Miracle-dz/UniFAR-FTUs huggingface dataset:
Empirical Study on the Relationship between Users’ Mental Model and Purchase Intention of VIP Subscription: Evidence from Image Processing App in China

With the Internet entering the inventory stage, subscription services have become a major trend in the industry. As a technology company driven by artificial intelligence and with beauty as core, Meitu has launched VIP subscription services in several image processing applications. By December 2022, the number of VIP members grew to about 5.6 million, becoming a new engine for the company to open up more business space. At present, there is few research in academia on the VIP subscription intention of image processing APP. Combining the characteristics and usage experience of image processing APP, this thesis constructed the research model by introducing the concept of user’s mental model in the technology acceptance model. Using the structural equation modeling method, the hypothetical model and the relationship between critical variables was validated. With SPSS28.0 and AMOS24.0 software, the confirmatory factor analysis, exploratory factor analysis and structural equation modeling was conducted. The results indicate that both quality of system interface and quality of subscription service positively influence user’s mental model; mind model of users influences purchase intention through the direct path. At the same time, it also influences purchase intention through perceived ease of use and perceived usefulness, and the chain mediating path between them. Based on the findings, this thesis claims that Meitu should increase the investment in scientific research; it should not only focus on the optimization of system interface design, pay attention to the professionalism and personalized upgrade of subscription services, but also dig deeper into users’ needs and occupy their minds. At the same time, Meitu App should promote the subscription model with precise positioning and tiered payment, so as to increase users’ intention of subscription.
A Robust Machine Learning-Aided State Estimator for Distribution Network Based on Transformer-EKF

State estimation in distribution systems is becoming more challenging due to the increasing use of renewable energy sources, which introduce non-linearities, uncertainties, and complexity. In this article, we suggest a reliable machine learning-aided state estimator for active distribution networks utilizing the Transformer model. The Transformer's self-attention mechanism, parallel computing, and sequence modeling abilities make it a promising option for efficient and accurate state estimation. Our proposed methodology addresses issues with IEEE 118 and outperforms existing machine learning-aided state estimators in quasi-steady-state and non-Gaussian measurement noise situations.
Seismicity parameters preceding moderate to major earthquakes

Seismic events reported in the bulletins of the two large arrays, LASA and NORSAR, were merged with those from the NEIS bulletin for the period 1970–1977. Using a lower cutoff of mb = 5.8, 510 ‘main shocks’ within the P range of LASA or NORSAR were selected for this period; and various seismicity trends prior to them were investigated. A search for definite foreshocks, based on a significantly short time delay to the main shock, revealed that the true rate of foreshock occurrence was less than 20%. Foreshocks are almost exclusively associated with shallow (h 100 km) was demonstrated. For shallow events (<100 km) this variable reveals numerous instances of clustering and spatial-temporal seismic gaps, with little tendency toward a uniformity of behavior prior to main shocks. A statistical test of the validity of seismic precursors was performed for approximately 90 main shock regions which had sufficient seismicity. Using a five-variable vector (interevent time, interevent distance, magnitude, epicentral distance to main shock, and depth difference relative to main shock) for each event in a ‘precursory’ time window of 500 days before the main shock and for each event in a ‘normal’ time window of 500 days before that, the null hypothesis of equal vector means between the two groups was tested. At 90% confidence level, less than 30% of the main shock regions were thus found to exhibit precursory seismicity changes. Appendices are available with entire article on microfiche. Order from American Geophysical Union, 2000 Florida Avenue, N.W. , Washington, D.C. 20009. Document J81-007; $1.00. Payment must accompany order.
Assessment of tomographic mantle models using spectral element seismograms

SUMMARY We investigated the agreement between real seismograms and those predicted by long wavelength mantle models by looking at phase and amplitude differences. We computed full synthetic seismograms using a spectral element method together with 3-D mantle models and the appropriate crustal model on top. We selected differently damped mantle models to see the effect of regularization on the computed seismograms. To check the phase agreement, we measured time-shifts between the real and synthetic surface waves and body wave phases such as P, S and SS using a cross-correlation technique. We also compared the amplitudes of the real and synthetic seismograms to understand how well the models explain not only the phases, but the whole waveforms. 3-D mantle models improve the phase agreement of surface waves in particular. The remaining misfit, however, is still so large that we cannot distinguish between different tomographic models. We suggest that this is mainly due to an imperfect modelling of the crust, and/or source location if body waves are included, which have to be addressed in future inversions. Amplitude mismatches are large, regardless which 3-D mantle model is used. We observe that 3-D scattering or focusing/defocusing effects can only explain half of the surface wave amplitudes whereas body wave amplitudes are dominated by scattering effects. 1-D Q models, particularly in the crust and upper-mantle, strongly affect surface wave amplitudes and have to be modelled properly.
Evaluation of the performance characteristics of the European Lightning Detection Network EUCLID in the Alps region for upward negative flashes using direct measurements at the instrumented Säntis Tower

