Canonical Scheme Research Articles

A Learned-SVD Approach to the Electromagnetic Inverse Source Problem.

We propose an artificial intelligence approach based on deep neural networks to tackle a canonical 2D scalar inverse source problem. The learned singular value decomposition (L-SVD) based on hybrid autoencoding is considered. We compare the reconstruction performance of L-SVD to the Truncated SVD (TSVD) regularized inversion, which is a canonical regularization scheme, to solve an ill-posed linear inverse problem. Numerical tests referring to far-field acquisitions show that L-SVD provides, with proper training on a well-organized dataset, superior performance in terms of reconstruction errors as compared to TSVD, allowing for the retrieval of faster spatial variations of the source. Indeed, L-SVD accommodates a priori information on the set of relevant unknown current distributions. Different from TSVD, which performs linear processing on a linear problem, L-SVD operates non-linearly on the data. A numerical analysis also underlines how the performance of the L-SVD degrades when the unknown source does not match the training dataset.

Avatars contemporains du conteur dans Le Petit Chaperon Uf de Jean-Claude Grumberg

Avatars of the Storyteller in Le Petit Chaperon Uf by Jean-Claude Grumberg. Since the 17th century, when the story became part of the written literature thanks to Charles Perrault, the fairy-tale Le Petit Chaperon rouge represents an inexhaustible source of inspiration for all art creators. Over time, the renewal stakes of this canonical history changed and, during the 21st century, the heroine of the marvelous universe enters the theatre stage and inscribes the recreative approach of the tale in a contemporary art that puts together aesthetics and ethics. One of the authors who successfully managed to reconcile ancient and contemporary culture by transforming the canonical scheme of this tale is Jean-Claude Grumberg. Being a contemporary writer who finds the creative substance of his work in his childhood memories and in the painful experience of the deportation of the Jews, Grumberg wrote in 2005 the play Le Petit Chaperon Uf in order to tell the Shoah differently and to propose alternatives to a possible recurrence of evil. In his process of cultural and generic adaptation of the tale, the storyteller has an essential role. Our study aims to answer to two questions: ''why the storyteller is metamorphosing?'' and ''who is his avatar?'' in the play Le Petit Chaperon Uf. Playing an essential role in the process of transmitting the tale over time, nowadays, he becomes part of the performance and his voice merges with the voice of other participants in the action. The wolf-storyteller and the heroine-storyteller try, each in turn, to tell the tale in order to impose their own version of the great [His]Story of humanity: the terrifying and monstrous, for the Nazi-wolf, and that of peace, for the little girl forced to wear the yellow hood. Keywords: fairy-tale, theatrical adaptation, hybridization, rewriting, contemporary literature.

Black hole singularity resolution in Wheeler–DeWitt quantum gravity

Ever since Hawking highlighted the puzzle of the existence of a singularity in the classical spacetime of general relativity, implying breakdown of all laws of physics living in the classical spacetime, singularity resolution became a problem of significantly high importance. This undesirable feature, indicating loss of predictability, has intrigued physicists over several decades. It has been hoped that the classical singularity would be resolved in a quantum theory of gravity. However, no appropriate wave function in the vicinity of the black hole singularity has been obtained so far to reach a definite conclusion.In this paper, we focus upon the interior of the Schwarzschild black hole, plagued by a non-removable classical singularity. We consider the interior spacetime of the black hole to be represented by the Kantowski–Sachs metric. Since in a quantum mechanical scenario, existence of spontaneous fluctuations of matter fields should not be ignored, we include a Klein–Gordon field in the system. Quantizing this simple gravity-matter model in the canonical scheme, we obtain the Wheeler–DeWitt equation and find an exact solution in the minisuperspace variables.We find that there exist three classes of solutions belonging to three different subregions of the eigenvalue space. Two of these classes of solutions admit the DeWitt criterion, a necessary condition for singularity resolution, implied by vanishing of the wave function at the singularity. These solutions are well-behaved and finite in the vicinity of the singularity and they indicate the existence of regular black holes in quantum gravity. In these classes of solutions, we further find that the expectation value of the Kretschmann operator is well-behaved and regular near the singularity, confirming a definite resolution to the puzzle of classical black hole singularity. On the other hand, there exists a small subregion in the eigenvalue space where the solution does not satisfy both conditions, the DeWitt criterion and finiteness of the Kretschmann expectation value at the singularity. This last class of solutions does not represent regular quantum black holes.

