Prediction and Analysis of Autism Spectrum Disorder Using Machine Learning Techniques.

Autism spectrum disorder is a severe, life-prolonged neurodevelopmental disease typified by disabilities that are chronic or limited in the development of socio-communication skills, thinking abilities, activities, and behavior. In children aged two to three years, the symptoms of autism are more evident and easier to recognize. The major part of the existing literature on autism spectrum disorder is covered by a prediction system based on traditional machine learning algorithms such as support vector machine, random forest, multiple layer perceptron, naive Bayes, convolution neural network, and deep neural network.

Predictive analytics in smart healthcare for child mortality prediction using a machine learning approach.

In developing countries, child health and restraining under-five child mortality are one of the fundamental concerns. UNICEF adopted sustainable development goal 3 (SDG3) to reduce the under-five child mortality rate globally to 25 deaths per 1,000 live births. The under-five mortality rate is 69 deaths per 1,000 live child-births in Pakistan as reported by the Demographic and Health Survey (2018).

Utilization of wild Cressa cretica biomass for pectinase production from a halo-thermotolerant bacterium.

Halophytes are the native inhabitants of saline environment. Their biomass can be considered as a potential substrate for the production of microbial enzymes. This study was intended at feasible utilization of a halophytic biomass, Cressia cretica, for pectinase production using a halo- and thermo-tolerant bacterium, Bacillus vallismortis MH 10.

Colloidal gold based immunochromatographic detection of Mycoplasmopsis synoviae infection and its prevalence in avian species of Karachi, Pakistan.

Avian mycoplasmosis is an infection that commonly prevails in birds, particularly in poultry chickens. Among mycoplasmosis causing organisms, Mycoplasmopsis synoviae is a predominant and lethal pathogen to the aves. Considering the increased incidence of infections by M.

Brand Love: Role of Online Customer Experience, Value Co-creation, and Relationship Quality.

Customer experience is a source of retailers' long-term competitive advantage. This study has examined the relationship between online customer experience and brand love through the mechanism of relationship quality in the context of online shopping in Pakistan. The moderating effect of value co-creation on the relationship of online customer experience with relationship quality and brand love has also been examined.

Human capital-based four-factor asset pricing model: An empirical study from Pakistan.

This study aims to extend the Fama-French three-factor model by including human capital as a fourth factor. For this purpose, we have collected data from 164 non-financial firms from July 2010 to June 2020. To evaluate the validity and applicability of our augmented human capital-based four-factor model, we apply the two-pass time series regression proposed by Fama-Macbeth (1973).

Identification of IL-2 inducible tyrosine kinase inhibitors by quantum mechanics and ligand based virtual screening approaches.

Interleukin-2-inducible T-cell kinase (ITK) is a crucial intracellular signaling mediator in normal and malignant T-cells and natural killer cells. Selective inhibition of ITK might be useful for treating a variety of disorders including; autoimmune, inflammatory, and neoplastic disorders. Over the past two decades, the clinical management of ITK inhibitors has progressed dramatically.

BFT-IoMT: A Blockchain-Based Trust Mechanism to Mitigate Sybil Attack Using Fuzzy Logic in the Internet of Medical Things.

Numerous sensitive applications, such as healthcare and medical services, need reliable transmission as a prerequisite for the success of the new age of communications technology. Unfortunately, these systems are highly vulnerable to attacks like Sybil, where many false nodes are created and spread with deceitful intentions. Therefore, these false nodes must be instantly identified and isolated from the network due to security concerns and the sensitivity of data utilized in healthcare applications.

Unveiling the genomic potential of a novel thermostable glycoside hydrolases producing Neobacillus sedimentimangrovi UE25.

Genetic and enzymatic potential of Neobacillus sedimentimangrovi has not been assembled to date. Here, we report a high-quality genome assembly of thermophilic bacterium Neobacillus sedimentimangrovi UE25 using Illumina Hi-seq 2500. The strain was isolated from a crocodile pond Manghopir, Karachi, Pakistan.

Detection of Genes Encoding Microbial Surface Component Recognizing Adhesive Matrix Molecules in Methicillin-Resistant Isolated from Pyoderma Patients.

Pyoderma is a common skin infection predominantly caused by In addition to methicillin resistance, this pathogen is resistant to many other antibiotics, which ultimately limits the available treatment options. Therefore, the present study aimed to compare the antibiotic-resistance pattern, to detect the gene and the genes encoding microbial surface component recognizing adhesive matrix molecules (MSCRAMMs) in isolates. A total of 116 strains were isolated from patients suffering with pyoderma.

Interdisciplinary challenges in the circular supply chains: A systematic literature review.

As the circular supply chain (CSC) gains traction in literature and practice, some academic groups are developing new fields that proceed from the CSC as a precisely technical concept. In order to examine the trends of CSC over time, to define how previous researchers have conceptualized the CSC ideology, and to identify the barriers to CSC adoption in businesses operations. This systematic review of the literature (n = 55) examines and discusses the disparate body of knowledge on supply chains (SCs).

Beyond heroism: a qualitative study on the lived experiences of nurses caring for patients with COVID-19 in Pakistan.

