Miracle-dz/UniFAR-FTUs huggingface dataset:
Fatty Acid Profile and Physicochemical Properties of Landolphia owariensis P. Beauv Stringy Seed Oil

Purpose : To elucidate lipid profile of Landolphia owariensis P. Beauv stringy seed oil, the bulk physicochemical properties of its neutral lipid (NL), and also to ascertain its nutritional properties, safety and industrial applications. Methods : The neutral lipid was recovered by macerating 500 g of L. owariensis stringy seed pulp in 1 L of petroleum ether (40 – 60 oC boiling range) for 48 h. Methyl esters of the inherent fatty acids were generated by transmethylation while the physicochemical properties of the NL was determined by official methods of the Association of Official Analytical Chemists (AOAC). Results : The acid, iodine, saponification and peroxide values were 2.81 ± 0.01 mg KOH/g, 67.26 ± 1.05 mg I/100 g, 219.38 ± 2.69 mg KOH/g and 6.00 ± 0.28 mEq/kg, respectively. Thiobarbituric acid reactive substance (TBARS) value (6.10 ± 0.24 mg MDA/kg) of the NL further confirmed the stability of NL (neutral lipid) against oxidative rancidity. Gas chromatographic analysis of the methyl ester mix of L. owariensis stringy seed pulp NL indicate hexadecanoic acid (palmitic acid) as the principal fatty acid with an absolute proportion of 54.38 %. Palmitoleic acid (18.54 %) and linoleic acid (9.56 %) ranked second and third, respectively, while the saturated/unsaturated fatty acid ratio was 2.53. Conclusion : The neutral lipid of seed oil exhibited strong stability to ketonic and oxidative rancidity, and is safe for edible purposes. Its relatively high unsaturated fatty acid proportion (28.29 %) indicates that L. owariensis stringy seed pulp fixed oil possesses good nutritional qualities. Keywords : Landolphia owariensis , Stringy seed pulp, Lipid profile, Fatty acids, Palmitic acid, Palmitoleic acid, Linoleic acid
2D heat dissipation materials for microelectronics cooling applications

The need for faster and smaller, as well as more reliable and efficient consumer electronic products has resulted in microelectronic components that produce progressively more heat. The resultant reliability issues from the increased heat flux are serious and hinder technological development. One solution for microelectronics cooling applications is 2D materials applied as heat spreaders and these include monolayer graphene, graphene based films, and monolayer hexagonal boron nitride and BN based films. In addition, thermal performances of the graphene heat spreader were also studied under different packaging structures, including wire bonding, cooling fins and flip chips. Finally, 2D hexagonal Boron nitride (h-BN) heat spreaders, fabricated by different methods, were characterized by different thermal characterization methods, such as resistance temperature detector (RTD) and Infrared (IR) methods. In conclusion, these new novel 2D materials developed show great potential for microelectronics cooling applications.
Chronic Pain and Sleep Disorders in Primary Care

Background Chronic pain (CP) and sleep disorders (SD) are highly prevalent in the general population. However, comprehensive data regarding the prevalence and characteristics of pain and SD in primary care are rare. Methods From N = 578 patients N = 570 were included within 8 weeks (mean age: 50.8 ± 18.7 years, females: 289). Sociodemographic data, Insomnia Severity Index (ISI), and parts of a self-report questionnaire for pain (Multidimensional German Pain Questionnaire) were recorded and additional medical information (pain medication, sleep medication) was gathered from the patient charts. Results Of the total sample, 33.2% (n = 189) suffer from CP (pain ≥ 6 months) and 29.1% (n = 166) from SD. 45.5% of the CP patients suffer from SD and 26.5% from clinical insomnia (ISI ≥ 15). SD (β = 0.872, SE = 0.191, t = 4,572, p < 0.001, CI [0.497; 1.246]) and older age (β = 0.025, SE = 0.005, t = 5.135, p < 0.001, CI [0.015; 0.035]) were significantly associated with pain experience. Conclusion About a quarter of CP patients suffer from clinical insomnia. The suggested bidirectional relation should be considered during comprehensive assessment and treatment of patients.
REVISITING WITH CHANDRA THE SCALING RELATIONS OF THE X-RAY EMISSION COMPONENTS (BINARIES, NUCLEI, AND HOT GAS) OF EARLY-TYPE GALAXIES

