nils-herrmann/clean_scirepeval huggingface dataset:
Influences of Mothers' Stressors, Maternal Depression and Parenting on Conduct Problems among Thai Preschoolers

The purpose of this study was to examine the influence of mothers' stressors, maternal depression, and disrupted parenting on Thai preschoolers' conduct problems. One hundred ninety eight mother child dyads were recruited from 8 schools under the supervision of Bangkok Metropolitan Administration. Data were collected from October 2012 to May 2013. There were two main steps in the data collecting process: screening and collecting data. The participants were screened based on the children's conduct problems score. Data were collected via eight self administered questionnaires; 1) Demographic data form, 2) Strength and Difficulties Questionnaire, 3) Everyday Stressors Index, 4) Locke Wallace Marital Adjustment Test, 5) Difficult Child Questionnaire 6) Center for Epidemiologic Studies Depression Scale, 7) Parenting Scale, and 8) Eyberg Child Behavior Inventory and then analyzed using path analysis. There were significant indirect effects of the mothers' stressors (i.e. daily hassles, marital satisfaction, and child difficult temperament) on child conduct problems through maternal depression and disrupted parenting. In addition, maternal depression and disrupted parenting independently affected child conduct problems. Thus interventions to reduce maternal depression and to improve effective parenting are essential to reduce conduct problems in preschool aged children.
A Study on the Longitudinal Relations Between First time Mothers` Social Support and the Home Environment for Preschoolers: The Mediation of Depression

The current study examined the effects of early social support of first time mothers on the home environment for their preschool aged children via the mediation of mothers' depression. The study sample included 755 first time mothers participating in the Panel Study on Korean Children(PSKC) Using Structural Equation Modeling(SEM) the longitudinal structure from mothers' social support when the child is one year old to the quality of the home environment when the child is 4 years old was examined. The results revealed that mothers' social support at age 1 predicted social support at age 3, which in turn predicted higher quality of the home environment for their children at age 4. The mediation of depression was also significant. Mothers' social support predicted lower levels of depression at both phases and mothers' depression was significantly associated with the quality of the home environment.
Sex differences in emotional contexts modulation on response inhibition
Venue: Neuropsychologia

The aim of the present study was to explore sex differences in the effects that emotional contexts exert on the temporal course of response inhibition using event related potentials (ERP) Participants performed a Go NoGo response inhibition task under 3 context conditions: with 1) neutral background stimuli, and 2) pleasant, and 3) unpleasant emotional contexts. No sex differences were found in relation to accuracy. Women showed higher N2NoGo amplitudes than men in both emotional contexts; whereas during inhibition men tended to show higher P3NoGo amplitudes than women in the unpleasant context. Both groups experienced a relevant effect of the presence of the unpleasant context during inhibition processing, as shown by the enhancement of the N2NoGo amplitudes in frontal regions compared to results from the neutral and pleasant conditions. In addition, women showed differences between the pleasant and unpleasant contexts, with the latter inducing higher amplitude values. Only in men did inhibition accuracy correlate with higher N2NoGo and lower P3NoGo amplitudes in the emotional context conditions. These findings suggest that when an inhibition task is performed in an emotionally neutral background context no sex differences are observed in either accuracy or ERP components. However, when the emotional context was introduced especially the unpleasant one some gender differences did become evident. The higher N2NoGo amplitude at the presence of the unpleasant context may reflect an effect on attention and conflict monitoring. In addition, results suggest that during earlier processing stages, women invested more resources to process inhibition than men. Furthermore, men who invested more neural resources during earlier stages showed better response inhibition than those who did it during later processing stages, more closely related to cognitive and motor inhibition processes.
Genetic polymorphisms in the serotonergic system are associated with circadian manifestations of bruxism.
Venue: Journal of oral rehabilitation

