bluuebunny/crossref_metadata_2025_split huggingface dataset:
Suitability of Natura 2000 sites for threatened freshwater species under projected climate change
Authors: Basen Timo , Chucholl Christoph , Oexle Sarah , Ros Albert , Brinker Alexander 
Published: November 2022

Abstract

As part of the world's largest coordinated network of protected areas, Natura 2000, European Union member states designate special areas of conservation (SACs) to maintain or achieve favourable conservation status for imperilled aquatic species listed under Annex II of the Habitats Directive. Long‐term suitability of SAC habitats is potentially challenged by continuing climate change.
To examine this emerging threat to aquatic species conservation, the habitat suitability of designated SACs (n = 8,221) for 24 Central European freshwater species (18 teleosts, two lampreys, two crayfish and two bivalves) was assessed under current and projected end‐of‐century climate using environmental niche models calibrated on species occurrences reported under the Habitats Directive (n = 33,995). Potential future conditions included three climate‐change scenarios representing a gradient from effective climate protection measures to a worst‐case warming scenario.
Habitat suitability of SACs was consistently calculated as high under present climate but projected to decline severely for two‐thirds of the species under future climate conditions, with the magnitude of decline generally paralleling that of projected climate change. Under high emission scenarios, one third to more than half of the species were predicted to face unsuitable conditions in ≥75% of SACs. Predicted change in habitat suitability varied across biogeographical regions, with Alpine SACs often undergoing lower or no decline in predicted suitability.
Given the discrepancy between the location of currently designated SACs and predicted areas of suitable habitat under projected end‐of‐century climate, climate change can be expected to undermine the long‐term effectiveness of currently protected areas. Fostering climate resilience of freshwater habitats within SACs, restoring stream connectivity among SACs, assisted migration to newly suitable SACs where natural dispersal is not possible, as well as designation of new protected areas within climate refugia represent key actions to overcome this potential future conservation gap.
Nanostructured Assembly of Magnetic and Plasmonic Nanoparticles Transferred from AOT Winsor Phases to Oil‐in‐Water Functional Dispersions
Authors: Fortes Martín Rebeca , Prietzel Claudia , Koetz Joachim 
Published: November 2022

AbstractNanoparticle interactions can mediate assemblies and self‐organization into colloidal superstructures, if then control of the size and stabilization is highly required towards the fabrication of functional nanomaterials. In the proposed approach, different types of water‐dispersible and oil‐dispersible nanoparticles were incorporated in water‐in oil (w/o) microemulsions stabilized by Aerosol‐OT (AOT) as surfactant. Phase separation at higher surfactant and water contents resulted in the formation of a heterocoagulate, which can be separated with an external magnet. This magnetic heterocoagulate, which can contain 3 different types of nanoparticles, can be dispersed in longer‐chain carboxylic acids. An additional phase‐transfer into oil‐in water (o/w) dispersions was mediated by an auxiliary surfactant in water‐ethanol. The resulting nanostructures from heterocoagulates formed at higher temperatures consisted on inner domains of water‐dispersible nanoparticles embedded in a matrix‐shell of oleyl‐capped nanoparticles. Thus, a new encapsulation strategy is achieved under relative mild conditions, combining three types of nanoparticles and providing compartmentalization and magnetic‐responsiveness.
Epstein–Barr virus detection in endoscopic submucosal dissection‐proven early gastric cancer with mixed‐type histology
Authors: Yanai Hideo , Chihara Daisuke , Harano Megumi , Sakaguchi Eiki , Kaino Seiji , Murakami Tomoyuki , Nishikawa Jun 
Published: November 2022

AbstractBackgroundsEarly gastric cancer (EGC) with mixed‐type histology is a significant risk factor for additional surgery after endoscopic submucosal dissection (ESD). On the other hand, Epstein–Barr virus‐associated gastric cancer (EBVaGC) with mixed‐type histology is a favorable risk factor with regard to lymph node metastasis.MethodsWe performed EBV detection in 13 ESD‐proven lesions in 13 cases of early gastric cancer with mixed‐type histology using EBV‐encoded small RNA1 in situ hybridization (EBER1 ISH).ResultsEBVaGC was diagnosed in only one (7.7%) of the tested lesions. That EBVaGC patient underwent surgery and there was no residual lesion and no lymph metastasis. EBVaGC is not frequent in EGC with mixed‐type histology.ConclusionsEBV testing of gastric biopsy specimens seems not to be useful to predict the mixed‐type histology results of ESD. However, EBV testing for ESD specimens of EGC with mixed‐type histology is expected to be useful for avoiding excessive additional surgery.
Automated heuristic based context dependent ETL process to generate multi‐dimensional model for tabular data
Authors: Hira Swati , Deshpande Parag S. 
Published: November 2022

