bluuebunny/crossref_metadata_2025_split huggingface dataset:
MFCT-GAN: multi-information network to reconstruct CT volumes for security screening
Authors: Jiang Yixiang 
Published: April 2022

PurposeAt airport security checkpoints, baggage screening is aimed to prevent transportation of prohibited and potentially dangerous items. Observing the projection images generated by X-rays scanner is a critical method. However, when multiple objects are stacked on top of each other, distinguishing objects only by a two-dimensional picture is difficult, which prompts the demand for more precise imaging technology to be investigated for use. Reconstructing from 2D X-ray images to 3D-computed tomography (CT) volumes is a reliable solution.Design/methodology/approachTo more accurately distinguish the specific contour shape of items when stacked, multi-information fusion network (MFCT-GAN) based on generative adversarial network (GAN) and U-like network (U-NET) is proposed to reconstruct from two biplanar orthogonal X-ray projections into 3D CT volumes. The authors use three modules to enhance the reconstruction qualitative and quantitative effects, compared with the original network. The skip connection modification (SCM) and multi-channels residual dense block (MRDB) enable the network to extract more feature information and learn deeper with high efficiency; the introduction of subjective loss enables the network to focus on the structural similarity (SSIM) of images during training.FindingsOn account of the fusion of multiple information, MFCT-GAN can significantly improve the value of quantitative indexes and distinguish contour explicitly between different targets. In particular, SCM enables features more reasonable and accurate when expanded into three dimensions. The appliance of MRDB can alleviate problem of slow optimization during the late training period, as well as reduce the computational cost. The introduction of subjective loss guides network to retain more high-frequency information, which makes the rendered CT volumes clearer in details.Originality/valueThe authors' proposed MFCT-GAN is able to restore the 3D shapes of different objects greatly based on biplanar projections. This is helpful in security check places, where X-ray images of stacked objects need to be distinguished from the presence of prohibited objects. The authors adopt three new modules, SCM, MRDB and subjective loss, as well as analyze the role the modules play in 3D reconstruction. Results show a significant improvement on the reconstruction both in objective and subjective effects.
Modelling the demand for educational tourism: do dynamic effect, university quality and competitor countries play a role?
Authors: Hussein Siti Hajar , Kusairi Suhal , Ismail Fathilah 
Published: April 2022

PurposeThis study aims to develop an educational tourism demand model, particularly in respect to dynamic effects, university quality (QU) and competitor countries. Educational tourism has been identified as a new tourism sub-sector with high potential, and is thus expected to boost economic growth and sustainability.Design/methodology/approachThis study reviews the literature on the determinants of educational tourism demand. Even though the existing literature is intensively discussed, mostly focusing on the educational tourism demand from an individual consumer's perspective, this study makes an innovation in line with the aggregate demand view. The study uses data that consist of the enrolment of international students from 47 home countries who studied in Malaysia from 2008 to 2017. The study utilised the dynamic panel method of analysis.FindingsThis study affirms that income per capita, educational tourism price, price of competitor countries and quality of universities based on accredited programmes and world university ranking are the determinants of educational tourism demand in both the short and the long term. Also, a dynamic effect exists in educational tourism demand.Research limitations/implicationsThe results imply that government should take the quality of services for existing students, price decisions and QU into account to promote the country as a tertiary education hub and achieve sustainable development.Originality/valueResearch on the determinants of the demand for educational tourism is rare in terms of macro data, and this study includes the roles of QU, competitor countries and dynamic effects.
From pandemic to Prada: examining online luxury-brand self-narratives
Authors: Sharma Yukti , Silal Prakrit , Kumar Jitender , Singh Ramendra 
Published: April 2022

