bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why link diverse citizen science surveys? Widespread arboreal habits of a terrestrial amphibian revealed by mammalian tree surveys in Britain
Authors: Petrovan Silviu O. , Al-Fulaij Nida , Christie Alec , Andrews Henry 
Published: February 2022

AbstractTerrestrial anurans, with their typically short limbs, heavy-set bodies and absent claws or toe pads are incongruous tree climbers, but even occasional arboreal locomotion could offer substantial advantages for evading predators or accessing new shelter or food resources. Despite recent interest, arboreal behaviour remains rarely and unsystematically described for terrestrial amphibians in Europe, likely due to fundamental differences in survey methods and therefore a lack of field data. However, other taxa surveys specifically target trees and tree cavities. We undertook collaborations and large-scale data searches with citizen science projects surveying for arboreal mammals in Britain to investigate potential tree climbing by amphibians at a national scale. Remarkably, we found widespread arboreal usage by amphibians in England and Wales, with occupancy of hazel dormouse (Muscardinus avellenarius) nest boxes, tree cavities investigated as potential bat roosts and even a bird nest by common toads (Bufo bufo), but few additional records of frogs or newts. Toads are potentially attracted to tree cavities and arboreal nests because they provide safe and damp microenvironments which can support an abundance of invertebrate prey but the importance of such tree microhabitats for toad conservation remains unknown. Possible interactions with arboreal mammals are also unclear, but such mammals and even some birds may benefit from the occasional presence of toads if they feed on the mites and other arthropods that frequently infest their nests. We encourage expanding and linking of unrelated monitoring surveys and citizen science initiatives as valuable tools for investigating ecological traits and interactions.
Deciphering the developmental order and microstructural patterns of early white matter pathways in a diffusion MRI based fetal brain atlas
Authors: Chen Ruike , Sun Cong , Liu Tingting , Liao Yuhao , Wang Junyan , Sun Yi , Zhang Yi , Wang Guangbin , Wu Dan 
Published: February 2022

AbstractWhite matter of the fetal brain undergoes rapid development to form the early structural connections. Diffusion MRI has shown to be a useful tool to depict the fetal brain white matter in utero, and many studies have observed increasing fractional anisotropy and decreasing mean diffusivity in the fetal brain during the second-to-third trimester, whereas others reported non-monotonic changes. Unbiased diffusion MRI atlases of the fetal brain are important for characterizing developmental trajectories of white matter and providing normative references for in-utero diagnosis of prenatal abnormalities. To date, the sole fetal brain diffusion MRI atlas was collected from a Caucasian/mixed population, and was constructed based on the diffusion tensor model with limited spatial resolution.In this work, we proposed a fiber orientation distribution (FOD) based pipeline for the generation of fetal brain diffusion MRI atlases, which showed better registration accuracy than diffusion tensor-based pipeline. Based on the FOD pipeline, we constructed the first Chinese fetal brain diffusion MRI atlas using 89 normal fetal diffusion MRI scans at GA between 24 and 38 weeks. Complex non-monotonic trends of tensor- and FOD-derived microstructural parameters in eight white matter tracts were observed, which jointly pointed to different phases of microstructural development. Specifically, we speculated that the turning point of the diffusivity trajectory may correspond to the starting point of pre-myelination, based on which, the developmental order of white matter tracts can be mapped and the order was in agreement with order of myelination from histological studies. The normative atlas also provided a reference for detection of abnormal white matter development, such as that in congenital heart disease. Therefore, the high-order fetal brain diffusion MRI atlas established in this study depicted the spatiotemporal pattern of early white matter development, and findings may help decipher the distinct microstructural events in utero.
A model about students’ behavioural intention to use university WeChat Library
Authors: Zhang Qian , Xi Qingkui 
Published: February 2022

Purpose
This study aims to build a model about students’ behavioural intention (BI) to use the university WeChat Library (WL).

