bluuebunny/crossref_metadata_2025_split huggingface dataset:
Os ângulos de distalização e lateralização do ombro na artroplastia reversa podem interferir nos resultados funcionais em pacientes com artropatia do manguito rotador?
Authors: Dainotto Tamara , Gómez Diego , Ernst Glenda 
Published: March 2024

Resumo
Objetivo: Avaliar a influência dos valores radiográficos nos resultados clínicos e funcionais em pacientes tratados com artroplastia reversa para artropatia do manguito rotador utilizando um desenho lateralizado.
Métodos: Foi realizada uma análise retrospectiva. Foram registradas as demografias dos pacientes, bem como o intervalo de movimento pré-operatório e pós-operatório. A função foi calculada usando a pontuação Constant-Murley tanto antes como depois do procedimento. Radiografias pré e pós-operatórias anteroposteriores e axiais do ombro afetado foram analisadas. Nas imagens pré-operatórias, foram calculados a distância acromioumeral (DAU) e offset lateral umeral (OLU). As medidas pós-operatórias incluídas foram DAU, OLU, ângulo de distalização do ombro (ADO) e ângulo de lateralização do ombro (ALO). Foi realizada uma análise de regressão linear e regressão quadrática para determinar seu grau de associação com os resultados funcionais finais. Aplicando uma análise de regressão quadrática e curvas ROC, os valores de corte foram determinados em relação aos ângulos acima mencionados e o valor preditivo positivo foi calculado.
Resultados: As maiores faixas de elevação anterior (EA) foram encontradas com ADO entre 40 e 45° e ALO entre 80 e 90°, enquanto a melhor abdução (ABD) foi observada com ALO de 90 e 100°. A DAU pré-operatória foi correlacionada com a rotação externa (RE) (rs: 0,47; p: 0,049). A DAU pós-operatória apresentou uma relação diretamente proporcional com a EA (rs: 0,49; p: 0,03). A ABD pós-operatória mostrou uma regressão linear inversa com a DAU pré-operatória (rs: -0,44, p: 0,047). O ALO e o ADO estavam inversamente relacionados.
Conclusão: Determinamos que um ADO entre 40 e 45° e um ALO de 80 e 100° poderia levar a uma melhor amplitude de movimento em relação à EA e ABD em pacientes com artropatia do manguito rotador tratados com artroplastia reversa de ombro.
Avaliação do tratamento cirúrgico de pacientes acima de 90 anos com fraturas de quadril e sua morbimortalidade
Authors: Burguêz Daniela , Menegatti Rangel , Susin Felipe Odeh , Dornelles Lauro Manoel Etchepare , Serafini Osvaldo André 
Published: March 2024

Resumo
Objetivo: As fraturas de quadril em idosos são as que mais impactam na saúde do paciente e estão associadas a muitas complicações, levando a redução da capacidade funcional, da qualidade de vida e da expectativa de vida. O nosso trabalho visa trazer mais dados epidemiológicos sobre os desfechos dessas fraturas em nonagenários em uma grande cidade atendidos em um hospital terciário.
Métodos: O trabalho foi realizado através de revisão de prontuários e entrevistas.
Resultados: Foram realizadas 82 cirurgias em 76 pacientes nesse período. A média de idade foi de 92,5 anos, 90% eram mulheres e ficaram 10,4 dias internados. A cirurgia foi realizada em média 2,3 dias após a internação. Do total, 46 fraturas foram trocantéricas (56%) e 34 do colo do fêmur (41,5%). Foram realizadas 41 cirurgias com a técnica da haste cefalomedular curta (50%) e 18 artroplastias parcial de quadril (22%). Durante a internação, 46 pacientes (55%) não apresentaram complicações, excluindo episódios de delirium, e 7 pacientes (9% dos casos) evoluíram para óbito. 42 pacientes já fecharam 1 ano após cirurgia: 56% estão vivos e 44% evoluíram para óbito.
Conclusões: O tratamento de fraturas de quadril em pacientes idosos é desafiador. O nosso objetivo deve estar focado em ajudar esses idosos a receber um tratamento rápido e menos agressivo possível e a mobilizar precocemente. Esperamos que, com os dados apresentados nesse trabalho, possamos entender melhor acerca das características da nossa população nonagenária vítimas de fratura de quadril e buscar o melhor tratamento possível para esses pacientes.
Parafuso pedicular percutâneo em fraturas toracolombares: Acompanhamento em longo prazo
Authors: Furtado Marcos Vinícius da Rocha , Braga Gabriel Santos , Rossanez Roberto , Herrero Carlos Fernando Pereira da Silva 
Published: March 2024

