bluuebunny/crossref_metadata_2025_split huggingface dataset:
Border-crossing frequencies of CO2 embodied in international trade of construction products for final demand
Authors: Gao Qun , Liu Bin , Sun Jide , Liu Chunlu , Xu Youquan 
Published: March 2022

PurposeThis paper aims to better understand the linkage between CO2 emitters and industrial consumers. The border-crossing frequency is applied to calculate the average number of steps that a country takes in relation to the CO2 emissions of its construction industry. The maximum border-crossing frequency and declining speed of CO2 transfer are used to reveal the relationship between the length of production chains and the transfer efficiency of construction products.Design/methodology/approachThis paper maps the CO2 transfer that accompanies global production chains using the frequency of border crossing in the production processes of construction products. As the basic analysis framework, a multi-regional input–output model is adopted to analyse the average border-crossing frequency of CO2 transfer. Additionally, indicators including the maximum border-crossing frequency and declining speed of CO2 transfer are employed. Also, the maximum border-crossing frequency and declining speed of CO2 transfer are used to reveal the relationship between the length of production chains and the transfer efficiency of construction products.FindingsThe results indicate that 85.49% of the CO2 in construction products needs to be processed in at least one country, reflecting that direct trade is the major pattern of transfer of CO2 from primary producers in global construction industries. The maximum border-crossing frequency is 4.88 for 15 economies, meaning that construction products cross the international borders up to 4.88 times before they are absorbed by the final users. The scale of the average border-crossing frequency ranged from 1.16 to 1.87 over 2000–2014, indicating that the original construction products crossed the international borders at least 1.16 times to satisfy the final demand of the consuming countries.Research limitations/implicationsThe data from the economic MRIO tables in the WIOD are only available until 2014, which is a limitation for conducting this research in recent years.Originality/valueThe fragmentation of production is not only reshaping global trade patterns, but also leading to the separation of CO2 emitters and final consumers in production chains. A growing number of studies have focussed on the impact of production fragmentation on accounting for regional and national CO2 emissions, but little research has been done at the scale of a specific industry. The major contribution of this paper lies in mapping the CO2 emissions that accompany the production chains of construction products from the perspectives of both magnitude and length. Additionally, this paper is the first to propose using maximum border-crossing frequency and declining speed to analyse the characteristics of global production chains induced by the final demand of major economies for construction products.
Social media government communication and stakeholder engagement in the era of Covid-19: evidence from Italy
Authors: Fissi Silvia , Gori Elena , Romolini Alberto 
Published: March 2022

PurposeCovid-19 is a worldwide pandemic disease that changed the government communication to citizens about the health emergency. This study aims to provide in-depth research about regional Italian government communication through social media (SM) and its effects on citizens' engagement.Design/methodology/approachThe study uses a case analysis, focusing on the Italian context. In detail, the authors analyse the more involved Italian regions in Covid-19 pandemic (Lombardy, Veneto, Piedmont, Emilia Romagna and Tuscany) applying the Crisis and Emergency Risk Communication (CERC) model.FindingsThe results reveal that SM is a powerful tool for communication during a health emergency and for facilitating the engagement with stakeholders. However, results also highlight a different perception about the timing of the Covid-19 crisis.Practical implicationsFindings suggest a gap between the answer of the public government compared to the citizens' needs that are clear since the first earlier stage of the pandemic event. The engagement level is very high since the first phase of the pandemic event; however, to be adequately developed, it requires specific and timing information that are not always in line with the citizens’ communication needs.Originality/valueThis is the first research that aims to study the citizens' engagement in the Italian regions during the Covid-19 pandemic.
Corporate governance determinants of asset quality in an emerging economy: evidence from Indian banks
Authors: Gupta Prashant Kumar , Sharma Seema 
Published: March 2022

PurposeThis paper aims to identify specific corporate governance determinants of asset quality in the Indian banking system and suggest a future course of action for research in the Indian banking industry. The results will guide other developing nations to handle poor asset quality in banks. Nations with economic interest in India can take cognisance from the results.Design/methodology/approachThe authors identify the determinants of asset quality for the Indian banks using novel data from 2010 to 2019 through a dynamic panel data approach. The authors analyse 45 public and private sector banks using general method of moments.FindingsThe results indicate that intensity of board activities, board functioning and ownership concentration are significant determinants of asset quality. Furthermore, the study hypotheses on board independence and board size are rejected as they do not significantly impact the asset quality. The authors also call for further research on the qualitative aspects of gender diversity, board independence and special committee activity for better insights.Originality/valueThis is the first study to identify specific corporate governance determinants of asset quality for the Indian banking system using a dynamic panel data approach with data spanning over ten years from 45 banks. Unlike all other studies, the authors have used both bank-specific and macroeconomic variables as control variables, making the results accurate and reliable. The authors also recognise the persistent nature of asset quality.
Outcome evaluation of an educational programme for preventing recidivism by adult firesetters
Authors: Pearson Dominic , Hayward Samuel , Blampied Shane 
Published: March 2022

Purpose
In intervening to prevent recidivism by adult firesetters, there is a dearth of standardised interventions and relatedly of controlled outcome evaluations. Although education is a common firesetter intervention, it is unclear if this changes behaviour of adults; a research situation the current study aimed to address.

