Miracle-dz/UniFAR-FTUs huggingface dataset:
DRAFT CHAPTER 3 AUTONOMY AND SOCIAL SYSTEMS

About the book: Unlike psychologistic paradigms, the non-atomistic variant of methodological individualism discussed in this book explains society in terms of complex emergent structures that unintentionally result from human actions, and that in turn influence those actions. Friedrich Hayek is an emblematic representative of this approach, the origins of which date back to the Scottish Enlightenment. One of Hayek's most original – but also less well-known – contributions is his linking of this non–atomistic methodological individualism to a cognitive psychology centered on the idea that mind is both an interpretative device and a self-organizing system. This book uses Hayek's reflections on mind as a starting point to investigate the concept of action from the standpoint of non-atomistic methodological individualism, and it explores the connections between Hayek's cognitive psychology and approaches employed in various fields, such as phenomenology, hermeneutics, neo-Weberian sociology and enaction. Focusing on the interpretative foundations of social life, the book conceives action as a product of the human mind's cognitive autonomy, i.e. of its hermeneutic skills.
A motion planner for multiple mobile robots

An algorithm is described for planning the motions of several mobile robots which share the same workspace. Each robot is capable of independent translational motion in two dimensions, and the workspace contains polygonal obstacles. The algorithm computes a path for each robot which avoids all obstacles in the workspace as well as the other robots. It is guaranteed to find a solution if one exists. The algorithm takes a cell decomposition approach, where the decomposition used is based on the idea of a product operation defined on the cells in a decomposition of a two-dimensional free space. This algorithm is being implemented for the case of two robots as part of ongoing research into useful algorithms for task-level programming of the RobotWorld system. <<ETX>>
The Impact of the Change from Partial to Full Foreign Ownership on the Internationalization of Foreign Subsidiaries

SUMMARY This paper aims to study how host country firms' internationalization has been impacted by their foreign owners' achievement of full ownership if the companies were not fully foreign-owned at first. It starts with a review of the existing traditional internationalization literature: the Uppsala model, the innovation-related internationalization models and the Finnish model. Then it reviews other research streams: born global, foreign direct investment (FDI) and network literature and the literature on subsidiary roles. A conceptual framework is developed. Then, after a methodology section, four Estonian casestwo from banking and two from the textiles industryare introduced. After the discussion of the results, some managerial and research implications are drawn.
A fixed frequency dual-mode DC-DC buck converter with fast-transient response and high efficiency over a wide load range

Maintaining high efficiency and achieving fast dynamic response over wide load condition are extremely important in most modern power management applications, and also for various typical load demands. In this paper, we present the design of a fixed frequency hysteretic current (FFHC) controlled dual-mode tri-state dc-dc step-down (Buck) switching regulators/converters for wide load variation. Depending on the load requirements, it can adaptively switch between two operating modes-pseudo-continuous continuous mode (PCCM) to discontinuous conduction mode (DCM) and adjust the switching frequency of operation accordingly. Moreover, based on simplified discretized model or map, we also show that under certain conditions the proposed dual-mode tri-converter is not only useful for achieving the fast dynamic responses under wide load range, but also improve the power conversion efficiency, especially, at light load condition.
Bounded Rationality and Industrial Organization

Conventional economic theory assumes that consumers are fully rational, that they have well-defined preferences and easily understand the market environment. Yet, in fact, consumers may have inconsistent, context-dependent preferences or simply not enough brain-power to evaluate and compare complicated products. Thus the standard model of consumer behavior-which depends on an ideal market in which consumers are boundlessly rational-is called into question. While behavioral economists have for some time confirmed and characterized these inconsistencies, the logical next step is to examine the implications they have in markets. Grounded in key observations in consumer psychology, Bounded Rationality and Industrial Organization develops non-standard models of "boundedly rational" consumer behavior and embeds them into familiar models of markets. It then rigorously analyses each model in the tradition of microeconomic theory, leading to a richer, more realistic picture of consumer behavior. Ran Spiegler analyses phenomena such as exploitative price plans in the credit market, complexity of financial products and other obfuscation practices, consumer antagonism to unexpected price increases, and the role of default options in consumer decision making. Spiegler unifies the relevant literature into three main strands: limited ability to anticipate and control future choices, limited ability to understand complex market environments, and sensitivity to reference points. Although the challenge of enriching the psychology of decision makers in economic models has been at the frontier of theoretical research in the last decade, there has been no graduate-level, theory-oriented textbook to cover developments in the last 10-15 years. Thus, Bounded Rationality and Industrial Organization offers a welcome and crucial new understanding of market behavior-it challenges conventional wisdom in ways that are interesting and economically significant, and which in the end effect the well-being of all market participants. Available in OSO:
Uncovering Multi-mediated Associations in Socio-technical Networks

