Miracle-dz/UniFAR-FTUs huggingface dataset:
GAMIFICATION STRATEGY OF ACTIVE LEARNING IN MENTORING AMONG MILINEAL STUDENTS

Active learning allows students to control their learning style by relating it to their actual experiences. This learning model can increase student motivation and engagement in an interactive environment. However, mentoring has not been actively implemented even though mentoring is one of the important agendas for the next 20 years and in line with education 4.0, which encourages students towards active learning. The study's findings found that the gamification approach is an effective method to increase the level of involvement and motivation of students in active learning. However, gamification becomes less effective when in-depth learning is carried out, and the learning process cannot provide satisfaction to students with high levels of confidence. This group only participates for fun but does not want to socialize with other students because the core of gamification is competitive-oriented. Therefore, the objective of this study is to produce a mentoring-style gamification strategy that has collaborative and social mechanics in a soft skill learning environment to increase the participation level of less sociable students. The hypothesis of this study is to introduce learning as a more motivating experience for all levels, not just outstanding students. Student involvement in the play experience can be translated into an educational context to facilitate learning while influencing personality and behavior, including communication skills, problem-solving, self-motivation, decision-making, and time management. The methodology of this study is through exploratory research, namely, observation, activity development, and effectiveness testing to relate students' experiences in authentic learning situations. The result from this study is a mentoring-style gamification strategy that is a guide for mentors to carry out active learning mentoring activities that involve soft skills with students.
Sub-division Level Temperature Patterns and Trends Across East-Coast Industrial Corridor, India

Temperature patterns and trends influence many sectors. The newly planned industrial corridors will have to consider the variations in temperature and other climatic parameters. The present article aims to investigate the patterns and trends of maximum and minimum temperature at the Sub-division (sub-district) level. We analyse annual and seasonal temperature data from 1958 to 2018 for the India’s first east-coast corridor, the Visakhapatnam–Chennai industrial corridor (VCIC) using a combination of Getis–Ord–Gi and Mann–Kendall trend test for spatiotemporal patterns and trends. The results show domination of intensifying hot spots across the VCIC and an overall increase in both maximum and minimum temperature for annual (0.013 oC/y and 0.011 oC/y) and seasonal trends. However, the variations of pattern and trends are unambiguous within districts. There is a clear distinction in patterns and trends between southern and north-eastern districts, indicating the need for localised planning. As the industrial areas are planned at a microlevel, such studies will enable planners and decision-makers to plan and prioritise site-specific climate change adaptation and mitigation measures in industrial and urban areas.
An Improved Early Student's Academic Performance Prediction Using Deep Learning

Nowadays due to technological revolution huge amount of data is generated in every fields including education as well. Extracting the useful insights from consequential data is a very critical task. Moreover, advancement in the deep learning techniques resulted in the effective prediction and analysis of data. In our proposed study deep learning model is be used for predicting the student’s academic performance. Experiments were performed using the two courses da-ta i.e., mathematics and Portuguese course. The data set contains demograph-ic, social, educational and students course grade data. The data set suffers from the imbalance, SMOTE (synthetic minority oversampling technique) is used. We evaluate the performance of the proposed model using several fea-ture sets and evaluation measures such as precision, recall, F-score, and ac-curacy. The result showed the significance of the proposed deep learning mod-el in early prediction of the students’ academic performance. The model achieved an accuracy of 0.964 for Portuguese course data set and 0.932 using mathematics course data set. Similarly, the precision of 0.99 for Portuguese and 0.94 for mathematics.
Taking a Step Back? Expatriation Consequences on Women in Dual-Career Couples in the Gulf

This article develops our understanding of how host country contextual features affect the career coordination strategies of dual-career couples (DCCs) from the perspective of expatriate women. The lived experiences of nine women expatriates in the Gulf Cooperation Council (GCC) were explored through in-depth interviews. The findings challenge our understanding of the coordinated career strategies of DCCs by suggesting that sociocultural features of the host country context can hamper egalitarian career strategies such that they become hierarchical and subsequently negatively impact women expatriates’ career capital. Not only are women’s careers hampered while in the GCC, but the contextual setting has a long-term adverse effect on women’s career capital. The main results from this study suggest that sociocultural features of the host country setting, such as the inability to access professional networks due to gendered segregation, prevent women’s careers from being prioritised and force a ‘tipping point’, creating a lag in women’s careers and negatively impacting their career capital.
Australian women with good financial knowledge fare better in divorce

