LLukas22/scidocs huggingface dataset:
A Cognitive Hierarchy Model Applied to the Lemonade Game

One of the challenges of multiagent decision making is that the behavior needed to maximize utility can depend on what other agents choose to do: sometimes there is no “right” answer in the absence of knowledge of how opponents will act. The Nash equilibrium is a sensible choice of behavior because it represents a mutual best response. But, even when there is a unique equilibrium, other players are under no obligation to take part in it. This observation has been forcefully illustrated in the behavioral economics community where repeated experiments have shown individuals playing Nash equilibria and performing badly as a result. In this paper, we show how to apply a tool from behavioral economics called the Cognitive Hierarchy (CH) to the design of agents in general sum games. We attack the recently introduced “Lemonade Game” and show how the results of an open competition are well explained by CH. We believe this game, and perhaps many other similar games, boils down to predicting how deeply other agents in the game will be reasoning. An agent that does not reason enough risks being exploited by its opponents, while an agent that reasons too much may not be able to interact productively with its opponents. We demonstrate these ideas by presenting empirical results using agents from the competition and idealizations arising from a CH analysis.
Comparison of intraoperative fluorescence and MRI image guided neuronavigation in malignant brain tumours, a prospective controlled study.

INTRODUCTION
MBT carry poor prognosis and more than 80% of MBT recur locally within 2 cm of the resection margin because of inadequate surgical removal. A number of techniques have been implemented in recent years to improve surgical removal of MBT with variable success. We examined two methods commonly used to resect MBT to establish which one offered the best chances of gross total removal; MRI guided technology and ALA-induced fluorescence.


PATIENTS AND METHODS
Twenty consecutive patients diagnosed with MBT were included in this study. They were given 20mg ALA per kg body weight 3h before anaesthesia orally mixed in water. Surgery was planned using preoperative enhanced MPR age images. Surgery was executed using the Stealth Station image guidance system and ALA-induced fluorescence microsurgical techniques. During surgery the intensity of fluorescence was graded into red, pink or blue. The intensity of fluorescence was also measured using pulsed 405 nm laser and a compact spectrometer using a touch probe directly placed on the tissue. The extent of tumour invasion was assessed intraoperatively using standard white light, blue light and spectroscopic measurements. Postoperative enhanced MRI was used to assess the extent of resection and the volume of residual tumour was measured.


RESULTS
There were six newly diagnosed GBM, eight recurrent GBM, one oligodendroglioma (ODG) and five metastases (MET). On enhanced MRI, the mean diameter of new GBM, recurrent GBM, ODG and MET was 2.3 cm, 2.3 cm, 1.5 cm, and 2.3 cm respectively. Under the blue light, the mean diameter of new GBM, recurrent GBM, ODG and MET was 2.9 cm, 3 cm, 1.5 cm and 2.3 cm respectively. The results of quantitative measurements of fluorescence ratios revealed that red fluorescence corresponded to 5.9-11.6 (solid tumour on histology), and pink fluorescence measured 0.8-1.9 (infiltrating edge of tumour on histology). When we compared the maximum tumour diameter of GBM we found on average it was 10mm wider on spectroscopy compared to standard white light microscopy and 6mm wider than what the enhanced MRI demonstrated.


CONCLUSIONS
Fluorescence technology revealed that GBMs are wider than the enhanced MRI had demonstrated, while MET enhanced MRI was similar in size to fluorescence. Furthermore, solid tumour can be identified intraoperatively and can be measured using fluorescence and spectroscopy techniques and it can be removed safely. Infiltrating tumour can also be identified intraoperatively using this technology and can be removed in non-eloquent areas to maximise surgical resection.
Effect of resistance training on women's strength/power and occupational performances.

PURPOSE
The effects of resistance training programs on strength, power, and military occupational task performances in women were examined.


