Miracle-dz/UniFAR-FTUs huggingface dataset:
Seasonal changes influence the improvement in asthma symptoms by exercise training in subjects with asthma**

Abstract Objective: To investigate whether patients with moderate-to-severe asthma who commence an exercise training program in winter or summer show differences in exercise capacity, health-related quality of life (HRQoL) and asthma symptoms. Methods: Forty-two consecutive subjects visiting the outpatient clinic were enrolled in the 17-week rehabilitation program. One group of patients received the intervention from summer to winter (SWG, n = 21), and the other group participated from winter to summer (WSG, n = 21). Before and after the exercise training program, all patients were evaluated by cardiopulmonary exercise test, pulmonary function test, quality of life questionnaire and a daily diary that evaluated clinical asthma symptoms. Results: After the training period, both groups improved similarly in health-related quality of life (HRQoL) and aerobic capacity. The WSG patients had a greater increase that those in the SWG in asthma symptom-free days (p < 0.05). Conclusions: Our results indicate that seasonal variations affect the improvement in asthma symptoms after an exercise training program but have no effect on health-related quality of life, exercise capacity or pulmonary function.
New Therapeutic Approaches in the Management of Cardiometabolic Diseases: Bringing the Concepts Together.

Cardiometabolic syndrome refers to a group of cardiometabolic risk factors that greatly increase the risk for cardiovascular diseases and other health problems. As per the consensus of the National Heart, Lung and Blood Institute (NHLBI) and American Heart Association (AHA), cardiometabolic syndrome is a constellation of 3 or more of the following risk factors: abdominal obesity, high triglycerides, dyslipidemia (lowand high-density lipoprotein cholesterol), hypertension, and elevated fasting blood glucose [1]. At this time, the therapeutic strategies are mainly aimed at the management of individual risk factors including dyslipidemia, hypertension and diabetes [2]. With the ever-rising prevalence of cardiovascular anomalies including cardiac hypertrophy, hypertension, arrhythmias, and heart failure in cardiometabolic diseases [3], it is pertinent to identify and develop novel diagnostic and therapeutic techniques to better manage the cardiovascular risk in cardiometabolic diseases. For example, the recent application of the new class of anti-diabetic drugs sodium glucose co-transporter 2 (SGLT2) inhibitors has greatly improved the cardiovascular benefits for drugs targeting cardiometabolic syndrome [4]. Here we will present this special issue of “Current Drug Target” on “Drug discovery and development in the management cardiometabolic diseases” to discuss a number of new therapeutic options in the field. Our enthusiasm for this topic came from the profound opportunities for novel therapeutic concepts in cardiometabolic diseases. It is essential to broaden our understanding for the precise mechanisms behind these therapeutic modalities in the management of cardiometabolic diseases.
XBRL Implementation: A Field Investigation to Identify Research Opportunities

ABSTRACT: The Securities and Exchange Commission (SEC) recently mandated that publicly traded companies furnish their financial statements in XBRL format. However, researchers and practitioners question whether companies are adequately prepared to implement XBRL, and whether software tools and guidance exist to lead preparers through the process of creating XBRL-related documents. This paper describes how early mandate adopters implemented XBRL reporting. Four themes emerged from our analysis: management support and involvement, implementation approach, organizational readiness or expertise, and control over the XBRL reporting process. Our study contributes to a more complete understanding of how companies implement XBRL by providing a basis for accounting researchers to identify current implementation issues and future research opportunities. Furthermore, we provide educators with a characterization of how companies implement XBRL, thereby facilitating their classroom coverage of this important topic. D.
Evaluation of circulating EBV microRNA BART2‐5p in facilitating early detection and screening of nasopharyngeal carcinoma

