Current Advances for Development of Functional Foods Modulating Inflammation and Oxidative Stress presents the nutritional and technological aspects related to the development of functional foods with anti-inflammatory and antioxidant effects. Specifically, analytical approaches for the characterization of anti-inflammatory and antioxidant properties of healthy foods and functional constituents, as well as technological strategies for the extraction of compounds and fractions from raw materials to produce anti-inflammatory and antioxidant ingredients are addressed. In addition, the molecular mechanisms by which foods and their components can modulate inflammation and their oxidative stress effects on disease prevention are explored. Finally, clinical research addressing nutritional needs in pathological subjects with inflammatory diseases are considered.

This book discusses the question of how a regional economy can develop under the influence of an ageing and declining population, and how regional development policies can help make labor markets more resilient and more inclusive. As the greatest impacts of demographic change and policy and fiscal challenges can be observed at the local level, examples from European, North American and Asian regions are combined to present a comprehensive, global range of strategic solutions from different policy contexts. The book shows how institutions, organizations and communities can enhance their pathways for sustainable development through the intelligent management of their demographic transition, and offers a synthesis of valuable lessons and strategies.

Protein Digestion-Derived Peptides: Chemistry, Bioactivity, and Health Effects presents the latest international advances in fundamental and applied research on the impact of gastrointestinal digestion on the release of bioactive peptides from food sources. This book covers the fundamentals and applications of gastrointestinal digestion and absorption models as well as the impact of food matrices, their components and protein characteristics, and peptide bioaccessibility and bioavailability released during digestion. Developed for nutrition researchers, food scientists, and pharmaceutical scientists, this book is sure to be a welcomed for those who wish to understand the impact of peptides on chronic disease.

Fermented Foods in Health and Disease Prevention is the first scientific reference that addresses the properties of fermented foods in nutrition by examining their underlying microbiology, the specific characteristics of a wide variety of fermented foods, and their effects in health and disease. The current awareness of the link between diet and health drives growth in the industry, opening new commercial opportunities. Coverage in the book includes the role of microorganisms that are involved in the fermentation of bioactive and potentially toxic compounds, their contribution to health-promoting properties, and the safety of traditional fermented foods. Authored by worldwide scientists and researchers, this book provides the food industry with new insights on the development of value-added fermented foods products, while also presenting nutritionists and dieticians with a useful resource to help them develop strategies to assist in the prevention of disease or to slow its onset and severity.

The shrinking city phenomenon is a multidimensional process that affects cities, parts of cities or metropolitan areas around the world that have experienced dramatic decline in their economic and social bases. Shrinkage is not a new phenomenon in the study of cities. However, shrinking cities lack the precision of systemic analysis where other factors now at work are analyzed: the new economy, globalization, aging population (a new population transition) and other factors related to the search for quality of life or a safer environment. This volume places shrinking cities in a global perspective, setting the context for in-depth case studies of cities within Mexico, Brazil, Indonesia, Germany, France, Great Britain, South Korea, Australia, and the USA, which consider specific economic, social, environmental, cultural and land-use issues.

The shrinking city phenomenon is a multidimensional process that affects cities, parts of cities or metropolitan areas around the world that have experienced dramatic decline in their economic and social bases. Shrinkage is not a new phenomenon in the study of cities. However, shrinking cities lack the precision of systemic analysis where other factors now at work are analysed: the new economy, globalisation, aging population (a new population transition) and other factors related to the search for quality of life or a safer environment. This volume places shrinking cities in a global perspective, setting the context for in-depth case studies of cities within Mexico, Brazil, Indonesia, Germany, France, Great Britain, South Korea, Australia, and the USA, which consider specific economic, social, environmental, cultural and land-use issues.

