Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on Mergers & Acquisitions Target Selection Based on Self-Organizing Mapping Neural Network

This thesis combines Delphi method and self-organizing mapping (SOM) neural network theory. It brings forward the basic steps of learn arithmetic and criterion system of mergers & acquisitions. The SOM neural network is trained by criterion data of mergers & acquisitions which experts provides. After the network model is trained, it can distinguish target enterprises from potential enterprises. The result of training and simulation proves that the method is feasible and practical
Social Data and College Statistics

We correlate aspects of Twitter data with college statistics. We find that the amount of “buzz”about a college on twitter predicts the number of applicants to the college, even when controlling for the number of applicants in the previous year. We also explore various methods to classify the sentiment of tweets about a school. We find that the sentiment of insiders at a college predicts the freshman retention rate, but that this result is explained by average SAT score and school size. The sentiment of Twitter messages about a college does not predict the number of applicants, the acceptance rate, or the graduation rate. The paper adds to the growing literature on the predictive power of social data, documenting its strengths and limitations, and applies these techniques to a novel set of outcomes.
Footloose Capital, Market Access and the Geography of Regional State Aid

The global welfare implications of home market effects in trade models with imperfect competition are little understood. This paper proposes a simple model in which such implications can be easily analyzed. It shows an overall tendency of imperfectly competitive sectors to inefficiently cluster in locations that offer market access advantages. The more so the stronger the market power of firms as well as the intensity of increasing returns to scale and the lower the trade costs. As such features are likely to differ widely across sectors, those results provide theoretical ground to the promotion of regional policies that are also sectorspecific and not only region-specific as currently in the EU.
Microbial biosensors for environmental monitoring.

Microbial biosensors are analytical devices capable of sensing substances in the environment due to the specific biological reaction of the microorganism or its parts. Construction of a microbial biosensor requires knowledge of microbial response to the specific analyte. Linking this response with the quantitative data, using a transducer, is the crucial step in the construction of a biosensor. Regarding the transducer type, biosensors are divided into electrochemical, optical biosensors and microbial fuel cells. The use of the proper configuration depends on the selection of the biosensing element. With the use of transgenic E. coli strains, bioluminescence or fluorescence based biosensors were developed. Microbial fuel cells enable the use of the heterogeneous microbial populations, isolated from wastewater. Different microorganisms are used for different pollutants – pesticides, heavy metals, phenolic compounds, organic waste, etc. Biosensing enables measurement of their concentration and their toxic or genotoxic effects on the microbes. Increasing environmental awareness has contributed to the increase of interest for biomonitoring. Although technologies, such as bioinformatics and genetic engineering, allow us to design complex and efficient microbial biosensors for environmental pollutants, the transfer of the laboratory work to the field still remains a problem to solve.
Three Strikes and You're Out: An Investigation of Professional Baseball's Antitrust Exemption

Professional sports comprise one of the most interesting industries in the United States today. Even though the professional sports industry is small in comparison to other industries, personal consumption expenditures on spectator sports in 1985 amounted to almost three billion dollars. ' These expenditures have increased nearly threefold from 1970 and continue to grow, unaffected by changes in the economic climate. The professional sports industry is also one of the most studied industries in academia. This interest does not arise from its size or percentage of G.N. P., but rather from the inequalities that exist within its economic structure as well as its unusual relationship with regulatory authorities. ' Of particular importance is professional baseball's judicially created immunity from antitrust laws. 4
Energy distribution of secondary electrons from gold on teflon-FEP

This paper presents results of the spectrum of energy of secondary electrons for the energies of perpendicularly incident electrons of 0.4 keV, 2.0 keV, or 3.5 keV in a gold surface deposited on a substratum of Teflon-FEP. Two samples of Teflon-FEP (50 nm) were used with deposition by sputtering gold layers with thicknesses of 2.5 nm and 50 nm. The results show that the energy distribution depends on the energy of irradiation for the sample with the 2.5 nm gold layer, while no significant difference was observed for the sample with the 50 nm layer.
A Decentralized Collision Avoidance Algorithm for Multi-robots Navigation

This paper presents a distributed strategy for the navigation of multiple autonomous robots. The proposed planning scheme combines a decentralized receding horizon motion planner, in which each robot computes its own planned trajectory locally, with a fast navigation controller based on artificial potential fields and sliding mode control technique. This algorithm solves the collision avoidance problem. It explicitly accounts for computation time and is decentralized, making it suited for real time applications. Simulation studies are provided in order to show the effectiveness of the proposed approach.
Propagation of Chaos for Kac-like Particle Models

