Miracle-dz/UniFAR-FTUs huggingface dataset:
The matter of size: On the moment magnitude of microseismic events

ABSTRACTWe investigated the method of estimating seismic moment and moment magnitude for microseismic events. We determined that the M0T defined by Bowers and Hudson is the proper scalar moment to be used in microseismic studies for characterizing the size of an event and calculating its moment magnitude. For non-double-couple sources, the proportional relationship between body-wave amplitude and seismic moment in the Brune model breaks down. So under such situations, the Brune model is not an appropriate way to estimate the seismic moment and magnitude. Moreover, the S-wave alone is not sufficient for determining the total seismic moment. Instead, the P-wave must be analyzed. An example Barnett Shale data set was studied, and the results concluded that the magnitudes estimated with the Brune model could be off by as much as 1.92, with an absolute average of 0.35. The moment magnitudes based on the scalar moment M0T also gave a significantly different event size distribution and b-value estimation. Finall.
A fusion non-convex group sparsity difference method and its application in rolling bearing fault diagnosis

Bearing fault is a common factor leading to machine failures. How to extract the periodic transient signal due to bearing faults submerged in strong noise is a challenging problem for bearing fault diagnosis. Total variation denoising is a method used to remove noise and extract features. However, it solely relies on the sparsity of the first-order difference of the signal, resulting in the loss of important features and underestimation of amplitude. Additionally, it fails to capture the periodicity of the signal. To address these issues, a novel approach called fusion non-convex group sparsity difference (FNC-GSD) method is proposed for bearing fault diagnosis. Firstly, it is recognized that noise does not exhibit sparsity in the difference domain, while transient signal exhibits group sparsity in the difference domain. This grouping property enhances the feature selection ability of sparse model. Inspired by this, the group sparsity of the transient signal in the difference domain is used to preserve the fault features as much as possible. Additionally, in order to promote sparsity of the signal itself in the time domain to preserve the potential impulse component, a l 1-norm regularization term is introduced. Furthermore, a non-convex sparsity-inducing penalty function strategy is employed to prevent amplitude underestimation. The proposed sparse model considers both the group sparsity in the difference domain and the sparsity in the time domain of the transient signal, and its solution is derived according to the majorization–minimization algorithm. And the particle swarm optimization algorithm is used to adaptively search the regularization parameters of FNC-GSD. Finally, multiple bearing fault diagnosis experiments are conducted to demonstrate the performance of the FNC-GSD. The results show that it has advantages in fault feature extraction compared with some other methods.
Mechanosensitive channels in lung disease

Mechanosensitive channels (MS channels) are membrane proteins capable of responding to mechanical stress over a wide dynamic range of external mechanical stimuli. In recent years, it has been found that MS channels play an important role as “sentinels” in the process of cell sensing and response to extracellular and intracellular force signals. There is growing appreciation for mechanical activation of ion channels and their subsequent initiation of downstream signaling pathways. Members of the transient receptor potential (TRP) superfamily and Piezo channels are broadly expressed in human tissues and contribute to multiple cellular functions. Both TRP and Piezo channels are thought to play key roles in physiological homeostasis and pathophysiology of disease states including in the lung. Here, we review the current state of knowledge on the expression, regulation, and function of TRP and Piezo channels in the context of the adult lung across the age spectrum, and in lung diseases such as asthma, COPD and pulmonary fibrosis where mechanical forces likely play varied roles in the structural and functional changes characteristic of these diseases. Understanding of TRP and Piezo in the lung can provide insights into new targets for treatment of pulmonary disease.
Familial aspects of fear of cancer recurrence: current insights and knowledge gaps

