Miracle-dz/UniFAR-FTUs huggingface dataset:
Mechanical circulatory support in high-risk PCI and acute coronary syndrome

Acute myocardial infarction is a common cause of cardiogenic shock (approximately 75% of all patients) and out-of-hospital cardiac arrest (approximately 70% of survivors). 1 Mechanical hemodynamic support is employed prior to coronary revascularization (pre-percutaneous coronary intervention (PCI)), during or after PCI. 2 Revascularization procedure is characterized by a transient interruption of coronary blood flow (due to repetitive contrast dye injections, balloon inflations, atherectomy passes, and stent manipulations) resulting in a negative inotropic effect. Percutaneous left ventricular assist device implantation (Impella and TandemHeart), and intra-aortic balloon pump implantation have been described as strategies to avoid the worsening of cardiac function during PCI in the literature, especially in high-risk patients. The USpella registry has shown that pre-PCI implantation of IMPELLA 2.5 significantly improves survival of cardiogenic shock patients (Figure 1). 3 Cardiac arrest is a recognized co.
The Multimodal Go-Nogo Simon Effect: Signifying the Relevance of Stimulus Features in the Go-Nogo Simon Paradigm Impacts Event Representations and Task Performance

Numerous studies have shown that stimulus-response-compatibility (SRC) effects in the go-nogo version of the Simon task can be elicited as a result of performing the task together with another human or non-human agent (e.g., a Japanese-waving-cat, a working-clock, or a ticking-metronome). A parsimonious explanation for both social and non-social SRC effects is that highlighting the spatial significance of alternative (non-/social) action events makes action selection more difficult. This holds even when action events are task-irrelevant. Recent findings, however, suggest that this explanation holds only for cases of a modality correspondence between the Simon task as such (i.e., auditory or visual) and the alternative (non-/social) action event that needs to be discriminated. However, based on the fact that perception and action are represented by the same kind of codes, an event that makes the go-nogo decision more challenging should impact go-nogo Simon task performance. To tackle this issue, the present study tested if alternative stimulus events that come from a different sensory modality do impact SRC effects in the go-nogo version of the Simon task. This was tested in the presence and absence of alternative action events of a human co-actor. In a multimodal (auditory–visual) go-nogo Simon paradigm, participants responded to their assigned stimulus – e.g., a single auditory stimulus while ignoring the alternative visual stimulus or vice versa – in the presence or absence of a human co-actor (i.e., joint and single go-nogo condition). Results showed reliable SRCs in both, single and joint go-nogo Simon task conditions independent of the modality participants had to respond to. Although a correspondence between stimulus material and attention-grabbing event might be an efficient condition for SRCs to emerge, the driving force underlying the emergence of SRCs rather appears to be whether the attentional focus prevents or facilitates alternative events to be integrated. Thus, under task conditions in which the attentional focus is sufficiently broad to enable the integration and thus cognitive representation of alternative events, go-nogo decisions become more difficult, resulting in reliable SRCs in single and joint go-nogo Simon tasks.
Gears-In-Motion: The Interplay of WW and PPIase Domains in Pin1

Pin1 belongs to the family of the peptidyl-prolyl cis-trans isomerase (PPIase), which is a class of enzymes that catalyze the cis/trans isomerization of the Proline residue. Pin1 is unique and only catalyzes the phosphorylated Serine/Threonine-Proline (S/T-P) motifs of a subset of proteins. Since the discovery of Pin1 as a key protein in cell cycle regulation, it has been implicated in numerous diseases, ranging from cancer to neurodegenerative diseases. The main features of Pin1 lies in its two main domains: the WW (two conserved tryptophan) domain and the PPIase domain. Despite extensive studies trying to understand the mechanisms of Pin1 functions, how these two domains contribute to the biological roles of Pin1 in cellular signaling requires more investigations. The WW domain of Pin1 is known to have a higher affinity to its substrate than that of the PPIase domain. Yet, the WW domain seems to prefer the trans configuration of phosphorylated S/T-P motif, while the PPIase catalyzes the cis to trans isomerasion. Such contradicting information has generated much confusion as to the actual mechanism of Pin1 function. In addition, dynamic allostery has been suggested to be important for Pin1 function. Henceforth, in this review, we will be looking at the progress made in understanding the function of Pin1, and how these understandings can aid us in overcoming the diseases implicated by Pin1 such as cancer during drug development.
Weak-MAC: Arithmetic Relaxation for Dynamic Energy-Accuracy Scaling in ConvNets