Resumo
Objetivo: Este é um estudo de coorte retrospectivo para analisar os desfechos em longo prazo de pacientes com fratura da coluna toracolombar submetidos à fixação percutânea minimamente invasiva.
Métodos: Os casos de 17 pacientes com fraturas da coluna toracolombar submetidos à fixação percutânea entre 2009 e 2011 foram objeto de análise retrospectiva. Variáveis clínicas e radiográficas foram coletadas. A avaliação clínica foi baseada nos questionários SF-36 e Oswestry. Os parâmetros radiográficos foram avaliados de acordo com a classificação de fratura baseada nos critérios de Magerls, o ângulo de cunha da vértebra fraturada e o ângulo de Cobb do segmento acometido. As medidas foram feitas em diferentes momentos: antes da cirurgia, imediatamente após a cirurgia, um ano depois e no acompanhamento tardio (cinco anos depois). Lesões associadas a traumas, complicações pós-cirúrgicas e relacionadas a implantes também foram consideradas.
Resultados: O questionário SF-36 apresentou médias acima de 63,5% em todos os domínios no período pós-operatório tardio (a partir de cinco anos após a cirurgia). As respostas do questionário Oswestry mostraram limitações físicas mínimas ou nulas em 80% dos pacientes, com pontuação média de 10,8% ± 10,5%. O valor médio do ângulo de Cobb foi de 5,53° ± 13,80° de cifose no período pré-operatório, 2,18° ± 13,38° de cifose no pós-operatório imediato, 5,26 ± 13,95° de cifose no pós-operatório de um ano e de 8,78° ± 15,06° de cifose no período pós-operatório tardio. A correção média foi de 3,35° e a perda média de correção foi de 6,6°. Não foram observadas complicações, casos de déficit neurológico, infecções ou falhas do implante.
Conclusão: As fraturas das vértebras toracolombares podem ser tratadas cirurgicamente com desfechos clínicos e radiológicos tardios positivos e baixas taxas de complicações usando um método percutâneo minimamente invasivo.
Shared recycling model for waste electrical and electronic equipment based on the targeted responsibility system in the context of China
Authors: Chu Tao , Ma Jingai , Zhong Yongguang , Sun Hao , Jia Weiqiang 
Published: March 2024

AbstractThe formal recycling of waste electrical and electronic equipment (WEEE) has long faced collection difficulties owing to the inadequate recycling system and insufficient collection capacity under China’s fund-based recycling model. The government has introduced the recycling Target Responsibility System (TRS) to motivate producers to develop and share recycling systems, yet without clear incentive mechanisms. In this study, we provide a “1 + N” shared recycling model referring to the theory of the sharing economy, and we propose a credit mechanism with a deposit system and a penalty mechanism for dishonesty to constrain the opportunistic behavior of sharing. In addition, according to the TRS, we design a “reduction-penalty-subsidy” fund policy to incentivize producers and recyclers to achieve recycling targets. On this basis, we apply evolutionary game theory and system dynamics approach to analyze the collaborative mechanism of shared recycling and the incentive effect of the funding policy. Game analysis yields the evolution of shared recycling from the developing stage to the mature stage. The system simulation results indicate that the government’s “penalty” and “subsidy” strategies provide evident incentives for producers and recyclers, respectively, in the developing stage, whereas endogenous dynamics derived from economies of scale under market mechanisms promote the multi-agent collaborative implementation of shared recycling in the mature stage.
An investigation into employees’ factors of flexible working hours (FWH) for productivity in Saudi: a mixed qualitative triangulation
Authors: Mohiya Mohamed 
Published: March 2024

