Parallel Action Research Articles

Role of atrial natriuretic peptide in the dissociation between flow relations with ventricular mass and function in a community with volume-dependent hypertension.

Whether differential effects of volume load on left ventricular mass (LVM) and function occur in sustained volume-dependent primary hypertension, and the impact of atrial natriuretic peptide (ANP) on these effects, is unknown. From aortic pressure, velocity and diameter measurements and echocardiography, we determined in an African community (n = 772), the impact of systemic flow-induced increases in central pulse pressure (PPc) and circulating ANP (ELISA) on LVM and indexes of function. Stroke volume (SV), but not aortic flow (Q), was associated with LVM and mean wall thickness (MWT) beyond stroke work and confounders (p < 0.0001). Adjustments for SV markedly decreased the relationships between PPc and LVMI or MWT. However, neither SV, nor Q were independently associated with either myocardial s', e', or E/e' (p > 0.14) and adjustments for neither SV nor Q modified relationships between PPc and s', e' or E/e' (p < 0.005 to <0.0001). SV was nevertheless strongly and independently associated with ANP (p < 0.0001) and ANP was similarly strikingly associated with s' (p < 0.0001) and e' (p < 0.0005), but not E/e', independent of confounders and several determinants of afterload. Importantly, ANP concentrations were inversely rather than positively associated with LV diastolic dysfunction (DD) (p < 0.005) and lower rather than higher ANP concentrations contributed markedly to the ability to detect DD in those with, but not without LV hypertrophy. In populations with sustained volume-dependent hypertension, flow (SV)-related increases in PP have a major impact on LV structure, but not on function, an effect attributed to parallel striking beneficial actions of ANP on myocardial function.

Smaller preferred interpersonal distance for joint versus parallel action.

During social interaction, humans prefer to keep a certain distance between themselves and other individuals. This preferred 'interpersonal distance' (IPD) is known to be sensitive to social context, and in the present study we aimed to further investigate the extent to which IPD is affected by the specific type of social interaction. In particular, we focused on the contrast between joint actions, where two or more individuals coordinate their actions in space and time to achieve a shared goal, and parallel actions, where individuals act alongside each other but individually. We predicted that joint action would be associated with a smaller preferred IPD compared to parallel action. Additionally, given that this research took place in the midst of the COVID-19 pandemic, we aimed to assess whether IPD preferences are affected by individuals' concerns about infection in general, as well as COVID-19 in particular. We predicted that higher individual concerns would be associated with greater preferred IPD. To test these hypotheses, we asked participants to imagine different social scenarios (involving either joint or parallel actions alongside a stranger) and indicate, on a visual scale, their preferred IPD. The results of two experiments (n = 211, n = 212) showed that participants preferred a shorter distance when they imagined acting jointly compared to when they imagined acting in parallel. Moreover, participants who reported higher discomfort for potential pathogen contact and who were more aware of the COVID-19 context in which the study took place preferred a larger IPD in general. Our results provide further evidence that different types of social interaction shape IPD preference. We discuss potential reasons for this phenomenon and highlight remaining questions for future research.

Modeling principles, criteria and indicators to assess water sector governance for climate compatibility and sustainability

The United Nations SDGs Report 2020 revealed that climatic variability victimized masses across the globe in 2018 and the global average temperature would rise to 3.2°C during this century. The GHG emission reduction targets for 2030 were prioritized under the Paris Climate Agreement (PCA) of 2015 to keep the rise in global temperature below 1.5°C. Here, parallel action for climate adaptation is on top of it. However, targets for both adaptation and mitigation are lagging. Climatic variations will continue more likely with similar trends thus influencing the development needs vis-à-vis environmental security and sustainability of resources. It entails climate compatibility, particularly for the water security agenda for SDG-13 and Paris Climate Agreement (PCA), which requires an inclusive governance regime and ownership for national and sub-national scenarios. In this context, this paper aimed to assess existing water sector governance for climate compatible development (CCD) by taking the case of Pakistan which is among the top 10 countries vulnerable to climate change. Considering the limitations of available methodologies due to the involvement of various aspects and concepts of governance, an integrated multivariate mix-method model was formulated by combining rules and rights-oriented approaches. This MCDA-based model integrates six novel climate governance principles against six basic components of the basic institutional governance framework; Simple Multi-attribute Rating Technique (SMART) with a set of sectoral indicators of 09 criteria of climate compatible development (CCD). It proved well for this water sector case study with cross-sectional data from 340 key informant interviews (KIIs) and 17 focus group discussions (FGDs) in Pakistan, validated statistically. It can be used for periodic sectoral governance assessments for CCD.

