Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.

Informal education via social media plays a crucial role in modern learning, offering self-directed and community-driven opportunities to gain knowledge, skills, and attitudes beyond traditional educational settings. These platforms provide access to a broad range of learning materials, such as tutorials, blogs, forums, and interactive content, making education more accessible and tailored to individual interests and needs. However, challenges like information overload and the spread of misinformation highlight the importance of digital literacy in ensuring users can critically evaluate the credibility of information.

Highly selective and reusable nanoadsorbent based on FeO-embedded sodium alginate-based hydrogel for cationic dye adsorption: Adsorption interpretation using multiscale modeling.

This study aims to develop a stable and efficient magnetic nanocomposite hydrogel (MNCH) for selective removal of methylene blue (MB) and crystal violet (CV). MNCHs with different FeO contents (0-9 wt%) were synthesized following graft co-polymerization method using sodium alginate, acrylamide, itaconic acid, ammonium persulfate and N,N-methylene bisacrylamide. Among them, MNCH, with 5 wt% FeO, showed highest removal efficiency (>95 %).

Opposing lineage specifiers induce a pro-tumor hybrid-identity state in lung adenocarcinoma.

The ability of cancer cells to alter their identity, known as lineage plasticity, is crucial for tumor progression and therapy resistance. In lung adenocarcinoma (LUAD), tumor progression is characterized by a gradual loss of lineage fidelity and the emergence of non-pulmonary identity programs. This can lead to hybrid-identity (hybrid-ID) states in which developmentally incompatible identity programs are co-activated within individual cells.

Description of two new species of Haliplectus Cobb, 1913 (Nematoda, Plectida, Haliplectidae) from mangrove areas of Sandspit backwater, Karachi, Pakistan.

Haliplectus shahinae n. sp. and H.

Consensus guidelines for the management of primary supra-tentorial intraventricular tumour for low- and middle-income countries.

Almost any primary or metastatic brain tumour can manifest in intraventricular (IV) locations. These tumours may either originate within the ventricular system or extend into the IV space through growth. Such neoplasms represent a broad spectrum, with supratentorial IV tumours forming a heterogeneous group.

Consensus guidelines for the management of intracranial meningioma for low- and middle-income countries.

Intra-cranial meningiomas represent the most common type of extra-axial brain tumour in adults. Characteristically slow-growing and often asymptomatic, these tumours may only require observation in some cases. However, lesions that cause a significant mass effect necessitate intervention, primarily through surgical means.

Developing neuro-oncology clinical trials in low- and middle-income countries: a scoping review of the current literature.

Low- and middle-income countries (LMICs) have historically been under-represented in clinical trials, leading to a disparity in evidence-based recommendations for the management of neurooncological conditions. To address this knowledge gap, we conducted a scoping review to assess the current literature on clinical trials in neuro-oncology from LMICs. The eligibility criteria for inclusion in this review included clinical trials registered and conducted with human subjects, with available English language text or translation, and focussed on neuro-oncological cases.

Deep learning artificial neural network framework to optimize the adsorption capacity of 3-nitrophenol using carbonaceous material obtained from biomass waste.

The presence of toxic chemicals in water, including heavy metals like mercury and lead, organic pollutants such as pesticides, and industrial chemicals from runoff and discharges, poses critical public health and environmental risks leading to severe health issues and ecosystem damage; education plays a crucial role in mitigating these effects by enhancing awareness, promoting sustainable practices, and integrating environmental science into curricula to empower individuals to address and advocate for effective solutions to water pollution. However, the educational transformation should be accompanied with a technical process which can be eventually transferred to society to empower environmental education. In this study, carbonaceous material derived from Haematoxylum campechianum (CM-HC) was utilized for removing 3-nitrophenol (3-Nph) from aqueous solutions.

Survey data to unveil the power of political crowdsourcing on social media.

This paper describes a dataset collected from a survey carried out in the United Kingdom, Malaysia, and Pakistan, to understand the variables that impact political trust. The data was collected from September to November 2021 via an online survey on Google Forms, and 472 valid responses were obtained. Drawing on relevant literature, the survey instrument was designed to cover the respondents' opinions concerning partisanship, social media utilization, online social capital, voluntary online and offline political participation, and political trust.

IMPACT OF BURNS ON ANXIETY, DEPRESSION AND SELFESTEEM AMONG PATIENTS WITH BURN INJURIES: A CROSS-SECTIONAL STUDY.

Burns are a major public health issue. Psychiatric issues require special attention. According to research, lowering stigma and anxiety and raising self-esteem are efficient ways to encourage the social reintegration of burn patients.

