bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improve Resistance Spot Weld Quality of Press Hardened Steel by Using Stepped Current Pulse and External Magnetic Field
Authors: Li Zhuo-Ran , Chen Ruiming , Xia Yujun , Qi Lin , Lou Ming , Li Yongbing 
Published: September 2023

Abstract
Press-hardened steel (PHS) with extremely high strength has wide applications in vehicle body manufacturing as an innovative lightweight material. However, the poor weldability of PHS results in low weld toughness and a high risk of interfacial fracture, posing significant challenges to the resistance spot welding (RSW) process. Magnetically assisted RSW (MA-RSW) process, which introduces an external magnetic field in the welding process to perform electromagnetic stirring, has been shown to effectively improve the weld toughness for high-strength steel, although it may increase the risk of expulsion. To further improve the weldability of PHS, this study proposes a new process called stepped-current pulses magnetically assisted resistance spot welding (SPMA-RSW), which combines the MA-RSW with the stepped-current pulses (SP) method to enlarge the weld lobe. The study systematically investigates nugget appearance, microstructure, microhardness, and mechanical properties by comparing traditional RSW, MA-RSW and SPMA-RSW. The result showed that the SPMA-RSW process would significantly increase the nugget size, inhibit the shrinkage voids, refine the grain size and harden the nugget region of PHS welds, resulting in increased lap-shear strength and a transition from a brittle interfacial (IF) mode to a ductile button pullout fracture (BPF) mode at the same heat input. Specifically, the peak load and energy absorption were increased by 32.3% and 84.2%, respectively. This work can help improve the weld quality and thermal efficiency of the RSW process for PHS.
Multi-Criteria Decision-Making for Optimal Manufacturing Configuration Selection Using an Object-Oriented Data Model and Mathematical Formalization
Authors: Torayev Agajan , Wang Zi , Martínez-Arellano Giovanna , Chaplin Jack C. , Sanderson David , Ratchev Svetan 
Published: September 2023

Abstract
Modern manufacturing systems often cannot efficiently cope with rapid changes in market demands. A main challenge is the inability of current manufacturing systems to utilize the capabilities and capacities of manufacturing resources efficiently due to inefficient data models and adaptation algorithms. To deal with transiently changing market demands, manufacturing systems often either under-provision or over-provision resources. However, both under-provisioning and over-provisioning incur unnecessary costs. The lack of sufficient resources leads to missing opportunities for new work, and over-provisioning incurs a cost by wasting investment, time, maintenance, and other unused resources.
In this work, we optimize manufacturing configurations using the known capabilities and capacities of manufacturing equipment. In particular, the work provides an object-oriented data model that complements a manufacturing systems’ semantic model and the mathematical formalization of the data model for the multi-demand satisfaction problem.
The proposed methodology is validated by optimizing the planning for small-box hinged product assemblies in aerospace manufacturing. This product family comprises rudders and elevators, which share commonalities in functionality, size, and build philosophy. Therefore, they can be assembled in a reconfigurable environment with common pick and place, drilling, fastening, and inspection procedures.
Stable Matching With Contracts for a Dynamic Two-Sided Manufacturing-as-a-Service (MaaS) Marketplace
Authors: Pahwa Deepak , Dur Umut , Starly Binil 
Published: September 2023

Abstract
Two-sided manufacturing-as-a-service (MaaS) marketplaces connect clients requesting manufacturing services to suppliers providing those services. The matching mechanism that allocates clients’ orders to suppliers is a key design parameter of the marketplace platform. The platform might perform an allocation to maximize its revenue or optimize for social welfare of all participants. However, individual participants might not get maximum value from their match and reject it to form matches themselves (called blocking groups), thereby bypassing the platform. This paper considers the bipartite matching problem in MaaS marketplaces in a dynamic environment and proposes two matching solutions that limit the formation of blocking groups. Matching is based on non-strict, incomplete and interdependent preferences of participants over contracts, enabling negotiations between both sides. Simulations are used to test the mechanisms in a 3D printing services marketplace and evaluate the impact of stability on its performance. It is found that stable matching results in small degradation in social welfare of the marketplace but significantly better outcomes in terms of stability. Unstable matchings introduce anarchy into the marketplace with participants rejecting its allocation leading to performance poorer than stable matchings.
Regression-Based Surrogate Model for Rapid Prediction of Temperature Evolution in a Microscale Selective Laser Sintering System
Authors: Grose Joshua , Annaluru Ramakrishna , Foong C. S. , Cullinan Michael 
Published: September 2023

