Miracle-dz/UniFAR-FTUs huggingface dataset:
Oblivious Equilibrium for Concentrated Industries

type="main"> This article explores the application of oblivious equilibrium (OE) to highly concentrated markets. We define a natural extended notion of OE, called partially oblivious equilibrium (POE), that allows for there to be a set of strategically important firms (the “dominant” firms), whose firm states are always monitored by every other firm in the market. We perform computational experiments that explore the characteristics of POE, OE, and Markov perfect equilibrium (MPE), and find that POE generally performs well in highly concentrated markets. We also derive error bounds for evaluating the performance of POE for cases where MPE cannot be computed.
Enthalpy and Entropy Decomposition of Free-Energy Changes for Side-Chain Conformations of Aspartic Acid and Asparagine in Acidic, Neutral, and Basic Aqueous Solutions

Trans and gauche conformational equilibria in the side chains of aspartic acid (Asp) and asparagine (Asn) were investigated by measuring the vicinal spin−spin coupling constants of 1H NMR in acidic, neutral, and basic aqueous solutions over a wide range of temperature (5−90 °C). The standard free-energy changes ΔG0 were obtained for the trans to gauche conformational variations on the Cα−Cβ bond with respect to the α-carboxyl group and the β-carboxyl group in Asp (β-amide in Asn) and were decomposed into enthalpic ΔH0 and entropic −TΔS0 components. The hydration of ionic and polar groups in Asp competes against the large intramolecular electrostatic repulsion energy and stabilizes the gauche more than the trans conformer in correspondence to a larger degree of separation of positive and negative partial charges. In the neutral solutions, where both the carboxyl groups are negatively ionized, the hydration part even overwhelms the intramolecular repulsion and leads to a negative ΔH0. The fact that the hydr.
System Combination with Extra Alignment Information

This paper provides the system description of the IHMM team of Dublin City University for our participation in the system combination task in the Second Workshop on Applying Machine Learning Techniques to Optimise the Division of Labour in Hybrid MT (ML4HMT-12). Our work is based on a confusion network-based approach to system combination. We propose a new method to build a confusion network for this: (1) incorporate extra alignment information extracted from given meta data, treating them as sure alignments, into the results from IHMM, and (2) decode together with this information. We also heuristically set one of the system outputs as the default backbone. Our results show that this backbone, which is the RBMT system output, achieves an 0.11% improvement in BLEU over the backbone chosen by TER, while the extra information we added in the decoding part does not improve the results.
Transport-Layer Solutions for Achieving Fairness and Energy Efficiency in Wireless LANs

1. M. Hashimoto, G. Hasegawa, and M. Murata, “A transport-layer solution for alleviating TCP unfairness in a wireless LAN environment,” IEICE Transactions on Communications, vol. E94-B, no. 3, pp. 765–776, Mar. 2011. 2. M. Hashimoto, G. Hasegawa, and M. Murata, “Trade-off evaluation between fairness and throughput for TCP congestion control mechanisms in a wireless LAN environment,” in Proceedings of SPECTS 2010, July 2010. 3. M. Hashimoto, G. Hasegawa, and M. Murata, “Experimental evaluation of TCP congestion control mechanisms in wireless LAN environment with a novel performance metric,” Technical Report of IEICE (NS2009-126), vol. 109, no. 326, pp. 33–38, Dec. 2009. (in Japanese). 4. M. Hashimoto, G. Hasegawa, and M. Murata, “Fairness improvement of hybrid TCP congestion control mechanisms in wireless LAN environment,” Technical Report of IEICE (6th QoS Workshop of Technical Committee on Communication Quality), Dec. 2008. (in Japanese). 本章の背景と目的
3D-Aggregate Quantitative Imaging: Experimental Results and Polarization Effects

