bluuebunny/crossref_metadata_2025_split huggingface dataset:
Insights into Early Word Comprehension: Tracking the Neural Representations of Word Semantics in Infants
Authors: Saha Rohan , Campbell Jennifer , Werker Janet F. , Fyshe Alona 
Published: October 2021

AbstractInfants develop foundational language skills and can understand simple words well before their first birthday. This developmental milestone has been studied primarily using looking time paradigms and Event-Related Potential (ERP) techniques, which provide evidence of word comprehension in the infant brain. While prior research validates the presence of semantic representations of words (word meaning) in infants, it does not tell us about the mental processes involved in retrieving these semantic representations or the content of the representations. To this end, we use a machine learning approach to predict the semantic representations of words using Electroencephalograms of infant brain activity. We explore semantic representations in two groups of infants (9-month-old and 12-month-old) and find significantly above chance decodability of overall word semantics, word animacy, and word phonetics. We compare decodability between the age groups and find significant differences later in the analysis window (around 700-900 ms after word onset), with higher decoding performance in 9-month-olds. Through our analysis, we also observe strong neural representations of word phonetics in the brain data for both age groups, some possibly correlated to word decoding accuracy and others not. Finally, we use the Temporal Generalization Method to show that neural representation of word semantics generalizes across the two infant age groups. Our results on word semantics, phonetics, and animacy provide insights into the evolution of neural representation of single word meaning in infants.
Cephalopod Retinal Development Shows Vertebrate-like Mechanisms of Neurogenesis
Authors: Napoli Francesca , Daly Christina M. , Neal Stephanie , McCulloch Kyle J. , Zaloga Alexandra , Liu Alicia , Koenig Kristen M. 
Published: October 2021

AbstractNeurogenesis, the regulation of cellular proliferation and differentiation in the developing nervous system, is the process that underlies the diversity of size and cell type found in animal nervous systems. Our understanding of how this process has evolved is limited because of the lack of high resolution data and live-imaging methods across species. The retina is a classic model for the study of neurogenesis in vertebrates and live-imaging of the retina has shown that during development, progenitor cells are organized in a pseudostratified neuroepithelium and nuclei migrate in coordination with the cell cycle along the apicobasal axis of the cell, a process called interkinetic nuclear migration. Eventually cells delaminate and differentiate within the boundaries of the epithelium. This process has been considered unique to vertebrates and thought to be important in maintaining organization during the development of a complex nervous system. Coleoid cephalopods, including squid, cuttlefish and octopus, have the largest nervous system of any invertebrate and convergently-evolved camera-type eyes, making them a compelling comparative system to vertebrates. Here we have pioneered live-imaging techniques to show that the squid, Doryteuthis pealeii, displays cellular mechanisms during cephalopod retinal neurogenesis that are hallmarks of vertebrate processes. We find that retinal progenitor cells in the squid undergo interkinetic nuclear migration until they exit the cell cycle, we identify retinal organization corresponding to progenitor, post-mitotic and differentiated cells, and we find that Notch signaling regulates this process. With cephalopods and vertebrates having diverged 550 million years ago, these results suggest that mechanisms thought to be unique to vertebrates may be common to highly proliferative neurogenic primordia contributing to a large nervous system.
Evaluation of protein digestibility and iodine bioavailability in raw and cooked Sargassum fusiforme (harvey) setchell using in vitro methods
Authors: Sun Nan , Tan Beibei , Sun Bolun , Zhang Jinjie , Li Chao , Yang Wenge 
Published: October 2021

PurposeSargassum fusiforme is a popular edible seaweed in coastal cities of China that contains diverse nutrients including iodine. Cooking is an effective way to improve food safety, but it can alter both the contents of elements along with speciation and bioavailability. Three common cooking methods, the soaking, steaming and boiling, were evaluated for their effects on the protein structures, protein digestibility, iodine content and iodine bioavailability of S. fusiforme.Design/methodology/approachFourier transform infrared spectroscopy was used to study the structural changes of protein, and an in vitro digestion/Caco-2 cell culture system was used to evaluate the digestibility of protein, bioaccessibility and bioavailability of iodine.FindingsBoiling and steaming altered the protein secondary structure demonstrated by increased a-helix and random coil and decreased β-sheet, which improved the in vitro protein digestibility. Iodine content was reduced by cooking, with the highest loss observed after boiling, followed by soaking and steaming, while it was found that both bioaccessibility and cellular uptake of iodine were significantly elevated by boiling and steaming using an in vitro digestion/Caco-2 cell culture system. The presence of ascorbic acid, citric acid or tyrosine was beneficial for the iodine absorption, while oxalic acid and phytic acid hindered the iodine bioavailability.Originality/valueThe present finding suggested that cooking was conducive to the digestion and absorption of iodine in S. fusiforme. In addition, different dietary factors could have a certain impact on the absorption of iodine. Results of the study are essential for improving the application value of S. fusiforme to ensure reasonable consumption of seaweeds.
Benchmarking the assessment of barriers to the admission of management education in India during the COVID-19 pandemic
Authors: Tarei Pradeep Kumar , Kumar Santosh 
Published: October 2021

