Miracle-dz/UniFAR-FTUs huggingface dataset:
A survey on service quality description

Quality of service (QoS) can be a critical element for achieving the business goals of a service provider, for the acceptance of a service by the user, or for guaranteeing service characteristics in a composition of services, where a service is defined as either a software or a software-support (i.e., infrastructural) service which is available on any type of network or electronic channel. The goal of this article is to compare the approaches to QoS description in the literature, where several models and metamodels are included. consider a large spectrum of models and metamodels to describe service quality, ranging from ontological approaches to define quality measures, metrics, and dimensions, to metamodels enabling the specification of quality-based service requirements and capabilities as well as of SLAs (Service-Level Agreements) and SLA templates for service provisioning. Our survey is performed by inspecting the characteristics of the available approaches to reveal which are the consolidated ones and which are the ones specific to given aspects and to analyze where the need for further research and investigation lies. The approaches here illustrated have been selected based on a systematic review of conference proceedings and journals spanning various research areas in computer science and engineering, including: distributed, information, and telecommunication systems, networks and security, and service-oriented and grid computing.
Considerations for Culturally Sensitive Research With Transgender Adults: A Qualitative Analysis

Transgender (trans) individuals have historically been left out of research, and previous work has often conflated gender identity with sexual orientation. Furthermore, language used in psychology measures is often heteronormative and uses binary gendered language (e.g., “him”/“her”). The aim of the current study was to provide empirically derived guidance on conducting culturally sensitive research with transgender participants using qualitative data. We recruited trans individuals, ages 18 to 44, to participate in an anonymous, qualitative, national online survey as part of a quantitative study on the relationships among minority stress, sexual behavior, and mental health. The qualitative portion included four open-ended feedback questions. We identified four overarching themes regarding experiences with our survey: (a) emotional reaction; (b) insight gained; (c) being outside the box; and (d) value of the work. Research with trans adults should be more inclusive of diverse gender identities, sexual identities, and sexual behaviors. Steps in this direction may include soliciting feedback from community members regarding survey language and response options, allowing participants to contextualize their responses using open-ended questions, and clarifying language to distinguish between sexual behavior and sexual identity. A list of seven preliminary guidelines was proposed to aid scientists in conducting culturally sensitive research with trans individuals.
Nicotinic modulation of therapeutic response in vitro and in vivo

Tobacco use significantly increases the risk of developing cancer. Moreover, there is growing evidence that tobacco use decreases survival in cancer patients. Nicotine, a systemically available component of tobacco, is associated with tumor promotion and decreased apoptosis in cell culture; however, the role of nicotine on response to radiotherapy (RT) or chemoradiotherapy (CRT) in vivo has not been evaluated. Our study evaluated the effects of nicotine administration on cancer cell survival in cell culture and mouse models. Nicotine increased survival in two cell lines following RT in vitro. Nicotine administration in mice during fractionated RT or CRT increased xenograft regrowth as compared to RT or CRT alone. Nicotine increased hypoxia‐inducible factor 1‐alpha (HIF‐1α) expression in tumor xenografts without altering expression of carbonic‐anhydrase, a clinical marker of tumor hypoxia. The effects of nicotine on HIF‐1α expression were transient, returning to baseline levels within 2‐3 days after nicotine removal. Further mechanistic studies indicated that inhibition of phosphoinositide‐3‐kinase (PI3K) prevented nicotine‐mediated increases in HIF‐1α expression as well as the prosurvival effects of nicotine on RT. These findings imply that during tobacco use, nicotine may function as a systemic agent through acute and reversible regulation of HIF‐1α expression and a decreased therapeutic response.
Estimating Hantavirus Risk in Southern Argentina: A GIS-Based Approach Combining Human Cases and Host Distribution

