Miracle-dz/UniFAR-FTUs huggingface dataset:
Determinanten eines Therapieabbruchs während der stationären qualifizierten Entgiftungsbehandlung bei Patienten mit Alkohol- und Drogenabhängigkeit

: Unplanned and premature discharge from in-patient alcohol or drug detoxification is a common and severe problem in the treatment of substance abuse. So far, most of the relevant studies focused on drug detoxification, whereas only few studies also investigated alcohol detoxification. The aim of the present study was to comparatively identify and analyse determinants of unplanned discharge during in-patient treatment in both diagnostic groups which simultaneously underwent detoxification under the same treatment setting. Subjects were 239 consecutive admissions (alcohol: n = 90; illegal drugs: n = 149) to a specialised qualified detoxification unit at the Psychiatric University Hospital of Heidelberg during the year 2000. Data on sociodemographical and psychosocial variables, medical history, psychopathological findings on admission and presence of psychiatric and/or somatic comorbidity as well as intensity level of withdrawal symptoms were collected retrospectively and analysed with respect to the prediction of planned/unplanned discharge. The high overall rates of unplanned discharge (alcohol: 43.3 % and drugs 62.4 %) confirm the previously reported figures. Treatment success of drug patients was rather affected by sociodemographical and psychosocial factors such as level of education, delinquency, unemployment and hepatitis C diagnosis. Relating to alcohol patients psychopathological findings on admission including orientation, affective state and cognition were most relevant for planned discharge. Furthermore, the results of this study underline the central role of motivation during in-patient treatment as well as the importance of a planned treatment continuation after discharge from the detoxification program.
The Effect of Processing Code, Response Modality and Task Difficulty on Dual Task Performance and Subjective Workload in a Manual System

We report here the first experiment of a series studying the effect of task structure and difficulty demand on time-sharing performance and workload in both automated and corresponding manual systems. The experimental task involves manual control time-shared with spatial and verbal decisions tasks of two levels of difficulty and two modes of response (voice or manual). The results provide strong evidence that tasks and processes competing for common processing resources are time shared less effectively and have higher workload than tasks competing for separate resources. Subjective measures and the structure of multiple resources are used in conjunction to predict dual task performance. The evidence comes from both single task and from dual task performance.
Attention Deficit Disorder Without Hyperactivity: A Distinct Behavioral and Neurocognitive Syndrome

This study examined the issue as to whether or not children carefully diagnosed as having either attention deficit disorder with hyperactivity (ADDH) or without hyperactivity (ADDnoH) could be distinguished on selected cognitive, academic, rapid naming, and behavioral measures. Employing a previously validated multimodal, multi-informant diagnostic process that results in reliable clinical diagnoses, 10 ADDH and 10 ADDnoH children were examined. While no significant differences in cognitive ability were noted between groups, significant underachievement was found in the children diagnosed as ADDnoH, particularly in mathematics achievement. The ADDnoH children were also significantly slower on rapid naming tasks than the ADDH children. Further, 60% of the ADDnoH children had a codiagnosis of a developmental reading or arithmetic disorder while none of the ADDH children received such a codiagnosis. Conversely, 40% of the ADDH children had a codiagnosis of conduct disorder and were rated by their parent as significantly more motorically active, impulsive, and deviant in the demonstration of age-appropriate social skills. These findings are discussed as they relate to the notion that children with attention deficit disorder may suffer from a right hemispheric syndrome. (J Child Neurol 1991;6(Suppl):S35-S41).
A low local input 1.9 GHz Si-bipolar quadrature modulator with no adjustment

A 1.9 GHz quadrature modulator with an onchip 90/spl deg/ phase-shifter was fabricated using a silicon bipolar technology. This paper investigates error factors caused by a limiter amplifier. It is found that a gain enhancement technique in a phase-shifter circuit is effective in realizing an adjustment free quadrature modulator; we propose a new high-gain phase shifter circuit for this purpose. This technique employs a current mode interface and an on-chip inductor. An image-rejection ratio of over 45 dBc and a carrier feedthrough of below -40 dBc were attained at -15 dBm local oscillator power. This quadrature modulator operates at 2.7 V supply voltage. The operating frequency ranges from 1.2 GHz to 2.3 GHz. The die size of the quadrature modulator IC is 2.49 mm/spl times/2.14 mm.
Layer-wise Learning of Feature Hierarchies

Hierarchical neural networks for object recog- nition have a long history. In recent years, novel methods for incrementally learning a hierarchy of features from unlabeled inputs were proposed as good starting point for supervised training. These deep learning methods| together with the advances of parallel computers|made it possible to successfully attack problems that were not practical before, in terms of depth and input size. In this article, we introduce the reader to the basic concepts of deep learning, discuss selected methods in detail, and present application examples from computer vision and speech recognition.
Optimize the Multi-Dimensional Test Coverage Based on Multiple Attribute Decision Making and Cross Entropy Method

