Miracle-dz/UniFAR-FTUs huggingface dataset:
Solar Flare Abundances of Potassium, Argon, and Sulphur

The absolute abundance of potassium has been determined for the first time from X-ray solar flare line and continuum spectra. The absolute and relative abundances of Ar and S have also been determined. Assuming that the flare plasma is coronal, and since potassium has the lowest first ionization potential (FIP) of any common element on the Sun, this determination is of importance in the continuing debate concerning the nature of the coronal/photospheric element abundance ratios, which are widely considered to depend on the FIP. The measurements were made with the RESIK crystal spectrometer on the Coronas-F spacecraft. A differential emission measure DEM ∝ exp(-βTe) was found to be the most consistent with the data of three models considered. We find that the K/H abundance ratio is (3.7 ± 1.0) × 10-7, a factor of 3 times photospheric. Our measured values of the Ar/H ratio, (2.8 ± 0.2) × 10-6, and of the S/H ratio, (2.2 ± 0.4) × 10-5, are equal to previous coronal and photospheric determinations to within uncertainties. These measurements therefore fit a pattern in which low-FIP elements are enriched in the corona by a factor 3 and in which high-FIP elements (including S) have equal coronal and photospheric abundances.
Magnetic properties of ultrafine nickel particles

Ultrafine nickel particles have intriguing physical and chemical properties, which are interesting both in fundamental and applied research. The size of the particle was controlled by gas pressure. X‐ray diffraction studies showed that fine Ni particles have fcc crystal structure and are coated with thin Ni oxide on the surface. Electron micrographs showed a spherical particle shape, forming a long chain. Size dependence of magnetic properties were studied. The specific magnetic moment drastically decreases when reducing the diameter d of particles <15 nm. The coercivity Hc also approaches zero when d is about 15 nm. Therefore, we can suppose that the critical size for superparamagnetism at room temperature is about 15 nm. According to the superparamagnetic formula KV=25 kT, the value of the magnetic anisotropy constant can be determined, K = −5.8 × 105 (erg/cc). It is found to be larger than bulk Ni [K=−3.4–5.1 × 104 (erg/cc)], the same as Fe particles. The maximum of coercivity at room temperature is ab.
Bayesian history of science: The case of Watson and Crick and the structure of DNA

Abstract A naïve Bayes approach to theory confirmation is used to compute the posterior probabilities for a series of four models of DNA considered by James Watson and Francis Crick in the early 1950s using multiple forms of evidence considered relevant at the time. Conditional probabilities for the evidence given each model are estimated from historical sources and manually assigned using a scale of five probabilities ranging from strongly consistent to strongly inconsistent. Alternative or competing theories are defined for each model based on preceding models in the series. Prior probabilities are also set based on the posterior probabilities of these earlier models. A dramatic increase in posterior probability is seen for the final double helix model compared to earlier models in the series, which is interpreted as a form of “Bayesian surprise” leading to the sense that a “discovery” was made. Implications for theory choice in the history of science are discussed.
The role of marketing agility and risk propensity in resilience and survival of eastern European immigrant entrepreneurs in Denmark

