bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complex genetic architecture of three-dimensional craniofacial shape variation in domestic pigeons
Authors: Boer Elena F. , Maclary Emily T. , Shapiro Michael D. 
Published: March 2021

AbstractDeciphering the genetic basis of vertebrate craniofacial variation is a longstanding biological problem with broad implications in evolution, development, and human pathology. One of the most stunning examples of craniofacial diversification is the adaptive radiation of birds, in which the beak serves essential roles in virtually every aspect of their life histories. The domestic pigeon (Columba livia) provides an exceptional opportunity to study the genetic underpinnings of craniofacial variation because of its unique balance of experimental accessibility and extraordinary phenotypic diversity within a single species. We used traditional and geometric morphometrics to quantify craniofacial variation in an F2 laboratory cross derived from the straight-beaked Pomeranian Pouter and curved-beak Scandaroon pigeon breeds. Using a combination of genome-wide quantitative trait locus scans and multi-locus modeling, we identified a set of genetic loci associated with complex shape variation in the craniofacial skeleton, including beak curvature, braincase shape, and mandible shape. Some of these loci control coordinated changes between different structures, while others explain variation in the size and shape of specific skull and jaw regions. We find that in domestic pigeons, a complex blend of both independent and coupled genetic effects underlie three-dimensional craniofacial morphology.
Preparation ofE. coliRNA polymerase transcription elongation complexes for systematic RNA assays
Authors: Strobel Eric J. 
Published: March 2021

AbstractRNA folds into secondary and tertiary structures that can mediate diverse cellular functions. Understanding how RNA sequence directs the formation of biologically active structures requires approaches that can comprehensively assess how changes in an RNA sequence affect its structure and function. Towards this goal, I have developed a general method for purifyingE. coliRNA polymerase (RNAP) transcription elongation complexes (TECs) for use in systematic RNA assays. My approach depends on two constituent technologies: First, I have designed anE. coliσ70promoter that can be efficiently barcoded using a one-pot series of enzymatic reactions. Second, I have developed a strategy for purifying promoter-initiatedE. coliRNAP TECs by selective photo-elution from streptavidin-coated magnetic beads. Together, these methods establish a platform for the development of TEC Display assays in which the functional properties of RNA sequence variants can be recorded by fractionating and quantitatively barcoding a TEC library.
Structure Can Predict Function in the Human Brain: A Graph Neural Network Deep Learning Model of Functional Connectivity and Centrality Based on Structural Connectivity
Authors: Neudorf Josh , Kress Shaylyn , Borowsky Ron 
Published: March 2021

AbstractAlthough functional connectivity and associated graph theory measures (e.g., centrality; how centrally important to the network a region is) are widely used in brain research, the full extent to which these functional measures are related to the underlying structural connectivity is not yet fully understood. Graph neural network deep learning methods have not yet been applied for this purpose, and offer an ideal model architecture for working with connectivity data given their ability to capture and maintain inherent network structure. This model applied here to predict functional connectivity and centrality from structural connectivity accounted for 89% of the variance in mean functional connectivity, 56% of the variance in individual-level functional connectivity, 99% of the variance in mean functional centrality, and 81% of the variance in individual-level functional centrality. This model provides a new benchmark for performance and represents a novel finding that functional centrality can be robustly predicted from structural connectivity. Regions of particular importance to the model’s performance as determined through lesioning are discussed, whereby regions with higher centrality have a higher impact on model performance. Future research on models of patient, demographic, or behavioural data can also benefit from this graph neural network method as it is ideally-suited for capturing connectivity and centrality in brain networks. These results have set a new benchmark for prediction of functional connectivity from structural connectivity, and models like this may ultimately lead to a way to predict functional connectivity in individuals who are unable to do fMRI tasks (e.g., non-responsive patients).
A model of Ponto-Geniculo-Occipital waves supports bidirectional control of cortical plasticity across sleep-stages
Authors: Shao Kaidi , Ramirez Villegas Juan F. , Logothetis Nikos K. , Besserve Michel 
Published: March 2021

