bluuebunny/crossref_metadata_2025 huggingface dataset:
Inter-Individual Variability in Dorsal Stream Dynamics During Word Production
Authors: Liégeois-Chauvel C. , Dubarry A.-S. , Wang I. , Chauvel P. , Gonzalez-Martinez J.A. , Alario F.-X.
Published: April 2022

The current standard model of language production involves a sensorimotor dorsal stream connecting areas in the temporo-parietal junction with those in the inferior frontal gyrus and lateral premotor cortex. These regions have been linked to various aspects of word production such as phonological processing or articulatory programming, primarily through neuropsychological and functional imaging group studies. Most if not all the theoretical descriptions of this model imply that the same network should be identifiable across individual speakers. We tested this hypothesis by quantifying the variability of activation observed across individuals within each dorsal stream anatomical region. This estimate was based on electrical activity recorded directly from the cerebral cortex with millisecond accuracy in awake epileptic patients clinically implanted with intracerebral depth electrodes for pre-surgical diagnosis. Each region’s activity was quantified using two different metrics—intra-cerebral evoked related potentials and high gamma activity—at the level of the group, the individual, and the recording contact. Using picture naming task, the two metrics show simultaneous activation of parietal and frontal regions in line with models that posit interactive processing during word retrieval. They also reveal different levels of variability across brain regions and patients except in auditory and motor regions. The independence and non-uniformity of cortical activity according to the two metrics push the current model towards sub-second and sub-region explorations focused on individualized language speech production. Several hypotheses are considered for this within-region heterogeneity.
Olfactory Sensitivity Aligns with Caste Revealing Multipotential Minors and Specialized Soldier Majors in Camponotus floridanus Ants
Authors: Ferguson S.T. , Bakis I. , Edwards N.D. , Zwiebel L.J.
Published: April 2022

Camponotus floridanus ant colonies are comprised of a single reproductive queen and thousands of sterile female offspring that consist of two morphologically distinct castes: smaller minors and larger majors. Minors perform most of the tasks within the colony, including brood care and food collection, whereas majors have fewer clear roles and have been hypothesized to act as a specialized solider caste associated with colony defense. The allocation of workers to these different tasks depends on the detection and processing of local information including pheromones and other chemical blends such as cuticular hydrocarbons. We examined the electrophysiological responses to general odorants, cuticular extracts, and a trail pheromone in adult minor and major C. floridanus workers, revealing that the repertoire of social behaviors is positively correlated with olfactory sensitivity. Minors in particular display primarily excitatory responses to olfactory stimuli, whereas major workers respond primarily with inhibitory signals. The notable exception to this paradigm is that both minors and majors display robust, dose-dependent excitatory responses to conspecific, non-nestmate cuticular extracts. Moreover, while both minors and majors actively aggress non-nestmate foes, majors display significantly enhanced capabilities to rapidly subdue and kill opponents. Overall, our data suggest that C. floridanus majors do indeed represent a physiologically and behaviorally specialized soldier caste and support a model in which caste-specific olfactory sensitivity plays an important role in task allocation and the regulation of social behavior in ant colonies.

Significance Statement

The detection and odor coding of chemical cues are essential components of the collective behavior observed in eusocial ants. To better understand the interdependent relationship between olfactory sensitivity and the allocation of worker castes to the various tasks critical for the success of the colony, a series of behavioral assessments and an electrophysiological survey of the antennae comprising general odorants, cuticular extracts, and a trail pheromone were undertaken. These studies reveal the behavioral repertoire of minors and majors aligned with profound shifts in olfactory sensitivity and odor coding. Our data support the hypothesis that minors are multipotential workers with broad excitatory sensitivity, and majors are dedicated soldiers with a highly specialized olfactory system for the detection of non-nestmate foes.
Death-seq identifies regulators of cell death and senolytic therapies
Authors: Colville Alex , Liu Jie-Yu , Thomas Samantha , Ishak Heather D. , Zhou Ronghao , Klein Julian D.D. , Morgens David W. , Goshayeshi Armon , Salvi Jayesh S. , Yao David , Spees Kaitlyn , Bassik Michael C. , Rando Thomas A.
Published: April 2022

Selectively ablating senescent cells (“senolysis”) is an evolving therapeutic approach for age-related diseases. Current senolytics are limited to local administration by potency and side effects. While genetic screens could identify senolytics, current screens are underpowered for identifying genes that regulate cell death due to limitations in screen methodology. Here, we establish Death-seq, a positive selection CRISPR screen optimized to identify enhancers and mechanisms of cell death. Our screens identified synergistic enhancers of cell death induced by the known senolytic ABT-263, a BH3 mimetic. SMAC mimetics, enhancers in our screens, synergize with ABT-199, another BH3 mimetic that is not senolytic alone, clearing senescent cells in models of age-related disease while sparing human platelets, avoiding the thrombocytopenia associated with ABT-263. Death-seq enables the systematic screening of cell death pathways to uncover molecular mechanisms of regulated cell death subroutines and identify drug targets for diverse pathological states such as senescence, cancer, and neurodegeneration.
miRNA upregulate protein and glycan expression via direct activation in proliferating cells
Authors: Jame-Chenarboo Faezeh , Ng Hoi Hei , Macdonald Dawn , Mahal Lara K.
Published: April 2022

