Miracle-dz/UniFAR-FTUs huggingface dataset:
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting

Balancing the trade-off between accuracy and robustness is a long-standing challenge in time series forecasting. While most of existing robust algorithms have achieved certain suboptimal performance on clean data, sustaining the same performance level in the presence of data perturbations remains extremely hard. In this paper, we study a wide array of perturbation scenarios and propose novel defense mechanisms against adversarial attacks using real-world telecom data. We compare our strategy against two existing adversarial training algorithms under a range of maximal allowed perturbations, defined using \ell_\infty -norm, \in [0.1,0.4]. Our findings reveal that our hybrid strategy, which is composed of a classifier to detect adversarial examples, a denoiser to eliminate noise from the perturbed data samples, and a standard forecaster, achieves the best performance on both clean and perturbed data. Our optimal model can retain up to 92.02% the performance of the original forecasting model in terms of Mean Squared Error (MSE) on clean data, while being more robust than the standard adversarially trained models on perturbed data. Its MSE is 2.71× and 2.51× lower than those of comparing methods on normal and perturbed data, respectively. In addition, the components of our models can be trained in parallel, resulting in better computational efficiency. Our results indicate that we can optimally balance the trade-off between the performance and robustness of forecasting models by improving the classifier and denoiser, even in the presence of sophisticated and destructive poisoning attacks.
Design of SFSI: An Imaging Spectrometer in the SWIR

RESUMELe CCT a entrepris, avec la collaboration du CNRC, la mise au point d'un spectrometre-imageur dans la region des faibles longueurs d'onde de l'infrarouge. L'objectif est d'obtenir a la fois de hautes resolutions spectrales (10 nm) et spatiales (50 cm) a partir d'une plate-forme aerienne et d'enregistrer tous les spectres pour chacun des pixels. Les specifications du capteur sont analysees, des concepts de base sont proposes et les performances du capteur sont estimees. Les calculs montrent que, si les criteres de conception sont satisfaits, ce capteur sera alors capable de mesurer la profondeur des creux d'absorption spectrale par rapport aux niveaux de luminance energetique en dehors des bandes, lesquels sont aussi faibles que 5 pour cent dans des fenetres comprises entre 1,20 μm et 1,32 μm, et entre 1,50 μm et 1,79 μm, et 20 pour cent des sois (30 pour cent pour certains types de vegetation) dans une fenetre situee entre 2,0 μm et 2,4 μm.
Strategic Climate Policy with Offsets and Incomplete Abatement

Strategic Climate Policy with Offsets and Incomplete Abatement: Carbon Taxes Versus Cap-and-Trade / Jon Strand. World Bank, Jun 2011, 41 p. (Policy Research working paper No. WPS 5675) http://www-wds.worldbank. org/external/default/WDSContentServer/IW3P/IB/2011/06/02/000158349_20110602165151/Rendered/PDF/WPS5675.pdf This paper provides a first analysis of optimal offset policies by a “policy bloc” of fossil fuel importers implementing a climate policy, facing a (non-policy) fringe of other imp.
EngagedScholarship@CSU EngagedScholarship@CSU

— Programming support for multi-threaded applications on embedded microcontroller platforms has attracted a considerable amount of research attention in the recent years. This paper is focused on this problem, and presents UnStacked C , a source-to-source transformation that can translate multithreaded programs written in C into stackless continuations. The transformation can support legacy code by not requiring any changes to application code; only the underlying threading library needs modiﬁcations. We describe the details of UnStacked C in the context of the TinyOS operating system for wireless sensor network applications. We present a modiﬁed implementation of the TOSThreads library for TinyOS, and show how existing applications programmed using TOSThreads can be automatically transformed to use stackless threads with only modiﬁcations in the build process. By eliminating the need to allocate individual thread stacks and by supporting lazy thread preemption, UnStacked C enables a considerable saving of memory used and power consumed, respectively.
Mineralogical and morphological properties of individual dust particles in ice cores from the Tibetan Plateau