We use a Species Distribution Modeling (SDM) approach along with Geographic Information Systems (GIS) techniques to examine the potential distribution of hantavirus pulmonary syndrome (HPS) caused by Andes virus (ANDV) in southern Argentina and, more precisely, define and estimate the area with the highest infection probability for humans, through the combination with the distribution map for the competent rodent host (Oligoryzomys longicaudatus). Sites with confirmed cases of HPS in the period 1995–2009 were mostly concentrated in a narrow strip (~90 km × 900 km) along the Andes range from northern Neuquén to central Chubut province. This area is characterized by high mean annual precipitation (~1,000 mm on average), but dry summers (less than 100 mm), very low percentages of bare soil (~10% on average) and low temperatures in the coldest month (minimum average temperature −1.5 °C), as compared to the HPS-free areas, features that coincide with sub-Antarctic forests and shrublands (especially those dominated by the invasive plant Rosa rubiginosa), where rodent host abundances and ANDV prevalences are known to be the highest. Through the combination of predictive distribution maps of the reservoir host and disease cases, we found that the area with the highest probability for HPS to occur overlaps only 28% with the most suitable habitat for O. longicaudatus. With this approach, we made a step forward in the understanding of the risk factors that need to be considered in the forecasting and mapping of risk at the regional/national scale. We propose the implementation and use of thematic maps, such as the one built here, as a basic tool allowing public health authorities to focus surveillance efforts and normally scarce resources for prevention and control actions in vast areas like southern Argentina.
Polyphenols: dietary assessment and role in the prevention of cancers

Purpose of review Polyphenols are a large and diverse family of phytochemicals widely consumed by humans. Here we summarize the latest epidemiological evidence for associations between cancer risk and polyphenol intake, taking into account difficulties in the accurate estimation of exposure. Recent findings Flavonoids are the most studied subgroup of polyphenols with regard to cancer risk. In recent epidemiological studies, total flavonoid intake has rarely been associated with a reduction in cancer risk. However, isoflavones, whose main dietary source is soy foods, plausibly reduce the risk of colorectal, breast, and prostate cancers, especially in Asian countries. Findings depend heavily upon the assessment of polyphenol intake, which is usually measured by food frequency questionnaires coupled to databases of food polyphenol composition. To a lesser extent, nutritional biomarkers have been used whenever estimating associations of polyphenol intake with cancer. Summary Polyphenol intake may mitigate cancer risk but this depends on cancer site, the subgroup of compounds under study, and accurate assessment of dietary exposure. Further work must better characterize the effects of intake of different flavonoid subclasses and begin to investigate the role of phenolic acids and other minor polyphenol classes.
Useful Feature Subsets and Rough Set Reducts

In supervised classiication learning, one attempts to induce a classiier that correctly predicts the label of novel instances. We demonstrate that by choosing a useful subset of features for the indis-cernibility relation, an induction algorithm based on simple decision table can have high prediction accuracy on artiicial and real-world datasets. We show that useful feature subsets are not necessarily maximal independent sets (relative reducts) with respect to the label, and that, in practical situations , using a subset of the relative core features may lead to superior performance.
Physical Turing Machines and the Formalization of Physical Cryptography

In this paper, we introduce two formal means by which physical adversarial actions and features can be modeled in cryptography and security: The concepts of a “physical Turing machine (PhTM or φ-TM)” and of a “technology” on which the PhTM operates. We show by two examples how these concepts can be applied: Firstly, we sketch their use in formalizing physical adversarial computations (quantum computation [4], optical techniques [26, 15], etc.) in classical cryptpography, which an adversary might carry out to attack complexity-based schemes. Secondly, we work out in more detail the application of PhTMs in the formal treatment of physical unclonable functions and physical cryptography in general, in which disordered, unclonable physical objects are used for cryptographic purposes. PhTMs allow a rigid formal expression of the required properties of these objects (such as their physical unclonability), and enable us to lead formal reductionist proofs in this field. The hybrid nature of PhTMs thereby allows us to combine physical with computational assumptions in the proof. As an example, we lead a formal proof of a physical scheme that combines a classical digital signature with an unclonable, unique object in order to “label” or “tag” valuable objects securely and in a forgery-proof manner. We stress that PhTMs as introduced in this paper cannot directly and straightforwardly answer the question which physical tasks are eventually feasible and infeasible in our universe. But such an expectation would be unreasonably high; recall that classical Turing machines also do not allow to draw a simple line between feasible and infeasible computations, as the NP vs. P issue shows. Rather, they provide us with a formal backbone in which relevant physical security features can be expressed and security proofs can be led. Apart from the applications sketched in this paper, many other uses of PhTMs lie at hand, for example in defining security against side channels or invasive attacks, or in the development of a “physical” structural complexity theory, which are left to future work.
Trastuzumab-related cardiotoxicity in the elderly: a role for cardiovascular risk factors.

