bluuebunny/crossref_metadata_2025_split huggingface dataset:
Data-driven quality improvement approach to reducing waste in manufacturing
Authors: Clancy Rose , O'Sullivan Dominic , Bruton Ken 
Published: August 2021

PurposeData-driven quality management systems, brought about by the implementation of digitisation and digital technologies, is an integral part of improving supply chain management performance. The purpose of this study is to determine a methodology to aid the implementation of digital technologies and digitisation of the supply chain to enable data-driven quality management and the reduction of waste from manufacturing processes.Design/methodology/approachMethodologies from both the quality management and data science disciplines were implemented together to test their effectiveness in digitalising a manufacturing process to improve supply chain management performance. The hybrid digitisation approach to process improvement (HyDAPI) methodology was developed using findings from the industrial use case.FindingsUpon assessment of the existing methodologies, Six Sigma and CRISP-DM were found to be the most suitable process improvement and data mining methodologies, respectively. The case study revealed gaps in the implementation of both the Six Sigma and CRISP-DM methodologies in relation to digitisation of the manufacturing process.Practical implicationsValuable practical learnings borne out of the implementation of these methodologies were used to develop the HyDAPI methodology. This methodology offers a pragmatic step by step approach for industrial practitioners to digitally transform their traditional manufacturing processes to enable data-driven quality management and improved supply chain management performance.Originality/valueThis study proposes the HyDAPI methodology that utilises key elements of the Six Sigma DMAIC and the CRISP-DM methodologies along with additions proposed by the author, to aid with the digitisation of manufacturing processes leading to data-driven quality management of operations within the supply chain.
Delving into the soft side of TQM: an analysis of the implications of employee involvement on management practices
Authors: Cavallone Mauro , Palumbo Rocco 
Published: August 2021

PurposeSoft total quality management (STQM) is a requisite for the successful implementation of hard total quality management interventions. However, there is limited empirical evidence on the implications of adopting soft total quality management practices. Inter alia, little is known about the consequences of employee involvement in addressing organizational and management challenges. To fill this gap, the article investigates the effects of employees' involvement on their commitment to organizational excellence.Design/methodology/approachSecondary data were collected from the European Company Survey (ECS). A large sample of 15,958 European companies was involved in the analysis. A parallel mediation model was devised to investigate the effects of employee involvement on commitment to organizational excellence. Training and motivation were contemplated as mediating variables to investigate the indirect implications of employee involvement on commitment to organizational excellence.FindingsEmployee involvement contributed marginally towards establishing an increased individual commitment to organizational excellence. Training and motivation played a relevant and statistically significant mediating role, boosting the implications of involvement on commitment to organizational excellence.Practical implicationsEmployee involvement is critical for establishing an organizational climate conducive to organizational excellence. However, its implications should be contextualized in light of the mediating role of training and motivation. On the one hand, training is expected to increase employees' participation in the enhancement of organizational excellence. On the other hand, motivation fosters employee engagement in the improvement of organizational dynamics.Originality/valueThe article investigates the implications of employee involvement on commitment to organizational excellence in a large sample of European companies, emphasizing that soft TQM interventions should be implemented according to a systemic perspective in order to pave the way for a viable commitment to organizational excellence.
Research advancements in optical imaging and spectroscopic techniques for nondestructive detection of mold infection and mycotoxins in cereal grains and nuts
Authors: Mishra Gayatri , Panda Brajesh Kumar , Ramirez Wilmer Ariza , Jung Hyewon , Singh Chandra B , Lee Sang‐Heon , Lee Ivan 
Published: August 2021

AbstractCereal grains and nuts are represented as the economic backbone of many developed and developing countries. Kernels of cereal grains and nuts are prone to mold infection under high relative humidity and suitable temperature conditions in the field as well as storage conditions. Health risks caused by molds and their molecular metabolite mycotoxins are, therefore, important topics to investigate. Strict regulations have been developed by international trade regulatory bodies for the detection of mold growth and mycotoxin contamination across the food chain starting from the harvest to storage and consumption. Molds and aflatoxins are not evenly distributed over the bulk of grains, thus appropriate sampling for detection and quantification is crucial. Existing reference methods for mold and mycotoxin detection are destructive in nature as well as involve skilled labor and hazardous chemicals. Also, these methods cannot be used for inline sorting of the infected kernels. Thus, analytical methods have been extensively researched to develop the one that is more practical to be used in commercial detection and sorting processes. Among various analytical techniques, optical imaging and spectroscopic techniques are attracting growers’ attention for their potential of nondestructive and rapid inline identification and quantification of molds and mycotoxins in various food products. This review summarizes the recent application of rapid and nondestructive optical imaging and spectroscopic techniques, including digital color imaging, X‐ray imaging, near‐infrared spectroscopy, fluorescent, multispectral, and hyperspectral imaging. Advance chemometric techniques to identify very low‐level mold growth and mycotoxin contamination are also discussed. Benefits, limitations, and challenges of deploying these techniques in practice are also presented in this paper.
Impact of cold plasma on the biomolecules and organoleptic properties of foods: A review
Authors: Warne George R. , Williams Philip M. , Pho Hue Quoc , Tran Nam Nghiep , Hessel Volker , Fisk Ian D. 
Published: August 2021