Bruxism (BRX) is a condition of great interest for researchers and clinicians in dental and medical areas. BRX has two circadian manifestations; it can occur during sleep (sleep bruxism, SB) or during wakefulness (awake bruxism, WB) However, it can be suffered together. Recent investigations suggest that central nervous system neurotransmitters and their genes could be involved in the genesis of BRX. Serotonin is responsible for the circadian rhythm, maintaining arousal, regulating stress response, muscle tone and breathing. Thus, serotonin could be associated with BRX pathogenesis. The aim of this work was to evaluate the frequency of genetic polymorphisms in the genes HTR1A (rs6295) HTR2A (rs1923884, rs4941573, rs6313, rs2770304) HTR2C (rs17260565) and SLC6A4 (rs63749047) in subjects undergoing BRX treatment. Patients included were classified according to their diagnosis in awake bruxism (61 patients) sleep bruxism (26 patients) and both (43 patients) The control group included 59 healthy patients with no signs of BRX. Data showed significant differences in allelic frequencies for the HTR2A rs2770304 polymorphism, where the C allele was associated with increased risk of SB (odds ratio 2*13, 95% confidence interval: 1*08 4*21, P 0*03) Our results suggest that polymorphisms in serotonergic pathways are involved in sleep bruxism. Further research is needed to clarify and increase the current understanding of BRX physiopathology.
Readability and Content Assessment of Informed Consent Forms for Phase II IV Clinical Trials in China
Venue: PloS one

To explore the readability and content integrity of informed consent forms (ICFs) used in China and to compare the quality of Chinese local ICFs with that of international ICFs.  The length, readability and content of 155 consent documents from phase II IV drug clinical trials from the Third Xiangya Hospital Ethics Committee from November 2009 to January 2015 were evaluated. Reading difficulty was tested using a readability formula adapted for the Chinese language. An ICF checklist containing 27 required elements was successfully constructed to evaluate content integrity. The description of alternatives to participation was assessed. The quality of ICFs from different sponsorships were also compared.  Among the 155 evaluable trials, the ICFs had a median length of 5286 words, corresponding to 7 pages. The median readability score was 4.31 (4.02 4.41) with 63.9% at the 2nd level and 36.1% at the 3rd level. Five of the 27 elements were frequently neglected. The average score for the description of alternatives to participation was 1.06, and 27.7% of the ICFs did not mention any alternatives. Compared with Chinese local ICFs, international ICFs were longer, more readable and contained more of the required elements (P 0.05)  The ICFs used in China were difficult to read for most participants. These forms had poor description of alternatives to participation, and failed to provide a high degree of information disclosure, including an explanation of informed consent, follow up processing of the data/sample, inclusion/exclusion criteria, double blinding, and unpredictable risks. International ICFs had better readability and content integrity than Chinese local ICFs. More efforts should thus be made to improve the quality of consent documents in China.
Ji Yu Shen Ceng Lei Shen Jing Wang Lu Ji Biao Shi Xue Xi Ji Shu Zhi Wen Jian Ke Du Xing Fen Lei (Classification of Text Readability Based on Deep Neural Network and Representation Learning Techniques)[In Chinese]
Venue: ROCLING/IJCLCLP

The development of the internet has facilitated the flow of information. However, this explosive growth of information has led to fundamental importance being overlooked: Reading material can be understood. Research on readability formulas aims to predict, to a reasonable extent, the degree to which a text can be understood. It does so mainly by analyzing and translating the information within a text into readability features, which are used to train a readability model, in order to automatically predict the readability of a given text. In recent years, the development of deep neural networks, applied to speech recognition, image processing and natural language processing has improved significantly on the performance. Therefore, this paper proposes a readability model built with deep neural network and word vector representation, and which is capable of analyzing cross domain texts, in accordance with the diverse topics of text contents. The authors aim to make the readability model capable of analyzing text readability with more accurate, as well as possess domain generalization capacity. Guan Jian Ci :Ke Du Xing ,Ci Xiang Liang ,Fen Lei ,Shen Ceng Lei Shen Jing Wang Lu ,Zhi Xiang Liang Ji
Evaluation of 'non traditional' fingerprint sensor performance
Venue: 2016 IEEE Symposium on Technologies for Homeland Security (HST)

