bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivators and barriers of ulam consumption among residents from low-cost housing areas in Kuala Lumpur
Authors: Yahya Hanis Mastura , Mohd Zuhaimi Nurul Aini Fadzleena , Mohd Jamil Sameeha , Shahar Suzana , You Yee Xing 
Published: February 2024

PurposeUlam is a traditional salad that contains high levels of antioxidants and is commonly consumed in raw form. However, the average ulam consumption among the low-income Malaysian population was only ½ serving daily. Thus, this study aimed to explore the motivators and barriers to ulam consumption among residents of low-cost housing areas (household income RM4849 or $1015.50) in Kuala Lumpur, Malaysia.Design/methodology/approachSix focus group discussions were conducted with 27 Malay residents aged 18–59 years in Kuala Lumpur, Malaysia. The researchers asked the participants a series of semi-structured questions. All the interviews were audio-recorded and transcribed verbatim. Two researchers coded the transcripts independently, and several themes were identified. The data were analysed using Nvivo version 12 software.FindingsThree main factors for ulam consumption were identified in this study: personal, environmental and behavioural. The motivators and barriers were identified based on nine main themes and 16 sub-themes.Practical implicationsThe results of this study identified potential areas for an effective intervention to increase ulam intake among residents in low-cost housing areas.Originality/valueThis work has the potential to identify the factors that have an impact on consumers' ulam preferences to help fulfil daily vegetable recommendations.
What do we know about cryptocurrency investment? An empirical study of its adoption among Indian retail investors
Authors: Kumar Jitender , Rani Vinki 
Published: February 2024

Purpose
This study aims to examine the cryptocurrency adoption (CA) level among Indian retail investors who use cryptocurrency as an investment and mode of transaction.

Design/methodology/approach
Through self-administered survey questionnaires, data is collected from 397 retail investors of Haryana (India). This study adopted a quantitative method using partial least squares structural equation modeling (PLS-SEM).

Findings
This paper offered a robust model with a high explanatory value for CA in which four of the five proposed factors of diffusion of innovation theory (trialability, compatibility, complexity and observability) and one of the two proposed factors of consumer behavioral theory (perceived value) significantly influences CA. More specifically, the absence of regulatory support is a barrier to the broad adoption of cryptocurrencies, as its regulations are necessary to mitigate or minimize uncertain outcomes.

Research limitations/implications
This research primarily focuses on CA in India. Thus, it can be extended to cover diverse other countries for more precise results.

Practical implications
The results provide insights to the government to design the policies, better regulate and make investment strategies that can ultimately enhance CA. In addition, the study’s results also inform financial educators, policymakers, employers and academicians about the significance of several variables affecting CA in India.

Social implications
From a social standpoint, this study is an advance that directs central banks and governments to develop, regulate and manage digital currencies and implement a digital currency ecosystem. Moreover, the results assist in understanding investors’ perceptions and decision-making perspectives toward cryptocurrencies through the country’s digitalization.

Originality/value
This paper fills the study gap to assist policymakers and cryptocurrency experts in broadening their knowledge base and recognizing prioritized intentions. Additionally, this study provides a theoretical model with the latent variable for a present and pertinent matter.
The curatorial turn in tourism and hospitality
Authors: Richards Greg 
Published: February 2024

Purpose
This study, a conceptual paper, analyses the growth of curation in tourism and hospitality and the curator role in selecting and framing products and experiences. It considers the growth of expert, algorithmic, social and co-creative curation modes and their effects.

Design/methodology/approach
Narrative and integrative reviews of literature on curation and tourism and hospitality are used to develop a typology of curation and identify different curation modes.

Findings
Curational techniques are increasingly used to organise experience supply and distribution in mainstream fields, including media, retailing and fashion. In tourism and hospitality, curated tourism, curated hospitality brands and food offerings and place curation by destination marketing organisations are growing. Curation is undertaken by experts, algorithms and social groups and involves many of destination-related actors, producing a trend towards “hybrid curation” of places.

Research limitations/implications
Research is needed on different forms of curation, their differential effects and the power roles of different curational modes.

Practical implications
Curation is a widespread intermediary function in tourism and hospitality, supporting better consumer choice. New curators influence experience supply and the distribution of consumer attention, shaping markets and co-creative activities. Increased curatorial activity should stimulate aesthetic and stylistic innovation and provide the basis for storytelling and narrative in tourism and hospitality.

Originality/value
This is the first study of curational strategies in tourism and hospitality, providing a definition and typology of curation, and linking micro and macro levels of analysis. It suggests the growth of choice-based logic alongside service-dominant logic in tourism and hospitality.
Family business innovation: an updated bibliometric study to propose future research agenda
Authors: Hooi Lai Wan , Chan Ai Joo 
Published: February 2024

Purpose
This study aims to identify the updated areas in family business innovation (FBI) and propose a future research agenda for scholars in the domain.

