bluuebunny/crossref_metadata_2025_split huggingface dataset:
A more efficient preparation system for HLA‐eliminated platelets
Authors: Hayashi Tomoya , Aminaka Ryota , Fujimura Yoshihiro , Koh Yangsook , Sugaya Sari , Hayashi Akihiro , Ueno Yoshiyuki , Furuta Rika A. , Tani Yoshihiko , Takihara Yoshihiro , Hirayama Fumiya 
Published: November 2019

Background and objectivesAlthough HLA‐eliminated platelets can facilitate transfusions to patients possessing HLA antibodies, no such products are currently available commercially perhaps because the platelet collection rate is not yet economically viable. We have improved this process’ efficiency by employing a hollow‐fibre system at the last step of the production process after an acid and a reaction buffer have been washed out conventionally by centrifugation.Materials and methodsHLA‐eliminated platelets were prepared via four distinct steps: chilled on ice, treated with an acid solution, diluted and finally washed using the hollow‐fibre system. The efficiency of this platelet recovery process was determined. The resulting products’ platelet characteristics, including a capacity for HLA expression, were evaluated in vitro and compared in detail to their corresponding originals.ResultsThe average efficiency of platelet recovery was 91%. Although the expression levels of CD62P, a molecular marker for platelet activation, were approximately threefold higher on new platelets than on the original platelets, their HLA expression levels were lower. The phagocytosis assay, with monoclonal antibodies and cognate HLA antibody‐containing sera, suggested that HLA‐ABC molecules on the cell surface were sufficiently removed. The platelet functions, including the agonist‐induced aggregability and adherence/aggregability of the collagen‐coated plates under certain conditions, were conserved and not significantly different from the original ones.ConclusionWe propose a novel preparation system for producing HLA‐eliminated platelets without centrifugation, which ensures a highly efficient, and therefore, much more economical method of platelet recovery that also retains their key functionality.
Long‐term outcomes after pantarsal arthrodesis with medial plate fixation without external coaptation in 30 dogs
Authors: Anesi Simone , Clarke Stephen , Gemmill Toby , Oxley Bill , Pink Jonathan , Smith Kinley , Rutherford Scott 
Published: November 2019

AbstractObjectiveTo report long‐term outcomes of dogs treated with pantarsal arthrodesis (PTA) with medial plate fixation without external coaptation.Study designRetrospective case series.AnimalsClient‐owned dogs (n = 30).MethodsMedical records of dogs that had undergone a PTA with a medially applied plate without adjunctive rigid external coaptation were reviewed. Data collected included signalment, complications, and assessment of function at last physical examination. Follow‐up information was obtained by phone conversations with owners. Complications were classified as minor, major II, major I, and catastrophic.ResultsThirty‐six PTA were performed in 30 dogs. Recorded complications included eight (22.2%) minor complications, 11 (30.6%) major II complications and 11 (30.6%) major I complications. One (2.8%) dog required amputation because of catastrophic complication. Owners provided follow‐up for 26 dogs at a median duration of 1215 days (range, 325‐3495) after surgery. The outcome was reported as full function in 12 dogs and acceptable function in 14 dogs, with no owners reporting unacceptable function. The owner of the dog in which amputation was required was not contacted. Incorrect contact details prevented owner follow‐up in the other three dogs, but all had acceptable function at last veterinary follow up.ConclusionDogs treated with PTA by medially applied plate had a high incidence of complications requiring surgical or medical management, although full or acceptable function was achieved in 29 of 30 dogs.Clinical significance:Pantarsal arthrodesis offers a predictably good medium to long‐term outcome in spite of a high risk of complications.
Preparation, characterization, and xenotransplantation of the caprine acellular dermal matrix
Authors: Asodiya Foram A. , Kumar Vineet , Vora Shruti D. , Singh Vivek K. , Fefar Dhaval T. , Gajera Harsukh P. 
Published: November 2019

