Miracle-dz/UniFAR-FTUs huggingface dataset:
Fast and Accurate Impedance Inversion by Well-Log Calibration

Summary Seismic impedance inversion is an inherently under-unconstrained problem that does not allow the use of rigorous joint inversion methods. In the absence of a true inverse, a unique and reliable solution can be obtained by defining a set of physical constraints that should be satisfied by the resulting images. Here, we propose a method for constructing “synthetic logs” that explicitly and accurately satisfy: 1) the convolutional equation; 2) time-depth constraints from the seismic data, 3) background low-frequency model from the logs or seismic/geological interpretation, and 4) spectral amplitudes and geostatistical information from spatially-interpolated well logs. The resulting synthetic log sections or volumes are readily interpretable in standard ways. The approach also allows direct quality control and assessment of the intermediate and final results, and the requirements to true-amplitude seismic processing are reduced. The method is applicable to multiple pre- and post-stack attributes and is illustrated on the acoustic impedance (AI) example.
Assessing intraspecific phenological synchrony in zoochorous trees from the monsoon forests of northern Australia

Intraspecific synchrony in the phenology of tropical forest trees has implications for satiation of browsers and seed predators, pollination, dispersal and interpreting plant responses to environmental cues and stresses. Community phenological studies have been constrained in their consideration of these issues by the lack of concise quantitative measures of intraspecific synchrony. We propose a novel application of Colwell's predictability indices to overcome this deficiency. Its application is demonstrated by evaluating the leaf and reproductive phenologies of 8–16 individuals of each of 20 monsoon forest tree species from northern Australia monthly for 30 mo. The indices yielded substantial additional information over that provided by summaries averaged amongst conspecifics. Marked intraspecific asynchronies in leaf flush or flowering occurred in five evergreen species and two deciduous fig species, and were associated with prolonged individual commitments to these states. Five partly deciduous species exhibited marked intraspecific variation in the seasonal extent of leaf loss. We interpret the observed variation in intraspecific synchrony in terms of contrasting water-use and pollination strategies. The synchronicity indices are concise and robust to small and variable sample sizes, and may thus enhance studies of species-rich assemblages.
When to Apply for an MBA Course: The Real Options Approach

This paper examines when employees should apply for an MBA course in the situation where the dynamic of the potential to change careers is a continuous time stochastic process. The optimal time to apply for the course is when the value of an option on the potential to change careers is optimized. The employee should apply for the course at the time when the option value first hits the boundary conditions.
Synthesis and structural-chemical studies of adduct of coordination supramolecular porous polymer hexaaquatribenzene-1,2,4,5- tetracarbonato-tetrairon(iii) with dipyridyl

An α, α′-dipyridyl adduct of a complex compound hexaaquatribenzene-1,2,4,5-tetracarbonatotetra iron (III) with porous structure was synthesized for the first time. According to the results of elemental, X-ray, IR-spectroscopic and differential-thermal analyses the individuality, chemical formula, thermal destruction, and form of coordination of acidic anion and dipyridyl were established. During interaction of a complex compound with dipyridyl, it completely loses all crystallization molecule of water resulting in a compound with a chemical formula of Fe4(C6H2(COO)4)3(dpy)2(dipyridyl). Using the identification of diffraction pattern the parameters of lattice cell of the complex compound were determined.
Performance analysis of cooperation over mobile ad hoc networks

Until recently, mobile ad hoc networks had been assumed as a collection of mobile hosts that pursue a common goal as in the military and rescue applications. In such scenarios, all the nodes are hence naturally motivated to cooperate in route discovery and forwarding packets. However, because of the tremendous growth in the use of mobile devices, the application of mobile ad hoc networks has emerged recently for the open communities. In this environment, individual nodes usually do not have a common goal, and may be advantageous not to cooperate. In this paper we address the problem of cooperation over a mobile ad hoc network for general applications. To analyze the effect of nodes' selfish behavior, a simple but practical scheme, which lets nodes be selfish, is implemented. Several simulations are performed and the effect of the selfishness of mobile hosts on the performance of the network as well as individual nodes is evaluated.
China’s Savings and Current Account Balance: A Demographic Transition Perspective

In this paper, we build an overlapping generation model to analyze how China’s family planning policy affects the demographic structure and the dependency ratios. We also employ the Cointegration Test and Granger Causality Test to examine the relationship between Chinese population dependency ratios and the national savings rate, as well as the relationship between relative productivity differences and the national current account balance. We find that the family planning policy can be sustainable with respect to these metrics. The current account balance reflects the transfer of savings over time and space. We posit that the demographic structure determines the savings transfer over time, while the relative productivity difference determines the savings transfer across the space. This transfer does not change the total welfare calculated on a national or generational basis. Consequently, focusing on improving the consumption rate to boost the economy without consideration of demographic structure transition warrants further serious discussion. Similarly, too much attention to short-term current account surplus or deficit is not productive.
Performance Identification for REITs by Using Draw Measures

