Miracle-dz/UniFAR-FTUs huggingface dataset:
A MORE FUNDAMENTAL APPROACH TO PREDICT PORE PRESSURE FOR SOFT CLAY

Skempton’s (1954) pore pressure coefficient A provides a pragmatic attempt at determining pore pressures during undrained shear, and to use these in settlement computations and stability analysis of embankments in soft clays. Also, the Critical state concept offers a means of acquiring the undrained stress path in normally consolidated clays through using a volumetric yield locus derived from a simple energy balance equation. However, to date there is no novel method by which the undrained stress paths of lightly over-consolidated and heavily overconsolidated clays can be predicted by using fundamental concepts. Based on the work of Handali (1986), Balasubramaniam et al. (1989) presented an alternative pore pressure coefficient that was more generalised than the Skempton’s coefficient. However, Pender (1978) proposed a set of parabolas to describe the undrained stress paths of overconsolidated clays, and Lee (1995) considered elliptic paths to be more in agreement with the experimental observations. In this paper, observed and predicted undrained stress paths both under compression and extension, and also from isotropic and K0 pre-shear consolidation states will be presented. Such expressions can then be readily used in computer softwares for stability analysis and settlement computations.
Simulated-data adaptation for robust speech recognition

We propose a novel technique called simulated-data adaptation to improve online model adaptation for robust speech recognition. It allows us to adapt an acoustic model to the current environment where the input signal is actually captured. Online model adaptation is an unsupervised process that requires input speech with phone labels transcribed automatically. Data sparseness and unknown transcription are the two main limitations of this online adaptation. The basic idea of simulated-data adaptation is to add noise portions extracted from the input speech to a set of prerecorded clean speech, the correct transcriptions of which are known. This allows the limitations of classical online adaptation to be overcome. Various configurations of the proposed method are explored. Evaluations are performed with both additive and real noisy speech. The experimental results show that the proposed system achieves a higher recognition rate than the system using only the input speech in adaptation and the system using a model-selection tree-structured clusters acoustic model.
Feed Efficiency Estimates in Cattle: The Economic and Environmental Impacts of Reranking

This paper proposes the application of hierarchical models to the assessment of feed efficiency in beef cattle. Using a large dataset comprising 5600 cattle assembled from different experimental studies, feed efficiency rankings of cattle were estimated using the proposed approach. This was compared to more commonly used linear, and nonlinear estimators. A phenotypic selection scheme that selects cattle at the means of different percentiles was developed to illustrate potential economic and environmental outcomes resulting from changes in feed efficiency rankings. The former involved the specification of a multi-year stochastic farm simulation model. In general, our results show that improved feed efficiency is associated with positive economic and environmental benefits. A unit reduction in feed intake (kg as fed/day) is associated with an average increase of $13.23 in net returns and 33.46 tonnes reduction in emission at the end of the feeding period. We also find that feed efficiency ranking of cattle is sensitive to estimation approach. The within percentile mean estimates of the hierarchical model were comparable to the conventional linear estimator. There were, however, deviations at the tails of feed efficiency distributions where selection is most likely to occur.
Oral Health Literacy and Oral Health Behavior of Senior Medical and Pharmacy Students

Background and Aim: Oral health literacy plays an important role in oral health promotion. This study aimed to assess the level of oral health literacy of senior medical and pharmacy students. Materials and Methods: This cross-sectional study was conducted on senior medical and pharmacy students (n=300) of Tehran University of Medical Sciences in 2015. The oral health literacy-adult questionnaire (OHL-AQ) was used for data collection. This questionnaire has 17 items in four sections. The first section relates to the assessment of the perception of oral health. The second section is for the assessment of the ability to calculate values related to antibiotic and mouthwash prescriptions. The third section assesses the efficacy of communication skills, and the fourth section is about decision-making with regard to oral health problems. Chi-square and linear regression were used for descriptive analyses. Results: The mean score of oral health literacy was 12.093.85 for medical students and 10.484.29 for pharmacy students. University degree of the father (P<0.001) and being a medical student (P=0.002) were significantly correlated with a higher level of oral health literacy. The comparison of the mean score of oral health literacy and its association with oral health behavior showed a significant correlation between a high level of oral health literacy and a higher frequency of tooth brushing, use of toothpaste, regular dental visits, and dental visits during the last 1-2 years (P=0.001). Conclusion: Considering the moderate level of oral health literacy of medical and pharmacy students, it is necessary to include oral health topics in the curricula of medical and pharmacy schools.
Rank Preserving Discriminant Analysis for Human Behaviour Recognition Using Dash 7 Protocol

