Miracle-dz/UniFAR-FTUs huggingface dataset:
A Survey of Registered Behavior Technicians: Initial and Ongoing Training and Support

SURVEY OF REGISTERED BEHAVIOR TECHNICIANS: INITIAL AND ONGOING TRAINING AND SUPPORT Gabriela McWhorter. Zapatero Old Dominion University, 2021 Chair: Dr. Robert A. Gable Children diagnosed with autism spectrum disorder (ASD) benefit from early intervention, specifically applied behavior analysis (ABA). ABA is often implemented by paraprofessionals who are known as registered behavior technicians (RBTs). For many years, educators have known the value of corrective feedback in relation to skill acquisition. In this case, emphasis was placed on the proclivities of the staff in regard to feedback. This mixed methodology study examined the various strategies currently utilized to instruct RBTs, as well as their preferences for initial and continued training. Results indicated the majority of RBTs who responded to the online survey were being trained through direct, in-person feedback method of modeling and prefer direct, in-person feedback as their continued form of training. Drawing on present results, implications for future research are offered to enhance the development of the field.
The mediating role of psychological well-being in the relationship between the psychological contract and professional engagement

This study was conducted using structural equation modelling to examine the relationship between the psychological contract, psychological well-being, and professional engagement. The sample of the study included 416 teachers who were selected using a disproportionate cluster sampling method from primary and middle schools in Turkey. In analysing relations between variables, mediation testing was performed using the structural equation model and the bootstrap method. The results of this study showed that professional engagement is both directly and indirectly affected via psychological well-being by the psychological contract. How teachers perceive the psychological contract is an important variable that shapes their psychological well-being and professional engagement. Accordingly, school administrations should meet these teacher expectations and display attitudes and behaviours that encourage teachers to take active roles in school-related decisions, thereby further increasing the professional engagement of their teachers.
Distributed Maneuver Planning With Connected and Automated Vehicles for Boosting Traffic Efficiency

Connected and automated vehicles (CAVs) have the potential to improve traffic throughput and achieve a more efficient utilization of the available roadway infrastructure. They also have the potential to reduce energy consumption through traffic motion harmonization, even when operating in mixed traffic with other human-driven vehicles. The key to realizing these potentials are coordinated control schemes that can be implemented in a distributed manner with the CAVs. In this paper, we propose a distributed predictive control framework that features a two-dimensional maneuver planner incorporating explicit coordination constraints between connected vehicles operating in mixed traffic at various penetration levels. The framework includes a distributed implementation of a reference speed assigner that estimates local traffic speed from on-board measurements and communicated information. We present an extensive evaluation of the proposed framework in traffic micro-simulations at various CAV penetrations from traffic flow, energy use, and lane utilization points of view. Results are compared to a baseline scenario with no CAVs, as well as, a benchmark one-dimensional planner.
Selective capture and rapid identification of E. coli O157:H7 by carbon nanotube multilayer biosensors and microfluidic chip-based LAMP

We describe a sensitive approach for visual and point-of-care detection of E. coli O157:H7 and its toxic gene by combining carbon nanotube (CNT) multilayer biosensors and microfluidic chip-based loop-mediated isothermal amplification (LAMP). The anti-E. coli O157:H7 functionalized CNT multilayer biosensor can selectively capture the target bacterium E. coli O157:H7 in complex samples. After culturing, the captured bacteria can be released on demand by cleavage of the anti-E. coli O157:H7 antibody–bacteria interaction. The DNA concentration of the released bacteria was subsequently analyzed with microfluidic chip-based LAMP. After systematic optimization of capturing and detecting conditions, the proposed sensing platform was capable of detecting concentrations as low as 1 CFU mL−1 without complicated instrumentation, this is much more sensitive than previous reported methods. The distinct advantages of the proposed sensing platform, such as high specificity, low cost, good reproducibility and the ability of regenerating, make it a potential platform for detecting E. coli O157:H7 in related food safety and clinical diagnosis.
A high‐throughput method using Ultra‐Performance Liquid Chromatography to determine water‐soluble carbohydrate concentrations in pasture plants

