Miracle-dz/UniFAR-FTUs huggingface dataset:
Renal insufficiency and cancer treatments

Renal insufficiency has been shown to be highly prevalent in patients with cancer. This renal insufficiency has been reported to be associated with reduced overall survival and increased cancer-related mortality. Therefore, it is important to screen patients with cancer for renal insufficiency, using an adequate and reliable method of estimation of the renal function. Renal insufficiency may influence 1 or several of the 4 pharmacokinetic phases (absorption, distribution, metabolism, elimination/excretion), potentially resulting in marked modifications of the pharmacokinetic profile of a drug in patients with renal insufficiency. Consequently, it is potentially necessary to adjust the dosage of anticancer drugs in case of renal insufficiency in order to avoid drug accumulation and in order to reduce overdosage-related side effects. This dosage adjustment of anticancer drugs should be performed according to the level of renal function and with an appropriate and validated method. It is not always easy to find clear information on anticancer drug handling in these patients. However, several guidelines, publications and handbooks are available on how to adjust anticancer drug dosages in patients with renal insufficiency and will help practitioners to manage anticancer drugs in such patients.
Asperger's syndrome: a clinical account

SYNOPSIS The clinical features, course, aetiology, epidemiology, differential diagnosis and management of Asperger's syndrome are described. Classification is discussed and reasons are given for including the syndrome, together with early childhood autism, in a wider group of conditions which have, in common, impairment of development of social interaction, communication and imagination.
METALLICITY ANALYSIS OF MACHO GALACTIC BULGE RR0 LYRAE STARS FROM THEIR LIGHT CURVES

We present metallicities of 2690 RR0 Lyrae stars observed toward the MACHO Survey fields in the Galactic bulge. These [Fe/H] values are based upon an empirically-calibrated relationship that uses the Fourier coefficients of the light curve and are accurate to ±0.2 dex. The majority of the RR0 Lyrae stars in our sample are located in the Galactic bulge, but 255 RR0 stars are associated with the Sagittarius (Sgr) dwarf galaxy. We find that the RR0 Lyrae stars that belong to the Galactic bulge have average metallicities [Fe/H] = −1.25, with a broad metallicity range from [Fe/H] = −2.26 to −0.15. The RR0 stars from the Sgr dwarf galaxy have lower average metallicity of [Fe/H] = −1.55 ± 0.02, with an intrinsic dispersion of 0.25 dex, similar to that in the bulge. A correlation between metallicity and galactocentric distance is found, in a sense that for the metal-poor RR0 Lyrae stars ([Fe/H]<−1.5 dex), the closer a star is to the Galactic center, on average, the more metal-rich it is. However, for the metal-rich RR0 Lyrae stars ([Fe/H] >−1.2 dex), this trend is reversed. Using mean magnitudes of MACHO RR Lyrae stars, we searched for the evidence of the Galactic bar and found marginal evidence of a bar. The absence of a strong bar indicates that the RR Lyrae in the bulge represent a different population than the majority of the bulge stars, which are metal-rich and are part of a bar.
Area and Recon ! guration Time Minimization of the Communication Network in Regular 2 D Recon ! gurable Architectures

In this paper, we introduce a constraint programmingbased approach for the optimization of area and of recon! guration time for communication networks for a class of regular 2D recon! gurable processor array architectures. For a given set of different algorithms the execution of which is supposed to be switched upon request at run-time, we provide static solutions for the optimal routing of data between processors. Here, we support also multi-casting data transfers for the ! rst time. The routing found by our method minimizes the area or the recon! guration time of the communication network, when switching between the execution of these algorithms. In fact, when switching, the communication network recon! guration can be executed in just a few clock cycles. Moreover the communication network area can be minimized signi! cantly (62% in average).
The EU, a Growth Engine? The Impact of European Integration on Economic Growth in Central Eastern Europe

This paper investigates how the European integration process of central eastern European countries, which has been taking place since the 1990’s, affects their GDP growth. Based on an augmented Solow model, I estimate a convergence equation for a panel of ten countries over 16 years (1995-2010). In the regression, trade with the other European Union member states as a share of total trade serves as a measure of European integration. I find a small, but significant medium-run growth bonus from integration, which is robust to alternative specifications of the regression equation and of the variables of interest. The results are confirmed by a supplementary analysis at the industry level using a difference-in-difference type of estimation strategy. The paper thus provides an argument in favour of European integration.
Electronic Commerce Software Agents : How to Increase Their Machine IQ ?

