bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of supercritical technology to obtain improved functional dietary fiber for the valorization of broccoli by‐product
Authors: Rivas María Ángeles , Benito María J. , Martín Alberto , de Guía Córdoba María , Gizaw Yesuneh , Casquete Rocío 
Published: November 2024

AbstractBackgroundThis research aimed to enhance the functional value of dietary fiber from broccoli leaves using supercritical fluid technology. By optimizing pressure, temperature, and time parameters through response surface methodology, the study sought to improve the bioactive properties of the fiber and develop a predictive model for its chemical composition and functional properties.ResultsStructural analysis indicated that modified samples had a higher concentration of oligosaccharides than control samples did, with significant increases in galacturonic acid and neutral sugars after supercritical fluid technology treatment, highlighting enhanced pectin release due to cell wall degradation. Functional properties, such as water solubility, glucose absorption capacity, and antioxidant activity, improved significantly under optimized conditions (191 bar, 40 °C, 1 h). Multivariate analysis confirmed the effectiveness of supercritical fluid technology in enhancing the dietary fiber properties, achieving a global desirability value of 0.805.ConclusionThese results underscore the potential of supercritical technology for valorizing broccoli leaf by‐products, enhancing their health‐promoting characteristics and functional applications in the food industry. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Enhanced Lipidomics Analysis of Breast Cancer Cells Using Three‐phase Liquid Extraction and Ultra High‐performance Liquid Chromatography Coupled With Quadrupole Time‐of‐Flight Tandem Mass Spectrometry
Authors: He Binhong , Ye Fengying , Feng Jieqing , Zhou Ting 
Published: November 2024

ABSTRACTLipid extraction of complex biological samples is essential for high‐quality data in liquid chromatography‐mass spectrometry (LC‐MS)‐based lipidomics. This study introduces a three‐phase liquid extraction (3PLE)‐ultra‐high‐performance LC coupled with quadrupole time‐of‐flight tandem MS method. This method was successfully applied to lipidomics analysis of breast cancer cells, including highly metastatic MDA‐MB‐231 and slightly metastatic MCF7 cells. The 3PLE method employed an n‐hexane/methyl tert‐butyl ether/acetonitrile/water solvent system that formed one aqueous and two organic phases. Neutral and polar lipids were enriched in the upper and middle organic phases, respectively, and combined for detection, thereby reducing analysis time. Compared with the Bligh and Dyer method, 3PLE achieved higher sensitivity and detected more features, with over a 50% increase in the relative abundance of nearly 50% of the differential lipids. In total, 21 differential lipids were identified in the MDA‐MB‐231 group and 22 in the MCF7 group compared to normal breast epithelial cells (MCF10A). Pathway analysis suggested that lipid changes in breast cancer cells were associated with glycerophospholipid metabolism, arachidonic acid metabolism, sphingolipid metabolism, and linoleic acid metabolism. The study presents a highly efficient lipidomics method, providing a scientific foundation for understanding breast cancer pathogenesis and aiding in diagnosis.
Surface Coating of ZIF‐8 Nanoparticles with Polyacrylic Acid: A Facile Approach to Enhance Chemical Stability for Biomedical Applications
Authors: Yamane Setsuko , Yusri Abdul Hadi Bin , Chen Po‐yu , van der Vlies André J. , Mabrouk Amira Ben , Fetzer Isabelle , Hasegawa Urara 
Published: November 2024

