bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimating Biochemical Concentration in Food Using Untargeted Metabolomics
Authors: Sebek Michael , Menichetti Giulia , Barabási Albert-László 
Published: December 2022

AbstractUntargeted metabolomics can detect hundreds of biochemicals in food, yet without standards, it cannot quantify them. Here we show that we can take advantage of the universal scaling of nutrient concentrations to estimate the concentration of all biochemicals detected by untargeted metabolomics. We validate our method on 20 raw foods, finding an excellent agreement between the predicted and the experimentally observed concentrations.
Field testing of an enzymatic quorum quencher coating additive to reduce biocorrosion of steel
Authors: Huang Siqian , Bergonzi Celine , Smith Sherry , Hicks Randall E. , Elias Mikael H. 
Published: December 2022

AbstractMicrobial colonization can be detrimental to the integrity of metal surfaces and lead to microbiologically influenced corrosion (MIC). Biocorrosion is a serious problem for aquatic and marine industries in the world and severely affects the maritime transportation industry by destroying port infrastructure and increasing fuel usage and the time and cost required for maintenance of transport vessels. Here, we evaluate the potential of a stable quorum quenching lactonase enzyme to reduce biocorrosion in the field. Over the course of 21 months, steel samples coated with lactonase-containing acrylic paint were submerged at two different sites and depths in the Duluth Superior Harbor (DSH; Lake Superior, MN, USA) and benchmarked against controls, including the biological biocide surfactin. In this experiment, the lactonase treatment outperformed the surfactin biocide treatment and significantly reduced the number of corrosion tubercles (37% (p<0.01)) and the corroded surface area (39% (p<0.01)) as compared to the acrylic-coated control coupons. In an attempt to evaluate the effects of signal disruption of surface microbial communities and the reasons for lower corrosion levels, 16S rRNA sequencing was performed and community populations were analyzed. Interestingly, surface communities were similar between all treatments, and only minor changes could be observed. Among these changes, several groups including sulfate-reducing bacteria (SRBs) appeared to correlate with corrosion levels, and more specifically, SRBs abundance levels were lower on lactonase treated steel coupons. We surmise that these minute community changes may have large impacts on corrosion rates. Overall, these results highlight the potential use of stable quorum quenching lactonases as an eco-friendly antifouling coating additive.
Robust dimethyl-based multiplex-DIA workflow doubles single-cell proteome depth via a reference channel
Authors: Thielert Marvin , Itang Corazon Ericka Mae , Ammar Constantin , Schober Florian A , Bludau Isabell , Skowronek Patricia , Wahle Maria , Zeng Wen-Feng , Zhou Xie-Xuan , Brunner Andreas-David , Richter Sabrina , Theis Fabian J , Steger Martin , Mann Matthias 
Published: December 2022

AbstractSingle-cell proteomics aims to characterize biological function and heterogeneity at the level of proteins in an unbiased manner. It is currently limited in proteomic depth, throughput and robustness, a challenge that we address here by a streamlined multiplexed workflow using data-independent acquisition (mDIA). We demonstrate automated and complete dimethyl labeling of bulk or single-cell samples, without losing proteomic depth. In single runs of mammalian cells, a three-plex analysis of tryptic peptides quantified 7,700 proteins per channel. The Lys-N enzyme enables five-plex quantification at MS1 and MS2 level. Because the multiplex channels are quantitatively isolated from each other, mDIA accommodates a reference channel that does not interfere with the target channels. Our algorithm RefQuant takes advantage of this feature and confidently quantifies close to 4,000 proteins in single cells with excellent reproducibility, while our workflow currently allows routine analysis of 80 single cells per day. The concept of a stable proteome still holds at this deeper proteome coverage.
To build the soul of the socialist political economy with Chinese characteristics
Authors: Hong Yinxing 
Published: December 2022

