Miracle-dz/UniFAR-FTUs huggingface dataset:
NUMERICAL MODELING OF CO2 INJECTION TEST AT NAGAOKA TEST SITE IN NIGATA, JAPAN

The Research Institute of Innovative Technology for the Earth (RITE) is responsible for the five-year project, "Research and Development of Geological Sequestration Technology for Carbon Dioxide" (RITE,2005, Xue et.al.,2005). The project aims to establish a technology that provides stable, safe and long-term geological sequestration of carbon dioxide emitted from large-scale sources in Japan. In this project a CO2 injection test was carried out at Nagaoka in the Niigata prefecture (Figure 1). An injection well and three monitoring wells were drilled at test site and super-critical CO2 injected into a saline sandstone aquifer at a depth of approximately 1100 meters and a rate of approximately 20 - 40 tones/day. The injection test started in July 2003 and continued until November 2004. Monitoring was begun before injection using the monitor wells and is still continuing. The main purposes of the Nagaoka experiment are to: ・ study the actual behavior of CO2 in an aquifer, ・ test simulation methods by comparing model results with measured data and ・ gain a general understanding of the behavior of sub-surface CO2. The work described in this paper addresses the progress of the second part of these namely, "test simulation methods by comparing model results with measured data". To this end, we have developed one and three-dimensional models of the reservoir and carried out a number of simulations. We have used iTOUGH2 (Finsterle, 1999) and ECO2 (Pruess,2005) to determine a number of key reservoir parameters, in particular permeability and residual gas saturation, and ChemTOUGH2 (White, 1995) to investigate likely long-term chemical changes in the reservoir. As part of the experiment several cross-hole tomography runs were performed. These provide the location of the gas bubble on a plane between two monitor wells. This was found to be in good agreement with the results of the three dimensional simulation of the experiment. Interestingly, the iTOUGH2 calculation of residual gas saturation found the optimum value was zero although some authors have suggested that a value as high as 0.3 is appropriate. This is an important parameter in determining the long-term fate of sequestered CO2 and we believe this is an important finding.
The clear‐sky downwelling long‐wave radiation at the surface in current and future climates

Downwelling long‐wave radiation is a crucial component of the energy balance of the land and ocean surface. Here we develop a semi‐analytic model for the downwelling long‐wave dependent on five governing parameters: the near‐surface air temperature, the near‐surface specific humidity, the surface air pressure, the e‐folding height‐scale of water vapour, and the CO 2 concentration. The model predicts the hourly clear‐sky long‐wave in the ERA5 reanalysis product with a global mean error of 8.2 W · m −2 , and on average captures 97% of the temporal variation at individual locations. We show that the model may be used to calculate clear‐sky downwelling long‐wave from only surface observations of temperature and humidity by using the time‐mean water vapour height‐scale from the ERA5, interpolated to the location of the observation. Using this method replicates sub‐hourly observations from individual sites having a range of climates with errors of 12–25 W · m −2 . Furthermore, the inclusion of CO 2 allows the model to be used to study changes in downwelling long‐wave at the surface as CO 2 concentrations vary. We validate the model's representation of CO 2 by comparison with five CMIP5 climate models. Our model thus provides a simple yet accurate framework to understand the key parameters controlling downwelling long‐wave and its variability in the current and future climates.
Formation control for unmanned aerial vehicle swarm with disturbances: A mission‐driven control scheme

