Miracle-dz/UniFAR-FTUs huggingface dataset:
Zaburzenia pamięci operacyjnej i funkcji wykonawczych u chorych na schizofrenię w okresie częściowej remisji objawów psychopatologicznych

Introduction. The aim of the study was to assess the level and character of cognitive dysfunctions connected with prefrontal cortex activity in patients with schizophrenia in partial remission of psychopathological symptoms and evaluation of connections between demographic and clinical factors of the illness and cognitive dysfunctions. Material and methods. 45 patients with schizophrenia were included in the study (28 male and 17 female), aged 18-46 (mean 27 ± 7) years during partial remission of psychopathological symptoms (PANSS Results and conclusions. In schizophrenic patients in partial remission, the significant dysfunctions of working memory and executive functions, connected with prefrontal cortex dysfunctions compared to healthy controls were foud. The higher number of hospitalization correlated with worse performance on N-back test, and the lover level of education was assessed with the worse results on WCST (percentage of perseverative errors and lower number of correct completed category) and the lower number of correct reactions on N-back test.
Computationally efficient implementation of OFDM peak-to-average power reduction technique

The peak-to-average power of an orthogonal frequency division multiplexed (OFDM) signal can be reduced without increasing the out-of-band power by clipping the amplitude of the oversampled baseband time domain signal and filtering using a frequency domain filter based on discrete Fourier transforms. Clipping the amplitude however requires a division operation and this is undesirable in digital signal processing (DSP) implementations. In this paper it is shown that a computationally efficient amplitude reduction technique based on a look-up table can be used with little degradation in performance.
The formation of relative clauses in Jakarta Indonesian : data from adults and children

Our purpose in the present paper is to examine whether the relativized NP in yangrelative clauses in Colloquial Jakarta Indonesian (CJI) is or is not restricted to subjects. The data for the study were based on the database of the speech of children and adult-toadult speech in CJI, as well as the linguistic judgments of two native speakers of CJI. The results of our analysis showed that for adult and child speakers of CJI, object gap relativization and adjunct relativization are also possible, in addition to the preponderance of relative clauses involving subject gap relativization. We argued that children and adults employ essentially similar strategies in forming relative clauses. Children, however, differ from adults in two respects, that is (i) children relativize from object position to an even lesser degree than adults do and (ii) children relativize from adjunct position more freely than adults do.
Flexible design of cognitive radio wireless systems

The goal of this article is to show how many challenging unsolved resource allocation problems in the emerging field of cognitive radio (CR) networks fit naturally either in the game theoretical paradigm or in the more general theory of VI. This provides us with all the mathematical tools necessary to analyze the proposed equilibrium problems for CR systems (e.g., existence and uniqueness of the solution) and to devise distributed algorithms along with their convergence properties.
Cop -cache Optimization Tools for Scientiic Computing

The technological improvements in silicon manufacturing are yielding vast increases of processor's speed and memory chip capacity. At the same time, the main memory access time is experiencing modest gains, creating a dramatic disparity between the processor's clock and the access time of main memory. These developments make the e ective use of the cache memory paramount to overall program e ciency, thereby increasing the importance of cache optimization techniques. The proposed research focuses on novel tools that will assist the programmer and/or compiler in tuning up the program performance to the cache parameters of the target architecture. One tool will focus on compile-time optimizations. It will use event-driven cache simulation for determining the cache miss rate for loop nests for various target architectures. The proposed technique is based on compile-time analysis of the references of a loop nest which nds for each reference the values of the loop index variables that may cause a miss. These potential misses are input into an architecturally accurate cache model. Because simulation processes only potential misses, it makes large jumps through the index space of a program. Our experience with the prototype for Fortran indicates that the simulation speeds in the millions references per second are easily achieved on Sun Sparcworkstation. The simulation will also produce statistics of misses per reference and inter-reference interference counts gathered at the same time. Loop nests are prime prospects for code optimization. Loop transformations, such as loop interchange, fusion, distribution, iteration-space blocking, and skewing, in uence cache performance. We propose a heuristic using the simulation for nding optimal loop ranges for such loop transformations. The second proposed technique will improve the cache performance of irregular computations in which data are referenced through run-time de ned indirection arrays. Such computations often arise in scienti c problems, such as Sparse Matrix-Vector Multiplication, Particle-In-Cell simulation method and CHARMM-like codes. The proposed technique can been seen as a run-time analog of a compile-time blocking used for dense matrix problems. As a result, this technique may use the data partitioning and re-mapping subroutines that are a part of distributed memory multi-processor codes designed to minimize interprocessor communication. Depending on the target languages, we will develop a set of directives (Fortran, C) as well as a set of generic methods (C++) for easy incorporation of this technique into user's programs. The developed tools will be integrated with SciTL libraries and their use demonstrated on Particle-In-Cell plasma simulation codes in di erent languages.
Long-Term and Seasonal Dynamics of Dengue in Iquitos, Peru

