Miracle-dz/UniFAR-FTUs huggingface dataset:
Analyses of the DNA-binding and transcriptional activation properties of ExsA, the transcriptional activator of the Pseudomonas aeruginosa exoenzyme S regulon

ExsA has been implicated as a central regulator of exoenzyme S production by Pseudomonas aeruginosa. In this study, the DNA-binding and transcriptional activation properties of ExsA were investigated. ExsA was produced and purified as a fusion protein, MALA3A2, which was shown to bind specifically to promoter regions that regulated transcription of the exoenzyme S trans-regulatory locus (pC) and a locus located directly downstream of exsA (pD). Previously, MALA3A2 was shown to bind the exoS 5' PstI-NsiI region, which contained two independent but coordinately regulated (ExsA-mediated) promoters, pS' (now termed pORF1) and pS. DNase I footprint analysis of the promoter regions bound by ExsA revealed a common protected consensus sequence of TXAAAAXA. The consensus sequence was located -51 to -52 bp upstream of the transcriptional start sites for pD, pS, and pORF1. Promoter fusion, DNA-binding, and mutagenesis analysis indicated that the consensus sequence was important for transcriptional activation. Each ExsA-controlled promoter region contained at least two consensus sites in close proximity, similar to the arrangement of half-sites seen in AraC-controlled (Escherichia coli) or VirF-controlled (Yersinia enterocolitica) promoters. However, the results of this study suggested that only one consensus site was required in the exoenzyme S (pS) or ORF1 promoter (pORF1) to initiate transcription. These data suggest that members of the exoenzyme S regulon can be defined as possessing an ExsA consensus element which maps at bp -51 or -52 relative to the transcriptional start site.
Pervasive grid for large-scale power systems contingency analysis

Optimal control and management of power systems require extensive analyses of phenomena that can compromise their operation in order to evaluate their impact on the security and reliability levels of the electrical networks. For complex networks, this process, known as power systems contingencies analysis, requires large computational efforts, whereas computation times should be less than a few minutes for the information to be useful. Even though many architectures based on conventional parallel and distributed systems have been widely proposed in the literature, they are characterized by low extensibility, reusability, and scalability, and so, they require a sensible hardware upgrade when more computational resources are necessary. This event is not infrequent in power systems where the constant growth of the electrical network complexity and the need for larger security and reliability levels of the plant infrastructures lead to the need of more detailed contingency analysis in shorter times. To address this problem, this paper proposes a pervasive grid approach to define a user-friendly software infrastructure for data acquisition from electrical networks and for data processing in order to simulate possible contingencies in a real electrical network. The grid infrastructure adopts a brokering service, based on an economy-driven model, to satisfy the quality of service constraints specified by the user (i.e., a time deadline to simulate the contingencies). This paper also discusses the deployment of the infrastructure on a network of heterogeneous clusters and PCs to compute the contingency analysis of a realistic electrical network. The experimental results obtained demonstrate the effectiveness of the proposed solution and the potential role of grid computing in supporting intensive computations in power systems
Physically Plausible 3D Scene Tracking: The Single Actor Hypothesis

In several hand-object(s) interaction scenarios, the change in the objects' state is a direct consequence of the hand's motion. This has a straightforward representation in Newtonian dynamics. We present the first approach that exploits this observation to perform model-based 3D tracking of a table-top scene comprising passive objects and an active hand. Our forward modelling of 3D hand-object(s) interaction regards both the appearance and the physical state of the scene and is parameterized over the hand motion (26 DoFs) between two successive instants in time. We demonstrate that our approach manages to track the 3D pose of all objects and the 3D pose and articulation of the hand by only searching for the parameters of the hand motion. In the proposed framework, covert scene state is inferred by connecting it to the overt state, through the incorporation of physics. Thus, our tracking approach treats a variety of challenging observability issues in a principled manner, without the need to resort to heuristics.
Paradigm shift - an introduction to fuzzy logic

