scholarly journals Human Development VIII: A Theory of “Deep” Quantum Chemistry and Cell Consciousness: Quantum Chemistry Controls Genes and Biochemistry to Give Cells and Higher Organisms Consciousness and Complex Behavior

2006 ◽  
Vol 6 ◽  
pp. 1441-1453 ◽  
Author(s):  
Søren Ventegodt ◽  
Tyge Dahl Hermansen ◽  
Trine Flensborg-Madsen ◽  
Maj Lyck Nielsen ◽  
Joav Merrick
Keyword(s):  
Quantum Chemistry ◽  
Single Cells ◽  
Biological Molecules ◽  
Biological Information ◽  
Quantum Fields ◽  
Biochemical Activity ◽  
Philosophical Approach ◽  
Biochemical Processes ◽  
Correct Hypothesis ◽  
And Behavior

Deep quantum chemistry is a theory of deeply structured quantum fields carrying the biological information of the cell, making it able to remember, intend, represent the inner and outer world for comparison, understand what it “sees”, and make choices on its structure, form, behavior and division. We suggest that deep quantum chemistry gives the cell consciousness and all the qualities and abilities related to consciousness. We use geometric symbolism, which is a pre-mathematical and philosophical approach to problems that cannot yet be handled mathematically. Using Occam’s razor we have started with the simplest model that works; we presume this to be a many-dimensional, spiral fractal. We suggest that all the electrons of the large biological molecules’ orbitals make one huge “cell-orbital”, which is structured according to the spiral fractal nature of quantum fields. Consciousness of single cells, multi cellular structures as e.g. organs, multi-cellular organisms and multi-individual colonies (like ants) and human societies can thus be explained by deep quantum chemistry. When biochemical activity is strictly controlled by the quantum-mechanical super-orbital of the cell, this orbital can deliver energetic quanta as biological information, distributed through many fractal levels of the cell to guide form and behavior of an individual single or a multi-cellular organism. The top level of information is the consciousness of the cell or organism, which controls all the biochemical processes. By this speculative work inspired by Penrose and Hameroff we hope to inspire other researchers to formulate more strict and mathematically correct hypothesis on the complex and coherence nature of matter, life and consciousness.

scholarly journals The Development of Single-Cell Metabolism and Its Role in Studying Cancer Emergent Properties

2022 ◽  
Vol 11 ◽  
Author(s):  
Dingju Wei ◽  
Meng Xu ◽  
Zhihua Wang ◽  
Jingjing Tong
Keyword(s):  
Tumor Cell ◽  
Single Cell ◽  
Immune Escape ◽  
Cell Metabolism ◽  
Single Cells ◽  
Metabolic Reprogramming ◽  
Biological Information ◽  
Emergent Properties ◽  
Anti Cancer ◽  
Cell Metabolomics

Metabolic reprogramming is one of the hallmarks of malignant tumors, which provides energy and material basis for tumor rapid proliferation, immune escape, as well as extensive invasion and metastasis. Blocking the energy and material supply of tumor cells is one of the strategies to treat tumor, however tumor cell metabolic heterogeneity prevents metabolic-based anti-cancer treatment. Therefore, searching for the key metabolic factors that regulate cell cancerous change and tumor recurrence has become a major challenge. Emerging technology––single-cell metabolomics is different from the traditional metabolomics that obtains average information of a group of cells. Single-cell metabolomics identifies the metabolites of single cells in different states by mass spectrometry, and captures the molecular biological information of the energy and substances synthesized in single cells, which provides more detailed information for tumor treatment metabolic target screening. This review will combine the current research status of tumor cell metabolism with the advantages of single-cell metabolomics technology, and explore the role of single-cell sequencing technology in searching key factors regulating tumor metabolism. The addition of single-cell technology will accelerate the development of metabolism-based anti-cancer strategies, which may greatly improve the prognostic survival rate of cancer patients.

scholarly journals Assessing the measurement transfer function of single-cell RNA sequencing

2016 ◽  
Author(s):  
Hannah R. Dueck ◽  
Rizi Ai ◽  
Adrian Camarena ◽  
Bo Ding ◽  
Reymundo Dominguez ◽  
...  
Keyword(s):  
Transfer Function ◽  
Single Cell ◽  
Rna Sequencing ◽  
Large Scale ◽  
Transfer Functions ◽  
Single Cells ◽  
Biological Information ◽  
Gene Detection ◽  
Single Cell Rna Sequencing ◽  
Scale Control

AbstractRecently, measurement of RNA at single cell resolution has yielded surprising insights. Methods for single-cell RNA sequencing (scRNA-seq) have received considerable attention, but the broad reliability of single cell methods and the factors governing their performance are still poorly known. Here, we conducted a large-scale control experiment to assess the transfer function of three scRNA-seq methods and factors modulating the function. All three methods detected greater than 70% of the expected number of genes and had a 50% probability of detecting genes with abundance greater than 2 to 4 molecules. Despite the small number of molecules, sequencing depth significantly affected gene detection. While biases in detection and quantification were qualitatively similar across methods, the degree of bias differed, consistent with differences in molecular protocol. Measurement reliability increased with expression level for all methods and we conservatively estimate the measurement transfer functions to be linear above ~5-10 molecules. Based on these extensive control studies, we propose that RNA-seq of single cells has come of age, yielding quantitative biological information.