Predicting response to chemotherapy in brain tumor patients based on MRI features.

Chemotherapy in brain tumors is tailored based on tumor type, grade, and molecular markers, which are crucial for predicting responses and survival outcomes. This review summarizes the role of chemotherapy in gliomas, glioneuronal and neuronal tumors, ependymomas, choroid plexus tumors, medulloblastomas, and meningiomas, discussing standard treatment protocols and recent developments in targeted therapies.Furthermore, the studies reporting the integration of MRI-based radiomics and deep learning models for predicting treatment outcomes are reviewed.

Complex artificial intelligence models for energy sustainability in educational buildings.

Energy consumption of constructed educational facilities significantly impacts economic, social and environment sustainable development. It contributes to approximately 37% of the carbon dioxide emissions associated with energy use and procedures. This paper aims to introduce a study that investigates several artificial intelligence-based models to predict the energy consumption of the most important educational buildings; schools.

Effectiveness of Bile Acid Sequestrants in Microscopic Colitis and Utility of Bile Acid Testing: A Systematic Review and Meta-analysis.

Introduction: Bile acid sequestrants (BAS) are an option for microscopic colitis (MC) refractory or intolerant to budesonide. There are inconsistent data on the prevalence of bile acid malabsorption (BAM) and utility of bile acid testing in MC. The aim of this systematic review and meta-analysis was to evaluate these outcomes.

Sorption Behavior of Azo Dye Congo Red onto Activated Biochar from Waste: Gradient Boosting Machine Learning-Assisted Bayesian Optimization for Improved Adsorption Process.

This work aimed to describe the adsorption behavior of Congo red (CR) onto activated biochar material prepared from waste (). The carbon precursor was soaked with phosphoric acid, followed by pyrolysis to convert the precursor into activated biochar. The surface morphology of the adsorbent (before and after dye adsorption) was characterized by scanning electron microscopy (SEM/EDS), BET method, X-ray powder diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR) and, lastly, pH was also determined.

An Exploration of Student Perception Toward Interprofessional High-Fidelity Clinical Simulation.

Objectives: Interprofessional education is recognized for its potential for collaboration and teamwork, reflecting clinical practice; however, existing literature for simulation-based interprofessional education does not include Physician Associate (PA) students. This initiative aimed to explore the students' perception of interprofessional clinical simulation for PA students and allied health professional (AHP) students as part of our program development.

Methods: A high-fidelity simulation session was designed and conducted for volunteering students from the PA, paramedic science, and physiotherapy courses.

Machine Learning-Based Prediction Models for Clostridioides difficile Infection: A Systematic Review.

Introduction: Despite research efforts, predicting Clostridioides difficile incidence and its outcomes remains challenging. The aim of this systematic review was to evaluate the performance of machine learning (ML) models in predicting C. difficile infection (CDI) incidence and complications using clinical data from electronic health records.

Real-World Challenges of Managing Diffuse Large B-Cell Lymphoma in a Developing Country.

Purpose: To highlight challenges and cancer care disparities in patients of diffuse large B-cell lymphoma management in resource-constrained settings.

Materials And Methods: This multicenter retrospective study included 738 patients from 12 public and private sector hematology-oncology centers across Pakistan. Patients were divided into limited-resource and enhanced-resource settings as per national diffuse large B-cell lymphoma (DLBCL) guidelines.

A multiplex DNA probe-based method for simultaneous identification of adulteration in meat samples.

Meat adulteration and admixing are prevalent malpractices observed in processed and raw meat samples, where the consumption of adulterated meat has been associated with food allergies, financial losses, and consumer distrust. Meat authentication is pivotal to address these concerns. The meat authenticity can be determined through genetic, protein, and immunological markers and advanced detection methods.

Intraoperative mapping and preservation of executive functions in awake craniotomy: a systematic review.

Awake craniotomy (AC) allows intraoperative brain mapping (ioBM) for maximum lesion resection while monitoring and preserving neurological function. Conventionally, language, visuospatial assessment, and motor functions are mapped, while the assessment of executive functions (EF) is uncommon. Impaired EF may lead to occupational, personal, and social limitations, thus, a compromised quality of life.

Feasibility of awake craniotomy for brain arteriovenous malformations: A scoping review.

Background: Brain Arteriovenous Malformations (AVMs) located in proximity to eloquent brain regions are associated with poor surgical outcomes, which may be due to higher rates of postoperative neurological deterioration. Current treatment protocols include stereotactic radiosurgery, transarterial embolization, and surgical resection under general anesthesia. Awake Craniotomy (AC) allows intraoperative mapping of eloquent areas to improve post-operative neurologic outcomes.