bluuebunny/crossref_metadata_2025 huggingface dataset:
Prevalence and determinants of Common Mental Disorder among pregnant women In Debre Berhan town: Highland in Central Ethiopia
Authors: Gizachew Kefyalew Dagne , Biks Gashaw Andargie , Wubetu Abate Dargie
Published: May 2020

Introduction: The high prevalence of antenatal mental disorders in Sub-Saharan African countries is poorly understood. Pregnancy and childbirth are gaining recognition as significant risk factors for the development and exacerbation of mental health problems. In low- and lower-middle income countries about one in six pregnant women are experiencing antenatal common mental disorders (CMD). Objective: To assess prevalence and associated factors of common mental disorders (CMD) among pregnant women in Debre Berhan town, North Showa Zone, Amhara region, Ethiopia, 2016. Methods: Community based cross-sectional study was employed among 569 participants. Data was collected using face-to-face interviews with Amharic version of Self Reporting Questionnaire (SRQ-20) from seven selected kebeles. Kebeles were selected by simple random sampling and individuals were selected using cluster sampling. Crude and adjusted OR was analyzed using bivariate and multivariable logistic regression analysis and the level of significance for association was determined with 95% CI and at P- value < 0.05. Result: A total 557 study participants were completed the interview and the prevalence of antenatal common mental disorder was found to be 45.2%. Loss of loved one (AOR = 1.97; 95% CI: 1.19–3.27), history of chronic medical illness (AOR = 6.57; 95% CI: 2.17–19.94), unwanted pregnancy (AOR = 2.13; 95% CI: 1.15–3.95), nulliparity (AOR = 8.71; 95% CI: 1.58–47.94), one or less ANC consultations (AOR = 0.22; 95% CI: 0.08–0.64), two-three ANC consultations (AOR = 0.30; 95% CI: 0.11–0.83) and current obstetric complications (AOR = 4.45; 95% CI: 2.21–8.99) were important factors significantly associated with antenatal common mental disorder. Conclusion: The prevalence of antenatal common mental disorder (CMD) was high in this study that shows antenatal CMD is significant public health issue that requires a great emphasis. So, early screening and intervention for antenatal CMD should be integrated in primary health care and antenatal care service settings.
Causal relationships between genetically determined metabolites and human intelligence: A Mendelian randomization study
Authors: Yang Jian , Zhao Binbin , Qian Li , Gao Fengjie , Fan Yanjuan , He Xiaoyan , Ma Qingyan , Yang Lihong , Yan Bin , Wang Wei , Ma Xiancang
Published: May 2020

Intelligence predicts important life and health outcomes, but the biological mechanisms underlying differences in intelligence are not yet understood. The use of genetically determined metabotypes (GDMs) to understand the role of genetic and environmental factors, and their interactions, in human complex traits has been recently proposed. However, this strategy has not been applied to human intelligence. Here we implemented a two-sample Mendelian randomization (MR) analysis using GDMs to assess the causal relationships between genetically determined metabolites and human intelligence. The standard inverse-variance weighted (IVW) method was used for the primary MR analysis and three additional MR methods (MR-Egger, weighted median, and MR-PRESSO) were used for sensitivity analyses. Using 25 genetic variants as instrumental variables (IVs), our study found that 5-oxoproline was associated with better performance in human intelligence tests (PIVW = 9·25 × 10− 5). The causal relationship was robust when sensitivity analyses were applied (PMR−Egger = 0·0001, PWeighted median = 6·29 × 10− 6, PMR−PRESSO = 0·0007), and no evidence of horizontal pleiotropy was observed. Similarly, also dihomo-linoleate (20:2n6) and p-acetamidophenylglucuronide showed robust association with intelligence. Our study provides novel insight by integrating genomics and metabolomics to estimate causal effects of genetically determined metabolites on human intelligence, which help to understanding of the biological mechanisms related to human intelligence.
Chinese stock market sectoral indices performance in the time of novel coronavirus pandemic
Authors: Liew Venus Khim-Sen , Puah Chin-Hong
Published: May 2020

This paper aims to quantify the effect of the deadly novel coronavirus (COVID-19) pandemic outbreak on Chinese stock market performance. Shanghai Stock Exchange Composite Index and its component sectorial indices are examined in this study. The pandemic is represented by a lockdown dummy, new COVID-19 cases and a dummy for 3 February 2020. First, descriptive analysis is performed on these indices to compare their performances before and during the lockdown period. Next, regression analysis with Exponential Generalized Autoregressive Conditional Heteroscedasticity specification is estimated to quantify the pandemic effect on the Chinese stock market. This paper finds that health care, information technology and telecommunication services sectors were relatively more pandemic-resistant, while other sectors were more severely hurt by the pandemic outbreak. The extent to which each sector was affected by pandemic and sentiments in other financial and commodity markets were reported in details in this paper. The findings of this paper are resourceful for investors to avoid huge loss amid pandemic outburst and the China Securities Regulatory Commission in handling future pandemic occurrence to cool down excessive market sentiments.
Clinical manifestations and perinatal outcomes of pregnant women with COVID-19: a systematic review and meta-analysis
Authors: Yee Jeong , Kim Woorim , Han Ji Min , Yoon Ha Young , Lee Nari , Lee Kyung Eun , Gwak Hye Sun
Published: May 2020

