LLukas22/scidocs huggingface dataset:
Multiple classifier application to credit risk assessment

Credit risk prediction models seek to predict quality factors such as whether an individual will default (bad applicant) on a loan or not (good applicant). This can be treated as a kind of machine learning (ML) problem. Recently, the use of ML algorithms has proven to be of great practical value in solving a variety of risk problems including credit risk prediction. One of the most active areas of recent research in ML has been the use of ensemble (combining) classifiers. Research indicates that ensemble individual classifiers lead to a significant improvement in classification performance by having them vote for the most popular class. This paper explores the predicted behaviour of five classifiers for different types of noise in terms of credit risk prediction accuracy, and how such accuracy could be improved by using classifier ensembles. Benchmarking results on four credit datasets and comparison with the performance of each individual classifier on predictive accuracy at various attribute noise levels are presented. The experimental evaluation shows that the ensemble of classifiers technique has the potential to improve prediction accuracy. 2009 Elsevier Ltd. All rights reserved.
Anatomical factors involved in difficult cardiac resynchronization therapy procedure: a non-invasive study using dual-source 64-multi-slice computed tomography.

AIMS
In cardiac resynchronization therapy (CRT) procedure, left ventricular (LV) lead implantation is time consuming. In this clinical setting, no study has investigated the impact of right atrium anatomical parameters on both CRT implantation procedure duration and X-ray exposure. Additionally, only few studies have examined the coronary sinus (CS) using dual-source 64-multi-slice computed tomography (DS 64-MSCT), and its impact on CRT procedure parameters has not yet been investigated. The aim of this prospective study was to identify local anatomical predictive factors of difficult CRT implantation procedure using DS 64-MSCT.


METHODS AND RESULTS
Between January and July 2010, 50 consecutive patients underwent primo CRT implantation. The patient population had a mean age of 70 ± 10 years, and was 34% female, with New York Heart Association Class 3.2 ± 0.3 heart failure, left ventricle ejection fraction 30 ± 4%, and QRS width 157 ± 30 ms. Cardiac resynchronization therapy implantation was attempted in 50 patients, and first LV lead implantation was obtained in 49 of 50 patients (98% primary success). One implantation failed (2%) due to unsuccessful LV lead implant. Procedure parameters were as follows: LV threshold, 1.4 ± 0.8 V; LV wave amplitude, 17 ± 8 mV; LV impedance, 830 ± 240 Ω; median procedure time (skin to skin), 51 min (38 min); median fluoroscopy procedure time, 11.9 min (22 min); and median LV fluoroscopic time, 10.3 min (22 min). In 10 patients (20%), procedures were difficult requiring an implantation lasting ≥ 85 min. The only predictive factor for difficult CRT implantation was the insertion level of the CS ostium (CSO), evaluated by the distance between the CSO and the bottom floor of the right atrium (14.8 ± 4 vs. 9.5 ± 4; P= 0.01). Neither the right atrium dilation nor right ventricular dysfunction was associated with difficult CRT implantation procedures.


CONCLUSIONS
Today, despite improvements in the materials used, problems still remain in the CRT procedure. In this clinical setting, the only predictive factor for very long CRT procedures is the CSO-level insertion (located high). This anatomical anomaly identified by DS 64-MSCT prior to surgery is responsible for 20% of difficult CRT device implantation procedures.
Mental Accounting Matters

Mental accounting is the set of cognitive operations used by individuals and households to organize, evaluate, and keep track of financial activities. Making use of research on this topic over the past decade, this paper summarizes the current state of our knowledge about how people engage in mental accounting activities. Three components of mental accounting receive the most attention. This first captures how outcomes are perceived and experienced, and how decisions are made and subsequently evaluated. The accounting system provides the inputs to be both ex ante and ex po.st cost-benefit analyses. A second component of mental accounting involves the assignment of activities to specific accounts. Both the sources and uses of funds are labeled in real as well as in mental accounting systems. Expenditures are grouped into categories (housing, food, etc.) and spending is sometimes constrained by implicit or explicit budgets. The third component of mental accounting concerns the frequency with which accounts are evaluated and 'choice bracketing'. Accounts can be balanced daily, weekly, yearly, and so on, and can be defined narrowly or broadly. Each of the components of mental accounting violates the economic principle of fungibility. As a result, mental accounting influences choice, that is, it matters. Copyright © 1999 John Wiley & Sons, Ltd.
The value of reflective journaling in undergraduate nursing education: a literature review.

