bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of influencers and social comparison in shaping travel intentions
Authors: Wahba Sarah , El-Deeb Sara , Metry Sandra 
Published: September 2024

PurposeThis study draws on social influence and social comparison theories to investigate the effect of social media influencers on intention to visit with the mediating role of upward social comparison. It studies the reasons underlying people's intention to visit a destination from an emotional perspective.Design/methodology/approachPLS-SEM models were applied to a total of 527 responses.FindingsThis study provides empirical evidence supporting the Source Credibility Model's elements within the context of influencer marketing and travel intentions. Furthermore, it expands the current knowledge of upward social comparison emotions by reporting that upward contrastive emotions would partially mediate the relationship between expertise and intention to visit, and that upward assimilative emotions would fully mediate the relationship between attractiveness and intention to visit while partially mediating the relationship between trustworthiness and expertise and intention to visit.Practical implicationsThe article adds new insights to tourism marketing as well as helps both destination marketers and travel influencers. For marketers, it is advised to collaborate with credible influencers known for expertise and trustworthiness, leveraging their perspectives to rebuild travel confidence and reassure tourists about safety measures. Travel influencers are recommended to convey their intrinsic passion and enthusiasm through their posts to create an inspiring connection with the audiences.Originality/valueThis paper is the first to address the relationship between travel influencers and intention to visit with the mediation role of both positive and negative emotions.
Linking manufacturing firms with environment: role of green manufacturing and environmental management on firm’s environmental performance with moderating effect of external environmental regulations
Authors: Nazir Samera , Mehmood Saqib , Nazir Zarish , Zhaolei Li 
Published: September 2024

PurposeThe purpose of this study is to examine the vital link between manufacturing firms and the environment, delving into the intricate connections among factors affecting these firms. Specifically, it investigates how the environmental performance of manufacturing firms is shaped by their adoption of environmental management practices and the regulatory environment in which they operate.Design/methodology/approachData are currently being collected through a structured questionnaire from employees working in manufacturing firms in Pakistan. Random sampling was used to select the participants. The hypotheses were tested using PLS-SEM analysis.FindingsThe study reveals a positive correlation between green manufacturing practices and superior environmental performance. Effective environmental management systems further help firms reduce their environmental footprint. External environmental regulations play a significant role as moderators, influencing the strength and direction of the relationship between green manufacturing, environmental management and environmental performance.Practical implicationsThe practical implications offer valuable insights and guidance for manufacturing companies seeking to improve their environmental responsibility and performance. Additionally, policymakers gain insights into how regulatory frameworks can be designed or modified to better support sustainability efforts within the manufacturing sector.Originality/valueThis study offers timely insights for sustainable business practices, aligning with corporate responsibility efforts. It contributes to both academic knowledge and provides actionable guidance for fostering environmentally responsible practices in the manufacturing sector.
Uses of black pigmented CAS glass in conventional ceramic industry: production, impediments to metallization, and startling approaches for color evaluation in ceramic tech-artistry
Authors: Acharjee Nandalal , Ganguly Subhas , Biswas Prasenjit , Sarangi Bidyapati 
Published: September 2024

Purpose
The purpose of this study is to develop black pigmented ceramic stoneware bodies that integrate various aspects of material composition and color potential. Recent research has explored black pigmented calcium aluminosilicate glass (BPCG), a specialized material known for its unique properties, which holds promise for transforming the color capabilities of traditional ceramics.

Design/methodology/approach
In this investigation, initially composite ceramic sample (B-1) was prepared by milling process prior to sieve analysis to attain the particle size within 44 microns. Microanalysis and morphology and thermography were studied by energy-dispersive X-ray spectroscopy, scanning electron microscope and thermogravimetric analysis and found Sample-B-1 received attractive properties like firing shrinkage, porosity, bulk density and firing strength along with good pyro-plastic properties at various temperatures like 950°C, 1050°C, 1000°C and 1180°C. Furthermore, BPCG-assisted pigmented ceramic composites were synthesized with B-1 matrix. CIE lab investigation of the attributed composites (C-series) within selective soaking range of 5–20 min was performed, and the investigation found that prominent black hue appeared (L: 24.09, a*: −0.17, b*: −0.49) for C-10 containing appeared phases of Di-Co-Silicide (26%), Ni-Chromite, Stilpnomelane (rich in iron) as obtained by X-ray diffraction studies.

