Miracle-dz/UniFAR-FTUs huggingface dataset:
Transformation of a Process Business Model to Domain Model

This paper presents a methodology to perform transformations from a business process model, specifying an UML activity diagram to an UML domain model. The transformation is based in the interaction between an action and an information object from an activity diagram. The transformation is combined with a process of refinement, supported by the specifications of the information objects of the activity diagram, having as final result, a more elab- orated domain model that can specify associations of the generalization. The transformation process it is made from an computation independent model (CIM) to an platform independent model (PIM), under the conceptual framework of the model driver architec- ture (MDA).
On-line learning in the committee machine

The dynamics of learning from examples in the K=3 non-overlapping committee machine with single presentation of examples is studied. The optimal algorithm, in the sense of mean generalization, is obtained from a variational analysis of the differential equations which describe the dynamics. The agreement of the theoretical predictions and the results of numerical simulations is excellent. The optimized dynamics has the extra advantage with respect to the non-optimized cases in that it uncouples the differential equations which describe the evolution of the relevant parameters, i.e. the student-teacher overlap and the norm of the student synaptic vector. This, in turn, translates into the possibility of constructing useful practical optimized on-line algorithms. For the optimal algorithm the generalization error decays as approximately 0.88 alpha -1, the same nominal error as for the simple perceptron with optimized dynamics.
Cointegration and Market Efficiency: An Application to the Canadian Treasury Bill Market

In this study we examine if the spot and forward interest rates of the Canadian Treasury bill market are cointegrated and test the bill market efficiency. The data used are monthly average yields of three- and six-month Treasury bills from July 1962 to February 1996. Both spot and forward rates are found to be I(0) and cointegrated in the Engle-Granger (1987) sense. Tests based on Hansen=s (1982) GMM method support the bill market efficiency hypothesis.
Antimicrobial Resistance in Haemophilus influenzae

SUMMARY Haemophilus influenzae is a major community-acquired pathogen causing significant morbidity and mortality worldwide. Meningitis and bacteremia due to type b strains occur in areas where the protein-conjugated type b vaccine is not in use, whereas nontypeable strains are major causes of otitis media, sinusitis, acute exacerbations of chronic bronchitis, and pneumonia. Antibiotic resistance in this organism is more diverse and widespread than is commonly appreciated. Intrinsic efflux resistance mechanisms limit the activity of the macrolides, azalides, and ketolides. β-Lactamase production is highly prevalent worldwide and is associated with resistance to ampicillin and amoxicillin. Strains with alterations in penicillin binding proteins, particularly PBP3 (β-lactamase negative ampicillin resistant and β-lactamase positive amoxicillin-clavulanate resistant), are increasing in prevalence, particularly in Japan, with increasing resistance to ampicillin, amoxicillin, amoxicillin-clavulanate, and many cephalosporins, limiting the efficacy of expanded-spectrum cephalosporins against meningitis and of many oral cephalosporins against other diseases. Most strains remain susceptible to the carbapenems, which are not affected by penicillin binding protein changes, and the quinolones. The activity of many oral agents is limited by pharmacokinetics achieved with administration by this route, and the susceptibility of isolates based on pharmacokinetic and pharmacodynamic parameters is reviewed.
An adaptive fuzzy controller for overhead crane

An adaptive Fuzzy PD controller (AFPDC) is proposed in this paper. Output scaling factor (SF) of the proposed fuzzy controller is updated according to the process trend by a fuzzy gain modifier, which is determined by error and change of error of the system. Effectiveness of the proposed AFPDC is demonstrated on a laboratory scale overhead crane. Moving a suspended load along a pre-specified path is not an easy task when strict specifications on the swing angle and transfer time need to be satisfied. In this study, twin adaptive fuzzy controllers are designed to control the trolley position of the crane and swing angle of the load. The proposed adaptive scheme guarantees a fast and precise load transfer and the swing suppression during load movement, despite of model uncertainties.
Antidiabetic effect of Chenopodium ambrosioides

