Miracle-dz/UniFAR-FTUs huggingface dataset:
Luminescence Properties of Redispersible Tb3+‐Doped GdPO4 Nanoparticles Prepared by an Ethylene Glycol Route

Nanoparticles of Tb 3+ -doped GdPO 4 (Tb 3+ = 0, 2, 5, 7, 10, and 20 atom-%) have been prepared at a relatively low temperature of 160 °C in ethylene glycol medium. The particles crystallize in a monoclinic structure with an average crystallite size of 30-50 nm. From the luminescence study of Tb 3+ -doped GdP0 4 , the magnetic dipole transition ( 5 D 4 → 7 F 5 ) at 545 nm (green) was found to be more prominent than the electric dipole transition ( 5 D 4 → 7 F 6 ) at 484 nm (blue). Maximum luminescence intensity and lifetime was observed for 7 atom-% Tb 3+ . Above 7 atom-% Tb 3+ , a decrease in luminescence was observed. This has been attributed to a concentration-quenching effect due to the cross-relaxation among Tb 3+ ions. The highest luminescence intensity of Tb 3+ was observed after excitation at 274 nm ( 8 S 7/2 → 6 I 11/2 of Gd 3+ ) among various excitation wavelengths (including f-f absorptions of Tb 3+ ). This is due to an efficient transfer of energy from Gd 3+ to Tb 3+ that shows GdPO 4 to be a potential host for Tb 3+ . These nanoparticles are found to be redispersible in water and ethanol and are incorporated into polyvinyl alcohol film homogeneously. This film showed bright green emission.
Factors Affecting Activity-Based Costing Adoption in Autonomous Public Universities in Vietnam

The main aim of the present study is to investigate the factors that are considered affecting the adoption of Activity-Based Costing (ABC) in the autonomous public universities in Vietnam. A quantitative research was carried out. The data was collected through an online questionnaire survey between June 2020 and September 2020 addressed to the target respondents comprising 168 managers and accountants from 23 autonomous public universities in Vietnam, which participated in the resolution project No. 77/NQ-CP of the Vietnamese government on the pilot renovation of operational mechanisms of public tertiary education institutions during the period of four years, from 2014 to 2017. The findings resulted from hypothesis testing by a binary regression analysis based on the SPSS 20.0 software show that training, competition, support of top manager, and university size are the four main factors that positively affect the adoption of Activity-Based Costing (ABC) in studied universities. On the other hand, no statistically significant impact was found on two other variables, namely the variety of services provided and the usefulness of cost information factors. From the research results, discussions and policy recommendations have been presented to promote the adoption of Activity-Based Costing (ABC) in Vietnamese autonomous public universities in the coming time.
Research of PVDF Energy Harvester Cantilever Parameters for Experimental Model Realization

Piezoelectric energy harvesters have been extensively researched for use with wireless sensors or low power consumption electronic devices. Most of the piezoelectric energy harvesters cannot generate enough power for potential applications. In this study, we explore the parameters, including gap and proof mass, that can affect the damping of the cantilever to optimize the design of the energy harvester. A finite analysis is conducted using COMSOL Multiphysics software. Usually, this type of simulation is performed using the loss factor. However, it is known that results from the loss factor produce models that do not fit the experimental data well. In fact, the result of output voltage using the loss factor is 50% higher than the real value, which is due to ignoring the adverse effect of a superimposing mechanical damping of different constituent materials. In order to build a true model, Rayleigh damping coefficients are measured to use in a simulation. This resulted in a closer fit of modeling and experimental data, and a 5 times better output voltage from the optimized energy harvester compared with using the smallest gap and mass.
Neutrophil extracellular traps are not produced in pediatric patients with one-lung ventilation: a prospective, single-center, observational study

