Complex Organization Research Articles

The Effect of Medical Managers Accountability To Managerial Performance: The Role Of Commitment As Mediating Variable

Research Objective: This research aims to test the felt accountability of medical managers who have a hybrid role in improving managerial performance, through commitment as a mediating variable. Method/approach: This research is survey research using questionnaires distributed directly to respondents. The data obtained consisted of 460 medical manager respondents from Community Health Centers (Puskesmas) and Pratama Clinics. Sampling used purposive sampling technique. Data analysis was carried out using structural equation models. Results: The research results show that medical managers who have a sense of accountability or responsibility for their managerial work will be more motivated to improve managerial performance through their commitment. Practice implications: Its importance for complex organizations such as Healthcare. Specifically, this research offers insight into organizational support for hybrid identity constructs, such as a doctor taking on the role of medical manager. Originality/novelty: Research on felt accountability is still rarely carried out, especially in developing countries like Indonesia.

Unraveling the three-dimensional (3D) genome architecture in Neurodevelopmental Disorders (NDDs).

The human genome, comprising millions of pairs of bases, serves as the blueprint of life, encoding instructions for cellular processes. However, genomes are not merely linear sequences; rather, the complex of DNA and histones, known as chromatin, exhibits complex organization across various levels, which profoundly influence gene expression and cellular function. Central to understanding genome organization is the emerging field of three-dimensional (3D) genome studies. Utilizing advanced techniques such as Hi-C, researchers have unveiled non-random dispositions of genomic elements, highlighting their importance in transcriptional regulation and disease mechanisms. Topologically Associating Domains (TADs), that demarcate regions of chromatin with preferential internal interactions, play crucial roles in gene regulation and are increasingly implicated in various diseases such as cancer and schizophrenia. However, their role in Neurodevelopmental Disorders (NDDs) remains poorly understood. Here, we focus on TADs and 3D conservation across the evolution and between cell types in NDDs. The investigation into genome organization and its impact on disease has led to significant breakthroughs in understanding NDDs etiology such ASD (Autism Spectrum Disorder). By elucidating the wide spectrum of ASD manifestations, researchers aim to uncover the underlying genetic and epigenetic factors contributing to its heterogeneity. Moreover, studies linking TAD disruption to NDDs underscore the importance of spatial genome organization in maintaining proper brain development and function. In summary, this review highlights the intricate interplay between genome organization, transcriptional control, and disease pathology, shedding light on fundamental biological processes and offering insights into the mechanisms underlying NDDs like ASD.

The structure of the Lujo virus spike complex

Lujo virus (LUJV) is a human pathogen that was the cause of a deadly hemorrhagic fever outbreak in Africa. LUJV is a divergent member of the Arenaviridae with some similarities to both the “Old World” and “New World” serogroups, but it uses a cell-entry receptor, neuropilin-2 (NRP2), that is distinct from the receptors of OW and NW viruses. Though the receptor binding domain of LUJV has been characterized structurally, the overall organization of the trimeric spike complex and how NRP2 is recognized in this context were unknown. Here, we present the structure of the membrane-embedded LUJV spike complex determined by cryo-electron microscopy. Analysis of the structure suggested that a single NRP2 molecule is bound at the apex of the trimeric spike and that multiple subunits of the trimer contact the receptor. The binding of NRP2 involves an intriguing arginine-methionine interaction, which we analyzed using quantum mechanical modeling methods. We compare the LUJV spike structure with the only other available structure of a complete arenaviral spike, which is the Lassa virus. The similarities and differences between them shed light on Arenavirus evolution, inform vaccine design, and provide information that will be useful in combating future Arenavirus outbreaks.