PurposeAmidst the exponential spread of the COVID-19 pandemic, this study aims to explore the evolving dynamics underlying consumers' narratives about luxury-brands over social media. While visualizing these Online Luxury-Brand Self-Narratives (OLBSNs) as a decision-making situation, the authors question the “rational-being” assumption of the Net Valence Model (NVM) during a pandemic situation. Specifically, the authors draw upon Terror Management Theory (TMT) to explicate the role of pandemic-induced mortality salience in rendering the idealistic assumptions of NVM unattainable. The authors uncover evidence of risk-taking behavior among luxury consumers while using OLBSNs as a potential meaning-providing structure during the pandemic.Design/methodology/approachThis study employed a cross-sectional survey method. The authors conducted a structured Qualtrics survey to collect data from 588 respondents. The authors examined the hypothesized relationships using structural equation modeling.FindingsIn contrast to the conventional wisdom of NVM, the results suggest a positive influence of not only perceived benefits but also perceived risks on intention to engage in OLBSN and brand advocacy during the ongoing pandemic.Research limitations/implicationsThis study explains the emerging dynamics of pandemic-induced mortality salience in OLBSN decision-making and has implications for luxury-brand marketers in designing brand communication strategies over social media.Originality/valueThis study makes an original endeavor to extend NVM beyond rational decision-making context by integrating the theoretical tenets of TMT within NVM while also delineating the decision-making mechanism of OLBSNs during the pandemic.
Application of green building concepts and technologies for sustainable building development in Sub-Saharan Africa: the case of Ghana
Authors: Anzagira Lee Felix , Duah Daniel , Badu Edward , Simpeh Eric Kwame , Amos-Abanyie Samuel , Marful Alexander 
Published: April 2022

PurposeGreen building (GB) is globally acclaimed as the most formidable solution to the adverse effects that buildings and construction activities have on the climate and environment. Nonetheless, current evidence suggests that the adoption of GB in developing countries of Sub-Saharan Africa (SSA) is at a snail’s pace and characterized by the absence of GB codes and frameworks. This paper aims to determine the current level of adoption and implementation of GB concepts and technologies in the Ghanaian construction industry (GCI).Design/methodology/approachAn exploratory method of investigation involving a quantitative approach was used to achieve the objectives of this study. A literature review was conducted, and a questionnaire survey was conducted among 292 stakeholders in the GCI. The survey data was analyzed using descriptive and inferential statistics as well as other quantitative analysis techniques.FindingsThe analysis revealed that the five most applied green building technologies (GBTs) are technologies for optimizing site planning, building orientation and configuration, use of natural ventilation, integrative use of natural lighting with electric lighting systems, application of energy-efficient lighting systems and use of permeable paving: low-traffic areas. Notably, the majority of the GBTs belong to the energy-efficiency technologies category.Research limitations/implicationsThe findings indicate that GBTs are gaining momentum in Ghana and that there is a need for ongoing research to develop new and more environmentally friendly building technologies to aid in the preservation of our society and natural resources to achieve United Nations Sustainable Development Goals (UN SDGs) 12 and 13.Originality/valueIn effect, this study will enhance the awareness of GB development and contribute to the GB body of knowledge, particularly in the context of developing countries. It would also be useful to the GCI’s contribution to achieving the UN SDGs.
Stressors or facilitators? Exploring the factors that impact police officers' abilities to respond to disablist hate crime
Authors: Tyson Jemma 
Published: April 2022

PurposeThe purpose of this paper is to explore stressors and facilitators experienced by police officers when engaging with individuals with learning disabilities, within the context of policing disablist hate crime.Design/methodology/approachThis paper is based on qualitative data obtained from research undertaken within a medium-sized police force in the south of England, and which focuses on the lived realities of service providers and service users. Using a triangulatory research approach, this research included a total of 230 h of observations of day-to-day policing, 10 semi-structured interviews with police officers and 4 focus groups with individuals with learning disabilities.FindingsStressors, previously identified by sociologist Michael Lipsky – the unpredictability of situations, workload pressures and need for rapid decision making – are discussed within the research, alongside additional stressors regarding the previous experience (internal and external to policing) held by police officers. For some officers, these have the opposite impact and serve as facilitators of positive engagements with individuals with learning disabilities. The discussion is situated within the social model of disability, with an emphasis placed on the impact stressors have on police processes. Finally, the paper suggests practical options for enhancing confidence within the interactions between these two groups, through police training.Originality/valueThe current paper explores an under-researched area of policing and disablist hate crime and utilises a combined approach of the social model of disability and Lipsky's (1980) street-level bureaucrats.
A review on colorimetric indicators for monitoring product freshness in intelligent food packaging: Indicator dyes, preparation methods, and applications
Authors: Luo Xiaoyu , Zaitoon Amr , Lim Loong‐Tak 
Published: April 2022

