bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patología de la aorta y cardiopatías congénitas en niños y adolescentes con síndrome de Marfan, Loeys-Dietz y Ehlers-Danlos. Serie de casos
Authors: De Rubens Figueroa Jesús , García Castillo Andrés , González Rebeles Carlos , Lieberman Hernández Esther , Díaz García Luisa 
Published: July 2024

I
INTRODUCCIÓN: Los pacientes con aortopatías y enfermedades hereditarias del tejido conectivo, como el síndrome de Marfan (SM), Ehlers Danlos (ED) y Loeys-Dietz (LD), son frecuentes y tienen como principal causa de morbi-mortalidad la dilatación progresiva de la raíz de la aorta.
OBJETIVO: describir nuestra experiencia en las características cardiovasculares y evolución clínica de pacientes con SM, ED y LD.
MATERIAL Y MÉTODOS: Estudio transversal, observacional y retrospectivo en el que se revisaron expedientes de pacientes de los últimos 10 años. El diagnóstico se realizó con antecedentes familiares y criterios clínicos de Ghent. Se analizaron características cardiacas, tratamiento y comportamiento clínico.
RESULTADOS: Se estudiaron 51 pacientes: 30 pacientes con SM, 18 con ED y 3 con LD. Predominó el género masculino y la edad osciló entre 1 y 17 años de edad. Los pacientes con SM Tuvieron 50% de antecedentes familiares, con LD 66% y con ED 44%. Las alteraciones cardiovasculares se presentaron en pacientes con SM en el 73.3%, la más frecuente fue la dilatación de la raíz aórtica. El 66.6% pacientes con LD cursaron con afección vascular. El tratamiento fue a base de losartán y propranolol. Ninguno se manejó con cirugía cardiovascular. El seguimiento fue de 6 meses a 9 años. La mayoría cursaron sin sintomatología cardiovascular. Ninguno falleció.
CONCLUSIONES: En pacientes con SM y LD, la enfermedad cardiovascular es común en niños y adolescentes. Es recomendable continuar el monitoreo cardiovascular y el tratamiento temprano.
Tumores musculoesqueléticos en niños y adolescentes: Criterios de evaluación clínica, radiográfica y referencia
Authors: Zamora Tomas , Burdiles Alvaro , Wiestruck Maria Angelica , Botello Eduardo 
Published: July 2024

Los tumores óseos y de partes blandas son considerados como patologías poco frecuentes en la edad pediátrica; sin embargo, hasta un 18% de niños asintomáticos pueden presentar lesiones óseas benignas y tumores de partes blandas en radiografías realizadas por otra causa. Por otra parte, los sarcomas alcanzan hasta el 15% del cáncer infantil y en muchas ocasiones son diagnosticados de forma tardía o posterior a procedimientos realizados sin los cuidados oncológicos necesarios, comprometiendo su tratamiento y pronóstico.
DECENTRALIZED ISLAMIC FINANCE: HARNESSING BLOCKCHAIN TECHNOLOGY
Authors: Supriadi Iman , Maghfiroh Rahma Ulfa , Abadi Rukhul 
Published: July 2024

This study aims to understand how blockchain technology can be used to build a decentralized Islamic financial system. The method used in this research is literature analysis, which is further validated by case studies. The data analysis process was conducted using Systematic Literature Review (SLR) methodology. The main data sources were scientific publications, academic journals, books, and other reputable materials relevant to the research problem. The results of this study show that Blockchain Technology has the potential to reduce the dangers of corruption, money laundering, and illicit activities in the Islamic financial system. Moreover, the use of blockchain technology in decentralized finance ensures equitable access to participation in the financial ecosystem, thereby promoting the inclusion of minority populations. The challenges in implementing blockchain technology within the context of Islamic banking are also highlighted in this study. The contribution and implementation of this research are expected to offer insights into the potential of blockchain technology in constructing a decentralized Islamic financial system, guiding practitioners and academics toward innovative and sustainable solutions in Islamic finance
Use of Dexmedetomidine, Midazolam, and Ketamine in Prevention of Emergence Agitation in Pediatric Patients Undergoing Surgery Under General Anesthesia
Authors: Syilfana Hanifah , Indra Beni , Welan Rahmani , Effendi Rinal , Rustam Erlina 
Published: July 2024

