Miracle-dz/UniFAR-FTUs huggingface dataset:
European Conference on Information Systems ( ECIS ) 2008 Design Games as a Part of Social Practice Design : A Case of Employees Elaborating on Organizational Problems

This paper describes the experiences of practicing ‘social practice design’ with two user groups in a small company producing virtual electronic components. Based on an ethnographic study of ongoing production work and meetings in this company we identified several core problems which were expressed in terms of ‘how can we overcome this problem’ questions, among them: ‘How to acquire a business management culture’ and ‘How to change from being sophisticated contractors to a profitable brand’. These questions were addressed by the two user groups in the form of two design games – the organizational game kit and the creative product design game. The paper describes how these design games facilitated vision creation, enabling participants to act as change agents. The design games helped them voice their concern and get a common understanding. The physical objects that served as game elements supported their engagement. Image cards and organization building blocks served as thinking tools – we could observe participants selecting, picking up, moving, labelling these elements, thereby enacting ideas whilst talking. The playful and fun aspect of a game activated participants to engage, explore options, and enter the realm of the imaginary. They helped establish a situation of trust and confidentiality.
The 3′ Untranslated Region of the Rabies Virus Glycoprotein mRNA Specifically Interacts with Cellular PCBP2 Protein and Promotes Transcript Stability

Viral polymerase entry and pausing at intergenic junctions is predicted to lead to a defined polarity in the levels of rhabdovirus gene expression. Interestingly, we observed that the rabies virus glycoprotein mRNA is differentially over-expressed based on this model relative to other transcripts during infection of 293T cells. During infection, the rabies virus glycoprotein mRNA also selectively interacts with the cellular poly(rC)-binding protein 2 (PCBP2), a factor known to influence mRNA stability. Reporter assays performed both in electroporated cells and in a cell-free RNA decay system indicate that the conserved portion of the 3′ UTR of the rabies virus glycoprotein mRNA contains an RNA stability element. PCBP2 specifically interacts with reporter transcripts containing this 72 base 3′ UTR sequence. Furthermore, the PCBP2 interaction is directly associated with the stability of reporter transcripts. Therefore, we conclude that PCBP2 specifically and selectively interacts with the rabies virus glycoprotein mRNA and that this interaction may contribute to the post-transcriptional regulation of glycoprotein expression.
The Arabidopsis gene MONOPTEROS encodes a transcription factor mediating embryo axis formation and vascular development

The vascular tissues of flowering plants form networks of interconnected cells throughout the plant body. The molecular mechanisms directing the routes of vascular strands and ensuring tissue continuity within the vascular system are not known, but are likely to depend on general cues directing plant cell orientation along the apical–basal axis. Mutations in the Arabidopsis gene MONOPTEROS (MP) interfere with the formation of vascular strands at all stages and also with the initiation of the body axis in the early embryo. Here we report the isolation of the MP gene by positional cloning. The predicted protein product contains functional nuclear localization sequences and a DNA binding domain highly similar to a domain shown to bind to control elements of auxin inducible promoters. During embryogenesis, as well as organ development, MP is initially expressed in broad domains that become gradually confined towards the vascular tissues. These observations suggest that the MP gene has an early function in the establishment of vascular and body patterns in embryonic and post‐embryonic development.
Design and Implementation of a Real-Time Video-Based Rendering System Using a Network Camera Array

We present a real-time video-based rendering system using a network camera array. Our system consists of 64 commodity network cameras that are connected to a single PC through a gigabit Ethernet. To render a high-quality novel view, our system estimates a view-dependent per-pixel depth map in real time by using a layered representation. The rendering algorithm is fully implemented on the GPU, which allows our system to efficiently perform capturing and rendering processes as a pipeline by using the CPU and GPU independently. Using QVGA input video resolution, our system renders a free-viewpoint video at up to 30 frames per second, depending on the output video resolution and the number of depth layers. Experimental results show high-quality images synthesized from various scenes.
Causal and Semantic Relatedness in Discourse Understanding and Representation

Processing time and memory for sentences were examined as a function of the degree of semantic and causal relatedness between sentences in short narratives. In Experiments 1-2B, semantic and causal relatedness between sentence pairs was independently manipulated. Causal relatedness was assessed through pretesting and semantic relatedness was assessed with Latent Semantic Analysis. Causal relatedness influenced processing time and memory. Semantic relatedness influenced memory, and influenced processing time when causality was not manipulated within an experiment and the situation described by the sentence pairs was somewhat difficult to construct. Experiment 3 utilized naturalistic texts. Semantic and causal relatedness between sentences influenced online judgments of fit and free recall. Results are discussed in terms of bottom-up and top-down theories of text processing.
Sip1, a Novel RS Domain-Containing Protein Essential for Pre-mRNA Splicing

