bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multi-Year Tropical Pacific Cooling Response to Recent Australian Wildfires in CESM2
Authors: Fasullo John , Rosenbloom Nan , Buchholz Rebecca 
Published: August 2022

Abstract
The coupled climate response to biomass burning emissions from the 2019/20 Australian wildfire season is estimated from the contrast between two 30-member ensembles using CESM2 initialized in August 2019: one of which incorporates observed wildfire emissions while the other does not. In response to the fires, a widespread increase in biomass aerosol burdens is simulated in the southern hemisphere through late 2019 and early 2020. Accompanying the increase is an enhancement of cloud albedo, particularly in regions of widespread stratocumulus clouds in the southeastern subtropical Pacific Ocean. The increase in albedo acts to cool the surface, dry the boundary layer, and reduce the moist static energy of the advected low-level flow into the deep tropics. It also cools the ocean locally and the currents that flow into the deep tropics. In response, the Intertropical Convergence Zone is found to migrate northward and sea surface temperature in the Niño3.4 region cools. A subsequent multi-year ensemble-mean cooling of the tropical Pacific is simulated through the end of 2021, suggesting an important contribution to the ongoing strong La Niña event.
Anomalous optical response of graphene on hexagonal boron nitride substrates
Authors: Toksumakov Adilet , Ermolaev Georgy , Tatmyshevskiy Mikhail , Klishin Yuri , Slavich Alexander , Begichev Ilya , Stosic Dusen , Yakubovsky Dmitry , Kvashnin Dmitry , Vyshnevyy Andrey , Arsenin Aleksey , Volkov Valentyn , Ghazaryan Davit 
Published: August 2022

Abstract
Graphene/hBN heterostructures can be considered as one of the basic building blocks for the next- generation optoelectronics mostly owing to the record-high electron mobilities. However, currently the studies of optical properties of graphene are limited to the standard substrates (SiO2/Si, glass, quartz) despite the growing interest in graphene/hBN heterostructures. This can be attributed to a challenging task of the determination of hBN’s strongly anisotropic dielectric tensor in the total optical response. In this study, we overcome this issue through imaging spectroscopic ellipsometry utilizing simultaneous analysis of hBN’s optical response with and without graphene monolayers. Our technique allowed us to retrieve the optical constants of graphene from graphene/hBN heterostructure in a broad spectral range of 250 - 950 nm. Our results suggest that graphene’s absorption on hBN may exceed the one of graphene on SiO2/Si by about 60%.
Scheduling and Energy Savings for Small Scale Embedded FreeRTOS-based Real-Time Systems
Authors: Oliveira Gessé , Lima George 
Published: August 2022

Abstract
Evaluating the effectiveness of system scheduling and energy savings in embedded real-time systems with low computing resources is the problem addressed in this paper. In such systems, the characteristics of the implemented scheduling policy play a relevant role in both schedulability and energy consumption. Ideally, the scheduling policy should provide higher schedulability bounds and low runtime overheads, allowing for better usage of available slack in the schedule for energy saving purposes.
Due its low overhead and simple implementation, the usual scheduling policy employed in real-time embedded systems is based on fixed priority (FPS). Under this scheme, as the priority of all system tasks are assigned at design time, a simple priority vector suffices to indicate the current ready task to run. System schedulability, however, is usually lower than that provided by dynamic priority schedulers (DPS) according to which task priorities are assigned at runtime. Managing dynamic priority queues incurs higher overheads, though. Deciding whether DPS is a possible choice for such embedded requires careful evaluation.
We evaluate two implementations of Earliest-Deadline First (EDF), a classical DPS, implemented in FreeRTOS running on an ARM-M4 architecture. EDF is compared against an optimal FPS, namely Rate-Monotonic scheduling (RMS). Further, two mechanisms for energy savings are described. They differ by the manner they compute the slack available in an EDF schedule, statically (SS-EDF) or dynamically (DS-EDF). These two approaches are experimentally evaluated. Results indicate that EDF can be effectively used for energy savings.
Model Misspecification of Log-Normal and Birnbaum-Saunders Distributions
Authors: Basu Suparna , Kundu Debasis 
Published: August 2022

