Miracle-dz/UniFAR-FTUs huggingface dataset:
Percussion instrument modelling In 3D: sound synthesis through time domain numerical simulation

This work is concerned with the numerical simulation of percussion instruments based on physical principles. Three novel modular environments for sound synthesis are presented: a system composed of various plates vibrating under nonlinear conditions, a model for a nonlinear double membrane drum and a snare drum. All are embedded in a 3D acoustic environment. The approach adopted is based on the finite difference method, and extends recent results in the field. Starting from simple models, the modular instruments can be created by combining different components in order to obtain virtual environments with increasing complexity. The resulting numerical codes can be used by composers and musicians to create music by specifying the parameters and a score for the systems. Stability is a major concern in numerical simulation. In this work, energy techniques are employed in order to guarantee the stability of the numerical schemes for the virtual instruments, by imposing suitable coupling conditions between the various components of the system. Before presenting the virtual instruments, the various components are individually analysed. Plates are the main elements of the multiple plate system, and they represent the first approximation to the simulation of gongs and cymbals. Similarly to plates, membranes are important in the simulation of drums. Linear and nonlinear plate/membrane vibration is thus the starting point of this work. An important aspect of percussion instruments is the modelling of collisions. A novel approach based on penalty methods is adopted here to describe lumped collisions with a mallet and distributed collisions with a string in the case of a membrane. Another point discussed in the present work is the coupling between 2D structures like plates and membranes with the 3D acoustic field, in order to obtain an integrated system. It is demonstrated how the air coupling can be implemented when nonlinearities and collisions are present. Finally, some attention is devoted to the experimental validation of the numerical simulation in the case of tom tom drums. Preliminary results comparing different types of nonlinear models for membrane vibration are presented.
Tensor Algorithms for Advanced Sensitivity Metrics

Following up on the success of the analysis of variance (ANOVA) decomposition and the Sobol indices (SI) for global sensitivity analysis, various related quantities of interest have been defined in the literature, including the effective and mean dimensions, the dimension distribution, and the Shapley values. Such metrics combine up to exponential numbers of SI in different ways and can be of great aid in uncertainty quantification and model interpretation tasks, but are computationally challenging. We focus on surrogate-based sensitivity analysis for independently distributed variables, namely, via the tensor train (TT) decomposition. This format permits flexible and scalable surrogate modeling and can efficiently extract all SI at once in a compressed TT representation of their own. Based on this, we contribute a range of novel algorithms that compute more advanced sensitivity metrics by selecting and aggregating certain subsets of SI in the tensor compressed domain. Drawing on an interpretation of the .
Deployment e Testes de Controladores Inteligentes da RAN no Testbed do Projeto OpenRAN@Brasil

A virtualização de funções de rede e a desagregação de componentes demandam o gerenciamento dos recursos da Radio Access Network (RAN) através de um controlador central conhecido como RAN Intelligent Controller (RIC). Os RICs da Open Networking Foundation (ONF), O-RAN Software Community (OSC) e OpenAirInterface (OAI) fornecem soluções quase completas para o gerenciamento da RAN. Neste artigo, setups são criados para cada RIC que testam operações essenciais relacionadas ao monitoramento de Key Performance Indicators (KPIs), ao slicing de recursos da rede ou a ambos. Usando esses setups, monitoramos as métricas da RAN por meio de interfaces gráficas e demonstramos a criação de slices de rede.
Virtual Coupling-Based H∞ Active Fault-Tolerant Cooperative Control for Multiple High-Speed Trains With Unknown Parameters and Actuator Faults

This paper investigates the cooperative control problem of multiple high-speed trains subject to unknown parameters and actuator faults. The cooperative operation of multiple high-speed trains is modeled as a coupled control system. On the basis of the virtual coupling technique, the $\mathscr {H}_{\infty} $ active fault-tolerant cooperative control scheme is established to guarantee the desired tracking performances and cooperative performances. The adaptive control technique is adopted to estimate the unknown Davis’ coefficients and the fault parameters and linear matrix inequalities are utilized to derive the control gain of the cooperative control protocols for the trains. Rigorous analysis is provided to corroborate the closed-loop stability of the cooperative train control system and numerical simulation is conducted to verify the effectiveness and feasibility of the proposed results.
Infecção do sítio cirúrgico em pacientes submetidos a cirurgias neurológicas e ortopédicas

