bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive Accuracy of Dobutamine Stress Echocardiography in Detection of Presence and Extent of Coronary Artery Disease
Authors: Ahmed Moeen Uddin , Reza AQM , Mohsin Khaled 
Published: January 2019

Introduction: Exercise tolerance test (ETT) is an established screening test for coronary artery disease (CAD), but not feasible in 30−40% of patients. Dobutamine stress echocardiography (DSE) is an excellent alternative. Traditionally, inducible worsening of wall motion by 1 grade from baseline provides an index of CAD; worsening by 2 grade or more theoretically represents a more severe perfusion abnormality. The present study represents the inaugural experience of DSE at the National Institute of Cardiovascular Disease, Dhaka.
Objective: To assess the predictive accuracy of DSE results with the presence and extent of CAD in subjects with suspected stable angina pectoris.
Materials and Methods: In this prospective observational study, 35 subjects with intermediate to high probability of CAD were subjected to DSE followed by coronary angiography (CAG) within one month. Comparison of DSE results and predicted coronary artery involvement with angiographic findings were done. Overall sensitivity, specificity, accuracy as well as accuracy by arterial territory involvement were calculated.
Results: DSE identified 82 abnormal segments, 66 with 1 grade change in 23 subjects (Group A) and 16 with 2 grade change in 8 subjects (Group B). CAG detected 54 significant lesions, 23 (42.59%) in left circumflex (LCX), 18 (33.33%) in left anterior descending (LAD), 11 (20.37%) in right coronary (RCA) and 2 (3.7%) in left coronary (LCA) artery. DSE had a sensitivity of 93.1% and a specificity of 66.7%. The accuracy was 88.57% overall, 94.29% for LAD and 91.43% for both LCX and RCA territories. Group B subjects had significantly higher number of coronary stenosis per patient (2.63 versus 1.38, p<0.001), triple vessel (62.5% versus 8.6%, p=0.003) and lower single vessel CAD (0% versus 47.8%, p=0.005).
Conclusion: This study shows that DSE is a reliable test for prediction of the presence and extent of CAD.
J Enam Med Col 2019; 9(1): 16-24
Electrolyte Disturbances in Acute Exacerbation of COPD
Authors: Rashid Md Haroon Ur 
Published: January 2019

Background: Chronic obstructive pulmonary disease (COPD) is a major cause of chronic morbidity and mortality worldwide. Acute exacerbation is an acute and sustained worsening of a patient’s condition from a stable state and it is associated with significant electrolyte disturbances.
Objectives: The main objective of this study was to determine the prevalence of electrolyte disturbances in patients with acute exacerbation of COPD and to determine possible effects of these electrolyte disorders.
Materials and Methods: This observational prospective study was carried out in the Department of Pulmonology, Enam Medical College & Hospital from 1st January to 31st December 2017. Sixty patients with acute exacerbation of COPD were included. Serum electrolytes and arterial blood gases were measured.
Results: Low level of serum sodium (131 ± 5.66 mEq/L) and potassium (3.20 ± 0.44 mEq/L) were found in subjects with acute exacerbation of COPD. In patients with respiratory failure Na+ and K+ levels were even lower.
Conclusion: Serum electrolytes in acute exacerbation of COPD patients should be monitored routinely and should be corrected early to avoid poor outcomes.
J Enam Med Col 2019; 9(1): 25-29
Comparison of Genetic Variation of Anthurium (Anthurium andraeanum) Cultivars Using SCoT, CDDP and RAPD Markers
Authors: Saidi Abbas , Daneshvar Zahra , Hajibarat Zohreh 
Published: January 2019

To evaluate the genetic diversity among 10 cultivars of anthurium were performed using three molecular markers such as Start Codon Targeted (SCoT) and Conserved DNA-derived Polymorphism (CDDP), and Random Amplification of Polymorphic DNA (RAPD). Polymorphism index content (PIC) was calculated 0.39, 0.42 and 0.37 for RAPD, SCoT and CDDP, respectively. This result showed all the three molecular markers had almost an identical potential in estimating genetic diversity. Cluster analysis using SCoT, CDDP and RAPD divided the cultivars to three distinct clusters. The similarity matrix obtained through SCoT and CDDP was positively significantly correlated (r = 0.76, p < 0.01). This is the first report in which the efficiency of two targeted DNA region molecular markers (SCoT and CDDP) together with RAPD technique have been compared with each other in a set of anthurium cultivras. Results suggested that SCOT, CDDP and RAPD fingerprinting techniques are of sufficient ability to detect polymorphism in anthurium cultivars.
Plant Tissue Cult. & Biotech. 28(2): 171-182, 2018 (December)
Variability and Correlation Studies on Induced Mutants of Marigold (Tagetes erecta L.) for Different Traits and Assessing Them Using Molecular Markers
Authors: Majumder Jayoti , Singh SK , Kumari Meenu , Verma Manjusha 
Published: January 2019

