Performing Near Field Acoustic Holography Scans for the Purpose of Finding the Acoustic Impedance of a Violin

This project aimed to measure the acoustic impedance of the violin so that the violin can be better understood from an acoustic standpoint. Near field acoustic holography scans are to be conducted at the open A string resonance of the violin (440 Hz). Pressure microphones along the back plate of the violin allow pressure and particle velocity to be measured, and with that, the acoustic impedance to be calculated and mapped in 1 cm x 1cm increments. This work presents a guide for this procedure. The set-up method and materials used are detailed and the analysis and computations of values are described in the presentation

In situ performance and numerical analysis of lining systems for waste containment

Growing environmental awareness has led to developments within landfill engineering, increasing the amount of research with the aim of constructing safe, stable landfills with optimal geometry. EU member states are forced to improve waste disposal policies through directives (Council of the European Union 1999) enforced in member countries through local legislation (in the UK, The Landfill (England and Wales) Regulations 2002). This research focuses on several aspects of waste barrier in situ performance. A field study was conducted on a landfill side slope to investigate geosynthetics mechanical behaviour in service conditions and on a landfill capping to investigate capping geosynthetic drainage system performance in situ conditions and pore water distributions along the capping. Further site derived data were collected in order to validate numerical modelling approaches, to increase confidence in a design processes and to investigate mechanisms incorporated in the liner s performance. The side slope studies revealed an additional factor affecting lining components displacement along the slope: geomembrane and geotextile response to atmospheric conditions. The capping study allowed production of recommendations for future capping designs. These can be used to considerably enhance capping stability

Computer-Aided Drug Design and Drug Discovery: A Prospective Analysis

In the dynamic landscape of drug discovery, Computer-Aided Drug Design (CADD) emerges as a transformative force, bridging the realms of biology and technology. This paper overviews CADDs historical evolution, categorization into structure-based and ligand-based approaches, and its crucial role in rationalizing and expediting drug discovery. As CADD advances, incorporating diverse biological data and ensuring data privacy become paramount. Challenges persist, demanding the optimization of algorithms and robust ethical frameworks. Integrating Machine Learning and Artificial Intelligence amplifies CADDs predictive capabilities, yet ethical considerations and scalability challenges linger. Collaborative efforts and global initiatives, exemplified by platforms like Open-Source Malaria, underscore the democratization of drug discovery. The convergence of CADD with personalized medicine offers tailored therapeutic solutions, though ethical dilemmas and accessibility concerns must be navigated. Emerging technologies like quantum computing, immersive technologies, and green chemistry promise to redefine the future of CADD. The trajectory of CADD, marked by rapid advancements, anticipates challenges in ensuring accuracy, addressing biases in AI, and incorporating sustainability metrics. This paper concludes by highlighting the need for proactive measures in navigating the ethical, technological, and educational frontiers of CADD to shape a healthier, brighter future in drug discovery

Apresentação

Os artigos que compõem o presente Dossiê marcam um duplo propósito. Primeiro, objetivareunir a produção filosófica das Áreas de Filosofia da UESB nos três Campi, com contribuição deprofessores, pesquisadores, pós-graduandos, alunos de graduação e ex-alunos. Segundo, trata-se de umasingela homenagem ao Curso de Filosofia da UESB, Campus Vitória da Conquista

Sumário

Sumári

Permanent capping of temporary waste slopes: the challenge of declining waste streams

With diminishing waste streams many sites now face closure before filling to intended profiles. As a result, slopes which were intended as temporary waste slopes now require permanent capping solutions to be installed. These slopes are often steep and challenging to cap. Various stability and integrity issues arise with solutions including the use of reinforcement within the capping layers. However, on long slopes the total forces are often large and anchorage on benches can be problematic. Tapering the cover soils can achieve a stable solution; however, large soil volumes may be required to achieve a satisfactory resistance to failure. This paper considers a case study of a 72m high temporary waste slope requiring a permanent capping solution. Interface shear strength is critical on such steep slopes and sampling, testing and interpretation requires careful consideration. A number of shear strength tests were carried out as part of the project and this paper shall consider the designer's concerns around the interpretation of these tests for use in stability analysis. As part of construction of the regulating soil, variable material was delivered to site, some with moisture content higher than specified, thus potentially reducing the strength and introducing a weak layer. This paper considers the challenges in stability risk assessment, data interpretation and future instrumentation requirements at the site

Apresentação

No artigo Questões de sexo, de gênero e de sexualidade: para além da lógica clássica e da classificação binária, Elizabete Amorim de Almeida Melo, Adriana Lourenço, Walter Matias Lima, apresentam uma crítica ao dualismo do racionalismo cartesiano, à lógica clássica e seus princípios, demonstrando suas limitações no debate sobre a complexidade do real e das relações no que tange às questões de gênero, de sexo e sexualidade. &nbsp

Unlocking the Future of Drug Development:Generative AI, Digital Twins, and Beyond

This article delves into the intersection of generative AI and digital twins within drug discovery, exploring their synergistic potential to revolutionize pharmaceutical research and development. Through various instances and examples, we illuminate how generative AI algorithms, capable of simulating vast chemical spaces and predicting molecular properties, are increasingly integrated with digital twins of biological systems to expedite drug discovery. By harnessing the power of computational models and machine learning, researchers can design novel compounds tailored to specific targets, optimize drug candidates, and simulate their behavior within virtual biological environments. This paradigm shift offers unprecedented opportunities for accelerating drug development, reducing costs, and, ultimately, improving patient outcomes. As we navigate this rapidly evolving landscape, collaboration between interdisciplinary teams and continued innovation will be paramount in realizing the promise of generative AI and digital twins in advancing drug discovery

Innovative Therapeutic Strategies in Alzheimer’s Disease:A Synergistic Approach to Neurodegenerative Disorders

Alzheimer’s disease (AD) remains a significant challenge in the field of neurodegenerative disorders, even nearly a century after its discovery, due to the elusive nature of its causes. The development of drugs that target multiple aspects of the disease has emerged as a promising strategy to address the complexities of AD and related conditions. The immune system’s role, particularly in AD, has gained considerable interest, with nanobodies representing a new frontier in biomedical research. Advances in targeting antibodies against amyloid-β (Aβ) and using messenger RNA for genetic translation have revolutionized the production of antibodies and drug development, opening new possibilities for treatment. Despite these advancements, conventional therapies for AD, such as Cognex, Exelon, Razadyne, and Aricept, often have limited long-term effectiveness, underscoring the need for innovative solutions. This necessity has led to the incorporation advanced technologies like artificial intelligence and machine learning into the drug discovery process for neurodegenerative diseases. These technologies help identify therapeutic targets and optimize lead compounds, offering a more effective approach to addressing the challenges of AD and similar conditions

Desejo e autoridade em Deleuze e Guattari

O presente artigo tem como objetivo apresentar a relação entre desejo e autoridade em Deleuze e Guattari. Trata-se, em primeiro lugar, de elucidar a concepção do desejo como construção de agenciamentos, que, situada na perspectiva do capitalismo, constitui o regime de produção e efetuações de uma máquina desejante. Num segundo momento, procuramos analisar o tema da autoridade à luz da reflexão sobre a instituição e a lei, e seus desdobramentos para o campo de efetuação do desejo