Altered assembly paths mitigate interference among paralogous complexes

Protein complexes are fundamental to all cellular processes, so understanding their evolutionary history and assembly processes is important. Gene duplication followed by divergence is considered a primary mechanism for diversifying protein complexes. Nonetheless, to what extent assembly of present-day paralogous complexes has been constrained by their long evolutionary pathways and how cross-complex interference is avoided remain unanswered questions. Subunits of protein complexes are often stabilized upon complex formation, whereas unincorporated subunits are degraded. How such cooperative stability influences protein complex assembly also remains unclear. Here, we demonstrate that subcomplexes determined by cooperative stabilization interactions serve as building blocks for protein complex assembly. We further develop a protein stability-guided method to compare the assembly processes of paralogous complexes in cellulo. Our findings support that oligomeric state and the structural organization of paralogous complexes can be maintained even if their assembly processes are rearranged. Our results indicate that divergent assembly processes by paralogous complexes not only enable the complexes to evolve new functions, but also reinforce their segregation by establishing incompatibility against deleterious hybrid assemblies.

Complexity organization of resting-state functional-MRI networks.

Entropy measures are increasingly being used to analyze the structure of neural activity observed by functional magnetic resonance imaging (fMRI), with resting-state networks (RSNs) being of interest for their reproducible descriptions of the brain's functional architecture. Temporal correlations have shown a dichotomy among these networks: those that engage with the environment, known as extrinsic, which include the visual and sensorimotor networks; and those associated with executive control and self-referencing, known as intrinsic, which include the default mode network and the frontoparietal control network. While these inter-voxel temporal correlations enable the assessment of synchrony among the components of individual networks, entropic measures introduce an intra-voxel assessment that quantifies signal features encoded within each blood oxygen level-dependent (BOLD) time series. As a result, this framework offers insights into comprehending the representation and processing of information within fMRI signals. Multiscale entropy (MSE) has been proposed as a useful measure for characterizing the entropy of neural activity across different temporal scales. This measure of temporal entropy in BOLD data is dependent on the length of the time series; thus, high-quality data with fine-grained temporal resolution and a sufficient number of time frames is needed to improve entropy precision. We apply MSE to the Midnight Scan Club, a highly sampled and well-characterized publicly available dataset, to analyze the entropy distribution of RSNs and evaluate its ability to distinguish between different functional networks. Entropy profiles are compared across temporal scales and RSNs. Our results have shown that the spatial distribution of entropy at infra-slow frequencies (0.005-0.1 Hz) reproduces known parcellations of RSNs. We found a complexity hierarchy between intrinsic and extrinsic RSNs, with intrinsic networks robustly exhibiting higher entropy than extrinsic networks. Finally, we found new evidence that the topography of entropy in the posterior cerebellum exhibits high levels of entropy comparable to that of intrinsic RSNs.

Methodological considerations on diffusion MRI tractography in infants aged 0-2 years: a scoping review.

Diffusion MRI (dMRI) enables studying the complex architectural organization of the brain's white matter (WM) through virtual reconstruction of WM fiber tracts (tractography). Despite the anticipated clinical importance of applying tractography to study structural connectivity and tract development during the critical period of rapid infant brain maturation, detailed descriptions on how to approach tractography in young infants are limited. Over the past two decades, tractography from infant dMRI has mainly been applied in research settings and focused on diffusion tensor imaging (DTI). Only few studies used techniques superior to DTI in terms of disentangling information on the brain's organizational complexity, including crossing fibers. While more advanced techniques may enhance our understanding of the intricate processes of normal and abnormal brain development and extensive knowledge has been gained from application on adult scans, their applicability in infants has remained underexplored. This may partially be due to the higher technical requirements versus the need to limit scan time in young infants. We review various previously described methodological practices for tractography in the infant brain (0-2 years-of-age) and provide recommendations to optimize advanced tractography approaches to enable more accurate reconstructions of the brain WM's complexity. IMPACT: Diffusion tensor imaging is the technique most frequently used for fiber tracking in the developing infant brain but is limited in capability to disentangle the complex white matter organization. Advanced tractography techniques allow for reconstruction of crossing fiber bundles to better reflect the brain's complex organization. Yet, they pose practical and technical challenges in the fast developing young infant's brain. Methods on how to approach advanced tractography in the young infant's brain have hardly been described. Based on a literature review, recommendations are provided to optimize tractography for the developing infant brain, aiming to advance early diagnosis and neuroprotective strategies.