This thesis concerns various aspects of the Kac model. The Kac model is a Markov jump process for a particle system where the total kinetic energy of the system is conserved. This particle model is connected to a limiting equation, describing the evolution of a one-particle density, when the numbers of particles tends to infinity. To rigourously derive the limiting equation, Kac proved that propagation of chaos holds for his model. Vaguely speaking, here chaos or chaotic means that the two-particle density can be written as a product of two one-particle densities when the numbers of particles tends to infinity. Propagation of chaos means that this property is propagated in time. The thesis contains three papers. The thermosttated Kac model is particle model where the jumps are modeled as in the Kac model. In additions to the jumps, the particles are accelerated between the jumps under the presence of a uniform force with a thermostat, acting equally on all particles. The thermostat ensures that no extra energy is supplied into the system by the force. In paper I we show that propagation of chaos holds for the thermosttated Kac model. In paper II we study a modified Kac model where the expression for the kinetic energy of a particle is replaced by an arbitrary energy function. This includes a onedimensional Kac model for relativistic particles. We show that uniform distribution on the manifold defined by the conservation of total energy is chaotic. We also show that propagation of chaos holds for these modified Kac models. The BGK equation is an approximation to the Boltzmann equation by a relaxation term. In paper III we study a particle model involving jumps and exchanges between particles. We show that this particle model is connected to the one-dimensional spatially homogeneous BGK equation when the numbers of particles tends to infinity.
A polygon-surface reference Korean male phantom (PSRK-Man) and its direct implementation in Geant4 Monte Carlo simulation

Even though the hybrid phantom embodies both the anatomic reality of voxel phantoms and the deformability of stylized phantoms, it must be voxelized to be used in a Monte Carlo code for dose calculation or some imaging simulation, which incurs the inherent limitations of voxel phantoms. In the present study, a voxel phantom named VKH-Man (Visible Korean Human-Man), was converted to a polygon-surface phantom (PSRK-Man, Polygon-Surface Reference Korean-Man), which was then adjusted to the Reference Korean data. Subsequently, the PSRK-Man polygon phantom was directly, without any voxelization process, implemented in the Geant4 Monte Carlo code for dose calculations. The calculated dose values and computation time were then compared with those of HDRK-Man (High Definition Reference Korean-Man), a corresponding voxel phantom adjusted to the same Reference Korean data from the same VKH-Man voxel phantom. Our results showed that the calculated dose values of the PSRK-Man surface phantom agreed well with those of the HDRK-Man voxel phantom. The calculation speed for the PSRK-Man polygon phantom though was 70–150 times slower than that of the HDRK-Man voxel phantom; that speed, however, could be acceptable in some applications, in that direct use of the surface phantom PSRK-Man in Geant4 does not require a separate voxelization process. Computing speed can be enhanced, in future, either by optimizing the Monte Carlo transport kernel for the polygon surfaces or by using modern computing technologies such as grid computing and general-purpose computing on graphics processing units programming.
Arabic text stemming: Comparative analysis

Text classification is the most important research issues in the field of data mining. The main idea of using the stemming technique is to reduce the number of features that can be extracted from the document. Furthermore, the stemming aims to enhance the accuracy of the classifier. This paper aims to study the effectiveness of using stemming techniques. The paper will use two popular word extractions: Khoja and Light stemmers. The results will compare with the result of classification without using the technique of word extraction. In the experiment, the Sequential Minimal Optimization (SMO), Naive Bayesian (NB) J48 and K-nearest neighbors (KNN) were used to build the training models and test the data. By implement the two approaches of word extraction and measured the accuracy of them by precision, recall and f-measure, the results show that the Light stemmers outperforms the Khoja stemmer. Furthermore, the results were comparing with the results of classification without using stemming technique.
Antioxidant activity evaluation of the fungal dye oil-in-water emulsions obtained by cyclic voltammetric technique