AbstractDuring sleep, cortical network connectivity likely undergoes both synaptic potentiation and depression through system consolidation and homeostatic processes. However, how these modifications are coordinated across sleep stages remains largely unknown. Candidate mechanisms are Ponto-Geniculo-Occipital (PGO) waves, propagating across several structures during Rapid Eye Movement (REM) sleep and the transitional stage from non-REM sleep to REM sleep (pre-REM), and exhibiting sleep stage-specific dynamic patterns. To understand their impact on cortical plasticity, we built an acetylcholine-modulated neural mass model of PGO wave propagation through pons, thalamus and cortex, reproducing a broad range of electrophysiological characteristics across sleep stages. Using a population model of Spike-Time-Dependent Plasticity, we show that cortical circuits undergo different transient regimes depending on the sleep stage, with different impacts on plasticity. Specifically, PGO-induced recurrent cortical activities lead to the potentiation of cortico-cortical synapses during pre-REM, and to their depression during REM sleep. Overall, these results shed light on how the dynamical properties of sleep events propagating to cortical circuits can favor different types of local plastic changes. The variety of events occurring across sleep stages may thus be instrumental in controlling the reorganization of cortical networks from one day to the next.Significance statementConsiderable evidence supports rescaling of cortical synaptic connec-tions during sleep, requiring both long term potentiation to consolidate newly acquired memories, and long-term depression to maintain homeostatic levels of brain activity. However, which aspects of sleep activity contribute to this bidirectional control of plasticity remains unclear. This computational modeling study suggests that widespread transient phenomena called Ponto-geniculo-occipital (PGO) waves, have a sleep-stage dependent effect on plasticity. The alternation between sleep stages can thus be exploited in combination with spontaneously occurring transients, to trigger both up- and down-regulating effects on cortical connectivity, and may explain why the basic structure of sleep-cycles is a well-preserved property across mammalian species.
Encoding innate ability through a genomic bottleneck
Authors: Koulakov Alexei , Shuvaev Sergey , Lachi Divyansha , Zador Anthony 
Published: March 2021

AbstractAnimals are born with extensive innate behavioral capabilities, which arise from neural circuits encoded in the genome. However, the information capacity of the genome is orders of magnitude smaller than that needed to specify the connectivity of an arbitrary brain circuit, indicating that the rules encoding circuit formation must fit through a “genomic bottleneck” as they pass from one generation to the next. Here we formulate the problem of innate behavioral capacity in the context of artificial neural networks in terms of lossy compression of the weight matrix. We find that several standard network architectures can be compressed by several orders of magnitude, yielding pre-training performance that can approach that of the fully-trained network. Interestingly, for complex but not for simple test problems, the genomic bottleneck algorithm also captures essential features of the circuit, leading to enhanced transfer learning to novel tasks and datasets. Our results suggest that compressing a neural circuit through the genomic bottleneck serves as a regularizer, enabling evolution to select simple circuits that can be readily adapted to important real-world tasks. The genomic bottleneck also suggests how innate priors can complement conventional approaches to learning in designing algorithms for artificial intelligence.
Fmrp regulates oligodendrocyte lineage cell specification and differentiation
Authors: Doll Caleb A. , Scott Kayt , Appel Bruce 
Published: March 2021

AbstractNeurodevelopment requires the precise integration of a wide variety of neuronal and glial cell types. During early embryonic development, motor neurons and then oligodendrocyte precursor cells (OPCs) are specified from neural progenitors residing in the periventricular pMN progenitor domain of the spinal cord. Following gliogenesis, OPCs can differentiate as oligodendrocytes (OLs) – the myelinating glial cells of the central nervous system - or remain as OPCs. To generate unique cell types capable of highly divergent functions, these specification and differentiation events require specialized gene expression programs. RNA binding proteins (RBPs) regulate mRNA localization and translation in the developing nervous system and are linked to many neurodevelopmental disorders. One example is Fragile X syndrome (FXS), caused by the loss of the RBP fragile X mental retardation protein (FMRP). Importantly, infants with FXS have reduced white matter and we previously showed that zebrafish Fmrp is autonomously required in OLs to promote myelin sheath growth. We now find that Fmrp regulates cell specification in pMN progenitor cells and subsequently promotes differentiation of OPCs, such thatfmr1mutant zebrafish embryos generate excess OPCs and fewer differentiating OLs in the developing spinal cord. Although the early patterning of spinal progenitor domains appears largely normal infmr1mutants during early embryogenesis, Shh signaling is greatly diminished. Taken together, these results suggest cell stage-specific requirements for Fmrp in the specification and differentiation of oligodendrocyte lineage cells.
A high throughput SEC23 functional interaction screen reveals a role for focal adhesion and extracellular matrix signalling in the regulation of COPII subunit SEC23A
Authors: Jung Juan , Khan Muzamil Majid , Landry Jonathan , Halavatyi Aliaksandr , Machado Pedro , Reiss Miriam , Pepperkok Rainer 
Published: March 2021

