Scientific Interest Research Articles

Realization of the Diachronic Emergence of the Text Space (Using the Example of a Creolized Text)

The subject of this study is the specifics of the implementation of the diachronic emergence of the text space on the example of hypertext. From the point of view of psycholinguistics and linguosynergetics, scientific interest is the result of understanding the text space. In this regard, the relevance of the research topic lies in the ambiguity of the movement of the text space, manifested in the increment of meaning as a result of prompting an individual to speech activity in order to project emotionally significant information. Such a process in linguosynergetic science is commonly called emergence. This phenomenon is the result of the perception of a creolized text, and also structures fragments of semantic and associative semantic fields. The article presents the results of a directed psycholinguistic experiment that demonstrated the process of increment of meaning formed as a result of the perception of a complex text formation. The methodology of the organization and conduct of experimental work is described. The scientific novelty of the research is reflected in the use of a new approach to the study of the specifics of the development of meaning. The directed psycholinguistic experiment made it possible to determine the role of emergence in the formation of the dynamics of semantic text space. Along with this, the possibilities of the phenomenon under study are highlighted, which are revealed in the formation of new systems, which is a demonstration of the movement of the text space. As a result, two groups of emergence components have been identified: the first is represented by comments developing the main idea, distributed by topics; the second is contradictions, which are logically contradictory statements that do not correspond to the topic of the stimulus material. In the course of the implementation of the information flow of the text, new meanings, thematic ramifications arise, the potential possibility of anticipating which is significant for diachronic emergence.

Ligeti and Artistic Research

AbstractGyörgy Ligeti was very interested in many artistic and scientific fields and drew inspiration for his compositional work from them (his engagement with mathematics – particularly fractal geometry and chaos theory – is perhaps the best known). In this chapter I compare the concept of artistic research with Ligeti's practice and oeuvre. While the notion of artistic research was only appearing in embryonic form during the latter stages of Ligeti's career, many – though not all – of his statements seem to be suitable for describing his artistic processes. The benefit of this investigation is expected to be twofold: applying the concept of artistic research to Ligeti's approaches and practices should yield new insights on the relationship between his work and his interest in other humanities and sciences. Yet this look at Ligeti may also help to refine the concept of artistic research as discussed and applied to the artistic output of today.

Review on mechanism and remediation strategies of dissolved oxygen abnormal in surface water.

Dissolved oxygen (DO) is an important index to evaluate the quality of surface water environments. In recent years, anomalies in DO level have emerged as a major contributor to the decline of surface water quality. These anomalies have triggered several ecological and environmental challenges such as biodiversity loss, the degradation of water environmental quality, intensification of eutrophication, and an exacerbation of the greenhouse effect. Understanding the mechanisms underlying DO anomalies and devising targeted remediation strategies holds paramount importance in the scientific pursuit of water pollution control and aquatic ecosystem restoration. We explored and summarized the fluctuations and abnormal mechanism of DO concentration in surface water, focusing on factors like oxygen solubility, reoxygenation rates, and oxygen consumption by water bodies. We compiled a range of approaches for addressing DO anomalies, including pollution source management, artificial oxygenation, and the reconfiguration of aquatic ecosystems. Ultimately, we underscored the emerging significance of monitoring and regulating DO level in surface waters. Future research in this realm should encompass the establishment of distinct quality standards for surface water, the development of a comprehensive real-time spatial monitoring system for DO levels across watersheds, and the formulation of standardized procedures and technical norms.

Educational Paradigms in Islamic Medical History: A Review.

The rise of Islam in Arabia witnessed a scientific pursuit from 8th CE to 14th CE in its vast dominion. Medicine was one among many disciplines that was reshaped during the golden ages of Islamic world. Physicians and scholars from diverse faiths and background flocked in learning centers of Baghdad, Cordoba, and other cities. A multicultural environment of medical research was evolved with fundings from state. From medical teaching and clinical training to the licensing of physicians, many of the modern attributes of medical education were pioneered in Islamic world. The scholarly transfusion from European territories of Islamic world to the Western world in medieval era laid the foundation of modern medical education.

