Miracle-dz/UniFAR-FTUs huggingface dataset:
Re: Vaginal seeding or vaginal microbial transfer from the mother to the caesarean‐born neonate: a commentary regarding clinical management

data in Hesselman et al. did not describe pelvic adhesion sites. Furthermore, details of the CS suture methods, such as involving one or two layers of the uterine myometrium, closure of vesicouterine fold tissue and closure of the peritoneum, were not provided. Swedish obstetricians may or may not use an adhesion barrier during CS. Adhesion barriers are now often used to reduce adhesions in the obstetrics and gynaecology fields. Carboxymethylcellulose sodium hyaluronate and sodium hyaluronate have been informally used to create adhesion barriers. More information on the Swedish methods would be valuable. It would also be useful to explore the interactions among the increasing numbers of CS, maternal age, overweight status, operative methods used, and infection and adhesion frequencies. Women are increasingly concerned about adhesions developing after surgery. The data provided in Hesselman et al. constitute ‘big data’, valuable to obstetricians, and can be used to explore complications associated with adhesions. &
Toyota beamline (BL33XU) at SPring-8

The Toyota beamline (BL33XU) at SPring-8 is an undulator beamline developed to assist in the study of various automotive-related materials. The light source is a tapered in-vacuum undulator that provides a variable energy band width as well as a high brilliance X-ray beam. Two different optical arrangements are available: Optics 1 and Optics 2. Optics 1 is dedicated to time-resolved X-ray absorption spectroscopy (XAFS), and consists of two channel-cut crystal monochromators and four water-cooled flat Si mirrors. The Si(111) and Si(220) monochromator crystals cover an energy range of 4.0–46.0 keV and are driven by high-speed AC servo motors. These monochromators, in conjunction with the tapered undulator, enable high-quality XAFS data acquisition with a temporal resolution of 10 ms. Optics 2 is optimized for X-ray diffraction, scattering and imaging and includes a recently installed double crystal monochromator, two water-cooled flat Si mirrors and Kirkpatrick-Baez (KB) focusing mirrors. The monochromator .
Electrochemical metallization cells—blending nanoionics into nanoelectronics?

A range of material systems exist in which nanoscale ionic transport and redox reactions provide the essential mechanisms for memristive switching. One class relies on mobile cations, which are easily created by electrochemical oxidation of the corresponding electrode metal, transported in the insulating layer, and reduced at the inert counterelectrode. These devices are termed electrochemical metallization (ECM) memories, also called conductive bridge random access memories. The memristive characteristics of the ECM cells provide opportunities for circuit design and computational concepts that go beyond those in traditional complementary metal oxide semiconductor (CMOS) technology. Passive memory arrays open up paths toward ultradense and 3D stackable memory and logic gate arrays. Furthermore, the multivalued conductance characteristics allow for potential exploitation of the cells as synapses in neuromorphic circuits in future energy efficient high-performance computer architectures. Despite exciting results obtained in recent years, many challenges have to be met before these physical effects can be turned into competitive industrial technology. Here, we briefly review the basic working principle, the different possible and potential material combinations, and the fundamental electrochemical processes in ECM cells and their implications for device operations. The prospects of ECM-based resistive random access memory as an emerging memory technology are also reviewed in terms of switching speed and scalability.
Yi Shen Juan Bi Pill Ameliorates Bone Loss and Destruction Induced by Arthritis Through Modulating the Balance of Cytokines Released by Different Subpopulations of T Cells

