Quantitative relational framework methodology to global protocols

Quantitative relational framework methodology relating several knowledge fields, creating global and decentralized technologies protocols to confront futures health emergencies

1-Team Leader and Primary Investigator: Carlos Eduardo Rosa, MD; Ph.D.

2-Substitute Primary Investigator: Hugo Sanchez de Araujo, Experimental and Theoretical Physicist, MSc.

Multidisciplinary Independent School Researchers

The unprecedented humanitarian, health, economic, social COVID-19 crises that raised exponentially have challenged the existing research methods, drug engineering process, medical sciences, economy, resource management, and governance(1-15). Potential epidemic diseases such as Flu-variations, HIV, SARS, MERS, Ebola, and SARS-CoV-2 become risk, spread out quickly. Identify timing has significant relevance in this scenario. Despite several efforts in dataset elaboration, biotechnology-bioengineering, computation, strategic management, no resolutive solutions, neither protocols regarding confronting future health emergencies exist(16-19). The problem consists of developing an innovative and quantitative relational framework methodology, which allows accelerating the identification of different processes and consolidates global health emergencies and decentralized technologies protocols to avoid devastating impacts appointed to references.

This methodology relates several methods biotechnology-bioengineer, medical sciences, artificial intelligence, data science, information theory, resource management, to elaborate protocols: a)interconnect datasets; b)rapid development of drugs, vaccines, and clinical research; c)active-passive monitoring and early confirmation of potential crises; d)apply these advances in other related developing fields; e)self-improved methods to confront new challenges and to solve new paradigms. These protocols must be aligned with Trinity Challenge, creating intellective humanitarian heritage.

1-https://coronavirus.jhu.edu/map.html

2-https://www.worldometers.info/coronavirus/

3-https://fas.org/sgp/crs/row/R4...

4-https://doi-org.ezproxyberklee.flo.org/10.1080/222217...

5-https://doi-org.ezproxyberklee.flo.org/10.1002/pds.5240

6-https://www.sopact.com/social-...

7-https://doi-org.ezproxyberklee.flo.org/10.1126/scienc...

8-http://www.healthdata.org/covi...

9-https://data.worldbank.org/

10-https://www.covidsocialstudy.o...

11-https://projekte.uni-erfurt.de...

12-https://gisumd.github.io/COVID...

13-https://projekte.uni-erfurt.de...

14-https://github.com/ieee8023/co...

15-https://dataforgood.facebook.c...

16-https://doi-org.ezproxyberklee.flo.org/10.1056/NEJMp1...

17-https://doi-org.ezproxyberklee.flo.org/10.1056/NEJMp1...

18-https://doi-org.ezproxyberklee.flo.org/10.1056/NEJMp2003762

19-https://www.consilium.europa.e...

Our solution is addressed to the whole global community, including governments, profit, and non-profit organizations, communities, and individuals. The Innovative and quantitative relational framework methodology provides rapid technological and scientific advances in diverse fields. Also, it has a peculiarity of self-improvement, permitting to confront future global or local health emergencies, particularly these raised exponentially. Also, new complex problems, that may demand outbreaks and news paradigms, guaranteeing human survival.

Every scientific and technological development has the economy, policy, culture, laws, and social implications, needing several outstanding experts in many fields of different cultures for multidisciplinary, transcultural, and multilateral approaches. These approaches permit to supplant technical, diplomatic, legal, ethical, political, governance, and budgetary obstacles and extend advances worldwide, including low- and middle-income countries, seeking to ensure equity to reach worldwide. The world urges and claims for Pos-Pandemic Treaty.

Suggested links:

1-https://youtu.be/MlKBRsk56ho?list=WL

2-https://youtu.be/p_1qqeJC-ng?list=WL

3-https://youtu.be/gxAaO2rsdIs?list=WL

The development and applications of the proposed methodology evolve:

1-The installation and consolidation of a global protocol that confronts future health emergencies currently nonexistent that self-improvement and could be applied to solve other complex problems, includes centered on guaranteeing human survival. All previous stages mentioned addressed a)ameliorating and integrate datasets; b)active-passive monitoring, early confirmation, and rapid management of health emergencies encompass predictive risk models; human and supply resources management and communication effective; c)rapid drug and vaccines engineering with hybrids methods.

2-An increase in the knowledge of the several “techs” related is expected, generating other secondary scientific and technological advances.

3-The consolidation of this protocol with parallel and serial processes may bring emerging properties that we have not yet been able to estimate, in addition to the potential to translate this methodology to other outbreaks and new paradigms.

4-When our methodology is achieved, artificial intelligence-based on all-optic network systems can indirectly benefit. The importance consists of maintaining high fidelity throughout the data transport contains the most significant possible number of data when the final state is measured.

5-These achievements must be an Intellective Heritage of Humanity.

We are concerned with providing impacts on:

a-identification processes of health emergencies.

b-scientific and technological advances.

c-solve other complex problems with outbreaks and new paradigms.

d-Estimate and apply emerging properties and functions.

e-human survival.

Notwithstanding we believe and evidence a disruptive application on a large scale, favorably impacting all of humanity, our proof-of-concept project does not allow us to estimate the tangible benefits quantitatively at this moment.