PurposeWhile extant research has increasingly examined minority entrepreneurs, less attention has been paid to Eastern European immigrant entrepreneurs and the role that marketing agility and risk propensity play in their resilience and survival in Nordic countries. This paper aims to highlight the importance of these factors for Eastern European immigrant entrepreneurs in the developed Nordic economy of Denmark.Design/methodology/approachThis paper adopts the dynamic capabilities view as a theoretical framework and uses a qualitative research approach with interviews as the main data collection method. The empirical sample comprises 12 entrepreneurs originating from Hungary, Slovakia, Latvia, Lithuania and Romania, who operate in Denmark.FindingsThe findings show that contrary to prior studies that have highlighted a reliance among the migrant entrepreneurial community on ethnic networks as their dominant target market, Eastern European immigrant entrepreneurs located in Denmark, in contrast, focused on attracting Danish consumers as their target market audience. Leveraging multiple networks was therefore found to be critical to the survival of these immigrant ventures. Additionally, the entrepreneurs' marketing agility, underpinned by their optimistic approach, growth ambitions and passion for entrepreneurship, was found to play a pivotal role in their survival. Finally, despite the stable institutional environment in Denmark and the ease of doing business (both of which are influential factors in shaping the risk propensity and risk perception of entrepreneurs), the authors found immigrant entrepreneurs' risk propensity to be rather low, which was contrary to the expectations.Originality/valueThe current paper is one of the first studies that explicitly analyzes the roles of marketing agility and risk propensity in the resilience and survival of the ventures of relatively skilled immigrant entrepreneurs from Eastern Europe in a developed Nordic economy (Denmark). The paper's findings also challenge the notion associated with immigrant entrepreneurial ventures being primarily focused on ethnic customers or enclaves. The paper also specifies the peculiarities of marketing agility in immigrant entrepreneurial contexts and solidifies the importance of diverse networks in immigrant business survival and development.
On the optimal portfolio for the exponential utility maximization: remarks to the six‐author paper

This note contains ramifications of results of Delbaen et al. (2002). Assuming that the price process is locally bounded and admits an equivalent local martingale measure with finite entropy, we show, without further assumption, that in the case of exponential utility the optimal portfolio process is a martingale with respect to each local martingale measure with finite entropy. Moreover, the optimal value always can be attained on a sequence of uniformly bounded portfolios.
Secure Decentralized Image Classification With Multiparty Homomorphic Encryption

Decentralized image classification plays a key role in various scenarios due to its attractive properties, including tolerating high network latency and less prone to single-point failures. Unfortunately, training such a decentralized image classification model is more vulnerable to data privacy leaks compared to other distributed training frameworks. Existing efforts exclusively use differential privacy as the cornerstone to alleviate the threat to data privacy. However, differential privacy is implemented at the expense of accuracy, which goes against our motivation for designing an image classification model without loss of accuracy. To address this problem, we propose D<sup>2</sup>-MHE, the <italic>first</italic> secure and efficient decentralized training framework with lossless precision. Inspired by the latest developments in the homomorphic encryption technology, we design a multiparty version of Brakerski-Fan-Vercauteren (BFV), one of the most advanced cryptosystems, and use it to implement private gradient updates of users’ local models. D<sup>2</sup>-MHE can reduce the communication complexity of general Secure Multiparty Computation (MPC) tasks from quadratic to linear in the number of users, making it very suitable and scalable for large-scale decentralized learning systems. Moreover, D<sup>2</sup>-MHE provides strict semantic security protection even if the majority of users are dishonest with collusion. We conduct extensive experiments on MNIST, CIFAR-10, and ImageNet to demonstrate the superiority of D<sup>2</sup>-MHE. Experimental results show that D<sup>2</sup>-MHE achieves up to <inline-formula> <tex-math notation="LaTeX">$5.5\times $ </tex-math></inline-formula> reduction in computation overhead, and at least <inline-formula> <tex-math notation="LaTeX">$12\times $ </tex-math></inline-formula> reduction in communication overhead compared to existing schemes.
Characteristic Patterns of Variability of Sea Level Pressure in the Northern Hemisphere

Abstract Seasonal and annual mean sea level pressures for the Northern Hemisphere have been analyzed to determine the dominant modes of interannual and longer period variability using monthly sea level pressure analyses as revised by Trenberth and Paolino (1980). Empirical orthogonal function (EOF) analysis is used to reveal the modes which explain most of the variance for the period 1925–77. In winter, Kutzbach's (1970) EOF 1 for January remains the dominant mode and a closely related pattern dominates all seasons and the annual means. Although there are differences in detail in each season, the dominant mode is basically a high-latitude zonal-index-type pattern with departures in pressure at high latitudes corresponding to anomalies of opposite sign in low latitudes. EOF 1 is linked to the North Atlantic Oscillation, but the north–south fluctuations in mass also occur in the Pacific and, to a lesser extent, elsewhere. Time series associated with this pattern have highly significant spectral peaks at the.
Squeezed Phonon Wave Packet Generation by Optical Manipulation of a Quantum Dot

