bluuebunny/crossref_metadata_2025_split huggingface dataset:
AFM probe with the U-shaped cross-sectional cantilever for measuring the ultra-low coefficient of friction of 10−6
Authors: Chen Yushan , Jiang Liang , Qian Linmao 
Published: February 2024

AbstractAccurately measuring the coefficient of friction (COF) is the fundamental prerequisite of superlubricity research. This study aimed to reduce the COF measurement resolution Δμof atomic force microscopy (AFM). Based on the theoretical model, a distinctive strategy was adopted to reduce Δμby optimizing the cantilever’s cross-section of the AFM probe, inspired by civil engineering. Δμcan be reduced by decreasing the width of the horizontal sidewRand the wall thicknesstand increasing the width of the vertical sidewH. Moreover, the I-shape demonstrates the highest reduction in Δμ, followed by the U-shape. Considering the processability, the AFM probe with the U-shaped cross-sectional cantilever was investigated further, and the dimensions are 35 µmwR, 3.5 µmwH, 0.5 µmt, 50 µml(cantilever length), and 23 µmhtip(tip height). The finite element analysis results confirm its reliability. After being fabricated and calibrated, the AFM probe achieves the minimal Δμof 1.9×10−6under the maximum normal force so far. Additionally, the friction detection capability of the fabricated AFM probe improves by 78 times compared to the commercial tipless-force modulation mode (TL-FM) AFM probe with the conventional solid rectangular cross-sectional cantilever. This study provides a powerful tool for measuring 10−6COF.
Sound-Based Depth Estimation of Glass Microchannel in Laser-Induced Backside Wet Etching Using Wavelet Transform
Authors: Kim Geun Young , Song Dae-Seob , Kwon Kui-Kam , Ahn Sung-Hoon 
Published: February 2024

AbstractLaser-induced backside wet etching (LIBWE) has been proposed to fabricate high-quality micromachined components on transparent materials. However, the process is limited by poor repeatability when fabricating high-aspect-ratio structures, even under the same conditions due to uncertainties arising from the thermal process and the complex mechanisms associated with the indirect irradiation of the etching process. Such errors could lead to redundant trials and wastages when trying to achieve the desired dimension. To identify the factors causing these variations, we targeted the process sounds generated during the etching. This study uses a microphone to measure factors that result in variations in material removal quantity during the etching process under the same conditions. The sound was filtered at frequencies between 3 and 6 kHz, which were selected as characteristic frequencies for the process under various laser conditions. By integrating the root mean squared value of the detail coefficient of the wavelet transform, the depth estimation closely matched the measured depth of the fabricated part. This finding suggests that determining the etching rate from sound at a certain characteristic frequency during the LIBWE process is feasible; this approach can improve the accuracy and repeatability of the process. Based on this estimation mechanism, we designed a closed-loop feedback control system capable of fabricating highly accurate microchannels in the range of 80–120 μm with a maximum error of 5.6%.
A multiscale framework for the evaluation of thermal conductivity of sintered powder at the powder bed fusion with electron beam conditions
Authors: Rizza Giovanni , Galati Manuela , Iuliano Luca 
Published: February 2024

AbstractThe thermal conductivity of the powder bed during the electron beam powder bed fusion (PBF-EB) process strongly influences the process conduction and the quality of the components produced. The evaluation of this property is challenging. The models currently available in the literature cannot provide values of the thermal conductivity that consider the temperature evolution typical of the preheating step. This work presents a novel computational framework to evaluate the thermal conductivity of a powder bed for the PBF-EB process. The framework combines the thermal conditions of the PBF-EB process with information on the geometrical features of the powder bed and an analytic method to calculate the thermal conductivity and its variation with temperature and time. The proposed numerical framework is applied to the body centred structure (BCC), a typical arrangement that can emulate the PBF-EB conditions. The numerical framework is multiscale by nature, providing information about the whole powder bed starting from geometrical information about the neck among the powder particles.
A high-order target phase approach for the station-keeping of periodic orbits
Authors: Fu Xiaoyu , Baresi Nicola , Armellin Roberto 
Published: February 2024