Divorce dissolves couple households, who likely specialised in household financial decision-making tasks, into singles who need to learn new skills. Financial decisions will be particularly challenging for those newly separated people that are lacking knowledge and confidence. Given the substantive literature supporting the lack of financial knowledge of women in comparison to men, women are likely to be more disadvantaged by this aspect of divorce. We employ the HILDA Survey and find support for the role of financial literacy in improving wealth outcomes in divorce, particularly for women. We find that the positive impact is significant over the long term. This research contributes to knowledge of the role of financial education in building resilience to endure financial shocks. JEL classification: D14; G53; G50; J12; J16
A pH-ciklizálás jelentősége az amelogenesisben

A zománcérés folyamatai hisztomorfológiai szinten jól ismertek, de a kristályképződés szabályozása, a háttérben állómolekuláris mechanizmusok még jórészt ismeretlenek. A szájüregi hámból származó ameloblast sejtek irányítják a zománcérést. A mátrixfehérjék szekrécióján és a zománcalkotó ásványi anyagok transzportján kívül a pH-szabályozásnak központi jelentősége van a zománcérésben, ugyanis a kristályképződés nagy mennyiségű H+ felszabadulásával jár, amely semlegesítéséhez HCO3− szekréciója szükséges. Az érési fázis alatt kiemelt fontosságú a pH-ciklizálás jelensége, melynek során a szoros sejtkapcsolatok átrendeződése is megfigyelhető. A transzport- és szabályozó folyamatok genetikai vagy környezeti sérülése (pl. dentális fluorózis) a zománc hipomineralizációjához vezet. Ezen folyamatok felderítése céljából létrehoztunk egy funkcionális in vitro modellt. Ennek központi eleme, hogy permeábilis membránra ültetett, differenciáltatott ameloblast eredetű sejtek az ameloblastokra jellemző fehérjemarkereket expresszálják, szoros kapcsolatokat alakítanak ki, funkcionális szempontból polarizáltak, és vektoriális HCO3− szekrécióra képesek. Saját kísérletes munkánk eredményei hozzájárulnak az ameloblast sejtek pH-ciklizálást elősegítő molekuláris mechanizmusának megértéséhez.
HOUSEHOLD CONSUMPTION EXPENDITURES IN TURKEY: A COMPARATIVE QUANTILE REGRESSION ANALYSIS

Consumption is one of the key concepts in economics due to its animate connections with GDP, savings, and utility. The current study aims to analyse the relationship between household consumption expenditures and some household characteristics in Turkey through Household Budget Surveys of TurkStat for the years 2002 and 2018. With the implementation of quantile regression estimations, it is shown that disposable income emerges as a very important determinant of consumption expenditures as suggested by the conventional theories of consumption. Most of the households, who intensify their savings, especially to purchase real estate, reduce their consumption levels. It is also observed that the household-heads who are single or enjoy a higher level of education spend more. Although the age of the household head is positively associated with the level of consumption in 2002, this relationship seems to be reversed in 2018. Regarding economic growth trends in the Turkish economy, such an observation might support the lifecycle theory. The households who use credit cards and online shopping are associated with a higher level of consumption expenditure compared to those who do not use these opportunities.
Determinants of Online Purchase Intention in Indonesia

This research discusses the influence of online customer experience and perceived risk on online purchase intention in Indonesia. This study has nine variables: online customer experience, product risk, financial risk, privacy risk, security risk, time risk, social risk, psychological risk, and online purchase intention, with 15 hypotheses. The sampling technique used is non-probability sampling with purposive sampling technique. Data were collected mainly by distributing questionnaires and obtained 185 respondents. Respondents must be over 17 years old and have made online purchases at e-commerce services in Indonesia. The SEM method using SPSS Statistics 24 and AMOS 22 was performed for analysis. The results show four hypotheses are supported and eleven hypotheses are not.
The Peter Day Series of Magnetic (Super)Conductors

