Miracle-dz/UniFAR-FTUs huggingface dataset:
Temperature Extremes from Canadian Regional Climate Model (CRCM) Climate Change Projections

Abstract Future climate projections of extreme events can help forewarn society of high-impact events and allow the development of better adaptation strategies. In this study a non-stationary model for Generalized Extreme Value (GEV) distributions is used to analyze the trend in extreme temperatures in the context of a changing climate and compare it with the trend in average temperatures. The analysis is performed using the climate projections of the Canadian Regional Climate Model (CRCM), under an IPCC SRES A2 greenhouse gas emissions scenario, over North America. Annual extremes in daily minimum and maximum temperatures are analyzed. Significant positive trends for the location parameter of the GEV distribution are found, indicating an expected increase in extreme temperature values. The scale parameter of the GEV distribution, on the other hand, reveals a decrease in the variability of temperature extremes in some continental regions. Trends in the annual minimum and maximum temperatures are compared with trends in average winter and summer temperatures, respectively. In some regions, extreme temperatures exhibit a significantly larger increase than the seasonal average temperatures. The CRCM projections are compared with those of its driving model and framed in the context of the Coupled Model Intercomparison Project, phase 3 (CMIP3) Global Climate Model projections. This enables us to establish the CRCM position within the CMIP3 climate projection uncertainty range. The CRCM is validated against the HadEX2 dataset in order to assess the CRCM representation of temperature extremes in the present climate. The validation is also framed in the context of CMIP3 validation results. The CRCM cold extremes validate better and are closer to the driving model and CMIP3 projections than the hot extremes.
Images of older workers

Managers are confronted with the challenge to support the employ-ability of rapidly aging teams. Drawing on the Communication Ac-commodation Theory (CAT), in two studies we construct and test a conceptual model on communication barriers perceived by managers. More in particular, the model shows how managers’ communication barriers to accommodate older workers’ sustainable employability affects older workers’ job performance and their access to promotion. From a set of qualitatively identified communication barriers, individual-and contextual-level barriers proved to nega-tivelyimpactmanagers’perceptionofolderworkers’jobperformanceandtheintentiontopromoteanolderworker.Thefindingssuggest thataccommodativecommunicationisneededtoovercometheneg-ativespiralofagestereotypesinaworkplacecontext,anddemon-stratetheusefulnessofextendingtheconceptofaccommodation fromrecipients’psychosocialneedstogoal-orientedconversational needsintheworkplace.
Wave setup over a fringing reef with large bottom roughness

AbstractThe effect of bottom roughness on setup dynamics was investigated using high-resolution observations across a laboratory fringing reef profile with roughness elements scaled to mimic the frictional wave dissipation of a coral reef. Results with roughness were compared with smooth bottom runs across 16 offshore wave and still water level conditions. The time-averaged and depth-integrated force balance was evaluated from observations collected at 17 locations along the flume and consisted of cross-shore pressure and radiation stress gradients whose sum was balanced by quadratic mean bottom stresses. The introduction of roughness had two primary effects. First, for runs with roughness, frictional wave dissipation occurred on the reef slope offshore of the breakpoint, reducing wave heights prior to wave breaking. Second, offshore-directed mean bottom stresses were generated by the interaction of the combined wave–current velocity field with the roughness elements. These two mechanisms acted counter to.
Body wave and surface wave analysis of large and great earthquakes along the Eastern Aleutian Arc, 1923–1993: Implications for future events

