Miracle-dz/UniFAR-FTUs huggingface dataset:
“You come up with different theories every year”: Practitioner perceptions of injury risk factors and player monitoring practices in elite men’s domestic cricket

The aim of the current study was to capture and better understand the current perceptions of injury risk factors and player monitoring practices in elite men’s domestic senior cricket, to help guide practice in this setting. A cross-sectional mixed-methods design was used, consisting of a quantitative survey sent to science and medicine practitioners at all English County clubs (n = 23, with representation from each club) and a set of qualitative interviews (n = 10 from six County clubs). Previous injury and physical fitness were the intrinsic injury risk factors most frequently endorsed as being important, with reduced recovery time and congested match schedules the most frequently endorsed extrinsic risk factors. Monitoring bowling overs was the most common tool for continually assessing injury risk. Player adherence was perceived to be the main factor impacting effective monitoring, along with human resource and practical application of monitoring knowledge. The interviews revealed that communicating value, fostering effective working relationships, and a strong club culture were important for successfully implementing monitoring and prevention initiatives. Cricket presents distinct challenges for its practitioners, and more education and guidance on appropriate monitoring methods and analysis is needed.
Corporate Social Responsibility in the European Banking Sector: Commitment to the 2030 Agenda and Its Relationship with Gender Diversity

This study examines the degree of corporate social responsibility (CSR) in the European banking sector in terms of commitment to the 2030 Agenda Sustainable Development Goals (SDGs). It also explores whether gender diversity on the board of directors can be used to differentiate between companies with different degrees of engagement with the SDGs. This question is important, given that achieving equal opportunities for women is a CSR priority for today’s companies given stakeholders’ demands. Descriptive and inferential statistical analyses are conducted using a sample of the 30 largest banks in Europe in terms of market capitalization as of 15 February 2019. Key conclusions are that most of the analyzed banks target at least one of the SDGs and that the banks that are most committed to Goals 11 (Sustainable Cities and Communities) and 13 (Climate Action) of the 2030 Agenda have greater gender diversity on their boards of directors.
Going beyond the vertical approximation with time‐dependent density functional theory

Since two decades, time‐dependent density functional theory (TD‐DFT) has been in the limelight due to its noteworthy efficiency. Indeed, in many cases, TD‐DFT provides accurate excited‐state properties for a relatively limited computational cost. Recently, there has been a rapidly growing interest in applications of TD‐DFT (partly) exploring the excited‐state potential energy surfaces. In this review, we summarize such TD‐DFT investigations going beyond the vertical approximation and devoted to spectroscopic applications, with a focus on both 0–0 energies and vibrationally resolved absorption and emission spectra. We show how these quantities can be computed, considering various models for the latter, and illustrate their advantages compared to vertical estimates in terms of comparisons with experimental data. WIREs Comput Mol Sci 2016, 6:460–486. doi: 10.1002/wcms.1260
Characteristics of Technology Adoption by Older Adults with Visual Disabilities

ABSTRACT As technology is advancing, a great number of people with disabilities try out and adopt various mainstream and assistive technologies. However, there has been less attention paid to older adults with visual disabilities, leading to poor user experience and technology abandonment. A convenience sample of 20 older adults with visual disabilities (visual acuity ranging from 20/70 to blind with no light perception at all; duration of vision loss, 28.35 ± 23.04 years; age, 72.85 ± 7.96 years) participated in semi-structured interviews and shared their experiences with technology adoption and abandonment. The diffusion of innovation theory helped to obtain a deep understanding of how older users with visual disabilities adopt or decline technologies, various characteristics of which were discussed through relative advantage, compatibility, observability, trialability, and complexity. The relative advantage was further analyzed for usability, safety, and accessibility, and the usability aspect was broken down into more details: effectiveness, efficiency, and satisfaction. This study sheds light on the detailed characteristics that would ultimately contribute to designing, developing, and implementing future innovative technologies that meet the needs of the aging populations with visual disabilities.
Sensing single spins with colour centres in diamond

