Miracle-dz/UniFAR-FTUs huggingface dataset:
MEASURING THE HYDROGEN GROUND STATE HYPERFINE SPLITTING THROUGH THE π 1 AND σ 1 TRANSITIONS

The ASACUSA collaboration is aiming to measure the ground state hyperfine structure (GSHS) of antihydrogen to test the CPT symmetry in a Rabi like experiment. The GSHS of hydrogen is a very precisely known value. In addition the hyperfine splitting frequency is a small quantity, therefore a comparison with antihydrogen has the potential to yield one of the most precise tests of the CPT symmetry on an absolute energy scale. A good characterization of the experiment’s spectrometry is a premise to achieve a high precision. The high cost and the low production rates of antihydrogen require alternative methods for this characterization and justify the use of matter for such preparations. For this reason the Stefan Meyer Institute (SMI) as part of the ASACUSA collaboration constructed a hydrogen beam experiment. This will help to shorten the time frame needed for the antihydrogen measurements. The main components of the hydrogen-beam setup are: a source of cold, modulated atomic hydrogen, a set of permanent sextupoles for polarization, a cavity to induce the spin flips, McKeehan-like coils to produce a homogeneous external magnetic field, another set of permanent sextupoles for state analysis and a quadropole mass spectrometer as detector. The same cavity is going to be used on the antihydrogen experiment and hence its characterization is highly relevant. Within the scope of this work, the cavity and coils assembly was modified to enable measurements of two transitions. While the σ1-transition has been accessible by the previous setup as well, the π1-transition requires an improved external magnetic field homogeneity of (σB/|B|) ≤ 1000 ppm. Therefore a new shielding as well as new McKeehan-like coils have been constructed. The characterization of these two new pieces of equipment is also part of the present work and a homogeneity of (σB/|B|) ≈ 590 ppm has been verified. Both π1 and σ1 transitions in hydrogen were measured for the first time using an upgraded setup. From these results the GSHS at zero magnetic field are calculated by extrapolation using the π1 or σ1 transitions separately and it will also be calculated using both transitions at the same static magnetic field. The results presented in this work of the GSHS using the π1 extrapolation are the first results ever made using this method. The obtained GSHS result has the value of ν0 = (1420405753 ± 8) Hz using both transitions at the same static magnetic field. For the π1 extrapolation, ν0 = (1420405760±34) Hz. For the σ1 extrapolation, ν0 = (1420405767± 15) Hz.
Radiative lifetime and internal quantum efficiency of silicon nanostructures : Model Calculation

Nanosilicon (nanocrystal and porous) research is gaining tremendous attention in recent years. Improving efficiencies in radiative recombination of nano-scale materials enhance potential applications as optoelectronic devices with new operational capabilities. In this work we investigate the influence of quantum confinement and excitation laser pump flux on the radiative lifetime and internal quantum efficiency of silicon nanocrystals. Our work presents a new phenomenological approach that explain the size and laser pump flux dependence of radiative lifetime and internal quantum efficiency of silicon nanocrystals. To investigate the mechanism of the photoluminescence we perform computer simulation. The results show that, miniaturizing the size and increasing laser pump flux strongly alters radiative lifetime and internal quantum efficiency of silicon nanocrystal. Our results have in well agreement with many other theoretical and experimental findings. Our model confirms that the radiative lifetime and internal quantum efficiency of silicon nanocrystals enhance due to pump flux and quantum confinement.
Gene Expression Studies with DGL Global Optimization for the Molecular Classification of Colon Cancer

The study attempts to analyze multiple sets of genes simultaneously, for an overall global solution to the gene's joint discriminative ability in assigning tumors to known classes. With the workable concepts and methodologies described here an accurate classification of the type and seriousness of cancer can be made. The colon cancer microarray data can be classified 100% correctly without previous knowledge of their classes. The classification processes are automated after the gene expression data being inputted. Instead of examining a single gene at a time, the DGL method can find the global optimum solutions and construct a multi-subsets pyramidal hierarchy class predictor containing up to 23 gene subsets based on a given microarray gene expression data collection within a period of several hours. An automatically derived class predictor makes the reliable cancer classification and accurate tumor diagnosis in clinical practice possible.
A Robust Wireless Sensor Network Localization Algorithm in Mixed LOS/NLOS Scenario

