Miracle-dz/UniFAR-FTUs huggingface dataset:
Towards a Real-time Usability Improvement Framework based on Process Mining and Big Data for Business Information Systems

Workflow improvement nowadays plays an important role in the selection process of supporting software. This is especially true in the context of user-centric development, where the usability of business information systems is a crucial characteristic of differentiation. However, automatically measuring the usability of such systems as well as their dynamic enhancement has not been studied before. This paper describes an approach to improve the usability of web-based information systems in real-time. Different concepts are presented, which build on data gathering methods from web analytics to provide log mechanisms for user interactions at a detailed level and subsequently process this data by means of data analytics and process mining methods. Concepts are then integrated into a comprehensive framework representing the main contribution of this paper. We evaluate our framework with a software prototype based on in-memory technologies developed in cooperation with a major German software company. Furthermore, we report on findings of a user study that was conducted in an exemplary use case scenario demonstrating dynamic workflow improvements to validate our research in a real-world setting.
The Relation Between Meal Frequency and Obesity in Adults

Obesity is one of the most common nutritional disorders. Some studies suggest that obesity may be related to eating patterns, such as meal frequency, temporal distribution of eating events during the day, meal skipping and the frequency of out of meals. Therefore, in this cross-sectional study was investigated the relationships between meal frequency, anthropometric measurements, energy-macro/micronutrient intakes and meal skipping frequency for 1829 volunteer (520 men, 1309 women) adults aged between 40 and 64 years old, from Ankara, Turkey. The median meal frequency of women and men were 4 and 3, respectively. Approximately 57% of men and 61% of women have skipped meals and 76.8% of them were skipped their lunch. The meal frequency positively correlated with waist/ hip ratio in women (p<0.05). Additionally, there were positively significant correlations between meal frequency and saturated fatty acids, fiber, vitamin A, tiamine, riboflavin, folate, vitamin B6, vitamin C, calcium, magnesium, iron and copper intake (p<0.05). As a conclusion, the data indicate that increased meal frequency may have a beneficial effect on micronutrients intakes and some anthropometric measurements among adults.
ConQuest : Real-Time Analysis of Congestion in Packet Queues Paper

Short-lived traffic surges can cause periods of unexpectedly high queue utilization. As a consequence, network operators are forced to deploy more expensive switches with larger, mostly under utilized packet buffers, or risk packet loss and delay. Instead, we argue that switches should detect congestion as it forms, and take corrective action on individual flows before the situation gets worse. This requires identifying the specific culprit flows responsible for the buildup, and marking, dropping, or rerouting the associated packets automatically in the data plane. However, collecting finegrained statistics about queue occupancy in real time is challenging, even with emerging programmable data planes. We present ConQuest, a system that identifies the flows causing queue buildup within the data plane. Our evaluations show that ConQuest accurately targets the responsible flows at the sub-millisecond level, achieving Precision and Recall of over 90% using about 2KB of switch memory. Additionally, we propose and implement a novel framework for analyzing queuing in legacy switches using link tapping and an off-path programmable switch running ConQuest.
Human Brain Single Nucleotide Polymorphism: Validation of DNA Sequencing

Genetic factors may be involved in the onset of neurodegenerative diseases like Alzheimer’s disease. In the case of the familial type, the disease is due to an inherited mutation at specific sites in three genes. Also, there are some genetic risk factors that facilitate the development of sporadic Alzheimer’s disease. All of these genetic analyses were performed using blood samples as a source of DNA. However, the presence of somatic mutations in the brain can be identified only using brain samples. In this review, we comment on a method that correctly identifies single nucleotide variations in the human brain and that can be used to validate high-through sequencing techniques. This method involves selective enrichment of the DNA population bearing the nucleotide variations, thereby facilitating posterior validation of the data by Sanger’s sequencing.
Aspiration and Preparation of African and Caucasian American High School Students Interested in Health Careers for the Years 1975, 1985 and 1995

