bluuebunny/crossref_metadata_2025 huggingface dataset:
Yiqi Yangyin Huoxue Method in Treating IdiopathicPulmonary Fibrosis: A Systematic Review and Meta‐Analysis of Randomized Controlled Trials
Authors: Zhou Min , Ye Chao , Liang Qijun , Pei Qiulan , Xu Fan , Wen Hang
Published: October 2020

Objective. Idiopathic pulmonary fibrosis (IPF) is a common respiratory disease that can lead to respiratory failure in severe condition. Despite notable advances in its treatment, some patients show poor effect when treated with conventional western medicine (CWM). Traditional Chinese medicine with the Yiqi Yangyin Huoxue method (YQYYHXM) has been reported to be positive for IPF. In order to explore the effectiveness and safety of YQYYHXM in the treatment of IPF, we performed this meta‐analysis. Method. We searched six databases including Embase, Cochrane, PubMed, CNKI, Wan Fang, and VIP database from their inception to June 1, 2019, and then selected eight studies. Two reviewers independently conducted methodological evaluation and data analysis by the software RevMan 5.3.3 and Stata 12.0. Results. The meta‐analysis revealed that when YQYYHXM was adopted in combination with CWM, cough, chest pain, and shortness of breath of IPF patients improved significantly. After treatment with YQYYHXM combined with CWM, the SGRQ of IPF patients substantially enhanced. YQYYHXM also has positive effect on 6MWD and TLC, but the improvement on FVC was not obvious. In addition, YQYYHXM has no significance in improving PaO2. All the adverse events were reported in the control group. Conclusion. YQYYHXM is more effective and safe as adjunctive treatment for patients with IPF. However, in the future, long‐term, large‐scale, and high‐quality trials will be required to provide more convincing evidence of YQYYHXM due to some limitations of this review.
On the Structural, Morphological, and Electrical Properties of Carbon Nanowalls Obtained by Plasma-Enhanced Chemical Vapor Deposition
Authors: Bita Bogdan , Vizireanu Sorin , Stoica Daniel , Ion Valentin , Yehia Sasa , Radu Adrian , Iftimie Sorina , Dinescu Gheorghe
Published: October 2020

In this study, we investigated the morphological, structural, and electrical properties of carbon nanowall (CNW) structures obtained by plasma-enhanced chemical vapour deposition (PECVD) and underlined the induced effects of argon/nitrogen (Ar/N2) postsynthesis plasma treatment on the electrical behaviour. The top view and cross-section scanning electron microscopy micrographs revealed that the fabricated samples are about 18 μm height, and the edges are less than 10 nm. The Raman analysis showed the presence of the specific peaks of graphene-based materials, i.e., D-band, G-band, D′-band, 2D-band, and D+G-band. The average values of the electrical resistance of fabricated samples were evaluated by current-voltage characteristics acquired at room temperature, in the ranges of 0 V–0.2 V, and an increase was noticed with about 50% after the Ar/N2 postsynthesis plasma treatment compared to pristine samples. Moreover, the Hall measurements proved that the obtained CNW structures had p-type conductivity (Hall coefficient was 0.206 m3/C), and the concentration of charge carriers was 7.8×1019 cm-3, at room temperature.
Effect of Moisture Content on Bursting Liability of Sandstone due to Freeze-Thaw Action
Authors: Li Kesheng , Li Maotong , Zhang Deng , Liu Chuanxiao , Ma Depeng
Published: October 2020

Moisture content (MC) and freeze-thaw (F-T) process have an important influence on the mechanical properties of rock and its rockburst tendency in the cold region. In addition, uniaxial compressive strength (UCS) of rock is of great importance in evaluating weathering durability, frost resistance, and bursting liability of rock. In this study, the UCS of rock and bursting liability index of rock including elastic energy index (WET), impact energy index (WCF), elastic strain energy index (ES), and modified values of brittleness index (BIM) were measured by laboratory tests. These tests were implemented in six different MC (0, 0.58, 1.06, 1.82, 2.43, and 2.80%) and 20 F-T cycles. The relationship between rock mechanical properties, bursting liability of rock, and MC after freeze-thaw damage was established, and the control mechanism of moisture content on mechanical properties and rockburst tendency of rocks in cold regions was revealed. Uniaxial compressive test results showed that the UCS of rock decreases significantly with the increase of MC. Under the action of F-T cycles, WET, WCF, and ES decrease with the increase of MC, and BIM of rock increases gradually. This indicates that the rockburst tendency of sandstone decreases with the increase of MC. To calculate WET, WCF, ES, and BIM of sandstone samples, new empirical equations were established and put forward under different MC after 20 F-T cycles.
Evaluation of Procalcitonin, C-Reactive Protein, and Interleukin-6 as Early Markers for Diagnosis of Neonatal Sepsis
Authors: Morad Emad A. , Rabie Rehab A. , Almalky Mohamed A. , Gebriel Manar G.
Published: October 2020

