bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fuzzy linear regression model on mulberry silk cocoon characteristics
Authors: Kar Niharendu Bikash , Das Subhasis , Ghosh Anindya , Banerjee Debamalya 
Published: August 2019

Purpose
This study aims to propose a fuzzy linear regression (FLR) model to deal with the vagueness or fuzziness of the underlying relationship between silk cocoon and yarn quality.

Design/methodology/approach
Shell ratio percentage, defective cocoon percentage and cocoon volume are considered as significant independent variables to predict the quality of silk cocoons. Input and output parameters of the FLR model are considered as non-fuzzy, but the underlying relationship between the variables is assumed to be fuzzy.

Findings
The fuzzy regression model shows its superiority against conventional multiple linear regression model for estimation of silk cocoon characteristics. It is inferred that the fuzziness in underlying relationship between the parameters can be handled efficiently by FLR model.

Originality/value
A rigorous experimental work has been carried out on 40 lots of mulberry silk cocoons to generate real-world data set to characterize silk cocoons’ quality in a fuzzy environment.
Additive manufacturing infill optimization for automotive 3D-printed ABS components
Authors: Schmitt Matt , Mehta Raj Mattias , Kim Il Yong 
Published: August 2019

Purpose
Lightweighting of components in the automotive industry is a prevailing trend influenced by both consumer demand and government regulations. As the viability of additively manufactured designs continues to increase, traditionally manufactured components are continually being replaced with 3D-printed parts. The purpose of this paper is to present experimental results and design considerations for 3D-printed acrylonitrile butadiene styrene (ABS) components with non-solid infill sections, addressing a large gap in the literature. Information published in this paper will guide engineers when designing fused deposition modeling (FDM) ABS parts with infill regions.

Design/methodology/approach
Uniaxial tensile tests and three-point bend tests were performed on 12 different build configurations of 20 samples. FDM with ABS was used as the manufacturing method for the samples. Failure strength and elastic modulus were normalized on print time and specimen mass to quantify variance between configurations. Optimal infill configurations were selected and used in two automotive case study examples.

Findings
Results obtained from the uniaxial tensile tests and three-point bend tests distinctly showed that component strength is highly influenced by the infill choice selected. Normalized results indicate that solid, double dense and triangular infill, all with eight contour layers, are optimal configurations for component regions experiencing high stress, moderate stress and low stress, respectively. Implementation of the optimal infill configurations in automotive examples yielded equivalent failure strength without normalization and significantly improved failure strength on a print time and mass normalized index.

Originality/value
To the best of the authors’ knowledge, this is the first paper to experimentally determine and quantify optimal infill configurations for FDM ABS printed parts. Published data in this paper are also of value to engineers requiring quantitative material properties for common infill configurations.
Fast production of customized three-dimensional-printed hand splints
Authors: Popescu Diana , Zapciu Aurelian , Tarba Cristian , Laptoiu Dan 
Published: August 2019

Purpose
This paper aims to propose a new solution for producing customized three-dimensional (3D)-printed flat-shaped splints, which are then thermoformed to fit the patient’s hand. The splint design process is automated and is available to clinicians through an online application.

Design/methodology/approach
Patient anthropometric data measured by clinicians are associated with variables of parametric 3D splint models. Once these variables are input by clinicians in the online app, customized stereo lithography (STL) files for both splint and half mold, in the case of the bi-material splint, are automatically generated and become available for download. Bi-materials splints are produced by a hybrid manufacturing process involving 3D printing and overmolding.

Findings
This approach eliminates the need for 3D CAD-proficient clinicians, allows fast generation of customized splints, generates two-dimensional (2D) drawings of splints for verifying shape and dimensions before 3D printing and generates the STL files. Automation reduces splint design time and cost, while manufacturing time is diminished by 3D printing the splint in a flat position.

