bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perceived nutrition literacy on ultra-processed food and food labelling among adolescents and adults – a result from community service activity
Authors: Faza Farah , Hardiyanti Marina , Witaningrum Riani , Pranoto Yosephin Anandati , Hastuti Janatin 
Published: October 2024

Purpose
Awareness and literacy regarding nutritional facts, as well as behaviour in reading front-of-pack labelling, are still lacking in Indonesia. This study aims to increase awareness and knowledge towards food labelling and ultra-processed food (UPF) in the community.

Design/methodology/approach
This was a community service activity involving 33 adults aged 14–45 years. The activity was conducted through a sequence of pre-test, nutrition education focusing on food labelling (first session) and UPF (second session), and post-test. A set of 15 questions consisting of 13 multiple-choices and 2 exploratory questions was used to collect information from respondents. Data was analysed using a paired t-test, whereas qualitative data was analysed using a thematic approach.

Findings
After receiving the two sessions of education, participants’ knowledge increased 11.55 points (pre-test vs post-test mean ± SE 76.90 ± 0.28 vs 88.45 ± 0.19; p < 0.001). The top five UPF products frequently consumed by participants were snacks (both sweets and savoury), instant noodles, canned food, beverages, mainly sugar-sweetened beverages (SSB) and bread and frozen foods. From the participants’ perspective, instead of prohibiting UPF advertisement, conducting food and nutrition sustainable education is more important to control UPF intake.

Research limitations/implications
This study has both strengths and limitations. The findings of this activity represent the real evidence of food and nutrition-related phenomena in the community. Equally important, nutrition education topics were comprehensive and based on recent evidence. Nevertheless, as a community service activity, the findings were more straightforward and did not involve as many participants. Additionally, the post-education assessment took place immediately after the session, but there was no follow-up evaluation to determine whether participants retained the knowledge or had changed their behaviours.

Practical implications
Therefore, advanced research is highly encouraged to explore the impact of UPF advertising on food choice preferences and consumption. Additionally, there is also a need to develop an ideal nutrition education kit that focuses on reading food labels and understanding UPF. Evaluating social-behavioural changes related to UPF following a comprehensive nutrition training programme is another crucial issue for research. Furthermore, assessing the initiation and implications of implementing SSB taxes in Indonesia is essential for understanding their potential effects.

Originality/value
Nutrition education significantly enhances adults’ knowledge of food labelling and UPF. Instead of banning UPF marketing, most participants favoured a sustainable approach involving continuous education to reduce UPF consumption.
Cybersecurity behaviours of the employees and students at the Estonian Academy of Security Sciences
Authors: Kont Kate-Riin 
Published: October 2024

PurposeThe purpose of this study is to identify the most common characteristics that make Internet users at the Estonian Academy of Security Sciences (SKA) vulnerable to various threats. This includes password management habits, online banking, shopping and payment behaviours, time spent online, use of public Wi-Fi, gaming and watching movies online. Additionally, the study seeks to review the dangers users encounter and how cautious they are, such as which online activities they consider the most dangerous and which they perceive as safe.Design/methodology/approachThe data used in this paper is based on an overview of relevant literature, highlighting previous studies and methodologies and explaining why the human factor is considered the weakest link in cybersecurity. This research aims to help characterise the patrons of the SKA and make suggestions for future training and research. For this purpose, the students, administrative employees and academic staff of the SKA were investigated. A five-point scale questionnaire with 54 questions was used as the methodology of the study, considering the following four scales: risky behaviour, conservative behaviour, risk exposure behaviour and risk perception behaviour. The results are interpreted based on the literature, and data obtained from the completed questionnaires were analysed using Excel’s Data Analysis ToolPak. The results are presented mostly as tables and bar charts.FindingsThe research results show that the cybersecurity behaviour of employees and students is generally at a good level. However, some aspects of conservative behaviour need increased attention, such as the use of USB and other external media, opening links in emails too readily, monitoring the authenticity of visited websites and deleting browsing history before logging out. Cyber training has a noticeable effect on behaviour, particularly in the context of password management.Originality/valueNo previous research on cyber behaviour has been conducted in the context of Estonian higher education, despite the increasing number of cyber-attacks in this sector.
A review on layerless 3D printing: challenges and applications
Authors: Moayedi Siavash , Zamani Jamal , Salehi Mohammad 
Published: October 2024

Purpose
This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Design/methodology/approach
Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

Findings
As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

Originality/value
The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.
Nexus between intellectual capital and innovation performance: the mediating role of firm’s attractiveness and knowledge sharing
Authors: Kumar Jitender , Rani Vinki , Rani Manju , Rani Garima 
Published: October 2024

Purpose
Intellectual capital has recently gained significant attention for achieving a competitive advantage for firms. Accordingly, this study aims to examines the impact of intellectual capital on small and medium enterprises (SMEs) innovation performance. Additionally, it also examines the mediating role of firm’s attractiveness (FATR) and knowledge sharing (KS) in small enterprises of India’s National Capital Region (NCR).

