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Based on a material view and reductionism, science has achieved great success. These cognitive paradigms treat the external as an objective existence and ignore internal consciousness. However, this cognitive paradigm, which we take for granted, has also led to some dilemmas related to consciousness in biology and physics. Together, these phenomena reveal the interaction and inseparable side of matter and consciousness (or body and mind) rather than the absolute opposition. However, a material view that describes matter and consciousness in opposition cannot explain the underlying principle, which causes a gap in interpretation. For example, consciousness is believed to be the key to influencing wave function collapse (reality), but there is a lack of a scientific model to study how this happens. In this study, we reveal that the theory of scientific cognition exhibits a paradigm shift in terms of perception. This tendency implies that reconciling the relationship between matter and consciousness requires an abstract theoretical model that is not based on physical forms. We propose that the holistic cognitive paradigm offers a potential solution to reconcile the dilemmas and can be scientifically proven. In contrast to the material view, the holistic cognitive paradigm is based on the objective contradictory nature of perception rather than the external physical characteristics. This cognitive paradigm relies on perception and experience (not observation) and summarizes all existence into two abstract contradictory perceptual states (Yin-Yang). Matter and consciousness can be seen as two different states of perception, unified in perception rather than in opposition. This abstract perspective offers a distinction from the material view, which is also the key to falsification, and the occurrence of an event is inseparable from the irrational state of the observer’s conscious perception. Alternatively, from the material view, the event is random and has nothing to do with perception. We hope that this study can provide some new enlightenment for the scientific coordination of the opposing relationship between matter and consciousness.

Keywords: contradiction; free energy principle; hard problem of consciousness; holistic philosophy; perception; quantum mechanics; reductionism.

Copyright © 2022 Chen and Chen.

It added that the average annual cost of poor mental health per employee in finance and insurance was £5,379, more than double that in any of the 14 other sectors covered.

The report adds to a growing volume of research on the impact of a global mental health crisis on companies and the workplace.

According to the World Health Organization and the International Labour Organization, about 12bn working days are lost every year to depression and anxiety, costing the global economy $1tn annually.

Immunotherapy boosts a person’s own immune system to identify and fight cancer cells that normally evade its defenses.

However, like traditional cancer treatments, immunotherapy may cause or exacerbate cognitive decline, especially in older adults. Because this treatment is much newer than chemotherapy or radiation, these potential side effects have not yet been widely studied.

Gee Su Yang, assistant professor at the UConn School of Nursing, has received a $60,000 CRISP (Clinical Research Innovation Seed Program) Award from the Office of the Vice President for Research to conduct a pilot study of how immunotherapy impacts cognitive function in older cancer patients.

Histone proteins provide essential structural support for DNA in chromosomes, acting as spools around which DNA strands wrap. These proteins have been well studied, but most current tools to study gene expression rely on RNA sequencing. Histone RNA is unique in that its structure prevents the RNA molecules from being detected by current methods.

Thus, the expression of histone genes may be significantly underestimated in tumor samples. The researchers hypothesized that the increased proliferation of cancer cells leads to a very elevated expression, or hypertranscription, of histones to meet the added demands of cell replication and division.

To test their hypothesis, the researchers used CUTAC profiling to examine and map RNAPII, which transcribes DNA into precursors of messenger RNA. They studied 36 FFPE samples from patients with meningioma – a common and benign brain tumor – and used a novel computational approach to integrate this data with nearly 1,300 publicly available clinical data samples and corresponding clinical outcomes.

In tumor samples, the RNAPII enzyme signals found on histone genes were reliably able to distinguish between cancer and normal samples.

RNAPII signals on histone genes also correlated with clinical grades in meningiomas, accurately predicting rapid recurrence as well as the tendency of whole-arm chromosome losses. Using this technology on breast tumor FFPE samples from 13 patients with invasive breast cancer also predicted cancer aggressiveness.


Using a new technology and computational method, researchers have uncovered a biomarker capable of accurately predicting outcomes in meningioma brain tumors and breast cancers.

Getting mRNA into the brain could allow scientists to instruct brain cells to produce therapeutic proteins that can help treat or prevent disease by replacing missing proteins, reducing harmful ones, or activating the body’s defenses.

The research team designed and tested a library of lipids to optimize their ability to cross the blood-brain barrier. Through a series of structural and functional analyses, they identified a lead formulation, termed MK16 BLNP, that exhibited significantly higher mRNA delivery efficiency than existing lipid nanoparticles approved by the Food and Drug Administration (FDA). This system takes advantage of natural transport mechanisms within the blood-brain barrier, including caveolae-and γ-secretase-mediated transcytosis, to move nanoparticles across the barrier, say the investigators.

