Miracle-dz/UniFAR-FTUs huggingface dataset:
The nexus between Basel capital requirements, risk-taking and profitability: what about emerging economies?

Abstract The study examines the nexus between Basel capital requirements, banking sector risk-taking, and profitability in Asian emerging markets by using dynamic panel GMM methodology. The findings of the study suggest that regulatory capital positively affects risk-taking which validates the “regulatory hypothesis. ” The findings also reveal that regulatory capital positively while risk negatively affects the profitability in the banking sector. The current study finds the bidirectional causality between the regulatory capital and risk-taking, implying that banks with higher capital ratios are expected to increase in risk-taking and vice versa. The findings also suggest that managerial ownership positively affects while foreign ownership negatively impacts risk-taking consistent with the agency theory of corporate governance. The study proposes that ownership structure has a significant influence on bank risk and profitability, however, the combined impact of regulatory capital through its interaction with the ownership structure is not proved to be significant.
Characterization and comparison of photocatalytic activities of prepared TiO2/graphene nanocomposites using titanium butoxide and TiO2 via microwave irradiation method

Photocatalysis based on TiO2 nanostructures with nanoscale hybridization of graphene, is a promising method to create highly conductive composite materials and surfaces with enhanced light absorption. In this study, graphite-oxide (GO) was produced by improved Hummers’ method followed by synthesis of TiO2/graphene nanocomposites. We used two precursors, titanium butoxide (TBO) and commercial TiO2, to produce nanocomposites in a mixture of water/ethanol and graphene-oxide, for hydrolysis of titania precursors on graphene-oxide sheets resulting in the formation of nanocomposites. Microwave irradiation is used to reduce graphene-oxide into graphene. TiO2/graphene nanocomposites in both cases demonstrate enhancement of overall photocatalytic activity compared with titania precursors which was examined by degradation of methylene blue (MB). In this study, nanocomposites were synthesized with different mass ratios of GO compare to titania precursors (i.e. GO: 1, 5 and 8 wt%). Photocatalytic performance increased with the increasing content of graphene in both cases. The reduction rate of MB for TiO2 was 62% and for TiO2/graphene (TiO2/G) (GO: 8 wt%) was 85% after 90 min, and for TBO and TBO/G (GO: 8 wt%) was 3% and 99.95%, respectively. SEM, XRD, Fourier transform infrared and UV–vis spectroscopy were used to characterize the synthesized nanocomposites. FTIR analysis demonstrates the formation of Ti–O–C bonds and confirms the formation of nanocomposites made of graphene and titania nanoparticles.
Interaction de physisorption d'une molécule de dihydrogène avec une surface métallique

Cette these porte sur l’etude de l’adsorption d’une molecule de dihydrogene sur differentes surfaces metalliques et plus particulierement de la physisorption du dihydrogene sur des surfaces d’argent et de cuivre. Ce type d’adsorption met en jeu des interactions faibles de type van der Waals et se deroule relativement loin de la surface. A ce jour, la modelisation precise de ces systemes (molecule physisorbee sur un metal) reste un defi. Deux types d’approches permettent d’obtenir une surface d’energie potentielle. La premiere consiste a modeliser la surface metallique par un cluster et a utiliser des methodes de calcul hautement correlees et la seconde a considerer la periodicite de la surface et a utiliser la theorie de la fonctionnelle de la densite. Notre objectif etait de coupler ces deux approches, qui ont chacune leurs avantages et leurs inconvenients, en utilisant une methode d’incorporation. Nous avons utilise le code VASP et la fonctionnelle vdW-DF2 pour obtenir une surface d’energie potentielle considerant 5 des 6 degres de liberte de la molecule de dihydrogene au dessus des differentes surfaces. Les caracteristiques de ces potentiels nous ont permis de reduire l’etude a 2 degres de liberte (l’altitude du dihydrogene et sa rotation dans un plan perpendiculaire a la surface) pour l’approche par les clusters, qui a ete realisee avec le code MOLPRO. Nous avons compare les donnees experimentales et calculees afin de tester l’exactitude de la surface d’energie potentielle. Pour cela, nous avons calcule les niveaux d’energie ro-vibrationnelle de la molecule H2 physisorbee sur les differentes surfaces, en utilisant les differents potentiels 2D et nous les avons compares avec les donnees des experiences de spectroscopie par perte d’energie electronique. Pour les systemes a dimension reduite, les niveaux d’energie ro-vibrationnelle ont ete obtenus en diagonalisant l’Hamiltonien nucleaire et en faisant une dynamique quantique par la methode de Splitting. Pour simuler le spectre ro-vibrationnel, nous avons calcule la fonction de moment dipolaire du systeme suivant son orientation, par la methode des champs finis avec des methodes de calcul hautement correlees. Le potentiel d’incorporation donne les resultats les plus proches de l’experience pour les systemes Cu(100)/H2 et Ag(100)/H2. En revanche, pour le systeme Ag(111)/H2 c’est le potentiel obtenu en modelisant la surface par un cluster qui donne les meilleurs resultats
Heritage hotels and customer experience: a text mining analysis of online reviews

