Miracle-dz/UniFAR-FTUs huggingface dataset:
STRUCTURAL CHANGES OF THE SUBLIMATION WALL IN PROTOPLANETARY DISKS DUE TO VARYING ACCRETION ILLUMINATION: A MECHANISM FOR RAPID INFRARED VARIABILITY

We study the changes in the sublimation wall structure due to variable illumination of a stellar hot spot on the dusty surroundings of a young star. The model includes the settling of large grains toward the disk midplane and the effect of the vertical density profile on the shaping of the sublimation wall. From a survey of objects in the young cluster IC 348, we extract three objects (LRLL 32, 40, and 63) that present typical variability in the [3.6] and [4.5] IRAC bands. We use the Spitzer photometry and ground-based 2–5 μm spectra for comparison with the models. Even though there is a correlation between accretion luminosity and dust emission based on the observations, we conclude from the modeling that the systems with lower mass accretion rates (LRLL 32 and 63) cannot be explained simply by a variable hot spot illuminating a sublimation wall. The observed variability amplitude for LRLL 40 (the system with the largest value of the mass accretion rate) can be obtained using the mechanism presented here. When considering a wide range of hot spot sizes and temperatures, the models can reproduce the infrared fluctuations seen in recent surveys, but only with accretion rate fluctuations that are orders of magnitude larger than is typically observed. These results highlight the relevance of accretion as a variability mechanism as well as its limitations in producing the full extent of the observed infrared variability.
Why do children cooperate with police? The nexus of the authority relations and cognitive developmental perspectives

Police must rely on the public’s cooperation; however, youths’ views of police are historically low. To understand the dynamics of these intergroup relations, this study integrates two theoretical perspectives: the cognitive developmental perspective, which posits that age-graded cognitive enhancements enable children to begin critically evaluating police; and the group engagement model, which suggests that views of police impact law-related behavior. Utilizing a sample of 424 community youth (37.97% Hispanic/Latinx, 19.81% Native American), this study tested four novel hypotheses: H1: Age is negatively associated with youths’ willingness to cooperate (WTC) with police; H2: Age is negatively associated with normative alignment with police; H3: Normative alignment is positively associated with WTC; and H4: Normative alignment is more strongly associated with older youths’ WTC. All four hypotheses were supported. The article discusses the implications of both the integration of these theoretical perspectives and the findings for understanding the effects of these intergroup dynamics.
Goals and outcomes of police officer communication: Evidence from in-depth interviews

Communication between police and community is an inevitable part of policing. Core narratives—subjective, internal, sense-making processes that can shape behavior—that police officers hold related to communication can influence police–community interactions. There is no known research on core narratives related to police officer communication. To begin to fill the gap, this paper reports the analysis of in-depth interviews conducted to investigate how police officers understand police–community relations and the nature of encounters with community members. Communication emerged as an important theme. Five communication core narrative themes were identified: communication as central, advocacy, cover, withholding, and connection. Four of the core narrative themes were abstracted into two dimensions along which the characteristics of the communication varied. Understanding the core narratives influencing officer intergroup communication can help researchers and practitioners see the larger implications of communication, an essential component of policing and police–community relationships, and its connection to officer behavior.
Boronate affinity monolithic column incorporated with graphene oxide for the in-tube solid-phase microextraction of glycoproteins.

