bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ultra-sensitive coupling between organ growth and size by YAP-1 ensures uniform body plan proportions inC. elegans
Authors: Stojanovski Klement , Gheorghe Ioana , Lanjuin Anne , Mair William B. , Towbin Benjamin D. 
Published: September 2022

AbstractImbalance between the growth rate of different organs can amplify to large deviations of their size proportions during development. We show that, for theC. eleganspharynx, such size divergence is prevented by reciprocal coordination of pharyngeal growth with other tissues. Live imaging of hundreds of individuals revealed that small pharynxes grow more rapidly than large pharynxes, catching up in volume during development. Moreover, pharynx-to-body size proportions were robust to even strong tissue-specific inhibition of mTORC1 and insulin signalling. Tissue-specific depletion of these pathways slowed-down the growth of the respective tissue and additionally triggered a systemic growth response that ensured appropriate organ size proportions. By mathematical modelling, we show that the conservation of proportions requires a bi-directional ultra-sensitive coupling of body growth and pharynx size that cannot be explained by a reduction of food uptake alone. Instead, organ growth coordination requires regulation by the mechano-transducing transcriptional co-activator YAP/yap-1. Knock-down ofyap-1makes animals sensitive to tissue-specific inhibition mTORC1 inhibition, causing a disproportionate pharynx and developmental arrest. Our data suggests that mechano-transduction tightly coordinates organ growth duringC. elegansdevelopment to ensure the uniformity of body plan proportions among individuals.
A Comprehensive Conceptual and Computational Dynamics Framework for Autonomous Regeneration of Form and Function in Biological Organisms
Authors: Samarasinghe Sandhya , Minh-Thai Tran Nguyen 
Published: September 2022

AbstractIn biology, regeneration is a mysterious phenomenon that has inspired self-repairing systems, robots, and biobots. It is a collective computational process whereby cells communicate to achieve an anatomical set point and restore original function in regenerated tissue or the whole organism. Despite decades of research, the mechanisms involved in this process are still poorly understood. Likewise, the current algorithms are insufficient to overcome this knowledge barrier and enable advances in regenerative medicine, synthetic biology, and living machines/biobots. We propose a comprehensive conceptual framework for the engine of regeneration with hypotheses for the mechanisms and algorithms of stem cell-mediated regeneration that enables a system like the planarian flatworm to fully restore anatomical (form) and bioelectric (function) homeostasis from any small- or large-scale damage. The framework extends the available regeneration knowledge with novel hypotheses to propose collective intelligent self-repair machines, with multi-level feedback neural control systems, driven by somatic and stem cells. We computationally implemented the framework to demonstrate the robust recovery of both anatomical and bioelectric homeostasis in an in silico worm that, in a simple way, resembles the planarian. In the absence of complete regeneration knowledge, the framework contributes to understanding and generating hypotheses for stem cell mediated form and function regeneration which may help advance regenerative medicine and synthetic biology. Further, as our framework is a bio-inspired and bio-computing self-repair machine, it may be useful for building self-repair robots/biobots and artificial self-repair systems.SummaryA conceptual framework for the machinery of self-repair in living systems that enables a synthetic organism to accurately regenerate form and function from any disturbance and damage.
Natural Genetic Variation in a Dopamine Receptor is Associated With Variation in Female Fertility in Drosophila melanogaster
Authors: Lyman Richard F. , Lyman Rachel A. , Yamamoto Akihiko , Huang Wen , Harbison Susan T. , Zhou Shanshan , Anholt Robert R. H. , Mackay Trudy F. C. 
Published: September 2022

AbstractFertility is a major component of fitness but its genetic architecture remains poorly understood. Using a full diallel cross of 50 Drosophila melanogaster Genetic Reference Panel inbred lines with full genome sequences, we found substantial genetic variation in fertility largely attributable to females. We mapped genes associated with variation in female fertility by genome-wide association analysis of common variants in the fly genome. Validation of candidate genes by RNAi knockdown confirmed the role of the dopamine 2-like receptor (Dop2R) in promoting egg laying. We replicated the Dop2R effect in an independently collected productivity dataset and showed that the effect of the Dop2R variant was mediated in part by regulatory gene expression variation. This study demonstrates the strong potential of genome-wide association analysis in this diverse panel of inbred strains and subsequent functional analyses for understanding the genetic architecture of fitness traits.Author SummaryIn evolutionary genetics, fitness is defined as the number of offspring an individual contributes to the next generation. This is determined by an individual’s viability (its ability to survive past the reproductive age) and its fertility. Although understanding the genetic basis for natural variation in fitness is a major goal of evolutionary and population genetics, the genetic factors that contribute to variation in fertility in natural populations have remained largely unresolved. To address this issue, we took advantage of the Drosophila Genetic Reference Panel, a population of inbred, sequenced fly lines derived from a natural population. In this panel, there is minimal genetic variation among individuals within each line, whereas variation among the lines reflects the variation observed in the original population from which they were derived. We generated all possible pairwise crosses among 50 of these lines (2,500 distinct genotypes) and measured the productivity (number of offspring produced) for each genotype. We found considerable natural variation in productivity that was primarily determined by the female genotype. We performed a genome wide association as analysis and identified and functionally validated a dopamine receptor that plays a major role in determining variation in female fertility through an effect on egg-laying.
Moderating role of resistance to change in the actual adoption of HR analytics in the Indian banking and financial services industry
Authors: Arora Meenal , Prakash Anshika , Mittal Amit , Singh Swati 
Published: September 2022

