Miracle-dz/UniFAR-FTUs huggingface dataset:
Study of mineral dust entrainment in the planetary boundary layer by lidar depolarisation technique

Measurements on 27 June 2011 were performed over the Southern Iberian Peninsula at Granada EARLINET station, using active and passive remote sensing and airborne and surface in-situ data in order to study the entrainment processes between aerosols in the free troposphere and those in the planetary boundary layer (PBL). To this aim the temporal evolution of the lidar depolarisation, backscatter-related Angström exponent and potential temperature profiles were used in combination with the PBL contribution to the aerosol optical depth (AOD). Our results show that the mineral dust entrainment in the PBL was caused by the convective processes which ‘trapped’ the lofted mineral dust layer, distributing the mineral dust particles within the PBL. The temporal evolution of ground-based in-situ data evidenced the impact of this process at surface level. Finally, the amount of mineral dust in the atmospheric column available to be dispersed into the PBL was estimated by means of POLIPHON (Polarizing Lidar Photometer Networking). The dust mass concentration derived from POLIPHON was compared with the coarse-mode mass concentration retrieved with airborne in-situ measurements. Comparison shows differences below 50 µg/m3 (30% relative difference) indicating a relative good agreement between both techniques.
Equipment for the determination of dielectric properties of vegetable tissue during its mechanical loading

The internal structures of agricultural products change substantially in the course of the products deformation. One of the main changes in this process is the loss of the water content and water solutions generally due to the squeezing out of the cellular sap. The water content can be detected also by electric conductivity measured at different frequencies. The precise measurement of the electric conductivity during the deformation of soft agricultural products can be used as a simple indicative method for the study of the processes that control the squeezing out of the cellular sap including the filtration abilities of the cellular walls. In the paper, the experimental equipment is described that is able to detect the impedance of the vegetable tissue specimens during their compression between two plates. The equipment determines the sample impedance from a direct measurement of three voltages in the circuit that contains the tested specimen. The equipment is able to analyse the specimen properties at more than ten different frequencies up to 1 MHz. The formulas for the calculation of the real and the imaginary components of the relative permittivity are also given.
Bank Corporate Governance and Future Earnings Predictability

This study examines the impact of corporate governance on earnings predictability (future cash flows) for banks operating in 71 countries over the period 2007 to 2016. We find that board structure and CEO power have a significant influence on future cash flows. In contrast, risk governance variables have no significant influence. These findings vary between developed and emerging countries, common and civil law countries, and different sized banks. Board structure is more effective in predicting future cash flows in civil law and developed countries than in common law and emerging economies.
Bank of terms for clinical nursing practice with community elderly

The aim of this methodological research was to build a database of terms for clinical nursing practice with elderly followed by the Family Health Strategy teams based on official documents on elderly published in Brazil, and the International Classification for Nursing Practice (ICNP®), and validate it with specialist nurses in the area. It was performed from 2013 until 2014, based on document analysis, identification, extraction, normalization, validation and cross-mapping of terms relevant to clinical practice. In total were identified 332 terms, then they were submitted to the cross-mapping process, resulting in 271 constant and 61 non-constant terms in the ICNP® version 2013. The use of these terms is expected to allow the unification of the professional language of nurses and the implementation of nursing care systematization at this level of attention. Descriptors: Aged; Vocabulary; Terminology; Nursing; Primary Health
The Influence Of Professional Skepticism, Experience And Auditors Independence On The Ability To Detect Fraud

This research aims to test empirically the influence of professional skepticism, experience, and auditors independence on the auditors ability to detect fraud. The data collection done by distributing questionnaires to the respondents, that are auditors at the BPK was representative of the Province of East Java. Professional skepticism is measured using a scale of skepticism from Hurtt (2010), experience is measured from the length of service as an auditor, independence is measured by indicators of professional independence from Sawyer (2006), ability to detect fraud is measured by fraud symptoms from Fullerton and Durtschi (2004). Result of the regression analysis indicate that each independent variable, that are professional skepticism, experience, and independence, partially has an effect on ability to detect fraud. The implication of this study is that BPK auditors Representatives of the Province of East Java need to increase their professional skepticism, audit experience and also uphold the values of independence in order to do be able to detect fraud which is accordance with the State Financial Auditing Standards.
Introgression of LTP 2 gene through marker assisted backcross in barley ( Hordeum vulgare L . )