With the rapid development of the intelligent sensing and the prompt growing industrial safety demands, human behavior recognition has received a lot of attentions in industrial informatics. To deploy an utmost scalable, flexible, and robust human behavior recognition system, we need both innovative sensing electronics and suitable intelligence algorithms. In this paper, a new scheme for human behavior recognition on wireless sensor networks is proposed, namely Rank preserving discriminant analysis algorithm, which transmits the activities recognized from human or subject to network server. This activity signals are compressed by Hamming Compressed Sensing and the compressed signals are send to the network server. Heavy computations are performed by the network server and decompression also performed by network server. In the network server the classification process will takes place using nearest neighborhood algorithm. For transmitting of activity signals we are using Dash7 protocol which covers large area. Finally the results will be returned to the server. RPDA encodes local rank information of within-class samples and discriminative information of the betweenclass under the framework of Patch Alignment Framework. Experiments are conducted on the SCUT Naturalistic 3D Acceleration-based Activity (SCUT NAA) dataset and demonstrate the effectiveness of RPDA for human behavior recognition.
Testing for Seed Quality in Southern Oaks

Expressions of germination rate, such as peak value (PV) or mean germination time (MGT), provide good estimates of acorn quality, but test completion requires a minimum of 3 weeks. For more rapid estimates, tetrazolium staining is recommended. Some seed test results were significantly correlated with nursery germination of cherrybark and water oaks, but not with seedling growth. Additional keywords: Acorns, germination, nursery performance, Quefcus.
Destruction of large-scale magnetic field in non-linear simulations of the shear dynamo

The Sun's magnetic field exhibits coherence in space and time on much larger scales than the turbulent convection that ultimately powers the dynamo. In the past the α-effect (mean-field) concept has been used to model the solar cycle, but recent work has cast doubt on the validity of the mean-field ansatz under solar conditions. This indicates that one should seek an alternative mechanism for generating large-scale structure. One possibility is the recently proposed ‘shear dynamo’ mechanism where large-scale magnetic fields are generated in the presence of a simple shear. Further investigation of this proposition is required, however, because work has been focused on the linear regime with a uniform shear profile thus far. In this paper we report results of the extension of the original shear dynamo model into the non-linear regime. We find that whilst large-scale structure can initially persist into the saturated regime, in several of our simulations it is destroyed via large increase in kinetic energy. This result casts doubt on the ability of the simple uniform shear dynamo mechanism to act as an alternative to the α-effect in solar conditions.
Design and Development of a New Electrically Small 3D UHF Spherical Antenna with 360° of Opening Angle in the Whole Space for RFID, WSN, and RSN Applications

Several antenna designs have been made in order to obtain a novel electrically small 3D UHF spherical antenna (ka = 0.1916), which has a resonance frequency close to 915 MHz, produces a quasi-isotropic radiation with an opening angle equal to 360° in the whole space, and is used for RFID, WSN, and RSN applications. These antennas are based on different shapes and are wrapped on the Styrofoam sphere surface of dielectric constant close to air (). A T-match configuration is used to adapt the input impedance of antennas to a value of 50 Ω. The antennas form allows for placing the sensor electronics in its interior, to reconfigure it for numerous values of impedances and to operate it in other ISM bands by adjusting their geometric parameters.
Aspects on Wind Turbine Protections and Induction Machine Fault Current Prediction

This thesis presents detailed modelling of the induction machine with the main objective being accurate fault current prediction. The thesis focus mainly on mains connected induction machines and the response due to severe disturbances in the supply voltage, such as three-phase short-circuit faults. Both the squirrel-cage induction machine as well as the doubly-fed induction machine are treated. In order to accomplish accurate results, dynamic parameters of the induction machine is needed, and accordingly, extensive measurement series has been accomplished in order to identify these. A large number of locked-rotor tests and no-load tests with varying voltages and frequencies have been performed to find out the varying nature of the parameters due to skin effect and saturation. Regarding saturation, the effect of leakage flux saturation has been investigated. To incorporate for the skin effect and the effect of leakage flux path saturation in the calculations, a conventional dynamic mathematical description of the induction machine 5th order Park model) is modified, which makes it applicable for various operating conditions. The fault-current prediction of the detailed model is compared with the prediction of the conventional fifth order model and a dynamically equivalent three-phase model, and also with measurements of symmetrical and asymmetrical short circuit faults, starts and locked-rotor tests. The different models presented are also discussed with respect to wind power as the main application. The proposed model shows excellent agreement, and also indicates the essentiality to incorporate for the saturation of the leakage flux path and the skin effect as the response due to severe faults is to be determined and if a high accuracy result is the objective. Incorporation of the main flux saturation, is of little importance for the short-circuit fault currents. Regarding the selection of a two- or three phase model, the most appropriate model as well as the more simple model, is generally the two axis model. The disadvantage is the inability to account for a zero sequence component. The possible choice of using a three phase model is however only an issue if the generator is wye connected and if the neutral point of the generator is connected. Wind turbine generators are mainly connected in delta which imply no neutral point and if they are connected in wye, the neural point is however not connected. In the thesis the fault current determination for the doubly-fed induction generator system and the fixed speed system are treated. The fault current determination for the full power converter system is however not dealt with since this type of system have full control of the fault currents and can control these to a desired level.
CP Violation in Higgs Diphoton Decay in Models with Vectorlike Heavy Fermions