In solid-state physics, the quantized lattice vibrations, i.e., the phonons, play a vital role. Phonons, much like photons, satisfy bosonic commutation relations, and therefore, various concepts well-known in quantum optics can be transferred to the emerging field of phononics. Examples are non-classical states and, in particular, squeezed states. We discuss the generation of phonon squeezing by optically exciting a quantum dot and show that by excitation with detuned continuous wave laser fields, sequences of squeezed phonon wave packets are created, which are emitted from the quantum dot region into the surrounding material.
The Effect of Job Crafting on Performance and Satisfaction: Physical Engagement as a Mediator and Cognitive and Emotional Engagement as Moderators

This study explores the relationship between job crafting on task performance and job satisfaction among faculty members in higher educational institutions. A conceptual model was developed wherein the moderating role of cognitive and emotional engagement and the mediating role of physical engagement in influencing the task performance. Data was collected from 592 faculty members from higher educational institutions in southern India. First, the instrument’s psychometric properties were checked by performing structural equation modelling using the LISREL package. The hypothesized relationships were tested using Hayes’ PROCESS macros. The findings indicate that (a) job crafting and physical engagement are positively related to task performance, (b) job crafting is positively related to physical engagement, (c) physical engagement mediates the relationship between job crafting and task performance and (d) task performance mediates between job crafting and job satisfaction. The results also suggest that cognitive engagement moderates between job crafting and physical engagement. Furthermore, emotional engagement (second moderator) moderates the relationship between job crafting and cognitive engagement (first moderator) in influencing task performance mediated through physical engagement. The three-way interaction between task crafting, emotional engagement and cognitive engagement in influencing physical engagement is a novel contribution of this study. The implications for theory and practice in human resource management and personnel psychology are discussed.
Aerosol Measurement Degradation in Low-Cost Particle Sensors Using Laboratory Calibration and Field Validation

Increasing concern over air pollution has led to the development of low-cost sensors suitable for wide-scale deployment and use by citizen scientists. This project investigated the AirU low-cost particle sensor using two methods: (1) a comparison of pre- and post-deployment calibration equations for 24 devices following use in a field study, and (2) an in-home comparison between 3 AirUs and a reference instrument, the GRIMM 1.109. While differences (and therefore some sensor degradation) were found in the pre- and post-calibration equation comparison, absolute value changes were small and unlikely to affect the quality of results. Comparison tests found that while the AirU did tend to underestimate minimum and overestimate maximum concentrations of particulate matter, ~88% of results fell within ±1 μg/m3 of the GRIMM. While these tests confirm that low-cost sensors such as the AirU do experience some sensor degradation over multiple months of use, they remain a valuable tool for exposure assessment studies. Further work is needed to examine AirU performance in different environments for a comprehensive survey of capability, as well as to determine the source of sensor degradation.
Emotional Intelligence as an Important Asset for HR in Organizations: Attitudes and Working Variables

The contribution of emotional intelligence in a working environment has been studied in a good extent in the literature. The findings from empirical studies signify the importance of emotional intelligence in ensuring the good functioning of an organization . This paper aims at investigating the effect of emotional intelligence on workplaces by gathering the findings that show the positive correlations between EI, attitudes and working variables. More specifically, it presents the link between emotional intelligence and six variables, very significant for a better and more effective working environment. Furthermore, it can be a kind of help for managers and researchers to better realize the relationship between EI and the other factors, its effectiveness so to incorporate training programs in courses and in companies based on EI and empathy.
On using self‐organizing maps and discretized Sammon maps to study links between atmospheric circulation and weather extremes

