Miracle-dz/UniFAR-FTUs huggingface dataset:
Kind- en ouderpsychopathologie kenmerkend voor multiprobleem gezinnen?

Problem In the scientific literature is no recent description of multiproblem families available. The present study examined childand parent psychopathology as possible features of multiproblem families. In this study is also examined gender differences in the prevalence of child psychopathology and the linkage between mother-daughter, mother-son, father-daughter and father-son psychopathology. Method Children (N= 28) in the regular Dutch population and in the multiproblem condition (N = 21) filled in a questionnaire. Their parents (N fathers = 27, N mothers = 58) also received a questionnaire, and they agreed to participate. Child psychopathology was assessed using two instruments: the Child Behavior Checklist (CBCL) and the Youth Self Report (YSR). Parent psychopathology was assessed by the Adult Self Report Form (ASR). Results The findings indicate that the prevalence of mother psychopathology and child psychopathology is higher in multiproblem families. There is a difference between child score and the parent score on child psychopathology. There were not enough fathers in the multiproblem condition, to tell something reliable about father psychopathology. No significant differences between boys and girls were found in the prevalence of child psychopathology, using the total score on child psychopathology. Looking at the separate problem scales, the results indicate from the parent score, that the prevalence of somatic problems in the multiprobleem condition, is higher in girls than in boys. According to the child score, in the regular Dutch population the prevalence of problem behavior is higher in boys than in girls. The mother-daughter correlation is not stronger correlated than the mother-son correlation. The same results were found for father-daughter en father-son correlations. Conclusion The prevalence of mother psychopathology and child psychopathology is higher in multiproblem families. There were not enough fathers in the multiproblem condition, to tell something reliable about father psychopathology. No differences were found in the prevalence of gender differences within child psychopathology. Same sex-dyads are not stronger correlated to each other than different sex-dyads.
ICAP-I: A reusable interface for the internal reconfiguration of Xilinx FPGAs

Application circuits configured on Xilinx Virtex series FPGAs are able to reconfigure the FPGA at run time using the on-chip ICAP. Traditional methods of accessing the ICAP using OPB-based and PLB-based schemes are unnecessarily complex and rarely reused. In this study, a new interface for accessing the ICAP is introduced. The interface is easy to use, it can readily be integrated to different systems, it is customizable, and it is reusable. A demonstration is crafted to show the use of the new interface. Performance results for the new interface and previous OPB-based and PLB-based methods are compared.
Dynamic Structure Learning of Factor Graphs and Parameter Estimation of a Constrained Nonlinear Predictive Model for Oilfield Optimization

Injector-producer relationships (IPRs) are the key knowledge for oilfield optimization, i.e., maximizing oil production at the minimum operational cost. The difficulty associated with the field optimization is that the underlying reservoir structure is unknown and changes continuously over time. Inferring IPRs is a large-scale constrained nonlinear parameter estimation problem. The state-of-the-art hybrid constrained nonlinear optimization (HCNO) method provides excellent accuracy for solving this problem but with prohibitive computational costs for large oilfields. In this paper, we propose a dynamic structure learning and parameter estimation approach based on inference in a probabilistic graphical model named PETROGRAPH Learning (PGL). The learning is initiated by constructing an initial factor graph based on a locality principle and is guided by belief discrepancies, estimation error, and residual correlation analysis. At each iteration, the sum-product algorithm is applied to estimate the parameters, and the factor graph structure is refined as the input for the next round. The iterative learning continues until convergence. Experimental results and analysis show that PGL is scalable to the large scale of real oilfields with much less running time than that of HCNO while providing virtually exact solutions.
Title An Optimal Wireless Packet Scheduling Algorithm to Manage Multiclass Services in Packet Switched Networks

This paper introduces a GPRS-like cellular network simulator, where mobile terminals move, initiate and terminate their communications. This tool aims at evaluating the major QoS parameters in realistic propagation conditions and for different resource allocation policies. Our objectives on developping such simulator are first to compare some of existing channel management methods and second, to validate a new optimal scheme of allocating the physical channels to mobile users supporting multimedia applications. Our discrete-event simulation tool takes into account both the time variation of the system and its spatial dimension relating to the users movement and its effect on the signal propagation and the radio link. The system taken into account in this paper is a GPRS-like (i.e. TDMA) one, i.e. voice and data are integrated over Time Division Multiple Access wireless cellular network. In this paper, our scenario has considered three traffic classes : best-effort, medium and premium.
CHRONIC OBSTRUCTIVE PULMONARY DISEASE Biomass fuels are the probable risk factor for chronic obstructive pulmonary disease in rural South China

