bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sensitivity Analysis of Nonlinear Transient Response Based on Perturbation in the Complex Domain
Authors: Cao Zhifu , Fei Qingguo , Jiang Dong , Zhu Rui , Jin Hui 
Published: September 2020

Abstract
Sensitivity analysis of transient response plays a crucial role in structural dynamics optimization. In this paper, the sensitivity analysis method for calculating the first-order derivatives of the nonlinear transient response using the real-imaginary perturbations (RIP) in the complex domain is proposed. Independent design parameters are synchronously perturbed using real and imaginary perturbations, respectively. The complex variable finite element method is employed to compute the complex transient response of the perturbed model. The nonlinear transient response sensitivities with respect to each parameter are obtained by separately extracting the real and imaginary responses. The computational accuracy and efficiency of the proposed method are demonstrated by employing a nonlinear multidegree-of-freedom system and a cantilever beam with nonlinear elastic supports. Results show that the response sensitivity with respect to multiple design parameters is obtained accurately by using the proposed method, the computational efficiency of which is increased compared with the complex variable method (CVM). The stability of the transient response sensitivity is significantly affected by the parameter perturbations in the real and imaginary parts. The RIP-imaginary-based response sensitivity is feasible even for an extremely small perturbation in the imaginary part; the RIP-real-based response sensitivity is stable only within a limited real perturbation range.
Trained Harmonic Balance Method for Parametrically Excited Jeffcott Rotor Analysis
Authors: Ghannad Tehrani Ghasem , Gastaldi Chiara , Berruti Teresa M. 
Published: September 2020

Abstract
Being able to identify instability regions is an important task for the designers of rotating machines. It allows discarding, since the early design stages, those configurations which may lead to catastrophic failures. Instability can be induced by different occurrences such as an unbalanced disk, torsional, and axial forces on the shaft or periodic variation of system parameters known as “parametric excitation.” In this paper, the stability of a Jeffcott rotor, parametrically excited by the time-varying stiffness of the rolling bearings, is studied. The harmonic balance method (HBM) is here applied as an approximate procedure to obtain the well-known “transition curves (TCs)” which separate the stable from the unstable regions of the design parameter space. One major challenge in the HBM application is identifying an adequate harmonic support (i.e., number of harmonics in the Fourier formulation), necessary to produce trustworthy results. A procedure to overcome this issue is here proposed and termed “trained HBM” (THBM). The results obtained by THBM are compared to those computed by Floquet theory, here used as a reference. The THBM proves to be able to produce reliable TCs in a timely manner, compatible with the design process.
Channel Length Influence on the Performance of the Vacuum Membrane Distillation
Authors: Alasiri Abdulaziz M. , Alqsair Umar , Cosman Sertac , Krysko Robert , Oztekin Alparslan 
Published: September 2020

Abstract
The demand for freshwater has been increased globally. Membrane distillation (MD) technique can be an attractive option for desalination applications. MD is defined as a thermal-driven separation process that implements a hydrophobic membrane for allowing only water vapor transport through the membrane. VMD system is investigated in this study to examine its sensitivity toward the channel design. PTFE membrane is employed and treated as a functional surface where its main properties, such as porosity, tortuosity, pore diameter, and membrane thickness are defined. Different flow rates and inlet temperatures of the feed solution are involved to intensely study the effect of the channel length on VMD performance. The local concentration and temperature polarization coefficient and mass flux along the membrane surface are presented and discussed. With the increasing length of the module, concentration and temperature polarization levels are increased, and the vapor flux is decreased. It is shown that the permeate flux decreases linearly with the channel length. The slope of the permeate flux with length can be used to estimate the flux performance of modules with varying length.
Significance of Delta Winglets on the Air Side Performance of Flat Finned Versus Wavy Finned-Tube Heat Exchangers
Authors: Khan Tariq Amin , Gardezi Nasir Mehdi , Li Wei , Zhou Yang , Ayub Zahid 
Published: September 2020

Abstract
The performance on the air side flow is often limited due to its lower heat transfer coefficient. This work is related to numerical simulation to study the significance of employing delta winglets in flat finned and wavy finned-tube heat exchangers. For this purpose, three-dimensional simulation data and a multi-objective genetic algorithm are employed. The angle of attack (α) of delta winglets and Reynolds number varied from 15° to 75° and 500 to 1300, respectively.
Employing delta winglets has increased the heat transfer per unit temperature and per unit volume (Z) and the fan power per unit core volume (E) for both flat finned and wavy finned-tube heat exchangers. To achieve a maximum heat transfer enhancement and a minimum friction factor, the optimal values of these parameters (Re and α) are calculated using the Pareto optimal strategy. For this purpose, CFD data, a surrogate model (neural network) and a multi-objective optimization genetic algorithm are combined. Results show that the performance of wavy finned-tube heat exchangers is higher than flat-finned tube heat exchangers which signify the importance of delta winglets in the wavy finned-tube heat exchangers.
CFD Modeling of Thermal Management Systems for a Silicon Semiconductor Switch
Authors: Berg Jordan N. , Sobhansarbandi Sarvenaz 
Published: September 2020