Objetivo: analisar a incidência das infecções de sítio cirúrgico (ISC) em pacientes submetidos a cirurgias neurológicas e ortopédicas e seus determinantes em um hospital público. Método: estudo de coorte retrospectivo, conduzido entre pacientes submetidos a cirurgias neurológicas e ortopédicas, de janeiro de 2015 a dezembro de 2020. Resultados: dos 3.029 procedimentos cirúrgicos realizados, 1.327 (43,8%) foram neurocirúrgicos; e 1.702 (56,2%), ortopédicos. A incidência da ISC foi 6,7% (89) em neurocirurgias e 3,3% (56) em ortopedias. A taxa global e de óbitos foi 4,8% e 12,4%, respectivamente. Na análise univariada, os fatores de risco associados às ISC em neurocirurgiasenvolveram tempo cirúrgico (>231 minutos), pontuação da American Society of Anesthesiologistsmaior que doise cirurgias emergenciais; para os procedimentos ortopédicos: cirurgias emergenciais, tempo de internação pré-operatório (>quatro dias) e cirúrgico (>149 minutos). Na análise multivariada, permaneceram cirurgias emergenciais e maior tempo cirúrgico como fatores de risco de ISC para ambas as especialidades;e, para as cirurgias ortopédicas e neurológicas, tempo de internação pré-operatório e classificação ASA, respectivamente. Conclusão: a taxa de incidência das ISC e de mortalidade bem como os fatores de risco identificados neste estudo devem ser considerados para elaborar estratégias destinadas a prevenir e controlar essas infecções.
Equivalences of Riemann Integral Based on p-Norm

In the usual Riemann integral setting, the Riemann norm or a mesh is adopted for Riemann sums. In this article, we use the p-norm to define the p-integral and show the equivalences between the Riemann integral and the p-integral. The p-norm provides an alternative approach to define the Riemann integral. Based on this norm, we also derive some other equivalences of the Riemann integral and the p-integral.
Upward Transport of Westerly Momentum due to Large-Scale Disturbances in the Equatorial Lower Stratosphere

The vertical transport of zonal momentum due to the large-scale westward moving disturbances with a period of about four days in the westerlies of the equatorial lower stratosphere is studies by spectral analyses for the data of special observations over the tropical Pacific during the periods from March to July 1958 and from April to July 1962. By neglecting the effects of heat source and horizontal advection in the thermodynamic equation, the quadrature-spectral estimates between the zonal wind component and temperature are shown to give a measure of the vertical transport of zonal mementum. An analysis at the 50-mb level shows that the vertical transport of westerly momentum due to the disturbances in the period range of three to five days is upward all over the equatiorial area within the latitudes of ten degrees. The maximum upward transport of westerly momentum at this level is roughly 2 x 10 (m. sec 1) 2 at about 6 ° latitude, and rather less at the equator. The disturbances are shown to carry the sensible heat poleward, and upward transport of wave energy due to the disturbances is implied.
MEMS-based laser scanning patterns: programming and experiments

Laser scanners using Micro-Electro-Mechanical Systems (MEMS) with oscillatory mirrors are one of the most promising types of such devices. The aim of this work is to approach the implementation of various scan patterns using such MEMS scanners. Raster, spiral, and Lissajous scan patterns are programmed and generated, with different characteristic parameters. The starting point of the study is our approach on raster scanning using galvanometer-based scanners (GSs) to design optimal functions of such systems. In this respect, MEMS scanners are a particular case of GSs for which both oscillatory mirrors are placed in the same plane, thus improving the focusing of the device. A comparison is made between such scanning modalities: performances are evaluated based on the several criteria such as speed, resolution, field-of-view (FOV), fill factor (FF) and linearity of the generated scan patterns. Experimental validations are performed to determine the offset that is occurred in the actual implementation. Possible applications where this scanning technique may be preferred are pointed out.
A dynamical systems novel approach for accurate human eyes location

