Miracle-dz/UniFAR-FTUs huggingface dataset:
Obvious Belief Elicitation

Abstract An investigator is interested in arbitrarily approximating a subject's latent beliefs in obviously dominant strategies ( Li, 2017 ). We prove that Karni's ascending mechanism ( Karni, 2009 ) does not have an obviously dominant strategy. Thus, we introduce the novel descending Karni mechanism which always has obviously dominant strategies. Furthermore, under the assumption that the subject chooses an obviously dominant strategy, the true beliefs can be approximated with arbitrary precision with our mechanism. All our results hold for a very broad class of likelihood relations, going well beyond those that are represented by probabilistic beliefs.
Conditional Conservatism and Reactions of Equity Investors on Management Earnings Forecasts of Firms in Thailand

Manuscript type: Research paperResearch aims: This research tests the contracting efficiency ofconservatism by investigating the relationship between conditionalconservatism and the reactions of equity investors on managementearnings forecast disclosures.Design / Methodology / Approach: The tests were conducted onfirms listed in Thailand. Conditional conservatism was measuredby using Khan and Watts’ (2009) model. The cumulative marketadjustedabnormal returns approach was used to measure marketreactions to management earnings forecast disclosures.Research findings: Findings show that conditional conservatismis positively associated with cumulative excess returns aroundearnings forecasts release dates. This suggests that conditionalconservatism mitigates information asymmetry by committingmanagers into disclosing credible earnings forecast information.This leads to positive reactions by equity investors. Theoretical contributions / Originality: This paper fulfills anidentified need in studying how conservatism enhances the valueof voluntary disclosure information and how it influences marketreactions to management earnings forecast disclosures.Practitioner / Policy implications: This paper includes implicationsfor the development of disclosure rules for Thai firms and forthe improvement of the prudence approach in the conceptualaccounting framework.Keywords: Conditional Conservatism, Management EarningsForecast Disclosure, Shareholder Value, Stock Market ReactionJEL Classification: G14, G17, M41
Hypocenter distribution and heterogeneous seismic velocity structure in and around the focal area of the 2008 Iwate-Miyagi Nairiku Earthquake, NE Japan—Possible seismological evidence for a fluid driven compressional inversion earthquake

We have done seismic tomography in and around the focal area of the 2008 Iwate-Miyagi Nairiku Earthquake (M 7.2) occurred on June 14, 2008 in NE Japan. We used data from temporary aftershock observation network deployed just after the occurrence of the present earthquake. Based on the distribution of aftershocks, the fault plane of the mainshock is inferred to dip to the west. Small immediate foreshocks and preceding seismic activity in 1999–2000 on the fault plane in the vicinity of the hypocenter of the mainshock of this earthquake were observed. Lower-seismic-velocity hanging wall can be imaged in the central and the northern part of the focal area. This possibly suggests the present earthquake is a compressional inversion earthquake. The low-velocity zone in the lower crust extends upward to the upper crust, branches into three portions and reaches each active volcano. This low-velocity region can be seen just beneath the mainshock hypocenter and the whole focal area, suggesting that crustal fluid possibly promote the occurrence of the 2008 earthquake.
Research on indicators selection model based on IRT

This paper proposed an indicators selection model that can be used when evaluator wants to ensure objective measurement and utilizes multivariate analysis invalidate but does not have enough data to support knowledge mining. The selection model is constructed based on the IRT theory. The Rasch model has been used to estimated ability characteristics of evaluators, combined with The three-parameter logic model to select indicators, unsuitable evaluators and indicators with ineffective evaluation factors were screened, the rest of indicators are closely related to evaluation object.
Photometric-based recovery of illuminant-free color images using a red-green-blue digital camera

