Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceptions Effect of Organizational Support on Employees Work Engagement

: Human resources are the main capital for a labor-intensive company. One of the potential factors to make human resources a competitive advantage for companies is work attachment. To build work engagement requires a two-way relationship between employees and the company. This study aims to examine the effect of perceived organizational support on employee work engagement using a quantitative approach with convenience sampling technique (involving 201 permanent employees in a labor-intensive company engaged in manufacturing). The data were obtained through a survey method by distributing a scale consisting of work engagement and perceived organizational support. The results of statistical analysis show that perceived organizational support has a significant and positive effect on work engagement. This means that the higher the work attachment to employees, the stronger perceived organizational support. The implication of this research can help the company to increase work engagement by strengthening the support that the organization provides to employees.
Patient-reported outcomes used to personalize Dutch head and neck cancer rehabilitation

Objective: Monitoring outcomes of head & neck cancer (HNC) patients during and after treatment, gives healthcare professionals tools to improve their care and to inform patients in perspective of expectation-management. Since outcomes could differ depending on type of treatment, patient-reported outcomes (PROs) for HNC patients receiving a single-modality treatment versus multi-modality treatment were monitored in order to provide a personalized follow-up. Study design : Prospective, observational, multicentre study. Setting: Patients from three hospitals participating in the Dutch Head & Neck Audit (DHNA). Methods : Validated PRO measures (PROMs), including Global Health Status (GHS), functioning and symptoms, were completed at baseline and 3, 6, and 12 months after the last treatment. Descriptive analyses were used to assess trends in PROs over time and between treatments. Results : A total of 358 patients completed 571 PROMs. Global health status tended to score higher in the surgery group (single-modality treatment). Patients with multi-modality treatment tended to have poorer functioning than patients with single-modality treatment (surgery of radiotherapy). Patients who underwent surgery as single-modality treatment tended to have fewer symptoms than patients who received radiotherapy as single-modality or multi-modality treatment. Conclusions: PROMs are useful tools to personalize HNC care. Given the greater incidence of symptoms and loss of functioning among patients after multi- modality treatment, follow-up care has to be improved by introducing a more personalised information (preventive expectation management and supportive care advice) at the start of a multi-modality treatment and follow-up phase directed toward rehabilitation for restoring function and decreasing symptoms.
Re-evaporation of adsorbed (toxic) compounds inside an activated carbon filter

Angelique Leonard, Department of Applied Chemistry, University of Liege, B6c, Sart Tilman, 4000 Liege, Belgium Silvia Blacher, Department of Applied Chemistry, University of Liege, B6c, Sart Tilman, 4000 Liege, Belgium Hilda Wullens, DLD, Defense Laboratories Department, NBC Protection, Kwartier Majoor Housiau, Martelarenstraat 181, 1800 Peutie, Belgium Michel Crine, Department of Applied Chemistry, University of Liege, B6c, Sart Tilman, 4000 Liege, Belgium Peter Lodewyckx, Royal Military Academy, Department of Chemistry, Renaissancelaan 30, 1000 Brussel, Belgium
An invariant descriptor map for 3D objects matching

Meshes and point clouds are traditionally used to represent and match 3D shapes. The matching prob-lem can be formulated as finding the best one-to-one correspondence between featured regions of two shapes. This paper presents an efficient and robust 3D matching method using vertices descriptors de-tection to define feature regions and an optimization approach for regions matching. To do so, we compute an invariant shape descriptor map based on 3D surface patches calculated using Zernike coef-ficients. Then, we propose a multi-scale descriptor map to improve the measured descriptor map quali-ty and to deal with noise. In addition, we introduce a linear algorithm for feature regions segmentation according to the descriptor map. Finally, the matching problem is modelled as sub-graph isomorphism problem, which is a combinatorial optimization problem to match feature regions while preserving the geometric. Finally, we show the robustness and stability of our method through many experimental re-sults with respect to scaling, noise, rotation, and translation.
Theory of Automatic Dependent Surveillance–Broadcast Position Verification Using Time Difference of Arrival

