bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antecedents of obesity among Indian youth: from consumer psychological and lifestyle perspective
Authors: Chaudhuri Ranjan , Chatterjee Sheshadri , Thrassou Alkis , Vrontis Demetris 
Published: May 2022

PurposeThe purpose of this study is to determine the antecedents of obesity among the younger generation of Indians (Generation Y) from a psychological and lifestyle consumer perspective. The study also investigates the moderating role of demography on the body mass index (BMI) of Indian youths.Design/methodology/approachThe study initially develops a conceptual model, stemming from an extensive theoretical research, and subsequently validates this using structural equation modeling (SEM) technique with a sample size of 1,242 Indian youths.FindingsThe study concludes that consumers' food habits (FH) and physical activity (PA) positively impact consumers' physical health (PH), which influences their BMI levels (BLs). Anxiety (AX), depression (DE), stress (ST), peer pressure (PP) and work pressure (WP) impact individuals' mental health (MH), which also influences their BLs. Finally, there is a significant moderating impact of demographic factors, such as age (AG), gender (GE) and income levels (ILs) on the relationship between individuals' physical and MH and individuals' BLs.Research limitations/implicationsThis study proposes a new model which highlights the issue of youth consumer obesity from the psychological and lifestyle perspectives. The model is effective as it has a high explanative power of 73%. The study investigates consumer obesity from emerging market like India perspective, but the study does not examine consumer food consumption behavior and obesity from developed market perspective.Practical implicationsYouth obesity could be considered a global pandemic, and obesity rates among the Indian youth are also increasing. This study provides valuable inputs and understanding of consumer markets to policy makers, consumer protection institutions, organizations related to the food and beverage industry, healthcare workers and consumers themselves regarding the antecedents of youth obesity (BL) in developing and emerging markets.Originality/valueThe study adds value to the body of literature related to consumer obesity, FH, consumer psychology and lifestyle through findings that are new in terms of findings' specificity, contextual focus and explication. Moreover, the study extends the cognitive theory of DE and the theory of planned behavior (TPB). The research effectively offers significant theoretical and practicable market knowledge to both scholars and marketing practitioners, as well as policy makers and institutions dealing with youth obesity, particularly in emerging markets.
Developing a resilient healthcare supply chain to prevent disruption in the wake of emergency health crisis
Authors: Hossain Md Kamal , Thakur Vikas , Kazancoglu Yigit 
Published: May 2022

PurposeThe study aims to identify and analyse the drivers of resilient healthcare supply chain (HCSC) preparedness in emergency health outbreaks to prevent disruption in healthcare services delivery in the context of India.Design/methodology/approachThe present study has opted for the grey clustering method to identify and analyse the drivers of resilient HCSC preparedness during health outbreaks into high, moderate and low important grey classes based on Grey-Delphi, analytic hierarchy process (AHP) and Shannon's information entropy (IE) theory.FindingsThe drivers of the resilient HCSC are scrutinised using the Grey-Delphi technique. By implementing AHP and Shannon's IE theory and depending upon structure, process and outcome measures of HCSC, eleven drivers of a resilient HCSC preparedness are clustered as highly important, three drivers into moderately important, and two drivers into a low important group.Originality/valueThe analysis and insights developed in the present study would help to plan and execute a viable, resilient emergency HCSC preparedness during the emergence of any health outbreak along with the stakeholders' coordination. The results of the study offer information, rationality, constructiveness, and universality that enable the wider application of AHP-IE/Grey clustering analysis to HCSC resilience in the wake of pandemics.
Effect of crowdsourcing work characteristics on perceived work effort in competitive crowdsourcing markets
Authors: Liu Ying , Liu Yongmei , Xiao Bo Sophia 
Published: May 2022