We present reconstructions of an aggregate of small spheres from experimental scattered fields using a working frequency of 18 GHz. This target presents at the same time a complex 3D shape and a low-contrast permittivity. Concerted experimental and numerical efforts have enabled to obtain accurate reconstructions. In particular, we took into account the real random noise via a Bayesian framework. Reconstructions have been realized with scattered fields measured in different polarization cases: the results are compared and discussed.
Roll-steering for improving SAOCOM-SAR performances

In the design of a spaceborne Synthetic Aperture RADAR mission with multiple modes and swaths, like the forecoming Argentinean constellation SAOCOM, the minimization of the number of beams, Pulse Repetition Frequency (PRF) switching, and the optimization of the coverage are fundamental issues. The paper discusses the impact of the roll-steering maneuver on these issues. The optimization of roll-steering with respect to satellite altitude is found by a theoretical analysis on a simplified geometry, and by a numerical approach that accounts for the ellipsoidal earth and all the modes foreseen for the sensor. The solution found for the SAOCOM case, shows that a single set of beams and PRFs can be exploited for all the modes.
Synthesis, Characterization and Study of Cadmium and Zinc Sulphide Multilayer Thin Film using CBD

: Cadmium sulphide and cadmium zinc sulphide multilayer thin film was successfully deposited on glass substrate using chemical bath deposition (CBD) technique. Both groups II-VI compounds have semiconducting properties. In nano range the properties of the material changes and these properties can be used in improving many photovoltaic and opto-electronic devices. Thin films have many applications such as multilayer light emmiting diodes, photodetectors, gas sensors, thin film field effect transistors, optoelecronic modulators, electroluminescent devices etc. Variety of manufacture techniques have been used to fabricate thin films. Physical vapour deposition, spray pyrolysis, sputtering, spin coating, molecular beam epitaxy, thermal evaporation, chemical vapour deposition, electro-deposition, silar method, chemical bath method etc are some of the fabrication methods. The present invention relates to providing an improved method and product formed by the method for producing a cadmium sulphide and cadmium zinc sulphide multilayer thin film. Different solutions were prepared having a varying concentration of both cadmium sulphide and cadmium zinc sulphide. The composition of the thin film material is like first layer CdS, second layer(CdZn)S(80/20) and top most third layer (CdZn)S(50/50). The synthesized films are characterized by different techniques and properties are studied. The arrangement of the composite cascaded film will be proposed . The thickness measurement study is done by multiple beam interferometers. The thickness showed that the films prepared were getting deposited and were in the thin film range. The film thickness depends on the bath parameter like time duration for magnetic stirring, temperature and time duration for chemical bath. The thickness of the film is measured after each film deposition.The absorbance spectrum studies for the multilayer bulk thin film is better than mono layer and double layer thin film. The double layer nano thin film shows better absorbance spectrum than the mono layer nano thin film and multilayer nano thin film. Absorbance spectral study provided by UV-visible spectroscopy gives a measure of absorbance as a nature of band gap of semiconductor nano material and the value of band gap and particle size. The band gap energy of the CdS films was calculated and it was found to be as per the generalized results. The main objective of this work is to propose multilayer thin film for solar cell application. The band gap of the bulk and nano thin films has been calculated. The thin film has been proposed as an anti reflecting coating with less light absorption losses for solar cell application that electron-sample including crystalline
eXpress: guided path exploration for efficient regression test generation

Software programs evolve throughout their lifetime undergoing various changes. While making these changes, software developers may introduce regression faults. It is desirable to detect these faults as quickly as possible to reduce the cost involved in fixing them. One existing solution is continuous testing, which runs an existing test suite to quickly find regression faults as soon as code changes are saved. However, the effectiveness of continuous testing depends on the capability of the existing test suite for finding behavioral differences across versions. To address the issue, we propose an approach, called eXpress, that conducts efficient regression test generation based on a path-exploration-based test generation (PBTG) technique, such as dynamic symbolic execution. eXpress prunes various irrelevant paths with respect to detecting behavioral differences to optimize the search strategy of a PBTG technique. As a result, the PBTG technique focuses its efforts on regression test generation. In addition, eXpress leverages the existing test suite (if available) for the original version to efficiently execute the changed code regions of the program and infect program states. Experimental results on 67 versions (in total) of four programs (two from the subject infrastructure repository and two from real-world open source projects) show that, using eXpress, a state-of-the-art PBTG technique, called Pex, requires about 36% less amount of time (on average) to detect behavioral differences than without using eXpress. In addition, Pex using eXpress detects four behavioral differences that could not be detected without using eXpress (within a time bound). Furthermore, Pex requires 67% less amount of time to find behavioral differences by exploiting an existing test suite than exploration without using the test suite.
Exploring protein interfaces with a general photochemical reagent