Automatic dependent surveillance–broadcast (ADS-B) is an emerging means of aeronautical surveillance. Because ADS-B is susceptible to false aircraft information, position verification is essential. This article proposes a theoretical performance model for ADS-B position verification using the time difference of arrival (TDOA). The model was derived by considering the effects of receiver–aircraft geometry, TDOA accuracy and outliers, latency, self-localization accuracy, and detection threshold. The model was verified through a numerical simulation, flight experiment, and spoofing experiment.
Análisis de Vibración de Platos Anulares con Soporte Elástico

La presente investigacion consiste en un modelo mecanico de sujecion por resortes a flexion y a tension-compresion para analizar el cambio en las frecuencias naturales y formas modales con respecto a las rigideces en la sujecion del disco. Las sujeciones empotradas de un sistema mecanico real son comunmente modeladas como una sujecion ideal que restringe totalmente los momentos y fuerzas, lo cual comunmente no existe en los sistemas reales. Esta limitacion motiva el desarrollo del presente modelo que permite tomar en cuenta la elasticidad de la sujecion que existe en el disco anular. Se modela la vibracion libre de un plato anular con aristas externa libre y diferentes valores de rigidez como condiciones de frontera en la arista interna y se resuelve analiticamente mediante las funciones de Bessel. Los parametros de frecuencia natural γ 2 son tabulados para el soporte empotrado y elastico con diferentes relaciones de radios externo-interno, modos de vibracion y rigideces en la arista interna. Se observa que conforme las rigideces del soporte flexible aumentan, los valores de los parametros γ 2 convergen a los del disco con soporte clasico empotrado. Las formas modales cambian de manera distinta con respecto a los cambios en la rigidez a tension-compresion y con respecto a cambios en la rigidez a flexion.
Effect of substrate on the responsive behaviour of functionalised surfaces: insights from molecular simulation

Abstract Responsive surfaces have been suggested to enhance longevity and antifouling performance of materials in many applications from industrial coatings to tissue engineering and drug delivery. We present a molecular dynamics study investigating de-swelling and swelling of some of the most commonly used responsive materials – PEG-functionalised silica and polymer surfaces – as a function of hydration and temperature. We show that PEG chains grafted onto the hard silica substrates exhibit a dehydration-induced collapse that is far more pronounced compared to chains grafted onto the soft polyester surface. The difference between the hard and soft substrates is particularly notable at low coverage densities where the chains are sufficiently separated from one another. We also show that inter-molecular hydrogen bonding responsible for the conformational state of the tethered chains in water can be temperature controlled. It can be suggested that the hard substrates with the intermediate-to-high coverage densities of low molecular weight hydrophilic grafts may be more appropriate for anti-fouling applications due to their ability to trap greater amount of water molecules. Soft substrates may be detrimental for the efficient response of the functionalised surfaces to changes in hydration and enhancement of the surface hardness must be considered when designing responsive surfaces for solution-based applications, such as antimicrobial coatings for industry and biomedicine.
Semantic propositions of nominalisations as grammatical metaphor in English and Vietnamese media discourse

In the domain of Systemic Functional Grammar (SFG), the term ‘grammatical metaphor’ as coined by Michael Halliday (2004) refers to variation in the expression of meaning, which aims to transform the functions of grammatical elements that constitute meaning [1]. Grammatical metaphor (GM), also seen as an incongruent form of expression, has become a predominant feature of official or scientific discourses. However, these non-congruent metaphorical modes of expression or nominalisations have been increasingly used in other discourses, either in descriptive or media discourses. This article attempts to find out the semantic configurations of nominalisations as grammatical metaphor in English and Vietnamese media discourse. Based on the framework introduced by Halliday [1] and the categorisation of nominalised constructions suggested by Sušinskienė [2], it characterizes the semantic propositions of nominalisations as grammatical metaphor and compare the semantic representations of these constructions in the media discourse between English and Vietnamese.
MSNet: A Multiple Supervision Network for Remote Sensing Scene Classification