Classifications by self‐organizing maps (SOMs) have been used to study links between extreme weather events and atmospheric circulation. However, SOMs may often provide a too generalized image of circulation, which is too coarse to properly resolve meteorological extremes. Several approaches have been used to circumvent this limitation, including an increase in the number of nodes and/or relaxation of the stress on topological ordering of nodes, through adjusting the neighbourhood radius. Here, we (1) test whether weighting of training fields based on extremity of their circulation could lead to SOMs that would better represent circulation extremes without impairing the topological ordering of nodes, and (2) we investigate whether Sammon maps (SM), which have so far been limited to validation of SOMs in climatology, could provide a viable alternative to SOMs in studying weather extremes. We show that removing a certain percentage of circulation fields closest to the climatological mean has a greater effect on the representation of circulation extremes than more than doubling the SOM array size. Additionally, this step allows for decreasing the neighbourhood radius, the parameter responsible for topological ordering, which would not otherwise be possible without impairing the topology of the map. The SOMs are compared with two newly developed methods that discretize SMs based on arbitrarily chosen and distribution‐based bins. We demonstrate the usefulness of both methods in climate model validation and show that both methods are able to capture circulation variability in its extremes in more detail than the SOMs. The distribution‐based method does not suffer from sample‐size issues and outperforms all other classifications in extracting ERA5 patterns leading to extreme temperature minima over central Europe. Our results suggest that classifications based on SM could be a viable alternative to SOMs when SOMs lack the ability to discriminate circulation outliers leading to temperature extremes.
CACC Simulation Platform Designed for Urban Scenes

As a key technology to alleviate urban congestion, Cooperative Adaptive Cruise Control (CACC) requires testing and evaluation before being commercialized. To evaluate CACC, simulation plays a key role. However, conventional simulation platforms focus more on highway scenes but less on urban scenes. Hence, this paper proposes a CACC simulation platform for urban scenes. The platform bears the following features: i) able to plug in production Connected and Automated Vehicle (CAV) control systems; ii) able to capture the interaction between Human-driven Vehicles (HVs) and CAVs; iii) able to evaluate CACC with regard to various traffic control; iv) capable of quantifying CACC safety in urban scenes; v) capable of assessing the impact of CACC on mobility in urban scenes. The platform is validated by comparing against actual field tests and previously published theoretical studies. Its credibility is confirmed in terms of free flow CACC, interrupted CACC flow and free flow Partially Connected and Automated Traffic (PCAT). Through the proposed platform, evaluations on CACC safety and mobility are conducted. The results reveal that current CACC technology requires significant enhancement, since CACC technology may interrupt the traffic in urban areas due to platoon splitting, interaction with lane-changing vehicles, etc. Rushing the deployment of current CACC technology in urban areas is probably not a good idea.
Application of Box-Behnken Design in the Preparation, Optimization, and In-Vivo Pharmacokinetic Evaluation of Oral Tadalafil-Loaded Niosomal Film

Benign prostatic hyperplasia (BPH) affects about 90% of men whose ages are over 65. Tadalafil, a selective PDE-5 inhibitor, was approved by FDA for BPH, however, its poor aqueous solubility and bioavailability are considered major drawbacks. This work intended to develop and evaluate oral fast dissolving film containing tadalafil-loaded niosomes for those who cannot receive the oral dosage form. Niosomes were statistically optimized by Box-Behnken experimental design and loaded into a polymeric oral film. Niosomes were assessed for their vesicular size, uniformity, and zeta potential. The thickness, content uniformity, folding endurance, tensile strength, disintegration time, and surface morphology were evaluated for the prepared polymeric film. The optimized niosomes revealed high entrapment efficiency (99.78 ± 2.132%) and the film was smooth with good flexibility and convenient thickness (110 ± 10 µm). A fast release of tadalafil was achieved within 5 min significantly faster than the niosomes-free drug film. The in-vivo bioavailability in rats established that the optimized niosomal film enhanced tadalafil systemic absorption, with higher peak concentration (Cmax = 0.63 ± 0.03 µg/mL), shorter Tmax value (0.66-fold), and relative bioavailability of 118.4% compared to the marketed tablet. These results propose that the oral film of tadalafil-loaded niosomes is a suitable therapeutic application that can be passed with ease to geriatric patients who suffer from BPH.
An Asymptotic Theory of Bayesian Inference for Time Series