Chenopodium ambrosioides is an important medicinal plant widely used in the traditional medicine all over the word. Its folk medicinal uses include its antidiabetic profile. A study was designed to determine its hypoglycemic effect. mice used in experiment were fed with high-fat diet for two weeks before induction of Diabetes mellitus by injection of streptozocine (STZ). Animals treated with crude extract (100, 200 and 300 mg/kg) showed significant (p<0.05) hypoglycemic effect in comparison to control. This preliminary but significant study highlighted profound potential of Chenopodium ambrosioides to be investigated further for bioactive compounds responsible for antidiabetic effect.
Wheeling into School and Out of Crime: Evidence from Linking Driving Licenses to Minimum Academic Requirements

Since the late 1980s, several U.S. states have set minimum academic requirements for high school students to apply for and retain their driving licenses. These laws popularly known as "No Pass No Drive" (NPND), encourage teenagers with a preference for driving to stay in school beyond the minimum dropout age. Using Federal Bureau of Investigation (FBI) arrest data, we exploit state, time and cohort variation to show that having an NPND law in place is associated with a significant decrease in arrests due to violent, drug-related and property crime among males between 16 to 18 years of age. We argue that our findings are driven by an increase in education rather than incapacitation and that NPND laws are a relatively low cost policy that generates positive externalities beyond and in addition to the minimum dropout age.
FEATURE EXTRACTION FOR SPEECH RECOGNITON

Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software. But despite of all these advances, machines can not match the performance of their human counterparts in terms of accuracy and speed, specially in case of speaker independent speech recognition. So today significant portion of speech recognition research is focussed on speaker independent speech recognition problem. The reasons are its wide range of applications, and limitations of available techniques of speech recognition. In this report we briefly discuss the signal modeling approach for speech recognition. It is followed by overview of basic operations involved in signal modeling. Further commonly used temporal and spectral analysis techniques of feature extraction are discussed in detail.
Trade, Trade Policy and Industrialization Reconsidered

UNU World Institute for Development Economics Research (UNU/WIDER) was established by the United Nations University as its first research and training centre and started work in Helsinki, Finland, in 1985. The principal purpose of the Institute is policy-oriented research on the main strategic issues of development and international cooperation, as well as on the interaction between domestic and global changes. Its work is carried out by staff researchers and visiting scholars in Helsinki and through networks of collaborating institutions and scholars around the world. The views expressed in this publication are those of the author(s). Publication does not imply endorsement by the Institute or the United Nations University of any of the views expressed.
Women in Charnley class C fail to improve in mobility to a higher degree after total hip replacement

Background— The Charnley comorbidity classification organizes patients into 3 classes: (A) 1 hip involved, (B) 2 hips involved, and (C) other severe comorbidities. Although this simple classification is a known predictor of health-related quality of life (HRQoL) after total hip replacement (THR), interactions between Charnley class, sex, and age have not been investigated and there is uncertainty regarding whether A and B should be grouped together. Methods — We selected a nationwide cohort of patients from the Swedish Hip Arthroplasty Register operated with THR due to primary osteoarthritis between 2008 and 2010. For estimation of HRQoL, we used the generic health outcome questionnaire EQ-5D of the EuroQol group. This consists of 2 parts: the EQ-5D index and the EQ VAS estimates. We modeled the EQ-5D index and the EQ VAS against the self-administered Charnley classification. Confounding was controlled for using preoperative HRQoL values, pain, and previous contralateral hip surgery. Results — We found that women in class C had a poorer EQ-5D outcome than men. This effect was mostly due to the fact that women failed to improve in the mobility dimension; only 40% improved, while about 50% of men improved. Age did not interact with Charnley class. We also found that the classification performed best without splitting or aggregating classes. Interpretation — Our results suggests that the self-administered Charnley classification should be used in its full capacity and that it may be interesting to devote special attention to women in Charnley class C.
Modified Energy-Aware AODV Routing for Ad hoc Networks

