Joint Action Research Articles

Molecular insights into vibration-induced phase change dynamics of low-boiling-point refrigerant

Vibration-induced evaporation and boiling has attracted great attention due to its prominent efficiency. However, the understanding of low-boiling-point refrigerant phase change on various vibration and wettability conditions remains to be investigated. In this study, molecular dynamics simulations are performed to explore the vibration-induced phase change performance of R1336mzz(Z) nanofilm over a copper substrate. Results found that the phase change mode of R1336mzz(Z) nanofilm can be divided into diffusive evaporation, nucleate boiling, and film boiling/cavitation. For one thing, the residual ratio of R1336mzz(Z) molecules lies on the vibrational amplitude (A) and frequency (f), with a linear relation to Af3/2 when Af3/2 is less than 150. For another, the molecular motion is originated from joint action of thermal momentum and mechanical tensioning, leading to film boiling or cavitation by tunning the predominant mechanism. In addition, the impacts of interfacial wettability on vibration-induced phase change are discussed in terms of the heat transfer ability and potential barrier for bubble nucleation. Results reveal that hydrophilic surface causes strong attraction at near-wall region to increase heat transfer, while hydrophobic surface shows weak potential barrier, which promotes the occurrence of bubble nucleation. These findings deliver insights to broad the use of high-frequency vibration in industrial applications.

Electronically Controlled Broadband Terahertz Amplitude Modulator Based on Ionic Liquid/PEDOT:PSS:DMSO Composite Structure

Electronically controlled modulation devices operating in the terahertz (THz) band offer a crucial foundation for the integration and minimization of THz systems. In this work, we offer a broadband THz amplitude modulator that can be electrically controlled. The modulator is based on a composite structure made of ionic liquid and polymer mixture poly (3-ethoxythiophenyl): poly (4-phenylsulfonate) (PEDOT: PSS: DMSO). By applying merely +4 V excitation and -4 V turn-off voltage, a 40% amplitude modulation depth may be produced in the frequency region of 0.1-1.5 THz due to the joint action of electrons in the polymer and ions in the ionic liquid. The measurement of the resistance change of the polymer surface provides an explanation and confirmation of the mechanism of polymer action in this occurrence. This work provides a material selection for a simple preparation, inexpensive, and effective modulation of THz amplitude for an ionic liquid gate electronic controlled THz modulator. It is also expected that this work can be helpful for the miniaturization and integration development of THz modulators.

Evaluation study of the urban governance of the COVID-19 crisis in the city of Antwerp

BackgroundThe COVID-19 pandemic has demanded crisis management at all governance levels. While most research has focused on responses of national governments, city-level governance had significant potential to develop tailored approaches. This study explored how the local COVID-19 response was organised and adapted to the specific city population and context in the City of Antwerp, Belgium.MethodsA case study using semi-structured interviews was set up with 20 key informants with a central role in the coordination and implementation of the city-level COVID-19 response in Antwerp. Thematic analysis of transcripts was guided by an adapted version of the OECD risk management cycle.ResultsRespondents’ accounts provide a granular understanding of pandemic preparedness, crisis management, and response and adaptation to the COVID-19 crisis in a mid-size European city. Its size was large enough to have a strong capacity within its government bodies, to utilise the expertise of strong partners in the area and to mobilise a critical mass for action, yet small enough to quickly establish connections and trust. In addition to a universal approach, they developed tailored responses to specific neighbourhoods and groups. Well-established community and organisational ties enhanced the effectiveness of grassroots initiatives. The perceived feeling of joint action contributed to a strong collective agency, but respondents noted the need for a system for monitoring and learning.ConclusionsLocal governments are important to develop tailored strategies and organise a locally relevant crisis response in cities. They need expertise and agency, with enough flexibility to experiment. To harness promising practices and avoid repeating errors in future crises, it is crucial to develop a system that better evaluates and monitors local responses, before, during and after crises.

