bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ionic Polymer Metal Composite Sensors With Engineered Interfaces (eIPMCs): Compression Sensing Modeling and Experiments
Authors: Histed Rebecca , Ngo Justin , Hussain Omar A. , Lapins Chantel , Leang Kam K. , Liao Yiliang , Aureli Matteo 
Published: January 2021

Abstract
In this paper, we examine the development of tailored 3D-structured (engineered) polymer-metal interfaces to create enhanced ionic polymer-metal composite (eIPMC) sensors towards soft, self-powered, high sensitivity strain sensor applications. First, a physics-based chemoelectromechanical model is developed to predict the sensor behavior of eIPMCs by incorporating structure microfeature effects in the mechanical response of the material. The model incorporates electrode surface properties, such as microscale feature thickness, size and spacing, to help define the mechanical response and transport characteristics of the polymer-electrode interface. Second, two novel approaches are described to create functional samples of eIPMC sensors using fused deposition manufacturing and inkjet printing technologies. Sample eIPMC sensors are fabricated for experimental characterization. Finally, experimental results are provided to show superior performance in the sensing capabilities compared to traditional sensors fabricated from sheet-form material. The results also validate important predictive aspects of the proposed minimal model.
Trajectory Generation From Paths for Autonomous Ground Vehicles
Authors: Lin Letian , Zhu J. Jim 
Published: January 2021

Abstract
Path-to-trajectory conversion problem for car-like autonomous ground vehicles has been studied in various ways. It is challenging to generate a trajectory which is dynamically feasible for the vehicle and comfortable for the passengers. An important practical concern of low computational costs makes the problem even more difficult. In this work, a path-to-trajectory converter is developed using a novel receding-horizon type suboptimal algorithm. By transforming the dynamic constraints to a longitudinal velocity limit function in the velocity-acceleration phase plane, a time-sub-optimal trajectory satisfying the dynamic constraints and the initial boundary condition is generated by computing the maximum constant acceleration in the down-range horizon. The portion of the trajectory approaching the end of the path is generated in reverse time. As illustrated by some simulation results and validation on a full-scale Kia Soul EV, the proposed path-to-trajectory conversion algorithm is able to account for dynamic constraints of the vehicle and guarantees passenger comfort.
Roll Maneuverability of Flapping Flight Winged Systems
Authors: Vejdani Hamid 
Published: January 2021

Abstract
The goal of this paper is to study the effect of wing flapping kinematics on roll maneuverability of flapping flight systems. Inspired from birds maneuvering action, we study the effect of asymmetric flapping angular velocities of the wings on generating roll motions on the body. To expand the generality of the results, the equations of motion are written dimensionless. The effect of aerodynamic parameter, forward velocity and wing inertia are presented. The results show that applying asymmetric velocities during flight is useful for relatively larger wings.
Motorized and Functional Electrical Stimulation Induced Cycling via Switched Adaptive Concurrent Learning Control
Authors: Casas Jonathan , Chang Chen-Hao , Duenas Victor H. 
Published: January 2021

Abstract
Cycling induced by functional electrical stimulation (FES) with motorized assistance is a rehabilitative approach for individuals with movement impairments. In this paper, an adaptive controller is designed for cadence tracking by switching across multiple muscle groups and an electric motor. The control design and analysis are based on a recently developed adaptive method called integral concurrent learning and an invariance-like tool to ensure stability of switched adaptive systems. A Lyapunov-based stability analysis for the overall switched rider-cycle system is segregated into two phases. During the first phase when sufficient learning has not been attained, which is quantified by a finite excitation condition, global asymptotic tracking and bounded parameter estimation are guaranteed. In the second phase, global exponential tracking and parameter convergence is ensured after the finite excitation condition is satisfied for all the subsystems within a finite time.
Stability and Control of Chaplygin Beanies Coupled to a Platform Through Nonholonomic Constraints
Authors: Buchanan Blake , Travers Matthew , Choset Howie , Kelly Scott 
Published: January 2021