Design/methodology/approach
Firstly, after the unified theory of acceptance and use of technology model was modified, a modified theory of acceptance and use of technology (MTAUT) model is built; a questionnaire survey, in which 1,003 valid observations are randomly collected from six universities in a city in eastern China, is performed; and then the results of the survey are used to build the model about students’ BI to use the WL based on regression analysis.

Findings
This study finds five factors, which are information quality (IQ), effort expectancy (EE), facilitating conditions (FC), performance expectancy (PE) and social influence (SI), that constitute independent variables of the model about students’ BI to use the university WL. And IQ has the greatest effect on students’ BI to use the WL, followed by EE, FC, PE and SI.

Originality/value
This study builds and tests a MTAUT model about students’ BI to use the university WL.
Impacts of COVID-19 outbreaks on the lower-income groups and attainments of SDGs: a study of the fast-growing commercial capital city, Chittagong, Bangladesh
Authors: Fattah Md. Abdul , Morshed Syed Riad , Hoque Md. Mojammel , Rabbi Md. Fazle , Dola Irin Akter 
Published: February 2022

PurposeThe emergence of COVID-19 and its spread led to severe social, economic and livelihood impacts around the world. This study documented the socioeconomic impacts of COVID-19 outbreaks and lockdown on the lower-income groups. Also illustrated the impacts on the attainment of SDGs in the context of the slums of Chittagong City.Design/methodology/approachBoth qualitative and quantitative data have been collected from the 150 respondents through questionnaire surveys in the slums.FindingsThe lockdown led to the decrease of 90% of the respondents' income level and affected the livelihoods of 97.33% of the respondents, with an overall score of 3.22 ± 0.67 on a four-point Likert-type scale. About 96.67% of respondents' psychological conditions have been affected high to extreme, with an overall score of 3.19 ± 0.68. The pandemic affected 74.67% of respondents' food habits, 95.33% of respondents' child education, increased domestic violence and deteriorated social security, basic service facilities and hygiene practices among the slum dwellers. The severity of COVID-19 outbreaks on the lower-income people makes it critical for the government to attain the SDG 1, SDG 2, SDG 3, SDG 4, SDG 5 (Target 5.1, 5.2) SDG 6 and SDG 16.Originality/valueThe findings of the study will help governments, policymakers, international organizations to adopt measures to mitigate the effects of the outbreaks.
A mixed faster R-CNN and positioning coordinates method for recognition of suit button arrangement with small sample sizes
Authors: Yang Yanwen , Jiang Yuping , Zhang Qingqi , Zou Fengyuan , Du Lei 
Published: February 2022

PurposeIt is an important style classification way to sort out suits according to the button arrangement. However, since the different dressing ways of suit cause the buttons to be easily occluded, the traditional identification methods are difficult to identify the details of suits, and the recognition accuracy is not ideal. The purpose of this paper is to solve the problem of fine-grained classification of suit by button arrangement. Taking men's suits as an example, a method of coordinate position discrimination algorithm combined faster region-based convolutional neural network (R-CNN) algorithm is proposed to achieve accurate batch classification of suit styles under different dressing modes.Design/methodology/approachThe detection algorithm of suit buttons proposed in this paper includes faster R-CNN algorithm and coordinate position discrimination algorithm. Firstly, a small sample base was established, which includes six suit styles in different dressing states. Secondly, buttons and buttonholes in the image were marked, and the image features were extracted by the residual network to identify the object. The anchors regression coordinates in the sample were obtained through convolution, pooling and other operations. Finally, the position coordinate relation of buttons and buttonholes was used to accurately judge and distinguish suit styles under different dressing ways, so as to eliminate the wrong results of direct classification by the network and achieve accurate classification.FindingsThe experimental results show that this method could be used to accurately classify suits based on small samples. The recognition accuracy rate reaches 95.42%. It can effectively solve the problem of machine misjudgment of suit style due to the cover of buttons, which provides an effective method for the fine-grained classification of suit style.Originality/valueA method combining coordinate position discrimination algorithm with convolutional neural network was proposed for the first time to realize the fine-grained classification of suit style. It solves the problem of machine misreading, which is easily caused by buttons occluded in different suits.
Supply chain disruptions: flexibility measures when encountering capacity problems in a port conflict
Authors: Rogerson Sara , Svanberg Martin , Santén Vendela 
Published: February 2022

