Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-assessment is about more than self: the enabling role of feedback literacy

Abstract Both student feedback literacy and self-assessment are crucial for developing self-regulated and lifelong learning in higher education. The relationship between these two concepts is important but as yet understudied. Using self-assessment to develop students’ feedback literacy has been mentioned in relevant literature, but how feedback literacy can facilitate self-assessment practice remains unclear. The purpose of this conceptual article is twofold. First, we articulate the interplay between feedback literacy and self-assessment based on a reframing and integration of the two concepts. Secondly, we unfold the self-assessment process into three steps: (1) determining and applying assessment criteria, (2) self-reflection, and (3) self-assessment judgement and calibration. For each step, we propose a pedagogical principle and recommend feedback practices that facilitate meaningful self-assessment. Implications for learning and teaching in both face-to-face and online learning environments are discussed.
Sensitivity analysis of optimization models for isolated intersections with short left‐turn lanes on approaches

This article reports on a sensitivity analysis of the optimization models used to improve isolated intersections with short left-turn lanes on approach. The author notes that short left-turn lanes are often channelized to improve capacity and level of service at signalized intersections. The parameters under consideration include critical cycle length and maximum short-lane length. The author simulated the existing optimization model combined with several better optimization scenarios, to further clarify the potential effects of these models on traffic flow operations. The author uses field data from Dalian, China to illustrate the models and the methods. The article includes a table of the author’s recommendations for use of the objective functions and certain parameter values.
Lower limb kinetic comparisons between the chasse step and one step footwork during stroke play in table tennis

Background Biomechanical footwork research during table tennis performance has been the subject of much interest players and exercise scientists. The purpose of this study was to investigate the lower limb kinetic characteristics of the chasse step and one step footwork during stroke play using traditional discrete analysis and one-dimensional statistical parameter mapping. Methods Twelve national level 1 table tennis players (Height: 172 ± 3.80 cm, Weight: 69 ± 6.22 kg, Age: 22 ± 1.66 years, Experience: 11 ± 1.71 year) from Ningbo University volunteered to participate in the study. The kinetic data of the dominant leg during the chasse step and one step backward phase (BP) and forward phase (FP) was recorded by instrumented insole systems and a force platform. Paired sample T tests were used to analyze maximum plantar force, peak pressure of each plantar region, the force time integral and the pressure time integral. For SPM analysis, the plantar force time series curves were marked as a 100% process. A paired-samples T-test in MATLAB was used to analyze differences in plantar force. Results One step produced a greater plantar force than the chasse step during 6.92–11.22% BP (P = 0.039). The chasse step produced a greater plantar force than one step during 53.47–99.01% BP (P < 0.001). During the FP, the chasse step showed a greater plantar force than the one step in 21.06–84.06% (P < 0.001). The one step produced a higher maximum plantar force in the BP (P = 0.032) and a lower maximum plantar force in the FP (P = 0) compared with the chasse step. The one step produced greater peak pressure in the medial rearfoot (P = 0) , lateral rearfoot (P = 0) and lateral forefoot (P = 0.042) regions than the chasse step during BP. In FP, the chasse step showed a greater peak pressure in the Toe (P = 0) than the one step. The one step had a lower force time integral (P = 0) and greater pressure time integral (P = 0) than the chasse step in BP, and the chasse step produced a greater force time integral (P = 0) and pressure time integral (P = 0.001) than the one step in the FP. Conclusion The findings indicate that athletes can enhance plantarflexion function resulting in greater weight transfer, facilitating a greater momentum during the 21.06–84.06% of FP. This is in addition to reducing the load on the dominant leg during landing by utilizing a buffering strategy. Further to this, consideration is needed to enhance the cushioning capacity of the sole heel and the stiffness of the toe area.
Selective clonal persistence of human retroviruses in vivo: Radial chromatin organization, integration site, and host transcription

