Miracle-dz/UniFAR-FTUs huggingface dataset:
Challenge Demands and Resilience

Abstract. This study investigates the relationship of challenge demands (i. e., time pressure, job complexity) on employee resilience. We provide insights into potential pathways (i. e., learning, cognitive irritation) for how challenge stressors influence employee resilience. We employed a two-wave, time-lagged design to examine the influences of challenge stressors and explanatory pathways on employee resilience 2 months later. The data from 359 participants (52.1 % male) were analyzed using a Bayesian time-lagged path model. Results indicate that time pressure and job complexity are negatively related to employee resilience via cognitive irritation. In contrast, we found a positive, indirect effect of job complexity and resilience via learning. This paper contributes to existing employee resilience and stress research by highlighting the roles of learning and cognitive irritation to explain the relationships of challenge stressors on employee resilience. Moreover, the results provide us with a deeper understanding of which factors foster or drain employee resilience.
Green synthesis, characterization and antibacterial activity of copper nanoparticles using L-ascorbic acid as a reducing agent

Synthesis of Cu nanoparticles using chemical route offers a competitive alternative approach over the common biological and physical procedures. In this study, simple, economical, convenient and environmentally-friendly chemical reduction technique was used for the production of Cu nanoparticles from CuCl2.2H2O solution using L-ascorbic acid as reducing and capping agent. The effects of concentration of precursor salt and ascorbic acid, reaction time and reaction temperature on the synthesis of Cu nanoparticles were studied. The optical properties of the synthesized Cu nanoparticles were characterized by UV-Vis Spectroscopy while the crystallinity of synthesized Cu nanoparticles was verified with the help of X-ray diffraction analysis. The antimicrobial activity of Cu nanoparticles was determined by Agar disc diffusion method against some selected species of bacteria: two gram positive ( Staphylococcus aureus, Streptococcus pyogenes ) and two gram negative ( Escherichia coli, Pseudomonas aeruginosa ). The UV-Vis spectrum of solution of Cu nanoparticles showed a characteristic peak at 423 nm that confirms the preparation of Copper nanoparticles. Moreover, FT-IR spectroscopy was performed to detect the binding effect of ascorbic acid on Cu nanoparticles, and its result indicated that ascorbic acid could prevent oxidation and agglomeration. The findings revealed that Cu nanoparticles formed at a concentration of 3mM Cu- Cl 2 . 2H 2 O solution and 4 mM ascorbic acid exhibited an excellent zone of growth inhibition for both gram-negative and gram-positive bacteria, 16.83+0.42 and 15.50+0.89mm, respectively. Keywords : - Green synthesis, Copper nanoparticles, Chemical reduction, Optical properties, Antibacterial activity
The Roles of Social-Emotional Development, Academic Grit and Subjective Well-Being in Primary School Students’ Reading-Writing Motivation

Abstract This study aims to evaluate the roles of social-emotional development, academic grit and subjective well-being in reading-writing motivation. Altogether 582 fourth-grade primary school students were sampled and invited to complete four different scales. The findings are: (1) Social-emotional development is correlated with reading-writing motivation, academic grit and subjective well-being. (2) Academic grit and subjective well-being play full mediating role in the relationship between social-emotional development and reading-writing motivation. (3) Although social-emotional development can be high in line the proposed model, the students with low academic grit and subjective well-being might have low reading-writing motivation. Practice or Policy: The results may provide a contribution for programs that could be prepared in relation to in these fields.
Improved Ensemble-Learning Algorithm for Predictive Maintenance in the Manufacturing Process