Abstract
Many multi-agent systems in nature are comprised of agents that interact with, and respond to, the dynamics of their environment. In this paper, we approach the study of such agent environment interactions through the study of passively compliant vehicles coupled to their environment via simple nonholonomic constraints. We first consider a single passively compliant Chaplygin beanie atop a platform having translational compliance, introduce the reduced equations for the system using the notion of nonholonomic momentum, and provide proof for its stability under arbitrary deformations of the elastic element modeling its compliance. We then direct our focus to results concerning the frequency response and control of passive Chaplygin beanies under actuation of the platform, discuss rich dynamical features arising from periodic actuation, and develop rules by which control can be exerted to collect and disperse multiple passive vehicles. We then discuss how the latter of these results clarifies the extent to which stable behavior can be excited in the system through exogenous control.
Effect of Short-Term Weather Predictions on Model Predictive Trajectory Tracking Performance of Unmanned Surface Vessels
Authors: Armentor Benjamin , Stevens Joseph , Madsen Nathan , Durand Andrew , Vaughan Joshua 
Published: January 2021

Abstract
For mobile robots, such as Autonomous Surface Vessels (ASVs), limiting error from a target trajectory is necessary for effective and safe operation. This can be difficult when subjected to environmental disturbances like wind, waves, and currents. This work compares the tracking performance of an ASV using a Model Predictive Controller that includes a model of these disturbances. Two disturbance models are compared. One prediction model assumes the current disturbance measurements are constant over the entire prediction horizon. The other uses a statistical model of the disturbances over the prediction horizon. The Model Predictive Controller performance is also compared to a PI-controlled system under the same disturbance conditions. Including a disturbance model in the prediction of the dynamics decreases the trajectory tracking error over the entire disturbance spectrum, especially for longer horizon lengths.
Interaction-Aware Behavior Planning for Autonomous Vehicles Validated With Real Traffic Data
Authors: Li Jinning , Sun Liting , Zhan Wei , Tomizuka Masayoshi 
Published: January 2021

Abstract
Autonomous vehicles (AVs) need to interact with other traffic participants who can be either cooperative or aggressive, attentive or inattentive. Such different characteristics can lead to quite different interactive behaviors. Hence, to achieve safe and efficient autonomous driving, AVs need to be aware of such uncertainties when they plan their own behaviors. In this paper, we formulate such a behavior planning problem as a partially observable Markov Decision Process (POMDP) where the cooperativeness of other traffic participants is treated as an unobservable state. Under different cooperativeness levels, we learn the human behavior models from real traffic data via the principle of maximum likelihood. Based on that, the POMDP problem is solved by Monte-Carlo Tree Search. We verify the proposed algorithm in both simulations and real traffic data on a lane change scenario, and the results show that the proposed algorithm can successfully finish the lane changes without collisions.
Association between vaping and health outcomes in patients with opioid use disorder: a systematic review protocol
Authors: Sanger Nitika , D"Elia Alessia , Sanger Stephanie , Rosic Tea , Samaan M Constantine , Kapczinski Flávio , de Souza Russell J , Thabane Lehana , Samaan Zainab 
Published: January 2021

IntroductionVaping behaviour has increased in popularity and is particularly important to examine how it effects health outcomes in vulnerable populations, including those with opioid use disorder (OUD). With polysubstance use including cigarette and cannabis use being highly prevalent in the OUD population and cannabis/nicotine increasingly being consumed by vaping, vaping may have an important contribution to health outcomes in these individuals. The primary objective of this review is to systematically assess the literature related to patients with OUD and the effects vaping has shown on their physical and mental health.Method and analysisA systematic search of databases including MEDLINE, Embase, PsycINFO, Web of Science, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Cochrane Clinical Trials Registry, the National Institutes for Health Clinical Trials Registry and the WHO International Clinical Trials Registry Platform from inception to 31 December 2020 will be conducted. Identified citations will be screened by two reviewers to determine eligibility at the title and abstract level, and then at the full text and data extraction phases. Any disagreements in inclusion will be resolved through unblinded discussion by these reviewers, with any remaining disagreements being resolved by a third reviewer. Data collection from eligible studies will be conducted according to the data extraction form tested prior to abstraction. Included studies will be examined for quality and bias and will be meta-analysed where applicable. This protocol is reported in keeping with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines.Ethics and disseminationThe results for this review will be disseminated through publications in peer-reviewed journals, posters and presentations at scientific conferences. Additionally, we are collaborating with the Canadian Addiction Treatment Centre clinics to help disseminate the findings for this review. As this is a systematic review, no ethics approval is needed.Review registration numberCRD42020178441.
Early Chronic Kidney Disease Care Programme delays kidney function deterioration in patients with stage I–IIIa chronic kidney disease: an observational cohort study in Taiwan
Authors: Niu Shu-Fen , Wu Chung-Kuan , Chuang Nai-Chen , Yang Ya-Bei , Chang Tzu-Hao 
Published: January 2021