Non traditional (not optical) fingerprint sensors in use today incorporate technologies that have recently been developed and have not typically been suitable for the traditional Federal Bureau of Investigation (FBI) Appendix F fingerprint image quality evaluation and certification processes. There is a lack of independent quality, matching performance and interoperability assessment related to these sensors. This paper describes the results of human subject testing using a variety of non traditional fingerprint sensors, along with traditional optical fingerprint devices as a baseline. The test includes data collection, analysis and formal reporting. The range of fingerprint sensor technologies evaluated included: optical Frustrated Total Internal Reflection (FTIR) thin film transistor, single finger swipe and single finger multi spectral. With funding from the Department of Homeland Security (DHS) Science and Technology Directorate, the National Voluntary Laboratory Accreditation Program (NVLAP) accredited iBeta Quality Assurance Laboratory conducted the testing during the fall spring 2014 15. The performance evaluation is organized into three categories; Native Performance, Non traditional Probes Against FTIR References and Interoperability.
Detection of fungal infection and Ochratoxin A contamination in stored wheat using near infrared hyperspectral imaging

A study was done to detect Aspergillus glaucus, and Penicillium spp. infection and Ochratoxin A contamination in stored wheat using a Near Infrared (NIR) Hyperspectral Imaging system. Fungal infected samples were imaged every two weeks, and the three dimensional hypercubes obtained from image data were transformed into two dimensional data. Principal component analysis was applied to the two dimensional data and based on the highest factor loadings, 1280, 1300, and 1350 nm were identified as significant wavelengths. Six statistical features and ten histogram features corresponding to the significant wavelengths were extracted and subjected to linear, quadratic and Mahalanobis discriminant classifiers. All the three classifiers differentiated healthy kernels from fungal infected kernels with a classification accuracy of more than 90% The quadratic discriminant classifier provided classification accuracy higher than the linear and Mahalanobis classifiers for pair wise, two way and six way classification models. The Ochratoxin A contaminated samples had a unique significant wavelength at 1480 nm in addition to the two significant wavelengths corresponding to fungal infection. The peak at 1480 nm was identified only in the Ochratoxin A contaminated samples. The Ochratoxin A contaminated samples can be detected with 100% classification accuracy using NIR hyperspectral imaging system. The NIR hyperspectral system can differentiate between different fungal infection stages and different levels of Ochratoxin A contamination in stored wheat.
Non destructive characterisation and quantification of the effect of conventional oven and forced convection continuous tumble (FCCT) roasting on the three dimensional microstructure of whole wheat kernels using X ray micro computed tomography (mCT)

Food microstructure influences the characteristics of end products. X ray micro computed tomography (mCT) enables investigating internal structure of food products non destructively. High resolution X ray mCT, in combination with image analysis, was used to visualise and quantify the impact of conventional oven and forced convection continuous tumble (FCCT) roasting (180 degC for 140 s) on the microstructure of whole wheat kernels. After image acquisition, two dimensional (2D) cross sectional images were reconstructed into three dimensional (3D) volumes. Quantitative parameters, i.e. volume, porosity, expansion ratio (ER) and relative density, were calculated. Oven roasting was associated with a significantly P
Towards Constructing Sports News from Live Text Commentary
Venue: ACL

In this paper, we investigate the possibility to automatically generate sports news from live text commentary scripts. As a preliminary study, we treat this task as a special kind of document summarization based on sentence extraction. We formulate the task in a supervised learning to rank framework, utilizing both traditional sentence features for generic document summarization and novelly designed task specific features. To tackle the problem of local redundancy, we also propose a probabilistic sentence selection algorithm. Experiments on our collected data from football live commentary scripts and corresponding sports news demonstrate the feasibility of this task. Evaluation results show that our methods are indeed appropriate for this task, outperforming several baseline methods in different aspects.
Event Aware Framework for Dynamic Services Discovery and Selection in the Context of Ambient Intelligence and Internet of Things
Venue: IEEE Transactions on Automation Science and Engineering

