Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating reservoir parameters and gas storage volume available in the DU6 gas field, Northeast China

This study comprehensively evaluated the feasibility of the DU6 gas reservoir for gas storage in terms of storage performance, safety, and effectiveness. First, based on the fine division of small layers in the target area, the existing sedimentary facies markers, and paleoenvironment were identified and the fan delta front subfacies sedimentary model was established. The microfacies included an underwater distributary channel, mouth bar, sand sheet, and interdistributary bay, and the horizontal and vertical distributions of the effective reservoir sandstone were determined. Then, using petrophysical experimental data, the macroscopic and microstructural characteristics of the reservoir rock were examined, and the type and composition characteristics of the sandstone, pores, and the connectivity between pores were evaluated. By employing mechanical experiments, it was found that the sandstone permeability change rate with pressure is very large, reaching as high as 50%. In addition, the relationship between the pressure and rock micropore structure change was established. Finally, based on the fine reservoir characterization, the potential of transforming DU6 reservoir into gas storage was evaluated, and the sealing properties of its faults, top caprocks, and surrounding water were identified. The effective pore volume for underground gas storage was determined quantitatively, and the utilization rates of pores were calculated according to different sedimentary microfacies. Overall, the available gas sand body volume of the DU6 gas reservoir was found to be 9048 × 104 m3, with a gas storage capacity reaching 99.27 × 108 m3. These results will provide reliable technical support for the successful reconstruction of underground gas storage areas.
Rational Actors, Passive and Helpless Victims, Neither, Both: EU Borders and the Drive to Migrate in the Horn of Africa

This article argues that neither borders nor the ways in which migrants see them constitute significant deterrents to the migrants’ resolve to migrate. The argument is based on an investigation of migrants en route to Europe from the Horn of Africa and the ways in which they see EU external borders and how that contributes to the decision to migrate. The article advances critiques of rational choice models of migrant decision-making that are based mainly on economic factors and contributes to theoretical explanations of why some people in the Horn of Africa migrate irregularly, despite measures enforced by state authorities to curb their movement. The article draws on a qualitative thematic analysis of personal face-to-face interviews conducted with migrants from four countries in the Horn of Africa who were in Ethiopia at the time of the research. In the interviews, there was sufficient evidence that migrants had realistic perceptions of European borders and that life in Europe might not be rosy. But this did not dampen the resolve to migrate. Solutions other than those that inhibit movement but understand, are sensitive to and include the perceptions of migrants are more likely to effectively address challenges associated with irregular migration.
Compositional Analysis of Interstellar Dust as seen by the Cassini Cosmic Dust Analyzer

The main goal of this thesis is to evaluate constraints on the composition of interstellar dust (ISD) grain candidates, obtained via impact ionization time-of-flight-mass spectrometry with the Cosmic Dust Analyzer (CDA) onboard the Cassini spacecraft at Saturn. For this work, spectra of 13 extremely rare ISD candidates were extracted from the vast Cassini CDA data set, based on the evaluation of their dynamical and compositional properties, namely mass, speed and trajectory. The candidates show a siliceous composition. Space-based mass spectrometers need terrestrial calibration. Therefore, we accelerated a specifically manufactured orthopyroxene dust analogue from a natural rock onto the laboratory unit of the CDA, and onto the Large Area Mass Analyzer (LAMA). The dust analogue material underwent extensive geochemical analysis with scanning electron microscope (SEM) and electron microprobe analyses (EMPA) beforehand. In the course of this study we learned that the orthopyroxene separate used as dust analogue material contains five additional minor mineral species. Using classical four-isotope geochemical plots, data show clustering at orthopyroxene composition and asymmetric directional scatter towards the minor mineral endmembers. While a significant part of the stochastic scatter can well be due to experimental artifacts, the results imply that different compositions can be distinguished. It remained unclear why many particles - though being very small in the sub-micron range - seem to occur as mixtures. Mass spectra both from CDA and LAMA, can be divided into different types according to the dominating mass line within the spectra, which are in agreement with the results from the chemical analysis performed on the LAMA spectra. Further, the types of both CDA and LAMA spectra are comparable, since they show similar features. The calibration of LAMA spectra with orthopyroxene composition determined by EMPA allowed evaluation of sensitivity coefficients, and hence, to compare the chemical signatures of the in-situ spectra of the ISD candidates with typical compositions of terrestrial silicate minerals, and cosmochemically relevant reservoirs, e.g. primitive chondritic compositions resembling unaltered solar, volatile depleted or differentiated material, which experienced Fe-loss or gain due to core formation processes. A suite of Mg-Ca-rich ISD candidates tends to primitive, only slightly volatile depleted and undifferentiated matter, while a suite of Fe rich particles is similar to reduced metal or more oxidised Fe-rich silicate material.
Arreglo de fracturas geológicas en rocas miocénicas de la cuenca de México

