Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustering for Information Retrieval System Using Supplementary Information

Text clustering extends over wide range of applications from information retrieval system, pattern recognition, search engines to social networks, and other digital collections. Text data involved in such applications usually have ample of unused data associated with them. The paper focuses on handling this unused data, referred as supplementary information, to generate effective clusters. The supplementary information may include document provenance information, links in a document, index terms used within a document or any other data that is not generally used for clustering. In this paper, we perform document clustering using supplementary information along with the content for generating clusters with higher purity. We also identify the use of such supplementary information for clustering in applications involving other file types like audio, image, video, etc. The clustering performance may degrade if the supplementary information associated with pure content is noisy. Taking this into consideration, we use partitioningbased clustering algorithm and a probabilistic model. We present experimental result to justify the approach. Key WordsClustering, Information Retrieval System, partition-based clustering algorithm, Probabilistic model, Supplementary information, Similarity measure
Preparing Educators for Leadership: In Praise of Experience1

"The more things change, the more they stay the same? ' One is often tempted to invoke this bit of conventional wisdom whenever arguments are advanced for educational reform of one type or another. Yet we are currently in the midst of one of the more sustained change efforts of the twentieth century, an effort that has begun to shake up conceptions (and, here and there, actual practices) of traditional leadership and decision-making roles in the way districts and schools are organized. Arguments long advocated for substantially increasing the responsi­ bility of teachers for leadership activities beyond their classrooms (Bentzen, 1974; Goodlad, 1975; Sarason, 1971 ; Schaeffer, 1967) are finally being acknowledged to at least limited extents in the current experiments with devolution of authority, site-based decision making,
Bioinformatic analysis of cis-regulatory interactions between progesterone and estrogen receptors in breast cancer

Chromatin factors interact with each other in a cell and sequence-specific manner in order to regulate transcription and a wealth of publically available datasets exists describing the genomic locations of these interactions. Our recently published BiSA (Binding Sites Analyser) database contains transcription factor binding locations and epigenetic modifications collected from published studies and provides tools to analyse stored and imported data. Using BiSA we investigated the overlapping cis-regulatory role of estrogen receptor alpha (ERα) and progesterone receptor (PR) in the T-47D breast cancer cell line. We found that ERα binding sites overlap with a subset of PR binding sites. To investigate further, we re-analysed raw data to remove any biases introduced by the use of distinct tools in the original publications. We identified 22,152 PR and 18,560 ERα binding sites (<5% false discovery rate) with 4,358 overlapping regions among the two datasets. BiSA statistical analysis revealed a non-significant overall overlap correlation between the two factors, suggesting that ERα and PR are not partner factors and do not require each other for binding to occur. However, Monte Carlo simulation by Binary Interval Search (BITS), Relevant Distance, Absolute Distance, Jaccard and Projection tests by Genometricorr revealed a statistically significant spatial correlation of binding regions on chromosome between the two factors. Motif analysis revealed that the shared binding regions were enriched with binding motifs for ERα, PR and a number of other transcription and pioneer factors. Some of these factors are known to co-locate with ERα and PR binding. Therefore spatially close proximity of ERα binding sites with PR binding sites suggests that ERα and PR, in general function independently at the molecular level, but that their activities converge on a specific subset of transcriptional targets.
Planning trajectories for dexterous in-hand micro-manipulation using adhesion forces

Micro-manipulation and micro-assembly techniques play today a key role in the development of new integrated smart systems that can find applications in strategic fields such as transport, telecommunication, health and defense. However, the existing micro-handling solutions lack of speed, flexibility and autonomy which represents an obstacle to the development of these technologies. Our approach consist in developing local micro-manipulation techniques using dexterous micro-hands. This paper focuses on the trajectory generation of a dexterous micro-hand to achieve automated repositioning and shows major differences between macro-hand and micro-hand. The first simulation results show that original trajectories using adhesion forces can be generated. Moreover, these kind of trajectories can be generated in about a second.
Horizontal dispersion of near-inertial oscillations in a turbulent mesoscale eddy field

