Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Fillers and Voids on Compressive Yield of Epoxy Composites

Two series of epoxy composites, filled and porous, were loaded in compression up to yield under several constant strain rates. Results indicate a linear relationship between yield stress and log strain rate, characterized by a constant slope for the different com positions, and almost linear dependence of yield stress on filler content. A simplified empirical formula was derived for the yield stress of filled composites as function of filler content and strain rate. Similar dependence was found for porous composites. The strain-rate dependence indicates non-Newtonian visco plastic behaviour obeying the corresponding Eyring equation. The filler content was found to have almost no effect on the activation volume terms, and its main effect is apparently with regard to the activation energy characteristics of the yielding process.
Low-Frequency Noise Properties of Si/SiGe Heterojunction Bipolar Transistors

In this paper we present excellent low-frequency noise performances of passivated Si/SiGe heterojunction bipolar transistor. We report noise corner frequency in the 10 kHz range for the input noise voltage generator and in the 100 kHz range for the input noise current generator. We show that 1/f noise is probably generated both in the distributed base resistance and along the emitter finger.
Pose estimation of 3D face images using fuzzy nearest distance in fuzzy interpolation line

Authors have developed a novel method to estimate the pose position of an incoming 3D face image. In the learning system, a set of 3D face images of various persons with various face expressions at determined pose is used as a fuzzy reference vector. Instead of using the conventional crisp-vector in conventional crisp-feature space, we develop a pose estimation system using fuzzy-vector as a point in a fuzzy-feature space, by incorporating fuzzy numbers to deal with the fuzziness of the data caused by statistical measurement error directly. A fuzzy-linear interpolation and a fuzzy-spline interpolation which uses fuzzy points are then constructed. To estimate the pose position of an unknown crisp-image vector, it is firstly transformed into a fuzzy-vector and projected onto 3D fuzzy-feature spaces, then calculate the fuzzy-distances to all available fuzzy-points in the designated fuzzy-lines. We also develop fuzzy distance calculation methods for determining the pose position of an unknown 3D face image. Comparisons of the recognition results of the proposed methods with the crisp-line interpolation methods show that the proposed methods increased the recognition rate by 30%.
Mining and evaluation of molecular relationships in literature

MOTIVATION Specific information on newly discovered proteins is often difficult to find in literature. Particularly if only sequences and no common names of proteins or genes are available, preceding sequence similarity searches can be crucial for the process of information collection. In drug research, it is important to know whether a small molecule targets only one specific protein or whether similar or homologous proteins are also influenced that may account for possible side effects. RESULTS prolific (protein-literature investigation for interacting compounds) provides a one-step solution to investigate available information on given protein names, sequences, similar proteins or sequences on the gene level. Co-occurrences of UniProtKB/Swiss-Prot proteins and PubChem compounds in all PubMed abstracts are retrievable. Concise 'heat-maps' and tables display frequencies of co-occurrences. They provide links to processed literature with highlighted found protein and compound synonyms. Evaluation with manually curated drug-protein relationships showed that up to 69% could be discovered by automatic text-processing. Examples are presented to demonstrate the capabilities of prolific. AVAILABILITY The web-application is available at http://prolific.pharmaceutical-bioinformatics.de and a web service at http://www.pharmaceutical-bioinformatics.de/prolific/soap/prolific.wsdl. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Language Resources for Semantic Document Annotation and Crosslingual Retrieval

This paper describes the interaction among language resources for an adequate concept annotation of domain texts in several languages. The architecture includes domain ontology, domain texts, language specific lexicons, regular grammars and disambiguation rules. Ontology plays a central role in the architecture. We assume that it represents the meaning of the terms in the lexicons. Thus, the lexicons for the languages of the project (http://www.lt4el.eu/ - the LT4eL (Language Technology for eLearning) project is supported by the European Community under the Information Society and Media Directorate, Learning and Cultural Heritage Unit. ) are constructed on the base of the ontology. The grammars and disambiguation rules facilitate the annotation of the text with concepts from the ontology. The established in this way relation between ontology and text supports different searches for content in the annotated documents. This is considered the preparatory phase for the integration of a semantic search facility in Learning Management Systems. The implementation and performance of this search are discussed in the context of related work as well as other types of searches. Also the results from some preliminary steps towards evaluation of the concept-based and text-based search are presented.
Morbidity in live liver donors: standards-based adverse event reporting further refined.

