bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Analysis of Geo-spatial Data to Evaluate Urban Greenspace: A Case Study in Dortmund, Germany
Authors: Juergens Carsten , Meyer-Heß M. Fabian 
Published: May 2022

AbstractUrban greenspace is of high importance for the general public from different points of view. Among others, it is beneficial for recreational activities as well as for cooling effects during summer in urban climate. Many studies investigate urban greenspace from perspectives related to environmental justice or health geography that are usually based on environmental and sociodemographic data of diverse scales or spatial levels of detail and often suffer from high degrees of generalization. To demonstrate the benefit of a higher degree of spatial detail, a representative part of the city of Dortmund (Germany) is selected as study area. A time series of freely available Sentinel-2 images and a freely available digital object height model (DOHM) are used to analyze and describe the spatio-temporal distribution of urban vegetation and its potential effects on the population. Doing so, the Sentinel-2 images are used for the calculation of vegetation indices to identify the active green period of different vegetation land covers. In addition to that, the three-dimensional appearance of vegetation is correlated with the green period to assume the relevance of green land covers for the general public. The results show that an appropriate selection of cloud-free satellite images is of importance for a greenspace analysis. The combination of high resolution 2D and 3D data sets, namely NDVI and plant height information, reveals the spatial distribution of well-equipped greenspace areas with high recreational and health potential as well as poorly-equipped areas in urban neighborhoods, that could be improved.
Factors Affecting Sugar-Containing-Product Prices
Authors: DeLong Karen L. , Trejo-Pech Carlos O. 
Published: May 2022

AbstractUnited States (US) sugar policy buffers domestic sugar producers against subsidized and dumped world market sugar resulting in generally higher US sugar prices compared to world prices. A fixed-effects panel regression is used to estimate factors associated with US sugar-containing-product (SCP) retail prices. SCPs are defined by sucrose being a primary ingredient. Explanatory variables in the regression were US sugar prices, SCP characteristics, firm size, firm past financial performance, and macroeconomic variables. Macroeconomic variables, firm past financial performance, and SCP weight were statistically significant in explaining SCP prices. Increases in US sugar prices were not associated with higher SCP prices.
Spanish Validation of the Assessment of Recovery Capital Scale in Clinical Population with Alcohol Use Disorder
Authors: Sión Ana , Jurado-Barba Rosa , Esteban-Rodríguez Laura , Arias Francisco , Rubio Gabriel ,   InRecovery Group
Published: May 2022

AbstractRecovery from alcohol use disorder involves achieving certain resources for positive lifestyle changes, well-being, and long-term abstinence. The present study aims to translate and validate the Assessment Capital Recovery (ARC) in a Spanish clinical sample of individuals with alcohol use disorder, in abstinence. The participants were 184 patients who attended outpatient treatments. They were evaluated with the adapted version of the ARC (Spanish abbreviation: “Valoración del Capital de Recuperación, VCR”) and by WHOQOL-BREF (quality of life scale), in one session. Statistical analysis included the calculation of reliability, convergent validity (relationship with WHOQOL-BREF), specificity and sensitivity, as well as validity based on internal structure (confirmatory factor analysis). VCR scores show appropriate values for reliability (α = .90), and a low convergent validity with WHOQOL-BREF (Rho= .33–.53). The VCR appears to distinguish between patients with early and stable sobriety (χ2= 20.55,p< .01). The ROC curve indicates significant discrimination values (p< .05) for stable recovery (5 years of abstinence) and sensitivity of 85.2% and specificity of 71.2%. Further, confirmatory factor analysis suggests the presence of a single factor, with relatively acceptable values of goodness of fit and factor loadings. We used ULS parameter estimation to study VCR properties, an appropriate tool for assessing recovery in clinical populations of individuals with alcohol use disorder in abstinence.
High-throughput single-сell sequencing in cancer research
Authors: Jia Qingzhu , Chu Han , Jin Zheng , Long Haixia , Zhu Bo 
Published: May 2022

