bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimizing Outcomes through a Multidisciplinary Team Approach in Endometrial Cancer
Authors: Mangone Lucia , Marinelli Francesco , Bisceglia Isabella , Braghiroli Maria Barbara , Mastrofilippo Valentina , Pezzarossi Annamaria , Morabito Fortunato , Aguzzoli Lorenzo , Mandato Vincenzo Dario
Published: December 2023

This study aimed to assess the impact of a multidisciplinary team (MDT) approach on outcomes with endometrial cancer (EC) patients, utilizing 2013–2020 data from the Reggio Emilia Cancer Registry. Recurrence rate, treatments, and outcome indicators were compared between the MDT (319 cases) and non-MDT (324 cases) groups. Among 643 cases, 52.4% were over 65 years old, 98% had microscopic confirmation, and 73% were in stage I. Surgery was performed in 89%, with 41% receiving adjuvant therapies. Recurrence rates (10%) were similar between the two groups, but MDT patients who were older and predominantly in stage I exhibited 79% recurrence within one year (21% in the non-MDT group). Disease-free survival (DFS) showed no significant difference [HR 1.1; 95% CI 0.7–1.6], while differences in overall survival (OS) were notable [HR 1.5; 95% CI 1.0–2.4]. The 5-year OS rates were 87% and 79% in the MDT and non-MDT groups. Comparing the 2013–2015 to 2016–2020 study periods, a shift towards caring for older women, more advanced-stage patients, and those residing outside the metropolitan area, along with a greater number of relapsed cases (from 16% to 76%), were accounted for. These findings underscore the impact of an MDT on EC outcomes, highlighting the evolving patient demographics over time.
Future Intentions of Adolescents towards Physical Activity, Sports, and Leisure Practices
Authors: Ávalos-Ramos Mᵃ Alejandra , Pascual-Galiano Mᵃ Teresa , Vidaci Andreea , Vega-Ramírez Lilyan
Published: December 2023

The World Health Organization warns of alarmingly high levels of sedentary behavior in our current society. In terms of the adolescent population, a substantial percentage of them do not meet the global recommendations for weekly physical activity. Therefore, this qualitative study aimed to analyze the predisposition and future preferences for physical activity and sports (PAS) and leisure practices of 142 adolescents, as well as identifying the challenges and proposed improvements, while considering gender differences. The participants’ reflections were gathered through semistructured interviews and focus groups and subjected to an inductive analysis. The main findings indicate a high intention to engage in future PAS and leisure activity. Individual sports were predominantly mentioned by girls, while team sports were mainly favored by boys. Additionally, boys expressed a preference for technology-related leisure activities, whereas girls leaned towards artistic activities. The participants emphasized the necessity to renew sports and recreational facilities and to adapt to the range of activities offered. At the same time, they acknowledged that reallocating economic resources would improve the quality of sports and health-care services. Consequently, institutions should tailor their programs of PAS and leisure activities to align with the preferences, ages, and genders of the youth population.
On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure
Authors: Catbas F. Necati , Cano Jacob Anthony , Luleci Furkan , Walters Lori C. , Michlowitz Robert
Published: December 2023

This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds with varying densities, (i) fine (11 collection locations) and (ii) coarse (4 collection locations), collected via terrestrial LiDAR, are analyzed to generate geometry and structural sections. This geometry is compared to the structural plans, which are then converted into numerical models (finite element—FE model) based on the point cloud data. Point cloud-based FE models (based on fine and coarse data) are compared with the structural plan-based FE model. It is observed that the static and dynamic responses are comparable within an acceptable range of a maximum difference of 5.5% for static deformation and an 8.23% frequency difference, with an average difference of less than 5%. Additionally, the dynamic properties of the fine and coarse point cloud FE models are compared with the operational modal analysis data obtained from the bridge. The fine and course point-cloud-based FE models, without model calibration, achieve an average accuracy of 8.76% and 9.94% for natural frequencies and a 0.89 modal assurance criterion value. The research found that the digital data generation yields promising results in this case for a bridge if documentation or plans are unavailable. With recent technologies and approaches such as digital twins, the connection between physical and virtual entities needs to be established by fusing digital models, sensorial information, and other data forms for better infrastructure management. Models such as those investigated and discussed in this paper can assist engineers with structural preservation in conjunction with monitoring data and utilization for digital twins.
Conceptual Design of Public Charging Stations for Freight Road Transport
Authors: Hospodka Jakub , Sadil Jindřich , Bínová Helena , František Kekula , Oldřich Hykš , Magdalena Hykšová , Kristýna Neubergová
Published: December 2023

We present a comprehensive methodology for a two-step approach to address the task at hand. The first step involves the optimal placement of charging stations, while the second step focuses on determining the necessary capacity of the charging stations based on traffic factors. This methodology is applicable to countries, states, or specific areas where the placement and optimization of charging stations for truck road transport are being considered. We identify the key inputs required for solving such a task. In the results section, we demonstrate the outcomes using a model example for the Czech Republic.
Ceramic-on-Metal Bearing in Total Hip Arthroplasty—Was It So Bad? A Narrative Review and a Critical Analysis of the Literature
Authors: Saracco Michela , Ciriello Vincenzo , Spinarelli Antonio , Solarino Giuseppe , Goderecci Remo , Logroscino Giandomenico
Published: December 2023