METHODS
Untrained women aged (mean +/- SD) 23 +/- 4 yr were matched and randomly placed in total- (TP, N = 17 and TH, N = 18) or upper-body resistance training (UP, N = 18 and UH, N = 15), field (FLD, N = 14), or aerobic training groups (AER, N = 11). Two periodized resistance training programs (with supplemental aerobic training) emphasized explosive exercise movements using 3- to 8-RM training loads (TP, UP), whereas the other two emphasized slower exercise movements using 8- to 12-RM loads (TH, UH). The FLD group performed plyometric and partner exercises. Subjects were tested for body composition, strength, power, endurance, maximal and repetitive box lift, 2-mile loaded run, and U.S. Army Physical Fitness Tests before (T0) and after 3 (T3) and 6 months of training (T6). For comparison, untrained men (N = 100) (MEN) were tested once.


RESULTS
Specific training programs resulted in significant increases in body mass (TP), 1-RM squat (TP, TH, FLD), bench press (all except AER), high pull (TP), squat jump (TP, TH, FLD), bench throw (all except AER), squat endurance (all except AER), 1-RM box lift (all except aerobic), repetitive box lift (all), push-ups (all except AER), sit-ups (all except AER), and 2-mile run (all).


CONCLUSIONS
Strength training improved physical performances of women over 6 months and adaptations in strength, power, and endurance were specific to the subtle differences (e.g., exercise choice and speeds of exercise movement) in the resistance training programs (strength/power vs strength/hypertrophy). Upper- and total-body resistance training resulted in similar improvements in occupational task performances, especially in tasks that involved upper-body musculature. Finally, gender differences in physical performance measures were reduced after resistance training in women, which underscores the importance of such training for physically demanding occupations.
Loop Block Profiling with Performance Prediction

With increase in the complexity of High Performance Computing systems, the complexity of applications has increased as well. To achieve better performance by effectively exploiting parallelism from High Performance Computing architectures, we need to analyze/identify various parameters such as, the code hotspot (kernel), execution time, etc of the program. Statistics say that a program usually spends 90% of the time in executing less than 10% of the code. If we could optimize even some small portion of the 10% of the code that takes 90% of the execution time we have a high probability of getting better performance. So we must find the bottleneck, that is the part of the code which takes a long time to run which is usually called the hotspot. Profiling provides a solution to the question: which portions of the code should be optimized/parallelized, for achieving better performance. In this research work we develop a light-weight profiler that gives information about which portions of the code is the hotspot and estimates the maximum speedup that could be achieved, if the hotspot is parallelized. Keywords—Profiling, Loop Block Profile, Code Analysis, Performance Prediction, Speedup Estimation
An essay on measurement and factorial invariance.

BACKGROUND
Analysis of subgroups such as different ethnic, language, or education groups selected from among a parent population is common in health disparities research. One goal of such analyses is to examine measurement equivalence, which includes both qualitative review of the meaning of items as well as quantitative examination of different levels of factorial invariance and differential item functioning.


OBJECTIVES
The purpose of this essay is to review the definitions and assumptions associated with factorial invariance, placing this formulation in the context of bias, fairness, and equity. The connection between the concepts of factorial invariance and item bias (differential item functioning) using a variant of item response theory is discussed. The situations under which different forms of invariance (weak, strong, and strict) are required are discussed.


METHODS
Establishing factorial invariance involves a hierarchy of levels that include tests of weak, strong, and strict invariance. Pattern (metric or weak) factorial invariance implies that the regression slopes are invariant across groups. Pattern invariance requires only invariant factor loadings. Strong factorial invariance implies that the conditional expectation of the response, given the common and specific factors, is invariant across groups. Strong factorial invariance requires that specific factor means (represented as invariant intercepts) also be identical across groups. Strict factorial invariance implies that, in addition, the conditional variance of the response, given the common and specific factors, is invariant across groups. Strict factorial invariance requires that, in addition to equal factor loadings and intercepts, the residual (specific factor plus error variable) variances are equivalent across groups. The concept of measurement invariance that is most closely aligned to that of item response theory considers the latent variable as a common factor measured by manifest variables; the specific factors can be characterized as nuisance variables.


