Entrepreneurial intentions among University’s students in Malaysia

The issue of employability is rising year by year, and Malaysia is also taking it as a serious challenge. The Malaysian government has carried out various initiatives to address the issue of employability; conversely, one of them was successfully promoting the development of entrepreneurship by increasing entrepreneurial courses for instance. The intention was to increase the entrepreneurial intentions amongst university's students to create job opportunities for themselves which could lead to a boost for a developing nation's economy as well. However, the government's initiatives did not succeed as they were expected. The main reason for it ending as a flopped plan was due to failing to identify an individual's intentions. Therefore, the primary purpose of this research is to inspect the Malaysian universities student's intention of being an entrepreneur because, without intention, they might not even consider the option of initiating their own business. This research adapted and integrated the two most common models of examining the entrepreneurial intention, i.e, Theory of Planned Behaviour ('TPB') by Ajzen and Shapero and Sokol's model of an Entrepreneurial Event ('SEE'). This is a quantitative study and a total of 160 students from different Malaysian universities were surveyed using non-probability sampling techniques and by a well-established instrument with the standardized questionnaire, to examine hypothesized relationships. SPSS was used for analyzing the demographic profile and SMART-PLS was utilized for testing the developed hypotheses. The results show that attitude, subjective norms, and perceived behavioural control positively affect the perceived desirability as well as perceived feasibility. Moreover, perceived desirability and perceived feasibility are also positively associated with an entrepreneurial intention. Furthermore, perceived desirability is found as a mediator for the relationship among predictors of entrepreneurial intention but perceived feasibility fails to mediate the association of subjective norm and entrepreneurial intention. By understanding the background of university student's intentions towards entrepreneurship, the Malaysian government and organizations can better present themselves in formulating better initiatives to stimulate and encourage youth to have entrepreneurial intentions in order to initiate their own business. This study also offers some useful managerial implications using the advanced technique of IPM to enhance the H1 H2 H3 H6 H5 H4 H7 H8 performance of critical factors that contribute towards entrepreneurial intentions

Total Antioxidant Activity, and Hesperidin, Diosmin, Eriocitrin and Quercetin Contents of Various Lemon Juices

Purpose: To investigate 38 natural and 62 branded lemon juices for their total antioxidant activities and flavonoid content.Methods: The ferric reducing antioxidant power was applied to evaluation of antioxidant. Additionally quercetin, eriocitrin, diosmin and hesperidin contents were evaluated by high performance liquid chromatography (HPLC).Results: Total antioxidant activity of the juices ranged from 91.38 ± 0.01 to 526.93 ± 0.12 μg/ml. The maximum contents of quercetin, hesperidin and eriocitrin 14.83 ± 2.83, 104.84 ± 12.58 and 10.68 ± 2.41 μg/mL, respectively. The natural juices had diosmin levels as high as 236.18 mL. The limit of detection (LOD) ranged from 0.15 μg mg-1 for hesperidine to 0.53 μg ml-1 for diosmin while the limit of quantification (LOQ) ranged from 0.27 μg mg-1 for hesperidine to 0.93 μg ml-1 for quercetin.Conclusion: The developed method can also be applied to the determination of related extracts of orange cultivars as well as various extracts of medicinal plants.Keywords: Antioxidant, Flavonoid, Hesperidin, Diosmin, Eriocitrin, Quercetin, Lemon juic

A prospective observational study on understanding of idiopathic generalized epilepsies namely juvenile myoclonic epilepsy and epilepsy with generalized tonic-clonic seizure alone by electroencephalogram with updated terminology in a tertiary care hospital

