bluuebunny/crossref_metadata_2025 huggingface dataset:
Precise estimation of regional mass trends in Greenland using a global regularized inversion of level-2 data from GRACE/GFO satellite missions
Authors: Ditmar Pavel
Published: September 2024

The Greenland Ice Sheet (GrIS) has been a major single contributor to global sea level rise in recent decades, so that making accurate projections of its future behavior is a highly relevant task both for scientific community and for the human society in general. To that end, the mechanisms behind the observed ice mass changes must be understood in detail. This implies a need in accurate models of all those mechanisms, which requires, in turn, a sufficiently high accuracy of independent mass change estimates for validation and calibration purposes. For instance, the relative uncertainty of the Regional Atmospheric Climate Model RACMO describing the Surface Mass Balance (SMB) of the GrIS is of the order of 10%. Uncertainty of independent information must be at least comparable. This pose a challenge for all the groups involved into the estimation of GrIS mass variations from GRACE and GRACE Follow-On (GFO) data, since the accuracy of existing estimates typically does not match this requirement (especially in the context of individual drainage systems). Moreover, it is still not uncommon to refrain from an accurate assessment of the uncertainties of the obtained mass change estimates at all.We propose to make an accurate estimation of regional mass changes in Greenland by an inversion of  GRACE/GFO-based level-2 data product (spherical harmonic coefficients) into a global set of mass anomalies using a regularized least-squares adjustment. We apply such an approach to estimate regional mass trends in the time interval Apr.2002–Aug.2023, both per Greenland’s Drainage System (DS) and for Greenland as a whole. First, a numerical study is carried out to optimize parameters of  the adopted spatially-varying 1st-order Tikhonov regularization, as well as to quantify the error budget of the estimated regional mass trends. We show, among other, that random noise in input data plays only a minor role in the considered case, as compared to signal leakage and uncertainties of Glacial Isostatic Adjustment (GIA) modelling. Second, we apply the optimized regularization scheme to the level-2 data product from the Institute of Geodesy at Graz University of Technology (ITSG), having chosen the variant complete to the maximum degree 120. The regional mass losses per DS are found to vary between 18 Gt/yr (northeast DS) and 79 Gt/yr (southeast DS). The rate of the total mass loss in Greenland is estimated as 267.5 Gt/yr. The total errors of the obtained estimates are of the order of 4 and 10 Gt/yr for individual DSs and for entire Greenland, respectively. Finally, we demonstrate that it is important to take into account the Earth’s oblateness in the course of a regional mass change estimation, since the errors introduced by a spherical Earth approximation can be comparable to the total errors of the obtained estimates.
Spatial Downscaling of GRACE Terrestrial Water Storage Anomalies through Soft Constraint Deep Learning Paradigm
Authors: Uz Metehan , Atman Kazım Gökhan , Akyılmaz Orhan , Shum Ck
Published: September 2024

It is crucial to monitor water resources and acquire knowledge on water-related natural disasters to fully understand the Earth’s climate system and guarantee its long-term sustainability. The Gravity Recovery And Climate Experiment (GRACE) and GRACE-FollowOn (GRACE(-FO)) satellites have contributed significantly to our knowledge of variations in Earth’s Total Water Storage (TWS) throughout the last twenty years. Nevertheless, the ability to detect hydrological activities is hindered by restrictions in spatial and/or temporal resolutions. This study introduces a sophisticated Deep Learning (DL) paradigm that is specifically developed for the spatial downscaling of GRACE TWS anomalies (TWSA). The technique employs soft constrained knowledge by developing a novel loss function to obtain higher spatial resolutions while preserving the integrity of the GRACE TWSA signal. The time series of Mass Conservation (Mascon) TWSA from Jet Propulsion Laboratories (JPLM) are downscaled in spatial resolution from 300 km to 50 km using spatiotemporal correlations of TWSA derived from the WaterGAP Hydrology Model (WGHM). The TWSA simulations consist of monthly time series spanning from April 2002 to December 2022. These downscaled TWSA time series were evaluated not only internally using statistical metrics but also externally comparing with the non-GRACE dataset that are related to the glacier mass loss signals, the interannual TWSA signal variations that are triggered by El Niño-Southern Oscillation (ENSO), InSAR subsidence rates and the altimetry-derived water levels in major rivers. Furthermore, the DL methodology has been examined in both drought and flood events, where it was able to effectively bridge the gap between the GRACE and GRACE(-FO) satellite missions. These evaluations reveal the suggested DL strategy preserves the GRACE/-FO TWSA signal while also achieving an evolution to higher spatial resolution.
Gravity field recovery using co-estimation of background model errors to improve de-aliasing capabilities of the MAGIC double-pair constellation
Authors: Wilms Josefine , Hauk Markus , Panafidina Natalia , Murböck Michael , Neumayer Karl Hans , Dahle Christoph , Flechtner Frank
Published: September 2024

