bluuebunny/crossref_metadata_2025_split huggingface dataset:
Paracrine Effects Of Adipose-Derived Stromal/Stem Cells And Stromal Vascular Fraction In An In Vitro Fibrogenesis Model Of Human Vocal Fold Scarring
Authors: Velier Mélanie , MATTEI Alexia , SIMONCINI Stéphanie , MAGALON Jérémy , GIRAUDO Laurent , ARNAUD Laurent , GIOVANNI Antoine , GEORGE Francoise DIGNAT , SABATIER Florence , GUGATSCHKA Markus , GROSSMANN Tanja 
Published: April 2020

Abstract
Background: Vocal folds (VF) scarring leads to severe dysphonia which negatively impacts daily life of patients. Current therapeutic options are limited due in large part to the high complexity of the micro-structure of the VF. Innovative therapies derived from adipose tissue such as stromal vascular fraction (SVF) or adipose derived stromal/ stem cells (ASC) are currently being evaluated in this indication and paracrine anti-fibrotic effects are considered as predominant mechanisms. Methods: The paracrine anti-fibrotic effects of SVF and ASC from healthy donors were tested in an innovative in vitro fibrogenesis model employing human VF fiboblasts (hVFF) and the principles of macromolecular crowding (MMC). Biosynthesis of collogen and alpha-smooth-muscle actin (αSMA) expression in hVFF were quantified after five days of indirect coculture with ASC or SVF using silver stain, western blot and RT-qPCR analysis. Results: Fibrogenesis was promoted by addition of transforming growth factor beta 1 (TGFβ1) combined with MMC characterized by an enhanced deposition of fibrillar collagens and the acquisition of a myofibroblast phenotype (overexpression of αSMA). Adipose-derived therapies led to a reduction in the αSMA expression and the collagen content was lower in hVFF co-cultivated with SVF. Discussion: ASC and SVF promoted significant prevention of fibrosis in an in vitro fibrogenesis model through paracrine mechanisms, supporting further development of adipose-derived cellular therapies in VF scarring.
Research on House Price Prediction Based on Multi-Dimensional Data Fusion
Authors: Yang Yonghui 
Published: April 2020

Abstract
The price of commercial housing is related to the process of urbanization in China and the living standard of residents, so the prediction of the price of commercial housing is very important. A major difficulty in predicting regression problems is how to handle different attribute types and fuse them. This paper proposes a house price prediction model based on multi-dimensional data fusion and a fully connected neural network. The model building steps are: First, normalize the data involved in the sample; then, interpolate the normalized data to increase the data density; subsequently, the normalized sample data is converted into a pixel matrix; finally, a fully connected neural network model is established from the pixel matrix to the price of the commercial house. After the neural network model has been established, the price of house can be obtained by entering the attributes of the house into the neural network model.
Comparison of Several Different Registration Algorithms
Authors: Liu Lulu , Liu Baolong 
Published: April 2020

Abstract
The common point cloud registration algorithms are usually divided into initial registration and precise registration. In this paper, SAC-IA algorithm, which is commonly used in PCL, is selected for initial registration, and the traditional ICP algorithm is used for accurate registration. Three different feature descriptors (3D shape context, Point Feature Histograms, Fast Point Feature Histograms) are used to realize SAC-IA algorithm and ICP precise registration algorithm. During the implementation of the algorithm, the registration time and registration error of point cloud are calculated; according to the experimental results, the registration time and registration error of SAC-IA algorithm and ICP algorithm based on three different descriptors are compared. The results show that the registration algorithm based on 3D shape context has high accuracy, but the registration time is too long, which is not suitable for a large number of point cloud data; the registration algorithm based on fast point feature histograms has short registration time and good registration effect.
Dynamic analysis of MCF-10A and MCF-7: A simulation approach
Authors: Ahmed Mubeen Ayman , Chaudhary Shrishti , Barathwaj R Arun , C V Chandrashekara 
Published: April 2020

