Miracle-dz/UniFAR-FTUs huggingface dataset:
Symptoms of Depression in Adolescents Examining the psychometric properties of a Norwegian translation of the Short Mood and Feelings Questionnaire

versus concrete rumination on problem solving in depression. Emotion 5, 319–328. doi:10.1037/1528-3542.5. 3.319 Weiss, B. , & Garber, J. (2003). Developmental differences in the phenomenology of depression. Development and Psychopathology, 15(02), 403-430. doi:10.1017/s0954579403000221 Wichstrom, L. , (1999). The emergence of gender difference in depressed mood during adolescence: The role of intensified gender socialization. Develomental Psychology, 35, p. 232–45. doi:10.1037/0012-1649.35. 1.232 World Health Organization (1992). The ICD-10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines. Geneva: World Health
Stereotactic radiosurgery for acoustic neuromas.

In a recent issue of theArchives, Brackmann and Kwatler 1 described an alternative treatment of acoustic tumors that they termed stereotactic radiation therapy . As the authors are historically and linguistically incorrect, in this Commentary we hope to provide additional insight into the current role of stereotactic radiosurgery with the use of the gamma knife as an alternative to microsurgery for patients with acoustic neuromas. This is important, since more than 500 patients with acoustic neuromas have been treated at stereotactic radiosurgical gamma knife centers in Sweden, Argentina, England, and the United States. By the mid-1990s, six additional US neurosurgical centers will be performing gamma knife radiosurgery for a wide variety of intracranial vascular malformations and brain tumors. The role of radiosurgery in the treatment of acoustic neuromas has been analyzed extensively, and its expanding role now offers patients with acoustic neuromas a safe and effective alternative to microsurgical removal.
A fully integrated CMOS 900 MHz LNA utilizing monolithic transformers

This fully-integrated 900MHz CMOS LNA uses monolithic spiral transformers that provide higher performance than monolithic inductors in a fully-differential LNA circuit. On-chip spiral transformers accomplish input and output tuning, and no off-chip components are needed. A bias current reuse technique reduces power dissipation. Process-, voltage-, and temperature-tracking biasing techniques are also used.
Learned Features are Better for Ethnicity Classification

Abstract Ethnicity is a key demographic attribute of human beings and it plays a vital role in automatic facial recognition and have extensive real world applications such as Human Computer Interaction (HCI); demographic based classification; biometric based recognition; security and defense to name a few. In this paper, we present a novel approach for extracting ethnicity from the facial images. The proposed method makes use of a pre trained Convolutional Neural Network (CNN) to extract the features, then Support Vector Machine (SVM) with linear kernel is used as a classifier. This technique uses translational invariant hierarchical features learned by the network, in contrast to previous works, which use hand crafted features such as Local Binary Pattern (LBP); Gabor, etc. Thorough experiments are presented on ten different facial databases, which strongly suggest that our approach is robust to different expressions and illuminations conditions. Here we consider ethnicity classification as a three class problem including Asian, African-American and Caucasian. Average classification accuracy over all databases is 98.28%, 99.66% and 99.05% for Asian, African-American and Caucasian respectively. All the codes are available for reproducing the results on request.
A Marginal Equivalent Decomposition Method and Its Application to Multi-Area Optimal Power Flow Problems

This paper presents a “marginal equivalent” decomposition algorithm that partitions a linear programming problem into subproblems and coordinates their solutions by exchanging the information of free variables and binding constraints. Convergence of the algorithm is proven. The method is applied to a multi-area optimal power flow problem in a market environment. Numerical testing of a large-scale two-area system demonstrates the effectiveness of the method.
Hyperhomocyst(e)inaemia: an independent risk factor for intermittent claudication

