bluuebunny/crossref_metadata_2025_split huggingface dataset:
In situ single-cell activities of microbial populations revealed by spatial transcriptomics
Authors: Dar Daniel , Dar Nina , Cai Long , Newman Dianne K. 
Published: February 2021

AbstractMicrobial populations and communities are heterogeneous, yet capturing their diverse activities has proven challenging at the relevant spatiotemporal scales. Here we present par-seqFISH, a targeted transcriptome-imaging approach that records both gene-expression and spatial context within microscale assemblies at a single-cell and molecule resolution. We apply this approach to the opportunistic bacterial pathogen,Pseudomonas aeruginosa, analyzing ∼600,000 individuals across dozens of physiological conditions in planktonic and biofilm cultures. We explore the phenotypic landscape of this bacterium and identify metabolic and virulence related cell-states that emerge dynamically during growth. We chart the spatial context of biofilm-related processes including motility and kin-exclusion mechanisms and identify extensive and highly spatially-resolved metabolic heterogeneity. We find that distinct physiological states can co-exist within the same biofilm, just a few microns away, underscoring the importance of the microenvironment. Together, our results illustrate the complexity of microbial populations and present a new way of studying them at high-resolution.
Spatiospectral brain networks reflective of improvisational experience
Authors: Faller Josef , Goldman Andrew , Lin Yida , McIntosh James R. , Sajda Paul 
Published: February 2021

AbstractMusical improvisers are trained to categorize certain musical structures into functional classes, which is thought to facilitate improvisation. Using a novel auditory oddball paradigm (Goldman et al., 2020) which enables us to disassociate a deviant (i.e. musical cord inversion) from a consistent functional class, we recorded scalp EEG from a group of musicians who spanned a range of improvisational and classically trained experience. Using a spatiospectral based inter and intra network connectivity analysis, we found that improvisers showed a variety of differences in connectivity within and between large-scale cortical networks compared to classically trained musicians, as a function of deviant type. Inter-network connectivity in the alpha band, for a time window leading up to the behavioural response, was strongly linked to improvisation experience, with the default mode network acting as a hub. Spatiospectral networks post response were substantially different between improvisers and classically trained musicians, with greater inter-network connectivity (specific to the alpha and beta bands) seen in improvisers whereas those with more classical training had largely reduced inter-network activity (mostly in the gamma band). More generally, we interpret our findings in the context of network-level correlates of expectation violation as a function of subject expertise, and we discuss how these may generalize to other and more ecologically valid scenarios.
Predictive visual control network for occlusion solution in human-following robot
Authors: Zou Juncheng 
Published: February 2021

Purpose
The purpose of this paper is to propose a new video prediction-based methodology to solve the manufactural occlusion problem, which causes the loss of input images and uncertain controller parameters for the robot visual servo control.

Design/methodology/approach
This paper has put forward a method that can simultaneously generate images and controller parameter increments. Then, this paper also introduced target segmentation and designed a new comprehensive loss. Finally, this paper combines offline training to generate images and online training to generate controller parameter increments.

Findings
The data set experiments to prove that this method is better than the other four methods, and it can better restore the occluded situation of the human body in six manufactural scenarios. The simulation experiment proves that it can simultaneously generate image and controller parameter variations to improve the position accuracy of tracking under occlusions in manufacture.

Originality/value
The proposed method can effectively solve the occlusion problem in visual servo control.
The impact of accounting disturbances on organizational micro-practices in the schools' sector in England
Authors: Green Stuart , Ferry Laurence 
Published: February 2021

PurposeThis paper considers the nature and effect of accounting disturbances on organizational micro-practices in three secondary schools in England. A close application of a developed model of Habermasian colonization provides a framing for both the ways in which accounting is implicated in organizational change and the effect of accounting disturbances on organizational micro-practices.Design/methodology/approachQualitative field studies at three secondary schools were used to gather empirical detail in the form of interview data and documentary evidence. A total of 24 semi-structured interviews were conducted with teachers and bursars.FindingsAccounting disturbances that were constitutive-transactional in nature had the greatest influence on organizational micro-practices. Behavioural responses to accounting disturbances can be organizationally ambiguous, subtle and subject to change over time.Research limitations/implicationsMore field studies are needed, and there is scope to develop a longitudinal perspective to better understand the impact of accounting disturbances over time.Originality/valueBy framing the processes of accounting change using a developed model of Habermasian colonization, contributions are provided by illuminating aspects of both the processes of accounting colonization and the impact of accounting on organizational micro-practices. The findings also add to prior appreciations of reciprocal colonization, creative transformation of accounting disturbances and how accounting can be enabling.
Building a training dataset for classification under a cost limitation
Authors: Chen Yen-Liang , Cheng Li-Chen , Zhang Yi-Jun 
Published: February 2021

Purpose
A necessary preprocessing of document classification is to label some documents so that a classifier can be built based on which the remaining documents can be classified. Because each document differs in length and complexity, the cost of labeling each document is different. The purpose of this paper is to consider how to select a subset of documents for labeling with a limited budget so that the total cost of the spending does not exceed the budget limit, while at the same time building a classifier with the best classification results.