Analysis of Carbon Nanoparticle Coatings via Wettability

Wettability, typically estimated through the contact angle, is a fundamental property of surfaces with wide-ranging implications in both daily life and industrial processes. Recent scientific interest has been paid to the surfaces exhibiting extreme wettability: superhydrophobic and superhydrophilic surfaces, characterized by high water repellency and exceptional water wetting, respectively. Both chemical composition and morphology play a role in the determination of the wettability “performance” of a surface. To tune surface-wetting properties, we considered coatings of carbon nanoparticles (CNPs) in this study. They are a new class of nanomaterials synthesized in flames whose chemistry, dimension, and shape depend on combustion conditions. For the first time, we systematically studied the wettability of CNP coatings produced in a controlled rich ethylene/air flame stabilized over a McKenna burner. A selected substrate was intermittently inserted in the flame at 15 mm above the burner to form a thin coating thanks to a thermophoretic-driven deposition mechanism. The chemical-physical quality and the deposed quantity of the CNPs were varied by opportunely combing the substrate flame insertion number (from 1 to 256) and the carbon-to-oxygen ratio, C/O (from 0.67 to 0.87). The wettability of the coatings was evaluated by measuring the contact angle, CA, with the sessile drop method. When the C/O = 0.67, the CNPs were nearly spherical, smaller than 8 nm, and always generated hydrophilic coatings (CA < 35°). At higher C/O ratios, the CNPs reached dimensions of 100 nm, and fractal shape aggregates were formed. In this case, either hydrophilic (CA < 76°) or superhydrophobic (CA ~166°) behavior was observed, depending on the number of carbon nanoparticles deposed, i.e., film thickness. It is known that wettability is susceptible to liquid surface tension, and therefore, tests were conducted with different fluids to establish a correlation between the flame conditions and the nanostructure of the film. This method offers a fast and simple approach to determining mesoscale information for coating roughness and topographical homogeneity/inhomogeneity of their surfaces.

Overcoming the consequences of crop failures and helping victims of famine in the Penza province in the 1860s-1890s.

Despite the increased scientific interest in the problem of famine and food security in the Russian Empire in recent years, the topic remains poorly studied on the materials of the Penza province. The subject of the study is the main activities of the authorities and the public in the fight against famine and its consequences in the Penza province in the 1860s and 1890s. The purpose of the work is to identify the effectiveness of a system of local measures aimed at overcoming the consequences of crop failures and helping the hungry. The principles of historicism and objectivity, methods of grouping and generalizing statistical information, system, functional and comparative analysis were used as a methodological basis. According to the provisions of the socio-natural theory of E. S. Kulpin-Gubaidullin, the genesis of the crises of society is considered in the relationship and interdependence with the crises of nature. The author's special contribution to the research of the topic is that new information about the causes of crop failures and famine, as well as specific measures taken by the authorities and society to provide assistance to the affected population, has been introduced and analyzed. Based on the analysis of archival and literary sources, the state and public forms of assistance to victims of famine are systematized, the joint contribution of government agencies and zemstvo self-government bodies to overcoming the consequences of crop failures is determined. The main conclusion of the study is that the local security system had limited damage compensation capabilities and needed extraordinary government support. It can be argued that the implementation of local measures together with general imperial ones turned out to be generally effective: mass starvation deaths in the Penza province were not recorded in any of the lean years.

Critical laser frequency for nanofluid pendant droplet evaporation

Droplet evaporation is a complex and fundamental topic that holds great scientific interest due to its relevance in numerous physical and biological processes. We systematically study laser-induced nanofluid droplet evaporation under varying light frequencies. Our findings indicate the existence of two spectral regimes where droplet evaporation is either enhanced or inhibited, which is in stark contrast to the constant regime observed under fixed laser power. The enhanced regime is attributed to the rapid heat transfer initiated by the formation of vapor microbubbles inside the droplet, causing an increase in the overall temperature of the droplet. Conversely, the inhibited regime is associated with reduced heat conduction inside the droplet resulting from localized cooling effects brought about by droplet evaporation. Correlations between heat transfer mechanisms and thermal responses at the droplet surface further support these observations. We also demonstrate that both convective and conductive heat transfers determine the critical light frequency to enhance droplet evaporation. Three light-driven flow patterns are additionally identified inside the droplet. These are photophobic, phototropic, and rolling flows, which are driven by the explosive bubble growth, surface tension gradients, and mass shifts in the droplet center, respectively. Understanding these properties is important for developing miniature evaporators, nanoparticle self-assembly, and various biomedicine applications requiring precise temperature and kinetic control.