We have selected a sample of 30 normal (non-cD) early-type galaxies, for all of which optical spectroscopy is available and which have been observed with Chandra to a depth such as to ensure the detection of bright low-mass X-ray binaries (LMXBs) with LX > 1038 erg s−1. This sample includes a larger fraction of gas-poor galaxies than previously studied samples and covers a wide range of stellar luminosity (LK), velocity dispersion (σ*), globular cluster specific frequency (SN), and stellar age. We derive X-ray luminosities (or upper limits) from the different significant X-ray components of these galaxies: nuclei, detected and undetected LMXBs, coronally active binaries (ABs), cataclysmic variables (CVs), and hot gas. The ABs and CVs contribution is estimated from the LX–LK scaling relation of M31 and M32. The contribution of undetected LMXBs is estimated both by fitting the spectra of the unresolved X-ray emission and by extrapolating the LMXB X-ray luminosity function. On average, the X-ray luminosity of LMXBs is a factor of ∼10 higher than that of ABs+CVs. By spectral fitting the emission (also considering gas emission in the regions of point sources), we estimate the contribution of the hot gas. We find our sample equally divided among galaxies with LX(gas) > LX(LMXB), LX(ABCV) ≤ LX(gas) ≤ LX(LMXB), and LX(gas) < LX(ABCV). The results for the nuclei are consistent with those discussed by Pellegrini. We derive a revised scaling relation between the integrated X-ray luminosity of LMXBs in a galaxy and the LK luminosity of the host galaxy: LX(LMXB)/LK ∼ 1029 erg s−1 LK−1 with 50% 1σ rms; moreover, we also obtain a tighter LX(LMXB)/LK–SN relation than previously published. We revisit the relations between hot gas content and other galaxy parameters (LK, σ*), which in most previous work was based on the integrated total X-ray luminosity of the galaxy, finding a steeper LX(gas)–LK relation with larger scatter than reported in the literature. We find a positive correlation between the luminosity and temperature of the hot interstellar medium, significantly tighter than reported by earlier studies. This relation is particularly well defined in the subsample with σ*>240 km s−1, where it may be related to the analogous correlation found in cD galaxies and groups/clusters. However, the gas-poor galaxies with the shallowest potentials (σ* < 200 km s−1) also follow this relation, contrary to the expected anti-correlation in a simple outflow/wind scenario. Galaxies with intermediate values of σ* instead tend to have the same kT, while LX(gas) spans a factor of ∼20; among these galaxies, we find a moderate, positive correlation between LX(gas) and the average stellar age, possibly suggesting a transition from halo retention to outflow caused by rejuvenated star formation associated with recent mergers.
Recurrent processing during object recognition Supporting Information

In the mammalian brain, the retina and LGN compress the visual input into an efficient contrastcoded representation using center-surround contrast filters that are radially symmetric (which can be nicely approximated by the difference of two Gaussians, Enroth-Cugell & Robson, 1966; Young, 1987). Then area V1 encodes orientation and other features building upon this basic contrast-enhanced input. (Hubel & Wiesel, 1962) We compress this chain of filters into a single step by using oriented Gabor filters, which are defined as a Gaussian-shaped spatial weighting multiplying a planar sine wave oriented in a given direction:
Robustness of scale-free networks under rewiring operations

Scale-free networks have strong tolerance against random failures yet are fragile under intentional attacks. Existing results show that the network robustness can also be affected by its correlation profile. Specifically, scale-free networks with larger assortativity coefficients generally tend to be more robust against intentional attack. In this letter, we reveal some interesting different observations. By proposing a simple rewiring method which does not change any nodal degree, we show that network robustness can be steadily enhanced at a slightly decreased assortativity coefficient. The tolerance against random failures meanwhile remains largely unaffected. Such observations demonstrate the more complicated relationship between network robustness and its assortativity level, as well as some new possibilities of network enhancement and protection.
Charged colloidal suspensions and their link to complex plasmas