Hip replacement has significantly improved the quality of life of patients with symptomatic hip osteoarthritis. Various bearings have been developed over the years. Each of these has advantages and disadvantages. On the one hand, Metal-on-Metal (MoM) has been associated with a high level of wear and metal ion release of chromium (Cr) and cobalt (Co). On the other hand, Ceramic-on-Ceramic (CoC) bearings, known to have a wear rate close to zero, have been associated with an increased risk of squeaking and component fracture. Ceramic-on-Metal (CoM), a hybrid hard-on-hard bearing, was proposed to overcome the CoC and MoM limits. Preliminary clinical and radiographical results have been described as favourable. Due to the failure of MoM and the increased risk of ion release and metal toxicity, CoM was withdrawn from the market without causing significant clinical complications. Data from the literature showed that CoM bearings are reliable and safe at medium- and long-term follow-up, if correctly implanted. In this narrative review, we analysed the real risks and benefits associated with the implantation of CoM bearings.
Fast Data Generation for Training Deep-Learning 3D Reconstruction Approaches for Camera Arrays
Authors: Barrios Théo , Prévost Stéphanie , Loscos Céline
Published: December 2023

In the last decade, many neural network algorithms have been proposed to solve depth reconstruction. Our focus is on reconstruction from images captured by multi-camera arrays which are a grid of vertically and horizontally aligned cameras that are uniformly spaced. Training these networks using supervised learning requires data with ground truth. Existing datasets are simulating specific configurations. For example, they represent a fixed-size camera array or a fixed space between cameras. When the distance between cameras is small, the array is said to be with a short baseline. Light-field cameras, with a baseline of less than a centimeter, are for instance in this category. On the contrary, an array with large space between cameras is said to be of a wide baseline. In this paper, we present a purely virtual data generator to create large training datasets: this generator can adapt to any camera array configuration. Parameters are for instance the size (number of cameras) and the distance between two cameras. The generator creates virtual scenes by randomly selecting objects and textures and following user-defined parameters like the disparity range or image parameters (resolution, color space). Generated data are used only for the learning phase. They are unrealistic but can present concrete challenges for disparity reconstruction such as thin elements and the random assignment of textures to objects to avoid color bias. Our experiments focus on wide-baseline configuration which requires more datasets. We validate the generator by testing the generated datasets with known deep-learning approaches as well as depth reconstruction algorithms in order to validate them. The validation experiments have proven successful.
Appraisal of the Physiological Response of Cakile maritima and Brassica juncea for Tolerating Lanthanum Stress
Authors: Bouslimi Houda , Dridi Nesrine , Ferreira Renata , Brito Pedro , Caçador Isabel , Hidouri Saida , Sleimi Noomene
Published: December 2023

Rare earth elements were extensively employed for many years to improve plant growth in farming. However, their effect on plant’s behavior relies on their concentration and the plant species. The impact of low doses of lanthanum (La; 1–10 µM) on plant growth, mineral uptake, and the production of secondary metabolites was assessed in two Brassicaceae species (Cakile maritime and Brassica juncea) after 14 days of La exposure. The La accumulation potential was also evaluated. Results showed that both species were able to maintain good dry biomass production under La. C. maritima plants accumulated more La than B. juncea, and a higher accumulation was noticed in the roots (in both plant species). Accordingly to La accumulation in plant tissues, nutrient absorption was affected in C. maritima shoots and roots, whereas no severe effect on nutrient contents was noticed in B. juncea. Phenolic compounds increased in the aerial and underground parts of both species; thus, the accretion was more notorious in shoots of the highest La concentrations. The studied Brassicaceae species showed an ability to survive in a La-contaminated medium. However, according to tolerance index values, C. maritima was found to be more tolerant of La than B. juncea.
A Review of Recent Developments in Friction Stir Welding for Various Industrial Applications
Authors: Bharti Shalok , Kumar Sudhir , Singh Inderjeet , Kumar Dinesh , Bhurat Swapnil Sureshchandra , Abdullah Mohamed Ruslan , Rahimian Koloor Seyed Saeid
Published: December 2023

Friction stir welding (FSW) has been recognized as a revolutionary welding process for marine applications, effectively tackling the distinctive problems posed by maritime settings. This review paper offers a comprehensive examination of the current advancements in FSW design, specifically within the marine industry. This paper provides an overview of the essential principles of FSW and its design, emphasizing its comparative advantages when compared with conventional welding techniques. The literature review reveals successful implementations in the field of shipbuilding and offshore constructions, highlighting design factors as notable enhancements in joint strength, resistance to corrosion, and fatigue performance. This study examines the progress made in the field of FSW equipment and procedures, with a specific focus on their application in naval construction. Additionally, it investigates the factors to be considered when selecting materials and ensuring their compatibility in this context. The analysis of microstructural and mechanical features of FSW joints is conducted, with a particular focus on examining the impact of welding settings. The study additionally explores techniques for mitigating corrosion and safeguarding surfaces in marine environments. The study also provides a forward-looking perspective by proposing potential areas of future research and highlighting the issues that may arise in the field of FSW for maritime engineering. The significance of incorporating environmental and economic considerations in the implementation of FSW for extensive marine projects is emphasized.
Telomere-to-Telomere Genome Assembly of Tibetan Medicinal Mushroom Ganoderma leucocontextum and the First Copia Centromeric Retrotransposon in Macro-Fungi Genome
Authors: Wang Miao , Meng Guoliang , Yang Ying , Wang Xiaofang , Xie Rong , Dong Caihong
Published: December 2023