Industrial Internet of Things (IIoT) technologies comprise sensors, devices, networks, and applications from the edge to the cloud. Recent advances in data communication and application using IIoT have streamlined predictive maintenance (PdM) for equipment maintenance and quality management in manufacturing processes. PdM is useful in fields such as device, facility, and total quality management. PdM based on cloud or edge computing has revolutionized smart manufacturing processes. To address quality management problems, herein, we develop a new calculation method that improves ensemble-learning algorithms with adaptive learning to make a boosted decision tree more intelligent. The algorithm predicts main PdM issues, such as product failure or unqualified manufacturing equipment, in advance, thus improving the machine-learning performance. Herein, semiconductor and blister packing machine data are used separately in manufacturing data analytics. The former data help in predicting yield failure in a semiconductor manufacturing process. The blister packing machine data are used to predict the product packaging quality. Experimental results indicate that the proposed method is accurate, with an area under a receiver operating characteristic curve exceeding 96%. Thus, the proposed method provides a practical approach for PDM in semiconductor manufacturing processes and blister packing machines.
Polystyrene Hybrid-Vitrimer Based on the Hemiacetal Ester Exchange Reaction

: Vitrimer materials, which are permanently cross-linked but reshapable polymers, are a class of materials of growing interest due to their potential in recycling and sustainable development. More precisely, vitrimers derived from commodity polymers could have a drastic impact on plastic consumption in the upcoming years. Here, the development of a polystyrene-based vitrimer harnessing the recently discovered hemiacetal ester exchange reaction of carboxylic acid is presented. 1,4-cyclohexanedimethanol divinyl ether was reacted with 4-vinylbenzoic acid to form a divinyl species containing two hemiacetal ester functions. This dimer was then copolymerized with styrene, butyl acrylate and 4-vinylbenzoic acid to form a cross-linked material presenting pendent acid groups. This material exhibited three distinct behaviors at different temperature regimes: below 80 °C, despite the ability of exchange reactions to occur, the cross-linked material behaved as a frozen material due to hydrogen bonding formed by carboxylic acid pendent groups. Between 80 °C and 130 °C vitrimer behavior was demonstrated by rheological creep experiments. At higher temperature, the dissociation of the hemiacetal ester groups led to the loss of the covalent cross-linking.
How Chemoresistive Sensors Can Learn from Heterogeneous Catalysis. Hints, Issues, and Perspectives

The connection between heterogeneous catalysis and chemoresistive sensors is emerging more and more clearly, as concerns the well-known case of supported noble metals nanoparticles. On the other hand, it appears that a clear connection has not been set up yet for metal oxide catalysts. In particular, the catalytic properties of several different oxides hold the promise for specifically designed gas sensors in terms of selectivity towards given classes of analytes. In this review, several well-known metal oxide catalysts will be considered by first exposing solidly established catalytic properties that emerge from related literature perusal. On this basis, existing gas-sensing applications will be discussed and related, when possible, with the obtained catalysis results. Then, further potential sensing applications will be proposed based on the affinity of the catalytic pathways and possible sensing pathways. It will appear that dialogue with heterogeneous catalysis may help workers in chemoresistive sensors to design new systems and to gain remarkable insight into the existing sensing properties, in particular by applying the approaches and techniques typical of catalysis. However, several divergence points will appear between metal oxide catalysis and gas-sensing. Nevertheless, it will be pointed out how such divergences just push to a closer exchange between the two fields by using the catalysis knowledge as a toolbox for investigating the sensing mechanisms.
Feasibility study on prepolarized surface nuclear magnetic resonance for soil moisture measurements

In the past few years, small‐scale (2 m) prepolarized surface nuclear magnetic resonance (SNMR) has gained increasing interest in the research community. As recent studies demonstrated, the application of a strong prepolarization field enhances the SNMR signal of coils with a footprint <1 m2 up to a level that even enables investigations in urban areas. In particular, it is expected that this noninvasive method provides the soil moisture distribution in the upper 2 m of the subsurface in the near future. However, until now all field experiments have been carried out on water reservoirs only, in an approach to test and implement this rather new technique into the field of SNMR applications. We present the first prepolarized SNMR measurement on a real soil and demonstrate the general feasibility of this technique to qualitatively and quantitatively detect soil moisture in the upper first 0.5 m. Our soil moisture measurements are validated by independent time domain reflectometry data. To complement the field experiments with numerical simulations, we adapted the underlying SNMR spin dynamics simulations and account for prepolarization switch‐off effects in the forward modeling of the SNMR excitation.
COMPARING ENVIRONMENTAL IMPACTS OF METAL ADDITIVE MANUFACTURING TO CONVENTIONAL MANUFACTURING

