Miracle-dz/UniFAR-FTUs huggingface dataset:
A Literature Analysis on the Relationship between AI Influencers’ Perceived Credibility and Purchase Intention: Product-Endorser Fit with the Brand as a Moderator

The study investigates the impact of AI influencers’ perceived credibility (AIIs’PC ) on Chinese consumers’ purchase intention (PI), as well as the moderating effect of product -endorse fit with the brand (PEFB) on the relationship between AIIs’PC and PI. AIIs’PC refers to the level of trust consumers have in AI influencers and their perception of the reliability and authenticity of the information, recommendations, or product endorsements provided by them. AII s’ PC includes attractiveness, trustworthiness, and expertise. PEFB denotes the relevance or congruence between the product endorser (AI influencer) and the brand being promoted. This alignment involves whether the image, traits, and values of the product endorser align with the positioning, image, and values of the brand. Previous literature on human influencer marketing has indicated that consumers’ purchase intention is influenced by AIIs’PC and PEFB, but the research results remain mixed and inconclusive. Specifically, there is a lack of relevant research on the moderating effect of PEFB on the relationship between AIIs’PC and PI in the context of AI influencer marketing. Therefore, this study discusses the relationship between AIIs’PC and PI and the moderating effect of PEFB on the relationship between AIIs’PC and PI. Ultimately, this research can enrich the existing body of knowledge on consumer behavior in the context of AI influencer marketing.
Late-Holocene cliff-top blowout activation and evolution in the Cooloola Sand Mass, south-east Queensland, Australia

Cliff-top dunes are a locally important geomorphic features of sedimentary coasts. They are traditionally interpreted as being sourced by (or with) sand derived from the beach below the cliff. This paper presents the results of a stratigraphic and geochronological study of Carlo Sand Blow, a coastal blowout that has developed on top of a high sandy cliff in the Cooloola Sand Mass, south-east Queensland. We use a combination of sedimentological, pedological and geophysical techniques along with optically stimulated luminescence dating to determine the depositional history and evolution of the blowout. We demonstrate that the blowout is dominantly nourished by sand eroded from its floor rather than the adjacent beach. The original dune surface dates to the first half of the last glacial period (c. 40–70 ka) and this dune was deflated in the late-Holocene. Dune activity is directly associated with cliff undercutting because of coastal retreat in the late-Holocene, but coastal erosion on its own is not capable of maintaining aeolian activity. Blowout activity occurred between 2.6 and 2.3 ka and again at 0.3 ka with aeolian sand burying palaeosols. Both soil surfaces contained charcoal and tree stumps in growth position and our study suggests that fire is the immediate trigger for blowout reactivation. It is likely that these fires were anthropogenic in origin, because the site is somewhat protected from natural fire and the ages coincide with intensification of human use of coastal sites in the area.
Understanding Ligilactobacillus salivarius from Probiotic Properties to Omics Technology: A Review

Ligilactobacillus salivarius (basonym: Lactobacillus salivarius, L. salivarius) is a type of lactic acid bacteria (LAB) commonly found in the oropharyngeal-gastrointestinal tract (OGT). It has gained significant attention due to its probiotic and functional properties as well as its various health-promoting roles. L. salivarius strains exhibit strong resistance and adhesion in the OGT along with outstanding antioxidant and antimicrobial properties. Additionally, numerous L. salivarius strains have the ability to produce bacteriocins with antagonistic activity. These probiotic characteristics of L. salivarius indicate its remarkable potential in promoting favorable effects on human health. It has also been observed that L. salivarius has a positive effect on the composition of intestinal microbiota, thereby improving the metabolic profiling of intestinal microbiota, promoting a healthy and balanced internal environment. In recent years, multi-omics technologies such as genomics, transcriptomics, proteomics and metabolomics have been employed to gain a deeper understanding of the roles and mechanisms of L. salivarius associated with its functional properties. This review aims to provide an overview of the probiotic characteristics of L. salivarius, containing its specific interactions with the host microflora, as well as insights from omics studies.
Cyclostratigraphy, stratigraphic gaps and the duration of the Hettangian Stage (Jurassic): insights from the Blue Lias Formation of southern Britain