PurposeThis study aimed to evaluate the factors that determine an individual's decision to adopt human resources (HR) analytics. This study attempts to extend Unified Theory of Acceptance and Use of Technology - 2 (UTAUT2) to identify the lag rate in adoption.Design/methodology/approachResponses were obtained from 387 HR employees of the Banking Financial Services and Insurance (BFSI) sector in metropolitan cities of India through nonprobabilistic purposive sampling. The analysis was performed through hierarchical regression, structural equation modeling and moderation of resistance to change.FindingsThe results suggest that performance expectancy, hedonic motivation and data availability are endorsed by proponents of the intention to adopt HR analytics. In contrast, effort expectancy, social influence, quantitative self-efficacy and habits did not influence behavioral intention (BI). Additionally, the actual use behavior (UB) of HR analytics was determined by BI and facilitating conditions. Furthermore, the moderating effect of resistance to change is explored.Practical implicationsThis study makes a significant contribution to the literature on the adoption of HR analytics. By appropriately concentrating on the adoption intention of HR analytics, organizations can intensify healthy employee relationships, thus encouraging the actual usage of HR analytics.Originality/valueThis study formulates a conceptual framework for the adoption of HR analytics that can be used by top management to formulate strategies for the implementation of HR analytics. Moreover, this study aimed to expand UTAUT2, emphasizing the concept of data availability and quantitative self-efficacy and examining the moderating role of resistance to change in the relationship between BI and UB.
Schaduf: adding a splash of greenery to grim cities
Authors: Tolba Ahmed , Khatcherian Arpi 
Published: September 2022

Learning outcomes
The case covers several topics such as social entrepreneurship, social innovation, green startups, their marketing and growth. The learning outcomes are as follows: identify the characteristics of social entrepreneurs; learn about the concept of social innovation, its challenges and opportunities; apply the concepts environmental sustainability to possible growth strategies; and evaluate the different growth opportunities available to the company in the region.

Case overview/synopsis
The case tells the story of a recently established technology and agriculture startup, Schaduf, founded in Egypt. Their concept mixes tradition with technology to improve the quality of life for city dwellers. Research and development (R&D) plays a big role in this company’s success. Schaduf uses the concepts of soilless farming to grow rooftop crops for low-income households. The company also provides aesthetic solutions for businesses and homes to increase their green spaces. Driven by a desire to transform the monochrome city to a green paradise, two Egyptian entrepreneurs founded Schaduf, an urban micro-farming and eco-friendly venture. The founders of the startup, brothers Sherif and Tarek Hosny, are in the process of expanding their business. They are faced by the dilemma of staying true to their original business concept in developing markets or pursuing other lucrative ventures in more affluent economies. This case offers learners insight into the growth strategy of a social enterprise that relies heavily on R&D to stay ahead of the game. Learners should evaluate the different growth strategies available to the company.

Complexity academic level
The case can be used for senior undergraduate students and at the graduate level in MBA, management, innovation, entrepreneurship and social entrepreneurship programs.

Supplementary materials
Teaching notes are available for educators only.