ABSTRACT Previous studies have shown that protein-protein interactions among splicing factors may play an important role in pre-mRNA splicing. We report here identification and functional characterization of a new splicing factor, Sip1 (SC35-interacting protein 1). Sip1 was initially identified by virtue of its interaction with SC35, a splicing factor of the SR family. Sip1 interacts with not only several SR proteins but also with U1-70K and U2AF65, proteins associated with 5′ and 3′ splice sites, respectively. The predicted Sip1 sequence contains an arginine-serine-rich (RS) domain but does not have any known RNA-binding motifs, indicating that it is not a member of the SR family. Sip1 also contains a region with weak sequence similarity to the Drosophila splicing regulator suppressor of white apricot (SWAP). An essential role for Sip1 in pre-mRNA splicing was suggested by the observation that anti-Sip1 antibodies depleted splicing activity from HeLa nuclear extract. Purified recombinant Sip1 protein, but not other RS domain-containing proteins such as SC35, ASF/SF2, and U2AF65, restored the splicing activity of the Sip1-immunodepleted extract. Addition of U2AF65 protein further enhanced the splicing reconstitution by the Sip1 protein. Deficiency in the formation of both A and B splicing complexes in the Sip1-depleted nuclear extract indicates an important role of Sip1 in spliceosome assembly. Together, these results demonstrate that Sip1 is a novel RS domain-containing protein required for pre-mRNA splicing and that the functional role of Sip1 in splicing is distinct from those of known RS domain-containing splicing factors.
A Dynamic Customizable Model for Component-Based Embedded Systems

Recent years have witnessed the rapid growth in the field of embedded systems (ES). Due to the diversity of client-specific requirements from embedded or mobile applications, flexible design or/and dynamic customization for embedded systems are receiving more and more attention from researchers and developers. To ease the process of implementation and deployment of embedded systems, plenty of component-based frameworks and models are proposed, which settle the existing issues to some extent and boost the development of embedded systems. However, many problems, e.g. lowness in tailoring ability of components and poorness in code reusability are mainly left unsolved. To rectify the subsistent problems, this paper presents a new smart and dynamic customization embedded component based model (SDCECM). SDCECM that allows the developers to dynamically customize SDCECM standard compliant components without exiting host system optimizes the component construction architecture, component services and component assembling and deployment to satisfy the requirement of the development embedded systems.
An improved CPSO algorithm

This paper presents an improved particle swarm optimization algorithm (CPSO) in which corrective procedure was introduced. The aim of this corrective procedure is to set new, better velocities for some particles when their present velocities are inefficient. New velocities are the functions of previous and current velocities. The presented algorithm was tested with a set of benchmark functions and analyzed both in terms of their efficiency, premature convergence and the ability to avoid local optima. The results of the tests were compared with those obtained through the standard PSO and IPSO to demonstrate the superiority of CPSO.
Control issues for velocity sourced series elastic actuators

The Series Elasic Actuator has been proposed as a method for providing safe force or torque based acutation for robots that interact with humans. In this paper we look at some outstanding issues in the implementaion and control of Series Elastic Actuators. The study addresses issues in making the Series Elastic Actuator respond effectively in the presence of physical difficulties such as stiction, using a computation efficient controller. The improvement over previous implementations is achieved by treating the motor as a velocity source to the elastic element, rather than as a torque source.
Networked control systems: Time delays and robust control design issues

Networked control system (NCS) has received considerable attention in the last 15 years. The interest is stimulated by the fast development of communication in computer based control system technologies that offers many benefits in integrating production planning and control. Unfortunately, the network induces imperfections and constraints in control system implementation. One of these limitations which affects the NCS is varying communication delays. The paper shows the occurrence of varying time delays in wireline or wireless network and considers robust control design methods to handle the delay uncertainties.
Gender Differences in Decision Making Processes : A Computerized Experiment

The purpose of this paper is to evaluate the differences between men and women in foreign policy decision making. The study focuses on the differences in biases in decision making, the differences between satisficing and maximizing approaches by both genders, the differences between strategy selection, and the difference between holistic and non-holistic decision making by both genders. The findings demonstrate, that both men and women have similarities and differences in various aspects of the decision making process. The importance of these findings is also discussed in this paper.
Delay constraints for multiple applications in wireless sensor networks