Cancer is one of the leading causes of death in the world. Breast cancer is the most common form of cancer among women and is responsible for 15 % of all cancer related deaths. Though there are significant advancements in cancer treatment strategies, clinical tumour treatment methods currently employed are often accompanied by severe side effects as they induce damage to the normal cells along with the cancer cells. The alterations in the biophysical and biomechanical properties of a cell as it undergoes transformation from a normal to cancerous cell results in changes in its dynamic characteristics. These changes can be utilised to induce selective cytotoxicity of tumour cells. In the present study, two simulation models (homogenous and non-homogenous) of normal (MCF-10A) and cancerous (MCF-7) breast cells are developed. A finite element approach using Ansys is adopted to investigate the variation in dynamic characteristics of the cells using the two modelling approaches. Results indicate that the natural frequencies of cells modelled as a homogenous system is greater than that of cells whose sub-cellular material properties are considered for analysis. A comparison of the first four natural frequencies using the two modelling approaches for both MCF-10A and MCF-7 cells are illustrated and the corresponding mode shapes reported. A plot highlighting the variation in the natural frequencies of MCF-10A and MCF-7 using the two modelling approaches is presented.
Modelling study to quantify the impact of future climate and land use changes on water resources availability at catchment scale
Authors: Afzal Muhammad , Vavlas Nikolaos , Ragab Ragab 
Published: April 2020

Abstract
The focus of this study was to investigate the impact of climate and land-use changes on water resources and to find suitable drought indices to identify the occurrence, frequency and severity of the past and future drought events. The Ebbw catchment, Wales, UK was selected for this study. Data for the 1961–2012 period were used as input to the DiCaSM model. Following model calibration and validation, the model was run with UKCP09 future climate scenarios for three periods (30 years each) up to 2099 under three emission scenarios. The reconnaissance drought index, the standardized precipitation index, soil moisture deficit and the wetness index were able to reproduce the past drought events. The data of UKCP09, simple change factors to temperature (± °C) and rainfall (%) using Joint Probability plot and daily values of the weather generator were input to the model. The projections indicated that the streamflow and groundwater recharge are likely to increase in winter and to decrease in spring, summer and autumn. Under all emission scenarios, the greatest decrease in groundwater recharge and the streamflow is projected in the 2050s and 2080s under high emission scenario. Moreover, under medium and high emission scenarios, severity and frequency of the drought events are likely to be high. Land use change from grass and/or arable to woodland had significant impact on water resources.
Pharmaceuticals' removal by constructed wetlands: a critical evaluation and meta-analysis on performance, risk reduction, and role of physicochemical properties on removal mechanisms
Authors: Ilyas Huma , Masih Ilyas , van Hullebusch Eric D. 
Published: April 2020

Abstract
This paper presents a comprehensive and critical analysis of the removal of pharmaceuticals (PhCs), the governing physicochemical properties, and removal mechanisms in constructed wetlands (CWs). The average removal efficiency of the most widely studied 34 PhCs ranges from 21% to 93%, with the exception of one PhC that exhibited negative removal. Moreover, CWs are effective in significantly reducing the environmental risk caused by many PhCs. Based on risk assessment, 12 PhCs were classified under high risk category (oxytetracycline &gt; ofloxacin &gt; sulfamethoxazole &gt; erythromycin &gt; sulfadiazine &gt; gemfibrozil &gt; ibuprofen &gt; acetaminophen &gt; salicylic acid &gt; sulfamethazine &gt; naproxen &gt; clarithromycin), which could be considered for regular monitoring, water quality standard formulation and control purposes. Biodegradation (aerobic and anaerobic) is responsible for the removal of the majority of PhCs, often in conjunction with other mechanisms (e.g., adsorption/sorption, plant uptake, and photodegradation). The physicochemical properties of molecules play a pivotal role in the elimination processes, and could serve as important predictors of removal. The correlation and multiple linear regression analysis suggest that organic carbon sorption coefficient (Log Koc), octanol-water distribution coefficient (Log Dow), and molecular weight form a good predictive linear regression model for the removal efficiency of PhCs (R2 = 0.65, P-value &lt;0.05).
Purification of emulsified oil by Bentonite loaded polyvinylidene fluoride/polyvinylpyrrolidone membrane
Authors: Nigiz F. U. , Yucak A. I. , Hilmioglu N. D. 
Published: April 2020