Design/methodology/approach
The rate of actual fire recidivism of participants of a standardised educational programme was compared using Cooke’s (1989) equation to expected rates based on the firesetting history of 93 referrals.

Findings
Results indicated a significant large effect for the difference between the frequencies of expected and actual firesetting re-offences.

Research limitations/implications
Limitations of the one-group pretest–posttest design are discussed with respect to potential confounds.

Practical implications
This paper adds to the literature on adult firesetter interventions and lends support to the use of fire education to prevent fire recidivism. It provides the first empirically validated example of a structured education programme for adult firesetters. Of interest to services piloting new intervention programmes, it reports an operationally efficient methodology for preliminary evaluation.

Originality/value
To the best of the authors’ knowledge, this is the first reported outcome study of a fire safety education programme for adults. The methodology adopted represents a means of preliminary evaluation in safety-critical areas where traditional evaluation designs are infeasible.
“Value for money?” Exploring the consumer experience on shared accommodation platforms: evidence from online reviews in China
Authors: Zhuo Xiaoqian , Wang Wei-Tsong 
Published: March 2022

Purpose
With the development of the sharing economy, the collaborative consumption model has become more popular and has changed the way people engage in tourism. This study aims to explore. consumer experience in different types of rooms on a shared accommodation platform.

Design/methodology/approach
In this study, the authors divided the rooms on the shared accommodation platform into a budget type and a luxury type according to the room price and used content analysis to analyze 15,710 online reviews published on Xiaozhu.

Findings
This study found that consumer expectations varied depending on the room type. “Host,” “room,” “transportation and location” and “value” were the four common topics that consumers paid attention to in both room types. “Environment” and “objective conditions” were the particular focuses of the budget room consumers. However, consumers cared about “aesthetics” and “accommodation purpose” when staying in luxury rooms. These results reflected the influence of room prices on consumer experiences.

Originality/value
To the best of the authors’ knowledge, this study is one of the first to compare the consumer experience in rooms at different price points based on the evidence provided in online reviews. Latent Dirichlet allocation (LDA) analysis was used to extract the underlying topics from the online reviews, which provided more exciting results. This study leads to a comprehensive understanding of the consumer experience from the perspective of expectation theory, enriching the prior research on shared accommodation platforms.
Money laundering in the United Arab Emirates: the risks and the reality
Authors: Teichmann Fabian Maximilian Johannes , Wittmann Chiara 
Published: March 2022

Purpose
This study aims to examine the possibility of laundering money through the United Arab Emirates (UAE), the perceived risk and the stark reality. That money laundering prevention mechanisms are being circumvented is evident by reference to the international assessments by the Financial Action Task Force and information from key informants. To develop effective improvements, the modus operandi of money laundering needs to be re-examined.

Design/methodology/approach
The empirical findings are based on over 60 semi-standardized interviews with alleged criminal and expert compliance officers operating in an international arena. These findings were subject to a qualitative content analysis, while a further quantitative survey of around 200 compliance officers expanded on the techniques of money laundering. This served to explore whether there was a discrepancy between the presentation of money laundering in the literature in contrast to reality.

Findings
Owing to the transnational nature of money laundering, the global financial market is dependent on the uniformity of anti-money laundering (AML) regulations. Despite immense progress, there are still several key weaknesses in the financial system of the UAE, such as the existence of Free Zones and the divergence of AML awareness.

Research limitations/implications
The scope of the interviews is limited to the personal experience of the informants. This is mediated by seeking uniformity in answers as well as literature support.

Originality/value
This paper, supported by empirical evidence, discerns why the current regulatory measures are minimally effective. There is an unmistakable need for the international coordination of financial regulatory bodies. The literature describes the occurrence of money laundering, but no studies have engaged to examine the pragmatic mechanism in place which allow money laundering to persevere despite the significant improvements of AML policies.
Open-source syringe extrusion head for shear-thinning materials 3D printing
Authors: Dávila José Luis , Manzini Bruna Maria , d'Ávila Marcos Akira , da Silva Jorge Vicente Lopes 
Published: March 2022

Purpose
This study aims to report the development of an open-source syringe extrusion head for shear-thinning materials. The target is to adapt open-source 3D printers to be helpful in research lines that use gels, hydrogels, pastes, inks, and bio-inks.