The growth of the Internet is currently occurring at phenomenal rates. In this new environment, agents are needed to support our activities, ranging from simple Web surfing to sales and shopping. For instance, effective agents will change the nature of sales on the Internet from the current basic sales scheme to a full customer management approach. Agents can change the nature of interactions on the Internet from simple access to large databases, to dynamic and personalized information and advice sources. To implement this approach information systems will have to (1) learn their users’ criteria and (2) learn how to aggregate information from different mediums and help to reinforce this information using these mediums. In order to perform both these tasks, these agents must be intelligent and embedded in software. This paper discusses the results of several investigations addressing the question’s: How does one provide intelligence to electronic commerce software agents?
Evaluating of Life Quality in Patients with Acne Vulgaris Using Generic and Specific Questionnaires

Background. Acne vulgaris is a common skin disease that can adversely affect the quality of life of patients. Objective. The aim of this study was to determine the quality of life in patients with acne vulgaris. Methods. This study was carried out on 70 patients with acne vulgaris (28 males, 42 females). All the patients filled out two Persian versions of questionnaires: short form 36 (SF-36) and Dermatology Life Quality Index (DLQI). The obtained data were analyzed by using SPSS software (version 17). Results. The scores for physical functioning, social functioning, and bodily pain domains in patients were over 70%, but the scores for role physical, general health, vitality, role emotional, and mental health in patients were under 70%. Scores on the DLQI in patients with acne vulgaris ranged from 0 to 22 (mean ± SD, 8.18 ± 4.83). After comparing mean score of DLQI with respect to gender and age, it was found that the difference between the two groups was not statistically significant. Conclusion. Acne vulgaris has a significant effect on the quality of life. There was not any significant gender or age related difference in QOL.
Relationship between Serum Ferritin Levels and Dyslipidemia in Korean Adolescents

Background Ferritin is associated with various cardiometabolic risk factors such as dyslipidemia, hypertension, obesity, and insulin resistance in adults. We aimed to study the association between serum ferritin levels and dyslipidemia in adolescents, because dyslipidemia is considered an important modifiable cardiovascular risk factor in the young. Methods We analyzed 1,879 subjects (1,026 boys and 853 girls) from the 2009–2010 Korean National Health and Nutrition Examination Survey IV. Subjects were categorized into quartiles according to their lipid parameters, which were classified according to age and gender. Those in the highest quartile groups for total cholesterol, low-density lipoprotein cholesterol (LDL-C), and triglyceride concentrations were diagnosed as having dyslipidemia. Those in the lowest quartile for high-density lipoprotein cholesterol (HDL-C) values were diagnosed with abnormal levels. Results In boys, total cholesterol, LDL-C, and triglyceride concentrations were significantly correlated with serum ferritin levels. In both boys and girls, serum ferritin levels were negatively associated with HDL-C values, even after adjusting for all covariates. Furthermore, there was no significant correlation between serum ferritin levels and total cholesterol, LDL, and triglyceride concentrations in girls. Conclusion Serum ferritin levels were significantly associated with major dyslipidemia parameters, more prominently in boys than in girls, and this association represents a cardiometabolic risk factor.
Therapeutic relationship and concordance of client- and clinician-rated motivational goals in treatment of people with psychosis: an exploratory study

ABSTRACT Addressing motives determining behavior and experiences of people in treatment for psychosis could improve the therapeutic relationship. This pilot study explored the association between the concordance of clients’ and clinicians’ ratings of clients’ motivational goals and the therapeutic relationship in the treatment of psychosis. Twenty in- and outpatients diagnosed with a psychotic disorder in a general psychiatric setting answered measures addressing motivational goals and the therapeutic relationship. Fifteen clinicians rated their clients’ motivational goals and psychopathology. The concordance between clients’ and clinicians’ ratings of approach goals was not associated with clients’ ratings of the therapeutic relationship. However, a higher concordance in avoidance goals ratings was significantly correlated with less satisfaction with the therapeutic relationship. This finding might be understood in light of explicit (i.e. conscious) and implicit (i.e. non-conscious) avoidance goals: The more difficulties clinicians had in recognizing their clients’ implicit goals, the more they may have only rated and considered the clients’ explicit goals. This could have resulted in both a higher concordance rating between clients and clinicians, and less client satisfaction with the therapeutic relationship (because of unintended threats for implicit avoidance goals). Future studies with larger samples are needed that separately examine explicit and implicit motivational goals of people in treatment for psychosis.
Introduction to Interpersonal Acceptance-Rejection Theory (IPARTheory) and Evidence

