Miracle-dz/UniFAR-FTUs huggingface dataset:
STRATAQ: A three-dimensional Chemical Transport Model of the stratosphere

Abstract. A three-dimensional (3-D) Chemical Transport Model (CTM) of the stratosphere has been developed and used for a test study of the evolution of chemical species in the arctic lower stratosphere during winter 1996/97. This particular winter has been chosen for testing the model’s capabilities for its remarkable dynamical situation (very cold and strong polar vortex) along with the availability of sparse chlorine, HNO3 and O3 data, showing also very low O3 values in late March/April. Due to those unusual features, the winter 1996/97 can be considered an excellent example of the impact of both dynamics and heterogeneous reactions on the chemistry of the stratosphere. Model integration has been performed from January to March 1997 and the resulting long-lived and short-lived tracer fields compared with available measurements. The model includes a detailed gas phase chemical scheme and a parameterization of the heterogeneous reactions occurring on liquid aerosol and polar stratospheric cloud (PSC) surfaces. The transport is calculated using a semi-lagrangian flux scheme, forced by meteorological analyses. In such form, the STRATAQ CTM model is suitable for short-term integrations to study transport and chemical evolution related to "real" meteorological situations. Model simulation during the chosen winter shows intense PSC formation, with noticeable local HNO3 capture by PSCs, and the activation of vortex air leading to chlorine production and subsequent O3 destruction. The resulting model fields show generally good agreement with satellite data (MLS and TOMS), although the available observations, due to their limited number and time/space sparse nature, are not enough to effectively constraint the model. In particular, the model seems to perform well in reproducing the rapid processing of air inside the polar vortex on PSC converting reservoir species in active chlorine. In addition, it satisfactorily reproduces the morphology of the continuous O3 decline as shown by the satellite during the investigated period, with a tendency, however, to underestimate the total column values inside the polar vortex during late winter. As possible causes of this model/observation difference we suggest an incorrect estimation of the vertical transport and of the tropospheric contribution. Key words. Atmospheric composition and structure (Middle atmosphere-composition and chemistry) Meterology and atmospheric dynamics (middle atmosphere dynamics)
Image segmentation based on ensemble learning

Image segmentation is an important tool in image processing and can serve as an efficient front end to sophisticated algorithms and thereby simplify subsequent processing. This paper proposes a new method based on ensemble learning. In this method, to eliminate the useless and redundant features, the simulated annealing algorithm is used to select the important features as classifiers. And training set is also selected by a cluster algorithm not only to improve the accuracy of classification but also to reduce the structure of final decision tree. With the important features and representative training set, the decision tree is built. The criterion of this tree is selecting the property which has smallest error rate. Finally, an experiment with aerial image is implemented. And the results demonstrate that our method shows a higher accuracy of segmentation.
Super resolution using variable size block-matching motion estimation with rotation

Motion estimation (ME) for image sequences is one of the important processes in image restoration. Block matching algorithms can be used for local ME. Recently, the variable block size motion estimation (VBS-ME) has been received attention in order to improve the performance of the block matching algorithms. In this paper, we have evaluated variable-sized-block-matching ME with rotation in the registration step. Results of proposed method are compared with exhaustive search (ES) that does not consider rotation and static block size (BS) angle search (AS) that considers rotation. Both peak-signal-to-noise-ratio (psnr) and visual quality are used in comparison of all three methods.
Intrinsic Variability of Ocular Dominance Column Periodicity in Normal Macaque Monkeys

Little is known about intrinsic variation from animal to animal in the periodicity of columnar systems within various regions of the mammalian cerebral cortex. To address this issue, complete mosaics of the ocular dominance columns were reconstructed from flat-mounts of the left and right striate cortex (V1) in six normal adult macaques (Macaca fascicularis). To identify the columns, we enucleated the right eye and subsequently processed striate cortex for cytochrome oxidase (CO) activity. Average column areas for the intact eye and the missing eye were nearly equal, confirming that monocular enucleation in adult macaques produces negligible column shrinkage. The contralateral eye’s columns occupied more territory than the ipsilateral eye’s columns, even in the central visual field representation (0° to 8°), where they predominated by 52 to 48%. The column mosaics showed remarkable variation in periodicity. The number of column pairs along the V1/V2 border ranged from 101 sets in one monkey to 154 sets in another. Average column width along the V1/V2 border ranged between 670 and 395 μm, a nearly twofold difference. The widest columns were found in the foveal representation. This high degree of innate variability should be taken into account when considering the effects of various sensory manipulations (e.g., strabismus, anisometropia), which have been reported to alter the periodicity of ocular dominance columns. We found pronounced intrinsic variation in the width and number of ocular dominance columns in a sample of six M. fascicularis, indicating that the number of hypercolumns within a given cortical area can range widely among normal members of the same species.
Persistent Nodes for Reliable Memory in Geographically Local Networks