Uma leitura tensiva do suspense em Continuidade dos parques, de Julio Cortázar

This article examines, under the interpretation of tensive semiotics, the effect of sense of suspense in the short story Continuity of Parks, by Julio Cortázar. It takes as a starting point the ascending canonical tensive scheme of suspense, which foresees, as a tensive cipher, a gradual increase in intensity, while the intelligible dimension of the discourse would tend to decrease. Based on the definition of suspense presented by Claude Zilberberg (2011, p. 136) as "the extensive dilation of an intensive expectation", it is defended, in the analysis of this text, a complexification of the canonical tensive scheme, to the extent that the suspense stems from movements of enunciative positions that overlap in the text and that configure a singular tensive path, in which the intensive subdimensions of tempo and tonicity gain strength at the end of the short story, without, however, compromising the exercise of the presence of the cognitive, intelligible dimension of extensity, which remains active in the discursive field, even in the moment of surprise, thus keeping the reader-enunciatee in a state.

Image Encryption Technology Based on Fractal Image Compression Algorithm

As the most commonly used information transmission method, digital images often store a large amount of personal information. To prevent information leakage, encrypting images is essential. Common image encryption techniques suffer from certain limitations, such as overly simple encryption methods and long encryption times. In response to the above issues, this study proposes the Frobenius canonical form image encryption scheme. It calculates the fractal code through the fractal compression algorithm and to encrypt the image, it adjusts the brightness coefficient in the fractal code. To address unsatisfactory correlation coefficients in encrypted images, the Frobenius canonical form image encryption is improved by introducing the Arnold transformation encryption, which combines the two methods to reduce correlation coefficients. Finally, the knight tour algorithm is put forward. In response to the long image scrambling time in the knight tour algorithm, the Tetragonal theorem is combined with the scheme to encrypt the image. It is then re-encrypted using the Frobenius canonical form. The experimental findings illustrate that when using Frobenius canonical form, Arnold transformation combined with Frobenius canonical form, and the tetragonal algorithm combined with knight tour algorithm to encrypt Lena images, the three decryption methods correspond to image similarity of over 70%, over 80%, and over 90%, respectively. Combining the tetragonal algorithm and the knight tour algorithm can significantly increase the security of image encryption.

A Density Potential Functional Approach for Mesoscopic Metal-Solution Interfaces

Mesoscopic metal-solution interfaces (MSI) are found at nanostructured electrodes in myriad electrochemical devices. Resolving the local reaction environment for electrochemical reactions occurring in mesoscopic MSIs requires a constant-potential, computationally economic method that properly treat both quantum mechanical metal electrons and almost classical electrolyte components. We have been developing a density potential functional theory (DPFT) to meet these harsh requirements [1-4]. Our DPFT method combines an orbital-free density functional theory of quantum mechanical metal electrons, a statistical field theoretic description of classical electrolyte ions and solvent, and Morse potentials describing short-range interactions between the two parts that are parameterized using first-principles based computations. In this talk, I will introduce the theoretical framework, its relationship to other similar methods including the jellium model and implicit solvation model, its parameterization and benchmark with experimental and ab initio simulation data, and recent applications to understand solvent effects on potential of zero charge, mechanoelectrochemistry of MSIs, and supported nanoparticle catalysts. The emerging opportunities, future development needs, and important caveats of the DPFT method will be discussed. Reference Huang J, Zhang Y, Li M, Groß A, Sakong S. Comparing Ab Initio Molecular Dynamics and a Semiclassical Grand Canonical Scheme for the Electric Double Layer of the Pt (111)/Water Interface. The Journal of Physical Chemistry Letters. 2023 Feb 27;14:2354-63.Huang J. Density-Potential Functional Theory of Electrochemical Double Layers: Calibration on the Ag (111)-KPF6 System and Parametric Analysis. Journal of Chemical Theory and Computation. 2023 Jan 18.Huang J, Chen S, Eikerling M. Grand-canonical model of electrochemical double layers from a hybrid density–potential functional. Journal of chemical theory and computation. 2021 Mar 31;17(4):2417-30.Huang J. Hybrid density-potential functional theory of electric double layers. Electrochimica Acta. 2021 Sep 1;389:138720. J.H. is supported by the Helmholtz Young Investigators Group Leader Program.