Background One-lung ventilation (OLV) may cause lung injury and induce pulmonary pro-inflammation; this ventilator-induced lung injury is associated with neutrophil infiltration. The infiltrated neutrophils release neutrophil extracellular traps (NETs), which are associated with tissue damage. It is not known whether NETs are involved in the pathogenesis of one-lung injury and if they could be a potential therapeutic target. In the present study, we quantified NETs in bronchoalveolar lavage fluid from pediatric patients who underwent OLV and assessed their relationship with prognosis. Methods Eighteen patients with congenital pulmonary cysts or pulmonary sequestration were enrolled in this prospective monocentric study. Myeloperoxidase (MPO) levels, NET markers [i.e., citrullinated histone-3 (CH-3) and free double-stranded DNA (dsDNA)], and inflammatory cytokine levels in bronchoalveolar lavage fluid were assessed. Continuous variables were compared using the paired t-test. The association of NET concentration in bronchoalveolar lavage fluid and clinical parameters was assessed using linear regression analyses. Results dsDNA concentration in bronchoalveolar lavage fluid was higher after OLV than before OLV in both the affected lung (0.23±0.30 vs. 0.97±1.05, P<0.05) and the healthy lung (0.28±0.19 vs. 2.45±2.23, P<0.05). However, there were no significant differences in concentrations of MPO, CH-3, and inflammatory cytokines before and after OLV. Serum interleukin (IL)-6 concentration was higher after OLV than before (t=–3.222, P=0.007). Moreover, no associations between dsDNA concentration in bronchoalveolar lavage fluid and the duration of postoperative mechanical ventilation, postoperative hospital stay, and chest high-resolution computed tomography score were observed. The durations of OLV, anesthesia, and operation, as well as the amount of blood loss, had no significant influence on postoperative dsDNA concentration in bronchoalveolar lavage fluid. Conclusions NETs in bronchoalveolar lavage fluid are not involved in patients who undergo OLV.
Dynamics and Instabilities of Collapsed Polymers in Shear Flow

The dynamics of collapsed polymers in shear flow is very different from that of sheared polymers in good or Θ-solvent solvents, because cohesive attraction between monomers opposes hydrodynamic drag forces. Using hydrodynamic simulations and scaling arguments, we show that a polymeric globule displays a well-defined stretching transition at a threshold shear rate γ*. Below this critical shear rate, the chain remains in a slightly deformed but compact state, while for shear rates larger than γ* the globule undergoes periodic unfolding−refolding cycles. The mechanism for this shear-induced instability is associated with the presence of thermally excited polymeric protrusions and thus very different from the classical scenario of hydrodynamic instabilities at the interface between two viscous liquids. In fact, it turns out that the critical shear rate depends sensitively on temperature and on the microscopic cutoff length scale, i.e., the monomer size. Our results demonstrate that proper inclusion of hydro.
Student-led sustainability transformations: employing realist evaluation to open the black box of learning in a Challenge Lab curriculum

Purpose While sustainability-oriented education is increasingly placing importance on engaging students in inter- and transdisciplinary learning processes with societal actors and authentic challenges in the centre, little research attends to how and what students learn in such educational initiatives. This paper aims to address this by opening the “black box” of learning in a Challenge Lab curriculum with transformational sustainability ambitions. Design/methodology/approach Realist evaluation was used as an analytical frame that takes social context into account to unpack learning mechanisms and associated learning outcomes. A socio-cultural perspective on learning was adopted, and ethnographic methods, including interviews and observations, were used. Findings Three context-mechanism-outcome (CMO) configurations were identified, capturing what students placed value and emphasis on when developing capabilities for leading sustainability transformations: engaging with complex “in-between” sustainability challenges in society with stakeholders across sectors and perspectives; navigating purposeful and transformative change via backcasting; and “whole-person” learning from the inside-out as an identity-shaping process, guided by personal values. Practical implications The findings of this paper can inform the design, development, evaluation and comparison of similar educational initiatives across institutions, while leaving room for contextual negotiation and adjustment. Originality/value This paper delineates and discusses important learning mechanisms and outcomes when students act as co-creators of knowledge in a sustainability-oriented educational initiative, working with authentic challenges together with societal actors.
Assessing the Quality of Regional Climate Information

There are now a plethora of data, models, and approaches available to produce regional and local climate information intended to inform adaptation to a changing climate. There is, however, no framework to assess the quality of these data, models, and approaches that takes into account the issues that arise when this information is produced. An evaluation of the quality of regional climate information is a fundamental requirement for its appropriate application in societal decision-making. Here, an analytical framework is constructed for the quality assessment of science-based statements and estimates about future climate. This framework targets statements that project local and regional climate at decadal and longer time scales. After identifying the main issues with evaluating and presenting regional climate information, it is argued that it is helpful to consider the quality of statements about future climate in terms of 1) the type of evidence and 2) the relationship between the evidence and the statement. This distinction not only provides a more targeted framework for quality, but also shows how certain evidential standards can change as a function of the statement under consideration. The key dimensions to assess regional climate information quality are diversity, completeness, theory, adequacy for purpose, and transparency. This framework is exemplified using two research papers that provide regional climate information and the implications of the framework are explored.
In situ chemical and structural investigations of the oxidation of Ge(001) substrates by atomic oxygen