AbstractIntelligent food packaging system exhibits enhanced communication function by providing dynamic product information to various stakeholders (e.g., consumers, retailers, distributors) in the supply chain. One example of intelligent packaging involves the use of colorimetric indicators, which when subjected to external stimuli (e.g., moisture, gas/vapor, electromagnetic radiation, temperature), display discernable color changes that can be correlated with real‐time changes in product quality. This type of interactive packaging system allows continuous monitoring of product freshness during transportation, distribution, storage, and marketing phases. This review summarizes the colorimetric indicator technologies for intelligent packaging systems, emphasizing on the types of indicator dyes, preparation methods, applications in different food products, and future considerations. Both food and nonfood indicator materials integrated into various carriers (e.g., paper‐based substrates, polymer films, electrospun fibers, and nanoparticles) with material properties optimized for specific applications are discussed, targeting perishable products, such as fresh meat and fishery products. Colorimetric indicators can supplement the traditional “Best Before” date label by providing real‐time product quality information to the consumers and retailers, thereby not only ensuring product safety, but also promising in reducing food waste. Successful scale‐up of these intelligent packaging technologies to the industrial level must consider issues related to regulatory approval, consumer acceptance, cost‐effectiveness, and product compatibility.
Adzuki bean (Vigna angularis): Chemical compositions, physicochemical properties, health benefits, and food applications
Authors: Li Hang , Zou Liang , Li Xin‐Yan , Wu Ding‐Tao , Liu Hong‐Yan , Li Hua‐Bin , Gan Ren‐You 
Published: April 2022

AbstractAdzuki bean (Vigna angularis), also called red bean, is a legume of Fabaceae (Leguminosae) family. This crop is native to East Asia and is also commercially available in other parts of the world. It is becoming a research focus owing to its distinct nutritional properties (e.g., abundant in polyphenols). The diverse health benefits and multiple utilization of this pulse are associated with its unique composition. However, there is a paucity of reviews focusing on the nutritional properties and potent applications of adzuki beans. This review summarizes the chemical compositions, physicochemical properties, health benefits, processing, and applications of adzuki beans. Suggestions on how to better utilize the adzuki bean are also provided to facilitate its development as a functional grain. Adzuki bean and its components can be further developed into value‐added and nutritionally enhanced products.
Extra virgin olive oil: A comprehensive review of efforts to ensure its authenticity, traceability, and safety
Authors: Lozano‐Castellón Julián , López‐Yerena Anallely , Domínguez‐López Inés , Siscart‐Serra Aina , Fraga Nathalia , Sámano Samantha , López‐Sabater Carmen , Lamuela‐Raventós Rosa M , Vallverdú‐Queralt Anna , Pérez Maria 
Published: April 2022

AbstractThe growing demand for extra virgin olive oil (EVOO), appreciated for its unique organoleptic properties and health benefits, has led to various fraudulent practices to maximize profits, including dilution with lower value edible oils. The adulterated oils would be of poor nutritional quality, more readily oxidized, and may contain unhealthy substances formed during processing. Nevertheless, the range of available techniques to detect fraud in EVOO production has been growing. Reliable markers of EVOO adulteration include fatty acids and minor components such as sterols, tocopherols, triterpene alcohols, phenolic compounds, phospholipids, volatile compounds, and pigments. Additionally, increasing consumer interest in high‐quality EVOO has led to the development of robust scientific methods for its traceability.This review focuses on (i) the usefulness of certain compounds as markers of EVOO adulteration; (ii) the potential health risks of consuming adulterated EVOO; and (iii) reliable methods for the geographical traceability of olive oil. In conclusion, fraudulent production practices need to be detected to preserve the beneficial health effects of EVOO and to avoid the potential risks associated with ingesting substandard oil. In this work, as EVOO certification and regulatory framework limitations have already been extensively reviewed, we focus our attention on biomarkers that guarantee both the authenticity and traceability of oil, and consequently its health properties. When it is unavailable to obtain a high‐resolution mass spectrometry full fingerprint, stigmastadienes and the sterolic profile are proposed as reliable markers.
Petrogenesis of the Early Jurassic Longtang and Menglong Peraluminous Granites in Tengchong Terrane, and their Tectonic Implication
Authors: WANG Guochang , LIU Zheng , TAN Shucheng , HE Xiaohu , WANG Yuchao , QI Changshi , YE Hui 
Published: April 2022