Different formation controllers are to deal with different missions for unmanned aerial vehicle (UAV) swarm. The mission‐driven control scheme of the UAV swarm is necessary and worth exploring, leading to the main work of this article. Aiming at different requirements of UAV swarm, we proposed a mission‐driven control scheme, including a consensus‐based near‐optimal formation controller and a finite‐time precise formation controller. This control scheme can enable the swarm to reach its target position while maintaining consensus formation on the way. When the UAV swarm flies to the mission area, a consensus‐based near‐optimal formation controller based on adaptive neural networks is investigated to regulate the UAV states online. The controller drives the swarm from an arbitrary initial position and velocity to the desired target in an optimal manner while maintaining an expected formation with finite‐time consensus at the same time. When the UAV swarm approaches the mission area, a consensus‐based precise formation controller based on a fixed‐time disturbance observer (FDO) is designed to achieve an accurate and consensus formation within a limited time. The mission‐driven control scheme can better adapt to tasks and promote control optimization, formation precision, and system robustness. Finally, the efficiency of the proposed methodology is illustrated by numerical simulation.
Predicting Online Consumer Transaction from Big Data: Influential Factors and Strategic Planning

Online transaction has recently benefited from coronavirus; however, the sales of e-commerce in some areas are substantially on the decline. The current study proposes a theoretically constructed and empirically viable way for predicting the relevant factors that may detract or foster e-commerce success. We apply web analytics (one of the big data techniques) to simultaneously, generalizably, and objectively measure the influential factors of e-commerce success. The findings indicate that (1) pageviews is an important key for consumers to make transactions. (2) Bounce rate of the website should not be a member factor of e-commerce success. (3) Adhesion strategy and repeatability strategy can be used to induce consumer online transaction. Several theoretical contributions and practical implications are also provided.
A systematic approach to literature analysis: traveling through stories

Travel literature has captured humanity’s imagination ever since the emergence of famous works such as The Wonders of The World by Marco Polo and The Journal of Christopher Columbus. Authors in this genre must process large and diverse volumes of data (visual, sensory, and written) obtained on their trips, before synthesizing it humanly in such a way as to move and communicate personally with the reader, without losing the factual nature of the story. This is the ultimate goal of the natural language processing (NLP) field: to process and generate human–machine interaction as naturally as possible. Hence, this article’s purpose is to analyze and describe a nonfictional literary text, which is a type of documentary text that contains objective, qualitative, and quantitative information based on evidence. In this analysis, traditional methods will not be used. Instead, it will leverage NLP techniques to process and extract relevant information from the text. This literary analysis is a new kind of approach that encourages further discussions about the methodologies currently used. The proposed methodology enables exploratory analysis of both individual and unstructured corpus databases while also allowing geospatial data to complement the textual analysis by connecting the people in the text with real places.
Broadband and compact multi-pole microstrip bandpass filters using ground plane aperture technique

A ground plane aperture technique is developed for effective enhancement of the capacitive coupling factor in a parallel-coupled microstrip line (PCML). By applying a so-called 'short-open calibration' (SOC) scheme in the fullwave method of moments (MoM) algorithm, this PCML with two external lines is characterised by an equivalent J-inverter network with its susceptance and two electrical line lengths. Extracted parameters indicate that the coupling factor appears to be frequency-dependent and its maximum value rises rapidly as the aperture is widened. With the introduction of a single microstrip line section between two identical PCMLs, a broadband and compact multi-pole microstrip bandpass filter is proposed for the first time, and its electrical behaviour is studied and optimised on the basis of its equivalent circuit network. The network-based optimised results are confirmed by an EM simulation of the entire filter layout, featuring ultra-broadband and four-pole bandpass behaviour. Further, a single capacitively loaded line section is utilised to formulate a multi-pole bandpass filter, and its electrical effects are also discussed for filter design. The predicted and measured results confirm attractive properties of the proposed multi-pole filter with BW=60%. |S/sub 11/|<-16 dB and 220% wide upper stop-band.
Physical Pain and Psychosocial Predictors of Sexual Activity among Multicultural Older Women