Antioxidant potential of the fungal dye, produced by a strain selected from the collection of Epicoccum nigrum bioresearch platform (acronym MIUG) was partially characterized in previous studies. However, the fungal dye antioxidant capacity compared with other potential colorant inhibitors of lipid peroxidation (e.g. cochineal dye) has not been fully elucidated, especially regarding its behavior in emulsions. In the present study, by a voltammetric technique, the antioxidant potential of yellow dye synthesized by fermentation in SSF system Epicoccum nigrum strain selected MIUG 2.15, after immobilization by emulsification in model food emulsions was evaluated. Fungal dye antioxidant activity in stable emulsions is correlated to its electrochemical behavior. Thus, to highlight the potential of oxidation of emulsions containing dyes the cyclic voltamograms (scan rate: 100 mVs -1 ) were determined. Corresponding oxidation peaks were observed more clearly, compared with the corresponding reduction, which were lower. Regarding the control emulsion, which relate to the antioxidant effect of dyes present in the system is properly noted the appearance of a little platinum electrode; the equilibrium potential is E0 = -835 mV. From cyclic voltamograma peak of the emulsion with propyil gallate is notes the reduction in peak intensity for platinum electrode and the appearance of an anode peak (-589.3 mV), corresponding to the propyil gallate introduced in emulsion. Specifically in the case of emulsion containing the cochineal or fungal dye is the appearance of two second anode and cathode peaks in cyclic voltamogram, which means that in this case, there were several redox processes induced by this dyes in emulsions. On the other hand, the currents are small to very small. This is due to-OH groups and = C = a specific colour, which are largely responsible for its antioxidant activity. For fungal dye emulsion the cyclical voltamogram have less defined redox processes. However, small peaks can be assigned to oxidation conjugated double bonds systems present in flavonoids which are found in fungal dye, perhaps by producing a radical intermediate during the oxidation process.
Image denoising by adaptive Compressed Sensing reconstructions and fusions

In this work, Compressed Sensing (CS) is investigated as a denoising tool in bioimaging. The denoising algorithm exploits multiple CS reconstructions, taking advantage of the robustness of CS in the presence of noise via regularized reconstructions and the properties of the Fourier transform of bioimages. Multiple reconstructions at low sampling rates are combined to generate high quality denoised images using several sparsity constraints. We present different combination methods for the CS reconstructions and quantitatively compare the performance of our denoising methods to state-of-the-art ones.
A polygenic model for the evolution and maintenance of conditional strategies

We develop a genetic model for conditional strategies which places such strategies in the context of phenotypic plasticity. The model, which treats conditional strategies as polygenic threshold traits, indicates that, given requisite genetic variation in reaction norms, conditional strategies will evolve to their optimum level and be maintained by stabilizing selection, provided environmental variation results in a fitness trade-off for the alternative conditional phenotypes. The precise value for the evolutionary optimum is found to depend primarily on the probability density function of the environmental variation that influences the production of the conditional phenotypes and the magnitude of the fitness trade-offs of the conditional phenotypes across such environmental variation. The model is tested by application to three well-studied conditional strategies. In each case the predictions of the model are in good agreement with the results of these studies.
The strong matching number of a random graph

The strong matching number sm( G) of a graph G is the maximum number of edges in G that induces a matching in the graph. For fixed o < p < 1, El Maftouhi and Marquez Gordones [Australasian Journal of Combinatorics 10 (1994), 97-104] showed that sm(Gn,p) is one of only a finite number of values for a.e. Gn,p E 9 (n, p). We show that, in fact, sm(Gn,p) is one of only two possible values for a.e. Gn,p E 9(n,p); determine the probability of attaining each value; and find the limiting distribution of the number of maximum strong matchings in Gn,p E 9(n,p).
scorpions Hox gene duplications correlate with posterior heteronomy in Supplementary data tml

Supplementary data tml http://rspb.royalsocietypublishing. org/content/suppl/2014/08/12/rspb.2014. 0661.DC1. h "Data Supplement" References http://rspb.royalsocietypublishing. org/content/281/1792/20140661.full. html#ref-list-1 This article cites 44 articles, 11 of which can be accessed free Subject collections (1856 articles) evolution  Articles on similar topics can be found in the following collections Email alerting service here right-hand corner of the article or click Receive free email alerts when new articles cite this article sign up in the box at the top
Preclinical Restenosis Models: Challenges and Successes

Coronary artery disease remains a major problem for Western societies. The advent of percutaneous interventions, including stents has brought clinical care to a new level of efficacy, yet problems remain. Restenosis following stenting in human coronary arteries appears at last to be yielding to therapeutic strategies, especially drug eluting stents. Because therapeutic percutaneous coronary intervention is widely dominated by the intracoronary stent, restenosis therapies must include the stented coronary artery. Animal models and in particular the porcine coronary model seem to represent the human coronary artery reaction to stenting. It mimics several clinical conditions including thrombosis and neointimal formation. A key question in the era of intravascular technologies is how well this and other models can predict clinical events. This paper discusses the models and their application.
Two-color widefield fluorescence microendoscopy enables multiplexed molecular imaging in the alveolar space of human lung tissue

