bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectral Method of Measuring of Changes in Time Intervals between Periodic Pulse Sequences
Authors: Sheinikov A. A. , Isaev A. V. , Zelenko V. V. , Sukhodolov Yu. V. 
Published: June 2019

Methods of measuring delay time between periodic sequences of pulses are mostly based on the considered parameter direct measurement. The main disadvantage of this approach is the difficulty of ensuring the measurements accuracy in the noise conditions. The aim of this work was to develop a method that provides the ability to accurately measure small changes in time intervals, based on the analysis of the dynamic properties of the spectrum of the delayed measurement signals sum.The developed method essence is to replace the insensitive registration of changes in the delay time between periodic pulses sequences, registration of changes in the parameters of the characteristic harmonic components of the spectrum of the resulting sum of these signals. In this case, only those harmonic components were taken into consideration that have a maximum sensitivity to delay time deviations and a minimum sensitivity to uncorrelated signal parameters changes.To achieve the maximum effect, the influence of the pulse shape of periodic sequences on the measurement accuracy was investigated. Moreover, the trapezoidal form of impulses was taken as the basic as the most common, into which all other forms of impulses can be reborn (triangular, rectangular, sinusoidal, etc.).The calculation results showed the effectiveness of the proposed method in order to reduce the measurement error of small changes in time intervals. In this case, the attenuation error coefficient compared with the existing measurement method amounted to Kwe = 4,78. Using the proposed approach opens up the possibility of improving the algorithmic support of measuring instruments in order to automate them and increase the measurements accuracy.
Technique for Measuring the Internal Diameter and Area of Visible Vessels of the Eye
Authors: Firago V. A. , Kubarko A. I. 
Published: June 2019

The study of the effects on the microvasculature of various vasoactive drugs requires appro-priate methods and equipment for determining the basic physiological parameters of small blood vessels: their internal diameter and cross-sectional area, specific density, and blood flow velocity. Therefore, the purpose of the article is to study the possibilities of improving the reliability of determining the internal diameter and cross-sectional area of the visible blood vessels of bulbar con-junctival of the eye.A technique for obtaining digital video recordings of the bulbar conjunctiva of the eye, based on the pulse illumination of the study area, is proposed. A prototype of the equipment with a spatial resolution of 2 µm video is described, which allows to trace all visible blood vessels, including capillaries. An algorithm for stabilizing the position of a sequence of digital images of the bulbar conjunctiva relative to the first frame is discussed. It is based on the use of subpixel interpolation when searching for a global minimum of the standard deviation of the differences in brightness of the first and selected frame.The proposed algorithms for tracing the vascular pattern and determining the internal diameter and cross-sectional area of the blood vessels are described. An original method for calculating them is proposed, which is based on determining the area and height of a cross section of a blood vessel image. The problem of verification of the obtained results is discussed.The described approach to make it possible to create diagnostic images of the visible blood vessels of the bulbar conjunctiva, including the capillaries, with an indication of their diameters. Examples of the construction of histograms of the distribution of the internal diameter and cross-sectional area of these blood vessels are presented.The proposed technique and hardware solutions have the prospect of being used in creating equipment for complex non-invasive diagnostics of the microvasculature and monitoring the effectiveness of treating various diseases of the cardiovascular system, since the conditions of the eye blood vessels correlate with the state of the blood vessels in other organs.
TIMP-2 secreted by monocytes is a potent suppressor of invadopodia formation in pancreatic cancer cells
Authors: Benzing Christian , Lam Hoyin , Tsang Chi Man , Arroyo-Berdugo Yoana , Calle-Patino Yolanda , Wells Claire 
Published: June 2019

Abstract
Background
Monocytes are a major component of the tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC). However, the complex interactions between tumor cells and monocytes and their role in tumor invasion have not been fully established.
Methods
In this in vitro study, to specifically test the impact of interaction on invasive potential, two PDAC cell lines PaTu8902 and CFPAC-1 were selected on their ability to form invasive adhesions, otherwise known as invadopodia. Co-culture experiments were performed using undifferentiated THP1 monocytes.
Results
When the PDAC cells were co-cultured with undifferentiated THP1 monocytes invadopodia formation was significantly suppressed. Moreover, conditioned media of THP1 cells (CM) was also able to suppress invadopodia formation. Further investigation revealed that both tissue inhibitor of metalloproteinase (TIMP) 1 and 2 were present in the CM. However, suppression of invadopodia formation was found that was specific to TIMP2 activity.
Conclusions
Our findings indicate that TIMP2 levels in the tumour microenvironment may have prognostic value in patients with PDAC. Furthermore, activation of TIMP2 expressing monocytes in the primary tumour could present a potential therapeutic opportunity to suppress cell invasion in PDAC.
A Post-Method Condition Analysis of Using Ensemble Machine Learning for Cancer Prognosis and Diagnosis: a systematic review
Authors: Kavousi Kaveh , Mirsadeghi Leila , Hosseini Reza Haji , Banaei-Moghaddam Ali Mohammad , Beh-Afarin Seyed Reza 
Published: June 2019

Abstract
Background

Ensemble methods are supervised learning approaches that integrate different types of data or multiple individual classifiers. It has been shown that these methods can improve professional performance.