Abstract
Existing metal Additive Manufacturing (AM) tools suffer from limitations on the minimum feature sizes of their producible parts. The Microscale Selective Laser Sintering (μ-SLS) system directly addresses this restriction with a minimum part resolution on the order of a single micrometer. However, the production of parts at the micrometer scale is unreliable due to unwanted heat transfer in the nanoparticle powder bed. As a result, Finite Element thermal models are developed to predict the temperature evolution within the particle bed during sintering. These thermal models are not only computationally expensive, but also must be integrated into an iterative control framework to optimize the digital mask used to selectively control laser power, making it critical to enable quick temperature predictions. Therefore, this paper proposes a regression-based Machine Learning model to facilitate accurate and rapid predictions of the thermal evolution within the μ-SLS particle bed and subsequent optimization of the system input parameters. The regression model presented in this work uses an “Element-by-Element” approach, where machine learning models are trained on individual finite elements to learn the relationship between the conditions experienced by the element at the current timestep and the element’s temperature at the subsequent timestep. An existing bed-scale thermal model of the μ-SLS system is used to generate element by element training data for various regression models. Key features for each element include the temperature and applied volumetric heat generation of the selected element and its surrounding elements at the current timestep. Additional features are included that represent the spatial distribution of laser energy relative to the selected element. This feature vector is used to predict the temperature of the given element at the next timestep. Using this dataset, a feed-forward Artificial Neural Network with 3 hidden layers is used to predict the temperature evolution of a 2D powder-bed over a 2 second sintering window with high accuracy.
Perceived Constraints to Pickleball Participation Among Black Older Adults
Authors: Casper Jonathan M. , Kim Amy Chan Hyung , Bocarro Jason N. 
Published: September 2023

Pickleball offers sociopsychological and physical activity benefits for older adults but lacks racial diversity. The purpose of this study was to identify constraints to pickleball participation with Black older adults (65+ years) as well as examine differences based on physical activity and sex. A Qualtrics panel included Black older adults (N = 292) who have heard of pickleball and are physically able to play but have not played. Results found Knowledge, Accessibility, Interpersonal, and Interest were the most salient constraints overall. Multivariate analysis of variance found that those who report low physical activity had significantly higher Interpersonal, Psychological, Costs, and Perceived Racism constraints. Additionally, females report significantly higher Knowledge, Psychological, and Cost constraints compared to males. The results further the theoretical application of constraints to physical activity research and provide insights into practitioner implications to grow the sport of pickleball for Black older adults.
Examining the activity of cefepime-taniborbactam against
Burkholderia cepacia
complex and
Burkholderia gladioli
isolated from cystic fibrosis patients in the United States
Authors: Mojica Maria F. , Zeiser Elise T. , Becka Scott A. , LiPuma John J. , Six David A. , Moeck Greg , Papp-Wallace Krisztina M. 
Published: September 2023

ABSTRACT

The novel clinical-stage β-lactam-β-lactamase inhibitor combination, cefepime-taniborbactam, demonstrates promising activity toward many Gram-negative bacteria producing class A, B, C, and/or D β-lactamases. We tested this combination against a panel of 150
Burkholderia cepacia
complex (Bcc) and
Burkholderia gladioli
strains. The addition of taniborbactam to cefepime shifted cefepime minimum inhibitory concentrations toward the provisionally susceptible range in 59% of the isolates tested. Therefore, cefepime-taniborbactam possessed similar activity as first-line agents, ceftazidime and trimethoprim-sulfamethoxazole, supporting further development.
The plant pathogenic bacterium
Candidatus
Liberibacter solanacearum induces calcium-regulated autophagy in midgut cells of its insect vector
Bactericera trigonica
Authors: Sarkar Poulami , Jassar Ola , Ghanim Murad 
Published: September 2023

