Miracle-dz/UniFAR-FTUs huggingface dataset:
Master in Innovation and Research in Informatics ( MIRI ) Semantic IoT for Reasoning and Big Data Analytics

In recent years, the Internet of Things has been evolving and expanding as a disruptive technology. What started out with the idea of tagging things using RFID tags and connecting them to the Internet has now become the common name for connecting anything and everything. With the IoT being a main source of data generation due to very large number of devices and their rather low cost, data processing in both online and offline modes, has become a challenge due to size, data rate, variety, etc. In this context, the semantic web technologies are sought to enrich the already Big Data with even more data but facilitating processing and reasoning over the data. The benefits of bringing the semantic web to the IoT are twofold. By adding a common model to the data, the interoperability, i.e. the domain where it can be used, is increased significantly. Furthermore, such enriched data streams will allow machines to infer even more information and knowledge from it that would otherwise not have been available. However, such benefits are not obtained without paying a price. Enriching the data requires additional processing steps and causes an explosion of the already Big Data. Traditionally, dealing with Big Data is a problem that has been tackled using Cloud computing. Voices are rising however, that soon the idea of pushing all data to the Cloud will no longer be sustainable. This is especially fortified by the upcoming 5G technologies, which brings the capacity of generating even bigger data streams at devices. A possible solution is to alleviate the Cloud by performing some computations at lower levels. The question can be raised as to what exactly should be processed and where, from IoT layer to Cloud layer. The tasks performed in the Cloud are often of such high complexity that they cannot be performed by any lower level infrastructure. It is thus necessary to identify tasks that can be moved away from the Cloud and pushed towards the edges of the Internet.
Master in Innovation and Research in Informatics ( MIRI ) specialized in High Performance Computing ( HPC )

HPC machines are introducing more and more heterogeneity in their architecture on the road to exascale systems. The increasing complexity of the machines due to the variety of hardware architectures and accelerators makes efficient programming a task harder than ever. Heterogeneous parallel programming models, such as OmpSs@FPGA, help the programmer handle the most unfriendly parts of working with accelerators. This master thesis analyzes the OmpSs@FPGA communication system and proposes a set of techniques to overcome the problems related to it and potentially improve the performance of the applications. The results show that the techniques proposed speed up the applications under certain conditions and, most importantly, solves some of the limitations that had the previous communication system. In particular, the new techniques specially improve the explotation of fine-grain parallelism and open the door to explore new possibilities with regard to data communication and re-use. Moreover, a tool (autoVivado) that automatically manages the process of bitstream generation, from the synthesis of the HLS code to the generation of the device-tree, has been developed as part of this master thesis. autoVivado has been fully integrated with the OmpSs@FPGA compiler infrastructure, providing the programmers a way to transparently generate parallel heterogenous programs and bitstreams from OmpSs applications that use FPGA accelerators.
The Effect of Nurse Leader Qualification on Position Outcome: Systematic Review

Background: Nurse leaders influence policy, change, and outcomes on the part of patients and junior nurses, and they are critical in resolving conflicts and in decision making. A clear understanding of whether high qualifications or experience impact more on a nurse’s leader’s outcomes is necessary. Aims: To examine whether an advanced practice registered nurse with higher qualifications is considered by themselves and by junior colleagues to have better position outcomes than one who is in the same job level but who has lesser experience and less qualifications. Methods: This review followed the methodological framework for systematic reviews described in the PRISMA statement and PRISMA checklist and the Cochrane Collaboration procedures to review quantitative studies published between 1t January 2015 and 31 December 2023. Results : This review included thirteen articles after screening articles from six different databases. The settings for the studies included a private hospital (n=1, Turkey), medical centers at University of California (n=1, USA), general hospital setup (n=3; Egypt, Taiwan, Ethiopia), trauma hospital (n=1; Iran) and clinics (n=2, Sweden, South Africa), ICU (3 Saudi Arabia, Sweden, Ethiopia). In terms of study designs, all the studies were interventional with five described as quasi-experimental studies (pre-test and post-test studies designs) and 8 Cross-sectional study design studies (completed through surveys questionnaire). Key findings highlighted the impact of nurse academic qualification and experience on position outcomes. Conclusion: Quality of nursing care is dependable on nurse staff qualification as nurses with higher academic qualifications have better position outcome than those with inferior qualifications.
Concept and design of extended hybrid laminar flow control suction panels

