Miracle-dz/UniFAR-FTUs huggingface dataset:
An improved framework of business process management system which integrating the strategy management

The business process management theory is a new enterprise management method that rises in recent years. But the theory itself is not perfect yet, such as it can not support the enterprisepsilas business processpsilas dynamically improving. The paper firstly analyzed the traditional view of business process management; and referred to its theory insufficiency. For the further use of the system, we have built another new business process management model, based on this model, the enterprisespsila manager can improve their business process dynamically and will not interrupt the enterprisespsila normal production activities. The new model is made up of five departments: business process workbench, business process monitor, interface, business process engine, and business process/business rule database. The new BPMS can realize the business processpsilas dynamically improving through the creation of real case of a business process.
Systemic Risk and Bank Size December 2014

In this paper we analyse aggregate and firm level systemic risk for US and European banks from 2004 to 2012. We observe that common systemic risk indicators are primarily driven by firm size which implies an overriding concern for “too-big-to-fail” institutions. However, smaller banks may still pose considerable systemic threats, as exemplified by the Northern Rock debacle in 2007. By introducing a simple standardisation, we obtain a new risk measure that identifies Northern Rock as a top ranking systemic institution up to 4 quarters before its bailout. The new indicator also appears to have a superior ability to predict which banks would be affected by the most severe stock price contractions during the 2007-2009 sub-prime crisis. In addition we find that a bank’s balance sheet characteristics can help to forecast its systemic importance and, as a result, may be useful early warning indicators. Interestingly, the systemic risk of US and European banks appears to be driven by different factors.
Search Relevance based on the Semantic Web

The amount of data stored and shared as well as the active number of users is continuously increasing on the Web. When that large number of people meet with that large amount of information on the Web, finding the right information in such a quite large scale is definitely a difficult task. Remarkable progress has been made over the last decade with the help of search technologies applied on the Web that are able to collect, maintain and filter the information according to users’ needs. Search relevance is a core topic in Web search and directly affects the search performance. Several proposals are made in this regard employing different techniques to represent, model and measure relevance of a particular search result to the users. In this thesis, we explore the challenge of search relevance in the context of semantic search. We firstly introduce a general framework for relevance as it is understood in the context of Web search which allows us to compare different notions of relevance that exist in literature. Specifically, the notion of semantic relevance can be distinguished from the other types of relevance in Information Retrieval (IR) in terms of employing an underlying semantic model. We propose the emerging Semantic Web data on the Web which is represented in RDF graph structures as an important candidate to become such a semantic model in a search process. However, the semantic gap between the structured representation of this type of data and the textual content is a major challenge for its applicability to Web search. For this purpose, we propose a probabilistic generative model to be trained from existing datasets of the Semantic Web data in order to bridge this semantic gap. Based on this model, we introduce novel ranking models by extending long-studied IR-based models that have been widely applied to the Web search. Specifically we present a semantic relevance model that can model and determine relevance based on the semantic data by exploiting existing datasets to improve retrieval performance. In fact using Semantic Web data as a relevance source is orthogonal to existing search paradigms and can be used in a variety of contexts. We also show how semantic relevance can be utilized to extend different types of IR-based models (i.e. generative or discriminative) to search different types of data (i.e. unstructured and structured).
Reduction of GAG storage in MPS II mouse model following implantation of encapsulated recombinant myoblasts

Hunter syndrome, mucopolysaccharidosis type II (MPS II), is a X‐linked inherited disorder caused by the deficiency of the enzyme iduronate‐2‐sulfatase (IDS), involved in the lysosomal catabolism of the glycosaminoglycans (GAG) dermatan and heparan sulfate. Such a deficiency leads to the intracellular accumulation of undegraded GAG and eventually to a progressive severe clinical pattern. Many attempts have been made in the last two to three decades to identify possible therapeutic strategies for the disorder, including gene therapy and somatic cell therapy.
Highly-compact fibre-optic package for 30–300GHz wireless transmitter modules

In this paper, we present a highly-compact fibre-optic package for 30-300 GHz wireless transmitter modules with integrated antenna. The overall module size is only 22 x 17 x 8.5 mm and comprises fibre-chip coupling, electrical beam forming as well as techniques for low millimetre-wave losses. FEM-simulations show that the operational frequency range of the package is at least within 30-300 GHz. Furthermore, the package allows a high flexibility in terms of possible chip dimensions. Using this approach, external mm-wave components like antennas or cables can be avoided thus offering a low-cost small-scale solution. A small-series of the presented package has already been constructed. Results with in-house fabricated photomixers with integrated antenna are further presented.
Automated Discovery of New Chemical Reactions and Accurate Calculation of Their Rates