AbstractA novel high-order target phase approach (TPhA) for the station-keeping of periodic orbits is proposed in this work. The key elements of the TPhA method, the phase-angle Poincare map and high-order maneuver map, are constructed using differential algebra (DA) techniques to determine station-keeping epochs and calculate correction maneuvers. A stochastic optimization framework tailored for the TPhA-based station-keeping process is leveraged to search for fuel-optimal and error-robust TPhA parameters. Quasi-satellite orbits (QSOs) around Phobos are investigated to demonstrate the efficacy of TPhA in mutli-fidelity dynamical models. Monte Carlo simulations demonstrated that the baseline QSO of JAXA’s Martian Moons eXploration (MMX) mission could be maintained with a monthly maneuver budget of approximately 1 m/s.
Characterization of Gauss–Markov stochastic sequences for mission analysis
Authors: Giordano Carmine 
Published: February 2024

AbstractIn real scenarios, the spacecraft deviates from the intended paths owing to uncertainties in dynamics, navigation, and command actuation. Accurately quantifying these uncertainties is crucial for assessing the observability, collision risks, and mission viability. This issue is further magnified for CubeSats because they have limited control authority and thus require accurate dispersion estimates to avoid rejecting viable trajectories or selecting unviable ones. Trajectory uncertainties arise from random variables (e.g., measurement errors and drag coefficients) and processes (e.g., solar radiation pressure and low-thrust acceleration). Although random variables generally present minimal computational complexity, handling stochastic processes can be challenging because of their noisy dynamics. Nonetheless, accurately modeling these processes is essential, as they significantly influence the uncertain propagation of space trajectories, and an inadequate representation can result in either underestimation or overestimation of the stochastic characteristics associated with a given trajectory. This study addresses the gap in characterizing process uncertainties, represented as Gauss–Markov processes in mission analysis, by presenting models, evaluating derived quantities, and providing results on the impact of spacecraft trajectories. This study emphasizes the importance of accurately modeling random processes to properly characterize stochastic spacecraft paths.
Sex related difference in postoperative pain and opioid use following posterior spinal fusion for adolescent idiopathic scoliosis
Authors: Collis Reid W. , Dry Tonia , Chan Gilbert , Lim Poh , Oswald Timothy 
Published: February 2024

Abstract
Purpose
This project aims to evaluate the relationship between biological sex and postoperative pain and in patients receiving posterior spinal fusion for adolescent idiopathic scoliosis.

Methods
This is a retrospective study of patients (n=137) aged 10-17 receiving posterior spinal fusion for adolescent idiopathic scoliosis between 01/2018 and 09/2022. Each patient received surgery by the same pediatric orthopedic surgeon with identical postoperative pain management regimen at a children’s hospital or a tertiary referral center with a pediatric spine program.

Results
There were no significant differences in any background characteristics between the male and female patients, including age, BMI, number of levels fused, preoperative degree of scoliosis, and length of surgery and anesthesia (p>0.05). There were no differences in amount given of any intraoperative medications, nor in amount of postoperative scheduled analgesics (p>0.05). Female patients demonstrated higher average pain scores on Visual Analogue Scale evaluations during the first 24 hours postoperatively (5.0 vs 3.6, p<0.0001), 24-48 hours postoperatively (4.9 vs 4.0, p=0.03), and at the first physical therapy evaluation (5.3 vs 3.8, p<0.001). These patients received significantly greater amounts of morphine milligram equivalents in the first 24 hours postoperatively (42.2 vs 31.5, p=0.01) and for the hospitalization in total (63.8 vs 51.3, p=0.048). There was no difference in hours until hospital discharge (44.3 vs 42.6, p=0.62) nor until first ambulation (20.1 vs 21.3, p=0.24) between the female and male patients.