© 2 0 0 3 m a s s a c h u s e t t s i n s t i t u t e o f t e c h n o l o g y, c a m b r i d g e , m a 0 2 1 3 9 u s a — w w w. a i. m i t. e d u m a s s a c h u s e t t s i n s t i t u t e o f t e c h n o l o g y — a r t i f i c i a l i n t e l l i g e n c e l a b o r a t o r y @ MIT
ZIKV – CDB: A Collaborative Database to Guide Research Linking SncRNAs and ZIKA Virus Disease Symptoms

Background In early 2015, a ZIKA Virus (ZIKV) infection outbreak was recognized in northeast Brazil, where concerns over its possible links with infant microcephaly have been discussed. Providing a causal link between ZIKV infection and birth defects is still a challenge. MicroRNAs (miRNAs) are small noncoding RNAs (sncRNAs) that regulate post-transcriptional gene expression by translational repression, and play important roles in viral pathogenesis and brain development. The potential for flavivirus-mediated miRNA signalling dysfunction in brain-tissue development provides a compelling hypothesis to test the perceived link between ZIKV and microcephaly. Methodology/Principal Findings Here, we applied in silico analyses to provide novel insights to understand how Congenital ZIKA Syndrome symptoms may be related to an imbalance in miRNAs function. Moreover, following World Health Organization (WHO) recommendations, we have assembled a database to help target investigations of the possible relationship between ZIKV symptoms and miRNA-mediated human gene expression. Conclusions/Significance We have computationally predicted both miRNAs encoded by ZIKV able to target genes in the human genome and cellular (human) miRNAs capable of interacting with ZIKV genomes. Our results represent a step forward in the ZIKV studies, providing new insights to support research in this field and identify potential targets for therapy.
Design of Knowledge Based System for Direct Marketing

- Since recommendation systems have been increasing gradually, it is difficult for decision makers to find the customers which interest them as well as representative lists. How to utilize meaningful information effectively to improve the service quality of recommendation system appears to be very important. The purpose of this paper is to provide recommendation system architecture to promote direct marketing services in electronic commerce. In the proposed architecture, a two-phase data mining process used by association rule and clustering methods is designed to generate a recommendation system. The process considers not only the relationship of a cluster of customers but also the associations among the information accessed. The recommendation supported by the proposed system architecture would be closely served to meet customers’ needs. This paper not only constructs a recommendation system for decision makers to search customers but takes the initiative in finding the most suitable customers for them as well. Furthermore, managers are expected to contact with core customers from a limited budget to maintain and satisfy the requirements along with promoting direct marketing.
A recognition method for continuous gestures with an accelerometer

Along with the spread of smart phones and wearable devices, systems that recognizes gestures such as punch and chop using an accelerometer have recently been attracting a great deal of attention. However, these systems do not consider the situation that gestures are performed continuously from/to other gestures or untrained movements and can not recognize such gestures accurately. This paper proposes a method that recognizes gestures performed continuously without explicit intervals. The proposed method detects segments similar to template data of target gestures and chooses the most likely segment. In order to evaluate the effectiveness of the proposed method, an experiment is conducted with five subjects. The subjects conducted three types of gestures drawing a graphic symbol in the air; circle, triangle, and cross in five kinds of situations, and ten types of gestures drawing a numeric character in the air; zero to nine. The average F-measure of graphic symbol achieved 0.78 and the average F-measure of numerical character achieved 0.79.
Network coding in star networks

We investigate network coding in star networks with multiple unicast sessions. We use entropy arguments to upper bound the simultaneous rates of communication among the different nodes in the network and prove that in many cases, the optimal network code is related to the combinatorial optimization problem of finding the maximum number of edge disjoint cycles in the demand graph of the network. Finally, we propose a polynomial time algorithm with linear binary operations that achieves the capacity in many cases.
Multifrequency Measurements of Dielectric Properties Using a Transmission-Type Overmoded Cylindrical Cavity

Characterization of complex permittivity has been performed using TM0mn modes in an overmoded cylindrical cavity. The Rayleigh-Ritz technique is employed to find a rigorous relationship between the relative permittivity, resonant frequency, and the dimensions of the resonant structure. A functional relationship between the structure's S -parameters and the system's unloaded Q factor is established. Complex permittivities of several materials, including polytetrafluoroethylene, high-density polyethylene, cross-linked polyethylene, and sodium naphthalene treated PTFE, are measured at room temperature. Their accuracy is assessed by comparing the results with those obtained from other well-known techniques. An error analysis is also presented to estimate the errors incurred due to the uncertainties in cavity dimensions, resonant frequency, scattering parameters, and the conductivity of the coating layer. In this measurement, an accuracy of better than ±0.5% is attained in measurement of the relative permittivity, while the uncertainty in the measured loss tangent is within a range of ±6%. For properly chosen sample dimensions, this presented method is examined to be very useful for measurement of the complex permittivity over the widely used microwave frequency range, such as the L-, S-, C-, and X-bands.
DSP based acoustic vehicle classification for multi-sensor real-time traffic surveillance

