Quantitative Assessment Research Articles

Blood Volume Analysis of Total Artificial Heart Recipients: A Case Series.

Blood volume analysis provides a quantitative volume assessment in patients with equivocal or discordant clinical findings. Reports on its use in mechanical circulatory support are limited and it has never been described in patients with a total artificial heart. Our series demonstrates that patients supported with total artificial heart as a bridge to transplant have significant reductions in red blood cell volume and heterogeneous adaptations in their total blood volume and plasma volume. Pathologic derangements in our patient's total blood volume were targeted to restore euvolemia.

Investigation of the Stability Mechanism of Stimulus-Responsive Wormlike Micelle-CO2 Foams in the Oil Phase.

Foam flooding is an important tool for reservoir development. This study aims to further investigate the interaction between stimulus-responsive wormlike micelle (WLM)-CO2 foams and crude oil. We performed micromorphology experiments as our major studies and used molecular dynamics simulations as an auxiliary tool for interfacial analysis. We utilized foam generation, liquid separation, and defoaming as the entry points of experimental research and energy as the quantitative assessment index to investigate the dynamic process of the action of different oil contents and oil phase types in a DOAPA@NaSal-H+ foam system. We also examined the role of NaSal in the generation and development of the foam system. Results indicated that the law of crude oil's effect on foam could be summarized as "low contents are beneficial and high contents are harmful." In addition, although the DOAPA@NaSal-H+ foam system has high compatibility for saturated and aromatic hydrocarbons, it is highly suitable for application in reservoir environments with relatively high asphaltene and resin contents. Through combined experimental and simulation approaches, we clarified the law governing the stability of the DOAPA@NaSal-H+ foam system in different oil-containing environments, identified the key role of NaSal, and provided a reference for the targeted application of the DOAPA@NaSal-H+ foam system in different oil reservoirs.

A vulnerability evaluation method of earthen sites based on entropy weight-TOPSIS and K-means clustering

The degradation of earthen sites due to natural and human factors has become a pressing issue, necessitating urgent protection measures. In this context, accurate assessment of the vulnerability of earthen sites is essential for the development of effective conservation strategies. In this study, a comprehensive evaluation framework that incorporates multiple indicators is proposed. In particular, the entropy weight- (Technique for Order Preference by Similarity to an Ideal Solution) TOPSIS method is employed for quantitative vulnerability assessment and combined with K-means clustering to define vulnerability levels for earthen sites. To validate the proposed approach, the vulnerability of 29 sections of the Ming Great Wall is evaluated. Eventually, the 29 earthen sites are categorized into three levels: high, medium, and low, according to their degree of vulnerability. The results of gray correlation analysis and entropy weight-TOPSIS method are compared using the ontology missing amount in the original data as the validation standard. The results show that the Pearson correlation coefficient value of the entropy weight-TOPSIS method with the ontology missing amount was 0.859, while the Pearson correlation coefficient value of the gray correlation analysis method with the ontology missing amount was 0.691, so that the results of the entropy weight-TOPSIS method can more accurately reflect the actual vulnerability of earthen sites.

Cardiovascular autonomic failure in hereditary transthyretin amyloidosis and TTR carriers is an early and progressive disease marker.

The cardiomyopathic and neuropathic phenotype of hereditary transthyretin amyloidosis are well recognized. Cardiovascular autonomic dysfunction is less systematically and objectively assessed. Autonomic and clinical features, quantitative cardiovascular autonomic function, and potential autonomic prognostic markers of disease progression were recorded in a cohort of individuals with hereditary transthyretin amyloidosis and in asymptomatic carriers of TTR variants at disease onset (T0) and at the time of the first quantitative autonomic assessment (T1). The severity of peripheral neuropathy and its progression was stratified with the polyneuropathy disability score. A total of 124 individuals were included (111 with a confirmed diagnosis of hereditary transthyretin amyloidosis, and 13 asymptomatic carriers of TTR variants). Symptoms of autonomic dysfunction were reported by 27% individuals at T0. Disease duration was 4.5 ± 4.0years [mean ± standard deviation (SD)] at autonomic testing (T1). Symptoms of autonomic dysfunction were reported by 78% individuals at T1. Cardiovascular autonomic failure was detected by functional testing in 75% individuals and in 64% of TTR carriers. Progression rate from polyneuropathy disability stages I/II to III/IV seemed to be shorter for individuals with autonomic symptoms at onset [2.33 ± 0.56 versus 4.00 ± 0.69years (mean ± SD)]. Cardiovascular autonomic dysfunction occurs early and frequently in individuals with hereditary transthyretin amyloidosis within 4.5years from disease onset. Cardiovascular autonomic failure can be subclinical in individuals and asymptomatic carriers, and only detected with autonomic function testing, which should be considered a potential biomarker for early diagnosis and disease progression.