This systematic review and meta-analysis aimed to evaluate the impact of COVID-19 on pregnant women. We searched for qualified studies in PubMed, Embase, and Web of Science. The clinical characteristics of pregnant women with COVID-19 and their infants were reported as means and proportions with 95% confidence interval (CI). Nine studies involving with 93 pregnant women with COVID-19 and 103 infants were included in the meta-analysis. Pregnant women with COVID-19 have relatively mild symptoms. However, abnormal proportions of laboratory parameters were similar or even increased, compared to general population. Around 30% of pregnant women with COVID-19 experienced preterm delivery, whereas the mean birth weight was 3214.7g. Fetal death, severe neonatal asphyxia, and detection of SARS-CoV-2 were observed in about 2%, whereas no neonatal death was found. In conclusion, the current review will serve as an ideal basis for future considerations in the treatment and management of COVID-19 in pregnant women.
The impact of inflation targeting on macroeconomic indicators in Ukraine
Authors: Kuzheliev Mykhailo , Zherlitsyn Dmytro , Rekunenko Ihor , Nechyporenko Alina , Nemsadze Guram
Published: May 2020

The correlation between macroeconomic dynamics and the inflation rate is the subject of many economic studies. The principles of monetary policy are developed in classical economics studies, which are based on the theories of Keynes, Phillips, Campbell, etc. However, classic approaches require practical validation, especially with regard to modern economic trends in times of crisis and emerging economies. Therefore, the purpose of the paper is to investigate and summarize the impact of inflation targeting and other key monetary policy instruments on fundamental economic indicators in Ukraine during periods of stability and crises. An empirical analysis is based on official statistics from Ukraine for 2011–2019. This study uses econometric methods (multivariate regression and simultaneous equation model), which are applied for the general and transmission impact of inflation on the estimation of economic growth. The results prove that inflation does not affect (less than 0.46 linear correlation) fundamental economic indicators during periods of real GDP growth and a quarterly CPI level of less than 2%. On the other hand, there are significant simultaneous regressions (more than 0.8 coefficients of determination) between unemployed, spending on real final consumption, hryvnia exchange rate and monetary policy instruments (discount rate, international reserves, amount of government bonds, M3 monetary aggregate) for periods when the quarterly CPI (consumer price index) is more than 2%. Therefore, the traditional monetary policy implications are discussed for emerging economies.
Formation of Lithuanian manufacturing industry clustering economic preconditions
Authors: Juščius Vytautas , Viederytė Rasa , Laurišonienė Eglė , Sniegowski Maciej
Published: May 2020

The main Lithuanian manufacturing industry clustering preconditions are related to productivity, innovation, and export development. In this research paper, it was found that the strength of cooperative relationships among cluster members, more favorable opportunities to access, and use of infrastructure of business and professional human resources are the major factors to form the preconditions chosen for developing a research model. Four hypotheses have been formulated, which aim to confirm or deny the formation of clustering economic preconditions for productivity, innovation, and export development. Along with the exploratory study, the arisen hypotheses verified that improvement of infrastructure of business and professional human resources and easier access to it for companies have a positive impact on export development. Two other factors – the strength of cooperative relationships and the infrastructure of human resources – are not significant. Cooperation and partnership processes remain undeveloped, as high-quality and full-value formation of the economic preconditions for productivity, innovation, and export development is not ensured properly.
Removal of N, P from seepage and runoff by different vegetated and slope buffer strips
Authors: Wu Jian Q. , Xiong Li J. , Sha Chen Y.
Published: May 2020

The migration of nitrogen (N) and phosphorous (P) from farmland to river not only results in fertilizer inefficiency, but also aggravates water pollution and eutrophication. It is of great significance to construct a reasonable vegetation buffer zone between the river and farmland to protect water quality. By using constructed buffer strips and runoff hydrometric devices, quantitative research was conducted on removal loads of N and P in a field experiment of different vegetated and slope strips. Results showed that removal rates of TN, NH4+-N, and TP by different vegetated strips were 2 ∼ 3 times higher than the control group. The removal ratios of seepage accounted for 73.6%, 66.9%, 73.9% of total seepage and runoff in three vegetated strips, respectively. On the 2% gradient strips with Cynodon dactylon, the removal ratios of TN, NH4+-N, and TP were 36%, 34%, 37%, which were higher than that with 5% gradient, respectively. And removal ratios from the seepage of 2%, 3%, 4%, and 5% gradient strips were 71.66%, 68.14%, 64.39%, and 61.93% of the total, respectively. The conclusion can provide the basis of vegetation and slope optimization for the design and construction of a riparian buffer zone, so as to control non-point source pollution effectively.
Correlates of Physical Activity of Children and Adolescents with Visual Impairments: A Systematic Review
Authors: Li Qi D. , Kuang Xiao M. , Qi Jing
Published: May 2020

Background and Objective:

The benefits of physical activity (PA) for children and adolescents with
disabilities are well documented, and children and adolescents with visual impairments (VI) engage in less PA
than their sighted peers. Two reviews have summarized studies on PA of children and adolescents with VI, but no
systematic review with semi-quantitative assessment has been conducted to specifically identify the correlates of
their PA. This review aims to systematically summarize the existing literature, which investigated the correlates
of PA of children and adolescents with VI until 2019 and identify variables that contribute to their PA participation.

