Miracle-dz/UniFAR-FTUs huggingface dataset:
The Association Between Quality of Life and Clinical Characteristics Youth with Headaches

ABSTRACT Headaches are common among youth, and frequently comorbid with psychological symptoms (e.g., anxiety/depressive symptoms), sleep problems, social and school interference, and decreased quality of life (QoL). In this study, 92 youth ages 7–17 years and their caregivers completed questionnaires examining ;headache severity, physical and emotional functioning, clinical characteristics, and QoL of the youth. Child reported QoL was negatively correlated with child reported anger, anxiety and depressive symptoms, catastrophizing, sleep disturbance, and directly correlated with social role. However, child and caregiver reported QoL was not significantly associated with headache severity. Missed school days were negatively correlated with social roles and directly correlated with fatigue and sleep disturbance. Anger, anxiety and depressive symptoms, age, and gender did not moderate the relationship between headache severity and functional disability. Among youth with headaches, QoL is directly associated with worse psychosocial functioning, suggesting that pediatric headaches can have pervasive and debilitating effects on life.
Iteratively solving sparse linear system based on PaRSEC task scheduling

With the new architecture and new programming paradigms such as task-based scheduling emerging in the parallel high performance computing area, it is of great importance to utilize these features to tune the monolithic computing codes. In this article, the classical conjugate gradient algorithms targeting at sparse linear system Ax = b in Krylov subspace are pipelining to execute interdependent tasks on Parallel Runtime Scheduling and Execution Controller (PaRSEC) runtime. Firstly, the sparse matrix A is split in rows to unfold more coarse-grained parallelism. Secondly, the partitioned sub-vectors are not assembled into one full vector in RAM to run sparse matrix–vector product (SpMV) operations for eliminating the communication overhead. Moreover, in the SpMV computation, if all elements of one column in the split sub-matrix are zeros, the corresponding product operations of these elements may be removed by reorganizing sub-vectors. Finally, the latency of migrating sub-vector is partially overlapped by the duration of performing SpMV operations through the further splitting in columns of sparse matrix on GPUs. In experiments, a series of tests demonstrate that optimal speedup and higher pipelining efficiency has been achieved for the pipelined task scheduling on PaRSEC runtime. Fusing SpMV concurrency and dot product pipelining can achieve higher speedup and efficiency.
Literature Review on Spiritual Care in Nursing

This article is to review literature from 2011 to 2015 on spiritual care in nursing using CINAHL. In this article, the keywords “systematic review,” “spiritual care,” and “nursing” were used to search the CINAHL database. Initially a total of 19 articles were identified; however, 11 papers were reviewed after excluding the inappropriate articles following six categories as the definition of spirituality, concept analysis of spiritual care, spiritual assessment, spiritual care on the clinical settings, ethical issues, and nursing education. In conclusion and suggestions, spiritual care should assess from generic to specific aspects, and develop the comprehensive assessment steps for spiritual care in nursing. Additionally, the mixed method is suggested to study spiritual care in nursing for obtaining consistent findings and exploring the patients’ unique spiritual experiences. Nursing researchers should apply the manual therapeutic life review interventions for existential and religious domains as the evidence-based interventions for spiritual care in the different care units to generalize the validity of these spiritual interventions.
NIR reflectance spectroscopy and SIMCA for classification of crops flour

The potential of SIMCA technique for crops flour classification was studied based on FT-NIR spectroscopy in this research. A total of 72 spectra of flour samples taken from 6 types of crops, i.e. of banana, breadfruit, taro, arrowroot, purple sweet potato, and modified cassava (mocaf). The reflectance data were measured using the NIRFlex N500 Fiber Optic Solids Cell at 4000 – 10, 000 cm−1. The spectral obtained were pre-processed and analyzed using The Unscrambler X version 10.5. 1. A 2nd derivative Savitzky-Golay (polynomial order 2, 25 smoothing points) followed by a Standard Normal Variate (SNV) were used for pre-treatment data. Characterization of the flours was done using chemometric models based on principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA) explained for each group of flour samples of banana, breadfruit, taro, arrowroot, purple sweet potato, and modified cassava (mocaf). SIMCA calibration models were constructed using 6 spectral measurements for each type of flours; classification set were constructed using 6 spectral measurements. The SIMCA accuracy classification were 100% for mocaf, banana, arrowroot, bread fruit, and taro, and 67% for purple sweet potato.
No evidence for Retrocausation in Two Classic Cuing Paradigms