Introduction Long-term disease surveillance data provide a basis for studying drivers of pathogen transmission dynamics. Dengue is a mosquito-borne disease caused by four distinct, but related, viruses (DENV-1-4) that potentially affect over half the world's population. Dengue incidence varies seasonally and on longer time scales, presumably driven by the interaction of climate and host susceptibility. Precise understanding of dengue dynamics is constrained, however, by the relative paucity of laboratory-confirmed longitudinal data. Methods We studied 10 years (2000–2010) of laboratory-confirmed, clinic-based surveillance data collected in Iquitos, Peru. We characterized inter and intra-annual patterns of dengue dynamics on a weekly time scale using wavelet analysis. We explored the relationships of case counts to climatic variables with cross-correlation maps on annual and trimester bases. Findings Transmission was dominated by single serotypes, first DENV-3 (2001–2007) then DENV-4 (2008–2010). After 2003, incidence fluctuated inter-annually with outbreaks usually occurring between October and April. We detected a strong positive autocorrelation in case counts at a lag of ∼70 weeks, indicating a shift in the timing of peak incidence year-to-year. All climatic variables showed modest seasonality and correlated weakly with the number of reported dengue cases across a range of time lags. Cases were reduced after citywide insecticide fumigation if conducted early in the transmission season. Conclusions Dengue case counts peaked seasonally despite limited intra-annual variation in climate conditions. Contrary to expectations for this mosquito-borne disease, no climatic variable considered exhibited a strong relationship with transmission. Vector control operations did, however, appear to have a significant impact on transmission some years. Our results indicate that a complicated interplay of factors underlie DENV transmission in contexts such as Iquitos.
Region-Based Routing: An Efficient Routing Mechanism to Tackle Unreliable Hardware in Network on Chips

The design of scalable and reliable interconnection networks for system on chips (SoCs) introduce new design constraints not present in current multicomputer systems. Although regular topologies are preferred for building NoCs, heterogeneous blocks, fabrication faults and reliability issues derived from the high integration scale may lead to irregular topologies. In this situation, efficient routing becomes a challenge. Although table-based routing allows the use of most routing algorithms on any topology, it does not scale in terms of latency and area. In this paper we propose the region-based routing mechanism that avoids the scalability problems of table-based solutions. From an initial topology and routing algorithm, the mechanism groups, at every switch, destinations into different regions based on the output ports. By doing this, redundant routing information typically found in routing tables is eliminated. Evaluation results show that the mechanism requires only four regions to support several routing algorithms in a 2D mesh with no performance degradation. Moreover, when dealing with link failures, our results indicate that the mechanism combined with the segment-based routing algorithm is able to pack all the routing information into eight regions providing high throughput. The paper provides also a simple and efficient hardware implementation of the mechanism requiring only 240 logic gates per switch to support eight regions in a 2D mesh topology
Measuring Distances Using Infrared Surface Brightness Fluctuations

