GAME-THEORETICAL ANALYSIS OF A GLOBAL AGREEMENT TO HALT DEFORESTATION

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Mind Mapping: A Strategy to Promote Interprofessional Collaboration among Health Science Students

Purpose/Background: This presentation will provide participants with an understanding of what mind mapping is and engage participants in a discussion and hands on experience of how mind mapping can be used to prepare students for interprofessional collaborative practice and integrate patient centered models of care. Managing a patient’s plan of care requires health care practitioners to share and integrate data in order to formulate a plan of care. How to engage with other disciplines is often developed during student’s clinical educational experiences. Assisting and engaging students during the academic portion are essential to prepare them for interprofessional collaborative practice. Mind Mapping is an innovative instructional strategy which focuses on integrating information using a 360 non-linear approach. Mind maps require learners to think not only in a curvilinear manner but also use visuospatial relationships which flow from a central concept. For students, using this 360 approach to explore and connect concepts and themes a rich environment for content integration emerges. Mind mapping is emerging as a positive teaching and learning strategy for health science students however there has been limited evidence supporting its efficacy in interprofessional education. Descriptions of Program Mind mapping can be infused at several points within an interprofessional curriculum. Faculty can model for students their own integration of knowledge by creating and sharing their mind maps. Alternately, IPE student groups can create mind maps and thereby engage in self-directed active learning. These options provide rich experiences for students to work on integrating content knowledge across disciplines for the development of robust interprofessional patient-centered care. Preliminary Result on Mind Mapping used in an interprofessional curriculum as well as students’ perceptions will be shared. Conclusion /Relevance to interprofessional education or practice Using a mind maps non-linear approach to learning provides may further aid student’s ability to critically reflect upon and analyze the necessary information, to develop and modify a patient’s interprofessional plan of care. This model of infusion of mind maps can be utilized in interprofessional curricular to prepare students for collaborative practice. Learning Objectives: Participants will be able to: describe the tenets associated with the development of a mind map for IPE discuss a model of infusion of mind maps for interprofessional education and collaborations recognize how to integrate mind maps into their interprofessional curricular model

2019 Technical Report: a Review of Age Verification Mechanism for 10 Social Media Apps

This technical report analyzes the 10 most used apps among children aged 8-12: Snapchat, Instagram, Tiktok, Viber, Skype, Facebook, HouseParty, Discord, Messenger, WhatsApp. For each application we assess whether the terms of use specify a minimum age that is compliant with the GDPR and whether the specified age is the same across all EU countries. We also verify whether each app provides mechanisms to verify the age of the user and how easy is to circumvent the verification mechanisms. The remainder of this report discusses the results of our study providing evidence to support the answers provided for each question

Novel spectral kurtosis technology for adaptive vibration condition monitoring of multi-stage gearboxes

In this paper, the novel wavelet spectral kurtosis (WSK) technique is applied for the early diagnosis of gear tooth faults. Two variants of the wavelet spectral kurtosis technique, called variable resolution WSK and constant resolution WSK, are considered for the diagnosis of pitting gear faults. The gear residual signal, obtained by filtering the gear mesh frequencies, is used as the input to the SK algorithm. The advantages of using the wavelet-based SK techniques when compared to classical Fourier transform (FT)-based SK is confirmed by estimating the toothwise Fisher's criterion of diagnostic features. The final diagnosis decision is made by a three-stage decision-making technique based on the weighted majority rule. The probability of the correct diagnosis is estimated for each SK technique for comparison. An experimental study is presented in detail to test the performance of the wavelet spectral kurtosis techniques and the decision-making technique

Nancy: An efficient parallel Network Calculus library

This paper describes Nancy, a Network Calculus (NC) library that allows users to perform complex min-plus and max-plus algebra operations efficiently. To the best of our knowledge, Nancy is the only open-source library that implements operations working on arbitrary piecewise affine functions, as well as to implement some of them (e.g. sub-additive closure and function composition). Nancy allows researchers to compute NC results using a straightforward syntax, which matches the algebraic one. Moreover, it is designed having computational efficiency in mind: it exploits optimizations of data structures, it uses inheritance to allow for faster algorithms when they are available (e.g., for specific subclasses of functions), and it is natively parallel, thus reaping the benefit of multicore hardware. This makes it usable to solve NC problems which were previously considered beyond the realm of tractable

Effect of the geometry on the nonlinear vibrations of functionally graded cylindrical shells

