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Navigating the controversy regarding antibiotic prophylaxis in acute variceal bleeding

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World Journal of Gastroenterology 2024年第18期30卷 2485-2487页

作者： David Aguirre-villarreal Ignacio García-Juárez Department of Gastroenterology and Liver Transplant Unit Instituto Nacional de Ciencias Médicas y Nutrición Salvador ZubiránMexico City 14080Mexico

Antibiotic prophylaxis in patients with cirrhosis and acute variceal bleeding is part of the standard of care according to most clinical ***,with recent evidence arguing against antibiotic prophylaxis,the role of this... 详细信息

关键词： Cirrhosis Acute variceal bleeding Antibiotic prophylaxis Endoscopic band ligation Spontaneous bacterial peritonitis

E-Commerce Fraud Detection Based on Machine Learning Techniques:Systematic Literature Review

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Big Data Mining and Analytics 2024年第2期7卷 419-444页

作者： Abed Mutemi fernando Bacao NOVA Information Management School(NOVA IMS) Universidade Nova de LisboaCampus de CampolideLisboa 1070-312Portugal

The e-commerce industry’s rapid growth,accelerated by the COVID-19 pandemic,has led to an alarming increase in digital fraud and associated *** establish a healthy e-commerce ecosystem,robust cyber security and anti-fraud measures are ***,research on fraud detection systems has struggled to keep pace due to limited real-world *** in artificial intelligence,Machine Learning(ML),and cloud computing have revitalized research and applications in this *** ML and data mining techniques are popular in fraud detection,specific reviews focusing on their application in e-commerce platforms like eBay and Facebook are lacking *** reviews provide broad overviews but fail to grasp the intricacies of ML algorithms in the e-commerce *** bridge this gap,our study conducts a systematic literature review using the Preferred Reporting Items for Systematic reviews and Meta-Analysis(PRISMA)*** aim to explore the effectiveness of these techniques in fraud detection within digital marketplaces and the broader e-commerce *** the current state of the literature and emerging trends is crucial given the rising fraud incidents and associated *** our investigation,we identify research opportunities and provide insights to industry stakeholders on key ML and data mining techniques for combating e-commerce *** paper examines the research on these techniques as published in the past *** the PRISMA approach,we conducted a content analysis of 101 publications,identifying research gaps,recent techniques,and highlighting the increasing utilization of artificial neural networks in fraud detection within the industry.

关键词： E-commerce Machine Learning(ML) systematic review fraud detection organized retail fraud

Exploring multifaceted factors in chronic kidney disease risk: A comprehensive analysis of biochemistry, lifestyle, and inflammation in elderly Chinese individuals

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World Journal of Clinical Cases 2024年第5期12卷 1033-1035页

作者： fernando Cardona Unitat de Genètica Molecular Instituto de Biomedicina de Valencia–CSICValencia 46010Spain Centro de investigación Biomédica en Red Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos IIIMadrid 28029Spain Departamento de Biotecnología Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural(ETSIAMN)Univeristat Politècnica de ValenciaValencia 46022Spain

This letter praises a recent article in the World Journal of Clinical Cases(Roles of biochemistry data,lifestyle,and inflammation in identifying abnormal renal function in old Chinese),examining factors affecting abnormal renal function in elderly Chinese using advanced machine *** highlights the importance of uric acid,age,hemoglobin,body mass index,sport hours,and systolic blood *** study's holistic approach,integrating lifestyle and inflammation,offers a nuanced understanding of chronic kidney disease risk *** letter suggests exploring mechanistic pathways of hyperuricemia,the link between anemia and renal function,and the connection between body mass index and estimated glomerular filtration *** advocates investigating physical activity's impact on renal health and the independent effects of blood *** study significantly contributes to chronic kidney disease understanding,proposing avenues for further exploration and *** are extended to the authors and the journal.

