Distribution Of Various Types Research Articles

Aerosol type classification and its temporal distribution in Kanpur using ground-based remote sensing

Based on AERONET version 3 level 2 inversion products, we classify aerosol types and investigate their temporal distribution in the atmosphere using particle linear depolarization ratio (PLDR) and single scattering albedo (SSA) at the wavelength of 1020 nm over Kanpur. It is for the first time over the North Indian region the work has been emphasized. The remarkable findings over Kanpur station indicate that SSA and coarse-mode particles in the atmosphere increased with increasing PLDR at 440, 675, 870, and 1020 nm wavelengths. It is observed in the 2-dimensional histogram that the rate of occurrence of aerosols is high when the fine mode fraction (FMF) is high and the dust ratio (Rd) is low. The atmosphere of Kanpur is partially influenced by dust-dominated mixture (DDM), pollution-dominated mixture (PDM), and pure dust (PD) with 53% whereas, the rest of the dust-free pollution aerosols are 47%. The annual mean occurrence rate for different aerosol types is 5% for Strongly Absorbing (SA), 20% for Moderately Absorbing (MA), 19% for Weakly Absorbing (WA), 3% for Non-Absorbing (NA), 27% for DDM, 22% for PDM, and 4% for PD, ranging from January 2001 to January 2022. There is a variation in the distribution of various types of pollution particles, which is influenced by the changing seasons. The rate of occurrence of dust-free pollution aerosols is 47%, mostly observed throughout the post-monsoon and winter seasons. The PLDR values in the atmosphere of Kanpur are almost balanced equally because it is affected by both (dust and dust-free) pollution aerosols and the changes can be seen due to the frequent occurrence of dust storms and anthropogenic activities.

Intratumoral microbiota as cancer therapeutic target.

Intratumoral microbiota, which affects the physiological and pathological processes of the host, has attracted increasing attention from researchers. Microbials have been found in normal as well as tumor tissues that were originally thought to be sterile. Intratumoral microbiota is considered to play a significant role in the development of tumors and the reduction of clinical benefits. In addition, intratumoral microbiota are heterogeneous, which have different distribution in various types of tumors, and can influence tumor development through different mechanisms, including genome mutations, inflammatory responses, activated cancer pathways, and immunosuppressive microenvironments. Therefore, eliminating the intratumoral microbiota is considered one of the most promising ways to slow down the tumor progression and improve therapeutic outcomes. In this review, we systematically categorized the intratumoral microbiota and elucidated its role in the pathogenesis and therapeutic response of cancer. We have also described the novel strategies to mitigate the impact of tumor progression. We hope this review will provide new insights for the anti-tumor treatment, particularly for the elderly population, where such insights could significantly enhance treatment outcomes.

Profile of Glaucoma Patients at a Tertiary Care Centre in Gokarneshwor, Kathmandu, Nepal

Glaucoma is a progressive optic neuropathy characterized by irreversible optic nerve damage and progressive visual field loss. It is the second leading cause of global irreversible blindness. The objective of this study was to find the prevalence, clinical profile and distribution of various types of glaucoma in patients attending a tertiary care center of Kathmandu. This was a retrospective, descriptive hospital based study conducted at glaucoma clinic at tertiary care center from March 2022 to February 2024 (24 months). Patients’ demographic profile along with comprehensive eye examination findings were reviewed from the records. Data analysis was done with SPSS version 18 and chi-square test was used for analysis. P value <0.05 was considered as statistically significant. Two hundred and four patients were diagnosed with glaucoma during 2 years period. The Mean age among glaucoma patients was 55.12 ± 16.7 years. Female was common 109 (53.4%) than male 95 (46.6%). Open angle was 185 (90.7%) and close angle was 19 (9.3%) on gonioscopy. Prevalence of glaucoma seen in this study was 0.72% of total outpatients (27,970). Among the glaucoma patients, primary open angle glaucoma (POAG) was more common 84 (41.2%) followed by glaucoma suspect 46 (22.5%), normal tension glaucoma (NTG) 26 (12.7%), primary angle closure disease 19 (9.4%), ocular hypertension (OHT) 12 (5.9%), secondary glaucoma 9 (4.4%) and juvenile open angle glaucoma (JOAG) 8 (3.9%). In primary angle closure disease, primary angle closure glaucoma (PACG) was 10 (4.9%), angle closure attack 5 (2.5%) and primary angle closure suspect (PACS) 4 (2%). The most common secondary glaucoma was pigmentary glaucoma 3 (1.5%) followed by steroid induced glaucoma 2 (1%), neovascular glaucoma 2 (1%) and inflammatory glaucoma 2 (1%). The most common type of glaucoma seen in a tertiary care center of Nepal was POAG. Glaucoma was more prevalent in female patients after forty years. The prevalence of glaucoma increases with increasing age. So, the patients above the age of 40 should be screened for glaucoma for early detection and prompt treatment. Awareness of glaucoma is needed as it is one of the leading causes of blindness.

