bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lithium-Ion Batteries’ Energy Efficiency Prediction Using Physics-Based and State-of-the-Art Artificial Neural Network-Based Models
Authors: Nazari Arash , Kavian Soheil , Nazari Ashkan 
Published: June 2020

Abstract
The new generation of lithium-ion batteries (LIBs) possesses considerable energy density that arise the safety concern much more than before. One of the main issues associated with LIB safety is the heat generation and thermal runaway in LIBs. The importance of characterizing the heat generation in LIBs is reflected in numerous studies. The heat generation in LIBs can be related to energy efficiency as well. In this work, the heat generation in LIB is predicted using two different approaches (physics-based and machine learning-based approaches). A validated multiphysics-based and neural network-based models for commercial LIBs with lithium iron phosphate/graphite (LFP/G), lithium manganese oxide/graphite (LMO/G), and lithium cobalt oxide/graphite (LCO/G) electrodes are used to predict the heat generation toward shaping the LIB energy efficiency contours, illustrating the effect of the nominal capacity as a key parameter in the manufacturing process of the LIBs. The developed contours can provide the energy systems designers a comprehensive view over the accurate efficiency of LIBs when they need to incorporate LIBs into their devices. In addition, the effect of temperature on charge/discharge energy efficiency of LFP/graphite LIBs is obtained, and the performance of three typical LIBs in the market at a very low temperature is compared, which have a wide range of applications from consumer applications such as electric vehicles (EVs) to industrial applications such as uninterruptible power sources (UPSes).
Emissions From Oxy-Combustion of Raw and Torrefied Biomass
Authors: Meng Xiaoxiao , Rokni Emad , Zhou Wei , Qi Hongliang , Sun Rui , Levendis Yiannis A. 
Published: June 2020

Abstract
This work assesses the evolution of acid gases from raw and torrefied biomass (distiller’s dried grains with solubles and rice husk) combustion in conventional (air) and simulated oxy-combustion (oxygen/carbon dioxide) environments. Emphasis was placed on the latter, as oxy-combustion of renewable or waste biomass, coupled with carbon capture and utilization or sequestration, could be a benefit toward mitigating global warming. The oxy-combustion environments were set to 21%O2/79%CO2 and 30%O2/70%CO2. Results revealed that combustion of either raw or torrefied biomass generated CO2 emissions that were lower in 21%O2/79%CO2 than at 30%O2/70%CO2, whereas CO emissions exhibited the opposite trend. Emissions of CO from combustion in air were drastically lower than those in the two oxy-combustion environments and those in 21%O2/79%CO2 were the highest. Emissions of NO followed the same trend as those of CO2, while HCN emissions followed the same trend as those of CO. Emissions of NO were higher than those of HCN. The emissions of SO2 were lower in oxy-combustion than in air combustion. Moreover, combustion of torrefied biomass generated higher CO2 and NO, comparable CO and SO2, and lower HCN emissions than combustion of raw biomass. Out of the three conditions tested in this study, oxy-combustion of biomass, either in the raw and torrefied state, attained the highest combustion effectiveness and caused the lowest CO, HCN, and SO2 emissions when the gas composition was 30%O2/70%CO2.
High Temperature Solar Linear Receiver Enclosed in a Reflecting Elliptic Cavity
Authors: Grena Roberto , Lanchi Michela , Turchetti Luca , Crescenzi Tommaso 
Published: June 2020