Practical implications
The app could be used in clinical practice. It meets the demands of mass customization using 3D printing in a field where individualization is mandatory. The solution is scalable – it can be extended to other splint designs or to other limbs. 3D-printed tailored splints can offer improved wearing comfort and aesthetic appearance, while maintaining hand immobilization, allowing visually controlled follow-up for edema and rapidly observing the need for revision if necessary.

Originality/value
An online application was developed for uploading patient measurements and downloading 2D drawings and STL files of customized splints. Different models of splints can be designed and included in the database as alternative variants. A method for producing bi-materials flat splints combining soft and rigid polymers represents another novelty of the research.
Increasing strength of FFF three-dimensional printed parts by influencing on temperature-related parameters of the process
Authors: Kuznetsov Vladimir E. , Solonin Alexey N. , Tavitov Azamat , Urzhumtsev Oleg , Vakulik Anna 
Published: August 2019

Purpose
This paper aims to investigate how the user-controlled parameters of the fused filament fabrication three-dimensional printing process define temperature conditions on the boundary between layers of the part being fabricated and how these conditions influence the structure and strength of the polylactic acid part.

Design/methodology/approach
Fracture load in a three-point bending test and calculated related stress were used as a measure. The samples were printed with the long side along the z-axis, thus, in the bend tests, the maximum stress occurred orthogonally to the layers. Temperature distribution on the sample surface during printing was monitored with a thermal imager. Sample mesostructure was analyzed using scanning electron microscopy. The influence of the extrusion temperature, the intensity of part cooling, the printing speed and the time between printing individual layers were considered.

Findings
It is shown that the optimization of the process parameters responsible for temperature conditions makes it possible to approximate the strength of the interlayer cohesion to the bulk material strength.

Originality/value
The novelty of the study consists in the generalization of the outcomes. All the parameters varied can be expressed through two factors, namely, the temperature of the previous layer and the extrusion efficiency, determining the ratio of the amount of extruded plastic to the calculated. A regression model was proposed that describes the effect of the two factors on the printed part strength. Along with interlayer bonding strength, these two factors determine the formation of the part mesostructure (the geometry of the boundaries between individual threads).
Precision of customized surgical osteotomy guide (CSOG) in mandibular reconstruction with a customized implant
Authors: Dahake Sandeep W. , Kuthe Abhaykumar M. , Mawale Mahesh B. 
Published: August 2019

PurposeThis study aims to find the usefulness of the customized surgical osteotomy guide (CSOG) for accurate mandibular tumor resection for boosting the accuracy of prefabricated customized implant fixation in mandibular reconstructions.Design/methodology/approachIn all, 30 diseased mandibular RP models (biomodels) were allocated for the study (for experimental group [n = 15] and for control group [n = 15]). To reconstruct the mandible with customized implant in the experimental group, CSOGs and in control group, no CSOG were used for accurate tumor resections. In control group, only preoperative virtual surgical planning (VSP) and reconstructed RP mandible model were used for the reference. Individually each patient’s preoperative mandibular reconstructions data of both the groups were superimposed to the preoperative VSP of respective patient by registering images with the non-surgical side of the mandible. In both the groups, 3D measurements were taken on the reconstructed side and compared the preoperative VSP and postoperative reconstructed mandible data. The sum of the differences between pre and postoperative data was considered as the total error. This procedure was followed for both the groups and compared the obtained error between the two groups using statistical analysis.FindingsThe use of CSOG for accurate tumor resection and exact implant fixation in mandibular reconstruction produced a smaller total error than without using CSOG.Originality/valueThe results showed that, benefits provided with the use of CSOG in mandibular reconstruction justified its use over the without using CSOG, even in free hand tumor resection using rotating burr.
Classification of challenges in 3D printing for combined electrochemical and microfluidic applications: a review
Authors: A. Arivarasi , Kumar Anand 
Published: August 2019

Purpose
The purpose of this paper is to describe, review, classify and analyze the current challenges in three-dimensional printing processes for combined electrochemical and microfluidic fabrication areas, which include printing devices and sensors in specified areas.