We study the dispersion of wind-induced near-inertial oscillations (NIOs) in a fully turbulent baroclinic mesoscale eddy e eld characterized by a continuous wavenumber spectrum. The ine uence of the eddy e eld on the horizontal dispersion of the different NIO modes is analyzed using a vertical normal mode expansion. Previous studies have identie ed two dispersion regimes: trapping and strong dispersion. We examine the modes in physical and spectral space to assess which regime prevails. Numerical and analytical results show the prevalence of a trapping regime. For each NIO mode, there exists a critical horizontal wavenumber, k c, that separates large-scale NIO structures, where trapping dominates, from the much less energetic small-scale NIO structures, where strong dispersion dominates. The maximum efe ciency of dispersion for scales close to k c concentrates NIO kinetic energy at these scales. The wavenumber k c results from a balance between refraction and dispersion. This balance e rst occurs at the highest wavenumber. Thereafter, kc, which has dimensional expression kc 2 5 p/( ftRm 2 ), decreases with time at a rate inversely proportional to the radius of deformation, Rm, of the baroclinic NIO mode considered. As a consequence, at any given time, higher NIO baroclinic mode energy can mostly be found in small-scale negative vorticity structures, such as e laments near sharp vorticity fronts, whereas lower NIO mode energy is concentrated within the core of mesoscale anticyclonic vortices. For large times, a saturation mechanism stops the time-evolution of k c at a value close to the peak of the kinetic energy spectrum of the QG e ow e eld.
CT imaging of myocardial viability: experimental and clinical evidence

Summary Summary Over the last decade, imaging of myocardial viability has become a well-established indication in patients suffering from myocardial infarction. Myocardial viability imaging is routinely performed using 18F-fluorodeoxyglucose positron emission tomography, single-photon emission computed tomography or magnetic resonance imaging. Only recently have several multi-slice spiral computed tomography (MSCT) techniques been evaluated for visualisation of myocardial infarction. This review describes the different concepts of MSCT viability imaging. MSCT assessment of myocardial morphology, myocardial perfusion imaging and delayed myocardial contrast enhancement are introduced, with the latter evolving as the key concept of MSCT viability imaging. Clinical relevance of the different MSCT techniques is described.
Fooling Myself or Fooling Observers? Avoiding Social Pressures by Manipulating Perceptions of Deservingness of Others

We present a novel experiment demonstrating strategies selfish individuals utilize to avoid social pressure to be altruistic. Subjects participate in a trust game, after which they have an opportunity to state their beliefs about their opponent's actions. Subsequently, subjects participate in a task designed to &#8220;reveal&#8221; their true beliefs. Subjects who initially made selfish choices falsely state their beliefs about their opponent's kindness. Their &#8220;revealed&#8221; beliefs were significantly more accurate, which exposed subjects' knowledge that their selfishness was unjustifiable by their opponent's behavior. The initial false statements complied with social norms, suggesting subjects' attempts to project a more favorable social image.
The relationship study of social capital, knowledge management and performance in logistics enterprises based on SEM

Knowledge management as an intermediary force to study the relationship of social capital, knowledge management and performance in logistics companies. Construct theoretical model and select 157 samples for an empirical study. Structural equation analysis showed that cognitive and relational social capital have no significant positive impact on knowledge creation, and knowledge sharing has no significant positive impact on firm performance, then others have significant positive impact. Overall, knowledge management plays an intermediary role between social capital and performance.
How to Build a Credible Mesoscopic Theory

Electron transport in metallic systems is governed by four key principles of Fermi-liquid physics: (i) degeneracy, (ii) charge conservation, (iii) screening of the Coulomb potential, and (iv) scattering. They determine the character of metallic conduction and noise at mesoscopic scales, both near equilibrium and far from it. Their interplay is described by kinetic theory, the serious method of choice for characterizing such phenomena. We review microscopic kinetics for mesoscopic noise, and in particular its natural incorporation of the physics of Fermi liquids. Kinetic theory provides a strictly conservative, highly detailed description of current fluctuations in quantum point contacts. It leads to some surprising noise predictions. These show the power of a model that respects the microscopic conservation laws. Models that fail in this respect are incorrect.
On Performance Evaluation of Web GIS Applications

Geographical information systems (GIS) deal with large volume of datasets. Hence, one of the main concerns on Web GIS is related to performance issues, as these datasets need to migrate, as fast as possible, from server to client tiers. Therefore, in order to maximize performance on Web GIS it is necessary to apply optimization techniques. This paper discusses some of these optimization techniques and evaluates them in a Web GIS with a real application. The results obtained demonstrate how each of the optimization techniques used could help on improving the overall performance
Experiences integrating and scaling a performance test bed generator with an open source CASE tool

We report on our experiences developing a performance test-bed generator for industrial usage by extending an open-source UML CASE tool. This tool generates client and server code, database configuration and deployment scripts from a high-level software architecture description. It automates the code generation, compilation, deployment and performance metric result collection processes. We identify a range of problems that arose from our previous research on performance test-bed generation that needed to be addressed to scale this automated software engineering technique. We describe a range of approaches we used to solve these problems in our new tool. We then report on industrial deployment and evaluation of our new tool and discuss the effectiveness of these solutions
Nonnegative matrix factorization with regularization and sparsity-enforcing terms