People interact in a variety of ways, and often choose what media to use based on the relationships they have with their interlocutors. Similarly, there are different ways through which people are associated in socio-technical networks or "online communities. " This paper reports a study that characterizes how the associations between members of a socio-technical network - the Tapped In network of educational professionals - are distributed across various asynchronous media, and what clusters of associations suggest about community structure within this network. The paper also illustrates an application of an analytic framework we are developing for extracting and analyzing interaction and affiliation data from log files. Affiliation networks of actors and media artifacts were constructed in which directed arcs relate actors to the artifacts they read, write or edit. Visualization of these graphs and associated sociometrics demonstrate how affiliations between participants are distributed differently across media types, reflecting the different roles these media play, and revealing community clusters within the network.
Low-complexity lossless compression of hyperspectral imagery via linear prediction

We present a new low-complexity algorithm for hyperspectral image compression that uses linear prediction in the spectral domain. We introduce a simple heuristic to estimate the performance of the linear predictor from a pixel spatial context and a context modeling mechanism with one-band look-ahead capability, which improves the overall compression with marginal usage of additional memory. The proposed method is suitable to spacecraft on-board implementation, where limited hardware and low power consumption are key requirements. Finally, we present a least-squares optimized linear prediction technique that achieves better compression on data cubes acquired by the NASA JPL Airborne Visible/Infrared Imaging Spectrometer (AVIRIS).
The RhoA Activator GEF-H1/Lfc Is a Transforming Growth Factor-β Target Gene and Effector That Regulates α-Smooth Muscle Actin Expression and Cell Migration

TGFβ induces various responses, including Rho signaling. How TGFβ stimulates Rho is poorly understood. Our data indicate that GEF-H1 is a target and effector of TGFβ to regulate Rho signaling, gene expression, and cell migration, suggesting that it represents a new marker and possible therapeutic target for degenerative and fibrotic diseases.
A new feature selection approach in sentiment classification of Internet product reviews

Due to the characteristics of the Internet product reviews, features which can truly represent the Internet product reviews can't be extracted just using traditional feature selection methods in sentiment classification. To address this problem, we propose a feature selection approach, by identifying product aspects, aspect evaluation words and modifiers, to look for more representative features for Internet product reviews. Experimental results show that only using aspect evaluation words and modifiers as features can help SVM classifier work well. The experimental results demonstrate the effectiveness of our proposed approach.
A New Approach to Present Prototypes in Clustering of Time Series

There are considerable advances in clustering time series data in data mining concept. However, most of which use traditional approaches and try to customize the algorithms to be compatible with time series data. One of the significant problems with traditional clustering is defining prototype specially in partitional clustering where it needs centroids as representative of each cluster. In this paper we present a novel effective approach to define the prototypes based on time series nature. The prototype is constructed based on fuzzy concept efficiently. Moreover, it is demonstrated how the prototypes are moved in iterations. We will present the benefits of the proposed prototype by implementing a real application: Customer transactions clustering.
The origin of H I-deficiency in galaxies on the outskirts of the Virgo cluster I. How far can galaxies bounce out of clusters?

Spiral galaxies that are deficient in neutral hydrogen are observed on the outskirts of the Virgo cluster. If their orbits have crossed the inner parts of the cluster, their interstellar gas may have been lost through ram pressure stripping by the hot X-ray emitting gas of the cluster. We estimate the maximum radius out to which galaxies can bounce out of a virialized system using analytical arguments and cosmological N-body simulations. In particular, we derive an expression for the turnaround radius in a flat cosmology with a cosmological constant that is simpler than previously derived expressions. We find that the maximum radius reached by infalling galaxies as they bounce out of their cluster is roughly between 1 and 2.5 virial radii. Comparing to the virial radius of the Virgo cluster, which we estimate from X-ray observations, these H I-deficient galaxies appear to lie significantly further away from the cluster center. Therefore, if their distances to the cluster core are correct, the H I-deficient spiral galaxies found outside of the Virgo cluster cannot have lost their gas by ram pressure from the hot intracluster gas.
Semantic Web Search: Perspectives and Key Technologies