Here, we review the different series of (super)conducting and magnetic radical salts prepared with organic donors of the tetrathiafulvalene (TTF) family and oxalato-based metal complexes (ox = oxalate = C2O42−). Although most of these radical salts have been prepared with the donor bis(ethylenedithio)tetrathiafulvalene (BEDT-TTF = ET), we also include all the salts prepared with other TTF-type donors such as tetrathiafulvalene (TTF), tetramethyl-tetrathiafulvalene (TM-TTF), bis(ethylenediseleno)tetrathiafulvalene (BEST), bis(ethylenedithio)tetraselenafulvalene (BETS) and 4,5-bis((2S)-2-hydroxypropylthio)-4′,5′-(ethylenedithio)tetrathiafulvalene (DMPET). Most of the oxalate-based complexes are monomers of the type [MIII(C2O4)3]3−, [Ge(C2O4)3]2− or [Cu(C2O4)2]2−, but we also include the reported salts with [Fe2(C2O4)5]4− dimers, [MII(H2O)2[MIII(C2O4)3]2]4− trimers and homo- or heterometallic extended 2D layers such as [MIIMIII(C2O4)3]− and [MII2(C2O4)3]2−. We will present the different structural families and their magnetic properties (such as diamagnetism, paramagnetism, antiferromagnetism, ferromagnetism and even long-range magnetic ordering) that coexist with interesting electrical properties (such as semiconductivity, metallic conductivity and even superconductivity). We will focus on the electrical and magnetic properties of the so-called Day series formulated as β″-(BEDT-TTF)4[A+MIII(C2O4)3]·G, which represents the largest family of paramagnetic metals and superconductors reported to date, with more than fifty reported examples.
Fabrication and Characterization of α-Fe2O3 Nanoparticles Dispersed Epoxy Nanocomposites

Hematite(α-Fe2O3) nanoparticles were synthesized by sol-gel process and further mixed with epoxy resin to obtain the nanocomposites. X-Ray Diffraction (XRD) and Scanning Electron Microscope (SEM) analysis revealed that α-Fe2O3 nanoparticles have an average diameter of about 30 nm, also illustrated the crystal structure and morphology of the nanomaterials. Fourier-Transform Infrared spectroscopy (FTIR) showed the functional groups that were present in α-Fe2O3 nanoparticles, neat epoxy andα-Fe2O3/epoxy nanocomposites. Vibrating Sample Magnetometer (VSM) analysis exhibits the magnetic hysteresis curve and revealed that α-Fe2O3 nanoparticles were superparamagnetic. Tensile testing was performed to obtain the tensile strength, yield strength, elongation, young modulus and required energy to deform the materials. Vickers micro-hardness test showed the surface hardness of the nanocomposites. Flexural strength also measured, which indicate the strength of nanocomposites against bending. Thermogravimetric Analysis (TGA) measurement showed the thermal properties of α-Fe2O3 nanoparticles and its influence into the epoxy matrix. UV-Vis spectroscopy was performed to obtain the optical band gap energy of the nanocomposites. DC-resistivity measurements showed a significant influence of α-Fe2O3 nanoparticles on the dc-electrical properties of the epoxy matrix.
Bacterial Communities Predominant in the Degradation of 13C-Labeled Pyrene in Red Soil

ABSTRACT The bacterial community composition using a consortium (CON) with or without methyl-β-cyclodextrin (MCD), used to bioremediate the pyrene-contaminated soil was evaluated through stable-isotope probing (SIP). Microcosms were artificially contaminated with 13C pyrene at 15 ppm, and bacterial community composition was determined over a 14-day period. After 14 days, only 29.1% of pyrene was degraded in control, while 90.6% of pyrene was degraded by the bacterial community with MCD, showing the best bioremediation rate of all treatments. After 14 days, PAH degraders became dominated by Proteobacteria. Sphingomonas and Pseudomonas were the predominant genera in all treatments, and Pseudomonas was the main degrader from the bacterial community. The bacterial community was little affected by MCD. The results indicated that the combination of the bacterial community with MCD can be used to bioremediate PAHs polluted soil.
Synthesis of Nanocomposites Based on Mesoporous Aluminosilicate and Polyethyleneimine (PEI) for siRNA Delivery: Potential Usefulness of the Synergistic Effect of Al3+ ion and PEI on the siRNA Delivery Efficiency for Diseases Treatment