Crosstalk of CGMP and CAMP in the vertebrate phototransduction cascade

The conventional phototransduction cascade suggests that cyclic guanosine monophosphate (cGMP) functions as the chief secondary messenger while intracellular calcium concentration dominates as the central feedback modulator. Countless years and several scientific institutions have led to this conclusion, and it stands as the most extensively researched and explicit among all sensory transduction schemes. However, experimental evidence suggests that our understanding of the phototransduction cascade mechanisms remains significantly incomplete [1]. According to the canonical cascade scheme, all transients should be completed within a second once the light stimulus is no longer present. However, our data indicates that there are long-lasting changes in cell sensitivity and dark current parameters after the stimulus, which can last for more than 10 s. Phenomena that deviate from the standard phototransduction cascade behavior can potentially be clarified by an alternative regulatory mechanism that is based on cyclic adenosine monophosphate (cAMP). Previous research has provided convincing evidence that the intracellular levels of cAMP can significantly impact the functioning of the phototransduction cascade on both slow (day) [2] and relatively fast (minutes) [3] time scales. Additionally, there is phenomenological evidence indicating the existence of other regulatory signaling pathways in the phototransduction cascade without a corresponding mechanism in the classical phototransduction scheme, including inositol triphosphate (IP3) and diacylglycerol (DAG). We investigate whether cAMP, IP3, and DAG regulate the phototransduction cascade during photoresponse. For this regulatory effect to occur, there must be a change in the signaling molecule concentration during the process. These processes occur in less than a second, and it is crucial for the presence of the regulatory effect. Given that traditional fluorescence methods cannot measure the concentration of any signaling molecule in the retina, a hardware-software setup has been developed that allows cryofixation of retinal samples at the required speed. The setup permits fixing up to six samples in a series with a delay of no more than 80 milliseconds after light stimulation. The concentration of signal molecules is assessed using high-performance liquid chromatography coupled with high-resolution tandem mass spectrometry. The results demonstrate a 4.5-fold elevation in cAMP concentration 1.1 s after switching on a light with an intensity close to saturation. The concentration of cAMP is directly proportional to the intensity of the stimulating light; there is no increase in cAMP at lower light intensities. No noteworthy changes in IP3 and DAG concentration were detected in response to light stimulation. The findings align with existing literature on the kinetics of light-triggered protein kinase A (PKA) activity [3], which indicated an initial decrease followed by an increase in PKA activity. These results could potentially inform the revision and expansion of the phototransduction cascade model.

Constrained Hybrid Monte Carlo Sampling Made Simple for Chemical Reaction Simulations.