This thesis reports on recent progress in magnetometry based on the negatively charged nitrogen-vacancy colour centre in diamond. The main focus is thereby the detection of single external nuclear spins. The nitrogen-vacancy (NV) centre is a point defect in diamond, consisting of a substitutional nitrogen atom and an adjacent vacancy in the diamond lattice. Its electronic spin state can be initialised and read out by means of green laser light and coherently manipulated by microwave irradiation. Additionally, it possesses long coherence times even at room temperature. During the last decade the NV centre attracted attention as a high-sensitivity nanoscale NMR sensor. In this work, improvements in the sensitivity are shown, leading to detection volumes down to (2 nm)3, where the detected signal was evoked by around 20 statistically polarised hydrogen spins. In the so-called strong coupling regime, where the interaction between NV sensor and sample spins is the most dominant one, we located individual 29Si nuclear spins with sub-nanometre resolution and obtained single nuclear spin sensitivity within seconds. In addition, the surface noise experienced by shallow NV centres is probed and efficient decoupling from the noise is demonstrated, which allowed to obtain longer coherence times and therefore a better spectral resolution of the NV sensor. In a further experiment, the successful creation of a strongly coupled pair of NV centres is shown. This is an important step towards arrays of strongly coupled NV centres, which in the end may act as a quantum computer.
A new complex generalized Bernstein-Schurer operator

"In this paper, we consider the complex form of a new generalization of Bernstein-Schurer operators. We obtain some quantitative upper estimates for the approximation of these operators attached to analytic functions. Moreover, we prove that these operators preserve some properties of the original function such as univalence, starlikeness, convexity and spirallikeness. "
Second Virial Coefficient of CH4 Vapor in 5 mK-10000 K Temperature Range in Quantum and Classical Regimes

The aim of this work is to study the second virial coefficient B of methane (CH4) vapor over a wide temperature range, T = 5 mK–10000 K. The coefficient is calculated in two temperature regions. First, for T = 5 mK–20 K — the quantum second virial coefficient Bq is determined for the first time. It is found that the behavior of Bq is similar to that of the CH4–CH4 potential. Standard expressions are then used in this quantum regime at the number density n = 1× 10−4 Å−3 to compute other thermodynamic properties of the system, i.e., the Helmholtz free energy per molecule, the internal energy per molecule, the entropy per molecule and the specific heat capacity. Second, for T = 20–10000 K — the classical second virial coefficient Bcl, the Boyle temperature TB and the inversion temperature Ti are determined. The first quantum correction Bqc is calculated over the temperature range T = 20–100 K. It turns out that it is necessary to make such a quantum correction to Bcl for T = 20–60 K, whereas the quantum effects are relatively insignificant for T > 60 K. In general, our results are in very good agreement with previous theoretical and experimental results.
Indonesian Novice EFL Teachers' Perceptions of the Use of Peer Assessment in Speaking Class

There is convincing evidence of the potential advantages of peer assessment. Yet, earlier studies on peer assessment in the learning process have largely focused on students’ views on it. Though much can be inferred from the students’ views about peer assessment in the learning process, there is a limited empirical study on the practical use of peer assessment by teachers and their responses. This study attempts to offer salient information for educational institutions concerning the importance of peer assessment as a part of their instructional design for novice EFL teachers. This qualitative study aims to investigate Indonesian novice EFL teachers’ perceptions of the use of peer assessment in a speaking class as well as its’ benefits and challenges. Data was obtained from six Indonesian novice EFL teachers through a semi-structured interview. Findings revealed the two groups of teachers’ different perceptions, benefits, and challenges of peer assessment which were affected by their understanding of peer assessment and undergraduate study experiences. Hence, educational institutions for pre-service EFL teachers should take peer assessment into account to be integrated into their instructional designs to enable them to experience and perceive peer assessment as a valuable alternative of language assessment.
Influence of Planting and Irrigation Levels as Physical Methods on Maize Root Morphological Traits, Grain Yield and Water Productivity in Semi-Arid Region

