The Foundations of Socionics ᅢ까タᅡモ a Review
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Socionics Vs MBTI
Socionics Theorem The MBTI ® Brief History: Socionics theorem, available The MBTI ®, available since the since the 1970s, currently 1940s, currently represents one represents one of the least of the most widely used and known albeit newest accepted interpretations of Carl interpretations of Carl Jung’s Jung’s original Psychological original Psychological Types . Types , first written in the 1920s. Created primarily by Aushra Created primarily by Isabel Augusta, a Lithuanian Briggs, an American psycho- Psychologist and ‘ILE’ type theorist and ‘INFP’ type according to the Socionic model according to the Myers-Briggs of the psyche. Temperament Instrument ®. A relatively new and modern Based almost entirely off Carl theorem with re-worked theories Jung's theories with the inclusion and ideas from Carl Jung, of a 'four types of person' model Sigmund Freud and Antoni derived from centuries old Kepinski. observations. The Sixteen Psychological Types: Sixteen base types identified as Sixteen absolute types identified secondary reference points for as primary reference points for understanding relationships. understanding individuals. Generally places an emphasis on Generally places an emphasis on an individual type as relative to an individual type as absolute other types to varying degrees. with specific 'pros and cons'. Minimal potential for The Forer Maximal potential for The Forer Effect when describing individual Effect when describing as types. individuals as types. The Sixteen Inter-Type Relations: Relationships between four out Relationships between all sixteen of sixteen types appear unequal types appear equal and and asymmetrical. symmetrical. It is generally ‘easier’ to It is generally ‘harder’ to understand relationships because understand relationships because inter-type interactions are the the individual types themselves 'reference point'. -
Socionics: the Effective Theory of the Mental Structure and the Interpersonal Relations Forecasting Bukalov A.V., Karpenko O.B., Chykyrysova G.V
Socionics: the effective theory of the mental structure and the interpersonal relations forecasting Bukalov A.V., Karpenko O.B., Chykyrysova G.V. (International Institute of Socionics, Melnikova str., 12, Kiev, 02206, Ukraine. E-mail: [email protected] ) Socionics, the theory of informational metabolism, has developed a whole spec- trum of new intellectual technologies used in personnel management, pedagogic, investigation of interpersonal relations in family, psychotherapy, for formation of effective workgroups and development of artificial intelligence systems. It is de- scribed the basic categories of modeling of the informational structure of psyche and the main principles of modeling of interaction between the subjects as the dif- ferent types of the informational structures. 1. Introduction The scientific basis of Socionics was created in early 70-th of the XX century by Aušra Augustinavičiūtė (Lithuania). Socionics is a further development of Jung ty- pology transformed into a science of 16 psychological types of personality. A. Augustinavičiūtė used A. Kępiński concept of information processes in creating her own informational model of human mind - the “A” (Aušra's 8-element) mod- els. This allowed describing various aspects of personality thinking and behavior by representing personality as a type of informational metabolism (TIM) with indi- cation of its strong and weak sides. This implied the possibility of describing and forecasting not only behavior of IM types, but relationships between such types as well. These relationships are condi- tioned by informational exchange between identical IM functions located at differ- ent positions in the IM model of types. Such description is an advance in the sphere of sciences about human being. -
Transforming the Enterprise Architecture Through Personnel Design
