bluuebunny/crossref_metadata_2025_split huggingface dataset:
Exploring the Potential Synergy Between Disruptive Technology and Historical/Cultural Heritage in Thailand's Tourism Industry for Achieving Sustainable Development in the Future
Authors: Ma Chengxiang , Somrak Thawit , Manajit Suchita , Gao Chenglin 
Published: October 2024

ABSTRACTWhile disruptive technologies such as augmented reality (AR), virtual reality (VR), and mobile apps hold promise for enriching visitor experiences in heritage tourism, their integration necessitates a nuanced approach to ensure the sustainable development of the sector. This study addresses a critical gap in existing research by exploring this specific synergy within Thailand's unique tourism landscape. Through a comprehensive literature review, the study synthesizes existing knowledge on technology integration in heritage tourism, identifying both potential benefits (AR enhancing historical sites) and risks (overreliance on VR and social media's negative impacts). To bridge this gap and navigate these complexities, the research proposes a set of recommendations for a collaborative and sustainable approach. These recommendations prioritize community engagement, environmental consciousness, ongoing research, and collaborative governance. Additionally, they emphasize preserving the authenticity of heritage sites, ensuring technology serves as a tool for cultural preservation, not exploitation. By adopting these recommendations, stakeholders can leverage technology to create a thriving and sustainable heritage tourism sector in Thailand. This ensures both the safeguarding of the nation's rich cultural heritage for future generations and the creation of innovative and enriching experiences for visitors.
Unraveling Lake Geneva's hypoxia crisis in the Anthropocene
Authors: Soares Laura M. V. , Desgué‐Itier Olivia , Barouillet Cécilia , Casenave Céline , Domaizon Isabelle , Frossard Victor , Hairston Nelson G. , Lami Andrea , Lemaire Bruno J. , Saulnier Georges‐Marie , Soulignac Frédéric , Vinçon‐Leite Brigitte , Jenny Jean‐Philippe 
Published: October 2024

AbstractDespite global evidence of lake deoxygenation, its duration, timing, and impacts over decadal to centennial timescales remain uncertain. This study introduces a novel model approach using 150 yr of limnological and paleolimnological data to evaluate the anthropogenic impacts on deep oxygen in Lake Geneva. Results highlight an increase in oxygen consumption rates due to cultural eutrophication, initially triggering historical hypoxia, subsequently exacerbated by reduced winter mixing induced by climate change. Simulations of pre‐eutrophication conditions and future climate scenarios define safe operating spaces for the lake to thrive without severe hypoxia risk. Complete winter mixing and O2 recharge once every 3 yr can compensate the oxygen demand in Lake Geneva, even when exceeding 1.5 g O2 m−2 d−1. However, when complete winter mixing becomes less frequent, even consumption rates similar to those observed before eutrophication can cause persistent hypoxia, posing a significant threat to the survival of hypolimnetic aquatic life.
Charge Transport in Interband Cascade Lasers: An Ab‐Initio Self‐Consistent Model
Authors: Windischhofer Andreas , Opačak Nikola , Schwarz Benedikt 
Published: October 2024

AbstractInterband cascade lasers (ICLs) stand out due to their low threshold current and minimal power consumption, rendering them viable sources for compact and mobile devices in the mid‐infrared. Since their first demonstration, they experienced major performance improvements. Mostly they originate from either improved material quality or the outcomes of numerical analysis of secluded parts. Encouraged by the impact of secluded models, an ICL‐specific simulation tool can lead to performance breakthroughs and a better comprehension of governing mechanisms. Drawing from an evaluation of existing tools designed for quantum cascade structures, a self‐consistent density matrix rate equation model is implemented to simulate the transport in both conduction and valence band heterostructures. Albeit the extensive inclusion of the quantum effects, special care was taken to maintain a high numerical efficiency. The charge transport model additionally considers optical field calculations, allowing for predictive calculations of light–current–voltage curves. The model is benchmarked against well‐established ICL designs and demonstrate reliable performance predictability. Additionally, detailed insights into device characteristics extracted from the model are provided. This ultimately allows to deepen the understanding of ICL and not only refine existing ones but also generate novel optimized designs.
Influences of Sr(OH)2 on the Structure and Corrosion Resistance of Micro‐Arc Oxidation Coatings Formed on TC4 Titanium Alloy
Authors: Luo Qiming , Yang Shaolan , Wang Ping , Sun Fengyu , Zhu Manlan 
Published: October 2024