Plant resistance to pathogens as a result of gene interaction

Modern information on the genomics of plants and plants’ pathogens as well the achievements of molecular biology have made it possible to state the participation of gene products, proteins, in the organization of molecular complexes that are assembled to implement a certain character of the phenotype. The character of plant “resistance/sensitivity” to a certain biotic factor is also interesting because there is an interaction not only between the genes of one organism, but between the genes of organisms that lie in different kingdoms of life.Plant resistance to pathogens can be passive (provided mainly by characters of plant morphology) and active. Active resistance is formed as a result of the penetration of the pathogen or its elicitors and effectors into the plant. Active protection of the plant at the molecular level is expressed in the launch of the MAPK cascade, the accumulation of reactive oxygen species, and an increase in the flow of calcium ions to the cell. Active protection can be implemented on two levels. The first level, RTI (PAMP Triggered Immunity), develops in response to plant contact with a wide range of non-adapted pathogens. The resistance (immunity) that is formed in this case is called non-specific, or horizontal, or quantitative. The molecular instrument for initiating the defensive reaction is the PRR (Pattern Recognition Receptors). Adapted pathogens are able to overcome RTI by sending effectors to plant cells. These are protein molecules whose function is to create conditions within the cell that are more permissive to the pathogen. The effector can be recognized by the plant’s specific NLR (Nod-Like Receptors), and complementation occurs between the two. There are other specific plant molecules, nonNLR, with a different type of protein product interaction for recognition. In both cases, the second level of protection, ETI (Effector Triggered Immunity), develops. The set of molecular processes that occur at the second level of protection does not differ from the set of the first level, but the processes occur more intensively and are accompanied by the death of the affected cells. This prevents the further spread of the pathogen throughout the plant. The molecular events of the first and second levels of protection are not isolated. The interaction between them involving the products of plant genes and pathogen genes is described by the “zig-zag-zig”-model, invasion model, and the integrated iceberg model. The interaction of plant genes for effector recognition is described by the “guard” and “decoy” models. To initiate a defensive reaction, plant receptors, which can sometimes differentiate into sensors and helpers, form protein complexes, resistosomes.

Rhythms in lipid droplet content driven by a metabolic oscillator are conserved throughout evolution

The biological clock in eukaryotes controls daily rhythms in physiology and behavior. It displays a complex organization that involves the molecular transcriptional clock and the redox oscillator which may coordinately work to control cellular rhythms. The redox oscillator has emerged very early in evolution in adaptation to the environmental changes in O2 levels and has been shown to regulate daily rhythms in glycerolipid (GL) metabolism in different eukaryotic cells. GLs are key components of lipid droplets (LDs), intracellular storage organelles, present in all living organisms, and essential for energy and lipid homeostasis regulation and survival; however, the cell bioenergetics status is not constant across time and depends on energy demands. Thus, the formation and degradation of LDs may reflect a time-dependent process following energy requirements. This work investigated the presence of metabolic rhythms in LD content along evolution by studying prokaryotic and eukaryotic cells and organisms. We found sustained temporal oscillations in LD content in Pseudomonas aeruginosa bacteria and Caenorhabditis elegans synchronized by temperature cycles, in serum-shock synchronized human embryonic kidney cells (HEK 293 cells) and brain tumor cells (T98G and GL26) after a dexamethasone pulse. Moreover, in synchronized T98G cells, LD oscillations were altered by glycogen synthase kinase-3 (GSK-3) inhibition that affects the cytosolic activity of the metabolic oscillator or by knocking down LIPIN-1, a key GL synthesizing enzyme. Overall, our findings reveal the existence of metabolic oscillations in terms of LD content highly conserved across evolutionary scales notwithstanding variations in complexity, regulation, and cell organization.Graphical abstract

A Systems Engineering Approach to Incorporate ESG Risks and Opportunities in Early-Stage Mine Design and Planning

