Miracle-dz/UniFAR-FTUs huggingface dataset:
Antagonistic Roles of PP2A-Pab1 and Etd1 in the Control of Cytokinesis in Fission Yeast

In Schizosaccharomyces pombe, Etd1 is a positive regulator of the septation initiation network (SIN), a conserved GTPase-regulated kinase cascade that triggers cytokinesis. Here we show that a mutation in the pab1 gene, which encodes the B-regulatory subunit of the protein phosphatase 2A (PP2A), suppresses mutations in the etd1 gene. Etd1 is required for the function of the GTPase Spg1, a key regulator of SIN signaling. Interestingly, the loss of Pab1 function restored the activity of Spg1 in Etd1-deficient cells. This result suggests that PP2A-Pab1–mediated dephosphorylation inhibits Spg1, thus antagonizing Etd1 function. The loss of pab1 function also rescues the lethality of mutants of other genes in the SIN cascade such as mob1, sid1, and cdc11. Two-hybrid assays indicate that Pab1 physically interacts with Mob1, Sid1, Sid2, and Cdc11, suggesting that the phosphatase 2A B-subunit is a component of the SIN complex. Together, our results indicate that PP2A-Pab1 plays a novel role in cytokinesis, regulating SIN activity at different levels. Pab1 is also required to activate polarized cell growth. Thus, PP2A-Pab1 may be involved in coordinating polar growth and cytokinesis.
Are Cognitive Skills Context-Bound?

Effective problem solving, sound decision making, insightful invention—do such aspects of good thinking depend more on deep expertise in a specialty than on reflective awareness and general strategies? Over the past thirty years, considerable research and controversy have surrounded this issue. An historical sketch of the arguments for the strong specialist position and the strong generalist position suggests that each camp, in its own way, has oversimplified the interaction between general strategic knowledge and specialized domain knowledge. We suggest a synthesis: General and specialized knowledge function in close partnership. We explore the nature of this partnership and consider its implications for educational practice.
A face recognition algorithm using Gabor wavelet and orthogonal locality preserving projection

Since Gabor features are robust to changes in illumination and facial expression and have been successfully applied for face recognition. The locality preserving projection (LPP) is nonorthogonal and makes it difficult to reconstruct the data. The orthogonal locality preserving projection (OLPP) produces orthogonal basis functions and can have more locality preserving power than LPP. OLPP has more discriminating power than LPP. Therefore, our face recognition algorithm using Gabor wavelet and OLPP is proposed. First, Gabor wavelets extract Gabor features from face images, then OLPP reduces the dimensionality of the Gabor feature vectors, finally, the nearest neighbor classifier is adopted for classification and recognition. The proposed algorithm is experimented on ORL and Yale databases, the best recognition rates of the algorithm are 97.5% and 100% respectively. Obviously, the experimental results demonstrate the effectiveness of our proposed algorithm.
Towards A Logic For Causal Reasoning

Causality has recently entered, in one way or the other, a number of diierent theories of actions and change. It proved a very useful tool when addressing speciic representation problems in this area. However, none of these ad hoc notions of causal-ity provide a uniform platform for causal reasoning. The purpose of this paper is to make a rst step towards a pure logic of causal statements and commonsense reasoning about them. Our basic theory allows a uniform representation of causal knowledge of direct, indirect, and delayed eeects of events. The syntax supports the crucial distinction between a cause from a mere context, and it allows to formulate events to which common sense does not attribute a cause at all (such as entirely volitional actions or recurring`natural' events). The semantics of a causal theory is given in terms of causally valid evolutions of the world. With respect to this concept, we prove for a restricted class of theories that they always admit a meaningful interpretation.
Bootstrapping and maintaining trust in the cloud

Today's infrastructure as a service (IaaS) cloud environments rely upon full trust in the provider to secure applications and data. Cloud providers do not offer the ability to create hardware-rooted cryptographic identities for IaaS cloud resources or sufficient information to verify the integrity of systems. Trusted computing protocols and hardware like the TPM have long promised a solution to this problem. However, these technologies have not seen broad adoption because of their complexity of implementation, low performance, and lack of compatibility with virtualized environments. In this paper we introduce keylime, a scalable trusted cloud key management system. keylime provides an end-to-end solution for both bootstrapping hardware rooted cryptographic identities for IaaS nodes and for system integrity monitoring of those nodes via periodic attestation. We support these functions in both bare-metal and virtualized IaaS environments using a virtual TPM. keylime provides a clean interface that allows higher level security services like disk encryption or configuration management to leverage trusted computing without being trusted computing aware. We show that our bootstrapping protocol can derive a key in less than two seconds, we can detect system integrity violations in as little as 110ms, and that keylime can scale to thousands of IaaS cloud nodes.
The Length of Promoter Sequence Affects The De Novo Initiation By T7 RNA Polymerase in Vitro: New Insights Into The Evolution of Promoters For Single Subunit RNA Polymerases