Abstract
In this study, a Bentonite clay incorporated polyvinylfluoride (PVDF) and polyvinyl pyrrolidone (PVP) based adsorbent membrane was produced for the selective separation of oils from simulated wastewater. This membrane was produced as an intelligent material that selectively separates emulsified oils from water when it is used as adsorbent and purifies water when it is used in continuous membrane filtration. The affinity of the membrane to oil components was determined by water-oil uptake tests. The uptake experiments were conducted for soybean oil, hazelnut oil, lubricant oil and other volatile oils. As a result, membranes absorbed greater than 200 wt.% of oil when the membranes were immersed in the soybean oil, hazelnut oil and lubricant oil. When the same membranes were used for continuous filtration, greater than 85% of oil rejection values were obtained. As the PVP ratio in the membrane increased, flux values enhanced gradually. Bentonite incorporation simultaneously improved flux values and oil rejection remarkably. The soybean rejection increased from 69.1% to 90.9%, hazelnut oil rejection increased from 78% to 99.98%, and lubricant oil rejection enhanced from 80.5% to 96.5% when the bentonite amount was increased from 0 wt.% to 15 wt.%.
Synthesis of cation exchange membranes for capacitive deionization based on crosslinked polyvinyl alcohol with citric acid
Authors: Chen Ling , Mao Shudi , Li Zhe , Yang Ying , Zhao Ran 
Published: April 2020

Abstract
Constructing new cation exchange membranes (CEM) has been regarded as an easy and effective approach to improving the capacitive deionization (CDI) system. In this study, a new method of fabrication of CEM was introduced by crosslinking sulfosuccinic acid (SSA) and citric acid (CA). The SSA and CA were crosslinked with polyvinyl alcohol (PVA) to fabricate CEMs in a series of conditions. The ion transference number for each fabricated membrane was tested to select the optimal recipe. The membrane fabricated by the selected method was then tested in the CDI system and the results show that the total percentage of SSA could be reduced from 5% to 1% by adding 5 g of non-toxic and inexpensive CA. The cost of preparing the membrane also decreased from US$0.18 per square meter to US$0.03. The adsorption capacity and the charge efficiency of membrane capacitive deionization system (MCDI) coated with a PVA/SSA/CA layer (mass ratio 10:1:5) was compared with the normal CDI and the MCDI coated with the original membrane (PVA:SSA = 19:5), which is named O-MCDI). The results show that with the modified membrane, the adsorption capacity and the charge efficiency can be enhanced by 18% and 28% compared with the CDI. In addition, although the cost is reduced, the desalination efficiency is still guaranteed. The adsorption capacity and charge efficiency are still increased by about 3% compared with the O-MCDI.
Resveratrol Counteracts Hypoxia-Induced Gastric Cancer Invasion and EMT through Hedgehog Pathway Suppression
Authors: Xu Qin-Hong , Xiao Ying , Li Xu-Qi , Fan Lin , Zhou Can-Can , Cheng Liang , Jiang Zheng-Dong , Wang Guang-Hui 
Published: April 2020

Background:
Gastric Cancer (GC) is one of the most malignant and lethal tumors worldwide. The
hypoxic microenvironment is correlated with GC cell invasion, metastasis and Epithelial-Mesenchymal Transition
(EMT). Resveratrol is a compound extracted from various plants, including grapes, berries, and some traditional
Chinese medicines. Recently, the anticancer properties of resveratrol against many cancers have been reported in a
range of studies. However, the exact mechanism through which resveratrol prevents GC invasion and metastasis
under hypoxic conditions remains unclear.

Objective:
The objective of this study is to show to what extent resveratrol could inhibit the hypoxia-induced malignant
biological behavior of GC.

Methods:
SGC-7901 cells were cultured in a consistent 3% O2 hypoxic condition or 21% O2 normal condition for 48
hours to establish an in vitro hypoxia model. Western blot and qRT-PCR were used to detect EMT markers of SGC-
7901 cells, including E-cadherin, HIF-1a, Vimentin, etc. Transwell Matrigel Invasion Assays were used to test the
invasive ability of SGC-7901 cells. The siRNA targeting Gli-1 showed its role in hypoxia-induced EMT and invasion
of SGC-7901 cells.

Results:
Resveratrol was found to significantly decrease HIF-1α protein levels induced by hypoxia in SGC-7901
cells. HIF-1α accumulation was found to promote cell proliferation, migration, and invasive capacities in addition to
EMT changes through the activation of the Hedgehog pathway. These effects were found to be reversed by resveratrol.