OBJECTIVES
The purpose of this literature review was to ascertain the evidence for the use of reflective journaling as a tool to promote the pedagogical strategy of reflection for the purpose of learning from practice for practice in undergraduate nursing education.


DESIGN
Concept-centric.


DATA SOURCES
The literature review involved structured searches of all OVID gateway databases, EBSCO host databases, and Blackwell Synergy. Qualitative and Quantitative Studies from 1992 to 2006 were included if they focused on reflective journaling in undergraduate clinical education.


REVIEW METHODS
Due to the vast plethora of literature on reflection, keywords were utilized to focus the search. Approximately 150 abstracts were reviewed for primary sources of research. A total of nine studies met the inclusion criteria. The review subsequently divided the literature into four content themes allowing for appraisal and analysis of the findings, followed by summary and key recommendations for nursing education and research.


RESULTS
There was evidence that educators struggle to incorporate reflective processes into education; however, the research provided rationale and support for engaging undergraduate students in the reflective process. Researchers found reasonable levels of reflection in undergraduate students' journaling and educators reported students' learning as a result of reflective journaling. Further to this, there was evidence that writing reflectively improved over time; a learned skill also dependent on a good facilitator and trust. Unfortunately, there was a paucity of research that explored the undergraduate nurses' experiences with the process of having to create written communication, with a critical reflective focus on practice.


CONCLUSION
Nursing educators are correct in pursuing the teaching and learning of the reflective process in undergraduate nursing education. Nurse educators need to utilize various tools and strategies for facilitating the growth of undergraduate students into reflective practitioners. Indeed there was only limited evidence to support reflective journaling as an appropriate tool to promote reflection for the purpose of learning from practice for practice in undergraduate nursing education. Research that provides insight into the undergraduate student experience and perceptions of reflective journaling is needed to facilitate the structuring and use of reflective journaling as a tool in undergraduate nursing education.
The MVGC multivariate Granger causality toolbox: A new approach to Granger-causal inference

BACKGROUND
Wiener-Granger causality ("G-causality") is a statistical notion of causality applicable to time series data, whereby cause precedes, and helps predict, effect. It is defined in both time and frequency domains, and allows for the conditioning out of common causal influences. Originally developed in the context of econometric theory, it has since achieved broad application in the neurosciences and beyond. Prediction in the G-causality formalism is based on VAR (vector autoregressive) modelling.


NEW METHOD
The MVGC Matlab© Toolbox approach to G-causal inference is based on multiple equivalent representations of a VAR model by (i) regression parameters, (ii) the autocovariance sequence and (iii) the cross-power spectral density of the underlying process. It features a variety of algorithms for moving between these representations, enabling selection of the most suitable algorithms with regard to computational efficiency and numerical accuracy.


RESULTS
In this paper we explain the theoretical basis, computational strategy and application to empirical G-causal inference of the MVGC Toolbox. We also show via numerical simulations the advantages of our Toolbox over previous methods in terms of computational accuracy and statistical inference.


COMPARISON WITH EXISTING METHOD(S)
The standard method of computing G-causality involves estimation of parameters for both a full and a nested (reduced) VAR model. The MVGC approach, by contrast, avoids explicit estimation of the reduced model, thus eliminating a source of estimation error and improving statistical power, and in addition facilitates fast and accurate estimation of the computationally awkward case of conditional G-causality in the frequency domain.