Fully laminar aircraft are one step towards reaching eco-efficient aviation. However, high system complexity and significant manufacturing effort prevent the wide usage of existing laminarisation concepts such as laminar flow control, which are rarely found in commercial aircraft. Hybrid laminar flow control concepts reduce the manufacturing effort significantly at the cost of only achieving partial laminar flow. This paper presents extended hybrid laminar flow control concepts for fully laminar wings, with reduced system complexity. A detailed study of structural and aerodynamic requirements provides the foundation for partial design solutions of active suction structures. The authors derive two concepts for active suction panels from the structural design space. While the first concept relies on state of the art manufacturing techniques, the focus of the second concept is on additive manufacturing technologies. Based on these concepts, it is feasible to design fully laminar wings with structurally integrated active suction systems. The authors propose an aerodynamic test strategy for further developing extended hybrid laminar flow control.
Lessons Learned about Evaluating Fairness from a Data Lessons Learned about Evaluating Fairness from a Data Challenge to Automatically Score NAEP Reading Items Challenge to Automatically Score NAEP Reading Items

Natural language processing (NLP) is widely used to predict human scores for open-ended student assessment responses in various content areas (Johnson et al., 2022). Ensuring algorithmic fairness based on student demographic background factors is crucial (Madnani et al., 2017). This study presents a fairness analysis of six top-performing entries from a data challenge involving 20 NAEP reading comprehension items that were initially analyzed for fairness based on race/ethnicity and gender. This study describes additional fairness evaluation including English Language Learner Status (ELLs), Individual Education Plans
Multiparametric Ultrasoud Findings Post Sars-Cov 2 Infection: Increased Risk of Liver Fibrosis?

Purpose: Increased transaminase levels are frequently detected in patients with Coronavirus disease 19 (COVID 19) and are associated with worse outcome. The associa - tion with abdominal radiological signs and severity grading, however, remains to be elucidated. Our aim was to evaluate the long term effects of COVID 19 infection on liver ultrasound features and in particular on liver steatosis and liver stiffness (LS). Material and methods: All consecutive patients referred to the outpatient post-COVID 19 Unit of the Fondazione Policlinico Gemelli 6 months after infection underwent B-mode ultrasound (US), sound speed estimation (SSE) and 2D-Shear-Wave Elastography (2D-SWE). Liver steatosis and fibrosis were defined as a SSE value ≤ 1.537 m/s and > 7.1 kPa. Results: Among 146 patients enrolled, 55 patients (37.7%) had liver steatosis, 11 patients (7.5%) had significative liver fibrosis. LS was positively correlated with liver steatosis at the follow up post-COVID-19 infection compared with those without liver steatosis. Furthermore, significative fibrosis was associated with obesity (p=0.02), diabetes (p<0.01), aminontransferases elevation during infection (p<0.01) and anti-IL6 therapy during hospitalization (p=0.02). Conclusion: The new ultrasonographic techniques are an useful and non-invasive tool for the follow up of patients after COVID 19 infection to evaluate chronic liver injury.
Molecular Epidemiology and Evolution of Enterovirus 71 Strains Isolated from 1970 to 1998

ABSTRACT Enterovirus 71 (EV71) (genus Enterovirus, familyPicornaviridae), a common cause of hand, foot, and mouth disease (HFMD), may also cause severe neurological diseases, such as encephalitis and poliomyelitis-like paralysis. To examine the genetic diversity and rate of evolution of EV71, we have determined and analyzed complete VP1 sequences (891 nucleotides) for 113 EV71 strains isolated in the United States and five other countries from 1970 to 1998. Nucleotide sequence comparisons demonstrated three distinct EV71 genotypes, designated A, B, and C. The genetic variation within genotypes (12% or fewer nucleotide differences) was less than the variation between genotypes (16.5 to 19.7%). Strains of all three genotypes were at least 94% identical to one another in deduced amino acid sequence. The EV71 prototype strain, BrCr-CA-70, isolated in California in 1970, is the sole member of genotype A. Strains isolated in the United States and Australia during the period from 1972 to 1988, a 1994 Colombian isolate, and isolates from a large HFMD outbreak in Malaysia in 1997 are all members of genotype B. Although strains of genotype B continue to circulate in other parts of the world, none have been isolated in the United States since 1988. Genotype C contains strains isolated in 1985 or later in the United States, Canada, Australia, and the Republic of China. The annual rate of evolution within both the B and C genotypes was estimated to be approximately 1.35 × 10−2 substitutions per nucleotide and is similar to the rate observed for poliovirus. The results indicate that EV71 is a genetically diverse, rapidly evolving virus. Its worldwide circulation and potential to cause severe disease underscore the need for additional surveillance and improved methods to identify EV71 in human disease.
Hybrid Influences of Social Subsystem and Technical Subsystem Risks in the Crowdsourcing Marketplace

