Miracle-dz/UniFAR-FTUs huggingface dataset:
Stroke in patients with migraine Udar mózgu u chorych na migrenê

Wstêp i cel pracy: Migrena z aur1 jest uwa¿ana za czynnik ryzyka udaru niedokrwiennego. W bie¿1cym retrospektywnym badaniu obserwacyjnym porównano chorych na migrenê przyjêtych z powodu udokumentowanego udaru mózgu z osobami, które zg3osi3y siê z ogniskowymi objawami uszkodzenia uk3adu nerwowego i z bólem g3owy bez mo¿liwego do wykazania ogniska uszkodzenia, u których ostatecznie rozpoznano napad migreny z aur1. Materia3 i metody: W badaniu wziê3o udzia3 14 chorych na migrenê i udar mózgu oraz 37 osób z migren1 i bez udaru mózgu. Porównano charakterystykê kliniczn1, naczyniowe czynniki ryzyka i wyniki badañ pomocniczych. Wyniki: Udar mózgu wystêpowa3 zarówno wœród chorych na migrenê z aur1, jak i u chorych na migrenê bez aury. Typowe naczyniowe czynniki ryzyka wystêpowa3y doœæ rzadko. G3ównym czynnikiem ryzyka udaru mózgu u chorych z migren1 w wywiadzie okaza3 siê dro¿ny otwór owalny, z towarzysz1cym têtniakiem przegrody miêdzyprzedsionkowej lub bez niego. Ogniska zawa3owe znajdowa3y siê g3ównie w nadnamiotowej czêœci obszaru tylnego krêgu unaczynienia. Zaobserwowano równie¿ kilka krwiaków p3atowych, ale ich przyczyny nie zosta3y jednoznacznie ustalone. Ogólnie udary mózgu mia3y niewielkie nasilenie, a wynik leczenia by3 dobry. U chorych na migrenê i udar mózgu czêœciej w obrazach T2-zale¿nych rezonansu magnetycznego stwierdzano obszary zwiêkszonego sygna3u w istocie bia3ej mózgu oraz w mó¿d¿ku. Abst rac t
The physical properties and stability of purple yam ( Ipomoea batatas ( L . ) Lam )

The purple yam (Ipomoea batatas (L) Lam) has a useful anthocyanin as a natural dye which safer compare to the synthetic dyes. Anthocyanins have the antioxidant effect that can capture free radicals. The purpose of this study was to assess the effect of purple yam extract in various concentrations on the physical properties and physical stability of lipstick. Lipstick was made in three formulas that is L01, L02, L03. To evaluate the quality of the product, the physical properties, and stability test for purple yam lipsticks were conducted. Physical properties test consisted of organoleptic tests, melting point test, hardness test, homogeneity test, the Pap test, and pH test. Lipstick stability tests were performed by stored lipstick for 30 days at room temperature 25 °C, then observed the change of shape, color, and odor during storage. “W” a top market leader lipstick in Indonesia was used as a control. Observed data of melting point, strength, and pH of lipstick were analyzed using One Way ANOVA and continued with Tukey. Organoleptic data, homogeneity, topicality and lipstick stability were described descriptively. The results showing no significant differences between lipstick L01, L02, L03 in organoleptic, homogeneity, pH and lipstick physical stability. However, when comparing with W lipstick, there is a significant difference in the melting, hardness and smearing points between L01, L02, L03 lipstick with W lipstick. It was concluded that purple yam extract may influence the physical properties of lipstick in particular melting point and hardness of lipstick. Although it has no effect on the stability of purple yum lipstick.
Age estimation of facial image based on convolution neural network

Age is an inherent biological characteristic of human and is reflected in facial images to a certain extent. A method for estimating age from a facial image by combining CNN (Convolution Neural Network) with SVR (Support Vector Regression) is proposed. First, a deep CNN is trained to automatically extract age features from facial images and classify them into variant age groups. Then different SVRs are trained for each age group to estimate the age of a facial image. The experimental results show that a lower MAE (Mean Absolute Error) of age estimation on MORPH database is obtained.
Chapter 8 Hair Follicle Pluripotent Stem ( hfPS ) Cells