Remote sensing scene classification is a complex task due to large intraclass variations in object appearances with a small number of samples per class and high interclass similarities due to shared objects in different classes, which usually cause model overfitting and high interclass confusion. To address these challenges, a multiple supervision approach, called multiple supervision network (MSNet), consisting of the ResNet-50 backbone, a feature discriminative branch (FDB), and a feature confusion branch (FCB) is proposed in this letter. The FDB selects discriminative features per class and suppresses peaks in feature maps to examine more informative regions with lower feature magnitudes. Meanwhile, the FCB reduces overfitting by introducing confusion to the input of a fully connected layer which also enhances the robust features. The FDB and FCB are only used in training of the backbone and not used in inference. Thus, the proposed method does not introduce additional computing time on the backbone while it significantly boosts its performance in scene classification. The experimental results show that MSNet outperforms the methods considered in this letter.
Synthetization of Virtual Transmit Antennas for MIMO OFDM Radar by Space-Time Coding

Recent publications have investigated and demonstrated new digital modulation techniques that allow realization of orthogonal frequency division multiplexing (OFDM) radar with relatively low hardware effort. This is especially interesting as the digitally defined signals offer additional freedom for multiplexing schemes of multiple-input multiple-output (MIMO) radar sensors. MIMO radar sensors rely on strictly orthogonal signals to distinguish between multiple transmitters (TX). To span a virtual array with a maximum number of antenna positions, a novel method that combines orthogonal signals with strongly correlated signals generated by space-time coding (STC) is introduced. This leads to virtual transmit antenna positions that are used to improve the unambiguous angular area of an otherwise ambiguous MIMO antenna array. The proposed method is validated with an integrated OFDM radar at millimeter-wave frequencies.
A Study on the Structural and Formation of the Low-Level Jet Stream over the Northern Persian Gulf (Case study on sinking the Behbahan cargo vessel)

A strong low level jet (LLJ) in the northern region of the Persian Gulf (PG) observed on 5th Jun 2020 that sank the Behbahan cargo vessel. In this article, we have used the WRF-V3 model and reanalysis ERA5 data to study the vertical structure, diurnal variation and intensity of the LLJs. The aimed topography’s region, the pressure gradient and the land-sea breeze are the essential key factors in analyzing the diurnal variation of the LLJ over the PG that is known as the Shamal wind. The low terrain height in the northern of the PG and Zagros Mountains channelized the northwest winds and increased the pressure gradient that increased the wind speed. The decreasing friction over the PG during nighttime and the differences in temperature and specific heat capacity between water and land cause an increase in the LLJ intensity. The LLJ’s core 22-24 ms - 1 was located over the study region in 925hPa on 4th and 5th June at 18 and 00 UTC respectively. Thereafter core’s wind speed decreased to 10-14 ms -1 at 12UTC on 5th June. The mix-down of momentum from the LLJ level to the surface caused an increase in wind speed and wave height over the PG which sank the Behbahan cargo vessel at early morning of 5th June. The LLJ at some regions like Kuwait formed at lower heights (under 950 hPa) and at the other points LLJ formed at levels upper than 950 hPa during nighttime of 4th Jun to afternoon of 5th Jun.
Improved Performance of CaCl2 Incorporated Polyethersulfone Ultrafiltration Membranes

Poly(ethersulfone) (PES) / poly(vinylpyrrolidone) (PVP) blend membranes modified with calcium chloride (CaCl2) were prepared by phase inversion method. Effect of CaCl2 on the morphology, filtration and performance characteristics of the PES/PVP membranes was studied in detail. Results indicated that CaCl2 blend membranes possessed better porosity and flux than the pristine PES membrane. Dye separation efficiency of CaCl2 blend membranes was also increased considerably. Especially, the PES/PVP blend membrane with 1 wt% CaCl2 showed highest permeate flux and improved dye rejection. Fouling analysis carried out on CaCl2 blend membranes clearly showed that these membranes possessed better antifouling effect than pure PES membrane. Thus the CaCl2 blended PES/PVP membranes are more promising for the treatment of dye polluted wastewater.
Modeling of bipolar resistive switching of a nonlinear MISM memristor