We use existing drawdown measures as well as modifications and extensions to gain insight into pronounced periods of gains and losses among global real estate companies. While there is no indication on heavier loss periods for companies that had experienced higher drawups in the previous market upturn, it appears that companies which fell the most during the recent crisis experienced larger upward phases in the following period.
Unfamiliar Graphs : A Generative , Activity Theoretic Model

A dialectical model is presented that accounts for the situated nature of graph interpretation at three levels—collectively motivated activity, goal-directed actions, and unmediated operations. The contradictions inherent in the dialectical units at each level are understood as the forces that drive situated graph interpretations. Materials from graph interpretation sessions with scientists are used as exemplary data.
A magnetic survey of mineral resources in northeastern Cuba

Interpretation of the aeromagnetic survey of northeastern Cuba at scale 1 50 000 is presented. Mainly ophiolitic rocks are characterized by a high magnetic response. The aeromagnetic data was reduced to the pole and the horizontal and vertical gradients, as well as the upward continuation were calculated. To define areas of serpentinized ultrabasic rocks at surface and depth, the magnetic field transformations were interpreted. We discuss lateral extension of outcrops, thickness variation of the ophiolitic rocks, basement extension and fault zones. Hydrothermal alterations indicate associated precious metal secondary mineralization. Operations are planned to limit damage to mining by siliceous material in Fe+Ni laterites.
The Role of Mid-Ranged Universities in Knowledge Transfer in Central and Eastern Europe - Sustainable University Strategies in the Era of Post-Mass Education, UDK 378. 4: 001. 92

Introduction In many regions, universities are viewed as the core of the knowledge base, acting as key elements of innovation systems, supporting science and innovation-based regional growth (Huggins & Kitagawa 2009). The so-called regional engagement of universities has been developed through an evolutionary process during the last 50 years. Traditionally, universities primarily focused on teaching and, to some extent, research, while university education was elite education. In many European countries, due to the gradual expansion of the higher education sector, the appearance of mass education and lifelong learning, and the declining share of grants provided by the state in the 1970s and 1980s, competition between the universities has become stronger, and they have been forced to perform their research activities on a profit-oriented basis. Universities have had to seek alternative sources of funding from business, industry, civil society and non-national state actors (Harloe & Perry, 2004). Also, the public funding became increasingly competitive funding, and research activities often require public-private partnership. This is called the “entrepreneurial turn”, or the servicing mission of universities (Tjedvoll, 1997; Inman & Schuetze, 2010) or the “Mode 2 university” (Harloe & Perry, 2004). In this context, “Mode 1” refers to the traditional way of knowledge generation which is anchored in disciplines and is more homogenous and hierarchical. This is also referred to as the ivory tower model of universities. In contrast, “Mode 2” refers to the application oriented, transdisciplinary and reflexive way of knowledge generation (generative role of universities) in the context of the entrepreneurial university (Clark, 1998; Chatterton & Goddard, 2000). “Mode 2” is also characterised by heterogeneity and organizational diversity, social accountability and quality control. Later, in addition to teaching and research universities started to adapt a third mission or developmental role, which can be described as “community service” mainly by the US literature,
A Systematic Comparison of Factors Affecting the Choice of Matrix Language in Three Bilingual Communities

In this paper we compare the code-switching (CS) patterns in three bilingual corpora collected in Wales, Miami and Patagonia, Argentina. Using the Matrix Language Framework to do a clause-based analysis of a sample of data, we consider the impact of structural relationships and extra-linguistic factors on CS patterns. We find that the Matrix Language (ML) is uniform where the language pairs have contrasting word orders, as in Welsh-English (VSO-SVO) and WelshSpanish (VSO-SVO) but diverse where the word order is similar as in Spanish-English (SVO-SVO). We find that the diversity of the ML in Miami is related to the diversity of degrees of proficiency, ethnic identities, and social networks amongst members of that community, while the uniformity of the ML in Wales is related to the uniformity of these factors. This is not so clear in Patagonia, however, where there is little CS produced in conversation. We suggest that the members of the speech community use Spanish or Welsh mostly in a monolingual mode, depending on the interlocutor and the social situation.
MAPPING OF WHEEL FLANGE RUBBING ON RAIL USING AE: LABORATORY TEST

