Miracle-dz/UniFAR-FTUs huggingface dataset:
Pancreatic islet transplantation for treating diabetes

Pancreatic islet transplantation is one of the options for treating diabetes and has been shown to improve the quality of life of severe diabetic patients. Since the Edmonton protocol was announced, islet transplantation have advanced considerably, including islet after kidney transplantation, utilisation of non-heart-beating donors, single-donor islet transplantation and living-donor islet transplantation. These advances were based on revised immunosuppression protocols, improved pancreas procurement and islet isolation methods, and enhanced islet engraftment. Further improvements are necessary to make islet transplantation a routine clinical treatment. To synergise efforts towards a cure for type 1 diabetes, a Diabetes Research Institute (DRI) Federation is currently being established to include leading diabetes research centres worldwide, including DRIs in Miami, Edmonton and Kyoto among others.
A task allocation algorithm based on market mechanism for multiple robot systems

A multi-robot task allocation based on market mechanism is proposed in this paper. Firstly, The proposed task intensity with distance fitness and urgency of the time are considered to improve the task evaluation function. The task evaluation function gets considerable improvement which make task allocation based on market mechanism more efficiently. Secondly, distance from the starting point is taken into account for further improving the efficiency of task allocation. All of the robots in multi-robot systems will be allocated to complete all tasks by market auction algorithm. The distributed task allocation based on market mechanism greatly improve the efficiency of collaborative task. At last, simulation and experimental results show that this multi-robot task allocation algorithm is efficient.
Acceptance and use of mobile phone mediated communication technologies in community communications

In this paper we analyze the acceptance of mobile phone mediated communication technologies in community context. To be able to do that we first develop a model for adoption and use of mobile information services based both on technology acceptance and user satisfaction literature. The new model is then applied to three different student communities: Finnish, Spanish and Chinese students all studying in Finland. Our study has two interesting results. First, usefulness is more important than ease of use in acceptance of basic communication services in community context. Second, although the acceptance of mobile phone mediated communication technologies was similar in all sub-communities, there were clear differences how mobile communications was used. The differences in the structures of social networks indicate different levels of commitment to own community and integration to other communities.
Intermixing Multiple Discourse Strategies for Automatic Text Composition

How we compose a text is not a well-understood process. This paper explores Enkvist’s notion of text composition through the application of multiple discourse strategies. To write a text, we don’t follow a single strategy, but rather intermix a number of strategies as required by the context of writing. This approach to text composition is then applied to automatic text composition, a system for producing on-line descriptions of museum artefacts on the fly.
Radio Active: Advertising and Consumer Activism, 1935-1947

List of Tables Acknowledgments Introduction. The Dialectic between Advertising and Activism Part I. Cultural Critics in the Age of Radio Chapter 1. The Psychology of Radio Advertising: Audience Intellectuals and the Resentment of Radio Commercials Chapter 2. "Poisons, Potions, and Profits": Radio Activists and the Origins of the Consumer Movement Part II. Consumers on the March: CIO Boycotts, Active Listeners, and Consumer Time Chapter 3. The Consumer Revolt of "Mr. Average Man": Boake Carter and the CIO Boycott of Philco Radio Chapter 4. Washboard Weepers: Women Writers, Women Listeners, and the Debate over Soap Operas Chapter 5. "I Won't Buy You Anything But Love, Baby": NBC, Donald Montgomery, and the Postwar Consumer Revolt Conclusion. High-Class Hucksters: The Rise and Fall of a Radio Republic Notes Bibliography Index
A GNSS precise velocity determination algorithm based on Chaotic oscillator

For the GNSS receiver, when the satellite navigation signal is weak, the traditional tracking accuracy of GNSS receiver tracking loops will decline sharply which will lead to the deterioration of the Carrier frequency error. Aiming at improving the Velocity Determination accuracy of GNSS receiver, we propose the GNSS Precise Velocity Determination Algorithm Based on Chaotic Oscillator. The proposed algorithm, on the basis of the traditional tracking loop, has greatly improved the accuracy of the original Doppler frequency by introducing the Chaotic Oscillator to estimate the carrier frequency. The simulation proves that, under a certain dynamic range, the velocity determination accuracy of the GNSS receiver, in the aid of the new algorithm, has been greatly improved.
ICT:A System Combination for Chinese Semantic Dependency Parsing

The goal of semantic dependency parsing is to build dependency structure and label semantic relation between a head and its modifier. To attain this goal, we concentrate on obtaining better dependency structure to predict better semantic relations, and propose a method to combine the results of three state-of-the-art dependency parsers. Unfortunately, we made a mistake when we generate the final output that results in a lower score of 56.31% in term of Labeled Attachment Score (LAS), reported by organizers. After giving golden testing set, we fix the bug and rerun the evaluation script, this time we obtain the score of 62.8% which is consistent with the results on developing set. We will report detailed experimental results with correct program as a comparison standard for further research.
Logo based document image retrieval using singular value decomposition features

