775 research outputs found

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

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    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Design of new algorithms for gene network reconstruction applied to in silico modeling of biomedical data

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    Programa de Doctorado en Biotecnología, Ingeniería y Tecnología QuímicaLínea de Investigación: Ingeniería, Ciencia de Datos y BioinformáticaClave Programa: DBICódigo Línea: 111The root causes of disease are still poorly understood. The success of current therapies is limited because persistent diseases are frequently treated based on their symptoms rather than the underlying cause of the disease. Therefore, biomedical research is experiencing a technology-driven shift to data-driven holistic approaches to better characterize the molecular mechanisms causing disease. Using omics data as an input, emerging disciplines like network biology attempt to model the relationships between biomolecules. To this effect, gene co- expression networks arise as a promising tool for deciphering the relationships between genes in large transcriptomic datasets. However, because of their low specificity and high false positive rate, they demonstrate a limited capacity to retrieve the disrupted mechanisms that lead to disease onset, progression, and maintenance. Within the context of statistical modeling, we dove deeper into the reconstruction of gene co-expression networks with the specific goal of discovering disease-specific features directly from expression data. Using ensemble techniques, which combine the results of various metrics, we were able to more precisely capture biologically significant relationships between genes. We were able to find de novo potential disease-specific features with the help of prior biological knowledge and the development of new network inference techniques. Through our different approaches, we analyzed large gene sets across multiple samples and used gene expression as a surrogate marker for the inherent biological processes, reconstructing robust gene co-expression networks that are simple to explore. By mining disease-specific gene co-expression networks we come up with a useful framework for identifying new omics-phenotype associations from conditional expression datasets.In this sense, understanding diseases from the perspective of biological network perturbations will improve personalized medicine, impacting rational biomarker discovery, patient stratification and drug design, and ultimately leading to more targeted therapies.Universidad Pablo de Olavide de Sevilla. Departamento de Deporte e Informátic

    Indigenous Territorial Autonomy and Self-Government in the Diverse Americas

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    Across the Americas, Indigenous and Afro-descendent peoples have demanded autonomy, self-determination, and self-governance. By exerting their collective rights, they have engaged with domestic and international standards on the rights of Indigenous Peoples, implemented full-fledged mechanisms for autonomous governance, and promoted political and constitutional reform aimed at expanding understandings of multicultural citizenship and the plurinational state. Yet these achievements come in conflict with national governments’ adoption of neoliberal economic and neo-extractive policies which advance their interests over those of Indigenous communities. Available for the first time in English, Indigenous Territorial Autonomy and Self-Government in the Diverse Americas explores current and historical struggles for autonomy within ancestral territories, experiences of self-governance in operation, and presents an overview of achievements, challenges, and threats across three decades. Case studies across Bolivia, Chile, Nicaragua, Peru, Colombia, Mexico, Panama, Ecuador, and Canada provide a detailed discussion of autonomy and self-governance in development and in practice. Paying special attention to the role of Indigenous peoples’ organizations and activism in pursuing sociopolitical transformation, securing rights, and confronting multiple dynamics of dispossession, this book engages with current debates on Indigenous politics, relationships with national governments and economies, and the multicultural and plurinational state. This book will spark critical reflection on political experience and further exploration of the possibilities of the self-determination of peoples through territorial autonomies

    Security and Privacy for Modern Wireless Communication Systems

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    The aim of this reprint focuses on the latest protocol research, software/hardware development and implementation, and system architecture design in addressing emerging security and privacy issues for modern wireless communication networks. Relevant topics include, but are not limited to, the following: deep-learning-based security and privacy design; covert communications; information-theoretical foundations for advanced security and privacy techniques; lightweight cryptography for power constrained networks; physical layer key generation; prototypes and testbeds for security and privacy solutions; encryption and decryption algorithm for low-latency constrained networks; security protocols for modern wireless communication networks; network intrusion detection; physical layer design with security consideration; anonymity in data transmission; vulnerabilities in security and privacy in modern wireless communication networks; challenges of security and privacy in node–edge–cloud computation; security and privacy design for low-power wide-area IoT networks; security and privacy design for vehicle networks; security and privacy design for underwater communications networks

