bluuebunny/crossref_metadata_2025 huggingface dataset:
The Solid Earth Response to Earthquake Cycle Processes and Glacial Fluctuations in the Eastern Aleutians of Alaska
Authors: Sauber Jeanne , Han Shin-Chan , Croteau Michael , Huang Stacey , Loomis Bryant
Published: September 2024

We are processing and analyzing broad-scale gravimetric change from GRACE-GFO and ongoing crustal deformation with Sentinel-1 InSAR data integrated with continuous GPS data to unravel and model the temporal and spatial sources of gravimetric change and surface deformation in the Kodiak-Katmai region of the eastern Aleutians of Alaska.   As background, the Kodiak-Katmai segment of the eastern Alaska-Aleutian subduction zone experienced large coseismic slip during the great 1964 earthquake (M=9.2).  Furthermore, the largest volcanic eruption of the twentieth century (VEI = 6) occurred in 1912 at the Novarupta volcano, 10 km to the west of Mount Katmai on the Alaska Peninsula.  Here, we report the simulated coseismic and postseismic gravimetric change associated with the 2021 Chignik earthquake (M=8.2) that occurred southwest of our study area.   Earlier, we estimated the predicted ongoing rate of gravimetric change due to the post-seismic response to the 1964 great earthquake; however, more recent sources of gravimetric change make it difficult to detect this signal.    Some of the individual volcanoes monitored now with InSAR in the Katmai complex have undergone volcanic surface deformation in the last decade.    We hypothesize that some of the observed vertical land motion across the Kodiak-Katmai region includes a discernible component of surface uplift due to ongoing regional deglaciation of the Katmai area glaciers based on our initial examination of continuous GPS data from this area, as well as earlier seismic cycle, glacier retreat, and volcanic models of the predicted surface deformation. We anticipate our study results will enable better characterization of geohazards associated with the subduction main thrust zone, upper crustal faults, ongoing volcanic processes, and post-glacial rebound.    We will discuss the implications of our current work on constraining earthquake source parameters and Earth rheology that can be derived from gravimetric and surface deformation change data in the context of our broader study of earthquakes with GRACE-GFO data over the last two decades.
Assessing causes of recent sea level budget misclosure
Authors: Croteau Michael , Beckley Brian , Loomis Bryant , Ray Richard , Lemoine Frank
Published: September 2024

Three decades of satellite radar altimetry have provided an important global mean sea level change record. Validation of that record against other independent data is critical. Sea level rise has two primary causes: steric expansion of the oceans due to temperature and salinity changes, observed globally since 2005 by the Argo float network, and ocean mass change, uniquely and critically observed by GRACE and GRACE-FO since 2002. The globally averaged sum of Argo steric expansion and GRACE(-FO) ocean mass can be compared directly to the radar altimetry record, a comparison that is widely referred to as the Sea Level Budget, and numerous groups have assessed this comparison for over a decade. Recent improvements to Jason-3 wet troposphere modelling has helped show closure of the budget through around 2020, but growing misclosure of the two records in the years since remains unexplained. Our most recent estimates of the 2005-2024 trend in global mean sea level, presented at the 30 Years of Progress in Radar Altimetry Symposium in September 2024, show sea level rise of 3.80 mm/year from altimetry and 3.56 mm/year from GRACE+Argo. In this work, we more deeply investigate this recent misclosure. After first establishing a new unified ocean mask for all three datasets, we examine the budget over subsets of the global ocean and show that the disagreement cannot be explained by differences in any one small portion of the ocean. We then investigate and compare ocean mass changes in Earth’s gravity from GRACE(-FO) and Altimetry-minus-Argo and show that disagreements between these records at long spherical wavelengths can explain differences in the recovered trends in global mean sea level.
Global gravity and mass change observations beyond GRACE-FO: updates on the upcoming GRACE-Continuity mission
Authors: Flechtner Frank , Wiese David , Webb Frank , Landerer Felix , Gross Mike , Snopek Krzysztof , Fischer Sebastian , Dahle Christoph
Published: September 2024

We will present an update on the development of the next pair of satellites, GRACE-Continuity (GRACE-C), to track Earth system mass change.  The satellites are being developed in partnership between the United States and Germany, continuing the successful collaborations established on GRACE and GRACE-FO.  Heritage elements are leveraged considerably in the design with a notable change: the primary ranging instrument will be a higher precision laser ranging interferometer, capitalizing on the successful demonstration of this technology on GRACE-FO.  With a planned launch date end of 2028, the GRACE-C architecture is designed to meet the primary science goal of maintaining continuity in the essential record of mass change data that currently spans over 22 years.  Milestones over the last year will be highlighted, including a transition into Phase C development after successfully completing a Preliminary Design Review.
Update on Hydroclimatic Extreme Events in the GRACE/FO Data Record
Authors: Rodell Matthew , Li Bailing
Published: September 2024