In business, online reviews have an economic impact on firm performance. Customers’ data in the form of online reviews was used to understand the appreciation and service complaints written by previous customers. The study is an analysis of the online reviews written by the customers about Indian heritage hotels. This study aims to understand the dimensions of service appreciation and service complaints by comparing positive- and negative-rated reviews and find the patterns in the determinants of the satisfaction and dissatisfaction of the customers. ,A total of 23,643 online reviews about heritage hotels were collected from the TripAdvisor website by using a Web crawler developed in Python. A total of 1000 reviews were randomly selected for further analysis to eliminate the bandwagon effect. Unsupervised text mining techniques were used to analyze reviews and find out the interesting patterns in text data. ,Based on Herzberg two-factor theory, this study found satisfied and dissatisfied determinants separately. The study revealed some common categories discussed by satisfied and dissatisfied customers. The factors which satisfy the customers may also dissatisfy the customers if not delivered properly. Satisfied customers mentioned about tangible features of the hotel stay, which includes physical signifiers, traditional services, staff behavior and professionalism and core products (rooms, food). However, most of the customers complained about intangible service problems, such as staff attitude, services failure, issues with reservation and food, value for money and room condition. The results are contradicting with commercial hotels-based studies owing to the unique services provided by heritage hotels. ,The dimensions for satisfaction and dissatisfaction among customer of heritage hotels provide marketers to understand the real emotion and perception of the customers. As these dimensions were extracted through text mining of the reviews written by the customer of heritage hotels, the results would certainly give better insights to the hotel marketers. ,The study is a rare attempt to study online reviews of customers on heritage hotels through a text mining approach and find the patterns in the behavior and the determinants of satisfaction and dissatisfaction of customers.
Design Indoor FM Communication Based on SDR and GNU Radio Using Validated Spectrum Analyzer

The number of software in the telecommunications world allows us to make an FM simulation, one of the software is GNU Radio. This paper will explain FM communication simulations that use a guide between GNU Radio and RTL-SDR and are validated using a spectrum analyzer. The simulation is carried out twice, the first simulation tests the SDR transmit which will be tested in the simulation to be carried out in the GNU Radio worksheet. The second simulation tests an SDR receiver that uses a frequency of 100.3 MHz. Validation is done at a distance of ± 1 meter using a spectrum analyzer connected to the antenna and will receive frequencies of 60,65,70,75 and 80 MHz which will be compared with GNU Radio readings. The parameters to be used are signal to noise ratio (SNR) and beam power. From the results of the first simulation study using GNU Radio worksheets obtained the value of the emission power of -12.4 dBm and the second simulation obtained a value of -12.87. While the validation results show that the value obtained is the accuracy of 99.5% on the measurement of the transmitter’s power value while the signal to noise ratio of 99.78%.
Disinhibisi Online sebagai Mediator Hubungan antara Kebingungan Identitas dan Cyberbullying pada Remaja