Sensors are capable of supporting multiple applications concurrently. Recent works reveal several possibilities of running multiple applications in a wireless sensor network. In this work, we introduce the compression factor to quantify the change of the message length due to the aggregations of application messages. Delay constraints are introduced for two communication paradigms in wireless sensor networks, 1) the routing-based paradigm where sinks are specified and the routing trees are built for the aggregation; 2) the random-gossiping paradigm where aggregations are done by sensor nodes randomly communicating with the neighbour sensor nodes without specifying the sinks. Optimization problems which minimize the total energy consumption in the network are proposed for the two communication paradigms with the corresponding delay constraints. An example of a wireless sensor network with three sensor nodes and two concurrently running applications is used to demonstrate the optimization problems. Simulation results shows how compression factors affect the energy consumption while the message length of the application is increasing.
Research on drug resistance mechanism of trastuzumab caused by activation of the PI3K/Akt signaling pathway

Aim of the study To discuss the activation of the signal transduction pathway of phosphatidylinositol 3’-kinase/serine-threonine kinase (PI3K/Akt), one of the important targets of drug resistance of trastuzumab, which provides a theoretical basis for the targeted therapy of drug resistance of trastuzumab in breast cancer. Material and methods Establish the drug-resistance sub-strain BT-HerR of trastuzumab for the continuous treatment of human breast cancer cell strain BT474, conduct Her-2 phenotype analysis on the drug-resistance cell strain BT-HerR with the FISH method, detect the proliferation inhibition in vitro of trastuzumab to BT474 and BT-HerR cells with the MTT method, detect the apoptosis variation after interference of trastuzumab with a flow cytometer and detect p-Akt and apoptosis-related protein expression with Western blot after PI3K/Akt inhibitor LY294002 interferes with the cells. Results The gene expression of drug-resistance cell strain BT-HerR Her-2 is strongly positive; 72 hours after interference of trastuzumab, the proliferation in vitro of the BT474 and BT-HerR cells is inhibited, which is strengthened with the increase of concentration, showing a significant difference (p < 0.01); after treatment of trastuzumab, comparison of the cell apoptosis rate of BT474 and BT-HerR shows a significant difference (p < 0.01); trastuzumab can only inhibit the Akt protein phosphorylation of BT474, while LY294002 can inhibit the BT-HerR and BT474 Akt protein phosphorylation simultaneously. Conclusions Akt protein phosphorylation of trastuzumab drug-resistance cells is activated; LY294002, a PI3K/Akt inhibitor, can obviously inhibit Akt protein phosphorylation of trastuzumab drug-resistance cells and there is a clear association between the PI3K/Akt signal transduction pathway and trastuzumab resistance.
Performance Comparison of Different Lexicons for Sentiment Analysis in Arabic

This paper deals with the lexicon-based approach in document-level and sentence e-level sentiment analysis (SA) in Arabic. We experimented four different lexicons, a translation of Harvard IV-4 Dictionary (HarvardA), translation of the MPQA subjectivity lexicon developed by Pittsburgh University (HRMA) and two different implementation of MPQA. We evaluated all four lexicons with three datasets from different domains, one of them is about health comments (PatientJo), the second is from Twitter data, and the third is about books reviews (LABR). For sentence level SA, we suggested six different methods for sentiment values and document polarity. The results show that the HRMA lexicon performs better than other lexicons in LABR while HarvardA perform better in PatientJo dataset. The results show that lexicon-based approach for document-level and sentence-level methods produce similar performance. We observed that giving extra weight for the first and last sentences in sentence level approach improves the overall performance in terms of accuracy.
Yeast ribosomal protein L10 helps coordinate tRNA movement through the large subunit

Yeast ribosomal protein L10 (E. coli L16) is located at the center of a topological nexus that connects many functional regions of the large subunit. This essential protein has previously been implicated in processes as diverse as ribosome biogenesis, translational fidelity and mRNA stability. Here, the inability to maintain the yeast Killer virus was used as a proxy for large subunit defects to identify a series of L10 mutants. These mapped to roughly four discrete regions of the protein. A detailed analysis of mutants located in the N-terminal ‘hook’ of L10, which inserts into the bulge of 25S rRNA helix 89, revealed strong effects on rRNA structure corresponding to the entire path taken by the tRNA 3′ end as it moves through the large subunit during the elongation cycle. The mutant-induced structural changes are wide-ranging, affecting ribosome biogenesis, elongation factor binding, drug resistance/hypersensitivity, translational fidelity and virus maintenance. The importance of L10 as a potential transducer of information through the ribosome, and of a possible role of its N-terminal domain in switching between the pre- and post-translocational states are discussed.
Product Design Schemes Evaluation Method with Qualitative Weight Information

To evaluate product design schemes with qualitative information on indices weights, we introduce data envelopment analysis (DEA) and analyze its disadvantages in processing qualitative weight information, and then propose a modified DEA model. In the method, first, evaluation indices are normalized. Secondly, based on the normalized indices and qualitative weight information, we present a DEA model with outputs only and preference information to calculate synthesized attribute values of schemes. Experiment results show that the method can not only evaluate products with complete and incomplete qualitative weight information, but also with entirely unknown weight information.
Semantics for Privacy and Shared Context

Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information requires a rich and expressive representation that is grounded in shared semantic models. We summarize some of our past work on representing and using context models and briefly describe Triveni, a system for cross-device context discovery and enrichment. Triveni represents context in RDF and OWL and reasons over context models to infer additional information and detect and resolve ambiguities and inconsistencies. A unique feature, its ability to create and manage "contextual groups" of users in an environment, enables their members to share context information using wireless ad-hoc networks. Thus, it enriches the information about a user's context by creating mobile ad hoc knowledge networks.
Toward Interpreting Spatial Language Discourse with Grounding Graphs

In order to interact naturally with humans, robots must be able to engage in natural language dialog with their human teammate. To do so they need to model not only the state of the world but also the state of the interaction with the human user. In this paper we present an algorithm for understanding dialog in which information from multiple di alog turns is dynamically integrated into a probabilistic graphical model. Inference in the joint model enables the robot to find groundings in the world that correspond to the language across multiple dialog acts. To make inference efficient we model th e interaction state as a probabilistic model called Generali zed Grounding Graphs (G), which is dynamically instantiated from the natural language according to the hierarchical and compositional semantic structure of the utterances. Our previ ous work showed that a G model can find and execute plans corresponding to a single natural language command for mobi le manipulation. This paper extends the G model to support multi-turn dialog interaction and demonstrates its application on several examples; a full implementation and evaluation remain future work. Unifying the representations of a single command and a dialogue allows the training and inference algorithmsto be the same for both problems.
Temporary Dietary Iron Restriction Affects the Process of Thrombus Resolution in a Rat Model of Deep Vein Thrombosis

Background Deep vein thrombosis (DVT) is a major cause of pulmonary thromboembolism and sudden death. Thus, it is important to consider the pathophysiology of DVT. Recently, iron has been reported to be associated with thrombotic diseases. Hence, in this study, we investigate the effects of dietary iron restriction on the process of thrombus resolution in a rat model of DVT. Methods We induced DVT in 8-week-old male Sprague-Dawley rats by performing ligations of their inferior venae cavae. The rats were then given either a normal diet (DVT group) or an iron-restricted diet (DVT+IR group). Thrombosed inferior venae cavae were harvested at 5 days after ligation. Results The iron-restricted diet reduced venous thrombus size compared to the normal diet. Intrathrombotic collagen content was diminished in the DVT+IR group compared to the DVT group. In addition, intrathrombotic gene expression and the activity of matrix metalloproteinase-9 were increased in the DVT+IR group compared to the DVT group. Furthermore, the DVT+IR group had greater intrathrombotic neovascularization as well as higher gene expression levels of urokinase-type plasminogen activator and tissue-type plasminogen activator than the DVT group. The iron-restricted diet decreased intrathrombotic superoxide production compared to the normal diet. Conclusions These results suggest that dietary iron restriction affects the process of thrombus resolution in DVT.
In Vivo Evaluation of Blood Based and Reference Tissue Based PET Quantifications of [11C]DASB in the Canine Brain

This first-in-dog study evaluates the use of the PET-radioligand [11C]DASB to image the density and availability of the serotonin transporter (SERT) in the canine brain. Imaging the serotonergic system could improve diagnosis and therapy of multiple canine behavioural disorders. Furthermore, as many similarities are reported between several human neuropsychiatric conditions and naturally occurring canine behavioural disorders, making this tracer available for use in dogs also provide researchers an interesting non-primate animal model to investigate human disorders. Five adult beagles underwent a 90 minutes dynamic PET scan and arterial whole blood was sampled throughout the scan. For each ROI, the distribution volume (VT), obtained via the one- and two- tissue compartment model (1-TC, 2-TC) and the Logan Plot, was calculated and the goodness-of-fit was evaluated by the Akaike Information Criterion (AIC). For the preferred compartmental model BPND values were estimated and compared with those derived by four reference tissue models: 4-parameter RTM, SRTM2, MRTM2 and the Logan reference tissue model. The 2-TC model indicated in 61% of the ROIs a better fit compared to the 1-TC model. The Logan plot produced almost identical VT values and can be used as an alternative. Compared with the 2-TC model, all investigated reference tissue models showed high correlations but small underestimations of the BPND-parameter. The highest correlation was achieved with the Logan reference tissue model (Y = 0.9266 x + 0.0257; R2 = 0.9722). Therefore, this model can be put forward as a non-invasive standard model for future PET-experiments with [11C]DASB in dogs.