With the scale and complexity of software increasing, people's awareness of software quality assurance has gradually strengthened. How to carry out the test, test scheme optimization selection and how to improve the testing efficiency become the reality problems in software engineering. Using the test coverage of the multidimensional metric, the effectiveness of comprehensive test coverage, test coverage rate of satisfaction and test efficiency as the optimization test scheme selection, use of multiple attribute decision making lifting scheme selection algorithm to measure the optimal test program, ameliorate the severity of the past subjective experience dependent, so as to provide guidance for reasonable, effective and scientific test. The optimization of comprehensive test coverage scheme is applied to the Markov model of software testing; software testing with the average cost minimization as objective, using the cross entropy method the optimal coverage testing section to optimize the test process.
A Network for Encoding, Decoding and Translating Locative Prepositions

In general, the spatial relationship between two objects can be roughly expressed by a locative expression of the form ‘noun-preposition-noun’. The mapping from preposition to meaning is context sensitive; for example, the preposition ‘on’ expresses different spatial relationships in the phrases ‘house on lake’ and ‘plate on table’. While very accurate selection of the proper sense of a preposition depends on the broad context, the immediate context (the two nouns) can often lend enough information to make a reasonable judgement. Back-propagation is used to train a feed-forward network to associate locative prepositions with semantic representations using several contexts (noun pairs). After training, the network can produce a core meaning for each preposition; this prototype meaning can be altered by the influence of the nouns, even for pairs which are not included in the training set. A toy example of machine translation of prepositions is presented in which two networks are trained, one using English p.
Benchmarking the Performance of Construction Procurement Methods against Selection Criteria in Nigeria

The study developed performance indices by the widely used procurement options in Nigeria on selection criteria. The traditional mean and standardized ratio were used to form the utility coefficients. Results revealed that performance by the procurement options depended on the respondents’ categorization and cost categorization of projects. Public clients ranked the lump sum contracts more able to achieve speed for projects up to N100 million (Naira) while the private clients believe it is the design-build. As regards quality, public clients rated the Build-Own-Operate-Transfer (BOOT) system as most able to achieve the quality criterion whereas private clients rated design-build for projects up to N100 million (Naira). The study then concluded that, in the Nigerian construction industry participants do not agree on the performance of the procurement options on selection criteria.
System Concept of WIFI Based Passive Radar

In this paper idea of passive radar system based on popular wireless networks commonly named WIFI is presented. In such an networks many transmitters operates in the same channel using multiple access. Wireless networks operating on frequencies 2.4GHz and 5GHz are very common today (IEEE 802.11 a/b/g/n). Classic passive radar determines bistatic distance and velocity by using cross-ambiguity function. To seek target position in XYZ space at least illumination of 3 different transmitters is required. In that paper it was assumed, that all transmitters operate on the same band frequency and the passive radar receiver has to couple each transmission burst with transmitter position by decoding the physical address of transmitter from captured data stream. Having most of the signal sources in our passive radar environment it is possible to detect and to localize objects of interest.
The future of the "Homme-trace". A substantial societal challenge

Observant que la notion de trace est utilisee dans des disciplines aux objets et methodes parfois tres eloignes, l’auteure presente quelques definitions issues de ses propres recherches (Homme-trace, traces processuelles, traces perceptuelles, signe-trace, echoisation des traces, signe-signal, etc.) et propose des passerelles avec des recherches d’autres disciplines. Elles constituent une base de debats du e.laboratoire international et interdisciplinaire (Human-Trace-Complex Systems), laboratoire qui se donne pour objectif de faire emerger une intelligence collective de la notion de trace.
Simulation Approach to Robust Constrained Control

The presented contribution introduces a simple methodology for robust control system design in case of the limitations on a manipulated variable. For this task efficient simulation and optimization tools of the MATLAB environment are fruitfully exploited. The control system design is based on the polynomial approach resulting in the pole-placement problem to be solved. This task is addressed numerically by means of the standard MATLAB functions for nonlinear constrained optimization to meet both the constraints on the control input signal and robustness of the resultant closed-loop. Some new control quality criteria and procedure are introduced for this purpose. The suggested methodology is illustrated practically on a simulation example with a classical feedback control configuration and one optimized parameter. The presented results of robust constrained control of a magnetic levitation system show applicability of the suggested approach.
Word frequency and morphological processing in Finnish revisited

