Miracle-dz/UniFAR-FTUs huggingface dataset:
Long-term prognosis and a nomogram model for postoperative acute heart failure in patients with acute myocardial infarction

Background Undefined adequate hydration may increase the risk of postoperative acute heart failure (AHF) while reducing the risk of contrast-induced acute kidney injury (CI-AKI) in patients with acute myocardial infarction (AMI). No relevant study exists regarding the association of postoperative AHF and long-term prognosis. This study is to evaluate the all-cause long-term mortality and establish a nomogram model for predicting postoperative AHF in this patient group. Methods In this prospective observational study, 1312 AMI patients undergoing coronary angiography (CAG) were included in the final analysis. Patients were assigned into a non-postoperative AHF-group (n=1235) or a postoperative AHF-group (n=77). The diagnosis of postoperative AHF was based on assessing symptom history, prior cardiovascular history, and potential cardiac and non-cardiac precipitants. Results The overall incidence of postoperative AHF was 77/1312 (5.9%). The incidence of all-cause long-term mortality was significantly higher in the postoperative AHF-group than in the non-postoperative AHF-group (50.6% vs. 17.0%, P<0.01). The median follow-up period was 7.0 years (interquartile range: 5.5 – 8.7). After adjusting for female, LVEF, eGFR, anemia, hypertension, diabetes mellitus, and PCI, postoperative AHF was the strongest predictor of all-cause long-term mortality (hazard ratio: 3.11; 95% CI: 1.83 – 5.30; P<0.01). A nomogram developed based on the four variables was with the AUC 0.83 on internal validation. Calibration curve showed that the predicted and actual probabilities of postoperative AHF were fitted well. Conclusions In patients with AMI undergoing CAG, postoperative AHF is the strongest predictor of all-cause long-term mortality. The nomogram showed an effective value of predicting postoperative AHF using preoperative predictions.
Examining severity and centrality effects in TestDaF writing and speaking assessments: An extended Bayesian many-facet Rasch analysis

Abstract Severity and centrality are two main kinds of rater effects posing threats to the validity and fairness of performance assessments. Adopting Jin and Wang’s (2018) extended facets modeling approach, we separately estimated the magnitude of rater severity and centrality effects in the web-based TestDaF (Test of German as a Foreign Language) writing and speaking assessments using Bayesian MCMC methods. The findings revealed that (a) the extended facets model had a better data–model fit than models that ignored either or both kinds of rater effects, (b) rating scale and partial credit versions of the extended model differed in terms of data–model fit for writing and speaking, (c) rater severity and centrality estimates were not significantly correlated with each other, and (d) centrality effects had a demonstrable impact on examinee rank orderings. The discussion focuses on implications for the analysis and evaluation of rating quality in performance assessments.
Merging Web Tables for Relation Extraction With Knowledge Graphs

We propose methods for extracting triples from Wikipedia’s HTML tables using a reference knowledge graph. Our methods use a distant-supervision approach to find existing triples in the knowledge graph for pairs of entities on the same row of a table, postulating the corresponding relation for pairs of entities from other rows in the corresponding columns, thus extracting novel candidate triples. Binary classifiers are applied on these candidates to detect correct triples and thus increase the precision of the output triples. We extend this approach with a preliminary step where we first group and merge similar tables, thereafter applying extraction on the larger merged tables. More specifically, we propose an observed schema for individual tables, which is used to group and merge tables. We compare the precision and number of triples extracted with and without table merging, where we show that with merging, we can extract a larger number of triples at a similar precision. Ultimately, from the tables of English Wikipedia, we extract 5.9 million novel and unique triples for Wikidata at an estimated precision of 0.718.
Screening, Prevention and Treatment of COVID-19 with Special Reference to African-Americans

Viruses mutate all the time, and the coronavirus that causes COVID-19 is no exception. As new variants of the COVID-19 emerge, a slew of new studies suggest that some may be able to evade immune responses triggered by a previous infection or by a vaccine. The novel variants of SARS-CoV-2 including those seen in the UK (2OI/5O1Y.V1/B.1.1.7), South Africa (2OH/5O1Y.V2/B.1.351), Brazil (P.1/2OJ/5O1Y.V3/B.1.1.248) have emerged with the concern of increased infectivity and virulence. Scientists are working to learn more about the characteristics of these strains whether they could cause more severe illness, and whether currently authorized vaccines will protect people against them. All viruses naturally mutate and evolve over time. For example, flu virus change often, which is why doctors recommend that you get a flu shot every year. Various mRNA vaccine platforms have been developed in recent years and validated in studies of immunogenicity and efficacy.
The Relationship of Work Life Balance and the Quality of Life among Employees Studying Part Time