Researchers worldwide effort to break the barrier, 10^18 floating-point operations per second by the years 2020–2023. The main scientific and technological challenges that need to be addressed are as follows linked with reduction of power consumption(1): Scaling today’s computer technology to the exaflop level would consume more than a gigawatt of power single exascale system. Generating this amount of power requires about 400 wind turbines, assuming an average capacity of 2.5 MW(2). A reduction in power requirement by a factor of at least 100 is needed to make exascale computing economical. Quantum computing, with its unique concept of quantum parallelism(3) bears the potential to bring this revolution to scientific computing. This superposition of states(4) makes quantum computing much powerful. Consider a set of qubits, a quantum register, where each qubit holds a superposition of states. That way, the quantum register, in some sense, holds all possible configurations of input data simultaneously.

1-https://doi-org.ezproxyberklee.flo.org/doi10.1007/s10...

2-https://doi-org.ezproxyberklee.flo.org/10.1007/s10676...

3-https://doi-org.ezproxyberklee.flo.org/10.1214/11-STS378

4-https://doi-org.ezproxyberklee.flo.org/10.1109/MNET.001.1900092

The European Commission was planning to launch a €1 billion flagship initiative on quantum computing starting in 2018 with substantial funding for the next 20 years(1). This is already a follow-up investment in addition to the €550 million. Scientific computing is a rapidly growing multidisciplinary field that uses advanced computer simulation technologies(2) to analyze complex problems arising in physics, biology, medicine, civil engineering, electrical engineering, aerospace engineering, social sciences, and humanities(3). Scientific computing is nowadays widely used in many disciplines(4) such as predict, optimize, and orchestrate devices such as, e.g., predict and optimize the properties of novel materials(5) such as complex composite materials or, only recently, graphene by controlling the creation process; enable bigdata and predictive risk analysis in, e.g., flood, weather and epidemiological forecasting, emergency evacuation planning, and high-frequency trading(6). Due to the tremendous increase in computer power and the massive increase in the algorithms' efficiency, we are now able to simulate more complex phenomena. A societal danger is that the results of the approximation are judged as “the true solution”.

We are certain about future health emergencies and other problems that life-threatening. Also, Time and Life are the most valuable non-tradable assets.

1-https://doi-org.ezproxyberklee.flo.org/doi10.1007/s10...

2-https://doi-org.ezproxyberklee.flo.org/doi10.2172/1194404.

3-https://digital-strategy.ec.eu...

4-https://singularityhub.com/201...

5-https://doi-org.ezproxyberklee.flo.org/10.7873/DATE.2...

6-https://doi-org.ezproxyberklee.flo.org/10.1007/s10676...

Our team has people concerns with high developing scientific and technological purposes and is committed to the humanitarian cause. We summarized below some barriers and ways to overcome them.

1-Technical barriers that we would overcome in next year: a-Educational gaps briefly surmountable theoretical and experimental experiences available worldwide; b-Lack of human resources, including the need for other experts in other areas of knowledge supplantable with hiring, consulting, cooperation with expanding our network and team.

2-Legal, cultural and policy barriers: We need multidisciplinary, transcultural, and multilateral approaches, including public, private, academic, and community partnerships, besides dialogues with global Institutional, governments, and other international leaders. The post-pandemics international treaty must be considered. 3-Infrastructure challenges and costs that we would overcome in the next three years. The extensive impacts of this current crisis that raised exponentially justify this investment, especially when considering other potential benefits. 4-Theoretical and technical limits:  a-quantum computers need extra effort to detect and correct errors since all Q-bit technologies available today are fragile and prone to errors; b-requires about 400 wind turbines, assuming an average capacity of 2.5MW. A reduction in power requirement is needed to make exascale computing economical. These limits depend on experimental advances.

We organize ourselves independently to work committed and voluntarily concerned with the humanitarian, health, social and economic crisis, inspire scientific and humanitarian purposes, and considering the high probability of future health emergencies. Also, other major global problems will arise that potentially compromise human survival by requiring new paradigms and outbreaks. 

The human intellective capital is heterogeneously distributed worldwide but with sociocultural immobility. We are concerned that despite the scientific warnings, the world´s reaction exposed the dangers of siloed and unprepared management that raised the crisis impact and compromised several lives. Time and life are the most valuable non-tradable assets.

We are certain about future health emergencies and other significant and complex problems that will challenge human survival.

Our proposed methodology ensures safe global technologies protocols. Specifically, we must instrumentalize ourselves with intellective, cultural, scientific-technologic resources. Furthermore, we understand each human being like family members and the Earth-like our only residence without frontiers. In this way, we need to join other experts from different fields of knowledge, increasing our network possibilities and teamwork providing theoretical and experimental experiences worldwide.

Humanity has spent trillions of dollars with destructive and trivial technology forgetting to guarantee the species' survival.

Only the impacts of Flu variants cost Three Trillion dollars. We could create a small core of resources for our project. However, we prefer to integrate teams and reuse existing infrastructure worldwide while partners.

University environment and social welfare provide a singular experience for ideas and research developing, with long-lasting humanitarian impact.

Potential partners could include all “The Trinity Challenge” Member organizations, including founding members, and other organizations to accomplish comprise our previously mentioned purposes.

We consider partnership relations with prestigious Universities and Research Institutes and Foundations such as Cambridge University, Imperial College London, Northeastern University, London School of Economics and Political Science, King’s College London, Oxford University, Imperial College London, University of Melbourne, National University Singapore, University of Gottingen, Ludwig Maximilian University, Max Plank Institutes, CERN, Los Alamos Lab, Stone Brooks, Ivy League, and other prestigious North American Universities including Massachusetts Institute Technology, University Caltech University, Stanford University, Duke University, University of Toronto, McMaster University, NIH, University of Melbourne, among others.

We consider philanthropic and regulatory International institutions such as United Nations Organizations, among others.