In this paper, we present a performance analysis of the European Cooperation for Lightning Detection (EUCLID) lightning detection network using data obtained on lightning currents measured at the Säntis Tower (located in northeastern of Switzerland) from June 2010 to December 2013. In the considered period of analysis, a total number of 269 upward negative flashes were recorded at the Säntis Tower. The performance of the EUCLID lightning detection network is evaluated in terms of detection efficiency, location accuracy, and peak current estimates for upward flashes. Excluding flashes containing only an initial continuous current with no superimposed pulses exceeding 2 kA, the flash detection efficiency for upward flashes is estimated to be 97%. The recorded flashes contained a total of 2795 pulses (including return strokes and International Conference on Communications pulses characterized by risetimes lower than 8 µs and peaks greater than 2 kA). The overall pulse detection efficiency was found to be 73%. For pulses with peak values higher than 5 kA, the pulse detection efficiency was found to be about 83%. Peak current estimates provided by the EUCLID network were found to be significantly larger than their directly measured counterparts. This overestimation might be attributed to the enhancement of the radiated electromagnetic fields associated with the presence of the tower and the mountain. The median of the absolute distance error, defined as the median distance between the Säntis Tower location and the EUCLID's stroke locations, was found to be 186 m, the majority of large location errors being associated with measured current peaks lower than 10 kA. The analysis revealed also that the location accuracy of the EUCLID network improved significantly in 2013 as a result of an upgrade in the location algorithms to take into account propagation effects.
Water pollution of Yellow River estuary coastal wetland

14 representative water-sample sites were selected around the coastal wetland of Yellow River Estuary and three times surveys were carried out on May(dry period),August(wet period) and November(level period),respectively.22 pollution indexes such as nutritive salt,heavy metal,petroleum etc.were measured.The pollution status was assessed with Nemero Index and comprehensive nutritional status index(TLI). The results showed that the water quality of coastal wetland was light eutrophication and deteriorated with each passing year.The slight pollution sites were found at wetland lakes,Yellow River old course,the national nature reserve,culture ponds and other static state water area,whereas the tributaries like Guangli River,Tiao River,Shenxiangou River,Xiaodao River and Gudong oil fields drainage ditch were serious polluted which were more serious polluted than the Yellow River.TN,TP,NH4+-N,UIA,Chl-a and petroleum were main pollutants at coastal wetland.As for the pollution of nitrogen and phosphorus,comparing with historical data,deteriorated significantly.The whole water quality was not optimistic in Yellow River estuary,although no significantly increase of petroleum pollutants and Hg pollution and no detection of other heavy metals.
Factors associated with non-adherence to angiotensin-converting enzyme inhibitors and angiotensin receptor blockers in older patients with peripheral arterial disease

Introduction: As in other chronic conditions, medication adherence is important in the treatment of peripheral arterial disease (PAD). Our study aimed at a) analysing non-adherence to angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) in groups of older ACEI and ARB users with PAD, and b) identifying characteristics associated with non-adherence. Methods: We focused on the implementation phase of adherence (i.e., after treatment initiation and before possible discontinuation of treatment). The study cohort included ACEI/ARB users aged ≥65 years in whom PAD was newly diagnosed during 2012. Non-adherence was defined as Proportion of Days Covered (PDC) < 80%. Results: Among 7,080 ACEI/ARB users (6,578 ACEI and 502 ARB users), there was no significant difference in the overall proportion of non-adherent patients between ACEI and ARB users (13.9% and 15.3%, respectively). There were differences in factors associated with non-adherence between the groups of persistent and non-persistent (i.e., discontinued treatment at some point during follow-up) ACEI and ARB users. Increasing age, dementia and bronchial asthma were associated with non-adherence in persistent ACEI users. General practitioner as index prescriber was associated with adherence in the groups of non-persistent ACEI users and persistent ARB users. Conclusion: Identified factors associated with non-adherence may help in determining the groups of patients who require increased attention.
An Inexactly Supervised Methodology Based on Multiple Instance Learning, Convolutional Neural Networks, and Dissimilarities for Interpretable Defect Detection and Localization on Textured Surfaces