ABSTRACTIn order to improve the comprehensive properties of TC4 titanium alloy, micro‐arc oxidation (MAO) coating is prepared on the surface of a TC4 substrate in a basic electrolyte with varying concentrations of Sr(OH)2. The surface morphology, phase composition, element distribution, and corrosion resistance of MAO coatings are analyzed by scanning electron microscopy, X‐ray diffraction, an energy‐dispersive spectrometer, the electrochemical test, and the erosion–corrosion test. The results show that the voltage of the MAO process increases and then decreases; the surface morphology and density of the coatings are greatly improved after doping Sr(OH)2. When the concentration of Sr(OH)2 is 0.6 g L−1, the thickness, hardness, and adhesion strength of the coating reach the maximum values of 37.04 μm, 836.2 HV, and 21.8 N, respectively. At this time, the wear resistance and corrosion resistance are the best, and the friction coefficient and the corrosion rate are the lowest: 0.3352 and 1.04 × 10−10 mm a−1, respectively.
Visco‐elastic damped wave models with time‐dependent coefficient
Authors: Aslan Halit Sevki , Reissig Michael 
Published: October 2024

AbstractIn this paper, we study the following Cauchy problem for linear visco‐elastic damped wave models with a general time‐dependent coefficient :

We are interested to study the influence of the damping term on qualitative properties of solutions to () as decay estimates for energies of higher order and the parabolic effect. The main tools are related to WKB‐analysis. We apply elliptic as well as hyperbolic WKB‐analysis in different parts of the extended phase space.
Translation, Cross‐Culture Adaptation and Measurement Properties of the Simplified Chinese Version of the Osteoarthritis Knowledge Scale
Authors: Wang Ziru , Darlow Ben , Deng Huili , Ni Guoxin 
Published: October 2024

ABSTRACTObjectiveThe aim of this study was to culturally adapt the Osteoarthritis Knowledge Scale (OAKS) into a simplified Chinese version and to evaluate its measurement properties among Chinese‐speaking populations.MethodsThe OAKS scale was translated and cross‐culturally adapted following COSMIN guidelines. A total of 368 participants were recruited, including individuals with knee or hip osteoarthritis (OA), healthcare professionals, and individuals without OA. The study evaluated the scale's internal consistency, test‐retest reliability, and factor structure using Exploratory Factor Analysis (EFA).ResultsThe translated OAKS scale demonstrated acceptable levels of reliability across different groups. Cronbach's alpha for the KOAKS was 0.70 overall, with subgroup values ranging from 0.70 to 0.71. For the HOAKS, Cronbach's alpha was 0.77 overall, with subgroup values ranging from 0.63 to 0.72. Test‐retest reliability showed high Intraclass Correlation Coefficient (ICC) values for both scales (KOAKS: ICC = 0.960; HOAKS: ICC = 0.982). EFA revealed that the overall OAKS explained a substantial portion of the variance (60.51%), with KOAKS accounting for 59.35% and HOAKS accounting for 54.68% of the variance.ConclusionThe simplified Chinese version of the OAKS is a reliable tool for assessing OA knowledge among Chinese‐speaking patients, healthcare professionals, and the general public. The findings highlight the necessity for continuous improvement and adaptation of educational interventions to address specific knowledge gaps within the Chinese context.
A taxonomic guide to diffusion MRI tractography visualization tools
Authors: Laamoumi Miriam , Hendriks Tom , Chamberland Maxime 
Published: October 2024

