Miracle-dz/UniFAR-FTUs huggingface dataset:
A Predictive and Causal-Comparative Analysis of Teacher Burnout and Emotional Empathy among K-12 Public School Teachers

Recent research has shown that teacher burnout is a contributing factor to many teachers leaving the field of education early on in their careers. Many teachers of all levels and subjects leave before ever reaching their full potential due to decreased job-satisfaction and the overwhelming symptoms of burnout crippling other areas of their life. Emotional exhaustion is a major component of burnout. Thus, emotional empathy may be related to teacher burnout. In this quantitative, correlational and causal-comparative study, the researcher examined the relationship between emotional empathy and teacher burnout among K-12 teachers. Further, the researcher investigated whether the relationship between emotional empathy and burnout was more significant among teachers of different instructional assignments. The researcher drew from a sample of 50 regular education and 50 special education teachers from five, rural school districts. Teachers completed a set of instruments: the Maslach Burnout MBI-Educators Survey (MBI-ES) and The Questionnaire Measure of Emotional Empathy (QMEE), via an online survey. Using a linear regression, the researcher examined the relationship between the participant scores on the Questionnaire Measure of Emotional Empathy and the participant scores on Maslach Burnout Inventory-Educator’s Survey scores. Using an independent samples t-test, the researcher also compared the levels of burnout and empathy among regular education teachers and special education teachers. A significant relationship was found between emotional empathy and burnout among both regular education and special education teachers. There was no significant difference between emotional empathy or burnout scores of regular and special education teachers.
3D graphene from CO2 and K as an excellent counter electrode for dye‐sensitized solar cells

3D graphene, which was synthesized directly from CO2 via its exothermic reaction with liquid K, exhibited excellent performance as a counter electrode for a dye‐sensitized solar cell (DSSC). The DSSC has achieved a high power conversion efficiency of 8.25%, which is 10 times larger than that (0.74%) of a DSSC with a counter electrode of the regular graphene synthesized via chemical exfoliation of graphite. The efficiency is even higher than that (7.73%) of a dye‐sensitized solar cell with an expensive standard Pt counter electrode. This work provides a novel approach to utilize a greenhouse gas for DSSCs.
The Challenges and Prerequisites of Data Stream Processing in Fog Environment for Digital Twin in Smart Industry

Smart industry systems are based on integrating historical and current data from sensors with physical and digital systems to control product states. For example, Digital Twin (DT) system predicts the future state of physical assets using live simulation and controls the current state through real-time feedback. These systems rely on the ability to process big data stream to provide real-time responses. For, example it is estimated that one autonomous vehicle (AV) could produce 30 terabytes of data per day. AV will not be on the road before using an effective way to managing its big data and solve latency challenges. Cloud computing failed in the latency challenge, while Fog computing addresses it by moving parts of the computations from the Cloud to the edge of the network near the asset to reduce the latency. This work studies the challenges in data stream processing for DT in a fog environment. The challenges include fog architecture, the necessity of loosely-coupling design, the used virtual machine versus container, the stateful versus stateless operations, the stream processing tools, and live migration between fog nodes. The work also proposes a fog computing architecture and provides a vision of the prerequisites to meet the challenges.
Closed cycle production of concentrated and dry redispersible colloidal lignin particles with a three solvent polarity exchange method

Lignin, an aromatic biopolymer, is the main by-product of pulp manufacture, and has been under intense study, as it offers great promise as an alternative for petrochemical polymers. However due to its heterogeneity, the applications where lignin can be used have been limited, leading to the vast majority of it being burned for fuel. Colloidal lignin particles (CLPs) offer a means to disperse lignin homogenously into both water and other media, such as polymers. However, no means thus far have been presented that would allow for a large-scale production of CLPs. Herein we show an industrially scalable closed cycle process of CLP production. In the process, a concentrated solution of lignin in tetrahydrofuran (THF) and ethanol (EtOH) is added into the non-solvent water, instantaneously forming CLPs through self-assembly. The organic solvents are recovered and reused in the process. The aqueous CLPs are concentrated by ultrafiltration and the concentrated particles are spray dried, leading to redispersible microclusters. CLPs can be used in multiple applications, such as Pickering emulsions and composite materials. A significant portion of the 50 million tons of lignin produced by the pulp industry could be made into CLPs with this low cost process, which would open a whole new class of materials for industrial applications.
Endothelial dependent relaxation demonstrated in vivo in cerebral arterioles.