Assessing the impact of planting methods and irrigation levels is needed to determine the effects on maize root morphological traits, grain yield, and water productivity in semi-arid regions. A study was initiated on maize (Zea mays L.) from 2015 to 2016, including three planting methods [i.e. broad bed and furrow (BBF), shallow and narrow furrow (SNF) and deep and wider furrow (DWF)] and four irrigation levels [i.e. irrigation once in ten days (I10D), irrigation at 40% depletion of available soil moisture (DASM, I40), irrigation at 50% DASM (I50) and irrigation at 60% DASM (I60)] arranged in a split-plot design with three replications. Results reveal that the DWF method has increased root length, root volume, root surface area and root dry weight compared to SNF and BBF (p < 0.05). DWF and SNF resulted in higher grain yield than BBF, although the DWF grain yield was non-significant with SNF but resulted in 22.40% higher irrigation application. Irrigation at I50 had a significant effect on root length, root surface area, and grain yield, regardless of planting methods. Therefore, where irrigation has been a costly and limited farm input, the practice of SNF and deficit irrigation (I50) could be a viable option for greater water saving and higher grain yields of maize.
On the relationship between perception and production of L2 sounds: Evidence from Anglophones’ processing of the French /u/–/y/ contrast

Previous studies have yielded contradictory results on the relationship between perception and production in second language (L2) phonological processing. We re-examine the relationship between the two modalities both within and across processing levels, addressing several issues regarding methodology and statistical analyses. We focus on the perception and production of the French contrast /u/–/y/ by proficient English-speaking late learners of French. In an experiment with a prelexical perception task (ABX discrimination) and both a prelexical and a lexical production task (pseudoword reading and picture naming), we observe a robust link between perception and production within but not across levels. Moreover, using a clustering analysis we provide evidence that good perception is a prerequisite for good production.
Synthesis and Characterization of Magnetic Fe3O4/Zeolite NaA Nanocomposite for the Adsorption Removal of Methylene Blue Potential in Wastewater Treatment

In this research, the magnetic Fe3O4/zeolite NaA nanocomposite (Fe3O4/ZA), Fe3O4 nanoparticles, and zeolite NaA have been synthesized by facile hydrothermal methods for adsorption removal of methylene blue from aqueous solution. The as-synthesized Fe3O4/ZA nanocomposite was characterized by X-ray diffraction (XRD), MicroRaman analysis, Fourier-transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), energy-dispersive X-ray (EDX) spectroscopy, X-ray fluorescence (XRF), N2 adsorption isotherms (BET), and UV-VIS analysis. The results show that with a small weight loading of Fe3O4, the ∼3.3% Fe3O4/ZA sample exhibits a high adsorption capacity (∼40.36 mg·g−1) and removal efficiency (∼96.8%) compared to that of the zeolite NaA (∼32.99 mg·g−1 and 79.11%, respectively). Interestingly, the removal efficiency and the adsorption capacity increase rapidly with the increase of adsorption time (10–60 minutes) and Fe3O4 loading (∼3.3–9.3% wt.) in the Fe3O4/ZA composition. The adsorption mechanism of MB molecules of the Fe3O4/ZA can be addressed at the combination of the interaction between active sites on the surfaces and edges of the invert spinel ferrite Fe3O4 nanoparticles and zeolite NaA with MB molecules. Our approach provides a simple, efficient, and scalable synthesis process that render practical applications of the magnetic Fe3O4/ZA nanocomposite as a lower-cost adsorbent for wastewater treatment.
Exploring Relationships among Sustainability Organizational Culture Components at a Leading Asian Industrial Conglomerate

