Miracle-dz/UniFAR-FTUs huggingface dataset:
Type IV Collagen and Corneal Epithelial Adhesion and Migration Effects of Type IV

Type IV collagen, a 500-kilodalton (al)2(a2), heterotrimer with noncollagenous domains (NCI) is the major molecule in most basement membranes in the body. In addition to its structural role as scaffolding, type IV collagen is involved in promoting adhesion and migration of various cell types in vitro, including rabbit corneal epithelial cells. This study assessed the effect of purified proteolytic fragments of type IV collagen and selected synthetic peptides derived from the a l and al chains that are related to the adhesion and directed migration of dissociated primary cultured rabbit epithelial cells. Two homologous peptides (HEP-1 and HEP-2) derived from a, and a2 NCI regions were found to promote epithelial cell adhesion. A peptide (HEP-3) derived from an interruption of the triple helix of type IV collagen was effective in promoting corneal epithelial cell migration in both chemotaxis and haptotaxis assays. The helical fragment of type IV collagen promoted both directed migration and ample adhesion, indicating that there may be at least another moiety in the helical region responsible for cell adhesion. The results with these peptides revealed to some extent how corneal epithelial cells react at the molecular level with type IV collagen. They could serve as the basis for therapeutic agents to modify corneal epithelial behavior in situations of perturbed wound healing. Invest Ophthalmol Vis Sci 32:2766-2773,1991
Taking a step back for a leap forward: policy formation for the digitalisation of schools from the views of Swedish national policymakers

ABSTRACT The modest impact of national policy efforts on school digitalisation relates to a gap between views among policy-makers and practitioners, giving rise to complexity in translating policy into action. Acknowledging changes in governing through alternative policy formation-processes, and Ward and Parr’s (2011) arguing for the importance of strategic- and operational policy coherence, the focus of this paper is the forming of a national plan of action for the digitalisation of schools in Sweden (#skolDigiplan). Within this interview study, the views on policy work and challenges of digitalisation of schools are explored among an exclusive management group of non-traditional Swedish policy-makers appointed to produce the #skolDigiplan. Based on the findings, I conclude that national policy making regarding the digitalisation of schools may be conducted through a collective process, with several educational stakeholders contributing. Furthermore, I suggest that non-traditional national policy-makers, arguing a lack of digital competence knowledge concerning schools at the governing or authority level, may consider taking a step back in the policy-formation process as a supportive action. Teacher training programmes, despite being portrayed as important for the policy outcome, were declared distant in this policy process.
Microwave-assisted Kornblum oxidation of organic halides

Microwave-assisted Kornblum oxidation is proved to be an effective way to obtain aldehyde and ketones from their corresponding chlorides. Under microwave irradiation, not only the reaction time was greatly decreased, due to avoiding the by-product, the yield was increased. It is noteworthy that the scope of the method was broadly expanded.
Risk Spillover during the COVID-19 Global Pandemic and Portfolio Management

This paper aims to examine the volatility spillover, diversification benefits, and hedge ratios between U.S. stock markets and different financial variables and commodities during the pre-COVID-19 and COVID-19 crisis, using daily data and multivariate GARCH models. Our results indicate that the risk spillover has reached the highest level during the COVID-19 period, compared to the pre-COVID period, which means that the COVID-19 pandemic enforced the risk spillover between U.S. stock markets and the remains assets. We confirm the economic benefit of diversification in both tranquil and crisis periods (e.g., a negative dynamic conditional correlation between the VIX and SP500). Moreover, the hedging analysis exhibits that the Dow Jones Islamic has the highest hedging effectiveness either before or during the recent COVID19 crisis, offering better resistance to uncertainty caused by unpredictable turmoil such as the COVID19 outbreak. Our finding may have some implications for portfolio managers and investors to reduce their exposure to the risk in their portfolio construction.
Impact of Before and After Photographs on Parents of Children With Cleft Lip

