Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenge of Drosophila melanogaster with Cryptococcus neoformans and Role of the Innate Immune Response

ABSTRACT We found that the ingestion of Cryptococcus neoformans by Drosophila melanogaster resulted in the death of the fly but that the ingestion of Saccharomyces cerevisiae or the nonpathogenic Cryptococcus kuetzingii or Cryptococcus laurentii did not. The C. neoformans protein kinase A and RAS signal transduction pathways, previously shown to be involved in virulence in mammals, also played a role in killing Drosophila. Mutation of the Toll immune response pathway, the predominant antifungal pathway of the fly, did not play a role in Drosophila defense following ingestion of the yeast. However, the Toll pathway was necessary for the clearance of C. neoformans introduced directly into the hemolymph of D. melanogaster and for the survival of systemically infected flies.
Sliding Mode Neural Network Control for Nonlinear Systems

An adaptive sliding mode neural network (NN) control scheme is proposed for a class of nonlinear systems with mismatched uncertainties. By applying the smooth projection algorithm and the integral-type Lyapunov function, the parameter drift and controller singularity problems are avoided perfectly. It is proved that convergence of tracking error and boundedness of all the signals in the closed-loop system can be guaranteed with the proposed controller. Simulation results demonstrate the effectiveness of the presented control strategy
Selective Co-occurrences for Word-Emotion Association

Emotion classification from text typically requires some degree of word-emotion association, either gathered from pre-existing emotion lexicons or calculated using some measure of semantic relatedness. Most emotion lexicons contain a fixed number of emotion categories and provide a rather limited coverage. Current measures of computing semantic relatedness, on the other hand, do not adapt well to the specific task of word-emotion association and therefore, yield average results. In this work, we propose an unsupervised method of learning word-emotion association from large text corpora, called Selective Co-occurrences (SECO), by leveraging the property of mutual exclusivity generally exhibited by emotions. Extensive evaluation, using just one seed word per emotion category, indicates the effectiveness of the proposed approach over three emotion lexicons and two state-of-the-art models of word embeddings on three datasets from different domains.
Option Pricing and Momentum

If managers are reluctant to fully adjust dividends to changes in earnings, stock returns and changes in the dividend yield will tend to be negatively correlated. When this is the case, stock returns will exhibit positive autocorrelation, or mo- mentum. This paper studies the pricing of options in such a situation, within a new model in which the dividend yield is an a¢ ne function of past stock returns. The model accommodates momentum in stock returns under complete markets, and, moreover, it renders preference-free formulas for European options. A momentum- inducing dividend yield implies that calls will be overpriced (underpriced) relative to puts after stock price increases (declines), a prediction in line with the findings of recent empirical research in finance, and that the Black-Scholes formula with constant dividend yield underprices out-of-the money options.
Cutting structure-aware analog placement based on self-aligned double patterning with e-beam lithography

Self-aligned double patterning (SADP) with complementary e-beam lithography (EBL) is one of the most promising hybrid-lithography techniques for sub-20nm designs. The complementary EBL mitigates the deficiencies of using a single cut mask in SADP. However, the low throughput and negative side effects of EBL might significantly increase the manufacturing costs and damage the symmetry properties in analog circuits. In this paper, we present the first work that considers SADP with EBL during analog placement to simultaneously optimize the area, wirelength, overlay errors, and e-beam shots. We first propose an overlay and cut conflict-aware SADP decomposition algorithm to optimize the overlay errors and e-beam shots in a layout. Then, a dynamic programming based module shifting technique is developed based on a symmetry-feasible slicing tree formulation to further minimize the differences of overlay errors and e-beam shots between symmetry modules during analog placement. To explore and obtain a desired placement, an analog placement flow is also presented. Experimental results show that our flow can effectively and efficiently reduce area, overlay errors, and e-beam shots while satisfying the symmetry constraints for analog placement.
Towards a quantum information technology industry

The research fields of quantum information processing and communication are now well established, although still growing and developing. It was realized early on that there is significant potential for new technologies and applications, leading to the vision of a whole new quantum information technology industry. The vision is not yet reality, and there are many open questions with regard to how it might become so. This article raises some of these questions, and gives a viewpoint on how we might proceed, from where we are today towards a quantum information technology industry in the future.
Financial Development and Economic Growth - An Empirical Analysis for Ireland