This study investigated changes in selected measures of educational aspiration, preparation, and achievement of African and Caucasian American high school students for the years 1975, 1985, and 1995. A 5% sample of all ACT test takers for each of the years comprised the initial sample from which those high school students indicating a commitment for a health careers collegiate major were selected. Crosstabulation was used to present the data. In view of the large sample size statistical tests of inference were not considered necessary. In general, when comparing the three time periods, we found increased interest in health careers, higher levels of educational aspiration, greater interest in college IJ RaYm~nd Jones, ph,D. , The University of Iowa, Iowa Chy, ~, Get Rzonca> Ed.D. ~ Associate Professor, Planning, Policy and Leadership Studies, The University of low% Iowa City, IA. 1 45 1 Jones and Rzonca: American High School Students Interested in Health Careers Published by STARS, 1997 I preparatory programs, more science completed, and higher levels of achievement as measured by high school . -de point average and the ACT composite score. Women showed a greater increase than men for all variables. While there were some decIines between 1975 and 1985, the 1995 period was most favorable with the exception of Caucasian male ACT scores. We recommend continued vigilance in high school programing to avoid gender and minority stereotyping, concern for the nonbaccalaureate bound student and gratefully acknowledge the accomplishments of minorities and women. Health careers continue to provide interesting employment opportunities for the nation’s youth and adults. Employment options are typically well paid, challenging and provide one a sense of contribution to society. There is also the concern for sufficient numbers of well prepared high school students and adults to pursue health career opportunities. Previous research (Rzonca & Snider, 1995) recommended the need to separately assess the interests of minority and majority students over an extended time period. This study attempts to provide the trends which describe the health careers interests of African and Caucasian American high school students for the years 1975, 1985, and 1995. The data source comes from a 5’%0 national sample of ACT test takers in these years. The trends that are presented reflect this sample and data of the complete file of test takers, while the absolute numbers reflect 5% of the ACT test taking pool. This study concentrates on Caucasian high school students as the largest traditional group which participates in post secondary education and African American high school students, the largest minority
Epigenetics in Head and Neck Squamous Cell Carcinoma

In addition to the genetic information required to establish an organism, recent decades have unveiled a previously unknown type of chromatin modification, known as epigenetic, which is defined as heritable DNA changes that are not encoded in the sequence itself. Unlike genetic modifications, the epigenetic ones are reversible, and increasingly appear to serve fundamental roles in cell differentiation and development.
Expression of E-cadherin, vimentin and β-catenin in ameloblastoma and association with clinicopathological characteristics of ameloblastoma.

OBJECTIVE Ameloblastoma shows invasive growth and is susceptible to recurrence. This study aimed to detect the expression of E-Cadherin, Vimentin and β-Catenin (proteins related to epithelial mesenchymal transformation (EMT) in the ameloblastoma and to explore association with clinicopathological characteristics of ameloblastoma. METHODS Immunohistochemistry was employed to detect the protein expression of E-Cadherin, Vimentin and β-Catenin in the ameloblastoma, and its association with clinicopathological characteristics of ameloblastoma was further evaluated. RESULTS E-Cadherin expression was reduced or absent on the membrane of the peripheral columnar and cubic epithelial cells; Vimentin expression was high in the interstitium as well as epithelial cells in ameloblastoma; E-Cadherin expression was negatively related to Vimentin expression. β-catenin expression on the membrane of ameloblastoma epithelial cells reduced, but its ectopic expression was observed in the cytoplasm and/or nucleus. CONCLUSION EMT related proteins E-Cadherin, β-catenin and Vimentin are involved in the occurrence and development of ameloblastoma and these proteins can be used as biomarkers of invasiveness of ameloblastoma.
INFERENCE FOR SURVIVAL CURVES WITH INFORMATIVELY COARSENED DISCRETE EVENT-TIME DATA: APPLICATION TO ALIVE