RNA polymerases (RNAPs) differ from other polymerases in that they can bind promoter sequences and initiate de novo transcription. Promoter recognition requires the presence of specific DNA binding domains in the polymerase. The structure and mechanistic aspects of transcription by the bacteriophage T7 RNA polymerase (T7 RNAP) are well characterized. This single subunit RNAP belongs to the family of RNAPs which also includes the T3, SP6 and mitochondrial RNAPs. High specificity for its promoter, the requirement of no additional transcription factors, and high fidelity of initiation from a specific site in the promoter makes it the polymerase of choice to study the mechanistic aspects of transcription. The structure and function of the catalytic domains of this family of polymerases are highly conserved suggesting a common mechanism underlying transcription. Although the two groups of single subunit RNAPs, mitochondrial and bacteriophage, have remarkable structural conservation, they recognize quite dissimilar promoters. Specifically, the bacteriophage promoters recognize a 23 nucleotide promoter extending from −17 to + 6 nucleotides relative to the site of transcription initiation, while the well characterized promoter recognized by the yeast mitochondrial RNAP is nine nucleotides in length extending from −8 to +1 relative to the site of transcription initiation. Promoters recognized by the bacteriophage RNAPs are also well characterized with distinct functional domains involved in promoter recognition and transcription initiation. Thorough mutational studies have been conducted by altering individual base-pairs within these domains. Here we describe experiments to determine whether the prototype bacteriophage RNAP is able to recognize and initiate at truncated promoters similar to mitochondrial promoters. Using an in vitro oligonucleotide transcriptional system, we have assayed transcription initiation activity by T7 RNAP. When a complete or almost complete (20 to 16 nucleotide) double stranded T7 RNAP promoter sequence is present, small RNA’s are produced through template-independent and promoter-dependent stuttering corresponding to abortive initiation, and this effect was lost with a scrambled promoter sequence. When partial double stranded promoter sequences (10 to 12 nucleotides) are supplied, template dependent de novo initiation of RNA occurs at a site different from the canonical +1-initiation site. The site of transcription initiation is determined by a recessed 3’ end based paired to the template strand of DNA rather than relative to the partial promoter sequence. Understanding the mechanism underlying this observation helps us to understand the role of the elements in the T7 promoter, and provides insights into the promoter evolution of the single-subunit RNAPs.
Performance evaluation of multiple lift push-pull LUO converters for automotive applications

Solar energy power generation has several advantages such as low maintenance costs; environment friendly, no rotating parts in construc-tion gives no noise. In recent years, solar power is used to charge the batteries of electric vehicles and instead of internal combustion En-gines the Electric motors such as DC motors, Brushless DC (BLDC) motors are used for driving the vehicles. The Multiple Lift Push-Pull Luo (MLPPL) converter is a DC-DC converter, which combines both switched capacitor and voltage lift techniques. Further, the MLPPL converters can be used in high power density, high power efficiency and voltage transfer gain applications. In this work, a MLPPL convert-er integrated with voltage source inverter (VSI) loading BLDC motor drive for automotive applications have been proposed. Further, the simulation of the proposed design has been carried out using MATLAB/Simulink Software. The torque of the BLDC motor has been varied and the performance of the MLPPL converter has been analyzed. Results demonstrate that the proposed design is capable to operate over a wide range of torque, which fulfills the application of Electric Vehicle.
Impact of Community Structure on Network Efficiency and Communicability

To explore the impact of community structure on some measures of about the capability of information transfer and transformation occurring on such topologies, we set up a kind of network model with community structure which shows obvious local and global small world characteristics. Under the control of the parameters of the network generation, the networks with the different level on cohesive intension of community and rewire randomization can be got. Then we compare the global efficiency and network communicability relative to the different values of control parameters. We show that transport is more difficult with the more pronounced community structure.
Relations between concurrent hard X-ray sources in solar flares