Three-stages tectonic evolution controls the differential distribution of hydrocarbons in the West Java backarc basin

The West Java Basin is a typical back-arc basin in Southeast Asia and one of Indonesia's main petroleum provinces. In the past ten years, it has been found that the new hydrocarbon reserves are on the rise, and a amount of resources to be discovered is significant. The distribution of hydrocarbon resources and the tectonic evolution characteristics of the basin are systematically explored, and the differences in hydrocarbon distribution and its main controlling factors in the back-arc basin of West Java are analyzed. The uneven distribution pattern of hydrocarbon is mainly controlled by the differential distribution of source rocks in the subsidence period. The distribution of the main source rocks is influenced by the "three-stage" tectonic development process that governs the distribution of sedimentary facies in various sedimentary environments throughout the tectonic subsidence period. Second, the weakening of the crust and magmatism facilitates the production of high heat flow values in the shallow strata of the back-arc area, thereby accelerating the pyrolysis and hydrocarbon generation of source rocks. The study delineates the formation and distribution of various types of oil and gas across various blocks. Prospective basin exploration sites include the shallow-deep water zones in the basin's south-central sector, as well as underexplored terrestrial regions. The exploration history and hydrocarbon resources identified within the West Java back-arc basin support these findings.

Optimizing the fleet of emergency medical service vehicles

This study addresses the problem of optimizing composition and distribution of an ambulance fleet within an existing emergency medical system. The primary objective is to formulate a strategy aimed at minimizing response times and enhancing the system's responsiveness, particularly to critically ill patients. The optimal spatial distribution of various types of vehicles is proposed using a hierarchical p-median model. The effects of these strategies are evaluated through a detailed computer simulation model. Experimental studies have shown that optimizing station locations contributes more significantly than altering the fleet composition and associated dispatching protocols. In the context of the Slovak Republic, the proportion of high-priority incidents responded to within 8 minutes could be increased by 8.7% in urban areas and 10.5% in rural areas, solely through optimal deployment of currently active ambulances. An additional improvement of nearly 2% could be achieved by introducing 13 patient transport ambulances, optimally distributed throughout the country.

Exploring spatiotemporal Dynamics and influencing factors of cyber-fraud: A quantile regression approach in Xiaoshan District, China

This study utilizes data on cyber-fraud crimes from the Public Security Bureau in Xiaoshan District for the year 2021 as its case study. It examines the spatiotemporal distribution of various types of cyber-fraud and investigates the influencing factors from social and built environments. Additionally, quantile regression models are employed to analyze the variation in the number of cases across different quantiles of the influencing factors. The study reveals significant differences in individual characteristics among victims of different types of fraud. Cyber-fraud occurrences exhibit distinct temporal patterns across various temporal scales, with significant differences in the duration of crimes among different fraud types. Cyber-fraud demonstrates significant spatial clustering, mainly concentrated in residential areas. The results of quantile regression indicate that cyber fraud is influenced by both the built environment and social environment, with noticeable variations in the coefficient of influence across different quantiles of the independent variables.

Capital flows-at-risk: Push, pull and the role of policy

We characterise the probability distributions of various types of gross capital flows conditional on information contained in financial asset prices in a panel of emerging market economies, with a focus on ‘tail’ events. Our framework, based on the quantile regression methodology, allows for a separate role of push- and pull-type factors. We find that both push and pull factors have heterogeneous effects across the distributions of gross capital flows, which are most marked in the left tails. We then explore the role of the pre-existing stance of macroprudential and capital flow management policy in shaping probability distributions of capital flows. Macroprudential and capital flow management measures can both be stabilising, leading to less volatile flows and in particular to lower chances of large portfolio outflows. A tighter macroprudential stance can also reduce the sensitivity of portfolio flows to global financial shocks.

