Miracle-dz/UniFAR-FTUs huggingface dataset:
Scheduling algorithms for input-queued switches: randomized techniques and experimental evaluation

A basic problem faced by designers of high-bandwidth switches and routers is to provide effective techniques for scheduling the routing of cells through crossbars. The problem is particularly important under heavy loads or when quality-of-service (QoS) is to be supported. Much previous work on scheduling has focused on maximum bipartite matching (MBM), maximum weight bipartite matching (MWBM), and heuristics to approximate MBM and MWBM solutions. In this paper, we introduce the shakeup technique: a randomized approach that can be used in conjunction with a number of existing heuristics to substantially improve solution quality. The shakeup approach is conceptually simple and is supported by both theoretical and experimental results. In addition, this paper provides for the first time a framework for experimental scheduler analysis. We give extensive head-to-head comparisons of stability ranges for a number of previously proposed schedulers, and work towards the development of benchmark traffic types.
Towards Building Ranking Models with Annual Reports

AbstrAct: The textual content of company annual reports has proven to contain predictive indicators for the company fu­ ture performance. This paper addresses the general re search question of evaluating the effectiveness of applying machine learning and text mining techniques to building predictive mod­ els with annual reports. More specifically, we focus on these two questions: 1) the feasibility of build ing ranking models with annual reports to rank future firm performance and 2) the ef­ fect of integrating meta seman tic features to help improve and support our prediction. We compare models built with different ranking algorithms and document models. We evaluate our models with a simulated portfolio. Our results show significantly positive average returns over 5 years with a power law trend as we increase the ranking threshold. Adding meta features to document model has shown to improve ranking performance. The SVR & Meta­augemented model outperforms the others and pro vides potential for explaining the textual factors behind the prediction.
Using interactive visualizations of WWW log data to characterize access patterns and inform site design

HTTP server log files provide Web site operators with substantial detail regarding the visitors to their sites. Interest in interpreting this data has spawned an active market for software packages that summarize and analyze this data, providing histograms, pie graphs, and other charts summarizing usage patterns. While useful, these summaries obscure useful information and restrict users to passive interpretation of static displays. Interactive visualizations can be used to provide users with greater abilities to interpret and explore web log data. By combining two-dimensional displays of thousands of individual access requests, color and size coding for additional attributes, and facilities for zooming and filtering, these visualizations provide capabilities for examining data that exceed those of traditional web log analysis tools. We introduce a series of interactive visualizations that can be used to explore server data across various dimensions. Sample visualizations of server data from two web sites are presented. Coordinated, snap-together visualizations (STVs) of log data are introduced as a means of gaining additional expressive power. Possible uses of these visualizations are discussed, and difficulties of data collection, presentation, and interpretation are explored.
Human Interface Design Method Based on the Estimation of Muscle Effort by a Musculoskeletal Model

Human's skeletal muscles have sensory systems. Human-machine interfaces that consider muscle effort should improve the usability and manipulability of daily products. This paper presents an interface design method that considers muscle effort and illustrates possible applications. A three-dimensional musculoskeletal model is developed based on the upper extremity model with 29 muscles and 16 joints. Muscle activity is estimated by using the OpenSim. We define the muscle effort as the mean of each muscle activity, and the muscle effort is used to determine the physical design or the physical response of the human interface. We applied the proposed physical design modification method to the design of the key height of a keyboard. The key height is changed proportional to the normalized muscle effort. The estimated muscle effort suggests that users can type every keys of the modified keyboard with a similar muscle effort. We also explore to improve the manipulation feeling of the key touching of mobile devices by changing the feedback response according to the estimated muscle effort when users touch keys. The experimental results indicate that the manipulation feeling can be improved by changing the feedback response according to the muscle effort.
From SRAFAP to ARCA and AIDA – developments and implementation of automated aqueous-phase rapid chemistry apparatuses for heavy actinides and transactinides

Abstract The development of automated rapid chemistry techniques and their application for batch-wise, chromatographic separations of heavy elements in the liquid-phase are outlined. Starting in the mid-1970s with manually performed separations using pressurized liquid-chromatography techniques, this development led to the first version of the Automated Rapid Chemistry Apparatus, ARCA, in the early 1980s. After a breakthrough to a much higher level of automation and miniaturization, the new apparatus ARCA II was built in the late 1980s. Based on it, the Automated Ion-exchange separation apparatus coupled with the Detection system for Alpha spectroscopy, AIDA, became operational in the late 1990s. In the context of technical and technological advancements, this article discusses the successful application of these instruments for (i) the search for superheavy elements, (ii) cross section measurements of actinide elements produced in multi-nucleon transfer reactions with actinide targets, (iii) chemical separation and characterization of the heavy actinides mendelevium, Md, and lawrencium, Lr, and (iv) studies of the transactinide elements rutherfordium, Rf, dubnium, Db, and seaborgium, Sg. Details of the separations are outlined together with the big advancements made over time and the limitations reached. For the transactinide elements, examples are given for their observed chemical behavior; often affected by an interplay between hydrolysis and complex formation. Influenced by relativistic effects, chemical properties of these elements sometimes deviated from those of their lighter homologs in the Periodic Table.
Lower bounds for quantum communication complexity