Design/methodology/approach
Using VOSviewer and Bibliometrix-R, this study conducts a bibliometric analysis on 699 Scopus-indexed journal articles/reviews to analyse FBI’s performance and intellectual structure.

Findings
This study provides up-to-date assessment through performance analysis. Through the co-citation, co-word and thematic evolution analysis, this study unpacks FBI themes/topics to propose possible future avenues.

Practical implications
The findings provide insights into resilient innovation-driven family businesses to enlighten the next generation of family business leaders with essential innovation knowledge for sustainable growth.

Originality/value
This study complements past FBI reviews by offering renewed perspectives that future research can focus on, in turn, enhancing literature on contemporary, relevant topical issues in the FBI post-COVID-19 pandemic.
Dynamic capabilities view on value creation in public procurement
Authors: Karttunen Elina , Jääskeläinen Aki , Malacina Iryna , Lintukangas Katrina , Kähkönen Anni-Kaisa , Vos Frederik G.S. 
Published: February 2024

Purpose
This study aims to build on the dynamic capability view by examining dynamic capabilities associated with public value in public procurement.

Design/methodology/approach
A qualitative case study approach is used in this study. The interview and secondary data consist of eight cases of value-creating procurement from four public organizations.

Findings
The findings connect dynamic capabilities and public value in terms of innovation generation and promotion, well-functioning supplier markets, public procurement process effectiveness, environmental and social sustainability and quality and availability of products or services.

Social implications
Dynamic capabilities in public procurement are necessary to improve public procurement.

Originality/value
This study extends understanding of how sensing, seizing and transforming capabilities contribute to public value creation in both innovative and less innovative (i.e. ordinary) procurement scenarios.
What are tenants demanding the most? A machine learning approach for the prediction of time on market
Authors: Cajias Marcelo , Freudenreich Anna 
Published: February 2024

PurposeThis is the first article to apply a machine learning approach to the analysis of time on market on real estate markets.Design/methodology/approachThe random survival forest approach is introduced to the real estate market. The most important predictors of time on market are revealed and it is analyzed how the survival probability of residential rental apartments responds to these major characteristics.FindingsResults show that price, living area, construction year, year of listing and the distances to the next hairdresser, bakery and city center have the greatest impact on the marketing time of residential apartments. The time on market for an apartment in Munich is lowest at a price of 750 € per month, an area of 60 m2, built in 1985 and is in a range of 200–400 meters from the important amenities.Practical implicationsThe findings might be interesting for private and institutional investors to derive real estate investment decisions and implications for portfolio management strategies and ultimately to minimize cash-flow failure.Originality/valueAlthough machine learning algorithms have been applied frequently on the real estate market for the analysis of prices, its application for examining time on market is completely novel. This is the first paper to apply a machine learning approach to survival analysis on the real estate market.
Portraying passenger travel patterns for Beijing public transit system with user profiling method
Authors: Zhang Ke , Huang Ailing 
Published: February 2024

Purpose
The purpose of this paper is to provide a guiding framework for studying the travel patterns of PT users. The combination of public transit (PT) users’ travel data and user profiling (UP) technology to draw a portrait of PT users can effectively understand users’ travel patterns, which is important to help optimize the scheduling of PT operations and planning of the network.

Design/methodology/approach
To achieve the purpose, the paper presents a three-level classification method to construct the labeling framework. A station area attribute mining method based on the term frequency-inverse document frequency weighting algorithm is proposed to determine the point of interest attributes of user travel stations, and the spatial correlation patterns of user travel stations are calculated by Moran’s Index. User travel feature labels are extracted from travel data containing Beijing PT data for one consecutive week.

Findings
In this paper, a universal PT user labeling system is obtained and some related methods are conducted including four categories of user-preferred travel area patterns mining and a station area attribute mining method. In the application of the Beijing case, a precise exploration of the spatiotemporal characteristics of PT users is conducted, resulting in the final Beijing PTUP system.

Originality/value
This paper combines UP technology with big data analysis techniques to study the travel patterns of PT users. A user profile label framework is constructed, and data visualization, statistical analysis and K-means clustering are applied to extract specific labels instructed by this system framework. Through these analytical processes, the user labeling system is improved, and its applicability is validated through the analysis of a Beijing PT case.
Environmental change legacies attenuate disturbance response of desert soil microbiome and multifunctionality
Authors: Peng Ziheng , Gao Hang , Pan Haibo , Qi Jiejun , Chen Shi , Liu Yu , Wang Yang , Jin Chujie , Wei Gehong , Jiao Shuo 
Published: February 2024

Abstract

Deserts are predicted to be one of the ecosystems most vulnerable to global climate change, with dramatic fluctuations of temperature and water, even over the span of a single day. These previous disturbances could influence the response of the soil microbiome and its functions to subsequent disturbances, which is known as legacy effect. However, how legacy effects shape the response of soil microbiome and its functions to environmental fluctuations (e.g. temperature and water availability) in desert ecosystems remains to be investigated.