CONCLUSIONS
The MVGC Toolbox implements a flexible, powerful and efficient approach to G-causal inference.
An efficient data collection and dissemination for IOT based WSN

Data collection issues play a significant role in the area of Wireless Sensor Networks (WSNs) and Internet of Things (IOT). Energy efficiency is affected by the number of data transmissions from the node to the Sink / base station (BS). Control of the update data is one of the feasible ways to reduce the messages sent by the nodes. In transmitting data strategies most of the WSN real-time data applications update the data directly, and some current study made a logical or absolute check to measure the change between the current and last sensor measuring value before updating the data. In this paper, we proposed a method to reduce the number of data transmissions as well as decrease the amount of data that will result in prolonging the lifetime of the network. The proposed method aims to reduce the number of transmitted messages via a node supporting single and multiple sensors based on the relative change or relative differences between the current and last sensor measured values transmitted. The results show the proposed method appears to deliver the best performance in terms of reducing the number of messages transitions and packets size, in this study the mean percentage of reducing the number of messages transmissions is 74%, and 80% is the mean percentage reduce of node packet size. From the results, it's clear that reduce the number of packet's transitions and reduce the node packet size, will result in a decrease the energy consumption as well as prolonging the lifetime of the system.
Effects of hydroxyurea on extrachromosomal DNA in patients with advanced ovarian carcinomas.

PURPOSE
In vitro low concentrations of hydroxyurea eliminate double-minute chromosomes (dmins) containing amplified drug-resistance genes and oncogenes from cancer cells. This clinical trial investigated whether a noncytotoxic dose of oral hydroxyurea could reduce the number of dmins in cancer cells in patients with advanced ovarian carcinomas.


EXPERIMENTAL DESIGN
The high frequency of ascites associated with ovarian cancer facilitated the monitoring of cytogenetic variations with minimal discomfort in patients who required frequent abdominal paracentesis. Sixteen patients with advanced ovarian carcinomas resistant to conventional cisplatin-based and/or paclitaxel chemotherapy and with ascites requiring frequent abdominal paracentesis were entered in this study. A course of treatment consisted of a single oral dose of 80 mg/kg hydroxyurea every 3 days for 6 weeks. Blood and i.p. levels of hydroxyurea were determined. We monitored the variations of dmins in tumor cells taken from serial abdominal paracenteses.


RESULTS
The median number of courses administered to the patients was 1 (range, 1--9). In ascites, hydroxyurea concentrations were 610.3 +/- 76.3, 219.8 +/- 85.6, and 86.1 micromol/liter at 4, 24, and 30 h after oral administration, respectively. Eleven (78.6%) of 14 patient specimens contained dmins before therapy. The number of spreads with tumor cells containing dmins were reduced by more than 50% in 5 (45%) of 11 and 3 (60%) of 5 patients at the completion of the first and second course of chemotherapy, respectively. Using tumor cells taken directly from the patients and grown in soft agar, we documented that concentrations of hydroxyurea in ascites were too low to have any cytotoxic effects. No grade 3--4 hydroxyurea-related toxicities nor any objective responses were observed. However, despite the utilization of a low noncytotoxic dose of hydroxyurea, two patients had prolonged stabilization of their disease for 6 and 10 months, respectively, with concomitant decreases in the number of dmins that remained until progression.


CONCLUSIONS
This study showed that, in some circumstances, a noncytotoxic dose of hydroxyurea given to patients with ovarian cancer can decrease the number of metaphase spreads containing dmins in cancer cells.
Flow-injection amperometric determination of glucose using a biosensor based on immobilization of glucose oxidase onto Au seeds decorated on core Fe₃O₄ nanoparticles.