CONCLUSIONS
Invariance of factor loadings across studied groups is required for valid comparisons of scale score or latent variable means. Strong and strict invariance may be less important in the context of basic research in which group differences in specific factors are indicative of individual differences that are important for scientific exploration. However, for most applications in which the aim is to ensure fairness and equity, strict factorial invariance is required. Health disparities research often focuses on self-reported clinical outcomes such as quality of life that are not observed directly. Latent variable models such as factor analyses are central to establishing valid assessment of such outcomes.
Evolution of Noninvasive Mechanical Ventilation Use: A Cohort Study Among Italian PICUs.

OBJECTIVE
To assess how clinical practice of noninvasive ventilation has evolved in the Italian PICUs.


DESIGN
National, multicentre, retrospective, observational cohort.


SETTING
Thirteen Italian medical/surgical PICUs that participated in the Italian PICU Network.


PATIENTS
Seven thousand one-hundred eleven admissions of children with 0-16 years old admitted from January 1, 2011, to December 31, 2012.


INTERVENTIONS
None.


MEASUREMENTS AND MAIN RESULTS
Cause of respiratory failure, length and mode of noninvasive ventilation, type of interfaces, incidence of treatment failure, and outcome were recorded. Data were compared with an historical cohort of children enrolled along 6 months from November 1, 2006, to April 30, 2007, over the viral respiratory season. Seven thousand one-hundred eleven PICU admissions were analyzed, and an overall noninvasive ventilation use of 8.8% (n = 630) was observed. Among children who were admitted in the PICU without mechanical ventilation (n = 3,819), noninvasive ventilation was used in 585 patients (15.3%) with a significant increment among the three study years (from 11.6% in 2006 to 18.2% in 2012). In the endotracheally intubated group, 17.2% children received noninvasive ventilation at the end of the weaning process to avoid reintubation: 11.9% in 2006, 15.3% in 2011, and 21.6% in 2012. Noninvasive ventilation failure rate raised from 10% in 2006 to 16.1% in 2012.


CONCLUSIONS
Noninvasive ventilation is increasingly and successfully used as first respiratory approach in several, but not all, Italian PICUs. The current study shows that noninvasive ventilation represents a feasible and safe technique of ventilatory assistance for the treatment of mild acute respiratory failure. Noninvasive ventilation was used as primary mode of ventilation in children with low respiratory tract infection (mainly in bronchiolitis and pneumonia), in acute on chronic respiratory failure or to prevent reintubation.
The dual burden household and the nutrition transition paradox

OBJECTIVE:The purpose of this study is to document the prevalence of households with underweight and overweight persons (henceforth referred to as dual burden households) and their association with income and urban residence. The explorations by urban residence and income will test whether dual burden households differ from ‘underweight only’ and ‘overweight only’ households, respectively. These comparisons are relevant to differentiating or adapting nutrition-related interventions wherever obesity and undernutrition cluster at the household level.POPULATION:Data analysis is based on national surveys conducted in Brazil, China, Indonesia, the Kyrgyz Republic, Russia, Vietnam and the United States.METHODS:All persons were first classified into categories for underweight and overweight, using body mass index (BMI) cutoffs, and then all households were categorized into four types: dual burden, overweight, underweight and normal. Income and urban residence were explored as key risk factors for being a dual burden household, with the effects modeled separately for each country. Multiple logistic regression was used to explore income and urban risk factors, controlling for household size, region of residence and either urban residence or income, as appropriate.RESULTS:In six of the countries studied, 22–66% of households with an underweight person also had an overweight person. Countries with the highest prevalence of dual burden households were those in the middle range of gross national product (GNP). The dual burden household is easily distinguished from the ‘underweight only’ households in Brazil, China, Indonesia, the United States and Vietnam. In these five countries dual burden households were more likely to be urban and more likely to be among the highest income tertile. There were no significant differences between dual burden and ‘underweight only’ households in Russia and the Kyrgyz Republic. In contrast, dual burden households were not easily distinguished from the ‘overweight only’ households in China, Indonesia, the Kyrgyz Republic, the United States and Vietnam. In Brazil and Russia dual burden households were more likely to be lower income and urban than ‘overweight only’ households.CONCLUSION:The prevalence of dual burden households presents a significant public health concern, particularly for those countries in the middle range of GNP. In some countries (China, Indonesia, the Kyrgyz Republic, the United States and Vietnam), dual burden households share sociodemographic profiles with overweight households, raising concerns for underweight individuals who may inadvertently become the focus of obesity prevention initiatives. For this reason, obesity prevention efforts should focus on messages that are beneficial to the good health of all, such as increasing fruit and vegetable intake, improving overall diet quality and increasing physical activity.
Classification of noun-noun compound semantics in Dutch and Afrikaans