Article history: Received 7 April 2016 Accepted 5 September 2016 Available online 14 September 2016 Background: Marker-assisted introgression currently represents the most widely spread application of DNA markers as an aid to selection in plant breeding. New barley germplasm should be supplemented by genes that facilitate growth and development under stressful conditions. The homology search against known genes is a fundamental approach to identify genes among the generated sequences. This procedure can be utilized for SNP search in genes of predicted function of interest and associated gene ontology (GO). Results: Backcross breeding enhanced by marker selection may become a powerful method to transfer one or a few genes controlling a specific trait. In the study, the integrated approach of combining phenotypic selection with marker assisted backcross breeding for introgression of LTP2 gene, in the background of semi-dwarf spring barley cultivar, was employed. This study discusses the efficiency of molecular marker application in backcrossing targeted on the selected gene. Conclusions: BC6 lines developed in this study can serve as a unique and adequate plant material to dissect the role of LTP2 gene. Due to its role in lipid transfer, the LTP2 may be crucial in lipidome modification in response to abiotic stress.
Design of a Fast and Non-Dissipative Equalization Method for Li-ion Battery Pack

The consistency problem of Li-ion battery pack often affects its service life during the usage. To research the equalization techniques of Li-ion batteries can reduce the consistency problem. This paper presented a non-dissipative balancing method using the pulse transformer to drive a couple of MOSFETs that acts as bi-directional switches. Voltages of batteries are sampled using a high common-mode voltage difference amplifier. The result of simulation and experiment showed that this method can reach a fast balancing speed and a high energy transfer efficiency. Introduction With the development of the industry, the advantages of Li-ion batteries are showed gradually as the new generation of energy. The traditional Li-ion batteries such as Lithium iron phosphate battery, have the cell voltage between in 2.8-4 V. It cannot meet the requirements of the high voltage and large power in practical industrial application. Therefore, it always uses several batteries connected in series as a power battery pack to use. Considering the difference of self-discharging rate, the difference of using environment, and the difference of production technology of each battery, the inconsistency of the battery pack will be getting worse, what’s more, the available capacity of a battery pack is always determined by the worst battery which has the minimum available capacity of all. Therefore, study a reliable balance technology for Li-ion battery pack is an important guarantee for safety. In the existing balance technologies, the balance speed is often slow at later balancing period when using a super capacitor. The balance accuracy cannot be guaranteed when using the transformer due to the consistency problem of the output winding. In the commonly used DC-DC balance methods, the loss of the switching devices is often large, the isolated driving circuits is often complex, these problems increase the cost of the circuit. This paper studied a non-dissipated equalization technology based on the BOOST-BUCK circuit which transfers energy between any two batteries. This plan can reduce resistance loss by using a pulse transformer to drive a couple of MOSFET switches, shorten the balance time, and is very suitable for high voltage and large power applications. The principle and analysis of the Equalization Method The proposed equalization circuit is shown in Fig. 1, the {Bn} are represented as the series Li-ion batteries, the {Sn} are represented as the switches connected to the batteries. Lb is the boost inductor of the BOOST circuit, Sb, Sa are control switches, D is a freewheeling diode, C is an energy storage capacitor. The working process can be divided into three stages: t0~t1、t1~t2 、 t2~t3. 5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016) © 2016. The authors Published by Atlantis Press 884
Formulation and Fuzzy Modeling of Viscosity of Orange Beverages Fortified with Carboxymethylcellulose-Whey Protein Isolate Emulsions

The aim of this study was to employ whey protein isolate (WPI) and carboxymethylcelulose (CMC) as stabilizers in beverage production and to evaluate viscosity of the products. Three beverages were formulated using 6% WPI combined with three different concentrations of CMC (0.1, 0.5, and 1%). The combination of 6% WPI/1.0% CMC was selected and added to three different ratios of pure orange juice (50:50 “T 1”, 40: 60 “T 2”, and 15: 85 “T 3). The apparent viscosity decreased as both shear rate and temperature increased. Additionally, the apparent viscosity for the same treatment at certain shear rate/same temperature increased after storage. In addition, an adaptive neurofuzzy inference system (ANFIS) was used to model and identify the viscosity of the resulted beverages. Experimental validation runs were conducted to compare the measured values and the predicted ones. ANFIS models achieved an average prediction error of viscosity of only 9%. It is believed that this approach can be applied to predict many other parameters and properties in beverage industry. ﻞﺼﻣ ﻦﻴﺗوﺮﺑ ماﺪﺨ ﺘﺳﻻ ﺔﺳارﺪﻟا ﺖﻓﺪه
The Identification of Innovative Customer Groups for Collaborative Design Activities