Induced mutations are important for creating novel variabilities in marigold for different purposes. Distinct putative mutants of marigold var. Pusa Narangi Gainda generated through gamma irradiation (in vivo and in vitro), were studied for variability and correlation in M2 generation for 11 traits. The maximum heritability (h2) was noted for days to flower harvest (0.9982%). The highest positive phenotypic correlation (0.637) was noted for number of flowers per plant to the days to first flower harvest. The most positive genotypic correlation (0.915) was found for seed yield (g) to the number of flowers per plant. Furthermore, the putative mutants in M2 were assessed for their diversity using ISSR markers and the amplified DNA fragments were compared with their respective parent genotype maintained (in vivo and in vitro). Single marker regression analysis indicated that the ISSR 811 and ISSR 817 were highly efficient markers for mutant identification in marigold. On the basis of dendrogram, putative mutant No. 3 (pm3) showed the highest dissimilarity with the parent (0.58). The mutants, pm5 and pm6 were found to be similar to each other (0.65), though they were quite distinct from the parent genotype morphologically. These selected mutants were multiplied up to six generations to attain the desired level of homozygosity for their large scale field evaluation.
Plant Tissue Cult. & Biotech. 28(2): 223-236, 2018 (December)
Inferring Gene Regulatory Network with Recurrent Neural Network and Extended Artificial Bee Colony Algorithm
Authors: Hossain Tausif Al , Shoyaib Mohammad , Md Tareeq Saifuddin 
Published: January 2019

Gene regulatory network is the network of genes interacting with each other performing as functional circuitry inside a cell. Many cellular processes are controlled by this network as they govern the expression levels of genes or gene product. High performance computational techniques are needed to analyze these data as it is heavily affected by noise. There are a number of algorithms available in the literature which use recurrent neural network for model building together with differential evolution, particle swarm optimization or genetic algorithm for searching the regulatory network. The problem with these methods is that they may trap in the local minimum. In this paper, we present an algorithm using recurrent neural network as model and an extended artificial bee colony algorithm for searching regulatory network that can avoid local minimum. A comprehensive analysis on both artificial and real data shows the effectiveness of the proposed approach. Furthermore we have also varied the network dimension and the noise level present in gene expression profiles. The reconstruction method has successfully predicted the underlying network topology while maintaining high accuracy. The proposed approach has also been applied to the real expression data of SOS DNA repair system in Escherichia coli and successfully predicted important regulations.
Plant Tissue Cult. & Biotech. 28(2): 237-250, 2018 (December)
PENGGUNAAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) PADA SISTEM PENUNJANG KEPUTUSAN DALAM PENENTUAN JURUSAN SMK
Authors: Susliansyah Susliansyah 
Published: January 2019

Sebagian besar siswa lulusan SMP berkeinginan untuk melanjutkan keinginannya khususnya ke SMK, hal tersebut dapat dibuktikan dengan banyaknya siswa lulusan SMP yang mengikuti ujian masuk ke SMK. Hal yang patut disayangkan adalah kurang matangnya mereka memilih jurusan yang ada di sekolah kejuruan yang dituju. Situasi semacam ini berdampak pada biaya pendidikan yang terlanjur di keluarkan, baik pada orang tua siswa maupun pemerintah yang mensubsidi sekolah menjadi tidak bermanfaat karna siswa tersebut tidak memiliki kemampuan yang memadai untuk jurusan yang sudah dipilihnya, akibat negatif lainya adalah para siswa yang drop out. SMK lebih mengedepankan pembentukan siswa yang siap memasuki lapangan kerja serta mengembangkan sikap profesional yang terdiri dari berbagai macam jurusan. Banyaknya jurusan pada tingkat SMK membuat calon siswa kesulitan menentukan jurusan yang tepat sesuai dengan kemampuan yang dimiliki, oleh karena itu dibutuhkan sebuah sistem pendukung keputusan yang dapat menentukan jurusan sesuai dengan nilai, minat dan kemampuan calon siswa. Penelitian ini menerapkan logika fuzzy dengan metode Simple Additive Weighting (SAW) guna mempermudah penentuan jurusan SMK.
IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA PEMILIHAN TIPE GENRE FILM ANIME (STUDI KASUS : MYANIMELIST.NET)
Authors: Azis Moch Abdul , Hadianto Nur , Miharja Jaja , Rifai Saifulloh 
Published: January 2019