Background. Neonatal sepsis diagnosis is a challenge because of its nonspecific presentation together with low sensitivity of the time-consuming bacterial cultures. So, many sepsis markers, like C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6), are emerging to improve its diagnosis. Aim. This study was done to investigate the role of CRP, PCT, and IL-6 in promoting the early diagnosis of neonatal sepsis in an attempt to decrease morbidity and mortality. Methods. This cross-sectional study was conducted on 50 neonates suspected with sepsis enrolled from the neonatal intensive care unit (NICU) of Zagazig University Hospitals, Egypt. Blood cultures for these neonates were done before starting antibiotics. Also, bacterial DNA was revealed from the blood by broad-range 16S rDNA polymerase chain reaction (PCR). Measurements of CRP using the immunoturbidimetry method, PCT using fluorescence immunoassay quantitative method, and IL-6 using commercially available ELISA kit were done to all enrolled neonates. Results. Forty-one neonates with proved sepsis were found to be positive in blood culture and/or PCR for bacterial 16S rDNA. The most common isolated organisms were Klebsiella (61.3%), followed by E. coli (9.7%) and CONS (9.7%). We detected much significant higher levels of PCT, CRP, and IL-6 in the proved sepsis group than the suspected neonatal sepsis cases (p≤0.001, 0.001, and 0.004, respectively). Serum PCT levels showed the highest sensitivity, specificity, PPV, NPV, and accuracy of 97.6%, 89%, 97%, 88.9%, and 96% than other studied sepsis markers. Conclusion. PCT has satisfactory characteristics as a good marker than IL-6 and CRP for the diagnosis of neonatal sepsis.
Enhancement of Capacitated Transportation Problem in Fuzzy Environment
Authors: Abd El-Wahed Khalifa Hamiden , Kumar Pavan , Alharbi Majed G.
Published: October 2020

This research work aims to study a capacitated transportation problem (CTP) with penalty cost, supplies, and demands represented by hexagonal fuzzy numbers. Based on ranking function, the supplies and demands are converted to the crisp form. Through the use of the α‐level, the problem is converted into interval linear programming. To optimize the interval objective function, we define the order relations represented by policy maker’s choice between intervals. The maximization (minimization) problem considering the interval objective function is transformed to multiobjective optimization problem based on order relations introduced by the preference of policy makers between interval profits (costs). A numerical example is given for illustration and to check the validity of the suggested approach.
How to Be a Pilgrim: Guidebooks on the Norwegian St. Olav Ways and the Heritagization of Religion
Authors: Johannsen Dirk , Ohrvik Ane
Published: October 2020

The Norwegian St. Olav Ways are currently the largest Northern European project re-institutionalizing pilgrimage as cultural heritage, providing a new framework for vernacular religious practices to a wide audience. In this article we approach the current pilgrimage revival in Northern Europe as part of a trend toward a heritagization of religion that allows new religious self-understandings to emerge. We analyze pilgrim guidebooks to the St. Olav Ways with regard to their narrative scripts, detailing how they can create expectations, inform the pilgrims’ conduct, and direct their attention toward a history that translates into a heritage. Based on a corpus of published pilgrim journals and diaries, we argue that the guidebooks instruct a process of interpretive drift, which influence the pilgrims toward embracing and embodying a new role within the religious field. The guidebooks invite the pilgrims to take on the role of heirs to a medieval European tradition.
Restrictions on Religions due to the covid-19 Pandemic
Authors: Begović Nedim
Published: October 2020

This article explores the restrictions that have been recently placed on religions in Bosnia and Herzegovina on congregating and conducting religious rituals during the covid-19 pandemic, as well as the perceptions and responses of the main religious communities to these restrictions. Our data sources included the state covid-19 regulations, the guidelines of religious communities regarding worship services, congregational prayers, and other activities during the pandemic, and media articles covering religion and the covid-19 issues on a domestic and regional scale. Our research has shown that not all religious communities have been equally supportive of state regulations that restricted the religious freedom of individuals and religious communities. Their responses have ranged from strict harmonization of internal religious guidelines with the state covid-19 regulations to declarative support of public health recommendations while ignoring them in practice.
Commercial-Aircraft-Based Observations for NWP: Global Coverage, Data Impacts, and COVID-19
Authors: James Eric P. , Benjamin Stanley G. , Jamison Brian D.
Published: October 2020

