Miracle-dz/UniFAR-FTUs huggingface dataset:
Earth and Planetary Science Letters

Stylasterids are a ubiquitous deep-sea coral taxon that build their skeletons from either calcite, aragonite, or both. Yet, robust geochemical proxy data from these corals are limited. In this study, 95 modern stylasterids, spanning a wide range of depths (63 to 2894 m) and ambient seawater temperatures (0 to 17 ◦ C), were tested for their potential use as paleoceanographic archives. Stable oxygen and carbon isotopic composition ( δ 18 O and δ 13 C) were measured from the main trunk of all specimens and ﬁve specimens were further sub-sampled to assess internal chemical variability. The isotope data show non-equilibrium precipitation from seawater for both δ 18 O and δ 13 C, with the growing tips of colonies yielding the isotopically lowest values. Overall, the calcitic corals showed lower isotope values for δ 18 O and δ 13 C than aragonitic specimens. Within the aragonite corals, we present a δ 18 O:temperature calibration that exhibits a signiﬁcant linear relationship with the equation δ 18 O coral-seawater = − 0.22 ( ± 0 . 01 ) × T ( ◦ C) + 3.33( ± 0.06) across a temperature range of 0 to 30 ◦ C, using samples from this study and published data. This work highlights the potential application of stylasterid coral δ 18 O data to reconstruct paleo seawater temperature.  2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Low molecular weight heparin decreases mortality and major complication rates in moderately severe and severe acute pancreatitis–a systematic review and meta-analysis

Background Routine anticoagulation therapy in acute pancreatitis (AP) is not recommended by the guidelines in the field, although it is frequently used in clinical practice. Objectives We aimed to analyze the efficacy and safety of adding anticoagulants therapy to AP management. Methods The systematic search was performed in three databases on the 14th of October 2022 without restrictions. Randomized controlled trials (RCTs) and observational studies that reported the differences in the outcomes of AP for patients receiving anticoagulants (intervention group) in addition to the standard of care (SOC), compared to patients managed by SOC alone (control group), were eligible. A random-effects model was used to calculate the pooled odds ratios (OR) and mean differences (MD) with the corresponding 95%-confidence intervals (CI). We performed subgroup analysis for study design and disease severity, among other criteria. Results Of the 8,223 screened records, we included eight in the meta-analysis. Except one, all studies reported on low-molecular-weight heparin (LMWH). Both RCTs and observational studies reported results in favor of the LMWH group. Subgroup RCTs’ analysis revealed significantly decreased odds of mortality [OR 0.24; 95%CI 0.17–0.34] and multiple organ failure [OR 0.32; 95%CI 0.17–0.62] in the intervention group. Moreover, the need for endoscopic or surgical interventions [OR 0.41; 95%CI 0.28–0.61] were significantly reduced by LMWH. The subgroup analyzes for moderate and severe cases, respectively, yielded similar results. Due to limited data, we could no perform subgroup analysis for mild cases. Conclusion LMWH therapy reduces major complication rates in moderate and severe AP. Across all identified RCTs, LMWH were initiated early after AP diagnosis and improved its prognosis.
Faulty Line Identification in AC–DC Hybrid Grids Based on MTF and Improved Resnet

As the degree of AC-DC hybridization of power grids is increasing, their fault characteristics become more complex, and the current hybrid grid fault diagnosis methods, despite their high accuracy, are not sufficiently adaptable, so there is an urgent need to study new grid fault diagnosis methods. To this end, the Markov Transition Field combined with an improved Resnet fault line identification method for AC-DC hybrid grids is proposed. First, the data is reconstructed by the improved complete ensemble empirical mode decomposition with adaptive noise, and then the MTF is used to transform the one-dimensional signal into a two-dimensional picture, then on the basis of residual neural network, the original network is improved by adding multi-branch cavity convolution structure and Ghost module, and the fault features are adaptively extracted and classified by the improved network, so as to realize faulty line identification. The experimental results show that the proposed method can effectively identify the fault lines of AC-DC hybrid power grid, the improved residual neural network can dig out the fault features more deeply, and has strong anti-noise and anti-data loss interference ability, the method has 99.91% fault line identification accuracy. It has higher recognition performance compared to traditional machine learning algorithms and various deep learning algorithms.
Capability analysis of computational fluid dynamics models in wind shield study on Queensferry Crossing, Scotland