Nasopharyngeal carcinoma is an Epstein–Barr Virus (EBV) associated malignancy which is highly prevalent in Southeast Asia. EBV‐related antibodies have been widely used as screening markers for early nasopharyngeal carcinoma (NPC) detection. However, due to its low positive predictive rate, it is essential to develop new biomarkers to facilitate NPC early diagnosis or triage EBV serological high‐risk individuals to improve the chance of NPC early detection. BART microRNAs, which are encoded by BamHI region of EBV, were reported to be abundant in NPC and have potential value in early diagnosis of NPC. Here, we quantified circulating level of 17 BART microRNAs in discovery stage based on previous microarray and sequencing data and, in particular, BART 2‐5p, the sole candidate whose area under curve (AUC) was higher than 0.8, has been chosen for further study. In validation stage, the sensitivity, specificity and AUC of BART 2‐5p was 93.9%, 89.8%, 0.972 (95%CI: 0.954–0.989), respectively, in Cohort 1 constituted by NPC patients and controls from Hong Kong. For validation Cohort 2 consisting of patients and controls from Guangzhou, the sensitivity, specificity and AUC was 94.2%, 83.5%, 0.959 (95%CI: 0.939–0.980), respectively. To evaluate its ability to distinguish preclinical NPC patients, we established a nested case–control study with serum samples prospectively collected from 22 NPC patients prior to their clinical diagnosis and 88 matched healthy high‐risk controls in a screening trial. The sensitivity and specificity were 90.9% and 54.5%. Collectively, EBV microRNA BART2‐5p may be a valuable biomarker for early detection of NPC.
Fifteen Years of Data and Information Quality Literature: Developing a Research Agenda for Accounting

ABSTRACT: This paper provides a framework for guiding accounting-related Data and Information Quality (DIQ) research, based on four major research strands: people and decision-making, governance, operations, and technology (PGOT). The last three have been broken down further into three subtopics each, a total of ten subcategories. With people connecting the four strands, the resulting PGOT framework provides a structure to create DIQ research questions. DIQ-related articles published between the years of 1994 and 2008 were identified, the predominant research focus and method were determined. The coding identified research areas that need further exploration. Traditionally, DIQ research has been pursued by non-accountants. Accounting-oriented DIQ literature tends to concentrate on the decision aspects of the PGOT. With an increased emphasis on compliance, CobiT, and internal controls the accounting discipline can make a substantial contribution to the DIQ field, particularly with respect to the decision-m.
A Chemosensitivity Study of Colorectal Cancer Using Xenografts of Patient-Derived Tumor-Initiating Cells

Current genomic and gene expression analyses provide versatile tools to improve cancer chemotherapy. However, it is still difficult to predict whether each patient responds to a particular regimen or not. To predict chemosensitivity in each patient with colorectal cancer, we developed an evaluation method using the primary tumor-initiating cells (TIC, aka cancer stem cells) xenografted in nude mice subcutaneously (patient-derived spheroid xenografts; PDSX). Simultaneously, we also prepared the conventional patient-derived xenografts (PDX) from the same patients' tumors and compared the dosing results with those of PDSXs. We further compared the chemosensitivities of PDSXs with those of 7 patients who had been given regimens such as FOLFOX and FOLFIRI to treat their metastatic lesions. As per the results, the PDSX method provided much more precise and predictable tumor growth with less variance than conventional PDX, although both retained the epithelial characteristics of the primary tumors. Likewise, drug-dosing tests showed essentially the same results in PDXs and PDSXs, with stronger statistical power in PDSXs. Notably, the cancer chemosensitivity in each patient was precisely reflected in that of the PDSX mice along the clinical course until the resistance emerged at the terminal stage. This “paraclinical” xenograft trials using PDSXs may help selection of chemotherapy regimens efficacious for each patient, and, more importantly, avoiding inefficient ones by which the patient can lose precious time and QOL. Furthermore, the PDSX method may be employed for evaluations of off-label uses of cancer chemotherapeutics and compassionate uses of yet-unapproved new drugs in personalized therapies. Mol Cancer Ther; 17(10); 2187–96. ©2018 AACR.
Learning a Mid-Level Representation for Multiview Action Recognition