Weather observations from commercial aircraft constitute an essential component of the global observing system and have been shown to be the most valuable observation source for short-range numerical weather prediction (NWP) systems over North America. However, the distribution of aircraft observations is highly irregular in space and time. In this study, we summarize the recent state of aircraft observation coverage over the globe and provide an updated quantification of its impact upon short-range NWP forecast skill. Aircraft observation coverage is most dense over the contiguous United States and Europe, with secondary maxima in East Asia and Australia/New Zealand. As of late November 2019, 665 airports around the world had at least one daily ascent or descent profile observation; 400 of these come from North American or European airports. Flight reductions related to the COVID-19 pandemic have led to a 75% reduction in aircraft observations globally as of late April 2020. A set of data denial experiments with the latest version of the Rapid Refresh NWP system for recent winter and summer periods quantifies the statistically significant positive forecast impacts of assimilating aircraft observations. A special additional experiment excluding approximately 80% of aircraft observations reveals a reduction in forecast skill for both summer and winter amounting to 30%–60% of the degradation seen when all aircraft observations are excluded. These results represent an approximate quantification of the NWP impact of COVID-19-related commercial flight reductions, demonstrating that regional NWP guidance is degraded as a result of the decreased number of aircraft observations.
Whither economic evaluation in the case of COVID-19: What can the field of mental health economics contribute within the Australian context?
Authors: Mihalopoulos Cathrine , Chatterton Mary Lou , Engel Lidia , Le Long Khanh-Dao , Lee Yong Yi
Published: October 2020

COVID-19 has resulted in broad impacts on the economy and aspects of daily life including our collective mental health and well-being. The Australian health care system already faces limitations in its ability to treat people with mental health diagnoses. Australia has responded to the COVID-19 outbreak by, among other initiatives, providing reimbursement for telehealth services. However, it is unclear if these measures will be enough to manage the psychological distress, depression, anxiety and post-traumatic distress shown to accompany infectious disease outbreaks and economic shocks. Decision making has focused on the physical health ramifications of COVID-19, the avoidance of over-burdening the health care system and saving lives. We propose an alternative framework for decision making that combines life years saved with impacts on quality of life. A framework that simultaneously includes mental health and broader economic impacts into a single decision-making process would facilitate transparent and accountable decision making that can improve the overall welfare of Australian society as we continue to address the considerable challenges that the COVID-19 pandemic is creating.
An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process
Authors: Peng Kunkun , Deng Xudong , Zhang Chunjiang , Pan Quan-Ke , Ren Liang , Pang Xinfu
Published: October 2020

Steelmaking-refining-Continuous Casting (SCC) is a key process in iron and steel production. SCC scheduling is to determine an optimal schedule for the SCC process, which is a worldwide and important problem. High-quality SCC scheduling methods will help to allocate production resources effectively and increase the productivity. However, dynamic events (e.g. machine breakdown) may happen in the realistic SCC process, which will make the SCC schedule inexecutable or not optimal. In this case, SCC rescheduling is essential in order to obtain a new optimal schedule suitable for the current production environments. The SCC rescheduling can be modeled as hybrid flowshop rescheduling. In this paper, an Improved Imperialist Competitive Algorithm (IICA) is proposed to address the SCC rescheduling. In the proposed IICA, an empire initialization is first devised for constructing an initial population with diversity and certain quality. Moreover, multiswap-based local search and imperialist competition are designed to improve the exploitation ability of the IICA, while revolution and restart strategy are devised to enhance the exploration ability of the IICA. Comparison experiments with three kinds of ICA have shown the efficiency of the IICA.
Early Vocational Rehabilitation After Serious Injury or Illness: A Systematic Review
Authors: McLennan Vanette , Ludvik Dominika
Published: October 2020

The aim of this systematic review was to compile the evidence for early vocational rehabilitation interventions for people with major injury or illness. Embase, Scopus, Cochrane Library, Medline, CINAHL, and Psycinfo databases were searched. Five hundred abstracts were reviewed for eligibility. Full-text review of 125 studies revealed a total of 25 published studies that met the eligibility criteria to be included in this review evaluating early approaches to vocational rehabilitation and return to work. Findings suggest that intervening early with respect to an individual’s vocational goals is imperative, although the definition of “early” varies. Programs achieve better vocational outcomes when specifically employing comprehensive vocational interventions, including vocational assessment, individualized planning, and follow-up support, to ensure a person’s return to employment is timely and sustained. Integration of vocational rehabilitation professionals within a multidisciplinary team and access to advocacy services were shown to be effective inclusions in early vocational rehabilitation programs for people with a serious injury or illness.
Numerical simulation of the fire emergency evacuation for a metro platform accident
Authors: Xie Jiabin , Chen Kecheng , Kwan Trevor Hocksun , Yao Qinghe
Published: October 2020

