Miracle-dz/UniFAR-FTUs huggingface dataset:
Brugia malayi Excreted/Secreted Proteins at the Host/Parasite Interface: Stage- and Gender-Specific Proteomic Profiling

Relatively little is known about the filarial proteins that interact with the human host. Although the filarial genome has recently been completed, protein profiles have been limited to only a few recombinants or purified proteins of interest. Here, we describe a large-scale proteomic analysis using microcapillary reverse-phase liquid chromatography-tandem-mass spectrometry to identify the excretory-secretory (ES) products of the L3, L3 to L4 molting ES, adult male, adult female, and microfilarial stages of the filarial parasite Brugia malayi. The analysis of the ES products from adult male, adult female, microfilariae (Mf), L3, and molting L3 larvae identified 852 proteins. Annotation suggests that the functional and component distribution was very similar across each of the stages studied; however, the Mf contributed a higher proportion to the total number of identified proteins than the other stages. Of the 852 proteins identified in the ES, only 229 had previous confirmatory expressed sequence tags (ESTs) in the available databases. Moreover, this analysis was able to confirm the presence of 274 “hypothetical” proteins inferred from gene prediction algorithms applied to the B. malayi (Bm) genome. Not surprisingly, the majority (160/274) of these “hypothetical” proteins were predicted to be secreted by Signal IP and/or SecretomeP 2.0 analysis. Of major interest is the abundance of previously characterized immunomodulatory proteins such as ES-62 (leucyl aminopeptidase), MIF-1, SERPIN, glutathione peroxidase, and galectin in the ES of microfilariae (and Mf-containing adult females) compared to the adult males. In addition, searching the ES protein spectra against the Wolbachia database resulted in the identification of 90 Wolbachia-specific proteins, most of which were metabolic enzymes that have not been shown to be immunogenic. This proteomic analysis extends our knowledge of the ES and provides insight into the host–parasite interaction.
Can the WWW be used as an encyclopedia ? – Building a large-scale corpus –

The World Wide Web, where a surprisingly large number of pages contain up-todate information, is a promising source to obtain encyclopedic knowledge for new and technical terms. We developed a system to produce encyclopedic corpora from the Web and evaluated a resultant corpus. Experiments by way of human assessors and a large number of anonymous subjects showed that our system rivals existing encyclopedias and Web search engines.
Minimization of Cogging Torque in Fractional-Slot Axial Flux Permanent Magnet Synchronous Machine with Conventional Structure

This paper studies minimization of cogging torque in fractional-slot winding axial flux PM machines without skewing rotor magnets or displacing stator slots. Fractional winding has small cogging torque which is highlight for applications such as wind turbines. Cogging torque is caused by interaction between rotor magnets and stator core. The axial flux PM machine has an unique structure that the slot dimensions is usually constant and by varying slot opening and pole arc ratio, cogging torque could be minimized. In this paper, cogging torque of fractional-slot concentrated winding was further reduced by proposed method.
A Wearable ECG Acquisition System With Compact Planar-Fashionable Circuit Board-Based Shirt

A wearable electrocardiogram (ECG) acquisition system implemented with planar-fashionable circuit board (P-FCB)-based shirt is presented. The proposed system removes cumbersome wires from conventional Holter monitor system for convenience. Dry electrodes screen-printed directly on fabric enables long-term monitoring without skin irritation. The ECG monitoring shirt exploits a monitoring chip with a group of electrodes around the body, and both the electrodes and the interconnection are implemented using P-FCB to enhance wearability and to lower production cost. The characteristics of P-FCB electrode are shown, and the prototype hardware is implemented to successfully verify the proposed concept.
Solving a hybrid flowshop scheduling problem with a decomposition technique and a fuzzy logic based method

We are interested in this paper in solving a multiobjective hybrid flowshop scheduling problem (HFS). The problem has different parameters and constraints such as release dates, due dates and sequence dependent setup times. Two different objectives should be optimized at once: the makespan and the total tardiness to be minimized. To solve the problem, we have developed two versions of a new decomposition technique based on the NSGA-II algorithm which is called HD-CLAY. This method decomposes a HFS problem with f stages into f sub-problems of parallel machines or single machine. To assess the efficiency of the proposed method, the latter is compared with the classical NSGA-II algorithm and with another metaheuristic coupled to a fuzzy logic controller. The experimental results show the advantages of the decomposition technique. Key-Words: Scheduling, decomposition technique, fuzzy logic, multiobjective optimization
Mobile Services and Ontologies : An Overview