E3S Web of Conferences 138, 02010 (2019) https://doi.org/10.1051/e3sconf/201913802010 CATPID-2019 Transforming the enterprise architecture through personnel design Igor Petrov1*, Lev Bulychev1 , Natalia Bushueva2 , and Aleksandr Zheltenkov 3 1Vyatka State University, 36, Moskovskaya str., Kirov, Russia 2 University named after S.Yu. Witte, 2nd Kozhukhovsky passage, 12, bld.1, Moscow 3 Moscow Region State University, 105005, Radio str, 10A, Moscow, Russia Abstract. Changes in the external environment, market and technology require adaptability and flexibility of organizations. It is realized through system monitoring and continuous business transformation and requires changes in the system of goals and indicators, policies, business processes, organizational structure, and IT solutions. Such transformations need systemic coordination in several functional areas: strategic management, performance management, business process management, organizational design, information systems design, personnel management, knowledge management, etc. The article describes possibilities of transforming the enterprise architecture through personnel design. This method is not studied well enough as the human factor is mostly unpredictable, but it is the basis of all transformations. The developed methodology was tested at the department of Vyatka State University. As a result, the authors have identified reasons for the low efficiency of certain types of activities and described necessary intertypes for strengthening positions. The research states that intertype analysis allows to simulate the microclimate in a department or organization. Moreover, understanding intertype relationships helps to manage implicit knowledge and communication between employees, which is very important according to Kaizen. 1 Introduction Currently, the company needs to respond quickly to changes in the external environment, market and technology, to be flexible and meet different internal and external standards. -
A New Biological Definition of Life
BioMol Concepts 2020; 11: 1–6 Research Article Open Access Victor V. Tetz, George V. Tetz* A new biological definition of life https://doi.org/10.1515/bmc-2020-0001 received August 17, 2019; accepted November 22, 2019. new avenues for drug development and prediction of the results of genetic interventions. Abstract: Here we have proposed a new biological Defining life is important to understand the definition of life based on the function and reproduction development and maintenance of living organisms of existing genes and creation of new ones, which is and to answer questions on the origin of life. Several applicable to both unicellular and multicellular organisms. definitions of the term “life” have been proposed (1-14). First, we coined a new term “genetic information Although many of them are highly controversial, they are metabolism” comprising functioning, reproduction, and predominantly based on important biological properties creation of genes and their distribution among living and of living organisms such as reproduction, metabolism, non-living carriers of genetic information. Encompassing growth, adaptation, stimulus responsiveness, genetic this concept, life is defined as organized matter that information inheritance, evolution, and Darwinian provides genetic information metabolism. Additionally, approach (1-5, 15). we have articulated the general biological function of As suggested by the Nobel Prize-winning physicist, life as Tetz biological law: “General biological function Erwin Schrödinger, in his influential essay What Is of life is to provide genetic information metabolism” and Life ?, the purpose of life relies on creating an entropy, formulated novel definition of life: “Life is an organized and therefore defined living things as not just a “self- matter that provides genetic information metabolism”. -
Constructing Protocells: a Second Origin of Life
04_SteenRASMUSSEN.qxd:Maqueta.qxd 4/6/12 11:45 Página 585 Session I: The Physical Mind CONSTRUCTING PROTOCELLS: A SECOND ORIGIN OF LIFE STEEN RASMUSSEN Center for Fundamental Living Technology (FLinT) Santa Fe Institute, New Mexico USA ANDERS ALBERTSEN, PERNILLE LYKKE PEDERSEN, CARSTEN SVANEBORG Center for Fundamental Living Technology (FLinT) ABSTRACT: What is life? How does nonliving materials become alive? How did the first living cells emerge on Earth? How can artificial living processes be useful for technology? These are the kinds of questions we seek to address by assembling minimal living systems from scratch. INTRODUCTION To create living materials from nonliving materials, we first need to understand what life is. Today life is believed to be a physical process, where the properties of life emerge from the dynamics of material interactions. This has not always been the assumption, as living matter at least since the origin of Hindu medicine some 5000 years ago, was believed to have a metaphysical vital force. Von Neumann, the inventor of the modern computer, realized that if life is a physical process it should be possible to implement life in other media than biochemistry. In the 1950s, he was one of the first to propose the possibilities of implementing living processes in computers and robots. This perspective, while being controversial, is gaining momentum in many scientific communities. There is not a generally agreed upon definition of life within the scientific community, as there is a grey zone of interesting processes between nonliving and living matter. Our work on assembling minimal physicochemical life is based on three criteria, which most biological life forms satisfy. -