关键词： Biochemistry data Lifestyle Machine learning Renal function

Biotransformation of 6:2 fluorotelomer sulfonate(6:2 FTS)in sulfur-rich media by Trametopsis cervina

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Frontiers of Environmental Science & Engineering 2024年第9期18卷 17-26页

作者： Felix Grimberg Thomas M Holsen Sujan fernando Siwen Wang Department of Civil and Environmental Engineering Clarkson UniversityPotsdamNew York 13699USA

Biotransformation of 6:2 fluorotelomer sulfonate(6:2 FTS)by two species of white-rot fungi,Pleurotus ostreatus(***)and Trametopsis cervina(***),was investigated in a sulfurrich medium designed to stimulate production of lignin-degrading *** of 6:2 FTS was observed by *** over the study period of 30 d,but not by *** rates were comparable to those found in other studies investigating mixed culture degradation in nonsulfur limiting media,with approximately 50 mol%of applied 6:2 FTS removed after 30 *** transformation products were short-chain perfluorocarboxylic acids(PFCAs),including PFHxA(2.27 mol%),PFPeA(0.24 mol%),and PFBA(0.28 mol%).The main intermediate products include 5:2 sFTOH(16.3 mol%)and 5:3 FTCA(2.99 mol%),while 6:2 FTCA,6:2 FTuCA,and 5:2 ketone were also identified at low *** 60 mol%of detected products were assigned to the major pathway to 5:2 ketone,and 40 mol%were assigned to the minor pathway to 5:3 *** overall molar balance was found to decrease to 75 mol%by Day 30,however,was closed to near 95 mol%with a theoretical estimation for the volatile intermediates in the headspace,5:2 ketone and 5:2 *** different capabilities of the two white-rot fungal species for 6:2 FTS biotransformation in sulfur-rich media suggest that the enzyme processes of *** to de-sulfonate 6:2 FTS may be unrelated to sulfur metabolism.

关键词： White-rot fungus 6:2 fluorotelomer sulfonate(6:2 FTS) Biotransformation Sulfur-rich medium Intermediate products

Boosting efficiency in state estimation of power systems by leveraging attention mechanism

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Energy and AI 2024年第2期16卷 438-449页

作者： Elson Cibaku fernando Gama SangWoo Park Industrial Engineering New Jersey Institute of TechnologyNewarkNJUnited States Pendulum Systems DenverCOUnited States

Ensuring stability and reliability in power systems requires accurate state estimation, which is challenging due to the growing network size, noisy measurements, and nonlinear power-flow equations. In this paper, we introduce the Graph Attention Estimation Network (GAEN) model to tackle power system state estimation (PSSE) by capitalizing on the inherent graph structure of power grids. This approach facilitates efficient information exchange among interconnected buses, yielding a distributed, computationally efficient architecture that is also resilient to cyber-attacks. We develop a thorough approach by utilizing Graph Convolutional Neural Networks (GCNNs) and attention mechanism in PSSE based on Supervisory Control and Data Acquisition (SCADA) and Phasor Measurement Unit (PMU) measurements, addressing the limitations of previous learning architectures. In accordance with the empirical results obtained from the experiments, the proposed method demonstrates superior performance and scalability compared to existing techniques. Furthermore, the amalgamation of local topological configurations with nodal-level data yields a heightened efficacy in the domain of state estimation. This work marks a significant achievement in the design of advanced learning architectures in PSSE, contributing and fostering the development of more reliable and secure power system operations.

关键词： Power grids State estimation Attention mechanism Graph neural networks Distributed computation Grid cyber-security

Anthropometric Breast Measurements: Analysis of the Average Breast in the Mexican Female Population

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Journal of Biosciences and Medicines 2022年第3期10卷 124-135页

作者： David Flores-Soto Jose C. Martinez-López fernando Barbosa-villarreal fernando I. Recio-Espana Jaime A. García-Espinoza Alfredo Chama-Naranjo Ana P. Campollo-Lopez D. Deluna-Gallardo Alejandro Costa-Dulche Cuahutemoc Márquez-Espriella Division of Plastic and Reconstructive Surgery Hospital Central Sur de Alta Especialidad de Petróleos Mexicanos Mexico City Mexico

