Miracle-dz/UniFAR-FTUs huggingface dataset:
gp74 a membrane glycoprotein of the cis-Golgi network that cycles through the endoplasmic reticulum and intermediate compartment

A monoclonal antibody CC92 (IgM), raised against a fraction of rat liver enriched in Golgi membranes, recognizes a novel Endo H-resistant 74-kD membrane glycoprotein (gp74). The bulk of gp74 is confined to the cis-Golgi network (CGN). Outside the Golgi gp74 is found in tubulovesicular structures and ER foci. In cells incubated at 37 degrees C the majority of gp74 is segregated from the intermediate compartment (IC) marker p58. However, in cells treated with organelle perturbants such as low temperature, BFA, and [AIF4]- the patterns of the two proteins become indistinguishable. Both proteins are retained in the Golgi complex at 20 degrees C and in the IC at 15 degrees C. Incubation of cells with BFA results in relocation of gp74 to p58 positive IC elements. [AIF4]- induces the redistribution of gp74 from the Golgi to p58-positive vesicles and does not retard the translocation of gp74 to IC elements in cells treated with BFA. Disruption of microtubules by nocodazol results in the rapid disappearance of the Golgi elements stained by gp74 and redistribution of the protein into vesicle-like structures. The responses of gp74 to cell perturbants are in sharp contrast with those of cis/middle and trans-Golgi resident proteins whose location is not affected by low temperatures or [AIF4]-, are translocated to the ER upon addition of BFA, and stay in slow disintegrating Golgi elements in cells treated with nocodazol. The results suggest that gp74 is an itinerant protein that resides most of the time in the CGN and cycles through the ER/IC following the pathway used by p58.
Social Media and Its Effectiveness in the Political Reform Movement in Egypt

This article examines the role of social media in political and social revolution in Egypt. It reveals how social media enhanced and ignited people’s desire for democracy and socio-economic advancement stalled by the long term authoritarian government. The main focus is on the importance of social media as a platform for discussion of ideas, experiences, and knowledge exchange: The big social media networks like Facebook and Twitter and individual blogs have emerged as powerful channels that allowed people in Egypt to bypass government censorship, spread the words of political reform, and break the barrier of fear. They mobilized millions of citizens to participate in political action and emerged as authoring agents and organizational power structures. The paper includes information about the demographics, education, and young age of the population of Egypt contributing to the political uprisings. This journal article is available in Middle East Media Educator: http://ro.uow. edu.au/meme/vol1/iss1/3 14 15 Middle East Media Educator
Intuitive control for robotic rehabilitation devices by human-machine interface with EMG and EEG signals

This article presents a system of intuitive control the upper extremity exoskeleton and other mechatronic devices with EMG and EEG for people with different degrees of musculoskeletal system damage. The technology let control an apparatus by thinking about it. Various identification methods for control signals like neural networks, wavelet analysis, fastICA, Fourier series are given below. Algorithms were tested on real objects and simulator.
On a Class of Discrete Generation Interacting Particle Systems

The asymptotic behavior of a general class of discrete generation interacting particle systems is discussed. We provide L p -mean error estimates for their empirical measure on path space and present sufficient conditions for uniform convergence of the particle density profiles with respect to the time parameter. Several examples including mean field particle models, genetic schemes and McKean's Maxwellian gases will also be given. In the context of Feynman-Kac type limiting distributions we also prove central limit theorems and we start a variance comparison for two generic particle approximating models.
Classical simulation complexity of extended Clifford circuits

Clifford gates are a winsome class of quantum operations combining mathematical elegance with physical significance. The Gottesman-Knill theorem asserts that Clifford computations can be classically efficiently simulated but this is true only in a suitably restricted setting. Here we consider Clifford computations with a variety of additional ingredients: (a) strong vs. weak simulation, (b) inputs being computational basis states vs. general product states, (c) adaptive vs. non-adaptive choices of gates for circuits involving intermediate measurements, (d) single line outputs vs. multi-line outputs. We consider the classical simulation complexity of all combinations of these ingredients and show that many are not classically efficiently simulatable (subject to common complexity assumptions such as P not equal to NP). Our results reveal a surprising proximity of classical to quantum computing power viz. a class of classically simulatable quantum circuits which yields universal quantum computation if extended by a purely classical additional ingredient that does not extend the class of quantum processes occurring.
. Introduction 1.1. Overview of the Thesis 2. the Semantic Web and Digital Museums 2.1. the Semantic Web