The human retroviruses HTLV-1 and HIV-1 persist in vivo, despite the host immune response and antiretroviral therapy, as a reservoir of latently infected T-cell clones. It is poorly understood what determines which clones survive in the reservoir and which are lost. We compared >160,000 HTLV-1 integration sites from T-cells isolated ex vivo from naturally-infected subjects with >230,000 integration sites from in vitro infection, to identify the genomic features that determine selective clonal survival. Three factors explained >40% of the observed variance in clone survival of HTLV-1 in vivo: the radial intranuclear position of the provirus, its absolute genomic distance from the centromere, and the intensity of host genome transcription flanking the provirus. The radial intranuclear position of the provirus and its distance from the centromere also explained ~7% of clonal persistence of HIV-1 in vivo. Selection for transcriptionally repressive nuclear compartments favours clonal persistence of human retroviruses in vivo.
Social norms (not threat) mediate willingness to sacrifice in individuals fused with the nation: Insights from the COVID‐19 pandemic

Abstract Identity fusion with the community has been previously found to mediate altruism in post‐disaster settings. However, whether this altruistic response is specifically triggered by ingroup threat, or whether it can also be triggered by global threats remains unclear. We evaluated willingness to sacrifice in the context of the COVID‐19 pandemic across three survey waves. Against expectations, participants fused with the nation (vs. non‐fused) did not differentially respond to a national versus global threat condition. Conversely, social norms decisively influenced willingness to sacrifice in this sample, with fused individuals with stronger norms about social distancing reporting the highest altruistic response during the first weeks of the pandemic. Longitudinally, after an initial peak in the altruistic response, deteriorating social norms mediated decreases in willingness to sacrifice in individuals fused with the nation (vs. non‐fused). Implications of these results for the development of interventions aimed to address global challenges are discussed.
Design Criterion for Dual-Modular Permanent Magnet Linear Synchronous Motor With Long Stroke and High Flexibility

Permanent magnet linear synchronous motor (PMLSM) has a wide application prospect in transmission systems of automatic production, logistics, and other fields. However, the existing PMLSM has the problems of poor flexibility and large thrust fluctuation adapted to load and stroke variation. In order to solve this problem, a dual-modular PMLSM is proposed. The motor can be flexibly configured with multiple-unit-primary and multiple-unit-secondary, and achieve low thrust fluctuation. The matching criterion of unit-primary (UP) and secondary is established to reveal the relationship between the slot/pole combination and the winding utilization. The rules of the average thrust varying with the different UP and unit-secondary (US) lengths are illustrated. Then, the matching criterion of different UP is proposed, and the optimization method of the spacing between UP (S1) is obtained by establishing the end force model. The design standard of the optimal S1 is obtained by combining the two factors of minimum detent force and maximum thrust. The results are verified by the simulation and experiments on a 3UP-96US dual-modular PMLSM circular transmission line system and its prototype.
The Science of Leadership: A Theoretical Model and Research Agenda

I review the empirical literature on leadership, focusing on papers published since 2010. To do so, I introduce a framework composed of two features: whether theories ( a) involve the study of leaders or leading (i.e., the person versus the process) and ( b) conceptualize leadership as a cause or a consequence (i.e., an independent versus dependent variable). This framework can enable future research to accumulate in a more programmatic fashion and help scholars determine where their own studies are located within the landscape of leadership research. I end the review by critically evaluating existing work, arguing that the most popular subcategory of leadership research—lumped conceptualizations of leading, in which scholars examine multiple leader behaviors within a single construct—has significant limitations and may need to be replaced by a greater focus on split conceptualizations of leading, wherein scholars isolate single leader behaviors. Expected final online publication date for the Annual Review of Organizational Psychology and Organizational Behavior, Volume 9 is January 2022. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
PRELIMINARY INVESTIGATIONS OF THE LOW-VELOCITY IMPACT RESPONSE OF A SMART TRIMORPH PLATE FOR ACTIVE DAMAGE MITIGATION

