Miracle-dz/UniFAR-FTUs huggingface dataset:
PII: 0967-0661(96)00013-5

A dynamic positioning (DP) system includes different control functions for the automatic positioning and guidance of marine vessels by means of thruster and propeller actions. This paper describes the control functions which provide station-keeping and tracking. The DP controller is a model-based control design, where a new modified LQG feedback controller and a model reference feedforward controller are applied. A reference model calculates appropriate reference trajectories. Since it is not desirable, nor even possible, to counteract the wave-frequency movement caused by first-order wave loads, the control action of the propulsion system should be produced by the lowfrequency part of the vessel movement caused by current, wind and second-order mean and slowly varying wave loads. A Kalman-filter-based state estimator and a Luenberger observer are used to compute the low-frequency feedback and feedforward control signals. Full-scale experiments with a multipurpose supply ship demonstrate the performance of the proposed controller.
Multilabel Image Classifier Using Active Learning

Most active learning approaches select informative or representative unlabeled instances to query their labels for classification. Although several active learning algorithms have been proposed to combine the two criteria for query selection uses ad hoc in finding unlabeled instances that are both informative and representative. Informativeness measures the ability of an instance in reducing the uncertainty of a statistical model, where as representativeness measures if an instance well represents the overall input patterns of unlabeled data. The supervised machine learning techniques is applied to multilabel image classification problems. supervised learning, within the available data repository, only part of the data are labeled and utilized for training performances heavily rely on the quality of training images. The supervised learning techniques having hinders to large scale problems. High-order label correlation driven active learning is motivated by the virtue of leveraging label correlations to improve multi-label classification A high-order label correlation driven active learning approach that uses the iterative learning algorithm to choose the informative example-label pairs from which it learns so as to learn an accurate classifier with less annotation efforts.
Abnormal Synaptic Plasticity and Impaired Spatial Cognition in Mice Transgenic for Exon 1 of the Human Huntington's Disease Mutation

Huntington's disease (HD) is an autosomal dominant progressive and fatal neurodegenerative brain disorder caused by an expanded CAG/polyglutamine repeat in the coding region of the gene. Presymptomatic Huntington's disease patients often exhibit cognitive deficits before the onset of classical symptoms. To investigate the possibility that changes in synaptic plasticity might underlie cognitive impairment in HD, we examined hippocampal synaptic plasticity and spatial cognition in a transgenic mouse (R6/2 line) expressing exon 1 of the human Huntington's disease gene containing an expanded CAG repeat. This mouse exhibits a progressive and fatal neurological phenotype that resembles Huntington's disease. We report that R6/2 mice show marked alterations in synaptic plasticity at both CA1 and dentate granule cell synapses, and impaired spatial cognitive performance in the Morris water maze. The changes in hippocampal plasticity were age dependent, appearing at CA1 synapses several weeks before they were observed in the dentate gyrus. Deficits in synaptic plasticity at CA1 synapses occurred before an overt phenotype. This suggests that altered synaptic plasticity contributes to the pre-symptomatic changes in cognition reported in human carriers of the Huntington' disease gene. The temporal and regional changes in synaptic plasticity within the hippocampus mirror the appearance of neuronal intranuclear inclusions, suggesting a relationship between polyglutamine aggregation and dysfunction.
A pervasive computing paradigm for fast terrain exploration

Recent advances in sensor networks and mobile agents have revealed a new set of data management challenges, characterized by highly distributed information gathering at stationary nodes, which are intermittently accessed by roaming mobile nodes. We envisage applications in which the environment is instrumented with a large number of inexpensive computing devices that can store local context information. This pervasive computing platform can then assist a group of mobile nodes in achieving a collective goal. Our framework is ideal for emergency applications, where a fast exploration of the afflicted area by roaming mobile nodes is essential to identifying the locations of victims and hazards (burnt rooms, collapsed stairs, etc.), without risking the lives of the first responders. In this demo, we present distributed algorithms for mobile node coordination through their continuous interaction with an intelligent environment. The objective is to ensure fast coverage of a hazardous area by mobile nodes, which read local context information in order to decide on the next navigation step, and update it to affect the navigation decisions of their peers. Context information is stored in miniature stationary nodes, which are either pre-deployed, or dynamically deployed by mobile nodes. In our demo, we illustrate pathological cases in which existing algorithms cover the same areas multiple times or block mobile nodes before completing the exploration task. Finally, we show how our algorithm addresses these problems and outperforms the competing approaches. 2 Our Model
Analysis of Supply Chain Dynamics using Distributed Simulation