ABSTRACT

Autophagy plays an important role against pathogen infection in many organisms; however, little has been done with regard to vector-borne plant and animal pathogens, that sometimes replicate and cause deleterious effects in their vectors.
Candidatus
Liberibacter solanacearum (CLso) is a fastidious gram-negative phloem-restricted plant pathogen and vectored by the carrot psyllid,
Bactericera trigonica
. The plant disease caused by this bacterium is called carrot yellows and has recently gained much importance due to worldwide excessive economical losses. Here, we demonstrate that calcium ATPase, cytosolic calcium, and most importantly Beclin-1 have a role in regulating autophagy and its association with Liberibacter inside the psyllid. The presence of CLso generates reactive oxygen species and induces the expression of detoxification enzymes in the psyllid midguts, a main site for bacteria transmission. CLso also induces the expression of both sarco/endoplasmic reticulum Ca2+pump (SERCA) and 1,4,5-trisphosphate receptors (ITPR) in midguts, resulting in high levels of calcium in the cellular cytosol. Silencing these genes individually disrupted the calcium levels in the cytosol and resulted in direct effects on autophagy and subsequently on Liberibacter persistence and transmission. Inhibiting Beclin1-phosphorylation through different calcium-induced kinases altered the expression of autophagy and CLso titers and persistence. Based on our results obtained from the midgut, we suggest the existence of a direct correlation between cytosolic calcium levels, autophagy, and CLso persistence and transmission by the carrot psyllid.

IMPORTANCE
Plant diseases caused by vector-borne Liberibacter species are responsible for the most important economic losses in many agricultural sectors. Preventing these diseases relies mostly on chemical sprays against the insect vectors. Knowledge-based interference with the bacteria-vector interaction remains a promising approach as a sustainable solution. For unravelling how Liberibacter exploits molecular pathways in its insect vector for transmission, here, we show that the bacterium manipulates calcium levels on both sides of the endoplasmic reticulum membrane, resulting in manipulating autophagy. Silencing genes associated with these pathways disrupted the calcium levels in the cytosol and resulted in direct effects on autophagy and Liberibacter transmission. These results demonstrate major pathways that could be exploited for manipulating and controlling the disease transmission.
Understanding the Ries impact structure subsurface from high-resolution seismic data
Authors: McCall Naoma , Gulick Sean P.S. , Karro Kaidi , Jõeleht Argo , Wilk Jakob , Pösges Gisela 
Published: September 2023

Abstract
The Ries impact structure (southern Germany) formed ca. 15 Ma and is 22–26 km in diameter, making it one of the youngest and best-preserved mid-size terrestrial impact craters, yet the subsurface has not been studied with modern geophysics. We present the first high-resolution seismic profiles of the Ries impact structure; the profiles show discontinuous intra-basement reflectors and a central crater floor without a significant central topographic high. The inner crystalline ring sits adjacent to, not on top of, the crater terrace zone. These morphologies indicate that during the crater modification stage, the rebounding central uplift at Ries rose and then collapsed without the continued outward motion required to form a fully developed peak ring. The Ries impact structure may be best considered a transitional complex crater form between a central-peak crater and a peak-ring crater as documented on the Moon and other rocky planets. A series of high-amplitude, discontinuous, topographically influenced reflectors overlying the basement implies that the suevite within the crater basin was emplaced via lateral transport.
Effects of antituberculosis treatment on pregnancy outcomes in infertile women with genital tuberculosis: a systematic review
Authors: Flores-Lovon Kevin , Soriano-Moreno David R , Medina-Ramirez Sebastian A , Fernandez-Guzman Daniel , Caira-Chuquineyra Brenda , Fernandez-Morales Jared , Tuco Kimberly G , Turpo-Prieto John , Alave Jorge , Goicochea-Lugo Sergio 
Published: September 2023