Conclusion:
Therefore, these data indicate that resveratrol may serve as a potential anticancer agent for the treatment
of GC, even in a hypoxic tumor microenvironment.
Peran Orangtua dalam Mengembangkan Kecerdasan Emosional Anak Usia Dini
Authors: Wijayanto Arif 
Published: April 2020

AbstrakPeran orang tua menjadi suatu hal yang penting untuk diperhatikan dalam pengembangan emosi anak usia dini. Hal tersebut dikarenakan tidak semua orang tua memahami pentingnya perkembangan emosi pada anak usia dini. Penelitian ini bertujuan untuk mendeskripsikan peran orang tua dalam mengembangkan kecerdasan emosi anak usia dini di Kelurahan Krobokan Semarang Barat. Penelitian ini menggunakan pendekatan kualitatif karena peneliti ingin melihat adanya fenomena orang tua yang memiliki perhatikan terhadap kecerdasan emosi. Teknik pengumpulan data dilakukan melalui observasi, wawancara dan dokumentasi. Penelitian ini menggunakan teknik analisis data yang dikembangkan oleh Miles & Huberman yang didalamnya secara berurutan berisi pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan. Keabsahan data menggunakan triangulasi, yaitu dengan membandingkan data hasil pengamatan dengan hasil wawancara, membandingkan hasil wawancara yang sama dengan waktu yang berbeda, dan mencari data dari sumber lain selain subjek penelitian. Hasil penelitian menunjukkan bahwa peran orang tua dalam mengembangkan kecerdasan emosi anak usia dini meliputi: (1) peran orang tua sebagai pendidik, (2) peran orang tua sebagai pengasuh, (3) peran orang tua sebagai motivator, (4) peran orang tua sebagai model. AbstractThe role of parents becomes an important thing to consider in the emotional development of early childhood. That is because not all parents understand the importance of emotional development in early childhood. This study aims to describe the role of parents in developing emotional intelligence in early childhood in Krobokan Village, Semarang Barat. This study uses a qualitative approach because researchers want to see the phenomenon of parents who have a concern for emotional intelligence. Data collection techniques are done through observation, interviews and documentation. This study uses data analysis techniques developed by Miles & Huberman which in turn consist of data collection, data reduction, data presentation and conclusion drawing. The validity of the data uses triangulation, namely by comparing the observational data with the results of interviews, comparing the results of the same interview with different times, and looking for data from sources other than the research subject. The results showed that the role of parents in developing emotional intelligence in early childhood includes: (1) the role of parents as educators, (2) the role of parents as caregivers, (3) the role of parents as motivators, (4) the role of parents as model.
Low-Density Lipoprotein Cholesterol Target Attainment in Patients With Established Cardiovascular Disease: Analysis of Routine Care Data
Authors: Groenhof T Katrien J , Kofink Daniel , Bots Michiel L , Nathoe Hendrik M , Hoefer Imo E , Van Solinge Wouter W , Lely A Titia , Asselbergs Folkert W , Haitjema Saskia 
Published: April 2020

Background
Direct feedback on quality of care is one of the key features of a learning health care system (LHS), enabling health care professionals to improve upon the routine clinical care of their patients during practice.

Objective
This study aimed to evaluate the potential of routine care data extracted from electronic health records (EHRs) in order to obtain reliable information on low-density lipoprotein cholesterol (LDL-c) management in cardiovascular disease (CVD) patients referred to a tertiary care center.

Methods
We extracted all LDL-c measurements from the EHRs of patients with a history of CVD referred to the University Medical Center Utrecht. We assessed LDL-c target attainment at the time of referral and per year. In patients with multiple measurements, we analyzed LDL-c trajectories, truncated at 6 follow-up measurements. Lastly, we performed a logistic regression analysis to investigate factors associated with improvement of LDL-c at the next measurement.

Results
Between February 2003 and December 2017, 250,749 LDL-c measurements were taken from 95,795 patients, of whom 23,932 had a history of CVD. At the time of referral, 51% of patients had not reached their LDL-c target. A large proportion of patients (55%) had no follow-up LDL-c measurements. Most of the patients with repeated measurements showed no change in LDL-c levels over time: the transition probability to remain in the same category was up to 0.84. Sequence clustering analysis showed more women (odds ratio 1.18, 95% CI 1.07-1.10) in the cluster with both most measurements off target and the most LDL-c measurements furthest from the target. Timing of drug prescription was difficult to determine from our data, limiting the interpretation of results regarding medication management.

