Miracle-dz/UniFAR-FTUs huggingface dataset:
Information Management and Platform Refinement for Big Data

Information management and related applications are being vigorously researched and developed. According to IDC research reports, the global market for information management is forecasted to grow by 30 percent annually (from a value of 8 billion US dollars in 2012, to a forecasted 24 billion US dollar value in 2016). Both reports explicitly identify the significant growth in the importance of information management and related services in the future. This paper will discuss and analyze our development in topic-specific applications, namely the collection, access, and enrichment of massive data. Through the development of adaptive file access technology and the combination of distributed storage (i.e. Hive, HBase, etc.) with In-Memory algorithmic technologies, we will be able to have the system adjust data storage policies and increase efficiency through the identification of data types and some algorithmic properties. Based on the virtual machine migration technology, we utilize the mass data processing workload to dynamically migrate the virtual computing node. This can automatically adjust virtual resources to achieve outstanding calculation and localization of data through parallel execution of multiple mass data management processes, and maximize massive data processing efficiency. In the future we plan to progressively seek potential clients and partners, from which we will tailor a variety of field tests according to our clients' needs. And through this process, is where we will gradually achieve technical and application verifications.
Random forest Gini importance favors SNPs with large minor allele frequency

: The use of random forests is increasingly common in genetic association studies. The variable importance measure (VIM) that is automatically calculated as a by-product of the algorithm is often used to rank polymorphisms with respect to their association with the investigated phenotype. Here we investigate a characteristic of this methodology that may be considered as an important pitfall, namely that common variants are systematically favored by the widely used Gini VIM. As a consequence, researchers may overlook rare variants that contribute to the missing heritability. The goal of the present paper is three-fold: 1) to assess this effect quantitatively using simulation studies for different types of random forests (classical random forests and conditional inference forests, that employ unbiased variable selection criteria) as well as for different importance measures (Gini and permutation-based), 2) to explore the trees and to compare the behaviour of random forests and the standard logistic regression model in order to understand the statistical mechanisms behind the preference for common variants, and 3) to summarize our results and previously investigated properties of random forest VIMs in the context of association studies and to make practical recommendations regarding the methodological choice. study
A Prognostic and Warning System for Power Electronic Modules in Electric, Hybrid, and Fuel Cell Vehicles

Reliability of power electronics modules is of paramount importance for the commercial success of various types of electric vehicles. In this paper, we study the technical feasibility of detecting early symptoms and warning signs of power module degradation due to thermomechanical stress and fatigue, and developing a prognostic system that monitors the state of health of the power modules in electric, hybrid, and fuel cell vehicles. A signature degradation trace of the on-voltage of IGBT modules was observed from accelerated power cycling test. This on-voltage "anomaly" can be attributed to sequential events of solder joint degradation followed by wirebond lift-off mechanisms. A quasi real-time IGBT failure prognostic algorithm based on monitoring the abnormal VCEsat variation at specific currents and temperatures is developed. The algorithm was verified using extensive SIMULINK modeling. The prognostic system can be implemented cost-effectively in existing vehicle hardware/software architectures
Personal Authentication Using Multifeatures Multispectral Palm Print Traits

Biometrics authentication is an effective method for automatically recognizing a person's identity with high confidence. Multispectral palm print biometric system is relatively new biometric technology and is in the progression of being endlessly refined and developed. Multispectral palm print biometric system is a promising biometric technology for use in various applications including banking solutions, access control, hospital, construction, and forensic applications. This paper proposes a multispectral palm print recognition method with extraction of multiple features using kernel principal component analysis and modified finite radon transform. Finally, the images are classified using Local Mean K-Nearest Centroid Neighbor algorithm. The proposed method efficiently accommodates the rotational, potential deformations and translational changes by encoding the orientation conserving features. The proposed system analyses the hand vascular authentication using two databases acquired with touch-based and contactless imaging setup collected from multispectral Poly U palm print database and CASIA database. The experimental results clearly demonstrate that the proposed multispectral palm print authentication obtained better result compared to other methods discussed in the literature.
People counting with block histogram features and network flow constraints

Recently, a directed graph model was presented to crowd counting in videos, and people flow was viewed as an integer flow on the constructed graph. The authors show that the network flow constraints on the graphs help to obtain consistent counting results. In this paper, we improve their work from two aspects. First, we design block histogram features for each group of people. Second, we simplify their directed graphs to contracted graphs by contracting all cut arcs. Since the network flow constraints on original graphs are equivalence to that on contracted ones, we propose a quadratic programming method with network flow constraints on contracted graphs to refine the crowd counting results. At last, experiments show that our block histogram features can deal better with perspective distortion problems and our approach obtains outstanding performance on PETS 2009 dataset.
ComeTogether: Discovering Communities of Places in Mobility Data

