Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of arterial blood perfusion pressure on vascular conductance and muscle blood flow at rest and exercise

The adaptations of vessel diameter represented by vascular conductance (VC), muscle blood flow (MBF) and oxygen delivery (DO2est) were investigated during rest and exercise using the effects of gravity to manipulate muscle perfusion pressure (MPP) by placing the heart above (head-up tilt) and below (head-down tilt) the level of the muscle. This experimental paradigm was used to explore VC and MBF regulation and related control mechanisms during rest and exercise. Study 1 tested the repeatability of Doppler ultrasound measurements of muscle blood flow velocity (MBV), arterial diameter, MBF and VC. The adaptations in VC and MBF (Study 2) and changes in anterograde and retrograde MBV patterns (Study 3) were investigated during postural challenges at rest. Study 4, determined the peak VC and its fractional recruitment during transitions from rest to lower (LPO) and higher power output (HPO) calf muscle exercise in HDT and HUT. Study 5 investigated the combined effects of altered MPP and hypoxia during exercise. During rest-HDT, increases in VC compensated for the MPP reduction to maintain MBF, while in rest-HUT, MBF was reduced. Following the start of LPO and HPO exercises, MBF and VC responses were delayed in HDT and accelerated in HUT. During LPO, MBF steadystate was reduced in HUT compared to horizontal (HOR), while the greater increase in VC during HDT maintained MBF at a similar level as HUT. Post-exercise MBF recovered rapidly in all positions after LPO exercise but did not after HPOHDT. During HPOHDT, MBF was reduced despite the increase in VC, while in HPOHUT MBF was similar to that in HPOHOR. The hypoxic challenge added in exercise was met during LPOHDT by increased VC to compensate reduced MPP and O2 availability such that MBF maintained DO2est. However, during HPOHDT in hypoxia, VC reached maximal vasodilatory capacity, compromising MBF and DO2est. Together, these findings indicate that LPOHDT in normoxia or hypoxia VC increased to maintain MBF and DO2est, but during HPO functional limitation for recruitment of VC constrained MBF and DO2 in normoxia and hypoxia. Elevated muscle electromyograpic signals in HPOHDT were consistent with challenged aerobic metabolism. MPP reduction in HDT caused slower adaptation of MBF limiting O2 availability would result in a greater O2 deficit that could contribute to an increase in the relative stress of the exercise challenge and advance the onset of muscle fatigue.
Zebrafish as a Model to Study Autism Spectrum Disorder Caused by Environmental Chemicals Exposure

Copyright: © 2016 Shen C, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Autism spectrum disorder (ASD) is a behaviorally defined, neurodevelopmental disorder with increasing reported prevalence worldwide [1,2]. ASD is a serious debilitating mental illness affecting approximately 1-2% of the general population [3-5]. Individuals with ASD display a wide range of symptoms, including difficulty with social interaction and communication skills, restricted activities and interests, and repetitive behavior [6,7]. ASD is a polygenic disorder with multiple genetic determinants and candidate genes [3]. More than 200 autism susceptibility genes have been identified to date, and complex patterns of inheritance, such as oligogenic heterozygosity, appear to contribute to the etiopathgenesis of autism [8]. Although genetics plays a crucial role in ASD, evidence suggests that environmental chemicals are consistently associated with increased risk of ASD [9].
The bRPS6-Family Protein RFC3 Prevents Interference by the Splicing Factor CFM3b during Plastid rRNA Biogenesis in Arabidopsis thaliana