Dynamics in a supply chain are attributed to the delays and amplifications in the flow of information across the supply chain system. Demand is an important form of information that passes from one firm to another. During these transfers, the demand information gets distorted leading to demand amplifications. This demand amplification effect (popularly known as the bullwhip effect) has been widely discussed in the literature over many years. However, the bullwhip effect is still prevalent in many supply chains, generally leading to excessive inventory throughout the system, poor product forecasts, insufficient or excessive capacities, product unavailability and higher costs. Causes for demand amplifications include (i) demand signal processing, (ii) order batching, (iii) rationing game, and (iv) price variations [1]. Several alternatives have been identified to minimize the supply chain dynamics. They are (i) single control of replenishment (e.g., vendor managed inventory); (ii) lead time reduction; (iii) regular delivery schedule; (iv) changing individual echelon decision rules; (v) identifying inventory levels; (vi) improved information exchange (e.g., access to point of sale data); and (vii) type of information sharing (centralized, decentralized, and coordinated).
Honey and its Anti-Inflammatory, Anti-Bacterial and Anti-Oxidant Properties

Honey mainly consists of sugars and water. Apart from sugars, honey also contains several vitamins, especially B complex and vitamin C, together with a lot of minerals. Some of the vitamins found in honey include ascorbic acid, pantothenic acid, niacin and riboflavin; while minerals such as calcium, copper, iron, magnesium, manganese, phosphorus, potassium and zinc are also present. Honey has been used for its healing, nutritional and therapeutic properties since ancient times. Its antibacterial potentials even against multi-drug resistant bacteria, such as Staphylococcus aureus, Pseudomonas aeruginosa and Acinetobacterbaumanni have been proved. Honey is well known for its anti-inflammatory and antioxidant capacities, which may be useful for the prevention of chronic inflammatory process like atherosclerosis, diabetes mellitus and cardiovascular diseases. The antibacterial, antiinflammatory and antioxidant properties of honey will be reviewed here.
apsis - Framework for Automated Optimization of Machine Learning Hyper Parameters

The apsis toolkit presented in this paper provides a flexible framework for hyperparameter optimization and includes both random search and a bayesian optimizer. It is implemented in Python and its architecture features adaptability to any desired machine learning code. It can easily be used with common Python ML frameworks such as scikit-learn. Published under the MIT License other researchers are heavily encouraged to check out the code, contribute or raise any suggestions. The code can be found at github.com/FrederikDiehl/apsis.
Ozone (O3): An Out-of-Order Flash Memory Controller Architecture

Ozone (O3) is a flash memory controller that increases the performance of a flash storage system by executing multiple flash operations out of order. In the O3 flash controller, data dependencies are the only ordering constraints on the execution of multiple flash operations. This allows O3 to exploit the multichip parallelism inherent in flash memory much more effectively than interleaving. The O3 controller also provides a prioritized handling of flash operations, equipping flash management software, such as the FTL (flash translation layer), with control knobs for managing flash operations of different time criticalities. Running a range of workloads on an FPGA implementation showed that the O3 flash controller achieves 3 to 100 percent more throughput than interleaving, with 46 to 88 percent lower response times.
Glucagon‐like peptide‐1, corticotropin‐releasing hormone, and hypothalamic neuronal histamine interact in the leptin‐signaling pathway to regulate feeding behavior

