Single Integration Research Articles

Impact of Curcumin on the IL-17A-Mediated p53-Fibrinolytic System: Mouse Proteomics and Integrated Human Fibrosis scRNAseq Insights.

Acute lung injury (ALI) is primarily driven by an intense inflammation in the alveolar epithelium. Key to this is the pro-inflammatory cytokine, Interleukin 17 (IL-17), which influences pulmonary immunity and modifies p53 function. The direct role of IL-17A in p53-fibrinolytic system is still unclear, it is important to evaluate this mechanism to regulate the ALI progression to idiopathic pulmonary fibrosis (IPF). C57BL/6 mice, exposed to recombinant IL-17A protein and treated with curcumin, provided insight into IL-17A mechanisms and curcumin's potential for modulating early pulmonary fibrosis stages. A diverse methodology, including proteomics, single-cell RNA sequencing (scRNA-seq) integration, molecular, and Schroedinger approach were utilized. In silico approaches facilitated the potential interactions between curcumin, IL-17A, and apoptosis-related proteins. A notable surge in the expression levels of IL-17A, p53, and fibrinolytic components such as Plasminogen Activator Inhibitor-1 (PAI-I) was discerned upon the IL17A exposure in mouse lungs. Furthermore, the enrichment of pathways and differential expression of proteins underscored the significance of IL-17A in governing downstream regulatory pathways such as inflammation, NF-kappaB signaling, Mitogen-Activated Protein Kinases (MAPK), p53, oxidative phosphorylation, JAK-STAT, and apoptosis. The integration of scRNA-seq data from 20 IPF and 10 control lung specimens emphasized the importance of IL-17A mediated downstream regulation in PF patients. A potent immuno-pharmacotherapeutic agent, curcumin, demonstrated a substantial capacity to modulate the lung pathology and molecular changes induced by IL-17A in mouse lungs. Human IPF single cell data integration confirmed the effects of IL-17A mediated fibrinolytic components in ALI to IPF progression.

Comprehensive Examination of Cross-Platform Single Sign-on Integration in Azure: A Technical Analysis

Comprehensive Examination of Cross-Platform Single Sign-on Integration in Azure: A Technical Analysis

OPPORTUNITIES AND CHALLENGES IN THE DEVELOPMENT OF TRADE AND ECONOMIC RELATIONS BETWEEN ARMENIA AND CHINA

Throughout their economic and political histories, Armenia and China have pursued different paths in alignment with their respective regional and integration objectives. Despite lacking a common border and not being part of a single integration bloc, these countries have managed to establish and cultivate dynamic trade and economic relations. The evolution of ties with China is significantly influenced by the global One Belt One Road initiative, with numerous countries seeking to engage with this ambitious project. Armenia is no exception, and this article explores the trade and economic interactions between Armenia and China, addressing both the challenges and potential development scenarios.

Erlangization/Canadization of Phase-Type Jump Diffusions, with Applications to Barrier Options

For a jump diffusion with upward phase-type jumps with p phases, the maximum before an independent Erlang time eηq\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$e^q_\\eta$$\\end{document} with q stages and rate parameter η\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\eta$$\\end{document} is again phase-type with q(p+1)\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$q(p+1)$$\\end{document} phases. An iterative scheme for computing the phase generator is presented and applied to representing the price of a barrier option with time horizon eηq\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$e^q_\\eta$$\\end{document} as a single ordinary integral. Canadization then means to approximate a fixed horizon T with an eηq\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$e^q_\\eta$$\\end{document} satisying Eeηq=T\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mathbb {E}}e^q_\\eta =T$$\\end{document} for a sufficiently large q. Similar results holds for Greeks like the delta and the gamma. A numerical example is given for a down-and-in call option and the Canadization is combined with Richardson extrapolation. Finally, a recursion is developed that only requires the iteration to be performed in p+1\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$p+1$$\\end{document} dimensions.