Abstract : A major challenge in combustion chemistry is to be sure that all of the important reactions have been included in the kinetic model. Experience shows that missing reactions are a major cause of discrepancies between model predictions and experimental performance. Looking at combustion chemistry as motion on a Potential Energy Surface landscape, reactions are the passes that connect valleys representing the different molecules; whether or not two valleys are connected is the key issue determining the topology of the landscape. Conventional kinetic modeling approaches include only well known types of reactions in the models; as demonstrated in this project these conventional models omit most of the actual reactions occurring in the engine. Discovering new reactions is very challenging, so historically many of the most important reactions have been discovered by serendipity (either experimentally or by using quantum chemistry). In this project we develop a much more systematic approach, using high performance computing to search for reactions connecting a specified reactant to each possible product, and using quantum chemistry to determine the reaction barriers. The algorithm developed here has 4 key steps: (1) identification of all the potential product channels ; (2) Search for a low energy reaction path connecting reactant and each product channel; and (3) refinement of the reaction path to determine the saddle point geometry and barrier height. This new computational approach is found to be the most effective method so far at discovering novel chemical reactions. Using the new algorithm we have discovered 38 new exothermic or mildly endothermic reactions in this project.
An environment for video content indexing and retrieval base don visual features

This paper is centered in video information retrieval based on its visual characteristics. It proposes an environment for automatic summarization and indexing of digital videos in order to support content-based video retrieval. The proposed approach applied in a repository containing more than 34 hours of TV news broadcast, key-frame sampled by about 1.25% of the total of frames. This reduced representation was then used for the indexing of video contents, providing the basis for various experiments and analysis of performance for the recovery of visual content in videos with the application of various techniques implemented in this work.
ISCN Rules for Listing Chromosomal Rearrangements

It contains the standard system for numbering human chromosomes and constitutional rearrangements and the banding pattern for normal chromosomes at 400‐, 550‐, and 850‐band levels of resolution. ISCN 1995 also contains guidelines for cancer cytogenetics and for in situ hybridization. The complete ISCN 1995 also contains nomenclature for human meiotic chromosomes (not included here). The guidelines presented herein are recommended for use when reporting karyotypes, designating chromosome rearrangements and aberrations, and indicating regions of the genome where DNA sequences are located.It contains the standard system for numbering human chromosomes and constitutional rearrangements and the banding pattern for.
Obsessive-Compulsive Disorder (OCD) Patients are Impaired in Remembering Temporal Order and in Judging Their Own Performance

Obsessive-compulsive disorder (OCD) has been related to frontostriatal dysfunction, but some inconsistencies between studies and a relative paucity of neuropsychological research still characterizes the study of OCD. We compared 28 patients with OCD and matched healthy controls on two neuropsychological tests sensitive to frontal dysfunction: temporal ordering and a “feeling-of-doing” (FOD) judgment about ordering. The OCD group performed significantly worse than controls in the temporal ordering task despite showing normal recognition memory. Patients were also impaired in “feeling-of-doing” judgments suggesting they have a lack of self-awareness of their performance. Thus, the results of the current study reinforces previous research that indicates that OCD patients fail on tasks that require adequate functioning of the frontal-striatal pathways.
Needed: a commitment to basic training in emergency medicine teaching.

Ask a room full of dedicated emergency physicians why they chose Emergency Medicine (EM) as a career, and many will mention a great EM role model or teacher. As a young, dynamic specialty, EM needs more great educators to inspire future generations. Not only do effective teachers motivate others to choose their specialty; they better stimulate learning in trainees. All physicians can benefit from the lessons that emergency physicians teach best, from dealing with emergent and undifferentiated patients to performing diverse procedures — not to mention professionalism, courtesy, collaboration, caring and grace under pressure. Effective teaching and successful clinical teachers have been studied for decades but, recently, investigators have turned their focus toward the unique emergency department setting. Bandiera and colleagues previously identified key characteristics and behaviours of effective EM teachers, validating concepts reported elsewhere in medical education literature and informing physicians interested in developing better teaching. In this issue of CJEM, Bandiera and colleagues describe the educational outcomes of a faculty development workshop designed to impart some of the abilities we should role model on a daily basis. The workshop design is a model one: systematic, multimodal, with active methods, and tailored precisely to the learners needs. In follow-up, participants rated the experience and their subsequent application of the learning positively. While this study is limited by small sample size and self-reporting, its methods are appropriate and it should not be dismissed. Randomized trials are rare in education for sound methodologic reasons, and “program evaluation” methods such as these must be used in such investigations. This Bandiera study reports outcomes at the first level of Kirkpatrick’s 4-level model. All emergency physicians should have access to the kind of faculty development programs described here, and now they can. While the vast majority of clinician teachers instruct “by the seat of their pants,” they don’t have to. Some may be talented; others may role model the best teachers they have met. Unfortunately, research shows that truly effective teachers are rare. It is time for a commitment to some basic training for all academic emergency physicians. In 2004, CAEP sponsored the development of a new national, evidence-based EM teaching effectiveness Roadshow, “ED STAT! ” (ED STAT! : Strategies for Teaching Any Time; www.caep.ca). This continuing professional development program compiles the science of clinical teaching and imparts it using hands-on teaching methods by those who do it best. Emergency medicine is already one of the most popular specialties in medical schools. With greater dedication to the science of teaching, EM can reap the benefits of admiring students, respectful colleagues, competent learners, and greater satisfaction in our work. Bandiera and colleagues remind us that effective EM teaching is both imperative and achievable.
Hybrid Discontinuous/Boundary Conduction Mode of Flyback Microinverter for AC–PV Modules