Our laboratory has discovered that nestin, a protein marker for neural stem cells is also expressed in hair follicle stem cells and their immediate, differentiated progeny. The fluorescent protein, GFP, whose expression is driven by the nestin regulatory element in transgenic mice (ND-GFP mice), served to mark hair follicle stem cells and enabled us to make this observation. The ND-GFP hair-follicle stem cells are positive for the stem cell marker CD34 but negative for keratinocyte marker keratin 15, suggesting their relatively undifferentiated state. We have shown that these hair follicle stem cells can differentiate into neurons, glia, keratinocytes, smooth muscle cells and melanocytes in vitro. In vivo studies show the hair follicle stem cells can differentiate into blood vessels and neural tissue after transplantation to the subcutis of nude mice. Hair follicle stem cells implanted into the gap region of severed sciatic or tibial nerves greatly enhance the rate of nerve regeneration and the restoration of nerve function. When transplanted to severed nerves in mice, the follicle cells transdifferentiate largely into Schwann cells, which are known to support neuron regrowth. The transplanted mice regain the ability to walk normally. We have also shown that hair follicle stem cells can affect the functional joining of the severed spinal cord. When the hair follicle stem cells are injected into the severed spinal cord, they differentiate into Schwann cells enabling the cord to rejoin and the mouse to regain function of its rear legs. Thus, hair follicle pluripotent stem (hfPS) cells can provide an effective, accessible, autologous source of stem cells for treatment of peripheral nerve injury and appear to be a paradigm for adult stem cells. R.M. Hoffman (B) Department of Surgery, University of California, and AntiCancer, Inc., 7917 Ostrow Street, San Diego, CA 92111, USA e-mail: all@anticancer.com J.R. Masters, B. Ø. Palsson (eds.), Human Adult Stem Cells, Human Cell Culture 7, DOI 10.1007/978-90-481-2269-1 8, C © Springer Science+Business Media B.V. 2009 171
Status of Vitamin D25 Hydroxy Vitamin D25 ( OH ) in Patients With Multiple Myeloma

Introduction Multiple myeloma (MM) causes generalized bone loss leading to lytic bone lesions and pathologic fractures. The increased osteoclast activity and reduced osteoblast function favors bone resorption and decreased bone formation. Vitamin D is vital in regulating calcium homeostasis and osteoclast-mediated bone resorption. Defi ciency of Vitamin D among MM patients may complicate bone mineralization problems and fractures. Objective General Objective To determine the status of Vitamin D in patients with multiple myeloma Specifi c Objective To determine the levels of Vitamin D, intact parathyroid hormone and ionized calcium among MM patients Methodology This is a prospective, cross-sectional study which included patients who were 18 years old and above, male or female, diagnosed with MM at the University of Santo Tomas Hospital, with or without treatment. Excluded in the study were those with Vitamin D and calcium supplementation. Eligible subjects were extracted blood for Vitamin D assay, intact parathyroid hormone and ionized calcium. Results A total of 22 patients with MM were included in the study. Sixteen patients (72.7%) had hypovitaminosis D. Among these sixteen patients, seven (31.8%) had Vitamin D defi ciency (Vitamin D levels <20 ng/mL [50 nmol/L]) and nine (40.9%) had Vitamin D insuffi ciency (levels of 21-29 ng/ mL [52.5-72.5 nmol/L]). Only 6 (27.3%) of them were found to have normal serum Vitamin D (levels of >29 ng/mL [>72.5 nmol/L]). The mean age (p=0.069), intact PTH (p=0.062) and ionized calcium (p=0.188) of the three groups of patients did not differ. Conclusion This study found a high incidence of Vitamin D defi ciency among MM patients seen at the University of Santo Tomas Hospital. Vitamin D defi ciency was independent of age, intact PTH and ionized calcium. It was more common in male subjects. Patients with hypovitaminosis D are at risk of having secondary hyperparathyroidism. Recommendation Vitamin D status should be determined among patients with MM. Early recognition and treatment of hypovitaminosis D will prevent the risk of having secondary hyperparathyroidism that can complicate skeletal-related events.
EMPIRICAL EVALUATION OF MACHINE LEARNING ALGORITHMS FOR AUTOMATIC DOCUMENT CLASSIFICATION

