bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sequence-Dependent Robotic Disassembly Line Balancing Problem Considering Disassembly Path
Authors: Chen Qinglian , Yao Bitao , Pham Duc Truong 
Published: January 2021

Abstract
For the realization of environmental protection and resource conservation, remanufacturing is of great significance. Disassembly is a key step in remanufacturing, the disassembly line system is the main scenario for product disassembly, usually consisting of multiple workstations, and has prolific productivity. The application of the robots in the disassembly line will eliminate various problems caused by manual disassembly. Moreover, the disassembly line balancing problem (DLBP) is of great importance for environmental remanufacturing. In the past, disassembly work was usually done manually with high cost and relatively low efficiency. Therefore, more and more researches are focusing on the automatic DLBP due to its high efficiency. This research solves the sequence-dependent robotic disassembly line balancing problem (SDRDLBP) with multiple objectives. It considers the sequence-dependent time increments and requires the generated feasible disassembly sequence to be assigned to ordered disassembly workstations according to the specific robotic workstation assignment method. In robotic DLBP, due to the special characteristics of robotic disassembly, we need to consider the moving time of the robots’ disassembly path during the disassembly process. This is also the first time to consider sequence-dependent time increments while considering the disassembly path of the robots. Then with the help of crossover and mutation operators, multi-objective evolutionary algorithms (MOEAs) are proposed to solve SDRDLBP. Based on the gear pump model, the performance of the used algorithm under different cycle times is analyzed and compared with another two algorithms. The average values of the HV and IGD indicators have been calculated, respectively. The results show the NSGA-II algorithm presents outstanding performance among the three MOEAs, and hence demonstrate the superiority of the NSGA-II algorithm.
Design Framework for Preparing Workforce Towards Industry 4.0 Implementation in Small and Medium-Sized Enterprises
Authors: James Sagil , Shetty Anupam 
Published: January 2021

Abstract
The fourth industrial revolution, also known as Industry 4.0 is a new paradigm that is significantly influencing several manufacturing industries across the globe. Industry 4.0 synchronizes concepts such as Smart Manufacturing, Smart Factory, and the Internet of Things with existing factory automation technologies in order to improve value in manufacturing by monitoring key performance indicators and creates value in all manufacturing related aspects. Currently, several large companies industries have started early initiatives for implementing these technologies. However, small and medium-sized enterprises (SMEs) face massive challenges in adopting Industry 4.0 technologies. As the SMEs are evaluating their readiness for implementing the Industry 4.0 concepts, several challenges need to be addressed, including high initial investment, lack of standardization, data security, and lack of skilled labor. A strategic roadmap towards implementing the Industry 4.0 paradigms is still unclear in the SME sector as well as in academia. This research focuses on designing a framework for training/retraining the strong workforce for SMEs to enable Industry 4.0 adoption and implementation. The framework is created using qualitative research methods followed by the secondary data collection approach. The study suggests the use of a three-step implementation process consisting of 1) creating new jobs, 2) recruiting, and 3) retraining and retaining the talent. The results of this study are expected to create a platform to train the workforce for Industry 4.0, reduce skill gaps, and retain incumbent workers in the manufacturing sector.
IoT Devices and Applications for Wire-Based Hybrid Manufacturing Machine Tools
Authors: Thien Austen , Saldana Christopher J. , Feldhausen Thomas , Kurfess Thomas 
Published: January 2021

Abstract
Hybrid manufacturing machine tools have the potential to be a disruptive technology as they can leverage the benefits of both additive and subtractive manufacturing by incorporating both processes on the same machine while limiting the downsides of the individual processes. Since these machines use two very disparate manufacturing processes and hybrid manufacturing is an emerging technology, it will be useful to monitor data coming from the machine and apply it to improve the manufacturing process, the operation of the machine, and to integrate the machine into the larger digital framework of Industrial Internet of Things (IoT). The present work discusses IoT devices that would be beneficial to add to a hybrid machine tool as well as applications for those devices. The proposed methods discussed in this work have not been experimentally implemented on a hybrid machine tool and so there are no performance data available yet. The hybrid machine tool used as a basis to generate these IoT applications is the Mazak VC-500A/5x AM Hot Wire Deposition, which is a 5-axis machine tool incorporated with a wire feedstock 4kW laser deposition system. Methodologies and applications will be outlined for machine health and process monitoring. Other areas covered include process benchmarking, secure networking options for the proposed IoT framework, and hybrid process improvement. Limitations of these methods and future work for new sensor devices and application areas is also discussed.
Initial Process Planning of a Hybrid Multi-Tasking Platform
Authors: DeWitte Lisa N. , Saldana Christopher J. , Feldhausen Thomas A. , Kurfess Thomas R. 
Published: January 2021