ObjectivesTo investigate the effect of the Early Chronic Kidney Disease (CKD) Care Programme on CKD progression in patients with CKD stage I–IIIa.DesignObservational cohort study.SettingTaipei Medical University Research Database from three affiliated hospitals.ParticipantsAdult non-pregnant patients with CKD stage I–IIIa from Taipei Medical University Research Database between 1 January 2012 and 31 August 2017 were recruited. These patients were divided into Early CKD Care Programme participants (case) and non-participants (control). The models were matched by age, sex, estimated glomerular filtration rate and CKD stage with 1:2 propensity score to reduce bias between two groups.Outcome measuresThe risks of CKD stage I–IIIa progression to IIIb between Early CKD Care Programme participants and non-participants.ResultsCompared with the control group, the case group demonstrated more comorbidities and higher proportions of hypertension, diabetes mellitus, gout, dyslipidaemia, heart disease and cerebrovascular disease, but had lower risk of progression to CKD stage IIIb before and (HR 0.72; 95% CI 0.61 to 0.85) and after (adjusted HR (aHR) 0.67; 95% CI 0.55 to 0.81) adjustments. Moreover, Kaplan-Meier analysis revealed the cumulative incidence of CKD stage IIIb was significantly lower in the case group than in the control group. Finally, the programme was an independent protective factor against progression to stage IIIb, especially in patients with CKD stage IIIa before (HR 0.72; 95% CI 0.61 to 0.85) and after (aHR 0.67; 95% CI 0.55 to 0.81) adjustments.ConclusionsThe Early CKD Care Programme is an independent protective factor against progression of early CKD.
Is an integrated model of school eye health delivery more cost-effective than a vertical model? An implementation research in Zanzibar
Authors: Chan Ving Fai , Omar Fatma , Yard Elodie , Mashayo Eden , Mulewa Damaris , Drake Lesley , Wepo Mary , Minto Hasan 
Published: January 2021

ObjectiveTo review and compare the cost-effectiveness of the integrated model (IM) and vertical model (VM) of school eye health programme in Zanzibar.Methods and analysisThis 6-month implementation research was conducted in four districts in Zanzibar. Nine and ten schools were recruited into the IM and VM, respectively. In the VM, teachers conducted eye health screening and education only while these eye health components were added to the existing school feeding programme (IM). The number of children aged 6–13 years old screened and identified was collected monthly. A review of project account records was conducted with 19 key informants. The actual costs were calculated for each cost categories, and costs per child screened and cost per child identified were compared between the two models.ResultsScreening coverage was 96% and 90% in the IM and VM with 297 children (69.5%) from the IM and 130 children (30.5%) from VM failed eye health screening. The 6-month eye health screening cost for VM and IM was US$6 728 and US$7 355. The cost per child screened for IM and VM was US$1.23 and US$1.31, and the cost per child identified was US$24.76 and US$51.75, respectively.ConclusionBoth models achieved high coverage of eye health screening with the IM being a more cost-effective school eye health delivery screening compared with VM with great opportunities for cost savings.
Do rugby league players under-report concussion symptoms? A cross-sectional study of elite teams based in Australia
Authors: Longworth Thomas , McDonald Andrew , Cunningham Corey , Khan Hussain , Fitzpatrick Jane 
Published: January 2021

