bluuebunny/crossref_metadata_2025_split huggingface dataset:
delilah, prosperoandD-Pax2constitute a gene regulatory network essential for the development of functional proprioceptors
Authors: Avetisyan Adel , Glatt Yael , Cohen Maya , Timerman Yael , Aspis Nitay , Nachman Atalya , Halachmi Naomi , Noon Ella Preger-Ben , Salzberg Adi 
Published: April 2021

ABSTRACTCoordinated animal locomotion depends on the development of functional proprioceptors. While early cell-fate determination processes are well characterized, little is known about the terminal differentiation of cells within the proprioceptive lineage and the genetic networks that control them. In this work we describe a gene regulatory network consisting of three transcription factors-Prospero (Pros), D-Pax2 and Delilah (Dei)-that dictates two alternative differentiation programs within the proprioceptive lineage in Drosophila. We show that D-Pax2 and Pros control the differentiation of cap versus scolopale cells in the chordotonal organ lineage by, respectively, activating and repressing the transcription ofdei.Normally, D-Pax2 activates the expression ofdeiin the cap cell but is unable to do so in the scolopale cell where Pros is co-expressed. We further show that D-Pax2 and Pros exert their effects ondeitranscription via a 262 bp chordotonal-specific enhancer in which two D-Pax2- and three Pros-binding sites were identified experimentally. When this enhancer was removed from the fly genome, the cap- and ligament-specific expression ofdeiwas lost, resulting in loss of chordotonal organ functionality and defective larval locomotion. Thus, coordinated larval locomotion depends on the activity of adeienhancer that integrates both activating and repressive inputs for the generation of a functional proprioceptive organ.
Quadrotor navigation in dynamic environments with deep reinforcement learning
Authors: Fang Jinbao , Sun Qiyu , Chen Yukun , Tang Yang 
Published: April 2021

PurposeThis work aims to combine the cloud robotics technologies with deep reinforcement learning to build a distributed training architecture and accelerate the learning procedure of autonomous systems. Especially, a distributed training architecture for navigating unmanned aerial vehicles (UAVs) in complicated dynamic environments is proposed.Design/methodology/approachThis study proposes a distributed training architecture named experience-sharing learner-worker (ESLW) for deep reinforcement learning to navigate UAVs in dynamic environments, which is inspired by cloud-based techniques. With the ESLW architecture, multiple worker nodes operating in different environments can generate training data in parallel, and then the learner node trains a policy through the training data collected by the worker nodes. Besides, this study proposes an extended experience replay (EER) strategy to ensure the method can be applied to experience sequences to improve training efficiency. To learn more about dynamic environments, convolutional long short-term memory (ConvLSTM) modules are adopted to extract spatiotemporal information from training sequences.FindingsExperimental results demonstrate that the ESLW architecture and the EER strategy accelerate the convergence speed and the ConvLSTM modules specialize in extract sequential information when navigating UAVs in dynamic environments.Originality/valueInspired by the cloud robotics technologies, this study proposes a distributed ESLW architecture for navigating UAVs in dynamic environments. Besides, the EER strategy is proposed to speed up training processes of experience sequences, and the ConvLSTM modules are added to networks to make full use of the sequential experiences.
Unripe Cavendish banana (Musa acuminata) and enzymatic hydrolysis (Flavourzyme®) enhance sensorial and nutritional profiles of functional chicken nugget
Authors: Teo Corine Sze Xuan , Yan See Wan 
Published: April 2021

PurposeHealth promotion and disease prevention by means of functional foods have become more popular among consumers due to the rising trend of non-communicable diseases. Driven by the increased demand, the authors aimed to investigate sensorial, nutritional and physicochemical properties of chicken nugget incorporated with unripe Cavendish banana and Flavourzyme® [Control (without banana and Flavourzyme®), F1 (banana only), F2 (Flavourzyme® only), F3 (banana and Flavourzyme®)].Design/methodology/approachSensory evaluation was carried out by means of 9-point hedonic scale among consumer panels (n = 83) to evaluate control, F1, F2 and F3. These were then subjected to chemical (moisture, protein, fat, ash, carbohydrate, total dietary fibre, potassium and antioxidant contents) and physical (texture profile and water activity) analyses.FindingsSensory acceptance of control was significantly higher compared to other formulations. Fibre, antioxidant and potassium contents were significantly higher, although moisture, protein and fat contents were significantly lower in F1 and F3 compared to control. Remarkably, F1 and F3 were eligible to be declared as “source of dietary fibre”. Therefore, F1, F2 and F3 can serve as healthier alternatives with high antioxidant activity without compromising consumers' acceptance.Originality/valueThis innovative study generates unique findings pertaining to the nutritional values of novel functional chicken nugget and the formulation enables it to be declared as a source of dietary fibre. Results have contributed knowledge to existing literature as well as benefits food manufacturers in creating healthy functional food to better meet the needs and expectations of health-conscious consumers, healthcare providers, governmental organisations and consumer advocacy groups.
Internal environmental management and green human resource management: significant catalysts for improved corporate reputation and performance
Authors: Afum Ebenezer , Agyabeng-Mensah Yaw , Opoku Mensah Abigail , Mensah-Williams Enoch , Baah Charles , Dacosta Essel 
Published: April 2021

