bluuebunny/crossref_metadata_2025_split huggingface dataset:
Excreção urinária de sódio de 24 horas e fatores associados na doença renal crônica não dialítica
Authors: Teixeira Thaisa Cristina Sousa , Dias Raimunda Sheyla Carneiro , Brito Dyego José de Araújo , França Ana Karina Teixeira da Cunha , Dantas Amanda Carolina França de Abreu , Diniz Jaqueline Sousa , Campelo Rosa Louise Carvalho , Morais Adya Evany Botelho , Dos Santos Elisangela Milhomem 
Published: February 2025

Este estudo objetiva determinar a excreção urinária de sódio em urina de 24h e correlacionar com fatores associados em pacientes com doença renal crônica não dialítica. Metodologia: Estudo transversal com 116 indivíduos. Avaliados dados demográficos, nutricionais, clínicos e laboratoriais. A excreção urinária de sódio foi analisada em urina de 24h e a taxa de filtração glomerular estimada pela equação CKD-EPI. As variáveis categóricas foram apresentadas por frequências e porcentagens, numéricas média ± SD ou mediana. Normalidade testada pelo teste de Shapiro Wilk. A mediana foi utilizada para determinar a excreção urinária de sódio nos estágios da Doença Renal Crônica. Para verificar a associação das variáveis com a excreção urinária de sódio 24h, utilizou-se a correlação de Pearson. Resultados: A idade média 51,1 ± 14,0 anos, 75,9% do sexo feminino, hipertensos e diabéticos 54,3% e 19,8 % respetivamente, 60,9% encontravam-se no estágio um da Doença Renal Crônica. A mediana da excreção urinária de sódio de 24h por estágios da doença foi maior nos estágios II 118,6 mmol/L/24h (78,4-155,5) e I 117 mmol/L/24h (96,6-141,0). Correlacionaram-se positivamente com excreção urinária de sódio 24h, índice de massa corporal (r = 0,19; p-valor 0,004), creatinina urinária (r = 0,48; p-valor <0,001), negativamente idade (r = -0,26; p-valor 0,006), colesterol total (r = -0,20; p-valor 0,036). Predominância de mulheres, hipertensos, estágio I da Doença Renal Crônica, ensino fundamental, renda menor que um salário mínimo. Conclusão: Idade e colesterol total correlacionaram-se negativamente com excreção urinária de sódio e positivamente com o índice de massa corpoal e a creatinina urinária.
Developing a Probabilistic Tsunami Hazard Assessment Framework for Pacific Sources: USGS Powell Center Meeting Summary
Authors: Patton Jason R. , Ross Stephanie L. , Eble Marie C. , Kyriakopoulos Christodoulos , Lynett Patrick J. , Nicolsky Dmitry J. , Ryan Kenny , Thio Hong Kie , Wilson Rick I. , Wu Baoning 
Published: February 2025

ABSTRACT
Multi-organizational principal investigators formed a U.S. Geological Survey (USGS) Powell Center Working Group (WG), Tsunami Source Standardization for Hazards Mitigation in the United States, to develop a comprehensive series of sources capable of generating tsunamis that could impact U.S. state and territory coastal areas using probabilistic tsunami hazard analysis (PTHA). PTHA results are commonly used to provide consistent tsunami hazard information for use in engineering and risk assessment and, to a lesser extent, hazard response planning. Following an initial weeklong planning meeting in April 2018, designed to establish the WG’s scope, a series of weeklong meetings devoted to aspects of tsunami hazards placed emphasis on assessment of various tsunami sources, including subduction zones in Alaska, the Atlantic and Caribbean, Cascadia, and the Pacific Basin, as well as landslides in Alaska, the Atlantic, and the Caribbean. The final meeting in the series discussed tsunami sources from crustal faults. These meetings, each with a regional geographic focus, were designed to incorporate reviews and feedback from subject matter experts (SMEs) in academia, private industry, and federal, state, and local governmental organizations. Incorporating consensus from SMEs is important because the results derived from the tsunami source models will be used to inform the public about potential hazards from tsunamis related to safety concerns. This paper describes the USGS Powell Center meeting in March 2023, devoted specifically to developing a PTHA for tsunami sources in the Pacific Ocean Basin other than the Alaska–Aleutian and Cascadia subduction zones that were addressed during previous WG meetings.
Paleoseismology of the Zia Fault and Its Impact on Seismic Hazard for Albuquerque, New Mexico, USA
Authors: McCalpin James P. 
Published: February 2025