The determination of water-soluble carbohydrate (WSC) concentrations in forages is important for quantifying forage feed quality as WSC is not only a major source of energy but is also associated with the grazing preferences of forages and subsequent intake by livestock. This study describes a high-throughput ultra-performance liquid chromatography (UPLC) method to analyse WSC concentrations of various forage samples. The application of the new method is demonstrated by investigating the WSC concentrations in (i) temperate forages at different tiller heights, and (ii) summer forage crops grown under rain-fed and irrigated conditions. The UPLC method provided a more descriptive, specific and precise analysis of WSC concentration compared to the colorimetric method. Grass tiller height had a significant effect on total WSC concentration and individual sugar. With increasing tiller height, sucrose concentration increased and fructan and total WSC concentrations decreased. While irrigation treatment increased the dry-matter yield of all nine summer forage crops analysed, there was no consistent effect of irrigation on WSC concentration.
A Study on the Impact of Work-life Balance and Smart Work Environment on Job Satisfaction and Organizational Commitment among Employees

Lots of studies have been conducted on work-life balance in various fields. In particular, while a plethora of studies on the work–life balance have focused mainly on organizational culture and work performance, research to investigate the impact of work-life balance on employees' organizational commitment is scarce. This study aims to empirically analyze how work-life balance of employees affects organizational commitment and mediation effects of job satisfaction on the relationships through a survey of 463 employees working in small and medium-sized enterprises, public institutions, and conglomerates in the COVID-19 era. Also, it examines the impact of a smart work environment as a new way of working during the COVID-19 pandemic on job satisfaction and organizational commitment. The findings of the study are summarized as follows. First, work-life balance was shown to positively affect job satisfaction, and job satisfaction had a positive influence on emotional organizational commitment of employees. Second, job satisfaction was found to be completely mediated both in the relationship between work-life balance and organizational commitment and in the relationship between work-family balance and organizational commitment, and partially mediated in the relationship between work-growth balance and organizational commitment. Third, the smart work environment had a positive effect on job satisfaction and organizational commitment. The results of the study show that work and family, work and leisure, and work and growth balance are significantly important factors to improve employees’ work attitudes in the changing work environment as a result of COVID-19. The present results suggest that the introduction of work-life balance and the smart work environment is required to increase organizational productivity. ■ keyword :∣Work-life Balance∣Job Satisfaction∣Organizational Commitment∣Smart Work Environment∣ 접수일자 : 2021년 01월 26일 수정일자 : 2021년 02월 23일 심사완료일 : 2021년 02월 23일 교신저자 : 서영욱, e-mail : ywseo@dju.ac. kr 한국콘텐츠학회논문지 '21 Vol. 21 No. 3 506
A comparative evaluation of machine learning algorithms and an improved optimal model for landslide susceptibility: a case study

Abstract In this study, four representative machine learning methods (support vector machine (SVM), maximum entropy (MaxEnt), random forest (RF), and artificial neural network (ANN)) were employed to construct a landslide susceptibility map (LSM) in Xulong Gully (XLG), southwest China. The models were subsequently compared in order to select the best-performing model. This model was further improved to optimize the machine learning method. A total of 16 layers were extracted from the collected data and employed as conditional factors for the correlation analysis and subsequent modelling. The LSMs were then divided into four levels (very high susceptibility (VH), high susceptibility (H), moderate susceptibility (M) and low susceptibility (L)). The results were verified by receiver operating characteristic (ROC) curves, Root Mean Squared Error (RMSE) and Frequency Ratio (FR). The higher of the area under ROC curve (AUC) and the lower the RMSE, the more accurate and stable the performance. Following the factor performance analysis, the optimal SVM model was linearity improved to the Trace Ratio Criterion (TRC)-SVM, with a better performance and the ability to overcome the factor defect. The comprehensive comparisons and proposed LSM can support future research, as well as local authorities in the development of landslide remission strategies.
The measurement of the laminar flame speed of Dutch natural gas: An investigation on the burning characteristics of Dutch natural gas