Illuminating the Dark Side of Cosmic Star Formation. III. Building the Largest Homogeneous Sample of Radio-selected Dusty Star-forming Galaxies in COSMOS with PhoEBO

In the last decades, an increasing scientific interest has been growing in the elusive population of dark (i.e., lacking an optical/near-IR, hereafter NIR, counterpart) dusty star-forming galaxies (DSFGs). Although extremely promising for their likely contribution to the cosmic star formation rate density (SFRD) and for their possible role in the evolution of the first massive and passive galaxies around z ∼ 3, the difficulty in selecting statistically significant samples of dark DSFGs is limiting their scientific potentialities. This work presents the first panchromatic study of a sample of 263 radio-selected NIR-dark (RS-NIRdark) galaxies discovered in the COSMOS field following the procedure by Talia et al. These sources are selected as radio-bright galaxies (S 3 GHz > 12.65 μJy) with no counterpart in the NIR-selected COSMOS2020 catalog (Ks ≳ 25.5 mag). For these sources, we build a new photometric catalog including accurate photometry from the optical to the radio obtained with a new deblending pipeline (Photometry Extractor for Blended Objects, or PhoEBO). We employ this catalog to estimate the photo-zs and the physical properties of the galaxies through an spectral energy distribution-fitting procedure performed with two different codes (Magphys and Cigale). Finally, we estimate the active galactic nucleus contamination in our sample by performing a series of complementary tests. The high values of the median extinction (A v ∼ 4) and star formation rate (SFR ∼ 500 M ⊙ yr−1) confirm the likely DSFG nature of the RS-NIRdark galaxies. The median photo-z (z ∼ 3) and the presence of a significant tail of high-z candidates (z > 4.5) suggest that these sources are important contributors to the cosmic SFRD and the evolutionary path of galaxies at high redshifts.

Peer Review Statement

All papers published in this volume have been reviewed through processes administered by the Editors.Review criteria:1) Scientific interest of results2) Scientific merit and originality3) Quality and relevance of diagrams, figures, tables and legends4) Bibliography - recent, adequate, correctly cited5) Agreement with templateAll corresponding authors were given the opportunity to resubmit articles after revisions. Reviews were conducted by expert referees to the professional and scientific standards expected of a proceedings journal published by IOP Publishing.Type of peer review: Single anonymousConference submission management system: MorressierNumber of submissions received: 40Number of submissions sent for review: 37Number of submissions accepted: 25Acceptance Rate (Submissions Accepted / Submissions Received × 100): 62,5 %Average number of reviews per paper: 5Total number of reviewers involved: 11Contact person for queries:Name: ALIC Daniela DeliaAffiliation: POLITEHNICA UNIVERSITY TIMISOARA, FACULTY OF ENGINEERING HUNEDOARAEmail: daniela.alic@upt.ro

INTERLEUKIN-11 AND CARDIOVASCULAR PATHOLOGY

Cardiovascular disease (CVD) is a leading cause of morbidity and mortality. An important task in cardiology is the search and study of new biomarkers. Scientific interest is actively focused on the study of interleukin-11 (IL-11). The purpose of the literature review was to analyze experimental and clinical studies devoted to the study of IL-11 as a diagnostic and prognostic marker in CVD. Material and methods. The article provides an overview of current publications. An analysis of literature sources was carried out, including all relevant publications in the databases PubMed, RSCI, MedLine, Google Scholar, Science Direct. Results. In endothelial cells, IL-11 primarily promotes angiogenesis, thereby exerting a beneficial effect on coronary heart disease. IL-11 also promotes vascular remodeling by inducing smooth muscle cell transformation and fibroblast activation. IL-11 may be involved in the onset and progression of pulmonary hypertension through the JAK/STAT3 pathway and aortic dissection processes through the non-classical ERK pathway. Conclusion. The presented literature review indicates the potentially important diagnostic and prognostic value of IL-11 assessment. Regulating the concentration and expression of IL-11 may be a promising strategy for the treatment of CVD.

