Miracle-dz/UniFAR-FTUs huggingface dataset:
EXTENDING GIROSI’S APPROXIMATION ESTIMATES FOR FUNCTIONS IN SOBOLEV SPACES VIA STATISTICAL LEARNING THEORY

Abstract: An extension of Girosi’s sup-norm approximation error bound using the notion of VC dimension in statistical learning theory is derived for kernel spaces, and in particular, Lp-Sobolev spaces Ls(Rd), 1 ≤ p < ∞, s > 0. Applications include non-asymptotic, uniform error bound approximations of f ∈ Ls(Rd) by finite linear combinations of weighted Gaussians with different centers and variances for 1 ≤ p < ∞, and by Haar scaling functions when p = 2.
Feature Selection using a Genetic Algorithm applied on an Air Quality Forecasting Problem

Feature selection is a process followed in order to improve the generalization and the performance of several classification and/or regression algorithms. Feature selection processes are divided in two categories, the filter and the wrapper approach. The formal is performed independently of the learning algorithm while the later makes use of the algorithm in an iterative way. As [1] describe, the feature weighting algorithms are divided into two categories: the filtering methods and the wrapper methods. The former is a no-feedback, pre-selection approach where the selection of the feature subset is performed independently of the learning algorithm. The later is an iterative method that encapsulates the learning algorithm in the feature selection process.
Music Mood Dataset Creation Based on Last.fm Tags

Music emotion recognition today is based on techniques that require high quality and large emotionally labeled sets of songs to train algorithms. Manual and professional annotations of songs are costly and hardly accomplished. There is a high need for datasets that are public, highly polarized, large in size and following popular emotion representation models. In this paper we present the steps we followed to create two such datasets using intelligence of last.fm community tags. In the first dataset, songs are categorized based on an emotion space of four clusters we adopted from literature observations. The second dataset discriminates between positive and negative songs only. We also observed that last.fm mood tags are biased towards positive emotions. This imbalance of tags was reflected in cluster sizes of the resulting datasets we obtained; they contain more positive songs than negative ones.
Trade creating oder Trade diverting - Ökonomische Perspektiven auf den Abbau technischer Handelshemmnisse in multilateralem oder regionalem Rahmen

Neuere Freihandelsabkommen wie die geplante Transatlantische Handels- und Investitionspartnerschaft (TTIP) beinhalten den Abbau regulatorischer Unterschiede. Die Uberwindung technischer Barrieren verursacht im Unterschied zu klassischen Instrumenten der Handelspolitik wie Zollen und Quoten realen Ressourcenaufwand und generiert keine Renten. Dieser Beitrag prasentiert stilisierte Fakten uuber die Implementierung technischer Barrieren und analysiert aufbauend auf den Erkenntnissen der sog. "neuen neuen" Ausenhandelsliteratur die Wirkungen des Abbaus regulatorischer Fixkosten. Die gegenseitige Anerkennung von Standards fuhrt zu mehr Handel als Harmonisierung von Standards, wenn Konsumenten die Produktvielfalt wichtig ist und/oder die Anpassungskosten, um auf einen gemeinsamen Standard zu kommen, hoch sind. Die theoretischen Uberlegungen werden, wenn moglich,durch empirische Evidenz erganzt.
Body size dimensions in lizard ecological and evolutionary research: exploring the predictive power of mass estimation equations in two liolaemidae radiations

Body size influences patterns of variation in several of the most important traits directly linked to fitness. Therefore, the establishment of informative proxies for body size is a critical aim in ecological and evolutionary research. Among lizards, snout–vent length (SVL) is the most widely used proxy for body size. However, since SVL is a linear measure of size, it fails to capture body shape variation. This limitation is largely resolved by the use of body mass, a multidimensional measure of size that is unfortunately rarely considered and reported. To circumvent this restriction, a classic allometric equation (Pough’s equation) was proposed to convert SVL into mass. Nevertheless, the predictive power of this equation has been assumed rather than empirically tested for almost three decades. In a recent study on lizard size allometries, additional equations were derived for different groups separately, suggesting that more clade-specific equations are likely to perform better. Here, we investigate the precision of these allometric equations using two sister lizard genera (Liolaemus and Phymaturus), members of the Liolaemidae radiation, for which SVL and mass have been measured. We found that our equations differ significantly from the two more general equations primarily in intercepts, while the more clade-specific equation derived for Tropiduridae lizards is fully compatible with our equation for Liolaemus and showed only a borderline statistical difference with Phymaturus. Therefore, although more clade-specific equations may reliably predict body mass, more general equations should be used with caution in lizard ecological and evolutionary research. Previous allometric equations proposed to predict mass from length in other ectotherms should be quantitatively assessed before being employed.
SHAPING SOCIO-ECOLOGICAL TRANSFORMATION: THE CASE FOR INNOVATING GOVERNANCE

