Miracle-dz/UniFAR-FTUs huggingface dataset:
Can the Gateway Hypothesis , the Common Liability Model and / or , the Route of Administration Model Predict Initiation of Cannabis Use During Adolescence ? A Survival Analysis-The TRAILS Study

Citation for published version (APA): van Leeuwen, A. P., Verhulst, F. C. , Reijneveld, S. A. , Vollebergh, W. A. M. , Ormel, J., & Huizink, A. C. (2011). Can the Gateway Hypothesis, the Common Liability Model and/or, the Route of Administration Model Predict Initiation of Cannabis Use During Adolescence? A Survival Analysis-The TRAILS Study. Journal of Adolescent Health, 48(1), 73-78. DOI: 10.1016/j.jadohealth. 2010.05. 008
A Recurrence-Based Direct Method for Stability Analysis and GPU-Based Verification of Non-Monotonic Lyapunov Functions

Lyapunov's direct method is a powerful tool that provides a rigorous framework for stability analysis and control design for dynamical systems. A critical step that enables the application of the method is the existence of a Lyapunov function $V-\mathrm{a}$ function whose value monotonically decreases along the trajectories of the dynamical system. Unfortunately, finding a Lyapunov function is often tricky and requires ingenuity, domain knowledge, or significant computational power. At the core of this challenge is the fact that the method requires every sub-level set of $V(V_{\leq c})$ to be forward invariant, thus implicitly coupling the geometry of $V_{\leq c}$ and the trajectories of the system. In this paper, we seek to disentangle this dependence by developing a direct method that substitutes the concept of invariance with the more flexible notion of recurrence. A set is $(\tau-)$ recurrent if every trajectory that starts in the set returns to it (within $\tau$ seconds). We show that, under mild conditions, the recurrence of sub-level sets $V_{\leq c}$ is sufficient to guarantee stability and introduce the appropriate stronger notions to obtain asymptotic stability and exponential stability. We further provide a GPU-based algorithm to verify whether $V$ satisfies such recurrence conditions up to an arbitrarily small neighborhood of the equilibrium.
Information Technology Continuance in the External Audit Profession: Evidence from Vietnam

This study presents a research model that combines rational action, represented by perceived usefulness, subjective norm, continuance intention and empirical response to shape external auditor’s continuance behavior using a particular technology. By collecting primary data through surveys on continuance behavior using information technology at independent auditing ﬁrms, we have demonstrated that this relationship is cross-functional, complementary and inter-dependent. Hence, this article implies that future studies need to examine the difference when approaching the theory of behavior using information technology in the ﬁrst and subsequent time on many aspects, including: objective and subjective reasons of the individual and facilitating conditions of the organization.
Heuristic dual-tree wavelet thresholding for infrared thermal image denoising of underground visual surveillance system

Abstract. To remove noise from infrared thermal images captured in underground mining working face under low luminance and dusty environment, a nonreference infrared thermal image denoising method based on heuristic dual-tree wavelet thresholding is proposed. The threshold is optimized through estimating noise variance in wavelet domain using an improved chaotic drosophila algorithm (CDOA), which is promoted by a spatial–spectral entropy based metric. The basic DOA, genetic algorithm, particle swarm optimization algorithm, and virus colony search algorithm are implemented to compare the convergence rate and optimization ability of improved CDOA. Moreover, other representative denoising methods, such as BM3D, BLS-GSM, fast translation invariant, and nonlocal Bayes, are also applied for comparison. Comparison result proves effectiveness and superiority of the proposed method. Finally, the proposed method is applied in infrared thermograph-based visual surveillance system, and the denoising results also prove the state-of-art performance.
Modeling the heat transfer coefﬁcient between a surface and ﬁxed and ﬂuidized beds with PCM

The objective of this work is to model the heat transfer coef-ﬁcient between an immersed surface and ﬁxed and bubbling ﬂuidized beds of granular phase change material (PCM). The model consists of a two-region model with two different voidages in which steady and transient conduction problems are solved for the ﬁxed and ﬂuidized bed cases, respectively. The model is validated with experimental data obtained under ﬁxed and ﬂuidized conditions for sand, a common material used in ﬁxed and ﬂuidized beds for sensible heat storage, and for a granular PCM with a phase change temperature of approximately 50 (cid:14) C. The superﬁcial gas velocity is varied to quantify its inﬂuence on the convective heat transfer coefﬁ-cient for both materials. The model proposed for the PCM properly predicts the experimental results, except for high ﬂow rates, which cause the contact times between the surface and particles to be very small and lead the model to over-predict the results.
The impact of social influence on the perceived helpfulness of online consumer reviews

