bluuebunny/crossref_metadata_2025_split huggingface dataset:
The LysR-type transcriptional regulator BsrA (PA2121) controls vital metabolic pathways in Pseudomonas aeruginosa
Authors: Modrzejewska Magdalena , Kawalek Adam , Bartosik Aneta Agnieszka 
Published: June 2021

ABSTRACTPseudomonas aeruginosa, a facultative human pathogen causing nosocomial infections, has complex regulatory systems involving many transcriptional regulators. LTTR (LysR-Type Transcriptional Regulator) family proteins are involved in the regulation of various processes including stress responses, motility, virulence and amino acid metabolism. The aim of this study was to characterize the LysR-type protein BsrA (PA2121), previously described as a negative regulator of biofilm formation in P. aeruginosa. Genome wide identification of BsrA binding sites using ChIP-seq revealed 765 BsrA-bound regions in the P. aeruginosa PAO1161 genome, including 367 sites in intergenic regions. The motif T-N11-A was identified within sequences bound by BsrA. Transcriptomic analysis showed altered expression of 157 genes in response to BsrA excess, of which 35 had a BsrA binding site within their promoter regions, suggesting a direct influence of BsrA on the transcription of these genes. BsrA-repressed loci included genes encoding proteins engaged in key metabolic pathways such as the tricarboxylic acid cycle. The panel of loci possibly directly activated by BsrA, included genes involved in pili/fimbriae assembly as well as secretion and transport systems. In addition, DNA pull-down and regulatory analyses showed the involvement of PA2551, PA3398 and PA5189 in regulation of bsrA expression, indicating that this gene is part of an intricate regulatory network. Taken together, these findings reveal the existence of a BsrA regulon, which performs important functions in P. aeruginosa.IMPORTANCEThis study shows that BsrA, a LysR-type transcriptional regulator from P. aeruginosa, previously identified as a repressor of biofilm synthesis, is part of an intricate global regulatory network. BsrA acts directly and/or indirectly as the repressor and/or activator of genes from vital metabolic pathways (e.g. pyruvate, acetate, tricarboxylic acid cycle), and is involved in control of transport functions and the formation of surface appendages. Expression of the bsrA gene is increased in the presence of antibiotics, which suggests its induction in response to stress, possibly reflecting the need to redirect metabolism under stressful conditions. This is particularly relevant for the treatment of infections caused by P. aeruginosa. In summary, the findings of this study demonstrate that the BsrA regulator performs important roles in carbon metabolism, biofilm formation and antibiotic resistance in P. aeruginosa.
The effect of hull fineness ratio and fin parameters on the optimization of tethered aerostat
Authors: Mahmood Khurrum , Ismail Norilmi Amilia 
Published: June 2021

Purpose
This paper aims to optimize the mass of a tethered aerostat to achieve optimum hull volume, and fins to generate aerodynamic lift to reduce the blow-by.

Design/methodology/approach
The design code of aerostat involving structure, aerostatics, aerodynamics and stability has been developed using MATLAB®. The design code is used to obtain the baseline configuration for a tactical aerostat mission by using the statistical values of the hull fineness ratio and the fin parameters of in-service aerostats. The effect of the design variables that include the hull fineness ratio, fin area and fin position on the aerostat mass and blow-by is determined through sensitivity analysis. The aerostat is optimized with an objective function of minimization of mass for the bounded values of design variables and taking blow-by limit as a constraint.

Findings
This study reveals that the simultaneous optimization of the aerostat hull fineness ratio, fin area and fin position results in an improvement in the design. The aerostat design with optimum values of these parameters helps in a reduction in its size and mass without compromising the blow-by limits.

Research limitations/implications
This study has been conducted by keeping the hull shape constant by selecting standard National Physics Laboratory envelope shape. The aerodynamic model used in the design code is based on empirical relationships that can be improved in future studies that can use high fidelity aerodynamic models using CFD based surrogate models.