The elastoplastic impact response of a trimorph plate subjected to low-velocity large mass impact has been investigated using analytical models. In formulating the impact model, the displacement of the impactor, vibration of the plate and local contact mechanics were accounted for. The vibration of the trimorph plate was modelled using the classical laminate plate theory, while the local contact mechanics was modelled using a Meyer-type compliance model that accounts for post-yield effects in the loading and unloading stages of the impact. The impact model is a set of coupled nonlinear differential equations and was solved using the NDSolve function in Mathematica™. Both the modelling and solution approach were validated using a benchmark case study. Investigations were carried out for an Al/PVDF/PZT trimorph plate configuration. Contrary to the general position in the literature that the response of a large mass impact is insensitive to the compliance model used to estimate the impact force (1), the simulations of the present impact model show that the indentation history was sensitive to the compliance model used. Also, the elastoplastic compliance model predicted a permanent indentation which the elastic compliance model cannot estimate. Therefore, the use of elastoplastic compliance models in large mass impact analysis is imperative. Finally, the application of a smart trimorph plate with piezoelectric actuator layer for active mitigation of impact damage was discussed.
Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments

The size and training parameters of artificial neural networks have a critical effect on their performance. This paper presents the application of the Taguchi Design of Experiments (DoEs) off-line quality control method in the optimization of the design parameters of a neural network. Being a ‘parallel’ approach, the method offers considerable benefits in time and accuracy when compared with the conventional serial approach of trial and error. The use of the Taguchi method ensures that the quality of the neural network is taken into account at the design stage. The interpretation of the experimental results is based on the statistical technique known as analysis of variance (ANOVA). The signal-to-noise ratio (S/N) is used in designing a robust neural network that is less sensitive to noise. The effect of design parameters and neural network behaviour are also revealed as a result. Although a Wood Veneer Inspection Neural Network (WVINN) is the particular application presented here, the design methodology can be applied to neural networks in general. Copyright © 2000 John Wiley & Sons, Ltd.
Factors Associated with Non-Use of modern Contraceptives among sexually active women in Ethiopia: A multi-level mixed effect analysis

Background: Appropriate contraceptive use prevents unintended pregnancy, protects the health of mother and child, and promotes women's well-being. Use of modern Family planning in Ethiopia was still very low. The purpose of this study was to assess the factors that are associated with non-use of modern family planning services among women of reproductive age. Method: A nationally representative 2016 EDHS women data were used for analysis. Descriptive and multilevel multivariable binary logistic regression models were used to summarize descriptive data and measure statistical association between the dependent and the individual and community level variable, respectively. Adjusted odds ratio and confidence interval were respectively used to measure association and its statistical significance. Result: Among women in the reproductive age group 79.49% did not use a modern contraceptive method. Of this, 65.9 %, were from rural areas. Women age between 25-34 years (AOR=0.54, 95% CI: 0.5-0.61) and age between 34-49 year (AOR=0.62, 95% CI: 0.55-0.71), Women with a primary level of education (AOR=0.8, 95% CI: 0.68-0.87), husband’s education level was secondary and above were 0.83(AOR = 0.83, 95% CI: 0.72-0.96), middle income women (AOR=0.66, 95% CI: 0.58-0.76) , rich women (AOR=0.74,95%CI:0.65-0.85), women delivered at the health facility were lower by 0.84 (AOR = 0.84, 95%CI: 0.73-0.0.98), watched family planning related information from TV (AOR=0.74, 95% CI: 0.65-0.85) had 1-2 and 3 or more children in the previous five years (AOR = 0.21, 95% CI: 0.19-0.23) and (AOR = 0.4, 95% CI: 0.28-0.56), respectively, are individual-level factors that are less likely to not use contraception were identified. Furthermore, Muslim women (AOR=1.4, 95% CI: 1.23-1.62), women living in rural area (AOR=3.43; 95% CI: 2.72-4.32), and ANC visit 1.3(1.07-1.5) were more likely to not use contraception. Further, Women in Afar, Somali, Gambela, Harari, and Dire Dawa were less likely to use modern contraception methods than women in Tigray, but Amhara region had a lower rate of non-use. Conclusion: Family planning interventions should target younger women, women living in rural areas, the poor, and Muslim women. Moreover, initiatives to empower women associated to family planning programs would be beneficial in increasing contraceptive uptake among sexually active women in Ethiopia.
Typology of condition based maintenance

