Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-strain laser-based solder joining of mounted lenses

A novel laser-based soldering technique – Solderjet Bumping – using liquid solder droplets in a flux-free process with only localized heating is presented. We demonstrate an all inorganic, adhesive free bonding of optical components and support structures suitable for optical assemblies and instruments under harsh environmental conditions. Low strain bonding suitable for a following high-precision adjustment turning process is presented, addressing components and subsystems for objectives for high power and short wavelengths. The discussed case study shows large aperture transmissive optics (diameter approx. 74 mm and 50 mm) made of fused silica and LAK9G15, a radiation resistant glass, bonded to thermally matched metallic mounts. The process chain of Solderjet Bumping – cleaning, solderable metallization, handling, bonding and inspection – is discussed. This multi-material approach requires numerical modelling for dimensioning according to thermal and mechanical loads. The findings of numerical modelling, process parametrization and environmental testing (thermal and vibrational loads) are presented. Stress and strain introduced into optical components as well as deformation of optical surfaces can significantly deteriorate the wave front of passing light and therefore reduce system performance significantly. The optical performance with respect to stress/strain and surface deformation during bonding and environmental testing were evaluated using noncontact and nondestructive optical techniques: polarimetry and interferometry, respectively. Stress induced surface deformation of less than 100 nm and changes in optical path difference below 5 nm were achieved. Bond strengths of about 55 MPa are reported using tin-silver-copper soft solder alloy.
Visit-to-visit variability in blood pressure and kidney disease progression in IgA nephropathy

ABSTRACT Background The visit-to-visit variability (VVV) in blood pressure (BP) is an important risk factor for stroke and coronary heart disease and may also be associated with kidney damage and the development of chronic kidney disease (CKD). Data on the association between VVV in BP and the risk of CKD progression among patients with immunoglobulin A nephropathy (IgAN) are limited. We aimed to evaluate the relationships of VVV in BP with the progression of IgAN. Methods We assessed 1376 patients with IgAN at Peking University First Hospital. The main VVV in BP was expressed as the standard deviation (SD), coefficient of variation (CV) and average real variability (ARV). The associations of variability in BP with composite kidney disease progression events, defined as a 50% decline in estimated glomerular filtration rate (eGFR) and kidney failure, were examined using Cox models. Results During a median follow-up of 44.1 months (interquartile range 23.0–76.7), 247 (18.0%) patients experienced composite kidney disease progression events. With a higher SD in systolic BP (SBP) values, the risk of kidney disease progression events increased {hazard ratio [HR] 1.07 [95% confidence interval (CI) 1.03–1.11]; P < . 001} after maximal adjustment, including baseline SBP and mean SBP during the first 12-month period. Using the first quartile of SD SBP values as the reference, the risk of composite kidney disease progression events was higher among patients with higher SD SBP values; the HR was 2.12 (95% CI 1.31–3.44) in the highest quartile (P for trend < .001). A similar trend could be observed when analysing the SD of diastolic BP, but the risk was not significantly increased. The associations were similar when analysed with the CV and ARV. Conclusion SBP variability was significantly associated with kidney disease progression in IgAN.
Quantitative evaluation of functional liver reserve using the liver-to-spleen ΔR1 ratio based on gadoxetic acid-enhanced MRI: corrected for the effect of gadoxetic acid dose