In many prospective studies, including AIDS Link to the Intravenous Experience (ALIVE), researchers are interested in comparing event-time distributions (e.g., for human immunodeficiency virus seroconversion) between a small number of groups (e.g., risk behavior categories). However, these comparisons are complicated by participants missing visits or attending visits off schedule and seroconverting during this absence. Such data are interval-censored, or more generally, coarsened. Most analysis procedures rely on the assumption of non-informative censoring, a special case of coarsening at random that may produce biased results if not valid. Our goal is to perform inference for estimated survival functions
ECG Noise Filtering Using Online Model-Based Bayesian Filtering Techniques

The electrocardiogram (ECG) is a time-varying electrical signal that interprets the electrical activity of the heart. It is obtained by a non-invasive technique known as surface electromyography (EMG), used widely in hospitals. There are many clinical contexts in which ECGs are used, such as medical diagnosis, physiological therapy and arrhythmia monitoring. In medical diagnosis, medical conditions are interpreted by examining information and features in ECGs. Physiological therapy involves the control of some aspect of the physiological effort of a patient, such as the use of a pacemaker to regulate the beating of the heart. Moreover, arrhythmia monitoring involves observing and detecting life-threatening conditions, such as myocardial infarction or heart attacks, in a patient. ECG signals are usually corrupted with various types of unwanted interference such as muscle artifacts, electrode artifacts, power line noise and respiration interference, and are distorted in such a way that it can be difficult to perform medical diagnosis, physiological therapy or arrhythmia monitoring. Consequently signal processing on ECGs is required to remove noise and interference signals for successful clinical applications. Existing signal processing techniques can remove some of the noise in an ECG signal, but are typically inadequate for extraction of the weak ECG components contaminated with background noise and for retention of various subtle features in the ECG. For example, the noise from the EMG usually overlaps the fundamental ECG cardiac components in the frequency domain, in the range of 0.01 Hz to 100 Hz. Simple filters are inadequate to remove noise which overlaps with ECG cardiac components. Sameni et al. have proposed a Bayesian filtering framework to resolve these problems, and this gives results which are clearly superior to the results obtained from application of conventional signal processing methods to ECG. However, a drawback of this Bayesian filtering framework is that it must run offline, and this of course is not desirable for clinical applications such as arrhythmia monitoring and physiological therapy, both of which require online operation in near real-time. To resolve this problem, in this thesis we propose a dynamical model which permits the Bayesian filtering framework to function online. The framework with the proposed dynamical model has less than 4% loss in performance compared to the previous (offline) version of the framework. The proposed dynamical model is based on theory from fixed-lag smoothing.
Her Mother's Daughter? The Influence of Childhood Socialization on Women's Political Engagement

This analysis draws on data from a survey of women in English-speaking Canada to examine whether early exposure to politics in the home can counteract the effects of female socialization. We examine the effect of parents' political activity on their adult daughters' interest in politics, political knowledge, and participation in both electoral (e.g., party membership and voting) and nonelectoral (e.g., demonstrations and political consumerism) forms of political action. We find that a politically active mother can have a role-model effect (net of other factors, such as education and age, that might affect a woman's level of political engagement) and that her influence outweighs that of a politically active father.
CELLULAR TOXICITY OF MALACHITE GREEN AND LEUCOMALACHITE GREEN EVALUATED ON TWO RAT CELL LINES BY MTT, NRU, LDH, AND PROTEIN ASSAYS

The cytotoxicity of malachite green (MG) and its major metabolite, leucomalachite green (LMG) was investigated using rat FaO and L6 cell lines. Eight concentrations ranging from 0.1 to 100 µM (MG) and 10 to 1,000 µM (LMG) were tested in three independent experiments. Four cytotoxicity assays were applied in which various biochemical endpoints were assessed: mitochondrial activity (MTT assay), proliferation (total protein content assay), lysosomal activity (neutral red uptake assay), and membrane integrity (LDH leakage assay). The mean effective concentrations (EC50) were calculated from the dose-response curves after 24, 48, and 72 h of exposure. The concentration- and time- dependent effects were observed. MG was very toxic and FaO cells were more sensitive than L6 cells. EC50 values were <10 µM in MTT, NRU, LDH tests (in FaO cells), and in NRU, MTT (in L6 cells) indicating that the primary mechanism of toxicity is inhibition of mitochondrial and lysosomal activity. The LMG gave only slight toxic effect at the hundreds times higher concentrations, with the exception of NRU assay for which EC50 values after 48 and 72 h exposure were very low (<10 µM).
Multifunctional Electrospun Biocompatible Nanofiber Composites from Water Dispersion Blends of Folic Acid Conjugated PVP/Dextran/ODA-MMT Nanocomposites and Their Responses to Vero cells