Routing in Ad Hoc Networks has received significant attention with a number of different routing protocols proposed in recent years. DSR, DSDV and AODV are the shortest path protocols for Ad Hoc networks. According to energy, the shortest path may be not the best path. A new mechanism of energy-aware named EAODV for Ad Hoc is proposed in this paper, which is based on the classical AODV (the routing protocol on demand). And backup routing mechanism is adopted. In EAODV, the route which spends less energy and owns larger capacity is selected by synthetic analysis. Use software simulating and analyze performance of it. The simulations indicate that this protocol is better than AODV in packet delivery ratio, average end to end delay and normalized routing overhead.
Pten Dose Dictates Cancer Progression in the Prostate

Complete inactivation of the PTEN tumor suppressor gene is extremely common in advanced cancer, including prostate cancer (CaP). However, one PTEN allele is already lost in the vast majority of CaPs at presentation. To determine the consequence of PTEN dose variations on cancer progression, we have generated by homologous recombination a hypomorphic Pten mouse mutant series with decreasing Pten activity: Ptenhy/+ > Pten+/− > Ptenhy/− (mutants in which we have rescued the embryonic lethality due to complete Pten inactivation) > Pten prostate conditional knockout (Ptenpc) mutants. In addition, we have generated and comparatively analyzed two distinct Ptenpc mutants in which Pten is inactivated focally or throughout the entire prostatic epithelium. We find that the extent of Pten inactivation dictate in an exquisite dose-dependent fashion CaP progression, its incidence, latency, and biology. The dose of Pten affects key downstream targets such as Akt, p27Kip1, mTOR, and FOXO3. Our results provide conclusive genetic support for the notion that PTEN is haploinsufficient in tumor suppression and that its dose is a key determinant in cancer progression.
Signal Detection on the Battlefield: Priming Self-Protection vs. Revenge-Mindedness Differentially Modulates the Detection of Enemies and Allies

Detecting signs that someone is a member of a hostile outgroup can depend on very subtle cues. How do ecology-relevant motivational states affect such detections? This research investigated the detection of briefly-presented enemy (versus friend) insignias after participants were primed to be self-protective or revenge-minded. Despite being told to ignore the objectively nondiagnostic cues of ethnicity (Arab vs. Western/European), gender, and facial expressions of the targets, both priming manipulations enhanced biases to see Arab males as enemies. They also reduced the ability to detect ingroup enemies, even when these faces displayed angry expressions. These motivations had very different effects on accuracy, however, with self-protection enhancing overall accuracy and revenge-mindedness reducing it. These methods demonstrate the importance of considering how signal detection tasks that occur in motivationally-charged environments depart from results obtained in conventionally motivationally-inert laboratory settings.
Migration of Oligodendrocyte Progenitor Cells Is Controlled by Transforming Growth Factor β Family Proteins during Corticogenesis

During embryonic development oligodendrocyte precursor cells (OPCs) are generated first in the ventral forebrain and migrate dorsally to occupy the cortex. The molecular cues that guide this migratory route are currently completely unknown. Here, we show that bone morphogenetic protein-4 (Bmp4), Bmp7, and Tgfβ1 produced by the meninges and pericytes repelled ventral OPCs into the cortex at mouse embryonic stages. Ectopic activation of Bmp or Tgfβ1 signaling before the entrance of OPCs into the cortex hindered OPC migration into the cortical areas. OPCs without Smad4 signaling molecules also failed to migrate into the cortex efficiently and formed heterotopia in ventral areas. OPC migration into the cortex was also dramatically reduced by conditional inhibition of Tgfβ1 or Bmp expression from mesenchymal cells. The data suggest that mesenchymal Tgfβ family proteins promote migration of ventral OPCs into the cortex during corticogenesis.
Step-Detection and Adaptive Step-Length Estimation for Pedestrian Dead-Reckoning at Various Walking Speeds Using a Smartphone

We propose a walking distance estimation method based on an adaptive step-length estimator at various walking speeds using a smartphone. First, we apply a fast Fourier transform (FFT)-based smoother on the acceleration data collected by the smartphone to remove the interference signals. Then, we analyze these data using a set of step-detection rules in order to detect walking steps. Using an adaptive estimator, which is based on a model of average step speed, we accurately obtain the walking step length. To evaluate the accuracy of the proposed method, we examine the distance estimation for four different distances and three speed levels. The experimental results show that the proposed method significantly outperforms conventional estimation methods in terms of accuracy.
Instrumented transforaminal lumbar interbody fusion in surgical treatment of recurrent disc herniation