This study examines how ESG risks and opportunities can be systematically identified, assessed, and incorporated into the early-stage design and planning of natural resources projects. The focus for this study will be on the mining activities required to source the resources for the global decarbonization effort. The need for a framework to incorporate ESG risks and opportunities into the strategic mine planning process was first identified in the de Beers Sustainability Valuation Approach. The Social Value Capital Decision Model advanced by BHP represents an advance on the de Beers model. This is the first example of a structured methodology for systematically considering stakeholder values and incorporating these into the capital decision framework. To test the applicability of a new approach to mine design by using Quality Function Deployment (QFD), a case study involving a copper mine located in South America was developed. This case study demonstrates how QFD can provide clear line-of-sight to connect design decisions with priority stakeholder concerns. The framework provides a communications tool for aligning the ESG design process across functional silos within complex organizations. The development of appropriate software tools could assist in managing the inherent complexity associated with integrating stakeholder value concerns into early stage design decisions.

New insights into complex social organization in the southern Caucasus – Late Bronze Age–Early Iron Age settlement patterns in the Shiraki Plain (southeast Georgia)

Abstract. Due to its location between Mesopotamia and the Eurasian steppes, the southern Caucasus occupies a distinctive place in Old World archeology. While several local areas in the South Caucasus have shown a complex social organization with fortified structures during the Late Bronze Age and Early Iron Age (LBA–EIA), the Shiraki Plain (southeast Georgia), despite its immense potential, has yet to be examined in a regional context. The presented research aims to conduct an initial multi-stage landscape archeological survey over the Shiraki Plain in order to reveal the LBA–EIA fortified settlements of previously identified Didnauri and Nazarlebi types. The authors use remote sensing, photogrammetry, and terrestrial survey methods to investigate selected areas. The results demonstrate the density and complexity of the massive, fortified structures spread over both the plain and neighboring ridges. Their spatial distribution suggests the idea of a well-organized defensive system adapted to the landscape, which in turn is discussed in a broader regional context.

Quantum logic automata generalizing the edge of chaos in complex systems

BackgroundHistorically, although researchers in the science of complex systems proposed the idea of the edge of chaos and/or self-organized criticality as the essential feature of complex organization, they were not able to generalize this concept. Complex organization is regarded at the edge of chaos between the order phase and the chaos phase and a very rare case. Additionally, in cellular automata, the critical property is class IV, which is also rarely found. Therefore, there can be overestimation for natural selection. More recently, developments in cognitive and brain science have led to the free energy principle based on Bayesian inference, while quantum cognition has been established to explain various cognitive phenomena. Since Bayesian inference results in the perspective of a steady state, it can be described in Boolean logic. Considering that quantum logic consists of multiple Boolean logic in terms of lattice theory, the perspective of the free energy principle is the perspective of order, and the perspective of quantum logic might be the perspective of multiple worlds, which is strongly relevant for the edge of chaos.ProblemThe next question arises whether the perspective derived from quantum logic can be generalized for the complex behavior consisting of both order and chaos, instead of the edge of chaos or self-organized criticality, to reveal the property of critical behavior such as a power-law distribution.SolutionIn this study, we define quantum logic automata, which entail quantum logic (orthomodular lattice) in terms of lattice theory and have the features of a dynamical system. Because quantum logic automata are applied to a binary sequence, one can estimate the behavior of those automata with respect to patterns and a time series. Here, we show that most of a group of quantum logic automata display class IV-like behavior, in which oscillatory traveling waves collide with each other, leading to complex behavior; moreover, a time series of binary sequences displays 1/f noise. Therefore, one can see that quantum logic automata generalize and expand the idea of the edge of chaos.

A Standard Approach to Project-Based Learning in a Clinical Informatics Fellowship.

