On Dark Chemistry: What’s Dark Matter and How Mind Influences Brain Through Proactive Spin

Benjamin has written an article entitled “Dark Chemistry or Psychic Spin Pixel?” which promotes a “dark chemistry” model of mind and discuss the spin-mediated theory. This hypothetical chemistry is based on the hypothetical axion dark matter. Although Benjamin is commendable for boldly going where no one has gone before, he may find himself still in the “bright” territory instead of the “dark” side, if he is willing to use Occam’s razor to cut out “dark” things and replace them with non-local effects. Based on our recent experimental findings, our contentions are two-fold: (1) dark matter is likely the cosmological manifestation of quantum entanglement; and (2) the hypothetical axion dark matter is, therefore, replaceable by non-local effects mediated by the primordial spin processes. We also discuss the cause of apparent dark energy. In particular, we explore the issue how mind influences the brain through said spin processes. Our thoughts are that the manifestation of free will is intrinsically associated with the nuclear and/or electron spin processes inside the varying high electric voltage environment of the neural membranes and proteins which likely enable the said spin processes to be “proactive,” that is, being able to utilize non-local energy (potential) and quantum information to influence brain activities through spin chemistry and possibly other chemical/physical processes in defiance of the second law of thermodynamics

Optimization of Intracranial Hemorrhage Using CT Scan Images and Feature Extraction

Intracranial bleeding is among the most severe forms of brain stroke. The neurologic effects and artery rupture cause bleeding in the brain and the tissue around it. Haemorrhage is classified based on where the bleeding occurs on the brain. This paper depicts the application of multiple machine-learning approaches to separate CT scan images into normal and pathological categories. Separate analysis is conducted on the functionality of the features extracted from the various texturing approaches, such as the Grey Level Co-occurrence Matrix (GLCM) and Grey Level Run-Length Matrix (GRLM). Particle Swarm Optimisation (PSO) and K-Nearest Neighbours are used to choose relevant characteristics that increase the classification accuracy for feature extraction. The findings demonstrate that these texture features have excellent discrimination accurac

Uranium Monosulfide. The Ferromagnetic Transition. The Heat Capacity and Thermodynamic Properties from 1.5° to 350°K

The heat capacity of uranium monosulfide was measured from 1.5° to 22°K by an isothermal (isoperibol) method and from 6° to 350°K by an adiabatic technique. The ferromagnetic transition at 180.1°K has a characteristic lambda shape and associated magnetic ordering entropy and enthalpy increments of 1.62 ± 0.2 cal °K−1mole−1 and 231 ± 20 cal mole−1, respectively, over the temperature range 0° to 230°K. The correlation of the thermal data with magnetic studies is discussed. The heat capacity below 9°K is represented by Cp  =  5.588 × 10−3T + 2.627 × 10−4T3 / 2 + 6.752 × 10−5T3cal°K−1mole−1Cp=5.588×10−3T+2.627×10−4T3∕2+6.752×10−5T3cal°K−1mole−1, in which the successive terms represent conduction electronic, magnetic, and lattice contributions. Values of the entropy [S°], enthaply function [(H° − H°0) / T][(H°−H°0)∕T], and Gibbs‐energy function [(G° − H°0) / T][(G°−H°0)∕T] are 18.64 ± 0.005, 8.94 ± 0.002, and − 9.70 ± 0.02 cal °K−1 mole−1, respectively, at 298.15°K. The Gibbs energy of formation at 298.15°K is − 72.9 ± 3.5 kcal mole−1.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/70623/2/JCPSA6-48-1-155-1.pd

Spin-Mediated Consciousness: Theory, Experimental Studies, Further Development & Related Topics