The aim of this paper is to present several multiplicative algorithms for nonnegative matrix factorization. We show how to obtain such algorithms in the case where non-negativity and flux conservation constraints are imposed, and how to regularize such problems by introducing smoothness or sparsity properties. Application to hyperspectral imagery is finally considered.
Selective Depression by General Anesthetics of Glutamate Versus GABA Release from Isolated Cortical Nerve Terminals

The role of presynaptic mechanisms in general anesthetic depression of excitatory glutamatergic neurotransmission and facilitation of GABA-mediated inhibitory neurotransmission is unclear. A dual isotope method allowed simultaneous comparisons of the effects of a representative volatile (isoflurane) and intravenous (propofol) anesthetic on the release of glutamate and GABA from isolated rat cerebrocortical nerve terminals (synaptosomes). Synaptosomes were prelabeled with l-[3H]glutamate and [14C]GABA, and release was determined by superfusion with pulses of 30 mM K+ or 1 mM 4-aminopyridine (4AP) in the absence or presence of 1.9 mM free Ca2+. Isoflurane maximally inhibited Ca2+-dependent 4AP-evokedl-[3H]glutamate release (99 ± 8% inhibition) to a greater extent than [14C]GABA release (74 ± 6% inhibition; P = 0.023). Greater inhibition of l-[3H]glutamate versus [14C]GABA release was also observed for the Na+ channel antagonists tetrodotoxin (99 ± 4 versus 63 ± 5% inhibition; P < 0.001) and riluzole (84 ± 5 versus 52 ± 12% inhibition; P= 0.041). Propofol did not differ in its maximum inhibition of Ca2+-dependent 4AP-evokedl-[3H]glutamate release (76 ± 12% inhibition) compared with [14C]GABA (84 ± 31% inhibition; P = 0.99) release. Neither isoflurane (1 mM) nor propofol (15 μM) affected K+-evoked release, consistent with a molecular target upstream of the synaptic vesicle exocytotic machinery or voltage-gated Ca2+ channels coupled to transmitter release. These findings support selective presynaptic depression of excitatory versus inhibitory neurotransmission by clinical concentrations of isoflurane, probably as a result of Na+ channel blockade.
Window-Dominant Signal Subspace Methods for Multiple Short-Term Speech Source Localization

Signal subspace has been widely exploited to localize multiple speech sources. However, most signal subspace methods cannot count the number of sources, and do not make use of speech sparsity in the frequency domain. This paper presents a grid search window-dominant signal subspace (GS-WDSS) method and a closed-form WDSS (CF-WDSS) method to localize short-term speech sources. Such methods are based upon the generalized sparsity assumption that each window containing some time-adjacent bins is dominated by one source, as opposed to the conventional assumption that each individual bin is dominated by one source. The generalized assumption enables the principal eigenvector of the spatial correlation matrix on each window to span the signal subspace of the window-dominant source. The direction-of-arrival (DOA) of the dominant source is estimated from the principal eigenvector. The DOAs and the number of sources are eventually summarized from the DOA histogram of all dominant sources. The conventional assumption is a special case of the generalized assumption. By using the generalized assumption, the performance in estimating DOAs of the window-dominant sources is significantly improved at the cost of acceptable masking effect. The superiority of the proposed methods is verified by simulated and real experiments.
Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm

The level of Kluane Lake, the largest lake in Yukon Territory, was lower than at present during most of the Holocene. The lake rose rapidly in the late seventeenth century to a level 12 m above present, drowning forest and stranding driftwood on a conspicuous high-stand beach, remnants of which are preserved at the south end of the lake. Kluane Lake fell back to near its present level by the end of the eighteenth century and has fluctuated within a range of about 3 m over the last 50 yr. The primary control on historic fluctuations in lake level is the discharge of Slims River, the largest source of water to the lake. We use tree ring and radiocarbon ages, stratigraphy and sub-bottom acoustic data to evaluate two explanations for the dramatic changes in the level of Kluane Lake. Our data support the hypothesis of Hugh Bostock, who suggested in 1969 that the maximum Little Ice Age advance of Kaskawulsh Glacier deposited large amounts of sediment in the Slims River valley and established the present course of Slims River into Kluane Lake. Bostock argued that these events caused the lake to rise and eventually overflow to the north. The overflowing waters incised the Duke River fan at the north end of Kluane Lake and lowered the lake to its present level. This study highlights the potentially dramatic impacts of climate change on regional hydrology during the Little Ice Age in glacierised mountains.
Physical Design of Network Model Databases Using the Property of Separability