The dominant paradigm is that miRNA binding to mRNA represses protein expression. Activation by miRNA has been observed in select circumstances (quiescent cells, mitochondria), but is not thought a feature of miRNA action in actively dividing cells. Herein, we comprehensively map the miRNA regulation of α-2,6-sialyltransferases ST6GAL1 and ST6GAL2 using a high-throughput assay (miRFluR). We find the majority of miRNA targeting ST6GAL1, the main enzyme controlling α-2,6-sialylation, upregulate protein expression. In contrast, those that regulate ST6GAL2 are predominantly downregulatory. We provide evidence that miRNA-mediated upregulation occurs in proliferating cells and is a direct effect. Further, we show that AGO2 and FXR1 are required. Our data expands current understanding of miRNA, providing strong evidence of both upregulatory and downregulatory roles for these non-coding RNA.

One-Sentence Summary

miRNA directly activate expression of α-2,6-sialyltransferases and sialylation, expanding miRNA actions in dividing cells.
Integrative conformational ensembles of Sic1 using different initial pools and optimization methods
Authors: Gomes Gregory-Neal W. , Namini Ashley , Gradinaru Claudiu C.
Published: April 2022

Intrinsically disordered proteins play key roles in regulatory protein interactions, but their detailed structural characterization remains challenging. Here we calculate and compare conformational ensembles for the disordered protein Sic1 from yeast, starting from initial ensembles that were generated either by statistical sampling of the conformational landscape, or by molecular dynamics simulations. Two popular, yet contrasting optimization methods were used, ENSEMBLE and Bayesian Maximum Entropy, to achieve agreement with experimental data from nuclear magnetic resonance, small-angle X-ray scattering and single-molecule Förster resonance energy transfer. The comparative analysis of the optimized ensembles, including secondary structure propensity, inter-residue contact maps, and the distributions of hydrogen bond and pi interactions, revealed the importance of the physics-based generation of initial ensembles. The analysis also provides insights into designing new experiments that can maximally discriminate among the optimized ensembles. Overall, differences between ensembles optimized from different priors were greater than when using the same prior with different optimization methods. Generating increasingly accurate, reliable and experimentally validated ensembles for disordered proteins is an important step towards a mechanistic understanding of their biological function and involvement in various diseases.
Approximations to the expectations and variances of ratios of tree properties under the coalescent
Authors: Lappo Egor , Rosenberg Noah A
Published: April 2022

Properties of gene genealogies such as tree height (H), total branch length (L), total lengths of external (E) and internal (I) branches, mean length of basal branches (B), and the underlying coalescence times (T) can be used to study population-genetic processes and to develop statistical tests of population-genetic models. Uses of tree features in statistical tests often rely on predictions that depend on pairwise relationships among such features. For genealogies under the coalescent, we provide exact expressions for Taylor approximations to expected values and variances of ratiosXn/Yn, for all 15 pairs among the variables {Hn,Ln,En,In,Bn,Tk}, consideringnleaves and 2 ≤k≤n. For expected values of the ratios, the approximations match closely with empirical simulation-based values. The approximations to the variances are not as accurate, but they generally match simulations in their trends asnincreases. AlthoughEnhas expectation 2 andHnhas expectation 2 in the limit asn→ ∞, the approximation to the limiting expectation forEn/Hnis not 1, instead equalingπ2/3 – 2 ≈ 1.28987. The new approximations augment fundamental results in coalescent theory on the shapes of genealogical trees.
The fluorescence-activating and absorption-shifting tag (FAST) enables live-cell fluorescence imaging of Methanococcus maripaludis
Authors: Hernandez Eric , Costa Kyle C
Published: April 2022