Methods:

A systematic search using Academic Search Premier (ASP), Education Resources Information Center
(ERIC), Education Source (ES), PsycINFO, Psychology and Behavioral Sciences Collection (PBSC), MEDLINE,
Scopus, and Web of Science (WOS) was conducted in September 2019 to identify studies examining the correlates
of PA in children and adolescents with VI aged 5 to 17 years. Two researchers independently screened studies,
assessed their methodological quality and extracted relevant data. The correlates of PA among children and
adolescents with VI were synthesized and further assessed semi-quantitatively.

Results:

A total of 17 articles identified correlates of PA in children and adolescents with VI. Out of 21 variables
identified from the reviewed studies, 3 were consistently associated with PA of children and adolescents with VI.
Body mass index (BMI)/obesity, percent of body fat, and visual impairment level were consistently and negatively
associated with PA of children and adolescents with VI. Gender and age were identified as having inconsistent
relationships with PA in children and adolescents with VI. The level of parental education was identified to
have “no association” with children and adolescents with VI.

Conclusions:

This review can aid in developing effective interventions to improve the PA of children and adolescents
with VI and propose directions for future research.
FLT3 Inhibition in Acute Myeloid Leukaemia – Current Knowledge and Future Prospects
Authors: Hogan Francesca L. , Williams Victoria , Knapper Steven
Published: May 2020

Activating mutations of FMS-like tyrosine kinase 3 (FLT3) are present in 30% of acute
myeloid leukaemia (AML) patients at diagnosis and confer an adverse clinical prognosis. Mutated
FLT3 has emerged as a viable therapeutic target and a number of FLT3-directed tyrosine kinase inhibitors
have progressed through clinical development over the last 10-15 years. The last two years
have seen United States Food and Drug Administration (US FDA) approvals of the multi-kinase inhibitor
midostaurin for newly-diagnosed FLT3-mutated patients, when used in combination with intensive
chemotherapy, and of the more FLT3-selective agent gilteritinib, used as monotherapy, for
patients with relapsed or treatment-refractory FLT3-mutated AML. The ‘second generation’ agents,
quizartinib and crenolanib, are also at advanced stages of clinical development. Significant challenges
remain in negotiating a variety of potential acquired drug resistance mechanisms and in optimizing
sequencing of FLT3 inhibitory drugs with existing and novel treatment approaches in different
clinical settings, including frontline therapy, relapsed/refractory disease, and maintenance treatment.
In this review, the biology of FLT3, the clinical challenge posed by FLT3-mutated AML, the
developmental history of the key FLT3-inhibitory compounds, mechanisms of disease resistance,
and the future outlook for this group of agents, including current and planned clinical trials, is discussed.
QSAR Study of PARP Inhibitors by GA-MLR, GA-SVM and GA-ANN Approaches
Authors: Vahedi Nafiseh , Mohammadhosseini Majid , Nekoei Mehdi
Published: May 2020

Background:

The poly(ADP-ribose) polymerases (PARP) is a nuclear enzyme superfamily
present in eukaryotes.

Methods:

In the present report, some efficient linear and non-linear methods including multiple linear
regression (MLR), support vector machine (SVM) and artificial neural networks (ANN) were successfully
used to develop and establish quantitative structure-activity relationship (QSAR) models
capable of predicting pEC50 values of tetrahydropyridopyridazinone derivatives as effective PARP
inhibitors. Principal component analysis (PCA) was used to a rational division of the whole data set
and selection of the training and test sets. A genetic algorithm (GA) variable selection method was
employed to select the optimal subset of descriptors that have the most significant contributions to
the overall inhibitory activity from the large pool of calculated descriptors.

Results:

The accuracy and predictability of the proposed models were further confirmed using crossvalidation,
validation through an external test set and Y-randomization (chance correlations) approaches.
Moreover, an exhaustive statistical comparison was performed on the outputs of the proposed
models. The results revealed that non-linear modeling approaches, including SVM and ANN
could provide much more prediction capabilities.

Conclusion:

Among the constructed models and in terms of root mean square error of predictions
(RMSEP), cross-validation coefficients (Q2 LOO and Q2 LGO), as well as R2 and F-statistical value for
the training set, the predictive power of the GA-SVM approach was better. However, compared with
MLR and SVM, the statistical parameters for the test set were more proper using the GA-ANN model.
Synthesis and Application of Zwitterionic Magnetic Molecularly Imprinted Polymer for Selective Removal of Fluoroquinolones from Aqueous Solution
Authors: Shao Huikai , Cherif Samar Douh , Wang Jincai , Wang Qiqin , Jiang Zhengjin
Published: May 2020

Background:

Although molecularly imprinted polymers (MIPs) have now been widely utilized for the sample pretreatment, chromatography separation and removal of pollutants, conventional MIPs are still lack of satisfactory compatibility with
water, thus leading to poor molecular recognition for target analytes in aqueous solutions. This aim of study was to prepare the watercompatible MIPs.

Methods:

The zwitterionic MMIPs were synthesized on vinyltrimethoxysilane-coated Fe3O4
(Fe3O4-VTMS) through a surface imprinting process by using levofloxacin (LEV) as a template,
[2-(methacryloyloxy) ethyl] dimethyl-(3-sulfopropyl) ammonium hydroxide (SPE) as a functional
monomer, N, N-methylene-bis-acrylamide (MBA) as a crosslinker and potassium persulfate as an
initiator.