Fear of cancer recurrence is fear or worry about cancer recurrence or progress. Fear of recurrence can impact patients’ quality of life and wellbeing. Cancer survivors’ families support them practically and emotionally, making them a vital supplement for official healthcare. Given the well-established important role of the family in dealing with cancer, we compiled the studies that examined the relationship between family-related factors and fear of cancer recurrence (FCR) among cancer survivors (CSs). One of the foremost studies in this field is the FCR model presented by Mellon and colleagues, which included concurrent family stressors and family-caregiver FCR as factors linked to survivor FCR. Our goal was to prepare the ground for a family-based model of FCR that is more comprehensive than the one proposed by Mellon et al. sixteen years ago. The studies included those with samples of adult cancer survivors from different regions of the world. Most of the studies we reviewed are cross-sectional studies. We categorized family-related factors associated with survivor FCR into partner-related factors, including subgroups of disclosure to partner, cognitions of partner, and partner’s sources of support; parenthood-related factors, including having children and parenting stress; family-related factors, including living situation, family history of cancer, family’s perception of the illness, and family characteristics; and social interactions including social support, disclosure, social constraints, and attitudes of others. This review sheds light on how significant others of cancer survivors can affect and be affected by cancer-related concerns of survivors and emphasizes the necessity of further investigation of family-related factors associated with FCR.
Improved 2,3-Butanediol Production Rate of Metabolically Engineered Saccharomyces cerevisiae by Deletion of RIM15 and Activation of Pyruvate Consumption Pathway

Saccharomyces cerevisiae is a promising host for the bioproduction of higher alcohols, such as 2,3-butanediol (2,3-BDO). Metabolically engineered S. cerevisiae strains that produce 2,3-BDO via glycolysis have been constructed. However, the specific 2,3-BDO production rates of engineered strains must be improved. To identify approaches to improving the 2,3-BDO production rate, we investigated the factors contributing to higher ethanol production rates in certain industrial strains of S. cerevisiae compared to laboratory strains. Sequence analysis of 11 industrial strains revealed the accumulation of many nonsynonymous substitutions in RIM15, a negative regulator of high fermentation capability. Comparative metabolome analysis suggested a positive correlation between the rate of ethanol production and the activity of the pyruvate-consuming pathway. Based on these findings, RIM15 was deleted, and the pyruvate-consuming pathway was activated in YHI030, a metabolically engineered S. cerevisiae strain that produces 2,3-BDO. The titer, specific production rate, and yield of 2,3-BDO in the test tube-scale culture using the YMS106 strain reached 66.4 ± 4.4 mM, 1.17 ± 0.017 mmol (g dry cell weight h)−1, and 0.70 ± 0.03 mol (mol glucose consumed)−1. These values were 2.14-, 2.92-, and 1.81-fold higher than those of the vector control, respectively. These results suggest that bioalcohol production via glycolysis can be enhanced in a metabolically engineered S. cerevisiae strain by deleting RIM15 and activating the pyruvate-consuming pathway.
High-resolution remote sensing image building contour extraction based on superpixel segmentation and LBP features

The traditional pixel-level extraction of building outlines is limited by the single feature, while the fitting of building outlines is limited by the problem of building corner extraction and complex shapes. This paper proposes a multi-level building contour extraction method that combines superpixel segmentation with LBP features. In this method, the SLIC method is used to segment the image, and the object-oriented method combined with LBP features is used to classify the building area for each segmented area, and then the building area is extracted using the pixel-level method combining LBP value and spectral feature. Building silhouettes. Experimental results show that this method is superior to traditional pixel-level extraction in terms of classification effect and accuracy.
Summary of atmospheric characteristics of days with inland penetrating sea breezes from 2015 to 2021

Sea breezes penetrate inland more than 100 km. Using 7 years of meteorological observations, we have identified 470 cases of deep inland (>100 km) penetrating sea breezes at the Savannah River Site between March and October (27% of days) of 2015–2021. We compared measurements of temperature, dewpoint temperature, incoming solar radiation, cloud fraction, and lightning on days of sea breeze initiation, the day after the sea breeze passage, and all other nonsea breeze (NSB) days for these 8 months over the 7 years. Days of sea breeze initiation were found to have lower cloud fraction, higher temperature, and greater incoming solar radiation compared with NSB days. Variations occurred by time of year as days after the sea breeze passage were found to have higher dewpoint temperature than NSB days in the spring. Lightning density measurements indicated that residual sea breeze conditions could drive earlier initiation of deep convection on days following the sea breeze than normal non sea breeze days. This data set provides a 7‐year record of sea breezes which can be leveraged for future studies.
Probabilistic seismic hazard assessment for the South Central Vietnam

