Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential modulation for amplify-and-forward two-way relaying with carrier offsets

In this paper, differential modulation (DM) schemes, including single differential and double differential, are proposed for amplify-and-forward two-way relaying (TWR) networks with unknown channel state information (CSI) and carrier frequency offsets. Most existing work in TWR assumes perfect channel knowledge at all nodes and no carrier offsets. However, accurate CSI can be difficult to obtain for fast varying channels while increases computational complexity in channel estimation, and commonly existing carrier offsets can greatly degrade the system performance. Therefore, we propose two schemes to remove the effect of unknown frequency offsets for TWR networks, when neither the sources nor the relay has any knowledge of CSI. Simulation results show that the proposed differential modulation schemes are both effective in overcoming the impact of carrier offsets with linear computational complexity.
An inventory of gaseous and primary aerosol emissions in Asia in the year 2000

[1] An inventory of air pollutant emissions in Asia in the year 2000 is developed to support atmospheric modeling and analysis of observations taken during the TRACE-P experiment funded by the National Aeronautics and Space Administration (NASA) and the ACE-Asia experiment funded by the National Science Foundation (NSF) and the National Oceanic and Atmospheric Administration (NOAA). Emissions are estimated for all major anthropogenic sources, including biomass burning, in 64 regions of Asia. We estimate total Asian emissions as follows: 34.3 Tg SO2, 26.8 Tg NOx, 9870 Tg CO2, 279 Tg CO, 107 Tg CH4, 52.2 Tg NMVOC, 2.54 Tg black carbon (BC), 10.4 Tg organic carbon (OC), and 27.5 Tg NH3. In addition, NMVOC are speciated into 19 subcategories according to functional groups and reactivity. Thus we are able to identify the major source regions and types for many of the significant gaseous and particle emissions that influence pollutant concentrations in the vicinity of the TRACE-P and ACE-Asia field measurements. Emissions in China dominate the signature of pollutant concentrations in this region, so special emphasis has been placed on the development of emission estimates for China. China's emissions are determined to be as follows: 20.4 Tg SO2, 11.4 Tg NOx, 3820 Tg CO2, 116 Tg CO, 38.4 Tg CH4, 17.4 Tg NMVOC, 1.05 Tg BC, 3.4 Tg OC, and 13.6 Tg NH3. Emissions are gridded at a variety of spatial resolutions from 1° × 1° to 30 s × 30 s, using the exact locations of large point sources and surrogate GIS distributions of urban and rural population, road networks, landcover, ship lanes, etc. The gridded emission estimates have been used as inputs to atmospheric simulation models and have proven to be generally robust in comparison with field observations, though there is reason to think that emissions of CO and possibly BC may be underestimated. Monthly emission estimates for China are developed for each species to aid TRACE-P and ACE-Asia data interpretation. During the observation period of March/April, emissions are roughly at their average values (one twelfth of annual). Uncertainties in the emission estimates, measured as 95% confidence intervals, range from a low of ±16% for SO2 to a high of ±450% for OC.
Di erentiable Selections of Set Valued Mappings With Application in Stochastic Programming

We consider set valued mappings de ned on a linear normed space with convex closed images in IRn Our aim is to construct selections which are Hadamard directionally di erentiable using some approximation of the mul tifunction The constructions suggested assume existence of a cone approxima tion given by a certain derivative of the mapping The rst one makes use of the properties of Steiner points The notion of Steiner center is generalized for a class of unbounded sets which include the polyhedral sets The second construction de nes a continuous selection through a given point of the graph of the multifunction and being Hadamard directionally di erentiable at that point with derivatives belonging to the corresponding derivative of the multifunction Both constructions lead to a directionally di erentiable Castaing representation of measurable multifunctions with the required di erentiability properties The results are applied to obtain statements about the asymptotic behaviour of mea surable selections of random sets via the delta approach Particularly random sets of this kind build the solutions of two stage stochastic programs
A Fusion of SOM and Fuzzy C-Means for Image Processing