Abstract
Model misspecification can be a serious issue in any lifetime data analysis. Assumption of the correct model is very important particularly in prediction for future observations and for estimating the tail probabilities of any lifetime distribution. In this paper we have considered the model misspecification of the log-normal and Birnbaum-Saunders distributions. These two distributions have striking similarities both in terms of the probability density functions and hazard functions, in certain range of parameter values, which makes it extremely difficult to detect the correct model. Hence, to identify the correct model, first the conventional method of ratio of maximized likelihood approach has been tried. The necessary theoretical results have been derived. Based on extensive simulations it has been observed that for certain range of parameter values the model misspecification can be quite high even for very large sample sizes. Some of the other methods like the ratio of maximized product of spacings and minimized Kolmogorov-Smirnov distance, have also been explored. But none of the method performs uniformly better than the other over the entire range of the parameter space. Some counter intuitive results have also been obtained. Hence, we finally conclude that it is extremely difficult to choose the correct model in case of log-normal and Birnbaum-Saunders distribution for certain range of parameter values. Finally, we have suggested a modified ratio of maximized likelihood approach, and the performances are quite satisfactory.AMS Subject Classifications: 62F10, 62F03, 62H12.
Reduced order model-inspired system identification of geometrically nonlinear structures
Authors: Ahmadi M. Wasi , Hill Thomas L. , Jiang Jason Zheng , Neild Simon A. 
Published: August 2022

Abstract

In the field of structural dynamics, system identification usually refers to building mathematical models from an experimentally-obtained data set. To build reliable models using the measurement data, the mathematical model must be representative of the structure. In this work, attention is given to robust identification of nonlinear structures. We draw inspiration from reduced order modelling to determine a suitable model for the system identification. There are large similarities between reduced order modelling and system identification fields, i.e. both are used to replicate the dynamics of a system using a mathematical model with low complexity. Reduced Order Models (ROMs) can accurately capture the physics of a system with a low number of degrees of freedom; thus, in system identification, a model based on the form of a ROM is potentially more robust. Nonlinear system identification of a structure is presented, where inspiration is taken from a novel ROM to form the model. A finite-element model of the structure is built to simulate an experiment and the identification is performed. It is shown how the ROM-inspired model in the system identification improves the accuracy of the predicted response, in comparison to a standard nonlinear model. As the data is gathered from simulations, system identification is first demonstrated on the high fidelity data, then the fidelity of data is reduced to represent a more realistic experiment. A good response agreement is achieved when using the ROM-inspired model, which accounts for the kinetic energy of unmodelled modes. The estimated parameters of this model are also demonstrated to be more robust and rely on the underlying physics of the system.
Impact of Human Resource Management Reform in Public Hospital on Work Performance and Work-home Conflicts of Physicians in China
Authors: Han Liping , Wang Xiaoyu , Zhu Yimei , Wang Fang , Liang Jing , Ye Beizhu , Zhu Xi , Wang Zixin , Liang Yuan 
Published: August 2022

Abstract
Background Although China's hospital human resource reform started more than ten years ago, studies on its impact on physicians’ work and life are relatively few. This study used data from a national survey of physicians in China to explore the impact of two aspects of human resource reform measures (namely MOES and EPEW) with work performance and work-family conflicts among physicians. Methods We conducted a national cross-sectional survey in 77 public hospitals across seven provinces in China between July 2014 and April 2015, and 2785 physicians involved in this study. Work performance included work engagement, career attrition and patient-centered care. Work-family conflicts were composed of affecting care for family, feeling guilty towards family and receiving complaints from family.RESULTS Participants with MOES only account for 20.25%, those with EPEW only account for 10.36% and those with MOES & EPEW account for 4.35%. After adjusted for potential confounders, compared with those who had no experience of human resource reform measures, participants who had experiences of MOES & EPEW were more likely to report positive work performance (pride in work: aOR = 4.35, 95% CI :2.60–7.28; enjoyment of work: aOR = 4.46, 95% CI :2.71–7.35; turnover intention: aOR = 0.40, 95% CI :0.25–0.65; early retirement: aOR = 0.35, 95% CI: 0.21–0.58; exhaustion: aOR = 0.50, 95% CI :0.31–0.81) and negative work-family conflicts (feeling guilty towards family: aOR = 0.45, 95% CI :0.2810.73; receiving complaints from family: aOR = 0.52, 95% CI :0.32–0.85). Analysis stratified by age ≥35y and <35y showed that the human resource reform measures would have a higher effect on participants age ≥35y compared with those age <35y. CONCLUSIONS The differences stratified by age would reveal that salary system reform may need to be accelerated further and employment system reform may need to be appropriately slowed down, and accordingly, perfecting spiritual incentives measures would be needed to overcome the decline of their effect over time in the future.
Solvent-free and long-cycling garnet-based lithium-metal batteries
Authors: Yu Jiameng , Zhang Chang , Wu Cong , Wei Ran , Chen Shaojie , He Yingjie , Hu Qilin , Liu Wei 
Published: August 2022