Live-cell fluorescence imaging in methanogenic archaea has been limited due to the strictly anoxic conditions required for growth and issues with autofluorescence associated with electron carriers in central metabolism. Here, we show that the fluorescence-activating and absorption-shifting tag (FAST) when complexed with the fluorogenic ligand 4-hydroxy-3-methylbenzylidene-rhodanine (HMBR) overcomes these issues and displays robust fluorescence in Methanococcus maripaludis. We also describe a mechanism to visualize cells under anoxic conditions using a fluorescence microscope. Derivatives of FAST were successfully applied for protein abundance analysis, subcellular localization, and determination of protein-protein interactions. FAST fusions to both formate dehydrogenase (Fdh) and F420-reducing hydrogenase (Fru) displayed increased fluorescence in cells grown on formate containing medium, consistent with previous studies suggesting increased abundance of these proteins in the absence of H2. Additionally, FAST fusions to both Fru and the ATPase associated with the archaellum (FlaI) showed membrane localization in single cells observed using anoxic fluorescence microscopy. Finally, a split reporter translationally fused to the alpha and beta subunits of Fdh reconstituted a functionally fluorescent molecule in vivo via bimolecular fluorescence complementation. Together, these observations demonstrate the utility of FAST as a tool for studying members of the methanogenic archaea.

Importance

Methanogenic archaea are important members of anaerobic microbial communities where they catalyze essential reactions in the degradation of organic matter. Developing additional tools for studying the cell biology of these organisms is essential to understanding them at a mechanistic level. Here, we show that FAST, in combination with the fluorogenic ligand HMBR, can be used to monitor protein dynamics in live cells of M. maripaludis. Application of FAST holds promise for future studies focused on the metabolism and physiology of methanogenic archaea.
Novel Requirement for Staphylococcal Cell Wall-Anchored Protein SasD in Pulmonary Infection
Authors: Grousd Jennifer A , Riesmeyer Abigail M. , Cooper Vaughn S. , Bomberger Jennifer M. , Richardson Anthony R. , Alcorn John F.
Published: April 2022

Staphylococcus aureus can complicate preceding viral infections, including influenza virus. A bacterial infection combined with a preceeding viral infection, known as super-infection, leads to worse outcomes compared to single infection. Most of the super-infection literature focuses on the changes in immune responses to bacteria between homeostatic and virally infected lungs. However, it is unclear how much of an influence bacterial virulence factors have in super-infection. Staphylococcal species express a broad range of cell wall-anchored proteins (CWAs) that have roles in host adhesion, nutrient acquisition, and immune evasion. We screened the importance of these CWAs using mutants lacking individual CWAs in vivo in both bacterial pneumonia and influenza super-infection. In bacterial pneumonia, lacking individual CWAs led to varying decreases in bacterial burden, lung damage, and immune infiltration into the lung. However, the presence of a preceding influenza infection partially abrogated the requirement for CWAs. In the screen, we found that the uncharacterized CWA S. aureus surface protein D (SasD) induced changes in both inflammatory and homeostatic lung markers. We further characterized a SasD mutant (sasD A50.1) in the context of pneumonia. Mice infected with sasD A50.1 had decreased bacterial burden, inflammatory responses, and mortalty compared to wildtype S. aureus. Mice also had reduced levels of IL-1β compared with wildtype, likely derived from macrophages. Reductions in IL-1β transcript levels as well as increased macrophage viability implicate altered macrophage cell death pathways. These data identify a novel virulence factor for S. aureus that influences inflammatory signaling within the lung.

Importance

Staphylococcus aureus is a common commensal bacteria that can cause severe infections, such as pneumonia. In the lung, viral infections increase the risk of staphylococcal pneumonia, leading to combined infections known as super-infections. The most common virus associated with S. aureus pneumonia is influenza, and super-infections lead to worse patient outcomes compared to either infection alone. While there is much known about how the immune system differs between healthy and virally infected lungs, the role of bacterial virulence factors in super-infection is less understood. The significance of our research is identifying new bacterial virulence factors that play a role in the initiation of infection and lung injury, which could lead to future therapies to prevent pulmonary single or super-infection with S. aureus.
Dual pathway architecture underlying vocal learning in songbirds
Authors: Sankar Remya , Leblois Arthur , Rougier Nicolas P.
Published: April 2022

Song acquisition and production in songbirds is governed by a dedicated neural circuitry that involves two parallel pathways: a motor pathway for the production and a basal ganglia (BG) pathway for the acquisition. Juveniles learn by imitating adult vocalizations and proceed by trial and error, errors being conveyed by a dopaminergic signal. The complex nature of the relationship between neural control and syrinx musculature makes song learning a complicated problem to solve. Reinforcement learning (RL) has been widely hypothesized to underlie such sensorimotor learning even though this can lead to sub-optimal solutions under uneven contours in continuous action spaces. In this article, we propose to re-interpret the role of a dual pathway architecture, underlying avian vocal learning, that helps overcome these limitations. We posit that the BG pathway conducts exploration by inducing large daily shifts in the vocal production while the motor pathway gradually consolidates this exploration. This process can be understood as a modified form of a simulated annealing process. Simulations on Gaussian performance landscapes and a syrinx-based performance landscape are demonstrated and compared with standard approaches. Taking behavioral constraints into account (60 days of learning, 1000 trials per day), the model allows to reach the global optimum in complex landscapes and thus provides a sound insight into the role of the dual pathway architecture underlying vocal learning.
Neural network analysis of neutron and X-ray reflectivity data: automated analysis using mlreflect, experimental errors and feature engineering
Authors: Greco Alessandro , Starostin Vladimir , Edel Evelyn , Munteanu Valentin , Rußegger Nadine , Dax Ingrid , Shen Chen , Bertram Florian , Hinderhofer Alexander , Gerlach Alexander , Schreiber Frank
Published: April 2022