The characteristics of Dutch natural gas (DNG) have been quantified by measuring the laminar flame speed of a premixed Bunsen flame over a range of equivalence ratios ϕ, varied from ϕ=0.80 to ϕ=1.55. The laminar flame speed has been calculated from the OH* chemiluminescence images recorded with a high speed camera with an acquisition rate of 1 kHz. Both the semi-cone angle method and mass conservation method were used in deriving the magnitude of the laminar burning velocity. From the data it was shown that the laminar flame speed of DNG is consistently lower compared to natural gas from Pittsburgh, Abu Dhabi and Indonesia. Moreover the data has been compared using the laminar flame speed of methane mixtures to validate the experimental setup. This showed that the laminar flame speed of DNG was marginally lower than the laminar flame speed of methane. The uncertainty within the measurements has been quantified by deriving the probability density function of the data.
Partitioning of Platinum-Group elements (PGE) and chalcogens (Se, As, Te, Sb, Bi) at controlled fo2-fs2 conditions

A more quantitative understanding of how highly siderophile elements (HSEs: Os, Ir, Ru, Rh, Pt, Pd, Au, Re), Ag, Pb and chalcogens (As, Se, Sb, Te and Bi) behave during magmatic sulfide solidification in nature builds on several important aspects: 1) accurate measurements of their concentrations in natural samples; 2) quantitative constraints on their partitioning behaviors; 3) a crystallization model that can reasonably simulate the ore deposits of interest. In order to better measure the concentrations of these elements during the solidification of sulfide melts, we have developed a new Laser Ablation Inductively Coupled Plasma Mass Spectrometry (LA-ICPMS) standard (Ge-Sb-S glass; Ge6) for improving the trace level measurements of these elements in both sulfide and silicate glass matrices. The Ge6 composition has excellent glass forming capability and can incorporate a variety of dopants up to the 100 ppm level, except for Ru, Os, Re, W and Mo, which can be doped to 5-10 ppm
Harnessing NKT cells for vaccination

Abstract Natural killer T (NKT) cells are innate-like T cells capable of enhancing both innate and adaptive immune responses. When NKT cells are stimulated in close temporal association with co-administered antigens, strong antigen-specific immune responses can be induced, prompting the study of NKT cell agonists as novel immune adjuvants. This activity has been attributed to the capacity of activated NKT cells to act as universal helper cells, with the ability to provide molecular signals to dendritic cells and B cells that facilitate T cell and antibody responses, respectively. These signals can override the requirement for conventional CD4+ T cell help, so that vaccines can be designed without need to consider CD4+ T cell repertoire and major histocompatibility complex Class II diversity. Animal studies have highlighted some drawbacks of the approach, namely, concerns around induction of NKT cell hyporesponsiveness, which may limit vaccine boosting, and potential for toxicity. Here we highlight studies that suggest these obstacles can be overcome by targeted delivery in vivo. We also feature new studies that suggest activating NKT cells can help encourage differentiation of T cells into tissue-resident memory cells that play an important role in prophylaxis against infection, and may be required in cancer therapy.
The Correlation of EMMPRIN and EGFR Overexpression toward Muscle Invasiveness in Urothelial Carcinoma of Bladder