This study investigated the relationship between financial development and economic growth for Ireland for the period 1965-2007 using a vector error correction model (VECM). Questions were raised whether financial development causes economic growth or reversely taking into account the positive effect of industrial production index. Financial market development is estimated by the effect of credit market development and stock market development on economic growth. The objective of this study was to examine the long-run relationship between these variables applying the Johansen cointegration analysis taking into account the maximum eigenvalues and trace statistics tests. Granger causality tests indicated that economic growth causes credit market development, while there is a bilateral causal relationship between stock market development and economic growth. Therefore, it can be inferred that economic growth has a positive effect on stock market development and credit market development taking into account the positive effect of industrial production growth on economic growth for Ireland.
The Profile and Bioaccessibility of Phenolic Compounds in Cereals Influenced by Improved Extrusion Cooking Treatment

The aim of this study was to investigate the effect of Improved Extrusion Cooking Treatment (IECT) on the phenolics and its bioaccessibility in cereals, represented by brown rice, wheat, and oat. Data showed that total phenolic content and total antioxidant activity in free form were significantly decreased, while the bound form was increased after IECT. After IECT, the total free phenolic acids of brown rice and wheat were significantly decreased by 5.88% and 45.66%, respectively, while the total bound phenolic acids of brown rice, wheat, and oat were significantly increased by 6.45%, 8.78%, and 9.10%, respectively. Brown rice provided the most bioaccessible phenolics and antioxidant compounds, followed by oat and wheat. IECT significantly decreased the bioaccessible phenolics of brown rice and oat by 31.09% and 30.95%, while it had minimal effect on the bioaccessible phenolics of wheat. These results showed that IECT greatly affected the phenolics and its bioaccessibiltiy of cereals, with the effect depending on cereal matrix and the sensitivity of free and bound phenolics. Furthermore, bioaccessible phenolic acids of raw and processed cereals were considerably low, and it slightly contributed to the bioaccessible phenolics.
The Use of Online Social Networking for Higher Education from An Activity Theory Perspective

Social technologies including blogs, wikis, social bookmarking sites, photo sharing, video sharing and social networking sites (SNS) have been widely used to facilitate online social networking (OSN). We define OSN as a range of activities enabled by online social technologies and operationalised by a group of people. OSN is widely popular for non-educational purposes among students. However, OSN also has the potential to be appropriated and repurposed to support teaching and learning delivery in a formal learning environment. Despite the availability of implementation cases and trials, detailed studies on why and how lecturers and students appropriate and repurpose social technologies for OSN in education are still lacking. In addition, these understandings are seldom guided by any theoretical frameworks. This paper suggests the use of Activity Theory as the theoretical lens in investigating the use of OSN in higher education. A conceptual model of how social technologies can be appropriated and repurposed guided by the theoretical understandings is proposed and discussed.
MODELING AND CONTROL OF GRID CONNECTED PHOTOVOLTAIC SYSTEM : A REVIEW

The sale of electric energy generated by photovoltaic plants has attracted much attention in recent years. The installation of PV plants aims to obtain the maximum benefit of captured solar energy. The different techniques of modeling and control of grid connected photovoltaic system with objective to help intensive penetration of photovoltaic (PV) production into the grid have been proposed so far in different papers. The current methodologies for planning the design of the different components of a PV plant are not completely efficient. Therefore lot of research work is required for overall configuration of the grid connected PV system, the MPP tracking algorithm, the synchronization of the inverter and the connection to the grid. This paper focuses on the solar energy, grid connected photovoltaic system, modeling of photovoltaic array, maximum power point tracking, and grid connected inverter. This paper helps the researchers to know about the different methods presented so far for modeling and control of grid connected photovoltaic system so that further work on integration of solar energy with grid can be carried out for better results.
Are Longer Test Sequences Always Better? - A Reliability Theoretical Analysis

One of the interesting questions currently discussed in software testing, both in practice and academia, is the role of test sequences on software testing, especially on fault detection. Previous work includes empirical research on rather small examples tested by relatively short test sequences. Belief is "the longer the better", i.e., the longer test sequences are, the more faults are detected. This paper extends those approaches applied to a large commercial application using test sequences of increasing length, which are generated and selected by graph-model-based techniques. Experiments applying many software reliability models of different categories deliver surprising results.
Grassmannians, calibrations and 5-brane intersections