A coupled analysis of agent behavior and Computational Fluid Dynamics (CFD) model is applied to investigate the fire evacuation effectiveness in a popular metro station in Guangzhou, China. Due to the high density and complexity of traffic, the concept of Required Safe Escape Time and Available Safe Escape Time (RSET/ASET), which is more flexible and adaptable than the “6 minutes” principle, is applied in the safety assessment of fire evacuation. To pursue a stable simulation of the coupled model, the standard Critical Radiant Flux is used to deter the tenability criteria for exposure to fire and heat. Various related factors, including the fire location, the Heat Release Rate (HRR) of fire, the crowd density, and the operation mode of escalators, are analyzed through a series of simulations. Results indicate that the interaction between fire and humans should not be neglected in the evacuation simulation. Both the fire location and the crowd density have a significant effect on the evacuation, while the HRR of fire has a minor impact. When the accident happens at the entrance of an escalator, RSET is 58.3% longer than that when the accident occurs in the middle of the platform. RSET grows with the increase of the crowd density linearly. Besides, the evacuation efficiency could be partly improved by changing escalators that usually operate in the descending mode into ascending mode.
Support Processes Predict Declines in Attachment Avoidance Across the Transition to Parenthood
Authors: Rholes W. Steven , Eller Jami , Simpson Jeffry A. , Arriaga Ximena B.
Published: October 2020

Attachment orientations in adulthood can change over time, but the specific circumstances that directly affect change are not well understood. Bowlby proposed that those circumstances involve the assimilation of information that is incongruent with an individual’s existing attachment orientation and underlying working models. In this study, 137 couples transitioning to parenthood were followed across the first 2 years of their firstborn child’s life, with both partners providing data at five time-points. Only changes in attachment avoidance were examined in this study. Consistent with predictions, downward changes in avoidance were associated with relationship events that introduced information inconsistent with avoidant working models. For example, people who provided more support to their partners declined in avoidance across the transition period. We discuss these findings and new directions needed to better understand when and how attachment orientations change during major life transitions.
Understanding preservice music teachers’ intention to remain in the profession: An integrated model of the theory of planned behaviour and motivation theory
Authors: Qin Mingfu , Tao Da
Published: October 2020

Music teacher attrition represents a serious educational concern, especially among preservice music teachers due to their lack of sufficient occupational identity and commitment. However, factors influencing their decisions on remaining in/leaving the profession are not well understood. This study proposed and empirically tested a psychological decision model by integrating the theory of planned behaviour and motivation theory to explain preservice music teachers’ intention to remain in the profession. Questionnaires were administrated to 218 preservice music teachers from vocational colleges in China. The results showed that the integrated model could explain 78% of the variance in behavioural intention. Attitude, subjective norm and intrinsic motivation were identified as significant antecedents for preservice music teachers’ intention to remain in the profession, while perceived behavioural control and extrinsic motivation exerted indirect impacts on behavioural intention through mediating roles of intrinsic motivation and attitude. The findings provide important implications for the design of effective policies and strategies to attract and keep preservice music teachers in the profession.
PAC-Bayes control: learning policies that provably generalize to novel environments
Authors: Majumdar Anirudha , Farid Alec , Sonar Anoopkumar
Published: October 2020

Our goal is to learn control policies for robots that provably generalize well to novel environments given a dataset of example environments. The key technical idea behind our approach is to leverage tools from generalization theory in machine learning by exploiting a precise analogy (which we present in the form of a reduction) between generalization of control policies to novel environments and generalization of hypotheses in the supervised learning setting. In particular, we utilize the probably approximately correct (PAC)-Bayes framework, which allows us to obtain upper bounds that hold with high probability on the expected cost of (stochastic) control policies across novel environments. We propose policy learning algorithms that explicitly seek to minimize this upper bound. The corresponding optimization problem can be solved using convex optimization (relative entropy programming in particular) in the setting where we are optimizing over a finite policy space. In the more general setting of continuously parameterized policies (e.g., neural network policies), we minimize this upper bound using stochastic gradient descent. We present simulated results of our approach applied to learning (1) reactive obstacle avoidance policies and (2) neural network-based grasping policies. We also present hardware results for the Parrot Swing drone navigating through different obstacle environments. Our examples demonstrate the potential of our approach to provide strong generalization guarantees for robotic systems with continuous state and action spaces, complicated (e.g., nonlinear) dynamics, rich sensory inputs (e.g., depth images), and neural network-based policies.
Effects of Charging Infrastructure Characteristics on Electric Vehicle Preferences of New and Used Car Buyers in the United States
Authors: Zou Tianqi , Khaloei Moein , MacKenzie Don
Published: October 2020

The used car market is a critical element for the mass adoption of electric vehicles (EVs). However, most previous studies on EV adoption have focused only on new car markets. This article examines and compares the effects of charging infrastructure characteristics on the preferences for EVs among both new and used car buyers. This study is based on an online stated preference choice experiment among private car owners in the U.S., and the results of comparable binomial logistic models show that new and used car buyers generally share similar patterns in preferences for EVs, with exceptions for sensitivity toward fast charging time, and home charging solutions. Respondents’ stated willingness to adopt an EV increases considerably with improvements in driving range, and the effects on new and used car buyers are similar. The study also finds that better availability of charging infrastructure largely increases preference for EVs. The results further reveal that slow and fast charging have complementary effects on encouraging EV adoption as the combination of public slow and fast charging can compensate for the unavailability of home charging.
Testing Our Children When the World Shuts Down: Analyzing Recommendations for Adapted Tele-Assessment during COVID-19
Authors: Krach Shelley Kathleen , Paskiewicz Tracy L. , Monk Malaya M.
Published: October 2020