GFZ has performed various full-scale simulations within the ESA NGGM/MAGIC Science Support Study, including instrument noise and background model error assumptions. The focus was set on developing and applying extended parameterization techniques for improved de-aliasing of short-term mass variations.The impact of using model uncertainties was investigated for ocean tide and non-tidal atmospheric and oceanic background models. As part of the DFG Research Unit NEROGRAV covariances of model uncertainties were computed and during gravity field retrieval model corrections were co-estimated using this prior covariance information. In principle, model errors are absorbed by the additional co-estimated parameters, and gravity field estimation is thereby improved.First, simulations with only ocean tide errors and only non-tidal background model errors were performed separately for one month to assess the error reduction obtained for each. Finally, ocean tide and non-tidal errors were included together in a full noise simulation and compared to the processing strategy that did not include co-estimation of background model errors.The novel optimized method was then also applied for monthly gravity field retrieval over five years, showing improvements for each month. The estimated residual ocean tides from this 5-year simulation were then used to calculate an improved ocean tide model optimized for gravity field recovery.
Impact of Scale Factor and Baseline Errors on Gravity Field Estimation: Analysis and Validation with GRACE Follow-On Data and Simulations 
Authors: Zhu Zitong , Müller Vitali , Wang Changqin , Yan Yihao , Yin Heng , Yan Haoming , Heinzel Gerhard
Published: September 2024

Gravity measurements from Low-Low Satellite-to-Satellite Tracking (LL-SST) systems, such as GRACE and GRACE-FO, collect gravity field data using GPS-observed orbits and variations in inter-satellite distances measured by inter-satellite ranging systems. Unlike GRACE, GRACE-FO uses a Laser Ranging Interferometer (LRI) designed as a technology demonstrator for future gravity missions. Some issues, such as an uncertainty in the absolute laser frequency causing an LRI scale factor error, and baseline errors in the GPS observations, i.e., offsets in the 200 km separation, can lead to significant effects on the gravity field. These effects were evaluated by developing an analytical relationship between the observations and the spherical harmonic coefficients (SHCs) of the gravity field. Both the LRI scale factor and baseline errors affect the SHCs in a comparable manner, leading to significant non-stochastic errors, especially at the low levels of the gravity field. Numerical simulations show that a scale factor of 1E-8 results in a geoid height error of about 0.074 mm at degree 2. This effect exceeds that of the atmospheric and ocean de-aliasing (AOD) model errors. Furthermore, a comparison of the LRI scale factor time series for data from GRACE-FO in 2021-2022, based on the theoretical form developed here, with a scale factor calculated by cross-calibrating KBR and LRI, showed a consistency between the two, with an estimated uncertainty of about 5.75E-8. The analytical formulation presented here effectively describes the influence of the scale factor or baseline error on LL-SST gravity missions. 
Level-3 CNES ensemble solution, assessment with lake altimetry
Authors: Lecomte Hugo , Meyssignac Benoit , Blazquez Alejandro , Dhondt Claire
Published: September 2024

We propose a status update on the Level-3 (L3) solution with uncertainties produced by the CNES. The L3 solution is designed to analyze the global water cycle consistently with the conservation of mass. In particular, the L3 solution has been used to estimate glacier mass loss in Arctic regions, Greenland and Antarctica, as well as water mass change in these areas. The ocean mass product and its uncertainty is designed in a consistent way with satellite altimetry products to estimate the Earth’s energy imbalance.We assess the quality of the solution and its uncertainties with external independent datasets from satellite altimetry observations and in-situ measurements. Comparisons of the mass estimation on large lakes provide insights into glacial isostatic adjustment, showing that the ICE-6G_D model aligns better with the observed trends in North America water volume from altimetry than the mean value of Caron 2018 model. We observe that for most of the lakes the seasonal maximum of the surface water takes place 1 to 2 months before the whole land water observed by GRACE.
Improving ice sheet and glaciers mass balance estimates using Microwave Instrument (MWI) GRACE-FO and GRACE data 
Authors: Velicogna Isabella
Published: September 2024

The ice mass balance of the Antarctic and Greenland Ice Sheets and the World's Glaciers and Ice Caps (GIC) has a major impact on sea level rise. Here we present an update on monthly estimates of glaciers and ice sheet mass balance from the GRACE/GRACE-FO mission up to 2024 using the Microwave Instrument (MWI). We report a slow-down in mass loss in Greenland after 2012 and a mass gain in Antarctica in 2021-2023. In recent years, we note a pause in the mass loss of Antarctica, a mass loss in Greenland that is no longer accelerating, and a steady loss from the GIC. The ice sheet mass loss has slowed down to average 255 Gt/yr for Greenland and 108 Gt/yr for Antarctica during 2002-2024. Combining the GRACE/GRACE-FO data with a longer-time record for 1979-2024, however, we find that the ice sheet mass loss has been accelerating for both Greenland and Antarctica, i.e., the recent slowdown is a fluctuation on top of a long-term decrease.
Assessing Seepage Dynamics of the GERD for Enhanced Nile Basin Water Management
Authors: Abdelmohsen karem , Sultan Mohamed , Yan Eugene , Save Himanshu , Emil Mustafa , Famiglietti James S.
Published: September 2024