Soybean seed pest damage detection method based on spatial frequency domain imaging combined with RL-SVM

Soybean seeds are susceptible to damage from the Riptortus pedestris, which is a significant factor affecting the quality of soybean seeds. Currently, manual screening methods for soybean seeds are limited to visual inspection, making it difficult to identify seeds that are phenotypically defect-free but have been punctured by stink bugs on the sub-surface. To facilitate the convenient and efficient identification of healthy soybean seeds, this paper proposes a soybean seed pest detection method based on spatial frequency domain imaging combined with RL-SVM. Firstly, soybean optical data is obtained using single integration sphere technique, and the vigor index of soybean seeds is obtained through germination experiments. Then, based on the above two data items using feature extraction algorithms (the successive projections algorithm and the competitive adaptive reweighted sampling algorithm), the characteristic wavelengths of soybeans are identified. Subsequently, the spatial frequency domain imaging technique is used to obtain the sub-surface images of soybean seeds in a forward manner, and the optical coefficients such as the reduced scattering coefficient μ′s\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${{\\mu }{\\prime}}_{s}$$\\end{document} and absorption coefficient μa\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mu }_{a}$$\\end{document} of soybean seeds are inverted. Finally, RL-MLR, RL-GRNN, and RL-SVM prediction models are established based on the ratio of the area of insect-damaged sub-surface to the entire seed, soybean varieties, and μa\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mu }_{a}$$\\end{document} at three wavelengths (502 nm, 813 nm, and 712 nm) for predicting and identifying soybean the stinging and sucking pest damage levels of soybean seeds. The experimental results show that the spatial frequency domain imaging technique yields small errors in the optical coefficients of soybean seeds, with errors of less than 15% for μa\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${\\mu }_{a}$$\\end{document} and less than 10% for μ′s\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$${{\\mu }{\\prime}}_{s}$$\\end{document}. After parameter adjustment through reinforcement learning, the Macro-Recall metrics of each model have improved by 10%-15%, and the RL-SVM model achieves a high Macro-Recall value of 0.9635 for classifying the pest damage levels of soybean seeds.

Natural and Engineered Guide RNA-Directed Transposition with CRISPR-Associated Tn7-Like Transposons.

CRISPR-Cas (clustered regularly interspaced short palindromic repeats-CRISPR-associated nuclease) defense systems have been naturally coopted for guide RNA-directed transposition on multiple occasions. In all cases, cooption occurred with diverse elements related to the bacterial transposon Tn7. Tn7 tightly controls transposition; the transposase is activated only when special targets are recognized by dedicated target-site selection proteins. Tn7 and the Tn7-like elements that coopted CRISPR-Cas systems evolved complementary targeting pathways: one that recognizes a highly conserved site in the chromosome and a second pathway that targets mobile plasmids capable of cell-to-cell transfer. Tn7 and Tn7-like elements deliver a single integration into the site they recognize and also control the orientation of the integration event, providing future potential for use as programmable gene-integration tools. Early work has shown that guide RNA-directed transposition systems can be adapted to diverse hosts, even within microbial communities, suggesting great potential for engineering these systems as powerful gene-editing tools.

New implicit time integration schemes combining high frequency damping with high second order accuracy

It is shown that weighted linear combinations of the generalised-α method and certain related higher order schemes allow for the formulation of unconditionally stable single step time integration methods with improved second order accuracy and more targeted high-frequency damping. It is also shown that, if the user controlled high frequency damping parameter ρ∞ is set to zero, the new schemes can be expressed as linear multistep backward difference formulae and, in a particular case, recover Park's method. The performance of the proposed methods is illustrated in terms of mathematical analysis and a number of linear and nonlinear numerical examples including finite element based solutions of the incompressible Navier-Stokes equations.

Research on the Problems and Strategies of the Integrated Development of Provincial Radio and Television Media

Driven by the information society and network technology, the media landscape is facing a profound transformation, and the rise of new media has reshaped the media ecology. In the face of the information dissemination reform in the new media era, media convergence has become the key path for radio and television media to cope with challenges and achieve transformation. However, in the practice of integrated development, provincial radio and television media have encountered many challenges, such as lagging brand building, insufficient content innovation, single profit model and technical integration problems. These factors have seriously restricted its transformation and upgrading in the new media environment. Through the in-depth discussion of the integration path of provincial radio and television media, this paper aims to reveal its common problems on the road of integration, and put forward targeted countermeasures and suggestions, so as to provide theoretical guidance and solution path for the practice of provincial radio and television media in media integration, and promote its sustainable development and competitiveness in the new media environment.