AbstractOne of the most controversial HRM topics that have received extensive attention from academics and practitioners communities over the past two decades is flexible working hours (FWH) and its impact on productivity. Nevertheless, the work is focused almost exclusively on business and organizational aspects neglecting the employees’ and social perspectives, and thus far lacks a strong theoretical foundation, particularly social theory. Therefore, unlike other work, the present study focuses heavily on the employees’ perspective based on a social theory; namely: social exchange theory (SET). This study aims to explore and evaluate the antecedents for requesting FWH, mainly: employee and social-related factors, which affect their productivity. SET was found valuable to serve the aim of the research because it magnifies the importance of the employee as a partner who is in reciprocal social relations. Two mixed triangulated sets of qualitative data were collected, namely: semi-structured interviews and document analysis (cross-sectional and longitudinal). Thirty-two interviews were conducted with employees and with management. Document analysis is a novel source of data that was extracted from the company’s internal technological platform and contains employees’ first-hand computerized typewritten comments about FWH. The analysis of the findings reveals that the most significant factors found affecting employees’ decision to demand FWH for productivity are midday breaks, traffic/transportation, schooling, and social life. Moreover, the findings suggest that HR practitioners need to recognize employees’ social factors before applying FWH practice. This present research makes an original and important contribution to HRM scholarship and reflects theoretical rigor (social exchange theory), methodological (mixed triangulation methods), empirical, and practical. For example, theoretical contributions regarding SET’s reciprocity “black box” were highlighted. Moreover, the implication of the findings assists HR, in particular in Saudi organizations, to ensure the FWH contributes to overcoming these identified employees’ related antecedents.
Iron-nitrogen co-doped biochar (FeN@BC) as particle electrode for three-dimensional (3D) electro-peroxydisulfate process for tetracycline degradation
Authors: He Dongcai , Chen Pu , Zheng Peng , Yang Mengying , Liu Lang , Yuan Shaochun 
Published: March 2024

In this work, a three-dimensional electrode material (FeN@BC) was prepared by doping iron-nitrogen sites into biochar for activating peroxydisulfate (E-FeN@BC-PS). The scanning electron microscope, x-ray diffractometer, Fourier transform infrared spectroscopy, and x-ray photoelectron spectroscopy results of FeN@BC proved that Fe–N sites were successful doped into BC. Electrochemical analysis indicated that FeN@BC could enhance the electron transfer in the electrochemical process. A significant synergistic effect (SI = 12.46) was observed in the E-FeN@BC-PS system. Tetracycline (TC) was almost removed completely within 30 min in optimal operating parameters. Radical scavenging experiments showed that ·OH, SO4●−, O2●−, and 1O2 all contributed to TC degradation. The cyclic experiment and characterizations before and after the recycle showed that the FeN@BC in the three-dimensional electrode system exhibited excellent stability and reusability, and electricity had an obvious protective effect on the FeN@BC materials. This study revealed the synergistic catalytic mechanism of metal and heteroatomic hybrid materials as three-dimensional electrodes in persulfate activation, promising the development of sustainable and efficient water treatment technology.
Gravitational waves in the circular restricted three body problem
Authors: Martin Barandiaran Mikel , Kuroyanagi Sachiko , Nesseris Savvas 
Published: March 2024

Abstract
The prospect of unprecedented high-quality data of gravitational waves in the upcoming decades demands a theoretical effort to optimally study and analyze the signals that next generation detectors will provide. Here we study the gravitational wave emission and related dynamics during the inspiralling phase of the Circular Restricted Three Body Problem, a modification of the conventional binary scenario in which a small third object co-rotates with the parent binary system. Specifically, we obtain analytic expressions for the emitted power, frequency variation and other dynamical variables that describe the evolution of the system. As a key highlight, we find that the presence of the third body actually slows down the coalescence of the binary, which can be partially interpreted as an effective rescaling of the binary’s chirp-mass. Our analysis assumes semi-Keplerian orbits for the particles and a highly mass asymmetric parent binary needed for the stability of orbits.
Anomaly detection of wind turbine based on norm-linear-ConvNeXt-TCN
Authors: Chen Ning , Shao Changsheng , Wang Guangbin , Wang Qiang , Zhao Zihan , Liu Xinyao 
Published: March 2024