Purpose – The purpose of this paper is the development of an empirically based typology of condition based maintenance (CBM) approaches, including the relevant characteristics and requirements.Design/methodology/approach – An exploratory case study was conducted in a major gas production facility. The CBM typology that resulted from this case study was subsequently tested against a large set of CBM literature.Findings – In the literature, CBM is usually presented as a single theory or practice. The paper finds that CBM in fact includes several different approaches and that each of the approaches is only suitable in situations where the specific characteristics of the approach match the situational characteristics. Aided by these findings, a new typology for CBM was developed. The typology is based on the method for obtaining the expected value, or trend (through statistical vs analytical modeling) and the type of data used (process vs failure data). A subsequent literature survey reveals that the proposed.
Perception Level of Small Medium Enterprises Employees and Their Environmental Corporate Social Responsibility Practices

Purpose: The current study examines the perception level of environmental-oriented CSR practices among the employees of small-medium enterprises in the Coimbatore district of Tamil Nadu, India. Approach/Methodology/Design: It is a cross-sectional field study of environment CSR practices among SMEs employees of Coimbatore district, the western part of Tamil Nadu, India. A multistage random sampling technique is adopted. Sixty-one firms were approached to study the employees’ perception of CSR and environmental impact on CSR. The sample included 369 participants out of the total population of 9027 employees. This study follows the research methodology based on the Eco-labeling principles, designed by the European Commission 2005 Descriptive analysis, Chi-square test, Bartlett sphericity statistical tests, and Structural Equation Modeling in AMOS version 23 were used. Findings: The results indicate the significance of SMEs employees’ perception level according to their age, gender and experience. The results reveal that CSR practices towards environments are related to employee perception level. CSR practices play a very predominant role in changing the mindset of the employees working in small-medium enterprises. Practical Implications: This study also paves a way to diverse thoughts in the exploration of the multimodal dimensions of the internal aspects and external CSR practices. Originality/value: The analysis presents the main directions of pro-environmental initiatives undertaken by enterprises and the perception of employees to understand environmental CSR. The results also indicate the differences in the most frequent pro-environmental activities of enterprises operating in the Coimbatore district of Tamil Nadu, India.
SciNet: Lessons Learned from Building a Power-efficient Top-20 System and Data Centre

SciNet, one of seven regional HPC consortia operating under the Compute Canada umbrella, runs Canada's first and third fastest computers (as of June 2010) in a state-of-the-art, highly energy-efficient datacentre with a Power Usage Effectiveness (PUE) design-point of 1.16. Power efficiency, computational "bang for the buck" and system capability for a handful of flagship science projects were important criteria in choosing the nature of the computers and the data centre itself. Here we outline some of the lessons learned in putting together the systems and the data centre that hosts Canada's fastest computer to date.
COVID-19 Outcomes Among US Military Health System Beneficiaries Include Complications Across Multiple Organ Systems and Substantial Functional Impairment