Results:

The prepared zwitterionic LEV-MMIPs were characterized by Fourier transform infrared
spectrometry, X-ray diffraction, vibrating sample magnetometry, scanning electron microscopy and
water contact angle test. The characterization results showed that zwitterionic LEV-MMIPs exhibited
good magnetic responsiveness and super-hydrophilicity (the contact angle is 0°). The optimum pH
for binding LEV was found to be 6.0 and the binding isotherm followed the Langmuir isotherm
model of monolayer adsorption. The binding process was very fast and the pseudo-second-order
model fitted well with the kinetic data. The adsorption capacity of these zwitterionic MMIPs was
54.30 mg g-1 with a selectivity factor of 1.6 compared to the magnetic non-imprinted polymers
(MNIPs). Their feasibility for removing fluoroquinolones (FQs) from the environmental sample was
demonstrated using pearl river water spiked with LEV, gatifloxacin, ciprofloxacin and lomefloxacin.
The zwitterionic LEV-MMIPs could be reused at least five times with a removal efficiency of more
than 80% for the selected FQs.

Conclusion:

The prepared zwitterionic LEV-MMIP is a promising sorbent for rapid, selective and efficient removal of fluoroquinolones from aqueous medium.
Simultaneous Detection of Dopamine and Serotonin in Real Complex Matrices
Authors: Truţă Florina , Tertis Mihaela , Cristea Cecilia , Graur Florin
Published: May 2020

Background:

Neurotransmitters are chemical messengers with crucial implication in the
human body. Perturbations in the concentration of neurotransmitters can affect a multitude of mental
and physical functions such as heart rate, sleep, appetite and mood. Thus, the sensitive detection of
these compounds is a real need for a new generation of treatments.

Methods:

Simultaneous detection of two important neurotransmitters, namely dopamine and serotonin,
was investigated in this study using differential pulse voltammetry. The optimization of several
surface parameters was performed in order to choose the best electrode material for electrochemical
oxidation of targets. Screen-printed electrodes based on carbon, gold and platinum and modified with
different nanomaterials (carbon nanotubes, gold nanoparticles and carbon nanotubes decorated with
gold nanoparticles) were tested.

Results:

Carbon-based electrodes modified with multiwall carbon nanotubes and gold nanoparticles
were chosen after the optimization protocol. Linear correlations between the analytic signals obtained
and the concentration of dopamine and serotonin, respectively were obtained with good sensitivity
and the detection limits were 0.3 μM for dopamine and 0.8 μM for serotonin with no significant reciprocal
influences. Selectivity studies were also performed, as well as tests in real samples (e.g.,
human serum, tears and saliva) complex matrices for which acceptable recoveries were obtained.

Conclusion:

The results obtained in this study can be considered as an important starting point for
the development of a fast and simple method for selective and highly sensitive detection of neurotransmitters,
with possible applications in the diagnosis of different pathologies and for monitoring
the effectiveness of the applied drug treatment.
Interlink Between Insulin Resistance and Neurodegeneration with an Update on Current Therapeutic Approaches
Authors: Bhattamisra Subrat Kumar , Shin Lee Yuen , Saad Hanis Izzati Binti Mohd , Rao Vikram , Candasamy Mayuren , Pandey Manisha , Choudhury Hira
Published: May 2020

The interlink between diabetes mellitus and neurodegenerative diseases such as Alzheimer’s
Disease (AD) and Parkinson’s Disease (PD) has been identified by several researchers. Patients
with Type-2 Diabetes Mellitus (T2DM) are found to be affected with cognitive impairments
leading to learning and memory deficit, while patients with Type-1 Diabetes Mellitus (T1DM) showed
less severe levels of these impairments in the brain. This review aimed to discuss the connection between
insulin with the pathophysiology of neurodegenerative diseases (AD and PD) and the current
therapeutic approached mediated through insulin for management of neurodegenerative diseases. An
extensive literature search was conducted using keywords “insulin”; “insulin resistance”; “Alzheimer’s
disease”; “Parkinson’s disease” in public domains of Google scholar, PubMed, and ScienceDirect.
Selected articles were used to construct this review. Studies have shown that impaired insulin
signaling contributes to the accumulation of amyloid-β, neurofibrillary tangles, tau proteins and
α-synuclein in the brain. Whereas, improvement in insulin signaling slows down the progression of
cognitive decline. Various therapeutic approaches for altering the insulin function in the brain have
been researched. Besides intranasal insulin, other therapeutics like PPAR-γ agonists, neurotrophins,
stem cell therapy and insulin-like growth factor-1 are under investigation. Research has shown that insulin
insensitivity in T2DM leads to neurodegeneration through mechanisms involving a variety of extracellular,
membrane receptor, and intracellular signaling pathway disruptions. Some therapeutics,
such as intranasal administration of insulin and neuroactive substances have shown promise but face
problems related to genetic background, accessibility to the brain, and invasiveness of the procedures.
“Fostering” Effective Foster Parent Training Programs : Parent-Child Interaction Therapy Adaptations for the Child Welfare Setting
Authors: Han Robin C. , Owen Christopher K. , Lieneman Corey C. , McNeil Cheryl B.
Published: May 2020