Protein folding, natural conformational changes, or interaction between partners involved in recognition phenomena brings about differences in the solvent‐accessible surface area (SASA) of the polypeptide chain. This primary event can be monitored by the differential chemical reactivity of functional groups along the protein sequence. Diazirine (DZN), a photoreactive gas similar in size to water, generates methylene carbene (:CH2). The extreme chemical reactivity of this species allows the almost instantaneous and indiscriminate modification of its immediate molecular cage. 3H‐DZN was successfully used in our laboratory for studying protein structure and folding. Here we address for the first time the usefulness of this probe to examine the area of interaction in protein–protein complexes. For this purpose we chose the complex formed between hen egg white lysozyme (HEWL) and the monoclonal antibody IgG1 D1.3. :CH2 labeling of free HEWL or complexed with IgG1 D1.3 yields 2.76 and 2.32 mmol CH2 per mole protein at 1 mM DZN concentration, respectively. This reduction (15%) becomes consistent with the expected decrement in the SASA of HEWL occurring upon complexation derived from crystallographic data (11%), in agreement with the known unspecific surface labeling reaction of :CH2. Further comparative analysis at the level of tryptic peptides led to the identification of the sites involved in the interaction. Remarkably, those peptides implicated in the contact area show the highest differential labeling: H15GLDNYR21, G117TDVQAWIR125, andG22YSLGNWVCAAK33. Thus, protein footprinting with DZN emerges as a feasible methodology useful for mapping contact regions of protein domains involved in macromolecular assemblies.
Simultaneous Tensor Decomposition and Completion Using Factor Priors

The success of research on matrix completion is evident in a variety of real-world applications. Tensor completion, which is a high-order extension of matrix completion, has also generated a great deal of research interest in recent years. Given a tensor with incomplete entries, existing methods use either factorization or completion schemes to recover the missing parts. However, as the number of missing entries increases, factorization schemes may overfit the model because of incorrectly predefined ranks, while completion schemes may fail to interpret the model factors. In this paper, we introduce a novel concept: complete the missing entries and simultaneously capture the underlying model structure. To this end, we propose a method called simultaneous tensor decomposition and completion (STDC) that combines a rank minimization technique with Tucker model decomposition. Moreover, as the model structure is implicitly included in the Tucker model, we use factor priors, which are usually known a priori in real-world tensor objects, to characterize the underlying joint-manifold drawn from the model factors. By exploiting this auxiliary information, our method leverages two classic schemes and accurately estimates the model factors and missing entries. We conducted experiments to empirically verify the convergence of our algorithm on synthetic data and evaluate its effectiveness on various kinds of real-world data. The results demonstrate the efficacy of the proposed method and its potential usage in tensor-based applications. It also outperforms state-of-the-art methods on multilinear model analysis and visual data completion tasks.
MPEG-based Performance Comparison between Network-on-Chip and AMBA MPSoC

Using analytical and simulation results, this paper presents comparative analyses between network on chip and shared-bus AMBA using real application traffic with MPEG-2 video decoder in cycle-accurate realistic simulation environment. We show that despite higher channel latency, NoC has higher bandwidth advantage and outperforms shared-bus AMBA, requiring lower frequency in order to decode the video bitstream at given frame rate.
Improving uptake of flexible sigmoidoscopy screening: a randomized trial of nonparticipant reminders in the English Screening Programme