Here, we firstly exposed desert soils to drought, freezing or their combination, and then followed by a second disturbance, resulting in a temporally full factorial treatment.

We found that environmental change legacies affected the response of soil multifunctionality, microbial abundance and richness to second drought and freezing, except for eukaryotic richness. Initial disturbances caused legacy effects on microbial composition and weakened their responses to later disturbances, and these effects were stronger for prokaryotes than eukaryotes. The attenuated response to later disturbances is largely due to that almost half of the taxa affected by the earlier disturbances were also affected by the second disturbances. The phylogenetic depth of these responses varied minimally among the types of disturbances but were more conserved for negative responses, indicating a result of historical adaptation. Moreover, the altered community composition was associated with functional changes in the disturbed soils.

These findings will improve our understanding of the mechanisms underlying the legacy impacts of multiple environmental disturbances on desert microbial communities and strengthen our ability to develop management strategies for protection prior to disturbance events.

Read the free Plain Language Summary for this article on the Journal blog.
Phenological growth stages of sweet potato (Ipomoea batatas (L.) Lam.) according to the extended BBCH scale
Authors: Pati Kalidas , Kaliyappan Raja , Giri Alok Kumar , Chauhan Vijay Bahadur Singh , Gowda Hanume , Arutselvan Rameshkumar , Nedunchezhiyan Maniyam , Laxminarayana Kuttumu 
Published: February 2024

AbstractSweet potato is grown for its starchy roots in many countries and is widely cultivated in India. This crop is widely acknowledged for its substantial economic and health benefits. However, a comprehensive description of its phenology has not been reported. The phenological growth stages of sweet potato are described here for the first time using the extended Biologische Bundesantalt, Bundessortenamt, and Chemische Industrie (BBCH) scale. Nine primary growth stages have been specifically defined, including germination (0), leaf development (1), main shoot development (2), side shoot development (3), tuber development (4), inflorescence emergence (5), flowering (6), fruit development (7), fruit maturation (8), and senescence (9). The sequential progression of key growth stages has been described according to the phenological development structure and environmental requirements of different phenophases. Because it covers all phenophases related to the vegetative and reproductive stages, the extended BBCH scale is extensively useful for sweet potato cultivation. The extended BBCH scale may also be a useful tool for assessing the potential effects of climate change on crop productivity and fruit quality.
Experiences and impact of a rural Australian high‐risk foot service: A multiple‐methods study
Authors: Tehan Peta Ellen , Donnelly Hailey , Martin Emma , Peterson Benjamin , Hawke Fiona 
Published: February 2024

AbstractObjectiveMost podiatry‐led high‐risk foot services (HRFS) in Australia are located in metropolitan areas or large regional centres. In rural areas, where there are limited specialist services, individuals with diabetes‐related foot ulceration are more likely to undergo amputation. This study aimed to explore clinicians' perceptions of a recently implemented HRFS in rural New South Wales, Australia, and compare trends of amputation and hospitalisation prior to and post‐implementation of the service.SettingRural HRFS in Tamworth, New South Wales, Australia.ParticipantsHealth professionals working within the HRFS were recruited to participate.DesignThis was a multiple‐methods study. For the qualitative arm, semi‐structured interviews were conducted, which were analysed using a reflexive thematic approach. The quantitative arm of the study utilised a retrospective analytic design which applied an interrupted time series to compare amputation and hospitalisation trends pre‐ and post‐implementation of the HRFS utilising diagnostic and procedural ICD codes.ResultsThe qualitative arm of the study derived three themes: (1) navigating the divide, (2) rural community and rural challenges and (3) professional identity. Results of the interrupted time series indicate that there was a downward trend in major amputations following implementation of the HRFS; however, this was not statistically significant.ConclusionClinicians were aware of the inequity in DFD outcomes between rural and metropolitan areas and were committed to improving outcomes, particularly with respect to First Nations peoples. Future research will explore service use and amputation rates in the longer term to further evaluate this specialised multidisciplinary care in a rural community.
Cardiac arrhythmia in COVID‐19 patients
Authors: Yu Lei , Liu Ying , Feng Yanjing 
Published: February 2024