Foster parents face considerable challenges in caring for children in the child welfare system, many of whom have significant behavioral difficulties [1]. Foster parents often lack the training and support needed to manage these externalizing behaviors, which contribute to parenting stress and are highly predictive of placement breakdowns [2, 3]. Although child welfare agencies provide foster parents with pre-service training experiences, they often lack the capacity and financial resources to implement gold standard, evidence-based interventions that address child behavior difficulties. Parent-Child Interaction Therapy (PCIT) has been well-established as an empirically supported treatment for disruptive behavior, yet standard delivery of PCIT to children in the foster care system is often impractical due to time, financial, childcare, and personnel constraints. Adaptations of PCIT for the foster care setting may remove some of these barriers to treatment. These adaptations have typically retained the parent-coaching principles inherent to PCIT but replaced the traditional 12- to 20-week format with a shorter, less intensive treatment regimen in order to maintain feasibility within the child welfare context. Preliminary findings from studies using abbreviated formats of PCIT suggest effectiveness of such adaptations in reducing externalizing behavior in foster children and maintaining behavioral improvements several months after the end of the treatment.
De Belgische orangistische adel, deel II. De rol van de adel in het Belgisch orangisme (1830-1850)
Authors: Witte Els
Published: May 2020

When William I of Orange-Nassau became King of the Netherlands (1814-1815), he was fully aware of the influence of the rich, landowning aristocracy in the southern part of the Netherlands and tried hard to have this group on his side. A minority was opposed to the King’s politics, which favoured a more secular society. The majority appreciated that he privileged the aristocracy at his court and gave it considerable influence in the political and administrative elite. Whereas noble opponents joined the Belgian revolution of 1830, loyalists remained faithful to the King and became members of the counter-revolutionary Orangist movement. Some only sympathized, but others were very active members as leaders of brigades or belonging to the core of the movement. In 1839 the Treaty of the 24 Articles was signed by Belgium and the Netherlands. A number of Orangist aristocrats, then, left the movement. Others persisted and waited until the end of the 1840s, when the political movement was neutralized and only a nostalgic cult in remembrance of the lost kingdom survived in some aristocratic families.
Digital Gamification to Enhance Vaccine Knowledge and Uptake: Scoping Review (Preprint)
Authors: Montagni Ilaria , Mabchour Inass , Tzourio Christophe
Published: May 2020

BACKGROUND

Vaccine hesitancy is a growing threat to population health, and effective interventions are needed to reduce its frequency. Digital gamification is a promising new approach to tackle this public health issue.

OBJECTIVE

The purpose of this scoping review was to assess the amount and quality of outcomes in studies evaluating gamified digital tools created to increase vaccine knowledge and uptake.

METHODS

We searched for peer-reviewed articles published between July 2009 and August 2019 in PubMed, Google Scholar, Journal of Medical Internet Research, PsycINFO, PsycARTICLES, Psychology and Behavioral Sciences Collection, and SocINDEX. Studies were coded by author, year of publication, country, journal, research design, sample size and characteristics, type of vaccine, theory used, game content, game modality, gamification element(s), data analysis, type of outcomes, and mean quality score. Outcomes were synthesized through the textual narrative synthesis method.

RESULTS

A total of 7 articles met the inclusion criteria and were critically reviewed. Game modalities and gamification elements were diverse, but role play and a reward system were present in all studies. These articles included a mixture of randomized controlled trials, quasi-experimental studies, and studies comprising quantitative and qualitative measures. The majority of the studies were theory-driven. All the identified gamified digital tools were highly appreciated for their usability and were effective in increasing awareness of vaccine benefits and motivation for vaccine uptake.

CONCLUSIONS

Despite the relative paucity of studies on this topic, this scoping review suggests that digital gamification has strong potential for increasing vaccination knowledge and, eventually, vaccination coverage.
Local hospital experience of emergency management in the response to SARS (Preprint)
Authors: Yan Ying
Published: May 2020

UNSTRUCTURED

The ongoing outbreak of SARS-CoV-2 infection was first identified in Wuhan, China at the late of 2019. Following the acceleration of the novel coronavirus spreading, person-person transmissions in family residences, hospitals and other public environments have led to a major public hazard in China. Currently, the SARS-CoV-2 outbreak has been further developed into a public health emergency of international concern. In response to an occurring pandemic, hospitals need an emergency strategy and plan to manage their space, staff, and other essential resources, therefore, to provide optimum care to patients involved. In addition, infection prevention measures urgently need to be implemented to reduce in-hospital transmission and avoid the occurrence of virus super-spreading. For hospitals without capacity to manage severe patients, a referral network is often needed. We present our successful field experience regarding hospital emergency management and local hospitals network model in response to SARS-CoV-2 emerging epidemic.
Utilization Barriers and Medical Outcomes Commensurate With the Use of Telehealth Among Older Adults: Systematic Review (Preprint)
Authors: Kruse Clemens , Fohn Joanna , Wilson Nakia , Nunez Patlan Evangelina , Zipp Stephanie , Mileski Michael
Published: May 2020

BACKGROUND

Rising telehealth capabilities and improving access to older adults can aid in improving health outcomes and quality of life indicators. Telehealth is not being used ubiquitously at present.

