Auxiliary Indexes Research Articles

P066 Predictive Modeling of Infection Risk in Lupus Nephritis using Multiple Machine Learning Algorithms

Abstract Background/Aims The incidence of infections is considerably higher among patients with lupus nephritis (LN), and these infections significantly contribute to mortality rates. This study analysed the characteristics of peripheral blood lymphocyte subsets in LN patients, aiming at using machine learning (ML) methods to explore the risk factors of infection and establish a most effective ML algorithm to predict the occurrence of co-infection in LN. Methods This retrospective study encompassed LN patients, consisting of 111 non-infected individuals and 72 infected individuals. Additionally, 206 healthy controls (HCs) matched age and sex were recruited. The patient’s basic information, infection site, pathogen type, clinical manifestation, patient medication, and auxiliary laboratory indexes were recorded. Eight ML methods were compared to establish a corresponding model through a training group, and then verify the results in a test group. We trained the ML models, including Logistic Regression (LR), Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multi-Layer Perceptron (MLP), Random Forest (RF), Ada boost (Ada), Extreme Gradient Boosting (XGB), after selecting variables for LN infection prediction in the training set, and further evaluated potential predictors of infection. Results The levels of T, B, helper T, suppressor T, Natural killer cells in the infected patients were significantly decreased when compared with both non-infected LN patients and HCs. The number of regulatory T cells in LN was significantly lower than HCs, and the infected patients had the fewest regulatory T cells among all these groups. Regarding localization of infection, the respiratory tract was most frequently involved (69.4%), followed by gastrointestinal (20.8%) and urinary tract infection (12.5%). Concerning pathogens, bacterial infection was more common. Viral included Epstein Barr virus, cytomegalovirus, and respiratory syncytial virus. In training group, the AUC values, accuracy and precision of DT, RF, Ada, and XGB were 1, 100%, and 100%, respectively. As for the modeled effects of predicting LN co-infection in test groups by the eight algorithms, the three algorithms with the highest AUC values were SVM, RF and XGB, with values of 0.85, 0.81 and 0.76, respectively. Among the algorithms, XGB algorithm has the highest accuracy (80%) and precision (84.62%), thus it is recommended to be used for prediction in clinical practice. In addition, the top four weighting factors for infection identified of LN by the XGB in ML were T, red blood cell, hospital length of stay, and lymphocyte%. Conclusion Both innate and adaptive immune systems in LN patients are disturbed, and monitoring the lymphocyte subsets may provide a reference for the prevention and treatment of infection. Our research found that the XGB algorithm performs better than other models with the most accuracy in prediction, which may be one of the preferred algorithms in LN patients with co-infection for future research. Disclosure J. Zhang: None. P. Cai: None. J. Liu: None. Q. Xie: None.

Research on fire early warning index system of coal mine goaf based on multi-parameter fusion

In order to improve the precision of goaf fire early warning outcomes, this paper obtains the temperature characteristic index of goaf fire early warning by using a coal spontaneous combustion thermogravimetric test and a coal spontaneous combustion programmed heating test. The major gas index and auxiliary gas index for early warning are derived using the integration of the Graham coefficient and grey correlation approach. The D-S evidence theory, which involves optimizing weight allocation, is utilized to integrate the early warning temperature index and various gas indexes. Based on the fusion results, a coal mine goaf fire early warning index system is developed through multi-parameter fusion. The early warning index system is then validated through a programmed heating experiment. The results show that the process of coal spontaneous combustion can be categorized into six distinct stages: latent stage, oxidation stage, critical stage, pyrolysis stage, fission stage, and combustion stage. These stages are determined by the characteristic temperatures of coal spontaneous combustion, which are 31.7 °C, 54.8 °C, 153.7 °C, 204.5 °C, and 241.6 °C. The major gas index for early warning of goaf fires can be determined by 100∆(CO)/∆O2(%). Additionally, auxiliary gas indexes such as C3H8/CH4, C3H8/C2H6, C2H4/C2H6, and C2H2 can be used for goaf fire early warning. The programmed heating experiment shows that the early warning system software is designed by the multi-parameter fusion goaf fire early warning index system is accurate and effective. The selection of the goaf fire early warning index is more rational and precise when using the multi-parameter fusion goaf fire early warning index system based on the D-S evidence theory of weight allocation. It offers robust support for enhancing the goaf fire early warning index system and predicting coal mine goaf fires.