AbstractThe coronavirus disease 2019 (COVID‐19) was first introduced in December 2019, which is known as severe acute respiratory syndrome caused by coronavirus‐2 (SARS‐CoV‐2) that is a serious and life‐threatening disease. Although pneumonia is the most common manifestation of COVID‐19 and was initially introduced as a respiratory infection, in fact, the infection of COVID‐19 is a subset of complications and damage to various organs. There are several reports of cardiac involvement with COVID‐19. A wide range of cardiac complications may occur following COVID‐19 infection, including systolic heart failure, myocarditis, pericarditis, atrial and ventricular arrhythmias, and thromboembolic events. There are various hypotheses about the pathophysiology of cardiovascular involvement by this virus. At the top of these hypotheses is the release of cytokines to the heart. Although there are other assumptions, considering that one of the causes of death in patients with COVID‐19 is arrhythmia. It is necessary to know correctly about its pathophysiology and etiology. Therefore, in this study, we have reviewed the articles of recent years in the field of pathophysiology and etiology of arrhythmia in patients with COVID‐19 infection. The purpose of this study was to provide a basis for a correct and more comprehensive understanding of the pathogenesis of arrhythmia in patients with COVID‐19 infection.
Physiologically‐based pharmacokinetic modelling of long‐acting injectable cabotegravir and rilpivirine in pregnancy
Authors: Atoyebi Shakir , Bunglawala Fazila , Cottura Nicolas , Grañana‐Castillo Sandra , Montanha Maiara Camotti , Olagunju Adeniyi , Siccardi Marco , Waitt Catriona 
Published: February 2024

AimsLong‐acting cabotegravir and rilpivirine have been approved to manage HIV in adults, but data regarding safe use in pregnancy are limited. Physiologically‐based pharmacokinetic (PBPK) modelling was used to simulate the approved dosing regimens in pregnancy and explore if Ctrough was maintained above cabotegravir and rilpivirine target concentrations (664 and 50 ng/mL, respectively).MethodsAn adult PBPK model was validated using clinical data of cabotegravir and rilpivirine in nonpregnant adults. This was modified by incorporating pregnancy‐induced metabolic and physiological changes. The pregnancy PBPK model was validated with data on oral rilpivirine and raltegravir (UGT1A1 probe substrate) in pregnancy. Twelve weeks' disposition of monthly and bimonthly dosing of long‐acting cabotegravir and rilpivirine was simulated at different trimesters and foetal exposure was also estimated.ResultsPredicted Ctrough at week 12 for monthly long‐acting cabotegravir was above 664 ng/mL throughout pregnancy, but below the target in 0.5% of the pregnant population in the third trimester with bimonthly long‐acting cabotegravir. Predicted Ctrough at week 12 for monthly and bimonthly long‐acting rilpivirine was below 50 ng/mL in at least 40% and over 90% of the pregnant population, respectively, throughout pregnancy. Predicted medians (range) of cord‐to‐maternal blood ratios were 1.71 (range, 1.55‐1.79) for cabotegravir and 0.88 (0.78‐0.93) for rilpivirine between weeks 38 and 40.ConclusionsModel predictions suggest that monthly long‐acting cabotegravir could maintain antiviral efficacy throughout pregnancy, but that bimonthly administration may require careful clinical evaluation. Both monthly and bimonthly long‐acting rilpivirine may not adequately maintain antiviral efficacy in pregnancy.
Association of non‐essential metals with Chinese schizophrenia: A case‐control study
Authors: Li Jiale , Chen Jiewen , Shen Bing , Lu Rumei , He Wanting , Huang Xiaolan , Li Dongmei , Su Li , Long Jianxiong 
Published: February 2024

AbstractBackgroundThe potential link between environmental pollutants, including metals, and schizophrenia development remains debated. This study aimed to explore the association between plasma levels of three non‐essential metals—barium (Ba), tungsten (W), and uranium (U)—and schizophrenia risk among Chinese individuals.MethodWe recruited a total of 221 patients and 219 healthy controls. Plasma levels of three non‐essential metals were measured using inductively coupled plasma mass spectrometry. We employed unconditional logistic regression and Bayesian kernel machine regression (BKMR) to explore the relationship between exposure to multiple metals and the risk of schizophrenia.ResultsLogistic regression analysis revealed that the highest quartile (Q4) of W had an odds ratio (OR) of 1.87 (95% CI: 1.08–3.21) compared to the lowest quartile (Q1), with a significant P‐trend of 0.017. For U, the ORs (95% CI) for Q2, Q3, and Q4 were 2.06 (1.19–3.56), 1.99 (1.15–3.44), and 1.74 (1.00–3.00), respectively. BKMR analyses revealed a progressive increase in the risk of schizophrenia with increasing cumulative levels of the three metals at concentrations below 35%, with U playing a major role in this association. U showed a non‐linear positive correlation with schizophrenia, particularly at the 75th percentile level. Moreover, potential interactions were observed between W and Ba, as well as between W and U.ConclusionHigher plasma W and U concentrations were positively associated with the risk of schizophrenia, which was potentially related to the severity of symptoms in schizophrenic patients.