Automatic document classification process is the important area of research in the field of Text Mining(TM). Text mining is the process of discovering the interesting pattern or knowledge from huge amount of data. The document classification process used in many domains. Here, to take the classification process is apply SMS spam classification. The bench marked dataset is used and the same data set is processed in various ML algorithms of Naive Bayes, Support Vector Machine, Decision Tree and Logistic Regression model. In this paper evaluates the results of various machine learning algorithms for automatic document classification in SMS spam classification.
Alternative Splicing of NOX 4 in the Failing Human Heart

Cardiometabolic Research Group, Department of Pharmacology and Pharmacotherapy, Semmelweis University, Budapest, Hungary, 2 Laboratory of Cardiovascular Physiology and Tissue Injury, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, United States, Department of Biochemistry, Faculty of Medicine, University of Szeged, Szeged, Hungary, Department of Heart Failure and Transplantology, Cardinal Stefan Wyszyński Institute of Cardiology, Warszawa, Poland, Department of Cardiac Surgery and Transplantology, Cardinal Stefan Wyszyński Institute of Cardiology, Warszawa, Poland, 6 Bioinformatics Unit, Centro Nacional de Investigaciones Cardioavsculares Carlos III, Madrid, Spain, Heart Failure and Inherited Cardiac Diseases Unit, Department of Cardiology, Hospital Universitario Puerta de Hierro Majadahonda, Madrid, Spain, 8 Pharmahungary Group, Szeged, Hungary, 9 Faculty of Medicine, Institute of Biochemistry II, Goethe University, Frankfurt, Germany, Centro de Investigaciones Cardiovasculares Carlos III, Madrid, Spain
Comparison of measurements from di ↵ erent radio-echo sounding systems and synchronization with the ice core at Dome C , Antarctica

We present a compilation of radio-echo sounding (RES) measurements of five radar systems (AWI, BAS, CReSIS, INGV and UTIG) around the EPICA Dome C (EDC) drill site, East Antarctica. The aim of our study is to investigate the differences of the various systems in their resolution of internal reflection horizons (IRHs) and bed topography, penetration depth, and capacity of imaging the basal layer. We address the questions of the compatibility of existing radar data for common interpretation, and the suitability of the individual systems for reconnaissance surveys. We find that the most distinct IRHs 5 and IRH patterns can be identified and transferred between most data sets. Considerable differences between the RES systems exist in range resolution and depiction of the bottom-most region. Considering both aspects, which we judge as crucial factors in the search for old ice, the CReSIS and the UTIG systems are the most suitable ones. In addition to the RES data set comparison we calculate a synthetic radar trace from EDC density and conductivity profiles. We identify ten common IRHs in the measured RES data and the synthetic trace. Then we ::: We :::: then : conduct a sensitivity study for which we remove certain 10 peaks from the input conductivity profile. As a result the respective reflections disappear from the modeled radar trace. In this way, we establish a depth conversion of the measured travel-times of the IRHs. Furthermore, we use these sensitivity studies to investigate the cause of observed reflections. The identified IRHs are assigned ages from the EDC’s time scale. Due to the isochronous character of these conductivity-caused IRHs, they are a means to extend the Dome C age structure by tracing the IRHs along the RES profiles. 15
Nonlinear time series analysis of the light curves from the black hole system GRS1915+105