Bayesian Optimization-Based LSTM for Short-Term Heating Load Forecasting

With the increase in population and the progress of industrialization, the rational use of energy in heating systems has become a research topic for many scholars. The accurate prediction of heat load in heating systems provides us with a scientific solution. Due to the complexity and difficulty of heat load forecasting in heating systems, this paper proposes a short-term heat load forecasting method based on a Bayesian algorithm-optimized long- and short-term memory network (BO-LSTM). The moving average data smoothing method is used to eliminate noise from the data. Pearson’s correlation analysis is used to determine the inputs to the model. Finally, the outdoor temperature and heat load of the previous period are selected as inputs to the model. The root mean square error (RMSE) is used as the main evaluation index, and the mean absolute error (MAE), mean bias error (MBE), and coefficient of determination (R2) are used as auxiliary evaluation indexes. It was found that the RMSE of the asynchronous length model decreased, proving the general practicability of the method. In conclusion, the proposed prediction method is simple and universal.

National (State) Bibliographic Resources on the Websites of National Libraries of the Subjects of the Russian Federation: State, Problems, Prospects

The article summarizes the results of monitoring of national (state) bibliographic resources on the websites of national libraries of the subjects of the Russian Federation. The peculiarities of the current national (state) bibliographic control in the republics of Russia are noted. The composition of the issues of state bibliographic indexes “Annals of the Press” by types of documents, differences in the periodicity of publishing, languages of the printed editions, included into “Annals”, presence of auxiliary indexes, as well as the form of presentation “Annals of the Press” (electronic editions, digitized printed editions, databases) are analyzed. The chronological framework of current and retrospective national (state) bibliographic indexes presented on the websites of national libraries of the subjects of the Russian Federation is determined.

Application of Monocyte-to-Albumin Ratio and Neutrophil Percentage-to-Hemoglobin Ratio on Distinguishing Non-Small Cell Lung Cancer Patients from Healthy Subjects.

This study aims at assessing the potential benefits of observation of monocyte-to-albumin ratio (MAR) and neutrophil percentage-to-hemoglobin ratio (NPHR) in the detection of non-small cell lung cancer (NSCLC). This study retrospectively involved 195 NSCLC patients and 204 healthy volunteers. The correlations between the clinicopathological characteristics of NSCLC and the two ratios including MAR and NPHR were assessed. The diagnostic efficiency of NSCLC patients by MAR and NPHR, alone or in combination with carcinoembryonic antigen (CEA), was assessed by receiver operating characteristic (ROC) curve. The risk factors for NSCLC were analyzed with binary logistic regression. Compared to healthy controls, the levels of MAR and NPHR in NSCLC patients were elevated. MAR and NPHR were related to clinicopathologic characteristics and increased significantly along with the progression of NSCLC. The area under the curve (AUC) for 95% confidence interval (95% CI) of MAR and NPHR in the diagnosis of NSCLC was 0.812 (0.769-0.854) and 0.724 (0.675-0.774), respectively. The combination of MAR, NPHR, and CEA achieved the highest diagnostic utility compared to each individually or combined markers (AUC, 0.86; 95% CI, 0.824-0.896; sensitivity, 72.8%; specificity, 87.3%). Further analysis showed that MAR combined with NPHR presented the potential to detect early-stage (IA-IIB) NSCLC (AUC, 0.794; 95% CI, 0.743-0.845; sensitivity, 55.1%; specificity, 87.7%). The result indicated that MAR and NPHR might be risk factors for NSCLC. MAR and NPHR could be novel and effective auxiliary indexes in the detection of NSCLC, especially when combined with CEA.