A complete telomere-to-telomere (T2T) genome has been a longstanding goal in the field of genomic research. By integrating high-coverage and precise long-read sequencing data using multiple assembly strategies, we present here the first T2T gap-free genome assembly of Ganoderma leucocontextum strain GL72, a Tibetan medicinal mushroom. The T2T genome, with a size of 46.69 Mb, consists 13 complete nuclear chromosomes and typical telomeric repeats (CCCTAA)n were detected at both ends of 13 chromosomes. The high mapping rate, uniform genome coverage, a complete BUSCOs of 99.7%, and base accuracy exceeding 99.999% indicate that this assembly represents the highest level of completeness and quality. Regions characterized by distinct structural attributes, including highest Hi-C interaction intensity, high repeat content, decreased gene density, low GC content, and minimal or no transcription levels across all chromosomes may represent potential centromeres. Sequence analysis revealed the first Copia centromeric retrotransposon in macro-fungi genome. Phylogenomic analysis identified that G. leucocontextum and G. tsugae diverged from the other Ganoderma species approximately 9.8–17.9 MYA. The prediction of secondary metabolic clusters confirmed the capability of this fungus to produce a substantial quantity of metabolites. This T2T gap-free genome will contribute to the genomic ‘dark matter’ elucidation and server as a great reference for genetics, genomics, and evolutionary studies of G. leucocontextum.
A Matrix Coding-Oriented Reversible Data Hiding Scheme Using Dual Digital Images
Authors: Liu Jui-Chuan , Chang Ching-Chun , Lin Yijie , Chang Chin-Chen , Horng Ji-Hwei
Published: December 2023

With the development of Internet technology, information security and data protection have become particularly important. Reversible data hiding is an effective technique for data integrity and privacy protection, and secret image sharing is a distinct research field within reversible data hiding. Due to the ability of sharing secret information between two receivers and the larger embedding capacity compared to the traditional reversible data hiding scheme, dual digital images have also attracted extensive research in the past decade. In this paper, we propose a reversible data hiding scheme based on matrix coding using dual digital images. By modifying the bits in the pixels, we can conceal three bits of the secret message in two pixels. In other words, the embedding rate reaches 1.5 bits per pixel (bpp). The experimental results demonstrate that our method has a significantly larger embedding capacity of 786,432 bits compared to previous similar methods while still maintaining acceptable image quality defined by a peak signal-to-noise ratio (PSNR) greater than 30 dB. The proposed scheme is suitable for applications required to pass a large amount of data but with minor security of image quality to be visually acceptable.
Observer-Based Adaptive Consensus Protocol Design for Multi-Agent Systems with One-Sided Lipschitz Nonlinearity
Authors: Liu Xiaocheng , Chu Hongjun , Zhang Weidong
Published: December 2023

This paper considers the observer-based leader–follower consensus problem of multi-agent systems with one-sided Lipschitz conditions and quadratic inner-boundedness nonlinearity. Based on the relative outputs of neighboring agents, an adaptive protocol over a directed graph is designed via assigning a time-varying coupling weight to each node. Compared with the existing protocols, the proposed protocol can not only be utilized in the unidirectional flow of information, but it does not require any global graph information for its design. It has been shown that the established criteria can not only make the observer error tendency zero, but one can also achieve the leader–follower consensus of such nonlinear multi-agent systems. Furthermore, the gains of observer and protocol parameters can be constructed by solving the linear matrix inequalities (LMIs), which are conveniently checked. The results are illustrated by numerical simulations.
Equilibrium Figures for a Rotating Compressible Capillary Two-Layer Liquid
Authors: Denisova Irina Vladimirovna , Solonnikov Vsevolod Alexeevich
Published: December 2023

The paper proves the existence of a family of axisymmetric equilibrium figures as solutions of a stationary problem with unknown boundaries for the Navier–Stokes equations corresponding to the slow rotation of a viscous compressible two-layer liquid mass about some axis. It is assumed that the liquids are barotropic and capillary, and have different viscosities, the internal fluid being bounded by a closed surface. This interface does not intersect with the external boundary of the cloud. The proof is based on implicit function theorem and carried out in the Hölder spaces.
Enhancing Focus Volume through Perceptual Focus Factor in Shape-from-Focus
Authors: Ashfaq Khurram , Mahmood Muhammad Tariq
Published: December 2023