On a fractional derivative operator with a singular kernel: definition, properties and numerical simulation

This paper is concerned with proposing a novel nonlocal fractional derivative operator with a singular kernel. We considered a fractional integral operator as a single integral of convolution type combined with a Mittag-Leffler kernel of Prabhakar type. The proposed singular fractional derivative operator is formulated as a proper inverse of the considered integral operator. We provided some useful features and relationships of the proposed derivative and introduced comparisons with the Caputo derivative which can be utilized for potential applications. Next, we presented numerical solutions for some nonlinear fractional order models incorporating the proposed derivative using a numerical algorithm developed in this paper. As a case study, we discussed the dynamic behavior of a fractional logistic model with the proposed derivative.

DESIGNING THE MARKETING EDUCATIONAL PROGRAM

Introduction. The integration of Ukraine into the European spaces of higher education is designed to change national higher education and educational programs. Adequate design of educational programs in universities will contribute to the real implementation of the competence approach; transition from subject-centeredness to student-centeredness; ensuring comprehensibility and comparability of learning outcomes and creating a reliable basis for global and European integration. The purpose of the article. The purpose of the article is to clarify the requirements for the formation of competencies and learning outcomes as the main categories of the educational program in accordance with European standards. Metods. A systematic analysis of the concept of student-centered learning, the main categories of which are general and professional competences, made it possible to investigate the process of designing the Marketing educational program. With the help of analysis and synthesis, the program learning outcomes for the Marketing program are divided into elements, where each is analyzed separately with their subsequent combination into a single concrete integrity. Results The formation of a high-quality OP requires taking into account external and internal factors of ensuring its quality and developing a system for evaluating the quality of the educational program with the aim of improving it. First of all, the Standard of Higher Education of Ukraine in specialty 075 Marketing for the first level of higher education needs improvement. Also, it is important to check the OP's compliance with the basic conditions, the value of the program from an academic point of view, taking into account the university's resources.

Traditional Music of Kazakhstan in the Second Half of the 20th Century: Using the Example of Folk Song Art in the Northern Region of Kazakhstan

The historical development of folk music lays the foundations for modern compositions, the study of previous experience can help to qualitatively develop the modern musical sphere, emphasizing the uniqueness of traditional art. The main purpose of this study is to identify and analyse the characteristic features of the music of Kazakhstan, as well as to generalize the available knowledge. In the presented work, archive materials of several ethnographic expeditions of the folklore laboratory Kurmangazy Kazakh National Conservatory in the Torgai-Kostanay region, made from 1975 to 1989, are considered. It is taken into account that many widespread traditional musical cultures, representing a single integral, within themselves will have several ramifications. In this regard, Kazakh traditional music is not an isolated case, as it is currently divided into the following folk-professional schools: Sary-Arka, Jetysu, Kyzylorda and Western Kazakhstan. The name of each listed tradition is associated with territorial identification. For several years in Kazakhstani musicology, up to the present day, many researchers have been engaged in the study of the above-mentioned regional traditions. The works of the second half of the XX century were analysed, as well as the main differences and aspects of music writing. The paper identifies the influence of the main factors that contributed to the creation of the works, as well as a generalized analysis of the composers’ stylization. The study will provide a better understanding of the features and aspects of musical folklore, which helps to popularize and raise awareness of the subject.

Multi-feature next-generation liquid biopsy for diagnosis and prognosis in HPV-associated head and neck cancer.