HYPOTHESIS The true extent of morbidity among live liver donors remains poorly understood. In this unique and often high-profile area of surgery, the development of standards for defining and reporting complications would foster a better understanding of the incidence and magnitude of such adverse events (AEs). DESIGN Retrospective review of AEs among live liver donors. SETTING University-affiliated teaching hospital. PATIENTS AND METHODS Of 202 individuals undergoing evaluation for live liver donation, 42 (20.8%) proceeded to surgery. Thirty-four underwent a right lobectomy without the middle hepatic vein; 3, a left lateral segmentectomy. Any event causing a deviation from a patient's ideal course was considered an AE and subsequently classified according to a derived framework. Morbidity was defined as 1 or more AEs. MAIN OUTCOME MEASURES Incidence, timing, type, severity, and impact of AEs. RESULTS No deaths or significant hepatic dysfunction occurred. In 5 (12%) of the 42 donors, the hepatectomy was aborted for anatomic reasons before parenchymal transection. Eight (22%) of the remaining 37 experienced 11 AEs, of which 10 completely resolved, whereas 1 AE (3%) resulted in a permanent disability (brachial plexopathy). The overall incidence of AEs was 0.30 per case. Ten (91%) of the 11 AEs presented within the first postoperative month. CONCLUSIONS Most live liver donations are uncomplicated or do not lead to permanent consequence. The adoption of a standards-based classification framework for AEs in live liver donors would allow for an inclusive, consistent, and universally applicable method to collect, analyze, and report donor morbidity.
Research of an event process designed for event & voluminous graphs to compute customized itinerary

Processes of itinerary calculation in graphs have been, and still are, an interesting research topic. Despite the great interest that this topic has drawn in the research community, the proposed algorithms in the literature reveal certain limits to compute the itinerary in the graphs which parameters (vertices, edges) could be varying and could have a big graph order. The purpose main of this paper is to present the solution that resolve the issue in question and final results will be operated for the benefit of humans (included people with visual, auditory and mobile disabilities) to guide them in the presence of the unexpected of navigation that cause the variability of graph parameters. The presented solution can also be operated in a wide range of applications fields.
Real-time accurate crowd counting based on RGB-D information

Real-time accurate crowd counting is one of important tasks in intelligent visual surveillance systems. Most previous works can only count passing people robustly without heavy occlusions which are very common in the practical surveillance scenes. To solve this difficult problem, we propose a new method for crowd counting for RGB-D (RGB plus depth) data using a commodity depth camera. In our method, we first detect each head-shoulder of the passing or still person in the surveillance region with fast template matching based on depth information including pedestrian filling with convex hull segmentation. Then, we track and count each detected head-shoulder based on RGB information bidirectionally. By using this approach, we have built a practical system for robust and fast crowd counting. Extensive experimental results show that our method achieves significant improvement comparing to states-of-the-art approach, and the built system is not only robust to heavy occlusions, but also can be deployed in the real time crowd counting application scenes.
Unitary Beamforming Multi-User MIMO System with Efficient User Scheduling Algorithm

This letter proposes a new practical multiuser MIMO (MU-MIMO) scheme, which is an evolution of the well-known Per User Unitary beamforming Rate Control (PU2RC) proposed for 3GPP-LTE and IEEE802.16m standards. The proposed scheme includes an efficient user scheduling algorithm which alleviates the major weakness of the conventional PU2RC. Numerical results show that the proposed scheme provides notable performance improvement especially with small and medium user pool since it effectively exploits the benefit from large codebook size.
An exact model for multi-layer constrained via minimization

In this paper we consider the multi-layer con- strained via minimization problem which arises in the design of integrated circuits and printed circuit boards. That problem has been shown to be NP-complete even for two layers when the maximum junction degree is ≥ 4. We show that, for any maximum junction degree, for a given k, k ≥ 2, the problem can be reduced to the k-partite induced subgraph problem. We discuss integer programming formulations for that problem when k = 2 and k ≥ 3. Using this, we describe cutting plane algorithms for both cases, and present some experimental results. We also discuss some practical considerations such as the overlap case and show how these can be taken into account by our model.
Ultraviolet Radiation Measurement via Smart Devices

Ultraviolet (UV) radiation has a great impact on human health. Nowadays, the public basically gets information about UV radiation through weather forecasts, which can only provide rough and average prediction for a certain large area. Since CMOS sensors in smartphone cameras are very sensitive to UV radiation, smartphones have potential to be the ideal equipment to measure it. At the same time, result optimization can be achieved in real time by taking advantage of fog computing because fog servers are able to aggregate UV radiation data and compute the results at local areas. This paper exhaustively discussed a novel procedure that could measure UV radiation through smartphone cameras, and also briefly covered how to leverage fog computing to improve UV measurement accuracy. To implement the procedure, an Android app called UV meter was developed. Experiments were conducted by utilizing the app to validate and evaluate the correctness and accuracy of the procedure on both smartphones and smart watches. Results showed that the proposed procedure could achieve an average of 95% accuracy of a typical professional digital UV meter, and could be easily implemented on smart devices.
Haptic Rendering of Topological Constraints to Users Manipulating Serial Virtual Linkages

