An Integer Programming Formulation of the Minimum Common String Partition problem

We consider the problem of finding a minimum common partition of two strings (MCSP). The problem has its application in genome comparison. MCSP problem is proved to be NP-hard. In this paper, we develop an Integer Programming (IP) formulation for the problem and implement it. The experimental results are compared with the previous state-of-the-art algorithms and are found to be promising.Comment: arXiv admin note: text overlap with arXiv:1401.453

Joint-SRVDNet: Joint Super Resolution and Vehicle Detection Network

In many domestic and military applications, aerial vehicle detection and super-resolutionalgorithms are frequently developed and applied independently. However, aerial vehicle detection on super-resolved images remains a challenging task due to the lack of discriminative information in the super-resolved images. To address this problem, we propose a Joint Super-Resolution and Vehicle DetectionNetwork (Joint-SRVDNet) that tries to generate discriminative, high-resolution images of vehicles fromlow-resolution aerial images. First, aerial images are up-scaled by a factor of 4x using a Multi-scaleGenerative Adversarial Network (MsGAN), which has multiple intermediate outputs with increasingresolutions. Second, a detector is trained on super-resolved images that are upscaled by factor 4x usingMsGAN architecture and finally, the detection loss is minimized jointly with the super-resolution loss toencourage the target detector to be sensitive to the subsequent super-resolution training. The network jointlylearns hierarchical and discriminative features of targets and produces optimal super-resolution results. Weperform both quantitative and qualitative evaluation of our proposed network on VEDAI, xView and DOTAdatasets. The experimental results show that our proposed framework achieves better visual quality than thestate-of-the-art methods for aerial super-resolution with 4x up-scaling factor and improves the accuracy ofaerial vehicle detection

Addressing the complexities of managing domestic and multinational corporate brands

Purpose – The purpose of this paper is to focus on the differences between managing domestic corporate brands (DCBs) and multinational corporate brands (MCBs), and presents a framework highlighting six types of complexity associated with managing both forms of corporate brands in an international business context. Design/methodology/approach – This paper proposes a framework addressing six types of complexity involved in managing DCBs and MCBs drawing on the literature related to corporate branding, corporate brands, and domestic and multinational corporations. The six types of complexity examined include: strategic role, organisational structure, culture, knowledge, positioning and extended responsibility. Findings – The research identifies that DCBs have a lower degree of complexity in regard to strategic role, knowledge and positioning, but have a higher level in regard to organisational structure, cultural and extended responsibility complexity. MCBs face more complexity than DCBs across all dimensions because they operate across business environments and need to coordinate activities while adapting to environmental differences. Practical implications – The findings highlight the importance of environmental complexity for firms managing brands globally. The issues of complexity identified in this paper need to be understood if firms are to effectively build and manage their corporate brands within and across markets. Originality/value – The paper highlights the concepts of DCBs and MCBs, and identifies the factors that contribute to the complexity of managing these two types of corporate brands domestically and internationally

MatriVasha: A Multipurpose Comprehensive Database for Bangla Handwritten Compound Characters

At present, recognition of the Bangla handwriting compound character has been an essential issue for many years. In recent years there have been application-based researches in machine learning, and deep learning, which is gained interest, and most notably is handwriting recognition because it has a tremendous application such as Bangla OCR. MatrriVasha, the project which can recognize Bangla, handwritten several compound characters. Currently, compound character recognition is an important topic due to its variant application, and helps to create old forms, and information digitization with reliability. But unfortunately, there is a lack of a comprehensive dataset that can categorize all types of Bangla compound characters. MatrriVasha is an attempt to align compound character, and it's challenging because each person has a unique style of writing shapes. After all, MatrriVasha has proposed a dataset that intends to recognize Bangla 120(one hundred twenty) compound characters that consist of 2552(two thousand five hundred fifty-two) isolated handwritten characters written unique writers which were collected from within Bangladesh. This dataset faced problems in terms of the district, age, and gender-based written related research because the samples were collected that includes a verity of the district, age group, and the equal number of males, and females. As of now, our proposed dataset is so far the most extensive dataset for Bangla compound characters. It is intended to frame the acknowledgment technique for handwritten Bangla compound character. In the future, this dataset will be made publicly available to help to widen the research.Comment: 19 fig, 2 tabl

