Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Data Gathering with Load Balanced Clustering and Dual Data Uploading in Wireless Sensor Network

The Primary concern in a Wireless Sensor Network is Energy consumption. The main problem in the network is when the data is sent from node to sink, the data will be lost due to polling point problem or low energy of node. Multi sencar technique is used to overcome polling point problem. In this paper, the tradeoff between energy saving and data gathering latency in mobile data gathering by traverse a local data aggregation and the moving length of the SenCar is explained. A three-layer framework is proposed for mobile data collection in WSN, which includes the sensor layer, cluster head layer, and mobile collector ( ie sencar) layer. The framework employs dual mobile collectors. One to collect the information from the cluster head for the normal scenario. The other mobile collector to act when a priority data occurs. By this way the load is balanced between the mobile collectors. In this paper only one mobile collector in active at a time. When the huge data is to be transferred the data is treated as priority data. The other mobile collector comes in to action only when the priority data arises. By this way one mobile collector can be charged, when the other is being used. Thus the energy of sencar is prevented. Also the number of clusters and the number of sensors in the cluster are maintained to minimum by optimal cluster formation.
Modeling Daily Arrivals to a Telephone Call Center

We develop stochastic models of time-dependent arrivals, with focus on the application to call centers. Our models reproduce three essential features of call center arrivals observed in recent empirical studies: a variance larger than the mean for the number of arrivals in any given time interval, a time-varying arrival intensity over the course of a day, and nonzero correlation between the arrival counts in different periods within the same day. For each of the new models, we characterize the joint distribution of the vector of arrival counts, with particular focus on characterizing how the new models are more flexible than standard or previously proposed models. We report empirical results from a study on arrival data from a real-life call center, including the essential features of the arrival process, the goodness of fit of the estimated models, and the sensitivity of various simulated performance measures of the call center to the choice of arrival process model.
Bi-directional buck/boost dc-dc converter with ultra high efficiency based on improved SAZZ topology

An improved bi-directional buck/boost SAZZ topology is proposed in this paper. The improvements are aimed at increasing the total conversion efficiency as well as at enlarging the soft switching operating area and hence improving the overall converter performance. The modifications with respect to the conventional SAZZ topology are: configuration of snubber circuits enhanced by saturable inductors and use of synchronous rectification. The proposed topology is implemented in a 60 kW, 50 kHz converter design. The improved topology reaches conversion efficiencies in the 99 % region in a broad range of operating conditions and output power. In the same time, the improved topology together with an advance structural and thermal converter design result in the power density higher than 40 kW/l.
Efficient Nonparametric Subgraph Detection Using Tree Shaped Priors

Non-parametric graph scan (NPGS) statistics are used to detect anomalous connected subgraphs on graphs, and have a wide variety of applications, such as disease outbreak detection, road traffic congestion detection, and event detection in social media. In contrast to traditional parametric scan statistics (e.g., the Kulldorff statistic), NPGS statistics are free of distributional assumptions and can be applied to heterogeneous graph data. In this paper, we make a number of contributions to the computational study of NPGS statistics. First, we present a novel reformulation of the problem as a sequence of Budget Price-Collecting Steiner Tree (B-PCST) sub-problems. Second, we show that this reformulated problem is NP-hard for a large class of nonparametric statistic functions. Third, we further develop efficient exact and approximate algorithms for a special category of graphs in which the anomalous subgraphs can be reformulated in a fixed tree topology. Finally, using extensive experiments we demonstrate the performance of our proposed algorithms in two real-world application domains (water pollution detection in water sensor networks and spatial event detection in social media networks) and contrast against state-of-the-art connected subgraph detection methods.
Fasting Whole-Body Energy Homeostasis and Hepatic Energy Metabolism in Nondiabetic Humans with Fatty Liver

