bluuebunny/crossref_metadata_2025_split huggingface dataset:
Steroid administration for post‐COVID‐19 Parkinsonism: A case report
Authors: Mitarnun Witoon , Apiwattanakul Metha , Thodthasri Thanatchanan , Tantisungvarakoon Praewa , Pangwong Wilasinee 
Published: October 2022

AbstractA 45‐year‐old man developed parkinsonism 3 weeks after being diagnosed with mild COVID‐19. Levodopa and benserazide failed to improve his symptoms, necessitating ropinirole, and steroid treatment, which included a 5‐day course of methylprednisolone followed by a 3‐month oral prednisolone taper. One month after initiating steroid treatment, his symptoms improved significantly.
Membrane component ergosterol builds a platform for promoting effector secretion and virulence in Magnaporthe oryzae
Authors: Guo Ziqian , Liu Xinyu , Wang Nian , Mo Pengcheng , Shen Ju , Liu Muxing , Zhang Haifeng , Wang Ping , Zhang Zhengguang 
Published: October 2022

Summary

The plasma membrane (PM) functions as a physical border between the extracellular and cytoplasmic environments that contribute to the interaction between host plants and pathogenic fungi. As a specific sterol constituent in the cell membrane, ergosterol plays a significant role in fungal development.

However, the role of ergosterol in the infection of the rice blast fungus Magnaporthe oryzae remains unclear. In this study, we found that a sterol reductase, MoErg4, is involved in ergosterol biosynthesis and the regulation of plasma membrane integrity in M. oryzae.

We found that defects in ergosterol biosynthesis disrupt lipid raft formation in the PM and cause an abnormal distribution of the t‐soluble N‐ethylmaleimide‐sensitive factor attachment protein receptor (SNARE) protein MoSso1, inhibiting its interaction with the v‐SNARE protein MoSnc1. In addition, we found that MoSso1–MoSnc1 interaction is important for biotrophic interface complex development and cytoplasmic effector protein secretion.

Our findings suggested that ergosterol‐enriched lipid rafts constitute a platform for interactions among various SNARE proteins that are required for the development and pathogenicity of M. oryzae.
Postoperative complications following orthognathic surgery in patients with rheumatic diseases: A 2‐year follow‐up study
Authors: Li Jiqing , Shujaat Sohaib , Ver Berne Jonas , Shaheen Eman , Coucke Wim , Politis Constantinus , Jacobs Reinhilde 
Published: October 2022

AbstractObjectiveThe purpose of this study was to describe the complications following orthognathic surgery in patients with rheumatic diseases and to evaluate rheumatic disease as a possible risk factor.MethodsA retrospective cohort study was conducted during a 6‐year period. The sample consisted of rheumatic and healthy patients who underwent orthognathic surgery. The outcome variables included infection, relapse, respiratory complications, hemorrhage, neurosensory disturbances, temporomandibular joint complications, and removal of osteosynthesis material. Bivariate analysis and logistic regression were applied to identify rheumatic disease as an independent risk factor for complications after orthognathic surgery.ResultsTwenty patients were identified as having rheumatic diseases (male: 2; female: 18; mean age: 37.8 ± 13.6 years), and 278 patients were systemically healthy (male: 105; female: 173; mean age: 25.8 ± 11.8 years). The most frequent complications in rheumatic and healthy patients were delayed recovery from neurosensory disturbance (55% and 33%), removal of osteosynthesis material (45% and 26%), and infection (35% and 7%). Following adjustment for possible confounders, rheumatic disease showed a significant association with infection (OR = 4.191, p = 0.016).ConclusionPatients with rheumatic diseases are at a higher risk of postoperative infection following orthognathic surgery compared to healthy patients.
Gabapentin—Friend or foe?
Authors: Russo Marc , Graham Brett , Santarelli Danielle M. 
Published: October 2022