In this paper, the probabilistic seismic hazard maps for the South Central Vietnam are presented. An earthquakes catalog updated until 2014 and most recent seismotectonic and geodynamic information were used for delineation of 14seismic source zones in the study area. The Toro et al. (1997) attenuation equation was used for the PSHA. The hazard maps show distribution of the mean peak ground acceleration (PGA) with a 10%, 5%, 2% and 0.5% probability of exceedance in 50 years. The highest values of PGA are observed in the continental shelf of the South Central Vietnam, in the 109 meridian source zone, where the maximum PGA values are 0.12, 0.15, 0.2 and 0.28 g corresponding to the return times of about 500, 1000, 2500 and 10 000 years, respectively. In addition, two seismic source zones that can produce strong ground shaking off-shore South Central coast are Cuu Long Con Son and Thuan Hai Minh Hai. For the time period of about 1000 years, the highest shaking intensity within these source zones reaches the value of VIII (I=VIII by MSK-64 scale). In the territory of South Central Vietnam, the strongest shaking are observed in the Quang Nam and Quang Ngai provinces, in the Hung Nhuong Ta Vi seismic source zone. For the return times of about 500, 1000, 2500 and 10 000 years, the highest PGA values in this zone are 0.1, 0.12, 0.14 va 0.17 g, respectively. Strong ground shakings are also observed in some other seismic source zones as Tuy Hoa Cu Chi, Hau river and Nha Trang Tanh Linh. ThePGA maps present both short-term and long-term forecasts of seismic hazard in the South Central Vietnam and can be used as a reference for antiseismic design and many engineering applications. © 2014 Vietnam Academy of Science and Technology
TESTING VOLATILITY PERSISTENCE WITH FRACTIONAL INTEGRATIONAND COINTEGRATION IN WORLDWIDE COMMODITY MARKETS

In this paper, we examine the volatility of commodity prices around the world using monthly data for the time period 1960–2022. During this period, there were significant economic crises that increased the prices of both energy and non-energy commodities in the short term. These past crises may provide insights into the behavior of current crises, as they generally exhibit similar patterns. We use fractional integration methods and find that the volatility for each variable exhibits mean reversion, with the effect of the shocks disappearing in the long run. While this may seem obvious, our paper is the first to empirically demonstrate this significant process of convergence using a flexible time series model. As an additional contribution, we complement our analysis by incorporating a fractional cointegration test to examine potential relationships among the commodity prices. Our findings reveal the existence of four distinct cointegrating relationships within the set of ten commodity prices. This implies that these commodities are not entirely independent and may share underlying connections that contribute to their price movements over time. This valuable insight further enriches our understanding of the intricate interactions within the commodity market. We conclude that although countries do not have effective policies for mitigating volatility, it is only a short-term phenomenon that will disappear in the long term.
Reanalysis of Producing Area Suitability for Cistanche tubulosa

OBJECTIVE To identify appropriate producing areas of Cistanche tubulosa for regionalization of its production.METHODS The Geography Information System for Traditional Chinese Medicine(TCMGIS) was applied to analyze the appropriate producing area based on the ecological factors of Cistanche tubulosa distribution area in Southern Xinjiang.RESULTS The most suitable areas for C.tubulosa were 27 counties or cities on the border Takalama Desert in Southern Xinjiang which had clear regional properties.CONCLUSION C.tubulosa does not coincide with its host in distribution areas,which is a caution for plantation of C.tubulosa out of Southern Xinjiang in China.
Expert Database on the Earth Impact Structures