Description of the mature larva and pupa of Ora semibrunnea Pic (Coleoptera: Scirtidae) with notes on its biology

Zootaxa ◽  
2019 ◽  
Vol 4551 (1) ◽  
pp. 53 ◽  
Author(s):  
GABRIELLE JORGE ◽  
MARÍA LAURA LIBONATTI ◽  
CESAR JOÃO BENETTI ◽  
NEUSA HAMADA
Keyword(s):  
Water Surface ◽  
Brazilian Amazon ◽  
First Record ◽  
Biological Information ◽  
Mature Larva ◽  
Natural Lakes ◽  
Morphological Adaptations ◽  
Brazilian Amazon Region ◽  
And Behavior ◽  
First Time

In this paper we describe and illustrate for the first time the immature forms (larva and pupa) of Ora semibrunnea Pic, 1922, including biological information and behavior observed in the laboratory. This is the first record of the occurrence of this species in the Brazilian Amazon region. Larvae and pupae were found in natural lakes associated with macrophyte banks. Pupae are aquatic and have morphological adaptations (well-developed pronotal siphons) to obtain atmospheric O2 at the water surface. 

scholarly journals Bioentity2vec: Attribute- and behavior-driven representation for predicting multi-type relationships between bioentities

GigaScience ◽  
2020 ◽  
Vol 9 (6) ◽  
Author(s):  
Zhen-Hao Guo ◽  
Zhu-Hong You ◽  
Yan-Bin Wang ◽  
De-Shuang Huang ◽  
Hai-Cheng Yi ◽  
...  
Keyword(s):  
Computational Models ◽  
Molecular Level ◽  
Area Under The Curve ◽  
Biological Information ◽  
Precision Recall Curve ◽  
Classification Tasks ◽  
Systematic Understanding ◽  
Biological Entities ◽  
And Behavior ◽  
Recall Curve

Abstract Background The explosive growth of genomic, chemical, and pathological data provides new opportunities and challenges for humans to thoroughly understand life activities in cells. However, there exist few computational models that aggregate various bioentities to comprehensively reveal the physical and functional landscape of biological systems. Results We constructed a molecular association network, which contains 18 edges (relationships) between 8 nodes (bioentities). Based on this, we propose Bioentity2vec, a new method for representing bioentities, which integrates information about the attributes and behaviors of a bioentity. Applying the random forest classifier, we achieved promising performance on 18 relationships, with an area under the curve of 0.9608 and an area under the precision-recall curve of 0.9572. Conclusions Our study shows that constructing a network with rich topological and biological information is important for systematic understanding of the biological landscape at the molecular level. Our results show that Bioentity2vec can effectively represent biological entities and provides easily distinguishable information about classification tasks. Our method is also able to simultaneously predict relationships between single types and multiple types, which will accelerate progress in biological experimental research and industrial product development.

Quantum Chemistry Simulation of Biological Molecules

2020 ◽  
Author(s):  
Eudenilson Albuquerque ◽  
Umberto Laino Fulco ◽  
Ewerten Caetano ◽  
Valder Freire
Keyword(s):  
Quantum Chemistry ◽  
Biological Molecules ◽  
Quantum Chemistry Simulation

Bioinformatics Data Management and Data Mining

2008 ◽  
pp. 1714-1721
Author(s):  
Boris Galitsky
Keyword(s):  
Data Mining ◽  
Human Genetics ◽  
Genome Mapping ◽  
Biological Information ◽  
Model Organisms ◽  
Functional Study ◽  
Biological Research ◽  
Biochemical Processes ◽  
E Coli ◽  
Mapping Techniques

Bioinformatics is the science of storing, extracting, organizing, analyzing, interpreting, and utilizing information from biological sequences and molecules.  The focus of bioinformatics is the application of computer technology to the management of biological information. Specifically, it is the science of developing computer databases and algorithms to facilitate and expedite biological research, particularly in genomics. It has been mainly stimulated by advances in DNA sequencing and genome mapping techniques (Adams, Fields & Venter, 1994). Genomics is the discipline that studies genes and their functions, including the functional study of genes, their resulting proteins, and the role played by the proteins in the biochemical processes, as well as the study of human genetics by comparisons with model organisms such as mice, fruit flies, and the bacterium E. coli