AbstractBackgroundGabapentin is a recommended first‐line agent for treating neuropathic pain; however, its efficacy rate is reportedly low, and the risk of adverse events is high. A plausible explanation for this lies with its wide range of actions, the entirety of which have yet to be fully elucidated.MethodsA review of the literature was conducted on gabapentin's known and proposed analgesic mechanisms of action, as well as potentially opposing or detrimental actions.ResultsGabapentin's classical analgesic mechanisms involve direct attenuation of excitatory neurotransmission in the spinal cord via inhibition of neuronal ion channels, while indirect mechanisms include descending inhibition and block of injury‐evoked synaptogenesis. Glial effects have also been reported; however, whether they are neuroprotective or detrimental is unknown. Furthermore, data from animal models do not reflect clinical outcomes.ConclusionsGabapentin's clinical use should be reconsidered according to the net effects of its numerous assumed actions, including the tripartite synapse and oligodendrocyte effects. Whether it is doing more harm than good, especially in the scenarios of incomplete or loss of response, warrants consideration when prescribing gabapentin.
Aged versus fresh autologous platelet transfusion in a two‐hit healthy volunteer model of transfusion‐related acute lung injury
Authors: van Baarle Floor L. F. , de Bruin Sanne , Bulle Esther B. , van Mourik Niels , Lim Endry H. T. , Tuip‐de Boer Anita M. , Bongers Annabel , de Wissel Marit B. , van Bruggen Robin , de Korte Dirk , Vermeulen Christie , Tan Khik Wie , Jonkers René E. , Bonta Peter I. , Lutter René , Dekker Tamara , Dierdorp Barbara S. , Peters Anna L. , Biemond Bart J. , Vlaar Alexander P. J. 
Published: October 2022

AbstractBackgroundTransfusion‐related acute lung injury (TRALI) is a severe complication of blood transfusion that is thought of as a two‐hit event: first the underlying patient condition (e.g., sepsis), and then the transfusion. Transfusion factors include human leukocyte antigen antibodies or biologic response modifiers (BRMs) accumulating during storage. Preclinical studies show an increased TRALI risk with longer stored platelets, clinical studies are conflicting. We aim to discover whether longer platelet concentrate (PC) storage time increases TRALI risk in a controlled human experiment.Study Design and MethodsIn a randomized controlled trial, 18 healthy male volunteers received a first hit of experimental endotoxemia (2 ng/kg lipopolysaccharide), and a second hit of fresh (2‐day old) or aged (7‐day old) autologous PC, or physiological saline. After 6 h, changes in TRALI pathways were determined using spirometry, chest X‐ray, and bronchoalveolar lavage (BAL).ResultsAll subjects reacted adequately to lipopolysaccharide infusion and satisfied SIRS criteria (increased pulse [>90/min] and temperature [>38°C]). There were no differences between the saline, fresh, and aged PC groups in BAL‐fluid protein (95 ± 33 μg/ml; 83 ± 21 μg/ml and 104 ± 29 μg/ml, respectively) and relative neutrophil count (1.5 ± 0.5%; 1.9 ± 0.8% and 1.3 ± 0.8%, respectively), nor in inflammatory BAL‐fluid BRMs (Interleukin‐6, CXCL8, TNFα and myeloperoxidase), clinical respiratory parameters, and spirometry results. All chest X‐rays were normal.ConclusionsIn a human endotoxemia model of autologous platelet transfusion, with an adequate first hit and platelet storage lesion, transfusion of 7‐day‐old PC does not increase pulmonary inflammation compared with 2‐day‐old PC.
Economic sanction and global sourcing complexity: A cross‐country analysis
Authors: Ha Tran Manh , Ngoc Thang Doan 
Published: October 2022

