Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Multidisciplinary Collaboration by Connecting Concepts in Different Domains Supervisor Professor

Social issues such as global warming and energy supply have become so compound and complex that they can not be solved by the contributions of a single discipline. Therefore, multidisciplinary collaborations, in which experts from different disciplines attack problems together from diverse expert perspectives, are expected to be needed. However, studies have reported that, in reality, experts often fail to sufficiently exploit their expertise. It is essential to exploit members' diverse expertise if multidisciplinary collaborations are to be effective. Thus this research aims to promote exploitation of expertise so that multidisciplinary collaborations will produce better outcomes. Through literature study and empirical observations real multidisciplinary collaborations, two challenges have been identified, as follows. Human memory can be considered as a network structure in which associated concepts are closely connected to each other. When one part of memory is stimulated , other associated information is likely to be recalled in a chain reaction. An expert's expert knowledge is also closely connected with other associated knowledge and experiences. However, such expert knowledge memory may not be effectively stimulated due to differences between disciplines. Consequently, idea generation based on members' expertise is less activated. Context gaps between disciplines When an expert mentions an idea from his/her expert perspective, behind the idea there exists a large accumulation of expert knowledge and experiences in the discipline. In multidisciplinary collaboration, especially when a team is newly built, members are likely not to understand well the gap between their contexts, nor perhaps even be aware of it. This may cause problems that ideas based on one's expertise are not well understood by other members and that members are not aware of the differences between their understandings of a concept, which may impair the quality of decision making. ii Against these challenges, this research proposes visually presenting useful connections between expert concepts associated with a concept taken from each discipline of participating members. Addressing the first challenge, members' expert knowledge memories would be stimulated, promoting idea generation based on their expertise. Addressing the second challenge, context gaps between disciplines would be revealed, encouraging the building of common ground. To realize this approach, this research defines associations between general terms and expert terms and the significance of associations indicating the usefulness for the associated expert concept to be presented when a concept is mentioned in discussion. The significance is calculated based on the conceptual closeness between the general term and …
Rationale behind the responses of monetary policy to the real exchange rate in small open economies

We estimate how monetary policy works in small open economies. To do so, we build a dynamic stochastic general equilibrium model that incorporates the basic features of these economies. We conclude that the monetary policy in a group of small open economies (including Australia, Chile, Colombia, Peru and New Zealand) is rather similar to that observed in developed countries. Nevertheless, our results also indicate that there are strong differences due to shocks from the international financial markets (risk premium shocks, mainly) that explain mostly the variability of the real exchange rate, which has important reallocation effects in the short run. In addition, we find that in practice central banks do not face any trade-off responding to these shocks through changes in the interest rate. This result is consistent with the fact that in each country under study, the exchange rate must be included in the policy reaction function.
Self-calibration using a particular motion of camera

In this article, we are interested in the camera self-calibration from three views of a 3-D scene. The originality of our method resides in the new technique used to estimate the homography of the plane at infinity by the minimization of a non-linear cost function that is based on a particular motion of the camera "translation and small rotation". Our approach also permits to calculate the camera parameters and the depths of interest points detected in the images. Experimental results demonstrate the performance of our algorithms, in term of precision and convergence.
Biologically inspired features used for robust phoneme recognition

Formants are regarded as the basic building blocks of vowels; however, they are very rarely used as features for difficult automatic speech recognition tasks. Formant-based research is generally focused on formant extraction, because of the assumption that a better formant extraction method is the only manner to increase the effectiveness of formants. We challenge this assumption by investigating a different use of formants following their extraction. By using the same principles of combining formants as observed in speech perception studies, we create features that show good recognition performance under noisy testing conditions. Improved recognition performance with the proposed formant features is demonstrated by comparing to Mel-frequency cepstrum coefficients and perceptual linear predictive coding features on a hidden Markov model-based automatic speech recognition system.
An Introduction of Dominant Genes in Genetic Algorithm for Scheduling of FMS