Design/methodology/approach
A systematic review of the literature focusing on existing challenges is carried out. Focused toward sensors and devices in electrochemical and microfluidic areas, the challenges are oriented for a discussion exploring the suitability of printing varied geometries in an accurate manner. Classifications on challenges are based on four key categories such as process, material, size and application as the printer designs are mostly based on these parameters.

Findings
A key three-dimensional printing process methodologies have their unique advantages compared to conventional printing methods, still having the challenges to be addressed, in terms of parameters such as cost, performance, speed, quality, accuracy and resolution. Three-dimensional printing is yet to be applied for consumer usable products, which will boost the manufacturing sector. To be specific, the resolution of printing in desktop printers needs improvement. Printing scientific products are halted with prototyping stages. Challenges in three-dimensional printing sensors and devices have to be addressed by forming integrated processes.

Research limitations/implications
The research is underway to define an integrated process-based on three-dimensional Printing. The detailed technical details are not shared for scientific output. The literature is focused to define the challenges.

Practical implications
The research can provide ideas to business on innovative designs. Research studies have scope for improvement ideas.

Social implications
Review is focused on to have an integrated three-dimensional printer combining processes. This is a cost-oriented approach saving much of space reducing complexity.

Originality/value
To date, no other publication reviews the varied three-dimensional printing challenges by classifying according to process, material, size and application aspects. Study on resolution based data is performed and analyzed for improvements. Addressing the challenges will be the solution to identify an integrated process methodology with a cost-effective approach for printing macro/micro/nano objects and devices.
Additive manufacturing applied to injection moulding: technical and economic impact
Authors: Vasco Joel , Barreiros F.M. , Nabais Andreia , Reis Nilza 
Published: August 2019

Purpose
The purpose of this study is to compare the overall performance of the injection moulding process by using metallic inserts produced by both conventional technologies and selective laser melting (SLM).

Design/methodology/approach
A systematic methodology is proposed for prior evaluation of the effectiveness of conformal cooling channels to reduce cycle time and/or to reduce the scrap rate.

Findings
The mould was reengineered considering the SLM process and manufactured. Injection trials were carried out to validate expectations provided by injection simulations, which resulted on good quality parts and a significant decrease on cooling time, and, consequently, on the overall cycle time. The minimisation of scrap provided energy savings and time-to-market reduction.

Research limitations/implications
The initial costs for AM tools still pose some doubts on decision-makers. The challenge of this study is to implement the methodology on a small-scale production and still ensure that benefits are achieved.

Practical implications
The case study selected for this research work is based on a parking sensor housing, which is a plastic part assembled on the vehicle’s front and rear bumpers, therefore, with aesthetics concerns. The part produced with the conventional mould exhibits surface defects that, to be minimised (not eliminated), require a longer packing time to diminish the sink marks.

Social implications
The economic impact of the use of SLM is relevant despite the low batch size for the case study presented. Energy savings are achieved due to scrap reduction and shorter cycle time.

Originality/value
The systematic methodology proposed for prior evaluation of the advantages of conformal cooling is possible to be applied both on small scale and high production series.
Correlation between porosity and permeability of stainless steel filters with gradient porosity produced by SLS/SLM
Authors: Fogliatto Aloysio Arthur Becker , Ahrens Carlos Henrique , Wendhausen Paulo Antônio Pereira , Santos Edson Costa , Rodrigues Daniel 
Published: August 2019

Purpose
Porous structures have been widely used in filtration, medical implants and aerospace field. In the filtration field, the study of permeability of the porous structures is of great importance. This paper aims to study the influence of selective laser sintering/melting (SLS/SLM) process parameters on porosity and permeability of stainless steels filters with gradient porosity (FGM).

Design/methodology/approach
AISI 316L stainless steel powder was used to manufacture FGM filters by varying the hatch distance while other process parameters were fixed. The relationship between porosity and permeability of such FGM filters was investigated by means of Archimedes’ and Forchheimer’s laws. The gradient of porosity was also analyzed by means of micro-computed tomography.