How can the dynamic relationship between society, technology and nature be understood in order to derive operational concepts for sustainable development? How can long-term structural change in socio-ecological systems be deliberatedly shaped? These are central questions for industrial transformation research. They also form the background to this paper which discusses some conceptual issues that have emerged from currently ongoing research on the transformation of utility systems in Germany.
APPLICATION OF RULE INDUCTION TO DISCOVER SURVIVAL FACTORS OF PATIENTS AFTER BONE MARROW TRANSPLANTATION

Decision rules are commonly used tool for classification and knowledge discovery in data. The aim of this paper is to provide decision rule-based framework for analysis of survival data and apply it in mining of data describing patients after bone marrow transplantation. The paper presents a rule induction algorithm which uses sequential covering strategy and rule quality measures. An extended version of the algorithm gives the possibility of taking into account user’s requirements in the form of predefined rules and attributes which should be included in the final rule set. Additionally, in order to summarize the knowledge expressed by rule-based model, we propose the rule filtration algorithm which consists in selection of statistically significant rules describing the most disjoint parts of the entire data set. Selected rules are identified with so-called survival patterns. The survival patterns are rules which conclusions contain Kaplan-Meier estimates of survival function. In this way, the paper combines rule-based data classification and description with survival analysis. The efficiency of our method is illustrated with the analysis of data describing patients after bone marrow transplantation. Frequent task in medical research studies is an analysis of gathered research material in terms of searching for some patterns. In addition to statistical methods, data mining and knowledge discovery are becoming more popular for such studies [6]. In this paper, we apply the decision rule induction algorithm to analyze survival data. Decision rule induction [14],[18],[20],[26],[31],[45],[52] is widely used knowledge discovery method applied for pattern identification in data. We use decision rules for two basic aims. One is the prediction of whether the patient would survive longer than given time. The other is the description of patient groups with different survival characteristics. In particular, we present a way of associating decision rules with Kaplan-Meier analysis [30]. We also improve readability of the rule-based model with the use of rule filtration algorithm which selects the rules describing the most disjoint groups of patients. Rule induction algorithms automatically select attributes and ranges of attributes which occur in their premises. This causes the situations in which induced rules not always contain the most important information for a user. We propose a modification of the rule induction algorithm which allows taking into account user’s requirements. These requirements are defined as the initial set of rules and attributes which should be included in the final rule set. The analysis of results obtained by various rule induction algorithms leads to the statement that description and classification abilities of induced rules depend, among others, on measures applied to
Taxonomy : Mobile Malware Threats and Detection Techniques

Since last-decade, smart-phones have gained widespread usage. Mobile devices store personal details such as contacts and text messages. Due to this extensive growth, smart-phones are attracted towards cyber-criminals. In this research work, we have done a systematic review of the terms related to malware detection algorithms and have also summarized behavioral description of some known mobile malwares in tabular form. After careful solicitation of all the possible methods and algorithms for detection of mobile-based malwares, we give some recommendations for designing future malware detection algorithm by considering computational complexity and detection ration of mobile malwares.
EFEKTI TIROFIBANA I PERKUTANE KORONARNE INTERVENCIJE KOD BOLESNlKA STARIJEG ZIVOTNOG DOBA SA AKUTNIM INFARKTOM MIOKARDA I KARDIOGENIM SOKOM EFFECTS OF TIROFIBAN AND PERCUTANEOUS CORONARY INTERVENTION INAN OLD PATIENT WITH ACUTE MYOCARDIAL INFARCTION AND CARDIOGENIC SHOCK

