bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factorial design–machine learning approach for predicting incident durations
Authors: Hamad Khaled , Obaid Lubna , Haridy Salah , Zeiada Waleed , Al‐Khateeb Ghazi 
Published: June 2022

AbstractThis research proposes a hybrid approach for predicting incident duration that integrates the salient features of both factorial design of experiments (DOE) and machine learning (ML). This study compares DOE with another widely used technique, forward sequential feature selection (FSFS). Moreover, to confirm the effectiveness and robustness of the proposed approach, multiple ML techniques are employed, including linear regression, decision trees, support vector machines, ensemble trees, Gaussian process regression, and artificial neural networks. The study results are validated using data from the Houston TranStar incidents archive with over 90,000 records. The accuracy of the developed predictive models is compared based on multiple techniques (i.e., no feature selection–ML, FSFS–ML, and DOE–ML). The results revealed that the significant factors affecting incident duration identified by both DOE and FSFS include the type of vehicles involved, type of lanes affected, number of vehicles involved, number of emergency responses dispatched, incident severity level, and day of the week. The comparative results of the different feature selection and modeling approaches revealed that the hybrid DOE–ML approach outperformed the other tested analysis approaches. The best‐performing model under the DOE–ML approach was the SVM with cubic kernel model. It reduced the modeling time by 83.8% while increasing the prediction error by merely 0.02%, which is not significant. Therefore, the prediction accuracy could be slightly downgraded in return for a substantial reduction in the number of variables utilized, resulting in substantial savings in the modeling time and required dataset.
MAOA‐LPR polymorphism and math anxiety: A marker of genetic susceptibility to social influences in girls?
Authors: Carvalho Maria Raquel Santos , Barbosa de Carvalho André Henrique , Paiva Giulia Moreira , Andrade Jorge Carolina de Castro , dos Santos Fernanda Caroline , Koltermann Gabriella , de Salles Jerusa Fumagalli , Moeller Korbinian , Maia de Oliveira Wood Guilherme , Haase Vitor Geraldi 
Published: June 2022

AbstractMath anxiety (MA) seems to result from an interaction of genetic vulnerability with negative experiences learning mathematics. Although mathematics achievement does not substantially differ between the sexes, MA levels are usually higher in girls. Molecular genetic markers of MA vulnerability have been seldom explored. This article examines the contribution of the monoamine oxidase A gene (MAOA) to MA and to sex differences in MA. Five hundred and sixty‐eight third to fifth graders were genotyped for the MAOA‐LPR polymorphism (a repetitive element in MAOA promoter that has been associated with MAOA enzymatic activity), and assessed on general cognitive ability, mathematics achievement, and the cognitive and affective dimensions of MA. MAOA‐LPR genotypes were classified as high (MAOA‐H) or low (MAOA‐L) according to their predicted enzymatic activity. Mixed models controlling for effects of school, sex, general cognitive ability, and mathematics achievement were evaluated. The best fitting model included school, math achievement, sex, MAOA‐LPR, and the MAOA‐LPR by sex interaction. This indicated that under the MAOA‐H dominant model, anxiety toward mathematics interacted with the MAOA genotype: girls with an MAOA‐L genotype exhibited higher levels of MA, with a small but significant effect. The association between MAOA‐L genotype and MA in girls may represent an example of developmental plasticity.
Thinking for the future: Phytoextraction of cadmium using primed plants for sustainable soil clean‐up
Authors: Karalija Erna , Selović Alisa , Bešta‐Gajević Renata , Šamec Dunja 
Published: June 2022

