LLukas22/scidocs huggingface dataset:
Securing Java with Local Policies

Massimo Bartoletti Dipartimento di Matematica e Informatica, Università degli Studi di Cagliari, Italy Gabriele Costa Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Italy Pierpaolo Degano Dipartimento di Informatica, Università di Pisa, Italy Fabio Martinelli Istituto di Informatica e Telematica, Consiglio Nazionale delle Ricerche, Italy Roberto Zunino Dipartimento di Ingegneria e Scienza dell’Informazione, Università degli Studi di Trento, Italy
The ACL anthology network corpus

We introduce the ACL Anthology Network (AAN), a manually curated networked database of citations, collaborations, and summaries in the field of Computational Linguistics. We also present a number of statistics about the network including the most cited authors, the most central collaborators, as well as network statistics about the paper citation, author citation, and author collaboration networks.
Concentrations, sources and spatial distribution of polycyclic aromatic hydrocarbons in soils from Beijing, Tianjin and surrounding areas, North China.

The concentrations, profiles, sources and spatial distribution of polycyclic aromatic hydrocarbons (PAHs) were determined in 40 surface soil samples collected from Beijing, Tianjin and surrounding areas, North China in 2007, and all sampling sites were far from industrial areas, roadsides and other pollution sources, and across a range of soil types in remote, rural villages and urban areas. The total concentrations of 16 PAHs ranged from 31.6 to 1475.0 ng/g, with an arithmetic average of 336.4 ng/g. The highest PAH concentrations were measured in urban soils, followed by rural village soils and soils from remote locations. The remote-rural village-urban PAH concentration gradient was related to population density, gross domestic product (GDP), long-range atmospheric transport and different types of land use. In addition, the PAH concentration was well correlated with the total organic carbon (TOC) concentration of the soil. The PAH profile suggested that coal combustion and biomass burning were primary PAH sources.
Effects of physical activity on the fatigue and psychologic status of cancer patients during chemotherapy.

BACKGROUND
Fatigue is a common and often severe problem in cancer patients undergoing chemotherapy. The authors postulated that physical activity training can reduce the intensity of fatigue in this group of patients.


METHODS
A group of cancer patients receiving high dose chemotherapy followed by autologous peripheral blood stem cell transplantation (training group; n = 27) followed an exercise program during hospitalization. The program was comprised of biking on an ergometer in the supine position following an interval training pattern for 30 minutes daily. Patients in the control group (n = 32) did not train. Psychologic distress was assessed at hospital admission and discharge with the Profile of Mood States and Symptom Check List 90.


RESULTS
By the time of hospital discharge, fatigue and somatic complaints had increased significantly in the control group (P for both < 0.01) but not in the training group. Furthermore, by the time of hospital discharge, the training group had a significant improvement in several scores of psychologic distress (obsessive-compulsive traits, fear, interpersonal sensitivity, and phobic anxiety) (P value for all scores < 0.05); this outcome was not observed in the control group.


CONCLUSIONS
The current study found that aerobic exercise can reduce fatigue and improve psychologic distress in cancer patients undergoing chemotherapy.
Characteristics of health IT outage and suggested risk management strategies: An analysis of historical incident reports in China

BACKGROUND
The healthcare industry has become increasingly dependent on using information technology (IT) to manage its daily operations. Unexpected downtime of health IT systems could therefore wreak havoc and result in catastrophic consequences. Little is known, however, regarding the nature of failures of health IT.


OBJECTIVE
To analyze historical health IT outage incidents as a means to better understand health IT vulnerabilities and inform more effective prevention and emergency response strategies.


METHODS
We studied news articles and incident reports publicly available on the internet describing health IT outage events that occurred in China. The data were qualitatively analyzed using a deductive grounded theory approach based on a synthesized IT risk model developed in the domain of information systems.