The increasing adoption of the Semantic Web vision has led to the emergence of a distributed knowledge base in the form of interconnected ontologies. In the context of cultural heritage in particular, digital museums that use Semantic Web standards and technologies, hereafter called Semantic Web museums, have been proposed. Current Semantic Web museums, however, support mostly static exhibitions, meaning exhibitions based on static narrative structures. By contrast, this thesis proposes a new kind of Semantic Web museum that also supports dynamic exhibitions, meaning exhibitions based on narrative structures that change dynamically during to the user's interaction. Apart from Semantic Web technologies, the proposals of this thesis are based on ideas from narrative theories and interactive storytelling systems. More specifically, the thesis proposes a theoretical framework for building Semantic Web museums, which provides facilities of increasing complexity, including presentation schemata, transitions between presentation schemata, and narrative functions. An experimental prototype of the proposed framework was also implemented during the thesis, and it was used to demonstrate how the framework supports the creation of Semantic Web museums with different types of end-user interaction. Chapter 2 presents background concepts from traditional and digital museums. A number of desired characteristics for Semantic Web museum are also identified. Finally, an overview of the framework of this thesis is given. Chapter 3 presents some background concepts from narrative theory and interactive storytelling systems, also discussing their roles in museum exhibitions. Chapter 4 discusses the knowledge representation structures used by the framework of this thesis, also explaining their purpose during the authoring of a new exhibition and when visitors interact with an exhibition. Chapter 5 explains how the knowledge representation structures of the previous chapter can be combined, resulting in different kinds of exhibitions. It also explains how the exhibition manager, the heart of the proposed framework, uses the knowledge representation structures, and how it interacts with visitors. Chapter 6 discusses the experimental prototype, which implements the framework of this thesis, and the trials that were conducted using the prototype. The invention of the World Wide Web by Tim Berners-Lee in 1990 revolutionized the use of the Internet. From a network of networks for experts and researchers, the Internet became a global web of data, published by anybody and consumed by anybody. The rapid growth of the World Wide Web made the use of search engines mandatory. The vast majority of the Web's information, however, is in …
Generating Effective Integration Test Cases from Unit Ones

Unit testing aims to ensure that methods correctly implement the specified and implied pre- and post-conditions, while integration testing ensures that modules correctly follow interaction protocols. While the generation of unit test cases has been explored extensively in the literature, there is still little work on the generation of integration test cases. In this paper we present a new technique to generate integration test cases that leverages existing unit test cases. Our key observation is that both, unit and integration testing, use method calls as the atoms to construct test cases from. Unit tests contain information on how to instantiate classes in meaningful ways, how to construct arguments for method calls, and what the resulting system state should be after calling methods with those arguments. We use this information to construct more complex test cases that focus on class interactions rather than on individual state transformations caused by single method calls. This paper presents the approach and shows that the generated test cases can find interesting faults, compared to test suites generated with state of the art approaches.
Predicting complex phenotype–genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory

There is an increasing use of systems biology approaches in both “red” and “white” biotechnology in order to enable medical, medicinal, and industrial applications. The intricate links between genotype and phenotype may be explained through the use of the tools developed in systems biology, synthetic biology, and evolutionary engineering. Biomedical and biotechnological research are among the fields that could benefit most from the elucidation of this complex relationship. Researchers have studied fitness extensively to explain the phenotypic impacts of genetic variations. This elaborate network of dependencies and relationships so revealed are further complicated by the influence of environmental effects that present major challenges to our achieving an understanding of the cellular mechanisms leading to healthy or diseased phenotypes or optimized production yields. An improved comprehension of complex genotype–phenotype interactions and their accurate prediction should enable us to more effectively engineer yeast as a cell factory and to use it as a living model of human or pathogen cells in intelligent screens for new drugs. This review presents different methods and approaches undertaken toward improving our understanding and prediction of the growth phenotype of the yeast Saccharomyces cerevisiae as both a model and a production organism.
Decoherence of two-qubit systems: a random matrix description

We study decoherence of two non-interacting qubits. The environment and its interaction with the qubits are modelled by random matrices. Decoherence, measured in terms of purity, is calculated in linear response approximation. Monte Carlo simulations illustrate the validity of this approximation and of its extension by exponentiation. The results up to this point are also used to study one-qubit decoherence. Purity decay of entangled and product states are qualitatively similar though for the latter case it is slower. Numerical studies for a Bell pair as initial state reveal a one to one correspondence between its decoherence and its internal entanglement decay. For strong and intermediate coupling to the environment this correspondence agrees with the one for Werner states. In the limit of a large environment the evolution induces a unital channel in the two qubits, providing a partial explanation for the above relation.
Measurement-Based Admission Control : A Revisit