A neglected contributor of thermal hydrolysis to sludge anaerobic digestion: Fulvic acids release and their influences

Fulvic acids (FAs) belong to inert organic matters in sewage sludge and their influences are often overlooked during convectional anaerobic digestion (AD). Currently, thermal hydrolysis (TH) has been widely applied on sludge pretreatment before AD processes, which makes FAs undergo drastic evolutions and aggressive to sludge AD. Results in the present study indicated that FAs concentration in the liquid was elevated by over incredible 150 folds during sludge TH, from 3.4 mg/L in raw sludge to 590.0 mg/L in hydrolyzed sludge at 180 °C. Moreover, during sludge TH, the chemical structures of FAs, including aromatic condensation degree, elemental composition and functional group, also underwent significant changes, which enhanced FAs electron transfer capability, reduced their biodegradability and promoted their roles on sludge AD. Furthermore, fortunately, the evolutions of FAs were favorable to sludge AD in general. Methane production could be promoted by about 20% under FAs concentration of 0.6 g/L, and the FAs extracted from hydrolyzed sludge presented higher promotion performances than that of the raw FAs, in which 180 °C FAs were particularly conspicuous. Furthermore, FAs evolutions would present differential influences on each phase of sludge AD, promotional to acidogenesis and methanogenesis but inhibitory to hydrolysis. Pearson correlation analysis indicated FAs influences on sludge AD, particularly the hydrolysis phase, were not only related to their concentration, but also chemical structure. The findings of this study demonstrated that FAs influences should not be negligible anymore during sludge AD with TH pretreatment. Meanwhile, since FAs promotion on sludge AD was closely related to their concentration and chemical structure, it would be significant to take FAs evolutions as auxiliary indexes for the regulations of sludge TH.

Inflammatory Markers in Diabetic Foot Infection: A Meta-Analysis

Introduction. Diabetic foot infection is a serious and painful process for patients with diabetes, and the considerable morbidity associated with the condition warrants attention. Effective inflammatory markers may become important in the detection of diabetic foot infection. Objective. The goal of the research was to systematically assess the function of inflammatory markers in the detection of diabetic foot infection. Methods. Online databases including PubMed, SpringerLink, and Web of Science were searched. The quality of research and data was assessed using the Newcastle-Ottawa Scale. A random-effects model was used to compare changes in inflammatory markers between patients with infected diabetic foot (IDF) and patients with non-infected diabetic foot. Results. Ten studies with 785 participants were included in the systematic review. The study analyzed 3 inflammatory markers: white blood cell (WBC) count, C-reactive protein (CRP) level, and procalcitonin (PCT) level. The meta-analysis indicated that mean WBC count (standardized mean differences [SMD]: 0.51, 95% CI: 0.23, 0.79; P < .0001), mean CRP level (SMD: 1.05, 95% CI: 0.60, 1.50; P < .0001) and mean PCT level (SMD: 0.80, 95% CI: 0.36, 1.24; P < .0001) were higher in patients with IDF. The differences were statistically significant, but the funnel plots indicated the existence of publication bias. Conclusions. The meta-analysis further confirmed the significant association between inflammatory markers and diabetic foot infection. It also confirmed that WBC count, CRP level, and PCT level can be used as laboratory auxiliary indexes in the detection of diabetic foot infection, providing information for improved diagnosis and prevention.

Bibliographic Index of the Contents of the Journal “Bibliotekovedenie”. To the 70th Anniversary of the Periodical

In 2022, the Publishing House “Pashkov Dom” of the Russian State Library released the bibliographic work “Journal ‘Bibliotekovedenie’: Index of Contents 1952—2021”. The publication was prepared by the Research Department of Bibliography of the Russian State Library for the 70th anniversary of the scientific and practical journal. The article briefly describes all the milestones of the leading professional publication: from the periodical scientific collection “Libraries of the USSR. Work experience” up to the contemporary journal “Bibliotekovedenie”. Materials of the periodical have significant scientific value. The compilers of the bibliographic index ordered and systematized publications, as well as characterized previous similar works — cumulative in-journal indexes of contents and the only index of 1984 until 2022 published by the V.I. Lenin State Library of the USSR. The author highlights the number of differences between the previous indexes dedicated to the journal and the 2022 edition, among them are the completeness of coverage of the material, the structure and methodology of systematization, the availability of reference apparatus, etc. The reference apparatus of the new edition consists of five auxiliary indexes (index of names, personalia, library and information organizations, peer-reviewed publications and library and information serials). The book includes four reference appendices (the list of editors-in-chief, members of the editorial board and the editorial council; bibliographic list of publications about the journal in the professional press; the list of acronyms of library and information organizations; the list of bibliographic sources). In the process of compiling the index, the compilers encountered difficulties at the stage of grouping the material. Over the entire period of the journal existence, publishing standards and drawing up of the publication have changed many times. The compilers executed the painstaking work to identify the authorship of individual publications, as well as the identity in the names of repeatedly renamed library and information organizations, and to reveal data on the personalia mentioned in the articles. The article gives the examples of drawing up of the index. The index of publications of the main professional periodical from 1952 to 2021 reflects the processes of development of science, evolution, transformation of scientific knowledge and makes the basis for the work of researchers at present, being the significant mechanism of scientific activity.

