LLukas22/scidocs huggingface dataset:
Calibrating predictive model estimates to support personalized medicine

OBJECTIVE
Predictive models that generate individualized estimates for medically relevant outcomes are playing increasing roles in clinical care and translational research. However, current methods for calibrating these estimates lose valuable information. Our goal is to develop a new calibration method to conserve as much information as possible, and would compare favorably to existing methods in terms of important performance measures: discrimination and calibration.


MATERIAL AND METHODS
We propose an adaptive technique that utilizes individualized confidence intervals (CIs) to calibrate predictions. We evaluate this new method, adaptive calibration of predictions (ACP), in artificial and real-world medical classification problems, in terms of areas under the ROC curves, the Hosmer-Lemeshow goodness-of-fit test, mean squared error, and computational complexity.


RESULTS
ACP compared favorably to other calibration methods such as binning, Platt scaling, and isotonic regression. In several experiments, binning, isotonic regression, and Platt scaling failed to improve the calibration of a logistic regression model, whereas ACP consistently improved the calibration while maintaining the same discrimination or even improving it in some experiments. In addition, the ACP algorithm is not computationally expensive.


LIMITATIONS
The calculation of CIs for individual predictions may be cumbersome for certain predictive models. ACP is not completely parameter-free: the length of the CI employed may affect its results.


CONCLUSIONS
ACP can generate estimates that may be more suitable for individualized predictions than estimates that are calibrated using existing methods. Further studies are necessary to explore the limitations of ACP.
Applications of wavelet transform in medical image processing

The wavelet transform and inverse transform algorithm are introduced. The medical image plays an important role in clinical diagnosis and therapy of doctor and teaching and researching. This paper gives reviews of some applications in medical image with wavelet, such as ECG signal processing, EEG signal processing, medical image compression, medical image reinforcing and edge detection, medical image register. With the further development of wavelet theory, wavelet transform be widely applied to the domain of medical image.
Development of the social brain during adolescence

This article describes recent research which informs our understanding of changes in social cognition during adolescence. The focus will be on mentalising, the ability to attribute and manipulate mental states in the self and others. Mentalising is supported by the medial prefrontal cortex (MPFC) and both anterior and posterior regions of the temporal lobes. In the past decade, studies have demonstrated development during adolescence of white and grey matter brain structure, with most protracted changes observed in frontal and temporal lobes, including those regions supporting mentalising. This article presents evidence that certain aspects of social cognition continue to change during adolescence, highlighting results from recent research investigating the use of theory of mind information in a communicative context. The findings highlight how adolescence, and not only childhood, is a time of continued maturation of brain and behaviour, when education and the environment can have an impact on cognitive development. © 2015 Colegio Oficial de Psicólogos de Madrid. Published by Elsevier España, S.L.U. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Desarrollo del cerebro social durante la adolescencia
Remote population-based intervention for disruptive behavior at age four: study protocol for a randomized trial of Internet-assisted parent training (Strongest Families Finland-Canada)

BACKGROUND
Oppositional Defiant Disorder (ODD) is characterized by angry and noncompliant behaviour. It is the most common disruptive behaviour disorder (DBD), with prevalence estimates of 6-9% for preschoolers and is closely linked to several long-term difficulties, including disorders of conduct, mood, anxiety, impulse-control, and substance abuse. ODD in children is related to parental depression, family dysfunction, and impairments in parental work performance. Children displaying early DBDs exhibit more symptoms of greater severity, more frequent offences, and commit more serious crimes later in life. The goal of the Strongest Families Finland Canada (SFFC) Smart Website intervention research program is to develop and evaluate an affordable, accessible, effective secondary prevention parent training program for disruptive behaviour in preschoolers to prevent the negative sequelae of ODD. Strongest Families is an 11-session program with two booster sessions that focuses on teaching skills to: strengthen parent-child relationships; reinforce positive behaviour; reduce conflict; manage daily transitions; plan for potentially problematic situations; promote emotional regulation and pro-social behaviour and decrease antisocial behaviour.