Growth in information technology has increased repository of document images in various organizations, digital libraries and government offices. Logo based document image retrieval provides an easier way of searching and browsing of these documents. Duty noise, large ink blobs and choosing appropriate features are major challenges to implement logo based retrieval of document images. This paper presents a novel method for logo based document image retrieval, when a query document containing logo is given as an input. Logo from the query document is extracted based on energy contributed by connected components of document image after using Singular Value Decomposition (SVD). For retrieval of documents we propose a method using two set of features (i) Derived Singular Value Decomposition (SVD) features of extracted logo and (ii) Singular values of singular matrix after applying SVD to an extracted logo. Canberra distance is used for matching features of query document with the features of database of documents. Proposed method is tested for publicly available database Tobacco-800 and results are compared with current state of art. Using derived features of SVD of an extracted logo we got 76% precision; however 84% precision is achieved for same set of documents using singular values of extracted logo.
A Comment on the Appropriate Estimation of Intrametropolitan Firm Location Models

The analysis in several papers-Wasylenko (1980), Fox (1981), Charney (1983), and McHone (1986)-of intrametropolitan firm location is performed on a data set that excludes those jurisdictions that zone out firms. The general conclusion from these studies is that when these jurisdictions are removed from the sample, the fiscal variables, especially taxes, become statistically significant determinants of firm location choices. This is in contrast to the conclusions about the tax variables when all jurisdictions are included in the analysis. The argument for the removal of these jurisdictions is that if jurisdictions zone out firms, then it is inappropriate to include these jurisdictions in the sample as they are not places that are supplying sites for firm locations. Thus including such places in the sample may bias the estimation results.1 Peddle (1987) maintains that the case for eliminating places that zone out industry is weak, because, according to his view, this involves many fewer jurisdictions than researchers typically exclude from their sample. Thus, removing these jurisdictions from the sample leads to truncation bias in the estimated coefficients. Whether or not jurisdictions actually zone out firms is an empirical issue and can not be settled on the basis of his
Source Number Estimation for Array Processing with Newton-like Algorithm

A novel approach to the problem of detecting a passive sensor array is proposed in this paper, which is based on the optimization of a cost function with Newton-like method. The method optimizes the DOA and power parameters of a cost function simultaneously. The algorithm can estimate DOA, power and number of sources simultaneously. Computer simulation results show that the algorithm has lower region value of signal noise ratio than many methods, such as, Akaike information critical (AIC) and Gerschgorin disks estimation (GDE).
Real-Time Tone Recognition in A Computer-Assisted Language Learning System for German Learners of Mandarin

This paper presents an evaluation of tone recognition systems integrated in a computer-assisted pronunciation training system for German learners of Mandarin. Both the reference tone recognition system as well as a recently redesigned tone recognition system contain monotone, bitone and tritone recognizers for isolated monosyllabic and disyllabic words and sentences, respectively. The performance of the reference system and the redesigned tone recognition systems was compared on data from German learners of Mandarin, while varying the feature vector to contain spectral as well as prosodic features. The redesigned tone recognition system matched or outperformed the reference system. For monosyllabic and disyllabic words it improved when spectral features were added to prosodic features. In contrast, results of tone recognition in sentences yielded better results based on prosodic features only.
Vision-based corridor line detection using k-means algorithm

We propose a corridor lines extraction algorithm. The algorithm is based on a vision-system. It uses the patterns of slopes between two points, K-means, and least-square method. The proposed algorithm offers intersection lines between the wall and the floor. The proposed method consists of image preprocessing, noise filtering, and line extraction algorithm stage. The method has been tested on a large number of real corridor images. The experimental results are included to demonstrate the validity of the proposed algorithm.
Generalizing Simes' test and Hochberg's stepup procedure