The Grand Ethiopian Renaissance Dam (GERD) has become a key focus for hydrological research due to its influence on the Nile Basin. Previous studies have revealed that seepage losses from the GERD reservoir, facilitated by fault networks in the fractured terrain, are underestimated. This study builds on earlier findings by analyzing seepage from the GERD's fourth filling, completed on September 28, 2023, reaching 39.8 km³. By June 18, 2024, the reservoir's volume decreased to 30.2 km³, with a total seepage of 9.6 km³. The analysis suggests that as the reservoir area expands, more fractures and faults are accessed, increasing seepage. These results highlight the necessity of integrating seepage analysis into hydrological models to support sustainable water management and informed decision-making in the Nile Basin. Failure to address these factors could lead to inaccurate hydrological predictions and impede regional cooperation.
Status of development of the Quantum Gravity Gradiometer Pathfinder Concept
Authors: Bettadpur Srinivas , Loomis Bryant , Wiese David , Chiow Sheng-wey , Okino Clayton
Published: September 2024

Quantum Gravity Gradiometry (QGG), based on atom interferometric inertial sensing, offers the promise of accurate, high-resolution mass-change estimation from stable, well-calibrated, µE precision measurement of gravity gradients from orbit. Much of the technology for measurement and utilization of µE precision gradiometry, using a so-called "science grade instrument" (SGI) targeting ambitious next-generation Earth science community needs for mass change measurements, remains yet to be developed. However, current start of the art of atom interferometry allows testing and validation of key ideas behind the QGG concept in low-precision spaceflight experiments, as essential pathfinding to the SGI. We present the current status of the JPL-led QGG Pathfinder Concept Study from the viewpoint of the underlying science motivation of the SGI concept, the lessons to be learned from measurements drawn from a lower precision QGG pathfinder instrument, and the related mission design and concept of operations for the Pathfinder study.
Magnesium isotope fractionation processes during seafloor serpentinization and implications for serpentinite subduction
Authors: Nielsen Sune G. , Klein Frieder , Marschall Horst R. , Pogge von Strandmann Philip A. E. , Auro Maureen
Published: September 2024

Abstract. Studies of magnesium (Mg) isotope ratios in subduction zone lavas have revealed small but significant offsets from the mantle value with enrichments in the heavy isotopes. However, the very high concentration of Mg in the mantle contrasts with much lower concentrations in the subducted igneous crust and oceanic sediments, making these subduction components unlikely vehicles of the Mg isotope anomalies in arc lavas. Only serpentinites, which in various proportions form part of oceanic plates, have high Mg contents comparable to fresh mantle rocks, and they have thus been regarded as a potential source of exotic Mg in the source of arc magmas. In this study we analyzed serpentinite samples from different oceanic settings for their Mg isotopic compositions. The majority of samples are indistinguishable from the depleted mantle (δ26Mg=-0.24 ‰ ± 0.04 ‰) irrespective of their origin. Only a small number of seafloor-weathered serpentinites are slightly enriched in the heavy isotopes (up to δ26Mg=-0.14 ‰ ± 0.03 ‰), implying that bulk serpentinites are unlikely sources of isotopically anomalous Mg in subduction zones. We also developed a partial dissolution method in which 5 % acetic acid for 180 min was shown to fully dissolve the minerals brucite and iowaite while leaving the serpentine mineral chrysotile essentially undissolved. Partial dissolution of 11 bulk serpentinite samples revealed Mg isotopic composition of brucite (± iowaite) that is systematically ∼0.25 ‰ heavier than that of coexisting serpentine. Thus, preferential breakdown of brucite and/or iowaite in a subducted slab prior to serpentine could preferentially release isotopically heavy Mg, which could subsequently be transported into the source region of arc magmas. Such a scenario would require brucite/iowaite breakdown to occur at pressures in excess of 3 GPa and produce fluids with very high concentrations of Mg that could be transported to arc magma source regions. Whether these conditions are met in nature has yet to be experimentally investigated.
The effect of ice shelf rheology on shelf edge bending
Authors: Buck W. Roger
Published: September 2024

Abstract. The distribution of pressure on the vertical seaward front of an ice shelf has been shown to cause downward bending of the shelf if the ice is assumed to have vertically uniform viscosity. Satellite lidar observations show that many shelf edges bend upward and that the amplitude of upward deflections depends systematically on ice shelf thickness. A simple analysis is presented showing that upward bending of shelf edges can result from vertical variations in ice viscosity that are consistent with field observations and laboratory measurements. Resultant vertical variations in horizontal stress produce an internal bending moment that can counter the bending moment due to the shelf-front water pressure. Assuming a linear profile of ice temperature with depth and an Arrhenius relation between temperature and strain rate allows derivation of an analytic expression for internal bending moments as a function of shelf surface temperatures, shelf thickness and ice rheologic parameters. The effect of a power-law relation between stress difference and strain rate can also be included analytically. The key ice rheologic parameter affecting shelf edge bending is the ratio of the activation energy, Q, and the power-law exponent, n. For cold ice surface temperatures and large values of Q/n, upward bending is expected, while for warm surface temperatures and small values of Q/n downward bending is expected. The amplitude of bending should scale with the ice shelf thickness to the power 3/2, and this is approximately consistent with a recent analysis of shelf edge deflections for the Ross Ice Shelf. These scaling relations should help guide fully two-dimensional numerical simulations of shelf bending.
Determinants of Financial Literacy and Investment Behavior: Evidence from University Students
Authors: Akram Muhammad Sulaman , Khan Noureen A. , Hamid Baharom , Khattak Mudeer
Published: September 2024

