Miracle-dz/UniFAR-FTUs huggingface dataset:
Design analysis of InN/InGaN quantum well laser with GaN layers at 1320¿1350 nm wavelength

In this work, a nitride based strained single quantum well laser has been designed and characterized at 1330 nm wavelength. Here, InN has been used as well material and InGaN has been used as barrier material along with GaN as separate confinement heterostructure for better carrier and optical confinement. For the analysis of characteristics of the laser system, 6-bands k.p formalism for wurtzite semiconductor has been solved considering band mixing effect, strain due to lattice mismatch, spontaneous and piezoelectric polarization and carrier screening effects. The optical gain and spontaneous emission rate and also the interband momentum matrix elements have been calculated to analyze the optical properties of the designed laser and a good agreement with previously published works is obtained.
The effect of Zingiber officinale R. rhizomes (ginger) on plasma pro-inflammatory cytokine levels in well-trained male endurance runners

The aim of this study was to investigate the effect of ginger on the concentrations of plasma interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in welltrained male endurance runners. To this end, twenty-eight high-level endurance runners were randomly assigned to two groups (control and experimental). They performed the same weekly training volume for 12 weeks. The Bruce treadmill test was used three days before the start of the 12-week training period and after weeks 6 and 12 to evaluate the physiological effects of training and ginger administration. After completing the first 6-week period of exercise training protocol, two groups received 500 mg capsules of ginger powder and placebo, respectively, three times a day for the second 6-week period. Blood samples were collected before (resting blood sample) and after the Bruce treadmill test. IL-1β, IL-6 and TNF-α were assayed using standard commercial ELISA kits. Two-way repeated measures analysis of variance (ANOVA) was used to determine significant differences between control and experimental plasma IL-6, IL-1β and TNF-α concentration means of pre- and post-test periods. The IL-1β, IL-6 and TNF-α concentrations at the end of week 12/weeks 6 and 12 between two training groups were significantly different (p = 0.01, p = 0.01, and p = 0.01). In the experimental group alone, there were also significant differences in the mean IL-1β, IL-6 and TNF-α concentrations at the end of weeks 6 and 12 (p = 0.01, p = 0.01, and p = 0.01). Our findings indicated that post-exercise plasma elevations of several pro-inflammatory cytokines can be attenuated by a six-week ginger administration period.
Beam tilted base station antenna with electromagnetic gradient surface

A base station antenna for WCDMA band (1.920–2.170 GHz) application utilizing an electromagnetic gradient surface (EGS) is proposed. The EGS is applied as a reflector of 4 × 2 dipole array to tilt the beam with electrically without phase shifters on low-profile structure. Therefore the beam can be tilted with lower complexity, smaller size, and cheaper cost compared to conventional mechanical or electrical beam tilting methods. The EGS reflector is designed to provide 6° downward tilt angle of the main beam. The fabricated antenna exhibits 5.6 tilt angle with gain of 16.9 dBi at 2.045 GHz.
Optimal sensor placement for Doppler-only target tracking: 1D target motion case

This paper studies the optimal sensor placement problem for Doppler-only target tracking. A 1D target motion is considered on a road/line segment and the optimization criterion for sensor placement is selected to be the total position Cramer Rao Lower Bound (CRLB) over the road/line segment. The results obtained using numerical optimization tools are utilized to propose a simple sub-optimal sensor placement strategy with explicit formulae for the sensor positions. The proposed sub-optimal strategy is shown to obtain very close sensor positions and very similar cost values to the optimal strategy. The merits of the proposed sensor placement strategy are illustrated on a simple target tracking example.
Short Term Load Forecasting for Shiraz Region Using Adaptive Back Propagation Neural Network