Background Fatty liver is believed to be sustained by a higher than normal adipose-derived NEFA flux to the liver. Also, hepatic energy metabolism may be a rate-limiting step of intrahepatic fat (IHF) accumulation. Aims To assess whole-body energy metabolism and hepatic high-energy phosphates (HEPs) in individuals with fatty liver. Methods We studied 22 individuals with fatty liver and 22 control individuals matched for anthropometric features by means of (1) hepatic 1H-magnetic resonance spectroscopy (MRS) to measure the IHF content, (2) hepatic 31P-MRS to assess the relative content of HEPs (phosphomonoesters, phosphodiesters, inorganic phosphorus, and ATP), and (3) indirect calorimetry to assess whole-body resting energy expenditure and substrate oxidation. Results Patients with newly diagnosed fatty liver and controls were not different for anthropometric parameters. Based on HOMA2%-S, individuals with fatty liver were more insulin resistant than controls. Resting energy expenditure and the pattern of substrate oxidation were not different between groups. Relative content of HEPs was not different between groups; in particular, the Pi/γ-ATP ratio, the most important signals in terms of monitoring energy homeostasis, was not different even if it was associated with indirect calorimetry-derived parameters of oxidative substrate disposal. Conclusions These data demonstrate that fasting whole-body energy metabolism and the relative content of HEPs in nondiabetic patients with fatty liver are not different than those in controls when they are matched for anthropometric features.
The Role of Lifestyle and Psycho-Social Factors in Predicting Changes in Body Composition in Black South African Women

Background This study aimed to determine whether lifestyle and psycho-social factors determine changes in body composition over 10 years in a population of black African females with a high prevalence of obesity. Materials and Methods Data were collected from 430 women at baseline and 10-year follow-up. Dual energy x-ray absorptiometry-derived body fat mass and fat free soft tissue mass, and simple anthropometric measures were taken at both time points. Data on physical activity (PA), diet, smoking, and alcohol intake were collected at baseline. Body size dissatisfaction and body size discrepancy were determined at baseline using the feel minus ideal (FID) index and the perceived minus actual weight status discrepancy score (PAD), respectively. Results All body composition measurements increased over 10 years (p<0.0005). Two distinct groups of overweight/obese females were identified using PAD and FID: one that was content with their body size and one that wished to be leaner. Vigorous PA at baseline was inversely associated with absolute changes in all measures of adiposity. In subjects who underestimated their body size at baseline (74.0% of the study population) changes in total and peripheral levels of body fat were less than in subjects who correctly identified their body size. In the group that underestimated body size, more women wanted to be leaner than in the group who knew their body size (60.1% vs 47.5%, p<0.05). Conclusions Underestimation of body size is common and is associated with a lower gain in total body adiposity and a prevalent desire to lose weight.
Frequency-domain transient analysis of multitime partial differential equation systems

Multitime partial differential equations (MPDEs) provide an efficient method to simulate circuits with widely separated rates of inputs. This paper proposes a fast and accurate frequency-domain multitime transient analysis method for MPDE systems, which fills in the gap for the lack of general frequency-domain solver for MPDE systems. A block-pulse function-based multidimensional inverse Laplace transform strategy is adopted. The method can be applied to discrete input systems. Numerical examples then confirm its superior accuracy, under similar efficiency, over time-domain solvers.
Ontology Evolution Analysis with OWL-MeT

Works on ontology versioning pay special attention to the logical analysis of ontology evolution. The paper considers extensible declarative approach to ontology change description. Metric temporal description logic with metric temporal modalities “future n” and “past n” and hybrid satisfaction operator @ is proposed as the logical basis for declarative ontology evolution analysis. Underlying time structure assumed to be linear and discrete, which is acceptable for modeling of ontology versions sequence. Introduced is OWLMeT – metric extension of the Web ontology language OWL, which is supported with a reasoning engine under development on the basis of Pellet reasoner.
Discrete Object Representation, Attention Switching, and Task Difficulty in the Parietal Lobe