Introduction: Cleft lip with or without palate (CL/P) is a common facial deformity requiring surgical intervention whose aesthetic outcomes are typically represented by Before and After Photographs (BAPhotos). With the growing presence of social media, there are concerns about the role of BAPhotos in plastic surgery and their impact on patient’s expectations. Methods: A retrospective analysis of quality assurance survey and interview data was conducted to explore the impact of BAPhotos on parents and their expectations in the context of CL/P. Results: Thirty-five parents were interviewed regarding use of BAPhotos; 91% viewed BAPhotos on the following platforms: Google (n = 26), Facebook (n = 8), Instagram (n = 4), YouTube (n = 4), Snapchat (n = 1), and Other (n = 11). Half of the parents believed that BAPhotos influenced their treatment expectations and these parents were not less satisfied with their child’s surgical outcome than those who did not perceive being influenced (Mann-Whitney U = 124.5, P = .05). A higher proportion of parents who viewed BAPhotos on social platforms felt that their treatment expectations were influenced by BAPhotos (χ2, X (df = 1) = 4.49, P = . 03). Thematic analysis revealed that parents’ emotional reaction to BAPhotos was shaped by the context of the photos; photos on social platforms that include patient stories (ie, Instagram, Facebook) were more often sources of emotional support. Conclusion: This study furthers our understanding of the impact BAPhotos have on parents of children with CL/P and areas of education regarding the dissemination of BAPhotos which have the potential to positively impact viewing of these photos.
Origin of Metals around Galaxies. I. Catalogs of Metal-line Absorption Doublets from High-resolution Quasar Spectra

We present the first paper of the series Origin of Metals around Galaxies, which aims to explore the origin of the metals observed in the circumgalactic and intergalactic media. In this work we extract and build catalogs of metal absorbers that will be used in future analyses, and make our results publicly available to the community. We design a fully automatic algorithm to search for absorption metal-line doublets of the species C iv, N v, Si iv, and Mg ii in high-resolution (R ≳ 30,000) quasar spectra without human intervention, and apply it to the high-resolution and signal-to-noise ratio spectra of 690 quasars, observed with the UVES and HIRES instruments. We obtain 5656 C iv doublets, 7919 doublets of Mg ii, 2258 of Si iv, and 239 of N v, constituting the largest high-resolution metal-doublet samples to date, and estimate the dependence of their completeness and purity on various doublet parameters such as equivalent width and redshift, using real and artificial quasar spectra. The catalogs include doublets with rest-frame line-equivalent widths down to a few mÅ, all detected at a significance above 3σ, and covering the redshifts between 1 < z ≲ 5, properties that make them useful for a wide range of chemical evolution studies.
ANALISIS PREDIKSI TIMBULAN SAMPAH DI KECAMATAN JEKAN RAYA

Peningkatan pertumbuhan penduduk yang semakin pesat dan aktivitas masyarakat yang semakin berkembang menimbulkan dampak sosial yang tidak mudah diselesaikan secara baik dan tuntas, seperti permasalah yang ditimbulkan oleh kegiatan transportasi, lingkungan dan persampahan. Permasalahan persampahan khususnya seperti yang terjadi di Kecamatan Jekan Raya Kota Palangka Raya yang masalah persampahannya harus terlayani dengan baik, bila tidak tertangani dengan baik maka tidak menutup kemungkinan Kecamatan Jekan Raya menjadi kotor, karena sampah yang dihasilkan mencapai ± 73,86 ton/hari. Oleh karena itu peneliti ini bertujuan untuk prediksi timbulan sampah yang berpengaruh terhadap jumlah armada pengangkut sampah dalam 5 tahun kedepan. Pengangkutan dengan metode HCS (Hauled Container System) pemindahan sampah dari sumber dengan tingkat penimbunan sampah yang tinggi diharapkan dapat mengatasi permasalahan pengangkutan sampah. Pengumpulan data dilakukan dengan survei ke lapangan dan dianalisis menggunakan metode empiris. Proyeksi pertambahan jumlah penduduk pada tahun 2025 adalah 180.054 jiwa, perhitungan berdasarkan peraturan MENLHK jumlah timbulan sampah pada tahun 2025 adalah 32.859,9 ton/tahun, sedangkan perhitungan berdasarkan persamaan regresi linear sederhana pada tahun 2025 adalah 32.859 ton/tahun. Kenaikan jumlah timbulan sampah dari tahun 2020 sampai dengan tahun 2025 mencapai 5.244 ton, dengan persentase 19%. Berdasarkan perhitungan kebutuhan untuk 5 tahun ke depan diperlukan 7 bak kontainer dan 1 unit armada arm roll truck.
Comparing Statistical and Semi-Distributed Rainfall–Runoff Models for a Large Subtropical Watershed: A Case Study of Jiulong River Catchment, China

