Miracle-dz/UniFAR-FTUs huggingface dataset:
Reply to “Comment on ‘Two Foreshock Sequences Post Gulia and Wiemer (2019)’ by Kelian Dascher-Cousineau, Thorne Lay, and Emily E. Brodsky” by Laura Gulia and Stefan Wiemer

Gulia and Wiemer (2019; hereafter, GW2019) proposed a near-real-time monitoring system to discriminate between foreshocks and aftershocks. Our analysis (Dascher-Cousineau et al., 2020; hereinater, DC2020) tested the sensitivity of the proposed Foreshock Traffic-Light System output to parameter choices left to expert judgment for the 2019 Ridgecrest Mw 7.1 and 2020 Puerto Rico Mw 6.4 earthquake sequences. In the accompanying comment, Gulia and Wiemer (2021) suggest that at least six different methodological deviations lead to different pseudoprospective warning levels, particularly for the Ridgecrest aftershock sequence which they had separately evaluated. Here, we show that for four of the six claimed deviations, we conformed to the criteria outlined in GW2019. Two true deviations from the defined procedure are clarified and justified here. We conclude as we did originally, by emphasizing the influence of expert judgment on the outcome in the analysis.
Metal–Ligand Interactions in Molecular Imprinting

Molecular imprinting enables the design of highly crosslinked polymeric materials that are able to mimic natural recognition processes. Molecularly imprinted polymers exhibit binding sites with tailored selectivity toward target structures ranging from inorganic ions to biomacromolecules and even viruses or living cells. The choice of the appropriate functional monomer, crosslinker, and the nature and specificity of template–monomer interactions are critical for a successful imprinting process. The use of a metal ion mediating the interaction between the monomer and template (acting as ligands) has proven to offer a higher fidelity of imprint, which modulates the molecularly imprinted polymers (MIPs) selectivity or to endow additional features to the polymer, such as stimuli-responsiveness, catalytic activity, etc. Furthermore, limitations in using nonpolar and aprotic solvents are overcome, allowing the use of more polar solvents and even aqueous solutions as imprinting media, opening new prospects toward the imprinting of biomacromolecules (proteins, DNA, RNA, antibod-ies, biological receptors, etc.). This chapter aims to outline the beneficial pairing of metal ions as coordination centers and various functional ligands in the molecular imprinting process, as well as to provide an up to date overview of the various applications in chemical sensing, separation processes (stationary phases and selective sorbents),
Impact of MiFID II on the Market Volatility—Analysis on Some Developed and Emerging European Stock Markets

The paper investigates whether the implementation of MiFID II, a packet of financial legislation applying broadly to European Union financial markets, has led to a change in the volatility of some European developed and emerging stock markets. We show that for the developed capital markets considered in the analysis, MiFID II did not lead to a decrease in the volatility of capital markets. On the contrary, for all analysis intervals considered (3 months, 6 months, 12 months, 18 months and 24 months), the impact on volatility is positive, with volatility increasing in the case of the FTSE 100, CAC40 and DAX stock indexes. There is a similar significant relationship for the Czech stock market, but only over the three-month interval. For the Polish and Romanian stock markets, which enforced MiFID II later, a negative impact of MiFID II on volatility could also be observed. In the Romanian market, MiFID II had a negative impact on volatility on the short-term horizon, while for the Polish market, the impact of MiFID II on volatility is noticeable on a longer term of 24 months.
Transiente Änderung der elektronischen Struktur von Bi2Sr2CaCu2O8+x