Background: There is increasing evidence for a possible association between chronic obstructive pulmonary disease (COPD) and the use of biomass fuels for cooking and heating in developing countries. Data on the prevalence of COPD and objective measurements of indoor pollution from biomass fuel have not been widely available from China. A study was undertaken to investigate the prevalence of COPD in two study communities in Guangdong province in China and to measure the association between COPD and indoor biomass fuel air pollution. Methods: A cluster disproportional random sampling survey was performed in populations aged over 40 years in urban (Liwang) and rural (Yunyan) areas in Guangdong, China. Spirometry was performed in all subjects and a post-bronchodilator ratio of the forced expiratory volume in 1 s to forced vital capacity of ,0.70 was defined as COPD. Measurements of indoor and outdoor air pollutants were also performed in a random sample of households. Results: The overall prevalence of COPD in the two areas (Liwang and Yunyan) was 9.4%. The prevalence of COPD in both the whole population and a subpopulation of non-smoking women in rural Yunyan was significantly higher than in urban Liwang (12.0% vs 7.4%, and 7.2% vs 2.5%, respectively). The use of biomass fuel was higher in rural Yunyan than in urban Liwang (88.1% vs 0.7%). Univariate analysis showed a significant association between COPD and exposure to biomass fuel for cooking. Multivariate analysis showed a positive association between COPD and urban/rural area (surrogate for fuel type and local exhaust ventilation in kitchen) after adjustment for sex, age group, body mass index, education, occupational exposure, respiratory disease in family, smoking status, life quality and cough in childhood; similar results were found in non-smoking women. Pollutants measurements showed that concentrations of carbon monoxide, particulate matter with an aerodynamic diameter (10 mm, sulphur dioxide and nitrogen dioxide in the kitchen during biomass fuel combustion were significantly higher than those during LPG combustion. Conclusions: Indoor pollutants from biomass fuels may be an important risk factor for COPD in rural South China.
Privacy-Preserving Offloading of Mobile App to the Public Cloud

To support intensive computations on resource-restricting mobile devices, studies have been made to enable the offloading of a part of a mobile program to the cloud. However, none of the existing approaches considers user privacy when transmitting code and data off the device, resulting in potential privacy breach. In this paper, we present the design and implementation of a system that automatically performs fine-grained privacy-preserving Android app offloading. It utilizes static analysis and bytecode instrumentation techniques to ensure transparent and efficient Android app offloading while preserving user privacy. We evaluate the effectiveness and performance of our system using two Android apps. Preliminary experimental results show that our offloading technique can effectively preserve user privacy while reducing hardware resource consumption at the same time.
GENETIC DETERMINATION OF PLANT SUSCEPTIBILITY TO AN HERBIVOROUS INSECT DEPENDS ON ENVIRONMENTAL CONTEXT

also varies among arenas, there can be selection for the later females to produce more sons. This effect can lead to male eggs being laid later, on average, than female eggs (Hamilton, 1967; Werren, 1980). Restrictions imposed by the assumptions of the finite-groups model make it unlikely to apply in nature, but the model does help to elucidate the underlying factors leading to biased sex ratios in structured demes. It provides a demonstration that biased sex ratios can occur in a spatially structured population in the absence of both sib competition and sib mating. Our results support Nunney's (1985 p. 355) hypothesis oflocal parental control: a sex ratio bias will occur if a parent can control the sex ratio of the mating group that contains its offspring and if this bias affects offspring mating success. The key factors leading to bias in the finite groups model are: I) knowledge by the laying female of the sexes of previously laid eggs; 2) parental control over the sex ratio of eggs laid; 3) the ability ofany male to fertilize all females (or all nonsib females) in an arena; and 4) equal mating success among all males in an arena. Factors I and 2 permit the laying female to control the sex ratio of the mating group, and factors 3 and 4 determine the fitness of offspring as a function ofthe sex ratio within the group. Factors 2-4 are also major assumptions of local mate competition models.
Adaptive Interference Management of OFDMA Femtocells for Co-Channel Deployment

Femtocell technology has been drawing considerable attention as a cost-effective means of extending cellular coverage and enhancing capacity as well as realizing its potential, when combined with orthogonal frequency-division multiple access (OFDMA), for improved indoor broadband wireless services. However, under the expected co-channel deployment of femto- and macro-cells, femtocells may incur high uplink interference to macrocells, and vice versa. To mitigate this interference, we propose a distributed and self-organizing femtocell management architecture, called the Complementary TRi-control Loops (CTRL), that consists of three control loops to determine (1) maximum transmit power of femtocell users based on the fed-back macrocell load margin for protection of the macrocell uplink communications; (2) target signal to interference plus noise ratios (SINRs) of femtocell users to reach a Nash equilibrium; and (3) instantaneous transmit power of femtocell users to achieve the target SINRs against bursty interference from other nearby users. CTRL requires neither special hardware nor change to the radio resource management (RRM) of existing macrocells, thus facilitating non-disruptive (hence seamless) penetration of femtocells. Also, CTRL guarantees convergence in the presence of environmental changes and delayed feedback. Our evaluation has shown CTRL to successfully preserve the macrocell users' service quality under highly dynamic user transmission conditions and be able to make a tradeoff between macrocell and femtocell capacities.
CS 269 I : Incentives in Computer Science Lecture # 16 : Revenue-Maximizing Auctions ∗