The research explores Financial Literacy (FL) among undergraduate students. The study aims to evaluate the FL of a specific group of undergraduate students. It investigates how different demographic and socioeconomic factors influence these students' FL and analyzes various demographic and socioeconomic factors to determine if they are better predictors of FL among students. The demographic and socioeconomic factors analysis shows that FL among university students is generally low. Male students studying business and coming from higher-income families have improved FL, while students in their early twenties typically have lower levels of FL. Educators should help low-income parents and women with FL, promoting financial inclusion. Helping women improve their financial understanding brings numerous benefits and positively influences the financial attitudes of their children, encouraging them to foster strong financial skills and knowledge from an early ages.
Impact of Consumer and FinTech Characteristics on FinTech Resistance: A Study from User Perspective
Authors: Aiman  , Mubashar Ammara , Um-e-Rubbab
Published: September 2024

The study's objectives are to identify the characteristics of customers and FinTech apps that resist using FinTech services in the era of technology. Consumer characteristics studied in this study were consumer-perceived digital self-efficacy and consumer-perceived digital knowledge. FinTech characteristics were perceived digital security concerns and perceived digital complexity.  Moreover, the research aimed to determine if consumers' techno-stress moderates the relationship between consumer characteristics and their resistance to FinTech. The model was supported by innovation resistance theory. Convenience sampling was used to gather data from 384 bank account holders from Rawalpindi and Islamabad. Adapted questionnaires with five-point Likert scales for each variable were used. Results indicated that all consumer characteristics have a negative and significant relationship with FinTech resistance. However, among FinTech characteristics, only perceived digital complexity positively influenced FinTech resistance, and the impact of perceived digital complexity was not found on FinTech resistance. The moderating role of techno-stress among all consumer characteristics and FinTech resistance was supported. The Moderating role of techno-stress was supported between FinTech characteristics i.e. perceived digital security and FinTech resistance but not supported between perceived digital concern and FinTech resistance. The findings suggest that educational initiatives, such as workshops, seminars, and online resources, can empower users with knowledge about FinTech solutions, thereby reducing perceived risk and resistance. Regular app reviews will help the organization adapt to evolving challenges and best practices in FinTech adoption.
Stock Price Prediction Using Machine Learning: Evidence from Pakistan Stock Exchange
Authors: Zafar Akhter  , Dr. Hassan Raza
Published: September 2024

This research investigates the utilization of machine learning methodologies for the purpose of forecasting the fluctuations in stock values inside the financial market. The application of a Random Forest classifier is utilized on a dataset including historical stock prices (namely, the KSE-100 Index) to generate predictions regarding the future movement of stocks, specifically whether they would experience an increase or decrease. The model is trained via a sliding window methodology and is assessed through the utilization of precision, recall, and F1-score criteria. The study furthermore incorporates the utilization of back testing and hyper-parameter tweaking techniques in order to enhance the performance of the model. The findings indicate that the model demonstrates a precision score of 58%, representing an enhancement compared to the previous score of 48%. Nevertheless, the model's total accuracy stands at a mere 58%, underscoring the need for future enhancements. The report additionally proposes potential avenues for future research, such as exploring alternate data sources, employing sentiment analysis techniques, and developing more advanced algorithms. The findings of this study hold significant significance for investors and financial institutions, as they highlight the potential of machine learning in facilitating informed investment decisions and improving financial forecasts and analysis.
Almanya’da Büyüyen Türk Öğrencilerin Türkçe Konuşmada Yaptıkları Telaffuz Hatalarının İncelenmesi
Authors: Taylan Mustafa
Published: September 2024

In the context of the labor migration agreement, the children of the first generation who arrived in the Federal Republic of Germany in 1961 often faced academic failure due to their lack of proficiency in German. Aware of this, the second and third-generation families started speaking predominantly German at home to help their children learn the language better, pushing Turkish to the background. Since speaking is the most common means of communication in society, effective communication largely depends on clear and correct speech. However, due to the phonetic differences between German and Turkish, children often make pronunciation errors when speaking. The aim of this study is to identify the causes of Turkish pronunciation errors among Turkish-origin students raised in Germany and to propose solutions. This research utilizes a case study within a qualitative research framework. Data collection was conducted through observation and interviews, and the data were analyzed using content analysis. In this study, sound recordings from six classrooms in two primary schools 62 students in North Rhine-Westphalia (NRW), Germany, were examined, and the causes of pronunciation errors, along with suggestions for correcting these errors, were provided. The findings reveal that although children are raised bilingually, they grow up in an environment where German is more dominant than Turkish. As a result, they tend to apply German language rules to Turkish when speaking, leading to pronunciation errors. Additionally, factors such as families speaking with dialects at home, the increase in intercultural marriages, similarities between some German and Turkish words, and differences in the letters of the two languages the number of pronunciation errors increases and contribute to these pronunciation errors. Keywords: Turkish-origin students, bilingualism, speech, pronunciation errors, stress
Feminidades travestis y trans en riesgo: de la vulnerabilidad habitacional a vivir en la calle
Authors: Paiva Verónica , Boy Martín
Published: September 2024