Die vorliegende Arbeit untersucht die dynamische Antwort des elektronischen Systems des Hochtemperatursupraleiters Bi2Sr2CaCu2O8+x (Bi2212) auf die optische Anregung durch ultrakurze Laserpulse. Mittels der zeit- und winkelaufgelosten Photoemissionsspektroskopie an optimal- und unterdotiertem Bi2212 in der „Pseudogap“-Phase werden anhand von Anderungen in der elektronischen Struktur zwei Effekte diskutiert, welche aufgrund ihres unterschiedlichen Zeitverhaltens als unabhangig betrachtet werden konnen. Zum einen ist dies eine photoinduzierte Anderung der effektiven Masse m* im Bereich der „Kink“-Energie von E - EF = -70 meV, welche innerhalb der Zeitauflosung des Experimentes von ~100 fs auftritt und somit als eine direkt durch den Anregepuls verursachte Storung der zu dem „Kink“ fuhrenden elektronischen Wechselwirkung interpretiert werden kann. Zum anderen wird eine Verschiebung des Fermiflachenvektors kF beobachtet, was als effektive Anderung der Dotierung interpretiert werden kann und somit neue Moglichkeiten in Bezug auf ultraschnelle optoelektronische Bauteile basierend auf photoinduzierten Phasenubergangen eroffnet. Daruber hinaus wird die energie- und fluenzabhangige Dynamik angeregter Elektronen untersucht, welche ein biexponentielles Verhalten aufweisen. Wahrend die langsame Komponente dieses Zerfalls von der Anregefluenz unabhangig ist, zeigt die schnelle Komponente einen deutlichen Sprung in der zugehorigen Zerfallszeit ober- und unterhalb der fur das Material charakteristischen Energie von 70 meV. Dieser Sprung ist fur niedrige Fluenzen am deutlichsten ausgepragt, was anhand einer theoretischen Modellrechnung diskutiert wird. Ein groser Teil der vorliegenden Arbeit bestand zudem in der Konstruktion und dem Aufbau eines von Grund auf neuen Experimentes zur Photoemissionsspektroskopie, dessen Hauptbestandteil in dem Design eines 6-Achsen Manipulators lag, mit dessen Hilfe eine Probe bei tiefen Temperaturen unter Vakuumbedingungen unabhangig in jeweils alle 3 Rotations- und Translationsrichtungen bewegt werden kann. Im Zuge dieser Arbeiten wurden mit dem Aufbau zudem erste Test- und Charakterisierungsmessungen durchgefuhrt.
Detailed Analysis of the Velocity Fields from 60 kW Swirl-Stabilized Coal Flames in CO2/O2- and N2/O2-Atmospheres by Means of Laser Doppler Velocimetry and Particle Image Velocimetry

ABSTRACT This work presents experimental results from flow field measurements of swirl stabilized pulverized-coal flames in oxy-fuel conditions and in conventional atmospheres to characterize the influence of the mixture upon flame aerodynamics. Experiments were carried out on flames inside a cylindrical combustion chamber equipped with a pulverized-coal swirl burner. Flow fields for different flame configurations were measured by means of laser Doppler velocimetry (LDV) and are complemented by particle image velocimetry (PIV). The experimental setups and results are presented, compared, and discussed. LDV measurements provide radial profiles for mean and RMS axial and tangential velocity components at different cross sections inside the combustion chamber. PIV measurements provide planar two-dimensional flow field information about mean values for the axial and the radial velocity components of the flow, as well as qualitative information about solid particle distribution inside the combustion chamber. The performance of LDV and PIV as optical measurement techniques is evaluated for the present case. Coal particles with a wide size distribution are used as flow tracers in the experiments. The influences of particle size upon obtained results, the measured flow fields, and qualitative particle distributions are discussed in detail.
Insurance fraud detection with unsupervised deep learning

The objective of this paper is to propose a novel deep learning methodology to gain pragmatic insights into the behavior of an insured person using unsupervised variable importance. It lays the groundwork for understanding how insights can be gained into the fraudulent behavior of an insured person with minimum effort. Starting with a preliminary investigation of the limitations of the existing fraud detection models, we propose a new variable importance methodology incorporated with two prominent unsupervised deep learning models, namely, the autoencoder and the variational autoencoder. Each model's dynamics is discussed to inform the reader on how models can be adapted for fraud detection and how results can be perceived appropriately. Both qualitative and quantitative performance evaluations are conducted, although a greater emphasis is placed on qualitative evaluation. To broaden the scope of reference of fraud detection setting, various metrics are used in the qualitative evaluation.
A Network Architecture and Routing Protocol for the MEDIcal WARNing System

