Distribution Of Various Types Research Articles

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.

Evolving trends in hip fracture patterns among the elderly from 2001 to 2022

IntroductionHip fractures among the elderly exhibit diverse patterns. Differences regarding treatment and prognosis of displaced versus undisplaced intracapsular fractures are well established. Unstable extracapsular fractures are associated with considerably higher rates of complications than stable fractures, including cutout failures, non-unions, wound complications and hardware related problems.The purpose of this study was to identify trends in the distribution of various types of hip fractures and their complexity between 2001 and 2022. MethodsThis retrospective study compared hip fractures treated in the years 2001, 2006, 2010, 2014, 2018, and 2022, excluding patients under 60 years old and those with pathological or peri‑prosthetic fractures. Radiographs were reviewed and fracture patterns were categorized as stable extracapsular, unstable extracapsular, subtrochanteric or intracapsular. ResultsOut of 2646 patients admitted with proximal femoral fractures during these years, 2277 patients (69.5 % women) were available for analysis. Over the initial decade, the mean patient age gradually increased from 80 to 82, subsequently stabilizing. Gender distribution remained consistent, and the proportion of intracapsular fractures showed minimal variation (36–38 %). The most significant finding was the marked decrease in the proportion of stable-to-unstable extracapsular fractures during the first decade from 51 % to 31 %, followed by stabilization after 2010. Subgroup analysis by age revealed that while the proportion change between stable and unstable fractures remained insignificant in younger age groups (p = 0.41 for sexagenarians and 0.12 for septuagenarians), a significant change was observed in older patients (p = 0.002 for octogenarians and 0.04 for nonagenarians and older patients). DiscussionThis study reveals a surge in unstable peritrochanteric fractures between 2001 and 2010, particularly pronounced in patients over 80. This trend plateaued in the following decade, aligning with the stabilization of the cohort's mean age at 82. Numerous factors, from bone morphology to systemic markers, influence hip fracture types. Evolutions in osteoporosis screening and treatment over the last three decades may have contributed to the observed shifts in fracture pattern distribution. Conclusion: Understanding these trends enriches treatment strategies and underscores the need for further exploration of the interplay between demographic and anatomical factors in the etiology of specific fracture patterns.

An Empirical Comparison of Commonly Used Universal Rating Scales for Dystonia.

There are several widely used clinical rating scales for documenting the severity and distribution of various types of dystonia. The goal of this study was to evaluate the performance of the most commonly used scales in a large group of adults with the most common types of isolated dystonia. Global Dystonia Rating Scale (GDRS) and the Burke-Fahn-Marsden Dystonia Rating Scale (BFM) scores were obtained for 3067 participants. Most had focal or segmental dystonia, with smaller numbers of multifocal or generalized dystonia. These scales were also compared for 209 adults with cervical dystonia that had Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS) scores and 210 adults with blepharospasm that had Blepharospasm Severity Scale (BSRS) scores. There were strong correlations between the GDRS and BFM total scores (r = 0.79) and moderate correlations for their sub scores (r > 0.5). Scores for both scales showed positive skew, with an overabundance of low scores. BFM sub-scores were not normally distributed, due to artifacts caused by the provoking factor. Relevant sub-scores of the GDRS and BFM also showed moderate correlations with the TWSTRS (r > 0.5) for cervical dystonia and the BSRS (r > 0.5) for blepharospasm. The BFM is more widely used than the GDRS, but these results suggest the GDRS may be preferable for focal and segmental dystonias. The overabundance of very low scores for both scales highlights challenges associated with discriminating very mild dystonia from other abnormal movements or variants of normal behavior.

