Miracle-dz/UniFAR-FTUs huggingface dataset:
Percepcija prošlih odnosa i privrenost adolescenata i njihovih majki

Abstract Intergenerational transmission of attachment assumes link between mental representations in past relations with parents and quality of child attachment. This study explores perception of past relations with mothers and quality of current attachment in the sample of 287 high school student and 198 mothers. Cluster analysis was used to classify students on the basis of their attachment style. Four clusters corresponded to conventional attachment styles. Rejection from mothers experienced by adolescents is moderately related to rejection, but in low correlation with control their mothers perceived as children from their mothers, and negatively correlated to care experienced by their mothers in their childhood. Low but significant correlations between the same dimensions of current quality of attachment support the hypothesis about intergenerational transmission of attachment. Results also suggest some generational differences in perceived past relation with mother. Mothers perceived significantly less care and higher levels of overprotection and rejection from their mothers than their adolescent children. Both adolescents and their mothers classified as dismissed perceived less care and higher levels of overprotection and rejection than the secure, preoccupied and fearful participants.
Survey on condom use and persistence among currently married men

Objective To investigate the utilization of condom and its persistence among currently married men,and explore related factors.Methods Population Proportional to Size sampling method was employed in sampling.The sampled men were interviewed face to face with uniform questionnaire during the period of time from November 2005 to December 2005.Results The proportion of men who knew that condom could prevent HIV infection was 89.3%. The current contraceptive rate was 84.5%,and condom accounted for 14.3% among all men currently using contraceptives.The purpose using condom was mainly for controlling birth,accounting for 84.2%,the main reason for not using condom was because of already using other contraceptive method.The proportion of men who would continue to use condom if let him reselect at current time was 66.4%. Logistic analysis showed that the persistence with condom was mainly affected by current feeling of using it,men who were satisfied with condom were more likely to continue to use it.Conclusion The knowledge about condom had increased greatly,but the utilization of and persistence with condom was still unsatisfactory,more efforts should be strengthened to transform knowledge into practice and increase satisfaction with condom to promote condom use widely and correctly.
A reconfigurable coprocessor for finite field multiplication in GF (2 n)

The performance of elliptic curve based public key cryptosystems is mainly appointed by the efficiency of the underlying finite field arithmetic. This work describes a reconfigurable finite field multiplier, which is implemented within the latest family of Field Programmable System Level Integrated Circuits FPSLIC from Atmel, Inc. The architecture of the coprocessor is adapted from Karatsuba’s divide and conquer algorithm and allows for a reasonable speedup of the top-level public key algorithms. The VHDL hardware models are automatically generated based on an eligible operand size, which permits the optimal utilization of a particular FPSLIC device.
Non-linear Parameter Estimates from Non-stationary MEG Data

We demonstrate a method to estimate key electrophysiological parameters from resting state data. In this paper, we focus on the estimation of head-position parameters. The recovery of these parameters is especially challenging as they are non-linearly related to the measured field. In order to do this we use an empirical Bayesian scheme to estimate the cortical current distribution due to a range of laterally shifted head-models. We compare different methods of approaching this problem from the division of M/EEG data into stationary sections and performing separate source inversions, to explaining all of the M/EEG data with a single inversion. We demonstrate this through estimation of head position in both simulated and empirical resting state MEG data collected using a head-cast.
Member Classification and Party Characteristics in Twitter during UK Election

In modern politics, parties and individual candidates must have an online presence and usually have dedicated social media coordinators. In this context, real time member classification and party characterization, taking into account the dynamic nature of social media, are essential to highlight the main differences between parties and to monitor their activities, influences, structures, contents and mood. This paper summarizes a case study of member classification and party characteristics in Twitter during the UK election.
Four novel SPG3A/atlastin mutations identified in autosomal dominant hereditary spastic paraplegia kindreds with intra‐familial variability in age of onset and complex phenotype

Mutation of the atlastin gene (SPG3A) is responsible for ∼10% of autosomal dominant hereditary spastic paraplegia (AD‐HSP) cases. The goal of this study was to identify novel disease causing atlastin mutations. Atlastin nucleotide variations were detected by direct sequencing of all 14 exons in 70 autosomal dominant (AD), 16 single sibship and 14 sporadic spastic paraplegia patients. Six mis‐sense mutations (four of which were novel) were identified in six unrelated AD‐HSP kindreds in exons 4, 7 and 8 of the atlastin gene. One kindred with a novel mutation showed variability in clinical phenotype and age of onset. Mutations are predicted to decrease GTPase activity, cause morphological abnormalities of the endoplasmic reticulum and prevent maturation of the Golgi complex resulting in impaired vesicle trafficking. Our study significantly adds to the spectrum of mutations and clinical phenotype of SPG3A. We advocate that all spastin mutation negative AD‐HSP kindreds should be screened for pathogenic atlastin mutations regardless of age of onset or phenotypic complexity.
DSP Implementation of Fuzzy Based Power Quality Improvement Strategy for Converter Fed Drive System