Several nanocomposites based on mesoporous silica nanoparticles (MSN), aluminium ions and Polyethyleneimine (PEI) were synthesized by the combination of the sol-gel and post-synthesis methods. These nanocomposites were mainly composed of MSN with the leading of Al and PEI species alone or combination. The Al-MSN, MSN-PEI, and Al-MSN/PEI samples were characterized by using FT-IR, XRD, SEM, EDX, zeta potential, and nitrogen physisorption techniques. The potential of their RNA delivery was investigated by loading and releasing of the siRNA in the phosphate buffer. The obtained results showed that the loading capacity of each sample is directly related to its zeta potential. The Al-MSN/PEI sample showed the highest siRNA adsorption capacity due to the possessing the highest zeta potential resulted the presence of the high electric charge of Al3+ and cationic nature of PEI. Under the optimized conditions, the Al-MSN/PEI sample showed the amount of 47.19 µg adsorption of siRNA for 1.0 mg of Al-MSN/PEI. The results of releasing siRNA exhibited the yields of 12, 20.4, 29.6, and 36.0 % for MSN, MSN-PEI, Al-MSN, and Al-MSN/PEI, respectively at room temperature for 120 min.
Mapping Potential Areas for Conservation Under Forest Carbon Credit Eligibility in a Natural Protected Area in Northern Mexico

Emerging carbon markets are posing new challenges for stakeholders. In order to operationalize the selection of feasible areas to promote above-ground carbon capture and quantify its potential as claimed in the norm NMX-AA-173-SCFI-2015, a methodology may be proposed. Above-ground tree biomass geospatial estimates at the pixel level, neighboring land cover, and legal information were combined in order to obtain the potential for above-ground carbon capture. Forest above-ground tree carbon capture estimates were conducted under the assumption that forest cover in bare soil land will be recovered to the most conserved neighboring vegetation type. This approach may be used in other situations around the world where potential carbon estimates are required to design forest carbon capture projects considering native vegetation type.
A global potential energy surface for H 2 S + (X 4A′′) and quasi-classical trajectory study of the S + (4S) + H 2 (X1Σ+ g) reaction

ABSTRACT A novel global potential energy surface for H2S+(X 4 A″) based on accurate ab initio calculations is presented. Energies are calculated at the multi-reference configuration interaction level with Davidson correction using aug-cc-pVQZ basis set plus core-polarisation high-exponent d functions. A grid of 4552 points is used for the least-square fitting procedure in the frame of a many-body expansion. The topographical features of the new potential energy surface are here discussed in detail. Such a surface is then employed for dynamic studies of the S(4 S) + H2(X 1Σ+ g ) →SH+(X 3Σ−) + H(2 S) reaction using the quasi-classical trajectory method. State specific trajectories are calculated, for both ground and ro-vibrationally excited initial states of H2(X 1Σ+ g ). Corrections to the zero point energy leakage of the classical calculations are also presented. Calculated reaction cross sections and rate constants are here reported and compared with available literature.
Design and Optimization of a High-Torque-Density Low-Torque-Ripple Vernier Machine Using Ferrite Magnets for Direct-Drive Applications

In recent years, Vernier permanent magnet machines (VPMs) have gained much interest in academia. However, due to the large leakage flux, the power factor of Vernier machines is too low to be applied in real industry. In this article, a novel split-tooth, concentrated-winding Vernier machine using ferrite magnets is proposed for high-torque, low-speed direct-drive applications in home appliance industry. It uses consequent-pole magnets in the rotor, as well as additional assisted magnets in the stator teeth, in order to reduce the leakage flux and boost the torque density. A systematic way of reducing the torque ripple from 40% to 4% is proposed by carefully choosing the right combination of stator/rotor pole-pair numbers. A comprehensive design optimization is conducted to achieve the optimal performance. Finally, the ac loading is carefully reduced to meet the torque, saturation, power factor and space requirements. The test results of a prototyped machine show that the proposed design can achieve 34% more torque and 20% less loss with a reasonable power factor of 0.63, compared with an optimized PM synchronous machine under the same volume. It is found that the significant torque boost is attributed to the multiple working harmonics of the air-gap flux density.
Network sensitivity function, H∞ optimization and robust performance in dynamic average consensus

