Miracle-dz/UniFAR-FTUs huggingface dataset:
Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks

Computational gene regulation models provide a means for scientists to draw biological inferences from time-course gene expression data. Based on the state-space approach, we developed a new modeling tool for inferring gene regulatory networks, called time-delayed Gene Regulatory Networks (tdGRNs). tdGRN takes time-delayed regulatory relationships into consideration when developing the model. In addition, a priori biological knowledge from genome-wide location analysis is incorporated into the structure of the gene regulatory network. tdGRN is evaluated on both an artificial dataset and a published gene expression data set. It not only determines regulatory relationships that are known to exist but also uncovers potential new ones. The results indicate that the proposed tool is effective in inferring gene regulatory relationships with time delay. tdGRN is complementary to existing methods for inferring gene regulatory networks. The novel part of the proposed tool is that it is able to infer time-delayed regulatory relationships.
Sequence Similarity Using Gaines Hidden Markov Model for Failure Prediction

A key challenge in present invention is to predict the future failures based on historic failures. There are an enormous number of faults that can occur in a system which leads to system failure. As faults are unknown and cannot be measured, they produce error messages on their detection. A Hidden Markov Model for the error sequence is created using a well known Gaines optimization technique. A sensitivity analysis is made and an optimal path is determined. Using a heuristic homology algorithm a sequence alignment is performed to identify the maximum match between two sequences. A scoring matrix is stimulated for the alignment algorithm.
Inequality and attitudes: postcommunism, western capitalism and beyond

This paper* deals with attitudes towards inequality in cross-national perspective using survey data of the International Social Survey Programme (ISSP) of 1992. Factor analysis shows that perceptions and evaluations of inequality and stratification refer to four attitudinal dimensions: Egalitarianism, meritocratic beliefs, functionalist convictions and the perception of non-universalistic status ascription. With these dimensions one gets an impression of the patterns of attitudes held in different countries. The main differences between post-communist and western capitalist countries concern egalitarian attitudes: East Europeans are much more egalitarian. This applies especially to the role of the state. Concerning the other three dimensions, other variables explain international variation in attitudes better than the belonging to the East or the West. Nevertheless, over the whole range of questions there is a visible separation between post-communist and western capitalist countries - but not into two „blocs“, but into a number of „families of nations“. Cluster analysis brings together societies that are similar in terms of social history as well as in terms of geography and welfare institutions.
Dephosphorylation-Induced Ubiquitination and Degradation of FMRP in Dendrites: A Role in Immediate Early mGluR-Stimulated Translation

Fragile X syndrome is caused by the loss of fragile X mental retardation protein (FMRP), which represses and reversibly regulates the translation of a subset of mRNAs in dendrites. Protein synthesis can be rapidly stimulated by mGluR-induced and protein phosphatase 2a (PP2A)-mediated dephosphorylation of FMRP, which is coupled to the dissociation of FMRP and target mRNAs from miRNA-induced silencing complexes. Here, we report the rapid ubiquitination and ubiquitin proteasome system (UPS)-mediated degradation of FMRP in dendrites upon DHPG (3,5-dihydroxyphenylglycine) stimulation in cultured rat neurons. Using inhibitors to PP2A and FMRP phosphomutants, degradation of FMRP was observed to depend on its prior dephosphorylation. Translational induction of an FMRP target, postsynaptic density-95 mRNA, required both PP2A and UPS. Thus, control of FMRP levels at the synapse by dephosphorylation-induced and UPS-mediated degradation provides a mode to regulate protein synthesis.
Novel three-phase CM/DM conducted emissions separator

This paper presents two novel three-phase common mode/differential mode noise separation networks, a passive and an active network, to be used in EMC conducted emission measurements of three-phase equipment. The passive network is analyzed theoretically and a prototype is constructed. Its evaluation is presented through frequency response measurements and conducted emission tests performed on a three-phase motor drive and verifies that the network is capable of separating the common and differential mode information in a CE measurement condition
Game Theoretic Issues in Cognitive Radio Systems (Invited Paper)

The ability to model independent decision makers whose actions potentially affect all other decision makers makes game theory attractive to analyze the performances of wireless communication systems. Recently, there has been growing interest in adopting game theoretic methods to cognitive radio networks for power control, rate adaptation and channel access schemes. This work presents several results in game theory and their applications in cognitive radio systems. First, we compute the Nash equilibrium power allocation and rate adaptation policies in cognitive radio systems using static game and dynamic Markovian game frameworks. We then describe how mechanism design helps to design a truth revealing channel access scheme. Finally, we introduce the correlated equilibrium concept in stochastic games and its application to solve the transmission control problem in a cognitive radio system.
Mobile application testing on smart devices using MTAAS framework in cloud