Context. Solar ares release a large fraction of their energy into non-thermal electrons, but it is not clear where and how. Bremsstrahlung X-rays are observed from the corona and chromosphere. Aims. We aim to characterize the acceleration process by the coronal source and its leakage toward the footpoints in the chromosphere. The relations between the sources reect the geometry and constrict the conguration of the are. Methods. We studied solar ares of GOES class larger than M1 with three or more hard X-ray sources observed simultaneously in the course of the are. The events were observed with the X-ray satellite RHESSI from February 2002 until July 2005. We used imaging spectroscopy methods to determine the spectral evolution of each source in each event. The images of all of the ve events show two sources visible only at high energies (footpoints) and one source only visible at low energies (coronal or looptop source, in two cases situated over the limb). Results. We nd soft-hard-soft behavior in both, coronal source and footpoints. The coronal source is nearly always softer than the footpoints. The footpoint spectra di er signicantly only in one event out of ve. Conclusions. The observations are consistent with acceleration in the coronal source and an intricate connection between the corona and chromosphere.
WikiPop: personalized event detection system based on Wikipedia page view statistics

In this paper, we describe WikiPop service, a system designed to detect significant increase of popularity of topics related to users' interests. We exploit Wikipedia page view statistics to identify concepts with significant increase of the interest from the public. Daily, there are thousands of articles with increased popularity; thus, a personalization is in order to provide the user only with results related to his/her interest. The WikiPop system allows a user to define a context by stating a set of Wikipedia articles describing topics of interest. The system is then able to search, for the given date, for popular topics related to the user defined context.
Technical Report : Contention Adapting Search Trees

With multicores being ubiquitous, concurrent data structures are becoming increasingly important. This paper describes and investigates a novel approach to concurrent data structure design where the data structure collects statistics about contention and adapts dynamically according to this statistics. We use this approach to create a contention adapting binary search tree (CA tree) that can be used to implement concurrent ordered sets and maps. Our experimental evaluation shows that CA trees scale similar to recently proposed algorithms on a big multicore machine on various scenarios with a larger set size while outperforming the same data structures in more contended scenarios and in sequential performance. In addition we show that CA trees are well suited for optimization with hardware lock elision. In short, we propose a practically useful and easy to implement and show correct concurrent search tree that naturally adapts to the level of contention.
Investment and intellect: a review and meta-analysis.

Cognitive or intellectual investment theories propose that the development of intelligence is partially influenced by personality traits, in particular by so-called investment traits that determine when, where, and how people invest their time and effort in their intellect. This investment, in turn, is thought to contribute to individual differences in cognitive growth and the accumulation of knowledge across the life span. We reviewed the psychological literature and identified 34 trait constructs and corresponding scales that refer to intellectual investment. The dispositional constructs were further classified into 8 related trait categories that span the construct space of intellectual investment. Subsequently, we sought to estimate the association between the identified investment traits and indicators of adult intellect, including measures of crystallized intelligence, academic performance (e.g., grade point average), college entry tests, and acquired knowledge. A meta-analysis of 112 studies with 236 coefficients and an overall sample of 60,097 participants indicated that investment traits were mostly positively associated with adult intellect markers. Meta-analytic coefficients ranged considerably, from 0 to . 58, with an average estimate of . 30. We concluded that investment traits are overall positively related to adult intellect; the strength of investment-intellect associations differs across trait scales and markers of intellect; and investment traits have a diverse, multifaceted nature. The meta-analysis also identified areas of inquiry that are currently lacking in empirical research. Limitations, implications, and future directions are discussed.
Top-Down Heterogeneous Synthesis of Analog and Mixed-Signal Systems

A new approach for automated synthesis of analog and mixed-signal systems is presented. The heterogeneous genetic optimization strategy starts from a functional description and evolves a simple design solution in a strict top-down design process to a complex one that fulfills multiple objectives. Transformations of both architecture and parameters are applied. The expected improvement of the violated objectives is used as driver for the transformation selection. The topology is really created, giving the opportunity to explore new architectures
Eecient Simulation of Formal Processor Models

Computer systems under development are routinely modeled by sim-ulators, and formal veriication can be integrated into conventional computer system development by reasoning directly about such simulators. However, simulators must be extremely fast to be usable in a real development eeort. We have crafted a model for a simple processor in the logic of the ACL2 theorem prover that supports both formal analysis and eecient execution, with performance near that of a simulator written in C. We describe our approach using the simple model and indicate how we are applying it to our latest microprocessor.
Product‐Line Length as a Competitive Tool

The increasing number of consumer goods and services offered in recent years suggests that product-line extensions have become a favored strategy of product managers. A larger assortment, it is often argued, keeps customers loyal and allows firms to charge higher prices. There is disagreement, however, about the extent to which a longer product line translates into higher profits. We develop an econometric model derived from a game-theoretic perspective that explicitly considers firms' use of product-line length as a competitive tool. On the demand side, we analytically establish the link between consumer choice and the length of the product line. Based on our derivations, we include a measure of line length in the utility function to investigate consumer preference for variety using a brand-level discrete-choice model. The supply side is characterized by price and line length competition between oligopolistic firms. For the empirical analysis we use market-level data for the yogurt category. We find that there are decreasing returns to product-line length. Based on a series of "what-if" experiments, we derive recommendations for effective product line decisions in a competitive environment. Copyright Blackwell Publishing 2005.
Spatial Coherence and Seasonal Predictability of Monsoon Onset over Indonesia

