Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-rank one-step wave extrapolation for reverse time migration

ABSTRACTReverse time migration (RTM) relies on accurate wave extrapolation engines to image complex subsurface structures. To construct such operators with high efficiency and numerical stability, we have developed a one-step wave extrapolation approach using complex-valued low-rank decomposition to approximate the mixed-domain space-wavenumber wave extrapolation symbol. The low-rank one-step method involves a complex-valued phase function, which is more flexible than a real-valued phase function of two-step schemes, and thus it is capable of modeling a wider variety of dispersion relations. Two novel designs of the phase function leads to the desired properties in wave extrapolation. First, for wave propagation in inhomogeneous media, including a velocity gradient term assures a more accurate phase behavior, particularly when the velocity variations are large. Second, an absorbing boundary condition, which is propagation-direction-dependent, can be incorporated into the phase function as an anisotropic a.
On the Suitability of Post-Quantum Signature Schemes for Internet of Things

Public-key cryptography (PKC) provides confidentiality, data integrity, and user authentication. Particularly, nonrepudiation, authentication and integrity of transmitted messages are assured by public-key (PK) signature schemes. Since the presence of a large scale quantum computer would be a real threat to break currently used PK cryptographic algorithms, all security protocols based on the PK cryptographic algorithms are vulnerable to quantum-computer attacks. It needs to investigate possible alternatives, post-quantum cryptography (PQC), believed to be resistant to attacks from both classical and quantum computers. All the traditional PKC should be replaced with PQC for secure communications in post-quantum era. In this work, we evaluate the post-quantum signature schemes in terms of various metrics, performance, signature/key sizes, energy consumption, resistance to implementation attacks and adaptability to Internet protocols. We then investigate their suitability for Internet of Things based on these metrics.
Detecting open vegetation in a forested landscape: pollen and remote sensing data from New England, USA

The proportional cover of forest and grassland vegetation, known as landscape openness, has been particularly difficult to reconstruct because of differences in pollen productivity and transport between the two vegetation types. To begin to calibrate landscape openness in eastern North America, we collected 21 samples of surface sediments from small ponds (less than 60 ha) in the Upper Connecticut River Valley of New England, USA. Pollen assemblages from these surface samples were compared with vegetation composition around each pond assessed with three different remote sensing methods: land cover digitized from aerial photographs, the National Land Cover Database and a spectral mixture analysis of vegetation structure using LANDSAT data. A principal component analysis indicates that most of the variation in land cover among sites is captured by pollen data and each of the three vegetation methods. Because spectral mixture analysis contains at least as much vegetation information as the other two techniques, while avoiding the problem of classifying vegetation into categories, it is better for comparison with pollen data and detection of landscape openness. Even though there is a relationship between non-arboreal pollen percentages and a metric of landscape openness, it is inadvisable to use pollen percentages alone to infer landscape openness across regions either in modern or ancient times. Quantitative assessments and reconstructions of plant abundance at a higher taxonomic resolution will require detailed vegetation surveys to correlate with pollen data from surface samples and possibly simulations of modern and ancient landscapes. Open areas in a landscape that is over 75% forested can be detected, allowing for future quantitative reconstructions of landscape openness.
Distributional biases in language families

This paper introduces a method (the Family Bias Method) that estimates statistical biases in diachronic developments on the basis of synchronic samples. Estimates of developments are sought from their expected synchronic results: if a structure S outnumbers non-S significantly in a family, a change toward S in this family was more likely than a change away from it – either because S was there in the protolanguage and then hardly ever got lost, or because S was not there and then it was was innovated early or often in the family. If structures are balanced in a family, no signal can be inferred: unless we know the protolanguage, diversification could have proceeded in any direction. Using extrapolation methods, signals for diachronic biases can also be estimated for isolates and small families, which represent over half of the known families. If most families show a bias, but there are as many biases toward S as against S worldwide, this suggests genealogical stability. If most biases are in the same direction, this suggests a diachronic universal or, if they are limited to certain geo-historical regions, areal trends or hotbed effects. Evidence for the theoretical assumptions of the Family Bias Method comes mainly from demonstrating that synchronic distributions in families cannot be successfully explained by alternative approaches, such as those assuming general stability indices.
The Effects of a Simulation-Based Patient Safety Education Program on Compliance with Patient Safety, Perception of Patient Safety Culture, and Educational Satisfaction of Operating Room Nurses