The successful management of crowdsourcing risk has gained considerable attention because of the challenges involved in obtaining the satisfactory performance from crowdsourcing activities. However, the mechanism of how various critical risk factors affect crowdsourcing performance has been poorly investigated. Empirical evidence based on a dataset of 169 samples from China shows that three technical (i.e., complexity, requirement, and task) and three social (i.e., seeker, solver, and relationship) subsystem risks not only directly but also interactively influence the crowdsourcing task performance. Technical subsystem risk factors, while worsen performance, diminish the negative effects of social subsystem risk factors on the crowdsourcing task performance. The diminishing effects of three technical subsystem risk factors are also differentiated. High requirement and task risks lessen the negative effects of seeker, solver, and relationship risks on the task performance, whereas the high complexity risk only weakens the negative effect of the solver risk. Therefore, various crowdsourcing risk factors affect the performance in different ways and directions (either negatively or positively). Risk can perform dual roles in influencing the performance. Hybrid strategies that integrate social and technical subsystem elements may be effective in achieving a superior task performance for the crowdsourcing risk management. Managers of crowdsourcing platforms can also optimize social and technical environments to improve the fit between social and technical systems.
Neural correlates of economic value and valuation context: an event-related potential study

Neural correlates of economic value and valuation context: an event-related potential study. value of environmental cues and inter-nal states is continuously evaluated by the human brain, and it is this subjective value that largely guides decision making. The present study aimed to investigate the initial value attribution process, speciﬁcally the spatiotemporal activation patterns associated with values and valuation context, using electroencephalographic event-related potentials (ERPs). Participants completed a stimulus rating task in which everyday household items marketed up to a price of £4 were evaluated with respect to their desirability or material properties. The subjective values of items were evaluated as willingness to pay (WTP) in a Becker-DeGroot-Marschak auction. On the basis of the individ-ual’s subjective WTP values, the stimuli were divided into high- and low-value items. Source dipole modeling was applied to estimate the cortical sources underlying ERP components modulated by subjective values (high vs. low WTP) and the evaluation condition (value-relevant vs. value-irrelevant judgments). Low-WTP items and value-relevant judgments both led to a more pronounced N2 visual evoked potential at right frontal scalp electrodes. Source activity in right anterior insula and left orbitofrontal cortex was larger for low vs. high WTP at (cid:2) 200 ms. At a similar latency, source activity in right anterior insula and right parahippocampal gyrus was larger for value-relevant vs. value-irrelevant judgments. A stronger response for low- than high-value items in anterior insula and orbitofrontal cortex appears to reﬂect aversion to low-valued item acquisition, which in an auction experiment would be perceived as a relative loss. This initial low-value bias occurs automatically irrespective of the valuation context. NEW & NOTEWORTHY We demonstrate the spatiotemporal char-acteristics of the brain valuation process using event-related potentials and willingness to pay as a measure of subjective value. The N2 component resolves values of objects with a bias toward low-value items. The value-related changes of the N2 component are part of an automatic valuation process.
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Introduction: Poor mental health is a common secondary health condition for adults with disabilities. The mental health benefits of moderate-to-vigorous intensity physical activity (MVPA) are well-documented. Few studies have empirically tested the relationship between MVPA and mental health among persons with disabilities. Additionally, theoretically-informed factors that may mediate the relationship are not commonly tested among persons with disabilities. The primary aim of this study was to examine the cross-sectional relationship between MVPA and mental health in adults with disabilities. A secondary aim was to explore the indirect effects of the three psychological needs (autonomy, competence, relatedness) on the MVPA-mental health relationship. Material and methods: Participants (n = 100; Mage = 36.61 +/- 11.51, 18-61 years; 54% women; 84% physical disability) completed an online questionnaire to assess MVPA, mental health, autonomy, competence, and relatedness. The associations between MVPA, psychological needs, and mental health were explored descriptively and in a multiple mediation regression model. Results: The bivariate association between MVPA and mental health was significant (rs = .34, p = .01), as were the associations between the three psychological needs and MVPA (rs = .24.43) and mental health (rs = .61-.82). The indirect effect of MVPA and mental health was significant through autonomy (β=.05, 95% CI = .00-.12), competence (β = .16, 95% CI = .08-.25) and relatedness (β = .08, 95% CI = .02-.17). Conclusions: The results of this study add to limited research documenting the MVPA and mental health relationship in adults with disabilities through highlighting the potential benefits of autonomy, competence, and relatedness. Future prospective research is needed to investigate the mediating effects of autonomy, competence and relatedness on the MVPA and mental health relationship in adults with disabilities.
Genetic diversity of inorganic carbon systems causes variation in CO2 response of the cyanobacterium Microcystis