Bioinformatics Data Management and Data Mining

2005 ◽  
pp. 29-34 ◽  
Author(s):  
Boris Galitsky
Keyword(s):  
Data Mining ◽  
Human Genetics ◽  
Genome Mapping ◽  
Biological Information ◽  
Model Organisms ◽  
Functional Study ◽  
Biological Research ◽  
Biochemical Processes ◽  
E Coli ◽  
Mapping Techniques

Bioinformatics is the science of storing, extracting, organizing, analyzing, interpreting, and utilizing information from biological sequences and molecules.  The focus of bioinformatics is the application of computer technology to the management of biological information. Specifically, it is the science of developing computer databases and algorithms to facilitate and expedite biological research, particularly in genomics. It has been mainly stimulated by advances in DNA sequencing and genome mapping techniques (Adams, Fields & Venter, 1994). Genomics is the discipline that studies genes and their functions, including the functional study of genes, their resulting proteins, and the role played by the proteins in the biochemical processes, as well as the study of human genetics by comparisons with model organisms such as mice, fruit flies, and the bacterium E. coli

Bifunctional electro-optical nanoprobe to real-time detect local biochemical processes in single cells

2011 ◽  
Vol 26 (11) ◽  
pp. 4484-4490 ◽  
Author(s):  
Xin Ting Zheng ◽  
Weihua Hu ◽  
Houxiao Wang ◽  
Hongbin Yang ◽  
Wei Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Single Cells ◽  
Biochemical Processes

scholarly journals The impact of atrazine on several biochemical properties of chernozem soil

2008 ◽  
Vol 73 (10) ◽  
pp. 951-959 ◽  
Author(s):  
Lj. Radivojevic ◽  
Slavica Gasic ◽  
Lj. Santric ◽  
R. Stankovic-Kalezic
Keyword(s):  
Application Rate ◽  
Biochemical Properties ◽  
Biochemical Activity ◽  
Clay Loam Soil ◽  
Biochemical Processes ◽  
Real Risk ◽  
Loam Soil ◽  
Set Up ◽  
The Impact ◽  
Soil Dehydrogenase Activity

The impact of the pesticide atrazine on biochemical processes in soil was investigated. Atrazine loadings of 8.0, 40.0 and 80.0 mg/kg soil were laboratory tested in an experiment set up on a clay loam soil. Dehydrogenase activity, change in biomass carbon, soil respiration and metabolic coefficient were examined. The samples were collected for analysis 1, 7, 14, 21, 30 and 60 days after atrazine application. The acquired data indicated that the effect of atrazine on the biochemical activity of the soil depended on its application rate and duration of activity, and the effect was either stimulating or inhibiting. However, the detected changes were found to be transient, indicating that there is no real risk of the compound disrupting the balance of biochemical processes in soil.

The missing link in systems thinking

2016 ◽  
Vol 8 (2) ◽  
pp. 197-208 ◽  
Author(s):  
Jostein Langstrand
Keyword(s):  
Organizational Change ◽  
Organizational Behavior ◽  
Systems Thinking ◽  
Longitudinal Case Study ◽  
Change Initiatives ◽  
Philosophical Approach ◽  
Content Type ◽  
Organizational Infrastructure ◽  
And Behavior

Purpose Systems thinking is well established as an important perspective within the management field. However, the perspective is not always as all-encompassing as sometimes argued. This paper addresses the importance of including structural elements as a part of systems thinking in relation to organizational change. The purpose of the paper is to analyze how organizational infrastructure may influence processes and outcomes of organizational change initiatives. Design/methodology/approach The paper is based on a longitudinal case study of the introduction of lean in a large Swedish manufacturing company. The case study comprises three embedded cases, and the empirical material is based on interviews, observations and document studies. The material has been analyzed with a systems perspective, focusing on the interplay between ideas, infrastructure and behavior in the organization. Findings This paper suggests that organizational infrastructure may have a profound impact on organizational behavior. Consequently, an ambition to change organizational routines will be influenced by not only people’s sense-making and behavior but also the technology and infrastructure with which people interact. Research limitations/implications Thus, alignment between all these entities will facilitate the change process and increase the likelihood of successful organizational change. Thus, systems thinking requires stronger attention to organizational infrastructure to better understand organizational change processes, and a philosophical approach needs to be balanced against behavioral and technical aspects of change. Originality/value This paper challenges much of the received knowledge and assumptions about systems and suggests an expansion of systems thinking.

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