An amperometric biosensor based on chemisorption of glucose oxidase (GOx) on Au seeds decorated on magnetic core Fe3O4 nanoparticles (Fe3O4@Au) and their immobilization on screen-printed carbon electrode bulk-modified with manganese oxide (SPCE{MnO2}) was designed for the determination of glucose. The Fe3O4@Au/GOx modified SPCE{MnO2} was used in a flow-injection analysis (FIA) arrangement. The experimental conditions were investigated in amperometric mode with the following optimized parameters: flow rate 1.7 mL min(-1), applied potential +0.38 V, phosphate buffer solution (PBS; 0.1 mol L(-1), pH 7.0) as carrier and 3.89 unit mm(-2) enzyme glucose oxidase loading on the active surface of the SPCE. The designed biosensor in FIA arrangement yielded a linear dynamic range for glucose from 0.2 to 9.0 mmol L(-1) with a sensitivity of 2.52 µA mM(-1) cm(-2), a detection limit of 0.1 mmol L(-1) and a quantification limit of 0.3 mmol L(-1). Moreover, a good repeatability of 2.8% (number of measurements n=10) and a sufficient reproducibility of 4.0% (number of sensors n=3) were achieved. It was found that the studied system Fe3O4@Au facilitated not only a simpler enzyme immobilization but also provided wider linear range. The practical application of the proposed biosensor for FIA quantification of glucose was tested in glucose sirup samples, honeys and energy drinks with the results in good accordance with those obtained by an optical glucose meter and with the contents declared by the producers.
Mexiletine for symptoms and signs of myotonia in nondystrophic myotonia: a randomized controlled trial.

CONTEXT
Nondystrophic myotonias (NDMs) are rare diseases caused by mutations in skeletal muscle ion channels. Patients experience delayed muscle relaxation causing functionally limiting stiffness and pain. Mexiletine-induced sodium channel blockade reduced myotonia in small studies; however, as is common in rare diseases, larger studies of safety and efficacy have not previously been considered feasible.


OBJECTIVE
To determine the effects of mexiletine for symptoms and signs of myotonia in patients with NDMs.


DESIGN, SETTING, AND PARTICIPANTS
A randomized, double-blind, placebo-controlled 2-period crossover study at 7 neuromuscular referral centers in 4 countries of 59 patients with NDMs conducted between December 23, 2008, and March 30, 2011, as part of the National Institutes of Health-funded Rare Disease Clinical Research Network.


INTERVENTION
Oral 200-mg mexiletine or placebo capsules 3 times daily for 4 weeks, followed by the opposite intervention for 4 weeks, with 1-week washout in between.


MAIN OUTCOME MEASURES
Patient-reported severity score of stiffness recorded on an interactive voice response (IVR) diary (scale of 1 = minimal to 9 = worst ever experienced). Secondary end points included IVR-reported changes in pain, weakness, and tiredness; clinical myotonia assessment; quantitative measure of handgrip myotonia; and Individualized Neuromuscular Quality of Life summary quality of life score (INQOL-QOL, percentage of maximal detrimental impact).


RESULTS
Mexiletine significantly improved patient-reported severity score stiffness on the IVR diary. Because of a statistically significant interaction between treatment and period for this outcome, primary end point is presented by period (period 1 means were 2.53 for mexiletine and 4.21 for placebo; difference, -1.68; 95% CI, -2.66 to -0.706; P < .001; period 2 means were 1.60 for mexiletine and 5.27 for placebo; difference, -3.68; 95% CI, -3.85 to -0.139; P = .04). Mexiletine improved the INQOL-QOL score (mexiletine, 14.0 vs placebo, 16.7; difference, -2.69; 95% CI, -4.07 to -1.30; P < .001) and decreased handgrip myotonia on clinical examination (mexiletine, 0.164 seconds vs placebo, 0.494 seconds; difference, -0.330; 95% CI, -0.633 to -0.142; P < .001). The most common adverse effect was gastrointestinal (9 mexiletine and 1 placebo). Two participants experienced transient cardiac effects that did not require stopping the study (1 in each group). One serious adverse event was determined to be not study related.


CONCLUSION
In this preliminary study of patients with NDMs, the use of mexiletine compared with placebo resulted in improved patient-reported stiffness over 4 weeks of treatment, despite some concern about the maintenance of blinding.


TRIAL REGISTRATION
clinicaltrials.gov Identifier: NCT00832000.
Is intake of breakfast cereals related to total and cause-specific mortality in men?

BACKGROUND
Prospective studies suggested that substituting whole-grain products for refined-grain products lowers the risks of type 2 diabetes and cardiovascular disease (CVD) in women. Although breakfast cereals are a major source of whole and refined grains, little is known about their direct association with the risk of premature mortality.


