Miracle-dz/UniFAR-FTUs huggingface dataset:
A peroxidase-like magneto-gold nanozyme AuNC@Fe3O4 with photothermal effect for induced cell apoptosis of hepatocellular carcinoma cells in vitro

Hepatocellular carcinoma (HCC) is one of the most commonly diagnosed and malignant cancers worldwide. Conventional therapy strategies may not completely eradicate the tumor and may cause side effects during treatment. Nano-catalytic therapy, as a novel strategy, has attracted a great deal of attention. This study aimed to synthesize a multifunctional magneto-gold nanozyme AuNC@Fe3O4 and evaluate its anti-cancer potential in HepG2 cells in vitro. The characteristics of AuNC@Fe3O4 were assessed using a transmission electron microscope, dynamic light scattering, and energy-dispersive X-ray. The photothermal performance and peroxidase (POD)-like activity of AuNC@Fe3O4 were detected, using thermal camera and ultraviolet-visible spectrophotometer, respectively. The anti-cancer potential of AuNC@Fe3O4 was examined using cell counting kit-8, live/dead cell staining, and apoptosis analysis. Further research on HepG2 cells included the detection of intracellular reactive oxygen species (ROS) and lysosomal impairment. We observed that the AuNC@Fe3O4 had a small size, good photothermal conversion efficiency and high POD-like activity, and also inhibited cell proliferation and enhanced cell apoptotic ability in HepG2 cells. Furthermore, the AuNC@Fe3O4 enhanced ROS production and lysosomal impairment via the synergistic effect of photothermal and nano-catalytic therapies, which induced cell death or apoptosis. Thus, the magneto-gold nanozyme AuNC@Fe3O4 may offer a potential anti-cancer strategy for HCC.
Measurement of the Hall coefficient using van der Pauw method without magnetic field reversal

The van der Pauw geometry has been widely used for the measurement of resistivities and Hall coefficients. Although the measurement of a Hall coefficient requires a finite magnetic field, it should be noted that van der Pauw’s expression is valid only in the limit of zero field; in addition to the Hall contribution, measurements in a finite magnetic field generally include a term associated with field‐induced changes in the longitudinal resistivity. Although a simple solution to this problem entails taking the difference between readings in opposite field directions, there are circumstances where this may be impractical. In this note we present a straightforward extension of the van der Pauw calculation which allows a determination of the Hall coefficient from quantities measured in one field direction only.
The Local Online Media Professionalism Over Candidate Framing Inside Pacitan Election 2020

The Pacitan Local Leaders Election (Pilkada Pacitan) 2020 must both run democratically and prioritize the citizens’ health in the time of the Covid-19 pandemic. Besides, Pacitan local online media are firstly allowed under regulations (PKPU No 13, 2020) to achieve the success of the elections. From this first-time involvement, the local online media are dealt with various interests trying to attract journalists or online media to stand with one or the other candidate pairs. To meet the purpose, the researchers employed qualitative research methods using framing analysis. In this case, Edelman framing analysis, with categorization choice by highlighting and eliminating other aspects, aims at building an opinion. In conformity with the results, the local online media are not neutral. Further, the news text framing of the online media professionalism in reporting the Pacitan Pilkada was as follows: 1) political culture in Pacitan, 2) ethical competence, 3) legal competence, 4) knowledge competence. Those competencies must be possessed by a journalist. Even more, they were carrying out political activities such as the 2020 Pilkada. The professionalism of journalists was necessarily needed, especially in Indonesia’s democratic party implementation to elect legislative and executive leaders who were truly coming from the people’s soul.
Classical and Bayesian Estimations on the Generalized Exponential Distribution Using Censored Data

