Original View Research Articles

Regulatory T cells and macrophages in atherosclerosis: from mechanisms to clinical significance

Atherosclerosis is a complex pathological process, which causes diseases that threaten the health of an increasing number of people. Studies have found that the original view of lipid accumulation is not comprehensive because the use of lipid-lowering drugs alone cannot effectively treat atherosclerosis. As the study of the pathogenesis of atherosclerosis develops in-depth, the impact of immune-inflammatory response on atherosclerosis has garnered a great deal of attention. Some new advances have been made in the role of regulatory T cells (Tregs) and macrophages with unique immunomodulatory functions in atherosclerosis. Herein, the role of Tregs, macrophages, the mechanisms of Tregs-regulated macrophages, and the effects of potential factors on Tregs and macrophages in atherosclerosis are overviewed. Targeting Tregs and macrophages may provide new research strategies for the treatment of atherosclerosis in the clinic.

Autonomous Landing Strategy for Micro-UAV with Mirrored Field-of-View Expansion.

Positioning and autonomous landing are key technologies for implementing autonomous flight missions across various fields in unmanned aerial vehicle (UAV) systems. This research proposes a visual positioning method based on mirrored field-of-view expansion, providing a visual-based autonomous landing strategy for quadrotor micro-UAVs (MAVs). The forward-facing camera of the MAV obtains a top view through a view transformation lens while retaining the original forward view. Subsequently, the MAV camera captures the ground landing markers in real-time, and the pose of the MAV camera relative to the landing marker is obtained through a virtual-real image conversion technique and the R-PnP pose estimation algorithm. Then, using a camera-IMU external parameter calibration method, the pose transformation relationship between the UAV camera and the MAV body IMU is determined, thereby obtaining the position of the landing marker's center point relative to the MAV's body coordinate system. Finally, the ground station sends guidance commands to the UAV based on the position information to execute the autonomous landing task. The indoor and outdoor landing experiments with the DJI Tello MAV demonstrate that the proposed forward-facing camera mirrored field-of-view expansion method and landing marker detection and guidance algorithm successfully enable autonomous landing with an average accuracy of 0.06 m. The results show that this strategy meets the high-precision landing requirements of MAVs.

Cardiac arrhythmias in fish induced by natural and anthropogenic changes in environmental conditions.

A regular heartbeat is essential for maintaining the homeostasis of the vertebrate body. However, environmental pollutants, oxygen deficiency and extreme temperatures can impair heart function in fish. In this Review, we provide an integrative view of the molecular origins of cardiac arrhythmias and their functional consequences, from the level of ion channels to cardiac electrical activity in living fish. First, we describe the current knowledge of the cardiac excitation-contraction coupling of fish, as the electrical activity of the heart and intracellular Ca2+ regulation act as a platform for cardiac arrhythmias. Then, we compile findings on cardiac arrhythmias in fish. Although fish can experience several types of cardiac arrhythmia under stressful conditions, the most typical arrhythmia in fish - both under heat stress and in the presence of toxic substances - is atrioventricular block, which is the inability of the action potential to progress from the atrium to the ventricle. Early and delayed afterdepolarizations are less common in fish hearts than in the hearts of endotherms, perhaps owing to the excitation-contraction coupling properties of the fish heart. In fish hearts, Ca2+-induced Ca2+ release from the sarcoplasmic reticulum plays a smaller role than Ca2+ influx through the sarcolemma. Environmental changes and ion channel toxins can induce arrhythmias in fish and weaken their tolerance to environmental stresses. Although different from endotherm hearts in many respects, fish hearts can serve as a translational model for studying human cardiac arrhythmias, especially for human neonates.

Теоретическое осмысление социальных функций административной ответственности: негативные и позитивные аспекты

The article attempts to consider the social functions of administrative responsibility from the perspective of the general theory of law and legal responsibility, taking into account the negative and positive aspects implemented within the framework of administrative procedural legal relations. The author’s understanding of the functions of law, positive and negative forms of legal and administrative responsibility is given, a new original view is proposed on the protective functions of administrative responsibility, which have a socially oriented orientation, ensuring the regulation of public relations, including taking into account conceptual approaches to improving control (supervisory) activities. As a scientific discussion, it is proposed to identify three protective functions of administrative responsibility in administrative procedural legal relations, ensuring its negative impact.