Although it is well recognized that organizational culture is important for ensuring corporate sustainability, most existing models on an organizational culture do not have a sustainability-oriented organizational culture. While a few models about sustainability organizational culture are available, they focus on a particular aspect of the sustainability organizational culture (e.g., strategy, practice). To fill in the gap in the literature, the present study aims at developing a sustainability organizational culture model. It identifies components of a sustainability organizational culture, develops an Integrated Sustainability Organizational Culture model, and explores the model by adopting the case study approach, mixed data collection methods, and the working analytical framework. As an empirical contribution, findings indicate that, through a widely shared organizational culture, the sustainability organizational vision and values drive emotionally committed organizational members to perform corporate sustainability practices that lead to enhanced Triple Bottom Line outputs, satisfied stakeholders, and brand equity. As a theoretical contribution, the empirically endorsed Integrated Sustainability Organizational Culture model provides directions for further theoretical development. Managerial implications are discussed.
Compact Band Weighting Module Based on Attention-Driven for Hyperspectral Image Classification

Hyperspectral image (HSI) data have large numbers of bands that probably not all bands are equally informative and predictive for an effective HSI classification. Effective algorithms are highly desired in many real-world HSI applications, especially in cases requiring rapid learning with limited computing power. To address the abovementioned case, we present in this article a novel plug-and-play compact band weighting (CBW) module based on the attention-driven mechanism that evaluates different spectral bands according to their contributions to a given classification task. Compared to existing band weighting (BW) modules with tens of thousands of network parameters by deep learning, the proposed CBW is a lightweight module with only 20 parameters. Both model complexity and time cost are significantly reduced. The CBW module implements BW by making full use of the correlation among the adjacent spectral bands and spectral statistic information and, thereby, leads to the effect of recalibrated HSI. The experimental study has been conducted on three widely used HSI data sets, and results show the superiority of the proposed algorithm over current state-of-the-art methods of BW. The source code is available at https://github.com/JarvenYi/CBW.
Hydroxyalkylation of Phenol with Formaldehyde to Bisphenol F Catalyzed by Keggin Phosphotungstic Acid Encapsulated in Metal–Organic Frameworks MIL-100(Fe or Cr) and MIL-101(Fe or Cr)

Hydroxyalkylation of phenol with formaldehyde to bisphenol F was investigated over the metal–organic frameworks of MIL-100(Fe or Cr) and MIL-101(Fe or Cr) encapsulated with Keggin phosphotungstic acid (PTA). PTA@MIL-100(Fe or Cr)(β) and PTA@MIL-101(Fe or Cr)(β) with different β values (the molar ratio of W/M, where M = Fe or Cr) were prepared and characterized by XRD, BET, FT-IR, TG, SEM, TEM, and ICP. The research results showed that PTA@MIL-100(Fe or Cr)(β) had a higher catalytic activity than PTA@MIL-101(Fe or Cr)(β). PTA@MIL-100(Fe)(0.4) was the most effective among the studied catalysts and had excellent reusability. A 92.12% product yield and 93.01% selectivity for bisphenol F could be obtained over the PTA@MIL-100(Fe)(0.40) catalyst. The effects of the reaction time, reaction temperature, catalyst concentration, and phenol/formaldehyde molar ratio on the reaction performance were also investigated. A plausible mechanism for hydroxyalkylation of phenol with formaldehyde to bisphenol F was proposed.
REVERSIBLE IMMOBILIZATION OF CHINESE WATER DEER {HYDROPOTESINERMIS) WITH KETAMINE AND XYLAZINE

Twenty-one Chinese water deer {Hydropotes inermis) were blowdarted with a combi nation of ketamine and xylazine, resulting in a level of sedation adequate for minor surgical pro cedures in 14 of the deer (mean dosages: ketamine, 7.2 mg/kg; xylazine, 7.3 mg/kg). Seven deer required an additional dose. Effective dosages were higher for males in rut. Heart rate appeared to be markedly depressed in sedated deer. Seven deer were driven into nets, and either xylazine or a ketamine-xylazine mixture was given i.m. or i.v. Xylazine alone (mean dosage, 1.8 mg/kg) produced a highly variable and usually inadequate depth of sedation. One of two alpha-2 adrenergic antag onists, RX821002A or yohimbine, was given i.v. or i.m. in 12 and two deer, respectively, resulting in complete anesthetic reversal. No anesthetic complications were seen in any deer.
Dilemma Zone: Modeling Drivers’ Decision at Signalized Intersections against Aggressiveness and Other Factors Using UAV Technology