This paper presents an approach for haptic rendering of topological constraints to users operating serial virtual linkages. In the proposed approach, a haptic device controller is designed to penalize users’ departure from the configuration manifold of the virtual linkage. This manifold is locally approximated through the range space of the Jacobian of the virtual linkage computed at the user’s hand. Simulations and controlled experiments performed using a planar haptic interaction system demonstrate that the proposed approach successfully constrains the users’ motion as required by the topology of the virtual linkage that they manipulate.
Dynamic Piezothermoelastic Responses of a Two-layered Composite Hollow Cylinder Constructed of Elastic and Pyroelectric Layers

Theoretical analysis is developed for an infinite composite hollow cylinder constructed of elastic and pyroelectric layers subjected to axisymmetric dynamic thermal loads. The solutions are based on piezothermoelastic theory. In terms of the charge equation of electrostatics, the radial electric displacement is first expressed as a product of a known function of radial coordinate and an unknown function of time. Then, the solution for the elastic field is obtained by the method of superposition. Finally, by means of the electric potential boundary conditions, a second kind of Volterra integral equation, which can be solved by the interpolation method, is derived to determine the unknown function of time. As a numerical experiment, the transient responses for the uniformly heated steel/CdSe composite hollow cylinder are illustrated graphically.
Bipolar gate drive integrated circuit for insulated gate bipolar transistor to achieve better tradeoff between the turn-off losses and collector voltage overshoot

A bipolar gate drive circuit considering the mitigation of the turn-off losses (E off) and the overshoot of the collector voltage (V OV) for the insulated gate bipolar transistor (IGBT) is proposed with 600 V bulk-silicon bipolar-complementary metal–oxide–semiconductor double-diffused metal–oxide–semiconductor technology. Feature of this study is that a differential output circuit and a self-adaptive turn-off gate resistance optimiser are used. By using the differential output circuit, only one power supply is needed to provide the bipolar gate control signal for the driven IGBT. With the proposed optimiser, the turn-off gate resistance can be self-adjusted according to the changing rate of the collector voltage (dV CE/dt) and collector current (dI CE/dt) during the turn-off process. Thus, the losses during the dV CE/dt phase and the dI CE/dt phase can be designed independently. Due to that the V OV is only depended on the dI CE/dt, the authors can reduce the V OV by 52% without sacrificing the total turn-off losses E off and a better trade-off can be achieved by using the proposed drive circuit, compared with the conventional one. Numerous formula analysis, simulations and experiments are performed to verify the above electrical characteristics.
Impact of Software Design Aspects on Usability

usability of software system specified how much user feels comfort and attract towards specific system environment, on the other hand Software designing is also an important factor affecting software system success. Usability is not a function of time although researchers have come up with various models and matrices relating these two concepts. It is very important quality attribute of software system. The success and failure of system in economic manner depends on the software usability, which is directly related to software design. This survey paper discusses on various aspects of designing and their effect on usability of system. Measurement in software is still in its initial stage and it has been found that modern day software's have become so complex that it directly affects the software usability. In this survey paper also discuss about various impacts that occur on usability due to software design complexity and discussed various methodologies and previous work related to design complexity and Usability separately as well as together, so that it will become easily analyze impact of software design on software usability.
The Study of the Role Analysis Method of Key Papers in the Academic Networks

In this study, we identified the problems of applying Guimera et al.’s [9] methods to a target network of articles in academic journals. Guimera et al. proposed both a clustering method and a role analysis model based on clustering. In concrete terms, they defined a Z-SCORE (Zi) and participation coefficient (Pi) as targets for metabolic networks. Although Guimera et al. methods were intended for application to metabolic networks, we believe they can be adapted to the citation networks formed by academic articles. We then proposed a new role analysis method and visualization system as a target of the academic article networks. Specifically, a unique algorithm is used to extract key articles from within clusters, after which role analysis is performed. The results are then evaluated by examining the availability of given academic articles. Finally, we performed a comparative evaluation of our method. Results showed that our method was able to show the movement of key paper innovation more clearly than Guimera et al.’s method.
Signature indexing of design layouts for hotspot detection

This work presents a new signature for 2D spatial configurations that is useful for the optimization of a hotspot detection process. The signature is a string of numbers representing changes along the horizontal and vertical slices of a configuration, which serves as the key of an inverted index that groups layout' windows with the same signature. The method extracts signatures from a compact specification of similar exact patterns with a fixed size. Then, these signatures are used as search keys of the inverted index to retrieve candidate windows that can match the patterns. Experimental results show that this simple type of signature has 100% recall and, in average, over 85% of precision in terms of the area effectively covered by the pattern and the retrieved area of the layout. In addition, the signature shows a good discriminate quality, since around 99% of the extracted signatures match each of them with a single pattern.
The enzymic interconversion of acetate and acetyl-coenzyme A in Escherichia coli.