VISIOn In the following, we will use an example to show the potential benefits of combining services and ontologies in mobile environments. Of course, the example below is just a tiny glimpse of what would be possible. There are many other mobile application scenarios where the combination of services and ontologies would be beneficial. These examples range from smart production environments and the seamless integration of mobile workers in business processes to mixed reality multiplayer games, where physical location determines the outlook on the virtual world and the scope of possible actions. While all these scenarios are exciting, they require quite a bit of explanation before one can introduce the aspects relevant for us. Therefore, we stick to the maybe less exciting, but time-tested, well understood, and possibly—at least in the near future—more realistic travel scenario. Anna, a computer scientist, is on her way to a conference to give a talk. Since she likes to travel light, she only brings her smart phone along. When she arrives at her destination airport, a local map is being pushed onto her cell phone by a service that she subscribed to from home. With the help of this map, she finds her way to the bus station where she can access an up-to-date time table. While she waits for her bus to arrive, she notices an advertisement for the local cinema describing this week’s shows. That evening, a movie will be shown that Anna had been planning to see for a while. The ad is equipped with NFC tags. She reads the one next to the movie that she is interested in and is connected to the cinemas online reservation system. She makes a reservation which will be billed to her phone bill. She receives a token on her cell phone that will allow her entry to the cinema later on. After a relaxing evening at the theater, the next day, at the conference, she uses an application provided by the conference organizers that lets her know, which other participants have interests similar to her own and alerts her when any of those are in her AbStrAct
Evaluation of different approaches for road course estimation using imaging radar

This work presents three imaging radar sensor approaches to estimate road courses, needed by intelligent vehicle systems such as active cruise control or collision avoidance. Two of the approaches use gridmap data. A gridmap integrates each measurement in a chronological order. The third approach analyzes moving objects ahead of the ego vehicle. One approach has been published previously, the other two are new. A range estimation is necessary on country roads and completes each approach. All approaches are evaluated using a huge dataset of country roads. The driven trajectory is taken as ground truth for the evaluation. The advantages and disadvantages are determined for each approach. The results show the new approach based on gridmap data performs up to 78% better than the known one. The other new approach using moving objects as input information yields estimations which are about three times more accurate than the ones from the known approach.
Lowering the error floor of double-binary turbo codes: The flip and check algorithm

This article addresses the error floor reduction of double-binary turbo codes. The proposed approach is an extension of a low complexity method originally proposed for decoding binary turbo codes. This method's interest is that it does not need to modify the turbo coding scheme as long as an error detection code is serially concatenated with the turbo code. Simulation results showed that error rate performance gains can reach one order of magnitude in the cases of the DVB-RCS and DVB-RCS2 standards, while keeping a well-handled computational complexity.
The Cosmic Lens All-Sky Survey - I. Source selection and observations

The Cosmic Lens All-Sky Survey (CLASS) is an international collaborative program which has obtained high-resolution radio images of over 10000 flat-spectrum radio sources in order to create the largest and best studied statistical sample of radioloud gravitationally lensed systems. With this survey, combined with detailed studies of the lenses found therein, constraints can be placed on the expansion rate, matter density, and dark energy (e.g. cosmological constant, quintessence) content of the Universe that are complementary to and independent of those obtained through other methods. CLASS is aimed at identifying lenses where multiple images are formed from compact flat-spectrum radio sources, which should be easily identifiable in the radio maps. Because CLASS is radio-based, dust obscuration in lensing galaxies is not a factor, and the relative insensitivity of the instrument to environmental conditions (e.g. weather, “seeing”) leads to nearly uniform sensitivity and resolution over the entire survey. In four observing “seasons” from 1994–1999, CLASS has observed 13783 radio sources with the VLA at 8.4 GHz in its largest “A” configuration (0. ′′ 2 resolution). When combined with the JVAS survey, the CLASS sample contains over 16,000 images. A complete sample of 11685 sources was observed, selected to have a flux density of at least 30 mJy in the GB6 catalogue at 4.85 GHz (spanning the declination range 0 ◦ 6 � 6 75 ◦ and |b| > 10 ◦ , excluding the galactic plane) and a spectral index � > 0.5 between the NVSS at 1.4 GHz and the GB6. A typical 30second CLASS snapshot reached an rms noise level of 0.4 mJy. So far, CLASS has found 16 new gravitational lens systems, and the JVAS/CLASS survey contains a total of 22 lenses. The follow-up of a small number of candidates using the VLA, MERLIN, the VLBA, and optical telescopes is still underway. In this paper, we present a summary of the CLASS observations, the JVAS/CLASS sample, and statistics on sub-samples of the survey. A companion paper presents the lens candidate selection and in a third paper the implications for cosmology are discussed. The source catalogues from the JVAS/CLASS project described in this paper are available from http://www.jb. man.ac. uk/research/gravlens/ .
Based on social network crime organization relation mining and central figure determining

