Senhor Uva is a unique restaurant that emphasizes a vegetarian concept, offering over 400 natural wines that complement its farm-to-table food approach. Owned by a diligent couple, the establishment aims to provide a harmonious dining experience.

The Ordem dos Fisioterapeutas advocates for the reorganization of human resources and services within Local Health Units to include physiotherapy services. Recently admitted unanimously to the Conselho Nacional das Ordens Profissionais, this marks a significant step in recognizing the profession's autonomy and user-centered approach.

This report characterizes the first cases of utero-cutaneous fistula (UCF) in ruminants, specifically ewes and cows, contributing to the understanding of this rare condition in pregnant animals. The study details clinical signs, laboratory findings, and follow-up information from four cases over a 12-year period. UCF, a rare consequence of dead fetus retention in end-stage pregnancy, was observed to cause significant health issues, including moderate depression, low feed intake, and weight loss. Surgical interventions varied, with some animals recovering and others succumbing to the condition. The report emphasizes the need for further studies to improve diagnosis and prevention of UCF in ruminants.

The paper presents a numerical approach for computing solitary wave solutions of the generalized Rosenau–Kawahara–RLW model, which is relevant in shallow water theory with surface tension. The study uses a finite difference approach and upwind local radial basis functions-finite difference for solving the model without the need for linearization. The technique is shown to produce sparse differentiation matrices, reducing computational burden. Numerical experiments demonstrate the method's precision and efficiency for long-time simulation.

The article emphasizes the importance of vaccination as a public health measure, reflecting on Brazil's past successes in eradicating diseases like poliomyelitis through mass vaccination campaigns. It highlights current concerns about declining vaccination rates and the potential resurgence of preventable diseases such as measles, meningitis, rubella, and diphtheria. The author, Antonio Carlos Lopes, underscores the need for continued vigilance and adherence to vaccination schedules, particularly in the context of the ongoing COVID-19 pandemic. The Ministry of Health's 2023 National Vaccination Program is outlined, stressing the importance of community responsibility and combating misinformation.

The study presents a novel approach for detecting weak adhesion in single-lap joints (SLJs) using Lamb Waves (LW) and machine learning techniques. A numerical model of SLJs with varying levels of weak adhesion was created and validated with experimental data. The research demonstrates that machine learning algorithms, particularly artificial neural networks, can effectively process LW data to detect weak adhesion with high accuracy. The integration of simulated and experimental data enhances the reliability and accuracy of adhesive bonding quality control, offering a promising technique for structural health monitoring and improving the safety and durability of bonded structures.

A new fractional-order Zener (AEF-Zener) model for viscoelastic (VE) dampers is proposed, incorporating the effects of ambient temperature and fractional-order equivalence. The model's parameters are determined using a chaotic fractional-order particle swarm optimization (CFOPSO) algorithm. The accuracy of the AEF-Zener model is validated through comparisons with experimental results, demonstrating its effectiveness in characterizing the energy dissipation capabilities of VE dampers under varying temperatures. The study highlights the model's potential for improving vibration reduction techniques in civil structures.

The article presents a novel numerical scheme using the matrix transfer technique to solve the time-fractional advection–dispersion equation (ADE) with distributed-order Riesz-space fractional derivatives. The method reformulates the distributed-order Riesz-space FDs using a second-order linear combination and employs a central difference approximation alongside the matrix transform technique. The distributed-order time-fractional ADE is transformed into a time-fractional ordinary differential equation in the Caputo sense, which is then discretized using the Simpson method. Theoretical stability, convergence, and error analysis are provided, and simulations substantiate the theoretical findings.

The study analyzes the urban microclimate of industrial districts in Sintra, Portugal, and Uberlândia, Brazil, using the ENVI-met software for computational simulations. It examines variables such as air temperature, humidity, wind speed, and albedo, and their impact on the urban microclimate. The results indicate that despite lower albedo and vegetation in Uberlândia's industrial area, air temperatures may be lower than in Sintra's unshaded surroundings. The study suggests that urban ventilation planning can contribute to sustainable urban development and proposes increasing the albedo of roofs in Uberlândia to potentially decrease air temperatures.

This paper introduces a differential operator on an open unit disk using the Borel distribution (BD) operator and convolution. New subclasses of p-valent functions are introduced through differential subordination, focusing on inclusion relations of these classes. The study also derives inclusion relations using the Bernardi integral operator and establishes convolution results for a class of analytic functions. The research provides a new perspective for developing p-univalent functions with BD and contributes to complex analysis.