AbstractA comprehensive study of zircon U‐Pb geochronology, in situ Hf isotopes, whole‐rock major and trace element geochemistry, and Nd isotopes was carried out for two Early Jurassic two‐mica granites (Longtang and Menglong) in the southern part of the Tengchong terrane, which is in the northern part of the larger Sibumasu terrane. We assess the origin of the granites and explore their possible genetic relationship to the Paleo‐Tethyan regime. LA‐ICP‐MS zircon U‐Pb dating shows that they were simultaneously emplaced in the Early Jurassic (ca. 199 Ma). They have SiO2 contents of 69.7–75.1 wt% and are mainly strongly peraluminous with alumina saturation index (ASI) values ranging from 1.06 to 1.46. They show similar Mg# (0.29–0.42) to experimental partial melts of metasedimentary rocks under continental pressure‐temperature (P‐T) conditions. They are enriched in light rare earth elements (LREEs) relative to heavy rare earth elements (HREEs), with moderately negative Eu anomalies and flat HREEs patterns. They show negative εNd(t) values (–9.0 to –12.4) and εHf(t) values (–8.0 to –9.1). Elemental and isotopic data suggest that they most likely to formed by muscovite‐dehydration melting of a metapelitic source at lower temperatures in the range of 700°C to 750°C. The granites might represent a post‐collisional tectonic setting response to Paleo‐Tethyan regime.
Improved cognitive impairments by silencing DMP1 via enhancing the proliferation of neural progenitor cell in Alzheimer‐like mice
Authors: Zhao Huimin , Wei Jie , Du Yanan , Chen Peipei , Liu Xiaoquan , Liu Haochen ,   for the Alzheimer’s Disease Neuroimaging Initiative
Published: April 2022

AbstractAlzheimer's disease (AD) is age‐related progressive neurological dysfunction. Limited clinical benefits for current treatments indicate an urgent need for novel therapeutic strategies. Previous transcriptomic analysis showed that DMP1 expression level was increased in AD model animals whereas it can induce cell‐cycle arrest in several cell lines. However, whether the cell‐cycle arrest of neural progenitor cell induced by DMP1 affects cognitive function in Alzheimer‐like mice still remains unknown. The objective of our study is to explore the issue. We found that DMP1 is correlated with cognitive function based on the clinical genomic analysis of ADNI database. The negative role of DMP1 on neural progenitor cell (NPC) proliferation was revealed by silencing and overexpressing DMP1 in vitro. Furthermore, silencing DMP1 could increase the number of NPCs and improve cognitive function in Alzheimer‐like mice, through decreasing P53 and P21 levels, which suggested that DMP1‐induced cell‐cycle arrest could influence cognitive function.
Mapping the future for research in emergency medicine palliative care: A research roadmap
Authors: Aaronson Emily L. , Wright Rebecca J. , Ritchie Christine S. , Grudzen Corita R. , Ankuda Claire K. , Bowman Jason K. , Kuntz Joanne G. , Ouchi Kei , George Naomi , Jubanyik Karen , Bright Leah E. , Bickel Kathleen , Isaacs Eric , Petrillo Laura A. , Carpenter Christopher , Goett Rebecca , LaPointe Lauren , Owens Darrell , Manfredi Rita , Quest Tammie 
Published: April 2022

