Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN OF A RECONFIGURABLE LOW-NOISE AMPLIFIER IN A SILICON-GERMANIUM PROCESS FOR RADAR APPLICATIONS

ACKNOWLEDGEMENTS I would like to thank Dr. Cressler for his guidance, support, and insight which contributed greatly to this work. He is an outstanding teacher and advisor, and he is always willing to make time to help work through problems. I would like to express my gratitude to the Air Force Research Laboratory for their support and feedback on my research. I would like to also acknowledge Tower Jazz for their help in the fabrication process. I am also thankful for the support of my thesis committee members Dr. John Papapolymerou and Dr. Gregory Durgin. In addition, I would like to thank the SiGe Circuits and Devices Group for all their hard work and for making our research group a productive, but fun team atmosphere. Finally, I would like to thank my friends and family for their unwavering support in my education.
Hybrid Consumption Paths in the Attribute Space: A Model and Application with Scanner Data

This paper presents and estimates a dynamic choice model in the attribute space considering rational consumers. In light of the evidence of several state-dependence patterns, the standard attribute-based model is extended by considering a general utility function where pure inertia and pure variety-seeking behaviors can be explained in the model as particular linear cases. The dynamics of the model are fully characterized by standard dynamic programming techniques. The model presents a stationary consumption pattern that can be inertial, where the consumer only buys one product, or a variety-seeking one, where the consumer shifts among varied products. We run some simulations to analyze the consumption paths out of the steady state. Under the hybrid utility assumption, the consumer behaves inertially among the unfamiliar brands for several periods, eventually switching to a variety-seeking behavior when the stationary levels are approached. An empirical analysis is run using scanner databases for three different product categories: fabric softener, saltine cracker, and catsup. Non-linear specifications provide the best fit of the data, as hybrid functional forms are found in all the product categories for most attributes and segments. These results reveal the statistical superiority of the non-linear structure and confirm the gradual trend to seek variety as the level of familiarity with the purchased items increases.
The Market Value of Information: Some Experimental Results

The authors examine the price and allocation of purchased information and of the underlying asset in eight double-auction asset market experiments. Observed outcomes support fully revealing rational expectations in simple environments in which uninformed traders can easily infer the private information of informed traders but support nonrevealing rational expectations in more complex environments. The private value of information is positive in the more complex (noisy) environments but competition forces the information price to its Nash equilibrium value and the net gain by purchasers is approximately zero. Copyright 1992 by University of Chicago Press.
Galileon as a local modification of gravity

In the Dvali-Gabadadze-Porrati (DGP) model, the "self-accelerating" solution is plagued by a ghost instability, which makes the solution untenable. This fact, as well as all interesting departures from general relativity (GR), are fully captured by a four-dimensional effective Lagrangian, valid at distances smaller than the present Hubble scale. The 4D effective theory involves a relativistic scalar pi, universally coupled to matter and with peculiar derivative self-interactions. In this paper, we study the connection between self-acceleration and the presence of ghosts for a quite generic class of theories that modify gravity in the infrared. These theories are defined as those that at distances shorter than cosmological, reduce to a certain generalization of the DGP 4D effective theory. We argue that for infrared modifications of GR locally due to a universally coupled scalar, our generalization is the only one that allows for a robust implementation of the Vainshtein effect-the decoupling of the scalar from matter in gravitationally bound systems-necessary to recover agreement with solar-system tests. Our generalization involves an internal Galilean invariance, under which pi's gradient shifts by a constant. This symmetry constrains the structure of the pi Lagrangian so much so that in 4D there exist only five terms that can yield sizable nonlinearities without introducing ghosts. We show that for such theories in fact there are "self-accelerating" de Sitter solutions with no ghostlike instabilities. In the presence of compact sources, these solutions can support spherically symmetric, Vainshtein-like nonlinear perturbations that are also stable against small fluctuations. We investigate a possible infrared completion of these theories at scales of order of the Hubble horizon, and larger. There are however some features of our theories that may constitute a problem at the theoretical or phenomenological level: the presence of superluminal excitations; the extreme subluminality of other excitations, which makes the quasistatic approximation for certain solar-system observables unreliable due to Cherenkov emission; the very low strong-interaction scale for pi pi scatterings.
Hydrogen Stark Broadened Brackett lines

Stark-broadened lines of the hydrogen Brackett series are computed for the conditions of stellar atmospheres and circumstellar envelopes. The computation is performed within the Model Microfield Method, which includes the ion dynamic effects and makes the bridge between the impact limit at low density and the static limit at high density and in the line wings. The computation gives the area normalized line shape, from the line core up to the static line wings.
Fast Re-integration of Shadow Free Images