The Internet of Things is the natural continuity of the Ambient Intelligence where smart and ambient environments are built mainly by integrating a large number of interconnected smart objects (sensors, actuators, Smartphone, appliances, etc. with heterogeneous capabilities abstracted as software services. These services can be composed on the fly and provided, all the time and everywhere, to assist users in their daily activities. A key issue in user centered services composition is to intelligently and effectively discover and select the most relevant services that best match the users' requirements and closely meet the specified quality of service level. Monitoring seamlessly the provided services and enhancing their quality, is still a challenging issue due mainly to the dynamicity and uncertainty characterizing ambient environments. In this paper, we propose a new service oriented, user centered and event aware Framework capable of performing services monitoring to handle automatically events that may occur in ambient environments. This monitoring is based on a dynamic services discovery and selection process to enhance self adaptation to unpredicted changes, and ensure services continuity with best quality. The overall proposed Framework has been implemented and validated through a scenario dedicated to daily activity recognition in an Ambient Assisted Living environment. In addition, the obtained performances from extensive tests show clearly the efficiency and feasibility of the proposed approach in the case of a large scale environment.
Meet the Scientist: The Value of Short Interactions Between Scientists and Students

Students have been reported to have stereotypical views of scientists as middle aged white men in lab coats. We argue that a way to provide students with a more realistic view of scientists and their work is to provide them with the opportunity to interact with scientists during short, discussion based sessions. For that reason, 20 scientists from 8 professional areas were asked to share their experiences of becoming and being a scientist, in short sessions with groups of 7 8 students. The student sample consisted of 223 students between 13 and 15 years. Student and scientist questionnaires were used before and after the sessions to assess students' views of scientists and their work, and scientists' experiences of interacting with students. The pre session questionnaires revealed that students considered scientists as 'boring' and 'nerdy' whereas after the sessions students focused extensively on how 'normal' the scientists appeared to be. The face to face interactions with scientists allowed students to view scientists as approachable and normal people, and to begin to understand the range of scientific areas and careers that exist. Scientists viewed the scientist student interactions as a vehicle for science communication. Implications discussed include the need for future training courses to focus on developing science communicators' questioning and interaction skills for effective interactions with students.
The Determinants of Non Residential Real Estate Values with Special Reference to Local Environmental Goods

This paper presents the results of an empirical study of the determinants of non residential real estate values in Los Angeles County. The data base consists of 13, 370 property transactions from 1996 to 2005. Separate spatial econometric models are developed for industrial, commercial, retail and office properties. The study focus on the impact on property values of local amenities. Our analytical results provide insights on how amenities may affect non residential properties values and how the impact may differ across property types. Our empirical results offer evidence that explicitly modeling spatial dependence is necessary for hedonic non residential property models where there is interest in local amenities. We also show that it is also important to account for the temporal dimension since ignoring it can lead to misinterpretation of the real measure of spatial dependence over time. Moreover, we find that in general amenities that are jointly valuable to firms and household, such as parks or air quality have either weak or non robust effects on nonresidential values. However, the fact that the joint amenities coastal access and crime appear to have stable correlations across specifications would be consistent with a higher firm than household valuation. In contrast, those amenities that are likely only valued by firms, such as transportation access and proximity to concentrations of skilled workers have robust and significant correlations with non residential values.
Type 3 Diabetes: Cross Talk between Differentially Regulated Proteins of Type 2 Diabetes Mellitus and Alzheimer's Disease
Venue: Scientific reports

