SIRIS-Lab/unlabelled-sti-corpus huggingface dataset:
Detection of target image based on lifting wavelet transform and application in machining

An algorithm for movement images is introduced in this paper. The algorithm is based on lifting wavelet transform and fit to detect low contrast objects and movement object track. In the foundation, the new wavelet filters are constructed by using the training target images. At the present time, it has been widely used as a powerful tool, such as image compression, noise reduction and feature extraction etc. Contrasting to detection algorithm, there are some advantages, such as simple computing, higher probability and fast speed. The results illustrate the reference image of movement targets in machining is precisely tracked and detected by the algorithm. It shows that the proposed algorithm is precise and effective. Through applying the method in machining, the problems can be discovered and corrected timely. It can insure manufacturability and assembly. In mechanical manufacturing, the waste can be reduced and cost can be depressed, productivity can be improved.
A methodology to calculate the friction coefficient in the transition regime: Application to straight chains

Abstract A methodology is introduced, the Collision Rate Method (CRM), to calculate the friction coefficient of power-law aggregates across the entire momentum-transfer regime. The friction coefficient is calculated via the ratio of two fictitious particle-aggregate collision rates evaluated in the continuum and slip-flow regimes. The effective collision rates are obtained from the numerical solution of the Laplace equation with Robin boundary condition. The methodology was justified by comparing the slip correction factor of straight-chains composed of up to 50 spherical monomers with literature results. We determined the validity of the CRM to lie in an extended slip-flow regime, the maximum monomer Knudsen number being 2. We calculated the adjusted-sphere radius, the radius of a sphere with the same slip correction factor as the chain, in slip flow. We found it to be weakly dependent on flow conditions, as specified by the carrier-gas mean free path, a dependence that leads to a weak effect on calculated slip correction factors. The CRM was combined with the Adjusted-Sphere Method to extend its validity to all Knudsen numbers. Excellent agreement of calculated, straight-chain, slip correction factors with literature values was obtained for monomer Knudsen numbers up to 100. Various characteristic length scales, geometric (equivalent volume radius, radius of gyration) and dynamic (equivalent hydrodynamic and mobility radii), were calculated.
Ética y deberes en los nuevos códigos deontológicos. Una visión desde Italia

De un tiempo a esta parte proliferan una serie de códigos deontológicos ue establecen los deberes y directrices éticos atribuibles al ejercicio de una determinada profesión. Para entender bien este fenóieno es necesario reconstruir el origen y la posterior evolución de la deontología, la naturaleza del ‘deber’ de los códigos deontológicos y la ética profesional, la funcion y calificación de las reglas deontológicas. La naturaleza de las normas deontológicas no ha sido un tema pacífico. Supone volver al debate sobre la relación entre derecho y moral. En el presente artículo se analiza la posición de la jurisprudencia italiana en relación con las propias consideraciones al respecto de esta cuestión que realizan los códigos deontológicos de la abogacía española, de la abogacía italiana, así como el de los abogados europeos.
Real time parser for use with electronic medical records

The present invention provides systems and methods for use with electronic records, such as Electronic Medical Records (EMRs). A parser engine may receive a stream of Health Level 7 (HL7) messages containing EMR data and, using parsing logic, parse the HL7 messages to identify and extract specified EMR data therefrom. The extracted EMR data may be utilized in determining analytic results data that may be presented, or made available for presentation, to a medical professional or medical staff member, in real time or near real time relative to entry of the EMR data into an EMR system.
The Regulatory Effect on the Performance of Financial Analysts: Time Series from Two Different Legal Systems