Design/methodology/approach
This hardware was designed to be compatible with a Graber i3-based 3D printer; nevertheless, it can be easily adapted to other open-source 3D printers.

Findings
The extrusion head successfully deposits the material during the 3D printing process. It was validated fabricating geometries that include scaffold structures, which are a possible application of bioprinting for tissue engineering. As reported, the extruded filaments allowed the porous samples' structuration.

Practical implications
This system expands the applications of open-source 3D printers used at the laboratory scale. It enables low-cost access to research areas such as tissue engineering and biofabrication, energy storage devices and food 3D printing.

Originality/value
The open-source hardware here reported is of simple fabrication, assembly and installation. It uses a Cardan coupling and a three guides system to transfer the stepper motor motion. This approach allows continuous movement transfer to the syringe piston, producing an adequate deposition or retraction. Thus, the effect of misalignments is avoided, considering that these latter can cause skipping steps in the motor, directly affecting the deposition.
Want to improve school mental health interventions? Ask young people what they actually think
Authors: Foulkes Lucy , Stapley Emily 
Published: March 2022

Abstract
As part of the recent ‘therapeutic turn’ in education, schools are now commonly seen as a place for mental health guidance and support. This often involves interventions—special curricula of lessons or activities (e.g. counselling sessions), which aim to either prevent mental health problems or manage those that have already started. Running these interventions in schools makes good sense: rates of mental health problems in young people are rising, and large numbers can be reached in this setting. However, evidence for the effectiveness of such interventions has been mixed. One way to improve how helpful and useful they are, we argue here, would be to ask young people themselves what they think about these programmes. This involves collecting qualitative data: gathering in-depth information about young people's experiences and opinions, rather than relying solely on numerical data, such as rating scales. The small number of existing published qualitative studies in this area show that many young people do find these interventions helpful, but there are issues that warrant careful attention. For example, some young people can feel worried or vulnerable during classroom-based exercises, and others don't see how the interventions are relevant for their own lives. Here, we explore this literature and recommend two avenues for future work: ask more young people what they think of existing interventions, and get them involved in the design of new ones. Together, this will put young people's voices at the heart of school-based mental health interventions.
Using ensemble methods to improve the robustness of deep learning for image classification in marine environments
Authors: Wyatt Mathew , Radford Ben , Callow Nikolaus , Bennamoun Mohammed , Hickey Sharyn 
Published: March 2022

Abstract

Deep learning has been shown to be effective for classification of coral in benthic imagery, and is becoming a tool for use in many monitoring programs around the world. Although deep learning accuracy for coral reef classification has been well published for studies where validation metrics are generated from data within surveys, little research has been done on the transferability and generalisability of deep learned models to data never seen by the trained model. Examples include data across multiple capture methods, camera systems, habitat types, water quality conditions and temporal studies.

In this paper we investigate the use of deep ensembling to measure the reliability of predictions in new or unseen environments.

In this paper we show that ensemble methods are more stable in their calibration across dataset shifts compared with other approaches.

Ensembles show more robust uncertainty quantification in unseen environments compared to alternative methods, thus providing more confidence in the use of pre‐trained models in unconstrained environments. These results show that ensembles should be the de facto standard for any practitioner using deep learning for benthic image automation, and applying deep learning approaches to coral classification.
Effects of dietary macronutrients on the hepatic transcriptome and serum metabolome in mice
Authors: Wu Yingga , Green Cara L. , Wang Guanlin , Yang Dengbao , Li Li , Li Baoguo , Wang Lu , Li Min , Li Jianbo , Xu Yanchao , Zhang Xueying , Niu Chaoqun , Hu Sumei , Togo Jacques , Mazidi Mohsen , Derous Davina , Douglas Alex , Speakman John R. 
Published: March 2022

