L. These NPs exhibit an absorption peak at approximately 390 nm in the UV-visible spectrum and an energy gap (E) of 3.11 eV.

A precise model for skin cancer diagnosis using hybrid U-Net and improved MobileNet-V3 with hyperparameters optimization.

Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt and precise diagnosis in order to ensure efficacious treatment. This paper introduces an innovative approach for accurately identifying skin cancer by utilizing Convolution Neural Network architecture and optimizing hyperparameters. The proposed approach aims to increase the precision and efficacy of skin cancer recognition and consequently enhance patients' experiences.

Circulating Tumor Cells in Oral Cancer.

Till now, oral squamous cell carcinoma (OSCC) is graded as well-differentiated, moderately-differentiated, poorly-differentiated, and undifferentiated. However, this grading does not have a prediction of the prognosis of the patient. Also, prognosis impacts lymph node metastases, surgical margins, and vascular invasions (neural invasion, muscular invasion, salivary gland invasion).

A hybrid cloud load balancing and host utilization prediction method using deep learning and optimization techniques.

Virtual machine (VM) integration methods have effectively proven an optimized load balancing in cloud data centers. The main challenge with VM integration methods is the trade-off among cost effectiveness, quality of service, performance, optimal resource utilization and compliance with service level agreement violations. Deep Learning methods are widely used in existing research on cloud load balancing.

Developing an SDN security model (EnsureS) based on lightweight service path validation with batch hashing and tag verification.

Software-defined networking (SDN) has significantly transformed the field of network management through the consolidation of control and provision of enhanced adaptability. However, this paradigm shift has concurrently presented novel security concerns. The preservation of service path integrity holds significant importance within SDN environments due to the potential for malevolent entities to exploit network flows, resulting in a range of security breaches.

Fluoride release by restorative materials after applying surface coating agents.

The prompt use of an enamel surface covering reagent is advised to safeguard the dental restorative substance from mishaps. Therefore, it is of interest to assess the fluoride emitting capabilities of standard GIC, and Zirconomer cement together with surface coverings and without surface coverings. The conventional GIC cement was part of experimental category A while Zirconomer cement was part of category B.

Hyper-parameter tuned deep learning approach for effective human monkeypox disease detection.

Human monkeypox is a very unusual virus that can devastate society. Early identification and diagnosis are essential to treat and manage an illness effectively. Human monkeypox disease detection using deep learning models has attracted increasing attention recently.

Fluorescence Study of Pr Doped CdS Nanoparticles and its Applications in Sensors and Detectors.

Fluorescence spectra of Pr doped CdS nanoparticles, synthesized by chemical precipitation method, have been recorded at room temperature. The synthesized particles are nearly spherical shaped and the grain size is decreased with the increase in Pr concentration. The chemical identity of the nanoparticles was confirmed by EDAX spectrum, the absorption peaks was confirmed by FTIR spectrum and then the recorded values were compared with the CIE diagram.

Onychoscopy of Nail Lesions in Dermatological Disorders: A Cross-Sectional Observational Study.

Background: Nail disorders account for about 10% of all dermatological conditions. Onychoscopy is useful not only for their diagnosis but also for assessing severity/progression and monitoring the response to therapy.

Aims And Objectives: Describing dermoscopic features of nail disorders in patients reporting to the dermatology OPD of our tertiary care hospital and recording the sociodemographic profiles thereof.

Fluoride risk assessment from agricultural soils in India: a study based on vertical, spatial and geochemical distribution.

Fluoride (F) in agricultural soil is increasing continuously due to injudicious application of F-laden fertilizers, causing global concern about fluorosis disease. The objective of the study was to assess F risk in humans due to soil ingestion, dermal contact, and particulate inhalation during various agricultural activities. The study also emphasized chemical fractionation, distribution, and geochemical understanding of high F incidence.

A Cross-Sectional Study to Assess Sub-clinical Atherosclerosis in Patients of Psoriasis Independent of Metabolic Syndrome.

Background: A sustained inflammatory state of psoriasis causes comorbidities such as psoriatic arthritis, metabolic syndrome (MetS), and cardiovascular disease.

Aims: To note the duration and severity of psoriasis, assess prevalence of MetS, and correlate these with indicators of sub-clinical atherosclerosis.

Methodology: Thirty-two patients of chronic plaque psoriasis were enrolled in the study.

Quality-of-life of people with keloids and its correlation with clinical severity and demographic profiles.

Although the impairment of quality of life (QoL) in individuals with keloids is profound, it has neither been well quantified nor correlated with severity in people with skin of colour. This cross-sectional, questionnaire-based study comprised 110 patients with keloid(s). A physician measured the severity of keloids using the Vancouver Scar scale and impairment of QoL using the patient-filled Hindi version of Dermatology Life Quality Index questionnaire.

Identification of VEGFA-centric temporal hypoxia-responsive dynamic cardiopulmonary network biomarkers.

Aims: Hypoxia, a pathophysiological condition, is profound in several cardiopulmonary diseases (CPD). Every individual's lethality to a hypoxia state differs in terms of hypoxia exposure time, dosage units and dependent on the individual's genetic makeup. Most of the proposed markers for CPD were generally aim to distinguish disease samples from normal samples.

SARS-CoV-2 seroprevalence among the general population and healthcare workers in India, December 2020-January 2021.

Background: Earlier serosurveys in India revealed seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) of 0.73% in May-June 2020 and 7.1% in August-September 2020.