Miracle-dz/UniFAR-FTUs huggingface dataset:
Crucial role of Rho-nuclear factor-kappaB axis in angiotensin II-induced renal injury.

This study was performed to determine the effectiveness of the Rho kinase inhibitor and NF-kappaB inhibitor in renal injury of ANG II-infused hypertensive rats. Male Sprague-Dawley rats, maintained on a normal diet, received either a sham operation (n = 7) or continuous ANG II infusion (120 ng/min) subcutaneously via minipumps. The ANG II-infused rats were further subdivided into three subgroups (n = 7 each) to receive one of the following treatments during the entire period: vehicle, Rho kinase inhibitor (fasudil; 3 mg.kg(-1). day(-1) ip), or NF-kappaB inhibitor (parthenolide; 1 mg.kg(-1). day(-1) ip). After 12 days of ANG II infusion, systolic blood pressure (BP; 208 +/- 7 vs. 136 +/- 3 mmHg), Rho kinase activity, NF-kappaB activity, renal ANG II contents (160 +/- 25 vs. 84 +/- 14 pg/g), monocytic chemotactic protein (MCP) 1 mRNA, interstitial macrophage infiltration, transforming growth factor-beta1 (TGF-beta1) mRNA, interstitial collagen-positive area, urinary protein excretion (43 +/- 6 vs. 11 +/- 2 mg/day), and urinary albumin excretion were significantly enhanced compared with the Sham group. While fasudil or parthenolide did not alter systolic BP (222 +/- and 190 +/- 21, respectively), both treatments completely blocked ANG II-induced enhancement of NF-kappaB activity, renal ANG II contents (103 +/- 11 and 116 +/- 21 pg/g, respectively), MCP1 mRNA, interstitial macrophage infiltration, TGF-beta1 mRNA, interstitial collagen-positive area, urinary protein excretion (28 +/- 6 and 23 +/- 3 mg/day, respectively), and urinary albumin excretion. Importantly, parthenolide did not alter ANG II-induced Rho kinase activation although fasudil abolished ANG II-induced Rho kinase activation. These data indicate that the Rho-NF-kappaB axis plays crucial roles in the development of ANG II-induced renal injury independently from BP regulation.
Discovering imitation strategies through categorization of multi-dimensional data

An essential problem of imitation is that of determining "what to imitate", i.e. to determine which of the many features of the demonstration are relevant to the task and which should be reproduced. The strategy followed by the imitator can be modeled as a hierarchical optimization system, which minimizes the discrepancy between two multi-dimensional datasets. We consider imitation of a manipulation task. To classify across manipulation strategies, we apply a probabilistic analysis to data in Cartesian and joint spaces. We determine a general metric that optimizes the policy of task reproduction, following strategy determination. The model successfully discovers strategies in six different manipulation tasks and controls task reproduction by a full body humanoid robot.
Purification of rabbit myocardial cytosolic acyl-CoA hydrolase, identity with lysophospholipase, and modulation of enzymic activity by endogenous cardiac amphiphiles.

Rabbit myocardial cytosolic acyl coenzyme A (acyl-CoA) hydrolase activity was purified to near-homogeneity by ammonium sulfate precipitation and ion-exchange, gel filtration, chromatofocusing, and hydroxylapatite chromatographies. Kinetic analysis of the purified protein demonstrated a maximum velocity of 24 mumol/(mg . min) and an apparent Michaelis constant of 50 microM. Cytosolic acyl-CoA hydrolase and lysophospholipase activities cochromatographed in every fraction of every step. The purified protein was a single band (Mr 23 000) after sodium dodecyl sulfate-polyacrylamide gel electrophoresis and silver staining. These results suggest that cytosolic lysophospholipase and palmitoyl-CoA hydrolase activities are catalyzed by a single polypeptide with dual activities. Palmitoyl-CoA competitively inhibited lysophospholipase activity (Ki = 4 microM). Low concentrations (20 microM) of lysophosphatidylcholine or L-palmitoylcarnitine increased palmitoyl-CoA hydrolase activity at low palmitoyl-CoA concentrations but had little effect at high concentrations of palmitoyl-CoA. In contrast, high concentrations (100 microM) of lysophosphatidylcholine or L-palmitoylcarnitine inhibited palmitoyl-CoA hydrolase activity. The results suggest that interactions between endogenous cardiac amphiphiles and palmitoyl-CoA hydrolase contribute to the regulation of intracellular long-chain acyl-CoA concentrations and therefore potentially modulate fluxes of fatty acid through several biochemical pathways.
Coupling of zygotic transcription to mitotic control at the Drosophila mid-blastula transition