Abstract
Silicon semiconductor switches are suitable for pulse power applications. When utilized in these applications, the switch receives a significant amount of power (i.e., heat) that is to be dissipated, which can result in the degradation of the switch. In order to maintain the functionality of the switch, a thermal management system (TMS) needs to be developed to keep the switch temperature at no higher than 80 °C during operation. This threshold is set due to an increase in electrical resistivity of silicon with an increase in temperature. This study compares the viability of two TMS, a microchannel and a jet impingement single-phase liquid system, to facilitate the long term operation of the switch for pulse power applications through performing computational fluid dynamic modeling (CFD) in ANSYS Fluent. The results from this study show that by utilizing a jet impingement system as TMS, the temperature of switch is maintained below the desired operating temperature when compared to that of the microchannel design under identical operating parameters (i.e., mass flow rate, coolant type and inlet temperature). Moreover, a cross validation of the thermal performance of the proposed systems has been made to further validate the obtained results.
Closed-Loop Simulation Integrating Finite Element Modeling With Feedback Controls in Powder Bed Fusion Additive Manufacturing
Authors: Wang Dan , Chen Xu 
Published: September 2020

Abstract
Powder bed fusion (PBF) additive manufacturing has enabled unmatched agile manufacturing of a wide range of products from engine components to medical implants. While high-fidelity finite element modeling and feedback control have been identified key for predicting and engineering part qualities in PBF, existing results in each realm are developed in opposite computational architectures wildly different in time scale. Integrating both realms, this paper builds a first-instance closed-loop simulation framework by utilizing the output signals retrieved from the finite element model (FEM) to directly update the control signals sent to the model. The proposed closed-loop simulation enables testing the limits of advanced controls in PBF and surveying the parameter space fully to generate more predictable part qualities. Along the course of formulating the framework, we verify the FEM by comparing its results with experimental and analytical solutions and then use the FEM to understand the melt-pool evolution induced by the in-layer thermomechanical interactions. From there, we build a repetitive control algorithm to greatly attenuate variations of the melt pool width.
Comprehensive Scheduling Method in Project Management Under Uncertain Environment
Authors: Morita Daisuke , Suwa Haruhiko 
Published: September 2020

Abstract
In this paper, we propose a novel project scheduling method to enhance schedule robustness. The proposed method evaluates and improves a project schedule according to the results of scheduling simulations considering the occurrence of uncertainties. In a series of the scheduling simulation, activities for achieving project’s goal are executed and the existing project schedule is revised by using pre-specified procedure every time an activity delay occurs. It is considered that the simulations including schedule revision tend to be time-consuming for the larger scale project. Our proposed method can drastically reduce a computational time required for evaluation by performing simulations in parallel using GPU. Through the numerical experiments, the computational time for large-scale project is investigated, and effective reduction of a project delay by the proposed method is demonstrated.
Rapid Estimation of Die and Mold Machining Time Without NC Data by AI Based on Shape Data
Authors: Takizawa Hiroki , Aoyama Hideki , Won Song Cheol 
Published: September 2020

Abstract
Rapid estimation of machining time is necessary for flexible production scheduling and early responses regarding delivery date. It is also important for selecting the most suitable of a factory’s many machine tools. Usually, machining time is estimated based on an NC program. However, this takes time to generate and its estimation accuracy is not ideal because it cannot consider the control characteristics of the machine tool. This study proposes a new method for rapidly estimating die and mold machining time without generating an NC program: inputting curvature and machining depth distributions into AI as color information.
Precise Cutting Force Estimation by Hybrid Estimation of DC/AC Components
Authors: Sato Taiki , Yamato Shuntaro , Imabeppu Yasuhiro , Irino Naruhiro , Kakinuma Yasuhiro 
Published: September 2020