ObjectivesTo evaluate the efficacy of antituberculosis therapy on pregnancy outcomes in infertile women with genital tuberculosis.DesignSystematic review.Data sourcesWe searched in PubMed/MEDLINE, CENTRAL and EMBASE up to 15 January 2023. Additionally, we manually search the reference lists of included studies.Eligibility criteriaWe included randomised controlled trials (RCT), non-RCTs (non-RCT) and cohort studies that evaluated the effects of antituberculosis treatment on pregnancy outcomes in infertile women with genital tuberculosis compared with not receiving antituberculosis treatment or receiving the treatment for a shorter period.Data extraction and synthesisTwo independent reviewers extracted data. We used Cochrane Risk of Bias 1.0 and Risk Of Bias In Non-randomised Studies tools for risk of bias assessment and meta-analysis was not performed. We used Grading of Recommendations, Assessment, Development and Evaluations approach to assess the certainty of the evidence.ResultsTwo RCTs and one non-RCT were included. The antituberculosis regimens were based on isoniazid, rifampicin, pyrazinamide and ethambutol for 6–12 months. In women without structural damage, very low certainty of evidence from one RCT showed that the antituberculosis treatment may have little to no effect on pregnancy, full-term pregnancy, abortion or intrauterine death and ectopic pregnancy, but the evidence is very uncertain. In women with structural damage, very low certainty of evidence from one non-RCT showed that the antituberculosis treatment may reduce the pregnancy rate (297 fewer per 1000, 95% CI −416 to −101), but the evidence is very uncertain. In addition, very low certainty of evidence from one RCT compared a 9-month vs 6-month antituberculosis treatment regimen showed similar effects between the schemes, but the evidence is very uncertain. Two RCTs reported that no adverse events of antituberculosis treatment were noted or were similar in both groups.ConclusionThe effect of antituberculosis treatment on pregnancy outcomes in infertile women with genital tuberculosis is very uncertain.PROSPERO registration numberCRD42022273145.
NEUROCANTRIAL: study protocol for a randomised controlled trial of a pain neuroscience education programme in adults with cancer pain
Authors: Ordoñez-Mora Leidy Tatiana , Rosero Ilem D , Morales-Osorio Marco Antonio , Guil Rocío , Quintero Jordan Giancarlo , Agudelo Jimenez Julian Alberto , Gonzalez-Ruiz Katherine , Avila-Valencia Juan Carlos 
Published: September 2023

IntroductionPain is the second most frequent symptom reported in patients with cancer among the main reasons for consultation. The incorporation of educational modalities in pain intervention processes has been suggested. This study aims to examine the efficacy of neuroscience pain education (PNE) in relation to pain, biopsychosocial variables and functional capacity in comparison with conventional treatment. It is hypothesised that an intervention based on PNE achieves better outcomes than conventional management, in terms of pain, biopsychosocial variables and functional capacity in adults with oncological pain.Methods and analysisThis will be a single-blind, controlled clinical trial in which two groups will be compared using changes in pain as the primary measure. The first group will receive conventional treatment in addition to PNE, and participants will undergo an intervention of nine sessions (one session per week, for a total of 9 weeks), each lasting 30–40 min. Specifically, these sessions will teach biophysiological elements using metaphors that allow the adoption of these concepts related to pain. The second group will receive conventional treatment (pharmacological treatment). For this study, a sample size calculation was made based on the background, where 80 adults with oncological pain were required. An initial evaluation will be made to establish the baseline characteristics, and then, according to the randomisation, the assignment to the PNE group or the control group will be made and the two groups will be summoned again. Ten weeks later, for the intervention evaluation, the statistical analysis plan will be established by protocol and by intention-to-treat.Ethics and disseminationThis protocol complies with all ethical considerations. The authors commit to presenting the study’s results. This study was approved by the ethics committees of the Universidad Santiago de Cali, Clínica de Occidente/Angiografía de Occidente. The authors commit to presenting the study’s results.Trial registration numberNCT05581784.
Efficacy and safety of oropharyngeal muscle strength training on poststroke oropharyngeal dysphagia: a systematic review and meta-analysis
Authors: Gao Minxing , Xu Lingyuan , Wang Xin , Yang Xiaoqiu , Wang Ying , Wang Heying , Song Jinan , Zhou Fenghua 
Published: September 2023