PurposeThis study explored whether crowdsourcing work characteristics are associated with perceived work effort in competitive crowdsourcing markets. The study also investigated the important contextual variables and internal mechanisms related to perceived work effort.Design/methodology/approachA questionnaire was posted as a crowdsourcing task on China's Time Fortune website. Data from 231 valid questionnaires were analyzed using SmartPLS 3.FindingsCrowdsourcing workers' intrinsic and extrinsic motivations were significantly and positively correlated with their perceived work effort. Task autonomy and feedback were significantly and positively correlated with intrinsic motivation. Skill variety, task significance, task identity, and task clarity had no significant correlations with intrinsic motivation. However, task clarity was significantly and positively correlated with perceived work effort. Moreover, the relationship between workers' trust in task requesters and perceived work effort was fully mediated by intrinsic motivation.Originality/valueThis study extended the job characteristic model into the virtual competitive crowdsourcing market. The authors verified the relationship between task clarity/trust in task requesters and workers' motivation and perceived work effort.
Enhancing inter-organisational partnerships in integrated care models for older adults: a multiple case study
Authors: Wankah Paul , Breton Mylaine , Steele Gray Carolyn , Shaw James 
Published: May 2022

PurposeThe purpose of this paper was to develop deeper insights into the practices enacted by entrepreneurial healthcare managers to enhance the implementation of a partnership logic in integrated care models for older adults.Design/methodology/approachA multiple case study design in two urban centres in two jurisdictions in Canada, Ontario and Quebec. Data collection included 65 semi-structured interviews with policymakers, managers and providers and analysis of key policy documents. The institutional entrepreneur theory provided the theoretical lens and informed a reflexive iterative data analysis.FindingsWhile each case faced unique challenges, there were similarities and differences in how managers enhanced a partnership’s institutional logic. In both cases, entrepreneurial healthcare managers created new roles, negotiated mutually beneficial agreements and co-located staff to foster inter-organisational partnerships between public, private and community organisations in the continuum of care for older adults. In addition, managers in Ontario secured additional funding, while managers in Quebec organised biannual meetings and joint training to enhance inter-organisational partnerships.Originality/valueThis study has two main implications. First, efforts to enhance inter-organisational partnerships should strategically include institutional entrepreneurs. Second, successful institutional changes may be supported by investing in integrated implementation strategies that target roles of staff, co-location and inter-organisational agreements.
Understanding flooding events in Ghana: a social marketing and self-determination theory perspective
Authors: Tweneboah-Koduah Ernest Yaw , Adams Matilda , Amoakoh Michael Nana , Braimah Stephen Mahamah 
Published: May 2022

Purpose
The purpose of this study is to deepen the understanding of individuals’ flood disaster mitigation behaviour through the theoretical lens of self-determination theory (SDT). Specifically, the paper examines the influence of autonomy, competence and relatedness on individuals’ self-determined motivation for flood disaster mitigation. The study also examines whether self-determined motivation influences individuals’ flood disaster mitigation behaviour adoption.

Design/methodology/approach
Through a cross-sectional survey design, the study used a quantitative research approach for data collection and analyses. Specifically, data was analysed using the structural equation modelling technique.

Findings
The result of this study revealed that competence was the strongest predictor of self-determined motivation, followed by autonomy. The result further shows that self-determined motivation positively influences individual’s adoption of flood mitigation behaviour. However, the results showed that relatedness does not predict self-determined motivation for flood disaster mitigation.

Practical implications
To enhance the effectiveness of flood disaster mitigation social marketing campaigns, the SDT psychological needs constructs (particularly, competence and autonomy) can aid in assessing the motivation of the target population towards adopting mitigation behaviours. An assessment of motivation will help understand perception of flood risk and behavioural evaluation. The consideration of autonomy and competence on motivation will aid in developing effective campaigns to satisfy the needs of the target population.

Originality/value
The paper adds to the limited research that used SDT to understand a social marketing phenomenon.
Foreign and domestic multinationals’ linkages in advanced, small open economies: do foreignness, regional origin and technological capability matter?
Authors: Scott-Kennel Joanna , Giroud Axèle , Saittakari Iiris 
Published: May 2022

Purpose
International business theory suggests that multinational enterprises (MNEs) seek to internalise resources embedded in local firms to complement their own through inter-organisational relationships, yet little is known about whether and how these business linkages differ between foreign (F)MNEs and domestic (D)MNEs. This paper aims to explore the linkage differential between DMNEs and FMNEs operating in the same single-country contexts and to examine whether foreignness, regional origin and technological capability make a difference.