Abstract
Solid-state batteries using ceramic solid electrolytes promise to deliver enhanced energy density and intrinsic safety. However, the challenge of integrating solid electrolytes with electrode materials limits the electrochemical performances. Herein, we report a solvent-free ceramic-based lithium-metal battery with excellent performances at a wide temperature range of 45 to 100°C, enabled by inorganic ternary salt of extreme-low eutectic point. By using garnet electrolyte with molten salts at the electrolyte|cathode interface, the Li||LiFePO4 cells perform a long cycling stably with capacity retention of 81.4% after 1000 cycles at 1 C. High-voltage LiFe0.4Mn0.6PO4 cathodes also deliver good electrochemical performance. Specifically, commercial electrode pieces with high area capacities can be adopted directly in the quasi-solid-state lithium-metal batteries. These superior performances are ascribable to the low melting point, high ionic conductivity and good thermal/electrochemical stability of the ternary salt system. Our findings provide an effective method on fabrication of solid-state batteries towards practical applications.
Preoperative Intrathecal Morphine is Associated with Reduced Postoperative Pain, Agitation, and Delirium in Living Donor Kidney Transplantation Recipients
Authors: Lee Ja Eun , Lee Kyo Won , Gil Eunmi , Park Jae Berm , Kim Byung Jun , Kim Gaab-Soo 
Published: August 2022

Abstract

Postoperative delirium after organ transplantation can lead to increased length of hospital stay and mortality. However, prevention of postoperative delirium is challenging for transplant recipients due to their frailty and metabolic derangements associated with end-stage organ failure. Postoperative pain is an important risk factor for postoperative delirium, and pain management with intrathecal morphine (ITM) may mitigate postoperative delirium development. We evaluated if ITM reduces postoperative delirium incidence in living donor kidney transplant (LDKT) recipients. In this retrospective study, 296 patients who received LDKT between 2014 and 2018 at our university hospital were analyzed. Recipients who received preoperative ITM (ITM group) were compared to those who did not (control group). The primary outcome was postoperative delirium incidence based on Confusion Assessment Method for Intensive Care Unit results during the first four postoperative days. Delirium occurred in 2.6% (4/154) and 7.0% (10/142) of ITM and control groups, respectively. Multivariable analysis showed age (OR: 1.07, 95% CI: 1.01–1.14; P = 0.031), recent smoking (OR: 7.87, 95% CI: 1.43–43.31; P = 0.018), preoperative psychotropics (OR: 23.01, 95% CI: 3.22-164.66; P = 0.002) were risk factors of postoperative delirium while ITM was a protective factor (OR: 0.23, 95% CI: 0.06–0.89; P = 0.033). Preoperative ITM was independently associated with reduced post-LDKT delirium. This analgesic technique may be part of postoperative delirium prevention strategy in LDKT recipients.
A nomogram for predicting sclerotherapy response for treatment of lymphatic malformations in children
Authors: Wu Zhiping , Zou Yun , Fu Ronghua , Jing PingLiang , Yuan Hua 
Published: August 2022