Abstract. The aim of this study was to test the question of hyperhomocyst(e)inaemia as a risk factor for intermittent claudication (IC) independent of other important risk factors for peripheral atherosclerotic disease, such as smoking, hypertension, diabetes mellitus, hypercholesterolaemia, hypertriglyceridaemia, low levels of high‐density‐lipoprotein (HDL) cholesterol and age. The study population was recruited from an epidemiological study in LinkÖping County, Sweden, where all middle‐aged men (n = 15253, 45–69 years of age) were screened for IC. Seventy‐eight subjects with verified IC and 98 healthy sex‐ and age‐matched controls were randomly selected. Plasma levels of homocyst(e)ine (including the sum of free and bound forms of homocysteine and their disulphide oxidation products, homocystine, and homocysteine‐cysteine mixed disulphide) were significantly higher (16.74 ± 5.45 μmol l−1, mean value ± SD, P = 0.0002) in IC subjects than in controls (13.80 ± 3.21 μmol l−1), with 23% of the claudicants above the 95th percentile for controls. Stepwise logistic regression analysis revealed that the difference in plasma homocyst(e)ine was independent of the other above‐mentioned risk factors. Moreover, the elevation of plasma homocyst(e)ine in claudicants was mainly confined to subjects with serum folate levels of < 11.0 nmol l−1. The results suggest that folic acid supplementation should be tried in IC subjects with hyperhomocyst(e)inaemia.
Optimal Design for Multiple Variable Steam Temperature System Based on Auto Disturbance Rejection Control

The multi-variable reheat steam temperature process with steam-steam heat exchanger in thermal power generation units is a long time-delay, coupled multi-variable system with variable parameters. Thus, the related gain matrix method is applied in the decoupling analysis and the auto disturbance rejection control (ADRC) is used in the design of the controller. However, there are so many parameters that should be tuned as for auto disturbance rejection control. Moreover, without fixed method, tuning process and effects depend on experience. Therefore, it is necessary to optimize these parameters. In optimization theory, the quantum particle swarm optimization (QPSO) adopts coding mechanism of probability amplitudes to expand the traversal capability of solution space, but the ability of searching global optimal value depends greatly on the choice of initial parameters. In addition, it is easy to get into the local optimum and to be premature convergence. In order to solve problems above, firstly, chaotic sequences are used to initialize the origin angle position of particles; secondly, mutation algorithm is introduced which can effectively increase diversity of population, and also can avoid premature convergence. The test results of function optimization show that the proposed algorithm has better optimized effects. This new kind of quantum particle swarm optimization proposed in this paper is used to optimize parameters of auto disturbance rejection control and applied to a multi-variable coupled process with steam-steam heat exchanger in a domestic coal-fired power generation unit. Computer simulation results show that the control strategy is effective. The control algorithm has merits of simple structure, strong anti-interfere ability, and is easy to realize in Distributed Control System (DCS), so it has hopeful application prospect.
Automatic Modeling and Localization for Object Recognition

Abstract : Being able to accurately estimate an object's pose (location) in an image is important for practical implementations and applications of object recognition. Recognition algorithms often trade off accuracy of the pose estimate for efficiency -- usually resulting in brittle and inaccurate recognition. One solution is object localization -- a local search for the object's true pose given a rough initial estimate of the pose. Localization is made difficult by the unfavorable characteristics (for example, noise, clutter, occlusion and missing data) of real images. In this thesis, we present novel algorithms for localizing 3D objects in 3D range-image data (3D-3D localization) and for localizing 3D objects in 2D intensity-image data (3D-2D localization). Our localization algorithms utilize robust statistical techniques to reduce the sensitivity of the algorithms to the noise, clutter, missing data, and occlusion which are common in real images. Our localization results demonstrate that our algorithms can accurately determine the pose in noisy, cluttered images despite significant errors in the initial pose estimate. Acquiring accurate object models that facilitate localization is also of great practical importance for object recognition. In the past, models for recognition and localization were typically created by hand using computer-aided design (CAD) tools. Manual modeling suffers from expense and accuracy limitations. In this thesis, we present novel algorithms to automatically construct object-localization models from many images of the object. We present a consensus-search approach to determine which parts of the image justifiably constitute inclusion in the model. Using this approach, our modeling algorithms are relatively insensitive to the imperfections and noise typical of real image data. Our results demonstrate that our modeling algorithms can construct very accurate geometric models from rather noisy input data.
Intellectual Property Regulation, and Software Piracy, a Predictive Model