Localization algorithms based on received signal strength indication (RSSI) are widely used in the field of target localization due to its advantages of convenient application and independent from hardware devices. Unfortunately, the RSSI values are susceptible to fluctuate under the influence of non-line-of-sight (NLOS) in indoor space. Existing algorithms often produce unreliable estimated distances, leading to low accuracy and low effectiveness in indoor target localization. Moreover, these approaches require extra prior knowledge about the propagation model. As such, we focus on the problem of localization in mixed LOS/NLOS scenario and propose a novel localization algorithm: Gaussian mixed model based non-metric Multidimensional (GMDS). In GMDS, the RSSI is estimated using a Gaussian mixed model (GMM). The dissimilarity matrix is built to generate relative coordinates of nodes by a multi-dimensional scaling (MDS) approach. Finally, based on the anchor nodes’ actual coordinates and target’s relative coordinates, the target’s actual coordinates can be computed via coordinate transformation. Our algorithm could perform localization estimation well without being provided with prior knowledge. The experimental verification shows that GMDS effectively reduces NLOS error and is of higher accuracy in indoor mixed LOS/NLOS localization and still remains effective when we extend single NLOS to multiple NLOS.
SNAPPI-DB: a database and API of Structures, iNterfaces and Alignments for Protein–Protein Interactions

SNAPPI-DB, a high performance database of Structures, iNterfaces and Alignments of Protein–Protein Interactions, and its associated Java Application Programming Interface (API) is described. SNAPPI-DB contains structural data, down to the level of atom co-ordinates, for each structure in the Protein Data Bank (PDB) together with associated data including SCOP, CATH, Pfam, SWISSPROT, InterPro, GO terms, Protein Quaternary Structures (PQS) and secondary structure information. Domain–domain interactions are stored for multiple domain definitions and are classified by their Superfamily/Family pair and interaction interface. Each set of classified domain–domain interactions has an associated multiple structure alignment for each partner. The API facilitates data access via PDB entries, domains and domain–domain interactions. Rapid development, fast database access and the ability to perform advanced queries without the requirement for complex SQL statements are provided via an object oriented database and the Java Data Objects (JDO) API. SNAPPI-DB contains many features which are not available in other databases of structural protein–protein interactions. It has been applied in three studies on the properties of protein–protein interactions and is currently being employed to train a protein–protein interaction predictor and a functional residue predictor. The database, API and manual are available for download at: .
Dynamic performance of adaptive hysteresis current controller for mains-connected inverter system

In most of the situations, power electronics converters are mainly used as an interfacing device between distributed generation (DG) system and utility grid in order to meet the following objectives: 1) grid synchronization 2) active and reactive power control through voltage and frequency control 3) improvement of power quality (i.e. harmonic elimination) etc. But due to wide variation of the reactive power in the consumers-end, the voltage at the point of common coupling (PCC) is usually affected. In this paper adaptive hysteresis current controller is proposed for inverter-interfaced grid connected system in order to meet the active and reactive power demand during load variations and both can be controlled independently. The proposed controller reduces the current harmonic at PCC considerably. It observes that the adaptive hysteresis current controller can provide the low switching frequency of operation of inverter switches irrespective of load variations and it ensures lower total harmonic distortion (THD). The studied system is modeled and simulated in the MATLAB Simulink environment.
Towards Automatic Translation of Support Verbs Constructions: the Case of Polish robić/zrobić and Swedish göra