Spectral clustering eigenvector selection of hyperspectral image based on the coincidence degree of data distribution

ABSTRACT Spectral clustering is a well-regarded subspace clustering algorithm that exhibits outstanding performance in hyperspectral image classification through eigenvalue decomposition of the Laplacian matrix. However, its classification accuracy is severely limited by the selected eigenvectors, and the commonly used eigenvectors not only fail to guarantee the inclusion of detailed discriminative information, but also have high computational complexity. To address these challenges, we proposed an intuitive eigenvector selection method based on the coincidence degree of data distribution (CDES). First, the clustering result of improved k-means, which can well reflect the spatial distribution of various types was used as the reference map. Then, the adjusted Rand index and adjusted mutual information were calculated to assess the data distribution consistency between each eigenvector and the reference map. Finally, the eigenvectors with high coincidence degrees were selected for clustering. A case study on hyperspectral mineral mapping demonstrated that the mapping accuracies of CDES are approximately 56.3%, 15.5%, and 10.5% higher than those of the commonly used top, high entropy, and high relevance eigenvectors, and CDES can save more than 99% of the eigenvector selection time. Especially, due to the unsupervised nature of k-means, CDES provides a novel solution for autonomous feature selection of hyperspectral images.

A simulation model for the electrical rotary-wing aircraft (eVTOL) performance estimation for the urban air mobility purposes

The present paper presents a simulation model description developed for the aircraft performance estimation of the most popular electric vertical takeoff and landing aircraft (eVTOL) aerodynamic configurations with the electric (hybrid) power plant for the urban air mobility purposes. It focuses on the quadcopter-type eVTOL aircraft aerodynamic configurations using the unshrouded-propellers or ducted fans driven by electric motors. The aircraft performance analysis for aerodynamic configurations of the quadcopter and tilt rotor-quadcopters with the tilt rotors and wing with the all-electric (EP) or hybrid power plant (HP) is given. To compare aircraft performance, the estimation results for a conventional single-rotor helicopter with EP or HP are given. Based on the numerical solution equation of the aircraft existence, feasible structural components mass distributions for various types of eVTOL configurations were obtained. eVTOL aircraft performance, including the estimation of apparent and drag power for the airspeed range, from hovering to the maximum airspeed, as well as for the transition modes (tilt rotor aircraft and quadcopters) were estimated. The eVTOL aircraft flight range and duration with EP and HP at the straight and level flight mode were calculated. Specific mass characteristics of EP and HP components (batteries, generators, electric motors, etc.) to ensure acceptable eVTOL aircraft performance were identified. A comparative evaluation of considered eVTOL configurations for the purpose of their efficiency was performed. Aerodynamic calculations were carried out based on the known analytical techniques of the lifting propeller momentum theory with the data correction capability according to test results. The simulation model, obtained in this paper, can be considered in the phase of the preliminary choice as the first approach of structural parameters and aerodynamic configurations of prospective electric (hybrid) eVTOLs designed for the use as an urban air taxi.

Static behavior of elastically supported transversely inhomogeneous porous functionally graded plate with different thickness variations under a variety of external loadings

The static behavior of a porous functionally graded material plate (FGMP) with variable thickness placed on two parametric elastic foundations exposed to various boundary conditions is investigated in this study. Thickness variation in the plate is assumed to vary in uni-direction/bi-direction with linear and parabolic variations. The properties of the constituent of FGMs are expected to change in the direction of thickness following the power law. The plate is subjected to three types of external loadings: uniformly distributed load (UDL), linearly increasing load (LIL), and linearly increasing decreasing load (LIDL). To explore the static behavior, numerical parameters (NP) linked with the bending and normal stresses of the plate have been determined. Classical plate theory is used to derive the governing equation using the energy principle. The transverse displacement functions are indigenously developed in the form of simple algebraic polynomials (using Pascal’s triangle) to handle any set of mixed- boundary conditions. The Rayleigh–Ritz method along with the algebraic polynomial is employed in the numerical simulation for getting NP. This method is straightforward, precise, and computationally efficient as it can handle any set of boundary conditions and the solution converges with very few iterations. Following the convergence and validation analyses, new findings are presented. The influence of aspect ratios, power-law exponents, porosity volume fraction, taper ratios, and the Winkler and Pasternak modulus on the NP of the plate has been thoroughly examined. The effect of various types of external loading and boundary conditions on deformed shapes and co-ordinate of maximum deflection of elastically supported porous FGMP with different thickness variations have also been reported. One of the important findings is that the effect of homogeneous porosity distribution on NP is more pronounced than in situations with non-homogeneous distributions. Also, the change in thickness of the plate and the distribution of various types of porosity has a substantial effect on the deformed shape of the plate. One of the interesting observations of this study is that the deformation in the plate is more significant in the case of bi-linear thickness variation compared to the uni-linear case. The results reported in this article are accurate enough to consider for further research and experimentation.