The influence of adjustable ring-mode laser on the formation of intermetallic compounds and mechanical properties of ultra-thin Al-Cu lap welded joints

Aluminum-copper dissimilar welding is a highly demanded connection process; however, welding defects and the excessive growth of intermetallic compounds (IMCs) cause pose challenges for its application. This study uses an adjustable ring-mode (ARM) laser technology to achieve lap welding of ultra-thin Al-Cu plates. Lap-welding experiments were conducted using three laser modes—fixed core power, fixed ring power, and varying welding speed—to investigate the evolution of material mixing, intermetallic compound distribution, and joint strength under different modes. Our results indicate that the high energy density of the core laser is beneficial for increasing the penetration depths of joints, whereas the large action area of the ring laser is beneficial for improving the stabilities of melt pools. The joint action of the adjustable ring-mode (ARM) laser increased the melting width and depth of the joint, and the mixing of Al and Cu was controlled in the Al-Cu mixed zone at the upper part of the weld, to limit element mixing in the Cu-rich zone of the weld interface and suppress the distribution of intermetallic compounds. In addition, the ring laser induced the aluminum in the upper part of the molten pool to invade from both sides of the interface to the bottom, forming a certain Al invasion depth. This limited the accumulation of intermetallic compounds at the interface, optimized the path of shear fracture propagation, and improved the shear strength of the joint. This study provides a research basis for further exploring the material flow mechanism and optimizing the intermetallic compound distribution during the Al-Cu adjustable ring-mode (ARM) laser dissimilar welding process.

Attitude Dynamics of Small Magnetic Axisymmetric Satellites in Near-Equatorial Low Earth Orbits/Very Low Earth Orbits

This study deals with the attitude motion of small magnetic axisymmetric satellites in near-equatorial circular low Earth orbits/very low Earth orbits subjected to the joint action of the environmental torques, namely, aerodynamic, gravitational, and magnetic. It is shown that if the satellite has only a longitudinal component of the intrinsic magnetic moment, it is convenient to separate the attitude motion into the unperturbed motion and the perturbations from the nonpotential components of the considered torques. The bifurcation analysis of the critical points of the unperturbed dynamic potential demonstrates the influence of the main system parameters on their existence and stability and provides an intuitive understanding of the possible regimes of attitude motion. Numerical simulations show that, in addition to regular attitude motion of the considered satellites, chaotic regimes are also possible.

Jet slipping mechanism and fabricating of composite fiber by multiple field coupling

AbstractThe rotary jet spinning process involves the joint action of centrifugal force, gravity, temperature, humidity, and flow fields on the spinning solution. The solution is ejected through the nozzle after flowing from the storage container and stretched in the air to form a composite fiber. At present, the investigation of rotary jet composite spinning primarily focused on the dynamics and kinematics of the spinning solution and jet within the container. However, there is still a lack of comprehensive exploration into the motion and slip phenomena exhibited by the composite spinning solution in air. This article investigates the slip phenomenon between the polymer and the gas contact surface after the spinning solution leaves the spinneret aperture. A slip model is established to analyze the motion and force of the polymer in air. Meanwhile, a mathematical model for the evaporation rate of composite spinning solution motion under the influence of multi‐field coupling is established through theoretical analysis. A numerical simulation of the rotary jet spinning process was conducted to obtain clouds of jet exit velocity. The morphology of composite fibers produced by rotary jet spinning was analyzed using scanning electron microscopy, enabling a comparison of diameter distribution and surface quality under different environmental and equipment parameters. This study provides a certain reference for the preparation of high‐quality composite fibers.

Learning Multi-Agent Cooperation via Considering Actions of Teammates.

Recently value-based centralized training with decentralized execution (CTDE) multi-agent reinforcement learning (MARL) methods have achieved excellent performance in cooperative tasks. However, the most representative method among these methods, Q-network MIXing (QMIX), restricts the joint action Q values to be a monotonic mixing of each agent's utilities. Furthermore, current methods cannot generalize to unseen environments or different agent configurations, which is known as ad hoc team play situation. In this work, we propose a novel Q values decomposition that considers both the return of an agent acting on its own and cooperating with other observable agents to address the nonmonotonic problem. Based on the decomposition, we propose a greedy action searching method that can improve exploration and is not affected by changes in observable agents or changes in the order of agents' actions. In this way, our method can adapt to ad hoc team play situation. Furthermore, we utilize an auxiliary loss related to environmental cognition consistency and a modified prioritized experience replay (PER) buffer to assist training. Our extensive experimental results show that our method achieves significant performance improvements in both challenging monotonic and nonmonotonic domains, and can handle the ad hoc team play situation perfectly.

What does it mean for a duty to be directed in joint action?