Testing of mobile applications which run on smart devices is more complex due to diversity of mobile devices and computational resources. Mobile testing using emulators which doesn't include real network traffic and testing mobile applications in more than one portable device in single system was also not possible in normal testing. In order to overcome the draw backs of normal testing, in this paper we deployed a Mobile Testing as a Service (MTAAS) framework in cloud environment. By using MTAAS framework many mobile applications can be tested in different portable devices and different mobile platforms. Testing of mobile applications using MTAAS provides most realistic results since it includes real network speed. Finally, we conducted an experiment in MTAAS framework and testing results shows that MTAAS can effectively reduce the complexity of mobile testing on different smart devices.
Continual Keystroke Biometric Authentication on Short Bursts of Keyboard Input

This study focuses on intruder detection. Short bursts of keyboard input are analyzed to continually authenticate computer users and verify that they are the authorized ones. The biometric system consists of components for data capture, feature extraction, authentication classification, and ROC curve generation. Experiments were performed on three types of input: text, spreadsheet, and browser. For text input, system performance was obtained as a function of two independent variables: the population size and the number of keystrokes per sample. For each population size, the EER decreased roughly logarithmically as the number of keystrokes per sample was increased. The preliminary results on spreadsheet and browser input indicated considerably weaker performance and further research is required to determine the true biometric value of these types of input.
Procyanidin B3, an inhibitor of histone acetyltransferase, enhances the action of antagonist for prostate cancer cells via inhibition of p300‐dependent acetylation of androgen receptor

Increasing evidence suggests that AR (androgen receptor) acetylation is critical for prostate cancer cell growth. In the present study, we identified Pro‐B3 (procyanidin B3) as a specific HAT (histone acetyltransferase) inhibitor. Pro‐B3 selectively inhibited the activity of HATs, but not other epigenetic enzymes. Pro‐B3 substantially inhibited the p300‐mediated AR acetylation, both in vitro and in vivo. Pro‐B3 inhibited both p300‐dependent and agonist‐induced AR transcription. We demonstrate that the p300‐mediated AR acetylation is critical for the hormone responsiveness of AR. Interestingly, B3 treatment efficiently enhanced the antagonist activity of flutamide through suppression of p300 HAT activity, demonstrating that relative p300 activity is critical for the antagonist action. Finally, Pro‐B3 treatment inhibited acetylation‐dependent prostate cell proliferation and expression of cell‐cycle control genes, subsequently increasing cell death, indicating the functional importance of AR acetylation for prostate cancer cell growth.
CFTR biomarkers: time for promotion to surrogate end-point

In patients with cystic fibrosis, cystic fibrosis transmembrane conductance regulator (CFTR) biomarkers, such as sweat chloride concentration and/or nasal potential difference, are used as end-points of efficacy in phase-III clinical trials with the disease modifying drugs ivacaftor (VX-770), VX809 and ataluren. The aim of this project was to review the literature on reliability, validity and responsiveness of nasal potential difference, sweat chloride and intestinal current measurement in patients with cystic fibrosis. Data on clinimetric properties were collected for each biomarker and reviewed by an international team of experts. Data on reliability, validity and responsiveness were tabulated. In addition, narrative answers to four key questions were discussed and agreed by the team of experts. The data collected demonstrated the reliability, validity and responsiveness of nasal potential difference. Fewer data were found on reliability of sweat chloride concentration; however, validity and responsiveness were demonstrated. Validity was demonstrated for intestinal current measurement, but further information is required on reliability and responsiveness. For all three end-points, normal values were collected and further research requirements were proposed. This body of work adds useful information to support the promotion of CFTR biomarkers to surrogate end-points and to guide further research in the area.
Biological Motion Recognition Using a MT-like Model

We propose a bio-inspired system for biological motion recognition in image sequences. Our system has two main contributions. We propose a bio-inspired spiking VI model that transforms a video sequence into spikes train according to local motion detectors. The motion detectors are directionally spatial-temporal filters properly tuned for a certain range of velocity. At the same time we propose a method to obtain a histogram map representation for the velocity distribution of VI output. This histogram map acts as a MT-like model containing the spatial-temporal information of an event. We also propose a distance between histogram maps to realize motion categorization. In order to evaluate the performance of our approach, we ran our system in Giese database which contains 40 sequences and two actions, walk and march. The results reveal that motion categorization can be reliably estimated from the analysis of spike trains together with a coarse estimation of their spatial position
Introduction of a human based attention model for robotic navigation