This paper proposed a new idea named dominant genes (DGs) in genetic algorithms (GAs) to deal with FMS scheduling problem with alternative production routing. In traditional GAs approach, the crossover mechanism will randomly select a number of genes to undergo crossover. However, these selected genes may not contain or contain only part of the critical structure of its original chromosome. In addition, since the inherited complexity of the scheduling nature, the changes in the structure of the selected genes will further influence its strength. To tackle this problem, the proposed DGs in this paper are to identify and record the best genes in the chromosome. A new crossover mechanism is also designed to ensure the best genes will undergo crossover, and retain the originality of the structure of the crossover genes. The performance of the proposed DGs is testified by comparing it with other heuristic optimizations. The comparison shows that DGs perform better than other approaches
Stochastic control model for R&D race in a mixed duopoly with spillovers and knowledge stocks

We consider the stochastic control model with finite time horizon for a mixed duopoly Research and Development (R&D) race between the profit-maximizing private firm and welfare-maximizing public firm. In our two-firm stochastic control R&D race model with input and output spillovers, the stochastic control variable is taken to be the private firm’s rate of R&D expenditure and the hazard rate of success of innovation has dependence on the R&D effort and knowledge stock. Given the fixed R&D effort of the public firm, the optimal control is determined so as to maximize the private firm’s value function subject to market uncertainty arising from the stochastic profit flow of the new innovative product. We conduct various sensitivity tests with varying model parameters to analyze the effects of input spillover, output spillover and knowledge stock on the optimal control policy and the value function of the profit-maximizing private firm. The R&D effort of the private firm is found to increase when the profit flow rate increases. Moreover, the optimal R&D effort level may decrease with increasing private firm’s knowledge stock and output spillover. The effects of input spillover on the optimal control policy and value function are seen to be relatively small. We examine the robustness of various observed phenomena of the two-firm R&D race with varying values of the fixed R&D effort of the public firm. With regard to public policy issue, we examine the level of the fixed public firm’s R&D effort so that social welfare is maximized.
MIMO radar arrays optimization analysis

Aiming at the problem about MIMO radar arrays, this paper analylizes the problem by the probability of detection. Some detection models are deduced, and a simulation flow is designed. Simulations are carried out based on different system configrations, and an optimization suggestion is obtained about antenna element numbers of long baseline MIMO radar.
LU Decomposition on GPUs: The Impact of Memory Access

Graphics Processing Units (GPUs) are emerging as an attractive computing platform for general purpose computations due to their extremely high floating-point processing performance and their comparatively low cost. In the context of dense linear algebra, the LU decomposition represents a fundamental step in many computationally intensive scientific applications. The use of GPUs can accelerate the computation many times the speed of a single CPU. In this work, we investigate different implementations of the LU decomposition algorithm in a GPU. Our main goal is to parallelize the LU decomposition to fit the highly parallel architecture of modern GPUs, and to evaluate different types of memory access and their impact on the execution time of the algorithm. The results demonstrate that the memory access pattern can significantly impact the performance of the GPU implementation.
Diminished Control in Crowdsourcing

Obtaining high-quality data from crowds can be difficult if contributors do not give tasks sufficient attention. Attention checks are often used to mitigate this problem, but, because the roots of inattention are poorly understood, checks often compel attentive contributors to complete unnecessary work. We investigated a potential source of inattentiveness during crowdwork: multitasking. We found that workers switched to other tasks every 5 minutes, on average. There were indications that increasing switch frequency negatively affected performance. To address this, we tested an intervention that encouraged workers to stay focused on our task after multitasking was detected. We found that our intervention reduced the frequency of task switching. It also improves on existing attention checks because it does not place additional demands on workers who are already focused. Our approach shows that crowds can help to overcome some of the limitations of laboratory studies by affording access to naturalistic multitasking behavior.
A bioinformatics workflow for detecting signatures of selection in genomic data

The detection of “signatures of selection” is now possible on a genome-wide scale in many plant and animal species, and can be performed in a population-specific manner due to the wealth of per-population genome-wide genotype data that is available. With genomic regions that exhibit evidence of having been under selection shown to also be enriched for genes associated with biologically important traits, detection of evidence of selective pressure is emerging as an additional approach for identifying novel gene-trait associations. While high-density genotype data is now relatively easy to obtain, for many researchers it is not immediately obvious how to go about identifying signatures of selection in these data sets. Here we describe a basic workflow, constructed from open source tools, for detecting and examining evidence of selection in genomic data. Code to install and implement the pipeline components, and instructions to run a basic analysis using the workflow described here, can be downloaded from our public GitHub repository: http://www.github. com/smilefreak/selectionTools/
High stakes : testing for tracking, promotion, and graduation