Abstract To accurately locate human eye features, such as eye contours, iris boundaries and the coordinates of pupil centers and canthi, a hierarchical approach was proposed. First, an AdaBoost based eye detector was trained for extracting the sub-images containing eyes areas, and the sub-images were enhanced by single-scale Retinex algorithm. Second, the pupil centers and iris boundaries were located by gradient Hough circle transform in the sub-images. Third, the eyes areas were segmented by FCM clustering for constructing the initial signed distance function which was the Level Set function of C-V Model. Finally, the eye contours and canthi were located using C-V Model. With the combination of FCM clustering and C-V Model, the convergent speed of C-V Model was increased by 64.1% on the Purdue AR face test set, while the locating accuracy was increased by 8.3%. This approach is immune to complicated background and illumination changes, showing its high robustness. Results prove the efficiency of this approach.
Adverse effects after vaccination against SARS-CoV-2 (COVID-19) in Down syndrome adults

Introdução: Comorbidades em adultos com síndrome de Down são comuns tornando-os um grupo de risco para COVID-19. Dessa forma, vacinar contra a COVID-19 torna-se necessária, mas requer cuidados contra possíveis efeitos colaterais.Objetivo: Pesquisar possíveis efeitos adversos após vacinação contra COVID-19 em adultos com Síndrome de Down (SD). Metodologia: Estudo descritivo no qual 97 adultos diagnosticados com SD foram entrevistados por meio de um questionário contendo dezessete questões relacionadas a dados pessoais e histórico, e sete questões relacionadas à vacinação. Resultados: A vacina mais aplicada foi a AstraZeneca (94%), Pfizer (4%) e CoronaVac (2%); 74% dos sujeitos apresentaram efeitos adversos, sendo os mais frequentes após a primeira dose: dor no local da injeção (65,3%), febre (37,9%), dores musculares (37,8%), mal-estar (29,5%); na segunda dose houve diminuição desses efeitos adversos; 95% dos sintomas desapareceram após as primeiras 24 horas após a aplicação. Conclusão: Mais da metade dos indivíduos entrevistados apresentou efeitos adversos após a aplicação da primeira dose da vacina, diminuindo com a segunda dose; a mais frequente foi a dor no local de aplicação.
A Modification of the Rabin Cryptosystem Based on Cubic Residues

In the Rabin cryptosystem there are four different decryption results for each ciphertext. Thus, extra complexity is required on decryption to identify which of the four possible decryption results is the true plaintext. We propose a modification of the Rabin cryptosystem based on cubic residues. Let p and q be primes, N  pq . The sender Bob computes ciphertext 3 c  m (mod N) to Alice, where m is a confidential message. Alice decrypts the ciphertext c by the proposed method in this paper and gets the only one plaintext m. The proposed cryptosystem is provably secure against a chosen plaintext attack if and only if the integer factorization problem is hard.
KNOWLEDGE MANAGEMENT IN INTERNATIONAL COMPANIES: SPECIFIC FEATURES AND INFORMATION TOOLS

