Miracle-dz/UniFAR-FTUs huggingface dataset:
Export Growth and Industrial Policy: Lessons from the East Asian Miracle Experience

Industrial policy was for many years associated in policy discourse with failed interventionist import substitution strategies despite its apparent success in East Asia. Further despite the obvious point that in the real world 'markets fail' and enterprises impinge on each other, so that inevitably private and social returns deviate, public policy interventions to try to address these issues in the context of manufacturing have been treated with considerable suspicion. Industrial policy has seen a minor revival in recent times, however, stimulated in part by new theorizing and in part by ongoing debates on 'national competitiveness' strategies which have offered a new entrée in the context of globalization. The paper commences with a survey of the evidence on export growth and industrial policy in the NIEs, before turning to lessons for contemporary policy. This paper was prepared to be presented at the LAEBA Second Annual Meeting, Buenos Aires, Argentina, 28-29 November, 2005.
OCTN 2 VT , a splice variant of OCTN 2 , does not transport carnitine because of the retention in the endoplasmic reticulum caused by insertion of 24 amino acids in the first extracellular loop of OCTN 2

A novel organic cation transporter OCTN2 is indispensable for carnitine transport across plasma membrane and subsequent fatty acid metabolism in the mitochondria. Here, we report a novel splice variant of OCTN2 (OCTN2VT), in which a 72 base-pair sequence located in the first intron of OCTN2 gene was spliced between exons 1 and 2 of OCTN2, causing the insertion of 24 amino acids in the first extracellular loop of OCTN2. Despite the similarity between OCTN2 and OCTN2VT regarding primary structure and tissue distribution, their biochemical characteristics were significantly different. OCTN2 was expressed on the plasma membrane with robust N-glycosylation, whereas OCTN2VT was retained in the endoplasmic reticulum (ER) with poor N-glycosylation. In addition, the retention in the ER caused no carnitine uptake into the cells. These results demonstrate that the biochemical and functional characteristics of OCTN2VT are distinct from OCTN2 due to the insertion of 24 amino acids in the first extracellular loop.
The knowledge management spectrum - understanding the KM landscape

Knowledge management (KM) is the subject of much literature, discussion, planning and some action. Effectively implementing a sound KM strategy and becoming a knowledge–based company is seen as a mandatory condition of success for organizations as they enter the era of the knowledge economy. Yet KM remains a broadly ill–defined term, with many, often disparate management theories, applications and technologies claiming a place under the KM banner. Read individually, the literature often presents a single view of what is a multifaceted topic. The KM spectrum has been developed to assist organizations in understanding the range of KM options, applications and technologies available to them. It provides a view of the totality and complexity of the various KM theories, tools and techniques presented in the literature. It provides a framework within which management can balance its KM focus and establish and communicate its strategic KM direction. This article introduces the KM spectrum as a synthesis of current KM theories, applications, tools and technologies described in the literature.
Optimizing Whole House Deep Energy Retrofit Packages: A Case Study of Existing Chicago-Area Homes

Improving the energy efficiency of the residential building stock plays a key role in mitigating global climate change. New guidelines are targeting widespread application of deep energy retrofits to existing homes that reduce their annual energy use by 50%, but questions remain as to how to identify and prioritize the most cost-effective retrofit measures. This work demonstrates the utility of whole building energy simulation and optimization software to construct a "tool-box" of prescriptive deep energy retrofits that can be applied to large portions of the existing housing stock. We consider 10 generally representative typology groups of existing single-family detached homes built prior to 1978 in the Chicago area for identifying cost-optimal deep energy retrofit packages. Simulations were conducted in BEopt and EnergyPlus operating on a cloud-computing platform to first identify cost-optimal enclosure retrofits and then identify cost-optimal upgrades to heating, ventilation, and air-conditioning (HVAC) systems. Results reveal that prescriptive retrofit packages achieving at least 50% site energy savings can be defined for most homes through a combination of envelope retrofits, lighting upgrades, and upgrades to existing HVAC system efficiency or conversion to mini-split heat pumps. The average upfront cost of retrofits is estimated to be ~$14,400, resulting in average annual site energy savings of ~54% and an average simple payback period of ~25 years. Widespread application of these prescriptive retrofit packages across the existing Chicago-area residential building stock is predicted to reduce annual site energy use by 3.7 × 10 16 J and
Using design patterns for type unification and introspection in SystemC