A case of suppurative meningoencephalitis in a Gir cow caused by Pseudomonas aeruginosa from chronic otitis was reported. The cow exhibited neurological symptoms and was euthanized due to poor prognosis. Clinical, laboratory, and pathological features were described, highlighting the direct extension of infection from the ear to the central nervous system. The study emphasizes the importance of awareness among veterinarians and farmers regarding the risk of CNS infections following unresolved otitis, particularly in cattle breeds prone to parasitic otitis.

A novel fault detection and identification method combining Kernel Principal Component Analysis (KPCA) and Long Short-Term Memory (LSTM) neural networks is proposed. The method reduces data dimensionality using KPCA, clusters data with K-means, and identifies fault types with LSTM. Tested on a continuous stirred tank reactor (CSTR) system, the approach outperforms traditional methods like PCA, SVM, KNN, and decision trees, achieving 99.09% accuracy in fault identification. The method is effective for various industrial applications, offering high accuracy and efficiency in detecting and identifying faults.

The paper presents a spectral collocation technique for solving a two-dimensional multi-term time fractional viscoelastic non-Newtonian fluid model. The method involves a modification of the spectral approach, leading to an algebraic system of equations that provides an approximate symmetric solution. Numerical examples demonstrate the technique's effectiveness in terms of accuracy and convergence. The study highlights the advantages of fractional calculus in describing complex fluid behaviors and provides a detailed theoretical analysis along with numerical tests to validate the proposed method.

The study investigates the willingness of residents in the Alvalade neighborhood of Lisbon to adapt their behavior in response to urban climate change scenarios. Using microclimatic modeling with ENVI-met and resident questionnaires, the research reveals that while residents are aware of local climate change and health risks from extreme heat, they are resistant to changing their behavior. The study also finds that residents believe local authorities should take more responsibility for climate change adaptation. The findings highlight the importance of public participation in decision-making processes to mitigate adverse climate effects in urban environments.

The article presents the design and numerical validation of a thread-optimized gripping system for testing Single Lap Joint (SLJ) specimens using a Split Hopkinson Bar (SHB) apparatus. The study focuses on optimizing the thread type, diameter, and pitch to minimize wave reflections and ensure accurate mechanical characterization of adhesives under high strain rates. The optimal thread configuration was found to be a trapezoidal thread with a 14 mm diameter and a 2 mm pitch. The gripping system was validated by comparing load-displacement curves from SHB and drop-weight tests, showing good agreement and confirming the system's effectiveness.

The article introduces a complex-order beetle swarm optimization (CBSO) method to enhance the accuracy of lithium-ion battery models. By integrating complex-order operator concepts and mutation into traditional beetle swarm optimization, the CBSO method improves parameter identification for fractional-order equivalent circuit models of lithium-ion batteries. The study demonstrates that CBSO achieves superior model accuracy compared to fractional-order BSO, as evidenced by lower root-mean-square error and maximum absolute error metrics. The research highlights the potential of CBSO in improving battery state estimation and management systems.

This work introduces the concepts of rectangular Menger probabilistic metric (RMPM) space and rectangular Menger probabilistic b-metric (RMPbM) space as generalizations of existing metric spaces. It provides nonunique fixed-point and coupled-fixed-point results for contractive mappings, extending and improving outcomes in the literature. The main results are illustrated with examples and validated through an application to a system of integral equations. The study highlights the importance of non-Hausdorff topology spaces in areas like computer science, particularly in programming language semantics.

The study explores the use of multidimensional scaling (MDS) to evaluate the performance of fractional-order variable structure controllers (VSCs) applied to a revolute planar robotic manipulator. The research demonstrates that fractional derivatives can be obtained through numerical real-time signal processing or sensors with fractional dynamics. Various combinations of integer and fractional VSCs and sliding modes were tested, and performance indices in time and frequency domains were used to compare system states. The MDS technique effectively visualized the system behavior, showing that fractional-order control can enhance performance and robustness in robotic manipulators.

The article critiques the socio-economic and political landscape of Brazil, highlighting issues such as economic inequality, corruption, and the state's failure to provide essential social goods. It discusses the impact of consumerism, the alienation caused by modern technology, and the inadequacies of public policies. The text references various thinkers and cultural figures to underscore its points, ultimately painting a bleak picture of a society plagued by violence, economic disparity, and ineffective governance.