Urothelial carcinomas represent 90% of all primary bladder cancers. Muscle invasion is a critical prognosticdeterminant in urothelial carcinoma. The overexpression of EMMPRIN and EGFR was found in urothelialcarcinoma. The association between the two markers has not been reported in urothelial carcinoma,therefore we aimed to analyze the expression of EMMPRIN and EGFR and investigate their association withurothelial carcinoma invasiveness. Paraffin-embedded tissues were obtained from 54 urothelial carcinomapatients which then underwent immunohistochemistry staining for EMMPRIN and EGFR antibody. Thecomparison of EMMPRIN and EGFR expression was tested using the Mann Whitney U test. The correlationwas analyzed using the Spearman test. Results showed a significant difference of EMMPRIN expressionbetween non-muscle-invasive and muscle-invasive bladder cancer (p = 0.000), and EMMPRIN expressionwas significantly correlated with the muscle invasion (rs = 0.481, p = 0.000). A significant difference ofEGFR expression between the non-muscle-invasive and muscle-invasive bladder cancer was also found(p = 0.020), and EGFR expression was significantly correlated with the muscle invasion (rs = 0.319, p =0.019). The expression of EMMPRIN was positively correlated with EGFR in urothelial carcinoma (rs =0.322, p = 0.018). The expression of EMMPRIN and EGFR are two potential biomarkers for urothelialcarcinoma invasiveness which may be helpful to differentiate between muscle-invasive and non-muscleinvasive bladder cancer.
First-Eutectic Features of Polar Metals in Double Systems

It is known that the dense part of any liquid metal consists of ramified clusters of almost regular tetrahedrons (triangular pyramids with atoms in their vertexes) that are connected into chains by faces. Any metal additive as a second component of liquid alloy can be both beyond these clusters as separated atoms and into them as inherent clusters. The liquid-metal alloy transfers into the second state, at the first eutectic of the solvent. This polymorphic transition of liquid matrix is discovered in the systems, Pb-K and Na-Pb, by molecular-dynamic simulating their microstructure and in experiments on scattering slow neutrons by these alloys of different compositions. In the first system, the obtained results identify both the homogeneous alloy at low concentrations of potassium in liquid lead and the alloy clustering, (Pb4K)n, at potassium concentrations following the eutectic, Pb0.91K0. 09. In the second one at the concentrations of lead more than 2%, just the second state is discovered with the clusters, (Na4Pb)n. One can expect the same polymorphic transition in the eutectic, Na0.93Tl0. 07, with the micro-inhomogeneity, (Na6Tl)n, and with the melting point of 64 C. This eutectic maintained by the oxygen-free technology and enriched by the isotope, 205Tl, can become the best coolant for fast nuclear reactors due to the depressed chemical activity of sodium and composition stability.
Assessment of Ionomic, Phenolic and Flavonoid Compounds for a Sustainable Management of Xylella fastidiosa in Morocco

Morocco belongs to the countries ranked at a high-risk level for entry, establishment, and spread of Xylella fastidiosa, which has recently re-emerged as a plant pathogen of global importance causing olive quick decline syndrome (OQDS). Symptomatic infection by X. fastidiosa leads to devastating diseases and important economic losses. To prevent such losses and damages, countries without current outbreaks like Morocco need to first understand their host plant responses to X. fastidiosa. The assessment of the macro and micro-elements content (ionome) in leaves can give basic and useful information along with being a powerful tool for the sustainable management of diseases caused by this devastating pathogen. Herein, we compare the leaf ionome of four important autochthonous Moroccan olive cultivars (‘Picholine Marocaine’, ‘Haouzia’, ‘Menara’, and ‘Meslalla’), and eight Mediterranean varieties introduced in Morocco (‘Arbequina’, ‘Arbosana’, ‘Leccino’, ‘Ogliarola salentina’, ‘Cellina di Nardo’, ‘Frantoio’, ‘Leucocarpa’, and ‘Picholine de Languedoc’), to develop hypotheses related to the resistance or susceptibility of the Moroccan olive trees to X. fastidiosa infection. Leaf ionomes, mainly Ca, Cu, Fe, Mg, Mn, Na, Zn, and P, were determined using inductively coupled plasma optical emission spectroscopy (ICP-OES). These varieties were also screened for their total phenolics and flavonoids content. Data were then involved in a comparative scheme to determine the plasticity of the pathogen. Our results showed that the varieties ‘Leccino’, ’Arbosana’, ‘Arbequina’ consistently contained higher Mn, Cu, and Zn and lower Ca and Na levels compared with the higher pathogen-sensitive ‘Ogliarola salentina’ and ‘Cellina di Nardò’. Our findings suggest that ‘Arbozana’, ‘Arbiquina’, ‘Menara’, and ‘Haouzia’ may tolerate the infection by X. fastidiosa to varying degrees, provides additional support for ‘Leccino’ having resistance to X. fastidiosa, and suggests that both ‘Ogliarola salentina’ and ‘Cellina di Nardö’ are likely sensitive to X. fastidiosa infection.
Penile fracture: Institutional experience of 14 cases