The 500-km-long Alaska Peninsula and Shumagin Islands segments of the Aleutian arc have a moderate to high probability of rupturing in one or more large or great earthquakes in the next few decades. To understand the likely modes of rupture in the next sequence of large and great events and to delineate the current geometry of the plate interface, we determine focal mechanisms, depths, and source time functions from seismic records for the largest events since 1917: the great earthquake of November 10,1938, and seven events with surface wave magnitude (Ms) of 6.9 to 7.5. Teleseismic body waves and surface waves are used to estimate the seismic moment and gross rupture characteristics of the great earthquake of November 10,1938, along the Alaska Peninsula. Body wave inversion of five P and four SH waves gives a duration of about 110 s in which moment was released in two episodes, each of about 50 s duration, with the second being larger than the first. The first source was located in the general vicinity of the epicenter of the mainshock, and the second, which occurred about 60 s later, was centered about 180 km to the northeast. The body-wave-derived seismic moment is 3.7×1021 N m (Mw 8.3). We corroborate the body wave results by calculating surface waves by normal-mode summation and comparing them with data at periods greater than 50 s. An adequate fit to observed seismograms is obtained for either a single point source or two point sources, with one located about 180 km northeast of the mainshock epicenter. Rupture in 1938 appears to have been confined to the Alaska Peninsula segment; uniform rupture into the Shumagin region is not supported by the data. The Ms 6.9 earthquake of May 13,1993, ruptured a small portion of the Shumagin gap. The earthquake of May 14,1948, (Ms 7.5) occurred on a shallow dipping thrust fault with a depth of about 31 km, not 60 km as originally suggested. Five Ms ∼ 7 events in the 1938 rupture zone have locations, depths, and mechanisms that define a shallow dipping (16°–19°) plate interface which shallows to 8° under Kodiak Island. Subduction of seamounts of the Gulf of Alaska seamount province may explain the location, moment, focal mechanism, and depth of the five Ms ∼ 7 events. The plate interface dips nearly uniformly between the Alaska Peninsula and Shumagin segments, indicating that segmentation, if any, is not controlled by the orientation of the plate interface. A slight warp of the plate interface may form the boundary between rupture zones of great earthquakes along the Kodiak and Alaska Peninsula segments of the arc and may explain why rupture zones of large to great earthquakes rarely cross this tectonic boundary.
Topical niclosamide (ATx201) reduces Staphylococcus aureus colonization and increases Shannon diversity of the skin microbiome in atopic dermatitis patients in a randomized, double-blind, placebo-controlled Phase 2 trial

could lead to testicular dysfunction including spermatogenesis impairment and steroid hormone dysfunction. In particular, the decrease in the testicular global level of 5-methylcytosine (5mC) indicated a possible association of DNA methylation with testicular injury induced by PM 2.5 exposure. Further genome-wide methylation analysis revealed genomic hypomethylation of testicular DNA and identified more than 1000 differentially methylated regions in both CAP and UA versus FA, indicating that PM 2.5 exposure, even low-dose, could modulate the testicular methylome. Furthermore, integrated analysis of methylome and transcriptome identified some key methylated genes and networks, which may be involved in spermatogenesis and synthesis of steroid hormone. The testicular methylation levels of key genes especially Cyp11a1 and Pax8 raised, and their consequent reduced expression may impair the testosterone and sperm production process. Our research provides fundamental knowledge as well as novel insights into the possible involvement of DNA methylation in PM 2.5 -induced male reproductive harm.
Eco-Friendly Products on Seed Invigoration of Rice

Seeds of paddy cv. white ponni were biofortified with two types (young and old leaves) of four different leaf extracts (arappu, moringa, tamarind and prosopis) at three different concentrations (2%, 5% and 10%) and stored under ambient conditions for one month and evaluated for the performance based on seed invigoration and existence of the invigorative effect on short-term storage. The results revealed that seeds fortified with 2% young leaf extract of prosopis recorded 4.4 and 5.0% higher initial germination compared to hydropriming and control with enhanced seedling vigor. On storage, the seeds fortified with 2% prosopis retained the seed and seedling quality characters at higher order.
Some properties of n -quasi- ( m , q ) -isometric operators on a Banach space

