bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical analysis of the behavior of light concrete panels with variations of thickness and door opening position in resisting static monotonic loads
Authors: Agustina Annisa Fitria , . Saloma , Nurjannah Siti Aisyah , Usman Arie Putra , . Hanafiah
Published: December 2020

This study covered numerical analysis models of lightweight concrete panels with a variety of thicknesses and door opening positions. The objective of this study was to determine the influence of the dimension of lightweight concrete nonstructural panels with door openings in resisting static lateral loads. The lightweight concrete became generally used since its’ effectiveness in reducing gravity loads. Therefore, the lateral deformation of buildings due to the earthquake became smaller. However, the behavior of the lightweight concrete panels as non-structural elements still needed to be explored, especially under influence of structural elements when an earthquake occurred. There were three variations of the door opening positions on the panels. The varied thicknesses were 40 mm, 50 mm, and 60 mm with and without the addition of wire mesh reinforcement. The panels were subjected to increased static monotonic loads until the panels were collapsed. The analysis results were the relation curves of loads and deformations, and the shapes of deformation that occurred on each model. The analysis results of each panel showed different behaviors and values. In general, the variation of thickness resulted in the conclusion that the thickest panels were able to resist higher loads. The use of wire mesh affected significantly panel behavior. The panels with wire mesh became more rigid so that the resisted loads were higher, but the deformation became smaller, and vice versa while the panel without a wire mesh resisted lower loads but the deformation became larger.
Composition of algae in the Middle-Upper carboniferous skeletal mounds on the Shchuger river
Authors:   Institute of Geology FRC Komi SC UB RAS, Matveeva N. A.
Published: December 2020

Lithological-paleoecological study of the Mid–Upper Carboniferous reef limestones from the section «Verkhnie Vorota» on the Shchuger River revealed the complex of green phylloid algae Ivanovia tenuissima Khvorova, Eugonophyllum konishi Kulik, Anchicodium gracile Johnson, which are directly involved in the construction of buildup frameworks. Problematic Tubiphytes, rare cyanobacteria Bevocastria sp., dasiclads Clavaporella sp., Pseudoepimastopora cf. likana (Kochansky et Herak), Pseudoepimastopora sp., Asphaltinella cf. horowizi Mamet et Roux, phylloid Neoanchicodium sp. and red Ungdarella uralica Maslov, Komia sp., Flugelia johnsoni (Flugel) algae were associated with them. The revealed algal complex indicates the existence of a shallow warm sea with good bottom illumination and weak water movement.
Validação de tecnologias educacionais: estudo bibliométrico em teses e dissertações de enfermagem
Authors: Cassiano Alexandra do Nascimento , Silva Carlos Jordão De Assis , Nogueira Isadora Lorenna Alves , Elias Tatiane Maria Nóbrega , Texeira Elizabethe , Menezes Rejane Maria Paiva De
Published: December 2020

Objetivo: Analisar as estratégias metodológicas utilizadas para a validação de tecnologias educacionais em teses e dissertações de

enfermagem no Brasil. Método: Trata-se de um estudo documental bibliométrico. A busca foi realizada no catálogo de Teses e Dissertações

da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior. O mapeamento considerou o perfil das produções e das tecnologias

educacionais, as estratégias de validação e a aplicação da lei de Zipt. A análise foi realizada com o Statistical Package for the Social Sciences

21.0 e o IRaMuTeQ 0.7 alpha 2. Resultados: Obtiveram-se 156 produções. O perfil das produções foi de dissertações de mestrado acadêmico, consideradas estudos metodológicos, estando a maioria desenvolvida na região Nordeste do País. As tecnologias educacionais

corresponderam a materiais impressos ou audiovisuais, direcionados à comunidade e à área de enfermagem médico-cirúrgica. O processo

de validação ocorreu, em sua maioria por concordância, com participação de juízes especialistas e da população-alvo, com uso de instrumentos validados e aplicação do Índice de Validação de Conteúdo. A partir da aplicação da Lei de Zipt, destacaram-se validação, juiz e estudo metodológico. Conclusão: O mapeamento propiciou a visibilidade da produção científica, indicando um conhecimento com distribuição desigual no que tange à região onde se produz tal capital intelectual.
O impacto da pandemia do novo coronavírus na qualidade de vida de estudantes de enfermagem
Authors: Ramos Tangriane Hainiski , Pedrolo Edivane , Santana Leni De Lima , Ziesemer Nadine De Biagi Souza , Haeffner Rafael , Carvalho Telma Pelaes de
Published: December 2020