Batch Sintering of FeO·OH and Fe2O3 Blends: Chemical and Metallurgical Characterization

A sample of goethite iron ore sinter feed (G_SF) was employed as a raw material in a sintering bed. This sample partially replaced hematite sinter feed (H_SF), which is currently used as raw material in a sintering plant in the state of Minas Gerais, Brazil. This substitution did not adversely affect the chemical and metallurgical proprieties of the sinter mix product, provided that the utilization of G_SF was kept below 30% in weight. Despite the higher proportion of fines in G_SF, the presence of argillaceous minerals in the sample led to an improvement in the granulation index (GI) of the sinter mix product. The GI value increased from 68.4 to 82.7% for the experiments conducted without the presence of goethite ore and with 40% of goethite ore in the sintering mix, respectively. Consequently, the qualities of both the process and the produced sinter product were not compromised. The raw materials and the various sinters produced were characterized through X-ray fluorescence (XRF) and X-ray diffraction (XRD), as well as thermal gravimetric analysis (TGA). The XRD results were used to perform a quantitative assessment of the mineral phase using the Rietveld method (RM). This technique allowed for the determination of goethite content in the studied sample, which was 35.5%. Finally, the incorporation of G_SF in the sintering bed led to a 20% reduction in the cost of raw materials.

Beyond built environment: Unveiling the interplay of streetscape perceptions and cycling behavior

As an important means of shared micro-mobility, shared bicycles have become a crucial component of urban transportation in China. The impact of the built environment on bicycling has been widely acknowledged. However, can streetscape perceptions influence bicycle-sharing volume (BSV) and supplement the built environment? We first obtained millions of pieces of shared-cycling data from the Shenzhen Open Data Platform and carried out geographical quantification of BSV. As for streetscape, we improved the classification of subjective streetscape perception based on street view images using the k-means clustering algorithm and conducted predictions using XGBoost. Through the application of different regression models, we unveiled the nonlinear spatial interdependencies between BSV and streetscape perceptions as a complement to the built environment. Our findings indicate that greenery, vivid street-front facades, and diverse street facilities can promote BSV. Targeted strategies are proposed for different districts. For instance, urban planners can provide incentives for high-income groups in central urban areas to adopt active travel, and increase the supply of shared bicycles in suburban areas with high building density, particularly in industrial urban villages. As a supplement to the long-term planning recommendations derived from the macro-built environment analysis, an in-depth spatial perception quantitative assessment proffers a human-centric, flexible blueprint for urban street design.

Photoacoustic/ultrasound dual-modal imaging of human nails: A pilot study

Traditional diagnostic techniques including visual examination, ultrasound (US), and magnetic resonance imaging (MRI) have limitations of in-depth information for the detection of nail disorders, resolution, and practicality. This pilot study, for the first time, evaluates a dual-modality imaging system that combines photoacoustic tomography (PAT) with the US for the multiparametric quantitative assessment of human nail. The study involved a small cohort of five healthy volunteers who underwent PAT/US imaging for acquiring the nail unit data. The PAT/US dual-modality imaging successfully revealed the fine anatomical structures and microvascular distribution within the nail and nail bed. Moreover, this system utilized multispectral PAT to analyze functional tissue parameters, including oxygenated hemoglobin, deoxyhemoglobin, oxygen saturation, and collagen under tourniquet and cold stimulus tests to evaluate changes in the microcirculation of the nail bed. The quantitative analysis of multispectral PAT reconstructed images demonstrated heightened sensitivity in detecting alterations in blood oxygenation levels and collagen content within the nail bed, under simulated different physiological conditions. This pilot study highlights the potential of PAT/US dual-modality imaging as a real-time, noninvasive diagnostic modality for evaluating human nail health and for early detection of nail bed pathologies.