: In this paper, we introduced the class of n -quasi-( m , q )-isometric operators on a Banach space. Such a class seems to be a natural generalization of m -isometric operators on Banach spaces and of n -quasi- m -isometric operators on Hilbert spaces. We started by giving some of their elementary properties and studying the products and the power of such operators. Next, we focused on the dynamic of a n -quasi- m -isometry. More precisely, we proved a result by characterizing the supercyclicity of such a class.
Changes in gait angular kinematics of hemiparetic patients After Cerebrovascular Accident

This study aimed to analyze changes in gait angular kinematics of adults with hemiparesis after cerebrovascular accident (CVA). The sample consisted of 17 post-cerebrovascular accident (CVA) patients; and, for gait evaluation, it used a three-dimensional gait trajectory capture system. As for healthy and affected limbs, the variables studied were: speed, maximum angles of flexion, and extension of the hip and knee. For the comparisons between the members, the study used the t -paired test; and, for comparisons with normal values, it used the t test for a sample, whereas, as a decision criterion, the significance level p ≤ 0.05. The results showed, in the comparison between the limbs, significant differences in flexion (0.001) and knee extension (0.05). In the comparison between the affected limb and the healthy one, there is a significant difference in knee flexion angles (<0.000) and hip extension (0.004). Patients with post-CVA hemiparesis present changes in gait angular kinematics when the affected limb is compared with the healthy limb and with normal values. The study observed a predominantly flexor gait pattern, with a considerable variability among the evaluated patients.
: Nutrient interactions and their role in protection from chronic diseases β -Carotene in the human body: metabolic bioactivation pathways – from digestion to tissue distribution and excretion

β -Carotene intake and tissue/blood concentrations have been associated with reduced incidence of several chronic diseases. Further bioactive carotenoid-metabolites can modulate the expression of speci ﬁ c genes mainly via the nuclear hormone receptors: retinoic acid receptor-and retinoid X receptor-mediated signalling. To better understand the metabolic conversion of β -carotene, inter-individual differences regarding β -carotene bioavailability and bioactivity are key steps that determine its further metabolism and bioactivation and mediated signalling. Major carotenoid metabolites, the retinoids, can be stored as esters or further oxidised and excreted via phase 2 metabolism pathways. In this review, we aim to highlight the major critical control points that determine the fate of β -carotene in the human body, with a special emphasis on β -carotene oxygenase 1. The hypothesis that higher dietary β -carotene intake and serum level results in higher β -carotene-mediated signalling is partly questioned. Alternative autoregulatory mechanisms in β -carotene / retinoid-mediated signalling are highlighted to better predict and optimise nutritional strategies involving β - carotene-related health bene ﬁ cial mediated effects. Micellisation
A Uniﬁed Approach to the Design of Interpolated and Frequency-Response-Masking FIR Filters

—We present a uniﬁed approach to minimax design of interpolated and frequency-response-masking FIR ﬁlters which are well-known classes of computationally efﬁcient digital ﬁlter. The highly nonconvex minimax designs of these ﬁlters are carried out by jointly optimizing the subﬁlters involved using a convex-concave procedure (CCP). We explain why CCP is well-suited for the design problems at hand and present two design instances to demonstrate its performance.
Bed Configurations in Steady Unidirectional Water Flows. Part 1. Scale Model Study Using Fine Sands

ABSTRACT Reynolds-Froude scale modeling using hot-water flows to model cold-water flows was applied to the study of unidirectional-flow bed configurations in a large, thermally insulated laboratory flume. Three different water temperatures, ranging from 14 to 75°C, provided three different scale ratios, from 1.1 to 2.3. Effective sand sizes, scaled to 10°C water, were about 0.12 mm, 0.18 mm, and 0.28 mm. Relative to 10°C water, use of hot water multiplied the effective flow depth and all flume dimensions by factors of up to 2.3, the flow velocity by factors of up to 1.5, and the water discharge by factors of up to 8. The effective dimensions of the flume, scaled to 10°C water temperature, ranged up to over 26 m long and 2 m wide, with a flow depth of up to 0.5 m. In the coarser sand sizes (0.17-0.26 mm), three bed phases were observed: ripples, dunes, and upper-regime plane bed. Dunes tended to be two-dimensional (crests straight and continuous) at low flow velocities and three-dimensional (crests sinuous and discontinuous) at relatively high flow velocities, except that at flow velocities transitional between ripples and dunes the bed showed a complex intermingling of irregular larger dunelike bed forms and smaller irregular ripples. In the dune range, ripples were prominently superimposed at relatively low flow velocities but nearly absent at relatively high flow velocities.
31 Apologies, forgiveness and the social perception of emotions