Abstract
External sensor-less cutting force estimation using a load-side disturbance observer (LDOB) has potential to estimate the cutting force with high accuracy in both feed and cross-feed directions. However, the accuracy of its low frequency components in feed direction decrease due to effect of the friction and heat of a ball-screw-driven stage. In this study, DC and AC components of the cutting force is estimated by different methods; friction-compensated motor thrust force and LDOB, and the cutting force was estimated in real time by hybridizing them. In particular, regarding the friction model, the dynamic and static characteristics of the friction force in each axis (X, Y, Z) were identified from the idling test results. In addition to the model that depends on the velocity, the characteristics of the friction that depend on the position was also identified and considered when compensating for the motor thrust force. Then, a simple moving average filter with an appropriate window length is applied to the cutting force by LDOB and motor thrust force, and the DC component error of LDOB is corrected by that of motor thrust force. The validity of the proposed method was evaluated through end-milling tests. The experimental results showed that estimation accuracy of cutting force using the proposed method can be greatly improved in feed directions. On the other hand, in cross-feed direction, the cutting estimation was performed using the conventional LDOB.
The Evaluation of Joint Mobilization Dosage on Ankle Range of Motion in Individuals With Decreased Dorsiflexion and a History of Ankle Sprain
Authors: Meyer Jennifer E. , Rivera Matthew J. , Powden Cameron J. 
Published: September 2020

Context: Mulligan’s Mobilization with Movement (MWM) is a common intervention used to address dorsiflexion range of motion (DFROM) impairments. However, the treatment dosage of MWMs varies within the literature. Objective: The aim of this study was to examine the effect of serial MWM application on DFROM. Design: Repeated-measures cohort. Setting: A Midwestern University and the surrounding community. Participants: A total of 18 adults (13 females; age = 29 [12.87] y; DFROM = 30.26° [4.60°]) with decrease dorsiflexion (<40°) participated. Inclusion criteria consisted of a history of ≥1 ankle sprain, ≥18 years old, no lower-extremity injury in the last 6 months, and no history of foot/ankle surgery. Intervention: Participants completed a single data collection session consisting of 10 individual sets of MWMs. Main Outcome Measures: DFROM was taken at baseline and immediately after each intervention set (post 1, post 2, … post 10). DFROM was measured with a digital inclinometer on the anterior aspect of the tibia during the weight-bearing lunge test with the knee straight and knee bent. Analysis of variances examined DFROM changes over time. Post hoc analysis evaluated sequential pairwise comparisons and changes from baseline at each time point. Results: Analysis of variance results indicated a significant time main effect for weight-bearing lunge test with knee bent (P < .001) and a nonsignificant effect for weight-bearing lunge test with knee straight (P < .924). Post hoc analysis indicated improvements in the weight-bearing lunge test with knee bent at each timepoint compared with baseline (P < .005). Post 2 improved compared with post 1 (P = .027). No other pairwise sequential comparisons were significant (P > .417). Conclusions: MWMs significantly improved acute knee bent DFROM and indicated that after 2 sets of MWMs, no further DFROM improvements were identified. Future research should investigate the lasting effects of DFROM improvements with variable MWM dosages.
Deglacial Kankakee Torrent, source to sink
Authors: Curry B. Brandon , Kehew Alan E. , Antinao Jose Luis , Esch John , Huot Sebastien , Caron Olivier J. , Thomason Jason F. 
Published: September 2020

ABSTRACT
The last-glacial megaflood Kankakee Torrent streamlined hills and the remarkably straight backslope of the Kalamazoo moraine (Lake Michigan lobe of the Laurentide ice sheet) in southwestern Michigan. Flooding ensued as proglacial Lake Dowagiac overflowed across remnants of the Lake Michigan lobe at the position of the inner margin of the Kalamazoo moraine as glacial debris and ablating ice were pinned against Portage Prairie. Proglacial Lake Dowagiac developed in the Dowagiac River valley as the lobe retreated to form the Valparaiso moraine. A minimum age of the Kankakee Torrent (18.7 ± 0.6 k.y. B.P) is indicated by the weighted mean value of six optically stimulated luminescence ages determined from quartz sand in glaciofluvial sediment on the Kalamazoo moraine (Lake Michigan and Saginaw lobes). This value is consistent with tighter age control based on radiocarbon ages of tundra plants within silty sediment forming ice-walled lake plains and in a torrent-scoured lake basin (Oswego channel) in Illinois. Crosscutting relationships of well-dated moraines indicate the Kankakee Torrent occurred sometime between 19.7 and 18.9 calibrated (cal.) k.y. B.P. as it skirted the south margin of the Valparaiso Morainic System.
Genetic landscape of congenital disorders in patients from Southeast Asia: results from sequencing using a gene panel for Mendelian phenotypes
Authors: Wei Heming , Lai Angeline , Tan Ee Shien , Koh Mark Jean Aan , Ng Ivy , Ting Teck Wah , Thomas Terrence , Cham Breana , Lim Jiin Ying , Kam Sylvia , Goh Chew Yin Jasmine , Lin Grace , Brett Maggie , Chan Derrick , Jamuar Saumya Shekhar , Tan Ene-Choo 
Published: September 2020