RESULTS
A total of 116 distinct health IT incidents were identified. A majority of them (69.8%) occurred in the morning; over 50% caused disruptions to the patient registration and payment collection functions of the affected healthcare facilities. The outpatient practices in tertiary hospitals seem to be particularly vulnerable to IT failures. Software defects and overcapacity issues, followed by malfunctioning hardware, were among the principal causes.


CONCLUSIONS
Unexpected health IT downtime occurs more and more often with the widespread adoption of electronic systems in healthcare. Risk identification and risk assessments are essential steps to developing preventive measures. Equally important is institutionalization of contingency plans as our data show that not all failures of health IT can be predicted and thus effectively prevented. The results of this study also suggest significant future work is needed to systematize the reporting of health IT outage incidents in order to promote transparency and accountability.
On Shuffe Ideals of General Algebras

We extend a word language concept called shuffle ideal to general algebras. For this purpose, we introduce the relation SH and show that there exists a natural connection between this relation and the homeomorphic embedding order on trees. We establish connections between shuffle ideals, monotonically ordered algebras and automata, and piecewise testable tree languages.
Gaussian Process Regression for Fingerprinting based Localization

In this paper, Gaussian process regression (GPR) for fingerprinting based localization is presented. In contrast to general regression techniques, the GPR not only infers the posterior received signal strength (RSS) mean but also the variance at each fingerprint location. The GPR does take into account the variance of input i.e., noisy RSS data. The hyper-parameters of GPR are estimated using trust-region-reflective algorithm. The Cramér-Rao bound is analysed to highlight the performance of the parameter estimator. The posterior mean and variance of RSS data is utilized in fingerprinting based localization. The principal component analysis is employed to choose the k strongest wi-fi access points (APs). The performance of the proposed algorithm is validated using using real field deployments. Accuracy improvements of 10% and 30% are observed in two sites compared to the Horus fingerprinting approach. © 2016 Elsevier B.V. All rights reserved.
Random Hyperbolic Graphs: Degree Sequence and Clustering

In the last decades, the study of models for large real-world networks has been a very popular and active area of research. A reasonable model should not only replicate all the structural properties that are observed in real world networks (for example, heavy tailed degree distributions, high clustering and small diameter), but it should also be amenable to mathematical analysis. There are plenty of models that succeed in the first task but are hard to analyze rigorously. On the other hand, a multitude of proposed models, like classical random graphs, can be studied mathematically, but fail in creating certain aspects that are observed in real-world networks. Recently, Papadopoulos, Krioukov, Boguñá and Vahdat [INFOCOM’10] introduced a random geometric graph model that is based on hyperbolic geometry. The authors argued empirically and by some preliminary mathematical analysis that the resulting graphs have many of the desired properties. Moreover, by computing explicitly a maximum likelihood fit of the Internet graph, they demonstrated impressively that this model is adequate for reproducing the structure of real graphs with high accuracy. In this work we initiate the rigorous study of random hyperbolic graphs. We compute exact asymptotic expressions for the expected number of vertices of degree k for all k up to the maximum degree and provide small probabilities for large deviations. We also prove a constant lower bound for the clustering coefficient. In particular, our findings confirm rigorously that the degree sequence follows a power-law distribution with controllable exponent and that the clustering is nonvanishing.
Research Paper: The Risks of Multimedia Methods: Effects of Actor's Race and Gender on Preferences for Health States

OBJECTIVE
While the use of multimedia methods in medical education and decision support can facilitate learning, it also has certain hazards. One potential hazard is the inadvertent triggering of racial and gender bias by the appearance of actors or patients in presentations. The authors hypothesized that race and gender affect preferences. To explore this issue they studied the effects of actors' race and gender on preference ratings for health states that include symptoms of schizophrenia.


DESIGN
A convenience sample of patients with schizophrenia, family members of patients, and health professionals was used. Participants were randomly assigned to rate two health states, one portrayed by either a man of mixed race (Hispanic-black) or a white man and the second portrayed by either a white woman or a white man.


MEASUREMENTS
Visual analog scale (VAS) and standard gamble ratings of health state preferences for health states that include symptoms of mild and moderate schizophrenia.