: From a semiotic perspective, expressions of emotions can be considered as a kind of language containing the same types of units and organization as spoken language. As such, expressions of emotions can be seen as explicit and compacted representations of information analogs of speech acts communicating various things about the expresser and/ or the situation. This language consists of a set of relatively distinctive signals, that is, expressions typically recognized by observers as representing a specific emotion. Each expression is associated with specific information about the internal state of the expressers, the way they evaluated the situation and their likely future actions. The interpretation of the meaning of the emotion expression is based on perceivers’ naïve theory of the characteristic antecedents and consequences of specific emotions. However, the interpretation of perceived emotions depends not only on the message contained in the emotion but also on the context in which the expression was observed. This chapter exemplifies the working of this language in the context of apologies, forgiveness and social perception more generally. Specifically, knowing which emotion drove a person’s apology, observers use their naïve knowledge of emotions to decide whether the person should be forgiven or not.
Communications in Nonlinear Science and Numerical Simulation

In soft elastic solids, directional shear waves are in general governed by coupled nonlinear KZK-type equations for the two transverse velocity components, when both quadratic nonlinearity and cubic nonlinearity are taken into account. Here we consider spatially two-dimensional wave fields. We propose a change of variables to transform the equations into a quasi-linear first-order system of partial differential equations. Its numerical resolution is then tackled by using a path-conservative MUSCL-Osher finite volume scheme, which is well-suited to the computation of shock waves. We validate the method against analytical solutions (Green’s function, plane waves). The results highlight the generation of odd harmonics and of second-order harmonics in a Gaussian shear-wave beam. © 2021PublishedbyElsevierB.V.
InSight : Enabling NLOS Classification, Error Correction, and Anchor Selection on Resource-Constrained UWB Devices

The accuracy of ultra-wideband (UWB) ranging is severely affected when the direct path between devices is partly or fully occluded, i.e., in non-line-of-sight (NLOS) conditions. To detect and correct erroneous ranging measurements, many solutions based on machine learning models have been proposed, but they are usually deployed on edge devices rather than on the UWB device itself. In fact, existing works often focus on maximizing the NLOS classification accuracy and error correction performance, which results in large and computationally-complex models that cannot be run on UWB tags with limited processing power and memory. Whilst convenient, off-loading NLOS classification and error correction tasks to an edge device severely affects, among others, the scalability, privacy, and responsiveness of UWB-based localization systems, as tags need to actively exchange data with a third party and wait for its response, which may be delayed due to heavy load or unreliable communication. In this paper, we present InSight : a framework that enables the deployment of NLOS classification and error correction models directly on resource-constrained UWB devices. InSight allows to train and generate such models according to specific requirements (e.g., on memory usage and on runtime), and to shed light on how to reduce the model size and runtime without degrading the classification accuracy and error correction performance. The selected models are then seamlessly integrated into a NLOS engine running on the device alongside existing applications and supporting any localization service. With InSight , we can perform NLOS classification and error correction directly on an UWB tag in 0.6 ms, and with as little as 8 B of RAM and 19 kB of flash memory – while retaining a classification accuracy of up to 86% and reducing the 90th-percentile ranging error by more than 1 m. We further show how a localization service can leverage InSight to select only anchors in direct line-of-sight and to correct erroneous NLOS ranging measurements, which improves the 90th-percentile localization error by up to 1.6 m on our 120 m 2 testbed.
nematodes in capelin Mallotus villosus (Müller, 1776) (Actinopterygii: Osmeridae) caught for food purposes