In recent years, a number of studies have considered the impact of IPRs on software piracy, specifically TRIPS and more recently U.S. USTR 301 reporting, pursuant to the Trade Act. The work of Shadlen (2005) supports the assertion that a number of recent IPR reforms directly influence rates of copyright infringement. Shadlen (2005) is a significant study into the impact of the IPRs such as TRIPS, Out of Cycle reviews and USTR 301 reporting on software piracy. The study identified a number of key IPR reforms and sought to determine the impact of IPR reform differentials on observed piracy rates. The current study extends upon Shadlen (2005), comparing the pooled panel model framework to an alternative model of prediction, a backward propagation, multilayer perceptron network model. The analysis conducted herein focuses specifically on ASEAN member countries. The study employs the Garson (1991) and Goh (1995) methods of independent variable analysis to offer further insight into relative importance of the IPR reform variables.
The Relationship Between Speech Production and Speech Perception Deficits in Parkinson's Disease.

Purpose This study investigated the possible relationship between hypokinetic speech production and speech intensity perception in patients with Parkinson's disease (PD). Method Participants included 14 patients with idiopathic PD and 14 matched healthy controls (HCs) with normal hearing and cognition. First, speech production was objectified through a standardized speech intelligibility assessment, acoustic analysis, and speech intensity measurements. Second, an overall estimation task and an intensity estimation task were addressed to evaluate overall speech perception and speech intensity perception, respectively. Finally, correlation analysis was performed between the speech characteristics of the overall estimation task and the corresponding acoustic analysis. The interaction between speech production and speech intensity perception was investigated by an intensity imitation task. Results Acoustic analysis and speech intensity measurements demonstrated significant differences in speech production between patients with PD and the HCs. A different pattern in the auditory perception of speech and speech intensity was found in the PD group. Conclusions Auditory perceptual deficits may influence speech production in patients with PD. The present results suggest a disturbed auditory perception related to an automatic monitoring deficit in PD.
An Investigation of Final Tests of Translation as Practiced in Iranian Undergraduate English Translation Program

The present study examined how translation teachers develop final tests as measures for checking on the quality of students’ academic translation in Iranian context. To achieve this goal, thirty experienced male and female translation teachers from the four types of the universities offering the program were invited to an in-depth 30-minute one-session semi-structured interview. The responses provided showed how much discrepancy exists among the Iranian translation teachers (as developers of final translation tests), who are least informed with the current translation evaluation methods. It was also revealed that the criteria they use for developing such tests and scoring student translations are not theory-driven but are highly subjective, mainly based on their personal experience and intuition. Hence, the quality and accountability of such tests are under serious question. The results also confirmed that the dominant method commonly and currently practiced is the purely essay-type format. To remedy the situation, some suggestions are in order. As part of the solution, to improve the reliability and validity of such tests, the present summative, product-oriented evaluation should be accompanied with some formative, process-oriented methods of evaluation. Training the teachers and helping them get acquainted with modern principles of translation evaluation as well as the existing models, and rating scales does improve the quality of academic translation evaluation. Keywords—Iranian universities, students’ academic translations, translation final tests, undergraduate translation programs.
Millimeter-wave sourceless receiver embedded with DoA estimation

In the currently speculated fifth generation (5G) wireless communication systems, one of the critical issues is related to energy efficiency. On the other hand, the transmission speeds of 5G networks are expected to reach or exceed 10 Gbps, which generally requires innovative and high spectral efficiency transmitters and receivers. To fulfill such two basic requirements of 5G systems, a millimeter-wave sourceless receiver technique is proposed and studied in this work. The proposed receiver architecture is a pure passive circuit without internal sources that achieve a high-energy efficiency. The receiver can also detect the incident angle of a radio frequency (RF) signal through embedded direction of arrival (DoA) estimation algorithm.
KTN80 confers precision to microtubule severing by specific targeting of katanin complexes in plant cells

