Miracle-dz/UniFAR-FTUs huggingface dataset:
Nucleolar GTP-Binding Protein 1-2 (NOG1-2) Interacts with Jasmonate-ZIMDomain Protein 9 (JAZ9) to Regulate Stomatal Aperture during Plant Immunity

Plant defense responses at stomata and apoplast are the most important early events during plant–bacteria interactions. The key components of stomatal defense responses have not been fully characterized. A GTPase encoding gene, NOG1-2, which is required for stomatal innate immunity against bacterial pathogens, was recently identified. Functional studies in Arabidopsis revealed that NOG1-2 regulates guard cell signaling in response to biotic and abiotic stimulus through jasmonic acid (JA)- and abscisic acid (ABA)-mediated pathways. Interestingly, in this study, Jasmonate-ZIM-domain protein 9 (JAZ9) was identified to interact with NOG1-2 for the regulation of stomatal closure. Upon interaction, JAZ9 reduces GTPase activity of NOG1-2. We explored the role of NOG1-2 binding with JAZ9 for COI1-mediated JA signaling and hypothesized that its function may be closely linked to MYC2 transcription factor in the regulation of the JA-signaling cascade in stomatal defense against bacterial pathogens. Our study provides valuable information on the function of a small GTPase, NOG1-2, in guard cell signaling and early plant defense in response to bacterial pathogens.
Attitudes of health care professionals toward people with intellectual disability: a comparison with the general population

BACKGROUND Few studies have examined attitudes that may promote the social inclusion of persons with an intellectual disability (ID) among health care providers (HCPs). Yet these attitudes could impact the accessibility and quality of services provided to this population, as well as the general attitudes of HCPs. The objectives of this study were to (1) examine HCPs' pro-inclusion attitudes toward people with ID, (2) compare these to the general population's attitudes and (3) examine how HCPs' attitudes vary as a function of their socio-demographic characteristics. METHOD The Attitudes Toward Intellectual Disability Questionnaire was administered to 367 HCPs and a representative sample of the Québec population (N = 1605). RESULTS Results indicated that at least half of HCPs displayed positive attitudes, that is, attitudes that are compatible with notions of social inclusion and equal rights, toward individuals with ID. Positive attitudes were less frequently observed for the Interaction and the Sensitivity or tenderness factors measured by the Attitudes Toward Intellectual Disability Questionnaire. In comparison with the general population, HCPs exhibited more positive attitudes on the Knowledge of causes and Sensitivity or tenderness factors and less positive attitudes on the Interaction factor. HCPs who regarded themselves as more knowledgeable about ID and those who reported higher quality contacts or interactions with persons with ID expressed attitudes that were more favourable toward social inclusion. CONCLUSIONS In addition to providing general knowledge about ID and the specific health care needs of individuals with ID, training programmes should also promote interactions with this population. Further studies are needed to document HCPs' pro-inclusion attitudes toward people with ID and to assess the impact of interventions on these attitudes.
A system-based analysis of the genetic determinism of udder conformation and health phenotypes across three French dairy cattle breeds