Image segmentation plays a significant role in computer vision. It aims at extracting meaningful objects lying in the image. Generally there is no unique method or approach for image segmentation. In this paper, a simple algorithm for detecting the range and shape of objects in images is described. This image is visually examined for detection and analysis of object. To avoid that, this paper uses computer aided method for segmentation (detection) of objects based on the combination of two algorithms. This method allows the segmentation of objects with accuracy and reproducibility comparable to manual segmentation. In addition, it also reduces the time for analysis. At the end of the process the object is extracted from the image and its exact position and the shape also determined. The object is analyzed based on the amount of area calculated from the cluster. The key concept in this color-based segmentation algorithm with K-means is to convert a given color space image into a gray scale space image and then separate the position of objects from other items of an image by using Kmeans clustering and histogram-clustering.
Optimal pilot spacing and power in rate-adaptive MIMO diversity systems with imperfect transmitter CSI

We analyze and optimize the performance of an adaptive coded modulation system with imperfect channel state information, operating on a multiple-input multiple-output channel where space-time block coding is utilized to exploit spatial diversity and, thereby combat fading in wireless channel communications. The pilot symbol period and the power allocated to pilot and data symbols are optimized in such a way that the average spectral efficiency is maximized. At the same time, the bit error rate is maintained below a desired level. A numerical example is given for independent flat Rayleigh fading subchannels with Jakes spectrum.
Semi-supervised Penalized Output Kernel Regression for Link Prediction

Link prediction is addressed as an output kernel learning task through semi-supervised Output Kernel Regression. Working in the framework of RKHS theory with vector-valued functions, we establish a new representer theorem devoted to semi-supervised least square regression. We then apply it to get a new model (POKR: Penalized Output Kernel Regression) and show its relevance using numerical experiments on artificial networks and two real applications using a very low percentage of labeled data in a transductive setting.
Adapting Workflows Using Generic Schemas: Application to the Security of Business Processes

Existing approaches to the adaptation of workflows over Web services fall short in two respects. First, they only provide, if ever, limited means for taking into account the execution history of a workflow. Second, they do not support adaptations that require modifications not only at the service composition level but also at the levels of interceptors and service implementations. This is particular problematic for the enforcement of security properties over workflows: enforcing authorization properties, for instance, frequently requires execution contexts to be defined and modifications to be applied at all these abstraction levels of Web services. We present two main contributions in this context. First, we introduce workflow adaptation schemas (WAS), a new notion of generic protocol-based workflow adapters. WAS enable the declarative definition of adaptations involving complex service compositions and implementations. Second, we present two real-world security issues related to the use of OAuth 2.0, a recent and widely used framework for the authorization of resource accesses. As we motivate, these security issues require history-based adaptations over different abstraction levels of services. We then show how to resolve these issues using WAS.
Accelerating GPU hardware transactional memory with snapshot isolation

Snapshot Isolation (SI) is an established model in the database community, which permits write-read conflicts to pass and aborts transactions only on write-write conflicts. With the Write Skew anomaly correctly eliminated, SI can reduce the occurrence of aborts, save the work done by transactions, and greatly benefit long transactions involving complex data structures. GPUs are evolving towards a general-purpose computing device with growing support for irregular workloads, including transactional memory. The usage of snapshot isolation on transactional memory has proven to be greatly beneficial for performance. In this paper, we propose a multi-versioned memory subsystem for hardware-based transactional memory on the GPU, with a method for eliminating the Write Skew anomaly on the fly, and finally incorporate Snapshot Isolation with this system. The results show that snapshot isolation can effectively boost the performance of dynamically sized data structures such as linked lists, binary trees and red-black trees, sometimes by as much as 4.5x, which results in improved overall performance of benchmarks utilizing these data structures.
Tuberculous pleurisy is more common in AIDS than in non-AIDS patients with tuberculosis.