In this presentation we provide an update on the most extreme hydroclimatic events in the GRACE and GRACE-FO data record.  In two articles published in 2023, using TWS data through the end of 2021, we identified 1,056 TWS extreme events (droughts and pluvials) and revealed a strong correlation between global mean temperature and the global total intensity these events.  Intensity is a metric that integrates severity, extent, and duration of an event.  Events were delineated and quantified using an automated clustering algorithm.  We have now extended that analysis through the end of 2023.  The top seven pluvials remain the same, with the most intense one still ongoing in Africa, while two of the previous top seven most intense droughts have been supplanted by others.  Global total intensity is still highly correlated with global mean temperature.
High-resolution Greenland ice sheet mass anomalies from data fusion using graph neural networks
Authors: Gou Junyang , Willen Matthias , Wilms Josefine , Flechtner Frank , Horwath Martin , Soja Benedikt
Published: September 2024

The Greenland Ice Sheet (GrIS) plays an important role in the climate system. Since the twenty-first century, GrIS has been melting rapidly due to oceanic and atmospheric warming, leading to a global mean sea level rise of more than 1 millimeter per year. Since 2002, the total amount of GrIS mass changes can be accurately quantified from gravity anomaly observed by the Gravity Recovery and Climate Experiment (GRACE) and its follow-on (GRACE-FO) satellite missions. GRACE(-FO) missions reveal that the GrIS has lost an average of over 260 billion tonnes of ice every year, but they cannot quantify the detailed spatial distribution of these mass changes due to a limiting spatial resolution of about 300 kilometers. In this study, we develop a deep learning method to downscale the GrIS mass anomaly products to 5-km spatial resolution by benefiting from other data sources, including satellite altimetry measurements and surface mass balance modelling. To consider Greenland's complex coastlines and reduce land-ocean leakages, we convert the gridded products into graphs, which allows us to have more flexible shapes of target areas. We test different variants of graph neural networks (GNNs), including graph convolutional networks (GCNs) and graph attention networks (GATs), to estimate the connections among neighboring locations. The GrIS mass anomalies are decomposed into long-term trends and monthly variations, which are later estimated separately by considering different high-resolution products. For the long-term trends, we use 5-year elevation changes measured by multiple altimetry missions as input to provide high spatial resolution information. The surface mass balance estimations from regional climate models and monthly elevation changes inferred from satellite altimetry are considered on the monthly scale. At the same time, the large-scale averages of downscaled mass anomalies are forced to follow GRACE(-FO) products. Ultimately, the downscaled GrIS mass anomalies agree well with GRACE(-FO) products, with large-scale RMSE of around one centimeter per year, and improved more than 60% compared to the altimetry-only estimations. The high-resolution spatial information of 5 kilometers measured by altimetry missions is successfully retained with an average pixel-wise correlation over 0.96. The downscaled GrIS mass anomaly product is valuable for understanding the spatial distribution of GrIS mass changes and is especially beneficial for analyzing individual glacier systems, which is not possible with current available GrIS mass anomaly products.
Momentum Transfer Events: Detection and Analysis in LRI Data
Authors: Bekal Pallavi , Müller Vitali , Misfeldt Malte , Müller Laura , Sudha Reshma Krishnan , Heinzel Gerhard
Published: September 2024

The GRACE-FO mission is equipped with two ranging instruments, namely a laser ranging interferometer (LRI) and a microwave instrument (MWI), which are used to measure the distance variations between the two spacecraft (GF1 and GF2). Despite the LRI's role as a technology demonstrator in the current mission, the successor mission, GRACE-C, will exclusively utilise the LRI due to its nanometre-level accuracy in range measurements.As a consequence of the high level of accuracy achieved, many more features can be observed at high frequencies compared to the MWI range. The range variations have, in general, a gravitational signal, which rolls off quickly above 10 mHz, and non-gravitational signals stemming from atmospheric drag and thruster firings. However, additional spontaneous and sudden range changes are observed (above the gravity-signal band) in LRI and the accelerometer, which we have designated as 'momentum transfer event' (MTE) candidates. When such events turn out to transfer considerable momentum (confirmed MTE), we attribute them to external factors, such as impacts by meteoroids or space debris. However, some events seem to produce no net Δv change but are like vibrations that we attribute to internal structural changes, as previously observed in the GRACE mission (Nadir radiator foil, Kornfeld et al., 2019).The raw ranging phase, φLRI, is utilised to detect the MTE candidates, from which the range and range acceleration are calculated. A filter has been constructed using the algorithm created by Bähre (2023) in order to facilitate the calculation of the precise change in range rate (ΔvLRI). By applying a specific threshold to the ΔvLRI data, it is possible to identify instances where momentum transfer or vibrations could have occurred between each spacecraft. Moreover, the correlation between the range accelerations of these events and the change in momentum recorded by the accelerometer (ACC) data is analysed. This process detected over 150 events per satellite between June 2018 and July 2023.In order to improve the detection algorithm, the filter is characterised by simulating different event types while varying the filter parameters. This parametric study facilitated the selection of optimal filter parameters that enable effective detection and accurate Δv estimation.  We then apply the filter to GRACE-FO LRI data, classify the detected events in LRI data according to their correlation with accelerometer data, and present the event statistics. Subsequently, the classifications are examined to ascertain whether the events occur when specific surfaces of the satellite are illuminated by the sun.As was the case with the effects identified in GRACE data, which informed the development of GRACE-FO, detecting and analysing the effects observed in LRI data are essential for understanding their underlying causes and preventing their recurrence in future missions like GRACE-C and NGGM.
Towards a new release of the combined global gravity field model GOCO: Contribution of GRACE-FO LRI data
Authors: Öhlinger Felix , Mayer-Gürr Torsten
Published: September 2024