AbstractThe supply chain disruption drives the firms to source the same inputs from multiple suppliers in low‐cost countries. However, the imposition of economic sanctions may prevent firms from enjoying the diversification benefits of global sourcing complexity. Using data for more than 127 countries from 1997 to 2014, we uncover the effects of economic sanctions on the global sourcing complexity. After extensive robustness checks, our main findings reveal that economic sanction hampers global sourcing complexity. These effects are conditional on the level of economic development and the occurrence of financial crises in a particular country. Our results are robust for various forms of economic sanction, alternative estimators and when controlling endogeneity problems. Our findings suggest important foreign policy and managerial implications for the countries and firms in response to economic sanctions.
Acute phase reactants in nondomesticated mammals—A veterinary clinical pathology perspective
Authors: Hooijberg Emma H. , Cray Carolyn 
Published: October 2022

AbstractApplications for acute phase reactants (APRs) in nondomesticated mammals include identifying inflammatory disease, monitoring the course of specific disease processes and recovery during rehabilitation, detecting preclinical or subclinical disease, being used as bioindicators for monitoring population and ecosystem health, and as markers of stress and animal welfare. Serum amyloid A, haptoglobin, C‐reactive protein, fibrinogen, albumin, and iron are most commonly measured. The procedure for evaluating an APR in a nondomesticated mammalian species should follow a stepwise approach beginning with an assessment of analytical performance, followed by an evaluation of overlap performance, clinical performance, and impact on patient outcomes and management. The lack of species‐specific standards and antibodies for nondomesticated mammals presents a challenge, and more attention needs to be focused on assessing cross‐reactivity and ensuring adequate analytical performance of APR assays. Sample selection for the initial evaluation of APRs should consider preanalytical influences and should originate from animals with confirmed inflammatory disease and healthy animals. Reference intervals should be generated according to published guidelines. Further evaluation should focus on assessing the diagnostic utility of APRs in specific disease scenarios relevant to a species. Greater attention should be paid to assay performance and uniformity of methods when using APRs for population and ecosystem surveillance. Veterinary clinical pathologists should work closely with zoo veterinarians and wildlife researchers to optimize the accuracy and utility of APR measurements in these various conservation medicine scenarios.
The impact of exercise training on endothelial function in postmenopausal women: a systematic review
Authors: Lew Lindsay A. , Ethier Tarrah S. , Pyke Kyra E. 
Published: October 2022

New Findings
What is the topic of this review?
The aim of this systematic review was to evaluate and summarize all published literature examining the impact of various exercise training interventions on endothelial function in postmenopausal women.

What advances does it highlight?
There was a moderate effect of training on macrovascular and microvascular endothelial function and just under two‐thirds of studies demonstrated a significant increase in at least one measure of endothelial function in postmenopausal women. Factors including exercise intensity and duration, vessel type, clinical status, hormone therapy, and menopausal status may influence the effects of training on endothelial function in postmenopausal women.

AbstractWomen experience a rapid decline in endothelial function during menopause. Therefore, it is important to explore interventions, such as exercise training, that may prevent endothelial dysfunction in postmenopausal women. The aim of this systematic review was to evaluate and summarize all published literature examining the impact of various exercise training interventions on endothelial function in postmenopausal women. Three electronic databases (MEDLINE, EMBASE and Web of Science) were used to systematically select studies related to exercise training, endothelial function and postmenopausal women. The major initial and secondary update systematic searches yielded 502 unique articles that were screened for eligibility. Thirty‐five studies were included in the systematic review. Two‐thirds of all studies demonstrated a group‐level increase in at least one measure of endothelial function with training. Most studies investigating biomarkers of endothelial function showed improvement in at least one measured biomarker post‐training. There was a moderate effect of training on both macrovascular and microvascular endothelial function in observational and randomized intervention studies. Variability in study designs, training protocols and participant characteristics make it difficult to directly compare studies. Factors including exercise intensity and duration, vessel type, clinical status, hormone therapy, and menopausal status may contribute to the inconsistent effects of training on endothelial function in postmenopausal women. Future research is needed in this population to understand the mechanisms driving inter‐study and inter‐individual differences in training‐induced changes in endothelial function.
A Cadaveric Comparison of the Kinematic and Anatomical Axes and Arthrokinematics of the Metatarsosesamoidal and First Metatarsophalangeal Joints
Authors: Thorhauer Eric , French Mackenzie , Kimura Tadashi , Ledoux William R. 
Published: October 2022

