bluuebunny/crossref_metadata_2025_split huggingface dataset:
Few large or many small fires: Using spatial scaling of severe fire to quantify effects of fire‐size distribution shifts
Authors: Buonanduci Michele S. , Donato Daniel C. , Halofsky Joshua S. , Kennedy Maureen C. , Harvey Brian J. 
Published: June 2024

AbstractAs wildfire activity increases and fire‐size distributions potentially shift in many forested regions worldwide, anticipating the spatial patterns of burn severity expected with future fire activity is critical for ecological understanding and informing management and policy. Because spatial patterns of burn severity are influenced by a complex mixture of drivers, they remain difficult to predict for any given burned landscape. At broader extents, however, spatial scaling relationships relating high‐severity patch size and shape to overall fire size, when combined with scenarios regarding regional area burned and fire‐size distributions, offer a means to anticipate the spatial configuration of burn severity in future fires. Here, leveraging a satellite burn‐severity dataset for 1615 fire events occurring across the northwest United States between 1985 and 2020, we present an approach for simulating expected patch‐level burn‐severity patterns at the scale of a region or fire regime of interest. We demonstrate this approach in a historically climate‐limited fire regime within the Pacific Northwest, USA, where relatively infrequent but large and severe fires shape biomass‐rich forests, and where fire potential is projected to increase as summer fire seasons become warmer and drier. We quantify how, for a given total burned area, the range of cumulative burn‐severity patterns is expected to vary with the size distributions of fire events. Our results illustrate how shifts in fire‐size distributions toward larger fire events will lead to increasingly large high‐severity burn patches with interior areas that are increasingly far from unburned seed sources following fire. In contrast, the same total area burned in more numerous but smaller fire events will result in qualitatively different cumulative patterns of burn severity, characterized by smaller high‐severity patches and closer proximity to postfire seed sources across burned landscapes. These results have important implications in forested regions, informing management actions ranging from prefire planning (e.g., fire response preparedness) to real‐time decision‐making (e.g., fire suppression vs. managed wildfire use) and postfire responses (e.g., replanting to restore tree cover and/or promoting early‐seral habitat). The approach we present is generalizable and can be applied across regions and fire regimes to anticipate potential future fire effects.
Monitoring storage characteristics of gray mold inoculated strawberries treated with limonene liposome and oxygen absorbers and prediction of sensory shelf‐life with UV‐VIS‐NIR reflectance
Authors: Joshi Prabesh , Choudhary Ruplal , Kohli Punit , Pahariya Prachi , Vargas‐Lizarazo Annie Y. 
Published: June 2024

AbstractIn this research, the effect of grey mold inoculation and subsequent postharvest treatment with limonene‐liposomes and oxygen absorbers is observed on the storage characteristics of strawberries. The survival analysis of the end of sensory shelf‐life indicated that inoculated strawberries were 9.96 times more likely to be rejected compared to uninoculated strawberries. The inoculation also resulted in lower firmness, higher rate of weight loss, higher CO2 respiration rates, and higher total polyphenol contents. Among the inoculated strawberries, limonene‐liposome treated strawberries had a longer average shelf‐life by 1.5 days compared to control inoculated strawberries. Similarly, oxygen absorber treated strawberries had lower respiration rates and lower rate of weight loss. The sequential addition of variables in the multiple linear models fitting days till rejection (DTR) show that up to 52% of the variation in DTR can be explained from days of storage, state of inoculation, firmness, respiration rate and total anthocyanin content. The models built from storage characteristics other than state of inoculation can explain up to 26% of variation in DTR. The partial least square regression (PLSR) models for the prediction of DTR built from two different types of spectral data, UV‐VIS and NIR, yielded evaluation R2 up to 0.778 and 0.765 respectively.
Right heart failure with left ventricular assist devices: Preoperative, perioperative and postoperative management strategies. A clinical consensus statement of the Heart Failure Association (HFA) of the ESC
Authors: Adamopoulos Stamatis , Bonios Michael , Ben Gal Tuvia , Gustafsson Finn , Abdelhamid Magdy , Adamo Marianna , Bayes‐Genis Antonio , Böhm Michael , Chioncel Ovidiu , Cohen‐Solal Alain , Damman Kevin , Di Nora Concetta , Hashmani Shahrukh , Hill Loreena , Jaarsma Tiny , Jankowska Ewa , Lopatin Yury , Masetti Marco , Mehra Mandeep R. , Milicic Davor , Moura Brenda , Mullens Wilfried , Nalbantgil Sanem , Panagiotou Chrysoula , Piepoli Massimo , Rakisheva Amina , Ristic Arsen , Rivinius Rasmus , Savarese Gianluigi , Thum Thomas , Tocchetti Carlo Gabriele , Tops Laurens F. , Van Laake Linda W. , Volterrani Maurizio , Seferovic Petar , Coats Andrew , Metra Marco , Rosano Giuseppe 
Published: June 2024