Originality/value
The previous studies on optimization of aerostats are limited to hull envelope shape only, whereas this paper presents the optimization of the hull and fin together. The optimized configuration obtained has a reduced mass and can operate within the specified blow-by limits.
Co-operation and consistency: a global survey of professionals involved in reopening schools during the COVID-19 pandemic
Authors: Gray Nicola J. , Jourdan Didier 
Published: June 2021

PurposeDuring the 2020 COVID-19 pandemic, schools closed in haste and were expected to create virtual learning opportunities for their students while they waited to see when and how they might re-open. National governments issued reopening guidance at varying speeds. The purpose of this study was to invite health and education professionals to share what was happening in their country about school reopening in terms of the features and implications of the guidance issued.Design/methodology/approachA qualitative study. Initial interviews informed a semi-structured questionnaire distributed through the global community of UNESCO Chair ‘Global Health and Education’ and partner organisations. Its aim was to collect, analyse and share globally relevant knowledge and practices about school reopening.FindingsThere were 192 useable responses from 43 countries and territories and 1 multi-country region. 20 of these, mainly in the Global North, had received reopening guidance, 23 were still waiting and 1 had not closed its schools. Guidance prioritised public health measures like social distancing, with less emphasis on education impacts. Success came from partnerships between schools, families and local authorities, consistent guidance and enough time and resources for implementation. Fear of infection led to significant absenteeism among students and staff. Respondents waiting for guidance, mainly in the Global South, shared similar concerns and expectations.Originality/valueDescribing first-hand practices and perspectives of health and education professionals from diverse countries and territories about reopening schools.
Barriers and drivers of environmental sustainability: Australian hotels
Authors: Khatter Ajay , White Leanne , Pyke Joanne , McGrath Michael 
Published: June 2021

Purpose
The paper presents the findings of research into the barriers to and drivers of environmentally sustainable policies and practices (ESPPs) in the Australian hotel industry. This study aims to explore these drivers and barriers from the perspective of hotel managers and involve a range of hotels with different hotel industry profiles and management structures.

Design/methodology/approach
The study conducted one-on-one interviews with hotel managers to explore the barriers to and drivers of ESPPs. The purpose of the sample and sample size was to ensure representation of different segments of the hotel industry to include international chain affiliated hotels, Australian chain affiliated hotels and independent hotels.

Findings
An analysis of the findings suggests that the major barriers to implementing and sustaining environmental sustainability in the Australian hotel industry are time, financial challenges, availability of resources and the views and imperatives of hotel owners and shareholders. The major drivers are financial, marketing, owner and shareholder interests and guest preferences. These stakeholders play a major role in creating both barriers and drivers.

Research limitations/implications
Based on the results, this study can modify the application of stakeholder theory to a degree and argue that stakeholders need to co-operate further to drive sustainability. This study demonstrates that management of environmental sustainability is a challenge for many hotels and there is a particular need for small and independent hotels to embrace environmental sustainability to keep pace with their larger counterparts.

Originality/value
This study is broadly informed by the stakeholder theory. Owners, shareholders and associated stakeholders have a significant influence over environmental sustainability in the Australian hotel industry and they create both drivers and barriers. Responses from hotel managers in this research demonstrate that owners act as a barrier to as well as a driver of environmental sustainability initiatives in the Australian hotel industry.
Civil society organisations’ management dynamics and social value creation in the post-conflict volatile contexts pre and during COVID-19
Authors: Arslan Ahmad , Kamara Samppa , Golgeci Ismail , Tarba Shlomo Yedidia 
Published: June 2021

Purpose
The current paper aims to address the management dynamics of civil society organisations (CSOs) in volatile contexts. Along with analysing CSOs’ management dynamics at a general level, it also offers specific insights into their management strategies in response to COVID-19 pandemic.

Design/methodology/approach
This study uses a qualitative research design, where in-depth case studies are undertaken with four CSOs operating in post-conflict volatile Sub-Saharan African economies of Liberia and Sierra Leone.