Quantitative assessment of the troCarWash™ system for automated laparoscopic camera cleaning.

Soilage of the surgical endoscope occurs frequently during minimally invasive surgery. The resultant impairment of visualization of the surgical field compromises patient safety, prolongs operative times, and frustrates surgeons. The standard practice for cleaning the surgical camera involves a disruption in the conduct of surgery by completely removing the endoscope from the field, manually cleaning its lens, treating it with a surfactant, and reinserting it into the patient; after which the surgeon resumes the procedure. We developed an automated solution for in vivo endoscope cleaning in minimally invasive surgery- a port that detects the position of the endoscope in its distal lumen, and precisely and automatically delivers a pressurized mist of cleaning solution to the lens of the camera. No additions to the scope and minimal user interaction with the port are required. We tested the efficacy of this troCarWash™ device in a porcine model of laparoscopy. Four board-certified general surgeons were instructed to soil and then clean the laparoscope using the device. Representative pre- and post-clean images were exported from the surgical video and clarity was graded (1) digitally by a canny edge detection algorithm, and (2) subjectively by 3 blinded, unbiased observers using a semi-quantitative scale. We observed statistically significant improvements in clarity by each method and for each surgeon, and we noted significant correlation between digital and subjective scores. Based on these data, we conclude that the troCarWash™ effectively restored impaired visualization in a large animal model of laparoscopy.

Quantitative blood loss measurement methods for early detection of primary postpartum haemorrhage following vaginal birth: A scoping review.

To map the commonly used quantitative blood loss measurement methods in clinical practice and provide a solid foundation for future studies. This study adhered to the JBI methodology for scoping reviews and preferred reporting items for systematic reviews and meta-analyses extension for scoping reviews. We conducted a literature search using five databases to retrieve articles published between January 2012 and September 2022. The search was repeated on 29 February 2024. Data extraction and verification were carried out by two independent researchers using a self-designed data extraction form. Ultimately, 26 studies published between 2012 and 2024 were considered eligible for inclusion. Six categories of methods were identified from the 26 articles. Among the included studies, only two involved randomized controlled trials, with the majority being observational studies. The World Health Organization (2012) version of the postpartum haemorrhage diagnostic criteria was predominantly used in most studies. Gravimetric and volumetric methods emerged as the most commonly used methods for quantifying postpartum haemorrhages. The timing of blood collection was inconsistent among the included studies. Only 12 studies mentioned measures for the management of amniotic fluid. This scoping review supports the replacement of the visual estimation of blood loss with quantitative assessment methods. Supporting a specific assessment approach is not feasible due to the variability of the study. Future research should focus on establishing the best practices for specific quantitative methods to standardize the management of postpartum haemorrhage and reduce the incidence of postpartum haemorrhage-related adverse outcomes. Healthcare professionals need to acknowledge the low accuracy of visual estimation methods and implement quantitative methods to assess postpartum blood loss. Given the limitations inherent in each assessment method, quantification of blood loss should be combined with assessment of maternal vital signs, physiologic indicators and other factors.