We prove new lower bounds for bounded error quantum communication complexity. Our methods are based on the Fourier transform of the considered functions. First we generalize a method for proving classical communication complexity lower bounds developed by R. Raz (1995) to the quantum case. Applying this method we give an exponential separation between bounded error quantum communication complexity and nondeterministic quantum communication complexity. We develop several other Fourier based lower bound methods, notably showing that /spl radic/(s~(f)/log n) n, for the average sensitivity s~(f) of a function f, yields a lower bound on the bounded error quantum communication complexity of f (x/spl and/y/spl oplus/yz), where x is a Boolean word held by Alice and y, z are Boolean words held by Bob. We then prove the first large lower bounds on the bounded error quantum communication complexity of functions, for which a polynomial quantum speedup is possible. For all the functions we investigate, only the previously applied general lower bound method based on discrepancy yields bounds that are O(log n).
An Efficient Search Method over an Encrypted Cloud Data

Cloud data owners used to transfer data in an encrypted form for the purpose of privacy preserving. Therefore it is important to develop efficient & reliable cipher text search techniques. In encryption technique, the relation between the data is hidden, which make them to perform deterioration. In earlier days it was not possible to upload the encrypted data on the cloud. Now a days the number of internet users are increasing & day by day the number of data is also increasing. According to the growth of increasing number of data it is important to provide security to the cloud data. For providing security to the data on the cloud, it should be first converted into encrypted form before transferring it & it can be regain effectively. Along with this more additional features can also be provided with the search techniques like dynamic update operations. In this paper a hierarchical clustering method is used to support more search methods & also to complete the demand for fast cipher text search method for big data environments. For the huge number of users & the data in the cloud, it is important for the search method to include multi keyword query for arranging the comparison of ranking for the proper need of data regain search and not regularly famed the search results. In this system, the interesting problem of privacy preserving multi keywords ranked search over encrypted cloud data can be explain and solve. And also used to create strict privacy for safe cloud data application so that the system should be effected in real world.
Robust H∞ control of distributed delay systems with application to combustion control

The article is concerned with the H/sub /spl infin// analysis and synthesis of linear distributed delay systems. An efficient stability and L/sub 2/-gain criterion is established. It is based on a recent approach to the analysis and design of linear time delay systems which represents the system in an equivalent descriptor form. The obtained criterion is used to derive an efficient state-feedback control design which stabilizes the distributed delay system and achieves a guaranteed disturbance attenuation level in spite of a polytopic uncertainty in the system parameters. The new method is applied to the robust stabilization and control of combustion in rocket motor chambers.
Stability of outcome in a comprehensive, cognitive therapy based treatment programme for long-term mentally ill patients. A 2-year follow-up study

A total of 21 long-term mentally ill patients, from an original sample of 28, were assessed with regard to quality of life, symptomatology, global functioning and target complaints at 6 and 24 months after discharge from a comprehensive in-patient treatment programme based on cognitive therapy. A subgroup of people with a diagnosis of schizophrenia was compared with a matched control group receiving conventional rehabilitation, with regard to living situation, work situation and use of inpatient psychiatric care 2 years before and 2 years after treatment. The results showed improvement for the patients in the treatment group in four out of five outcome measures between admission and the 2-year follow-up. The investigation of differences in outcome between the patients in the treatment group and the control group showed a marked reduction in the use of in-patient psychiatric care for the patients receiving comprehensive cognitive therapy based treatment during the 2 years after treatment. Furthermore, they also had a significantly higher degree of independent living at the 2-year follow-up.
Using explosions to power a soft robot.

grasping and walking. Despite their advantages(simplicity of fabrication, actuation, and control; low cost;light weight), pneu-nets have the disadvantage that actuationusing them is slow, in part because the viscosity of air limitsthe rate at which the gas can be delivered through tubes to filland expand the microchannels. Herein, we demonstrate therapid actuation of pneu-nets using a chemical reaction (thecombustion of methane) to generate explosive bursts ofpressure.Althoughthecombustionofhydrocarbonsisubiquitousinthe actuation of hard systems (e.g., in the metal cylinder ofa diesel or spark-ignited engine
An Enhanced Prediction Technique for Missing Itemset in Shopping Cart