Design/methodology/approach
In this paper, a framework is proposed to select the instances for labeling that integrate two clustering algorithms and two centroid selection methods. From the selected and labeled instances, five different classifiers were constructed with good classification accuracy to prove the superiority of the selected instances.

Findings
Experimental results show that this method can establish a training data set containing the most suitable data under the premise of considering the cost constraints. The data set considers both “data representativeness” and “data selection cost,” so that the training data labeled by experts can effectively establish a classifier with high accuracy.

Originality/value
No previous research has considered how to establish a training set with a cost limit when each document has a distinct labeling cost. This paper is the first attempt to resolve this issue.
Case-based classification model based on information diffusion and interval gray relational analysis
Authors: Yang Baohua , Jiang Junming , Zhao Jinshuai 
Published: February 2021

PurposeThe purpose of this study is to construct a gray relational model based on information diffusion to avoid rank reversal when the available decision information is insufficient, or the decision objects vary.Design/methodology/approachConsidering that the sample dependence of the ideal sequence selection in gray relational decision-making is based on case sampling, which causes the phenomenon of rank reversal, this study designs an ideal point diffusion method based on the development trend and distribution skewness of the sample information. In this method, a gray relational model for sample classification is constructed using a virtual-ideal sequence. Subsequently, an optimization model is established to obtain the criteria weights and classification radius values that minimize the deviation between the comprehensive relational degree of the classification object and the critical value.FindingsThe rank-reversal problem in gray relational models could drive decision-makers away from using this method. The results of this study demonstrate that the proposed gray relational model based on information diffusion and virtual-ideal sequencing can effectively avoid rank reversal. The method is applied to classify 31 brownfield redevelopment projects based on available interval gray information. The case analysis verifies the rationality and feasibility of the model.Originality/valueThis study proposes a robust method for ideal point choice when the decision information is limited or dynamic. This method can reduce the influence of ideal sequence changes in gray relational models on decision-making results considerably better than other approaches.
Does investment in innovation impact firm performance in emerging economies? An empirical investigation of the Indian food and agricultural manufacturing industry
Authors: R.L. Manogna , Mishra Aswini Kumar 
Published: February 2021

Purpose
The study aims to analyze the impact of Research & Development (R&D) intensity on the firm’s performance, measured by growth of sales in the emerging market like India. Innovation strategy and its outcomes for firms may be different in developing countries as compared to developed countries. Thus, a study that focuses on the emerging economy like India, with a majority of the population dependent on agriculture, is of prime importance to the firm performance in the food and agricultural manufacturing industry. For this study, the broader focus will be on one widely recognised factor which may influence the growth rate of firms, i.e. investment in innovations which is in terms of R&D expenditure.

Design/methodology/approach
The paper investigates the relationship between the R&D efforts and growth of firms in the Indian food and agricultural manufacturing industry during 2001–2019. To empirically test the relationship between firm’s growth (FG) and R&D investments, system generalised method of moments technique has been used, hence enabling to avoid problems related to endogeneity and simultaneity.

Findings
The findings reveal that investments in innovations have a positive effect on the growth of firms in the Indian food and agricultural manufacturing industry. Investment in R&D also enables the firms to reap benefits from externalities present in the industry. Further analysis reveals that younger firms grow faster when they invest in R&D. More specifically, this paper finds evidence in the case of the food and agricultural industry that import of raw materials negatively affects the FG and export intensity positively affects the growth in the case of R&D firms.

Research limitations/implications
This study suggests that the government should encourage the industries to invest optimally in R&D projects by providing favourable fiscal treatments and R&D subsidies which are observed to have positive effects in various developed countries.

Originality/value
To the best of the author’s knowledge, the current paper is the first to analyse the impact of innovation in food and agricultural industry on firm’s performance in an emerging economy context with the latest data. This paper agrees that a government initiative to increase private R&D expenditure would have favourable effects on FG as growing investments in R&D lead to further growth of the firms.
Seeking asylum in Bristol: insights into psychological needs and resilience
Authors: Flothmann Charlotte , Josselin Daphne 
Published: February 2021

Purpose
The purpose of this paper is to share research findings on the lived experiences of asylum seekers in Bristol (UK), with a particular focus on psychological needs and sources of resilience.