Shape From Focus (SFF) reconstructs a scene’s shape using a series of images with varied focus settings. However, the effectiveness of SFF largely depends on the Focus Measure (FM) used, which is prone to noise-induced inaccuracies in focus values. To address these issues, we introduce a perception-influenced factor to refine the traditional Focus Volume (FV) derived from a traditional FM. Owing to the strong relationship between the Difference of Gaussians (DoG) and how the visual system perceives edges in a scene, we apply it to local areas of the image sequence by segmenting the image sequence into non-overlapping blocks. This process yields a new metric, the Perceptual Focus Factor (PFF), which we combine with the traditional FV to obtain an enhanced FV and, ultimately, an enhanced depth map. Intensive experiments are conducted by using fourteen synthetic and six real-world data sets. The performance of the proposed method is evaluated using quantitative measures, such as Root Mean Square Error (RMSE) and correlation. For fourteen synthetic data sets, the average RMSE measure of 6.88 and correction measure of 0.65 are obtained, which are improved through PFF from an RMSE of 7.44 and correlation of 0.56, respectively. Experimental results and comparative analysis demonstrate that the proposed approach outperforms the traditional state-of-the-art FMs in extracting depth maps.
Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review
Authors: Deshpande Gargi , Beetch Jessica E. , Heller John G. , Naqvi Ozair H. , Kuhn Katrin Gaardbo
Published: December 2023

In the United States (US), tick-borne diseases (TBDs) have more than doubled in the past fifteen years and are a major contributor to the overall burden of vector-borne diseases. The most common TBDs in the US—Lyme disease, rickettsioses (including Rocky Mountain spotted fever), and anaplasmosis—have gradually shifted in recent years, resulting in increased morbidity and mortality. In this systematic review, we examined climate change and other environmental factors that have influenced the epidemiology of these TBDs in the US while highlighting the opportunities for a One Health approach to mitigating their impact. We searched Medline Plus, PUBMED, and Google Scholar for studies focused on these three TBDs in the US from January 2018 to August 2023. Data selection and extraction were completed using Covidence, and the risk of bias was assessed with the ROBINS-I tool. The review included 84 papers covering multiple states across the US. We found that climate, seasonality and temporality, and land use are important environmental factors that impact the epidemiology and patterns of TBDs. The emerging trends, influenced by environmental factors, emphasize the need for region-specific research to aid in the prediction and prevention of TBDs.
Progresses of Mid-Infrared Glass Fiber for Laser Power Delivery
Authors: Liang Xiaolin , Jiao Kai , Wang Xiange , Wang Yuze , Wang Yuyang , Bai Shengchuang , Wang Rongping , Zhao Zheming , Wang Xunsi
Published: December 2023

High-power laser delivery in infrared optical fiber has received much attention due to the urgent needs in the fields of national defense security, biomedicine, advanced manufacturing, and so on. In recent decades, there has been extensive research aimed at enhancing the capabilities of infrared laser power delivery through the purification of infrared glass or the optimization of fiber structures. This article provides an overview of common passive mid-infrared (MIR) optical fibers with numerous glasses and fiber structures, as well as their characteristics in laser power delivery. This review also highlights potential research directions and analyzes the challenges of passive mid-infrared fibers in the current applications.
Artificial Intelligence for Hybrid Modeling in Fluid Catalytic Cracking (FCC)
Authors: Acosta-López Jansen Gabriel , de Lasa Hugo
Published: December 2023

This study reports a novel hybrid model for the prediction of six critical process variables of importance in an industrial-scale FCC (fluid catalytic cracking) riser reactor: vacuum gas oil (VGO) conversion, outlet riser temperature, light cycle oil (LCO), gasoline, light gases, and coke yields. The proposed model is developed via the integration of a computational particle-fluid dynamics (CPFD) methodology with artificial intelligence (AI). The adopted methodology solves the first principle model (FPM) equations numerically using the CPFD Barracuda Virtual Reactor 22.0® software. Based on 216 of these CPFD simulations, the performance of an industrial-scale FCC riser reactor unit was assessed using VGO catalytic cracking kinetics developed at CREC-UWO. The dataset obtained with CPFD is employed for the training and testing of a machine learning (ML) algorithm. This algorithm is based on a multiple output feedforward neural network (FNN) selected to allow one to establish correlations between the riser reactor feeding conditions and its outcoming parameters, with a 0.83 averaged regression coefficient and an overall RMSE of 1.93 being obtained. This research underscores the value of integrating CPFD simulations with ML to optimize industrial processes and enhance their predictive accuracy, offering significant advancements in FCC riser reactor unit operations.
Fatal Hemoptysis Secondary to Severe Pulmonary Veins Stenosis and Fibrosing Mediastinitis following Radiofrequency Ablation for Atrial Fibrillation: A Case Report and Review of the Literature
Authors: Burduloi Vladut Mirel , Corciova Flavia Catalina , Sargu Gabriela Dumachita , Chistol Raluca Ozana , Rusu Alexandra Cristina , Stan Cristinel Ionel
Published: December 2023