The philosophy envisages to enhance the overall power quality of a DC drive system through a mechanism that attempts to phase correct the input current. It orients to improve the performance of the separately excited motor in addition to regulating its speed through the entire operating range. The Digital Signal Processor (DSP), besides generating the PWM gating pulse for the lone power switch in the AC-DC converter, is programmed to function as a PI/FUZZY controller in the feedback loop. The control strategy is designed to echo an improvement in the input power factor, eliminate the lower order harmonics and there by reduce the Total Harmonic Distortion (THD) of the supply current. The MATLAB based simulation results validated through a suitable prototype, are included to project its practical applicability.
Compiling Functional Code for System-Level Environment

Compilation of programming languages based on λ–calculus to standalone, low-level machine code involves a challenge of removing automatic memory management that is usually required for supporting implicit allocations produced by currently available compilers. We propose a compilation approach that is able to convert pure, lazily-evaluated functional code to machine code suitable for running on bare hardware with no run-time support, and describe a Haskell-like programming language that demonstrates feasibility of the new method. Using the proposed approach, the missing ability to directly control the hardware and memory allocation may be added to purely functional languages, which otherwise have several advantages over traditional procedural languages, including easier verification and parallelization.
Measurement and Analysis of C and C++ Performance

As computer languages and architectures evolve, many more challenges are being presented to compilers. Dealing with these issues in the context of the Alpha Architecture and the C and C++ languages has led Compaq’s C and C++ compiler and engineering teams to develop a systematic approach to monitor and improve compiler performance at both run time and compile time. This approach takes into account five major aspects of product quality: function, reliability, performance, time to market, and cost. The measurement framework defines a controlled test environment, criteria for selecting benchmarks, measurement frequency, and a method for discovering and prioritizing opportunities for improvement. Three case studies demonstrate the methodology, the use of measurement and analysis tools, and the resulting performance improvements.
A global framework for monitoring phenological responses to climate change

Remote sensing of vegetation phenology is an important method with which to monitor terrestrial responses to climate change, but most approaches include signals from multiple forcings, such as mixed phenological signals from multiple biomes, urbanization, political changes, shifts in agricultural practices, and disturbances. Consequently, it is difficult to extract a clear signal from the usually assumed forcing: climate change. Here, using global 8 km 1982 to 1999 Normalized Difference Vegetation Index (NDVI) data and an eight‐element monthly climatology, we identified pixels whose wavelet power spectrum was consistently dominated by annual cycles and then created phenologically and climatically self‐similar clusters, which we term phenoregions. We then ranked and screened each phenoregion as a function of landcover homogeneity and consistency, evidence of human impacts, and political diversity. Remaining phenoregions represented areas with a minimized probability of non‐climatic forcings and form elemental units for long‐term phenological monitoring.
Dance Movement Therapy Improves Body Image in Young Adults withAutism Spectrum Disorder. An Empirical Investigation

Body image has rarely been investigated in Autism Spectrum Disorder (ASD). Recent advances in embodiment research on nonverbal improvements in ASD have encouraged the investigation of this topic. In the context of the clinical study on autism and schizophrenia in the Heidelberg Node of the TESIS-network, we investigated the effects of dance movement therapy (DMT) on body image in autism with the Body-Image-Sculpture-Test (Korperbildskulpturtest, KST;. We applied the KST as a primarily nonverbal test where the participants’ task was to form a human figure from clay within ten minutes and without visual feedback. Ten young adults with ASD participated in the KST before and after ten weekly sessions of dance movement therapy in a professional rehabilitation and training institution in Southern Germany. Results show a significant improvement at post-test on all five dimensions of the KST: proportions, dimensions, connectedness, completion, and surface quality. Evidence is limited due to the lack of a control group and the small sample size. Yet, the study yields first positive results of body image improvement after DMT in autism, in the form of individual effects (improvement of body image) and inter-subjective aspects (through the interviews) after interactive body-based mirroring exercises and inter-subjective experiences in a group context.
Multigauge-boson vertices and chiral Lagrangian parameters in Higgsless models with ideal fermion delocalization