The GRACE Follow-On (GRACE-FO) mission features a unique setup with two independent inter-satellite ranging systems that operate simultaneously. In addition to the K-Band Ranging System (KBR), the GRACE-FO satellites are equipped with an experimental Laser Ranging Interferometer (LRI), offering significantly higher measurement precision than the KBR. The availability of these two concurrent ranging systems enables cross-calibration between the instruments and helps to partially distinguish ranging noise from other sources, such as noise from the accelerometer measurements.A stochastic model is presented here taking the cross-correlation of the two ranging observation types into account by using variance component estimation to determine the noise covariance function. With this method, the KBR, LRI, and accelerometer noise can be partially separated. This modeling approach results in formal errors of the spherical harmonic coefficients that align well with empirical estimates which is crucial for a combination with other data types and uncertainty propagation. Gravity field solutions from the combined least-squares adjustment using LRI and KBR will be compared to KBR-only solutions. Monthly gravity field solutions up degree and order 120 only benefit slightly from the incorporation of the LRI data, however when determining gravity field solutions to a higher degree (200) a significant improvement can be seen. This is especially beneficial for the upcoming combined gravity field model GOCO, which is planned to be published in 2025.
Combined inversion of GRACE-FO and ICESat-2 data for Antarctic Ice Sheet mass balance estimation
Authors: Leong Kit , Tregoning Paul , McGirr Rebecca
Published: September 2024

The Gravity Recovery and Climate Experiment and its follow-on mission (GRACE and GRACE-FO) have provided us with the most direct and near-continuous observation of the mass variation of the Earth’s surface since 2002. Combined with a glacial isostatic adjustment model, we can resolve the temporal gravity field signal related to the Antarctic Ice Sheet (AIS) to estimate the corresponding mass changes. However, the native spatial resolution of the GRACE/GRACE-FO is limited to ~300 x 300 km, hindering our ability to resolve the origin of smaller-scale mass changes. Satellite altimetry can resolve mass changes of the AIS with much finer spatial resolution. However, conversion from altimeter-measured surface height to mass anomalies required additional corrections for firn air content changes and ice density profile, introducing extra uncertainty to the altimeter mass balance estimate. The finer spatial resolution also means that satellite altimeters take longer to achieve fully coverage of observations of the Earth. Here, we combine the strengths of these two techniques to obtain a GRACE-FO solution that can better resolve the origin of mass change while still having a monthly time step. This method combined the ICESat-2 dataset with the GRACE-FO inversion process at the normal equation level. Instead of using regular gridded interpolated data, we employ the along-track ATL11 data set. This approach allows versatile mass balance estimates that easily cope with different temporal steps and spatial patterns.In this talk, we will present results of inversions with simulated ICESat-2 and GRACE-FO data. The data were simulated using a “truth” temporal gravity field, the actual orbital data of the ICESat-2 and GRACE-FO and noise to represent uncertainty in firn and GIA corrections. Results show that our method can better resolve the simulated “truth” temporal gravity field. However, how much the combined inversion can improve the accuracy of the solution depends on the level of uncertainty related to the ICESat-2 data. Other than the original uncertainty of the ICESat-2 dataset, firn air content is another major source of uncertainty in coastal regions. Moreover, the coverage of the ICESat-2 dataset over a single mascon is important when calculating the mean height anomaly of a mascon as sampled by ICESat-2. When the height changes within a mascon have high spatial variability, significant mass changes occurring in a small area can alter even the sign of the mean height anomalies estimates if they were not sampled by the ICESat-2 groundtracks. Therefore, a scaling factor related to the intra-mascon variability of each mascon is required to account for this in the inversion process.
Recent Analyses with Alternative LRI1B Datasets of AEI
Authors: Müller Laura , Müller Vitali , Yan Yihao , Misfeldt Malte , Bekal Pallavi , Heinzel Gerhard
Published: September 2024