Abstract The lithostratigraphic characteristics of the iconic Blue Lias Formation of southern Britain are influenced by sedimentation rates and stratigraphic gaps. Evidence for regular sedimentary cycles is reassessed using logs of magnetic susceptibility from four sites as an inverse proxy for carbonate content. Standard spectral analysis, including allowing for false discovery rates, demonstrates several scales of regular cyclicity in depth. Bayesian probability spectra provide independent confirmation of at least one scale of regular cyclicity at all sites. The frequency ratios between the different scales of cyclicity are consistent with astronomical forcing of climate at the periods of the short eccentricity, obliquity and precession cycles. Using local tuned time scales, 62 ammonite biohorizons have minimum durations of 0.7 to 276 ka, with 94% of them <41 ka. The duration of the Hettangian Stage is ≥2.9 Ma according to data from the West Somerset and Devon/Dorset coasts individually, increasing to ≥3.7 Ma when combined with data from Glamorgan and Warwickshire. A composite time scale, constructed using the tuned time scales plus correlated biohorizon limits treated as time lines, allows for the integration of local stratigraphic gaps. This approach yields an improved duration for the Hettangian Stage of ≥4.1 Ma, a figure that is about twice that suggested in recent time scales.
Air Pollution and Primary DNA Damage among Zagreb (Croatia) Residents: A Cross-Sectional Study

More than eight million premature deaths annually can be attributed to air pollution, with 99% of the world’s population residing in areas below recommended air quality standards. Hence, the present study aimed to examine the association between primary DNA damage and air pollution data among 123 participants enrolled between 2011 and 2015 in Zagreb, Croatia. While most measured air pollutants adhered to regulatory limits, benzo[a]pyrene concentrations bound to PM10 exceeded them. Factorial analysis narrowed down air pollution data to four exposure factors (particulate matter, two metal factors, and other pollutants). Despite the absence of significant positive associations between modeled air pollution exposure factors and comet assay descriptors (tail length, tail intensity, tail moment, and highly damaged nuclei), the critical health implications of air pollution warrant further investigations, particularly with biomarkers of exposure and different biomarkers of effect in populations facing air pollution exposure.
Potential Distribution and Conservation of Endangered Bird Anthussokokensis in Ruvu-south Coastal Forest Reserve, Tanzania

Ruvu-South Coastal Forest Reserve forms one of the most important coastal forests in Eastern Africa coastal belt. It provides important ecological habitat for most endemic and endangered fauna and flora species including endangered Sokoke pipit bird (Anthussokokensis). The study evaluated the potential distribution and conservation of globally endangered Sokoke pipit bird in Ruvu Coastal Forest Reserve in Tanzania. Specifically the project assessed the current population size, distribution, and habitat conditions of Sokoke pipit bird in the study area. Using National Forest Inventory protocol, a total of 9 tagged line transects were established 900m from each other and sample plots of 50m x 30m were laid at every 400m along tagged transects. In each sample plot, information about forest floor conditions, forest gaps and signs for forest disturbances were assessed.Study recorded a total of 201 disturbance events along all 13 transects. Tree cutting events were observed at highest frequency rate with 71 incidences compared to others; followed by fire damage incidences. Also the study recorded 28 Sokoke pipit birds distributed in 5 sample plots among all 39 plots surveyed.The mean density ofS.pipit bird found is0.02 birds/ha, with a projected overall bird population estimated at 611 individuals in the entire forest. The study recommends further studies to other parts of the forest reserve so as to identify other fundamental niche, endangered and endemic species. Also to enhance of forest management by local authority and raise conservation awareness to address human-mediated forest destruction. Keywords— Sokoke pipit, distribution, population,Ruvu south coastal forest.
Impact of Aerosol‐PBL Interaction on Haze Pollution: Multiyear Observational Evidences in North China