INTRODUCTION Current keyword-based Web search engines (e.g. Google i) provide access to thousands of people for billions of indexed Web pages. Although the amount of irrelevant results returned due to polysemy (one word with several meanings) and synonymy (several words with one meaning) linguistic phenomena tends to be reduced (e.g. by narrowing the search using human-directed topic hierarchies as in Yahoo ii), still the uncontrolled publication of Web pages requires an alternative to the way Web information is authored and retrieved today. This alternative can be the technologies of the new era of the Semantic Web. The Semantic Web, currently using OWL language to describe content, is an extension and an alternative at the same time to the traditional Web. A Semantic Web Document (SWD) describes its content with semantics, i.e. domain-specific tags related to a specific conceptualization of a domain, adding meaning to the document's (annotated) content. Ontologies play a key role to providing such description since they provide a standard way for explicit and formal conceptualizations of domains. Since traditional Web search engines cannot easily take advantage of documents' semantics, e.g. they cannot find documents that describe similar concepts and not just similar words, semantic search engines (e.g. SWOOGLE iii , OntoSearch iv) and several other semantic search technologies have been proposed (e.g. multi-agent P2P ontology-based semantic routing (of queries) systems (Tamma et al, 2004), and ontology mapping-based query/answering systems (Lopez et al, 2006; Kotis & Vouros, 2006, Bouquet et al, 2004). Within these technologies, queries can be placed as formally described (or annotated) content, and a semantic matching algorithm can provide the exact matching with SWDs that their semantics match the semantics of the query. Although the Semantic Web technology contributes much in the retrieval of Web information, there are some open issues to be tackled. First of all, unstructured (traditional Web) documents must be semantically annotated with domain-specific tags (ontology-based annotation) in order to be utilized by semantic search technologies. This is not an easy task, and requires specific domain ontologies to be developed that will provide such semantics (tags). A fully automatic annotation process is still an open issue. On the other hand, SWDs can be semantically retrieved only by formal queries. The construction of a formal query is also a difficult and time-consuming task since a formal language must be learned. Techniques towards automating the transformation of a natural language query to a formal …
Problem Posing Exercises (PPE): An Instructional Strategy for Learning of Complex Material in Introductory Programming Courses

Problem posing refers to the generation of a new problem or a question, by a learner of a given topic. It has been shown to be an effective strategy for learning of complex material in domains such as mathematics. In this study we have defined Problem Posing Exercises (PPE) as a problem posing based instructional strategy to scaffold the learning of complex material and problem solving in a first year undergraduate computer science course (CS1). We implemented PPE in a large CS1 course of 450 students and found that PPE has positive effects on students' learning and engagement. We also examined the differences in effect of PPE for novice and advanced learners and found that PPE has more evident effects on novices than advanced learners.
Distributed MISO system capacity over Rayleigh flat fading channels’

For a distributed multiple input single output (DMISO) system a terminal can be connected to all system antennas, but this leads, obviously, to a high processing capacity requirement, which is not practical. Since capacity increases only slightly with the terminal connection to more antennas, it is important to evaluate the number of antennas that a terminal must be connected to. Thus in this paper we study the ergodic capacity, for the single-user case, and the respective capacity increase by the user connection to K new antennas, over a Rayleigh flat fading channel. For each case we provide an exact closed-form expression and simple to compute upper/lower bounds. Results show that symmetry in the antenna configuration is good since maintains the capacity increase curve approximately flat. They also show that the maximum capacity increase by the connection to K new antennas is obtained when we have all mean SNRpsilas equal, which happens when all antennas are co-located, and not distributed.
Two-loop renormalization for nonanticommutative N = 1/2 supersymmetric WZ model

We study systematically, through two loops, the divergence structure of the supersymmetric WZ model defined on the N = 1/2 nonanticommutative superspace. By introducing a spurion field to represent the supersymmetry breaking term F3 we are able to perform our calculations using conventional supergraph techniques. Divergent terms proportional to F, F2 and F3 are produced (the first two are to be expected on general grounds) but no higher-point divergences are found. By adding ab initio F and F2 terms to the original lagrangian we render the model renormalizable. We determine the renormalization constants and beta functions through two loops, thus making it possible to study the renormalization group flow of the nonanticommutation parameter.
An Investigation into Post-Implementation Success of ERP: An Empirical Study of the Chinese Retail Industry

Significant growth in the Chinese retail industry has boosted utilization of Enterprise Resource Planning (ERP) systems among Chinese retailers. However, due to the weak information infrastructure of organizations and the inherent complexity of ERP systems, many Chinese retailers have encountered difficulties in achieving the benefits at the post-implementation stage of the ERP deployment. The post-implementation success of the ERP is under researched, though. Therefore, based on the Technology-Organization-Environment (TOE) theory, we develop an integrated model of the post-implementation success of ERP, and empirically test it in the Chinese retail industry. The results show that implementation quality and organizational readiness positively affect the post-implementation success of the ERP, while external support does not exert significant impacts. The research and practical implications of the findings are discussed.
Likelihood ratio gradient estimation for stochastic recursions