PurposeThere can be many negative effects from a disruption in a central node of companies' supply chains, such as a port conflict that reduces capacity. Strategies for disruption management include flexibility and redundancy. This paper aims to analyse a supply chain disruption from flexibility and capacity perspectives.Design/methodology/approachA case study was conducted of the supply chain disruption caused by the port conflict in 2016–2017 in Gothenburg, in which the port operated at a reduced capacity. Companies importing and exporting goods, freight forwarders, hauliers, train operators, ports, shipping companies and their agents were interviewed.FindingsVarious capacity problems (ports, links, container chassis, empty containers) were encountered due to the port conflict. Flexibility measures such as node, mode and fleet flexibility can be used in response to changes in capacity. Difficulties with applying flexibility are discussed.Research limitations/implicationsAlthough based on a Swedish case, findings are relevant for disruptions or other types of disturbances in ports elsewhere and also in other important nodes in companies' supply chains.Practical implicationsActors influenced by disturbances in a port can increase their understanding of potential capacity problems and flexibility measures. Readiness and timely action are important due to competition regarding capacity.Originality/valueThe implications on the transport network surrounding a port, including many actors, are explained, illustrating how capacity problems propagate, but there is some flexibility to manage the problems.
Coping with the postponement boundary problem: an empirical investigation in global food supply chains
Authors: Prataviera Lorenzo Bruno , Moretti Emilio , Tappia Elena 
Published: February 2022

PurposeThe postponement boundary problem entails that duties and cross-border trade complexity can lead companies to geographically postpone operations to downstream global facilities. The present study aims at investigating the problem to provide insights into the drivers behind the choice of different postponement strategies for global food supply chains.Design/methodology/approachA single case study was conducted considering an Italian company exporting olive oil toward the United States. Two global postponement strategies, previously formalized in the literature, were tailored for food supply chains. A multi-methodological approach was adopted, combining data obtained through exploratory case research with empirically grounded analytical modeling. A sensitivity analysis was also performed, to investigate outcomes related to the considered problem when changing key parameters.FindingsBulky and heavy packing materials account for a big percentage of finished products' volume and weight, and this can deeply affect strategies' cost-effectiveness. Postponing packaging operations could allow for taking advantage of lower tariffs levied on bulk goods, contributing to significantly lower duties to be paid. However, important trade-offs could arise related to the required investments, and the fiscal regulatory frameworks must be carefully examined.Originality/valueThis study offers an empirical investigation of the postponement boundary problem, which is largely unexplored in the current literature. It also tackles an understudied empirical context as global food supply chains. It summarizes the drivers behind and explores the costs related to the implementation of different strategies, offering an original quantitative approach that could support practitioners' decision-making. Lastly, it formalizes five propositions that could pave the way for further research inquiries.
Reducing the environmental impact of food service in universities using life cycle assessment
Authors: Sherry Jesse , Tivona Shannon 
Published: February 2022

Purpose
This study aims to use life cycle assessment to determine the environmental impact of food purchases at a small, liberal arts college. The authors also use the results to develop a simple decision-making tool for college and university dining services administrators, attempting to make their food purchases more sustainable.

Design/methodology/approach
Life cycle assessment was used to analyze the global warming potential (GWP) of all food products purchased at a college café during a four-month study period.

Findings
The authors found the top ten highest impact products accounted for 40% of orders by weight, but 80% of the GWP. In particular, beef and cheese exhibited the highest GWP/kg. These findings highlight the importance of considering the carbon intensity of food products when making purchasing decisions. The authors also examined the carbon intensity and cost of common meal options and developed a carbon intensity comparison heuristic that can assist in making food purchasing decisions with the goal of lowering the GWP of food purchases.