RESULTS
Studies of the effects of the race of the actor (n = 114) revealed that racial mismatch between the actor and the participant affected the participant's preferences for health states. Ratings were lower when racial groups differed (mean difference, 0.098 for visual analog scale ratings and 0.053 lower in standard gamble, P = 0.006 for interactions between the race of the subject and the actor). In studies of the effects of a female actress on ratings (n = 117), we found no evidence of a corresponding interaction between the gender of the actor and the study participant. Rather, an interaction between actor's gender and method of assessment was observed. Standard gamble ratings (difference between means, 0.151), but not visual analog scale ratings (difference, 0.005), were markedly higher when the state was portrayed by the actress (P = 0.003 for interactions between actor's gender and method of preference assessment). Differential effects on standard gamble ratings suggest that an actor's gender may influence the willingness of viewers to gamble to gain health benefits (or risk attitude).


CONCLUSIONS
Educators and researchers considering the use of multimedia methods for decision support need to be aware of the potential for the race and gender of patients or actors to influence preferences for health states and thus, potentially, medical decisions.
Relationship between the domains of the Multidimensional Students' Life Satisfaction Scale, satisfaction with food-related life and happiness in university students.

AIM
To characterize types of university students based on satisfaction with life domains that affect eating habits, satisfaction with food-related life and subjective happiness.


MATERIALS AND METHODS
A questionnaire was applied to a nonrandom sample of 305 students of both genders in five universities in Chile. The questionnaire included the abbreviated Multidimensional Student's Life Satisfaction Scale (MSLSS), Satisfaction with Food-related Life Scale (SWFL) and the Subjective Happiness Scale (SHS). Eating habits, frequency of food consumption in and outside the place of residence, approximate height and weight and sociodemographic variables were measured.


RESULTS
Using factor analysis, the five-domain structure of the MSLSS was confirmed with 26 of the 30 items of the abbreviated version: Family, Friends, Self, Environment and University. Using cluster analysis four types of students were distinguished that differ significantly in the MSLSS global and domain scores, SWFL and SHS scores, gender, ownership of a food allowance card funded by the Chilean government, importance attributed to food for well-being and socioeconomic status.


CONCLUSIONS
Higher levels of life satisfaction and happiness are associated with greater satisfaction with food-related life. Other major life domains that affect students' subjective well-being are Family, Friends, University and Self. Greater satisfaction in some domains may counterbalance the lower satisfaction in others.
Pig pancreas anatomy: implications for pancreas procurement, preservation, and islet isolation.

BACKGROUND
Islet transplantation is emerging as a treatment option for selected patients with type 1 diabetes. The limited human islet supply from cadavers and poor islet yield and quality remain substantial impediments to progress in the field. Use of porcine islets holds great promise for large-scale application of islet transplantation. Consistent isolation of porcine islets is dependent on advances in pancreas procurement, pancreas preservation, and islet isolation, requiring detailed knowledge of the porcine pancreatic anatomy. The primary aim of this study was to describe the vascular and ductal anatomy of the porcine pancreas to guide and improve organ preservation and enzyme perfusion.


METHODS
Pancreata were removed by en bloc viscerectomy from 65 female Landrace pigs.


RESULTS
Fifteen percentage of organs exhibited inconsistent vascular branching from the celiac trunk. All organs showed uniform patterns of branching at the superior mesenteric artery. The superior and inferior mesenteric veins merged to become the portal vein in all but one case in which the inferior mesenteric vein drained into the splenic vein. Ninety-seven percent of pancreata had three lobes: duodenal lobe (DL), connecting lobe (CL), and splenic lobe (SL); 39% demonstrated ductal communication between the CL and the other two lobes; 50% had ductal communication only between the CL and duodenal lobe; and 11% presented other types of ductal delineation.


CONCLUSIONS
Accounting for the variations in vascular and ductal anatomy, as detailed in this study, will facilitate development of protocols for preservation, optimal enzyme administration, and pancreas distention and digestion, and will ultimately lead to substantial improvements in isolation outcomes.
On the wrong side of the trolley track: neural correlates of relative social valuation.