The Yi Shen Juan Bi Pill (YSJB), a traditional Chinese compound herbal drug, has been used as an anti-rheumatic drug in clinical practice. Cartilage and bone destruction of inflamed joints is the hallmark of rheumatoid arthritis (RA). Our previous study suggested that YSJB had a protective effect on joint damage in collagen-induced (CIA) rats. However, the role and the mechanism of YSJB in inflammation-induced bone loss are unavailable. The current study aimed to further evaluate the effect of YSJB on the joint destruction and the systemic bone loss, and to clarify the potential mechanism. CIA model was generated by using collagen II and incomplete Freund's adjuvant in Sprague-Dawley rats. After 4 weeks treatment, arthritic index, tissue pathology, micro-computed tomography scanning (μ-CT), and bone mineral density (BMD) analysis were performed. YSJB decreased arthritic scores and bone destruction; improved the BMD of lumbar vertebrae and bone volume fraction of inflamed joints. Moreover, YSJB significantly decreased the production of serum bone resorption markers, including Tartrate-Resistant Acid Phosphatase (TRACP), N-terminal telopeptide of type I collagen and C-terminal telopeptide of type I collagen. Meanwhile, it increased the level of serum bone formation marker type I collagen N-terminal propeptide. These results revealed that YSJB ameliorated bone destruction and reduced bone loss induced by arthritis. We have previously showed that Tregs inhibited osteoclast differentiation and bone resorption in vitro. Furthermore, others suggested that abnormality of Th1, Th17 may contribute to bone destruction. Here, we showed YSJB significantly up-regulated the percentage of Tregs, while also down-regulated the percentage of Th1 and Th17 cells. Our findings provide the evidence that YSJB ameliorates the severity of disease and joint degradation, and reduces systemic bone loss induced by arthritis. We propose YSJB modulates the balance of T cell phenotype, which affects the activation and differentiation of osteoclasts.
Quantifying the effect of light activated outer and inner retinal inhibitory pathways on glutamate release from mixed bipolar cells.

Inhibition mediated by horizontal and amacrine cells in the outer and inner retina, respectively, are fundamental components of visual processing. Here, our purpose was to determine how these different inhibitory processes affect glutamate release from ON bipolar cells when the retina is stimulated with full‐field light of various intensities. Light‐evoked membrane potential changes (ΔVm) were recorded directly from axon terminals of intact bipolar cells receiving mixed rod and cone inputs (Mbs) in slices of dark‐adapted goldfish retina. Inner and outer retinal inhibition to Mbs was blocked with bath applied picrotoxin (PTX) and NBQX, respectively. Then, control and pharmacologically modified light responses were injected into axotomized Mb terminals as command potentials to induce voltage‐gated Ca2+ influx (QCa) and consequent glutamate release. Stimulus‐evoked glutamate release was quantified by the increase in membrane capacitance (ΔCm). Increasing depolarization of Mb terminals upon removal of inner and outer retinal inhibition enhanced the ΔVm/QCa ratio equally at a given light intensity and inhibition did not alter the overall relation between QCa and ΔCm. However, relative to control, light responses recorded in the presence of PTX and PTX + NBQX increased ΔCm unevenly across different stimulus intensities: at dim stimulus intensities predominantly the inner retinal GABAergic inhibition controlled release from Mbs, whereas the inner and outer retinal inhibition affected release equally in response to bright stimuli. Furthermore, our results suggest that non‐linear relationship between QCa and glutamate release can influence the efficacy of inner and outer retinal inhibitory pathways to mediate Mb output at different light intensities.
Effect of age on acute toxicity of cadmium, copper, nickel, and zinc in individual‐metal exposures to Daphnia magna neonates

In previous studies, variability was high among replicate acute cadmium (Cd) Daphnia magna lethality tests (e.g., >10‐fold range of median effect concentrations [EC50s]), less among zinc (Zn) tests, and relatively low for copper (Cu) and nickel (Ni) tests. Although the US Environmental Protection Agency's (USEPA's) protocol includes starting toxicity tests with neonates less than 24 h old, the authors hypothesized that age‐related differences in sensitivity to metals might occur even within that relatively narrow age range. Daphnia magna neonates were collected during 3 age windows (0–4 h, 10–14 h, and 20–24 h old) and immediately exposed to each of the 4 metals for 48 h using the standard USEPA protocol. In repeated sets of tests during different weeks, the Cd EC50 of the youngest neonates was approximately 10‐fold greater than the EC50 of the oldest neonates (i.e., Cd was less toxic to the youngest neonates) and the EC50 of neonates aged 10 h to 14 h was intermediate. Age‐related differences were negligible in Cu, Ni, and Zn tests. Therefore, variability in toxicity of Cd may partly be caused by temporal variability in neonate age at the start of toxicity tests. Decreasing the age range of D. magna used in toxicity tests could help to improve the accuracy and precision of toxicity models, particularly for metal mixtures. Environ Toxicol Chem 2017;36:113–119. © 2016 SETAC
Analytical Nonlinear Shrinkage of Large-Dimensional Covariance Matrices