A physical design methodology for network model databases is dcvclopcd using the theory of separability. In particular, a large subset of practically important access structures provided by network model database systems is shown to have tic property of separability under the usage specification schcmc proposed. The theory of separability was introduced in an carlicr work, in the context of relational systems, as a formal basis for partitioning the problem of designing the optimal physical database. The theory proves that, given a certain set of access structures and a usage spccitication scheme, the problem of optimal assignment of access structures to the cntirc database can be reduced to the subproblem of optimizing individual record types indcpcndcntly of one another. The approach prcscntcd significantly rcduccs the complexity of the design problem which has the potential of being combinatorially explosive.
Single-Channel and Structural Foundations of Neuronal α7 Acetylcholine Receptor Potentiation

Potentiation of neuronal nicotinic acetylcholine receptors by exogenous ligands is a promising strategy for treatment of neurological disorders including Alzheimer's disease and schizophrenia. To gain insight into molecular mechanisms underlying potentiation, we examined ACh-induced single-channel currents through the human neuronal α7 acetylcholine receptor in the presence of the α7-specific potentiator PNU-120596 (PNU). Compared to the unusually brief single-channel opening episodes elicited by agonist alone, channel opening episodes in the presence of agonist and PNU are dramatically prolonged. Dwell time analysis reveals that PNU introduces two novel components into open time histograms, indicating at least two degrees of PNU-induced potentiation. Openings of the longest potentiated class coalesce into clusters whose frequency and duration change over a narrow range of PNU concentration. At PNU concentrations approaching saturation, these clusters last up to several minutes, prolonging the submillisecond α7 opening episodes by several orders of magnitude. Mutations known to reduce PNU potentiation at the whole-cell level still give rise to multisecond-long single-channel clusters. However mutation of five residues lining a cavity within each subunit's transmembrane domain abolishes PNU potentiation, defining minimal structural determinants of PNU potentiation.
A Study of Coordinated Checkpointing in Mobile Environment

Mobile networks have become immensely popular. There are a few limitations in case of such networks like battery backup nodes being mobile and lack of fixed infrastructure. Checkpointing is essential because it takes care of fault tolerane and system performance in case of mobility of nodes. Uncoordinated checkpointing is when any process can take a checkpoint independent of other processes. In case of coordinated checkpoint synchronization between processes helps in assumimg a global checkpoint. The overheads in this case need to be taken care of . The various measures for the same are reducing the number of synchronizing processes and piggybacking. In this paper, we have analyzed various coordinated checkpointing algorithms and found that minimum process algorithm is more suitable than others because it reduces the overheads of storing checkpoints as no useless checkpoints are created and not all processes are blocked.
Implementation of high-frequency high-voltage power supply for ozone generator system using embedded controller

This paper presents the simulation and experimental results of a high-voltage parallel resonant inverter which is used as a power supply for Ozonator. High-frequency, high-voltage AC supply is needed for a ozone generating system. Corona discharge method is used for generating ozone due to its high efficiency and production of higher quantities of ozone. A efficient parallel resonant inverter with soft switching is the better choice as a power supply for a Ozonator which is substantiated with the help of experimental results presented in the paper.
Frequency of communication about adolescents’ strengths and weaknesses and the parent–adolescent relationship

Abstract Despite prior research indicating that parents and adolescents perceive conversations about the adolescent’s strengths and weaknesses to be important, information about these conversations and how they are related to other facets of the parent-adolescent relationship is limited. In a sample of 171 parent-adolescent dyads (adolescents were 14-17 years old), we conducted an initial exploratory study on the frequencies of parent-adolescent discussions about strengths and weaknesses. Within-dyad reports were correlated; however, parents reported higher frequencies of strengths-based communication and lower frequencies of weakness-based communication than adolescents. We also found differences in frequencies of weakness-based communication by socio-demographic variables. Spearman’s rank correlations and mixed-effects regression models suggested that the frequency of communication about strengths, but not the frequency of weaknesses, was associated with parent-adolescent general communication, adolescent disclosure, and relationship quality. These results help shed much needed light on an understudied topic of importance to adolescents and parents.
Automated cost function formulation for analog design optimization

In this article, we present a new method to improve analog design automation and design reuse. A top-down constraint driven methodology is applied to design complex analog system. This approach formulates the design problem as a multi objective optimization problem (MOOP). As the knowledge needed to build an optimization problem dedicated to an analog circuit is still out of reach of designers, our approach propose a new efficient way to capture design performance metrics allowing an automatic optimization problem formulation. Based only on performance specifications (e.g., gain of 80 dB) and preferences of the designers (i.e, maximize or minimize a given performance metric), a multi objective optimisation problem (MOOP) is built. An example using hybrid algorithm consisting in coupling a pattern search based algorithm and a conjugate gradient based one to solve the MOOP for a CMOS two stage opamp is given.