SummaryOver the past decade, enterprises have broadly adopted data warehousing in various activities. Today, abundant information is available on websites in the form of tables or spreadsheets. This huge amount of data cannot be processed directly because of its complexity, heterogeneity, and gap between user requirements. In this work, an automatic approach is proposed to build the multi‐dimensional structure (MDS) of heterogeneous tabular data format for intelligent decision‐making. The proposed MDS is generated by identifying components such as dimensions and hierarchies. It automatically extracts measures based on the spatial characteristics of data dimensions like region, time as well as their hierarchies. This proposed approach automatically generates a multi‐dimensional model for BI tools without complicated ETL (Extraction, Transformation and Loading) process and helps to solve several business queries, like “Top 5 states in India based on Irrigated area in 2009”. Moreover, the proposed method reduces the time and cost of building multi‐dimensional models to a very large extent. The correctness of proposed method is tested with the synthetic and economic datasets of Government websites where information is stored in tabular formats and various heterogeneous setups where the proposed method saved approximately 4000 to 5000 computing hours of the ETL process.
Two QTLs govern the resistance to Sclerotinia minor in an interspecific peanut RIL population
Authors: Rosso Melina H. , de Blas Francisco J. , Massa Alicia N. , Oddino Claudio , Giordano Damian F. , Seijo Jose G. , Arias Renee S. , Soave Juan H. , Soave Sara J. , Buteler Mario I. , Bressano Marina 
Published: November 2022

AbstractSclerotinia blight is a soilborne disease caused by Sclerotinia minor Jagger and can produce severe decrease in yield. Cultural management strategies and chemical treatment are not completely effective; therefore, growing peanut‐resistant varieties is likely to be the most effective control method for this disease. Sclerotinia blight resistance has been identified in wild Arachis species and further transferred to peanut elite cultivars. To identify the genome regions conferring Sclerotinia blight resistance within a tetraploid genetic background, this study evaluated a population of recombinant inbred lines (RIL) with introgressed genes from three wild diploid species: A. cardenasii, A. correntina, and A. batizocoi. Two consistent quantitative trait loci (QTLs), qSbIA04 and qSbIB04 located on chromosomes A04 and B04, respectively, were identified. The QTL qSbIA04 was mapped at 56.39 cM explaining 29% of the phenotypic variance and qSbIB04 was mapped at 13.38 cM explaining 22% of the overall phenotypic variance.
A novel method for making cell blocks with higher cellular yield
Authors: Liu Hongying , Huang Zhendong , Li Weiping , Cao Zhuo , Luo Biyi , Peng Yan , Liu Ying , Zheng Guangjuan , He Qinglian 
Published: November 2022

AbstractIntroductionCytopathology is an important part of pathology that is used to diagnose disease on the cellular level. The application of the cell block (CB) technique plays a vital role in cytological diagnosis, as blocks and slides can be further used for special stains, immunohistochemistry (IHC), and molecular pathological analysis. Several methods for making CBs have been reported, but their procedures and cellular yield are still deemed unsatisfactory. In this article, we used gellan gum (GG) as an adjuvant for CBs, which resulted in higher cellular yield with simpler procedures.MethodsCBs were prepared by using GG, copper sulfate, plasma/thrombin, or pregelatinized starch methods. The procedures of each of these four methods were then compared. CB sections were stained with hematoxylin and eosin (H&E), and the background and morphological features seen by H&E staining were compared. A preliminary IHC and fluorescence in situ hybridization (FISH) study was performed using cytology specimens from eleven and five cases, respectively. The expression of immunocomplex by IHC and the molecular signals detected by FISH were compared in CB sections made by the four methods and a section derived from the biopsy specimen block from the same patient. Feulgen staining, Alcian blue staining, and Masson trichrome staining were performed on the CB sections from 3 cases of pleural fluid. The cellular yield of CB sections from 83 cases according to the four methods was compared using NDP analysis software.ResultsThe results demonstrated that sections derived from CBs made with GG had a clear background and good morphological features by H&E staining. The expression of immunocomplex by IHC and the molecular signals of FISH detection in the sections from CBs made by GG were accurately located just as those in biopsy sections from the same patient. The DNA, acidic mucus, and fibrin could be clearly identified through special stains in the CB sections. The procedures involved in the GG method were easily controllable and the coagulated gel increased the ease by which the CB was embedded and sectioned. Specifically, sections from CBs made by the GG method contained higher cellular yield because cells could be concentrated on the bottom of the gel after centrifugation.ConclusionThis novel method for making CBs is a practical, simple method that can result in higher cellular yield. This method is therefore worth promoting in clinical applications.
Connectivity between default mode and frontoparietal networks mediates the association between global amyloid‐β and episodic memory
Authors: Zhukovsky Peter , Coughlan Gillian , Buckley Rachel , Grady Cheryl , Voineskos Aristotle N. 
Published: November 2022