Plastid ribosome biogenesis is important for plant growth and development. REGULATOR OF FATTY ACID COMPOSITION3 (RFC3) is a member of the bacterial ribosomal protein S6 family and is important for lateral root development. rfc3-2 dramatically reduces the plastid rRNA level and produces lateral roots that lack stem cells. In this study, we isolated a suppressor of rfc three2 (sprt2) mutant that enabled recovery of most rfc3 mutant phenotypes, including abnormal primary and lateral root development and reduced plastid rRNA level. Northern blotting showed that immature and mature plastid rRNA levels were reduced, with the exception of an early 23S rRNA intermediate, in rfc3-2 mutants. These changes were recovered in rfc3-2 sprt2-1 mutants, but a second defect in the processing of 16S rRNA appeared in this line. The results suggest that rfc3 mutants may be defective in at least two steps of plastid rRNA processing, one of which is specifically affected by the sprt2-1 mutation. sprt2-1 mutants had a mutation in CRM FAMILY MEMBER 3b (CFM3b), which encodes a plastid-localized splicing factor. A bimolecular fluorescence complementation (BiFC) assay suggested that RFC3 and SPRT2/CFM3b interact with each other in plastids. These results suggest that RFC3 suppresses the nonspecific action of SPRT2/CFM3b and improves the accuracy of plastid rRNA processing.
Development of a 3D human osteoblast cell culture model for studying mechanobiology in orthodontics.

OBJECTIVES Mechanobiology phenomena constitute a major element of the cellular and tissue response during orthodontic treatment and the implantation of a biomaterial. Better understanding these phenomena will improve the effectiveness of our treatments. The objective of this work is to validate a model of three-dimensional (3D) culture of osteoblasts to study mechanobiology. MATERIALS AND METHODS The hFOB 1.19 cell line was cultured either traditionally on a flat surface or in aggregates called spheroids. They were embedded in 0.8% low-melting agarose type VII and placed in a polyethylene terephthalate transwell insert. Compressive forces of 1 and 4 g/cm2 were applied with an adjustable weight. Proliferation was evaluated by measuring diameters, monitoring glucose levels, and conducting Hoechst/propidium iodide staining. Enzyme-linked immunosorbent assays focusing on the pro-inflammatory mediators interleukin (IL)-6 and IL-8 and bone remodelling factor osteoprotegerin were performed to evaluate soluble factor synthesis. quantitative reverse transcription-polymerase chain reaction was performed to evaluate bone marker transcription. RESULTS The 3D model shows good cell viability and permits IL dosing. Additionally, three gene expression profiles are analysable. LIMITATIONS The model allows analysis of conventional markers; larger exploration is needed for better understanding osteoblast mechanobiology. However, it only allows an analysis over 3 days. CONCLUSION The results obtained by applying constant compressive forces to 3D osteoblastic cultures validate this model system for exploring biomolecule release and analysing gene transcription. In particular, it highlights a disturbance in the expression of markers of osteogenesis.
Biomarkers for the Noninvasive Diagnosis of Endometriosis: State of the Art and Future Perspectives

Background: Early and accurate diagnosis of endometriosis is crucial for the management of this benign, yet debilitating pathology. Despite the advances of modern medicine, there is no common ground regarding the pathophysiology of this disease as it continues to affect the quality of life of millions of women of reproductive age. The lack of specific symptoms often determines a belated diagnosis. The gold standard remains invasive, surgery followed by a histopathological exam. A biomarker or a panel of biomarkers is easy to measure, usually noninvasive, and could benefit the clinician in both diagnosing and monitoring the treatment response. Several studies have advanced the idea of biomarkers for endometriosis, thereby circumventing unnecessary invasive techniques. Our paper aims at harmonizing the results of these studies in the search of promising perspectives on early diagnosis. Methods: We selected the papers from Google Academic, PubMed, and CrossRef and reviewed recent articles from the literature, aiming to evaluate the effectiveness of various putative serum and urinary biomarkers for endometriosis. Results: The majority of studies focused on a panel of biomarkers, rather than a single biomarker and were unable to identify a single biomolecule or a panel of biomarkers with sufficient specificity and sensitivity in endometriosis. Conclusion: Noninvasive biomarkers, proteomics, genomics, and miRNA microarray may aid the diagnosis, but further research on larger datasets along with a better understanding of the pathophysiologic mechanisms are needed.
The Effect of Transforming Growth Factor β1, and Tumor Necrosis Factor α on the Cytotoxic-Cytostatic Action of Interleukin-1 (α and β Isoforms) on the Pancreatic B Cell Line Rin-5ah