ABSTRACT Using a field emission scanning electron microscope and energy-dispersive X-ray spectrometer (FESEM−EDS), individual insoluble dust particles in ice cores recovered from the northern (Dunde), western (Muztagata) and south-eastern (Palong-Zangbo) Tibetan Plateau were analysed in order to reveal the mineralogical and morphological characteristics of the analogue of long-range transported Asian dust. The results reveal that the dust particles are mainly composed of quartz (17–36%, number abundance), clay (37–48%) and feldspar (12–18%). Illite and chlorite are the dominant clay species, while kaolinite is rarely observed. For the three sites, regional differences in the mineral assemblages are significant, in particular the abundance of quartz, chlorite and muscovite species, reflecting the regional provenance of these dust particles and the climatic regime in their source areas. Oxide ratios in clays indicate different weathering strengths of the particles in their source regions, with a higher K2O/(SiO2 + Al2O3) in the western and northern Tibetan Plateau. The individual particles have modes of 1.48 and 1.53 in the aspect ratio and circularity distribution respectively. No significant relationship between aspect ratio and circularity was found. Quartz and feldspar particles have a narrow aspect ratio distribution. Muscovite particles have the coarsest grain size, while chlorite particles have the finest.
Flood hazard and flood risk assessment at the local spatial scale: a case study

With regard to minimizing flood damage, there are measures of different character each of which has its justification and plays an important role in flood protection. Implementation of traditional flood protection measures is still very important; however, an increasing role should be played particularly by flood prevention and flood risk management. The paper presents a case study on flood hazard and flood risk assessment at the local spatial scale using geographic information systems, remote sensing, and hydraulic modelling. As for determining flood hazard in the model area, which has 3.23 km2, the estimation of maximum flood discharges and hydraulic modelling were important steps. The results of one-dimensional hydraulic modelling, which are water depth and flow velocity rasters, were the basis for determining flood hazard and flood risk. In order to define flood risk, the following steps were applied: determining flood intensity on the basis of water depth and flow velocity rasters, determining flood hazard using three categories (low, medium, and high) based on flood intensity, defining vulnerability for the classes of functional areas using three categories of acceptable risk (low, medium, and high), and lastly determination of flood risk which represents a synthesis of flood hazard and vulnerability of the model area.
Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Intrinsic Scene Properties from a Single Rgb-d Image

—In this paper, we present a technique for recovering a model of shape, illumination, reflectance, and shading from a single image taken from an RGB-D sensor. To do this, we extend the SIRFS (" shape, illumination and reflectance from shading ") model, which recovers intrinsic scene properties from a single image [1]. Though SIRFS works well on neatly segmented images of objects, it performs poorly on images of natural scenes which often contain occlusion and spatially-varying illumination. We therefore present Scene-SIRFS, a generalization of SIRFS in which we model a scene using a mixture of shapes and a mixture of illuminations, where those mixture components are embedded in a " soft " segmentation-like representation of the input image. We use the noisy depth maps provided by RGB-D sensors (such as the Microsoft Kinect) to guide and improve shape estimation. Our model takes as input a single RGB-D image and produces as output an improved depth map, a set of surface normals, a reflectance image, a shading image, and a spatially varying model of illumination. The output of our model can be used for graphics applications such as relighting and retargeting, or for more broad applications (recognition, segmentation) involving RGB-D images.
Ice processes and surface ablation in a shallow thermokarst lake in the central Qinghai–Tibetan Plateau

Abstract The Qinghai-Tibetan Plateau (QTP) is characterized by a cold climate and a large number of lakes. The long ice season necessitates study of the widespread ice covers in the region. An unprecedented multidisciplinary field campaign was conducted on lake ice processes in the central QTP during the period 2019–13. The study lake generally froze up in late October or early November, and broke up in mid or late April, with a maximum ice thickness of 50–70 cm. The mass balances at both ice surface and bottom were measured continuously. Significant ice surface sublimation/ablation was detected and accounted for up to 40% of the whole ice thickness over the ice season. A simple heat-transfer model was developed for the surface ice loss. The calculated values were in good agreement with the observations. They also indicated that atmospheric conditions, including low air humidity and prevailing strong winds, are the primary drivers of the ice surface sublimation.
Programming of hippocampal structure and function by early-life stress: Opportunities for nutritional intervention