ABSTRACT
The Zia Fault is one of three major east-dipping normal faults on the western margin of the Rio Grande Rift in the northern Albuquerque Basin. Our trenches were located about 250 m south of the northern rim of the Llano de Albuquerque (LdA), where a 100-m-wide graben has formed east of the main, 5-m-high fault scarp. The middle trench across the steepest, highest part of the scarp revealed evidence for four to five faulting events. Displacement in the latest three events ranged from 0.9 to 2.6 m, with an average of 1.8 m, and cumulative down-to-the-east throw of 4.6 m. Age control for faulted deposits in the trench came from thermoluminescence and infrared stimulated luminescence (IRSL) dating, and by calibrated accumulation rates of secondary carbonates. If the 4.6 m of throw accumulated over the past 32 ka, as indicated by secondary carbonates, then the average long-term slip rate is 0.14 mm/yr. This slip rate is greater than that inferred for the two other major faults on the LdA, the County Dump Fault (0.016–0.018 mm/yr) and the Calabacillas Fault (0.0053–0.0072 mm/yr). Luminescence ages were also in correct stratigraphic order but were roughly 5–10 times older than the carbonate rate ages. These ages are interpreted as overestimates due to anomalous fading, which is common with IRSL feldspar dating of sediments older than 100 ka.
Garlic Extract-Mediated SPIONs-Incorporated Nanohydrogel for Enhanced Wound Healing Potential
Authors: Parmanik Ankita , Bose Anindya , Panigrahi Lipsa Leena , Sahoo Rudra Narayan , Nayak Amit Kumar 
Published: February 2025

Background:
Superparamagnetic iron oxide nanoparticles (SPIONs) with a specific size
range of 15-70 nm are usually considered nontoxic substances with superior antibacterial activity,
making them strong candidates for wound dressing applications. Although SPIONs have significant
antibacterial activity, their ability to treat infected wounds still needs to be explored.

Objective:
The objective of the present study was to synthesize antibacterial SPIONs (G-SPIONs)
using aqueous garlic extract as a bioreducing agent and evaluate the synthesized G-SPIONsincorporated
nanohydrogel for wound healing potential.

Methods:
Synthesized G-SPIONs were characterized by SEM, zeta potential, VSM, FTIR, etc. The
antibacterial effects of G-SPIONs were evaluated against S. epidermidis, S. aureus, and E. coli, as
compared to garlic extract. The synthesized G-SPIONs were further incorporated into the chitosanbased
hydrogel (ChiG-SPIONs) to assess their wound healing potential using the in vivo rat model.

Results:
The synthesized G-SPIONs had a positive surface charge of +3.82 mV and were spherical,
with sizes ranging between 20-80 nm. Additionally, their hemo-biocompatible nature was confirmed
by hemolysis assay. The magnetic nature of synthesized G-SPIONs was investigated using a vibrating
sample magnetometer, and the saturation magnetization (Ms) was found to be 53.793emu/g. The
in vivo wound healing study involving rats revealed a wound contraction rate of around 95% with
improved skin regeneration. The histopathological examination demonstrated a faster rate of reepithelialization
with regeneration of blood vessels and hair follicles.