Fatal hemoptysis secondary to severe pulmonary veins stenosis and fibrosing mediastinitis is an exceptional late complication of radiofrequency ablation for atrial fibrillation. We report the case of a 53-year-old male with a history of atrial fibrillation treated by radiofrequency ablation and admitted in our center 6 months after the procedure because of aggravating dyspnea and fatigability. Transthoracic echocardiography showed moderate dilation of right heart cavities, severe pulmonary hypertension and a turbulent flow in superior pulmonary veins. The cardiologist suspected pulmonary vein(s) stenosis and so cardiac computed tomography (CT) angiography was performed, with findings of severe stenosis of the right superior, right inferior and left inferior pulmonary veins, near-occlusion of the left superior pulmonary vein and the vein draining the apical segment of the right lower lobe. The CT scan also revealed soft tissue attenuation of the mediastinum posterior to the left atrium suggesting fibrosing mediastinitis together with parenchymal findings consistent with pulmonary veno-oclusive disease and an area of hemorrhagic infarction. Fatal hemoptysis occurred 3 days later, before treatment was attempted. In conclusion, severe pulmonary vein stenosis and fibrosing mediastinitis are rare but devastating complications of radiofrequency ablation. Prevention and early diagnosis are the key elements as these entities are potentially life-threatening.
Advancing the Use of Deep Learning in Loss Reserving: A Generalized DeepTriangle Approach
Authors: Feng Yining , Li Shuanming
Published: December 2023

This paper proposes a generalized deep learning approach for predicting claims developments for non-life insurance reserving. The generalized approach offers more flexibility and accuracy in solving actuarial reserving problems. It predicts claims outstanding weighted by exposure instead of loss ratio to remove subjectivity associated with premium weighting. Chain-ladder predicted outstanding claims are used as part of the multi-task learning to remove the dependence on case estimates. Grid-search is introduced for hyperparameter tuning to improve model performance. Performance-wise, the Generalized DeepTriangle outperforms both traditional chain-ladder methodology, the automated machine learning approaches (AutoML), and the original DeepTriangle model.
Graviton to Photon Conversion in Curved Space-Time and External Magnetic Field
Authors: Dolgov Alexander D. , Panasenko Lyubov A. , Bochko Vladimir A.
Published: December 2023

The suppression of relic gravitational waves due to their conversion into electromagnetic radiation in a cosmological magnetic field is studied. The coupled system of equations describing gravitational and electromagnetic wave propagation in an arbitrary curved space-time and in external magnetic field is derived. The subsequent elimination of photons from the beam due to their interaction with the primary plasma is taken into account. The resulting system of equations is solved numerically in the Friedman–LeMaitre–Robertson–Walker metric for the upper limit of the intergalactic magnetic field strength of 1 nGs. We conclude that the gravitational wave conversion into photons in the intergalactic magnetic field cannot significantly change the amplitude of the relic gravitational wave and their frequency spectrum.
Modern approaches to onychomycosis pharmacotherapy
Authors:   Kazan State Medical Academy — Branch Campus of the Russian Medical Academy of Continuous Professional Education, Kazan, Russian Federation, Mamleeva A. F. , Kanunikova E. A. ,   FSBEI HE I. M. Sechenov First Moscow State Medical University of the Ministry of Health of Russia (Sechenov University), Moscow, Russian Federation, Maksimov M. L. ,   Kazan State Medical Academy — Branch Campus of the Russian Medical Academy of Continuous Professional Education, Kazan, Russian Federation,   Pirogov Russian National Research Medical University, Moscow, Russian Federation
Published: December 2023

The authors carried out a research of literary sources in the field of modern methods of onychomycosis therapy. Drugs for topical and systemic therapy, prescribing regimens for systemic antifungal drugs, principles for therapy selections, and indications for the use of systemic antifungals are considered.
The use of femoral nerve block during knee arthroscopy in a short-term hospital setting
Authors:   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department, Bedin V. V. , Vengerov V. Yu. ,   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department, Makarov O. V. ,   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department, Koroleva N. I. ,   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department, Naiman A. I. ,   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department, Stramilov D. A. ,   SBHI City Clinical Hospital named after S.P. Botkin of the Moscow Healthcare Department
Published: December 2023

Today, knee arthroscopy (AKS) is the operation of choice in the treatment of meniscus damage of the knee joint. Many studies have proven the safety and minimal invasiveness of this method of surgical treatment, and the risks of possible complications of the intervention, in general, do not exceed 5 % [1]. This article provides a review of modern literature data and analyzes the experience of using femoral nerve block during knee arthroscopy in a short-term hospital on the basis of the State Budgetary Healthcare Institution of the City Clinical Hospital named after. S. P. Botkin.
Diagnóstico del sistema de gestión documental en el hospital Natalia Huerta de Niemes Rocafuerte-Ecuador
Authors: Montes Mesías Coraima Katherine , Saltos Catagua Lila María , Gómez Mieles Juan Manuel
Published: December 2023

La gestión documental es el proceso elemental para la adecuada organización de los documentos aplicando técnicas y normas estandarizadas. El objetivo de esta investigación es evaluar el sistema de gestión documental y organización de archivo del hospital Natalia Huerta de Niemes, del cantón Rocafuerte provincia de Manabí-Ecuador, considerando que los documentos constituyen evidencia fiel de los procesos de esta casa de salud. Para el desarrollo de la investigación se realizó un estudio descriptivo con enfoque cualitativo, que permitió abordar las características principales del sistema desde su funcionamiento y aplicación de procesos y procedimientos para el manejo del acervo documental. Para la revisión bibliográfica se aplicó el método de análisis documental mediante la revisión de los supuestos teóricos en el abordaje del tema. El muestreo es no probabilístico, de carácter intencional, a través de la técnica de la entrevista estructurada realizada al personal que labora en el archivo. Para la obtención de datos se elaboró una ficha de observación con ítems que identifican los procedimientos que se desarrollan. Entre los principales resultados se destaca la carencia de instrumentos normalizados que guíen el proceso de gestión documental, por consiguiente, se precisa elaborar política de gestión documental, manual de procedimiento, instructivos para mantenimiento y preservación de la información que genera este nosocomio. Se concluye que es necesario que la institución cuente con personal profesional en área específica; se sugiere que las autoridades destinen recursos humanos, financieros, técnicos y tecnológicos para una gestión eficaz y eficiente en el manejo de su fondo documental.
MODELING OF PERFORMANCE INDICATORS URBAN PASSENGER TRANSPORT AT MAINTENANCE OF NON-STATIONARY PASSENGER FLOWS
Authors:   Orenburg State University, RASSOKHA V.I. , NADIRYAN S.L. ,   Kuban State Technological University
Published: December 2023