Abstract
Purpose In this manuscript, we purposed to identify the prognostic factors for treatment of lymphatic malformations in children using polidocanol foam combined with pingyangmycin and to construct nomogram for predicting sclerotherapy response.Methods A retrospective analysis of 77 children having LMs underwent sclerotherapy using polidocanol foam combined with pingyangmycin under ultrasound display from January 2017 to April 2020 was done. The clinical response was graded as excellent (≥90%), good (≥50%, <90%), and poor (<50%). More than 50% was considered as acceptable response. Prognostic factors were identified by Pearson’s chi-square or Fisher’s exact test and multivariable logistic regression model was used to construct a nomogram to predict sclerotherapy response. The discrimination and calibration of nomogram were verified through the receiver operating characteristic cure and calibration plots.Results The mean number of treatment sessions was 3.1 (range, 1-6). Among 77 patients, 58 patients (75.3%) had excellent response to treatment (≥90%) and 68 patients (88.3%) had an acceptable response (≥50%, <90%). Clinical disfigurement (P = 0.014), skin discoloration (P = 0.040), morphological subtype (P < 0.001) and extent of the lesion (P < 0.001) correlated with clinical response to sclerotherapy in LMs. Sclerotherapy response was predicted through nomogram constructed in this study, which shows good calibration and discrimination. Also, focal lesion and macrocystic or mixed morphological subtype lesion were seen more often in lower number of treatment sessions among the patients with excellent response.Conclusions Acceptable response to sclerotherapy using polidocanol foam combined with pingyangmycin was achieved in majority of LMs in children with extremely low complication rates. Nomogram basing on the prognostic factors of sclerotherapy response for LMs in children was showed to possess an excellent performance to predicate the probability of LMs sclerotherapy response.
Welding Penetration and Mechanical Properties of Welded Joints of V-shaped Surface Grooves
Authors: Feng Meiyan , Weng Huajing , Yao Mingpu , Jiang Jibin , Chen Changrong , Lian Guofu 
Published: August 2022

Abstract
The work focused on the forming quality of surface-groove backing welds of gas metal arc welding (GMAW). The Box-Behnken design in response surface methodology (RSM) was used to explore the effects of welding voltages, welding currents, welding speeds, and surface radians on the properties of welded joints. The mathematical model was established among process parameters and response indices of welded joints. Experimental results showed that the unmelted gap decreased with the increased welding voltage, welding current, welding speed, and surface radian. Tensile strength increased with the increased welding voltage and welding speed and decreased after increasing with the increased surface radian. Elongation first increased and then decreased with the increased welding voltage, welding speed, and surface radian. Optimal process parameters were obtained by minimizing the unmelted gap and maximizing the tensile strength and elongation: welding voltage = 32 V; welding current = 224 A; welding speed = 32 cm/min; surface radian = 14/36π rad. The errors of the unmelted gap, tensile strength, and elongation were 1.71%, 5.69%, and 1.27%, respectively, by comparing the predicted and actual values. Research results have essential theoretic guidance for improving the penetration and mechanical properties of complex surface grooves welded joints.
Functional diagnosability of possibly uncertain systems through functional linear independence
Authors: Jauberthie Carine , Verdière Nathalie , Travé-Massuyès Louise 
Published: August 2022

Abstract
This paper resumes functional diagnosability of nonlinear dynamical systems as introduced in [1] and its extension to the set-membership framework named Set-Membership Functional Diagnosability [2]. This latter concept assumes that the magnitudes of the faults are unknown but belong to bounded sets. The two properties are based on the notion of functional signature formed of a functional residual vector. Contrary to conventional analyses of diagnosability, functional diagnosability analyses the behavior of the residuals in time for different faults are acting on the system. In [1], it was shown that identifiability of the model with respect to the faults is a sufficient condition for diagnosability. The same is true in the set-membership framework [2]. In this paper, we provide a much simpler sufficient condition that relies on functional linear independence [3] of the functional signatures. This result is illustrated with two examples through numerical simulations.
Learning curve of robot-assisted total knee arthroplasty and its effects on implant position in Asian patients: A prospective study
Authors: Jung Ho Jung , Kang Min Wook , Lee Jong Hwa , Kim Joong Il 
Published: August 2022