Analysis of the correlation between genetic and species diversity in a temperate forest: Variation in cohorts and effect of disturbance

Species diversity and genetic diversity are related through three possible predictions: the parallel action of eco-evolutionary processes on the two diversity components; the influence of genetic diversity on species diversity; or vice versa. Environmental factors affect these relationships because they affect population size and migration. Since environmental changes have a late effect on genetic diversity in long-lived species, this study analyzed the relationship between species diversity and genetic diversity of two cohorts of Abies religiosa and Pinus montezumae in temperate forest tree assemblages and explored the effect of anthropogenic disturbance on this relationship. We expected to find positive correlations and an effect of species diversity on genetic diversity, relationships that become more intense under anthropogenic disturbance and in seedling populations. Twelve assemblages with evident deforestation were identified in La Malinche National Park; in each assemblage, disturbance was measured by the percentage of forest cover and the Disturbance Impact Factor. We estimated additive diversity and species turnover between pairs of assemblages while genetic diversity, differentiation, and distances were derived based on single-nucleotide polymorphisms. To test the first prediction, Spearman's correlations between species diversity and genetic diversity were performed, while the second and third predictions were assessed by constructing General Linear Models (GLMs). The influence of disturbance was evaluated using partial correlations and GLMs. In both species, positive correlations were identified that varied between cohorts, and disturbance had an interactive and additive influence on these relationships. In P. montezumae seedlings, species diversity affected genetic diversity, while we observed the opposite effect in adults. Furthermore, the genetic differentiation of A. religiosa seedlings was associated with environmental distances. Controlling land-use changes in temperate forests is a top priority for conserving species diversity and safeguarding genetic diversity and ecosystem functioning. This research contributes to understanding the eco-evolutionary processes that govern tree assemblages of temperate forests.

Effect of a Geometric Potential on the Eigenfunction and Eigenvalue of the Energy of State in a Twisted Graphene Nanoribbon

An expression is obtained for an effective geometric potential based on a coordinate system for a nanoribbon twisted in the form of a helicoid. The effective geometric potential for a Schrödinger equation is used to study a graphene nanoribbon of finite length with “armchair” edges under the action of an external electric field parallel to them. Solutions are calculated for the energy levels and wave functions of electrons in the vicinity of the Dirac point. It is shown there is only one state in the transverse direction.

Effect of a Geometric Potential on the Eigenfunction and Eigenvalue of the Energy of State in a Twisted Graphene Nanoribbon

An expression is obtained for an effective geometric potential based on a coordinate system for a nanoribbon twisted in the form of a helicoid. The effective geometric potential for a Schrödinger equation is used to study a graphene nanoribbon of finite length with “armchair” edges under the action of an external electric field parallel to them. Solutions are calculated for the energy levels and wave functions of electrons in the vicinity of the Dirac point. It is shown there is only one state in the transverse direction.

АНАЛІЗ СИСТЕМИ ПАРАЛЕЛЬНОГО НЕЙРОУПРАВЛІННЯ ДИНАМІЧНИМИ ОБ'ЄКТАМИ

The article analyzes the effectiveness of the neural network control system, which together with the PIDcontroller implements the principle of parallel control of a dynamic object. As a rule, most industrialfacilities are characterized by non-linear dependencies, the presence of uncontrolled noise anddisturbances, frequent changes in equipment operating modes, and the presence of significant non-linearities. The model of the blowing subsystem of a water-tube steam boiler was used as an object ofresearch. The training of the neural network controller (NMC) and neuroemulator (emulator) was carriedout on the ACS model with a PID controller using the method of expert adjustment of tuning coefficients:proportionality, constant integration and differentiation based on the analysis of the quality indicators ofthe transition process. The change in the values of the object model parameters along the control anddisturbance channels corresponded to the dynamic modes of operation of the steam boiler in the range ofsteam load (25-110%) from the nominal one. The analysis of transient processes obtained on the basis ofcomputer modeling allows us to assert that the trained neural network control system compensates fordisturbances over the entire range of changes in the values of the object parameters along the control anddisturbance channels (simulation of changes in the steam load), as well as when the parameter values ofthe models go beyond the range study sample. Thus, the neural network controller can successfully perform the functions of an adaptive circuit tuned tothe most unfavorable disturbances in the ACS of parallel action by a complex production facility. And theimplementation of a neural network system of parallel action together with typical regulators in thetechnological processes of heat energy can reduce emergency situations associated with frequent changesin the steam load of power units caused by military actions in our country.