The exposure of Ge(001) substrates to atomic oxygen was studied in situ to establish the stability of the germanium oxide. After preparing chemically clean and atomically flat Ge(001) surfaces, the Ge samples were exposed to atomic oxygen in a wide temperature range from room temperature to 400°C. The chemical composition of the so-formed oxides was studied by means of x-ray photoelectron spectroscopy, while the structure was observed by reflection high energy electron diffraction. At low substrate temperatures the atomic oxygen is efficiently chemisorbed and suboxides coexist with the dioxide, which in turn is remarkably promoted in the high temperature range.
A lattice Boltzmann modeling of viscoelastic drops’ deformation and breakup in simple shear flows

The deformation and breakup of viscoelastic drops in simple shear flows of Newtonian liquids are studied numerically. Our three-dimensional numerical scheme, extended from our previous two-dimensional algorithm, employs a diffusive-interface lattice Boltzmann method together with a lattice advection–diffusion scheme, the former to model the macroscopic hydrodynamic equations for multiphase fluids and the latter to describe the polymer dynamics modeled by the Oldroyd-B constitutive model. A block-structured adaptive mesh refinement technique is implemented to reduce the computational cost. The multiphase model is validated by a simulation of Newtonian drop deformation and breakup under an unconfined steady shear, while the coupled algorithm is validated by simulating viscoelastic drop deformation in the shear flow of a Newtonian matrix. The results agree with the available numerical and experimental results from the literature. We quantify the drop response by changing the polymer relaxation time λ and the concentration of the polymer c. The viscoelasticity in the drop phase suppresses the drop deformation, and the steady-state drop deformation parameter D exhibits a non-monotonic behavior with the increase in Deborah number De (increase in λ) at a fixed capillary number Ca. This is explained by the two distribution modes of the polymeric elastic stresses that depend on the polymer relaxation time. As the concentration of the polymer c increases, the degree of suppression of deformation becomes stronger and the transient result of D displays an overshoot. The critical capillary number for unconfined drop breakup increases due to the inhibitive effects of viscoelasticity. Different distribution modes of elastic stresses are reported for different De.
Chemical Oxidation of Iron Sulfide Minerals for Metals Recovery

A greal deal of effort has been directed towards the development of economically and technically feasible processes for the chemical oxidation of iron sulfides. Such processes applied commercially or under active development, including roasting, and sulfate-, nitrate-, chloride- and alkaline-based aqueous oxidation processes, are outlined in this paper.
Crash Risk Assessment for Heterogeneity Traffic and Different Vehicle-Following Patterns Using Microscopic Traffic Flow Data

This paper investigates the impacts of heavy vehicles (HV) on speed variation and assesses the rear-end crash risk for four vehicle-following patterns in a heterogeneous traffic flow condition using three surrogate safety measures: speed variation, time-to-collision (TTC), and deceleration rate to avoid a crash (DRAC). A video-based data collection approach was employed to collect the speed of each individual vehicle and vehicle-following headway; a total of 3859 vehicle-following pairs were identified. Binary logistic regression modeling was employed to assess the impacts of HV percentage on crash risk. TTCs and DRACs were calculated based on the collected traffic flow data. Analytical models were developed to estimate the minimum safe vehicle-following headways for the four vehicle-following patterns. Field data revealed that the variation of speed first increased with HV percentage and reached the maximum when HV percentage was at around 0.35; then, it displayed a decreasing trend with HV percentage. Binary logistic regression modeling results suggest that a high risk of rear-end collision is expected when HV percentage is between 0.19 and 0.5; while, when HV percentage is either below 0.19 or exceed 0.5, a low risk of rear-end collision is anticipated. Analytical modeling results show that the passenger car (PC)-HV vehicle-following pattern requires the largest minimum safe space headway, followed by HV-HV, PC-PC, and HV-PC vehicle-following patterns. Findings from this research present insights to transportation engineers regarding the development of crash mitigation strategies and have the potential to advance the design of real-time in-vehicle forward collision warnings to minimize the risk of rear-end crash.
Varroa destructor (Mesostigmata: Varroidae) electrophysiological activity towards common yarrow (Asteraceae) essential oil and its components

Abstract Essential oils produced by plants are a rich source of metabolites that can have toxic or behaviour-modifying effects on arthropods. Some essential oils have shown promise in management of the mite Varroa destructor Anderson and Trueman (Mesostigmata: Varroidae), a parasite of western honey bees, Apis mellifera Linnaeus (Hymenoptera: Apidae). Essential oil and its components from common yarrow, Achillea millefolium Linnaeus (Asteraceae), are reported to have both insecticidal and repellent properties for other arthropod pests and may have activity against V. destructor. Here, we evaluate responses of V. destructor towards common yarrow essential oil using gas chromatography paired with electrotarsal detection. We identified 38 essential oil components that elicited electrophysiological responses from V. destructor. Components of common yarrow essential oil identified as electrophysiologically active in this study are reported elsewhere as active components of other management strategies for V. destructor infestations (e.g., thyme oil; Thymus sp. (Lamiaceae)). Pending behavioural assessment, the efficacy of common yarrow essential oil in honey bee colonies infested by V. destructor should be explored in field conditions.
PENGGEROMBOLAN SUBSEKTOR INDUSTRI BERDASARKAN PERKEMBANGAN INDEKS PRODUKSI MENGGUNAKAN PREDICTION-BASED CLUSTERING