Abstract
A linear receiver able to achieve temperatures up to 800 °C is presented. The high-temperature resistance is achieved by avoiding critical aspects (vacuum, glass-metal joints, surface films) that limit the temperature in usual receivers; the thermal insulation is obtained by enclosing the receiver tube in an elliptic reflecting cavity. The tube is placed near a focus of the cavity, and the primary collector concentrates the radiation on the other focus, where the cavity has a small opening: the ellipse reflects the radiation toward the tube and largely contains the reflected radiation and thermal emission, thus acting both as a secondary reflector and as a cavity receiver. Optical and thermal simulations show that temperatures up to 800 °C can be achieved, with optical efficiency above 70% and thermal efficiency in the range 45–85% for temperatures in the range 500–800 °C; the local overall efficiency ranges from about 40% to 66%, depending on the receiver tube emissivity and fluid temperature. In this way, the field of applicability of the linear collector technology can be significantly extended to include a vast amount of processes such as thermochemical cycles for hydrogen production, and solar fuel production processes, which require temperatures above 700 °C.
Downstream Computer-Aided Design, Engineering, and Manufacturing Integration Using Exchangeable Persistent Identifiers in Neutral Re-imported Computer-Aided Design Models
Authors: Jauhar Tahir Abbas , Han Soonhung , Kwon Soonjo 
Published: June 2020

Abstract
Computer-aided design, engineering, and manufacturing (CAx) have improved product design and development. The associativity of revised design in native files for downstream applications, assembly design, finite element analysis, and numerical control (NC) manufacturing has been supported by homogeneous CAx systems. However, heterogeneous CAx environments have issues when neutral models are revised and re-imported because the required identification information is missing. This results in a problem of the associativity of neutral models. In this study, different computer-aided design (CAD) applications have been analyzed with respect to their capabilities for import and export of neutral models with identification information. A tool has been selected to demonstrate the key findings. Moreover, future directions have been discussed to solve associativity issues in design re-import based on neutral models.
Optimal Sequence Planning for Robotic Sorting of Recyclables From Source-Segregated Municipal Solid Waste
Authors: Gundupalli Sathish Paulraj , Shukla Rishabh , Gupta Rohit , Hait Subrata , Thakur Atul 
Published: June 2020

Abstract
Sorting of recyclables from source-segregated municipal solid waste (MSW) stream is an essential step in the recycling chain in a material recovery facility (MRF) for waste management. Manual sorting of recyclables in an MRF is a highly hazardous operation for human health as well as time-consuming. Application of robotics for automated waste sorting can alleviate these problems to a large extent. The total sorting time depends upon the pick-and-place (PAP) sequence used in a robotic sorting system. In this context, the generation of optimal PAP sequence plan is a key challenge considering that it cannot be solved by an exhaustive search due to the combinatorial explosion of the search space. This paper reports an approach for generating optimal PAP sequence plan for robotic sorting of recyclables from source-segregated MSW stream in a system equipped with thermal-imaging technique. The PAP sequence generation is formulated as an optimization problem wherein the objective is to minimize the total sorting time. The formulated problem has been solved using a genetic algorithm (GA)-based approach. Numerical simulations as well as physical experiments using a 6 degrees-of-freedom (DOF) articulated manipulator have been performed to test and validate the developed optimal sequence generation algorithm. Results revealed an improvement of up to 4.28% speedup in total sorting time over that of randomly generated sequences. It is envisaged that the developed approach can substantially improve the sorting performance in an MRF.
MVCNN++: Computer-Aided Design Model Shape Classification and Retrieval Using Multi-View Convolutional Neural Networks
Authors: Angrish Atin , Bharadwaj Akshay , Starly Binil 
Published: June 2020

Abstract
Deep neural networks (DNNs) have been successful in classification and retrieval tasks of images and text, as well as in the graphics domain. However, these DNNs algorithms do not translate to 3D engineering models used in the product design and manufacturing. This paper studies the use of multi-view convolutional neural network (MVCNN) algorithm enhanced by the addition of engineering metadata, for classification and retrieval of 3D computer-aided design (CAD) models. The proposed algorithm (MVCNN++) builds on the MVCNN algorithm with the addition of part dimension data, improving its efficacy for manufacturing part classification and yielding an improvement in classification accuracy of 5.8% over the original version. Unlike datasets used for 3D shape classification and retrieval in the computer graphics domain, engineering level description of 3D CAD models do not yield themselves to neat, distinct classes. Techniques such as relaxed-classification and prime angled cameras for capturing feature detail were used to address training data capture issues specific to 3D CAD models, along with the use of transfer learning to reduce training time. Our study has shown that DNNs can be used to search and discover relevant 3D engineering models in large public repositories, making 3D models accessible to the community.
Experiments on the Identification of the Onset of Buoyancy-Driven Convection in High Aspect Ratio Top Open Cavities
Authors: Saxena Ashish , Srivastava Atul , Singh Suneet 
Published: June 2020

