Cellular Worlds: A Framework for Modeling Micro—Macro Dynamics

1985 ◽  
Vol 17 (5) ◽  
pp. 585-596 ◽  
Author(s):  
H Couclelis
Keyword(s):  
Computer Science ◽  
Model Theory ◽  
Discrete Model ◽  
Bifurcation Theory ◽  
Large Scale ◽  
Complex Problem ◽  
Standard Cell ◽  
Individual Decision ◽  
And Behavior ◽  
Spatial Interpretation

Cellular spaces have recently received a lot of attention in computer science and elsewhere as models capable of bridging the gap between disaggregate and aggregate description. Despite their obvious spatial interpretation, standard cell-space models are too constrained by their background conventions to be useful in realistic geographic applications. In this paper, a generalization of the cell-space principle is presented, based on discrete model theory, and then applied to a hypothetical but fairly complex problem of individual decision and large-scale urban change. The paper ends with a discussion of the wider import of this methodology, which has close links with, among other things, bifurcation theory, cognitive science modeling of individual decision and behavior, and other issues of actual or potential interest to geographers.

Dehydroepiandrosterone (DHEA) and its Sulphate (DHEAS) in Alzheimer’s Disease

2020 ◽  
Vol 17 (2) ◽  
pp. 141-157 ◽  
Author(s):  
Dubravka S. Strac ◽  
Marcela Konjevod ◽  
Matea N. Perkovic ◽  
Lucija Tudor ◽  
Gordana N. Erjavec ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Large Scale ◽  
Therapeutic Potential ◽  
Relevant Literature ◽  
Comprehensive Overview ◽  
Brain Functions ◽  
Specific Effects ◽  
And Behavior

Background: Neurosteroids Dehydroepiandrosterone (DHEA) and Dehydroepiandrosterone Sulphate (DHEAS) are involved in many important brain functions, including neuronal plasticity and survival, cognition and behavior, demonstrating preventive and therapeutic potential in different neuropsychiatric and neurodegenerative disorders, including Alzheimer’s disease. Objective: The aim of the article was to provide a comprehensive overview of the literature on the involvement of DHEA and DHEAS in Alzheimer’s disease. Method: PubMed and MEDLINE databases were searched for relevant literature. The articles were selected considering their titles and abstracts. In the selected full texts, lists of references were searched manually for additional articles. Results: We performed a systematic review of the studies investigating the role of DHEA and DHEAS in various in vitro and animal models, as well as in patients with Alzheimer’s disease, and provided a comprehensive discussion on their potential preventive and therapeutic applications. Conclusion: Despite mixed results, the findings of various preclinical studies are generally supportive of the involvement of DHEA and DHEAS in the pathophysiology of Alzheimer’s disease, showing some promise for potential benefits of these neurosteroids in the prevention and treatment. However, so far small clinical trials brought little evidence to support their therapy in AD. Therefore, large-scale human studies are needed to elucidate the specific effects of DHEA and DHEAS and their mechanisms of action, prior to their applications in clinical practice.

scholarly journals Pilot Clinical Trial of Time-Restricted Eating in Patients with Metabolic Syndrome

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 346
Author(s):  
Iwona Świątkiewicz ◽  
Celestyna Mila-Kierzenkowska ◽  
Alina Woźniak ◽  
Karolina Szewczyk-Golec ◽  
Jarosław Nuszkiewicz ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Metabolic Syndrome ◽  
Clinical Trial ◽  
Dietary Intake ◽  
Large Scale ◽  
Controlled Trial ◽  
European Population ◽  
Cardiac Biomarkers ◽  
Cardiometabolic Health ◽  
And Behavior

Metabolic syndrome (MetS) and erratic eating patterns are associated with circadian rhythm disruption which contributes to an increased cardiometabolic risks. Restricting eating period (time-restricted eating, TRE) can restore robust circadian rhythms and improve cardiometabolic health. We describe a protocol of the Time-Restricted Eating on Metabolic and Neuroendocrine homeostasis, Inflammation, and Oxidative Stress (TREMNIOS) pilot clinical trial in Polish adult patients with MetS and eating period of ≥14 h/day. The study aims to test the feasibility of TRE intervention and methodology for evaluating its efficacy for improving metabolic, neuroendocrine, inflammatory, oxidative stress and cardiac biomarkers, and daily rhythms of behavior for such population. Participants will apply 10-h TRE over a 12-week monitored intervention followed by a 12-week self-directed intervention. Changes in eating window, body weight and composition, biomarkers, and rhythms of behavior will be evaluated. Dietary intake, sleep, activity and wellbeing will be monitored with the myCircadianClock application and questionnaires. Adherence to TRE defined as the proportion of days recorded with app during the monitored intervention in which participants satisfied 10-h TRE is the primary outcome. TREMNIOS will also provide an exploratory framework to depict post-TRE changes in cardiometabolic outcomes and behavior rhythms. This protocol extends previous TRE-related protocols by targeting European population with diagnosed MetS and including long-term intervention, validated tools for monitoring dietary intake and adherence, and comprehensive range of biomarkers. TREMNIOS trial will lay the groundwork for a large-scale randomized controlled trial to determine TRE efficacy for improving cardiometabolic health in MetS population.

THE CONNECTION MACHINE IN A UNIVERSITY ENVIRONMENT: GESAMTHOCHSCHULE WUPPERTAL

1993 ◽  
Vol 04 (01) ◽  
pp. 137-141
Author(s):  
KLAUS SCHILLING
Keyword(s):  
Parallel Computing ◽  
Computer Science ◽  
Large Scale ◽  
Early History ◽  
Short Account ◽  
University Environment ◽  
Connection Machine ◽  
The University

A short account is presented on the early history, the intentions and the development of large scale parallel computing at the University of Wuppertal. It might serve as an illustration how common activities between computational and computer science can be stimulated, in the university environment.