6064 Background: Human papillomavirus-associated head and neck squamous cell carcinoma (HPV+HNSCC) releases circulating tumor HPV DNA (ctHPVDNA) into the blood which is a highly accurate biomarker of disease status. Existing approaches based on droplet digital PCR (ddPCR) have limitations in sensitivity, genotype coverage, and do not annotate additional prognostic genomic features. In this study, we tested the diagnostic and prognostic performance of a custom HPV whole-genome next-generation sequencing (NGS) liquid biopsy, termed HPV-DeepSeek, at the time of diagnosis with HPV+HNSCC, compared to ctHPVDNA ddPCR, HPV serology, and clinical work-up. Methods: 304 participants (152 untreated HPV+HNSCC patients, 152 population-level controls) were prospectively enrolled in this single-center prospective cohort study. Plasma samples were analyzed using HPV-DeepSeek, a multiplexed serology assay, single-plex ddPCR, and a 5-genotype multiplexed ddPCR assay. We tested the hypothesis that HPV-DeepSeek would have the highest diagnostic accuracy. We secondarily examined the accuracy of HPV-DeepSeek for prognostic feature annotation including high-risk HPV16 single nucleotide polymorphisms (SNPs), integration events, and PIK3CA mutations. Results: Of 152 cases, 114 (75%) were AJCC stage 1 and 138/152 (91%) were oropharynx primary site cancers. The sensitivity (98.7%), specificity (98.7%), and diagnostic accuracy (0.974) of HPV-DeepSeek was superior (P<0.001) to singleplex ddPCR (94.2%, 98.6%, 0.928), multiplex ddPCR (90.6%, 96.3%, 0.869), HPV serology (86.4%, 96.3%, 0.827), and first attempt clinical diagnostic biopsy (78% sensitive). Utilizing HPV-DeepSeek, 8 different genotypes were detected. 4 patients were found to have multi-genotype infections. 137/152 cases were classified as HPV16, with A1 the most common sub-lineage (90/137). 21 of 137 HPV+HNSCC HPV16 cases (15%) displayed high risk SNPs. Head-to-head comparison of HPV SNP genotyping by HPV-DeepSeek, with the gold-standard tissue-based HPV whole genome sequencing assay, demonstrated 89% concordance in tissue and 85% in blood. The internal concordance rate for HPV-DeepSeek between tissue and blood was 91%. 48 of 152 cases (32%) had at least one viral integration event detected and 36 of 152 cases (24%) had a PIK3CA mutation detected by HPV-DeepSeek. Fragmentomic analysis demonstrated a mean ctHPVDNA fragment size of 148bp for ctHPVDNA versus 167bp for human cell free (cf)DNA from HPV+HNSCC patients and 168bp for control patient cfDNA. Baseline ctHPVDNA quantity was strongly correlated with viral integration status, T stage and N stage (P<0.001). Conclusions: HPV-DeepSeek has improved diagnostic accuracy relative to ddPCR, HPV serology and clinical work-up at the time of diagnosis and demonstrates detection of prognostic features including high-risk HPV16 SNPs, viral integration events, and PIK3CA mutations.

On‐line machine‐learning forecast uncertainty estimation for sequential data assimilation

AbstractQuantifying forecast uncertainty is a key aspect of state‐of‐the‐art numerical weather prediction and data assimilation systems. Ensemble‐based data assimilation systems incorporate state‐dependent uncertainty quantification based on multiple model integrations. However, this approach is demanding in terms of computations and development. In this work, a machine‐learning method is presented based on convolutional neural networks that estimates the state‐dependent forecast uncertainty represented by the forecast error covariance matrix using a single dynamical model integration. This is achieved by the use of a loss function that takes into account the fact that the forecast errors are heteroscedastic. The performance of this approach is examined within a hybrid data assimilation method that combines a Kalman‐like analysis update and the machine‐learning‐based estimation of a state‐dependent forecast error covariance matrix. Observing system simulation experiments are conducted using the Lorenz'96 model as a proof‐of‐concept. The promising results show that the machine‐learning method is able to predict precise values of the forecast covariance matrix in relatively high‐dimensional states. Moreover, the hybrid data assimilation method shows similar performance to the ensemble Kalman filter, outperforming it when the ensembles are relatively small.

Configurational entropy of ice XIX and its isotope effect

Ice XIX is a partly hydrogen-ordered polymorph related to disordered ice VI, similar to ice XV. We here investigate the order–order–disorder sequence ice XIX→ice XV→ice VI based on calorimetry at ambient pressure both for D2O and H2O-ice XIX. From these data we extract configurational entropy differences between ice XIX, ice XV and ice VI. This task is complex because, unlike for all other ices, the order–disorder transition from ice XIX to ice VI takes place in two steps via ice XV. Even more challenging, these two steps take place in an overlapping manner, so that careful separation of slow kinetics is necessary. This is evidenced best by changing the heating rate in calorimetry experiments: For fast heating experiments the second step, disordering of ice XV, is suppressed because the first step, formation of ice XV from ice XIX, is too slow. The transient state ice VI‡ that is initially produced upon ice XIX decay then does not have enough time to convert to ice XV, but remains disordered all along. In order to tackle the challenge to determine the entropy difference between ice XIX and VI as well as the entropy difference between ice XV and VI we employ two different approaches that allow assessing the impact of kinetics on the entropy change. “Single peak integration” defines a kinetically limited result, but “combined peak integration” allows estimation of the true thermodynamic values. Our best estimate for the true value shows ice XIX to be much more ordered than ice XV (25 ± 3% vs 9 ± 4% of the Pauling entropy). For D2Oice XIX samples we obtain 28% of order, but only when a small number of fast H-isotope defects are used. In the second part we use these results to estimate the location of the ice XIX phase boundary both for protiated and deuterated ice XIX. The initial Clapeyron slope at ambient pressure is determined from the combination of neutron powder diffraction volume differences and calorimetry entropy differences data to be 21 K GPa−1 with an order–disorder transition temperature To-d(0.0 GPa) = 103 ± 1 K. An in situ bracketing experiment at 1.8 GPa yields To-d(1.8 GPa) = 116 ± 3 K, i.e., the phase boundary slope flattens at higher pressures. These data allow us to determine the region of thermodynamic stability of ice XIX in the phase diagram and to explain the surprising isotope shift reversal at 1.6 GPa compared to 0.0 GPa, i.e., why D2O-ice XIX disorders at lower temperatures than H2O-ice XIX at 1.6 GPa, but at higher temperatures at ambient pressures.