GRS 1915+105 is a prominent black hole system exhibiting variability over a wide range of time scales and its observed light curves have been classified into 12 temporal states. Here we undertake a complete analysis of these light curves from all the states using various quantifiers from nonlinear time series analysis, such as the correlation dimension (D2), the correlation entropy (K2), singular value decomposition (SVD) and the multifractal spectrum (f(α) spectrum). An important aspect of our analysis is that, for estimating these quantifiers, we use algorithmic schemes which we have recently proposed and successfully tested on synthetic as well as practical time series from various fields. Though the schemes are based on the conventional delay embedding technique, they are automated so that the above quantitative measures can be computed using conditions prescribed by the algorithm and without any intermediate subjective analysis. We show that nearly half of the 12 temporal states exhibit deviation from randomness and their complex temporal behavior could be approximated by a few (three or four) coupled ordinary nonlinear differential equations. These results could be important for a better understanding of the processes that generate the light curves and hence for modeling the temporal behavior of such complex systems. To our knowledge, this is the first complete analysis of an astrophysical object (let alone a black hole system) using various techniques from nonlinear dynamics.
Employee Commitment – Investor in People Model By Kazi Afaq

The performance of the organization is directly impacted by level of Employees Commitment”. The “Emplo-yee Commitment” – Investors in People (IIP) Model was selected as the reference sample for this study. The IIP model emerged in UK and is being successfully implemented in the western countries. Lot of prior research has been carried out across the world on IIP however no research work is done to test the validity of this model in developing countries like Pakistan. As per IIP, the employee commitment is dependent variable of four independent variables i.e employee con-tribution recognition, support people development, equality of opportunities and encourages performance improvement. This study was based on the hypothesis that” IIP said employee commitment variables are secondary and tertiary motivators and are not workable in Pakistan unless primary needs of the employees are fulfilled”. The research study conducted in group of sample organizations comprising of multinational and local private organizations has confirmed the above hypo-thesis. The research findings concludes that “Fair and Equitable Compensation & Benefits”, Decent Work Environ-ment, and People Development are key elements for firing up Employee Commitment”, in developing countries like Pakistan. The research findings and recommendations will help local entrepreneurs to improve productivity; quality of output and retaining highly motivated and charged workforce committed to improve organizational performance.
COAL IN TURKEY : INCOME AND PRICE ELASTICITY OF COAL DEMAND IN ELECTRICITY GENERATION

The aim of this study was to determine income and price elasticity of demand of coal used in electricity generation in Turkey. Coal demand for electricity generation was analyzed for shortand long-term effects using the ARDL bounds test. Both shortand long-term increases in coal prices reduced coal demand, while increases in per capita income increased coal demand. However, in the long-term, the effect of average temperature on coal demand was insignificant. The price elasticity of coal demand is estimated at less than 1 in both the short(in a lagged period) and longterm. On the contrary, the income elasticity of coal demand is found larger than 1 in both the shortand long-term. In addition, firms that supply steam coal can increase their income through price increases. Therefore, it can be said that the increase in the price of coal used in electricity generation has no effect on reducing the demand for coal in this field. JEL Classification: C22, D22, Q41
Computational Intelligence: An Introduction

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within the CI development framework. This implementation framework will enable readers to tackle new problems without any difficulty through a single Java class as part of the CI library.
Introduction : From Marks in the Sand to Computer Conferencing Via Fiber Optics

Throughout the history of human communication, advances in technology have powered paradigmatic shifts in education (Frick, 1991). Technology changes both what we can do and what we decide is best to do; big shifts in culture cannot occur until the tools are available. The printing press is an example. Before its invention there were people who could read and write; yet not much reading and writing took place because, for one thing, books were costly and scarce. The press enabled widespread literacy, with books accessible and more affordable for all. The spread of literacy in turn changed both the educational system and the class structure, with consequences that still shape our attitudes today.
Titre : Title : Degradation of progestagens by oxidation with potassium permanganate in wastewater effluents Auteurs :