Abstract
The supervisory control and data acquisition (SCADA) system of wind turbines continuously collects a large amount of monitoring data during their operation. These data contain abundant information about the operating status of the turbine components. Utilizing this information makes it feasible to provide early warnings and predict the health status of the wind turbine. However, due to the strong coupling between the various components of the wind turbine, the data exhibits complex spatiotemporal relationships, multiple state parameters, strong non-linearity, and noise interference, which brings great difficulty to anomaly detection of the wind turbine. This paper proposes a new method for detecting abnormal operating conditions of wind turbines, based on a cleverly designed multi-layer linear residual module and the improved temporal convolutional network (TCN) with a new norm-linear-ConvNeXt architecture (NLC-TCN). Initially, the NLC-TCN deep learning reconstruction model is trained with historical data of normal behavior to extract the spatiotemporal features of state parameters under normal operational conditions. Subsequently, the condition score of the unit is determined by calculating the average normalized root mean square error between the reconstructed data and actual data. The streaming peaks-over-threshold real-time calculation of the anomaly warning threshold, based on extreme value theory, is then used for preliminary fault monitoring. Moreover, by shielding the fault alarm for low wind speeds and implementing a continuous delay perception mechanism, issues related to wind speed fluctuations and internal and external interference are addressed, enabling early warning for faulty units. Finally, the effectiveness and reliability of the proposed method are validated through comparative experiments using actual offshore wind farm SCADA data. The performance of the proposed method surpasses that of other compared methods. Additionally, the results of the proposed method were evaluated using the uniform manifold approximation and projection dimensionality reduction technique and kernel density estimation.
Temperature coefficient of resistance and thermal boundary conductance determination of ruthenium thin films by micro four-point probe
Authors: Beltrán-Pitarch Braulio , Guralnik Benny , Borup Kasper A , Adelmann Christoph , Hansen Ole , Pryds Nini , Petersen Dirch H 
Published: March 2024

Abstract
Accurate characterization of the temperature coefficient of resistance (α
TCR) of electrically conductive materials is pertinent for reducing self-heating in electronic devices. In-situ non-destructive measurements of α
TCR using the micro four-point probe (M4PP) technique have previously been demonstrated on platinum (Pt) thin films deposited on fused silica, assuming the thermal conductivity of the substrate as known. In this study, we expand the M4PP method to obtain the α
TCR on industrially relevant stacks, comprising ruthenium (Ru) thin films (3.3 nm and 5.2 nm thick) deposited on bulk silicon (Si), separated by a 90 nm SiO2 spacer. The new M4PP methodology allows simultaneous determination of both α
TCR and the total thermal boundary conductance (G
TBC) between the metallic film and its substrate. We measured the α
TCR and the G
TBC to be 542 ± 18 ppm K−1 and 15.6 ± 1.3 MW m−2K−1 for 3.3 nm Ru, and 982 ± 46 ppm K−1 and 19.3 ± 2.3 MW m−2K−1 for 5.2 nm Ru. This is in good agreement with independent measurements of α
TCR. Our methodology demonstrates the potential of M4PP to characterize thermal properties of metallic thin films used in semiconductor technology.
A study on the high power microwave effects of PIN diode limiter based on deep learning algorithm
Authors: Chen Huikai , Gao Wenze , Zhao Yinfen , Wang Shulong , Yan Xingyuan , Zhou Hao , Chen Shupeng , Liu Hongxia 
Published: March 2024

Abstract
PIN diodes, due to their simple structure and variable resistance characteristics under high-frequency high-power excitation, are often used in radar front-end as limiters to filter high power microwaves (HPM) to prevent its power from entering the internal circuit and causing damage. This paper carries out theoretical derivation and research on the HPM effects of PIN diodes, and then uses an optimized neural network algorithm to replace traditional physical modeling to calculate and predict two types of HPM limiting indicators of PIN diode limiters. We proposes a neural network model for each of the following two prediction scenarios: in the scenario of time-junction temperature curves under different HPM irradiation, the weighted mean squared error (MSE) between the predicted values from the test dataset and the simulated values is below 0.004. While in predicting PIN limiter’s power limitation threshold, insertion loss, and maximum isolation under different HPM irradiation, the MSE of the test set prediction values and simulation values are all less than 0.03. The method proposed in this research, which applies an optimized neural network algorithm to replace traditional physical modeling algorithms for studying the high-power microwave effects of PIN diode limiters, significantly improves the computational and simulation speed, reduces the calculation cost, and provides a new method for studying the high-power microwave effects of PIN diode limiters.
On electromagnetic turbulence and transport in STEP
Authors: Giacomin M , Kennedy D , Casson F J , C J Ajay , Dickinson D , Patel B S , Roach C M 
Published: March 2024