This paper integrates relevant concepts from the literature to identify innovative customer groups for collaborative service design activities. It is proposed that the central concepts characterizing an innovative customer are innovation-related benefit, ahead of trend, use experience, and knowledge of the field. Measures are provided that underpin the integrated concepts and thus allow for the future testing and refinement of the proposed framework towards a more standardized customer screening approach. The need for open innovation platforms is identified to enhance customer participation beyond customer engagement behaviour. The paper contributes to the growing knowledge of the requirement to systematically select and involve specific customer groups in service design.
A traffic pattern detection algorithm based on multimodal sensing

Nowadays, smartphones are widely and frequently used in people’s daily lives for their powerful functions, which generate an enormous amount of data accordingly. The large volume and various types of data make it possible to accurately identify people’s travel behaviors, that is, transportation mode detection. Using the transportation mode detection, results can increase commuting efficiency and optimize metropolitan transportation planning. Although much work has been done on transportation mode detection problem, the accuracy is not sufficient. In this article, an accurate traffic pattern detection algorithm based on multimodal sensing is proposed. This algorithm first extracts various sensory features and semantic features from four types of sensor (i.e. accelerator, gyroscope, magnetometer, and barometer). These sensors are commonly embedded in commodity smartphones. All the extracted features are then fed into a convolutional neural network to infer traffic patterns. Extensive experimental results show that the proposed scheme can identify four transportation patterns with 94.18% accuracy.
MULTIRESPONSE ROBUST ENGINEERING: CASE WITH ERRORS IN FACTOR LEVELS

The model-based robust approach for improving the quality of the process is successfully applied to different industrial processes. In the case of multiple correlated responses the estimation of the mean and variance models of the quality characteristics in production conditions, taking into account the correlation between the multiple responses, together with the heteroscedasticity of the observations due to errors in the factor levels is considered at multivariate regression fit, robust engineering modeling and the optimization stages. The application of the proposed method gives the possibility to use raw industrial data for mean and variance models estimation and leads to reduction of the predicted variance of the responses in production conditions. The proposed approach is applied for electron beam melting and refining experiments.
A Bayesian Capture–Recapture Population Model With Simultaneous Estimation of Heterogeneity

We develop a Bayesian capture-recapture model that provides estimates of abundance as well as time-varying and heterogeneous survival and capture probability distributions. The model uses a state-space approach by incorporating an underlying population model and an observation model, and here is applied to photo-identification data to estimate trends in the abundance and survival of a population of bottlenose dolphins (Tursiops truncatus) in northeast Scotland. Novel features of the model include simultaneous estimation of time-varying survival and capture probability distributions, estimation of heterogeneity effects for survival and capture, use of separate data to inflate the number of identified animals to the total abundance, and integration of separate observations of the same animals from right and left side photographs. A Bayesian approach using Markov chain Monte Carlo methods allows for uncertainty in measurement and parameters, and simulations confirm the model's validity.
Does Exclusive Dealing Matter? Evidence from Distribution Contract Changes in the U.S. Beer Industry

We examine whether restricting a beer distributor's external trading opportunities increases the market shares of brands carried by the distributor. We use distribution status changes from the Anheuser‐Busch‐InBev distribution agreement, along with a panel scanner data set from a grocery chain in California, to implement a ‘difference‐in‐differences’ empirical strategy. We find that InBev's market share increased by 6% once InBev was carried by Anheuser‐Busch's exclusive distributors, while InBev's retail price had no significant change. The effect on InBev's market share is stronger for smaller stores that carry more brands. These results are consistent with the efficiency‐based theory of exclusive dealing.
Assessing the Impact of Cereal Prices on Consumer Price Index in Mali

This study examines the relationships between cereal prices and consumer price index (CPI) in Mali. Using monthly series of consumer price indexes from 1993 to 2014, Vector Error-Correction Model (VECM) was estimated in a co-integration analysis. This was in order to investigate the short and long-term dynamics and mechanisms of cereal prices. Results indicated that, a statistically significant long-run equilibrium relationship exists between consumer price index and those of the main variable inputs consumed, such as rice, corn and wheat. It also showed that, there existed a negative long-run relationship between CPI and the variables except for millet-sorghum prices. Furthermore, all the error correction terms were negative and significant. Despite these, there was no short run causality between them except for the millet-sorghum equation. There was short run causality from millet-sorghum to those variables such as CPI, rice, corn and wheat prices. The parsimonious VEC model suggests that, the dynamics of cereal prices market systems are linked to the process of changing CPI.
Colog Asset Pricing, Evidence from Emerging Markets