The Impact of Covid-19 Pandemic on Taxpayers’ Compliance of MSMEs in Palembang

This study aims to determine the impact of the attitude of taxpayers, taxpayers’ knowledge, taxpayers’ awareness, and tax socialization on taxpayers’ compliance of Micro, Small, Medium-sized Enterprises (MSMEs) in Palembang, Indonesia during the Covid-19 Pandemic. A quantitative research method is used with a deductive research approach. This study used primary data by distributing questionnaires to taxpayers’ compliance of MSMEs in Palembang, Indonesia. The sample size used was 396 respondents with a total population of 37.902 (Department of Cooperatives and MSMEs, 2019) by using simple random sampling. Moreover, the IBM SPSS 20 software is used for analytical tool in this study. The results of this study indicate that partially the attitude of taxpayers’, taxpayers’ knowledge, and taxpayers’ awareness have a positive and significant effect on taxpayers’ compliance. On the other hand, tax socialization has no effect on taxpayers’ complianc

INFLUENCE OF ORGANIZATIONAL STRUCTURE, WORK DESIGN AND COMPETENCY TOWARD NURSES PERFORMANCE SATISFACTION

A critical institution in a society is the hospital as a centre for medical services. There are physicians and nurses in the hospital. Nurses are also expected to enhance nursing performance as the largest health care team. The organisational structure here can only strengthen the perception of some dimensions of job satisfaction, such as the attainment of value. Ali and Zia-ur-Rehman (2014) found a strong link between work design and the performance of employees and job satisfaction that had a positive effect on the performance of employees. The topic of this study is formulated in the title on the basis of the review of the following problems: The influence of organisational structure, work design and competence on the performance satisfaction of nurses at Jakarta Seaport Hospital and Omni Hospital Pulomas. The method of this study is quantitative descriptive research, namely research on data gathered and expressed in the form of numbers. In this report, the target population was as many as 200 nurses at the Jakarta Seaport Hospital and as many as 200 nurses at the Omni Pulomas Jakarta Hospital. Result: Organizational structure (X1) on the satisfaction of the performance of nurses at Omni Hospital Pulomas has a higher impact value than Jakarta Seaport Hospital, while Jakarta Seaport Hospital has a higher impact value for Work Design (X2) on Nurse's Performance Satisfaction (Y) than the Omni Hospital Pulomas in Jakarta, and for the Jakarta Seaport Hospital Competency Variable (X3) (Y). In comparison, Omni Hospital has the effect of competence on the performance satisfaction of nurses (Y). Nurses need to further strengthen their performance and competence and pay more attention to patients' concerns. JEL: L20; M10; I10 Article visualizations

A CONCEPTUAL UNDERSTANDING OF THE CRITICAL FACTORS THAT INDUCE WOMEN ENTREPRENEURIAL SUCCESS IN THE KLANG VALLEY, MALAYSIA

Entrepreneurship has always been men’s realm, nevertheless women’s enthusiasm in business shows some intensification in Malaysia, but their success is still trivial. This stimulates doubts about the factors that induce their success as entrepreneurs. The objective of this research is to offer an understanding into the success factors of women entrepreneurs in the Klang Valley, Malaysia. Thus, this study focuses on the implication of five variables, which are financial capital, human capital, social capital, innovation and work-life balance that induces success to the women entrepreneurs. To attain the objective of this study, a survey technique is used. The primary data would provide an understanding of the factors that induces success to the women entrepreneur. This study used quantitative methods to produce empirical outcomes and validations to answer the research questions. The Resource-Based View Theory and Conflict Theory are the theoretical foundations that fill the gaps of the study. The findings of this study could perhaps be a benchmark to other women to rise against all tribulations faced in their pursuit to triumph and remain at the highest socio-economic level as well as attain a competitive edge in business.  Article visualizations

Closing the Relevance Gap: Lessons in Co-Developing Gender Transformative Research Approaches with Development Partners and Communities

The CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS) Theme Linking Knowledge with Action (K2A) engaged in a two-year social learning process to develop tools, best practices and capacity building trainings around gender sensitive and participatory research for climate change. The output was the resource guide, “Gender and Inclusion Toolbox: Participatory Research in Climate Change and Agriculture”. This paper documents the social learning process of co-designing and co-testing the toolbox with various development partners, CGIAR scientists, technical officers and local communities and offers key reflections and learning on the challenges and entry points to promoting a participatory and gender sensitive research agenda across upstream and downstream stakeholders