AbstractWith advances in sequencing and instrument technology, bioinformatics analysis is being applied to batches of massive cells at single-cell resolution. High-throughput single-cell sequencing can be utilized for multi-omics characterization of tumor cells, stromal cells or infiltrated immune cells to evaluate tumor progression, responses to environmental perturbations, heterogeneous composition of the tumor microenvironment, and complex intercellular interactions between these factors. Particularly, single-cell sequencing of T cell receptors, alone or in combination with single-cell RNA sequencing, is useful in the fields of tumor immunology and immunotherapy. Clinical insights obtained from single-cell analysis are critically important for exploring the biomarkers of disease progression or antitumor treatment, as well as for guiding precise clinical decision-making for patients with malignant tumors. In this review, we summarize the clinical applications of single-cell sequencing in the fields of tumor cell evolution, tumor immunology, and tumor immunotherapy. Additionally, we analyze the tumor cell response to antitumor treatment, heterogeneity of the tumor microenvironment, and response or resistance to immune checkpoint immunotherapy. The limitations of single-cell analysis in cancer research are also discussed.
Rapid access to polycyclic N-heteroarenes from unactivated, simple azines via a base-promoted Minisci-type annulation
Authors: Lee Jae Bin , Kim Gun Ha , Jeon Ji Hwan , Jeong Seo Yeong , Lee Soochan , Park Jaehyun , Lee Doyoung , Kwon Youngkook , Seo Jeong Kon , Chun Joong-Hyun , Kang Seok Ju , Choe Wonyoung , Rohde Jan-Uwe , Hong Sung You 
Published: May 2022

AbstractConventional synthetic methods to yield polycyclic heteroarenes have largely relied on metal-mediated arylation reactions requiring pre-functionalised substrates. However, the functionalisation of unactivated azines has been restricted because of their intrinsic low reactivity. Herein, we report a transition-metal-free, radical relay π-extension approach to produce N-doped polycyclic aromatic compounds directly from simple azines and cyclic iodonium salts. Mechanistic and electron paramagnetic resonance studies provide evidence for the in situ generation of organic electron donors, while chemical trapping and electrochemical experiments implicate an iodanyl radical intermediate serving as a formal biaryl radical equivalent. This intermediate, formed by one-electron reduction of the cyclic iodonium salt, acts as the key intermediate driving the Minisci-type arylation reaction. The synthetic utility of this radical-based annulative π-extension method is highlighted by the preparation of an N-doped heptacyclic nanographene fragment through fourfold C–H arylation.
Simultaneous stabilization of actin cytoskeleton in multiple nephron-specific cells protects the kidney from diverse injury
Authors: Mukherjee Kamalika , Gu Changkyu , Collins Agnieszka , Mettlen Marcel , Samelko Beata , Altintas Mehmet M. , Sudhini Yashwanth R. , Wang Xuexiang , Bouley Richard , Brown Dennis , Pedro Bradley P. , Bane Susan L. , Gupta Vineet , Brinkkoetter Paul T. , Hagmann Henning , Reiser Jochen , Sever Sanja 
Published: May 2022

AbstractChronic kidney diseases and acute kidney injury are mechanistically distinct kidney diseases. While chronic kidney diseases are associated with podocyte injury, acute kidney injury affects renal tubular epithelial cells. Despite these differences, a cardinal feature of both acute and chronic kidney diseases is dysregulated actin cytoskeleton. We have shown that pharmacological activation of GTPase dynamin ameliorates podocyte injury in murine models of chronic kidney diseases by promoting actin polymerization. Here we establish dynamin’s role in modulating stiffness and polarity of renal tubular epithelial cells by crosslinking actin filaments into branched networks. Activation of dynamin’s crosslinking capability by a small molecule agonist stabilizes the actomyosin cortex of the apical membrane against injury, which in turn preserves renal function in various murine models of acute kidney injury. Notably, a dynamin agonist simultaneously attenuates podocyte and tubular injury in the genetic murine model of Alport syndrome. Our study provides evidence for the feasibility and highlights the benefits of novel holistic nephron-protective therapies.
Impact of ruthenium metallic particles on the dissolution of UO2 in nitric acid
Authors: Kaczmarek Thibault , Szenknect Stéphanie , Claparède Laurent , Cabié Martiane , Le Goff Xavier , Mesbah Adel , Podor Renaud , Dacheux Nicolas 
Published: May 2022

