An Analysis of Philippine Trade Reforms in 1995-2000 Using the 1994 APEX Model

There are three major developments in the area of foreign trade in 1990s: (a) the WTO-Uruguay Round agreement in 1995; (b) the AFTA agreement; and (c) the series of unilateral trade reform programs of the government. The paper attempts to make an impact assessment of these reforms during the period 1995 and 2000 using the updated APEX model, a computable general equilibrium of the Philippine economy. Part of the trade reform process is the shift to transaction valuation of imports. The paper also attempts to analyze the possible effects of this shift

Estimates of Total Factor Productivity in the Philippines

The paper presents an updated TFP estimates in the Philippines. The present estimates were derived using a modified set of methodologies, thus may not be comparable with those derived in the previous estimates (Cororaton and Caparas 1999). Modifications were introduced in the method for computing sectoral employment, sectoral investment and sectoral capital stock. Based on the revised TFP estimates, one can observe favorable as well as unfavorable trends. Sectoral estimates showed improving TFP in the 1990s, although a number of the sectoral TFP levels are still negative. However, for the economy as a whole, 1990 saw a slight decline in TFP. This could indicate that there may seem to be some unfavorable resource allocation effects. Looking at the factor intensity results, the growth during the period could generally be described as capital accumulation type of growth. This is particularly true for nontradable sectors, specially the service-related sectors. The labor-capital ratios and the sources of growth analysis indicate a movement of capital towards these sectors, relative to the rest of the sectors. One factor which may have contributed to this type of resource movement is the prolonged real appreciation of the currency in face of an aggressive trade reform programs in the first half of the 1990s. This kind of an economic environment may not be conducive to production activities, both for domestic consumption and exports. In a period when capital inflow is massive, which actually transpired during the first half of the 1990s, nontradable, service sectors could become an attractive destination of capital

LogMap family participation in the OAEI2018

We present the participation of LogMap and its variants in the OAEI 2018 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is our eight participation in the OAEI and the experience has so far been very positive. LogMap is one of the few systems that participates in (almost) all OAEI tracks

Protocol for the reconstruction of micromammals from fossils. Two case studies: The skulls of Beremendia fissidens and Dolinasorex glyphodon

We have developed a protocol for reconstructing 3D models of the skulls of extinct species of small mammals. For the first time, the reconstruction uses fragments of fossils from a mixture of different specimens and from related extant species. We use free software and commercial computers to make the process reproducible and usable for the scientific community. We present a semi-quantitative protocol to face the problem of making 3D reconstructions of fossil species that are incomplete in the fossil record and/or represented by a mixture of different individuals, as usually occurs with small vertebrates. Therefore this approach is useful when no complete skull is available. The protocol combines the use of microCT scan technology with a subsequent computer treatment using different software tools for 3D reconstruction from microCT and 3D design and printing (e.g. Fiji, SPIERS, Meshlab, Meshmixer) in a defined order. This kind of free and relatively simple software, plus the detailed description, makes this protocol practicable for researchers who do not necessarily have great deal of experience in working with 3D. As an example, we have performed virtual reconstructions of the skulls of two species of insectivore small mammals (Eulipotyphla): Beremendia fissidens and Dolinasorex glyphodon. The resulting skulls, plus models of the extant shrews Blarina brevicauda, Neomys fodiens, Crocidura russula and Sorex coronatus, make it possible to compare characteristics that can only be observed by means of microCT 3D reconstructions, and given the characteristics of the material, using this protocol. Among the characters we can compare are the position of the mandibles, the spatial relations among all the teeth, the shape of the snout and, in general, all parameters related with the anatomy of the rostrum. Moreover, these reconstructions can be used in different types of context: for anatomical purposes, especially to see internal features or characteristics at whole-skull scale, for bioengineering, animation, or other techniques that need a digital model

Mobilizing LGU Support for Basic Education: Focus on the Special Education Fund

Basic public education is still largely the responsibility of the central government, delivered through the Department of Education (DepEd), notwithstanding the devolution of many basic services to local government units (LGUs). However, LGUs do provide supplementary funding support to public basic education because they have access to a sustainable source of financial resources that are earmarked for the basic education subsector, the Special Education Fund (SEF). The SEF comes from an additional one percent tax on real property that LGUs are mandated to impose and collect by virtue of Republic Act 7160 otherwise known as the Local Government Code of 1991.The resources that LGUs provide to the basic education sector from their general fund are quite significant at 7 percent of total general government spending on basic education in 2001-2008. Thus, the LGUs are considered major partners of the national government in the delivery of basic education services. In this light, the study examines the management of the SEF in terms of collection, allocation, and utilization in order to maximize LGUs' support for the Education for All (EFA) initiative and to promote a more equitable allocation of resources for basic education.However, there are significant disparities in per pupil SEF spending across LGUs of different income classes and in different regions. LGUs in urban areas (i.e., cities and the large municipalities) where property values are high tend to have larger tax bases. These disparities have significant implications on the ability of the LGUs to provide additional support to the basic education sector.In terms of spending priorities, some of the major findings of the study include: (i) maintenance and other operating expenditures captured the biggest chunk of the total SEF spending of all LGUs in the aggregate (40%) while capital outlays and personal services garnered an average of 32 percent and 29 percent of LGUs total SEF spending in 2001-2008; (ii) repair/maintenance and construction of school buildings tops the list of SEF spending priorities in the sample Provincial School Boards (PSBs) and the sample City School Boards (CSBs); and (iii) relatively large portions (20%-50%) of the SEF are set aside for sports and other co-curricular activities and programs of the DepEd.The findings of the study highlight the need to improve the governance of Local School Boards (LSBs). Related to this, the measures proposed include: (i) clearer guidelines on preparation of the LSB budget, (ii) the establishment of needs-based criteria in allocating SEF across schools to ensure its efficient and effective use, and (iii) institutionalization of greater transparency between DepEd and LGUs in terms of reporting of resources that schools receive from the DepEd budget, on the one hand, and actual SEF collections and its utilization during the budget year, on the other hand, in order to foster better working relationship in the LSB