BACKGROUND Elderly breast cancer patients are usually excluded from clinical trials. Nevertheless, with the increasing use of trastuzumab, there is a need to address trastuzumab-related cardiotoxicity in this population. PATIENTS AND METHODS Records for patients ≥ 70 years treated with trastuzumab since 2005 were reviewed. New York Heart Association classification was used to document symptomatic cardiotoxicity. Asymptomatic cardiotoxicity was defined as an absolute drop ≥ 10% with a final left ventricular ejection fraction < 50% or an absolute drop > 20%. RESULTS Forty-five patients, median age 75.9 years (range 70-92), were identified. Three of 24 (12.5%) early breast cancer patients and 5 of 21 (23.8%) with advanced disease experienced asymptomatic cardiotoxicity. Four of 45 patients (8.9%), all with advanced breast cancer, developed symptomatic congestive heart failure. All but one of them recovered in a median time of 5 weeks (range 3-21). Patients with trastuzumab-related cardiotoxicity presented more often with cardiovascular risk factors, such as history of cardiac disease (33% versus 9.1%, P = 0.017) and diabetes (33.3% versus 6.1%, P = 0.010), compared with those without. CONCLUSIONS Elderly breast cancer patients with a history of cardiac disease and/or diabetes treated with trastuzumab have an increased incidence of cardiotoxicity. Continuous cardiac monitoring is especially advised in this population.
Prevention of Domain Swapping Inhibits Dimerization and Amyloid Fibril Formation of Cystatin C

Amyloidogenic proteins like cystatin C and prion proteins have been shown to form dimers by exchange of subdomains of the monomeric proteins. This process, called “three-dimensional domain swapping,” has also been suggested to play a part in the generation of amyloid fibrils. One variant of cystatin C, L68Q cystatin C, is highly amyloidogenic, and persons carrying the corresponding gene suffer from massive cerebral amyloidosis leading to brain hemorrhage and death in early adult life. The present work describes the production of two variants of wild type and L68Q cystatin C with disulfide bridges at positions selected to inhibit domain swapping without affecting the biological function of the four cystatin C variants as cysteine protease inhibitors. The capacity of the four variant proteins to form dimers was tested and compared with that of wild type and L68Q cystatin C. In contrast to the latter two proteins, all four protein variants stabilized by disulfide bridges were resistant toward the formation of dimers. The capacity of the two stabilized variants of wild type cystatin C to form amyloid fibrils was investigated and found to be reduced by 80% compared with that of wild type cystatin C. In an effort to investigate whether exogenous agents could also suppress the formation of dimers of wild type and L68Q cystatin C, a monoclonal antibody or carboxymethylpapain, an inactivated form of a cysteine protease, was added to systems inducing dimerization of wild type and L68Q cystatin C. It was observed that catalytic amounts of both the monoclonal antibody and carboxymethylpapain could suppress dimerization.
Embodied Cognition and the Simulation of Action to Understand Others

Understanding the goals or intentions of other people requires a broad range of evaluative processes including the decoding of biological motion, knowing about object properties, and abilities for recognizing task space requirements and social contexts. It is becoming increasingly evident that some of this decoding is based in part on the simulation of other people's behavior within our own nervous system. This review focuses on aspects of action understanding that rely on embodied cognition, that is, the knowledge of the body and how it interacts with the world. This form of cognition provides an essential knowledge base from which action simulation can be used to decode at least some actions performed by others. Recent functional imaging studies or action understanding are interpreted with a goal of defining conditions when simulation operations occur and how this relates with other constructs, including top‐down versus bottom‐up processing and the functional distinctions between action observation and social networks. From this it is argued that action understanding emerges from the engagement of highly flexible computational hierarchies driven by simulation, object properties, social context, and kinematic constraints and where the hierarchy is driven by task structure rather than functional or strict anatomic rules.
Kansas City Cardiomyopathy Questionnaire Utility in Prediction of 30-Day Readmission Rate in Patients with Chronic Heart Failure