Recognizing human actions in videos is an active topic with broad commercial potentials. Most of the existing action recognition methods are supposed to have the same camera view during both training and testing. And thus performances of these single-view approaches may be severely influenced by the camera movement and variation of viewpoints. In this paper, we address the above problem by utilizing videos simultaneously recorded from multiple views. To this end, we propose a learning framework based on multitask random forest to exploit a discriminative mid-level representation for videos from multiple cameras. In the first step, subvolumes of continuous human-centered figures are extracted from original videos. In the next step, spatiotemporal cuboids sampled from these subvolumes are characterized by multiple low-level descriptors. Then a set of multitask random forests are built upon multiview cuboids sampled at adjacent positions and construct an integrated mid-level representation for multiview subvolumes of one action. Finally, a random forest classifier is employed to predict the action category in terms of the learned representation. Experiments conducted on the multiview IXMAS action dataset illustrate that the proposed method can effectively recognize human actions depicted in multiview videos.
Improving the mucosal visualization at gastroscopy: a systematic review and meta-analysis of randomized, controlled trials reporting the role of Simethicone ± N-acetylcysteine.

Background The objective of this article is to study the role of Simethicone ± N-acetylcysteine in improving the mucosal visualization during oesophago-gastro-duodenoscopy (OGD). Methods The data retrieved from the published randomized controlled trials (RCTs) reporting the role of Simethicone ± N-acetylcysteine during OGD was analysed using the principles of meta-analysis. The summated outcome of continuous variables was expressed as standardized mean difference (SMD) and dichotomous data was presented in odds ratio (OR). Results Three RCTs on 654 patients reported OGD with and without pre-procedure oral administration of Simethicone ± N-acetylcysteine evaluating visibility as good or excellent in number during the procedure. In the random effects model analysis using the statistical software Review Manager 5.3, the use of Simethicone ± N-acetylcysteine was associated with improved (OR, 0.43; 95% CI, 0.28, 0.68; z=3.65; P=0.0003) mucosal visibility. Four RCTs on 364 patients reported OGD with and without pre-procedure oral administration of Simethicone ± N-acetylcysteine evaluating visibility score in study group. In the random effects model analysis using the statistical software Review Manager 5.3, the use of Simethicone ± N-acetylcysteine was associated with improved (SMD, -1.66; 95% CI, -1.93, -1.40; z=12.25; P=0.00001) mucosal visibility score compared to no-Simethicone group. Conclusions The findings of current study on 1,099 patients successfully demonstrate that the pre-procedure oral administration of Simethicone ± N-acetylcysteine improves mucosal visualization and mucosal visualization score during OGD.
Information Security and Sarbanes-Oxley Compliance: An Exploratory Study

ABSTRACT: The Sarbanes-Oxley Act of 2002 (SOX) created a resurgence of organizational focus on internal controls. In this study, we examine the extent to which the information technology (IT) controls suggested by the ISO 17799 security framework have been integrated into organizations’ internal control environments. We collected survey data from 636 members of the Institute of Internal Auditors (IIA) on the current usage of IT controls in their organizations. In addition to identifying the most and least commonly implemented IT controls, the survey results indicate that control implementation differences exist based on a company’s status as public or private, the size of the company, and the industry in which the company operates. Training of internal auditors and/or IT personnel is also associated with significant differences in implemented controls. We discuss the implications of our research and offer suggestions for future research.
Influence of the Water-Drinking Test on Intraocular Pressure, Schlemm's Canal, and Autonomic Nervous System Activity.

Purpose To assess changes in Schlemm's canal (SC), intraocular pressure (IOP), and autonomic nervous system activity in healthy individuals after performing the water-drinking test (WDT). Methods The SC area (SCAR), trabecular meshwork (TM) thickness, IOP, high frequency (HF) of heart rate variability (HRV), heart rate (HR), and systolic (SBP) and diastolic blood pressure (DBP) were measured in 22 young healthy participants before and after the WDT, which involved drinking a 1-liter water load in 5 minutes.The SC and TM profiles were captured using a Spectralis optical coherence tomography device (anterior segment module). HF was recorded using Kubios HRV Premium software to evaluate parasympathetic nervous system activity. Results Compared with baseline values, IOP increased significantly (14.9 ± 2.7 mm Hg vs. 18.4 ± 3.3 mm Hg; P < 0.001), whereas HF (1587 ± 930 ms2 vs. 2193 ± 863 ms2; P < 0.001), mean SCAR (6521 ± 1360 μm2 vs. 5180 ± 1455 μm2; P < 0.001), and HR (69 ± 9.7 beats/min vs. 63 ± 8.9 beats/min; P < 0.001) values decreased significantly by 15 minutes after water-loading. Least significant difference pairwise comparison revealed significant fluctuations of all parameters (SCAR, IOP, HF, and HR) at 15 minutes and their recovery at 30-minutes post-WDT. TM thickness, SBP, and DBP post-WDT did not differ significantly. The increase in IOP (r = -0.4047; P = 0.010) and HF (r = -0.386; P = 0.014) correlated significantly with the decrease in SCAR. Conclusions The WDT may cause parasympathetic nervous system stimulation, leading to the collapse of SC, which leads to increased IOP.
Leveraging Financial Social Media Data for Corporate Fraud Detection

