Miracle-dz/UniFAR-FTUs huggingface dataset:
Gametools-4-d4.2-02-1-1- Report on Multiresolution Models Tgametools-4-d4.2-02-1-1- Report on Multiresolution Modelsttt Report on the Multiresolution Models Delivery Slip Name Partner Date Signature from Document Log Issue Date Comment Author Document Change Record Issue Item Reason for Change Files

This technical report describes the different algorithms used on the implementation of the Geometry module. IST-2-004363 RESTRICTED RE Doc. Identifier: TGameTools-4-D4.2-02-1-1Report on Multiresolution ModelsTTT REPORT ON THE MULTIRESOLUTION MODELS Date: 04/10/2005 IST-2-004363 RESTRICTED RE Delivery Slip Name Partner Date Signature From Miguel Chover UJI 24-08-2005 Reviewed by Moderator and reviewers ALL Approved by Moderator and reviewers ALL Document Log Issue Date Comment Author 1-0 20-09-2005 First draft Miguel Chover 1-1 03-10-2005 Final Version Miguel Chover Document Change Record Issue Item Reason for Change Files Software Products User files / URL Word gametools-ist-2-004363-4-d4.2-02-1-1-report on the multiresolution models.doc (use “update field” Word function)
INSTITUTIONS AND ECONOMIC POLICIES FOR PRO-POOR AGRICULTURAL GROWTH

"This paper draws together findings from different elements of a research project examining critical components of pro-poor agricultural growth and of policies that can promote such growth in poor rural economies in South Asia and Sub-Saharan Africa. Agricultural growth, a critical driver in poverty reducing growth in many poor agrarian economies in the past, faces many difficulties in today's poor rural areas in South Asia and Sub-Saharan Africa. Some of these difficulties are endogenous to these areas while others result from broader processes of global change. Active state interventions in 'kick starting' markets in 20th century green revolutions suggest that another major difficulty may be current policies which emphasize the benefits of liberalization and state withdrawal but fail to address critical institutional constraints to market and economic development in poor rural areas. This broad hypothesis was tested in an analysis of the returns (in agricultural growth and poverty reduction) to different government spending in India over the last forty years. The results reject the alternate hypothesis underlying much current policy, that fertilizer and credit subsidies, for example, depressed agricultural growth and poverty reduction in the early stages of agricultural transformation. The results show initially high but then declining impacts from fertilizer subsidies; high benefits from investment in roads, education and agricultural RD low impacts from power subsidies; and intermediate impacts from irrigation investments. These findings demand a fundamental reassessment of policies espousing state withdrawal from markets in poor agrarian economies. Given widespread state failure in many poor agrarian economies today, particularly in Africa, new thinking is urgently needed to find alternative ways of 'kick starting' markets ways which reduce rent seeking opportunities, promote rather than crowd-out private sector investment, and allow the state to withdraw as economic growth proceeds. Authors' Abstract
Maximum Velocities in Flexion and Extension Actions for Sport

Abstract Speed of movement is fundamental to the outcome of many human actions. A variety of techniques can be implemented in order to maximise movement speed depending on the goal of the movement, constraints, and the time available. Knowing maximum movement velocities is therefore useful for developing movement strategies but also as input into muscle models. The aim of this study was to determine maximum flexion and extension velocities about the major joints in upper and lower limbs. Seven university to international level male competitors performed flexion/extension at each of the major joints in the upper and lower limbs under three conditions: isolated; isolated with a countermovement; involvement of proximal segments. 500 Hz planar high speed video was used to calculate velocities. The highest angular velocities in the upper and lower limb were 50.0 rad·s-1 and 28.4 rad·s-1, at the wrist and knee, respectively. As was true for most joints, these were achieved with the involvement of proximal segments, however, ANOVA analysis showed few significant differences (p<0.05) between conditions. Different segment masses, structures and locations produced differing results, in the upper and lower limbs, highlighting the requirement of segment specific strategies for maximal movements.
Localization of Executive Functions in Dual-Task Performance with fMRI

