Miracle-dz/UniFAR-FTUs huggingface dataset:
Research Paper: The Role of Domain Knowledge in Automating Medical Text Report Classification

OBJECTIVE To analyze the effect of expert knowledge on the inductive learning process in creating classifiers for medical text reports. DESIGN The authors converted medical text reports to a structured form through natural language processing. They then inductively created classifiers for medical text reports using varying degrees and types of expert knowledge and different inductive learning algorithms. The authors measured performance of the different classifiers as well as the costs to induce classifiers and acquire expert knowledge. MEASUREMENTS The measurements used were classifier performance, training-set size efficiency, and classifier creation cost. RESULTS Expert knowledge was shown to be the most significant factor affecting inductive learning performance, outweighing differences in learning algorithms. The use of expert knowledge can affect comparisons between learning algorithms. This expert knowledge may be obtained and represented separately as knowledge about the clinical task or about the data representation used. The benefit of the expert knowledge is more than that of inductive learning itself, with less cost to obtain. CONCLUSION For medical text report classification, expert knowledge acquisition is more significant to performance and more cost-effective to obtain than knowledge discovery. Building classifiers should therefore focus more on acquiring knowledge from experts than trying to learn this knowledge inductively.
The effect of iron spin transition on electrical conductivity of (Mg,Fe)O magnesiowüstite

We measured the electrical conductivity of Mg0.81Fe0. 19O magnesiowüstite, one of the important minerals comprising Earth’s lower mantle, at high pressures up to 135 GPa and 300 K in a diamond-anvil cell (DAC). The results demonstrate that the electrical conductivity increases with increasing pressure to about 60 GPa and exhibits anomalous behavior at higher pressures; it conversely decreases to around 80 GPa and again increases very mildly with pressure. These observed changes may be explained by the high-spin to low-spin transition of iron in magnesiowüstite that was previously reported to occur in a similar pressure range. A very small pressure effect on the electrical conductivity above 80 GPa suggests that a dominant conduction mechanism changes by this electronic spin transition. The electrical conductivity below 2000-km depth in the mantle may be much smaller than previously thought, since the spin transition takes place also in (Mg,Fe)SiO3 perovskite.
A Content Specification for Business Process Models

Business process modeling is an essential prerequisite to business process reengineering (BPR), and workflow management (WFM). Process models have been traditionally used to model software processes, and many business process models are adaptations of these process models. Using these process models to represent business processes results in two problems. First, since these process models usually represent different perspectives of systems (or in this case, businesses) the user needs to integrate multiple existing models to completely represent the business processes. This reduces the ease of use, and leads to a lower acceptance by users. Second, business processes contain concepts not found in software processes (e.g., physical objects, roles, etc.). Traditional process models cannot represent these new concepts, and hence traditional process models model business processes inadequately. These two problems can be easily solved if a comprehensive business process model exists, that models all perspectives of a business process, and that allows representation of these new concepts. As a first step towards this goal, we propose a content specification that would need to be satisfied by such a business process model. The primary contribution of this work is a comprehensive content specification for a business process model that will solve the two problems listed above. This content specification also serves as a framework to analyze process models in detail, and to compare them based on their content (i.e., what concepts they model) and the degree to which they model each aspect of a business process (i.e., how much of a business process they model).
Exercises with computer vs. Exercises in paper: a comparative study

This article presents the results of a research in the classroom in the subject Programming I, initial course of computer programming in Systems Engineering and Computing. The research pretend to approach the impact of two methodologies of problem solving based on programming logic and the use of programming languages for its implementation. We use a qualitative perspective, as far as the students' performance as programmers, and quantitative, in what corresponds to the qualification of the written evaluations. It has been used to structure two parallel courses, using different methodologies for solving programming problems. With the first group, a methodology was implemented based on the conceptual resolution of these problems using solutions on paper and with the other one we use resolution of problems based on the intensive use of the computer. The results show a very interesting trend that allows us to make some important inferences regarding the promotion of logic and the approach of solutions in the paper against the use of the computer and the deepening in the purely technological knowledge. Conclusions leave open doors of the discussion about the different and possible ways that the students of programming to appropriate, assimilate and apply the own knowledge of this area
Real-time predictive control of a brachiation robot

The present work addresses the problem of real time predictive control of a brachiation robot, considering that the robot is constrained and a multivariable system, which implies a very difficult problem due to the large amount of on-line computation that is required. We show that it is not possible to consider the nonlinear model-based MPC under real-time constraints. Furthermore, to overcome this problem we present a linearized model-based MPC, which is able to be handled under real-time constraints.
Reconstitution of constitutive secretion using semi-intact cells: regulation by GTP but not calcium