Investigation of human interaction with an augmented remote operating system for scaling in mining applications

Thanks to the advent of telepresence applications, we can remotely take control and operate industrial machinery. Teleoperation removes operators from hazardous workplaces such as mining and plays an essential role in the safety of workers. In addition, augmented telepresence can introduce information that helps the user understand the remote scene. However, remote operation presents challenges since the information received is more limited than what could be perceived by being physically present, such as accurately judging depth. This study investigates how well operators interact with an augmented remote operation scaling system (AROSS) in a mining context when different computer-generated visual interfaces are provided. The system can achieve five visual interfaces: Disocclusion Augmentation view using selective content removal, Novel Perspective view generation, Lidar view, Right (Original) view, and Left (Original) view. We performed two experiments in a mine-like laboratory to analyze human interaction with the designed prototype by applying a mixed research methodology that used questionnaires, interviews, and observations. This mixed methodology consisted of quality of experience methods to discover the users’ requirements from a technological standpoint and user experience methods (i.e., user-centric approaches). We investigated 10 and 11 users’ interactions in two experimental studies. The first experiment focused on identifying small patterns (e.g., cracks in the mine wall), and the second focused on depth and three-dimensional understanding. We considered the first experiment a feasibility test to understand how to conduct the second experiment. Therefore, we designed the second test to assess the technical readiness of AROSS from the users’ perspective. The overall conclusion yields a comprehensive understanding of users’ perceptions and experiences. The quality of experience results favored Left and Right (Original) views for remote control, indicating a preference among remote operators using natural (Original) views due to their facilitation of environmental comprehension. User experience analysis revealed the reason why other views were less favored and what their potential benefits are. Specifically, Novel Perspective and Lidar views were found helpful for depth perception, and Disocclusion Augmentation view functionality could be enhanced if robot arm position tracking is enabled. These insights inform design recommendations, emphasizing the value of incorporating Disocclusion Augmentation and Novel Perspective views and suggesting improvements to enhance system usability.

Embryonic origins of forebrain oligodendrocytes revisited by combinatorial genetic fate mapping.

Multiple embryonic origins give rise to forebrain oligodendrocytes (OLs), yet controversies and uncertainty exist regarding their differential contributions. We established intersectional and subtractional strategies to genetically fate map OLs produced by medial ganglionic eminence/preoptic area (MGE/POA), lateral/caudal ganglionic eminences (LGE/CGE), and dorsal pallium in the mouse brain. We found that, contrary to the canonical view, LGE/CGE-derived OLs make minimum contributions to the neocortex and corpus callosum, but dominate piriform cortex and anterior commissure. Additionally, MGE/POA-derived OLs, instead of being entirely eliminated, make small but sustained contribution to cortex with a distribution pattern distinctive from those derived from the dorsal origin. Our study provides a revised and more comprehensive view of cortical and white matter OL origins, and established valuable new tools and strategies for future OL studies.

Lateral/caudal ganglionic eminence makes limited contribution to cortical oligodendrocytes.

The emergence of myelinating oligodendrocytes represents a pivotal developmental milestone in vertebrates, given their capacity to ensheath axons and facilitate the swift conduction of action potentials. It is widely accepted that cortical oligodendrocyte progenitor cells (OPCs) arise from medial ganglionic eminence (MGE), lateral/caudal ganglionic eminence (LGE/CGE), and cortical radial glial cells (RGCs). Here, we used two different fate mapping strategies to challenge the established notion that the LGE generates cortical OPCs. Furthermore, we used a Cre/loxP-dependent exclusion strategy to reveal that the LGE/CGE does not give rise to cortical OPCs. Additionally, we showed that specifically eliminating MGE-derived OPCs leads to a significant reduction of cortical OPCs. Together, our findings indicate that the LGE does not generate cortical OPCs, contrary to previous beliefs. These findings provide a new view of the developmental origins of cortical OPCs and a valuable foundation for future research on both normal development and oligodendrocyte-related disease.

Hierarchical Protofilament Intertwining Rules the Formation of Mixed-Curvature Amyloid Polymorphs.

Amyloid polymorphism is a hallmark of almost all amyloid species, yet the mechanisms underlying the formation of amyloid polymorphs and their complex architectures remain elusive. Commonly, two main mesoscopic topologies are found in amyloid polymorphs characterized by non-zero Gaussian and mean curvatures: twisted ribbons and helical fibrils, respectively. Here, a rich heterogeneity of configurations is demonstrated on insulin amyloid fibrils, where protofilament packing can occur, besides the common polymorphs, also in a combined mode forming mixed-curvature polymorphs. Through AFM statistical analysis, an extended array of heterogeneous architectures that are rationalized by mesoscopic theoretical arguments are identified. Notably, an unusual fibrillization pathway is also unraveled toward mixed-curvature polymorphs via the widespread recruitment and intertwining of protofilaments and protofibrils. The results present an original view of amyloid polymorphism and advance the fundamental understanding of the fibrillization mechanism from single protofilaments into mature amyloid fibrils.