AbstractRight heart failure (RHF) following implantation of a left ventricular assist device (LVAD) is a common and potentially serious condition with a wide spectrum of clinical presentations with an unfavourable effect on patient outcomes. Clinical scores that predict the occurrence of right ventricular (RV) failure have included multiple clinical, biochemical, imaging and haemodynamic parameters. However, unless the right ventricle is overtly dysfunctional with end‐organ involvement, prediction of RHF post‐LVAD implantation is, in most cases, difficult and inaccurate. For these reasons optimization of RV function in every patient is a reasonable practice aiming at preparing the right ventricle for a new and challenging haemodynamic environment after LVAD implantation. To this end, the institution of diuretics, inotropes and even temporary mechanical circulatory support may improve RV function, thereby preparing it for a better adaptation post‐LVAD implantation. Furthermore, meticulous management of patients during the perioperative and immediate postoperative period should facilitate identification of RV failure refractory to medication. When RHF occurs late during chronic LVAD support, this is associated with worse long‐term outcomes. Careful monitoring of RV function and characterization of the origination deficit should therefore continue throughout the patient's entire follow‐up. Despite the useful information provided by the echocardiogram with respect to RV function, right heart catheterization frequently offers additional support for the assessment and optimization of RV function in LVAD‐supported patients. In any patient candidate for LVAD therapy, evaluation and treatment of RV function and failure should be assessed in a multidimensional and multidisciplinary manner.
Palladium‐Catalyzed Direct C(sp3)−H Arylation of 5H‐Imidazo[2,1‐a]isoindole Scaffolds With Arylbromides
Authors: Panza Florian , Hauwelle Alexandre , Briquet Antoine , Awada Ali , Levacher Vincent , Hoarau Christophe , Baudequin Christine 
Published: June 2024

AbstractThe study of Pd(0)‐catalyzed C−H bond arylation of methyl 5H‐imidazo[2,1‐a]isoindole‐3‐carboxylates with aryl bromides is reported. This methodology gives ready access to a wide range of methyl 5H‐imidazo[2,1‐a]isoindole‐3‐carboxylates that are monoarylated at their benzylic sites. The C(sp3)−H bond arylation methodology is driven by regioselectivity under weakly basic conditions avoiding remarkably side C(sp2)−H poly‐arylation of the (hetero)aromatic unit. The process was applied to the preparation of novel imidazo[2,1‐a]isoindole‐based neurotransmitter Neuropeptide S antagonist analog.
Mixed Liquid and Solid Phase Synthesis of Isopeptidic Desferrioxamine Analogues for Complexation of Zirconium
Authors: Outzen Lasse , Duc Nguyen Hoang , Ludolfs Darius , Maison Wolfgang 
Published: June 2024

Abstract89Zr has a number of advantageous properties for PET‐imaging, but optimal chelators for its widespread clinical application still need to be found. Tetrahydroxamates derived from the natural siderophore DFOB are promising candidates in this context. This study describes a solid‐phase approach to isopeptide analogs of DFOB (termed ipDFO*) with four hydroxamate groups for stable Zr(IV)‐chelation. The route uses either commercial or easily available Fmoc‐protected precursors and allows the synthesis of ipDFO* and clickable AZA−ipDFO* derivatives in only a few hours. The solid‐phase synthesis reduces the workload for the synthesis of ipDFO* and AZA−ipDFO* derivatives thus significantly compared to a previous multistep solution synthesis. The route is also modular and allows the synthesis of various ipDFO* derivatives with variation in the spacer length between the hydroxamate groups. This spacing is a critical parameter for finding the optimal chelator for hard metal cations like Zr(IV). It might thus help to speed up the search for an ideal Zr‐chelator for PET‐imaging and might also allow the extension to other metal cations of different size.
Detection and Differentiation of Amines and N‐Heterocycles via Recognition Enabled Chromatographic 19F NMR
Authors: Gu Guangxing , Zeng Yilin , Peng Tianci , Bao Wenjing , Zhang Ziyang , Wu Jian , Zhao Yanchuan 
Published: June 2024