Measurement-based admission control (MBAC) is an important technique for providing statistical service guarantees and many MBAC algorithms have been proposed in the literature. It has also been investigated in a previous work that these algorithms achieve nearly the same utilization for a given packet loss rate or in short the same loss-load curve. Based on this investigation, it has been argued that further research on better MBAC equations will likely be a fruitless endeavor since there is little room to improve existing algorithms in terms of utilization. In this paper, we investigate why the MBAC algorithms investigated in the previous work have the same loss-load curve. We find this not surprising. We hence argue that it should be other issues than the loss-load curve that should be taken into account in designing an MBAC algorithm. Based on this argument, we revisit the assumptions made by these MBAC algorithms and examine the rationales of these assumptions when these MBAC algorithms are used in different network scenarios. Finally, we discuss some remaining challenges for MBAC research.
A hybrid on-chip network with a low buffer requirement

As the CMOS technology develops, the number of buffers required in a network-on-chip increases with flit width. This increase of buffers provides more power and area overhead to a network router. This paper proposes a hybrid packet-switched and circuit-switched network in which the total buffer requirement depends on only the width of the short message and buffer depth, and does not increase with the network width. The performance is maintained through a low latency circuit-switch by using a simple reverse path reservation method. The simulation results indicated that a considerable amount of power and area can be saved by the buffer reduction, whereas performance is maintained.
Solute Concentrations Influence Microbial Methanogenesis in Coal-bearing Strata of the Cherokee Basin, USA

Microorganisms have contributed significantly to subsurface energy resources by converting organic matter in hydrocarbon reservoirs into methane, the main component of natural gas. In this study, we consider environmental controls on microbial populations in coal-bearing strata of the Cherokee basin, an unconventional natural gas resource in southeast Kansas, USA. Pennsylvanian-age strata in the basin contain numerous thin (0.4–1.1 m) coalbeds with marginal thermal maturities (0.5–0.7% Ro) that are interbedded with shale and sandstone. We collected gas, water, and microbe samples from 16 commercial coalbed methane wells for geochemical and microbiological analysis. The water samples were Na–Cl type with total dissolved solids (TDS) content ranging from 34.9 to 91.3 g L−1. Gas dryness values [C1/(C2 + C3)] averaged 2640 and carbon and hydrogen isotope ratios of methane differed from those of carbon dioxide and water, respectively, by an average of 65 and 183‰. These values are thought to be consistent with gas that formed primarily by hydrogenotrophic methanogenesis. Results from cultivation assays and taxonomic analysis of 16S rRNA genes agree with the geochemical results. Cultivable methanogens were present in every sample tested, methanogen sequences dominate the archaeal community in each sample (avg 91%), and few archaeal sequences (avg 4.2%) were classified within Methanosarcinales, an order of methanogens known to contain methylotrophic methanogens. Although hydrogenotrophs appear dominant, geochemical and microbial analyses both indicate that the proportion of methane generated by acetoclastic methanogens increases with the solute content of formation water, a trend that is contrary to existing conceptual models. Consistent with this trend, beta diversity analyses show that archaeal diversity significantly correlates with formation water solute content. In contrast, bacterial diversity more strongly correlates with location than solute content, possibly as a result of spatial variation in the thermal maturity of the coalbeds.
Information Extraction Systems and Nominal Anaphora Analysis Needs

This paper presents the needs for anaphora analysis in Information Extraction from practical point of view. It depicts the problem of anaphora phenomenon and its role in texts together with corpus examples. It encloses a short survey of the computational treatment of nominal anaphora. In the end, a uniform approach for nominal anaphora analysis is proposed. Moreover, the paper describes requirements for corpus preparation and framework implementation.
Laptops vs. Desktops in a Google Groups Environment: A Study on Collaborative Learning

Current literature on m-learning refers to the lack of studies on real use of m-learning applications and how they can compete with current desktop counterparts. The study consists of an experiment involving one hundred and twelve students of higher education and a set of learning activities that they have to accomplish. This study has the main objective to validate if the students that use laptops or desktops are in the flow experience and which of them are more in the flow experience, when using Google Groups. The used approach is based on the flow experience introduced by [1]. It was possible to conclude that students have experienced the flow state both by students using laptops or desktops, but having the laptop students a more positive effect in the flow experience.
ICFHR 2014 Competition on Recognition of On-Line Handwritten Mathematical Expressions (CROHME 2014)

We present the outcome of the latest edition of the CROHME competition, dedicated to on-line handwritten mathematical expression recognition. In addition to the standard full expression recognition task from previous competitions, CROHME 2014 features two new tasks. The first is dedicated to isolated symbol recognition including a reject option for invalid symbol hypotheses, and the second concerns recognizing expressions that contain matrices. System performance is improving relative to previous competitions. Data and evaluation tools used for the competition are publicly available.
Characterization of skin lesions