Atmospheric aerosols have been found to influence the development of planetary boundary layer (PBL) and hence to enhance haze pollution in megacities. Previous works on aerosol‐PBL interaction were mainly based on model simulation for short‐term cases; so far, there is a lack of long‐term observational evidences. In this study, based on multiyear measurements and reanalysis meteorological data, we give observational evidences on aerosol‐PBL interaction and its impact on pollution aggravation. We found a significant heating in upper PBL with maximum temperature change about 0.7 °C on average and a substantial dimming near surface with a mean temperature drop of −2.2 °C under polluted condition. By integrating Eulerian forward simulation and Lagrangian backward trajectory calculation, we demonstrated that the atmospheric heating was mainly induced by light‐absorbing aerosols like black carbon. Then an index representing such effect was proposed, which could well characterize aerosol‐PBL interaction and its impact on air pollution.
Concept and Consequence of Evapotranspiration for Sustainable Crop Production in the Era of Climate Change

The chapter provides an inclusive information related to the adverse effect of climate change on sustainable crop production through understanding evaporation, transpiration as well as evapotranspiration. It is anticipated that water availability in arid and semi-arid regions across the world will decrease, due to lack of rainfall and increase the temperature which leads to increase in the dry areas. Since climate change will impact on soil water balance that leads to change in evaporation and plant transpiration. While, with the increasing temperature, lack of precipitation and soils water unavailability, crop production will likely to decrease through shortening the crop growth cycle. While soils with high water holding capacity and crop cultivars which are tolerant to adverse effect as well as the application of improved management strategies will be better to reduce the impact of drought. Similarly, if the irrigated areas will be expanded, the total crop production will be increased that ultimately lead to increase the food security of increasing population.
Comparison of ALS- and UAV(SfM)-derived high-density point clouds for individual tree detection in Eucalyptus plantations

ABSTRACT Highly accurate, rapid forest inventory techniques are needed to enable forest managers to address the increasing demand for sustainable forestry. In the last two decades, Airborne Laser Scanning (ALS) and Terrestrial Laser Scanning have become internationally established as forest mapping and monitoring methods. However, recent advances in sensors and in image processing – particularly Structure from Motion (SfM) technology – have also enabled the extraction of dense point clouds from images obtained by Digital Aerial Photography (DAP). DAP is cheaper than ALS, especially when the systems are mounted on small unmanned aerial vehicles (UAVs), and the density of the point cloud can easily reach the levels yielded by ALS devices. The main objective of this study was to evaluate and compare the usefulness of ALS-derived and UAV(SfM)-derived high-density point clouds for detecting and measuring individual tree height in Eucalyptus spp. plantations established on complex terrain. A total of 325 reference trees were measured and located in 6 square plots (400 m2). The individual tree crown (ITC) delineation algorithm detected 311 from the ALS-derived data and 259 trees from the UAV(SfM)-derived data, representing accuracy levels of, respectively, 96% and 80%. The results suggest that at plot level, UAV(SfM)-generated point clouds are as good as ALS-derived point clouds for estimating individual tree height. Furthermore, analysis of the differences in digital elevation models at landscape level showed that the elevations of the UAV(SfM)-derived terrain surfaces were slightly higher than the ALS-derived surfaces (mean difference, 1.14 m and standard deviation, 1.93 m). Finally, we discuss how non-optimal UAV-image-acquisition conditions and slope terrain affect the ITC delineation process.
Source Complexity of the 2015 Mw 7.9 Bonin Earthquake

The 30 May 2015 Mw 7.9 Bonin earthquake, one of the largest and deepest earthquakes ever recorded by modern seismology, provides a unique opportunity to study the source process and physical mechanisms of deep‐focus earthquakes. We develop a novel back projection technique that allows source imaging in full three‐dimensional space with a high‐depth resolution. Our results indicate an initial SW‐NE bilateral source propagation followed by a northwest source extension. The multiple‐source inversion reveals a two‐step source process with propagating directions nearly perpendicular to each other, consistent with the 3‐D back projection result. The spatial distribution and focal mechanisms of the subevents cannot be modeled by a single planar rupture, which may display a curved rupture plane or subevents crossing multiple fault interfaces. The complex source process can be best explained by stress or structure heterogeneity within the deep slab.
Sociosexual Orientation and Relationship Satisfaction among College Students