Using moral dilemmas, we (i) investigate whether stereotypes motivate people to value ingroup lives over outgroup lives and (ii) examine the neurobiological correlates of relative social valuation using fMRI. Saving ingroup members, who seem warm and competent (e.g. Americans), was most morally acceptable in the context of a dilemma where one person was killed to save five people. Extreme outgroup members, who seem neither warm nor competent (e.g. homeless), were the worst off; it was most morally acceptable to sacrifice them and least acceptable to save them. Sacrificing these low-warmth, low-competence targets to save ingroup targets, specifically, activated a neural network associated with resolving complex tradeoffs: medial PFC (BA 9, extending caudally to include ACC), left lateral OFC (BA 47) and left dorsolateral PFC (BA 10). These brain regions were recruited for dilemmas that participants ultimately rated as relatively more acceptable. We propose that participants, though ambivalent, overrode general aversion to these tradeoffs when the cost of sacrificing a low-warmth, low-competence target was pitted against the benefit of saving ingroup targets. Moral decisions are not made in a vacuum; intergroup biases and stereotypes weigh heavily on neural systems implicated in moral decision making.
Datatype-Generic Termination Proofs

Abstract
Datatype-generic programs are programs that are parameterised by a datatype. We review the allegorical foundations of a methodology of designing datatype-generic programs. The notion of F-reductivity, where F parametrises a datatype, is reviewed and a number of its properties are presented. The properties are used to give concise, effective proofs of termination of a number of datatype-generic programming schemas. The paper concludes with a concise proof of the well-foundedness of a datatype-generic occurs-in relation.
Prognostic Importance of Changes in Cardiac Structure and Function in Heart Failure With Preserved Ejection Fraction and the Impact of Spironolactone.

BACKGROUND
Limited data exist regarding the impact of aldosterone antagonist therapy on cardiac structure and function in heart failure with preserved ejection fraction and on the prognostic relevance of changes in cardiac structure and function in heart failure with preserved ejection fraction.


METHODS AND RESULTS
Cardiac structure and function were assessed by quantitative echocardiography at baseline and at 12- to 18-month follow-up in 239 patients with heart failure with preserved ejection fraction (left ventricular [LV] ejection fraction [LVEF] ≥45%) enrolled in the Treatment of Preserved Cardiac Function Heart Failure With an Aldosterone Antagonist (TOPCAT) trial. The impact of spironolactone therapy on measures of cardiac structure and function was assessed in the study population overall, and change in echocardiographic measures was associated with the subsequent occurrence of the primary composite outcome of cardiovascular death, heart failure hospitalization, or aborted cardiac arrest. Spironolactone was not associated with alterations in cardiac structure and function compared with placebo. Decrease in left atrial volume at follow-up was associated with a lower risk of subsequent occurrence of the primary outcome.


CONCLUSIONS
Twelve to 18 months of spironolactone therapy was not associated with alterations in cardiac structure or function in patients with heart failure with preserved ejection fraction. Reduction in left atrial volume at follow-up was associated with a lower risk of subsequent occurrence of the primary composite outcome.


CLINICAL TRIAL REGISTRATION
URL: http:///www.clinicaltrials.gov. Unique identifier: NCT00094302.
Determination of difficult intubation in the ED.

OBJECTIVE
The aim of this study is to determine the predictors of difficult intubation in the emergency setting.


METHODS
This prospective observational clinical study was conducted in the emergency department (ED) of a University Hospital with an annually census of 50 000 visits from May 2005 to May 2007. All patients requiring intubation in the ED were included into the study. During the study period, same airway management protocol was used all intubations. The study form included patient's demographic and variables according to intubation such as the Cormack-Lehane grade, modified LEMON score, Glasgow Coma Scale score, success rate, and associated complications.