Thus far, we’ve focused on the design of auctions that maximize the social welfare (at least in the case where bids are truthful). Welfare maximization is a first-order concern in many scenarios, and as we’ve seen, this objective has guided the design of auctions for sponsored search and online advertising more generally. Revenue is generated in welfare-maximizing auctions, but only as a side effect, a necessary evil to incentivize participants to report their private information. (Remember what happened when we tried to charge nothing in a single-item auction? ) What if our goal is to maximize the seller’s revenue, rather than the social welfare? This lecture, our last on auction design, explains the changes that need to be made.
A Simple Approach for Estimation of Execution Effort of Functional Test Cases

Planning and scheduling of testing activities play a key-role for any independent test team that performs tests for different software systems, pertaining to different development teams. Based on the work experience with several software systems within the scope of one real-world project, we propose an alternative approach that focuses on team efficiency to estimate the execution effort of a test case suite. To assess the validity of the approach data collected on test activity along one year were used. The approach is simpler to use than current methods, requiring less effort to apply; furthermore, it can provide the test team good estimates even using a small amount of data.
Automatic Text Summarization using Pathfinder Network Scaling

This thesis describes an automatic text summarization system based on graph-theory. Summaries are useful indicators of the document content. Traditionally summaries are created by humans by reading the text and identifying the important points in the text. So called information-overload makes such manual work very difficult (if not impossible). Many attempts have been made to automate the summarization task. This task is very difficult and involves natural language understanding. We propose an extractive text summarization system. Extractive summarization works by selecting a subset of sentences from the original text. Thus the system needs to identify most important sentences in the text. We use graph theory to identify relative importance of a sentence. The proposed method, SumGraph, uses a fully connected network to model a text with nodes as sentences and the lexical dissimilarity between pairs sentences as the link weights. This fully connected network is then scaled using Pathfinder Network Scaling technique. The scaled network reveals the conceptual organization of the sentences. Sentences are then selected for inclusion in the summary depending upon their relative importance in the conceptual network. Performance of the method is illustrated on a collection of newspaper articles. The data comes from Document Understanding Conferences. ROUGE measure is used for evaluating goodness of a summary. Comparison with other methods indicate that SumGraph produces better summaries.
Examining the function and regulation of hsp 70 in cells subjected to metabolic stress

Members of the heat-shock protein (hsp) 70 family, distributed within various cellular compartments, have been implicated in facilitating protein maturation events. In particular, related hsp 70 family members appear to bind nascent polypeptides which are in the course of synthesis and/or translocation into organelles. We previously reported that in normal, unstressed cells, cytosolic hsp 70 (hsp 72/73) interacted transiently with nascent polypeptides. We suspect that such interactions function to prevent or slow down the folding of the nascent polypeptide chain. Once synthesis is complete, and now with all of the information for folding present, the newly synthesized protein appears to commence along its folding pathway, accompanied by the ATP- dependent release of hsp 72/73. Herein, we examined how these events occur in cells subjected to different types of metabolic stress. In cells exposed to either an amino acid analog or sodium arsenite, two potent inducers of the stress response, newly synthesized proteins bind to but are not released from hsp 70. Under these conditions of metabolic stress, we suspect that the newly synthesized proteins are unable to commence proper folding and consequently remain bound to their hsp 70 chaperone. In cells subjected to heat shock, a large number of both newly synthesized as well as mature proteins are rendered insoluble. Within this insoluble material are appreciable amounts of hsp 72/73. Finally, we show that in cells depleted of ATP, the release of hsp 70 from maturing proteins is inhibited. Thus, in cells experiencing metabolic stress, newly synthesized proteins unable to properly fold, as will as mature proteins which begin to unfold become stably bound to hsp 72/73. As a consequence and over time, the free or available levels of pre-existing hsp 72/73 are reduced. We propose that this reduction in the available levels of hsp 72/73 is the trigger by which the stress response is initiated.
Recognition of Handwritten Digits using Histogram of Oriented Gradients

: Off-line recognition of text plays a significant role in several applications, such as cheque verification and mail sorting. However, the selection of the technique for feature extraction remains a big challenging step for achieving high recognition accuracy. This paper presents an efficient handwritten digit recognition system based on HOG to capture the discriminative features of digit image. HOG features are extracted from all locations of a grid on the normalised digit image. These features are fed to the ANN for the purpose of classification. This work is tested with the ADBase database containing 70,000 digit images and a comparison is made against some of the existing techniques and promising results are obtained.
Software Sustainability: The Modern Tower of Babel