Objetivo: Identificar o impacto da pandemia do coronavírus SARS-CoV2, na qualidade de vida de estudantes do curso técnico em enfermagem, quanto ao período de suspensão do calendário acadêmico. Método: Estudo transversal desenvolvido mediante formulário on-line, com alunos de uma instituição pública. Utilizou-se questionário composto por questões sociodemográficas e pelo The World Health Organization Quality of Life (WHOQOL-bref). Resultados: Foram incluídos 55 participantes. 63,6% avaliaram sua qualidade de vida como boa e 47,3% estão satisfeitos com sua saúde. Na estratificação dos domínios do WHOQOL-bref, o “Físico” obteve o maior escore, 67,9%, enquanto o “Psicológico” teve o menor escore, 58,2%. O domínio “Psicológico” foi afetado significativamente pela situação conjugal (p = 0,0344), trabalho (p = 0,0392) e sustento da casa (p = 0,0196). Já a situação conjugal (p = 0,0025) e os filhos (p = 0,0212) tiveram relação significativa com a autoavaliação da qualidade de vida. Conclusão: Identificou-se que as variáveis relacionadas à situação conjugal, filhos, trabalho e sustento da casa alteram de forma significativa a qualidade de vida, durante a pandemia, dos estudantes investigados. Verificou-se também que, apesar da autoavaliação quanto à qualidade de vida e saúde serem boas, a dimensão psicológica é a mais afetada.
Russian youth about the Great Patriotic War and family as spiritual imperatives of Russian civil society
Authors: Berdnik Lyudmila P. , Ikingrin Elena N.
Published: December 2020

The article deals with the problems of reproduction of social memory and the mechanism of continuity of spiritual and moral values in the context of everyday family relations “parents-children”. The article analyzes the influence of professional, age, gender and territorial characteristics of young people on their Patriotic attitudes. The authors believe that the permanent Patriotic memory of young people about the second world war can serve as a long-term spiritual brand of Russian society.
Psychological factors of international migration in Eurasia
Authors: Stavropolsky Julius V.
Published: December 2020

Migrants characterized by a strong ethnic and national profile, measured through language preferences, their strength of orientation to their own ethnic or national group, as a rule, manifest low psychological, but the better socio-cultural results, because they have a deep understanding of their socio-cultural history, as well as build developed relationships in a broad socio-cultural context.
Implementasi Pendekatan 4P Dalam Pembelajaran Pendidikan Islam Kreatif
Authors: Hanip Sepma Pulthinka Nur
Published: December 2020

This study aims to provide an insight into how the implementation of the 4P approach relies on psychological theory as an effort to develop talent and creativity in Islamic education in order to produce creative students. The focus of the 4P approach is applied in learning in the form of personal, motivational, process, and product as a basic foothold aimed at training and developing talent and creative power. In the perspective of Islamic education, humans are the most perfect creation of Allah. So the teacher is a guide, motivator, and controller in learning and the ultimate goal of Islamic education is our human beings. For this reason, creating a perfect human being must begin by developing his talents and creativity to become creative people using one of the 4P approaches.
The relationship between sosiodemographic factors and public knowledge of herbal medicines in two districts in Sleman Regency
Authors: Medisa Dian , Tamhid Hady , Litapriani Putri
Published: December 2020

Introduction: The use of herbal medicines in the community is increasing, both in developing and developed countries.. Most people use herbal medicine for generations or based on experience. Therefore, it is necessary to analyze the public knowledge about herbal medicine to support the use of herbal medicines appropriately and correctly Objective : To determine the relationship between sociodemographic characteristic with public knowledge level about herbal medicine in Sleman Regency. Methods: Survey research conducted on the people of Minggir and Cangkringan districts, Sleman Regency. Sampling of 240 respondents was done by cluster sampling method. Data obtained from the distribution of questionnaires that have been validated to the public. The correct answer was counted and scored, then responden who score greater or equal to the mean were grouped into good knowledge, whereas those who score less than mean were grouped into poor knowledge. Data were analyzed by univariate and bivariate by chi-square test. Result : The majority of respondents were women (61.2%) and the most age was 26-45 years (46.7%). The respondents' knowledge is the best in the domain of how to use herbal medicine with an average percentage of correct answers 67.6%. In the domain of side effects, the average percentage of answers is only 47.7%. Overall respondents who had a good level of knowledge were 66.2% and respondents who were poorly knowledgeable were 33.8%. The results of the bivariate analysis showed no correlation between sociodemographic characteristics and knowledge level about herbal medicine (p> 0.05). Conclusion: Most people in Sleman Regency have good knowledge about herbal medicine. However, education still needs to be done about herbal medicines, especially the efficacy and side effects.
Standardization parameters for cocoa pods (Theobroma cacao L.)
Authors: Azah Nida Isti , Muchtarichie Resmi , Iskandar Yoppi
Published: December 2020

Background: Cocoa (Theobroma cacao L.) pods are a waste from chocolate production which has medicinal benefits. Cocoa pods have scientifically proved to have pharmacological activities. Objective: Standardization of plants to be used as medicine is required to control the quality and ensure the safety, efficacy, and quality. Methods: Data on the standardization parameters of cocoa pods were collected from journals published during the period 2010-2020 by searching in Google, Google Scholar, and Research Gate. Results: Standardization parameters of cocoa pods consisted of macroscopic and microscopic examinations, ash content, solute concentration in solvents, phytochemical screening, and thin layer chromatography. Conclusion: Macroscopic examination showed that the skin of cacao fruit has a brownish-yellow color and purplish red, a specific odor, and a bitter taste with four forms, namely amelonado, angoleta, cundeamor, and calabacil. Microscopic examination showed a collection of stone cells and hair covering. The moisture content of cocoa pods fulfills the requirement which is below 10%. The total ash content is 5.80 - 7.41, and the acid-insoluble ash content is 0.45 - 0.64. The concentration of solute in water is higher than in ethanol with 22.69 and 5.21, respectively. The phytochemical screening showed that cocoa pods have flavonoids, saponins, quinones, tannins, steroids, triterpenoids, monoterpenes, and sesquiterpenes. The thin-layer chromatography indicated the presence of phenolic compounds, catechol tannins, flavonoids, and terpenoids. Keywords: Cocoa pods, standardization, Theobroma cacao
On a variant of Newton-Coulomb's law
Authors: Haraux Alain
Published: December 2020