Regulated exocytosis in many permeabilized cells can be triggered by calcium and nonhydrolyzable GTP analogues. Here we examine the role of these effectors in exocytosis of constitutive vesicles using a system that reconstitutes transport between the trans-Golgi region and the plasma membrane. Transport is assayed by two independent methods: the movement of a transmembrane glycoprotein (vesicular stomatitis virus glycoprotein [VSV G protein]) to the cell surface; and the release of a soluble marker, sulfated glycosaminoglycan (GAG) chains, that have been synthesized and radiolabeled in the trans-Golgi. The plasma membrane of CHO cells was selectively perforated with the bacterial cytolysin streptolysin-O. These perforated cells allow exchange of ions and cytosolic proteins but retain intracellular organelles and transport vesicles. Incubation of the semi-intact cells with ATP and a cytosolic fraction results in transport of VSV G protein and GAG chains to the cell surface. The transport reaction is temperature dependent, requires hydrolyzable ATP, and is inhibited by N-ethylmaleimide. Nonhydrolyzable GTP analogs such as GTP gamma S, which stimulate the fusion of regulated secretory granules, completely abolish constitutive secretion. The rate and extent of constitutive transport between the trans-Golgi and the plasma membrane is independent of free Ca2+ concentrations. This is in marked contrast to fusion of regulated secretory granules with the plasma membrane, and transport between the ER and the cis-Golgi (Beckers, C. J. M., and W. E. Balch. 1989. J. Cell Biol. 108:1245-1256; Baker, D., L. Wuestehube, R. Schekman, and D. Botstein. 1990. Proc. Natl. Acad. Sci. USA. 87:355-359).
Refinement of fuzzy rule weights with particle swarm optimisation

The most challenging problem in the design of fuzzy rule-based classification systems is the construction of a fuzzy rule base for the target problem. Much research has focused on generating and adjusting antecedent fuzzy sets. In many cases, initial fuzzy sets, each of which has a linguistic meaning, are predefined by domain experts and are thus required to be maintained in order to ensure interpretability of any subsequent inference results. However, learning fuzzy rules using fixed fuzzy quantity space without any quantification will restrict the accuracy of the resulting rules. Fortunately, adjusting the weight of a fuzzy if-then rule may help improve classification accuracy without degrading the interpretability. There have been different proposals for fuzzy rule weight tuning through the use of various heuristics with limited success. This paper proposes an alternative approach using Particle Swarm Optimisation in the search of a set of optimal rule weights, which can entail high classification accuracy. The proposed method is initially tested on the iris data set with regard to different predefined fuzzy partitions of linguistic variables to assess its performance. Experimental results demonstrate that the proposed approach is not sensitive to the predefined fuzzy partitions, and can boost classification performance especially when a coarse fuzzy partition is given.
The Irradiation Origin of Beryllium Radioisotopes and Other Short-lived Radionuclides

Two explanations exist for the short-lived radionuclides (T1/2 ≤ 5 Myr) present in the solar system when the calcium-aluminum-rich inclusions (CAIs) first formed. They originated either from the ejecta of a supernova or by the in situ irradiation of nebular dust by energetic particles. With a half-life of only 53 days, 7Be is then the key discriminant, since it can be made only by irradiation. Using the same irradiation model developed earlier by our group, we calculate the yield of 7Be. Within model uncertainties associated mainly with nuclear cross sections, we obtain agreement with the experimental value. Moreover, if 7Be and 10Be have the same origin, the irradiation time must be short (a few to tens of years), and the proton flux must be of order F ~ 2 × 1010 cm-2 s-1. The X-wind model provides a natural astrophysical setting that gives the requisite conditions. In the same irradiation environment, 26Al, 36Cl, and 53Mn are also generated at the measured levels within model uncertainties, provided that irradiation occurs under conditions reminiscent of solar impulsive events (steep energy spectra and high 3He abundance). The decoupling of the 26Al and 10Be observed in some rare CAIs receives a quantitative explanation when rare gradual events (shallow energy spectra and low 3He abundance) are considered. The yields of 41Ca are compatible with an initial solar system value inferred from the measured initial 41Ca/40Ca ratio and an estimate of the thermal metamorphism time (from Young et al.), alleviating the need for two-layer proto-CAIs. Finally, we show that the presence of supernova-produced 60Fe in the solar accretion disk does not necessarily mean that other short-lived radionuclides have a stellar origin.
Capital inflows, Current Accounts, and Exchange Rate Regimes in Central East Europe during and after the Global Financial Crisis