Abstract The seasonal potential predictability of monsoon onset during the August–December season over Indonesia is studied through analysis of the spatial coherence of daily station rainfall and gridded pentad precipitation data from 1979 to 2005. The onset date, defined using a local agronomic definition, exhibits a seasonal northwest-to-southeast progression from northern and central Sumatra (late August) to Timor (mid-December). South of the equator, interannual variability of the onset date is shown to consist of a spatially coherent large-scale component, together with local-scale noise. The high spatial coherence of onset is similar to that of the September–December seasonal total, while postonset amounts averaged over 15–90 days and September–December amount residuals from large-scale onset show much less spatial coherence, especially across the main islands of monsoonal Indonesia. The cumulative rainfall anomalies exhibit also their largest amplitudes before or near the onset date. This implies t.
A Constrained Approach to Manual Total Recall

The Catalyst participation in the manual at home Total Recall Track was both limited and quick, a TREC submission of practicality over research. The group’s decision to participate in TREC was made three weeks, and data was not loaded until six days, before the final submission deadline. As a result and to reasonably simulate an expedited document review process, a number of shortcuts were taken in order to accomplish the runs in limited time. Choices about implementation details were due primarily to time constraint and necessity, rather than out of designed scientific hypothesis. We detail these shortcuts, as well as provide a few additional post hoc, non-o cial runs in which we remove some of the shortcuts and constraints. We also explore the e↵ect of di↵erent manual seeding approaches on the recall outcome.
A Genome-Wide Survey of Imprinted Genes in Rice Seeds Reveals Imprinting Primarily Occurs in the Endosperm

Genomic imprinting causes the expression of an allele depending on its parental origin. In plants, most imprinted genes have been identified in Arabidopsis endosperm, a transient structure consumed by the embryo during seed formation. We identified imprinted genes in rice seed where both the endosperm and embryo are present at seed maturity. RNA was extracted from embryos and endosperm of seeds obtained from reciprocal crosses between two subspecies Nipponbare (Japonica rice) and 93-11 (Indica rice). Sequenced reads from cDNA libraries were aligned to their respective parental genomes using single-nucleotide polymorphisms (SNPs). Reads across SNPs enabled derivation of parental expression bias ratios. A continuum of parental expression bias states was observed. Statistical analyses indicated 262 candidate imprinted loci in the endosperm and three in the embryo (168 genic and 97 non-genic). Fifty-six of the 67 loci investigated were confirmed to be imprinted in the seed. Imprinted loci are not clustered in the rice genome as found in mammals. All of these imprinted loci were expressed in the endosperm, and one of these was also imprinted in the embryo, confirming that in both rice and Arabidopsis imprinted expression is primarily confined to the endosperm. Some rice imprinted genes were also expressed in vegetative tissues, indicating that they have additional roles in plant growth. Comparison of candidate imprinted genes found in rice with imprinted candidate loci obtained from genome-wide surveys of imprinted genes in Arabidopsis to date shows a low degree of conservation, suggesting that imprinting has evolved independently in eudicots and monocots.
Time series analysis : the effect of adding an unsupervised layer to NN time series prediction

Let {Yt} be an observed time series where the interval between observations is fixed. We consider models which take a window of length d of the time series so that Ys+d is the response to 〈Ys, Ys+1, . , Ys+d−1〉. We will train the models to predict the next observation in the time series. In order to predict an observation some number of periods f in the future we will predict the next observation and iterate the predictor. The method of stochastic sampling may be also used [1] but we will not consider it here.
An improved Ambiguity+ anonymization technique with enhanced data utility

The main problem in releasing sensitive data to public networks and domains is how to publish data while protecting privacy and permitting useful analysis. This problem is known as privacy-preserving data publishing. In the well-known (α,β)-privacy model, only two types of risks are considered: presence leakage (membership disclosure) by which adversaries may explicitly identify individuals in (or not in) the published dataset, and association leakage (attribute disclosure) by which they may unambiguously correlate individuals to their sensitive information. Ambiguity is an anonymization technique for this privacy model that publishes attributes of tuples in separate tables. The lossy join of these table produce false tuples which inject uncertainty. In this paper, we improve this anonymization technique (Ambiguity+) that publish the frequency of each distinct value in order to preserve better data utility based on the (α,β)-privacy model. Experimental results demonstrate that our work preserves data utility at a satisfactory level and also information loss is considerably decreased.