Findings
Findings revealed that multiple stakeholder management plays an important role in social value creation by CSOs. The findings further state that, in volatile contexts, CSOs appear to have more legitimacy than state functionaries due to their capabilities in dealing with political pressures and conflict sensitivities. The findings also revealed that case CSOs operating in Liberia and Sierra Leone were quick to respond to the COVID-19 pandemic by adjusting their working routines accordingly by switching to online working where possible and repurposing their management strategies. This repurposing of management strategies focussed on minimising economic disruptions caused by COVID-19 and continuing to create social value by helping youth and farmers particularly.

Originality/value
This paper contributes to the extant literature by being one of the first studies, highlighting the specificities of CSO management in volatile (especially Sub-Saharan African post-conflict) contexts and contributes to the literature streams on multiple stakeholder management and social value creation. To the best of the authors’ knowledge, the current paper is also one the first study to address the management strategies of case CSOs in response to the ongoing Covid-19 pandemic in Liberia and Sierra Leone.
Toward a carbon neutral campus: a scalable approach to estimate carbon storage and biosequestration, an example from University of Michigan
Authors: Tonietto Rebecca , O’Brien Lara , Van Haitsma Cyrus , Su Chenyang , Blankertz Nicole , Mosiniak Hannah Grace Shaheen , Short Caleb , Dawson Heather Ann 
Published: June 2021

PurposeThe University of Michigan (U-M) is planning its course toward carbon neutrality. A key component in U-M carbon accounting is the calculation of carbon sinks via estimation of carbon storage and biosequestration on U-M landholdings. Here, this paper aims to compare multiple remote sensing methods across U-M natural lands and urban campuses to determine the accurate and efficient protocol for land assessment and ecosystem service valuation that other institutions may scale as relevant.Design/methodology/approachThis paper tested three remote sensing methods to determine land use and land cover (LULC), namely, unsupervised classification, supervised classification and supervised classification incorporating delineated wetlands. Using confusion matrices, this paper tested remote sensing approaches to ground-truthed data, the paper obtained via field-based vegetation surveys across a subset of U-M landholdings.FindingsIn natural areas, supervised classification incorporating delineated wetlands was the most accurate and efficient approach. In urban settings, maps incorporating institutional knowledge and campus tree surveys better estimated LULC. Using LULC and literature-based carbon data, this paper estimated that U-M lands store 1.37–3.68 million metric tons of carbon and sequester 45,000–86,000 Mt CO2e/yr, valued at $2.2m–$4.3m annually ($50/metric ton, social cost of carbon).Originality/valueThis paper compared methods to identify an efficient and accurate remote sensing methodology to identify LULC and estimate carbon storage, biosequestration rates and economic values of ecosystem services provided.
Follow-the-leader motion strategy for multi-section continuum robots based on differential evolution algorithm
Authors: Gao GuoHua , Wang Pengyu , Wang Hao 
Published: June 2021

Purpose
The purpose of this paper is to present a follow-the-leader motion strategy for multi-section continuum robots, which aims to make the robot have the motion ability in a confined environment and avoid a collision.

Design/methodology/approach
First, the mechanical design of a multi-section continuum robot is introduced and the forward kinematic model is built. After that, the follow-the-leader motion strategy is proposed and the differential evolution (DE) algorithm for calculating optimal posture parameters is presented. Then simulations and experiments are carried out on a series of predefined paths to analyze the performance of the follow-the-leader motion.

Findings
The follow-the-leader motion can be well performed on the continuum robots this study proposes in this research. The experimental results show that the deviation from the path is less than 9.7% and the tip error is no more than 15.6%.

Research limitations/implications
Currently, the follow-the-leader motion is affected by the following factors such as gravity and continuum robot design. Furthermore, the position error is not compensated under open-loop control. In future work, this paper will improve the accuracy of the robot and introduce a closed-loop control strategy to improve the motion accuracy.