A variant of the usual formulas for gravitational and electrostatic fields, differing from those by a logarithmic term, is introduced in order to solve some questions connected with a possible atomic contraction phenomenon at large time scale and the so-called hidden mass problem in cosmology. This approach is conceptuallly related to the MOND theory of M. Milgrom but allows a reversal of attracting forces when the distance becomes very small. The asymptotic behavior of solutions of a related dissipative ODE is studied, we obtain that all bounded trajectories converge to a point where the field vanishes.
A Thermal-Hydraulic Model for the Stagnation of Solar Thermal Systems with Flat-Plate Collector Arrays
Authors: Eismann Ralph , Hummel Sebastian , Giovannetti Federico
Published: December 2020

Stagnation is the transient state of a solar thermal system under high solar irradiation where the useful solar gain is zero. Both flat-plate collectors with selective absorber coatings and vacuum-tube collectors exhibit stagnation temperatures far above the saturation temperature of the glycol-based heat carriers within the range of typical system pressures. Therefore, stagnation is always associated with vaporization and propagation of vapor into the pipes of the solar circuit. It is therefore essential to design the system in such a way that vapor never reaches components that cannot withstand high temperatures. In this article, a thermal-hydraulic model based on the integral form of a two-phase mixture model and a drift-flux correlation is presented. The model is applicable to solar thermal flat-plate collectors with meander-shaped absorber tubes and selective absorber coatings. Experimental data from stagnation experiments on two systems, which are identical except for the optical properties of the absorber coating, allowed comparison with simulations carried out under the same boundary conditions. The absorber of one system features a conventional highly selective coating, while the absorber of the other system features a thermochromic coating, which exhibits a significantly lower stagnation temperature. Comparison of simulation results and experimental data show good conformity. This model is implemented into an open-source software tool called “THD” for the thermal-hydraulic dimensioning of solar systems. The latest version of THD, updated by the results of this article, enables planners to achieve cost-optimal design of solar thermal systems and to ensure failsafe operation by predicting the steam range under the initial and boundary conditions of worst-case scenarios.
Urinary Titin N-fragment as a Biomarker of Muscle Atrophy, Intensive Care Unit-Acquired Weakness, and Possible Application for Post-Intensive Care Syndrome
Authors: Nakanishi Nobuto , Tsutsumi Rie , Hara Kanako , Matsuo Masafumi , Sakaue Hiroshi , Oto Jun
Published: December 2020

Titin is a giant protein that functions as a molecular spring in sarcomeres. Titin interplays the contraction of actin-containing thin filaments and myosin-containing thick filaments. The breakdown product of titin has been measurable in urine as urinary titin N-fragments. Urinary titin N-fragment was originally reported to be a useful biomarker in the diagnosis of muscle dystrophy. Recently, the urinary titin N-fragment has been increasingly gaining attention as a novel biomarker of muscle atrophy and intensive care unit-acquired weakness in critically ill patients, in whom titin loss is a possible pathophysiology. Furthermore, several studies reported that the urinary titin N-fragment also reflected muscle atrophy and weakness in patients with chronic illnesses. It may be used to predict the risk of post-intensive care syndrome or to monitor patients’ condition after hospital discharge for better nutritional and rehabilitation management. We provide several tips on the use of this promising biomarker in post-intensive care syndrome.
The Influence of Succession Management and Performance Employee to Corporate Success (Analysis In PT Prisma Group)
Authors: Irzan Syahrial
Published: December 2020

The purpose of this research is to understand comprehensively on the implementation of corporate success as a tool for the business world for formulating company policies that are very useful in the field of human resource management, by applying variables that have a large influence consisting of succession management and performance employee. The sample that was studies was 365 employees from the total population of the population of all PT Pisma Group employees which was divided into 5 subsidiaries as many as 4,204 employees were carried out in three company locations: Semarang, Pekalongan and Surabaya, using the questionnaire method in testing the data generated is valid and reliable. Data analysis techniques use quantitative methods with path analysis methods. This study concludes that corporate success is directly related to the existence of succession management and employee performance. Succession management requires that employee performance against the company be clear and measurable and cannot stand alone. Employee performance appraisal must be consistent and integrated with well-agreed succession management, so that the company is able to get reliable and prospective professional company leaders are able to support the company in the future to be very competitive, to the desired company success.
A Genuinely Short Gamma-Ray Burst from Massive Star Core Collapse
Authors: Zhang Binbin , Liu Zi-Ke , Peng Zong-Kai , Li Ye , Lu H.-J. , Yang Jun , Yang Yi-Si , Yang Yu-Han , Meng Yan-Zhi , Zou Jin-Hang , Ye Hao-Yang , Wang Xiang , Mao Jirong , Zhao Xiao-Hong , Bai Jinming , Castro-Tirado Alberto , Hu Y.D. , Dai Zi-Gao , Zhang Bing
Published: December 2020