This paper introduces a nonlinear shrinkage estimator of the covariance matrix that does not require recovering the population eigenvalues first. We estimate the sample spectral density and its Hilbert transform directly by smoothing the sample eigenvalues with a variable-bandwidth kernel. Relative to numerically inverting the so-called QuEST function, the main advantages of direct kernel estimation are: (1) it is much easier to comprehend because it is analogous to kernel density estimation; (2) it is only twenty lines of code in Matlab — as opposed to thousands — which makes it more verifiable and customizable; (3) it is 200 times faster without significant loss of accuracy; and (4) it can handle matrices of a dimension larger by a factor of ten. Even for dimension 10, 000, the code runs in less than two minutes on a desktop computer; this makes the power of nonlinear shrinkage as accessible to applied statisticians as the one of linear shrinkage.
Multiple Shape Memory, Self-Healable, and Supertough PAA-GO-Fe3+ Hydrogel

A multiple shape memory and self-healing poly(acrylic acid)-graphene oxide-Fe3+ (PAA-GO-Fe3+) hydrogel with supertough strength is synthesized containing dual physically cross-linked PAA network by GO and Fe3+. The first GO cross-linked hydrogel can be reversibly reinforced by immersing in FeCl3/HCl and pure water and softened by immersing in HCl. The tensile strength is 2.5 MPa with the break strain of 700%. Multiple shape memory capability is found depending on this unique feature, the hydrogel can be fixed in four temporary shapes by adjusting the immersing time in FeCl3/HCl and pure water, and recovered in sequence by immersing in HCl. This hydrogel also exhibits perfect self-healing behavior, the cut as-prepared hydrogel is almost completely healed by immersing in FeCl3/HCl. Besides, the hydrogel shows enhanced electrical conductivity with the presence of GO and Fe3+. This supertough hydrogel provides a new way to design soft actuators.
On the Dynamics of Small-Scale Solar Magnetic Elements

We report on the dynamics of the small-scale solar magnetic field, based on analysis of very high resolution images of the solar photosphere obtained at the Swedish Vacuum Solar Telescope. The data sets are movies from 1 to 4 hr in length, taken in several wavelength bands with a typical time between frames of 20 s. The primary method of tracking small-scale magnetic elements is with very high contrast images of photospheric bright points, taken through a 12 A bandpass filter centered at 4305 A in the Fraunhofer 'G band. ' Previous studies have established that such bright points are unambiguously associated with sites of small-scale magnetic flux in the photosphere, although the details of the mechanism responsible for the brightening of the flux elements remain uncertain. The G band bright points move in the intergranular lanes at speeds from 0.5 to 5 km/s. The motions appear to be constrained to the intergranular lanes and are primarily driven by the evolution of the local granular convection flow field. Continual fragmentation and merging of flux is the fundamental evolutionary mode of small-scale magnetic structures in the solar photosphere. Rotation and folding of chains or groups of bright points are also observed. The timescale for magnetic flux evolution in active region plage is on the order of the correlation time of granulation (typically 6-8 minutes), but significant morphological changes can occur on timescales as short as 100 S. Smaller fragments are occasionally seen to fade beyond observable contrast. The concept of a stable, isolated subarcsecond magnetic 'flux tube' in the solar photosphere is inconsistent with the observations presented here.
Low Serum Cholesterol and Suicide