We present a geometric construction of a new class of hyper-Kahler manifolds with torsion. This involves the superposition of the four-dimensional hyper-Kahler geometry with torsion associated with the NS-5-brane along quaternionic planes in H-k. We find the moduli space of these geometries and show that it can be constructed using the bundle space of the canonical quaternionic line bundle over a quaternionic projective space. We also investigate several special cases which are associated with certain classes of quaternionic planes in H-k. We then show that the eight-dimensional geometries we have found can be constructed using quaternionic calibrations. We generalize our construction to superpose the same four-dimensional hyper-Kahler geometry with torsion along complex planes in C-2k. We find that the resulting geometry is Kahler with torsion. The moduli space of these geometries is also investigated. In addition, the applications of these new geometries to M-theory and sigma models are presented. In particular, we find new solutions of IIA supergravity with the interpretation of intersecting NS-5-branes at Sp(2)-angles on a suing and show that they preserve 3/32, 1/8, 5/32 and 3/16 of supersymmetry. We also show that two-dimensional sigma models with target spaces above the manifolds have (p, q) extended supersymmetry.
The Kansas University rewrite engine

Abstract When writing transformation systems, a significant amount of engineering effort goes into setting up the infrastructure needed to direct individual transformations to specific targets in the data being transformed. Strategic programming languages provide general-purpose infrastructure for this task, which the author of a transformation system can use for any algebraic data structure. The Kansas University Rewrite Engine (KURE) is a typed strategic programming language, implemented as a Haskell-embedded domain-specific language. KURE is designed to support typed transformations over typed data, and the main challenge is how to make such transformations compatible with generic traversal strategies that should operate over any type. Strategic programming in a typed setting has much in common with datatype-generic programming. Compared to other approaches to datatype-generic programming, the distinguishing feature of KURE's solution is that the user can configure the behaviour of traversals based on the location of each datum in the tree, beyond their behaviour being determined by the type of each datum. This article describes KURE's approach to assigning types to generic traversals, and the implementation of that approach. We also compare KURE, its design choices, and their consequences, with other approaches to strategic and datatype-generic programming.
Integrity monitoring of lowcost GPS-aided-INS systems

As unmanned systems become more and more important, reliability and integrity issues become definite, specially when being implemented with low-cost (or sometimes are referred to as COTS) sensors while being designed to operate in harsh environments. As a result, fault (or failure) detection and identification (FDI) is a must, and is a crucial requirement for designing unmanned vehicles. In this work, we investigate the utilization of two FDI techniques, the chi2 gating function and the the multiple model adaptive estimation (MMAE). Chi-squared FDI systems are computationally very inexpensive, have good fault detection ability and require no a priori knowledge on system dynamics. However, they are sensitive to filter tuning and fail to detect faults when the filter converges to them rather than rejecting them. Model-based approaches provide outstanding FDI ability. However, they are computationally demanding, require a priori knowledge on system model, sensitive to mismodelling errors, have finite convergence time and compromise filter optimality under no-failure conditions. A new FDI fusion algorithm is proposed, which guarantees integrity and does not affect optimality under no-failure conditions. Simulated results are presented to highlight performance characteristics of both FDI system implementations.
Current Status and Future Development of Cell Transplantation Therapy for Periodontal Tissue Regeneration

It has been shown that stem cell transplantation can regenerate periodontal tissue, and several clinical trials involving transplantation of stem cells into human patients have already begun or are in preparation. However, stem cell transplantation therapy is a new technology, and the events following transplantation are poorly understood. Several studies have reported side effects and potential risks associated with stem cell transplantation therapy. To protect patients from such risks, governments have placed regulations on stem cell transplantation therapies. It is important for the clinicians to understand the relevant risks and governmental regulations. This paper describes the ongoing clinical studies, basic research, risks, and governmental controls related to stem cell transplantation therapy. Then, one clinical study is introduced as an example of a government-approved periodontal cell transplantation therapy.
Symbolic Representation of Anatomical Knowledge: Concept Classification and Development Strategies

In this paper a novel approach to anatomy knowledge representation is described. The focus of the present research has been on the development of a representational framework where the conceptual level has been implemented by using hierarchical and nonhierarchical conceptual networks. This has allowed handling the demand for multiple views of anatomy (systemic and topographical views). The terminological level of the knowledge representation has been implemented by using a compositional strategy which has avoided the explicit storage of the terms used to express composite concepts. Hierarchical relations and composite concept representations have required supervision of both the inheritance and concept reconstruction. For this purpose heuristic knowledge has been stored in terms of consistency rules in the knowledge base. As proof of the capability of this system, we show how the knowledge base has been used to provide symbolic access to spatial information consisting of a reduced set of images from the Visible Human Dataset.
The DODO survey – II. A Gemini direct imaging search for substellar and planetary mass companions around nearby equatorial and Northern hemisphere white dwarfs