In this paper, the goal is to develop a model to forecast 24 hours ahead electrical load of Shiraz which located in Iran. To achieve this goal, the adaptive back propagation neural network has been studied. It should be noted that only climate and time factors have been taken into account as input causal factors in load forecasting. This model has been tested on the hourly electrical load data between March 21, 2009 and March 20, 2010 for Shiraz region. Experimental results demonstrate that the proposed model has favorable performance.
A Combined Experimental and Computational Strategy to Define Protein Interaction Networks for Peptide Recognition Modules

Peptide recognition modules mediate many protein-protein interactions critical for the assembly of macromolecular complexes. Complete genome sequences have revealed thousands of these domains, requiring improved methods for identifying their physiologically relevant binding partners. We have developed a strategy combining computational prediction of interactions from phage-display ligand consensus sequences with large-scale two-hybrid physical interaction tests. Application to yeast SH3 domains generated a phage-display network containing 394 interactions among 206 proteins and a two-hybrid network containing 233 interactions among 145 proteins. Graph theoretic analysis identified 59 highly likely interactions common to both networks. Las17 (Bee1), a member of the Wiskott-Aldrich Syndrome protein (WASP) family of actin-assembly proteins, showed multiple SH3 interactions, many of which were confirmed in vivo by coimmunoprecipitation.
Identifying Common Portions between Two Trajectories

1 Introduction Trajectories are functions from a time domain—an interval on the real line—to R d with d > 1, and observed as sequences of points sampled from them. A fundamental problem in analyzing this data is that of identifying common patterns between pairs or among groups of trajecto-ries observed as sequences of sampled points. be two sequences of points in R d , sampled from two trajectories γ 1 and γ 2 defined over the time interval [0, 1]. For simplicity , we assume that P and Q are points sampled from the images of the trajectories and we ignore the temporal component. 1 Since, in practice, the underlying continuous trajectories γ 1 and γ 2 are not known but we observe only the sampled points P and Q, we will work in the discrete setting where we are only concerned with these sample points. In this abstract, we will refer to the discrete sample points P , Q as the input trajectories. We wish to compute correspondences between points belonging to similar portions of these trajectories while distinguishing these portions from the dissimilar ones. The following issues with trajectory sampling must be taken into account when identifying similarity: (i) significantly different sampling rates, (ii) presence of noise/outliers which must be distinguished from dissim-ilarities, and (iii) presence of significant unobserved portions on the trajectories with no sample points. Background. A common choice for measuring trajectory similarity is the Fréchet distance [1] defined as follows. A reparameterization is a continuous non-decreasing surjec-tion α : [0, 1] → [0, 1], such that α(0) = 0 and α(1) = 1. The Fréchet distance Fr(γ 1 , γ 2) is given by:
A draft standard for message passing in a distributed memory environment

This paper describes Message Passing Interface 1 (MPI1), a proposed library interface standard for supporting point-to-point message passing. The intended standard will be provided with Fortran 77 and C interfaces, and will form the basis of a standard high level communication environment featuring collective communication and data distribution transformations. The standard proposed here provides blocking and nonblocking message passing between pairs of processes, with message selectivity by source process and message type. Provision is made for noncontiguous messages. Context control provides a convenient means of avoiding message selectivity conflicts between different phases of an application. The ability to form and manipulate process groups permits task parallelism to be exploited.
A COMPARATIVE STUDY OF THE ACADEMIC STRESS AND DEPRESSION AMONG HIGH SCHOOL GIRL AND BOY STUDENTS