The microtubule (MT)‐severing enzyme katanin triggers dynamic reorientation of cortical MT arrays that play crucial functions during plant cell morphogenesis, such as cell elongation, cell wall biosynthesis, and hormonal signaling. MT severing specifically occurs at crossover or branching nucleation sites in living Arabidopsis cells. This differs from the random severing observed along the entire length of single MTs in vitro and strongly suggests that a precise control mechanism must exist in vivo. However, how katanin senses and cleaves at MT crossover and branching nucleation sites in vivo has remained unknown. Here, we show that the katanin p80 subunit KTN80 confers precision to MT severing by specific targeting of the katanin p60 subunit KTN1 to MT cleavage sites and that KTN1 is required for oligomerization of functional KTN80–KTN1 complexes that catalyze severing. Moreover, our findings suggest that the katanin complex in Arabidopsis is composed of a hexamer of KTN1–KTN80 heterodimers that sense MT geometry to confer precise MT severing. Our findings shed light on the precise control mechanism of MT severing in plant cells, which may be relevant for other eukaryotes.
An efficient key partitioning scheme for heterogeneous MapReduce clusters

Hadoop is a standard implementation of MapReduce framework for running data-intensive applications on the clusters of commodity servers. By thoroughly studying the framework we find out that the shuffle phase, all-to-all input data fetching phase in reduce task significantly affect the application performance. There is a problem of variance in both the intermediate key's frequencies and their distribution among data nodes throughout the cluster in Hadoop's MapReduce system. This variance in system causes network overhead which leads to unfairness on the reduce input among different data nodes in the cluster. Because of the above problem, applications experience performance degradation due to shuffle phase of MapReduce applications. We develop a new novel algorithm; unlike previous systems our algorithm considers a node's capabilities as heuristics to decide a better available trade-off for the locality and fairness in the system. By comparing with the default Hadoop's partitioning algorithm and Leen algorithm, on the average our approach achieve performance gain of 29% and 17%, respectively.
Generation and characterization of energetic sub-20 fs DUV pulses

Several fields of contemporary physics and chemistry, such as femtochemistry, time-resolved spectroscopy or attosecond pulse generation can benefit from ultrashort deep-UV pulses. Unfortunately, the generation of such pulses is rather challenging. Existing sources directly generating DUV pulses are rather exotic and up to now they could not generate pulses shorter than ∼100 fs. Therefore the usual approach has been to convert the ultrashort pulses generated by standard IR laser systems into the DUV range by some ultrabroadband frequency conversion technique. In this way sub-20 fs pulses could be generated in the DUV, however the pulse energy has been limited to a few microjoules [1∼4].
A Survey of Formal Models for Computer Security.

Abstract : Efforts to build secure computer systems have been under way for more than a decade. Many designs have been proposed, some prototypes have been constructed, and a few systems are approaching the production stage. A small number of systems are even operating in what the Department of Defense calls the 'multi-level' mode--some information contained in these computer systems may have a classification higher than the clearance of some of the users of those systems. This report reviews the need for formal security models, describes the structure and operation of military security controls, considers how automation has affected security problems, surveys models that have been proposed and applied to date, and suggests possible directions for future models. (Author)
Attentional lapses, emotional regulation and quality of life in multiple sclerosis.