In this modern day, higher levels of qualifications are increasing in order to gain knowledge and competency and at the same time to gain salary and promotion within existing employment. Even though there are many benefits of studying part-time while working, there are also challenges behind it. In general, employees who study part time are probably to have jobs and families and may consequently experience challenges juggling many different life priorities. Hence, this study aims to identify the relationship of work life balance and the quality of life among employees studying part time. This is a correlational research utilizing quantitative method. 60 respondents from Universiti Malaysia Sarawak (UNIMAS), Universiti Utara Malaysia (UUM), Open University Malaysia (OUM) dan Universiti Teknologi Mara (UiTM) were recruited as respondents and purposive sampling technique is used. The data collected has been look over using Spearman Rank-Order Correlation Test. The results of this study showed that there is a significant correlation between work-family conflict and the quality of life among employees studying part time and between family-work enrichment and the quality of life among employees studying part time. Other than that, this study is important to employers as findings in this research expects to help organizations and universities to create a strategy to support work-life balance among the employees studying part time. Keywords: Work-Life Balance, Work-Family Conflict, Family-Work Conflict, Work-Family Enrichment, Family-Work Enrichment, Quality of Life, Employees Studying Part Time
Visualized Analysis Model for Hadoop Business Data

With the social development, we are stepping into an information technology world. In such a world, our life is getting more and more diversified and rich because of e-business. E-business not only provides us convenience but also large amounts of business data. However, how shall we better store, manage and use these business data has become a major field being studied by e-business. With the rapid growth of data volume, the relational database system cannot meet the requirements of the current status. In this paper, focusing on the visualized analysis model of Hadoop business data, it analyzed the business data in terms of the visualized platform, database and analysis model etc. Depending on the analysis, offline-data analysis and data visualization for Hive database will be greatly improved, so that references and suggestions can be provided for the visualized analysis model of Hadoop business data.
1,2-Dichloroethane Deep Oxidation over Bifunctional Ru/CexAly Catalysts

Ru/CexAly catalysts were synthesized with impregnation of RuCl3 aqueous solution on CexAly (Al2O3–CeO2) and used in 1,2-dichloroethane (1,2-DCE) oxidation. Characterization by X-ray diffraction, Raman, NH3-temperature-programmed desorption (TPD), CO2-TPD, X-ray photoelectron spectroscopy, and H2-temperature-programmed reduction indicates that CeO2 exists as a form of face-centered cubic fluorite structure, whereas the chemical states and the structure of Ru species are dependent on the Ce content. The reducibility and acidity of catalysts increase with Ce/Ce + Al ratio. However, the latter is promoted only in a Ce/Ce + Al range of 0–0.25 and then decreases quickly. Ru/CexAly catalysts have considerable activity for 1,2-DCE combustion. TOFRu of 1,2-DCE oxidation increases with strong acid, which is ascribed to a synergy of reducibility and acidity. Ru greatly inhibits the chlorination through the decreases in both Cl deposition and CH2=CHCl formation. High stability of Ru/Ce10Al90 maintains at 280 °C for at least 25 h with CO2 selectivity of 99% or higher. In situ Fourier transform infrared spectroscopy indicates that 1,2-DCE dissociates to form ClCH2–CH2O– species, which is an intermediate species for the production of CH3CHO and CH2=CHCl, the former responsible for deep oxidation.
Cytoprotection of Antioxidant Biocompounds from Grape Pomace: Further Exfoliant Phytoactive Ingredients for Cosmetic Products

The goal of this study was to investigate the efficacy and the safety of grape pomace (Vitis labrusca L.) obtained from the winemaking process as an antioxidant raw material for cosmetic formulations. Grape pomace was dried and submitted to extraction with solvents. The extracts were filtered and freeze-dried. The extraction carried out with 75% acetone-water showed a better yield (1.9 g·g−1). High performance liquid chromatography (HPLC) analysis confirmed the presence of ellagic acid as an active biocompound in the extracts. The Total phenolic content of freeze-dried extracts reached 69.83 ± 1.02 mg for 75% acetone-water system. Antioxidant activity determined by the 2,2-Diphenyl-1-picrylhydrazyl (DPPH) method revealed there was no statistical difference between the extract (EC50 6.9 ± 0.21) and butylated hydroxytoluene (BHT) (EC50 7.6 ± 0.71). Results of cytotoxicity showed that extracts from grape pomace were safe, even at the highest concentration tested (200 mg·mL−1) against the 3T3 cell line. Scanning Electron Microscopy (SEM) analysis revealed that there were no morphological cell changes of cells treated. Cytoprotection of cells towards the oxidation promoted by the peroxide solution was observed in the lowest concentration tested (0.73 mg·mL−1). Grape pomace from the winemaking process revealed a significant antioxidant activity attributed to its biocompounds. The safety and efficacy of extracts of grape pomace as raw material for cosmetic formulations was proposed through cell culture assays.
Drones in Wonderland – Disentangling Collocated Interaction Using Radical Form