The goal of frequent pattern mining is to determine the frequently occurring group of items in the databases. Here the major contributing task is expediting the frequent itemset by proposing a technique that uses the minimal data available in the shopping cart for the prediction of what other items the customer can get the choice to buy. Several algorithms have been implemented to detect the frequently co occurring group of items in the transactional databases for prediction purposes. This paper introduces a new technique whose principal diagonal elements represent the association among items and looking to the principal diagonal elements, the customer can select what else the other items can be purchased with the current contents of the shopping cart and also reduces the rule mining cost. Keywords—Association rule mining, Data mining, Frequent itemset mining, Prediction.
Genetic variations in the sheep SIRT7 gene and their correlation with body size traits

Abstract As a nicotinamide adenine dinucleotide (NAD)-dependent histone deacetylase and ADP ribosyl transferase, the silent information regulator 7 (Sirtuin 7, SIRT7) plays a crucial role in regulating the differentiation of adipocytes and myoblasts, lipid metabolism, glucose metabolism, and cellular growth in mammals. It has been hypothesized that SIRT7 affects growth traits in animals; therefore, in this study, the potential insertion/deletion (indel) of genetic variations within the ovine SIRT7 gene and their correlation with sheep growth traits were explored. A total of 709 individuals from five Chinese and Mongolian sheep breeds were analyzed. Two novel indel loci of the sheep SIRT7 gene were detected and were named 5′ promoter region-insertion-7 bp (5′ promoter region-7 bp) and 3′ UTR-insertion-17 bp (3′ UTR-17 bp), respectively. In all of the sheep breeds, frequencies of the 5′ promoter region-7 bp mutation were low, whereas mutations of 3′ UTR-17 bp were high in Tong sheep and Lanzhou fat-tail sheep (LFTS). Furthermore, both indel polymorphisms had significant associations with different growth characteristics (P<0.05). Among these associations, the 3′ UTR-17 bp was highly correlated with rump width in small-tail Han sheep (STHS, rams; P<0.01), and individuals with the ID genotype had better chest depth values than those with the II genotype. In this paper, two novel indels within the sheep SIRT7 gene were identified, and genetic diversity and its effects on body size traits were explored. These findings will potentially provide useful DNA markers for the improvement of economic traits in sheep genetic breeding.
Planar Waveguide Arrays for Millimeter Wave Systems

Design of high gain and high efficiency antennas is one of the key challenges in antenna engineering and especially in millimeter wave communication systems. Various types of planar waveguide arrays with series-fed traveling wave operation have been developed in Tokyo Tech with the special focus upon efficiency enhancement as well as reduction of fabrication cost. In this review, four kinds of single layer waveguide arrays characterized with the series fed travelling wave operation are surveyed first. To cope with the bandwidth narrowing effects due to long line effects associated with the series fed operation, authors have introduced partially corporate feed embedded in the single layer waveguide. They further extended the study to cover fully corporate feed arrays with multiple layer waveguide as well; a new fabrication technique of diffusion bonding of laminated thin plates has the potential to realize the low cost mass production of multi-layer structures for the millimeter wave application. Secondly, the novel methods for loss evaluation of copper plate substrate are established for the design of post-wall waveguide arrays where dielectric loss and conductor loss is determined in wide range of millimeter wave band, by using the Whispering gallery mode resonator. This enables us to design the planar arrays with the loss taken into account. Finally, the planar arrays are now applied to two kinds of systems in the Tokyo Tech millimeter wave project; the indoor short range file-transfer systems and the outdoor communication systems for the medium range backhaul links. The latter has been field-tested in the model network built in Tokyo Tech Ookayama campus. Early stage progress of the project including unique propagation data is also reported.
A fitting formula for the non-Gaussian contribution to the lensing power spectrum covariance

Context. Weak gravitational lensing is one of the most promising tools to investigate the equation-of-state of dark energy. In order to obtain reliable parameter estimations for current and future experiments, a good theoretical understanding of dark matter clustering is essential. Of particular interest is the statistical precision to which weak lensing observables, such as cosmic shear correlation functions, can be determined. Aims. We construct a fitting formula for the non-Gaussian part of the covariance of the lensing power spectrum. The Gaussian contribution to the covariance, which is proportional to the lensing power spectrum squared, and optionally shape noise can be included easily by adding their contributions. Methods. Starting from a canonical estimator for the dimensionless lensing power spectrum, we model first the covariance in the halo model approach including all four halo terms for one fiducial cosmology and then fit two polynomials to the expression found. On large scales, we use a first-order polynomial in the wave-numbers and dimensionless power spectra that goes asymptotically towards 1.1 Cp t for l → 0, i.e., the result for the non-Gaussian part of the covariance using tree-level perturbation theory. On the other hand, for small scales we employ a second-order polynomial in the dimensionless power spectra for the fit. Results. We obtain a fitting formula for the non-Gaussian contribution of the convergence power spectrum covariance that is accurate to 10% for the off-diagonal elements, and to 5% for the diagonal elements, in the range 50 ≲ l ≲ 5000 and can be used for single source redshifts Z s ∈ [0.5, 2.0] in WMAP5-like cosmologies.
The 1998 Minnesota Legislation for the Prevention of Fetal Alcohol Syndrome: A Policy Analysis