Gamma-ray bursts have been phenomenologically classified into long and short populations based on whether the observed duration is longer or shorter than two seconds. Multi-wavelength and multi-messenger observations in recent years have revealed that in general long GRBs originate from massive star core collapse events, whereas short GRBs originate from binary neutron star mergers. It has been known that the duration criterion is sometimes unreliable, and multi-wavelength criteria are needed to identify the physical origin of a particular GRB. Some apparently long GRBs have been suggested to have a neutron star merger origin, whereas some apparently short GRBs have been attributed to genuinely long GRBs whose short, bright emission is above the detector's sensitivity threshold. Still, there has been no known case that a GRB is genuinely short but originates from death of a massive star. Here we report the comprehensive analysis of the multi-wavelength data of a bright short GRB 200826A. This burst has a sharp 1-second spike, which is not part of an underlying long-duration event. Its other observational properties are, however, inconsistent with those of other short GRBs believed to originate from binary neutron star mergers. Rather, these properties resemble those of long GRBs. This burst presents a challenge to the traditional GRB classification scheme and reveals a class of core-collapse-origin GRBs with genuinly short durations.
Computing Infection Distributions and Longitudinal Evolution Patterns in Lung CT Images
Authors: Gu Dongdong , Chen Liyun , Shan Fei , Xia Liming , Liu Jun , Mo Zhanhao , Yan Fuhua , Song Bin , Gao Yaozong , Cao Xiaohuan , Chen Yanbo , Shao Ying , Han Miaofei , Wang Bin , Liu Guocai , Wang Qian , Shi Feng , Shen Dinggang , Xue Zhong
Published: December 2020

Background: Spatial and temporal lung infection distributions of coronavirus disease 2019 (COVID-19) and their changes could reveal important patterns to better understand the disease and its time course. This paper presents a pipeline to analyze statistically these patterns by automatically segmenting the infection regions and registering them onto a common template. Methods: A VB-Net is designed to automatically segment infection regions in CT images. After training and validating the model, we segmented all the CT images in the study. The segmentation results are then warped onto a pre-defined template CT image using deformable registration based on registering CT images within the lung fields. Then, the spatial distributions of infection regions and those during the course of the disease are calculated at the voxel level. Visualization and quantitative comparison can be performed between different groups. As a result, we compared the distribution maps between COVID-19 and community acquired pneumonia (CAP), between severe and critical COVID-19, and across different course of the disease. Results: For the performance of infection segmentation, comparing the segmentation results with manually annotated ground truth, the average Dice is 91.6%±10.0%, which is close to the inter-rater difference between two radiologists (the Dice is 96.1%±3.5%). The distribution map of infection regions shows that high probability regions are in the peripheral subpleural (up to 35.1% in probability). COVID-19 GGO lesions are more widely spread than consolidations, and the latter are located more peripherally. Onset images of severe COVID-19 (inpatients) show similar lesion distributions but with smaller areas of significant difference in the right lower lobe compared to critical COVID-19 (intensive care unit patients). About the disease course, critical COVID-19 patients showed four distinct patterns (progression, absorption, enlargement, and further absorption) with remarkable concurrent HU patterns for GGO and consolidations.Conclusions: By segmenting the infection regions with a VB-Net and registering all the CT images and the segmentation results onto a template, spatial distribution patterns of infections can be computed automatically. The algorithm provides an effective tool to visualize and quantify the spatial patterns of lung infection diseases and their changes during the disease course. Our results demonstrate different patterns between COVID-19 and CAP, between severe and critical COVID-19, as well as four distinct disease course patterns of the severe COVID-19 patients studied, with remarkable concurrent HU patterns for GGO and consolidations.
Nutritional Trends and Practices Among 6-23 Months Old Children: A Hospital-Based Cross-Sectional Study From Bhaktapur, Nepal
Authors: Uprety Sophiya , Khadka Anjita , Paudyal Alina , Shrestha Dhruba
Published: December 2020

Background: Child undernutrition has been a prevailing issue in country like Nepal. Though there has been progress over the decades, the burden of child undernutrition still remains unacceptably high. It is important to look at how infants and young children’s feeding practices and nutritional status are affected by nutrition transitioning in rapidly urbanizing Nepal Methods: This is a cross-sectional research design Children aged 6-23 months and their mothers visiting the hospital for regular immunization services constituted the study population. Data was collected from 305 children over four months from September 2019 to January 2020. Anthropometric measurements (weight and length) were collected of all children and their mothers/caretakers were interviewed on the IYCF practices via a semi-structured questionnaire Data was analyzed using WHO Anthro Survey Analyzer, Microsoft Excel and STATA 15.Results: Early initiation of breastfeeding was 47.9% and use of bottle was 48.5%. Minimum dietary diversity, minimum meal frequency and minimum acceptable diet were 66.2%, 79.1% and 54.4% respectively. Consumption of nutrient-poor packaged foods was 63.0% with biscuits being the most common type (52.1%) and 32.8% of the children were found to be drinking tea. Overall, 13.8% of the children were stunted, 3.9% were underweight and 1.7% were wasted while 2.3% were overweight.Conclusion: The practices related to breastfeeding and diets of young children in urban areas of Nepal are not optimal with only around half meeting the minimum standards recommended by the WHO. Therefore, there is a pressing need to wake up to the rapidly changing dietary patterns among young children through necessary urban nutrition policies and programmatic interventions, the rising adverse nutrition issues can be nipped in the bud before they get too pervasive.
The Impacts of Implementing Primary Care Indicators and Related Financial Incentives on the Trends of Vaccination Coverage Against Influenza Among Elderly People in Hungary
Authors: Szőllősi Gergő , Al-Tammemi Ala’a , Harsányi Szilvia , Garbóczy Szabolcs Dr. , Dr.Balogh Nándor , Simon Ildikó Dr. , Kolozsvári László Dr.
Published: December 2020