Asymptotically consistent and computationally efficient modeling of short-ranged molecular interactions between curved slender fibers undergoing large 3D deformations

This article proposes a novel computational modeling approach for short-ranged molecular interactions between curved slender fibers undergoing large 3D deformations, and gives a detailed overview how it fits into the framework of existing fiber or beam interaction models, either considering microscale molecular or macroscale contact effects. The direct evaluation of a molecular interaction potential between two general bodies in 3D space would require to integrate molecule densities over two 3D volumes, leading to a sixfold integral to be solved numerically. By exploiting the short-range nature of the considered class of interaction potentials as well as the fundamental kinematic assumption of undeformable fiber cross-sections, as typically applied in mechanical beam theories, a recently derived, closed-form analytical solution is applied for the interaction potential between a given section of the first fiber (slave beam) and the entire second fiber (master beam), whose geometry is linearly expanded at the point with smallest distance to the given slave beam section. This novel approach based on a pre-defined section–beam interaction potential (SBIP) requires only one single integration step along the slave beam length to be performed numerically. In addition to significant gains in computational efficiency, the total beam–beam interaction potential resulting from this approach is shown to exhibit an asymptotically consistent angular and distance scaling behavior. Critically for the numerical solution scheme, a regularization of the interaction potential in the zero-separation limit as well as the finite element discretization of the interacting fibers, modeled by the geometrically exact beam theory, are presented. In addition to elementary two-fiber systems, carefully chosen to verify accuracy and asymptotic consistence of the proposed SBIP approach, a potential practical application in form of adhesive nanofiber-grafted surfaces is studied. Involving a large number of helicoidal fibers undergoing large 3D deformations, arbitrary mutual fiber orientations as well as frequent local fiber pull-off and snap-into-contact events, this example demonstrates the robustness and computational efficiency of the new approach.

Robust and Expedited Methodologies for Resolving Radiation View Factors

The effects of mesh refinement using the distmesh2d algorithm and gaussian integration on the numerical accuracy of the Double Area Integration (DAI) and Single Area Integration (SAI) numerical methods for evaluating the view factor between two surfaces were studied. It was determined that SAI presents an advantage in eliminating the need for mesh refinement of the receiving surface. Gaussian integration proved to dramatically increase numerical accuracy by, in some cases, five orders of magnitude. These results were applied to the evaluation of view factors for the hot shoe array within a General Purpose Heat Source RTG. It was found that the top and bottom rows are dramatically worse-performing than the remaining rows and that the columns facing the corner of the fuel stack have significantly lower view factors than the others.

A novel NIR-II FL/ PA imaging-guided synergistic photothermal-immune therapy: Biomineralizing nanosystems integrated with anti-tumor and bone repair

Advanced stages of breast cancer are frequently complicated by bone metastases, which cause significant cancer-related bone destruction and mortality. However, the early precise theranostics of bone metastasis remains a formidable challenge in clinical practice. Herein,a novel all-in-one nanotheranostic system (ABI NYs) combining NIR-II FL/PA dual-modal imaging with photothermal-immunity therapeutic functionalities in one component was designed to precisely localize bone metastasis microscopic lesions and achieve complete tumor ablation at an early stage. The surface modification of the nanosystem with ibandronate (IBN) facilitates both passive and active targeting, significantly improving the detection rate of bone metastasis and suppressing the bone resorption. Superior photothermal performance produces sufficient heat to kill tumor cells while stimulating the upregulation of heat shock proteins 70 (HSP70), which triggers the immunogenic cell death (ICD) effect and the anti-tumor immune response. These all-in-one nanosystems precisely demonstrated early lesion localization in bone metastases and total tumor ablation with a single integration via “one-component, multi-functions” technique. To sum up, ABI NYs, as novel biomineralizing nanosystems integrated with anti-tumor and bone repair, present a synergistic therapy strategy, providing insight into the theranostics of bone metastases and clinical research.