El objetivo de este artículo es relatar las diversas situaciones de vulnerabilidad habitacional que sufre la población travesti y trans de la Ciudad de Buenos Aires. Definimos a esta vulnerabilidad comouna situación de fragilidad específica que ciertos grupos sociales experimentan a la hora de acceder a un albergue digno en un marco de vulnerabilidad social más amplio. Dicha vulnerabilidad se vincula a la intersección entre la procedencia de familias que las expulsan, condiciones económicas adversas, bajo nivel educativo alcanzado y un estigma que produce una marcación social a la identidad de génerotrans. Dicha vulnerabilidad habitacional oscila entre 1) la dificultad para acceder al alquiler formal de inmuebles por no cumplir con los requisitos (garantías, recibos de sueldo y hasta no haber hecho el cambio registral) y/o por el rechazo de las/os propietarios debido a su identidad degénero; 2) la inadmisión en hoteles y pensiones que usualmente cuentan con instalaciones precarias e, incluso, 3) vivir en situación de calle. El artículo da cuenta de la relación entre la vulnerabilidad habitacionaly la identidad de género trans e identifica los rasgos específicos que ésta asume en la población travesti y trans. La llegada a la situación de calle es concebida como la máxima expresión de la vulnerabilidadhabitacional.
Saberes, formação e escrita situada de uma mulher africana em diáspora
Authors: Pereira Mendonça e Mendonça Lilian Aldina , Marconatto Marques Pâmela
Published: September 2024

Este artigo inspira-se no percurso da construção de uma tese de doutorado, intitulada “Bentana Fiu na Bida Teinha: devolvendo a nomenclatura e os sentidos da fome e da pobreza aos seus criadores, apoiando-se nos caminhos e vivências das tabankas na atual Guiné-Bissau”. E considera a autoetnografia como um meio de integrar o caminhar de uma jovem africana desde o seu retorno físico à terra, narrando a força da espiritualidade africana, aos ensinamentos da terra e a sua formação acadêmica na diáspora brasileira. Para isso, apresenta o desabrochar da escrita situada ao designar a sintonia da mente e o coração, onde a obediência das mãos que teclam se constitui em conquista no exercício da arte de escrever. Neste exercício, a autora expressa a gratidão pela materialização do oral na escrita como possibilidade de engrandecer a terra, a dimensão coletiva e os espíritos e a perspectiva generosa de cuidado com todos, tudo e todas. E por fim, a autora se entende, se aceita e se disponibiliza no processo de continuidade, da responsabilidade de dar seguimento na restauração e manutenção dos saberes dos nossos territórios-corpos.
Del hip-hop al feminismo comunitario: la experiencia del torneo de freestyle Suyai Free en Chile
Authors: Rodríguez Vega Nelson , Calderón-López Alma
Published: September 2024

El artículo examina la posible manifestación del feminismo comunitario en la escena del hip-hop en la ciudad de Concepción, Chile.La aparición del torneo de freestyle organizado por raperas, Suyai Free, ofrece antecedentes sugerentes sobre este fenómeno. El espacio surgió para proporcionar una oportunidad de desarrollo a las raperas frente a la exclusión y las barreras de género prevalecientes en el circuito local de batallas de rap. Suyai Free también se distingue por promover elrespeto a partir de erradicar rimas sexistas, machistas y misóginas de los duelos verbales, la horizontalidad en las relaciones sociales y procurar el bienestar de sus participantes como por ejemplo significa el apoyo a quienes son madres. Las organizadoras de este torneo de freestylefomentan una instancia comunitaria entre mujeres, pero que a la vez es inclusiva con otras identidades sociales.
Problemas do pluralismo médico: contribuições para uma perspectiva multiepistêmica no Sul global
Authors: Papalini Vanina
Published: September 2024

O artigo aborda alguns debates em torno do pluralismo, concentrando-se em particular no pluralismo médico. São apresentados vários aspectos que problematizam diferentes definições, destacando posições pragmáticas, críticas marxistas e decoloniais. O núcleo original oferecido ao debate é o esboço de um conjunto de parâmetros pluralistas: 13 no total, divididos em três dimensões, que servem para avaliar os diferentes sistemas médicos a partir de uma matriz diferente da eurocêntrica.
Landscape Architecture and Infrastructure of the Twentieth Century
Authors: Cengiz Gulnur
Published: September 2024