The focus of this paper is the relationship between regulatory settings and financial analysts’ performance, which is examined by studying the level of shareholder protection and the performance of financial analysts in two countries with different legal origins. By using a newly constructed index to measure shareholder protection, we are able to analyze how changes in shareholder protection over time can affect analysts’ performance. By comparing two countries with different legal traditions (the United Kingdom (UK) and Sweden), we are also able to assess whether the underlying legal origin is an influential factor. The results show that increased shareholder protection improves forecast accuracy in both the UK and Sweden, supporting the idea that stronger shareholder protection regulations improve analysts’ performance whether the legal context is rooted in common law or Scandinavian civil law tradition. The findings also indicate that strengthened shareholder protection decreases forecast dispersion in Sweden and forecast bias in the UK, further supporting the idea that stronger shareholder protection improves analysts’ performance even though the results differed across legal contexts. We did, however, find a substitution effect in both countries: Strengthened shareholder protection makes analysts’ services less valuable to investors, thus leading to a reduction in the number of analysts. Our main conclusion is that changes in shareholder protection affect the performance of analysts irrespective of the country’s legal origin, i.e. common law or Scandinavian civil law. However, legal origin seems to have an impact on the magnitude of analysts’ performance based on changes in shareholder protection.
TECNOLOGÍA DE POTENCIA FLUIDA S.R.L.

LA INVERSIÓN PREVISTA PARA EL AÑO 2017 ES NECESARIA PARA PODER OFRECER EN EL MERCADO PRODUCTOS CADA VEZ MÁS VERSÁTILES Y ADECUADOS PARA LOS MUCHOS CAMPOS DE APLICACIÓN A LOS QUE SE DIRIGE FPT. CON LA ENTRADA EN FUNCIONAMIENTO DE LA NUEVA MAQUINARIA FPT AUMENTARÁ LA GAMA DE SUS ARTÍCULOS, MEJORARÁ LAS CARACTERÍSTICAS TÉCNICAS DE LOS MISMOS Y, POR LO TANTO, PODRÁ SATISFACER LAS MUCHAS DEMANDAS DEL MERCADO. LA INVERSIÓN TAMBIÉN PERMITE LA REDUCCIÓN DE LOS TIEMPOS DE PRODUCCIÓN, YA QUE CONCENTRA LAS FASES DE TRABAJO EN UNA SOLA MÁQUINA, LO QUE PERMITE MEJORAR LA PRODUCTIVIDAD, LO QUE RESULTA EN UNA REDUCCIÓN DE LOS COSTES.
INGENIA S.R.L.

LE CONTRÔLE DE LA PRODUCTION ET DE LA PROPAGATION DU BRUIT DANS LES SYSTÈMES CVC EST UN ENJEU DE PLUS EN PLUS D’ACTUALITÉ DANS LE SECTEUR MARITIME, EN RAISON DE L’ATTENTE ACCRUE DES PASSAGERS ET DE L’ÉQUIPAGE EN MATIÈRE DE CONFORT ACOUSTIQUE, AINSI QUE DES RÉGLEMENTATIONS QUI EN DÉCOULENT (CONVENTION MARITIME: LIGNES DIRECTRICES B3.1.12 — PRÉVENTION DU BRUIT ET DES VIBRATIONS, B4.3.2 — EXPOSITION AU BRUIT ET B4.3.3 — EXPOSITION AUX VIBRATIONS; CONVENTION NO.188 ET NO.199 DE L’OIT, RÉSOLUTION A.468 (XII) APPELÉE CODE OMI. UNE ÉVALUATION CORRECTE DU BRUIT INDUIT PAR LE SYSTÈME DE CHAUFFAGE, DE VENTILATION ET DE CLIMATISATION EST DONC NÉCESSAIRE POUR ADOPTER DES STRATÉGIES ET DES SOLUTIONS À APPLIQUER LORS DE LA CONCEPTION INITIALE, EN ÉVITANT DES ACTIONS DE RÉCUPÉRATION COÛTEUSES ULTÉRIEURES. A CETTE FIN, LE PROJET BABORDO DÉVELOPPE UN SERVICE INTÉGRÉ DE CONTRÔLE DU BRUIT DES INSTALLATIONS À BORD DU NAVIRE, AFIN D’ÉVITER LES PERTES DE TEMPS ET D’ARGENT NÉCESSAIRES À L’AMÉLIORATION D’UNE
MULTI-COMPONENT YARN AND METHOD OF MAKING THE SAME

A combined yarn is provided containing a metallic strand and a non-metallic strand, wherein the metallic and non-metallic strands are combined by air interlacing the filaments or fibers of the non-metallic strand at intermittent points along their length, so that the metallic strand is encased in the non-metallic strand at least at some of the intermittent points; a composite yarn incorporating the combined yarn as at least one component, and articles and/or garments made from the combined yarn or composite yarn, and methods for the production of the combined and composite yarns.
Price discovery in equity and CDS markets