Background Influenza is considered one of the most important global public health issues, and a main contributing factor to significant mortality and morbidity across many countries worldwide, especially among elderlies. This study aimed to evaluate the changes of flu vaccination coverage among elderlies in Hungary over the past years and to analyze the effect of implementing financial incentive related primary care indicators on the vaccination coverage.Methods 95% Confidence intervals for proportions of people aged 65 or above regarding influenza vaccination status were calculated yearly in order to detect the trends of vaccination coverage in Hungary before and after an 8-year period of the introduction of indicators system.Results Despite the financial motivational incentives provided to general practitioners to vaccinate their patients against influenza, the vaccination coverage is declining in recent years i.e. before the implementation: 36.01% (95% CI: 35.98 – 36.04); after the implementation: 28.03% (95% CI : 28.01 - 28.06).Conclusions According to our results, the implementation of indicators system and related financial incentives could not exploit the potential opportunities in the aspect of increasing the flu vaccination coverage among elderlies in Hungary. Therefore, increasing the flu vaccination coverage should be achieved, not only with free -of- charge vaccines and financial incentives, but also with other possible options such as raising the awareness among people and implementing an effective, follow up system.
SARS-CoV-2 infection induces long-lived bone marrow plasma cells in humans
Authors: Ellebedy Ali , Turner Jackson , Kim Wooseob , Kalaidina Elizaveta , Goss Charles , Rauseo Adriana , Schmitz Aaron , Hansen Lena , Haile Alem , Klebert Michael , Pusic Iskra , O’Halloran Jane , Presti Rachel
Published: December 2020

Infection or vaccination induces a population of long-lived bone marrow plasma cells (BMPCs) that are a persistent and essential source of protective antibodies1–5. Whether this population is induced in patients infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is unknown. Recent reports have suggested that SARS-CoV-2 convalescent patients experience a rapid decay in their antigen-specific serum antibodies, raising concerns that humoral immunity against this virus may be short-lived6–8. Here we show that in patients who experienced mild infections (n=73), serum anti-SARS-CoV-2 spike (S) antibodies indeed decline rapidly in the first 3 to 4 months after infection. However, this is followed by a more stable phase between 4- and 8-months after infection with a slower serum anti-S antibody decay rate. The level of serum antibodies correlated with the frequency of S-specific long-lived BMPCs obtained from 18 SARS-CoV-2 convalescent patients 7 to 8 months after infection. S-specific BMPCs were not detected in aspirates from 11 healthy subjects with no history of SARS-CoV-2 infection. Comparable frequencies of BMPCs specific to contemporary influenza virus antigens or tetanus and diphtheria vaccine antigens were present in aspirates in both groups. Circulating memory B cells (MBCs) directed against the S protein were detected in the SARS-CoV-2 convalescent patients but not in uninfected controls, whereas both groups had MBCs against influenza virus hemagglutinin. Overall, we show that robust antigen specific long-lived BMPCs and MBCs are induced after mild SARS-CoV-2 infection of humans.
Machine Learning-Based Prediction of Survival Prognosis in Cervical Cancer
Authors: Ding Dongyan , Lang Tingyuan , Zou Dongling , Tan Jiawei , Chen Jia , Wang Dong , Li Rong , Li Yunzhe , Liu Jingshu , Ma Cui , Zhou Qi , Zhou Lei
Published: December 2020

Backgroud: Accurately forecasting the prognosis could improve therapeutic management of cancer patients, however, the currently used clinical features are difficult to provide enought information. The purpose of this study is to develop a survival prediction model for cervical cancer patients with big data and machine learning algorithms. Results: The cancer genome atlas cervical cancer data, including the expression of 1046 microRNAs and the clinical information of 309 cervical and endocervical cancer and 3 control samples, were downloaded. Missing values and outliers imputation, samples normalization, log transformation and features scaling were performed for preprocessing and 3 control, 2 metastatic samples and 707 microRNAs with missing values ≥ 20% were excluded. By Cox Proportional-Hazards analysis, 55 prognosis-related microRNAs (20 positively and 35 negatively correlated with survival) were identified. K-means clustering analysis showed that the cervical cancer samples can be separated into two and three subgroups with top 20 identified survival-related microRNAs for best stratification. By Support Vector Machine algorithm, two prediction models were developed which can segment the patients into two and three groups with different survival rate, respectively. The models exhibite high performance : for two classes, Area under the curve = 0.976 (training set), 0.972 (test set), 0.974 (whole data set); for three classes, AUC = 0.983, 0.996 and 0.991 (group1, 2 and 3 in training set), 0.955, 0.989 and 0.991 (group 1, 2 and 3 in test set), 0.974, 0.993 and 0.991 (group 1, 2 and 3 in whole data set) .Conclusion: The survival prediction models for cervical cancer were developed. The patients with very low survival rate (≤ 40%) can be separated by the three classes prediction model first. The rest patients can be identified by the two classes prediction model as high survival rate (≈ 75%) and low survival rate (≈ 50%).
Location-Sharing Protocol for Privacy Protection in Mobile Online Social Networks
Authors: Ruan Ou , Zhang Lixiao , Zhang Yuanyuan
Published: December 2020