Stability of Vanadium Doped Transition Metal Dichalcogenides under Etching Atmosphere

Two‐dimensional (2D) transition metal dichalcogenides (TMDs) have attracted intensive interests for its unique electronic, optical, and thermal properties. Doping is necessary to expand the application. However, the stability of doped materials has been overlooked. This study focuses on the stability of monolayer‐doped MoS2 with different vanadium (V) concentrations. It provides a quantitative assessment of the etching results. Findings indicate that the stability of MoS2 under different etching atmospheres follows the series of lightly doped MoS2 (LD), pristine MoS2 (PR), moderately doped MoS2 (MD), and highly doped MoS2 (HD). Our research indicates that the stability of the material is linked to the bonding energy of cations and anions, as well as the amount of lattice distortion, which competes with one another. Low levels of V doping do not lead to significant lattice distortion, and the binding energy between sulfur (S) and V surpasses that of molybdenum (Mo), which is the primary factor. Excessive doping results in lattice distortion, which leads to a multitude of defects and a reduction in durability. This work is important for guiding the assessment of the reliability, the protection of degradation, and application scenarios of TMDs.This article is protected by copyright. All rights reserved.

An Automated Method for Pipe Routing in Ship Unit Modules

This study addresses challenges in ship arrangement design by proposing an automated pipe routing method in ship unit modules. Currently, designers rely on experience, lacking quantitative assessments and causing difficulties for non-experts. The proposed method incorporates expert knowledge and design rules into an expert system, evaluating expertise and adherence to rules. The system’s evaluation result was used as the objective function of an optimization problem formulated for pipe routing in conjunction with metrics such as total pipe length, the number of bends, and space availability. Through validation by comparing actual unit module designs, it is demonstrated that the proposed method suggested improved pipe routing design while adhering to expert knowledge.

Multiomics approach towards characterization of tumor cell plasticity and its significance in precision and personalized medicine.

Cellular plasticity refers to the ability of cells to change their identity or behavior, which can be advantageous in some cases (e.g., tissue regeneration) but detrimental in others (e.g., cancer metastasis). With a better understanding of cellular plasticity, the complexity of cancer cells, their heterogeneity, and their role in metastasis is being unraveled. The plasticity of the cells could also prove as a nemesis to their characterization. In this review, we have attempted to highlight the possibilities and benefits of using multiomics approach in characterizing the plastic nature of cancer cells. There is a need to integrate fragmented evidence at different levels of cellular organization (DNA, RNA, protein, metabolite, epigenetics, etc.) to facilitate the characterization of different forms of plasticity and cell types. We have discussed the role of cellular plasticity in generating intra-tumor heterogeneity. Different omics level evidence is being provided to highlight the variety of molecular determinants discovered using different techniques. Attempts have been made to integrate some of this information to provide a quantitative assessment and scoring of the plastic nature of the cells. However, there is a huge gap in our understanding of mechanisms that lead to the observed heterogeneity. Understanding of these mechanism(s) is necessary for finding targets for early detection and effective therapeutic interventions in metastasis. Targeting cellular plasticity is akin to neutralizing a moving target. Along with the advancements in precision and personalized medicine, these efforts may translate into better clinical outcomes for cancer patients, especially in metastatic stages.

УДОСКОНАЛЕННЯ КОНЦЕПТУАЛЬНИХ ЗАСАД ЄВРОІНТЕГРАЦІЇ ТА ФІНАНСОВО-ПРАВОВІ МЕХАНІЗМИ ПРИСКОРЕННЯ ВСТУПУ УКРАЇНИ В ЄС

Introduction. Since 2022, Ukraine has been following the path of “classical accession” to the EU, which involves the compliance with the Copenhagen criteria and adoption of the common EU legislation (acquis) in 33 policy areas/ chapters. But advancement withing this scenario is a long and resource-intensive process. Problem Statement. The urgent task is to find an optimal model of joining the EU with coherence to a reasonable time frame of this course, achieving high results of European integration and identification of the sources of funding for carrying out reforms and overcoming the consequences of the war after reducing the potential of the Ukraine Facility. Purpose - identification of the current financial and legal problems of the European integration process for Ukraine, generalization of the methodological pillars of the concept of staged accession to the EU as a more progressive version over the classic accession model, design of the policy proposals for updating monitoring tools and financial incentives for progressing across the subsequent stages towards the EU membership. Methods. General scientific and special methods are applied: reviews of theoretical sources, advisory and research papers, analysis of statistical data and legal documents, historical method, logical method, methods of comparison and synthesis. Results. The article summarizes the methodological pillars of the concept of staged accession to the EU, systematizes the legal mechanisms of negotiations and obtaining EU membership, shows the financial aspects of the European integration process, including access to the EU cohesion funds, and elaborates practically important proposals for the activity of the EU institutions and national bodies as to the operationalization of the model of staged accession. Conclusions. The staged accession model is the most holistic and logically structured concept that can evolve a predictable progress towards the EU membership. The model should be based on the European Commission's quantitative assessments of countries' preparedness for the membership within the framework of negotiating clusters and chapters. A system of performance indicators is also required that will record progress of the candidate countries across stages and will set the ground for disbursements from the EU funds in line with specified ratios. Since 2028, the new EU medium-term fiscal framework should provide for the formation of new funds to finance the recovery of Ukraine's economy and the application of the EU's cohesion policy towards Ukraine.