Abstract Metal additive manufacturing (AM) is revered for the design freedom it brings, but is it environmentally better or worse than conventional manufacturing? Since few direct comparisons are published, this study compared AM data from life-cycle assessment literature to conventional manufacturing data from the Granta EduPack database. The comparison included multiple printing technologies for steel, aluminum, and titanium. Results showed that metal AM had far higher CO2 footprints per kg of material processed than casting, extrusion, rolling, forging, and wire drawing, so it is usually a less sustainable choice than these. However, there were circumstances where it was a more sustainable choice, and there was significant overlap between these circumstances and aerospace industry use of metal AM. Notably, lightweight parts reducing embodied material impacts, and reducing use-phase impacts through fuel efficiency. Finally, one key finding was the irrelevance of comparing machining to AM per kg of material processed, since one is subtractive and the other is additive. Recommendations are given for future studies to use more relevant functional units to provide better comparisons.
Human–environment interactions at Yangguanzhai, a Middle Neolithic site in the Wei River Valley, northern China: A comprehensive soil‐stratigraphic analysis

Yangguanzhai, a Middle Neolithic archaeological site (c. 5500–5000 cal year BP) in the Wei River Valley of China, contains a well‐preserved record of environmental fluctuation, landscape evolution, and human–environment interaction over the Holocene. We examined eight stratigraphic profiles across the site and identified an alternating sequence of sediment and buried soils, indicative of multiple changes in landscape stability. Through this study, we provide a more detailed soil‐stratigraphic framework for the site. Buried soils are well developed, with a subangular blocky structure, high organic matter content, and pedogenic carbonate. There are clear associations between buried soils and the two main archaeological occupations (the Middle Neolithic and a later historic period occupation, c. 600–300 cal year BP). Lower soil horizons contain abundant Middle Neolithic ceramics and archaeological features, and the upper soil horizon contains historic period artifacts and features. Sediment between these soils lacks any artifacts or evidence of occupation, suggesting that Yangguanzhai was abandoned as a residential area for over 3000 years. Heightened sediment deposition and landscape instability contributed to Late Holocene shifts in human land use and settlement patterns at the site. Our work is consistent with previous stratigraphic investigations at the site, while refining descriptions of buried soil horizons.
Borrowers’ credit risk factors, perception towards repayment interventions and moral hazard in loan delinquency: an investigation of Indian microfinance institutions

ABSTRACT The study explores the borrowers’ credit risk factors, perception towards repayment interventions, and the problems of moral hazard affecting delinquency in uncollateralized loans issued by the Microfinance Institutions (MFI). It employs the partial least square structural equation modelling to develop a buyer-side perception-behavioural model for borrowers’ loan delinquency behaviour. The findings indicate that the borrowers’ perception towards MFI loan repayment interventions and group homogeneity significantly reduces the moral hazard problem leading to a lower delinquency rate. The household socio-economics characteristics also seem to have a significant association with the borrowers’ loan delinquency. Identification of borrowers’ credit risk factors and the interlinkage between borrower’s perception towards repayment interventions, group homogeneity, and moral hazard in loan delinquency can provide critical insights that MFIs can consider while disbursing uncollateralized loans to control the default risk.
Influence of Flow Coefficient On Ingress Through Turbine Rim Seals

Rim seals are critical in terms of limiting the temperature of highly-stressed engine components but function with a penalty to the power output and contribute to entropy gain stemming from mixing losses in the turbine. Ingress through rim seals is influenced by the presence of rotor blades and stator vanes, and the mainstream flow coefficient in the annulus that determines the corresponding swirl. This paper presents an experimental study of ingress upstream and downstream of the rotor disc in a 1.5-stage rig with double radial clearance rim seals. Two rotor discs were used, one with blades and one without, and two platforms were used downstream of the rotor, one with vanes and one without. Tests were conducted at two rotational speeds and a range of flow conditions was achieved by varying the annulus and sealing mass flow rates. Concentration effectiveness, swirl and steady pressure measurements separated, for the first time, the influence of the blades and vanes on ingress over a wide range of flow conditions. Measurements on the downstream stator platform provide added insight into the complex interaction between the egress and the mainstream. Measurements of unsteady pressure revealed the presence of large-scale structures, even in the absence of blades. The number and speed of the structures was shown to depend on the flow coefficient and the purge flow rate.
First-Principles Screening of All-Inorganic Lead-Free ABX3 Perovskites