AbstractBackgroundCaprine skin is a promising biomaterial for tissue‐engineering applications. However, tissue processing is required before its xenogenic use.AimsTherefore, the purpose of this study was to evaluate the structural integrity and biocompatibility of the caprine skin after de‐epithelialization, using sodium chloride (NaCl) and trypsin solutions, followed by de‐cellularization using sodium dodecyl sulfate (SDS) solution.Materials & MethodsThe caprine skin was de‐epithelialized using NaCl (2‐4 mol/L) and trypsin (0.25%‐0.5%) followed by the treatment of SDS (1%‐4%) solution over a period of time. Acellularity of the prepared matrix was confirmed histologically and characterized by appropriate staining, scanning electron microscopy (SEM), DNA quantification, and Fourier‐transform infrared (FTIR) spectroscopy. The caprine acellular dermal matrix (CADM) was used for the repair of spontaneously occurring abdominal hernia in ten buffaloes. The biocompatibility of the CADM was evaluated using clinical, hematological, biochemical, and anti‐oxidant parameters.ResultsHistologically, the skin treated with 0.25% trypsin in 4 mol/L NaCl for 8 hours resulted in complete de‐epithelialization. Further treatment with 2% SDS for 48 hours demonstrated complete acellularity and orderly arranged collagen fibers. The SEM confirmed a preservation of collagen arrangement within CADM. The DNA content was significantly (P < .05) lower in CADM (46.20 ± 7.94 ng/mg) as compared to fresh skin (662.56 ± 156.11 ng/mg) indicating effective acellularity. The FTIR spectra showed characteristic collagen peaks of amide A, amide B, amide I, amide II, and amide III in CADM. All the 10 animals recovered uneventfully and remained sound. Hematological, biochemical, and anti‐oxidants findings were unremarkable.ConclusionResults indicated the acceptance and biocompatibility of the xenogenic caprine acellular dermal matrix for abdominal hernia repair in buffaloes without complications.
Spotted fever group rickettsiae canine serosurveillance near the US–Mexico border in California
Authors: Estrada Irais , Balagot Caroline , Fierro Marian , Kriner Paula , Iniguez‐Stevens Esmeralda , Kjemtrup Anne , Foley Janet 
Published: November 2019

AbstractBackgroundDogs are vulnerable to pathogens transmitted by brown dog ticks. An epidemic of Rocky Mountain spotted fever (RMSF) is underway in Mexicali, a Mexican city bordering California affecting people and dogs; several human cases have been reported in California residents who travelled to Mexico. To evaluate risks of RMSF, we conducted seroprevalence surveys in Imperial County in 2016 and 2017 using dogs as sentinels.MethodsBlood was collected from 752 dogs and was tested for antibodies against R. rickettsii, E. canis and A. phagocytophilum (as a proxy for A. platys). Samples were considered seropositive to spotted fever group rickettsia (SFGR) if the R. rickettsia titre was ≥1:64 and seropositive to E. canis and A. phagocytophilum if the titre was ≥1:32. Owners provided information on dog age, exposure risks, health status and tick prevention. We assessed associations between SFGR seropositivity and driving distance to the nearest US–Mexico border crossing station, whether proximity to a border crossing increased likelihood of taking dogs across the border, and whether distance to the border was associated with seropositivity. Logistic regression was performed to assess relationships between the titre classes and other predictor variables.Results12.2% of dogs were seropositive against SFGR. Dogs close to the border were significantly more likely to be taken across the border and to be seropositive. Risk factors that increased seropositivity included owners seeing ticks on the dog (OR = 1.9), being an adult dog, travel to Mexico (OR = 3.0) and living in a rural area (OR = 4.0). There was statistically significant co‐exposure to SFGR and Anaplasma spp.ConclusionSurveillance for brown dog tick‐vectored pathogens can help identify dogs and people at risk for RMSF. Tick prevention, particularly in dogs, and surveillance of tick‐borne pathogens can help prevent the spread of rickettsioses and other diseases in this dynamic border region.
Detection of System Compromise in Additive Manufacturing Using Video Motion Magnification
Authors: Arul Prakash Sakthi Kumar , Mahan Tobias , Williams Glen , McComb Christopher , Menold Jessica , Tucker Conrad S. 
Published: November 2019

