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This research examines a variety of restrictions preventing Bangladeshi youth, particularly Generation Z university students, from becoming involved in entrepreneurship. Moreover, the study examines the influence of Entrepreneurial Attitude (EA), Subjective Entrepreneurial Norms (SEN), Entrepreneurial Perceived Behavioural Control (EPBC), and Entrepreneurial Resilience (ER) on Entrepreneurial Intention (EI) of Bangladeshi Gen Z university students. A systematic literature review methodology following PRISMA procedure was performed to identify the relevant articles. A quantitative method with a positivism philosophy, cross-sectional time horizon and deductive approach was applied to the study. The data of 206 university students from the BBA department of ten universities were collected using convenience sampling and a self-administrated structured questionnaire survey. SPSS 26.0 and Smart PLS 3.0 were used to analyse the data. The output shows a positive and significant association amongst EA, SEN, EPBC, ER, and EI. Various constraints were identified from the literature and ranked based on the respondents' feedback. This research will help entrepreneurs, scholars, policymakers and practitioners to build the entrepreneurial ecosystem and develop young people's understanding of the entrepreneurial decision process and the importance of ER. This paper contributes through empirical investigation to an understanding of the actions that prevent Gen Z students from entrepreneurial activities; decisions are affected by socio-psychological constructions integrating ER with the Theory of Planned behaviour (TPB) model. Triple, Quadruple and Quintuple Helix models are considered supporting theories in this study to shed light on tackling the constraints. To the best knowledge of the researcher, integrating ER with TPB model's constructs is a pioneer scholarly contribution in the context of South-East Asian, specifically Bangladeshi Gen Z students., Competing Interests: Competing interestsI (Mosab I. Tabash), acting as corresponding author hereby declare on the behalf of my co-authors that we have no conflict of interest., (© The Author(s) 2023.)

Fetching useful information from big medical datasets is a complicated task in the big data age. Various classification algorithms are used in the data mining process to analyze information from the big medical dataset. Nevertheless, these classification algorithms are insufficient to handle big medical data. This work proposes an efficient, ensemble-based classification framework for big medical data to deal with this problem. The proposed work involves initially applying the preprocessing technique to remove noise, missing values, and unwanted features from big medical data. The process selects a subset of classifiers from a pool of classifiers. The selected classifiers are combined to form a hybrid system for efficient classification. The methodology further involves incremental learning from data samples, explaining the predicted outputs, and achieving high classification performance. Java is used for simulation, and the Cleveland Heart Disease big dataset and Diabetes big dataset are used for classification. The experimental result shows that the proposed ensemble algorithm provides an efficient classification compared with existing algorithms based on accuracy, precision, F-measure, recall, and execution time.

Purpose: To investigate the stress-strain behaviour of 9 soft contact lens materials, that are commonly used in the market, under uniaxial compression loading., Methods: Seven types of hydrogel and two types of silicone-hydrogel soft contact lens materials were hydrated in phosphate-buffered saline (PBS) solution then subjected to uniaxial compression loads. The load rate was set to 16.0 N/min starting with two consecutive initial 5.0 N loading cycles followed by three relaxation periods of 4.0 min within which there were two more 5.0 N loading cycles and eventually, a full loading cycle that stopped at a load of 49.0 N. The load and contraction data obtained experimentally were analysed to derive the stress-strain behaviour. Finite Element (FE) analysis was then utilised to evaluate the performance of soft contact lenses on the human eye and handling lenses off the eye., Results: Unlike tensile tests, all tested materials showed nonlinear behaviour when tested under compression. When fitted to first-order Ogden hyperelastic model, parameter μ was found to be varying in the range 0.12 to 0.74 MPa and material parameter α was found to be varying in the range 8.2 to 20.326 among the nine tested materials. Compression modulus of elasticity was 2.2 times higher than the tensile modulus of elasticity on average. FE simulation with nonlinear Ogden constitutive model showed a limited change (8%~12%) in the optical performance when compared to other material models, however, it predicted higher stress when the lens was simulated under bending during off-eye handling., Conclusions: Compression tests revealed slightly nonlinear behaviour when materials were strained under compression stress down to 15% ~ 30% of their nominal heights. Considering the physiological compression loading range of 8 mmHg, secant moduli of elasticity were 1.5% to 6.9% higher than the tension moduli of elasticity depending on the material. Tensile-based moduli of elasticity could be used in FE analysis as a step towards simulating the optical performance of soft contact lenses on-eye. However, nonlinear compression-based material models are recommended for FE analysis of soft contact lenses when lens-handling is investigated off-eye., Competing Interests: The authors have read the journal’s policy and have the following competing interests: LW is a paid employee of Ultravision CLPL, which also provided raw materials for this study. This does not alter our adherence to PLOS ONE policies on sharing data and materials. There are no patents, products in development or marketed products associated with this research to declare.

Background: Hyperlipidemia or dyslipidemia has been a concern for a long time, with various guidelines emphasizing the importance of managing the lipid profile to prevent cardiac incidences. Although statins have been found to be highly effective, resistance and intolerability to side effects will continue to be a stumbling block for certain patients. Proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors tackle lipid profile via a novel mechanism and therefore provide an additional effective option for managing lipid profile. The overarching aim of this systematic review was to evaluate the efficacy of evolocumab among various populations with hypercholesterolemia., Methods: A comprehensive search was conducted in ProQuest Health & Medical Complete, Google Scholar, ScienceDirect, and PubMed to identify potential records; then titles, abstracts, and full texts were screened using the inclusion criteria to filter out irrelevant studies. Data extraction and quality assessment were undertaken using standardized tools and the results were narratively synthesized and presented in tables., Results: Eight studies were included in this systematic review after screening 1191 records. All studies demonstrated a statistically significant reduction in low-density lipoprotein cholesterol (LDL-C) values in the groups that received evolocumab compared with the comparator groups ( p < 0.05). The decline in LDL-C levels from baseline in the majority of studies ranged from 40% to 80%, whether used alone or in combination with other agents. Also, high-density lipoprotein cholesterol, lipoprotein (a) and apolipoprotein B were improved with the use of evolocumab., Conclusions: This study helped to collate evidence from studies that tested the effectiveness of evolocumab in the management of hyperlipidemia. Evolocumab seems to be highly effective in reducing LDL-C and other lipid parameters. Hence, it provides an excellent alternative for patients with refractory disease or patients who develop intolerable side effects, therefore helping to overcome the stumbling block to achieving optimal lipid management.

The scaffold of this commentary is oriented to gravitate toward shedding light on the misconception regarding the use of enteric-coated, extended-release or sustained-release forms of nonsteroidal anti-inflammatory drugs (NSAIDs) and the reduction in gastrointestinal (GI) risks. Although evidence is sufficiently available with regard to the inability of these forms to ameliorate GI risks, it has been widely neglected by health care professionals. This dilemma will be approached and elaborated by uncovering historical evidence about the topic of interest followed by theoretical pharmacological explanations.