The amplitude of the diphoton decay of the Higgs boson is considered in an extension of the Standard Model involving heavy vectorlike fermions, which was recently suggested in the literature in order to explain a possible enhancement of the h -> gamma gamma decay rate. It is pointed out that generally in such models the decay amplitude acquires a sizable CP-odd contribution from the complex phases in the mass matrix of the new heavy fermions. The resulting CP violation in the diphoton decay can be studied experimentally when both photons are converted into e^+ e^- pairs by measuring the distribution over the angle between the planes of the pairs. Such measurement, if feasible, would be of a great interest on its own, regardless specific models.
Comparative Application of Different Strategies of Bacteriocins Produced by Carnobacterium maltaromaticium MMF-32 for Inhibition of Listeria monocytogenes ATCC 19114 in Cold-Smoked Haddock

Cold-smoked haddock fillets (undyed) treated with bacteriocin producing C. maltaromaticum MMF-32, C. piscicola A9b bac⁻ (a non-producer of bacteriocin) and supernatant, supernatant concentrated with (NH 4 ) 2 SO 4 and semi-purified bacteriocin of C. maltaromaticum MMF-32 were challenged with L. monocytogenes ATCC 19114 (up to 2.2 x 10 3 CFU g - 1 ). Following treatment, samples were kept at 4 °C for 10 days. L. monocytogenes ATCC 19114, total bacterial and carnobacterium counts were determined along with changes in total volatile base nitrogen (TVBN) and biogenic amine production as well as texture, color and odor. The anti-listerial effect of C. maltaromaticum MMF-32 and C. piscicola A9b bacˉ did not work on the cold smoked haddock, this is because there were few Carnobacterium cells in the samples that were inoculated with 4 x 10 6 CFU g‾ 1 , than the control i.e untreated fish samples and sample having only L. monocytogenes ATCC 19114. C. maltaromaticum MMF-32 did not show any spoiling capacity from the odour. All treated samples produced cadavarine. There is marked spoilage odour observed in samples treated with MRS supernatant and ammonium sulphate precipitated supernatant. During the period of storage, TVB-N treated samples exceeded the limit of 35 mg N 100 g -1 . The use of bacteriocins for inactivation of listeria cells, semi-purified bacteriocin showed a statistically significant reduction in L. monocytogenes ATCC 19114 growth on day 7. Although the study on anti-listerial effects of C . maltaromaticum MMF-32 was not successful, this organism did have a positive effect on retention of firmness and sensory perception in cold smoked haddock.
WIDEBAND FABRY-PEROT RESONATOR ANTENNA WITH SINGLE-LAYER PARTIALLY REFLECTIVE SURFACE

A single-layer partially reflective surface (PRS) structure is presented to design single-feed Fabry-Perot resonator antennas (FPRA) with a large gain bandwidth and compact size. The design of the PRS structure applied in this antenna is based on the theory of tightly coupled antenna arrays. Owing to strong mutual coupling between the overlapped patches, the proposed antenna obtains a wider bandwidth and more compact size. Experimental results show that the antenna obtains a 32% 3-dB gain bandwidth from 8.8 GHz to 12.2 GHz, with a peak gain of 13.5 dBi. Moreover, the relative impendence bandwidth is 40.9% for the voltage standing wave ratio (VSWR) less than 2 from 8.45 GHz to 12.8 GHz.
Seasonal growth dynamics and resilience of the green tide alga Cladophora coelothrix in high-nutrient tropical aquaculture

Two distinct climatic seasons in the tropics generate extreme environmental fluctua- tions in land-based aquaculture and corresponding challenges for integrated aquaculture. Here we assessed the influence of environmental and culture variables on productivity of Cladophora coelothrix at multiple scales, firstly in an operational settlement pond and subsequently in labora- tory and flow-through mesocosm experiments. Classification and regression tree (CART) analyses were used to partition the influence of key variables on growth. In situ productivity correlated pri- marily with nitrogen concentration, position in the pond and stocking density, with a lesser influ- ence of salinity, temperature and the ratio of nitrate-nitrogen (NO3 � -N) and total ammonium nitro- gen (TAN). We subsequently evaluated the resilience of C. coelothrix in laboratory and mesocosm environments by manipulating salinity, temperature and nutrients across a broader range of val- ues derived from a year-long survey of the settlement pond. Here temperature had the greatest influence on growth, followed by nitrogen concentration and salinity. Growth rates of C. coelothrix were high, irrespective of season, except at the extremes of each season, for example, at the lowest annual temperature and with the combination of high temperature and low salinity. Growth was also limited by ~20% when NO3 � -N and TAN were available simultaneously. The use of CART analyses for both in situ and controlled environment data provided a formal dissection of the relative contribution of each environmental variable to growth, demonstrating the year-round potential for bioremediation and identifying the critical combinations of environmental variables for management of this system.
Examples of non-constructive proofs in quantum theory