The detection, localization, and interpretation of defects in textured surfaces pose challenges for automatic visual inspection. Both fully-supervised and weakly-supervised approaches have been proposed, where fully-supervised methods yield good results but require complex region proposal processes and labeled datasets, whereas with weakly-supervised methods, inexact labels that are less informative than fully labeled data are available. This paper introduces an alternative inexactly supervised methodology that performs defect detection and localization, along with a novel graphical interpretation of detected defects in textured surface images using image-level labels, without relying on region proposal algorithms or explicit defect annotations. The methodology employs block decomposition and bags as a representation using multiple instance learning, where feature vectors are generated from a convolutional neural network with transfer learning. Dissimilarities between bags are computed and the class label assignment is performed using a variant of the k-nearest neighbor algorithm. A baseline methodology using multiple instance learning and low-level feature extraction is also considered as a reference for comparison. The contribution of this study consists in providing a simple but powerful methodology in a way that graphically interpretable detection and localization results are obtained, enhancing the understanding of the detection outcomes. The proposed methodology is extensively evaluated using three datasets, one real and two synthetic, reporting various performance metrics and examples of localization and interpretation results. Average accuracies of 0.9722 ± 0.0058 and 0.9817 ± 0.0099 on synthetic datasets and a series of visualizations of the defect detection and localization results demonstrate the competitiveness of the proposal.
Runoff sources and flow paths in a partially burned, upland boreal catchment underlain by permafrost

Boreal soils in permafrost regions contain vast quantities of frozen organic material that is released to terrestrial and aquatic environments via subsurface flow paths as permafrost thaws. Longer flow paths may allow chemical reduction of solutes, nutrients, and contaminants, with implications for greenhouse gas emissions and aqueous export. Predicting boreal catchment runoff is complicated by soil heterogeneities related to variability in active layer thickness, soil type, fire history, and preferential flow potential. By coupling measurements of permeability, infiltration potential, and water chemistry with a stream chemistry end‐member mixing model, we tested the hypothesis that organic soils and burned slopes are the primary sources of runoff, and that runoff from burned soils is greater due to increased hydraulic connectivity. Organic soils were more permeable than mineral soils, and 25% of infiltration moved laterally upon reaching the organic‐mineral soil boundary on unburned hillslopes. A large portion of the remaining water infiltrated into deeper, less permeable soils. In contrast, burned hillslopes displayed poorly defined soil horizons, allowing rapid, mineral‐rich runoff through preferential pathways at various depths. On the catchment scale, mineral/organic runoff ratios averaged 1.6 and were as high as 5.2 for an individual storm. Our results suggest that burned soils are the dominant source of water and solutes reaching the stream in summer, whereas unburned soils may provide longer term storage and residence times necessary for production of anaerobic compounds. These results are relevant to predicting how boreal catchment drainage networks and stream export will evolve given continued warming and altered fire regimes.
Aprovechamiento y mercados de la madera en el norte amazónico de Bolivia

En Bolivia, en las ultimas dos decadas, han ocurrido importantes cambios en el reconocimiento de derechos de acceso y uso de tierras y bosques, beneficiando a comunidades campesinas e indigenas. Las reformas de tenencia fueron inicialmente acompanadas por iniciativas de descentralizacion politica y administrativa impulsadas por el Gobierno nacional. No obstante, la descentralizacion fallo en reconocer los complejos arreglos institucionales existentes en las comunidades, a traves de los cuales se realiza el uso de los recursos forestales para consumo local y para suministrar el mercado domestico de la madera. El Gobierno ha implementado distintos cambios normativos a lo largo del tiempo para mejorar los derechos locales sobre el uso de los bosques. Una de las medidas mas importantes ha sido la autorizacionde aprovechamiento de volumenes menores de madera en comunidades campesinas e indigenas, la que ha contribuido a modificar de manera significativa el proceso de aprovechamiento de madera. Este trabajo analiza los cambios de la normativa forestal o flexibilizacion de las regulaciones forestales en la region del norte Amazonico de Bolivia, en la perspectiva de entender mejor la reconfiguracion de la gobernanza forestal local. La flexibilizacion de las regulaciones forestales ha contribuido a interpelar los paradigmas sobre la gestion forestal que restringian los derechos de los actores comunitarios. Siendo que todavia existen deficiencias y vacios normativos, se hace necesaria la construccion de un nuevo paradigma forestal que reconozca mas explicitamente a las instituciones locales, como parte de un sistema de multiples niveles, para mejorar la gobernanza de los bosques.
THE RELATIONSHIP BETWEEN HUMAN RESOURCE MANAGEMENT PRACTICES, CAREER SATISFACTION AND TURNOVER INTENTION IN A POST-PANDEMIC EMERGING COUNTRY