We report a study that investigated the neuroanatomical correlates of executive functions in dual-task performance with functional magnetic resonance imaging. Participants performed an auditory and a visual three-choice reaction task either separately as single tasks or concurrently as dual tasks. In the dual-task condition, two stimuli were presented in rapid succession to ensure interference between the component tasks (psychological refractory period). The behavioral data showed considerable performance decrements in the dual-task compared to the single-task condition. Dual-task-related activation was detected with two different neuroimaging methods. First, we determined dual-task-related activation according to the method of cognitive subtraction. For that purpose, activation in the dual-task was compared directly with activation in the single-task conditions. This analysis revealed that cortical areas along the inferior frontal sulcus (IFS), the middle frontal gyrus (MFG), and the intraparietal sulcus (IPS) are involved in dual-task performance. The results of the subtraction method were validated with the method of parametric manipulation. For this purpose, a second dual-task condition was introduced, where the difficulty of the dual-task coordination was increased compared with the first dual-task condition. As expected, behavioral dual-task performance decreased with increased dual-task difficulty. Furthermore, the increased dual-task difficulty led to an increase of activation in those cortical regions that proved to be dual-task related with the subtraction method, that is, the IFS, the MFG, and the IPS. These results support the conclusion that dorsolateral prefrontal and superior parietal cortices are involved in the coordination of concurrent and interfering task processing.
Cerebral Activations Related to Writing and Drawing with Each Hand

Background Writing is a sequential motor action based on sensorimotor integration in visuospatial and linguistic functional domains. To test the hypothesis of lateralized circuitry concerning spatial and language components involved in such action, we employed an fMRI paradigm including writing and drawing with each hand. In this way, writing-related contributions of dorsal and ventral premotor regions in each hemisphere were assessed, together with effects in wider distributed circuitry. Given a right-hemisphere dominance for spatial action, right dorsal premotor cortex dominance was expected in left-hand writing while dominance of the left ventral premotor cortex was expected during right-hand writing. Methods Sixteen healthy right-handed subjects were scanned during audition-guided writing of short sentences and simple figure drawing without visual feedback. Tapping with a pencil served as a basic control task for the two higher-order motor conditions. Activation differences were assessed with Statistical Parametric Mapping (SPM). Results Writing and drawing showed parietal-premotor and posterior inferior temporal activations in both hemispheres when compared to tapping. Drawing activations were rather symmetrical for each hand. Activations in left- and right-hand writing were left-hemisphere dominant, while right dorsal premotor activation only occurred in left-hand writing, supporting a spatial motor contribution of particularly the right hemisphere. Writing contrasted to drawing revealed left-sided activations in the dorsal and ventral premotor cortex, Broca’s area, pre-Supplementary Motor Area and posterior middle and inferior temporal gyri, without parietal activation. Discussion The audition-driven postero-inferior temporal activations indicated retrieval of virtual visual form characteristics in writing and drawing, with additional activation concerning word form in the left hemisphere. Similar parietal processing in writing and drawing pointed at a common mechanism by which such visually formatted information is used for subsequent sensorimotor integration along a dorsal visuomotor pathway. In this, the left posterior middle temporal gyrus subserves phonological-orthographical conversion, dissociating dorsal parietal-premotor circuitry from perisylvian circuitry including Broca's area.
2015 Senior Thesis Project Reports State-of-the-art, Real-time, Interactive Twitter Sentiment Analysis Using Machine Learning . . . . . 1 State-of-the-art, Real-time, Interactive Twitter Sentiment Analysis Using Machine Learning Author Sabih Bin Wasi Table of Contents

This technical report collects the final reports of the undergraduate Computer Science majors from the Qatar Campus of Carnegie Mellon University who elected to complete a senior research thesis in the academic year 2014–15 as part of their degree. These projects have spanned the students' entire senior year, during which they have worked closely with their faculty advisors to plan and carry out their projects. This work counts as 18 units of academic credit each semester. In addition to doing the research, the students presented a brief midterm progress report each semester, presented a public poster session in December, presented an oral summary in the year-end campus-wide Meeting of the Minds and submitted a written thesis in May. work and helped me achieve the high system performance on time. Also, I am grateful to my friends Rukhsar Neyaz, Afroz Aziz and Abdullah Zafar for motivating me throughout. This work wouldn't have been possible without the support of my parents who allowed me to fly away from home and always encouraged me to participate in research activities. Abstract With more than 500M tweets sent per day containing opinions and messages, Twitter has become a gold­mine for organizations to monitor their brand reputations and analyze their performance and public sentiments about their products. In this work, we present our efforts in building a machine learning based system for sentiment analysis of Twitter messages. Our system takes as input an arbitrary tweet and assigns it to one of the following classes that best reflects its sentiment: positive, negative or neutral. We adopt a supervised text classification approach and use a combination of published­proven features and novel features. Our system outperforms the state­of­the­art systems, especially those tested on the SemEval 2014 testset. Using our prediction model, we also build an interactive visualization tool that uses standard design principles to provide interpretation and trust to the big­data fed into the system. Our system can handle Twitter sentiment analysis of millions of Tweets in pseudo real­time. Furthermore we give an extra emphasis to the adaptive nature of the tool in order to enable brand managers dig deep into patterns found in visualizations ­­ resulting in effective public sentiment monitoring on social media.
An X-band low-power CMOS low noise amplifier with transformer inter-stage matching networks