Patient-Reported Experiences of Supportive Cancer Care during the COVID-19 Pandemic

Background. During the COVID-19 pandemic, people affected by cancer were in need of information about the virus and about the (self-) management of cancer symptoms and treatment. It is important to understand how patients with cancer navigated through the pandemic and to explore their experience relating to their supportive care needs. Aim. This study aimed to describe the experience of Swiss oncological patients during the COVID-19 pandemic with additional supportive cancer care. Methods. A single-center study was conducted in 2021. Patients with melanoma, breast, lung, or colon cancer who received active systemic anticancer treatment at the time of the COVID-19 pandemic and who were additionally seeing either oncology clinical nurse specialists, integrative medicine physicians, or both were included. We conducted semistructured interviews alongside the patient-reported quantitative assessment of distress and resilience. Thematic analysis was performed for the qualitative data and descriptive statistics for the quantitative data. Results. Eighteen patients with cancer were interviewed. Patients seeing an integrative medicine physician highlighted that they positively felt being addressed as a whole person during the consultations. The oncology clinical nurse specialists were perceived as the first point of contact for the patients and had more time during the pandemic compared to what the patients normally received. In general, patients did not experience delays or disruptions in their cancer treatment. As immunosuppressed and fatigued patients with cancer, they felt supported by the restrictions and hygienic measures. Access to vaccination reassured patients against the risk of infection. These results were reflected in the quantitative data, as we found moderate distress levels (M = 4.1; SD = 2.5) and high resilience scores (M = 7.5; SD = 0.9) in this patient population. Conclusion. During the COVID-19 pandemic, patients with cancer felt particularly supported by integrative medicine and cancer nurse consultations. Secured resources for nursing consultations and integrative medicine services can help to address the supportive care needs of patients with cancer.

A Quantitative Assessment of Air Particulate Matter Concentration and Its Correlation with the Climatic Factor of Dinajpur City, Bangladesh

Particulate matter (PM) is the air pollutant that poses the most significant risk to human health compared to other measured criteria pollutants. One of our main goals was to assess the quantities of particulate matter (0.3-10µm) in the Dinajpur municipality's sensitive zones, roads, and residential and commercial buildings. Light scattering particle counters, the Extech VPC-300, were used to measure particulate matter and climatic data at 26 distinct locations in Dinajpur. R 4.2.2 and the data analysis tool in Microsoft Excel were utilized for the statistical analysis. The highest values for PM 0.3, 0.5, 1, 2.5, 5, and 10 µm are 335195, 138118, 37965, 12995, 2087, and 2507 and medium value is accordingly 221304, 71873, 16681, 3393, 361 and 454, respectively. The PM 0.5 μm particle range, which includes 12 samples, is highly concerned and getting closer to the hazardous red polluted zone. Most places of PM 2.5 µm exceed the 2000 particles, which are hazardous for people. The link between climatic variables and particulate matter (PM 0.5-10 µm) significantly correlated with temperature. Humidity and PM (0.3-10 µm) measurements in the study area show a negative correlation. According to observations, factors contributing to the high PM concentration include excessive human movement, combustion byproducts of black smoke, road dust, waste, garbage in every possible place, and rice mill industry emissions.