RESULTS
A total of 366 patients were included in the study. The mean age of the study patients was 46.8 +/- 22.8, and 68.6% (n = 251) of them were male. A total of 86 (23.5%) patients were classified in the difficult intubation group and 280 (76.5%) patients in easy intubation group. Logistic regression analysis performed by the variables found to be significant in the univariate analysis revealed thyroid-to-hyoid distance less than 2 fingers (odds ratio, 3.34; 95% confidence interval, 1.35-8.27; P = .009) as an independent factor complicating the intubation. Cormack and Lehane classification was strongly related to difficult intubation. Intubation was more difficult from grade 1 to 4 (11% vs 25.2% vs 34% vs 81.8%, respectively; P = .000).


CONCLUSIONS
The thyroid-to-hyoid distance less than 2 fingers is the only independent variable in predicting difficult intubation. Mallampati classification is not a useful tool in classifying the difficult intubation in the ED that the "LEMON" acrostic can be modified to "LEON".
Definitions and goals of "self-directed learning" in contemporary medical education literature.

INTRODUCTION
Self-directed learning (SDL) has been an essential issue in medical education due to the expansion of knowledge, accessibility to information and greater emphasis on reflection. If SDL in educational research lacks a clear definition, terminological confusion may hinder the application of the results to practice. The aim of this study was to review and categorise the various forms of SDL described in the contemporary literature.


METHODS
A search of Medline was conducted using the key word "self-directed learning". Articles published between 2000 and 2004 were extracted. Review articles, letters and articles from health profession education other than medical education, were excluded. Sixty-three articles were analysed in 2 stages: first, whether the definition of SDL is explicitly described was investigated and next, contents in the articles on SDL were qualitatively analysed using a framework approach. The concept of a compassionate-empathic physician, as developed by Carmel and Glick (1996), was used as the framework.


RESULTS
Only 5 articles (8.0%) had an explicit and concrete definition of SDL. Content analysis showed that 26 (50.0%) of the 52 articles dealt with SDL only in the scientific-technical dimension, 3 (5.8%) dealt with that only in the socio-emotional dimension and 23 (44.2%) did so in both dimensions.


CONCLUSION
Although many researchers use the term "self-directed learning", only a few clearly defined it to avoid semantic confusion. Scientific-technical goals tended to be discussed more frequently in SDL. From a patient-centred viewpoint, socio-emotional goals should be stressed more.
Remote, wireless, ambulatory monitoring of implantable pacemakers, cardioverter defibrillators, and cardiac resynchronization therapy systems: analysis of a worldwide database.

STUDY OBJECTIVE
To describe the daily routine application of a new telemonitoring system in a large population of cardiac device recipients.


METHODS
Data transmitted daily and automatically by a remote, wireless Home Monitoring system (HM) were analyzed. The average time gained in the detection of events using HM versus standard practice and the impact of HM on physician workload were examined. The mean interval between device interrogations was used to compare the rates of follow-up visits versus that recommended in guidelines.


RESULTS
3,004,763 transmissions were made by 11,624 recipients of pacemakers (n = 4,631), defibrillators (ICD; n = 6,548), and combined ICD + cardiac resynchronization therapy (CRT-D) systems (n = 445) worldwide. The duration of monitoring/patient ranged from 1 to 49 months, representing 10,057 years. The vast majority (86%) of events were disease-related. The mean interval between last follow-up and occurrence of events notified by HM was 26 days, representing a putative temporal gain of 154 and 64 days in patients usually followed at 6- and 3-month intervals, respectively. The mean numbers of events per patient per month reported to the caregivers for the overall population was 0.6. On average, 47.6% of the patients were event-free. The mean interval between follow-up visits in patients with pacemakers, single-chamber ICDs, dual chamber ICDs, and CRT-D systems were 5.9 +/- 2.1, 3.6 +/- 3.3, 3.3 +/- 3.5, and 1.9 +/- 2.9 months, respectively.


CONCLUSIONS
This broad clinical application of a new monitoring system strongly supports its capability to improve the care of cardiac device recipients, enhance their safety, and optimize the allocation of health resources.