The current-source flyback inverter has been proven an excellent solution for ac-PV modules. The two principal modes of operation of this converter are the discontinuous conduction mode (DCM) and the boundary conduction mode (BCM). Although BCM offers higher power density, it suffers at lower power levels, because of the significantly increased switching frequency that consequently leads to higher switching losses and lower overall converter efficiency. In this paper, a hybrid operating mode is presented, that combines both DCM and BCM during a utility grid period, so as to improve the converter performance as well as the efficiency and the power density on a wider power range. The mathematical analysis that describes the control specifics especially for a smooth transition between the two modes of operation is presented and demonstrated through computer simulations and experimental results on a laboratory prototype.
A technology for monolithic MEMS-CMOS integration and its application to the realization of an active-matrix tactile sensor

Presently described is an application of a technology based on the surface-migration of silicon for the monolithic integration of micro-mechanical devices and complementary metal-oxide-semiconductor (CMOS) electronic circuits. A cavity sealed with a cover-diaphragm is first formed without a sacrificial layer etch. The electronic devices are next fabricated. The issues of material- and process-incompatibility inherently present in many integration schemes are largely avoided. A 16×16 active-matrix tactile sensor integrating 256 force-sensing diaphragms, 512 pixel transistors and 512 piezoresistors was designed, realized and characterized. The spatial resolution of the sensor was ~145 “pixels per inch” and the pressure sensitivity was ~0.07 μV/V/Pa.
Automated refraction

Abstract A prospective study was performed on 46 eyes to compare results of different methods of objective refraction, namely automated refraction with the Nidek AR‐1000 autorefractometer and retinoscopy in cycloplegia. We found that automated refraction in cyclopentolate cycloplegia gave results that differed little from results of retinoscopy in atropine cycloplegia both with respect to sphere and cylinder. Axis determination was even better with automated refraction. Dry automated refraction gave inaccurate results for the spheric component presumably because of suboptimal control of accomodation in this group of young patients. We recommend automated refraction in cyclopentolate cycloplegia as an easy, rapid, accurate and convenient method for obtaining an objective refraction where accomodative disorders are suspected.
Numerical analysis of the radiation characteristics of the meander line antennas consisting of two strips

With the development of mobile terminal equipment, the demand for smaller handsets has increased. The size of many devices are decreasing, however, it is difficult to reduce the size of an antenna, that is, there are problems of impedance matching, bandwidth and radiation efficiency with down sizing. Currently, in a personal radio system, a whip antenna, a planar inverted F antenna (PIFA) and a helical antenna in the normal mode are used. The PIFA and helical antenna satisfying the condition that their sizes are smaller than /spl lambda//2/spl pi/ (1 radiansphere) are well known as a reference of a small antenna. The PIFA is not thin, while the normal mode helical antenna needs a matching circuit because of the small radiation resistance. The radiation characteristics of a meander line antenna are described and a method of improving the matching by using two strips are shown. The impedance matching is considered on the basis of its equivalent circuit and an analysis of the current distributions of the meander line antennas is carried out.
Hypothalamo-Pituitary-Adrenal Axis Activity Is Related to the Level of Central Arousal: Effect of Sleep Deprivation on the Association of High-Frequency Waking Electroencephalogram with Cortisol Release

The temporal and quantitative interrelationships between the hypothalamo-pituitary-adrenal (HPA) axis activity and the level of central arousal were studied in 10 healthy young men during daytime wakefulness. Two experimental sessions were conducted randomly between 09.00 and 18.00 h, once after nocturnal sleep and once after a night of total sleep deprivation. Spectral analysis of serial waking electroencephalography (EEG) from a short target fixation task repeated every 10 min was undertaken, along with an estimation of cortisol secretory profiles by deconvolution of plasma radioimmunoassay measures obtained from continuous blood withdrawal with regular sampling at a 10-min interval. Following nocturnal sleep, a temporal association between the HPA axis activity and the waking EEG activity was found, cortisol secretory rate following changes in frontal gamma (20–45 Hz) band power by 10 min (average R = 0.458, p < 0.001). Although it remained significant (average R = 0.276, p < 0.05), the association strength decreased significantly following total sleep deprivation (p < 0.05, Wilcoxon test). Cortisol plasma level, secretory rate and pulse amplitude were increased as well as waking EEG power in the delta (0.5–5.5 Hz), theta (5.5–8.5 Hz) and gamma frequency bands (all p values <0.05, Student t tests). The sleep deprivation-related increases in cortisol secretory rate and waking EEG gamma activity were quantitatively associated (R = 0.504, p < 0.05). These results support the existence of a common ultradian regulatory mechanism, co-ordinating HPA axis activity to the level of central arousal in man, which seems involved in the sleep deprivation-induced hyperarousal.
Combining statistical similarity measures for automatic induction of semantic classes