Conclusion
The influence of biopsychosocial factors on postoperative pain in adolescents is complex. This study adds to the existing pool of literature suggesting differences in pain perception between adolescent female and male patients. Female patients undergoing posterior spinal fusion for adolescent idiopathic scoliosis may benefit from increased preoperative counseling and more aggressive intra- and postoperative pain management regimens.
Compact mid-infrared dual-comb spectrometer over 3–4 μm via intra-pulse difference frequency generation in LiNbO3 waveguides
Authors: Zhou Lian , Lou Haipeng , Deng Zejiang , Qin Xiong , Pan Jiayi , Di Yuanfeng , Gu Chenglin , Luo Daping , Li Wenxue 
Published: February 2024

Abstract
The mid-infrared optical frequency comb is a powerful tool for gas sensing. In this study, we demonstrate a simple mid-infrared dual-comb spectrometer covering 3–4 μm in LiNbO3 waveguides. Based on a low-power fiber laser system, the mid-infrared comb is achieved via intra-pulse difference frequency generation in the LiNbO3 waveguide. We construct pre-chirp management before supercontinuum generation to control spatiotemporal alignment for pump and signal pulses. The supercontinuum is directly coupled into a chirped periodically poled LiNbO3 waveguide for the 3–4 μm idler generation. A mid-infrared dual-comb spectrometer based on this approach provides a 100 MHz resolution over 25 THz coverage. To evaluate the applicability for spectroscopy, we measure the methane spectrum using the dual-comb spectrometer. The measured results are consistent with the HITRAN database, in which the root mean square of the residual is 3.2%. This proposed method is expected to develop integrated and robust mid-infrared dual-comb spectrometers on chip for sensing.
An Epistemic Injustice Critique of Austin's Ordinary Language Epistemology
Authors: Pearlman Savannah 
Published: February 2024

AbstractJ. L. Austin argues that ordinary language should be used to identify when it is appropriate or inappropriate to make, accept, or reject knowledge claims. I criticize Austin's account. In our ordinary life, we often accept justifications rooted in racism, sexism, ableism, and classism as reasons to dismiss knowledge claims or challenges, despite the fact such reasons are not good reasons. Austin's Ordinary Language Epistemology (OLE) inadvertently classifies the discounting of knowledge claims in classic cases of epistemic injustice as legitimate ordinary maneuvers. I provide recommendations for revision of OLE and offer a means of distinguishing between dismissals in cases of epistemic injustice and their legitimate counterparts.
Antibiotic prescribing for acute respiratory infections during the coronavirus disease 2019 (COVID-19) pandemic: Patterns in a nationwide telehealth service provider
Authors: Linder Jeffrey A. , Persell Stephen D. , Kelley Marcella A. , Friedberg Mark , Goldstein Noah J. , Knight Tara K. , Kaiser Katrina M. , Doctor Jason N. , Mack Wendy J. , Tibbels Jason , McCabe Bridget , Haenchen Steve , Meeker Daniella 
Published: February 2024

AbstractWe examined 3,046,538 acute respiratory infection (ARI) encounters with 6,103 national telehealth physicians from January 2019 to October 2021. The antibiotic prescribing rates were 44% for all ARIs; 46% were antibiotic appropriate; 65% were potentially appropriate; 19% resulted from inappropriate diagnoses; and 10% were related to coronavirus disease 2019 (COVID-19) diagnosis.
Recovering Classical Indigenous Philosophy
Authors: Wilkinson Eric 
Published: February 2024

AbstractIndigenous philosophy from the 17th century and earlier is often thought to be irretrievable because of a lack of extant works. There are at least two reasons that this view is mistaken. First, it overlooks the role oral traditions play in preserving the thought of Indigenous peoples. Second, some Indigenous thinkers had their philosophical views recorded by European interlocutors shortly after contact. With these sources, the same techniques used to recover the views of philosophers like Prodicus, whose works are lost, can be applied to Indigenous thinkers. By reconstructing the philosophy of Kondiaronk, I show how this can be done.
Deux enjeux philosophiques entourant la structure des recommandations issues du secteur public
Authors: Daoust Marc-Kevin , Babin Victor 
Published: February 2024