The study of fracture arrangement is important for the understanding of fluid flow and has a wide application in several areas as slope stability analysis, geothermal fields, deep aquifers and oil exploration. The facture arrangement is an essential characteristic of the spatial distribution of the fractures, although the relation of the spatial arrangement of fractures with variables such as the rock type, the kilometric faults, and structural inheritance is unknowns. We explore de influence of these variables in the facture arrangement through of detail study of Miocene rocks in the Mexico basin. The Miocene rocks in the Mexico Basin are affected by three fracture systems oriented NE-SW, NNW-SSE and ~E-W. All fracture families present a cluster array, where the degree of clustering is related to the rock type that constitute the Miocene volcanic succession (lava flows and volcaniclastic deposits). In addition, the intensity of fracturing is stronger in lava flows than the volcaniclastic deposits, with an inverse relationship to the degree of clustering (Lyapunov Exponent). The F1 family (NE-SW) has groups of fractures characterized by a fractal distribution in mesoscopic scale. Meanwhile, the fractures F2 (NNWSSE) present groups that are associated with mechanical anisotropy in pre-Miocene rocks. This phenomenon is related to structural inheritance and/or reactivation. Finally, the fractures F3 (~E-W) form groups with a random distribution.
The Effect of Cement Aging on the Stability of a Cement-in-Cement Revision Construct

A revision surgery can be a complicated procedure. The prevention of the removal of a well-integrated cement mantle can minimize intraoperative complications. With the cement-in-cement technique, the implant will be fixated with a layer of bone cement onto the remaining cement mantle. In our experimental in vitro study, we investigated the effect of cement aging of a cement-in-cement revision construct and regular cement mantle on the bending strength. Two different types of bone cement were tested at four different stages of aging. The Palacos cement showed no significant difference in bending strength at any aging point, regardless of whether it was used primarily or as a cement-in-cement revision. In contrast, the SmartSet MV cement showed a significant difference between the primary and cement-in-cement applications depending on cement aging time. The comparison of the two cement-in-cement structures investigated showed significant differences between the manufacturers depending on the cement aging.
Perspectives of Convertors and Communication Aspects in Automated Vehicles, Part 2: Printed Antennas and Sensors for Automotive Radars

Automated vehicles are becoming popular across the communities of e-transportation across the globe. Hybrid electric vehicles and autonomous vehicles have been subjected to critical research for decades. The research outcomes pertinent to this topic in the literature have been motivated by the industry and researchers to emphasize automated vehicles. Part 1 of this survey addressed the critical aspects that concern the bidirectional converter topologies and condition monitoring activities. In the present part, 24- and 77-GHz low-profile printed antennas are studied for automotive radar applications. These antennas are mounted on automated vehicles to avoid collision and are used for radio tracking applications. The present paper states the types of antenna structures, feed mechanisms, dielectric material requirements, design techniques, performance parameters, and challenges at 24- and 77-GHz resonating frequency applications. The recent developments in feed methodologies, beam scanning concepts, and the effect of sidelobe levels are addressed. Furthermore, the reasons behind the transition from 24 to 77 GHz are reported in detail. The recent advances in the application of various sensor schemes in an automated vehicle have also been discussed.
Corneal Aberrations in Keratoconus: A Pentacam Scheimpflug Imaging Study

Objective: To investigate high-order corneal aberration alterations at different keratoconus (KC) stages using a Pentacam Scheimpflug camera (OCULUS, Wetzlar, Germany), and to compare data with healthy eyes Material and Method: This retrospective comparative study investigated clinical data of 50 patients (100 eyes) with KC and 59 healthy individuals (118 eyes) who underwent corneal topography using the Pentacam Scheimpflug camera in our clinic. Demographic characteristics, total aberrations, HOAs, coma and spherical aberrations of all participants were extracted and recorded. Results: Mean age in the KC group was 29.7±10.3 years and 32.1±12.4 years in the control group. These two groups were compatible in terms of age and sex (p=0.11; p=0.76, respectively,). Sixty-three eyes had mild, 23 had moderate, and 14 had sever KC. Differences in low-order astigmatism, trefoil, coma, tetra-foil, high-order astigmatism, high-order spherical aberration, and root mean square values between eyes with KC and healthy eyes were statistically significant (p<0.05). Additionally, there were statistically significant differences in the corneal aberrations between the keratometric classification groups. Conclusions: There is direct proportionality between the KC stage and corneal HOA changes, which may be helpful for staging and improving the safety of refractive surgery.
Housing and fertility: a macro-level, multi-country investigation, 1993-2017

