Investigating the Capability of a New Surface-Based EM Instrument, the Sea Ice Sensor (SIS), to Measure Sea Ice Thickness

Sea ice thickness measurement is an important parameter in climate system models, safety and efficiency of offshore operations and maritime navigation. Electromagnetic (EM) induction instruments are commonly used to measure this parameter. Sea Ice Sensor (SIS) is a new surface-based EM instrument that utilizes single frequency and multiple transmitter-receiver coil configurations to measure sea ice thickness. This thesis investigates SIS capability to measure sea ice thickness over a variety of sea ice types. Signal sensitivity, the accuracy of the inversion algorithm used and the pitch and roll effect on the inversion results were investigated. Overall SIS proved to provide accurate sea ice thickness estimates over a variety of sea ice types. Utilization of 2 m coil spacing and a single EM data component appeared to be effective and sufficient for most sea ice types. Utilization of Pitch and roll measurements improved results accuracy

Propagation And Bulb Formation Of Fritillaria (FritillariaImperialis L.) Via In Vitro Culture. Ijpaes.

ABSTRACT: The Fritillariaimperialis is grown natively in Iran. Between ornamental bulblet plants, this plant has special place, therefore this plant needs more attention, otherwise this plant will be destroyed in future. For this reason in vitro culture of Fritillariaimperialis was studied. Tissue culture techniques have high potential for mass propagation. The multiplication efficacy of the method by bulb is low; the plantlets are easy to get diseases and depended on the crop. Plant tissue culture is a technique that has ability of production of a large number of high quality plants. Factors influencing on the regeneration ability and in vitro plantlet growth were examined. The number of regenerated shoots was the highest on MS medium supplemented with 0.5 mg/l TDZ and 30 g/l sucrose; the number of roots was the highest on MS medium supplemented with 0.2 mg/l NAA and 30 g/l sucrose; the in vitro bulb diameter is largest. In vitro plantlets survived in greenhouse at a high rate. A whole process was established for rapid multiplication of Fritillariaimperialis L

Geochemical Anomaly Detection in the Irankuh District Using Hybrid Machine Learning Technique and Fractal Modeling

Prediction of elemental concentrations is essential in mineral exploration as it plays a vital role in detailed exploration. New machine learning (ML) methods, such as hybrid models, are robust approaches infrequently used concerning other methods in this field; therefore, they have not been examined properly. In this study, a hybrid machine learning (HML) method was proposed based on combining K-Nearest Neighbor Regression (KNNR) and Random Forest Regression (RFR) to predict Pb and Zn grades in the Irankuh district, Sanandaj-Sirjan Zone.. The aim of the proposed study is to employ the hybrid model as a new method for grade distribution. The KNNR-RFR hybrid model results have been applied for the Pb and Zn anomalies classification. The hybrid (KNNR-RFR) method has shown more accurate prediction outputs based on the correlation coefficients than the single regression models with 0.66 and 0.54 correlation coefficients for Pb and Zn, respectively. The KNN-RF results were used to classify Pb and Zn anomalies in the study area. The concentration-area fractal model separated the main anomalous areas for these elements. The Pb and Zn main anomalies were correlated with mining activities and core drilling data. The current study demonstrates that the hybrid model has a substantial potential for the ore elemental distribution prediction. The presented model expresses a promising result and can predict ore grades in similar investigations

The Effect of Walnut (<i>Juglans regia</i>) Leaf Extract on Glycemic Control and Lipid Profile in Patients With Type 2 Diabetes Mellitus:A Systematic Review and Meta-Analysis of Randomized Clinical Trials