Retrocausation describes how an event that happens in the future may affect the present. For example, determining the state of an entangled particle in the future can determine the state of an entangled particle in the present. Recently, this phenomenon has been reported in the psychological literature, with several studies reporting that events which have yet to happen affect performance in various tasks. In this article, two classical manipulations of expectation from the psychological literature, endogenous and exogenous cueing, have been used to explore retrocausal effects on reaction speeds. The findings demonstrate no effect of retrocausation, supported by both frequentist and Bayesian statistical analysis. This is an important finding from two perspectives. First, it may indicate a limiting condition of retrocausal effects. Alternatively, it may contribute to research demonstrating a lack of retrocausation.
The Core of a Transferable Utility Game as the Solution to a Public Good Market Demand Problem

The core of a monotonic transferable utility (TU) game is shown to be the set of prices that incentivize each individual to demand the grand coalition in a market demand problem in which the goods being demanded are coalitions viewed as public goods. It is also shown that the core is the intersection of superdifferentials evaluated at the grand coalition of the covers of person-specific TU games derived from the original game. These characterizations of the core demonstrate how a market demand approach to the core in the spirit of Baldwin and Klemperer is related to the approach to the core using the cover of a TU game and it superdifferential at the grand coalition developed by Shapley and Shubik, Aubin, and Danilov and Koshevoy.
Nouns and verbs in the linguistic environment of Argentinian toddlers: Socioeconomic and context-related differences

This article examines the input to Argentinian Spanish-learning children from low and middle socioeconomic status (SES). It aims to determine whether the vocabulary composition (nouns and verbs) of their input varies as a function of SES, the addressee and other contextual variables such as the type of activity and the pragmatic orientation of the utterances. Thirty children (mean: 14.3 months) and their families were audio-recorded for four hours and the middle two hours were analyzed using Computerized Language Analysis (CLAN). The nouns and verbs in child-directed speech (CDS) and overheard speech (OHS) were identified using the CLAN’s part of speech tagger MOR Morphosyntactic Analysis. Regression analyses showed effects of: (a) SES and addressee on the proportion of noun types and tokens; (b) the type of activity and the pragmatic orientation of the utterances on the proportion of nouns in CDS; (c) SES and type of activity on the proportion of entity and action-oriented utterances. These findings reveal that given the complexity of children’s home environments it is crucial to consider these social and contextual dimensions to account for the distribution of different lexical categories. How they are distributed in the input likely influences the developmental course of vocabulary acquisition.
Impaired Cardiorespiratory Fitness Following Thoracic Radiotherapy

IMPAIRED CARDIORESPIRATORY FITNESS FOLLOWING THORACIC RADIOTHERAPY Justin McNair Canada, PhD, RCEP A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University. Virginia Commonwealth University, 2018. Dissertation Adviser: Antonio Abbate, MD, PhD Department of Internal Medicine, Division of Cardiology Cancer (CA) is the second leading cause of death in the United States preceded only by cardiovascular disease (CVD). Over the past 30 years, the 5-year survival rate for all cancers combined has increased by more than 20%. This improved survival rate is due to early diagnosis and advances in treatment involving a multimodality treatment approach that includes radiotherapy [RT] with about half of all CA patients receiving some type of RT sometime during the course of their treatment. Cardiotoxicity is one of the most important adverse reactions of RT and leads to a meaningful risk of CVDrelated morbidity and mortality. Radiotherapy-related cardiotoxicity is a heterogeneous clinical syndrome characterized by symptoms related to impaired cardiac function due to radiation-injury to one or more cardiac structures. Furthermore, the relative risk of CVD increases with increasing incidental radiation dose to the heart. There is not a unified consensus on the definition of CA-related cardiotoxicity although most trials have focused on changes in resting systolic function, and/or development of cardiac symptoms. Commonly used tools to assess cardiac function are insensitive to minor injury hence subtle changes may go unnoticed for many years. Cardiotoxicity definitions should include a dynamic functional assessment of the CV system. This may allow detection of latent CV abnormalities before the precipitous decline of resting myocardial function or the development of CV symptomology that may impact quality of life. Cardiopulmonary exercise testing (CPET) including measurement of peak oxygen consumption (VO2) is the gold standard for the assessment of cardiorespiratory fitness (CRF). Cardiorespiratory fitness is a strong, independent predictor of mortality, CVD-related mortality, HF-related morbidity and mortality, CA-related mortality and may be involved in the pathophysiologic link between anti-CA related treatments and the increased risk of late CVD events. Emerging evidence indicates CRF may be reduced in CA survivors and have utility to detect subclinical cardiotoxicity, but this has not been evaluated in CA survivors treated with RT with significant heart involvement. This dissertation consists of one literature review and one comprehensive paper that will examine the ability of CPET to detect subclinical cardiotoxicity.
Networking in the digital age: Identifying factors that influence adolescents’ online communication and relationship building