The MEDIcal WARNing (MEDIWARN) system continuously and automatically monitors the vital parameters of pre-intensive care hospitalized patients and, thanks to an intelligent processing system, provides the medical teams with a better understanding of their patients’ clinical condition, thus enabling a prompt reaction to any change. Since the hospital units generally lack a wired infrastructure, a wireless network is required to collect sensor data in a server for processing purposes. This work presents the MEDIWARN communication system, addressing both the network architecture and a simple, lightweight and configurable routing protocol that fits the system requirements, such as the ability to offer path redundancy and mobility support without significantly increasing the network workload and latency. The novel protocol, called the MultiPath Routing Protocol for MEDIWARN (MP-RPM), was therefore designed as a solution to support low-latency reliable transmissions on a dynamic network while limiting the network overhead due to the control messages. The paper describes the MEDIWARN communication system and addresses the experimental performance evaluation of an implementation in a real use-case scenario. Moreover, the work discusses a simulative assessment of the MEDIWARN communication system performance obtained using different routing protocols. In particular, the timeliness and reliability results obtained by the MP-RPM routing protocol are compared with those obtained by two widely adopted routing protocols, i.e., the Ad-hoc On-demand Distance Vector (AODV) and the Destination-Sequenced Distance-Vector Routing (DSDV).
A Survey of Semantic Construction and Application of Satellite Remote Sensing Images and Data

With the rapid development of satellite technology, remote sensing data has entered the era of big data, and the intelligent processing of remote sensing images has been paid more attention. Through the semantic research of remote sensing data, the processing ability of remote sensing data is greatly improved. This paper aims to introduce and analyze the research and application progress of remote sensing image satellite data processing from the perspective of semantics. Firstly, it introduces the characteristics and semantic knowledge of remote sensing big data. Secondly, the semantic concept, semantic construction, and application fields are introduced in detail. Then, for remote sensing big data, the technical progress in the study field of semantic construction is analyzed from four aspects—semantic description and understanding, semantic segmentation, semantic classification, and semantic search—focusing on deep learning technology. Finally, the problems and challenges in the four aspects are discussed in detail in order to find more directions to explore.
Coating strategies for atomic layer deposition

Abstract Atomic layer deposition (ALD) is a vapor phase technique capable of producing a variety of materials. It consists of the alternation of separate self-limiting surface reactions, which enables accurate control of film thickness at the Angstrom level. ALD becomes a powerful tool for a lot of industrial and research applications. Coating strategies are the key for ALD; however, there are few systematic reviews concerning coating strategies for ALD. This review provides a detailed summary of state-of-the-art coating strategies in ALD, emphasizing the recent progress in the fabrication of novel nanostructures. The progress in coating strategies is reviewed in three parts: template-assisted preparation of low-dimensional nanomaterials and complex nanostructures; surface treatments, including the surface activation and the surface blocking ways; enhanced reactor, such as plasma and fluid bed reactor, and improved growth method such as the ABC-type model. In addition, we also discussed the challenges facing the coating method for ALD.
Cinnamon and its derivatives as potential ingredient in functional food—A review

ABSTRACT Cinnamon has been reported to have significant benefits for human health, particularly as an anti-inflammatory, antitumor, anticancer, antidiabetic, and anti-hypertriglyceridemia agent, mainly due to its phytochemical constituents such as phenolic and volatile compounds. The phytochemicals in cinnamon can be extracted from different parts of plant by distillation and by solvent extraction. The use of cinnamon in food and its ability to prevent oxidation and inhibit microbial growth are covered in this review. Its bioaccessibility, safety, and consumer acceptance are comprehensively discussed. This review also clearly shows a route to the use of cinnamon as an ingredient in functional foods.
Vaccination programs, parity, and calving season as factors affecting the risk of fetal losses and mummified fetuses in Holstein cows

