902 research outputs found
Vitamin, mineral and iron supplementation in pregnancy: cross-sectional study
Aim. To assess the use of vitamin, mineral and iron supplements during pregnancy in Zagreb and Novi Sad. Methods. The study was conducted by use of a structured standardized questionnaire consisting of two parts, i. e. data obtained by maternal interview and hospital records. It is designed as a cross-sectional study in two countries (Croatia and Serbia). The study included 893 pregnant women from Zagreb and 6099 pregnant women from Novi Sad. Results. In Zagreb, pregnant women reported highest utilization of vitamin-mineral supplements (n = 508; 56.9 %), whereas in Novi Sad these supplements ranked third (n = 408; 20.3 %), following tocolytics and iron supplements. There was no statistically significant difference in the prevalence of congenital malformations between neonates at in utero exposure to vitamins, minerals and iron supplements and those without such exposure in either Zagreb or Novi Sad arm, with the exception of iron and calcium supplementation in the Zagreb arm. Conclusions. In spite of certain study limitations, the results obtained pointed to the unreasonable and potentially harmful use of these supplements in pregnant women from Zagreb
Peptide Cross-Linked Poly(2-oxazoline) as a Sensor Material for the Detection of Proteases with a Quartz Crystal Microbalance
Inflammatory conditions are frequently accompanied by increased levels of active proteases, and there is rising interest in methods for their detection to monitor inflammation in a point of care setting. In this work, new sensor materials for disposable single-step protease biosensors based on poly(2-oxazoline) hydrogels cross-linked with a protease-specific cleavable peptide are described. The performance of the sensor material was assessed targeting the detection of matrix metalloproteinase-9 (MMP-9), a protease that has been shown to be an indicator of inflammation in multiple sclerosis and other inflammatory conditions. Films of the hydrogel were formed on gold-coated quartz crystals using thiol–ene click chemistry, and the cross-link density was optimized. The degradation rate of the hydrogel was monitored using a quartz crystal microbalance (QCM) and showed a strong dependence on the MMP-9 concentration. A concentration range of 0–160 nM of MMP-9 was investigated, and a lower limit of detection of 10 nM MMP-9 was determined
Vitamin, mineral and iron supplementation in pregnancy: cross-sectional study
Aim. To assess the use of vitamin, mineral and iron supplements during pregnancy in Zagreb and Novi Sad. Methods. The study was conducted by use of a structured standardized questionnaire consisting of two parts, i. e. data obtained by maternal interview and hospital records. It is designed as a cross-sectional study in two countries (Croatia and Serbia). The study included 893 pregnant women from Zagreb and 6099 pregnant women from Novi Sad. Results. In Zagreb, pregnant women reported highest utilization of vitamin-mineral supplements (n = 508; 56.9 %), whereas in Novi Sad these supplements ranked third (n = 408; 20.3 %), following tocolytics and iron supplements. There was no statistically significant difference in the prevalence of congenital malformations between neonates at in utero exposure to vitamins, minerals and iron supplements and those without such exposure in either Zagreb or Novi Sad arm, with the exception of iron and calcium supplementation in the Zagreb arm. Conclusions. In spite of certain study limitations, the results obtained pointed to the unreasonable and potentially harmful use of these supplements in pregnant women from Zagreb.Мета. Oцінити вживання вітаминів, а також харчових добавок, які містять мінерали і залізо, протягом вагітності жінок із Загреба та Нові-Сада. Mетоди. Дослідження проводили із використанням стандартного структурованого опитування, яке складається з двох частин: даних, одержаних під час інтерв’ю, та лікарняних записів. Воно побудовано як кроссекційне дослідження у двох країнах (Хорватії і Сербії). Досліджували 893 вагітні жінки із Загреба та 6099 вагітних жінок з Нові-Сада. Результати. У вагітних жінок із Загреба відмічено найвище вживання вітамінно-мінеральних добавок (n = 508; 56.9 %), у той час як у Нові-Саді воно виявилося в три рази нижчим (n = 408; 20.3 %), включаючи токолітики – препарати, які попереджують передчасні пологи, і добавки заліза. Не виявлено статистичено достовірних розбіжностей у частоті появи вроджених дефектів розвитку у новонароджених, які в пренатальному періоді отримували або не отримували добавки, які містять вітаміни, мінерали і залізо, в обох регіонах, за винятком добавок із залізом та кальцієм у загребській виборці. Выводы. Незважаючи на певні обмеження у дослідженні, результати свідчать про необгрунтоване та потенційно шкідливе застосування таких добавок серед вагітних жінок у Загребі.Цель. Oценить применение витаминов, а также пищевых добавок, содержащих минералы и железо, во время беременности у женщин, проживающих в Загребе и Нови-Саде. Mетоды. Исследование проводили с использованием стандартного структурированного опроса, состоящего из двух частей: данных, полученных в ходе интервью, и записей в больницах. Оно построено как кросс-секционное исследование в двух странах (Хорватии и Сербии). Исследовано 893 беременные женщины из Загреба и 6099 – из Нови-Сада. Результаты. У беременных женщин из Загреба отмечено наиболее высокое употребление витаминно-минеральных добавок (n = 508; 56.9 %), в то время как в Нови-Саде оно оказалось в три раза ниже (n = 408; 20.3 %), включая токолиты – препараты, предотвращающие преждевременные роды, и добавки железа. Не выявлено статистически достоверных различий в частоте появления врожденных дефектов развития у новорожденных, которые в пренатальном периоде получали или не получали добавок, содержащих витамины, минералы и железо, в обоих регионах, за исключением добавок с железом и кальцием в загребской выборке. Выводы. Несмотря на определенные ограничения в исследовании, результаты свидетельствуют о необоснованном и потенциально вредном применении этих добавок среди беременных женщин в Загребе