Comprehensive consensus representation learning for incomplete multiview subspace clustering

Incomplete multiview clustering (IMVC) aims to address clustering problems caused by missing views. While some progress has been made, the current approaches still have some problems. First, the existing IMVC methods excessively rely on the original high-dimensional multiview data, leading to suboptimal results when the data are heavily contaminated. Second, the utilization of high-dimensional data often overlooks the complementarity of and consistency across multiple views. Third, the cluster structure of the input data is not adequately considered, which is detrimental to the resulting clustering performance. To address these problems, we propose a novel method: comprehensive consensus representation learning for incomplete multiview subspace clustering (CLR-IMVC). Specifically, CLR-IMVC assumes that all views are generated from a latent representation space. We model the original incomplete multiple views and the latent space to explore their correlations. Subsequently, we use the latent space to generate complete views and construct a subspace self-representation matrix for each view. Moreover, we innovatively treat the latent representation itself as new a view and likewise extract its self-representation matrix. Furthermore, we construct a third-order tensor by using these self-representation matrices and impose low-rank constraints on the tensor to explore the high-order correlations among the matrices. In addition, a consensus representation learning term is added to explore the consistency information between the views and the latent space, ultimately generating a robust clustering structure. Finally, the proposed method can be effectively solved by the augmented Lagrangian multiplier (ALM). Extensive experiments conducted on diverse datasets demonstrate the effectiveness of CLR-IMVC.

Blockchain Adoption in Networks: The Decision Flow through three Arenas

Aim/Purpose: To show how the adoption decision about blockchain technology follows a path through three ‘arenas’, each showing distinctive organisational and behavioural driving forces. Methodology: Grounded theory using Meta-analysis, mind mapping, participative observation and 22 Atlas.ti analysed interviews. Findings: Three ‘arenas’ were observed: (#1) visualises the driving forces, motivations and reasons that play a role in the mind of the decision making individual and is the result of the conditioning process occurred during the trajectory through networks during the life and career of that individual; (#2) reflects and incorporates the transition from the individual level decision making to the company level, meeting other decision makers. The worldview, power and hierarchy dynamics among the company's decision-making leadership directly shape the overall company strategy. This strategizing, in turn, leads to particular outcomes and effects on the company's network and connections; (#3) describes the constituting elements and origins of power that play a role for four different types of networks: long term relations, consortia, exploitative networks and spot buying networks. Originality: This study offers an original view on innovation adoption processes in supply chains, networks and systems, applied to the case of blockchain technology. Conclusions: Blockchain usage seems mainly relevant for networks based on long-term relations, not so much for consortia, exploitative networks and spot buying networks. Which network a company choses to participate in depends on the worldview of the company as a result of the distribution of hierarchies of the participating decision makers. In addition, an increased company size implies an increased feeling blockchain usage would or could compensate lack of trust because of less personal contacts.

The Conservative of the Spontaneous Order

Libertarianism itself does not hold a stance on moral issues and hence does not prevent libertarians from adopting culturally conservative or liberal positions. Though libertarianism has no position on cultural issues per se, this article argues that libertarians should intellectually oppose the ideas behind some of the current cultural developments in the West due to their constructivist nature. Based on Hayek’s critique of constructivism, I contend that many of the recent cultural shifts in society are influenced by rational constructivist ideas—namely, critical theory and deconstruction. These ideas pose an intellectual threat to libertarianism for two reasons: (1) They intellectually challenge the traditional libertarian view of the spontaneous origins of civil society, which they aim to reshape in favor of a structure that reflects a specific postmodern world view. (2) It remains uncertain how a libertarian society would function under a newly constructed social order that does not value free speech, property rights, and other fundamental principles of the current liberal order. The spontaneous order is the defining feature of libertarian social analysis, and it must be intellectually defended.