The development of sustainable software has been identified as one of the key challenges in the field of computational science and engineering. However, there is currently no agreed definition of the concept. Current definitions range from a composite, non-functional requirement to simply an emergent property. This lack of clarity leads to confusion, and potentially to ineffective and inefficient efforts to develop sustainable software systems. The aim of this paper is to explore the emerging definitions of software sustainability from the field of software engineering in order to contribute to the question, what is software sustainability? The preliminary analysis suggests that the concept of software sustainability is complex and multifaceted with any consensus towards a shared definition within the field of software engineering yet to be achieved.
The Yin and Yang of protein folding

The study of protein aggregation saw a renaissance in the last decade, when it was discovered that aggregation is the cause of several human diseases, making this field of research one of the most exciting frontiers in science today. Building on knowledge about protein folding energy landscapes, determined using an array of biophysical methods, theory and simulation, new light is now being shed on some of the key questions in protein‐misfolding diseases. This review will focus on the mechanisms of protein folding and amyloid fibril formation, concentrating on the role of partially folded states in these processes, the complexity of the free energy landscape, and the potentials for the development of future therapeutic strategies based on a full biophysical description of the combined folding and aggregation free‐energy surface.
Who Is Blind to Blindsight

This paper uses the explanation of blindsight generated by a two-systems theory of vision in order to set Siewert a dilemma. Either his blindsight examples are modelled on actual blindsight, in which case certain reductive theories of phenomenal consciousness will have no difficulty in accommodating them. Or they are intended to be purely imaginary, in which case they will have no force against a reductive naturalist.
The psychological experience of a fitness-for-duty evaluee: A case study

In this case study, a police officer’s psychological experience of two fitness-for-duty evaluations (FFDEs) following a critical incident was examined. The participant was a White, middle-aged male who was a former police officer; during interview, he spoke about his experience of a critical incident that took place and the FFDEs that followed the traumatic event. Three themes were identified: ambivalence, confusion about the nature of the FFDE, and distrust and defensiveness. More research is needed to determine whether these themes are generalizable to other FFD officer-evaluees.
Development of multiple robotic fish cooperation platform

This article presents the development of a multiple robotic fish cooperation platform, which is established by employing a group of radio-controlled, multi-link fish-like robots. This work is inspired by the observation from nature that the capability of one single fish is limited, as in order to survive the atrocious circumstances in the sea, fish often swim in schools. The analogical situations occur in the robotic fish case. In engineering applications, most missions are so complex that they must be accomplished by effective cooperation of multiple fish robots. The platform presented in this article, as a novel test bed for multiple robotic fish cooperation, can be applied to different types of complex tasks. More importantly, it provides a good platform to test and verify all kinds of algorithms and strategies for cooperation of multiple underwater mobile robots. We use two cooperative tasks as examples to heuristically demonstrate the performance of this platform.
A comparison of channel access concepts for high-precision local positioning

In this paper, we review channel access concepts for two competitive radiolocation systems, High-Precision Location System (HPLS) and Local Positioning Radar (LPR), which share similar physical layers, but operate with different bandwidths. After a short review of the advantages of ultra-wideband signaling as employed by LPR, we spotlight tradeoffs in the servicing of multiple terminals. While HPLS supports both dynamic and static channel access, LPR is limited to static frequency multiplexing. The characteristics of these approaches are highlighted with theoretical analysis and simulation results.
What Is Empathy, and How Can It Be Promoted during Clinical Clerkships?

The ability of medical students to empathize often declines as they progress through the curriculum. This suggests that there is a need to promote empathy toward patients during the clinical clerkships. In this article, the authors attempt to identify the patient interviewing style that facilitates empathy and some practice habits that interfere with it. The authors maintain that (1) empathy is a multistep process whereby the doctor's awareness of the patient's concerns produces a sequence of emotional engagement, compassion, and an urge to help the patient; and (2) the first step in this process—the detection of the patient's concerns—is a teachable skill. The authors suggest that this step is facilitated by (1) conducting a “patient-centered” interview, thereby creating an atmosphere that encourages patients to share their concerns, (2) enquiring further into these concerns, and (3) recording them in the section traditionally reserved for the patient's “chief complaint. ” Some practice habits may discourage patients from sharing their concerns, such as (1) writing up the history during patient interviewing, (2) focusing too early on the chief complaint, and (3) performing a complete system review. The authors conclude that sustaining empathy and promoting medical professionalism among medical students may necessitate a change in the prevailing interviewing style in all clinical teaching settings, and a relocation of a larger proportion of clinical clerkships from the hospital setting to primary care clinics and chronic care, home care, and hospice facilities, where students can establish a continuing relationship with patients.