Using GWAS to identify candidate genes associated with cattle morphology traits at a functional level is challenging. The main difficulty of identifying candidate genes and gene interactions associated with such complex traits is the long-range linkage disequilibrium (LD) phenomenon reported widely in dairy cattle. Systems biology approaches, such as combining the Association Weight Matrix (AWM) with a Partial Correlation in an Information Theory (PCIT) algorithm, can assist in overcoming this LD. Used in a multi-breed and multi-phenotype context, the AWM-PCIT could aid in identifying udder traits candidate genes and gene networks with regulatory and functional significance. This study aims to use the AWM-PCIT algorithm as a post-GWAS analysis tool with the goal of identifying candidate genes underlying udder morphology. We used data from 78,440 dairy cows from three breeds and with own phenotypes for five udder morphology traits, five production traits, somatic cell score and clinical mastitis. Cows were genotyped with medium (50k) or low-density (7 to 10k) chips and imputed to 50k. We performed a within breed and trait GWAS. The GWAS showed 9,830 significant SNP across the genome (p < 0.05). Five thousand and ten SNP did not map a gene, and 4,820 SNP were within 10-kb of a gene. After accounting for 1SNP:1gene, 3,651 SNP were within 10-kb of a gene (set1), and 2,673 significant SNP were further than 10-kb of a gene (set2). The two SNP sets formed 6,324 SNP matrix, which was fitted in an AWM-PCIT considering udder depth/ development as the key trait resulting in 1,013 genes associated with udder morphology, mastitis and production phenotypes. The AWM-PCIT detected ten potential candidate genes for udder related traits: ESR1, FGF2, FGFR2, GLI2, IQGAP3, PGR, PRLR, RREB1, BTRC, and TGFBR2.
Surface Nanostructuring of Parylene-C Coatings for Blood Contacting Implants

This paper investigates the effects on the blood compatibility of surface nanostructuring of Parylene-C coating. The proposed technique, based on the consecutive use of O2 and SF6 plasma, alters the surface roughness and enhances the intrinsic hydrophobicity of Parylene-C. The degree of hydrophobicity of the prepared surface can be precisely controlled by opportunely adjusting the plasma exposure times. Static contact angle measurements, performed on treated Parylene-C, showed a maximum contact angle of 158°. The nanostructured Parylene-C retained its hydrophobicity up to 45 days, when stored in a dry environment. Storing the samples in a body-mimicking solution caused the contact angle to progressively decrease. However, at the end of the measurement, the plasma treated surfaces still exhibited a higher hydrophobicity than the untreated counterparts. The proposed treatment improved the performance of the polymer as a water diffusion barrier in a body simulating environment. Modifying the nanotopography of the polymer influences the adsorption of different blood plasma proteins. The adsorption of albumin—a platelet adhesion inhibitor—and of fibrinogen—a platelet adhesion promoter—was studied by fluorescence microscopy. The adsorption capacity increased monotonically with increasing hydrophobicity for both studied proteins. The effect on albumin adsorption was considerably higher than on fibrinogen. Study of the proteins simultaneous adsorption showed that the albumin to fibrinogen adsorbed ratio increases with substrate hydrophobicity, suggesting lower thrombogenicity of the nanostructured surfaces. Animal experiments proved that the treated surfaces did not trigger any blood clot or thrombus formation when directly exposed to the arterial blood flow. The findings above, together with the exceptional mechanical and insulation properties of Parylene-C, support its use for packaging implants chronically exposed to the blood flow.
Long‐Term Mortality of Older Patients With Acute Myocardial Infarction Treated in US Clinical Practice

Background There is limited information about the long‐term survival of older patients after myocardial infarction (MI). Methods and Results CRUSADE (Can rapid risk stratification of unstable angina patients suppress adverse outcomes with early implementation of the ACC/AHA guidelines) was a registry of MI patients treated at 568 US hospitals from 2001 to 2006. We linked MI patients aged ≥65 years in CRUSADE to their Medicare data to ascertain long‐term mortality (defined as 8 years post index event). Long‐term unadjusted Kaplan–Meier mortality curves were examined among patients stratified by revascularization status. A landmark analysis conditioned on surviving the first year post‐MI was conducted. We used multivariable Cox regression to compare mortality risks between ST‐segment–elevation myocardial infarction and non–ST‐segment–elevation myocardial infarction patients. Among 22 295 MI patients ≥ age 65 years (median age 77 years), we observed high rates of evidence‐based medication use at discharge: aspirin 95%, β‐blockers 94%, and statins 81%. Despite this, mortality rates were high: 24% at 1 year, 51% at 5 years, and 65% at 8 years. Eight‐year mortality remained high among patients who underwent percutaneous coronary intervention (49%), coronary artery bypass graft (46%), and among patients who survived the first year post‐MI (59%). Median survival was 4.8 years (25th, 75th percentiles 1.1, 8.5); among patients aged 65–74 years it was 8.2 years (3.3, 8.9) while for patients aged ≥75 years it was 3.1 years (0.6, 7.6). Eight‐year mortality was lower among ST‐segment–elevation myocardial infarction than non–ST‐segment–elevation myocardial infarction patients (53% versus 67%); this difference was not significant after adjustment (hazard ratio 0.94, 95% confidence interval, 0.88–1.00). Conclusions Long‐term mortality remains high among patients with MI in routine clinical practice, even among revascularized patients and those who survived the first year.
Smart Sensing of Pavement Temperature Based on Low-Cost Sensors and V2I Communications