The Python package mlreflect is demonstrated, which implements an optimized pipeline for the automated analysis of reflectometry data using machine learning. The package combines several training and data treatment techniques discussed in previous publications. The predictions made by the neural network are accurate and robust enough to serve as good starting parameters for an optional subsequent least-mean-squares (LMS) fit of the data. For a large data set of 242 reflectivity curves of various thin films on silicon substrates, the pipeline reliably finds an LMS minimum very close to a fit produced by a human researcher with the application of physical knowledge and carefully chosen boundary conditions. The differences between simulated and experimental data and their implications for the training and performance of neural networks are discussed. The experimental test set is used to determine the optimal noise level during training. The extremely fast prediction times of the neural network are leveraged to compensate for systematic errors by sampling slight variations in the data.
Business process redesign towards IoT-enabled context-awareness: the case of a Chinese bulk port
Authors: Song Rongjia , Cui Weiping , Vanthienen Jan , Huang Lei , Wang Ying
Published: April 2022

Purpose

The purpose of this paper is to contribute to the extant literature about the co-evolvement of Business Process Management (BPM) and the Internet of Things (IoT) by proposing the IoT-enabled Context-aware BPM (IoT-CaBPM) framework to bridge from the IoT infrastructure to context-aware business processes.

Design/methodology/approach

Motivated by the “Three Waves” of BPM research, IoT-enabled context-awareness is, therefore, expected to be achieved for enhancing the business process design, which pilots a new wave of BPR (Business Process Redesign/Reengineering) to enable the business process coevolve with IoT and analytics. This paper reports an illustrative case study of BPR in a Chinese bulk port, one of the hub seaports that widely adopted IoT technologies over the last few years.

Findings

The IoT implementation and data analytics has increased the efficiency and improve the monitoring effectively. The proposed IoT-CaBPM framework availably helps to identify and match nodes of IoT devices, business decisions and analytic models in order to redesign a business process towards context-aware variability. As IoT is rapidly becoming the new dominant IT paradigm is moving towards mature implementation in various industries, the corresponding BPR must be planned and executed strategically for achieving better benefits.

Originality/value

Despite some research extend BPM standard by integrating IoT devices as a sort of resources or report generically that the ports operations are affected by IoT, there is still a lack of layers from the IoT infrastructure to context-aware business processes. An industrial BPR case with business models in detail is also a lack for presenting the specific implications and effectiveness of the adoption of such technologies. This paper fills in this gap.
Does e-commerce narrow the urban–rural income gap? Evidence from Chinese provinces
Authors: Yin Zi Hui , Choi Chang Hwan
Published: April 2022

Purpose

A wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.

Design/methodology/approach

In the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.

Findings

The results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.

Practical implications

The urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.

Originality/value

To determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.
Digital influencers, social power and consumer engagement in social commerce
Authors: Wang Panpan , Huang Qian
Published: April 2022

Purpose

Social commerce platforms are prevalent in the explosion of social media and e-commerce, and they enable conversations across a broad range of topics. However, their success depends on consumers' willingness to invest their time, attention and money. Digital influencers have shown prominent effects on consumers in those social commerce platforms. This study, thus, aims to attempt to unravel the role of digital influencers in affecting consumer engagement and purchase behaviour in online social commerce communities.

Design/methodology/approach

A mixed approach with a field interview, an online survey and secondary archive data are presented to confirm all the hypotheses.

Findings

Several forms of social power from digital influencers (including expert power, informational power, referent power and legitimate reciprocity power) could influence consumer engagement behaviours (including content participation and content creation). Moreover, the two types of consumer engagement behaviours could further influence consumer purchase likelihood in the social commerce community.

Research limitations/implications

Several forms of social power from digital influencers (including expert power, informational power, referent power and legitimate reciprocity power) could affect consumer engagement behaviours (including content participation and content creation). Moreover, the two types of consumer engagement behaviours could further affect consumer's purchase expenditure in the social commerce community.