Based on the stochastic nature of passenger flows in the urban passenger transport system, there is a possibility of a local discrepancy between the carrying capacity of the fleet of vehicles assigned to the urban route and the demand for transport services. A mathematical model has been developed to determine the efficiency of the transport process with the given structural parameters of the fleet of vehicles and the given parameters of demand. The model served as the basis for the development of a methodology for optimizing the number of vehicles assigned to the routes of urban passenger transport. Based on the results of the survey of a sample of passenger routes of the city of Krasnodar, the data necessary for building the model were determined, the optimization problem was solved. The resulting effect allows us to make a conclusion about the expediency of implementing the results of the study.
PROSPECTS FOR THE USE OF ROAD-RAIL-VEHICLE FOR PASSENGER TRANSPORTATION
Authors:   Russian University of transport, NASYBULLIN A.M. , AYSINA L.R. ,   Russian University of transport, DOMANI M.D. ,   Russian University of transport
Published: December 2023

The goal of research is analysis of potential using of road–rail vehicles to increase the transport accessibility of remote settlements.Analysis of global best practice and searching of potential districts for using road-rail vehicles in Russian federation are researching task. The Tomsk-Itatka-Nizhniye Sokoly-Asino route was considered as a pilot project. The article also shows the technological schedule of road-rail vehicle arrival on the railway track and mathematical ap-proaches to accounting for the carrier's expenses.
Study of the relationship between defense spending and the growth of the Russian economy, 2000–2022
Authors: Караев А.К. , Понкратов В.В. , Поздняев А.С.
Published: December 2023

Целью исследования является изучение динамической взаимосвязи между оборонными расходами и экономическим ростом России, за период 2000–2022 гг., на основе корреляционного анализа с применением метода вейвлет-анализа, позволяющего выявить эмпирические закономерности в отношениях между расходами на оборону и ростом ВВП на душу населения, которые невозможно было бы обнаружить традиционными методами анализа временных рядов во временной области. Результаты исследования свидетельствуют о том, что: на временном уровне от 4 до 8 лет корреляция переменных почти нулевая (–0.035), что свидетельствует об отсутствии взаимовлияния переменных на этом временном уровне; на временном уровне от 2 до 4 лет корреляция переменных отрицательная (–0.351), что свидетельствует о том, что рост оборонных расходов снижает рост ВВП на душу населения и наоборот — рост ВВП на душу населения приводит к снижению роста оборонных расходов; на временных масштабах от 1 до 2 лет и от 8 до 16 лет корреляция переменных положительна (0.114 и 0.827 соответственно), что свидетельствует о том, что рост одной переменной сопровождается ростом другой переменной. В целом, положительное влияние оборонных расходов на экономику и инвестиции в оборонную отрасль и укрепление обороноспособности страны в долгосрочной перспективе будут способствовать устойчивости роста экономической деятельности.

The purpose of the study is to study the dynamic relationship between military spending and economic growth in Russia for the period 2000–2022, based on correlation analysis using the wavelet analysis method, which allows us to identify empirical patterns in the relationship between defense spending and GDP growth per capita, which would not be detectable by traditional time series analysis methods in the time domain. The results of the study indicate that: at the time level from 4 to 8 years, the correlation of the variables is almost zero (–0.035), which indicates the absence of mutual influence of the variables at this time level; at a time level from 2 to 4 years, the correlation of the variables is negative (–0.351), which indicates that an increase in defense spending reduces the growth of GDP per capita and vice versa — an increase in GDP per capita leads to a decrease in the growth of defense spending; on time scales from 1 to 2 years and from 8 to 16 years, the correlation of variables is positive, (0.114) and (0.827), respectively, which indicates that the growth of one variable is accompanied by an increase in another variable. Overall, the positive impact of defense spending on the economy and investment in the defense industry and strengthening the country's defense capabilities will contribute to the sustainability of economic growth in the long term.
Audit is the main mechanism for managing fraud risks in an organization
Authors: Морозов В.А.
Published: December 2023

В статье исследуется механизм управления рисками мошенничества посредством оценки предполагаемой ответственности аудиторов в организации. Выявлено, что аудиторы играют решающую роль в управлении рисками мошенничества внутри организации: чувство ответственности аудиторов за выявление мошенничества; факторы, влияющие на восприятие ответственности; как ответственность влияет на работу аудитора. Применена треугольная модель ответственности (TMR) для изучения: ответственности и влияния подотчетности; типа мошенничества и аудитора на предполагаемую ответственность аудиторов за выявление мошенничества. Определено более высокое ощущение ответственности аудиторов с внешними аудиторами. Обосновано, что профессиональные обязательства и личный контроль сотрудников существенно связаны с ответственностью.