Abstract This study utilized social network analysis to examine the communication strategies of 54 high school students (2, 916 relationships) within a private online group. Communication strategies were identified through interviews with adolescent Facebook users (N = 12), and coding Facebook data (N = 271 comments/posts). Three themes emerged from the data regarding tactics adolescents applied concerning effective online communication strategies: 1) level of relevancy (the extent to which the post related to their personal lives), 2) use of dialogical questions (the extent to which participants utilized engaging questions to solicit a response), and 3) social media savviness (the extent to which participants utilized images to convey information). Random permutation regression analysis indicated that those who demonstrated high performance levels in social media savviness were more central within the online community. Additionally, participants who applied dialogic questions held significantly higher scores in network betweenness. Implications for programing will be discussed.
Logic-Based Switching Control for Stabilization of Stochastic Feedforward Nonlinear Systems

This article addresses the stabilization problem for a class of stochastic feedforward systems with unknown nonlinearities. Due to the unknown nonlinearities, a nested saturation control law is designed with a priori unknown saturation bounds. Then, a group of logic-based switching conditions are provided for tuning the saturation bounds adaptively. Global asymptotical stability in the probability of the system states is proven. The key features of the control approach lie in that both explicit bounds and specific forms of the nonlinearities could be unknown for designing and deploying the controller.
Sequence Comparison without Alignment: The SpaM approaches

Sequence alignment is at the heart of DNA and protein sequence analysis. For the data volumes that are nowadays produced by massively parallel sequencing technologies, however, pairwise and multiple alignment methods have become too slow for many data-analysis tasks. Therefore, fast alignment-free approaches to sequence comparison have become popular in recent years. Most of these approaches are based on word frequencies, for words of a fixed length, or on word-matching statistics. Other approaches are based on the length of maximal word matches. While these methods are very fast, most of them are based on ad-hoc measures of sequences similarity or dissimilarity that are often hard to interpret. In this review article, I describe a number of alignment-free methods that we developed in recent years. Our approaches are based on spaced word matches (‘SpaM’), i.e. on inexact word matches, that are allowed to contain mismatches at certain pre-defined positions. Unlike most previous alignment-free approaches, our approaches are able to accurately estimate phylogenetic distances between DNA or protein sequences based on stochastic models of molecular evolution.
Data-Driven Passive Localization With Non-Cooperative Radiation Sources via Mutually Inverse Networks

This letter proposes a passive localization method with non-cooperative radiation sources and distributed receivers. In this letter, a pair of mutually inverse networks is put forward. The inverse network aims to generate more labeled data, and the original network is trained with the generated data to learn the mapping from the observed data to the target location. Experimentally, the results show the proposed method can achieve better performance with one-sixteenth the amount of training data than the network in same structure. The proposed method has the potential in outdoor passive localization with communication base stations.
Understanding the thermomechanical behavior of a TATB-based explosive via microstructure-level simulations. Part I: Microcracking and viscoelasticity

In view of a better understanding of the thermomechanical behavior of pressed explosives, a Fourier-based computational tool is used to perform numerical homogenization and compare predictions to experimental macroscopic properties. This is first done in a purely thermoelastic context on simplified polycrystalline virtual microstructures, then extended to cracked polycrystalline ones. A further extension is proposed, aiming at predicting the nucleation and propagation of (micro)-cracks. Besides, a mean-field (self-consistent) approach is also followed, providing accurate thermoelastic predictions. It is currently being extended to account for linear (non-ageing) viscoelasticity of the binder. The study of irreversible deformation mechanisms of the TATB crystal, in view of their incorporation in the full-field tool, is the subject of the companion paper.
Factors influencing addiction in female population of an urban slum area