Conclusion:
The results demonstrated that the developed ChiG-SPIONs could be a novel and efficient
nanohydrogel dressing material for the effective management of wound infections.
Peran Pelaku UMKM Usaha Besi Bekas Dan Implikasinya Terhadap Ketahanan Ekonomi Keluarga (Studi di Kota Balikpapan, Kalimantan Timur)
Authors: Wibisono Gunawan 
Published: February 2025

Population growth in Balikpapan City is very high, Based on data from BPS Kaltim, the population growth rate from 2020 to 2022 is 1.26% and Balikpapan City has been designated as a buffer city for the capital of the archipelago, this is currently one of the national development priorities. There are many immigrants both from Kalimantan Island and from outside the island, which reduces the opportunities for Balikpapan City residents to earn income and increase family economic resilience. The scrap metal business as an Micro, Small and Medium Enterprise (MSME) is an opportunity to expand employment for the people of Balikpapan City, with the potential availability of scrap iron in Balikpapan City and also driven by the relatively high national demand for iron raw materials. Therefore, this research aims to analyze the role of scrap metal business actors as MSMEs and its implications for the economic resilience of families in Balikpapan City.This research uses a descriptive qualitative approach to explain the actual situation that is occurring and answer problems using scientific procedures. The research location is in Balikpapan City, with the objects studied being scrap metal business actors from various categories. Informants were selected using purposive sampling techniques and strengthened by snowball sampling. Data was analyzed qualitatively by data reduction, data presentation, drawing conclusions.The results of data analysis show that the role of scrap metal business actors in Balikpapan City between the three categories which include prospectors, collectors and scrap metal senders has a related relationship in terms of meeting scrap metal needs and fulfilling business capital. In terms of implications for family economic resilience, it was found that the economic resilience of prospectors for scrap metal was still weak because only four of the seven indicators of family economic resilience were fulfilled. Meanwhile, scrap metal collectors and shippers have strong family economic resilience, because they have fulfilled six of the seven indicators of family economic resilience.
Kemunculan Ancaman Siber Teknologi 5G dan Implikasinya terhadap Ketahanan Siber di Jakarta
Authors: Vincha Chiara , Satrio Jati 
Published: February 2025

ABSTRACT One of the main trends in technological development is the emergence of the 5G technology internet network. This technology offers more powerful capabilities. Because of this, the Indonesian government is also committed to implementing the technology on a massive scale. The government, through the National Cyber and Crypto Agency (BSSN), has realized that 5G technology not only creates opportunities for national development but also presents new cyber threats to national cyber security.This research aims to analyse the implications of the emergence of 5G technology for Indonesia's cyber resilience, where the author will use the dual-use security dilemma concept. This research uses exploratory qualitative method with interview and literature study as its data collection techniques. The interviews were held with the National Cyber and Crypto Agency (BSSN) employees from the Directorate of Cyber and Crypto Security Strategy and cyber security observers. The literature study method used internet sources, news, books, journals, articles, previous studies, and other scientific papers related to the topic. The data is presented using descriptive analysis method.From the results, the author found that the dual-use security dilemma of 5G technology has encouraged the Indonesian government to develop a National Cyber Security Strategy that can maintain cyber resilience with the emergence of new cyber threats from this technology
Аnalysis of cases of adverse reactions during the use of antiretroviral therapy in pregnant women
Authors: Useinova A. N. , Maryanenko S. P. , Egorova E. A. , Matveev A. V. , Beitullaev A. M. 
Published: February 2025