AbstractNanoparticles of zeolitic imidazole framework‐8 (ZIF‐8 NPs), which are the subclass of metal‐organic frameworks consisting of Zn ion and 2‐methylimidazole, have been identified as promising drug carriers since their large microporous structure is suited for encapsulating hydrophobic drug molecules. However, one of the limitations of ZIF‐8 NPs is their low stability in physiological solutions, especially in the presence of water and phosphate anions. These molecules can interact with the coordinatively unsaturated Zn sites at the external surface to induce the degradation of ZIF‐8 NPs. In this study, herein a facile approach is reported to enhance the chemical stability of ZIF‐8 NPs by surface coating with polyacrylic acid (PAA). The PAA‐coated ZIF‐8 (PAA‐ZIF‐8) NPs are prepared by mixing ZIF‐8 NPs and PAA in water. PAA coating inhibits the degradation of ZIF‐8 NPs in water as well as phosphate‐buffered saline over 6 days, which seems to be due to the coordination of carboxyl groups of PAA to the reactive Zn sites. Furthermore, the PAA‐ZIF‐8 NPs loaded with the anticancer drug doxorubicin (Dox) show cytotoxicity in human colon cancer cells. These results clearly show the feasibility of the PAA coating approach to improve the chemical stability of ZIF‐8 NPs without impairing their drug delivery capability.
Synthesis and Binding Properties of High‐Affinity Histidine‐Bearing Polymers for Wood Lignin
Authors: Hinohara Rika , Aso Yuji , Kobayashi Naoko , Saito Kaori , Watanabe Takashi , Tanaka Tomonari 
Published: November 2024

AbstractThe pursuit of molecules capable of binding to wood lignin is pivotal for advancing lignin degradation technology, particularly when combined with lignin degradation catalysts. In this study, synthetic polymers bearing histidine moieties, demonstrating remarkable affinity for wood lignin are reported. These polymers, featuring varying degrees of histidine substitution in the form of histidine methyl esters, are synthesized through controlled radical polymerization of an activated ester‐bearing monomer, employing a fluorescein‐labeled chain transfer agent and subsequent postpolymerization amidation with histidine methyl ester. The binding properties of these histidine‐bearing polymers with milled wood lignin under aqueous conditions are investigated. Qualitative assessment of lignin‐binding capabilities involve spectroscopic analysis of changes in absorbance of visible light and fluorescence intensity. Furthermore, quantitative evaluation is conducted through surface plasmon resonance measurements to determine the binding parameters of the polymers with wood lignin. Notably, polymers with higher histidine substitution exhibit enhanced binding affinity compared to those with lower histidine substitution levels.
Linker Group Fluorination Boosts Photovoltaic Performance of Branch‐Connected Dimerized Acceptors
Authors: Wang Yuxin , Jia Xinyuan , Ma Kangqiao , Zhao Wenkai , Liang Huazhe , Yao Zhaoyang , Long Guankui , Li Chenxi , Wan Xiangjian , Chen Yongsheng 
Published: November 2024

AbstractBranch‐connected dimerized acceptors can take full advantages of four end units in enhancing molecular packing comparing to that of terminal‐connected ones, thus potentially reaching the best balance between stability and power conversion efficiency (PCE) of organic solar cells (OSCs). Herein, two branch‐connected dimerized acceptors, namely D1 and D2, are developed by employing bithiophene and difluorinated bithiophene as linker groups, respectively. Induced by the fluorine atoms on linker group, D2 affords a larger molar extinction coefficient, more importantly, the optimized nanoscale film morphology and superior charge transport behavior comparing to D1. Consequently, D2‐based binary OSCs render a good PCE of 16.66%, outperforming that of 15.08% for D1‐based ones. This work highlights the great significance of linker group screening in designing high‐performance branch‐connected dimerized acceptors.
Factors Influencing the Bid‐Winning of Respondents in the Context of Crowdsourcing
Authors: Xu Yanjing , Lu Yue 
Published: November 2024

ABSTRACTThis article takes crowdsourcing as the research background, collects secondary data from the Yipin Freelancer website, constructs panel data of “respondent–date,” and uses the research framework of the elaboration likelihood model (ELM) to study the key factors influencing the bid‐winning probability of respondents. The study found that for the central path, there is a nonlinear inverted U‐shaped relationship between the respondents' success experience and skill diversity and the bid‐winning probability. For the peripheral path of task settings, the study found that a larger task bonus, more bonus recipients, and longer task deadlines are beneficial for respondents to win bids successfully. Finally, this article discusses the theoretical and practical significance of the research.
Rodent ischemic stroke models and their relevance in preclinical research
Authors: Thaysen Maria , Westi Emil , Clarkson Andrew N. , Wellendorph Petrine , Kristensen Mie 
Published: November 2024