This paper adopts Social Network Analysis (SNA) [1] method to find the solution to crime networks mining and central figure determining. With the help of Fisher Discriminant Analysis method and Criminal Network Core-figure Discovery (CNCD), a threshold discriminating non-conspirators from conspirators and the leader of the crime network can be obtained. The paper starts with a small network model, the result may even be used for other fields' network mining and core determination, which has important theoretical significance and application value.
A Model for Composing Semantic Relations

This paper presents a model to compose semantic relations. The model is independent of any particular set of relations and uses an extended definition for semantic relations. This extended definition includes restrictions on the domain and range of relations and utilizes semantic primitives to characterize them. Primitives capture elementary properties between the arguments of a relation. An algebra for composing semantic primitives is used to automatically identify the resulting relation of composing a pair of compatible relations. Inference axioms are obtained. Axioms take as input a pair of semantic relations and output a new, previously ignored relation. The usefulness of this proposed model is shown using PropBank relations. Eight inference axioms are obtained and their accuracy and productivity are evaluated. The model offers an unsupervised way of accurately extracting additional semantics from text.
Grafted neural progenitors migrate and form neurons after experimental traumatic brain injury.

PURPOSE Neural stem and progenitor cells (NSPC) generate neurons and glia, a feature that makes them attractive for cell replacement therapies. However, efforts to transplant neural progenitors in animal models of brain injury typically result in high cell mortality and poor neuronal differentiation. METHODS In an attempt to improve the outcome for grafted NSPC after controlled cortical impact we transplanted Enhanced Green Fluorescent Protein (EGFP)-positive NSPC into the contra lateral ventricle of mice one week after injury. RESULTS Grafted EGFP-NSPC readily migrated to the injured hemisphere where we analyzed the proportion of progenitors and differentiated progeny at different time points. Transplantation directly into the injured parenchyma, resulted in few brains with detectable EGFP-NSPC. On the contrary, in more than 90% of the mice that received a transplant into the lateral ventricle detectable EGFP-positive cells were found. The cells were integrated into the lateral ventricle wall of the un-injured hemisphere, throughout the corpus callosum, and in the cortical perilesional area. At one-week post transplantation, grafted cells that had migrated to the perilesion area mainly expressed markers of neural progenitors and neurons, while in the corpus callosum and the ventricular lining, grafted cells with a glial fate were more abundant. After 3 months, grafted cells in the perilesion area were less abundant whereas cells that had migrated to the walls of the third- and lateral- ventricle of the injured hemisphere were still detectable, suggesting that the injury site remained a hostile environment. CONCLUSION Transplantation to the lateral ventricle, presumably for being a neurogenic region, provides a favorable environment improving the outcome for grafted NSPC both in term of their appearance at the cortical site of injury, and their acquisition of neural markers.
SIMULATION AND KNOWLEDGE MANAGEMENT : SEPARATED BUT INSEPARABLE ?

For many decades, simulation modelling has been one of the most well known decision support techniques. Simulation related research and empirical work have been traditionally published in areas such as Operational Research or Management Science. In contrast, knowledge management as one of the latest change management approaches is mainly being researched by business, management and ever more by the IT communities. Although there is still a considerable perplexity about what knowledge management (KM) actually is, and there are numerous definitions of knowledge management available in the literature (Hlupic et al., 2002), a general consent is that knowledge management is related to generation, codification and transfer of knowledge in organisations in order to improve business performance and decision making.
Hard Times and Good Friends: Negative Life Events and Social Support in Patients with Seasonal and Nonseasonal Depression

Objective: Although a relatively large body of research has now accumulated concerning the relation between negative life events, social support, and major depressive disorder (MDD), little is known about the relation between seasonal affective disorder and these psychosocial variables. This study aimed to compare baseline levels of negative life events (NLEs) and perceived social support (SS) in patients with seasonal and nonseasonal depression. Method: Canadian patients with winter seasonal affective disorder (SAD) (n = 26) and nonseasonal recurrent MDD (n = 66) completed measures of recent NLEs (the List of Threatening Experiences) and perceived SS (the Social Support Survey) prior to treatment. Results: No significant between-group differences were observed in mean number of NLEs experienced or in quality of SS. Perceived SS was impaired in both groups, compared with patients with chronic medical conditions. Conclusions: The results of this study complement those of previous research reporting increased incidence of NLEs and decreased SS in primary care patients with high seasonality in the UK. Future research is required to determine the causal relation between these psychosocial risk factors and SAD and to assess whether they have an effect on, or are affected by, treatment interventions for SAD.
A Study of College Access and Academic Success among First Generation Hispanic Language Minority Students at the Community College Level.