In 2017, the National Association of School Psychologists described tele-assessment as the least researched area of telehealth. This became problematic in 2020 when COVID-19 curtailed the administration of face-to-face assessments. Publishers began to offer computer-adapted tele-assessment methods for tests that had only previously been administered in person. Recommendations for adapted tele-assessment practice had to be developed with little empirical data. The current study analyzed recommendations from entities including professional organizations, test publishers, and governmental offices. The samples for each were small, but the findings were noteworthy. Test publishers were unanimous in recommending the use of their face-to-face assessments through adapted tele-assessment methods (either with or without caution). Governmental agencies were more likely to recommend not using adapted tele-assessment methods or to use these methods with caution. Finally, professional organizations were almost unanimous in their recommendations to use adapted tele-assessment but to do so with caution. In addition to deviations in the types of recommendations provided, entities varied in how the information was distributed. About one-fifth (23.5%) of all entities surveyed provided no recommendations at all. About 45% of the remaining entities provided recommendations on their Web sites. The rest provided information through shared documents, online toolkits, peer-reviewed journals, and emails. Implications for the field of psychology’s future crisis management planning are discussed in response to these findings.
Innovation culture in education: A systematic review of the literature
Authors: Fuad Dayang Rafidah Syariff M. , Musa Khalip , Hashim Zahari
Published: October 2020

The education system in the 21st century has focused on innovation as a tool that revamps the traditional educational system. The need for quality improvement in the curriculum and the desire to produce students with 21st-century competency skills have made innovation the core emphasis in the educational context. Hence, school cultures that support innovation should be developed and encouraged extensively. However, studies on innovation cultures within the educational context are still scarce. Researchers have also yet to concur on universally agreed features of innovation cultures within education settings. Thus, this systematic literature review has been carried out to identify the norms, beliefs, values, customs and behaviours shared in educational innovation cultures. From a total of 156 studies analysed, this article reviewed 28 most relevant studies within three categories, which were organizational cultures, sociocultural norms and national cultures. Seven studies discussed involved organizational cultures, while 20 studies focused on sociocultural norms. Only one study explored national cultures. The Competing Value Framework, six building blocks of ‘Innovation Quotient’, the theory of innovation culture, the innovation-oriented culture as well as employee skills and competence had been used to explain the innovation cultures within an organization. The themes that emerged in sociocultural norms were the individual personality, interaction, collaboration and teamwork, support as well as leadership of a teacher. Meanwhile, the national innovation cultures were described through Hofstede’s cultural dimensions theory.
The Spatial Politics of Far-right Populism: VOX, Anti-fascism and Neighbourhood Solidarity in Madrid City
Authors: Santamarina Ana
Published: October 2020

This article explores the spatial politics of the Spanish far-right party VOX, deepening discussions around the spaces of xenophobic populism and anti-fascist politics. The paper foregrounds the need of moving beyond the nation-centred, institutional and descriptive approaches that characterise the literature on far-right politics, to focus on the quotidian grounds of far-right mobilisations. Through an analysis of VOX’s politics of hate at the neighbourhood level, I explore the co-constitutive relationship between ‘institutional politics’ and the ‘politics of the street’. Focusing in Hortaleza – a Madrilenian district targeted by VOX’s mobilisation – I analyse the ways the party attempts to exploit situated inequalities linked to the urbanisation of border regimes and how neighbourhood movements are challenging VOX through constructing alternative anti-racist politics of belonging. The paper argues that the centrality of the neighbourhood as the lived space of political socialisation makes it a key scale of articulation of anti-fascist politics and grassroots solidarities.
Contact patterns in the ankle joint after lateral ligamentous injury during internal rotation: A computational study
Authors: Marta G , Quental C , Folgado J , Guerra-Pinto F
Published: October 2020

Lateral ankle instability, resulting from the inability of ankle ligaments to heal after injury, is believed to cause a change in the articular contact mechanics that may promote cartilage degeneration. Considering that lateral ligaments’ insufficiency has been related to rotational instability of the talus, and that few studies have addressed the contact mechanics under this condition, the aim of this work was to evaluate if a purely rotational ankle instability could cause non-physiological changes in contact pressures in the ankle joint cartilages using the ﬁnite element method. A finite element model of a healthy ankle joint, including bones, cartilages and nine ligaments, was developed. Pure internal talus rotations of 3.67°, 9.6° and 13.43°, measured experimentally for three ligamentous configurations, were applied. The ligamentous configurations consisted in a healthy condition, an injured condition in which the anterior talofibular ligament was cut, and an injured condition in which the anterior talofibular and calcaneofibular ligaments were cut. For all simulations, the contact areas and maximum contact pressures were evaluated for each cartilage. The results showed not only an increase of the maximum contact pressures in the ankle cartilages, but also novel contact regions at the anteromedial and posterolateral sections of the talar cartilage with increasing internal rotation. The anteromedial and posterolateral contact regions observed due to pathological internal rotations of the talus are a computational evidence that supports the link between a pure rotational instability and the pattern of pathological cartilaginous load seen in patients with long-term lateral chronic ankle instability.
Energy management strategies for a fuel-cell/battery hybrid power system
Authors: Bendjedia Bachir , Rizoug Nassim , Boukhnifer Moussa , Degaa Laid
Published: October 2020