Methods

This study is an attempt to provide an in-depth review on 45 most relevant articles and aims to introduce 42 ensemble classifier (EC) machine learning methods used for the detection of 18 different types of cancer. Compared to other types of cancer, breast cancer, and the 22 ensemble methods introduced for its identification, is extensively investigated. The purpose of this study was to identify, map, and analyze the current academic discourse on EC machine learning methods in order to: 1. identify overarching themes emerging from empirical studies regarding EC methods, 2. determine their input data and decision-making strategies, and 3. evaluate relevant statistical procedures.

Results

By comparing various approaches, we can introduce Relevance Vector Machine (RVM)-based ensemble learning method that can provide optimal solutions for problems such as curse the dimensionality and high-dimensionality of feature space without missing data values.

Conclusions

To obtain robust performance and achieve better results, it is tactfully suggested to use multi-omics data integration, which has demonstrated to identify cancers and their subtypes more efficiently.
Understanding Family Caregivers’ Needs to Support Relatives with Advanced Disease at Home: An Ethnographic Study in Rural Portugal
Authors: Teixeira Maria Joao Cardoso , Abreu Wilson , Costa Nilza , Maddocks Matthew 
Published: June 2019

Abstract
Background

Family caregivers play an important role supporting their relatives with advanced progressive disease to live at home. There is limited research to understand family caregiver needs over time, particularly outside of high-income settings. The aim of this study was to explore family caregivers’ experiences of caring for a relative living with advanced progressive disease at home, and their perceptions of met and unmet care needs over time.

Methods

An ethnographic study comprising observations and interviews. A purposive sample of 10 family caregivers and 10 relatives was recruited within a rural area in the north of Portugal. Data were collected between 2014-16 using serial participant observations (n=33) and in-depth interviews (n=11). Thematic content analysis was used to analyse the data.

Results

Five overarching themes were yielded: (1) provision of care towards independence and prevention of complications; (2) perceived and (3) unknown caregiver needs; (4) caregivers’ physical and emotional impairments; and (5) balancing limited time. An imbalance towards any one of these aspects may lead to reduced capability and performance of the family caregiver, with increased risk of complications for their relative. However, with balance, family caregivers embraced their role over time.

Conclusions

Our findings enhance understanding around the needs of family caregivers, which are optimally met when professionals and family caregivers work together with a collaborative approach over time. Patients and their families should be seen as equal partners. Family-focused care would enhance nursing practice in this context and this research can inform nursing training and educational programs.
Team-Based Learning Student Assessment Instrument (TBL-SAI) for measuring the effectiveness of TBL in a Saudi Medical School: Psychometric Analysis and differences by academic years
Authors: Ibrahim Mutasim E 
Published: June 2019

Abstract
Background

Increasing the use of Team Based Learning (TBL) in health profession education reinforce the need to develop a proper instrument for measuring the applicability of this method. This study aimed to examine the psychometric properties of TBL-SAI and the mean score of instrument subscales by the different academic year of the students.

Methods

Across-sectional study was conducted at the University of Bisha, College of Medicine (UBCOM), Saudi Arabia. Medical students from second to fourth were included in the study. Participants were completed the TBL-SAI items to measure three subscales of accountability, preference for a lecture or TBL and satisfaction. Cronbach’s alpha, factor analysis, were checked the reliability and validity of the instrument. A principal component analysis (PCA) with varimax rotation was conducted on each subscale. ANOVA analyzed the TBL effectiveness related to the different years of medical school.

Results

Cronbach’s alpha was 0.798 and factor loading was greater than 0.40 for all the items, indicating the reliability and validity of the scale. In a PCA, accountability items generated two factors with loading >0.40, except items one and four. All preference and satisfaction items have factors loading > 0.40. Fourth-year students’ obtained significant highest mean scores for accountability (p=0.0.49), preferences (p=0.001) and satisfaction (p<0.001) compared to third and second years students.