Although the Laser Ranging Interferometer (LRI) on GRACE Follow-On has a higher precision than the K/Ka-Band Ranging (KBR) system, special circumstances lead to the decision to operate the satellites in nadir pointing mode and, starting in July 2023, in wide deadband mode to improve the quality of the accelerometer transplants and reduce propellant consumption. During these periods, the LRI is unable to record ranging data due to its narrow pointing requirements. However, the LRI will be the primary and only ranging instrument on future missions, and it is important to understand its data and optimize the data processing.Therefore, we have continued to (re-)analyze the raw telemetry from the LRI and have advanced the data processing, resulting in alternative LRI1B datasets that we are making publicly available. These data products include the Tilt-to-Length Coupling Correction (aka Antenna Offset Correction in KBR), an alternative calculation of the Light Time Correction, different models for a time-dependent absolute laser frequency, consideration of relativistic effects acting on the spacecraft proper time when converting the phase to a range, and also a quality flag to mark special events such as sun blinding periods.We have recently produced a new LRI1B v54 release that includes all available LRI data (June 2018 to June 2023) and a dataset with a sampling rate of 0.2 Hz, the same as the KBR sampling, to facilitate comparisons. We will present an analysis of the differences between LRI1B v54 and KBR1B v04 in the spectral, geographic, and time domains to support ongoing investigations into why the ocean RMS values of the monthly gravity fields from LRI are often slightly higher than those from KBR.In addition, Duwe et al. [2024] recently showed that the post-fit residuals of LRI1B v04 exhibit some artifacts of the order of +/- 2.5 nm/s2, visible when the residuals are high-pass filtered. We were able to confirm most of these features with the LRI1B v04 data, but could not observe them in our internally derived alternative product, LRI1B v54. We further show that the spurious signatures appear even without gravity field recovery by comparing LRI1B v04 and v54 at the level of the raw biased range (or range rate), i.e. without applying correction terms for light-time and antenna offset. We also show that the effects are most likely not present in the LRI1A v04 phase data, leading to the conclusion that these artifacts arise in the v04 Level1a to Level1b processing of SDS.All of our data products are publicly available at https://www.aei.mpg.de/grace-fo-ranging-datasets.Duwe et al [2024]: Residual Patterns in GRACE Follow-On Laser Ranging Interferometry Post-Fit Range Rate Residuals, Advances in Space Research, https://doi.org/10.1016/j.asr.2024.03.035.
GRACE and GRACE-FO constraints on 3D GIA models
Authors: van der Wal Wouter , Fullea Javier , Ortega Olga , Schrama Ernst , Root Bart
Published: September 2024

Glacial isostatic adjustment is the response of the solid Earth to past ice sheets. It is the largest secular gravity increase in GRACE and GRACE-FO data. Models of GIA are used to correct GRACE observations for ice mass and sea level change, but in areas where GIA is the main signal GRACE data can be used to constrain GIA models. Global GIA models increasingly use 3D variations in viscosity which can have large uncertainties resulting from the conversion of seismic velocity anomalies to viscosity. By ‘anchoring’ the GIA model to GRACE observed values in some regions confidence in its performance in other regions can be increased.Here, we compare predicted gravity rate from a global GIA model with 3D viscosity to gravity rate in North America and Scandinavia derived from gravity rate trends estimates from GRACE and GRACE-FO data from 2003-2023. 3D viscosity maps are derived from upper mantle model WINTERC-G with a flow law for mantle material olivine, in which material parameters such as grain size and water content are varied. We use a GIA model based on the commercial FEM package ABAQUS and use the ICE-7G ice loading history as forcing.The GIA simulations mostly result in gravity rates larger than observed for North America, while in Scandinavia they are mostly too small. Both regions prefer a dry mantle rheology, which is expected for the relatively colder mantle in the regions. The best fitting GIA models are used to correct GRACE and GRACE-FO data and estimate global sea level change due to land ice melt of about 1.6 mm/year, which is at the lower end of the predictions for different GIA models including traditional models with only radially varying viscosity.
Evaluation of CNES RL05 by AI and prospects for a sixth re-iteration
Authors: Lemoine Jean-Michel , Bourgogne Stéphane , Bruinsma Sean , Vaujour Thomas , Pfeffer Julia , Thenoz Chloé
Published: September 2024

Since December 2019, CNES is producing its fifth release of GRACE and GRACE-FO time-variable gravity solutions. This presentation will provide an update on the evolution of processing since last year and on the prospect of a new reprocessing in 2025, based on the new FES2022 barotropic tide model that recently became available and on the update of the TUGO ocean dealiasing model by the LEGOS/CLS team.Furthermore, in order to characterize as objectively as possible the quality of the time-variable gravity field solutions produced by the different groups involved in the GRACE/GRACE-FO processing, a software for detecting defects in the solutions by supervised artificial intelligence methods was developed for CNES by the company Magellium. A description of the algorithms used (Random Forest and Convolutional Neural Network) will be presented, as well as the performance indices obtained for the CNES solution and, we hope, for a set of other solutions. 
Investigating the interactions between wakes and floating wind turbines using FAST.Farm
Authors: Carmo Lucas , Jonkman Jason , Thedin Regis
Published: September 2024