Interpersonal acceptance-rejection theory (IPARTheory) is an evidence-based theory of socialization and lifespan development. It is composed of three subtheories, each of which deals with a separate but interrelated set of issues. IPARTheory’s personality subtheory – which is the most highly developed component of the theory – deals primarily with the pancultural nature and effects of interpersonal acceptance and rejection. Coping subtheory explores the fact that some individuals are better able to cope with experiences of perceived rejection than are other individuals. Finally, IPARTheory’s sociocultural systems subtheory attempts to predict and explain major causes and sociocultural correlates of interpersonal acceptance-rejection worldwide. Empirical evidence overwhelmingly supports the theory’s major postulates and predictions, especially postulates and predictions in personality subtheory. Emerging evidence about the neurobiological and biochemical risks posed for the development, structure, and function of the human brain are beginning to help explain why these postulates and predictions are so consistently confirmed panculturally. Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. This article is available in Online Readings in Psychology and Culture: https://scholarworks.gvsu. edu/orpc/vol6/iss1/ 4 Overview of Interpersonal Acceptance-Rejection Theory
Evaluation of signal-to-noise and distortion ratio degradation in nonlinear systems

This paper presents a new figure-of-merit to evaluate signal-to-noise and distortion (SINAD) ratio degradation in nonlinear systems, herein referred to as the noise and distortion figure (NDF). In order to obtain a mathematical formula for this NDF, the best linear approximation calculation is presented for memoryless and dynamic nonlinear systems, which can be modeled by a finite Volterra series. To the best of the authors' knowledge, this is the first time such an attempt of calculating the NDF for a nonlinear and dynamic system is made. NDF results are discussed in both types of systems by means of numerical simulations of systems up to the third order.
Metallic behavior and related phenomena in two dimensions

For about twenty years, it has been the prevailing view that there can be no metallic state or metal-insulator transition in two dimensions in zero magnetic field. In the last several years, however, unusual behavior suggestive of such a transition has been reported in a variety of dilute two-dimensional electron and hole systems. The physics behind these observations is presently not understood. We review and discuss the main experimental findings and suggested theoretical models.
Not Every Bit Counts

Many applications involving machine-to-machine (M2M) communications are characterized by the large amount of data to transport. To support these M2M applications, we argue in this article that instead of focusing on serving individual machines with better quality, one should focus on solutions that can better serve the data itself. To substantiate, we consider the application of data gathering from a set of machines that communicate directly to an aggregator. Since the aggregator has limited radio resources, the problem arises as to how the resource can be effectively utilized for supporting such an application. We investigate “data-centric” resource allocation that aims to maximize information entropy of data collected through selecting the subset of machines to transmit, determining the amount of resources to allocate, and scheduling the sequence of transmissions. We present two instantiations of the problems when machines can perform distributed source coding or dependent source coding based on the data overheard from neighboring machines and then propose algorithms for solving the joint optimization problems. Evaluation results show that compared to conventional “machine-centric” resource allocation that aims to maximize the aggregate data rates or number of supported machines, “data-centric” resource allocation exhibits significant performance gain in terms of the quality of data that can be collected for the given amount of radio resources.
Did Herding Cause the Stock Market Bubble of 1998-2001 ?

This paper tests for the presence of herding on the New York Stock Exchange (NYSE) from 1998-2001 using a set of two new methodologies based on (1) a bootstrapped runs test, and (2), a test of dependence in the observed interarrival times of trades. Our first and the most important finding is that the NYSE appears to function efficiently for the most part, and shows little evidence of systemic herding. Second, the herding is largely confined to smaller stocks. Third, we find a weak negative relationship between dispersion of opinion among investors and herding measures. Lastly, the limited amount of herding found in stocks helps to quickly impound fundamental information into security prices, thus making markets more efficient.
Peer Victimization Is Associated With Neural Response to Social Exclusion

Abstract:Peer victimization is associated with increased risk for mental health problems. These adverse psychological outcomes are linked with altered cognitive and emotional processes and their related neural functioning. In the present study, by using functional magnetic resonance imaging (fMRI), we examined whether peer victimization was associated with heightened neural response to social exclusion. Participants (N = 45; Mage = 17.7 years, SD = 0.60; 36 women) included three mutually exclusive groups: peer-victimized individuals (targets of bullying), cyberdefenders (defended peers who were being cyberbullied), and controls (not involved as targets or cyberdefenders). All participants underwent an fMRI scan while playing Cyberball, an experimental paradigm that simulates social exclusion. Peer victimization was associated with increased neural response in the left amygdala, left parahippocampal gyrus, left inferior frontal operculum, and right fusiform gyrus. Understanding the acute neural response to social exclusion in peer-victimized individuals may provide insight into their increased risk for poor mental health.
DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine

Biomarker-driven drug selection plays a central role in cancer drug discovery and development, and in diagnostic strategies to improve the use of traditional chemotherapeutic drugs. DNA-modifying anticancer drugs are still used as first line medication, but drawbacks such as resistance and side effects remain an issue. Monitoring the formation and level of DNA modifications induced by anticancer drugs is a potential strategy for stratifying patients and predicting drug efficacy. In this perspective, preclinical and clinical data concerning the relationship between drug-induced DNA adducts and biological response for platinum drugs and combination therapies, nitrogen mustards and half-mustards, hypoxia-activated drugs, reductase-activated drugs, and minor groove binding agents are presented and discussed. Aspects including measurement strategies, identification of adducts, and biological factors that influence the predictive relationship between DNA modification and biological response are addressed. A positive correlation between DNA adduct levels and response was observed for the majority of the studies, demonstrating the high potential of using DNA adducts from anticancer drugs as mechanism-based biomarkers of susceptibility, especially as bioanalysis approaches with higher sensitivity and throughput emerge.
DFC: Accelerating String Pattern Matching for Network Applications

Middlebox services that inspect packet payloads have become commonplace. Today, anyone can sign up for cloud-based Web application firewall with a single click. These services typically look for known patterns that might appear anywhere in the payload. The key challenge is that existing solutions for pattern matching have become a bottleneck because software packet processing technologies have advanced. The popularization of cloud-based services has made the problem even more critical. This paper presents an efficient multi-pattern string matching algorithm, called DFC. DFC significantly reduces the number of memory accesses and cache misses by using small and cache-friendly data structures and avoids instruction pipeline stalls by minimizing sequential data dependency. Our evaluation shows that DFC improves performance by 2.0 to 3.6 times compared to state-of-the-art on real traffic workload obtained from a commercial network. It also outperforms other algorithms even in the worst case. When applied to middlebox applications, such as network intrusion detection, anti-virus, and Web application firewalls, DFC delivers 57-160% improvement in performance.
Informing efforts to prevent family maltreatment among airmen: A focus on personal resilience

ABSTRACT Family maltreatment is a serious public health concern within civilian and military populations. The U.S. Air Force Family Advocacy Program (FAP) delivers services to active-duty Air Force members and their families that aim to promote personal resilience and prevent maltreatment perpetration among those most at risk. Informed by family resilience and ecological perspectives, the purpose of this study is to empirically test a theory of change or conceptual model that could serve as an evidence-informed foundation for the selection of prevention interventions used by military and FAP service providers. A representative sample of 30,541 active-duty Air Force members from the 2011 Air Force Community Assessment Survey was analyzed, comprising participants who had at least one child and who were in a committed relationship. Structural equation modeling was employed to test the hypothesized model. Neighborhood safety was analyzed as a moderating influence. With a focus on personal resilience as an asset-based outcome, results indicated that personal resilience among airmen was positively associated with features of individual fitness, informal support, adaptive family processes, and unit leader support. Results also indicated that neighborhood safety significantly moderated associations in the empirical model.
WINDOW OPENING BEHAVIOUR IN A NATURALLY VENTILATED SCHOOL

Several studies have highlighted the significant disparities between the predicted performance of new buildings and their post occupancy measured performance. Occupant window opening behaviour has been shown to have a significant impact on both classroom indoor air quality and building energy use; and is currently poorly represented in building simulation tools. A post occupancy assessment of a new primary school was performed over a period of over one year. Concurrent measurement of window open state, CO2 concentration, temperature, and exterior environmental conditions were taken at a frequency of two minutes. In addition, classroom daily occupancy levels and monthly building energy usage were recorded. A probabilistic model of the proportion of windows open throughout the day as the occupants interact with the windows was developed based on the results of multinomial logistic regression analysis. The model was used to schedule window opening in the EnergyPlus simulation program. Predictions of both CO2 concentration and building energy performance, using the occupant behaviour model, were shown to give more accurate predictions than a model based on temperature set points.
Arab-Origin Students’ Experiences of Learning Turkish: A Case Study

The purpose of this study is to consider the Turkish learning situations of the 16 Arab-origin students learning Turkish at TÖMER subordinate to a state university in the Aegean region from the perspectives of both students and the teachers who teach them Turkish and investigate their language learning experiences from many perspectives. In order to achieve this goal, a qualitative research method was used. Data were collected from the participating students and lecturers through semi-structured interviews. The method of content analysis was used in the data analysis. Based on the findings obtained in the data analysis, it was concluded that the students stated that; they learnt Turkish to study at a university and because they had to live in Turkey; they had the most difficulty in the writing skill; they found the Turkish lessons difficult due to the different language structure and alphabet. On the other hand, the participating lecturers stated that; the students had difficulties in writing; they used Turkish by having conversations with Turkish native speakers and at work; the mistakes they made the most were suffix and spelling mistakes, and in order to solve these problems, they got the students to play concept games, and had lessons in different places outside the classroom by getting the students to do a lot of practice.