Abstract. Albedo estimation has traditionally been used to make computational simulations of real objects under different conditions, but as yet no device is capable of measuring albedo directly. The aim of this work is to introduce a photometric-based color imaging framework that can estimate albedo and can reproduce the appearance both indoors and outdoors of images under different lights and illumination geometry. Using a calibration sample set composed of chips made of the same material but different colors and textures, we compare two photometric-stereo techniques, one of them avoiding the effect of shadows and highlights in the image and the other ignoring this constraint. We combined a photometric-stereo technique and a color-estimation algorithm that directly relates the camera sensor outputs with the albedo values. The proposed method can produce illuminant-free images with good color accuracy when a three-channel red-green-blue (RGB) digital camera is used, even outdoors under solar illumination.
Instrument Data Simulations for GRACE Follow-on: Observation and Noise Models

Abstract. The Gravity Recovery and Climate Experiment (GRACE) mission has yielded data on the Earth's gravity field to monitor temporal changes for more than 15 years. The GRACE twin satellites use microwave ranging with micrometre precision to measure the distance variations between two satellites caused by the Earth's global gravitational field. GRACE Follow-on (GRACE-FO) will be the first satellite mission to use inter-satellite laser interferometry in space. The laser ranging instrument (LRI) will provide two additional measurements compared to the GRACE mission: interferometric inter-satellite ranging with nanometre precision and inter-satellite pointing information. We have designed a set of simulated GRACE-FO data, which include LRI measurements, apart from all other GRACE instrument data needed for the Earth's gravity field recovery. The simulated data files are publicly available via https://doi.org/10.22027/AMDC2 and can be used to derive gravity field solutions like from GRACE data. This paper describes the scientific basis and technical approaches used to simulate the GRACE-FO instrument data.
Deconstructing the shopping experience of tourists to the Dubai Shopping Festival

Abstract Shopping Festivals are being promoted as tourism products, thus attracting large number of tourists. Recent years have seen the growth of shopping festivals and shopping gaining greater significance in tourism, given its contribution to the retail and tourism sectors of a destination. This empirical study discusses the shopping experience of international tourists visiting the Dubai Shopping Festival (DSF). Data was collected from 603 international, English speaking tourists, using the mall intercept technique, during the XVIII edition of the DSF from January to February 2013. Exploratory factor analysis was employed to delineate seven factors which suggest that tourists do not shop independent of the shopping environment. Shopping experience involves much more than the acquisition of goods. Store Attribute, Mall Atmospherics, Safety, Mall Amenities, Product Attribute and Staff Service positively influence tourists’ shopping experience. The findings of this study will help the stakeholders in designing specific products and shopping environments.
Relationship between nitrogen and soil properties: using multiple linear regressions and structural equation modeling

The aim of this work is; Firstable, to obtain an expression using multiple linear regressions to evaluate relationships between nitrogen and soil properties (organic matter OM, C to N ratio, clay, pH). Secondly, we perform a path analysis using structural equations modeling, in order to investigate simultaneously the interactions between the different components of the soil properties and their relationships with nitrogen. Using 2 groups of soils from Tunisia (Luvisols and Cambisols), we carried out multiple linear regressions integrating different soil physical and chemical properties and we searched those regressions with nitrogen. Results show that Luvisols and Cambisols presented different relationships among their properties. Thus, we searched equations for both groups of soils; (1) Luvisols: N=0.047 + 0.032OM + 0.001Clay +e, and (2) Cambisols: N=0.007 + 0.021OM + 0.005Clay +e. Using AMOS, the structural equations modeling allows, to test in a simultaneous analysis the entire system of variables, in order to determine the extent to which it is consistent with the data.
D FACIAL EXPRESSION RECOGNITION BASED ON KINECT

In order to endow robot with the ability of affective computing which is similar to person, we propose an approach that uses noisy depth data produced by the low resolution sensor for robust 3D facial expression recognition. In this paper, we introduce random forest (RF) to construct Kinect-based 3D facial expression recognition model for various facial expressions. We utilize RGB-D database and KinectFaceDB database which are captured by Kinect sensor in the experiment. RGB-D database acquired from 31 test participants in 17 different face poses and 5 different facial expressions three times. KinectFaceDB database acquired data onto 52 test participants in 6 different face poses and 3 different facial expressions twice. We extract facial expression feature vector combining facial feature points (FFPs) feature vector with action units (AUs) feature vector through Face Tracking SDK. Then RF model is trained with feature vectors extracted from two databases respectively. At last, the average recognition accuracies in two databases are 82.52% and 87.63% respectively.
A comparative analysis of the anthropometric method and bioelectrical impedance analysis on changes in body composition of female volleyball players during the 2010/2011 season