Abstract Postponement of first birth has implications for the health and well-being of women and is often associated with lower fertility levels, a demographic reality affecting most high-income countries. Country-level institutional differences are one factor behind the variation in fertility in these countries. This paper examines the relationship between housing and mean age at first birth across 39 low-fertility countries. Using newly compiled indicators of multiple dimensions of the housing context we explore housing from the perspective of renters and homebuyers and examine differences for former-communist and non-former-communist countries. We use six indicators of the housing context and combine them into three different indexes: renter support index, homebuyer support index, and a combined index of both dimensions. Analyses show that access to housing is associated with age at first birth, but that this relationship has changed over time and is different for former-communist and non-former-communist countries. Findings support theories that expectations regarding the importance of homeownership for family formation are changing.
Efficient surface modification of MWCNTs with vitamin B 1 and production of poly(ester-imide)/MWCNTs nanocomposites containing L-phenylalanine moiety: Thermal and microscopic study

A simple and efficient method was presented for chemical functionalization of multi-walled carbon nanotubes (MWCNTs) with vitamin B1. Poly(ester-imide) (PEI) based nanocomposites were prepared by the incorporation of differ- ent amounts of modified MWCNTs (5, 10, 15 wt%) into a chiral and biodegradable PEI by solution blending and ultrasonic dispersion methods. The chiral PEI was produced by a step-growth polymerization of chiral diacid with 4,4! -thiobis(2-tert- butyl-5-methylphenol). Spectroscopic and microscopic techniques were used to examine the chemical structure, morphol- ogy and thermal stability of the functionalized MWCNTs and the obtained nanocomposites. The microstructure study revealed the homogeneous dispersion of modified MWCNTs throughout the PEI matrix. Thermogravimetric analysis results confirmed that the heat stability of the prepared composites was improved compared to the pure PEI.
Directed Community Detection With Network Embedding

Abstract Community detection in network data aims at grouping similar nodes sharing certain characteristics together. Most existing methods focus on detecting communities in undirected networks, where similarity between nodes is measured by their node features and whether they are connected. In this article, we propose a novel method to conduct network embedding and community detection simultaneously in a directed network. The network embedding model introduces two sets of vectors to represent the out- and in-nodes separately, and thus allows the same nodes belong to different out- and in-communities. The community detection formulation equips the negative log-likelihood with a novel regularization term to encourage community structure among the nodes representations, and thus achieves better performance by jointly estimating the nodes embeddings and their community structures. To tackle the resultant optimization task, an efficient alternative updating scheme is developed. More importantly, the asymptotic properties of the proposed method are established in terms of both network embedding and community detection, which are also supported by numerical experiments on some simulated and real examples.
Qedesh in the Galilee: The Emergence of an Early Bronze Age Levantine Megasite

ABSTRACT The Early Bronze Age (ca. 3700–2500 b.c.) was an era of wide-ranging changes in the Southern and Central Levant, commonly interpreted in the context of the advent of urban structures in this region. Key elements in regional narratives of urbanization are large fortified sites viewed as regional centers, whose local history is often perceived as a paradigmatic expression of the entire process. Here we present the first stage of research at the site of Qedesh in the Galilee (Israel), that emerged as a large Levantine hub at the turn of the 4th millennium b.c. The study is based on systematic high-resolution surface survey followed by density analysis, probing, and small-scale excavations. Our research suggests that Qedesh was a hitherto unknown key player in the interregional trajectory of social complexification by virtue of its size (min. 50 ha), composite inner structure, and ecotonal location that enhanced connectivity within an economic network associated with the production and distribution of South Levantine Metallic Ware.
Quality Control of Colostrum and Protein Calf Milk Replacers

Introduction. Improving technologies and providing young farm animals with high-quality feed are the primary tasks for successful reproduction and maintenance of dairy cattle. The research objective was to assess the quality characteristics of colostrum and milk replacers, as well as their technological prospects. Study objects and methods. The research featured colostrum, calf milk replacers (CMR), processing methods, and quality characteristics. The paper introduces an analysis of various sustainable processes of obtaining new CMRs. Results and discussion. The article describes colostrum: recommended intake for young calves, qualitative characteristics, and control methods. It focuses mostly on the microbiological characteristics of colostrum, as well as on its role in developing the immune system of calves and the prospects of enzymatic regulation of its functional properties. Enzymatic regulation is based on deep proteins hydrolysates and a highly active serine protease (alcalase). The authors studied variants of using various enzyme preparations and bacterial starter cultures for obtaining hydrolyzed and fermented colostrum, analyzed the main process indicators of milk replacers with intermediate moisture content, and tested various methods for assessing the fatty acid and protein composition of concentrated milk replacers. Production methods proved to have a significant impact on the indicators in question. Conclusion. Reproduction of the dairy herd genetic potential depends on the diet of the young farm animals, and so does the economy of agricultural production. Enzymatic processing of raw materials proved to be the most promising approach for obtaining products with improved functional properties. Deep colostrum hydrolysates can also be an important part of functional foods for children, athletes, in dietary foods, etc.
A Hybrid Sentiment Analysis Method of Transformer and Capsule Network for Hotel Reviews