Semantic image sorting method for RSVP presentation

Objective. The rapid serial visual presentation (RSVP) paradigm, which is based on the electroencephalogram (EEG) technology, is an effective approach for object detection. It aims to detect the event-related potentials (ERP) components evoked by target images for rapid identification. However, the object detection performance within this paradigm is affected by the visual disparity between adjacent images in a sequence. Currently, there is no objective metric to quantify this visual difference. Consequently, a reliable image sorting method is required to ensure the generation of a smooth sequence for effective presentation. Approach. In this paper, we propose a novel semantic image sorting method for sorting RSVP sequences, which aims at generating sequences that are perceptually smoother in terms of the human visual experience. Main results. We conducted a comparative analysis between our method and two existing methods for generating RSVP sequences using both qualitative and quantitative assessments. A qualitative evaluation revealed that the sequences generated by our method were smoother in subjective vision and were more effective in evoking stronger ERP components than those generated by the other two methods. Quantitatively, our method generated semantically smoother sequences than the other two methods. Furthermore, we employed four advanced approaches to classify single-trial EEG signals evoked by each of the three methods. The classification results of the EEG signals evoked by our method were superior to those of the other two methods. Significance. In summary, the results indicate that the proposed method can significantly enhance the object detection performance in RSVP-based sequences.

Fuelling the Future with Safe Hydrogen Transportation Through Natural Gas Pipelines: A Quantitative Risk Assessment Approach

AbstractThe global transition to clean and sustainable energy sources has sparked interest in hydrogen as a potential solution to reduce greenhouse gas emissions. Efficient and safe transportation of hydrogen is crucial for its integration into the energy network. One approach is utilizing existing natural gas infrastructure, but it introduces unique challenges. Hydrogen has distinct characteristics that pose potential hazards, requiring careful consideration for safe transportation through natural gas pipelines. Moreover, the absence of field data on component failure rates adds to the existing uncertainty in Quantitative Risk Assessment (QRA) for hydrogen transportation. QRA plays a vital role in enabling the safe deployment of hydrogen transportation through existing pipelines and is increasingly integrated into the permitting process. The lack of data impedes the comprehensive understanding of risks associated with hydrogen transportation. This paper aims not only to analyse the effects of hydrogen blending ratios on gas dispersion, release rates, jet fires, and explosions in natural gas pipelines, but also highlight the disparities in leak frequencies currently used for hydrogen or blended hydrogen. A QRA for hydrogen blending in natural gas pipelines is novel and timely because the behaviour of hydrogen in natural gas pipelines, a novel process with potential hazards, is not fully understood. Conducting a thorough QRA on hydrogen blending in gas pipelines, our study reveals innovative insights: higher blending ratios reduce release rates, impact safe distances, and maintain stable flame lengths. Despite an elevated explosion risk, scenarios remained below lethal overpressure values. This paper offers unique contributions to safety considerations in hydrogen transportation, guiding stakeholders toward informed decisions for a secure and sustainable energy future.

Illegal Activities of Cartel Organizations in the Field of Public Procurement as a New Object of Statistical Study