Originality/value

This study draws on the theories of social power and social influence and integrates the literature on consumer engagement to explain how digital influencers affect consumer engagement and their purchase behaviour in an online social commerce community. Firstly, this work extends existing studies on the antecedents of consumer engagement in the social commerce communities by considering the role of digital influencers. Secondly, this research advances the theoretical understanding of the influence of digital influencers through a new lens of social power. The findings also contribute to community managers, users who pursue popularity and companies who target business goals.
Worlds apart: a socio-material exploration of mHealth in rural areas of developing countries
Authors: Eze Emmanuel , Gleasure Rob , Heavin Ciara
Published: April 2022

Purpose

The implementation of mobile health (mHealth) in developing countries seems to be stuck in a pattern of successive pilot studies that struggle for mainstream implementation. This study addresses the research question: what existing health-related structures, properties and practices are presented by rural areas of developing countries that might inhibit the implementation of mHealth initiatives?

Design/methodology/approach

This study was conducted using a socio-material approach, based on an exploratory case study in West Africa. Interviews and participant observation were used to gather data. A thematic analysis identified important social and material agencies, practices and imbrications which may limit the effectiveness of mHealth apps in the region.

Findings

Findings show that, while urban healthcare is highly structured, best practice-led, rural healthcare relies on peer-based knowledge sharing, and community support. This has implications for the enacted materiality of mobile technologies. While urban actors see mHealth as a tool for automation and the enforcement of responsible healthcare best practice, rural actors see mHealth as a tool for greater interconnectivity and independent, decentralised care.

Research limitations/implications

This study has two significant limitations. First, the study focussed on a region where technology-enabled guideline-driven treatment is the main mHealth concern. Second, consistent with the exploratory nature of this study, the qualitative methodology and the single-case design, the study makes no claim to statistical generalisability.

Originality/value

To the authors' knowledge, this is the first study to adopt a socio-material view that considers existing structures and practices that may influence the widespread adoption and assimilation of a new mHealth app. This helps identify contextual challenges that are limiting the potential of mHealth to improve outcomes in rural areas of developing countries.
Testing the market efficiency in Indian stock market: evidence from Bombay Stock Exchange broad market indices
Authors: Elangovan Rajesh , Irudayasamy Francis Gnanasekar , Parayitam Satyanarayana
Published: April 2022

Purpose

Despite volumes of research on the efficient market hypothesis (EMH) over the last six decades, the results are inconclusive as some studies supported the hypothesis, and some studies rejected it. The study aims to examine the market efficiency of the Indian stock market.

Design/methodology/approach

For analysis, nine Bombay Stock Exchange (BSE) broad market indices were selected covering the study period from 01 January 2011 to 31 December 2020. The data collected for this study are daily open, high, low and closing prices of selected indices. The tools used in this study are: (1) unit root test to check the stationarity of time series, (2) descriptive statistics, (3) autocorrelation and (4) runs test.

Findings

The empirical findings of the study reveal that BSE broad market indices do not follow a random walk and Indian stock market is as weak-form inefficient.

Research limitations/implications

The findings from this study provide several avenues for future research. One of the research implications is that anomalies in the statistical results by different academicians in the finance area need to be explained by future researchers.

Practical implications

Investment companies need to understand that extraordinary skills are required to beat the market to make abnormal returns. In an inefficient market where securities do not reflect the complete available information, it is challenging for the investment brokers to convince the customers about the portfolios they recommend to the public that the rate of return would be more than expected.

Social implications

As economic growth is related to the growth in the financial sector, developing countries like India depend on the accuracy of the information. In the presence of asymmetric information, the fluctuations in the stock market would have serious harmful consequences on the economy.

Originality/value

Amid several controversies surrounding the EMH testing, this study is a modest attempt to provide evidence that the Indian stock market is in weak-form inefficient. However, it is essential to link investors' behaviour and trends observed in the financial sector to fully understand the implications of EMH.
Exploring the planning practices of nurse managers in the unit: a study of nurse managers in the greater Accra region
Authors: Ansah Ofei Adelaide Maria , Parima Yennuten , Achempim-Ansong Gloria , Barnes Theresa
Published: April 2022

Purpose

Nurse managers’ planning practices are essential to the practice of management in the unit, and the overall efficiency of the healthcare service delivery. This study aims to explore the planning practices of nurse managers in the Greater Accra Region, Ghana.

Design/methodology/approach

A descriptive phenomenological design was employed to explore nurse managers' planning practices. In total, 15 nurse managers and 47 nurses from 19 primary and secondary hospitals of the Ghana Health Service and two specialized hospitals in the Greater Accra Region, Ghana, were involved in the study. Data were collected using semi-structured interview guides and probes.

Findings

The findings suggested that plans were widely common to all the units of the hospitals and were considered satisfactory by nurse managers. However, most of these plans were not effectively utilized. Nurse managers had only fair knowledge about the planning process and were moderately involved and communicated ideas to colleagues in the process. Furthermore, nurse managers do not frequently share the vision neither do they even communicate expectations to achieve unit goals and objectives with subordinates.