Social Studies Learning Disciplinary Strategies in Elementary Schools

The purpose of writing this article is to understand the description of social studies learning discipline and strategies for creating social studies learning discipline in the school environment. The method used in this research is descriptive qualitative. Data was collected through interviews, observations and conclusions. Meanwhile, data analysis is carried out by reduction, interpretation and drawing conclusions. The research results show that in implementing social studies discipline learning strategies at SDN 1 Tonroge Sidrap, what is effective is not only about providing knowledge, but also creating learning experiences that are motivating and relevant for children. With a creative and engaging approach, we can help form a solid foundation for students' understanding and interest in Social Sciences

Innovations and methodologies in research on problematic issues of drug supply

Introduction. Increasing the efficiency of research in the field of organizing drug supply to the population is a priority task of pharmaceutical science. The study of the structure of scientific knowledge seems to be a relevant direction for its development. However, a methodological analysis of scientific works on the problems of drug supply has not previously been carried out as an independent study. Purpose of the study: analysis of theoretical and methodological solutions in scientific works on the problems of drug supply. Material and methods. Using the PICO tool, we formed an array of 61 dissertations defended in the period from 1991 to the present, on the problems of drug supply. The resulting array was studied using the methods of content analysis, grouping, graphical, comparative and scientometric analysis. Results and discussion. It was found that during the study period, 34 types of innovations were used with a total frequency of their use in 53 cases. The average number of innovation types used was 2.97 per study. In total, scientists used 53 types of methodologies, of which 14 types were directly related to the field of drug supply. 226 cases of using various types of methodologies were identified, with the average number of their use per study being 3.68. The analyzed array contains 81 names of methods and groups of methods. The total frequency of their use was 531 cases, and the average number of methods per 1 dissertation was 8.69. In works on the problems of drug supply, 242 names of scientists and predecessors of the dissertation candidates were mentioned. 313 cases of their mention were identified, which amounted to an average of 5 names per dissertation. As a result, a methodological profile of scientific research on the problems of drug supply was formed using four analytical blocks. Conclusion. Data were obtained on the constant scientific interest of scientists in problematic issues of improving the drug supply system. The presence of reserves for expanding the boundaries of the scientific field of pharmaceutical science has been established.

Potentially Massive and Global Non-Pyrogenic Production of Condensed "Black" Carbon through Biomass Oxidation.

With the increased occurrences of wildfires worldwide, there has been an increase in scientific interest surrounding the chemistry of fire-derived "black" carbon (BC). Traditionally, wildfire research has assumed that condensed aromatic carbon (ConAC) is exclusively produced via combustion, and thus, ConAC is equated to BC. However, the lack of correlations between ConAC in soils or rivers and wildfire history suggests that ConAC may be produced non-pyrogenically. Here, we show quantitative evidence that this occurs during the oxidation of biomass with environmentally ubiquitous hydroxyl radicals. Pine wood boards exposed to iron nails and natural weather conditions for 12 years yielded a charcoal-like ConAC-rich material. ConAC was also produced during laboratory oxidations of pine, maple, and brown-rotted oak woods, as well as algae, corn root, and tree bark. Back-of-the-envelope calculations suggest that biomass oxidation could be producing massive non-pyrogenic ConAC fluxes to terrestrial and aquatic environments. These estimates (e.g., 163-182 Tg-ConAC/year to soils) are much higher than the estimated pyrogenic "BC" fluxes (e.g., 128 Tg-ConAC/year to soils) implying that environmental ConAC is primarily non-pyrogenic. This novel perspective suggests that wildfire research trajectories should shift to assessing non-pyrogenic ConAC sources and fluxes, developing new methods for quantifying true BC, and establishing a new view of ConAC as an intermediate species in the biogeochemical processing of biomass during soil humification, aquatic photochemistry, microbial degradation, or mineral-organic matter interactions. We also advise against using BC or pyrogenic carbon (pyC) terminologies for ConAC measured in environmental matrices, unless a pyrogenic source can be confidently assigned.

Thiols Modulated Gold Nanorods Self-Assembly: Indirect Hydrophobic Effects Instead of Direct Electrostatic/Hydrogen Bonds Attraction.

For nanocrystals (NCs) self-assembly, understanding the chemical and supramolecular interactions among building blocks is significant for both fundamental scientific interests and rational nanosuperstructure construction. However, it has remained an extreme challenge for many self-assembly systems due to the lack of appropriately quantitative approaches for the corresponding exploration. Herein, by combination of the proposed colorimetric method for cationic surfactant quantitation and all-atom simulations, we manage to present a clear chemical picture for the thiol molecules modulated self-assembly of gold nanorods (GNRs), one of the earliest and most convenient methods for the fabrication of freestanding GNR self-assemblies. It is revealed that the self-assembly of GNRs is driven by the hydrophobic effects of the alkyl chains of the modified cationic surfactants, as their bilayer structure is destroyed by the added thiol molecules. In other words, the actual roles of the thiol molecules for causing GNRs assembly are indirectly inductive effects instead of the previously believed direct electrostatic attraction and/or hydrogen-bond linking effects of the binding thiol molecules. Furthermore, the GNRs exhibit diameter-dependent assembly behaviors: thicker GNRs tend to adopt the end-to-end assembly mode, while thin ones prefer the side-by-side assembly mode, further demonstrating that hydrophobic effects among the build blocks are the driving force for the GNRs assembly.