METHODS/DESIGN
This protocol paper describes an ongoing population-based randomized controlled trial (RCT) of high-risk 4 year-olds attending well-child clinics in Turku, Finland and environs to examine the effectiveness of the Strongest Families Smart Website intervention compared to an Education Control condition. Randomization consists of a 1:1 ratio for intervention versus the education group, stratified by the child's sex. The participants randomized to the intervention group receive access to the Strongest Families Smart Website and weekly telephone coaching sessions. The participants randomized to the Education Control condition receive access to a static website with parenting tips. Children are followed using parental and daycare teacher measures at 6 and 12 months after randomization.


DISCUSSION
The Strongest Families Smart Website intervention is hypothesized to improve parenting skills, reduce child disruptive behaviour, reduce parental distress and improve family functioning. These results will likely inform subsequent investigations, public policy, and early treatment of childhood disruptive behaviour problems.


TRIAL REGISTRATION
ClinicalTrials.gov # NCT01750996.
What is cartography

The functions carried out under what is recognised as the term ‘cartography’ are explained with the object of arriving at a better understanding of cartography and, more importantly, how it applies in today's society.
Evaluation of the medical care of patients with hypertension in an emergency department and in ambulatory hypertension unit.

OBJECTIVE
To evaluate the characteristics of the patients receiving medical care in the Ambulatory of Hypertension of the Emergency Department, Division of Cardiology, and in the Emergency Unit of the Clinical Hospital of the Ribeirão Preto Medical School.


METHODS
Using a protocol, we compared the care of the same hypertensive patients in on different occasions in the 2 different places. The characteristics of 62 patients, 29 men with a mean age of 57 years, were analyzed between January 1996 and December 1997.


RESULTS
The care of these patients resulted in different medical treatment regardless of their clinical features and blood pressure levels. Thus, in the Emergency Unit, 97% presented with symptoms, and 64.5% received medication to rapidly reduce blood pressure. In 50% of the cases, nifedipine SL was the elected medication. Patients who applied to the Ambulatory of Hypertension presenting with similar features, or, in some cases, presenting with similar clinically higher levels of blood pressure, were not prescribed medication for a rapid reduction of blood pressure at any of the appointments.


CONCLUSION
The therapeutic approach to patients with high blood pressure levels, symptomatic or asymptomatic, was dependent on the place of treatment. In the Emergency Unit, the conduct was, in the majority of cases, to decrease blood pressure immediately, whereas in the Ambulatory of Hypertension, the same levels of blood pressure, in the same individuals, resulted in therapeutic adjustment with nonpharmacological management. These results show the need to reconsider the concept of hypertensive crises and their therapeutical implications.
A Critique of Pure Economics

The title of this piece tells it all. It is not that our author does not believe in markets but that he thinks they have many natural limitations. He welcomes them when empirical evidence suggests that they work. But in this fine and necessary criticism of conventional "rational-person" economics, he finds fifteen curses—yes, he calls them curses—that markets must deal with to work as the textbooks say they do.
Overcoming obstacles to skin cancer examinations and prevention counseling for high-risk patients: results of a national survey of primary care physicians.

OBJECTIVE
Primary care physicians are in a unique position to perform skin cancer examinations and provide prevention counseling, given that approximately 40% of office visits to physicians in the United States are to a family practitioner or internist. Compared with family or self-detection, physician detection is associated with an increased probability of detecting thinner melanomas. However, little research has attempted to identify the major obstacles to performing a skin cancer examination and recommending prevention practices.


METHODS
In the spring of 2002, we surveyed primary care physicians from all 50 states, including family medicine physicians, internists, and general practitioners sampled from the American Medical Association's Medical Marketing Services' database. There were 4 primary outcome variables related to early detection and prevention practices for average-risk patients and patients with risk factors: performing a full-body skin examination; recommending regular skin self-examination; and recommending sun protection practices and avoidance of tanning booths for patients younger than age 35.