OBJECTIVE To investigate the incidence, clinical features, and treatment of tuberculous pleurisy in AIDS patients. METHODS We reviewed all cases of pleural tuberculosis in AIDS patients in South Carolina from 1988 through 1994. Clinical findings, test results, treatment, and outcome were analyzed. MAIN RESULTS Twenty-two (11%) of the 202 AIDS patients with tuberculosis had pleural involvement compared to 6% (169/2,817) pleural involvement in non-AIDS patients (p=0.01). Associated features of AIDS tuberculous pleurisy included substantial weight loss (7.65+/-1.35 kg) and lower lobe infiltrates (12/22; 55%). No difference in pleural fluid characteristics was found when comparing AIDS patients with a serum CD4 count > or =200/microL to patients with CD4 count <200/microL. Two (9%) of the 22 patients died of tuberculosis. Chest radiograph follow-up of 20 patients showed complete resolution in 7, improvement in 10, and no improvement in 3. CONCLUSIONS In South Carolina, pleural involvement is more common in AIDS patients than in non-AIDS patients with tuberculosis. Tuberculous pleurisy has several atypical features in AIDS patients such as substantial weight loss and lower lobe infiltrates. The outcome of treatment is good for most patients.
EEG identification of a localized 1-D neuronal excitation

Albaneze and Monk [1] have demonstrated that it is impossible to identify the three-dimensional support of any primary current living within a conducting medium, from electromagnetic measurements outside the conductor. However, this is not true if the primary current is supported in a subset of dimensionality less than three. In the present report, we demonstrate the truth of this statement by constructing an analytic algorithm that identifies the location, the orientation, and the size of a localized linear distribution of current dipoles within the brain, from a complete knowledge of the electric potential recorded by an electroencephalographer on the surface of the head.
Auditory-visual synaesthesia: investigations using dynamic sounds and spontaneous reports between sleep and wakefulness

Visual images induced by music or other sounds represent a relatively common type of synaesthesia that is fairly well documented in the synaesthesia literature. It sometimes occurs in certain altered states of consciousness and in individuals with (visual) sensory loss in addition to healthy synaesthetes. Furthermore, it has been suggested that there are some common trends between synaesthetes and non-synaesthetes when it comes to matching sounds with colours. Specifically, brighter colours tend to matched with high pitched sounds. Here we report a novel study looking at colours matched to dynamic auditory stimuli. We used stimuli with high/low base pitch, rising/falling pitch and increasing/decreasing spectral brightness. We replicated the finding that brighter colours are chosen for higher pitch sounds. We also found that rising pitch tends to be associated with brighter colours (regardless of average pitch), however, changes in spectral brightness did not affect colour choices. The same pattern of results was obtained for synaesthetes and non-synaesthetes, indicating further similarities between the two groups than previously documented. A second novel observation we have noted concerning auditory-visual synaesthesia is that it may be experienced by non-synaesthetes between sleep and wakefulness, adding to the list of altered states of consciousness in which synaesthetic perception may be encountered.
VERIFICATION OF MERIS LEVEL 2 PRODUCTS: CLOUD TOP PRESSURE AND CLOUD OPTICAL THICKNESS

ﬁscher@zedat.fu-berlin.de1 INTRODUCTIONFor the veriﬁcation of the MERIS cloud products, a number of images above several sites above western Europe has beenanalyzed. The veriﬁcation of the cloud products consists of three independent methods. The most important task duringthe veriﬁcation phase was a manual review to ﬁnd artefacts and non-physical values. Additionally a comparison withcloud top pressures estimated from radiosonde data and a comparison with cloud top pressures from NASA’s MODISMOD06 product have been made. The data which has been studied is sumarized in Tab. 1 and is obtainable at [1]. 2 MERIS CLOUD OPTICAL THICKNESSThe cloud optical thickness is estimated from measurements of MERIS channel 10 at 753.75nm. To account for the non-isotropical reﬂection and transmission properties of clouds the results of radiative transfer simulations have been invertedusing polynomials of the third order. The polynomial coefﬁcients are stored in look up tables at discrete angles of viewingand sun geometry determined by the radiative transfer code. The processor also consideres the surface albedo, if known.It is used for a pre-selection of the appropriate coefﬁcients which are then interpolated to the actual observation and sungeometry of a pixel. The algorithm is described in more detail in the ATBD [6]. 3 MERIS CLOUD TOP PRESSUREFor the retrieval of the cloud top pressure the algorithm uses reﬂected solar radiation within the oxygenA band absorptioncentered at 0.76
Polymorphism of the rs1800896 IL10 promoter gene protects children from post‐bronchiolitis asthma