The endothelium of mouse pial arterioles was injured in situ with a light/dye technique. The response of the arterioles to acetylcholine or to bradykinin was compared before and after the injury. All vessels failed to dilate after injury. In fact the predominant response now became constriction. The injured vessels were still capable of dilating to papaverine. Uninjured vessels continued to dilate to acetylcholine or bradykinin. The data show that relaxation of pial arterioles to acetylcholine or bradykinin is dependent on a normal endothelium. This is in keeping with demonstrations by others that an endothelial dependent relaxing factor or factors is(are) the mediator of the dilation to either acetylcholine or bradykinin. The present demonstration of such endothelial dependence is important because in contrast with the bulk of the literature it deals with in vivo, rather than in vitro data, and with microcirculation rather than large vessels. It is also important because it concerns brain circulation. Th.
Employee Resistance to Change During the Implementation of Trauma-Informed Care

Employee Resistance to Change During the Implementation of Trauma-Informed Care by Tara A. Chalakani MS, Capella University, 2011 BS, Thomas Edison State University, 2007 AAS, Nursing, Ocean County College, 1993 Doctoral Study Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Psychology in Behavioral Health Leadership
Weathering the storm: talent management in internationally oriented Greek small and medium-sized enterprises

PurposeBased on a study of internationally oriented Greek small and medium-sized enterprises (SMEs), and using the lens of institutional theory, this paper extends the understanding of the extent to which Greece's institutional context influences talent management (TM). In so doing, the authors focussed on the key TM practices employed by SMEs to enhance and sustain TM: talent acquisition, development and retention. The authors also explore how these practices are shaped by the Greek institutional context.Design/methodology/approachEmploying a multiple case-study approach, the authors conducted 18 interviews in six distinctive SMEs operating in north, central and southern Greece. The data were thematically analysed to identify patterns across all SMEs.FindingsThis study found that unlike multinational corporations, internationally oriented Greek SMEs adopt a more inclusive approach to TM practices as well as that the country's institutional context presented important yet not deterministic hurdles. The authors also found that SMEs adopt an opportunistic approach to talent acquisition by utilising appropriate available sources to reach out for available talent. The authors provided evidence that SMEs adopt a hybrid approach to talent development in addressing talent scarcity. Finally, this study reported that talent retention is significantly appreciated by SMEs, who offer a range of intrinsic and extrinsic incentives to retain their talented workforce.Practical implicationsThis study provides stakeholders with insights into how effective TM practices can be considered a lifeline to organisational sustainability – particularly for SMEs in the contemporary challenging and fiercely competitive business environment. It also highlights the potential of inclusive TM practices to be part of an effective workforce management strategy: Relative to the prevailing institutional dynamic, stakeholders (policymakers and human resource practitioners) must engage in the multiple areas of individual talent acquisition, development and retention.Originality/valueIn a context of reforms, this study reports on TM practice in internationally oriented Greek SMEs. The authors also add to the literature on TM in SMEs by providing evidence on the conceptualisation and management of global talent in this context.
Separation technology meets green chemistry: development of magnetically recoverable catalyst supports containing silica, ceria, and titania