AbstractCold plasma is formed by the nonthermal ionization of gas into free electrons, ions, reactive atomic and molecular species, and ultraviolet (UV) radiation. This cold plasma can be used to alter the surface of solid and liquid foods, and it offers multiple advantages over traditional thermal treatments, such as no thermal damage and increased output variation (due to the various input parameters gas, power, plasma type, etc.). Cold plasma appears to have limited impact on the sensory and color properties, at lower power and treatment times, but there has been a statistically significant reduction in pH for most of the cold plasma treatments reviewed (p < 0.05). Carbohydrates (cross linking and glycosylation), lipids (oxidation), and proteins (secondary structure) are more significantly impacted due to cold plasma at higher intensities and longer treatment times. Although cold plasma treatments and food matrices can vary considerably, this review has identified the literary evidence of some of the influences and impacts of the vast array of cold plasma treatment parameters on the biomolecular and organoleptic properties of these foods. Due to the rapidly evolving nature of the field, we have also identified that authors prioritize the presentation of different information when publishing from different research areas. Therefore, we have proposed a number of key physical and chemical cold plasma parameters that should be considered for inclusion in all future publications in the field.
A comparison of cell‐based and cell‐cultured as appropriate common or usual names to label products made from the cells of fish
Authors: Hallman William K. , Hallman William K. 
Published: August 2021

AbstractUsing an online experiment with a nationally representative sample of 1200 adult American consumers, two “common or usual names,” “Cell‐Based Seafood” and “Cell‐Cultured Seafood,” were assessed using five criteria. Displayed on packages of frozen Atlantic Salmon, both “Cell‐Based” (60.1%) and “Cell‐Cultured” (58.9%) enabled participants to differentiate the novel products from “Farm‐Raised” and “Wild‐Caught” fish and 74% also recognized that those allergic to fish should not consume the product. Thus, both names met key regulatory criteria. Both names were seen as appropriate terms for describing the process for creating the product, meeting the criteria for transparency. There were no significant differences in the perceived safety, naturalness, taste, or nutritiousness of the products bearing the two names. However, participants’ overall impressions associated with “Cell‐Based” were rated as more positive than those associated with “Cell‐Cultured” (P < 0.001, η2 = 0.010), as were their initial thoughts, images, and feelings (P < 0.001, η2 = 0.008). The participants were also slightly more interested in tasting (P < 0.05, η2 = 0.004) and in purchasing (P < 0.01, η2 = 0.006) “Cell‐Based” than “Cell‐Cultured” seafood. After learning the meaning of the terms, participants’ overall impressions of “Cell‐Based” remained higher than “Cell‐Cultured” (P < 0.05, η2 = 0.003) and they remained slightly more interested in tasting (P < 0.05, η2 = 0.004) and in purchasing (P < 0.05, η2 = 0.005) “Cell‐Based” than “Cell‐Cultured” seafood. Therefore, “Cell‐Based Seafood” should be adopted as the best common or usual name for seafood made from the cells of fish.Practical ApplicationWidespread adoption and consistent use of a single “common or usual name” for “Cell‐Based” seafood, meat, poultry, and other products by the food industry, regulators, journalists, marketers, environmental, consumer, and animal rights advocates, and other key stakeholders would help shape public perceptions and understanding of this rapidly advancing technology and its products. This study confirms that “Cell‐Based Seafood” is the best performing term to label seafood products made from the cells of fish. It meets relevant FDA regulatory requirements and slightly outperforms “Cell‐Cultured Seafood” with regard to positive consumer perceptions, interest in tasting, and likelihood of purchasing these novel products.
Experimental Coupling of TOPMODEL with the National Water Model: Effects of Coupling Interface Complexity on Model Performance
Authors: Kim Dong‐Hyun (Donny) , Naliaka Amina , Zhu Zhipeng , Ogden Fred L. , McMillan Hilary K. 
Published: August 2021