Проблема происхождения и сущности ничто в христианской концепции творения мира Богом

In this article, the authors offer an original view on the development of the creation concepts in the Christian thought history. The article focuses on the importance of the cosmogony of Gnostic Christianity for the development of cosmogonic ideas in European philosophy. The cosmogony of the Gospel of Truth is interpreted as a serious philosophical alternative to the orthodox concept of the creation of the world from nothing and the neoplatonic concept of emanation. The authors point to the continuity between the concept of creation in the texts of Gnostic Christianity and subsequent philosophical systems expressed in the texts of Origen, Evagrius of Pontus, Areopagitics, Meister Eckhart, Nicholas of Cusa, and others. Particular attention is paid to the understanding of the concept of “nothing” in the context of the development of cosmogonic systems.

On Suwenxue 俗文學 and Its Status under Different Literary Views

The connotation of suwenxue 俗文學 has an inextricable relationship with a particular view of literature. Different views of literature have their respective prescribed values, which bring different understandings of suwenxue and different evaluations of its status in literary history. Rather than defining suwenxue based on its external features, this article examines it from three representative literary views: the Chinese traditional literary view, the literary view under the Tang-Song transition hypothesis, and Zheng Zhenduo's 鄭振鐸 (1898–1958) literary view. The Chinese traditional literary view centers on articulating Confucian emotions and conveying the Confucian Dao. Accordingly, suwenxue falls within the scope of unorthodox literature and has a lower literary status. The progressive historical view of the Tang-Song transition hypothesis—that suwenxue originated from poetry and prose— represents the direction of literary development and should be accorded high status. Finally, Zheng Zhenduo takes suwenxue as a literary discipline, a fresh and original view that expands the territory of Chinese literature.

Attribute mining multi-view contrastive learning network for recommendation

Knowledge graph, with its rich edge information, has demonstrated its superiority in improving interpretability and alleviating the cold start problem, and has been widely applied in recommendation systems. Currently, graph neural networks (GNNs)-based methods have become mainstream in knowledge-aware recommendation (KGR) due to their unique ability to capture cross-order structural information. However, because of the natural sparsity of user and item interaction data, GNNs-based knowledge-aware recommendation methods generally face the sparse supervised signals, which limits their performance in applications. In this paper, we propose a new model named Attribute Mining Multi-view Contrastive Learning Network (AMMCN) to address this challenge. Firstly, AMMCN enriches the originally sparse embedding representation by mining the potential information of native data and constructing four different views. Unlike previous works that generate new views through simple destruction and dropout or build contrastive views by guiding user–item graph enhancement with knowledge graph, we holistically integrate both the global collaborative knowledge graph and the local-level user–item graphs along with their associated knowledge graphs. We also adopt the intersection over union (IoU) method to mine the item attribute information on each original view, so as to generate a new contrastive view - item–item graph. On this basis, AMMCN conducts cross-view contrastive learning at the local and global-levels, integrating the collaborative information of each view and the global structural information in a self supervised manner, overcoming dependence on supervised signals. In addition, in the item–item graph, we designed a top-k similarity matching mechanism to capture collaboration information that was overlooked in previous work and minimize unnecessary noise. Adequate experiments on three public benchmark datasets show that AMMCN achieves considerable performance enhancements in comparison to current methods.

Viewing resolution and depth-of-field enhancement for a digital 3D display based on neural network-enabled multilayer view perspective fitting

The traditional digital three-dimensional (3D) display suffers from low resolution and a narrow depth of field (DoF) due to the lack of planar pixels transformed into view perspectives and the limitation of the diffraction effect of the lens, respectively, which are the main drawbacks to restrict the commercial application of this display technology. Here, the neural network-enabled multilayer view perspective fitting between the reconstructed and original view perspectives across the desired viewing depth range is proposed to render the optimal elemental image array (EIA) for enhancing the viewing resolution as well as the DoF of the digital 3D display. Actually, it is an end-to-end result-oriented coding method to render the fusion EIA with optimal multidepth fusion and resolution enhancement with high registration accuracies for both view perspective and depth reconstructions by using a depth-distributed fitting neural network paradigm. The 3D images presented in the simulations and optical experiments with improved viewing resolution and extended viewing depth range are demonstrated, verifying the feasibility of the proposed method.

