Antecedents of Entrepreneurial Intentions: A Comparative Study of Cultures

Mohammad Rumzi TAUSIF,Mohammad Imdadul HAQUE,M,Madhu Sudhan RAO,Md,Riyazuddin KHAN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.5

The study examines differences in entrepreneurial intentions and its antecedents across countries and cultures. This study uses Ajzen’s Theory of Planned Behaviour to compare the entrepreneurial intention of two diverse countries: Saudi Arabia and India. The study uses the non-parametric Mann Whitney U test and Structural Equation Modeling to analyze a sample of university students of the two countries. The study finds significant differences among the students of these two countries. The result indicates that entrepreneurial intention is higher in Indian students than their counterparts in Saudi Arabia. The result further indicates that attitude and perceived behavioral control explains entrepreneurial intention in both the countries. However, social norms are significant in explaining entrepreneurial intention only in India and not in Saudi Arabia. The findings of this study suggest that entrepreneurship has higher social approval in India when compared to Saudi Arabia. Social norms impact entrepreneurial intentions differently for India and Saudi Arabia. The study attributes the results to the differences in per capita income and socio-cultural norms in both countries. This study is one of the few that have explored cross-country entrepreneurial attributes as it addresses the research gap in terms of comparing entrepreneurial intentions of India and Saudi Arabia.

Handwritten Indic Digit Recognition using Deep Hybrid Capsule Network

Mohammad Reduanul Haque,Rubaiya Hafiz,Mohammad Zahidul Islam,Mohammad Shorif Uddin International Journal of Computer ScienceNetwork S 2024 International journal of computer science and netw Vol.24 No.2

Indian subcontinent is a birthplace of multilingual people where documents such as job application form, passport, number plate identification, and so forth is composed of text contents written in different languages/scripts. These scripts may be in the form of different indic numerals in a single document page. Due to this reason, building a generic recognizer that is capable of recognizing handwritten indic digits written by diverse writers is needed. Also, a lot of work has been done for various non-Indic numerals particularly, in case of Roman, but, in case of Indic digits, the research is limited. Moreover, most of the research focuses with only on MNIST datasets or with only single datasets, either because of time restraints or because the model is tailored to a specific task. In this work, a hybrid model is proposed to recognize all available indic handwritten digit images using the existing benchmark datasets. The proposed method bridges the automatically learnt features of Capsule Network with hand crafted Bag of Feature (BoF) extraction method. Along the way, we analyze (1) the successes (2) explore whether this method will perform well on more difficult conditions i.e. noise, color, affine transformations, intra-class variation, natural scenes. Experimental results show that the hybrid method gives better accuracy in comparison with Capsule Network.

Building structural health monitoring using dense and sparse topology wireless sensor network

Mohammad E. Haque,Mohammad F.M. Zain,Mohammad A. Hannan,Mohammad H. Rahman 국제구조공학회 2015 Smart Structures and Systems, An International Jou Vol.16 No.4

Wireless sensor technology has been opened up numerous opportunities to advanced health and maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The way the sensor nodes are connected plays an important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor network were extensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node\'s size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

Mineralization of Bioslurry and its Integrated Use with Fertilizers in the Rice Based Cropping Systems

Mohammad Asadul Haque,M. Jahiruddin,M. Mazibur Rahman,M. Abu Saleque 한국토양비료학회 2014 한국토양비료학회 학술발표회 초록집 Vol.2014 No.6

Distinction between Cold-sensitive and -tolerant Jute by DNA Polymorphisms

( Mohammad Belayat Hossain ),( Aleya Awal ),( Mohammad Aminur Rahman ),( Samiul Haque ),( Haseena Khan ) 생화학분자생물학회 2003 BMB Reports Vol.36 No.5

Jute is the principal coarse fiber for commercial production and use in Bangladesh. Therefore, the development of a high-yielding and environmental-stress tolerant jute variety would be beneficial for the agro economy of Bangladesh. Two molecular fingerprinting techniques, random-amplified polymorphic DNA (RAPD) and amplified-fragment length polymorphism (AFLP) were applied on six jute samples. Two of them were cold-sensitive varieties and the remaining four were cold-tolerant accessions. RAPD and AFLP fingerprints were employed to generate polymorphism between the cold-sensitive varieties and cold-tolerant accessions because of their simplicity, and also because there is no available sequence information on jute. RAPD data were obtained by using 30 arbitrary oligonucleotide primers. Five primers were found to give polymorphism between the varieties that were tested. AFLP fingerprints were generated using 25 combinations of selective-amplification primers. Eight primer combinations gave the best results with 93 polymorphic fragments, and they were able to discriminate the two cold-sensitive and four cold-tolerant jute populations. A cluster analysis, based on the RAPD and AFLP fingerprint data, showed the population-specific grouping of individuals. This information could be useful later in marker-aided selection between the cold-sensitive varieties and cold-tolerant jute accessions.