Originality/value
The main contribution of this paper is to present an algorithm to generate follow-the-leader motion of the continuum robot based on DE. This method is suitable for solving new arrangements in the process of following a nonlinear path. Then, it is expected to promote the engineering application of the continuum robot.
Target tracking based on standard hedging and feature fusion for robot
Authors: Chan Sixian , Tao Jian , Zhou Xiaolong , Wu Binghui , Wang Hongqiang , Chen Shengyong 
Published: June 2021

Purpose
Visual tracking technology enables industrial robots interacting with human beings intelligently. However, due to the complexity of the tracking problem, the accuracy of visual target tracking still has great space for improvement. This paper aims to propose an accurate visual target tracking method based on standard hedging and feature fusion.

Design/methodology/approach
For this study, the authors first learn the discriminative information between targets and similar objects in the histogram of oriented gradients by feature optimization method, and then use standard hedging algorithms to dynamically balance the weights between different feature optimization components. Moreover, they penalize the filter coefficients by incorporating spatial regularization coefficient and extend the Kernelized Correlation Filter for robust tracking. Finally, a model update mechanism to improve the effectiveness of the tracking is proposed.

Findings
Extensive experimental results demonstrate the superior performance of the proposed method comparing to the state-of-the-art tracking methods.

Originality/value
Improvements to existing visual target tracking algorithms are achieved through feature fusion and standard hedging algorithms to further improve the tracking accuracy of robots on targets in reality.
Investment in outside governance monitoring and real earnings management: evidence from an emerging market
Authors: Ghaleb Belal Ali Abdulraheem , Kamardin Hasnah , Hashed Abdulwahid Ahmed 
Published: June 2021

PurposeThe main aim of this study is to examine the effect of investment in outside governance monitoring (IOGM), through non-executive directors' remuneration (NEDR) and external audit fees (AFEE), on real earnings management (REM) in an emerging market in the Southeast Asia region, Malaysia.Design/methodology/approachThe data comprises 1,056 observations from manufacturing companies listed on Bursa Malaysia for the four-year period, 2013 to 2016. The study tests IOGM individually and aggregately with REM. Feasible generalized least squares (FGLS) regression is used to test the hypotheses.FindingsThe results show that NEDR is negatively and significantly associated with REM. Likewise, AFEE is significantly associated with lower REM. Aggregate IOGM significantly mitigates REM. Additional tests conducted show consistent findings.Research limitations/implicationsThis evidence supports agency theory and signaling theory, that a high level of investment in governance monitoring signals a high demand for monitoring and fewer agency problems. It justifies more investment in outside scrutiny and monitoring to limit the existence of managers' opportunistic behavior in concentrated markets. This study relies on an aggregate measure of REM and focuses on manufacturing companies in Malaysia; thus, the results may not be the same using other measurements and samples.Originality/valueThe study, to the best of the researchers' knowledge, is the first to document evidence in an emerging market suggesting that higher NEDR and AFEE are individually and aggregately associated with lower REM. Policymakers, shareholders and researchers may consider investment in these two mechanisms as a proxy of high-quality monitoring that mitigates REM.
Performance assessment of the built environment in healthcare facilities
Authors: Salaheldin Mohammad H. , Hassanain Mohammad A. , Hamida Mohammad B. , Ibrahim Ahmed M. 
Published: June 2021

Purpose
This study presents findings of post-occupancy evaluation (POE), through a performance assessment, on a polyclinic, as a health-care facility, in Saudi Arabia.

Design/methodology/approach
Review of the literature is conducted to identify the recent publications, on conducting POE, and performance indicators (PIs) assessing performance of health-care facilities. This research uses a triangulated approach by adopting several qualitative and quantitative methods, on a case study. The approach comprised conducting investigative walkthrough to assess the case study facility, interviews with group of occupants to assess its satisfaction levels. The findings were presented to a focus group, where a plan of recommendations was raised to improve the performance of the case study facility.