Practical implications
The results of this study show that life cycle assessment is a useful tool for university food service operations seeking to reduce environmental impact. The carbon intensity food comparison heuristic based upon this data serves as a helpful decision-making tool in guiding food service to reduce GWP.

Originality/value
While life cycle assessment has typically been used to analyze individual food products, this study demonstrates its use as a decision-making tool to guide purchasing decisions across an entire array of food purchases.
Just a little bit of history repeating: the recurring and fatal consequences of lacking professional knowledge of acquired brain injury
Authors: Holloway Mark , Norman Alyson 
Published: February 2022

Purpose
The purpose of this paper is to review safeguarding adult reviews (SARs) pertaining to individuals with acquired brain injury (ABI) since 2014. This extended literature review also explores the lessons and recommendations from these reviews in relation to social work practice within the UK.

Design/methodology/approach
The literature review reported and discussed findings across reviews and then used a thematic analysis to synthesise the findings and recommendations from the SARs reviews.

Findings
This paper identified four main themes: a lack of awareness of the needs of those with ABI and their families and around the symptoms and nuances of brain injury, particularly executive impairment and mental capacity, among social workers; poor interdisciplinarity led to a lack of shared communication and decision-making with professionals with such knowledge; a poor understanding of aspects of the mental capacity legislation, particularly surrounding unwise decisions, led to inappropriate or absent mental capacity assessments; and a lack of professional curiosity led to a lack of action where intervention or assessment was required.

Research limitations/implications
This review identifies significant shortcomings in social work practice, education and training within the UK with regards to ABI.

Practical implications
This paper provides recommendations to current social work practice and highlights the need for significant improvements in pre-qualification and post-qualification training and supervision of social workers.

Originality/value
To the best of the authors’ knowledge, while there have been extensive reviews conducted on SARs, this is the only review that has focused solely on ABI.
Buying US products and services: religiosity, animosity, and ethnocentrism of young consumers
Authors: Sadiq  , Ahmad Muhammad Salman 
Published: February 2022

PurposeThe aim of this empirical study is to examine how religiosity, animosity and ethnocentrism interact to influence judgment about US products and purchase actions of young consumers in a conservative Islamic country like Pakistan. Many studies have been conducted before in progressive Islamic countries such as Malaysia, Jordan, Turkey and Tunisia but not in conservative Islamic countries like Pakistan.Design/methodology/approachA validated questionnaire derived from literature is used for data collection. Data were collected from 381 college students in four provincial capital cities of Pakistan (Karachi, Lahore, Quetta and Peshawar). Structural equation modeling is used to test the framework.FindingsThis study reveals key significant cause and effect relationships like consumers religiosity on foreign product judgment, consumers animosity on foreign product judgment, consumers religiosity on ethnocentric tendencies of consumers, consumers ethnocentric tendencies on foreign product judgment and foreign product judgment on purchase action of consumers.Originality/valueThis study attempts to add value to the existing literature on consumer behavior, especially the role of religiosity, animosity and ethnocentrism in young consumers. This study is the first of its kind on examining religiosity, animosity and ethnocentrism among young consumers in Pakistan. To the best of the authors’ knowledge, this study will guide the marketing managers to formulate appropriate strategies when targeting young consumers, especially when they decide to boycott US products.
The invisible leash: when human brands hijack corporate brands' consumer relationships
Authors: Giertz Johann N. , Hollebeek Linda D. , Weiger Welf H. , Hammerschmidt Maik 
Published: February 2022