Abstract Magnetic separation can be considered a green technology because it is fast, efficient, consumes low energy, and minimizes the use of solvents and the generation of waste. It has been successfully used in laboratory scale to facilitate supported catalysts’ handling, separation, recovery, and recycling. Only few materials are intrisically magnetic, hence the application of magnetic materials as catalyst supports has broaden the use of magnetic separation. Iron oxides, silica-coated iron oxides, and carbon-coated-cobalt are among the most studied catalyst supports; however, other metal oxide coatings, such as ceria and titania, are also very interesting for application in catalysis. Here we report the preparation of magnetically recoverable magnetic supports containing silica, ceria, and titania. We found that the silica shell protects the iron oxide core and allows the crystalization of ceria and titania at high temperature without compromising the magnetic properties of the catalyst supports.
Magnetic trapping of atomic nitrogen and cotrapping of NH

We observe magnetic trapping of atomic nitrogen (N) and cotrapping of groundstate imidogen (NH, X3Σ−) and measure collisional properties of both species. Both are loaded directly from a room-temperature beam via buffer gas cooling. We trap approximately 1× 10 N atoms at a peak density of 2× 10 cm−3 at 600 mK. We also separately trap similar numbers of the isotope N. For magnetically trapped N, observation times of over 100 s have been achieved. Utilizing a new pulsed cryogenic reservoir for introducing buffer gas into the cell, we are able to cotrap N and NH and subsequently rapidly remove most of the buffer gas. This allows for observation times of trapped NH of up to 10 s. This is sufficiently long to study N-NH collisions in the magnetic trap. From our observations, we estimate a ratio of elastic to inelastic N-NH collisions of γ ≈ 100 at a temperature of 570 mK.
Optical and Electrical Properties of ZnO Nanorods at different Temperatures

Here ZnO (Zinc Oxide) nanorods are synthesized by using hydrothermal process. ZnO nanorods were synthesized on annealed seeded layer by hydrothermal method at different temperatures 50°C, 65°C, 75°C, and 85°C. Optical and electrical properties were studied using Diffused Reflectance Spectra analyser (DRS) and current-voltage measurements are done on the prepared ZnO nanorods thin films. Diffused reflectance occurs when the incident radiation beam is focused on the sample at a particular temperature and the surface of the sample is rough or irregular so that a part of the incident beam is reflected which is considered to be diffuse reflection. Then the back reflected and diffusely scattered light is collected by the detector. The UV spectra analyser shows the absorption peaks appear at 366nm, 367nm, 366nm and 369nm while growth temperature increases from 50 °C to 85 °C. Band Gap energy of the sample is also calculated at different temperatures. ZnO nanorods have huge applications in nanotechnology. Keywords—ZnO, Nanorods, Optical, Electrical Properties, Diffusedr eflectance, QDSSC
DATA-DRIVEN APPROACH FOR GENERATING COLORMAPS OF SCIENTIFIC SIMULATION DATA

The colormap plays important roles in the exploration, analysis, and discovery of scientific data. Datasets generated by real-world simulation applications are becoming increasingly more complex: the distribution of the variable values within the data is often extremely uneven and accompanied by high levels of data noise. The heterogeneity of these data characteristics presents rich information about physical laws as well as technical challenges for colormap of visualization. Most default colormaps are defined by linearly interpolating dataset values and cannot be adapted to convey the physical meaning behind complicated data. In this paper, we introduce a data-driven approach for generating colormaps of scientific simulation data, that can overcome the visualization problems using noise-reduction-based parameter tuning of color control points and a wave-like colormap enhancement in brightness. Several real-world simulation data are used to verify the effectiveness of our proposed method, which means that our method could help domain scientists understand complicated data more clearly and quickly.
Formation of binocular-like structure using graphene nanosheet and carbon nanotubes

Abstract Binocular-like carbon structure was successfully fabricated using forced-field-based molecular dynamics simulations. The mechanism for the self-scrolling of graphene sheet using carbon nanotubes as template was analysed. By analysing the self-scrolling process, it was found that the van der Waals interactions were responsible for the formation of the binocular-like carbon nanostructures. Furthermore, the position and number of carbon tubes influenced the self-scrolling process. Moreover, the mechanism was also discussed. Our theoretical results will provide researchers a powerful guide and helpful assistance in designing better targeted programmes in experiments.
The development of a biomimetic enzyme-linked immunosorbent assay based on the molecular imprinting technique for the detection of enrofloxacin in animal-based food