We analyze urban mobility and public places under a new perspective: how can we feature the places in a city based on how people move among them? To answer this question we need to combine places, like points of interest, with mobility information like the trajectories of individuals moving within a city. To accomplish this, we propose a methodology based on complex network analysis: we build a network of points of interests by connecting places by the individual trajectories passing through them. From such network we compute communities finding groups places highly connected by the mobility of the individuals. We present a case study on real trajectory dataset on the city of Milan, showing a complementary view on the urban mobility that is not covered by the state-of-the art techniques on mobility analysis.
How to schedule unlimited memory pinning of untrusted processes or provisional ideas about service-neutrality

You can read it as a paper that treats a concrete problem motivated in the first section: how can we permit untrusted user processes to pin their virtual pages in memory most flexibly and as unlimited as possible? From this point of view, the paper presents a general solution that is theoretically and experimentally reasonably substantiated. However, you can also read the paper as an approach to solve the more general problem of how an existing system can be extended by new operations while preserving the original system's QoS properties. From this point of view, the paper is highly speculative. The presented principle of service-neutral operations can successfully solve the concrete problem of dynamic pinning. However we still have no sound evidence that it is useful for a much broader class of problems. Nevertheless, we strongly suspect it.
Representation of spatial orientation by the intrinsic dynamics of the head-direction cell ensemble: a theory

The head-direction (HD) cells found in the limbic system in freely mov ing rats represent the instantaneous head direction of the animal in the horizontal plane regardless of the location of the animal. The internal direction represented by these cells uses both self-motion information for inertially based updating and familiar visual landmarks for calibration. Here, a model of the dynamics of the HD cell ensemble is presented. The stability of a localized static activity profile in the network and a dynamic shift mechanism are explained naturally by synaptic weight distribution components with even and odd symmetry, respectively. Under symmetric weights or symmetric reciprocal connections, a stable activity profile close to the known directional tuning curves will emerge. By adding a slight asymmetry to the weights, the activity profile will shift continuously without disturbances to its shape, and the shift speed can be controlled accurately by the strength of the odd-weight component. The generic formulation of the shift mechanism is determined uniquely within the current theoretical framework. The attractor dynamics of the system ensures modality- independence of the internal representation and facilitates the correction for cumulative error by the putative local-view detectors. The model offers a specific one-dimensional example of a computational mechanism in which a truly world-centered representation can be derived from observer-centered sensory inputs by integrating self-motion information.
Encounter Based Routing in DTN : A Review

Delay tolerant-network (DTN) is emerging technology in wireless communication. This network is useful in scenarios where no end-to-end path exists from source to destination. Current work in routing protocols for delay and disruption tolerant networks leverage epidemic-style algorithms that trade off injecting many copies of messages into the network for increased probability of message delivery. However, such techniques can cause a large amount of contention in the network, increase overall delays, and drain each mobile node’s limited battery supply. We present a new DTN routing algorithm, called Encounter-Based Routing (EBR), which maximizes delivery ratios while minimizing overhead and delay. This paper presents the work done by researchers to enhance the routing techniques in DTN.
Phase coherence in speech reconstruction for enhancement and coding applications

It has been shown that an analysis-synthesis system based on a sinusoidal representation leads to synthetic speech that is essentially perceptually indistinguishable from the original. A change in speech quality has been observed, however, when the phase relation of the sine waves is altered. This occurs in practice when sine waves are processed for speech enhancement and for speech coding. A description is given of a zero-phase sinusoidal analysis-synthesis system which generates natural-sounding speech without the requirement of vocal tract phase. The method provides a basis for improving sound quality by providing different levels of phase coherence in speech reconstruction for time-scale modification, for a baseline system for coding, and for reducing the peak-to-RMS ratio by dispersion. <<ETX>>
Safety of datalog queries over infinite databases

A query is safe with respect to a set of constraints if for every database that satisfies the constraints the query is guaranteed to yield a finite set of answers. We study here the safety problem for Datalog programs with respect to finiteness constraints. We show that safety can be viewed as a combination of two properties: weak safety, which guarantees the finiteness of intermediate answers, and termination, which guarantees the finiteness of the evaluation. We prove that while weak safety is decidable, termination is not. We then consider monadic programs, i.e., programs in which all intensional predicates are monadic, and show that safety is decidable in polynomial time for monadic programs. While we do not settle the safety problem, we show that a closely related problem, the decision problem for safety with respect to functional dependencies, is undecidable even for monadic programs.
An Estimate of the Sampling Error Variance of the Gridded GHCN Monthly Surface Air Temperature Data