Bridge aerodynamic studies are essential in ensuring the safety and acceptable performance of long-span bridges vulnerable to the effects of crosswinds. Aerodynamic studies were traditionally carried out in wind tunnel facilities, but there are now greater opportunities for using computational fluid dynamics modelling. Few studies of three-dimensional aerodynamic simulations of lightweight vehicles on bridges exist but there has been limited validation and verification work done to date. In the study reported in this paper, three-dimensional computational fluid dynamics models were developed for the Queensferry Crossing cable-stayed bridge in Scotland, containing wind shields and sample vehicles. The models considered the wind effects from a range of yaw wind angles and subsequently determined the aerodynamic coefficients of vehicles. The models were verified by means of a mesh sensitivity study, a domain sensitivity study and comparisons with wind-tunnel test results. The models were then validated by using the same modelling process with a different type of wind shield, and again comparing results with wind-tunnel test data for the same configuration. Results demonstrated that the modelling can determine the aerodynamic coefficients to a similar level of accuracy to that of wind tunnel tests.
Affective tourism destination image: the case of Portorož

Purpose – The purpose of this paper is to investigate perceptions of tourists regarding affective tourism destination image of Portorož. Design/methodology/approach – Four semantic differential scales, proposed by Russel and Pratt, were used to for this study to measure pleasant/unpleasant, arousing/sleepy, exciting/gloomy and relaxing/distressing dimensions of affective tourism destination image. The survey instrument was a structured questionnaire. Data were collected across several locations in Portorož resulting in a sample of 417 tourists. Descriptive statistics is used in empirical research. Findings – Portorož appears to be generally perceived as a relaxing and pleasant destination. On the contrary, it is perceived to be neither an arousing nor a sleepy destination and neither an exciting nor a boring destination. Perceptions of an affective tourism destination image in regard to the main motive to visit Portorož are also analyzed. Originality – The paper enhances the slim body of knowledge on affective tourism destination image in the Mediterranean destinations.
A Constitutive Model Controlling Damping for 2D and 3D Site Response

Modulus reduction and damping curves are commonly used as input parameters in site response analyses. Until very recently, constitutive models for nonlinear site response analysis could not accurately capture both the desired modulus reduction and damping behavior due to flaws in the assumed functional form for the backbone curve, and/or flaws in the unload-reload relationship. New relationships that solve these issues have recently been proposed, however, they are restricted to defining the in-plane stress-strain relationship for a single plane of shear, and are therefore only appropriate for 1D site response. This paper presents a multi-axial generalization of one of these 1D models, enabling its use in 2D and 3D site response. The 1D model is first briefly described, followed by the multi-axial generalization in terms of stress and strain invariants. The modulus reduction and damping curves are defined in terms of stress ratios rather than shear strains, which allows the model to better capture changes in confining pressure during undrained loading. An example is presented to illustrate fundamental differences in multi-axial versus 1D loading.
What is the magnetic ﬁeld distribution for the equation of state of magnetized neutron stars?

In this Letter, we report a realistic calculation of the magnetic ﬁeld proﬁle for the equation of state inside strongly magnetized neutron stars. Unlike previous estimates, which are widely used in the literature, we ﬁnd that magnetic ﬁelds increase relatively slowly with increasing baryon chemical potential (or baryon density) of magnetized matter. More precisely, the increase is polynomial instead of exponential, as previously assumed. Through the analysis of several diﬀerent realistic models for the microscopic description of stellar matter (including hadronic, hybrid and quark models) combined with general relativistic solutions endowed with a poloidal magnetic ﬁeld obtained by solving Einstein-Maxwell’s ﬁeld equations in a self-consistent way, we generate a phenomenological ﬁt for the magnetic ﬁeld distribution in the stellar polar direction to be used as input in microscopic calculations.
Tracking slow-moving landslides with PlanetScope data: new perspectives on the satellite’s perspective