This paper presents a novel mathematical model of the bipolar resistive switching (BRS) of the metal-insulator-semiconductor-metal (MISM) in a Pt/Ta2O5/TaOx/Pt memristor. The proposed model is based on quantum mechanics and describes the BRS behaviour based on electron band theory and the physical characteristics of the metal-insulator-semiconductor (MIS) system. It also includes the physical characteristics of the insulator layer. The novelty of the proposed model lies in incorporating the tunnelling probability factor (TPF) between the semiconductor and the metal layers and therefore demonstrating its effect on the conduction mechanism. In addition, the effect of continuous variation of the interface traps densities and the ideality factor during BRS is modelled using the semiconductor properties and the characteristics of the MIS system. Thus, the model emphasizes the dependency of the memristor current on the physical characteristics of the insulator layer. Moreover, the electric field equation for the active region is derived for the MISM structure which is used, together with the Mott and Gurney rigid point-ion model and the Joule heating effect, to model the oxygen ion migration mechanism. Finally, the model also demonstrates the self-limiting growth of the doped region. Extensive simulation is carried out on the proposed model and the results are correlated against the experimental data which show that the proposed model is in good agreement with the physical characteristics of the MISM memristor.
Liquid micro-junction surface sampling and MALDI imaging of small and large molecules in human liver disease

In this thesis, Liquid extraction surface analysis (LESA) mass spectrometry has been applied for the analysis of lipids and proteins from human liver. The aim was to develop analytical methods that would ultimately be used in the study of non-alcoholic liver disease. Top-down proteomic analysis of the fatty acid binding protein identified a single amino acid substitution that is associated with non-alcoholic steatohepatitis, a potentially fatal liver disease. Bottom-up proteomics techniques resulted in over 300 proteins being detected and identified, however failed to distinguish between a single amino acid substitution. Field asymmetric ion mobility spectrometry (FAIMS) analysis was coupled with LESA to enhance the quality of intact protein mass spectra and doubled the number of proteins detected. FAIMS analysis was able to separated lipids and proteins that were extracted simultaneously as well as removing background noise. In addition to FAIMS, traveling wave ion mobility spectrometry (TWIMS) was also coupled to LESA. In addition to the separation of lipids from proteins, several lipids also showed a separation in drift. MS/MS of one of these lipids revealed that the composition of the two drift peaks differed. MALDI imaging was performed to show the isolation of specific lipid species using MS/MS and TWIMS.
Avian community composition, but not richness, differs between urban and exurban parks

Urban development alters landscape structure and available resources, potentially threatening avian diversity worldwide. However, it is unclear how bird communities respond in areas currently undergoing urban development, particularly in the non-breeding season. We examined avian communities at 8 parks in urban (within established urban matrix; >50% built cover) and 9 parks in exurban (within adjacent grassland; 5–20% built cover) areas in Sacramento County, CA. We measured bird species and abundance, conducting five line-transect surveys per park (85 total). We investigated factors influencing avian assemblage, including local habitat features (land cover, number of trees, fruiting trees and tree species, tree height and diameter at breast height, park size, park age), and landscape features (land cover within 500 m and distance to riparian habitat). Fifty bird species, including 15 migrants, were observed. Total species richness and abundance at urban and exurban parks was not significantly different, but community assemblages differed significantly. Park area positively predicted species richness. Abundance was negatively associated with inpark percent built cover, average number of fruiting trees and landscape-scale percent water cover. Species composition changes were associated with distance to riparian habitat and landscape percent grass cover for all but one exurban park; and with tree height, DBH and park and landscape percent tree cover for urban parks. The expansion of exurban areas in many parts of the world poses a significant risk for natural habitat loss. Parks in such areas should be planned to harbor some of the displaced biodiversity.
The Effect of Service Quality on the Reuse Intention of a Chatbot: Focusing on User Satisfaction, Reliability, and Immersion