AbstractStroke is a leading cause of death and disability worldwide, with ischemic stroke caused by an occluded vessel accounting for the majority of cases. Current treatments are limited to recanalization, either through thrombectomy or thrombolysis. Approved pharmacological interventions to suppress stroke‐associated excitotoxicity and neuroinflammatory events, leading to brain tissue death, are still lacking. Although numerous preclinical studies have been performed, they have yet to be translated into clinically relevant interventions. First‐line preclinical in vivo studies include the use of rodent ischemic stroke models, which vary in terms of how well they replicate human stroke pathophysiology and phenotype (including the formation of blood clot, blood–brain barrier disruption, neuroinflammation, and edema generation). Thus, rodent ischemic stroke models must be carefully chosen according to the specific pharmacological intervention to be tested. In this review, we aimed to provide an overview of the five most commonly used rodent ischemic stroke models and critically assess their advantages and limitations, with a primary focus on the acute phases of stroke.
Computation of Outer Inverse of Tensors Based on t‐Product
Authors: Behera Ratikanta , Sahoo Jajati Keshari , Wei Yimin 
Published: November 2024

ABSTRACTTensor computations play an essential role in various fields of science and engineering, including multiway data analysis. In this study, we established a few basic properties of the range and null space of a tensor by using block circulant matrices and a discrete Fourier matrix. We then discuss the outer inverse of the tensors based on ‐product with a prescribed range and kernel of third‐order tensors. We address the relation of this outer inverse with other generalized inverses, such as the Moore–Penrose inverse, group inverse, and Drazin inverse. In addition, we present a few algorithms for computing the outer inverses of the tensors. In particular, a ‐QR decomposition based algorithm was developed to compute outer inverses. It is well known that the confidentiality of information transmitted through the virtual world grows exponentially, and color image and video security have become a significant concern when communicating over the internet. As an application, a ‐QR decomposition based algorithm was demonstrated for concealing secret color images and videos.
Evaluation of depression at 6 and 12 months postpartum by examining depressive symptoms and self‐harm ideation during the early postpartum period: Tohoku Medical Megabank Project Birth and Three‐Generation Cohort Study
Authors: Orui Masatsugu , Obara Taku , Ishikuro Mami , Noda Aoi , Shinoda Genki , Murakami Keiko , Iwama Noriyuki , Chiba Ippei , Nakaya Kumi , Hatanaka Rieko , Kogure Mana , Kobayashi Natsuko , Kikuchi Saya , Metoki Hirohito , Kikuya Masahiro , Nakaya Naoki , Hozawa Atsushi , Tomita Hiroaki , Kuriyama Shinichi 
Published: November 2024

AbstractAimThe aim of this study was to evaluate depression at 6 and 12 months postpartum, using the Edinburgh Postpartum Depression Scale (EPDS) total score and its subitem regarding self‐harm ideation (SHI) at 1 month postpartum.MethodsA sample of 12,358 postpartum women answered the EPDS and questionaries at 1, 6, and 12 months postpartum longitudinally.ResultsFor participants with postpartum depression (PPD; EPDS total score ≥9) and SHI (SHI sub‐score ≥1) at 1 month postpartum, the risk of depression at 6 and 12 months postpartum (odds ratio [95% confidence interval] at 6 and 12 months postpartum: 20.03 [16.8–23.8] and 14.55 [12.3–17.2], respectively) was higher than for those with PPD but without SHI at 1 month postpartum (OR: 8.57 [7.36–10.0], and 6.24 [5.38–7.24], respectively). Additionally, SHI even without depressive symptoms at 1 month postpartum is also a risk for depression at 6 and 12 months postpartum. To support our longitudinal evaluation of depression at 6 and 12 months postpartum, these related factors were examined: traumatic events or relocations after the Great East Japan Earthquake, employment status, household income, personality traits, sleep status, psychological distress, and social networks. The result showed employment status, low household income and poor social networks were significantly associated with depression at 12 months postpartum but not at 6 months postpartum.ConclusionThis study showed a high risk of depression at 6 and 12 months postpartum for those who had depressive symptoms with SHI at 1 month postpartum. Our findings may contribute to the precise evaluation of depression at 6 and 12 months postpartum while considering sleep status, psychological distress and social network during pregnancy.
Rapid estimation of carbon footprints in agrochemical development: correlation of process mass intensity with CO2 emissions
Authors: Rohanna John , Tenzeldam Audra , Jenkins Robin , Li Yuan , Schuitman Abe 
Published: November 2024