Background: In 2017, the international league against epilepsy (ILAE) classification of epilepsies described the “genetic generalized epilepsies”, which contained the “idiopathic generalized epilepsies”. This study delineates the four syndromes comprising the IGEs: childhood absence epilepsy, juvenile absence epilepsy, juvenile myoclonic epilepsy (JME), and epilepsy with generalized tonic-clonic seizures alone (GTCA). JME patients usually present with myoclonic seizures, and GTCA patients present with GTCS only after awakening from sleep. Aim of the study was to identify the differences between juvenile myoclonic epilepsy and epilepsy with generalized tonic-clonic seizures alone by semiology and EEG with updated terminology under the observation of the clinicians.Methods: This was a prospective observational study and was conducted in the epilepsy clinic, department of neurology, Bangabandhu Sheikh Mujib medical university, from February 2021 to July 2022. The sample size was 60. Results: Among 60 patients, family history was present in 12 (20%) and 6 (10%) JME and GTCA patients, respectively. In this study, the EEG finding of generalized spike-wave (2.5-5.5 Hz) was seen in 26 (43%) and 19 (32%) among JME and GTCA patients, respectively. Generalized Polyspike wave (2.5-5.5 Hz) was seen in 26 (43%) JME patients, and EEG was normal in 15 out of 60 patients of epilepsy. In EEG findings, 2.5-5.5 Hz generalized spike-wave should be diagnosed in JME and GTCA patients as a special group of IGEs. Conclusions: In this study, we have recognized and differentiated between juvenile myoclonic epilepsy and generalized tonic-clonic seizures alone by semiology and EEG in IGE syndromes as a special grouping among the IGEs is helpful as they carry prognostic and therapeutic implications

Augmented Reality-Based English Language Learning: Importance And State Of The Art

Augmented reality is increasingly used in the educational domain. However, little is known concerning the actual importance of AR for learning English skills. The weakness of the English language among English as a foreign Language (EFL) students is widespread in different educational institutions. Accordingly, this paper aims at exploring the importance of AR for learning English skills from the perspectives of English language teachers and educators. Mixed qualitative methods were used. To achieve the objective of this study, 12 interviews were conducted with English teachers concerning the topic under investigation. Second, a systematic literature review (SLR) that demonstrates the advantages, the limitation, and the approach of AR for learning English was performed. This study is different from other studies in using two methods and conducting comprehensive research on the importance of AR in improving English language skills in general. Thus, the study concluded that AR improves language skills and academic achievements. It also reduces students\u27 anxiety levels, improves students\u27 creativity, and increases students\u27 collaboration and engagement. Moreover, the students have positive attitudes towards using AR for learning the English language. The findings present important implications for the integration and development of AR for learning

FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection.

False news articles pose a serious challenge in today\u27s information landscape, impacting public opinion and decision-making. Efforts to counter this issue have led to research in deep learning and machine learning methods. However, a gap exists in effectively using contextual cues and skip connections within models, limiting the development of comprehensive detection systems that harness contextual information and vital data propagation. Thus, we propose a model of deep learning, FakeStack, in order to identify bogus news accurately. The model combines the power of pre-trained Bidirectional Encoder Representation of Transformers (BERT) embeddings with a deep Convolutional Neural Network (CNN) having skip convolution block and Long Short-Term Memory (LSTM). The model has been trained and tested on English fake news dataset, and various performance metrics were employed to assess its effectiveness. The results showcase the exceptional performance of FakeStack, achieving an accuracy of 99.74%, precision of 99.67%, recall of 99.80%, and F1-score of 99.74%. Our model\u27s performance was extended to two additional datasets. For the LIAR dataset, our accuracy reached 75.58%, while the WELFake dataset showcased an impressive accuracy of 98.25%. Comparative analysis with other baseline models, including CNN, BERT-CNN, and BERT-LSTM, further highlights the superiority of FakeStack, surpassing all models evaluated. This study underscores the potential of advanced techniques in combating the spread of false news and ensuring the dissemination of reliable information

Household-level risk factors for secondary influenza-like illness in a rural area of Bangladesh