An important component of perception, attention, and memory is the structuring of information into subsets (“objects”), which allows some parts to be considered together but kept separate from others. Portions of the posterior parietal lobe respond proportionally to the number of objects in the scope of attention and short-term memory, up to a capacity limit of around four, suggesting they have a role in this important process. This study investigates the relationship of discrete object representation to other parietal functions. Two experiments and two supplementary analyses were conducted to evaluate responsivity in parietal regions to the number of objects, the number of spatial locations, attention switching, and general task difficulty. Using transparent motion, it was found that a posterior and inferior parietal response to multiple objects persists even in the absence of a change in visual extent or the number of spatial locations. In a monitoring task, it was found that attention switching (or task difficulty) and object representation have distinct neural signatures, with the former showing greater recruitment of an anterior and lateral intraparietal sulcus (IPS) region, but the latter in a posterior and lateral region. A dissociation was also seen between selectivity for object load across tasks in the inferior IPS and feature or object-related memory load in the superior IPS.
Ultrasonographic Evaluation of Cerebral Arterial and Venous Haemodynamics in Multiple Sclerosis: A Case-Control Study

Objective Although recent studies excluded an association between Chronic Cerebrospinal Venous Insufficiency and Multiple Sclerosis (MS), controversial results account for some cerebrovascular haemodynamic impairment suggesting a dysfunction of cerebral autoregulation mechanisms. The aim of this cross-sectional, case-control study is to evaluate cerebral arterial inflow and venous outflow by means of a non-invasive ultrasound procedure in Relapsing Remitting (RR), Primary Progressive (PP) Multiple Sclerosis and age and sex-matched controls subjects. Material and Methods All subjects underwent a complete extra-intracranial arterial and venous ultrasound assessment with a color-coded duplex sonography scanner and a transcranial doppler equipment, in both supine and sitting position by means of a tilting chair. Basal arterial and venous morphology and flow velocities, postural changes in mean flow velocities (MFV) of middle cerebral arteries (MCA), differences between cerebral venous outflow (CVF) in clinostatism and in the seated position (ΔCVF) and non-invasive cerebral perfusion pressure (CPP) were evaluated. Results 85 RR-MS, 83 PP-MS and 82 healthy controls were included. ΔCVF was negative in 45/85 (52.9%) RR-MS, 63/83 (75.9%) PP-MS (p = 0.01) and 11/82 (13.4%) controls (p<0.001), while MFVs on both MCAs in sitting position were significantly reduced in RR-MS and PP-MS patients than in control, particularly in EDSS≥5 subgroup (respectively, 42/50, 84% vs. 66/131, 50.3%, p<0.01 and 48.3±2 cm/s vs. 54.6±3 cm/s, p = 0.01). No significant differences in CPP were observed within and between groups. Conclusions The quantitative evaluation of cerebral blood flow (CBF) and CVF and their postural dependency may be related to a dysfunction of autonomic nervous system that seems to characterize more disabled MS patients. It's not clear whether the altered postural control of arterial inflow and venous outflow is a specific MS condition or simply an “epiphenomenon” of neurodegenerative events.
Animation on the web: a survey

The main motivation of this paper is to provide a current state and a brief overview of animation on the web. Computer animation is used in many fields and it has seen a lot of development in the recent years. With the widespread use of WebGL and the age of powerful modern hardware available on small devices, 3D rendering on the browser is now becoming commonplace. Computer Animation can be described as the rendering of objects on screen, which can change shape and properties with respect to time. There are many approaches to rendering animation on the web, but none of them yet provide a coherent approach in terms of transmission, compression and handling of the animation data on the client side (browser). And if computer animation has to become more accessible over the web, these challenges need to be addressed in the same "minimalistic manner (requirement wise)" as every other multimedia content has been addressed on the web. We aim to provide an overview of the current state of the art, while commenting on the shortcomings pertaining to current formats/approaches and discuss some of the upcoming standards and trends which can help with the current implementation.
Global Analysis of the General Stress Response ofBacillus subtilis