One of the most prominent features at the mid-blastula transition (MBT) observed in most embryos is a pause in cell cycle regulated by the nucleocytoplasmic (N/C) ratio. By using chromosome rearrangements to manipulate the DNA content of embryos, we determined that the threshold for this cell cycle pause in Drosophila is about 70% of the DNA content normally present at cycle 14. Embryos with DNA contents around this value show intermediate cell cycle behaviors. Some pause at cycle 14, some at cycle 15, and some form patches arrested in different mitotic cycles. A second feature at MBT is a massive increase in zygotic transcription and a parallel degradation of maternally supplied RNAs. To determine whether these changes in gene expression are governed by the same N/C ratio that controls cell cycle pause, we compared gene expression in haploid and diploid Drosophila embryos. We find that most maternal RNA degradation and most new transcription correlate with absolute time or developmental stage, and are timed independently of the N/C ratio. We identify a class of zygotically active genes whose expression depends on the N/C ratio and which are only expressed at cycle 15 in haploids. In embryos with patchy cell cycle behavior due to threshold DNA contents, the expression of these genes correlates tightly with the boundaries of the mitotic patches, suggesting either that the mechanism that pauses the mitotic cycle is the same as the one that measures the N/C ratio, or that it is tightly coupled to the mechanism controlling zygotic transcription of N/C ratio genes at the MBT.
Observer-based output feedback control of discrete-time linear systems with input and output delays

In this paper, we study observer-based output feedback control of discrete-time linear systems with both multiple input and output delays. By generalising our recently developed truncated predictor feedback approach for state feedback stabilisation of discrete-time time-delay systems to the design of observer-based output feedback, two types of observer-based output feedback controllers, one being memory and the other memoryless, are constructed. Both full-order and reduced-order observer-based controllers are established in both the memory and memoryless schemes. It is shown that the separation principle holds for the memory observer-based output feedback controllers, but does not hold for the memoryless ones. We further show that the proposed observer-based output feedback controllers solve both the l2 and l∞ semi-global stabilisation problems. A numerical example is given to illustrate the effectiveness of the proposed approaches.
Prediction of miRNAs in Bombyx mori through Computational Approaches

In this paper, we have used rule-based approach to predict mature miRNA from pre-miRNAs of Bombyx moori (Silk worm). For rule based approach, it is important to have a set of rules. Unfortunately, to the best of our knowledge, miRNA related literature does not provide well-defined set of rules for miRNA prediction. Therefore, the challenge in this research was to derive a set of rules from known data set of related species. We have made an attempt to derive a set of rules from the known miRNA and pre-miRNA data sets of Drosophila melanogaster and Apis mellifera. The derivation of rules is based on the dominating features identified using PCA and infogain method applied by authors in their previous work. Based on these rule set a PERL script is written to predict mature miRNA from given pre-miRNA sequences of Bombyx mori. The results are good approximation with a small number of mismatches. The results of the research are encouraging and may facilitate miRNA biogenesis.
4587 - IN-SITU STRENGTH OF ALUMINA GREEN COMPACT AT ELEVATED TEMPERATURE DURING SINTERING

