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ts to promote exclusive breastfeeding and increase Thailand's overall exclusive breastfeeding rate.

This study was performed to assess the impact of a mobile and web-based software system named Midwifery Clinical Automation (EBEKO) and designed by researchers to be used in clinical practices on motivation, time management and anxiety level.

The sample of this randomized controlled trial consisted of 60 midwifery students who were randomly and equally assigned to the experimental and control groups. Data were collected between February and May 2019 using "Student Introduction Form", "Motivation Resources and Problems Scale (MRPS)", "Time Management Inventory (TMI)" and "Spielberger's State-Trait Anxiety Inventory (STAI I-II). EBEKO application was designed as a software system ensuring mutual interaction between students and instructors. Students in the experimental group and all instructors of the department of midwifery were trained in terms of using the system. Students were asked to upload the data regarding midwifery care, monitoring and trainings utilized within the clinical practices to the EBEKO.p<0.001, p<0.05), but no significant difference regarding the anxiety levels was present between the groups (p>0.05).

EBEKO was found to positively affect the motivation and time management of midwifery students.

EBEKO was found to positively affect the motivation and time management of midwifery students.

To identify if any differences exist in IFM size and quality in single leg weight bearing position between healthy and PFP participants based on foot posture.

Cross-sectional, matched case-comparison study SETTING University Laboratory Setting PARTICIPANTS 35 PFP (age20.46±3.79yrs, mass73.28±26.58kg, height170.80±11.91cm) and 35 healthy (age20.40±3.16yrs, mass64.76±11.52kg, height169.55±9.10cm) participants METHODS After measuring Foot Posture Index (FPI), ultrasound images (USI) of Abductor Hallucis (AH), Flexor Digitorum Brevis (FDB) and Quadratus Plantae (QP) were taken in a single limb weight bearing position. Cross-sectional area (CSA) and echogenicity were measured on the USI.

FPI was not different between groups (PFP2.34±3.76, Healthy2.34±3.10, 9 pronated and 26 non-pronated in both groups). AH CSA was smaller in PFP than healthy group (PFP0.030±0.01cm (Smith etal., 2018)/kg, Healthy0.042±0.01cm (Smith etal., 2018)/kg, P<0.001) with a large effect (d=-1.20(-1.71,-0.69). There were no other significant group main effects or group-by-FP interactions in AH/FDB/QP CSA or echogenicity.

AH CSA was smaller in PFP than healthy controls, but no difference in CSA or echogenicity of FDB/QP exist, as well as no difference in foot posture between groups. While single limb weight bearing, the PFP group presented with a smaller IFM which provides eccentric control of medial longitudinal arch, which may have implications up the chain during weight bearing functional tasks.

AH CSA was smaller in PFP than healthy controls, but no difference in CSA or echogenicity of FDB/QP exist, as well as no difference in foot posture between groups. While single limb weight bearing, the PFP group presented with a smaller IFM which provides eccentric control of medial longitudinal arch, which may have implications up the chain during weight bearing functional tasks.This study embarked on the assessment regarding the function and mechanism of miR-520h/IL6R axis in polycystic ovary syndrome (PCOS). Specifically, we analyzed the differential expression of IL6R in PCOS samples and normal samples based on the GEO database, and then verified IL6R expression in KGN cells (Human granulosa-like tumor cell line) using quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) and western blot. MiRNA targeting IL6R was predicted by bioinformatics analysis and verified by luciferase reporter assay, qRT-PCR and western blot. KGN cells were transfected with miR-520h inhibitor and si-IL6R, and then the cell viability and apoptosis were detected by cell counting kit-8 (CCK-8) and flow cytometry assays. Additionally, western blot was applied to examine the expressions of cell cycle-, apoptosis-, and JAK / STAT pathway-related proteins. IL6R was highly expressed in PCOS and KGN cells, and IL6R silencing inhibited the viability, while promoting the apoptosis of KGN cells. Importantly, miR-520h directly targeted IL6R and inhibited IL6R expression. Moreover, downregulation of miR-520h enhanced the cell viability, impeded the cell apoptosis, upregulated the expressions of CDK2, CCNB1, Bcl-2, activated JAK/STAT pathway and downregulated Bax expression in KGN cells. Of note, knockdown of IL6R can reverse the biological functions of miR-520h in KGN cells. Collectively, miR-520h hindered the proliferation and promoted the apoptosis of KGN cells via targeting IL6R to inhibit the development of PCOS, and these effects were possibly realized by JAK/STAT pathway. However, the effect of miR-520h in the progression of PCOS need to further study in the GCs.Cannabis sativa is most prominent for its psychoactive secondary compound tetrahydrocannabinol, or THC. However, THC is only one of many phytocannabinoids found in this (in)famous medicinal plant. The stepwise legalization of Cannabis in many countries has opened opportunities for its medicinal and commercial use, sparking scientific interest in the genetics and biochemistry of phytocannabinoid synthesis. Advances in plant biology and genomics help to accelerate research in the Cannabis field, which is still lagging behind other comparable high-value crops. Here, we discuss the intriguing genetics and evolutionary history of phytocannabinoid synthases, and also show that an increased understanding of Cannabis developmental genetics and morphology are of critical importance to leverage the full potential of phytocannabinoid production.