In this study, a direct competitive biomimetic enzyme-linked immunosorbent assay (BELISA) method using molecularly imprinted polymers (MIPs) as artificial antibodies was developed to detect enrofloxacin (ENRO) in animal-based food. The MIPs were characterized by scanning electron microscopy (SEM), Fourier transform infrared (FT-IR) spectroscopy, adsorption kinetic experiments and isothermal adsorption experiments. The results showed that molecularly imprinted polymers were successfully synthesized with a fast adsorption rate and high adsorption. Under the optimum conditions, the sensitivity (IC50) and limit of detection (IC15) of the established BELISA method were 85.7 ng mL−1 and 1.1 ng mL−1, respectively. The method was applied to the determination of ENRO in spiked beef and shrimp samples, and recoveries ranged from 74.4 to 86.8% with relative standard deviations (for n = 3) between 3.3 and 8.0%. The results correlated well with those obtained using ELISA and high performance liquid chromatography methods.
Association for Academic Surgery, 2006 Resveratrol Inhibits Pancreatic Cancer Cell Proliferation Through Transcriptional Induction of Macrophage Inhibitory Cytokine-1 1

Introduction. Resveratrol is a phenolic compound found in grape skins, mulberries, and certain nuts that has been shown to have antitumorigenic and anti- inflammatory properties. Macrophage inhibitory cyto- kine (MIC-1) is a member of the transforming growth factor beta (TGF-) superfamily that has been shown to have antitumorigenic activity and is up-regulated in resveratrol-treated cancer cells. Resveratrol inhib- its proliferation of human pancreatic cancer cells; however, the exact mechanism of action is not known. In this study, we investigated the role of MIC-1 in resveratrol-induced growth inhibition of human pan- creatic cancer cell lines. Methods and results. Proliferation assays con- ducted with resveratrol-treated human pancreatic cancer cell lines (CD18 and S2-013) at 24, 48, and 72 h revealed inhibition of cell proliferation compared to controls. Using oligonucleotide microarray analysis, we identified marked up-regulation of MIC-1 gene expression in resveratrol-treated human pancreatic cancer S2-013 cells. Real-time RT-PCR performed in CD18 and S2-013 cells treated with resveratrol (0-100 m) for 24 h confirmed concentration and time- dependent up-regulation of expression of one partic- ular gene, MIC-1. Both cell lines pretreated with actinomycin D (a transcriptional inhibitor) and then resveratrol had reduced up-regulation of MIC-1 gene expression compared to those treated with resvera- trol alone. Finally, resveratrol-induced growth inhi- bition was abolished in CD18 cells transfected with MIC-1 short interfering RNA. Conclusions. Resveratrol up-regulates MIC-1 gene expression in part at the transcriptional level in pan- creatic cancer cells. Furthermore, MIC-1 appears to play a key role in resveratrol-induced growth inhibi-
Prediction Errors Analysis and Correction on FCS-MPC for the Cascaded H-Bridge Multilevel Inverter

Predictive errors restrict high performance of finite control set model predictive control (FCS-MPC) in the cascaded H-bridge multilevel inverter.In order to solve this problem, the influence mechanisms of parameter mismatch, model discretization, and sampling error on voltage and current prediction errors are analyzed in this article. A hierarchical multifactorial error correction method is proposed. The known voltage prediction errors of the previous adjacent prediction periods are first fed back to calculate the voltage predictive error factors and self-correct the next voltage prediction errors. And then the current prediction errors are calibrated by the corrected voltage and the calculated current predictive error factor. This proposed method involves a simple structure and a good inhibitory ability on multifactorial prediction errors. Finally, experimental results in a three-phase five-level cascaded H-bridge multilevel inverter support the theoretical analysis and the proposed method.
Experimental Investigation of Thermoacoustic Instabilities for a Model Combustor With Varying Fuel Components