Recently, ceramics is extensively applied to structural materials and ceramics components become larger and more complex. Because of its large and complex shape, ceramic components are often prone to fracture in the sintering process. The simulation of sintering has been investigated to prevent the fracture. However, simulation of ceramics sintering was difficult because the strength of the ceramics during sintering has not been well investigated so far. In this study, we measured strength of alumina green compact during sintering and proposed models for strength. Two kinds of alumina green compact were used to measure strength. Three point bending test at elevated temperature was performed and strength was estimated at each temperature. Three models based on creep behavior of sintered ceramics were also proposed. The strength was evaluated by deformation stress because of the ductile manner above 1373K. The strength for high strain rate increased until about 1573K and decreased over 1573K. In contrast, the strength for low strain rate decreased with temperature. The effect of density and strain rate on strength was also investigated. During low shrinkage rate, there was no effect of relative density on strength. The strength increased with strain rate, so the effect of strain rate was also observed. Furthermore, the experimental results were compared to models for strength. Two models were in good agreement with the experimental results. Accordingly, the strength was predicted by these models and experimental parameters. We could predict the strength and the effect of temperature and strain rate on strength at elevated temperature. This result permits us to carry out the simulation of firing and we expect these models applies another ceramics materials.
Multi-View Gender Classification Using Multi-Resolution Local Binary Patterns and Support Vector Machines

In this paper, we present a novel method for multi-view gender classification considering both shape and texture information to represent facial images. The face area is divided into small regions from which local binary pattern (LBP) histograms are extracted and concatenated into a single vector efficiently representing a facial image. Following the idea of local binary pattern, we propose a new feature extraction approach called multi-resolution LBP, which can retain both fine and coarse local micro-patterns and spatial information of facial images. The classification tasks in this work are performed by support vector machines (SVMs). The experiments clearly show the superiority of the proposed method over both support gray faces and support Gabor faces on the CAS-PEAL face database. A higher correct classification rate of 96.56% and a higher cross validation average accuracy of 95.78% have been obtained. In addition, the simplicity of the proposed method leads to very fast feature extraction, and the regional histograms and fine-to-coarse description of facial images allow for multi-view gender classification.
Collected Works of Alan Turing Morphogenesis Universal Turing Machine

Recent advances in semantic technology and mobile theory interfere in order to accomplish Lamport clocks. Given the current status of mobile configurations, mathematicians famously desire the robust unification of IPv6 and kernels that paved the way for the evaluation of semaphores. Our focus in our research is not on whether fiber-optic cables and Scheme are mostly incompatible, but rather on describing a framework for knowledge-base theory (NOWCH).
Tackling OS Complexity with Declarative Techniques

This thesis argues that tackling the increased operating systems complexity with declarative techniques significantly reduces code complexity involved in adapting to a wide range of modern hardware. Modern hardware is increasingly diverse and complex. It is likely that this trend continues further. This trend complicates the operating system’s construction. Operating systems have to adapt to the hardware architecture and exploit all features to guarantee the best possible overall system performance. Not exploiting all hardware features, or using them in a suboptimal or even wrong way, results in lower overall system performance. Traditionally, operating systems adapt to the underlying architecture by predefined policies, which are intermingled with the core operating system’s functionality. In this thesis I argue that for two reasons it is no longer possible to encode predefined policies for a set of known hardware architectures into the operating system. First, predefined policies do not automatically guarantee that hardware features are fully exploited on all hardware platforms. Second, for this reason, predefined policies would need to be ported to many different hardware platforms, while, at the same time, it would be necessary to keep the policies suitable for older platforms. This leads to a significant complexity of operating systems and finally to a high engineering effort, when porting the operating system to new hardware platforms. To avoid this problem, the operating systems must gain hardware knowledge at runtime and derive policies suitable for the current architecture through online reasoning about the hardware. This leads to operating sys-
HW/SW co-designed processors: Challenges, design choices and a simulation infrastructure for evaluation