Background: The incidence of recurrence in patients undergoing primary discectomy due to lumbar disc herniation (LDH), is regularly reported as 5-15%. In this study we aimed to evaluate surgical outcome of instrumented transforaminal lumbar interbody fusion (TLIF) in the patients suffering from recurrent LDH. Methods: We retrospectively studied 51 patients (30 female, 21 male) from August 2007 to October 2011. The mean age and follow-up of the patients was 46.4±14.8 (ranged; 29-77 years old) and 31.4±6.8 (ranged; 25-50 months), respectively. Clinical improvement was assessed by Oswestry Disability Index (ODI), visual analogue scale (VAS), and subjective satisfaction rate, while fusion was appraised radiologically. Data analysis was by one sample Kolmogorov-Smirnov, paired t, and Mann-Whitney tests. Results: Surgery could significantly improve mean leg and lumbar VAS and ODI from preoperative 7.4±2.5, 7.8±3.1, and 72.1±21.5 to postoperative 3.4±3.6, 3.5±2.6, and 27.5±18.0, respectively at the last follow-up visit. Subjective satisfaction rate was excellent in 24 patients (47.1%), good in 14 (27.5%), fair 11 (21.6%), and poor in two (3.9%). We had one patient with iatrogenic partial L5 nerve root injury and one with unknown late onset refractory postoperative back pain. Fusion rate was 100% and instrument failure was nil. Conclusion: In surgical treatment of the patients with recurrent LDH, bilaterally instrumented TLIF is a relatively safe and effective procedure and can be associated with least instrument failure and highest fusion rate while no postoperative bracing is also needed.
Chemistry of Silanes: Interfaces in Dental Polymers and Composites1

The performance and service life of glass-or ceramic-filled polymeric composites depend on the nature of their resin, filler and interfacial phases as well as the efficacy of the polymerization process. The synergy that exists between the organic polymer matrix and the usually inorganic reinforcing filler phase is principally mediated by the interfacial/interphasial phase. This latter phase develops as a result of the dual reactivity of a silane coupling agent, (YRSiX3), a bifunctional molecule capable of reacting with the silanol groups of glass or ceramic fillers via its silane functional group (–SiX3) to form Si-O-Si- bonds to filler surfaces, and also with the resin phase by graft copolymerization via its Y functional group, usually a methacrylic vinyl group. In this paper, we explore some of the chemistry of organosilanes, especially that of functional organosilanes (or silane coupling agents as they are commonly known) that are used to mediate interfacial bonding in mineral reinforced polymeric composites. The chemistry of organosilanes can be quite complex involving hydrolytically initiated self-condensation reactions in solvents (including monomers) that can culminate in polymeric silsesquioxane structures, exchange reactions with hydroxylated or carboxylated monomers to form silyl ethers and esters, as well as the formation of silane derived interfaces by adhesive coupling with siliceous mineral surfaces.
Subunit-specific Contribution of Pore-forming Domains to NMDA Receptor Channel Structure and Gating

N-methyl-d-aspartate receptors (NMDARs) are ligand-gated ion channels that contribute to fundamental physiological processes such as learning and memory and, when dysfunctional, to pathophysiological conditions such as neurodegenerative diseases, stroke, and mental illness. NMDARs are obligate heteromultimers typically composed of NR1 and NR2 subunits with the different subunits underlying the functional versatility of NMDARs. To study the contribution of the different subunits to NMDAR channel structure and gating, we compared the effects of cysteine-reactive agents on cysteines substituted in and around the M1, M3, and M4 segments of the NR1 and NR2C subunits. Based on the voltage dependence of cysteine modification, we find that, both in NR1 and NR2C, M3 appears to be the only transmembrane segment that contributes to the deep (or voltage dependent) portion of the ion channel pore. This contribution, however, is subunit specific with more positions in NR1 than in NR2C facing the central pore. Complimentarily, NR2C makes a greater contribution than NR1 to the shallow (or voltage independent) portion of the pore with more NR2C positions in pre-M1 and M3-S2 linker lining the ion-conducting pathway. Substituted cysteines in the M3 segments in NR1 and NR2C showed strong, albeit different, state-dependent reactivity, suggesting that they play central but structurally distinct roles in gating. A weaker state dependence was observed for the pre-M1 regions in both subunits. Compared to M1 and M3, the M4 segments in both NR1 and NR2C subunits had limited accessibility and the weakest state dependence, suggesting that they are peripheral to the central pore. Finally, we propose that Lurcher mutation-like effects, which were identified in and around all three transmembrane segments, occur for positions located at dynamic protein–protein or protein–lipid interfaces that have state-dependent accessibility to methanethiosulfonate (MTS) reagents and therefore can affect the equilibrium between open and closed states following reactions with MTS reagents.
Brain-derived microparticles induce systemic coagulation in a murine model of traumatic brain injury.