PurposeThis paper proposes a decision-making framework for assessing various dimensions and barriers that have affected the admission process in management educational institutions during the ongoing pandemic. The framework considers the interrelationship between the obstacles and highlights the importance of each barrier.Design/methodology/approachAn integrated method based on decision-making trial and evaluation laboratory and analytical network process is proposed to structure the barrier assessment framework. Results obtained from the study are validated by comparing them against the conventional analytical hierarchy process.FindingsThe results obtained from this study indicate four significant dimensions that hinder admission in Indian management institutes, namely, governmental, financial, sectoral, institutional and market. The top five barriers are demand shift towards technical (alternative) skills, acceptance of the graduated students, lack of industry–institute collaboration, lack of long-term vision and opening new Indian Institute of Technologies (IITs) and Indian Institute of Managements (IIMs).Research limitations/implicationsDuring this ongoing pandemic, many educational institutes have been forced to shift from the traditional classroom to a virtual teaching model. In this regard, this study helps identify and assess the barriers to admission in Indian management institutes during this epidemic and thus, contribute to the literature. The findings will assist all stakeholders and policymakers of management institutions design and develop appropriate managerial strategies. The study is conducted in the Indian management educational institute context and can be extended to technical education institutions for deeper insights.Originality/valueThe paper develops an assessment framework for analysing the barriers to admission in Indian management institutes during the ongoing COVID-19 pandemic. Research implications are discussed in the context of a developing country.
A labelling system and automation comparison index for industry 4.0 system
Authors: Kumar Shailendra , Asjad Mohammad , Suhaib Mohd. 
Published: October 2021

Purpose
This paper aims to put forward a labelling system capable of reflecting the level of different Industry 4.0 (I4.0)features present in a manufacturing system and further propose a comparative index to collectively estimate and compare the system automation level.

Design/methodology/approach
Data for the empirical study were collected from interactions with the practising managers and experts. A relationship among the six I4.0 features is developed with fuzzy cognitive maps.

Findings
The paper proposed a simple and easy-to-understand labelling system for I4.0 systems, which indicates the automation level in each of six dimensions of any manufacturing system. The system is further strengthened by a proposed automation comparative index (ACI), which collectively reflects the automation level on a scale of “0” to “1”. Thus, the labelling system and parameter could help in comparing the level of automation in the manufacturing system and further decision-making.

Research limitations/implications
Only seven industrial sectors are illustrated in the paper, but the proposed concept of the classification scheme and ACI find their applicability on a large spectrum of industries; thus, the concept can be extended to other industrial sectors. Furthermore, a threshold value of ACI is a differentiator between a I4.0 and other automated systems. Both aspects have the scope of further work.

Practical implications
The way and pace by which the industrial world takes forward the concept of I4.0, soon it will need a labelling system and a parameter to assess the automation level of any automated system. The scheme assesses the automation level present in a manufacturing system. It will also estimate the level of the presence of each of all six attributes of an I4.0 system. Both labelling system and ACI will be the practical tools in the hands of the practising managers to help compare, identify the thrust areas and make decisions accordingly.

Originality/value
To the best of the authors’ knowledge, this is the first study of its kind that proposed the labelling system and automation comparison index for I4.0 systems.
Designing antifragile social-technical information systems in an era of big data
Authors: Abbas Roba , Munoz Albert 
Published: October 2021