ABSTRACT Gene arrays containing all currently known open reading frames ofBacillus subtilis were used to examine the general stress response of Bacillus. By proteomics, transcriptional analysis, transposon mutagenesis, and consensus promoter-based screening, 75 genes had previously been described as ςB-dependent general stress genes. The present gene array-based analysis confirmed 62 of these already known general stress genes and detected 63 additional genes subject to control by the stress sigma factor ςB. At least 24 of these 125 ςB-dependent genes seemed to be subject to a second, ςB-independent stress induction mechanism. Therefore, this transcriptional profiling revealed almost four times as many regulon members as the proteomic approach, but failure of confirmation of all known members of the ςB regulon indicates that even this approach has not yet elucidated the entire regulon. Most of the ςB-dependent general stress proteins are probably located in the cytoplasm, but 25 contain at least one membrane-spanning domain, and at least 6 proteins appear to be secreted. The functions of most of the newly described genes are still unknown. However, their classification as ςB-dependent stress genes argues that their products most likely perform functions in stress management and help to provide the nongrowing cell with multiple stress resistance. A comprehensive screening program analyzing the multiple stress resistance of mutants with mutations in single stress genes is in progress. The first results of this program, showing the diminished salt resistance of yjbC and yjbD mutants compared to that of the wild type, are presented. Only a few new ςB-dependent proteins with already known functions were found, among them SodA, encoding a superoxide dismutase. In addition to analysis of the ςB-dependent general stress regulon, a comprehensive list of genes induced by heat, salt, or ethanol stress in a ςB-independent manner is presented. Perhaps the most interesting of the ςB-independent stress phenomena was the induction of the extracytoplasmic function sigma factor ςW and its entire regulon by salt shock.
The performance of the GPSC/MSGC hybrid detector with neon-xenon gas mixtures

The performance for X-ray spectrometry of neon-xenon gas proportional scintillation counters using a CsI-coated microstrip plate in direct contact with the scintillation gas as a VUV photosensor is investigated for different neon-xenon mixtures. At best operation conditions, the detector gain can reach values about 50% higher than those achieved with pure xenon filling. The highest gains and the best energy resolutions are achieved for xenon contents around 40%. However, the achieved energy resolutions are similar to those achieved with pure xenon. As in pure xenon and argon-xenon mixture gas fillings, the detector performance is limited by optical positive feedback resulting from additional scintillation produced in the electron avalanche processes around the MSP anodes. The best energy resolutions are achieved for positive feedback gains in the range of 1.1 to 1.2. The performance achieved with neon-xenon mixtures is inferior to that achieved with argon-xenon mixtures.
Distribution of Malassezia species in patients with psoriasis and healthy individuals in Tehran, Iran

Background: Psoriasis is a non‐contagious disorder that affects the skin as red scaly patches. Although the role of Malassezia species in the pathogenesis of psoriasis is still not fully understood, it is thought that these lipophilic yeasts might be a trigger factor in the exacerbation of psoriatic lesions.
Scyllo‐inositol in normal aging human brain: 1H magnetic resonance spectroscopy study at 4 Tesla

The scyllo‐inositol and myo‐inositol concentrations of 24 normal human subjects were measured in vivo using 1H magnetic resonance spectroscopy at 4 T. Single‐voxel short‐echo (TE = 15 ms) metabolite spectra were collected from the white matter region of the corona radiata. Test–retest studies performed on 10 normal subjects demonstrated coefficient of variation for scyllo‐inositol measurement of 37%, compared with 6% for N‐acetyl aspartate. Comparisons between old and young subjects showed higher concentration of scyllo‐inositol and myo‐inositol in older subjects and a trend for a correlation between scyllo‐inositol and myo‐inositol levels across subjects. Copyright © 2004 John Wiley & Sons, Ltd.
Hidden Markov Random Field Iterative Closest Point

When registering point clouds resolved from an underlying 2-D pixel structure, such as those resulting from structured light and flash LiDAR sensors, or stereo reconstruction, it is expected that some points in one cloud do not have corresponding points in the other cloud, and that these would occur together, such as along an edge of the depth map. In this work, a hidden Markov random field model is used to capture this prior within the framework of the iterative closest point algorithm. The EM algorithm is used to estimate the distribution parameters and the hidden component memberships. Experiments are presented demonstrating that this method outperforms several other outlier rejection methods when the point clouds have low or moderate overlap.
Loss of Notch3 Signaling in Vascular Smooth Muscle Cells Promotes Severe Heart Failure Upon Hypertension