Findings
Ceramic material played a significant role in the realms of art and craft, as well as in technology. The artistic facet reveals concepts or ornamentation, while the craft echoes both traditional and functional appeal. Technology, on the other hand, involves the logical implementation behind the creation.

Originality/value
This C-10 Sample comprised the lower percentage of mullite which attributed that the BPCG homogeneously mixed in the matrix of base (B-1) and appeared as spinal staff. Therefore, BPCG was a potential candidate for ceramic metallization, and this traditional metallization processes often faced some challenges like uniformity and mixing in the ceramic composite domain practices. This study aimed to open up new avenues for artistic decoration and bridging the gap between traditional craftsmanship and modern technology. Furthermore, BPCG’s role in color assessment through shocking techniques added an exciting concept for the ceramic practitioners, designers or ceramic educators.
Distributed fault estimation of nonlinear dynamical systems over sensor networks: a non-fragile approach
Authors: Tian Shihui , Xu Ke 
Published: September 2024

Purpose
The purpose of this paper is to investigate the fault estimation issue of nonlinear dynamical systems via distributed sensor networks. Furthermore, based on the communication topology of sensor networks, the nonfragile design strategy considering the gain fluctuation is also adopted for distributed fault estimators.

Design/methodology/approach
By means of intensive dynamical model transformation, sufficient conditions with disturbance attenuation performance are established to design desired fault estimator gains with the help of convex optimization.

Findings
A novel distributed fault estimation framework for a class of nonlinear dynamical systems is established over a set of distributed sensor networks, where sampled data of sensor nodes via local information exchanges can be used for more efficiency.

Originality/value
The proposed distributed fault estimator gain fluctuations are taken into account for the nonfragile strategy, such that the distributed fault estimators are more applicable for practical sensor networks implementations. In addition, an illustrative example with simulation results are provided to validate the effectiveness and applicableness of the developed distributed fault estimation technique.
Spot pattern welding scanning strategy for sensor embedding and residual stress reduction in laser-foil-printing additive manufacturing
Authors: Turk Tunay , Dominguez Cesar E. , Sutton Austin T. , Bernardin John D. , Park Jonghyun , Leu Ming C. 
Published: September 2024

Purpose
This paper aims to present spot pattern welding (SPW) as a scanning strategy for laser-foil-printing (LFP) additive manufacturing (AM) in place of the previously used continuous pattern welding (CPW) (line-raster scanning). The SPW strategy involves generating a sequence of overlapping spot welds on the metal foil, allowing the laser to form dense and uniform weld beads. This in turn reduces thermal gradients, promotes material consolidation and helps mitigate process-related risks such as thermal cracking, porosity, keyholing and Marangoni effects.

Design/methodology/approach
304L stainless steel (SS) feedstock is used to fabricate test specimens using the LFP system. Imaging techniques are used to examine the melt pool dimensions and layer bonding. In addition, the parts are evaluated for residual stresses, mechanical strength and grain size.

Findings
Compared to CPW, SPW provides a more reliable heating/cooling relationship that is less dependent on part geometry. The overlapping spot welds distribute heat more evenly, minimizing the risk of elevated temperatures during the AM process. In addition, the resulting dense and uniform weld beads contribute to lower residual stresses in the printed part.

Originality/value
To the best of the authors’ knowledge, this is the first study to thoroughly investigate SPW as a scanning strategy using the LFP process. In general, SPW presents a promising strategy for securing embedded sensors into LFP parts while minimizing residual stresses.
Investigating the barriers and strategies for establishing desalination plants to mitigate water scarcity in Sri Lankan dry zones
Authors: Yatawatta Yatawattage Jayanie Malkila , Sridarran Pournima 
Published: September 2024

Purpose
In response to water scarcity in Sri Lanka, the government is implementing strategies such as rainwater harvesting, efficient irrigation, wastewater treatment and desalination. Initial efforts include the establishment of a desalination plant in Jaffna, with additional plans for the dry zones (DZ). The study aims to comprehensively identify the barriers to establishing desalination plants in the DZ and provide recommendations to mitigate these barriers. Additionally, this research provides valuable insights aimed at minimizing barriers to the construction of future desalination plants within Sri Lanka.