Unlike mathematics, in which the notion of truth might be abstract, in physics, the emphasis must be placed on algorithmic procedures for obtaining numerical results subject to the experimental verifiability. For, a physical science is exactly that: algorithmic procedures (built on a certain mathematical formalism) for obtaining verifiable conclusions from a set of basic hypotheses. By admitting non-constructivist statements a physical theory loses its concrete applicability and thus verifiability of its predictions. Accordingly, the requirement of constructivism must be indispensable to any physical theory. Nevertheless, in at least some physical theories, and especially in quantum mechanics, one can find examples of non-constructive statements. The present paper demonstrates a couple of such examples dealing with macroscopic quantum states (i.e., with the applicability of the standard quantum formalism to macroscopic systems). As it is shown, in these examples the proofs of the existence of macroscopic quantum states are based on logical principles allowing one to decide the truth of predicates over an infinite number of things.
An automatic approach to continuous stress assessment during driving based on fuzzy c-means clustering

This paper presents a novel approach for driving stress assessment by fuzzy clustering. In previous researches, stress during real-world driving tasks has been detected in discrete levels, but in this study, we demonstrated that considering fixed-levels for stress in long periods is not authentic. Without employing discrete levels of stress, data remains unlabeled. So a clustering method has been proposed to compensate for the lack of the feasibility of classification. Due to uncertainties, the clusters can be defined in terms of fuzzy sets. Furthermore, using fuzzy clustering methods, data overlap is considered. In the proposed algorithm, utilizing membership values generated by fuzzy c-means, and weights assigned by fuzzy inference system (FIS), we present automatic continuous criteria for stress in the short time intervals. The continuous scale is defined between 0and100, where higher values represent higher stress levels. Our findings not only confirm rough results of previous studies, but also indicate improvements in precision and accuracy of stress assessment.
Multiple Objective Fuzzy Sourcing Problem with Multiple Items in Discount Environments

The selection of proper supply sources plays a vital role to maintain companies’ competitiveness. In this study a multiple criteria fuzzy sourcing problem with multiple items in discount environment is considered as a multiple objective mixed integer linear programming problem. Fuzzy parameters are demand level and/or aspiration levels of objectives. Three objective functions are minimization of the total production and ordering costs, the total number of rejected units, and the total number of late delivered units, respectively. The model is developed for the all-units discount scheme. For the incremental discount and volume discount environment, modification requirements of the model are mentioned. The previously proposed interactive fuzzy approach combined with three fuzzy mathematical models is employed to obtain most satisfactory solution which is also a nondominated one. This study provides a realistic mathematical model and promising solution strategy to multiple item-single period sourcing problem in discount environment. Consideration of fuzziness makes the obtained nondominated solution implementable for the real cases.
Peripheral arterial disease and cardiovascular risk. The importance of Doppler in multi-pathological population

Objective: The aim of this study is to calculate cardiovascular risk (CVR), vascular age (VA), and prevalence of peripheral arterial disease (PAD) in the multi-pathological population admitted to Internal Medicine services, as well as to study the relationship between PAD and Monckeberg’s calcifi cation with VA and cardiovascular risk factors (CRF) in this population.
Outlier detection in GARCH models

We present a new procedure for detecting multiple additive outliers in GARCH(1,1) models at unknown dates. The outlier candidates are the observations with the largest standardized residual. First, a likelihood-ratio based test determines the presence and timing of an outlier. Next, a second test determines the type of additive outlier (volatility or level). The tests are shown to be similar with respect to the GARCH parameters. Their null distribution can be easily approximated from an extreme value distribution, so that computation of p-values does not require simulation. The procedure outperforms alternative methods, especially when it comes to determining the date of the outlier. We apply the method to returns of the Dow Jones index, using monthly, weekly, and daily data. The procedure is extended and applied to GARCH models with Student-t distributed errors.
Research on the Mechanism of Consumer Responses to Corporate Social Responsibility under Multi-Industry Context in China

This research examines the mechanism of consumer responses to CSR under multiindustry context in China. Data is collected by a three-industry comparative survey. The empirical results show that: 1) Two positive influences of consumers’ perceiving CSR performance on their corporate associations and product associations are respectively partially and fully mediated by consumers’ CSR trust; 2) Product category is a moderator of the relationship between consumers’ CSR trust and product association, and the positive path from product association to purchase intention. This study could help managers to understand how consumers think about CSR, and provides them strategic guidance to implement CSR programme in China.