Malignant melanoma is the deadliest form among all skin cancers. Fortunately, if detected early, even malignant melanoma may be treated successfully. In this paper, a new intelligent method of classifying benign and malignant melanoma lesions is used. As the first step of the image analysis, preprocessing techniques are used to remove noise and undesired structures from the images using filter such as median filtering. Segmentation is one of the important steps in cancer automatic detection, because it can greatly affect on the results of detection. In the second step, a simple thresholding method is used to segment and localize the lesion, a boundary tracing algorithm is also implemented to validate the segmentation. In the third step, the different features are extracted from a segmented image and classified by using Stolz algorithm.
A Comprehensive Approach for Decision-Making in the Development of E-Learning Instruction in Private Sector Organizations

Literature indicates that there is limited research on the organizational decision processes to develop and deliver e-learning programs. In this paper, existing e-learning literature is analyzed in terms of macro level factors (national culture and organizational variables) and micro level factors (learner variables, instructional decisions, faculty development, and technical considerations) for instructional development. From the comparison of current e-learning development frameworks, we propose a comprehensive approach of e-learning development to be used by e-learning designers.
Irregular G-quadruplexes Found in the Untranslated Regions of Human mRNAs Influence Translation*

G-quadruplex structures are composed of coplanar guanines and are found in both DNA and RNA. They are formed by the stacking of two or more G-quartets that are linked together by three loops. The current belief is that RNA G-quadruplexes include loops of l to 7 nucleotides in length, although recent evidence indicates that the central loop (loop 2) can be longer if loops 1 and 3 are limited to a single nucleotide each. With the objective of broadening the definition of irregular RNA G-quadruplexes, a bioinformatic search was performed to find potential G-quadruplexes located in the untranslated regions of human mRNAs (i.e. in the 5′ and 3′-UTRs) that contain either a long loop 1 or 3 of up to 40 nucleotides in length. RNA molecules including the potential sequences were then synthesized and examined in vitro by in-line probing for the formation of G-quadruplex structures. The sequences that adopted a G-quadruplex structure were cloned into a luciferase dual vector and examined for their ability to modulate translation in cellulo. Some irregular G-quadruplexes were observed to either promote or repress translation regardless of the position or the size of the long loop they possessed. Even if the composition of a RNA G-quadruplex is not quite completely understood, the results presented in this report clearly demonstrate that what defines a RNA G-quadruplex is much broader than what we previously believed.
Effect of Hold Time on Low Cycle Fatigue Life of Micro Solder Joint

Effect of holding time and temperature on the fatigue life of micro Sn-Ag-Cu solder joint has been studied with waveform of triangle and trapezoid wave at 298 K and 398 K. Both the microstructural coarsening and the crack propagation occurred simultaneously and therefore the cyclic load decreased rapidly in the trapezoidal wave at 398 K compared with the other conditions. Therefore, under the condition of waveform that includes holding time at high temperature, it is necessary to define fatigue life by considering crack length, although the load drop life definition is typically employed for the low cycle fatigue evaluation. The fatigue life of Sn-Ag-Cu micro solder joints is not strongly affected by temperature and holding time when the crack length is considered to define fatigue life. This is different form the trends in large scale bulk specimen and is attributed to the peculiar microstructure of the Sn-Ag-Cu.
The Relationship between E-Marketing Strategy and Performance: A Conceptual Framework in a Web Context

While building on the contingency theory, this paper proposes a conceptual framework that links five factors: a) internal forces, b) external forces, c) past web and firm performance, d) current web and firm performance, and e) e-marketing strategy in terms of the strategy defined for the 4Ws (Web-Design, Web-Promotion, Web-Price, and Web-CRM). Future research is encouraged to build on this framework to test how internal and external forces of the firm, along with its past performance, influence the determination of e-marketing strategy and how in turn, e-marketing strategy impacts on performance at the web and firm levels.
Characterising Facial Gender Difference Using Fisher-Rao Metric

The aim in this paper is to explore whether the Fisher-Rao metric can be used to measure different facets of facial shape estimated from fields of surface normals using the von-Mises Fisher distribution. In particular we aim to characterise the shape changes due to differences in gender. We make use of the von-Mises Fisher distribution since we are dealing with surface normal data over the sphere R^2. Finally, we show the results achieved using EAR and Max Planck datasets.
1 WORKPLACE LEARNING COMMUNITIES; HORIZONTAL AND VERTICAL?

This empirical study of opportunities for learning in a hospital contributes to the discussion of learning at work and particularly the notion of workplace learning as a horizontal community. Horizontal communities, although focused as such in existing literature, are found to be scarce in this study due to division of labor and physical layout. The horizontal communities seldom reach the in situ domain, and contrary to what is proclaimed in the normative literature, the horizontal interaction seems to be further afar from the task performance itself than what is labeled here as vertical communities appear to be. 1 Etty R. Nilsen, Buskerud University College, Postboks 235, 3603 Kongsberg, Norway. Telephone: +47 97021325, Fax: +47 32 11 71 10, etty.nilsen@hibu.no