ObjectiveTo determine the rate of under-reporting of concussion and its symptoms in elite rugby league players in Australia.MethodsThe study was conducted in the preseason of the 2020 National Rugby League (NRL) competition.A total of 151 male, NRL club contracted rugby league players across three professional clubs participated.The participants completed a voluntary, anonymous survey exploring player demographics, concussion data, under-reporting instances and reasons for under-reporting over the 2018 and 2019 rugby league seasons.Results17.2% of surveyed players reported sustaining a likely concussion over the past 2 years and not reporting to medical staff. 22% of NRL first grade players admitted to not reporting at least one concussion during the 2018 and 2019 seasons. The most common reasonnotto report was the player ‘not wanting to be ruled out of the game or training session’ (57.7%), followed by ‘not wanting to let down the coaches or teammates’ (23.1%). 85.4% of surveyed players reported having concussion education by their club in the previous two seasons.Conclusions17.2 % of elite rugby league players in Australia chose not to report likely concussive episodes and concussion-related symptoms during the 2018 and 2019 seasons. Clinicians need to be aware of under-reporting in athletes when assessing players following head injuries. The findings highlight the need for development of validated, objective testing for concussion following sports-associated head injury.
Fried-food consumption and risk of cardiovascular disease and all-cause mortality: a meta-analysis of observational studies
Authors: Qin Pei , Zhang Ming , Han Minghui , Liu Dechen , Luo Xinping , Xu Lidan , Zeng Yunhong , Chen Qing , Wang Tieqiang , Chen Xiaoliang , Zhou Qionggui , Li Quanman , Qie Ranran , Wu Xiaoyan , Li Yang , Zhang Yanyan , Wu Yuying , Hu Dongsheng , Hu Fulan 
Published: January 2021

ObjectiveWe performed a meta-analysis, including dose–response analysis, to quantitatively determine the association of fried-food consumption and risk of cardiovascular disease and all-cause mortality in the general adult population.MethodsWe searched PubMed, EMBASE and Web of Science for all articles before 11 April 2020. Random-effects models were used to estimate the summary relative risks (RRs) and 95% CIs.ResultsIn comparing the highest with lowest fried-food intake, summary RRs (95% CIs) were 1.28 (1.15 to 1.43; n=17, I2=82.0%) for major cardiovascular events (prospective: 1.24 (1.12 to 1.38), n=13, I2=75.7%; case–control: 1.91 (1.15 to 3.17), n=4, I2=92.1%); 1.22 (1.07 to 1.40; n=11, I2=77.9%) for coronary heart disease (prospective: 1.16 (1.05 to 1.29), n=8, I2=44.6%; case–control: 1.91 (1.05 to 3.47), n=3, I2=93.9%); 1.37 (0.97 to 1.94; n=4, I2=80.7%) for stroke (cohort: 1.21 (0.87 to 1.69), n=3, I2=77.3%; case–control: 2.01 (1.27 to 3.19), n=1); 1.37 (1.07 to 1.75; n=4, I2=80.0%) for heart failure; 1.02 (0.93 to 1.14; n=3, I2=27.3%) for cardiovascular mortality; and 1.03 (95% CI 0.96 to 1.12; n=6, I2=38.0%) for all-cause mortality. The association was linear for major cardiovascular events, coronary heart disease and heart failure.ConclusionsFried-food consumption may increase the risk of cardiovascular disease and presents a linear dose–response relation. However, the high heterogeneity and potential recall and misclassification biases for fried-food consumption from the original studies should be considered.
Inability of granule polarization by NK cells defines tumor resistance and can be overcome by CAR or ADCC mediated targeting
Authors: Eitler Jiri , Wotschel Natalie , Miller Nicole , Boissel Laurent , Klingemann Hans G , Wels Winfried , Tonn Torsten 
Published: January 2021