Everyone is in favor of "high education standards" and "fair testing" of student achievement, but there is little agreement as to what these terms actually mean. High Stakes looks at how testing affects critical decisions for American students. As more and more tests are introduced into the country's schools, it becomes increasingly important to know how those tests are used--and misused--in assessing children's performance and achievements. High Stakes focuses on how testing is used in schools to make decisions about tracking and placement, promotion and retention, and awarding or withholding high school diplomas. This book sorts out the controversies that emerge when a test score can open or close gates on a student's educational pathway. The expert panel: Proposes how to judge the appropriateness of a test. Explores how to make tests reliable, valid, and fair. Puts forward strategies and practices to promote proper test use. Recommends how decisionmakers in education should--and should not--use test results. The book discusses common misuses of testing, their political and social context, what happens when test issues are taken to court, special student populations, social promotion, and more. High Stakes will be of interest to anyone concerned about the long-term implications for individual students of picking up that Number 2 pencil: policymakers, education administrators, test designers, teachers, and parents.
Robust, reconfigurable, and power-efficient biosignal recording systems

Wireless sensing of electrophysiological signals in day-to-day life will enable various clinical, research, and wellness applications. This paper reviews the design requirements of biosignal recording interfaces for use in remote, unconstrained environments and put the performance achieved by state-of-the-art designs in perspective. In particular, we emphasize the need for biosignal recording front-ends to provide a dynamic range of approximately 100 dB, while meeting an input-referred noise level of a few μVrms. It is difficult to achieve a low input-referred noise and a high dynamic range using conventional voltage-domain amplifiers; state-of-the-art designs provide only ~60 dB of dynamic range. We propose to process electrophysiological signals in the phase domain, since there is no physical bound on phase. Low-noise VCO-based front-ends can be designed to extend the dynamic range by 40dB without paying a significant power, noise, or area penalty compared to state-of-the-art biosignal recording front-ends. For high-channel-count action-potential recording systems the system power is dominated by the transmitter if raw data is transmitted. In spite of the power reduction achieved by innovative biomedical transmitter designs, on-chip processing becomes necessary to reduce the output data rate for many-channel recording systems. It is important for neuroscientists and electrical engineers to agree upon a scheme to reduce the output data rate. We enlist and discuss a few data-rate reduction options for action-potential recordings. In addition, it is also desirable to make the biosignal sensors self-powered, thus avoiding the need for battery replacement/recharging. We briefly review existing energy-harvesting techniques and discuss future directions.
Comparing the Zagreb indices for connected bicyclic graphs

The first Zagreb index M1(G) and the second Zagreb index M2(G )o f a (molecule) graph G are defined as M1(G )= � u∈V (G) (d(u)) 2 and M2(G )= � uv∈E(G) d(u)d(v), where d(u) denotes the degree of a vertex u in G. The AutoGraphiX system [1] [4] [5] conjectured M1/n ≤ M2/m (where n = |V (G)|
Nonlinear modeling of the stochastic errors of MEMS inertial sensors utilized in smart phones

A robust nonlinear modeling technique based on Fast Orthogonal Search (FOS) is introduced to remove MEMS-based inertial sensor stochastic errors inside smart mobile phones that are used for several purposes including location based services and device usage classification. The proposed method is applied to MEMS-based gyroscopes and accelerometers. Results show that the proposed method models low-cost MEMS sensors errors with no need for de-noising techniques and, using smaller model order and less computation, outperforms traditional methods by two orders of magnitude.
Applications of density matrices in a trapped Bose gas

An overview of the Bose–Einstein condensation of correlated atoms in a trap is presented by examining the effect of interparticle correlations to one- and two-body properties of the above systems at zero temperature in the framework of the lowest order cluster expansion. Analytical expressions for the one- and two-body properties of the Bose gas are derived using Jastrow-type correlation function. In addition numerical calculations of the natural orbitals and natural occupation numbers are also carried out. Special effort is devoted for the calculation of various quantum information properties including Shannon entropy, Onicescu informational energy, Kullback–Leibler relative entropy and the recently proposed Jensen–Shannon divergence entropy. The above quantities are calculated for the trapped Bose gases by comparing the correlated and uncorrelated cases as a function of the strength of the short-range correlations. The Gross–Piatevskii equation is solved, giving the density distributions in position and momentum space, which are employed to calculate quantum information properties of the Bose gas.
Relationship between market orientation and corporate social responsibility with special reference to Sri Lankan financial sector