Mutants of Escherichia coli K12 have been isolated that grow on media containing pyruvate of proline as sole carbon sources despite the presence of 10 or 50 mM-sodium fluoroacetate. Such mutants lack either acetate kinase [ATP: acetate phosphotransferase; EC 2.7. 2.1] or phosphotransacetylase [acetyl-CoA: orthophosphate acetyltransferase; EC 2.3. 1.8] activity. Unlike wild-type E. coli, phosphotransacetylase mutants do not excrete acetate when growing aerobically or anaerobically on glucose; their anaerobic growth on this sugar is slow. The genes that specify acetate kinase (ack) and phosphotransacetylase (pta) activities are cotransducible with each other and with purF and are thus located at about min 50 on the E. coli linkage map. Although Pta- and Ack- mutants are greatly impaired in their growth on acetate, they incorporate [2-14C]acetate added to cultures growing on glycerol, but not on glucose. An inducible acetyl-CoA synthetase [acetate: CoA ligase (AMP-forming); EC 6.2.1.1] effects this uptake of acetate.
Performance Comparison of Wiener Filter and CLS Filter on 2D Signals

Images acquired by optical, electro optical or electronic means are likely to be degraded by the sensing environment. The degradations may be in the form of sensor noise, blur due to camera misfocus, relative camera motion, random atmospheric turbulence, and so on. Image restoration is concerned with filtering the observed image to minimize the effect of degradation. The effectiveness of image restoration filters depends on the extent and accuracy of the knowledge of the degradation process as well as on the filter design criterion. In this paper, we have considered the performance of Wiener and (CLS) constrained least square filtering methods on the basis of noise to signal ratios, image power, noise power and histograms on restoration images.
SORASCS: a case study in soa-based platform design for socio-cultural analysis

An increasingly important class of software-based systems is platforms that permit integration of third-party components, services, and tools. Service-Oriented Architecture (SOA) is one such platform that has been successful in providing integration and distribution in the business domain, and could be effective in other domains (e.g., scientific computing, healthcare, and complex decision making). In this paper, we discuss our application of SOA to provide an integration platform for socio-cultural analysis, a domain that, through models, tries to understand, analyze and predict relationships in large complex social systems. In developing this platform, called SORASCS, we had to overcome issues we believe are generally applicable to any application of SOA within a domain that involves technically naïve users and seeks to establish a sustainable software ecosystem based on a common integration platform. We discuss these issues, the lessons learned about the kinds of problems that occur, and pathways toward a solution.
Using Integer Programming for Workflow Scheduling in the Cloud

We study a fundamental problem of how to schedule complex workflows in the cloud for applications such as data analytics. One of the main challenges is that such workflow scheduling problems involve many constraints, requirements and varied objectives and it is extremely difficult to find high-quality solutions. To meet the challenge, we explore using mixed integer programming (MIP) to formulate and solve complex workflow scheduling problems. To illustrate the MIP-based method, we formulate three related workflow scheduling problems in MIP. They are fairly generic, comprehensive and are expected to be useful for a wide range of workflow scheduling scenarios. Using results from numerical experiments, we demonstrate that, for problems up to certain size, the MIP approach is entirely applicable and more advantageous over heuristic algorithms.
Genome-wide scan of additional Jewish families confirms linkage of a myopia susceptibility locus to chromosome 22q12.

PURPOSE A genome-wide scan was previously reported for myopia in Ashkenazi Jews. In order to confirm the previous linkage peaks, a collection of DNA samples from 19 new Ashkenazi Jewish families were tested for linkage in a genome wide scan. METHODS Families were ascertained from an Orthodox Ashkenazi Jewish community through mailings. Myopia was defined as equal to or greater than -1 diopter in both meridians in both eyes. The genome wide scan used markers from a modified Cooperative Human Linkage Center version 9 (402 markers). Parametric two-point linkage was calculated with FASTLINK while multipoint linkage was calculated with GENEHUNTER. RESULTS The results for the 19 families demonstrated several regions of suggestive linkage on chromosomes 7, 1, 17, and 22. A combined analysis of the 19 families and 44 previously reported families demonstrated an increase in the LOD score to 4.73 for the chromosome 22 locus. CONCLUSIONS Multiple chromosomal regions have exhibited some evidence of linkage to a myopia susceptibility gene in this Ashkenazi Jewish population. The strongest evidence of linkage to such a susceptibility gene in these data is on chromosome 22.