Originality/value

The research emphasizes the relevance of planning in healthcare management. It highlights the management practice of planning in the context of nurse managers and accentuates the values the healthcare system derives with effective planning practices.
MFCT-GAN: multi-information network to reconstruct CT volumes for security screening
Authors: Jiang Yixiang
Published: April 2022

Purpose

At airport security checkpoints, baggage screening is aimed to prevent transportation of prohibited and potentially dangerous items. Observing the projection images generated by X-rays scanner is a critical method. However, when multiple objects are stacked on top of each other, distinguishing objects only by a two-dimensional picture is difficult, which prompts the demand for more precise imaging technology to be investigated for use. Reconstructing from 2D X-ray images to 3D-computed tomography (CT) volumes is a reliable solution.

Design/methodology/approach

To more accurately distinguish the specific contour shape of items when stacked, multi-information fusion network (MFCT-GAN) based on generative adversarial network (GAN) and U-like network (U-NET) is proposed to reconstruct from two biplanar orthogonal X-ray projections into 3D CT volumes. The authors use three modules to enhance the reconstruction qualitative and quantitative effects, compared with the original network. The skip connection modification (SCM) and multi-channels residual dense block (MRDB) enable the network to extract more feature information and learn deeper with high efficiency; the introduction of subjective loss enables the network to focus on the structural similarity (SSIM) of images during training.

Findings

On account of the fusion of multiple information, MFCT-GAN can significantly improve the value of quantitative indexes and distinguish contour explicitly between different targets. In particular, SCM enables features more reasonable and accurate when expanded into three dimensions. The appliance of MRDB can alleviate problem of slow optimization during the late training period, as well as reduce the computational cost. The introduction of subjective loss guides network to retain more high-frequency information, which makes the rendered CT volumes clearer in details.

Originality/value

The authors' proposed MFCT-GAN is able to restore the 3D shapes of different objects greatly based on biplanar projections. This is helpful in security check places, where X-ray images of stacked objects need to be distinguished from the presence of prohibited objects. The authors adopt three new modules, SCM, MRDB and subjective loss, as well as analyze the role the modules play in 3D reconstruction. Results show a significant improvement on the reconstruction both in objective and subjective effects.
Modelling the demand for educational tourism: do dynamic effect, university quality and competitor countries play a role?
Authors: Hussein Siti Hajar , Kusairi Suhal , Ismail Fathilah
Published: April 2022

Purpose

This study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism has been identified as a new tourism sub-sector with high potential, and is thus expected to boost economic growth and sustainability.

Design/methodology/approach

This study reviews the literature on the determinants of educational tourism demand. Even though the existing literature is intensively discussed, mostly focusing on the educational tourism demand from an individual consumer's perspective, this study makes an innovation in line with the aggregate demand view. The study uses data that consist of the enrolment of international students from 47 home countries who studied in Malaysia from 2008 to 2017. The study utilised the dynamic panel method of analysis.

Findings

This study affirms that income per capita, educational tourism price, price of competitor countries and quality of universities based on accredited programmes and world university ranking are the determinants of educational tourism demand in both the short and the long term. Also, a dynamic effect exists in educational tourism demand.

Research limitations/implications

The results imply that government should take the quality of services for existing students, price decisions and QU into account to promote the country as a tertiary education hub and achieve sustainable development.

Originality/value

Research on the determinants of the demand for educational tourism is rare in terms of macro data, and this study includes the roles of QU, competitor countries and dynamic effects.
From pandemic to Prada: examining online luxury-brand self-narratives
Authors: Sharma Yukti , Silal Prakrit , Kumar Jitender , Singh Ramendra
Published: April 2022

Purpose

Amidst the exponential spread of the COVID-19 pandemic, this study aims to explore the evolving dynamics underlying consumers' narratives about luxury-brands over social media. While visualizing these Online Luxury-Brand Self-Narratives (OLBSNs) as a decision-making situation, the authors question the “rational-being” assumption of the Net Valence Model (NVM) during a pandemic situation. Specifically, the authors draw upon Terror Management Theory (TMT) to explicate the role of pandemic-induced mortality salience in rendering the idealistic assumptions of NVM unattainable. The authors uncover evidence of risk-taking behavior among luxury consumers while using OLBSNs as a potential meaning-providing structure during the pandemic.

Design/methodology/approach

This study employed a cross-sectional survey method. The authors conducted a structured Qualtrics survey to collect data from 588 respondents. The authors examined the hypothesized relationships using structural equation modeling.

Findings

In contrast to the conventional wisdom of NVM, the results suggest a positive influence of not only perceived benefits but also perceived risks on intention to engage in OLBSN and brand advocacy during the ongoing pandemic.