A new aeolian activity proxy based on analysis of the grain size characteristics of surface soils across the Tengger Desert, northwest China, and its application to a Quaternary aeolian succession

The arid regions of northwestern China are dominated by extensive areas of mobile sand dunes. These features cause environmental problems and exert global climatic impacts; however, due to the lack of systematically-applied indicators of aeolian activity, direct evidence of past changes in aeolian activity is unreliable, especially for aeolian sand source regions. In this paper, we analyze the end-member (EM) distributions of various types of surface soil across the Tengger Desert in northwestern China, and devise a sensitive proxy for aeolian activity using a spatio-temporal substitution approach. This proxy is then used to evaluate a Quaternary aeolian succession and to understand the response of aeolian activity to regional climate change. Our results suggest that gradual increases in the coarse-grained EM components 3–5 reflect enhanced dune mobility and reduced vegetation coverage, which are a direct function of the intensity of regional aeolian activity. In the aeolian section, coarse- and medium-grained sand layers resemble modern semi-mobile and mobile dunes, whereas fine-grained sand layers are analogous to vegetated fixed/semi-fixed or semi-mobile dunes. Combining this record with independent multi-proxy evidence from the same section leads us to conclude that strong aeolian activity coincided with a dry climate, sparse vegetation cover, and strong surface winds during the Last Glacial Maximum, and that these conditions gradually attenuated at the beginning of the Last Deglacial. These inferences are in accord with independent paleoclimate records from this region, confirming that the intensity of aeolian activity in the southeastern Tengger Desert is closely associated with large-scale climate change. Our findings show that our EM proxy can be used to infer the intensity of aeolian activity and to reliably reconstruct the evolution of deserts in northwestern China.

Applications of Artificial Intelligence in Thrombocytopenia

Thrombocytopenia is a medical condition where blood platelet count drops very low. This drop in platelet count can be attributed to many causes including medication, sepsis, viral infections, and autoimmunity. Clinically, the presence of thrombocytopenia might be very dangerous and is associated with poor outcomes of patients due to excessive bleeding if not addressed quickly enough. Hence, early detection and evaluation of thrombocytopenia is essential for rapid and appropriate intervention for these patients. Since artificial intelligence is able to combine and evaluate many linear and nonlinear variables simultaneously, it has shown great potential in its application in the early diagnosis, assessing the prognosis and predicting the distribution of patients with thrombocytopenia. In this review, we conducted a search across four databases and identified a total of 13 original articles that looked at the use of many machine learning algorithms in the diagnosis, prognosis, and distribution of various types of thrombocytopenia. We summarized the methods and findings of each article in this review. The included studies showed that artificial intelligence can potentially enhance the clinical approaches used in the diagnosis, prognosis, and treatment of thrombocytopenia.

Exploration of Planting Areas and Organoleptic Tests of Pineapple (Ananas comosus) in Central Aceh, Indonesia