AbstractIn this study, we successfully employed a 19F‐labeled cyclopalladium probe to achieve simultaneous differentiation and detection of various amines and N‐heterocyclic compounds. This method features a broad detection window, facilitating the discrimination and multi‐component analysis of structural analogs and isomers through the generation of characteristic 19F NMR signals with distinct chemical shifts. The utility of this approach is demonstrated in monitoring chemical reactions and identifying components in food, beverages, and cosmetics.
Harnessing volatility cascades with ensemble learning
Authors: Cheng Mingmian 
Published: June 2024

AbstractThis paper introduces a simple yet effective modification to bootstrap aggregation (bagging) and boosting techniques, aimed at addressing substantial errors arising from parameter estimation, particularly prevalent in macroeconomic and financial forecasting. We propose “egalitarian” bagging and boosting algorithms, where forecasts are derived through an equally weighted combination scheme following variable selection procedures, rather than relying on estimated model parameters. Our empirical work focuses on volatility forecasting, where our approach is applied to a hierarchical model that aggregates a diverse array of volatility components over different time intervals. Significant improvements in predictive accuracy are observed when conventional bagging and boosting approaches are replaced by their “egalitarian” counterparts, across a range of assets and forecast horizons. Notably, these improvements are most pronounced during periods of financial market turmoil, particularly for medium‐ to long‐term predictions. In contrast to boosting, which often yields a sparse model specification, bagging effectively leverages a diverse range of volatility cascades to capture rich information without succumbing to increasing estimation errors. The proposed “egalitarian” algorithm plays a crucial role in facilitating this process, contributing to the superior performance of bagging over other competing approaches.
Different coating application methods: Zein‐based edible coating containing Heracleum persicum essential oil for shelf‐life enhancement of whey‐less cheese
Authors: Rajaei Lak Hadis , Bazargani‐Gilani Behnaz , Karami Mostafa 
Published: June 2024

AbstractIn this research, the efficiency of brushing (Br), dipping (Di), spraying (S), and enrobing (En) methods was compared in three concentrations of 10%, 15%, and 20% of corn zein (Z) edible coating containing 0.5% of Heracleum persicum essential oil (HEO) in the shelf‐life improvement of whey‐less cheese during 56 days of cold storage. The results of the photography and colorimetric (L*, a*, and b* parameters) of the samples showed that the En method in 20% of Z created a uniform, brilliant, and attractive surface on the cheese pieces compared to the other groups during the storage period, and the S, Br, and Di methods were in the next categories, respectively. The findings of the texture analysis of the samples showed that all of the treatments significantly (p ≤ .05) preserved the hardness of the cheese samples compared to the control group, and the En method containing Z 20% and HEO was the most effective treatment in preventing the hardness loss of the samples during the 56‐day storage period. In all treatments, the growth of aerobic mesophilic bacteria, psychrotrophic bacteria, enterobacteriaceae, molds, and yeasts was significantly (p ≤ .05) reduced in comparison with the control sample, and the En method containing HEO and Z 20% was the most efficient in preventing the microbial growth. The rate of moisture loss, fat oxidation, and pH values of the studied samples significantly (p ≤ .05) decreased in the coated treatments containing a higher concentration of Z and HEO compared with other treatments during the storage period. According to the findings of this study, it can be concluded that the En technique containing Z20% and HEO0.5% was the most effective treatment in the shelf‐life improvement of whey‐less cheese during 56 days of the refrigerated storage period, and the S, Br, and Di methods were in the next ranks, respectively.
Two‐cut system suggested for tall wheatgrass to balance herbage yield and quality in the coastal saline–alkaline land around the Bohai Sea
Authors: Li Wei , Xiao Qiang , Li Hongwei , Chang Hao , Zheng Qi , Li Bin , Li Zhensheng 
Published: June 2024