In imaging applications, computation is often carried out in a derivative (gradient) domain. For example, we can at-tenuate small image differences by thresholding the gradi-ent and then reintegrate. Unfortunately, the reintegration is an expensive task. Reintegration is often carried out in 2D (usually using 2D Fourier transform) or through multiple 1D paths as in Retinex. In this paper, we show that using a small number of non-random paths, each of which is a tour the size of the image, is an effective and fast method for reintegration. We apply our method to the problem of reintegrating a shadow free gradient derivative image. Results are com-petitive with those obtained using 2D methods. Yet, the reintegration presented here is an order of magnitude quicker.
Diversity of HIV-1 Subtype B: Implications to the Origin of BF Recombinants

Background The HIV-1 subtype B epidemic in Brazil is peculiar because of the high frequency of isolates having the GWGR tetramer at V3 loop region. It has been suggested that GWGR is a distinct variant and less pathogenic than other subtype B isolates. Methodology/Principal Findings Ninety-four percent of the HIV-1 subtype B worldwide sequences (7689/8131) obtained from the Los Alamos HIV database contain proline at the tetramer of the V3 loop of the env gene (GPGR) and only 0.74% (60/8131) have tryptophan (GWGR). By contrast, 48.4% (161/333) of subtype B isolates from Brazil have proline, 30.6% (102/333) contain tryptophan and 10.5% (35/333) have phenylalanine (F) at the second position of the V3 loop tip. The proportion of tryptophan and phenylalanine in Brazilian isolates is much higher than in worldwide subtype B sequences (chi-square test, p = 0.0001). The combined proportion of proline, tryptophan and phenylalanine (GPGR+GWGR+GFGR) of Brazilian isolates corresponds to 89% of all amino acids in the V3 loop. Phylogenetic analysis revealed that almost all subtype B isolates in Brazil have a common origin regardless of their motif (GWGR, GPGR, GGGR, etc.) at the V3 tetramer. This shared ancestral origin was also observed in CRF28_BF and CRF29_BF in a genome region (free of recombination) derived from parental subtype B. These results imply that tryptophan substitution (e.g., GWGR-to-GxGR), which was previously associated with the change in the coreceptor usage within the host, also occurs at the population level. Conclusions/Significance Based on the current findings and previous study showing that tryptophan and phenylalanine in the V3 loop are related with coreceptor usage, we propose that tryptophan and phenylalanine in subtype B isolates in Brazil are kept by selective mechanisms due to the distinct coreceptor preferences in target cells of GWGR, GFGR and GFGR viruses.
Foreign direct investment and profit outflows: a causality analysis for the Brazilian economy

Most empirical works have focused on the effects of foreign direct investment (FDI) to exports and other economic performance indicators, whereas its impacts to profit outflows has been relatively neglected. This paper investigates the nature of the causal relationship between FDI and profit remittance in Brazil using the Granger causality test procedure developed by Toda and Yamamoto (1995). The findings in this paper indicate that FDI causes profit remittance and emphasize significant adverse long-run effects of FDI attraction policies for the Brazilian economy.
The Blocking Option in Routing Protocols

Routing protocols are designed under the assumption that each node in a network should be able to reach (i.e. send or forward packets to) every other node in the network. Unfortunately, adopting this assumption in a routing protocol does allow adversary nodes to launch spam or DoS attacks against the other nodes in the network. In this paper, we introduce the "blocking option" in routing protocols; this option allows a node u to block a specified set of nodes {v,. ,w} and prevent each of them from reaching node u. It turns out that if node u blocks a large number of nodes, then u may end up blocking other nodes as well. We refer to these unintentionally blocked nodes as blind_to u nodes. Clearly, a node u cannot communicate with its blind nodes in a regular manner. Thus, we extend the routing protocol to allow each node u to communicate with its blind nodes via some special node, called the joint node. To perform its intended function, the joint node needs to be neither blocked by any node nor blind to any node in the network. We give an algorithm for identifying the node that is best suited to be the joint node in a network. Finally, we show, through extensive simulation, that the average number of blind nodes is close to zero when the average number of blocked nodes is small (
How large are economic forecast errors