This paper compares the difference between boy and girl high school students of 1st grade to 3rd grade in academic stress and depression. Using a random stratified sampling 120 girl and boy students (60 girls and 60 boys) were selected from 1st grade (n=40), 2nd grade (n=40) and 3rd grade (n=40) high school students. In this study gender and grades have considered as independent variables and academic stress and depression were dependent variables. A scale for assessing academic stress (SAAS, Sinha, Sharma and Mahindra, 2001) and children depression inventory (CDI, Kovacs, 1992) were used for collecting data. To analyze of data statistics such as mean, SD, Pearson's coefficient of correlation and regression homogeneity to test of variance's homogeneity, and multivariate analyze of variance (MANOVA were used). Results showed that the effect of gender on combined dependent variables (academic stress and depression) was statistically significant (Wilk's Lambda=.367; F (12, 103) = 14.81, p=. 000; Eta=. 63); the effect of grade on combined dependent variables was statistically significant (Wilk's Lambda=. 708; F (24, 206) = 1.98, p=. 05; Eta=. 16); The mutual interaction of gender and grades on combined dependent variables was not significant (Wilk's Lambda=.774; F 24, 206= 1.71; p=.272; Eta= .12). The effect of gender on academic stress and its subscales (Wilk's Lambd=.648; F 6, 113=10.23; p<0.05; Eta=.35); and depression and its subscales (Wilk's Lambd=.495; F6, 113=19.22; p<0.05; Eta=.51) was statistically significant. Further the effect of grades on academic stress was significant but the effect of grade on depression was not significant. Finally the study concluded that there was a significant difference between boy and girl students in academic stress and depression.
Digital Picture Schedule : An Everyday Activity sharing Tool for parents of Children with Autism

Autism Spectrum Disorder (ASD) effects communication and social interaction. Parents are responsible for socializing their children and face hurdles when their children are on the autism spectrum. An important aspect of the communication between parent and child is discussing the activities the child performed while in school or daycare. Since picture based learning aids are used in elementary school classrooms for both neurotypical children and children with developmental disabilities we believe there is an opportunity to leverage the use with computing technology capabilities to assist in the communicative relationship between parents and children. Through interviews and focus groups, we have confirmed the need for a communication tool that allows parents to visualize the child’s daily activities outside of the home to prompt the child to engage in conversations about what they did that day. We discuss the design alternatives we considered, and ideas for future work in this domain. General Terms Design, Human Factors, Performance, Experimentation
Designing associative memories implemented via recurrent neural networks for pattern recognition

In this paper a recurrent neural network is used as associative memory for pattern recognition. The goal of associative memory is to retrieve a stored pattern when enough information is presented in the network input. The network is training with twelve bipolar patterns to determine the corresponding weights. The weights are calculated by means of support vector machines training algorithms as the optimal hyperplane and soft margin hyperplane. Once the neural network is trained its performance is evaluated to retrieval stored patterns which correspond to characters encoded as bipolar vectors.
Forecast Combination under Heavy-Tailed Errors

Forecast combination has been proven to be a very important technique to obtain accurate predictions for various applications in economics, finance, marketing and many other areas. In many applications, forecast errors exhibit heavy-tailed behaviors for various reasons. Unfortunately, to our knowledge, little has been done to obtain reliable forecast combinations for such situations. The familiar forecast combination methods, such as simple average, least squares regression or those based on the variance-covariance of the forecasts, may perform very poorly due to the fact that outliers tend to occur, and they make these methods have unstable weights, leading to un-robust forecasts. To address this problem, in this paper, we propose two nonparametric forecast combination methods. One is specially proposed for the situations in which the forecast errors are strongly believed to have heavy tails that can be modeled by a scaled Student’s t-distribution; the other is designed for relatively more general situations when there is a lack of strong or consistent evidence on the tail behaviors of the forecast errors due to a shortage of data and/or an evolving data-generating process. Adaptive risk bounds of both methods are developed. They show that the resulting combined forecasts yield near optimal mean forecast errors relative to the candidate forecasts. Simulations and a real example demonstrate their superior performance in that they indeed tend to have significantly smaller prediction errors than the previous combination methods in the presence of forecast outliers.
The research on SMEs' trade cooperation capacity with Russia in Heilongjiang province