Abstract
Applications of hybrid technology are expanding from refurbishment and repair to low quantity, specialty part production, which are staple characteristics in medical implant, energy, and aerospace industry sectors, among others. This expansion has led to the development of the Mazak VC-500A/5X AM HWD, a wire fed laser cladding unit equipped with a standard 5 axis CNC. This unit is capable of building near net geometry of complex medium to large parts within a profitable timeframe, due to its comparatively high rate of deposition to that of a powder fed hybrid system. In this study, deposition and machining capabilities of the VC-500A/5X AM HWD are assessed through the production of three different test geometries by different process plans. Production of these test geometries is supported by an open loop sensor package primarily for monitoring machine health, data collection, and machine operator aid. The viability of extended deposition followed by machining is evaluated against a more cyclical strategy of reoccurring deposition and machining operations. Lastly, common defects in as-built geometries are evaluated and addressed through revisions to original process plans and toolpaths, indicating the need for continued innovation in hybrid manufacturing specific CAM/CAD software, as well as closed loop machine monitoring and quality control.
Laser Engineered Net Shaping In-Situ Synthesis of NiTi Alloy: Effects of Processing Parameters
Authors: Zhang Dongzhe , Li Yunze , Wang Hui , Cong Weilong 
Published: January 2021

Abstract
Nickel-Titanium (NiTi) alloy is difficult to be machined and fabricated due to its properties of rapid work-hardening and superelasticity. Traditional manufacturing methods, such as casting, vacuum arc melting, and hot-isostatic pressing, have disadvantages of high cost, time-consuming, and limitation in the complexity of parts’ fabrication. In order to reduce or solve these problems, laser additive manufacturing methods have been studied in the fabrication of NiTi alloy. Among the investigations, laser engineered net-shaping (LENS) in-situ synthesis of NiTi from blended Ni and Ti powders shows its unique advantage of cost-effectiveness and flexibility in tailoring NiTi’s phase transformation properties. In addition, it is reported that LENS in-situ synthesized NiTi parts have comparable properties with NiTi alloys fabricated from pre-alloyed powders. However, there are no existing investigations on the effects of processing parameters on the mechanical properties of the LENS in-situ fabricated NiTi parts. The processing parameters would have great influences on the properties of the LENS in-situ synthesized NiTi parts. This paper, for the first time, reports the effects of laser power, powder feeding rate, and Z increment of the deposition head on microstructure, microhardness, and Young’s modulus of the LENS in-situ synthesized NiTi parts.
The Effect of Assembly Instructions and Part Organization on Assembly Time and Process Variation
Authors: Wescoat Ethan , Krugh Matthew , Krishnan Gayathry , Mears Laine 
Published: January 2021

Abstract
In mass production, planning for customized products is difficult to achieve against the effort toward standardization of parts and processes. In a complex product such as a vehicle, varying an entire subassembly multiple times per shift increases the margin of error for defects and slows the production rate. To understand the effect of assembly instructions and part organization on assembly time as a result of process variation, this study examines building different subassemblies of two different models to simulate a customized production line. Assembly time is measured while varying the work instructions, part organization, and subassembly type, and relationships among these variables drawn. Picture instructions result in shorter assembly times for all subassemblies, while line configurations for shape and color part organization have the shortest assembly times. However, only picture instructions for two out of four subassemblies show a statistically significant effect on lowering assembly time characterized by a p-value below 0.1. Based on a linear model, total product assembly time is predicted within a 20% margin of error, based on which subassemblies are built and instructions used. Based on these preliminary tests, a better experimental plan is needed to isolate test variables for model creation. In addition, more experimental data is required to improve the statistical significance of the results. A heavier emphasis should be placed on the cognitive factors of the assembler in assembly production planning.
Outcomes of a uniformly active approach to infants born at 22–24 weeks of gestation
Authors: Söderström Fanny , Normann Erik , Jonsson Maria , Ågren Johan 
Published: January 2021