Aims: To investigate the relationships between facets of sexual activity among ethnically diverse older women and indicators of their physical pain as well as their psychosocial wellbeing. Physical pain intensity, intimate relationships quality, non-medical psychological distress, and depressive symptomatology were examined as predictors of yearly frequency of interactional sexual activity with an intimate partner and of masturbation. Study Design: Cross-sectional. Place and Duration of Study: Department of Psychology, California State University, Northridge, between September 2017 and December 2018. Methodology: Thirty-four older women between 50 and 84 years (M = 65.85, SD = 7.75) were recruited. Participants were reasonably fluent in English, lived independently in the community, self-identified as heterosexual, and reported being in an intimate relationship at the time of data collection. A battery of self-report measures was administered by research assistants over two sessions, on average. Results: Demographics, yearly frequency of interactional sexual activity and of masturbation, physical pain intensity, dyadic adjustment, non-medical distress, and depressive symptomatology were assessed and analyzed. An intercorrelational matrix was produced and two simultaneous multiple regressions were conducted. They revealed that dyadic adjustment was a significant and positive predictor of the yearly frequency of interactional sexual activity, holding all other predictors constant (b = 1.06, P = .02). Dyadic adjustment was not a significant predictor of yearly masturbation frequency (P = .55). Physical pain and psychological predictors were not related to yearly interactional sexual activity or masturbation frequency (Ps > .05). Conclusion: Greater dyadic adjustment and associated feelings of satisfaction with an intimate relationship predict significantly higher yearly frequency of interactional sexual activity among older women. Additional research is necessary to corroborate the present findings and identify predictors of masturbation.
Software Cost Estimation on e-Learning Technique using A Classical Fuzzy Approach

Software Cost Estimation with resonating dependability, gainfulness and advancement exertion is a testing and cumbersome undertaking. This has actuated the product group to give much required push and dig into broad research in programming exertion estimation for developing complex strategies. Estimation by similarity is one of the convenient methods in programming exertion estimation field. Notwithstanding, the strategy used for the estimation of programming exertion by similarity is not ready to handle the straight out information in an express and exact way. Another approach has been produced in this paper to gauge programming exertion for ventures spoke to by absolute or numerical information utilizing thinking by similarity and fluffy methodology. The current chronicled datasets; broke down with fluffy rationale, produce exact brings about correlation to the dataset investigated with the prior systems.
The Study on Five Order Hypernormal Form of Icing Suspension Cable Model

Suspension cable structure is one of the most important structure. In this article the hypernormal form of icing suspension cable model with practical application background is investigated by using the method of New Grading Function and multi-lie bracket. First the average equations of icing suspension cable model is given, based on the equations, the method in reference [5]and maple program are used to obtain the five order hypernormal form of the icing suspension cable model.
Spread spectrum modulation scheme for two-level inverter using vector quantised space vector-based pulse density modulation

A Space Vector based Pulse Density Modulation scheme for a two level Voltage Source Inverter is proposed in this paper. The proposed scheme employs a first order Sigma Delta Modulator. The principle of Vector Quantization is used for quantizing the reference voltage Space Vector in the Sigma Delta Modulator. For the spatial quantization, the inverter voltage vector space is divided into seven Voronoi regions. In this paper, a method is proposed to code these Voronoi regions using instantaneous reference phase amplitudes without using lookup table. The proposed scheme naturally selects the switching vectors in the over-modulation condition and hence results in a smooth transition from linear to over-modulation region. In Pulse Density Modulation scheme, the switching frequency varies randomly, resulting in the spreading of harmonic spectra. The minimum pulse width that can occur in the proposed scheme is equal to the sampling time period. Therefore, the occurrence of pulse width less than the trun on time of the switching devices is avoided. The proposed scheme is implemented for a 11.5 kVA two level inverter driving 2-HP three phase induction motor. Experimental results of proposed scheme are compared with s Space Vector PWM scheme and Random Space Vector PWM scheme.
Virtual Design-Driven Framework for Electronic Design Automation systems