Research and evaluation on Water-dispersion resistance of synchronous grouting slurry in shield tunnel

When the shield tunnel passes through the watered stratum with high permeability, as the shield tail interspace prone to be filled with groundwater, resulting in the segregation and loss of ordinary grout slurry during synchronous grouting, then critically affect the physical and mechanical properties as well as the durability of the curing grouting ring. Hence, it is necessary to optimize the performance of the existing ordinary grouting slurry to improve its water-dispersion resistance on the premise of ensuring the original performance. By means of theoretical analysis and indoor tests, this paper systematically investigates the mechanism of water-dispersion resistance of synchronous grouting slurry in water-rich stratum with high permeability, establishing a set of testing process and detection method for water-dispersion resistance of synchronous grouting. Moreover, the influences of different flocculants with corresponding contents on the performance of synchronous grouting slurry have been revealed, and the evaluation criterion of water-dispersion resistance of synchronous grouting slurry in shield tunnel is also clarified. The results show that: 1) Turbidity has notable responses to the change of flocculant content, which could better reflect the clarity of water samples. So, the turbidity is considered as a main evaluation index of water-dispersion resistance of synchronous grouting; 2) On the other hand, pH and water-land strength ratio also demonstrates the acid-base changes of groundwater and the loss of cementitious materials respectively during grouting. Thus, the two indexes are applied as auxiliary evaluation indexes for water-dispersion resistance of synchronous grouting; 3) For the above evaluation indexes, corresponding critical values to satisfy the water-dispersion resistance of synchronous grouting slurry are ensured: turbidity < 100NTU, pH < 10, and water–air strength ratio at different curing ages greater than 80%.

Towards distributed bitruss decomposition on bipartite graphs

Mining cohesive subgraphs on bipartite graphs is an important task. The k -bitruss is one of many popular cohesive subgraph models, which is the maximal subgraph where each edge is contained in at least k butterflies. The bitruss decomposition problem is to find all k -bitrusses for k ≥ 0. Dealing with large graphs is often beyond the capability of a single machine due to its limited memory and computational power, leading to a need for efficiently processing large graphs in a distributed environment. However, all current solutions are for a single machine and a centralized environment, where processors can access the graph or auxiliary indexes randomly and globally. It is difficult to directly deploy such algorithms on a shared-nothing model. In this paper, we propose distributed algorithms for bitruss decomposition. We first propose SC-HBD as the baseline, which uses H -function to define bitruss numbers and computes them iteratively to a fix point in parallel. We then introduce a subgraph-centric peeling method SC-PBD, which peels edges in batches over different butterfly complete subgraphs. We then introduce local indexes on each fragment, study the butterfly-aware edge partition problem including its hardness, and propose an effective partitioner. Finally we present the bitruss butterfly-complete subgraph concept, and divide and conquer DC-BD method with optimization strategies. Extensive experiments show the proposed methods solve graphs with 30 trillion butterflies in 2.5 hours, while existing parallel methods under shared-memory model fail to scale to such large graphs.

Project Schedule Expediting under Structural and Parametric Uncertainty

Project expediting is an important tool, which helps to prevent risks of losses following the project schedule tardiness. We developed an algorithm of iterative crashing (AIC), which not only involved traditional time/cost/resource parameters but also accounted for the structure of a project schedule, the number of critical paths (CP), their probabilities, and the probability of activities. Two auxiliary indexes were constructed to select the critical activity and control the process of schedule expediting. AIC was tested on five previously optimized benchmark schedules. Multiplying CPs and leveling their probabilities can reduce bias up to 23% and are capable of improving these benchmarks schedules by at least 6%.