Capelin Mallotus villosus , a representative of the Osmeridae, is a common species found in the North Atlantic, Pacific and Arctic Ocean. Being one of the main components of the diet of various fish species, it plays an important role in the circulation of different parasite species, including the nematodes of the Anisakidae. Capelin is also extensively caught and used for human food, and has become increasingly available to consumers in Poland. Thirty six capelin specimens, smoked fish bought at a store in Gdynia, were examined for the presence of Anisakidae. Ten specimens of nematode ( Anisakis simplex , Contracaecum sp.) were found in eight fish. The overall prevalence for the fish was 22.2%, with a mean intensity of 1.3 (range 1–3). Despite its widespread acquisition and use, capelin has been the subject of few parasitological analyses. Our findings indicate that it is a typical host of Anisakidae nematodes, a species of great zoonotic importance. While dead nematode specimens found in smoked fish do not pose a direct threat to humans as parasites per se, they can cause food allergies. It seems, therefore, that fish intended for consumption should be the subject of constant parasitological monitoring, linked to food quality control.
Ligand Recognition by the Macrophage Galactose-Type C-Type Lectin: Self or Non-Self?—A Way to Trick the Host’s Immune System

The cells and numerous macromolecules of living organisms carry an array of simple and complex carbohydrates on their surface, which may be recognized by many types of proteins, including lectins. Human macrophage galactose-type lectin (MGL, also known as hMGL/CLEC10A/CD301) is a C-type lectin receptor expressed on professional antigen-presenting cells (APCs) specific to glycans containing terminal GalNAc residue, such as Tn antigen or LacdiNAc but also sialylated Tn antigens. Macrophage galactose-type lectin (MGL) exhibits immunosuppressive properties, thus facilitating the maintenance of immune homeostasis. Hence, MGL is exploited by tumors and some pathogens to trick the host immune system and induce an immunosuppressive environment to escape immune control. The aims of this article are to discuss the immunological outcomes of human MGL ligand recognition, provide insights into the molecular aspects of these interactions, and review the MGL ligands discovered so far. Lastly, based on the human fetoembryonic defense system (Hu-FEDS) hypothesis, this paper raises the question as to whether MGL-mediated interactions may be relevant in the development of maternal tolerance toward male gametes and the fetus.
Exploring the bayesian hierarchical approach for the statistical modeling of spatial structures: application in population ecology

For most ecological questions, the random processes studied are spatially structured and come from the combined effect of several observed or unobserved random variables interacting at various scales. In practice, when data can't be directly treated with traditional spatial structures, observations are often considered as independent. Moreover, the usual models are often based on hypotheses that are too simple with regards to the complexity of the studied phenomena. In the present work, the hierarchical modelling framework is combined with some spatial statistics tools to build specific functional random structures for complex and spatially structured phenomena in population ecology. Model inference is done under the bayesian framework using MCMC algorithms. In the first part, a spatial hierarchical model (called Geneclust) is developed to identify genetically homogeneous populations when genetic diversity varies continuously in space. A hidden Markov random field, used to model the spatial structure of genetic diversity, is combined with a bivariate model for the occurrence of genotypes to take into account the possible occurrence of inbreeding in some natural populations. In the second part of the thesis, a particular compound Poisson process, called law of leaks, is presented from the hierarchical point of view. The goal was to describe the process of sampling living organisms. This approach explicitly confronts the technical issue of modelling continuous zero-inflated data from sampling characterized many zero values and variable sampling effort. This model is combined with different area-based models to add spatial dependencies between geographical units then with a bivariate gaussian random field built by process convolutions to model the joint spatial distribution of two species. The fitting and predictive capacities of the different hierarchical models are compared to the traditional models from simulated and real data (Scandinavian brown bears, epibenthic invertebrates in Saint-Lawrence Gulf (Canada)