In this paper, we obtain Bayesian and non-Bayesian estimators for the shape parameter, reliability and failure rate functions of the Generalized-Exponential distribution in the case of complete and type-II censored samples. The Bayes estimators are obtained using symmetric and asymmetric loss functions. Comparisons are made between these estimators using Monte-Carlo simulation study.
Genome-Wide Identification, Molecular Characterization, and Involvement in Response to Abiotic and Biotic Stresses of the HSP70 Gene Family in Turbot (Scophthalmus maximus)

Heat shock proteins 70 (HSP70s) are known to play essential roles in organisms’ response mechanisms to various environmental stresses. However, no systematic identification and functional analysis has been conducted for HSP70s in the turbot (Scophthalmus maximus), a commercially important worldwide flatfish. Herein, 16 HSP70 genes unevenly distributed on nine chromosomes were identified in the turbot at the genome-wide level. Analyses of gene structure, motif composition, and phylogenetic relationships provided valuable data on the HSP70s regarding their evolution, classification, and functional diversity. Expression profiles of the HSP70 genes under five different stresses were investigated by examining multiple RNA-seq datasets. Results showed that 10, 6, 8, 10, and 9 HSP70 genes showed significantly up- or downregulated expression after heat-induced, salinity-induced, and Enteromyxum scophthalmi, Vibrio anguillarum, and Megalocytivirus infection-induced stress, respectively. Among them, hsp70 (hspa1a), hspa1b, and hspa5 showed significant responses to each kind of induced stress, and qPCR analyses further validated their involvement in comprehensive anti-stress, indicating their involvement in organisms’ anti-stress mechanisms. These findings not only provide new insights into the biological function of HSP70s in turbot adapting to various environmental stresses, but also contribute to the development of molecular-based selective breeding programs for the production of stress-resistant turbot strains in the aquaculture industry.
Optical Time-Mapped Spectrograms (II): Fractional Talbot Designs

Real-time implementations of joint time-frequency analysis over instantaneous bandwidths above the GHz range remain challenging. In a companion paper, we have proposed an analog photonic processing scheme that enables computing a short-time Fourier transform (STFT), or spectrogram (SP), of an incoming arbitrary broadband signal, over tens-of-GHz analysis bandwidths, in a continuous, gapless and real-time manner. The proposed method involves a temporal sampling of the signal under test (SUT) with a periodic train of interfering, linearly chirped optical pulses followed by group-velocity dispersion to map the spectra of consecutive and overlapping truncated sections of the SUT along the time domain. This scheme offers a notable design versatility to customize the performance specifications of the computed SP, but it generally involves a sub-optimal non-uniform sampling of the SUT and it requires the use of a bulky and expensive pulsed optical source. In this communication, we show that this previous general scheme can be easily configured to ensure an optimal, uniform sampling of the SUT by simply setting the involved dispersive lines to satisfy a fractional self-imaging condition, while keeping all the advantages (e.g., design versatility) of the original scheme. Moreover, the resulting design is further adapted to entirely avoid the need for a pulsed source, using instead a more efficient and simpler phase-only temporal sampling of the SUT, e.g., implemented through electro-optic phase modulation. We derive the design conditions and performance trade-offs of the proposed time-mapped STFT schemes based on dispersion-induced fractional Talbot self-imaging. Through numerical simulations and experimental demonstration, we confirm the potential of this simple and efficient approach for real-time SP analysis of arbitrary signals over instantaneous bandwidths above a few tens of GHz, with MHz frequency resolutions and ultrahigh processing speeds, approaching billions of FTs per second.
Bounds for the upper-tail probabilities of the circular ratchet scan statistic

For the case of grouped data, the ratched scan statistic has been introduced as an alternative to the continuous circular scan statistic. Because the computation of the exact distribution of the circular ratchet scan statistic becomes infeasible for large sample sizes, a normal approximation for its upper percentiles has been proposed. This article derives upper and lower bounds of degree two for the upper-tail probabilities of a generalized circular ratchet scan statistic.
The Asymmetric Effects of Weather Shocks on Euro Area Inflation