Abstract The sampling error variances of the 5° × 5° Global Historical Climatological Network (GHCN) monthly surface air temperature data are estimated from January 1851 to December 2001. For each GHCN grid box and for each month in the above time interval, an error variance is computed. The authors’ error estimation is determined by two parameters: the spatial variance and a correlation factor determined by using a regression. The error estimation procedures have the following steps. First, for a given month for each grid box with at least four station anomalies, the spatial variance of the grid box’s temperature anomaly, σ2s, is calculated by using a 5-yr moving time window (MTW). Second, for each grid box with at least four stations, a regression is applied to find a correlation factor, αs, in the same 5-yr MTW. Third, spatial interpolation is used to fill the spatial variance and the correlation factor in grid boxes with less than four stations. Fourth, the sampling error variance is calculated by us.
Improved coded cooperation scheme with signal space diversity in wireless networks

In this paper, an improved two-user cooperative diversity scheme is proposed, which combines coded cooperation with signal space diversity technique to improve the system diversity. The pairwise error probability (PEP) of the combined system over Nakagami-m fading channels is analyzed and an upper bound on the bit error probability (BEP) for MPSK signal is presented, illustrating that the diversity order can be increased up to twice the order of conventional coded cooperation. Finally, numerical results also show that the proposed scheme can offer great performance improvements in comparison with the conventional approaches.
Neuron-specific interactions with two neurite-promoting fragments of fibronectin

Proteolytic fragments of fibronectin were used to identify regions of the molecule that support neurite extension and to investigate further the differential behavior of central and peripheral nervous system neurons in response to fibronectin (Rogers, S. L., P. C. Letourneau, S. L. Palm, J. B. McCarthy, and L. T. Furcht (1983) Dev. Biol. 98: 212–2220). Fibronectin fragments with differing biological activities were produced by proteolytic digestion with trypsin and cathepsin D and sequential affinity chromatography on gelatin-agarose and heparin- Sepharose. The resulting fragments (described by Smith, D. E., D. F. Mosher, R. B. Johnson, and L. T. Furcht (1982) J. Biol. Chem. 257: 5831– 5838; Smith, D. E. , and L. T. Furcht (1982) J. Biol. Chem. 257: 6518– 6523 included an NH2-terminal 27,000-dalton peptide that weakly binds heparin, a 46,000-dalton gelatin-binding fragment, a series of fragments (80,000 to 125,000 daltons) from the center of the molecule containing previously described cell-binding activity, two major peptides of Mr = 33,000 and 66,000 that bind heparin strongly and are thought to originate from the A and B chains, respectively, of plasma fibronectin, and a 31,000-dalton COOH-terminal peptide containing a free sulfhydryl from the A chain of the molecule. Tissue culture dishes were treated with these proteolytic preparations, and dissociated embryonic chick peripheral (PNS) and central nervous system (CNS) cells were cultured on each experimental substratum in serum-free medium. The fibronectin fragments were evaluated for ability to promote cell attachment, neurite initiation, and maintenance of neurite growth. The 27,000–, 46,000-, and 31,000-dalton preparations did not promote cell attachment or neurite extension. Both PNS and CNS neurons attached to and extended stable neurites upon the COOH-terminal heparin-binding preparation containing the 33,000- and 66,000-dalton peptides. A differential response of the neurons to the 80,000- to 125,000-dalton “cell-binding” peptides was observed: whereas PNS neurons maintained neuritic growth on this preparation for at least 48 hr, CNS neurons extended neurites during the first 24 hr of culture but, by 48 hr, withdrew these neurites and became increasingly clumped. On the basis of (1) the observed neuronal responses to the heparin binding and “cell binding” regions, and (2) the different ligand-binding properties of these regions, we propose that cell attachment and neurite extension can be mediated and/or modulated by two separate regions of fibronectin and that cellular response to the intact molecule may involve multivalent interactions.
Reduced Atherosclerotic Lesion Size in P-Selectin Deficient Apolipoprotein E-Knockout Mice Fed a Chow but Not a Fat Diet

Endothelial cells lining atherosclerotic, but not healthy sites, on human arteries express P-selectin. We investigated the role of P-selectin on the development of vascular lesions in an ApoE−/− male mice. Double-knockout (ApoE−/−, P-selectin−/−; DKO) were compared to single-knockout (ApoE−/−; SKO) mice. They were fed a chow or fat diet for 3, 6, 15, and 20 weeks, without any differences in cholesterol levels. DKO mice fed a chow diet exhibited a ratio of lesion area over media lower than SKO mice, for 3 (P < .03), 6 (P < .001), and 15 (P < .02) weeks. DKO mice fed a fat diet showed a lower ratio only at 3 weeks. P-selectin deficiency in ApoE−/− mice has a protective effect in atherosclerotic lesions development. Reduction of lesion size depends on diet type and duration. A fat diet could neutralize the beneficial effects of P-selectin deficiency, inducing atherosclerotic lesions via probably other adhesion molecules.
Characterizing the roles of classes and their fault-proneness through change metrics