Type 3 Diabetes (T3D) is a neuroendocrine disorder that represents the progression of Type 2 Diabetes Mellitus (T2DM) to Alzheimer's disease (AD) T3D contributes in the increase of the total load of Alzheimer's patients worldwide. The protein network based strategies were used for the analysis of protein interactions and hypothesis was derived describing the possible routes of communications among proteins. The hypothesis provides the insight on the probable mechanism of the disease progression for T3D. The current study also suggests that insulin degrading enzyme (IDE) could be the major player which holds the capacity to shift T2DM to T3D by altering metabolic pathways like regulation of beta cell development, negative regulation of PI3K/AKT pathways and amyloid beta degradation.
Diet and nutrition reverse Type 3 diabetes and accelerated aging linked to global chronic diseases

The acceleration in the rate of chronic diseases that involve insulin resistance has become of global concern. The rate of the most prevalent chronic disease such as cardiovascular disease is linked to the metabolic syndrome, non alcoholic fatty liver disease (NAFLD) and other chronic diseases that include obesity, diabetes and neurodegenerative diseases. The gene environment interaction in Western countries indicates that with urbanization access to food and its content may lead to induction of epigenetic alterations and identify the gene Sirtuin 1 (Sirt 1) to be responsible for the increased risk for insulin resistance and NAFLD relevant to Type 1, Type 2 and Type 3 diabetes in these countries. Nutrigenomics is linked to neuron and liver telomere maintenance, cell division and tissue growth and has become important with essential nutrients that regulate Sirt 1 function important to prevent NAFLD in individuals with diabetes. Nutrigenomic diets, exercise, drugs and lifestyle changes regulate Type 3 diabetes with neuron Sirt 1 transcriptional responses associated with DNA modifications that regulate brain insulin resistance relevant to NAFLD and diabetes.
[Clinical value of Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract combined with chemotherapy in the treatment of advanced non small cell lung cancer: a Meta analysis]
Venue: Journal of traditional Chinese medicine Chung i tsa chih ying wen pan

To investigate the clinical efficacy and safety of Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract combined with chemotherapy in the treatment of advanced non small cell lung cancer (NCSLC) compared with chemotherapy alone.  Databases including Chinese National Knowledge Infrastructure, China Biology Medicine Disc, Wanfang, and MEDLINE were searched until April 1, 2014. Two assessors independently reviewed each trial. The primary outcome was the effective rate (ER) of Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract combined with chemotherapy. The secondary outcomes included quality of life improvement rate (QOLIR) and adverse reactions. Statistical calculations were performed by using Cochrane Collaboration Review Manager 5.2.  A total of 888 patients from 15 studies, 13 randomized controlled trials (RCT) and two controlled clinical trials, were included. Compared with chemotherapy alone, Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract plus chemotherapy significantly improved ER [Risk ratio (RR) 1.32, 95% CI, (1.14, 1.54) (based on 15 studies) and QOLIR [RR 2.04, 95% CI, (1.69, 2.47) (based on 13 studies) Compared with chemotherapy alone, Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract plus chemotherapy significantly inhibited chemotherapy induced white blood cell decline [RR 0.79, 95% CI, (0.70, 0.90) (based on 10 studies) chemotherapy induced platelet decline [RR 0.77, 95% CI, (0.60, 0.98) (based on 8 studies) and significantly alleviated nausea and vomiting (NV) [RR 0.83, 95% CI, (0.71, 0.97) (based on 7 studies) There was no significant difference in hemoglobin decline between the two therapies [RR 0.88, 95% CI, (0.70, 1.09) (based on 6 studies) CONCLUSION This Meta analysis suggests that Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract combined with chemotherapy may be more efficacious in the treatment of advanced NSCLC than chemotherapy alone. This effect includes enhancing ER and QOLIR, and weakening chemotherapy toxicity. However, large scale RCTs are required to further investigate the short and long term effects of Tongguanteng (Radix seu Herba Marsdeniae Tenacissimae) extract.