Introduction: Emergence agitation (EA) is a problem that often occurs in pediatric patients during recovery from anesthesia. The cause of EA remained unclear, but the combination of etiologies increases the risk of postoperative agitation. The researchers use various drugs such as ketamine, midazolam, and dexmedetomidine to prevent and treat EA. Objective: This review aims to determine the effectiveness of dexmedetomidine, midazolam, and ketamine in preventing emergence agitation in pediatric patients undergoing surgery under general anesthesia. Method: This literature review is a narrative review that looks at the outcomes of randomized controlled trials (RCT) studies that tested how well dexmedetomidine, midazolam, and ketamine worked at keeping pediatric patients from becoming agitated during emergence. Literature was collected through Google Scholar and PubMed using the keywords Pediatric, Children, Dexmedetomidine, Ketamine, Midazolam, Emergence Agitation, Emergence Delirium, Postoperative Agitation, and Postoperative Delirium and published within the last ten years (2011–2021) in English or Indonesian. The researchers excluded articles that were not available in full, as well as literature reviews. Results: Based on the specified database and keywords identified, there were 695 articles. This literature study included thirteen articles that met the inclusion criteria. Ten articles examined the effectiveness of dexmedetomidine, four reviewed the effectiveness of midazolam, and three examined the effectiveness of ketamine. Conclusion: According to the ten reviewed articles, administering dexmedetomidine or ketamine reduced the incidence of emergence agitation in children. However, the administration of midazolam yielded inconsistent results. To evaluate the optimal dosage, route, and timing of dexmedetomidine, midazolam, and ketamine in preventing EA, further studies are necessary.
The use of N-acetylcysteine to prevent further progression of preeclampsia
Authors: Indrawan I Wayan Agung , Farida Leny 
Published: July 2024

HIGHLIGHTS
1. The generation of free radicals in the placenta leads to endothelial dysfunction, which contributes greatly in preeclampsia.2. N-acetylcysteine have a role in the oxidative stress pathway, helping in glutathione synthesis and as a free radical scavenger.3. N-Acetylcysteine supplementation in women with preexisting preeclampsia had positive effects on oxidative stress biomarkers, laboratory values, and blood pressure.

ABSTRACT
Objectives: Preeclampsia is a prevalent disorder among pregnant women, characterized by hypertension and proteinuria, leading to serious complications. However, the precise pathophysiology of preeclampsia remains debated. Oxidative stress is believed to play a significant role in its development, and N-acetylcysteine (NAC) is known to influence this pathway. NAC aids in glutathione synthesis, a critical antioxidant, and acts as a free radical scavenger. This study aimed to examine the role of NAC in women with preeclampsia, focusing on its potential therapeutic benefits.
Materials and Methods: A comprehensive literature search was conducted using PubMed and ScienceDirect databases, yielding 17 articles from PubMed and 395 articles from ScienceDirect. Reviews were excluded, resulting in 12 articles from PubMed and 89 articles from ScienceDirect. After further screening, 5 articles were selected for review, including 2 human studies and 3 animal studies, to understand the impact of NAC on preeclampsia.
Results: Human studies indicated that NAC supplementation reduced the rate of preeclampsia among women at increased risk. Animal studies supported these findings, showing improvements in oxidative stress biomarkers, laboratory values, and blood pressure in models treated with NAC. NAC supplementation was associated with positive outcomes in managing oxidative stress, a key factor in the pathogenesis of preeclampsia.
Conclusion: NAC supplementation in women with preexisting preeclampsia has beneficial effects on oxidative stress biomarkers, laboratory values, and blood pressure. These highlight the potential of NAC as a therapeutic intervention for preeclampsia, particularly in women at high risk. However, no significant differences were observed in maternal complication rate between the NAC-treated group and the control group. Further research is needed to fully understand the clinical implications of NAC supplementation and its long-term safety and efficacy in managing preeclampsia.
Left hemiparesis due to space-occupying lesion in pregnancy
Authors: Luminto  , Aryasatiani Ekarini , Panuntun Mahendro Aji , Hassan Bobby Wirawan , Sananta Tania , Neil Arya Elbert 
Published: July 2024