The aims of the present study were to investigate the effects of word frequency on morphological processing of inflected words in Finnish, and to re-test previous results obtained for high frequency inflected words in Finnish which suggest that inflected words of high frequency might have full-form representations in the mental lexicon. Our results from three visual lexical decision experiments with monolingual Finnish speakers suggest that only very high frequency inflected Finnish words have full-form representations. This finding differs from results obtained from related studies in morphologically more limited Indo-European languages, in which full-form representations for inflected words seem to exist at a much lower level of frequency than in the morphologically rich Finnish language.
The antenna azimuth correction method for a special purpose mobile video terminal tracking antenna system implementation

In this paper, we proposed on the azimuth correction method for a line-of-sight data-link tracking antenna system. Tracking antenna system is essential to maintain line-of-sight between moving object and data-link equipment. In order to calculate the azimuth and elevation between the moving object and antenna system, we used GPS data. also to match the each coordinate systems, we used geomagnetic sensor or beacon. However, the geomagnetic disturbance-prone terrain in places difficult to correct calibration. The first step, finds the location of the strongest RF signal, we should remember the difference between the reference point and the detected position of the antenna. The second step, we could communicate each other. And the azimuth angle is calculated by GPS values. Despite the geomagnetic interference, we can correct the azimuth angle quickly and easily.
An adaptive pre-distorter for the compensation of HPA nonlinearity

A high power amplifier (HPA) is used for the amplification of transmitting communication signals. However, it produces distortions by creating AM/AM and AM/PM modulations in the transmitting signal, Accordingly, this nonlinearity results in bandwidth expansion and nonlinear distortion in the in-band signal. This paper proposes an algorithm for the operation of a pre-distorter, which is composed of a look-up table (LUT), that can compensate for the distortion produced by an HPA. For the fast initialization of the LUT, an estimation algorithm is also proposed for the HPA characteristics. Furthermore, an adaptive algorithm based on the minimization of the mean square error is proposed to compensate for the time-varying property of an HPA. The performance of the proposed algorithm is analyzed by applying the algorithm to an 8-level vestigial sideband (VSB) modulation to be used in the ATSC terrestrial digital TV system.
Radar target decomposition theorems and unsupervized classification of full polarimetric SAR data

Classification of Earth terrain components within a full polarimetric SAR image is one of the most important applications of radar polarimetry in remote sensing. An original unsupervised classification procedure, based around neural networks with competitive architecture, is proposed in this paper. This process, based on the study of the sensitivity of the synaptic coefficients of the network, is applied to the full polarimetric SAR images of San Francisco Bay (NASA/JPL 1988) for segmentation and clustering of different Earth terrain components. Then, an identification procedure, based on polarimetric decomposition theorems is presented from which a new approach to the interpretation of different scattering mechanisms is obtained after clustering. <<ETX>>
A Survey on password Attack Resist Tools

Passwords are the key to all digital secrets. Passwords remain the most widely used authentication method despite their well-known security weaknesses. Text password is the most popular form of user authentication on websites due to its convenience and simplicity. Text passwords are not always strong enough and are very easily stolen and changed under different vulnerabilities. Intruders can easily acquire a text password when a person creates a weak password or a password that is completely reused in many sites. The hacking of just one password can then lead to the loss of security of all websites to which he/she gains access through that password. Another risky environment is when a person enters his/her password in a computer that is not trust-worthy. This paper gives a review on different methods that were introduced for safeguarding of password on a network.
Complex Network Phenomena in Telecommunication Systems

Many networks such as the Internet have been found to possess scale-free and small-world network properties reflected by power-law distributions. Scale-free properties evolve in large complex networks through self-organizing processes and, more specifically, preferential attachment. New nodes in a network tend to attach to other vertices that are already well-connected. Because traffic is routed mainly through a few highly connected and concentrated vertices, the diameter of the network is small in comparison to other network structures, and movement through the network is therefore efficient. At the same time, this efficiency feature puts scale-free networks at risk for becoming disconnected or significantly disrupted when super-connected nodes are removed, either unintentionally or through a targeted attack or external force.The present paper will examine and compare properties of telecommunication networks for both the United States and Europe. Both types of networks will be examined in terms of their network topology and specifically, whether or not they are scale-free networks to be further explored by identifying and plotting power-law
FORMALIZING A USE CASE TO A KRIPKE STRUCTURE

The use case artifact is the de facto standard to represent functional requirements of a software and can be used to verify and analyze the requirements throughout the development process. Consistent and unambiguous requirements are documented using formal representation techniques. Non-technical stakeholders usually lack skills required to understand requirements documented using formal approaches. In this paper we propose an algorithm that transforms a use case description into a Kripke structure, which makes it suitable for formal representation of software requirements without requiring any special skills and facilitating non-technical stakeholders as well.
The efects of whey protein and resistant starch on body weight