It is often stated that joint actions are linked to so-called directed duties. It is not just that we should “do our part” in a joint action simply because it is the right thing to do or because it is in our best interest. Instead, we “owe” it to the other participants. Despite its prima facie plausibility, this claim is not well understood. Is it true that duties in joint action are directed? Which notion of directedness is relevant to understanding the normativity of joint action? I first argue that we can characterize the notion of directed duties in joint action in terms of a network of inferentially related normative relations and practices. I apply this analysis to show that duties in joint action are directed. This analysis supports the view that the normativity in joint action is special as it involves what Stephen Darwall calls “individual authority” without entailing “representative authority”. A perhaps surprising conclusion derived from this account is that actions in joint action are owed to everyone involved in the group equally. This supports Margaret Gilbert’s joint commitment account of joint intention.

Joint action of phase mixing and nonlinear effects in MHD waves propagating in coronal loops

Context. The evolution of Alfvén waves in cylindrical magnetic flux tubes, which represent a basic model for loops observed in the solar corona, can be affected by phase mixing and turbulent cascade. Phase mixing results from transverse inhomogeneities in the Alfvén speed, causing different shells of the flux tube to oscillate at different frequencies, thus forming increasingly smaller spatial scales in the direction perpendicular to the guide field. Turbulent cascade also contributes to the dissipation of the bulk energy of the waves through the generation of smaller spatial scales. Both processes present characteristic timescales. Different regimes can be envisaged according to how those timescales are related and to the typical timescale at which dissipation is at work. Aims. We investigate the interplay of phase mixing and the nonlinear turbulent cascade in the evolution and dissipation of Alfvén waves using compressible magnetohydrodynamic numerical simulations. We consider perturbations in the form of torsional waves, both propagating and standing, or turbulent fluctuations, or a combination of the two. The main purpose is to study how phase mixing and nonlinear couplings jointly work to produce small scales in different regimes. Methods. We conducted a numerical campaign to explore the typical parameters, such as the loop length, the amplitude and spatial profile of the perturbations, and the dissipative coefficients. A pseudo-spectral code was employed to solve the three-dimensional compressible magnetohydrodynamic equations, modeling the evolution of perturbations propagating in a flux tube corresponding to an equilibrium configuration with cylindrical symmetry. Results. We find that phase mixing takes place for moderate amplitudes of the turbulent component even in a distorted, nonaxisymmetric configuration, building small scales that are locally transverse to the density gradient. The dissipative time decreases with increasing the percentage of the turbulent component. This behavior is verified both for propagating and standing waves. Even in the fully turbulent case, a mechanism qualitatively similar to phase mixing occurs: it actively generates small scales together with the nonlinear cascade, thus providing the shortest dissipative time. General considerations are given to identify this regime in the parameter space. The turbulent perturbation also distorts the background density, locally increasing the Alfvén velocity gradient and further contributing to accelerating the formation of small scales. Conclusions. Our campaign of simulations is relevant for the coronal plasma where Reynolds and Lundquist numbers are extremely high. For sufficiently low perturbation amplitudes, phase mixing and turbulence work synergically, speeding up the dissipation of the perturbation energy: phase mixing dominates at early times and nonlinear effects at later times. We find that the dissipative time is shorter than those of phase mixing and the nonlinear cascade when individually considered.

Getting ready for the European Health Data Space (EHDS): IDERHA's plan to align with the latest EHDS requirements for the secondary use of health data.

The European Health Data Space (EHDS) shapes the digital transformation of healthcare in Europe. The EHDS regulation will also accelerate the use of health data for research, innovation, policy-making, and regulatory activities for secondary use of data (known as EHDS2). The Integration of heterogeneous Data and Evidence towards Regulatory and HTA Acceptance (IDERHA) project builds one of the first pan-European health data spaces in alignment with the EHDS2 requirements, addressing lung cancer as a pilot. In this study, we conducted a comprehensive review of the EHDS regulation, technical requirements for EHDS2, and related projects. We also explored the results of the Joint Action Towards the European Health Data Space (TEHDAS) to identify the framework of IDERHA's alignment with EHDS2. We also conducted an internal webinar and an external workshop with EHDS experts to share expertise on the EHDS requirements and challenges. We identified the lessons learned from the existing projects and the minimum-set of requirements for aligning IDERHA infrastructure with EHDS2, including user journey, concepts, terminologies, and standards. The IDERHA framework (i.e., platform architecture, standardization approaches, documentation, etc.) is being developed accordingly. The IDERHA's alignment plan with EHDS2 necessitates the implementation of three categories of standardization for: data discoverability: Data Catalog Vocabulary (DCAT-AP), enabling semantics interoperability: Observational Medical Outcomes Partnership (OMOP), and health data exchange (DICOM and FHIR). The main challenge is that some standards are still being refined, e.g., the extension of the DCAT-AP (HealthDCAT-AP). Additionally, extensions to the Observational Health Data Sciences and Informatics (OHDSI) OMOP Common Data Model (CDM) to represent the patient-generated health data are still needed. Finally, proper mapping between standards (FHIR/OMOP) is a prerequisite for proper data exchange. The IDERHA's plan and our collaboration with other EHDS initiatives/projects are critical in advancing the implementation of EHDS2.