HIGHLIGHTS
1. Present a case report detailing the diagnosis and management of a space-occupying lesion identified late in pregnancy.2. Current studies consistently indicate that the optimal period for tumor removal during pregnancy is the second trimester, balancing maternal and fetal outcomes. This case report contributes to the existing literature by providing a practical reference for managing space-occupying lesions in accordance with the latest evidence.

ABSTRACT
Objectives: The objective of this study was to present the findings from cases of space-occupying lesions (SOL) that were diagnosed late in pregnancy. This case report aimed to highlight the importance of considering space-occupying lesions as a differential diagnosis in instances of hemiparesis during pregnancy, thereby raising clinical awareness and improving diagnostic accuracy.
Case Report: A female patient aged 30 years 34 weeks pregnant came with complaints of slurred speech since 3 months before entering the hospital accompanied by weakness in the left limbs since 3 months before admission. The patient felt weak and fell in the bathroom 2 times, at the office and at home. The patient had a history of taking aspilet for 1.5 months due to a misdiagnosis as a stroke in a Type B hospital and stopped when she came to the obstetric emergency room at a Type A Hospital for the first time. Cardiothoracograph examination shows a picture of a silent baby. Computed Tomography (CT) Scan examination showed a picture of hydrocephalus.
Conclusion: To date, it has not been proven that pregnancy triggers brain tumors. However, increased blood supply to the brain during pregnancy may lead to tumor growth. This is also evident in this case where there is an increase in maternal blood volume and subsequent cerebral blood flow, causing an increase in the size of the SOL. On the other hand, there is no evident that brain tumors directly harm the fetus, though fetal hypoxia may occur indirectly due to maternal respiratory failure.
Transfer of miR-100 and miR-125b increases 3D growth and invasiveness in recipient cancer cells
Authors: Nelson Hannah M. , Qu Shimian , Huang Liyu , Shameer Muhammad , Corn Kevin C. , Chapman Sydney N. , Luthcke Nicole L. , Schuster Sara A. , Stamaris Tellie D. , Turnbull Lauren A. , Guy Lucas L. , Liu Xiao , Mitchell Danielle L. , Semler Elizabeth M. , Vickers Kasey C. , Liu Qi , Franklin Jeffrey L. , Weaver Alissa M. , Rafat Marjan , Coffey Robert J. , Patton James G. 
Published: July 2024

