Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying Static Mobility Model in Relaying Network Organization in Mini-UAVs Based FANET

Flying Ad-hoc Network (FANET) represents a subcategory of Mobile Ad-hoc Network (MANET) formed by a swarm of Unmanned Aerial Vehicles (UAVs). Mobility models generating the pathways of mini-UAVs in a flying session serve as the basis for creating a realistic simulation environment. The article deals with the static mobility model describing UAVs communication infrastructure in a relaying network. The research method used was simulation modeling based on NS-2 network simulator. The BonnMotion utility which creates, analyses and exports mobility scenarios into different network simulators was used to generate nodes movement for different mobility models. The network was developed according to the simulation model and its characteristics were specified using the AODV and OLSR routing protocols. Communication density, transmission range and connectivity characteristics in FANET were the aims of the current research.
Soybean meal substitution by dehulled lupine (Lupinus angustifolius) with enzymes in broiler diets

Objective Evaluate the effects of i) dehulling of lupine seed on chemical composition and apparent metabolizable energy (AME) and ii) soybean meal substitution by dehulled lupine seed in broiler diets with enzymes on productive performance, size of digestive organs and welfare-related variables. Methods Experiment 1, chemical composition and AME were determined in whole and dehulled lupine seed. Experiment 2, two hundred eighty-eight one-day-old male Ross 308 broilers were used. The experimental diets were maize-soybean meal (MS), MS with enzymes (MSE) and maize-dehulled lupine seed with enzymes (MLE). Diets were assigned to the experimental units under a completely randomized design (eight replicates per diet). The body weight (BW) gain, feed intake, feed conversion, digestive organ weights, gait score, latency to lie down and valgus/varus angulation were evaluated. Results The dehulling process increased protein (25.0% to 31.1%), AME (5.9 to 8.8 MJ/kg) and amino acid contents. The BW gain of broilers fed the MLE diet was similar (p>0.05) to that of those fed the MS diet, but lower than that of those fed the MSE diet. Feed intake of broilers fed the MLE diet was higher (p<0.05) than that of those fed the MS diet and similar (p>0.05) to those fed the MSE diet. Feed conversion of broilers fed the MLE diet was 8.0% and 8.7% higher (p<0.05) than that of those fed the MS and MSE diets, respectively. Broilers fed the MLE diet had the highest (p<0.05) relative proventriculus and gizzard weights, but had poor welfare-related variables. Conclusion It is possible to substitute soybean meal by dehulled lupine seed with enzymes in broiler diets, obtaining similar BW gains in broilers fed the MLE and MS diets; however, a higher feed intake is required. Additionally, the MLE diet reduced welfare-related variables.
Reloc — An Open-Source Vivado Workflow for Generating Relocatable End-User Configuration Tiles

As programmable logic is conquering data centers, FPGA resources become a ubiquitously available commodity available through the cloud. In these ecosystems, their employment must advance to fit the role of a dynamically managed, shared resource within multi-user environments. Programmable hardware vendors provide engineering workflows that only start to acknowledge the requirements of this thriving application context, which makes resource regularization, design migratability and isolated execution imperatives. Quite a few academic efforts have aimed at the key technique of design relocation on top of the vendor-provided workflows. Regularly, critical shortcomings remain and, in all cases, the engineering procedure is ridiculously complex. This paper identifies the significant gaps left by previous approaches and describes a thoroughly automated workflow for building a system infrastructure on FPGA that makes it a resource that is manageable by the OS. It highlights an end-to-end workflow to enable (a) the out-of-context synthesis of end-user designs against a thin module interface defined by appropriate synthesis constraints, which are (b) universally employable to all the user slots provisioned on an appropriately partitioned device without re-synthesis and (c) will operate there appropriately isolated merely communicating to the user host application through privately allocated communication channels.
An Over View of Dermatophytosis in Rabbits

Dermatophytosis is a fungal infection of the skin caused by dermatophytes-filamentous fungi which have ability to invade the epidermis and keratinized structure derived from it such as hair or nails. Rabbits are one of dermatophytes host; young rabbit below 12 months of age were more frequently affected with the disease. T. mentagrophytes is the most common dermatophytes isolated species. The disease can be diagnosed by direct examination, fungal culture, skin biopsy sero and molecular diagnosis methods. This overview forecast more light of the different aspects of this disease.
Role of platelet α2-adrenoreceptor in biological low response to Clopidogrel for patients with non cardioembolic ischemic stroke or transient ischemic attack.