FUZZY LOGIC SUGGESTS inaccuracy and imprecision. Webster's dictionary defines the word fuzzy as " not clear, distinct, or precise; blurred. " In a broad sense, fuzzy logic refers to fuzzy sets, which are sets with blurred boundaries, and, in a narrow sense, fuzzy logic is a logical system that aims to formalize approximate reasoning. Fuzzy logic is an approach to computer science that mimics the way a human brain thinks and solves problems. The idea of fuzzy logic is to approximate human decision making using natural language terms instead of quantitative terms. It is formally defined as a form of knowledge representation suitable for notions that cannot be defined precisely, but which depend upon their contexts. It enables computerized devices to reason more like humans. Fuzzy-logic technology has created a paradigm shift evident through many scientific and industrial applications. Interestingly, fuzzy science started in the questioning minds of philosophers. Confused and inquisitive , from Buddha, to Aristotle, to Plato, these ancient philosophers were constantly searching for a " rule of law " beyond true or false. Observing that computer logic was incapable of representing subjective ideas such as " very hot " or " very cold, " in 1965, Zadeh published his ideas of fuzzy set theory that made it possible for computers to distinguish between different shades of gray, similar to the process of human reasoning. He described fuzzy mathematics, devising precise rules for combining vague expressions such as " somewhat fast, " " very hot, " and " usually wrong, " which are particularly useful for controlling robots, machine tools, and various electronic systems. Prof. Terano was inspired by Zadeh's work and introduced fuzzy logic to the Japanese scientific community in 1972. As Bart Kosko, a Zadeh protégé and a professor of electrical engineering at the University of Southern California said: " Fuzziness begins where Western logic ends. " Japan embraced the technology and adapted it to physical control systems. In 1980, F.L. Smidth & Co. of Copenhagen began marketing the first commercial fuzzy expert system: a computer program that controlled the fuel-intake rate and gas flow of a rotating kiln used to make cement. From Hitachi's subway system, to Nissan's fuzzy auto transmission and antiskid braking systems , to Yamaichi Security's fuzzy stock-market investment program for signaling shifts in market sentiment, to Matsushita's fuzzy automobile-traffic controller, Japan has been taking the lead in fuzzy-logic research and development …
MAC: a novel systematically multilevel cache replacement policy for PCM memory

The rapid development of multi-core system and increase of data-intensive application in recent years call for larger main memory. Traditional DRAM memory can increase its capacity by reducing the feature size of storage cell. Now further scaling of DRAM faces great challenge, and the frequent refresh operations of DRAM can bring a lot of energy consumption. As an emerging technology, Phase Change Memory (PCM) is promising to be used as main memory. It draws wide attention due to the advantages of low power consumption, high density and nonvolatility, while it incurs finite endurance and relatively long write latency. To handle the problem of write, optimizing the cache replacement policy to protect dirty cache block is an efficient way. In this paper, we construct a systematically multilevel structure, and based on it propose a novel cache replacement policy called MAC. MAC can effectively reduce write traffic to PCM memory with low hardware overhead. We conduct simulation experiments on GEM5 to evaluate the performances of MAC and other related works. The results show that MAC performs best in reducing the amount of writes (averagely 25.12%) without increasing the program execution time.
The eukaryotic linear motif resource ELM: 10 years and counting

The eukaryotic linear motif (ELM http://elm.eu.org) resource is a hub for collecting, classifying and curating information about short linear motifs (SLiMs). For >10 years, this resource has provided the scientific community with a freely accessible guide to the biology and function of linear motifs. The current version of ELM contains ∼200 different motif classes with over 2400 experimentally validated instances manually curated from >2000 scientific publications. Furthermore, detailed information about motif-mediated interactions has been annotated and made available in standard exchange formats. Where appropriate, links are provided to resources such as switches.elm.eu.org and KEGG pathways.
Negative Sequence Voltage Compensating for Unbalanced Standalone Brushless Doubly-Fed Induction Generator

During the unbalance operation of a standalone brushless doubly-fed induction generator (BDFIG), the negative sequence component causes significant unbalanced effect on the voltage and current of the power winding (PW). In this paper, a new control strategy is proposed to minimize the voltage unbalance effect of a standalone BDFIG under unbalanced loads. The proposed control strategy consists of two parts. The first part represents the conventional direct voltage control strategy to control the frequency and magnitude of the positive sequence PW voltage. The second part is the proposed strategy to minimize the negative sequence component in the output voltage of PW with a negative sequence compensator in the machine side converter. The dual second-order generalized integrator is used to extract negative-sequence component of the PW voltage. Proportional integral controllers are used to obtain reference of the control winding (CW) current which compensate the negative sequence component of the PW voltage. The proportional-integral-resonant controller is applied to regulate the CW current in positive reference frame. A prototype 30 kVA BDFIG test platform is developed in the laboratory to verify the proposed strategy.
Positive media portrayals of obese persons: impact on attitudes and image preferences.