A poly(vinylphenylboronic acid-ethylene glycol dimethacrylate) monolithic material incorporated with graphene oxide was synthesized inside a poly(ether ether ketone) tube. This tube with boronate affinity monolith was coupled with a high-performance liquid chromatography system through a six-port valve to construct an online solid-phase microextraction with high-performance liquid chromatography system. The performance of this solid-phase microextraction with high-performance liquid chromatography system was demonstrated by standard glycoprotein in aqueous samples, namely, horseradish peroxidase. Some parameters that affect the extraction performance were investigated, including sampling rate, pH of sample solution, and sampling volume. Under the optimized conditions, the developed method showed high extraction efficiency toward horseradish peroxidase. The addition of graphene oxide greatly increased the extraction efficiency of boronate affinity monolith for horseradish peroxidase. The limit of detection of the proposed method was as low as 0.01 μg/mL by using ultraviolet detection. The recognition specificity was also evaluated by analyzing the mixture of bovine serum albumin (nonglycoprotein) and horseradish peroxidase. The results showed that this material could selectively extract horseradish peroxidase from the mixture, indicating its good specificity toward glycoproteins. The proposed method was further applied for analyzing rat plasma samples spiked with horseradish peroxidase. Good recovery and repeatability were obtained.
On the structure of double layers in Poisson-Boltzmann equation

We study the solutions to Poisson-Boltzmann equation for electrolytic solutions in a domain $\Omega$, surrounded by an uncharged dielectric medium. We establish existence, uniqueness and regularity of solutions and study in detail their asymptotic behaviour close to $\partial\Omega$ when a characteristic length, called the Debye length, is sufficiently small. This is a double layer with a thickness that changes from point to point along $\partial\Omega$ depending on the normal derivative of a harmonic function outside $\Omega$ and the mean curvature of $\partial\Omega$. We also provide numerical evidence of our results based on a finite elements approximation of the problem.
The Meta-Distribution of Standard P-Values

We present an exact probability distribution (meta-distribution) for p-values across ensembles of statistically identical phenomena, as well as the distribution of the minimum p-value among m independents tests. We derive the distribution for small samples 2 P-values are shown to be extremely skewed and volatile, regardless of the sample size $n$, and vary greatly across repetitions of exactly same protocols under identical stochastic copies of the phenomenon; such volatility makes the minimum p value diverge significantly from the "true" one. Setting the power is shown to offer little remedy unless sample size is increased markedly or the p-value is lowered by at least one order of magnitude.The formulas allow the investigation of the stability of the reproduction of results and "p-hacking" and other aspects of meta-analysis. From a probabilistic standpoint, neither a p-value of . 05 nor a "power" at . 9 appear to make the slightest sense.
Een kwarteeuw over armoede en sociale uitsluiting

In this essay, the author reviews 25 years of sociological research on poverty and social exclusion in Flanders. He does so in following two lines: what has been published on these matters (and on social inequality in general) in the “Tijdschrift voor Sociologie” (the Flemish Journal of sociology) and what were the main developments in the 'outer world'? As the editor of the “Jaarboek Armoede en Sociale Uitsluiting” since 1992, he uses this Yearbook on Poverty and Social Exclusion as a kind of shorthand for 'the outer world'. His main conclusion is that a soft form of paradigmatic shift has occurred somewhere in the 90s, replacing the dominant income approach by a multidimensional approach and by introducing new research methods (qualitative research and network analysis).
Simultaneous trapping-and-detecting surface-enhanced Raman spectroscopy by self-aligned hot-spots

Since surface-enhanced Raman spectroscopy (SERS) makes it possible to enhance weak Raman signals which represent molecular own vibrational transition as a fingerprint, it has gotten much attention in the field of biosensor. Although SERS can detect specific molecules with high sensitivity and selectivity, it is still difficult to fabricate efficient SERS substrates, align ‘hot-spot’ with a detection site, and increase reproducibility for molecular sensing. Here, we converged plasmonic trapping with conventional SERS in order to overcome these drawbacks. As plasmonic trapping is to move nano particles toward the desired position by electric field gradient, we could trap gold nano particles (GNPs) onto a raw bowtie substrate and fabricate self-aligned hot-spots by using plasmonic trapping, which is directly contributed to enhancing weak signals by shortening structure-to-structure distances. Also, since a united laser was used to trap GNPs and to detect target molecules at the same time, it was possible to directly obtain Raman signal on the self-aligned hotspots. To further verify our technique, we also conducted numerical analysis for electric field distribution and trapping force by using finite element method and the results were well matched with the experimental data. This increases low reproducibility of SERS and as a result, we could repetitively obtain same results.
Colloquium: Fractional calculus view of complexity: A tutorial