Design/methodology/approach
The study used qualitative methods, using an expert survey to identify current and future barriers, along with strategies for overcoming them. The collected data were analysed using the template analysis technique.

Findings
Regarding desalination plant establishment, various barriers such as high capital costs, high energy expenses, brine discharge, pollution, emissions, technical challenges, health concerns and waste disposal have been identified. However, specific strategies exist to address and mitigate each of these obstacles.

Practical implications
The study offers recommendations to environmental experts and government on expediting the approval procedures for desalination plants in Sri Lanka’s DZ. Adapted to Sri Lanka’s specific challenges, it highlights strategies and barriers essential for upcoming desalination projects. Furthermore, it emphasizes the financial advantages such as increased production and job creation resulting from establishing desalination facilities.

Social implications
Through this study, promoting sustainable practices and fostering community involvement, it aims to enhance livelihoods, accelerate economic development and improve overall well-being through reliable access to water. Additionally, the study aims to enhance understanding of the importance of desalination in alleviating water scarcity, promoting community engagement and ultimately facilitating improved living conditions, health outcomes and economic opportunities in Sri Lanka’s DZs.

Originality/value
This study provides crucial direction for decision-makers by highlighting the main barriers to the establishment of desalination plants in Sri Lanka and outlining practical solutions. Implementing these strategies helps meet the region’s increasing water demands, advance sustainable water management, improve the standard of living for nearby communities and promote the socioeconomic development of desalination plants in Sri Lanka’s DZ.
Clinical and laboratory features between anti‐TIF1γ dermatomyositis with and without malignancy: 37 case series and a review
Authors: Tang Ke‐yun , Zhang Han‐lin , Zhang Xin‐yi , Jin Hong‐zhong 
Published: September 2024

AbstractWe aimed to analyze the clinical profile and malignancy indicators in dermatomyositis (DM) with anti‐transcriptional intermediary factor 1 antibody (anti‐TIF1γ‐Ab). A comparison was made between clinical information of anti‐TIF1γ DM patients with and without malignancy. Additionally, a review of the literature on anti‐TIF1γ DM and malignancy was conducted by searching PubMed and EMBASE databases. In our cohort of 37 patients, 27.0% (10/37) developed malignancy. The timeframe during which these 10 patients developed malignancy ranged from 21 months prior to the diagnosis of DM to 36 months following the diagnosis of DM. Specifically, one patient was diagnosed with breast cancer at the age of 36. Comparing the groups with and without malignancy, we found that age over 65 years (40% vs 7.4%, P = 0.035), a shorter duration from the onset of symptoms to the diagnosis of DM (2.5 vs 10 months, P = 0.003), and higher erythrocyte sedimentation rate (ESR) levels (23 vs 10 mm/h, P = 0.048) were found to be associated with an increased risk of malignancy. Conversely, the presence of Gottron's papules (63% vs 20%, P = 0.029) may suggest a lower likelihood of malignancy. The literature review revealed that the prevalence of myositis‐associated malignancy was 40.7% (340/836), with variations ranging from 19% to 82.9% across different series. In summary, factors such as age over 65 years, a shorter duration between symptom onset and diagnosis of DM, and elevated ESR levels may indicate an increased risk of malignancy in anti‐TIF1γ DM patients.
Contribution of machine learning for subspecies identification from Mycobacterium abscessus with MALDI‐TOF MS in solid and liquid media
Authors: Godmer Alexandre , Bigey Lise , Giai‐Gianetto Quentin , Pierrat Gautier , Mohammad Noshine , Mougari Faiza , Piarroux Renaud , Veziris Nicolas , Aubry Alexandra 
Published: September 2024