Vehicles may be recognized from the sound they emit when driving along a road. Characteristic acoustic finger prints and audio features can be used to increase the robustness of existing video based vehicle tracking and classification algorithms. Using this information in a multisensor surveillance system helps to improve various parameters such as recognition rates, detection times and robustness. We propose a two-fold approach, where vehicle detection and classification are handled separately. We demonstrate the feasibility of the proposed method using outdoor audio sequences of traffic situations.
Cognitive Radio System using IEEE 802.11a over UHF TVWS

The FCC is contemplating opening up UHF TVWS for cognitive radios - there is a demand for a Cognitive System that can operate on available channels. In this paper we present the system architecture of a prototype Cognitive Radio System using IEEE 802.11a MAC over UHF TVWS. The cognitive radio network consists of a cognitive access point (that performs in-band and out of band sensing) and Cognitive Mobile Stations. The paper presents the various components of the system and their interactions. The Cognitive Engine we present is designed to be agnostic of the underlying MAC and PHY. To this end, we define an abstraction layer to interface with the MAC. A Geo-location based approach for detecting incumbents like DTV, assisted by spectrum sensing, is proposed. We also propose a Cognitive Engine Protocol for channel resource control between the Cognitive Access Point and Cognitive Stations. Finally, results of the prototyped system are presented.
A Novel SVM for Crack Edge Checking of Coal CT Image

After analyzing the characteristic of ICT (industrial computerized tomography) image and wavelet transformation singularity, an crack edge checking method for coal CT image based on SVM was studied and improved, and applied in crack edge checking of Coal CT image. First we get the direction and approximate bound of the crack using SVM, and then compare the average area grayscale to locate the crack area. At last, we adopt LS-SVM to detect the crack edge, which is processed using polynomial fit to get an accurate, continuous and independent crack edge image. The experiment of Coal CT image rotation validates the robustness of this algorithm, and the comparative experiments with other method prove that the algorithm has strong robustness against noise.
Application of LBS in Mobile Industrial and Commercial Administration Geographic Information System

Location based service (LBS) is applied to mobile industrial and commercial administration GIS (MICA-GIS) in this paper. Firstly, the architecture of MICA-GIS is proposed and its main components are discussed. Moreover, two key technologies, grid based administration and mobile terminal of MICA-GIS, are analyzed. Finally, a conclusion is given.
Optimal control in energy conversion of small wind power systems with permanent-magnet-synchronous-generators

This paper presents the results of experimental investigation of a low-power wind energy conversion system (WECS), based on a permanent-magnet synchronous generator (PMSG) connected directly to the turbine. A development system was built in order to carry out the experiments. Its detailed description is also provided. The development system can work as an autonomous system for remote sites or as a grid-connected system, illustrating the concept of distributed production of electrical energy. It includes a wind turbine simulator, which is speed or torque controlled and offers a "wind shaft", where the static and dynamic characteristics of a turbine are obtained. The wind shaft generator drives a permanent magnet synchronous generator (PMSG). The other components of the hybrid system are: a battery, a classical source and, possibly, a PV source. The hardware/software application is based on the dSPACE system. The experimental results show that the performance of a multi-polar-PMSG-based small wind power system is strongly determined by the generator's behaviour. Two optimal regimes characteristics (ORC) are defined in this paper: the first one represents the mechanical power versus the rotational speed (ORCm) and the second one is the electrical power delivered to a load versus the rotational speed (ORCe). An optimal control loop aiming to maximize the delivered electrical power is designed, namely its reference is computed based on the ORCe. In this way, the global efficiency of the energy conversion is maximized. The effectiveness of the proposed optimal control loop is illustrated by experimental results.
Pavement crack image detection algorithm under nonuniform illuminance

The goal of this paper is to develop an algorithm to automatically detect and classify pavement cracks. Firstly, background subset interpolation method is used to adjust the nonuniform background illumination and decrease the shadows influence. The iterated threshold segmentation method, the closing operation and the sequential labeling of connected components are applied sequentially to segment the crack from the background accurately. Projection feature, total sum of crack pixel and distribution density are selected to classify the cracks. Lastly, the main parameters for crack, such as length, width and area are calculated. The results show that the proposed method is efficient.
Design and performance analysis of a modified outer rotor permanent magnet alternator for low-speed wind turbine