Purpose This study aims to study to what extent the helpfulness votes others attach to a review affect a consumer’s perceived helpfulness of that review. In addition, the purpose of this study is to investigate whether this social influence moderates the relationships among several content presentation factors and perceived helpfulness. Design/methodology/approach A choice-based conjoint experiment was carried out in which 201 respondents evaluated different reviews and chose the review they perceive as most helpful. Findings Consumers perceive reviews as more (less) helpful in the presence of clearly valenced positive (negative) helpfulness votes. In addition, helpfulness votes of others diminish the positive impact of structure and the negative impact of spelling errors. Research limitations/implications The experimental setup may limit the external validity of the study. Practical implications Providing a helpfulness button gives firms an instrument to offer content that consumers perceive as more useful and to exert some influence on the effects of content presentation factors on the review’s helpfulness. Social implications Consumers tend to follow other consumers’ opinions without forming their own opinion. Firms could misuse this tendency by hiring people to vote on reviews that are not necessarily helpful for consumers, but are helpful for the firm. Originality/value This study is the first to assess the extent to which social influence affects consumers’ evaluation of reviews. Given that consumers use helpfulness votes to distinguish reviews, it is important to understand to what extent these votes reflect the actual helpfulness of the information in the review and to what extent they reflect previous helpfulness votes.
Hazy Images Segmentation Method Based on Improved DeeplabV3+

: To address the issue of decreased segmentation accuracy in foggy images and the difficulty in accurately segmenting heavy fog regions in traditional semantic segmentation models, we propose an improved segmentation model that combines image Levels adjustment and attention mechanisms. Firstly, the fog density of the image is estimated using an atmospheric scattering model, and the image is adjusted based on the estimated fog density to highlight the information that was originally obscured by the fog. A dual branch input (DB Input), is constructed for both heavy fog and light fog areas to enhance the feature learning of the model without destroying the initial information of the foggy image. An RCCA module, which is a spatial domain attention mechanism, is introduced at the end of the dual branch input to enhance the region attention ability of the module in different branches. Experiments are conducted on the datasets Foggy Cityscapes and Foggy Uavid. The results show that the improved model achieves 70.6% and 66.7% in the mIOU accuracy, respectively, which is a 5.2% and 5.4% improvement over the original model, indicating better segmentation results.
Curvature , cones and characteristic numbers

We study Einstein metrics on smooth compact 4-manifolds with an edge-cone singularity of specified cone angle along an embedded 2-manifold. To do so, we first derive modified versions of the Gauss–Bonnet and signature theorems for arbitrary Riemannian 4-manifolds with edge-cone singularities, and then show that these yield non-trivial obstructions in the Einstein case. We then use these integral formulæ to obtain interesting information regarding gravitational instantons which arise as limits of such edge-cone manifolds.
Stress, Shock and Resilience: How Locals in the Periyar River Basin Adapted to the Ban on Sand Mining

Sand mining is one of the main livelihood option for the local people who reside near the river. The story of people near the Kerala’s biggest river is not an exception. Hundreds of households find their livelihood from sand mining and associated jobs. But, 2015 due to excess exploitation of sand and other illegal activities associated with it, banned sand mining activities in the Periyar River. This was a shock to the local livelihood who doesn’t possess any livelihood assets. What is the extent of livelihood shock and how the local community resilient towards this adverse situation and adapted to the shock is the main theme of this paper? The study basically uses primary data collected from 738 households through stratified random sample method to understand the situation. The study argues that the ban on sand mining was a sudden threat to all those who have involved in sand mining. Even though this particular livelihood doesn’t require any particular asset bases, people who have created assets for their subsidiary activity during the sand mining could easily resilient to the shock. They could convert their subsidiary activity into their main activity when the ban was effective. Others find it difficult to cope up with the situation and had a desperate time. Nevertheless, the ANOVA results clearly shows that sand miners could not regain the level of income that they earned in the pre ban period during the post ban period. The article suggests that subsidiary occupation is the best tool to cope up with the stress and shocks associated with a particular livelihood.
Estimating the Effects of Large Shareholders Using a Geographic Instrument Estimating the Effects of Large Shareholders Using a Geographic Instrument*