This paper assesses the impact of weather shocks on inflation components in the four largest euro area economies. We combine high-frequency weather data with monthly data on inflation and output growth within a set of Bayesian Vector Autore-gressions which explicitly considers the seasonal dependence of the shock. Results suggest the presence of significant country asymmetries and seasonal responses of inflation to temperature shocks, mainly via food, energy, and service prices. An increase in monthly mean temperatures has inflationary effects in summer and autumn, with a stronger response in warmer euro area countries. An increase in temperature variability has significant upward impacts on inflation rates over and above the impacts of changes in means.
A comparative study of GLS finite elements with velocity and pressure equally interpolated for solving incompressible viscous flows

A comparative study of the bi‐linear and bi‐quadratic quadrilateral elements and the quadratic triangular element for solving incompressible viscous flows is presented. These elements make use of the stabilized finite element formulation of the Galerkin/least‐squares method to simulate the flows, with the pressure and velocity fields interpolated with equal orders. The tangent matrices are explicitly derived and the Newton–Raphson algorithm is employed to solve the resulting nonlinear equations. The numerical solutions of the classical lid‐driven cavity flow problem are obtained for Reynolds numbers between 1000 and 20 000 and the accuracy and converging rate of the different elements are compared. The influence on the numerical solution of the least square of incompressible condition is also studied. The numerical example shows that the quadratic triangular element exhibits a better compromise between accuracy and converging rate than the other two elements. Copyright © 2008 John Wiley & Sons, Ltd.
New experimental evidence for pervasive dynamics in proteins

There is ample computational, but only sparse experimental data suggesting that pico‐ns motions with 1 Å amplitude are pervasive in proteins in solution. Such motions, if present in reality, must deeply affect protein function and protein entropy. Several NMR relaxation experiments have provided insights into motions of proteins in solution, but they primarily report on azimuthal angle variations of vectors of covalently‐linked atoms. As such, these measurements are not sensitive to distance fluctuations, and cannot but under‐represent the dynamical properties of proteins. Here we analyze a novel NMR relaxation experiment to measure amide proton transverse relaxation rates in uniformly 15N labeled proteins, and present results for protein domain GB1 at 283 and 303 K. These relaxation rates depend on fluctuations of dipolar interactions between 1HN and many nearby protons on both the backbone and sidechains. Importantly, they also report on fluctuations in the distances between these protons. We obtained a large mismatch between rates computed from the crystal structure of GB1 and the experimental rates. But when the relaxation rates were calculated from a 200 ns molecular dynamics trajectory using a novel program suite, we obtained a substantial improvement in the correspondence of experimental and theoretical rates. As such, this work provides novel experimental evidence of widespread motions in proteins. Since the improvements are substantial, but not sufficient, this approach may also present a new benchmark to help improve the theoretical forcefields underlying the molecular dynamics calculations.
Subspace-Based System Identification for an Acoustic Enclosure

This paper is aimed at identifying a dynamical model for an acoustic enclosure, a duct with rectangular cross section, closed ends, and side-mounted speaker enclosures. Acoustic enclosures are known to be resonant systems of high order In order to design a high performance feedback controller for an acoustic enclosure, one needs to have an accurate model of the system. Subspace-based system identification techniques have proven to be an efficient means of identifying dynamics of high order highly resonant systems. In this paper a frequency domain subspace-based method together with a second iterative optimization step minimizing a frequency domain least-squares criterion is successfully employed to identify a dynamical model for an acoustic enclosure.
HyperSfM

We propose a novel algorithm that solves the Structure from Motion problem in a divide and conquer manner by exploiting its bipartite graph structure. Recursive partitioning has a rich history, stemming from sparse linear algebra and finite element methods, and are also appealing for solving large-scale SfM problems. However, an important and less explored question is how to generate good partitionings for SfM that divide the problem into fully-constrained sub-problems. Here we introduce HyperSfM, a principled way to recursively divide an SfM problem using a hyper graph representation, in which finding edge separators yields the desired "nested-dissection" style tree of nonlinear sub-problems. After partitioning, a bottom-up computation pass solves the SfM problem robustly (by having fully constrained sub-problems) and efficiently (because most nonlinear error is removed at lower levels of the tree). The performance of the algorithm is demonstrated for various indoor and outdoor standard data-sets.
A Broadband Circularly Polarized Antenna with Stable Gain Based on Square Slotted Ground