In this contribution, the authors present their preliminary investigations into modeling the rainfall–runoff generation relation in a large subtropical catchment (Jiulong River catchment) on the southeast coast of China. Previous studies have mostly focused on modeling the streamflow and water quality of its small rural subcatchments. However, daily runoff on the scale of the whole catchment has not been modeled before, and hourly runoff data are desirable for some oceanographic applications. Three methods are proposed for modeling streamflow using rainfall outputted by the Weather Research Forecast (WRF) model, calculated potential evaporation (PET), and land cover type: (i) a ridge regression model; (ii) NPRED-KNN: a nonparametric k-nearest neighbor model (KNN) employing a parameter selection method (NPRED) based on partial information coefficient; (iii) the Hydrological Simulation Program-Fortran (HSPF) model with an hourly time step. Results show that the NPRED-KNN approach is the most unsuitable method of those tested. The HSPF model was manually calibrated, and ridge regression performs no worse than HSPF based on daily verification, whilst HSPF can produce realist daily flow time series, of which ridge regression is incapable. The HSPF model seems less prone to systematic underprediction when replicating monthly-annual water balance, and it successfully replicates the baseflow index (the flow intensity) of the Jiulong River catchment system.
Review of Enhanced Oil Recovery Decision Making in Complex Carbonate Reservoirs: Fluid Flow and Geomechanics Mechanisms

As a result of reduction trend in exploration of super-giant carbonate fields and depletion of the proven mature fields categorized as easy oil, development of tight, deep carbonates with more complexities in reservoir rock and fluid behavior have become of interest for exploration and development companies in recent years. New challenges have arisen in development of complex carbonates due to fracture network distribution uncertainty, lateral and vertical fluid behavior heterogeneities, unstable asphaltene content, high H2S and CO2 contents and high salinity formation brine. The complexity elements and problems for downhole sampling have made the full understanding of the reservoir behavior and consequently availability of data for further routine analysis and utilization of simulation model as the main way of data integration limited. Therefore, there is an emerging need to better understand the challenges surrounding production and enhanced oil recovery strategies in these reservoirs for an improved oil recovery decision making system. In this paper, the challenges in production, stimulation and enhanced oil recovery strategies in newly-developed complex carbonates are addressed and analyzed based on the changes to the chemical and mechanical environment. An integrated decision-making workflow based on coupled hydro-mechanical mechanisms in water-based EOR methods is discussed.
The Effect of Shopping Lifestyle, Fashion Involvement and Sales Promotion on Positive Emotions

The purpose of this study was to determine the effect of Shopping Lifestyle, Fashion Involvement and Sales Promotion on Impulse Buying with Positive Emotion as an Intervening Variable in the Consumer of Bukalapak Online Shop in Bekasi. Data collection techniques with distributing questionnaires based on The maximum likelihood estimation (MLE) technique is 150 respondents. At the analysis stage, analysis of the validity and reliability test, normality test, Analysis of Structural Equation Model (SEM), Validity Test of Convergence, and Model Causality Test. The results showed thatShopping Lifestyle for Positive Emotion, Sales Promotion for Positive Emotion, Positive Emotion for Impulse Buying, Shopping Lifestyle for Impulse Buying through Positive Emotion and Sales Promotion for Impulse Buying through Positive Emotion are influential in this study. Meanwhile, the variable Fashion Involvement on Positive Emotion and Fashion Involvement on Impulse Buying through Positive Emotion had no effect in this study.
National Carbon Accounting—Analyzing the Impact of Urbanization and Energy-Related Factors upon CO2 Emissions in Central–Eastern European Countries by Using Machine Learning Algorithms and Panel Data Analysis