PurposeThis paper investigates the combined effect of internal environmental management (IEM) and green human resource management (GHRM) on corporate reputation (CR), environmental performance (EP) and financial performance (FP). The paper further explores the indirect effects of CR and EP between the direct paths.Design/methodology/approachData are garnered from 164 firms from three industries in Ghana. Partial least square structural equation modeling (PLS-SEM) is the methodological technique used to test the hypothesized relationships.FindingsThe result demonstrates that unlike IEM which has a significant effect on FP when implemented in isolation, GHRM does not have a significant effect on FP. However, the joint implementation of IEM and GHRM can provide better results in terms of improved CR, enhanced EP and significant FP improvement. CR and EP were further found to mediate the relationship between the direct paths.Practical implicationsThe results suggest that the joint implementation of IEM and GHRM is critical for firms that seek to enjoy superior reputation, enhance their environmental sustainability and achieve financial gains. Consequently, managers are strongly encouraged to create a sustainable and vibrant company via significant and rational investment in green initiatives like IEM and GHRM.Originality/valueThis study happens to be one of the first to develop a research model that investigates the joint effect of IEM and GHRM within the context of CR, environmental sustainability and FP.
Corporate liquidity, supply chain and cost issues awareness within the Covid-19 context: evidence from us management reports’ textual analysis
Authors: Fassas Athanasios , Bellos Sotirios , Kladakis George 
Published: April 2021

Purpose
The purpose of this study is to assess the management responses and intentions of 3,279 US firms from all industries, before and after the coronavirus outbreak, to identify the level of managerial concern about specific financial issues and potential economic costs of the COVID-19 pandemic.

Design/methodology/approach
This paper uses textual analysis of official management reports to search for specific single words in five domains related to corporate finance and governance. This paper focuses on the relative frequency of single words using a weighting scheme that adjusts for document length and for the inverse document frequency. This paper then uses t-tests to investigate the univariate differences across groups of reports before and after the US stock market crash in February 2020.

Findings
The applied textual and empirical analysis provides evidence that firms’ primary concerns relate to the disruption in supply chains, liquidity need and coronavirus-led recession. This paper also shows that the main cost reduction measure they are considering is salary reduction, rather than workforce reduction. This paper also shows evidence that firm managers are rather swift to provide coronavirus-related information in the US Securities and Exchange Commission (SEC) corporate filings.

Practical implications
The findings provide a primary view of the directions, on which US firms will move in the near future, and thus, they can be used as tools for the formulation of appropriate government policies in the corresponding sectors, which could mitigate the economic risks related to the pandemic. At the business level, the disseminated knowledge can assist firms either in the same sector or in similar/related sectors to “locate” themselves within the map of the pandemic and to adjust or align correspondingly their strategies and decisions as they will have a view of the bigger picture.

Originality/value
The empirical analysis divulges US firms’ management primary concerns after the COVID-19 outbreak, and thus, offers insights to the processes taking place in the US business community and the formulating new corporate and economic reality.
Revisiting the effects of anthropomorphism on brand relationship outcomes: the moderating role of psychological disposition
Authors: Chen Kuan-Ju , Lin Jhih-Syuan 
Published: April 2021

Purpose
Given the thriving attention paid to brand personification in marketing, this paper aims to delve into consumers’ psychological traits that may moderate the positive anthropomorphic effects on brand outcomes specific to relationship marketing.

Design/methodology/approach
A theoretical model was proposed based on a review of the extant literature. Study 1 conducted an online survey and used confirmatory factor analysis to validate the constructs significantly correlated with anthropomorphic processing. Two follow-up studies (Study 2a and 2b) using experimental designs were performed to provide evidence substantiating the moderated mediation in the process.

Findings
Based on the results across the three studies, motivational, rather than cognitive, disposition significantly correlates with perceived anthropomorphism and brand relationship outcomes. Need for belonging serves as a sociality moderator in strengthening the mediating effects of perceived anthropomorphism on brand attachment and brand experience, respectively. Parasocial interaction serves as an effectance moderator in augmenting the mediating effects of perceived anthropomorphism on brand attachment.

Research limitations/implications
This research extends and contrasts the theoretical grounding for anthropomorphism as a set of situational consumer perceptions by integrating its boosting factors in social psychology with emerging brand constructs in marketing and consumer behavior research. More studies are encouraged to probe into the complex anthropomorphic phenomenon.