Traumatic brain injury (TBI) is associated with coagulopathy, although it often lacks 2 key risk factors: severe bleeding and significant fluid resuscitation associated with hemorrhagic shock. The pathogenesis of TBI-associated coagulopathy remains poorly understood. We tested the hypothesis that brain-derived microparticles (BDMPs) released from an injured brain induce a hypercoagulable state that rapidly turns into consumptive coagulopathy. Here, we report that mice subjected to fluid percussion injury (1.9 ± 0.1 atm) developed a BDMP-dependent hypercoagulable state, with peak levels of plasma glial cell and neuronal BDMPs reaching 17 496 ± 4833/μL and 18 388 ± 3657/μL 3 hours after TBI, respectively. Uninjured mice injected with BDMPs developed a dose-dependent hyper-turned hypocoagulable state measured by a progressively prolonged clotting time, fibrinogen depletion, and microvascular fibrin deposition in multiple organs. The BDMPs were 50 to 300 nm with intact membranes, expressing neuronal or glial cell markers and procoagulant phosphatidylserine and tissue factor. Their procoagulant activity was greater than platelet microparticles and was dose-dependently blocked by lactadherin. Microparticles were produced from injured hippocampal cells, transmigrated through the disrupted endothelial barrier in a platelet-dependent manner, and activated platelets. These data define a novel mechanism of TBI-associated coagulopathy in mice, identify early predictive markers, and provide alternative therapeutic targets.
Modeling of Timed Petri Nets Using Deterministic (max, +) Automata

Abstract Automata with weights (multiplicities) in (max,+) algebra form a class of timed automata. Determinism is a crucial property for numerous results on (max,+) automata and, in particular, for applications to performance evaluation and control of a large class of timed discrete event systems. In this paper, we show how to build a deterministic (max, +) automaton equivalent to a live and safe timed Petri net in which, between any two transitions, there exists an oriented path which contains at most one “conflict place”
Low-Temperature Stress during Capped Brood Stage Increases Pupal Mortality, Misorientation and Adult Mortality in Honey Bees

Honey bees (Apis mellifera) are key pollinators, playing a vital role in ecosystem maintenance and stability of crop yields. Recently, reduced honey bee survival has attracted intensive attention. Among all other honey bee stresses, temperature is a fundamental ecological factor that has been shown to affect honey bee survival. Yet, the impact of low temperature stress during capped brood on brood mortality has not been systematically investigated. In addition, little was known about how low temperature exposure during capped brood affects subsequent adult longevity. In this study, capped worker broods at 12 different developmental stages were exposed to 20°C for 12, 24, 36, 48, 60, 72, 84 and 96 hours, followed by incubation at 35°C until emergence. We found that longer durations of low temperature during capped brood led to higher mortality, higher incidences of misorientation inside cells and shorter worker longevity. Capped brood as prepupae and near emergence were more sensitive to low-temperature exposure, while capped larvae and mid-pupal stages showed the highest resistance to low-temperature stress. Our results suggest that prepupae and pupae prior to eclosion are the most sensitive stages to low temperature stress, as they are to other stresses, presumably due to many physiological changes related to metamorphosis happening during these two stages. Understanding how low-temperature stress affects honey bee physiology and longevity can improve honey bee management strategies.