A limiting representation of the Bayesian data density is obtained and shown to be the same general exponential form for a wide class of likelihoods and prior distributions. An embedding theorem is given which shows how to embed the exponential density in a continuous time process. From the embedding, the authors obtain a large sample approximation to the model of the data that corresponds to the exponential density. This has the form of discrete observations drawn from a nonlinear stochastic differential equation driven by Brownian motion. No assumptions concerning stationarity or rates of convergence are required in the asymptotics. Some implications for statistical testing are explored. Copyright 1996 by The Econometric Society.
Spinal Metastasis in a Patient with Supratentorial Glioblastoma with Primitive Neuronal Component: A Case Report with Clinical and Molecular Evaluation

Glioblastoma (GBM) is regarded as an aggressive brain tumor that rarely develops extracranial metastases. Despite well-investigated molecular alterations in GBM, there is a limited understanding of these associated with the metastatic potential. We herein present a case report of a 43-year-old woman with frontal GBM with primitive neuronal component who underwent gross total resection followed by chemoradiation. Five months after surgery, the patient was diagnosed with an intraspinal GBM metastasis. Next-generation sequencing analysis of both the primary and metastatic GBM tissues was performed using the Illumina TruSight Tumor 170 assay. The number of single nucleotide variants observed in the metastatic sample was more than two times higher. Mutations in TP53, PTEN, and RB1 found in the primary and metastatic tissue samples indicated the mesenchymal molecular GBM subtype. Among others, there were two inactivating mutations (Arg1026Ile, Trp1831Ter) detected in the NF1 gene, two novel NOTCH3 variants of unknown significance predicted to be damaging (Pro1505Thr, Cys1099Tyr), one novel ARID1A variant of unknown significance (Arg1046Ser), and one gene fusion of unknown significance, EIF2B5-KIF5B, in the metastatic sample. Based on the literature evidence, the alterations of NF1, NOTCH3, and ARID1A could explain, at least in part, the acquired invasiveness and metastatic potential in this particular GBM case.
The thermoelectric properties of Ge/SiGe modulation doped superlattices

The thermoelectric and physical properties of superlattices consisting of modulation doped Ge quantum wells inside Si1− y Ge y barriers are presented, which demonstrate enhancements in the thermoelectric figure of merit, ZT, and power factor at room temperature over bulk Ge, Si1− y Ge y , and Si/Ge superlattice materials. Mobility spectrum analysis along with low temperature measurements indicate that the high power factors are dominated by the high electrical conductivity from the modulation doping. Comparison of the results with modelling using the Boltzmann transport equation with scattering parameters obtained from Monte Carlo techniques indicates that a high threading dislocation density is also limiting the performance. The analysis suggests routes to higher thermoelectric performance at room temperature from Si-based materials that can be fabricated using micro- and nano-fabrication techniques.
Consumers’ Responses to Virtual Influencers as Advertising Endorsers: Novel and Effective or Uncanny and Deceiving?

Abstract Virtual influencers, generated on the computer, are changing the advertising industry. More and more brands utilize virtual instead of human influencers as endorsers for their marketing campaigns for a variety of reasons, e.g., better control of the influencer’s behavior, cost savings, or zeitgeist motives (desire to be “up to date”). However, there is currently little research on whether significant advertising goals are achieved using virtual influencers. We analyze, in an initial study, whether consumers find such influencers appealing compared to human influencers and whether they are able to identify that the influencer is not real. Our results show that consumers find it difficult to identify virtual influencers as such and that they still have more positive attitudes toward human endorsers in advertising campaigns. However, virtual endorsers can lead to higher perceived ad novelty. In a second study, we further examine whether the advertised product category functions as a moderator. Results show that perceived congruence between virtual influencers and product is dependent on the product category and leads to higher advertising effectiveness. Our studies lead to the implication that marketers should carefully consider the use of virtual influencers in accordance with the aspired advertising goals and brand values.