Abstract. As floating offshore wind progresses to commercial maturity, wake and array effects across a farm of floating offshore wind turbines (FOWTs) will become increasingly important. While wakes of land-based and bottom-fixed offshore wind turbines have been extensively studied, only recently has this topic become relevant for floating turbines. This work presents an investigation of the mutual interaction between the motions of floating wind turbines and wakes using FAST.Farm. While FAST.Farm has been extensively validated across a wide range of conditions, it has never been validated for FOWT applications. Hence, in the first part of this work, we validate FAST.Farm by comparing simulations of a single FOWT against high-fidelity results from large-eddy simulations available in the literature. The validation is based on wake meandering, mean wake deflection, and velocity deficit at different downstream locations. This validation showed that the original axisymmetric (polar) wake model of FAST.Farm overpredicts the vertical wake deflection induced by shaft tilt and floater pitch, while the new curled wake model is capable of properly capturing the vertical wake deflection. In the second part, we use FAST.Farm to analyze a small three-unit array of FOWTs with a spacing of 7 diameters across a wide range of environmental conditions. The same National Renewable Energy Laboratory 5 MW reference wind turbine atop the OC4-DeepCwind semisubmersible is adopted for the three FOWTs and for the validation against high-fidelity simulations. To assess the effect of the floating substructure, we compare the power production, tower-base moments, and blade-root moments obtained for the floating turbines with the results obtained in a fixed-bottom configuration. The main differences introduced by the floating substructure are the motions induced by the waves, the change in the natural frequencies of the tower caused by differences in the boundary condition at its base, and the larger vertical deflection of the wake deficit due to the mean pitch of the platform. The impact of these differences, as well as other minor effects, are analyzed in detail.
A feature-inheritance approach to scalar-focus object preposing in English, Mandarin Chinese, and Spanish
Authors: Yang Jiahui
Published: September 2024

This paper discusses the syntax of scalar-focus object preposing, which is found compatible with constituent-adverbs but not with adverbs with a sentential scope. Meanwhile, languages such as English and Mandarin Chinese are found to differ in the position to which the scalar-focus object can be preposed. To account for such cross-linguistic structural differences in a unified way, this paper proposes that such an object carries an interpretable [+Max]-feature and agrees with a functional head to value its uninterpretable discourse-feature, before moving to the specifier position of the latter. Based on the theory of Feature Inheritance, it has been further argued that in English, the functional head in question is C, because the discourse-feature is retained by it, while in Mandarin Chinese this head is T, because it inherits the discourse-feature from C. The potential issue of subject-object ordering in this approach has been delt with by considering the nature of movement and the licensing condition of multiple specifiers. Additionally, the universality of the current proposal has been demonstrated by extending the same approach to Spanish.
La presentación social de las emociones en las marchas feministas
Authors: Vera Gajardo Sandra , Loaiza Cárdenas Cecilia
Published: September 2024

Los movimientos sociales a nivel global actúan influidos por el marco contemporáneo de una cultura visual. En las manifestaciones feministas esto se ha traducido en una escenificación callejera con expresión de emociones. La conciencia de una audiencia constante forma parte de los ingredientes a considerar en el actuar activista en la medida que en su atención e implicación afectiva se juegan las posibilidades de escucha del movimiento. En este artículo se presenta el análisis fotográfico cualitativo de dos marchas feministas chilenas (25 de noviembre y 8 de marzo) observadas durante tres años, en las cuales destacan cuatro emociones (dolor, rabia, desafío, orgullo) desplegadasdiferencialmente en función de la atención social esperada. Los elementos que las hicieron distintivas se basaron en los repertorios de protesta, los colores predominantes, las consignas utilizadas y la forma de nombrar los agravios, permitiendo comprender una presentaciónsocial de las emociones.
PREDICTING OF ADVERSE OUTCOME IN PATIENTS WITH ULCERATIVE COLITIS
Authors: BEREZNIKOV A. , ShKITIN S. , EFIMOV M. , IGNATENKOV K. , KON'KOV A.
Published: September 2024

Methods of predicting adverse outcomes chronic non-communicable diseases of the gastrointestinal tract remain topical in outpatient, therapeutic and gastroenterological practice. The paper proposes a method of predicting adverse outcome of ulcerative colitis.
SINUS LIFT SURGERY: RISK FACTORS FOR SCHNEIDERIAN MEMBRANE PERFORATION
Authors: GREBNEV G. , BAGNENKO A. , MUZYKIN M , AGRBA A. , VOSKRESENSKAYa Yu.
Published: September 2024

The number of patients of middle and old age with loss of teeth continues to increase despite the advances in preventive dentistry. The prosthesis on implants is the most predictable rehabilitation method for the patients with various defects in dental rows. This paper presents a modern look at possible risk factors for Schneiderian membrane perforation connected not only to open sinus lifting techniques, but also to anatomical peculiarities of the facial scull bones which shall be taken into account when planning dental implantation in the posterior region of the maxilla.
FORECAST OF THE DYNAMICS OF OVERALL INCIDENCE OF MENTAL DISEASES OF THE LAW ENFORCEMENT OFFICERS IN THE RUSSIAN FEDERATION
Authors: IChITOVKINA E. , ABRAMOV A. , BOGDASAROV Yu. , SOLOV'EV A. , Reverchuk I.
Published: September 2024