AOP-based framework for predicting the joint action mode of di-(2-ethylhexyl) phthalate and bisphenol A co-exposure on autism spectrum disorder

Autism spectrum disorder (ASD), also known as autism, is a common, highly hereditary and heterogeneous neurodevelopmental disorder. The global prevalence of ASD among children continues to rise significantly, which is partially attributed to environmental pollution. It has been reported that pre- or post-natal exposure to di-(2-ethylhexyl) phthalate (DEHP) or bisphenol A (BPA), two prevalent environmental endocrine disruptors, increases the risk of ASD in offspring. Yet, the joint action mode linking DEHP and BPA with ASD is incompletely understood. This study aims to unravel the joint action mode of DEHP and BPA co-exposure on the development of ASD. An adverse outcome pathway (AOP) framework was employed to integrate data from multiple public database and construct chemical-gene-phenotype-disease networks (CGPDN) for DEHP- and BPA-related ASD. Topological analysis and comprehensive literature exploration of the CGPDN were performed to build the AOP. By analysis of shared key events (KEs) or phenotypes within the AOP or the CGPDN, we uncovered two AOPs, decreased N-methyl-D-aspartate receptor (NMDAR) and estrogen antagonism that were likely linked to ASD, both with moderate confidence. Our analysis further predicted that the joint action mode of DEHP and BPA related ASD was possibly an additive or synergistic action. Thus, we propose that the co-exposure to BPA and DEHP perhaps additively or synergistically increases the risk of ASD.

On the completely irregular set of maps with the shadowing property

We prove that the completely irregular set is Baire generic for every non-uniquely ergodic transitive continuous map which satisfies the shadowing property and acts on a compact metric space without isolated points. We also show that, under the previous assumptions, the orbit of every completely irregular point is dense. Afterwards, we analyze the connection between transitivity and the shadowing property, draw a few consequences of their joint action within the family of expansive homeomorphisms, and discuss several examples to test the scope of our results.

Mediatized governance in environmental disasters: self-organizing community rescue through collaborative online documents

The frequency of risks and disasters in contemporary society has created new challenges for rescue governance. Through content analysis and participant observation, this study examined the development of an online collaborative and self-organizing community during the 2021 rainstorm rescue effort in Zhengzhou, China. The study shows that this community provided and optimized major public goods and services, adapted rescue resources to victim needs, facilitated streamlined information transfer, protected privacy, and connected a multitude of actors. The findings illustrate the significance of a new mode of mediatized governance that emphasizes the continuous process of reconciling conflicting interests and encouraging joint action among multiple actors, thereby realizing a flexible and efficient rescue that could not have been achieved by a top-down government-led administration.

Infrared Lightwave Memory-Resident Manipulation and Absorption Based on Spatial Electromagnetic Wavefield Excitation and Resonant Accumulation by GdFe-Based Nanocavity-Shaped Metasurfaces.

