Miracle-dz/UniFAR-FTUs huggingface dataset:
Change of Snow Cover and Its Impact on Alpine Vegetation in the Source Regions of Large Rivers on the Qinghai-Tibetan Plateau, China

Abstract Based on a Normalized Difference Vegetation Index (NDVI) and remote sensing data of snow cover, we analyzed the variation in NDVI in relation to trends in snow cover and vegetation of the source regions of large rivers on the Qinghai-Tibetan Plateau. We then calculated the relationship between snow cover duration, snow depth, and NDVI to reveal the effect of snow cover change on vegetation growth on a regional scale. The results show that both snow depth and duration tend to reduce gradually from northeast to southwest on the Qinghai-Tibetan Plateau. Furthermore, snow cover duration (snow depth > 0 cm) has high interannual fluctuation and generally shows an increasing trend (P < 0.01) from 1980 to 2004. The interannual fluctuations of the duration of days with snow depth ≥ 5 cm as well as the maximum and average snow depth are also quite high, but they generally show insignificant tendencies (P > 0.05) from 1980 to 2004. The snow cover characteristics (duration and depth) are insignificantly correlated to annual maximum NDVI. However, a significant positive correlation (P < 0.05) is observed between snow cover duration (snow depth > 0 cm) and the NDVI values of both April and July, and an obvious negative correlation (P < 0.05) is observed between snow depth and the NDVI value in October across all source regions from 1981 to 2004. In the study area, increasing snow depth and the prolongation of the duration of snow cover have adverse effects on vegetation growth the following year. The melting of snow brings increasing effects to the NDVI value in the spring.
Gesture Recognition - Control of a Computer with Natural Head Movements

The topic of this article is a basic research considering a humancomputer interaction. The system is still under construction, however its basis – facial features tracking and head pose estimation – is ready to use, thus it could bring a head gesture controlled system into reality. We present an approach to control applications with head movements. We construct an Active Appearance Model (AAM) for facial feature extraction. Based on the landmarks of AAM shape, the head pose is modelled in the three-dimensional space by three Euler angles of rotation around the three axes orthogonal to each other, and three orthogonal translation directions. Regarding all the above mentioned facts, we are capable of recognizing gestures like head pointing, nodding, and shaking, blinking, opening and closing mouth.
Spatial and temporal distribution of lightning activity around Java

Cloud-to-ground lightning flashes on and around the island of Java, Indonesia, in the tropical maritime continent region, were observed continuously by a magnetic direction-finder network for lightning location from December 1994 to January 1996. The annual ground flash density, estimated by correcting the raw data by using the detection efficiency of the network, ranged from less than 2 to about 16 flashes/y/km 2 on the island. The average annual ground flash density over the entire island was 3.2 flashes/y/km 2 , as opposed to 0.24 flashes/y/km 2 on the Indian Ocean about 100 km south of the island. The majority of the flashes on the land occurred during November to April in the rainy season. In the dry season, lightning was active only in the western part of the island. The amount of monthly precipitation over the island was related to the monthly number of ground flashes, but the ratio of the precipitation to the ground flash density differed from season to season, from 4 × 10 8 kg/flash in the rainy season to 1.3 × 10 9 kg/flash for other months. The ratio observed in the rainy season is equal to that for the break period in the rainy season observed at Darwin, Australia, in the same maritime continent region. The annual ratio for the entire island was 6 × 10 8 kg/flash. The diurnal variation of the lightning activity averaged over the island in the set season showed a single peak in the afternoon with the peak time of about 1530 LT, similar to those reported for land stations in the tropics. The diurnal variation over the ocean had a peak in the early morning, showing the same characteristic observed in the western Pacific. The diurnal variation of the lightning activity on the sea of offshore regions around Java showed an almost out-of-phase pattern to the variation on the land, indicating the influence of the land-sea effect.
Relative contributions of climate change, stomatal closure, and leaf area index changes to 20th and 21st century runoff change: A modelling approach using the Organizing Carbon and Hydrology in Dynamic Ecosystems (ORCHIDEE) land surface model