The article examines the mechanism of fraud risk management by assessing the alleged responsibility of auditors in the organization. Revealed: that auditors play a crucial role in managing fraud risks within organizations: auditors' sense of responsibility for detecting fraud; factors influencing the perception of responsibility; how responsibility affects the auditor's work. The triangular responsibility model (TMR) was applied to study: responsibility and the impact of accountability; the type of fraud and the auditor, on the alleged responsibility of auditors for detecting fraud. A higher sense of responsibility of auditors with external auditors is determined. It is proved that professional obligations and personal control of employees are significantly related to responsibility.
THE EFFECT OF JICAMA (Pachyrhizus erosus) CONCENTRATION ON THE GROWTH OF Staphylococcus aureus BACTERIA IN SOLID MEDIA
Authors: Mirawati Mega , Prasetyorini Tri , Irmadhani Fania
Published: December 2023

Background:Synthetic media for microbial growth are expensive, thus opening the way for making bacterial growth media using local raw materials at low prices. Jicama is one of the local raw materials that can be used as natural media for the growth of microorganisms. It contains a source of carbohydrates needed for the development of microorganisms. Aims: This study aims to determine the effect of variations in the concentration of Jicama, which has the potential to grow Staphylococcus aureus bacteria. Methods: This study used experimental research with the Static Group Comparison method. In this study, the experimental group Staphylococcus aureus was instilled in Jicama solid media with various concentrations (2%, 3%, 4%, 5%, 6%) with five repetitions. The results: The results showed that the average number of Staphylococcus aureus bacteria colonies in jicama flour with a concentration of 2% was 0, a concentration of 3% was 0, a concentration of 4% was 0.8, a concentration of 5% was 1.4, and at a concentration of 6% was 2.2. The results of the Kruskal-Wallis test with a degree of confidence of 0.05 obtained a p-value = 0.000 where the p-value 0.05 so that it can be concluded that there is a significant effect of variations in the concentration of jicama flour on the growth of Staphylococcus aureus bacteria. Conclusions: For future researchers, it is necessary to conduct further research using higher concentrations of jicama flour and by adding other nutrients, such as animal protein, so that the growth of Staphylococcus aureus bacteria is more optimal.
Estrategia pedagógica en la educación inicial virtual
Authors: Pássara-Bejarano María Emperatriz , Silva-Narvaste Bertha , Wong-Silva Jean Pierre
Published: December 2023

Para alcanzar la participación y los logros en el aprendizaje, los docentes de educación inicial, aplican acciones denominadas generación de materiales educativos virtuales. Algunas veces no se da en la organización pedagógica, generando distracción. Por ello, este estudio analizó las estrategias de los docentes en la Educación Inicial en la modalidad virtual; bajo una revisión sistemática, donde la búsqueda de fuentes y elegibilidad fue considerada desde los últimos 4 años, en bases de datos de Scopus, Ebsco, Scielo, Alicia, Redalyc, Dialnet, Springer, repositorio de la Universidad Cesar Vallejo, como también, herramienta My loft, usado como descriptor se usó “educación virtual en inicial”; “estrategias pedagógica en la educación inicial”, “modalidad virtual para preescolar”. Los resultados de búsqueda fueron 21 artículos que cumplían con los criterios de selección. Se concluye que, aunque los programas implementados por el gobierno peruano ofrecen actividades y recursos que potencian el desarrollo integral de los niños en sus competencias y desempeños, se enfrentan a numerosas limitaciones. Una de las barreras más prominentes es la falta de acceso a Internet, lo que impide que muchos niños y familias se beneficien plenamente de estos recursos educativos.
Análisis de la comprensión lectora en la educación
Authors: Cieza Altamirano Wilmer Percy
Published: December 2023

Se prevé que el 80% de alumnos de sexto grado en América Latina y el Caribe (ALC) no alcanzan el nivel mínimo de comprensión lectora. A través de este estudio se pretende analizar la comprensión lectora en la educación mediante una revisión sistemática, utilizando para la búsqueda bases de datos como Dialnet, Scopus, Scielo, Reladyc y Google Académico; los descriptores empleados fueron Reading comprehension, Reading development, Reading levels, Importance of reading comprehension. Como resultados de búsquedas se hallaron 2,124 estudios, detallados de la siguiente manera: 380 en Scopus, 512 en Dialnet, 396 en Scielo, 410 en Redalyc y 426 en Google; luego se procedió a la eliminación de publicaciones duplicadas o las que no tenían vínculo directo con el propósito del estudio quedando 24 fuentes para analizar previo criterio del cribado. Concluyendo que la comprensión lectora no es simplemente una habilidad aislada, sino un proceso dinámico y multifacético que se ve influenciado por diversos factores, entre los cuales se destacan los conocimientos previos del lector y las estrategias pedagógicas empleadas por los educadores
INCREASING THE CAPACITY OF POSYANDU CADRES IN DETECTION EARLY DANGEROUS SIGNS OF PREGNANCY THROUGH EXPOSURE WARNENG BOOKLET
Authors: Solihah Eneng , Warilana Warliana , Sugiarsih Ugi , Saepudin Asep , Saripah IIp , Sudrajat Ardiwinata Jajat
Published: December 2023