The spectrum of infections identified in pregnant women with different types of fetal growth restriction

BACKGROUND: Bacterial, viral and protozoal infections can cause miscarriage, antenatal death, congenital organ abnormalities or other limited consequences depending on the pathogen. The role of infection processes identified during pregnancy on placental pathology and fetal growth restriction. AIM: The aim of this study was to conduct a comparative analysis of infections identified in pregnant women with different types of fetal growth restriction, as well as to assess a potential impact of identified infections on the outcomes of fetal growth restriction in newborns in the same groups. MATERIALS AND METHODS: We performed a retrospective analysis of outcomes for 394 pregnant women with an established diagnosis of fetal growth restriction, who had given birth from 2018 to 2022 in the Perinatal Center of the Arkhangelsk Regional Clinical Hospital. Maternal and neonatal case histories were obtained using a continuous sampling method. Considering the transition to new criteria for establishing the diagnosis of fetal growth restriction in Russia, we formed four study groups, of which only 139 cases met the Delphi criteria of clinical guidelines by Russian Society of Obstetricians and Gynecologists, 2021. In the selected groups, we analyzed the results of microscopic and microbiological tests of various localizations in mothers during antepartum examination, as well as postpartum examination of the placenta and culture tests in newborns in their relation to adverse outcomes. RESULTS: A high prevalence (25–70.4%) of positive bacteriological findings was revealed in all of the study groups. The frequency was highest in the group of pregnant women with fetal growth restriction before 32 weeks (90–92%). Combined infections (two or more localizations) were noted in 59.2% of pregnant women in groups with early fetal growth restriction compared to 23.3% in late fetal growth restriction groups. In all cases, we observed a direct relationship between the severity of fetal growth restriction and the prevalence of infections. The range of infections identified during routine examination of pregnant women is quite limited; Candida spp. (from 40.8% in the control group to 75% in the comparison group), Escherichia coli (from 22.9 to 33.3%, respectively), and Chlamydia trachomatis (from 4.5 to 23.5%, respectively) being identified most commonly. In a morphological study of the placenta, infectious and inflammatory lesions were the most significant and ranged from 100 to 81.4% of cases in groups with early and late fetal growth restriction, respectively, with signs of hematogenous transmission prevailed. When analyzing infectious lesions in fetuses, we have found the presence of three and more localizations of the infectious process in 90 to 45% of cases with a fatal outcome for early and late fetal growth restriction, respectively. In the control groups, similar rates were 40 and 15.8%. When assessing the distribution of various types of infectious process in newborns, Candida spp., Escherichia coli, and Enterococcus faecalis also took the lead in all cases. However, the percentage of the same etiology of maternal and neonatal infections turned out to be very low (from 0 to 31% for individual pathogens), which makes it difficult to apply preventive treatment during pregnancy. CONCLUSIONS: Authors identified indirect but numerous signs of significant involvement of infectious processes in the development of fetal growth restriction, especially its early type, as well as the influence of infections on the outcomes for such newborns. In most cases, infectious processes during pregnancy are subclinical. Current screening of pregnant women is insufficient to identify high-risk groups. Examination of pregnant women for infections carried out by culture tests provide low-component and, most likely, incomplete information.

Exploring gender norms in Neolithic Northern China: A GIS analysis of the Jiangzhai site

This study employs Geographic Information Systems (GIS) techniques to analyze the Jiangzhai site, a significant Neolithic settlement in northern China. Our aim is to challenge existing biases in gender interpretations of this and similar sites. By examining the distribution of various types of burial goods across different areas of the cemetery, we reveal significant spatial heterogeneity, indicating that mortuary practices at Jiangzhai should not be considered a unified entity. Our findings highlight no universal correlation between gender and grave good distribution: various types of goods are present in both male and female graves. However, in certain areas of the cemetery, specific types of production tools exhibit clear gender preferences. This suggests that gender roles within the Jiangzhai community were flexible and gender was not the central aspect of funerary practices. At Jiangzhai, gender and gender norms were intertwined with other aspects of funerary practices and social identity, influenced by economic structural differences between households. We call for more case studies based on new methods and encourage scholars to continue critically examining past gender narratives.

