Miracle-dz/UniFAR-FTUs huggingface dataset:
Power aware algorithms for provisioning green connections in optical networks

Internet traffic is growing exponentially day by day. Internet consumes a large amount of energy about 1-2% of world's total electricity. One of the challenging constraints for the growth of internet will be its energy consumption. An approach to decrease energy consumption of internet is to deploy optical technologies based on WDM. Power consumption can be minimized by applying power saving strategies to the optical transport layer. In literature, it has been demonstrated that the power consumption in optical networks is lower than other technologies. Various efficient routing algorithms are developed for establishing connections in optical networks in such a way that the power consumption is mmimum. Connections established with minimum energy resources are called green connections. Existing literatures consider only power issues for routing problem. In this paper, power as well as hop counts are jointly considered for routing. Power aware routing algorithms are developed for provisioning green connections in optical networks.
DDSAT: Distributed Dynamic Spectrum Access Protocol Implementation Using GNURadio and USRP

Frequency spectrum is one of the valuable resources in wireless communications. Using cognitive radio, spectrum efficiency will increase by making use of the spectrum holes. Dynamic Spectrum Access techniques allows secondary users to transmit on an empty channel not used by a primary user for a given time. In this paper, a Distributed Dynamic Spectrum Access based TDMA protocol (DDSAT) is designed and implemented on USRP. The proposed protocol performs two main functions: Spectrum Sensing, and Spectrum Management. Spectrum Sensing is performed to find spectrum holes in a co-operative manner using the contributing secondary users. Spectrum Management works distributively on the secondary users to allocate the spectrum holes in a fairly and efficient utilization. The DDSAT protocol is implemented using Software Defined Radio (SDR) and Universal Software Radio Peripheral (USRP). Evaluation and performance tests are conducted to show throughput and fairness of the system.
Large Scale Semi-supervised Linear SVM with Stochastic Gradient Descent

Semi-supervised learning tries to employ a large collection of unlabeled data and a few labeled examples for improving generalization performance, which has been proved meaningful in real-world applications. The bottleneck of exiting semi-supervised approaches lies in over long training time due to the large scale unlabeled data. In this article we introduce a novel method for semi-supervised linear support vector machine based on average stochastic gradient descent, which significantly enhances the training speed of S3VM over existing toolkits, such as SVMlight-TSVM, CCCP-TSVM and SVMlin. We evaluate our method on text categorization and sentiment classification respectively, which indicates its efficiency on large scale semi-supervised tasks.
Indexing with unknown illumination and pose

The task of identifying 3D objects in 2D images is difficult due to variation in objects' appearance with changes in pose and lighting. The task is further complicated by the presence of occlusion and clutter. Shape indexing is a method for rapid association between features identified in an image and their corresponding 3D features stored in a database. Previous indexing methods ignored variations due to lighting, restricting the approach to polyhedral objects. In this paper, we further develop these methods to handle variations in both pose and lighting. We focus on rigid objects undergoing a scaled-orthographic projection and use spherical harmonics to represent lighting. The resulting integrated algorithm can recognize 3D objects from a single input image; furthermore, it recovers the pose and lighting of each familiar object in the given image. The algorithm has been tested on a database of real objects, demonstrating its performance on cluttered scenes under a variety of poses and illumination conditions.
The Medical Image Retrieval Based on the Integration of Corner and Texture Features

This paper presents a medical image retrieval method based on the integration of corner and center local binary pattern (CLBP). The CLBP is adopted to describe the texture feature of the medical image firstly. Based on multi-scale curvature product (MSCP), the interest corners are extracted and then a new method is introduced to describe the shape feature. Then, such features are used together as the index for medical image retrieval. Experiment results show that the presented method not only reflects the texture information very well, but also has a rotating shift invariant feature, and it can improve the precision of medical image retrieval and the recall rate.
A Proposal of the Structural Equation Model for Review of the Effect of Organizational Commitment and Organizational Support on Employee Performance