: This study examined the impact of chatbot service quality (process quality, outcome quality, and servicescape quality) on user satisfaction and reliability by identifying the relationships between user satisfaction, reliability, immersion, and the paths of three variables influencing reuse intention. The survey was conducted of Korean users in their teens and 70s who had experience using chatbot services. A total of 218 convenience samples were extracted and the data analyzed. By the IS success and SERVQUAL model, the results of structural equation modeling revealed that the chatbot service quality did not affect user satisfaction and reliability. However, user satisfaction and reliability of the chatbot services were shown to lead to reuse intention, and user satisfaction was shown to affect immersion and immersion in reliability. The results showed that satisfaction, reliability, and immersion in the chatbot services were important factors in the chatbot reuse intention. Through the satisfaction and reliability gained through the service, the users wanted to reuse the chatbot services, especially the chatbot services that gained reliability, which will have a greater impact on reuse intention. We can use these results as marketing information to attract loyal customers by identifying the reuse intention of the chatbot service users.
Molecular phylogeny of the sect. Adonis (Genus adonis L., Ranunculaceae)

The ornamentally important genus Adonis L. (Ranunculaceae) consists of about 30 species. In Iran, 8 species are recognized. The new classification system recognizes two subgenera, six sections, and six series for Adonis. The species differentiation within the genus is controversial due to morphological overlaps in different species and extensive morphological variation. Therefore, the aims of present study were: 1- Species delimitation within the Sect. Adonis based on morphological and molecular evidences and, 2- Studying the species relationship based on molecular phylogeny. Multivariate analyses of morphological and molecular (ITS and ISSR) data differentiated the Adonis species. PCA biplot analysis of morphological characters revealed morphological characters such as leaf arrangement; leaf length, flower diameter, petal length and width, calyx length, and pedicel length are of taxonomic implication in Adonis. Bayesian tree of ITS sequences revealed that the sect. Adonis is differentiated from the sect. Adonanthe. Based on ITS data, A. microcarpa showed close affinity to A. scrobiculata, while A. aestivalis, A. icrocarpa and A.dentata were close to each other.
Estimation of Dew Point Temperature in Different Climates of Iran Using Support Vector Regression

The prediction of global climate change using the values recorded in a statistical period requires a precise method that can accurately identify the fluctuations of these changes. By patterning these changes, the parameter values for the years or future periods are predicted, or the statistical gap can be eliminated. In this research, meteorological data of six stations in different climates of Iran were used to model and estimate the values of the dew point temperature (DPT). The stations studied are Ahvaz, Urmia, Kerman, Gorgan, Rasht, and Babolsar. In order to estimate the DPT values, support vector regression was used, and to optimize the parameters of the support vector regression model, the ant colony algorithm was used. In this study, four different input patterns of meteorological data have been investigated as input of the support vector regression model. Pattern I with seven inputs (monthly minimum, maximum, and average air temperatures, monthly precipitation, saturation vapor pressure, actual vapor pressure and relative humidity), Pattern II with three inputs (monthly average air temperature, saturation vapor pressure, and actual vapor pressure), Pattern III with two inputs (monthly minimum and maximum air temperatures), and Pattern IV with an input (monthly average air temperature) were used. It is recommended that if the number of inputs in the model is small, the model will be more user-friendly. Based on the results of analyzing different patterns, it can be concluded, that Pattern III is the suitable pattern for estimating DPT values at the stations studied in different climates of Iran based on the three criteria of root mean square error (RMSE), Nash–Sutcliffe model efficiency coefficient (NSE), and coefficient of determination (R2). Overall, the results showed that the selected pattern increases the accuracy of the model by up to 24% compared to the conventional model.