We propose the use of radical drone form to modify collocated Human-Drone Interaction (HDI) experiences. Our work suggests that due to the lack of collocated interactive experiences with flying entities, people are more likely to follow HDI metaphors that are not necessarily realistic, and instead relate to the realms of myth, magic, and fantasy. We motivate this interaction design opportunity and contribute a set of collocated HDI design variables that help utilize it. To further investigate our approach, we present the results of two user studies, one using static stimuli (N = 97) and one immersive experience (N = 20), around various drone forms. Our findings suggest that form strongly impacts the ways people perceive drones and their roles. We conclude by reflecting on people’s interactive experiences with radical drone forms and a set of derived implications for Human-Drone Interaction design.
Tasks of IT Managers: Empirical Research Based on Job Advertisements in Germany

Companies are more and more dependent on information technology (IT) and the buzzword digitization is present everywhere. Some companies are inventing new business models based on disruptive innovation supported by information technology. Others adapt these business models as followers. All these new business processes and underlying information technology need to be managed, serviced and supported by IT organizations to ensure business continuity. In the current research, job advertisements have been analyzed to investigate what task and responsibilities IT Managers are confronted with, when they enter a new position. The main findings are that still the main tasks seem to be managing of IT applications and IT infrastructure. Interestingly management of information and IT-trend and IT-technology scouting are underrepresented. This low representation is in harsh contrast to the fact that public press is talking about the age of Big Data, Deep Learning and artificial intelligence. These technologies arey are dependent on data and technology. Business-IT-Alignment and other IT management tasks are mentioned with a medium frequency in the findings.
Assessment of genetic structure and diversity of Erodium (Geranaiceae) species

Erodium Aiton (Geraniaceae) with 75 species is distributed in all continents except Antarctic. Its main diversification center is Mediterranean region with 62 species. The genetic diversity was assessed through Sequence-related amplified polymorphism. To uncover genetic diversity and species characteristics in Erodium species, were studied through a combination of morphological and molecular data. 70 individuals related to seven Erodium were collected in 7 provinces. A total of 96 (Number of total loci) (NTL) DNA bands were produced through polymerase chain reaction amplifications (PCR) amplification of seven Erodium species. These bands were produced with the combinations of six selective primers. The total number of amplified fragments ranged from 10 to 25. The genetic similarities between seven species are estimated from 0.70 to 0.85. Clustering results showed two major clusters. This study also detected a significant signature of isolation by distance (Mantel test results). Present results showed that sequence-related amplified polymorphism have the potential to identify and decipher genetic affinity in Erodium species. Current results have implications in biodiversity and conservation programs. Besides this, present results could pave the way for selecting suitable ecotypes for forage and pasture purposes in Iran.
Biochemical changes during Seed development and maturation in little millet cv.CO (Samai) 4

Study on seed development and maturation studies in little millet revealed that optimum stage of physiological maturity was attained at 40 days after anthesis (DAA). The individual panicles of bulk crop raised in the field and were tagged at the time of flower opening. The panicles were collected at 5 days intervals up to 45 DAA and subjected to the biochemical changes viz., electrical conductivity, leachate amino acid content, leachate sugars, protein content and dehydrogenase activity in seeds. Biochemical parameters were superior in the seeds collected at 40 DAA.
Spectroscopic characterization and performance of novel triplet state enhanced molecules for optical power limiting

Finding molecules with good optical power limiting (OPL) performance is of great importance for the use in OPL filters made for protecting against harmful lasers used in an expanding set of technologies. In this thesis, the OPL performance and its underlying mechanisms are investigated for three unstudied molecules of so called fluorenes, functionalized to have a triplet state central group. I abbreviate these molecules A, B and C. A previously studied molecule, PtOEP, is also investigated. The results are presented and discussed, in light of the five-level model. The OPL performance of A, B and C is measured with an intensity scanning setup and the results indicate C as the best performer. A large difference in triplet state emission and a forbidden S0T1 transition separates C from A and B. This makes triplet reverse saturable absorption (RSA) the OPL mechanism that makes C outperform the other molecules. The contribution of singlet RSA and two photon absorption (TPA) to the OPL performance still have to be further characterized in terms of TPA, in order to obtain a full understanding of the underlying mechanisms. The OPL results are also devalued by the appearance of nonlinear scattering, apparently caused by the formation of small plasma bubbles in the solvent at high fluences.
mT-Share: A Mobility-Aware Dynamic Taxi Ridesharing System