AbstractVisualizing neuroimaging data is a key step in evaluating data quality, interpreting results, and communicating findings. This survey focuses on diffusion MRI tractography, which has been widely used in both research and clinical domains within the neuroimaging community. With an increasing number of tractography tools and software, navigating this landscape poses a challenge, especially for newcomers. A systematic exploration of a diverse range of features is proposed across 27 research tools, delving into their main purpose and examining the presence or absence of prevalent visualization and interactive techniques. The findings are structured within a proposed taxonomy, providing a comprehensive overview. Insights derived from this analysis will help (novice) researchers, clinicians, and developers in identifying knowledge gaps and navigating the landscape of tractography visualization tools.
Multi‐layer structure design, fabrication and numerical simulations of 3D woven spacer fabric composites with improved mechanical properties
Authors: Huang Ying , Zhao Xingzu , Zhao Jun , Ouyang Yiwei , Xu Weilin , Liu Yang 
Published: October 2024

AbstractThe 3D woven spacer fabric lightweight composites (WSFC) show promising applications in construction, transportation and aerospace. In this study, the 3D WSFC with different structural variations (e.g., layer thicknesses, stacking and face layer thickening) were designed and fabricated. The fracture strengths of single‐layer WSFC in the weft direction with layer thicknesses of 5, 10 and 15 mm were 54.4, 14.3, and 5.4 MPa. In the weft direction, the fracture strengths of double‐ and triple‐stacked 3D WSFCs were 30.6 and 21.7 MPa, which improved 1.1 times and 3.0 times as compared with those of original single‐layer 3D WSFCs, respectively. The double‐ and triple‐stacked WSFC also had large flexural deformation. The 3D WSFC with double‐layer misaligned stacking had the similar flexural strengths in both directions, which obviously reduced the performance differentiation of 3D WSFC in different directions. With the addition of face layer fabric, the mechanical performances of 3D WSFC were notably enhanced, and the damage modes were changed from brittle failure to ductile failure. Furthermore, a multi‐scale model of 3D WSFC with different structural variations was developed for numerical simulation to analyze the stress distribution and damage mechanism.Highlights
Stacking design obviously improves mechanical properties of 3D WSFC.
WSFC with misaligned stacking has similar flexural strengths.
A multi‐scale elastic–plastic damage model for 3D WSFC is established.
Damage modes of WSFC are changed with the stacking method.
Full‐field effect of flow‐induced fiber orientation during compression molding of carbon fiber sheet molding compounds
Authors: Nega Biruk Fikre , Pierce Robert Samuel , Yi Xiaosu , Liu Xiaoling 
Published: October 2024

AbstractAn image‐based fiber orientation analysis technique has been employed to study the effect of initial charge coverage and preferential fiber alignment on the flow‐induced fiber orientations in carbon fiber sheet molding compounds (SMCs). The initial charge coverage area exhibited minimal fiber reorientation while significant fiber alignment in the flow direction was observed in the regions of greatest flow. Novel subsurface analysis using the same full‐field orientation analysis technique also showed the presence of a skin‐core structure with greater flow‐induced fiber alignment at the mold surfaces, while the core retained more of the initial fiber orientation distribution. Edge effects were also revealed by this analysis at the mold walls. Tensile testing from two orthogonal directions showed that panels molded from lower charge coverage resulted in better mechanical performance and lower anisotropy. Moreover, by encouraging charge flow in the preform's preferential alignment direction, high tensile stiffness and strength in the preferred direction were achieved (56.7 GPa and 238.9 MPa, respectively) at 30% fiber volume fraction. This provides a practical demonstration of the value in controlling fiber orientation, with respect to charge positioning and mold flow, to maximize and tailor the composite performance of SMCs typically used for automotive applications.Highlights
Low‐cost scanning technique is extended to assess internal fiber orientations
Full‐field orientations are measured before and after molding
Investigation of how charge size and shape can affect orientations
Combining effects of flow and initial orientation to tailor SMC performance
Circular statistics provides a thorough analysis of orientation distributions
The Prevalent New‐User Design to Study Drug–Drug Interactions: The Example of Sulfonylureas and Warfarin Interaction on the Risk of Severe Hypoglycemia
Authors: Wang Wanqi , Cui Ying , Yu Oriana Hoi Yun , Suissa Samy , Douros Antonios 
Published: October 2024