In this paper, a circularly polarized (CP) low cost, low profile antenna with broadband stable gain is proposed. The antenna consists of a grounded square slot with two inverted-L shaped microstrips, an asymmetrical Y-shaped microstrip radiator with a stub, and several fine tuning elements. The CP radiation is first realized by using the Y-shaped microstrip line, which incorporates a stub is to realize better impedance matching. Next, by utilizing two Inverted-L microstrips into the corners of the grounded slot, the axial ratio (AR) characteristic can be further improved. A wider AR bandwidth (ARBW) can be achieved by utilizing four rectangular strips as fine tuning elements. Simulation results show the proposed antenna demonstrates a radiation with a CP bandwidth of 50% and a stable gain with average value of 5.18 dBi.
Dynamical Evolution of Closely Packed Multiple Planetary Systems Subject to Atmospheric Mass Loss

A gap in exoplanets’ radius distribution has been widely attributed to the photoevaporation threshold of their progenitors’ gaseous envelope. Giant impacts can also lead to substantial mass loss. The outflowing gas endures tidal torque from the planets and their host stars. Alongside the planet–star tidal and magnetic interaction, this effect leads to planets’ orbital evolution. In multiple super-Earth systems, especially in those that are closely spaced and/or contain planets locked in mean motion resonances, modest mass loss can lead to dynamical instabilities. In order to place some constraints on the extent of planets’ mass loss, we study the evolution of a series of idealized systems of multiple planets with equal masses and a general scaled separation. We consider mass loss from one or more planets either in the conservative limit or with angular momentum loss from the system. We show that the stable preservation of idealized multiple planetary systems requires either a wide initial separation or a modest upper limit in the amount of mass loss. This constraint is stringent for the multiple planetary systems in compact and resonant chains. Perturbation due to either impulsive giant impacts between super-Earths or greater than a few percent mass loss can lead to dynamical instabilities.
Generalizable Model Design for Clinical Event Prediction using Graph Neural Networks

While many machine learning and deep learning-based models for clinical event prediction leverage various data elements from electronic healthcare records such as patient demographics and billing codes, such models face severe challenges when tested outside of their institution of training. These challenges are rooted in differences in patient population characteristics and medical practice patterns of different institutions. We propose a solution to this problem through systematically adaptable design of graph-based convolutional neural networks (GCNN) for clinical event prediction. Our solution relies on unique property of GCNN where data encoded as graph edges is only implicitly used during prediction process and can be adapted after model training without requiring model re-training. Our adaptable GCNN-based prediction models outperformed all comparative models during external validation for two different clinical problems, while supporting multimodal data integration. These results support our hypothesis that carefully designed GCNN-based models can overcome generalization challenges faced by prediction models.
Trophic transfer of polyunsaturated fatty acids across the aquatic–terrestrial interface: An experimental tritrophic food chain approach