Background: Operating rooms (ORs) are healthcare areas that are high-risk regarding patient safety (PS). The prevention of PS errors such as wrong-site surgery, medication errors, and patient falls is important in the OR. Causes such as having insufficient information, not taking enough care and precautions, and inattention may lead to errors. Ensuring PS in an organization depends on the composition of a PS culture. Method: This study, as equivalent-control-group pretest–posttest research, aimed to develop and apply a simulation-based patient safety education program for operating room nurses and then to examine the influence of the program on patient safety management and compliance. Participants included a total of 45 operating room nurses: 22 in the experimental group and 23 in the control group. In the program, each member of the experimental and control groups underwent two 60 min sessions for a total of 120 min. Person-to-person individual lectures and simulation-based practice were provided to the experimental group, whereas booklets and person-to-person individual lectures were provided to the control group. Compliance with patient safety, the perception of patient safety culture, and satisfaction were measured using a structured Likert questionnaire. Intervention effects were analyzed using a t-test and ANCOVA. Results: As a result of the analysis, we found that the experimental group was significantly higher in terms of compliance with patient safety (p = 0.021), the perception of patient safety culture (p = 0.039), and education satisfaction (p < 0.001) than the control group. Conclusions: The results indicate that implementing a simulation-based patient safety education program can improve the patient safety competency of operating room nurses and, ultimately, prevent patient safety accidents in the operating room.
Toward the Validation of a Novel Measure of Individuals’ Influence During Team Collaborations

Collaborative problem solving (CPS) is an important skill in the modern workforce, and due to its interactive nature, is challenging to assess. The present study builds on work in team sciences to provide initial validation for a metric that quantifies CPS influence—the extent to which each individual contributes toward the team’s CPS processes—using average mutual information (AMI). The measure is investigated in teams collaborating in a computer programming task, where one teammate was assigned to a controller role (i.e., the only person who engaged with the task interface directly). Results suggest the controller had more influence over the team’s CPS processes than the other participants in the triad, providing initial validation for the influence metric. Future work will investigate the measure in classrooms and multiple modalities, and extend the metric in real-time to understand how influence fluctuates over the course of collaboration.
Exploring the Functional Properties of Propolis, Geopropolis, and Cerumen, with a Special Emphasis on Their Antimicrobial Effects

Bee propolis has been touted as a natural antimicrobial agent with the potential to replace antibiotics. Numerous reports and reviews have highlighted the functionalities and applications of the natural compound. Despite much clamor for the downstream application of propolis, there remain many grounds to cover, especially in the upstream production, and factors affecting the quality of the propolis. Moreover, geopropolis and cerumen, akin to propolis, hold promise for diverse human applications, yet their benefits and intricate manufacturing processes remain subjects of intensive research. Specialized cement bees are pivotal in gathering and transporting plant resins from suitable sources to their nests. Contrary to common belief, these resins are directly applied within the hive, smoothed out by cement bees, and blended with beeswax and trace components to create raw propolis. Beekeepers subsequently harvest and perform the extraction of the raw propolis to form the final propolis extract that is sold on the market. As a result of the production process, intrinsic and extrinsic factors, such as botanical origins, bee species, and the extraction process, have a direct impact on the quality of the final propolis extract. Towards the end of this paper, a section is dedicated to highlighting the antimicrobial potency of propolis extract.
BDP/FF NEXThaler to Improve Asthma Control Status in the Real World: The NEWTON Study

Abstract In this article, we discuss the importance of real-world data in the treatment of patients with asthma and specifically the role of maintenance and reliever therapy (MART) with beclometasone dipropionate (BDP)/formoterol fumarate dihydrate (FF) delivered through a dry-powder inhaler (DPI) that contains an extrafine formulation. We also present the design of the NEWTON study. This multinational, multicenter, prospective, observational study will evaluate the real-world use of extrafine BDP/FF via a DPI as maintenance therapy and MART in patients with moderate to severe asthma. The study’s primary outcome will be the proportion of patients improving their asthma control. Digitally collected patient-reported outcomes, such as the 5-item Asthma Control Questionnaire, the EuroQol 5-dimension 5-level, and the Test of the Adherence to Inhalers, will be used to assess the patient’s asthma control, quality of life, and treatment adherence. Moreover, a new patient-reported outcome, the “Speed of change in health feeling” questionnaire, will be validated in a subgroup of patients. Overall, the results of this study will provide a real-life assessment of patients who perceived clinical benefits in a large cohort of asthmatics in Europe treated as per current clinical practice.
Research on analysis and application of quantitative investment strategies based on deep learning

: Due to the dynamics and complexity of the stock market, stock prediction models may encounter some challenges in predicting future stock movements, resulting in their poor generalisation ability. This paper discusses the application and effectiveness of deep learning technology in the financial field by studying the quantitative investment strategy based on deep learning. First, theoretical foundations of deep learning are introduced. Then, the methods for constructing quantitative investment strategies based on Long Short-Term Memory Network (LSTM) are elaborated, including data preprocessing, model selection and training, and strategy execution. Next, the performance and stability of the strategy are evaluated through backtesting and empirical analysis of historical data. Finally, the research results are summarized, and the direction of further research and application is prospected.
Integrated biostratigraphy of the lower Silurian of the Kolka-54 core, Latvia