AbstractCadmium (Cd) soil contamination is a global problem for food security due to its ubiquity, toxicity at low levels, persistence, and bioaccumulation in living organisms. Humans' intake of heavy metals is usually due to direct contact with contaminated soil, through the food chain (Cd accumulation in crops and edible plants) or through drinking water in cases of coupled groundwater‐surface water systems. Phytoextraction is one of the eco‐friendly, sustainable solutions that can be used as a method for soil clean‐up with the possibility of re‐use of extracted metals through phytomining. Phytoextraction is often limited by the tolerance level of hyperaccumulating plants and the restriction of their growth. Mechanisms of hyperaccumulation of heavy metals in tolerant species have been studied, but there are almost no data on mechanisms of further improvement of the accumulation capacity of such plants. Priming can influence plant stress tolerance by the initiation of mild stress cues resulting in acclimation of the plant. The potential of plant priming in abiotic stress tolerance has been extensively investigated using different types of molecules that are supplemented exogenously to plant organs (roots, leaves, etc.), resulting in enhanced tolerance of abiotic stress. This review focuses on mechanisms of enhancement of plant stress tolerance in hyperaccumulating plants for their exploitation in phytoextraction processes.
OsSPL14 acts upstream of OsPIN1b and PILS6b to modulate axillary bud outgrowth by fine‐tuning auxin transport in rice
Authors: Li Yan , He Yizhou , Liu Zhixin , Qin Tian , Wang Lei , Chen Zhihui , Zhang Biaoming , Zhang Haitao , Li Haitao , Liu Li , Zhang Jian , Yuan Wenya 
Published: June 2022

SUMMARYAs a multigenic trait, rice tillering can optimize plant architecture for the maximum agronomic yield. SQUAMOSA PROMOTER BINDING PROTEIN‐LIKE14 (OsSPL14) has been demonstrated to be necessary and sufficient to inhibit rice branching, but the underlying mechanism remains largely unclear. Here, we demonstrated that OsSPL14, which is cleaved by miR529 and miR156, inhibits tillering by fine‐tuning auxin transport in rice. RNA interference of OsSPL14 or miR529 and miR156 overexpression significantly increased the tiller number, whereas OsSPL14 overexpression decreased the tiller number. Histological analysis revealed that the OsSPL14‐overexpressing line had normal initiation of axillary buds but inhibited outgrowth of tillers. Moreover, OsSPL14 was found to be responsive to indole‐acetic acid and 1‐naphthylphthalamic acid, and RNA interference of OsSPL14 reduced polar auxin transport and increased 1‐naphthylphthalamic acid sensitivity of rice plants. Further analysis revealed that OsSPL14 directly binds to the promoter of PIN‐FORMED 1b (OsPIN1b) and PIN‐LIKE6b (PILS6b) to regulate their expression positively. OsPIN1b and PILS6b were highly expressed in axillary buds and proved involved in bud outgrowth. Loss of function of OsPIN1b or PILS6b increased the tiller number of rice. Taken together, our findings suggested that OsSPL14 could control axillary bud outgrowth and tiller number by activating the expression of OsPIN1b and PILS6b to fine‐tune auxin transport in rice.
An Experimental Investigation of the Influence of the State of Stress on the Ductile Fracture of 2024-T351 Aluminum
Authors: Seidt Jeremy D. , Park Chung-Kyu , Buyuk Murat , Lowe Robert L. , Wang Leyu , Carney Kelly S. , Du Bois Paul , Gilat Amos , Kan Cing-Dao 
Published: June 2022