In this paper, an unsupervised semantic class induction algorithm is proposed that is based on the principle that similarity of context implies similarity of meaning. Two semantic similarity metrics that are variations of the vector product distance are used in order to measure the semantic distance between words and to automatically generate semantic classes. The first metric computes "wide-context" similarity between words using a "bag-of-words" model, while the second metric computes "narrow-context" similarity using a bigram language model. A hybrid metric that is defined as the linear combination of the wide and narrow-context metrics is also proposed and evaluated. To cluster words into semantic classes an iterative clustering algorithm is used. The semantic metrics are evaluated on two corpora: a semantically heterogeneous Web news domain (HR-Net) and an application-specific travel reservation corpus (ATIS). For the hybrid metric, semantic class member precision of 85% is achieved at 17% recall for the HR-Net task and precision of 85% is achieved at 55% recall for the ATIS task
Tropomodulin 3 Binds to Actin Monomers*

Regulation of the actin cytoskeleton by filament capping proteins is critical to myriad dynamic cellular functions. The ability of these proteins to bind both filaments as well as monomers is often central to their cellular functions. The ubiquitous pointed end capping protein Tmod3 (tropomodulin 3) acts as a negative regulator of cell migration, yet mechanisms behind its cellular functions are not understood. Analysis of Tmod3 effects on kinetics of actin polymerization and steady state monomer levels revealed that Tmod3, unlike previously characterized tropomodulins, sequesters actin monomers with an affinity similar to its affinity for capping pointed ends. Furthermore, Tmod3 is found bound to actin in high speed supernatant cytosolic extracts, suggesting that Tmod3 can bind to monomers in the context of other cytosolic monomer binding proteins. The Tmod3-actin complex can be efficiently cross-linked with 1-ethyl-3-(dimethylaminopropyl)carbodiimide/N-hydroxylsulfosuccinimide in a 1:1 complex. Subsequent tryptic digestion and liquid chromatography/tandem mass spectrometry revealed two binding interfaces on actin, one distinct from other actin monomer binding proteins, and two potential binding sites in Tmod3, which are independent of the previously characterized leucine-rich repeat structure involved in pointed end capping. These data suggest that the Tmod3 isoform may regulate actin dynamics differently in cells than the previously described tropomodulin isoforms.
A framework for the storage and retrieval of continuous media data

Continuous media applications require a guaranteed transfer rate of data, which conventional storage servers are not designed to provide. The aim of this paper is to provide a general framework for the design of storage servers that deal with both continuous and non-continuous media data. We present several algorithms for the concurrent transfer of continuous media data for multiple requests with different rates. The algorithms provide high throughout by reducing the seek latency time and by eliminating relational latency incurred when accessing data on disks. Each of these algorithms is accompanied by an admission control scheme to restrict the number of concurrent requests being serviced at any given time. We also augment these algorithms to support conventional data accesses without violating the rate guarantees of continuous media data requests. Finally, we extend our algorithms to deal with the newer disks, where transfer rates vary from one track to another. The algorithms presented in this paper are used in Fellini-a storage server for continuous and conventional data being implemented at AT&T Bell Laboratories.
Ideas Production in Emerging Economies

We model ‘new ideas’ production in a panel of 17 emerging countries. Our results reveal: (i) ideas production is duplicative, (ii) externality associated with domestic knowledge stocks is of above unit factor proportionality, (iii) OECD countries raise the innovation-bar for emerging countries, (iv) there is no significant knowledge diffusion across emerging countries, and (v) growth in emerging countries appear far from a balanced growth path.
Modeling the Time-Dependent Polarization of Blazars

Linear polarization is an extremely valuable observational tool for probing the dynamic physical conditions of blazar jets. Some patterns are seen in the data, suggestive of order that can be explained by shock waves and helical magnetic field components. However, much disorder is apparent, which implies that turbulence plays a major role as well, especially in the fluctuations of flux and polarization, and perhaps particle acceleration. Here, we present some actual flux and polarization versus time data, plus simulations of model jets. We analyze the output of the simulations in a manner that can be compared with observational data. The results suggest that the ratio of turbulent to ordered magnetic fields varies with time.