Background The liver T1 reduction rate can be used to assess liver function. However, higher doses of gadoxetic acid may shorten the liver T1 value in the hepatobiliary phase and increase the T1 reduction rate in patients with severe liver dysfunction, potentially overestimating liver function. Purpose To verify the relationship between the gadoxetic acid dose and the liver T1 reduction rate and ΔR1 of the liver and spleen, and to clarify whether the ΔR1 of hepatocytes, corrected for the effect of gadoxetic acid dose, could be used as an index of functional liver reserve. Material and Methods We enrolled 13 patients with normal liver function (NLF); and 18, 8, and 3 patients with Child-Pugh classes A (CPA), B (CPB), and C (CPC) who underwent gadoxetic acid-enhanced magnetic resonance imaging. Phase-sensitive inversion recovery sequence was performed before and at 15 min after injection and T1 maps were calculated. Liver and spleen ΔR1, liver T1 reduction rate, and the liver-to-spleen ΔR1 ratio were calculated. Results Only the liver-to-spleen ΔR1 ratio showed no correlation with gadoxetic acid dose in any group. The T1 reduction rate was not significantly different between the CPA and CPB + CPC groups. The liver-to-spleen ΔR1 ratio significantly differed between all groups. Conclusion The liver and spleen ΔR1 was dependent on the dose of gadoxetic acid in severe liver dysfunction. The liver-to-spleen ΔR1 ratio improves the delineation of the CPA and CPB + CPC groups.
Snapshots of urea‐induced early structural changes and unfolding of an ankyrin repeat protein at atomic resolution

Protein folding and unfolding is a complex process, underscored by the many proteotoxic diseases associated with misfolded proteins. Mapping pathways from a native structure to an unfolded protein or vice versa, identifying the intermediates, and defining the role of sequence and structure en route remain outstanding problems in the field. It is even more challenging to capture the events at atomistic resolution. X‐ray diffraction has so far been used to understand how urea interacts with and unfolds two stable globular proteins. Here, we present the case study on PSMD10Gankyrin, a prototype for a moderately stable, non‐globular repeat protein, long and rigid, with its termini located at either end. We define structural changes in the time dimension using low urea concentrations to arrive at the following conclusions. (a) Unfolding is rapidly initiated at the C‐terminus, slowly at the N‐terminus, and proceeds inwards from both ends. (b) C‐terminus undergoes an α to 310 helix transition, representing the structure of a potential early unfolding intermediate before disorder sets in. (c) Distinct and progressive changes in the electrostatic landscape of PSMD10Gankyrin were observed, indicative of conformational changes in the seemingly inflexible motif involved in protein–protein interaction. We believe this unique study will open up the field for better and bolder queries and increase the choice of model proteins for a better understanding of the challenging problems of protein folding, protein interactions, protein degradation, and diseases associated with misfolding.
Chemical Characterization, Antioxidant, Antimicrobial, Cytotoxicity and in Silico Studies of Hexane Extract and Essential Oils from Citrus limon Leaves

The present study investigates the chemical composition, antioxidant and antimicrobial bioactivities of essential oil and hexane extract from Citrus limon leaves. The isolation of essential oil was carried out using the Clevenger apparatus. The percentage yield of essential oil and hexane extract from Citrus limon leaves was 0.59 and 0.50 %, respectively. 2,2‐Diphenyl‐1‐picrylhydrazyl (DPPH) scavenging assay highlighted that Citrus limon leaves essential oil (CLEO) and hexane extract exhibited the significant antioxidant potential of 69.64 and 67.55 %, respectively, compared to the BHT standard. Similarly, a significant inhibition in linoleic acid peroxidation was recorded in both CLEO (81.93 %) and hexane extract (50.34 %). Characterization of chemical constituents in CLEO and extract was executed using GC/MS, where Limonene was detected as a major compound in CLEO (60.52 %) and hexane extract (73.62 %). The haemolytic activity ranged from 2.46 to 5.75 % revealing negligible cytotoxicity of CLEO and hexane extract. In silico studies agree with the in vitro antimicrobial studies, where vinimalol, taraxasterol, and moretenol present in CLEO showed strong interactions/inhibition against dihydroorotase and DNA gyrase from E. coli, and the tyrosyl‐tRNA synthetase and DNA gyrase from S. aureus. Based on the current data, it may be concluded that both CLEO and hexane extract possessed significant bioactivities, such as antimicrobial and antioxidant activity, with minimal cytotoxicity.
WKB Method and Relativistic Potential Models