Design/methodology/approach
The study was designed following the principles of action research and was carried out in three phases involving nine co-researchers. Thematic analysis was used to interpret the resulting data, collected through semi-structured interviews.

Findings
The findings highlight challenges which are faced by asylum seekers after migrating to the UK and indicate how these do not allow for psychological needs to be met, undermining resilience. Co-researchers indicated that aspects of the asylum system were perceived as unfair, adding to existing losses and promoting fear. Strength was found through engaging with communities and religious practices.

Practical implications
The research suggests that asylum seekers feel misrepresented and misunderstood within the public realm and raises serious questions around the current asylum legislation. It offers practitioners insight into key determinants for psychological well-being from the perspective of asylum seekers, providing suggestions for sensitive and appropriate interventions.

Originality/value
The study offers original insights into asylum seekers’ experiences, with a specific focus on Bristol. The use of action research and the involvement of asylum seekers as co-researchers are also noteworthy, as collaborative research is scarce in this field.
Transition to social-ecological sustainability using the environmental fiscal reform
Authors: Gazzani Flavio 
Published: February 2021

PurposeThe purpose of this paper is to examine the introduction of three specific fiscal flexible mechanisms such as VAT surcharges/discounts, surcharges on import/manufacture of risk substances and maturity land tax to implement a new environmental fiscal reform that aims to reduce pollutions and emissions and avoid a regressive impact on low-income households using a feedback system.Design/methodology/approachThe idea behind this article is to explore alternative environmental taxation system that aims to foster the transition to social-ecological sustainability without affect negatively poor and low-income households. It looks at the potential of environmental fiscal reform in terms of environmental benefits and present in the first section, evidence of some economic regressive impact caused by environmental fiscal reform in European Union from previous empirical studies. The article then introduces of a feedback mechanism to create a repayment system, such as rebate or cash transfer to compensate the regressive effect of the levy being added to the consumer price affecting low-income households in a very short period and push consumers to buy alternative eco-friendly products and services and to stimulate the market to offer them.FindingsLowering VAT rate for green products and services has the potential to increase demand for sustainable products and services and stimulate green jobs. Surcharges on import and manufacture of risk substances play a significant role to discourage the import of hazardous and pollutant substances by putting price on them and push the industrial sector towards a medium and long-term transition. Lowering taxes rates for buildings in inner cities encourage improvements and renovations, while raising tax on peri-urban areas discourage land speculation in areas with higher grade of biodiversity. This fiscal mechanism indirectly will reduce private and public transport emissions caused by urban sprawling and travel costs, reduce public infrastructure costs for connecting suburban area to the inner city and reduce the loss of urban-edge farmland area that are vital for smart urban growth.Originality/valueThe previous studies on the economic impact of the on environmental fiscal reform analysis, have focused on environmental aspects, economic growth and employment, but little on the regressive impact in short and medium terms on least wealthy sections of society. The proposed feedback mechanism aims to reduce distortion and inequalities caused by surcharges on existing taxation to low-income using monetary repayment measures, especially for products and services with elastic demand and no substitutes.
Physical and climate change-related risk identification in valuation practice: an Australian perspective
Authors: Warren-Myers Georgia , Cradduck Lucy 
Published: February 2021

PurposeThe purpose of this research is to investigate Australian property valuers' identification and consideration of physical risks to properties in valuation practice. The research further explores valuers' considerations of climate change-related risks.Design/methodology/approachThe research approach comprised an online survey of Australian valuers who were members of the Australian Property Institute. The online survey included structured and unstructured questions to explore types and extent of risk investigations in valuation practice.FindingsThe analysis reflects that while valuers easily identified and engaged with physical risks, there is a lack of understanding of, and engagement with, climate change risks. This supports the need for better information sources and guidance to inform valuers of climate change risksper se, as well as the development of specific mechanisms for consideration of such risks to be included in valuation processes, practices and reports.Research limitations/implicationsThe research is limited by the small sample size achieved due to the timing of the survey deployment, which occurred during the first wave of COVID-19 lockdowns in Australia. Thus, the findings are not necessarily representative of the Australian valuation profession, but they do provide indications of current approaches to risk identification in practice and the need for more guidance in relation to climate change risks.Practical implicationsThis research identifies that more support, guidance, information and tools, as well as awareness-raising, are required to enable valuers to accurately identify all risks affecting a property.Originality/valueThe research provides a snapshot of current understandings of physical risk identification in valuation practice. As investors and other organisations integrate and build up their analysis of climate risks to their portfolios and organisations, this research indicates that valuers also need to be aware of changing market assessment of physical and climate risks associated with property for consideration in valuation.
Managers' sexually-oriented behavior and firm performance: linking media reports to stock market reactions and legal risk
Authors: Baker Amy Nicole , King David , Nalick Michael , Tempio Melissa , Gupta Vishal K. , Pierce Charles A. 
Published: February 2021