In this work, the interaction between the Higgs boson and the top quark is studied with the proton-proton collisions at 13 TeV provided by the LHC at the CMS detector at CERN (Geneva). At the LHC, these particles are produced simultaneously via the associate production of the Higgs boson with one top quark (tH process) or two top quarks (ttH process). Compared to many other possible outcomes of the proton-proton interactions, these processes are very rare, as the top quark and the Higgs boson are the heaviest elementary particles known. Hence, identifying them constitutes a significant experimental challenge. A high particle selection efficiency in the CMS detector is therefore crucial. At the core of this selection stands the Level-1 (L1) trigger system, a system that filters collision events to retain only those with potential interest for physics analysis. The selection of hadronically decaying leptons, expected from the Higgs boson decays, is especially demanding due to the large background arising from the QCD interactions. The first part of this thesis presents the optimization of the L1 algorithm in Run 2 (2016-2018) and Run 3 (2022-2024) of the LHC. It includes the development of a novel trigger concept for the High-Luminosity LHC, foreseen to start in 2027 and to deliver 5 times the current instantaneous luminosity. To this end, sophisticated algorithms based on machine learning approaches are used, facilitated by the increasingly modern technology and powerful computation of the trigger system. The second part of the work presents the search of the tH and ttH processes with the subsequent decays of the Higgs boson to pairs of lepton, W bosons or Z bosons, making use of the data recorded during Run 2. The presence of multiple particles in the final state, along with the low cross section of the processes, makes the search an ideal use case for multivariant discriminants that enhance the selectivity of the signals and reject the overwhelming background contributions. The discriminants presented are built using state-of-the-art machine learning techniques, able to capture the correlations amongst the processes involved, as well as the so-called Matrix Element Method (MEM), which combines the theoretical description of the processes with the detector resolution effects. The level of sophistication of the methods used, along with the unprecedented amount of collision data analyzed, result in the most stringent measurements of the tH and ttH cross sections up to date.

This book discusses the question of how a regional economy can develop under the influence of an ageing and declining population, and how regional development policies can help make labor markets more resilient and more inclusive. As the greatest impacts of demographic change and policy and fiscal challenges can be observed at the local level, examples from European, North American and Asian regions are combined to present a comprehensive, global range of strategic solutions from different policy contexts. The book shows how institutions, organizations and communities can enhance their pathways for sustainable development through the intelligent management of their demographic transition, and offers a synthesis of valuable lessons and strategies.

There has been a great deal of discussion on the knowledge economy, but much of this has been more a matter of rhetoric than serious analysis. This book is a pioneering effort to address this gap, using a range of methods and investigating knowledge-intensive service activities (KISA) in many different sectors. The expert contributors highlight the changes that are occurring in the labor force and the organization of work, as well as in the competences and combinations of knowledge demanded in contemporary occupations. They provide corporate managers and policymakers with much needed data and analysis regarding the implications of knowledge-intensive service systems and the skills required for innovation within these sectors. By exploring these systems in both traditional and services industries, the editors point to important areas of action for improving business practices and human capital development that are key for business and employment development. This unique book deploys rich empirical material that will help put KISA onto the map for researchers, policy makers, policy analysts and practitioners across many disciplines and professions including human resources, training and skills development, and procurement. Providing in-depth and theoretically informed studies, whilst drawing on cases from many sectors and countries, this compendium will prove essential for students of business management and human resource management. Contributors: J. Albors-Garrigos, M. Broch, J.L. Hervas-Oliver, P. Marquez Rodriguez, C. Martinez-Fernandez, L.E. Martinez-Solano, I. Miles, T. Potts, S. Sharpe, T. Weyman, H. Wiig Aslesen