AbstractΒeta‐amyloid (Aβ) is a neurotoxic protein that deposits early in the pathogenesis of preclinical Alzheimer's disease. We aimed to identify network connectivity that may alter the negative effect of Aβ on cognition. Following assessment of memory performance, resting‐state fMRI, and mean cortical PET‐Aβ, a total of 364 older adults (286 with clinical dementia rating [CDR‐0], 59 with CDR‐0.5 and 19 with CDR‐1, mean age: 74.0 ± 6.4 years) from the OASIS‐3 sample were included in the analysis. Across all participants, a partial least squares regression showed that lower connectivity between posterior medial default mode and frontoparietal networks, higher within‐default mode, and higher visual–motor connectivity predict better episodic memory. These connectivities partially mediate the effect of Aβ on episodic memory. These results suggest that connectivity strength between the precuneus cortex and the superior frontal gyri may alter the negative effect of Aβ on episodic memory. In contrast, education was associated with different functional connectivity patterns. In conclusion, functional characteristics of specific brain networks may help identify amyloid‐positive individuals with a higher likelihood of memory decline, with implications for AD clinical trials.
Effects of solriamfetol on on‐the‐road driving in participants with narcolepsy: A randomised crossover trial
Authors: Vinckenbosch Frederick , Lammers Gert Jan , Overeem Sebastiaan , Chen Dan , Wang Grace , Carter Lawrence P. , Zhou Kefei , Ramaekers Johannes G. , Vermeeren Annemiek 
Published: November 2022

AbstractObjectiveTo evaluate the impact of solriamfetol, a dopamine and norepinephrine reuptake inhibitor, on on‐the‐road driving performance in participants with narcolepsy.MethodsIn this randomised, double‐blind, placebo‐controlled, crossover study, driving performance during a 1 h on‐road driving test was assessed at 2 and 6 h post‐dose following 7 days of treatment with solriamfetol (150 mg/day for 3 days, followed by 300 mg/day for 4 days) or placebo. The primary endpoint was standard deviation of lateral position (SDLP) at 2 h post‐dose.ResultsThe study included 24 participants (54% male; mean age, 40 years); 22 had evaluable SDLP data. At 2 h post‐dose, median SDLP was significantly lower (improved) with solriamfetol compared with placebo (19.08 vs. 20.46 cm [median difference, −1.9 cm], p = 0.002). Four participants on solriamfetol and 7 on placebo had incomplete driving tests. At 6 h post‐dose, median SDLP was not statistically significantly different with solriamfetol compared with placebo (19.59 vs. 19.78 cm [median difference, −1.1 cm], p = 0.125). Three participants on solriamfetol and 10 on placebo had incomplete driving tests. Common adverse events (≥5%) included headache, decreased appetite, and somnolence.ConclusionsSolriamfetol 300 mg/day improved on‐the‐road driving performance, at 2 h post‐administration in participants with narcolepsy.
Efficacy and cost of double filtration plasmapheresis in severe hypertriglyceridemia‐induced pancreatitis: A retrospective observational study
Authors: Xu Xin , Gao Chenyang , Han Pan 
Published: November 2022