Practical implications
This research sheds light on marketers’ strategic management efforts in implementing brand personification to target a wide range of market segments with diverse psychological disposition.

Originality/value
Conceiving anthropomorphism as an in-process situational output in information processing, this research provides further understanding of the psychological traits that facilitate the construction of consumer-brand relationships through anthropomorphic perceptions in the context of brand personification.
Board gender diversity: performance and risk of Brazilian firms
Authors: Mastella Mauro , Vancin Daniel , Perlin Marcelo , Kirch Guilherme 
Published: April 2021

PurposeThis study aims to intend to check if female board representation affects performance and risk and to analyse the evolution of the demographic aspects of the presence of women on boards in Brazil.Design/methodology/approachThe authors used a sample of 150 Brazilian publicly traded companies from 2010–2018, with different measures of firm performance, firm risk and women’s presence on the board. The study approach is based on a set of ordinary least squares, quantile and panel data regressions.FindingsThe presence of women on the board has a positive effect on all of our accounting and market performance measures. However, the result of the impact on risk is not conclusive. The study also found that the number of females on the board has a more significant effect at the lower levels of firm performance measured by return on equity, but at the higher levels when measured by Tobin’s Q. Regarding return on assets, the more significant effect happened on the extremes of the performance distribution. The study findings point that market investors place more value in female presence on the board than in director positions.Originality/valueBy estimating the impact of women’s presence on the boards of directors in firm performance and risk, this study aimed to verify this impact in different aspects of the company. In addition, the authors did so in a sample with many years, making it possible to evaluate the historical evolution of the feminine presence in the boards of administration as well as in the groups of directors, assisting Brazilian legislators with new evidence about the possible impacts of Draft Law 7179/2017.
Why do hotels find reducing their carbon footprint difficult?
Authors: Chan Eric S.W. 
Published: April 2021

PurposeThe term “carbon footprint” emerged during the early 2000s, but many hotels remain unaware of what they should do to implement a comprehensive programme to reduce carbon footprint despite having some environmental measures. This study aims to investigate the barriers to reducing hotel carbon footprint and to explore why many hotel managers remain bystanders.Design/methodology/approachIn-depth semi-structured interviews were conducted with hotel executives to understand what hinders hotels’ implementation of comprehensive programmes to reduce their carbon footprint. The NVivo 11 software package was used to organise data and code the transcribed interviews to identify patterns and themes.FindingsThe findings identified several main barriers. They were (1) a lack of understanding, (2) a lack of owner initiative, (3) difficulty with measurements, (4) a lack of stakeholder coordination and support, (5) a lack of a strong mediator, (6) balancing interests and (7) risky investment. The findings of this study suggest some specific strategies for overcoming these barriers.Research limitations/implicationsThe study sample was restricted to the Hong Kong hotel executives interviewed; therefore, the findings will not reflect the full picture of managerial perceptions. Drawing on the foundations laid by this study, researchers could collect quantitative data from hotels in other countries to conduct a cross-cultural study.Originality/valueVery few studies have investigated barriers to carbon-footprint reduction programmes. Specifically, none have been published in the hotel environmental management literature. This study represents a preliminary step towards understanding the barriers that prevent hotels from implementing the programmes.
Influence of microdimple on lubrication performance of textured plunger pump
Authors: Jia Hekun , Zhou Zeyuan , Yin Bifeng , Zhou Huiqin , Xu Bo 
Published: April 2021

Purpose
The purpose of this study is to investigate the influence of dimple radius, depth and density on the lubrication performance of the plunger.

Design/methodology/approach
A lubrication model was adopted to consider eccentricity and deformation during the working process of the plunger, and a rig test was performed to confirm the simulation results. The texture was fabricated using laser surface texturing.

Findings
The simulation results suggested that when dimple radius or depth increases, oil film thickness of the plunger increases before decreasing, and asperity friction displays an opposite trend. Therefore, appropriate microdimple texture could facilitate lubrication performance improvement and reduce the wear. Microdimples were then lased on the plunger surface, and a basic tribological test was conducted to validate the simulation results. The experimental results suggested that the average friction coefficient decreased from 0.18 to 0.13, a reduction of 27.8%.

Social implications
The introduction of microdimple on a plunger couple to reduce friction and improve lubrication is expected to provide a new approach to developing high-performance plunger couple and improve the performance of the internal combustion engine. If applied, the surface texture could help reduce friction by around 27% and cap the cost relative to the plugger friction.

Originality/value
The microdimple texture was introduced into the plunger couple of a vehicle to reduce the friction and improve the performance. Findings suggested that surface texture could be used in the automotive industry to improve oil efficiency and lubrication performance.