28 159-163 Badri 1 Socionica +
Transactions. Georgian Technical University. AUTOMATED CONTROL SYSTEMS - No 1(8), 2010 SOCIONICS BASED FUZZY EXPERT SYSTEM Badri Meparishvili, Qetevan Meparishvili, Nino Tavberidze Georgian Technical University Abstract This paper deals with problems of Socionics as an important means of expert systems in social communication systems. For the time of its development, a whole spectrum of new intellectual technologies similar to pedagogic, interpersonal relations in family and public, psychotherapy, personnel management, formation of effective workgroups stipulate development of artificial intelligence systems, and especially - expert systems. The socionic knowledge allows organizing management or production in all spheres of human activity more effectively. The proposed approach of computer-based Socionic technologies has the potential to add a new perspective to Socionics and multi-agent systems research in general. Keywords: Socionics. Social technologies. Informational science. Artificial intelligence systems. Personnel management. 1. Introduction The human civilization enters a new phase of its development, in which information technologies, such as Internet, are determining. Socionics, in turn, offers psycho-informational technologies, which allow human consciousness to be on the same level with achievements of information and electronic technologies. It is known that when human thinking is behind technical development of a society this result in huge quantity of social problems. Being an independent organization, the International Socionic institute is open for cooperation with state, public and private structures in training socionic technologies and their practical application. Existing and created socionic technologies stimulate, in turn, development of new information technologies, and this process goes with acceleration. It is obviously, that societies, countries, states fully using socionic methods and technologies, receive significant advantage against sociums and states not using them. -
Thermodynamics of Irreversible Processes. Physical Processes in Terrestrial and Aquatic Ecosystems, Transport Processes
DOCUMENT RESUME ED 195 434 SE 033 595 AUTHOR Levin, Michael: Gallucci, V. F. TITLE Thermodynamics of Irreversible Processes. Physical Processes in Terrestrial and Aquatic Ecosystems, Transport Processes. TNSTITUTION Washington Univ., Seattle. Center for Quantitative Science in Forestry, Fisheries and Wildlife. SPONS AGENCY National Science Foundation, Washington, D.C. PUB DATE Oct 79 GRANT NSF-GZ-2980: NSF-SED74-17696 NOTE 87p.: For related documents, see SE 033 581-597. EDFS PRICE MF01/PC04 Plus Postage. DESCRIPTORS *Biology: College Science: Computer Assisted Instruction: Computer Programs: Ecology; Energy: Environmental Education: Evolution; Higher Education: Instructional Materials: *Interdisciplinary Approach; *Mathematical Applications: Physical Sciences; Science Education: Science Instruction; *Thermodynamics ABSTRACT These materials were designed to be used by life science students for instruction in the application of physical theory tc ecosystem operation. Most modules contain computer programs which are built around a particular application of a physical process. This module describes the application of irreversible thermodynamics to biology. It begins with explanations of basic concepts such as energy, enthalpy, entropy, and thermodynamic processes and variables. The First Principle of Thermodynamics is reviewed and an extensive treatment of the Second Principle of Thermodynamics is used to demonstrate the basic differences between reversible and irreversible processes. A set of theoretical and philosophical questions is discussed. This last section uses irreversible thermodynamics in exploring a scientific definition of life, as well as for the study of evolution and the origin of life. The reader is assumed to be familiar with elementary classical thermodynamics and differential calculus. Examples and problems throughout the module illustrate applications to the biosciences. -
Reddit: a Gold Mine for Personality Prediction