Bir orgutun rekabet avantaji elde etmesi, ogrenen bir kimlige kavusmasi, cevresine ayak uydurabilmesi hem orgutun calisanlarina verecegi destege hem de calisanlarin sadakatine, performansina, bagliliklarina ve ozverisine baglidir. Bu baglamda calisanlarin kendilerini degerli hissetmesi, isi sahiplenmesi, kalici olmasi ve performanslarini artirmasi icin orgutun destegini arkasinda hissetmesi gerekmektedir. Bu calismanin amaci orgutsel baglilik ve orgutsel destekten olusan orgutsel davranis degiskenlerinin, calisan performansina etkilerini incelemektir. Ust duzey rekabetin bulundugu bankacilik sektorunde calisanlarin yuksek performans gostermeleri ve bulunduklari organizasyonda calismaya devam etmek istemeleri hem kendilerinin hem de organizasyonlarinin basarisini artiracaktir. Arastirmada kullanilan degiskenler ve yapisal esitlik modeli icin ulusal ve uluslararasi literatur taramasi sonucunda; bireysel davranis degiskenlerinden olan orgutsel baglilik ve kurumsal davranis degiskenlerinden olan orgutsel destegin calisan performansi ile olan iliskisinin birlikte ele alindigi bir yapisal esitlik modeli onerilmistir. Alan arastirmasi icin secilen evren, Kahramanmaras’ta faaliyet gosteren 18 bankanin toplam 39 subesinde calisan yaklasik 575 personelden olusmaktadir. Calisilan orneklem ise, analize elverisli 306 anketten olusmaktadir. Ankette, arastirma modelinde yer alan “orgutsel baglilik”, “orgutsel destek” ve “calisan performansi” degiskenlerine iliskin uluslararasi calismalarla gecerliligi ve guvenilirligi onaylanmis olcekler kullanilmistir. Elde edilen veriler isiginda, SPSS ve AMOS programlari kullanilarak arastirma hipotezleri sinanmistir. Arastirma sonucunda “orgutsel baglilik ile calisan performansi arasinda” ve “orgutsel destek ile orgutsel baglilik arasinda” olumlu ve anlamli bir iliski oldugu belirlenmistir. “orgutsel destek ile calisan performansi arasinda” anlamli bir iliski bulunmamistir. Ancak, orgutsel destek ile calisan performansi arasinda orgutsel baglilik degiskeninin araci etkisi oldugu belirlenmistir. Orgutsel destek ve orgutsel baglilik arasinda kabul edilen soz konusu etkinin guclulugu, aracilik etkisinin de gucunu arttirmistir. Bu cercevede, calisanlarin fikirlerinin onemsenmesi ve kendisine isle ilgili veya is disi her konuda destek olunmasi performanslarini artiracaktir. Calisanlarin dusuncelerini ciddiye almak, saglik ve mutluluguna onem vermek, amaclarini ve degerlerini dikkate almak, kasitli olarak yapmadigi hatalarini affetmek ve sorunu oldugunda orgutun kendilerinin yaninda oldugunu hissettirmek hususlari onerilmektedir.
Mucosal Administration of Ag85B-ESAT-6 Protects against Infection with Mycobacterium tuberculosis and Boosts Prior Bacillus Calmette-Guérin Immunity1

We have examined the intranasal administration of a vaccine against Mycobacterium tuberculosis (M.tb) consisting of the mucosal adjuvant LTK63 and the Ag Ag85B-ESAT-6. Vaccination with LTK63/Ag85B-ESAT-6 gave a strong and sustained Th1 response mediated by IFN-γ-secreting CD4 cells, which led to long-lasting protection against tuberculosis, equivalent to that observed with bacillus Calmette-Guérin (BCG) or Ag85B-ESAT-6 in dimethyldioctadecylammonium bromide/monophosphoryl lipid A. Because a crucial element of novel vaccine strategies is the ability to boost BCG-derived immunity, we also tested whether LTK63/Ag85B-ESAT-6 could act as a BCG booster vaccine in BCG-vaccinated mice. We found that vaccinating with LTK63/Ag85B-ESAT-6 strongly boosted prior BCG-stimulated immunity. Compared with BCG-vaccinated nonboosted mice, we observed that infection with M.tb led to a significant increase in anti-M.tb-specific CD4 T cells in the lungs of LTK63/Ag85B-ESAT-6-boosted animals. This correlated with a significant increase in the protection against M.tb in LTK63/Ag85B-ESAT-6-boosted mice, compared with BCG-vaccinated animals. Thus, LTK63/Ag85B-ESAT-6 represents an efficient preventive vaccine against tuberculosis with a strong ability to boost prior BCG immunity.
Fluctuations in the Discrete TASEP with Periodic Initial Configurations and the Airy1 Process