Introduction: The elements and perception of beauty vary between populations around the world. To obtain better results, surgical techniques should be planned based on anthropometric characteristics of the race, location, and body mass index (BMI). Objectives: To determine which are the standard measurements and anatomical proportions of the breast in a healthy Mexican women population. Materials and Methods: Female Mexican volunteers between 20 and 60 years of age, without any history of breast illness or breast surgery were studied. Demographic information and standard breast anthropometric measurements were collected manually by one of the authors. For the statistical analysis a Student-T test was performed, and the Pearson correlation coefficient was obtained using the latest version of SPSS software. Results: 78 volunteers were included in the analysis. Mean height, weight and BMI were 1.6 m, 68.9 Kg, and 26.6 Kg/m2 respectively. The mean anthropometric values found were: Supra Sternal notch to nipple distance (SSN:N) 22 cm, Breast volume (BV) 372.6 cm3, Upper breast pole length (UBPL) 11 cm, Lower Breast Pole length (LBPL) 7.7 cm, Midline to Nipple distance (ML:N) 10.2 cm, Transverse diameter of the Nipple areola complex (NAC-T) 4.1 cm, Height of the Nipple Areola Complex (NAC-H) 4.1 cm, Base of the breast (BB) 13.4 cm, Upper Pole to Lower Pole Ratio (UPP:LPP) 58.9:41.1. A statistically significant difference between Right and left breast was not found. The UPP/ LPP ratio in our population is far different from what is considered internationally aesthetic (45:55). A positive correlation was found between weight/ BMI and SSN:N, BV, BB, ML:N and LBPL. Also between age and SSN:N, LBPL, BV and BB. Conclusion: This study sets the Anthropometric grounds in Mexican population for an objective individual patient analysis and comparison with the female population of this and other nations.

关键词： Average Breast Anthropometric Measurements Mexico Breast Anthropometric Measurements Mexico

Surgical Complications in Breast Reconstruction: Assessment and Associations

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Journal of Biosciences and Medicines 2023年第6期11卷 171-181页

作者： Daniel De-Luna-Gallardo Jaime Aron García-Espinoza Cuahútemoc Márquez-Espriella Blanca Yadira Arámbula-Sánchez Marco Antonio Cuervo-Vergara Rodrigo Dávila-Diaz Ricardo García-Corral fernando Barbosa-villarreal fernando Isaac Recio-España Alberto Ignacio Cahuana-Quispe Plastic and Reconstructive Surgery Department Central South High Specialty Hospital of Petróleos Mexicanos Mexico City Mexico Plastic and Reconstructive Surgery Department Petróleos Mexicanos North Central Hospital Mexico City Mexico

Introduction: Breast cancer represents a pathology that generates catastrophic impact and has recently increased its incidence and survival due to timely diagnosis and treatment. Therefore, improving the quality of life of cancer survivors has become a priority, offering reconstructive procedures that reduce complications, costs, hospital stay, and optimize resources. Material and methods: 264 patients reconstructed with autologous tissue (TRAM flap and latissimus dorsi) and alloplastic (breast tissue expander—breast implant and direct breast implant) were included. Variables such as demographic, anthropometric, and histologic type were collected. Results: 62% were reconstructed through the use of alloplastics and 38% with autologous tissue. The risk factors related to a greater probability of immediate postoperative complications (surgical site infection, surgical wound dehiscence and reconstruction failure) were obesity (OR: 2.1, CI: 1.5 - 2.7), preoperative radiation (OR: 1.89, CI: 1.75 - 1.92), arterial hypertension (OR: 1.2), Diabetes Mellitus (OR: 1.78) and smoking (OR: 1.31). Conclusions: The reconstructive process is complex and influenced by patient factors, surgeon experience and the hospital center. However, when choosing the reconstructive strategy, risk factors present in each patient must be considered, since radiation and obesity present a greater probability of postoperative complications.