PurposeCorporate brands increasingly use influential, high reach human brands (e.g. influencers, celebrities), who have strong parasocial relationships with their followers and audiences, to promote their offerings. However, despite emerging understanding of the benefits arising from human brand-based campaigns, knowledge about their potentially negative effects on the corporate brand remains limited. Addressing this gap, this paper deepens insight into the potential risk human brands pose to corporate brands.Design/methodology/approachTo explore these issues, this conceptual paper reviews and integrates literature on consumer brand engagement, human brands, brand hijacking and parasocial relationships.FindingsThough consumers' favorable human brand associations can be used to improve corporate brand outcomes, they rely on consumers' relationship with the endorsing human brand. Given the dependency of these brands, human brand-based marketing bears the risk that the human brand (vs the firm) “owns” the consumer's corporate brand relationship, which the authors coin relationship hijacking. This phenomenon can severely impair consumers' engagement and relationship with the corporate brand.Originality/valueThis paper sheds light on the role of human brands in strategic brand management. Though prior research has highlighted the positive outcomes accruing to the use of human brands, the authors identify its potential dark sides, thus exposing pivotal insight.
How isolation leads to purchasing luxury brands: the moderating effects of COVID-19 anxiety and social capital
Authors: Thapa Sajani , Guzmán Francisco , Paswan Audhesh K. 
Published: February 2022

PurposeThe purpose of this paper is to investigate how consumers’ luxury purchase behavior has been affected by COVID-19. A theoretical framework is proposed to determine how isolation leads to intention to purchase luxury brands through bandwagon luxury consumption behavior. Additionally, the moderating effects of COVID-19 anxiety and social capital on the relationship between bandwagon luxury consumption behavior and subjective well-being and intention to purchase luxury brands are tested.Design/methodology/approachSurvey responses from a national sample of 261 luxury consumers in the USA were collected. The data were analyzed using a covariance-based structural equation modeling technique.FindingsThe results confirm that the feeling of isolation leads to a higher intention to purchase luxury brands. Both COVID-19 anxiety and social capital moderate the relationship between bandwagon luxury consumption behavior and intention to purchase luxury brands/subjective well-being related to the luxury brand purchase.Research limitations/implicationsLuxury marketers should focus on highlighting bandwagon elements of their brands, such as their popularity and how they enhance social connectedness when tailoring their brand communication to isolated consumers. The data is limited to luxury consumers in the USA; thus, the findings are specific to the US market.Originality/valueGiven the paucity of research on luxury consumption for isolated consumers, this study adds to the literature on luxury brands by examining how the feeling of isolation affects the intention to purchase luxury brands.
A structured framework for performance optimization using JBLTO, FCOPRAS and FCODAS methodologies
Authors: Gopal Nand , Panchal Dilbagh 
Published: February 2022

PurposeThe proposed hybridized framework provides a new performance optimization-based paradigm for analysing the failure behaviour of paneer unit (PU) in the dairy industry.Design/methodology/approachA novel fuzzy Jaya-based Lambda–Tau Optimization (JBLTO) approach-based mathematical modelling was developed for calculating various reliability indices of the considered unit. Failure mode and effect analysis (FMEA) was carried using qualitative information gathered from system's expert opinions. Fuzzy-complex proportional assessment (FCOPRAS) approach was integrated within FMEA to recognize the most critical failure causes associated with various subsystem/components.FindingsThe availability of the unit falls by 0.053% as the uncertainty level increases from ±15 to ±25% and further decreases to 0.323% as the uncertainty level increases from ±25 to ±60%. Failure causes, namely wearing in gears of gearbox (MST4), an impeller's cavitation and/or corrosion (CFP4), winding failure of electric motor (WS9), were recognized as the most critical failure causes with FCOPRAS final performance scores of 100, 100 and 100 and fuzzy combinative distance-based assessment (FCODAS) resultant assessment score of 0.5997, 1.1898 and 1.6135.Originality/valueJBLTO approach-based reliability results were compared with traditional particle swarm optimization-based Lambda–Tau (PSOBLT) and traditional fuzzy Lambda–Tau (FLT) approaches for confirming the downward trend in the system's availability. The ranking results of qualitative analysis are compared with the implementation of FCODAS technique. Sensitivity analysis was executed to evaluate the robustness of the proposed hybridized framework.