OBJECTIVES We investigated the role of attentional lapses and emotion regulation in predicting multiple aspects of Quality of Life (QoL) in MS. METHODS Individuals with MS (n=86) reported on frequency of attentional lapses using the Cognitive Failures Questionnaire, deployment of different emotion regulation strategies using the Emotion Regulation Questionnaire, and QoL on a range of domains using the WHOQoL-BREF. RESULTS Regression analyses indicated that attentional failures and infrequent use of emotional reappraisal strategies predicted variance in all aspects of QoL, in addition to effects of disease severity (total R(2)s ranged from . 134 to . 446). CONCLUSIONS Problems with attentional lapses and a failure to use effective emotion regulation strategies may contribute to reduced QoL in MS.
Dynamic Dependence and Diversification in Corporate Credit

We characterize diversification in corporate credit using a new class of dynamic copula models which can capture dynamic dependence and asymmetry in large samples of firms. We also document important differences between credit spread and equity return dependence dynamics. Modeling a decade of weekly CDS spreads for 215 firms, we find that copula correlations are highly time-varying and persistent, and that they increase significantly in the financial crisis and have remained high since. Perhaps most importantly, tail dependence of CDS spreads increase even more than copula correlations during the crisis and remain high as well. The most important shocks to credit dependence occur in August of 2007 and in August of 2011, but interestingly these dates are not associated with significant changes to median credit spreads.
Dynamic decomposition algorithm merging control flow analysis

A torque converter for inclusion between a driving shaft and a driven shaft. Preferably there is more than one torque generator and a gear train in parallel between the input and output shafts. The torque generators and any attached driving gears rotate about shafts whose axes are preferably symmetrically displaced about, and are stationary relative to, the axis of the input shaft. The above mentioned torque generators each preferably have a pair of radially opposed eccentrically mounted weights thereon. Preferably there are at least two pairs of weights on each torque generating train, together with means for varying the phasing between the pairs of weights. Means is also provided for accommodating slight misalignments between the shafts of the torque generating trains. Each of the torque generating trains has attached thereto at least one unidirectional clutch which allows the shafts to turn in only one direction. Means are also provided for delivering torque from the torque generating trains to the output shaft and for reversing the direction of the output shaft torque.
Effects of Microtubule Modulators on HIV-1 Infection of Transformed and Resting CD4 T Cells

ABSTRACT Previous studies have observed fluorescently labeled HIV particles tracking along microtubule networks for nuclear localization. To provide direct evidence for the involvement of microtubules in early steps of HIV infection of human CD4 T cells, we used multiple microtubule modulators such as paclitaxel (originally called taxol; 1 μM), vinblastine (1 and 10 μM), colchicine (10 and 100 μM), and nocodazole (10 and 100 μM) to disturb microtubule networks in transformed and resting CD4 T cells. Although these drugs disrupted microtubule integrity, almost no inhibition of HIV-1 infection was observed. Our results do not appear to support an essential role for microtubules in the initiation of HIV infection of CD4 T cells.
Extramedullary Leukemic Relapses Following Hematopoietic Stem Cell Transplantation with Nonmyeloablative Conditioning

Of a group of 149 patients who underwent allogeneic stem cell transplantation using the “Mexican approach,” a nonablative preparative regimen, 49 individuals developed bone marrow relapse, and 8 patients developed extramedullary relapse (EMR). All EMR cases presented in patients who received allografts for myeloid malignancies. In contrast, bone marrow relapses presented in patients with myeloid or lymphoid malignancies. EMR presented 60 to 1010 days after the allograft and appeared in 3 cases as subcutaneous nodules in different parts of the body, in the vertebrae in 3 cases, and in the kidney and the breast in 1 case each. One patient had both subcutaneous nodules and epididymis EMR. When EMR was noted, acute graft-versus-host disease (GVHD) had presented in 4 patients, and limited forms of chronic GVHD were present in 3 patients. All but 1 of the patients were full chimeras when the EMR ensued, and the EMR preceded an overt hematologic relapse in all but 1 of the patients. Patients who experienced an overt hematologic relapse died 20 to 180 days (median, 40 days) after the EMR. The only individual alive 240 days after relapse shows no evidence of a full-blown hematologic relapse. An EMR after allogeneic hematopoietic stem cell transplantation usually has a bad prognosis and presents mainly in individuals with high-risk malignancies.