Large shareholders may play an important role for firm performance and policies, but identifying an effect empirically presents a challenge due to the endogeneity of ownership structures. We develop and test an empirical framework which allows us to separate selection from treatment effects of large shareholders. Unlike other blockholders, individuals tend to hold blocks in public firms located close to where they reside. Using this empirical observation, we develop an instrument – the density of wealthy individuals near a firm's headquarters – for the presence of a large, non-managerial individual shareholder in a firm. These shareholders have a large impact on firms, controlling for selection effects. Consistent with theories of large shareholders as monitors, we find that they increase firm profitability, increase dividends, reduce corporate cash holdings, and reduce executive compensation. Consistent with the view that there exist conflicts between large and small owners in public firms, we uncover evidence of substitution toward less tax-efficient forms of distribution in firms with blocks. In addition, large shareholders reduce the liquidity of the firm's stock. * We thank two anonymous referees as well as Laura Starks (the editor) for detailed comments that significantly improved the paper. We have also benefited from comments
Shimware: Toward Practical Security Retrofi � ing for Monolithic Firmware Images

In today’s era of the Internet of Things, we are surrounded by security-and safety-critical, network-connected devices. In parallel with the rise in attacks on such devices, we have also seen an increase in devices that are abandoned, reached the end of their support periods, or will not otherwise receive future security updates. While this issue exists for a wide array of devices, those that use monolithic � rmware , where the code and data are opaquely intermixed, have traditionally been di � cult to examine and protect. In this paper, we explore the challenges of retro � tting monolithic � rmware images with new security measures. First, we outline the steps any analyst must take to retro � t � rmware, and show that previous work is missing crucial aspects of the process, which are required for a practical solution. We then automate three of these aspects—locating attacker-controlled input, a safe retro � t injection location, and self-checks preventing modi � cations—through
Image Wavelet Scattering and Densenet Based Pistachio Identification

Today, computer-based systems are gaining importance in the agricultural sector in order to increase the economic value of products, industrial processing efficiency, and recognition of agricultural products. Pistacia vera (Kırmızı and Siirt pistachio) varieties grown in Turkey differ from each other in many ways such as price, nutritional value, shape and flavor. In this study, a classification model based on wavelet image scattering and DarkNet53 convolutional neural network (ESA) was developed to distinguish the Red and Siirt pistachio cultivars grown in our country. Within the scope of the study, the study was carried out with images of a total of 2148 pistachio varieties, 1232 of which are Kırmızı and 916 of which are Siirt. In order to classify these images, features of the images were obtained with wavelet image scattering and DarkNet53 convolutional neural network architecture, and then these features were classified with Support Vector Machines (SVM). By using wavelet image scattering and DarkNet53 ESA architecture, 97.98% accuracy was obtained as a result of the classification of the feature set of the images by SVM.
Blended Wing Body Systems Studies: Boundary Layer Ingestion Inlets with Active Flow Control

A CFD analysis was performed on a Blended Wing Body (BWB) aircraft with advanced, turbofan engines analyzing various inlet configurations atop the aft end of the aircraft. The results are presented showing that the optimal design for best aircraft fuel efficiency would be a configuration with a partially buried engine, short offset diffuser using active flow control, and a D-shaped inlet duct that partially ingests the boundary layer air in flight. The CFD models showed that if active flow control technology can be satisfactorily developed, it might be able to control the inlet flow distortion to the engine fan face and reduce the powerplant performance losses to an acceptable level. The weight and surface area drag benefits of a partially submerged engine shows that it might offset the penalties of ingesting the low energy boundary layer air. The combined airplane performance of such a design might deliver approximately 5.5% better aircraft fuel efficiency over a conventionally designed, pod-mounted engine.
23% efficient n-type crystalline silicon solar cells with passivated partial rear contacts

— Over the past 5 years there has been a significant increase in both the intensity of research and the performance of crystalline silicon (c-Si) devices which utilize metal compound selective contacts. Here we present a new TiO x / LiF x / Al heterocontact stack which is implemented in high efficiency n-type cells as a partial rear contact without the need for heavy phosphorus doping. An efficiency of 23% is attained for this cell structure, setting a new benchmark for cells with dopant-free partial rear contacts. In addition, the performance of the cell is maintained after a short anneal at 400 o C, suggesting its compatibility with conventional passivation activation anneals.
USE AND EFFICIENCY OF KNOWLEDGE TRANSFER METHODS WITHIN PROJECT-BASED ENVIRONMENTS

: In most organizations, knowledge is deeply embedded in people minds, databases, routines, procedures or simply in the organizational culture. This knowledge it is of little value though, unless it is easily accessed and delivered to the right people at the right time. One of the most acute problems in project environments has become the dependence on knowledge that is not in the possession of the team. To overcome the problem of knowledge possession project managers have tried to increase the transfer of knowledge both within and among the teams but with little success. Thus the main purpose of the paper is to present the methods of knowledge transfer that could be applied to projects environments in order to resolve the problem of knowledge possession. Research on learning has shown that people learn better and retain knowledge longer when their brains are actively engaged, therefore the managers must focus their attention on those methods that engage the team members and make them realize their importance within the team.
Læringsnettverk som verktøy i kvalitetsforbedring - en oppsummering av forskning og erfaring