AbstractUO2 pellets incorporating 3 mol.% of Ru was prepared by using a wet chemistry route and then characterised. The speciation, morphology, as well as spatial distribution of Ru in the sintered samples, were determined. The synthesised samples were submitted to dissolution tests in 0.1 M nitric acid at 60 °C and the dissolution of pure UO2 pellets was also studied with and without the presence of Ru metallic particles in the solution. The evolution of the U, Ru, and nitrous acid concentrations in solution was measured and the residues of dissolution were further characterised. The obtained results unambiguously demonstrated the catalytic activity of Ru-metal particles during UO2 dissolution in nitric acid provided that a solid/solid interface existed between UO2 and Ru-metal particles. This positive impact on the dissolution kinetics of UO2 was supported by redox reactions taking place at both nitric acid solution/Ru-metal particles and at Ru-metal particles/UO2 interfaces.
USEEIO v2.0, The US Environmentally-Extended Input-Output Model v2.0
Authors: Ingwersen Wesley W. , Li Mo , Young Ben , Vendries Jorge , Birney Catherine 
Published: May 2022

AbstractUSEEIO v2.0 is an environmental-economic model of US goods and services that can be used for life cycle assessment, footprinting, national prioritization, and related applications. This paper describes the development of the model and accompanies the release of a full model dataset as well as various supporting datasets of national environmental totals by US industry. Novel methodological elements since USEEIO v1 models include waste sector disaggregation, final demand vectors for US consumption and production, a domestic form of the model that can be used to separate domestic and foreign impacts, and price adjustment matrices for converting outputs to purchaser price and in various US dollar years. Improvements in modeling national totals of industry and environmental flows are described. The model is validated through reproduction of national totals from input data sources and through analysis of changes from the most recent complete USEEIO model that can be explained based on data updates or method changes. The model datasets can all be reproduced with open source software packages.
High throughput screen for the improvement of inducible promoters for tumor microenvironment cues
Authors: Sharabi Omri , Greenshpan Yariv , Ofir Noa , Ottolenghi Aner , Levi Tamar , Olender Leonid , Adler-Agmon Zachor , Porgador Angel , Gazit Roi 
Published: May 2022

AbstractCancer immunotherapies are highly potent and are gaining wide clinical usage. However, severe side effects require focusing effector immune cell activities on the tumor microenvironment (TME). We recently developed a chimeric antigen receptor tumor-induced vector (CARTIV), a synthetic promoter activated by TME factors. To improve CARTIV functions including background, activation levels, and synergism, we screened a library of promoters with variations in key positions. Here, we present a screening method involving turning ON/OFF stimulating TNFα and IFNγ cytokines, followed by sequential cell sorting. Sequencing of enriched promoters identified seventeen candidates, which were cloned and whose activities were then validated, leading to the identification of two CARTIVs with lower background and higher induction. We further combined a third hypoxia element with the two-factor CARTIV, demonstrating additional modular improvement. Our study presents a method of fine-tuning synthetic promoters for desired immunotherapy needs.
Safety and efficacy of therapeutic taping in primary dysmenorrhea: a systematic review and meta-analysis
Authors: Bandara E. M. I. A. , Kularathne W. N. I. , Brain K. , Weerasekara Ishanka 
Published: May 2022

AbstractPrimary dysmenorrhea (PD) is a common gynecological condition among adolescent and adult women. Several pharmacological and alternative therapies (e.g. therapeutic taping) have been used to treat PD, with varying effect. This systematic review and meta-analysis was performed to evaluate the safety and efficacy of therapeutic taping on clinical symptoms of PD, considering pain as the primary outcome. MEDLINE, Cochrane Library, Embase, PEDro, CINAHL and gray literature sources were searched from inception to February 2022 for randomized controlled trials (RCTs) that assessed the effect of therapeutic taping for PD. The language was restricted to English. A total of ten studies were included in the systematic review, involving 685 participants. Eight studies were included in quantitative analysis. The quality of the studies ranged from 4 to 7 with a median of 5 as assessed by PEDro scale. Meta-analyses indicated short-term improvements of pain compared to sham and no interventions. Elastic therapeutic taping (ETT) indicated short term improvements in anxiety associated with PD. Moderate to high quality of evidence suggested that ETT is an effective intervention in improving pain, anxiety, and quality of life of women with PD. A scarcity of evidence on the long-term effects of therapeutic taping in PD is observed.
New therizinosaurid dinosaur from the marine Osoushinai Formation (Upper Cretaceous, Japan) provides insight for function and evolution of therizinosaur claws
Authors: Kobayashi Yoshitsugu , Takasaki Ryuji , Fiorillo Anthony R. , Chinzorig Tsogtbaatar , Hikida Yoshinori 
Published: May 2022