Abstract Price discovery contributions of equity and credit default swap (CDS) markets for U.S. firms with intraday data in 2009–2013 are examined using information and component shares metrics. Particular attention is paid to the drawbacks of these metrics because of unobservable factors such as microstructure noise and model error. While no market generally exhibits a price-discovery advantage, the CDS market's contribution increases strongly and significantly for after-hours OTC trading and for negative earnings surprises, especially with high firm-specific uncertainty. We provide some evidence that surprises contained in various macroeconomic announcements are associated with greater relative price discovery in the CDS market.
Spindelanordnung

Die Erfindung betrifft eine Spindelanordnung für ein Verschlusselement (2) eines Kraftfahrzeugs zur Ausführung von linearen Verstellbewegungen zwischen einem ersten und zweiten Anschluss, die eine Spindeleinheit (6) mit einer Spindelführungsbuchse (7) und einer darin beweglich gelagerten Spindel (8) mit einer axial verlaufenden Spindelachse (A) aufweist, wobei die Spindelführungsbuchse (7) mit der Spindel (8) derart in Eingriff steht, dass sich die Spindel (8) bei einer Verstellbewegung axial durch die Spindelführungsbuchse (7) bewegt, wobei die Spindelanordnung (1) ein rohrartiges Gehäuse (9) mit einem ersten Gehäuserohr (10) und einem damit teleskopierbaren zweiten Gehäuserohr (11) aufweist, wobei die Spindelführungsbuchse (7) axialfest zu dem ersten Gehäuserohr (10) und die Spindel (8) axialfest zu dem zweiten Gehäuserohr (11) ist, wobei das erste Gehäuserohr (10) mit dem einen Anschluss und das zweite Gehäuserohr (11) mit dem anderen Anschluss axialfest verbunden ist, wobei die Spindel (8) an einem innerhalb des ersten Gehäuserohrs (10) zwischen dem ersten Anschluss (4) und der Spindelführungsbuchse (7) angeordneten Spindelabschnitt ein Gleitelement (12) aufweist, das die Spindel (8) an einer Rohrinnenseite (13) radial abstützt. Es wird vorgeschlagen, dass das Gleitelement (12) derart elastisch verformbar ist, dass es eine radiale Kraft auf die Rohrinnenseite (13) ausübt, die bei Stillstand der Spindelanordnung (1) kleiner als beim Betrieb der Spindelanordnung (1) ist.
Neuro cerebellar recurrent network for motor sequence learning in neurorobotics

The new generation of compliant robots, designed to safely interact with humans in unstructured environments, require control systems able to naturally deal with their “biological features”. These robots can be efficiently controlled using biologically inspired control systems based on brain regions such as the cerebellum. This nucleus plays a key role in fluent body movements, being essential for adaptive motor control and coordination of body movements. 
The cerebellum was traditionally modelled as a feedforward network with two inputs and one output. Nevertheless, recent experimental studies have demonstrated the existence of multiple recurrent connections in the cerebellum: 1) nucleo-cortical connections (NCCs), and 2) nucleo-olivary connections (NOCs). These recurrent connections back-propagate the cerebellar output activity to the cerebellar inputs, thus shifting the feedforward toward a recurrent approach. NEUSEQBOT project will focus on the NCCs, studying how they contribute to the motor sequence learning capabilities in the cerebellum. This multidisciplinary study will combine neuroscientific experiments in animals, cerebellar modelling and neurorobotic applications. Firstly, we will experimentally study the NCC effect in the cerebellar dynamics during reflexive eyelid movements in optogenetically modified mice. The experimental results will be used to model a recurrent cerebellum. Finally, this cerebellar model will be tested in a neurorobotic object manipulation task using a compliant robotic arm. 
Within the objectives of H2020, NEUSEQBOT project aims to advance our understanding of how the cerebellum (as a recurrent network) processes the sensorimotor information to generate the required motor command sequences, applying this knowledge to develop biologically inspired control systems for neurorobotic applications with compliant robots. This work will enable the experienced researcher to enhance his position at the forefront of advances in these fields.
Deterministic Construction of Real-Valued Ternary Sensing Matrices Using Optical Orthogonal Codes