Study of the Vertical Structures, Thermal Comfort, Negative Air Ions, and Human Physiological Stress of Forest Walking Spaces in Summer

Forest walking is a popular, healthy, and light outdoor activity. The potential comprehensive relationships between the vertical structures, thermal comfort, negative air ions (NAI), and human physiological stress in forest walking spaces have not been determined. We performed an experiment in the Baishuihe National Nature Reserve, Sichuan Province, China. Thirty-two college students recruited as subjects completed a forest walk (approximately one kilometer) on the same trail divided into three vertical structure type subsections, namely: A (dense herb and shrub layers with a sparse tree layer), B (dense tree, herb and shrub layers), and C (dense tree and herb layers with a sparse shrub layer). When the subjects passed preset environmental measurement points, staff measured climatic indexes (air temperature, relative humidity, wind velocity, surface temperature and global radiation) and NAI levels, and these data were input into the Rayman model to form a comprehensive thermal comfort index, the physiologically equivalent temperature (PET). PET and NAI differences and dynamic data among the subsections were analyzed. The subjects’ brain waves, heart rates (HRs), and walking speed (S) were digitally recorded. We selected brain wave θ, γ and β-high/α rates, neuroemotional indexes (stress and relaxation) and HR as physiological indicators, and S as an auxiliary indicator. The correlations between PET and NAI with physiological and auxiliary indexes were analyzed. Forest type C showed the lowest PETs and highest NAIs along with the most stable dynamic changes. PET was negatively correlated with HR and positively correlated with γ (12 channels). NAI was positively correlated with S and relaxation and negatively correlated with γ (two channels) and the β-high/α ratio (five channels). These comprehensive relationships suggest that dense tree, sparse shrub, and high-coverage herb layers combined with optimal temporal conditions (before noon or after a light rain) form the best thermal comfort and NAI conditions conducive to reducing human physiological pressures during summer daytime forest walking. These results provide theoretical references for forest walking and spatial regulation.

The Sources of the Formation of Bibliographic Repertoire of Russian Language Books Published Abroad (1927–1991)

The aim of the article is to reveal foreign Russian language publications as the main sources of the formation of the bibliographic repertoire of books in Russian published abroad, reflected in the bibliographic database «Books published in Russian abroad, 1927–1991», compiled by the staff of Research department of bibliography of Russian State Library. The specific features of the database and special cases associated with the requirements for the repertoire of the publications included in the database are characterized. Information on auxiliary indexes adjacent to the database, reflecting that of about the persons involved in book publications, keywords, geographic names and the names of organizations associated with publications is given. The main sources are outlined, within the framework of which the selection of the bibliographic repertoire corresponding to the topic of the main database is carried out: 1) editions of the Russian emigration circles in different countries; 2) editions of the socialist countries; 3) foreign editions. Each of the sources is considered and characterized, the specifics of the ways of organizing the publishing process, depending on each of them, are highlighted. Based on the requirements of the maximum possible practical verification of the material covered by the database de visu, the author considers the specifics of the search and analysis of the material, depending on a source of the bibliographic repertoire formation. The variety of bibliographic resources dictated by such specifics is noted, the variety of ways of referring to them by a bibliographer in his practical search and reflection of bibliographic material in the database.The fundamental differences between the considered sources are highlighted. There are raised questions related to the quantitative ratio within the database of publications corresponding to the indicated sources of its formation.

A New Method for Compaction Quality Evaluation of Asphalt Mixtures with the Intelligent Aggregate (IA).

To provide a new method for the evaluation of the compaction quality of asphalt mixture, a real-time data acquisition and processing system (RDAPS) for the motion state of aggregate with a small volume and high precision is developed. The system consists of an intelligent aggregate (IA), analysis software and hardware equipment. The performance of the IA was tested by regarding data sensitivity, high-temperature resistance, and mechanical properties. A new evaluation method was proposed for evaluating the compaction quality of AC-25 and SMA-25 asphalt mixtures based on an IA. The results show that the best transmission baud rate for the IA was 9600 bps, and the corresponding signal transmission distance was 380 m. Only one IA was needed to complete the state data collection for the aggregate within the asphalt mixture in a circular area, with the IA layout point as the center of the circle and a radius of 5 m. The IA conducted reliable data transmission up to 200 °C; however, its compressive strength decreased with increasing temperature until reaching stability. Traditional aggregate could be replaced by an IA to withstand external forces and internal load transfer. Embedding an IA into AC-25 or SMA-25 asphalt mixtures did not have a significant impact on the original mechanical properties of the mixture. The effect of the gradation type of the asphalt mixture on the IA motion state was not significant. When the compaction degree met the specification requirements, the motion data of the IA did not reach a stable state, and the interlocking effect between aggregates in the asphalt mixture could be further optimized. An evaluation method is proposed based on the IA for the compaction quality of AC-25 and SMA-25 asphalt mixtures with the compaction degree as the main index and the spatial attitude angle and spatial acceleration of the IA as the auxiliary indexes.