OBJECTIVE

This review aimed to identify the barriers that prevent ubiquitous use of telehealth and the ways in which telehealth improves health outcomes and quality of life indicators for older adults.

METHODS

This systematic review was conducted and reported in accordance with the Kruse protocol and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Reviewers queried the following four research databases: Cumulative Index of Nursing and Allied Health Literature (CINAHL), PubMed (MEDLINE), Web of Science, and Embase (Science Direct). Reviewers analyzed 57 articles, performed a narrative analysis to identify themes, and identified barriers and reports of health outcomes and quality of life indicators found in the literature.

RESULTS

Reviewers analyzed 57 studies across the following five interventions of telehealth: eHealth, mobile health (mHealth), telemonitoring, telecare (phone), and telehealth video calls, with a Cohen κ of 0.75. Reviewers identified 14 themes for barriers. The most common of which were technical literacy (25/144 occurrences, 17%), lack of desire (19/144 occurrences, 13%), and cost (11/144 occurrences, 8%). Reviewers identified 13 medical outcomes associated with telehealth interventions. The most common of which were decrease in psychological stress (21/118 occurrences, 18%), increase in autonomy (18/118 occurrences, 15%), and increase in cognitive ability (11/118 occurrences, 9%). Some articles did not report medical outcomes (18/57, 32%) and some did not report barriers (19/57, 33%).

CONCLUSIONS

The literature suggests that the elimination of barriers could increase the prevalence of telehealth use by older adults. By increasing use of telehealth, proximity to care is no longer an issue for access, and thereby care can reach populations with chronic conditions and mobility restrictions. Future research should be conducted on methods for personalizing telehealth in older adults before implementation.

CLINICALTRIAL

PROSPERO CRD42020182162; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020182162.

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/15490
What have we investigated from SARS to now the COVID-19: A bibliometric analysis (Preprint)
Authors: Yu Jiali , Li Zhongpeng , Yu Fuxun , Zha Yan
Published: May 2020

UNSTRUCTURED

Introduction: The emergence of coronaviruses, including SRAS-CoV and SARS-CoV-2, is thought to be a pandemic threat to human beings and has aroused considerable academic concern worldwide. The aim of this study was to map research productivity and explore the characteristics of global literatures from SARS to the emerging COVID-19. Methods: Thomson Reuters Web of Science was searched to retrieve 12632 articles related to coronavirus between 1991 and 2020, 2701 articles concerning SARS dated from 2002 to 2020 March, 566 articles corresponded to COVID-19 published by 2020 March. The parameters using VOSviewer and CiteSpaceV. Results: In SARS research field, the most prolific country was China (1115 articles; 41.2%), followed by USA (816; 30.2%). The top 3 most published institutes were University of Hong Kong, Chinese Academy of Sciences, Chinese University of Hong Kong. The authors with greatest numbers of publications was Yuen KY (78 articles), followed by Peiris JSM (73 articles) and Chan PKS (65 articles). “identification”, “infection”, “outbreak” and “spike protein” were found to be among the most frequently used topics. While articles relevant to COVID-19 were most published in China (43.29%) and USA (17.67%), with Fudan University being the most productive (4.06%). LANCET was the most exploited journal (IF 59.102). Besides, the most highly cited publications and co-citation reference were also unmasked from this bibliometric analysis. Conclusions: The findings will provide valuable information for current researchers to learn from the study experience and find effective strategies for COVID-19 control as soon as possible.
Pertumbuhan dan Hasil Jagung (Zea mays  L.) pada Pola Tanam Satu Lubang dengan Kedelai (Glycine max (L.) Merrill)
Authors: Nurhanafi Amal Wira , Indradewa Didik , Rogomulyo Rohlan
Published: May 2020

Jagung masih merupakan bahan pangan pokok di beberapa bagian Indonesia, antara laindi Nusa Tenggara Timur (NTT). Di NTT jagung dibudidayakan dengan cara spesifik lokasiyaitu ditanam dalam satu lubang dengan berbagai jenis tanaman lain misalnya kedelaidengan jumlah benih berbeda-beda. Penelitian ini bertujuan untuk mengetahui pengaruhkultivar dan jumlah benih kedelai yang ditanam dalam satu lubang terhadap pertumbuhandan hasil jagung dan kultivar apa dan jumlah benih per lubang berapa yang dapat meningkatkan hasil jagung paling tinggi. Penelitian menggunakan jenis jagung hibridavarietas BISI 2 dan sembilan varietas kedelai unggul yaitu Anjasmara, Burangrang, Gema,Gepak Kuning, Grobogan, Kaba, Panderman, Sinabung dan Wilis. Penelitian ini telahdilaksanakan di Kebun Tridharma, Fakultas Pertanian, Universitas Gadjah Mada,Banguntapan, Bantul, Yogyakarta mulai bulan Agustus – November 2015. Penelitiandirancang menggunakan Rancangan Acak Lengkap (RAL) dengan dua faktor dan tigaulangan. Perlakuan yang digunakan terdiri dari satu kedelai dengan satu jagung, duakedelai dengan satu jagung, tiga kedelai dengan satu jagung dan empat kedelai dengansatu jagung dan monakultur jagung. Data yang diperoleh dari hasil pengamatan dianalisisdengan menggunakan analisis varian (ANOVA) dengan tingkat kepercayaan 95%.Kemudian dilakukan uji lanjut yaitu Uji Jarak Berganda Duncan dan Uji Lanjut KontrasOrtoganal taraf 5%. Berdasarkan hasil penelitian dapat disimpulkan bahwa kedelaimemberikan pengaruh terhadap pertumbuhan dan hasil tanaman jagung. Kedelai kultivarGema, Gepak Kuning, Kaba dan Sinabung meningkatkan hasil jagung, kultivar Anjasmara,Grobogan, Burangrang dan Wilis mempengaruhi hasil jagung namun tidak konsisten dankultivar Panderman menurunkan hasil tanaman jagung.
Keragaan Sepuluh Kultivar Padi Lokal (Oryza sativa L.) Daerah Istimewa Yogyakarta
Authors: Suryanugraha Whisnu Agung , Supriyanta Supriyanta , Kristamtini Kristamtini
Published: May 2020