In this letter, a new class of real-valued matrices is presented for deterministic compressed sensing. A base matrix is constructed by cyclic shifts of binary sequences in an optical orthogonal code (OOC). Then, a Hadamard matrix is used for its extension, which ultimately produces a real-valued matrix that takes the entries of 0, -1 and +1 before normalization. The new sensing matrix forms a tight frame with small coherence, which theoretically guarantees the average recovery performance of sparse signals with uniformly distributed supports. Several example sensing matrices are presented by employing a special type of OOCs obtained from modular Golomb rulers.
Deriving Statistical Significance Maps for SVM Based Image Classification and Group Comparisons

Population based pattern analysis and classification for quantifying structural and functional differences between diverse groups has been shown to be a powerful tool for the study of a number of diseases, and is quite commonly used especially in neuroimaging. The alternative to these pattern analysis methods, namely mass univariate methods such as voxel based analysis and all related methods, cannot detect multivariate patterns associated with group differences, and are not particularly suitable for developing individual-based diagnostic and prognostic biomarkers. A commonly used pattern analysis tool is the support vector machine (SVM). Unlike univariate statistical frameworks for morphometry, analytical tools for statistical inference are unavailable for the SVM. In this paper, we show that null distributions ordinarily obtained by permutation tests using SVMs can be analytically approximated from the data. The analytical computation takes a small fraction of the time it takes to do an actual permutation test, thereby rendering it possible to quickly create statistical significance maps derived from SVMs. Such maps are critical for understanding imaging patterns of group differences and interpreting which anatomical regions are important in determining the classifier’s decision.KeywordsSupport Vector MachinePermutation TestNull DistributionVoxel Base AnalysisMedical Imaging DataThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
REmanufacture the food supply chain by testing INNovative solutions for zero inorganic WASTE

“Prevent waste disposal is more sustainable and less expensive”.In MED regions, innovation support services to agro-food chain is inadequate in the scope (confined to territorial domain)&transnational cooperation is poor. This traditional “local-based” approach to tech-transfer is currently a limit.REINWASTE aggregates, on MED scale, 3 influencing food "Clusters"(IT,FR,ES) (PPP made up of R&D, foodAssociations, Reg.representatives,IPA) in waste prevention field in agro-food, to enhance transnational network of competence, select & test best available solutions & quickly transfer this knowledge. REINWASTE aims to bring a concrete contribution to the reduction of inorganic waste, favouring the adoption of greener innovative concepts by agriculture&food industry, with focus on SMEs. According to a initial analysis combining advanced tech-solutions (from EU R&D projects, R&I centres)with real companies’ requirements, it tests them within 3 value chains (IT_diary; ES_horticulture; FR_Meat).Clusters assess feasibility to launch a new service to systematize offer-demand of innovative solutions for waste prevention. 3 ActionPlans to galvanize the targets set by S3 for SMES of primary&industry sector in MED regions.3 Protocols of waste minimisation in entire food chains.Transferability plans to other agro-food chains& other relevant sectors. A tailored mix of knowledge transfer services, based on a common open innovation approach, allow the mutual contamination & use of innovation.
Soutenir le maintien de l’activité économique de l’entreprise dans une situation de baisse significative du chiffre d’affaires due à la COVID-19

Le projet concerne le soutien au fonds de roulement de l’entreprise indiqué au point II.1 en cas de diminution significative du chiffre d’affaires (revenus des ventes) en raison de la perturbation de l’économie due à la COVID-19. L’aide servira à maintenir les activités d’une entreprise qui se trouve à la suite de la pandémie de COVID-19 dans une situation de pénurie soudaine et de perte de liquidités.
Origins of alzheimer's disease across the life-course