Support verb constructions range from idiosyncratic to predictable. Lexical functions provide a solution to translation of idiosyncratic constructions only. Our corpus research aims to contribute to automatic translation of support verb constructions where the verb selects certain semantic groups of collocates, and where novel collocations can be expected. We investigate samples of support verb constructions with Polish robic/zrobic and Swedish gora. Nouns attested on the Internet as objects of these verbs are subdivided into semantic groups. Translation rules are then proposed for each group, and the similarities and differences in the behaviour of the verbs in both languages are discussed.
Macroscopic Equations Governing Noisy Spiking Neuronal Populations with Linear Synapses

Deriving tractable reduced equations of biological neural networks capturing the macroscopic dynamics of sub-populations of neurons has been a longstanding problem in computational neuroscience. In this paper, we propose a reduction of large-scale multi-population stochastic networks based on the mean-field theory. We derive, for a wide class of spiking neuron models, a system of differential equations of the type of the usual Wilson-Cowan systems describing the macroscopic activity of populations, under the assumption that synaptic integration is linear with random coefficients. Our reduction involves one unknown function, the effective non-linearity of the network of populations, which can be analytically determined in simple cases, and numerically computed in general. This function depends on the underlying properties of the cells, and in particular the noise level. Appropriate parameters and functions involved in the reduction are given for different models of neurons: McKean, Fitzhugh-Nagumo and Hodgkin-Huxley models. Simulations of the reduced model show a precise agreement with the macroscopic dynamics of the networks for the first two models.
MUGEN mouse database; Animal models of human immunological diseases

The MUGEN mouse database (MMdb) (www.mugen-noe.org/database/) is a database of murine models of immune processes and immunological diseases. Its aim is to share and publicize information on mouse strain characteristics and availability from participating institutions. MMdb's basic classification of models is based on three major research application categories: Models of Human Disease, Models of Immune Processes and Transgenic Tools. Data on mutant strains includes detailed information on affected gene(s), mutant allele(s) and genetic background (DNA origin, gene targeted, host and backcross strain background). Each gene/transgene index also includes IDs and direct links to Ensembl, ArrayExpress, EURExpress and NCBI's Entrez Gene database. Phenotypic description is standardized and hierarchically structured, based on MGI's mammalian phenotypic ontology terms. Availability (e.g. live mice, cryopreserved embryos, sperm and ES cells) is clearly indicated, along with handling and genotyping details (in the form of documents or hyperlinks) and all relevant contact information (including EMMA and Jax/IMSR hyperlinks where available). MMdb's design offers a user-friendly query interface and provides instant access to the list of mutant strains and genes. Database access is free of charge and there are no registration requirements for data querying.
A mask reuse methodology for reducing system-on-a-chip cost

Today's system-on-a-chip (SoC) design methodology provides an efficient way to develop highly integrated systems on a single chip by utilizing pre-designed intellectual property (IP) or "cores". However, once assembled, the physical design and manufacturing process that follows does not benefit from the reuse of these cores. We propose an alternative mask reuse methodology (MRM) where most cores are provided with hardened layouts, significantly reducing the number of components for chip-level processing and the associated turn-around time. In addition, each core has a pre-verified mask set, which can be re-used to significantly reduce the overall mask cost and mask manufacturing time. Since mask cost and design and verification times are rapidly becoming prohibitive for low or even medium volume ASIC parts, the proposed MRM methodology can help reduce the barrier for ASIC parts. We provide details of the methodology, as well as an assessment of its impact on design time and design cost with an example of a network processor SoC.
Improvement of TCP Congestion Window overLTE-Advanced Networks

Long Term Evolution Advanced (LTE-Advanced) network is the continuation of 3GPP-LTE (3GPP: 3rd Generation Partnership Project) and it targets to advanced develop of the requirements of LTE in terms of throughput and coverage. Then, LTEAdvanced is not new as a radio access technology, but it’s an evolution of LTE to enhance the performance. The direct employment of the existing protocols cannot achieve the requirements of LTE-Advanced due to the large-bandwidth and low-latency links used in this network. Therefore, an enhanced congestion control mechanism is proposed in this article to improve the performance of Transmission Control Protocol (TCP) over LTE-Advanced. The proposed algorithm used a new mechanism based on the available bandwidth of the connection to detect the capacity of network path in order to improve the congestion avoidance mechanism. The work in this paper based on using Network Simulator 2 (NS-2) to model the traffics of LTE-Advanced and tests the proposed mechanism. Keywords—TCP;congestion avoidance, congestion control; LTE; LTE-Advanced; NS-2
The Θ+ (1540) as a heptaquark with the overlap of a pion, a kaon and a nucleon