Rising CO2 levels may act as an important selective factor on the CO2-concentrating mechanism (CCM) of cyanobacteria. We investigated genetic diversity in the CCM of Microcystis aeruginosa, a species producing harmful cyanobacterial blooms in many lakes worldwide. All 20 investigated Microcystis strains contained complete genes for two CO2 uptake systems, the ATP-dependent bicarbonate uptake system BCT1 and several carbonic anhydrases (CAs). However, twelve strains lacked either the high-flux bicarbonate transporter BicA or the high-affinity bicarbonate transporter SbtA. Both genes, bicA and sbtA, were located on the same operon, and the expression of this operon is most likely regulated by an additional LysR-type transcriptional regulator (CcmR2). Strains with only a small bicA fragment clustered together in the phylogenetic tree of sbtAB, and the bicA fragments were similar in strains isolated from different continents. This indicates that a common ancestor may first have lost most of its bicA gene and subsequently spread over the world. Growth experiments showed that strains with sbtA performed better at low inorganic carbon (Ci) conditions, whereas strains with bicA performed better at high Ci conditions. This offers an alternative explanation of previous competition experiments, as our results reveal that the competition at low CO2 levels was won by a specialist with only sbtA, whereas a generalist with both bicA and sbtA won at high CO2 levels. Hence, genetic and phenotypic variation in Ci uptake systems provide Microcystis with the potential for microevolutionary adaptation to changing CO2 conditions, with a selective advantage for bicA-containing strains in a high-CO2 world.
Effect of Acidic Industrial Efﬂuent Release on Microbial Diversity and Trace Metal Dynamics During Resuspension of Coastal Sediment

Both industrial efﬂuent discharge and the resuspension of contaminated marine sediments are important sources of trace metals in seawater which potentially affect marine ecosystems. The aim of this study was to evaluate the impact of the industrial wastewaters having acidic pH (2–3) and containing trace metals on microbial diversity in the coastal ecosystem of the Gulf of Gabès (Tunisia, southern Mediterranean Sea) subjected to resuspension events of marine sediments. Four trace elements (As, Cd, U, and V) were monitored during 10-day sediment resuspension experiments. The highest enrichment in the seawater dissolved phase was observed for Cd followed by U, V, and As. Cd remobilization was improved by indigenous microbial community, while U release was mainly abiotic. Acidic efﬂuent addition impacted both trace metal distribution and microbial diversity, particularly that of the abundant phylum Bacteroidetes . Members of the order Saprospirales were enriched from sediment in natural seawater (initial pH > 8), while the family Flavobacteriaceae was favored by acidiﬁed seawater (initial pH < 8). Some Flavobacteriaceae members were identiﬁed as dominant species in both initial sediment and experiments with acidic wastewater, in which their relative abundance increased with increasing dissolved Cd levels. It could be therefore possible to consider them as bioindicators of metal pollution and/or acidiﬁcation in marine ecosystems.
Surface Wave Effects on the Wind-Power Input to Mixed Layer Near-Inertial Motions

AbstractOcean surface waves play an essential role in a number of processes that modulate the momentum fluxes through the air–sea interface. In this study, the effects of evolving surface waves on the wind-power input (WPI) to near-inertial motions (NIMs) are examined by using momentum fluxes from a spectral wave model and a simple slab ocean mixed layer model. Single-point numerical experiments show that, without waves, the WPI and the near-inertial kinetic energy (NI-KE) are overestimated by about 20% and 40%, respectively. Globally, the overestimate in WPI is about 10% during 2005–08. The largest surface wave effects occur in the winter storm-track regions in the midlatitude northwestern Atlantic, Pacific, and in the Southern Ocean, corresponding to large inverse wave age and rapidly varying strong winds. A relatively low frequency of occurrence of wind sea is found in the midlatitudes, which implies that the influence of evolving surface waves on WPI is intermittent, occurring less than 10% of the tot.
Automatic Headlight Dimmer and Curve Lane Detection for Intelligent Transportation Systems

In recent years, humankind has made remarkable progress in the transportation system. Specifically, advanced sensors are installed at both the infrastructure and the vehicles to provide improved situational awareness and facilitate machine intelligence during the decision-making while driving, realizing the Intelligent Transportation Systems (ITS). Among the various issues, the prediction of the vehicle motion and behavior is a crucial topic, since it provides critical information to the decision-making of both individual vehicles and the transportation control center. As a result, there have been many recent studies on vehicle trajectory tracking and behaviour prediction. The emergence of intelligent connected vehicles is expected to contribute to resolving traffic congestion and safety problems; however, it is inevitable that ICV safety issues in mixed traffic will be a critical challenge. Numerical simulation of scenarios involving a mix of different driving profiles is expected to be an important safety assessment tool in the process of testing and validating ICVs, especially regarding extreme scenarios, including car collisions, which are rarely captured in real-world datasets. Collisions can be avoided by detecting the driving patterns. Vehicle behavior prediction provides important information for decision-making in modern intelligent transportation systems. People with different driving styles have considerably different driving behaviors and hence exhibit different behavior tendency. However, most existing prediction methods do not consider the different tendencies in driving styles and apply the same model to all vehicles.