Most electrochemical reactions should be studied under a grand canonical ensemble condition with a constant potential and/or a constant pH value. Free energy profiles provide key insights into understanding the reaction mechanisms. However, many molecular dynamics (MD)-based theoretical studies for electrochemical reactions did not employ an exact grand canonical ensemble sampling scheme for the free energy calculations, partially due to the issues of discontinuous trajectories induced by the particle-number variations during MD simulations. An alternative statistical sampling approach, the Monte Carlo (MC) method, is naturally appropriate for the open-system simulations if we focus on the thermodynamic properties. An advanced MC scheme, the hybrid Monte Carlo (HMC) method, which can efficiently sample the configurations of a system with large degrees of freedom, however, has limitations in the constrained-sampling applications. In this work, we propose an adjusted constrained HMC method to compute free energy profiles using the thermodynamic integration (TI) method. The key idea of the method for handling the constraint in TI is to integrate the reaction coordinate and sample the rest degrees of freedom by two types of MC schemes, the HMC scheme and the Metropolis algorithm with unbiased trials (M(RT)2-UB). We test the proposed method on three different systems involving two kinds of reaction coordinates, which are the distance between two particles and the difference of particles' distances, and compare the results to those generated by the constrained M(RT)2-UB method serving as benchmarks. We show that our proposed method has the advantages of high sampling efficiency and convenience of implementation, and the accuracy is justified as well. In addition, we show in the third test system that the proposed constrained HMC method can be combined with the path integral method to consider the nuclear quantum effects, indicating a broader application scenario of the sampling method reported in this work.

Storytelling in prevention: the case-study of accidents at work. How the narrative method can enhance the prevention of occupational injuries.

This article aims to analyze the elements of the narrative which, applied to investigations of accidents at work, transform them into stories, making the dynamics of accidents clearer, more complete and emotionally engaging and also capable of being transferred to a non-experts audience. The theoretical reference identified for the analysis of the accident histories is the work of the Lithuanian semiologist Algirdas Julien Greimas. The title, the dimensions of space and time, the characters (according to the actantial model), the point of view, the structure of the story (following the canonical narrative scheme), and the moral of the tale are the elements of the narration analyzed in this article. This article illustrates how the dynamics of accidents can lend themselves to being told according to the typical categories of narration and textual organization, resulting in them being enriched with important elements for the communication of prevention and the learning of safe behaviour. The accident investigation that becomes history takes on important characteristics also in terms of communication: the contents become clearer, more accessible and more engaging. Unlike traditional surveys, injury stories, through the elements of the narrative and in particular with the addition of indications for prevention, become an efficient learning and sharing tool valid in training contexts, and the contents effectively usable in practice of prevention workers. The narration applied to accidents at work, allowing for greater attention to the elements of the context, relationships and the emotional sphere of the various actors involved, is able to bring out more clearly the important and various factors that can contribute to causing an accident, becoming thus an effective tool for the transfer of indications for prevention.

A Cooperative P2P Trading Framework: Developed and Validated Through Hardware-in-Loop

In the past five years, the importance of peer-to-peer (P2P) trading for promoting the use of renewable energy has been demonstrated in many scientific literature and pilot projects. However, a large-scale demonstration of P2P trading in today’s electricity market is yet to be implemented. The reason for this can be partially attributed to two factors. First, most existing pilot projects focus on the aspects of communications between different participants and settlements of energy trading parameters between them without giving considerable attention to the impact of such trading on the distribution network. Second, scientific studies that have rigorously investigated the impact on distribution networks mostly validated their frameworks using numerical simulations without substantiating the findings through hardware implementation. In this paper, this gap is addressed by proposing a ready-to-implement canonical coalition game-based P2P energy trading scheme for electricity customers within a local distribution network. It is shown that the proposed scheme not only guarantees stable and fair outcomes for all participants, but also satisfies all mandatory power network constraints during the trading process. Importantly, the proposed framework is implemented in an RSCAD-RTDS (real-time digital simulator) platform and the readiness of the scheme for a real-field trial is demonstrated through validation in software-in-loop and hardware-in-loop setups. The usefulness and suitability of the proposed scheme to be implemented in today’s electricity network are established via both software-in-loop and hardware-in-loop case studies.