Cyberbullying behavior utilized the use of digital technology and the internet as a medium for bullying. The purpose of this study was to examine the function of online disinhibition as a mediator of the relationship between identity confusion and cyberbullying in adolescents. Participants in the study were 12 to 15 years old or adolescents, which consisted of 151 men and 196 women. Data collection was performed using 3 scales namely the Cyberbullying Behavior Scale, the identity confusion scale, and the online disinhibition scale. The data obtained were tested using regression analysis with mediator variable with the help of IBM SPSS Statistics 21.0. The results showed that there was an effect of online disinhibition mediation on the relationship of identity confusion with cyberbullying. The result of MacKinnon analysis shows that the direct effect gives a bigger effect than the indirect effect.The results of the additional analysis show that males do more cyberbullying behavior; the higher the duration of internet and social media use, the more cyberbullying behavior that will be carried out by adolescents. These results indicated that adolescents and cyberbullying have many factors that required further research.Keywords: Cyberbullying, online disinhibition, identity confusion, adolescents Abstrak: Perilaku cyberbullying memanfaatkan penggunaan teknologi digital dan internet sebagai media untuk melakukan aksi bullying. Tujuan dari penelitian ini adalah untuk menguji fungsi disinhibisi online sebagai mediator hubungan antara kebingungan identitas dan cyberbullying pada remaja. Partisipan dalam penelitian berusia 12 sampai dengan 15 tahun atau remaja yang terdiri dari 151 laki-laki dan 196 perempuan. Pengumpulan data dilakukan menggunakan 3 skala yaitu Skala Perilaku Cyberbullying, Skala kebingungan identitas, dan Skala disinhibisi online. Data yang diperoleh diuji menggunakan analisis regresi dengan melibatkan variabel mediator dengan bantuan IBM SPSS Statistics 21.0. Hasil penelitian menunjukkan bahwa ada pengaruh mediasi disinhibisi online pada hubungan kebingungan identitas dengan cyberbullying. Perhitungan peranan menggunakan MacKinnon diperoleh hasil bahwa efek langsung memberikan peran lebih besar dibandingkan efek tidak langsung. Hasil analisis tambahan menunjukkan bahwa laki-laki lebih banyak melakukan perilaku cyberbullying; semakin tinggi durasi penggunaan internet dan sosial media semakin banyak pula perilaku cyberbullying yang akan dilakukan remaja. Hasil ini menunjukkan bahwa remaja dan cyberbullying memiliki banyak faktor yang memerlukan penelitian lanjutan.
Digital Marketing Model Innovation and Generation Z as Consumer Decision-Making Style. Making predictions with an Artificial Neural Network, in México

This research aims to assess the predictive capabilities between the Digital Marketing Model Innovation (DMMI), based on the Oslo Manual 4th ed., and the Consumer Decision-Making Style (CDMS) model. The methodology involved an artificial neural network based on SPSS software to analyze data collected from 400 young Mexican students (Generation Z) belonging to ten local Guadalajara city universities from January to June 2019. The above mentioned are essential for several organizations interested in recognizing how to collect and measure innovation data of DMMI related to different CDMS internet behavior to increase competitiveness. The results suggest improvements on each one of the strategic relationships at the DMMI-CDMS model. Such improvements involving a high prediction level based on Multilayer Perceptron (MLP) as a predictive neural network on different variables compared with a Binary Logistic Regression (BLR) to assess and explain the scope of such predictions of the DMMI-CDMS model
Real-Time Implementation of Randomized Model Predictive Control for Autonomous Driving

Model predictive control (MPC) using randomized optimization is expected to solve different control problems. However, it still faces various challenges for real-world applications. This paper attempts to solve those challenges and demonstrates a successful implementation of randomized MPC on the autonomous driving using a radio-controlled (RC) car. First of all, a sample generation technique in the frequency domain is discussed. This prevents undesirable randomness which affect the smoothness of the steering operation. Second, the proposed randomized MPC is implemented on a Graphics Processing Unit (GPU). The expected GPU acceleration in calculation speed at various problem sizes is also presented. The results show the improved control performance and computational speed that was not achievable using CPU based implementation. Besides, the selection of parameters for randomized MPC is discussed. The usefulness of the proposed scheme is demonstrated by both simulation and experiments. In the experiments, a 1/10 model RC car is used for collision avoidance task by autonomous driving.
Domain structures and magnetoelectric effects in multiferroic nanostructures