Summary This contribution is concerned with the real economy effects of the current global crisis in Central East Europe. It analyses the way that the global financial crisis has transmitted into Central East Europe (contagion) by focussing on the drying up of capital inflows (in particular foreign direct investment), the worsening of current account imbalances, the role of the exchange rate regimes, and of increasing foreign currency borrowing during the years before the crisis. The analysis shows that the growth and development model of the region, which featured current account deficits financed by capital inflows, served as an accelerator for the adverse effects of contagion in Central East Europe. Countries with a fixed exchange rate to the euro proved to be the countries in the region hit hardest, whereas a flexible exchange rate appears to have acted as a shield against contagion. This casts doubts on the preferability of the planned rapid adoption of the euro in some of the countries in Central East Europe.
Model-Based Reconfiguration of Schema-Based Reactive Control Architectures

Reactive methods of control get caught in local minima. Fortunately schema-based reac-tive control systems have built-in redundancy that enables multiple conngurations with different modes. We describe a model-based method that exploits this redundancy, and, under certain conditions, reconngures schema-based reactive control systems trapped in be-havioral cycles due to the presence of local minima. The qualitative model speciies the functions and modes of the perceptual and motor schemas, and represents the reactive architecture as a structure-behavior-function model. The model-based method monitors the reactive processing, detects failures in the form of be-havioral cycles, analyzes the processing trace, identiies potential modiications, and reconng-ures the reactive architecture. We report on experiments with a simulated robot navigating a complex space.
Industrialization in Cloud Computing with Enterprise Systems: Order-to-Cash Automation for SaaS Products

Industrialization has led to efficiency and effectiveness gains in man- ufacturing industries. Industrialization approaches such as standardization or sourcing are also key concepts in modern service companies. Therefore, current IS research studies how to transfer industrialization approaches to IT service production in order to increase efficiency and effectiveness. Automated and in- tegrated value creation, as supported by ERP systems, have only been limitedly researched in the context of IT service production, although companies see this as an important area of improvement. In this paper, a model of how to automate and integrate an order-to-cash process for providers who offer SaaS products is proposed. The focus lies on the service provisioning process step and the model is evaluated with a prototype implementation. This research has implications for researchers and practitioners alike, as it proposes how to more effectively and efficiently deliver IT services, and uses established IS research to do so.
TELE-INSURING : NEW POSSIBILITIES FOR CUSTOMER-ORIENTATION

AS STRATEGIC IMPERATIVE Clearly, one of the most important strategic imperatives for companies in the financial service sector in general, and especially in the insurance industry is customer-orientation, in particular due to current structural changes in the insurance industry (see empirica 1995; Prokop 1996): + The high intensity of the (Europe-wide) competition, measures of deregulation, and coming along with these structural changes the decline of prices lead-beside the need for cost reductions and low-priced offers-to the necessity to gain new customers in order to expand the quantity of business. + The growing number of concentrations (mergers/acquisitions) in the insurance industry makes high demands on the care of old, in-force business customer relations, and on a coordinated appearance in the market. + The loosing transparency regarding the composition of products, and the ap-propriateness of prices being offered result in high demands on the explanation of products and prices to the customers. + The establishment of specialized and new, partly not from the financial service sector coming insurance companies emphasizes the necessity to demarcate clearly from competitors, and to offer services which take the individual needs of the customers even more into account. Against this background, it seems very likely to think about the potentials of new media, information and communication technologies to improve customer-orientation in the insurance industry. This is all the more true as beside the rationalization of business processes (see Eschner and Nestler 1994). the improvement of His research focuses on the interrelationship between strategy, new organizational structures and the use of new media and communication technologies, especially against the background of knowledge-based competition and in the education business. Other research interests are interorganizational systems, virtual organizations, and knowledge management. research focuses on the use of new media and communication technologies such as Internet and Intranets in companies with an actual focus on trust in Electronic Commerce. Other research interests are Petri Nets, databases, and the philosophical foundations of new media applications. customer-orientation is one of the main goals of underwriters when implementing these new technologies (see Frese and Theuvsen 1996). In addition to that, the financial service sector is one of the earliest users ('pioneers') of any new kind of information technology and therefore best suited for the use of new media and communication technologies, too (see Wieland 1993). The main characteristic of tele-insuring is self service. According to figure 1, two technology/location-driven variants of self service via …
Advanced Packaging and Thermal Management for High Power Density GaN Devices