Abstract
This paper investigates the influence of stress state on the equivalent plastic fracture strain in 2024-T351 aluminum alloy. Eighteen unique stress states at failure—with triaxialities ranging from 0.388 (compressive) to −0.891 (tensile) and Lode parameters ranging from −0.978 to 1.000—are explored through mechanical experiments on 2024-T351 aluminum specimens with various geometries under multiple loading conditions. These include tension tests of plane stress (thin), plane strain (thick), and axisymmetric specimens, as well as pure shear and combined axial–torsional loading on thin-walled tubes. Using a hybrid numerical–experimental approach, the dependence of fracture strain on stress triaxiality and Lode parameter is quantified for each experiment. Fracture strains are measured using three-dimensional digital image correlation. Equivalent plastic fracture strain for 2024-T351 generally increases with stress triaxiality (moving toward a more compressive state). Fracture strain decreases modestly as the Lode parameter decreases from 1 to 0, although there is a significant increase in ductility as the Lode parameter decreases below −0.8. Compression–torsion tests extend the data’s stress-space coverage well into the compressive triaxiality region (up to 0.388) and to Lode parameters approaching −1. This experimental program provides the most extensive set of ductile fracture data from a single 12.7-mm-thick 2024-T351 aluminum plate in the literature. These data can be used to calibrate ductile fracture models used in finite element simulations of dynamic events such as bird strikes, automotive collisions, and debris containment.
Genetic Algorithm Optimization of Deep Structured Classifier-Predictor Models for Pressure Transient Analysis
Authors: Kumar Pandey Rakesh , Kumar Anil , Mandal Ajay , Vaferi Behzad 
Published: June 2022

Abstract
This research aims to optimize deep learning models constituting long short-term memory and dense neural networks using the genetic algorithm (GA). This novel scenario has been applied to automatically identify reservoir types (homogeneous and natural fracture) and their external boundaries (infinite acting, circularly closed, and constant pressure) and estimate the related parameters. The suggested scenario includes two classifiers and 48 predictors to handle reservoir/boundary model detection and parameter estimation simultaneously. This methodology can recognize the reservoir/boundary models and predict wellbore storage constant, storativity ratio, skin factor (S), CD (dimensionless wellbore storage constant) × e2S, and inter-porosity flow coefficient. The pressure signals required for training the classifier and predictor models have been simulated by solving governing equations with added noise percentages. The hyperparameters of the intelligent models have been carefully tuned using the genetic algorithm to improve their classification/prediction accuracy. The GA-optimized classifier attained 94.79% and 94.29% accuracy over the training and testing groups of the pressure transient signal, respectively. The separately trained 24 optimized predictors converged well to estimate the reservoir parameters. The reliability of the proposed scenario has also been validated using two actual-field well-testing signals. The results indicate that the suggested procedure accurately identifies the reservoir/boundary model and efficiently approximates the associated parameters.
Coalitions for Sustainable Finance and Sustainable Development
Authors: Danilov Yu. A. 
Published: June 2022

Abstract
This article deals with the formation of coalitions for sustainable development and sustainable finance in developed countries and in Russia. In developed countries, broad national coalitions for sustainable development have been formed based on the initially established industry coalitions of investors and financial institutions for sustainable finance. The ideological core of such coalitions is the idea of new models of capitalism based on the principles of sustainable development as an ideal social structure. The concepts of stakeholder capitalism and the impact or caring economy are examples of such models. In Russia, similar coalitions are much narrower because of the imitation of following the environmental, social, and governance (ESG) principles and mass greenwashing. At the same time, there are objective factors that can lead to the expansion of ESG coalitions and strengthening incentives for the implementation of a sustainable development model in Russia.
Socialist Modernization of Agriculture: Projects and Implementation
Authors: Il’inykh V. 
Published: June 2022

Abstract
This article reconstructs the models of the socialist modernization of agriculture developed at the end of the 1920s and start of the 1930s: collective-farm-cooperative, state-farm-collective-farm, and agrarian-industrial. The characteristic of the agrarian system formed in the course of mass collectivization, which radically differs from the theoretical constructions accepted for implementation, is given. The grounds and content of the organizational and economic restructuring of the agrarian sector of the economy in the second half of the 1950s are analyzed. The representation developed in the mid-1960s by V.G. Venger of the project of reforming socialist agriculture is carried out and the factors why it was not implemented are determined.
The Community in the Minds and Behavior of the Russian Peasantry in the Context of the Reforms and Revolutions in the First Third of the Twentieth Century
Authors: Sukhova Olga 
Published: June 2022