Study on the Effect of CO2 Leakage on the Basic Water Quality Index of Paddy Field Water

CO2 capture and storage (CCS) technology is an effective method to restrain the excessive growth of CO2 in the atmosphere. However, there are still risks of CO2 leakage during the implementation of CCS project, which may pose a threat to the surface environment and ecology. In this study, Longjing 31 and Longdao 18 were taken as experimental objects to simulate the leakage of geologic storage CO2 at different rates and to discuss its effects on the basic water quality indexes of paddy field water, such as DCO2, pH, DO and ORP, so as to explore the response rules of paddy field water to geologic storage CO2 leakage. The results indicated that CO2 leakage had significant long-term effects on DCO2, pH, DO and ORP of water in the paddy field, and different CO2 leakage rates had significant differences on water quality indexes in the paddy field. After the balance of all indexes, the water quality indexes of paddy field water showed obvious diurnal variations, in which DCO2 was high in the morning and evening, and low in noon, while pH, DO and ORP were opposite. According to the difference analysis of each index, it is suggested that DCO2 in paddy field water should be taken as the main index of CO2 leakage monitoring in paddy field system, and pH, DO and ORP should be used as the auxiliary indexes of CO2 leakage monitoring.

Dynamic responses and energy absorption of hollow sphere structure subjected to blast loading

Closed-cell and open-cell hollow spheres were designed to develop lightweight cellular structures with excellent blast resistance, and the mechanical response of the hollow sphere structure (HSS) under blast loading was investigated numerically using ANSYS®/LS-DYNA®17.0. In this paper, the blast wave pressure decay rate was served as the main index of blast resistance while areal specific energy absorption and frame deformation were used as auxiliary indexes. The results indicated that the weight of HSS was reduced by 37.7%–69.8% compared to solid structures with the same physical size, and the blast resistance of HSS was significantly affected by the hollow sphere diameter and wall thickness, frame length and width, opening size and opening density. Closed-cell HSS with smaller hollow sphere diameters and thicker wall, or smaller frame lengths and widths would achieve the optimal blast resistance. Meanwhile, the blast resistance of HSS could be improved by adopting a smaller opening size, but the effect of opening density did not follow any rule, which was affected by the number and position of openings. Comprehensively, the blast resistance of HSS was enhanced when there was opening only at the face blast surface rather than at both the face blast surface and back blast surface.

New anthropometric indices in the definition of metabolic syndrome in pediatrics

Pediatrics metabolic syndrome (MetS) may be associated with the risk of development of chronic diseases in adulthood; however, the definition of pediatric MetS is unclear, and may vary with ethnicity. The primary goal of this study was to determine the best anthropometric predictors for pediatric MetS. For this purpose, 988 high school girls were recruited. Anthropometric indices and biochemical parameters were measured using standard procedures. The adapted MetS for pediatrics, including the IDF, NCEP, and two modified-NCEPs (Cook's and DeFerranti's) were used to establish a diagnosis of MetS. Statistical analysis was performed using SPSS and MedCalc softwares. Except for body frame size (r), the values for anthropometric indices were significantly lower in an individual without MetS. Waist to height (WHtR), BMI and hip circumference (HiC) showed the strongest association with the different MetS definitions. For the IDF definition, the highest sensitivity and specificity were observed for HiC (100.0, 85.2) and WHtR (100.0, 84.7); while for the NCEP definition, the r index showed the highest sensitivity (85.0); but low specificity made it inapplicable. For the Cook's definition of MetS, wrist circumference (WrC), HiC, WHtR, BMI and SR had similar sensitivity values with WC (92.9%), and HiC (85.3%) have the highest specificity. WHtR (86.05, 80.5), SR (86.05, 82.7) and HiC (76.7, 87.0) sensitivity and specificity were the best indexes for DeFerranti's criteria. Based on this date, we concluded that HiC and WHtR might be helpful as auxiliary indexes for pediatric MetS definition; however, further studies are required in both genders.