Enhancing motor imagery practice using synchronous action observation

In this paper, we discuss a variety of ways in which practising motor actions by means of motor imagery (MI) can be enhanced via synchronous action observation (AO), that is, by AO + MI. We review the available research on the (mostly facilitatory) behavioural effects of AO + MI practice in the early stages of skill acquisition, discuss possible theoretical explanations, and consider several issues related to the choice and presentation schedules of suitable models. We then discuss considerations related to AO + MI practice at advanced skill levels, including expertise effects, practical recommendations such as focussing attention on specific aspects of the observed action, using just-ahead models, and possible effects of the perspective in which the observed action is presented. In section “Coordinative AO + MI”, we consider scenarios where the observer imagines performing an action that complements or responds to the observed action, as a promising and yet under-researched application of AO + MI training. In section “The dual action simulation hypothesis of AO + MI”, we review the neurocognitive hypothesis that AO + MI practice involves two parallel action simulations, and we consider opportunities for future research based on recent neuroimaging work on parallel motor representations. In section “AO + MI training in motor rehabilitation”, we review applications of AO, MI, and AO + MI training in the field of neurorehabilitation. Taken together, this evidence-based, exploratory review opens a variety of avenues for future research and applications of AO + MI practice, highlighting several clear advantages over the approaches of purely AO- or MI-based practice.

EXPANSION OF THE ZONE OF PRACTICAL APPLICATION OF PLC WITH PARALLEL ARCHITECTURE

The analysis of architecture is carried out and offers concerning expansion of a zone of practical application of PLC of parallel action are offered. The proposed methodology for constructing a logical control automaton of parallel action, the developed models, algorithm and structures represent a theoretical platform for the practical implementation of information technology for parallel logical control of railway automation objects.

The European Kidney Health Alliance (EKHA) and the Decade of the KidneyTM.

The European Kidney Health Alliance (EKHA) is an advocacy organization that defends the case of the kidney patients and the nephrological community at the level of the European Union (EU), and from there, top to bottom, also at the national level of the EU member states and the EU-associated countries. The Decade of the KidneyTM is a global initiative launched by the American Association of Kidney Patients (AAKP) to create greater awareness and organize patient demands for long overdue innovation in kidney care. This article describes the medical and patient burden of kidney disease, the history of EKHA, its major activities and tools for policy action, and the need for innovation of kidney care. We then describe the Decade of the KidneyTM initiative, the rationale behind why EKHA joined this activity to emanate parallel action at the European side, the novel professionalized structure of EKHA, and its immediate targets. The final aim is to align all major stakeholders for an action plan on kidney disease comparable to Europe's successful Beating Cancer Plan, with the additional intent that the EKHA model is applied also by the respective national kidney-related societies to create a broad mobilization at all levels. The ultimate aims are that the EU considers chronic kidney disease (CKD) as a major health and health-economic problem, to consequently have CKD included as a key health research target by the European Commission, and to improve quality of life and outcomes for all kidney patients.

Systemic analysis of a manufacturing process based on a small scale bakery.

The main aim of the article is to present two new innovative concepts of reliability of a functioning manufacturing system in the process of making bread in small-scale bakeries. Reliability is understood as one of the representations of an operator acting on specific streams in time to to t. One of these represents the global reliability of a system as a function of parallel action of all the streams of the system in time to to t and is denoted as Pg(t). The second representation of reliability is a scalar value, Pss It shows a new function of global reliability of a manufacturing process as a product of system stream reliability. In order to plot the flow of the manufacturing process’s global reliability function, we need to perform detailed calculations, computations, and analysis of the differences of individual values in real time, as well as plan an algorithm of the flow of system streams. This needs a lot of effort, translating however, to a detailed picture of the process. In the analysed example, measurements and research revealed an important increase of the value of reliability in a transition from a traditional to a robotised bakery. The article also presents a new concept of the reliability of a technological process, based on the analysis of relations of elements of the following streams: energy, matter, information, time, and finances. It shows the method of specifying streams and the method for defining the reliability of important and supportive relations. Important relations between stream elements are defined as having the reliability value of one in time. Supportive relations bear the reliability within a continuum between zero and one. Important relations are designated based on research, experience, and knowledge. Stream systemic reliability Pss is a scalar value, i.e. a number from the continuum between zero and one. The Pss value characterises failure-free operation of the whole system. Its average value in the normative time tn expresses the efficiency of the manufacturing system. The value Pss is a quotient of the number of important relation and the sum of important and supportive relations. The formula for Pss shows the method of optimising the process through the increasing of the number of important relations between the input stream components. The concept has been applied to study the efficiency of operation of a small-scale bakery. Systemic analysis of a bakery allows for important increase in the reliability of baking bread if robotisation has been implemented. The concept of systemic-stream reliability Pss may be applied to analyse the efficiency of any technological process and optimisation of any manufacturing process.