Aim of study: To investigate vaccination programs, parity, and calving season as factors affecting the risk of abortion and mummified fetuses in Holstein cows. Area of study: Hot zone of Northeast Mexico. Material and methods: Multiple logistic regression models were used to examine the relationship between peripartum disorders, parity, previous occurrence of abortion, season of calving, vaccination program, incidence of abortion, and mummified fetuses in Holstein cows. Main results: For 7014 pregnancies (2886 cows), the percentage of cows aborting and having mummified fetuses was 17.7% and 1.1%, respectively. As the number of brucellosis vaccinations increased, the incidence of abortion increased (10.4% for a single vac cination and 38.0% for 6 accumulated vaccinations). Abortion for cows having 1-2 previous abortions (56%) and >2 abortions (77%) was fivefold and sevenfold greater ( p <0.01), respectively, than that for cows without previous abortion. Other important risk factors for abortion were number of calvings (19.8% for nulliparous and primiparous vs . 13.8% for >3 parturitions; OR=1.7, p <0.01), leptospirosis vaccine application <55 days postpartum (dpp; OR=1.3, p< 0.05), viral vaccine application >37 dpp (OR=1.3, p <0.01), brucellosis vacci ne application >20 dpp (OR=1.6, p <0.01), and no application of clostridial vaccine (OR=3.7, p <0.01). Significant risk factors for mum mified fetuses were application of ≥3 brucellosis vaccinations (OR=3.3, p <0.01), no application of 10-way clostridial vaccine (OR=2.3, p <0.01), >2 previous abortions (OR=18.4, p <0.01), and calving in autumn (OR=0.4, compared to winter, p <0.05). Research highlights: Risk of abortion and mummified fetuses in Holstein cows has been found to be related to vaccination programs. Vaccination programs, parity, and calving season as factors affecting the risk of fetal losses and mummified fetuses in Holstein cows. All declare no actual or potential conflicts between the authors and other people or organizations that could inappropriately bias their
Comparison of PV panels MPPT techniques applied to solar water pumping system

This paper deals with an advanced design for a pump powered by solar energyto supply agricultural lands with water and also the maximum power point is used to extract the maximum value of the energy available inside the solar panels and comparing between techniques MPPT such as Incremental conductance, perturb & observe, fractional short current circuit, and fractional open voltage circuit to find the best technique among these. The solar system is designed with main parts: photovoltaic (PV) panel, direct current/direct current (DC/DC) converter, inverter, filter, and in addition, the battery is used to save energy in the event that there is an increased demand for energy and not to provide solar radiation, as well as saving energy in the case of generation more than demand. This work was done using the matrix laboratory (MATLAB) simulink program.
The Case of Organizational Innovation Capability and Health Information Technology Implementation Success: As You Sow, So You Reap?

Organizational innovation capability is defined as the ability to continuously transform knowledge and ideas into new products, processes and systems for the benefit of an organization and its stakeholders. This study examines the relationship between the innovation capability of healthcare organizations and their ability to successfully implement electronic medical records (EMR), a health information technology (HIT) innovation. Data was collected using a cross-sectional survey and structural equation modeling (SEM) method was used to analyze the data. Results demonstrate that organizational product innovation capability positively affects EMR implementation success. A positive relationship also exists between organizational process innovation capability and EMR implementation success. This study is one of the first to empirically validate the relationship between healthcare organization’s innovation capability and HIT innovation implementation success, in the context of EMRs. Implications of the study for the academic and industry practitioner are discussed.
A Laboratory Perspective on the Gutenberg‐Richter and Characteristic Earthquake Models

Probabilistic seismic hazard analysis (PSHA) is the standard method used for designing earthquake‐resistant infrastructure. In recent years, several unexpected and destructive earthquakes have sparked criticism of the PSHA methodology. The seismological part of the problem is the true frequency‐magnitude distribution of regional seismicity. Two major models exist, the Gutenberg‐Richter (G‐R) and the Characteristic Earthquake (CE) model, but it is difficult to choose between them. That is because the instrumental, historical, and paleoseimological data available are limited in many regions of interest. Here, we demonstrate how a friction experiment on aggregates of glass beads can produce both regular (CE equivalent) and irregular (G‐R equivalent) stick‐slip. Using a new rotary shear apparatus we produced and analyzed large catalogs of acoustic emission (AE) events related to stick‐slip. The distributions of AE sizes, interevent times, and interevent distances were found to be sensitive to particle size and the applied normal stress, and, to a lesser degree, the stiffness of the loading apparatus. More importantly, the system spontaneously switched behavior for short periods of time. In the context of PSHA, if faults are able to switch behavior as our experimental system does, then justifying the choice of either the CE or the G‐R model is impossible based on existing observations.
Study on the effect of organic fertilizers on soil organic matter and enzyme activities of soil in forest nursery

