Miracle-dz/UniFAR-FTUs huggingface dataset:
Customer Perceptions of Service Quality in Luxury Hotels in Petra and Aqaba, Jordan: An Exploratory Study

The aim of the study is to assess customers perception of service quality in luxury hotels, in both, Petra (The iconic tourist attraction), and Aqaba (The commercial capital) on the Red Sea in Jordan and to help the hotel management identify how guest perceive the services and compare their performance against clients expectation. The study used a survey and interviews to accumulate information using SPSS version 20.0 for data analysis. The study sample consists of 271 participants of hotel guests at four- and five-star hotels in Petra and Aqaba. Findings results show that for responses relating to front office, room service, and in-house cafe/restaurant, the importance score is statistically significant to and higher than the performance rating. Overall, the results indicate significant difference guest expectations and actual experiences, thus highlighting managerial implications. The current study cannot claim to be wholly conclusive as it is limited to a small sample size from only two cities of Jordan. From a practitioner’s perspective the study provides an opportunity to recognize, in ranking order, features that are considered important by the guests staying in luxury hotels of Petra and Aqaba, as well as to identify the areas of disparity in service quality. It is observed that this is a significant study regards to its contribution to the literature and hotel managers who plan to improve their performance and competitiveness through guest satisfaction.
Assessing nutrient and sediment transport for Water Framework Directive purposes using the SWAT model - a case study in SW Finland

The ecological status of lake Pyhajarvi, located in south-western Finland, may be classified as moderate due to its elevated nutrient concentrations and algal biomass production. Thus, the Ylaneenjoki river basin, accounting for >50% of the total phosphorus loading to the lake, was chosen as the Finnish test catchment in the Benchmark models for the Water Framework Directive project. One aim of the project was to test the suitability of models like the catchment scale model SWAT for the assessment of nutrient and sediment transport and management options needed to meet the surface water quality requirements.
On the Detection of Heteroscedasticity by Using CUSUM Range Distribution

In this paper, we present a new method for checking the heteroscedasticity among the error terms. The method is based on the CUSUM Range distribution. We derive the CUSUM Range distribution (under the assumption of homogeneity) and use it to test for heteroscedasticity. The method seems to detect heteroscedasticity when it is present among the error terms.
NEW COREFLOOD SIMULATOR BASED ON INDEPENDENT TREATMENT OF IN-SITU SATURATION AND PRESSURE DATA

When capillary pressure is important water/oil and gas/oil displacement tests need to be interpreted carefully to establish the underlying relative permeability, since the JBN method will under estimate oil recovery and artificially suppress relative permeabilities. Previous work used a recasting of the Darcy flow equations to develop a method for interpreting displacement tests by direct processing of saturation data. These recast equations have now been used as the basis for a new coreflood simulator, which allows pressure drop and saturation data to be analysed separately. This approach has a number of advantages over conventional core flood simulators: the regression problem can be decoupled into three independent steps, the actual observed saturation history at the core outlet can be used as a boundary condition, and the interpreted fractional flow curve is independent of any assumptions about the phase pressure that is measured at the outlet. Regression to the observed data is achieved using a genetic algorithm. Analysis of saturation data can be made for the full length of the core or for data from defined subsections. This can be valuable when considering composite cores or when parts of the core are significantly affected by heterogeneity. The simulator is used to interpret results from a four rate waterflood on a carbonate core, to obtain relative permeability curves. The shape of the capillary pressure curve was also derived, however the cross-over saturation is not uniquely defined on the basis of the pressure measurements made, which were not phase selective. The simulator has also been used in a coreflood design mode, to select the minimum number of flow rate steps (including optimal selection of the individual rates) needed to derive reliable relative permeability curves, without unnecessarily complicating the laboratory flooding sequence.
Identifying Important Nodes in Complex Networks Based on Multiattribute Evaluation

Assessing and measuring the importance of nodes in a complex network are of great theoretical and practical significance to improve the robustness of the actual system and to design an efficient system structure. The classical local centrality measures of important nodes only take the number of node neighbors into consideration but ignore the topological relations and interactions among neighbors. Due to the complexity of the algorithm itself, the global centrality measure cannot be applied to the analysis of large-scale complex network. The k-shell decomposition method considers the core node located in the center of the network as the most important node, but it only considers the residual degree and neglects the interaction and topological structure between the node and its neighbors. In order to identify the important nodes efficiently and accurately in the network, this paper proposes a local centrality measurement method based on the topological structure and interaction characteristics of the nodes and their neighbors. On the basis of the k-shell decomposition method, the method we proposed introduces two properties of structure hole and degree centrality, which synthetically considers the nodes and their neighbors’ network location information, topological structure, scale characteristics, and the interaction between different nuclear layers of them. In this paper, selective attacks on four real networks are, respectively, carried out. We make comparative analyses of the averagely descending ratio of network efficiency between our approach and other seven indices. The experimental results show that our approach is valid and feasible.
Study on the IFNL4 gene ss469415590 variant in Ukrainian population