Abstract Background and study aims Uptake of flexible sigmoidoscopy screening in the English Bowel Scope Screening (BSS) Programme is low. The aim of this study was to test the impact of a nonparticipant reminder and theory-based leaflet to promote uptake among former nonresponders (previously did not confirm their appointment) and nonattenders (previously confirmed their appointment but did not attend). Patients and methods Eligible adults were men and women in London who had not attended a BSS appointment within 12 months of their invitation. Individuals were randomized (1:1:1) to receive no reminder (control), a 12-month reminder plus standard information booklet (TMR-SIB), or a 12-month reminder plus bespoke theory-based leaflet (TMR-TBL) designed to address barriers to screening. The primary outcome of the study was the proportion of individuals screened within each group 12 weeks after the delivery of the reminder. Results A total of 1383 men and women were randomized and analyzed as allocated (n = 461 per trial arm). Uptake was 0.2 % (n = 1), 10.4 % (n = 48), and 15.2 % (n = 70) in the control, TMR-SIB, and TMR-TBL groups, respectively. Individuals in the TMR-SIB and TMR-TBL groups were significantly more likely to attend screening than individuals in the control group (adjusted odds ratio [OR] 53.7, 95 % confidence interval [CI] 7.4 – 391.4, P < 0.001 and OR 89.0, 95 %CIs 12.3 – 645.4, P < 0.01, respectively). Individuals in the TMR-TBL group were also significantly more likely to attend screening than individuals in the TMR-SIB group (OR 1.7, 95 %CIs 1.1 – 2.5, P = 0.01). Across all groups, former nonattenders were more likely to participate in screening than former nonresponders (uptake was 14.2 % and 8.0 %, respectively; OR 2.5, 95 %CIs 1.4 – 4.4, P < 0.01). The adenoma detection rate among screened adults was 7.6 %, which is comparable to the rate in initial attenders. Conclusions Reminders targeting former nonparticipants can improve uptake and are effective for both former nonresponders and nonattenders. Theory-based information designed to target barriers to screening added significantly to this strategy.
Approximate accelerated stochastic simulation of chemically reacting systems

The stochastic simulation algorithm (SSA) is an essentially exact procedure for numerically simulating the time evolution of a well-stirred chemically reacting system. Despite recent major improvements in the efficiency of the SSA, its drawback remains the great amount of computer time that is often required to simulate a desired amount of system time. Presented here is the “τ-leap” method, an approximate procedure that in some circumstances can produce significant gains in simulation speed with acceptable losses in accuracy. Some primitive strategies for control parameter selection and error mitigation for the τ-leap method are described, and simulation results for two simple model systems are exhibited. With further refinement, the τ-leap method should provide a viable way of segueing from the exact SSA to the approximate chemical Langevin equation, and thence to the conventional deterministic reaction rate equation, as the system size becomes larger.
Thermal stability and adhesive strength of boron nitride nano platelets and carbon nano tube modified adhesives

The effect of multi-walled carbon nanotube and/or boron nitride nano platelets usage on shear strength and thermal stability of epoxy based adhesives have been investigated. Commercially available diglycidyl ether of bisphenol A based epoxy was used as matrix and reinforced by using nanofillers. The resulting adhesive was tested for its shear-lap adhesion to aluminum alloy sheets (2024-T3). The nano particles modified epoxy adhesives were characterized by Fourier transform infrared, differential scanning calorimetry, and thermal gravity analyses analysis. These characterizations revealed that incorporation of nano particles can result in enhancement in chemical stability. Single lap strength joint testing was conducted in accordance with ASTM-D-1002-10 standard. Fracture morphologies and the effects of multi-walled carbon nanotubes and boron nitride nano platelets on epoxy adhesive were investigated after shear tests by means of scanning electron microscopy. Compared to neat epoxy, increases of 30% in shear strength and 57% in energy required to break joints have been obtained by multi-walled carbon nanotube/boron nitride nano platelet modification.
John von Neumann Institute for Computing Parallel Exact Inference

c © 2007 by John von Neumann Institute for Computing Permission to make digital or hard copies of portions of this work for personal or classroom use is granted provided that the copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise requires prior specific permission by the publisher mentioned above.
Sentiment Analysis on Bangla and Romanized Bangla Text (BRBT) using Deep Recurrent models