PurposeThe goal of this study is to examine the association between managers' sexually-oriented behavior in publicly traded firms and subsequent stock market reactions. Both sexual harassment and nonharassing sexually-oriented behavior (i.e. workplace romance) are associated with negative shareholder reactions. The authors also examine factors that may alter the stock market reaction and those that may reduce the risk of lawsuit in sexual harassment cases.Design/methodology/approachInformation about incidents of sexually-oriented behavior was collected from media reports and content coded. An event study with a stock market reaction was used to measure the impact of disclosed sexually-oriented behaviors. Logistic regression was used to assess the relationship between incident characteristics and sexual harassment lawsuits.FindingsDisclosure of managers' sexually-oriented behavior is associated with a negative stock market reaction. Interestingly, the reaction was not more severe for sexual harassment disclosures compared to nonharassing behavior (i.e. workplace romance). Results also suggest that terminating a manager prior to disclosure of an event is negatively related to a harassment lawsuit.Originality/valueThe authors report this as the first study to focus on the stock market reaction of sexually-oriented harassing and nonharassing behavior of managers. This work complements research that documents the negative impact of sexual harassment on individuals by demonstrating these behaviors are associated with loss and risk at an organizational level.
Efficacy and safety of tildrakizumab in Japanese patients with moderate to severe plaque psoriasis: Results from a 64‐week phase 3 study (reSURFACE 1)
Authors: Igarashi Atsuyuki , Nakagawa Hidemi , Morita Akimichi , Okubo Yukari , Sano Shigetoshi , Imafuku Shinichi , Tada Yayoi , Honma Masaru , Mendelsohn Alan M. , Kawamura Masaki , Ohtsuki Mamitaro 
Published: February 2021

AbstractTildrakizumab is a high‐affinity, humanized immunoglobulin G1κ, anti‐interleukin‐23p19 monoclonal antibody recently approved in Japan for treatment of plaque psoriasis. We report results from Japanese patients treated with tildrakizumab in the multinational, randomized, double‐blind, placebo‐controlled reSURFACE 1 study (clinicaltrials.gov NCT01722331). Adults with moderate to severe plaque psoriasis were randomized (2:2:1) to receive subcutaneous tildrakizumab 100 or 200 mg or placebo every 12 weeks. Placebo recipients were rerandomized to tildrakizumab 100 or 200 mg at week 12. The global study coprimary endpoints were the proportions of patients achieving 75% improvement from baseline Psoriasis Area and Severity Index (PASI 75) and Physician Global Assessment (PGA) response (0/1 with ≥2 grade reduction from baseline) at week 12. Analyses included 158 Japanese patients randomized to tildrakizumab 100 (n = 64) or 200 mg (n = 62) or placebo (n = 32). Japanese patients had higher mean baseline body surface area involvement and PASI versus all reSURFACE 1 patients. At week 12, significantly more Japanese patients receiving tildrakizumab 100 and 200 mg versus placebo achieved PASI 75 (54.7% and 54.8% vs 6.3%, respectively, both nominal p < 0.001) and PGA 0/1 response (54.7% and 56.5% vs 9.4%, respectively, both nominal P < 0.001). Response rates increased over time with maximal efficacy after 22‐28 weeks; >80% of patients achieving PASI 75 or PASI 90 at week 28 and continuing tildrakizumab treatment at the same dose maintained response at week 64. From baseline to week 28, absolute PASI decreased from >12 in all patients to ≤2 in >40% and ≤3 in >50% of patients receiving tildrakizumab. Tildrakizumab was generally well tolerated with an adverse event profile similar to that of placebo. Tildrakizumab treatment was associated with durable efficacy in Japanese patients with moderate to severe plaque psoriasis despite greater baseline disease severity versus the global reSURFACE 1 population.
The changes of respiratory microbiome between mild and severe asthma patients
Authors: Wang Qunzhi , Guo An , Sheng Meiling , Zhou Hua 
Published: February 2021

AbstractDue to the increased number of patients suffering from asthma, the mechanism of this disease has been subject to much attention from the public and finding a cure for this disease is urgent. A changed abundance of the microbiome has been proven to play an important role in the genesis and development of asthma. In this study, the abundance and the function of the microbiome were studied. It was found that there were significant changes in the components and the function of the microbiome when asthma changed from mild to severe. This study could help us to better understand the relationship between asthma and the respiratory microbiome.