In this study, a combustion facility was constructed that includes a flexible fuel supply system to produce synthesis gas using a maximum of three components. The rig with lean premixed burner is able to operate at up to 5 bars. The length of the inlet plenum and the outlet boundary conditions of the combustion chamber are adjustable. Experiments were carried out under a broad range of conditions, with variations in fuel components including hydrogen, methane and carbon monoxide, equivalence ratios, thermal power and boundary conditions. The dynamic processes of self-excited combustion instabilities with variable fuel components were measured. The mechanisms of coupling between the system acoustic waves and unsteady heat release were investigated. The results show that instability modes and flame characteristics were significantly different with variations in fuel components. In addition, the results are expected to provide useful information for the design and operation of stable syngas combustion systems.Copyright © 2011 by ASME
Multilayer N‐doped Graphene Films as Photoelectrodes for H2 Evolution

Multilayer N-doped graphene photoelectrodes have been prepared following a straightforward one-step pyrolytic fabrication method. The N-doped graphene photoelectrodes have been demonstrated to work both as semitransparent electrodes and as efficient photoelectrocatalysts for H2 evolution at low bias. N-doped graphene photoelectrodes exhibited a constant H2 generation rate of 3.64 μmol h−1 cm2 at 0.2 V under 3443 W m−2 irradiation for 17 h, reaching an applied-bias-compensated solar-to-hydrogen efficiency of 1.8 %. The N-doped graphene photoelectrodes show light-intensity dependence as well as photocatalytic activity for H2 evolution in the UV/Vis spectral region. Impedance spectroscopy provides experimental evidence indicating that charge separation within N-doped graphene increases upon positive bias polarization of the photoelectrode.
Model-based Interpretation of the Performance and Degradation of Reformate Fueled Solid Oxide Fuel Cells

Solid oxide fuel cells offer great prospects for the sustainable, clean and safe conversion of various fuels into electrical energy. In this thesis, the performance-determining loss processes for the cell operation on reformate fuels are elucidated via electrochemical impedance spectroscopy. Model-based analyses reveal the electrochemical fuel oxidation mechanism, the coupling of fuel gas transport and reforming chemistry and the impact of fuel impurities on the degradation of each loss process.
Surface Acoustic Wave Resonator Echo Signal Frequency Estimation

Surface Acoustic Wave (SAW) resonator measuring technology can be used in high temperature and high pressure, strong electromagnetic radiation and strong electromagnetic interference to realize wireless passive parameter detection. Based on the the non-stationary characteristics of the SAW signal, a kind of echo signal frequency estimation method, Digital Frequency Significant Place Tracking (DFSPT) method is put forward. Compared with the existing methods based on Fast Fourier Transform (FFT) and Singular Value Decomposition (SVD), the simulation results show that the method can determine the number of significant digits of digital frequency according to the difference of signal-to-noise ratio. Thus, it can increases stability and accuracy. The experiment of wireless SAW temperature sensor shows that the frequency estimation standard deviation of this method is small and the robustness is high.
Shining light on interstellar matter : a laboratory study

In recent years it has become clear that the space in between the stars, contains a remarkable amount of highly diverse molecules, ranging from simple diatomics to large complex species. Astronomical observations and dedicated laboratory experiments show that icy dust grains play a prominent role in the chemical enrichment of matter in space. Exotic solid state reactions taking place for temperatures as low as -260 degree merge small abundant species to larger and larger compounds until species are formed that are considered to be of relevance for life; sugars, fats and precursors of amino acids. Ultimately this material is embedded in matter from which stars and planets form. So, could it be possible, that the ingredients for life form everywhere, in space, following very similar chemical pathways? In this thesis a dedicated laboratory study is described that studies exactly these processes. With a new experimental setup the physical and chemical processes are characterized that are needed to interpret and guide astronomical observations and that yield parameters needed as input in astrochemical models. It is concluded that the chemical complexity in the solid state reaches out much further than assumed so far.