Preliminary Geological Mapping, Petrographic, and Structural Studies of Precambrian Basement Complex Rocks in Part of Chulwe-Matale, South Kivu, DR Congo

A geological map is a veritable planning tool for the economic development of any nation. This map contains the distribution of various types of bedrock in the area. A geological map of Congo’s geographic landmass has been produced since 1974 with the recently updated map of Kivu (Eastern part of Congo) in February 2018. This map largely omits some local geology of interest, possibly owing to its large area coverage. Thus, local geologic mapping must be encouraged to bridge this lacuna; the focus of this study. Field traversing and rock sample collections were carried out and thin sections of the different rock types were prepared and mounted on glass slides for microscopic observation. Geological mapping revealed that the study area is made of ferruginous, graphitic sandstone schists and quartzite with interbedded metadoleritic sills. The petrographic studies revealed the mineral assemblages of quartz-feldspars-muscovite and olivine-pyroxene and plagioclase feldspars respectively for the first and the second group geological units. The structural investigations come out of two deformation phases: the strike-slip type would be at the origin of the cleavages and folds. It’s related to the D1 of the Kibarian orogeny. The second is an extensive phase responsible for the NW-SE fracturation mapped in the study area. The Matale discordance crosses all these lithologies, a later phase is possible. This discontinuity would have acted in the region studied by switching the lithology units from NE-SW to ENE-WSW orientation. This research recommends that the Chulwe-Matale formations would be typical of the Lower Kibarian (Bugarama group) but the geochronology and geochemical data are lacking to confirm this hypothesis.

Study on the Evaluation of Urban Park Landscape Pattern Index and Its Driving Mechanisms in Nanchang City

Urban planning is often influenced by industrial and construction activities, leading to a lack of attention to the planning and construction of urban parks, which results in prominent spatial layout problems. Urban parks, as an important part of the urban green space system, play a significant role in improving the ecological environment, promoting urban economic development, and enhancing the daily living standards of the people. As a typical representative of China’s second and third-tier cities, Nanchang’s analysis of the evolution process of urban landscape patterns has reference significance for other similar cities in China. This paper is based on the theoretical foundations of landscape ecology, human geography, and urban planning, and analyzes the evolution of the park landscape pattern in the central urban area of Nanchang from 1999 to 2019 from the perspective of urban context, revealing the driving mechanisms. It provides important references and bases for the further optimization and construction development of the park landscape pattern in Nanchang. The results show that the park area and number in the central urban area of Nanchang have significantly increased, with the overall layout evolving from “central aggregation” to “core aggregation in each area”, and from “central scarcity, more on the periphery” to “inward concentration, outward diffusion”. However, the distribution of various types of parks is uneven, and there is a lack of green corridor links between parks. The park landscape pattern is driven by multiple factors such as natural factors of urban context, socio-economic factors, urban construction factors, historical policies, and related planning, which can have positive or negative effects. Incorporating relevant urban factors into the park planning system analysis can promote the benign development of urban context and park landscape layout, thereby achieving the “parkification” of the city.

Dynamic resource matching in manufacturing using deep reinforcement learning

Matching plays an important role in the logical allocation of resources across a wide range of industries. The benefits of matching have been increasingly recognized in manufacturing industries. In particular, capacity sharing has received much attention recently. In this paper, we consider the problem of dynamically matching demand-capacity types of manufacturing resources. We formulate the multi-period, many-to-many manufacturing resource-matching problem as a sequential decision process. The formulated manufacturing resource-matching problem involves large state and action spaces, and it is not practical to accurately model the joint distribution of various types of demands. To address the curse of dimensionality and the difficulty of explicitly modeling the transition dynamics, we use a model-free deep reinforcement learning approach to find optimal matching policies. Moreover, to tackle the issue of infeasible actions and slow convergence due to initial biased estimates caused by the maximum operator in Q-learning, we introduce two penalties to the traditional Q-learning algorithm: a domain knowledge-based penalty based on a prior policy and an infeasibility penalty that conforms to the demand–supply constraints. We establish theoretical results on the convergence of our domain knowledge-informed Q-learning providing performance guarantee for small-size problems. For large-size problems, we further inject our modified approach into the deep deterministic policy gradient (DDPG) algorithm, which we refer to as domain knowledge-informed DDPG (DKDDPG). In our computational study, including small- and large-scale experiments, DKDDPG consistently outperformed traditional DDPG and other RL algorithms, yielding higher rewards and demonstrating greater efficiency in time and episodes.