In order to address an all-inorganic halide lead-free perovskite for potential photovoltaic applications, we carried out first-principles calculations of bandgaps of 260 all-inorganic halide perovskites belonging to the class ABX3, with A = Li, Na, K, Rb, Cs, B = Pb, Sn, and Ge, and X = F, Cl, Br, I. Three most common crystal symmetries were chosen, including cubic, tetragonal, and two orthorhombic phases. The bandgap exhibited increase with the decreasing of the anions radius (I, Br, Cl, F) and lowering the symmetry of the structures. With consideration of multiple factors forming perovskites, we reported three all-inorganic lead-free halides perovskites including cubic-KSnCl3, cubic-RbSnCl3, and trigonal-NaGeBr3 as candidates with desirable bandgap (1.24–1.44 eV) for photovoltaic applications.
Carceral urbanism: Reconstructing the architecture of punitive space in post-genocide Rwanda

In this article I make the argument that the prison in post-genocide Rwanda is an architectural artefact and a problem-space around which to examine the transitional dilemmas of the post-genocide period. I examine the changing punitive architecture of incarceration in Rwanda’s capital and in secondary urban areas. Looking at the space of the prison in relation to the changing city, I posit that through the penal production of space, the state reconfigures logics of punitive practices and urban governmentality. Changing logics of incarceration are evident in Rwanda today in the deconcentration of the capital, Kigali, to make way for an urban masterplanned order. In analyzing this shift in the visibility of the penal order in Rwanda over time, I contend that the prison constructs the city through its punitive and surveillance-based logic, as much as the city constitutes the prison as a spatially segregated edifice. I examine two sets of governmental spaces and practices that have run through different eras of Rwanda’s colonial, post-independence and post-genocide periods: (a) the prison and punishment, and (b) the reordering of the capital city and urban planning.
Relationship between timed online exposure and musculoskeletal health during COVID pandemic in allied health science students

Background: Musculoskeletal issues have persistently growing for students of allied health sciences with the online classes during the coronavirus disease (COVID) pandemic. To find out the relationship between timed online exposure and musculoskeletal health of allied health sciences students even though having mere basic knowledge about the cause and its prevention.Methods: Students who attended online classes in allied health science colleges were given with online questionnaire and those who volunteered to participate were included. The standardized Nordic questionnaire was used with a demographic section and no of hour’s exposure to online classes.Results: The Nordic questionnaire for cervical spine and upper extremity in 7 days exposure was found to be significant statistically and the positive response for pain was 66.3%. Conclusions: Musculoskeletal problems increased with the increase in time in front of computers /mobile phones for long hours for their classes. Further initial exposure itself causes it.
Ion-Specific and Solvent Effects on PDADMA–PSS Complexation and Multilayer Formation

Among various parameters that influence the formation of polyelectrolyte complexes and multilayers, special emphasis should be placed on ion-specific and solvent effects. In our study, we systematically examined the above-mentioned effects on poly(diallyldimethylammonium chloride) (PDADMACl)-sodium poly(4-styrenesulfonate) (NaPSS) complexation in solution and at the surface by means of dynamic light scattering, ellipsometry and atomic force microscopy measurements. As solvents, we used water and water/ethanol mixture. The obtained results confirm the importance of ion-specific and solvent effects on complexes prepared in solution, as well as on multilayers built up on a silica surface. The experiments in mixed solvent solution showed that at a higher ethanol mole fraction, the decrease in monomer titrant to titrand ratio, at which the increase in the size of complexes is observed, takes place. The difference between chloride and bromide ions was more pronounced at a higher mole fraction of ethanol and in the case of positive complex formation, suggesting that the larger amount of bromide ions could be condensed to the polycation chain. These findings are in accordance with the results we obtained for polyelectrolyte multilayers and could be helpful for designing polyelectrolyte multilayers with tuned properties needed for various applications, primarily in the field of biomedicine.
Sound Velocity of MgSiO3 Majorite Garnet up to 18 GPa and 2000 K