Sazetak Prikazujemo slucaj bolesnika u starosnom dobu od 75 godina sa akutnim infarktom miokarda sa ST elevacijom inferoposteriome lokalizacije i desne komore sa znacima kardiogenog soka, 40 minuta od pocetka bolova u grudima. Nakon adekvatne premedikacije, 35 minuta po prijemu, ucinjena je koronarografija kojom se registruje trosudovna koronama bolest. U istom aktu ucinjena je primama perkutana koronama intervencija sa implantacijorn stenta od nerdajuceg celika prvo u infarktnu desnu koronamu arteriju. a potom i u subokludiranu cirkumfleksnu koronarnu arteriju i dat je tirofiban u bolusnoj velikoj dozi. Procedura je radcn. tokom kardio-pulmonalno-cerebralne reanimacije zbog ponavljanih komorskih fibrilacija, a zavrsena je uspostavljanjem TIMI 3 protoka kroz desnu i cirkumfleksnu koronarnu arteriju i postavljanjem intraaortne balon pumpe. Hospitalni tok bolesnika se kornplikovao prolaznom anernijom i azotemijom, a nakon 6 meseci bolesnik je bio bez tegoba, klase 2/3 prema Njujorskoj asocijaciji za srce uz ehokardiografski zabelezen porast istisne frakcije leve komore za 30%, bez novih nezeljenih kardioloskih dogadaja. Kljucne reci: Transluminalna perkutana koronarna angioplastika; Inhibitori agregacije trombocita; Infarkt miokarda: Kardiogeni sok; Stari Summary A 75 year old man presented in our institutiton with acute inferoposterior and right ventricular ST-segment elevation myocardial infarction and cardiogenic shock, 40 minutes after the pain onset. He was pretreated with 300 mg ofaspirin, 600 mg of clopidogre I, and was taken to the catheterization laboratory. Door to needle time was 35 minutes. Primary percutaneous coronary intervention with bare-metal stent implantation jirst in infarct related right coronary artery, with subsequent high-bolus dose (25 flg/kg) tirojiban, and then in suboccluded RCx were done. The procedures were done during the cardio-pulmo-cerebral reanimation because of relapsing ventricular fibrillation, with jinal TIMI3 coronary flow established. Subsequently, intraaortic balloon pump was inserted. Echocardiography taken on the second day showed globaly hypokinetic left ventricle, with 10% ejection fraction and competent valves. During the next three weeks of hospital follow-up, there were no major adverse cardiac events, a transient azotemia and fall in hemoglobin concentration without major bleeding, and no episodes ofsevere thrombocytopenia were recorded. After six months, the patient was without chest pains, 2/3 class according to the New York Heart Association, without major adverse events, and echocardiographic left ventricular ejection paction increment for 30%.
Numerical Analysis and Scientific Computing Preprint Seria Natural vorticity boundary conditions on solid walls

We derive boundary conditions for the vorticity equation with solid wall boundaries. The formulation uses a Dirichlet condition for the normal component of vorticity, and Neumann type conditions for the tangential components. In a Galerkin (integral) formulation the tangential condition is natural, i.e. it is enforced by a right-hand side functional and does not impose a boundary constraint on trial and test spaces. The functional involves the pressure variable, and we discuss several velocity-vorticity formulations where the proposed condition is appropriate. Several numerical experiments are given that illustrate the validity of the approach.
Timoshenko beam effects in lateral-mode microcantilever-based sensors in liquids

Recent experimental and analytical research has shown that higher in-fluid quality factors (Q) are achieved by actuating microcantilevers in the lateral flexural mode, especially for microcantilevers having larger width-to-length ratios. However, experimental results show that for these geometries the resonant characteristics predicted by the existing analytical models differ from the measurements. A recently developed analytical model to more accurately predict the resonant behaviour of these devices in viscous fluids is described. The model incorporates viscous fluid effects via a Stokes-type fluid resistance assumption and ‘Timoshenko beam’ effects (shear deformation and rotatory inertia). Unlike predictions based on Euler-Bernoulli beam theory, the new theoretical results for both resonant frequency and Q exhibit the same trends as seen in the experimental data for in-water measurements as the beam slenderness decreases. An analytical formula for Q is also presented to explicitly illustrate how Q depends on beam geometry and on beam and fluid properties. Beam thickness effects are also examined and indicate that the analytical results yields good numerical estimates of Q for the thinner (5 μm) specimens tested, but overestimate Q for the thicker (20 μm) specimens, thus suggesting that a more accurate fluid resistance model should be introduced in the future for the latter case.
ignant Intestinal Epithelium