The increasing importance of innovation as a factor in the effectiveness and competitiveness of companies makes them pay special attention to the processes of obtaining and using knowledge that require special management. International companies, being innovatively active for expansion, are a special subject of knowledge management (KM). In such companies, KM has significant specific features related to their structure, which includes foreign subsidiaries, and the nature of their activities, covering different national markets. Due to the specifics of such companies, they widely use information technology in management and, in particular, use special information tools for KM.The research is aimed to characterize the specific features of KM in international companies and to provide the rationale behind using new information tools for KM, which can be used to improve the effectiveness of innovation.The main focus of the paper is on the specific features of KM in international companies, taking into account their structure and nature of activities, namely: 1) specific features related to the content of the KM, taking into account the number of subsidiaries, the scale of activities, the complexity of tasks, etc.; comparison of the models of internalization and externalization in obtaining new knowledge by companies; 2) specific features related to the internal environment (involvement of all levels of management, multicultural environment, creation of communities of intensive knowledge); 3) specific features related to the external environment, covering interaction with consumers, partners and authorities of different countries; 4) specific features related to the innovative activity (distribution of powers between the parent company and subsidiaries, coordination of research and development (R&D), organization of innovation processes). The global approach of international companies to the development of innovations is substantiated, which determines the content of KM, as well as the need to create a KM system, part of which is information tools. Their improvement allows for enhancing the quality of KM and the effectiveness of innovation. In terms of KM in an international company, the purpose of such information tools as an R&D management information system, a single innovation management platform, a tool for formalizing knowledge, and a corporate knowledge base, is determined. In the future, it is expected to study the effects of the proposed tools, highlight the problems of their introduction and operation, as well as a set of measures to overcome these problems.
The Correlation between Genotype Richness of Submerged Macrophytes and Periphyton Biomass: A Mesocosm Study Based on Five Dominant Submerged Macrophytes from Yangtze River

Submerged macrophyte and periphyton are main primary producers which strongly interact with each other in clear water shallow lakes. In this study, the effects of genetic variation of the macrophyte species on periphyton biomass were studied in five submerged species. A two-year mesocosm study was conducted with four levels of genetic diversity (1, 4, 8 and 16 genotypes) for each submerged macrophyte, including 1600 individuals and 320 boxes in 20 mesocosms. Of the five submerged species, only Vallisneria spinulosa showed a positive correlation between its levels of genotype richness and the periphyton biomass. The correlation between genetic distance of genotypes and periphyton biomass was tested, which varied with the difference of seasons and species. In summary, we found that in freshwater mesocosms, the genetic diversity of submerged macrophytes may play a role in regulating the periphyton biomass, but the interaction between genetic diversity of macrophytes and periphyton biomass was not straightforward. This study will provide new insights into the interaction dynamics between the two primary producers in shallow lakes.
OTEC PERFORMANCE EVALUATION USING DIFFERENT WORKING FLUIDS AND VARIATIONS IN OPERATING ORC CONDITIONS

Ocean Thermal Energy Conversion (OTEC) is a system that produce energy of electricity by exploiting the temperature difference between surface part of seawater and deep region of seawater. The thermal energy at the surface seawater is used to convert working fluid into vapor which expands in the turbine to generate electricity and revert into liquid state by rejecting heat to cold seawater pumped from deep region of seawater. Basically, there are various types of working fluids that can be applied in an OTEC system depending on its contribution towards the performance of the system. In this study, the thermodynamics efficiency and net power output of basic OTEC system will be evaluated by varying three parameters which are the turbine inlet temperature, turbine inlet pressure and condenser outlet temperature using various working fluids through simulation using MATLAB. Simulation results indicate that R717 excels in producing the highest net power output but R600a has the best average value in thermodynamic efficiency. The findings of this work can contribute in giving an insight on which working fluid has the optimal characteristics in obtaining the best performance of the OTEC system.
Mutual coherence enhancement in coupled lasers

Experimentally, mutually coupled quantum dot lasers demonstrate a greatly reduced modal linewidth when mutually phase-locked. The authors investigate this phenomenon theoretically. Specifically, they examine a delay differential equation coupled phase model and use it to find the laser linewidth in several configurations. The numerical results are in excellent agreement with previously reported experimental findings. They show that while the model predicts a restoring force on the phase difference of the coupled lasers, this translates to an effective restoring force on the individual laser phases. The phenomenon should be robust to changes in device type and in particular for modern, integrated coupled lasers.
Transient Solutions of an Isotropic Thermostatic Pervious Half Space Subjected to a Point Hot Fluid Injection