Abstract
Three-dimensional printing systems have expanded the access to low cost, rapid methods for attaining physical prototypes or products. However, a cyber attack, system error, or operator error on a 3D-printing system may result in catastrophic situations, ranging from complete product failure, to small types of defects which weaken the structural integrity of the product. Such defects can be introduced early-on via solid models or through G-codes for printer movements at a later stage. Previous works have studied the use of image classifiers to predict defects in real-time and offline. However, a major restriction in the functionality of these methods is the availability of a dataset capturing diverse attacks on printed entities or the printing process. This paper introduces an image processing technique that analyzes the amplitude and phase variations of the print head platform arising through induced system manipulations. The method uses an image sequence of the printing process to perform an offline spatio-temporal video decomposition to amplify changes attributable to a change in system parameters. The authors hypothesize that a change in the amplitude envelope and instantaneous phase response as a result of a change in the end-effector translational instructions to be correlated with an AM system compromise. Two case studies are presented, one verifies the hypothesis with statistical evidence in support of the method while the other studies the effectiveness of a conventional tensile test to identify system compromise. The method has the potential to enhance the robustness of cyber-physical systems such as 3D printers.
Optimal Sensor Configuration for Fatigue Life Prediction in Structural Applications
Authors: Khalil Mohamed , Kouroudis Ioannis , Wüchner Roland , Bletzinger Kai-Uwe 
Published: November 2019

Abstract
Structural health monitoring is spreading widely across engineering domains. Its added value is not restricted to observing structural behavior, but crosses over to enabling the assessment of structural integrity under varying operating conditions. Damage prognosis is one vital demand from structural health monitoring solutions. Many methods have been developed to update damage predictions based on sensor data, nonetheless the selection and positioning of sensors to alleviate the prediction errors remains a question under investigation. In this work, an optimal sensor placement method is proposed for fatigue damage prediction in structures. An optimization problem is formulated to minimize the a-posteriori damage estimation error based on a Kalman filter. The derivation of the objective function is presented, along with a discussion of algorithm-related issues. Finally, the mentioned damage prediction approach is applied to two structures to verify the adequacy of the sensor configurations proposed by the method.
Solution of the Benchmark Control Problem by Scenario Optimization
Authors: Rocchetta Roberto , Crespo Luis G. , Kenny Sean P. 
Published: November 2019

Abstract
This article introduces a scenario optimization framework for reliability-based design given measurements of the uncertain parameters. In contrast to traditional methods, scenario optimization makes direct use of the available data thereby eliminating the need for assuming a distribution class and estimating its hyper-parameters. Scenario theory provides formal bounds on the probabilistic performance of a design decision and certifies the system ability to comply with various requirements for future/unseen observations. This probabilistic certificate of correctness is non-asymptotic and distribution-free. Furthermore, chance-constrained optimization techniques are used to detect and eliminate the effects of outliers in the resulting optimal design. The proposed framework is exemplified on a benchmark robust control challenge problem having conflicting design objectives.
Active Vibration Rejection in Multi Actuator Drives: Data Driven Approach
Authors: Shah Prateek , Horowitz Roberto 
Published: November 2019