nloaded caudal-related homeobox transcription factor CDX2 has a key role in intestinal development and ntiation. CDX2 heterozygous mutant mice develop colonic polyps, and loss of CDX2 expression is seen ubset of colon carcinomas in humans. Ectopic CDX2 expression in the stomach of transgenic mice tes intestinal metaplasia, and CDX2 expression is frequently detected in intestinal metaplasia in the ch and esophagus. We sought to define CDX2-regulated genes to enhance knowledge of CDX2 function. colorectal cancer cells have minimal endogenous CDX2 expression, and HT-29 cells with ectopic CDX2 sion were generated. Microarray-based gene expression studies revealed that the Multidrug Resistance 1 /P-glycoprotein/ABCB1) gene was activated by CDX2. Evidence that the MDR1 gene was a direct tranonal target of CDX2 was obtained, including analyses with MDR1 reporter gene constructs and chroimmunoprecipitation assays. RNA interference–mediated inhibition of CDX2 decreased endogenous expression. In various colorectal cancer cell lines and human tissues, endogenous MDR1 expression ell correlated to CDX2 expression. Overexpression of CDX2 in HT-29 cells revealed increased resistance known substrate of MDR1, vincristine and paclitaxel, which was reversed by an MDR1 inhibitor, veraphese data indicate that CDX2 directly regulates MDR1 gene expression through binding to elements in omoter region. Thus, CDX2 is probably important for basal expression of MDR1, regulating drug excrethe pr tion and absorption in the lower gastrointestinal tract, as well as for multidrug resistance to chemotherapy reagent in CDX2-positive gastrointestinal cancers. Cancer Res; 70(17); 6767–78. ©2010 AACR.
Effect of Low- level laser therapy (LLLT) on Orthodontic Tooth Movement - Cellular Level

Orthodontic tooth movement occurs in the presence of a mechanical stimuli will cause changes in the microenvironment around the PDL due to alterations of blood flow, leading to the secretion of different inflammatory mediators such as cytokines, growth factors, neurotransmitters, colony-stimulating factors, and arachidonic acid metabolites. As a result of these secretions, remodeling of the bone occurs [1,2]. Bone remodeling involves resorption of bone on the pressure site and bone formation on the tension site [3]. Low level laser therapy has biostimulatory effects [4]. It stimulates the on-going biological process in tissue and has been found to be effective in modulating cell activity and production of endogenous molecules, which are also involved in orthodontic tooth movement [5-7].
Support Vector Machines Basics – An Introduction Only

1 1 Basics of learning from data 2 2 Support Vector Machines in Classification and Regression 11 2.1 Linear Maximal Margin Classifier for Linearly Separable Data 11 2.2 Linear Soft Margin Classifier for Overlapping Classes 21 2.3 The Nonlinear Classifier 25 2.4 Regression by Support Vector Machines 36 3 Implementation Issues 46 Appendix 48 L2 Support Vector Machines Models Derivation 48 L2 Soft Margin Classifier 49 L2 Soft Regressor 50
Opinion analysis for twitter and arabic tweets: a systematic literature review

The objective of this paper is to present the current evidence relative to twitter opinion mining in general and also the current state of Arabic tweets’ opinion mining. The researcher performed a systematic literature review (SLR) to investigate features and methods used for twitter opinion mining and if those features and methods have been used for Arabic tweets opinion mining. Sixty five papers were used in our synthesis of evidences. Results showed that n-grams features are the most features used for twitter sentiments analysis and also for Arabic tweets. The most common methods used for twitter sentiments analysis is the Lexical based classification using Naive Bayes (NB) and Support Vector Machines (SVM), which are also used for Arabic tweets. In addition, evidence related to subjectivity and opinion target for twitter are highlighted. The results of this SLR show gaps in the research field: first, the lack of studies focusing on multilingual twitter sentiments analysis. Second, the lack of studies that investigate Arabic tweet opinion target. The third is the lack of studies investigating Arabic tweet subjectivity.
Experimental Markets with Frictions