Managerial challenges in the conditions of digitalisation. A review of the book “Management for digital transformation” (Springer, 2024)

The active processes of digitalisation of socio-economic systems require modifications of managerial activities which should be facilitated by relevant scientific developments. This article is a review of the monograph devoted to peculiarities of management in the conditions of digital transformation and written by the international team of specialists. The work includes 9 main chapters which address very different aspects of the problem and particularly control during digitalisation, technology transfer, talent management, interaction with customers, marketing tools, e-commerce, functioning of virtual teams, inter-organisational collaboration, management of digital waste. Generally, it is found that despite the fact that digitalisation opens new perspectives for managerial activities, it also forms significant difficulties, and its effects are ambivalent or can often be negative. The considered research field seems to be rather poorly studied, and the monograph successfully poses new questions for the subsequent investigations. The reviewed work demonstrates the mosaic composition; nonetheless, it is informative and offers an original view of the problem. It contains a lot of interesting conceptual constructs and is rich in factual materials. Also, the edition is distinguished by a substantial number of terms, and the available subject index facilitates better orientation in the latter. The style is purely academic, but the potential readership seems to be wide. Despite a few minor deficiencies, the monograph, undoubtedly, will be interesting to Russian specialists.

FEATURES OF REAL NOUNS ON THE EXAMPLE OF SERGEY BORODIN’S WORK “STARS OVER SAMARKAND”

The article analyzes real nouns using the example of Sergei Borodin’s work “Stars over Samarkand”. We have found such real nouns that, from the point of view of origin, belong to the Turkic languages, these are words like buza, ambergris, snipe, plaques. Also, based on the theory of real nouns, we found more than 80 real nouns in the story.

A Traveling Waves Perspective on Temporal Binding.

Brain oscillations are involved in many cognitive processes, and several studies have investigated their role in cognition. In particular, the phase of certain oscillations has been related to temporal binding and integration processes, with some authors arguing that perception could be an inherently rhythmic process. However, previous research on oscillations mostly overlooked their spatial component: how oscillations propagate through the brain as traveling waves, with systematic phase delays between brain regions. Here, we argue that interpreting oscillations as traveling waves is a useful paradigm shift to understand their role in temporal binding and address controversial results. After a brief definition of traveling waves, we propose an original view on temporal integration that considers this new perspective. We first focus on cortical dynamics, then speculate about the role of thalamic nuclei in modulating the waves, and on the possible consequences for rhythmic temporal binding. In conclusion, we highlight the importance of considering oscillations as traveling waves when investigating their role in cognitive functions.

Understanding the redundant functions of the m6A-binding YTHDF proteins.

N 6-methyladenosine (m6A) is the most prevalent modified nucleotide in mRNA, and it has important functions in mRNA regulation. However, our understanding of the specific functions of m6A along with its cytosolic readers, the YTHDF proteins, has changed substantially in recent years. The original view was that different m6A sites within an mRNA could have different functions depending on which YTHDF paralog was bound to it, with bound YTHDF1 inducing translation, while bound YTHDF2 induced mRNA degradation. As a result, each YTHDF was proposed to have unique physiologic roles that arise from their unique binding properties and regulatory effects on mRNA. More recent data have called much of this into question, showing that all m6A sites bind all YTHDF proteins with equal ability, with a single primary function of all three YTHDF proteins to mediate mRNA degradation. Here, we describe the diverse technical concerns that led to the original model being questioned and the newer data that overturned this model and led to the new understanding of m6A and YTHDF function. We also discuss how any remaining questions about the functions of the YTHDF proteins can be readily resolved.

Semi-Supervised Multiview Feature Selection With Adaptive Graph Learning.

As data sources become ever more numerous with increased feature dimensionality, feature selection for multiview data has become an important technique in machine learning. Semi-supervised multiview feature selection (SMFS) focuses on the problem of how to obtain a discriminative feature subset from heterogeneous feature spaces in the case of abundant unlabeled data with little labeled data. Most existing methods suffer from unreliable similarity graph structure across different views since they separate the graph construction from feature selection and use the fixed graphs that are susceptible to noisy features. Furthermore, they directly concatenate multiple feature projections for feature selection, neglecting the contribution diversity among projections. To alleviate these problems, we present an SMFS to simultaneously select informative features and learn a unified graph through the data fusion from aspects of feature projection and similarity graph. Specifically, SMFS adaptively weights different feature projections and flexibly fuses them to form a joint weighted projection, preserving the complementarity and consensus of the original views. Moreover, an implicit graph fusion is devised to dynamically learn a compatible graph across views according to the similarity structure in the learned projection subspace, where the undesirable effects of noisy features are largely alleviated. A convergent method is derived to iteratively optimize SMFS. Experiments on various datasets validate the effectiveness and superiority of SMFS over state-of-the-art methods.