Intoduction : One of indicator of a country's health status is the Maternal Mortality Rate (MMR). Maternal mortality during pregnancy and childbirth and postpartum can theoretically be prevented, if pregnant women and the community understand how to detect and treat early warning signs when there are dangers.
Methode: organizing training using deductive models, using the Warneng Booklet for posyandu cadres
Aim: To increase the knowledge and skills of posyandu cadres in early detection of pregnancy danger signs and early management.
Result : There is an increase in knowledge of early detection of pregnancy danger signs by 5.76 points from the average pre-test value of 2.47 to 8.23 points. Increased knowledge of the early management of pregnancy danger signs from the average pre- test score of 1.78 to 7.9 and there was an increase in the skills of the posyandu cadres in providing education to pregnant women, as much as 6% can be seen from the difference in the average number of Yes, no questions on the checklist which was from 4, 90% to 10.90% from 12 observation points.
Conclusion: Deductive model tutoring using the Warneng Booklet can increase knowledge about early detection of danger signs and early management of pregnancy complications as well as skills in providing education by cadres to pregnant women
Использование вероятностных методов обработки геолого-геофизических данных на территории Восточно-Сибирской платформы для прогноза нефтегазовых перспектив концентрических структур
Authors:   Pushkov Institute of Terrestrial Magnetism, Ionosphere and Radio Wave Propagation, RAS, Moscow, Kharitonov A. L.
Published: December 2023

The study aims in showing the results of forecasting oil and gas prospects of some concentric structures in the East Siberian Platform area. The research was conducted using probabilistic data processing methods based on the use of preliminary analysis of various geological and geophysical data (histograms of the thickness of the Earth's crust, lithosphere, sedimentary layer, geothermal gradient, density of tectonic faults), evaluated for the main oil and gas basins in the Russian Federation. The results obtained were used to forecast oil and gas prospects of concentric structures in the East Siberian Platform area. In particular, probabilistic processing methods using five geological and geophysical types of data in the region were used to calculate probability values for fifteen different concentric structures. The results of using probabilistic methods for processing various types of geological and geophysical data, measured within several concentric structures on the territory of the East Siberian Platform are considered. According to the calculated probability values, the areas of three concentric structures (Nepsko-Botuobinskaya, Angarskaya, Sayano-Yeniseyskaya), located in the south of the East Siberian Platform promising for the search for new areas with hydrocarbon deposits, were predicted. Six other concentric structures (Kureyskaya, Tungusskaya, Bakhtinskaya, Kamovskaya, Yenisey-Khatangsk, Zabaikalskaya) require more comprehensive geological prospecting, as their individual sectors may be promising for oil and gas exploration.
Применение методов машинного обучения для классификации склонов по космическим снимкам на примере некоторых районов Северного Приохотья
Authors:   North-East Interdisciplinary Scientific Research Institute n. a. N. A. Shilo, FEB RAS, Magadan, Kolegov P. P.
Published: December 2023

The paper presents machine learning algorithms based on methods such as SVM, Random Forest, and k-Nearest Neighbors for classifying spectral-zone satellite images (Sentinel-2). Models generated using these methods and manual classification have been comparatively analized, parameters such as accuracy, recall, and F-measure presented. Practical applications include image reclassification the degree of slope openness from vegetation, and assessment of their morphometric characteristics. Data on the area distribution of dynamically active slopes and their exposure are obtained for the Del-Urekchen Mountains (4.0 %, 240-270°), the Ola Plateau and its foothills (1.4 %, 165-285°), and the Tumansky Ridge (9.4 %, 150-195°).
Континентальность климата и теплообеспеченность почв степных склонов в верховьях Индигирки и Колымы
Authors:   Institute of Biological Problems of the North, FEB RAS, Magadan, Alfimov A. V.
Published: December 2023

Steppe biotopes on the southern slopes of the Indigirka and Kolyma headwaters, judging by vegetation and invertebrate population, are analogous to South Siberiaвs mountain steppes. At the same time, the area of steppe slopes and the number of steppe plant and animal species decrease from the Indigirka to the Kolyma. Climate continentality decreases in the same direction, which permits to consider it the main factor impacting the distribution of thermophytic steppes in Northeast Asia. Measurements of temperatures in thermophytic steppe soils in the named river basins revealed no soil heat supply differences related to climate continentality. Comparison of the measurement results with long-term observation data on xeromorphic biotopes of southern slopes in the upper reaches of the Kolyma River permitted to extend this conclusion to the soils of all open dry southern slopes in the headwaters of the Kolyma and Indigirka rivers. Thus, the role of climate continentality and summer soil temperature regime in the long-term preservation of "islands" with a large number steppe species of plant and animal surrounded by permafrost mountain-taiga ecosystems in the upper reaches of the Indigirca River is questioned. It is shown that restrictions in the spatial distribution of some steppe invertebrate species are not determined by differences in the summer temperature regime of soil in the headwaters of the Indigirka and Kolyma Rivers, either.