Glucagon‐like peptide‐1 (GLP‐1), corticotropin‐releasing hormone (CRH), and hypothalamic neuronal histamine suppress food intake, a target of leptin action in the brain. This study examined the interactions of GLP‐1, CRH, and histamine downstream from the leptin‐signaling pathway in regulating feeding behavior. Infusion of GLP‐1 into the third cerebral ventricle (i3vt) at a dose of 1 µg significantly decreased the initial 1 h cumulative food intake in rats as compared with phosphate‐buffered saline (PBS) controls. The GLP‐1‐induced suppression of feeding was partially attenuated by intraperitoneal pretreatment with α‐fluoromethylhistidine (FMH), a specific suicide inhibitor of histidine decarboxylase, which depletes hypothalamic neuronal histamine. Pretreatment with α‐helical CRH (10 µg/rat, i3vt), a nonselective CRH antagonist, abolished the GLP‐1‐induced suppression of feeding completely. I3vt infusion of GLP‐1 increased the CRH content and histamine turnover assessed using the pargyline‐induced accumulation of tele‐methyl histamine (t‐MH), a major metabolite of neuronal histamine, in the hypothalamus. The central infusion of CRH also induced the increase of histamine turnover and CRH receptor type 1 was localized on the cell body of histamine neuron. Pretreatment with exendin(9–39), a GLP‐1 receptor antagonist, attenuated the leptin‐induced increase in CRH content of the hypothalamus. Finally, i3vt infusion of leptin also increased histamine turnover in the hypothalamus. Pretreatment with exendin(9–39), α‐helical CRH or both antagonists attenuated the leptin‐induced responses of t‐MH levels in the hypothalamus. These results suggest that CRH or hypothalamic neuronal histamine mediates the GLP‐1‐induced suppression of feeding behavior, that CRH mediates GLP‐1 signaling to neuronal histamine and that a functional link from GLP‐1 to neuronal histamine via CRH constitutes the leptin‐signaling pathway regulating feeding behavior.
An image processing approach using fuzzy topology

The purpose of this paper is to describe the use of fuzzy topology in numerical processing of images acquired from the real world. The problems that arise from the intrinsic complexity of image data, due to the variability of real conditions and to inaccuracies and uncertainties in measurements, are solved through the integration of the most traditional image measures and features (related to densitometric properties) with some measures derived from topology. Such an integration is made possible by a new parameter derived from the measure of fbzzy-comrectedness, namely, intensity or x-connectedness [1,2], which allows the use of topology as a processing tool, rather than a simple measurement parameter. Various image-processing algorithms can be obtained by exploiting x-comrectedness, as it allows the detection of maximum connected paths at each image site with respect to a fixed reference point. Such information turns out to be very useful during image processing, as it explicitly describes the relationships among image sites. The main innovative aspect of the proposed approach concerns the use of connectedness paths for the selection of a local context when local processing formulas are applied. In this paper, a novel representation model to describe interactions among image pixels is proposed that explicitly takes into account how each pixel is related to neighbouring pixels. After brief overviews of the use of fuzzy sets for image processing tasks and of the models commonly utilized to represent contextual information within 2D signals, the proposed approach is detailed, describing the fuzzy topological measure of x-comtectedness and how it is exploited during image processing. A specific application of the new approach to non-linear image filtering is considered, where a careful selection of the local context plays a fundamental role for the successful employment of filtering operators. Finally, results on real images are reported, and a quantitative comparison of the new approach with the traditional one to 2D non-linear filtering is made.
A post-processing decal texture mapping algorithm on graphics hardware

This paper discusses the problem of decal texture mapping onto arbitrary surfaces. Most of the current applications using decal textures are using sub-face projection or multi-layer texture blending technique to resolve this problem. Both of these methods are heavy loaded on CPU and the rendering speed is directly related to the number of the decals. In our approach, a post-processing decal texture mapping algorithm is used to blend the decals into frame buffer after the main rendering stage and implemented as a procedural texture fragment shader on the GPU. Our algorithm fully utilized the parallelism nature of GPU, and achieved a comparable high real-time rendering performance.
Impact of apolipoprotein E polymorphism on lipoproteins and risk of myocardial infarction. The ECTIM Study.