OBJECTIVE The purpose of this research was to assess the impact of nonstereotypical, positive media portrayals of obese persons on biased attitudes, as well as propose a change in media practices that could reduce public weight bias and consequent negative health outcomes for those who experience weight stigma. METHOD Two online experiments were conducted in which participants viewed either a stigmatizing or a positive photograph of an obese model. In Experiment 1 (N = 146), participants viewed a photograph of either a Caucasian or African American obese woman; in Experiment 2 (N = 145), participants viewed either a Caucasian male or female obese model. Multiple linear regression models were used to analyze outcomes for social distance attitudes toward the obese models depicted in the images, in addition to other negative attitudes and image preferences. RESULTS Participants who viewed the stigmatizing images endorsed stronger social distance attitudes and more negative attitudes toward obese persons than participants who viewed the positive images, and there was a stronger preference for the positive images than the stigmatizing images. These results were consistent regardless of the race or gender of the obese model pictured. CONCLUSION The findings indicate that more positive media portrayals of obese individuals may help reduce weight stigma and its associated negative health outcomes.
Efficient mixed implementation method for audio source tracking

It's known that most of the audio sources tracking techniques are complicated as they require high degree of computations and considerable long real time processing. As a result of this, only certain hardware architectures can meet these application requirements. This work is assessing a previously presented source detection algorithm which meant to be adaptive in real time spectrum searching targeting less workload. The described method in this paper is mixing the good features of high accuracy of Delay and Sum Beamforming (DSB) algorithm and low complexity of the General Cross Correlation (GCC) technique. The requirements and constraints were fairly analyzed to reach an optimal implementation that overcomes efficiently the limitations of the alternatives. The presented results show clearly an identical accuracy performance with faster real time implementation.
Impact of S/D tunneling in ultrascaled devices, a Multi-Subband Ensemble Monte Carlo study

Because of the scaling of electronic devices, quantum effects play an important role on their characteristics which are becoming more and more dominant as transistors approach to nanometer scales. Therefore, the inclusion of these effects in advanced device simulators will be mandatory to predict the behavior of future transistors targeting sub-10nm nodes. This work implements Source-to-Drain Tunneling mechanisms (S/D tunneling) in Multi-Subband Ensemble Monte Carlo (MS-EMC) simulators showing the importance of quantum transport effects and the possibility of being implemented in a reliable way on advanced device simulators.
Random Regularization of Brown Spectral Measure

Abstract We generalize a recent result of Haagerup; namely, we show that a convolution with a standard Gaussian random matrix regularizes the behavior of Fuglede–Kadison determinant and Brown spectral distribution measure. In this way, it is possible to establish a connection between the limit eigenvalues distributions of a wide class of random matrices and the Brown measure of the corresponding limits.
Exploiting body biasing for leakage reduction: A case study

In modern System-on-Chip (SoC) designs, the fulfillment of power constraints is one of the most important and challenging tasks. In this framework, the use of both voltage scaling and body biasing techniques is a mainstream strategy largely used for leakage power reduction. This work presents a case study to evaluate the impact of these techniques on an industrial microprocessor-based design. We analyze the impact of body biasing in terms of area penalties and routing efforts. Furthermore, a complete analysis flow is proposed to evaluate the achievable leakage reduction and the expected performance degradation. In order to overcome the limited spectrum of operating configurations covered by a given library set, we propose a practical and effective methodology based on a standard digital design and characterization flow. By using this procedure, a designer can efficiently evaluate the most appropriate leakage/timing trade-offs, and consequently determine the best supply voltage and biasing configurations to implement the design. The experimental results on our testcase demonstrate that body biasing leads to a leakage reduction up to six times with respect to the standard reference supply voltage configuration.
Application of linearized Kalman filter in integration of navigation systems

This contribution presents an analysis and application of Kalman filtering in the field of autonomous and satellite navigation integration for a flying object. This paper deals with properties of the linearized Kalman filter, applied error models and test functionality of the proposed algorithm. An issue of the used and analyzed error models is related with analysis of the sensor properties. Errors for particular inertial measurement units are selected and their implementation to error model of Kalman filter is evaluated. Error characteristics is followed by the analyzed error models for navigation system integration. The article presents a partial solution of dissertation thesis “Integration architectures of navigation systems”, where analysis of Kalman filter leads to proposal of the integrated navigation system for UAV (Unmanned Aerial Vehicle).
A Low Cost Machine Translation Method for Cross-Lingual Information Retrieval

In one form or another language translation is a necessary part of cross-lingual information retrieval systems. Often times this is accomplished using machine translation systems. However, machine translation systems offer low quality for their high costs. This paper proposes a machine translation method that is low cost while improving translation quality. This is done by utilizing multiple web based translation services to negate the high cost of translation. A best translation is chosen from the candidates using either consensus translation selection or statistical analysis. Which to use is determined by a heuristic rule that takes into account that most web based translation services are of similar quality and that machine translation still produces relatively poor results. By choosing the best translation the method is able to increase translation quality over the base systems, which is verified by the experimentation.
A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines

Background Multiple myeloma is a plasma-cell tumor with heterogeneity in molecular abnormalities and treatment response. Design and Methods We have assessed whether human myeloma cell lines have kept patients’ heterogeneity using Affymetrix gene expression profiling of 40 human myeloma cell lines obtained with or without IL6 addition and could provide a signature for stratification of patient risk. Results Human myeloma cell lines, especially those derived in the presence of IL6, displayed a heterogeneity that overlaps that of the patients with multiple myeloma. Human myeloma cell lines segregated into 6 groups marked by overexpression of MAF, MMSET, CCND1, FRZB with or without overexpression of cancer testis antigens (CTA). Cell lines of CTA/MAF and MAF groups have a translocation involving C-MAF or MAFB, cell lines of groups CCND1-1 and CCND1-2like have a t(11;14) and cell lines of group MMSET have a t(4;14). The CTA/FRZB group comprises cell lines that had no or no recurrent 14q32 translocation. Expression of 248 genes accounted for human myeloma cell line molecular heterogeneity. Human myeloma cell line heterogeneity genes comprise genes with prognostic value for survival of patients making it possible to build a powerful prognostic score involving a total of 13 genes. Conclusions Human myeloma cell lines derived in the presence of IL6 recapitulate the molecular diversity of multiple myeloma that made it possible to design, using human myeloma cell line heterogeneity genes, a high-risk signature for patients at diagnosis. We propose this classification to be used when addressing the physiopathology of multiple myeloma with human myeloma cell lines.
Zhiphone : A Phone that Learns Context and User Preferences

Users of a mobile phone are often required to adapt its alarm type to context. While ringing tones may be obtrusive during meetings, a vibration alarm is barely noticeable on a bus. We propose setting the alarm type automatically, based on context-information obtained from a variety of lowcost sensors. Our multi-sensor board captures audio, acceleration, compass readings, temperature, humidity, barometric pressure, and ambient light. Based on raw sensor data, we build five soft sensors representing context properties that are relevant for setting a suitable alarm type. In particular, we determine if the user keeps the phone close to the body, is involved in a conversation, is exposed to high background noise, is outdoors, or is physically active. Although a decision for the alarm type can be made based on the context detected, users generally have different preferences as to what alarm type to use in a given context. We therefore propose learning user preferences through reinforcement, by associating reactions like taking or hanging up an incoming call with rewards and punishments. Our experimental results show that we can accurately detect context, and that context and user preference learning can execute in real-time on an off-the-shelf mobile device.
Specific phospholipid scramblases are involved in exposure of phosphatidylserine, an “eat-me” signal for phagocytes, on degenerating axons

ABSTRACT Axonal degeneration is a key pathological feature of several neurological disorders. Emerging evidence has suggested a pathological connection between axonal degeneration and autophagy, a lysosomal degradation pathway. We recently reported that GSK3B-mediated phosphorylation of MCL1 regulates axonal autophagy to promote axonal degeneration. GSK3B–MCL1 pathway affects ATP production locally in degenerating axons and the exposure of phosphatidylserine (PS), an “eat-me” signal for phagocytes, on degenerating axons, resulting in the failed engulfment of axonal debris in vivo. Here we showed that the PS exposure is accomplished by phospholipid scramblase activity. This finding provides a novel mechanism that local ATP production through autophagy promotes PS exposure on degenerating axons. In addition, it opens new perspectives for the understanding of axonal autophagy to regulate Wallerian degeneration.
The Perception of Doubly Curved Surfaces From Anisotropic Textures

Most existing computational models of the visual perception of three-dimensional shape from texture are based on assumed constraints about how texture is distributed on visible surfaces. The research described in the present article was designed to investigate how violations of these assumptions influence human perception. Observers were presented with images of smoothly curved surfaces depicted with different types of texture, whose distribution of surface markings could be both anisotropic and inhomogeneous. Observers judged the pattern of ordinal depth on each object by marking local maxima and minima along designated scan lines. They also judged the apparent magnitudes of relative depth between designated probe points on the surface. The results revealed a high degree of accuracy and reliability in all conditions, except for a systematic underestimation of the overall magnitude of surface relief. These findings suggest that human perception of three-dimensional shape from texture is much more robust than would be reasonable to expect based on current computational models of this phenomenon.