BackgroundOn encountering a susceptible target, natural killer (NK) cells mediate cytotoxicity through highly regulated steps of directed degranulation. Cytotoxic granules converge at the microtubule organizing center and are polarized toward the immunological synapse (IS), followed by granule exocytosis. NK cell retargeting by chimeric antigen receptors (CARs) or mAbs represents a promising strategy for overcoming tumor cell resistance. However, little is known about the lytic granule dynamics of such retargeted NK cells toward NK-cell-resistant tumors.MethodsHere, we used spinning disk confocal microscopy for live-cell imaging to analyze granule-mediated NK cell cytotoxicity in ErbB2-targeted CAR-expressing NK-92 cells (NK-92/5.28.z) and high-affinity FcR transgenic NK-92 cells plus Herceptin toward ErbB2-positive breast cancer cells (MDA-MB-453), which are resistant to parental NK-92.ResultsUnmodified NK-92 cells cocultured with resistant cancer cells showed stable conjugate formation and granule clustering, but failed to polarize granules to the IS. In contrast, retargeting by CAR or FcR+Herceptin toward the MDA-MB-453 cells enabled granule polarization to the IS, resulting in highly effective cytotoxicity. We found that in NK-92 the phosphoinositide 3-kinase pathway was activated after contact with resistant MDA-MB-453, while phospholipase C-γ (PLCγ) and mitogen-activated protein kinase (MEK)/extracellular signal-regulated kinase (ERK) were not activated. In contrast, retargeting by CAR or antibody-dependent cell-mediated cytotoxicity (ADCC) provided the missing PLCγ and MEK/ERK signals.ConclusionsThese observations suggest that NK cells can create conjugates with resistant cancer cells and respond by granule clustering, but the activation signals are insufficient to induce granule polarization and consequent release of lytic enzymes. Retargeting by CAR and/or the FcR/mAb (ADCC) axis provide the necessary signals, leading to granule polarization and thereby overcoming tumor cell resistance.Keywords: NK cells, NK-92, haNK, ADCC, Chimeric Antigen Receptor (CAR), breast cancer, cancer immunotherapy, live-cell imaging, granule polarization
Clinical impact of COVID-19 on patients with cancer treated with immune checkpoint inhibition
Authors: Rogiers Aljosja , Pires da Silva Ines , Tentori Chiara , Tondini Carlo Alberto , Grimes Joseph M , Trager Megan H , Nahm Sharon , Zubiri Leyre , Manos Michael , Bowling Peter , Elkrief Arielle , Papneja Neha , Vitale Maria Grazia , Rose April A N , Borgers Jessica S W , Roy Severine , Mangana Joanna , Pimentel Muniz Thiago , Cooksley Tim , Lupu Jeremy , Vaisman Alon , Saibil Samuel D , Butler Marcus O , Menzies Alexander M , Carlino Matteo S , Erdmann Michael , Berking Carola , Zimmer Lisa , Schadendorf Dirk , Pala Laura , Queirolo Paola , Posch Christian , Hauschild Axel , Dummer Reinhard , Haanen John , Blank Christian U , Robert Caroline , Sullivan Ryan J , Ascierto Paolo Antonio , Miller Jr Wilson H , Stephen Hodi F , Suijkerbuijk Karijn P M , Reynolds Kerry L , Rahma Osama E , Lorigan Paul C , Carvajal Richard D , Lo Serigne , Mandala Mario , Long Georgina V 
Published: January 2021

BackgroundPatients with cancer who are infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are more likely to develop severe illness and die compared with those without cancer. The impact of immune checkpoint inhibition (ICI) on the severity of COVID-19 illness is unknown. The aim of this study was to investigate whether ICI confers an additional risk for severe COVID-19 in patients with cancer.MethodsWe analyzed data from 110 patients with laboratory-confirmed SARS-CoV-2 while on treatment with ICI without chemotherapy in 19 hospitals in North America, Europe and Australia. The primary objective was to describe the clinical course and to identify factors associated with hospital and intensive care (ICU) admission and mortality.FindingsThirty-five (32%) patients were admitted to hospital and 18 (16%) died. All patients who died had advanced cancer, and only four were admitted to ICU. COVID-19 was the primary cause of death in 8 (7%) patients. Factors independently associated with an increased risk for hospital admission were ECOG ≥2 (OR 39.25, 95% CI 4.17 to 369.2, p=0.0013), treatment with combination ICI (OR 5.68, 95% CI 1.58 to 20.36, p=0.0273) and presence of COVID-19 symptoms (OR 5.30, 95% CI 1.57 to 17.89, p=0.0073). Seventy-six (73%) patients interrupted ICI due to SARS-CoV-2 infection, 43 (57%) of whom had resumed at data cut-off.InterpretationCOVID-19–related mortality in the ICI-treated population does not appear to be higher than previously published mortality rates for patients with cancer. Inpatient mortality of patients with cancer treated with ICI was high in comparison with previously reported rates for hospitalized patients with cancer and was due to COVID-19 in almost half of the cases. We identified factors associated with adverse outcomes in ICI-treated patients with COVID-19.