Background: This study investigated the oxidation of selected progestagenic steroid hormones by potassium permanganate at pH 6.0 and 8.0 in ultrapure water and wastewater effluents, using bench-scale assays. Second order rate constants for the reaction of potassium permanganate with progestagens (levonorgestrel, medroxyprogesterone, norethindrone and progesterone) was determined as a function of pH, presence of natural organic matter and temperature. This work also illustrates the advantages of using a novel analytical method, the laser diode thermal desorption (LDTD-APCI) interface coupled to tandem mass spectrometry apparatus, allowing for the quick determination of oxidation rate constants and increasing sample throughput. Results: The second-order rate constants for progestagens with permanganate determined in bench-scale experiments ranged from 23 to 368 M sec in both wastewater and ultrapure waters with pH values of 6.0 and 8.0. Two pairs of progestagens exhibited similar reaction rate constants, i.e. progesterone and medroxyprogesterone (23 to 80 M sec in ultrapure water and 26 to 149 M sec in wastewaters, at pH 6.0 and 8.0) and levonorgestrel and norethindrone (179 to 224 M sec in ultrapure water and 180 to 368 M sec in wastewaters, at pH 6.0 and 8.0). The presence of dissolved natural organic matter and the pH conditions improved the oxidation rate constants for progestagens with potassium permanganate only at alkaline pH. Reaction rates measured in Milli-Q water could therefore be used to provide conservative estimates for the oxidation rates of the four selected progestagens in wastewaters when exposed to potassium permanganate. The progestagen removal efficiencies was lower for progesterone and medroxyprogesterone (48 to 87 %) than for levonorgestrel and norethindrone (78 to 97%) in Milli-Q and wastewaters at pH 6.0-8.2 using potassium permanganate dosages of 1 to 5 mg L after contact times of 10 to 60 min. Conclusion: This work presents the first results on the permanganate-promoted oxidation of progestagens, as a function of pH, temperature as well as NOM. Progestagen concentrations used to determine rate constants were analyzed using an ultrafast laser diode thermal desorption interface coupled to tandem mass spectrometry for the analysis of water sample for progestagens.
The 3-dimensional play of human parechovirus infection; Cell, virus and antibody

Background. Human parechoviruses (HPeVs) are RNA viruses associated with mild gastrointestinal and respiratory infections in children, but have also been linked to neonatal sepsis and CNS infections in infants. While the prevalence of HPeVs is known mostly among hospitalized populations, the knowledge of HPeV seroprevalence in the general population is poor. Objectives. The aim of this study was to identify and compare the HPeV1-6 seroprevalence in Finnish and Dutch populations. Study design. A type specific microneutralization assay was set up for detecting neutralizing antibodies (nABs) against HPeV types 1-6. Altogether 616 serum samples from Finnish and Dutch population were analyzed for antibodies against HPeVs. The samples were collected from Finnish children aged 1, 5 or 10 years, Finnish adults, 0-to 5-year-old Dutch children, Dutch women of childbearing age and Dutch HIV-positive men. Results.
The importance of knowledge management

The publication concerns the specifi cs of work in a virtual system and knowledge management at selected Higher Universities in Poland. This way of performing duties is becoming more and more popular and even required by cooperators from the near and distant environment. Universities should demonstrate fl exibility in this area by adapting their work system to current trends and standards. The aim of the article is to describe some aspects related to the virtual work of academic teachers and the need to apply knowledge management in the long-term functional organization. The adopted hypothesis assumes that there will be intensifi cation of processes related to virtualization of work at universities. The qualitative method was used to collect empirical data in the form of casual interviews. Up to now, interviews with academics have been conducted with three selected Polish universities (Academy of Social Sciences, University of Lodz, School of Finance and Management), overall thirty-seven workers took part in the research. A secondary analysis method was also used, consisting of a review of literature on the subject of national and international scope. The results of the publication are pilot studies, which are a prelude to further research covering both teachers and people managing science and didactic facilities in major voivodship cities in Poland.