Early-life stress (ES) increases vulnerability to psychopathology and impairs cognition in adulthood. These ES-induced deficits are associated with lasting changes in hippocampal plasticity. Detailed information on the neurobiological basis, the onset and progression of such changes and their sex-specificity is currently lacking but is required to tailor specific intervention strategies. Here we use a chronic ES mouse model based on limited nesting and bedding material from postnatal day (P) 2-9 to investigate; i ) if ES leads to impairments in hippocampus-dependent cognitive function in adulthood, and ii ) if these alterations are paralleled by changes in developmental and/or adult hippocampal neurogenesis. ES increased developmental neurogenesis (proliferation and differentiation) in the dentate gyrus (DG) at P9, and the number of immature (NeurD1 + ) cells migrating postnatally from the secondary dentate matrix, indicating prompt changes in DG structure in both sexes. ES lastingly reduced DG volume and the long-term survival of developmentally born neurons in both sexes at P150. In adult male mice only, ES reduced survival of adult-born neurons (BrdU/NeuN + cells), while proliferation (Ki67 + ) and differentiation (DCX + ) were unaffected. These changes correlated with impaired performance in all learning and memory tasks used here. In contrast, in female mice, despite early alterations in developmental neurogenesis, no lasting changes were present in adult neurogenesis after ES and the cognitive impairments were less prominent and only apparent in some cognitive tasks. We further show that, although neurogenesis and cognition correlate positively, only the hippocampus-dependent functions depend on changes in neurogenesis, whereas cognitive functions that are not exclusively hippocampus-dependent do not. This study indicates that chronic ES has lasting consequences on hippocampal structure and function in mice and suggests that male mice are more susceptible to ES than females. Unraveling the mechanisms that underlie the persistent ES-induced effects may have clinical implications for treatments to counteract ES-induced deficits.
Semiárido, caatinga e legislação ambiental

It focuses the environmental problem in the caatinga, detaching the disregard to this adapts, that it already meets fragility for the human action and discriminated besides by the Brazilian legislation, that it needs to be updated and magazine, also requesting a change of each citizen's posture, of the companies, government and no-government organizations. It brings some concepts, pertinent legislation and information that help to understand the wealth and the potential of sustainability of the biome better.
Evaluation of tin oxide sensor array for on-line assessment of odor annoyance

For 5 years, the department "Environmental Monitoring" of F.U. L. has been trying to assess the ability of lab-made electronic noses to discriminate some environmental odours, if possible directly in the field, and to monitor them continuously. Such an approach should lead to a better understanding of the odor release, by relating it to the process which caused the emission. But the most interesting task of the continuous monitoring of malodor in the field is the real time control of odour abatement techniques. However, among the potential application areas for electronic noses, the monitoring of our environment constitutes a real challenge. In the field of environmental monitoring, the background is an ever-changing chemical mixture against which we want to detect the rise of a particular odor although the exact profile of that rise is unknown and variable [1].
The early Toarcian (Jurassic) anoxic event; stratigraphic, sedimentary and geochemical evidence

Detailed paleogeographic studies in the Southern Alps suggest that an oxygen-minimum model is appropriate for interpreting conditions on Tethyan continental margins. Advection of manganese in this low-oxygen layer may explain the local occurrence of carbonate ores of this element. Carbon-sulfur and iron-sulfur ratios, although showing considerable scatter, suggest that bottom waters at this time were locally euxinic, containing free hydrogen sulfide. This Oceanic Anoxic Event was preceded by significant faunal turnover of ammonites in Tethys and accompanied by widespread extinction of benthos in northern Europe in response to the lateral spread of anoxic bottom waters during transgression. Similar changes may be recognized in other parts of the world. Other anoxic events may have taken place during the Jurassic, but documentation is as yet meagre. Furthermore, models for such phenomena remain largely speculative, although upwelling and increased planktonic productivity, commencing in pre-Toarcian time, are favored for the falciferum-Zone event documented here. -from Author
UvA-DARE ( Digital Academic Repository ) Real-time position reconstruction with hippocampal place cells

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BENTHIC FORAMINIFERAL ASSEMBLAGES IN NATUNA ISLANDS

Natuna Islands cluster consisting of large and small islands which a very diverse ecosystems are occurred, including mangrove, seagrass and coral reefs. These waters can be a conducive habitat for various marine organisms, including foraminifera that can live in all types of waters. Collected foraminifera from a site reflect the relationships between species that are affected by ecological factors and the ability of these organisms adapt to their environment. These organisms are also used in the petroleum and mining line, and studied in the micropaleontology and palaeoecology. Therefore, the data on foraminifera in a marine community, including the waters of Natuna Islands are very important to support the fields. Sampling of this study was conducted in April 2011 in the waters off the coast until the ocean waters covering Bunguran, Subi Besar and Laut Islands. The benthic foraminifera that was collected as abundant in these three waters is symbiont bearing foraminifera, namely Amphistegina lessonii. Keywords: Assemblage, foraminifera, benthic and Natuna
The Effects of Transformational Leadership and Emotional Intelligence of Managers on Organizational Citizenship Behaviors of Employees Ferit ÖLÇER