We postulate that consciousness is intrinsically connected to quantum spin since the latter is the origin of quantum effects in both Bohm and Hestenes quantum formulisms and a fundamental quantum process associated with the structure of space-time. Applying these ideas to the particular structures and dynamics of the brain, we have developed a detailed model of quantum consciousness. We have also carried out experiments from the perspective of our theory to test the possibility of quantum-entangling the quantum entities inside the brain with those of an external chemical substance. We found that applying magnetic pulses to the brain when an anaesthetic was placed in between caused the brain to feel the effect of said anaesthetic as if the test subject had actually inhaled the same. We further found that drinking water exposed to magnetic pulses, laser light or microwave when an anaesthetic was placed in between also causes brain effects in various degrees. Additional experiments indicate that the said brain effect is indeed the consequence of quantum entanglement. Recently we have studied non-local effects in simple physics systems. We have found that the pH value, temperature and gravity of a liquid in the detecting reservoirs can be non-locally affected through manipulating another liquid in a remote reservoir quantum-entangled with the former. In particular, the pH value changes in the same direction as that being manipulated; the temperature can change against that of local environment; and the gravity can change against local gravity. We suggest that they are mediated by quantum entanglement between nuclear and/or electron spins in treated liquid and discuss the profound implications of these results. This paper now also includes materials on further development of the theory and related topics.Comment: 92 pages; expanded content; minor corrections; for additional information, please visit http://quantumbrain.or

Towards Big data Governance in Cybersecurity

Big data refers to large complex structured or unstructured data sets. Big data technologies enable organisations to generate, collect, manage, analyse, and visualise big data sets, and provide insights to inform diagnosis, prediction, or other decision-making tasks. One of the critical concerns in handling big data is the adoption of appropriate big data governance frame- works to: 1) curate big data in a required manner to support quality data access for effective machine learning, and 2) ensure the framework regulates the storage and processing of the data from providers and users in a trustworthy way within the related regulatory frame- works (both legally and ethically). This paper proposes a framework of big data governance that guides organisations to make better data-informed business decisions within the related regularity framework, with close attention paid to data security, privacy and accessibility. In order to demonstrate this process, the work also presents an example implementation of the framework based on the case study of big data governance in cyber- security. This framework has the potential to guide the management of big data in different organisations for information sharing and cooperative decision-making

Case management services in the community: Benefits and outcomes

The purpose of this study is to advance knowledge in the area of case management services by investigating what characteristics are most frequent in clients who complete the case management program and in clients who did not complete the case management provided through the Montclair Community Collaborative (MCC). This research addresses case management services and centers on obtaining client data pertaining to case management services, focusing on the family\u27s outcome. The general research methodology consisted of a qualitative review (content analysis) of an existing data set (case records). This study examined a random sample of 130 MCC case management studies

EFFECTIVENESS OF SERVICES IN FOSTER CARE FROM THE FOSTER PARENTS\u27 PERSPECTIVE

The purpose of this study was to gain a better understanding of foster parent perceptions of the services their foster youth were receiving. This study aimed to gather information based on how effective foster parents felt these services were in the hopes that this information can lead to better service provisions. This study conducted a secondary analysis of qualitative interviews of fifteen foster parents with foster children enrolled in Hesperia Unified School District. Qualitative data analysis revealed themes and subthemes in positive and negative experiences associated County versus school service referrals, as well as social worker communication with foster families. The study found that participants related effectiveness of services with social worker availability, communication, timeliness, and assistance with tasks. This study recommends County social workers are provided further training through their employer to develop more effective communication and follow-up skills. The study also recommends research be conducted with additional school districts within San Bernardino to gather a larger sample size of San Bernardino County foster parents

THE IMPORTANCE OF SELF-CARE AMONG HOSPICE SOCIAL WORKERS

Social workers in general face daily challenges, but social workers in the field of hospice face unique daily stressors. The purpose of this study was to investigate what self-care methods hospice social workers use to combat burnout and compassion fatigue. One hundred hospice social workers were surveyed. Researchers used two scales to measure participants’ current self-care methods and their current quality of life. Researchers used two tailed Pearson test to analyze relationships between self-care and burnout as well as self-care and compassion satisfaction. Researchers also utilized various SPSS tests to analyze the relationship between demographics and self-care method. Participants reported using all categories of self-care methods equally with no significant difference. The most significant results are that compassion satisfaction was positively correlated to all self-care categories and burnout is negatively correlated to all the self-care areas. These results indicated that there is a relationship between frequency of self-care methods and low rates of burnout and compassion fatigue