The sphere of public procurement and the disbursement of budget funds in all countries is an environment that attracts not only respectable entrepreneurs who want to make guaranteed money, but also various “criminal white-collar elements.” According to various estimates, the volume of financing for public procurement in the Russian Federation occupies up to one third of the total GDP. A large number of labor and financial resources are involved in this area, while regularly changing legislation in this area, as well as the complexity of procurement procedures for different categories of goods, works, and services create favorable conditions and allow unscrupulous bidders, as well as corrupt customer representatives, to obtain unjustified profits and illegal remuneration. In the current situation, the introduction of new control measures becomes vital to ensure fair competition and efficient use of budget funds. That is why additional research and measures aimed at eliminating these problems and the preconditions for their occurrence are an integral part of ensuring the effectiveness of the public procurement system and protecting public interests.Purpose of the research is to study the genesis of cartel agreements in public procurement and their impact on the implementation of national projects in the Russian Federation, as well as the impact of cartel agreements on the presence of healthy competition and the efficiency of spending budget funds. As part of the paper, the state of crime in this area was examined; the signs of cartel agreements, methods for identifying cartels, as well as signs of collusion between the customer and the participant in public procurement were identified.Methods and materials. The author in his paper applies a comprehensive methodological approach, including analysis of statistical data, methods of the general theory of statistics, as well as methods of synthesis and analysis. The main attention is paid to the analysis of the current legal regulation in the field of public procurement. Graphical and tabular methods were used to visualize statistical data. The study is based on data provided by the Ministry of Internal Affairs of Russia, the Federal Antimonopoly Service of Russia, the Federal Treasury of the Russian Federation, the Prosecutor General’s Office of the Russian Federation and the Judicial Department of the Supreme Court.Results of the study. The paper made a quantitative assessment of the scope of public procurement in recent years, and assessed the work carried out by law enforcement officials and the antimonopoly service. Typical violations of antimonopoly legislation during public procurement are given and methods for identifying them are proposed. The illegal schemes used by cartel participants in electronic trading are analyzed, as well as problematic issues and ways to resolve them that arise in practice. The paper proposes various approaches to increasing the efficiency of law enforcement and control agencies. An analysis of law enforcement practice revealed problems associated with proving crimes in this area, and noted an insufficient level of interaction between law enforcement agencies and the Federal Antimonopoly Service of the Russian Federation.Conclusion. In the study, the author analyzed the main features of cartels, proposed methods for identifying them, as well as ways to improve the verification activities carried out. The presented measures do not exhaust the topic of the study, and to effectively combat cartels, a systematic approach is recommended, including not only improving the quality of work of law enforcement and control agencies, but also improving the software and hardware used in carrying out inspections. Cartels in public procurement are a relatively new phenomenon for Russia; statistical data obtained from the Russian Ministry of Internal Affairs and the Judicial Department of the Supreme Court of the Russian Federation indicate that law enforcement and control authorities are just beginning their work to counter the criminal behavior of participants in cartel agreements. Only the fruitful joint work of law enforcement and control agencies will ensure the economic security of the state and protect the national interests of the Russian Federation.

DeepDive: estimating global biodiversity patterns through time using deep learning

Understanding how biodiversity has changed through time is a central goal of evolutionary biology. However, estimates of past biodiversity are challenged by the inherent incompleteness of the fossil record, even when state-of-the-art statistical methods are applied to adjust estimates while correcting for sampling biases. Here we develop an approach based on stochastic simulations of biodiversity and a deep learning model to infer richness at global or regional scales through time while incorporating spatial, temporal and taxonomic sampling variation. Our method outperforms alternative approaches across simulated datasets, especially at large spatial scales, providing robust palaeodiversity estimates under a wide range of preservation scenarios. We apply our method on two empirical datasets of different taxonomic and temporal scope: the Permian-Triassic record of marine animals and the Cenozoic evolution of proboscideans. Our estimates provide a revised quantitative assessment of two mass extinctions in the marine record and reveal rapid diversification of proboscideans following their expansion out of Africa and a >70% diversity drop in the Pleistocene.

Pediatric three-dimensional quantitative cardiovascular computed tomography.

High-resolution, isotropic, 3-dimensional (D) data from pediatric cardiovascular computed tomography (CT) offer great potential for the accurate quantitative evaluation of pediatric cardiovascular and pulmonary vascular diseases. Recent pilot studies using pediatric 3-D cardiovascular CT have shown promising results in assessing cardiac function in conditions such as tetralogy of Fallot, cardiac defects with a hypoplastic ventricle, Ebstein anomaly, and in quantifying myocardial mass. In addition, the quantitative assessment of pulmonary vascularity is useful for evaluating differential right-to-left pulmonary vascular volume ratio, the effectiveness of pulmonary angioplasty, and predicting pulmonary hypertension. These initial experiences could broaden the role of pediatric cardiovascular CT in clinical practice. Furthermore, the current barriers to its widespread use, pertinent solutions to these problems, and new applications are discussed. In this review, the 3-D quantitative evaluations of cardiac function and pulmonary vascularity using high-resolution pediatric cardiovascular CT data are illustrated.