PurposeTo explore the value and the case for designing antifragile socio-technical information systems (IS) in an era of big data, moving beyond traditional notions of IS design towards systems that can leverage uncertainty for gains.Design/methodology/approachA design science research (DSR) approach was adopted, comprising four stages, including problem identification and solutions definition, conceptual artifact or socio-technical system design, preliminary evaluation, and communication and knowledge capture.FindingsA conceptual socio-technical artifact that identifies antecedents to antifragile IS design. When operationalised, the antecedents may produce the desired antifragile outcome. The antecedents are categorised as value propositions, design decisions and system capabilities.Research limitations/implicationsThis research is conceptual in nature, applied and evaluated in a single big data analytics case study in Facebook-Cambridge Analytica. Future research should empirically validate across a range of real-world big data contexts, beyond the presented case study.Practical implicationsUncertainty generally results in socio-technical system failures, impacting individuals, organisations and communities. Conversely, antifragile IS can respond favourably to the shocks and stressors brought forth by periods of elevated uncertainty.Social implicationsAntifragile IS can drive socio-technical systems to respond favourably to uncertainty and stressors. Typically, these socio-technical systems are large, complex structures, with increased connectivity and the requirement to generate, process, analyse and use large datasets. When these systems fail, it affects individuals, organisations and communities.Originality/valueExisting IS design methodologies and frameworks largely ignore antifragility as a possible designable outcome. Extant research is limited to abstract architectural design, and approaches based on the proposition of principles. This research contributes to knowledge of antifragile IS design, by deriving a conceptual artifact or socio-technical system based on antecedent-outcome relationships that leverage uncertainty towards performance gains.
Labour 4.0: developing competences for smart production
Authors: Heidemann Lassen Astrid , Waehrens Brian Vejrum 
Published: October 2021

Purpose
The purpose of this paper is to determine how companies develop and acquire competences to capture the benefits of Industry 4.0 (I4.0) technologies. The authors argue that this is a fundamental and often overlooked prerequisite for industrial transformation.

Design/methodology/approach
The authors conduct a process study of 33 small- and medium-sized companies engaged in the transformation of a manufacturing industry from the different perspectives of manufacturers or manufacturing solution providers.

Findings
Key findings indicate a strong link between the specific competence development approach, the specific intricacies of the application domain and the process outcomes. On this basis, a competence development framework is proposed.

Research limitations/implications
The conclusions are drawn from a Danish population of companies in the manufacturing industry and are based on particular contingencies, such as low volume/high mix, high skill, low tech and high cost. However, the findings are believed to be applicable across different sets of contingencies where the need to combine legacy and emerging technologies is present, and where the human factor is central to leveraging technology beyond predefined supplier specifications.

Practical implications
In a time of extraordinary investments in the manufacturing of technologies in support of digital transformation, the development of strategic and operational competences to support these investments is lagging behind. This paper develops a conceptual outset for closing this gap.

Originality/value
The research is based on the fundamental argument that to efficiently apply new technology, a strategic approach to the acquisition of new knowledge and skills is required. The empirical research demonstrates that new skills and knowledge are often assumed to follow automatically from the use of new technologies. However, we demonstrate that this perspective in fact limits the ability to capture the potential benefits ascribed to I4.0 technologies. The authors propose that the competence strategy needs to be expansive and cover not only the technological competences but also the organizational- and individual-level competences. These results add to our understanding of how the digital transformation of manufacturing companies unfolds.
The whistleblower stages model in British National Health Service Inquiries
Authors: Powell Martin 
Published: October 2021

PurposeThis article applies the whistleblowing stages model to whistleblowing journeys as seen in British National Health Service (NHS) Inquiries.Design/methodology/approachIt provides a qualitative analysis of Inquiry Reports since 2001, using Interpretive Content Analysis to allocate material to stages.FindingsIt is found that the Inquiry Reports show a wide variety of reporting mechanisms, but that most persons initially report internally. It seems to confirm recent suggestions that WB is often not a “one off” or simple and linear process, but a protracted process. While the simple stages model may be appropriate for individual “whistle-blowing incident” by a single whistleblower, it needs to be revised for the protracted process of raising concerns in a variety of ways by different people as shown in the Inquiry Reports.Research limitations/implicationsThe evidence is confined to the publicly available material that was presented in the Inquiry Reports.Practical implicationsIt provides a template to apply to cases of whistleblowing, and provides some baseline material.Originality/valueThis paper is one of the first to explore the whistleblowing stages model using qualitative material to one setting over time.
Mental health support needs within Gypsy, Roma, and Traveller communities: a qualitative study
Authors: Thompson Rebecca May , Stone Bridie Victoria , Tyson Philip John 
Published: October 2021

Purpose
Gypsy, Roma and Traveller (GRT) people within the UK and the Republic of Ireland are underrepresented within research and policies despite high rates of mental illness and suicide. This study aims to explore the mental health (MH) support needs for GRT people within the British Isles.

Design/methodology/approach
This study was a thematic analysis of semi-structured interviews with nine self-identified GRT people.

Findings
The analysis revealed a longing for acceptance, both within and outside the GRT community; barriers to help seeking, specifically unsuitable services, poor awareness, stigma and distrust; and increased vulnerability owing to participants’ perceived lack of prospects and adverse life events.