Antiretroviral therapy is a treatment that involves the regular use of a combination of antiviral drugs. During pregnancy, women with human immunodeficiency virus (HIV) do not stop antiretroviral treatment, as this is necessary to reduce the risk of HIV transmission from the mother to the fetus. However, the body of a pregnant woman can affect the way the antiretroviral medications work, called their pharmacokinetics and pharmacodynamics. This can increase the risk of adverse drug reactions (ADR) from the medications.The aim of the study was investigated of the frequency of ADR of antiretroviral therapies based on analysis of spontaneous reports of ADR among pregnant women who were registered in the ARCADe regional database (Adverse Reactions in Crimea, Autonomous Database). Materials and methods. The study included 64 spontaneous ADR reports registered in the electronic database of spontaneous ARCADE messages in the Republic of Crimea between January 1, 2012 and December 31, 2021. These reports were collected from pregnant women who were taking ARP.Results and discussion. The most common types of ADR have been reported when using combined antiretroviral medications and nucleoside reverse transcriptase inhibitor drugs. The combination of lamivudine and zidovudine drugs was the most frequent cause of adverse effects among pregnant women on antiretroviral therapy. Hematopoietic disorders and dyspepsia were the most prevalent clinical manifestations of the ADR. Almost 85% of identified ADR required medication adjustment, although only 5% were classified as severe manifestations of the events.Conclusion. Long-term antiretroviral drug use requires regular monitoring of ADR, particularly during pregnancy, to provide timely care and maintain high levels of patient adherence to an effective antiretroviral treatment regimen. Despite the high incidence of anemia, skin, and dyspeptic problems, the proportion of serious ADR was found to be relatively low, which justifies the use of antiretroviral therapy during pregnancy. This justifies the continued use of antiretroviral therapy during pregnancy, as it has undeniable benefits in preventing transmission of HIV from mother to child, suppressing viral replication, and reducing mortality in infants.
Еxperience of beginning antiretroviral therapy in a military medical organization
Authors: Kozlov K. V. , Bulygin M. A. , Shamigulov V. D. , Kicherov K. D. , Maltsev O. V. , Shakhmanov D. M. , Bulan’kov Yu. I. , Uliukin I. M. , Lyashenko Yu. I. 
Published: February 2025

Military personnel constitute a separate cohort of the population with characteristic features of the spread and course of HIV infection associated with military life, the nature and physiology of military labor. At the same time, it is assumed that more than 2.2% of the male population of mobilization age in Russia are HIV affected.The aim: analysis and generalization of the experience of the infectious diseases clinic of the Military Medical Academy in prescribing antiretroviral therapy.Material and methods included all case histories of patients who were hospitalized in the clinic from March 2022 to September 2024 with a diagnosis of HIV infection (n=107). At the second stage of the study, cases requiring antiretroviral therapy were selected (n=42).Results and discussion. 88% of patients were in the stage of secondary diseases of HIV infection. Severe immunodeficiency according to the classification of immune disorders of the World Health Organization was determined in 83,3%. The average CD4+ lymphocyte level was 151±49 cells/μl (11.3±2.9%). The most frequently prescribed antiretroviral therapy regimen was a combination of lamivudine, tenofovir and dolutegravir.Conclusion. A distinctive feature of military medical organizations is the inclusion of infectious disease departments as structural units, which distinguishes them from civilian multidisciplinary hospitals in terms of patient’ integrated management. It has become possible to simultaneously provide medical care to polymorbid patients by a multidisciplinary team in the conditions of a single medical organization. The experience of departmental medicine can be useful in providing high-quality medical care to the civilian population.
Medical and social portrait of a newly diagnosed tuberculosis patient with HIV infection in the Tomsk region
Authors: Filinyuk O. V. , Loginova Yu. A. , Ryumkina I. V. , Alliluev A. S. 
Published: February 2025

The aim. To identify the medical and social features of respiratory tuberculosis in newly diagnosed patients in combination with HIV infection.Materials and methods. For the analysis, information was used on 1,234 newly diagnosed patients with verified respiratory tuberculosis with or without HIV infection during two follow-up periods (from January 2017 to March 2019 and from November 2019 to December 2021).Objectives of the study. To conduct a dynamic analysis of clinical and epidemiological data of patients with newly diagnosed respiratory tuberculosis and HIV infection; to determine the level of multiple drug resistance of MBT to anti-tuberculosis drugs.Results and discussion. A newly diagnosed patient with HIV-associated tuberculosis living in an area with a high prevalence of HIV (Tomsk region) is mainly an urban resident, a young man aged 18–40 years, with an HIV infection history of 3 or more years, not registered for HIV in a quarter of cases, and with severe immunodeficiency in 60% of cases. During the observation period, the proportion of patients with a CD4 lymphocyte level below 200 cells/ml increases (53.3% and 60.9%, respectively, p=0.07), and as a pathogenetic result of severe immunodeficiency, the proportion of patients with disseminated pulmonary tuberculosis increases proportionally (49.8% and 63.8%, respectively, p=0.001); primary multiple drug resistance of the pathogen reaches a frequency of occurrence of 43.1% in TB/HIV, and 23.8% in patients without HIV infection (p<0.001).Conclusion. First identified tuberculosis in HIV-infected patients in the region with high prevalence of HIV (Tomsk region) is characterised by an advanced severe course with a high frequency of MDR MBT without dynamic improvement.
The assessment of clinical and laboratory complications in newborns of diabetic mothers and proposal of a manual for obtaining anamnestic data (about newborn) for a neonatologist
Authors: Gregáňová Lucia , Brucknerová Jana , Ujházy Eduard , Dubovický Michal , Brucknerová Ingrid 
Published: February 2025