This work introduces Weak-MAC (WeMAC), a precision scaling strategy for fixed point Multiply&Accumulate operations. By leveraging an algorithmic relaxation of multiplication, it improves the efficiency of deep convolutional neural networks. WeMAC can be run on a software-programmable 8-bit MAC unit and is retraining free, namely, it makes ConvNet achieving reasonable inference accuracy even without retraining. Simulation results conducted on three ConvNets trained over well recognized data-set (SVHN, CIFAR-10 and CIFAR-100) demonstrate WeMAC enables new Pareto points in the energy-accuracy tradeoff of HW accelerators. With 25% more energy efficiency w.r. t. full precision, WeMAC represents a middle way between the low energy consumption of 8-bit arithmetic and the high accuracy of 16-bit arithmetic.
Continuous and Discrete Time Low Voltage Analog Circuits in 16 nm CMOS Technology

Low voltage continuous and discrete time schemes for operation of analog circuits are presented. These are gate driven schemes based on floating batteries that extend the headroom of the differential input stage. This allows them to operate with down to 0.55 V total supply voltage and with transistors in strong/moderate inversion. A continuous-time amplifier and a switched capacitor circuit are shown as application examples of the proposed low voltage techniques.
On the Design of Vertical-Turn Solenoids for Magnetically Isolated Densely Integrated LC Oscillators

This paper presents LC voltage-controlled oscillators (VCOs) that use integrated vertical-turn inductors (solenoids) in their tanks to alleviate frequency and phase pulling due to magnetic coupling when multiple VCOs are densely integrated. The vertical-turn inductor is symmetric, compact size and less susceptible to the substrate loss due to eddy currents, while its magnetic field is perpendicular to that of a conventional planar spiral inductor that is implemented on the same die. As a proof of concept, two free-running 40-GHz VCOs with low clock jitter using the proposed inductor are designed and laid out in a 65-nm CMOS technology. Based on electromagnetic (EM) simulation results, the proposed solenoid structure provides up to 30 dB more inductor-to-inductor isolation as compared to planar inductor structures at the desired frequency. The VCOs achieve a phase noise of −113 dBc/Hz at 10-MHz offset frequency, and draw 10.3 mA from a 1-V supply, resulting in a figure of merit (FOM) of −175 dBc/Hz. The circuit excluding pads occupies an area of 0.0324 mm2.
Daily physical activity and lung function decline in adult-onset asthma: a 12-year follow-up study

ABSTRACT Background: There is a lack of knowledge on the association between daily physical activity and lung function in patients with asthma. Objective: This study aims to examine the association between daily physical activity and asthma control, lung function, and lung function decline in patients with adult-onset asthma. Design: This study is part of Seinäjoki Adult Asthma Study (SAAS), where 201 patients were followed for 12 years after asthma diagnosis. Daily physical activity was assessed at follow-up by a structured questionnaire and used to classify the population into subgroups of low (≤240 min) or high (>240 min) physical activity. Three spirometry evaluation points were used: 1. diagnosis, 2. the maximum lung function during the first 2.5 years after diagnosis (Max0-2.5), 3. follow-up at 12 years. Results: High physical activity group had slower annual FEV1 (p<0.001) and FVC (p<0.018) decline. Additionally, the high physical activity group had higher FEV1 values at follow-up, and higher FEV1/FVC ratios at follow-up and diagnosis. There was no difference in BMI, smoking, medication, or frequency of physical exercise between high and low physical activity groups. Differences remained significant after adjustments for possible confounding factors. Conclusion: This is the first demonstration of an association between long-term FEV1 decline and daily physical activity in clinical asthma. Low physical activity is independently associated with faster decline in lung function. Daily physical activity should be recommended in treatment guidelines in asthma.
A Stochastic Latent Moment Model for Electricity Price Formation