Background: Penile fracture due to various causes is urological emergency condition, which can be diagnosed on history and clinical examination of the patient. Appropriate management in each case prevents patients from future physical and psychological consequences. Materials and Methods: Fourteen patients were included in the study. The study was carried out at Ruby Hall Clinic, Pune, India, between January 1, 2016, and December 31, 2019. All patients were evaluated by history and clinical examination and radiographic investigation in suspected urethral injury. Results: Fourteen patients with penile fracture, between 20 and 50 years, were in the study. The most common mechanism of injury was abnormal positional coital activity. About 85.71% of patients were diagnosed with a history and clinical examination. Ninety-three percent of patients were treated surgically and had a successful outcome. One patient had associated urethral injury. All patients had good sexual function posttreatment except one who later recovered well on medical management. Conclusion: Early diagnosis and treatment of patients with penile fracture depend on the history and clinical examination with less role of radiological investigations. The appropriate treatment gives a good outcome.
Treatment of V2O5/TiO2 by Non-Thermal Plasma: Changes in Surface Characters and Mercury Oxidation Activity

The technology for mercury removal in coal-fired power plant is still under development. In the flue gas, elemental mercury is the main component of mercury, and is hard to be removed due to its high volatility and low solubility. So converting Hg0 to Hg2+ in or ahead of the FGD is significant to enhance mercury removal. In this work, plasma treatment method was used to prepare V2O5/TiO2 catalysts for effectively oxidation of Hg0. Plasma treatment of V2O5/TiO2 resulted in the improvement of mercury oxidation activity. The Hg0 oxidation efficiency of the catalysts treated by plasma is over 82% at 300 °C, which is about 30% higher than that of the untreated catalyst. The catalysts were characterized using SEM, BET and EPR. SEM results indicated that plasma treatment can create cracks and small particles on simple surface, however, calcinations cause sintering and agglomeration. The superior catalytic performance is mainly attributed to the formation of particles attached to the catalyst surface, the higher amount of V4+ ions and vacancies on the catalyst surface.
The Effect of School and Student-Related Factors on PISA 2015 Science Performances in Turkey

The Program for International Student Assessment (PISA) is a research project conducted by the Organization for Economic Co-operation and Development, which evaluates the knowledge and skills gained by 15-year-old students over three-year terms. Within this study’s' scope, the PISA 2015 data were analysed to determine whether school-related factors [including the schools’ economic, social, and cultural status (ESCS)] were related to Turkish students’ science performances. Due to its nested structure, the released PISA 2015 data were analysed using the hierarchical linear model (HLM). Two models were considered to examine how Aggregated ESCS at the school level makes a difference. Thereby in model 1 shortage of educational material, staff shortage, student behaviours, and teacher behaviours were included in the analysis; in addition to these variables listed, aggregated ESCS was also added to the analysis in Model 2. The results of the analysis revealed that school-related factors - in particular, staff shortage, student behaviours, and aggregated ESCS indexes - were statistically related to students’ science performances. When the aggregated ESCS was controlled, it is observed that the school-level variables had a higher effect on students’ science performances.