Numerical investigation of convective heat transfer characteristics of circular and oval tube banks with vortex generators

Mohammad Rejaul Haque,Md. Ashiqur Rahman 대한기계학회 2020 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.34 No.1

The present work represents a 3-D numerical investigation of forced convection heat transfer over circular and oval tube banks with longitudinal vortex generators (LVGs) for flow through a fin-and-tube heat exchanger. The thermo-hydraulic performance parameters are studied numerically using computational fluid dynamics (CFD) tool. It is found that within the range of Reynolds number (500-850) studied, the degree of heat transfer enhancement is greatly influenced by the tube shape. Heat transfer increases by 13 % when the angle of attack is varied from 15º to 25º, with a corresponding pressure drop of 40 % and 62 % for the oval tubes and circular tubes, respectively. The effect of the aspect ratio of the oval tubes is observed to be very significant. Several other performance parameters of the oval and circular tube banks with vortex generators under the same operating conditions are compared with a focus on finding an optimal configuration.

Oil Prices and Terms of Trade of Saudi Arabia: An Empirical Analysis

HAQUE, Mohammad Imdadul,IMRAN, Mohammad Korea Distribution Science Association 2020 The Journal of Asian Finance, Economics and Busine Vol.7 No.9

Terms of trade is an important indicator of the welfare gains from international trade to the exporting country. Terms of trade of oil-exporting countries are hypothesized to depend primarily on oil prices. The study assesses the relation between oil prices and the terms of trade of Saudi Arabia. The study uses the Autoregressive Distributed Lag method to determine the cointegration between the country's terms of trade and oil prices for the period 2000-2018. The data for net barter terms of trade is taken from World Development Indicators and oil price is taken from Saudi Arabian Monetary Agency. The results show that oil prices and terms of trade are cointegrated and any disequilibrium between the two variables is corrected by 35% in a year. The study also reports a positive relationship between the two items, both in the short run and long run. Diagnostic tests indicate the model to be fit. The results suggest that, for a primarily oil-producing country like Saudi Arabia, the terms of trade depend on oil prices. The study fills the gap in the literature on the study of terms of trade for Saudi Arabia for the last few years, where there has been a high volatility in oil prices.

An analysis of content-based classification of audio signals using a fuzzy c-means algorithm

Haque, Mohammad A.,Kim, Jong-Myon Springer-Verlag 2013 MULTIMEDIA TOOLS AND APPLICATIONS Vol.63 No.1

Stigmasterol activates Cdc42-Arp2 and Erk1/2-Creb pathways to enrich glutamatergic synapses in cultures of brain neurons

Haque, Md. Nazmul,Bhuiyan, Mohammad Maqueshudul Haque,Moon, Il Soo Elsevier 2018 Nutrition research Vol.56 No.-

<P>The naturally occurring phytosterol stigmasterol (ST) ameliorates scopolamine-induced memory impairment and promotes neuritogenesis and synaptogenesis. Therefore, in this study, we investigated the hypothesis that ST promotes spinogenesis and the formation of glutamatergic synapses and thus improves memory in cultured rat hippocampal neurons. Immunoblots showed that ST activated extracellular signal-regulated kinase 1/2 (Erk1/2) and cAMP response element binding protein (Creb), and upregulated actin-related protein 2 (Arp2) and cell division cycle 42 (Cdc42), central components in actin organization and spine head development. Consistently, DiO staining of live neurons showed that ST increased the densities of dendritic filopodia and mushroom-type mature spines, and immunocytochemistry showed an increase in the expressions of the GluN2A and GluN2B subunits of N-methyl-D-aspartate receptors (NMDARs) at synapses. Finally, staining the recycling membranes with FM1-43 showed that ST increased the sizes of synaptic vesicle pools at presynaptic terminals. Together, our data indicate that ST upregulates Cdc42-Arp2/3 and Erk1/2-Creb signaling and thus induces the formations of mushroom-type spines and glutamatergic excitatory synapses. (C) 2018 Elsevier Inc. All rights reserved.</P>

Poverty Profiles and Coping Strategies of the Haor (Ox-bow lake) Households in Bangladesh

Mohammad Mizanul Haque KAZAL,Sanzidur RAHMAN,Mohammad Zakir HOSSAIN 연세대학교 빈곤문제국제개발연구원 2017 Journal of Poverty Alleviation and International D Vol.8 No.1

The study examines the depth and severity of poverty and coping strategies of 4065 households from 30 haor (ox-bow lake) areas from six north-eastern districts of Bangladesh. Results revealed that 29.6% and 43.0% of the surveyed households were below the lower and upper poverty lines based on a Cost of Basic Needs (CBN) method. The depth of poverty was estimated at 7.6% and 12.4% and the severity of poverty at 3.0% and 5.2%, respectively based on lower and upper poverty line estimates, which were substantially higher than the national average for rural areas of Bangladesh. Poverty is relatively higher for the households characterized by landlessness, large family size, lacking durable assets, poor housing and sanitation, NGO membership, wage labor and illiterate heads. Loans from moneylenders and/or relatives, reduction of monthly expenditure and asset sale were the main coping strategies. Policy implications include land reform and tenurial policies aimed at smooth functioning of the land rental market; provision of collateral free credit; investments in employment and income generation activities; provision of skills training; targeted education programs and increased coverage of safety net programs in order to reduce poverty of these highly vulnerable haor residents.