The rat pancreatic β cell line RIN-5AH was treated with the cytokines IL-1 (α and β), TNFα and TGF-β1, in order to examine at the clonal level the reported mostly cytotoxic effects of IL-1, on isolated islets of Langerhans and islet cell preparations. In contrast to what has been previously reported for whole islets and islet cell preparations we find that IL-1 (α or β) is not cytotoxic to the RIN-5AH cells in logarithmic growth phase to any extent, even at very high cytokine concentrations (125 nM). Furthermore, TNFα does not in any way potentiate IL-1 cytotoxicity. Transforming growth factor-β1 (TGF-β1) at concentrations of 80 pM to 2 nM, has a potentiating effect on IL-1 cytotoxicity (conc. 5 nM) for this clonal cell line. The effect is proportional to the level of TGF-β1 present and is exerted regardless of the IL-1 isoform used. The effects of the various cytokines, alone or in combination, were only observed at high (25 mM) glucose concentrations, and no such effects were observed at the physiological (5 mM) glucose concentration. Furthermore the combination of TGF-β1 and IL-1 inhibits the release of insulin by these cells, whereas either cytokine alone has no effect. We conclude that the RIN-5AH cells in showing little cytotoxic/cytostatic response to IL-1 are responding more as isolated β cells than as cells within islets. The potentiation of the action of IL-1 by TGF-β1 on these cells is a matter of further investigation.
Magnetic Solid-Phase Extraction of Organic Compounds Based on Graphene Oxide Nanocomposites

Graphene oxide (GO) is a chemical compound with a form similar to graphene that consists of one-atom-thick two-dimensional layers of sp2-bonded carbon. Graphene oxide exhibits high hydrophilicity and dispersibility. Thus, it is difficult to be separated from aqueous solutions. Therefore, functionalization with magnetic nanoparticles is performed in order to prepare a magnetic GO nanocomposite that combines the sufficient adsorption capacity of graphene oxide and the convenience of magnetic separation. Moreover, the magnetic material can be further functionalized with different groups to prevent aggregation and extends its potential application. Until today, a plethora of magnetic GO hybrid materials have been synthesized and successfully employed for the magnetic solid-phase extraction of organic compounds from environmental, agricultural, biological, and food samples. The developed GO nanocomposites exhibit satisfactory stability in aqueous solutions, as well as sufficient surface area. Thus, they are considered as an alternative to conventional sorbents by enriching the analytical toolbox for the analysis of trace organic compounds.
Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis †

In the last years, the need for new efficient video compression methods grown rapidly as frame resolution has increased dramatically. The Joint Collaborative Team on Video Coding (JCT-VC) effort produced in 2013 the H.265/High Efficiency Video Coding (HEVC) standard, which represents the state of the art in video coding standards. Nevertheless, in the last years, new algorithms and techniques to improve coding efficiency have been proposed. One promising approach relies on embedding direction capabilities into the transform stage. Recently, the Steerable Discrete Cosine Transform (SDCT) has been proposed to exploit directional DCT using a basis having different orientation angles. The SDCT leads to a sparser representation, which translates to improved coding efficiency. Preliminary results show that the SDCT can be embedded into the HEVC standard, providing better compression ratios. This paper presents a hardware architecture for the SDCT, which is able to work at a frequency of 188MHz, reaching a throughput of 3.00 GSample/s. In particular, this architecture supports 8k UltraHigh Definition (UHD) (7680 × 4320) with a frame rate of 60 Hz, which is one of the best resolutions supported by HEVC.
The Models of Used Virtual Reality Technology in Sports