Abstract Background We evaluated clinical outcomes, functional burden, and complications 1 month after coronavirus disease 2019 (COVID-19) infection in a prospective US Military Health System (MHS) cohort of active duty, retiree, and dependent populations using serial patient-reported outcome surveys and electronic medical record (EMR) review. Methods MHS beneficiaries presenting at 9 sites across the United States with a positive severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) test, a COVID-19-like illness, or a high-risk SARS-CoV-2 exposure were eligible for enrollment. Medical history and clinical outcomes were collected through structured interviews and International Classification of Diseases–based EMR review. Risk factors associated with hospitalization were determined by multivariate logistic regression. Results A total of 1202 participants were enrolled. There were 1070 laboratory-confirmed SARS-CoV-2 cases and 132 SARS-CoV-2-negative participants. In the first month post–symptom onset among the SARS-CoV-2-positive cases, there were 212 hospitalizations, 80% requiring oxygen, 20 ICU admissions, and 10 deaths. Risk factors for COVID-19-associated hospitalization included race (increased for Asian, Black, and Hispanic compared with non-Hispanic White), age (age 45–64 and 65+ compared with <45), and obesity (BMI≥30 compared with BMI<30). Over 2% of survey respondents reported the need for supplemental oxygen, and 31% had not returned to normal daily activities at 1 month post–symptom onset. Conclusions Older age, reporting Asian, Black, or Hispanic race/ethnicity, and obesity are associated with SARS-CoV-2 hospitalization. A proportion of acute SARS-CoV-2 infections require long-term oxygen therapy; the impact of SARS-CoV-2 infection on short-term functional status was substantial. A significant number of MHS beneficiaries had not yet returned to normal activities by 1 month.
Error characteristics of a model-based integration approach for fixed-wing unmanned aerial vehicles

Abstract The paper presents the error characteristics of a vehicle dynamic model (VDM)-based integration architecture for fixed-wing unmanned aerial vehicles. Global navigation satellite system (GNSS) and inertial measurement unit measurements are fused in an extended Kalman filter (EKF) which uses the VDM as the main process model. Control inputs from the autopilot system are used to drive the navigation solution. Using a predefined trajectory with segments of both high and low dynamics and a variable wind profile, Monte Carlo simulations reveal a degrading performance in varying periods of GNSS outage lasting 10 s, 20 s, 30 s, 60 s and 90 s, respectively. These are followed by periods of re-acquisition where the navigation solution recovers. With a GNSS outage lasting less than 60 s, the position error gradually grows to a maximum of 8⋅4 m while attitude errors in roll and pitch remain bounded, as opposed to an inertial navigation system (INS)/GNSS approach in which the navigation solution degrades rapidly. The model-based approach shows improved navigation performance even with parameter uncertainties over a conventional INS/GNSS integration approach.
Third-order voltage-mode active-C band pass filter

In this research article, a new third-order voltage-mode active-C asymmetrical band pass filter is proposed. It uses three numbers of current-controlled current conveyors and three numbers of equal-valued capacitors. The topology has the following important features: uses only three active elements, uses three capacitors, uses all grounded capacitors and no resistor is suitable for integrated circuit design, there is no matching constraint, high input impedance, low output impedance, central frequency can easily be electronically controlled by bias current, and frequency response is asymmetrical in nature. The application of the proposed topology in the realisation of a voltage-mode sixth-order symmetrical band pass filter has been demonstrated. The workability of the proposed topology and sixth-order filter has been confirmed by simulation results using 0.35-µm Austria Micro Systems complementary metal oxide semiconductor technology.
Large-eddy simulation of turbulent free surface flow over a gravel bed

In this paper, a large-eddy simulation study of turbulent free surface flow over a natural rough bed is presented. A three-dimensional multiphase flow model is employed to study the roughness effects on the turbulence properties and free surface dynamics. The governing equations have been discretized using the finite volume method, with the Cartesian cut-cell method being implemented to deal with the precise scanned gravel bed topography and the deformable free surface being captured by a volume of fluid method. The predicted mean flow velocities and turbulence statistics have been compared with experimental data. A close agreement has been obtained between the two sets of results, providing confirmation that this complementary approach to experimental investigations gives further insight into the turbulent free surface flow dynamics over rough beds. It is found that small waves are generated on the free surface due to the roughness effect for the relative low submergence case.
GenIDLEST: A Scalable Parallel Computational Tool for Simulating Complex Turbulent Flows

The paper describes the framework, features, capabilities, and example applications of GenIDLEST, a computational tool for the time-dependent simulation of turbulent flows in complex geometries. Preliminary work in coupling GenIDLEST with GRID enabled software for distributed computing, data archiving, and visualization is also described.