Location-based services are becoming more and more popular in mobile online so-cial networks(mOSNs) for smart cities, but users' privacy also has aroused wide concern, such as locations, friend sets and other private information. At present, many location sharing protocols in mOSNs have been proposed, but these pro-tocols are inecient and ignore some security risks. In this paper, we propose a new location sharing protocol, which solves these two issues by using symmetric encryption and asymmetric encryption properly. We adopt the following methods to reduce the communication and computation costs: only setting up one loca-tion server; connecting social network server and location server directly instead of through celluar towers; avoiding broadcast encryption. We introduce dummy iden-tities to protect users' identity privacy, and prevent location server from inferring users' activity tracks by updating dummy identities in time. The details of security and performance analysis with the related protocols show that our protocol enjoys two advantages: (1) it's more ecient than the related protocols, which greatly re-duces the computation and communication costs; (2) it satises all security goals, however, most previous protocols only meet some security goals.
Mutations of the Histone Linker H1-4: An Expanded Cohort and Functional Characterization of Frameshift Mutant H1.4 in Neurons
Authors: Tremblay Martine W , Green Matthew V , Rosenfeld Jill A , Streff Haley , Craigen William , Bekheirnia Nasim , Tala Saeed Al , Tan Wendy D , West Anne E , Jiang Yong-hui
Published: December 2020

Background: Rahman syndrome (RMNS) is a rare genetic disorder characterized by mild to severe intellectual disability, hypotonia, anxiety, autism spectrum disorder, vision problems, brittle bones, and dysmorphic facies. De novo heterozygous mutations in H1-4 (HIST1H1E) encoding the linker histone H1.4 are found in patients with RMNS; however, the underlying mechanisms causing the pronounced neurological manifestations are not understood. The majority of reported mutations in H1-4 are small insertions or deletions that create a shared frameshift, resulting in an H1.4 protein that is both truncated and possessing an abnormal C-terminal tail.Methods: Seven Rahman syndrome subjects with C-terminal frameshift mutations as well as three patients with heterozygous null mutations in H1-4 were described in detail. Lymphoblastoid cells from these patients were used to identify transcriptional abnormalities in RMNS. Wildtype or mutant frameshifted human H1.4 protein was exogenously expressed in primary rat hippocampal neurons, and neuronal structure and function were assessed using immunohistochemistry and multi-electrode array recordings. Results: Individuals with heterozygous null variants in the H1-4 gene lack several key RMNS phenotypes, supporting the hypothesis that RMNS is due to a gain-of-function of the frameshift mutant H1.4 protein. In cultured rat hippocampal neurons, H1.4 was localized to the nucleus, though the frameshift mutant H1.4 had a distinct subnuclear distribution and enlarged nuclei. Overexpression of frameshift mutant H1.4 had minimal effects on dendritic morphology; however, it significantly reduced neuronal firing rate relative to neurons overexpressing wildtype human H1.4. Limitations: Given the small number of RMNS cases worldwide, the true breadth of phenotypes remains unknown. Though our data do not show robust differential expression of any genes, larger cohorts for clinical and molecular studies will be needed to gain reliable data.Conclusions: These data are the first to characterize the consequence of frameshift mutant H1.4 in neurons. These data provide new insights into the breadth of phenotypes and causes of neurological dysfunction in RMNS and highlight the need for future studies on the function of histone H1.4 in neurons.
Study on Population Dynamics, Occurrence Mechanism and Control Measures of Cultural Relics Pests in the Hall of Mental Cultivation of the Forbidden City
Authors: Zhang Guoqing , Gu An , Wei Le
Published: December 2020

Insect infestations seriously threaten the safety of organic cultural relics and ancient buildings. Every year, the Palace Museum spends a large amount of money and time on the prevention and control of cultural relics pests, but there is still no systematic and targeted method. The Hall of Mental Cultivation is a representative and important building in the Forbidden City. Through three years of pest investigation, the species, occurrence mechanism and development trend of the main pests were discovered. During the investigation, more than 10 species of insects were trapped. Pests of cultural relics included carpet beetle (Anthrenus picturatus hintoni Mroczkowski and Thylodrias contractus Motschulsky), silverfish (Ctenolepisma villosa), powder post beetle (Lyctus brunneus Stephens), booklice (Loposcelis bostrychophila), spider beetle (Ptinus japonicus Reitter and Gibbium aequinoctiale Boieldieu) and clothes moth (Tinea pellionella), among which the Anthrenus picturatus hintoni Mroczkowski was the primary pests. Abundant resources of organic cultural relics, suitable temperature, humidity and light environment, and the existence of cypress are favorable factor for the occurrence of pests. Analysis of these triggers is helpful for Integrated Pest Management. The period with the largest number of active pests in the Hall of Mental Cultivation is July and August. April, May are the rapid growth period, and the influence of the carpet beetles on the overall change trend is significant. Combined with the living habits of main insect pest——carpet beetles, the killing time of different killing means can be effectively grasped: fumigation should be in July and August when the maximum amount, while chemical spray should be combined with the flowering period of trees (March to May).
Protocol for Implementation of an Evidence Based Parentally Administered Intervention for Preterm Infants
Authors: White-Traut Rosemary C , Brandon Debra , Kavanaugh Karen , Gralton Karen , Pan Wei , Myers Evan R. , Andrews Bree , Msall Michael , Norr Kathleen F.
Published: December 2020