Sentiment Analysis (SA) is an action research area in the digital age. With rapid and constant growth of online social media sites and services, and the increasing amount of textual data such as - statuses, comments, reviews etc. available in them, application of automatic SA is on the rise. However, most of the research works on SA in natural language processing (NLP) are based on English language. Despite being the sixth most widely spoken language in the world, Bangla still does not have a large and standard dataset. Because of this, recent research works in Bangla have failed to produce results that can be both comparable to works done by others and reusable as stepping stones for future researchers to progress in this field. Therefore, we first tried to provide a textual dataset - that includes not just Bangla, but Romanized Bangla texts as well, is substantial, post-processed and multiple validated, ready to be used in SA experiments. We tested this dataset in Deep Recurrent model, specifically, Long Short Term Memory (LSTM), using two types of loss functions - binary crossentropy and categorical crossentropy, and also did some experimental pre-training by using data from one validation to pre-train the other and vice versa. Lastly, we documented the results along with some analysis on them, which were promising.
Development of Automatic Techniques for Refugee Camps Monitoring using Very High Spatial Resolution (VHSR) Satellite Imagery

In the framework of the European project GMOSS (Global Monitoring for Security and Stability) the CRPSM (Centre di Ricerca Progetto San Marco) is developing automatic procedures for detecting and counting dwelling units in refugee camps. The possibility of monitoring refugee camps, using very high spatial resolution satellite (VHSR) images, has been already demonstrated, in the past, by several authors. This paper aims at reporting our results on the way of developing new algorithms to improve the performances of previous techniques in terms of detection accuracy and to extend their applicability to a broader set of background conditions. The algorithms developed by CRPSM to estimate, in an as automatic as possible way, the refugee camps population (tents) are based on the mathematical morphology (MM). The method has been applied to Ikonos and Quickbird VHSR images of several refugee camps (Goz Amer, Mille, Lukole, etc) located in Africa, to solve the tents counting problem. The error associated with these techniques, computed comparing the number of tents detected by the different algorithms with the one obtained by a visual counting, results satisfactorily low. The developed techniques have been compared with other already available methods (eCognition, etc.) and the results are also described.
Event Identification as a Decision Process with Non-linear Representation of Text

We propose scale-free Identifier Network(sfIN), a novel model for event identification in documents. In general, sfIN first encodes a document into multi-scale memory stacks, then extracts special events via conducting multi-scale actions, which can be considered as a special type of sequence labelling. The design of large scale actions makes it more efficient processing a long document. The whole model is trained with both supervised learning and reinforcement learning.
(Meta) Kernelization

Polynomial time preprocessing to reduce instance size is one of the most commonly deployed heuristics to tackle computationally hard problems. In a parameterized problem, every instance I comes with a positive integer k. The problem is said to admit a polynomial kernel if, in polynomial time, we can reduce the size of the instance I to a polynomial in k, while preserving the answer. In this paper, we show that all problems expressible in Counting Monadic Second Order Logic and satisfying a compactness property admit a polynomial kernel on graphs of bounded genus. Our second result is that all problems that have finite integer index and satisfy a weaker compactness condition admit a linear kernel on graphs of bounded genus. The study of kernels on planar graphs was initiated by a seminal paper of Alber, Fellows, and Niedermeier [J. ACM, 2004 ] who showed that Planar Dominating Set admits a linear kernel. Following this result, a multitude of problems have been shown to admit linear kernels on planar graphs by combining the ideas of Alber et al. with problem specific reduction rules. Our theorems unify and extend all previously known kernelization results for planar graph problems. Combining our theorems with the Erdos-Posa property we obtain various new results on linear kernels for a number of packing and covering problems.