[1] The recent evolution of continental runoff is still an open question. A related and controversial question is the attribution of this change and its consequences on our predictions of the behavior of future runoff. Here, the Land Surface Model Organizing Carbon and Hydrology in Dynamic Ecosystems is used to perform a set of transient simulations of the runoff from 1900 to 2100. We first show that the model's simulated runoff increases for the 20th century from a global point of view as well as its geographical pattern changes are close to the observations made in this paper. Moreover this trend is simulated to increase further during the 21st century under the SRES A2 scenario. We have designed a set of simulations to test the impact on global runoff evolution of three factors: climate, stomatal conductance, and vegetation growth, all sensitive to CO2 increase. A complete factor-separation analysis of the influence of these three factors and of their interactions shows that climate change largely drives the 20th and 21st century runoff increase. The other two factors (stomatal conductance and vegetation growth) play a minor role in the 20th century runoff trend but we show that these contributions increase for the 21st century simulations. Although the interactions between the factors also plays a negligible role in the 20th century global runoff increase, our results show that they become significant during the 21st century, usually reducing the direct effect of each factor. However, our study does not reveal any important negative feedback to counteract the effect of climate warming on the hydrological cycle.
Ecological issues in Thai environmental assessment scoping guidance

This research examines the ecological content of Thai environmental impact assessment guidelines that provide formal scoping guidance. The guidelines for power plants, industrial projects, dams and harbours as well as the general guidelines were analysed using review criteria. Generally, ecosystem, habitat and species population aspects feature strongly. The requirements for data presentation are more highly developed than issues related to ecological processes. All guidelines lack precise details as to how an ecological impact assessment should be carried out. There are many deficiencies in the treatment of ecological aspects, especially relating to existing studies and impact assessment. This evidence should feed into the improvement of ecological impact studies in Thailand.
Search for Knowledge: Text Mining for Examination of University-Industry Knowledge Transfer

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Memory Augmented Neural Model for Incremental Session-based Recommendation

Increasing concerns with privacy have stimulated interests in Session-based Recommendation (SR) using no personal data other than what is observed in the current browser session. Existing methods are evaluated in static settings which rarely occur in real-world applications. To better address the dynamic nature of SR tasks, we study an incremental SR scenario, where new items and preferences appear continuously. We show that existing neural recommenders can be used in incremental SR scenarios with small incremental updates to alleviate computation overhead and catastrophic forgetting. More importantly, we propose a general framework called Memory Augmented Neural model (MAN). MAN augments a base neural recommender with a continuously queried and updated nonparametric memory, and the predictions from the neural and the memory components are combined through another lightweight gating network. We empirically show that MAN is well-suited for the incremental SR task, and it consistently outperforms state-oft-he-art neural and nonparametric methods. We analyze the results and demonstrate that it is particularly good at incrementally learning preferences on new and infrequent items.
Adv-Inpainting: Generating Natural and Transferable Adversarial Patch via Attention-guided Feature Fusion

The rudimentary adversarial attacks utilize additive noise to attack facial recognition (FR) models. However, because manipulating the total face is impractical in the physical setting, most real-world FR attacks are based on adversarial patches, which limit perturbations to a small area. Previous adversarial patch attacks often resulted in unnatural patterns and clear boundaries that were easily noticeable. In this paper, we argue that generating adversarial patches with plausible content can result in stronger transferability than using additive noise or directly sampling from the latent space. To generate natural-looking and highly transferable adversarial patches, we propose an innovative two-stage coarse-to-fine attack framework called Adv-Inpainting. In the first stage, we propose an attention-guided StyleGAN (Att-StyleGAN) that adaptively combines texture and identity features based on the attention map to generate high-transferable and natural adversarial patches. In the second stage, we design a refinement network with a new boundary variance loss to further improve the coherence between the patch and its surrounding area. Experiment results demonstrate that Adv-Inpainting is stealthy and can produce adversarial patches with stronger transferability and improved visual quality than previous adversarial patch attacks.
A Geometric Observer Design for Visual Localisation and Mapping

This paper builds on recent work on Simultaneous Localisation and Mapping (SLAM) in the non-linear observer community, by framing the visual localisation and mapping problem as a continuous-time equivariant observer design problem on the symmetry group of a kinematic system. The state-space is a quotient of the robot pose expressed on SE (3) and multiple copies of real projective space, used to represent both points in space and bearings in a single unified framework. An observer with decoupled Riccati-gains for each landmark is derived and we show that its error system is almost globally asymptotically stable and exponentially stable in-the-large.
Simultaneous Localization and Map-Building Using Active Vision