Design/methodology/approach
Data was gathered from 395 owners and managers of the NCR region through a self-administered survey questionnaire. The author applied a “variance-based structural equation modeling” to examine the outcomes.

Findings
The outcomes exhibited that relational capital (RC) significantly influences the FATR, while human capital (HC) and structural capital (SC) insignificantly influences the FATR. Furthermore, HC, RC and SC substantially influence KS. Interestingly, the outcomes also reveal that a FATR and KS substantially influence innovation performance.

Research limitations/implications
This research provides valuable opportunities to expand the study of intellectual capital and innovation performance in SMEs across different countries, paving the way for future comparative analyses in diverse international contexts.

Practical implications
The results assist policymakers and practitioners in assessing an organization’s ability to transform data into intellectual capital within the context of “Industrial Revolution 4.0” to strengthen its sustainability and innovation performance.

Originality/value
The current paper delivers a more affluent and novel understanding of Indian SMEs by examining the interplay between intellectual capital and innovation performance mediating by a FATR and KS behavior. Furthermore, the proposed model has not been previously addressed in the academic literature, which signifies advancement in scientific knowledge.
Staff shortages in hospitality and tourism industries: how technology influences?
Authors: Birdir Kemal , Sahilli Birdir Sevda 
Published: October 2024

PurposeThis paper offers an introduction and sets the stage for the theme issue. It describes the methodology used and highlights the articles that address the strategic question of how hospitality and tourism industries can minimize the effects of labor shortages by embracing advanced technologies.Design/methodology/approachThis special issue explores the potential of automation, artificial intelligence, robotics and advanced data analytics in mitigating staff shortages. Automation streamlines operations, AI enhances customer interactions, robotics reimagines service delivery and data analytics informs strategic decisions. The study addresses a strategic question by combining literature reviews, data analysis, expert insights from practitioners and practical solution recommendations.FindingsThe theme issue presents research that explores how advanced technologies can be effectively utilized to mitigate labor shortages in the hospitality and tourism industries. Automation streamlines operations, AI enhances customer interactions, robotics reimagines service delivery and data analytics informs strategic decisions. However, successful integration of technology requires careful planning, training and ongoing maintenance to ensure a balance between technology and human interaction. By embracing these technologies, businesses can better cope with staffing deficits and position themselves for long-term success in a rapidly evolving environment.Originality/valueThis special issue explores the ways in which advanced technologies, such as automation, AI and robotics, can be leveraged to alleviate the labor shortage crisis faced by the hospitality and tourism industries worldwide. From developed to developing countries, these industries are grappling with severe labor shortages, particularly in terms of skilled workers. The articles presented in this issue offer valuable insights and strategies for addressing this pressing issue.
Detecting and evaluating surface defects in additive manufacturing composite materials via image processing technique
Authors: Nawafleh Nashat , AL-Oqla Faris M. 
Published: October 2024

Purpose
This study aims to offer an image-based robust edge detection system that can estimate, identify, locate and label surface flaws during manufacturing for real-time surface issue diagnostics. Of great concern, this methodology extrapolates surface defect information from scanning electron microscopy (SEM) images of composite fracture surfaces. This study predicts changes in topological intensity of composite fracture surfaces and display them as real-time surface intensity values for the first time.

Design/methodology/approach
This work, however, introduces a novel robust edge detection method – based image processing – as it is shown to be effective in locating defects, as measured by SEM images of composite fracture surfaces created using additive manufacturing (AM). SEM images, obtained in this study, are related to previous study considering the fracture surfaces of reinforced thermoset composites created via the AM method. These SEM images are of two types: fracture surface of AM of carbon fiber reinforced thermoset composites and fracture surface of AM of syntactic foam reinforced thermoset composites. Initially, MATLAB environment is used for analyzing the SEM images; the technique used, as well as the validity are explained more in the methodology section.

Findings
The robust surface defect inspection approach used herein is found to be capable of predicting, identifying, localizing and labeling surface defects during production, allowing for real-time surface issue diagnosis. Further, this work makes it possible to use image processing and analysis of these surfaces to anticipate fluctuations in the topological intensity of the fracture surfaces of composites and represent them as values of surface intensity in real time.