: Wearable technologies are being used to monitor performance real time, big data is helping coaches analyze athletes so that they can be improved further and hypobaric chambers that simulate high altitude environment are being used by wrestlers and other combat athletes to train in low oxygen environments to condition their cardiovascular systems. However, while all these technologies focus on making athletes physically better, the psychological component has been missing. It is said that sports are 90% mental and 10% physical, so, suffice to say, there is a lot of scope for improvement as tools to help athletes win the mind game are finally here in the form of virtual reality. Because training is only as good as the sense of immersion it can imparts and the closer a simulation approximates real life conditions, the more an athlete can learn from it. Now, if sports were all about having the greatest endurance and strength, then the results would always be predictable, which would frankly be quite boring No, it’s the skills with which sportsmen and women exhibit while in the heat of the moment, as they gracefully intercept and react to their opponents that makes sports truly exciting, and this is where VR can help them. Imagine a baseball player who can practice his swings as many times he wants against a virtual representation of his opponent. Not only can he analyze the intricacies of his throw, but the simulation can be setup to let the batter practice at his or her own level.
Dietary Polyphenol Intake is Associated with HDL-Cholesterol and A Better Profile of other Components of the Metabolic Syndrome: A PREDIMED-Plus Sub-Study

Dietary polyphenol intake is associated with improvement of metabolic disturbances. The aims of the present study are to describe dietary polyphenol intake in a population with metabolic syndrome (MetS) and to examine the association between polyphenol intake and the components of MetS. This cross-sectional analysis involved 6633 men and women included in the PREDIMED (PREvención con DIeta MEDiterranea-Plus) study. The polyphenol content of foods was estimated from the Phenol-Explorer 3.6 database. The mean of total polyphenol intake was 846 ± 318 mg/day. Except for stilbenes, women had higher polyphenol intake than men. Total polyphenol intake was higher in older participants (>70 years of age) compared to their younger counterparts. Participants with body mass index (BMI) >35 kg/m2 reported lower total polyphenol, flavonoid, and stilbene intake than those with lower BMI. Total polyphenol intake was not associated with a better profile concerning MetS components, except for high-density lipoprotein cholesterol (HDL-c), although stilbenes, lignans, and other polyphenols showed an inverse association with blood pressure, fasting plasma glucose, and triglycerides. A direct association with HDL-c was found for all subclasses except lignans and phenolic acids. To conclude, in participants with MetS, higher intake of several polyphenol subclasses was associated with a better profile of MetS components, especially HDL-c.
An Origami Heat Radiation Fin for Use in a Stretchable Thermoelectric Generator

Recently, some studies have addressed the use of a folded substrate to realize stretchable electronic devices including stretchable thermoelectric generators (TEGs). However, the utilization of the folded substrate as a heat radiation fin has not been achieved. Herein, we have proposed the construction of a TEG with an origami-like folded structure substrate called an “origami-fin” that can achieve a high heat radiation performance and is also highly stretchable. The origami-fin increases the stretchability of the TEG by bending a non-stretchable material into a folded shape, and it also works as a heat radiator because of its large surface area compared to that of a flat structure. We evaluated the heat radiation performance of the origami-fin and the stability of the performance when it was stretched. The results demonstrate that the origami-fin works as a heat radiator and enhances the output of the TEG, while also exhibiting a high stretchability with only a slight output reduction.
DeepAVP: A Dual-Channel Deep Neural Network for Identifying Variable-Length Antiviral Peptides

Antiviral peptides (AVPs) have been experimentally verified to block virus into host cells, which have antiviral activity with decapeptide amide. Therefore, utilization of experimentally validated antiviral peptides is a potential alternative strategy for targeting medically important viruses. In this article, we propose a dual-channel deep neural network ensemble method for analyzing variable-length antiviral peptides. The LSTM channel can capture long-term dependencies for effectively studying original variable-length sequence data. The CONV channel can build dynamic neural network for analyzing the local evolution information. Also, our model can fine-tune the substitution matrix for specifically functional peptides. Applying it to a novel experimentally verified dataset, our AVPs predictor, DeepAVP, demonstrates state-of-the-art performance of $\text{92.4}\%$ accuracy and 0.85 MCC, which is far better than existing prediction methods for identifying antiviral peptides. Therefore, DeepAVP, web server for predicting the effective AVPs, would make significantly contributions to peptide-based antiviral research.
Cross-Sectional Dimension Dependence of Electroosmotic Flow in Fractal Treelike Rectangular Microchannel Network