Charged colloidal dispersions and complex plasmas share the classical many‐body character of strongly coupled systems but differ in their dynamics, which is overdamped in the colloidal and almost ballistic in the complex plasma case. In this paper, we shall discuss basic properties of charged colloids and emphasize in particular their link to complex plasmas. Similarities and differences between colloids and complex plasmas are discussed. In particular, the charging process in colloidal suspensions, their interactions and the Brownian dynamics is outlined.
Free road space estimation based on surface normal analysis in organized point cloud

This paper describes a method to estimate free space area in front of a vehicle. The free space estimation is based on surface normal analysis. Surface normal represents the orientation of a region. Naturally, a traversable area is the surface which facing upward in 3D environment or forming a slope with limited angle. Several neighboring area which has similar surface normal orientation are merged together by connected component region labeling. Finally, the regions that considered as free space area are decided by examining its size and orientation in 3D environment. The method in this paper is evaluated using KITTI stereo vision dataset. A robust global solution for free space in road surface is obtained. In a close range examination, this method can distinguish the road surface and pedestrian area which naturally has similar characteristic as free space area.
Minutia cylinder code-based fingerprint matching optimization using GPU

The advancement of technology has been giving contributions to the rapid growth of the use of digital data. In this digital era, lots of physical data have been transformed into the digital ones. One example of the use of digital data is the digital biometric fingerprint data on the Electronic Identity Card (KTP-el). Fingerprint matching can take a long time to process if the data is large enough. Thus, there is a need for a parallel fingerprint matching. Based on this rationale, this paper aims to improve the fingerprint matching performance, in the current state of the art linear solution, by using the Minutia Cylinder-Code (MCC) algorithm in parallel on GPU. Based on the experiment and testing, the proposed solution has a significantly better run time compared to the state of the art linear solution while maintaining the accuracy.
Developing and evaluating a pictogram-based Instant Messaging service for individuals with cognitive disabilities

Information and communication technologies pose accessibility problems to people with disabilities because its design fails to take into account their communication and usability requirements. The impossibility to access the services provided by these technologies creates a situation of exclusion that reduces the self-sufficiency of disabled individuals and causes social isolation, which in turn diminishes their overall quality of life. Considering the importance of these technologies and services in our society, we have developed a pictogram-based Instant Messaging service for individuals with cognitive disabilities who have reading and writing problems. Along the paper we introduce and discuss the User Centred Design methodology that we have used to develop and evaluate the pictogram-based Instant Messaging service and client with individuals with cognitive disabilities taking into account their communication and usability requirements. From the results obtained in the evaluation process we can state that individuals with cognitive disabilities have been able to use the pictogram-based Instant Messaging service and client to communicate with their relatives and acquaintances, thus serving as a tool to help reducing their social and digital exclusion situation.
Delay Effects on Consensus-Based Distributed Economic Dispatch Algorithm in Microgrid

For microgrids with connected but sparse communication networks, consensus-based approach can provide a distributed solution to the economic dispatch problem. However, as time delays in communication networks are nonnegligible, performances of consensus-based distributed economic dispatch algorithms are not well disclosed and investigated. Considering the effects of time delays, we first provide a novel consensus-based economic dispatch algorithm. The algorithm is fully distributed such that the optimal dispatch of energy resources in microgrid can be implemented in a distributed manner. The influence of time delays on distributed economic dispatch is strictly analyzed. The maximum allowable delay bounds are derived by applying the generalized Nyquist criterion. Several simulations are presented to verify the effectiveness of the algorithm and the correctness of the theoretical results.
Performance of different phenotypic tests in detecting mecA mediated methicillin resistance in Coagulase negative staphylococci ( CoNS )