Nowadays, the preservation, maintenance, rehabilitation, and improvement of road networks are key issues. Pavement condition is highly affected by environmental factors such as temperature and humidity, hence the importance of building databases enriched with real-time information from monitoring systems that enable the analysis and modeling of the road properties. Information and communication technologies, and specifically wireless sensor networks and computational intelligence methods, are enabling the design of new monitoring systems. The main goal of this work is the design of a pavement monitoring system for measuring temperature at internal layers. The proposed solution is based on low-cost and robust temperature sensors, vehicle-to-infrastructure communications, allowing one to transmit information directly from probes to a moving auscultation vehicle, and a neural network-based model for prediction pavement temperature. User requirements drive probes’ design to a modular device, with easy installation, low cost, and reduced energy consumption. Results of the test and validation experiments show both the benefits and viability of the proposed system, which reflect in an accuracy improvement and reduction in routine test duration. Finally, data collected over a year is applied to assess the performance of BELLS3 models and the suggested neural network for predicting pavement temperature. The dynamic behavior of the predicted temperature and the mean absolute error of the neural network-based model are better than the BELL3 model, demonstrating the suitability of the proposed pavement monitoring system.
Non-randomized controlled trial of the long-term efficacy of an Ecohealth intervention against Chagas disease in Yucatan, Mexico

Non-domiciliated intrusive triatomine vectors are responsible for a low but significant transmission of Trypanosoma cruzi to humans. Their control is a challenge as insecticide spraying is of limited usefulness, and alternative strategies need to be developed for a sustainable control. We performed a non-randomized controlled trial of an Ecohealth intervention based on window insect screens and community participation to reduce house infestation by Triatoma dimidiata in two rural villages in Yucatan, Mexico. Efficacy of the intervention was measured over a three years follow-up period and entomological indicators showed that the proportion of triatomines found inside houses was significantly reduced in houses with insect screens, which effectively kept more bugs on the outside of houses. Using a previously developed model linking entomological data to the prevalence of infection in human, we predicted that the intervention would lead to a 32% reduction in yearly incidence and in the prevalence of T. cruzi infection. The cost for the coverage of all the windows of a house was of comparable magnitude to what families currently spend on various domestic insecticide, and most screens were still in good conditions after three years. In conclusion, the Ecohealth approach proposed here is effective for the long-term and sustainable control of intrusive T. dimidiata vectors in the Yucatan peninsula, Mexico. This strategy may also be easily adapted to other intrusive triatomine species as well as other regions/countries with comparable eco-epidemiological settings, and would be an excellent component of a larger integrated program for the control of a variety of other vector-borne diseases, bringing additional benefits to the communities. Our results should encourage a further scaling-up of our implementation strategy in additional villages in the region.
Research Fiction and Thought Experiments in Design