Diffusion of particles moving with constant speed
The propagation of light in a scattering medium is described as the motion of
a special kind of a Brownian particle on which the fluctuating forces act only
perpendicular to its velocity. This enforces strictly and dynamically the
constraint of constant speed of the photon in the medium. A Fokker-Planck
equation is derived for the probability distribution in the phase space
assuming the transverse fluctuating force to be a white noise. Analytic
expressions for the moments of the displacement along with an
approximate expression for the marginal probability distribution function
are obtained. Exact numerical solutions for the phase space
probability distribution for various geometries are presented. The results show
that the velocity distribution randomizes in a time of about eight times the
mean free time () only after which the diffusion approximation becomes
valid. This factor of eight is a well known experimental fact. A persistence
exponent of is calculated for this process in two dimensions
by studying the survival probability of the particle in a semi-infinite medium.
The case of a stochastic amplifying medium is also discussed.Comment: 9 pages, 9 figures(Submitted to Phys. Rev. E
Membranoproliferative glomerulonephritis, mantle cell lymphoma infiltration, and acute kidney injury
Automated Prediction of CMEs Using Machine Learning of CME – Flare Associations
YesIn this work, machine learning algorithms are applied to explore the relation between significant flares and their associated CMEs. The NGDC flares catalogue and the SOHO/LASCO CMEs catalogue are processed to associate X and M-class flares with CMEs based on timing information. Automated systems are created to process and associate years of flares and CMEs data, which are later arranged in numerical training vectors and fed to machine learning algorithms to extract the embedded knowledge and provide learning rules that can be used for the automated prediction of CMEs. Different properties are extracted from all the associated (A) and not-associated (NA) flares representing the intensity, flare duration, duration of decline and duration of growth. Cascade Correlation Neural Networks (CCNN) are used in our work. The flare properties are converted to numerical formats that are suitable for CCNN. The CCNN will predict if a certain flare is likely to initiate a CME after input of its properties. Intensive experiments using the Jack-knife techniques are carried out and it is concluded that our system provides an accurate prediction rate of 65.3%. The prediction performance is analysed and recommendation for enhancing the performance are provided
Deletion and Functional Analysis of Hepatitis B Virus X Protein: Evidence for an Effect on Cell Cycle Regulators
Background/Aims: The hepatitis B virus X protein (HBx) is a viral trans-activator that plays a crucial role in pathogenesis of hepatocellular carcinoma (HCC) via an unknown mechanism. The role of HBx in modulating cell proliferation and programmed cell death is replete with controversies. Thus, the goal of this study was to elucidate the effect of HBx and its deletion mutants on cell cycle progression in human hepatoma cells. Methods: Huh7 cells transfected with either full-length or truncated HBx were tested for their mitogenic potential based on their effect on the expression of key cell cycle-related proteins (p27, cyclin D1, p21, and p53) and pro-apoptotic proteins such as cleaved poly (ADP-ribose) polymerase (PARP) and Bax. Western blotting and immunofluorescence techniques were applied to detect changes in the expression levels and intracellular localization, respectively, of the investigated proteins. Also, Quantitative real-time PCR (qRT-PCR) was used to detect changes in RNA levels. Results: An increased anchorage-independent growth of cells transfected with HBx-WT and its deletion mutants was observed. The cell cycle regulatory molecules were differentially modulated by full-length HBx (1-154) and its different N- and C-terminal truncated forms (HBx (31-154), HBx (61-154), HBx (1-94), and HBx (61-124)). An enhanced modulation of p27, p21, and cyclin D1 was associated with HBx (1-154), whereas p53 expression was significantly inhibited by HBx (61-124). Similarly, the expression of cleaved PARP and Bax was efficiently suppressed by HBx (1-94) and HBx (61-154). Conclusion: The HBx-WT and its mutants play a critical role in the pathogenesis and progression of HCC by modulating cell cycle regulatory proteins
Solar flare prediction using advanced feature extraction, machine learning and feature selection
YesNovel machine-learning and feature-selection algorithms have been developed to study: (i)
the flare prediction capability of magnetic feature (MF) properties generated by the recently developed
Solar Monitor Active Region Tracker (SMART); (ii) SMART's MF properties that are most significantly
related to flare occurrence. Spatio-temporal association algorithms are developed to associate MFs
with flares from April 1996 to December 2010 in order to differentiate flaring and non-flaring MFs and
enable the application of machine learning and feature selection algorithms. A machine-learning
algorithm is applied to the associated datasets to determine the flare prediction capability of all 21
SMART MF properties. The prediction performance is assessed using standard forecast verification
measures and compared with the prediction measures of one of the industry's standard technologies
for flare prediction that is also based on machine learning - Automated Solar Activity Prediction (ASAP).