We introduce a new asset pricing model to account for risk asymmetrically in a very natural way. Assuming asymmetric investor behavior we develop a utility function similar to a quadratic utility but include a colog measure for capturing risk attitude. Asymmetry in investor preferences follows the asymmetric relationships between asset and market returns in equilibrium. Moreover the local version of the model depends on the characteristics of domestic markets, which is reflected in the different relationship between asset and market returns. We test the model in the Russian and South African markets and show that market premium in the Russian market is higher than in the South African market.
Mathematical Imaging with Applications to MRI and Diffusion Tensor MRI

PhD Thesis title Mathematical Imaging with Applications to MRI and Diffusion Tensor MRI supervisors Hans Z. Munthe-Kaas, Arvid Lundervold and Xue-Cheng Tai description In my PhD thesis I studied various aspects of mathematical imaging; inverse scale space methods, level set methods, diffusion tensor imaging and shape adaptive transform methods. Available through Bergen Open Research Archive: hdl.handle. net/1956/2159
The Wide Lens: A New Strategy for Innovation

How can great companies do everything right - identify real customer needs, deliver excellent innovations, beat their competitors to market - and still fail? The sad truth is that many companies fail because they focus too intensely on their own innovations, and then neglect the innovation ecosystems on which their success depends. In our increasingly interdependent world, winning requires more than just delivering on your own promises. It means ensuring that a host of partners - some visible, some hidden - deliver on their promises, too. In "The Wide Lens", innovation expert Ron Adner draws on over a decade of research and field testing to take you on far ranging journeys from Kenya to California, from transport to telecommunications, to reveal the hidden structure of success in a world of interdependence. A riveting study that offers a new perspective on triumphs like Amazon's e-book strategy and Apple's path to market dominance; monumental failures like Michelin with run-flat tires and Pfizer with inhalable insulin; and still unresolved issues like electric cars and electronic health records, "The Wide Lens" offers a powerful new set of frameworks and tools that will multiply your odds of innovation success. "The Wide Lens" will change the way you see, the way you think - and the way you win.
The boundary behaviour of harmonic univalent maps

Let D denote the open unit disc in the complex plane and / = h+~g a complex-valued, harmonic, univalent and orientation preserving map in D, where h and g are analytic in D. We show that g,h £ H λ and / G h λ for some λ > 0, where H λ (h λ ) is the Hardy space of order λ for analytic (harmonic) functions. We also study the correspondence under / between 3D (boundary of D) and the prime ends of f{D).
Acoustic Absorption of a New Class of Alumina Foams with Various High-Porosity Levels

Recently, a new class of ceramic foams with porosity levels up to 90% has been developed as a result of the association of the gelcasting process and aeration of the ceramic suspension. This paper presents and discusses original results advertising sound absorbing capabilities of such foams. The authors man- ufactured three types of alumina foams in order to investigate three porosity levels, namely: 72, 88, and 90%. The microstructure of foams was examined and typical dimensions and average sizes of cells (pores) and cell-linking windows were found for each porosity case. Then, the acoustic absorption coefficient was measured in a wide frequency range for several samples of various thickness cut out from the foams. The results were discussed and compared with the acoustic absorption of typical polyurethane foams proving that the alumina foams with high porosity of 88–90% have excellent sound absorbing properties competitive with the quality of sound absorbing PU foams of higher porosity.
Attitude towards and Perception of Literature in EFL Setting: A Case Study on QU Male Undergraduate Students

The study attempts to investigate the attitude and perception of Saudi undergraduate students towards English literature courses as a part of their BA English Program at a large public university in KSA. A total of 59 students (25 studying a literature course, 25 linguistics course and nine had already passed at least one literature course) participated in the study. Applying mixed method research design, questionnaires were used to collect quantitative data and retrospective essays were used for qualitative data. A modified version of AMTB developed by Gardner and associates was used to measure students' attitude towards literature courses. The results of study show that the participants have positive attitude towards literature courses. The findings also suggest that learners’ social environment (family, friends, classmates, teachers…etc.) significantly contribute in constructing positive attitudes and enhancing their perception towards literature as medium of learning L2. The study has pedagogical implication too. Policy makers (administrator, curriculum developers, and teachers) need to accommodate learners’ voices in the selection of teaching material.
3D face tracking for infant monitoring using dense HOG and drift reduction

This paper presents a new algorithm for 3D face tracking intended for clinical infant pain monitoring. The algorithm uses a cylinder head model and 3D head pose recovery by alignment of dynamically extracted templates based on dense-HOG features. Drift reduction is obtained from re-registration in combination with multi-pose state estimation by a square-root unscented Kalman filter. Results on videos of moving infants in hospital show good tracking for poses up to 50 degrees from upright-frontal, with mean eyelocation error relative to inter-ocular distance below 9%.