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World Journal of Orthopedics 2022年第3期13卷 329-338页

作者： Giulio Gorgolini Alessandro Caterini Lorenzo Nicotra fernando de maio Kristian Efremov Pasquale Farsetti department of Clinical Science and Translational Medicine University of Rome Tor VergataSection of Orthopaedics and TraumatologyTor Vergata HospitalRome 00133Italy

BACKGROUND Surgical correction of femoral deformities in polyostotic fibrous dysplasia(PFD)or McCune-Albright syndrome(MAS),such as coxa vara or shepherd’s crook deformity,is a *** To evaluate the treatment of patients with femoral deformities caused by PDF or MAS treated by osteotomies and stabilized with different methods,by analyzing the most relevant studies on the *** A literature search was performed in Medline database(PubMed).Articles were screened for patients affected by PFD or MAS surgically managed by osteotomies and stabilized with different *** The initial search produced 184 studies,with 15 fulfilling the eligibility criteria of our *** articles(1987-2019)included 111 patients overall(136 femurs).CONCLUSION Based on our results,the preferred method to stabilize corrective osteotomies is intramedullary nailing with neck cross *** the deformity is limited to the proximal part of the femur,a screw or blade plate may be used,although there is a high risk of fracture below the *** the femur is entirely involved,a two-stage procedure may be considered.

关键词： Polyostotic fibrous dysplasia McCune-Albright syndrome Coxa vara Shepherd’s crook deformity Femoral osteotomy Intramedullary nailing

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

Mindfulness training in medical education as a means to improve resilience,empathy,and mental health in the medical profession

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World Journal of Psychiatry 2024年第4期14卷 489-493页

作者： Edison Iglesias de Oliveira Vidal Luiz fernando Alvarenga Ribeiro Marco Antonio de Carvalho-Filho Fernanda Bono Fukushima Internal Medicine department Botucatu Medical SchoolSao Paulo State University(UNESP)Botucatu 18618-687SPBrazil Wenckebach Institute for Education and Training LEARN-Lifelong LearningEducation and Assessment Research NetworkUniversity Medical Center GroningenGroningen 9713AVGroningenNetherlands Assertiva Mindfulness Botucatu 18603-970SPBrazil Surgical Specialties and Anesthesiology department Botucatu Medical SchoolSão Paulo State University(UNESP)Botucatu 18618-687SPBrazil

The high rates of depression,burnout,and increased risk of suicide among medical students,residents,and physicians in comparison with other careers signal a mental health crisis within our *** contend that this crisis coupled with the inadequate acquisition of interpersonal skills during medical education results from the interaction between a challenging environment and the mental capital of ***,we posit that mindfulness-based practices are instrumental for the development of major components of mental capital,such as resilience,flexibility of mind,and learning skills,while also serving as a pathway to enhance empathy,compassion,self-awareness,conflict resolution,and relational ***,the evidence base supporting the effectiveness of mindfulness-based interventions has been increasing over the years,and a growing number of medical schools have already integrated mindfulness into their *** we acknowledge that mindfulness is not a panacea for all educational and mental health problems in this field,we argue that there is currently an unprecedented opportunity to gather momentum,spread and study mindfulness-based programs in medical schools around the world as a way to address some longstanding shortcomings of the medical profession and the health and educational systems upon which it is rooted.

关键词： Mindfulness Medical education Mental capital Mental health Medical students Resilience

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

Novel insights into D-Pinitol based therapies:a link between tau hyperphosphorylation and insulin resistance

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Neural Regeneration Research 2024年第2期19卷 289-295页

作者： Dina Medina-Vera Antonio Jesús López-Gambero Juan Antonio Navarro Carlos Sanjuan Elena Baixeras Juan decara fernando Rodríguez de Fonseca Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND UGC Salud MentalMálagaSpain Facultad de Ciencias Universidad de MálagaMálagaSpain CIBER Enfermedades Cardiovasculares(CIBERCV) Hospital Universitario Virgen de la VictoriaUGC del CorazónMálagaSpain University of Bordeaux INSERMNeurocentre MagendieBordeauxFrance Euronutra S.L.Calle Johannes Kepler MálagaSpain departamento de Bioquímica y Biología Molecular Facultad de MedicinaUniversidad de MálagaMálagaSpain

Alzheimer’s disease is a neurodegenerative disorder characterized by the amyloid accumulation in the brains of patients with Alzheimer’s *** pathogenesis of Alzheimer’s disease is mainly mediated by the phosphorylation and aggregation of tau *** the multiple causes of tau hyperphosphorylation,brain insulin resistance has generated much attention,and inositols as insulin sensitizers,are currently considered candidates for drug *** present narrative review revises the interactions between these three elements:Alzheimer’s disease-tau-inositols,which can eventually identify targets for new disease modifiers capable of bringing hope to the millions of people affected by this devastating disease.

关键词： Alzheimer’s disease cyclin-dependent kinase 5 diabetes D-Pinitol inositols insulin resistance kinases phosphorylation PI3K/Akt tau

Measurement of cryoelectronics heating using a local quantum dot thermometer in silicon

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Chip 2024年第3期3卷 1-7页

作者： Mathieu de Kruijf Grayson M.Noah Alberto Gomez-Saiz John J.L.Morton M.fernando Gonzalez-Zalba Quantum Motion 9 Sterling WayLondon N79HJUnited Kingdom London Centre for Nanotechnology University College London17-19 Gordon StreetLondon WC1H 0AHUnited Kingdom

Silicon technology offers the enticing opportunity for monolithic integration of quantum and classical electronic ***,the power consumption levels of classical electronics may compromise the local chip temperature and hence affect the fidelity of qubit *** the current work,a quantum-dot-based thermometer embedded in an industry-standard silicon fieldeffect transistor(FET)was adopted to assess the local temperature increase produced by an active FET placed in close *** impact of both static and dynamic operation regimes was thoroughly *** the FET was operated statically,a power budget of 45 nW at 100-nm separation was found,whereas at 216μm,the power budget was raised to 150μ*** temperature increase for the switch frequencies tested up to 10 MHz was observed when operating *** current work introduced a method to accurately map out the available power budget at a distance from a solid-state quantum processor,and indicated the possible conditions under which cryoelectronics circuits may allow the operation of hybrid quantum-classical systems.

关键词： Quantum dot Cryogenic electronics Thermometry Spin qubit Heat management

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

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