PlanetScope data with daily temporal and 3-m spatial resolution hold an unprecedented potential to quantify and monitor surface displacements from space. Slow-moving landslides, however, are complex and dynamic targets that alter their topography over time. This leads to orthorectification errors, resulting in inaccurate displacement estimates when images acquired from varying satellite perspectives are correlated. These errors become particularly concerning when the magnitude of orthorectification error exceeds the signal from surface displacement which is the case for many slow-moving landslides with 5 annual velocities of 1 - 10 m/yr. This study provides a comprehensive assessment of orthorectification errors in PlanetScope imagery and presents effective mitigation strategies for both unrectified L1B and orthorectified L3B data. By implementing these strategies, we achieve sub-pixel accuracy, enabling the estimation of realistic and temporally coherent displacement over landslide surfaces. The improved signal-to-noise ratio results in higher-quality disparity maps, allowing for a more detailed analysis of landslide dynamics and their driving factors. 10
Metrics for Analyzing the Quality of Model Transformations — Extended Abstract ⋆

Model Driven Engineering [2] is an emerging software engine ering discipline in which models play a central role throughout the entire developmen t process. MDE combines domain-specific modeling languages for modeling software s ystems and model transformations for synthesizing them. Similar to other softwar e engineering artifacts, model transformations have to be used by several developers, have to be changed according to changing requirements and should preferably be reused. B ecause of the prominent role of model transformations in today’s and future softwar e engineering, there is the need to define and assess their quality. Quality attributes s uch as modifiability, understandability and reusability need to be understood and defin ed in the context of MDE, i.e., for model transformations. The goal of our research is to make the quality of model transformations measurable. Currently, we focus on model t ransformations created using the ASF+SDF [3] term rewriting system, but we expect that our techniques can be applied to model transformations created using different t ransformation engines such as ATL [4] as well. We identified seven quality attributes relevant for model tr ansformations, viz. understandability, modifiability, reusability, modularity, co nciseness, consistency, and completeness. Most of these quality attributes have already be defined for other software artifacts. We describe why they are specifically relevant fo r model transformations. We also identified a set of approximately forty metrics and re lated these to the quality attributes to define how the quality attributes should be assessed. Furthermore, we created a tool that can extract (most of) the metrics we define d from model transformations specified in the ASF+SDF formalism. We used this tool to evaluate a number of transformations. The same transformations were also manua lly ev luated by ASF+SDF experts to validate the relationship between metrics and qu ality attributes we established. The next step in our ongoing research is to define a set of metri cs for ATL and use these to assess the same quality attributes. We also plan to define a quality model in which we define a relationship between the quality attribu es. Once we have identified quality problems in model transformations, we can pro pose a methodology for improving their quality.
Automatic identification of fault zone head waves and direct P waves and its application in the Parkfield section of the San Andreas Fault, California

S U M M A R Y Fault zone head waves (FZHWs) are observed along major strike-slip faults and can provide high-resolution imaging of fault interface properties at seismogenic depth. In this paper, we present a new method to automatically detect FZHWs and pick direct P waves secondary arrivals (DWSAs). The algorithm identifies FZHWs by computing the amplitude ratios between the potential FZHWs and DSWAs. The polarities, polarizations and characteristic periods of FZHWs and DSWAs are then used to refine the picks or evaluate the pick quality. We apply the method to the Parkfield section of the San Andreas Fault where FZHWs have been identified before by manual picks. We compare results from automatically and manually picked arrivals and find general agreement between them. The obtained velocity contrast at Parkfield is generally 5–10 per cent near Middle Mountain while it decreases below 5 per cent near Gold Hill. We also find many FZHWs recorded by the stations within 1 km of the background seismicity (i.e. the Southwest Fracture Zone) that have not been reported before. These FZHWs could be generated within a relatively wide low velocity zone sandwiched between the fast Salinian block on the southwest side and the slow Franciscan Mélange on the northeast side. Station FROB on the southwest (fast) side also recorded a small portion of weak precursory signals before sharp P waves. However, the polarities of weak signals are consistent with the right-lateral strike-slip mechanisms, suggesting that they are unlikely genuine FZHW signals.
, M.