Abstract. We demonstrate a fast two-color widefield fluorescence microendoscopy system capable of simultaneously detecting several disease targets in intact human ex vivo lung tissue. We characterize the system for light throughput from the excitation light emitting diodes, fluorescence collection efficiency, and chromatic focal shifts. We demonstrate the effectiveness of the instrument by imaging bacteria (Pseudomonas aeruginosa) in ex vivo human lung tissue. We describe a mechanism of bacterial detection through the fiber bundle that uses blinking effects of bacteria as they move in front of the fiber core providing detection of objects smaller than the fiber core and cladding (∼3 μm). This effectively increases the measured spatial resolution of 4 μm. We show simultaneous imaging of neutrophils, monocytes, and fungus (Aspergillus fumigatus) in ex vivo human lung tissue. The instrument has 10 nM and 50 nM sensitivity for fluorescein and Cy5 solutions, respectively. Lung tissue autofluorescence remains visible at up to 200 fps camera acquisition rate. The optical system lends itself to clinical translation due to high-fluorescence sensitivity, simplicity, and the ability to multiplex several pathological molecular imaging targets simultaneously.
A Novel Approach for Signal Transduction Networks Simulation at a Mesoscopic Level

Signal transduction (ST) networks simulation is important to medical research. However, owing to the complexity of the networks, most methods presented for the simulation are not desirable. Here, based on multi-agent system (MAS), we proposed a novel approach characterized by a multi-level discrete space and mesoscopic molecule-agents for describing ST networks at a mesoscopic level. The space is developed for the representation of the cellular space; it provides a relatively sufficient spatial representation with less computational cost. The mesoscopic molecule-agents model the active components within the networks, which will offer new potentials to overcome the combinatorial complexity as well as make computation feasible. To validate this method, the simulations of a composition/decomposition system and the Mitogen-Activated Protein Kinase (MAPK) signal transduction pathway are implemented. Finally, an in-silico experiment with perturbation in the MAPK pathway is made. The results obtained from the simulations demonstrate the validity of the approach.
Enhancing Reasoning and Retrieval Performance on OWL using SQWRL

-The Semantic Web Initiative advanced the web from a syntactically oriented web to semantically oriented web. Different ontology languages are used in modeling information about specific domain in the Semantic Web and the choice of this ontology language will influence the degree of expressivity of concepts of such domain. However, the choice of ontology language does not affect the representation of the model alone, but as well the efficiency of the chosen Semantic Web enabled query language that is to be used on the desired ontology language. Furthermore, the Semantic Web also enables ontology developer to implements rules that will foster ontological reasoning upon the underlying ontology. This research seeks to demonstrate how performance of reasoning and query output can be improved using Web Ontology Language (OWL) as ontology language used to model the concepts of a domain of choice. This was chosen from other ontology languages such as Resource Description Framework/ Resource Description Framework Schema (RDF/RDFS), due to it’s in depth expressivity power. Also, Semantic Queryenhanced Web Rule Language (SQWRL) is chosen from among other Semantic Web enabled query languages, such as OWL Query Language (OWL-QL) and SPARQL RDF Query Language (SPARQL), due to its feature of rightly interpreting the semantics of OWL constructs. An implementation of this reasoning and retrieval performance was further illustrated by the application developed in the research work.
Motor and sensory function of the rectum in different subtypes of constipation.

BACKGROUND It is not known whether evaluation of motor and sensory function of the rectum using a barostat may help to distinguish subtypes of constipation. METHODS Motor and sensory function of the rectum have been evaluated using a barostat in 14 patients with slow transit constipation (STC), 12 patients with constipation-predominant irritable bowel syndrome (IBS) and 18 healthy controls. First minimal distending pressure was determined, after which spontaneous adaptive relaxation of the rectum was monitored. Then a step-wise isobaric distension procedure was performed, during which symptom perception was determined. The distension was followed by a 90-min barostat procedure: for 30 min in the basal state followed by ingestion of a semi-liquid meal (postprandial state). RESULTS Minimal distending pressure was not different between both patient groups and controls, neither was compliance different between constipated patients and controls. The degree of spontaneous adaptive relaxation was in the same range in all groups. During distensions with high pressures, the perception of urge was significantly reduced in STC patients compared to IBS and controls, while the perception of pain was significantly increased in IBS versus STC and controls. Postprandially, a small decrease of rectal volume was only observed in the control group, but not in the patients. CONCLUSIONS Rectal motor characteristics are not different between patients with constipation-predominant IBS, patients with STC and healthy controls while during isobaric distensions, sensations of urge were reduced in STC and sensations of pain were increased in IBS. Rectal visceroperception testing may help distinguish groups of patients with different subtypes of constipation.