The fractional calculus has been part of the mathematics and science literature for 310 years. However, it is only in the past decade or so that it has drawn the attention of mainstream science as a way to describe the dynamics of complex phenomena with long-term memory, spatial heterogeneity, along with nonstationary and nonergodic statistics. The most recent application encompasses complex networks, which require new ways of thinking about the world. Part of the new cognition is provided by the fractional calculus description of temporal and topological complexity. Consequently, this Colloquium is not so much a tutorial on the mathematics of the fractional calculus as it is an exploration of how complex phenomena in the physical, social, and life sciences that have eluded traditional mathematical modeling become less mysterious when certain historical assumptions such as differentiability are discarded and the ordinary calculus is replaced with the fractional calculus. Exemplars considered include the fractional differential equations describing the dynamics of viscoelastic materials, turbulence, foraging, and phase transitions in complex social networks.
Prevalence and Incidence of Atrial Fibrillation in Heart Failure with Mildly Reduced or Preserved Ejection Fraction: (Additive) Value of Implantable Loop Recorders

Background: Atrial fibrillation (AF) is common in heart failure with mildly reduced or preserved ejection fraction (HFmrEF/HFpEF) and has a negative impact on outcome. Reliable data on prevalence, incidence, and detection of AF from contemporary, prospective HFmrEF/HFpEF studies are scarce. Methods: This was a prespecified sub-analysis from a prospective, multicenter study. Patients with HFmrEF/HFpEF underwent 12-lead electrocardiography (ECG), 24 h Holter monitoring, and received an implantable loop recorder (ILR) at the study start. During the 2 year follow-up, rhythm monitoring was performed via ILR, yearly ECG, and two yearly 24 h Holter monitors. Results: A total of 113 patients were included (mean age 73 ± 8 years, 75% HFpEF). At baseline, 70 patients (62%) had a diagnosis of AF: 21 paroxysmal, 18 persistent, and 31 permanent AF. At study start, 45 patients were in AF. Of the 43 patients without a history of AF, 19 developed incident AF during a median follow-up of 23 [15–25] months (44%; incidence rate 27.1 (95% confidence interval 16.3–42.4) per 100 person-years). Thus, after the 2-year follow-up, 89 patients (79%) had a diagnosis of AF. In 11/19 incident AF cases (i.e., 58%), AF was solely detected on the ILR. Yearly 12-lead ECG detected six incident AF cases and four of these cases were also detected on two yearly 24 h Holter monitors. Two incident AF cases were detected on an unplanned ECG/Holter. Conclusions: Atrial fibrillation is extremely common in heart failure with HFmrEF/HFpEF and may inform on symptom evaluation and treatment options. AF screening with an ILR had a much higher diagnostic yield than conventional modalities.
Dictionary-based image denoising for dual energy computed tomography

Compared to conventional computed tomography (CT), dual energy CT allows for improved material decomposition by conducting measurements at two distinct energy spectra. Since radiation exposure is a major concern in clinical CT, there is a need for tools to reduce the noise level in images while preserving diagnostic information. One way to achieve this goal is the application of image-based denoising algorithms after an analytical reconstruction has been performed. We have developed a modified dictionary denoising algorithm for dual energy CT aimed at exploiting the high spatial correlation between between images obtained from different energy spectra. Both the low-and high energy image are partitioned into small patches which are subsequently normalized. Combined patches with improved signal-to-noise ratio are formed by a weighted addition of corresponding normalized patches from both images. Assuming that corresponding low-and high energy image patches are related by a linear transformation, the signal in both patches is added coherently while noise is neglected. Conventional dictionary denoising is then performed on the combined patches. Compared to conventional dictionary denoising and bilateral filtering, our algorithm achieved superior performance in terms of qualitative and quantitative image quality measures. We demonstrate, in simulation studies, that this approach can produce 2d-histograms of the high- and low-energy reconstruction which are characterized by significantly improved material features and separation. Moreover, in comparison to other approaches that attempt denoising without simultaneously using both energy signals, superior similarity to the ground truth can be found with our proposed algorithm.
Comparison of positronium, positron and electron collisions with hydrogen at low velocities