Conclusions

TBL-SAI is a sound tool to measure the favor of TBL among medical students. Longitudinal studies are recommended to bring a clear picture of the effectiveness of TBL in UBCOM.
Effect and mechanism of YH0618 granule on chemotherapy- induced hair loss in patients with breast cancer: study protocol for a randomized, double-blind, multi-center clinical trial
Authors: You Jie-shu , Guo Li , Huang Mei , Shi Xin-lei , Lin Man-di , Guo Zhen , Cao Ya-li , Sun You-zhi , Xu Qian , Qu Wei-ling , Liu Huan-lan , Lin Yi , Chen Qian-Jun , Chen Jianping 
Published: June 2019

Abstract
Background: Hair loss is one of the most common side effects of chemotherapy, which can cause persistent negative emotions, further affecting therapeutic effects and reducing the quality of life. However, there is no clinically safe and effective methods to solve the problem at present. Our previous clinical and animal studies showed that a medicinal and edible decoction YH0618 could significantly promote hair growth in cancer patients after chemotherapy, without interfering with the anti-tumor effect of chemotherapy. Besides, the theory of Chinese Medicine believes “Essence of the kidney is reflected on the hair”. Therefore, this study will further explore the efficacy of YH0618 granule on chemotherapy-induced hair loss in patients with breast cancer by a randomized, double-blind, multi-center clinical trial and elucidate the potential mechanism from the aspect of kidney deficiency or renal dysfunction.
Methods/Design: Eligible breast cancer patients who will start chemotherapy will be randomly divided into group A (YH0618 granule) and group B (placebo). The chemotherapeutic agents contains Taxanes or/and Anthracyclines, and chemotherapy regimen will last at least 6 cycles with every three weeks a cycle. Subjects assigned to group A will receive YH0618 granules two times a day (6 g each time), 6 days a week, mixing with 300 ml warm water from the first to the fourth chemotherapy cycle. Subjects in group B will receive the placebo granule in the same manner. The primary outcome is the time point of occurrence of hair loss reaching grade II assessed by WHO Toxicity Grading Scale, and objective indexes of hair quality and hair follicle recorded by a hair and scalp detector before the fifth chemotherapy. Secondary outcomes include changes of facial color and thumbnails color, grading of thumbnails ridging, assessment of quality life, fatigue, routine blood test, hepatic and renal function, and some medical indicators which can reflect kidney deficiency in Chinese Medicine.
Discussion: This research is of great significance for the treatment of cancer and improving the quality of life of patients. The study may provide the most direct evidence for meeting clinical needs and lay a solid scientific foundation for later product development.
Trial registration: The trial was registered on 14 December 2018 at Chinese Clinical Trial Registry: ChiCTR1800020107.
Aortocaval compression resulting in sudden loss of consciousness and severe bradycardia and hypotension during cesarean section in a patient with subvalvular aortic stenosis
Authors: Chen Shouming , Wu Lan , Jiang xiaoqin 
Published: June 2019

Abstract
Background

Maternal cardiac arrest during cesarean section (CS) is an extremely rare but devastating complication. Preventing emergency events from developing into maternal cardiac arrest is one of the most challenging clinical scenarios.

Case presentation

A 35-year-old pregnant woman with subvalvular aortic stenosis who was scheduled for elective CS under epidural anesthesia, and experienced devastating supine hypotensive syndrome, but was successfully resuscitated after delivery.

Conclusions

The performance of tilt position strictly or high-quality continue manual left uterine displacement (LUD) should be performed until the fetus is delivered, otherwise timely delivery of the fetus may be the best way to optimize the deadly condition.
Networks of Canadian Business Elites: Historical Corporate Interlock Networks circa 1912
Authors: MacKay Jon 
Published: June 2019

Abstract
This paper provides details about a historical dataset of Canadian corporations and business elites who served on corporate boards circa 1912. The source of this corporate interlock data is the Directory of Directors in Canada, 1912, a public domain volume listing Canadian public companies in Canada. Because these data are thought to be of interest not only to network researchers, but also to business historians and management scholars, an attempt has been made to make the data as easy to use as possible. Supplementary information has also been added to the network files provided. All of the individuals and companies in the dataset have been geolocated. The proper 1911 Census Division a company was located in has also been added so that the networks can be combined with other publicly available data from the period. Two sets of graph files are provided in CSV format with other formats provided on the author’s website. The first file contains corporations as the nodes with directors as edges. The second file has the individual directors as nodes and edges connecting them are corporate boards individuals both sat on.
A new HGA-FLVQ model for Mycobacterium Tuberculosis detection
Authors: Charibaldi N. , Harjoko A. , Azhari  , Hisyam B. 
Published: June 2019

Abstract
This research aims at develop an MTB detection model from the FLVQ neural network to HGA-FLVQ model. In this research, the FLVQ method was developed through strengthening its initiation, in which the first cluster centers used as FLVQ input were optimized first by HGA. The results show that sensitivity and specificity of the HGA-FLVQ model reach 96.30 and 95.65%, whereas the sensitivity of an FLVQ method is 70.83%, and the sensitivity of an LVQ method is 87.50%. The specificity of an FLVQ method and the specificity of an LVQ method are 84.62%. Based on these results, we can say that the HGA-FLVQ model is better than FLVQ and LVQ methods. It also means that relative amplitude can be used by the HGA-FLVQ model as a feature to detect the presence of MTB in the sputum of TB-suspected patients. Thus, the HGA-FLVQ model can be used to strengthen TB laboratory examination at Public Health Centers in Indonesia.
ECG Decision Support System based on feedforward Neural Networks
Authors: Lassoued Hela , Ketata Raouf , Yacoub Slim 
Published: June 2019