An Expert Database on the Earth Impact Structures (EDEIS) has been compiled and is being maintained in the Tsunami Laboratory of the Institute of Computational Mathematics and Mathematical Geophysics of SD RAS in Novosibirsk. This database is somewhat more liberal than the well-known Earth Impact Database maintained by the Planetary and Space Science Centre, University of New Brunswick, Canada. In addition to including the fully validated impact structures, the EDEIS also lists proposed structures whose im- pact genesis still needs validation. For any structure, the degree of confidence of impact origin is reflected by its validity index V, which varies from 4 (confirmed) to 0 (rejected) with intermediate values of 3 (probable), 2 (perspective) and 1 (proposed for further study). Classi- fication of structures over the validity index is based on some sort of expert judgment and reflects the availability of impact criteria found at four different levels — morphological, geological, petrological, and mineralogical. Currently, the database contains 1020 structures, among them 214 with V = 4, 211 with V = 3, 455 with V = 2, and 47 with V = 1. 93 structures have validity index V = 0, because the once proposed impact origin was later disproved by additional studies. Cataloging of impact structures discovered on the Earth surface is an important instrument for evaluation of frequency of impacts and for studying the comet and asteroid hazard. Presently there exist more than 10 global ca- talogs and databases on Earth impact structures. The widely-known Earth Impact Database (EID), maintained by the Planetary and Space Science Cen- tre, University of New Brunswick, Canada (1) is considered to be a reference database in this field. The EID, currently having 176 craters, contains only those structures whose impact genesis has been confirmed over the whole
A 3D modelling method for road based on vehicle laser point cloud

To address the challenges pertaining to the sluggish 3D reconstruction of the road surface, excessive workload, and limited adaptability, this study undertook the feature extraction of road point cloud data exhibiting diverse linear shapes, leveraging vehicle-mounted laser point cloud data. Additionally, a novel approach was devised to automatically construct the road triangulation network, thereby achieving a high-precision digital restoration of the road surface. Initially, the data attributes of the laser point cloud obtained from road vehicles are considered, and a data preprocessing technique is devised using the Alpha Shapes algorithm and the point cloud grid thinning algorithm. This method aims to retain crucial information pertaining to the elevation of the road surface, linear boundaries of the road surface, and skeletal features of the road surface. Subsequently, a technique is devised for constructing a Delaunay triangulation network using ordered point cloud data, based on the boundary points and feature points of the road surface. Additionally, an investigation is conducted on a method for constructing a road surface triangulation network with road boundary constraints, enabling the identification and removal of triangles located outside the road surface, thereby achieving precise restoration of the road surface. Ultimately, the assessment of the generated 3D pavement model's quality validates the method's feasibility and accuracy.
3D bioprinting of dECM-incorporated hepatocyte spheroid for simultaneous promotion of cell-cell and -ECM interactions

The cell spheroid technology, which greatly enhances cell-cell interactions, has gained significant attention in the development of in vitro liver models. However, existing cell spheroid technologies still have limitations in improving hepatocyte-extracellular matrix (ECM) interaction, which have a significant impact on hepatic function. In this study, we have developed a novel bioprinting technology for decellularized ECM (dECM)-incorporated hepatocyte spheroids that could enhance both cell-cell and -ECM interactions simultaneously. To provide a biomimetic environment, a porcine liver dECM-based cell bio-ink was developed, and a spheroid printing process using this bio-ink was established. As a result, we precisely printed the dECM-incorporated hepatocyte spheroids with a diameter of approximately 160–220 μm using primary mouse hepatocyte (PMHs). The dECM materials were uniformly distributed within the bio-printed spheroids, and even after more than 2 weeks of culture, the spheroids maintained their spherical shape and high viability. The incorporation of dECM also significantly improved the hepatic function of hepatocyte spheroids. Compared to hepatocyte-only spheroids, dECM-incorporated hepatocyte spheroids showed approximately 4.3- and 2.5-fold increased levels of albumin and urea secretion, respectively, and a 2.0-fold increase in CYP enzyme activity. These characteristics were also reflected in the hepatic gene expression levels of ALB, HNF4A, CPS1, and others. Furthermore, the dECM-incorporated hepatocyte spheroids exhibited up to a 1.8-fold enhanced drug responsiveness to representative hepatotoxic drugs such as acetaminophen, celecoxib, and amiodarone. Based on these results, it can be concluded that the dECM-incorporated spheroid printing technology has great potential for the development of highly functional in vitro liver tissue models for drug toxicity assessment.
Evaluation of gas diffusivity models for no-tilled and tilled volcanic ash soils