Subject code
CSS 3: Entrepreneurship.
A novel consensus reaching method for MCGDM in social network with intuitionistic grey linguistic numbers
Authors: Guo Sandang , Li Qian , Jing Yaqian 
Published: September 2022

PurposeThe existing consensus reaching mechanisms ignore the influence of social triangle structure on the decision-makers’ (DMs') weights, and the consensus reaching process (CRP) fails to fully reflect the DMs' subjectivity and can be time consuming and costly. To solve these issues, a novel CRP for multi-criteria group decision-making (MCGDM) problems with intuitionistic grey linguistic numbers (IGLNs) is proposed in this paper.Design/methodology/approachFirst, a weight calculation method is proposed by analysing the triangle structure of DMs' social network and scale of adjacent nodes. Then, a consensus degree index based on three-level polygon area is defined and applied to identify the inconsistent DMs. Finally, the feedback mechanism based on particle swarm optimisation (PSO) algorithm under grey linguistic environment is developed, where subjective trust relationships in social network is utilised to determine the adjustment coefficient.FindingsThe advantages of the proposed method are highlighted by two practical applications of the evaluation of tunnel construction method and the selection of a hotel for the centralised isolation. Comparision analysis and numerical simulation are performed to reveal the effectiveness and applicability of the method.Practical implicationsThe proposed model can not only reflect the effect of triangle structure in social network on DMs' weights, but also reduce the time and cost of decision-making.Originality/valueThe main contribution of this paper is to propose a new MCGDM model based on intuitionistic grey linguistic numbers, which can handle the problem of inconsistency of information more effectively.
Exploring online lesson study as a vehicle for teacher collaborative professional learning
Authors: Holden Mairead 
Published: September 2022

PurposeThis paper presents emerging findings from an ongoing research project which aimed to explore online lesson study (OLS) as a vehicle for teacher collaborative professional learning.Design/methodology/approachTwo parallel OLS cycles with two OLS teams were facilitated by the author using Zoom and Google Drive as digital collaborative tools. Each OLS team comprised three primary teachers who taught in three different schools, with both teams' research lessons taking cross-curricular science, technology, engineering and maths (STEM) focus. In order to explore the influence of OLS on teachers' collaborative professional learning outcomes in STEM, a qualitative case study approach was adopted, with data drawn and thematically analysed from OLS meeting transcripts, semi-structured interviews with teachers and the author's reflective diary. Boundary crossing is used as a theoretical lens to ascertain the potential of OLS as a vehicle for teacher collaborative professional learning.FindingsFindings suggest that OLS facilitated collaborative learning and positively contributed to teacher participants' co-construction of knowledge in relation to STEM teaching approaches.Originality/valueThe study described in this paper represents the first OLS conducted in the Irish context and also represents the first inter-school lesson study (LS) conducted in the Irish primary context.
Monetary transmissions mechanism for Islamic capital markets: evidence from Markov switching dynamic regression approach
Authors: Anwer Zaheer , Sabit Ahmed , Hassan M. Kabir , Paltrinieri Andrea 
Published: September 2022

Purpose
This study akims to investigate the effectiveness of expansionary monetary policy for Islamic capital markets by studying the impact of decrease in policy rates on seven Islamic equity indices for the period 1996–2019. The transmission mechanism may be different for sampled indices, as they are exposed to Shariah screening that discards certain business sectors and puts limit on debt in capital structure.

Design/methodology/approach
This study uses Markov Switching dynamic regression approach of Hamilton (1988).

Findings
The results show little effectiveness of expansionary monetary policy in both Bear and Bull states, for most of the sample indices.

Originality/value
To the best of the authors’ knowledge, no study has made use of dynamic models to assess the association between monetary policy rate and Islamic index prices. Similarly, the authors found no work exploring the effectiveness of expansionary monetary policy actions in different regime for Islamic Indices. This investigation is important in unraveling whether, in the presence of limitations on selection of business activity and choice of capital structure, monetary policy can change the market sentiment, or it will be ineffective. The present study fills this gap.
Tourists' intention to visit green hotels: building on the theory of planned behaviour and the value-belief-norm theory
Authors: Fauzi Muhammad Ashraf , Hanafiah Mohd Hafiz , Kunjuraman Velan 
Published: September 2022

PurposeThis study integrates the theory of planned behaviour (TPB) and value-belief-norm (VBN) theory to investigate tourists' intention and behaviour to visit green hotels in Malaysia.Design/methodology/approachA total of 160 valid questionnaire responses were collected via an online survey. The partial least square–structural equation modelling (PLS-SEM) technique was utilised to assess the study framework and the hypothesised relationship.FindingsThe study's results confirmed that tourists' intention to stay at a green hotel is directly influenced by their subjective norms and perceived behavioural control. Besides, the study confirms the insignificant relationship between green trust, personal norms and tourists' stay intention. On the other hand, perceived morals, responsibility, willingness to pay more and perceived consumer effectiveness were significant in explaining the customer's subjective norms, personal norms and perceived behaviour control.Research limitations/implicationsThe hotel industry may benefit from this empirical outcome to devise effective marketing strategies for retaining their customers, particularly in rejuvenating the impact of the COVID-19 pandemic on the industry.Practical implicationsThis study provides valuable practical implications for green hotel operators to develop effective strategies to attract tourists to green hotel visits.Originality/valueThis study is the first to integrate the extended TPB and VBN theory to understand tourist intention to visit a green hotel. Notably, the extended TPB and VBN theory was practical and helpful in predicting tourist intention to visit a green hotel.
Help and hindrance: family roles concerning small businesses of women in Bangladesh during COVID-19 pandemic
Authors: Jaim Jasmine 
Published: September 2022