RESULTS
We received surveys from 380 (60%) of 632 eligible physicians. Nearly 60% of physicians routinely performed full-body examinations with their high-risk patients. In the regression analysis of factors influencing physician examination of high-risk patients, lack of time was the strongest barrier [odds ratio (OR) 0.3 (95% confidence interval (CI) 0.2 to 0.6)]. Physicians using the most information sources [OR 2.5 (95% CI 1.3 to 4.8)] were the most likely to examine their high-risk patients. Physicians whose patients requested a skin examination were more likely to examine their patients compared with physicians whose patients did not request such an examination (P < .01).


CONCLUSIONS
Concerted public and professional education efforts must be made to provide resources that help physicians efficiently weave skin cancer examinations and prevention counseling into routine practice while also motivating high-risk patients to request full-body examinations and counseling.
A Neural Local Coherence Model

Table: Coherence evaluation results on Discrimination and Insertion tasks. † indicates a neural model is significantly superior to its non-neural counterpart with p-value < 0.01. Discr. Ins. Acc F1 Random 50.00 50.00 12.60 Graph-based (G&S) 64.23 65.01 11.93 Dist. sentence (L&H) 77.54 77.54 19.32 Grid-all nouns (E&C) 81.58 81.60 22.13 Extended Grid (E&C) 84.95 84.95 23.28 Grid-CNN 85.57† 85.57† 23.12 Extended Grid-CNN 88.69† 88.69† 25.95†
On the EOQ model with inventory-level-dependent demand rate and random yield

This paper deals with an EOQ-type mventory problem where the demand rate is a function of the inventory level. It has been noted by marketing researchers and practitioners that an increase in a product's shelf space usually has a positive impact on the sales of that product. In such a case, the demand rate is no longer a constant, but it depends on the amount of on-hand inventory. Our objective is to develop a model that can accommodate the dependency of demand on the inventory level. We also assume that the yield is random, i.e., when Q units are ordered, the amount received is YQ where the yield rate Y is a non-negative random variable. With these assumptions of inventory-dependent demand rate and random yield, we develop an extension of the EOQ model. Expected long-run average cost function for the resulting continuous review stochastic inventory model is obtained using the renewal reward theorem. We choose order quantity as the decision variable of the model. Since the computation of the objective function requires the expected stationary inventory level, we develop the stationary distribution of this stochastic process by using level crossing theory. We discuss three special cases of the objective function which correspond to the following special models: The standard EOQ model; the EOQ model modified to consider random yield; and the EOQ model modified to consider inventory level dependent demand rate. We then discuss the general case where demand rate is a power function of the inventory level and yield rate Y is distributed as a beta random variable. Numerical examples for all four models are presented.
Community Space Reflected in Modern Novels of the 1930s in Seoul

The analysis of community spaces used by a wide range of people in Seoul, in which modern culture was introduced, helps our understanding of the changed lifestyles and lives of people. The emergence of new types of community space with Western and Japanese influences could also be found. These spaces served as the background to a variety of changes, such as changes in roles and hierarchical conflicts associated with economic characteristics at that time.
Topic-based sentiment analysis for the social web: The role of mood and issue-related words

Mike Thelwall, Kevan Buckley Statistical Cybermetrics Research Group, School of Technology, University of Wolverhampton, Wulfruna Street, Wolverhampton WV1 1SB, UK. E-mail: m.thelwall@wlv.ac.uk, K.A.Buckley@wlv.ac.uk Tel: +44 1902 321470 Fax: +44 1902 321478 General sentiment analysis for the social web has become increasingly useful to shed light on the role of emotion in online communication and offline events in both academic research and data journalism. Nevertheless, existing general purpose social web sentiment analysis algorithms may not be optimal for texts focussed around specific topics. This article introduces two new methods, mood setting and lexicon extension, to improve the accuracy of topic-specific lexical sentiment strength detection for the social web. Mood setting allows the topic mood to determine the default polarity for ostensibly neutral expressive text. Topic-specific lexicon extension involves adding topic-specific words to the default general sentiment lexicon. Experiments with eight data sets show that both methods can improve sentiment analysis performance in corpora and are recommended when the topic focus is tightest.
Smoking cessation normalizes coronary endothelial vasomotor response assessed with 15O-water and PET in healthy young smokers.