Abstract
Experimental analysis of the onset of buoyancy-driven convection in a top facing high aspect ratio cavity is reported. Bottom surface of the cavity is heated, with its two vertical side walls being insulated. Thermal field in the cavity has been non-intrusively mapped using a Mach–Zehnder interferometer. The cavity has been subjected to two different temperature differences, ΔT = 3 °C (Ra ≃ 300) and ΔT = 15 °C (Ra ≃ 1400). Sudden change in the heat transfer coefficient as well as the formation of thermally stratified layers at the bottom part of the cavity was not observed for the applied cavity temperature differences, which in turn, indicates that there is no such phenomenon of onset of buoyancy-driven convection in high aspect ratio cavities. Corner flow, induced due to the temperature difference between the atmosphere and the cavity, is the dominant flow inside the cavity. Almost identical profiles of flow in both the cases of the applied temperature potentially signify that the flow profile is independent of the Rayleigh number or the temperature differences. These observations have been supported by whole field temperature distribution profiles, spatial distributions of local Nusselt number, and nondimensional temperature at different position of the cavity.
Design and Error Evaluation of Planar 2DOF Remote Center of Motion Mechanisms With Cable Transmissions
Authors: Huang Long , Yin Lairong , Liu Bei , Yang Yang 
Published: June 2020

Abstract
In a minimally invasive surgical (MIS) robot, the remote center of motion (RCM) mechanism is usually used to realize the constrained motion of the surgical instrument. In this paper, a novel design method for planar 2DOF RCM mechanisms is proposed based on closed-loop cable transmissions. The concept is to utilize several coupled cable transmissions to constrain a serial kinematic chain. Through the analysis and determination of the transmission ratios for these cable transmissions, a class of planar 2DOF RCM mechanisms without any active or passive translational joints is obtained, which provides large workspace and low collision risk for the MIS robots. One of the resulting mechanisms is designed in detail and kinematically analyzed. To evaluate the influence of the elastic cables, a new error model for the proposed RCM mechanism is established through the static analysis and cable deformation analysis. Utilizing this model, the cable-induced error distributions of the tip and the RCM point are obtained, which show that these errors are within a relatively small range. Furthermore, the prototype of the proposed mechanism is built, and the accuracy experiments are conducted.
Intrabasinal sediment recycling from detrital strontium isotope stratigraphy
Authors: Auchter Neal C. , Romans Brian W. , Hubbard Stephen M. , Daniels Benjamin G. , Scher Howie D. , Buckley Wayne 
Published: June 2020

Abstract
Temporary storage of sediment between source and sink can hinder reconstruction of climate and/or tectonic signals from stratigraphy by mixing of sediment tracers with diagnostic geochemical or geochronological signatures. Constraining the occurrence and timing of intrabasinal sediment recycling has been challenging because widely used detrital geo-thermochronology applications do not record shallow burial and subsequent reworking. Here, we apply strontium isotope stratigraphy techniques to recycled marine shell material in slope deposits of the Upper Cretaceous Tres Pasos Formation, Magallanes Basin, Chile. Detrital 87Sr/86Sr ages from 94 samples show that the majority (&gt;85%) of the shells are &gt;1–12 m.y. older than independently constrained depositional ages. We interpret the gap between mineralization age (87Sr/86Sr age) and depositional age of host strata to represent the intrabasinal residence time of sediment storage at the million-year time scale. We also use specimen type to infer relative position of intrabasinal source material along the depositional profile, where oysters represent shallow-water (i.e., proximal) sources and inoceramids represent deeper-water (i.e., distal) sources. The combined use of detrital strontium isotope ages and specimen types from linked depositional segments provides an opportunity to identify and quantify sediment storage and recycling in ancient source-to-sink systems.
Addition of arterial spin-labelled MR perfusion to conventional brain MRI: clinical experience in a retrospective cohort study
Authors: Belani Puneet , Kihira Shingo , Pacheco Felipe , Pawha Puneet , Cruciata Giuseppe , Nael Kambiz 
Published: June 2020