Based on the Dirac approach we have developed the relativistic vision of the WKB method for centrally symmetrical potential with mixed Lorenz structure. We have obtained relativistic wavefunctions of light quark and the new rule of quantization containing the spin-orbit interaction. These gives us the possibility of ﬁnding the energy levels and decay width of hydrogen-like quark-systems.
Occupational balance of Spanish occupational therapists – a challenge

Abstract Background Occupational balance is a central aspect in occupational therapy. Awareness of occupational balance/imbalance among occupational therapists could influence the orientation of their professional interventions. Objective To describe and compare the occupational balance status of occupational therapists working in Spain. Material and methods Cross-sectional descriptive study using an online questionnaire. Participants were occupational therapists working in Spain who answered a questionnaire including 22 questions on the sociodemographic and employment data and the Spanish version of the Occupational Balance Questionnaire (OBQ-E) ranging 0–65 where higher ratings equal better occupational balance. Results A total of 648 currently working occupational therapists participated. Mostly women, with median age of 32 years, without partner, children, or dependents. The median OBQ-E was 37 (IQR = 27; 45). Statistically significant differences were found between the medians of participants varying in the categories ‘hired as an occupational therapist’, weekly work hours, and population working with children and adults. Conclusions and Significance Spanish occupational therapists presented a moderate occupational balance that varied between subgroups. Professional recognition, working hours, and the population they attend are aspects that influence their occupational balance. Knowledge of occupational therapists’ occupational balance could contribute to the development of policies aimed at promoting it.
Genome-wide profiling of histone modifications in Plasmodium falciparum using CUT&RUN

We present a detailed step-wise protocol for reliable genome-wide profiling of histone modifications using CUT&RUN that requires only low numbers of Plasmodium falciparum blood stages. We recently adapted a CUT&RUN protocol for genome-wide profiling of chromatin modifications in the human malaria parasite Plasmodium. Using the step-by-step protocol described below, we were able to generate high-quality profiles of multiple histone modifications using only a small fraction of the cells required for ChIP-seq. Using antibodies against two commonly profiled histone modifications, H3K4me3 and H3K9me3, we show here that CUT&RUN profiling is highly reproducible and closely recapitulates previously published ChIP-seq-based abundance profiles of histone marks. Finally, we show that CUT&RUN requires substantially lower sequencing coverage for accurate profiling compared with ChIP-seq.
Correlation of miR-24-3p and miR-595 expression with CCL3, CCL4, IL1-beta, TNFalphaIP3, and NF-kappaBIalpha genes in PBMCs of patients with coronary artery disease

Inflammation has been well recognized to play an important role in developing coronary artery disease (CAD). By regulating essential genes in this pathway post-transcriptionally, MicroRNAs (miRNAs) may help or hinder the development of atherosclerotic lesions. The aim of this study was to investigate the expression of miR-24-3p, miR-595, CCL3, CCL4, IL-1β, TNFαIP3, and NF-κBIα in the peripheral blood mononuclear cells (PBMCs) of CAD and control groups and to examine whether any correlation exists between the expression of miRs and genes in CAD group. A total of 168 subjects (84 CAD subjects and 84 control subjects) were examined in this research. Expression levels of miR-24-3p, miR-595, CCL3, CCL4, IL-1β, TNFαIP3, and NF-κBIα in PBMCs were measured using the real-time PCR technique. A comparison of the CAD group with the control group indicated significantly increased expression levels of CCL3, CCL4, and IL-1β (Fold Change (FC)=4, P=0.009; FC=2.9, P=0.01; FC=1.8, P=0.019, respectively) and remarkably reduced expression levels of TNFαIP3 and NF-κBIα (FC=-1.4, P=0.03 and FC=-5.9, P=0.001, respectively). Moreover, the expression levels of miR-24-3p downregulated (FC=-2.5, P=0.005) and miR-595 upregulated (FC=1.9, P=0.009) in the CAD group. There was a statistical correlation between the number of clogged arteries with expression levels of miR-24-3p, miR-595, CCL3, CCL4, IL-1β, TNFαIP3, and NF-κBIα in the CAD group. Also, there was a statistical correlation between expression levels of miR-24-3p and miR-595 with CCL3, CCL4, IL-1β, TNFαIP3, and NF-κBIα gene expression in the CAD group. In CAD patients, decreased expression of miR-24-3p and increased expression of miR-595 may aid the progression of atherosclerotic plaques by regulating CCL3, CCL4, IL-1β, TNFαIP3, and NF-κBIα gene expression.
Parameter quantization in fractal image coding

