Partition dimension of COVID antiviral drug structures.

In November 2019, there was the first case of COVID-19 (Coronavirus) recorded, and up to 3$ ^{rd }$ of April 2020, 1,116,643 confirmed positive cases, and around 59,158 dying were recorded. Novel antiviral structures of the SARS-COV-2 virus is discussed in terms of the metric basis of their molecular graph. These structures are named arbidol, chloroquine, hydroxy-chloroquine, thalidomide, and theaflavin.

Effects of task-oriented training on dexterous movements of hands in post stroke patients.

The objective of the study was to determine the effect of task-oriented training on the dexterous movements of hands in Hemiplegic post-stroke patients. This study has been registered on site ClinicalTrial.gov with clinical trial number NCT05201196.

Breast Cancer Detection and Classification Empowered With Transfer Learning.

Cancer is a major public health issue in the modern world. Breast cancer is a type of cancer that starts in the breast and spreads to other parts of the body. One of the most common types of cancer that kill women is breast cancer.

Ameliorating Effect of Wallr on Obesity and Diabetes in Wistar Rats: A Mechanistic Study.

A high caloric food causes deposition of fats that may progress to obesity. Obesity is a risk factor for various metabolic and cardiovascular diseases, including but limited to diabetes mellitus. This study is aimed at determining the ameliorating effect of wallr aqueous-methanolic extract (MNME) on obesity and diabetes in Wistar rats.

Supervised Machine Learning Empowered Multifactorial Genetic Inheritance Disorder Prediction.

Fatal diseases like cancer, dementia, and diabetes are very dangerous. This leads to fear of death if these are not diagnosed at early stages. Computer science uses biomedical studies to diagnose cancer, dementia, and diabetes.

Investigation of Eutectic Mixtures of Fatty Acids as a Novel Construct for Temperature-Responsive Drug Delivery.

Background: Most of the traditional nanocarriers of cancer therapeutic moieties present dose-related toxicities due to the uptake of chemotherapeutic agents in normal body cells. The severe life-threatening effects of systemic chemotherapy are well documented. Doxorubicin, DOX is the most effective antineoplastic agent but with the least specific action that is responsible for severe cardiotoxicity and myelosuppression that necessitates careful monitoring while administering.

Resveratrol and neuroprotection: an insight into prospective therapeutic approaches against Alzheimer's disease from bench to bedside.

Alzheimer's disease (AD) is the most common cause of dementia and cognitive impairment; yet, there is currently no treatment. A buildup of Aβ, tau protein phosphorylation, oxidative stress, and inflammation in AD is pathogenic. The accumulation of amyloid-beta (Aβ) peptides in these neurocognitive areas is a significant characteristic of the disease.

Multifaceted role of natural sources for COVID-19 pandemic as marine drugs.

COVID-19, which is caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has quickly spread over the world, posing a global health concern. The ongoing epidemic has necessitated the development of novel drugs and potential therapies for patients infected with SARS-CoV-2. Advances in vaccination and medication development, no preventative vaccinations, or viable therapeutics against SARS-CoV-2 infection have been developed to date.

Therapeutic potential of dopamine agonists in the treatment of type 2 diabetes mellitus.

Diabetes is a global health concern that has affected almost 415 million people globally. Bromocriptine is a dopamine D2 agonist, which is a Food and Drug Administration (FDA)-approved drug to treat type 2 diabetes mellitus (T2DM) patients. However, it is considered that a novel treatment therapy is required which can be used in the treatment of diabetes with or without other antidiabetic agents.

Greening the workforce in higher educational institutions: The pursuance of environmental performance.

The research aims to examine the role of green human resource management (GHRM) in the university's environmental performance. Furthermore, this research also focuses on the mediating effect of green commitment and pro-environmental behavior. It also aims to check how green self-efficacy moderates the relationship between green commitment and pro-environmental behavior.

Frequency of language and swallowing problems in children with cerebral palsy at a tertiary care hospital Rawalpindi, Pakistan.

Objective: To investigate the occurrence of language and swallowing problem in individuals with cerebral palsy.

Methods: The cross-sectional survey was conducted at the Riphah International University, Rawalpindi, Pakistan, from September 2018 to January 2019 while data was collected from the Armed Forces Institute of Rehabilitation Medicine, Rawalpindi, a tertiary care hospital. The sample comprised individuals with cerebral palsy of either gender aged 5-18 years.

Evaluating the social outcomes of COVID-19 pandemic: empirical evidence from Pakistan.

The study aims to assess and analyze the social outcomes of the COVID-19 pandemic. The study uses the discourse of comprehensive literature review to identify the outcomes, Interpretive Structural Modeling (ISM) for developing a structural model and Matrices' Impacts Cruise's Multiplication Appliquée a UN Classement (MICMAC) for analysis, classification of societal outcomes, and corroboration of results of ISM. Data from fifteen experts was collected through a survey questionnaire.