Many approaches to determine the fault-proneness of code artifacts rely on historical data of and about these artifacts. These data include the code and how it was changed over time, and information about the changes from version control systems. Each of these can be considered at different levels of granularity. The level of granularity can substantially influence the estimated fault-proneness of a code artifact. Typically, the level of detail oscillates between releases and commits on the one hand, and single lines of code and whole files on the other hand. Not every information may be readily available or feasible to collect at every level, though, nor does more detail necessarily improve the results. Our approach is based on time series of changes in method-level dependencies and churn on a commit-to-commit basis for two systems, Spring and Eclipse. We identify sets of classes with distinct properties of the time series of their change histories. We differentiate between classes based on temporal patterns of change. Based on this differentiation, we show that our measure of structural change in concert with its complement, churn, effectively indicates fault-proneness in classes. We also use windows on time series to select sets of commits and show that changes over short amounts of time do effectively indicate the fault-proneness of classes.
Tripolin A, a Novel Small-Molecule Inhibitor of Aurora A Kinase, Reveals New Regulation of HURP's Distribution on Microtubules

Mitotic regulators exhibiting gain of function in tumor cells are considered useful cancer therapeutic targets for the development of small-molecule inhibitors. The human Aurora kinases are a family of such targets. In this study, from a panel of 105 potential small-molecule inhibitors, two compounds Tripolin A and Tripolin B, inhibited Aurora A kinase activity in vitro. In human cells however, only Tripolin A acted as an Aurora A inhibitor. We combined in vitro, in vivo single cell and in silico studies to demonstrate the biological action of Tripolin A, a non-ATP competitive inhibitor. Tripolin A reduced the localization of pAurora A on spindle microtubules (MTs), affected centrosome integrity, spindle formation and length, as well as MT dynamics in interphase, consistent with Aurora A inhibition by RNAi or other specific inhibitors, such as MLN8054 or MLN8237. Interestingly, Tripolin A affected the gradient distribution towards the chromosomes, but not the MT binding of HURP (Hepatoma Up-Regulated Protein), a MT-associated protein (MAP) and substrate of the Aurora A kinase. Therefore Tripolin A reveals a new way of regulating mitotic MT stabilizers through Aurora A phosphorylation. Tripolin A is predicted to bind Aurora A similarly but not identical to MLN8054, therefore it could be used to dissect pathways orchestrated by Aurora kinases as well as a scaffold for further inhibitor development.
An overview of frequently used performance measures

Performance measures are often used to increase the competitiveness and profitability of manufacturing companies through the support and encouragement of productivity improvements. This paper reviews the most frequently used performance measures to identify their strengths and weaknesses and the situations in which they are most appropriately deployed. The performance measures under review are compared in terms of how easily they are derived from strategic objectives, how easy they are to understand and whether they help form a long‐term view of performance. Suggests that it is important to select performance measures to match the situation in which they are to be used; more importantly, it is necessary to combine various types of performance measure to provide a fair complete and balanced view of a company or the operations under evaluation.
Hypoglycemic agents and potential anti-inflammatory activity

Current literature shows an association of diabetes and secondary complications with chronic inflammation. Evidence of these immunological changes include altered levels of cytokines and chemokines, changes in the numbers and activation states of various leukocyte populations, apoptosis, and fibrosis during diabetes. Therefore, treatment of diabetes and its complications may include pharmacological strategies to reduce inflammation. Apart from anti-inflammatory drugs, various hypoglycemic agents have also been found to reduce inflammation that could contribute to improved outcomes. Extensive studies have been carried out with thiazolidinediones (peroxisome proliferator-activated receptor-γ agonist), dipeptidyl peptidase-4 inhibitors, and metformin (AMP-activated protein kinase activator) with each of these classes of compounds showing moderate-to-strong anti-inflammatory action. Sulfonylureas and alpha glucosidase inhibitors appeared to exert modest effects, while the injectable agents, insulin and glucagon-like peptide-1 receptor agonists, may improve secondary complications due to their anti-inflammatory potential. Currently, there is a lack of clinical data on anti-inflammatory effects of sodium–glucose cotransporter type 2 inhibitors. Nevertheless, for all these glucose-lowering agents, it is essential to distinguish between anti-inflammatory effects resulting from better glucose control and effects related to intrinsic anti-inflammatory actions of the pharmacological class of compounds.