Murat Şimşek, Zakir M. O. Rzayev, Ulviya Bunyatova, Sevda Khalilova, Mustafa Türk Department of Biomedical Engineering, Faculty of Engineering, İnönü University, Malatya, Turkey. Department of Nanotechnology and Nanomedicine, The Institute of Science, Hacettepe University, Turkey. Department of Biomedical Engineering, Faculty of Engineering, Başkent University, Ankara, Turkey. Scientific Research Institute of Medicinal Prophylaxis, Ministry of Public Health, Baku-Sumgait, Azerbaijan. Department of Bioengineering, Faculty of Engineering, Kırıkkale University, Kırıkkale, Turkey.
Agrometerological study of semi‐arid areas: an experiment for analysing the potential of time series of FORMOSAT‐2 images (Tensift‐Marrakech plain)

Earth Observing Systems designed to provide both high spatial resolution (10 m) and high capacity of time revisit (a few days) offer strong opportunities for the management of agricultural water resources. The FORMOSAT‐2 satellite is the first and only satellite with the ability to provide daily high‐resolution images over a particular area with constant viewing angles. As part of the SudMed project, one of the first time series of FORMOSAT‐2 images has been acquired over the semi‐arid Tensift‐Marrakech plain. Along with these acquisitions, an experimental data set has been collected to monitor land‐cover/land‐use, soil characteristics, vegetation dynamics and surface fluxes. This paper presents a first analysis of the potential of these data for agrometerological study of semi‐arid areas.
Will it play in Peoria ? Predicting Image Popularity with Convolutional Neural Networks

We present the results of several experiments using convolutional neural networks (CNNs) to predict image popularity as measured by the number of views, ‘favorites’ and comments generated by the image. Images were derived from the Flickr 100M dataset. The CNN was obtained from a previous study examining the classification of Flickr images by their ‘style. ’ Several attempts to predict popularity are presented, with mixed success. An analysis of why this approach has failed thus far is put forth along with an outline of ongoing and future projects.
Probabilistic skill in ensemble seasonal forecasts

Simulation models are widely employed to make probability forecasts of future conditions on seasonal to annual lead times. Added value in such forecasts is reflected in the information they add, either to purely empirical statistical models or to simpler simulation models. An evaluation of seasonal probability forecasts from the Development of a European Multimodel Ensemble system for seasonal to inTERannual prediction (DEMETER) and ENSEMBLES multi‐model ensemble experiments is presented. Two particular regions are considered: Nino3.4 in the Pacific and the Main Development Region in the Atlantic; these regions were chosen before any spatial distribution of skill was examined. The ENSEMBLES models are found to have skill against the climatological distribution on seasonal time‐scales. For models in ENSEMBLES that have a clearly defined predecessor model in DEMETER, the improvement from DEMETER to ENSEMBLES is discussed. Due to the long lead times of the forecasts and the evolution of observation technology, the forecast‐outcome archive for seasonal forecast evaluation is small; arguably, evaluation data for seasonal forecasting will always be precious. Issues of information contamination from in‐sample evaluation are discussed and impacts (both positive and negative) of variations in cross‐validation protocol are demonstrated. Other difficulties due to the small forecast‐outcome archive are identified. The claim that the multi‐model ensemble provides a ‘better’ probability forecast than the best single model is examined and challenged. Significant forecast information beyond the climatological distribution is also demonstrated in a persistence probability forecast. The ENSEMBLES probability forecasts add significantly more information to empirical probability forecasts on seasonal time‐scales than on decadal scales. Current operational forecasts might be enhanced by melding information from both simulation models and empirical models. Simulation models based on physical principles are sometimes expected, in principle, to outperform empirical models; direct comparison of their forecast skill provides information on progress toward that goal.
On Bayesian Identification of Autoregressive Processes