Raychaudhuri equation from Lagrangian and Hamiltonian formulation: A quantum aspect

The paper deals with a suitable transformation related to the metric scalar of the hyper-surface so that the Raychaudhuri Equation (RE) can be written as a second order nonlinear differential equation. A first integral of this second order differential equation gives a possible analytic solution of the RE. Also, it is shown that construction of a Lagrangian (and hence a Hamiltonian) is possible, from which the RE can be derived. Wheeler-Dewitt equation has been formulated in canonical quantization scheme and norm of its solution (wave function of the universe) is shown to affect the singularity analysis in the quantum regime for any spatially homogeneous and isotropic cosmology. Finally Bohmian trajectories are formulated with causal interpretation and these quantum trajectories unlike classical geodesics obliterate the initial big-bang singularity when the quantum potential is included.

Canonical Witt formal scheme extensions and p-torsion groups

We study the nth arithmetic jet space of the p-torsion subgroup attached to a smooth commutative formal group scheme. We show that the nth jet space above fits in the middle of a canonical short exact sequence between a power of the formal scheme of Witt vectors of length n and the p-torsion subgroup we started with. This result generalizes a result of Buium on roots of unity.

Comparing Ab Initio Molecular Dynamics and a Semiclassical Grand Canonical Scheme for the Electric Double Layer of the Pt(111)/Water Interface.

The theoretical modeling of metal/water interfaces centers on an appropriate configuration of the electric double layer (EDL) under grand canonical conditions. In principle, ab initio molecular dynamics (AIMD) simulations would be the appropriate choice for treating the competing water-water and water-metal interactions and explicitly considering the atomic and electronic degrees of freedom. However, this approach only allows simulations of relatively small canonical ensembles over a limited period (shorter than 100 ps). On the other hand, computationally efficient semiclassical approaches can treat the EDL model based on a grand canonical scheme by averaging the microscopic details. Thus, an improved description of the EDL can be obtained by combining AIMD simulations and semiclassical methods based on a grand canonical scheme. By taking the Pt(111)/water interface as an example, we compare these approaches in terms of the electric field, water configuration, and double-layer capacitance. Furthermore, we discuss how the combined merits of the approaches can contribute to advances in EDL theory.

Martini 3 Coarse-Grained Force Field for Carbohydrates.

The Martini 3 force field is a full reparametrization of the Martini coarse-grained model for biomolecular simulations. Due to the improved interaction balance, it allows for a more accurate description of condensed phase systems. In the present work, we develop a consistent strategy to parametrize carbohydrate molecules accurately within the framework of Martini 3. In particular, we develop a canonical mapping scheme which decomposes arbitrarily large carbohydrates into a limited number of fragments. Bead types for these fragments have been assigned by matching physicochemical properties of mono- and disaccharides. In addition, guidelines for assigning bonds, angles, and dihedrals were developed. These guidelines enable a more accurate description of carbohydrate conformations than in the Martini 2 force field. We show that models obtained with this approach are able to accurately reproduce osmotic pressures of carbohydrate water solutions. Furthermore, we provide evidence that the model differentiates correctly the solubility of the polyglucoses dextran (water-soluble) and cellulose (water insoluble but soluble in ionic liquids). Finally, we demonstrate that the new building blocks can be applied to glycolipids. We show they are able to reproduce membrane properties and induce binding of peripheral membrane proteins. These test cases demonstrate the validity and transferability of our approach.

Shorter Linkable Ring Signature Based on Middle-Product Learning with Errors Problem

Abstract DualRing is a novel generic construction introduced by Yuen et al. (CRYPTO’21), which can transform a special kind of (Type-T*) canonical identification scheme to a ring signature scheme. Compared with the classical approaches, this method can get a shorter signature. In this paper, we construct a new middle-product learning with errors (MPLWE)-based ring signature scheme by using this framework. Specifically, we propose a new MPLWE-based identification scheme, which is compatible with the DualRing, then we obtain a ring signature scheme by using DualRing framework. We also show how to achieve linkability from this ring signature by using a collision resistant hash function. In the end, we provide available parameter options for our (linkable) ring signature scheme. Under these parameters, the signature size of our linkable ring signature is $2-40 \times $ shorter (depending on the ring size) than the previous MPLWE-based scheme by Das et al. (Africacrypt’19).