In robotics, vision based navigation techniques are desirable as cameras are relatively cheap sensors that provide a rich range of information about an environment. However, visual based navigation is still hindered by place recognition performance in long time navigation situations. For example, the comparison of locations between day and night or sun and rain are tasks where common feature extraction techniques fail. Humans are considered capable of long term visual navigation. As part of this system humans fixate on various locations to gather salient visual information from a scene. It is hypothesised by mimicking human fixation, place recognition performance can be improved. This paper presents the initial investigation towards utilising a state-of-the-art vision attention model to locate salient regions within an image useful for place recognition performance. The preliminary results demonstrate that the visual attention model can reduce the total amount of the image used by 18% and still achieve similar place recognition performance to utilising the whole image. The results have also shown good place recognition performance with only 45% of the image, achieving 53% accuracy compared with the best performance of existing techniques 60% with 100% of the image.
A spatial examination of Ohio ’ s economic growth

It is widely acknowledged that Ohio’s economy involves distinct spatial patterns across different regions of the state. Despite this, data sources have not been available at a small enough spatial scale to allow analysis of patterns of labor market change over time in urban, suburban and outlying areas. This study draws on a new database derived from establishment level (ES202) information on employment and earnings developed by the Ohio Urban Universities Program (UUP). The database allows us to examine growth of employment and earnings over the period from the first quarter of 1989 to the first quarter of 1998 for each zip-code area in the state. A major feature of the changing economic landscape during the last decade has been the movement of firms from urban to suburban and outlying locations. Our examination analyzes these changing patterns of employment, earnings and establishments by classifying the 1,009 Ohio zip-code areas into urban, suburban and outlying areas. ∗The authors would like to thank the Ohio Urban Universities Program for funding of the development of the ES202 data used in this study.
Simplified LLR calculation for DVB-S2 LDPC decoder

The computation of the Log-Likelihood Ratio (LLR) at the channel output may impose great demand of memory and hardware area, especially for high-order modulations. This paper introduces a new approach for the approximation of the LLR in AWGN channels based on the splitting of the original constellation into smaller sectors. Each new sector has a less complex configuration in which it is possible to take into account only two symbols besides the received one. The proposed solution is applied for the 8-PSK and 16-APSK constellations adopted in the Digital Video for Satellite Second Generation standard (DVBS2).
erm(C) is the predominant genetic determinant for the expression of resistance to macrolides among methicillin-resistant Staphylococcus aureus clinical isolates in Greece.

OBJECTIVES Macrolide, lincosamide and streptogramin type B (MLS(B)) resistance was determined in Staphylococcus aureus clinical isolates from two University Hospitals. METHODS Antibiotic resistance was investigated by double disc diffusion and MIC determination. Resistance determinants were detected by PCR and DNA hybridization, while clonal types were identified by pulsed-field gel electrophoresis (PFGE) analysis of SmaI DNA fragments. RESULTS Among methicillin-susceptible S. aureus (MSSA) isolates, inducible and MS phenotypes were detected, with the predominance of the erm(A) gene, followed by the msr(A) and erm(C) genes. The majority of methicillin-resistant S. aureus (MRSA) isolates expressed the constitutive phenotype and carried the erm(C) gene. PFGE revealed the dissemination of two major clones among the MRSA in both hospitals. CONCLUSIONS erm(C) is the predominant genetic determinant for the expression of MLS(B) resistance among S. aureus isolates, especially MRSA, in Greece. This is due to the spread of two major clones in the country.
cient Spectral Coe cient CalculationUsing Circuit Output

Many problems in the eld of digital logic may be solved more eeciently in the spectral domain than in the Boolean domain. However, the primary drawback of spectral techniques is the large complexity associated with the calculation of the spectrum of a Boolean function. We present a new method for the computation of a spectral coeecient that has a complexity equal to O(j E j) where j E j is the number of edges in a binary decision diagram characterizing the circuit. This result is especially signiicant for techniques that require the calculation of only a few spectral coeecients since it allows the computations to be accomplished very eeciently and does not require storage resources for a large number values. Furthermore, this method holds for any general spectral transform and does not require the transformation matrix to be recursively deened or sparse.
A recommender system to restore images with impulse noise

We build a collaborative filtering recommender system to restore images with impulse noise for which the noisy pixels have been previously identified. We define this recommender system in terms of a new color image representation using three matrices that depend on the noise-free pixels of the image to restore, and two parameters: $k$, the number of features; and $\lambda$, the regularization factor. We perform experiments on a well known image database to test our algorithm and we provide image quality statistics for the results obtained. We discuss the roles of bias and variance in the performance of our algorithm as determined by the values of $k$ and $\lambda$, and provide guidance on how to choose the values of these parameters. Finally, we discuss the possibility of using our collaborative filtering recommender system to perform image inpainting and super-resolution.
Efficient Replication of Factor Returns: Theory and Applications