An active approach to sensing can provide the focused measurement capability over a wide field of view which allows correctly formulated simultaneous localization and map-building (SLAM) to be implemented with vision, permitting repeatable longterm localization using only naturally occurring, automatically-detected features. In this paper, we present the first example of a general system for autonomous localization using active vision, enabled here by a high-performance stereo head, addressing such issues as uncertainty-based measurement selection, automatic map-maintenance, and goal-directed steering. We present varied real-time experiments in a complex environment.
Simultaneous Localization and Map Building Using the Probabilistic Multi-Hypothesis Tracker

This paper demonstrates how the data-association technique known as the probabilistic multi-hypothesis tracker (PMHT) can be applied to the feature-based simultaneous localization and map building (SLAM) problem. The main advantage of PMHT over other conventional data-association techniques is that it has low computational complexity, while still providing good performance. Low complexity is a particularly desirable feature for the SLAM problem where the estimators used may already be costly to implement. The paper also proposes an estimation approach based on generalized expectation-maximization iterations of the PMHT SLAM problem, which is able to achieve low computation complexity at the expense of local convergence. The performance of the PMHT SLAM algorithm is compared with other approaches, and its output is demonstrated on a benchmark data set recorded in Victoria Park, Sydney, Australia
Covert Channels in One-Time Passwords Based on Hash Chains

We present a covert channel between two network devices where one authenticates itself with Lamport's one-time passwords based on a cryptographic hash function. Our channel enables plausible deniability. We also present countermeasures to detect the presence of such a covert channel, which are non-trivial because hash values are randomly looking binary strings, so that deviations are not likely to be detected.
Modelling session types using contracts

Web services are one of the most widely used technologies for service oriented computing. In particular, they support client-server protocols whose specifications are written in XML languages as such as WSCL or WSDL. Notwithstanding the wide adoption of web services, it is not yet clear which formalism should be used to reason about the protocols they support. Session types and contracts are two formalisms used to study client-server protocols, both promoted as good formal methods for web services. In this paper we study the relationship between contracts and session types. The main result is the existence of a fully abstract model of session types; this model is based on a natural interpretation of these types into a subset of contracts.
Single Antenna Relay System Using De-Noise and Forward Scheme for MIMO Transmission

SUMMARY This paper proposes single antenna relay system using Denoise and forward (DNF) scheme for MIMO transmission. In this scheme, the relay node eliminates the noise by identifying constellation, and retransmits after amplification. DNF does not amplify the noise, and the channel information is unnecessary in the transmitting side. In this paper, we propose the de-noising scheme for MIMO application. Particularly, DNF can be used for the multi-stream transmission even though each relay nodes have single antenna. The simulation demonstrates the proposed scheme can improve the data transmission quality than the conventional scheme.
Emotional Responses to a Sexual Assault Threat: A Qualitative Analysis Among Women With Histories of Sexual Victimization

Sexual assaults against women are a leading threat to human rights and public health in the United States. Considering the high rates of sexual revictimization among women and the limited understanding of the mechanisms which fuel this phenomenon, the goal of the present study was to investigate the role of emotion in coping with a hypothetical threat of sexual assault for previously sexually victimized college women. A total of 114 college women with a history of sexual victimization listened to an audio-recording describing a sexual assault scenario and then described how they felt. A qualitative analysis paradigm was used to capture participants’ responses in an open-ended, real-time, experiential manner. Data were analyzed using Consensual Qualitative Research—Modified methodology. Four main themes emerged (Negative Reactions, Indifferent Evaluations, Active Responses, and Cognitive Appraisal of the Situation), along with various subcategories, demonstrating the variability of women’s responses to a sexual assault threat. Many women experienced uncomfortable or distressing emotional reactions to the vignette, primarily through discomfort, but also through anger, anxiety, and being upset. Few women reported experiencing fear, and a small number reported experiencing self-blame. The low endorsement of fear and anger in our high-risk sample indicates emotional dysregulation as a potential mechanism of repeated sexual victimization and a promising target for clinical intervention. Overall, results may inform sexual assault risk reduction efforts and the empowerment of women who have experienced sexual victimization.
Modelling future NO3 leaching from an upland headwater catchment in SW Norway using the MAGIC model: II. Simulation of future nitrate leaching given scenarios of climate change and nitrogen deposition