An arrayed nanocavity-shaped architecture consisting of the key GdFe film and SiO2 dielectric layer is constructed, leading to an efficient infrared (IR) absorption metasurface. By carefully designing and optimizing the film system configuration and the surface layout with needed geometry, a desirable IR radiation absorption according to the spatial magnetic plasmon modes is realized experimentally. The simulations and measurements demonstrate that GdFe-based nanocavity-shaped metasurfaces can be used to achieve an average IR absorption of ~81% in a wide wavelength range of 3-14 μm. A type of the patterned GdFe-based nanocavity-shaped metasurface is further proposed for exciting relatively strong spatial electromagnetic wavefields confined by a patterned nanocavity array based on the joint action of the surface oscillated net charges over the charged metallic films and the surface conductive currents including equivalent eddy currents surrounding the layered GdFe and SiO2 materials. Intensive IR absorption can be attributed to a spatial electromagnetic wavefield excitation and resonant accumulation or memory residence according to the GdFe-based nanocavity-shaped array formed. Our research provides a potential clue for efficiently responding and manipulating and storing incident IR radiation mainly based on the excitation and resonant accumulation of spatial magnetic plasmons.

Southern creative robotics – A collaborative framework to implement computational design, fabrication and robotics

Scientific knowledge, ideally neutral and impartial, is inevitably shaped by geographical, economic, and cultural contexts. This research contends that overcoming the constraints of human and economic scarcity, inertia, and limited funding access demands development of collaborative research networks. To this end, four university laboratories from Brazil and Chile - UFRJ, UBB, UTFSM and UAI - have united to advance robotics applied to architecture. The methodology begins with an analysis of Industry 4.0, Fab Lab implementations, and robotics in architecture in the region. They identify key research aspects by mapping each laboratory’s activities and technologies to pinpoint expertise and potential collaborative areas. The authors propose a summary table comparing the labs and a chronological overview to track regional robotics advancement. To raise awareness among peers, the initiative involves joint actions such as courses, workshops and technical visits. 1 Recognising the scarcity of robotic units and the inapplicability of procedures from wealthier contexts, the authors draw on their lab experience to propose guidelines for implementing robotics research units in academia within the region. This includes technological alternatives, installation considerations, and detailed configuration reviews. The deployment of additional robotic units is a means to foster collaboration and bolster the network. Anticipated outcomes encompass increased critical mass, collaborative research initiatives, faculty and student exchange across institutions, higher publication rates, knowledge acquisition, and improved access to global funding agencies. In summary, the Southern Creative Robotics network initiative aims to catalyse the creative integration of digital manufacturing and robotics technology within design in the Ibero-American context.

Gaze detection as a social cue to initiate natural human-robot collaboration in an assembly task.

Introduction: In this work we explore a potential approach to improve human-robot collaboration experience by adapting cobot behavior based on natural cues from the operator. Methods: Inspired by the literature on human-human interactions, we conducted a wizard-of-oz study to examine whether a gaze towards the cobot can serve as a trigger for initiating joint activities in collaborative sessions. In this study, 37 participants engaged in an assembly task while their gaze behavior was analyzed. We employed a gaze-based attention recognition model to identify when the participants look at the cobot. Results: Our results indicate that in most cases (83.74%), the joint activity is preceded by a gaze towards the cobot. Furthermore, during the entire assembly cycle, the participants tend to look at the cobot mostly around the time of the joint activity. Given the above results, a fully integrated system triggering joint action only when the gaze is directed towards the cobot was piloted with 10 volunteers, of which one characterized by high-functioning Autism Spectrum Disorder. Even though they had never interacted with the robot and did not know about the gaze-based triggering system, most of them successfully collaborated with the cobot and reported a smooth and natural interaction experience. Discussion: To the best of our knowledge, this is the first study to analyze the natural gaze behavior of participants working on a joint activity with a robot during a collaborative assembly task and to attempt the full integration of an automated gaze-based triggering system.

Social Processes of Public Sector Collaborations in Kenya: Unpacking Challenges of Realising Joint Actions in Public Administration

AbstractSocial processes behind the success or failure of collaborative implementation frameworks in African public administration contexts are under-researched. This paper addresses this gap by paying particular attention to trust attributes in collaborative implementation arrangements in Kenya. It shows how implementation challenges of policy programs and interventions may be linked to these interventions’ social characteristics in the public sector. The paper draws on a threefold approach of mutual trust and administrative data on public sector collaborative implementation arrangements for Kenyan anti-corruption policy like the Kenya Leadership Integrity Forum. Findings show that despite increased efforts to realise joint actions in public sector collaborative arrangements, they remain primarily symbolic and hierarchical and feature loose social cohesion among actors, producing challenges bordering on deficiencies in social processes of implementation. These include politicised aloofness or lack of commitment, unclear governance structures, coordination deficiencies, inter-agency conflicts, layered fragmentations, and overlapping competencies among different agencies. The paper recommends identifying and nurturing socially sensitive strategies embedded in mutual trust, like informal knowledge-sharing channels, to address primarily mandated public sector collaboration challenges in Kenya. Such efforts should consider systematic training and incentivising public managers to think outside inward-looking organisational cultures, allowing them to devise sustainable collaborative implementation approaches (promote open innovation) for policy programs, particularly anti-corruption policy.