Abstract
The representations of the community and communality in the minds and behavior of the Russian peasantry are studied. The author analyzes the change in the functionality and features of the evolution of models of solidarized behavior in the context of reforms and revolutions in Russia/the Soviet Union at the end of the 19th and the first third of the 20th centuries. The socio-political interaction in the community–state opposition is seen as a manifestation of the reactions of open systems to external challenges and the desire to maintain a state of equilibrium, to adapt and/or to resist. The thesis about the conditionality of the repetition of the cycles of the revival of the community is substantiated by the institutionalization of the self-organization of the local community in order to achieve and protect vital interests. The key factor in the death of the community in the early 1930s is revealed: the formation of a special system of administrative management, excluding any opportunities for the self-organization of the peasantry. The analysis of the evolution of self-regulation practices regulated by law and tradition—the institutions of the rural assembly and land redistribution—is of considerable interest. One of the significant aspects of the problem is the consideration of the entire arsenal of the means of social resistance of the community, including the most radical forms related to manifestations of social aggression.
Multicountry review: developmental surveillance, assessment and care by outpatient paediatricians
Authors: Coscini Nadia , Heyes Priya , Bedford Helen , Cohen Eyal , D’Aprano Anita , Goldfeld Sharon , Hargreaves Dougal , Loveday Sarah , Nejat Sahar , Roberts Gehan , Sarkadi Anna , Saunders Natasha Ruth , Woolfenden Susan , Milner Kate 
Published: June 2022

BackgroundCare of young children with neurodevelopmental disorders (NDD) is a major component of paediatric outpatient practice. However, cross-country practice reviews to date have been limited, and available data demonstrate missed opportunities for early identification, particularly in vulnerable population subgroups.MethodsMulticountry review of national paediatric body guidance related to developmental surveillance, early identification and early childhood intervention together with review of outpatient paediatrician practices for developmental assessment of children aged 0–5 years with/at risk of NDDs. Review included five countries with comparable nationalised universal child healthcare systems (ie, Australia, Canada, New Zealand, Sweden and the UK). Data were collected using a combination of published and grey literature review, supplemented by additional local sources with descriptive review of relevant data points.ResultsCountries had broadly similar systems for early identification of young children with NDDs alongside universal child health surveillance. However, variation existed in national paediatric guidance, paediatric developmental training and practice, including variable roles of paediatricians in developmental surveillance at primary care level. Data on coverage of developmental surveillance, content and quality of paediatric development assessment practices were notably lacking.ConclusionPaediatricians play an important role in ensuring equitable access to early identification and intervention for young children with/at risk of NDDs. However, strengthening paediatric outpatient care of children with NDD requires clearer guidance across contexts; training that is responsive to shifting roles within interdisciplinary models of developmental assessment and improved data to enhance equity and quality of developmental assessment for children with/at risk of NDDs.
Factors that may improve paediatric workplace-based assessments: an exploratory study
Authors: Jefferies Kimberley 
Published: June 2022

ObjectivesTo establish if paediatric trainees are satisfied with the current workplace-based assessment (WBA) process. To identify factors that contribute both positively and negatively to the educational experience during WBAs. To find out if trainees and their supervisors experience any challenges conducting WBAs. To establish potential ways to improve future assessments.DesignQualitative semistructured interviews.SettingParticipants included fifteen trainees (ST1–8) in general paediatric and subspecialty posts and four consultants or equivalent across five hospital sites in the Thames Valley Deanery. All participants had regular exposure to WBAs.InterventionsInterviews were undertaken between June 2020 and January 2021 via video link. Data collection and analysis were conducted iteratively using constant comparison until theoretical sufficiency was achieved.Main outcome measureUsing Constructivist Grounded Theory, a theoretical framework, grounded in the data, was developed that depicted the core elements that should be present to optimise WBAs.ResultsA number of key components were reported to affect the educational value of WBAs. A positive departmental culture towards education and training is essential. Chosen cases should be challenging, and direct observation or in-depth discussion, depending on the assessment type, is fundamental. Timely constructive feedback and immediate completion of the assessment form are also imperative.ConclusionSome trainees experienced WBAs where these key components aligned, but many did not, and this negatively affected their learning. Three main challenges or future targets for further improvements include increasing time, improving training and optimising technology.
Attitudes and adherence to changes in nutrition and physical activity following surgery for prostate cancer: a qualitative study
Authors: Robles Luke A , Shingler Ellie , McGeagh Lucy , Rowe Edward , Koupparis Anthony , Bahl Amit , Shiridzinomwa Constance , Persad Raj , Martin Richard M , Lane J Athene 
Published: June 2022