Human apolipoprotein (apo) E, a polymorphic protein with three common alleles, epsilon 2, epsilon 3, and epsilon 4, plays an important role in lipoprotein metabolism. This article describes the association of this polymorphism with lipids, apolipoproteins, and lipoproteins with a particular regard to lipoprotein particles, as defined by their apolipoprotein content, as well as the risk of myocardial infarction in a multicenter population-based case-control study (ECTIM study). In the ECTIM study, 574 male patients aged 25 to 64 were examined 3 to 9 months after myocardial infarction in four regions participating in the World Health Organization MONICA project: Belfast (Northern Ireland) and Lille, Strasbourg, and Toulouse (France). Control subjects (n = 722) were randomly selected from the regional populations. The distribution of apoE phenotypes was significantly different across the four control samples (P = .04), with a higher frequency of the epsilon 4 allele in Belfast (14.3%) than in Toulouse (8.2%). The association of apoE polymorphism with biological measurements was studied in the control groups (n = 640) after men with coronary heart disease or those taking hypolipidemic drugs were omitted, with the apoE3/3 phenotype as a reference after adjustment for concomitant factors. Individuals carrying the epsilon 2 allele had lower levels of plasma cholesterol, low-density lipoprotein cholesterol (LDL-C), and apoB and higher levels of triglycerides, very-low-density lipoprotein cholesterol (VLDL-C), apoC-III, apoE, lipoprotein (Lp) C-III:B, and Lp E:B. However, the effect of the epsilon 2 allele on triglyceride, VLDL-C, apoE, and Lp E:B parameters was heterogeneous across the populations. (ABSTRACT TRUNCATED AT 250 WORDS)
Complexity" Response to Comment on "The Origins of Genome

This copy is for your personal, non-commercial use only. clicking here colleagues, clients, or customers by , you can order high-quality copies for your If you wish to distribute this article to others . here following the guidelines can be obtained by Permission to republish or repurpose articles or portions of articles (this information is current as of August 20, 2010 ): The following resources related to this article are available online at www.sciencemag. org http://www.sciencemag. org/cgi/content/full/306/5698/978b version of this article at: including high-resolution figures, can be found in the online Updated information and services, http://www.sciencemag. org/cgi/content/full/306/5698/978b/DC1 can be found at: Supporting Online Material http://www.sciencemag. org/cgi/content/full/306/5698/978b#otherarticles , 15 of which can be accessed for free: cites 26 articles This article http://www.sciencemag. org/cgi/content/full/306/5698/978b#otherarticles 1 articles hosted by HighWire Press; see: cited by This article has been
Augmenting Collective Adaptation with Simple Process Agents

We have integrated the distributed search of genetic programming based systems with collective memory to form a collective adaptation search method. Such a system significantly improves search as problem complexity is increased. However, there is still considerable scope for improvement. In collective adaptation, search agents gather knowledge of their environment and deposit it in a central information repository. Process agents are then able to manipulate that focused knowledge, exploiting the exploration of the search agents. We examine the utility of increasing the capabilities of the centralized process agents.
Effect of hepatocarcinogens on hepatocyte DNA synthesis and cortisone induction of tryptophan oxygenase.

The purpose of this study was to determine whether increases in adenosine monophosphate (AMP) deaminase activity in precancerous rat liver were correlated with proliferation among hepatic parenchymal cells. Rats were fed thioacetamide or the 3′-methyl- (3′-Me), 4′-methyl- (4′-Me), and 4′-fluoro- (4′-F) derivatives of 4-dimethylaminoazobenzene (DAB). Proliferation among hepatic parenchymal cells was assessed by 2 criteria: DNA synthesis determined autoradiographically or inhibition of cortisone induction of tryptophan oxygenase (E.C.1.13.1.12). Thioacetamide, 3′-Me-DAB, and 4′-F-DAB increased hepatocyte DNA synthesis, inhibited cortisone induction of tryptophan oxygenase, and stimulated hepatic AMP deaminase activity; 4′-Me-DAB did not alter any of these. 4′-F-DAB, when fed in a diet containing moderate riboflavin levels, was not hepatocarcinogenic and did not stimulate hepatocyte DNA synthesis or hepatic AMP deaminase activity. Injection of 3′-Me-DAB or thioacetamide also stimulated hepatocyte DNA synthesis, inhibited tryptophan oxygenase induction, and stimulated AMP deaminase activity. Simultaneous administration of ethionine with thioacetamide inhibited DNA synthesis. AMP deaminase activity was not stimulated appreciably during liver regeneration, and the modest changes recorded could not be readily attributed to hepatocyte DNA synthesis or mitosis. The relationship between changes in cellularity in precancerous liver and stimulated AMP deaminase activity was discussed.
Call U Back: An Agent-Based Infrastructure for Mobile Commerce