Elastic transient deformation of a half space due to a point of hot fluid injection at constant rate is studied in this paper. The half space ground surface is modelled as a thermostatic pervious boundary. Biot’s three-dimensional consolidation theory with thermal effect is introduced to derive the analytical solutions of the transient consolidation deformation due to a point of hot fluid injection. The stratum is modelled as a saturated isotropic poroelastic half space. Using Laplace and Hankel integral transforms, closed-form solutions of the horizontal and vertical displacements are obtained. The maximum ground surface horizontal displacement can be exactly derived, and it is around 30% of the maximum ground surface vertical displacement. Moreover, the golden ratio appears in the maximum ground surface horizontal displacement and corresponding vertical displacement of a half space. The study concludes that golden ratio emerges in this phenomenon, and the horizontal displacement should be properly considered in the prediction of vertical displacement induced by a hot fluid injection. The study can provide better understanding of the hot fluid injection induced responses of an isotropic porous elastic half space.
Anti-Mach type metrics and superalgebras in M-theory

The plan of this PoTP is the following: In the Section (1) we will review the technical details of the contruction of 16+ Hpp-waves and the various constraints that come popping up and will discuss some solutions, especially the so-called time-dependent Hpp-waves: They are distinguished from the more familiar Cahen-Wallach Hpp-waves by the fact that they are not symmetric spaces, rather they are naturally reductive naturally reductuve spaces. In Section (2) we will make use of the general prescription for attributing a superalgebra to a supersymmetric solution, see e.g [16], in order to derive the generic form of the superalgebra. We will then discuss the exact form of the superalgebra for the examples exhibited in Sec. (1).
Semaine d'Etude Mathématiques et Entreprises 9 : Testing the reliability of a true random generator at run time

We tackle the problem of deciding at run time if the output of a true random generator seems reliable or not. We must consider the context, namely the limited available memory and the need to answer yes or no in a very short time. We explore three points of view: a Boolean functions based approach by the way of the study of the non-linearity, an algebraic and computational approach by the way of sub word complexity and then a spectral approach by the way of Fourier transform and statistical analysis of the Fourier transformed sequence by the Shapiro-Wilk test.
Improving Drug–Drug Interaction Extraction with Gaussian Noise

Drug–Drug Interactions (DDIs) produce essential and valuable insights for healthcare professionals, since they provide data on the impact of concurrent administration of medications to patients during therapy. In that sense, some relevant works, related to the DDIExtraction2013 Challenge, are available in the current technical literature. This study aims to improve previous results, using two models, where a Gaussian noise layer is added to achieve better DDI relationship extraction. (1) A Piecewise Convolutional Neural Network (PW-CNN) model is used to capture relationships among pharmacological entities described in biomedical databases. Additionally, the model incorporates multichannel words to enrich a person’s vocabulary and reduce unfamiliar words. (2) The model uses the pre-trained BERT language model to classify relationships, while also integrating data from the target entities. After identifying the target entities, the model transfers the relevant information through the pre-trained architecture and integrates the encoded data for both entities. The results of the experiment show an improved performance, with respect to previous models.
Shift Work as a Cardiovascular Disease Risk Factor: A Narrative Review

Shift work has emerged as a significant health concern in recent years, and research has revealed a link to circadian rhythm dysregulation and atherosclerosis, both of which can increase the risk of cardiovascular disease (CVD). Currently, there is a lack of updated reviews regarding the impact of shiftwork on CVD. Thus, the present narrative review aims to provide a comprehensive summary of the latest research on the relationship between shift work and CVD, identify potential gaps in the current knowledge, and highlight areas for future research. Database searches for peer-reviewed articles published between January 2013 to January 2023 on shift work associated CVD revealed many studies that found shift work is linked with increased prevalence of carotid artery plaque, increased arterial stiffness, and carotid artery intima-media thickness (IMT) all suggestive of a progression of atherosclerosis attributable to shift work. Hypertension, diabetes, and a sedentary lifestyle are known risks for CVD, and the results of the present study suggest that shift work should be added to that list. The elevation of inflammatory markers and DNA damage in shift workers may be linked to their increased progression of atherosclerosis and the positive association of shift work with coronary artery disease. There are minimal studies on mitigating approaches for shift work-related CVD, such as diet modification or exercise, emphasizing the need for further directed research in this area.