In this article, a novel sensitivity minimization approach is proposed to optimize the performance of proportional‐integral (PI) dynamic average consensus (DAC) algorithms subject to measurement noises and model uncertainties. Network sensitivity and complementary sensitivity functions are defined to characterize the effects of the reference signals and measurement noises on the tracking error, respectively. Minimization of the H∞ norms of network sensitivity and complementary sensitivity functions, describing how large the PI DAC algorithm amplifies the reference and noise signals in the worst case, are conducted to optimize the tracking performance with respect to the reference signals and measurement noises without requiring prior knowledge. Further, by studying the weighted H∞ optimization of the network sensitivity functions, necessary and sufficient conditions are provided for the PI DAC algorithm to have a good tracking performance for low‐frequency reference signals and high‐frequency measurement noises. The proposed sensitivity minimization approach is shown to be a robust approach, by considering the PI DAC algorithm in the presence of norm‐bounded additive uncertainties. The robust weighted H∞ performance specification is formulated and a sufficient condition is provided, relying on the network topology, the bound of the uncertainties, and the parameters of the DAC algorithms. A tradeoff relationship between the tracking performance and robustness is unveiled. The special case of proportional DAC algorithms is similarly discussed.
Haline Convection within a Fresh-Saline Water Interface in a Stratified Coastal Aquifer Induced by Tide

Sea-tide effects on the fresh-saline water interface (FSI) in a stratified coastal aquifer are examined through laboratory experiments. The physical model, a two-dimensional rectangular flow tank, is filled with layered aquifers and aquitards. The aquifers serve as the main entrances/exits of water to/from the system through significant horizontal flows, creating unstable conditions of heavier saline water above lighter freshwater for short periods of time. Several processes create mixing; this instability results in haline convection, creating downward fingering, stable rising of horizontal saltwater front, and unstable upward fingerings of flushing freshwater. The time lag between the sea tide fluctuations and the emergence of adequate fresh- and saltwater is higher in a stratified system compared to a homogeneous system. Furthermore, longer tide cycles lead to the enlargement of the FSI’s toe horizontal movement range. The combination of tidal forcing with a layering aquifer structure leads to a wider FSI by creating a significant salt- and freshwater mixing inside each layer, vertical flows between the layers, and saltwater bodies at isolated areas. Haline convection within the FSI might be the reason for the wider fresh-saline interfaces that are found in field studies.
Variation of filamentation phenomenon in strongly magnetized plasma with various discharge parameters

Filamentation phenomenon is one of the most important outcomes of applying a strong magnetic field to low‐pressure plasmas and dusty plasmas. In this article, the variation of filamentation phenomenon with neutral gas pressure and plasma density will be investigated using numerical simulations. It will be shown through these simulations how the formation of the filamentary patterns in the magnetized plasma results in a localized electric field structure that strongly contributes to the properties of the filamentary patterns. Based on the results of the simulations, a theoretical model is derived that relates the width of the filamentary patterns to the plasma density. The model has been successfully employed to predict the width of the patterns emerging in various simulations of the magnetized plasma.
The fourth dimension in translation: time and disposability

ABSTRACT The digital age has brought about exchange of information at unprecedented scales and speeds. Both within multilingual communities and across boundaries, translation is called upon to make information available with greater efficiency. While increasingly mature technology helps in this process, this paper argues for the discipline to put in context the translation phenomena emerging from strategies that have time taken as their prime concern. Specifically, it discusses the principle of disposability of information in determining minimum quality to be achieved as a way to systematically approach time-oriented translation methods. The discussion may have implications for how translation is practiced and understood and also represent a dimension in translation that can be further explored. Video Abstract Read the transcript Watch the video on Vimeo © 2021 Hari Venkatesan, University of Macau. Published by Informa UK Limited, trading as Taylor & Francis Group