Reflective environments such as . NET have provided programmers with the ability to gain access to a program structural information with ease. Reflectivity allows program metadata to be accessible at runtime. C++ is perceived by many to be a well-balanced language; it combines elegant software constructs and raw execution speed. Due to C++ success, many hardware engineers are moving away for traditional solution such as VHDL to new ones such as System. Since SystemC is based on C++, it is lacking some of the advanced features and concepts available in modern languages. For this raison, our team has built a system-level modeling environment called Esys.Net that is based on . Net and C#. We are now looking at interoperability avenues between ESys.Net and SystemC. We propose a solution that, through data introspection, could greatly ease interoperability between SystemC and other environments (and tools) such as ESys.Net, while avoiding the RTTI (Run Time Type Information) library.
Prototyping of MODIS LAI and FPAR algorithm with LASUR and LANDSAT data

This paper describes results from prototyping of the moderate resolution imaging spectroradiometer (MODIS) radiative transfer-based synergistic algorithm for the estimation of global leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) absorbed by vegetation using land surface reflectances (LASUR) and Landsat data. The algorithm uses multispectral surface reflectances and a land cover classification map as input data to retrieve global LAI and FPAR fields. The authors' objectives are to evaluate its performance as a function of spatial resolution and uncertainties in surface reflectances and the land cover map. They analyzed reasons the algorithm can or cannot retrieve a value of LAI/FPAR from the reflectance data and justified the use of more complex algorithms, instead of NDVI-based methods. The algorithm was tested to investigate the effects of vegetation misclassification on LAI/FPAR retrievals. Misclassification between distinct biomes can fatally impact the quality of the retrieval, while the impact of misclassification between spectrally similar biomes is negligible. Comparisons of results from the coarse and fine resolution retrievals show that the algorithm is dependent on the spatial resolution of the data. By evaluating the data density distribution function, they can adjust the algorithm for data resolution and utilize the algorithm with data from other sensors.
Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System

Mobile mapping systems (MMSs) are used for mapping topographic and urban features which are difficult and time consuming to measure with other instruments. The benefits of MMSs include efficient data collection and versatile usability. This paper investigates the data processing steps and quality of a boat-based mobile mapping system (BoMMS) data for generating terrain and vegetation points in a river environment. Our aim in data processing was to filter noise points, detect shorelines as well as points below water surface and conduct ground point classification. Previous studies of BoMMS have investigated elevation accuracies and usability in detection of fluvial erosion and deposition areas. The new findings concerning BoMMS data are that the improved data processing approach allows for identification of multipath reflections and shoreline delineation. We demonstrate the possibility to measure bathymetry data in shallow (0–1 m) and clear water. Furthermore, we evaluate for the first time the accuracy of the BoMMS ground points classification compared to manually classified data. We also demonstrate the spatial variations of the ground point density and assess elevation and vertical accuracies of the BoMMS data.
The English dative alternation: The case for verb sensitivity1

We challenge the predominant view of the English dative alternation, which takes all alternating verbs to have two meanings: a caused possession meaning realized by the double object variant and a caused motion meaning realized by the to variant. Instead, we argue that verbs like give and sell only have a caused possession meaning, while verbs like throw and send have both caused motion and caused possession meanings. We show that the caused possession meaning may be realized by both variants. Concomitantly, we argue that verbs like give, even in the to variant, lack a conceptual path constituent, and instead have a caused possession meaning which can be understood as the bringing about of a ‘have’ relation. We reassess evidence for alternative approaches adduced from inference patterns and verb–argument combinations and demonstrate how our verb-sensitive analysis, when combined with an account of variant choice, provides a more insightful explanation of this data, while having wider coverage. Our investigation affirms proposals that a verb's own meaning plays a key role in determining its argument realization options. To conclude, we consider the crosslinguistic implications of our study, attempting to explain why so many languages lack a true dative alternation.
Target-Dependent Feedforward Inhibition Mediated by Short-Term Synaptic Plasticity in the Cerebellum

Cerebellar feedforward inhibition (FFI) is mediated by two distinct pathways targeting different subcellular compartments of Purkinje cells (PCs). The axon of the granule cell, the parallel fiber, makes excitatory synapses not only onto PCs but also onto two types of interneurons, basket and stellate cells. Basket and stellate cells then send inhibitory signals to the soma and dendrites of Purkinje cells, respectively. Functional differences between somatic and dendritic FFI pathways, however, remain unknown. Here we address this question by examining how basket and stellate cells are recruited dynamically under high-frequency granule cell inputs at mice cerebellum. Short-term plasticity of various synapses within the FFI circuit has been explored. Unexpectedly, the parallel fiber synapse, which was considered to be facilitating during repetitive stimulation, shows depression, when the postsynaptic target is a basket cell. Other factors in the FFI circuit, such as firing properties of interneurons and dynamics of inhibitory synapses, are similar between somatic and dendritic pathways. The target-dependent parallel fiber synaptic plasticity has functional consequences for the two FFI pathways, because we observe that PCs receive transient somatic inhibition during 50 Hz stimulation of granule cells but persistent dendritic inhibition.
Patterns of scheduled follow-up appointments following hospitalization for heart failure: insights from an urban medical center in the United States