AbstractThe study had two objectives; (1) Substitute National Water Model’s (NWM) runoff calculation with a conceptual hydrologic model (TOPography‐based hydrological MODEL [TOPMODEL]) to simplify the model structure and resolve potential drawbacks of applying NWM in headwater catchments. (2) Investigate how varying the coupling interface (location of coupling, type of fluxes used, modification of sub‐models) affects model behavior of when one‐way coupling the NWM’s land surface model (LSM; Noah‐Multi Parameterization) with TOPMODEL using six different scenarios. The one‐way coupled model outperformed NWM and noncoupled TOPMODEL. The coupling option limiting reliance on LSM’s surface and subsurface water fluxes by constraining them within the TOPMODEL structure was the most successful. Performance declined when coupling configurations relied more on LSM calculated fluxes to override TOPMODEL internal processes. Varying the coupling interface brought unexpected changes in TOPMODEL’s parameter sensitivity and water budget even while the statistical score remained similar. The coupling interface represents a source of structural uncertainty that could be identified through conventional evaluation of performance, uncertainty, and sensitivity due to the simple structure of our one‐way coupling design. The study shows that the benefits of combining the strengths of land surface and conceptual hydrological models, while recognizing that structural uncertainty from coupling design needs to be acknowledged.
Association between dynamic dose increases of buprenorphine for treatment of opioid use disorder and risk of relapse
Authors: Rudolph Kara E. , Shulman Matisyahu , Fishman Marc , Díaz Iván , Rotrosen John , Nunes Edward V. 
Published: August 2021

AbstractBackground and AimsDynamic, adaptive pharmacologic treatment for opioid use disorder (OUD) has been previously recommended over static dosing to prevent relapse, and is aligned with personalized medicine. However, there has been no quantitative evidence demonstrating its advantage. Our objective was to estimate the extent to which a hypothetical intervention that increased buprenorphine dose in response to opioid use would affect risk of relapse over 24 weeks of follow‐up.DesignA secondary analysis of the buprenorphine arm of an open‐label randomized controlled 24‐week comparative effectiveness trial, 2014–17.SettingEight community addiction treatment programs in the United States.ParticipantsEnglish‐speaking adults with DSM‐5 OUD, recruited during inpatient admission (n = 270). Participants were mainly white (65%) and male (72%).Intervention(s)Participants were treated with daily sublingual buprenorphine–naloxone (BUP–NX), with dose based on clinical indication, determined by the provider. We examined a hypothetical intervention of increasing dose in response to opioid use.MeasurementsOutcome was relapse to regular opioid use during the 24 weeks of outpatient treatment, assessed in a survival framework. We estimated the relapse‐free survival curves of participants under a hypothetical (i.e. counterfactual) intervention in which their BUP–NX dosage would be increased following their own subject‐specific opioid use during the first 12 weeks of treatment versus a hypothetical intervention in which dose would remain constant.FindingsWe estimated that increasing BUP–NX dose in response to recent opioid use would lower risk of relapse by 19.17 percentage points [95% confidence interval (CI) = −32.17, −6.18) (additive risk)] and 32% (0.68, 95% CI = 0.49, 0.86) (relative risk). The number‐needed‐to‐treat with this intervention to prevent a single relapse is 6.ConclusionsIn people with opioid use disorder, a hypothetical intervention that increases sublingual buprenorphine–naloxone dose in response to opioid use during the first 12 weeks of treatment appears to reduce risk of relapse over 24 weeks, compared with holding the dose constant after week 2.
Simulated validation of intron‐less transgene detection using DELLY for gene‐doping control in horse sports
Authors: Tozaki T. , Ohnuma A. , Kikuchi M. , Ishige T. , Kakoi H. , Hirota K. , Kusano K. , Nagata S. 
Published: August 2021

SummaryGene doping is prohibited in horseracing. In a previous study, we developed a method for non‐targeted transgene detection using DELLY, which is based on split‐read (SR) and paired‐end (PE) algorithms to detect structural variants, on WGS data. In this study, we validated the detection sensitivity of DELLY using artificially generated sequence data of 12 target genes. With DELLY, at least one intron was detected as a deletion in eight targeted genes using the 150 bp PE read WGS data, whereas all targeted genes were detected by DELLY using the 100 bp PE read data. The detection sensitivity was higher in 100 bp PE reads than in 150 bp PE reads, despite a lower total sequence coverage, probably because of mismatch tolerance between the mapped reads and reference genome. In addition, it was observed that the average intron size detected by SR alone was 293 bp and that that detected by both SR and PE was 8924 bp. Thus, we showed that transgenes with various intron–exon structures could be detected using DELLY, suggesting its application in gene‐doping control in horses.
Physiologically based pharmacokinetic modelling in pregnancy: Model reproducibility and external validation
Authors: Silva Larissa L. , Silvola Rebecca M. , Haas David M. , Quinney Sara K. 
Published: August 2021