In a multiple testing problem where one is willing to tolerate a few false rejections, procedure controlling the familywise error rate (FWER) can potentially be improved in terms of its ability to detect false null hypotheses by generalizing it to control the $k$-FWER, the probability of falsely rejecting at least $k$ null hypotheses, for some fixed $k>1$. Simes' test for testing the intersection null hypothesis is generalized to control the $k$-FWER weakly, that is, under the intersection null hypothesis, and Hochberg's stepup procedure for simultaneous testing of the individual null hypotheses is generalized to control the $k$-FWER strongly, that is, under any configuration of the true and false null hypotheses. The proposed generalizations are developed utilizing joint null distributions of the $k$-dimensional subsets of the $p$-values, assumed to be identical. The generalized Simes' test is proved to control the $k$-FWER weakly under the multivariate totally positive of order two (MTP$_2$) condition [J. Multivariate Analysis 10 (1980) 467--498] of the joint null distribution of the $p$-values by generalizing the original Simes' inequality. It is more powerful to detect $k$ or more false null hypotheses than the original Simes' test when the $p$-values are independent. A stepdown procedure strongly controlling the $k$-FWER, a version of generalized Holm's procedure that is different from and more powerful than [Ann. Statist. 33 (2005) 1138--1154] with independent $p$-values, is derived before proposing the generalized Hochberg's procedure. The strong control of the $k$-FWER for the generalized Hochberg's procedure is established in situations where the generalized Simes' test is known to control its $k$-FWER weakly.
A curved multi-component aerosol hygroscopicity model framework: Part 2 - Including organic compounds

Abstract. This paper describes the inclusion of organic particulate material within the Aerosol Diameter Dependent Equilibrium Model (ADDEM) framework described in the companion paper applied to inorganic aerosol components. The performance of ADDEM is analysed in terms of its capability to reproduce the behaviour of various organic and mixed inorganic/organic systems using recently published bulk data. Within the modelling architecture already described two separate thermodynamic models are coupled in an additive approach and combined with a method for solving the Kohler equation in order to develop a tool for predicting the water content associated with an aerosol of known inorganic/organic composition and dry size. For development of the organic module, the widely used group contribution method UNIFAC is employed to explicitly deal with the non-ideality in solution. The UNIFAC predictions for components of atmospheric importance were improved considerably by using revised interaction parameters derived from electro-dynamic balance studies. Using such parameters, the model was found to adequately describe mixed systems including 5–6 dicarboxylic acids, down to low relative humidity conditions. By comparison with electrodynamic balance data, it was also found that the model was capable of capturing the behaviour of aqueous aerosols containing Suwannee River Fulvic acid, a structure previously used to represent the functionality of complex oxidised macromolecules often found in atmospheric aerosols. The additive approach for modelling mixed inorganic/organic systems worked well for a variety of mixtures. As expected, deviations between model predictions and measurements increase with increasing concentration. Available surface tension models, used in evaluating the Kelvin term, were found to reproduce measured data with varying success. Deviations from experimental data increased with increased organic compound complexity. For components only slightly soluble in water, significant deviations from measured surface tension depression behaviour were predicted with both model formalisms tested. A Sensitivity analysis showed that such variation is likely to lead to predicted growth factors within the measurement uncertainty for growth factor taken in the sub-saturated regime. Greater sensitivity was found for the value of dry density used in the assumed form of the dried out aerosol. Comparison with a coupled thermodynamic approach showed that assumed values for interactions parameters may lead to erroneous results where a simple additive approach may provide more accurate results. However, where available, the use of coupled thermodynamics can better reproduce measured behaviour. Further work (and laboratory data) is required to assess whether this difference lies within the experimental uncertainty of observed hygroscopic behaviour for a variety of systems.
Sentence extraction in recognition textual entailment task

Recognizing textual entailment (RTE) is a task that predict whether a text fragment can be inferred from another text fragment. In this paper, we tackle RTE problem using sentence extraction to cover semantic variation and then extracting subject, predicate and object from each sentence without using external resources like Wordnet. Finally, similarity function is used to predict entailment relation. In sentence extraction phase, we used sentence detection, extract sentence in subordinate clause, prepositional phrase and passive sentence. Our system has accuracy of 0.63 which is comparable to other system that is not using external resources.
Goal-aware data management for retrieval and recommendations

Human activity is almost always intentional. By understanding why user-generated events are happening and what purposes they serve, a system can offer a significantly improved and more engaging experience. Analyzing user actions such as clicks can reveal patterns and behaviors. However, understanding the goals behind these actions is a more challenging issue since goals cannot be easily captured. In this thesis, we present a unified, multi-disciplinary viewpoint for goal management that covers many different cases where goals can be used and techniques with which they can be exploited. We are dealing with the problem of selecting and recommending items that will fulfill, or contribute towards the fulfillment of user goals. Specifically, we suggest a goal-aware solution for the problem of finding related forum posts to a post at-hand within a user-community. Our solution is based on the detection of intention shifts captured through text features. Furthermore, we suggest a general purpose solution for recommending items of any kind by leveraging knowledge about goals that users managed to fulfill in the past through interactions with these items. The items to be recommended are selected considering whether and how they will contribute towards the fulfillment of a number of goals.
On the Complexity of Detecting Constrained Negative Cost Cycles