Blackbody‐Sensitive Uncooled Infrared Detector with Ultra‐Broadband and Ultrafast Photoresponse Based on Te/WTe2 Heterostructure

AbstractBlackbody‐sensitive uncooled infrared photodetectors with ultra‐broadband and ultrafast photoresponse have a profound impact on many areas of modern science and technology. However, it is a big challenge for both traditional photodetectors and emerging low‐dimensional ones to simultaneously have all the above characteristics. Here, this challenge is addressed by establishing a Te/WTe2 heterostructure photodetector. The built‐in field of the heterostructure and the crossing conduction and valence bands of WTe2 jointly result in a high responsivity and a visible‐to‐long‐wavelength‐infrared photoresponse range. The peak responsivity (at the 3.3 µm wavelength) reaches 914 mA W−1 at zero bias and 8.51 A W−1 at 2 V bias. Further, the joint action coupled with the high mobility of Te and WTe2 promotes the 3‐dB bandwidth to 153 kHz. The self‐powered blackbody responsivity and specific detectivity reach 235.7 mA W−1 and 1.1 × 108 cm Hz1/2 W−1, respectively. The former increases to 5.82 A W−1 at 1 V bias. Moreover, this device is polarization‐sensitive with a contrast ratio of 2. This work reveals the potential of the Te/WTe2 heterostructure for high‐performance room‐temperature infrared photodetectors.

A Deep-Learning-Based Algorithm for Landslide Detection over Wide Areas Using InSAR Images Considering Topographic Features.

The joint action of human activities and environmental changes contributes to the frequent occurrence of landslide, causing major hazards. Using Interferometric Synthetic Aperture Radar (InSAR) technique enables the detailed detection of surface deformation, facilitating early landslide detection. The growing availability of SAR data and the development of artificial intelligence have spurred the integration of deep learning methods with InSAR for intelligent geological identification. However, existing studies using deep learning methods to detect landslides in InSAR deformation often rely on single InSAR data, which leads to the presence of other types of geological hazards in the identification results and limits the accuracy of landslide identification. Landslides are affected by many factors, especially topographic features. To enhance the accuracy of landslide identification, this study improves the existing geological hazard detection model and proposes a multi-source data fusion network termed MSFD-Net. MSFD-Net employs a pseudo-Siamese network without weight sharing, enabling the extraction of texture features from the wrapped deformation data and topographic features from topographic data, which are then fused in higher-level feature layers. We conducted comparative experiments on different networks and ablation experiments, and the results show that the proposed method achieved the best performance. We applied our method to the middle and upper reaches of the Yellow River in eastern Qinghai Province, China, and obtained deformation rates using Sentinel-1 SAR data from 2018 to 2020 in the region, ultimately identifying 254 landslides. Quantitative evaluations reveal that most detected landslides in the study area occurred at an elevation of 2500-3700 m with slope angles of 10-30°. The proposed landslide detection algorithm holds significant promise for quickly and accurately detecting wide-area landslides, facilitating timely preventive and control measures.

Analysis of the work of nursing staff in the burn unit

The development of new, scientifically based approaches, improvement of existing ones for the organization of treatment and nursing of patients with extensive and deep burns is one of the most important tasks of medicine. The recovery process of burn patients ultimately depends on how coordinated and professional the joint actions of doctors and nurses will be. Target. To analyze the work of the nursing staff of the burn department in order to identify problems in the organization of nursing practice and their prevention in the future. Results. Weaknesses in the organization of nursing practice in the burn department were studied, analyzed and identified, which made it possible to introduce the Nursing Observation Sheet for a Burn Patient and bring it into line with the standard Protocol for the Management of a Burn Patient. Conclusion. The analysis of the assessment of the provision of nursing care to patients with burn injuries revealed the absence of the necessary standard operating procedures (SOP). Currently, only the SOP developed in accordance with the document «Protocol for the Management of a Patient. Bedsores» is in effect.