As a significant branch of natural language processing, deep learning-based sentiment analysis has dominated in text sentiment analysis instead of lexicon graph and machine learning methods. To further improve the quality of sentiment analysis, we propose a hybrid sentiment analysis method of transformer and capsule network for hotel reviews. The proposed approach takes advantages of both self-attention mechanism in transformer and detailed representation in capsule network to capture bidirectional semantic features well. Compared with the traditional RNN, CNN and pure transformer, the hybrid sentiment analysis method of transformer and capsule network performs 13.83%, 8.97%, and 8.02% higher accuracy for an open-source dataset of hotel reviews respectively. The comprehensive experiments results demonstrate that our proposed method achieves higher quality of sentiment analysis than latest methods.
Impact of violent television serial on aggression among adolescents: psychosocial study

Television is one of the most effective electronic media used to promote all types of programmed. Unsupervised television serials watching in children can lead to early exposure to things they may not understand or may misinterpret. Television serials may influence the children to resort to improper measures. Mostly, presented serials, advertisements and film stories deeply impact young minds, thus influencing the thoughts and behavior of children. Many people are more time watching television serials, especially children and youngsters, start identifying with what is shown on television. They relate to television shows and serials to such an extent that they get bored of living a normal and simple life. They crave for fame and riches; they yearn for living the lives of their favorite TV characters. This may lead to dissatisfaction ABSTRACT
Remote sensing target tracking in satellite videos based on a variable-angle-adaptive Siamese network

Funding information National Natural Science Foundation of China, Grant/Award Number: 61971006; Natural Science Foundation of Beijing Municipal, Grant/Award Number: 4192021 Abstract Remote sensing target tracking in satellite videos plays a key role in various fields. However, due to the complex backgrounds of satellite video sequences and many rotation changes of highly dynamic targets, typical target tracking methods for natural scenes cannot be used directly for such tasks, and their robustness and accuracy are difficult to guarantee. To address these problems, an algorithm is proposed for remote sensing target tracking in satellite videos based on a variable-angle-adaptive Siamese network (VAASN). Specifically, the method is based on the fully convolutional Siamese network (Siamese-FC). First, for the feature extraction stage, to reduce the impact of complex backgrounds, we present a new multifrequency feature representation method and introduce the octave convolution (OctConv) into the AlexNet architecture to adapt to the new feature representation. Then, for the tracking stage, to adapt to changes in target rotation, a variable-angle-adaptive module that uses a fast text detector with a single deep neural network (TextBoxes++) is introduced to extract angle information from the template frame and detection frames and performs angle consistency update operations on the detection frames. Finally, qualitative and quantitative experiments using satellite datasets show that the proposed method can improve tracking accuracy while achieving high efficiency.
The unknown knowns: a graph-based approach for temporal COVID-19 literature mining

PurposeThe COVID-19 pandemic has sparked a remarkable volume of research literature, and scientists are increasingly in need of intelligent tools to cut through the noise and uncover relevant research directions. As a response, the authors propose a novel framework. In this framework, the authors develop a novel weighted semantic graph model to compress the research studies efficiently. Also, the authors present two analyses on this graph to propose alternative ways to uncover additional aspects of COVID-19 research.Design/methodology/approachThe authors construct the semantic graph using state-of-the-art natural language processing (NLP) techniques on COVID-19 publication texts (>100,000 texts). Next, the authors conduct an evolutionary analysis to capture the changes in COVID-19 research across time. Finally, the authors apply a link prediction study to detect novel COVID-19 research directions that are so far undiscovered.FindingsFindings reveal the success of the semantic graph in capturing scientific knowledge and its evolution. Meanwhile, the prediction experiments provide 79% accuracy on returning intelligible links, showing the reliability of the methods for predicting novel connections that could help scientists discover potential new directions.Originality/valueTo the authors’ knowledge, this is the first study to propose a holistic framework that includes encoding the scientific knowledge in a semantic graph, demonstrates an evolutionary examination of past and ongoing research and offers scientists with tools to generate new hypotheses and research directions through predictive modeling and deep machine learning techniques.