Conclusions
Routine care data can be used to provide feedback on quality of care, such as LDL-c target attainment. These routine care data show high off-target prevalence and little change in LDL-c over time. Registrations of diagnosis; follow-up trajectory, including primary and secondary care; and medication use need to be improved in order to enhance usability of the EHR system for adequate feedback.
Misinformation of COVID-19 on the Internet: Infodemiology Study
Authors: Cuan-Baltazar Jose Yunam , Muñoz-Perez Maria José , Robledo-Vega Carolina , Pérez-Zepeda Maria Fernanda , Soto-Vega Elena 
Published: April 2020

Background
The internet has become an important source of health information for users worldwide. The novel coronavirus caused a pandemic search for information with broad dissemination of false or misleading health information.

Objective
The aim of this study was to evaluate the quality and readability of online information about the coronavirus disease (COVID-19), which was a trending topic on the internet, using validated instruments and relating the quality of information to its readability.

Methods
The search was based on the term “Wuhan Coronavirus” on the Google website (February 6, 2020). At the search time, the terms “COVID-19” or “SARS-CoV-2” (severe acute respiratory syndrome coronavirus 2) did not exist. Critical analysis was performed on the first 110 hits using the Health on the Net Foundation Code of Conduct (HONcode), the Journal of the American Medical Association (JAMA) benchmark, the DISCERN instrument, and Google ranking.

Results
The first 110 websites were critically analyzed, and only 1.8% (n=2) of the websites had the HONcode seal. The JAMA benchmark showed that 39.1% (n=43) of the websites did not have any of the categories required by this tool, and only 10.0% (11/110) of the websites had the four quality criteria required by JAMA. The DISCERN score showed that 70.0% (n=77) of the websites were evaluated as having a low score and none were rated as having a high score.

Conclusions
Nonhealth personnel and the scientific community need to be aware about the quality of the information they read and produce, respectively. The Wuhan coronavirus health crisis misinformation was produced by the media, and the misinformation was obtained by users from the internet. The use of the internet has a risk to public health, and, in cases like this, the governments should be developing strategies to regulate health information on the internet without censuring the population. By February 6, 2020, no quality information was available on the internet about COVID-19.
Childhood adversity, mental health and suicide (CHASE): a protocol for a longitudinal case-control linked data study
Authors: Dougall Nadine J , Savinc Jan , Maxwell Margaret , Karatzias Thanos , O'Connor Rory C , Williams Brian , Grandison Graeme , John Ann , Cheyne Helen , Fyvie Claire , Bisson Jonathan I , Hibberd Carina , Abbott-Smith Susan , Nolan Liz 
Published: April 2020

IntroductionSuicide is a tragic outcome with devastating consequences. In 2018, Scotland experienced a 15% increase in suicide from 680 to 784 deaths. This was marked among young people, with an increase of 53% in those aged 15-24, the highest since 2007. Early intervention in those most at risk is key, but identification of individuals at risk is complex, and efforts remain largely targeted towards universal suicide prevention strategies with little evidence of effectiveness.
Recent evidence suggests childhood adversity is a predictor of subsequent poor social and health outcomes, including suicide. This protocol reports on methodology for harmonising lifespan hospital contacts for childhood adversity, mental health, and suicidal behaviour. This will inform where to 1) focus interventions, 2) prioritise trauma-informed approaches, and 3) adapt support avenues earlier in life for those most at risk.
MethodsThis study will follow a case-control design. Scottish hospital data (physical health SMR01; mental health SMR04; maternity/birth record SMR02; mother’s linked data SMR01, SMR04, death records) from 1981 to as recent as available will be extracted for people who died by suicide aged 10-34, and linked on Community Health Index unique identifier. A randomly selected control population matched on age and geography at death will be extracted in a 1:10 ratio. International Classification of Disease (ICD) codes will be harmonised between ICD9-CM, ICD9, ICD10-CM and ICD10 for childhood adversity, mental health, and suicidal behaviour.
ResultsICD codes for childhood adversity from four key studies are reported in two categories, 1) Maltreatment or violence-related codes, and 2) Codes suggestive of maltreatment. ‘Clinical Classifications Software’ ICD codes to operationalise mental health codes are also reported. Harmonised lifespan ICD categories were achieved semi-automatically, but required labour-intensive supplementary manual coding. Cross-mapped codes are reported.
ConclusionsThere is a dearth of evidence about touchpoints prior to suicide. This study reports methods and harmonised ICD codes along the lifespan to understand hospital contact patterns for childhood adversity, which come to the attention of hospital practitioners.