Seperti halnya film animasi jepang atau bisa juga di sebut dengan film anime yang kini mulai banyak digemari oleh semua kalangan tanpa pandang umur, status dan profesi. Pada film anime jepang ini memiliki memiliki beberapa genre dari action, comedy, drama, romance, adventure dll, bisa diakses seperti pada media online seperti website yang menyajikan macam-macam genre anime salah satunya adalah myanimelist.net pada web ini memiliki 14.000 film anime berbagi genre. Salah satu cara untuk meningkatkan daya tarik film anime adalah dengan pemanfaatan data pelihan genre yang sering di tonton oleh para penikmat film anime. Dengan data tersebut kita busa menganalisa tipe genre apa yang paling banyak di tonton, serta kecenderungan pemilihan tipe genre alternatif yang disukai oleh para penikmat film anime. Sehingga dengan data-data tersebut pihak creator bisa menentukan strategi untuk realese tipe genre yang akan dibuat berikutnya. algoritma apriori bagus untuk digunakan untuk pembentukan itemset, pencarian pola dan lain sebagainya. Maka dari itu pada penelitian kali ini Algoritma apriori digunakan untuk menentukan pola pemililihan tipe genre pada Film Anime Jepang.
Estudo das funções trigonométricas a partir da Teoria da Aprendizagem Significativa
Authors: Costa Felipe de Almeida , Allevato Norma Suely Gomes 
Published: February 2019

Este artigo apresenta uma análise da produção de estudantes na resolução de uma situação-problema envolvendo funções trigonométricas. A atividade foi extraída do Caderno do Aluno, material elaborado pela Secretaria de Estado da Educação de São Paulo. Participaram da resolução estudantes do 2º ano do Ensino Médio de uma escola pública de São Paulo. O trabalho dos estudantes foi realizado em grupos. O desenvolvimento da atividade envolvia um organizador prévio elaborado no GeoGebra e a consideração dos pesquisadores de que conhecimentos prévios estavam disponíveis na aquisição do conhecimento novo envolvido, subsidiados pela Teoria da Aprendizagem Significativa de David Ausubel. A situação envolveu questões relativas às funções y = Asen(Bx) + C e y = Acos(Bx) + C e teve por objetivo possibilitar o aprofundamento de conhecimentos sobre funções trigonométricas, mais especificamente a avaliação dos efeitos dos parâmetros A, B e C. As análises revelaram que, no uso de um software de geometria dinâmica, na condição de organizador prévio e com a existência de conhecimentos prévios, as funções y = sen(x) e y = cos(x) potencializam a aprendizagem dos estudantes acerca dos conhecimentos novos da situação-problema proposta.
The Impact of Stripped Nuclei on the Supermassive Black Hole Number Density in the Local Universe
Authors: Voggel Karina T. , Seth Anil C. , Baumgardt Holger , Mieske Steffen , Pfeffer Joel , Rasskazov Alexander 
Published: January 2019

Abstract
The recent discovery of supermassive black holes (SMBHs) in high mass ultra-compact dwarf galaxies (UCDs) suggests that at least some UCDs are the nuclear star clusters of stripped galaxies. In this paper we present a new method to estimate how many UCDs host an SMBH and thus are stripped galaxy nuclei. We revisit the dynamical mass measurements that suggest many UCDs have more mass than expected from stellar population estimates, which observations have shown is due to the presence of an SMBH. We revise the stellar population mass estimates using a new empirical relation between the mass-to-light ratio (M/L) and metallicity to predict which UCDs most likely host an SMBH. We calculate the fraction of UCDs that host SMBHs across their entire luminosity range for the first time. We then apply the SMBH occupation fraction to the observed luminosity function of UCDs and estimate that in the Fornax and Virgo clusters alone there should be

stripped nuclei with SMBHs. This analysis shows that stripped nuclei are almost as common in clusters as present-day galaxy nuclei. We estimate the SMBH number density caused by stripped nuclei to be (2–8) × 10−3 Mpc−3, which represents a significant fraction (8%–32%) of the SMBH density in the local universe. These SMBHs hidden in stripped nuclei increase expected event rates for tidal disruption events and SMBH–SMBH and SMBH–BH mergers. The existence of numerous stripped nuclei with SMBHs are a direct consequence of hierarchical galaxy formation, but until now their impact on the SMBH density had not been quantified.
Magnetic Fields and the Supply of Low-frequency Acoustic Wave Energy to the Solar Chromosphere
Authors: Rajaguru S. P. , Sangeetha C. R. , Tripathi Durgesh 
Published: January 2019