Purpose. The aim of this study was to observe the changes in body composition by using two measurement methods – anthropometric analysis and bioelectrical impedance analysis (BIA) – on a group female volleyball players and to compare the results of both methods. Methods. Eleven female volleyball players participated in this study during the 2010/2011 season. Measurements of body composition were performed with an electronic body composition analyzer (BIA method) adjusted for sTANDARD physical activity levels and then using the anthropometric method as per Piechaczek’s formula. Total lean body mass (LBM), total body fat content (FAT) and body water content were measured. Measurements were taken before preseason training (Measurement 0), one week before the end of preseason training (Measurement 1), after the first (Measurement 2) and the second (Measurement 3) half of the competitive season and four weeks after the seasons’ playoffs during the offseason (Measurement 4). Additionally, during Measurement 4, body composition measured by the BIA method was adjusted for ATHLETIc physical activity levels. Results. Body mass, lean body mass and body water content did not change throughout the analyzed period. Body fat mass, as determined by BIAsTANDARD, increased from 20.7 ± 5.3 kg (Measurement 0) to 22.2 ± 5.0 kg (Measurement 1) but subsequently decreased to 21.2 ± 5.7 kg (Measurement 2) and remained at this level until the end of the competitive season. In the case of body fat as measured by the anthropometric method, a significant increase in fat was observed from 18.4 ± 3.0 kg to 19.3 ± 3.4 kg and then from 19.5 ± 3.5 kg to 19.8 ± 3.6 kg. Analysis of LBM and FAT values found significant differences between the values obtained using the BIA method at the ATHLETIc physical activity level and the results registered at the sTANDARD level and those recorded by use of the anthropometric method. Conclusions. The results obtained using the BIA method set at the sTANDARD mode of physical activity and those by the anthropometric method did not significantly differ. significant correlation between the values obtained by the BIA method and anthropometric method was found.
Do Job Destruction Shocks Matter in the Theory of Unemployment

Because the data show that market tightness is not orthogonal to unemployment, this paper identifies the many empirical difficulties caused by adopting the free entry of vacancies assumption in the Diamond-Mortensen-Pissarides (DMP) framework. Relaxing the free entry assumption and using Simulated Method of Moments (SMM) finds the vacancy creation process is less than infinitely elastic. Because a recession-leading job separation shock then causes vacancies to fall as unemployment increases, the ad hoc restriction to zero job separation shocks (to generate Beveridge curve dynamics) becomes redundant. In contrast to standard arguments, the calibrated model finds the job separation process drives unemployment volatility over the cycle. (JEL E24, E32, J24, J63, J64)
Performance evaluation of tcp spurious timeout detection methods under delay spike and packet loss emulating lte handover

This paper describes the performance evaluation of the well-known spurious timeout detection methods implemented within TCP, Eifel, DSACK, and F-RTO, through experiments with the network emulator emulating handovers over LTE (Long Term Evolution) networks. Specifically, the emulator supports to insert the time-variant delay and packet loss in TCP streams. By taking account of the lossless handover in LTE, this paper shows the results for the cases only the delay spike is inserted, and both delay spike and packet loss are inserted. In the former case, the three methods show the similar performance, but in the latter case, the performance of Eifel is worse than the others. This paper also shows the results when two methods are used together for the delay spike and packet loss case, and indicates that the performance is not improved even if multiple spurious timeout detection methods are implemented.
Development of a Sheep Hind-Limb Muscle Preparation for Metabolic Studies