The new architecture of Electronic Design Automation systems on the basis of network-centric computing environment is proposed. The system is based by creating in each node a middleware network module Design-Driven Framework for each design object and for the various stages of its design. The virtual clustering of these middleware DDF modules is discussed. Streszczenie. Zaproponowano nową architekture komputerowego systemu wspomagania duzych projektow "Electronic Design Automation". System basuje na tworzeniu w kazdym z wezlow modulu "Design-Driven-Framework". (Wirtualna platforma programistyczna do komputerowego wspomagania duzch projektow)
An empirical investigation into organizational level antecedents of value co-destruction in Lisbon, Portugal: A hospitality sector case

In recent years, scholars have begun to dedicate their attention to destructive relationships as a critical component of organizational life. Prior research has approached it from various points of view, such as trust and partnering, project management, and relational coordination. The purpose of this research is to explore organizational level antecedents of value co-destruction in Lisbon, Portugal within the hospitality sector. The research was quantitative in nature, adopting the survey method. To measure the proposed hypotheses, a unique conceptual model was developed with leadership support, supportive organizational climate, value co-destruction, and commitment to value co-creation as constructs. Data was collected from the hospitality sector of Lisbon, Portugal where 600 responses were obtained for analysis. All participants were employees from the hospitality sector. Key findings revealed that leadership support was dominant in comparison to the other constructs based on how high it loaded as a factor. In addition, a high perception of a supportive organizational climate among service employees will result in a low occurrence of value co-destruction in their organization. Further research direction on the subject is proposed.
Efficient layer stopping technique for layered LDPC decoding

Early termination techniques are widely used in low-density party-check (LDPC) decoding since the decoding operations can be tremendously reduced. A layer stopping criterion is proposed to reduce further the operations within iterative layered LDPC decoding. The proposed criterion detects the high reliability of the soft log-likelihood ratio with a threshold in each layer. Then the layer operations can be stopped when the reliable layers are detected. The proposed criterion combined with early termination techniques can efficiently reduce the layer operations by up to 60% with a negligible loss of coding gain at Eb /N 0 of 3.2 dB.
Grid-Connected Photovoltaic System Based on a Cascaded H-Bridge Inverter

In this paper a single-phase Cascaded H-Bridge (CHB) inverter for photovoltaic (PV) applications is presented. Based on the presented mathematical analysis, a novel controller is introduced which adjusts the inverter power factor (PF) and manipulates the distribution of the reactive power between the cells to enhance the operating range of the CHB inverter. The adopted control strategy enables tracking of the maximum power point (MPP) of distinct PV strings and allows independent control of the dc-link voltages. The proposed controller also enables the inverter to operate under heavily unbalanced PV conditions. The performance of the CHB inverter and the proposed controllers are evaluated in the PSCAD/EMTDC environment. A seven-level CHB-based grid connected laboratory prototype is also utilized to verify the system performance.
Pronoun production and comprehension in American Sign Language: the interaction of space, grammar, and semantics

ABSTRACT Spoken language research has investigated how pronouns are influenced by grammar and semantics/pragmatics. In contrast, sign language research has focused on unambiguous pronominal reference arising from spatial co-reference. However, understanding signed pronouns contributes to cross-linguistically valid models of pronoun production and comprehension. In two sentence-continuation experiments, the present study investigated how linguistic use of space (modality-specific), antecedent grammatical role and verb implicit causality bias (modality-independent) affect American Sign Language (ASL) pronouns. Production of pronouns was determined by antecedent grammatical role, and overt pronouns were marginally more frequent for referents articulated in specific areas of signing space compared to neutral space. Signers interpreted pronouns using spatial information and, notably, verb bias, despite spatial co-reference supposedly removing the ambiguity that verb bias resolves. These findings demonstrate that ASL pronouns are subject to modality-independent factors, despite their use of space, and lend support to models of pronominal reference positing a production/comprehension asymmetry.
Asymmetry in Price Transmission: Evidence from the Wheat-Flour Supply Chain in Russia