ObjectiveTo determine survival and outcomes in infants born at 22–24 weeks of gestation in a centre with a uniformly active approach to management of extremely preterm infants.Study designSingle-centre retrospective cohort study including infants born 2006–2015. Short-term morbidities assessed included retinopathy of prematurity, necrotising enterocolitis, patent ductus arteriosus, intraventricular haemorrhage, periventricular malacia and bronchopulmonary dysplasia. Neurodevelopmental outcomes assessed included cerebral palsy, visual impairment, hearing impairment and developmental delay.ResultsTotal survival was 64% (143/222), ranging from 52% at 22 weeks to 70% at 24 weeks. Of 133 (93%) children available for follow-up at 2.5 years corrected age, 34% had neurodevelopmental impairment with 11% classified as moderately to severely impaired. Treatment-requiring retinopathy of prematurity, severe bronchopulmonary dysplasia, visual impairment and developmental delay correlated with lower gestational age.ConclusionsA uniformly active approach to all extremely preterm infants results in survival rates that are not distinctly different across the gestational ages of 22–24 weeks and more than 50% survival even in infants at 22 weeks. The majority were unimpaired at 2.5 years, suggesting that such an approach does not result in higher rates of long-term adverse neurological outcome.
Indirect effects of the COVID-19 pandemic on paediatric healthcare use and severe disease: a retrospective national cohort study
Authors: Williams Thomas C , MacRae Clare , Swann Olivia V , Haseeb Haris , Cunningham Steve , Davies Philip , Gibson Neil , Lamb Christopher , Levin Richard , McDougall Catherine M , McFadzean Jillian , Piper Ian , Turner Alastair , Turner Stephen W , Van Dijke Margrethe , Urquhart Donald S , Guthrie Bruce , Langley Ross J 
Published: January 2021

ObjectivesTo determine the indirect consequences of the COVID-19 pandemic on paediatric healthcare utilisation and severe disease at a national level following lockdown on 23 March 2020.DesignNational retrospective cohort study.SettingEmergency childhood primary and secondary care providers across Scotland; two national paediatric intensive care units (PICUs); statutory death records.Participants273 455 unscheduled primary care attendances; 462 437 emergency department attendances; 54 076 emergency hospital admissions; 413 PICU unplanned emergency admissions requiring invasive mechanical ventilation; and 415 deaths during the lockdown study period and equivalent dates in previous years.Main outcome measuresRates of emergency care consultations, attendances and admissions; clinical severity scores on presentation to PICU; rates and causes of childhood death. For all data sets, rates during the lockdown period were compared with mean or aggregated rates for the equivalent dates in 2016–2019.ResultsThe rates of emergency presentations to primary and secondary care fell during lockdown in comparison to previous years. Emergency PICU admissions for children requiring invasive mechanical ventilation also fell as a proportion of cases for the entire population, with an OR of 0.52 for likelihood of admission during lockdown (95% CI 0.37 to 0.73), compared with the equivalent period in previous years. Clinical severity scores did not suggest children were presenting with more advanced disease. The greatest reduction in PICU admissions was for diseases of the respiratory system; those for injury, poisoning or other external causes were equivalent to previous years. Mortality during lockdown did not change significantly compared with 2016–2019.ConclusionsNational lockdown led to a reduction in paediatric emergency care utilisation, without associated evidence of severe harm.
OCT-angiography detects longitudinal microvascular changes in glaucoma: a systematic review
Authors: Miguel Ana , Silva André , Barbosa-Breda Joao , Azevedo Luis , Abdulrahman Abdulkarim , Hereth Esther , Abegão Pinto Luis , Lachkar Yves , Stalmans Ingeborg 
Published: January 2021