AbstractMycobacterium abscessus (MABS) displays differential subspecies susceptibility to macrolides. Thus, identifying MABS's subspecies (M. abscessus, M. bolletii and M. massiliense) is a clinical necessity for guiding treatment decisions. We aimed to assess the potential of Machine Learning (ML)‐based classifiers coupled to Matrix‐Assisted Laser Desorption/Ionization Time‐of‐Flight (MALDI‐TOF) MS to identify MABS subspecies. Two spectral databases were created by using 40 confirmed MABS strains. Spectra were obtained by using MALDI‐TOF MS from strains cultivated on solid (Columbia Blood Agar, CBA) or liquid (MGIT®) media for 1 to 13 days. Each database was divided into a dataset for ML‐based pipeline development and a dataset to assess the performance. An in‐house programme was developed to identify discriminant peaks specific to each subspecies. The peak‐based approach successfully distinguished M. massiliense from the other subspecies for strains grown on CBA. The ML approach achieved 100% accuracy for subspecies identification on CBA, falling to 77.5% on MGIT®. This study validates the usefulness of ML, in particular the Random Forest algorithm, to discriminate MABS subspecies by MALDI‐TOF MS. However, identification in MGIT®, a medium largely used in mycobacteriology laboratories, is not yet reliable and should be a development priority.
Psychosocial predictors of return to alcohol use after liver transplant: A multicenter cohort study
Authors: Torosian Kelly , Shahrvini Bita , Johnson Willie Mohammed , Vodkin Irine , Tincopa Monica , Lim Nicholas , Kwong Allison , Ajmera Veeral 
Published: September 2024

AbstractBackgroundAlcohol use after liver transplant (LT) is associated with higher rates of graft loss and increased mortality; however, there are limited data evaluating predictors of return to alcohol use using biochemical markers like phosphatidylethanol (PEth).MethodsThis multicenter retrospective cohort study evaluated psychosocial predictors of return to alcohol use using PEth testing in patients transplanted for alcohol‐associated liver disease (ALD). The study included 223 patients at three centers who had received a LT for ALD and had at least one PEth measurement post‐LT.ResultsThe rate of return to alcohol use was 6.9 cases per 100 person‐years (26 patients total) over a median 555 days of follow‐up after transplant. Younger age (HR 0.96; 95% CI 0.92–0.99, p = 0.02), mental health comorbidities (HR 2.83; 95% CI 1.25–6.39, p = 0.01), and non‐Hispanic White race (HR 3.79; 95% CI 1.42–10.15, p = 0.01) were associated with return to alcohol use post‐LT. There was no difference between post‐LT return to alcohol use rates or short‐term survival among patients with less than 6 months of sobriety prior to listing compared with those with more than 6 months. Patients with sustained alcohol use post‐LT had increased odds of history of illicit substance use (OR 5.20; 95% CI 1.01–26.83, p = 0.04) but no significant difference in time from the last drink to listing (OR 1.03; 95% CI 0.18–5.80, p = 0.97).ConclusionsThese findings emphasize the importance of mental health comorbidities rather than period of sobriety in predicting post‐LT return to alcohol use. Furthermore, the higher risk of return to alcohol use in non‐Hispanic White patients suggests a potential disparity with referral and selection of higher risk White patients.
Risk factors and recurrence of hyperemesis gravidarum: A population‐based record linkage cohort study
Authors: Pont Sarah , Bond Diana M. , Shand Antonia W. , Khan Iqra , Zoega Helga , Nassar Natasha 
Published: September 2024