The role of provocative-deceptive actions in neutralizing the Belarusian opposition

The author analyzes the actions of the Belarusian authorities in the situation of the social rebellion triggered by the rigged elections in 2020. He puts forward a hypothesis that a significant role in extinguishing the protest potential was played by agent deception games conducted by the Belarusian KGB, as well as parallel repressive actions and the regime’s information offensive, which resulted in a synergy of propaganda and disinformation-agent activities.

THEORY OF QUASI-CATEGORIES AS A THEORETICAL BASE FOR THE CONSTRUCTION OF BRAIN LIKE COMPUTERS

The article gives a definition of the concept of a modified category and formulates the problem of developing a theory of modified categories that opens the way to building high-performance brain-like computers of parallel action. Analyzing the structure of the category, we discovered in it some abnormality, which gave rise to a correction of the classical category concept. Having developed such an adjustment, we received a modified category, which seems to be better for the theoretical construction starting point role of the parallel action brain-like computers basis creation. We characterize the classical category, after that we will realize its predicate interpretation. As a result, we obtain a predicate category one of the special cases of classical category. Any algebra, satisfying all the above requirements, will be regarded as an objectless classical category. It is possible to develop a theory of modified categories in parallel with the theory of classical categories. The theory of modified categories will prove to be an interesting object for theoretical research and an important tool for practical applications. It turns out that the diagrams of the theory of modified categories after their predicate interpretation coincide with the logical networks of brain-like computers. This gives us hope that the theory of modified categories will eventually become the theoretical basis for constructing of brain-like computers of parallel action.

Power quality and stability assessment of hybrid microgrid and electric vehicle through a novel transformation technique

In this study, a novel transformation technique based on combined AC and DC grid-based hybrid microgrid and electric vehicle operation is proposed to offer better power quality and power reliability operation. To produce constant wind speed, a novel wind speed generation method is proposed by using a 10 kW rating-based constant ventilation fan. Due to the suggested AC-DC hybrid microgrid approach, the conversion device requirement is reduced during the direct integration of EV and the battery energy storage device. In addition to that, an adequate centralized energy management control structure is proposed by combining wind power control, battery storage, and EV power control, and coordinated inverter control respectively, to offer excellent parallel action of numerous wind plants and inverters without needing extra voltage and frequency controller. Further, to reduce the computational burden, a novel transformation having the capability to handle both three-phase unbalanced voltage and current components is applied through a vector representation in a novel d′q′ revolving frame. The MATLAB/Simulink-based developed system undergoes different test system conditions as a failure of one inverter and sudden addition of wind plant during varying EV conditions and varying non-linear/unbalanced load demand at the shutdown conditions of wind power generation. From the simulated results, it is found that with the presence of 19.96% non-linear load, the improvement percentage of utility, top, and bottom inverter is 97–98%, 96–97%, and 99% respectively. In addition to that, the proposed transformation-based grid current results are compared with the traditional instantaneous power theory-based grid current results and found that significant harmonic percentage improvement results are achieved with the presence of the same non-linear load condition. Further, the proposed method takes minimum time i.e., only two to three cycles to settle the power fluctuation during transient conditions. As the above limits are well within the IEEE-1541 and IEEE 1547–2018 and offer faster settling time, then it can be suggested for real-microgrid test systems to achieve better power quality and reliability.