AbstractDietary macronutrient composition influences both hepatic function and aging. Previous work suggested that longevity and hepatic gene expression levels were highly responsive to dietary protein, but almost unaffected by other macronutrients. In contrast, we found expression of 4005, 4232, and 4292 genes in the livers of mice were significantly associated with changes in dietary protein (5%–30%), fat (20%–60%), and carbohydrate (10%–75%), respectively. More genes in aging‐related pathways (notably mTOR, IGF‐1, and NF‐kappaB) had significant correlations with dietary fat intake than protein and carbohydrate intake, and the pattern of gene expression changes in relation to dietary fat intake was in the opposite direction to the effect of graded levels of caloric restriction consistent with dietary fat having a negative impact on aging. We found 732, 808, and 995 serum metabolites were significantly correlated with dietary protein (5%–30%), fat (8.3%–80%), and carbohydrate (10%–80%) contents, respectively. Metabolomics pathway analysis revealed sphingosine‐1‐phosphate signaling was the significantly affected pathway by dietary fat content which has also been identified as significant changed metabolic pathway in the previous caloric restriction study. Our results suggest dietary fat has major impact on aging‐related gene and metabolic pathways compared with other macronutrients.
Antibiotic prescriptions for children with lower respiratory tract infections fell from 2014 to 2020, but misuse was still an issue
Authors: Korppi Matti , Heikkilä Paula , Palmu Sauli , Huhtala Heini , Csonka Péter 
Published: March 2022

AbstractAimWe evaluated main trends in antibiotic prescriptions for children with lower respiratory tract infection (LRTI) by Terveystalo, Finland's largest private healthcare company.MethodsThe study comprised of 89,359 children aged 0–17 years (57.2% boys) who visited Terveystalo primary care clinics from 2014 to 2020 with LRTI. The data were assessed by age, study year, location, the doctor's speciality and whether the diagnosis was bronchitis or community‐acquired pneumonia (CAP).ResultsThere were gradual decreases in overall antibiotic prescription rates during the study period (37.0% in 2014 vs. 20.1% in 2020) and in prescribed macrolides (16.8% vs. 7.5%). Altogether, 31.3% of 72,737 children with bronchitis and 22.5% of those 16,622 with CAP‐received antibiotics. Macrolides were the most frequently prescribed antibiotics for bronchitis, at more than 40%, without any substantial relative decrease during the study. Costs of antibiotics increased from 2014 to 2016 and then decreased in line with the reduction in prescriptions. However, there was still a marked overuse of antibiotics, especially macrolides, for children with bronchitis. The relative use of amoxicillin for CAP increased from 41.4% to 65.4% between 2016 and 2020, in line with current guidelines.ConclusionDespite an overall reduction in prescribed antibiotics, some antibiotics were still overused, particularly macrolides for bronchitis.
Effect of vitamin K3 supplementation on immunoglobulin G concentration in colostrum of periparturient Holstein dairy cows
Authors: Kuroiwa Tomoko , Ohtani Yoshihisa , Obara Yoshiaki , Terada Fuminori , Watanabe Kimika , Shirakawa Hitoshi , Komai Michio , Satoh Hiroshi , Sato Shigeru , Ichijo Toshihiro 
Published: March 2022

AbstractThis study was to examine the effects of dietary vitamin K (VK) 3 supplementation on immune‐related substances in milk, oxidative stress indices in plasma and VK1, and menaquinone 4 (MK‐4) in plasma and milk in periparturient dairy cows. Forty healthy perinatal Holstein‐Friesian dairy cows were used in this study. Twenty‐one animals were randomly selected and categorized into the VK3 supplemented (50 mg/day/head as VK3) group; the remaining 19 were categorized into the control group. On day 3 after calving, blood and milk were sampled, and their chemical components were determined.The VK3 supplemented group had significantly higher menaquinone 4 levels in plasma and milk on day 3 postpartum than the control group. In addition, there was a significant increase in the immunoglobulin G (IgG) level in milk. VK3 may be absorbed from the gastrointestinal tract and converted to MK‐4, the biologically active form of VK, in the mammary gland and other tissues. It was thought that the increase in MK‐4 level in plasma and milk induced an increase in the concentration of IgG in milk. VK3 supplementation to periparturient dairy cows may contribute to the production of colostrum with high concentrations of IgG and MK‐4.
Killing in the name of: A merciful death?
Authors: Moore Bryanna 
Published: March 2022

Abstract“Mercy” holds a well‐established place in the discourse on assisted death (AD), with mercy rhetoric used by both proponents and opponents of AD alike. In this paper, I interrogate the relationship between mercy, mercy killing and AD. Appeals to mercy introduce an ambiguity that carries implications for the enduring debate about healthcare professionals' participation in this controversial practice. The term “mercy killing” is used at different times to mean all of the following: killings that are acts of punitive leniency, killings motivated by pity, killings motivated by compassion, and acts of voluntary, involuntary and nonvoluntary euthanasia. I argue that killings that are acts of punitive leniency “track” a conceptually useful understanding of mercy and, by extension, mercy killing. However, if mercy is understood in this way, then “mercy killing” is a problematic way of characterizing physician‐AD. While reference to mercy killing has been weeded out of AD legislation over time, the same cannot be said of public discourse, where the debate about physicians' character—and the locus of power with respect to who gets to decide when a life can rightly be ended—continues.