UNLABELLED
Cigarette smoking is one of the risk factors of cardiovascular diseases and is related to abnormal peripheral and coronary vascular vasomotion. Coronary vascular endothelial dysfunction is caused by chronic smoking in smokers without epicardial coronary artery stenosis. The coronary endothelial vasomotion abnormality is restored by interventions such as l-arginine or vitamin C infusion. However, to our knowledge, the effect of smoking cessation on coronary vasomotor response has not been elucidated. Therefore, the aim of this study was to assess the effect of smoking cessation on coronary vasomotor response by quantitative myocardial blood flow (MBF) measurement using (15)O-water and PET.


METHODS
Fifteen young smokers (Brinkman index > 100; mean age +/- SD, 26 +/- 4 y) with no evidence of heart disease or cardiovascular risk factors, except for smoking, and age-matched nonsmokers (n = 12) were enrolled in this study. MBF was measured at rest, during the cold pressor test (CPT), before and at 1 and 6 mo after smoking cessation. In addition, MBF measurement during adenosine triphosphate (ATP) infusion was performed before and at 6 mo after smoking cessation. In nonsmokers, MBF was measured at rest, during ATP infusion, and during the CPT.


RESULTS
MBF at rest and during ATP infusion did not differ between smokers and nonsmokers (0.73 +/- 0.12 vs. 0.80 +/- 0.15 mL/g/min and 3.15 +/- 1.43 vs. 3.69 +/- 0.76 mL/g/min, respectively; P = not significant). In contrast, MBF during the CPT in smokers was lower than that in nonsmokers (0.90 +/- 0.19 vs. 1.12 +/- 0.28 mL/g/min; P < 0.05). There was no significant difference in MBF either at rest or during ATP infusion between before and after smoking cessation, but MBF during the CPT increased at 1 mo in comparison with before cessation of smoking (0.90 +/- 0.19 vs. 1.02 +/- 0.22 mL/g/min; P < 0.01). An improvement of MBF response to the CPT was preserved at 6 mo after smoking cessation.


CONCLUSION
Coronary vasomotor abnormality assessed by MBF response to the CPT was improved at 1 mo after smoking cessation. These findings indicate that coronary endothelial dysfunction may be reversible within 1 mo after smoking cessation in healthy young smokers.
An automated accounting system

This paper deals with an automated accounting system built around an IBM 1232 optical scanner and a tape oriented IBM 7040-1401 data processing system. The paper traces a transaction from a farm reporting to final farm summary and income tax filing.
A design model for building occupancy detection using sensor fusion

Building occupancy sensing is useful for control of building services such as lighting and ventilation, enabling energy savings, whilst maintaining a comfortable environment. However, a precise and reliable measurement of occupancy still remains difficult. Existing technologies are plagued with a number of issues ranging from unreliable data, maintaining privacy, sensor drift, change of use, and short-term financial pressures, including low quality parts and insufficient commissioning. A major performance barrier is currently the fitness to purpose, or otherwise of sensing technologies used. Sensor fusion techniques offer a way to make up for this, aiming to more reliably determine occupancy using a range of different indoor climatic variables. Over the last decade, artificial intelligence (AI) techniques have found some application for building controls, and can also be applied to occupancy estimation. We describe a novel methodology for building occupancy detection using a sensor fusion model based on the Adaptive Neuro-Fuzzy Inference System (ANFIS) algorithm. The system monitors indoor climatic variables, indoor events and energy data obtained from a non-domestic building to infer occupancy patterns.
Preparation of Fast Dissolving Films for Oral Dosage from Natural Polysaccharides