Any design process involves an imaginative act, a picturing of the world as other than it is. Fiction has long played a part in design research in the form of scenarios, personas, sketches, paper based prototypes, simulations, prototypes and speculative design. The term “design fiction” has been recently adopted to describe more elaborate and detailed representations of products and services that do not exist yet. Design fiction is an emerging practice and there are several competing definitions and forms. This article traces design fiction from the Italian radical design of the 1960s through British Art Schools in the late nineteen nineties to contemporary adaptations of the practice by companies like Google, Microsoft and Facebook. Design fiction is now produced regularly by individuals launching Kickstarter campaigns, corporations selling visions of future products and governments imagining new digital services. But there is little agreement about the status of such fictions: what constitutes a good fiction? How does fiction relate to research? In what sense does fiction contribute to existing knowledge? Although fiction can sometimes result in accurate prediction this is not its main value. It is rather the creation of ambiguous artefacts that help us think carefully about emerging technologies and their potential impact. Although fiction may seem to be the antithesis of empirical enquiry it is often employed in the form of “thought experiments” in Physics, Mathematics, Ethics and Philosophy. This article argues that design fiction can also be considered as a form of thought experiment. Excerpts from a fictional Wikipedia article about Valdis Ozols, a Lativian Historian and author writing design fiction in the 1940s precede each section as think pieces about the nature and value of fiction. The text is illustrated with pages from a fictional design workbook written in an invented language.
The impact of EV battery cycle life on charge-discharge optimization in a V2G environment

In addition to improving the ground transport and the environment through reduced greenhouse gas emissions, Electric vehicles (EVs) can support a number of power grid services through the Vehicle to Grid (V2G) system. If properly integrated, EVs can help in integrating renewable energy sources, providing various demand response and ancillary services. There are a number of challenges that should be addressed before EVs can effectively provide these services. The main challenge is the availability of power from EVs. This challenge is related to the EV battery capacity, the available power at the time of need and the battery cycle life. Battery cycle life is inversely proportional to the number of charge-discharge cycles the battery goes through. Therefore, the battery cycle life and the cost of degradation should carefully be included when optimizing the V2G operation. In this paper, we develop a novel iterative algorithm to predict the effect of static and dynamic electricity and regulation prices on the battery cycle life. We optimize the charge-discharge process by considering frequency regulation signals, the day ahead real time pricing and the predicted cycle life. We develop a case study for the charge scheduling problem using actual frequency regulation and hourly electricity pricing.
Proteomics identification and characterization of MbovP730 as a potential DIVA antigen of Mycoplasma bovis

Mycoplasma bovis (M. bovis) is an important pathogen of cattle. An attenuated live vaccine has recently been developed by this laboratory. However, an effective assay for the differentiation of infected from vaccinated animals (DIVA) is still lacking. Therefore, a comparative immunoproteomics study of the membrane and membrane associated proteins (MAPs) of M. bovis HB0801 and its attenuated strain (M. bovis-150) was aimed to identify potential antigens for DIVA assay. Triton-X-114 fractionated liposoluble proteins of both the virulent and attenuated strains were separated with 2-DE and proteins reacting with sera against the virulent M. bovis strain were detected by MS. A total of 19 differently expressed proteins were identified by MS, among them twelve proteins were detected by MALDI-TOF MS and seven antigenic proteins were identified by short-gun LC-MS/MS. Furthermore, these findings were confirmed at mRNA level by qRT-PCR. The results demonstrated that a putative lipoprotein encoded by functionally unknown gene Mbov_0730 (MbovP730) is a sensitive and specific antigen for DIVA assay. MbovP730 is absent in M. bovis-150 confirmed with Western blot assay and also didn’t cross-react with other antisera against common pathogens including infectious bovine rhinotracheitis virus and bovine viral diarrhea virus by iELISA. Thereby rMbovP730-based iELISA was established. For clinical samples, this ELISA provided a sensitivity of 95.7% (95% CI: 90.4%, 98.2%) and specificity was 97.8% (95% CI: 88.4%, 99.6%). Antisera from vaccinated calves (n = 44) were found negative with rMbovP730 based iELISA, while positive with assays based on whole cell proteins of M. bovis-150 and M. bovis HB0801, respectively. In conclusion, this study identified the differential antigen MbovP730 between virulent and attenuated strains and established rMbovP730-based iELISA as a new DIVA method.
Energy and Latency Control for Edge Computing in Dense V2X Networks