The present work theoretically and numerically studies the electroosmotic flow (EOF) within a fractal treelike rectangular microchannel network with uniform channel height. To obtain minimum EOF fluidic resistance, the microchannel cross-sectional dimensions of the fractal network are optimized. It is found that the cross-sectional dimension dependence of EOF fluidic resistance within a symmetric fractal network is only dependent on the channel width when the total channel volume is constant, and the optimal microchannel widths to reach the minimum EOF fluidic resistance satisfy the scaling law of κ = N−1 (where κ is the width ratio of the rectangular channels at two successive branching levels, N is the branching number); however, for the symmetric fractal network with constant total surface area, the optimal cross-sectional dimensions should simultaneously satisfy κ = N−1 and H=S4l01−γN1−(γN)m+1 (where H is the channel height, S is the total channel surface area, l0 is the channel length at the original branching level, γ is the channel length ratio at two successive branching levels and m is the total branching level) to obtain the minimum EOF fluidic resistance. The optimal scaling laws established in present work can be used for the optimization design of the fractal rectangular microchannel network for EOF to reach maximum transport efficiency.
Alcohol Metabolizing Enzymes, Microsomal Ethanol Oxidizing System, Cytochrome P450 2E1, Catalase, and Aldehyde Dehydrogenase in Alcohol-Associated Liver Disease

Once ingested, most of the alcohol is metabolized in the liver by alcohol dehydrogenase to acetaldehyde. Two additional pathways of acetaldehyde generation are by microsomal ethanol oxidizing system (cytochrome P450 2E1) and catalase. Acetaldehyde can form adducts which can interfere with cellular function, leading to alcohol-induced liver injury. The variants of alcohol metabolizing genes encode enzymes with varied kinetic properties and result in the different rate of alcohol elimination and acetaldehyde generation. Allelic variants of these genes with higher enzymatic activity are believed to be able to modify susceptibility to alcohol-induced liver injury; however, the human studies on the association of these variants and alcohol-associated liver disease are inconclusive. In addition to acetaldehyde, the shift in the redox state during alcohol elimination may also link to other pathways resulting in activation of downstream signaling leading to liver injury.
One-Pot Production of RNA in High Yield and Purity Through Cleaving Tandem Transcripts

There is an increasing demand for efficient and robust production of short RNA molecules in both pharmaceutics and research. A standard method is in vitro transcription by T7 RNA polymerase. This method is sequence-dependent on efficiency and is limited to products longer than ~12 nucleotides. Additionally, the native initiation sequence is required to achieve high yields, putting a strain on sequence variability. Deviations from this sequence can lead to side products, requiring laborious purification, further decreasing yield. We here present transcribing tandem repeats of the target RNA sequence followed by site-specific cleavage to obtain RNA in high purity and yield. This approach makes use of a plasmid DNA template and RNase H-directed cleavage of the transcript. The method is simpler and faster than previous protocols, as it can be performed as one pot synthesis and provides at the same time higher yields of RNA.
Phonological Knowledge in Typical and Atypical Speech and Language Development: Nature, Assessment, and Treatment Phonological Knowledge in Typical and Atypical Speech and Language Development: Nature, Assessment, and Treatment

This article discusses four types of phonological knowledge: knowledge the acoustic and perceptual characteristics of speech sounds (perceptual knowledge), knowledge of the articulatory characteristics of speech sounds (articulatory knowledge), higher-level knowledge of the ways that words can be divided into sounds, and sounds can be combined into meaningful sequences in words (higher-level phonological knowledge), and knowledge of the ways that variation in pronunciation can be used to convey social identity (social-indexical knowledge). The first section of the article discusses the nature of these types of knowledge in adults. The second describes how they develop in children with typical language development. The third section outlines how different types of knowledge may be compromised in children with functional language impairments and phonological impairments. The fourth section discusses ways to assess each type of phonological knowledge. The fifth section discusses different ways to facilitate growth in these different types of phonological knowledge. Together, these five sections serve as a review for practicing clinicians of the types of phonological knowledge that underlie accurate and fluent speech production, with suggestions for how to use existing assessment and treatment protocols to measure and facilitate them.