In this paper, the effect of the geometry on the nonlinear vibrations of functionally graded (FGM) cylindrical shells is analyzed. The Sanders-Koiter theory is applied to model nonlinear dynamics of the system in the case of finite amplitude of vibration. Shell deformation is described in terms of longitudinal, circumferential and radial displacement fields; the theory considers geometric nonlinearities due to the large amplitude of vibration. Simply supported boundary conditions are considered. The displacement fields are expanded by means of a double mixed series based on harmonic functions for the circumferential variable and Chebyshev polynomials for the longitudinal variable. Both driven and companion modes are considered, allowing for the travelling-wave response of the shell. The functionally graded material is made of a uniform distribution of stainless steel and nickel, the material properties are graded in the thickness direction, according to a volume fraction power-law distribution.The first step of the procedure is the linear analysis, i.e. after spatial discretization mass and stiff matrices are computed and natural frequencies and mode shapes of the shell are obtained, the latter are represented by analytical continuous functions defined over all the shell domain. In the nonlinear model, the shell is subjected to an external harmonic radial excitation, close to the resonance of a shell mode, it induces nonlinear behaviors due to large amplitude of vibration. The three displacement fields are re-expanded by using approximate eigenfunctions, which were obtained by the linear analysis; specific modes are selected. An energy approach based on the Lagrange equations is considered, in order to reduce the nonlinear partial differential equations to a set of ordinary differential equations.Numerical analyses are carried out in order characterize the nonlinear response, considering different geometries and material distribution. A convergence analysis is carried out in order to determine the correct number of the modes to be used; the role of the axisymmetric and asymmetric modes carefully analyzed. The analysis is focused on determining the nonlinear character of the response as the geometry (thickness, radius, length) and material properties (power-law exponent and configurations of the constituent materials) vary; in particular, the effect of the constituent volume fractions and the configurations of the constituent materials on the natural frequencies and nonlinear response are studied.Results are validated using data available in literature, i.e. linear natural frequencies

Neural Substrates of Chronic Pain in the Thalamocortical Circuit

Chronic pain (CP), a pathological condition with a large repertory of signs and symptoms, has no recognizable neural functional common hallmark shared by its diverse expressions. The aim of the present research was to identify potential dynamic markers shared in CP models, by using simultaneous electrophysiological extracellular recordings from the rat ventrobasal thalamus and the primary somatosensory cortex. We have been able to extract a neural signature attributable solely to CP, independent from of the originating conditions. This study showed disrupted functional connectivity and increased redundancy in firing patterns in CP models versus controls, and interpreted these signs as a neural signature of CP. In a clinical perspective, we envisage CP as disconnection syndrome and hypothesize potential novel therapeutic appraisal

Nonlinear vibrations of functionally graded cylindrical shells: Effect of the geometry

In this paper, the effect of the geometry on the nonlinear vibrations of functionally graded (FGM) cylindrical shells is analyzed. The Sanders-Koiter theory is applied to model the nonlinear dynamics of the system in the case of finite amplitude of vibration. The shell deformation is described in terms of longitudinal, circumferential and radial displacement fields. Simply supported boundary conditions are considered. The displacement fields are expanded by means of a double mixed series based on harmonic functions for the circumferential variable and Chebyshev polynomials for the longitudinal variable. In the linear analysis, after spatial discretization, mass and stiff matrices are computed, natural frequencies and mode shapes of the shell are obtained. In the nonlinear analysis, the three displacement fields are re-expanded by using approximate eigenfunctions obtained by the linear analysis; specific modes are selected. The Lagrange equations reduce nonlinear partial differential equations to a set of ordinary differential equations. Numerical analyses are carried out in order to characterize the nonlinear response of the shell. A convergence analysis is carried out to determine the correct number of the modes to be used. The analysis is focused on determining the nonlinear character of the response as the geometry of the shell varies

Isospeed: Improving (min,+) Convolution by Exploiting (min,+)/(max,+) Isomorphism (Artifact)

(min,+) convolution is the key operation in (min,+) algebra, a theory often used to compute performance bounds in real-time systems. As already observed in many works, its algorithm can be computationally expensive, due to the fact that: i) its complexity is superquadratic with respect to the size of the operands; ii) operands must be extended before starting its computation, and iii) said extension is tied to the least common multiple of the operand periods. In this paper, we leverage the isomorphism between (min,+) and (max,+) algebras to devise a new algorithm for (min,+) convolution, in which the need for operand extension is minimized. This algorithm is considerably faster than the ones known so far, and it allows us to abate the computation times of (min,+) convolution by orders of magnitude

Isospeed: Improving (min,+) Convolution by Exploiting (min,+)/(max,+) Isomorphism

(min,+) convolution is the key operation in (min,+) algebra, a theory often used to compute performance bounds in real-time systems. As already observed in many works, its algorithm can be computationally expensive, due to the fact that: i) its complexity is superquadratic with respect to the size of the operands; ii) operands must be extended before starting its computation, and iii) said extension is tied to the least common multiple of the operand periods. In this paper, we leverage the isomorphism between (min,+) and (max,+) algebras to devise a new algorithm for (min,+) convolution, in which the need for operand extension is minimized. This algorithm is considerably faster than the ones known so far, and it allows us to reduce the computation times of (min,+) convolution by orders of magnitude