Opinion about the reliability of economic forecasts ranges widely. Some argue that they are literally worthless, at the same time that most forecasters can point to a sequence of near perfect predictions. How much confidence should one place in economic forecasts? The errors vary with many factors. ; A crucial determinant of the size of forecast errors is the forecast period; some periods are very difficult to predict while others are relatively easy. By far the largest errors were the sustained underestimations of the acceleration of inflation in 1973-75 and again in 1978-80. In addition, variations in the difficulty of predicting different variables can be illustrated by examining the forecasts. The results show drastic differences among variables in the forecasters ability to outperform a naive standard of comparison. Finally, much of the interest in forecast accuracy stems from the wish to know \\"Who is the best forecaster? \\" Even a cursory examination of the information in this article shows that no single forecaster dominates all outliers for all, or even most, of the variables.
file of ‘ Prediction protein functions via downward random walks on a gene ontology ’

random walks on a gene ontology’ Guoxian Yu1,2,∗, Hailong Zhu3,∗, Carlotta Domeniconi and Jiming Liu College of Computer and Information Sciences, Southwest University, Chongqing, China 2 Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, China. 3 Department of Computer Science, Hong Kong Baptist University, Hong Kong Department of Computer Science, George Mason University, VA, USA ∗Contact: gxyu@swu.edu. cn; hlzhu@comp.hkbu. edu.hk August 2, 2015 1 Examples of Missing Functions To better understand the pattern of missing functions of a protein, we separately illustrate the BP GO annotations of Human proteins ALG6 and CLDN16 from an old GO annotation (GOA) file to a recent GOA file in Figure S1. In the figure, GO terms in the yellow boxes not circled by blue eclipses are the available GO annotations of the protein by 2010-01-20, and the GO terms in the yellow box circled by blue eclipses are the appended GO annotations of the protein by 2014-06-09. These appended functions are the missing functions of the protein. From the figure, it is easy to find that the missing functions of a partially annotated protein are the descendants of the terms that already associated with the protein.
Protection from cytomegalovirus after transplantation is correlated with immediate early 1–specific CD8 T cells

T cells are crucial for the control of cytomegalovirus (CMV) in infected individuals. Although CMV-specific T cells can be quantified by various methods, clear correlates of protection from CMV disease have not been defined. However, responses to the pp65 protein are believed to play an important role. Here, the proportions of interferon γ–producing T cells following ex vivo activation with pools of overlapping peptides representing the pp65 and immediate early (IE)-1 proteins were determined at multiple time points and related to the development of CMV disease in 27 heart and lung transplant recipients. Frequencies of IE-1–specific CD8 T cells above 0.2 and 0.4% at day 0 and 2 wk, respectively, or 0.4% at any time during the first months discriminated patients who did not develop CMV disease from patients at risk, 50–60% of whom developed CMV disease. No similar distinction between risk groups was possible based on pp65-specific CD8 or CD4 T cell responses. Remarkably, CMV disease developed exclusively in patients with a dominant pp65-specific CD8 T cell response. In conclusion, high frequencies of IE-1 but not pp65-specific CD8 T cells correlate with protection from CMV disease. These results have important implications for monitoring T cell responses, adoptive cell therapy, and vaccine design.
THE Ge-Se-Ga GLASSES

To order the complete compilation report, use: ADA398590 The component part is provided here to allow users access to individually authored sections f proceedings, annals, symposia, etc. However, the component should be considered within [he context of the overall compilation report and not as a stand-alone technical report. Optical properties of the glasses from the systems with a constant ratio of Ge/Se and different concentrations of gallium are investigated. The spectral dependence of the absorption coefficient cx, is calculated from transmission spectra. The optical band gap, Eg 4 , found to increase with the addition of gallium. This variation is explained by the increase of the average bond energy that occurs with the addition of Ga into the alloys. The optical constants, were also calculated from the transmission spectra, using a method proposed by Swanepoel.
Distributed Decision Tree

Decision Tree is a tree-structured plan of a set of attributes to test in order to predict the output. MapReduce and Spark is a programming model used for processing data on a distributed file system. In this paper, MapReduce and Spark implementation of Decision Tree is named as Distributed Decision Tree (DDT) and Spark Tree (ST) respectively. Decision Tree (DT), Ensemble of Trees (BT), DDT and ST are compared over accuracy, size of tree and number of leaves of tree(s) generated. DDT and ST is empirically evaluated over 10 selected datasets. Using DDT, size of tree is reduced by 71% and 82% as compared to DT and BT respectively. In case of ST size of tree is reduced by 48% and 67% as compared to DT and BT. Number of leaves is reduced by 70% and 81% with respect to DT and BT, respectively using DDT. Whereas, it is reduced by 45% and 65% with respect to DT and BT in case of ST. We evaluated DDT and ST using Yahoo! Webscope dataset. Our evaluation shows improvement in accuracy as well as reduction in size of tree and number of leaves. Hence, DDT and ST outperformed DT and BT with respect to size of tree and number of leaves with adequate classification accuracy.
Adaptive Source-Level Data Assignment to Dual Memory Banks