AS the largest province of the Chinese economic and trade cooperation with Russia, the SMEs (Small and Medium Enterprises) of Heilongjiang Province are the main body of the Russian economic and trade cooperation. With the increasingly fierce international competition, The SMEs of Heilongjiang Province need to improve the economic ability and trade cooperation with Russia to gain a competitive advantage in the new domestic and international environment. Taking the SMEs of Heilongjiang Province as the study objects, this paper constructed the assessment system of SMEs in Heilongjiang Province from the industrial structure theory and the enterprise capabilities theory, and then assessed the operating capabilities of object enterprises, according to the results of the evaluation, the proposed recommendations for enterprises and government.
Experiences of people with a personality disorder or mood disorder regarding carrying out daily activities following discharge from hospital

Introduction People with a diagnosed personality or mood disorder can experience challenges to participating in everyday life. Having a relapse of symptoms and an admission to hospital can further disrupt daily life. The aim of this study is to explore the experiences of people with a personality or mood disorder regarding carrying out everyday activities following discharge from hospital. Method Semi-structured interviews were carried out with 16 service users, by a researcher with lived experience of mental health problems and admissions to hospital. Findings Five themes were identified: The cumulative effect of multiple admissions on activities of daily living; the consequences of long admissions on daily living; reduced activities caused by social isolation in the first few months post-discharge; activities that people would like to do better post-discharge from hospital and longer term goals. Conclusion The findings of this study identified challenges people with a personality or mood disorder experience post-discharge from hospital regarding developing a daily routine, managing their home environment and participating in social activities. This indicates the importance of occupational therapy provision following discharge from hospital.
Adaptive independent Metropolis–Hastings

We propose an adaptive independent Metropolis--Hastings algorithm with the ability to learn from all previous proposals in the chain except the current location. It is an extension of the independent Metropolis--Hastings algorithm. Convergence is proved provided a strong Doeblin condition is satisfied, which essentially requires that all the proposal functions have uniformly heavier tails than the stationary distribution. The proof also holds if proposals depending on the current state are used intermittently, provided the information from these iterations is not used for adaption. The algorithm gives samples from the exact distribution within a finite number of iterations with probability arbitrarily close to 1. The algorithm is particularly useful when a large number of samples from the same distribution is necessary, like in Bayesian estimation, and in CPU intensive applications like, for example, in inverse problems and optimization.
What style of leadership is best suited to direct organizational change to fuel institutional diversity in higher education?

Abstract Implementing diversity agendas within decentralized, loosely coupled, and change-resistant institutions such as colleges and universities is a global challenge. A shift in the organizational climate and culture is imperative to produce the change needed in order for a diversity agenda to thrive. Higher education scholars have consistently identified leadership styles as being among the chief contributing factors to successful institutional change, especially as it relates to diversity agenda efforts. This chapter first reviews the literature on forms of diversity agenda, paradigms of change and leadership style and then synthesizes results from 10 cases on proven strategies and offers implications on how different leadership styles can be applied to fuel institutional diversity efforts.
Digital signature protection of the OSPF routing protocol

The routing protocols used to disseminate routing information throughout the Internet are not protected from intruders or faulty router participants. This paper reports on work in progress to protect the OSPF routing protocol through the use of cryptography, specifically, digital signatures. The routing information is signed with an asymmetric cryptographic algorithm, allowing each router recipient to check the source and integrity of the information. This paper discusses the fundamental issues in security of routing protocols, reviews the basics of OSPF operation, describes the proposed design and discusses remaining vulnerabilities.
A Highly Dynamic SSM Source Discovery Protocol

Steven Deering’s multicast communication model offers a powerful and flexible service for group communicating processes. Sending a multidestination datagram with only one local source operation, implicit source discovery for an open group, and logical binding. All theses features without limits on group size and dynamics. This proposition, later called Any Source Multicast (ASM) has not been deployed at large scale on Internet partially because of the unscalability of multicast routing protocols. A new service model but potentially scalable to the whole Internet has been proposed : Source Specific Multicast (SSM). It is less powerful because it needs an explicit source discovery mechanism for receivers. In this paper, we propose and evaluate such a session layer mechanism. This protocol offers the source discovery service missing from source specific multicast routing. We have implemented this protocol, which permits us to evaluate its feasability and scalability.
Assessment of Multi-Mycotoxin Exposure in Southern Italy by Urinary Multi-Biomarker Determination