Pineapple (Ananas comosus) is a tropical fruit plant that is in great demand and has many benefits. Pineapple has a sweet taste slightly sour and fresh, and contains many vitamins and nutrients. Gayo pineapple is a variety originating from Central Aceh that has been certified as a national superior fruit. The problem is that the Gayo pineapple planting area is still low. This is caused by people does not know the advantages and disadvantages of Gayo pineapple compared to other national varieties of pineapple. The purpose of this study was to determine the distribution of various types of pineapple in Central Aceh as well as the level of people's preference for Gayo pineapple. This research was conducted in Pegasing District, Central Aceh Regency and at the Laboratory of Basic Agricultural Sciences, Faculty of Agriculture, Universitas Malikussaleh. the study was conducted from March to May 2022. The research used descriptive method with purposive sampling. The results showed that there were two varieties of pineapple cultivated in 5 locations in Pegasing District and its surroundings in Central Aceh, namely Gayo and Madu. Organoleptic test results showed that Gayo and Simalungun Pineapple were highly favored by consumers. Consumer preference is based on the color of the fruit flesh, aroma, taste, water content and texture of the flesh, with a score of 4.0 - 4.1 (from a standard maximum score of 5).

Математическая модель оптимального распределения ресурсов в строительной сфере в условиях их дефицита

Logistics in the field of construction is one of its most important components, directly affecting the success of the implementation of construction projects. The problem of the optimal distribution of available limited resources is an important and urgent task in planning and organizing construction work, especially in conditions of scarcity of resources. The solution of this problem directly affects the quality and result of construction projects, the duration and rhythm of construction, costs and labor productivity. Aim. The purpose of the study is to develop a mathematical model based on vector optimization methods that allows optimal distribution of various types of limited resources between construction activities, works or objects in order to increase the efficiency of construction projects. Materials and methods. The model of resource distribution described in the paper is based on the theory of vector linear optimization, which makes it possible to distribute limited resources of various types between works, activities, or construction objects. The model takes into account the minimum and optimal requirements for providing construction objects or works with resources, their supply, as well as the priority for supplying objects. A technique for organizing computational procedures according to the model by numerical methods is given. Simulation methods based on computational experiments substantiate the adequacy of the proposed model and the properties of the results obtained from it. Also, the effectiveness of the implementation of the resource allocation model in the system of planning and management of construction projects was assessed. Results. A mathematical model for the distribution of limited resources between construction objects, works or events has been developed and justified. The adequacy of the results obtained by the model is proved. A technique for carrying out computational procedures for the numerical implementation of the model in the MS Excel environment is described. On the basis of computational experiments, the efficiency of applying the resource allocation model in the management of construction projects was evaluated, which averaged more than 34%. Conclusion. The relevance of developing a model for the distribution of resources of various types in the field of construction is shown, the adequacy of the results is proved, the method for obtaining estimates from the model by numerical methods is described, and the economic effect of applying the model in practice is estimated. The proposed resource allocation model leads to a significant increase in the efficiency of organization and management of construction projects and increases the likelihood of their timely completion at minimal cost.

Harmful Information in Internet Media: The «Overton Window» and Destructive Network Content Interrelationships

The paper is devoted to the analysis of Internet media monitoring for the dissemination of destructive content and the comparison of the identified types of information of aggressive and (auto)destructive nature with legally fixed prohibitions and restrictions on the right to freedom of information dissemination. The author considers the issues of networking and decentralization of destructive communities in Runet and the development of radical movements using the Ingamasi technology. Taking into account the patterns of distribution of various types of destructive content revealed during the study, including the peculiarities of communication in network communities of different types, the refraction of the «Overton window» theory to the media field of the dissemination of destructive information in Internet media was scientifically justified.Despite the existence of a regulatory framework for ensuring the information security of the individual, the realities of the development of communication in the digital environment demonstrate the presence of many gray areas. New communication and content risks require a systemic transformation and updating of the legal regulation of the digital environment in order to ensure the information and ideological security of the individual. Given the trends in the spread of new types of aggressive and depressive-suicidal content discussed in the paper, the author concludes that it is necessary to normalize new types of prohibited and restricted information by making systemic changes to the Federal Law «On Information, Information Technologies and Information Protection», the Federal Law «On the Protection of Children from Information that causes Harm their health and development», the Law of the Russian Federation «On Mass Media», as well as the improvement of administrative and criminal legislation, including through the introduction of new elements of offenses (crimes).