Viral bronchiolitis is a major cause of hospitalization in infancy, with increased asthma risk in later childhood. However, the principal mechanisms behind post‐bronchiolitic asthma have remained unclear. Previously, different cytokine polymorphisms have been associated with asthma occurrence, but no previous follow‐up study has investigated cytokine polymorphisms in relation to post‐bronchiolitic asthma.
Whole exome sequencing of relapsed/refractory patients expands the repertoire of somatic mutations in diffuse large B‐cell lymphoma

Despite the many efforts already spent to enumerate somatic mutations in diffuse large B‐cell lymphoma (DLBCL), previous whole‐genome and whole‐exome studies conducted on patients of mixed outcomes failed at characterizing the 30% of patients who will relapse or resist current immunochemotherapies. To address this issue, we performed whole‐exome sequencing of normal/tumoral DNA pairs in 14 relapsed/refractory (R/R) patients subclassified by full‐transcriptome arrays (six activated B‐cell like, three germinal center B‐cell like, and five primary mediastinal B‐cell lymphomas), from the LNH‐03 LYSA clinical trial program. Aside from well‐known DLBCL features, gene and pathway level recurrence analyses proposed several interesting leads including TBL1XR1 and activating mutations in IRF4 or in the insulin regulation pathway. Sequencing‐based copy number analysis defined 23 short recurrently altered regions involving genes such as REL, CDKN2A, HYAL2, and TP53. Moreover, it highlighted mutations in genes such as GNA13, CARD11, MFHAS1, and PCLO as associated with secondary variant allele amplification events. The five primary mediastinal B‐cell lymphomas (PMBL), while unexpected in a R/R cohort, showed a significantly higher mutation rate (P = 0.003) and provided many insights on this classical Hodgkin lymphoma related subtype. Novel genes such as XPO1, MFHAS1, and ITPKB were found particularly mutated, along with various cytokine‐based signaling pathways. Among these analyses, somatic events in the NF‐κB pathway were found preponderant in the three DLBCL subtypes, confirming its major implication in DLBCL aggressiveness and pinpointing several new candidate genes. © 2015 Wiley Periodicals, Inc.
Polyphenolic compounds for treating neurodegenerative disorders involving protein misfolding

A diverse group of neurodegenerative diseases are characterized by progressive, age-dependent intracellular formation of misfolded protein aggregates. These include Alzheimer’s disease, Huntington’s disease, Parkinson’s disease and a number of tau-mediated disorders. There is no effective treatment for any of these disorders; currently approved interventions are designed to treat disease symptoms and generally lead to modest modulation of clinical symptoms. None are known to mitigate underlying neuropathologic mechanisms and, thus, it is not unexpected that existing treatments appear ineffective in modulating disease progression. We note that these neurodegenerative disorders all share a common mechanistic theme in that depositions of misfolded protein in the brain is a key molecular feature underlying disease onset and/or progression. While previous studies have identified a number of drugs and nutraceuticals capable of interfering with the formation and/or stability of misfolded protein aggregates, none have been demonstrated to be effective in vivo for treating any of the neurodegenerative disorders. We hereby review accumulating evidence that a select nutraceutical grape-seed polyphenolic extract (GSPE) is effective in vitro and in vivo in mitigating certain misfolded protein-mediated neuropathologic and clinical phenotypes. We will also review evidence implicating bioavailability of GSPE components in the brain and the tolerability as well as safety of GSPE in animal models and in humans. Collectively, available information supports continued development of the GSPE for treating a variety of neurodegenerative disorders involving misfolded protein-mediated neuropathologic mechanisms.
FPGA-BASED SINGLE CHIP CRYPTOGRAPHIC SOLUTION ( U )