Thestudiedgroupconsistedof100unrela-ted donors of Eastern European origin representing the population of Ukraine. Genotyping for the IFNL4 geness469415590wasperformedusingtheamplification-refractorymutationsystemPCR.GenotypingfortheIL28Bgene rs12979860 was performed by the PCR-based restriction fragment length polymorphism assay.
Welfare Transfers and Intra-Household Trickle Down: A Model with Evidence from the US Food Stamp Program

We examine the case for maintaining welfare and income redistribution programs even when their adverse general equilibrium effects reduce total earnings of poor households. Using a Cournot model of intra-household decision-making, we show that even if welfare cutbacks generate large increases in household income, these may still reduce the well-being of children and elderly dependants. Our model also explains the higher marginal propensity to consume food out of food stamps in the US, compared to that out of market income, noted in earlier empirical studies. We find evidence consistent with our argument in data from a US Food Stamp experiment.
DOM quality in a peatland and forest headwater stream: seasonal and event characteristics

Peatlands and peaty riparian zones are major sources of DOM, but are poorly understood in terms of export dynamics and controls thereof. The quality of DOM affects function and behavior of DOM in aquatic ecosystems, but DOM quality can also help to track DOM sources and their export dynamics under specific hydrologic preconditions. The objective of this study was to elucidate controls on temporal variability in DOM concentration and quality in discharge from a bog and 10 a forested peaty riparian zone, particularly considering drought and storm flow events. DOM quality was monitored using spectrofluorometric indices for aromaticity (SUVA254), apparent molecular size (SR) and precursor organic material (FI), as well as PARAFAC modeling of excitation emission matrices (EEMs). Indices for DOM quality exhibited major changes due to different hydrologic conditions, but patterns were also dependent on season. The forested site with mineral, peaty soils generally exhibited higher variability in concentrations and quality 15 compared to the outflow of an ombrotrophic bog. During snowmelt and spring events surface-near protein-like DOM pools were exported. During drought a microbial DOM fraction originating from groundwater and deep peat layers was exported, characterized by high FI, high SR and increasing humic-like fluorophores C1% or C4%. During discharge events this deep sourced DOM pool was diluted by humic-rich surface-near DOM pools, which were more aromatic, also of microbial origin with high FI and SR, and an increase in humic-like fluorophores C2% and C3% at the forested site. The FI suggested export 20 of DOM of strong microbial alteration particularly under discharge events with dry preconditions. This might be due to accelerated microbial activity in the peaty riparian zone of the forested site. Our study demonstrated that DOM export dynamics are not only a passive mixing of different hydrological sources, but assessing DOM quality can greatly improve our understanding of DOM sources and their response under different hydrological preconditions.
Absorption coefficient characteristics of the Three Gorges Dam water

The absorption coefficient of water color constituents is an inherent optical parameter. It is the main factor which influences the distribution of the water optical field, and plays a very important role in the researches of water optics remote sensing. This paper analyses the absorption coefficient characteristics for particle matter, phytoplankton and colored dissolved organic matter(CDOM), using the absorption coefficient of water color constituents in situ measured at the Three Gorges Dam in April, 2007. The results show that, for the Three Gorges Dam water: (1) the absorption spectrum of non-algal particles is similar with that of total particle matter; (2) the absorption coefficient of non-algal particles decreases power exponentially from short to long wavelength, and the absorption coefficient in different bands has a definite relationship; (3) the absorption coefficient of phytoplankton has a better polynomial relationship with chlorophyll a concentration in the Three Gorges Dam water; (4) piece- wise function can express the absorption coefficient characteristics of CDOM. The absorption spectrum below 500nm decreases power exponentially from short to long wavelength, and the precision of the fitting R 2 approaches to 1; the absorption spectrum between 501 and 700nm fits well using polynomial relationship, and the precision R 2 is above 95%.
The Supremacy of the Sequence: Key Elements and Dimensions in the Process of Change

How single organizations manage the process of change and why only some of them are able to actually reach radical change are central questions in today’s theoretical debate. The role played by the process of change and its dimensions (namely, pace, sequence and linearity), however, has been poorly investigated. Drawing on archetype theory, this paper explores: (i) whether a specific pace of radical change exists; (ii) whether different outcomes of change are characterized by different sequences of change in key-structures and systems (iii) how the three dimensions of the process of change possibly interact. As an example of organizational change the study takes into consideration processes of accounting change in three departments of two Canadian and two Italian municipalities. The results suggest the supremacy of the sequence of implemented changes over the other two dimensions of the process in order to achieve a radical outcome of change.
Tri-Axial Vibration of the Head of Car Driver under Different Seating Conditions