AbstractBackgroundThe value of double filtration plasmapheresis (DFPP) in severe hypertriglyceridemia‐induced pancreatitis (sHTGP) is controversial. This study aimed to investigate the efficacy of DFPP on clinical outcomes in patients with sHTGP and the costs associated with the procedure.MethodsPatients who underwent DFPP after admission between January 2016 and December 2021 were recruited. Data on lipid profile, clinical parameters, and costs were retrospectively collected and analyzed.ResultsFifty sHTGP patients who received DFPP were enrolled. All of the lipid profile were significantly reduced and maintained a downward trend. The APACHE II score on admission was higher and the reduction after DFPP was more obvious (P < 0.05) in patients with higher triglyceride (TG) levels (≥33.9 mmol/L) than in patients with lower TG levels. More material fees were expended in the higher TG group due to more DFPP sessions (P < 0.05), but no significant differences existed in total hospital costs between the two groups.ConclusionDFPP could rapidly and effectively reduce TGs to a safe level. APACHE II score reduction was obvious in patients with TGs ≥33.9 mmol/L and was associated with lipid profile changes. DFPP may benefit sHTGP patients with a TG level higher than the current initiation threshold.
Therapists' self‐assessment of time spent on learning activities and its relationship to treatment outcomes: A replication study
Authors: Janse Pauline D. , Bakker‐Brehm Diana T. , Geurtzen Naline , Scholing Agnes , Hutschemaekers Giel J. 
Published: November 2022

AbstractObjectivesThis study investigated whether therapists' self‐assessed time spent on learning activities was associated with treatment outcomes. The study was a replication of Chow et al.'s (2015) study, which showed that the most effective therapists spent more total time on solitary learning activities than less effective therapists. The present study sought to replicate this finding, and it explored the association between 25 specific activities of therapists and clients' treatment outcomes. Also, this study explored which learning activities therapists found most relevant for improving their performance.MethodsIn this naturalistic longitudinal study, data from 2424 outpatients who were being treated by 40 different therapists were analyzed using multilevel analyses. Posttreatment scores on the OQ‐45 (controlled for pretreatment client variables) were used to measure treatment outcome. The RAPID Practice‐D was used to measure therapists' learning and other activities spent with the aim of improving their therapeutic skills.ResultsThe results showed that the total amount of time that therapists indicated they spent on learning activities did not predict clients' treatment outcomes. Also, no specific learning activities were related to clients' outcomes. Nevertheless, therapists indicated that they perceived several specific activities to be highly relevant for improving their skills.ConclusionThe results showed that therapists' perceptions of how much time they spent on learning activities was not related to their performance. This might suggest that therapists' perceptions of their activities is inaccurate or that they attach value to the wrong activities. It also indicates the importance of not relying solely on the self‐assessments of therapists to evaluate a therapist's training and its relationship with outcome.
DATAMAN: A global database of methane, nitrous oxide, and ammonia emission factors for livestock housing and outdoor storage of manure
Authors: Hassouna Mélynda , van der Weerden Tony J. , Beltran Ignacio , Amon Barbara , Alfaro Marta A. , Anestis Vasileios , Cinar Gültac , Dragoni Federico , Hutchings Nicholas J. , Leytem April , Maeda Koki , Maragou Aristea , Misselbrook Tom , Noble Alasdair , Rychła Anna , Salazar Francisco , Simon Priscila 
Published: November 2022