Abstract
The problem of solar chromospheric heating remains a challenging one with wider implications for stellar physics. Several studies in the recent past have shown that small-scale inclined magnetic field elements channel copious energetic low-frequency acoustic waves, which are normally trapped below the photosphere. These magnetoacoustic waves are expected to shock at chromospheric heights, contributing to chromospheric heating. In this work, exploiting simultaneous observations of photospheric vector magnetic field, Doppler, continuum, and line-core intensity (of Fe i 6173 Å) from the Helioseismic and Magnetic Imager and lower-atmospheric UV emission maps in the 1700 and 1600 Å channels of the Atmospheric Imaging Assembly, both on board the Solar Dynamics Observatory of NASA, we revisit the relationships between magnetic field properties (inclination and strength) and the propagation of acoustic waves (phase travel time). We find that the flux of acoustic energy, in the 2–5 mHz frequency range, between the upper photosphere and lower chromosphere is in the range of 2.25–2.6 kW m−2, which is about twice the previous estimates. We identify that the relatively less inclined magnetic field elements in the quiet Sun channel a significant amount of waves of frequency lower than the theoretical minimum acoustic cutoff frequency due to magnetic inclination. We also derive indications that these waves steepen and start to dissipate within the height ranges probed, while those let out due to inclined magnetic fields pass through. We explore connections with existing theoretical and numerical results that could explain the origin of these waves.
The Evolution toward Electron Capture Supernovae: The Flame Propagation and the Pre-bounce Electron–Neutrino Radiation
Authors: Takahashi Koh , Sumiyoshi Kohsuke , Yamada Shoichi , Umeda Hideyuki , Yoshida Takashi 
Published: January 2019

Abstract
A critical-mass ONe core with a high ignition density is considered to end in gravitational collapse leading to neutron star formation. Being distinct from an Fe core collapse, the final evolution involves combustion flame propagation, in which complex phase transition from ONe elements into the nuclear statistical equilibrium (NSE) state takes place. We simulate the core evolution from the O+Ne ignition until the bounce shock penetrates the whole core, using a state-of-the-art 1D Lagrangian neutrino radiation hydrodynamic code, in which important nuclear burning, electron capture, and neutrino reactions are taken into account. Special care is also taken in making a stable initial condition by importing the stellar equation of state, which is used for the progenitor evolution calculation, and by improving the remapping process. We find that the central ignition leads to intense ν

e
radiation with

erg s−1 powered by fast electron captures onto NSE isotopes. This pre-bounce ν

e
radiation heats the surroundings by the neutrino–electron scattering, which acts as a new driving mechanism of the flame propagation together with the adiabatic contraction. The resulting flame velocity of ∼108 cm s−1 will be more than one order of magnitude faster than that of a laminar flame driven by heat conduction. We also find that the duration of the pre-bounce ν

e
radiation phase depends on the degree of the core hydrostatic/dynamical stability. Therefore, the future detection of the pre-bounce neutrino is important not only to discriminate the ONe core collapse from the Fe core collapse but also to constrain the progenitor hydrodynamical stability.
Formation of Extremely Low-mass White Dwarfs in Double Degenerates
Authors: Li Zhenwei , Chen Xuefei , Chen Hai-Liang , Han Zhanwen 
Published: January 2019

Abstract
Extremely low-mass white dwarfs (ELM WDs) are helium WDs with a mass less than ∼0.3 M
⊙. Most ELM WDs are found in double degenerates (DDs) in the ELM Survey led by Brown and Kilic. These systems are supposed to be significant gravitational-wave sources in the mHz frequency. In this paper, we first analyzed the observational characteristics of ELM WDs and found that there are two distinct groups in the ELM WD mass and orbital period plane, indicating two different formation scenarios of such objects, i.e., a stable Roche lobe overflow channel (RL channel) and common envelope ejection channel (CE channel). We then systematically investigated the formation of ELM WDs in DDs by a combination of detailed binary evolution calculation and binary population synthesis. Our study shows that the majority of ELM WDs with mass less than 0.22 M
⊙ are formed from the RL channel. The most common progenitor mass in this way is in the range of 1.15–1.45 M
⊙, and the resulting ELM WDs have a peak around 0.18 M
⊙ when selection effects are taken into account, consistent with observations. The ELM WDs with a mass larger than 0.22 M
⊙ are more likely to be from the CE channel and have a peak of ELM WD mass around 0.25 M
⊙, which needs to be confirmed by future observations. By assuming a constant star formation rate of 2 M
⊙ yr−1 for a Milky Way–like galaxy, the birth rate and local density are 5 × 10−4 yr−1 and 1500 kpc−3, respectively, for DDs with an ELM WD mass less than 0.25 M
⊙.
Preceptors' Subjective Competency Ratings in Acute Care Hospitals in Taiwan
Authors: Chen Su-Ru , Chiu Hsiao-Ting , Lin Li-Min , Lin Pi-Chu 
Published: January 2019