Objectives Although postdischarge outpatient follow-up appointments after a hospitalization for heart failure represent a potentially effective strategy to prevent heart failure readmissions, patterns of scheduled follow-up appointments upon discharge are poorly described. We aimed to characterize real-world patterns of scheduled follow-up appointments among adult patients with heart failure upon hospital discharge. Patients and methods This was a retrospective cohort study performed at a large urban academic center in the United States among adults hospitalized with a principal diagnosis of congestive heart failure between January 1, 2013, and December 31, 2014. Patient demographics, administrative data, clinical parameters, echocardiographic indices, and scheduled postdischarge outpatient follow-up appointments were collected. Results Of the 796 patients hospitalized for heart failure, just over half of the cohort had a scheduled follow-up appointment upon discharge. Follow-up appointments were less likely among patients who were white and had heart failure with preserved ejection fraction and more likely among patients with Medicaid and chronic obstructive pulmonary disease. In an adjusted multivariable regression model, age ≥65 years was inversely associated with a scheduled follow-up appointment upon hospital discharge, despite higher rates of several cardiovascular and noncardiovascular comorbidities. Conclusion Just half of the patients discharged home following a hospitalization for heart failure had a follow-up appointment scheduled, representing a missed opportunity to provide a recommended care transition intervention. Despite a greater burden of both cardiovascular and noncardiovascular comorbidities, older adults (age ≥65 years) were less likely to have a follow-up appointment scheduled upon discharge compared with younger adults, revealing a disparity that warrants further investigation.
Improving pore extraction in high resolution fingerprint images using spatial analysis

Pore extraction appears to play an important role in high resolution partial fingerprint recognition and in applications involving large population or high security levels. In this paper, we introduce a novel pore extraction approach which takes into account a new relation concerning their spatial and photometric dependence. This relation is given locally by analyzing distinct pores according to their distance and contrast. We evaluate our approach on high resolution pore extraction database and in an application involving partial fingerprint alignment. The proposed segmentation has proved to be quite general, simple and can accurately extract fingerprint pores in real images with different ridge and valley widths. It is also very robust to noise and according to the considered experiments outperforms well-known state-of-art methods.
Welfare States, Cultural Values and Women's Precarious Work:

While it is well-established that Canadian women are more likely to experience precarious work and the prevalence of this is increasing, greater attention needs to be paid to the contributions that social theory can make to both understanding and responding to this issue. This paper considers recent developments in both welfare state and cultural values theory to provide a framework to explain and respond to women's precarious work situations. Canada's being a liberal welfare state contributes to this problematic situation, but cultural values concerning women's roles may also shapes and maintains this condition. Drawing upon theoretical insights from Esping-Andersen on the welfare state and Pfau-Effinger on cultural values, various means of both understanding and improving the situation are presented.
Wavelet Bases Adapted to Pseudodifferential Operators

Abstract This paper is concerned with the numerical treatment of pseudodifferential equations in R 2 , employing wavelet Galerkin methods. We construct wavelet bases adapted to a given pseudodifferential operator in the sense that functions on different refinement levels are orthogonal with respect to a certain bilinear form induced by the operator.
Household equivalence scales, poverty and inequality in Indonesia : three essays

This study addresses the issue of differences in resource requirements for adults and children in analyzing poverty and income inequality. Sensitivity of poverty and inequality measures for two different equivalence scales are discussed using Indonesian socio-economic survey. Essay one, "Estimation of Equivalence Scales for Indonesia," presents estimates for the two most widely used scales Engel and Rothbarth by urban/rural residence and sex of children. We found that scale values are higher in rural areas implying that rural parents have to forego a larger proportion of their resources for nurturing a child compared to their urban counterparts. But the absolute cost is larger in urban areas because of higher total household expenditures. The estimates also provide evidence of economies of scale in consumption. Like previous studies, we also found a large difference between the Engel and Rothbarth scales. Essay two, "Aspects of Poverty in Indonesia: A Decomposition Analysis," analyses the incidence of poverty and contribution to total poverty from different demographic and socio-economic groups using a decomposable poverty index. Three different poverty thresholds per-capita, Engel scaleadjusted, and Rothbarth scale-adjusted were used to take into account the effect of family size in poverty. We found that poverty measurement is
RESONANT MODES AND LASER SPECTRUM OF MICRODISK LASERS