Originality/value
Rising worldwide company rivalry requires a fast, accurate component failure diagnostic method. To create an efficient feature set, a surface defect inspection system must identify product flaws in real time. Thus, this study proposed an image-based robust edge detection system – based on MATLAB environment – that is capable of estimating, identifying, locating and labeling surface faults during production. This paves the way for an extensive set of high-quality tools for dealing with a wide range of problems associated with digital image processing in composites. As a result, the ability to define methodologies and rapidly prototype prospective solutions typically minimizes the cost and time required to implement a successful system during the design phase of an image processing system.
Gross saponins of Tribulus terrestris attenuate rheumatoid arthritis by promoting apoptosis of fibroblast‐like synoviocytes and reducing inflammation by inhibiting MAPK signalling pathway
Authors: Cheng Xinghai , Su Yuantao , Dong Ningzheng , Liu Meng , Wang Mengting , Zhou Tiantian , Zhou Haibin 
Published: October 2024

AbstractAmong the numerous treatment options for rheumatoid arthritis (RA), the promotion of synoviocyte apoptosis and inhibition of inflammation are considered the most effective. However, the potential pro‐apoptotic effects of gross saponins of Tribulus terrestris (GSTT), which are natural saponins derived from the herb Tribulus terrestris L., on rheumatoid arthritis fibroblast‐like synoviocytes (RA‐FLSs) and their essential molecular mechanisms remain unclear. The aim of the present study was to investigate the influence of different concentrations of GSTT on RA‐FLSs using various assays, including cell counting kit‐8 (CCK‐8), reverse transcription polymerase chain reaction (RT‐PCR), enzyme‐linked immunosorbent assay (ELISA), flow cytometry, terminal deoxynucleotidyl transferase dUTP nick end labelling (TUNEL) and western blot analysis. These assessments were conducted to evaluate the cell viability, changes in the levels of inflammatory cytokines, apoptosis rates and alterations in protein expression related to this process. In vivo, arthritis clinical score, haematoxylin and eosin (HE) staining and ELISA were used to assess paw inflammation, histopathology and serum inflammatory cytokine changes. Our findings demonstrated that GSTT substantially promotes the apoptosis of RA‐FLSs and reduces pro‐inflammatory cytokine levels. GSTT also reduced the Bcl‐2/Bax ratio and inhibited JNK and p38 phosphorylation. Furthermore, GSTT exhibits positive effects on RA by improving clinical scores, reducing synovial inflammatory infiltration and lowering serum pro‐inflammatory cytokine levels. Therefore, by promoting the apoptosis of RA‐FLSs and suppressing inflammation through the inhibition of the MAPK signalling pathway, GSTT is a promising therapeutic intervention for RA.
First‐Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta‐Analysis
Authors: van Eekhout Jacintha C. A. , Becking Ellis C. , Scheffer Peter G. , Koutsoliakos Ioannis , Bax Caroline J. , Henneman Lidewij , Bekker Mireille N. , Schuit Ewoud 
Published: October 2024

AbstractBackgroundEarly risk stratification can facilitate timely interventions for adverse pregnancy outcomes, including preeclampsia (PE), small‐for‐gestational‐age neonates (SGA), spontaneous preterm birth (sPTB) and gestational diabetes mellitus (GDM).ObjectivesTo perform a systematic review and meta‐analysis of first‐trimester prediction models for adverse pregnancy outcomes.Search StrategyThe PubMed database was searched until 6 June 2024.Selection CriteriaFirst‐trimester prediction models based on maternal characteristics were included. Articles reporting on prediction models that comprised biochemical or ultrasound markers were excluded.Data Collection and AnalysisTwo authors identified articles, extracted data and assessed risk of bias and applicability using PROBAST.Main resultsA total of 77 articles were included, comprising 30 developed models for PE, 15 for SGA, 11 for sPTB and 35 for GDM. Discriminatory performance in terms of median area under the curve (AUC) of these models was 0.75 [IQR 0.69–0.78] for PE models, 0.62 [0.60–0.71] for SGA models of nulliparous women, 0.74 [0.72–0.74] for SGA models of multiparous women, 0.65 [0.61–0.67] for sPTB models of nulliparous women, 0.71 [0.68–0.74] for sPTB models of multiparous women and 0.71 [0.67–0.76] for GDM models. Internal validation was performed in 40/91 (43.9%) of the models. Model calibration was reported in 21/91 (23.1%) models. External validation was performed a total of 96 times in 45/91 (49.5%) of the models. High risk of bias was observed in 94.5% of the developed models and in 58.3% of the external validations.ConclusionsMultiple first‐trimester prediction models are available, but almost all suffer from high risk of bias, and internal and external validations were often not performed. Hence, methodological quality improvement and assessment of the clinical utility are needed.
Racing toward attaining sustainable development in India: Probing the asymmetric effect of country risk and coal energy
Authors: Wei Yanfeng , Ramzan Muhammad , Awosusi Abraham Ayobamiji , Uzun Berna , Khudoykulov Khurshid 
Published: October 2024