ABSTRACTProteins that enter the secretory pathway are transported from their place of synthesis in the Endoplasmic Reticulum to the Golgi complex by COPII coated carriers. The components of the COPII transport machinery have been well characterized, but the network of proteins that regulate these components in response to extracellular cues have remained largely elusive. The discovery of such regulatory proteins is crucial for understanding how cells integrate extracellular and intracellular information to fine-tune membrane traffic in the secretory pathway. A key group of proteins that plays a central role in the regulation of membrane traffic is associated with the cytoskeleton. Using high throughput microscopy of the well-established VSVG transport from the ER to the plasma membrane, we comprehensively screened 378 cytoskeleton-associated proteins for their functional interaction with the COPII components SEC23A and SEC23B using a double knockdown approach. Ranking of the transport effectors identified 20 cytoskeleton-associated proteins as the strongest functional interactors of SEC23, most of them not previously associated with the secretory pathway. Knockdown of a subgroup of these interactors (FERMT2, MACF1, MAPK8IP2, NGEF, PIK3CA, ROCK1), associated with cell adhesion, not only induced changes in focal adhesions and the expression of adhesion-related genes but led to the specific downregulation of SEC23A, a SEC23 paralogue that has been implicated in the secretion of extracellular matrix (ECM) components. Furthermore, SEC23A downregulation could also be recapitulated by plating cells on ECM and was dependent on focal adhesions function. Altogether, our results identify a network of cytoskeleton-associated proteins connecting focal adhesions and ECM-related signalling with the gene expression of the COPII secretory machinery.
Does one size fit all? CEO profiles and strategic management choices
Authors: Garcés-Galdeano Lucia , García-Olaverri Carmen , Huerta Emilio 
Published: March 2021

PurposeUpper echelons theory (UET) stands that cognitive bases of the CEO influence the field of vision and interpretation of the environment and affect its decisions about the firm. The main objective of the paper is to see if there are different CEO profiles, which can be associated with different strategic management choices.Design/Methodology/approachUsing a representative sample of 1,236 small firms in high- and medium-high-technology, both in industrial and service sectors, the authors identify five CEO typologies through cluster analysis. The classification is based on CEO's personal characteristics such as education, tenure in the company or entrepreneurial experience. Multivariate analysis is carried out to establish the possible association between belonging to these clusters and some strategic decisions such as orientation towards innovation, efficiency or internationalisation. The unit of analysis is the firm focusing on the CEO.FindingsThe authors conclude that it is possible to classify the CEOs of these companies into five well-differentiated groups, with specific profiles. We find a significant association between belonging to a CEO profile and strategic choices taken in the firm. Managers who have been CEOs in several companies and have some entrepreneurial experience frequently guide the company towards innovation and internationalisation. CEOs with a lot of experience but limited to a single company often look for process efficiency.Furthermore, it is observed that the belonging of these clusters is not evenly distributed in the group of companies analysed. Instead, depending on size and family / no family issues, the authors find a different presence of the CEO typologies.Originality/valueThe work provides relevant information in the field of small-, high- and medium-high-technology companies in relation to the profile of the CEO.
Collaborate to learn and learn to collaborate: a case of exploitative learning in the inter-organizational project
Authors: Liu Yan , Amini-Abyaneh Arash , Hertogh Marcel , Houwing Erik-Jan , Bakker Hans 
Published: March 2021

PurposeManagement of inter-organizational projects focuses on the collective benefits of a group of organizations on a shared activity for a limited period and the coordination among them. However, how learning is facilitated in the inter-organizational project remains under-developed in the literature.Design/methodology/approachThis research analyses the exploitative learning process in the longest tunnel project on land in the Netherlands realized in a densely populated area. Data were collected through archived documents, in-depth interviews, site visits in the ethnographic research to analyze the actors, the daily practices and social situations in projects.FindingsThe empirical findings indicate that exploitative learning is promoted positively between the owner and the contractor and internally within the contractor. The most significant change that the exploitative learning process has led to is the change in mindset toward the collaboration. Project culture is considered to be shaped by exploitative learning in the inter-organizational project. However, there is a gap between the transfer of knowledge from the inter-organizational project to the parent organization.Originality/valueThe findings have implications for understanding learning in the inter-organizational project setting.
Power outage and proactive service performance: the role of patient incivility and job stress
Authors: Yasin Raheel , Jan Ghulam 
Published: March 2021