We study the very recently discovered Θ+ (1540) at SPring‐8, at ITEP and at CLAS‐Thomas Jefferson Lab. We apply the same RGM techniques that already explained with success the repulsive hard core of nucleon‐nucleon, kaon‐nucleon exotic scattering, and the attractive hard core present in pion‐nucleon and pion‐pion non‐exotic scattering. We find that the K − N repulsion excludes the Θ+ as a K − N s‐wave pentaquark. We explore the Θ+ as heptaquark, equivalent to a N + π + K borromean boundstate, with positive parity and total isospin I = 0. We find that the kaon‐nucleon repulsion is cancelled by the attraction existing both in the pion‐nucleon and pion‐kaon channels. Although we are not yet able to bind the total three body system, we find that the Θ+ may still be a heptaquark state.
Send Orders of Reprints at Reprints@benthamscience.org Evolving Perspectives on Lyme Borreliosis in Canada

With cases now documented in every province, Lyme borreliosis (LB) is emerging as a serious public health risk in Canada. Controversy over the contribution of LB to the burden of chronic disease is maintained by difficulty in capturing accurate Canadian statistics, especially early clinical cases of LB. The use of dogs as sentinel species demonstrates that potential contact with Borrelia burgdorferi spirochetes, as detected by C6 peptide, extends across the country. Dissemination of infected ticks by migratory birds and rapid establishment of significant levels of infection have been well described. Canadian public health response has focused on identification of established populations of the tick vectors , Ixodes scapularis and I. pacificus, on the assumption that these are the only important vectors of the disease across Canada. Strains of B. burgdorferi circulating in Canada and the full range of their reservoir species and coinfections remain to be explored. Ongoing surveys and historical records demonstrate that Borrelia-positive Ixodes species are regularly present in regions of Canada that have previously been considered to be outside of the ranges of these species in recent modeling efforts. We present data demonstrating that human cases of LB are found across the nation. Consequently, physician education and better early diagnoses are needed to prevent long term sequelae. An international perspective will be paramount for developing improved Canadian guidelines that recognize the complexity and diversity of Lyme borrelio-sis.
Asthma control, quality of life and successful sputum induction

Introduction Induced sputum is widely used in clinical practice and scientific studies. This technique has become enormously useful in assessment of airway inflammation. However, some asthmatics are unable to expectorate sputum of sufficient quality and quantity necessary for further processing, therefore not providing reliable results. This research study aimed to examine whether asthma control and asthma quality of life influence the results of sputum induction. Material and methods Fourty-seven adult subjects, current non-smokers with symptomatic asthma, were studied. All participants underwent clinical assessment, skin prick testing, spirometry and sputum induction. Before sputum induction, subjects were asked to fill in the Mini Asthma Quality of Life Questionnaire (MiniAQLQ) and Asthma Control Questionnaire (ACQ). Results Twenty-nine (62%) subjects produced sputum eligible for processing. This group had a significantly lower ACQ score (0.83 ±0.65 vs. 1.37 ±0.77; p = 0.02), higher MiniAQLQ total score (5.67 ±0.99 vs. 4.86 ±1.07; p = 0.011), higher MiniAQLQ symptoms domain score (5.54 ±1.13 vs. 4.63 ±1.24; p = 0.013) and higher MiniAQLQ activity limitations domain score (6.08 ±0.92 vs. 5.07 ±1.37; p= 0.014). The noted differences between groups of patients were not only statistically but were clinically important. Conclusions The study results suggest that successful sputum induction may be expected in patients with better asthma control and better quality of life.
Special Issue: OR/MS and E-Business: E-Commerce and Operations Research in Airline Planning, Marketing, and Distribution