The addition and removal of presynaptic terminals reconﬁgures neuronal circuits of the mammalian neocortex, but little is known about how this presynaptic structural plasticity is controlled. Since mitochondria can regulate presynaptic function, we investigated whether the presence of axonal mitochondria relates to the structural plasticity of presynaptic boutons in mouse neocortex. We found that the overall density of axonal mitochondria did not appear to inﬂuence the loss and gain of boutons. However, positioning of mitochondria at individual presynaptic sites did relate to increased stability of those boutons. In line with this, synaptic localization of mitochondria increased as boutons aged and showed differing patterns of localization at en passant and terminaux boutons. These results suggest that mitochondria accumulate locally at boutons over time to increase bouton
on transcriptomic profiling of cholestatic liver injury induced by food additives and a cosmetic ingredient

The provided dataset describes the differential gene expression proﬁle of human hepatoma HepaRG cells cultured in monolayer conﬁguration upon treatment with chemical compounds with cholestatic potential, including food additives sunset yellow and tartrazine and cosmetic ingredient tri-closan, while being exposed to a highly concentrated bile acid mixture. Whole genome microarray Affymetrix Human U133 plus 2.0 was used to obtain the raw data followed by normalization, summarization and background adjustments by means of Robust Multichip Average Express software. Raw data of the different conditions were included as . CEL ﬁles in the Gene Expression Omnibus with accession number GSE169072. These data may serve as the basis for further reﬁnement studies to establish an adequate transcriptomic signature of chemical-induced cholestasis ﬁt-for-purpose in screening the cholestatic liability of different types of chemical compounds. © 2021 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY
The role of high-tech parks in China´s regional economy: empirical evidence from the IC industry in the Zhangjiang High-tech Park, Shanghai

Numerous empirical investigations have been carried out which assess the roles of high-tech parks worldwide. Most of them focus on collaboration within the parks, innovation, and the formation of innovative local clusters, reflect ing the perspective of industrialized countries. Chinese high-tech parks, however, are different in many ways. Besides the usual functions of stimulating collaboration and innovation, they are designed to attract foreign investment and to func tion as hubs for integrated regional economic development. This paper takes one of the country's leading high-tech parks, Zhangjiang High-tech Park in Shanghai (ZJ), and its most prominent industry, the IC industry (integrated circuits; micro electronics), as an example. Using survey data from 2008, it analyzes to what extent high-tech parks fulfill their different roles. It turns out that ZJ has successfully attracted FDI, today showing clear signs of technical dependence on foreign companies, at least in the field of advanced machinery. However, as ZJ remains focused on the design, manufacturing and testing of ICs that do not belong to the latest generation, the park has not succeeded in stimulating innovation, with the FDI-focused development policy thus not being successful in this respect. However, ZJ helps to raise the overall technologi cal level in the Yangtze River Delta. The park succeeds in integrating the regional activities into global value chains and acts as an integrated economic hub that combines production factors from Shanghai and other parts of China.
Anxiety Symptoms among Extension Professionals' During the Anxiety Symptoms among Extension Professionals' During the COVID-19 Pandemic with the GAD-2 COVID-19 Pandemic with the GAD-2