Findings
The results have confirmed the ability of SLS/SLM in controlling porosity of the final product by varying the hatch distance. Further, the results allow to assume that FGM filters will have particle retention capacity related to lowest porosity value (which in turn is associated with the lowest hatch distance value used), while it will work at lower pressure drops – or at higher flow rates for equal pressure drop – when compared to a filter without gradient porosity.

Originality/value
Some research found in recent literature has showed the relationship between SLS/SLM process parameters and permeability of stainless steel porous structures. However, this paper fulfils the need to understand the relationship between SLS/SLM process parameters, porosity and permeability behavior of functionally graded porous structures (FGM filters).
The effect of cognitive absorption on marketing learning performance
Authors: Guinaliu-Blasco Miguel , Hernández-Ortega Blanca , Franco José L. 
Published: August 2019

PurposeThe purpose of this paper is to analyse the individual’s experience during the use of Pinterest in a marketing learning process. This experience is a fundamental starting point from which to develop marketing learning processes that flow naturally. Thus, it is necessary to examine the components that determine the individual’s experience and to explore consequences such as collaborative learning and marketing learning performance.Design/methodology/approachTo conceptualise the individual’s experience, this study focuses on her/his state of cognitive absorption (CA) and establishes a second-order formative structure made up of five components: heightened enjoyment, curiosity, control, temporal dissociation and focused immersion. The model is estimated with partial least squares modelling, using SmartPLS 2.0 software.FindingsThe results confirm the significant weights of the components, with the exception of focused immersion, and support the influence of overall CA on the proposed outcomes. They also confirm that collaborative learning exerts a positive influence on the individual’s performance.Originality/valueThis study makes three contributions. First, it holistically examines the individual’s experience during marketing learning and the importance of its constituent components. Second, it establishes what the consequences of the marketing learning experience are, taking into account both social and individual factors, that is, collaborative learning and individual performance. Third, Pinterest is proposed as a social network with great potential in marketing learning. It is a well-known network which includes very interesting features for learning contexts. Nevertheless, it has been little studied in research.
The efficacy of vonoprazan for management of post‐endoscopic submucosal dissection ulcers compared with proton pump inhibitors: A meta‐analysis
Authors: Liu Chao , Feng Bing Cheng , Zhang Yan , Li Li Xiang , Zuo Xiu Li , Li Yan Qing 
Published: August 2019

ObjectiveArtificial ulcers after endoscopic submucosal dissection (ESD) are usually treated by proton pump inhibitors (PPIs) in clinical setting. Vonoprazan, a newly developed potassium‐competitive acid blocker, has recently been used to treat post‐ESD ulcers. We aimed to evaluate the efficacy and safety of vonoprazan on the healing of post‐ESD artificial ulcers compared with those of proton pump inhibitors (PPIs) using a meta‐analysis.MethodsEMBASE, MEDLINE, Scopus and Cochrane Library databases were searched for all studies comparing the efficacy and safety of vonoprazan with those of PPIs in the treatment of post‐ESD ulcers.ResultsFourteen articles with 1328 patients were included in this meta‐analysis. When comparing ulcer shrinkage rate, vonoprazan showed a better efficacy than PPIs (mean difference 0.56, 95% confidence interval [CI] 0.18‐0.93). Vonoprazan also led to a higher scar formation rate (odds ratio [OR] 1.58, 95% CI 1.00‐2.47) and showed a potential superiority on reducing the risk of post‐ESD bleeding compared with PPIs, with a pooled OR of 0.69, although there was no statistically significant difference.ConclusionsCompared with PPIs, vonoprazan showed a better efficacy in ulcer shrinkage rate and achieved more complete healing in the treatment of post‐ESD ulcers. Vonoprazan did not induce any incremental risk of post‐ESD bleeding as well. It may be an appropriate choice in the management of artificial ulcers after ESD.
Barbauld's Lessons: The Conversational Primer in Late Eighteenth‐Century British Children's Literature
Authors: Lim Jessica Wen Hui 
Published: August 2019