We consider the totally asymmetric simple exclusion process (TASEP) in discrete time with sequential update. The joint distribution of the positions of selected particles is expressed as a Fredholm determinant with a kernel defining a signed determinantal point process. We focus on periodic initial conditions where particles occupy d , d ≥ 2. In the proper large time scaling limit, the fluctuations of particle positions are described by the Airy1 process. Interpreted as a growth model, this confirms universality of fluctuations with flat initial conditions for a discrete set of slopes.
Investigating the Effect of Brand Personality on Customer Satisfaction: Evidence from Iran

One of the main topics in marketing area is customer satisfaction. The literature is full of research in this regard and this term is highly cited in marketing research articles related to consumer behavior. Brand personality is a new term in comparison to customer satisfaction. Despite customer satisfaction which has been in place for more than a decade, brand personality has just been introduced and hence there is a dearth of research in literature for this term. Therefore, the aim of this study is to see what the effect of brand personality on customer satisfaction is. Since one important variable which is highly effective is demographic variables, in this study we will see the effect of this variable as a moderator on the relation between customer satisfaction and brand personality. Results showed that brand personality has a direct effect on customer satisfaction and demographic variable has moderator effect on the relationship between brand personality and customer satisfaction.
CARLA: Combining Cooperative Relaying and Link Adaptation for IEEE 802.11 Wireless Networks

In this paper, we present a novel design named CARLA which combines Cooperative Relaying and Link Adaptation for IEEE 802.11 wireless networks, in order to maximize spectral efficiency and hence improve the throughput of the network. Unlike previous studies assuming that accurate channel information is available for relaying and link adaptation, the novelty of our approach is to use the expected packet transmission time (ETT) and RTS/CTS exchange to estimate the quality and level of contention for the current channel. By taking into account the quality of the direct channel from source to destination and the relay channel between relay and destination, CARLA enables both source and relay terminals to adjust their transmission rates so that not only the reliability of the transmission but also the bandwidth efficiency can be improved, hence fully utilizing the diversity gain. CARLA is a simple, distributed and rate-per-link adaptation protocol requiring no modification on 802.11 PHY and MAC. Simulation results show that CARLA can achieve significant performance improvement in terms of end-to-end throughput and energy efficiency for different network conditions.
The Psychometric Proper ti es of the Inferen ti al Confusion Scale Based in Turkish Pa ti ents with Obsessive-Compulsive Disorder

Objective: Among the influential cognitive factors in obsessive-compulsive disorder (OCD), inferential confusion is a cognitive bias, which is described as the acceptance of possibilities as reality in contrast to sensory information. The present study aimed to determine the role of this construct in a clinical sample, and to test the cross-cultural validity of inferential confusion and to determine the psychometric properties of the Inferential Confusion Scale (ICS) in a Turkish clinical sample.
Doherty Power Amplifiers Using 2nd Generation HVHBT Technology for High Efficiency Basestation Applications

Second generation HVHBT GaAs technology developed for use in wireless basestation applications is shown to be suitable for use in symmetric and asymmetric Doherty efficiency enhancement solutions. Each solution demonstrates the unique high efficiency characteristic of HVHBT GaAs technology where average power efficiencies approaching 60% have been achieved in both configurations. This paper will review recent results achieved using second generation HVHBT technology in two Doherty configurations operating at 28V. First, a symmetric Doherty amplifier exhibiting 350W (55.5dBm) of saturated power with greater than 57% efficiency at 74W (48.7dBm) average output power while achieving -55dBc linearized IM3 products using a two-carrier 101 WCDMA 6.5dB PAR signal. When cascaded with an LDMOS driver, lineup efficiency of 48% was achieved with 46dB gain at 74W (48.7dBm) average output power while maintaining linearity of -55dBc. Second, a symmetric Doherty amplifier exhibiting 550W (57.5dBm) of saturated power achieving greater than 55% efficiency at 128W (51.1dBm) average output power while achieving -55dBc linearized IM3 products using a two-carrier 101 WCDMA 6.5dB PAR signal. Finally, an asymmetric Doherty amplifier exhibiting 425W (56.3dBm) of saturated power with greater than 54% efficiency at 65W (48.2dBm) average output power while achieving -56dBc linearized IM3 products using a two-carrier 101 WCDMA 8.0dB PAR signal.
Empathic Responsiveness of Children and Adolescents with High‐Functioning Autism Spectrum Disorder