The main objective of the current study is to handle the identification problem of autoregressive processes from the Bayesian point of view. Two Bayesian identification approaches are considered. They are referred to as the direct and the indirect approaches. The two approaches are employed to solve the Bayesian identification problem of autoregressive processes using three well known priors. These priors are the G prior, the Natural-Conjugate prior and Jeffrey's prior. The theoretical derivations related to the two Bayesian identification approaches are conducted using the above mentioned priors. Moreover, the performance of the two techniques, using each of the three priors, is investigated via comprehensive simulation studies. Simulation results show that the two techniques are adequate to solve the identification problem of autoregressive processes. The increase in the time series length leads to better performance for each technique. The use of different priors doesn't affect the previous results.
SEMIPARAMETRIC ESTIMATION WITH GENERATED COVARIATES

We study a general class of semiparametric estimators when the infinite-dimensional nuisance parameters include a conditional expectation function that has been estimated nonparametrically using generated covariates. Such estimators are used frequently to e.g., estimate nonlinear models with endogenous covariates when identification is achieved using control variable techniques. We study the asymptotic properties of estimators in this class, which is a nonstandard problem due to the presence of generated covariates. We give conditions under which estimators are root-n consistent and asymptotically normal, derive a general formula for the asymptotic variance, and show how to establish validity of the bootstrap.
Age, Correlation, and Provenance of the Neoproterozoic Skelton Group, Antarctica: Grenville Age Detritus on the Margin of East Antarctica

Detrital zircon U‐Pb ages constrain the age and provenance of the Skelton Group in southern Victoria Land, one of several Proterozoic‐Cambrian metasedimentary units that form basement to the Ross Orogen in East Antarctica. The age of the youngest detrital zircons combined with previous dating of crosscutting intrusive rocks indicates deposition of the northern and southern parts of the Skelton Group between ca. 1050–535 and ca. 950–551 Ma, respectively. Many zircons in the northern part of the Skelton Group crystallized after partial melting during upper amphibolite facies metamorphism at ca. 505–480 Ma, although older ca. 550‐Ma metamorphic zircon rims indicate an earlier episode of high‐grade metamorphism. Detrital zircon ages from the Skelton Group are dominated by ca. 1300–950‐Ma ages similar to those in the Beardmore Group in East Antarctica and the Adelaidean succession of South Australia, suggesting that these rocks are generally correlative. Zircons that crystallized at ca. 1050 Ma form the major age population of the northern Skelton Group, while a broader range of Neoproterozoic zircons form significant components in other sediments deposited on the margin of East Antarctica–Australia at this time, indicating a close proximity to exposed Grenville age crust. Inferred basement rocks of Grenville age beneath the Ross Orogen in East Antarctica (represented by a potential \documentclass{aastex} \usepackage{amsbsy} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{bm} \usepackage{mathrsfs} \usepackage{pifont} \usepackage{stmaryrd} \usepackage{textcomp} \usepackage{portland,xspace} \usepackage{amsmath,amsxtra} \usepackage[OT2,OT1]{fontenc} \newcommand\cyr{ \renewcommand\rmdefault{wncyr} \renewcommand\sfdefault{wncyss} \renewcommand\encodingdefault{OT2} \normalfont \selectfont} \DeclareTextFontCommand{\textcyr}{\cyr} \pagestyle{empty} \DeclareMathSizes{10}{9}{7}{6} \begin{document} \landscape $$1049\pm 11$$ \end{document} ‐Ma orthogneiss), Paleozoic cover in eastern Australia, and ice in Marie Byrd Land in West Antarctica are potential sources for the Grenville age component in these Neoproterozoic sedimentary rocks.