Abstract The aim of the study was to assess the effects of organic fertilization on selected chemical properties of the soil and the activity of dehydrogenase and β-glucosidase in the soil of forest nursery. The main goal was to evaluate the role of organic fertilizers in carbon storage in the forest nursery soil. Sample plots were located in northern Poland in the Polanów Forest District on a forest nursery. Soil samples were collected from horizon 0–20 cm for laboratory analyzes. In soil samples pH, soil texture, and organic carbon, nitrogen, base cation contents, dehydrogenase activity and β-glucosidase activity were determined. The obtained results were used to evaluate the carbon storage. The results confirm the beneficial effect of the applied organic fertilizer on chemical properties of the soils under study and their biological activity. The applied organic fertilizers had an impact on increased accumulation of soil organic matter. In the soils investigated, there was an increase in the activity of such enzymes as dehydrogenases and β-glucosidase.
Dynamics in poly(propylene glycol) and silica oxide nanoparticles composite glassforming system

Results of broadband dielectric spectroscopy and rheological studies of poly(propylene glycol) + SiO 2 nanocomposites are presented. They show that the dynamics in high-concentrated composite is determined by confinement and adsorption effects, resulting from interactions of confined polymers correspond with the host system at the interface between PPG and solid nanoparticles. The evolution of relaxation times follows the clear Vogel-Fulcher-Tammann pattern, what is proved by the supplementary activation energy temperature index analysis. The strong influence of nanoparticles on the transitional dynamics and the fragility in the ultraviscous domain was noted.
Analysis of on-off current ratio in asymmetrical junctionless double gate MOSFET using high-k dielectric materials

The variation of the on-off current ratio is investigated when the asymmetrical junctionless double gate MOSFET is fabricated as a SiO 2 /high-k dielectric stacked gate oxide. The high dielectric materials have the advantage of reducing the short channel effect, but the rise of gate parasitic current due to the reduction of the band offset and the poor interface property with silicon has become a problem. To overcome this disadvantage, a stacked oxide film is used. The potential distributions are obtained from the Poission equation, and the threshold voltage is calculated from the second derivative method to obtain the on-current. As a result, this model agrees with the results from other papers. The on-off current ratio is in proportion to the arithmetic average of the upper and lower high dielectric material thicknesses. The on-off current ratio of 10 4 or less is shown for SiO 2 , but the on-off current ratio for TiO 2 ( k =80) increases to 10 7 or more.
Managing floodplains using nature‐based solutions to support multiple ecosystem functions and services

Floodplains include unique environments shaped over a long time horizon along rivers and smaller streams and formed by alluvial sediments. As floodplains are flat, often with highly fertile and well‐accessible land, they have become the intrinsic focus of human society—while providing a variety of goods and ecosystem services. Intensive land use of floodplains is degrading their natural values and significantly reducing their ecosystem functions and services. A significant part of these key services is related with the ability of floodplains to retain water and nutrients, which can be understood as a flood control and a water‐retention function. Although these ecosystems serve a number of other basic functions, the importance of floodplains as a place for water retention during extreme discharges caused by intense rainfall or snowmelt and the supply of water in times of drought are essential under conditions of global change. In order to increase the ability of floodplains to perform these functions, it is increasingly required to preserve the connectivity of rivers with surrounding floodplains and adapt human activities to maintain and restore river ecosystems. This article reviews the recent understanding of floodplain delineation, the most common causes of disturbance, the ecosystem functions being performed, discussing in turn the measures being considered to mitigate the frequency and magnitude of hydrologic extremes resulting from ongoing environmental changes.