This article presents a comparative study between the performances of different energy management strategies for hybrid energy storage source supplying electric vehicle. In our case, the hybrid supply is composed of fuel cell as an energy source and lithium-ion batteries as a power buffer. The two storage systems are connected to the DC bus via DC/DC boost converters. The used management strategies influence greatly the hybrid energy storage source performances. For this reason, a new online strategy is developed to improve the fuel consumption and the hybrid source lifetime. The performances (hydrogen consumption and applied stress on each source) of this new strategy are compared with those obtained with literature strategies for 700 km of range. Furthermore, an experimental validation of two online energy management strategies is carried out to validate the simulation results using 1-kW test bench. The experimental results prove that the developed strategy improves hydrogen consumption compared to the frequency strategy and it improves also the lifetime of the hybrid storage system.
Heavy trucks with intelligent control of active suspension based on artificial neural networks
Authors: Hamza Anis , Ben Yahia Noureddine
Published: October 2020

The active control of a suspension system is meant to provide an isolated behavior of the system spring-mass (for example, increased comfort and performance). During this article, we are going to explain the importance of developing an intelligent control approach for active truck suspensions based on the artificial neural network. From where the main objective of this article is to obtain a mathematical model for active suspension systems then build a hydraulic model for active suspension control for trucks using an artificial neural network. In this article, a corresponding artificial neural network nonlinear active suspension controller has been designed and optimized for approximate road profiles, using simulation according to International Organization for Standardization 2631-5 and International Organization for Standardization 8608 standardizations. The model developed with MATLAB Toolbox, estimated and validated from data collected during tests carried out with a truck in other research work. To model the system, the laws of physics are used to describe the system and experimental data or information supplied about the system to determine the parameters of the system. The statement of the problem of this research is to develop a robust artificial neural network controller for the nonlinear active suspension system of the heavy truck that can improve the performances and its verifications using graphical and simulation output. The results of the simulation show that the methodology offers excellent performance. In addition, the robustness of the artificial neural network hydraulic controller is demonstrated for a variety of road profiles that increase the capabilities of the proposed methodology and prove its effectiveness.
Music-Colour Synaesthesia: A Sensorimotor Account
Authors: Curwen Caroline
Published: October 2020

This article presents a sensorimotor account of music-colour synaesthesia, proposing a radically different perspective than is commonly provided. Recent empirical and theoretical work in music cognition moves away from cognitivist accounts, rejects representationalism and embraces an embodied standpoint. It has been shown that some forms of synaesthesia may be elicited from a concept alone and are often accompanied by shapes and textures. It is from this perspective that a skilful engagement with the environment and relevant sensorimotor contingencies may be identified. Here the role of embodied and enactive perception in general music cognition is extended to music-colour synaesthesia, and an argument is made for how the attributes of bodiliness and grabbiness might be found in a sonic environment, and how music listening might be perceived as an act of doing.
Development of the Clients’ Perceptions of Providers’ Cultural Competency Instrument
Authors: Pacquiao Dula F. , Katz Janet R. , Sattler Victoria , Zha Peijia , Daub Katharyn F.
Published: October 2020

Introduction:

This study developed and validated the Clients’ Perceptions of Providers’ Cultural Competency instrument.

Method:

A sequential exploratory mixed design identified three constructs derived from the studies of Leininger and others. Constructs were compared with publications on cultural competency. A panel of experts reviewed for content validity.

Results:

Three hundred and nine mostly Asians and Native Hawaiians completed the questionnaire. Twenty-two items with item-to-total correlation coefficients >.2 were retained. Overall instrument Cronbach’s alpha was .89. Construct validity demonstrated the three constructs accounted for 49.6% of variance supported by distinct items with Cronbach’s alphas of .82, .83, and .76, respectively. Preliminary criterion validity revealed no statistically significant differences in scores based on the location of services received or race/ethnicity.