Reddit: A Gold Mine for Personality Prediction Matej Gjurkovic´ and Jan Šnajder University of Zagreb, Faculty of Electrical Engineering and Computing Text Analysis and Knowledge Engineering Lab Unska 3, 10000 Zagreb, Croatia {matej.gjurkovic,jan.snajder}@fer.hr Abstract well-established model which classifies personality traits along five dimensions: extraversion, agree- Automated personality prediction from social media is gaining increasing attention in natural ableness, conscientiousness, neuroticism, and open- language processing and social sciences com- ness. In contrast, the Myers-Briggs Type Indica- munities. However, due to high labeling costs tor model (MBTI) (Myers et al., 1990) recognizes and privacy issues, the few publicly available 16 personality types spanned by four dimensions: datasets are of limited size and low topic di- Introversion/Extraversion (how one gains energy), versity. We address this problem by introduc- Sensing/iNtuition (how one processes information), ing a large-scale dataset derived from Reddit, a Thinking/Feeling (how one makes decisions), and source so far overlooked for personality predic- tion. The dataset is labeled with Myers-Briggs Judging/Perceiving (how one presents herself or Type Indicators (MBTI) and comes with a rich himself to the outside world). Despite some contro- set of features for more than 9k users. We versy regarding test validity and reliability (Barb- carry out a preliminary feature analysis, reveal- uto Jr, 1997), the MBTI model has found numerous ing marked differences between the MBTI di- applications, especially in the industry1 and for self- mensions and poles. Furthermore, we use the discovery. Although the Big Five and MBTI mod- dataset to train and evaluate benchmark per- els are built on different theoretical perspectives, sonality prediction models, achieving macro studies have shown their dimensions to be corre- F1-scores between 67% and 82% on the indi- vidual dimensions and 82% accuracy for exact lated (McCrae and Costa, 1989; Furnham, 1996). -
Biology Track
Degree Plan for Biology (B.S.) 3+3 Leading to Pharm.D. Fall Spring First Year UNV101: University Seminar I (3 credits) & X FYT100: First Year Transitions (1 credit) BIO111: General Biology I & Lab (4 credits) X CHM113: General Chemistry I & Lab (4 credits) X MTH191: Applied Calculus (3 credits) X UNV102: University Seminar II (3 credits) X BIO112: General Biology II & Lab (4 credits) X CHM114: General Chemistry II & Lab (4 credits) X STA173: Statistical Methods (3 credits) X ECN101: Introductory Macroeconomics (3 credits) X Second Year RTS225: Quest for the Ultimate (3 credits) or X X PHL225: Quest for the Good Life (3 credits) (one each semester) BIO220: Cell Biology and Chemistry & Lab (4 credits) X CHM205: Organic Chemistry I & Lab (4 credits) X Literature Core Course (3 credits) X Foreign Language Core Course (3 credits) X X CHM206: Organic Chemistry II & Lab (4 credits) X BIO253: Genetics: Classical, Molecular and Population (4 credits) X Visual & Performing Arts Core Course (3 credits) X Third Year BIO210: Microbiology (4 credits) X BIO305: Human Anatomy (4 credits) X PHY201: General Physics I & Lab (4 credits) X History Core Course (3 credits) X Religious & Theological Studies Core Course (3 credits) X BIO471: Biology Capstone (3 credits) X BIO325: Human Physiology (4 credits) X PHY202: General Physics II & Lab (4 credits) X Social Science Core Course (3 credits) X Philosophy Core Course (3 Credits) X Fourth Year at University of Saint Joseph PHCY701: Introduction to the Profession of Pharmacy (2 credits) PHCY704: Pharmaceutical -
Extending the Abstraction of Personality Types Based on MBTI with Machine Learning & Natural Language Processing
Extending the Abstraction of Personality Types based on MBTI with Machine Learning & Natural Language Processing (NLP) Carlos Basto Abstract This study focuses on the essential basis for the classification of psychological types – that is, the basis This paper presents a data-centric approach with for determining a broader spectrum of characteristics Natural Language Processing (NLP) to predict derived from a human being (Jung and Baynes, 1953)– personality types based on the MBTI (an through the use of machine learning and natural language introspective self-assessment questionnaire that processing. This topic is crucial in differential indicates different psychological preferences psychology and has been extensively worked on by Carl Jung (further details and correlated studies available no about how people perceive the world and