Miracle-dz/UniFAR-FTUs huggingface dataset:
3D land CSEM inversion in noisy environment with a single transmiter: inversion approach and application for geothermal water prospection

Anthropogenic noise, cost and logistical constrains generaly limit to the use of land CSEM to a few transmiter positions for the deep imaging of the electrical conductivity. The 3D inversion of CSEM data in the near field using a single transmiter position suffers from critical sensitivity singularities. We proposed a robust inversion framework adapted to this ill-conditioned inversion problem. The framework relies specificaly on a robust Gauss-Newton solver, model parameter transformations to compensate the heterogeneous sensitivies, and on the reformulation of the near field CSEM data under the form of a pseudo-MT tensor. We describe the approach used for modeling and inversion implemented in our code POLYEM3D and show the advantages of pseudo-MT tensor formulation. The strategy have been tested on a pathologic synthetic case inspired from grayver et al (2013), and then was successfully applied to a real CSEM dataset acquired in the context of thermal water prospection in a noisy environnement.
Distributive Leadership as Management Strategy for School Effectiveness: The Place and Role of the OSCAR Coaching Model in South African Schools

Abstract A common thread in contemporary research on principal leadership refers to the ways in which principals take important decisions. These decisions have become increasingly more complex in a system of school-based management due to the fact that an appeal has been made to principals by the South African Ministry of Education to take on more responsibilities in order to manage their schools effectively and to enhance school effectiveness and learner outcomes by doing so. The concept of shared or distributive leadership has becomes vital in a system of school-based management. The OSCAR coaching model is one way in which leadership can be distributed effectively across individuals in the school context. The purpose of this paper, based on a qualitative study in selected South African schools, is to explore how distributive leadership, via this coaching model, can contribute to school effectiveness. Ethnographic interviews were conducted with individuals and focus groups from purposefully selected schools to establish the perspectives of individuals on the place and role of the OSCAR coaching model. The outcomes of this paper show that the OSCAR coaching model, as management tool, serves as a significant contributor to school effectiveness as it supports and contributes to the distribution of leadership.
Capillary Electrophoresis in the Analysis of Polyunsaturated Fatty Acids

Abstract The aim of this study to inventory the main electrophoretic methods for identification and quantitative determination of fatty acids from different biological matrices. Critical analysis of electrophoretic methods reported in the literature show that the determination of polyunsaturated fatty acids can be made by: capillary zone electrophoresis, micellar electrokinetic chromatography and microemulsion electrokinetic chromatography using different detection systems such as ultraviolet diode array detection, laser induced fluorescence or mass – spectrometry. Capillary electrophoresis is a fast, low-cost technique used for polyunsaturated fatty acids analysis although their determination is mostly based on gas chromatography.
Measuring Hotel Service Quality in Borobudur Temple Using Opinion Mining

The increasing of visitors number to Borobudur Temple due to infrastructure development has pushed hospitality industry to meet the level of quality expected from various customer, especially for hotel services. Currently, customers are benefited to plan their stay by looking through the hotel reviews, yet this review could also be profitable for hotels. This paper attempted to gain insight from online reviews of the hospitality industry in the Borobudur Temple area by employing opinion mining. The objective of this study is to measure the sentiment of hotel services quality in Borobudur Temple area using hotel reviews based on HOLSERV Plus dimensions (Room, Facility, Surrounding, Employee, and Reliability), which are considered to be relevant to measure the quality of hotel services. The hotel reviews is classified into five dimensions of HOLSERV Plus based on three different algorithms; Naïve Bayes, Support Vector Machine, and k-Nearest Neighbor. The result showed that Support Vector Machine had the highest accuracy, precision, and F1 score compared to other algorithms. Moreover, all dimensions have positive sentiment on average where employee dimension has the highest positive sentiment compared to other dimensions.
High Gain Millimeter-Wave Slot Antenna with Symmetric Radiation Characteristics

This paper introduces a new generic design perspective to boost the gain and provide symmetric radiation characteristics of electric or magnetic current elements. The symmetric radiation characteristic is similar to a magneto-electric dipole, but with higher gain and narrower bandwidth. The antenna is realized by an excited wide slot surrounded by a rectangular dielectric ring. The antenna achieves 11.5-dBi gain and 13% relative matching bandwidth centered at 60 GHz.
Title Intraoperative , real-time monitoring of blood flow dynamics associated with laser surgery of port wine stain