Future nitrate (NO 3 ) leaching to surface water at an upland heathland catchment, Oygardsbekken, southwestern Norway, was simulated using the MAGIC model with monthly time steps. Oygardsbekken has high nitrogen (N) load and exhibits seasonally elevated NO 3 leaching. Future estimates for temperature, precipitation and N deposition were implemented. The climate scenarios were based on dynamically downscaled data from the Rossby Centre Regional Climate model (RCAO) driven by two scenarios of greenhouse gas emissions, A2 and B2, and run with two global climate models, HadAM3 and ECHAM4/OPYC3 from the Hadley Center and Max Planck Institute, respectively. Estimates of future rates of nitrogen (N) and carbon (C) processes in the catchment were based on the downscaled temperature scenarios and two different storylines, one assuming changes only in soil processes (mineralisation N, decomposition C, plant N uptake, N immobilisation, litterfall N) due to future warming and N deposition (SLsoil), and the other assuming changes in both vegetation (plant N uptake and litterfall C/N ratio) and soil processes (SLsoil + veg). Compared to the present, MAGIC simulated higher future NO 3 leaching for both storylines with much higher rates for SLsoil. The results suggest that differences between the two storylines were larger than differences between the different scenarios within each storyline. For the scenarios with the highest future leaching rates the pronounced seasonal NO 3 pattern levelled out, while for the scenarios with moderate projected NO 3 leaching the seasonal pattern prevailed but was skewed towards highest leaching during spring rather than in winter as at present.
Laboratory and field determinations of small-strain shear modulus for a structured Champlain clay

Values of small-strain shear modulus Gmax, for a Champlain Sea clay deposit were obtained both under an embankment built 18 years ago, and outside of the area influenced by this embankment. The small-strain shear moduli Gmax were measured in the laboratory by using resonant column tests and in the field by spectral analysis of surface waves. In addition to verifying the two methods, comparison of the in situ and laboratory values allowed evaluation of the influence of the sampling and the need to correct the laboratory values to account for the age of the deposit. The test program also made it possible to verify the influence of the deposit's consolidation and the existing models predicting small-strain shear moduli in clay deposits. Key words : shear modulus, shear-wave velocity, resonant column, in situ test, surface waves, soft clay.
Potentials and Their Role in Transport in Porous Media

The concept of “capillary,” or “matric,” potentials is commonly used in soil physics to describe water movement in unsaturated soils. The rigorous definition of these and other potentials is presented from fundamental thermodynamic principles at the microscopic level and extended to the macroscopic level by averaging over a representative elementary volume. Of special interest is the treatment of adsorptive surface forces and their associated potentials. Porous medium potentials are extended to a domain containing multiple fluid phases and multiple components. A macroscopic motion equation for a fluid phase (Darcy's law) is derived, incorporating the effect of potentials and surface forces. It relates advective fluxes to gradients of macroscopic chemical potentials and temperature. It reduces to the usual form of Darcy's law only when the aqueous phase is sufficiently dilute and temperatures are uniform. Kelvin's law, which relates relative humidity to matric potential, is extended to the case of multiple multicomponent fluid phases in a porous medium domain. The concept of “irreducible” (or “residual”) wetting fluid saturation and its relationship to capillary pressure, surface forces, and the Gibbs chemical potential, are discussed. Common methods for determining the matric potential are reexamined in light of this work.
Multi-agent evolutionary design of Beta fuzzy systems

This paper provides an overview on a new evolutionary approach based on an intelligent multi-agent architecture to design Beta fuzzy systems (BFSs). The Methodology consists of two processes, a learning process using a clustering technique for the automated design of an initial Beta fuzzy system, and a multi-agent tuning process based on Particle Swarm Optimization algorithm to deal with the optimization of membership functions parameters and rule base. In this approach, dynamic agents use communication and interaction concepts to generate high-performance fuzzy systems. Experiments on several data sets were performed to show the effectiveness of the proposed method in terms of accuracy and convergence speed.
Functional interpretation of inner shell layers in Triassic ceratid ammonites

The wrinkle layer the inner prismatic layer are described in three Triassic ceratid genera: Phyllocludiscites. Megaphyllites Proarcestes. Both layers have their counterparts in the shell wall of the recent Nautilus: the wrinkle layer corresponds to the mantle-adhesive layer the inner prismatic layer to the myostracal layer in Nautilus. A detailed structural functional comparison between these layers is given. The wrinkle layer is also compared with the oblique prismatic layer in recent gastropods.