This article presents initial results on a supervised machine learning approach to determine the semantics of noun compounds in Dutch and Afrikaans. After a discussion of previous research on the topic, we present our annotation methods used to provide a training set of compounds with the appropriate semantic class. The support vector machine method used for this classification experiment utilizes a distributional lexical semantics representation of the compound’s constituents to make its classification decision. The collection of words that occur in the near context of the constituent are considered an implicit representation of the semantics of this constituent. Fscores were reached of 47.8% for Dutch and 51.1% for Afrikaans. Keywords—compound semantics; Afrikaans; Dutch; machine learning; distributional methods
Blockchain: the Emperors New PKI?

I would like to jump on the blockchain bandwagon. I would like to be able to say that blockchain is the solution to the longstanding problem of secure identity on the Internet. I would like to say that everyone in the world will soon have a digital identity. Put yourself on the blockchain and never again ask yourself, Who am I? - you are your blockchain address.
The elements of statistical learning: data mining, inference, and prediction, 2nd Edition

by E.T. Jaynes CAMBRIDGE, CAMBRIDGE UNIVERSITY PRESS, 2003 727pp. $65.00 HARDBACK ISBN 0-521-59271-2 The Fundamentals of Risk Measurement by Chris Marrison BOSTON, McGRAW-HILL, 2002 415pp. $44.95 HARDBACK ISBN 0-07-138627-0 The Elements of Statistical Learning: Data Mining, Inference and Prediction by Trevor Hastie, Robert Tibshirani and Jerome Friedman NEW YORK, SPRINGER, 2001 533pp. $82.95 HARDBACK ISBN 0-387-95284-5
Making Learning and Web 2.0 Technologies Work for Higher Learning Institutions in Africa

Purpose – This paper seeks to assess the extent to which the learning and web 2.0 technologies are utilized to support learning and teaching in Africa’s higher learning institutions, with a specific focus on Tanzania's public universities. Design/methodology/approach – A combination of "content analysis" and "semistructured interviews" was used to collect data. The study conducted semi-structured interviews with ICT personnel from six out of the eight public universities in Tanzania in 2011. Findings – The study found that the adoption of e-learning and web 2.0 technologies is still in its infancy stages in the Tanzania public universities. However, there was much enthusiasm amongst respondents for developing the potential of e-learning and web 2.0 tools in
Stable isotope (δ13C and δ15N) values of sediment organic matter in subtropical lakes of different trophic status

Lake sediments contain archives of past environmental conditions in and around water bodies and stable isotope analyses (dC and dN) of sediment cores have been used to infer past environmental changes in aquatic ecosystems. In this study, we analyzed organic matter (OM), carbon (C), nitrogen (N), phosphorus (P), and dC and dN values in sediment cores from three subtropical lakes that span a broad range of trophic state. Our principal objectives were to: (1) evaluate whether nutrient concentrations and stable isotope values in surface deposits reflect modern trophic state conditions in the lakes, and (2) assess whether stratigraphic changes in the measured variables yield information about shifts in trophic status through time, or alternatively, diagenetic changes in sediment OM. Three Florida (USA) lakes of very different trophic status were selected for this study. Results showed that both dC and dN values in surface sediments of the oligo-mesotrophic lake were relatively low compared to values in surface sediments of the other lakes, and were progressively lower with depth in the sediment core. Sediments of the eutrophic lake had dC values that declined upcore, whereas dN values increased toward the sediment surface. The eutrophic lake displayed dC values intermediate between those in the oligo-mesotrophic and hypereutrophic lakes. Sediments of the hypereutrophic lake had relatively higher dC and dN values. In general, we found greater dC and dN values with increasing lake trophic state.
Continuous glucose monitoring with Humalog Mix 25 versus Humalog Mix 50, twice daily: A comparative pilot study -Results from the Jikei-EValuation of insulin Lispro mixture on pharmacodynamics and glycemic VariancE (J-EVOLVE) study

OBJECTIVE
To evaluate glycemic variability associated with two different premixed insulin analogue formulations when used in a twice-daily regimen.