Improving single thread performance is a key challenge in modern microprocessors especially because the traditional approach of increasing clock frequency and deep pipelining cannot be pushed further due to power constraints. Therefore, researchers have been looking at unconventional architectures to boost single thread performance without running into the power wall. HW/SW co-designed processors like Nvidia Denver, are emerging as a promising alternative. However, HW/SW co-designed processors need to address some key challenges such as startup delay, providing high performance with simple hardware, translation/optimization overhead, etc. before they can become mainstream. A fundamental requirement for evaluating different design choices and trade-offs to meet these challenges is to have a simulation infrastructure. Unfortunately, there is no such infrastructure available today. Building the aforementioned infrastructure itself poses significant challenges as it encompasses the complexities of not only an architectural framework but also of a compilation one. This paper identifies the key challenges that HW/SW codesigned processors face and the basic requirements for a simulation infrastructure targeting these architectures. Furthermore, the paper presents DARCO, a simulation infrastructure to enable research in this domain.
A Tabu Search Approach for Optimizing Server Placement in Distributed Systems

In distributed systems, the server placement problem in which a new server has to compete with existing servers for user requests is important in planning of constructing new business service sites. In addition to minimizing cost, competition-aware server placement also needs to maximize the benefit of building a new server. This paper proposes a Tabu Search approach to optimize the problem in general graphs. Results from the simulation experiments show that it do has a better performance than both of the Greedy Add and Greedy Remove algorithms.
Research in MIS—points of work and reference: a replication and extension of the Culnan and Swanson study

This study replicates and extends Culnan and Swanson's study (1986) of bibliographic citations in MIS and its foundational fields in order to assess the emergence of MIS as a distinct discipline. Academic researchers, particularly those endeavoring to make advances in knowledge which build upon prior research, benefit by being able to recognize cumulative research traditions. Progress toward building and MIS identity and cumulative research tradition is measured through statistical analyses of reference patterns during the past decade in ten selected journals. Four hypotheses are tested which reveal that although MIS is still less established than its referent disciplines, maturation has occurred through systematic knowledge development and the existence of a cumulative body of research.
Making Use of Language Technologies to Provide Formative Feedback

Van Rosmalen, P., & Berlanga, A. J. (2009). Making Use of Language Technologies to Provide Formative Feedback. Paper presented at the Natural Language Processing in Support of Learning Workshop held in conjunction with the International Conference on Artificial Intelligence in Education (AIED2009). July, 6-10, 2009, Brighton, United Kingdom.
Adaptive generalized PID controllers and fuzzy logic coordinator for load sharing in SMSE

This paper describes the control of the energy transfers in Systems of Multiple Sources of Energy (SMSE). The considered SMSE is a Linear Time Varying (LTV) system in view of the sources and load fluctuations. The proposed adaptive generalized PID controllers regulate the DC bus voltage and the currents provided by each source whatever the sources and load fluctuations. These local controllers cooperate with a fuzzy logic coordinator that tunes the power ratio provided by each source according to the load and duty cycle estimations.
A Thallium Transport FLIPR-Based Assay for the Identification of KCC2-Positive Modulators

KCC2, potassium chloride cotransporter 2, is expressed exclusively in the CNS (on inhibitory neurons) and plays a major role in maintaining appropriately low intracellular chloride levels that ensure inhibitory actions of GABAA and glycine receptors. As such, it plays a pivotal role in inhibitory mechanisms that control neuronal excitation in the CNS. KCC2 downregulation has been implicated in various excitatory disorders, such as epilepsy and neuropathic pain. Positive modulators of KCC2 expression or activity may thus provide effective therapy for these disorders. However, the identification of such agents is hindered by the lack of a high-throughput screening method. Here the authors report the development of a fluorescence-based thallium (Tl+) transport assay using a Fluorometric Imaging Plate Reader (FLIPR), in which KCC2 activity is assessed by measuring the initial rate of KCC2-mediated Tl+ transport/influx. The authors demonstrate Tl+/Cl− cotransport by KCC2, which exhibits a high apparent affinity for Tl+ and dependency on the presence of the Cl− ion. Pharmacological studies revealed anticipated effects and potencies of known KCC-positive (NEM, staurosporine) and KCC-negative (DIOA, furosemide) modulators. The authors demonstrate that the assay is robust and reproducible and can be employed in high-throughput screening for positive modulators of KCC2 as potential therapeutic agents.
SANE: Semantic-Aware Namespacein Ultra-Large-Scale File Systems