AbstractThe record of therizinosaurs is rich in Asian countries such as Mongolia and China. Fragmentary therizinosaur specimens have been reported from the Lower and Upper Cretaceous deposits in Japan. One of these specimens, from the lower Campanian Osoushinai Formation in Nakagawa Town of Hokkaido Prefecture, was previously identified as a maniraptoran theropod dinosaur, possibly therizinosaur, but its taxonomic status remained unresolved. This study re-examines the specimen and provides a more detailed description and attempts to resolve its taxonomic status. Our study demonstrates that it is a new taxon, Paralitherizinosaurus japonicus gen. et sp. nov., because it shows a unique combination of characters in the metacarpal I and unguals. Our phylogenetic analysis places this new taxon within an unresolved clade of Therizinosauridae in the strict consensus tree. The 50% majority-rule consensus tree shows better resolution within Therizinosauridae, showing an unresolved monophyletic clade of Paralitherizinosaurus, Therizinosaurus, Suzhousaurus, and the Bissekty form. Geometric morphometric analysis suggests that Paralitherizinosaurus unguals most closely resemble Therizinosaurus unguals in being slender and has weak flexor tubercles. This study also shows an evolutionary trend in ungual shape, which associates a decrease in mechanical advantage, development of flexor tubercle, and hypothesized output (product of mechanical advantage and development of flexor tubercle) in derived therizinosaurs, supporting the hook-and-pull function of claws to bring vegetation to its mouth. Paralitherizinosaurus is the youngest therizinosaur from Japan and the first recovered from the marine deposits in Asia. This suggests a long temporal existence of therizinosaurs at the eastern edge of the Asian continent and adaptation of therizinosaurs to coastal environments.
Mortality prediction of patients in intensive care units using machine learning algorithms based on electronic health records
Authors: Choi Min Hyuk , Kim Dokyun , Choi Eui Jun , Jung Yeo Jin , Choi Yong Jun , Cho Jae Hwa , Jeong Seok Hoon 
Published: May 2022

AbstractImproving predictive models for intensive care unit (ICU) inpatients requires a new strategy that periodically includes the latest clinical data and can be updated to reflect local characteristics. We extracted data from all adult patients admitted to the ICUs of two university hospitals with different characteristics from 2006 to 2020, and a total of 85,146 patients were included in this study. Machine learning algorithms were trained to predict in-hospital mortality. The predictive performance of conventional scoring models and machine learning algorithms was assessed by the area under the receiver operating characteristic curve (AUROC). The conventional scoring models had various predictive powers, with the SAPS III (AUROC 0.773 [0.766–0.779] for hospital S) and APACHE III (AUROC 0.803 [0.795–0.810] for hospital G) showing the highest AUROC among them. The best performing machine learning models achieved an AUROC of 0.977 (0.973–0.980) in hospital S and 0.955 (0.950–0.961) in hospital G. The use of ML models in conjunction with conventional scoring systems can provide more useful information for predicting the prognosis of critically ill patients. In this study, we suggest that the predictive model can be made more robust by training with the individual data of each hospital.
Hemodynamic profiling by critical care echocardiography could be more accurate than invasive techniques and help identify targets for treatment
Authors: Schmidt Stefan , Dieks Jana-Katharina , Quintel Michael , Moerer Onnen 
Published: May 2022