Research limitations/implications

This study explains the emerging dynamics of pandemic-induced mortality salience in OLBSN decision-making and has implications for luxury-brand marketers in designing brand communication strategies over social media.

Originality/value

This study makes an original endeavor to extend NVM beyond rational decision-making context by integrating the theoretical tenets of TMT within NVM while also delineating the decision-making mechanism of OLBSNs during the pandemic.
Application of green building concepts and technologies for sustainable building development in Sub-Saharan Africa: the case of Ghana
Authors: Anzagira Lee Felix , Duah Daniel , Badu Edward , Simpeh Eric Kwame , Amos-Abanyie Samuel , Marful Alexander
Published: April 2022

Purpose

Green building (GB) is globally acclaimed as the most formidable solution to the adverse effects that buildings and construction activities have on the climate and environment. Nonetheless, current evidence suggests that the adoption of GB in developing countries of Sub-Saharan Africa (SSA) is at a snail’s pace and characterized by the absence of GB codes and frameworks. This paper aims to determine the current level of adoption and implementation of GB concepts and technologies in the Ghanaian construction industry (GCI).

Design/methodology/approach

An exploratory method of investigation involving a quantitative approach was used to achieve the objectives of this study. A literature review was conducted, and a questionnaire survey was conducted among 292 stakeholders in the GCI. The survey data was analyzed using descriptive and inferential statistics as well as other quantitative analysis techniques.

Findings

The analysis revealed that the five most applied green building technologies (GBTs) are technologies for optimizing site planning, building orientation and configuration, use of natural ventilation, integrative use of natural lighting with electric lighting systems, application of energy-efficient lighting systems and use of permeable paving: low-traffic areas. Notably, the majority of the GBTs belong to the energy-efficiency technologies category.

Research limitations/implications

The findings indicate that GBTs are gaining momentum in Ghana and that there is a need for ongoing research to develop new and more environmentally friendly building technologies to aid in the preservation of our society and natural resources to achieve United Nations Sustainable Development Goals (UN SDGs) 12 and 13.

Originality/value

In effect, this study will enhance the awareness of GB development and contribute to the GB body of knowledge, particularly in the context of developing countries. It would also be useful to the GCI’s contribution to achieving the UN SDGs.
Stressors or facilitators? Exploring the factors that impact police officers' abilities to respond to disablist hate crime
Authors: Tyson Jemma
Published: April 2022

Purpose

The purpose of this paper is to explore stressors and facilitators experienced by police officers when engaging with individuals with learning disabilities, within the context of policing disablist hate crime.

Design/methodology/approach

This paper is based on qualitative data obtained from research undertaken within a medium-sized police force in the south of England, and which focuses on the lived realities of service providers and service users. Using a triangulatory research approach, this research included a total of 230 h of observations of day-to-day policing, 10 semi-structured interviews with police officers and 4 focus groups with individuals with learning disabilities.

Findings

Stressors, previously identified by sociologist Michael Lipsky – the unpredictability of situations, workload pressures and need for rapid decision making – are discussed within the research, alongside additional stressors regarding the previous experience (internal and external to policing) held by police officers. For some officers, these have the opposite impact and serve as facilitators of positive engagements with individuals with learning disabilities. The discussion is situated within the social model of disability, with an emphasis placed on the impact stressors have on police processes. Finally, the paper suggests practical options for enhancing confidence within the interactions between these two groups, through police training.

Originality/value

The current paper explores an under-researched area of policing and disablist hate crime and utilises a combined approach of the social model of disability and Lipsky's (1980) street-level bureaucrats.
A review on colorimetric indicators for monitoring product freshness in intelligent food packaging: Indicator dyes, preparation methods, and applications
Authors: Luo Xiaoyu , Zaitoon Amr , Lim Loong‐Tak
Published: April 2022

Intelligent food packaging system exhibits enhanced communication function by providing dynamic product information to various stakeholders (e.g., consumers, retailers, distributors) in the supply chain. One example of intelligent packaging involves the use of colorimetric indicators, which when subjected to external stimuli (e.g., moisture, gas/vapor, electromagnetic radiation, temperature), display discernable color changes that can be correlated with real‐time changes in product quality. This type of interactive packaging system allows continuous monitoring of product freshness during transportation, distribution, storage, and marketing phases. This review summarizes the colorimetric indicator technologies for intelligent packaging systems, emphasizing on the types of indicator dyes, preparation methods, applications in different food products, and future considerations. Both food and nonfood indicator materials integrated into various carriers (e.g., paper‐based substrates, polymer films, electrospun fibers, and nanoparticles) with material properties optimized for specific applications are discussed, targeting perishable products, such as fresh meat and fishery products. Colorimetric indicators can supplement the traditional “Best Before” date label by providing real‐time product quality information to the consumers and retailers, thereby not only ensuring product safety, but also promising in reducing food waste. Successful scale‐up of these intelligent packaging technologies to the industrial level must consider issues related to regulatory approval, consumer acceptance, cost‐effectiveness, and product compatibility.
Adzuki bean (Vigna angularis): Chemical compositions, physicochemical properties, health benefits, and food applications
Authors: Li Hang , Zou Liang , Li Xin‐Yan , Wu Ding‐Tao , Liu Hong‐Yan , Li Hua‐Bin , Gan Ren‐You
Published: April 2022