It is the role of the marketers to add value to the customers by identifying and fulfilling the needs and expectations of their customers. This process is known as market orientation. Meanwhile awareness of the social issues have increased among the society and customers in the past few decades. Therefore, society and customers expectmarketers to be involved in socially responsible measures. Thus, it becomes necessary for the market oriented businesses to move towards corporate social responsibility to fulfill the social expectations of their customers and society. But so far no research has been carried out to analyze the relationship between market orientation and corporate social responsibility. Therefore, main purpose of this study is to investigate relationship between market orientation and corporate social responsibility. Hence findings of this study would be useful to the Sri Lankan financial sector to develop policies to foster socially responsible business behavior by improving their market orientation practices. This research was limited to the Sri Lankan financial sector which consists of banks and finance companies. Customer orientation, competitor orientation and inter-functional coordination are considered as the measurement variables of market orientation and it was derived from Narver and Slater (1990). Researcher adopted quantitative methodology and used structured questionnaires for data collection. Correlation analysis was used for data analysis. Results confirmed that there is a positive relationship between market orientation and CSR. From the findings it can be concluded that organization can improve its socially responsible business behavior by adopting market orientation practices.
A Positive Theory of Moral Management, Social Pressure, and Corporate Social Performance

This paper provides a theory of firm behavior motivated by moral duty, self-interest, and social pressure. A morally-managed and a self-interested firm compete in a market in which their corporate social performance (CSP) provides product differentiation. In addition to acting as consumers, citizens have warm glow preferences for personal giving to social causes, holding shares in firms providing CSP, and contributing to social pressure to increase CSP. Social pressure is delivered by an activist NGO funded by voluntary contributions by citizens. The activist selects a target, demands social action by the target, and threatens harm. The target can fight the activist campaign, but both parties have an incentive to bargain to a resolution. The model charaterizes an equilibrium in the product market, the capital market, and the market for social pressure. The equilibrium establishes a price for CSP and for activist-induced social action. The theory provides predictions of the market values of firms, the prices of products, firm profits, target selection, contributions to the activist, and the amount of CSP. For example, if citizens do not distinguish between morally-motivate CSP and CSP induced by social pressure, the activist is more likely to target the softer, morally-motivated firm. Higher quality activists are better funded, target self-interested firms, and obtain greater social action. Lower quality activists target morally-managed firms.
Call Parameters and Facial Features in Bats: A Surprising Failure of form Following Function

We attempted to correlate echolocation call parameters to a comprehensive array of ear and nose measurements from 12 families of bats. Surprisingly, we failed to find any significant relationships. We did find consistent differences between nasal and oral emitters such as: (a) nasal emitters have higher frequencies with maximum energy for their size than oral emitters, (b) nasal emitting bats tend to have longer, narrower skulls, and (c) nasal emitters have a shorter distance from the nostril to the eye (muzzle length).
A 2×13-bit all-digital I/Q RF-DAC in 65-nm CMOS

This paper presents a 2×13-bit I/Q RF-DAC-based all-digital modulator realized in 65 nm CMOS. The proposed quadrature up-converter uses a 25% duty-cycle clock to isolate the in-phase (I) and quadrature-phase (Q) modulating signals before combining. Using a 1.2 V supply and an on-chip power combiner, the modulator provides more than 21 dBm RF output power within a frequency range of 1.36 to 2.51 GHz. The peak RF output power, overall system and drain energy efficiencies of the modulator are 22.3 dBm, 31.5%, and 39.7%, respectively. Applying digital predistortion (DPD), 64 & 256 constellation points are measured with EVM better than -30 dB. The measured noise floor is below -160 dBc/Hz, with an IQ image rejection and LO leakage of -65 and -63 dBc, respectively. Its linearity has been evaluated with WCDMA modulation. Using DPD, the linearity improves by more than 15 dB.