Abnormal contact stresses between wheels and rails can give rise to excessive rail wear and, in more extreme cases, to rolling contact fatigue (RCF) and gauge corner cracking (GCC). The independent investigation into the Hatfield train disaster in the UK, whose primary cause was a rail defect, highlighted the need for improved awareness of the condition of railway rails. This work is aimed, not specifically at detecting rail cracks, but at monitoring the intensity of contact between wheel and rail using acoustic emission with a view to making an in-service update of estimated remanent life. A test-rig has been built in order to simulate rail-wheel contact, providing for variations in normal contact force and rolling speed, and allowing the simulation of a range of defects in a way that would not be possible at full scale. In this paper, wheel flange rubbing on the rail (a precursor to GCC) has been simulated and monitored using acoustic emission (AE). A simple analytical model for AE arising from normal wheel contact has been used to locate parts of the track where a wheel flange is rubbing on the rail. The method works by comparing AE peaks above normal with natural defects with and without the additional defect of flange rubbing, calculating a cross-correlation function, whose peakedness is an indication of how well correlated the defects are with the AE peaks. In all cases, cross-correlations were better when rubbing was present indicating that flange rubbing can be detected even in the face of natural defects.
1 Overview of Inkjet-Based Micromanufacturing

Inkjet technology has come to prominence in the past decade as the dominant printer technology in the combined home and small office/home office (SOHO) markets, and inkjet is now familiar to the general public. Also, in the past decade, inkjet technology has become recognized in the technical community as a highly capable tool for manufacturing, particularly micromanufacturing [1]. As an introduction to the more detailed discussions in the chapters to follow, this chapter will, briefly, give a background on inkjet technology; discuss fluid requirements and pattern formation fundamentals; discuss the characteristics of microfabrication and the potential of inkjet as a tool; discuss the breadth of applications being addressed with inkjet technology, including a few specific examples; and discuss issues, challenges, and possible future applications.
Design of ACDC Grid Connected Converter using Multi-Objective Optimization

Power electronic circuits, in particular AC-DC converters are complex systems, many different parameters and objectives have to be taken into account during the design process. Implementation of Multi-Objective Optimization (MOO) seems to be attractive idea, which used as designer supporting tool gives possibility for better analysis of the designed system. This paper presents a short introduction to the MOO applied in the field of power electronics. Short introduction to the subject is given in section I. Then, optimization process and its elements are briefly described in section II. Design procedure with proposed optimization parameters and performance indices for AC-DC Grid Connected Converter (GCC) interfacing distributed systems is introduced in section III. Some preliminary optimization results, achieved on the basis of analytical and simulation study, are shown at each stage of designing process. Described optimization parameters and performance indices are part of developed global optimization method dedicated for ACDC GCC introduced in section IV. Described optimization method is under development and only short introduction and basic assumptions are presented. In section V laboratory prototype of high efficient and compact 14 kVA AC-DC converter is introduced. The converter is elaborated based on performed designing and optimization procedure with the use of silicon carbide (SiC) power semiconductors. Finally, the paper is summarized and concluded in section VI. In presented work theoretical research are conducted in parallel with laboratory prototyping e.g. all theoretical ideas are verified in laboratory using modern DSP microcontrollers and prototypes of the ACDC GCC.
THE USE OF REMOTE SENSING TECHNIQUE TO PREDICT GROSS DOMESTIC PRODUCT (GDP): AN ANALYSIS OF BUILT-UP INDEX AND GDP IN NINE MAJOR CITIES IN CANADA

Abstract. City/regional authorities are responsible to design and structure the urban morphology based on the desired land-use activities. One of the key concerns regarding urban planning is to establish certain development goals, such as Gross Domestic Product (GDP). In Canada, the gross national income mainly relies on mining and manufacturing industries. In order to facilitate new city development, this study aims to utilize remote sensing and GIS techniques to assess the relationship between the industrial area and the reported GDP in nine major cities in Canada. Free archive multi-temporal Landsat TM images and land use vector data were obtained for year 2005 and 2010 during the summer season, where the socio-economic data, such as GDP, population, and total employment are obtained from Metropolitan Housing Outlook for the same duration. The Landsat TM images were first atmospherically corrected and the built-up values were computed using the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) from the Landsat images. The high built-up values within the industrial areas were acquired for further analysis. Finally, a correlation analysis was conducted between the GDP, Population, and Total Employment with respect to the built-up areas. Preliminary findings show that the R2 between the percentage of built-up areas and industrial area within the corresponding city is 0.82. In addition, the R2 between the built-up areas and GDP ranges from 0.73 to 0.78. Consistent findings are observed in the similar correlation between the built-up areas and population, as well as the built-up areas and the employment, where the R2 is within 0.72 to 0.73. With the correlation found, we believe that results can be used as a generic indication for the federal/municipals authorities, which are aiming or target for a specific GDP with respect to the planned industrial area.
Diverse origins of high copy tandem repeats in grass genomes