Previous studies have quantified the biodynamic responses to vibration in a laboratory set-up using mainly rigid seats and single axis excitation. This study investigates the effect of the backrest contact, headrest contact, backrest angle, arm angle and the extent of gripping the steering wheel on the acceleration of the head in a real life multi-axis vibration environment. Fifteen male subjects drove a car on a paved road at a speed of 40 km/h adopting one of eight seating conditions at a time. The acceleration of the head was measured in the x, y and z-directions during the exposure duration. The results were presented as r.m.s. values and PSDs of the accelerations of the head. The greatest effect on the acceleration of the head resulted from using the backrest and the headrest. The arm angle and the extent of gripping the steering wheel showed no or little effect on the acceleration of the head. The effect of the seating conditions was found generally different from that reported in studies conducted in the labs with single, dual, or tri-axial vibration exposure.
Radiation Damage in Electronic Memory Devices

This paper investigates the behavior of semiconductor memories exposed to radiation in order to establish their applicability in a radiation environment. The experimental procedure has been used to test radiation hardness of commercial semiconductor memories. Different types of memory chips have been exposed to indirect ionizing radiation by changing radiation dose intensity. The effect of direct ionizing radiation on semiconductor memory behavior has been analyzed by using Monte Carlo simulation method. Obtained results show that gamma radiation causes decrease in threshold voltage, being proportional to the absorbed dose of radiation. Monte Carlo simulations of radiation interaction with material proved to be significant and can be a good estimation tool in probing semiconductor memory behavior in radiation environment.
GRAIN-SCALE FAILURE IN THERMAL SPALLATION DRILLING

Geothermal power promises clean, renewable, reliable and potentially widely-available energy, but is limited by high initial capital costs. New drilling technologies are required to make geothermal power financially competitive with other energy sources. One potential solution is offered by Thermal Spallation Drilling (TSD) - a novel drilling technique in which small particles (spalls) are released from the rock surface by rapid heating. While TSD has the potential to improve drilling rates of brittle granitic rocks, the coupled thermomechanical processes involved in TSD are poorly described, making system control and optimization difficult for this drilling technology. In this paper, we discuss results from a new modeling effort investigating thermal spallation drilling. In particular, we describe an explicit model that simulates the grain-scale mechanics of thermal spallation and use this model to examine existing theories concerning spalling mechanisms. We will report how borehole conditions influence spall production, and discuss implications for macro-scale models of drilling systems.
Morphological diversity and relationships among the IPGRI maize (Zea mays L) landraces held in IITA

Genetic variability estimates in maize (Zea mays L) landraces is an important information for trait improvement for food and nutrition security. Genetic diversity information in the Sub-Sahara African maize landraces is lack- ing. Agromorphological trait evaluation is a practical approach for genetic diversity estimation. Our objective was to assess genetic diversity among 60 IPGRI maize landraces held in IITA, Ibadan, against a check, «Obatanpa GH». Twenty-one quantitative traits and five qualitative traits were field-evaluated in Ghana in 2011 and 2012 wet seasons in a three-replicated randomized complete block design experiment. Large phenotypic variation was identified in all traits except cob colour, principal grain colour, and number of ears per plant. A moderate within population variation based on pooled Shannon Diversity Index was 0.68 ± 0.28. Between population variation was largest in earliness, anthesis-silking interval, and grain yield. Genetic similarity of 0.11 ± 0.00 based on squared correlation coefficient confirmed a large variability among accessions. Two major clusters, I and II, were separated on the basis of maturity characteristics, anthesis-silking interval, plant and ear heights, and grain yield. The first two principal components explained 67.89 % of the total variance. Four genotypes, TZm-1125 and TZm-1117 (5.0 Mg ha-1), TZm-1119 (5.4 Mg ha-1), and TZm-1139 (6.2 Mg ha-1) competed with the check (5.8 Mg ha-1) in grain yield. The IPGRI genotypes represent a large genetic reserve awaiting exploitation for trait improvement.
Hybridization of singular plasmons via transformation optics