The 1998 Minnesota Legislation for the Prevention of Fetal Alcohol Syndrome A Policy Analysis Mary Arfmann June, 2001 This study is an analysis of the 1998 prevention legislation in Minnesota. Interview questions were sent to the identified authors of the legislation, opponents, and selected county social service agencies. The policy framework authored by Karger and Stoesz (1998) was used to construct the interview questions. The questions were used gather the data needed for the analysis. The findings from the analysis suggested that there was overall support for the concept of prevention efforts but there was confusion, misunderstandings, and lack of consistent and uniform training and implementation of the legislation at the time of data collection. Evidence from this study also indicated that barriers existed within the law which was a cause for confusion about how the legislation could be implemented.
Multiscale Locality and Rank Preservation for Robust Feature Matching of Remote Sensing Images

As a fundamental and important task in many applications of remote sensing and photogrammetry, feature matching tries to seek correspondences between the two feature sets extracted from an image pair of the same object or scene. This paper focuses on eliminating mismatches from a set of putative feature correspondences constructed according to the similarity of existing well-designed feature descriptors. Considering the stable local topological relationship of the potential true correspondences, we propose a simple yet efficient method named multiscale Top $K$ Rank Preservation (mTopKRP) for robust feature matching. To this end, we first search the $K$ -nearest neighbors of each feature point and generate a ranking list accordingly. Then we design a metric based on the weighted Spearman’s footrule distance to describe the similarity of two ranking lists specifically for the matching problem. We build a mathematical optimization model and derive its closed-form solution, enabling our method to establish reliable correspondences in linearithmic time complexity, which requires only tens of milliseconds to handle over 1000 putative matches. We also introduce a multiscale strategy for neighborhood construction, which increases the robustness of our method and can deal with different types of degradation, even when the image pair suffers from a large scale change, rotation, nonrigid deformation, or a large number of mismatches. Extensive experiments on several representative remote sensing image data sets demonstrate the superiority of our method over state of the art.
Microblog Retrieval Using Topical Features and Query Expansion

Retrieving information from Twitter is always challenging given its volume, inconsistent writing and noise. Existing systems focus on term-based approach, but important topical features such as person, proper noun and events are often neglected, leading to less satisfactory results while searching information from tweets. This paper propose a novelty feature extraction algorithm which targets the above problems, and present the experiment results using TREC11 dataset. The proposed approach considers both term-based and patternbased features and distribute weights accordingly. We experiment four different setting to evaluate different combinations and results show that our approach outperformed traditional method of using term-based or pattern only methods and signify the importance of topical features in microblog retrieval.
Differential D 1 Dephosphorylation in Functional and Photodamaged Photosystem II Centers DEPHOSPHORYLATION IS A PREREQUISITE FOR DEGRADATION OF DAMAGED D 1 *

Light dependence and kinetics of reversible phosphorylation of the D1 reaction center protein of Photosystem II was studied in pumpkin leaves. At growth light, maximal phosphorylation of D1 was observed after illumination of 1 h, with higher phosphorylation rates at stronger irradiances. 70–85% of D1 became phosphorylated, corresponding to the proportion of the protein in appressed thylakoid membranes. Comparison of the kinetics of D1 phosphorylation and photoinactivation of Photosystem II revealed that D1 phosphorylation became saturated before any significant photoinhibition of Photosystem II could be detected. Dephosphorylation of D1 in both dim light and darkness was determined in leaves preilluminated with high light for various periods. Similar rates of D1 dephosphorylation were observed after short preillumination conditions that induce no significant loss of functional Photosystem II centers. In contrast, photodamage to Photosystem II centers significantly decreased the dephosphorylation rate of D1 in darkness, and no dephosphorylation occurred in leaves containing mainly damaged Photosystem II centers. Darkness also blocked the degradation of damaged D1 after photoinhibitory preillumination. Degradation of damagedD1 could be prevented even in dim light by sodium fluoride, an inhibitor of protein phosphatases, indicating that dephosphorylation is a prerequisite for D1 proteolysis. We conclude that in higher plants (i) high light induced photodamage to Photosystem II occurs in the centers containing phosphorylated D1. (ii) Dephosphorylation of phosphorylated and photodamaged D1 is associated with the repair cycle of inactivated Photosystem II and is a light-dependent reaction in vivo. (iii) Dephosphorylation of D1 in functional Photosystem II centers, however, occurs rapidly and independent of light. We suggest that two reversible phosphorylation cycles with spatially segregated protein phosphatases are involved in dephosphorylation of functional and damaged phosphorylated D1, respectively.