13 In studying genomic architecture, highly repetitive regions have historically posed a challenge when investigating sequence variation and content. High-throughput sequencing has enabled researchers to use whole-genome shotgun sequencing to estimate the abundance of repetitive sequence, and these methodologies have been recently applied to centromeres. Here, we utilize sequence assembly and read mapping to identify and quantify the genomic abundance of different tandem repeat sequences. Previous research has posited that the highest abundance tandem repeat in eukaryotic genomes is often the centromeric repeat, and we pair our bioinformatic pipeline with fluorescent in-situ hybridization data to test this hypothesis. We find that de novo assembly and bioinformatic filters can successfully identify repeats with homology to known tandem repeats. Fluorescent in-situ hybridization, however, shows that de novo assembly fails to identify novel centromeric repeats, instead identifying other potentially important repetitive sequences. Together, our results test the applicability and limitations of using de novo repeat assembly of tandem repeats to identify novel centromeric repeats. Building on our findings of genomic composition, we also set forth a method for exploring the repetitive regions of non-model genomes whose diversity limits the applicability of established genetic resources. 14
Factors Influencing Zakat Compliance Behavior on Saving

In most of the states in Malaysia, the collection of zakat on saving is reported as third largest collection after zakat on employment income and zakat on business. However, the collection of zakat including the zakat on saving is still unsatisfactory. Previous empirical evidences reported that many factors that influence individual in paying zakat. Thus, this study aims at to determine the variables that influence the individual in paying zakat on saving i.e. the relationship between the variables of attitude, the referent group, religiosity and perceived corporate credibility with zakat compliance behavior on saving. Data was analyzed by applying multiple regression analysis. The data was collected from 80 individual Muslim employees who are working at Universiti Utara Malaysia. The results of the study indicated that all the variables significantly influence zakat compliance behavior on saving. Based on the results, it can be concluded that zakat compliance behavior on saving could be predicted by his or her attitude, the referent group, religiosity and perceived corporate credibility at 34% level. In view of the results, some implication and recommendation were also discussed.
Climate Change: Precipitation Projection for Vietnam Simulated by a Super-high-resolution Model

Climate change is generally recognized as a serious threat to the society driven from human activities. Global warming and many changes in the global climate system during the 21st century are unavoidable. To estimate and reduce risks and impacts of climate change, it is necessary to study and project how the climate will be in the future. This paper aims to present a future precipitation scenario for Vietnam by extracting and analyzing the results of the MRI-AGCM with 20 km-mesh. Under the A1B emission scenario of IPCC, super high-resolution future scenario for the Vietnam climate shows an overall pattern of precipitation with spatially and temporally varying projection. In the rainy season, an increase of precipitation by 10- 20% was projected in a large area in the Red River delta and the Mekong River Delta. The remaining area including the Central highland, the South Central coast is projected to decrease with the profound in Phu Yen, Khanh Hoa, Ninh Thuan and Binh Thuan provinces (in the South Central coast). The increase in the two mentioned biggest river deltas where floods often occurring and the decrease in the South Central coast where is considered as the driest area in Vietnam make precipitation more uneven and variable over time and space.
A multilayer approach and its application to model a local gravimetric quasi-geoid model over the North Sea: QGNSea V1.0

Abstract. A multilayer approach is set up for local gravity field recovery within the framework of multi-resolution representation, where the gravity field is parameterized as the superposition of multiple layers of Poisson wavelets located at different depths beneath the Earth's surface. The layers are designed to recover gravity signals at different scales, where the shallow and deep layers mainly capture the short- and long-wavelength signals, respectively. The depths of these layers are linked to the locations of different anomaly sources beneath the Earth's surface, which are estimated by wavelet decomposition and power spectrum analysis. For testing the performance of this approach, a gravimetric quasi-geoid model over the North Sea, QGNSea V1.0, is modeled and validated against independent control data. The results show that the multilayer approach fits the gravity data better than the traditional single-layer approach, particularly in regions with topographical variation. An Akaike information criterion (AIC) test shows that the multilayer model obtains a smaller AIC value and achieves a better balance between the goodness of fit of data and the simplicity of the model. Further, an evaluation using independent GPS/leveling data tests the ability of regional models computed from different approaches towards realistic extrapolation, which shows that the accuracies of the QGNSea V1.0 derived from the multilayer approach are better by 0.4, 0.9, and 1.1 cm in the Netherlands, Belgium, and parts of Germany, respectively, than that using the single-layer approach. Further validation with existing models shows that QGNSea V1.0 is superior with respect to performance and may be beneficial for studying ocean circulation between the North Sea and its neighboring waters.