Significance Surface plasmons, which are optical resonances supported by metallic nanostructures, are extremely useful for manipulating light on the nanoscale. However, designing novel plasmonic devices becomes quite challenging when the desired spectral response pattern is highly complex. Here we show that, by developing a theoretical model which combines plasmon hybridization theory with transformation optics, one can control both global and local features of the resonance spectrum in an intuitive way. As an application, we design a plasmonic metasurface whose absorption spectrum can be controlled over an extremely large class of complex patterns through only two structural parameters. Our theoretical model paves the way for the next generation of plasmonic devices, allowing for the efficient design of complex systems. Surface plasmon resonances of metallic nanostructures offer great opportunities to guide and manipulate light on the nanoscale. In the design of novel plasmonic devices, a central topic is to clarify the intricate relationship between the resonance spectrum and the geometry of the nanostructure. Despite many advances, the design becomes quite challenging when the desired spectrum is highly complex. Here we develop a theoretical model for surface plasmons of interacting nanoparticles to reduce the complexity of the design process significantly. Our model is developed by combining plasmon hybridization theory with transformation optics, which yields an efficient way of simultaneously controlling both global and local features of the resonance spectrum. As an application, we propose a design of metasurface whose absorption spectrum can be controlled over a large class of complex patterns through only a few geometric parameters in an intuitive way. Our approach provides fundamental tools for the effective design of plasmonic metamaterials with on-demand functionality.
Understanding implementation of maternal acute illness management education by measuring capability, opportunity and motivation: A mixed methods study in a low-income country

A major cause of maternal death in low-income countries is a lack of adequate healthcare. The dominant approach to improving care involves continuing professional development but little is known about their impact on practice. Less still is known about the determinants of practice change and barriers to implementation. This study investigated the implementation of an acute illness management course on Ugandan health professionals’ practice and determinants of practice change. Before and after training, 51 nurses, midwives, doctors and clinical officers completed tests of knowledge. Immediately post-course and 1-month later, participants completed questions assessing intention to change practice, practice and determinants of change. Post course, participants took part in focus groups. Post-course, participants reported that they were capable and were motivated to use their knowledge and skills in practice and a lower belief in opportunity to change practice. Behavioural intention was very high and behaviour 1 month later was statistically significantly lower. Three themes emerged: 1) systematic approach changing clinical practice, 2) inter-professional communication, and 3) barriers and facilitators to implementation. Educators should consider behaviour change determinants as important assessments of outcome because they provide crucial implementation of training into practice.
Are fungivorous Scarabaeidae less specialist ?

In a tropical forest patch of Southeastern Brazil, adult Scarabaeidae beetles were used to test the hypothesis that fungivorous guilds have a higher proportion of generalist species than either frugivorous, necrophagous or coprophagous ones. No significant differences were found between guilds in relation to either the proportion of generalists or niche breadths of the component species. Only two fungivorous specialist species were sampled. These results indicate that sporocarps eaten by Scarabaeidae are not as rare as literature suggests. Fungi may help maintain high species diversity of Scarabaeidae in tropical forests. [
Low silica MCM-41 composites and mesoporous solids

Aluminosilicate MCM-41 mesophase solids have been prepared under alkaline conditions with high degrees of mesoscopic order and silicon-to-aluminum molar ratios approaching unity. One- and two-dimensional solid-state NMR techniques, in conjunction with elemental analyses, infrared spectroscopy, and powder X-ray diffraction (XRD), establish that high concentrations of aluminum have been incorporated into the aluminosilicate MCM-41 frameworks, with retention of mesoscopic order. Hexagonal low silica MCM-41 has been prepared with a bulk molar Si/Al ratio as low as 1.3, while retaining a minimum of three indexable p6mm reflections in the XRD pattern prior to calcination. Following calcination to remove the structure-directing surfactant molecules, the hexagonal MCM-41 structures are preserved. The decreased thermal stabilities and dealumination of the materials with higher aluminum contents have been studied using 2D 27Al{1H} heteronuclear correlation NMR and 27Al MAS intensity calibration techniques to examin.
Gate structural engineering of MOS-like junctionless Carbon nanotube field effect transistor (MOS-like J-CNTFET)

* Corresponding Author Email: salehghoreyshi@gmail.com How to cite this article Faraji M, Ghoreishi S S, Yousefi R. Gate Structural Engineering of MOS-like Junctionless Carbon Nanotube Field Effect Transistor (MOS-like J-CNTFET). Int. J. Nano Dimens. , 2018; 9 (1): 32-40. Abstract In this article, a new structure is presented for MOS (Metal Oxide Semiconductor)-like junctionless carbon nanotube field effect transistor (MOS-like J-CNTFET), in which dual material gate with different workfunctions are used. In the aforementioned structure, the size of the gates near the source and the drain are 14 and 6 nm, respectively, and the work-functions are equal and 0.5 eV less than the work-function of the intrinsic carbon nanotube. The simulation is carried out in the ballistic regime using the non-equilibrium Green’s function (NEGF) in the mode space approach. The simulation results show that the proposed structure has a better am-bipolar behavior and less OFF current compared to a conventional junctionless structure with the same dimensions. In the new structure, the hot carrier effect is also reduced due to the reduced electric field near the drain, and with regard to a peak in the electric field curve at the junction of two gates, the gate control on the channel will be increased.