This paper presents a low-power low noise amplifier (LNA) using standard 0.18-μm CMOS technology for X-band satellite receiver applications. Two-stage common source configuration with transformer matching network is chosen to achieve low power, low noise, and compact size while maintaining reasonable gain performance. The measured small signal gain is 13.4 dB at 11 GHz with low power consumption of 4.8 mW from a 1 V supply voltage. The chip size is 0.44 mm2. With noise match at the first stage, the measured noise figure (NF) of the LNA is 3.41 dB at 11 GHz. Compared to previously reported X-band LNA in 0.18-μm CMOS process, the presented LNA demonstrates the highest FOM.
The Global Organic Food Market and Transformation. A Conceptual Theoretical Framework

The present study is part of the project “Public Policies and Demand for Organic Food: An International Comparison of Policy Effects and Policy Determinants” (COP). It is carried out in WP II that concerns the supply-side policies and demand. In the WP it is an initial task to formulate a theoretical approach as the conceptual framework to be used in comparative studies. The present study will be the foundation for the conceptual framework. It investigates contributions from various economic theories and extracts core theoretical fragments into a framework suitable for analysing the evolution of organic agriculture. In the conclusion the study is presenting a basis for indicators that can be used for comparative studies. It is underlined that the indicators are tentative and that they have to be tested and adjusted in future studies.
The ballistic nanotransistor: a simulation study

The device design and physics issues of ballistic double-gate (DG) MOSFETs are explored using semiclassical and quantum simulations. We find that tunneling from source-to-drain increases the off-current but decreases the on-current for an L=10 nm model transistor. We also show that source-to-drain tunneling sets a scaling limit at less than about L=10 nm, but to achieve this limit, ultra-thin bodies are necessary to control classical two-dimensional short-channel effects. Finally, we show that to meet performance targets at low voltages, near-ballistic performance is necessary, and we estimate the mobility that will be required for these ultra-thin silicon films.
Is Oprah Contagious? Identifying Demand Spillovers in Product Networks

We study the online contagion of exogenous demand shocks generated by book reviews featured on the Oprah Winfrey TV show and published in the New York Times, through the co-purchase recommendation network on Amazon.com. These exogenous events may ripple through and affect the demand for a network of related books that were not explicitly mentioned in a review but were located close to reviewed books in this network. Using a difference-in-differences matched-sample approach, we identify the extent of the variations caused by the visibility of the online network and distinguish this effect from variation caused by hidden product complementarities. Our results show that the demand shock diffuses to books that are up to five links away from the reviewed book, and that this diffused shock persists for a substantial number of days, although the depth and the magnitude of diffusion varies widely across books at the same network distance from the focal product. We then analyze how product characteristics, assortative mixing and local network structure, play a role in explaining this variation in the depth and persistence of the contagion. Specifically, more clustered local networks trap the diffused demand shocks and cause it to be more intense and of a greater duration but restrict the distance of its spread, while less clustered networks lead to wider contagion of a lower magnitude and duration. Our results provide new evidence of the interplay between a firms online and offline media strategies and we contribute methods for modeling and analyzing contagion in networks.
Can State Owned Enterprises Restructure ? Theory and Evidence from China ( Preliminary , Comments welcome )

State Owned Enterprises (SOEs) are often the recipients of preferential treatment from the state including bailouts in periods of financial stress, access to cheap inputs, etc. These connections between SOEs and the state thus enable unproductive SOEs to avoid restructuring (Kornai, 1990; 1992, Part III). However, Chinese reforms for restructuring SOEs announced during the Fifteenth Pary Congress in 1997 have been followed by impressive gains in SOEs’ profitability in the manufacturing sector during 1998-2007. We develop a new method for analyzing firm-level labor share dynamics that enables us to evaluate whether the SOEs successfully restructured. We find that the SOEs were under declining political pressure to hire excess labor, and also had increasingly preferential access to cheap capital for financing investment during 1998-2007. Because the elasticity of substitution between capital and labor is greater than one in Chinese manufacturing sectors, lower political pressure to hire excess labor in combination with subsidies for capital have enabled SOEs to become more profitable by cutting labor and drastically decreasing labor capital ratios; these gains in profitability, however, were not driven by strong improvements in total factor productivity.
Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks

This paper compares the predictive performance of artificial neural networks (ANN) and multiple regression analysis (MRA) for single family housing sales. Multiple comparisons are made between the two data models in which the data sample size is varied, the funcional specifications is varied, and the temporal prediction is varied. We conclude that ANN performs better than MRA when a moderate to large data sample size is used. For our application, this "moderate to large data sample size" varied from 13% to 39% of the total data sample (506 to 1506 observations out of 3906 total observations). Our results give a plausible explanation why previous papers have obtained varied results when comparing MRA and ANN predictive performance for housing values.
Productivity growth, R&D and the rôle of international collaborative agreements: some évidence for Belgian manufacturing companies