Accurate detection of methicillin resistance (MR) in coagulase negative staphylococci (CoNS) is of utmost importance as infections due to CoNS are on the rise. Various phenotypic methods have been described for detecting mecA mediated MR with varying performance characteristics. The present study was designed to evaluate the performance of oxacillin and cefoxitin disc diffusion / MIC test and oxacillin screen agar against NAAT for detecting mecA mediated MR in 150 strains of CoNS. An inexpensive test to determine methicillin resistance reliably is of great value as NAAT are not easily available in all settings. In this study, cefoxitin disc diffusion accurately identified MRCoNS and can be used as a reliable test to determine the same.
Chattering in dynamic mathematical two-phase flow models

This paper describes a chattering phenomena present in the thermodynamic simulations of steam-water two-phase flow mathematical models. The models were developed with the Modelica modelling language and the Dymola tool. Modelica is an object oriented, acausal modelling language with a library of thermal fluid components, Modelica.Media, which includes an implementation of the IAPWS-IF97 (the International Association for the Properties of Water and Stream - Industrial Formulation 1997). The chattering phenomena is presented in a practical case: once-trough boiler, and several approaches are proposed to avoid this practical simulation problem.
Using Sequential Kalman Filters for State Estimation of Nonlinear Systems

Modal series is a new approach for modeling and analysis of nonlinear systems. This paper provides application of modal series to state estimation of nonlinear systems and introduces a new state estimation approach for nonlinear systems which uses a modal series model of nonlinear systems for Kalman filtering. The method implies a sequential use of Kalman filters which each one tries to decrease estimation errors of states. To validate the proposed approach, results of simulation of LQG control of a cart and pole using proposed approach has been compared with classical LQG control.
Efficient and fast Gaussian beam‐tracking approach for indoor‐propagation modeling

A Gaussian beam‐tracking technique is proposed for physical indoor‐propagation modeling. Its efficiency stems from the collective treatment of rays, which is realized by using Gaussian beams to propagate fields. The formulation of this method is outlined, the computation‐time efficiency is discussed, and the simulation results are compared to those obtained using a commercial ray‐tracing software (X‐Siradif®). © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 45: 378–381, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.20829
Comparison of trend extraction methods for calculating performance loss rates of different photovoltaic technologies

In this work, the performance loss rates of eleven grid-connected photovoltaic (PV) systems of different technologies were evaluated by applying linear regression (LR) and trend extraction methods to Performance Ratio, RP, time series. In particular, model-based methods such as Classical Seasonal Decomposition (CSD), Holt-Winters (HW) exponential smoothing and Autoregressive Integrated Moving Average (ARIMA), as well as non-parametric filtering methods such as LOcally wEighted Scatterplot Smoothing (LOESS) were used to extract the trend from monthly RP time series of the first five years of operation of each PV system. The results showed that applying LR on the time series produced the lowest performance loss rates for most systems, but with significant autocorrelations in the residuals, signifying statistical inaccuracy. The application of CSD and HW significantly reduced the residual autocorrelations as the seasonal component was extracted from the time series, resulting in comparable results for eight out of eleven PV systems, with a mean absolute percentage error (MAPE) of 6.22 % between the performance loss rates calculated from each method. Finally, the optimal use of multiplicative ARIMA resulted in Gaussian white noise (GWN) residuals and the most accurate statistical model of the RP time series. ARIMA produced higher performance loss rates than LR for all technologies, except the amorphous Silicon (a-Si) system. The LOESS non-parametric method produced directly comparable results to multiplicative ARIMA, with a MAPE of -2.04 % between the performance loss rates calculated from each method, whereas LR, CSD and HW showed higher deviation from ARIMA, with MAPE of 25.14 %, -13.71 % and -6.39 %, respectively.
Markerless Tracking Solutions for Augmented Reality on the Web

This paper presents tracking software infrastructure developed for allowing the creation of web targeted augmented reality applications based on natural features of the real scene. A texture based markerless tracking by detection technique for planar objects was used with descriptor based (SIFT and SURF) and classifier based (Ferns) feature matching methods. One server-side tracking infrastructure was implemented using the Mammoth open source Flash media server. In addition, two client-side tracking solutions were developed, each one based on a different browser plug-in (OSAKit and Silverlight). The implemented solutions were evaluated using real data regarding metrics such as performance and load time. Client-side tracking provided better results, with the OSAKit solution having higher frame rates, while the Silverlight solution showed to be more flexible and platform independent.
Towards a Culturally Appropriate Mental Health System: Sudanese-Australians' Experiences with Trauma