Penanaman padi varietas unggul mengakibatkan keanekaragaman padi lokal menurunsecara drastis bahkan punah. Kehilangan sumber daya genetik merupakan kehilanganyang tidak ternilai harganya. Oleh karena itu, penelitian ini bertujuan untuk mengetahuikeragaan karakter agronomi sepuluh kultivar padi lokal (Oryza sativa L.). Sepuluhkultivar padi lokal ditanam di di dusun Timur, Selomartani, Kalasan, Yogyakarta padaDesember 2016 hingga Maret 2017 dengan Rancangan Acak Kelompok Lengkap(RAKL) dengan ulangan sebanyak tiga. Sepuluh kultivar lokal tersebut berasal dariberbagai daerah di Yogyakarta yaitu Mentik putih, Mentik susu, Sri kuning, Pandan wangi, Cempo putih, Kenanga, Gading Melati, Pangestu, Similikiti, dan Menorehbercak ungu. Penanaman dilakukan dengan membuat petak berukuran 4×4 m yangditanam secara jajar legowo 2:1, jumlah tanaman 2 rumpun per lubang, umur bibit 15hari. Analisis varians dilakukan untuk variabel kuantitatif dengan taraf kepercayaan 5%.Jika terdapat signifikansi, dilanjutkan dengan uji HSD Tukey. Kultivar mentik susu dankenanga adalah kultivar yang termasuk dalan kelompok padi sedang dengan umurpanen 120–150 HSS. Sedangkan, delapan kultivar lain termasuk dalam padi berumurgenjah. Kultivar Mentik susu dan Kenanga juga merupakan kultivar yang memiliki umurberbunga paling lama yaitu 100 HSS dan 95 HSS. Kultivar Sri kuning memiliki hasilproduksi aktual paling tinggi dengan 6,28 ton/ha. Di sisi lain, kultivar Mentik susumenjadi yang paling rendah denga 2,18 ton/ha. Analisis korelasi antar karaktermenunjukan karakter jumlah gabah isi per malai, jumlah gabah total per malai, bobot100 butir, dan kepadatan malai memiliki korelasi positif yang kuat terhadap hasilproduksi aktual. Umur berbunga dan umur panen merupakan karakter yang memilikikorelasi negatif paling besar terhadap hasil produksi aktual.
Pengaruh Cekaman Kekeringan Terhadap Hasil dan Komponen Hasil Lima Kultivar Kedelai (Glycine max L.)
Authors: Heriyanto Nicki , Rogomulyo Rohlan , Indradewa Didik
Published: May 2020

Penelitian dilakukan di rumah plastik di Kebun Tridharma Banguntapan, Fakultas Pertanian, Universitas Gadjah Mada, Yogyakarta dari bulan April-Juli 2018. Rancangan lingkungan yang dipakai adalah petak terbagi (split plot) faktorial 5x2 dengan tiga ulangan. Petak utama adalah pengairan yang terdiri dari dua aras yaitu disiram sehari sekali dan disiram tujuh hari sekali. Anak petak adalah kultivar kedelai yaitu kultivar Demas 1, Devon 1, Dering 1, Anjasmoro dan Burangrang. Analisis data menggunakan uji lanjut Beda Nyata Jujur (BNJ) Tukey. Penentuan kultivar tahan kekeringan menggunakan indeks ketahanan kekeringan yaitu Indeks Toleransi Cekaman (ITC). Cekaman kekeringan menyebabkan hampir semua variabel komponen hasil mengalami penurunan seperti jumlah polong, jumlah biji per polong, dan bobot total biji dengan rerata masing-masing penurunan sebesar 39%, 2,73%, dan 52%. Berdasarkan indeks toleransi cekaman diperoleh informasi bahwa kultivar Demas 1 lebih tahan terhadap cekaman kekeringan dibandingkan dengan kultivar Devon 1, Dering 1, Burangrang dan kultivar Anjasmoro.
Using AR-technology for mastering hieroglyphics as an approach to informatization of learning Chinese language in school
Authors: Grinshkun Vadim V. , Grigorieva Anna S.
Published: May 2020