GEODESY IN SOLVING PROBLEMS OF SUSTAINABLE CITY DEVELOPMENT: ANALYSIS OF URBAN TERRITORY PLANNING

The article focuses on the creation and implementation of a geodetic planning system aimed at ensuring the sustainable development of urban areas. The main emphasis is on the use of open and accessible software, integration of full-fledged GIS and DBMS components. The process of determining the most suitable GIS platform for GSP included a detailed analysis of various GIS systems taking into account their functionality, which allowed to choose QGIS as the optimal solution due to its high functionality in the field of geodata management, support for various data formats, user interface and dynamic development. The structure of the GSP is based on two main platforms: the QGIS GIS system for cartographic data presentation and analysis, and the Microsoft Access DBMS for performing all data operations. Interaction between these platforms is provided through the eVis module built into QGIS, which allows for efficient planning of urban area surveys and land use management. The main tasks solved with the help of GSP are the planning of primary surveys to identify target plantations, detailed taxation of plantations with the creation of samples according to specified parameters, obtaining point maps of the distribution of various types of vegetation, planning sample surveys with specific geospatial conditions, as well as geo-information and tax analysis in in solving the problems of sustainable development of cities. The implementation of GSP provides significant advantages for planning the sustainable development of urban areas, allowing more efficient use of land resources, optimizing urban management processes and intensifying scientific research in this field. The development and integration of modern digital technologies in the field of urban planning play a key role in achieving the goals of sustainable development.

Correlation Analysis of Urban Road Network Structure and Spatial Distribution of Tourism Service Facilities at Multi-Scales Based on Tourists’ Travel Preferences

Harbin, as a popular tourist city in China, and the host of the 2025 Asian Winter Games, boasts rich tourism resources and significant potential for further development. The structure of the urban road network is a crucial factor influencing the spatial distribution of tourism service facilities. However, the current research on the correlation between the two, analyzed at multiple scales based on tourists’ travel preferences, is not sufficient. First, utilizing the questionnaire survey method to analyze tourists’ travel preferences and combining it with the theory of 15-min life circle, we determine the study scales at 500 m, 1000 m, 3000 m, and 5000 m. Secondly, the integration value and choice value of roads in the main urban area of Harbin are analyzed based on the theory of spatial syntax. The spatial distribution characteristics of tourism service facilities are then revealed through kernel density analysis. Finally, the correlation between the road network structure and the distribution of various types of tourism service facilities in Harbin at different scales is determined through buffer analysis and Pearson bivariate correlation analysis. The results show that: (1) Integration value plays a significant positive role in promoting the clustering of tourism service facilities, especially tending to cluster in areas with high integration value formed at a scale of 500 m; (2) At the scale of 3000 m, the distribution of tourism service facilities exhibits a significant correlation with the choice value; (3) The correlation between dining, shopping, and entertainment facilities and the integration value decreases with the increase in scale, whereas the spatial distribution of accommodation and attraction facilities does not exhibit a regular pattern with changes in integration value. In addition, this paper also puts forward targeted suggestions for optimizing the urban road network structure, reasonably locating tourism service facilities, and implementing balanced regional development. The contribution of this study is that it will help improve tourists’ travel experience in the city and provide scientific support for promoting the overall sustainable development of tourism in Harbin.

Clinical and Epidemiological Characteristics of a Contingent of Elderly Patients Treated in the Somatopsychiatric Department of a Multi-Field Hospital