Australia is fortunate to welcome approximately 13,000 humanitarian entrants per year, most of whom have experienced protracted violence, hardship and life in refugee camps. The majority of humanitarian migrants were raised in cultural contexts very different to that of Australia, contributing to the increasing diversity of this region. With this diversity comes a responsibility to ensure every Australian receives culturally appropriate mental healthcare. Those who are forced into migration have experienced trauma and the stress of acculturation often compounds this trauma. This study investigated the experience of trauma from the perspectives of Sudanese-Australians. Grounded theory methodology was employed to extract themes from interviews with 15 Sudanese-Australians aged between 19 and 49 years. Results demonstrated four overarching themes: support, religion, strength and new possibilities. The data within these themes are compared and contrasted with previous literature that has examined notions of trauma, distress and growth in western populations. Conclusions drawn from these results highlight the need to build inclusive practices that support diversity into existing trauma services in Australia.
A novel approach for reconstructing water surface using shape from shading technique

Imaging based techniques provide for a way for reconstructing surfaces using Shape from shading algorithms. Adding the convenient approximation of target wave fields by superposition of simple plane waves a new greedy algorithm for reconstruction of water surface is introduced. The algorithm developed optimizes each wave-front for several parameters until the least squares error is minimum. The methodology is illustrated by application to synthetic and real data obtained from the experiments performed in Linear wave lab at Embry Riddle Aeronautical University (ERAU). Generalization of approach to non-linear problem of reconstructing water waves from reflectance data modeled by Lambertian reflectance model is demonstrated. Possible improvements including use of Specular reflection model and better optimization techniques are discussed. The approach is observed to be an effective way for reconstructing any kind of water wave field.
A prototype passive UHF RFID transfer tattoo tag

A novel temporary transfer tattoo based RFID tag is presented providing a non-optimised read range of 50cm. The transfer based tag is proposed for security and personnel tagging applications where the injection of a sub-skin tag is not desirable. With some refinement the tag could have a life span of a day or more, but could not be transferred to another person without destroying it. By applying correctly formulated conducting inks, the patches could be inkjet printed for widespread use.
Context-Aware Analysis of Data Sharing Agreements

A Data Sharing Agreement is an agreement among contracting parties regulating how they share data under certain contextual conditions. Upon the definition phase, where the parties negotiate the respective authorizations on data covered by the agreement, the resulting policy may be analysed in order to identify possible conflicts or incompatibilities among authorizations clauses. In this paper, we propose a formal framework for Data Sharing Agreement analysis. Our proposal is built on a process algebra formalism dealing with contextual data, encoded into the Maude engine to make it executable. The effectiveness of the analysis is shown through a sensitive data sharing test bed. Furthermore, we present an implementation of the analyser exposed as a Web Service built on top of Maude. The Web Service technology allows the modularity of the whole architecture with respect to the analysis tool.
Strategy for Supply Chain Coordination Based on Fashion Life Cycle

This paper analyzes the feature that demand for apparel products varies with the market fluctuation, and it thus affects the decision-making program of the supply chain participants. In the case of different game relations, bargaining power, information structure and organizational structure, retailers have diverse risk preferences in different product life cycles. This paper introduces the concept of fashion index and establishes risk aversion coefficient model, analyses expected utility function through both the centralized model and dispersion model, and obtains the optimal buyback strategy. By data simulation, it is demonstrated that the retailer's risk aversion coefficient is decreasing with the increases of fashion index in different fashion cycles. In order to achieve the perfect coordination of the supply chain, supplier buy-back price will also increase accordingly to encourage retailers. This study indicates that considering the fashion index will give a clearer fashion reflection of the members' market expectations, thus to obtain optimal coordination parameters to optimize the supply chain profits.