Surface brightness fluctuations (SBFs) are much brighter in the infrared than they are at optical wavelengths, making it possible to measure greater distances using IR SBFs. We report new K' (2.1 μm) SBF measurements of nine galaxies in the Fornax and Eridanus clusters using a 10242 pixel HgCdTe array. We used improved analysis techniques to remove contributions to the SBFs from globular clusters and background galaxies, and we assess the relative importance of other sources of residual variance. We applied the improved methodology to our Fornax and Eridanus images and to our previously published Virgo cluster data. Apparent fluctuation magnitudes were used in conjunction with Cepheid distances to M31 and the Virgo cluster to calibrate the K' SBF distance scale. We find the absolute fluctuation magnitude =-5.61±0.12, with an intrinsic scatter of 0.06 mag to the calibration. No statistically significant change in is detected as a function of (V-I). Our calibration is consistent with simple (constant age and metallicity) stellar population models. The lack of a correlation with (V-I) in the context of the stellar population models implies that elliptical galaxies bluer than (V-I) = 1.2 have SBFs dominated by younger (5-8 Gyr) populations and metallicities comparable to redder ellipticals. Significant contributions to the SBFs from anomalous populations of asymptotic giant branch stars are apparently uncommon in giant ellipticals. K' SBFs prove to be a reliable distance indicator as long as the residual variance from globular clusters and background galaxies is properly removed. Also, it is important that a sufficiently high signal-to-noise ratio be achieved to allow reliable sky subtraction because residual spatial variance can bias the measurement of the SBF power spectrum.
Integrating m-learning with e-learning

Wireless and mobile technology has transformed the didactic world. M-Learning is an emerging field which blends wireless technology and mobile computing to educate the world. This study investigates the effectiveness and viability of cellular technology to teach and train distance learners. The research answers following questions with reference to distance learning in Pakistan but not limited to it: Is this feasible to use cellular technology to educate people on mass scale? How can cellular technology help the Government of Pakistan face the challenge of providing education for all? What can be the motivations for the use of cellular technology instead of TV, radio and internet? What can be the limitations that may hinder the use of mobile devices for learning purpose? The distance learning models of Allama Iqbal Open University of Pakistan (AIOU) and Virtual University of Pakistan (VU) are studied to address the readiness of M-Learning environment in such universities. It is found that cellular technology can increase the efficacy of distance education. It is well suited to teach the language skills and information technology courses. We can use cellular technology as a supplement to the existing learning technologies to reaching huge student masses, in a timely and cost effective manner, through a variety of devices and over a diverse terrain.
The Hot and Cold Spots in the Wilkinson Microwave Anisotropy Probe Data Are Not Hot and Cold Enough

This Letter presents a frequentist analysis of the hot and cold spots of the cosmic microwave background data collected by the Wilkinson Microwave Anisotropy Probe (WMAP). We compare the WMAP temperature statistics of extrema (number of extrema, mean excursion, variance, skewness, and kurtosis of the excursion) to Monte Carlo simulations. We find that on average, the local maxima (high temperatures in the anisotropy) are too cold and the local minima are too warm. In order to quantify this claim we describe a two-sided statistical hypothesis test that we advocate for other investigations of the Gaussianity hypothesis. Using this test we reject the isotropic Gaussian hypothesis at more than 99% confidence in a well-defined way. Our claims are based only on regions that are outside the most conservative WMAP foreground mask. We perform our test separately on maxima and minima and on the north and south ecliptic and Galactic hemispheres and reject Gaussianity at above 95% confidence for almost all tests of the mean excursions. The same test also shows the variance of the maxima and minima to be low in the ecliptic north (99% confidence) but consistent in the south; this effect is not as pronounced in the Galactic north and south hemispheres.
Distributed Modeling and Characterization of On-Chip/System Level PDN and Jitter Impact