This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.Objective To describe household‐level risk factors for secondary influenza‐like illness (ILI), an important public health concern in the low‐income population of Bangladesh. Methods Secondary analysis of control participants in a randomised controlled trial evaluating the effect of handwashing to prevent household ILI transmission. We recruited index‐case patients with ILI – fever (<5 years); fever, cough or sore throat (≥5 years) – from health facilities, collected information on household factors and conducted syndromic surveillance among household contacts for 10 days after resolution of index‐case patients’ symptoms. We evaluated the associations between household factors at baseline and secondary ILI among household contacts using negative binomial regression, accounting for clustering by household. Results Our sample was 1491 household contacts of 184 index‐case patients. Seventy‐one percentage reported that smoking occurred in their home, 27% shared a latrine with one other household and 36% shared a latrine with >1 other household. A total of 114 household contacts (7.6%) had symptoms of ILI during follow‐up. Smoking in the home (RRadj 1.9, 95% CI: 1.2, 3.0) and sharing a latrine with one household (RRadj 2.1, 95% CI: 1.2, 3.6) or >1 household (RRadj 3.1, 95% CI: 1.8–5.2) were independently associated with increased risk of secondary ILI. Conclusion Tobacco use in homes could increase respiratory illness in Bangladesh. The mechanism between use of shared latrines and household ILI transmission is not clear. It is possible that respiratory pathogens could be transmitted through faecal contact or contaminated fomites in shared latrines

Profiling of major fatty acids in different raw and roasted sesame seeds cultivars

The aim of this study was to investigate the fatty acids profile of five sesame cultivars including Branching Naz, Darab, Karaj, Dezful and Black sesame and the effect of time and temperature roasting procedure. The seeds oil content varied from 43±0.28 to 47±0.41% with the average content of 44.4±1.87%. Darab and Black sesame cultivar had the highest and lowest oil content respectively. Oleic and linoleic acids were the two-dominant fatty acids in the sesame seed oil about 80 to 85% of the total amount, whereas palmitic and stearic acids were present at 12 to 15%. Moreover, Dazful and Black sesame had the maximum and minimum content of oxidizability value respectively. The results of the present study showed that the fatty acid contents in studied cultivars were steady during different roasting conditions and fatty acid behavior of samples was good fitted with the high temperatures.Key words: Gas chromatography (GC), fatty acid, roasting procedure, sesame seed, stability

Planning of a Secondary Road Network for Low-Speed Vehicles in Small or Medium-Sized City: Using Google Earth

In response to the growing environmental concern, the use of low speed vehicles (LSVs) on public roadways is gradually increasing in recent years as a short-range alternative to fossil-fueled autos. Primarily designed for protected environments and gated communities, LSVs have a maximum speed limit of 25 mph and are not subjected to the same Federal Motor Vehicle Safety Standards required for regular passenger cars. This paper presents a comprehensive planning methodology for the development of a secondary low speed roadway network primarily intended for use by LSVs that can be applied to small or medium-sized cities with closely located activity spaces. Typically, small or medium sized cities have limited planning or construction resources, therefore the objective was to develop the low speed network based on the existing road system of the city, with minimal infrastructure modifications. The City’s Transportation Plan and public opinion on route preference were integrated with the road analysis tool of Google Earth to accomplish the network development process. Public involvement in the process through a survey provided valuable insight on users’ route choice behavior; whereas the roadway inventory by City’s Transportation Planning document and Google Earth helped to evaluate city’s actual transportation infrastructure and also helped to analyze the factors influencing LSV users’ route preference behavior. The developed low speed roadway network is expected to provide safe and efficient connectivity from neighborhood areas to major activity centers of the city by LSVs, while minimally affecting the safe operations of regular automobiles.KEYWORDS: Transportation infrastructure, Corvallis, Oregon, Secondary road network, Low speed vehicles (LSVs)This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Transportation Research Board of the National Academies and can be found at: http://www.trb.org/Main/Blurbs/154702.aspx