AimsPhysiologically based pharmacokinetic (PBPK) models have been previously developed for betamethasone and buprenorphine for pregnant women. The goal of this work was to replicate and reassess these models using data from recently completed studies.MethodsBetamethasone and buprenorphine PBPK models were developed in Simcyp V19 based on prior publications using V17 and V15. Ability to replicate models was verified by comparing predictions in V19 to those previously published. Once replication was verified, models were reassessed by comparing predictions to observed data from additional studies in pregnant women. Model performance was based upon visual inspection of concentration vs. time profiles, and comparison of pharmacokinetic parameters. Models were deemed reproducible if parameter estimates were within 10% of previously reported values. External validations were considered acceptable if the predicted area under the concentration–time curve (AUC) and peak plasma concentration fell within 2‐fold of the observed.ResultsThe betamethasone model was successfully replicated using Simcyp V19, with ratios of reported (V17) to reproduced (V19) peak plasma concentration of 0.98–1.04 and AUC of 0.95–1.07. The model‐predicted AUC ratios ranged from 0.98–1.79 compared to external data. The previously published buprenorphine PBPK model was not reproducible, as we predicted intravenous clearance of 70% that reported previously (both in Simcyp V15).ConclusionWhile high interstudy variability was observed in the newly available clinical data, the PBPK model sufficiently predicted changes in betamethasone exposure across gestation. Model reproducibility and reassessment with external data are important for the advancement of the discipline. PBPK modelling publications should contain sufficient detail and clarity to enable reproducibility.
Proteomic analysis and microRNA expression profiling of plasma‐derived exosomes in primary immune thrombocytopenia
Authors: Sun Yunqi , Hou Yu , Meng Guiyue , Han Panpan , Zhao Yajing , Wang Haoyi , Xu Miao , Wang Yawen , Qiu Jihua , Peng Jun , Shao Linlin , Sun Lu , Hou Ming 
Published: August 2021

SummaryExosomes are released into extracellular fluids and have emerged as vital biological mediators in autoimmune diseases. Plasma‐derived exosomes have been reported to take part in the pathogenesis of primary immune thrombocytopenia (ITP), but the protein and miRNA cargoes have not been entirely elucidated. Via proteomic analysis and RNA sequencing on plasma‐derived exosomes from ITP patients and healthy controls, we found one upregulated exosomal protein (apolipoprotein E, ApoE), six downregulated exosomal miRNAs (miR‐584‐5p, miR‐4433a‐5p, miR‐4433b‐3p, miR‐6842‐3p, miR‐130b‐5p and miR‐222‐3p), and 10 upregulated exosomal miRNAs (miR‐29a‐3p, miR‐142‐5p, miR‐16‐2‐3p, miR‐29b‐3p, miR‐501‐3p, miR‐144‐5p, miR‐192‐5p, miR‐182‐5p, miR‐363‐3p and miR‐96‐5p) in ITP patients. The elevated exosomal protein candidate ApoE in the ITP cohort was further validated using western blot. Via quantitative real‐time polymerase chain reaction assays, three differentially expressed miRNAs (miR‐584‐5p, miR‐142‐5p and miR‐29b‐3p) were identified. This study provides direct evidence for a restricted signature of exosomal protein and miRNAs which distinguishes ITP from healthy controls. The results require further validation in larger independent ITP cohorts, which will provide insights into the potential pathophysiological significance of circulating exosomes in ITP.
Testing the content for a targeted age‐relevant intervention to promote cervical screening uptake in women aged 50–64 years
Authors: Marlow Laura A. V. , Nemec Martin , Vlaev Ivo , Waller Jo 
Published: August 2021

ObjectivesLow uptake of cervical screening in women in their 50s and 60s leaves them at elevated risk of cancer in older age. An age‐targeted intervention could be an effective way to motivate older women to attend cervical screening. Our primary objective was to test the impact of different candidate messages on cervical screening intention strength.DesignA cross‐sectional online survey with randomized exposure to different candidate messages.MethodsWomen aged 50–64 years who were not intending to be screened when next invited were recruited through an online panel. Those meeting the inclusion criteria (n = 825) were randomized to one of three groups: (1) control group, (2) intervention group 1, (3) intervention group 2. Each intervention group saw three candidate messages. These included a descriptive social norms message, a diagram illustrating the likelihood of each possible screening outcome, a response efficacy message, a risk reduction message and an acknowledgement of the potential for screening discomfort. We tested age‐targeted versions (vs. generic) of some messages. The primary outcome was screening intention strength.ResultsAfter adjusting for baseline intention, social norms (p = .425), outcome expectancy (p = .367), risk reduction (p = .090), response efficacy (p = .136) and discomfort acknowledgement messages (p = .181) had no effect on intention strength. Age‐targeted messages did not result in greater intention than generic ones.ConclusionsThere was no evidence that a single message used to convey social norms, outcome expectancy, risk reduction or response efficacy had an impact on intention strength for older women who did not plan to be screened in future.