Structure and rate of the overall incidenc of mental diseases of the law enforcement officers in Russia are analyzed for the period from 2018 to 2023. Forecast of their overall incidence of mental diseases is calculated for 2024–2025 using logistic regression techniques.
EARLY RESULTS OF THE THERAPY WITH THE NGLT-2 INHIBITOR DAPAGLIFLOZIN IN PATIENTS WITH ACUTE DECOMPENSATION OF HEART FAILURE
Authors: ARABIDZE G. , OMAROV O. , ShOGENOV Z. , PETRIK E.
Published: September 2024

Acute decompensation of heart failure is one of the main causes of repeated hospitalizations and worse survival rate. Studies aimed at exploring new opportunities to improve clinical status and prognosis remain highly relevant. Early administration of the type 2 sodium-glucose cotransporter inhibitors (iNGLT-2), in particular dapagliflozin, looks promising.
CASUAL RELATIONSHIP OF THE HYPERTENSION DISEASE ILLUSTRATED BY A CASE FROM JUDICIAL PRACTICE
Authors: GANIShEV A. , ShIBAEV S. , GRIGOR'EVA I.
Published: September 2024

According to the Central Military Medical Commission of the Ministry of the Interior of Russia in 2023 26,1% of the persons recognized unfit for further service by the departmental military medical commission suffered from circulatory diseases. At the same time a study conducted in 2024 by the Moscow medical department of the Ministry of the Interior of Russia found, that up to 20% of the examined officers with elevated blood pressure who have reached age limit for the service, can suffer from stage III hypertension disease with severe vascular disorders.
Transit workers may be under the risk for eating disorders: A cross-sectional study in Turkiye
Authors: Ofluoğlu Özge , Köse Gizem
Published: September 2024

This study was planned and conducted to determine eating disorder risk and related factors (such as laxative usage) in transit workers working in Metro Istanbul in Turkiye. Transit drivers (n=249) reported marital status, education, sleep duration, physical activity status and eating disorder questionnaires as SCOFF and Eating Disorder Examination Questionnaire (EDE-Q-TR) scales. Height and body weight were measured for each participant. Nonparametric tests and Spearman’s correlation were used to examine associations between scales, laxative usage and sleep, exercise durations. Participants were mostly male, with a total mean age of 38.31±6.15 years. Positive statistically significant correlations were found between SCOFF and EDE-Q-TR scores (restriction, eating concern, body concern, weight concern). When total scores of SCOFF and EDE-Q-TR were compared by gender, females had higher scores (p
Antimicrobial Effect of Medicinal Plants Against Streptococcus mutans: A Literature Review
Authors: Albuquerque Iago Gomes , Furtado Manuela Almeida Montenegro , Nunes Nara Lhays Teixeira , Sousa Luzia Herminia Teixeira , Linhares Conceição Mikaelly de Vasconcelos , Freitas Maria Tayara Marques
Published: September 2024

The present study aims to evaluate, through a literature review, the antimicrobial potential of medicinal plants against Streptococcus mutans. Method: A bibliographic search was conducted in the PubMed database using the descriptors "phytotherapy," "medicinal plants," and "Streptococcus mutans," either combined or not, covering the period from 2011 to 2021. The search resulted in 99 articles. In the initial screening, 79 articles were excluded for not being related to the topic. Twenty articles were selected, but only 12 met the eligibility criteria, which included studies evaluating the antimicrobial effect of a single medicinal plant on S. mutans only. Among the results, several plant species with antimicrobial potential against S. mutans were identified, including Annona senegalensis, Melia azedarach, Copaifera langsdorffii, Copaifera officinalis, Zingiber zerumbet, Terminalia chebula, Trachyspermum ammi, Ocimum sanctum, Teucrium polium, Vitis vinifera L., and Cinnamomum zeylanicum Blume. In summary, all studies showed antimicrobial effects against S. mutans, with particular emphasis on the studies with copaiba oil, M. azedarach crude extract, and T. polium, which demonstrated superior and comparable results to the effects of chlorhexidine, respectively.
Inflación y derecho
Authors: Lagos Torres Alejandro
Published: September 2024

Se analiza la inflación y su vínculo con el Derecho y el Estado. En un primer momento, se estudia la inflación como fenómeno monetario y sus efectos económicos, junto a algunas situaciones de especial relevancia jurídica en relación con el pago de obligaciones. Posteriormente, se analiza la importancia de que el Derecho y el Estado promuevan y mantengan en el tiempo la confianza en la moneda como condición necesaria para el bienestar social.
"Principio pro consumidor y extensión de su protección"
Authors: Contardo Juan Ignacio
Published: September 2024

Mauricio Tapia, Principio pro consumidor y extensión de su protección, Santiago, Rubicón, 2023, 811 pp.
Thực trạng quản lý hoạt động giáo dục đạo đức cho học sinh ở các trường tiểu học thành phố Đà Lạt, tỉnh Lâm Đồng
Authors: Trần Đại Nghĩa , Chế Thị Thu Hồng
Published: September 2024