Background:
This study focused on developing a Subjective Competency Scale (SCS) in acute care hospitals and identified factors that affect preceptors' competency to precept new graduate nurses (NGNs).

Method:
This study was conducted in two stages that included collecting information on preceptor training courses and conducting a cross-sectional questionnaire survey. A total of 350 preceptors completed the survey in 2011. The validity and reliability of the SCS were determined.

Results:

An SCS was developed using 22 items and five factors: teaching/assessment skills, interpersonal/communication skills, confidence/self-assurance, problem-solving/stress-coping skills, and self-reflection. These explained 69.73% of the variance. Cronbach's alpha for these five factors of scale ranged from .715 to .889. Preceptors' subjective competency was correlated positively with age, years as a nurse, years as a preceptor, willingness to be a preceptor, and self-rated relationship with NGNs (
p
< .001).

Conclusion:

The SCS exhibited high validity and reliability; therefore, it can be used for future preceptors' subjective competency assessment and evaluation.

[
J Contin Educ Nurs.
2019;50(2):69–78.]
Effectiveness of an Educational Program on Nurses' Knowledge and Practice in the Management of Acute Painful Crises in Sickle Cell Disease
Authors: Yacoub Mohammed Ibrahim , Zaiton Hala Ibrahim , Abdelghani Faten A. , Elshatarat Rami A. 
Published: January 2019

Background:
Sickle cell disease (SCD) affects millions of people worldwide and is associated with significant morbidity and mortality. Nurses can have a significant role in improving the outcomes of individuals with SCD. This study examined the effectiveness of an educational program on the knowledge and practice of nurses who provide care for individuals with acute sickle cell crisis.

Method:
A pretest–posttest control group design was used. The study was conducted at two hospitals in the northern region of Egypt. The sample included 77 RNs working in hematologic and genetic units. Data were collected using a self-administered knowledge questionnaire and a clinical performance checklist.

Results:
Findings indicated a significant difference in nurses' knowledge and care practices after implementing the educational program.

Conclusion:

This educational program enhanced nurses' knowledge and practice for managing SCD. Training and continuing education programs need to be provided for nurses in hospital settings who provide care for individuals with SCD. Moreover, nursing curricula should reflect the standardized care for individuals with sickle cell crisis.

[
J Contin Educ Nurs.
2019;50(2):87–95.]
Social Support and Mental Health in Patients with Hematological Diseases
Authors: Högberg Karin , Broström Anders 
Published: January 2019

Introduction:
Patients with hematological diseases (HDs) experience a variety of physiological and psychological symptoms. The purpose was to examine how anxiety, depressive symptoms, insomnia, and mastery are associated with perceived social support and mental health in patients with HDs.

Methods:
In this cross-sectional study, a convenience sample of 120 patients with HDs participated at a Swedish University hospital. Anxiety and depressive symptoms were measured by the Hospital Anxiety and Depression Scale. Perceived social support, mental health, insomnia, and mastery were measured using Medical Outcomes Study Social Support Survey, the Mental Component Score from the Short-Form Health Survey-12, and Minimal Insomnia Symptoms Scale and Pearlin Mastery Scale, respectively. Structural equation modeling was performed to analyze the data.

Results:
Associations between depressive symptoms and perceived social support differed depending on the insomnia symptom scores.

Conclusion:
Health-care personnel should routinely assess not only patients' levels of anxiety and depressive symptoms but also their insomnia to identify areas suitable for interventions to improve social support, as well as patient's mental health.
On the Fourier Transformability of Strongly Almost Periodic Measures
Authors: Strungaru Nicolae 
Published: January 2019

AbstractIn this paper we characterize the Fourier transformability of strongly almost periodic measures in terms of an integrability condition for their Fourier–Bohr series. We also provide a necessary and sufficient condition for a strongly almost periodic measure to be the Fourier transform of a measure. We discuss the Fourier transformability of a measure on $\mathbb{R}^{d}$ in terms of its Fourier transform as a tempered distribution. We conclude by looking at a large class of such measures coming from the cut and project formalism.