Previous studies have shown reduced empathic responsiveness to others' emotions in preschoolers with autism spectrum disorder (ASD) and an intellectual disability. However, age and intelligence may promote children's empathic responsiveness. Therefore, we examined the empathic responsiveness in normally intelligent school‐aged children and adolescents with a clinical diagnosis of ASD (n = 151) and in a typically developing comparison group (n = 50), using structured observations and parent reports. Based on the observations, participants' responses to the emotional displays of an interviewer were surprisingly similar. However, compared with parents from the comparison group, parents of a child with ASD reported significantly fewer empathic responses, particularly when the child received a high score on the Autism Diagnostic Observation Schedule. Even though parents report a reduced empathic responsiveness in school‐aged children and adolescents with ASD, it may be difficult to find these empathic limitations during brief observations in a structured setting. Autism Res 2013, ●●: ●●–●●. © 2013 International Society for Autism Research, Wiley Periodicals, Inc.
Upregulation of Voltage-Gated Calcium Channel Cav1.3 in Bovine Somatotropes Treated with Ghrelin

Activation of the growth hormone (GH) secretagogue receptor (GHS-R) by synthetic GH releasing peptides (GHRP) or its endogenous ligand (Ghrelin) stimulates GH release. Though much is known about the signal transduction underlying short-term regulation, there is far less information on the mechanisms that produce long-term effects. In the current report, using an enzyme-linked immunosorbent assay for GH detection and whole-cell patch-clamp recordings, we assessed the long-term actions of such regulatory factors on voltage-activated Ca2+ currents in bovine somatotropes (BS) separated on a Percoll gradient and detected by immunohistochemistry. After 24 h of treatment with Ghrelin (10 nM) or GHRP-6 (100 nM) enhanced BS secretory activity; GH secretion stimulated by GHS through the activation of GHS-R because treatment with the antagonist of GHS-R (D-Lys3-GHRP-6, 10 μM) blocked the GH secretion, and the effect was dose and time dependent (24, 48, and 72 h). GH secretion stimulated by GHRP-6 was abolished by nifedipine (0.5 μM), a blocker of L-type HVA Ca2+ channels, and KN-62 (10 μM), an inhibitor of Ca2+/CaM-KII. After 72 h in culture, all recorded BS exhibited two main Ca2+ currents: a low voltage-activated (LVA; T-type) and a high voltage-activated (HVA; mostly dihydropyridine-sensitive L-type) current. Interestingly, HVA and LVA channels were differentially upregulated by Ghrelin. Chronic treatment with the GHS induced a significant selective increase on the Ba2+ current through HVA Ca2+ channels, and caused only a small increase of currents through LVA channels. The stimulatory effect on HVA current density was accompanied by an augment in maximal conductance with no apparent changes in the kinetics and the voltage dependence of the Ca2+ currents, suggesting an increase in the number of functional channels in the cell membrane. Lastly, in consistency with the functional data, quantitative real-time RT-PCR revealed transcripts encoding for the Cav1.2 and Cav1.3 pore-forming subunits of L-type channels. The treatment with Ghrelin significantly increased the Cav1.3 subunit expression, suggeting that the chronic stimulation of the GHS receptor with Ghrelin or GHRP-6 increases the number of voltage-gated Ca2+ channels at the cell surface of BS.
Modeling and Scheduling of Flexible Manufacturing System Using Petri Net and Fuzzy MCDM Approach