MgSiO3 majorite is the most significant endmember of the Al‐deficient majorite garnets that form at depths higher than ∼400 km, in the mantle transition zone (MTZ). Here, we report elastic wave velocity measurements on polycrystalline MgSiO3 majorite samples, up to 18.4 GPa and 2000 K by ultrasonic interferometry techniques combined with in situ X‐ray diffraction measurements in a multianvil apparatus. Our data show MgSiO3 majorite has the lowest elastic moduli among silicate garnet endmembers, under the pressure and temperature conditions of the MTZ. These new data combined with those of other garnet endmembers allowed to estimate VP and VS of majorite with compositions relevant to the MTZ. The results suggest that variation of MgSiO3 component in garnet may play a role for interpreting seismic gradients atop the 410‐km discontinuity while below ∼520 km, the velocity contrasts hold too low values to explain the discrepancy between mineral physics data and seismological observations.
Simulating low flows over a heterogeneous landscape in southeastern Poland

This paper presents a scheme describing low flow formation processes in areas with different environmental conditions, including the impact of the selection and explanatory power of predictors for a probabilistic model based on the Logit model. The research was carried out using 29 daily streamflow gauges located in the Lublin region of southeastern Poland for the hydrological period 1976–2018. Analysis resulted in two distinct low flow schemes. In the lowland rivers, low flows occur during the warm season and are related to evaporation exceeding precipitation. In the upland rivers, hydrogeological factors related to water levels in the local Cretaceous aquifers determine the occurrence of low flows. This differentiation affects the quality of the predictive models. For lowland rivers, models based on the climatic water balance with a monthly shift have a better fit, while these models used for upland rivers are characterized by an approximately 10% decrease in accuracy. For upland rivers, the combined CtHt models without shifts produce the best model fit. The generalized precision of the Logit models is around 80%–90%.
Distribution, phenology, and land cover preference risk assessments of four South-Central US milkweeds (Asclepias spp.) important for monarch butterflies

South-Central US milkweeds (Asclepias spp.) are critical adult nectar and larval food resources for producing the first spring and last summer/fall generations of declining eastern migratory monarch butterflies (Danaus plexippus). MaxEnt niche models were developed for North American ranges of four important South-Central US milkweeds: Asclepias asperula ssp. capricornu, A. viridis, A. oenotheroides, and A. latifolia. Twelve models per species utilized subsets of six to eight of 95 edapho-topo-climatic variables chosen by a random subset feature selection algorithm. Milkweed weekly phenology was compared between early and late season periods of monarch activity. Novel land cover preference risk assessments were developed for milkweeds through land cover utilization-availability analyses, incorporating a novel sample bias reduction method for citizen science data before calculation of relativized electivity index (E*) land cover preference. Asclepias a. ssp. capricornu and A. viridis occurred more frequently during early season monarch activity, while A. oenotheroides and A. latifolia occurred more frequently during late season monarch activity. Milkweed utilization of roadsides varied from 6–31%. Developed-Open Space and Grassland Herbaceous land classes generally had highest benefit among milkweeds. Cultivated Crops and Shrub/Scrub had high risk. Combined milkweed high Ei* kernel density estimation surfaces resolved interior and coastal corridors of milkweed land cover preference providing functional connectivity for the monarch spring and fall migrations. A potentially critical gap in milkweed land cover benefit connectivity was identified in South Texas. Milkweed land cover preference risk assessments can be used to prioritize milkweed habitat conservation for enhancing monarch migration connectivity across the South-Central US.