The Accreditation Council for Graduate Medical Education suggests that Clinical Informatics (CI) fellowship programs foster broad skills, which include collaboration and project management. However, they do not dictate how to best accomplish these learning objectives. This study aimed to describe a standard approach to project-based learning for CI, to share its implementation, and to discuss lessons learned. We created a standard approach to project-based learning based on concepts from adult learning theory, the project life cycle framework, the Toyota Production System, and Improvement Science. With this standard approach in place, we learned how best to support fellows in its use. In addition to this approach to supporting needs assessment, risk/change management, implementation, and evaluation/improvement skills, we found the need to develop fellow skills in collaboration, leadership, and time management/managing up. Supported by project-based learning using this standard approach, and with targeted project selection to meet topic-based learning objectives, fellows reached the ability to practice independently in 15 to 21 months. Fellows are uniquely positioned to ensure the success of projects due to their increased availability and protected time compared with attendings. They are readily available for project teams to draw upon their expertise with clinical workflows and understanding of technological solutions. Project-based learning addressing organizational priorities complements fellow project management coursework and improves fellows' ability to function successfully in large, complex, and dynamic organizations. Exposing fellows to contemporary problems, then addressing them through projects, provides fellows with up-to-date applied informatics knowledge. Project-based learning can ensure that many general CI learning objectives are supported inherently. It reinforces project management teachings, while providing fellows with a marketable project portfolio to aid with future job applications. Having projects tightly aligned with organizational priorities supports ongoing investment in fellowship programs.

Organisation design in megaprojects: A systematic literature review and research agenda

Megaprojects have a complex and evolving web of organisations arranged in a multilevel and multiphase structure, with intra- and inter-organisational boundaries evolving during the life cycle. This systematic review explores organisation design in megaprojects, identifying the processes for designing temporary megaproject organisational systems. The review analyses 141 full articles from a sample of 10,078 papers and presents three main contributions: the main theoretical lenses used to develop organisation design research in megaprojects, eight decision dimensions influencing organisation design choices, and the most common organisational capabilities. We present the Megaproject Organisation Design (MegaOD) Framework, as a structure to design organisational boundaries, and to identify the organisational dynamics (design, development, and redesign). We suggest four research streams to advance the design of complex organisations: 1. Design of megaproject ecosystems, 2. Degree of organisational interdependence, 3. Design for integration of product and organisational architectures, and 4. The role of organisational designers.

The coevolution of corporate capabilities in intellectual property management and technological innovation

PurposeIn this study, we investigate how capability in managing intellectual property may be treated as a type of “dynamic capability,” and we seek to understand how, when it is linked to the new technology development capability of a complex technological organization, these two types of dynamic capabilities may coevolve.Design/methodology/approachWe conducted a longitudinal empirical case study of Airbus, incorporating an abductive research methodology that required investigating theory and empirical data concurrently and iteratively. The data, ranging over a period of two decades from 2000 to 2021, was collected from four different sources, including interviews, internal company documents, publicly available information and patent data.FindingsOur main findings are that the capabilities and roles of the Intellectual Property function in Airbus and their interaction with the company's Technology function have indeed influenced the overall innovation strategy of the organization, and that three coevolutionary phases may be identified in the interactive development of the two functions.Research limitations/implicationsOur investigation into how new technology development and intellectual property (IP) management capabilities coevolve within complex technological organizations, exemplified by Airbus, provides significant theoretical and practical implications. Theoretically, it enhances understanding of capability co-development dynamics in complex organizations, particularly in strategic IP management. Practically, it suggests aligning IP strategy with overall corporate objectives and optimizing organizational structures to promote collaboration and efficiency across IP and technology teams. This alignment may foster innovation, maximize the value of intellectual assets and strengthen collaborations, positioning organizations for long-term success in competitive landscapes.Originality/valueThis study makes a fresh contribution to the innovation studies literature by showing how if intellectual property management is treated as a core function of a complex technological organization – rather than simply as a vehicle for protecting new inventions and products after the fact or simply as a constituent part of the organization's legal function – it may contribute proactively to the organization's technological innovation performance. We also address the current gap in the academic literature for a clear understanding of the processes by which different function-specific dynamic capabilities may coevolve in a complex organization operating as part of a dynamic and complex adaptive system.

Model of Arteriovenous Malformation Created in Human Placenta for Training in Vascular Microneurosurgery.