Many e-commerce principles were pioneered in the airline industry. These include the first business-to-business electronic information exchange and industrywide electronic marketplace. This environment provided unprecedented opportunity for operations research (OR) modeling. By the mid-1980s airlines used customer shopping data to calibrate traveler-demand-and-choice models, analyzed multichannel product-distribution strategies with simulation, and practiced dynamic pricing through yield management. Airlines continue to derive billions of dollars annually from these and derivative models. The availability of reliable, low-cost communications via the Internet is providing new modeling challenges within the airline industry and is also providing similar opportunities in other industries.
HUMAN RESOURCE COSTING AND ACCOUNTING VERSUS THE BALANCED SCORECARD : A LITERATURE SURVEY OF EXPERIENCE WITH THE CONCEPTS 1

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A Maximum-likelihood Approach

In voting, the joint decision is made based on the agents' preferences. Therefore, in some sense, this means that the agents' preferences are the " causes " of the joint decision. However, there is a different (and almost reversed) point of view: there is a " correct " joint decision, but the agents may have different perceptions (estimates) of what this correct decision is. Thus, the agents' preferences can be viewed as noisy reports on the correct joint decision. Even in this framework, the agents still need to make a joint decision based on their preferences, and it makes sense to choose their best estimate of the correct decision. Given a noise model, one natural approach is to choose the maximum likelihood estimate of the correct decision. The maximum likelihood estimator is a function from profiles to alternatives (more accurately, subsets of alternatives, since there may be ties), and as such is a voting rule (more accurately, a correspondence). This maximum likelihood approach was first studied by Condorcet (1785) for the cases of two and three alternatives. Much later, Young (1995) and Young (1988) showed that for arbitrary numbers of alternatives, the MLE rule derived from Con-dorcet's noise model coincides with Kemeny's rule (Kemeny, 1959). The approach 182
On the Design of a Practical Information-Centric Transport

AbstractA recent chain of exploratory publications proposed information-centric architecturesfor the Internet. The common pitfall of such proposals is the imbalance of upfront costsand immediate bene ts. To address this concern, we focus on prospects of piecemeal adop-tion. We start with the necessary basic primitives of any infocentric architecture, primarilyself-certifying names, to determine what are they sucient for. We de ne natural inter-faces to other parts of the architecture, primarily naming and routing, for which no specialassumptions are made. We de ne a natural separation of infocentric transport and internet-working layers and their message vocabulary, that allows to run our infocentric transportover IP, UDP, TCP, HTTP or entirely IP-free. As a proof of concept, we have implementeda UDP-based transport protocol named swift with per-datagram data integrity checks. Ourarchitecture highly prioritizes modularity and sketches a path for piecemeal adoption whichwe consider a critical enabler of any progress in the eld.Victor Grishchenko, Johan Pouwelse and Henk Sips are employed by Delft Universityof Technology. Flutra Osmani and Raul Jimenez are employed by the Royal Institute ofTechnology, Isafjordsgatan 39, Kista, Sweden, fflutrao, rauljcg@kth.se.
Analysis of the Impact of Sanctions on Systemic Risks for Russian Companies

Governments of the United States and European Union countries as well as some international organizations enforce economic sanctions on some Russian companies and banks in 2014. The sanctions resulted in the weakening of the Russian ruble and led to the ongoing recession of the Russian economy. In this paper we examine the impact of sanctions on systemic risks for some Russian companies using CoVaR, one of the most popular systemic risk measures proposed by M. Brunnermeier and T.Adriany in 2011. The measure provides an opportunity to estimate the mutual influence of certain institutions or the mutual influence of the financial system and a particular institution. The analysis is focused on the static and dynamic models of the CoVaR estimation. The results show that the sanctions has brought some negative effects of an disintegration of financial intermediation both for banks and some companies.