Background/aimsOptical coherence tomography angiography (OCTA) allows the study of vessel density (VD). We intended to perform a systematic review of studies focusing on longitudinal changes in peripapillary and macular VD measurements in glaucoma.MethodsA search was performed across MEDLINE, Scopus, ISI Web of Science and Google Scholar, using the following query from inception until 20 September 2019: ((“optical coherence tomography angiography”[tiab]) OR (optical coherence tomography angiography[MeSH]) OR (“OCTA”[tiab]) OR (“OCT-A”[tiab]) OR (“angio-OCT”[tiab]) OR (“OCT- angiography”[tiab]) OR (“OCT-angio”[tiab]) OR (“OCT-angiographie”[tiab])) AND (glaucom*[tiab] OR glaucoma[MeSH]). Prospective studies that quantitatively assessed the longitudinal changes in VD in glaucoma with at least 3 months of follow-up were included.ResultsTen out of 4516 studies were included. The rate of VD change in glaucoma varied from 0.036/year to 1.08/year and 1.3% to 3.2% per year, with significantly different rates between glaucoma and healthy controls. Five studies assessed VD change after glaucoma surgery, obtaining variable results, ranging from a temporary VD decrease to increase after 3 months. Meta-analysis was not possible due to a wide variation in methods, measurements and region of VD.ConclusionOCTA is a non-invasive technology, which shows promise in glaucoma. Measures should be taken to increase the quality and standardise the methodology of VD measures in OCTA longitudinal studies, for future meta-analyses.
Effect of the vancomycin minimum inhibitory concentration on clinical outcomes in patients with methicillin-susceptible Staphylococcus aureus bacteraemia: a systematic review and meta-analysis
Authors: Shi Changcheng , Ye Jian , Xu Renjie , Jin Weizhong , Xu Shuang , Teng Fei , Lin Nengming 
Published: January 2021

ObjectiveThe use of the vancomycin minimum inhibitory concentration (MIC) as a prognostic predictor in patients with methicillin-susceptible Staphylococcus aureus (MSSA) has been debated in the last decade. We performed a systematic review and meta-analysis to investigate whether an elevated vancomycin MIC is associated with a worse prognosis for patients with MSSA bacteraemia.DesignSystematic review and meta-analysis.Data sourcesPubMed, Embase and the Cochrane Library were searched from inception to December 2019.Eligibility criteriaRandomised controlled trials or observational studies were considered eligible if they provided clinical outcomes of patients with MSSA bacteraemia, stratified by vancomycin MIC.Data synthesisPrimary outcome was mortality. Secondary outcomes included septic thrombophlebitis, persistent bacteraemia and complicated bacteraemia. Pooled ORs and 95% CIs were calculated. Subgroup analyses included the susceptibility testing method.ResultsFifteen observational studies were included. Bacteraemia due to MSSA isolates with high vancomycin MICs was associated with higher mortality than isolates with low MICs (OR 1.44; 95% CI 1.12 to 1.84; I2=40.3%). Additionally, significantly greater septic thrombophlebitis (OR 3.16; 95% CI 1.11 to 9.00; I2=58.6%) and a trend towards more persistent bacteraemia (OR 1.79; 95% CI 0.97 to 3.31; I2=0%) were observed in patients with high vancomycin MICs than in patients with low MICs. Differences in complicated bacteraemia were not significant. Similar findings were obtained in subgroup analyses using Etest. However, significant differences in outcomes were not observed between the high and low vancomycin MICs detected using broth microdilution.ConclusionThe available data suggest an association between elevated vancomycin MICs detected using Etest and adverse clinical outcomes for patients with MSSA bacteraemia. Future studies should validate these findings and explore the potential mechanisms.PROSPERO registration numberCRD42018090547.
A patient–clinician James Lind Alliance partnership to identify research priorities for hyperemesis gravidarum
Authors: Dean Caitlin R , Bierma Hyke , Clarke Ria , Cleary Brian , Ellis Patricia , Gadsby Roger , Gauw Norah , Lodge Karen , MacGibbon Kimber , McBride Marian , Munro Deirdre , Nelson-Piercy Catherine , O'Hara Margaret , Penny Helen , Shorter Katherine , Spijker René , Trovik Jone , Watford Emma , Painter Rebecca C 
Published: January 2021

