Explore Michael T. Taussig's influential book, 'The Devil and Commodity Fetishism in South America,' in its 30th Anniversary Edition. This academic work examines economic development, social aspects, and cultural beliefs in South America, focusing on commodity fetishism, plantations in Colombia, and tin mines in Bolivia.
Proceedings of the international scientific conference 'Trade Perspectives 2021' held at the University of Zagreb, Croatia. This volume explores the impact of the COVID-19 pandemic on international trade, economic activity, and business strategies, featuring research from leading academics and institutions.
A supplement table detailing reported cases of cardiac cephalalgia, including patient demographics, symptoms, ECG findings, and treatment outcomes from various studies.
This research paper explores the application of epidemiological modeling, specifically the SEIR compartment model, combined with Physics-Informed Neural Networks (PINNs), to understand and manage systemic risks associated with adversarial behavior propagation in large-scale AI agent deployments. It analyzes vulnerabilities, estimates parameters from real-world data, and simulates attack scenarios across various sectors, providing a framework for proactive AI safety.
A doctoral thesis by Costanza Baldrighi from the University of Pavia & University of Bergamo, exploring Transformative Innovation (TI). It proposes a unifying framework for integrating digital, sustainable, and business transformations to help organizations navigate complex changes and achieve societal and economic goals.
A comprehensive directory of licensed application service providers operating in Tanzania, including contact details, addresses, and market segments.
This research paper explores the application of Convolutional Neural Networks (CNNs) to enhance Automatic Speech Recognition (ASR) systems, detailing their architecture, a novel limited weight sharing scheme, and experimental results showing improved performance over DNNs and GMM-HMMs.
This thesis proposal by Fangzheng (Frank) Xu investigates the integration of external knowledge into language models for enhanced code generation and the development of AI agents. It covers pre-training, human studies, retrieval augmentation, and LLM agent applications, aiming to improve natural language interaction with computers.