Background: comorbidity of somatic and mental pathology is the most common reason that complicates the provision of medical care to the elderly even under the conditions of a specialized somatopsychiatric department (SPD) of a multi-field hospital, which dictates the need for further study of the clinical and epidemiological features of these patients population.The aim of the study was to investigate the clinical and epidemiological characteristics of a contingent of elderly patients treated over a year in SPD of a multi-field hospital in comparison with similar data from a psychiatric hospital. The objectives of the study were to analyze the demographic structure of this contingent, the distribution of various types (categories) of somatic and mental pathology, routes of admission, time and outcomes of treatment in SPD of a multidisciplinary hospital.Materials and methods: the research material was the medical documentation of a sample of patients treated during 2019 in the SPD of the City Clinical Hospital № 1 named after. N.I. Pirogov of the Moscow Department of Health Protection (the total number of patients treated was 3379 people, of which 1456 were aged 65 and older). To conduct a comparative analysis, we used data from an epidemiological study in a psychiatric hospital (City Psychiatric Hospital № 13 of the Moscow Department of Health Protection), conducted in the same 2019 year.Results: it was established that in the SPD of a multi-field hospital, care is provided to a heterogeneous (demographic and clinical-diagnostic) group of patients, predominantly of late age (65 years and older). The most common diagnosis is dementia of various origins, complicated by severe somatic pathology (acute or associated with decompensation of a chronic somatic disease).Conclusion: elderly and senile patients make up more than half of the contingent of patients treated in the SPD of a multidisciplinary hospital. Significant differences were revealed in the SPD diagnostic distribution of young-middle-aged and elderly patients. Special features of the gender and age distribution of patients in the indicated age groups were established. Data were obtained on a higher mortality rate for those aged 65 years and older. The presence of problems in providing care to patients of older age groups in SPD determines the need for its improvement. For this purpose, it is advisable to consider the issue of creating a model of SPD of geriatric profile in a multi-field hospital to provide emergency psychiatric and somatic care to elderly patients.

Spatial distribution of intangible cultural heritage resources in China and its influencing factors

Exploring the spatial distribution of China’s intangible cultural heritage resources and its influencing factors is an important foundation for their protection and development and a key step toward the integration of culture and tourism. To analyse the geographical distribution patterns of China’s 3610 intangible cultural heritage resources and their influencing factors, we comprehensively applied methods such as spatial analysis and geodetectors. The main findings are as follows: (1) In terms of spatial distribution, China’s intangible cultural heritage resources are unevenly distributed, with an overall agglomeration-type distribution. The distribution in the north‒south direction is more significant, with more resources in the east than in the west and more resources in the south than in the north. (2) In terms of the spatial distribution of various types of intangible cultural heritage sites, North and East China have always been areas with a high kernel density. (3) In terms of spatial trends, there is a clear correlation between the distribution of intangible cultural heritage resources and the state of economic development and historical and cultural heritage, i.e., the more economically developed and culturally rich a region is, the more resources of intangible cultural heritage there are. (4) The causes of the distribution of China’s intangible cultural heritage resources are complicated, the influence of social factors is much greater than that of natural factors, and multidimensional interactions have a relatively significant impact. This study is conducive to the planning and protection of China’s intangible cultural heritage resources at the national and regional levels and provides a reference for the sustainable development of China’s intangible cultural heritage resources.

Bridging the gap: coordinating equity and efficiency in older people care resource allocation in China

BackgroundWith the increasing global aging population, how to allocate older people care resources reasonably has become an increasingly urgent international issue. China, as the largest developing country, has made many efforts to actively respond to the challenges of an aging population. However, there are still problems with uneven allocation of older people care resources and low efficiency of allocation. Therefore, this study evaluates the regional differences and dynamic evolution of the equity and efficiency of older people care resource allocation in China from 2009 to 2020, and explores ways to change the current situation.MethodsThe data used in this study were derived from the “China Statistical Yearbook” and the “China Civil Affairs Statistical Yearbook” for the period of 2010–2021. Firstly, the equity of older people care resource allocation was measured using the Gini coefficient, the Theil index, the Older People Care Resource Density Index, and the Older People Care Resource Agglomeration Degree. Secondly, the dynamic Slack-Based Measure data envelopment analysis method was adopted to evaluate efficiency. Lastly, the Z-score is used to normalize the equity index and perform classification matching with the efficiency value. Spatial autocorrelation analysis and hotspot analysis were conducted using GIS technology to examine the dynamic evolution process of older people care resource allocation equity and efficiency, as well as their spatial distribution patterns and coordination across provinces from 2009 to 2020.ResultsThe equity analysis showed that the spatial distribution of various types of older people care resources was uneven, and the differences were mainly due to internal differences within each region, with the largest equity differences observed in western provinces. Currently, older people care resources are mainly concentrated in eastern regions, while the total amount of older people care resources in western regions and some central regions is relatively small, which cannot meet the older people care needs of residents. The efficiency analysis results showed that the efficiency of older people care resource allocation has been improving over the past 12 years, and in 2020, 77.42% of provinces were located on the efficiency frontier with an average efficiency value of 0.9396. Finally, the coordination analysis results showed that there were significant spatiotemporal differences in the equity and efficiency of older people care resources allocation.ConclusionWith the development of society and economy, the total amount and service capacity of older people care resources in China have greatly improved. However, there are still significant spatiotemporal differences in the equity and efficiency of older people care resource allocation. The development of older people care services in central and eastern provinces is unbalanced, and there is a polarization trend in terms of equity and efficiency of older people care resource allocation. Most provinces in western regions face the dual dilemma of inadequate older people care resources and low utilization efficiency. It is recommended that policymakers comprehensively consider population and geographic factors in different provinces, establish relevant allocation standards according to local conditions, improve the redistribution system, and focus on increasing the total amount of older people care resources in underdeveloped provinces while promoting resource flow.