Background: Obesity is widely recognized as one of the most critical health threats to families and children across the country. Obesity is a very serious health problem for people in Louisiana and especially in African Americans Children with 40.5% in the State classified as either overweight or obese as compared to 41.2% nationally. African American women have the highest rates of being overweight or obese (79.8%) compared to non-Hispanic whites (57.9%). In 2007, African Americans were 1.4 times as likely to be obese as whites. Therefore this study was designed to test the impact of dietary whey protein (WP) and resistant starch (RS) shakes/smoothies on reduction of body fat via increased satiety and increased energy expenditure in African Americans. Methods: Twenty eight African American males and females, age 21-43 years old were randomly divided into two groups. For a period of 24-weeks, the treatment group consumed WP and RS shakes/smoothies for breakfast and received nutrition education. For the same period, the control group consumed the same shake/smoothies but with starch powder and received nutrition education. The data was analyzed using SAS version 9.3. Results: At the end of the 24 week study, the treatment group lost a mean body weight of approximately 7 kg (P ≤ 0.008) that was significantly different from the control group (P ≤ 0.209). In addition, the treatment group exhibited a significant decrease of ~6 cm in waist circumference (P ≤ 0.023). There was no significant effect on mean blood pressure in treatment and control group. Conclusion: The findings from this study suggest that a combination of WP and RS in the form of shake/smoothie consumed for breakfast along with a nutrition education component may be an effective method in decreasing body weight, improving waist circumferences and cumulative food intake in African American males and females. Key Words: Whey Protein, Resistant Starch, Obesity, Breakfast shakes, Nutrition education
Accelerating the RTTOV-7 IASI and AMSU-A radiative transfer models on graphics processing units: evaluating central processing unit/graphics processing unit-hybrid and pure-graphics processing unit approaches

The radiative transfer for television operational vertical sounder (RTTOV) is a widely-used radiative transfer model (RTM) for calculation of radiances for satellite infrared and microwave sensors, including the 8461-channel infrared atmospheric sounding interferometer (IASI) and the 15-band Advanced Microwave Sounding Unit-A (AMSU-A). In the era of hyperspectral sounders with thousands of spectral channels, the computation of the RTM becomes more time-consuming. The RTM performance in operational numerical weather prediction systems still limits the number of used channels in hyperspectral sounders to only a few hundred. To take full advantage of such high-resolution infrared observations, a computationally efficient radiative transfer model is needed to facilitate satellite data assimilation. In this paper, we develop the parallel implementation of the RTTOV-7 IASI and AMSU-A RTMs to run the predictor module on CPUs in pipeline with the transmittance and radiance modules on NVIDIA many-core graphics processing units (GPUs). We show that concurrent execution of RTTOV-7 IASI RTM on CPU and GPU, in addition to asynchronous data transfer from CPU to GPU, allows the GPU accelerated code running on the 240-core NVIDIA Tesla C1060 to reach a speedup of 461× and 1793× for 1- and 4-GPU configurations, respectively. To compute one day's amount of 1,296,000 IASI spectra, the CPU code running on the host AMD Phenom II X4 940 CPU core with 3.0 GHz will take 2.8 days. Thus, GPU acceleration reduced running time to 8.75 and 2.25 min on 1- and 4-GPU configurations, respectively. Speedup for the RTTOV AMSU-A RTM varied from 29× to 75× for 1 and 4 GPUs, respectively. To further boost the speedup of a multispectral RTM, we developed a novel pure-GPU version of the RTTOV AMSU-A RTM where the predictor module also runs on GPUs to achieve a 96% reduction in the host-to-device data transfer. The speedups for the pure-GPU AMSU-A RTM are significantly increased to 56× and 125× for 1- and 4-GPU configurations, respectively.
Toward a Student-Centered Measure of Learning Management System Utilization

Colleges and universities have spent significant financial and human resources deploying and promoting educational technologies, including Learning Management Systems (LMS). A large body of research now exists on the impact of technology on student learning, including the roles of blended learning, hybrid classes, and distance learning. Yet, despite all of this work, there are surprisingly few policy-focused tools available to assess whether these investments are paying off in the classroom. This article describes a student-centered measure of LMS utilization, average number of student logins per student, as a primary tool for policymakers. While no single measure of LMS utilization will ever answer all needs, the authors argue that a student-centered empirical measure could help move policy discussions forward in important ways. Complementary to theoretical models that focus on faculty adoption, a student-centered approach provides a basic measure of how often technology is being used by the learner. The article illustrates several ways in which the proposed empirical measure could be used to spur dialog about the use of academic technologies on campus.