Background. Heart failure (HF) is one of the most common diagnoses associated with hospital readmission. We designed this prospective study to evaluate whether Kansas City Cardiomyopathy Questionnaire (KCCQ) score is associated with 30-day readmission in patients hospitalized with decompensated HF. Methods and Results. We enrolled 240 patients who met the study criteria. Forty-eight (20%) patients were readmitted for decompensated HF within thirty days of hospital discharge, and 192 (80%) patients were not readmitted. Compared to readmitted patients, nonreadmitted patients had a higher average KCCQ score (40.8 versus 32.6, P = 0.019) before discharge. Multivariate analyses showed that a high KCCQ score was associated with low HF readmission rate (adjusted OR = 0.566, P = 0.022). The c-statistic for the base model (age + gender) was 0.617. The combination of home medication and lab tests on the base model resulted in an integrated discrimination improvement (IDI) increase of 3.9%. On that basis, the KCQQ further increased IDI of 2.7%. Conclusions. The KCCQ score determined before hospital discharge was significantly associated with 30-day readmission rate in patients with HF, which may provide a clinically useful measure and could significantly improve readmission prediction reliability when combined with other clinical components.
Mutation in a heat‐regulated hsp70 gene of Ustilago maydis.

Four genes (ums1, ums2, ums3 and ums4) representing an hsp70‐related gene family were isolated from a genomic library of Ustilago maydis. All four genes are transcriptionally active during normal growth. Following a heat shock, the mRNA levels of ums1 and ums2 increase by approximately 5‐fold, whereas the ums3 transcript becomes less abundant. The amount of ums4 mRNA remains relatively unchanged after heat treatment. The nucleotide sequence of the 5′ non‐coding and a portion of the ums2 coding region was determined. The sequence encoding the first 90 amino acids is 73% identical to corresponding regions of the Drosophila and yeast (SSA1) hsp70 genes. To investigate the effect of a mutation in ums2, a plasmid was constructed in which most of the transcriptional unit of ums2 was deleted and substituted with the Escherichia coli hygromycin B (hygB) phosphotransferase gene. Transcription of this gene is controlled by the ums2 promoter, allowing the expression of hygB resistance in Ustilago. The marker was introduced into diploid cells as a linear sequence with termini homologous to the 5′ and 3′ flanking regions of ums2. In approximately 50% of transformants examined, one of the two wild‐type ums2 alleles had been replaced by the mutated sequence, demonstrating the feasibility of using one‐step gene disruption to create heterozygous diploids in Ustilago. The ums2/ums2::hygBr heterozygote produced teliospores after injection into corn plants, but only cells carrying functional ums2 were found among their meiotic progeny. Therefore ums2::hygBr segregates as a recessive lethal, which strongly suggests that ums2 is essential for growth in Ustilago.
Morphology of the terminal bronchiolar region of common laboratory mammals

The histomorphology of the terminal bronchiolar region of the mouse, rat, hamster, guineapig, gerbil and rabbit was studied. Although some general structural similarities existed in the progressive intrapulmonary branching pattern of the airway tree between species, there were conflicting accounts in the literature about the presence of the respiratory bronchioles in common laboratory mammals. In our light microscopy study we failed to detect the existence of typical respiratory bronchioles with characteristic interruptions on their walls projecting into the alveoli. Frequently in these species the terminal bronchioles were short and abrupt, opening directly into several alveolar ductules.
Melanoma-specific CD4+ T cells recognize nonmutated HLA-DR-restricted tyrosinase epitopes