BACKGROUND AND PURPOSE Low biological response to Clopidogrel prescribed after non cardioembolic ischemic stroke or transient ischemic attack (TIA) is a major clinical problem and could explain the recurrence of vascular events. Platelet α2-adrenoreceptors are involved in the high residual platelet reactivity in stable coronary artery disease patients on dual antiplatelet therapy. In the present study we investigated the impact of platelet α2-adrenoreceptors on ADP-induced platelet aggregation and on ADP-induced platelet membrane CD62P (P-selectin) expression, a marker of platelet activation on blood samples from patients hospitalized at the acute phase of a non cardioembolic ischemic stroke or TIA. METHODS 72 consecutive patients were prospectively recruited over the course of two years in a monocentric study. Patients received a daily 75 mg-dose of Clopidogrel. ADP-induced platelet aggregation was measured alone, with low dose epinephrine or with atipamezole, a selective α blocker of α2-adrenoreceptors, by Light Transmittance Aggregometry (LTA). Platelet membrane expression of P-selectin was measured by flow cytometry with either ADP alone or combined with epinephrine. RESULTS Epinephrine at low dose stimulated ADP-induced platelet membrane expression of CD62P whereas Atipamezole significantly inhibited 10 µM ADP-induced platelet aggregation. CONCLUSIONS Our study showed the role of platelet α2-adrenoreceptors in biological low response to Clopidogrel for patients hospitalized for a non-cardioembolic ischemic stroke or TIA. Atipamezole could improve the status of biological response to Clopidogrel.
Dispositional Perspective-Taking and Empathic Concern Modulate the Impact of Cognitive Load on Empathy for Facial Emotions

Meeting other people involves the importance to share their experiences and to understand their perspectives or, more simply, to empathize with them. Empathy research distinguishes two main dimensions of empathy, the affective sharing and the cognitive understanding. In the present study, we focus on the impact of cognitive load on empathy to pain, fear, happiness, and neutral facial emotions. Participants had to judge the intensity of the emotion when looking to facial expressions (empathize group), or with an additional eight-digit memory task (cognitive load group). While we assumed that cognitive load would reduce empathy, inconsistently with previous findings, our results did not show any significant effect of group. Interestingly, regression analyses showed that perspective-taking and empathic concern were positively related to pain, fear, and happiness ratings within the cognitive load group. These results reveal that when judging empathy under high cognitive load, dispositional empathic concern and perspective-taking could allow individuals to override the supposed deleterious cognitive load effect on empathy.
Monitoring Data Integrity in Big Data Analytics Services

Enabled by advances in Cloud technologies, Big Data Analytics Services (BDAS) can improve many processes and identify extra information from previously untapped data sources. As our experience with BDAS and its benefits grows and technology for obtaining even more data improves, BDAS becomes ever more important for many different domains and for our daily lives. Most efforts in improving BDAS technologies have focused on scaling and efficiency issues. However, an equally important property is that of security, especially as we increasingly use public Cloud infrastructures instead of private ones. In this paper we present our approach for strengthening BDAS security by modifying the popular Spark infrastructure so as to monitor at run-time the integrity of data manipulated. In this way, we can ensure that the results obtained by the complex and resource-intensive computations performed on the Cloud are based on correct data and not data that have been tampered with or modified through faults in one of the many and complex subsystems of the overall system.
End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space

We hypothesize that end-to-end neural image captioning systems work seemingly well because they exploit and learn ‘distributional similarity’ in a multimodal feature space, by mapping a test image to similar training images in this space and generating a caption from the same space. To validate our hypothesis, we focus on the ‘image’ side of image captioning, and vary the input image representation but keep the RNN text generation model of a CNN-RNN constant. Our analysis indicates that image captioning models (i) are capable of separating structure from noisy input representations; (ii) experience virtually no significant performance loss when a high dimensional representation is compressed to a lower dimensional space; (iii) cluster images with similar visual and linguistic information together. Our experiments all point to one fact: that our distributional similarity hypothesis holds. We conclude that, regardless of the image representation, image captioning systems seem to match images and generate captions in a learned joint image-text semantic subspace.
Cost Optimization Algorithms for Hot and Cool Tiers Cloud Storage Services

In this paper, we consider the data placement problem in the new generation tiered cloud storage services offering hot and cool tiers that are characterized by differentiated Quality of Service (i.e, access latency, availability and throughput) and the corresponding storage and access costs. Given a sequence of read and write requests for an object, we propose an optimal off-line dynamic programming based algorithm to determine the optimal placement of an object in the hot or cool tier and the potential transfer of the object between the tiers in order to minimize the monetary cost comprised of storage and access costs. Additionally, we propose two practical online object placement algorithms that assume no knowledge of future data access. The first online cost optimization algorithm uses no replication (NR) and initially places the object in the hot tier then based on read/write access pattern it may decide to move it to the cool tier to optimize the storage service cost. The second algorithm with replication (WR) initially places the object in the cool tier then it replicates it in the hot tier upon receiving read/write requests. Using a real Twitter workload and a 2-tier storage service pricing, the experimental evaluation shows that the proposed algorithms yield significant cost savings compared to storing data in the hot tier all the time.
Inferring social media users' demographics from profile pictures: A Face++ analysis on twitter users