OBJECTIVE
We prospectively evaluated the association between whole- and refined-grain breakfast cereal intakes and total and CVD-specific mortality in a cohort of US men.


DESIGN
We examined 86,190 US male physicians aged 40-84 y in 1982 who were free of known CVD and cancer at baseline.


RESULTS
During 5.5 y, we documented 3114 deaths from all causes, including 1381 due to CVD (488 myocardial infarctions and 146 strokes). Whole-grain breakfast cereal intake was inversely associated with total and CVD-specific mortality, independent of age; body mass index; smoking; alcohol intake; physical activity; history of diabetes, hypertension, or high cholesterol; and use of multivitamins. Compared with men who rarely or never consumed whole-grain cereal, men in the highest category of whole-grain cereal intake (> or = 1 serving/d) had multivariate-estimated relative risks of total and CVD-specific mortality of 0.83 (95% CI: 0.73, 0.94; P for trend < 0.001) and 0.80 (0.66, 0.97; P for trend < 0.001), respectively. In contrast, total and refined-grain breakfast cereal intakes were not significantly associated with total and CVD-specific mortality. These findings persisted in analyses stratified by history of type 2 diabetes, hypertension, and high cholesterol.


CONCLUSIONS
Both total mortality and CVD-specific mortality were inversely associated with whole-grain but not refined-grain breakfast cereal intake. These prospective data highlight the importance of distinguishing whole-grain from refined-grain cereals in the prevention of chronic diseases.
Anatomical insights into the interaction of emotion and cognition in the prefrontal cortex

Psychological research increasingly indicates that emotional processes interact with other aspects of cognition. Studies have demonstrated both the ability of emotional stimuli to influence a broad range of cognitive operations, and the ability of humans to use top-down cognitive control mechanisms to regulate emotional responses. Portions of the prefrontal cortex appear to play a significant role in these interactions. However, the manner in which these interactions are implemented remains only partially elucidated. In the present review we describe the anatomical connections between ventral and dorsal prefrontal areas as well as their connections with limbic regions. Only a subset of prefrontal areas are likely to directly influence amygdalar processing, and as such models of prefrontal control of emotions and models of emotional regulation should be constrained to plausible pathways of influence. We also focus on how the specific pattern of feedforward and feedback connections between these regions may dictate the nature of information flow between ventral and dorsal prefrontal areas and the amygdala. These patterns of connections are inconsistent with several commonly expressed assumptions about the nature of communications between emotion and cognition.
Improvement of wheat seed vitality by dielectric barrier discharge plasma treatment.

Influences of discharge voltage on wheat seed vitality were investigated in a dielectric barrier discharge (DBD) plasma system at atmospheric pressure and temperature. Six different treatments were designed, and their discharge voltages were 0.0, 9.0, 11.0, 13.0, 15.0, and 17.0 kV, respectively. Fifty seeds were exposed to the DBD plasma atmosphere with an air flow rate of 1.5 L min-1 for 4 min in each treatment, and then the DBD plasma-treated seeds were prepared for germination in several Petri dishes. Each treatment was repeated three times. Germination indexes, growth indexes, surface topography, water uptake, permeability, and α-amylase activity were measured. DBD plasma treatment at appropriate energy levels had positive effects on wheat seed germination and seedling growth. The germination potential, germination index, and vigor index significantly increased by 31.4%, 13.9%, and 54.6% after DBD treatment at 11.0 kV, respectively, in comparison to the control. Shoot length, root length, dry weight, and fresh weight also significantly increased after the DBD plasma treatment. The seed coat was softened and cracks were observed, systematization of the protein was strengthened, and amount of free starch grain increased after the DBD plasma treatment. Water uptake, relative electroconductivity, soluble protein, and α-amylase activity of the wheat seed were also significantly improved after the DBD plasma treatment. Roles of active species and ultraviolet radiation generated in the DBD plasma process in wheat seed germination and seedling growth are proposed. Bioelectromagnetics. 39:120-131, 2018. © 2017 Wiley Periodicals, Inc.