Aim: Extracellular communication via the transfer of vesicles and nanoparticles is now recognized to play an important role in tumor microenvironment interactions. Cancer cells upregulate and secrete abundant levels of miR-100 and miR-125b that can alter gene expression in donor and recipient cells. In this study, we sought to identify targets of miR-100 and miR-125b and conclusively demonstrate that microRNAs (miRNAs) can be functionally transferred from donor to recipient cells.
Methods: To identify targets of miR-100 and miR-125b , we used bioinformatic approaches comparing multiple colorectal cancer (CRC) cell lines, including knockout lines lacking one or both of these miRNAs. We also used spheroid and 3D growth conditions in collagen to test colony growth and invasiveness. We also used Transwell co-culture systems to demonstrate functional miRNA transfer.
Results: From an initial list of 96 potential mRNA targets, we identified and tested 15 targets, with 8 showing significant downregulation in the presence of miR-100 and miR-125b . Among these, cingulin (CGN) and protein tyrosine phosphatase receptor type-R (PTPRR) are downregulated in multiple cancers, consistent with regulation by increased levels of miR-100 and miR-125b. We also show that increased cellular levels of miR-100 and miR-125b enhance 3D growth and invasiveness in CRC and glioblastoma cell lines. Lastly, we demonstrate that extracellular transfer of miR-100 and miR-125b can silence both reporter and endogenous mRNA targets in recipient cells and also increase the invasiveness of recipient spheroid colonies when grown under 3D conditions in type I collagen.
Conclusion: miR-100 and miR-125b target multiple mRNAs that can regulate 3D cell-autonomous growth and invasiveness. By extracellular transfer, miR-100 and miR-125b can also increase colony growth and invasiveness in recipient cells through non-cell-autonomous mechanisms.
Neurophysiological assessment of peripheral neuropathy through whole plantar nerve conduction in type 2 diabetes mellitus and healthy control subjects
Authors: Ricciardi Dario , Galiero Raffaele , Todisco Vincenzo , Tedeschi Gioacchino , Loffredo Giuseppe , Caturano Alfredo , Rinaldi Luca , Cirillo Giovanni , Sasso Ferdinando Carlo 
Published: July 2024

Aim: To neurophysiologically characterize the innervation of the sole and assess the diagnostic efficacy of whole plantar nerve (WPN) conduction study in type 2 diabetes mellitus (T2DM) patients and healthy control subjects.
Methods: This single-center prospective observational case-control study involved 51 individuals with T2DM and 34 healthy controls. All subjects underwent validated screening tests for peripheral neuropathy (PN), including proximal and distal sural nerve conduction study and WPN.
Results: The median amplitude of the compound nerve action potentials (CNAPs) and the sensory conduction velocity (SCV) recorded by WPN conduction were significantly lower in patients with T2DM as compared to healthy controls. Sural nerve conduction revealed that both proximal and distal sensory nerve action potentials amplitude and SCV were significantly lower in subjects with diabetes, as compared to healthy controls. As compared with sural nerve conduction, WPN shows a Sensitivity of 77% and a negative predictive value (NPV) of 77%.
Conclusions: WPN conduction study is helpful in characterizing the most distal nerve fibers in patients with T2DM and healthy controls. WPN may represent a useful tool in the diagnosis of length-dependent diabetic polyneuropathy.
A Fast History-Matching and Optimization Tool and Its Application to a Full Field with More than 1,000 Wells
Authors: Ren Guotong , Wang Zhenzhen , Lin Yuanbo , Onishi Tsubasa , Guan Xiaoyue , Wen Xian-Huan 
Published: July 2024

Summary
In this work, we study a waterﬂood ﬁeld containing more than 1,000 wells, and the modern ﬁeld management techniques with full-ﬁdelity 3D geocellular reservoir models become computationally prohibitive. To overcome the diﬃculty, we developed a novel ﬂow-network data-driven model—the general-purpose simulator-powered network (GPSNet) model—and used it for rapid history matching and optimization. GPSNet includes physics, such as mass conservation, multiphase ﬂow, and phase changes, while maintaining a good level of eﬃciency. To build such a model, a cluster of 1D connections among well completion points is constructed and forms a ﬂow network. Multiphase ﬂuid ﬂow is assumed to occur in each 1D connection, and the ﬂow in the whole network is simulated by our in-house general-purpose simulator. Next, to eﬀectively reduce the uncertainty, a hierarchical history-matching workﬂow is adopted to match the production data. Ensemble smoother with multiple data assimilation (ESMDA) plays an important role in reducing the error at each history-matching step. After that, the best-matched candidate is selected for numerical optimization to maximize ﬁeld oil production with constraints satisfying ﬁeld conditions. Excellent history-matching results have been achieved on the ﬁeld level, and good matches have also been observed for key producers. It is also worth mentioning that the history-matching process took a mere 4 hours to ﬁnish 1,100 simulation jobs. The successful application of the GPSNet to this waterﬂood ﬁeld demonstrates a promising workﬂow that can be used as a fast and reliable decision-making tool for reservoir management.
A Morphological Method for Predicting Permeability in Fractured Tight Sandstone Reservoirs Based on Electrical Imaging Logging Porosity Spectrum
Authors: Li Jiaqi , Xiao Liang , Zhang Wei , Liu Tianding , Xue Weifeng , Gao Feiming 
Published: July 2024