BackgroundMulti-sensory behavioral interventions for preterm infants have the potential to accelerate feeding, growth, and optimize developmental trajectories and increase parents’ interactive engagement with their infants. However, few neonatal intensive care units (NICUs) provide evidence-based standardized early behavioral interventions as routine care. Lack of implementation is a major gap between research and clinical practice. H-HOPE, is a standardized behavioral intervention with an infant- directed component (Massage+) and a parent-directed component (four participatory guidance sessions that focus on preterm infants’ behaviors and appropriate responses). H-HOPE has well documented efficacy. The purpose of this implementation study is to establish H-HOPE as the standard of care in 5 NICUs. MethodsThe study employs a Type 3 Hybrid design to simultaneously examine the implementation process and effectiveness in five NICUs. To stagger implementation across the clinical sites, we use an incomplete stepped wedge design. The five participating NICUs were purposively selected to represent different acuity levels, number of beds, locations and populations served. Our implementation strategy integrates our experience conducting H-HOPE and a well-established implementation model, the Consolidated Framework for Implementation Research (CFIR). The CFIR identifies influences (facilitators and barriers) that affect successful implementation within five domains: intervention characteristics, outer setting (the hospital and external events and stakeholders), inner setting (NICU), implementers’ individual characteristics, and the implementation process. NICUs will use the CFIR process, which includes three phases: Planning and Engaging, Executing, and Reflecting and Evaluating. Because sustaining is a critical goal of implementation, we modify the CFIR implementation process by adding a final phase of Sustaining.DiscussionThis study builds on the CFIR, adding Sustaining H-HOPE to observe what happens when sites begin to maintain implementation without outside support, and extends its use to the NICU acute care setting. Our mixed methods analysis systematically identifies key facilitators and barriers of implementation success and effectiveness across the five domains of the CFIR. Long term benefits have not yet been studied but may include substantial health and developmental outcome for infants, more optimal parent-child relationships, reduced stress and costs for families, and substantial indirect societal benefits including reduced health care and special education costs.Trial registrationClinicalTrials.gov registration number NCT04555590, Registered on 8/19/2020
The Application of Knowledge Stylised Facts in West Africa Economic and Monetary Union (WAEMU)
Authors: Amanzou Aubin Nogbou Andetchi , Zie Ballo , Flavien Troupa Sery Guy
Published: December 2020

Sub-Saharan Africa has one of the dynamic economies in the world. Unfortunately, the performance achieve has not led to a reduction of social issues. So, the government are making massive investment to overcome social issues. This massive public investment highlights the exogenous nature of the current economic growth. So, a change of the strategy in the economic management of sub-Saharan Africa is required. One solution remains the change of economic paradigm: the transition from exogenous economic with decreased return to endogenous economic with increased return. The theoretical explanation of such arguments are supported by New Growth Theory. However, the implementation of the new theory required compliance to a set of indicators known as stylized facts. In 2009, Romer and Jones have developed a list of stylized corresponding to the need of New Growth Theory. The stylized facts of the West African Economic and Monetary Union have been compared to the standard facts of Romer and Jones in order to apply the recommendations of New Growth Theory in this area. To reach that aim, the stylized facts have been described and analysed with econometric panel model. As result, we find that the description of the stylized facts in WAEMU fitted perfectly with that of Romer and Jones for the same period. Unfortunately, when using data, institution don’t work as expected by Romer and Jones (2010). This study strengthens the argument for the implementation of economic policy based on the valorisation of knowledge economic in WAEMU.
Molecular Mapping of a Novel Lesion Mimic Gene (lm4) Associated with Enhanced Resistance to Stripe Rust in Bread Wheat
Authors: Liu Rong , Lu Jing , Zheng Shigang , Du Mei , Zhang Chihong , Wang Mingxiu , Li Yunfang , Xing Jiayi , Wu Yu , Zhang Lei
Published: December 2020

Background: Lesion mimics (LMs) are disease-like symptoms that occur randomly on plant green leaves in the absence of pathogens. A previous study showed that LMs are related to enhanced resistance to a broad spectrum of diverse pathogen races and programmed cell death (PCD). Stripe rust is a globally epidemic fungal disease that can substantially reduce the quality and yield of crops. The development of resistant cultivars is an economical and environmentally friendly way to enhance the adaptability and yield stability of crops instead of the use of fungicide applications. Results: In this study, a novel LM gene affording Pst resistance was identified and mapped with molecular markers developed for marker-assisted selection (MAS)-based wheat breeding. In this study, a novel LM gene named lm4, which is closely linked (8.06 cM) to SSR markers Xgwm210 and Xgwm455, was identified by using a Yanzhan 1/Neixiang 188 RIL population. The genetic distance of lm4 was then narrowed such that it was flanked by SSR markers with 0.51 cM and 0.77 cM intervals. Two SSR markers, lm4_01_cib and lm4_02_cib, were developed based on the content in the Chinese Spring genome database and wheat 660K SNP results; these markers can be used to conduct MAS of LMs in wheat. The results also showed that lm4 significantly improved the resistance of stripe rust in wheat. Conclusions: Therefore, lm4 is associated with stripe rust resistance, which may provide theoretical support for future crop disease-resistance breeding and for understanding the plant apoptosis mechanism.
Does the Natural Carcinogen Ptaquiloside Degrade Readily in Groundwater?
Authors: Wu Jane S. , Clauson-Kaas Frederik , Lindqvist Dan Nybro , Rasmussen Lars Holm , Strobel Bjarne W. , Hansen Hans Christian Bruun
Published: December 2020