Multiferroic nanostructures have been attracting tremendous attention not only for novel phenomena associated with fundamental physics, but also due to exciting application potentials in future nanoelectronic devices. In this mini-review, we first introduce several fabrication techniques recently developed for single phase and composite multiferroic nanostructures. Then, the topologic vortex domain structures in various ferroic nanostructures, which may bring about additional fundamental discoveries and applications in ultrahigh density recording, are discussed. Particular attention is paid to magnetoelectric effects in multiferroic nanodots, including room temperature electric field induced magnetic domain switching. Finally, existing challenges and new directions, e.g., cross-couplings among multiple functionalities, are prospected. We genuinely hope that this mini-review will arouse the readers’ interest in this fascinating field.
Selection of relays based on the classification of mobility‐type and localized network metrics in the Internet of Vehicles

The ever increasing amount of connected mobile devices and users in the Internet of vehicles and the fact bicycles, electric scooters and users' smartphones are also connected poses a real challenge in terms of ensuring quality of service. The constantly changing topology due to the high‐mobility of devices and users greatly impacts its stability and the connectivity of devices. Furthermore, to ensure safety of people in the case of autonomous vehicles it is of paramount importance to ensure excellent reliability. This is why we have developed a solution that is based on machine learning to classify devices according to their mobility profile and that uses a scoring system to select the best candidates to act as mobile relays amongst devices with a suitable mobility profile. The scoring system allows to find critical locations in terms of user density. This solution does not require a dedicated infrastructure such as road side units. Simulations results will show the proposed solution increases the packet delivery ratio by up to 6%, reduces the energy consumption by up to 30% and increases the efficiency of bandwidth usage without sacrificing the end delay of users and devices compared with the state‐of‐the‐art.
Structural and electronic properties of nickel doped cobalt oxide electrode for supercapacitors: A first principle study

On the basis of ab initio calculation, we reported the structural and electronic properties of the nickel (Ni) substitution on the cobalt oxide (Co3O4) to produce nickel cobaltite (NiCo2O4) using generalized gradient approximation + U parameter (GGA + U) calculation method. The spinel NiCo2O4 with half-metallic behaviour has a relatively small band gap ∼0.64eV which is spotted decreased from pure Co3O4 band gap 1.26eV. This is due to nickel doping decreased the band gap which also implies that an increase in electrical conductivity. Owing to good electrical conductivity, NiCo2O4 thus enables to be considered for application in supercapacitor. Analysis of the partial density of states (PDOS) shows the differences contributions of cobalt (Co) at the tetrahedral site (Td) and Ni at the conduction bands: Co(Td) ions not affected the majority spin which is in contrast with Ni ions.
Spatial heterogeneity in soil pyrogenic carbon mediates tree growth and physiology following wildfire