Background: Healthcare professionals around the globe suffered severely during the COVID-19 pandemic. The present study aims to explore the lived experiences of nurses caring for COVID-19 patients in Pakistan.

Methods: The study is a qualitative exploration of the lived experiences caring for patients with COVID-19 in Pakistan.

Religious coping, care burden and psychological distress among informal caregivers of COVID-19 patients: Results of a cross-sectional survey in Pakistan.

Background: There is a complex relationship between health and religiosity. People may use religion to cope with difficulties and uncertainties in their life - such as induced by the COVID-19 pandemic.

Aims: The purpose of this study is to investigate the relationship between religious coping, care burden and psychological distress among caregivers during COVID-19 in Pakistan.

Is a correlation-based investment strategy beneficial for long-term international portfolio investors?

Unlabelled: Using negative to low-correlated assets to manage short-term portfolio risk is not uncommon among investors, although the long-term benefits of this strategy remain unclear. This study examines the long-term benefits of the correlation strategy for portfolios based on the stock market in Asia, Central and Eastern Europe, the Middle East and North Africa, and Latin America from 2000 to 2016. Our strategy is as follows.

Synthesis of methylcellulose-polyvinyl alcohol composite, biopolymer film and thermostable enzymes from sugarcane bagasse.

Agro-industrial wastes and by-products are the natural and abundant resources of biomaterials to obtain various value-added items such as biopolymer films, bio-composites and enzymes. This study presents a way to fractionate and to convert an agro-industrial residue, sugarcane bagasse (SB), into useful materials with potential applications. Initially cellulose was extracted from SB which was then converted into methylcellulose.

Serum MicroRNAs as Predictors for HCV Progression and Response to Treatment in Pakistani Patients.

Hepatitis is one of the common liver diseases, imposing a heavy health burden worldwide. Acute hepatitis may develop into chronic hepatitis, progressing to cirrhosis and hepatocellular carcinoma. In the present study, the expression of miRNAs was quantified by real-time PCR, such as miRNA-182, 122, 21, 150, 199, and 222.

Utilization of Corncob as an Immobilization Matrix for a Xylanolytic Yeast Strain.

Immobilization of microbial cells for the production of industrially important enzymes has been reported to offer the advantages of recyclability, higher yields and cost effectiveness. The search for an appropriate matrix that is affordable and easy to prepare is a significant topic in microbial biotechnology. Here, an abundant type of agro-industrial waste-corncob-was utilized as an immobilization matrix for the production of xylanase from an indigenous yeast strain, MK-157.

Analysis of differential gene expression of pro-inflammatory cytokines in the nasopharyngeal milieu of mild & severe COVID-19 cases.

Introduction: A subset of individuals with COVID-19 can suffer from a severe form of the disease requiring breathing support for respiratory failure and even death due to disease complications. COVID-19 disease severity can be attributed to numerous factors, where several studies have associated changes in the expression of serum pro-inflammatory cytokines with disease severity. However, very few studies have associated the changes in expression of pro-inflammatory changes in the nasopharyngeal milieu with disease severity.

Depression Detection Based on Hybrid Deep Learning SSCL Framework Using Self-Attention Mechanism: An Application to Social Networking Data.

In today's world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases. In the proliferation of such issues, social media has proven to be a great platform for people to express themselves.

Molecular Characterization, Purification, and Mode of Action of KAE01 from Lactic Acid Bacteria and Its In Silico Analysis against MDR/ESBL .

Bacteriocins are gaining immense importance in therapeutics since they show significant antibacterial potential. This study reports the bacteriocin KAE01 from along with its characterization, molecular modeling, and antibacterial potency, by targeting the matrix protein of . The bacteriocin was purified by using ammonium sulfate precipitation and fast protein liquid chromatography (FPLC), and its molecular weight was estimated as 55 kDa by means of SDS-PAGE.

Malware Detection in Internet of Things (IoT) Devices Using Deep Learning.

Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, malware detection becomes an important issue in IoT devices. An effective, reliable, and time-efficient mechanism is required for the identification of sophisticated malware.

ACE2 Receptor Polymorphism and its Correlation with Anti-SARS-CoV-2 IgM Antibodies - A Case-Control Study.

Background: The SARS-CoV-2 pandemic originated in Wuhan, China in December 2019 and spread rapidly worldwide. The virus gets entry into target cells via angiotensin-converting enzyme 2 (ACE2) receptors and its gene is highly polymorphic.

Introduction: The variations in SARS-CoV-2 susceptibility and severity can be explained on a genetic level by studying the polymorphism in ACE2 receptor polymorphism.

Patterns of musculoskeletal disorders in health care providers and their association with ergonomic risks.

Musculoskeletal disorders (MSDs) have a high prevalence among allied health care providers because of the demanding nature of their work and lack of practicing proper ergonomics. The aim of this study focused on patterns of work-related musculoskeletal disorders (WMSDs) affecting different health care providers working in a different unit of a tertiary care hospital. This cross-sectional study collected data from 2000 allied health care providers working at various departments of Civil Hospital and Dow University Hospital of Karachi (DUHS), via self-administered questionnaire, based on Occupational Safety and Health Administration (OSHA) guidelines.