Análisis por qPCR de la respuesta a P. cinnamomi en clones de castaño in vitro con diferente nivel de resistencia

Peer reviewe

Five decades of corporate entrepreneurship research : measuring and mapping the field

Research on corporate entrepreneurship venturing activities by established corporations has received increasing scholarly attention. We employ bibliometric methods to analyze the literature on corporate entrepreneurship published over the last five decades. Based on the results of citation and co-citation analyses, we reveal central works in the field and how they are interconnected. We investigate the underlying intellectual structure of the field. Our findings provide evidence of the growing maturity and interdisciplinarity of corporate entrepreneurship and provide insight into research themes. We find that resource-based view and its extensions still remain the predominant theoretical perspectives in the field. Drawing on these findings, we suggest directions for future research

Efficient multi-task progressive learning for semantic segmentation and disparity estimation

Scene understanding is an important area in robotics and autonomous driving. To accomplish these tasks, the 3D structures in the scene have to be inferred to know what the objects and their locations are. To this end, semantic segmentation and disparity estimation networks are typically used, but running them individually is inefficient since they require high-performance resources. A possible solution is to learn both tasks together using a multi-task approach. Some current methods address this problem by learning semantic segmentation and monocular depth together. However, monocular depth estimation from single images is an ill-posed problem. A better solution is to estimate the disparity between two stereo images and take advantage of this additional information to improve the segmentation. This work proposes an efficient multi-task method that jointly learns disparity and semantic segmentation. Employing a Siamese backbone architecture for multi-scale feature extraction, the method integrates specialized branches for disparity estimation and coarse and refined segmentations, leveraging progressive task-specific feature sharing and attention mechanisms to enhance accuracy for solving both tasks concurrently. The proposal achieves state-of-the-art results for joint segmentation and disparity estimation on three distinct datasets: Cityscapes, TrimBot2020 Garden, and S-ROSeS, using only of the parameters of previous approaches.This work was supported by the I+D+i project TED2021-132103A-I00 (DOREMI), funded by MCIN/AEI /10.13039/501100011033

Geographic mobility and social inequality among Peruvian university students

The purpose of this study was to explore geographic mobility among university students in Peru and to understand how mobility patterns differ by region and by demographic indicators of inequality. The ways that students may be able to move geographically in order to access quality higher education within the educational system can be a driver of equality or inequality, depending on who is able to take advantage. Using data from a university census, we examine how demographic indicators of inequality are related to geographic mobility for university attendance, how prior geographic mobility predicts later mobility for university attendance, and how these relationships differ based on the number and quality of universities in a region. Results show that sociodemographic variables related to social inequality explain a substantial amount of students\u27 postsecondary mobility. However, some of these relationships do not operate in the same way in all of the regions. Depending on the availability of universities and their quality, patterns of association between inequality and geographic mobility change. Implications for higher education policy as well as further research examining geographic mobility and inequality in education are discussed

Global Point Cloud Registration Network for Large Transformations

Three-dimensional data registration is an established yet challenging problem that is key in many different applications, such as mapping the environment for autonomous vehicles, and modeling objects and people for avatar creation, among many others. Registration refers to the process of mapping multiple data into the same coordinate system by means of matching correspondences and transformation estimation. Novel proposals exploit the benefits of deep learning architectures for this purpose, as they learn the best features for the data, providing better matches and hence results. However, the state of the art is usually focused on cases of relatively small transformations, although in certain applications and in a real and practical environment, large transformations are very common. In this paper, we present ReLaTo (Registration for Large Transformations), an architecture that faces the cases where large transformations happen while maintaining good performance for local transformations. This proposal uses a novel Softmax pooling layer to find correspondences in a bilateral consensus manner between two point sets, sampling the most confident matches. These matches are used to estimate a coarse and global registration using weighted Singular Value Decomposition (SVD). A target-guided denoising step is then applied to both the obtained matches and latent features, estimating the final fine registration considering the local geometry. All these steps are carried out following an end-to-end approach, which has been shown to improve 10 state-of-the-art registration methods in two datasets commonly used for this task (ModelNet40 and KITTI), especially in the case of large transformations