Об устойчивости и сходимости разностной схемы, аппроксимирующей краевую задачу для одного дифференциального уравнения с дробной производной Капуто

In the work on the segment of the total, the first boundary value problem for a differential equation with a fractional Caputo derivative. For an approximate solution of this problem, the method of finite differences is used. A difference scheme was built on the nearest grid, which approximately replaces the proposed edge bristle. The resulting differ-ence scheme approximates the boundary value for a differential equation with a fractional Caputo derivative with the first order. Canonical detection differential detection scheme for increased activity detection. It is shown that the fulfillment of the conditions of the highest quality and an a priori estimate is obtained. The a priori estimate implies the stability of the solution with respect to the initial data and the right-hand side. The convergence of the solution of the difference problem according to the Lax theorem to the solution of the corresponding differential equation is proved.

Linking different drought types in a small catchment from a statistical perspective – Case study of the Wernersbach catchment, Germany

Drought is a complex natural phenomenon, which is challenging to define and to describe quantitatively. Canonical drought propagation scheme ‘meteorological → agricultural (or soil related) → hydrological’ does not always reflect the reality in a catchment. Thus it is necessary to include compound or cascading effects of precipitation, soil moisture and discharge interactions on different time scales to get a comprehensive picture on the drought characteristics, as well as on its development and recovery.We studied the linkage between droughts over multiply temporal scales and severity levels using various statistical methods for a case study of a small forested catchment in Germany. It was found that indeed different types of droughts are highly interconnected and their behavior can significantly differ from the classical scheme.A simple empirical approach gives frequencies, seasonality and trends of various combinations of droughts. It showed that among all types the test site is mostly exposed to a light hydro-meteorological one especially in autumn months with an increasing trend. Multivariate distributions can be used to evaluate joint probabilities and return periods of drought components. It was revealed that the well-known European drought in 2018 was also presented as an extreme case of a joint hydro-meteo-soil drought in the examined catchment. By Markov chains one can analyze the transition and persistence between droughts. Well-established propagation pathways between different types and severity levels of droughts with high persistence for longer droughts were found for the study area.

Quantum-Based Molecular Dynamics Simulations Using Tensor Cores.

Tensor cores, along with tensor processing units, represent a new form of hardware acceleration specifically designed for deep neural network calculations in artificial intelligence applications. Tensor cores provide extraordinary computational speed and energy efficiency but with the caveat that they were designed for tensor contractions (matrix-matrix multiplications) using only low-precision floating-point operations. Despite this perceived limitation, we demonstrate how tensor cores can be applied with high efficiency to the challenging and numerically sensitive problem of quantum-based Born-Oppenheimer molecular dynamics, which requires highly accurate electronic structure optimizations and conservative force evaluations. The interatomic forces are calculated on-the-fly from an electronic structure that is obtained from a generalized deep neural network, where the computational structure naturally takes advantage of the exceptional processing power of the tensor cores and allows for high performance in excess of 100 Tflops on a single Nvidia A100 GPU. Stable molecular dynamics trajectories are generated using the framework of extended Lagrangian Born-Oppenheimer molecular dynamics, which combines computational efficiency with long-term stability, even when using approximate charge relaxations and force evaluations that are limited in accuracy by the numerically noisy conditions caused by the low-precision tensor core floating-point operations. A canonical ensemble simulation scheme is also presented, where the additional numerical noise in the calculated forces is absorbed into a Langevin-like dynamics.