ObjectiveThere are many uncertainties surrounding the aetiology, treatment and sequelae of hyperemesis gravidarum (HG). Prioritising research questions could reduce research waste, helping researchers and funders direct attention to those questions which most urgently need addressing. The HG priority setting partnership (PSP) was established to identify and rank the top 25 priority research questions important to both patients and clinicians.MethodsFollowing the James Lind Alliance (JLA) methodology, an HG PSP steering group was established. Stakeholders representing patients, carers and multidisciplinary professionals completed an online survey to gather uncertainties. Eligible uncertainties related to HG. Uncertainties on nausea and vomiting of pregnancy and those on complementary treatments were not eligible. Questions were verified against the evidence. Two rounds of prioritisation included an online ranking survey and a 1-hour consensus workshop.Results1009 participants (938 patients/carers, 118 professionals with overlap between categories) submitted 2899 questions. Questions originated from participants in 26 different countries, and people from 32 countries took part in the first prioritisation stage. 66 unique questions emerged, which were evidence checked according to the agreed protocol. 65 true uncertainties were narrowed via an online ranking survey to 26 unranked uncertainties. The consensus workshop was attended by 19 international patients and clinicians who reached consensus on the top 10 questions for international researchers to address. More patients than professionals took part in the surveys but were equally distributed during the consensus workshop. Participants from low-income and middle-income countries noted that the priorities may be different in their settings.ConclusionsBy following the JLA method, a prioritised list of uncertainties relevant to both HG patients and their clinicians has been identified which can inform the international HG research agenda, funders and policy-makers. While it is possible to conduct an international PSP, results from developed countries may not be as relevant in low-income and middle-income countries.
Prospective cohort study of children with suspected SARS-CoV-2 infection presenting to paediatric emergency departments: a Paediatric Emergency Research Networks (PERN) Study Protocol
Authors: Funk Anna L. , Florin Todd A. , Dalziel Stuart R. , Mintegi Santiago , Salvadori Marina I. , Tancredi Daniel Joseph , Neuman Mark I. , Payne Daniel C. , Plint Amy C. , Klassen Terry P. , Malley Richard , Ambroggio Lilliam , Kim Kelly , Kuppermann Nathan , Freedman Stephen B. 
Published: January 2021

IntroductionRelatively limited data are available regarding paediatric COVID-19. Although most children appear to have mild or asymptomatic infections, infants and those with comorbidities are at increased risk of experiencing more severe illness and requiring hospitalisation due to COVID-19. The recent but uncommon association of SARS-CoV-2 infection with development of a multisystem inflammatory syndrome has heightened the importance of understanding paediatric SARS-CoV-2 infection.Methods and analysisThe Paediatric Emergency Research Network-COVID-19 cohort study is a rapid, global, prospective cohort study enrolling 12 500 children who are tested for acute SARS-CoV-2 infection. 47 emergency departments across 12 countries on four continents will participate. At enrolment, regardless of SARS-CoV-2 test results, all children will have the same information collected, including clinical, epidemiological, laboratory, imaging and outcome data. Interventions and outcome data will be collected for hospitalised children. For all children, follow-up at 14 and 90 days will collect information on further medical care received, and long-term sequelae, respectively. Statistical models will be designed to identify risk factors for infection and severe outcomes.Ethics and disseminationSites will seek ethical approval locally, and informed consent will be obtained. There is no direct risk or benefit of study participation. Weekly interim analysis will allow for real-time data sharing with regional, national, and international policy makers. Harmonisation and sharing of investigation materials with WHO, will contribute to synergising global efforts for the clinical characterisation of paediatric COVID-19. Our findings will enable the implementation of countermeasures to reduce viral transmission and severe COVID-19 outcomes in children.Trial registration numberNCT04330261