AbstractBACKGROUNDThe agricultural sector faces a challenge in balancing increasing food demand while minimizing environmental impacts. Crop protection products are crucial for achieving high crop yields and ensuring food security. However, life cycle assessment (LCA), the standard framework for evaluating environmental impact, is time‐consuming and costly, especially during early product development. To address this, a novel tool correlating process mass intensity (PMI) with greenhouse gas (GHG) emissions has been developed as a streamlined alternative.RESULTSA strong linear correlation (R2 = 0.95) was identified between PMI and product GHG emissions, enabling rapid carbon footprint estimation using simplified PMI data. The model was validated using 13 small molecule active ingredients (AIs), showing a mean absolute error (MAE) of 55 g CO₂/kg AI and a root mean square error (RMSE) of 64 kg CO₂/kg AI. Residual analysis demonstrated random distribution, suggesting reliable predictions.CONCLUSIONThe PMI‐based tool provides rapid, accurate estimates of product carbon footprint (PCF), supporting early‐stage decision‐making in research and development for agrochemical processes. Its simplicity makes it applicable across various chemical sectors and valuable for sustainability efforts. © 2024 Society of Chemical Industry.
Atmospheric warming during rapid sea ice loss over the Barents–Kara seas in winter
Authors: Hu Xia , Jiang Zhina , Dai Guokun 
Published: November 2024

AbstractThe atmospheric temperature change associated with rapid sea ice loss events over the Barents–Kara Seas (BKS) is explored. Rapid sea ice loss events are defined as periods with a tendency for sea ice concentration averaged over BKS to be below the fifth percentile of the probability density function distribution during the winters of 1979–2020 for at least three consecutive days. Composite analysis shows that there is a significantly positive bottom‐amplified temperature anomaly ahead of the rapid sea ice loss, which is closely associated with a wave train composed of a Ural blocking and an upstream positive phase of the North Atlantic Oscillation. This structure is favorable for the transport of warm and moist air into the BKS, and therefore, the tropospheric temperature, including the surface air temperature, increases through horizontal warm‐temperature advection, specifically through warm advection of the climatological temperature by the anomalous wind. The cooling over the BKS due to the adiabatic effect and vertical mixing opposes the horizontal warm‐temperature advection above and below about 900 hPa, respectively. However, an increase in skin temperature prominently results from enhanced downward long‐wave radiation, which is also the main contributor to the rapid sea ice loss.
Exploring Chlorinated Solvents as Electrolytes for Lithium Metal Batteries: A DFT and MD Study
Authors: Li Zhe , Zhang Jingwei , Xie Weiwei , Zhao Qing 
Published: November 2024

ABSTRACTElectrolytes with fluorinated solvents have been regarded as a promising strategy to stabilize high‐voltage cathodes and the interphase of lithium anode in lithium metal batteries (LMBs). However, the rigorous synthesis approach and high cost have led to a demand for developing cost‐effective solvents with suitable properties for LMBs. Herein, we explored the possibility of using chlorinate solvents as electrolytes using density functional theory (DFT) and classical molecular dynamics (MD) simulation. Taking ether (1,2‐dimethoxyethane [DME], 1,3‐dioxolane [DOL]), carbonate (dimethyl carbonate [DMC], and ethylene carbonate [EC]) as examples, we first compared the energy variation of the highest occupied molecular orbital (HOMO) and lowest unoccupied molecular orbital (LUMO) upon Cl and F substitution. In particular, we found that 1,2‐bis(chloromethoxy)ethane (DME‐2Cl‐2) has the lowest HOMO and the highest LUMO level among the chlorinated DME after coordinating with Li+, enabling a potentially wide voltage stability. Further MD simulation reveals that lithium ions in DME‐2Cl‐2 has a weaker solvation coordination with solvents but stronger interaction with anions than DME and 1,2‐bis(Fluoromethoxy)ethane (DME‐2F‐2), which is more beneficial for forming stable anion‐derived solid electrolyte interphase (SEI). Our findings suggest that chlorinated solvents can be used as promising electrolytes for LMBs.
Unraveling contemporary trends on United Nations sustainable development goals: A new global bibliometric and literature review analysis
Authors: Gyimah Prince , Appiah Kingsley Opoku , Appiagyei Kwadjo 
Published: November 2024