The wide range of models needed to support the various short-term operations for electricity generation demonstrates the importance of accurate specifications for the uncertainty in market prices. This is becoming increasingly challenging, since electricity hourly price densities exhibit a variety of shapes, with their characteristic features changing substantially within the day and over time, and the influx of renewable power, wind and solar in particular, has amplified these effects. A general-purpose, analytically tractable representation of the stochastic price formation process would have considerable value for operations control and trading, but existing empirical approaches for the application of standard density functions are unsatisfactory. We develop a general four parameter stochastic model for hourly prices, in which the four moments of the density function are dynamically estimated as latent state variables and furthermore modelled as functions of several plausible exogenous drivers. This provides a transparent and credible model that is suffciently flexible to capture the shape-shifting effects, particularly with respect to the wind and solar output variations causing dynamic switches in the upside and downside risks. Extensive testing on German wholesale price data, benchmarked against quantile regression and other models in out-of-sample backtesting, validated the approach and its analytical appeal.
Impact de la présence/absence des termes de la requête dans le document sur le processus d'appariement document-requête en utilisant Word2Vec

Dans cet article, nous etudions l'appariement document-requete base sur des similarites semantiques entre les termes de la requete et ceux du document, a l'aide du plongement lexical des mots (word embedding). Contrairement aux approches traditionnelles qui sont basees sur les representations dites sac de mots et qui reposent sur l'appariement exact entre les mots, le processus d'appariement pourrait etre ameliore en tenant compte de tous les mots du document et en traitant differemment les mots de la requete qui ne sont pas dans le document. Nous avons exploite differentes strategies d'appariement. Les resultats experimentaux en utilisant des collections TREC montrent que les strategies d'appariement etudiees donnent de meilleurs resultats que les modeles classiques de la RI.
Genomic Characterization of Extended-Spectrum Cephalosporin-Resistant Salmonella enterica in the Colombian Poultry Chain

Salmonella enterica serovars have been isolated from Colombian broilers and broiler meat. The aim of this study was to investigate the diversity of ESBL/pAmpC genes in extended-spectrum cephalosporin resistant Salmonella enterica and the phylogeny of ESBL/pAmpC-carrying Salmonella using Whole Genome Sequencing (WGS). A total of 260 cefotaxime resistant Salmonella isolates, obtained between 2008 and 2013 from broiler farms, slaughterhouses and retail, were included. Isolates were screened by PCR for ESBL/pAmpC genes. Gene and plasmid subtyping and strain Multi Locus Sequence Typing was performed in silico for a selection of fully sequenced isolates. Core-genome-based analyses were performed per ST encountered. blaCMY−2−like was carried in 168 isolates, 52 carried blaCTX−M−2 group, 7 blaSHV, 5 a combination of blaCMY−2−like-blaSHV and 3 a combination of blaCMY−2−like-blaCTX−M−2 group. In 25 isolates no ESBL/pAmpC genes that were screened for were found. WGS characterization of 36 selected strains showed plasmid-encoded blaCMY−2 in 21, blaCTX−M−165 in 11 and blaSHV−12 in 7 strains. These genes were mostly carried on IncI1/ST12, IncQ1, and IncI1/ST231 plasmids, respectively. Finally, 17 strains belonged to S. Heidelberg ST15, 16 to S. Paratyphi B variant Java ST28, 1 to S. Enteritidis ST11, 1 to S. Kentucky ST152 and 1 to S. Albany ST292. Phylogenetic comparisons with publicly available genomes showed separate clustering of Colombian S. Heidelberg and S. Paratyphi B var. Java. In conclusion, resistance to extended-spectrum cephalosporins in Salmonella from Colombian poultry is mainly encoded by blaCMY−2 and blaCTX−M−165 genes. These genes are mostly associated with IncI1/ST12 and IncQ1 plasmids, respectively. Evolutionary divergence is observed between Colombian S. Heidelberg and S. Paratyphi B var. Java and those from other countries.
Multi-class Twitter sentiment classification with emojis