Abstract Corporate fraud can lead to significant financial losses and cause immeasurable damage to investor confidence and the overall economy. Detection of such frauds is a time-consuming and challenging task. Traditionally, researchers have been relying on financial data and/or textual content from financial statements to detect corporate fraud. Guided by systemic functional linguistics (SFL) theory, we propose an analytic framework that taps into unstructured data from financial social media platforms to assess the risk of corporate fraud. We assemble a unique data set including 64 fraudulent firms and a matched sample of 64 nonfraudulent firms, as well as the social media data prior to the firm’s alleged fraud violation in Accounting and Auditing Enforcement Releases (AAERs). Our framework automatically extracts signals such as sentiment features, emotion features, topic features, lexical features, and social network features, which are then fed into machine learning classifiers for fraud detection. We evaluate and compare the performance of our algorithm against baseline approaches using only financial ratios and language-based features respectively. We further validate the robustness of our algorithm by detecting leaked information and rumors, testing the algorithm on a new data set, and conducting an applicability check. Our results demonstrate the value of financial social media data and serve as a proof of concept of using such data to complement traditional fraud detection methods.
Maternal Responsiveness to Gestures in Children With Down Syndrome.

Purpose This study compared gesture use in young children with Down syndrome (DS) and typical development (TD) as well as how mothers respond to child gestures based on child age and diagnosis. Method Twenty-two mother-child dyads with DS and 22 mother-child dyads with TD participated. The child participants were between 22 and 63 months and were matched on chronological age. We coded child gesture use and whether mothers recoded child gestures (i.e., provided a verbal translation) during naturalistic interactions. Results The children with DS used more gestures than peers with TD. After controlling for expressive language ability, the two groups were not significantly different on child gesture use. Regardless of child diagnosis, mothers recoded approximately the same percentage of child gestures. There was a significant interaction between child diagnosis and child age when predicting the percentage of maternal gesture recodes; mothers of children with DS did not demonstrate differences in the percentage of maternal gesture recodes based on child age, but there was a negative relationship between the percentage of maternal gesture recodes and child age for the children with TD. Conclusions Young children with DS gesture more than chronological age-matched children with TD, therefore providing numerous opportunities for caregivers to recode child gestures and support language development. Early intervention should focus on increasing parent responsiveness to child gestures earlier in life in order to provide additional word-learning opportunities for children with DS.
Phase analysis in maximal sprinting: an investigation of step-to-step technical changes between the initial acceleration, transition and maximal velocity phases

Abstract The aim of this study was to investigate spatiotemporal and kinematic changes between the initial acceleration, transition and maximum velocity phases of a sprint. Sagittal plane kinematics from five experienced sprinters performing 50-m maximal sprints were collected using six HD-video cameras. Following manual digitising, spatiotemporal and kinematic variables at touchdown and toe-off were calculated. The start and end of the transition phase were identified using the step-to-step changes in centre of mass height and segment angles. Mean step-to-step changes of spatiotemporal and kinematic variables during each phase were calculated. Firstly, the study showed that if sufficient trials are available, step-to-step changes in shank and trunk angles might provide an appropriate measure to detect sprint phases in applied settings. However, given that changes in centre of mass height represent a more holistic measure, this was used to sub-divide the sprints into separate phases. Secondly, during the initial acceleration phase large step-to-step changes in touchdown kinematics were observed compared to the transition phase. At toe-off, step-to-step kinematic changes were consistent across the initial acceleration and transition phases before plateauing during the maximal velocity phase. These results provide coaches and practitioners with valuable insights into key differences between phases in maximal sprinting.
Protocol for N-of-1 trials proof of concept for rehabilitation of childhood-onset dystonia: Study 1