PurposeThe socialist political economy with Chinese characteristics is the scientific fruit of Xi Jinping thought on socialist economy with Chinese characteristics for a new era. People-centred philosophy is the core values of the Communist Party of China (CPC) Central Committee's governance of China with Xi Jinping as the core and has become the core values of the socialist political economy with Chinese characteristics. According to Xi Jinping thought on socialist economy with Chinese characteristics, it represents the interests of all people and determines the disciplinary attribute of the socialist political economy with Chinese characteristics, that is, people-centred economics. Xi Jinping has defined the essence of the socialism as eliminating poverty, improving people's livelihood and gradually realising common prosperity. That determines the main line of socialist political economy with Chinese characteristics is to liberate, develop and protect the productive forces and achieve common prosperity. This study aims to discuss the aforementioned statements.Design/methodology/approachXi Jinping's scientific judgement on the new stage of development and the principal contradiction facing Chinese society has put forward the requirement of problem orientation for the study of socialist political economy with Chinese characteristics, involving the main contradiction facing Chinese society, high-quality development and modernisation. China's socialist basic economic system consists of a socialist market economy in which public ownership plays the leading role alongside other forms of ownership and distribution according to work is the mainstay, while other forms of distribution coexist alongside it. And this socialist basic economic system, marked out from three dimensions—production, distribution and exchange analysis, is the key of analysis of systems in the socialist political economy with Chinese characteristics. The economic operation analysis in political economy mainly involves resource allocation and the government's macroeconomic regulation and control.FindingsThe new thought and new practices about the role of the market and the government in the new era have opened up a new realm for the economic operation analysis in the socialist political economy with Chinese characteristics. The new development philosophy and new development paradigm define the content of the economic development theory in the socialist political economy with Chinese characteristics. The new development paradigm reflects the dual circulation theory of social reproduction.Originality/valueThe socialist political economy with Chinese characteristics is to study laws of economics in various aspects from economic system, economic operation, economic development to foreign economy and provide the basic principles of socialist political economy with Chinese characteristics. Its mainstream economic position will be consolidated continuously.
Identifying surface points based on machine learning algorithms: a comprehensive analysis
Authors: Bulut Vahide 
Published: December 2022

PurposeSurface curvature is needed to analyze the range data of real objects and is widely applied in object recognition and segmentation, robotics, and computer vision. Therefore, it is not easy to estimate the curvature of the scanned data. In recent years, machine learning classification methods have gained importance in various fields such as finance, health, engineering, etc. The purpose of this study is to classify surface points based on principal curvatures to find the best method for determining surface point types.Design/methodology/approachA feature selection method is presented to find the best feature vector that achieves the highest accuracy. For this reason, ten different feature selections are used and six sample datasets of different sizes are classified using these feature vectors.FindingsThe author examined the surface examples based on the feature vector using the machine learning classification methods. Also, the author compared the results for each experiment.Originality/valueTo the best of the author's knowledge, this is the first study to examine surface points according to principal curvatures using machine learning classification methods.
From offline to online: understanding users' switching intentions from traditional wealth management services to mobile wealth management applications
Authors: Lee Jung-Chieh , Wang Jing 
Published: December 2022

PurposeFinancial technology (Fintech) brings about innovative financial services, such as the possibility of introducing mobile wealth management applications (apps) into consumers' lives. Despite the rapid development of such apps, few studies have focused on users' switching intentions from traditional wealth management services to mobile settings (apps).Design/methodology/approachThrough a survey research method, a total of 378 responses were collected to examine the model. The partial least squares (PLS) technique was employed for data analysis.FindingsTo fill this research gap, this paper adopts a push-pull-mooring (PPM) theoretical framework to develop a model for exploring users' switching intentions. According to the empirical results, several push (i.e. perceived inconvenience), pull (i.e. transaction efficiency, perceived personalization and mobile wealth management scenarios) or mooring (i.e. product market expertise and affective commitment) factors are identified that significantly affect switching intention. This study provides theoretical contributions and practical implications for the existing wealth management literature and also offers future research directions.Originality/valueThis study innovatively extends the PPM framework to the traditional and mobile wealth management domains to understand users' switching intentions from offline wealth management services to mobile wealth management apps. The authors uncover several push, pull and mooring factors that are critical for determining users’ switching decisions.
Physical properties of wood-based materials for liquid deposition modeling
Authors: Rosenthal Michael , Rüggeberg Markus , Gerber Christian , Beyrich Lukas , Faludi Jeremy 
Published: December 2022

Purpose
The purpose of this study is to quantify the vertical shrinkage rates and the mechanical strength of three-dimensional (3D) printed parts for a variety of wood-based materials for liquid deposition modeling.

Design/methodology/approach
The overall hypothesis was that a well-chosen combination of binders, fibers and fillers could reduce shrinkage in the Z dimension and increase compressive and flexural strength (DIN 52185, 52186). To test this assumption, eight sub-hypotheses were formulated. Mixtures of the ingredients were chosen in different ratios to measure the performance of prints. For time efficiency, an iterative heuristic approach was used – not testing all variations of all variables in even increments, but cutting off lines of testing when mixtures were clearly performing poorly.

Findings
The results showed that some mixtures had high dimensional accuracy and strength, while others had neither, and others had one but not the other. Shrinkage of 3D printed objects was mainly caused by water release during drying. An increase of the wood as well as the cement, sand, salt and gypsum content led to reduced vertical shrinkage, which varied between 0 and 23%. Compressive and flexural strength showed mixed trends. An increase in wood and salt content worsened both strength properties. The addition of fibers improved flexural, and the addition of cement improved compression strength. The highest strength values of 14 MPa for compressive and 8 MPa for flexural strength were obtained in the test series with gypsum.