Atrial Reentry Tachycardia: Mechanisms and Diagnosis

Atrial tachycardia (AT) is a group of arrhythmias that differ in electrophysiological mechanisms and clinical course. There are three main forms of AT: focal AT, macroreentries, and localized reentries also known as “microreentries”. Macroreentries, as a rule, occur in the presence of fibrous changes in the myocardium, for example, in “atrial” cardiomyopathy or as a result of catheter or surgical interventions in the atria. Focal AT can also occur in the absence of structural pathology of the heart.
 The aim. To analyze modern ideas about electrophysiological mechanisms and diagnosis of atrial reentry tachycardia.
 In our research we used data from the literature as well as findings of our own previous studies. The work analyzed global data on the distribution of various types of AT. The data of electrocardiographic (ECG) diagnosis, electrophysiological methods of diagnosis and pharmacological tests were also analyzed to determine the mechanism of occurrence and course of AT. The main ECG differences of different types and localizations of AT were determined. The diagnostic value of various stimulation protocols in the differential diagnosis of focal and macro-reentrant AT was also analyzed.
 Conclusions. Atrial tachycardias with a reentrant mechanism are common in the general population. Differential diagnosis with other types of tachycardia is carried out on the basis of ECG data, the response to adenosine administration, the nature of the response during entrainment, and endocardial, particularly electroanatomical, mapping.

Detecting and Tracking Player in Football Videos Using Two-Stage Mask R-CNN Approach

Football is one of the most popular sports worldwide and capable of attracting the attention of millions of fans to a single match in the top leagues. The English Premier League, Spanish LaLiga, German Bundesliga, Italian Serie A, and French Ligue 1 are the five best leagues in the world today. There was an experiment where researchers want to analyze the efficiency and accuracy percentage of tracking and detection using the deep learning method of the Mask R-CNN model in classifying positive and negative X-Ray images in football matches. In this study, we applied Mask R-CNN for the segmentation and detection of football players. This model was based on two different backbones, namely ResNet101 and DenseNet. Both backbones produced accuracy values that were not significantly different, but the DenseNet approach performed better than ResNet101 based on testing results in the validation and testing sets. Based on comprehensive experiment results on the dataset, it has been shown that the Mask R-CNN approach with DenseNet can achieve better results compared to Mask R-CNN with ResNet101. Due to insufficient understanding of the characteristics of image types and the uneven distribution of various types of data sourced from random videos, there was still room for improvement in the trained model.

Attributive Structure of the Lyrical Cycles «Angel of Armenia»
 by Sergei Gorodetskyand «Armenia» by Osip Mandelstam

The article is devoted to the analysis of the attributive structure of two poetic collections of well-known authors – «The Angel of Armenia» by Sergei Gorodetsky and «Armenia» by Osip Mandelstam. These poems occupy an important place among the works of Russian poets about Armenia, making it possible to form the perception of the history and culture of Armenia, its artistic representation in Russian poetry.
 The article sets the task of a quantitative analysis of the distribution and nature of the use of attributes of various types. Attribute types are determined by the part-of-speech filling of the syntactic position of the definition and by its position relative to the word being defined.
 In the course of the study, various statistical methods were used, which include the chi-square test, correlation coefficients, variance, Euclidean distance. 
 As a result of the analysis, data were obtained that characterize the authors' approaches to the description, similarities and differences in the distribution of various types of attributes, the degree of intensity of the description, the level of inversion of attributive structures.