In this paper, the design and analysis of a modified outer rotor PMA has been presented, which increases the efficiency and machine capacity by minimizing the cogging torque. The modified outer rotor type PMA will be suitable for extremely low-speed wind turbine based power generation system. The performances of the machine are analyzed by simulation using ANSOFT MAXWEL software, and the results are compared with the typical PMA model. All the performances are examined using finite element analysis (FEA) method to get higher accuracy in simulation stage.
Determining conserved metabolic biomarkers from a million database queries

MOTIVATION Metabolite databases provide a unique window into metabolome research allowing the most commonly searched biomarkers to be catalogued. Omic scale metabolite profiling, or metabolomics, is finding increased utility in biomarker discovery largely driven by improvements in analytical technologies and the concurrent developments in bioinformatics. However, the successful translation of biomarkers into clinical or biologically relevant indicators is limited. RESULTS With the aim of improving the discovery of translatable metabolite biomarkers, we present search analytics for over one million METLIN metabolite database queries. The most common metabolites found in METLIN were cross-correlated against XCMS Online, the widely used cloud-based data processing and pathway analysis platform. Analysis of the METLIN and XCMS common metabolite data has two primary implications: these metabolites, might indicate a conserved metabolic response to stressors and, this data may be used to gauge the relative uniqueness of potential biomarkers. AVAILABILITY AND IMPLEMENTATION METLIN can be accessed by logging on to: https://metlin.scripps.edu CONTACT siuzdak@scripps.edu SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Physical Activity in Hemodialysis Patients Measured by Triaxial Accelerometer

Different factors can contribute to a sedentary lifestyle among hemodialysis (HD) patients, including the period they spend on dialysis. The aim of this study was to evaluate characteristics of physical activities in daily life in this population by using an accurate triaxial accelerometer and to correlate these characteristics with physiological variables. Nineteen HD patients were evaluated using the DynaPort accelerometer and compared to nineteen control individuals, regarding the time spent in different activities and positions of daily life and the number of steps taken. HD patients were more sedentary than control individuals, spending less time walking or standing and spending more time lying down. The sedentary behavior was more pronounced on dialysis days. According to the number of steps taken per day, 47.4% of hemodialysis patients were classified as sedentary against 10.5% in control group. Hemoglobin level, lower extremity muscle strength, and physical functioning of SF-36 questionnaire correlated significantly with the walking time and active time. Looking accurately at the patterns of activity in daily life, HDs patients are more sedentary, especially on dialysis days. These patients should be motivated to enhance the physical activity.
Arnheim S Principles Of Athletic Training A Competency Based Approach

Thank you very much for reading arnheim s principles of athletic training a competency based approach. Maybe you have knowledge that, people have look hundreds times for their chosen books like this arnheim s principles of athletic training a competency based approach, but end up in infectious downloads. Rather than enjoying a good book with a cup of tea in the afternoon, instead they juggled with some infectious bugs inside their laptop.
Expression Profiling of Calcium Induced Genes in Cultured Human Keratinocytes

Terminal differentiation of skin keratinocytes is a vertically directed multi-step process that is tightly controlled by the sequential expression of a variety of genes. To examine the gene expression profile in calcium-induced keratinocyte differentiation, we constructed a normalized cDNA library using mRNA isolated from these calcium-treated keratinocytes. After sequencing about 10,000 clones, we were able to obtain 4,104 independent genes. They consisted of 3,699 annotated genes and 405 expressed sequence tags (ESTs). Some were the genes involved in constituting epidermal structures and others were unknown genes that are probably associated with keratinocytes. In particular, we were able to identify genes located at the chromosome 1q21, the locus for the epidermal differentiation complex, and 19q13.1, another probable locus for epidermal differentiation-related gene clusters. One EST located at the chromosome 19q13.1 showed increased expression by calcium treatment, suggesting a novel candidate gene relevant to keratinocyte differentiation. These results demonstrate the complexity of the transcriptional profile of keratinocytes, providing important clues on which to base further investigations of the molecular events underlying keratinocyte differentiation.
Uncoupling updating and rebalancing in chromatic binary search trees

In order to gain maximal efficiency of the concurrent use of search trees the number of nodes to be locked at a time should be as small aa possible, and the locks should be released aa soon aa possible. We propose a new rebalancing method for binary search treea that allows rebalancing to be uncoupled from updating, so as to make updating faster. The trees we use are obtained by relaxing the balance conditions of red-black trees. When not involved with updating, the rebalancing task can be performed as a shadow process being active all the time, or it can be performed outside rush hours, at night, for example.