Originality/value
This paper is an important milestone in the development of environmentally friendly materials for additive manufacturing. The potential of many ingredients to improve physical properties could be demonstrated.
No risk—no fun: Penalty and recovery from spring frost damage in deciduous temperate trees
Authors: Baumgarten Frederik , Gessler Arthur , Vitasse Yann 
Published: December 2022

Abstract

Phenological shifts in response to changing climatic conditions is a key acclimation process for the persistence of perennial plants in temperate and boreal climates. The optimal time to leaf‐out is the result of an evolutionary process determined by the trade‐off between minimizing the risk of freezing damages and herbivory pressure while maximizing resource uptake to increase competitiveness against the other plants.

We quantified the penalty exerted by frost damage at the time of leaf emergence on plant development (reduction in leaf area, canopy duration and growth) over the potential gains without frost (increased biomass and non‐structural carbohydrate reserves), depending on when leaf‐out occurs. To this purpose, we exposed 960 saplings of four temperate deciduous tree species with contrasting cold hardiness to two frost intensities shortly after leaf emergence, which was artificially induced at four occasions to reflect the whole range of natural leaf‐out dates.

One year above‐ground biomass (AGB) increments following the frost revealed a clear ranking among the species depending on their strategy to cope with damaging frosts. Prunus avium (−41% of AGB‐increment compared to control saplings) resprouted from the stem base, Quercus robur (−62%) rapidly produced new leaves from dormant reserve buds, Fagus sylvatica (−98%) showed highest chlorophyll content in autumn and delayed senescence together with Carpinus betulus (−105%), which overcompensated NSC reserves after the growing season but showed highest mortality (up to 32%). In all species, NSC reserves recovered rapidly to control levels at the expense of growth.

The timing of leaf‐out (advanced and delayed artificially) significantly affected the performance and recovery (regreening and growth) of both frozen and non‐frozen saplings, with the lowest performance found at the most delayed leaf‐out date. We propose that the potential to recover from frost damages is an important component of a tree's performance, particularly at the juvenile stage. The ability to recover may become even more decisive in the future with the predicted increase of false springs in many extratropical regions.

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Seismic data interpolation using deeply supervised U‐Net++ with natural seismic training sets
Authors: Wu Geng , Liu Yang , Liu Cai , Zheng Zhisheng , Cui Yang 
Published: December 2022

ABSTRACTInterpolation techniques provide an effective method for recovery of missing traces. In recent years, many researchers have applied deep learning methods to seismic data interpolation. Generally, one can choose synthetic data as a training set; however, the features of synthetic data are always inconsistent with those of field data, which may lead to inaccurate interpolation. Meanwhile, U‐Net is a common network structure used in seismic data interpolation; however, the four downsampling and upsampling structures of U‐Net have limited adaptability for different data. In this study, the deep learning method based on U‐Net++ was proposed for seismic data interpolation, which contains U‐Net with different depths. The different depths were connected by skip pathways, and the best depth of the network was chosen for different seismic data by deep supervision. Furthermore, a new strategy for training sets was designed: frequency‐wavenumber (f‐k) bandpass filters were used to convert natural images into a natural seismic training set, which has a stronger generalization capability than synthetic data as the training set. The characteristics of the new training set can effectively improve the accuracy of missing data reconstruction. Compared with the conventional U‐Net and traditional interpolation techniques, for example, the Fourier Bregman method, the proposed method produces more accurate and reasonable interpolation results. Further, it can reconstruct both irregular and regular missing seismic data, even in the presence of strong random noise and aliasing. Synthetic and field data tests showed the effectiveness, robustness and generalization of the proposed method.
Clinical features and risk factors of catheter removal among 1062 episodes of peritoneal dialysis‐associated peritonitis: A multicenter 7‐year study
Authors: Liu Shichen , Yang Liming , Zhu Xueyan , Zhang Xiaoxuan , Meng Lingfei , Li Xinyang , Zhao Jing , Zhuang Xiaohua , Cui Wenpeng 
Published: December 2022

AbstractIntroductionStudies focusing on catheter removal and the pathogenic spectrum of peritoneal dialysis‐associated peritonitis (PDAP) need to be updated.MethodsData were collected from four peritoneal dialysis (PD) centers. Peritonitis rates were compared using Poisson regression and Logistic regression was used to examine the risk factors for catheter removal.ResultsThe PD duration (odds ratio [OR], 1.021; 95% confidence interval [CI], 1.010–1.032), number of previous PDAP episodes (OR, 1.267; 95% CI, 1.039–1.545), dialysate white cell count >100 × 106/L on Day 5 of PDAP (OR, 6.088; 95% CI, 3.277–11.312), Pseudomonas aeruginosa (OR, 4.122; 95% CI, 1.071–15.874) and polymicrobial infections (OR, 3.257; 95% CI, 1.519–6.982) were independent predictors of catheter removal (p < 0.05). The prevalence of polymicrobial peritonitis and fungal peritonitis has increased (p < 0.05).ConclusionAttention should be paid to patients with long PD duration or a history of previous episodes of PDAP characteristics.
Utility of head computed tomography for older adults with suspected delirium in the emergency department: A retrospective observational study
Authors: Butcher Josh D. , Smith Mckinley C. , Roberts Lauren , Ellis Brittany 
Published: December 2022