AbstractLivestock manure management systems can be significant sources of nitrous oxide (N2O), methane (CH4), and ammonia (NH3) emissions. Many studies have been conducted to improve our understanding of the emission processes and to identify influential variables in order to develop mitigation techniques adapted to each manure management step (animal housing, outdoor storage, and manure spreading to land). The international project DATAMAN (http://www.dataman.co.nz) aims to develop a global database on greenhouse gases (N2O, CH4) and NH3 emissions from the manure management chain to refine emission factors (EFs) for national greenhouse gas and NH3 inventories. This paper describes the housing and outdoor storage components of this database. Relevant information for different animal categories, manure types, livestock buildings, outdoor storage, and climatic conditions was collated from published peer reviewed research, conference papers, and existing databases published between 1995 and 2021. In the housing database, 2024 EFs were collated (63% for NH3, 19.5% for CH4, and 17.5% for N2O). The storage database contains 654 NH3 EFs from 16 countries, 243 CH4 EFs from 13 countries, and 421 N2O EFs from 17 countries. Across all gases, dairy cattle and swine production in temperate climate zones are the most represented animal and climate categories. As for the housing database, the number of EFs for the tropical climate zone is under‐represented. The DATAMAN database can be used for the refinement of national inventories and better assessment of the cost‐effectiveness of a range of mitigation strategies.
Comparative and integrated analysis of plasma extracellular vesicle isolation methods in healthy volunteers and patients following myocardial infarction
Authors: Paget Daan , Checa Antonio , Zöhrer Benedikt , Heilig Raphael , Shanmuganathan Mayooran , Dhaliwal Raman , Johnson Errin , Jørgensen Maléne Møller , Bæk Rikke ,   Oxford Acute Myocardial Infarction Study (OxAMI), Wheelock Craig E. , Channon Keith M. , Fischer Roman , Anthony Daniel C. , Choudhury Robin P. , Akbar Naveed 
Published: November 2022

AbstractPlasma extracellular vesicle (EV) number and composition are altered following myocardial infarction (MI), but to properly understand the significance of these changes it is essential to appreciate how the different isolation methods affect EV characteristics, proteome and sphingolipidome. Here, we compared plasma EV isolated from platelet‐poor plasma from four healthy donors and six MI patients at presentation and 1‐month post‐MI using ultracentrifugation (UC), polyethylene glycol precipitation, acoustic trapping, size‐exclusion chromatography (SEC) and immunoaffinity capture. The isolated EV were evaluated by Nanoparticle Tracking Analysis (NTA), Western blot, transmission electron microscopy (TEM), an EV‐protein array, untargeted proteomics (LC‐MS/MS) and targeted sphingolipidomics (LC‐MS/MS). The application of the five different plasma EV isolation methods in patients presenting with MI showed that the choice of plasma EV isolation method influenced the ability to distinguish elevations in plasma EV concentration following MI, enrichment of EV‐cargo (EV‐proteins and sphingolipidomics) and associations with the size of the infarct determined by cardiac magnetic resonance imaging 6 months post‐MI. Despite the selection bias imposed by each method, a core of EV‐associated proteins and lipids was detectable using all approaches. However, this study highlights how each isolation method comes with its own idiosyncrasies and makes the comparison of data acquired by different techniques in clinical studies problematic.
Impacts of atmospheric CO2 increase and Amazon deforestation on the regional climate: A water budget modelling study
Authors: Ruv Lemes Murilo , Sampaio Gilvan , Fisch Gilberto , Alves Lincoln Muniz , Maksic Jelena , Guatura Marcelo , Shimizu Marília 
Published: November 2022

AbstractGlobal air temperature increase has caused changes in the global climate such as droughts, floods and severe events. Land cover shifts and the increase in greenhouse gas emissions can intensify these impacts. Therefore, the application of Specific Warming Level 2 (SWL2) technique has been considered to evaluate the global warming issue in various climate scales, which may induce different responses in the climate system. The objective of this study is to evaluate the impacts of a doubling of current atmospheric CO2 concentrations as well as the influence of deforestation of the Amazon Forest on the climate of South America. In this study, the CPTEC‐BAM1.2 global model was used to simulate these processes. The first scenario of simulations considered doubled atmospheric CO2 concentration (2XCO2 = 776 ppm) and the second scenario is the total conversion of the Amazon Forest to pasture (DEF). In the third scenario both CO2 and deforestation are considered simultaneously (2XCO2 + DEF). A control simulation considers the natural Amazon Forest shape and a steady CO2 concentration of 388 ppm. Results suggest that the temperature increased in all scenarios, the highest increment in the 2XCO2 + DEF experiment (5.4°C in 2XCO2 + DEF, 5.1°C in DEF and 3.2°C in 2XCO2). The model simulated drastic negative rainfall anomalies in each of three scenarios (2XCO2 + DEF: −2.1 mm day−1, 2XCO2: −1.3 mm day−1 and DEF: −0.9 mm day−1). Besides less precipitation and evapotranspiration, shifts in moisture transport were identified in each of the three scenarios. The effect of doubled atmospheric CO2 produces results similar to deforestation for hydrological water budget changes, and total pasture conversion may intensify such changes.