Design/methodology/approach
This study is based on a unique firm-level data set of 292 MNEs located in five advanced, small open economies (SMOPECs). This study analyses the benefit received – in the form of technical and organisational resources and knowledge – by DMNEs and FMNEs via backward, forward and collaborative linkages with local business partners.

Findings
Our research finds FMNEs benefit less from linkages than DMNEs; and FMNEs originating from outside the region especially so. However, the results also show technological capability mitigates this difference and is thus a game changer for FMNEs from outside the region.

Originality/value
This paper differentiates between FMNEs and DMNEs in their propensity to benefit from resources received from different local partners and explores the influence of regional origin and technological capability. Despite the advanced and internationally oriented nature of SMOPECs, DMNEs still gain more benefit, suggesting either liabilities of foreignness and outsidership persist, or FMNEs do not desire, need or nurture local linkages.
Case study on simulation analysis of a logistics network with multiple products by applying lateral transshipments algorithms
Authors: Kundu Kaustav , Rossini Matteo 
Published: May 2022

Purpose
The purpose of this paper is to develop a simulation model to evaluate inventory and distribution decisions like lateral transshipments in a network with multiple products.

Design/methodology/approach
Data are collected from a company, and a discrete-event simulation in Python is developed to support the decision-making process of managers through different algorithms of lateral transshipments.

Findings
The numerical results show that the periodic delivery-continuous reorder policy is more robust than the others because the reorder process is not affected by the higher saturation that is achieved by periodic reorder–based policies. The new lateral transshipment algorithm will lead to huge savings in logistics costs for any company and increase truck saturation without causing a decrease in the service level.

Research limitations/implications
This paper provides a novel institutional perspective on a complex logistics issue where COVD-19 is believed to complicate the context.

Practical implications
This solution is devised for any company to achieve even greater benefits in terms of customer service improvement and logistics costs reduction.

Originality/value
The main contribution of this paper is the proposal of a new lateral transshipment algorithm that shows performance improvement by simulating distribution network processes according to different configurations.
Speaking the language of defence: narratives of doctoral examiners on the PhD viva
Authors: Tan Wee Chun 
Published: May 2022

PurposeThis paper aims to investigate doctoral examiners' narratives on their expectations of the candidate's oral performance in the PhD viva. Both the PhD examiners and handbooks that offer advice on the PhD viva preparation appear to share the same expectation of the candidate's oral performance in the viva. That is, candidates must answer questions to the satisfaction of examiners to warrant a pass in the oral examination. However, what constitutes a satisfactory viva performance – let alone an excellent one – is often undefined.Design/methodology/approachUsing narrative inquiry as the guiding research approach to investigate this issue, 12 experienced doctoral examiners from across the disciplines at a Malaysian research university were interviewed. Their narratives were analysed inductively.FindingsThe findings show that examiners expect candidates to speak the language of defence by manifesting confident, interactional behaviour, providing credible and convincing responses and displaying doctoralness. The aspects of candidate's oral performance undesired by the examiners, as well as the reasons for having such expectations, are also discussed. The paper argues that the expectations of examiners in the PhD viva should be made explicit and communicated to the candidates and examiners to ensure a positive doctoral assessment process and outcome.Originality/valueThis paper contributes to the literature on doctoral assessment, particularly on the PhD viva, through the voices of examiners in the Global South. It also offers an examiner expectancy model of the PhD viva.
Seismic impedance inversion using a multi‐input neural network with a two‐step training strategy
Authors: Meng Jinyu , Wang Shoudong , Niu Guohua , Sang Wenjing , Geng Weiheng , Cheng Wanli 
Published: May 2022