Problem and goal. Methods are proposed for solving the problem of searching for information technologies, which, due to new approaches to information visualization, can increase the efficiency of students mastering hieroglyphics - one of the main and most difficult to study components of Chinese language learning systems. As a way to solve this problem, the application of augmented reality technology can be proposed, provided that the means and forms of its effective use are found in the framework of teaching the Chinese language in school. The aim of the study described in the article was the development and experimental confirmation of the effectiveness of approaches to teaching students in school hieroglyphic writing and the semantic interpretation of hieroglyphs based on the use of augmented reality tools. Methodology. A practical study was carried out on the basis of the formation of the experimental (63 people) and control (71 people) groups of students in grades 5 and 6. Schoolchildren of the experimental group were trained using augmented reality tools, hieroglyph markers, a specially selected collection of 3D models and developed tasks for comparing hieroglyphs and their semantic meanings, searching for hieroglyphics by their meanings, developing 3D models for visualizing the meanings of hieroglyphs. The analysis of the level of lexical skills of schoolchildren in terms of comparing hieroglyphs and their semantic values was carried out using integral indicators using methods of mathematical statistics. Results. It is shown that the proposed approach to using augmented reality technologies in the framework of teaching the Chinese language at school is effective. It is justified to create and develop collections of electronic versions of hieroglyphs and virtual objects that reflect the meaning of the main hieroglyphs studied at school. An effective method is when the students themselves are involved in such developments. Such approaches can play a significant role in informatization of educational systems for schoolchildren, as well as in establishing additional interdisciplinary ties. Conclusion. The effectiveness of the proposed approaches to the development of systems for preparing schoolchildren to study hieroglyphics in the framework of teaching the Chinese language based on the use of augmented reality technology has been experimentally confirmed. During the study, schoolchildren of the 5th and 6th grades showed an increased level of lexical skills in terms of comparing hieroglyphs and their semantic meanings, searching and writing hieroglyphs for a given semantic value.
Great Patriotic War in School Literature: Features of Political Socialization of Students
Authors: Kuznetsov Igor I.
Published: May 2020

The author of article reviews relevant setbacks of modern school education. Russian youth faces a «dissolution of history» due to gaps in school subjects, where historical events and individuals are losing their significance, but which was mentioned in soviet school program. Author underlines that new studying courses limit the list of authors and their works, which truly reflect a picture of Great Patriotic War. Moreover, digital technologies are filling up kids and youth’s spare time, that is why historical and fictional works are being replaced away. The author of article focuses on Russian and foreign contemporary movies as well, which have played its role in creating “historical content” in knowledge of youth. Nowadays, modern movies are replacing wartime and historical literature because of its interactive and dramatic form of impact, and for some time its fake facts, which are more acceptable for screenplays and have more commercial success. Author concludes that modern school program is needed to be corrected. These new corrections must include creating of new culture of reading, socialization of youth and popularization of reading.
Values of a Successful Person: a Postmodern Education in a Post-Industrial Society
Authors: Antyukhova Ekaterina A.
Published: May 2020

This article is devoted to the role of education in forming a successful personal development trajectory through a value system. Study shows that modern era can be described by categories of two concepts that are similar in essence and contradictory in certain manifestations: postmodernism and postindustrialism. Article hypothesizes that a postmodern value system is necessary to overcome digital destructive influence on education that is imposed by the information and digital priorities of postindustrialism. It shows that, with the universal digitization of knowledge, there is an urgent need to form three primary competencies of individual that can be provided only by education: values, communications, and knowledge, that are not subject to digital replication. It argues that growing trend of turning universities into digital corporations contains threats to the future development of the emerging personality and its value system. Article concludes that it is possible to overcome the identified threats in implementation of global educational policy, at national and global levels, which will require a critical understanding of emerging trends in digital world.
Simulation of non-stationary event flow with a nested stationary component
Authors: Pleshakov Ruslan V.
Published: May 2020

A method for constructing an ensemble of time series trajectories with a nonstationary flow of events and a non-stationary empirical distribution of the values of the observed random variable is described. We consider a special model that is similar in properties to some real processes, such as changes in the price of a financial instrument on the exchange. It is assumed that a random process is represented as an attachment of two processes - stationary and non-stationary. That is, the length of a series of elements in the sequence of the most likely event (the most likely price change in the sequence of transactions) forms a non-stationary time series, and the length of a series of other events is a stationary random process. It is considered that the flow of events is non-stationary Poisson process. A software package that solves the problem of modeling an ensemble of trajectories of an observed random variable is described. Both the values of a random variable and the time of occurrence of the event are modeled. An example of practical application of the model is given.
Two-way communication retrial queue with unreliable server and multiple types of outgoing calls
Authors: Nazarov Anatoly A. , Paul Svetlana V. , Lizyura Olga D.
Published: May 2020

Retrial queue under consideration is the model of call center operator switching between input and outgoing calls. Incoming calls form a Poisson point process. Upon arrival, an incoming call occupies the server for an exponentially distributed service time if the server is idle. If the server if busy, an incoming call joins the orbit to make a delay before the next attempt to take the server. The probability distribution of the length of delay is an exponential distribution. Otherwise, the server makes outgoing calls in its idle time. There are multiple types of outgoing calls in the system. Outgoing call rates are different for each type of outgoing call. Durations of different types of outgoing calls follow distinct exponential distributions. Unsteadiness is that the server crashes after an exponentially distributed time and needs recovery. The rates of breakdowns and restorations are different and depend on server state. Our contribution is to obtain the probability distribution of the number of calls in the orbit under high rate of making outgoing calls limit condition. Based on the obtained asymptotics, we have built the approximations of the probability distribution of the number of calls in the orbit.