This book presents a wide range of landscapes that have been integral to the Modern Movement era. It aims to raise awareness of theirdesign significance and to broaden understanding of their diversity. It demonstrates the breadth of roles that landscape architects and affiliated designers have played in response to the demands wrought by social, political and environmental change, particularly in the post-World War II years. In this sense it draws attention to people and places that previously may have been marginally understood—‘invisible’ or ‘dislocated’—thus enabling them to be appreciated in new ways and to be considered more carefully in comparative analyses into the future. Included in this book are eighty-six landscapes spanning the twentieth century and representing the following thirty-eight countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Croatia, Cuba, Cyprus, Czech Republic, Finland, France, Ghana, Greece, Guatemala, India, Iran, Israel, Italy, Japan, Lebanon, Lithuania, Mexico, Portugal, Puerto Rico, Romania, Scotland, Serbia, Slovakia, Slovenia, Spain, Syria, Thailand, the Netherlands, Turkey, United States of America, and Venezuela. The contributors to this monograph are largely representatives of the International Committee for Documentation and Conservation of Buildings,Sites and Neighbourhoods of the Modern Movement, otherwise known as Docomomo International. Docomomo is made up of a wide range of people representing an array of cultures, expertise and interests, the distinctive ‘voices’ of which permeate this book.
USE OF REMOTE INFRARED THERMOGRAPHY FOR ASSESSING EFFICIENCY OF MEDICAL REHABILITATION OF THE PATIENTS AFTER OPERATIONS ON THE SPINE
Authors: KULIKOV A. , GAYDUKOVA T. , L'VOVA N. , BAYMURATOVA D.
Published: September 2024

The paper considers a possibility of using the remote infrared thermography for assessing efficiency of medical rehabilitation of the patients after operations on the spine with the use of various methods of physical therapy.
TOTAL IgE AND ANTIPERTUSSIS ANTIBODIES LEVELS IN REVACCINATED ADOLESCENTS DEPENDING ON DEVELOPMENT OF THE LOCAL AND SYSTEMIC REACTIONS
Authors: Kostinov Mikhail , PRUCKOVA E. , ChERDANCEV A. , ANDREEVA N. , HAMIDULINA A.
Published: September 2024

The paper considers the issues of revaccination of the adolescents against pertussis, dynamics of total IgE and antipertussis antibodies levels in revaccinated children aged 14, as well as development of local and systemic reactions.
A Comparison of Parameters of Weibull Distribution on Nigeria Stock Prices
Authors: Anderson Ugomma Chukwudi
Published: September 2024

This paper compared 2-parameter and 3-parameter Weibull Distribution using monthly average stock price returns of five different bottling companies enlisted in the Nigerian Stock market comprising Nigerian Breweries PLC, Coca-Cola Bottling Company, Guinness Nigeria PLC, Seven Up Bottling Company and International Breweries from 2012 to 2016 obtained from www.market.ft.com/data/equities/tearsheet/historical. The parameters were obtained using the Method of Moments (MOM) and were compared by the means of minimum Mean Squared Error; the result shows that Coca-Cola bottling company stock price return performed better under 2-parameter Weibull estimate while International Breweries was a choice under 3-parameter Weibull estimate. Also, the goodness-of-fit test was conducted using Kolmogorov-Smirnov Test and the result reviewed that the price of the stock returns does not follow a Weibull Distribution (P-value<0.05).
Joseph de Maistre y la política antimoderna
Authors: Segovia Juan Fernando
Published: September 2024

La política moderna, como de forma ejemplar se manifiesta en el constitucionalismo, es hija de un racionalismo mecanicista que, imaginando o inventando a los hombres como sean funcionales al mecanismo, conlleva la abolición de todo orden o de toda norma superior a la razón y la voluntad humanas. La lectura de las obras de Joseph de Maistre (1753-1821) permite comprender las causas de ese racionalismo mecanicista, advertir las consecuencias de su aplicación y descubrir unos fundamentos de la vida política y del derecho que harían del orden político-jurídico una institución más justa, por tanto, más estable y más conveniente al fin del hombre.
El Petro venezolano
Authors: Romero-Muci Humberto
Published: September 2024

El Petro no es moneda ni unidad de cuenta monetaria en Venezuela. Tampoco es un criptoactivo. Se trata de una forma simulada para (i) dolarizar y (ii) descontinuar el uso del bolívar (y la unidad tributaria) como unidad de cuenta de las obligaciones tributarias principales y accesorias. El uso del Petro infringe los artículos 318 Constitucional, 3 y 146 del Codigo Orgánico Tributario 2020 y 116 de la Ley del Banco Central de Venezuela que ordenan el uso del bolívar como unidad de cuenta y pago de las obligaciones tributarias como un requisito de estricta reserva legal.
Ilegalidad de los casinos y casas de apuestas deportivas en línea
Authors: Contardo Juan Ignacio
Published: September 2024

Comentario sobre la sentencia de la Corte Suprema rol n.º 152.138, caratulada Polla Chilena de Beneficencia S.A. con Mundo Pacífico S.A. de 12 de septiembre de 2023
Nacionalidad, derecho internacional y cargas públicas
Authors: Céspedes Rodrigo
Published: September 2024

Este trabajo comenta una sentencia sobre nacionalidad y servicio militar durante la vigencia de la Constitución de 1833. El fallo prueba la importancia del derecho internacional en el derecho público de la época y su relación con el derecho doméstico, que debía interpretarse de acuerdo con aquél.
Multifractal properties of Covid-19 data
Authors: Akhileshwar Prasad
Published: September 2024