Background and Objective—Port-wine stain (PWS) birthmarks affect ~22 million people worldwide. After several treatment sessions, complete disappearance of the PWS occurs in only ~10% of treated patients. There is a need to develop a new strategy to improve the efficacy of each treatment session and the overall treatment outcome. The study objective was to determine how intraoperative measurements of blood flow correlate with treatment response assessed several weeks post treatment. Study Design/Materials and Methods—We employed Laser Speckle Imaging (LSI) to measure intraoperative blood-flow dynamics. We collected data from 24 subjects undergoing laser therapy for facial PWS birthmarks. Photographs were taken before treatment and at a follow-up visit, and analyzed by two expert observers. Results—Intraoperative LSI enables real-time monitoring of blood-flow dynamics in response to laser treatment and can inform clinicians on the need for focused re-treatment. The degree of PWS blanching achieved is positively correlated with the log-transformed acute blood-flow reduction (P =0.022). Conclusion—LSI is a simple, intraoperative monitoring tool during laser therapy of PWS birthmarks. LSI provides a single value for blood flow that correlates well with the degree of blanching achieved with laser therapy. Lasers Surg. Med. Correspondence to: Bernard Choi, PhD, University of California, Irvine Beckman Laser Institute and Medical Clinic, 1002 Health Sciences Road East, Irvine, CA 92612. choib@uci.edu. Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest and none were reported. HHS Public Access Author manuscript Lasers Surg Med. Author manuscript; available in PMC 2016 August 01. Published in final edited form as: Lasers Surg Med. 2015 August ; 47(6): 469–475. doi:10.1002/lsm.22369. A uhor M anscript
Motorway as a barrier to dispersal of the threatened dragonfly Sympetrum depressiusculum (Odonata: Libellulidae): Consequence of mortality or crossing avoidance?

Infrastructure is one of the main causes of landscape fragmentation, which results in isolation and loss of populations. Although the negative effect of roads on insects is well documented, only a minority of studies has focused on roads in the context of barriers to dispersal. Flying species in particular have been neglected. We investigated the effect of a four-lane motorway as a barrier to the movement of an isolated population of the threatened dragonfly Sympetrum depressiusculum in an agricultural landscape in Central Europe. Generalized additive models were used to assess the motorway's effect on (i) the distribution of adult dragonflies in patches of terrestrial habitat surrounding their natal site, and (ii) individual flight behaviour (i.e. willingness or unwillingness to cross the motorway). Movement patterns of marked adults throughout the landscape were also investigated. During one season, significantly fewer adults were found at patches located on the far side of the motorway, indicating it has a barrier effect. Observations on flight behaviour revealed no apparent effect of the motorway. The possible barrier effect for the species studied was therefore presumed to be a consequence of road mortality. Our results indicate that the motorway may influence the dispersal of this threatened species of dragonfly, which is a habitat specialist with particular requirements for its terrestrial environment. Negative effects on other species with similar behaviour and strategy can be presumed. When establishing new habitats, carrying out reintroductions or translocations, it is necessary to consider that roadways may reduce population size and affect population dynamics by limiting dispersal.
Design of CPW-Fed Circularly Polarized Antenna with Two Orthogonal Slots

A design of coplanar waveguide (CPW)-fed circularly polarized slot antenna is presented. The proposed antenna consists of two orthogonal slots. By making use of the symmetric current and electric-fleld distributions of the two gaps of CPW-fed, a simple power divider is easily achieved. By adjusting the length of the two orthogonal slots and CPW-fed bent slot, a circularly polarized wave of two orthogonal modes with equal amplitude and phase difierence of 90 degree is excited. The numerical results show that the 10dB return loss bandwidth and 3dB axial ratio (AR) bandwidth are 50.8% and 11.2% respectively. A prototype antenna is fabricated and measured, the measured results show that the proposed antenna achieves a good performance of circularly polarization.
Heat‐related changes in skin tissue dielectric constant (TDC)

The impact of 20 min of whole‐body heating (WBH) on the tissue dielectric constant (TDC) of forearm and hand skin was evaluated in 24 young adults. TDC was measured in triplicate at 300 MHz using an open‐ended transmission line method in which the effective measurement depth was about 2 mm. TDC measurements are an effective way to assess and track localized oedema and lymphoedema. The underlying hypothesis was that heat‐induced eccrine gland activation would increase TDC values via an increase in fluid within the TDC measurement volume. The goal was to test this concept and to determine the magnitude of the change when environmental temperatures were elevated to near 42°C and to estimate TDC recovery time. The practical aspect of this research is motivated by the fact that patients in whom such measurements are made may arrive at the clinic in various states of sweat gland activation. Thus, knowledge of the effect of such activation on measured TDC values permits better understanding of possible relationships between such activation and TDC values. Results showed that increasing environmental temperature from 23·3 ± 1·6 to 41·5 ± 1·3°C increased forearm and thenar eminence skin temperatures to 37·8 ± 0·5 and 37·9 ± 0·4°C, respectively. These changes were associated with increases in TDC at arm from 30·7 ± 4·6 to 36·3 ± 5·7 (18·2%) and at hand from 34·7 ± 4·9 to 45·1 ± 5·5 (30%). Based on calculated TDC recovery rates, it is concluded that temperature‐related TDC variability can be minimized using a wait time of at least 15 min after bandage removal prior to TDC measurements in affected limbs.
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms

Event sensors implement circuits that capture partial functionality of biological sensors, such as the retina and cochlea. As with their biological counterparts, event sensors are drivers of their own output. That is, they produce dynamically sampled binary events to dynamically changing stimuli. Algorithms and networks that process this form of output representation are still in their infancy, but they show strong promise. This article illustrates the unique form of the data produced by the sensors and demonstrates how the properties of these sensor outputs make them useful for power-efficient, low-latency systems working in real time.
ANTIOXIDANT AND THE IMMUNOMODULATORY ACTIVITIES EXHIBITED BY THREE PLANTS FROM LAMIACEAE FAMILY Original Article

Objective: The aim of this work was screening of the antioxidant activity and immunomodulatory effects of the crude extracts from the aerial parts of three Algerian endemic species from Lamiaceae. Methods: DPPH radical scavenging assay was used to find the antioxidant activity of Stachys circinata, Salvia verbenaca and Thymus guyonii and the immunostimulant potential of these plants extracts on the phagocytic activity which was measured by the carbon clearance rate test. Results: Our results obtained in this study shown that the IC50 of Thymus guyonii, Salvia verbenaca and Stachys circinata were 15,90;47,50 and 54,92 respectively. The phagocytic index was increased significantly in animals injected with Stachys circinata and Salvia verbenaca at doses of 200 mg/kg P≤0,05 but not significantly with Thymus guyonii when compared to the control group. The clearance rate of carbon was faster but not significantly P≥ 0,05 and the corrected phagocytic index α was increased at the group GIII with Salvia verbenaca but not significantly when compared with other groups P≥ 0,05. Conclusion: The Stachys circinata and Salvia verbenaca extracts proved an immune-stimulatory effect on the reticuloendothelial system and Thymus guyonii extract revealed anti-oxidant activity.
LEBANESE AMERICAN UNIVERSITY THE IMPACT OF U.S. ENERGY POLICY BILLS ON THE GCC STOCK MARKETS’ CONDITIONAL VARIANCE

This thesis investigates the impacts that bills on energy policy, introduced and discussed in the US Congress, have on the variance process of the five largest Gulf Cooperation Council stock markets. Since the US is the largest consumer of crude oil in the world and the GCC region is one of the most influential suppliers of crude oil, we investigate the hypothesis whether public news on US energy policy bills has a reversal impact on the GCC stock markets’ conditional variance. Augmenting the Asymmetric Generalized Autoregressive Conditional Heteroskedasticity (AGARCH) model of Glosten et al. (1993) with indicators determined in terms of the dates when the US energy policy bills are introduced, we find that the conditional variance of the GCC markets tends to revert on days when the bills are introduced and discussed in the US Congress. This finding is consistent with the learning hypothesis in the financial economics literature. Furthermore, examining the robustness of our finding within the AGARCH model to endogenous effects, we find that the variance responses of the GCC markets to public news on the dates of bills are not solely driven by market specific effects.
HOW ONLINE INFORMATION SEARCH INFLUENCESONLINE PURCHASING BEHAVIOR: A CAUSAL ANDEFFECT VALIDATION

This study explains development process of two important online behaviors, including online information search and online purchasing. A decision-making model is integrated into intention theories to develop this studys research model. The research model hypothesizes that development of information search and online purchasing behaviors is evolutionary or in sequential order. Sequential linkages of the two behaviors are based on two underlying assumptions, Theory of Mere Exposure and relationship between perceived risk and information search. Structural equation modeling is used to test this studys hypotheses. The result of this study could be used to provide a better understanding of how, why, and to what extent consumers adopt Internet stores as their sales channel.
Differences in perceived predation risk associated with variation in relative size of extra‐pair and within‐pair offspring

Extra‐pair paternity (EPP) is a widespread phenomenon in birds. Researchers have long hypothesized that EPP must confer a fitness advantage to extra‐pair offspring (EPO), but empirical support for this hypothesis is definitively mixed. This could be because genetic benefits of EPP only exist in a subset of environmental contexts to which a population is exposed. From 2013 to 2015, we manipulated perceived predator density in a population of tree swallows (Tachycineta bicolor) breeding in New York to see whether fitness outcomes of extra‐pair and within‐pair offspring (WPO) varied with predation risk. In nests that had been exposed to predators, EPO were larger, longer‐winged and heavier than WPO. In nonpredator nests, WPO tended to be larger, longer‐winged and heavier than EPO, though the effect was nonsignificant. We found no differences in age, morphology or stress physiology between extra‐pair and within‐pair sires from the same nest, suggesting that additive genetic benefits cannot fully explain the differences in nestling size that we observed. The lack of an effect of predator exposure on survival or glucocorticoid stress physiology of EPO and WPO further suggests that observed size differences do not reflect more general variation in intrinsic genetic quality. Instead, we suggest that size differences may have arisen through differential investment into EPO and WPO by females, perhaps because EPO and WPO represent different reproductive strategies, with each type of nestling conferring a fitness advantage in specific ecological contexts.
AIMED: Evolving Malware with Genetic Programming to Evade Detection