Price volatility has serious implications for economic welfare of various agents in the grain supply chain. The paper examines asymmetric price transmission along the wheat producer-processor supply chain in Russia using log-transformed monthly prices during the period of 2000-2019. Having specified linear asymmetric vector error correction model, we exposed the long-term cumulative asymmetry in price transmission, however, the hypothesis of short-term symmetry presence failed to reject. The analysis revealed dominant position for wheat producers and wholesalers over the wheat processors. Imperfect competition and their resulting market power, as well as the existence of a huge number of illegal processors are the main causes for asymmetric price transmission on the Russian wheat market.
White paper: honeypot, honeynet: a comparative survey

Many different tools defined as honeypots, honeynets and other honeytokens have been proposed on the Internet during the last 3 years. However each solution suits well for some specific needs and can be inadequate in many other cases. In this document, we offer to help the reader having a good overview of existing tools. We present their main features and we describe some of them with more details.
Variety Identification of Chinese Walnuts Using Hyperspectral Imaging Combined with Chemometrics

Chinese walnuts have extraordinary nutritional and organoleptic qualities, and counterfeit Chinese walnut products are pervasive in the market. The aim of this study was to investigate the feasibility of hyperspectral imaging (HSI) technique to accurately identify and visualize Chinese walnut varieties. Hyperspectral images of 400 Chinese walnuts including 200 samples of Ningguo variety and 200 samples of Lin’an variety were acquired in range of 400–1000 nm. Spectra were extracted from representative regions of interest (ROIs), and principal component analysis (PCA) of spectra showed that the characteristic second principal component (PC2) was potentially effective in variety identification. The PC transformation was also conducted to hyperspectral images to make an exploratory visualization according to pixel-wise PC scores. Three different modeling methods including partial least squares-discriminant analysis (PLS-DA), k-nearest neighbor (KNN), and support vector machine (SVM) were individually employed to develop classification models. Results indicated that raw full spectra constructed PLS-DA model performed best with correct classification rates (CCRs) of 97.33%, 95.33%, and 92.00% in calibration, cross-validation, and prediction sets, respectively. Successful projects algorithm (SPA), competitive adaptive reweighted sampling (CARS), and PC loadings were individually used for effective wavelengths selection. Subsequently, simplified PLS-DA model based on wavelengths selected by CARS yielded the best 96.33%, 95.67% and 91.00% CCRs in the three sets. This optimal CARS-PLS-DA model acquired a sensitivity of 93.62%, a specificity of 88.68%, the area under the receiver operating characteristic curve (AUC) value of 0.91, and Kappa coefficient of 0.82 in prediction set. Classification maps were finally generated by classifying the varieties of each pixel in multispectral images at CARS-selected wavelengths, and the general variety was then readily discernible. These results demonstrated that features extracted from HSI had outstanding ability, and could be applied as a reliable tool for the further development of an on-line identification system for Chinese walnut variety.
Redeployment Options for the International Space Station

With the assumption that the current mission of the International Space Station (ISS) will draw to a close by 2020, redeployment options are explored and contrasted for ISS components in the post-2020 timeframe. Low Earth Orbit (LEO) redeployment options explored include a depot assembly facility and a refueling facility. Beyond LEO redeployment options explored include an assembly and refueling facility at the Earth-Moon L1 Lagrange point, a solar observing and / or energy collection facility at the Earth-Sun L1 Lagrange point, an astronomical observation facility at the Earth-Sun L2 Lagrange point, a lunar orbiting facility, and a Martian orbiting facility. The cost of boosting ISS components to new orbits is considered as part of the study of these latter options, as is any retrofit or modification of components required by these new missions. Logistics requirements are also included in the cost of each option. All architectural options are analyzed using Living Systems Theory [Miller, 1978] and the Hatley-Pirbhai context diagram template. Technical risk and maturity is analyzed, and a parametric cost model is developed. Cost benefit analyses are performed for each of the selected redeployment missions using Pugh matrix and quality functional deployment (QFD) methodologies for an overall recommendation based on the currently enunciated goals as described by the 2009 Augustine Commission on human space flight (HSF).