In-line X-ray phase contrast imaging offers considerable additional information beyond that acquired from conventional absorption contrast X-ray imaging, showing promising potentials in clinical diagnosis, materials characterization and so on. Given the physically intractable factors tangled inside, conventional phase retrieval methods typically suffer from limited feasibility. A deep-learning-augmented reconstruction strategy is proposed to improve the phase retrieval in spatial resolution and noise compression.

The deep network is composed of a phase contrast refinement module and a phase retrieval module to stabilize and generalize the phase retrieval. The two modules are aggregated in a plug-and-play fashion with the final assembly finetuned using limited training data, essentially encouraging a semi-supervised training. Verification experiments were performed on simulated phase contrast images of histopathological images. The results were compared to those from conventional phase-attenuation duality method.

The deep-learning-augmented reconstruction strategy increases structural similarity and peak signal-to-noise ratio of phase retrieval result by more than 8% and 30%, and reduces root mean squared error by 46% compared with conventional phase-attenuation duality method.

The pilot study of deep learning deployment in in-line X-ray phase-contrast imaging exhibit advantages against conventional methods in terms of spatial resolution and noise robustness.

The pilot study of deep learning deployment in in-line X-ray phase-contrast imaging exhibit advantages against conventional methods in terms of spatial resolution and noise robustness.The feasibility of single-exposure dual-energy imaging (DEI) was investigated in pursuit of motion-artifact-free subtraction angiography. To acquire low- and high-energy images simultaneously from a single X-ray exposure, a sandwich-like multilayered detector was fabricated by configuring two phosphor-coupled photodiode array layers in tandem. A simple analytic model describing the signal in DE-reconstructed images was derived. For the feasibility test, two plastic phantoms with linear arrays of cylindrical holes were prepared to contain iodinated water. One consisted of the same-diameter cylinders with different iodine concentrations, whereas the other had the different-diameter cylinders with the same iodine concentration. The concentration and size discrimination capabilities of single-exposure DEI were evaluated by investigating the phantom images. learn more While the image noise relative to the signal was almost independent of the mass thickness of iodine, the iodine detectability improved with the mass thickness. The detectability performance at a lower tube voltage (e.g. 60 kV) outperformed those at higher voltages, as expected from the model. The results obtained in this study demonstrate the potential applicability of the single-exposure approach to motion-artifact-free subtraction angiography.

Several investigations are being carried since the past decade to use gold nanoparticles' (AuNP) suspensions as contrast agents (CA) for imaging in Computed Tomography. For this, the optimal size of AuNP has received considerable attention, which is addressed here.

In this theoretical study, effective attenuation coefficient for a single spherical shaped AuNP is first calculated from the first principles, as a function of the nanoparticle radius 'r', with μ(E) being the attenuation coefficient of the material for a given energy E. This result is extended to derive a formula for the attenuation coefficient and mass attenuation coefficient of a suspension of AuNP.

It is seen that the effective mass attenuation coefficient of the nanoparticles is a decreasing function of α(E)=2μ(E)r and falls inversely with α(E), for large values of α(E) ≫ 1, there being very little change for α≤1.

The paper shows that for nanoparticles, less than 100nm in diameter the linear attenuation coefficient of the colloidal suspension has no dependence on the nanoparticles' size and depends only on the concentration of nanoparticle material present in the suspension.

The paper shows that for nanoparticles, less than 100 nm in diameter the linear attenuation coefficient of the colloidal suspension has no dependence on the nanoparticles' size and depends only on the concentration of nanoparticle material present in the suspension.Chemical contaminants are becoming an increasingly greater concern for water quality and it is well known that interactions with geochemical interfaces impact the fate and transport of these contaminants in the environment. In this study, we investigated the interactions of one such chemical contaminant, monoethanolamine (MEA), with oxide surfaces, particularly titanium dioxide (TiO2) and iron oxide (α-Fe2O3). Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy was used to probe the adsorption behavior of MEA on titanium dioxide (TiO2) and iron oxide (α-Fe2O3) nanoparticles as a function of pH and other environmental conditions including concentration and ionic strength. Both the extent and initial rates of adsorption of MEA on these oxide surfaces increases with increasing pH. Adsorption on these oxide surfaces increases with solution concentration until saturation occurs and MEA adsorbs more readily at higher pH. Furthermore, adsorption decreases with increasing ionic strength, demonstrating the importance of electrostatic interactions to this process.