Arteriovenous malformations (AVMs) are congenital lesions, and because of their structure, complexity, flow, size, and location organization, they are lesions that require extensive anatomic knowledge and mastery of microsurgical skills and techniques. Human placentas as a training model for AVM surgery are promising alternatives. This article aims to describe the technique for forming an AVM-type lesion in human placentas and its usefulness in the training of microsurgical treatment techniques. In this study, 15 fresh human placental models were treated. A nidus was created using synthetic material, and dynamic flow was evaluated with intravascular injection of Indocyanine Green. The catheter system was connected to a continuous flow infusion pump. For simulation purposes, 4 vascular neurosurgeons and 4 vascular neurosurgery fellows used the same techniques and instruments used in real surgery to simulate the resection of AVM lesions. Subjective assessments were conducted, evaluating the validity and structured content on a 5-point Likert scale. Evaluation criteria included the execution of technical maneuvers and the model's expression and structural aspects. We describe the step-by-step creation of an AVM in a placental biological model for the performance of vascular microsurgery training in the laboratory. We created in the human placenta a lesion with the characteristics of an AVM for microsurgical training in the laboratory, which presents key features realistic to a real AVM, such as 1 or more feeder arteries, nidus (synthetic), draining vein(s), continuous and pulsatile flow, and 3-dimensional configuration. Furthermore, it demonstrates the applicability of microsurgical techniques to the model compared with performing surgery on a patient. Considering it an effective method for laboratory training, the creation of arteriovenous malformations in human placentas enables students to replicate, comprehend the structure, and master microsurgical techniques in a realistic model.

Assessment Norms Development of the Subjective Work Environment Battery “B-SWE” for Chilean Organizations

The objective of this research was to generate evaluation norms for the scores of the Subjective Work Environment Battery "B-SWE" from a base of 1,413 valid response protocols of workers belonging to 11 complex organizations in the central-south region of Chile. The B-SWE seeks to identify and analyze the subjective factors of work climate, understood as the result of the interrelation of the dimensions of organizational climate and culture, professional burnout, psychosomatic symptomatology, and coping strategies in specific socio-occupational contexts, which reflect the human dimension of the productive processes of an organization. Scales were obtained according to administrative dependency (public or private) and gender. The B-SWE comprises 136 Likert-type items with a five-option scaling, presenting adequate evidence of internal structure in the Chilean context. The results showed the existence of "differentiating dimensions" according to gender and dependency of the organizations, from which centile norms are constructed for the raw scores of the 15 dimensions of the B-SWE. Once the norms were obtained, differentiated and specific interpretations were presented for each dimension. In conclusion, the workers in public organizations showed higher levels of Organizational Trust, Job Satisfaction, Reflective Action, and Personal Fulfillment. In contrast, female workers presented higher levels of Affective Seeking, Spiritual Support, and Psychosomatic Symptoms and lower levels of Affective Hardening.

Exploring the Relationship between Surface Acting, Job Stress, and Emotional Exhaustion in Health Professionals: The Moderating Role of LMX.

Rapid organizational changes due to technological advancements, high-efficiency expectations, and uncertainties, particularly in healthcare, have led to a global stress epidemic among em-ployees. This has been exacerbated by the COVID-19 pandemic and evolving workplace practices. Surface acting, or the suppression and faking of emotions, significantly contributes to this stress and burnout, impacting not only individual healthcare professionals but also healthcare systems' overall effectiveness and sustainability. Providing adequate resources in high-demand work environments is, thus, essential to mitigate these negative experiences. Leader-member exchange (LMX) can play a pivotal role in understanding and addressing the needs and expectations of healthcare professionals. Drawing on Conservation of Resources (COR), Job Demands-Resources (JD-R), Social Exchange theories, and Grandey's Emotional Regulation Model, this study analyzed data from a convenience sample of 350 healthcare professionals. The results reveal that surface acting intensifies healthcare professionals' experiences of job stress and emotional exhaustion. Notably, the study empirically demonstrated that high levels of LMX in healthcare professionals' relationships with their leaders can mitigate the impact of surface acting on job stress and emotional exhaustion. These findings offer valuable insights for managers and policymakers, highlighting the importance of LMX in maintaining sustainable management practices in complex and stressful healthcare organizations.