PATIENTS AND METHODS
Subjects comprised type 2 diabetic patients aged 20-79 years, treated with twice daily premixed insulin or insulin analogue formulations. All subjects were hospitalized for 6 days and randomized to receive either Humalog Mix 25 (Mix 25) or Humalog Mix 50 (Mix 50). They were then crossed over to the other arm between day 3 and day 4 of the study. Continuous glucose monitoring (CGM) was performed on all subjects to examine the differences in glycemic variability.


RESULTS
Eleven type 2 diabetic patients were enrolled. No significant difference was found in 24-hour mean glucose values and their SDs, pre-meal glucose values, increases from pre-meal to peak glucose values, or time to peak glucose levels between either group. However, the mean glucose values observed during 0-8 hrs were significantly lower with Mix 25 compared to Mix 50 (128 vs. 147 mg/dL; p = 0.024).


CONCLUSIONS
The twice-daily Mix 25 regimen provided superior overnight glycemic control compared to the Mix 50 regimen in Japanese patients with type 2 diabetes. However, both twice-daily regimens with either Mix 25 or Mix 50 provided inadequate post-lunch glycemic control.


TRIAL REGISTRATION
Current Controlled Trials UMIN000001327.
A note on quantum aspects of multiple membranes

In this Letter we investigate quantum aspects of the newly proposed theory of multiple membranes put forward by Bagger and Lambert. In particular we analyse the possibility of a finite renormalisation of the coupling at one loop.
[The validity and sensitivity to change of the Spanish self-administered version of the chronic respiratory questionnaire (CRQ-SAS)].

INTRODUCTION
The interviewer-administered chronic respiratory questionnaire (CRQ-IA) is widely used and has demonstrated excellent properties for measuring health-related quality of life (HRQL) in patients with chronic obstructive pulmonary disease (COPD). However, the self-administered version (CRQ-SAS) in Spanish has not been validated. The aim of this trial was to evaluate the validity and the sensitivity of the Spanish version of the CRQ-SAS in patients with COPD.


MATERIAL AND METHODS
We randomized 40 patients with COPD (33 treated with pulmonary rehabilitation and 7 with liquid oxygen therapy) to one of the two methods of administration of CRQ (SAS vs. IA) both before and 8 weeks after the treatment. In addition, patients completed the SF-36 questionnaire, pulmonary function tests, and six-minute walk test.


RESULTS
The CRQ-SAS demonstrated good longitudinal construct validity on all domains with a range of correlations, for the change scores, between 0.46 (P=.05) and 0.71 (P=.01). Regarding sensitivity to change, we observed a minimal clinically significant change in most domains (fatigue 0.71 [P=.02], emotional factor 0.62 [P=.04], control of the disease 0.83 [P=.06]).


CONCLUSIONS
The Spanish version of CRQ-SAS is valid for evaluating HRQL in COPD patients. The correlations of the CRQ-SAS with other tools provide construct validity and show good sensitivity to change.
Celebrity's self-disclosure on Twitter and parasocial relationships: A mediating role of social presence

This study investigated how celebrities' self-disclosure on personal social media accounts, particularly Twitter, affects fans' perceptions. An online survey was utilized among a sample of 429 celebrity followers on Twitter. Results demonstrated that celebrities' professional self-disclosure (e.g., sharing their work-related life), personal self-disclosure (e.g., sharing their personal life such as friends and family), and fans' retweeting behavior, enhanced fans’ feeling of social presence, thereby positively affecting parasocial interaction with celebrities. Further, the study found that the effects of self-disclosure and retweeting on parasocial interaction were mediated by social presence. Implications and future research directions are provided. © 2016 Elsevier Ltd. All rights reserved.