Abstract Integrated graptolite, conodont and chitinozoan biostratigraphical data are presented from the Llandovery and Wenlock of the Kolka-54 core, Latvia. Correlations between graptolite and chitinozoan biozones are consistent with those published from other East Baltic sections and the Welsh Basin. While most correlations between graptolite and conodont biozones agree with those presented in previous studies, there are important exceptions. Significantly, we report here the discovery of Distomodus staurognathoides Biozone conodonts in the lowest Aeronian Demirastrites triangulatus graptolite Biozone. The base of the D. staurognathoides Biozone was previously considered to lie much higher in the Aeronian. Also it is shown that Walliserodus survived the late Wenlock Mulde Event, during which it was considered previously to have become extinct.
Date Palm Extract (Phoenix dactylifera) Encapsulated into Palm Oil Nanolipid Carrier for Prospective Antibacterial Influence

It is worthwhile to note that using natural products today has shown to be an effective strategy for attaining the therapeutic goal with the highest impact and the fewest drawbacks. In Saudi Arabia, date palm (Phoenix dactylifera) is considered the principal fruit owing to its abundance and incredible nutritional benefits in fighting various diseases. The main objective of the study is to exploit the natural products as well as the nanotechnology approach to obtain great benefits in managing disorders. The present investigation focused on using the powder form of date palm extract (DPE) of Khalas cultivar and incorporates it into a nanolipid formulation such as a nanostructured lipid carrier (NLC) prepared with palm oil. Using the quality by design (QbD) methodology, the most optimized formula was chosen based on the number of assigned parameters. For more appropriate topical application, the optimized DP-NLC was combined with a pre-formulated hydrogel base forming the DP-NLC-hydrogel. The developed DP-NLC-hydrogel was evaluated for various physical properties including pH, viscosity, spreadability, and extrudability. Additionally, the in vitro release of the formulation as well as its stability upon storage under two different conditions of room temperature and refrigerator were investigated. Eventually, different bacterial strains were utilized to test the antibacterial efficacy of the developed formulation. The optimized DP-NLC showed proper particle size (266.9 nm) and in vitro release 77.9%. The prepared DP-NLC-hydrogel showed acceptable physical properties for topical formulation, mainly, pH 6.05, viscosity 9410 cP, spreadability 57.6 mm, extrudability 84.5 (g/cm2), and in vitro release 42.4%. Following three months storage under two distinct conditions, the formula exhibited good stability. Finally, the antibacterial activity of the developed DP-NLC-hydrogel was evaluated and proved to be efficient against various bacterial strains.
Morphology, structure and kinematics of a rainfall controlled slow‐moving Andean landslide, Peru

The large slow‐moving landslide of Maca is located in the upper Colca valley (southern Peru), a region characterized by a well pronounced rainy period, and intense and recurrent sustained seismicity. The landslide, developed in deep lacustrine deposits, has recently accelerated, threatening the Maca village. This work aims at understanding the rupture mechanism and the causes of the recent landslide reactivation/acceleration. We present a multidisciplinary characterization of the Maca landslide that includes: (i) geological and morphological mapping in the field; (ii) remote sensing analysis using an historical aerial photograph of 1955 and the Pléiades satellite images (2013); (iii) global positioning system (GPS) including time‐series of surveys over 13 years, and continuous measurements over 14 months; (iv) a geophysical campaign with deep electrical resistivity tomography profiles acquired across the landslide mass. Our study shows that this 60 Mm3 landslide, which can be classified as a clay/silt compound landslide, moved by 15 m between 2001 and 2014 with a large inter‐annual velocity variation (up to a factor of 500) depending on the rainfall intensity. We suggest that these dramatic changes in velocity are the result of the combination of a threshold mechanism and the short intense rainy season in Peru. This study reveals three main driving factors acting at different timescales: (i) over several decades, the river course has significantly changed, causing the Maca landslide reactivation in the 1980s due to the erosion of its toe; (ii) at the year scale, a minimum amount of rainfall is required to trigger the motion and this amount controls the landslide velocity; (iii) transient changes in slide velocity may occur anytime due to earthquakes. This study particularly highlights the non‐linear behaviour of the motion with rainfall. Copyright © 2016 John Wiley & Sons, Ltd.
PHOSPHORUS CRITERIA AND OZARK STREAMS: A OKLAHOMA CASE STUDY