AbstractThe pursuit of a sustainable environment is a common goal for many nations; however, achieving this has become increasingly difficult due to country‐specific risks, often referred to as country risk. Despite its importance, the relationship between country risk and environmental outcomes is still in its early stages of exploration. This study aims to bridge this gap by examining the influence of country risk on India's ecological footprint within an asymmetric empirical framework, while accounting for economic growth and coal energy consumption. Utilizing the nonlinear autoregressive distributed lag (NARDL) estimator, the analysis covers data from 1984 to 2018. The findings reveal that positive changes in economic and financial risk contribute to environmental improvement by significantly reducing the ecological footprint, whereas negative changes in these risks lead to an increase in ecological footprint. Additionally, positive changes in political risk, economic growth, and coal energy usage exacerbate the ecological footprint, while reductions in coal energy use and political risk lead to environmental benefits. Based on these outcomes, policymakers are encouraged to establish a clear risk benchmark and reduce the ecological footprint by fostering economic growth in a sustainable manner. Governments should also prioritize strong support for green technology investments and ensure stability across political, economic, and financial sectors to promote long‐term environmental sustainability.
Adoption of agronomic practices and their impact on crop yield and income: An analysis for black gram and green gram in India
Authors: Varma Poornima , Manda Julius 
Published: October 2024

AbstractBlack gram and green gram are important pulse crops in India, but their production has faced fluctuations and stagnancy in yields over the last few decades. The Government of India has implemented several measures to enhance crop yield, including recommending and promoting the adoption of crop‐specific agronomic practices. However, there is limited empirical evidence on the determinants of the adoption of these practices and their impact on yield and income. In this context, this study analyses the determinants of the adoption of climate and plant management practices among black gram and green gram farmers and their impact on yield, crop revenue and net income across four major crop‐producing Indian states using a multinomial endogenous treatment effects model. Our analysis shows that information, contact with government extension services and access to off‐farm activities are crucial in adopting climate and plant management practices. The results strengthen the view that the adoption of knowledge‐intensive practices happens via formal information sources and plot‐level demonstrations. In addition, the results indicate that farmers who experience frequent crop loss exhibit an aversion towards adopting climate and plant management practices. While adopting these practices had a positive impact on crop yield and crop revenue, the impact on net income was observed only in the case of climate management.
Neuronal cathepsin S increases neuroinflammation and causes cognitive decline via CX3CL1‐CX3CR1 axis and JAK2‐STAT3 pathway in aging and Alzheimer's disease
Authors: Liu Pei‐Pei , Liu Xiao‐Hui , Ren Ming‐Jing , Liu Xiao‐Tong , Shi Xiao‐Qing , Li Ming‐Li , Li Shu‐Ang , Yang Yang , Wang Dian‐Dian , Wu Yue , Yin Fan‐Xiang , Guo Yan‐Hong , Yang Run‐Zhou , Cheng Meng , Xin Yong‐Juan , Kang Jian‐Sheng , Huang Bing , Ren Kai‐Di 
Published: October 2024

AbstractAging is an intricate process involving interactions among multiple factors, which is one of the main risks for chronic diseases, including Alzheimer's disease (AD). As a member of cysteine protease, cathepsin S (CTSS) has been implicated in inflammation across various diseases. Here, we investigated the role of neuronal CTSS in aging and AD started by examining CTSS expression in hippocampus neurons of aging mice and identified a significant increase, which was negatively correlated with recognition abilities. Concurrently, we observed an elevation of CTSS concentration in the serum of elderly people. Transcriptome and fluorescence‐activated cell sorting (FACS) results revealed that CTSS overexpression in neurons aggravated brain inflammatory milieu with microglia activation to M1 pro‐inflammatory phenotype, activation of chemokine C‐X3‐C‐motif ligand 1 (CX3CL1)—chemokine C‐X3‐C‐motif receptor 1 (CX3CR1) axis and janus kinase 2 (JAK2)—signal transducer and activator of transcription 3 (STAT3) pathway. As CX3CL1 is secreted by neurons and acts on the CX3CR1 in microglia, our results revealed for the first time the role of neuron CTSS in neuron–microglia “crosstalk.” Besides, we observed elevated CTSS expression in multiple brain regions of AD patients, including the hippocampus. Utilizing CTSS selective inhibitor, LY3000328, rescued AD‐related pathological features in APP/PS1 mice. We further noticed that neuronal CTSS overexpression increased cathepsin B (CTSB) activity, but decreased cathepsin L (CTSL) activity in microglia. Overall, we provide evidence that CTSS can be used as an aging biomarker and plays regulatory roles through modulating neuroinflammation and recognition in aging and AD process.