Purpose Recently, various Twitter Sentiment Analysis (TSA) techniques have been developed, but little has paid attention to the microblogging feature – emojis, and few works have been conducted on the multi-class sentiment analysis of tweets. The purpose of this paper is to consider the popularity of emojis on Twitter and investigate the feasibility of an emoji training heuristic for multi-class sentiment classification of tweets. Tweets from the “2016 Orlando nightclub shooting” were used as a source of study. Besides, this study also aims to demonstrate how mapping can contribute to interpreting sentiments. Design/methodology/approach The authors presented a methodological framework to collect, pre-process, analyse and map public Twitter postings related to the shooting. The authors designed and implemented an emoji training heuristic, which automatically prepares the training data set, a feature needed in Big Data research. The authors improved upon the previous framework by advancing the pre-processing techniques, enhancing feature engineering and optimising the classification models. The authors constructed the sentiment model with a logistic regression classifier and selected features. Finally, the authors presented how to visualise citizen sentiments on maps dynamically using Mapbox. Findings The sentiment model constructed with the automatically annotated training sets using an emoji approach and selected features performs well in classifying tweets into five different sentiment classes, with a macro-averaged F-measure of 0.635, a macro-averaged accuracy of 0.689 and the MAEM of 0.530. Compared to those experimental results in related works, the results are satisfactory, indicating the model is effective and the proposed emoji training heuristic is useful and feasible in multi-class TSA. The maps authors created, provide a much easier-to-understand visual representation of the data, and make it more efficient to monitor citizen sentiments and distributions. Originality/value This work appears to be the first to conduct multi-class sentiment classification on Twitter with automatic annotation of training sets using emojis. Little attention has been paid to applying TSA to monitor the public’s attitudes towards terror attacks and country’s gun policies, the authors consider this work to be a pioneering work. Besides, the authors have introduced a new data set of 2016 Orlando Shooting tweets, which will be made available for other researchers to mine the public’s political opinions about gun policies.
Facet-oriented modelling: open objects for model-driven engineering

Model-driven engineering (MDE) promotes models as the principal assets in software projects. Models are built using a modelling language whose syntax is defined by a metamodel. Hence, objects in models are typed by a metamodel class, and this typing relation is static as it is established at creation time and cannot be changed later. This way, objects in MDE are closed and fixed with respect to the type they conform to, the slots/properties they have, and the constraints they should obey. This hampers the reuse of model-related artefacts like model transformations, as well as the opportunistic or dynamic combination of metamodels. To alleviate this rigidity, we propose making model objects open so that they can acquire or drop so-called facets, each one contributing a type, slots and constraints to the object. Facets are defined by regular metamodels, hence being a lightweight extension of standard metamodelling. Facet metamodels may declare usage interfaces, and it is possible to specify laws that govern how facets are to be assigned to the instances of a metamodel. In this paper, we describe our proposal, report on an implementation, and illustrate scenarios where facets have advantages over other techniques.
BioScript: programming safe chemistry on laboratories-on-a-chip

This paper introduces BioScript, a domain-specific language (DSL) for programmable biochemistry which executes on emerging microfluidic platforms. The goal of this research is to provide a simple, intuitive, and type-safe DSL that is accessible to life science practitioners. The novel feature of the language is its syntax, which aims to optimize human readability; the technical contributions of the paper include the BioScript type system and relevant portions of its compiler. The type system ensures that certain types of errors, specific to biochemistry, do not occur, including the interaction of chemicals that may be unsafe. The compiler includes novel optimizations that place biochemical operations to execute concurrently on a spatial 2D array platform on the granularity of a control flow graph, as opposed to individual basic blocks. Results are obtained using both a cycle-accurate microfluidic simulator and a software interface to a real-world platform.
Résumé automatique guidé de textes: État de l’art et perspectives (Guided Summarization : State-of-the-art and perspectives )