The comparison shows that the combination of SMART MFs with machine learning has the potential to
achieve more accurate flare prediction than ASAP. Feature selection algorithms are then applied to
determine the MF properties that are most related to flare occurrence. It is found that a reduced set of
6 MF properties can achieve a similar degree of prediction accuracy as the full set of 21 SMART MF
properties
A model for implementation of HACCP system for prevention and control of mycotoxins during the production of red dried chili pepper
An intermittent extreme BL Lac: MWL study of 1ES 2344+514 in an enhanced state
Extreme high-frequency BL Lacs (EHBL) feature their synchrotron peak of the broad-band spectral energy distribution (SED) at vs ≥ 1017 Hz. The BL Lac object 1ES 2344+514 was included in the EHBL family because of its impressive shift of the synchrotron peak in 1996. During the following years, the source appeared to be in a low state without showing any extreme behaviours. In 2016 August, 1ES 2344+514 was detected with the groundbased γ -ray telescope FACT during a high γ -ray state, triggering multiwavelength (MWL) observations. We studied the MWL light curves of 1ES 2344+514 during the 2016 flaring state, using data from radio to very-high-energy (VHE) γ -rays taken with OVRO, KAIT, KVA, NOT, some telescopes of the GASP-WEBT collaboration at the Teide, Crimean, and St. Petersburg observatories, Swift-UVOT, Swift-XRT, Fermi-LAT, FACT, and MAGIC. With simultaneous observations of the flare, we built the broad-band SED and studied it in the framework of a leptonic and a hadronic model. The VHE γ -ray observations show a flux level of 55 per cent of the Crab Nebula flux above 300 GeV, similar to the historical maximum of 1995. The combination of MAGIC and Fermi-LAT spectra provides an unprecedented characterization of the inverse-Compton peak for this object during a flaring episode. The _ index of the intrinsic spectrum in the VHE γ -ray band is 2.04 ± 0.12stat ± 0.15sys.We find the source in an extreme state with a shift of the position of the synchrotron peak to frequencies above or equal to 1018 Hz.The financial support of the German BMBF and MPG, the Italian INFN and INAF, the Swiss National Fund SNF, the ERDF under the Spanish MINECO (FPA2017-87859-P, FPA2017-85668-P, FPA2017-82729-C6-2-R, FPA2017-82729-C6-6-R, FPA2017-82729-C6-5-R, AYA2015-71042-P, AYA2016-76012-C3-1-P, ESP2017-87055-C2-2-P, and FPA2017-90566-REDC), the Indian Department of Atomic Energy, the Japanese JSPS and MEXT, the Bulgarian Ministry of Education and Science, National RI Roadmap Project DO1-153/28.08.2018, and the Academy of Finland grant no. 320045 is gratefully acknowledged. This work was also supported by the Spanish Centro de Excelencia ‘Severo Ochoa’ SEV-2016-0588 and SEV-2015-0548, and Unidad de Excelencia ‘María de Maeztu’ MDM-2014-0369, by the Croatian Science Foundation (HrZZ) Project IP-2016-06-9782 and the University of Rijeka Project 13.12.1.3.02, by the DFG Collaborative Research Centers SFB823/C4 and SFB876/C3, the Polish National Research Centre grant UMO-2016/22/M/ST9/00382 and by the Brazilian MCTIC, CNPq, and FAPERJ. The FACT collaboration acknowledges the important contributions from ETH Zurich grants ETH-10.08-2 and ETH-27.12-1 as well as the funding by the Swiss SNF and the German BMBF (Verbundforschung Astro- und Astroteilchenphysik) and HAP (Helmoltz Alliance for Astroparticle Physics) are gratefully acknowledged. Part of this work is supported by Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 ‘Providing Information by Resource-Constrained Analysis’, project C3
- …