Hypertension, which is a risk factor of heart failure, provokes adaptive changes at the vasculature and cardiac levels. Notch3 signaling plays an important role in resistance arteries by controlling the maturation of vascular smooth muscle cells. Notch3 deletion is protective in pulmonary hypertension while deleterious in arterial hypertension. Although this latter phenotype was attributed to renal and cardiac alterations, the underlying mechanisms remained unknown. To investigate the role of Notch3 signaling in the cardiac adaptation to hypertension, we used mice with either constitutive Notch3 or smooth muscle cell–specific conditional RBPJ&kgr; knockout. At baseline, both genotypes exhibited a cardiac arteriolar rarefaction associated with oxidative stress. In response to angiotensin II–induced hypertension, the heart of Notch3 knockout and SM-RBPJ&kgr; knockout mice did not adapt to pressure overload and developed heart failure, which could lead to an early and fatal acute decompensation of heart failure. This cardiac maladaptation was characterized by an absence of media hypertrophy of the media arteries, the transition of smooth muscle cells toward a synthetic phenotype, and an alteration of angiogenic pathways. A subset of mice exhibited an early fatal acute decompensated heart failure, in which the same alterations were observed, although in a more rapid timeframe. Altogether, these observations indicate that Notch3 plays a major role in coronary adaptation to pressure overload. These data also show that the hypertrophy of coronary arterial media on pressure overload is mandatory to initially maintain a normal cardiac function and is regulated by the Notch3/RBPJ&kgr; pathway.
Metastasis inhibition in breast cancer by targeting cancer cell extravasation

Abstract The spread of cells from primary tumors toward distant tissues and organs, also known as metastasis, is responsible for most cancer-associated deaths. The metastasis cascade comprises a series of events, characterized by the displacement of tumor cells (TCs) from the primary tumor to distant organs by traveling through the bloodstream, and their subsequent colonization. The first step in metastasis involves loss of cell-cell and cell-matrix adhesions, increased invasiveness and migratory abilities, leading to intravasation of TCs into the blood or lymphatic vessels. Stationary TCs must undergo the process of epithelial-mesenchymal transition in order to achieve this migratory and invasive phenotype. Circulating tumor cells that have survived in the circulation and left the blood or lymphatic vessels will reach distant sites where they may stay dormant for many years or grow to form secondary tumors. To do this, cells need to go through the mesenchymal-epithelial transition to revert the phenotype in order to regain epithelial cell-to-cell junctions, grow and become a clinically relevant and detectable tumor mass. This work will review the main steps of the metastatic cascade and describe some strategies to inhibit metastasis by reducing cancer cell extravasation presenting recent studies in the context of breast cancer.
Detecting and segmenting objects for mobile manipulation

This paper proposes a novel 3D scene interpretation approach for robots in mobile manipulation scenarios using a set of 3D point features (Fast Point Feature Histograms) and probabilistic graphical methods (Conditional Random Fields). Our system uses real time stereo with textured light to obtain dense depth maps in the robot's manipulators working space. For the purposes of manipulation, we want to interpret the planar supporting surfaces of the scene, recognize and segment the object classes into their primitive parts in 6 degrees of freedom (6DOF) so that the robot knows what it is attempting to use and where it may be handled. The scene interpretation algorithm uses a two-layer classification scheme: i) we estimate Fast Point Feature Histograms (FPFH) as local 3D point features to segment the objects of interest into geometric primitives; and ii) we learn and categorize object classes using a novel Global Fast Point Feature Histogram (GFPFH) scheme which uses the previously estimated primitives at each point. To show the validity of our approach, we analyze the proposed system for the problem of recognizing the object class of 20 objects in 500 table settings scenarios. Our algorithm identifies the planar surfaces, decomposes the scene and objects into geometric primitives with 98.27% accuracy and uses the geometric primitives to identify the object's class with an accuracy of 96.69%.