Influence of China’s Lighting Industry on Urban Nighttime Tourism Economic Development: Based on Co-Integration Test and Granger Causality Test

With the upgrading of residents’ consumption and the diversification of the consumption structure, China’s urban night-time tour economy has developed rapidly and become a new bright spot of urban development. As an important constituent part of urban night landscapes, the lighting industry is closely related to the development of nighttime tour economy. To further explore the influence of the lighting industry on urban night-time tour economy, the short-term and long-term cointegration relationship between the lighting industry and urban night-time tour economy was analysed by the cointegration test, and the causal relationship between the two was explored through the Granger causality test. The ADF unit root test revealed that the lighting industry and urban night-time tour belonged to second-order single integration; the Johansen cointegration test exhibited a co-integration relationship between the lighting industrial and urban night-time tour; the regression coefficient of the lighting industry (independent variable) was 0.788, showing a significance level of 0.01 (t=22.470, P=0.000<0.01); the error correction coefficient was –0.489, showing a significance level of 0.01 (t= –3.912, P=0.001<0.01). When the short-term fluctuation of the night-time tour economy deviated from the long-term equilibrium, the lighting industry would pull the night-time tour economy from an unbalanced state back to an equilibrium state with the adjustment power of –0.489. The lighting industry was only the one-way Granger result of urban night-time tour. The research results have important reference value for figuring out how China’s lighting industry can promote the development of urban night-time tour economy, guiding it to achieve high-quality development, and enhancing the strong support from the lighting industry for development of night-time tour economy.

A New Framework for Active Loss Reduction and Voltage Profile Enhancement in a Distributed Generation-Dominated Radial Distribution Network

In recent times, a significant amount of power loss and system instability due to high voltage deviation experienced by modern power systems, in addition to the pressing issues challenging the power industry such as pollution—especially the emission of greenhouse gases—and aging infrastructures, have posed a serious threat to system operations. Distributed generation has been identified as one main solution capable of reducing pollution when solar and wind power are used and, hence, rejuvenating dilapidated infrastructures and redeeming climatic changes. This paper presents a novel two-stage approach for the identification of suitable locations for DG placement and the sizing of DG for loss reduction and voltage stability enhancement. The first stage explored the use of a network structure to develop a coupling factor (CF) approach that was non-iterative in nature to determine suitable DG locations. In the second stage, the size of the DG was determined using the particle swarm optimization (PSO) algorithm. The main objective was to obtain an optimal voltage profile of the system under consideration while lowering the power loss in the system and ensuring network stability amidst DG incorporation. The model design, optimization and simulation were carried out using the MATLAB 2016a environment and the IEEE 33-bus test system, in which DG was integrated. The influence of increasing the level of DG placement in the system was then investigated. The forward/backward sweep method was applied to monitor the optimization process. The voltage profiles for both the base case when no DG was integrated and the case of incremental DG integration were considered. The results obtained for both single and multiple DG integration are compared with those obtained using the existing methods. The results show the efficiency and applicability of the new non-iterative scheme in the quick identification of DG locations for voltage profile enhancement and network real power loss reduction in radial distribution networks.

Identity in the context of globalization

Relevance. The article focuses on the issue of preserving national identity. Purpose. The concept of identity, which takes place in the context of globalization, first of all considers the fundamental role of cultural identity, which forms an independent identity, that is, a stable understanding of a person as a member of society and a sense of identity of the people, allowing him to find his own place in the interethnic space. Methodology. The main element of each national identity is a single semantic integrity or cultural identity, which is perceived as a characteristic of the nation. Results. In this article, the authors come to the conclusion that semantic integrity is based on the unbreakable unity of the whole system from the inclusion in the unity. Thus, it comes to the conclusion that it is impossible to change uniqueness without changing its main ideas. Conclusions. The article concludes that globalization seeks to destroy national identity, destroy global processes of its democratization, standardization of culture, economy, universalization of values and informatization.