ObjectivesInterventions designed to improve men’s diet and physical activity (PA) have been recommended as methods of cancer prevention. However, little is known about specific factors that support men’s adherence to these health behaviour changes, which could inform theory-led diet and PA interventions. We aimed to explore these factors in men following prostatectomy for prostate cancer (PCa).Design, setting and participantsA qualitative study using semistructured interviews with men, who made changes to their diet and/or PA as part of a factorial randomised controlled trial conducted at a single hospital in South West England. Participants were 17 men aged 66 years, diagnosed with localised PCa and underwent prostatectomy. Interview transcripts underwent thematic analysis.ResultsMen were ambivalent about the relationship of nutrition and PA with PCa risk. They believed their diet and level of PA were reasonable before being randomised to their interventions. Men identified several barriers and facilitators to performing these new behaviours. Barriers included tolerance to dietary changes, PA limitations and external obstacles. Facilitators included partner involvement in diet, habit formation and brisk walking as an individual activity. Men discussed positive effects associated with brisk walking, such as feeling healthier, but not with nutrition interventions.ConclusionsThe facilitators to behaviour change suggest that adherence to trial interventions can be supported using well-established behaviour change models. Future studies may benefit from theory-based interventions to support adherence to diet and PA behaviour changes in men diagnosed with PCa.
Effects of message framing on self-management behaviour among patients with type 2 diabetes: a randomised controlled trial protocol
Authors: Gao Ruitong , Guo Hui , Liu Yandi , Pang Yue , Zhang Xin , Lian Xiaoqian , Yu Tianyue , Zhu Lanyu , Li Feng 
Published: June 2022

IntroductionAccumulating evidence has indicated successful diabetes health education can potentially help to improve blood sugar levels in people with diabetes. However, with a rapid rise in the number of people with diabetes cases and the increasing burden on healthcare, it is often difficult for healthcare providers to find suitable time to provide health education to meet their needs. Thus, more novel and effective ways are needed to conduct education. The message frame provides a new perspective for implementation of a more effective health education in the form of changing information presentation, and the same objective content is described in either positive or negative language or outcomes. Gain framing emphasises the positive consequences of adhering to useful recommendations, while loss framing highlights the negative consequences of the non-adherence. The purpose of our research is to potentially explore the effectiveness of diabetes education based on message framing on the self-management behaviour.Methods and analysisA single-blind, three-arm randomised controlled trial involving 84 participants will be conducted. The participants will be assigned into three groups randomly in a 1:1:1 ratio and will receive 12-week intervention. Patients in group 1 will be provided gain framing education videos about the self-management skills for type 2 diabetes, patients in group 2 will be given education videos based on loss framing and patients in group 3 will receive education with no specific message framing. The primary outcome is self-management behaviour. The secondary outcomes will be self-efficacy, patient activation, diabetes-related knowledge and attitude, quality of life and blood glucose level. All outcomes will be measured at baseline and 12 weeks.Ethics and disseminationThis study was approved by the Ethics Committee of School of Nursing, Jilin University (No. 2020101501). The research results will be published in peer-reviewed publications and presented in international conferences.Trial registration numberChiCTR 2100045772; Pre-results.