— This paper deals with modeling of flexible manufacturing systems (FMS) under uncertainties and evaluation of multi criteria decision making approach for online scheduling. To represent uncertain events in FMS, such as failure of machine tools, repair time, and processing time, we develop Stochastic Petri nets for constructing the FMS model. For obtaining an on-line real-time efficient schedule of FMS, we use MCDM approach together with fuzzy logic system for evaluating the reliabilities of machines and the performance of this approach using the FMS simulation proposed in this paper. The method can handle features such as routing flexibility, shared resources and concurrency.
Is the Emerging Non-Farm Market Economy the Route Out of Poverty in Vietnam?

Are the household characteristics that are good for transition to a more diversified market-oriented development process in Vietnam also important for reducing poverty? Or are there tradeoffs? The determinants of both poverty incidence and participation in rural off-farm activities are modeled as functions of household and community characteristics using comprehensive national household surveys for 1993 and 1998. Despite some common causative factors, such as education and region of residence, the processes determining poverty and inhibiting diversification are clearly not the same. Participation in the emerging rural nonfarm market economy will be the route out of poverty for some, but certainly not all, of Vietnam's poor.
Multiple Sequence Alignments with Parallel Computing

The growth of bioinformatics and computational biology industry, multiple sequence alignment (MSA) applications have become an important emerging workload. In spite of the large amount of recent attention given to the MSA software design, there has been little quantitative understanding of the performance of such applications on modern microprocessors and systems. In this paper we try to analyze performance and characteristics of MSA software from the perspective of multicore machines. We use several popular MSA programs employing a wide variety of alignment approaches. The basic workload characteristics and the efficiencies of various multicore machines features are examined . In order to mapping parallelism in multicore machines we try to explore different parallel programming approaches using threads and MPI
The Family of Log-Skew-Normal Alpha-Power Distributions using Precipitation Data

We present a new set of distributions for positive data based on a skewnormal alpha-power (PSN) model including a new parameter which in turn makes the log-skew-normal alpha-power (LPSN) model more flexible than both the log-normal (LN) model and log-skew-normal (LSN) model. The LPSN model contains the LN model and LSN model as special cases. Furthermore, it models positive data with asymmetry and kurtosis larger than the one permitted by the LN distribution. Precipitation data illustrates the usefulness of the LPSN model being less influenced by outliers.
The Structure of Infrared-luminous Galaxies at 100 Microns

We have observed 22 galaxies at 100 μm with the Kuiper Airborne Observatory in order to determine the angular size of their FIR-emitting regions. This one-dimensional array data constitutes the highest spatial resolution ever achieved on luminous galaxies in the far-infrared. Most of these galaxies are very luminous far-infrared sources, with LFIR > 1011 L⊙. We clearly resolved six of these galaxies at 100 μm and have some evidence for extension in seven others. Those galaxies that we have resolved can have little of their 100 μm flux directly emitted by a pointlike active galactic nucleus. Dust heated to ∼40 K by recent bursts of nonnuclear star formation provides the best explanation for their extreme FIR luminosity. In a few cases, heating of an extended region by a compact central source is also a plausible option.
Trauma-related coping self-efficacy: Measurement, predictors and interplay with posttraumatic stress symptoms

Users may download and print one copy of any publication from the public portal for the purpose of private study or research You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal Take down policy If you believe that this document breaches copyright, please contact us providing details, and we will remove access to the work immediately and investigate your claim.
Performance study of a Green Light Optimized Speed Advisory (GLOSA) application using an integrated cooperative ITS simulation platform

This paper proposes a Green Light Optimized Speed Advisory (GLOSA) application implementation in a typical reference area, and presents the results of its performance analysis using an integrated cooperative ITS simulation platform. Our interest was to monitor the impacts of GLOSA on fuel and traffic efficiency by introducing metrics for average fuel consumption and average stop time behind a traffic light, respectively. For gathering the results we implemented a traffic scenario defining a single route through an urban area including two traffic lights. The simulations are varied for different penetration rates of GLOSA-equipped vehicles and traffic density. Our results indicate that GLOSA systems could improve fuel consumption and reduce traffic congestion in junctions.