Cognitive-matrix analysis of research on primary health care development in the Russian Federation for the period from 2012 to 2022

The distribution of publications posted in the Elibrary for the period from January 1, 2012 to December 31, 2022, in the structure of a cognitive matrix of taxonomic characteristics for the analysis and assessment of primary health care in the Russian Federation made it possible to establish areas of scientific interest and identify gaps in specific areas and indicators characterizing its current and future development.Aim. To distribute scientific publications according to the relevant segments of the cognitive matrix of taxonomic characteristics for the analysis and assessment of primary health care in the Russian Federation.Material and methods. A database of 41824 publications was used, for which a triple review was carried out with the involvement of 9 experts selected according to appropriate criteria for level of education, work experience in the healthcare system, and academic credentials. At the first two stages, publications not related to primary health care, as well as duplicate publications, were excluded. At the final stage of reviewing, a selective analysis of publications was carried out, assessing the correctness of their distribution into the corresponding taxa of the cognitive matrix, followed by adjustment (if necessary).Results. A cognitive matrix of taxonomic characteristics has been generated for the analysis and assessment of primary health care in the Russian Federation, containing 30339 publications distributed across relevant domains, subdomains and primary health care indicators. The matrix is also presented in a heat map format, allowing an assessment of the most studied taxa of primary health care, as well as highlighting those areas in primary health care in which more research should be carried out to provide a basis and methodology for making informed decisions on its development.Conclusion. Systematized and ordered publications can serve as a basis for a wide range of users in the preparation of systematic reviews and other publications on specific domains, subdomains, primary health care indicators and universal health coverage principles. This study has shown the high efficiency of the cognitive matrix of taxonomic characteristics as a unified tool for aggregation or decomposition of features characterizing the development of primary health care in the Russian Federation.

A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application. In this paper, a novel algorithm introduces a self-localization algorithm for mobile targets using the wake-up media access control (MAC) protocol. The developed tracking application is based on the trilateration technique with received signal strength indication (RSSI) measurements. Simulations are implemented in the objective modular network testbed in C++ (OMNeT++) discrete event simulator using the C++ programming language, and the RSSI values introduced are based on real indoor measurements. In addition, a determination approach for finding the optimal parameters of RSSI is assigned to implement for the simulation parameters. Simulation results show a significant reduction in power consumption and exceptional accuracy, with an average error of 1.91 m in 90% of cases. This method allows the optimization of overall energy consumption, which consumes only 2.69% during the localization of 100 different positions.

МЕТОДОЛОГІЧНІ АСПЕКТИ ДОСЛІДЖЕННЯ МЕТАКОГНІТИВНОГО КОНТРОЛЮ СТУДЕНТІВ НАЦІОНАЛЬНОЇ БЕЗПЕКИ В КОНТЕКСТІ САМОРЕГУЛЬОВАНОГО НАВЧАННЯ

This article presents an analysis of the main theoretical and methodological foundations for researching metacognitive control among students specializing in National Security within the context of self-regulated learning. It highlights the growing interest in psychological science regarding the problem of self-regulated learning effectiveness and the researchers' desire to develop functioning tools for assessing learning strategies. Based on classical postulates about methodology as a system of principles and methods for organizing and constructing theoretical and practical activities, the article analyzes theoretical models, characteristics, and components of self-regulated learning and the place of metacognitive control within this system. It considers Pintrich's theoretical model of self-regulated learning, which studies self-regulation of learning, particularly metacognitive control, across four spheres: cognitive, motivational-emotional, behavioral, and contextual. The latter distinguishes this model from others, as it includes the contextual area as a subject of self-regulation. Special attention is given to analyzing key elements of metacognitive control – learning strategies that can significantly enhance the chances of successful and effective learning. It is found that learning strategies relate to the effective selection and organization of information, efficient repetition of material with subsequent assimilation, establishing connections between new information and information already stored in memory, understanding, monitoring, and continuously enhancing the meaningfulness of the material. It is noted that an important aspect of the interconnection between learning strategies and metacognitive abilities is the effective management of resources, not necessarily related to cognitive activity – time management, managing the learning environment, group learning, and seeking feedback. The third level of methodology discusses a set of specific techniques and technical research approaches for investigating metacognitive control in students of higher education institutions specializing in “National Security”: LASSI, Weinstein, Schulte, Palmer, 1987. The conclusion is drawn that self-regulated learning (and thus, the ability to apply metacognitive control) characterizes students as actively engaged in the learning process: they maintain their motivation, are aware of their thinking processes, and know how to use a wide range of strategies to achieve desired academic outcomes. The article identifies the main methodological problems associated with the empirical study of the effectiveness of self-regulated learning: using different tools to study cognitive, metacognitive, and motivational aspects of self-regulated learning, which separately does not consider its regulatory nature; the need to increase students' awareness of the characteristics of self-regulated learning and the use of learning strategies for accurate self-reports and self-assessment of these processes; since SRL is a specific, not a general process, differences in research results can be observed depending on the context or situation.