AbstractIntroductionThere are limited contemporary population‐based studies on the risk factors for hyperemesis gravidarum (HG), a severe type of nausea and vomiting in pregnancy. This study aimed to determine the prevalence and trend of HG over time, identify risk factors for any and multiple HG health service visits during pregnancy, and investigate HG recurrence across pregnancies.Material and MethodsThis population‐based record linkage cohort study featured births in New South Wales, Australia from 2010 to 2019. Hospital and emergency data collections were used to identify health service visits for HG using relevant diagnosis codes and were linked to the corresponding pregnancy on the birth data set. Outcomes included any HG and multiple HG visits during pregnancy, and HG recurrence across pregnancies. Annual HG prevalence was calculated, and negative binomial regression was used to examine standardized prevalence trends. Risk factors for any HG and multiple HG visits within a pregnancy were examined using Robust Poisson models with generalized estimating equations and Prentice–Williams–Peterson Gap Time models, respectively. Rates and risk of recurrence were calculated for women with a second and third pregnancy.ResultsOf the 955 107 pregnancies, 21 702 (2.3%) were classified as HG. There was an average annual increase of 6.8% (95% CI 5.3–8.3) in HG prevalence. Younger maternal age, multiple pregnancies, and selected preexisting conditions were associated with an increased risk of HG, with the strongest factor being HG in any previous pregnancy (risk ratio 8.92, 99% CI 8.43–9.44). Hyperemesis gravidarum recurrence at the second (28.9%) and third (54.7%) pregnancies was high.ConclusionsHyperemesis gravidarum history is the strongest risk factor for HG, which has implications for counseling and care that women receive around pregnancy.
Positive and negative touch differentially modulate metacognitive memory judgements for emotional stimuli
Authors: Convertino Gianmarco , Talbot Jessica , Stockner Mara , Gatti Daniele , Marchetti Michela , Mitaritonna Danilo , Mazzoni Giuliana 
Published: September 2024

AbstractTouch plays a crucial role in providing humans with information from the external environment and can be perceived by humans as positively or negatively valenced. It is well documented that touch can differentially influence social functions, but very little is known about how touch can modulate (meta)cognition. Utilizing a within‐subject design, participants were exposed to (a) positive, (b) negative, and (c) no touch, alongside encoding of emotionally valenced (positive and negative) images. After a 20‐minute delay, participants completed a Yes/No recognition task to investigate how touch influenced memory‐related decision components (e.g. criterion, confidence). Results showed that, compared to the control condition, both positive and negative touch were associated with overall lower confidence ratings, a less liberal response bias and slower response times. Interestingly, for correct recognitions, only negative touch (vs. no touch) led to inappropriately lower confidence and slower response times while both confidence and response time remained unaltered in positive touch. Our findings provide the first evidence that positive and negative touch differentially interact with metacognitive memory‐related decisions. Altered metacognitive judgements after being touched could have significant consequences in applied settings, such as situations of eyewitness testimony.
Identification of TPI1 As a potential therapeutic target in pancreatic cancer with dependency of TP53 mutation using multi‐omics analysis
Authors: Toyoda Tomoaki , Miura Nami , Kato Shingo , Masuda Takeshi , Ohashi Ryuji , Matsushita Akira , Matsuda Fumio , Ohtsuki Sumio , Katakura Akira , Honda Kazufumi 
Published: September 2024

AbstractMutations of KRAS, CDKN2A, TP53, and SMAD4 are the four major driver genes for pancreatic ductal adenocarcinoma (PDAC), of which mutations of KRAS and TP53 are the most frequently recognized. However, molecular‐targeted therapies for mutations of KRAS and TP53 have not yet been developed. To identify novel molecular targets, we newly established organoids with the Kras mutation (KrasmuOR) and Trp53 loss of function using Cre transduction and CRISPR/Cas9 (Krasmu/p53muOR) from murine epithelia of the pancreatic duct in KrasLSL‐G12D mice, and then analyzed the proteomic and metabolomic profiles in both organoids by mass spectrometry. Hyperfunction of the glycolysis pathway was recognized in Krasmu/p53muOR compared with KrasmuOR. Loss of function of triosephosphate isomerase (TPI1), which is involved in glycolysis, induced a reduction of cell proliferation in human PDAC cell lines with the TP53 mutation, but not in PDAC or in human fibroblasts without TP53 mutation. The TP53 mutation is clinically recognized in 70% of patients with PDAC. In the present study, protein expression of TPI1 and nuclear accumulation of p53 were recognized in the same patients with PDAC. TPI1 is a potential candidate therapeutic target for PDAC with the TP53 mutation.