The explosive growth in data volume and complexity imposes great challenges for file systems. To address these challenges, an innovative namespace management scheme is in desperate need to provide both the ease and efficiency of data access. In almost all today's file systems, the namespace management is based on hierarchical directory trees. This tree-based namespace scheme is prone to severe performance bottlenecks and often fails to provide real-time response to complex data lookups. This paper proposes a Semantic-Aware Namespace scheme, called SANE, which provides dynamic and adaptive namespace management for ultra-large storage systems with billions of files. SANE introduces a new naming methodology based on the notion of semantic-aware per-file namespace, which exploits semantic correlations among files, to dynamically aggregate correlated files into small, flat but readily manageable groups to achieve fast and accurate lookups. SANE is implemented as a middleware in conventional file systems and works orthogonally with hierarchical directory trees. The semantic correlations and file groups identified in SANE can also be used to facilitate file prefetching and data de-duplication, among other system-level optimizations. Extensive trace-driven experiments on our prototype implementation validate the efficacy and efficiency of SANE.
FrameNet Meets the Semantic Web: A DAML+OIL Frame Representation

The Berkeley FrameNet Project (Baker, Fillmore, & Lowe 1998; Fillmore & Baker 2001) (URL: http:// framenet.icsi.berkeley.edu/ framenet) is creating an online lexical resource for English, based on the principles of Frame Semantics and supported by corpus evidence. A semantic frame is a script-like structure of inferences, which are linked to the meanings of linguistic units (lexical items). Each frame identifies a set of frame elements (FEs), which are framespecific semantic roles (participants, props, phases of a state of affairs). Our description of each lexical item identifies the frames which underlie a given meaning and the ways in which the FEs are realized in structures headed by the word. The FrameNet database documents the range of semantic and syntactic combinatory possibilities (valences) of each word in each of its senses, through manual annotation of example sentences and automatic summarization of the resulting annotations. The FrameNet database is available in XML, and can be displayed and queried via the web and other interfaces. The FrameNet I data has also been translated into the DAML+OIL extension to XML and the Resource Description Framework (RDF), which can represent our ontologies and to make FrameNet information machine readable and understandable. We have developed an automatic translator from FrameNet 1 data in XML to DAML+OIL; this paper reports on our representation of this data in DAML+OIL.
Work Out the Semantic Web Search: The Cooperative Way

We propose a Cooperative Question Answering System that takes as input natural language queries and is able to return a cooperative answer based on semantic web resources, more specifically DBpedia represented in OWL/RDF as knowledge base and WordNet to build similar questions. Our system resorts to ontologies not only for reasoning but also to find answers and is independent of prior knowledge of the semantic resources by the user. The natural language question is translated into its semantic representation and then answered by consulting the semantics sources of information. The system is able to clarify the problems of ambiguity and helps finding the path to the correct answer. If there are multiple answers to the question posed (or to the similar questions for which DBpedia contains answers), they will be grouped according to their semantic meaning, providing a more cooperative and clarified answer to the user.
Optimal Rank Reduction for Linear Context-Free Rewriting Systems with Fan-Out Two

Linear Context-Free Rewriting Systems (LCFRSs) are a grammar formalism capable of modeling discontinuous phrases. Many parsing applications use LCFRSs where the fan-out (a measure of the discontinuity of phrases) does not exceed 2. We present an efficient algorithm for optimal reduction of the length of production right-hand side in LCFRSs with fan-out at most 2. This results in asymptotical running time improvement for known parsing algorithms for this class.
Infinite-order laminates in a model in crystal plasticity

We consider a geometrically nonlinear model for crystal plasticity in two dimensions, with two active slip systems and rigid elasticity. We prove that the rank-1 convex envelope of the condensed energy density is obtained by infinite-order laminates, and express it explicitly via the 2F1 hypergeometric function. We also determine the polyconvex envelope, leading to upper and lower bounds on the quasiconvex envelope. The two bounds differ by less than 2%.