This article presents alternative methods for constructing factor-replicating portfolios, which include portfolios that have unit exposure to a target factor, zero exposure to other factors, and minimum portfolio risk. The authors provide empirical evidence that constrained factor portfolios, with a limited number of assets and relatively low turnover, tracked several Barra equity risk model pure factor returns reasonably well. They also illustrate how factor-mimicking portfolios could have been utilized in the past to enhance both passive and active investment strategies. Factor-mimicking portfolios can be used to hedge out the unintended factor exposures of conventional benchmarks, which are aimed at targeting a particular beta factor, and thus enable plan sponsors to better manage their optimal allocations to beta factor risks. Additionally, factor-mimicking portfolios can be utilized to hedge out the style exposures of active stock-picking strategies enabling active managers to capture pure alpha.
After the gold rush: The politics of economic restructuring in Indonesia in the 1980s

To understand the political and economic nature of Indonesia under the New Order we must comprehend the enormous significance of oil earnings and revenues. The consolidation of the power of the state and its officials, the process of industrialisation and the emergence of major domestic corporate groups have all been built around oil. Consequently the collapse of oil prices in 1981-82 and the more disastrous falls in early 1986 have posed fundamental threats to the fabric of power and policy in Indonesia.
The Protein Quality Control Machinery Regulates Its Misassembled Proteasome Subunits

Cellular toxicity introduced by protein misfolding threatens cell fitness and viability. Failure to eliminate these polypeptides is associated with various aggregation diseases. In eukaryotes, the ubiquitin proteasome system (UPS) plays a vital role in protein quality control (PQC), by selectively targeting misfolded proteins for degradation. While the assembly of the proteasome can be naturally impaired by many factors, the regulatory pathways that mediate the sorting and elimination of misassembled proteasomal subunits are poorly understood. Here, we reveal how the dysfunctional proteasome is controlled by the PQC machinery. We found that among the multilayered quality control mechanisms, UPS mediated degradation of its own misassembled subunits is the favored pathway. We also demonstrated that the Hsp42 chaperone mediates an alternative pathway, the accumulation of these subunits in cytoprotective compartments. Thus, we show that proteasome homeostasis is controlled through probing the level of proteasome assembly, and the interplay between UPS mediated degradation or their sorting into distinct cellular compartments.
Multi-channel technology based animated interaction in E-paper device

E-paper device has good performance in embedded mobile reading field benefits from many merits. This kind of display material is applicable for protracted reading and brings comfortable reading experience. This display screen technology has given birth to numerous innovative mobile application, such as E-book, E-newspaper, E-board etc. However, in human-computer interaction aspect, E-paper is still kept in a primitive level for the slow refreshment speed, Animated transition can show the process of interaction and give people timely feedback. It's good for improving user's interactive experience. This paper presented a novel and effective interaction method based on touch screen in E-paper device. Based on multi-channel technology of E-paper display controller, modeling paper bending and page selection animation are designed. The proposed interaction method achieved the benefits of timely response. The experiment and evaluation indicated that the proposed interaction method is more convenient and works better than common method.
Deep representation and stereo vision based vehicle detection

Vision based vehicle detection is the key component of intelligent transportation technology. Monocular vision based technology is with the shortage of high false detection rate while stereo vision based technology is with the shortcomings of long time-consuming for depth map calculation. Focus on this issue, a monocular and binocular vision based vehicle detection and tracking algorithm is proposed. Firstly, a Deep Convolutional Neural Networks (DCNN) is trained to search for the whole area of image so that vehicle hypothesis can be generated in a short time. Then the dense disparity map and UV disparity map only in the area containing vehicle hypothesis are calculated with binocular vision. By analyzing in the UV disparity map, false detection is eliminated and accurate vehicle position in image coordinate as well as world coordinate is maintained. Experiment results demonstrate that the proposed vehicle detection algorithm is with the merits of both monocular and stereo vision based method and is with high application value.
DEDICATED SPECTRAL METHOD OF BOOLEAN FUNCTION DECOMPOSITION

Spectral methods constitute a useful tool in the analysis and synthesis of Boolean functions, especially in cases when other methods reduce to brute-force search procedures. There is renewed interest in the application of spectral methods in this area, which extends also to the closely connected concept of the autocorrelation function, for which spectral methods provide fast calculation algorithms. This paper discusses the problem of spectral decomposition of Boolean functions using the Walsh transform and autocorrelation characteristics.