关键词： Breast Cancer Breast Reconstruction Obesity Radiotherapy TRAM

Pioneering the direct large-scale laser printing of flexible“graphenic silicon”self-standing thin films as ultrahigh-performance lithium-ion battery anodes

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Carbon Energy 2024年第7期6卷 26-40页

作者： Avinash Kothuru Adam Cohen Gil Daffan Yonatan Juhl fernando Patolsky School of Chemistry Faculty of Exact SciencesTel Aviv UniversityTel AvivIsrael Department of Materials Science and Engineering The Iby and Aladar Fleischman Faculty of EngineeringTel Aviv UniversityTel AvivIsrael

Recent technological advancements,such as portable electronics and electric vehicles,have created a pressing need for more efficient energy storage ***-ion batteries(LIBs)have been the preferred choice for these applications,with graphite being the standard anode material due to its ***,graphite falls short of meeting the growing demand for higher energy density,possessing a theoretical capacity that lags *** address this,researchers are actively seeking alternative materials to replace graphite in commercial *** promising avenue involves lithiumalloying materials like silicon and phosphorus,which offer high theoretical ***-silicon composites have emerged as a viable option,showing improved capacity and performance over traditional graphite or pure silicon ***,the existing methods for synthesizing these composites remain complex,energy-intensive,and costly,preventing widespread adoption.A groundbreaking approach is presented here:the use of a laser writing strategy to rapidly transform common organic carbon precursors and silicon blends into efficient“graphenic silicon”composite thin *** films exhibit exceptional structural and energy storage *** resulting three-dimensional porous composite anodes showcase impressive attributes,including ultrahigh silicon content,remarkable cyclic stability(over 4500 cycles with∼40%retention),rapid charging rates(up to 10 A g^(-1)),substantial areal capacity(>5.1 mAh cm^(-2)),and excellent gravimetric capacity(>2400 mAh g^(-1) at 0.2 A g^(-1)).This strategy marks a significant step toward the scalable production of high-performance LIB *** widely available,cost-effective precursors,the laser-printed“graphenic silicon”composites demonstrate unparalleled performance,potentially streamlining anode production while maintaining exceptional *** innovation not only paves the way for advanced LIBs but also sets a precedent for

关键词： 4D printing energy storage fast-charging laser-induced graphene lithium-ion silicon carbon composite anodes

Time-Series Embeddings from Language Models:A Tool for Wind Direction Nowcasting

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Journal of Meteorological Research 2024年第3期38卷 558-569页

作者： Decio ALVES Fabio MENDONCA Sheikh Shanawaz MOSTAFA fernando MORGADO-DIAS University of Madeira Campus Universitário da Penteada9020-105FunchalPortugal Interactive Technologies Institute/Laboratory for Robotics and Engineering Systems and Agência Regional para o Desenvolvimento da Investigação Tecnologia e InovaçãoEdif.Madeira TecnopoloCaminho da Penteada piso-29020-105FunchalPortugal

Wind direction nowcasting is crucial in various sectors,particularly for ensuring aviation operations and *** this context,the TELMo(Time-series Embeddings from Language Models)model,a sophisticated deep learning architecture,has been introduced in this work for enhanced wind-direction *** by using three years of data from multiple stations in the complex terrain of an international airport,TELMo incorporates the horizontal u(east-west)and v(north-south)wind components to significantly reduce forecasting *** a day with high wind direction variability,TELMo achieved mean absolute error values of 5.66 for 2-min,10.59 for 10-min,and 14.79 for 20-min forecasts,processed within a swift 9-ms/step *** degree-based analysis,in comparison,yielded lower performance,emphasizing the effectiveness of the u and v *** contrast,a Vanilla neural network,representing a shallow-learning approach,underperformed in all analyses,highlighting the superiority of deep learning methodologies in wind direction *** is an efficient model,capable of accurately forecasting wind direction for air traffic operations,with an error less than 20°in 97.49%of the predictions,aligning with recommended international *** model design enables its applicability across various geographical locations,making it a versatile tool in global aviation meteorology.

关键词： wind nowcasting wind components wind direction time series prediction deep learning