Numerous clinical trials have examined the beneficial effects of Juglans regia leaf extract (JRLE) in patients with type 2 diabetes mellitus (T2DM); however, the results of these studies are inconsistent. Therefore, we conducted the current systematic review and meta-analysis to evaluate the effect of JRLE on glycemic control and lipid profile in T2DM patients. We searched online databases including PubMed, Scopus, EMBASE, and Web of Science for randomized controlled clinical trials that examined the effect of JRLE on glycemic and lipid indices in T2DM patients. Data were pooled using both fixed and random-effect models and weighted mean difference (WMD) was considered as the overall effect size. Of the total records, 4 eligible studies, with a total sample size of 195 subjects, were included. The meta-analysis revealed that JRLE supplementation significantly reduces fasting blood glucose (WMD, −18.04; 95% confidence interval [CI], −32.88 mg/dL, −3.21 mg/dL; p = 0.017) and significantly increases fasting insulin level (WMD, 1.93; 95% CI, 0.40 U/L, 3.45 U/L; p = 0.014). Although the overall effect of JRLE supplementation on hemoglobin A1c was not significant, a significant reduction was seen in studies with an intervention duration of > 8 weeks (WMD, −0.64; 95% CI, −1.16%, −0.11%; p = 0.018). Moreover, we also found no significant change in lipid parameters. Our findings revealed a beneficial effect of JRLE supplementation on glycemic indices in T2DM patients, but no significant improvement was found for lipid profile parameters

Optic Nerve Head Optical Coherence Tomography Angiography Findings after Coronavirus Disease

Purpose: To quantify the microvasculature density of the optic nerve head (ONH) using optical coherence tomography angiography (OCTA) analysis in patients recovered from Coronavirus Disease 2019 (COVID-19). Methods: In a comparative cross-sectional, observational study, patients recovered from COVID- 19 whose initial diagnosis was confirmed by an rRT-PCR of a nasopharyngeal sample were included in this study. OCTA of ONH was performed in included patients and normal controls. Vascular density (VD) of the all vessels (AV) and small vessels (SV) inside the disc and radial peripapillary capillary (RPC) network density was measured in COVID-19 recovered patients and compared with similar parameters in an age-matched group of normal controls. Results: Twenty-five COVID-19 patients and twenty-two age-matched normal controls were enrolled in the study and one eye per participant was evaluated. The mean whole image SV VD in the COVID-19 group (49.31 ± 1.93) was not statistically significantly different from that in the control group (49.94 ±. 2.22; P = 0.308). A decrease in RPC VD was found in all AV and SV VD measured, which became statistically significant in whole peripapillary SV VD, peripapillary inferior nasal SV VD, peripapillary inferior temporal SV VD, peripapillary superior nasal SV VD, and grid-based AV VD inferior sector (P &lt; 0.05). Inside disc SV VD in the COVID-19 group (49.43 ± 4.96) was higher than in the control group (45.46 ± 6.22) which was statistically significant (P = 0.021). Conclusion: Unremarkable decrease was found in ONH microvasculature in patients who had recovered from COVID-19. These patients may be at risk of ONH vascular complications. Increase in inner disc SV VD may be an indicator of ONH hyperemia and edema

Preparation and evaluation of niosomes containing autoclaved Leishmania major: a preliminary study

In this study, different positively charged niosomal formulations containing sorbitan esters, cholesterol and cetyl trimethyl ammonium bromide were prepared by film hydration method for the entrapment of autoclaved Leishmania major (ALM). Size distribution pattern and stability of niosomes were investigated by laser light scattering method and ALM encapsulation per cent was measured by the bicinchoninic acid method. Finally, the selected formulation was used for the induction of the immune response against cutaneous leishmaniasis in BALB/c mice. Size distribution curves of all the formulations followed a log-normal pattern and the mean volume diameter was in the range 7.57–15.80 mm. The mean volume diameters were significantly increased by adding Tween to Span formulations (p50.05). The percentage of ALM entrapped in all formulations varied between 14.88% and 36.65%. In contrast to ALM, in vivo studies showed that the niosomes containing ALM have a moderate effect in the prevention of cutaneous leishmaniasis in BALB/c mice

Investigating the Capability of a New Surface-Based EM Instrument, the Sea Ice Sensor (SIS), to Measure Sea Ice Thickness