Multifractal detrended moving average analysis (MFDFA) has been performed on time series of three different epidemiological indices, namely daily number of new cases per million population, reproduction rate and positive rate, recorded during the Covid-19 pandemic.  We consider India, Japan, USA and UK for this study. For all the series the scaling behavior of MFDMA fluctuation functions has been examined, and the multifractal variables like the generalised Hurst exponent spectra  and singularity spectra  have been calculated. It is found that the time series of the Covid-19 indices are of multifractal nature. The degree of multifractality of the reproduction rate series is significantly weaker than the other two series for all the countries. To find out the source(s) of multifractality, we generate a set of one hundred shuffled series and Amplitude-Adjusted Fourier Transform surrogate series for each of the original series. Comparing the results obtained from the original series with those from the shuffled and surrogate series we understand that the main source of multifractality in Covid-19 data is long-range temporal correlation among the series values.
Enhancing IoT Fog Computing Security: A Dynamic Nonlinear Analytical Model-Based SDN Assessment Framework
Authors: P. Lokesh Kumar Reddy
Published: September 2024

In the rapidly evolving landscape of the Internet of Things (IoT) and fog computing, securing distributed networks has become a critical challenge. The integration of IoT devices into various sectors, including industrial systems and everyday applications, exposes these environments to a wide range of dynamic security threats. This article introduces a novel security assessment framework titled "Enhancing IoT Fog Computing Security: A Dynamic Nonlinear Analytical Model-Based SDN Assessment Framework," which leverages Software Defined Networking (SDN) to enhance the security posture of IoT and fog computing systems. The framework employs nonlinear analytical models to dynamically optimize network configurations, enhance data privacy, and automate threat response mechanisms across IoT, fog, and cloud layers. It integrates distributed SDN controllers to manage resources, enforce security policies, and facilitate real-time monitoring and anomaly detection. Emphasizing localized security assessments at fog nodes, the framework reduces latency and offloads the cloud layer, ensuring rapid response to emerging threats. The nonlinear models underpin algorithms that adapt to changing network conditions, balancing security with operational efficiency. This dual focus enables the framework to address scalability, device integration, and real-time threat management. By adopting a dynamic and nonlinear approach, the framework provides a robust, adaptable solution to the complex security challenges in IoT and fog computing, fostering secure, efficient, and resilient network environments.
Some Common Fixed Point Theorems in Neutrosophic Metric Spaces
Authors: Pandiselvi. M
Published: September 2024

In this article, we construct some fixed point results for pair of self mappings and occasionally weakly compatible mappings on neutrosophic metric spaces. In order to show the strength of these results, some motivating examples are established as well.
Brain Hemorrhage Medical Imaging is Filtered with a PDE Based and Classified using Extracted Features
Authors: N. Bhuvaneswari
Published: September 2024

The health and well-being industry stands as one of the most important economic sectors that mostly depend on images. The method described in the investigation's results looks for any possible bleeding. In the most recent study, we suggested a method for using computed tomography (CT) scans to detect hemorrhage in the brain. The recommended method comprises three stages: initial image processing, filtration, and feature extraction. In this study, brain hemorrhage scan images are pre-processed using a ROF filter before hemorrhage incidences are categorized. We extracted features from the head CT picture using the LDP, LPQ, LGP, and NGTDM procedures. Applying the KNN classifier after the features of the images were retrieved produced generally satisfactory results.
Implementation of Optimization Algorithms in Electrical Network Design
Authors: Ramchandra Vasant Mahadik
Published: September 2024

The region of electrical arrange plan is changing rapidly since current control frameworks are getting more complicated and green vitality sources are being included. Optimization strategies are exceptionally imperative for making these systems more proficient, dependable, and long-lasting. This exposition gives an in-depth see at the diverse optimization strategies utilized in planning power systems. Classical strategies like straight programming (LP), mixed-integer straight programming (MILP), and nonlinear programming (NLP) are talked almost, with a center on how they can be utilized in arranging, running, and developing systems. The paper moreover talks approximately heuristic and metaheuristic calculations, such as hereditary calculations (GA), molecule swarm optimization (PSO), and insect colony optimization (ACO). These calculations give solid answers to troublesome, nonlinear, and multi-objective issues. It is additionally looked at how machine learning strategies can be utilized in optimization forms, showing how valuable they might be for prescient upkeep, stack expectations, and versatile control. The think about moreover looks at the part of progressed optimization strategies in shrewd lattices, centring on how they can handle disseminated vitality assets (DERs), improve demand response, and keep the network steady. By comparing these calculations, we are able learn more around how well they work, how rapidly they can be computed, and how well they fit distinctive plan circumstances. Issues like scale, meeting, and handling stack are talked almost, along side conceivable ways to induce around them. At the conclusion of the think about, it talks approximately conceivable bearings for future inquire about, such as making blended calculations, progressing execution in genuine time, and utilizing unused innovations like blockchain and the Web of Things (IoT). This paper needs to be a valuable asset for understudies and professionals who need to progress the execution and unwavering quality of current and future electrical systems by giving a total layout of optimization strategies in electrical arrange plan.
Effective Green Entrepreneurship and Sustainability: Analysis with a Hybrid Model
Authors: Shouvik Sanyal
Published: September 2024