Abstract: This qualitative investigation delves into the intricate interplay between sociosexual orientation and relationship satisfaction among a cohort of university students aged 18-25. Employing a phenomenological paradigm and leveraging a Semi-Structured Interview Method, this study conducts a rigorous examination using Braun and Clarke Thematic analysis to unearth nuanced themes. The research seeks to comprehend the Factors Contributing to Relationship Satisfaction, elucidate the Influence of Sociosexual Orientation on the Dynamics and Overall Satisfaction of college students' relationships, and scrutinise the challenges inherent in sustaining relationship contentment within the collegiate milieu. The findings underscore the profound impact of collegiate experiences on sociosexual orientation, catalysing processes of self-discovery, personal evolution, and adaptive coping mechanisms. Furthermore, emotional connectivity within relationships emerges as a pivotal factor fostering heightened receptivity to diverse experiences, aligning with established research on the significance of secure emotional bonds. The study reveals formidable challenges in preserving satisfaction during the college years, emphasising the pivotal role of effective communication and mutual understanding. Additionally, the exploration of varied perspectives on desires and relationship realities accentuates the dynamic nature of relationship satisfaction and underscores the profound influence of sociosexual orientation on behavioural patterns. This research contributes to the evolving body of knowledge in the field, shedding light on the intricate dynamics that shape and influence relationship satisfaction among college students at the master's and doctoral levels.
Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN

Modeling the probability of blocking User Equipment (UE) sessions within a cell is a crucial aspect within the management of 5G services with Guaranteed Bit Rate (GBR) requirements, especially in the process of planning in advance the deployment of such services. The complexity of modeling the UE blocking probability arises from the dependency of this performance indicator on multiple factors, including the UE channel quality within the cell, the MAC scheduling discipline, the statistical distributions of the traffic demand and session duration, and the GBR requirements of the corresponding service. In this vein, we propose an analytical model to assess the UE blocking probability for a GBR service. The proposed model is based on a Markov chain which is insensitive to the holding time distribution of the UE data sessions. Furthermore, it may consider as input any continuous distribution for the average Signal-to-Interference-plus-Noise Ratio (SINR) within the cell. The simulation results demonstrate the execution time of the proposed model is on the order of tens of milliseconds, which makes it suitable for testing multiple network configurations in a short term, training ML models or detecting traffic anomalies in real time. Additionally, the results show that our model exhibits an estimation error for the UE blocking probability below 2.6%.
From active to stable: Paraglacial transition of Alpine lateral moraine slopes

Many retreating Alpine valley glaciers leave large lateral moraines behind. Reworking of these landforms by geomorphic processes is one of the most important paraglacial processes in many Alpine environments. Although several studies investigated moraine reworking by gullying processes, it is not well known what happens when gullying ceases and why and when lateral moraine slopes become stable. This study improves the understanding of the paraglacial transition from active to stable Alpine lateral moraine slopes by assessing potential influencing factors, indicators for completed paraglacial adjustment, and its spatiotemporal patterns using a combination of geomorphic and ecologic data. A geomorphic and ecologic permanent plot survey and geomorphic mapping were carried out on three lateral moraine complexes in the Turtmann glacier foreland (Switzerland). Subsequently, permanent plot data were analysed using multivariate statistics. Our study suggests that ecosystem engineering by colonizing plant species, slope geomorphometry, and material properties are important factors influencing the paraglacial transition from active to stable slopes. Geomorphic processes are often absent once vertical vegetation layers and soil horizons develop, showing that mature vegetation and advanced soil development are valuable indicators for slope stability and completed paraglacial adjustment. In a conceptual model, we describe the paraglacial transition of Alpine lateral moraine slopes as a temporal sequence in which gullying (Stage I), solifluction (Stage II), and finally stabilization (Stage III) follow one after another. In space, paraglacial adjustment is heterogeneous, and resulting patterns can be explained by the identified influencing factors.
High-Resolution QPF Uncertainty and Its Implications for Flood Prediction: A Case Study for the Eastern Iowa Flood of 2016