Higgsless models with fermions whose $SU(2)$ properties are ``ideally delocalized,'' such that the fermion's probability distribution is appropriately related to the $W$ boson wave function, have been shown to minimize deviations in precision electroweak parameters. As contributions to the $S$ parameter vanish to leading order, current constraints on these models arise from limits on deviations in multi-gauge-boson vertices. We compute the form of the triple and quartic gauge-boson vertices in these models and show that these constraints provide lower bounds only of the order of a few hundred GeV on the masses of the lightest $KK$ resonances. Higgsless models with ideal fermion delocalization provide an example of extended electroweak gauge interactions with suppressed couplings of fermions to extra gauge bosons, and these are the only models for which triple-gauge-vertex measurements provide meaningful constraints. We relate the multigauge couplings to parameters of the electroweak chiral Lagrangian, and the parameters obtained in these $SU(2)\ifmmode\times\else\texttimes\fi{}SU(2)$ models apply equally to the corresponding five-dimensional gauge theory models of QCD. We also discuss the collider phenomenology of the $KK$ resonances in models with ideal delocalization. These resonances are found to be fermiophobic, therefore traditional direct collider searches are not sensitive to them and measurements of gauge-boson scattering will be needed to find them.
Distributional and Efficiency Impacts of Increased US Gasoline Taxes

We examine the impacts of increased U.S. gasoline taxes with a model that links the markets for new, used, and scrapped vehicles. Parameters for the household demand side of the model derive from an estimation procedure that integrates individual choices for car ownership and miles traveled. The model considers both short- and long-run impacts of policy changes, and recognizes the considerable heterogeneity among households and cars. We find that each cent-per-gallon increase in the price of gasoline reduces the equilibrium gasoline consumption by about . 2 percent. Impacts on the used car market change significantly over time. Taking account of revenue-recycling, the impact of a 25-cent gasoline tax increase on the average household is about $30 per year (2001 dollars). Distributional impacts depend importantly on how additional revenues from the tax increase are recycled. If revenues are recycled in equal amounts to each household, the average household in each of the bottom four income deciles experiences a welfare gain from a gasoline tax increase. On the other hand, if revenues are recycled in proportion to income, only very poor households (those in the lowest decile) and very rich households (those in the highest) stand to gain.
Free-Energy Minimization and the Dark-Room Problem

Recent years have seen the emergence of an important new fundamental theory of brain function. This theory brings information-theoretic, Bayesian, neuroscientific, and machine learning approaches into a single framework whose overarching principle is the minimization of surprise (or, equivalently, the maximization of expectation). The most comprehensive such treatment is the “free-energy minimization” formulation due to Karl Friston (see e.g., Friston and Stephan, 2007; Friston, 2010a,b – see also Fiorillo, 2010; Thornton, 2010). A recurrent puzzle raised by critics of these models is that biological systems do not seem to avoid surprises. We do not simply seek a dark, unchanging chamber, and stay there. This is the “Dark-Room Problem. ” Here, we describe the problem and further unpack the issues to which it speaks. Using the same format as the prolog of Eddington’s Space, Time, and Gravitation (Eddington, 1920) we present our discussion as a conversation between: an information theorist (Thornton), a physicist (Friston), and a philosopher (Clark).
Click shaping to optimize multiple objectives

Recommending interesting content to engage users is important for web portals (e.g. AOL, MSN, Yahoo! , and many others). Existing approaches typically recommend articles to optimize for a single objective, i.e., number of clicks. However a click is only the starting point of a user's journey and subsequent downstream utilities such as time-spent and revenue are important. In this paper, we call the problem of recommending links to jointly optimize for clicks and post-click downstream utilities click shaping. We propose a multi-objective programming approach in which multiple objectives are modeled in a constrained optimization framework. Such a formulation can naturally incorporate various application-driven requirements. We study several variants that model different requirements as constraints and discuss some of the subtleties involved. We conduct our experiments on a large dataset from a real system by using a newly proposed unbiased evaluation methodology [17]. Through extensive experiments we quantify the tradeoff between different objectives under various constraints. Our experimental results show interesting characteristics of different formulations and our findings may provide valuable guidance to the design of recommendation engines for web portals.
Macroalgae Inhibits Larval Settlement and Increases Recruit Mortality at Ningaloo Reef, Western Australia

Globally, many coral reefs are degraded and demonstrate reduced coral cover and increased macroalgal abundance. While negative correlations between macroalgae and coral recruitment have commonly been documented, the mechanisms by which macroalgae affects recruitment have received little attention. Here we examined the effect of macroalgae on larval settlement and the growth and survival of coral recruits, in a field experiment over nine months. Exclusion treatments were used to manipulate herbivory and macroalgal biomass, while settlement tiles measured coral settlement and survival. After nine months the volume of macroalgae was up to 40 times greater in the caged treatments than in controls and the settlement of coral larvae on the undersides of tiles within caged plots was 93% lower than in the uncaged treatments. The growth and survival of coral recruits was also severely reduced in the presence of macroalgae: survival was 79% lower in caged treatments and corals were up to 58% smaller with 75% fewer polyps. These data indicate that macroalgae has an additive effect on coral recruitment by reducing larval settlement and increasing recruit mortality. This research demonstrates that macroalgae can not only inhibit coral recruitment, but also potentially maintain dominance through a positive feedback system.
Short-Term Effect of Plyometrics and Strength Training With and Without Superimposed Electrical Stimulation on Muscle Strength and Anaerobic Performance: A Randomized Controlled Trial. Part II