Findings
A total of 24 PIs were identified, and clustered, mainly under: “Thermal comfort”, “Natural lighting”, “Artificial lighting” and others. The case study has proven a satisfactory performance to the evaluated indicators. However, observations of performance snags were identified that formulated conclusions, related to: “Improvements to air temperature performance in summer season”, “Need of control on natural lighting due to glare”, “Accommodating an over demand for car parking spaces”, Need for development of systems dedicated for collection of occupants satisfaction” and “Enhancing circulation”.

Originality/value
There is a gap identified, through the literature review on availability of systematic conduct of POE, especially in health-care facilities. This paper contributes to the body of knowledge and professional practice, as a guiding systematic scheme, for the conduct of POE, which can be followed and expanded upon by future research.
Leveraging macro-social marketing to achieve sustainable development goals: a city-wide intervention addressing obesity in Brazil
Authors: Bastos Adriana , Veludo-de-Oliveira Tânia , Yani-de-Soriano Mirella , Atalla Marcio , Gualano Bruno 
Published: June 2021

Purpose
The purpose of this paper is to demonstrate how macro-social marketing can contribute to the United Nations 2030 sustainable development’s goal of reducing non-communicable diseases and promoting and well-being by addressing the wicked problem of obesity.

Design/methodology/approach
A comprehensive, population-based intervention developed as a call-to-action movement to address obesity city-wide in Brazil was conducted and analyzed according to a macro-social marketing perspective, combined with the total process planning model (TPP).

Findings
The intervention was successful in effecting systemic change by targeting multi-level audiences to trigger active participation and interaction of multiple sectors at the macro, meso and micro levels; fostering the related positive behaviors of physical activity and healthful eating; and using a complementary range of intervening tools including events, mass media and social digital media.

Originality/value
Using a holistic view that combines macro-social marketing with the TPP, this paper offers factual evidence on how to connect research and action meaningfully to address obesity by engaging, connecting and/or partnering with multiple stakeholders in an effort to promote a healthful lifestyle and well-being.
A feedforward neural network for drone accident prediction from physiological signals
Authors: Sakib Md Nazmus , Chaspari Theodora , Behzadan Amir H. 
Published: June 2021

PurposeAs drones are rapidly transforming tasks such as mapping and surveying, safety inspection and progress monitoring, human operators continue to play a critical role in ensuring safe drone missions in compliance with safety regulations and standard operating procedures. Research shows that operator's stress and fatigue are leading causes of drone accidents. Building upon the authors’ past work, this study presents a systematic approach to predicting impending drone accidents using data that capture the drone operator's physiological state preceding the accident.Design/methodology/approachThe authors collect physiological data from 25 participants in real-world and virtual reality flight experiments to design a feedforward neural network (FNN) with back propagation. Four time series signals, namely electrodermal activity (EDA), skin temperature (ST), electrocardiogram (ECG) and heart rate (HR), are selected, filtered for noise and used to extract 92 time- and frequency-domain features. The FNN is trained with data from a window of length t = 3…8 s to predict accidents in the next p = 3…8 s.FindingsAnalysis of model performance in all 36 combinations of analysis window (t) and prediction horizon (p) combinations reveals that the FNN trained with 8 s of physiological signal (i.e. t = 8) to predict drone accidents in the next 6 s (i.e. p = 6) achieved the highest F1-score of 0.81 and AP of 0.71 after feature selection and data balancing.Originality/valueThe safety and integrity of collaborative human–machine systems (e.g. remotely operated drones) rely on not only the attributes of the human operator or the machinery but also how one perceives the other and adopts to the evolving nature of the operational environment. This study is a first systematic attempt at objective prediction of potential drone accident events from operator's physiological data in (near-) real time. Findings will lay the foundation for creating automated intervention systems for drone operations, ultimately leading to safer jobsites.