Gallium Nitride (GaN) High Electron Mobility Transistors (HEMTs) are thermally limited much below the electrical capability of the devices. The unique challenge of a GaN HEMT is its ultra-high heat flux at the micro-scale gate fingers, which cannot be effectively and adequately addressed by conventional packaging and thermal management systems and lead to a large junction-to-ambient thermal resistance. A novel thermal interface material (TIM) that offers unique heat spreading, CTE compliance and ultra-high thermal performance was developed. The new TIM enables attaching GaN die directly onto a copper carrier. The heat spreading feature of the TIM can effectively dissipate heat near junction and greatly reduce the maximum heat flux, which leads to smaller temperature difference across each layer underneath of the TIM. A preliminary demonstration of the technology on a GaN-on-Silicon device shows 50% higher heat dissipation capability, compared to the state-of-the-art pin fin cold plate liquid cooling, while maintaining the device junction temperature at 150°C.
Opportunity recognition in family entrepreneurship: voluntaristic and deterministic orientations of individual cognitions

Abstract This article focuses on the multi-subject opportunity recognition processes in family firms recognizing the mutual impact of individuals and collective cognitions shared by the multiple subjects. In doing so, we propose an interpretative framework based on distinguishing two psychological perspectives: following a deterministic approach, we outline the impact of a collective cognition on individual cognitions of the participants; on the other hand, a voluntaristic approach shows the impact of individuals on collective cognitions in terms of intuition, emotional support, and perception. Specifically, we stress the need of a more voluntaristic approach in family business literature, examining the sources of family members’ heterogeneous individual cognitions. Such differences can be analyzed through the entrepreneurial family vision which encompasses both on a temporal focus prospected future market conditions and the composition of different individual cognitions via a family’s value congruence. We propose that the first element confers a forwarding looking to the prospect on opportunity recognition, while the second one grants to such a prospect a collectively shared understanding.
Localizing non-overlapping surveillance cameras under the L-Infinity norm

This paper presents a new approach to the problem of camera localization with non-overlapping camera views, particularly relevant for video surveillance systems. We show how to recast localization as quasi-convex optimization under the L-Infinity norm. Thereby we add the problem of reconstructing camera centers and 3D points for non-overlapping cameras with known internal parameters and known rotations to the class of known geometric problems solvable with Second Order Cone Programming. The 3D points are never seen by more than one camera, which makes the localization problem ill-posed. Therefore, the proposed approach employs temporal consistency of the 3D points to supply the missing constraints. Our formulation allows a global optimal solution to be found with a clear physical meaning of the cost function being minimized.
ONLINE SERVICES AND CULTURAL DIVERSITY : APPLYING HOFSTEDE ’ S FRAMEWORK TO PREDICT POTENTIAL DESIGN ISSUES

The spread of Internet has brought great opportunities to online service providers, but also new challenges. One is to take the cultural background of the individual customer into account. This paper explores the potential use of Hofstede’s cultural framework as a tool to predict potential issues in cross-cultural service marketing on the Internet. The study was performed through a qualitative analysis of how a total of 47 online services have been shaped in four countries. The results of the evaluation indicate that Hofstede’s cultural framework can be used in a set of tools to design online services.
TicTorque: diagnosing effects of blink tics through mobile EEG headsets

In this work, we aim to explore the use of non-invasive, wearable EEG headsets for detecting and diagnosing the effects of blink tics. First, we demonstrate the use of the headset in the accurate detection of blink tics as compared to more expensive and cumbersome technology. Comparing against invasive facial monitoring techniques using Smartphones, EEG driven detection is able to achieve 80% accuracy in correctly detected events, with a detection delay of less than 1 second. Next, we use these headsets to draw a positive correlation between excessive blinking and deterioration in attention and performance to support past research, and demonstrate that time taken for the same work can increase up to 300% depending on the type of work, due to excessive blinking. Finally, we make a case for applications involving the use of EEG headsets to monitor and aid students and workers with blink tics to ensure equitable time conditions.
Permeability prediction model for imperial smelting furnace based on improved case-based reasoning

An intelligent prediction modeling approach integrating case based reasoning (CBR) with adaptive particle swarm optimization (PSO) is proposed for the permeability index prediction of smelting process in the imperial smelting furnace (ISF), to deal with the difficulties in describing the process with accurate mathematical models and information uncertainty. The case base is constructed directly from the production data. The cases most similar to the target case are retrieved from the case base, whose similarity measure is larger than a pre-specified threshold value. The result of the prediction model is obtained by reusing the solutions of the retrieved cases in weighted averaging. The weighted k-nearest neighbor algorithm (k-NN) is used in case retrieval, where the number of nearest neighbors and the weighted vector of features are optimized online using adaptive PSO to improve the retrieval accuracy of CBR. The experimental results of the industrial field production data show that the improved CBR model is better than the standard CBR and the model accuracy can satisfy the technological requirements.