According to the National Institute of Mental Health, anxiety disorders are a common mental health disorder but often remain undetected and undertreated. During the COVID-19 pandemic, Extension professionals have worked hard to address emerging issues that communities face, possibly impacting the amount of anxiety they experience. This study determined the prevalence of anxiety symptoms among Extension professionals in the United States. Participants from 24 states completed a survey containing the Generalized Anxiety Disorder 2-item (GAD-2) screener. Almost one-quarter of Extension professionals had a GAD-2 score greater than three, an indicator of anxiety with a possibility of generalized anxiety disorder, which is similar to that of the general population. Also, female and male Extension professionals were about equal in the prevalence of anxiety symptoms, which is contrary to the literature. Extension administrators should consider ways to help their employees with this anxiety, especially during and after traumatic events.
FOREGASTING WITH ABAPTIVE FILTERING

— During the past decade Régression Analysis has gained wide acceptance as a method for preparing medium and long range forecasts for time series. However/for a short-term forecasting situation or when the number of observations is small, régression analysis is costly and of ten impractical. Exponential smoothing is the forecasting method most of ten used in these latter situations, but it has some major shortcomings ioo. Rather than trying to distinguish some underlying pattern from the noise (randomness) includedin observed data, exponential smoothing simpfy « smooths » the extreme values in preparing a forecast, which in many cases is not completely suitable. Thus there are a number of medium range forecasting situations and cases for which not much data is available where neither régression analysis nor exponential smoothing methods are appropriate. This paper briefly examines the gênerai class of forecasting methods that are based on a weighting of past observations and then présents the theoretical and practical aspects of adaptive filtering, a method for determining an appropriate set ofweights. Adaptive Filtering* a technique prevlously developed in télécommunications engineering, is attractive in many forecasting situations involving time series because it does discriminate between noise and an underlying pattern, it is conceptually appealing and easy to apply, it can be used with a relatively small amount of data, and the accuracy and reliability of its forecasts compare very favorably with other techniques.
A new ﬁ nite-element procedure for vibration analysis of FGP sandwich plates resting on Kerr foundation

: This article provides a new ﬁ nite-element procedure based on Reddy ’ s third-order shear deformation plate theory (TSDT) to establish the motion equation of functionally graded porous (FGP) sandwich plates resting on Kerr foundation (KF). Although Reddy ’ s TSDT is attractive, it cannot be exploited as expected in ﬁ nite-element analysis due to the di ﬃ culties in satisfying the zero shear stress boundary condition. In this study, the proposed element has four nodes, each with seven degrees of freedom (DOF). The performance of this element is con ﬁ rmed by conducting various examples, showing its accuracy and range of applications. Then, some studies are performed to pre-sent the e ﬀ ects of input parameters on the vibration of FGP sandwich plates resting on KF.
The fallacy of identification by neutralization in the light of cytopathic effect non-2 producing enterovirus strains

1 The fallacy of identification by neutralization in the light of cytopathic effect non2 producing enterovirus strains. 3 4 ABSTRACT: 5 We describe the characterization of an enterovirus isolate recovered from untreated raw 6 sewage in Ibadan, southwest Nigeria in 2010. The isolate was neutralized by specific antisera 7 and consequently identified as Echovirus 7 (E7). Subsequent molecular characterization 8 showed the isolate to be a mixture of E7 and Coxsackievirus A24 (CV-A24) thereby 9 suggesting the CV-A24 strain to be non-cytopathic effect producing. It is therefore crucial 10 that identities of enterovirus strains determined by neutralization assay be verified by 11 molecular characterization to ensure they do not have any non-cytopathic effect producing 12 strain(s) lurking unnoticed. 13
FEASIBILITY ANALYSIS OF SHORT PROCESS FLEXIBLE PRECISION FORMING OF ALUMINUM ALLOY AUTOMOBILE HOLLOW SHAFT

Aiming at the large weight of automobile steel solid shaft, this paper innovates aluminum alloy hollow shaft. The rolling process of automobile hollow shaft was simulated by using the short process flexible precision forming process and the Finite Element Method (FEM). The variation of the shape and inner hole of the rolled piece, the round-ness of the outer surface and the wall thickness during the rolling process were analyzed. The numerical results verify the feasibility of rolling aluminum alloy automobile hollow shaft by this process, and provide a theoretical basis for forming aluminum alloy automobile hollow shaft in China.