Using Belgian firm level data on R&D and productivity, this paper provides further evidence on the important role of knowledge in explaining performance at the firm level, by augmenting the classical productivity growth approach not only with own R&D expenditures, but also with R&D cooperation. Taking the view that co-operation in R&D gives access to external know-how, the paper provides a new view on the mechanisms through which R&D spillovers may impact firm's output growth. Given the small open character of the Belgian economy, we focus especially on international technology diffusion and the role of cooperation with partners abroad. Beyond own R&D, the analysis shows support for international R&D cooperation to significantly improve firm productivity growth and more in particular, international cooperation with customers, suppliers or other companies, which reflects more applied international R&D co-operative activities. We further explored the role of international co-operative agreements, and more particularly whether it is used as a mechanism to access externally available know- how. Our proxies for available external know-how which (foreign) cooperation would give access to, did not provide conclusive evidence on R&D cooperation as a channel of transfer for knowledge spillovers. Overall, international R&D co-operation significantly increases a firm's output growth. However, the exact mechanisms how this cooperation enhances firm performance need further investigation.
History of Defect Prediction 1970 s 1980 s 1990 s 2000 s 2010 s

Software defect prediction is one of the most active research areas in software engineering. Defect prediction results provide the list of defect-prone source code artifacts so that quality assurance teams can effectively allocate limited resources for validating software products by putting more effort on the defect-prone source code. As the size of software projects becomes larger, defect prediction techniques will play an important role to support developers as well as to speed up time to market with more reliable software products. In this survey, we first introduce the common defect prediction process used in the literature and how to evaluate defect prediction performance. Second, we compare different defect prediction techniques such as metrics, models, and algorithms. Third, we discuss various approaches for cross-project defect prediction that is an actively studied topic in recent years. We then discuss applications on defect prediction and other emerging topics. Finally, based on this survey, we identify challenging issues for the next step of the software defect prediction.
Excitability Gyrus : A Potential Role in Regulation of Granule Cell Nicotinic Receptors on Local Circuit Neurons in Dentate

http://www.the-aps.org/. Copyright © 2003 by the American Physiological Society. ISSN: 0022-3077, ESSN: 1522-1598. Visit our website at times a year (monthly) by the American Physiological Society, 9650 Rockville Pike, Bethesda MD 20814-3991. publishes original articles on the function of the nervous system. It is published 12 Journal of Neurophysiology by gest on A uust 8, 2016 http://jnsiology.org/ D ow nladed fom
Effect of Globalization on Sovereignty of States

We had lived in a world of essentially unchallenged sovereignty for several generations now, and had begun to think of it as the natural state of affairs. However, the idea of states as autonomous, independent entities is collapsing under the combined onslaught of monetary unions, global television CNN, the Internet, governmental and non-governmental organizations. In this article, we intend to examine the effect of globalization on the notion and incidence of sovereignty of states and how nation states have adapted to the new challenges of globalization. Governments and activists alike complain that multilateral institutions such as the United Nations, the World Trade Organization, and the International Monetary Fund overstep their authority by promoting universal standards for everything, which in turn alter the scope of state authority. It is our intention to consider just how much globalization has affected state authority.
Geophysicae Why is there more ionosphere in January than in July ? The annual asymmetry in the F 2-layer

Adding together the northern and southern hemisphere values for pairs of stations, the combined peak electron densityNmF2 is greater in December-January than in June–July. The same applies to the total height-integrated electron content. This “F2-layer annual asymmetry” between northern and southern solstices is typically 30%, and thus greatly exceeds the 7% asymmetry in ion production due to the annual variation of Sun-Earth distance. Though it was noticed in ionospheric data almost seventy years ago, the asymmetry is still unexplained. Using ionosonde data and also values derived from the International Reference Ionosphere, we show that the asymmetry exists at noon and at midnight, at all latitudes from equatorial to sub-auroral, and tends to be greater at solar minimum than solar maximum. We find a similar asymmetry in neutral composition in the MSIS model of the thermosphere. Numerical computations with the Coupled ThermosphereIonosphere-Plasmasphere (CTIP) model give a much smaller annual asymmetry in electron density and neutral composition than is observed. Including mesospheric tides in the model makes little difference. After considering possible explanations, which do not account for the asymmetry, we are left with the conclusion that dynamical influences of the lower atmosphere (below about 30 km), not included in our computations, are the most likely cause of the asymmetry.