In studies using mouse models of disease, the BLNP platform successfully delivered therapeutic mRNAs to the brain, demonstrating its potential for clinical application.


Scientists have developed a lipid nanoparticle system capable of delivering messenger RNA (mRNA) to the brain via intravenous injection, a challenge that has long been limited by the protective nature of the blood-brain barrier.

The findings, in mouse models and isolated human brain tissue, were published in Nature Materials. They demonstrate the potential of this technology to pave the way for future treatments for a wide range of conditions such as Alzheimer’s disease, amyotrophic lateral sclerosis, brain cancer, and drug addiction.

The blood-brain barrier serves as a protective shield, preventing many substances—including potentially beneficial therapies—from reaching the brain. While previous research introduced a platform for transporting large biomolecules such as proteins and oligonucleotides into the central nervous system, this new study focuses on a different approach: using specially designed lipid nanoparticles to transport mRNA across the barrier.

How does the human brain learn to see? Research from Max Planck Florida Institute for Neuroscience, Frankfurt Institute for Advanced Studies, and Goethe University Frankfurt explores how early visual experiences restructure circuits in the visual cortex. This research sheds light on the fundamental mechanisms of brain development and visual perception.

Explore the research.


How early visual experience builds reliable brain circuits Because it does it so well, we often take for granted how our brain creates reliable visual representations of our surroundings that are critical for guiding our behavior. While scientists understand a lot about how mature neural circuits support reliable vision, the sequence of developmental events before and after birth that build these circuits is not clear. Collaborating scientists at Max Planck Florida Institute for Neuroscience, the Frankfurt Institute for Advanced Studies, and Goethe University Frankfurt have discovered how early visual experience dramatically changes the brain networks that process vision – changes that are essential for establishing reliable visual perception.

For the first time, it has been confirmed that individual neurons represent the concepts we learn, regardless of the context in which they are encountered, challenging previous beliefs.

A study led by Dr. Rodrigo Quian Quiroga, head of the Neural Mechanisms of Perception and Memory Research Group at the Hospital del Mar Research Institute, has provided the first direct evidence of how neurons in the human brain store memories independently of the context in which they are acquired.

Published in Cell Reports.

A research team has identified different subtypes of white matter (WM) astrocytes, including a unique type with the ability to multiply and potentially aid in brain repair. Using single-cell RNA sequencing and spatial transcriptomics, the scientists mapped astrocyte diversity across different brain regions and species, providing the first detailed molecular profile of WM astrocytes.

The team was led by Dr. Judith Fischer-Sternjak from Helmholtz Munich and Ludwig-Maximilians-Universität (LMU) München, alongside Prof. Magdalena Götz from Helmholtz Munich, LMU and the Munich Cluster for Systems Neurology (SyNergy). The research is published in the journal Nature Neuroscience.

Unveiling white matter astrocyte diversity Astrocytes, known for their crucial role in supporting neurons and maintaining brain health, have been predominantly studied in gray matter (GM), which is involved in information processing. However, white matter astrocytes, which support long-range neural connections, remain poorly understood. This study fills a major knowledge gap by showing that WM astrocytes are not a uniform population but consist of distinct subtypes with specialized roles.

Despite its success, FNP has some limitations: it can’t create stable particles larger than 400 nm, the maximum drug content is about 70 percent, the output is low, and it can only work with very hydrophobic (water-repelling) molecules. These issues arise because the particle core formation and particle stabilization happen simultaneously in FNP. The new SNaP process overcomes these limitations by separating the core formation and stabilization steps.

In the SNaP process, there are two mixing steps. First, the core components are mixed with water to start forming the particle core. Then, a stabilizing agent is added to stop the core growth and stabilize the particles. This second step must happen quickly, less than a few milliseconds after the first step, to control the particle size and prevent aggregation. Current SNaP setups connect two specialized mixers in series, controlling the delay time between steps. However, these setups face challenges, including high costs and difficulties in achieving short delay times needed for small particle formation.

A new approach using 3D printing has solved many of these challenges. Advances in 3D printing technology now allow the creation of precise, narrow channels needed for these mixers. The new design eliminates the need for external tubing between steps, allowing for shorter delay times and preventing leaks. The innovative stacked mixer design combines two mixers into a single setup, making the process more efficient and user-friendly.