Abstract
Diabetes mellitus (DM) is one of the most common metabolic disorders in pregnancy. In infants of diabetic mothers, the morbidity and incidence of complications are increased in the prenatal, perinatal and neonatal periods, but also in the later period of life. The aim of this study was to analyse prenatal and postnatal neonatal complications. The study consisted of 96 newborns who were hospitalized from January 1st 2017 to June 30th 2020. 81.3% of newborns were born to mothers with gestational diabetes. 61.5% were born by Caesarean section. Macrosomia was diagnosed in 15%, birth trauma occurred in 24% of cases. Respiratory distress syndrome developed in 34.4% of neonates, syndrome of persistent pulmonary hypertension in 10.4%, congenital heart disease was present in 35.4%. The most common was persistent ductus arteriosus in 18.75%. Hypertrophic cardiomyopathy was diagnosed in 7 newborns (7.3%), of which 6 times without obstruction and 1 time with obstruction of the outflow tract of the left ventricle. 15.6% had congenital malformation of the digestive system and 12.5% had anomaly of the urinary and genital system. The largest proportion of the congenital malformations of CNS had meningomyelocele (6.25%). Hypoglycaemia was confirmed in 22% and hyperbilirubinemia in 30% of newborns. The obtained results were a source for creating the manual that could help neonatologists or paediatricians in practice, to get a comprehensive picture of a newborn whose mother had DM during pregnancy.
Applied Generative AI and Deep Learning Techniques to Optimize and Automate Geophysical Workflows
Authors: Dubovik A. S. , Altynova A. Y. , Khudorozhkov R. L , Kozhevin A. A. , Novikov D. V. 
Published: February 2025

In the energy sector, traditional methods of subsurface data management and analysis face significant challenges that impact the efficiency and effectiveness of upstream oil and gas projects. Current approaches to seismic data processing and interpretation are often hindered by time-consuming manual processes, limited data accessibility, and fragmented workflows that struggle to integrate diverse data types. These limitations result in extended project timelines, increased operational costs, and potential oversights in critical geological interpretations, particularly when dealing with large-scale seismic datasets and complex geological structures such as stratigraphic traps and subtle fault systems. Recent developments in artificial intelligence, particularly in deep learning architectures and large language models, have demonstrated potential in addressing these challenges through automated analysis of geological reports, optimization of processing workflows, and enhancement of reservoir simulation procedures.
The integrated AI framework presented in this paper aims to address these fundamental challenges through four key components. The Intelligent Seismic Identification system employs deep learning models based on ResNet50 architecture for rapid location and retrieval of seismic volumes, while the Transformative Seismic Analysis component integrates convolutional neural networks with specialized processing pipelines to generate automated metadata and detailed geological insights. The Seismic Insights Assistant leverages advanced natural language processing capabilities for complex geological data analysis, complemented by the Synthetic Seismic Generation service that combines generative adversarial networks and diffusion models to create realistic 3D seismic volumes. This comprehensive approach integrates diverse data types, including SEG-Y format seismic volumes, interpretation reports, and well data, through multi-stage processing pipelines optimized for geoscience applications.
The framework represents a potential advancement in automated geoscience analysis, designed to transform traditional workflows by enabling seamless interaction between users and their geoscience projects. Through integration with 3D visualization software APIs and machine learning pipelines optimized for geological data processing, the system aims to analyze multi-modal data types, executing complex commands and generating detailed insights that support informed decision-making in exploration and production activities. The integration of these components addresses the full spectrum of industry needs, from data management and interpretation to synthetic data generation and knowledge extraction.