Tyrosinase was the first melanoma-associated antigen shown to be recognized by CD4+ T cells. In this study, we have identified two HLA- DRB1*0401-restricted peptides recognized by these T cells: Ty 56-70 and Ty 448-462. As with many of the MHC class I-restricted melanoma epitopes, both are nonmutated self peptides that have intermediate and weak MHC binding affinities, respectively. Mutated and truncated versions of these peptides were used to define their MHC binding anchor residues. Anchor residues were then modified to derive peptides with increased MHC binding affinities and T cell stimulatory properties. Ty 56-70 and Ty 448-462 enhance the list of immunogenic HLA-A2-, A24-, and B44-restricted tyrosinase peptides already described. Thus, tyrosinase provides a model for anti-melanoma vaccines in which a single molecule can generate multivalent immunization incorporating both CD4+ and CD8+ T cell responses.
Imbalanced Decision Hierarchy in Addicts Emerging from Drug-Hijacked Dopamine Spiraling Circuit

Despite explicitly wanting to quit, long-term addicts find themselves powerless to resist drugs, despite knowing that drug-taking may be a harmful course of action. Such inconsistency between the explicit knowledge of negative consequences and the compulsive behavioral patterns represents a cognitive/behavioral conflict that is a central characteristic of addiction. Neurobiologically, differential cue-induced activity in distinct striatal subregions, as well as the dopamine connectivity spiraling from ventral striatal regions to the dorsal regions, play critical roles in compulsive drug seeking. However, the functional mechanism that integrates these neuropharmacological observations with the above-mentioned cognitive/behavioral conflict is unknown. Here we provide a formal computational explanation for the drug-induced cognitive inconsistency that is apparent in the addicts' “self-described mistake”. We show that addictive drugs gradually produce a motivational bias toward drug-seeking at low-level habitual decision processes, despite the low abstract cognitive valuation of this behavior. This pathology emerges within the hierarchical reinforcement learning framework when chronic exposure to the drug pharmacologically produces pathologicaly persistent phasic dopamine signals. Thereby the drug hijacks the dopaminergic spirals that cascade the reinforcement signals down the ventro-dorsal cortico-striatal hierarchy. Neurobiologically, our theory accounts for rapid development of drug cue-elicited dopamine efflux in the ventral striatum and a delayed response in the dorsal striatum. Our theory also shows how this response pattern depends critically on the dopamine spiraling circuitry. Behaviorally, our framework explains gradual insensitivity of drug-seeking to drug-associated punishments, the blocking phenomenon for drug outcomes, and the persistent preference for drugs over natural rewards by addicts. The model suggests testable predictions and beyond that, sets the stage for a view of addiction as a pathology of hierarchical decision-making processes. This view is complementary to the traditional interpretation of addiction as interaction between habitual and goal-directed decision systems.
Insulin action on heart and skeletal muscle glucose uptake in weight lifters and endurance athletes.

There are no studies comparing myocardial metabolism between endurance- and resistance-trained athletes. We used 2-deoxy-2-[18F]fluoro-d-glucose and positron emission tomography combined with the euglycemic hyperinsulinemic clamp technique to compare the ability of insulin to stimulate myocardial, skeletal muscle, and whole body glucose uptake between weight lifters ( n = 8), endurance athletes ( n = 8), and sedentary men ( n = 9). Maximal aerobic power (ml ⋅ kg- 1 ⋅ min- 1) was higher in the endurance athletes (71 ± 2, P < 0.001) than the weight lifters (42 ± 2) and the sedentary men (42 ± 2). Skeletal muscle glucose uptake (μmol ⋅ kg muscle- 1 ⋅ min- 1) was enhanced in the endurance athletes (125 ± 16, P < 0.01) but was similar in weight lifters (59 ± 12) and sedentary (63 ± 7) men. The rate of glucose uptake per unit mass of myocardium (μmol ⋅ kg- 1 ⋅ min- 1) was similarly decreased in endurance athletes (544 ± 50) and weight lifters (651 ± 45) compared with sedentary men (1,041 ± 78, P < 0.001 vs. endurance athletes and weight lifters). Both groups of athletes had increased left ventricular mass. Consequently, total left ventricular glucose uptake was comparable in all groups. These data demonstrate that aerobic but not resistance training is associated with enhanced insulin sensitivity in skeletal muscle. Despite this, cardiac changes are remarkably similar in weight lifters and endurance athletes and are characterized by an increase in left ventricular mass and diminished insulin-stimulated glucose uptake per heart mass.