“Primary prevention trials which have shown that the lowering of serum cholesterol concentrations in middle-aged subjects by diet, drugs, or both leads to a decrease in coronary heart disease have also reported an increase in deaths due to suicide or violence. There has been no adequate explanation for this association. I have reviewed the relevant published work and describe a physiological mechanism that might account for this curious finding. One of the functions of serotonin in the central nervous system is the suppression of harmful behaviour impulses. When mouse brain synaptosomal membrane cholesterol is increased there is a pronounced increase in the number of serotonin receptors. Low membrane cholesterol decreases the number of serotonin receptors. Since membrane cholesterol exchanges freely with cholesterol in the surrounding medium, a lowered serum cholesterol concentration may contribute to a decrease in brain serotonin, with poorer suppression of aggressive behaviour. ”
Enhancement of teaching outcome through neural prediction of the students' knowledge state

The neural mechanism for the dyadic process of teaching is poorly understood. Although theories about teaching have proposed that before any teaching takes place, the teacher will predict the knowledge state of the student(s) to enhance the teaching outcome, this theoretical Prediction‐Transmission hypothesis has not been tested with any neuroimaging studies. Using functional near‐infrared spectroscopy‐based hyperscanning, this study measured brain activities of the teacher–student pairs simultaneously. Results showed that better teaching outcome was associated with higher time‐lagged interpersonal neural synchronization (INS) between right temporal‐parietal junction (TPJ) of the teacher and anterior superior temporal cortex (aSTC) of the student, when the teacher's brain activity preceded that of the student. Moreover, time course analyses suggested that such INS could mark the quality of the teaching outcome at an early stage of the teaching process. These results provided key neural evidence for the Prediction‐Transmission hypothesis about teaching, and suggested that the INS plays an important role in the successful teaching.
History and Emergence of Zika Virus

Zika virus was discovered in East Africa in 1947 by the Rockefeller Foundation during investigations on the ecology of yellow fever. Although it was subsequently shown to have widespread distribution in Africa and Asia, it was not known to cause epidemics until 2007. This paper describes the history of the virus discovery, emergence and evolution as an epidemic virus, and the its evolving clinical spectrum.
University of Huddersfield Repository A six-gene phylogeny provides new insights into choanoflagellate evolution

Recent studies have shown that molecular phylogenies of the choanoﬂagellates (Class Choanoﬂagellatea) are in disagreement with their traditional taxonomy, based on morphology, and that Choanoﬂagellatea requires considerable taxonomic revision. Furthermore, phylogenies suggest that the morphological and ecological evolution of the group is more complex than has previously been recognized. Here we address the taxonomy of the major choanoﬂagellate order Craspedida , by erecting four new genera. The new genera are shown to be morphologically, ecologically and phylogenetically distinct from other choanoﬂagellate taxa. Furthermore, we name ﬁve novel craspedid species, as well as formally describe ten species that have been shown to be either misidentiﬁed or require taxonomic revision. Our revised phylogeny, including 18 new species and sequence data for two additional genes, provides insights into the morphological and ecological evolution of the choanoﬂagellates. We examine the distribution within choanoﬂagellates of these two additional genes, EF-1A and EFL, closely related translation GTPases which are required for protein synthesis. Mapping the presence and absence of these genes onto the phylogeny highlights multiple events of gene loss within the choanoﬂagellates.
Clarify function]

The biggest obstacle in understanding large software systems is the sheer quantity of information that has to be explicitly remembered by a programmer. Our ability to understand a system directly determines the ease with which it can be modified, maintained or extended; programmers are hence in need of techniques which, when applied, result in systems that can be understood quickly and effectively. In this paper, some practical techniques for constructing such "highly understandable" systems are presented. The paper starts with an analysis of how we humans understand a system --- it is demonstrated that we do so by identifying the functions of various entities in it. On the basis of this important observation, the argument for naming entities by the function that they perform is developed. Some concrete rules for naming procedures, variables, pointers, etc. are subsequently suggested and the reasons why these rules should obviate the need to remember are explored. We further argue why inability to name according to the given criteria should be interpreted as an indication of poor quality of the system. Thus, we conclude that the way to construct systems that can be understood quickly and effectively is to name entities in the system by the function that they perform.
Bias in Hazard Ratios Arising From Misclassification According to Self-Reported Weight and Height in Observational Studies of Body Mass Index and Mortality