Abstract Aquatic and their adjacent terrestrial ecosystems are linked via the flux of organic and inorganic matter. Emergent aquatic insects are recognized as high‐quality food for terrestrial predators, because they provide more physiologically relevant long‐chain polyunsaturated fatty acids (PUFA) than terrestrial insects. The effects of dietary PUFA on terrestrial predators have been explored mainly in feeding trials conducted under controlled laboratory conditions, hampering the assessment of the ecological relevance of dietary PUFA deficiencies under field conditions. We assessed the PUFA transfer across the aquatic–terrestrial interface and the consequences for terrestrial riparian predators in two outdoor microcosm experiments. We established simplified tritrophic food chains, consisting of one of four basic food sources, an intermediary collector gatherer (Chironomus riparius, Chironomidae), and a riparian web‐building spider (Tetragnatha sp.). The four basic food sources (algae, conditioned leaves, oatmeal, and fish food) differed in PUFA profiles and were used to track the trophic transfer of single PUFA along the food chain and to assess their potential effects on spiders, that is, on fresh weight, body condition (size‐controlled measurement of nutritional status), and immune response. The PUFA profiles of the basic food sources, C. riparius and spiders differed between treatments, except for spiders in the second experiment. The PUFA α‐linolenic acid (ALA, 18:3n‐3) and ɣ‐linolenic acid (GLA, 18:3n‐6) were major contributors to the differences between treatments. PUFA profiles of the basic food sources influenced the fresh weight and body condition of spiders in the first experiment, but not in the second experiment, and did not affect the immune response, growth rate, and dry weight in both experiments. Furthermore, our results indicate that the examined responses are dependent on temperature. Future studies including anthropogenic stressors would deepen our understanding of the transfer and role of PUFA in ecosystems.
C-Reactive protein rise in rheumatology patients following COVID-19 vaccination

Abstract Objective The aim was to determine the proportion of patients with inflammatory arthritis who have a flare of their rheumatological disease within 4 weeks of receiving a coronavirus disease 2019 (COVID-19) vaccine, using CRP as a surrogate marker. Methods A retrospective review was conducted of notes for patients with inflammatory arthritis within 30 days of their COVID-19 vaccine. An electronic database (DAWN) was used to identify all patients who were currently on a DMARD or biologic therapy. This was then correlated with vaccine data from the National Immunisation and Vaccination System (NIVS) and CRP within 30 days of their vaccination. Results From the DAWN database, 1620 adults were identified (mean age 61 years, 64% female). Three types of vaccinations were administered: AstraZeneca (AZ), BioNTech-Pfizer or Moderna. Vaccine uptake was 1542 of 1620 (95.2% for the first dose), 1550 of 1620 (95.7% for the second dose) and 1437 of 1620 (88.7% for the third dose). One hundred and ninety-two of 1542 patients (12.5%) had a CRP rise of >10 mg/l within 30 days of their vaccine, which was higher than the baseline flare rate of 8.6% (P = 0.0004). Conclusion Patients with inflammatory arthritis and on DMARDs have a high uptake of COVID-19 vaccine (95%), which is greater than the national average. A CRP rise >10 mg/l within 30 days of vaccination was observed in ∼1 in 10 patients in our study population after all three doses. There might be a slight increase in disease flare in patients with inflammatory arthritis after COVID-19 vaccinations, and additional research is required to assess this association further.
Quantitative Influence of the Steady Non-Reflecting Boundary Conditions on Blade-to-Blade Computations

The initial purpose of this work was to implement steady non-reflecting boundary conditions on an unstructured code to improve the quality of turbomachinery simulations in general and in particular about LPT blades. One of the distinctive characteristics of this type of configurations is the fact that inflow and outflow boundary conditions are located extremely close to the blade and a potential distortion of the flowfield due to the effect of the boundary conditions is expected. It is shown that the improvement due to the use of exact, non-reflecting boundary conditions, although clearly seen in the flowfield, is negligible in practice on the blade and that in subsonic flows its effect is of second order compared to the sensitivity of the solution to small changes on the mesh for distances from the blade to the boundary conditions of about 0.25 chords or larger. © 2000 ASME
Flow and heat transfer in micro systems: Is everything different or just smaller?

In almost all studies on flow and heat transfer published so far deviations from what is known in macro systems occur. Often special micro effects are proposed to explain these unexpected results. From our point of view, however, this approach is misleading. Instead, all systems - micro and macro - as long as they can be described within a continuum theory should be treated uniquely and in a nondimensional form. Then it turns out that micro effects are scaling effects with respect to models developed for macro systems.