Recent experimental findings indicate that at equal velocity electron and ortho-positronium scattering cross sections are similar over a wide range of velocities and targets where both elastic and inelastic processes can take place. We present a comparative study of positronium, positron and electron elastic scattering from atomic hydrogen in order to investigate if a similar behaviour occurs for this target at low velocities where inelastic channels are closed. We calculate elastic cross sections for the three projectiles using Kohn-type variational methods which allows us to make a detailed study of the differences and similarities. We find a qualitative similarity in the spin-weighted elastic integrated cross sections for positronium and electron scattering and a good agreement between the singlet integrated cross sections. However, this agreement does extend to the low velocity region and where the agreement is found in the integrated cross sections we show that it is not present in the individual partial waves cross sections. Interestingly, given the agreement we find in the singlet integrated cross section for electron and positronium scattering, when comparing the overall shapes of the corresponding singlet differential cross sections we find different angular and velocity dependencies.
Automatic Layout Algorithm and Realization of Engineering Drawing Dimension

CAD softwares provide some of automatic dimensioning function in the process of the 2D engineering drawings generated by the 3D model,but the automatically generated dimension is often messy,unable to meet the layout requirements of dimensioning.To solve this problem,this paper uses the existence of a large number of horizontal dimension and vertical dimension for the study,according to their characteristics and inclusion relationship to divide the dimension and the sort,on this basis,the application of incremental layout algorithm for automatic dimensioning to achieve automatic layout of horizontal dimension and vertical dimension in engineering drawing.The algorithm has been realized in the NX platform,and achieved good results.
Aluminum-Doped Zinc Oxide Improved by Silver Nanowires for Flexible, Semitransparent and Conductive Electrodes on Textile with High Temperature Stability

In order to facilitate the design freedom for the implementation of textile-integrated electronics, we seek flexible transparent conductive electrodes (TCEs) that can withstand not only the mechanical stresses encountered during use but also the thermal stresses of post-treatment. The transparent conductive oxides (TCO) typically used for this purpose are rigid in comparison to the fibers or textiles they are intended to coat. In this paper, a TCO, specifically aluminum-doped zinc oxide (Al:ZnO), is combined with an underlying layer of silver nanowires (Ag-NW). This combination brings together the advantages of a closed, conductive Al:ZnO layer and a flexible Ag-NW layer, forming a TCE. The result is a transparency of 20–25% (within the 400–800 nm range) and a sheet resistance of 10 Ω/sq that remains almost unchanged, even after post-treatment at 180 °C.
Optimized K-means: an algorithm of initial centroids optimization for K-means

Performance of K-means algorithm which depends highly on initial starting points can be trapped in local minima and led to incorrect clustering results. The lack of Kmeans algorithm that generates the initial centroids randomly does not consider the placement of them spreading in the feature space. In this paper we propose a new approach to optimize the initial centroids for Kmeans. This approach spreads the initial centroids in the feature space so that the distance among them are as far as possible. Started from the center of the data, this approach chooses each initial centroids those reside in distant position among them. The experimental results show the improved solution using the proposed approach.
Genomic Characterization of Carbapenem-Resistant Bacteria from Beef Cattle Feedlots