An efficient partitioning method for very large-scale standard cell placement with pre-designed macros

2003 ◽  
Author(s):  
Yongqiang Lu ◽  
Xianlong Hong ◽  
Changqi Yang ◽  
Wenting Hou ◽  
Yuchun Ma
Keyword(s):  
Large Scale ◽  
Standard Cell ◽  
Cell Placement

Gang Research in the Twenty-First Century

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Caylin Louis Moore ◽  
Forrest Stuart
Keyword(s):  
Large Scale ◽  
Criminological Theory ◽  
First Century ◽  
Annual Review ◽  
Publication Date ◽  
Theoretical Frameworks ◽  
Twenty First Century ◽  
State Interventions ◽  
And Behavior ◽  
Analytical Approaches

For nearly a century, gang scholarship has remained foundational to criminological theory and method. Twenty-first-century scholarship continues to refine and, in some cases, supplant long-held axioms about gang formation, organization, and behavior. Recent advances can be traced to shifts in the empirical social reality and conditions within which gangs exist and act. We draw out this relationship—between the ontological and epistemological—by identifying key macrostructural shifts that have transformed gang composition and behavior and, in turn, forced scholars to revise dominant theoretical frameworks and analytical approaches. These shifts include large-scale economic transformations, the expansion of punitive state interventions, the proliferation of the Internet and social media, intensified globalization, and the increasing presence of women and LGBTQ individuals in gangs and gang research. By introducing historically unprecedented conditions and actors, these developments provide novel opportunities to reconsider previous analyses of gang structure, violence, and other related objects of inquiry. Expected final online publication date for the Annual Review of Criminology, Volume 5 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Water Conflicts: The Case of the Nile River and the Grand Ethiopian Renaissance Dam

2020 ◽  
Vol 65 (2) ◽  
pp. 179-193
Author(s):  
Cătălin Badea
Keyword(s):  
Water Resources ◽  
Large Scale ◽  
Life Form ◽  
Complex Problem ◽  
Modern Technology ◽  
Nile River ◽  
Water Conflict ◽  
Water Conflicts ◽  
Potential Conflict ◽  
State Of Water

"The most crucial element of every life form on our planet, water has always been a source of potential animosity between clans, tribes and even states. With the advent of modern technology we have devoted less and less of our attention to this all-needed resource, but pollution, large-scale industrialization and agriculture, the population boom of the last centuries and crucially the climate calamity that it threatens to unleash, forces us to reconsider the key role played by water in the delicate and fragile ecosystem of our planet. This article takes a look at how water is, and will increasingly be, a source of contention and even conflicts between states, as climate changes and increasingly larger populations will be forced to fight over more and more depleted resources. With a focus on the case of the Nile river and the potential conflict over its water resources between Egypt and Ethiopia, this article examines how the mainstream state of water conflict thinking fails to explain the case of the Nile River Basis and the newly built Grand Ethiopian Renaissance Dam (GERD) and why the alternative ideas that are based on the notions of cooperation and justice might ultimately provide a better way of understanding the complex problem of the delicate management and use of water resources. Keywords: Water conflicts, Egypt, Ethiopia, GERD, The Nile"

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

US Decision Makers’ Perceptions of Soviet Intentions

2014 ◽  
Author(s):  
Keren Yarhi-Milo
Keyword(s):  
Foreign Policy ◽  
Soviet Union ◽  
Selective Attention ◽  
National Security ◽  
Decision Makers ◽  
Jimmy Carter ◽  
Individual Decision ◽  
The Soviet Union ◽  
And Behavior ◽  
The U.S

This chapter examines the indicators used by U.S. President Jimmy Carter and two key decision makers in his administration, National Security Advisor Zbigniew Brzezinski and Secretary of State Cyrus Vance, to assess the intentions of the Soviet Union during the period 1977–1980. Using evidence from U.S. archives and interviews with former U.S. decision makers, it compares the predictions of the selective attention thesis, capabilities thesis, strategic military doctrine thesis, and behavior thesis. After discussing the U.S. decision makers’ stated beliefs about Soviet intentions, the chapter considers the reasoning they employed to justify their intentions assessments. It then describes the policies that individual decision makers advocated and those that the administration collectively adopted. It also explores whether decision makers advocated policies that were congruent with their stated beliefs about intentions and evaluate sthe impact of beliefs about intentions on U.S. foreign policy at the time.

Neural Network for Big Data Sets

2022 ◽  
pp. 41-67
Author(s):  
Vo Ngoc Phu ◽  
Vo Thi Ngoc Tran
Keyword(s):  
Neural Network ◽  
Big Data ◽  
Computer Science ◽  
Large Scale ◽  
Massive Data ◽  
Data Sets ◽  
Massive Data Sets ◽  
Large Scale Data ◽  
Commercial Applications ◽  
Novel Model

Machine learning (ML), neural network (NN), evolutionary algorithm (EA), fuzzy systems (FSs), as well as computer science have been very famous and very significant for many years. They have been applied to many different areas. They have contributed much to developments of many large-scale corporations, massive organizations, etc. Lots of information and massive data sets (MDSs) have been generated from these big corporations, organizations, etc. These big data sets (BDSs) have been the challenges of many commercial applications, researches, etc. Therefore, there have been many algorithms of the ML, the NN, the EA, the FSs, as well as computer science which have been developed to handle these massive data sets successfully. To support for this process, the authors have displayed all the possible algorithms of the NN for the large-scale data sets (LSDSs) successfully in this chapter. Finally, they have presented a novel model of the NN for the BDS in a sequential environment (SE) and a distributed network environment (DNE).

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