The work at hand assesses several driving factors of carbon emissions in terms of urbanization and energy-related parameters on a panel of emerging European economies, between 1990 and 2015. The use of machine learning algorithms and panel data analysis offered the possibility to determine the importance of the input variables by applying three algorithms (Random forest, XGBoost, and AdaBoost) and then by modeling the urbanization and the impact of energy intensity on the carbon emissions. The empirical results confirm the relationship between urbanization and energy intensity on CO2 emissions. The findings emphasize that separate components of energy consumption affect carbon emissions and, therefore, a transition toward renewable sources for energy needs is desirable. The models from the current study confirm previous studies’ observations made for other countries and regions. Urbanization, as a process, has an influence on the carbon emissions more than the actual urban regions do, confirming that all the activities carried out as urbanization efforts are more harmful than the resulted urban area. It is proper to say that the urban areas tend to embrace modern, more green technologies but the road to achieve environmentally friendly urban areas is accompanied by less environmentally friendly industries (such as the cement industry) and a high consumption of nonrenewable energy.
The Challenges of Promoting Social Inclusion through Sport: The Experience of a Sport-Based Initiative in Italy

Social inclusion is broadly recognized as a priority to accomplish at an international level. While the influence of sport toward this social mission has been largely debated, literature lacks contributions capturing the challenges of sport when promoting social inclusion. Based in case study methodology, the investigation explores the impact of a multi-stakeholder sport initiative developing social inclusion for socially vulnerable youth and the related challenges of the intervention through in-depth interviews with diverse program stakeholders. The main findings indicated the emergence of four challenges: limited transferability of program outcomes for youth in living conditions of severe vulnerability; drop-out of youth in living conditions of severe vulnerability; limited sustainability of program social workers; lack of sports club management skills. The work highlights some limits of sport-based programs for social inclusion and discusses some implications for practice to maximize the societal impact of such interventions.
Natural Language Processing of Radiology Text Reports: Interactive Text Classification.

This report presents a hands-on introduction to natural language processing (NLP) of radiology reports with deep neural networks in Google Colaboratory (Colab) to introduce readers to the rapidly evolving field of NLP. The implementation of the Google Colab notebook was designed with code hidden to facilitate learning for noncoders (ie, individuals with little or no computer programming experience). The data used for this module are the corpus of radiology reports from the Indiana University chest x-ray collection available from the National Library of Medicine's Open-I service. The module guides learners through the process of exploring the data, splitting the data for model training and testing, preparing the data for NLP analysis, and training a deep NLP model to classify the reports as normal or abnormal. Concepts in NLP, such as tokenization, numericalization, language modeling, and word embeddings, are demonstrated in the module. The module is implemented in a guided fashion with the authors presenting the material and explaining concepts. Interactive features and extensive text commentary are provided directly in the notebook to facilitate self-guided learning and experimentation with the module. Keywords: Neural Networks, Negative Expression Recognition, Natural Language Processing, Computer Applications, Informatics © RSNA, 2021.
Estimation of nonparametric ordinal logistic regression model using local maximum likelihood estimation

Ordinal logistic regression is a statistical method used to analyze the ordinal response variable with three or more categories and predictor variables that are categorical or continuous. The parametric models for ordinal response variable assume that the predictor is given by a linear form of covariates. In this study, the parametric models are extended to include smooth components based on nonparametric approach. The covariates are modeled as unspecified but smooth functions. Estimation is based on local maximum likelihood estimation (LMLE).
Synthesis of Ag/ZnO Photocatalysts for the Photodegradation of Methyl Orange Dye

ZnO and a series of Ag/ZnO photocatalysts were prepared by a precipitation- irradiation method and their photocatalytic performance in photodegradation of methyl orange dye was evaluated. The physicochemical properties of the catalysts were characterized by various characterization techniques. The photocatalysts have a hexagonal phase and were highly agglomerated. TEM images showed a change in morphology of ZnO from rod to nearly spherical with the addition of Ag. Ag/ZnO catalysts exhibited better photocatalytic activity in the degradation of methyl orange compared to pure ZnO. Ag/ZnO contains 2% silver shows the best performance as photocatalyst.
All optical Haar transform based on planar waveguides