In this research, we evaluate the applicability of using facial recognition of social media account profile pictures to infer the demographic attributes of gender, race, and age of the account owners leveraging a commercial and well-known image service, specifically Face++. Our goal is to determine the feasibility of this approach for actual system implementation. Using a dataset of approximately 10,000 Twitter profile pictures, we use Face++ to classify this set of images for gender, race, and age. We determine that about 30% of these profile pictures contain identifiable images of people using the current state-of-the-art automated means. We then employ human evaluations to manually tag both the set of images that were determined to contain faces and the set that was determined not to contain faces, comparing the results to Face++. Of the thirty percent that Face++ identified as containing a face, about 80% are more likely than not the account holder based on our manual classification, with a variety of issues in the remaining 20%. Of the images that Face++ was unable to detect a face, we isolate a variety of likely issues preventing this detection, when a face actually appeared in the image. Overall, we find the applicability of automatic facial recognition to infer demographics for system development to be problematic, despite the reported high accuracy achieved for image test collections.
On the Possible Use of Geophysical Cybernetics in Climate Manipulation ( Geoengineering ) and Weather Modification

Geophysical cybernetics is a new research area that studies the geophysical processes and phenomena using cybernetic methods and approaches. A mathematical formulation of the problem of optimal control of the geophysical system is presented from the standpoint of geophysical cybernetics. Further, the essential features of the geophysical system as a control object are considered. The optimal control problem for the large scale atmospheric dynamics is considered and the necessary optimality conditions are derived. Key-Words: geophysical cybernetics, geophysical system, optimal control, atmospheric dynamics, weather modification, geoengineering.
Simulating Collaborative Learning through Decision-Theoretic Agents

Simulation for team training has a long history of success in medical care and emergency response. In fields where individuals work together to make decisions and perform actions under extreme time pressure and risk (as in military teams), simulations offer safe and repeatable environments for teams to learn and practice without real-world consequences. In our team-based training simulation, we use intelligent agents to represent individual learners and to autonomously generate behavior while learning to perform a joint task. Our agents are built upon PsychSim, a social-simulation framework that uses decision theory to provide domain-independent, quantitative algorithms for representing and reasoning about uncertainty and conflicting goals. We present a collaborative learning testbed in which two PsychSim agents performed a joint “capture-the-flag” mission in the presence of an enemy agent. The testbed supports a reinforcement-learning capability that enables the agents to revise their decision-theoretic models based on their experiences in performing the target task. We can “train” these agents by having them repeatedly perform the task and refine their models through reinforcement learning. We can then “test” the agents by measuring their performance once their learning has converged to a final policy. Repeating this train-and-test cycle across different parameter settings (e.g., priority of individual vs. team goals) and learning configurations (e.g., train with the same teammate vs. train with different teammates) yields a reusable methodology for characterizing the learning outcomes and measuring the impact of such variations on training effectiveness.
NASA / TP-2004-212046 Flight Test Results for the F-16 XL With a Digital Flight Control System

In the early 1980s, two F-16 airplanes were modified to extend the fuselage length and incorporate a large area delta wing planform. These two airplanes, designated the F-16XL, were designed by the General Dynamics Corporation (now Lockheed Martin Tactical Aircraft Systems) (Fort Worth, Texas) and were prototypes for a derivative fighter evaluation program conducted by the United States Air Force. Although the concept was never put into production, the F-16XL prototypes provided a unique planform for testing concepts in support of future high-speed supersonic transport aircraft. To extend the capabilities of this testbed vehicle the F-16XL ship 1 aircraft was upgraded with a digital flight control system. The added flexibility of a digital flight control system increases the versatility of this airplane as a testbed for aerodynamic research and investigation of advanced technologies. This report presents the handling qualities flight test results covering the envelope expansion of the F-16XL with the digital flight control system. NOMENCLATURE CHR Cooper–Harper rating dep pitch stick input DFLCS digital flight control system FFT fast Fourier transform acceleration of gravity HUD head-up display K thousands of feet, altitude KCAS knots calibrated airspeed LEF leading edge flaps LOES lower order equivalent system dimensional lift curve slope, sec -1 MIL-STD military standard normal load, g PIO pilot induced oscillation specific excess power, ft/sec q pitch rate, deg/sec dynamic pressure, psi S slope, dB VCAS calibrated airspeed, kn true velocity, ft/sec α angle of attack, deg g
RAPID RISK ASSESSMENT Risk assessment of seasonal influenza, EU/EEA, 2016/2017