Herrero, AJ, Martín, J, Martín, T, Abadía, O, Fernández, B, and García-López, D. Short-term effect of plyometrics and strength training with and without superimposed electrical stimulation on muscle strength and anaerobic performance: A randomized controlled trial. Part II. J Strength Cond Res 24(6): 1616-1622, 2010-The purpose of this study was to compare the effects of combined strength and plyometric training with or without superimposed electromyostimulation (EMS) on muscle strength and anaerobic power. Twenty-nine subjects were randomly assigned to weight + plyometrics + EMS (EP), weight + plyometrics (VP), and control group (CG). Weight + plyometrics + EMS and VP performed 2 plyometric sessions and 2 weight training sessions per week throughout 4 weeks on a knee extension machine. Weight + plyometrics + EMS received EMS throughout the concentric phase of each action (120 Hz, 400 microseconds). Before, after training, and 2 weeks after the end of the training (detraining), maximal voluntary contraction, squat jump, countermovement jump, countermovement jump with free arms, and 20-minute sprint time were analyzed. After the training period, EP and VP increased their muscle strength (28.6 and 22.3%, respectively; p < 0.001). After the detraining period, this gain remained above baseline values (28.1 and 18.0%, respectively; p < 0.001 and p < 0.01). After training and detraining, muscle strength was higher in EP than in VP (p < 0.05). Vertical jump height was not modified for whichever group or test, except for the countermovement jump height with free arms, where a decrease for EP was observed after training (−6.3%; p < 0.001) and detraining (−5.5%; p < 0.001). Sprint performance improved in all groups in the detraining test (−0.8%; p < 0.05). If a low number of training sessions are carried out, superimposed EMS leads to a higher strength gain than voluntary training alone. However, if anaerobic power is an important aim of the training, EMS should be applied isometrically instead of superimposed EMS and combined with plyometrics.
Towards Next-Generation Botnets

In this paper, we introduce the design of an advanced bot called Rambot that is based on the weaknesses we found when tracking a diverse set of botnets over a period of several months. The main features of this bot are peer-to-peer communication, strong cryptography, a credit-point system to build bilateral trust amongst bots, and a proof-of-work scheme to protect against potential attacks. The goal of this work is to increase the understanding of more advanced botnet designs, such that more efficient detection and mitigation systems can be developed in the future.
Novel Treatment of Radicular Pain With a Multi-Mechanistic Combination Topical Agent: A Case Series and Literature Review

Introduction Pharmacologic treatment of radicular pain with oral medications is limited by adverse effects and concern for dependence. While topical formulations have been explored in pain research, there is no published literature evaluating the efficacy in radicular pain. We present the first three cases of radicular pain successfully treated with a topical formulation of diclofenac, ibuprofen, baclofen, cyclobenzaprine, bupivacaine, gabapentin, and pentoxifylline (T7). Case Presentation Case series evaluating T7 for treatment of radicular pain in a single, outpatient pain center. Pain was rated on the numeric rating scale (NRS) on initial evaluation and follow up after a trial of T7. One to two grams of T7 was applied to the affected area 3 - 4 times daily in addition to the patient’s baseline pharmacologic management. Three patients with median age of 50 (range, 39 to 65) and diagnosis of cervical and/or lumbosacral radicular pain participated. Two of the three had chronic radicular pain despite use of analgesic agents, spinal injections and failed spinal surgery syndrome. Each reported subjective improvement in radicular pain, function and sleep. There was an average decrease in NRS score consistent with 30% - 40% global improvement in symptoms, clinically significant based on the minimal clinically important difference for radicular pain. T7 was well tolerated without adverse reactions. Surgery was prevented or delayed in all cases. Conclusions This is the first report of the successful treatment of radicular pain with a topical agent. This highlights the need for randomized, prospective study of both single and compounded topical agents for treatment of radicular pain.
Defense Technical Information Center Compilation Part Notice ADPO 10684 TITLE : Battlefield Information Systems in Air Warfare

TITLE: Usability of Information in Battle Management Operations [1'Exploitation de l'information dans les operations de gestion du champ de bataille] To order the complete compilation report, use: ADA389629 The component part is provided here to allow users access to individually authored sections f proceedings, annals, symposia, ect. However, the component should be considered within he context of the overall compilation report and not as a stand-alone technical report.