(U) ABSTRACT (U) The use of Field Programmable Gate Arrays (FPGAs) in Type I Cryptographic equipment has historically been limited. While FPGA use is allowed, restrictions on how they are used can result in inefficient processing and an increase in system size, weight and power. For example, redundancy and isolation of functionality is required through physically separate devices. This paper introduces new technology that will provide the industry with an FPGA-based single chip cryptographic solution.
The utility of 3 D landmarks for arbitrary pose face recognition

We investigate the utility of 3D facial landmark localisation in addressing the varying pose problem in 3D face recognition. We do not focus on the 3D landmark localisation problem itself, rather, we ask: Given the set of salient landmarks visible at some specific pose, what 3D face recognition performance can we expect, given that statistical training was performed at some other (canonical) pose? We perform standard Eigenface recognition for 3D data over a range of pose variations. Our results indicate that localisation of facial landmarks is useful for pose-unconstrained face recognition although, as expected, recognition performance degrades as rotation away from the canonical training viewpoint increases.
The effect of family of origin on early marriage outcomes: A mixed method approach

9 CHAPTER ONE: INTRODUCTION 11 Rationale for the Current Study 11 Intergenerational Transmission 12 Relationship Quality 14 Interparental Conflict 17 Relationship Skills 18 Conflict Resolution Style 22 The Issue of Gender 24 Dyadic Approach 28 Mixed Methods Approach 33 Hypotheses and Research Questions 34 Hypotheses 34 Research Questions 35 CHAPTER TWO: METHODS 37 Procedures 37 Participants 44 Measures 46 Survey Measures 46 Demographics 46 Parental marital conflict 46 Family of origin conflict 46 Interparental conflict 47 Marital satisfaction 47 Conflict resolution style 48 Semi-Stuctured Interview Measures 48 Genogram 48 Assessment of “change” 49
Discovery of High Confidence Association Rules in Remotely Sensed Images Without Regard for Support 12

Spatial data mining of Remotely Sensed Images (RSI) has become an important field of research as extremely large amounts of data are being collected from remote sources such as the Landsat satellite Thematic Mapper (TM) and other remote imaging systems. Association Rule Mining (ARM) has become an important method for mining large amounts of data in many areas beyond its originally proposed market-basket domain. The popularity of ARM comes from the well-known a-priori algorithm that exploits a user-specified minimum support (called minsup). Rules of interest are defined as only those lying within the set of rules that exceed this support level. To work efficiently, rules of interest need to be restricted to those that occur frequently. While this restriction enables a-priori based data mining to perform efficiently it rules out the discover of an entire class of rules of interest which are pruned for lack of support. Such a class of rules is of interest in applications such as those found in the agricultural domain where a rule of interest might address early insect infestation; a rule with extremely low support but of extremely high interest to a producer. In this paper, we develop a conceptual decision cube called a P-cube that is derived from a P-tree storage of remotely sensed images. This conceptual P-cube is then used to help develop an efficient algorithm for discovering high confidence rules using a precisionhierarchy approach. This approach discovers high confidence rules without concern for 1 Patents are pending on the bSQ and P-tree technology from which the P-cube is derived. 2 This work is partially supported by NSF Grant OSR-9553368, DARPA Grant DAAH04-96-1-0329 and GSA Grant ACT#: K96130308. Discovery of High Confidence Association Rules in Remotely Sensed Images Without Regard for Support Page 2 support. This algorithm does not suffer from the computational explosion inherent in the apriori approach when considering low support threshold. This makes it feasible to discover a wide class of rules normally lost to pruning techniques in the name of efficiency.