ObjectiveTo test the utility and diagnostic yield of a medical-exome gene panel for identifying pathogenic variants in Mendelian disorders.MethodsNext-generation sequencing was performed with the TruSight One gene panel (targeting 4813 genes) followed by MiSeq sequencing on 216 patients who presented with suspected genetic disorders as assessed by their attending physicians.ResultsThere were 56 pathogenic and 36 likely pathogenic variants across 57 genes identified in 87 patients. Causal mutations were more likely to be truncating and from patients with a prior clinical diagnosis. Another 18 promising variants need further evaluation for more evidence to meet the requirement for potential upgrade to pathogenic. Forty-five of the 92 clinically significant variants were novel.ConclusionThe 40.3% positive yield compares favourably with similar studies using either this panel or whole exome sequencing, demonstrating that large gene panels could be a good alternative to whole exome sequencing for quick genetic confirmation of Mendelian disorders.
Enhanced Recovery after Intensive Care (ERIC): study protocol for a German stepped wedge cluster randomised controlled trial to evaluate the effectiveness of a critical care telehealth program on process quality and functional outcomes
Authors: Adrion Christine , Weiss Bjoern , Paul Nicolas , Berger Elke , Busse Reinhard , Marschall Ursula , Caumanns Jörg , Rosseau Simone , Mansmann Ulrich , Spies Claudia 
Published: September 2020

IntroductionSurvival after critical illness has noticeably improved over the last decades due to advances in critical care medicine. Besides, there is an increasing number of elderly patients with chronic diseases being treated in the intensive care unit (ICU). More than half of the survivors of critical illness suffer from medium-term or long-term cognitive, psychological and/or physical impairments after ICU discharge, which is recognised as post-intensive care syndrome (PICS). There are evidence-based and consensus-based quality indicators (QIs) in intensive care medicine, which have a positive influence on patients’ long-term outcomes if adhered to.Methods and analysisThe protocol of a multicentre, pragmatic, stepped wedge cluster randomised controlled, quality improvement trial is presented. During 3 predefined steps, 12 academic hospitals in Berlin and Brandenburg, Germany, are randomly selected to move in a one-way crossover from the control to the intervention condition. After a multifactorial training programme on QIs and clinical outcomes for site personnel, ICUs will receive an adapted, interprofessional protocol for a complex telehealth intervention comprising of daily telemedical rounds at ICU. The targeted sample size is 1431 patients. The primary objective of this trial is to evaluate the effectiveness of the intervention on the adherence to eight QIs daily measured during the patient’s ICU stay, compared with standard of care. Furthermore, the impact on long-term recovery such as PICS-related, patient-centred outcomes including health-related quality of life, mental health, clinical assessments of cognition and physical function, all-cause mortality and cost-effectiveness 3 and 6 months after ICU discharge will be evaluated.Ethics and disseminationThis protocol was approved by the ethics committee of the Charité—Universitätsmedizin, Berlin, Germany (EA1/006/18). The results will be published in a peer-reviewed scientific journal and presented at international conferences. Study findings will also be disseminated via the website (www.eric-projekt.net).Trial registration numberClinicalTrials.gov Registry (NCT03671447).
Public health programmes to promote mental health in young people: a systematic integrative review protocol
Authors: Wickramasinghe Nuwan Darshana , Samarutilake Nelum , Wettasinghe Mihiri Chami , Feiler Julie , Morgan Antony , Kousoulis Antonis A , Van Bortel Tine 
Published: September 2020

IntroductionIn light of the ever-growing mental health disease burden among young people worldwide, we aim to systematically review the global literature to identify the public health programmes targeted at promoting mental health and well-being in young people, the reported/anticipated mental health-related outcomes of the implemented public health programmes and the reported facilitators and barriers in relation to the implementation of those public health programmes.Methods and analysisA comprehensive literature search will be carried out in the following electronic bibliographic databases: MEDLINE, EMBASE, PsycINFO, Scopus, ASSIA, Web of Science, Global Health, AMED, Health Source and The Cochrane Library. Further, a manual search of the reference lists of eligible studies and reviews will be carried out. The search strategy will include combinations of three key blocks of terms, namely: ‘young people’, ‘mental health’ and ‘public health programme’, using database-specific subject headings and text words. Two reviewers will independently screen, assess data quality and extract data for synthesis. Disagreements at any stage will be resolved by consensus with the involvement of a third reviewer. Given the anticipated methodological pluralism of the potential eligible studies, we will provide a narrative synthesis of the findings on public health programmes aimed at promoting the mental health and well-being of young people according to identified thematic areas. Furthermore, a narrative synthesis of the reported facilitators and barriers in relation to the implementation of public health programmes will be provided.Ethics and disseminationGiven that the review findings will be focused on understanding the breadth and depth of the global research into public health programmes to promote mental health in young people with a particular emphasis on the facilitators and barriers of programmatic implementation, the findings will be of great value to inform future interventions, programmes and approaches to promote mental health and well-being of young people worldwide.PROSPERO registration numberCRD42018099551.