The aim of the Degenerate Objects around Degenerate Objects (DODO) survey is to search for very low-mass brown dwarfs and extrasolar planets in wide orbits around white dwarfs via direct imaging. The direct detection of such companions would allow the spectroscopic investigation of objects with temperatures much lower ( T8.5, and so could belong to the proposed Y dwarf spectral sequence. The detection of a planet around a white dwarf would prove that such objects can survive the final stages of stellar evolution and place constraints on the frequency of planetary systems around their progenitors (with masses between 1.5 and 8 M ⊙ , i.e. early B to mid-F). This paper presents the results of a multi epoch J band common proper motion survey of 23 nearby equatorial and Northern hemisphere white dwarfs. We rule out the presence of any common proper motion companions, with limiting masses determined from the completeness limit of each observation, to 18 white dwarfs. For the remaining five targets, the motion of the white dwarf is not sufficiently separated from the non-moving background objects in each field. These targets require additional observations to conclusively rule out the presence of any common proper motion companions. From our completeness limits, we tentatively suggest that ≤5 per cent of white dwarfs have substellar companions with T eff >500 K between projected physical separations of 60-200 au.
Investigating the link between narcissism and problem behaviors in adolescence

ABSTRACT Previous research has shown that narcissistic traits such as exploitativeness, exhibitionism, and entitlement are associated with delinquency and aggression in childhood and adolescence. However, there is a paucity of longitudinal research examining these associations, and virtually no research examining other problem behaviors such as drug use and early sexual behavior. In this study, we extended previous research by testing whether two facets of narcissism, exploitativeness and superiority, assessed at age 14, predicted problem behaviors at age 16, while controlling for problem behaviors at age 14. We applied two-part count models to data from a longitudinal study of 674 Mexican-origin adolescents living in the United States followed over a two-year period from age 14 to 16. Adolescents with higher exploitativeness levels at age 14 were more likely to engage in drug use, commit delinquent acts, have sexual intercourse, and exhibit symptoms of conduct disorder at age 16, compared to adolescents with lower exploitativeness levels. Superiority had almost no associations with problem behaviors. Thus, exploitativeness may be one personality risk factor that underlies the development of multiple forms of problem behaviors in adolescence.
A low complexity transmitter structure for OFDM-FDMA uplink systems

The orthogonal frequency division multiplex (OFDM) transmission technique can efficiently deal with the effects of multipath propagation in the broadband radio channel. It also has a high system inherent flexibility for designing a multiple access scheme by combining the conventional TDMA, FDMA and CDMA approaches with the OFDM modulation scheme. The FDMA multiple access scheme is especially interesting for an uplink of a communication system since it can completely avoid any multiple access interference (MAI). Moreover, the peak-to-average ratio (PAR) of the uplink OFDM transmit signal can be greatly reduced if this OFDM-FDMA multiple access scheme is additionally combined with a data spreading technique based on a discrete Fourier transform (DFT) spreading matrix using only the user specific subcarriers. Since the DFT spreading operation and the IDFT operation used as a part of the OFDM modulation scheme cancel out each other the complexity of the transmitter structure for an OFDM-FDMA uplink can be greatly reduced.
Quality of Geographic Information: Ontological approach and Artificial Intelligence Tools

The objective is to present one important aspect of the European IST-FET project "REV! GIS"1: the methodology which has been developed for the translation (interpretation) of the quality of the data into a "fitness for use" information, that we can confront to the user needs in its application. This methodology is based upon the notion of "ontologies" as a conceptual framework able to capture the explicit and implicit knowledge involved in the application. We do not address the general problem of formalizing such ontologies, instead, we rather try to illustrate this with three applications which are particular cases of the more general "data fusion" problem. In each application, we show how to deploy our methodology, by comparing several possible solutions, and we try to enlighten where are the quality issues, and what kind of solution to privilege, even at the expense of a highly complex computational approach. The expectation of the REV! GIS project is that computationally tractable solutions will be available among the next generation AI tools.
Cross-lingual Pronoun Prediction with Linguistically Informed Features

We present the LIMSI's cross-lingual pronoun prediction system for the WMT 2016 shared task. We use high-level linguistic features with explicit coreference resolution and expletive detection and rely on dependency annotations and a morphological lexicon. We show that our few, carefully chosen features perform significantly better than several language model baselines and competitively compared to the other systems submitted.