Background: Ptaquiloside (PTA) is a natural carcinogen found in bracken ferns. PTA is released from the plants via soil to surface and groundwaters from where humans can be exposed via drinking water. Primary degradation of PTA is due to hydrolysis with formation of pterosin B (PTB). Temperature and pH determine the rate of hydrolysis under pure experimental conditions. To assess the applicability of the experimental model to natural groundwaters, PTA degradation kinetics were examined in a range of natural groundwaters at environmentally relevant conditions.Results: PTA was quantified by UPLC-MS/MS. Over an 80-day study period, PTA half-lives ranged from 6.5 to 47 days (natural pH; 8.0oC). The fastest degradation was observed for the most alkaline groundwaters with pH of around 8. Rates of degradation was well predicted using an existing rate equation for hydrolysis. However, deviations from this model were found, especially at the extremes of the examined pH-range (4.7-8.2). The rate of conversion of PTA to PTB was close to unity around neutral pH. However, at slightly acidic conditions, formation of PTB could only count for 9% of the degraded PTA, indicating formation of other products.Conclusions: Degradation of PTA in groundwater is determined by pH and temperature, and PTA can prevail for months under slightly acid to neutral pH conditions. The existing laboratory-based model for PTA hydrolysis is generally applicable for groundwaters but needs further validation at high and low pH.
Establishment of Metabolic Syndrome Prediction Model for Occupational Population based on the Lasso Regression Algorithm
Authors: Xie Qiao-Ying , Wang Ming-Wei , Hu Zu-Ying , Chu Yan-Ming , Cao Cheng-Jian , Wang Min , Wang Cong , Kang Jing-Yu , Fu Xin-Yan , Zhang Xing-Wei , Feng Zhan-Hui , Li Jian-Bo , Cheng Yong-Ran
Published: December 2020

Background: Metabolic syndrome (MS) screening is important for the early detection of occupational population. This study aimed to screen out biomarkers related to MS and establish a risk assessment and prediction model for the routine physical examination of an occupational population.Methods: The least absolute shrinkage and selection operator (Lasso) regression algorithm of machine learning was used to screen biomarkers related to MS. Then, the accuracy of the logistic regression model was further verified based on the Lasso regression algorithm. Finally, the screened biomarkers were used to establish a logistic regression model and calculate the odds ratio (OR) of the corresponding biomarkers. Results: A total of 2844 occupational workers were included, and 10 biomarkers related to MS were screened. The area under the curve (AUC) value for non-Lasso and Lasso regression was 0.652 and 0.907, respectively. The established risk assessment model revealed that the main risk factors were basophil absolute count (OR: 3.38), platelet packed volume (OR: 2.63), leukocyte count (OR: 2.01), red blood cell count (OR: 1.99), and alanine aminotransferase level (OR: 1.53). Conclusion: The risk assessment model based on the Lasso regression algorithm helped identify Metabolic syndrome with high accuracy in physically examining an occupational population.
Ossifying Skeletal Muscle Metastases from Colon Cancer: A Case Report and Literature Review
Authors: Guo Yu , Wang Shuang , Xue Wangsheng , Li Jiannan , Zhao Zeyun , Zhang Mingwei , Shang An , Li Donglin , Wang Min
Published: December 2020

Background: Colon cancer is a common malignant disease of the gastrointestinal tract and usually occurs at the junction of the rectum and sigmoid colon. Lymphatic and hematogenous metastases occur frequently in colon cancer and the most common metastatic sites include the regional liver, lung, peritoneum, bone, and lymph nodes. As a manifestation of advanced tumor spread and metastasis, soft tissue metastasis, especially skeletal muscle metastasis ossification caused by colon cancer, is rare, accounting for less than 1% of metastases.Case presentation: In this study, we report a rare case of a 43-year-old male patient who developed an ossifying skeletal muscle metastasis of the right proximal thigh with severe pain at 5 months after colon cancer was diagnosed, who subsequently from the developed metastasis. The patient was admitted to the hospital because of pain caused by a local mass on his right thigh. Positron emission tomography-computed tomography showed multiple lymphadenopathy metastases around the abdominal aorta without lung or liver metastases. Color ultrasound revealed a mass located in the skeletal muscle and the results of histological biopsy revealed a poorly differentiated adenocarcinoma suspected to be distant metastases from colon cancer and immunohistochemistry showed small woven bone components that were considered to be ossified. Conclusion: Although ossifying skeletal muscle metastases is rare, its potential malignancy is high. With advances in examinations and treatment modality, Positron emission tomography-computed tomography, collagen gel droplet culture drug-sensitivity test and genetic tests are recommended to optimize comprehensive and individual treatment modality to prolong patient survival.