Given a positive integer $k$ and a directed graph with a cost on each edge, the $k$-length negative cost cycle ($k$\emph{LNCC}) problem is to determine whether there exists a negative cost cycle with at least $k$ edges, and the fixed-point \emph{$k$-}length negative cost cycle \emph{trail (FP$k$LNCCT)} problem is to determine whether there exists a negative trail enrouting a given vertex (as the fixed point) and containing only cycles with at least $k$ edges. The $k$\emph{LNCC} problem first emerged in deadlock avoidance in synchronized streaming computing network \cite{spaa10}, generalizing two famous problems: negative cycle detection and the $k$-cycle problem. As a warmup by-production, the paper first shows that \emph{FP$k$LNCCT is }${\cal NP}$-complete in multigraph\emph{ }even for\emph{ $k=3$} by reducing from the \emph{3SAT} problem. Then as the main result, we prove the ${\cal NP}$-completeness of $k$\emph{LNCC} by giving a sophisticated reduction from the 3 Occurrence 3-Satisfiability (\emph{3O3SAT}) problem, a known ${\cal NP}$-complete special case of 3SAT in which a variable occurs at most three times. The complexity result is interesting, since polynomial time algorithms are known for both $2$\emph{LNCC} (essentially no restriction on the value of $k$) and the $k$-cycle problem of fixed $k$. This paper closes the open problem proposed by Li et al. in \cite{spaa10} whether $k$\emph{LNCC} admits polynomial-time algorithms.
Degrees of choice : class, race, gender and higher education

Degrees of Choice provides a sophisticated account of the overlapping effects of social class, ethnicity and gender in the process of choosing which university to attend. The shift from an elite to a mass system has been accompanied by much political rhetoric about widening access, achievement-for-all and meritocratic equalisation. This book gives a full and contrary picture, drawing on qualitative and quantitative data to show how the welcome expansion of higher education has also deepened social stratification, generating new and different inequalities. While gender inequalities have reduced, those of social class remain and are now reinforced by racial inequalities in access. Employing perspectives from the sociology of education and particularly Bourdieu's work on distinction and judgement, the book links school institutional habitus and family class habitus, with individual choice making in a socially informed dynamic. The contradictions and tensions arising from attempts to expand student numbers rapidly are vividly brought alive through the narratives of prospective applicants to higher education. Students are seen to confront vastly different degrees of choice that are powerfully shaped by their social class and race. This rich empirical study of 500 applicants to higher education draws on an award winning enquiry funded by the Economic and Social Research Council. It will be essential reading in sociology, social policy and education, and important to higher education providers and careers teachers.
THE GRAPHICAL CONDITION FOR IDENTIFYING ARROWS IN RECOVERING CAUSAL STRUCTURE

This paper deals with problems of recovering a causal structure by using not only conditional independence relationships but also prior knowledge when data are generated according to the causal structure among variables. Although some algorithms for recovering a causal structure based on independencies have been developed, the influence of prior knowledge on the recovery algorithms has not been clarified. In this paper, a necessary and sufficient condition for the existence of unidentified arrows in a recovered diagram is given in terms of graph structure. Also, it is shown that a causal structure such that a recovered diagram is a forest can be recovered by recognizing exogenous variables in a causal diagram completely. The result enables us to elucidate enough prior information to determine a causal diagram uniquely.
The Tate Conjecture for a family of surfaces of general type with pg = q = 1 and K2 = 3

We prove a big monodromy result for a smooth family of complex algebraic surfaces of general type, with invariants $p_g=q=1$ and $K^2=3$, that has been introduced by Catanese and Ciliberto. This is accomplished via a careful study of degenerations. As corollaries, when a surface in this family is defined over a finitely generated extension of $\Bbb{Q}$, we verify the semisimplicity and Tate conjectures for the Galois representation on the middle $\ell$-adic cohomology of the surface.
A Gesture-Based Human-Machine Interface Using Stereoscopic Depth Images

Reasonable integration of gesture-based automotive HMI-functionality offers potential safety benefits by reducing driver distractions and glance times to operate tertiary in-car devices. Stereo camera systems are a well investigated choice to perform the task of generating depth data for spatial gesture recognition. This paper describes the functionality of our stereo vision software, which is intended for application in a target system based on CMOS wafer-level cameras. The retrieved point cloud data was passed to a gesture-based sample application.
Activity Structures and Student Outcomes.

EARS PRICE MF01/PC03 Plus Postig// DESCRMORS Academic Achievement: *Activity Units; Class Organization: Curriculum Design; *Educational Environment: Educational Technology; Elementary Secondary Education: Group Dynamics; Development: Instructional Systems; *Outcones of . Education; *Scheduling: *School Organization: *Socialization; Student Behavior; Student School Relationship: Teacher Behavior: Teaching Methods; Time Factors (Learning)