The constant pursuit of higher operating speeds combined with the effort to reduce power consumption creates increasingly stringent requirements for modern I/O interfaces. As the voltage margins shrink and the operating frequencies increase, the quality of the power delivery network becomes the critical factor that determines the I/O performance. A successful I/O design depends on having a robust and reliable power supply at all levels of the system. This paper describes a methodology flow that enables characterization of a system-level power delivery network. The methodology takes into consideration the combined effects of chip, package, and board-level components of a power supply. The system approach results in a very accurate prediction of the power supply noise and of its impact on the system timing. The characterization flow brings together different commercial computer-aided engineering tools as well as some in-house techniques to create a complete model of a power delivery network. The correlation and verification steps use several types of Xilinx FPGA products as test vehicles, and leverage the flexibility offered by FPGAs to measure the parameters of the system. Modeling and measurements are done both in frequency and time domains. Such characteristics of the system as frequency-dependent power delivery network impedance, transient voltage noise, I/O phase noise, and jitter are all considered.
Formal Veriication of Connict Detection Algorithms

Safety assessment of new air traac management systems is a main issue for civil aviation authorities. Standard techniques such as testing and simulation have serious limitations in new systems that are signiicantly more autonomous than the older ones. In this paper, we present an innovative approach for establishing the correctness of con-ict detection systems. Fundamental to our approach is the concept of trajectory, which is described by a continuous path in the x-y plane constrained by physical laws and operational requirements. From the model of trajectories, we extract, and formally prove, high level properties that can serve as a framework to analyze connict scenarios. We use the AILS (Airborne Information for Lateral Spacing) alerting algorithm as a case study of our approach.
Cognitive skills learning: pen input patterns in computer-based athlete training

In this paper, we describe a longitudinal user study with athletes using a cognitive training tool, equipped with an interactive pen interface, and think-aloud protocols. The aim is to verify whether cognitive load can be inferred directly from changes in geometric and temporal features of the pen trajectories. We compare trajectories across cognitive load levels and overall Pre and Post training tests. The results show trajectory durations and lengths decrease while speeds increase, all significantly, as cognitive load increases. These changes are attributed to mechanisms for dealing with high cognitive load in working memory, with minimal rehearsal. With more expertise, trajectory durations further decrease and speeds further increase, which is attributed in part to cognitive skill acquisition and to schema development, both in extraneous and intrinsic networks, between Pre and Post tests. As such, these pen trajectory features offer insight into implicit communicative changes related to load fluctuations.
New Molecular Targeted Therapy and Redifferentiation Therapy for Radioiodine-Refractory Advanced Papillary Thyroid Carcinoma: Literature Review

Although the majority of papillary thyroid carcinoma could be successfully managed by complete surgical resection alone or resection followed by radioiodine ablation, a small proportion of patients may develop radioiodine-refractory progressive disease which is not amenable to surgery, local ablative treatment or other treatment modalities. The use of FDG-PET/CT scan for persistent/recurrent disease has improved the accuracy of restaging as well as cancer prognostication. Given that patients with RAI-refractory disease tend to do significantly worse than those with radioiodine-avid or non-progressive disease, an increasing number of phase I and II studies have been conducted to evaluate the efficacy of new molecular targeted drugs such as the tyrosine kinase inhibitors and redifferentiation drugs. The overall response rate of these drugs ranged between 0–53%, depending on whether the patients had been previously treated with these drugs, performance status and extent of disease. However, drug toxicity remains a major concern in administration of target therapies. Nevertheless, there are also ongoing phase III studies evaluating the efficacy of these new drugs. The aim of the review was to summarize and discuss the results of these targeted drugs and redifferentiation agents for patients with progressive, radioiodine-refractory papillary thyroid carcinoma.
A generalization of the Lindeberg principle

We generalize Lindeberg’s proof of the central limit theorem to an invariance principle for arbitrary smooth functions of independent and weakly dependent random variables. The result is applied to get a similar theorem for smooth functions of exchangeable random variables. This theorem allows us to identify, for the first time, the limiting spectral distributions of Wigner matrices with exchangeable entries.
Evolutionary Insights into the Steroid Sensitive kiss1 and kiss2 Neurons in the Vertebrate Brain