Giáo dục đạo đức có vai trò, vị trí rất quan trọng trong việc giáo dục trẻ ở bậc tiểu học. Nó không chỉ bồi dưỡng nhận thức về chuẩn mực đạo đức xã hội, mà còn góp phần định hình và phát huy những phẩm chất cần thiết của nhân cách con người. Môn Đạo đức ở cấp tiểu học là môn học bắt buộc; định hướng chính vào giáo dục về giá trị bản thân, gia đình, quê hương, cộng đồng, nhằm hình thành cho học sinh thói quen, nền nếp cần thiết trong học tập, sinh hoạt và ý thức tự điều chỉnh bản thân theo các chuẩn mực đạo đức và quy định của pháp luật (Bộ Giáo dục và Đào tạo, 2018). Do đó, mục đích của nghiên cứu này nhằm tìm hiểu, phân tích và đánh giá thực trạng giáo dục đạo đức và quản lý hoạt động giáo dục đạo đức cho học sinh ở các trường tiểu học thành phố Đà Lạt, tỉnh Lâm Đồng thông qua việc khảo sát tại 06 trường tiểu học trên địa bàn thành phố Đà Lạt bao gồm 28 cán bộ quản lý và 70 giáo viên theo thang đo likert 4 mức độ. Kết quả nghiên cứu đã thấy được quản lý hoạt động giáo dục đạo đức cho học sinh ở các trường tiểu học thành phố Đà Lạt, tỉnh Lâm Đồng vẫn còn bất cập cần được cải tiến.
Mathematical Analysis of Neural Networks for Signal Processing
Authors: Sandeep Musale
Published: September 2024

In flag preparing, neural systems have gotten to be exceptionally valuable since they give adaptable ways to see at and get it complicated information patterns. A full scientific ponder of neural systems utilized for flag preparing errands is given in this paper. The most objective of the consider is to figure out the fundamental thoughts, structures, and numerical equations that make neural networks work well in preparing information from distinctive regions. The fundamental thoughts of neural systems are looked at, beginning with neurons, layers, and actuation capacities, which are the network's building squares. Scientific models appear how these parts work together within the arrange and how they offer assistance turn input signals into valuable yields through rehashed learning forms. The numerical modeling of feedforward and repetitive neural systems is emphasized, appearing how well they work with both consecutive and time-series information. The think about moreover talks approximately more progressed points, such as optimization strategies like slope plummet and its varieties, which are exceptionally critical for educating neural systems to create forecasts with less botch. The science system incorporates looking into regularization strategies such as L1 and L2 regularization, which are vital for maintaining a strategic distance from overfitting and making generalization way better. Neural systems are utilized in flag handling in a wide run of real-world circumstances, counting discourse and voice acknowledgment, picture handling, organic flag examination, and broadcast communications. Case considers appear how neural systems offer assistance illuminate issues within the genuine world by finding highlights, lowering noise, and making strides flag acknowledgment in situations that alter.
Mathematical Approaches to Circuit Optimization in VLSI Design
Authors: Rajesh Kedarnath Navandar
Published: September 2024

Exceptionally Huge Scale Integration (VLSI) plan is continuously trying to find ways to improve circuit speed, lower control utilize, and make the finest utilize of space. A big portion of coming to these objectives is utilizing numerical strategies, which allow organized ways to form circuits work way better. This paper looks at a number of distinctive numerical methods and how they can be utilized in VLSI plan. It centers on how well these strategies can progress the value and productivity of circuits. Optimization calculations, like mimicked toughening, hereditary calculations, and molecule swarm optimization, are a prevalent way to see at math issues. Iteratively investigating plan regions is how these strategies discover combinations that grant superior execution measures, such as speed, control, and zone. Case considers appear that they are great at moving forward complicated circuits, appearing enormous picks up in plan parameters compared to old-fashioned heuristic strategies. Scientific modeling is additionally exceptionally imperative for accurately appearing how a circuit will work and anticipating execution measurements some time recently the genuine application. Direct programming and numbers programming are two strategies that offer assistance software engineers set limits and objectives, which leads to superior circuit structure and asset allotment. These models offer assistance individuals make choices by giving them numbers that appear the trade-offs between diverse plan objectives, like speed vs. power consumption or range minimization. Utilizing huge information sets and prescient analytics, machine learning procedures have moreover changed optimization strategies since they were included to VLSI plan.
Computational Mathematics for Electromagnetic Field Simulation
Authors: Amol Dattatray Sonawane
Published: September 2024