Fast-dissolving films (FDFs) were prepared from natural polysaccharides, such as pullulan, without heating, controlling the pH, or adding other materials. The release profiles of model drugs from the films were investigated. In the absence of a drug, the casting method and subsequent evaporation of the solvent resulted in the polysaccharide forming a circular film. The presence of drugs (both their type and concentration) affected film formation. The thickness of the film was controllable by adjusting the concentration of the polysaccharide, and regular unevenness was observed on the surface of 2% pullulan film. All films prepared with polysaccharides readily swelled in dissolution medium, released the incorporated compound, and subsequently disintegrated. The release of dexamethasone from the films was complete after 15 min, although this release rate was slightly slower than that of pilocarpine or lidocaine. Therefore, FDFs prepared from polysaccharides could be promising candidates as oral dosage forms containing drugs, and would be expected to show drug dissolution in the oral cavity.
Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings

0167-4730/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.strusafe.2008.06.002 * Corresponding author. E-mail address: abliel@stanford.edu (A.B. Liel). The primary goal of seismic provisions in building codes is to protect life safety through the prevention of structural collapse. To evaluate the extent to which current and past building code provisions meet this objective, the authors have conducted detailed assessments of collapse risk of reinforced-concrete moment frame buildings, including both ‘ductile’ frames that conform to current building code requirements, and ‘non-ductile’ frames that are designed according to out-dated (pre-1975) building codes. Many aspects of the assessment process can have a significant impact on the evaluated collapse performance; this study focuses on methods of representing modeling parameter uncertainties in the collapse assessment process. Uncertainties in structural component strength, stiffness, deformation capacity, and cyclic deterioration are considered for non-ductile and ductile frame structures of varying heights. To practically incorporate these uncertainties in the face of the computationally intensive nonlinear response analyses needed to simulate collapse, the modeling uncertainties are assessed through a response surface, which describes the median collapse capacity as a function of the model random variables. The response surface is then used in conjunction with Monte Carlo methods to quantify the effect of these modeling uncertainties on the calculated collapse fragilities. Comparisons of the response surface based approach and a simpler approach, namely the first-order second-moment (FOSM) method, indicate that FOSM can lead to inaccurate results in some cases, particularly when the modeling uncertainties cause a shift in the prediction of the median collapse point. An alternate simplified procedure is proposed that combines aspects of the response surface and FOSM methods, providing an efficient yet accurate technique to characterize model uncertainties, accounting for the shift in median response. The methodology for incorporating uncertainties is presented here with emphasis on the collapse limit state, but is also appropriate for examining the effects of modeling uncertainties on other structural limit states. 2008 Elsevier Ltd. All rights reserved.
Deviant Constructions: How Governments Preserve Colonial Narratives of Addictions and Poor Mental Health to Intervene into the Lives of Indigenous Children and Families in Canada

Colonial projects in Canada have a long history of violently intervening into the personal lives and social structures of Indigenous peoples. These interventions are associated with elevated rates of addictions and mental health issues among Indigenous peoples. In this paper we employ an indigenized social determinants approach to mental health and addictions that accounts for the multiple, intersecting effects of colonial discourse upon the health of Indigenous peoples, and particularly the health effects of colonial interventions into the lives of First Nations Indigenous children in Canada. We focus on both historic and contemporary discourses about Indigenous peoples as deviant, discourses that include particular ideas and assumptions held by government officials about Indigenous peoples, the series of policies, practices, and institutional structures developed to ‘address’ Indigenous deviance over time (including contemporary child protections systems), and their direct impact upon healthy child development and overall Indigenous health. From a discursive perspective, addictions and mental health issues among Indigenous peoples can be accounted for in relation to the ideas, policies, and practices that identify and aim to address these issues, something that the social determinants literature has yet to incorporate into its model.