Due to the wide availability of taxis in a city and the tremendous benefits of ridesharing, taxi ridesharing becomes promising and attractive in recent years. Existing taxi ridesharing schemes simply match ride requests and taxis based on partial trip information and omit the offline passengers, who will hail a taxi at the roadside without submitting the ride requests to the system. Thus, they are still not efficient and practical. In this article, we consider the mobility-aware taxi ridesharing problem and present mT-Share to address these limitations. mT-Share fully exploits the mobility information of taxis and ride requests to achieve efficient indexing of taxis/requests and better passenger–taxi matching, while still satisfying the constraints on passengers’ deadlines and taxis’ capacities. Specifically, mT-Share makes use of both geographical information and travel directions to index taxis and ride requests and supports the shortest path-based routing and probabilistic routing to serve both online and offline ride requests. In addition, mT-Share proposes a novel payment model to share the ridesharing benefits among the taxi driver and passengers. Extensive evaluations using a large real-world taxi data set demonstrate the efficiency and effectiveness of mT-Share, which can respond each ride request in milliseconds and be with moderate detour costs and passengers’ waiting time. Compared to state-of-the-art schemes, mT-Share can serve 42% and 62% more ride requests in peak and nonpeak hours, respectively. Furthermore, mT-Share can save 8.6% taxi fare for passengers and meanwhile increase 7.8% incomes for taxi drivers, when compared with the regular taxi services.
Improvement in Efficiency of The State-Of-The-Art Handwritten Text Recognition Models

In the past few years, the research in the discipline of Handwritten Text Recognition (HTR) has been fast-tracked as many researchers in computer vision are pursuing this discipline. Most of the deep learning models are likely to have vanishing gradient errors when processing paragraph images like scanned images. The most crucial problem with these models is that they have many parameters, which require a large amount of data and resources. So, the most recent offline HTR follows the Convolutional Recurrent Neural Network (CRNNs). Recently developed neural network architecture was used to get better results, namely Gated Convolutional Neural Network (Gated-CNN), which has fewer layers and parameters. The HTR based on Gated-CNN can outperform the CRNN based HTR. This research surpasses the state-of-the-art HTR system on five different handwritten datasets: Bentham, IAM, RIMES, Saint Gall, and Washington. This research needs low computational resources to use in real life, such as smartphones and robots.
A Novel Data-Driven Modeling Method for the Spatial–Temporal Correlated Complex Sea Clutter

The sea clutter, referred to as the time-varying radar backscatter from the ocean surface, plays a significant role in marine radar development. The ocean’s complex hydrodynamics cause it to exhibit non-Gaussian and nonstationary characteristics, which brings challenges in the sea clutter modeling, especially for establishing its spatial–temporal correlated and coherent model. In this article, a data-driven method based on the Koopman mode decomposition (KMD) is proposed for modeling spatial–temporal correlated complex sea clutter. The method decomposes the coherent sea clutter dynamic behavior in terms of Koopman modes and corresponding temporal patterns. Then, these spatiotemporal patterns are used to construct the sea clutter state over time according to the approximate solution. Furthermore, this proposed state-of-the-art data-driven approach is benchmarked by the measured sea clutter data from intelligent PIXel processing radar (IPIX). It is demonstrated that the proposed approach accurately models the complex sea clutter with actual statistic characteristics, phase information, and spatial–temporal correlations. The mean absolute error (MAE) and root mean square error (RMSE) between the obtained and actual sea clutter are only 0.1817 and 0.2349, respectively. This work offers a practical approach for modeling sea clutter, especially when the spatial–temporal correlation and coherence information is needed.
Evaluating the efficacy of human placental amnion membrane in combination with modified coronally advanced flap technique in the management of gingival recession: An interventional study

Aims and objectives: A common problem experienced by adults is the recession of the gingiva resulting in unpleasant appearance of their teeth. There are various techniques to achieve the gingival recession coverage (GRC). But, only few techniques such as connective tissue grafts, coronally advanced flap technique (CAF) have been proved effective in achieving 100% recession coverage. The present study aims at evaluating the efficacy of amnion membrane along with CAF in the management of GRC. Materials and methods: A total number of 10 patients with class I or class II gingival recession were included in the study. The clinical parameters such as Probing depth (PD), clinical attachment level (CAL), thickness of attached gingiva (TAG), width of keratinized gingiva (WKG), height of gingival recession (HGR), percentage of recession coverage (PRC) and recession coverage esthetic score (RCES) were measured at baseline, 3 months and 6 months post-operatively. The patients were treated using amnion membrane in combination with modified coronally advanced flap technique (MCAF). Results: The patients showed statistically significant improvement in all the clinical parameters at the 3 months and 6 months follow-up visit. 97.8% CRC was observed by the end of 6 months. Moreover, the RCES showed remarkable esthetic outcome at the post-operative 6 months visit. Conclusion: Modified coronally advanced flap technique produces excellent clinical outcomes in terms of GRC. The use of amnion membrane aids in faster healing and improves the TAG which is an important aspect for the long term stability of the results obtained. Keywords Amnion membrane, Coronally advanced flap, Gingival recession, Guided tissue regeneration, Recession coverage