Discussion:

The Clients’ Perceptions of Providers’ Cultural Competency instrument is congruent with nursing principles of equity and justice by measuring provider cultural competency from a client’s perspective. Active client engagement in care contributes to transcultural nursing’s goals to improve health equity.
The Inclusion of Persons With Disabilities in U.S. Foreign Policy
Authors: Karr Valerie L. , Van Edema Ashley , McCloskey Megan , Geden Krista , Murphy Jim , Nwangwu Uchenna
Published: October 2020

Persons with disabilities living in developing countries look to the United States—the world’s largest contributor to Official Development Assistance (ODA) by volume—as a steadfast supporter of inclusion. This case study examined disability inclusion within the current policies and practices of four federal agencies responsible for either funding or executing U.S. foreign assistance activities. The agencies of interest were the U.S. Department of State (DOS), the U.S. Agency for International Development (USAID), the Peace Corps (PC), and the Millennium Challenge Corporation (MCC). Core areas of investigation were (a) agency disability policies and guidance, (b) the inclusion of persons with disabilities in foreign assistance programs, (c) the employment of persons with disabilities within federal agencies, and (d) physical accessibility of federal agencies. Key findings show that while some progress has been made in regard to the inclusion of persons with disabilities in U.S. foreign aid, a persistent lack of formal accountability measures impedes the inclusion of persons with disabilities diffusing responsibility and results within and across agencies.
Working with Aboriginal young people in sexual health research: a peer research methodology in remote Australia
Authors: Bell Stephen , Aggleton Peter , Lockyer Andrew , Ferguson Tellisa , Murray Walbira , Silver Bronwyn , Kaldor John , Maher Lisa , Ward James
Published: October 2020

In a context of ongoing colonization and dispossession in Australia, many Aboriginal people live with experiences of health research that is done “on” rather than “with” or “by” them. Recognizing the agency of young people and contributing to Aboriginal self-determination and community control of research, we used a peer research methodology involving Aboriginal young people as researchers, advisors, and participants in a qualitative sexual health study in one remote setting in the Northern Territory, Australia. We document the methodology, while critically reflecting on its benefits and limitations as a decolonizing method. Findings confirm the importance of enabling Aboriginal young people to play a central role in research with other young people about their own sexual health. Future priorities include developing more enduring forms of coinvestigation with Aboriginal young people beyond data collection during single studies, and support for young researchers to gain formal qualifications to enhance future employability.
Teaching Causation and Effectuation in the Large Classroom: A Production–Trade Game
Authors: Memar Noushan , Sundström Angelina , Larsson Toon
Published: October 2020

Researchers claim that experiential learning approaches (e.g., gamification) are well-suited to management and entrepreneurship education. However, this research has been conducted mostly in small classroom settings. With the increases in the number of university business students, many business courses have also increased in size. The large classroom setting introduces new pedagogic concerns, in particular regarding the complexity of the teaching–learning environment, as a result of students having diverse educational backgrounds, skills, and learning styles. This article explores this concern in its investigation of the ways in which business higher education can prompt various business behaviors among students in large classrooms.By utilizing the gamification of concepts, we created an experiential learning exercise—the Strategic Business Game. Questionnaire surveys conducted with the 126 university students enrolled into two majors during the game reveal that this educational learning experience prompts the students’ causation and effectuation behaviors. In this educational learning experience, the complexity of the large classroom is seen as an advantage and gives the educators an opportunity to increase the quality of the student interaction. Furthermore, this study emphasizes the appropriateness of experiential learning through gamification on individuals’ business behaviors as revealed in large classes in management and entrepreneurship education.
A Multiskill, 5-Week, Online Positive Emotions Training for Student Well-Being
Authors: Hamdani Maria
Published: October 2020

The aim of this 5-week Positive Emotions Project (PEP) is to teach students simple emotional well-being techniques in an online course. I adapted a clinical intervention that Moskowitz et al. developed for chronically ill patients. The adapted training proved to be effective for academic purposes. In this instructional innovation article, I provide detailed instructional materials, and explain how to set up and conduct the training. Students read simple instructions at the start of every week, for 5 consecutive weeks. Each week focuses on one or two new techniques. I collected data and present evidence of effectiveness. A secondary take-away from the study is to use multiskill interventions, since not all the eight techniques taught through PEP were endorsed equally for future use; feeling gratitude, setting attainable goals, acts of kindness, savoring positive events, and self-affirmation were the most popular PEP skills, whereas mindfulness was the least popular.
Shedding Light on Restorative Spaces and Faculty Well-Being
Authors: Rhew Nicholas D. , Jones David R. , Sama Linda M. , Robinson Sarah , Friedman Victor J. , Egan Mark
Published: October 2020

The nature of academic work has changed dramatically in recent decades, resulting in part in decreased well-being among faculty. In this article, we discuss these changes and their effects, with a focus on coping through restorative spaces. While faculty members may frequently conceal their restorative spaces in fear of how our time spent in them may be criticized, we seek to shed light on this important coping tool through sharing six unique restorative space narratives. Drawing from these vignettes, we encourage faculty members to share their own stories of restoration in their academic communities to counter the busyness narrative that pervades many academic spaces, and we call on colleges and universities to acknowledge and support the creation of restorative spaces for academics within their institutions.
The ISR-1 Drug Case: A Decision-Making Exercise
Authors: Fiset John , Byrne Alyson
Published: October 2020