AbstractThis review presents a bibliometric performance and systematic literature review of research publications related to the 17 United Nations (UN) sustainable development goals (SDGs) in business studies. The study employs the 2020 revised Preferred Reporting Items for Systematic Reviews and Meta‐Analyses (PRISMA) framework to systematically evaluate and identify 583 articles sourced from esteemed academic databases, including Scopus and Web of Science, as well as seven reputable publishers and digital libraries, for subsequent analysis and synthesis. The identified 583 papers on SDGs, authored by 1610 scholars and published in 207 peer‐reviewed sources, are analyzed using VOSviewer and R Studio software. The analysis reveals the existence of nine independent clusters of SDGs business research: artificial intelligence and digitalization (red cluster), business collaboration (green cluster), corporate sustainability (blue cluster), circular economy and corporate social responsibility (yellow cluster), entrepreneurship and innovation (purple cluster), education for developing countries (aqua‐cluster), climate change and tourism (orange‐cluster), Africa perspectives (brown cluster), and sustainable investment (black cluster). This review highlights the foundation of the business studies debate linked to the advancement of the SDGs after the adoption by the United Nations. Key insights, future research directions and conclusion including implications are discussed.
A gigantic new terror bird (Cariamiformes, Phorusrhacidae) from Middle Miocene tropical environments of La Venta in northern South America
Authors: Degrange Federico J. , Cooke Siobhan B. , Ortiz‐Pabon Luis G. , Pelegrin Jonathan S. , Perdomo Cesar A. , Salas‐Gismondi Rodolfo , Link Andrés 
Published: November 2024

AbstractOur knowledge of the fossil avifauna from the Middle Miocene La Venta locality in Colombia is limited almost entirely to aquatic birds. Phorusrhacidae, popularly known as ‘terror birds’, are a group of highly diversified cursorial birds that played the role of apex predators during most of the Cenozoic. Here we present the first record of a phorusrhacid from the La Venta locality. This terror bird can be assigned to the ‘Phorusrhacinae’, a subfamily for which the monophyly is under debate. The fragment of left distal tibiotarsus represents the most northern record of this group for South America and may correspond to the largest terror bird that ever existed. This suggests that terror birds might also have inhabited more tropical ecosystems, providing evidence that they were apex predators in tropical palaeocommunities. Additionally, our research contributes to an understanding of the biogeographical patterns of the Phorusrhacidae lineage dispersal into northern South America and subsequent colonization of North America.
A Method for Determining Ten Alkaloids in Feed: Rapid and Accurate Quantification Based on Ultra‐High Performance Liquid Chromatography‐Tandem Mass Spectrometry
Authors: Zhao Juan , He Xiwen , Hong Wei , Wang Junming , Xue Nini , Zhao Caihui , Lei Yiyue 
Published: November 2024

ABSTRACTIn this study, ultra‐high performance liquid chromatography‐tandem mass spectrometry (UHPLC‐MS/MS) was employed for the rapid detection and analysis of 10 alkaloids in feed, such as morphine, caffeine, and sanguinarine. The methodology involved sample extraction using methanol, purification with an amino column (NH2), separation via a Hypersil GOLD C18 column (100 × 2.1 mm, 1.9 µm), and elution using a methanol‐0.1% formic acid aqueous solution as the mobile phase, with a flow rate of 0.3 mL min−1 and a column temperature of 40°C. Ten compounds showed a good linear range within the range of 0.01–5 ng mL−1, with a correlation coefficient (R2) exceeding 0.99. The limit of detection (LOD) ranged from 0.002 to 0.01 mg kg−1. Peak areas demonstrated excellent linearity across various concentrations. Furthermore, the study determined the LOD and LOQ for the 10 alkaloids. The recovery rate for different feed types ranged from 95.1% to 116.8%, with a relative deviation (RSDn = 6) of 0.86% to 1.31%. Overall, this method offers good reproducibility, high sensitivity, and stability, making it suitable for the detection and analysis of alkaloids in feed.