Summary
Permeability is a crucial parameter in formation evaluation, which reflects reservoir fluid mobility and directly influences subsequent development and production. In conventional to tight sandstone formations without fractures, numerous methods have been developed to predict permeability. However, permeability prediction accuracy based on the current method is low in fractured tight sandstone reservoirs due to the influence of heterogeneity, and little research is focused on permeability evaluation in such reservoirs. Conventional wireline and nuclear magnetic resonance (NMR) logging lose their role in fracture parameter evaluation, whereas electrical imaging logging is available for reflecting fracture information. Hence, we adopt electrical imaging logging, instead of conventional wireline and NMR logging, to predict permeability in fractured tight sandstone reservoirs.
In this study, we propose a morphological method for permeability prediction using electrical imaging logging. Initially, we process the electrical imaging logging data to obtain the porosity spectra and determine the peak of the primary porosity spectrum. We then extract the mean and standard deviation of the primary porosity spectrum based on its distribution morphology. Meanwhile, we also use the normal distribution function to fit the primary porosity spectrum and accumulate the amplitudes of the original and fitted porosity spectra, respectively. When the cumulative amplitude of the fitted spectra stabilizes, the corresponding porosity indicates the boundary between primary and secondary pores. This boundary allows us to calculate the proportion of primary pores to total pores. Permeability in fractured tight sandstone formations is influenced by both primary and secondary pores, showing a strong correlation with the proportion of primary porosity. Finally, we establish a permeability prediction model based on total porosity and the proportion of matrix pores.
The reliability of our established permeability evaluation model is confirmed by comparing the predicted permeabilities with core-derived results in the Triassic Chang 63 Member of the Jiyuan area in the Ordos Basin. In unfractured formations, the predicted permeability based on our raised model closely matches the results derived solely from total porosity. In fractured formations, however, the calculated permeability using our proposed model aligns more closely with the core-derived result, while predictions based on current and NMR models tend to underestimate permeability.
Dynamic Physics-Guided Deep Learning for Long-Term Production Forecasting in Unconventional Reservoirs
Authors: Mohd Razak Syamil , Cornelio Jodel , Cho Young , Liu Hui-Hai , Vaidya Ravimadhav , Jafarpour Behnam 
Published: July 2024

Summary
Neural network predictive models are popular for production forecasting in unconventional reservoirs due to their ability to learn complex relationships between well properties and production responses from extensive field data. The intricate flow behavior in hydraulically fractured unconventional reservoirs, which remains poorly understood, makes these statistical models particularly useful. Various neural network variants have been developed for production prediction in these reservoirs, each offering predictive capability of varying levels of granularity, accuracy, and robustness against noisy and incomplete data. Neural network predictive models that integrate physical principles are especially useful for subsurface systems, as they provide predictions that adhere to physical laws.
This work introduces a new dynamic physics-guided deep learning (DPGDL) model that incorporates physical functions into neural networks and employs residual learning to compensate for the imperfect description of the physics, under variable data support. The new formulation allows for dynamic residual correction, avoids unintended bias due to less-than-ideal input data, and provides robust long-term predictions. The DPGDL model improves upon a static formulation by utilizing a masked loss function to enable learning from wells with varying production lengths and by improving the results when partially-observed timesteps are present. In addition, a sequence-to-sequence residual model has been developed to correct additional biases in the long-term predictions from the physics-constrained neural networks. Several synthetic data sets with increasing complexity as well as a field data set from the Bakken are used to demonstrate the performance of the new DPGDL model.