This study focuses on edge computing in dense millimeter wave vehicle-to-everything (V2X) networks. A control problem is formulated to minimize the energy consumption under delay constraint resulting from vehicle mobility. A tractable algorithm is proposed to solve this problem by optimizing the offloaded computing tasks and transmit power of vehicles and road side units. The proposed dynamic solution can well coordinate the interference without requiring global channel state information, and makes a tradeoff between energy consumption and task computing latency.
Hierarchical image matching algorithm based on SIFT

In this paper, an algorithm for a robust template matching method based on the combination of the wavelet transform method and scale-invariant feature transform (SIFT) is proposed. Discrete wavelet transform is done firstly on a reference image and a template image, and low frequency parts of them are extracted, then we use Harris corner detection to detect the interesting point in low frequency parts of them to determine the matching candidate region of template image in reference image, extracting SIFT features on the matching candidate region and template image, The extracted SIFT features are matched by k-d tree and bidirectional matching strategy, then we exploited the information from SIFT to comprise matching constraint and use them to get more correct matches. Experiment show that, the algorithm can improve the accuracy of matching.
Resource-saving replication for controllers in multi controller SDN against network failures

Software-defined networking (SDN) develops a logically centralized control plane from the data plane, which makes the network management more intelligent. As the network becomes larger, the control plane with one controller can no longer manage the network efficiently. Therefore, multiple controllers are needed to manage the network. However, the survivability has been a key challenge in multi-controller SDN, which is sensitive to the controller failures. Once the controller breaks down, the switches will lose connections to the controller. This leads to severe consequences. In this regard, we propose an approach to improve fault tolerance of network in face of controller failures. In our work, we also attach great importance to the survivability of connections between controller and switch under random-link failures. Propagation delay is considered in our approach. Simulation results show that our approach guarantees that the controller failures can be effectively recovered. Moreover, after the controller failure is recovered, the survivability of multi-controller SDN in face of random-link failures can be improved.
Ranking based boosted multiple kernel learning for activity recognition on first-person videos

In this paper, we investigate fusion of different types of classifiers for activity recognition on first-person videos in a data-driven approach. The algorithm first uses the classifiers, which are composed of kernel and descriptor combinations, through well-known AdaBoost trials. After all trials, classifiers are ordered and assigned ranks with respect to their performances in each trial separately. These classifiers compose a candidate list according to their performance ranks. Classifiers in the candidate list are employed together on the training set again. Classifiers in most successful candidate lists are combined as final classifiers. Our experiments show improvements in recognition comparison to traditional methods.
A Genomic Map of Climate Adaptation in Arabidopsis thaliana at a Micro-Geographic Scale

Understanding the genetic bases underlying climate adaptation is a key element to predict the potential of species to face climate warming. Although substantial climate variation is observed at a micro-geographic scale, most genomic maps of climate adaptation have been established at broader geographical scales. Here, by using a Pool-Seq approach combined with a Bayesian hierarchical model that control for confounding by population structure, we performed a genome–environment association (GEA) analysis to investigate the genetic basis of adaptation to six climate variables in 168 natural populations of Arabidopsis thaliana distributed in south-west of France. Climate variation among the 168 populations represented up to 24% of climate variation among 521 European locations where A. thaliana inhabits. We identified neat and strong peaks of association, with most of the associated SNPs being significantly enriched in likely functional variants and/or in the extreme tail of genetic differentiation among populations. Furthermore, genes involved in transcriptional mechanisms appear predominant in plant functions associated with local climate adaptation. Globally, our results suggest that climate adaptation is an important driver of genomic variation in A. thaliana at a small spatial scale and mainly involves genome-wide changes in fundamental mechanisms of gene regulation. The identification of climate-adaptive genetic loci at a micro-geographic scale also highlights the importance to include within-species genetic diversity in ecological niche models for projecting potential species distributional shifts over short geographic distances.