In this work, the interaction between the Higgs boson and the top quark is studied with the proton-proton collisions at 13 TeV provided by the LHC at the CMS detector at CERN (Geneva). At the LHC, these particles are produced simultaneously via the associate production of the Higgs boson with one top quark (tH process) or two top quarks (ttH process). Compared to many other possible outcomes of the proton-proton interactions, these processes are very rare, as the top quark and the Higgs boson are the heaviest elementary particles known. Hence, identifying them constitutes a significant experimental challenge. A high particle selection efficiency in the CMS detector is therefore crucial. At the core of this selection stands the Level-1 (L1) trigger system, a system that filters collision events to retain only those with potential interest for physics analysis. The selection of hadronically decaying τ leptons, expected from the Higgs boson decays, is especially demanding due to the large background arising from the QCD interactions. The first part of this thesis presents the optimization of the L1 τ algorithm in Run 2 (2016-2018) and Run 3 (2022-2024) of the LHC. It includes the development of a novel trigger concept for the High-Luminosity LHC, foreseen to start in 2027 and to deliver 5 times the current instantaneous luminosity. To this end, sophisticated algorithms based on machine learning approaches are used, facilitated by the increasingly modern technology and powerful computation of the trigger system. The second part of the work presents the search of the tH and ttH processes with the subsequent decays of the Higgs boson to pairs of τ lepton, W bosons or Z bosons, making use of the data recorded during Run 2. The presence of multiple particles in the final state, along with the low cross section of the processes, makes the search an ideal use case for multivariant discriminants that enhance the selectivity of the signals and reject the overwhelming background contributions. The discriminants presented are built using state-of-the-art machine learning techniques, able to capture the correlations amongst the processes involved, as well as the so-called Matrix Element Method (MEM), which combines the theoretical description of the processes with the detector resolution effects. The level of sophistication of the methods used, along with the unprecedented amount of collision data analyzed, result in the most stringent measurements of the tH and ttH cross sections up to date.

This simple book is full of starter doodles and lots of space, to help children feel calmer and leave their worries on the page. It includes mindfulness tips and reassurance.

The Automat is a story of a mild-mannered introvert named Horace Gray, who slowly descends into madness after he becomes obsessively enamored with a woman who stares at him from behind an automat wall. The Automat is a fictional story exploring the dark side of human nature and the innate desire of being loved. It is a story of unexpected change in the routine of one's simple life, of obsession, guilt, and the consequences of betrayal. The Automat will appeal to readers of literary fiction with dark undertones.

While witnessing the game of chance called Juvenile Probation in Dysfunctional Poker, readers meet Cristina Martinez, a probation officer whose dedication and devotion to her charges has earned her the moniker Mamasita, or little mother. She introduces us to double-trouble sisters Reyna and MiLinda Rangel, who continually fight over comments, real or imagined, and Denny, whose fat ass father and good-for-one-thing mother get her residentially placed. And we come across the unlikely friends Bert, the athlete, and Rogelio, the car thief, who take different roads to the same university, along with kids like Wilo, Pulga, and K.O who hold a place in Mamasita's heart. Unpopular with her coworkers, it's Cristina's unconventional methods that endear her to the kids, and as she shares a series of memories, we learn that "another girl' she can't forget helps guide her actions. In one particular flashback, "I've been in pain for so long, I feel nothing, like I'm dead inside," says that girl. "When I cut, it doesn't hurt unless it's really deep, and then it doesn't hurt that much, just enough to let me know I can still feel something. I see the blood and know I'm still alive. It's like putting the pain that's on the inside, on the outside. Then as it heals over time, it heals me on the outside and then inside. Does that make sense?" Dysfunctional Poker is not only the story of the kids in Mamasita's life; it also serves to educate anyone who interacts with teens as to how they think, how they interpret our actions toward them, and most importantly, how they need to be treated differently to adult offenders, or their non-delinquent counterparts. While enlightening as to the inner workings of the juvenile justice system, this inspiring, emotional, and highly original work of fiction is sure to elicit episodes of humor, frustration, sadness, anger, and hope

Soniq non e mai stata ben considerata all'interno del suo gruppo: e piccola, magra, meno abile dei suoi compagni human-cyborg. Per di piu, e amica di Kryhijam, un fenji. Eppure, il divino Shade ha scelto proprio loro due. E Soniq non esitera a lottare per cio in cui crede, per far capire all'Isola che tra razze diverse ci puo essere amicizia, per dimostrare a tutti che poi, nella vita, non vince il piu forte, ma chi non si arrende mai.