Understanding the diversity of Community Supported Agriculture: a transdisciplinary framework with empirical evidence from Germany

IntroductionCommunity Supported Agriculture (CSA) is an emerging model within alternative food networks (AFNs). It shapes close relationships between food producers and consumers, thereby contributing to food sovereignty and agri-food system transformations. Despite rapid growth from about 10 to over 500 CSAs in just over a decade, the model in Germany still remains niche. We argue that further and faster scaling up requires better understanding of its diversity, yet a comprehensive conceptualization of CSA types is lacking, with insufficient differentiation in research and practice.MethodsThis study employs a transdisciplinary mixed-methods approach (literature, qualitative, and quantitative data) in cooperation with the German CSA Network. By integrating organizational perspectives, we found that CSAs are highly complex and diverse organizations. Therefore, we firstly aimed at identifying characteristics that we summarized in a CSA framework. In a second stage, we used this framework as guiding structure for co-developing a survey with the Network covering 70 participating CSAs.ResultsAs the defining characteristic within the CSA framework, community financing (domain A) clarifies the uniqueness of the CSA model, thus enables delimitation from other AFN forms. Then differentiation characteristics (domain B) encompass the diversity of CSA configurations. CSA governance (domain B1), regarding the predominant characteristic of organizational governance, distinguish between Producer-led, Consumer-led, and Integrated (all-in-one) CSA types. Varying characteristics (domain B2) specify CSA configurations and enable additional distinction between CSAs. Based on the developed CSA framework, the survey results verify the applicability of governance types in particular, while confirming a high level of diversity of differentiating characteristics in general.DiscussionThis study can be used to reveal existing generalizations about CSAs, providing a starting point for more nuanced and critical views in research and practice. When seen against the background of AFN and food sovereignty discourses in particular, CSA is an alternative production-distribution model, but not every CSA is governed or structured in alternative ways. CSAs can simultaneously contain both more conventional, traditional elements, as well as more alternative elements. Moreover, the framework provides easy-to-access differentiation criteria for matching members with their most suitable CSAs and vice versa. Overall, this study illustrates that CSA cannot be considered as homogeneous AFN type but be rather marked as a diverse field of its own.

Single-cell multi-omic and spatial profiling of human kidneys implicates the fibrotic microenvironment in kidney disease progression.

Kidneys are intricate three-dimensional structures in the body, yet the spatial and molecular principles of kidney health and disease remain inadequately understood. We generated high-quality datasets for 81 samples, including single-cell, single-nuclear, spot-level (Visium) and single-cell resolution (CosMx) spatial-RNA expression and single-nuclear open chromatin, capturing cells from healthy, diabetic and hypertensive diseased human kidneys. Combining these data, we identify cell types and map them to their locations within the tissue. Unbiased deconvolution of the spatial data identifies the following four distinct microenvironments: glomerular, immune, tubule and fibrotic. We describe the complex organization of microenvironments in health and disease and find that the fibrotic microenvironment is able to molecularly classify human kidneys and offers an improved prognosis compared to traditional histopathology. We provide a comprehensive spatially resolved molecular roadmap of the human kidney and the fibrotic process, demonstrating the clinical utility of spatial transcriptomics.

Parametric method of information transfer in energy resources expenditure control systems

The article examines the justification of the parametric method of information transmission for the construction of energy resource consumption control systems. It is shown that the system of accounting for energy resources should be a distributed multi-level system of measurements, processing, storage and transmission of commercial accounting data and should be built on the principles of open architecture and distributed functioning. It is shown that the organization of hierarchical complexes for solving control tasks depends to a large extent on the issues of effective information transmission and that the creation of information networks is the most difficult task. sensors, into a voltage proportional to it and the corresponding binary code. The structural diagram of the device implementing the specified principle is presented. A method of calculating the parameters of the device for transmitting information from two-position sensors is proposed and an example of calculating the parameters of such a device is given