This season, influenza viruses, mainly A(H3N2), began circulating early in the EU/EEA. It is too early to anticipate the intensity in primary care and severity in secondary care, but if A(H3N2) continues to predominate, there is a risk that people over 65 years of age will be the most severely affected, possibly putting some healthcare systems under pressure. Influenza A(H1N1)pdm09 may dominate in a few countries where A(H3N2) was dominant last season (Slovenia and Italy). Although just over half of the A(H3N2) viruses characterised at this early stage of the season belong to a new genetic clade, they all are antigenically less than four-fold different from the vaccine strain in the haemagglutination inhibition test. Preliminary vaccine effectiveness (VE) estimates from Scandinavia suggest levels of effectiveness towards the upper range of those seen during the period 2011—2015. Given the early epidemiological and VE data, vaccination of the elderly and other high-risk individuals remains a priority, in line with the national recommendations of the EU/EEA Member States, to prevent more severe cases. Given the partial effectiveness of influenza vaccines, rapid use of neuraminidase inhibitors for laboratory-confirmed or probable cases of influenza should be considered for vaccinated and non-vaccinated at-risk patients.
Factors Influencing the Impact of Sales Training: Test of a Model

A model is derived and tested drawing from I/O psychology and sales management literature addressing sales training. Findings suggest consistent influences of the organization and sales manager on training transfer. Relationships between organizational variables, such as training climate and manager behaviors, and training outcomes are discussed. A chief take-away of the model test concerns evidence that sequential linkages exist between individual determinants (e.g., locus of control, self-efficacy beliefs, learning orientation), salespeople’s satisfaction with training, transfer of training materials (skills, time management, product knowledge), and performance.
Convergence in the Leaf Shape of Vines: A Test of the Carolina Flora Using Phylogenetic Comparative Methods

Abstract An association between vine habit and cordate leaf shape in higher plants has been reported, but previous comparative analyses have not taken into account phylogenetic history. We surveyed the flora of the Carolinas and used phylogenetic comparative methods to test the hypothesized relationship. We found 25 phylogenetically independent vine taxa in the Carolina flora and, for each, attempted to identify its hypothesized non-vine sister taxon based upon recent phylogenetic studies. Using conservative criteria for vine habit and leaf shape determinations, a sign test revealed a significant association between the two traits. The addition of taxa for which information was slightly more ambiguous increased the strength of the association. Our findings suggest that convergence in leaf shape of vine taxa may result from a selective advantage of cordate leaves in plants with a climbing habit. We discuss possible adaptive explanations for the observed association.
Holocene Cyclic Records of Ice-Rafted Debris and Sea Ice Variations on the East Greenland and Northwest Iceland Margins

ABSTRACT The dynamics of the Greenland Ice Sheet and drift of sea ice from the Arctic Ocean reaching Denmark Strait are poorly constrained. We present data on the provenance of Fe oxide detrital grains from two cores in the Denmark Strait area and compare the Fe grain source data with other environmental proxies in order to document the variations and potential periodicities in ice-rafted debris delivery during the Holocene. Based on their Fe grain geochemistry, the sediments can be traced to East Greenland sources and to more distal sites around the Arctic Basin. On the Holocene time scales of the two cores, sea ice biomarker (IP25) data, and quartz weight percent reveal positive associations with T°C and inverse associations with biogenic carbonate wt%. Trends in the data were obtained from Singular Spectrum Analysis (SSA), and residuals were tested for cyclicity. Trends on the environmental proxies explained between 15 and 90% of the variance. At both sites the primary Fe grain sources were from Greenland, but significant contributions were also noted from Banks Island and Svalbard. There is a prominent cyclicity of 800 yrs as well as other less prominent cycles for both Greenland and arctic sources. The Fe grain sources from Greenland and the circum—Arctic Ocean are in synchronization, suggesting that the forcings for these cycles are regional and not local ice sheet instabilities.
Morphology in constraint-based lexical approaches to grammar

Strong lexicalism Morphology and syntax are separate dimensions of language, modelled by discrete components of a theory of grammar. The word is the interface between morphology and syntax: words are atoms of syntactic description, while morphology describes relations between words and/or relations between words and more abstract lexical entities (roots, stems, lexemes, affixes, morphophonological processes, etc.).
A genetic algorithm for maximizing the accepted demands in routing and wavelength assignment in optical networks

Given a set of lightpath requests, the problem of routing and wavelength assignment (RWA) in optical networks consists in routing a subset of these reque sts and assigning a wavelength to each of them, such that two lightpaths that share a common link are assigned to different wavelengths. There are many variants of this problem in the literature. We focus in the variant in which the objective is to maximize the number of requests that may be accepted, given a limited set of available wavelengths. This problem is called max-RWA and it is of practical and theoretical interest, because algorithms for this variant can be extended to other problems that arise from the design of optical networks. In this paper, we propose a biased random-key genetic algorithm for max-RWA. Computational experiments showed that for the largest instances in the literature wher e only upper bounds to the value of the optimal solutions are known, the average optimality gap of the best of the proposed biased randomkey genetic algorithm is smaller than 4%.