ABSTRACTDeep learning has shown excellent performance in simulating complex nonlinear mappings from the seismic data to elastic parameters. However, seismic acoustic impedance estimated from a direct mapping from seismic waveform data to P‐wave impedance (single‐input network) is hampered by the limited frequency bands. In this paper, we propose to incorporate the low‐frequency impedance model to constrain the inversion (multi‐input network). We add a feature fusion layer to force the lateral smoothness. Besides, usually, a given seismic survey is likely to contain only a few well logs, which is insufficient for conventional deep‐learning ‐based methods to learn the complex mapping from seismic data to elastic parameters. The problem is compounded by the fact that a network trained with synthetic data (compensated for the lack of logs) cannot be directly used for field data. Therefore, we propose to use transfer learning to mitigate this issue. The multi‐input neural network is trained using synthetics and real data in two stages. We carry out experiments to demonstrate that the two‐step training multi‐input network approach has high accuracy in the time direction, excellent continuity in the lateral direction and favourable robustness. Synthetic and field data examples demonstrate that the proposed network can accurately predict impedance even with limited logging data, which provides a reference for oil and gas exploration in the actual production process.
Nicotine‐conditioned place preference, reversal learning and social interaction in MK‐801‐induced schizophrenia model: Effects of post‐weaning enriched environment
Authors: Salmani Neda , Nozari Masoumeh , Parvan Mahdieh , Amini‐Sardouei Sara , Shabani Mohammad , Khaksari Mohammad , Ezzatabadipour Massood 
Published: May 2022

AbstractBased on the clinical observations of severe cognitive deficits in schizophrenia patients and the relationship between environmental parameters and the severity of schizophrenia symptoms, the present study investigated these parameters in an dizocilpine (MK‐801)‐induced schizophrenia model in rats. In addition to, it evaluated whether a post‐weaning enriched environment (EE) would affect the nicotine‐induced conditioned place preference (CPP) and the motor and cognitive deficits caused by MK‐801 treatment. Male Wistar rat pups were injected peritoneally with MK‐801 (1 mg/kg) on a daily basis between the 6th and the 10th postnatal days (P) and were exposed to either an enriched or a standard cage from P21 until the end of the experiments. The rats were evaluated in open‐field and three‐chamber social interaction tests. Moreover, spatial and reversal learning was assessed by the Morris water maze (MWM). The animals were conditioned with 0.6 mg/kg nicotine and tested for CPP. Increased self‐grooming, exploratory behaviour, potentiated nicotine‐CPP and decreased social behaviours, delayed spatial learning and memory and impaired reversal learning in the water maze were observed in the MK‐801 treatment group. Housing in an EE improved cognitive and behavioural deficits associated with postnatal MK‐801 treatment. The results suggested that neonatal N‐methyl‐d‐aspartate (NMDA) receptor hypofunction may cause susceptibility to these behaviours and indicated the importance of environmental conditions in the development of schizophrenia and probably other neuropsychiatric disorders.
UV‐B‐induced DNA damage and repair pathways in polar Pseudogymnoascus sp. from the Arctic and Antarctic regions and their effects on growth, pigmentation and conidiogenesis
Authors: Wong Hao Jie , Mohamad‐Fauzi Nuradilla , Rizman‐Idid Mohammed , Convey Peter , Smykla Jerzy , Alias Siti Aisyah 
Published: May 2022