ObjectiveThe usage of arterial spin labelling (ASL) perfusion has exponentially increased due to improved and faster acquisition time and ease of postprocessing. We aimed to report potential additional findings obtained by adding ASL to routine unenhanced brain MRI for patients being scanned in a hospital setting for various neurological indications.DesignRetrospective.SettingLarge tertiary hospital.Participants676 patients.Primary outcomeAdditional findings from ASL sequence compared with conventional MRI.ResultsOur patient cohorts consisted of 676 patients with 257 with acute infarcts and 419 without an infarct. Additional findings from ASL were observed in 13.9% (94/676) of patients. In the non-infarct group, additional findings from ASL were observed in 7.4% (31/419) of patients, whereas in patients with an acute infarct, supplemental information was obtained in 24.5% (63/257) of patients.ConclusionThe addition of an ASL sequence to routine brain MRI in a hospital setting provides additional findings compared with conventional brain MRI in about 7.4% of patients with additional supplementary information in 24.5% of patients with acute infarct.
Implementation of colorectal cancer screening interventions in low-income and middle-income countries: a scoping review protocol
Authors: Schliemann Désirée , Matovu Nicholas , Ramanathan Kogila , Muñoz-Aguirre Paloma , O'Neill Ciaran , Kee Frank , Su Tin Tin , Donnelly Michael 
Published: June 2020

IntroductionColorectal cancer (CRC) imposes a significant global burden of disease. CRC survival rates are much lower in low-income and middle-income countries (LMICs). Screening tends to lead to an improvement in cancer detection and the uptake of available treatments and, in turn, to better chances of cancer survival. Most evidence on CRC screening interventions comes from high-income countries. The objective of this scoping review is to map the available literature on the implementation of CRC screening interventions in LMICs.Methods and analysisWe will conduct a scoping review according to the framework proposed by Arksey and O’Malley (2005). We will search MEDLINE, EMBASE, Web of Science and Google Scholar using a combination of terms such as “colorectal cancer”, “screening” and “low-middle-income countries”. Studies of CRC screening interventions/programmes conducted in the general adult population in LMICs as well as policy reviews (of interventions in LMICs) and commentaries on challenges and opportunities of delivering CRC screening in LMICs, published in the English language before February 2020 will be included in this review. The title and abstract screen will be conducted by one reviewer and two reviewers will screen full-texts and extract data from included papers, independently, into a data charting template that will include criteria from an adapted template for intervention description and replication checklist and implementation considerations. The presentation of the scoping review will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews guidance.Ethics and disseminationThere are no ethical concerns. The results will be used to inform colorectal screening interventions in LMICs. We will publish the findings in a peer-reviewed journal and present them at relevant conferences.
Numerical analysis of effective refractive index bio-sensor based on graphene-embedded slot-based dual-micro-ring resonator
Authors: Zhao C. Y. , Chen P. Y. , Li P. Y. , Zhang C. M. 
Published: June 2020

We propose a novel bio-sensor structure composed of slot dual-micro-ring resonators and mono-layer graphene. Based on the electromagnetically induced transparency (EIT)-like phenomenon and the light-absorption characteristics of graphene, we present a theoretical analysis of transmission by using the coupled mode theory and Kubo formula. The results demonstrate the EIT-like spectrum with asymmetric line profile. The mode-field distributions of transmission spectrum are obtained from 3D simulations based on finite-difference time-domain (FDTD) method. Our bio-sensor exhibits theoretical sensitivity of 330 nm/RIU, a minimum detection limit of [Formula: see text] RIU, the maximum extinction ratio of 4.4 dB, the quality factor of [Formula: see text] and a compact structure of [Formula: see text]. Finally, the bio-sensor’s performance is simulated for glucose solution. Our proposed design provides a promising candidate for on-chip integration with other silicon photonic element.
EasyAmber: A comprehensive toolbox to automate the molecular dynamics simulation of proteins
Authors: Suplatov Dmitry , Sharapova Yana , Švedas Vytas 
Published: June 2020