Misclassification of body mass index (BMI) categories arising from self-reported weight and height can bias hazard ratios in studies of BMI and mortality. We examined the effects on hazard ratios of such misclassification using national US survey data for 1976 through 2010 that had both measured and self-reported weight and height along with mortality follow-up for 48,763 adults and a subset of 17,405 healthy never-smokers. BMI was categorized as <22.5 (low), 22.5-24.9 (referent), 25.0-29.9 (overweight), 30.0-34.9 (class I obesity), and ≥35.0 (class II-III obesity). Misreporting at higher BMI categories tended to bias hazard ratios upwards for those categories, but that effect was augmented, counterbalanced, or even reversed by misreporting in other BMI categories, in particular those that affected the reference category. For example, among healthy male never-smokers, misclassifications affecting the overweight and the reference categories changed the hazard ratio for overweight from 0.85 with measured data to 1.24 with self-reported data. Both the magnitude and direction of bias varied according to the underlying hazard ratios in measured data, showing that findings on bias from one study should not be extrapolated to a study with different underlying hazard ratios. Because of misclassification effects, self-reported weight and height cannot reliably indicate the lowest-risk BMI category.
An ILS algorithm to evaluate structural balance in signed social networks

Evaluating balance in a social network has been a challenge for social network researchers. The degree of balance in a social group can be used as a tool to study whether and how this group evolves to a possible balanced state. In particular, the solution of the Correlation Clustering (CC) problem can be used as a criterion to measure the amount of balance in signed social networks, where positive (friendly) and negative (antagonistic) interactions take place. In this work, we provide an efficient solution of the CC problem by the use of the ILS metaheuristic. The proposed algorithm outperforms other solution strategies from literature in execution time, with the same solution quality.
EFFECT OF TOBACCO SMOKE ON ROS PRODUCTION AND INFLAMMATION IN RATS OF DIFFERENT AGE.

The aim of our study was to investigate the effect of tobacco smoke on the content of reactive oxygen species (ROS) and level of cytokines in blood of rats of different age groups. For the purpose of carrying out the dosage, the beards of the white mongrel male rats were sub-divided into three groups: immature, mature and senile rats. Rat experimental groups were exposed to tobacco smoke daily for 45 days. The model of dependence on the chronic action of tobacco smoke was created using a sealed chamber in volume of 30 liters, which allowed to immerse animals in free behavior. Blood and blood serum was used for research. The isolation of neutrophils and lymphocytes from the blood was carried out by the method of gradient centrifugation on the double gradient of density ficol-verografin. The ROS production level was analyzed according to the intensity of the fluorescence. The immune enzyme method, using test systems in the blood serum, determined the level of proinflammatory cytokine, interleukin 6 (IL-6) and anti-inflammatory - interleukin 4 (IL-4). It was found that exposure to tobacco smoke in rats developed oxidative stress, as evidenced by increased formation of ROS in neutrophils and blood lymphocytes of all the study groups of animals. In this case, the level of ROS depends not only on the age of the animals, but also on the duration of the action of tobacco smoke. In the blood serum of all age groups of rats, pronounced changes in IL-6 content were observed on the 45th day of exposure to tobacco smoke. The highest IL-6 content was observed in immature rats at the end of the experiment. At the same time, the content of anti-inflammatory cytokine IL-4 was significantly decreased in all age groups of animals. The results indicate an imbalance between the level of pro- and anti-inflammatory cytokines, in particular IL-6 and IL-4. The result of exposure to tobacco smoke is the development of oxidative stress and inflammatory processes that depend on the duration of the smoke, its concentration, the age of the animals, and other biologically active constituents.