The future for fish in the food and livelihoods of the poor in Asia

This article is based on the study, Strategies and Options for Increasing and Sustaining Benefits from Fisheries and Aquaculture Production to Benefit Poor Households in Asia carried out under ADB-RETA 5945, and implemented by the WorldFish Center in partnership with nine participating Asian countries

Institutional issues in the CBFM-2 project

A wide range of institutional arrangements were practiced in the Community Based Fisheries Management project in phase-1 (1994-1999) and phase-2 (2001-2007). The project documents stated that there were three main fisheries management approaches; fisher-led, community-led and women-led, however this fails to capture the full diversity of approaches adopted by 10 project partners (including DoF) during implementation. As a part of the institutionalization process, 130 CBOs were developed and established under the project as clear legal entities. In order to achieve sustainable management of the fisheries, efforts have been made towards linking these communitybased organizations (CBOs) and local institutions in CBFM-2 sites. Four regional CBO networking committees and a central committee were formed. The central committee is now being officially registered. Project partner NGOs were the main agencies involved in the CBO development process. To improve the likelihood of long-term CBO sustainability, plans have been prepared and are being implemented for project phase-out and post-project sustainability. Another important process was cluster management in CBFM. Overall, it can be concluded that the establishment of CBOs as local level institutions, cluster management and CBO networks made a positive contribution towards project implementation and should help to ensure that CBFM approaches are sustained.Fishery management

Impact pathway analysis for research planning: the case of aquatic resources research in the WorldFish Center

In line with its mandate of poverty reduction and sustainable development, the WorldFish Center is orienting its research towards high impact scientific activity. Identifying such activities is the task of prospective impact assessment, in turn based on impact pathway analysis. The paper describes a framework for analyzing benefits from aquatic resources research, the relevant research categories, pathways to impact by category, and indicators along each pathway that can be estimated in order to quantify probable research impact

Assessment of the impact of aquatic resources research by ICLARM: scope and methodologies

The importance of quantifying the economic returns to investments in aquatic resources research together with the social, environmental and institutional impacts of such investments is widely recognized among ICLARM's donors, trustees and beneficiaries. As with other Consultative Group on International Agricultural Research (CGIAR) centers, ICLARM is being asked to provide specific accounts of the outputs of its research and their impact on farms and on fisheries, including their socioeconomic impact. Such impact information has become a necessary, though not sufficient, basis for setting priorities and allocating resources for research for the CGIAR centers. This paper discusses the types and methods of impact assessment relevant to ICLARM's work. A three-pronged assessment approach is envisaged to capture the full range of impacts: 1) ex ante assessment for research priority setting; 2) assessment prior to dissemination or adoption along with monitoring and evaluation; and 3) ex post impact assessment. It also discusses the objectives and scope for operational impact assessment of ICLARM's research

Strategic orientation, strategic renewal, and the international performance of born global firms

The international business environment is both dynamic and turbulent. Accordingly, a new venture’s strategic orientation (SO) and ability to undertake strategic renewal (SR) are of great importance to its survival, growth and international performance. Building on the dynamic capability perspective, we explore how SR capability mediates the relationship between SO and the performance of mature born global firms (BGFs). In particular, we examine the direct and indirect interplay between the SO of BGFs and their performance outcomes. We use a sample of 195 export-oriented BGFs, derived from the Bangladeshi apparel industry. We use a hierarchical regression analysis technique to test the direct effects. The mediation effect is examined using three statistical tests – Baron and Kenney’s (1986) causal steps approach, the Sobel test, and the Hayes indirect effect with bootstrapping method – to ensure the validity and reliability of our findings. The results reveal a positive association between SO and the performance of BGFs, and that this relationship is mediated by the firms’ SR capability. We contribute to a greater understanding of the drivers of mature BGFs’ international performance by demonstrating a direct link between their SO and SR capability, which in turn affects their performance outcomes

Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition

Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, a CNN based method has been investigated for Bangla handwritten numeral recognition. A moderated pre-processing has been adopted to produce patterns from handwritten scan images. On the other hand, CNN has been trained with the patterns plus a number of artificial patterns. A simple rotation based approach is employed to generate artificial patterns. The proposed CNN with artificial pattern is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset

Multiple convolutional neural network training for Bangla handwritten numeral recognition

Recognition of handwritten numerals has gained much interest in recent years due to its various application potentials. The progress of handwritten Bangla numeral is well behind Roman, Chinese and Arabic scripts although it is a major language in Indian subcontinent and is the first language of Bangladesh. Handwritten numeral classification is a high-dimensional complex task and existing methods use distinct feature extraction techniques and various classification tools in their recognition schemes. Recently, convolutional neural network (CNN) is found efficient for image classification with its distinct features. In this study, three different CNNs with same architecture are trained with different training sets and combined their decisions for Bangla handwritten numeral recognition. One CNN is trained with ordinary training set prepared from handwritten scan images; and training sets for other two CNNs are prepared with fixed (positive and negative, respectively) rotational angles of original images. The proposed multiple CNN based approach is shown to outperform other existing methods while tested on a popular Bangla benchmark handwritten dataset

ENHANCEMENT OF ADVENTITIOUS SHOOT REGENERATION IN SESAME (SESAMUM INDICUM L.) CULTIVAR PROMO KY USING ETHYLENE INHIBITORS

Ethylene produced by tissue, callus and plantlets in closed vessels may lead to abnormal plantlet growth and branching in vitro. Silver nitrate (AgNO3) and Cobalt chloride (CoCl2) are known as ethylene inhibitors. Therefore, the objective of this study was to evaluate the in vitro regeneration capacity of sesame cultivar Promo KY when exposed to culture media containing ethylene inhibitors. A protocol is presented for direct adventitious shoot organogenesis and complete plant regeneration. MS medium enriched with 1.0 mg/L Benzyl adenine (BA) induced adventitious shoot in axenic seedling-derived shoot tips. Addition of ethylene inhibitors AgNO3 (0.5- 5.0 mg/L) enhanced number of shoots from 2.7 to 3.7 shoot/explant as well as shoot length from 1.3 to 2.9 cm . In the case of a medium comprising of MS salts with Naphthyl-Acetic Acid (NAA) 0.05 mg/L, 63 root/explant was observed and root emergence occur after 25 days of culture. Addition of 3.0 mg/L AgNO3 improved root initiation to 79 root/explants and root emerged after 14 days. Addition of 5.0 mg/L CoCl2 increase the root length from 3.5 cm to 17 cm. These promotive effects may result from a reduction in ethylene concentration or inhibition of ethylene action. The results found in this study may be used to improve the multiple shoot and rooting efficiency of Sesame cultivars and possibly of other plant species

Customized Fault Management System for Low Voltage (LV) Distribution Automation System

1. Introduction Supply disruption such as overloading will cause interruptions of electricity supply to customers. The technicians have to manually locate the fault point and this tedious work may last for extended periods of time. The other reasons are the lack of use of efficient tools for operational planning and advanced methodology for quick detection of fault, isolation of the faulty section and service restoration. Currently, fault detection, isolation and service restoration takes a long time causing the interruption of supply for a longer duration