PurposeAlthough the extant literature has already recognised the negative impact of homebound responsibilities on women's entrepreneurship during the COVID-19 pandemic, it is yet to know whether and how the family has any other role in women's businesses during this critical period. This research aims to explore the patronising and patriarchal roles of the family regarding women's small businesses in a developing nation during the pandemic.Design/methodology/approachThis feminist study is based on the interviews of women business-owners of a highly patriarchal developing nation, Bangladesh. During the period of the interview, Bangladesh was one of the top ten regions of the world in terms of the identified coronavirus cases.FindingsThe research unveils work-family enrichment by illustrating the help of family members in meeting the challenges of the pandemic period regarding women's certain business activities, such as the innovative production process. Besides, the study reveals the assisting and, in some cases, the non-cooperative approaches of family members concerning additional homebound responsibilities that affect work-family conflict during the COVID-19 pandemic.Originality/valueWhereas the existing literature on women's entrepreneurship regarding the family revolves around work-family conflict due to maternal or caregiving responsibilities during the COVID-19 period, this feminist study substantially contributes to the understanding by revealing how family members help women by getting involved in business activities. It further enriches the prevailing knowledge regarding assisting or hindering activities of family members concerning domestic activities that affect women's businesses during the pandemic.
Swimming against the tide: back to single materiality for sustainability reporting
Authors: Abhayawansa Subhash 
Published: September 2022

Purpose
This paper aims to critically examine the conceptualisation of the principle of materiality, which is one of the most divisive concepts in current regulatory work on standard setting for sustainability reporting. This paper pays particular attention to the current agenda for standard setting for sustainability reporting and the related discourse, including the International Sustainability Standard Board (ISSB) Exposure Draft IFRS S1 General Requirements for Disclosure of Sustainability-related Financial Information. A new conceptualisation of materiality is proposed based on the critique.

Design/methodology/approach
The academic and grey literature relating to current regulatory work on sustainability reporting, responses to the ISSB General Requirement Exposure Draft and sustainability reporting frameworks and standards are reviewed. This review also includes the papers in this journal’s special issue on standard setting for sustainability reporting. This review is used to develop original views on how materiality could be conceptualised and interpreted for sustainability reporting. This paper’s viewpoint is built on the criticisms of various definitions of materiality found in the literature and the author’s original critique of the materiality definitions provided in various reports and standards/frameworks on sustainability reporting.

Findings
Both financial materiality and double materiality approaches have drawbacks. A single materiality approach underpinned by accountability for financial and non-financial capitals instead of decision usefulness for any stakeholder is proposed. The proposed conceptualisation is also underpinned by the need to recognise dependencies between the environment, society and organisations when creating long-term enterprise value. The proposed approach is expected to trigger real changes in organisational practices to pursue a purpose beyond profit.

Practical implications
The proposed approach to defining materiality for sustainability reporting bridges the divide between financial materiality and social and environmental materiality concepts underpinning different standards and regulations.

Social implications
The approach to materiality proposed in this paper is aimed at enabling organisations to pursue United Nations Sustainable Development Goals to make the planet and societies more sustainable.

Originality/value
This paper proposes a new conceptualisation of and approach to materiality determination for sustainability reporting.
Does the use of technology create technology engagement? Comparing three structural models
Authors: Calvo-Porral Cristina , Pesqueira-Sanchez Rogelio 
Published: September 2022

Purpose
Some aspects of technology behaviour remain unclear, such as the generation of technology use and engagement. So, this study aims to address the following question: does engagement with technology drive the use of technology?or does the use of technology create the engagement with technology?

Design/methodology/approach
Based on the uses and gratifications theory, this study compares three alternative competing models that explain technology behaviour on a sample of 715 individuals, using the selection criteria proposed by Mathieson. A comprehensive analysis and comparison of three structural competing models on technology behaviour, namely, “use-and-engagement”, “use-to-engagement” and “engagement-to-use”, are presented.

Findings
Findings show that the “use-and-engagement” model provides a better explanation of technology behaviour and is superior to predict technology behaviour, suggesting that both technology engagement and use could be considered as consequences.

Originality/value
This study’s major contribution is the empirical examination of three structural competing models and the selection of the best explaining model of technology behaviour.