Abstract
Presently, developments in weightbearing computed tomography and biplanar fluoroscopy technologies offer exciting avenues for investigating normative and pathologic foot function with increasing precision. Still, data quantifying sesamoid bone and proximal phalange motion are currently sparse. To express joint kinematics and compare various clinical cohorts, future studies of first ray motion will necessitate robust coordinate frames that respect the variations in underlying anatomy while also aligning closely with the functional, physiological axes of motion. These activity-dependent functional axes may be represented by a mean helical axis of the joint motion. Our cadaveric study quantified joint kinematics from weightbearing computed tomography scans during simulated toe lift and heel rise tasks. We compared the spatial orientations of the mean finite helical axes of the metatarsosesamoidal and metatarsophalangeal joints to the primary joint axis of two relevant methods for defining metatarsal coordinate frames: inertial axes and fitting of geometric primitives. The resultant kinematics exhibited less crosstalk when using a metatarsal coordinate system based on fitting cylindrical primitives to the bony anatomy compared to using principal component axes. Respective metatarsophalangeal and metatarsosesamoidal arthrokinematic contact paths and instantaneous centers of rotation were similar between activities and agree well with currently published data. This study outlines a methodology for quantitatively assessing the efficacy and utility of various anatomical joint coordinate system definitions. Improvements in our ability to characterize the shape and motion of foot bones in the context of functional tasks will elucidate their biomechanical roles and aid clinicians in refining treatment strategies.
Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments
Authors: Hu Chuanhui , Jin Yan 
Published: October 2022

Abstract
Path planning and collision avoidance are common problems for researchers in vehicle and robotics engineering design. In the case of autonomous ships, the navigation is guided by the regulations for preventing collisions at sea (COLREGs). However, COLREGs do not provide specific guidance for collision avoidance, especially for multi-ship encounters, which is a challenging task even for humans. In short-range path planning and collision avoidance problems, the motion of target ships is often considered as moving at a constant velocity and direction, which cannot be assumed in long-range planning and complex environments. The research challenge here is how to factor in the uncertainty of the motion of the target ships when making long-range path plans. In this paper, we introduce a long-range path planning algorithm for autonomous ships navigating in complex and dynamic environments to reduce the risk of encountering other ships during future motion. Based on the information on the position, speed over ground, and course over ground of other ships, our algorithm can estimate their intentions and future motions based on the probabilistic roadmap algorithm and use a risk-aware A* algorithm to find the optimal path that has low accumulated risk of encountering other ships. A case study is carried out on real automatic identification systems (AIS) datasets. The result shows that our algorithm can help reduce multi-ship encounters in long-term path planning.
A Deformation Control Method in Thin-Walled Parts Machining Based on Force and Stiffness Matching Via Cutter Orientation Optimization
Authors: Cai Yonglin , Zhang Zhengzhong , Xi Xiaolin , Zhao Defu 
Published: October 2022

Abstract
In the milling process, significant machining errors may occur due to the low stiffness of thin-walled parts. To reduce the cutting force-induced deformation in milling thin-walled parts such as blades, a cutter orientation optimization algorithm based on stiffness matching is proposed. The concept of maximum stiffness direction is put forward according to the phenomenon that different deformations are produced when applying forces with the same magnitude but in different directions. The stiffness of the in-process workpiece is obtained using the stiffness updating method. The cutter orientation optimization algorithm is presented to match the force with the maximum stiffness direction. The best cutter orientation is obtained by adopting the quantum particle swarms optimization algorithm at the key cutter location points, and then the cutter orientations of all cutter location points are obtained by the quaternion interpolation algorithm. The proposed deformation control method is verified on thin-walled blade milling experiments, and the experimental results show that the machining deformation of the blade with the optimized cutter orientation is reduced by about 36.51%, indicating that the proposed method can effectively reduce the machining deformation of the thin-walled parts.
A Scalable Digital Twin Framework Based on a Novel Adaptive Ensemble Surrogate Model
Authors: Lai Xiaonan , He Xiwang , Pang Yong , Zhang Fan , Zhou Dongcai , Sun Wei , Song Xueguan 
Published: October 2022