This study addresses the uncertainty of High-Resolution Rapid Refresh (HRRR) quantitative precipitation forecasts (QPFs), which were recently appended to the operational hydrologic forecasting framework. In this study, we examine the uncertainty features of HRRR QPFs for an Iowa flooding event that occurred in September 2016. Our evaluation of HRRR QPFs is based on the conventional approach of QPF verification and the analysis of mean areal precipitation (MAP) with respect to forecast lead time. The QPF verification results show that the precipitation forecast skill of HRRR significantly drops during short lead times and then gradually decreases for further lead times. The MAP analysis also demonstrates that the QPF error sharply increases during short lead times and starts decreasing slightly beyond 4-h lead time. We found that the variability of QPF error measured in terms of MAP decreases as basin scale and lead time become larger and longer, respectively. The effects of QPF uncertainty on hydrologic prediction are quantified through the hillslope-link model (HLM) simulations using hydrologic performance metrics (e.g., Kling–Gupta efficiency). The simulation results agree to some degree with those from the MAP analysis, finding that the performance achieved from the QPF forcing decreases during 1–3-h lead times and starts increasing with 4–6-h lead times. The best performance acquired at the 1-h lead time does not seem acceptable because of the large overestimation of the flood peak, along with an erroneous early peak that is not observed in streamflow observations. This study provides further evidence that HRRR contains a well-known weakness at short lead times, and the QPF uncertainty (e.g., bias) described as a function of forecast lead times should be corrected before its use in hydrologic prediction.
Homogeneous Age-hardening of Large-sized Al-Sc Foams via Micro-alloying with Zr and Ti

Al-based foams have drawn increasing attention from industry due to their integration of structure and functional properties. However, large-sized Al-based foams still cannot be homogeneously strengthened by long-time aging due to their low thermal conductivity. In this study, we proposed an age-hardening approach that was applied in large-sized Al-0.16Sc-0.17Zr (wt.%) foams via micro-alloying with Zr and Ti compared with Al-0.21Sc foams; it not only achieved homogeneous strength by long-term aging but also reduced the cost of the alloy by substituting Zr and Ti for the more expensive Sc content. The results show that the Al3(Sc, Zr, Ti) phase with a core–shell structure as a crucial precipitation strengthening phase by micro-alloying with Zr and Ti was less prone to coarsening after a prolonged aging heat treatment. Therefore, the yielding strength of Al-Sc foam micro-alloying with Zr and Ti remained almost unchanged after a maximum aging time of 1440 h due to less coarsening precipitate, which is consistent with the results of mechanical experiments. These findings provide a new way for the heat treatment strengthening of large-sized Al-based foams, thus promoting their industrial applications.
Gold and associated minerals in the Waikaia placer gold mine, Northern Southland, New Zealand

ABSTRACT The Waikaia alluvial gold mine is hosted in a Pleistocene paleochannel that is buried beneath younger sediments beside the Waikaia River. The paleochannel sediments were derived primarily from local basement, with a minor component of recycled Miocene quartz pebble conglomerate. The detrital gold in the paleochannel has a wide range of textures, from angular nugget-like particles, through equant rounded and abraded particles, to highly flattened thin flakes that have commonly been folded. The internal grain structures of these various particles reflect differing degrees of particle deformation during transport, followed by variable amounts of post-depositional recrystallisation and associated leaching of Ag from the gold. The diverse gold textures represent passage through different numbers of sedimentary recycling events and associated deformation since the first particles were eroded from the adjacent Otago Schist source area in the Cretaceous. Minor authigenic gold overgrowths occur on the gold particles, typically with authigenic clay. However, the finest sediment component (<10 µm) of mine-related waters is dominated by quartz and albite rather than clay minerals.