ABSTRACTPurposeThe optimal design for pharmacoepidemiologic drug–drug interactions (DDIs) studies is unclear. Using the association between concomitant use of sulfonylureas and warfarin and the risk of severe hypoglycemia as a case study, a DDI with little or no clinical impact, we tested whether the prevalent new‐user design can be applied in the area.MethodsAmong all patients initiating sulfonylureas in the UK's Clinical Practice Research Datalink (1998–2020), we identified those adding‐on warfarin while on a sulfonylurea. For each co‐exposed patient, we defined a prescription‐based exposure set including other sulfonylurea users not adding‐on warfarin (comparators). Within each exposure set, we matched each co‐exposed patient to five comparators on time‐conditional propensity scores (TCPS) and followed them using an as‐treated approach. Cox proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) of severe hypoglycemia associated with concomitant use of sulfonylureas and warfarin compared to use of sulfonylureas alone. Sensitivity analyses addressed the impact of different potential sources of bias.ResultsThe study cohort included 17 890 patients co‐exposed to sulfonylureas and warfarin and 88 749 matched comparators. After TCPS matching, patient characteristics were well‐balanced between groups. Compared to use of sulfonylureas alone, concomitant use of sulfonylureas and warfarin was not associated with the risk of severe hypoglycemia (HR, 1.04; 95% CI, 0.92–1.17). Sensitivity analyses were consistent with the primary analysis (HRs ranging from 1.01 to 1.15, all not statistically significant).ConclusionsOur study suggests that the prevalent new‐user design could be used for the assessment of clinical effects of DDIs.
The Impact of Hormone Replacement Therapy on the Risk of Heart Failure in Postmenopausal Women: A Meta‐Analysis of Clinical and Observational Studies
Authors: Arayici Mehmet Emin , Kilic Mustafa Eray , Yilmaz Mehmet Birhan 
Published: October 2024

ABSTRACTPurposeThe relationship between heart failure (HF) and hormone replacement therapy (HRT) in postmenopausal women remains unclear. This paper aimed to elucidate the association between HRT and HF outcomes in postmenopausal women by scrutinizing evidence from clinical trials and observational studies.MethodsThe meta‐analysis was systematically executed following the PRISMA guidelines to include studies identified from the electronic databases, including PubMed, EMBASE, EBSCO, ICTRP, and NIH clinical trials. The primary endpoint of the effect comprised risk ratios (RR) for HF incidence and mortality, attended by 95% confidence intervals (CIs). The risk of bias was assessed employing the Cochrane Risk of Bias 2 (RoB2) tool for clinical trials and the Newcastle‐Ottawa Scale (NOS) for observational studies.ResultsThe search yielded a total of eight reports, originating from six individual studies, for inclusion in the current study, and 25 047 participants were included. The meta‐analysis demonstrated no remarkable association between HRT and the incidence of HF in postmenopausal women (RR: 1.07, 95% CI: 0.91–1.25, p = 0.37). However, a significant reduction in all‐cause mortality was observed among post‐menopausal HF patients who received HRT (RR: 0.65, 95% CI: 0.49–0.87, p = 0.003). In age‐related subgroup analyses, no significant change in the risk of HF was noticed among participants on HRT.ConclusionsThe findings of this paper demonstrate that HRT use is not associated with a significant increase in the risk of incident HF. This meta‐analysis also suggests a benefit in all‐cause mortality when HRT is administered to postmenopausal women with HF.
Trap colour strongly affects the ability of deep learning models to recognize insect species in images of sticky traps
Authors: Ong Song‐Quan , Høye Toke Thomas 
Published: October 2024