A sheep hind-limb preparation used for the study of muscle metabolism by arteriovenous (A V) difference procedures was validated by identifying the muscles which contribute to venous drainage at different positions along the lateral saphenous vein. Dissection of the hind limbs of six mature sheep (three wethers and three ewes) showed that venous blood from the plantar group (M. gastrocnemius, M. soleus, M. plantaris, M. flexo digitorum profundus), and from M. semitendinosus, M. biceps femoris, M. gracilis, M. pectineus and M. adductor muscles entered the lateral saphenous vein but the position of the tip of the blood sampling catheter was found to be critical. In order to sample venous blood from all of the muscles listed above, and to minimize the contribution of blood from non-muscular tissues, blood samples must be taken 25-26 cm from the junction of the cranial and caudal branches of the lateral saphenous vein (for average size sheep of body length about 108 cm and height at withers about 73 cm). The estimation of sheep hind-limb muscle mass is a necessary concomitant of A V difference studies, and a combined tritiated water and dye-dilution procedure has been used to measure both muscle mass and blood flow. The muscle mass estimated in vivo by this technique was closely similar to the true muscle mass obtained by dissection, the range of values of the difference between true and calculated muscle mass expressed as percentage of the true mass being 0·5-16%. It is concluded that these techniques are sufficiently accurate for use in the quantitation of exchange of metabolites across the hind-limb muscle preparation. Patterns of amino acid uptake and release by muscle need to be related to the amino acid profile of the tissue, and the amino acid content of a representative muscle, M. biceps femoris, was determined, and the results compared with published data.
HITPREDICT : PREDICTING HIT SONGS USING SPOTIFY DATA STANFORD COMPUTER SCIENCE 229 : MACHINE LEARNING

In the current study, we approached the Hit Song Science problem, aiming to predict which songs will become Billboard Hot 100 hits. We collated a dataset of approximately 4,000 hit and non-hit songs and extracted each songs audio features from the Spotify Web API. We were able to predict the Billboard success of a song with approximately 75% accuracy on the validation set, using five machine-learning algorithms. The most successful algorithms were Logistic Regression and a Neural Network with one hidden layer.
Diagnosing Respiration in a 1-D Tube Model Representing a Vertically Isolated Isopycnal

We use a simple 1-D model representing an isolated density surface in the ocean and 3-D global ocean biogeochemical models to evaluate the concept of computing the subsurface oceanic oxygen utilization rate (OUR) from the changes of apparent oxygen utilization (AOU) and water age. The distribution of AOU in the ocean is not only the imprint of respiration in the ocean’s interior but is strongly influenced by transport processes and eventually loss at the ocean surface. Since AOU and water age are subject to advection and diffusive mixing, it is only when they are affected both in the same way that OUR represents the correct rate of oxygen consumption. This is the case only when advection prevails or with uniform respiration rates, when the proportions of AOU and age are not changed by transport. In experiments with the 1-D tube model, OUR underestimates respiration when maximum respiration rates occur near the outcrops of isopycnals and overestimates whenmaxima occur far from the outcrops. Given the distribution of respiration in the ocean, i.e., elevated rates near high-latitude outcrops of isopycnals and low rates below the oligotrophic gyres, underestimates are the rule. Integrating these effects globally in three coupled ocean biogeochemical and circulation models, we find that AOU-over-age based calculations underestimate true model respiration by a factor of 3. Most of this difference is observed in the upper 1000mof the oceanwith the discrepancies increasing toward the surface where OUR underestimates respiration by as much as factor of 4.
Identification of a Differentiation Factor of Indonesian Ongole Cattle Breeds Based on Microsatellite Markers and Mitochondrial DNA