AbstractThis article examines how Anna Letitia Barbauld's Lessons for Children Aged Two to Three Years (1778) facilitated the development of the conversational primer. This genre is characterised by the authorial persona of the parent‐author, and by its conversational format, in which texts present themselves as verisimilar and replicable conversations in the British middle‐class family home. Through a close reading of Lessons for Children and subsequent conversational primers, this article suggests that Barbauld reshaped the history of British middle‐class children's culture, transforming the mother‐teacher into a marketable literary trope and portraying domestic spaces as accessible and immersive sites of child education.
Decoding tumor mutation burden and driver mutations in early stage lung adenocarcinoma using CT‐based radiomics signature
Authors: Wang Xiaoxiao , Kong Cheng , Xu Weizhang , Yang Sheng , Shi Dan , Zhang Jingyuan , Du Mulong , Wang Siwei , Bai Yongkang , Zhang Te , Chen Zeng , Ma Zhifei , Wang Jie , Dong Gaochao , Sun Mengting , Yin Rong , Chen Feng 
Published: August 2019

BackgroundTumor mutation burden (TMB) is an important determinant and biomarker for response of targeted therapy and prognosis in patients with lung cancer. The present study aimed to determine whether radiomics signature could non‐invasively predict the TMB status and driver mutations in patients with resectable early stage lung adenocarcinoma (LUAD).MethodsA total of 61pulmonary nodules (PNs) from 51 patients post‐operatively diagnosed LUAD were enrolled for analysis. Two datasets were divided according to two‐thirds of patients from different commercial Comprehensive Genomic Profiling (CGP) panels: a training cohort including 41 PNs and a testing cohort including rest 20PNs. We sequenced all tumor specimens and paired blood cells using next generation sequencing (NGS), so as to detect TMB status and somatic mutations. We collected 718 quantitative 3D radiomics features extracted from segmented volumes of each PNs and 78 clinical and pathological features retrieved from medical records as well. Support vector machine methods were performed to establish the predictive model.ResultsWe established an efficient fusion‐positive tumor prediction model that predicts TMB status and EGFR/TP53 mutations of early stage LUAD. The radiomics signature yielded a median AUC value of 0.606, 0.604, and 0.586 respectively. Combining radiomics with the clinical information can further improve the prediction performance, which the median AUC values are 0.671 for TMB, 0.697 and 0.656 for EGFR/TP53 respectively.ConclusionIt is feasible and effective to facilitate TMB and somatic driver mutations prediction by using the radiomics signature and NGS data in early stage LUAD.
Negative expectations and bad relationships: Effects of negative metastereotypes on doctor–patient relationships
Authors: He Wen , Wang Xiaolan , Zhou Xingchen , Xu Lulu 
Published: August 2019

This research aimed to examine the effects of negative metastereotypes (i.e., patients believe that doctors have negative opinions about them) and conflict experience on doctor–patient relationships. A 2 × 2 experimental study was conducted on 84 outpatients who were randomly assigned to either a negative metastereotype activation (NMSA) condition or a nonnegative metastereotype activation (non‐NMSA) condition. Each group consisted of patients with and without conflict experience (CE). Intergroup anxiety and doctor–patient relationships were subsequently assessed. Results showed that NMSA and CE increased intergroup anxiety and undermined doctor–patient relationships. In addition, the interaction between NMSA and CE on doctor–patient relationships was significant. When negative metastereotypes were activated, patients with CE showed more unfavorable relationships with doctors as compared with those under non‐NMSA activation condition; no metastereotype effects on doctor–patient relationships were observed among patients without CE. These findings provided insights into an important predictor of doctor–patient relationships as well as its mechanism. Future studies should consider negative metastereotypes and CE to develop interventions for improving doctor–patient relationships.