PurposeDrawing from transactional stress and conservation of resource theories, this study untangles the relationship between power outage, patient incivility, job stress and proactive service performance. Further, this study also explores the mediating role of patient incivility and job stress.Design/methodology/approachA questionnaire-based survey was used, and data were collected from 275 healthcare professionals working in various public hospitals in Pakistan through convenience sampling. Structural equation modeling (SEM) via Smart PLS was used for data analysis.FindingsResults revealed that power outage has significant positive impact on patient incivility and patient incivility has significant direct effect on job stress. Job stress has significant negative relationship with proactive service performance. Findings also confirmed that patient incivility mediates the relationship between power outage and job stress, and job stress mediates the relationship between patient incivility and proactive service performance.Practical implicationsThis study helps the health administrators to think about the service standards of the public hospitals. Implications of this study are not limited to health sector. This study is useful for other service sectors where performance of employee affected by power outage. In addition to this, the current research helps to conduct research in other developing and underdeveloped countries which also face the problem of power outage.Originality/valueThis study marks the first step toward establishing power outage as an organizational behavior construct by demonstrating that power outage impacts significantly on proactive service performance. This study also explored the relationship between job stress and proactive service performance which was also not explored before.
“Testing the water” – prior-online market entry in China
Authors: Hardaker Sina , Zhang Ling 
Published: March 2021

PurposeThe paper aims to investigate the new market entry strategy of the international grocery retailers Aldi Süd and Costco in China; analyzing if and how their prior-online market entry reflects a strategic response to organizational challenges in the Chinese market, which is a pioneer in the use of digital technologies and the provision of digital services.Design/methodology/approachThe article identifies major challenges faced by international grocery retailers in China and discusses these with the help of the conceptual approach of embeddedness. The paper is based on expert interviews with senior executives of the two international retailers and other retail specialists and consultants.FindingsThe prior-online market entry by Aldi Süd and Costco represents a strategic response to organizational challenges that have to be faced in an increasingly challenging and highly digitalized Chinese market. Prior-online market entry allows the two retailers to experiment with the unique and heterogeneous Chinese market and build network and territorial embeddedness to facilitate the establishment of the physical store network. Both retailers utilize online stores to build relation and network with suppliers and customers and to understand Chinese consumer preferences. Yet, the localization strategy of Aldi Süd and Costco vary greatly.Originality/valueGrocery retailers' prior-online expansion strategy has not yet been the focus of academic research. In regard to global grocery retailers, such as Aldi Süd and Costco, previous research argued that they were prepared to accept a lower expansion speed in order to expand at minimum risk and cost and mainly in countries which are regarded as having higher cultural proximity. The paper reveals the potential of the prior-online market entry strategy to change the internationalization behavior of grocery retailers. In addition, it contributes to the understanding of the evolution of market entry strategy into advanced digital economies in the coming new decade.
Prioritizing factors determining environmental responsibility using fuzzy analytical hierarchy process: evidence from India
Authors: Garg Aashish , Dhaliwal Ran Singh , Gupta Sanjay 
Published: March 2021

PurposeFrom the last few decades, environmental issues have become a global concern. Consumption activities are given much attention in the marketing literature, whenever the question about protecting the environment arises. The responsibility of the consumer toward the environment is a major concern and the purpose of this study is to prioritize factors responsible for determining environmental responsibility among young consumers. This research will provide valuable insights to the marketers in targeting those particular areas which according to young consumers are highly ranked/prioritized for being environmentally responsible.Design/methodology/approachIn this study, data were collected from 400 young consumers from Punjab and Chandigarh. Fuzzy analytical hierarchy process (F-AHP) was applied to prioritize or rank the factors on the basis of significance for being environmentally responsible. The primary factors considered for further analysis were knowledge and awareness, attitude, green consumer value, emotional affinity toward nature, willingness to act and environment-related past behavior.FindingsResults of the study depicted knowledge and awareness as the highest-ranked and prioritized factor for young consumers to become environmentally responsible, while environment-related past behavior emerged as the least important factor for consumers' environmental responsibility.Research limitations/implicationsData were collected from the young consumers of Punjab and Chandigarh only and only a few factors of consumers' environmental responsibility were considered for further analysis which depicts the limitation of the study.Practical implicationsThe research study is highly useful for the government and the business firms to target the highly prioritized factors of environmental responsibility which will promote green consumption practices and behavior among young consumers.Originality/valuePrevious researches have explored the factors of environmental responsibility and modeled their relationships. However, the present study has employed the multi-criteria decision-making technique to provide valuable insights for marketers, academicians and practitioners about the drivers of consumers' environmental responsibility which adds value to the existing knowledge base.