The origins of Alzheimer’s disease (AD) remain elusive. The long pre-clinical phase of AD is universally recognized, but it is not known when predisposition for AD develops nor when the first signs and symptoms become discernable. In this regard, an essential role is played by the ‘reserve’ capacity of the brain, which is built up in early life and acts as buffer against adverse risk factors later in life. However, life-time trajectories of build up and loss of reserve and its determinants remain poorly understood.
In ORACLE, I aim to unravel the origins of AD by studying reserve across the entire life-span: from in utero to end of life. The underlying hypothesis is that etiologic factors exert their effect on the risk of AD during the entire life-span, through build-up and loss of reserve. Such life-course approach to study reserve is worldwide unique and constitutes truly ground-breaking research aimed at unraveling the earliest origins of AD. Key objectives are:
1) To study trajectories of reserve across the entire lifespan.
2) To study factors that shape reserve in early life.
3) To study factors that determine onset and early loss of reserve.
I will compile a life-course cohort that consists of three population-based samples totalling 40,829 persons that together cover the entire life-span: children in Generation R Study (in utero – 18 yrs); parents in Generation R Study (18–45 yrs); and the Rotterdam Study (45 yrs – death). Reserve will be quantified structurally using imaging techniques that measure volumetry, perfusion and connectivity as well as functionally by measuring cognitive and non-cognitive brain functions. I will study genetic and non-genetic risk factors of AD and their effects on reserve.
Results from ORACLE will provide ground-breaking new insights into the earliest origins of AD. In turn, these insights are of major importance to enable the early identification of persons at highest risk of AD and develop targeted prevention for these persons.
Multidisciplinary european network for research, prevention and control of the covid-19 pandemic

I-MOVE-COVID-19 aims to obtain epidemiological, clinical and virological information about COVID-19 and patients infected with SARS-CoV-2, through provision of a flexible  surveillance platform (adaptable to the epidemiological situation), research studies, hypothesis-testing and evaluation of public health interventions (e.g. vaccination, antivirals) in order to contribute to the knowledge base, guide patient management, and inform the public health response. This will be achieved through adaptation and expansion of the existing, long-running, Europe-wide influenza surveillance network (I-MOVE) to include COVID-19. The network includes primary care networks, hospitals, national laboratory reference centres in eleven countries.

I-MOVE-COVID-19 priority activities and research projects will be selected based on ECDC/WHO input and the proposal’s detailed list. These will be conducted by mobilising an existing large European multidisciplinary network, combining the expertise and resources of groups working in surveillance (epidemiological, clinical, virological), respiratory disease research, and evaluation of vaccines/treatments. Through protocol sharing and pooling European results, questions will be answered which could not be efficiently answered by countries acting alone. I-MOVE-COVID-19 will share study results rapidly and widely with national and international partners and with the wider scientific community and contribute to clinical management of patients and public health preparedness and response to COVID-19.
Geometry of metric groups

What are the best trajectories to park a truck with several trailers?
How fast can a lattice grow? These are some of the questions studied in this project because both the infinitesimal control structure of movement of a truck and the asymptotic geometry of a (nilpotent) lattice are examples of metric groups: Lie groups with homogeneous distances.

The PI plans to study  geometric properties of metric groups and their implications to control systems and nilpotent groups. In particular, the plan is to exploit the relation between the regularity of distinguished curves, sets, and maps in subRiemannian groups, volume asymptotics in nilpotent groups, and embedding results.
The general goal is to develop an adapted geometric measure theory.

SubRiemannian spaces, and in particular Carnot groups, appear in various areas of mathematics, such as control theory, harmonic and complex analysis, asymptotic geometry, subelliptic PDE's and geometric group theory. The results in this project will provide more links between such areas.

The PI has developed a net of high-level international collaborations and obtained several results via a combination of analysis on metric spaces (differentiation of Lipschitz maps, tangents of measures, and Gromov-Hausdorff limits) and the theory of locally compact groups (Lie group techniques and the solutions of the Hilbert 5th problem). This allowed the PI to solve a number of open problems in the field, such as the analogue of Myers-Steenrod theorem on the smoothness of isometries, the analogue of Nash isometric embedding and the non-minimality of curves with corners.
Some of the next aims are to establish an analogue of the De Giorgi's rectifiability result for finite-perimeter sets and prove the smoothness of geodesics, a 30-year-old open problem.
The goal of this project is to tackle them, together with many more related questions.

The PI received his first degree at SNS Pisa (advisor: M.Abate) and his PhD from Yale University (advisor: B.Kleiner). Before obtaining a permanent position only three years after graduation, he was at ETH, Orsay, and MSRI. He received the prestigious position of research fellow of the Academy of Finland.