AbstractThe concept of digital twins is to have a digital model that can replicate the behavior of a physical asset in real time. However, using digital models to reflect the structural performance of physical assets usually faces high computational costs, which makes it difficult for the model to satisfy real-time requirements. As a technique to replace expensive simulations, surrogate models have great potential to solve this problem. In practice, however, the optimal individual surrogate model (ISM) applicable to a given problem usually changes as factors change, and this can be mitigated by integrating multiple ISMs. Therefore, this paper proposes a scalable digital twin framework based on a novel adaptive ensemble surrogate model. This ensemble not only provides robust approximation but also reduces the additional cost brought by the ensemble by reducing the number of ISMs participating in the ensemble through multicriterion model screening. Moreover, based on the characteristics of the finite element method, a node rearrangement method, which provides scalability for the construction of a digital model, is proposed. That is, the distribution and number of nodes can be customized to not only decrease the computational cost by reducing nodes but also obtain the information at key positions by customizing the locations of nodes. Numerical experiments are employed to verify the performance of the proposed ensemble and node rearrangement method. A telehandler is used as an example to build a scalable digital twin, which proves the feasibility and effectiveness of the framework.
Generative Design for Resilience of Interdependent Network Systems
Authors: Wu Jiaxin , Wang Pingfeng 
Published: October 2022

Abstract
Interconnected complex systems usually undergo disruptions due to internal uncertainties and external negative impacts such as those caused by harsh operating environments or regional natural disaster events. To maintain the operation of interconnected network systems under both internal and external challenges, design for resilience research has been conducted from both enhancing the reliability of the system through better designs and improving the failure recovery capabilities. As for enhancing the designs, challenges have arisen for designing a robust system due to the increasing scale of modern systems and the complicated underlying physical constraints. To tackle these challenges and design a resilient system efficiently, this study presents a generative design method that utilizes graph learning algorithms. The generative design framework contains a performance estimator and a candidate design generator. The generator can intelligently mine good properties from existing systems and output new designs that meet predefined performance criteria while the estimator can efficiently predict the performance of the generated design for a fast iterative learning process. Case studies results based on synthetic supply chain networks and power systems from the IEEE dataset have illustrated the applicability of the developed method for designing resilient interdependent network systems.
Effect of Heat-to-Heat Variability on Long-Term Creep Rupture Lifetime Predictions of Single Step Aged Wrought Haynes 282 Alloy
Authors: Cedro Vito , Render Mark , Chukwunenye Kelechi 
Published: October 2022

Abstract
The impact of a weaker heat of the wrought form of Haynes 282 nickel superalloy on predicted 100,000 h creep rupture strength (CRS) and hence maximum allowable working stress (MAWS) was determined by correlating the creep rupture data of the two stronger heats of material that were used (along with the third weaker heat) to develop the ASME Code Case for this alloy. In comparison with the established MAWS values, estimated MAWS values were 3–7% higher in the temperature range of 700–800 °C and up to 30% higher above 800 °C when the weaker heat was removed from the data analysis. These results show the importance of minimizing heat to heat variability of properties that affect high temperature creep strength, including grain size, which can be affected by parameters that might not be included in the alloy specification. For nickel superalloys, such as Haynes 282, design optimization and manufacturing control of grain size, in addition to chemical composition and gamma prime content and size, can provide measurable improvements in MAWS values established by ASME in the time-dependent region, where these alloys are usually employed.