Carbapenems are considered a last resort for the treatment of multi-drug-resistant bacterial infections in humans. In this study, we investigated the occurrence of carbapenem-resistant bacteria in feedlots in Alberta, Canada. The presumptive carbapenem-resistant isolates (n = 116) recovered after ertapenem enrichment were subjected to antimicrobial susceptibility testing against 12 different antibiotics, including four carbapenems. Of these, 72% of the isolates (n = 84) showed resistance to ertapenem, while 27% of the isolates (n = 31) were resistant to at least one other carbapenem, with all except one isolate being resistant to at least two other drug classes. Of these 31 isolates, 90% were carbapenemase positive, while a subset of 36 ertapenem-only resistant isolates were carbapenemase negative. The positive isolates belonged to three genera; Pseudomonas, Acinetobacter, and Stenotrophomonas, with the majority being Pseudomonas aeruginosa (n = 20) as identified by 16S rRNA gene sequencing. Whole genome sequencing identified intrinsic carbapenem resistance genes, including blaOXA-50 and its variants (P. aeruginosa), blaOXA-265 (A. haemolyticus), blaOXA-648 (A. lwoffii), blaOXA-278 (A. junii), and blaL1 and blaL2 (S. maltophilia). The acquired carbapenem resistance gene (blaPST-2) was identified in P. saudiphocaensis and P. stutzeri. In a comparative genomic analysis, clinical P. aeruginosa clustered separately from those recovered from bovine feces. In conclusion, despite the use of selective enrichment methods, finding carbapenem-resistant bacteria within a feedlot environment was a rarity.
The Automated Test of Embodied Cognition: Concept, Development, and Preliminary Findings

(1) Background: The Automated Test of Embodied Cognition (ATEC) uses video administration of cognitively demanding physical tasks and motion capture technology to assess cognition in action. Embodied cognition is a radical departure from conventional approaches to cognitive assessment and is in keeping with contemporary neuroscience. (2) Methods: ATEC was administered to a convenience sample of 20 patients with substance use disorder and 25 age-matched community controls. Patients were administered concurrent cognitive assessments. (3) Results: Psychometric analysis revealed excellent internal consistency, test–retest reliability and small practice effects. Groups were significantly different on ATEC scores and ATEC scores significantly related to concurrent measures of cognition. (4) Conclusions: The preliminary results support the reliability and validity of ATEC for older adults.
The Regulation of the Growth and Pathogenicity of Valsa mali by the Carbon Metabolism Repressor CreA

Carbon catabolite repression (CCR) is a very important mechanism for efficient use of carbon sources in the environment and is necessary for the regulation of fungal growth, development, and pathogenesis. Although there have been extensive studies conducted regarding this mechanism in fungi, little is yet known about the effects of CreA genes on Valsa mali. However, based on the results obtained in this study for the identification of the VmCreA gene in V. mali, it was determined that the gene was expressed at all stages of fungal growth, with self-repression observed at the transcriptional level. Furthermore, the functional analysis results of the gene deletion mutants (ΔVmCreA) and complements (CTΔVmCreA) showed that the VmCreA gene played an important role in the growth, development, pathogenicity, and carbon source utilization of V. mali.
Effect of Processing Parameters on Bonding Performance of a Carbon Fiber/Polyetheretherketone Thermoplastic Composite Prepared by Induction Welding

Among the various welding techniques used to bond thermoplastic composites, induction welding stands out as a fast, clean, and contact-free process that shortens the welding time and prevents the weight increase of mechanical fastening, such as rivets and bolts. In this study, we manufactured polyetheretherketone (PEEK)-resin-based thermoplastic carbon fiber (CF) composite materials at different automated fiber placement laser powers (3569, 4576, and 5034 W) and investigated their bonding and mechanical characteristics after induction welding. The quality of the composite was evaluating using various techniques, including optical microscopy, C-scanning, and mechanical strength measurements, and a thermal imaging camera was used to monitor the surface temperature of the specimen during its processing. The results revealed that the preparation conditions of the polymer/carbon fiber composites, such as the laser power and surface temperature, significantly affect the quality and performance of the induction-welding-bonded composites. A lower laser power during preparation resulted in weaker bonding between components of the composite and yielded samples with a lower shear stress.