METHODOLOGICAL ORGANIZATION OF PSYCHOLOGY AS A SPHERE OF THINKING ACTIVITY

The methodological research is devoted to the substantiation of an alternative view on psychology as a universum of human life activity and thus as on a special worldview and on the ability to see everything in focus of human. This alternativity is based on the well-known idea of G. P. Shchedrovytsky, expressed in 1980, to consider psychology not as a science that has its own subject and method, but as “the whole world, perceived from a certain point of view.” It is argued that such a broad understanding of psychology as a sphere of thinking-activity, firstly, does not deny the scientific (object-subject) method to its multidisciplinary development, although it indicates its reduction filters and explanatory limitations, and secondly, reveals a universal way to expand the competent horizon of the influence of psychology on personal and social life and cultural development of citizens and all mankind. The author’s cyclic-deed approach became a complex tool for solving the last supertask, which made it possible to substantially detalize the canonical organizational scheme of V. A. Romenets’ deed deployment in the form of four thematic research strategies of personal thinking-activity. In particular, at the stage of the situation the field of psychology is covered as the interpenetration of different rational humanistic knowledge and psychological work of any content and direction, original worldview and anthropocentric thinking-activity and as a result of the ubiquitous form of constructing social environment and way of human’s life realization, which is explained by such innovative epistemic products as the scheme of thinking-activity, a six-level model of professional methodologization, a paradigmatic-research map, etc. At the stage of motivation, this area should get rid of the existing spontaneity and get a clear methodological organization that would harmonize psychological researches, design and methodical developments, techniques and practices into a single covital organism of development of all psycho-spiritually oriented thinking-activity, which, in turn, would stimulate socio-cultural approval of such basic components of spherical psychologization as work, thought communication, reflective activity, thinking, thinking-activity. The stage of action is a responsible for everyone and for all period of consolidation in the individual and mass consciousness of psychology understanding as an already formed and developed sphere of thinking-activity, which overcomes the narrow framework of purely natural-scientific consideration of psycho-spiritual reality and is primarily interested in the intentions, goals and values of psychological work fulfillment in four dimensions (development of psychological knowledge, pure thinking, thinking-activity, and use of psychological toolkit) and in five basic types (theoretical, research-design, applied, empirical, psychocultural). The content of the post-action stage should be a continuous and almost total reflection of individual, collective and social thinking-activity creation of a multifaceted world of psychological practice and thus gaining new knowledge and competencies and enriching the experience of psychological work of all who belong to this field. Finally, mainly for the sake of applied visualization of the advocated ideas, concepts and methodologems, a detailed characteristic of the situational, motivational, active and post-action components of the educational content of the newly created author’s program in the discipline “Psychology as a sphere of thinking-activity” was carried out, which has been successfully implemented for several years in the preparation of doctors of philosophy in psychology.

A Canonical Scheme of Bottom-Up and Top-Down Information Flows in the Frontoparietal Network.

Goal-directed behavior often involves temporal separation and flexible context-dependent association between sensory input and motor output. The control of goal-directed behavior is proposed to lie in the frontoparietal network, but the computational architecture of this network remains elusive. Based on recent rodent studies that measured and manipulated projection neurons in the frontoparietal network together with findings from earlier primate studies, we propose a canonical scheme of information flows in this network. The parietofrontal pathway transmits the spatial information of a sensory stimulus or internal motor bias to drive motor programs in the frontal areas. This pathway might consist of multiple parallel connections, each controlling distinct motor effectors. The frontoparietal pathway sends the spatial information of cognitively processed motor plans through multiple parallel connections. Each of these connections could support distinct spatial functions that use the motor target information, including attention allocation, multi-body part coordination, and forward estimation of movement state (i.e., forward models). The parallel pathways in the frontoparietal network enable dynamic interactions between regions that are tuned for specific goal-directed behaviors. This scheme offers a promising framework within which the computational architecture of the frontoparietal network and the underlying circuit mechanisms can be delineated in a systematic way, providing a holistic understanding of information processing in this network. Clarifying this network may also improve the diagnosis and treatment of behavioral deficits associated with dysfunctional frontoparietal connectivity in various neurological disorders including Alzheimer’s disease.