Abstract
Multi Actuator Technology was unveiled in December 2017 by Seagate, a breakthrough that can double the data performance of the future generation hard disk drives. This technology will equip drives with dual actuators operating on the same pivot point. Each actuator will control half of the drives arms.
This new technology brings new control challenges with it. Since two actuators operate independently on the same pivot timber, the control forces and torques generated by one actuator can affect the operation of the other actuator. The independent functioning of the two actuators will lead to a scenario of one actuator in the track seeking mode while the other actuator is in the track following mode. It is expected that the track seeking actuator will impart vibration onto the track following actuator, worsening its performance drastically.
In this paper, we propose a methodology to estimate this imparted vibration and to design feedforward controllers for the voice coil motor and the micro actuator, of the track following actuator, to suppress the estimated vibration. The vibration estimation is performed using power spectral factorization techniques. Whereas, the feedforward controllers are designed using a mixed H2 – H∞ data driven methodology to obtain a robust design.
A New Approach to Model Constant Curvature Continuum Robot Dynamics
Authors: Liu Yujiong , Ben-Tzvi Pinhas 
Published: November 2019

Abstract
Inspired by nature, continuum robots show their potential in human-centered environments due to the compliant-to-obstacle features and dexterous mobility. However, there are few such robots successfully implemented outside the laboratory so far. One reason is believed to be due to the real time control challenge for soft robots, which require a highly efficient, highly accurate dynamic model. This paper presents a new systematic methodology to formulate the dynamics of constant curvature continuum robots. The new approach builds on several new techniques: 1) using the virtual work principle to formulate the equation of motion, 2) using specifically selected kinematic representations to separate integral variables from the non-integral variables, and 3) using vector representations to put the integral in a compact form. By doing so, the hard-to-solve integrals are evaluated analytically in advance and the accurate inverse dynamics are established accordingly. Numerical simulations are conducted to evaluate the performances of the newly proposed model.
Magnetically Actuated Artificial Microswimmers As Mobile Microparticle Manipulators
Authors: Buzhardt Jake , Tallapragada Phanindra 
Published: November 2019

Abstract
Publisher’s Note:
This paper was selected for publication in ASME Letters in Dynamic Systems and Control.
https://www.asmedigitalcollection.asme.org/lettersdynsys/article/doi/10.1115/1.4046581/1075682/Magnetically-Actuated-Artificial-Microswimmers-as
Neural-Based Control of Compliant Foils With Spanwise Flexibility
Authors: Haecker Annika-verena , Carryon Gabriel N. , Tangorra James L. , Sattel Thomas 
Published: November 2019

Abstract
The ability to change the spatial distribution of a compliant foil’s flexural rigidity can enhance the foil’s swimming performance capabilities but pose challenges to neural-based control of these types of foils. The same property that makes these foil’s effective propulsors also makes them challenging to control with a neural oscillator, namely the variation in the mechanical properties will cause the amplitude and phase of the sensory feedback signal to vary depending upon the placement of the sensor. In this study we investigate the effect of sensor placement on the entrainment characteristics of a coupled-system consisting of a neural oscillator driving a series of compliant foils with spanwise flexibility (i.e. spatially varying mechanical properties in the dorsal-ventral direction). We find that acquiring sensory feedback from the foil’s stiff region produces a broader range of frequencies over which entrainment occurs compared to acquiring feedback from the compliant region of a foil. Additionally, we characterize the thrust and lift forces generated by spanwise foils as a function of the foil’s flapping frequency and flexural rigidity.
Energy Optimal Routing of a Delivery Vehicle Fleet With Diverse Powertrains
Authors: Arasu Mukilan T. , Anwar Hamza , Ahmed Qadeer , Rizzoni Giorgio 
Published: November 2019

Abstract
In this paper, an algorithm framework is developed to find energy-optimal routes for a mixed fleet of delivery vehicles. The fleet could be composed of Battery Electric Vehicles (BEVs), Hybrid Electric Vehicles (HEVs), and Internal Combustion Engine-powered conventional Vehicles (ICEVs) operating over the same service area from a common depot. Additionally, in the case of an HEV, the onboard energy management optimization determines the power split between the power sources on the vehicle based on the route information available. The framework presented in this paper takes into account information related to static conditions (such as topography, payload, and driving distance) and dynamic driving conditions (such as traffic incidents and traffic lights). The route optimization can then be done for various cost functions such as energy consumption, operating costs or maximizing goods throughput. The simulation results demonstrate elements of the route planning framework for benchmark grid problems and real-world road maps.
Multi-Physics Dynamic Modeling and Transient Simulation of a Multi-Stage Heat Recovery Steam Generator (HRSG)
Authors: McConnell Jonathan , Das Tuhin , Caesar Andres , Hoy James , Veeravalli Prithvi 
Published: November 2019