Peer review
The peer review history for this article is available at: http://dx.doi.org/10.1108/ILT-07-2020-0259.
Enhanced disturbance observer-based robust yaw servo control for ROVs with multi-vector propulsion
Authors: Gong Yihui , Li Lin , Qi Shengbo , Wang Changbin , Song Dalei 
Published: April 2021

Purpose
A novel proportional integral derivative-extended state disturbance observer-based control (PID-ESDOBC) algorithm is proposed to solve the nonlinear hydrodynamics, parameters perturbation and external disturbance in yaw control of remote operated vehicles (ROVs). The effectiveness of PID-ESDOBC is verified through the experiments and the results indicate that the proposed method can effectively track the desired attitude and attenuate the external disturbance.

Design/methodology/approach
This study fully investigates the hydrodynamic model of ROVs and proposes a control-oriented hydrodynamic state space model of ROVs in yaw direction. Based on this, this study designs the PID-ESDOBC controller, whose stability is also analyzed through Kharitonov theorem and Mikhailov criterion. The conventional proportional-integral-derivative (PID) and active disturbance rejection control (ADRC) are compared with our method in our experiment.

Findings
In this paper, the authors address the nonlinear hydrodynamics, parameters perturbation and external disturbance problems of ROVs with multi-vector propulsion by using PID-ESDOBC control scheme. The advantage is that the nonlinearities and external disturbance can be estimated accurately and attenuate promptly without requiring the precise model of ROVs. Compared to PID and ADRC, both in overshoot and settling time, the improvement is 2X on average compared to conventional PID and ADRC in the pool experiment.

Research limitations/implications
The delays occurred in the control process can be solved in the future work.

Practical implications
The attitude control is a kernel problem for ROVs. A precise kinematic and dynamic model for ROVs and an advanced control system are the key factors to obtain the better maneuverability in attitude control. The PID-ESDOBC method proposed in this paper can effectively attenuate nonlinearities and external disturbance, which leads to a quick response and good tracking performance to baseline controller.

Social implications
The PID-ESDOBC algorithm proposed in this paper can be ensure the precise and fast maneuverability in attitude control of ROVs or other underwater equipment operating in the complex underwater environment. In this way, the robot can better perform undersea work and tasks.

Originality/value
The dynamics of the ROV and the nominal control model are investigated. A novel control scheme PID-ESDOBC is proposed to achieve rapidly yaw attitude tracking and effectively reject the external disturbance. The robustness of the controller is also analyzed which provides parameters tuning guidelines. The effectiveness of the proposed controller is experimental verified with a comparison by conventional PID, ADRC.
Topological drone navigation in uncertain environment
Authors: Patle Bhumeshwar , Chen Shyh-Leh , Patel Brijesh , Kashyap Sunil Kumar , Sanap Sudarshan 
Published: April 2021

Purpose
With the increasing demand for surveillance and smart transportation, drone technology has become the center of attraction for robotics researchers. This study aims to introduce a new path planning approach to drone navigation based on topology in an uncertain environment. The main objective of this study is to use the Ricci flow evolution equation of metric and curvature tensor over angular Riemannian metric, and manifold for achieving navigational goals such as path length optimization at the minimum required time, collision-free obstacle avoidance in static and dynamic environments and reaching to the static and dynamic goals. The proposed navigational controller performs linearly and nonlinearly both with reduced error-based objective function by Riemannian metric and scalar curvature, respectively.

Design/methodology/approach
Topology and manifolds application-based methodology establishes the resultant drone. The trajectory planning and its optimization are controlled by the system of evolution equation over Ricci flow entropy. The navigation follows the Riemannian metric-based optimal path with an angular trajectory in the range from 0° to 360°. The obstacle avoidance in static and dynamic environments is controlled by the metric tensor and curvature tensor, respectively. The in-house drone is developed and coded using C++. For comparison of the real-time results and simulation results in static and dynamic environments, the simulation study has been conducted using MATLAB software. The proposed controller follows the topological programming constituted with manifold-based objective function and Riemannian metric, and scalar curvature-based constraints for linear and nonlinear navigation, respectively.

Findings
This proposed study demonstrates the possibility to develop the new topology-based efficient path planning approach for navigation of drone and provides a unique way to develop an innovative system having characteristics of static and dynamic obstacle avoidance and moving goal chasing in an uncertain environment. From the results obtained in the simulation and real-time environments, satisfactory agreements have been seen in terms of navigational parameters with the minimum error that justifies the significant working of the proposed controller. Additionally, the comparison of the proposed navigational controller with the other artificial intelligent controllers reveals performance improvement.

Originality/value
In this study, a new topological controller has been proposed for drone navigation. The topological drone navigation comprises the effective speed control and collision-free decisions corresponding to the Ricci flow equation and Ricci curvature over the Riemannian metric, respectively.