RésuméL'une des fonctions des institutions publiques des démocraties libérales est de formuler des recommandations à l'attention des décideurs. Or, les institutions publiques savent que leurs recommandations seront souvent ignorées en partie par le décideur. Cette situation de « conformité partielle » aux recommandations soulève plusieurs problèmes de nature philosophique pour les institutions. En nous appuyant sur une analyse de 570 recommandations tirées de 40 documents et rapports du secteur public québécois, nous identifions deux enjeux entourant la structure des recommandations issues du secteur public.
Estimating Stock Market Betas via Machine Learning
Authors: Drobetz Wolfgang , Hollstein Fabian , Otto Tizian , Prokopczuk Marcel 
Published: February 2024

Abstract
Machine learning-based stock market beta estimators outperform established benchmark models both statistically and economically. Analyzing the predictability of time-varying market betas of U.S. stocks, we document that machine learning-based estimators produce the lowest forecast and hedging errors. They also help to create better market-neutral anomaly strategies and minimum variance portfolios. Among the various techniques, random forests perform the best overall. Model complexity is highly time-varying. Historical stock market betas, turnover, and size are the most important predictors. Compared to linear regressions, allowing for nonlinearity and interactions significantly improves predictive performance.
Evaluating clinical decision support software (CDSS): challenges for robust evidence generation
Authors: Laka Mah , Carter Drew , Merlin Tracy 
Published: February 2024

Abstract

Objectives
Computerized clinical decision support software (CDSS) are digital health technologies that have been traditionally categorized as medical devices. However, the evaluation frameworks for traditional medical devices are not well adapted to assess the value and safety of CDSS. In this study, we identified a range of challenges associated with CDSS evaluation as a medical device and investigated whether and how CDSS are evaluated in Australia.

Methods
Using a qualitative approach, we interviewed 11 professionals involved in the implementation and evaluation of digital health technologies at national and regional levels. Data were thematically analyzed using both data-driven (inductive) and theory-based (deductive) approaches.

Results
Our results suggest that current CDSS evaluations have an overly narrow perspective on the risks and benefits of CDSS due to an inability to capture the impact of the technology on the sociotechnical environment. By adopting a static view of the CDSS, these evaluation frameworks are unable to discern how rapidly evolving technologies and a dynamic clinical environment can impact CDSS performance. After software upgrades, CDSS can transition from providing information to specifying diagnoses and treatments. Therefore, it is not clear how CDSS can be monitored continuously when changes in the software can directly affect patient safety.

Conclusion
Our findings emphasize the importance of taking a living health technology assessment approach to the evaluation of digital health technologies that evolve rapidly. There is a role for observational (real-world) evidence to understand the impact of changes to the technology and the sociotechnical environment on CDSS performance.
Administrative Litigation in China: Assessing the Chief Officials’ Appearance System
Authors: Chen Tianhao , Xu Wei , Yu Xiaohong 
Published: February 2024

AbstractThe Chief Officials’ Appearance System (COAS), introduced in 2015, requires government leaders to appear in court and explain their actions. Unlike other post-2014 legal reforms aimed at reducing political influence in administrative litigation, the COAS uniquely actively involves political officials. This approach is based on the belief that increased participation will help officials to gain a better understanding of public concerns and improve administrative litigation quality. However, few studies have examined the system's effectiveness, and existing research relies on anecdotal evidence with limited analysis. To address this gap, we conducted a systematic empirical inquiry using 1,551 administrative litigation cases filed in a Beijing local court and extensive field research in 12 other provinces. Contrary to official expectations, we found the system reproduced the administrative grievances it was tasked with resolving. Moreover, when chief officials appear in court, administrative litigation is characterized by a renewed triad of apathetic state agencies, increasingly agitated plaintiffs and strategically empowered courts.
“But I Have a Pacer…There Is No Point in Engaging in Hypothetical Scenarios”: A Non-Imminently Dying Patient’s Request for Pacemaker Deactivation
Authors: Tracy Bridget A. , Rhodes Rosamond , Goldstein Nathan E. 
Published: February 2024