AbstractBACKGROUNDThe use of computer vision and deep learning models to automatically classify insect species on sticky traps has proven to be a cost‐ and time‐efficient approach to pest monitoring. As different species are attracted to different colours, the variety of sticky trap colours poses a challenge to the performance of the models. However, the effectiveness of deep learning in classifying pests on different coloured sticky traps has not yet been sufficiently explored. In this study, we aim to investigate the influence of sticky trap colour and imaging devices on the performance of deep learning models in classifying pests on sticky traps.RESULTSOur results show that using the MobileNetV2 architecture with transparent sticky traps as training data, the model predicted the pest species on transparent sticky traps with an accuracy of at least 0.95 and on other sticky trap colours with at least 0.85 of the F1 score. Using a generalised linear model (GLM) and a Boruta feature selection algorithm, we also showed that the colour and architecture of the sticky traps significantly influenced the performance of the model.CONCLUSIONOur results support the development of an automatic classification of pests on a sticky trap, which should focus on colour and deep learning architecture to achieve good results. Future studies could aim to incorporate the trap system into pest monitoring, providing more accurate and cost‐effective results in a pest management programme. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Effects of Bt‐cotton cultivation on Helicoverpa armigera activity‐density in agricultural landscapes in northwestern China
Authors: Li Minlong , Yang Long , Jia Shuangshuang , Kang Shuyuan , Yang Yizhong , Lu Yanhui 
Published: October 2024

AbstractBACKGROUNDCotton bollworm, Helicoverpa armigera (Hübner), threatens many crops. Bacillus thuringiensis (Bt) cotton has been planted to control this severe pest in northern Xinjiang, China. In 2021 and 2022, we monitored the activity densities of H. armigera males using sex pheromone traps in Bt cotton and non‐Bt maize fields. We assessed how much of the population variation of cotton bollworm in the fields within the Bt cotton planting area could be explained by (i) landscape composition [including the proportion of Bt cotton among total area of host crops (cotton, maize, wheat and vegetables)], (ii) landscape configuration (patch density – i.e. the number of patches within a given area) across 0.5‐2.0 km scales, or (iii) the population density of the previous pest generation.RESULTSCotton bollworm activity‐density exhibited two distinct peaks annually (mid‐ to late May and mid‐July each year), with the number of males caught during the second peak significantly and positively correlated with the first peak's numbers. The suppressive effect of the proportion of Bt cotton in the landscape on bollworms was more pronounced at larger scales, and patch density had a significant positive effect on bollworm activity density.CONCLUSIONSThese findings support (i) the promotion of Bt cotton in northwestern China has reduced and suppressed the occurrence of cotton bollworms at the landscape scale and (ii) the importance of controlling spring populations for effective summer outbreak management, and (iii) that cotton bollworm control should be coordinated at a large scale across multiple crop fields. © 2024 Society of Chemical Industry.
Influence of mesoscale sea‐surface temperature structures on the Mediterranean cyclone Ianos in convection‐permitting simulations: Contributions of surface warming and cold wakes
Authors: Mishra Alok Kumar , Jangir Babita , Strobach Ehud 
Published: October 2024

AbstractThis study examined the influence of mesoscale sea‐surface temperature (SST) structures and warming on the tropical‐like cyclone Ianos. The controlling mechanisms were investigated using a set of sensitivity experiments with the non‐hydrostatic weather research and forecasting model. A simulation forced by a high‐resolution SST field from the mesoscale eddy‐resolving HYCOM reanalysis (CTRLH) performed better than a simulation forced by a coarse‐resolution SST field from Optimum Interpolation Sea Surface Temperature (OISST) in terms of precipitation, wind intensity, and landfall location. The suppression of mesoscale SST variability affected the cyclone's intensity, its path, and associated processes. This effect depends on the nature of the anomalies (cold/warm). The suppression of mesoscale SST forcing intensified wind and precipitation in the presence of cold anomalies, leading to a northwestward shift of the storm's path during its mature phase. The magnitude of these changes varied with the scale of smoothing (mesoscale SST). Compared to the CTRLH simulation, a simulation in which a 60‐km smoothing filter was applied to the SST field resulted in a cyclone centered slightly to the west (or delayed by 3–6 hr), which was further shifted to the west (or delayed) when the smoothing filter was increased to 150 km. The intensification of wind and precipitation may be associated with the reduction in the storm's cold wake, which would lead to enhanced turbulent fluxes and increased atmospheric water vapor. These results highlight the role of small‐scale air–sea interaction processes that could have a strong impact on Mediterranean cyclones' path and intensity.