Les systèmes de résumé automatique de textes (SRAT) consistent à produire une représentation condensée et pertinente à partir d’un ou de plusieurs documents textuels. La majorité des SRAT sont basés sur des approches extractives. La tendance actuelle consiste à s’orienter vers les approches abstractives. Dans ce contexte, le résumé guidé défini par la campagne d’évaluation internationale TAC (Text Analysis Conference) en 2010, vise à encourager la recherche sur ce type d’approche, en se basant sur des techniques d’analyse en profondeur de textes. Dans ce papier, nous nous penchons sur le résumé automatique guidé de textes. Dans un premier temps, nous définissons les différentes caractéristiques et contraintes liées à cette tâche. Ensuite, nous dressons un état de l’art des principaux systèmes existants en mettant l’accent sur les travaux les plus récents, et en les classifiant selon les approches adoptées, les techniques utilisées, et leurs évaluations sur des corpus de références. Enfin, nous proposons les grandes étapes d’une méthode spécifique devant permettre le développement d’un nouveau type de systèmes de résumé guidé.
Effect of liners and primers on tensile bond strength between zirconia and resin-based luting agent

PURPOSE The effect of silica-based glass-ceramic liners on the tensile bond strength between zirconia and resin-based luting agent was evaluated and compared with the effect of 10-methacryloyloxydecyl dihydrogen phosphate (MDP)-containing primers. MATERIALS AND METHODS Titanium abutments and zirconia crowns (n = 60) were fabricated, and the adhesive surfaces of the specimens were treated by airborne-particle abrasion. The specimens were divided into 5 groups based on surface treatment: a control group, 2 primer groups (MP: Monobond Plus; ZP: Z Prime Plus), and 2 liner groups (PL: P-containing Liner; PFL: P-free Liner). All specimens were cemented with self-adhesive resin-based luting agent. After 24-hour water storage and thermocycling (5,000 cycles, 5℃/55℃), the tensile bond strength was measured using a universal testing machine. Failure mode analysis and elemental analysis on the bonding interface were performed. The data were analyzed using Kruskal-Wallis test, Dunn's post hoc test, and Fisher's exact test. RESULTS The liner groups and primer groups showed significantly higher tensile bond strengths than that of the control group (P<.05). PFL showed a significantly higher tensile bond strength than the primer groups (P<.05). The percentage of mixed failure was higher in the primer groups than in the control group (P<.001), and all the specimens showed mixed failure in the liner groups (P<.001). A chemical reaction area was observed at the bonding interface between zirconia and liner. CONCLUSION The application of liner significantly increased the tensile bond strength between zirconia and resin-based luting agent. PFL was more effective than MDP-containing primers in improving the tensile bond strength with the resin-based luting agent.
Internet of things or threats?: on building trust in IoT (keynote)

The Internet of things (IoT) is rapidly emerging with the goal to connect the unconnected. Many new device manufacturers are entering the market of internet-connected appliances for smart homes and offices, ranging from motion sensors to virtual voice assistants. However, due to lack of security by design and flawed implementations we are facing significant security and privacy challenges specific to IoT, such as perilous IoT botnet attacks, and novel privacy threats caused by widespread installation of wireless sensors, actuators and smart home appliances even in the private setting of our homes. Unfortunately, basic security measures like properly encrypted communications does not protect against these threats. The massive scale of the IoT device population and enormous diversity of device hardware, operating systems, software frameworks and manufacturers makes it very difficult to establish standard IoT security and privacy-protecting solutions by simply applying known solutions, neither for per-device security architectures nor for network security measures. In particular, existing intrusion detection techniques to detect compromised IoT devices seem ineffective. In this talk, we will present our recent work on addressing various security and privacy challenges in the growing IoT landscape including industry collaborations. In particular, we focus on approaches for flexible management of security associations (pairing) among devices introduced into the user's trust domain as well as effectively and efficiently identifying these devices based on their inherent communication behavior and using these behavior patterns to automatically and reliably detect compromised IoT devices.