In this paper, we develop mathematical machinery for verifying that a broad class of general state space Markov chains reacts smoothly to certain types of perturbations in the underlying transition structure. Our main result provides conditions under which the stationary probability measure of an ergodic Harris-recurrent Markov chain is differentiable in a certain strong sense. The approach is based on likelihood ratio ‘change-of-measure' arguments, and leads directly to a ‘likelihood ratio gradient estimator' that can be computed numerically.
CU-GWU Perspective at SemEval-2016 Task 6: Ideological Stance Detection in Informal Text

We present a supervised system that uses lexical, sentiment, semantic dictionaries and latent and frame semantic features to identify the stance of a tweeter towards an ideological target. We evaluate the performance of the proposed system on subtask A in SemEval-2016 Task 6: “Detecting Stance in Tweets”. The system yields an average F β =1 score of 63.6% on the task’s test set and has been ranked the 6 th by the task organizers out of 19 judged systems.
Psychopathology in Adolescent Mothers and its Effects on Mother—Infant Interactions: A Pilot Study

Objective: This study assessed adolescent maternal psychopathology and its relation to the quality of mother–infant interactions. Method: Twenty-one mother-infant pairs recruited from an adolescent medicine clinic were assessed for socio-demographic background, psychosocial adversity, conduct disorder, alcohol or substance dependence, and depression. Dyads were videotaped during free play and their interactions rated using the Crittenden Child–Adult Relational Experimental (CARE) Index. Results: A large proportion of mothers exhibited psychopathology. Severity of maternal depression correlated positively with maternal controllingness and infant difficulty. Severity of maternal antisocial history correlated positively with maternal unresponsiveness and infant passivity. Conclusion: Though preliminary, this work suggests that adolescent maternal depression and antisocial history have different effects on the quality of mother–infant interactions. Researchers and clinicians interested in adolescent parenting should consider psychopathology as a contributing variable to the quality of mother–infant interactions.
Five Compilation Models for C++ Templates Extended Abstract

This paper proposes an alternate structure for C++ compilers. Type analysis is removed from the compiler and replaced with a type system library which is treated as source code by the compiler. Type computations are embedded in the intermediate language of the compiler, and partial evaluation is used to drive type analysis and template instantiation. By making simple changes to the behavior of the partial evaluator, a wide range of compilation models is achieved, each with a distinct tradeo of compile time, code size, and code speed. These models range from purely dynamic typing { ideal for scripting C++ { to pro le-directed template instantiation. This approach may solve several serious problems in compiling C++: it achieves separate compilation of templates, allows template code to be distributed in binary form by deferring template instantiation until run time, and reduces the code bloat associated with templates.
Evaluating the performance of pyrogenic and biogenic emission inventories against one decade of space-based formaldehyde columns

Abstract. A new one-decade (1997–2006) dataset of formaldehyde (HCHO) columns retrieved from GOME and SCIAMACHY is compared with HCHO columns simulated by an updated version of the IMAGES global chemical transport model. This model version includes an optimized chemical scheme with respect to HCHO production, where the short-term and final HCHO yields from pyrogenically emitted non-methane volatile organic compounds (NMVOCs) are estimated from the Master Chemical Mechanism (MCM) and an explicit speciation profile of pyrogenic emissions. The model is driven by the Global Fire Emissions Database (GFED) version 1 or 2 for biomass burning, whereas biogenic emissions are provided either by the Global Emissions Inventory Activity (GEIA), or by a newly developed inventory based on the Model of Emissions of Gases and Aerosols from Nature (MEGAN) algorithms driven by meteorological fields from the European Centre for Medium-Range Weather Forecasts (ECMWF). The comparisons focus on tropical ecosystems, North America and China, which experience strong biogenic and biomass burning NMVOC emissions reflected in the enhanced measured HCHO columns. These comparisons aim at testing the ability of the model to reproduce the observed features of the HCHO distribution on the global scale and at providing a first assessment of the performance of the current emission inventories. The high correlation coefficients (r>0.7) between the observed and simulated columns over most regions indicate a good consistency between the model, the implemented inventories and the HCHO dataset. The use of the MEGAN-ECMWF inventory improves the model/data agreement in almost all regions, but biases persist over parts of Africa and Australia. Although neither GFED version is consistent with the data over all regions, a better agreement is achieved over Indonesia and Southern Africa when GFEDv2 is used, but GFEDv1 succeeds better in getting the correct seasonal patterns and intensities of the fire episodes over the Amazon basin, as reflected in the significantly higher correlations calculated in this region. Although the uncertainties in the HCHO retrievals, especially over fire scenes, can be quite large, this study provides a first assessment about whether the improved methodologies and input data implemented in GFEDv2 and MEGAN-ECMWF lead to better results in the comparisons of modelled with observed HCHO column measurements.