Human exposure assessment to deoxynivalenol (DON), aflatoxin B1 (AFB1), fumonisin B1 (FB1), zearalenone (ZEA) and ochratoxin A (OTA) can be performed by measuring their urinary biomarkers. Suitable biomarkers of exposure for these mycotoxins are DON + de-epoxydeoxynivalenol (DOM-1), aflatoxin M1 (AFM1), FB1, ZEA + α-zearalenol (α-ZOL) + β-zearalenol (β-ZOL) and OTA, respectively. An UPLC-MS/MS multi-biomarker method was used to detect and measure incidence and levels of these biomarkers in urine samples of 52 volunteers resident in Apulia region in Southern Italy. The presence of ZEA + ZOLs, OTA, DON, FB1 and AFM1 were detected in 100%, 100%, 96%, 56% and 6%, of samples, respectively. All samples contained biomarkers of two or more mycotoxins. The mean concentrations of biomarkers ranged from 0.055 ng/mL (FB1) to 11.89 ng/mL (DON). Urinary biomarker concentrations were used to estimate human exposure to multiple mycotoxin. For OTA and DON, 94% and 40% of volunteers, respectively exceeded the tolerable daily intake (TDI) for these mycotoxins. The estimated human exposure to FB1 and ZEA was largely below the TDI for these mycotoxins for all volunteers.
A New Approach to Objective Evaluation ofPower-and Bandwidth-LimitedIntegrated Communication

Integrated design of digital compression and modulation ooers performance advantages in practical systems over separate optimization. Integrated system design encourages more general compression deenitions. The total digital integrated transmission system is in this article viewed as an analog-to-analog converter with signal compression ability. A new deenition for compression is presented, incorporating the integrated bandwidth reducing ability and error robustness of the communication system's codec and modem. The compression eeciency is found by comparing the integrated system to a pure analog reference system and is a function of the channel noise level and the reconstructed signal quality. To illustrate the principle behind the compression deenition, obtainable compression ratios are provided for an image transmission system example, with subband coding and 64-QAM signalling.
Proton pump inhibitors, genetic polymorphisms and response to clopidogrel therapy

Summary Clopidogrel has become part of the mainstay of therapy for acute coronary syndromes and in patients post stenting. Clopidogrel is a pro drug and is metabolised by liver enzymes, particularly CYP2C19, into its active form. A considerable proportion of patients have a poor response to clopidogrel and this may be due to several factors. Genetic polymorphisms involved in clopidogrel’s absorption, metabolism and activity at the platelet may interfere with its antiplatelet actions. Further, proton pump inhibitors (PPI) may interfere with clopidogrel’s actions by functionally reducing the ability of CYP2C19 to convert clopidogrel to its active metabolite. By attenuating clopidogrel’s actions, both polymorphisms and drug interactions may increase the risk of thrombotic events during clopidogrel therapy. This review will explore the current evidence relating to the association between PPIs, genetic polymorphisms and poor response to clopidogrel. Routine genetic testing cannot be recommended for patients receiving dual antiplatelet therapy (DAPT). However, it may have a role for patients with an episode of stent thrombosis, prior to planned high-risk stenting or major bleeding. Regarding concomitant clopidogrel and PPI therapy, it is recommended that only patients with previous gastrointestinal (GI) bleeding or multiple risk factors for GI bleeding should be prescribed gastroprotection. This is due to the uncertainty surrounding the clinical significance of this interaction given the discordant biochemical and clinical data, conflicting results from observational studies and the limitations of the COGENT study. Pantoprazole seems least likely to interact with clopidogrel and most suitable for use in patients receiving DAPT.