METHODOLOGICAL BASES OF A.S. MAKARENKO’S PEDAGOGY AND HUMANISTIC GUIDELINES OF MODERN EDUCATION

The article deals with the methodological sources and humanistic guidelines of modern education. The philosophical bases of A.S. Makarenko’s pedagogy and pedagogical ideas of G.V. Mohnenko are presented. New approaches to eliminating bad habits such as smoking, alcoholism and drug addiction are shown in modern conditions. The purpose of the study is to identify and systematize humanistic guidelines and dimensions, their meaning and prospects in modern education. In his colonies A.S. Makarenko organized a humanistic and democratic micro-society. One of his main pedagogical ideas was the education of the individual in the team and through the team. The young teacher tokk interest in philosophical works, literature, psychology, history and other sciences, in particular, the works by Bergson, Schopenhauer, Nietzsche and others. The idea of pedagogical expediency was successfully implemented in the practice of A.S. Makarenko, and is closely intertwined with the concept of "common sense" by Henri Bergson. The article considers the following principles of Makarenko's pedagogy: parallel action, i.e. influence on the personality through the team, reliance on positive in the pupil’s personality, perspective lines in the development of the team, "tomorrow's joy" and others. Nowadays, new societal challenges have emerged that require new approaches to education in the context of the spread of alcoholism, smoking and drug addiction. An important and interesting experience is the approaches of Gennady Viktorovich Mokhnenko, an innovative teacher, the founder and head of the largest children's rehabilitation center "Republic Pilgrim" and a network of rehabilitation centers for adults.

Speaking Stata: Loops in parallel

This column is a tutorial discussing looping in parallel using foreach and forvalues. Such looping may use not only local macros defined for the purpose but also other devices, including the gettoken command and ways to increment and decrement other macros and to evaluate other expressions.The main idea is that a set of loops in parallel is essentially one loop with two or more sets of parallel actions. Examples cover looping over integers with a required specific display format, generating new variables and defining variable labels at the same time, binning variables as desired, and putting skewness results in new variables. The last example includes some historical comments on the tangled literature on skewness measures using medians and quantiles.

Mathematical simulation of the processes of two-beam laser controlled thermal-splitting of quartz glass

The paper presents the results of modeling the processes of controlled thermal cracking of quartz glass under the parallel action of two infrared laser beams of different geometries on the material: with maximum intensity in the center and with zero intensity in the center (annular section). To calculate the temperature distribution in the material, the method of Green's functions was used, which allows us to obtain a well-interpreted solution for almost any type of function of surface heat sources. Further, taking into account the quasi-static approach, using the methods of the classical theory of thermoelasticity, thermoelastic microstresses were calculated, both on the surface and in the depth of the material. It is established that the simultaneous use of these two types of laser exposure makes it possible to control the temperature field more efficiently, and create prerequisites for the most stable formation of a microcrack. The simulation results show that with a bi-beam effect, the micromechanical stresses necessary for the formation of a microcrack are realized in shorter time intervals, both on the surface and in the depth of the material, which allows increasing the processing speed by up to 30 %. Strengthening control over the process of controlled thermal cracking can significantly reduce the percentage of defects and improve the quality of the resulting microeletronics products.

Detection and Segmentation of Mature Green Tomatoes Based on Mask R-CNN with Automatic Image Acquisition Approach.

Since the mature green tomatoes have color similar to branches and leaves, some are shaded by branches and leaves, and overlapped by other tomatoes, the accurate detection and location of these tomatoes is rather difficult. This paper proposes to use the Mask R-CNN algorithm for the detection and segmentation of mature green tomatoes. A mobile robot is designed to collect images round-the-clock and with different conditions in the whole greenhouse, thus, to make sure the captured dataset are not only objects with the interest of users. After the training process, RestNet50-FPN is selected as the backbone network. Then, the feature map is trained through the region proposal network to generate the region of interest (ROI), and the ROIAlign bilinear interpolation is used to calculate the target region, such that the corresponding region in the feature map is pooled to a fixed size based on the position coordinates of the preselection box. Finally, the detection and segmentation of mature green tomatoes is realized by the parallel actions of ROI target categories, bounding box regression and mask. When the Intersection over Union is equal to 0.5, the performance of the trained model is the best. The experimental results show that the F1-Score of bounding box and mask region all achieve 92.0%. The image acquisition processes are fully unobservable, without any user preselection, which are a highly heterogenic mix, the selected Mask R-CNN algorithm could also accurately detect mature green tomatoes. The performance of this proposed model in a real greenhouse harvesting environment is also evaluated, thus facilitating the direct application in a tomato harvesting robot.

Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots.

Collaborative robots are currently deployed in professional environments, in collaboration with professional human operators, helping to strike the right balance between mechanization and manual intervention in manufacturing processes required by Industry 4.0. In this paper, the contribution of gesture recognition and pose estimation to the smooth introduction of cobots into an industrial assembly line is described, with a view to performing actions in parallel with the human operators and enabling interaction between them. The proposed active vision system uses two RGB-D cameras that record different points of view of gestures and poses of the operator, to build an external perception layer for the robot that facilitates spatiotemporal adaptation, in accordance with the human's behavior. The use-case of this work is concerned with LCD TV assembly of an appliance manufacturer, comprising of two parts. The first part of the above-mentioned operation is assigned to a robot, strengthening the assembly line. The second part is assigned to a human operator. Gesture recognition, pose estimation, physical interaction, and sonic notification, create a multimodal human-robot interaction system. Five experiments are performed, to test if gesture recognition and pose estimation can reduce the cycle time and range of motion of the operator, respectively. Physical interaction is achieved using the force sensor of the cobot. Pose estimation through a skeleton-tracking algorithm provides the cobot with human pose information and makes it spatially adjustable. Sonic notification is added for the case of unexpected incidents. A real-time gesture recognition module is implemented through a Deep Learning architecture consisting of Convolutional layers, trained in an egocentric view and reducing the cycle time of the routine by almost 20%. This constitutes an added value in this work, as it affords the potential of recognizing gestures independently of the anthropometric characteristics and the background. Common metrics derived from the literature are used for the evaluation of the proposed system. The percentage of spatial adaptation of the cobot is proposed as a new KPI for a collaborative system and the opinion of the human operator is measured through a questionnaire that concerns the various affective states of the operator during the collaboration.

Transformation by Method of Sanation – Unregulated Residential Settlements of Sarajevo

In the second half of the 20th century, the industrialisation and deagrarization of Bosnia and Herzegovina had a strong impact on the dynamics of urban development and economic growth of the post-war Sarajevo, which intensified immigration from its relatively underdeveloped regional environment. This was accompanied by accelerated housing construction, and it encouraged the spatial expansion of the city. Planning guidelines were set by the city administration and were based on the long-term development plans. They identified the disposition of urban functions necessary for housing, work, recreation and traffic, and the policy of building multi-residential buildings was aimed general social interest. At the same time, the planning activities neglected the actual socio-economic status of immigrants who had lesser opportunities for housing through the social distribution system of apartments, began the process of self-organized unregulated settlement construction with single-family houses on the city's slopes. This began an era of two parallel but controversial actions within town space: planned and unregulated housing construction. Spontaneous possession of the city's territory with unregulated construction today is characterised by: complex property-legal relations, high degree of construction, absence of public space, pedestrian communications and service functions, low quality of the infrastructure network, and that settlements are formed on unstable terrains and on active landslides. Since the consequences of the complexity of the situation cannot be addressed through radical urban transformation, we see an alternative in the idea of partial spatial interventions – transformation by method of sanation. Starting with the thesis that construction is always deeply connected to society's understanding of the function of space and the place of man in it, we have opened up a central question, and searching for answers is the basic goal of this paper: Is it possible to solve problems accumulated by decades within Sarajevo's unregulated residential settlements through means of transformation by method of sanation? Or: Can partial spatial interventions improve the overall quality of individual and social life? For the purpose of finding answers, we conducted an analysis of the causes of the formation and genesis of these settlements, as well as a series of problems produced by the accumulation of separate spatial interventions without elementary professional guidance. The results of this analysis showed that the answer to the questions asked can be positive, by establishing a critical relationship with the potential of the space of specific settlement sites, in terms of the degree of functional usability, correlation with utilities and user interactions with the environments they inhabit. We have concluded that it is precisely the potential of individual sites, by logically applying the transformation by method of sanation, will enable dual achievement – the merging the solution within the technical and structural aspect of potential landslides with the articulation of the public on new pedestrian communications. Also, it has been shown that the application of this method enables the typification of technical solutions, functions, contents, activities, urban design, and even the public itself. And this means that the conclusions on the characteristics of individual Sarajevo unregulated residential settlements, endangered by landslides, can offer general guidelines for design concepts, within them, an overall improvement of individual and social life.