Intersection safety and drivers’ behavior are strongly interrelated, especially when the latter are located in dilemma zone. This paper explores, among others, the main factors affecting driver behavior, such as distance to stop line, approaching speed and acceleration/deceleration, and two additional factors, namely, driver’s aggressiveness and driver’s relative position at the onset of the yellow signal. Field data were collected using unmanned aerial vehicle (UAV) technology. Two binary choice models were developed, the first relying on observed data and the latter enriched by the latent factor drivers’ aggressiveness and the vehicles’ relative position. Drivers were classified to aggressive and non-aggressive ones using a latent class model that combined approaching speed and acceleration/deceleration data. Drivers were further grouped according to their expected reaction/decision to stop or cross the intersection in relation to their relative position. Both models equally explain drivers’ decisions adequately, but the second one offers additional explanatory power attributed to aggressiveness. Being able to identify the level of aggressiveness among the drivers enables the calculation of the probability that drivers will cross the intersection even if caught in a dilemma zone or in a zone in which the obvious decision is to stop. Such findings can be valuable when designing a signalized intersection and the traffic time settings, as well as the posted speed limit.
Composite Adaptive Fuzzy Finite-Time Quantized Control for Full State-Constrained Nonlinear Systems and its Application

This article studies the adaptive finite-time quantized tracking control problem for a class of full state-constrained nonlinear systems with unknown control directions based on a modified fractional-order dynamic surface control (FODSC) technique. First, fractional calculus is introduced to filter design to avoid the issue of the “explosion of complexity” exposed in the traditional backstepping technique. To facilitate the control design, barrier Lyapunov functions and Nussbaum gain technique are utilized to handle full state-constrained problem and the unknown control directions, respectively. In addition, the fuzzy logic systems are employed to approximate the unknown nonlinearity of the system. By integrating with the approximation errors and compensating signals, a composite adaptive quantized controllers is designed to guarantee all the signals of the closed-loop systems are bounded and tracking error converges to an arbitrarily small neighborhood of the zero within a finite time. Finally, a mechanical horizontal platform model and a Brusselator model are carried out to verify the effectiveness of the presented control method.
Implementing total productive maintenance in a manufacturing small or medium-sized enterprise

Purpose: This paper develops a ‘light’ total productive maintenance (TPM) model suitable for small and medium-sized enterprises (SMEs). By design, the system is rudimentary, using a relatively small sum of capital investment and resources. The model recommends TPM implementation in three stages, namely plan, improve and sustain. Design/methodology/approach: Literature review provides the inputs to the model development. Action research is used to demonstrate and verify the effectiveness and practicability of the framework, in a SME manufacturing hydraulic parts in China. Overall Equipment Effectiveness (OEE) and awareness of employees were studied before and after the implementation. Findings: The case study shows a significantly improved production efficiency of equipment. The framework structuralizes TPM deployment and binding different levels of organization into the program, from planning, implementation to sustaining the practices. To break the barrier of shop floor resistance, leader must drive many activities unassisted, it therefore necessitates an open endorsement of authority by the steering committee composed of top management. Prudent pilot run of TPM helped to accelerate the implementation at critical equipment, in addition to cultivating experience and hence confidence among staff. Research limitations/implications: This study provides a pragmatic reference to other researches and practitioners to promote a light TPM model in SMEs, without losing the essences of TPM. Being an action research with the case study in a specific manufacturing industry, the resultant evidence therefore is anecdotal. Originality/value: The model adopts a phased method to implement TPM, without aggravating the financial and human resource burden of the enterprise. It promotes the cultivation of employees’ TPM awareness and active involvement, which can lay a solid foundation for the wide implementation of TPM in SMEs.