An Intelligent Proposed Model for Task Offloading in Fog-Cloud Collaboration Using Logistics Regression.

Smart applications and intelligent systems are being developed that are self-reliant, adaptive, and knowledge-based in nature. Emergency and disaster management, aerospace, healthcare, IoT, and mobile applications, among them, revolutionize the world of computing. Applications with a large number of growing devices have transformed the current design of centralized cloud impractical.

Novel therapeutic techniques for post stroke aphasia: A narrative review.

Aphasia, an acquired language disorder, commonly results from a stroke affecting network of cortical and subcortical structures. Aphasia lacks effective standardised treatment. Neuroimaging and behavioural research indicate that some interventions promote neuroplasticity changes in aphasia.

Complex pythagorean fuzzy aggregation operators based on confidence levels and their applications.

The most important influence of this assessment is to analyze some new operational laws based on confidential levels (CLs) for complex Pythagorean fuzzy (CPF) settings. Moreover, to demonstrate the closeness between finite numbers of alternatives, the conception of confidence CPF weighted averaging (CCPFWA), confidence CPF ordered weighted averaging (CCPFOWA), confidence CPF weighted geometric (CCPFWG), and confidence CPF ordered weighted geometric (CCPFOWG) operators are invented. Several significant features of the invented works are also diagnosed.

A review on two-dimensional (2D) perovskite material-based solar cells to enhance the power conversion efficiency.

With perovskite materials, rapid progress in power conversion efficiency (PCE) to reach 25% has gained a significant amount of attention from the solar cell industry. Since the development of solid-state perovskite solar cells, rapid research development and investigation on structure design, device fabrication and fundamental studies have contributed to solid-state perovskite solar cells to be a strong candidate for next-generation solar energy. The promising efficiency with low-cost materials is the key point over the other material-based solar cells.

An IoMT-Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique.

The Internet of Medical Things (IoMT) enables digital devices to gather, infer, and broadcast health data via the cloud platform. The phenomenal growth of the IoMT is fueled by many factors, including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based technology. The cost of related healthcare will rise as the global population of elderly people grows in parallel with an overall life expectancy that demands affordable healthcare services, solutions, and developments.

Fresh insight through the VAR approach to investigate the effects of fiscal policy on environmental pollution in Pakistan.

This study explores the impact of fiscal policy on environmental pollution, employing the vector autoregressive (VAR) model on annual data from 1976 to 2018 in Pakistan. We estimate the effect of total expenditure, total revenue, education expenditures, health expenditures, and other dynamic determinants such as gross domestic product (GDP), private investment, market rate, and crude oil price on carbon dioxide (CO) emissions in particular. Further, this study creates impulse response functions to check the fiscal shocks, coordinating with five scenarios of public expenditures, segregated into government revenue, and education and health expenditures.

Molecular Mechanisms Responsible for In Vitro Cytotoxic Attributes of Conyza bonariensis Extract against Lymphoblastic Leukaemia Jurkat Cells.

Background: Conyza bonariensis is known to have anti-cancer properties.

Objective: The current study investigated the in vitro pro-apoptotic properties of Conyza bonariensis (C. bonariensis) towards human lymphoblastic leukemia Jurkat cells.

Health promoting benefits of pongamol: An overview.

Plant-derived chemicals are a source of novel chemotherapeutic agents. Throughout the human civilization, these novel chemicals have led to the discovery of new pharmacological active agents. Research on herbal medicine is of great importance, as most of the active agents used for treating numerous diseases are from natural sources, while other agents are either semisynthetic or synthetic.

Diagnostic tests to assess balance in patients with spinal cord injury: a systematic review of their validity and reliability.

Background: Sophisticated biomechanical instruments can assess balance in patients with spinal cord injury (SCI) with accuracy and precision; however, they are costly and time consuming to use. Clinical diagnostic tests to assess balance in patients with SCI are less costly and easier to use, but there is limited literature available regarding their reliability and validity.

Objectives: To review systematically articles reporting the validity and reliability of diagnostic tests used to assess balance function in patients with SCI.

Pharmacological Screening of L for Memory-Enhancing Effect Modulation of Oxidative Stress and Inflammatory Biomarkers.

Alzheimer disease (AD) is a progressive neurodegenerative disorder that is caused by neuroinflammation and oxidative stress. The present study aimed to characterize and then investigate the memory-enhancing potential of methanolic extract in lipopolysaccharide (LPS)-treated mice. characterization was done by using the GCMS technique.

Appraisal of anti-Parkinson activity of rhinacanthin-C in haloperidol-induced parkinsonism in mice: A mechanistic approach.

This study aimed to appraise the anti-Parkinson's potential of rhinacanthin-C (RC). RC (5, 10, and 20 mg/kg) was orally administered for 25 days in albino mice to treat haloperidol-induced parkinsonism (1 mg/kg). RC significantly (p < .