ObjectivesTo investigate how oropharyngeal muscle strength training affected the safety and performance of swallowing in patients with poststroke oropharyngeal dysphagia.DesignSystematic review and meta-analysis.Data sourcesCochrane Central Register of Controlled of Trials, Web of Science, PubMed, Embase databases and ClinicalTrials.gov were systematically searched, for publications in English, from database inception to December 2022.Eligibility criteriaStudies comparing the effect of oropharyngeal muscle strength training with conventional dysphagia therapy in patients with poststroke. Penetration-Aspiration Scale (PAS) and Functional Oral Intake Scale (FOIS) were assessed as the main outcomes.Data extraction and synthesisTwo researchers independently screened the literature, extracted data and evaluated the quality of the included studies, with disagreements resolved by another researcher. The Cochrane risk-of-bias tool was used to assess the risk of bias. Review Manager V.5.3 was employed for the meta-analysis. Random effect models were used for meta-analysis.ResultsSeven studies with 259 participants were included in this meta-analysis. The results showed that oropharyngeal muscle strength training could reduce PAS score compared with conventional dysphagia therapy (mean difference=−0.98, 95% CI −1.34 to −0.62, p<0.0001, I2=28%). The results also showed that oropharyngeal muscle strength training could increase FOIS score (mean difference=1.04, 95% CI 0.55 to 1.54, p<0.0001, I2=0%) and the vertical displacement of the hyoid bone (mean difference=0.20, 95% CI 0.01 to 0.38, p=0.04, I2=0%) compared with conventional dysphagia therapy.ConclusionIn patients with poststroke oropharyngeal dysphagia, oropharyngeal muscle strength training can improve swallowing safety and performance.PROSPERO registration numberCRD42022302471.
Identifying potential biases in code sequences in primary care electronic healthcare records: a retrospective cohort study of the determinants of code frequency
Authors: Beaney Thomas , Clarke Jonathan , Salman David , Woodcock Thomas , Majeed Azeem , Barahona Mauricio , Aylin Paul 
Published: September 2023

ObjectivesTo determine whether the frequency of diagnostic codes for long-term conditions (LTCs) in primary care electronic healthcare records (EHRs) is associated with (1) disease coding incentives, (2) General Practice (GP), (3) patient sociodemographic characteristics and (4) calendar year of diagnosis.DesignRetrospective cohort study.SettingGPs in England from 2015 to 2022 contributing to the Clinical Practice Research Datalink Aurum dataset.ParticipantsAll patients registered to a GP with at least one incident LTC diagnosed between 1 January 2015 and 31 December 2019.Primary and secondary outcome measuresThe number of diagnostic codes for an LTC in (1) the first and (2) the second year following diagnosis, stratified by inclusion in the Quality and Outcomes Framework (QOF) financial incentive programme.Results3 113 724 patients were included, with 7 723 365 incident LTCs. Conditions included in QOF had higher rates of annual coding than conditions not included in QOF (1.03 vs 0.32 per year, p<0.0001). There was significant variation in code frequency by GP which was not explained by patient sociodemographics. We found significant associations with patient sociodemographics, with a trend towards higher coding rates in people living in areas of higher deprivation for both QOF and non-QOF conditions. Code frequency was lower for conditions with follow-up time in 2020, associated with the onset of the COVID-19 pandemic.ConclusionsThe frequency of diagnostic codes for newly diagnosed LTCs is influenced by factors including patient sociodemographics, disease inclusion in QOF, GP practice and the impact of the COVID-19 pandemic. Natural language processing or other methods using temporally ordered code sequences should account for these factors to minimise potential bias.