AbstractBackgroundTall wheatgrass is a perennial salt‐tolerant bunchgrass, which is a promising candidate for establishing a “Coastal Grass Belt” in China, particularly in the coastal saline–alkaline soils surrounding the Bohai Sea.MethodsSeven harvesting treatments were performed to explore the optimal harvesting time and frequency for tall wheatgrass in coastal area. The dry matter yield (DMY) and forage nutritional values were investigated for each cut. The correlation between harvesting time and frequency thereof among the investigated traits was also determined.ResultsThe results showed that the two‐cut on June 18 and October 29 produced the highest DMY. Another two‐cut on May 26 and October 29 produced a relatively high crude protein (CP) yield. The DMY, contents of neutral detergent fiber (NDF), acid detergent fiber (ADF), and crude cellulose (CC) as well as CP yield were positively correlated to plant height, while the CP content and the relative feed value (RFV) were negatively correlated to plant height. The accumulating growing degree days, accumulated precipitation, and sunshine duration were positively correlated with plant height, DMY, contents of NDF, ADF, and CC as well as CP yield, but negatively correlated with CP content and RFV for the first cut.ConclusionsThe two‐cut treatment at the end of May and October may be suitable for tall wheatgrass in the “Coastal Grass Belt” targeted area.
Posterior default mode network is associated with the social performance in male children with autism spectrum disorder: A dynamic causal modeling analysis based on triple‐network model
Authors: Wang Lei , Qin Yue , Yang Shuhan , Jin Dayong , Zhu Yinhu , Li Xin , Li Wei , Wang Yarong , Jin Chenwang 
Published: June 2024

AbstractThe triple‐network model has been widely applied in neuropsychiatric disorders including autism spectrum disorder (ASD). However, the mechanism of causal regulations within the triple‐network and their relations with symptoms of ASD remains unclear. 81 male ASD and 80 well matched typically developing control (TDC) were included in this study, recruited from Autism Brain Image Data Exchange‐I datasets. Spatial reference‐based independent component analysis was used to identify the anterior and posterior part of default‐mode network (aDMN and pDMN), salience network (SN), and bilateral executive‐control network (ECN) from resting‐state functional magnetic resonance imaging data. Spectral dynamic causal model and parametric empirical Bayes with Bayesian model reduction/average were adopted to explore the effective connectivity (EC) within triple‐network and the relationship between EC and autism diagnostic observation schedule (ADOS) scores. After adjusting for age and site effect, ASD and TDC groups both showed inhibition patterns. Compared with TDC, ASD group showed weaker self‐inhibition in aDMN and pDMN, stronger inhibition in pDMN→aDMN, weaker inhibition in aDMN→LECN, pDMN→SN, LECN→SN, and LECN→RECN. Furthermore, negative relationships between ADOS scores and pDMN self‐inhibition strength, as well as with the EC of pDMN→aDMN were observed in ASD group. The present study reveals imbalanced effective connections within triple‐networks in ASD children. More attentions should be focused at the pDMN, which modulates the core symptoms of ASD and may serve as an important region for ASD diagnosis and the target region for ASD treatments.
Prognostic utility of the geriatric nutritional risk index for head and neck cancer: Systematic review and meta‐analysis
Authors: Tsai Yao‐Te , Kuo Liang‐Tseng , Wang Yun‐Ting , De Vito Andrea , Hao Sheng‐Po , Fang Ku‐Hao , Lee Yi‐Chan , Chen Kuan‐Yin , Lai Chia‐Hsuan , Tsai Yuan‐Hsiung , Huang Ethan I. , Tsai Ming‐Shao , Hsu Cheng‐Ming , Chang Geng‐He , Luan Chih‐Wei 
Published: June 2024