In an increasingly competitive world economy, America's economic strength depends upon the education and skills of its workers. In the coming years, jobs requiring at least an associate's degree are projected to grow twice as quickly as those requiring no college experience (White House Summit on CC, 2010). Community colleges appeal to the educational needs of immigrants in search of language training, job skills, and career opportunities. The main purpose of this ethnographic-focus study is to examine how community colleges meet the needs and goals of first generation Hispanic bilingual/bicultural students by reaching out to and providing them with educational and economic attainment. In addition, this study will assess and analyze the hurdles first generation Hispanic students encounter in seeking higher education, such as academic obstacles, personal obstacles, and college administration obstacles. This study will further contribute to data about the difficulties faced and the success of first generation Hispanic students in completing required English as a Second Language (ESL) certification courses. This ethnographic-focus group study employed a qualitative research design. Participants were first generation Hispanic college students who provided input and interaction related to the topic. The focus group participants are immigrants from various Latin American countries.
Spectrum Efficient QoS Support for Secondary Users in Cognitive Radio Systems

The fundamental performance criterion for Dynamic Spectrum Access (DSA) approaches is the protection of the Primary U ser (PU). However, for DSA to become a reality, it is crucial to also ensure some Quality of Service (QoS) support for the Secondary U ser (SU) communication. In this paper, we propose sensing based opportunistic spectrum access approaches achieving both, protection of the PU, as well as QoS support for the secondary communication. Given the requirements of PU protection and secondary QoS support, we show that there is a tradeoff between the spectral overhead needed to achieve both requirements. PU protection is realized by a sensing process, for which the amount of spectral overhead drives the probability of false positives (the probability of declaring the PU to be present although it is not). This probability in turn influences the amount of spectral overhead required for secondary QoS support. We introduce performance metrics to quantify the spectral overhead and the spectral efficiency of DSA approaches. Furthermore, for a secondary QoS metric of uninterrupted data transmission, we show performance results for selected link maintenance approaches with respect to their spectral efficiency.
Cyclin-Dependent Kinase 5 Is Essential for Neuronal Cell Cycle Arrest and Differentiation

Cyclin-dependent kinase 5 (Cdk5) is a serine/threonine kinase with significant homology to cell cycle-related Cdks but is not believed to be active in a typical cell cycle. In Cdk5-deficient embryos and Cdk5 chimeras, migration and survival of postmitotic neurons is compromised in a cell-autonomous manner. In the present study, we show that loss of Cdk5 leads to both failure of neuronal differentiation and loss of cell cycle control. Using specific cytoskeletal proteins as indices of neuronal differentiation, we find that Cdk5-deficient neurons are significantly arrested or delayed in their developmental program both in vivo and in vitro. For example, immunocytochemistry of embryonic day 16 (E16) cortex reveals that the expression of microtubule-associated protein 2c (Map-2c), a marker of mature neurons, is nearly absent in Cdk5-/- cells that have migrated to the cortical plate while these same cells continue to express nestin. Similarly, in vitro, Map-2-positive cells are rare in cultures from E16 Cdk5-/- embryos. Cell cycle control is also deficient in Cdk5-/- cells. In vivo, neurons engaged in cell cycle activities are found in the cortical plate, and, in vitro, class III β-tubulin-positive cells continue to label with bromodeoxyuridine even after 5 d of incubation. Transfection of a wild-type Cdk5 construct reveals that cell cycle control can be regained in Cdk5-/- cells by overexpression of Cdk5. These data indicate that Cdk5 is necessary for both neuronal differentiation and cell cycle inhibition.
Adjustable Robust Strategies for Flood Protection

Flood protection is of major importance to many flood-prone regions and involves substantial investment and maintenance costs. Modern flood risk management requires often to determine a cost-efficient protection strategy, i.e., one with lowest possible long run cost and satisfying flood protection standards imposed by the regulator throughout the entire planning horizon. There are two challenges that complicate the modeling: (i) uncertainty - many of the important parameters on which the strategies are based (e.g. the sea level rise) are uncertain, and will be known only in the future, and (ii) adjustability - decisions implemented at later time stages need to adapt to the realized uncertainty values. We develop a new mathematical model addressing both, based on recent advances in integer robust optimization and we implement it on the example of the Rhine Estuary - Drechtsteden area in the Netherlands. Our approach shows, among others, that (i) considering 40% uncertainty about the sea level rise leads to solution with a less than 10% increase in the total cost (ii) solutions taking the uncertainty into account are cheaper in the long run if the `bad scenarios' for the uncertainty materialize, even if the `optimistic solutions' are allowed to be fixed later on (iii) the optimal here-and-now investment decisions change when uncertainty and adjustability are considered.
Preparing Tomorrow's Teachers to Use Technology: Perspectives of the Leaders of Twelve National Education Associations

The U.S. Department of Education has concluded that preparing technology-proficient educators to meet the needs of 21st-century learning is a critical educational challenge facing the nation. More than two thirds of the nation's teachers will be replaced by new teachers over the next decade. Therefore, it is crucial to ensure that the next generation of future teachers emerging from the nation's teacher education programs is prepared to meet this challenge.