spre kunnskap og forbedre kvaliteten i helsetjenesten. Problemstillingen i denne systematiske oversikten er todelt: Kan læringsnettverk bidra til god kvalitet i helseog omsorgstjenesten gjennom gjensidig læring på tvers av fagprofesjoner, avdelinger og organisasjoner? Hvilke suksesskriterer og kritiske faktorer er identifi sert når det gjelder bruken av læringsnettverk i forbedringsarbeid i helsetjenesten? Metode: Søkestrategien består av tre elementer: Systematiske litteratursøk i relevante databaser. Søk på relevante norske og internasjonale hjemmesider. Innhente erfaring om læringsnettverk gjennom dialogkonferanse/ressurspersoner. Resultat: Vi identifi serte til sammen 113 referanser. 88 av disse var resultat av systematiske søk. I tillegg fant vi 24 norske rapporter og en vitenskaplig artikkel. Forskning viser en positiv men begrenset effekt av å organisere forbedringsarbeidet i læringsnettverk. Muligheten er derfor til stede for at deltakelse i slike nettverk kan bidra til god kvalitet i helseog omsorgstjenesten. Evaluering av læringsnettverk tyder på at deltakelse øker Læringsnettverk som verktøy i kvalitetsforbedring en oppsummering av forskning og erfaring
Sources laser à fibre cristalline YAG dopée erbium et pompée par diode

Parmi les nombreuses applications des sources laser, certaines necessitent une propagation du faisceau dans l'atmosphere sur plusieurs kilometres : telemetrie, designation, ou encore imagerie active. Pour eviter tout risque oculaire tout en proposant de plus grandes portees, ces applications doivent faire appel a des sources laser emettant une longueur d'onde dans la gamme a securite oculaire autour d'un minimum local d'absorption de l'atmosphere (1550-1650 nm). De telles sources existent deja commercialement, mais ne repondent pas aux exigences militaires de compacite, de consommation electrique, de performance et de fonctionnement sur une large gamme de temperature (-40°C/+60°C). Mes travaux de these tentent d'apporter une reponse a l'ensemble de ces exigences. Avec l'aide des partenaires industriels Fibercryst et Cilas, ils portent sur la realisation de sources laser compactes et efficaces a fibre cristalline Er3+:YAG directement pompee par une diode laser pour des applications militaires.A l'aide d'un algorithme de simulation d'un laser Er3+:YAG declenche passivement elabore et affine durant la these, plusieurs sources sont realisees experimentalement. L'etude autour des absorbants saturables pour le declenchement passif a permis une amelioration notable des caracteristiques du faisceau.Ces recherches, dont les resultats peuvent deja presenter un certain interet commercial, ouvrent la voie vers de nouvelles techniques et architectures autour des sources laser a cristaux dopes aux ions erbium pour la conception de futurs prototypes plus performants.
Robust controller design for uncertain delayed systems and its applications to hypersonic vehicles

The longitudinal dynamics of hypersonic flight vehicles involves strong nonlinearity and coupling, uncertainties including parametric uncertainties, unmodeled uncertainties, external disturbances, and time‐varying input and state time delays. In this paper, a robust controller design method is proposed for the longitudinal stabilization of these vehicles by the signal‐compensation‐based control idea. Theoretical analysis is given to prove the robustness properties of the designed closed‐loop control system subject to multiple time‐varying uncertainties and time‐varying input and state delays. Simulation results are performed to show the validness and advantages of the proposed robust control approach.
Environmental Compartments: Equilibria and Assessment of Processes Between Air, Water, Sediments and Biota

Any concentration of a substance measured in a living or non-living system results from its distribution among all of the environmental compartments: air, water, sediments, and biota. The transfer of a substance from one compartment to another is regulated by physical forces and the chemical properties of the substance and also those of the compartments. When transfer processes are nearly constant in time, a substance will achieve predictable equilibria distributions. It is of utmost importance that students, environmental scientists, and policymakers understand the basic processes which control the distribution of a substance in order to interpret measurements obtained from within a limited number of compartments.
Experimental design for inference over the A . thaliana circadian clock network *

Planning experiments is a crucial step in successful investigations, which can greatly bene t from computational modeling approaches. Here we consider the problem of designing informative experiments for elucidating the dynamics of biological networks. Our approach extends previously proposed methodologies to the important case where the structure of the network is also uncertain. We demonstrate our approach on a benchmark scenario in plant biology, the circadian clock network of Arabidopsis thaliana, and discuss the di erent value of three types of commonly used experiments in terms of aiding the reconstruction of the unknown network.