Abstract
Background
Robot-assisted total knee arthroplasty (r-TKA) can reportedly achieve a more accurate implant position than conventional total knee arthroplasty (c-TKA), although its learning curve is controversial. Moreover, there are few studies on Asians with different anatomical characteristics. This study aimed to determine the learning curve for r-TKA and compare implant positions between r-TKA and c-TKA according to the learning curve in Asian patients.
Methods
This prospective study included 50 consecutive c-TKAs (C group), followed by 50 consecutive r-TKAs using the MAKO robotic system (Stryker, USA). Cumulative summation analyses were performed to assess the learning curve for operative time in r-TKAs. Accordingly, the r-TKA cases were divided into initial cases (I group) and proficiency cases (P group). Femoral and tibial component positions in the coronal, sagittal, and axial planes and lower limb alignment were compared among all groups.
Results
r-TKA was associated with a learning curve for operative time in 18 cases. Operative time was significantly shorter in the C and P groups than in the I group, with no significant difference between the C and P groups. The I and P groups demonstrated fewer outliers regarding lower limb alignment, femoral component coronal position, axial position, and tibial component sagittal position than the C group, with no significant difference between C and P groups.
Conclusion
Operative time was not significantly different between r-TKA and c-TKA after the learning curve. Surgeons could expect more accurate and reproducible lower limb alignment and implant position with r-TKA in Asian patients regardless of the learning curve.
Preparation of Protoplasts from Populus (Populus × xiaohei T. S. Hwang et Liang) and Establishment of Transient Expression System
Authors: Yang Chengjun , Wang Kai , Li Jinbo , Liu Guanjun , Xu Zhiru 
Published: August 2022

Abstract
Poplar, as a typical woody plant, is an ideal raw material for the production of lignocellulose biofuel. However, the longer life cycle is not conducive to the rapid identification of poplar genes. At present, many model plants have used protoplasts for gene function identification and high-throughput analysis. In this paper, a simplified and efficient protoplast isolation and transient expression system of Populus (Populus × xiaohei T. S. Hwang et Liang) is described. Firstly, we proposed an efficient enzyme hydrolysis method for isolating protoplasts from leaves of Populus × xiaohei. Secondly, we further optimized the conditions of protoplast transformation mediated by PEG, and established an efficient transient expression system of protoplasts of Populus × xiaohei. Finally, the subcellular localization of three identified Dof transcription factors (PnDof19,PnDof20 and PnDof30) was also observed in the nucleus by using this scheme, which proved that the method was feasible. In general, this efficient method of protoplast isolation and transformation can be used for the study of protein subcellular localization and can be applied to other fields of molecular biology, such as protein interaction, gene activation and so on.
A risk model including eight tumor microenvironment-related genes for prediction of lung cancer prognosis
Authors: Wei Ming , Li Mengyun , Li Chenwei , Zhang Xu , Ma Hengde , Du Xiaohui , Wang Qi , Zhao Hui 
Published: August 2022

Abstract

Background
The tumor microenvironment (TME) plays a crucial role in lung cancer development and outcome. In this study, we constructed a novel risk model using TME-related genes to predict the prognosis of lung adenocarcinoma (LUAD).
Methods
TME-related genes were collected from the literature, and the LUAD transcriptome profile and clinical characteristics from patients were retrieved from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) as the training and validation cohorts, respectively. In the training cohort, K-mean Cluster and Kaplan–Meier curve analyses were performed to examine the association of the TME-related genes with LUAD, while univariate Cox regression and LASSO Cox regression analyses assessed the key genes to construct a predictive risk model for LUAD prognosis. This risk model was then confirmed in the validation cohort using Kaplan–Meier and receiver-operating characteristic (ROC) curve analyses and then compared with other models and LUAD TNM stage. The interaction of this predictive risk model of genes with immune-related genes was also assessed using CIBERSORT, TIMER, and GEPIA.
Results
After screening 760 TME-related genes, we established a risk model containing ANGPTL4, FUT4, CDC25C, FLNC, KRT6A, NEIL3, HS3ST2, and DAAM2 that independently predicted LUAD prognosis in TCGA data. ROC curve and C-index confirmed the usefulness of this risk model, and a nomogram that integrated this predictive risk model with age and TNM stages was more effective in predicting LUAD prognosis. The risk model was further confirmed using GEO data. Furthermore, the risk model of genes interacted with 11 types of immune cells and three immune checkpoint molecules (LAG3, PDL1 and TDO2) in LUAD.
Conclusion
We constructed a predictive risk model and a nomogram that integrated the predictive risk model with age and TNM stage to predict LUAD prognosis. This predictive risk model of genes could interact with immune checkpoint genes. Future studies are required to validate these data.