Organizations around the world are challenged with managing complex decisions; however, many students do not have practical experience with the way in which these organizations go about this process. In this article, we outline an experiential case, based on a contemporary, real-world health policy challenge, which illustrates the ethical and team-based difficulties inherent in making decisions in instances of limited budgets and multiple stakeholders with conflicting priorities. This highly adaptable exercise places students in the role of decision-maker where they must select the best course of action to address a virulent blood-borne disease afflicting their constituents. Throughout this process, students are exposed to a number of decision-making, stakeholder, ethical, and team dynamic issues. The exercise has been successfully implemented in undergraduate- and graduate-level classes and encourages high-quality class discussions in a wide range of organizational behavior and management courses.
A cloud integrated strategy for reconfigurable manufacturing systems
Authors: Guo Bo , Lee Fu-Shin , Lin Chen-I , Lu Yun-Qing
Published: October 2020

Manufacturing industries nowadays need to reconfigure their production lines promptly as to acclimate to rapid changing markets. Meanwhile, exercising system reconfigurations also needs to manage innumerous types of manufacturing apparatus involved. Nevertheless, traditional incompatible manufacturing systems delivered by exclusive vendors usually increase manufacture costs and prolong development time. This paper presents a novel RMS framework, which is intended to implement a Redis master/slave server mechanism to integrate various CNC manufacturing apparatus, hardware control means, and data exchange protocols through developed configurating codes. In the RMS framework each manufacturing apparatus or accessory stands for an object, and information of recognized CNC control panel image features, associated apparatus tuned parameters, communication formats, operation procedures, and control APIs, are stored into the Redis master cloud server database. Through implementation of machine vision techniques to acquire CNC controller panel images, the system effectively identifies instantaneous CNC machining states and response messages once the embedded image features are recognized. Upon demanding system reconfigurations for the manufacturing resources, the system issues commands from Redis local client servers to retrieve the stored information in the Redis master cloud servers, in which the resources for registered CNC machines, robots, and built-in accessories are maintained securely. The system then exploits the collected information locally to reconfigure involved manufacturing resources and starts manufacturing immediately, and thus is capable to promptly response to fast revised orders in a comitative market. In a prototyped RMS architecture, the proposed approach takes advantage of recognized feedback visual information, which is obtained using an invariant image feature extraction algorithm, and effectively commands an industrial robot to accomplish demanded actions on a CNC control panel, as a regular operator does daily in front of the CNC machine for manufacturing.
Matisse and the Organoids: The Art of Science
Authors: Lacalle-Aurioles María
Published: October 2020

Over the past few decades, scientists have transformed the way they do and understand science. They are now exploring their more creative side. This approach has accelerated fascinating discoveries such as human induced pluripotent stem cells and brain organoids; however, they have not been able to jump over the communication barrier with society. La Danse des Astrocytes, a scene observed during a routine microscopy session working on midbrain organoids, has motivated this essay, which urges scientists to find new forms of science communication and to work as a community to achieve the consolidation of a scientific culture.
Multi-crack detection in general cross-section swept wings based on natural frequency changes
Authors: Barzegar Fatemeh , Mohebpour Saeedreza , Alighanbari Hekmat
Published: October 2020

In this article, a multi-crack detection method, which is based on natural frequency changes and the concept of modal strain energy, is for the first time developed for the general cross-section swept tapered wings under coupled bending-torsional vibration and applied to the solid and thin-walled airfoil cross-section wings. The presented method is able to handle the problems with an unknown number of cracks and predicts the number of existent cracks, their locations and depths by optimization of an appropriate objective function. The stress intensity factors of airfoil-shaped crack surfaces are obtained using an approximation method. Inputs of the detection method are natural frequencies of uncracked and cracked wings which are calculated by using a mathematical model and finite element method software ANSYS, respectively, and validated by comparison with former research studies. In the mathematical model, the Rayleigh–Ritz method is used to calculate the coupled bending-torsional mode shapes of the uncracked wing and their corresponding natural frequencies. Results demonstrate that the proposed method has precisely predicted the number, locations and depths of cracks in all case studies.
Multi-order repetitive controller for harmonic current suppression in magnetically suspended rotor system
Authors: Cui Peiling , Li Wensi , Zhou Xinxiu , Li Jinlei , Zheng Fanjun
Published: October 2020

Repetitive controllers are widely used in rotor systems of magnetically suspended control moment gyro, which are responsible for suppressing harmonic current because of sensor runout and mass imbalance of the rotor. However, the rotation frequency of the rotor is not constant in industrial applications, and it is likely to fluctuate around the rotation frequency, which greatly affects the suppression effect of the repetitive controller on harmonic current. This article proposes a new repetitive control method with strong frequency robustness, which still has high suppression accuracy when the rotation frequency is fluctuant. This method is simulated and verified on the magnetically suspended rotor system, which has achieved better results than previous research.