Background: The use of certain licit substances like alcohol, tobacco and illicit substances like cocaine, amphetamine, cannabis, etc is termed as substance abuse. Globally, the most prevalent form of tobacco use in women is cigarette smoking. But, in lowand middle-income countries use of smokeless forms is quite common. Aim of the study was to study the factors influencing drug and tobacco addiction in the female population of an urban slum area. Methods: Community-based cross-sectional study conducted on 577 female participants in urban slums of a metropolitan city. A pre-validated semi-structured questionnaire was used. Data analysis was done in SPSS version 22.0 (IBM). Descriptive statistics and chi-square tests for associations were used. Results: The mean age of participants was 44.84±14.99 years and the mean age of onset of addiction was 21.51±6.47 years. Around 70.7% of women were tobacco chewers, 9.4% were smoking bidis and 15.8%were addicted to alcohol. Addiction is the subject of conflict in families of 70(12.1%) women. A most common source of information about the harmful effects of addiction was television and tobacco packets. Almost all women i.e. 555(96.2%) knew that oral cancer was a harmful effect of addiction. Willingness to quit an addiction was seen in 45.8%of women. Conclusions: Addiction in females is a major public health problem which is compounded by their lack of knowledge.
Exploring multisensory experiences in infants’ learning and development in the child care classrooms

ABSTRACT Infants come to know about the world and develop an understanding about themselves through multisenses. This qualitative case study aimed to explore how three infant head teachers engaged in and facilitated various multisensory play activities in their classrooms. Natural, in-class, non-participatory observations were conducted at a child care centre in the U.S. The findings of this study illustrated how the infant teachers in this study provided, promoted, and scaffolded multisensory experiences in their daily practices. The findings also highlighted that the infant teachers adapted sensory experiences to meet individual preferences, needs, interests, and changing developmental status of their infants.
Institutions, contexts, and ethnic violence in comparative perspective

Which combinations of government structures and electoral systems create better frameworks for addressing ethnic violence? Is there any one-size-fits-all institutional solution to violent ethnic conflict? Why or why not? These questions are of substantial importance to scholars and policymakers alike, but the extant literature does not provide a systematic and thorough exploration. In this article, we argue that the effects of political institutions on ethnic violence are moderated by parameters of ethnic configurations. Through a large comparative study, we find that institutions are relevant when ethnic groups are not geographically dispersed, and whether ethnic minorities face a majority group also matters. For concentrated minorities facing a majority, semi-presidential-proportional and presidential-proportional systems are more effective in reducing violence. In cases involving concentrated minorities facing no majority, parliamentary-non-proportional systems are associated with the most intense violence. We conclude that states seeking to alleviate ethnic violence by institutional engineering must take contexts seriously.
Intimate partner violence and women’s health: the private and social burden

ABSTRACT We assess the impact of intimate partner violence (IPV) against women on their health and healthcare use, finding that IPV substantially worsens health, and increases the hazards of hospitalization, emergency care, and sedative consumption. We exploit two compatible samples from the 2011 Spanish Violence Against Women and National Health surveys. We estimate the effect of IPV on health using a bivariate model that exploits woman’s awareness of IPV among female acquaintances to account for IPV endogeneity, and the effect of IPV on healthcare through a two-stage procedure. Hence, IPV originates high private cost, but also public, by draining healthcare resources.
Board Composition Nexus to Financial Performance of Listed Companies on PSX: An Empirical Analysis

This paper evaluated the nexus of board composition with the financial performance of the firms listed on PSX. The research specifically considered the case of KSE-30 index and data spanned from 2014 to 2018 which asserts 5 years. The board composition was represented by board size, gender diversity, non-executive directors (NEDs), and board independence controlled by age of firms, financial leverage and firm size. For financial performance, the metrics of ROE and ROA was utilised. The analysis techniques incorporate regression and correlation. In accordance with regression, the influence on NEDs was positive on both ROA and ROE in a significant manner whereas, gender diversity affected them negatively. Besides, board size negatively and board independence positively influenced financial performance but partially. In addition, financial leverage positively and partially controlled the nexus.
Aspen Hysys and Aspen Plus Simulations for Amine Based Absorption Process Compared to Results from Experiments in CO2-RIG

In this study, equilibrium-based and rate-based simulations in Aspen HYSYS and Aspen Plus were performed to compare the removal efficiency and physical properties of density and viscosity in a CO2 absorption column. The experimental results from our previous study were used for comparison. In the equilibrium-based simulations, removal efficiency at 40 kg/hr of solvent flow rate was fitted with simulation by adjusting the Murphree efficiency of 12% in all stages. Accordingly, the equilibrium-based performed for other considered flow rates by keeping adjusted constant Murphree efficiency for all the stages in the absorber column. The variations of physical properties like density and viscosity were simulated and compared with measured properties under three different liquid to gas (L/G) ratios. Performed rate-based simulations with default molar volume/density and viscosity models of Clarke model and JonesDole model respectively were able to predict the properties with acceptable accuracy, but a deviation of 25% between measured and simulated viscosities for the lean MEA mixture was observed.