AbstractIn this prospective observational study, non-invasive critical care echocardiography (CCE) was used to obtain quantitative hemodynamic parameters in 107 intensive care unit (ICU) patients; the parameters were then visualized in a novel web graph approach to increase the understanding and impact of CCE abnormalities, as an alternative to thermodilution techniques. Visualizing the CCE hemodynamic data in six-dimensional web graph plots was feasible in almost all ICU patients. In 23.1% of patients, significant tricuspid regurgitation prevented correlation between thermodilution techniques and echocardiographic hemodynamics. Two parameters of longitudinal right ventricular function (TAPSE and S’) did not correlate in ICU patients. Clinical surrogate parameters of hemodynamic compromise did not correlate with measured hemodynamics. 26.2% of the patients with mean arterial pressures above 60 mmHg had cardiac indices (CI) below 2.5 L min−1·m−2. A CI below 2.2 L·min−1·m−2 was associated with a significant ICU survival disadvantage. CCE was feasible in addition or as an alternative to thermodilution techniques for the hemodynamic evaluation of ICU patients. Six-dimensional web graph plots visualized the hemodynamic states and were especially useful in conditions in which thermodilution methods were not reliable. Hemodynamic CCE identified patients with previously unknown low CI, which correlated with a higher ICU mortality.
Malayan kraits (Bungarus candidus) show affinity to anthropogenic structures in a human dominated landscape
Authors: Hodges Cameron Wesley , Marshall Benjamin Michael , Hill Jacques George , Strine Colin Thomas 
Published: May 2022

AbstractAnimal movement can impact human–wildlife conflict by influencing encounter and detection rates. We assess the movement and space use of the highly venomous and medically important Malayan krait (Bungarus candidus) on a suburban university campus. We radio-tracked 14 kraits for an average of 114 days (min: 19, max: 218), during which we located individuals an average of 106 times (min: 21, max: 229) each. Most individuals displayed some level of attraction to buildings (n = 10) and natural areas (n = 12); we identified a similar unambiguous pattern of attraction to buildings and natural areas at the population level (of our sample). Snakes remained in shelter sites for long durations (max: 94 days) and revisited sites on average every 15.45 days. Over 50% of locations were within human settlements and 37.1% were associated with buildings. We found generally seasonal patterns of activity, with higher activity in wet seasons, and lower activity in the hot season. These results show frequent proximity between Malayan kraits and humans at the university; thereby, suggesting a near constant potential for human-wildlife conflict. Despite the fact that no snakebites from this species occurred at the university during our study period, substantial education and awareness training should be considered to ensure continued coexistence on campus.
Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics
Authors: Salifu Daisy , Ibrahim Eric Ali , Tonnang Henri E. Z. 
Published: May 2022

AbstractAnalysis of landmark-based morphometric measurements taken on body parts of insects have been a useful taxonomic approach alongside DNA barcoding in insect identification. Statistical analysis of morphometrics have largely been dominated by traditional methods and approaches such as principal component analysis (PCA), canonical variate analysis (CVA) and discriminant analysis (DA). However, advancement in computing power creates a paradigm shift to apply modern tools such as machine learning. Herein, we assess the predictive performance of four machine learning classifiers; K-nearest neighbor (KNN), random forest (RF), support vector machine (the linear, polynomial and radial kernel SVMs) and artificial neural network (ANNs) on fruit fly morphometrics that were previously analysed using PCA and CVA. KNN and RF performed poorly with overall model accuracy lower than “no-information rate” (NIR) (p value > 0.1). The SVM models had a predictive accuracy of > 95%, significantly higher than NIR (p < 0.001), Kappa > 0.78 and area under curve (AUC) of the receiver operating characteristics was > 0.91; while ANN model had a predictive accuracy of 96%, significantly higher than NIR, Kappa of 0.83 and AUC was 0.98. Wing veins 2, 3, 8, 10, 14 and tibia length were of higher importance than other variables based on both SVM and ANN models. We conclude that SVM and ANN models could be used to discriminate fruit fly species based on wing vein and tibia length measurements or any other morphologically similar pest taxa. These algorithms could be used as candidates for developing an integrated and smart application software for insect discrimination and identification. Variable importance analysis results in this study would be useful for future studies for deciding what must be measured.