AbstractWe conducted a systematic review of the literature to assess the potential prognostic utility of geriatric nutritional risk index (GNRI) for head and neck cancer (HNC). We selected studies and extracted data after searching the Cochrane Library, EMBASE, and PubMed databases. The associations between GNRI and survival outcomes were explored by calculating hazard ratios (HRs) and 95% confidence intervals (CIs) through a random‐effects meta‐analysis. We included 11 studies that involved 2887 patients with HNC. The combined HR demonstrated significant associations of low GNRI with unfavorable progression‐free survival (HR = 1.87, 95% CI = 1.32–2.65, p < 0.001) and overall survival (HR = 3.04, 95% CI = 2.30–4.03, p < 0.001). The association between the GNRI and overall survival persisted across various subgroups. The GNRI could serve as a valuable prognostic biomarker for patients with HNC. Low GNRI scores are significantly associated with unfavorable survival outcomes.
Healthy Me, Healthy Planet: Evaluation of a pilot planetary health library program
Authors: Patrick Rebecca , Bruges Nicole , Gunasiri Hasini , Wang Yifan , Henderson‐Wilson Claire 
Published: June 2024

AbstractIssue AddressedThe Healthy Me, Healthy Planet program was an evidence‐informed pilot program conducted by a local libraries to promote the health co‐benefits of action on climate change.BackgroundAn impact evaluation of the Healthy Me, Healthy Planet program was conducted using a mixed methods research design including pre‐, during, and post‐program surveys and online focus groups.MethodsThe evaluation included 136 participants aged 18+ years who were able to understand and communicate in English or simplified Chinese language. Descriptive analyses of the survey data were integrated with thematic analyses of focus group (N = 2) data to generate key themes.ResultsKey impacts included individual and organisational capacity building, personal and social well‐being, and pro‐environmental knowledge, attitudes, and behaviour. Impacts on program participants included increased confidence, motivation, positive feelings, and personal well‐being after taking part in the Healthy Me, Healthy Planet program. Participants reported enhanced social connections, mental well‐being, and environmental benefits such as engaging within the community on environmental issues and feeling inspired to make sustainable lifestyle changes.ConclusionLibraries play a key role in promoting the health of people and planet in the community because they are a trusted, safe, and supportive community setting, a curator of credible and reliable evidence‐based information on health and planetary topics and a local and free provider for skills and literacy development.So WhatThe evaluation of the pilot suggests that participants improved their capacity to practice sustainable living and it is recommended that this program be expanded to other library settings to enhance community connection and support local planetary health initiatives.
Sweet corn phytoglycogen dendrimers as a lyoprotectant for dry‐state protein storage
Authors: Park Junha , Liu Renjie , Kim Alexander S. , Cyr Noah N. , Boehlein Susan K. , Resende Marcio F. R. , Savin Daniel A. , Bailey Laura S. , Sumerlin Brent S. , Hudalla Gregory A. 
Published: June 2024

AbstractProtein biotherapeutics typically require expensive cold‐chain storage to maintain their fold and function. Packaging proteins in the dry state via lyophilization can reduce these cold‐chain requirements. However, formulating proteins for lyophilization often requires extensive optimization of excipients that both maintain the protein folded state during freezing and drying (i.e., “cryoprotection” and “lyoprotection”), and form a cake to carry the dehydrated protein. Here we show that sweet corn phytoglycogens, which are glucose dendrimers, can act as both a protein lyoprotectant and a cake‐forming agent. Phytoglycogen (PG) dendrimers from 16 different maize sources (PG1‐16) were extracted via ethanol precipitation. PG size was generally consistent at ~70–100 nm for all variants, whereas the colloidal stability in water, protein contaminant level, and maximum density of cytocompatibility varied for PG1‐16. 10 mg/mL PG1, 2, 9, 13, 15, and 16 maintained the activity of various proteins, including green fluorescent protein, lysozyme, β‐galactosidase, and horseradish peroxidase, over a broad range of concentrations, through multiple rounds of lyophilization. PG13 was identified as the lead excipient candidate as it demonstrated narrow dispersity, colloidal stability in phosphate‐buffered saline, low protein contaminants, and cytocompatibility up to 10 mg/mL in NIH3T3 cell cultures. All dry protein‐PG13 mixtures had a cake‐like appearance and all frozen protein‐PG13 mixtures had a Tg' of ~ −26°C. The lyoprotection and cake‐forming properties of PG13 were density‐dependent, requiring a minimum density of 5 mg/mL for maximum activity. Collectively these data establish PG dendrimers as a new class of excipient to formulate proteins in the dry state.