Sea ice thickness measurement is an important parameter in climate system models, safety and efficiency of offshore operations and maritime navigation. Electromagnetic (EM) induction instruments are commonly used to measure this parameter. Sea Ice Sensor (SIS) is a new surface-based EM instrument that utilizes single frequency and multiple transmitter-receiver coil configurations to measure sea ice thickness. This thesis investigates SIS capability to measure sea ice thickness over a variety of sea ice types. Signal sensitivity, the accuracy of the inversion algorithm used and the pitch and roll effect on the inversion results were investigated. Overall SIS proved to provide accurate sea ice thickness estimates over a variety of sea ice types. Utilization of 2 m coil spacing and a single EM data component appeared to be effective and sufficient for most sea ice types. Utilization of Pitch and roll measurements improved results accuracy

WLCD: a dataset of lifestyle in relation with women’s cancer

Abstract Objectives Social media text mining has been widely used to extract information about the experiences and needs of patients regarding various diseases, especially cancer. Understanding these issues is necessary for further management in primary care. Researchers have identified that lifestyle factors such as diet, exercise, alcohol, and Smoking are associated with cancer risks, particularly women’s cancer. Considering the growing trend in the global burden of women’s cancer, it is essential to monitor up-to-date data sources using text mining. Data description We have prepared six independent datasets regarding lifestyle components and women’s cancer: (1) a dataset of nutrition containing 10,161 tweets; (2) a dataset of exercise containing 9412 tweets; (3) a dataset of alcohol containing 2132 tweets; (4) a dataset of Smoking containing 4316 tweets; and (5) a dataset of lifestyle (term) containing 1861 tweets. We also construct an additional dataset: (6) a dataset by summing other components containing 27,882 tweets. These data are provided to discover people’s perspectives, knowledge, and experiences regarding lifestyle and women’s cancer. Hence, it should be valuable for healthcare providers to develop more efficient patient management approaches

Egoists dilemma with fuzzy data

In this paper, we investigate the problems of consensus-making among individuals or organizations with multiple criteria for evaluating performance when the players are supposed to be egoistic and the score for each criterion for a player is supposed to be fuzzy number. We deal with problems with fuzzy parameters from the viewpoint of experts&apos; imprecise or fuzzy understanding of the nature of parameters in a problem-formulation process. Egoistic means that each player sticks to his/her superiority regarding the criteria. The concept that is developed in optimization leads the problem to a dilemma called &apos;egoists dilemma&apos;. We examine this dilemma using cooperative fuzzy game theory and propose a solution. The scheme developed in this paper can also be applied to attaining fair cost allocations as well as benefit-cost distributions for fuzzy data

Evaluation of Selenium Status among Iranian Pregnant Women: A Systematic Review and Met-Analysis

Selenium (Se) plays an important role in numerous immunological functions of human health. It has been shown that maternal Se deficiency contributes to many pregnancy complications such as pre-eclampsia, gestational diabetes mellitus (GDM), miscarriage, and even fetal growth restriction. Due to the evidence of importance of Se in pregnancy outcomes and the inconsistency of current shreds of evidence on Se adequacy in Iranian pregnant women, this study aimed to provide a comprehensive evaluation of published studies. This systematic review explored studies reporting dietary Se intake, serum or plasma Se, and Umbilical cord Se in Iranian pregnant women. Methods: PubMed, Scopus, Web of Science, Embase, Google scholar (in English and Persian), and Persian databases, including Scientific Information Database, IranDoc, Iranian National Library, Magiran, and Regional Information Center for Science and Technology, were reviewed. Results: A total of 30 studies were included in the meta-analysis. Pooled effect sizes show an overall value of 90.09 µg/l (95% CI: 81.89, 98.29) and 75.08 µg/d (95% CI: 63.01, 87.16) for serum and dietary Se. Geographically, the lowest serum Se was in Fars and East-Azerbaijan with values of 61.97 µg/l (51.38, 72.55) and 55.12 µg/l (48.5, 61.74), respectively. Dietary intake pooled estimate showed that the lowest Se intake was in West-Azerbaijan with a value of 42.80 µg/d (95% CI: 38.95, 46.65). Conclusion: The current study shows that the overall serum and dietary intake of Se in Iranian pregnant women is acceptable. Some parts of the country need monitoring to prevent Se inadequacy and related-adverse complications in pregnant women