AbstractBackgroundDelirium in older people is associated with significant morbidity and mortality and has life‐threatening etiologies making prompt recognition essential. Computed tomography of the head (CT‐head) may have a role in determining the cause of delirium; however, inpatient studies suggest it is overused. There is a paucity of emergency department (ED)‐based research surrounding the use of CT‐head in delirium. This study aims to describe the utility of CT‐head in older patients presenting to the ED with symptoms of delirium.MethodsWe conducted a retrospective chart review of patients 65 years and older with symptoms of delirium who visited local EDs over a 3.5‐year period (2016–2020). We compared patients who did and did not receive CT‐head. Our primary objective was to determine the proportion of acute findings in patients who received CT‐head. Our secondary objectives were to describe the proportions of patients who did and did not receive CT‐head in terms of their demographics, presenting symptoms, disposition, and indications for and results of CT‐head scans. Chi‐square tests were utilized for comparisons.ResultsA total of 630 encounters were identified through database searching; 526 met inclusion criteria. Thirty‐four were excluded for presenting directly to consultants, leaving 492 included encounters. Of those who received a CT‐head (n = 279), 13 (4.7%) had acute findings. Of the encounters with acute findings, four (30.77%) had focal neurological deficits (FND), and two (15.38%) had Glasgow Coma Scale (GCS) score < 14. Patients without CT‐head (n = 213) were more likely to be discharged (p < 0.01) and less likely to have a FND (p < 0.01).ConclusionsCT‐head is ordered for over half of older ED patients with symptoms of delirium despite infrequent acute findings. Acute findings typically occur in the context of symptoms suggestive of intracranial abnormalities such as FND or GCS < 14. This suggests physicians should be more selective when ordering CT‐heads in patients with symptoms of delirium.
Dental enamel defects and dental caries of primary teeth among Indigenous children in Western Australia
Authors: Arrow P , Piggott S , Jamieson L , Brennan D , Tonmukayakul U , Kularatna S , Atkinson D , Nanda S 
Published: December 2022

AbstractBackgroundTeeth affected with enamel defects (EDs) are at an increased risk of dental caries. In spite of improving oral health status overall in Australia, Indigenous Australians still experience higher rates of dental caries than non‐Indigenous Australians. This study reports on the prevalence of EDs and dental caries experience among Indigenous children in the Kimberley region of Western Australia.MethodsHealth status of all the primary teeth (ICDAS II criteria) and the presence of EDs on index teeth (modified Dental Defects of Enamel index; DDE) of young Indigenous children who participated in a 2‐arm intervention trial was recorded. Generalized estimating equations were used to estimate the association between EDs and dental caries and effect estimates were presented as odds ratios and associated 95% confidence intervals.ResultsPerson‐level prevalence, from 237 children (mean age 3.6 years, standard deviation 1.7) assessed for EDs, was 58% and tooth‐level prevalence was 24%. Teeth affected with demarcated or diffuse defects were associated with a twofold higher odds of having caries experience, odds ratio (OR) 2.5, 95% confidence interval (CI) 1.7–3.7 and OR 2.7, 95% CI 1.7–4.0 respectively.ConclusionsThe presence of EDs among young Indigenous children was associated with a higher odds of caries experience among affected teeth.
Oral health research funding in relation to disease burden in Australia
Authors: Ghanbarzadegan A , Ivanovski S , Sloan AJ , Spallek H 
Published: December 2022

AbstractBackgroundThis study aims to investigate and compare the major Australian government research funding schemes for oral health science with other disciplines from the burden of disease perspective.MethodsMajor government research funding scheme outcomes were identified. An innovative index of Fair Research Funding (FRF) was developed to examine the extent to which National Health and Medical Research Council funding is aligned with the disease burden. In addition to comparing different diseases, overall governmental research funding for different areas of oral health sciences was explored.ResultsOral disorders with $15 million NHMRC grant funds (2017–2021) and FRF of 10.7 has the lowest and most inequitable amount of Australian government support in relation to disease burden. The share of oral health science in the Australian Research Council and Medical Research Future Fund was very minimal, with $3.43 and $1.88 million respectively.ConclusionGovernmental research funding for oral health sciences is inequitable according to the disease burden. More dedicated oral health sciences research funding schemes are essential. Funding for prevention‐focused public oral health programmes is a vital requirement towards reducing the inequalities in population oral health.