Pyrogenic carbon (PyC) is a ubiquitous legacy of wildfire in terrestrial soils, yet how it affects the growth and function of regenerating plants has received little research attention. We examined responses to a natural gradient of PyC deposition 5 years following a severe fire in a northern boreal forest, based on measurements of growth (height, basal area increment and leader extension), physiological performance (Fv/Fm) and foliar nutrition (C, N, P, K, Mg) of Pinus banksiana Lamb. We determined the concentration of PyC, expressed as a dosage (t/ha, in mineral soils collected from the rootzones of each sapling and used it as an independent factor to model trait responses to increasing PyC levels, in conjunction with measurements of soil physio‐chemical properties (pH, EC, VOC, Ash, N, P, K, Ca and Mg). Quantification and spatial analysis of PyC reveals heterogeneous deposition across the landscape with fine‐grained patchiness at scales <0.5 m. In response to this heterogeneity, phenotypic and nutritional adjustments followed dose‐dependent response patterns. Beneficial effects of PyC on sapling growth occurred to an optimum point of ~30–60 t/ha, while declining patterns were found for trees in dosages exceeding 100 t/ha. Some traits were positively and negatively related to soil K and N, respectively, and shared strong negative associations with soil pH and volatile matter. Synthesis. This study supports the longstanding hypothesis that soil PyC enhances growth and physiological function of fire‐adapted plants, but indicates that responses are highly dosage‐dependent, with natural levels of PyC deposition commonly exceeding an optimum point. These results also suggest that the main mechanisms for observed responses to PyC include: (a) enhanced supply of base cations, (b) immobilization of N and (c) pronounced liming. Future changes in climate are expected to increase fire frequency, particularly in circumpolar boreal forests. We predict shifts in PyC to frequently exceed the threshold resulting in reduced plant growth and ultimately ecosystem productivity.
Coupled effect of curved surface and interface on stress state of wrinkled thin film coating at the nanoscale

In this paper, we present the model of continuum mechanics for an analysis of the size‐dependent elastic state of the wrinkled thin film coating with the nanosized thickness. For this purpose, we formulate the two‐dimensional boundary value problem for the film‐on‐substrate system under plane strain conditions in terms of the complex variable. To analyse the effect of surface and interface elasticity, the surface and interphase domains are modelled as negligibly thin layers adhering to the bulk phases without slipping. The algorithm of deriving the expressions for the stress tensor components in the first‐order approximation of the boundary perturbation method is described. Based on this algorithm, the influence of the size of the wrinkles, film‐to‐substrate stiffness ratio and film thickness on the stress concentration in the film is examined.
A Contactless Measurement Instrument Based on Fusion of A Single-Point Laser Range Finder and A VIO System

To improve the safety and convenience of the traditional measurement instruments (such as Total station, Laser tracker), while reducing the system cost, a contactless measurement instrument consists of a single-point laser range finder (LRF) and a tracking module (a VIO system providing the measurement system 6DoF poses) is proposed in this paper. Its measuring procedure includes three steps: 1) Obtain the calibrated relative position parameters from a 3D position of the LRF. 2) Determine the remote target 3D point positions by fusing the measurement value of LRF. 3) In order to improve measurement accuracy, design a practical case-specific framework by analysing two typical measurement situations. This allows us to measure all scale factor information such as distance, height and clearance of a spatial structure in a convenient or portable way. Through the remote 3D point positions estimation experiment, the contactless measurement instrument exhibits the capability to satisfy the need of majority measurement applications for indoor architecture.
Time to collaborate: How time influences value creation for a nonprofit collective

Abstract This case study set out to investigate value definition in a cross-sector collective focused on strengthening nonprofit services. Moore’s public value concept is used to examine how participants defined and constructed collaborative value, and a critical and pragmatic lens based on Flyvbjerg’s phronetic science was employed, surfacing findings not initially anticipated. Time emerged as a significant factor shaping collective public value efforts. Temporal structures influenced public problems the collective sought to address as well as problem definitions. Temporal challenges generated administrative concerns and service instability presenting both practical and theoretical implications related to collective impact.
Online problem based learning (OPBL) assisted by simulation media in basic physics learning to improve creative thinking skills

One of the lessons that have been affected by COVID19 is learning physics at every level of education, where physics learning which is usually done in person is converted into online. In learning physics at educational universities, it is expected to produce science teachers who can think creatively like scientists. The purpose of this study was to see an increase in students' creative thinking skills using Online Probleme Based Learning (OPBL) learning with the help of simulations. This study used a one-group pretest-posttest design. Analysis of research data by comparing scores of students' pre-test and post-test. From the data analysis, it was obtained that the average normalized gain score creative thinking skills was 0.78 with the high category. While on each activity indicator creative thinking skills are also in the high category, namely questioning skills of 0.88, guessing cause and effect 0.80, guessing the cause of an event 0.78, and improving the output of 0.87. So it can be concluded that OPBL with the help of simulation media can improve students' creative thinking skills with the high category