AbstractBackgroundThe intersection of emergency medicine (EM) and palliative care (PC) has been recognized as an essential area of focus, with evidence suggesting that increased integration improves outcomes. This has resulted in increased research in EM PC. No current framework exists to help guide investigation and innovation.ObjectiveThe objective was to convene a working group to develop a roadmap that would help provide focus and prioritization for future research.MethodsParticipants were identified based on clinical, operation, policy, and research expertise in both EM and PC and spanned physician, nursing, social work, and patient perspectives. The research roadmap setting process consisted of three distinct phases that were time staggered over 12 months and facilitated through three live video convenings, asynchronous input via an online document, and a series of smaller video convenings of work groups focused on specific topics.ResultsGaps in the literature were identified and informed the four key areas for future research. Consensus was reached on these domains and the associated research questions in each domain to help guide future study. The key domains included work focused on the value imperative for PC in the emergency setting, models of care delivery, disparities, and measurement of impact and efficacy. Additionally, the group identified key methodological considerations for doing work at the intersection of EM and PC.ConclusionsThere are several key domains and associated questions that can help guide future research in ED PC. Focus on these areas, and answering these questions, offers the potential to improve the emergency care of patients with PC needs.
Weight gain in infancy and markers of cardiometabolic health in young adulthood
Authors: Nummela Saga Rebecca , Salo Pia , Pahkala Katja , Raitakari Olli T. , Viikari Jorma , Rönnemaa Tapani , Jula Antti , Rovio Suvi P. , Niinikoski Harri 
Published: April 2022

AbstractAimWe studied whether repeatedly measured weight gain from birth up to age 2 years associated with cardiometabolic health in young adulthood.MethodsUsing the data collected in the longitudinal Special Turku Coronary Risk Factor Intervention Project, we investigated in 454 healthy subjects how early weight gain in six age intervals (birth to 7 months, 7–13 months, 13–18 months, 18–24 months, and birth to 13 and 24 months) associated with measures of cardiometabolic health at age 20 years. Linear regression analyses were controlled for (1) child's sex, intervention/control group, gestational age, baseline weight and change in length for each interval, and (2) parents’ education, mother's weight before pregnancy, height and weight gain during pregnancy, and father's body mass index at the 7‐month visit.ResultsWeight gain after the first year of life associated directly, when adjusted for traits of the child and parents, with systolic blood pressure, waist circumference and body mass index at age 20 years. In the fully adjusted analyses, weight gain from birth to 1 year and to 2 years of age associated inversely with insulin and insulin resistance. We found no association between early growth and diastolic blood pressure or serum lipids.ConclusionEarly weight gain during first 2 years of life may predict later markers of cardiometabolic health.
Associations between prepregnancy body mass index, gestational weight gain, and pregnancy outcomes in women with twin pregnancies: A five‐year prospective study
Authors: Zhao Xiaomin , Lan Yehui , Shao Hailing , Peng Lingli , Chen Ruyang , Yu Huijun , Hua Ying 
Published: April 2022

AbstractBackgroundThe purpose of this project was to investigate the relationship between prepregnancy body mass index (ppBMI), gestational weight gain (GWG), and pregnancy outcomes in women with twin pregnancies.MethodsA prospective cohort of 369 women with dichorionic diamniotic twin pregnancies was recruited from 2016 to 2020. According to ppBMI using Chinese BMI classifications, they were categorized into the underweight (BMI < 18.5 kg/m2), normal (BMI 18.5–23.9 kg/m2), and overweight and obese (BMI ≥ 24 kg/m2) groups. In each ppBMI group, they were divided into two subgroups based on the presence or absence of the complications such as gestational diabetes mellitus (GDM), hypertensive disorders of pregnancy (HDP), and small for gestational age (SGA). The outcomes including GDM, HDP, and SGA were compared among three ppBMI groups, and the associations of GWG with these outcomes within each ppBMI category were analyzed.ResultsTwin‐pregnant women with overweight and obesity were at increased risks of HDP (aOR = 4.417 [95% CI = 1.826–9.415]) and SGA (2.288 [1.102–4.751]), whereas underweight women were prone to deliver SGA newborns (2.466 [1.157–5.254]). Women with GDM gained less weight during pregnancy than those without GDM within each ppBMI category. For overweight and obese women, greater GWG increased the incidence of HDP (1.235 [1.016–1.500]) and decreased the risk of SGA (0.818 [0.702–0.953]).ConclusionsBoth ppBMI and GWG in twin‐pregnant women were strongly associated with HDP and SGA, but not GDM.