Abstract
This paper presents a dynamic model of a three-pressure-stage Heat Recovery Steam Generator (HRSG) system. It is developed on the Siemens T3000 plant monitoring environment. The multi-physics mathematical model captures essential physical phenomena of the HRSG system such as thermodynamics, heat transfer, phase change, fluid dynamics, etc. as well as their couplings. Fast simulation of the dynamic model is achieved and real-time execution is feasible. Aside from heat exchange elements such as economizers and superheaters, the critical components of the model are the high, intermediate, and low pressure boilers. Here, phase transitions and widely different operating pressures pose unique computational challenges and demand accurate modeling of mass and energy balance during unsteady conditions. A two-mode dynamics has been implemented in modeling the boilers. The model switches between these modes during transients. Through collaboration with Siemens Energy Inc., the model’s transient behavior and steady values have been validated with selected transient startup-data from a real HRSG.
Understanding the Role of Microgrid Topology for Decentralized Model-Based Control
Authors: Chu Cheong Matthew K. , Chen Dongmei , Du Pengwei 
Published: November 2019

Abstract
This paper identifies how the topology of a microgrid, particularly with respect to localized power injections, can affect the overall stability of the system. Microgrids are smaller-scale power networks that can disconnect from, and operate independently to, the main grid if necessary; accordingly, distributed and local generation is much more common in these systems. Of these local power sources, a significant proportion interface with the microgrid via inverters, and therefore lack physical inertia. This absence of physical inertia exacerbates the control challenge in a microgrid. These issues motivate the question of how to best control distributed generators to realize grid-wide improvements to power quality. We outline how the placement of controlled distributed generators can result in varying degrees of improved transient behavior, following disturbances to a microgrid. In this resulting simulations and analysis, we find that when the power sources in a microgrid are of varying capacity or rating, then the network topology can have a significant effect on transient performance deterioration. Notably, we find that if even a single a lower rated power source is ‘near’ or adjacent to a grid disturbance, then the microgrid may experience severe harmonic disturbances. In addition, we show that if such sources are controlled with a decentralized optimal controller, rather than a typical droop mechanism, then the overall microgrid performance is significantly improved.
An Improved Small-Scale Connected Autonomous Vehicle Platform
Authors: Wu Xihui , Eskandarian Azim 
Published: November 2019

Abstract
This paper introduces a small-scale platform for Connected Autonomous Vehicle (CAV) research that outperforms currently available commercial options in several important benchmarks. The platform is built around a Radio-Control (RC) car utilizing high-performance brushless DC motors allowing the vehicle to reach a maximum speed of 70mph, expanding the possibilities for higher speed research applications. Furthermore, this platform (named after our lab, ASIMcar, for brevity in this article) is equipped with a robust sensor suite and features a state-of-the-art embedded GPU unit for onboard computation, allowing for real-time control over a wide range of challenging operations. For demonstration and comparison, lane keeping as an Advanced Driving Assistance System (ADAS) function was implemented and evaluated using the platform. The commercially available mobile robots are expensive, offer limited capabilities, are harder to modify for various research needs, are more difficult to interface with other robots (cars), and could have proprietary software/hardware features which render them less flexible and less adaptable to specific research needs. The developed ASIMcar overcomes these limitations and provides a highly flexible and cost-effective alternative for automated/autonomous and connected vehicle research and development projects. This paper provides an in-depth description for the development of this car and lists significant features which will assist other researchers to easily and rapidly duplicate them and create a similar platform for their research.