Adzuki bean (Vigna angularis), also called red bean, is a legume of Fabaceae (Leguminosae) family. This crop is native to East Asia and is also commercially available in other parts of the world. It is becoming a research focus owing to its distinct nutritional properties (e.g., abundant in polyphenols). The diverse health benefits and multiple utilization of this pulse are associated with its unique composition. However, there is a paucity of reviews focusing on the nutritional properties and potent applications of adzuki beans. This review summarizes the chemical compositions, physicochemical properties, health benefits, processing, and applications of adzuki beans. Suggestions on how to better utilize the adzuki bean are also provided to facilitate its development as a functional grain. Adzuki bean and its components can be further developed into value‐added and nutritionally enhanced products.
Extra virgin olive oil: A comprehensive review of efforts to ensure its authenticity, traceability, and safety
Authors: Lozano‐Castellón Julián , López‐Yerena Anallely , Domínguez‐López Inés , Siscart‐Serra Aina , Fraga Nathalia , Sámano Samantha , López‐Sabater Carmen , Lamuela‐Raventós Rosa M , Vallverdú‐Queralt Anna , Pérez Maria
Published: April 2022

The growing demand for extra virgin olive oil (EVOO), appreciated for its unique organoleptic properties and health benefits, has led to various fraudulent practices to maximize profits, including dilution with lower value edible oils. The adulterated oils would be of poor nutritional quality, more readily oxidized, and may contain unhealthy substances formed during processing. Nevertheless, the range of available techniques to detect fraud in EVOO production has been growing. Reliable markers of EVOO adulteration include fatty acids and minor components such as sterols, tocopherols, triterpene alcohols, phenolic compounds, phospholipids, volatile compounds, and pigments. Additionally, increasing consumer interest in high‐quality EVOO has led to the development of robust scientific methods for its traceability.

This review focuses on (i) the usefulness of certain compounds as markers of EVOO adulteration; (ii) the potential health risks of consuming adulterated EVOO; and (iii) reliable methods for the geographical traceability of olive oil. In conclusion, fraudulent production practices need to be detected to preserve the beneficial health effects of EVOO and to avoid the potential risks associated with ingesting substandard oil. In this work, as EVOO certification and regulatory framework limitations have already been extensively reviewed, we focus our attention on biomarkers that guarantee both the authenticity and traceability of oil, and consequently its health properties. When it is unavailable to obtain a high‐resolution mass spectrometry full fingerprint, stigmastadienes and the sterolic profile are proposed as reliable markers.
Petrogenesis of the Early Jurassic Longtang and Menglong Peraluminous Granites in Tengchong Terrane, and their Tectonic Implication
Authors: WANG Guochang , LIU Zheng , TAN Shucheng , HE Xiaohu , WANG Yuchao , QI Changshi , YE Hui
Published: April 2022

A comprehensive study of zircon U‐Pb geochronology, in situ Hf isotopes, whole‐rock major and trace element geochemistry, and Nd isotopes was carried out for two Early Jurassic two‐mica granites (Longtang and Menglong) in the southern part of the Tengchong terrane, which is in the northern part of the larger Sibumasu terrane. We assess the origin of the granites and explore their possible genetic relationship to the Paleo‐Tethyan regime. LA‐ICP‐MS zircon U‐Pb dating shows that they were simultaneously emplaced in the Early Jurassic (ca. 199 Ma). They have SiO2 contents of 69.7–75.1 wt% and are mainly strongly peraluminous with alumina saturation index (ASI) values ranging from 1.06 to 1.46. They show similar Mg# (0.29–0.42) to experimental partial melts of metasedimentary rocks under continental pressure‐temperature (P‐T) conditions. They are enriched in light rare earth elements (LREEs) relative to heavy rare earth elements (HREEs), with moderately negative Eu anomalies and flat HREEs patterns. They show negative εNd(t) values (–9.0 to –12.4) and εHf(t) values (–8.0 to –9.1). Elemental and isotopic data suggest that they most likely to formed by muscovite‐dehydration melting of a metapelitic source at lower temperatures in the range of 700°C to 750°C. The granites might represent a post‐collisional tectonic setting response to Paleo‐Tethyan regime.