OCB as a workplace construct attracted special attention in the previous studies as it has been found that OCBs make important contributions to individual, group and organizational effectiveness (Organ, et al., 2006) and help maximize the organizational performance of companies (Organ, 1988; Podsakoff, et al., 2000; Organ and Ryan, 1995). OCBs are all discretionary behaviors that go beyond those measured by formal job evaluations, but are organizationally desirable because of
Identification of Transcription Factors Regulating Senescence in Wheat through Gene Regulatory Network Modelling1[OPEN]

Integrating gene regulatory network modelling during a gene expression time course with publicly available genomic datasets identifies transcription factors regulating senescence. Senescence is a tightly regulated developmental program coordinated by transcription factors. Identifying these transcription factors in crops will provide opportunities to tailor the senescence process to different environmental conditions and regulate the balance between yield and grain nutrient content. Here, we use ten time points of gene expression data along with gene network modeling to identify transcription factors regulating senescence in polyploid wheat (Triticum aestivum). We observe two main phases of transcriptional changes during senescence: early down-regulation of housekeeping functions and metabolic processes followed by up-regulation of transport and hormone-related genes. These two phases are largely conserved with Arabidopsis (Arabidopsis thaliana), although the individual genes underlying these changes are often not orthologous. We have identified transcription factor families associated with these early and later waves of differential expression. Using gene regulatory network modeling, we identified candidate transcription factors that may control senescence. Using independent, publicly available datasets, we found that the most highly ranked candidate genes in the network were enriched for senescence-related functions compared with all genes in the network. We validated the function of one of these candidate transcription factors in senescence using wheat chemically induced mutants. This study lays the groundwork to understand the transcription factors that regulate senescence in polyploid wheat and exemplifies the integration of time-series data with publicly available expression atlases and networks to identify candidate regulatory genes.
Identification of Transcription Factor Networks during Mouse Hindlimb Development

Mammalian hindlimb development involves a variety of cells and the regulation of spatiotemporal molecular events, but regulatory networks of transcription factors contributing to hindlimb morphogenesis are not well understood. Here, we identified transcription factor networks during mouse hindlimb morphology establishment through transcriptome analysis. We used four stages of embryonic hindlimb transcription profiles acquired from the Gene Expression Omnibus database (GSE30138), including E10.5, E11.5, E12.5 and E13.5, to construct a gene network using Weighted Gene Co-expression Network Analysis (WGCNA), and defined seven stage-associated modules. After filtering 7625 hub genes, we further prioritized 555 transcription factors with AnimalTFDB3.0. Gene ontology enrichment showed that transcription factors of different modules were enriched in muscle tissue development, connective tissue development, embryonic organ development, skeletal system morphogenesis, pattern specification process and urogenital system development separately. Six regulatory networks were constructed with key transcription factors, which contribute to the development of different tissues. Knockdown of four transcription factors from regulatory networks, including Sox9, Twist1, Snai2 and Klf4, showed that the expression of limb-development-related genes was also inhibited, which indicated the crucial role of transcription factor networks in hindlimb development.
Mesoscopic in vivo human dataset acquired using quantitative MRI at 7 Tesla

Mesoscopic (0.1-0.5 mm) interrogation of the living human brain is critical for advancing neuroscience and bridging the resolution gap with animal models. Despite the variety of MRI contrasts measured in recent years at the mesoscopic scale, in vivo quantitative imaging of T ∗ 2 has not been performed. Here we provide a dataset containing empirical T ∗ 2 measurements acquired at 0.35 × 0.35 × 0.35 mm 3 voxel resolution using 7 Tesla MRI. To demonstrate unique features and high quality of this dataset, we generate flat map visualizations that reveal finescale cortical substructures such as layers and vessels, and we report quantitative depth-dependent T ∗ 2 (as well as R ∗ 2 ) values in primary visual cortex and auditory cortex that are highly consistent across subjects. This dataset is freely available at https://doi.org/10.17605/OSF.IO/N5BJ7 , and may prove useful for anatomical investigations of the human brain, as well as for improving our understanding of the basis of the T ∗ 2 -weighted (f)MRI signal.