Originality/value
Despite increased vulnerability, MH services are underutilised by GRT people for a variety of cultural and practical reasons. To reduce the current inequality, it is imperative that services take steps to increase accessibility. This study expands upon previous research by using the voices of GRT people themselves, creating a narrative built from their own emic perspectives. Unlike previous research, this study focuses exclusively on the MH of participants and includes participants from across the British Isles.
Untangling innovation: an examination of compensation, corporate social responsibility, and corporate financial performance
Authors: Miles Patti Collett , Angelis John N. 
Published: October 2021

Purpose
This study aims to examine how highly innovative firms behave differently from their peers to become profitable. The authors investigate this through two distinct groups, one group of firms that have appeared on the Forbes 100 most innovative firms for 5 out of the past 10 years and a carefully curated control group.

Design/methodology/approach
Using a matched sample of 190 distinct firms, all with 10 years of historical data, the authors conduct a series of regressions and two mediated models. This method enables the examination of several possible differentiators for highly innovative firms, namely, CEO Pay, CEO Pay Ratio, Median Employee Pay and Corporate Social Responsibility (CSR).

Findings
In all, the authors conducted five separate hypothesis tests, all with statistical significance. Of note, the authors find innovative companies do pay employees more, engage in more CSR acts and are more profitable than peer companies. In a mediated regression model, the authors also find that the median employee pay fully mediates the relationship between firm innovation and corporate financial performance.

Research limitations/implications
The study first shows that these highly innovative firms do not reach a position to rely merely on their innovation reputation to be profitable or attract eager employees. The authors find no relationship between years on the Forbes 100 list and profitability, median pay or total CSR in the data.

Practical implications
This research uses commonly available data to explore how innovative firms behave. Rather than being single-mindedly focused on innovation, results indicate that innovative elite firms are more generous (in employee pay) and concerned about non-profit factors (CSR) than their peers. Innovative firms are then able to do all this and remain profitable. An additional implication of this research is that managers should prioritize CSR. CSR is not just a tool for less innovative companies to distinguish themselves or firms with low reputations to rehabilitate themselves.

Social implications
As a society, we are living through unprecedented times concerning how we treat one another in the world. Often, the argument is made that firms should specialize, optimize and be strategically focused. However, highly innovative firms (often regarded as focused, specialized and optimized) in the sample show that paying people more and carrying out CSR is highly compatible with their success.

Originality/value
To the best of the researchers’ collective knowledge, this study is the only one of its kind to create and use such a robust data set, obtaining data from four different sources, namely, 10 years of Forbes top 100 innovative companies, SEC filing of the DEF 14 A for each company for two years, the Kinder, Lyndenberg and Domini database for 10 years and Compustat data for 10 years.
Seagrass biomass and sediment carbon in conserved and disturbed seascape
Authors: Reyes Angeli Gabrielle B. , Vergara Ma. Camille S. , Blanco Ariel C. , Salmo Severino G. 
Published: October 2021

AbstractDespite the Philippines having one of the widest extents and most diverse seagrasses, there are limited reports on the contribution of seagrass vegetation health to organic carbon (OC). Comparative assessments of OC between conserved and disturbed seagrass meadows in a seascape are also lacking. Conservation programs (e.g., marine protected area [MPA]) contribute to the maintenance of ecosystem health and OC storage in seagrass. However, disturbances may negate the effects of MPAs. Disturbances are often due to coastal development pressures linked to the need for industry, food production, and human settlement. Here, we assessed and compared the aboveground biomass (AGB), belowground biomass (BGB), and OC between conserved and disturbed seagrass meadows, then, tested its correlation with vegetation and water quality variables. The study was conducted in Oyon Bay (northwest Philippines), one of the key seascape MPAs in the Philippines. The bay experienced disturbances from a coal power plant, aquaculture, and human settlements for approximately 30 years. Results showed 7× higher AGB, 11× higher BGB, and 1.7× higher OC in conserved sites. The low biomass and OC values in the disturbed sites were correlated to poor vegetation and water quality conditions (particularly high turbidity [ρ = 0.38], high phosphates [ρ = −0.19], and low dissolved oxygen [ρ = −0.31]). Our study showed the effectiveness of MPAs in maintaining ecosystem health and OC in seagrass, but the magnitude of disturbances lessened the benefits from MPAs. Our results have implications on the over‐ or under‐estimation of carbon sequestration not just in Philippine seagrasses but also in most Southeast Asian countries facing similar coastal development pressures.