    A strategic turnaround model for distressed properties

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    The importance of commercial real estate is clearly shown by the role it plays, worldwide, in the sustainability of economic activities, with a substantial global impact when measured in monetary terms. This study responds to an important gap in the built environment and turnaround literature relating to the likelihood of a successful distressed commercial property financial recovery. The present research effort addressed the absence of empirical evidence by identifying a number of important factors that influence the likelihood of a successful distressed, commercial property financial recovery. Once the important factors that increase the likelihood of recovery have been determined, the results can be used as a basis for turnaround strategies concerning property investors who invest in distressed opportunities. A theoretical turnaround model concerning properties in distress, would be of interest to ‘opportunistic investing’ yield-hungry investors targeting real estate transactions involving ‘turnaround’ potential. Against this background, the main research problem investigated in the present research effort was as follows: Determine the important factors that would increase the likelihood of a successful distressed commercial property financial recovery. A proposed theoretical model was constructed and empirically tested through a questionnaire distributed physically and electronically to a sample of real estate practitioners from across the globe, and who had all been involved, directly or indirectly, with reviving distressed properties. An explanation was provided to respondents of how the questionnaire was developed and how it would be administered. The demographic information pertaining to the 391 respondents was analysed and summarised. The statistical analysis performed to ensure the validity and reliability of the results, was explained to respondents, together with a detailed description of the covariance structural equation modelling method used to verify the proposed theoretical conceptual model. vi The independent variables of the present research effort comprised; Obsolescence Identification, Capital Improvements Feasibility, Tenant Mix, Triple Net Leases, Concessions, Property Management, Contracts, Business Analysis, Debt Renegotiation, Cost-Cutting, Market Analysis, Strategic Planning and Demography, while the dependent variable was The Perceived Likelihood of a Distressed Commercial Property Financial Recovery. After analysis of the findings, a revised model was then proposed and assessed. Both validity and reliability were assessed and resulted in the following factors that potentially influence the dependent variables; Strategy, Concessions, Tenant Mix, Debt Restructuring, Demography, Analyse Alternatives, Capital Improvements Feasibility, Property Management and Net Leases while, after analysis, the dependent variable was replaced by two dependent variables; The Likelihood of a Distressed Property Turnaround and The Likelihood of a Distressed Property Financial Recovery. The results showed that Strategy (comprising of items from Strategic Planning, Business Analysis, Obsolescence Identification and Property Management) and Concessions (comprising of items from Concessions and Triple Net Leases) had a positive influence on both the dependent variables. Property Management (comprising of items from Business Analysis, Property Management, Capital Improvements Feasibility and Tenant Mix) had a positive influence on Financial Turnaround variable while Capital Improvements Feasibility (comprising of items from Capital Improvements Feasibility, Obsolescence Identification and Property Management) had a negative influence on both. Demography (comprising of items only from Demography) had a negative influence on the Financial Recovery variable. The balance of the relationships were depicted as non-significant. The present research effort presents important actions that can be used to influence the turnaround and recovery of distressed real estate. The literature had indicated reasons to recover distressed properties as having wide-ranging economic consequences for the broader communities and the countries in which they reside. The turnaround of distressed properties will not only present financial rewards for opportunistic investors but will have positive effects on the greater community and economy and, thus, social and economic stability. Vii With the emergence of the COVID-19 pandemic crisis, issues with climate change and sustainability, global demographic shifts, changing user requirements, shifts in technology, the threat of obsolescence, urbanisation, globalisation, geo-political tensions, shifting global order, new trends and different generational expectations, it is becoming more apparent that the threat of distressed, abandoned and derelict properties is here to stay, and which will present future opportunities for turnaround, distressed property owners, as well as future worries for urban authorities and municipalities dealing with urban decay. The study concluded with an examination of the perceived limitations of the study as well as presenting a comprehensive range of suggestions for further research.Thesis (PhD) -- Faculty of Engineering, Built Environment and Information Technology, School of the built Environment, 202

    The European Union, Eurasian Economic Union and the Belt and Road: Perceptions, practices and risks in Eurasia

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    Contents: Ahmad Anwar: The Limits of Economic Hedging in the Shadow of Security Challenges: CEE-China relations amidst Russia-Ukraine conflict? --- Heinz Gärtner: Geopolitical Consequences of the Russian War in Ukraine, the US, China and Russia --- Marcela Ganea: Perceptions of China Seen as a Threat in the Romanian Political Discourse in 2021-2022 Albert Hayrapetyan - Susanna Aghajanyan - Diana Matevosyan: The Assessment of the Impact of the Membership to the Eurasian Economic Union on the Trade Flows of Armenia --- Anna Lazareva: Shifting Dynamics: From Cooperation and Competition to Conflict - Exploring EU-Russia Relations in the Post-Soviet Era --- Radu Sava: Global Gateway and the Belt and Road Initiative: Conceptual Approaches and Comparisons in Eurasi

    Essays in empirical economics

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    While poverty rates have declined in recent decades, many people are still trapped in poverty with limited opportunities for better living conditions. Moreover, inequality remains high around the globe. Understanding and addressing poverty and inequality is a complex task because it is multidimensional and involves multiple actors. My dissertation contributes to the literature on poverty reduction and inequality by taking an in-depth look at the three channels of Attanasio and Székely's (1999) asset-based framework and relating them to the three actors identified by McKague, Wheeler, and Karnani (2015). It is my hope that my work will shed light on how to address some of the multidimensional aspects of inequality. In Chapter 1, I explore the human capital dimension of poverty and inequality and the potential role governments can play in addressing inequality. Next, in Chapter 2, my thesis ties into the social capital channel of the asset-based framework and analyzes the influence of civil societies. Finally, Chapter 3 speaks to the physical capital channel of the asset-based model and to the potential responsibility of the private sector in addressing poverty and inequality

    LIPIcs, Volume 261, ICALP 2023, Complete Volume

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    LIPIcs, Volume 261, ICALP 2023, Complete Volum

    Novel Analytical Methods in Food Analysis

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    This reprint provides information on the novel analytical methods used to address challenges occurring at academic, regulatory, and commercial level. All topics covered include information on the basic principles, procedures, advantages, limitations, and applications. Integration of biological reagents, (nano)materials, technologies, and physical principles (spectroscopy and spectrometry) are discussed. This reprint is ideal for professionals of the food industry, regulatory bodies, as well as researchers
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