AbstractIn this work, we present first-of-their-kind nonlinear local gyrokinetic (GK) simulations of electromagnetic turbulence at mid-radius in the burning plasma phase of the conceptual high-β, reactor-scale, tight-aspect-ratio tokamak Spherical Tokamak for Energy Production (STEP). A prior linear analysis in Kennedyet al(2023Nucl. Fusion63126061) reveals the presence of unstable hybrid kinetic ballooning modes (KBMs), where inclusion of the compressional magnetic field fluctuation,δB∥, is crucial, and subdominant microtearing modes (MTMs) are found at binormal scales approaching the ion-Larmor radius. Local nonlinear GK simulations on the selected surface in the central core region suggest that hybrid KBMs can drive large turbulent transport, and that there is negligible turbulent transport from subdominant MTMs when hybrid KBMs are artificially suppressed (through the omission ofδB∥). Nonlinear simulations that include perpendicular equilibrium flow shear can saturate at lower fluxes that are more consistent with the available sources in STEP. This analysis suggests that hybrid KBMs could play an important role in setting the turbulent transport in STEP, and possible mechanisms to mitigate turbulent transport are discussed. Increasing the safety factor or the pressure gradient strongly reduces turbulent transport from hybrid KBMs in the cases considered here. Challenges of simulating electromagnetic turbulence in this high-βregime are highlighted. In particular the observation of radially extended turbulent structures in the absence of equilibrium flow shear motivates future advanced global GK simulations that includeδB∥.
Multi-scale recurrent transformer model for predicting KSTAR PF superconducting coil temperature
Authors: Kwon Giil , Lee Hyunjung 
Published: March 2024

Abstract
Superconducting coils play a critical role in a superconducting-based nuclear fusion device. As the temperature of superconducting magnets increases with a change in current, it is important to predict their temperature to prevent excessive temperature rise of coils and operate them efficiently. We present multi-scale recurrent transformer system, a deep learning model for forecasting the temperature of superconducting coils. Our system recurrently predicts future temperature data of the superconducting coil using the previous data obtained from a multi-scale Korea Superconducting Tokamak Advanced Research poloidal field coil dataset and latent data calculated from previous time step. We apply a multi-scale temperature downsampling approach in our model to effectively learn both the details and the overall structure of the temperature data. We demonstrate the effectiveness of our model through experiments and comparisons with existing models.
On viscoelastic blood in a locally narrow artery with magnetic field: application of distributed-order time fractional Maxwell model
Authors: Hu Yajing , Li Botong , Cao Chenguang 
Published: March 2024

Abstract

Purpose. The study of hemorheology of heterogeneous vessels is of importance for the therapy of cardiovascular diseases. The present paper aims to investigate the effects of the height parameter of the stenosis, the Reynolds number, the relaxation time and the Hartmann number on the blood flow by applying distributed order time fractional Maxwell model. Methodology. Distributed order time fractional Maxwell constitutive fluid model is used to simulate viscoelastic blood flowing in a narrowing blood vessel with uniform magnetic field. The continuity and momentum equations are established in two-dimensional cylindrical coordinate system for calculation. With vorticity-stream function method, the finite difference technique, combined with the fractional derivative

L
1

interpolation approximation, is utilized to obtain numerical solutions of velocity and wall shear stress. The effectiveness of the numerical method is verified. Outcomes. It reveals the choice of relaxation time in the governing equation has an influence on the results. The numerical results show that an appropriate increase of Reynolds number can reduce the possibility of vessel damage. Furthermore, when the height parameter of the stenosis increases, the damage to the vessel wall is getting serious. Besides, the wall shear stress along the blood vessel increases with the increase of the magnetic field, but the wall shear stress in the narrowest part of the blood vessel changes little.