Abstract
The success of an Electrocardiogram (ECG) Decision Support System (DSS) requires the use of an optimum machine learning approach. For this purpose, this paper investigates the use of three feedforward neural networks; the Multilayer Perceptron (MLP), the Radial Basic Function Network (RBF), and the Probabilistic Neural Network (PNN) for recognition of normal and abnormal heartbeats. Feature sets were based on ECG morphology and Discrete Wavelet Transformer (DWT) coefficients. Then, a correlation between features was applied. After that, networks were configured and consequently used for the ECG classification. Next, with respect to the performance criteria fixed by the DSS users, a comparative study between them was deduced. Results show that for classifying the MIT-BIH arrhythmia database signals, the RBF (ACC = 99.9%) was retained as the most accurate network, the PNN (Tr_ttime = 0.070 s) as the rapidest network in the training stage and the MLP (Test_time = 0.096 s) as the rapidest network in testing stage.
ANALYSIS OF ACCURACY OF SPATIAL SYNCHRONIZATION OF TEMPORAL POSITION OF SIGNALS OF PULSED PHASED ANTENNA ARRAY OF SUBNANOSECOND RANGE IN PRESENCE OF RANDOM CHANNEL DELAYS
Authors: Flerov A. N. , Flerova A. A. 
Published: June 2019

The structure of the pulsed phased antenna array (PPAA) of the sub nanosecond range with the system of automatic synchronization  of the temporal position of the emitted ultra short pulses is presented. The analysis of the causes and the quantitative estimation of the instrumental error of the PPAA channels has been carried out. The partial contribution to the instrumental error of the  channel functional nodes is estimated. Mathematical modeling has been carried out in order to assess the effect of channel delay  spread on the total intensity of the emitted signal for the Gaussian and normal laws of their distribution. An acceptable range of variation of channel delay values is determined, correlated to the duration of the pulses emitted by the antenna modules, with an  acceptable reduction in the quality of their spatial synchronization. The locations of possible localization in the PPAA structure of  temporal modulators intended for the initial alignment of channels and electronic scanning by the beam of the radiation pattern are indicated. The requirements for the parameters of splitter modulators are formulated. The simulation results are confirmed  by experimental studies.
Structured Telephone Support Intervention: Improved Heart Failure Outcomes
Authors: Johansson Marcia , Athilingam Ponrathi 
Published: June 2019

Background
Presently, 6.5 million Americans are living with heart failure (HF). These patients are expected to follow a complex self-management regimen at home. Several demographic and psychosocial factors limit patients with HF in following the prescribed self-management recommendations at home. Poor self-care is associated with increased hospital re-admissions. Under the Affordable Care Act, there are financial implications related to hospital re-admissions for hospitals and programs such as the Program of All-Inclusive Care for the Elderly (PACE) in Pinellas County, Florida. Previous studies and systematic reviews demonstrated improvement in self-management and quality of life (QoL) in patients with HF with structured telephone support (STS) and short message service text messaging (SMS).

Objective
This study aimed to evaluate the effects of STS and SMS on self-care, knowledge, medication adherence, and QoL of patients with HF.

Methods
A prospective quality improvement project using a pre-post design was implemented. Data were collected at baseline, 30 days, and 3 months from 51 patients with HF who were enrolled in PACE in Pinellas County, Florida. All participants received STS and SMS for 30 days. The feasibility and sustained benefit of using STS and SMS was assessed at a 3-month follow-up.

Results
A paired t test was used to compare the mean difference in HF outcomes at the baseline and 30-day follow-up, which demonstrated improved HF self-care maintenance (t49=0.66; P=.01), HF knowledge (t49=0.71; P=.01), medication adherence (t49=0.92; P=.01), and physical and mental health measured using Short-Form-12 (SF-12; t49=0.81; P=.01). The results also demonstrated the sustained benefit with improved HF self-care maintenance, self-care management, self-care confidence, knowledge, medication adherence, and physical and mental health (SF-12) at 3 months with P<.05 for all outcomes. Living status and social support had a strong correlation with HF outcomes. Younger participants (aged less than 65 years) performed extremely well compared with older adults.

Conclusions
STS and SMS were feasible to use among PACE participants with sustained benefits at 3 months. Implementing STS and SMS may serve as viable options to improve HF outcomes. Improving outcomes with HF affects hospital systems and the agencies that monitor and provide care for outpatients and those in independent or assisted-living facilities. Investigating viable options and support for implementation will improve outcomes.