Abstract
In this case report, we describe a woman with advancing dementia who still retained decisional capacity and was able to clearly articulate her request for deactivation of her implanted cardiac pacemaker—a scenario that would result in her death. In this case, the patient had the autonomy to make her decision, but clinicians at an outside hospital refused to deactivate her pacemaker even though they were in unanimous agreement that the patient had capacity to make this decision, citing personal discomfort and a belief that her decision seemed out of proportion to her suffering. We evaluated her at our hospital, found her to have decision-making capacity, and deactivated her pacer resulting in her death about 9 days later. While some clinicians may be comfortable discussing patient preferences for device deactivation in patients who are imminently dying, we can find no reports in the literature of requests for device deactivation from patients with terminal diagnoses who are not imminently dying.
Using High-Fidelity Virtual Reality for Mass-Casualty Incident Training by First Responders – A Systematic Review of the Literature
Authors: Heldring Sara , Jirwe Maria , Wihlborg Jonas , Berg Lukas , Lindström Veronica 
Published: February 2024

AbstractIntroduction:First responders’ training and learning regarding how to handle a mass-casualty incident (MCI) is traditionally based on reading and/or training through computer-based scenarios, or sometimes through live simulations with actors. First responders should practice in realistic environments to narrow the theory-practice gap, and the possibility of repeating the training is important for learning. High-fidelity virtual reality (VR) is a promising tool to use for realistic and repeatable simulation training, but it needs to be further evaluated. The aim of this literature review was to provide a comprehensive description of the use of high-fidelity VR for MCI training by first responders.Methods:A systematic integrative literature review was used according to Whittemore and Knafl’s descriptions. Databases investigated were PubMed, CINAHL Complete, Academic Search Ultimate, Web of Science, and ERIC to find papers addressing the targeted outcome. The electronic search strategy identified 797 potential studies. Seventeen studies were deemed eligible for final inclusion.Results:Training with VR enables repetition in a way not possible with live simulation, and the realism is similar, yet not as stressful. Virtual reality offers a cost-effective and safe learning environment. The usability of VR depends on the level of immersion, the technology being error-free, and the ease of use.Conclusions:This integrative review shows that high-fidelity VR training should not rule out live simulation, but rather serve as a complement. First responders became more confident and prepared for real-life MCIs after training with high-fidelity VR, but efforts should be made to solve the technical issues found in this review to further improve the usability.
Health Impacts of Future Prescribed Fire Smoke: Considerations From an Exposure Scenario in California
Authors: Rosenberg Andrew , Hoshiko Sumi , Buckman Joseph R. , Yeomans Kirstin R. , Hayashi Thomas , Kramer Samantha J. , Huang ShihMing , French Nancy H. F. , Rappold Ana G. 
Published: February 2024

AbstractIn response to increasing wildfire risks, California plans to expand the use of prescribed fire. We characterized the anticipated change in health impacts from exposure to smoke under a future fire‐management scenario relative to a historical period (2008–2016). Using dispersion models, we estimated daily fine particulate matter (PM2.5) emissions from hypothetical future prescribed fires on 500,000‐acres classified as high priority. To evaluate health impacts, we calculated excess daily cardiorespiratory emergency department visit rates attributed to all‐source PM2.5, distinguishing the portion of the burden attributed to prescribed fire. The total burden was differentiated by fire type and by smoke strata‐specific days to calculate strata‐specific burden rates, which were then applied to estimate the burden in the future scenario. This analysis suggests that the exposure to prescribed fire smoke, measured as the number of persons exposed per year, would be 15 times greater in the future. However, these exposures were associated with lower concentrations compared to the historical period. The increased number of exposure days led to an overall increase in the future health burden. Specifically, the northern, central, and southern regions experienced the largest burden increase. This study introduces an approach that integrates spatiotemporal exposure differences, baseline morbidity, and population size to assess the impacts of prescribed fire under a future scenario. The findings highlight the need to consider both the level and frequency of exposure to guide strategies to safeguard public health as well as aid forest management agencies in making informed decisions to protect communities while mitigating wildfire risks.