ABSTRACT Accurate quantification of soil gas diffusion is essential to understand the gas transport mechanism in soils, especially for soil greenhouse gas emissions. To date, the performance of soil gas diffusivity (Dp/D0, where Dp is the soil gas diffusion coefficient and D0 is the diffusion coefficient in free air) models has seldom been evaluated for no-tilled and tilled volcanic ash soils. In the present study, six commonly used models were evaluated for volcanic ash soils under two treatments by comparing the predicted and measured soil gas diffusivities at water potentials of pF 1.3–3. The Buckingham-Burdine-Campbell (BBC), soil-water-characteristic-dependent (SWC-dependent), and two-region extended Archie’s Law (2EAL) models showed better performance for both no-tilled and tilled volcanic ash soils, which is likely because porosity and pore size parameters of bimodal soils were taken into consideration in these models. Since the BBC model showed better accuracy than the SWC-dependent and 2EAL models and required fewer, more easily measurable parameters, this study recommends the BBC model for predicting soil gas diffusivity of volcanic ash soil under different tillage managements. In future studies, the BBC model should be further tested at water potentials of pF > 3, and may be improved by including the parameters of pore continuity and saturation.
Integrated tectonic basin modelling as an aid to understanding deep-water rifted continental margin structure and location

An integrated workflow has been devised for the investigation of deep-water rifted continental margins. At a margin this allows us to predict the crustal structure, the distribution of continental-lithosphere thinning and the location of the ocean–continent transition with a new degree of confidence. The workflow combines the analytical techniques of 2D or 3D gravity inversion, 2D or 3D flexural backstripping with reverse thermal subsidence modelling, upper-crustal fault analysis and rifted margin forward modelling. No one technique on its own can provide all of the required answers, nor can it provide answers without some degree of uncertainty. The use of a combination of techniques, however, provides answers to several different problems and, crucially, more confidence in these answers. The workflow provides direct information on the present-day geometry of rifted margins and leads towards a better understanding of the geodynamic evolution of these margins. It also provides information which can inform the exploration process by making predictions about crustal structure at the ocean–continent transition, the location of the continent–ocean boundary, stretching-factor, heat-flow magnitude and history, palaeobathymetric history and subsurface palaeostructure. Application of the workflow is illustrated here with reference to the continental margins of West India, Brazil, West Australia, Norway and Newfoundland–Iberia.
The changes in the values of ecological-stabilization functional potentials of forests in the model area Český les.

FIALOVÁ, J., VYSKOT, I. 2010. The changes in the values of ecological-stabilization functional potentials of forests in the model area Český les. Folia oecol. , 37: 16–22. The aim of the work was to quantify the ecological-stabilization forest function by the method of VYSKOt et al. (2003). The importance of living forests for sustainable development was discussed on many ministerial conferences. If we preserve forests, we will preserve life. Our study was pursued in a model area – a part of the protected landscape area Český les. The objective was to evaluate the real potentials of ecological-stabilization forest function and to see how these potentials are distributed in the individual forest management intervals. According to these results, we can discuss the previous management in the area. Both nature conservation and forest function needs require the quantification in both aspects. For the zones with declared protection, the needs of nature conservation have been defined, but the forest functions-related ones have not been included. The map of the distribution of real potentials for evolving ecological-stabilization forest function has been created.