The research paper evaluates the effectiveness of hybrid models in green entrepreneurship by focusing on their contributions in incorporating both sustainability, and profitability. Hybrid models include eco-social enterprises, circular economy frameworks, and sustainable business strategies that maintain economic growth and environmental responsibility in the same manner. The study evaluated the significance and global impact of hybrid models to green entrepreneurship, and sustainability through a systematic literature review. Regulatory barriers, market competition, and high costs are the challenges of adopting green entrepreneurship that need potential solutions. The results highlighted the way hybrid models promote long-term sustainable business practices. Henceforth, the research demonstrates the process through which eco-social enterprises incorporate sustainability into their core business operations along with remaining profitable in the competitive global market.
An Algorithmic Approaches of Solving Fuzzy Critical Path Problem using HaarRanking Octagonal Fuzzy Number Method
Authors: Rijwan Shaik
Published: September 2024

In a network analysis, find the critical path of the problem is an important techniques which involves planning and control of the large projects that are very complex in nature. Clear identification of each task will help to implement critical path successfully.But in real life situations the time duration cannot be predicted accurately due to   various delay or vagueness while execution of the project. During implementation of the project  one may encounter various delay or vagueness while   execution of the project.Critical path of the network gives an idea of minimum time one may expect to complete the project. Hence  the importance of the critical path play a major role in network analysis. In this paper, the concept of finding fuzzy critical path Haar Octagonal fuzzy number is introduced. New Algebraic arithmetic  of Haar Octagonal fuzzy numbers is also  discussed. A new method  for finding the critical path of the problem is introduced with the help of Floyd - Warshall  Algorithm and Haar Octagonal fuzzy numbers. A  suitable numerical examples are given to demonstrate the above methods.
Robust Deflectometry
Authors: Smith Braden , Brost Randy
Published: September 2024

Concentrating Solar Power (CSP) mirrors must have high slope accuracy in order to achieve high solar concentration. Deflectometry is an established method for measuring high-resolution, high-accuracy maps of mirror slope. In this paper we describe improvements to Sandia’s deflectometry system, SOFAST, which enable it to be accurately calibrated even in difficult conditions of poor access to system components, imperfect components, and varying ambient light. These extensions improve the robustness of the system and expand the range of problems it can solve.
Direct Thermal Comparison of New Generation SiC Solar Absorbers
Authors: Fernández-Reche Jesús , Monterreal Rafael , Ávila-Marin Antonio , Ferrari Luca , Gianella Sandro , Candelario Victor M.
Published: September 2024

A new generation of volumetric absorbers has been developed to improve both the mechanical robustness of SiC ceramic structures and the thermal behaviour of the new geometric designs. Within the NEXTOWER project, two new absorber designs have been developed for these purposes, one developed to improve mechanical performance and durability, and the other aimed at improving the thermal performance of the absorbers through a new gradual porosity design. Both designs have been tested, alongside of current state-of-the-art ceramic absorbers, under real concentrated solar radiation in the SolAir3000 receiver of the Plataforma Solar de Almería. The results show that the gradual porosity design is a promising way to significantly improve the thermal efficiency of volumetric SiC absorbers. At the same time, the new manufacturing processes show a significant improvement in the mechanical strength and durability of the new generation designs.
Economic Impact of CSP Plants with Storage Addressing the Energy Transition in Locations with High Electricity Demand in Chile
Authors: Hernández Catalina , Dinter Frank , Felbol Carlos , Cerda Maria Teresa
Published: September 2024

This study explores the economic implications of hybrid plants combining photovoltaic (PV) and Concentrated Solar Power (CSP) technologies with energy storage in response to Chile's ongoing energy transition. Utilizing the System Advisor Model (SAM), six diverse locations were evaluated to assess energy generation profiles, calculate the Levelized Cost of Energy (LCOE), and analyze gross margins. The key finding is that higher solar multiples or storage capacities do not consistently lead to lower LCOE, primarily due to operational strategies aligning CSP generation profiles with PV. Notably, northern regions consistently yield higher gross margins despite occasional zero marginal costs, while areas near Santiago experience lower gross margins, with Salamanca presenting the lowest margin. This highlights the critical role of available solar resources in shaping economic outcomes.
Stochastic Assessment of Predictions and Uncertainties for Reflectance Losses Based on Experimental Data for Three Australian Sites
Authors: Picotti Giovanni , Truong Ba Huy , Anderson Cody B. , Cholette Michael E. , Steinberg Theodore , Leslie Bruce
Published: September 2024

A stochastic reflectance loss model is applied to extended datasets of experimental data collected at three sites in Australia, each representative of a different environment: urban, rural, and remote outback. The three sites are analysed in terms of TSP (Total Suspended Particles) or PM10 (Particulate Matter below 10µm in diameter), depending on the available dust sampler deployed at each location. Assessment of seasonal and daily patterns are also performed for further understanding of local phenomena likely to affect soiling in the area. Airborne dust concentration data are exploited to provide density distributions of expected daily reflectance losses. These mean losses for the three sites are 0.31 pp/day, 0.72 pp/day, and 0.77pp/day for the outback, rural, and urban location, respectively. These values and their distributions are paramount for evaluation of a prospective plant profitability, planning for operating plants cleaning scheduling, and assessment of a prospective CSP location at site selection phase. The developed methodology is capable of providing highly valuable information based on easily measurable airborne dust concentration data only, hence becoming a critical step for de-risking CSP plants financing and deployment.