The present paper considers quantization of the parameters in a block-based fractal coding algorithm. First, the coding principle is explained. In contrast to more commonly used fractal coder variants, our method yields uncorrelated parameters within each image block. We analyze the statistical properties of the parameters in question, and suggest scalar quantization techniques based on these properties, as well as on a simple mathematical analysis of the effects of quantization. Finally, the quantization strategies suggested are tried out on a number of real world images. The results show that the loss of quality relative to using unquantized parameters is quite low. <<ETX>>
Harmonic spinors from twistors and potential forms

Symmetry operators of twistor spinors and harmonic spinors can be constructed from conformal Killing-Yano forms. Transformation operators relating twistors to harmonic spinors are found in terms of potential forms. These constructions are generalized to gauged twistor spinors and gauged harmonic spinors. The operators that transform gauged twistor spinors to gauged harmonic spinors are found. Symmetry operators of gauged harmonic spinors in terms of conformal Killing-Yano forms are obtained. Algebraic conditions to obtain solutions of the Seiberg-Witten equations are discussed.
Toward Efficient Deep Learning for Graph Drawing (DL4GD)

Due to their great performance in many challenges, Deep Learning (DL) techniques keep gaining popularity in many fields. They have been adapted to process graph data structures to solve various complicated tasks such as graph classification and edge prediction. Eventually, they reached the Graph Drawing (GD) task. This article is an extended version of the previously published (DNN)2 and presents a framework to leverage DL techniques for graph drawing (DL4GD). We demonstrate how it is possible to train a Deep Learning model to extract features from a graph and project them into a graph layout. The method proposes to leverage efficient Convolutional Neural Networks, adapting them to graphs using Graph Convolutions. The graph layout projection is learned by optimizing a cost function that does not require any ground truth layout, as opposed to prior work. This paper also proposes an implementation and benchmark of the framework to study its sensitivity to certain deep learning-related conditions. As the field is novel, and many questions remain to be answered, we do not focus on finding the most optimal implementation of the method, but rather contribute toward a better understanding of the approach potential. More precisely, we study different learning strategies relative to the models training datasets. Finally, we discuss the main advantages and limitations of DL4GD.
Database for queries of melanoma cohorts with molecular and clinical data

Large genome‐scale studies are deposited in various public sequence repositories. However, their access and analysis can be non‐trivial to infrequent users. Here, we present a new database connecting whole transcriptomes with clinical data for straight‐forward access and analysis of patient‐specific samples. Users can perform association tests of survival and gene expression across different cohorts, identify cell‐type expressions, or correlate the presence of immune cells. In summary, we present a new data hub for bench scientists to perform replication and discovery studies.
Evaluating the performance of machine‐learning regression models for pharmacokinetic drug–drug interactions

Combination therapy or concomitant drug administration can be associated with pharmacokinetic drug–drug interactions, increasing the risk of adverse drug events and reduced drug efficacy. Thus far, machine‐learning models have been developed that can classify drug–drug interactions. However, to enable quantification of the pharmacokinetic effects of a drug–drug interaction, regression‐based machine learning should be explored. Therefore, this study investigated the use of regression‐based machine learning to predict changes in drug exposure caused by pharmacokinetic drug–drug interactions. Fold changes in exposure relative to substrate drug monotherapy were collected from 120 clinical drug–drug interaction studies extracted from the Washington Drug Interaction Database and SimCYP compound library files. Drug characteristics (features) were collected such as structure, physicochemical properties, in vitro pharmacokinetic properties, cytochrome P450 metabolic activity, and population characteristics. Three different regression‐based supervised machine‐learning models were then applied to the prediction task: random forest, elastic net, and support vector regressor. Model performance was evaluated using fivefold cross‐validation. Strongest performance was observed with support vector regression, with 78% of predictions within twofold of the observed exposure changes. The results show that changes in drug exposure can be predicted with reasonable accuracy using regression‐based machine‐learning models trained on data available early in drug discovery. This has potential applications in enabling earlier drug–drug interaction risk assessment for new drug candidates.
Magnetotransport studies of superconducting Pr4Fe2As2Te1-xO4