make 1 decisions) through systematic enrichment of IAAP ) which allows us to ensure that the psychological text representation, based on the domain of the classification of different types of individuals is a area, under the generation of features based on promising step towards self-knowledge. three types of analysis: sentimental, grammatical and aspects. The experimentation Under Jung's proposal (Geyer, 2014), a dominant had a robust baseline of stacked models, with function, along with the dominant attitude, characterizes premature optimization of hyperparameters consciousness, while its opposite is repressed and through grid search, with gradual feedback, for characterizes the unconscious. This dualism is extremely each of the four classifiers (dichotomies) of valuable in understanding and, eventually, predicting MBTI. The results showed that attention to the personality types. Thus, this classification opened doors data iteration loop focused on quality, for further enrichment of his work. -
Downloaded from the NBCI FTP Server As Genbank files and Consisted of Two Strains of P
G C A T T A C G G C A T genes Article A Pan-Genome Guided Metabolic Network Reconstruction of Five Propionibacterium Species Reveals Extensive Metabolic Diversity Tim McCubbin 1, R. Axayacatl Gonzalez-Garcia 1, Robin W. Palfreyman 1 , Chris Stowers 2, Lars K. Nielsen 1 and Esteban Marcellin 1,* 1 Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, QLD 4072, Australia; [email protected] (T.M.); [email protected] (R.A.G.-G.); [email protected] (R.W.P.); [email protected] (L.K.N.) 2 Corteva Agriscience, Indianapolis, IN 46268, USA; [email protected] * Correspondence: [email protected] Received: 31 July 2020; Accepted: 10 September 2020; Published: 23 September 2020 Abstract: Propionibacteria have been studied extensively since the early 1930s due to their relevance to industry and importance as human pathogens. Still, their unique metabolism is far from fully understood. This is partly due to their signature high GC content, which has previously hampered the acquisition of quality sequence data, the accurate annotation of the available genomes, and the functional characterization of genes. The recent completion of the genome sequences for several species has led researchers to reassess the taxonomical classification of the genus Propionibacterium, which has been divided into several new genres. Such data also enable a comparative genomic approach to annotation and provide a new opportunity to revisit our understanding of their metabolism. Using pan-genome analysis combined with the reconstruction of the first high-quality Propionibacterium genome-scale metabolic model and a pan-metabolic model of current and former members of the genus Propionibacterium, we demonstrate that despite sharing unique metabolic traits, these organisms have an unexpected diversity in central carbon metabolism and a hidden layer of metabolic complexity. -
Psychiatry: an Update
Liu et al 34 Tekin S, Cummings JL. Frontal-subcortical neuronal circuits and clinical 41 Diorio D, Viau V, Meaney MJ. The role of the medial prefrontal cortex neuropsychiatry: an update. J Psychosom Res 2002; 53: 647–54. (cingulate gyrus) in the regulation of hypothalamic-pituitary-adrenal 35 Bonelli RM, Cummings JL. Frontal-subcortical circuitry and behavior. responses to stress. J Neurosci 1993; 13: 3839–47. Dialogues Clin Neurosci 2007; 9: 141–51. 36 Drevets WC. Functional anatomical abnormalities in limbic and prefrontal 42 Song YJ, Korgaonkar MS, Armstrong LV, Eagles S, Williams LM, Grieve SM. cortical structures in major depression. Prog Brain Res 2000; 126: 413–31. Tractography of the brainstem in major depressive disorder using diffusion 37 Wakana S, Jiang H, Nagae-Poetscher LM, van Zijl PC, Mori S. Fiber tract- tensor imaging. PloS One 2014; 9: e84825. based atlas of human white matter anatomy. Radiology 2004; 230: 77–87. 38 Basser PJ, Pierpaoli C. Microstructural and physiological features of tissues 43 Benedetti F, Yeh PH, Bellani M, Radaelli D, Nicoletti MA, Poletti S, et al. elucidated by quantitative-diffusion-tensor MRI. J Magn Reson 1996; 111: Disruption of white matter integrity in bipolar depression as a possible 209–19. structural marker of illness. Biol Psychiatry 2011; 69: 309–17. 39 Beaulieu C. The basis of anisotropic water diffusion in the nervous system – a technical review. NMR Biomed 2002; 15: 435–55. 44 Alexopoulos GS, Glatt CE, Hoptman MJ, Kanellopoulos D, Murphy CF, Kelly Jr 40 Ahima RS, Harlan RE. Charting of type II glucocorticoid receptor-like RE, et al.