Staff turnover is costly to organizations and often has a relationship with human resource management (HRM) practices and career satisfaction. However, based on the literature, the relationship between these three is unclear, especially in emerging countries. This study investigates the relationship between HRM practices, career satisfaction, and turnover intention among employees in the manufacturing sector in an emerging country. 71 employees responded to 49-item online questionnaires. Using Partial Least Square Modelling analysis, the findings show that compensation, training and development, performance appraisal, promotion, and job security significantly affect turnover intention. The results also show that training and development, employee empowerment, and job security have a significant relationship with career satisfaction. Furthermore, career satisfaction has a mediating effect on the relationship between training and development and turnover intention as well as job security and turnover intention. This study has significant contributions to the HRM practitioners in emerging countries.
The Relationship between Human Resource Practices and Organizational Performance in Chinese Construction Enterprises

Construction comprises a multitude of knowledge-driven activities within and amongst participating organizations. Given the dynamic environment and multi-project operations, construction organizations need to develop well-structured human resource practices to manage employees as well as to learn, innovate and change creative directions which are vital for organizational continuous improvement. Chinese construction enterprises have gained experience in various types of projects within the competitive environment over the 30 years of economic transformation to a market-based, socialist economy. This paper develops a framework to investigate the effects of human resource practices and organisational learning on the performance of Chinese construction enterprises. It is postulated that organizational learning exerts a mediating effect on the relationship of human resource practices and performance. This paper proposes a mixed method approach in which the qualitative study will contribute to the understanding of the current human resource practices and the barriers (if any) in implementing organizational learning practices in the Chinese construction stateowned enterprises; the quantitative analysis will examine the mediating effect of organizational learning on the relationship between human resource practices and organizational performance.
Planning for interprofessional change in primary health care: exploring the use of the Interprofessional Resource Centre

Importance: Resources to support change are needed for solo practitioners who are transitioning to family health teams (FHTs) which involve multiple health disciplines working together to provide team-based care. Objective: The purpose of this project was: (1) to explore the use of an online resource, the Interprofessional Resource Centre (IRC), when planning for interprofessional change and; (2) to explore the experience of planning interprofessional change. Design and setting: Six FHTs organized under the structure of one Local Health Integrated Network (LHIN) in Ontario, Canada. Intervention: Participants in six FHTs were directed to the IRC to support planning interprofessional In addition, two of the six FHTs participated in pilot site meetings with investigators where they received in-person support to apply the information from the IRC to an interprofessional activity. Results: Pilot site participants reported the IRC was useful for planning, but they cited lack of time to use it as a key barrier. When planning for interprofessional change, providers experienced challenges with physician buy-in and team dynamics. As a strategy for change, providers would like to learn from other FHTs who have experienced success with interprofessional change; at the LHIN level, they saw a need for more educational opportunities. Participation was found to be low among those only receiving online support. Conclusion and relevance: Based on the results of the study, it appears that online resource centers do have some value in knowledge translation when combined with in-person meetings. In exploring the planning of interprofessional change in primary health care teams, it was found that buy-in with physicians is a key challenge. solutions with the goal of identifying consistency. The Transdisciplinary team allows members to contribute their own knowledge and collectively determine the best idea or approach. IP, interprofessional practice.
Evaluation of Clouds and Their Radiative Effects Simulated by the NCAR Community Atmospheric Model Against Satellite Observations

Abstract Cloud climatology and the cloud radiative forcing at the top of the atmosphere (TOA) simulated by the NCAR Community Atmospheric Model (CAM2) are compared with satellite observations of cloud amount from the International Satellite Cloud Climatology Project (ISCCP) and cloud forcing data from the Earth Radiation Budget Experiment (ERBE). The comparison is facilitated by using an ISCCP simulator in the model as a run-time diagnostic package. The results show that in both winter and summer seasons, the model substantially underestimated total cloud amount in the storm tracks and in the subtropical dry regions of the two hemispheres, and it overestimated total cloud amount in the tropical convection centers. The model, however, simulates reasonable cloud radiative forcing at the TOA at different latitudes. The differences of cloud vertical structures and their optical properties are analyzed between the model and the data for three regions selected to represent the storm tracks: the convective Tropi.
UvA-DARE ( Digital Academic Repository ) Trends in treatment , incidence and survival of hypopharynx cancer : a 20-year population-based study in the Netherlands

Citation for published version (APA): Petersen, J. F. , Timmermans, A. J., van Dijk, B. A. C. , Overbeek, L. I. H. , Smit, L. A. , Hilgers, F. J. M. , . van den Brekel, M. W. M. (2018). Trends in treatment, incidence and survival of hypopharynx cancer: a 20-year population-based study in the Netherlands. European Archives of Oto-Rhino-Laryngology, 275(1), 181-189. https://doi.org/10.1007/s00405-017-4766-6