Computational science could be a key portion of making reenactments and investigations of electromagnetic areas superior, which is critical for numerous ranges, from restorative imaging to broadcast communications. This theoretical talks around the essential thoughts, computer methods, and fundamental issues that come up when utilizing scientific models to form precise considers of electromagnetic areas. Maxwell's conditions portray how electric and attractive areas carry on in space and time and are utilized to recreate electromagnetic areas. Since real-life circumstances are so complicated and distinctive, these conditions, which are made up of differential conditions with fractional subordinates, got to be fathomed numerically. Utilizing procedures like finite difference, limited component, and boundary component strategies, computational science breaks these issues down into shapes that can be fathomed. Limited contrast strategies utilize a framework to induce near to subordinates, whereas finite element strategies break the space up into littler pieces to accurately illuminate complicated geometries. Boundary component strategies center on fundamentally details along the domain's edges, giving fast answers for problems within the exterior world. Each strategy strikes a adjust between exactness, the speed of calculations, and the capacity to work with distinctive electromagnetic occasions. Overseeing the complexity of the coding system, accurately speaking to the highlights of the fabric, and dealing with nonlinearities within the conditions are a few of the issues that come up in computational electromagnetic field reenactment. To create simulations more exact and productive, analysts are continuously looking into unused math calculations, concurrent computer methods, and optimization methodologies.
Existence and Approximate Controllability of Random Impulsive Neutral Functional Differential Equation with Finite Delay
Authors: Tharmalingam Gunasekar
Published: September 2024

This study investigates second-order neutral functional differential equations with delays, prevalent in various scientific and engineering fields. These equations, characterized by their neutral nature and delays, present unique challenges within Banach spaces. The research focuses on the existence and approximate controllability of solutions, using advanced mathematical tools like cosine family theory and the Leray-Schauder theorem to establish rigorous solution conditions. These theoretical results are empirically validated through practical examples, enhancing understanding of real-life behavior and bridging theory with practice. The study’s findings advance the understanding of delayed feedback systems, facilitating effective control strategies and practical engineering solutions, thereby contributing significantly to dynamical systems and control theory.
Blockchain Based Analytical Bug Tracking in Software Engineering
Authors: T. Jhansi Rani
Published: September 2024

This article examines a blockchain-based bug tracking system in detail, focusing on its four main components: the Blockchain Platform, the Consensus Mechanism (also known as Proof of Work, PoW), the Data Structure, and Smart Contracts. To improve the efficiency, security, and transparency of bug tracking in software development, we use mathematical models to dissect the operational framework and functionalities that underpin this cutting-edge system. The Blockchain Platform is the foundational layer. It stores data in multiple locations, cannot be changed, and provides a secure environment for fixing software bugs. We use mathematical abstractions to demonstrate how the blockchain is put together, emphasizing the importance of cryptographic hashes in maintaining data integrity and connecting blocks. People pay close attention to the Consensus Mechanism, particularly Proof of Work (PoW), because it is so important for verifying transactions and maintaining the blockchain's integrity. Using a mathematical model, we demonstrate how Proof of Work (PoW) prevents bad behavior while keeping the network safe and democratic by requiring work to be done on a computer to add blocks. The Data Structure module is examined using a model that depicts how bug reports are stored and found on the blockchain. This model demonstrates the efficiency of storing bug reports as transactions, which allows for quick access and unchangeable record-keeping. People associate smart contracts with self-running programs that manage permissions, automate workflows, and provide incentives for reporting bugs. Mathematical models are used to demonstrate how these contracts' conditions and actions are documented, emphasizing their importance in automating tasks and improving system reliability. This article uses mathematical modeling to provide a clear and structured understanding of a blockchain-based bug tracking system and demonstrate how it could change the way bugs are tracked by leveraging blockchain technology's strengths.
Some Results of Total Domatic Number on Anti Fuzzy Graph
Authors: R. Muthuraj
Published: September 2024

Let AG = (N, A, σ, μ) be an anti fuzzy graph. A partition DP = {D1, D2, ….., DK} of  N(AG) is referred to as total domatic partition of AG if for each Di is a total dominating set of anti fuzzy graph AG and N(AG)= ⋃Di. The maximum cardinality taken over all maximum number of classes with a minimal total domatic partition of AG is called the total domatic number of AG and it is denoted by . The maximum number of classes with maximum fuzzy cardinality of a partition Di (AG) is called anti fuzzy total domatic number of anti fuzzy graph AG and it is denoted by . In this paper, we gain some preferred results and limits that referring to the full domatic number on anti fuzzy graph.
Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization
Authors: Ejigu Tefera
Published: September 2024

Accurate prediction of electric energy consumption is crucial for efficient load dispatching, energy utilization, and grid operation. Traditional statistical and classical machine learning methods struggle with the nonlinear nature of energy consumption data, often leading to higher prediction errors. Additionally, deep learning models using a single approach face challenges such as convergence to local minima and poor generalization. This paper proposes a nonlinear ensemble deep learning model for residential energy consumption prediction, incorporating Bayesian optimization for hyperparameter tuning. The model combines Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and 1D Convolutional Neural Networks (1D-CNN), leveraging their powerful nonlinear feature learning capabilities. A k-means clustering approach is used to preprocess and reduce variability in the data, enhancing the ensemble model's performance. The ensemble model was tested on real energy consumption data from two districts in Addis Ababa, showing significant improvements in prediction accuracy with lower MAE, RMSE, and MAPE values compared to single models and un-clustered data. The integration of clustering and Bayesian optimization further enhanced model generalizability and minimized overfitting, demonstrating the effectiveness of a nonlinear approach in capturing complex energy consumption patterns.