Kisspeptin was originally found as a peptide product of Kiss1 gene and is now supposed to be an essential central regulator of reproduction in mammals. However, there is now a growing body of evidence to suggest that kiss2, the paralogous gene for kiss1, evolved in parallel during vertebrate lineage, and the kiss2 product also activates the GPR54 (kisspeptin receptor) signaling pathways. Therefore, it is now widely accepted that both kiss1 and kiss2 are the kisspeptin genes. Interestingly, either kiss1 or kiss2 or both have been lost during evolution in many vertebrate species, and the functional significance of kiss1 or kiss2 for the central regulation of reproduction is suggested to vary according to the species. Here, we argue that the steroid sensitivity of the kiss1 or kiss2 neurons has been well conserved during evolution among tetrapods and teleosts, and thus it may be the key to understanding the functional homologies of certain populations of kisspeptin (kiss1 or kiss2) neurons among different species of vertebrates. In the present review, we will first introduce recent advances in the study of steroid sensitive kiss1 and kiss2 systems in vertebrates and effects of peptide administrations in vivo. By comparing the similarities and differences between kiss1 and kiss2 of neuronal localization and sensitivity to gonadal steroids in various tetrapods and teleosts, we discuss the evolution of kisspeptin neuronal systems after gene duplication of ancestral kisspeptin genes to give rise to kiss1 and kiss2.
Cooperation control for a team of mobile robots based on fuzzy logic

In this paper, an intelligent trajectory following and cooperation algorithm is proposed based on the fuzzy approach for a group of mobile robots. The cooperation algorithm adjusts the robots' velocities so they move on their individual trajectories and finish together regardless of the length of each individual trajectory. The fuzzy rules are defined by the kinematic limitation on the robots which are bounded by both linear and angular velocities and the length and curvature of the trajectories. The experimental results obtained by three mobile robots are presented to show the accuracy of control and cooperation derived by the algorithm.
Efectos de un programa de actividad física en la coordinación dinámica general y segmentaria de niños con TDAH

espanolObjetivos: la mejora de la coordinacion en ninos con TDAH es de suma importancia debido a que estos ninos suelen presentar bajos niveles de coordinacion. Este articulo se centra en estudiar los efectos de un programa de actividad fisica sobre la coordinacion de un grupo de ninos con TDAH. Material y metodos: han participado 12 escolares (12 ninos), entre los 7 y los 12 anos de edad. La coordinacion se ha medido mediante circuito de coordinacion y test de placas. El procedimiento ha sido: pre-test, intervencion y pos-test. La intervencion ha consistido en 2 dias a la semana de actividad fisica, 60 minutos al dia, durante 12 semanas. Resultados: en el pre-test se encontraron bajos niveles de coordinacion dinamica general y segmentaria. En el pos-test, se observaron mejoras significativas en la coordinacion [dinamica general (p=0,001) y segmentaria (p=0,000)]. Conclusiones: el programa utilizado es eficaz para mejorar la coordinacion de ninos con TDAH. EnglishObjectives: the improvement of the coordination in schoolchildren with ADHD is very important because they usually have low levels of coordination. This paper focuses on studying the effects of a physical activity program on coordination of a group of schoolchildren with ADHD. Methods: this investigation involved 12 students (12 boys), aged between 7 and 12 years. The coordination was measured by Coordination Circuit and Tapping Test. The procedure was as follows: pretest, intervention and post-test. The intervention consisted of 2 days per week of physical activity, 60 minutes per day, during 12 weeks. Results: in the pre-test, the schoolchildren had low levels of general dynamic and segmentary coordination. In the pos-test, it was observed significant improvements in coordination [both general dynamic (p = 0.001) and segmentary (p = 0.000)]. Conclusions: the program used is effective to improve the coordination of children with ADHD.