Decentralized and impersonal exchange is fundamental to contemporary economies, where many interactions take place among individuals with low levels of information about their counterpart. We review the experimental literature about markets with frictions, where strangers interact in pairs formed at random in economies of indefinite duration. We focus on the impact of communication on the efficiency of the outcome and report results of a new experiment.
Byzantine Fault Tolerance : Prime vs the Bitcoin Blockchain

The rise of global, peer-to-peer cryptocurrency networks inspired by the Bitcoin blockchain has given new relevance to the design and implementation of Byzantine fault tolerant systems. In this paper, we will describe the meaning of "Byzantine" faults, present two very different solutions to the problem—Prime and the Bitcoin blockchain—and explore their comparative strengths and weaknesses.
The Use of Thematic structure and Concept Identification for Legal Text Summarization

LetSum is a summarization system developed for producing short summaries for legal decisions. LetSum is built with an approach based on the exploration of the document structure and thematic segmentation in order to produce a table-style summary for improving coherency and readability of the text. We present the components of the system and its implementation.
Moderating Effect of Task Interdependence On The Relationship Between Organizational Citizenship Behaviour and Performance

The objective of this study is to examine the moderating effects of Task Interdependence on the relationship between organizational citizenship behaviour (OCB) factorsoperationalized in terms of helping behaviour, sportsmanship, civic virtue and organizational Performances. The study employed Survey research design which is cross sectional in nature, questionnaire was administered by hand delivery and collection with help of Research Assistant to a sample of 168 employees of banks in Kaduna metropolis selected from the population of 191 employees using simple random probability sampling techniques. Hierarchical regression analysis was conducted to test the hypotheses formulated and the findings of the study revealed that task interdependence moderates the relationship between OCB factor (sportsmanship) and performance of DMBs in Kaduna metropolis. In the light of this, we therefore concluded that task interdependence can enhance the relationship OCB has on performance of DMBs. The outcome of this study provides an interested insight to researchers for understanding on the moderating effects of Task Interdependence on the relationship between organizational citizenship behaviour (OCB) factors and organizational Performance.
A developmental and energetic basis linking larval oyster shell formation to acidification sensitivity

Acidified waters are impacting commercial oyster production in the U.S. Pacific Northwest, and favorable carbonate chemistry conditions are predicted to become less frequent. Within 48 h of fertilization, unshelled Pacific oyster (Crassostrea gigas) larvae precipitate roughly 90% of their body weight as calcium carbonate. We measured stable carbon isotopes in larval shell and tissue and in algal food and seawater dissolved inorganic carbon in a longitudinal study of larval development and growth. Using these data and measured biochemical composition of larvae, we show that sensitivity of initial shell formation to ocean acidification results from diminished ability to isolate calcifying fluid from surrounding seawater, a limited energy budget and a strong kinetic demand for calcium carbonate precipitation. Our results highlight an important link between organism physiology and mineral kinetics in larval bivalves and suggest the consideration of mineral kinetics may improve understanding winners and losers in a high CO2 world.
Abelian surfaces of GL₂-type as Jacobians of curves

We study the set of isomorphism classes of principal polarizations on abelian varieties of GL2-type. As applications of our results, we construct examples of curves C, C'/\Q of genus two which are nonisomorphic over \bar \Q and share isomorphic unpolarized modular Jacobian varieties over \Q ; we also show a method to obtain genus two curves over \Q whose Jacobian varieties are isomorphic to Weil's restriction of quadratic \Q-curves, and present examples.
Gait Training using Pneumatically Actuated Robot System

Powered exoskeleton device for gait rehabilitation has been designed and realized, together with proper control architecture. Its DOFs allow free leg motion, while the patient walks on a treadmill with its weight, completely or partially supported by the suspension system. The use of pneumatic actuators for actuation of this rehabilitation system is reasonable, because they offer high force output, good backdrivability, and good position and force control, at a relatively low cost. The effectiveness of the developed rehabilitation system and proposed control architecture was experimentally tested. During the experiments, the movement was natural and smooth while the limb moves along the target trajectory.