Nutrient and chlorophyll a concentrations are generally the basis for trophic state classification because of the strong relation between the two, particularly in lakes. However, this relation is often much weaker in streams because the effect of physical factors on the production and composition of algae. The occurrence of eutrophic conditions in stream is most often related to nuisance algal biomass and excessive nutrient concentrations; the impairment of the beneficial uses of streams from these factors is protected by narrative or numeric criteria. Recently, a guidance document has been released on the development of numeric nutrient criteria in streams, and this approach considers the statistical distribution of nutrient concentrations in streams. We use recently published investigations on stream nutrient concentration and limitation in Oklahoma streams to present potential scenarios in the development of total phosphorus (TP) criteria and compare these investigations with recently promulgated TP criterion in Oklahoma’s Scenic Rivers. The percentile distribution of median TP concentrations in Oklahoma streams varied across the state, particularly between the Ozark Highlands and Ouachita Mountains. The 25th percentile of median TP concentrations in Ozarks streams was generally greater than Oklahoma’s Scenic River TP criterion, except in smaller headwater streams. It may be possible to relate soluble P concentrations in Ozark streams to a simple measure of trophic state and determine soluble P concentrations which may limit the potential for algal growth in Ozark streams.
Oceanic gas hydrate instability and dissociation under climate change scenarios

Global oceanic deposits of methane gas hydrate (clathrate) have been implicated as the main culprit for a repeated, remarkably rapid sequence of global warming effects that occurred during the late Quaternary period. However, the behavior of contemporary oceanic methane hydrate deposits subjected to rapid temperature changes, like those predicted under future climate change scenarios, is poorly understood, and existing studies focus on deep hydrate deposits under equilibrium conditions. In this study, we simulate the dynamic response of several types of oceanic gas hydrate accumulations to temperature changes at the seafloor and assess the potential for methane release into the ecosystem. The results suggest that while many deep hydrate deposits are indeed stable under the influence of rapid seafloor temperature variations, shallow deposits, such as those found in arctic regions or in the Gulf of Mexico, can undergo rapid dissociation and produce significant carbon fluxes over a period of decades.
Wake-Up Free Ultrathin Ferroelectric Hf0.5Zr0.5O2 Films

The development of the new generation of non-volatile high-density ferroelectric memory requires the utilization of ultrathin ferroelectric films. The most promising candidates are polycrystalline-doped HfO2 films because of their perfect compatibility with silicon technology and excellent ferroelectric properties. However, the remanent polarization of HfO2 films is known to degrade when their thickness is reduced to a few nanometers. One of the reasons for this phenomenon is the wake-up effect, which is more pronounced in the thinner the film. For the ultrathin HfO2 films, it can be so long-lasting that degradation occurs even before the wake-up procedure is completed. In this work, an approach to suppress the wake-up in ultrathin Hf0.5Zr0. 5O2 films is elucidated. By engineering internal built-in fields in an as-prepared structure, a stable ferroelectricity without a wake-up effect is induced in 4.5 nm thick Hf0.5Zr0. 5O2 film. By analysis of the functional characteristics of ferroelectric structures with a different pattern of internal built-in fields and their comparison with the results of in situ piezoresponse force microscopy and synchrotron X-ray micro-diffraction, the important role of built-in fields in ferroelectricity of ultrathin Hf0.5Zr0. 5O2 films as well as the origin of stable ferroelectric properties is revealed.
Assessment of pluri-annual and decadal changes in terrestrial water storage predicted by global hydrological models in comparison with the GRACE satellite gravity mission

Abstract. The GRACE (Gravity Recovery And Climate Experiment) satellite gravity mission enables global monitoring of the mass transport within the Earth's system, leading to unprecedented advances in our understanding of the global water cycle in a changing climate. This study focuses on the quantification of changes in terrestrial water storage with respect to the temporal average based on an ensemble of GRACE solutions and two global hydrological models. Significant changes in terrestrial water storage are detected at pluri-annual and decadal timescales in GRACE satellite gravity data that are generally underestimated by global hydrological models though consistent with precipitation. The largest differences (more than 20 cm in equivalent water height) are observed in South America (Amazon, São Francisco and Paraná River basins) and tropical Africa (Congo, Zambezi and Okavango River basins). Smaller but significant (a few centimetres) differences are observed worldwide. While the origin of such differences is unknown, part of it is likely to be climate-related and at least partially due to inaccurate predictions of hydrological models. Pluri-annual to decadal changes in the terrestrial water cycle may indeed be overlooked in global hydrological models due to inaccurate meteorological forcing (e.g. precipitation), unresolved groundwater processes, anthropogenic influences, changing vegetation cover and limited calibration/validation datasets. Significant differences between GRACE satellite measurements and hydrological model predictions have been identified, quantified and characterised in the present study. Efforts must be made to better understand the gap between methods at both pluri-annual and decadal timescales, which challenges the use of global hydrological models for the prediction of the evolution of water resources in changing climate conditions.