This study was conducted to identify the differentiation factor of Indonesian Ongole cattle breeds (Sumba Ongole and Ongole Grade) based on the 12 microsatellite markers and Cyt b gene polymorphism. A total of 50 blood samples (25 samples for each cattle breed) were used in this study. The multiplex DNA fragment analysis was conducted for allele identification based on the microsatellite markers. The haplotype identification (based on the mitochondrial DNA) was conducted using restriction fragment length polymorphism (RFLP) analysis with three restriction enzymes i.e. HinfI, HaeIII, and XbaI. Twelve microsatellite loci in this study revealed high polymorphism. A total of 82 alleles were detected in the SO cattle and 117 alleles were detected in the PO cattle. The TGLA227 and ETH225 were specific locus candidates which are different in the size and the number of alleles in the SO and PO cattle breeds. The B (HinfI), D (HaeIII), and Y (XbaI) haplotypes were found only in the PO cattle breed samples. The X haplotype was found in all samples of the SO cattle breed but was not found in all samples of the PO cattle breed. The Y haplotype was found in all samples of the PO cattle breed but was not found in all samples of the SO cattle breed. It can be concluded that the TGLA227 and ETH225 (based on microsatellite markers) and the B, D, X, and Y haplotypes (based on the mitochondrial DNA) can be considered as the differentiation factors between the SO and PO cattle breeds.
Genetic Diversity and Structure through Three Cycles of a Eucalyptus urophylla S.T.Blake Breeding Program

Eucalyptus urophylla S.T. Blake is an important commercial tropical plantation species worldwide. In China, a breeding program for this species has progressed through three cycles but genetic diversity and structure in the breeding populations are uncertain. A sampling of field trials from these populations was carried out to evaluate their genetic diversity and structure using 16 microsatellite loci. Significant deviations from Hardy-Weinberg equilibrium were recorded at all 16 loci in the populations. Overall expected and observed heterozygosity (He and Ho) estimates of 0.87 and 0.59 respectively for the first cycle population, and 0.88 and 0.60 respectively for the third cycle population, revealed reasonably high levels of genetic diversity. The genetic differentiation coefficient (Fst) revealed low differentiation among pairs of provenances (from the species’ native range) comprising the first cycle population (range: 0.012–0.108), and AMOVA results showed that the majority of molecular genetic variation existed among individuals rather than among provenances for the first cycle population and among individuals rather than among field trial sources in the third cycle population. Levels of genetic diversity appeared to remain unchanged from the first to third cycle populations, and the results indicate prospects for maintaining if not increasing diversity through recurrent breeding. Likely effects of artificial directional selection, prior to sampling, on both populations examined are discussed along with implications for future E. urophylla breeding.
Enhancement of Hydrocarbons Degradation by Use of PseudomonasBiosurfactants and Biofilms

Biofilm-mediated bioremediation presents a proficient alternative to bioremediation with planktonic microorganisms and are generally associated with microbial hydrocarbons resistance or tolerance. Here we report on the ability of three species of Pseudomonas biofilm-associated cells (P. fluorescens, P. putida and P. aeruginosa) to degrade gasoline (hydrocarbon mixtures), xylene and benzene (monoaromatic compounds) and cyclohexane (cyclic compounds). Changes in biofilm formation and siderophores production were monitored in the presence of different concentrations of benzene and xylene. All strains were able to synthesize biosurfactant compounds and were able to tolerate aromatic hydrocarbon more than the cyclic compounds. Our results indicated that hydrocarbon mixture or gasoline could be better biodegraded by bacterial consortia; P. aeruginosa exhibited the best tolerance to gasoline but not to benzene and cyclohexane. It is interesting to point out that P. fluorescens was able to use xylene and benzene even though P. putida was incapable to grow on benzene as a carbon source. Statistically no significant positive correlation (r = 0.94; p > 0.01) between biofilm formation and surface tension, whereas with E24 and cells hydrophobicity we signaled a linear negative relationship (r = - 93, r = - 086). This study is essential since Pseudomonas biofilms are found to have implication in bioremediation of hydrocarbons.
Review on Dielectric Resonator Filter

This article describes some types of Dielectric Resonator Filter Design and the procedure which can be applied to design the filters. Section I describes the Transversal Dielectric Resonator Filter Design, Section II describes the Ferrite Tuned Dual-Mode Dielectric Resonator Filter, Section III describes the Dielectric Resonator Filters Fabricated from High-K Ceramic Substrates, Section IV describes the Dual-Mode Half-Cut Dielectric Resonator Filters.