Background. Hyperkinetic movement disorders (HMD) are a heterogeneous group of neurological conditions among which dystonia is the predominant disorder and dyskinetic cerebral palsy the largest secondary dystonia group. Currently, there are no evidence-based, non-medical management options for childhood HMD. The Cognitive Orientation to daily Occupational Performance (CO-OP) Approach is a task-oriented, performance-based intervention that focuses on participation. Purpose. This paper reports the protocol for a proof-of-concept study to assess feasibility and preliminary evidence regarding efficacy of CO-OP for HMD following deep brain stimulation (DBS). Method. A series of N-of-1 trials with replications will be conducted with children, ages 6 and 21 years with HMD and DBS as indicated by the Manual Ability Classification System. Ten individualized CO-OP sessions, with multiple baselines before, during, and after, will be completed. The primary outcome measures are the Performance Quality Rating Scale and the Assessment of Motor and Process Skills. Outcome data will be plotted over time for each participant and supplemented with graph statistical analysis and effect size estimates. Implications. A written protocol will be developed based on evidence and feedback incorporating any changes to the CO-OP intervention for children and young people with HMD, as per the Medical Research Council’s Framework for Complex Interventions.
Possible ameliorative effect of aqueous extract of date (Phoenix dactylifera) pits in rats exposed to gamma radiation

Abstract Purpose: To evaluate the radioprotective efficacy of date (Phoenix dactylifera) pits extract (DPE) against γ-irradiation-induced liver damage in the male albino rats. For this study, 30-day survival, dose reduction factor (DRF), antioxidant status and some biochemical changes in the serum and hepatic tissue were evaluated. Materials and methods: To calculate 30-day survival, median lethal dose of 30 days (LD50/30) and DRF, DPE was orally administered to rats for 21 days before irradiation with different doses (5, 6, 8, 10 and 12 Gy) of γ-rays and the rats were observed for 30 days post-irradiation. To evaluate the radioprotective efficacy of DPE against γ-irradiation induced-liver tissue damage, animals were divided into four groups (eight animals in each group). (i) Control: rats not subjected to any treatment; (ii) DPE: DPE was orally administrated (1000 mg/kg body weight) for 21 days; (iii) RAD: rats’ whole body exposed to 5 Gy of γ-rays; (iv) DPE + RAD: rats received DPE treatment for 21 days before γ-irradiation. Animals were sacrificed on the seventh day postexposure to radiation. Results: The results showed that pretreatment prior to irradiation with DPE resulted in a significantly higher 30-day survival rate of rats after exposure to different doses of γ-irradiation. Furthermore, DPE treatment resulted in a significant improvement in the hepatic redox state, manifested by a marked increase of superoxide dismutase (SOD) and catalase (CAT) activities and glutathione content associated with a significant decrease of malondialdehyde (MDA) level. In addition, DPE exhibited hepatoprotective effect evidenced by a marked increase in serum levels of insulin, testosterone, high-density lipoprotein-cholesterol (HDL-c) and hepatic glucose 6 phosphate dehydrogenase (G6PHD) activity associated with a significant decrease in serum levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), γ-glutamyl transferase (γ-GT), glucose, total cholesterol (TC), triglycerides (TG), low density-lipoprotein cholesterol (LDL-c) and hepatic glucose 6 phosphatase (G6Pase) activity, compared with irradiated group. Moreover, DPE showed positive modulation in the levels of hepatic metals [(iron (Fe), zinc (Zn), copper (Cu) and manganese (Mn)]. Conclusions: DPE treatment prior to gamma irradiation produced biochemical changes that could lead to a reduction in radiation-induced oxidative stress. Hence, we suggest that DPE may be useful as a new natural radioprotective agent.