Dual memory banks provide extra memory bandwidth to DSP applications and enable simultaneous access to two operands if the data is partitioned appropriately. Fully automated and compiler integrated approaches to data partitioning and memory bank assignment have, however, found little acceptance by DSP software developers. In this article we present a novel source-level approach that is more programmer friendly. Our scheme is based on soft graph coloring and highly adaptive heuristics generated by genetic programming. We have evaluated our scheme on an Analog Devices TigerSHARC TS-101 DSP and achieved speedups of up to 57% on 13 UTDSP benchmarks.
CorrectDB: SQL Engine with Practical Query Authentication

Clients of outsourced databases need Query Authentication (QA) guaranteeing the integrity (correctness and completeness), and authenticity of the query results returned by potentially compromised providers. Existing results provide QA assurances for a limited class of queries by deploying several software cryptographic constructs. Here, we show that, to achieve QA, however, it is significantly cheaper and more practical to deploy server-hosted, tamper-proof co-processors, despite their higher acquisition costs. Further, this provides the ability to handle arbitrary queries. To reach this insight, we extensively survey existing QA work and identify interdependencies and efficiency relationships. We then introduce CorrectDB, a new DBMS with full QA assurances, leveraging server-hosted, tamper-proof, trusted hardware in close proximity to the outsourced data.
Clinical, Functional, and Biological Correlates of Cognitive Dimensions in Major Depressive Disorder – Rationale, Design, and Characteristics of the Cognitive Function and Mood Study (CoFaM-Study)

Cross-sectional and longitudinal studies exploring clinical, functional, and biological correlates of major depressive disorder are frequent. In this type of research, depression is most commonly defined as a categorical diagnosis based on studies using diagnostic instruments. Given the phenotypic and biological heterogeneity of depression, we chose to focus the phenotypic assessments on three cognitive dimensions of depression including (a) cognitive performance, (b) emotion processing, and (c) social cognitive functioning. Hence, the overall aim of the study is to investigate the long-term clinical course of these cognitive dimensions in depression and its functional (psychosocial) correlates. We also aim to identify biological “genomic” correlates of these three cognitive dimensions of depression. To address the above overall aim, we created the Cognition and Mood Study (CoFaMS) with the key objective to investigate the clinical, functional, and biological correlates of cognitive dimensions of depression by employing a prospective study design and including a healthy control group. The study commenced in April 2015, including patients with a primary diagnosis of a major depressive episode of major depressive disorder or bipolar disorder according to DSM-IV-TR criteria. The assessments cover the three cognitive dimensions of depression (cognitive performance, emotion processing, and social cognition), cognitive function screening instrument, plus functional scales to assess general, work place, and psychosocial function, depression symptom scales, and clinical course of illness. Blood is collected for comprehensive genomic discovery analyses of biological correlates of cognitive dimensions of depression. The CoFaM-Study represents an innovative approach focusing on cognitive dimensions of depression and its functional and biological “genomic” correlates. The CoFaMS team welcomes collaborations with both national and international researchers.
Stochastic Fairness Queuing

Fairness queuing has recently been proposed as an e ective way to insulate users of large computer communication datagram networks from congestion caused by the activities of other (possibly ill-behaved) users. Unfortunately, fair queuing as proposed by Shenker et al. [DKS89] requires that each conversationz be mapped into its own queue. While there are many known methods of implementing this type of mapping, they are relatively slow, requiring numerous memory references, and thus do not lend themselves to a software or rmware implementation capable of operating in high-speed networks. This paper presents a class of algorithms collectively called \stochastic fairness queuing" that are probabilistic variants of fair queuing. These algorithms do not require an exact mapping, and thus are suitable for high-speed software or rmware implementation. Furthermore, these algorithms span a broad range of CPU, memory, and fairness tradeo s. zA \conversation" consists of all packets with a given source-destination address pair. Input Packets Distribute By Address Pair ---FCFS Queue FCFS Queue FCFS Queue sss FCFS Queue ----? Output Packets Figure 1: Fairness Queue
How Real is Really? A Perceptually Motivated System for Quantifying Visual Realism in Digital Images

Contemporary video games are generally designed with the aim of engendering a state of immersion in their players. A sense of 'presence' is considered to be a prerequisite of total immersion, the ultimate level of immersion, and can be directly related to the degree of realism in the simulation presented in a videogame. However, continuously increasing the degree of visual realism in an image could cause adverse effects such as fault amplification and more importantly, emotions like fear and dread of the uncanny. It can also substantially raise the development costs of a game. Consequently, videogame developers would benefit greatly from knowing the threshold beyond which increased realism is counter-productive. This paper details the development of an image processing system that measures the degree of realism of an image using three methods - gradient variance, color variance and shadow softness - derived from existing theories and practices in perceptual psychology, photoforensics and image processing. It then discusses testing of the system on a variety of photographic and video game images.