Mobile commerce (M-commerce) is an attractive research area due to its relative novelty, rapid growth, and great potential in business applications. Over the last decade, various M-commerce applications have been geared to target mobile users and achieved great success. However, most M-commerce applications are developed by different retailers for special purposes and thus lack fully automated business processes to integrate various existing services. This paper presents a novel infrastructure, Call U Back (CUB), for M-commerce applications. The proposed scheme integrates concepts of agent and contextaware workflow to implement automated trading tasks and compose services dynamically. The context awareness is based on ontology and logic models which derive from a set of descriptive contextual attributes for knowledge sharing and logical inference. Based upon the context-aware workflow analysis, the system will generate automated intelligent agents to conduct commerce transactions on behalf of mobile users. The middleware layer of the CUB server has been implemented. An experimental prototype of the system is under development and testing.
A three-phase PV-pump inverter with maximum power point tracking (MPPT) controller

The objective of this paper presents a photovoltaic (PV) water pumping system with a maximum power point tracking (MPPT). The water pumping system uses a variable speed three-phase induction motor driven a centrifugal pump by the V/f control inverter. By only regulated the photovoltaic voltage, the MPPT algorithm is very simple under different insolation conditions. The experimental results shown the prototype pumping system that can be pumped the water approximately 104,504 liters in 9 hours. Moreover, the photovoltaic voltage is approximately constant under different insolation conditions which guarantee the proposed MPPT algorithm.
Do Social Enterprises Discriminate Less Than For-Profit Organizations? The Influence of Sector and Diversity Policies on Managers’ Prejudice Toward Immigrants

During the past 15 years, discrimination in work settings has become an increasing problem. The social enterprise (SE) and nonprofit literature suggests that these organizations discriminate against workers less frequently than for-profit organizations (FPOs). In the field of social psychology, it has been assumed that a multicultural approach to managing diversity would improve relationships among workers with different ethnic or cultural origins. This study examines the relationships between managers’ attitudes toward immigrants and the organization’s characteristics, namely, organizational multiculturalism, the organization’s sector (FPO or SE), and organization’s mission (i.e., work integration, home care services, and profit making). The survey was conducted among managers of organizations involved in the Belgian service voucher system. The results indicate that managers in work integration SEs are less prejudiced than managers in FPOs and home care services organizations, and that the more the workforce diversity is managed through a multicultural approach, the less prejudiced managers are.
A Framework to Convert XML Schema to ROLAP

Data warehouse provides architecture and tools for business executive to systematically organize, understand and use their data to make strategic decision. On the other hand, XML is used for e-commerce and Internet based application. Since many organizations use web for their business purpose, researches has been done for integrating XML data into data warehouse. This paper illustrates an approach for integrating XML data, modeled by XML schema to its compatible data warehouse based on relational online analytical processing (ROLAP). In this paper, this modeling is performed in three steps. Firstly, a schema tree is constructed from the given XML schema. In the next step, an entity-relationship diagram (ER Diagram) is derived from this schema tree. At the end, dimension tables as well as the corresponding fact table have been identified from the ER Diagram to provide a suitable multidimensional data model for online analytical processing (OLAP). The relationship between the fact tables and dimension tables have been organized in the form of star schema or snowflake schema as required.