Statistics Indonesia (BPS) noted that there has been a decrease in the contribution of the industrial sector to the national GDP even though it had provided a significant multiplier effect on national economic growth. Therefore, it is necessary to cluster the industrial subsector based on its growth patterns so that the optimization of development results can be achieved. Prediction-based clustering is part of time series clustering (TSclust) which aims to form clusters based on prediction characteristics so that it can be used to choose a cluster that will become a mainstay industry in the future. This study focused on applying prediction-based clustering in the large and medium industrial sub-sector for a prediction period of 1 month, 1 quarter, and 1 semester. The data used in this study was the production index data from January 2010 to December 2018. The results showed that the best cluster for 1 month consisted of 5 groups, for 1 quarter consisted of 4 groups and for 1 semester consisted of 2 groups. Thus, it was concluded that the food industry; leather industry, leather goods, and footwear; and the pharmaceutical industry, chemical drug products, and traditional medicine could be chosen to be the mainstay industry in the future.
Tracking control of single‐link flexible‐joint manipulator with unmodeled dynamics and dead zone

This article presents a tracking control approach for a flexible‐joint manipulator (FJM) with single link. This approach can achieve the tracking control objective and reject the influences caused by unmodeled dynamics and dead zone. The main contributions are: (1) a robust tracking control approach for the FJM with single link based on equivalent‐input‐disturbance (EID) method is proposed; (2) the unmodeled dynamics and dead zone are considered simultaneously in the tracking control of the FJM with single link; (3) in the control process, velocity measurements are not required in our approach. The robust stability of the EID‐based approach is proved, and the validity for the FJM with single link is illustrated by simulation results.
A qualitative assessment of psycho-educational videos for frontline COVID-19 healthcare workers in Mexico

Introduction. Frontline COVID-19 healthcare workers (FLHCWs) are at a high-risk of suffering occupational stress- and trauma-related mental health problems, including burnout and compassion fatigue (B&CF). Given the time limitations (due to their heavy workloads) and need to minimize face-to-face interventions (in order to avoid contagions), psychological interventions for FHCWs should be as brief and remote as possible. Objective. To evaluate the usability and clarity of evidence-based psycho-educational videos to prevent B&CF, to deal with uncooperative, hostile, and anxious patients and relatives, and to use personal protective equipment (PPE), from the perspective of Mexican FLHCWs. Method. Based on a convenience sampling by intensity approach, videos were distributed requesting feedback based on specific questions through WhatsApp to FLHCWs. Field notes were used to triangulate the information. Results. Content analysis of feedback from a final sample of 24 participants ‒75% women, 42 ± 8.4 years old‒ yielded three general thematic categories and seven subthemes: 1. content evaluation, which included three subthemes: utility, pertinence, and practicality; 2. dissemination and other needs, with two subcategories: willingness to share and receive more videos (other needs); and 3. format aspects, also comprising two subthemes: attractiveness and duration. All participants found the videos content very beneficial, relevant, and applicable to the workplace and even in their everyday personal and family life, and were willing to share them and to receive more videos on other issues, including strategies to manage problems related to isolation. Discussion and conclusion. Escalation of this remote preventive intervention to other COVID-19 centers and future similar epidemics is recommended.
In-situ small-angle neutron scattering study of pore filling and pore emptying in ordered mesoporous silica

The capillary condensation and capillary emptying of water and perfluoropentane in ordered mesoporous SBA-15 silica is studied by in-situ small-angle neutron scattering (SANS). The SANS data can be perfectly described by a simple analytical model for spatially random pore filling (Laue scattering) for the entire range of pore-filling fractions. From this it is concluded that recently proposed pore correlations due to elastic interactions between neighbouring pores upon capillary condensation do not play a role in this system. The pores fill randomly according to their size distribution, in perfect agreement with the classical Kelvin equation. The relation between the overall pore-filling fraction as determined from the volumetric sorption isotherm, and the fraction of completely filled pores as obtained from the fit of the SANS data, allows conclusions to be drawn about the thermodynamic metastability of the adsorption process.