Conformational plasticity of the functionally important regions and binding sites in protein/enzyme structures is one of the key factors affecting their function and interaction with substrates/ligands. Molecular dynamics (MD) can address the challenge of accounting for protein flexibility by predicting the time-dependent behavior of a molecular system. It has a potential of becoming a particularly important tool in protein engineering and drug discovery, but requires specialized training and skills, what impedes practical use by many investigators. We have developed the easyAmber — a comprehensive set of programs to automate the molecular dynamics routines implemented in the Amber package. The toolbox can address a wide set of tasks in computational biology struggling to account for protein flexibility. The automated workflow includes a complete set of steps from the initial “static” molecular model to the MD “production run”: the full-atom model building, optimization/equilibration of the molecular system, classical/conventional and accelerated molecular dynamics simulations. The easyAmber implements advanced MD protocols, but is highly automated and easy-to-operate to attract a broad audience. The toolbox can be used on a personal desktop station equipped with a compatible gaming GPU-accelerator, as well as help to manage huge workloads on a powerful supercomputer. The software provides an opportunity to operate multiple simulations of different proteins at the same time, thus significantly increasing work efficiency. The easyAmber takes the molecular dynamics to the next level in terms of usability for complex processing of large volumes of data, thus supporting the recent trend away from inefficient “static” approaches in biology toward a deeper understanding of the dynamics in protein structures. The software is freely available for download at https://biokinet.belozersky.msu.ru/easyAmber, no login required.
Thriving in a crowded and changing world: C++ 2006–2020
Authors: Stroustrup Bjarne 
Published: June 2020

By 2006, C++ had been in widespread industrial use for 20 years. It contained parts that had survived unchanged since introduced into C in the early 1970s as well as features that were novel in the early 2000s. From 2006 to 2020, the C++ developer community grew from about 3 million to about 4.5 million. It was a period where new programming models emerged, hardware architectures evolved, new application domains gained massive importance, and quite a few well-financed and professionally marketed languages fought for dominance. How did C++ -- an older language without serious commercial backing -- manage to thrive in the face of all that?
This paper focuses on the major changes to the ISO C++ standard for the 2011, 2014, 2017, and 2020 revisions. The standard library is about 3/4 of the C++20 standard, but this paper's primary focus is on language features and the programming techniques they support.
The paper contains long lists of features documenting the growth of C++. Significant technical points are discussed and illustrated with short code fragments. In addition, it presents some failed proposals and the discussions that led to their failure. It offers a perspective on the bewildering flow of facts and features across the years. The emphasis is on the ideas, people, and processes that shaped the language.
Themes include efforts to preserve the essence of C++ through evolutionary changes, to simplify its use, to improve support for generic programming, to better support compile-time programming, to extend support for concurrency and parallel programming, and to maintain stable support for decades' old code.
The ISO C++ standard evolves through a consensus process. Inevitably, there is competition among proposals and clashes (usually polite ones) over direction, design philosophies, and principles. The committee is now larger and more active than ever, with as many as 250 people turning up to week-long meetings three times a year and many more taking part electronically. We try (not always successfully) to mitigate the effects of design by committee, bureaucratic paralysis, and excessive enthusiasm for a variety of language fashions.
Specific language-technical topics include the memory model, concurrency and parallelism, compile-time computation, move-semantics, exceptions, lambda expressions, and modules. Designing a mechanism for specifying a template's requirements on its arguments that is sufficiently flexible and precise yet doesn't impose run-time costs turned out to be hard. The repeated attempts to design ``concepts'' to do that have their roots back in the 1980s and touch upon many key design issues for C++ and for generic programming.
The description is based on personal participation in the key events and design decisions, backed by the thousands of papers and hundreds of meeting minutes in the ISO C++ standards committee's archives.