We report a study of the electrical transport properties of single crystals of Pr(4)Fe(2)As(2)Te(1-)xO(4), a recently discovered iron-based superconductor. Resistivity, Hall effect, and magnetoresistance are measured in a broad temperature range revealing the role of electrons as dominant charge carriers. The significant temperature dependence of the Hall coefficient and the violation of Kohler's law indicate multiband effects in this compound. The upper critical field and the magnetic anisotropy are investigated in fields up to 16 T, applied parallel and perpendicular to the crystallographic c axis. Hydrostatic pressure up to 2 GPa linearly increases the critical temperature and the resistivity residual ratio. A simple two-band model is used to describe the transport and magnetic properties of Pr4Fe2As2Te1-xO4. The model can successfully explain the strongly temperature-dependent negative Hall coefficient and the high magnetic anisotropy, assuming that the mobility of electrons is higher than that of holes.
Association Between Blood Urea Nitrogen Levels and Length of Stay in Patients with Pneumonic Chronic Obstructive Pulmonary Disease Exacerbation: A Secondary Analysis Based on a Multicentre, Retrospective Cohort Study

Purpose High blood urea nitrogen (BUN) is associated with an elevated risk of mortality in various diseases, such as heart failure and pneumonia. Heart failure and pneumonia are common comorbidities of chronic obstructive pulmonary disease (COPD) exacerbation. However, data on the relationship of BUN levels with length of stay (LOS) in patients with pneumonic COPD exacerbation are sparse. The purpose of this study was to evaluate the correlation between BUN levels and LOS in a cohort of patients with pneumonic COPD exacerbation. Patients and Methods The present study was a multicentre, retrospective cohort study. A total of 1226 patients with pneumonic COPD exacerbation were included through a validated algorithm derived from the 10th revision of the International Classification of Diseases and Related Health Problems (ICD-10). It should be noted that the entire study was completed by Shiroshita et al, who uploaded the data to the DATADRYAD website. The author only used these data for secondary analysis. Results After adjusting for potential confounders (age, gender), a nonlinear relationship was detected between BUN levels less than 40 mg/dl and LOS. The effect sizes and the confidence intervals on the left and right sides of the inflection point were 0.27 (0.16, 0.39) and −0.17 (−0.34, 0.01), respectively. Conclusion High levels of BUN in the hospital may be associated with increased LOS. BUN was positively related to LOS when BUN was less than 40 mg/dl.
Spin Flips and Precession in Black-Hole-Binary Mergers

We use the ‘moving puncture’ approach to perform fully non-linear evolutions of spinning quasicircular black-hole binaries with individual spins unaligned with the orbital angular momentum. We evolve configurations with the individual spins (parallel and equal in magnitude) pointing in the orbital plane and 45-degrees above the orbital plane. We introduce a technique to measure the spin direction and track the precession of the spin during the merger, as well as measure the spin flip in the remnant horizon. The former configuration completes 1.75 orbits before merging, with the spin precessing by 98-degrees and the final remnant horizon spin flipped by � 72-degrees with respect to the component spins. The latter configuration completes 2.25 orbits, with the spins precessing by 151-degrees and the final remnant horizon spin flipped � 34-degrees with respect to the component spins. These simulations show for the first time how the spins are reoriented during the final stage of binary black hole mergers verifying the hypothesis of the spin-flip phenomenon. We also compute the track of the holes before merger and observe a precession of the orbital plane with frequency similar to the orbital frequency and amplitude increasing with time.