Бібліографічна посібники 1930-х рр. в репертуарі західноукраїнської та української еміграційної книги: жанрово-тематичний діапазон, особливості методики укладання

In the 1930s, the scientific and bibliographical activity was localized in the western Ukrainian lands and in the emigration centers. As far as a thorough and comprehensive study of the bibliographic product, as a separate segment of the Ukrainian book publishing process during this period, has not been carried out, the disclosure of the methodological approaches and methods for making bibliographic indexes, in view of their thematic and genre characteristics, is relevant and important. The research being done, has shown that the bibliographic segment of the repertoire of the western Ukrainian and the whole Ukrainian emigration books of the 1930s was formed by the auxiliary advisory, book publishing guides of different genres. The most significant were the auxiliary indexes, which were divided into universal, sectoral, thematic, and personal ones. The members of the Bibliographic (since 1934 – the Bibliologic) Comission of the Shevchenko Scientific Society (NTSh) in Lviv Volodymyr Doroshenko, Yevhen Yulij Penenskyj, Petro Zlenko, Ivan Shendryk played a decisive role in their preparation. These editions are perfect in their level of the methodology, as far as their compilers were real experts. The reference bibliographic indexes and lists, represented primarily by the editions of «Prosvita», corresponded the cultural and educational objectives of this Institution. The book catalogs advertised the production of numerous publishers and bookstores, among which the bookstore of NTSh was the most active. The content indexes of periodicals, especially «Novi Shlachy» by Ivan Krushelnytskyj and «Nova Zoria» by Olexandr Moch, should be mentioned. The results of the research can be used for studies in the history of the bibliography of the interwar period, the study of the scientific inheritance of bibliographers and scientific societies, publishers and bookstores.

A New Cell-Level Search Based Non-Exhaustive Approximate Nearest Neighbor (ANN) Search Algorithm in the Framework of Product Quantization

Non-exhaustive search is widely used in the approximate nearest neighbor (ANN) search. In this paper, we propose a new cell-level search-based non-exhaustive ANN search algorithm in the framework of product quantization (PQ) called cell-level PQ to speed up the ANN search. The cell-level search is introduced by searching all the PQ cells of the query vector on the cell level, and the length of the candidate list can be significantly reduced with negligible computational costs. Instead of using the high time-consuming coarse quantizers, which are necessary in all of the existing non-exhaustive ANN search algorithms such as inverted files (IVFs) and inverted multi-index (IMI), our proposed cell-level PQ reuses the PQ cells of query vector to reject database vectors so that the ANN search in the framework of PQ can be efficiently speeded up. In addition, because our proposed cell-level PQ does not need to store the auxiliary indexes of coarse quantizers for each database vector, no extra memory consumption is required. The experimental results on different databases demonstrate that our proposed cell-level PQ can significantly speed up the ANN search in the framework of PQ, and meanwhile, the search accuracy is almost the same as that of the standard PQ.

Relationship between the endothelial glycocalyx and the extent of coronary atherosclerosis

To investigate the correlation between the EG and the severity of coronary atherosclerosis. A total of193 subjects were divided into two groups. A SDF video microscope with a glycocalyx thickness measurement system was used to visualize the sublingual microcirculation. The levels of HA in the peripheral circulation and coronary circulation were determined via enzyme-linked immunosorbent assay. The number of coronary artery lesions and the Gensini score were used to evaluate the severity of the coronary atherosclerosis. EG thickness in the coronary heart disease (CHD) group (242.18±10.10nm) was lower than that in the NON-CHD group (251.78±10.59nm, P<0.001). There was a negative correlation between the EG thickness and the number of coronary lesions and the Gensini score. The level of intracoronary HA in the CHD group (48.60, 126.27) was higher than that in the NON-CHD group (20.60, 34.45, P<0.001), and it was positively correlated with the number of coronary lesions and the Gensini score. EG damage was correlated with the occurrence and development of coronary atherosclerosis. The EG thickness in the capillaries of the oral submucosa and the intracoronary HA level can be used as auxiliary indexes to assess the severity of coronary atherosclerosis.