A theory for quantitative analysis of microdisk laser emission spectra is presented. Conformal mapping is used to determine the radial and azimuthal eigenvalues and eigenvectors corresponding to leaky optical modes in the disk. The results are compared with experimental data obtained from a 0.8 μm radius InGaAs/InGaAsP quantum well microdisk laser.
Leveraging technology evolution for better and sustainable cities

Everywhere we see municipalities setting up projects for Smart Cities. It has become a sort of a "mantra" word. But when we look at their plans we get different perspectives on what they call a "smart city". Sometimes they refer to smoother traffic, rational use of energy, sometimes to garbage recycling, sometimes to a healthier environment, . These are all "improvements" and obviously desirable ones. However, what is it that characterizes a city to the point of being called Smart? In this paper I claim that it is awareness of the infrastructure and the capability to increase awareness of people living there. In an ideal world we already have all the technologies we need to create awareness of designing our cities from scratch. This is what is being done in places like Songdu and Masdar. But in "our world" we already have cities and the challenge is to evolve them in an economically sustainable way in synch with their inhabitants expectations, needs and desires. We can leverage technology evolution for this as well. And this is the focus of my talk. How can we make use of technologies like embedded electronics, screens, data harvesting and analyses (big data) and infrastructures like LTE with its native IP to evolve our cities into smarter places where people love to live. In doing that I'll make reference to some particular examples, like the projects in Italy on the Smart Cities Cluster and in projects in the EIT ICT LABS framework.
Mortality by baseline CD4 cell count among HIV patients initiating antiretroviral therapy: evidence from a large cohort in Uganda

Objective:Evaluations of CD4 cell count and other prognostic factors on the survival of HIV patients in sub-Saharan Africa are extremely limited. Funders have been reticent to recommend earlier initiation of treatment. We aimed to examine the effect of baseline CD4 cell count on mortality using data from HIV patients receiving combination antiretroviral therapy (cART) in Uganda. Design:Observational study of patients aged at least 14 years enrolled in 10 clinics across Uganda for which The AIDS Support Organization (TASO) has data. Methods:CD4 cell count was stratified into categories (<50, 50–99, 100–149, 150–199, 200–249, 250–299, ≥300 cells/μl) and Cox proportional hazards regression was used to model the associations between CD4 cell count and mortality. Results:A total of 22 315 patients were included. 1498 patients died during follow-up (6.7%) and 1433 (6.4%) of patients were lost to follow-up. Crude mortality rates (CMRs) ranged from 53.8 per 1000 patient-years [95% confidence interval (CI) 48.8–58.8] among those with CD4 cell counts of less than 50, to 15.7, (95% CI 12.1–19.3) among those with at least 300 cells/μl. Relative to a baseline CD4 cell count of less than 50 cells/μl, the risk of mortality was 0.75 (95% CI 0.65–0.88), 0.60 (95% CI 0.51–0.70), 0.43 (0.37–0.50), and 0.41 (0.33–0.51) for those with baseline CD4 cell counts of 50–99, 100–149, 150–249, and ≥250 cells/μl, respectively. Conclusion:Earlier initiation of cART is associated with increased survival benefits over deferred treatment.
Public Loss of Confidence in the U.S. Government: Implications for Higher Education.

The unsatisfactory status of higher education in the United States has many explanations, such as the declining value of scholarship and academic ethos and the neglect of teaching obligations in favor of research duties. This paper posits another theory for the skepticism toward academic institutions the general loss of confidence of the American people toward their government. This general feeling of distrust is described in terms of a disease in which the most influential institution, the government, becomes infected first, followed by similar infections to the other institutions. The relationships between the federal government and the academic institutions, between the public and the learning establishments, and the effects of the mass media are discussed, including problems of the professorate and the tension that has developed between teaching and research obligations. The paper concludes with a call to faculty to take advantage of the current change in the political climate and act toward changing the general atmosphere surrounding academia. (Contains 41 references.) (GLR) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. *********************************************************************** T-4) tef (At o-rvosfe PUBLIC LOSS OF CONFIDENCE IN THE US GOVERNMENT: IMPLICATIONS FOR HIGHER EDUCATION Ronit Bogler Visiting Scholar Department of Sociology Stanford University Stanford, CA 94305-2047 e-mai1:bogler@leland.stanford.edu PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY Ronit Bogler TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) U S. DEPARTMENT OF EDUCATION Otke of Educafional Research and Invroyeme. -il EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) C.1-Ats document has been reproduced as . eceilred trom the DerSOn or organ.zahon or,onat.ng 4 MnO, changes have peen made to improve . eproduct.on duatily Po nts of new or opinions stated . n this docu rhent do not necessarily represent ott.c. a, OE RI posil.on or pohpy Paper presented at the annual meeting of the American Educational Research Association Atlanta, GA April 1993