SummarySolar radiation regulates most biological activities on Earth. Prolonged exposure to solar UV radiation can cause deleterious effects by inducing two major types of DNA damage, namely, cyclobutane pyrimidine dimers (CPDs) and pyrimidine 6‐4 pyrimidone photoproducts. These lesions may be repaired by the photoreactivation (Phr) and nucleotide excision repair (NER) pathways; however, the principal UV‐induced DNA repair pathway is not known in the fungal genus Pseudogymnoascus. In this study, we demonstrated that an unweighted UV‐B dosage of 1.6 kJ m−2 d−1 significantly reduced fungal growth rates (by between 22% and 35%) and inhibited conidia production in a 10 d exposure. The comparison of two DNA repair conditions, light or dark, which respectively induced photoreactivation (Phr) and NER, showed that the UV‐B‐induced CPDs were repaired significantly more rapidly in light than in dark conditions. The expression levels of two DNA repair genes, RAD2 and PHR1 (encoding a protein in NER and Phr respectively), demonstrated that NER rather than Phr was primarily activated for repairing UV‐B‐induced DNA damage in these Pseudogymnoascus strains. In contrast, Phr was inhibited after exposure to UV‐B radiation, suggesting that PHR1 may have other functional roles. We present the first study to examine the capability of the Arctic and Antarctic Pseudogymnoascus sp. to perform photoreactivation and/or NER via RT‐qPCR approaches, and also clarify the effects of light on UV‐B‐induced DNA damage repair in vivo by quantifying cyclobutene pyrimidine dimers and pyrimidine 6‐4 pyrimidone photoproducts. Physiological response data, including relative growth rate, pigmentation and conidia production in these Pseudogymnoascus isolates exposed to UV‐B radiation are also presented.
Lysine 2‐hydroxyisobutyrylation orchestrates cell development and aflatoxin biosynthesis in Aspergillus flavus
Authors: Lv Yangyong , Wang Jing , Yang Haojie , Li Na , Farzaneh Mohsen , Wei Shan , Zhai Huanchen , Zhang Shuaibing , Hu Yuansen 
Published: May 2022

SummaryLysine 2‐hydroxyisobutyrylation (Khib) is a recently identified post‐translational modification (PTM) that regulates numerous cellular metabolic processes. In pathogenic microorganism, although glycolysis and fungal virulence are regulated by Khib, its potential roles in fungi remain to be elusive. Our preliminary results showed that levels of Khib fluctuate over time in Aspergillus flavus, which frequently contaminates crops and produces carcinogenic aflatoxins. However, the perception of Khib function in A. flavus is limited, especially in mycotoxin‐producing strains. Here, we performed a comprehensive analysis of Khib in A. flavus, and 7156 Khib sites were identified in 1473 proteins. Notably, we demonstrated that Khib of AflM, a key enzyme in aflatoxin biosynthesis, affected conidia production and sclerotia formation. Furthermore, aflM deletion impaired aflatoxin biosynthesis, and more importantly, strains in which Khib was mimicked by K to T mutation at K49, K179 and K180 sites showed reduced aflatoxin production compared with wild type and ΔaflM complementation strains. These results indicate that Khib at these sites of AflM negatively regulates aflatoxin biosynthesis in A. flavus. In summary, our study revealed the potential roles of Khib in A. flavus, and particularly shed light on a new way to regulate aflatoxin production via Khib.
Antibiotic‐producing Micrococcales govern the microbiome that inhabits the fur of two‐ and three‐toed sloths
Authors: Rojas‐Gätjens Diego , Valverde‐Madrigal Katherine S. , Rojas‐Jimenez Keilor , Pereira Reinaldo , Avey‐Arroyo Judy , Chavarría Max 
Published: May 2022

SummarySloths have a dense coat on which insects, algae and fungi coexist in a symbiotic relationship. This complex ecosystem requires different levels of controls; however, most of these mechanisms remain unknown. We investigated the bacterial communities inhabiting the hair of two‐ (Choloepus Hoffmanni) and three‐toed (Bradypus variegatus) sloths and evaluated their potential for producing antibiotic molecules capable of exerting control over the hair microbiota. The analysis of 16S rRNA amplicon sequence variants revealed that the communities in both host species are dominated by Actinobacteriota and Firmicutes. The most abundant genera were Brevibacterium, Kocuria/Rothia, Staphylococcus, Rubrobacter, Nesterenkonia and Janibacter. Furthermore, we isolated nine strains of Brevibacterium and Rothia capable of producing substances that inhibited the growth of common mammalian pathogens. The analysis of the biosynthetic gene clusters of these nine isolates suggests that the pathogen‐inhibitory activity could be mediated by the presence of siderophores, terpenes, beta‐lactones, Type III polyketide synthases, ribosomally synthesized and post‐translationally modified peptides, non‐alpha poly‐amino acids like e‐Polylysine, ectoine or non‐ribosomal peptides. Our data suggest that Micrococcales that inhabit sloth hair could have a role in controlling microbial populations in that habitat, improving our understanding of this highly complex ecosystem.