Genetic Programming (GP) has previously proved to achieve valuable results on the fields of image processing and arcade learning. Similarly, it can be used as an adversarial learning approach to evolve malware samples until static learning classifiers are no longer able to detect it. While the implementation is relatively simple compared with other Machine Learning approaches, results proved that GP can be a competitive solution to find adversarial malware examples comparing with similar methods. Thus, AIMED - Automatic Intelligent Malware Modifications to Evade Detection - was designed and imple-mented using genetic algorithms to evade malware classifiers. Our experiments suggest that the time to achieve adversarial malware samples can be reduced up to 50% compared to classic random approaches. Moreover, we implemented AIMED to generate adversarial examples using individual malware scanners as target and tested the evasive files against further classifiers from both research and industry. The generated examples achieved up to 82% of cross-evasion rates among the classifiers.
Electrical Properties of Polypyrrole Conducting Polymer at Various Dopant Concentrations

Polypyrrole conducting polymer was prepared by chemical reaction method with various concentrations of iron (III) chloride (FeCl3) as dopant. The dc conductivity was obtained from current-voltage characteristic by using parallel-plate techniques in the temperature range of 100-300K. With the involvement of chloride, Cl- in the polymeric chain, the conductivity increased as temperature and the dopant concentration increased. To describe the electrical transport process, Mott’s 1-D, 2-D and 3-D variable range hopping (VRH) models have been considered. The result gives evidence of transport mechanism based on Mott’s 3-D VRH mechanism for all various dopant concentrations studied.
Improved Deformation-Driven Element Packing with RepulsionPak

We present a method to fill a container shape with deformable instances of geometric elements selected from a library, creating a 2D artistic composition called an element packing. Each element is represented as a mass-spring system, allowing it to deform to achieve a better fit with its neighbours and the container. We start with an initial placement of small elements and gradually transform them using a physics simulation that trades off between the evenness of the packing and the deformations of the individual elements. Unlike previous work, elements can be given preferred orientations, and we can use shape matching to control the initial placement of elements in tight convex corners. We also explore the creation of tileable packings, and validate our approach using statistical measurements of the distributions of positive and negative space in packings. Our method produces compositions in which the negative space between elements is approximately uniform in width, similar to real-world examples created by artists.
Achievement in Cooperative versus Individualistic Goal-Structured Junior Secondary School Mathematics Classrooms in Nigeria

This study investigated the comparative effect of cooperative variants of STAD/TGT and individualistic goal structure on the mathematics achievement of 80 junior secondary school Nigerian students. The study adopted a pre- test, post-test control group quasi-experimental design and data collected for the study were analysed using the t-test statistic. The results showed that significant difference existed in the mathematics achievement of cooperative and individualistic goal structure groups in favour of cooperative group. The cooperative strategy also enhanced students' mastery of mathematics content at both the comprehension and application levels than at the knowledge level of cognition. Based on the findings, the study recommended among others that STAD/TGT as variants of cooperative learning should be used by teachers to complement the teaching of mathematics at the secondary school level. Keywords—Cooperative learning, student teams and achievement division (STAD), teams-games-tournaments (TGT), individualistic goal structure, mathematics achievement, knowledge level of cognition, comprehension level of cognition, application level of cognition.
Zebrafish as an Experimental Model for the Study of Obesity

Obesity is considered a silent global pandemic, with a steady increase in adults and children. It is a complex disease that involves the interaction of genetic and environmental factors and predisposes individuals to severe chronic complications such as various types of cancer, dyslipidemia, hyperglycemia, hypercholesterolemia, nonalcoholic fatty liver disease (NAFLD), and nonalcoholic steatohepatitis. To help elucidate the physiological mechanisms of this comorbidity in order to identify and develop effective treatments, the use of animal models is indispensable. Zebrafish is emerging as an important model for studying obesity and related metabolic diseases. In addition to being a small animal, with high genetic similarity when compared to humans and easy to handle, zebrafish also has the main well-conserved metabolism-related functions such as appetite regulation, insulin regulation, and lipid storage. Zebrafish is also suitable for the identification of new targets associated with the risk and treatment of obesity in humans. In this review, we highlight the studies that use zebrafish to study metabolic diseases demonstrating their important contribution in this area of research.