With the evolution of the human needs in the last years, data transmission and storage for video and media applications have grown exponentially, demanding the search of new solutions for optimizing the bandwidth. In order to have faster image processing, compression methods are fundamental tools to decrease the redundant data. Among several transformation techniques for compression, wavelet-based transforms are the trendiest ones because of its simplicity and fast computation. Concerning this approach and given the advantages, all-optical image processing is here performed based on Haar Transform. Since this wavelet transform has shown its benefits when compared to other methods, its implementation in optical guided structures is mandatory. In this context, Photonic Integrated Circuit (PIC) is introduced since it can include different components into a single optical chip. Between the extensive list of building blocks (BBs) available for this photonic integration, the Multimode Interference (MMI) structure is presented as a possible solution to perform the optical Haar wavelet transform. The development of such a structure was done likewise its implementation into a PIC, performing the first order Haar. Using the BBs from a specific foundry, a layout of the circuit from an adapted Haar Transform solution was also made.
Symposium on ‘ Diet and bone health ’ Importance of calcium , vitamin D and vitamin K for osteoporosis prevention and treatment

Throughout the life cycle the skeleton requires optimum development and maintenance of its integrity to prevent fracture. Bones break because the loads placed on them exceed the ability of the bone to absorb the energy involved. It is now estimated that one in three women and one in twelve men aged >55 years will suffer from osteoporosis in their lifetime and at a cost in the UK of >£1.7 · 10 per year. The pathogenesis of osteoporosis is multifactorial. Both the development of peak bone mass and the rate of bone loss are determined by key endogenous and exogenous factors. Ca supplements appear to be effective in reducing bone loss in women late post menopause (>5 years post menopause), particularly in those with low habitual Ca intake (<400 mg/d). In women early post menopause (<5 years post menopause) who are not vitamin D deficient, Ca supplementation has little effect on bone mineral density. However, supplementation with vitamin D and Ca has been shown to reduce fracture rates in the institutionalised elderly, but there remains controversy as to whether supplementation is effective in reducing fracture in free-living populations. Re-defining vitamin D requirements in the UK is needed since there is evidence of extensive hypovitaminosis D in the UK. Low vitamin D status is associated with an increased risk of falling and a variety of other health outcomes and is an area that requires urgent attention. The role of other micronutrients on bone remains to be fully defined, although there are promising data in the literature for a clear link between vitamin K nutrition and skeletal integrity, including fracture reduction.
Cognitive principle of foregrounding in the mass-media

Submitted: 27 March 2021 Revised: 18 April 2021 Accepted: 7 May 2021 In this article, the cognitive principles of prioritizing the media, the media the institutions that collect all the information about what is happening, process it, and provide it to the public as news, sometimes referred to as media communications, and similar information is discussed. In particular, ensuring freedom of information and speech, liberalization of this area has been identified as an important priority in building a democratic, legal state and a strong civil society in Uzbekistan. In 1991, there were 395 media outlets in Uzbekistan, but today their number has reached 1,437.
Interferon Regulatory Factor 3 (IRF3) Characterisation in Four Mammalian Species Using Bioinformatics Method

IRF3 has gained recognition as a key transcriptional regulator of type1 interferon (IFN) gene expression which induces response to pathogenic infection. The advancement in technology and molecular biology has led to bioinformatics, this field is widely accepted because it is effective and saves time. This study made use of bioinformatics approach to identify and characterize IRF3 in four mammalian species namely: cattle, rabbit, pig and water buffalo. Evolutionary relationships inferred among the IRF3 of four mammalian and other species showed a high level of relatedness. Leucine was the most abundant residue while serine which plays a major role in maintenance of a healthy immune system was present in all the species. The information obtained in this study could serve as a guide when using the IRF3 gene as a marker to select animals for disease resistance because of the critical role they play in antiviral defense.