Interpreting protein abundance in Saccharomyces cerevisiae through relational learning.

Proteomic profiles reflect the functional readout of the physiological state of an organism. An increased understanding of what controls and defines protein abundances is of high scientific interest. Saccharomyces cerevisiae is a well-studied model organism, and there is a large amount of structured knowledge on yeast systems biology in databases such as the Saccharomyces Genome Database, and highly curated genome-scale metabolic models like Yeast8. These datasets, the result of decades of experiments, are abundant in information, and adhere to semantically meaningful ontologies. By representing this knowledge in an expressive Datalog database we generated data descriptors using relational learning that, when combined with supervised machine learning, enables us to predict protein abundances in an explainable manner. We learnt predictive relationships between protein abundances, function and phenotype; such as α-amino acid accumulations and deviations in chronological lifespan. We further demonstrate the power of this methodology on the proteins His4 and Ilv2, connecting qualitative biological concepts to quantified abundances. All data and processing scripts are available at the following Github repository: https://github.com/DanielBrunnsaker/ProtPredict.

Low-Temperature Calcium Phosphate Ceramics Can Modulate Monocytes and Macrophages Inflammatory Response In Vitro.

Creating bioactive materials for bone tissue regeneration and augmentation remains a pertinent challenge. One of the most promising and rapidly advancing approaches involves the use of low-temperature ceramics that closely mimic the natural composition of the extracellular matrix of native bone tissue, such as Hydroxyapatite (HAp) and its phase precursors (Dicalcium Phosphate Dihydrate-DCPD, Octacalcium Phosphate-OCP, etc.). However, despite significant scientific interest, the current knowledge and understanding remain limited regarding the impact of these ceramics not only on reparative histogenesis processes but also on the immunostimulation and initiation of local aseptic inflammation leading to material rejection. Using the stable cell models of monocyte-like (THP-1ATRA) and macrophage-like (THP-1PMA) cells under the conditions of LPS-induced model inflammation in vitro, the influence of DCPD, OCP, and HAp on cell viability, ROS and intracellular NO production, phagocytosis, and the secretion of pro-inflammatory cytokines was assessed. The results demonstrate that all investigated ceramic particles exhibit biological activity toward human macrophage and monocyte cells in vitro, potentially providing conditions necessary for bone tissue restoration/regeneration in the peri-implant environment in vivo. Among the studied ceramics, DCPD appears to be the most preferable for implantation in patients with latent inflammation or unpredictable immune status, as this ceramic had the most favorable overall impact on the investigated cellular models.

Quantum Gas-Enabled Direct Mapping of Active Current Density in Percolating Networks of Nanowires.

Electrically percolating nanowire networks are among the most promising candidates for next-generation transparent electrodes. Scientific interest in these materials stems from their intrinsic current distribution heterogeneity, leading to phenomena like percolating pathway rerouting and localized self-heating, which can cause irreversible damage. Without an experimental technique to resolve the current distribution and an underpinning nonlinear percolation model, one relies on empirical rules and safety factors to engineer materials. We introduce Bose-Einstein condensate microscopy to address the longstanding problem of imaging active current flow in 2D materials. We report on performance improvement of this technique whereby observation of dynamic redistribution of current pathways becomes feasible. We show how this, combined with existing thermal imaging methods, eliminates the need for assumptions between electrical and thermal properties. This will enable testing and modeling individual junction behavior and hot-spot formation. Investigating both reversible and irreversible mechanisms will contribute to improved performance and reliability of devices.