bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proton Intercalation/De‐intercalation Chemistry in Phenazine‐based Anode for Hydronium‐ion Batteries
Authors: Ma Yuanyuan , Wei Yuan , Han Wenjuan , Tong Yuhao , Song AJing , Zhang Jianhua , Li Hongbao , Li Xifei , Yang Jianping 
Published: October 2023

AbstractHydronium‐ion batteries have received significant attention owing to the merits of extraordinary sustainability and excellent rate abilities. However, achieving high‐performance hydronium‐ion batteries remains a challenge due to the inferior properties of anode materials in strong acid electrolyte. Herein, a hydronium‐ion battery is constructed which is based on a diquinoxalino [2,3‐a:2’,3’‐c] phenazine (HATN) anode and a MnO2@graphite felt cathode in a hybrid acidic electrolyte. The fast kinetics of hydronium‐ion insertion/extraction into HATN electrode endows the HATN//MnO2@GF battery with enhanced electrochemical performance. This battery exhibits an excellent rate performance (266 mAh g−1 at 0.5 A g−1, 97 mAh g−1 at 50 A g−1), attractive energy density (182.1 Wh kg−1) and power density (31.2 kW kg−1), along with long‐term cycle stability. These results shed light on the development of advanced hydronium‐ion batteries.
Innovations in applications and prospects of non‐isocyanate polyurethane bioplastics
Authors: Mangal Mangal , H. Supriya , Bose Suryasarathi , Banerjee Tamal 
Published: October 2023

AbstractCurrently, conventional plastics are necessary for a variety of aspects of modern daily life, including applications in the fields of healthcare, technology, and construction. However, they could also contain potentially hazardous compounds like isocyanates, whose degradation has a negative impact on both the environment and human health. Therefore, researchers are exploring alternatives to plastic which is sustainable and environmentally friendly without compromising its mechanical and physical features. This review study highlights the production of highly eco‐friendly bioplastic as an efficient alternative to non‐biodegradable conventional plastic. Bioplastics are produced from various renewable biomass sources such as plant debris, fatty acids, and oils. Poly‐addition of di‐isocyanates and polyols is a technique employed over decades to produce polyurethanes (PUs) bioplastics from renewable biomass feedstock. The toxicity of isocyanates is a major concern with the above‐mentioned approach. Novel green synthetic approaches for polyurethanes without using isocyanates have been attracting greater interest in recent years to overcome the toxicity of isocyanate‐containing raw materials. The polyaddition of cyclic carbonates (CCs) and polyfunctional amines appears to be the most promising method to obtain non‐isocyanate polyurethanes (NIPUs). This method results in the creation of polymeric materials with distinctive and adaptable features with the elimination of harmful compounds. Consequently, non‐isocyanate polyurethanes represent a new class of green polymeric materials. In this review study, we have discussed the possibility of creating novel NIPUs from renewable feedstocks in the context of the growing demand for efficient and ecologically friendly plastic products.
Induced Circular Dichroism Analysis of Thermally Induced Conformational Changes on Protein Binding Sites Under a Crowding Environment
Authors: Ota Chikashi , Konishi Tomoya , Tanaka Shun‐ichi , Takano Kazufumi 
Published: October 2023

AbstractProtein‐ligand interactions in crowded cellular environments play a crucial role in biological functions. The crowded environment can perturb the overall protein structure and local conformation, thereby influencing the binding pathway of protein‐ligand reactions within the cellular milieu. Therefore, a detailed understanding of the local conformation is crucial for elucidating the intricacies of protein‐ligand interactions in crowded cellular environments. In this study, we investigated the feasibility of induced circular dichroism (ICD) using 8‐anilinonaphthalene‐1‐sulfonic acid (ANS) for local conformational analysis at the binding site in a crowding environment. Bovine serum albumin (BSA) concentration‐dependent measurements were performed to assess the feasibility of ANS‐ICD for analyzing protein interior binding sites. The results showed distinct changes in the ANS‐ICD spectra of BSA solutions, indicating their potential for analyzing the internal conformation of proteins. Moreover, temperature‐dependent measurements were performed in dilute and crowding environments, revealing distinct denaturation pathways of BSA binding sites. Principal component analysis of ANS‐ICD spectral changes revealed lower temperature pre‐denaturation in the crowded solution than that in the diluted solution, suggesting destabilization of binding sites owing to self‐crowding repulsive interactions. The established ANS‐ICD method can provide valuable conformational insights into protein‐ligand interactions in crowded cellular environments.
Forensic validation of a combined analysis of mRNA and miRNA markers for precise tissue origin inferences of five kinds of body fluids by RT‐qPCR
Authors: Chen Xuebing , Xu Hui , Zhu Bofeng 
Published: October 2023

AbstractCorrectly inferring the tissue origin types of forensic‐relevant body fluids left at a crime scene is beneficial for reconstructing a crime scene. However, it is still a challenge to accurately identify different kinds of body fluids at a crime scene. Shorter sequence length and anti‐degradation microRNA (miRNA) can be used to infer the tissue sources of biological fluid traces, but a limited number of miRNAs are tissue specific. The application of messenger RNA (mRNA) has been confirmed by different studies based on its high tissue specificity. According to the differential expression features of mRNA or miRNA in forensically relevant body fluids, this study developed a simultaneously reversed mRNA and miRNA system and then used these two types of RNAs for the determinations of five common kinds of body fluids. Compared with previously reported single kind of mRNA or miRNA assay, the combined mRNA and miRNA system showed good advantages for human body fluid identifications, especially it could be applied in mixed samples. In conclusion, the obtained results indicated that this combined mRNA and miRNA system might provide a scientific and accurate reference for body fluid identifications.
Data‐driven models for predicting remaining useful life of high‐speed shaft bearings in wind turbines using vibration signal analysis and sparrow search algorithm
Authors: Pandit Ravi , Xie Weixun 
Published: October 2023

AbstractWind turbine bearings play a crucial role in ensuring the safe and efficient operation of wind turbines. Accurate estimation of the remaining useful life (RUL) of bearings can significantly reduce operating and maintenance costs. In this paper, we propose three advanced data‐driven models to predict the RUL of high‐speed shaft bearings in wind turbines. These models combine the sparrow search algorithm (SSA) with three different regression models, namely support vector machine, random forest (RF) regression and Gaussian process regression. The models are based on features extracted from the vibration signal analysis, and the features are selected based on their monotonicity to evaluate bearing degradation. To optimize the performance of the regression models, all model parameters are tuned using the SSA algorithm. The proposed models are validated using vibration data collected from a real 2 MW commercial wind turbine. Our results demonstrate that the proposed models are effective in predicting the RUL of wind turbine bearings, and the SSA algorithm improves the accuracy of the predictions.
Inundation and flow properties of a runoff‐generated debris flow following successive high‐severity wildfires in northern Arizona, USA
Authors: Gorr Alexander N. , McGuire Luke A. , Youberg Ann M. , Beers Rebecca , Liu Tao 
Published: October 2023

AbstractBurned slopes are susceptible to runoff‐generated debris flows in the years following wildfire due to reductions in vegetation cover and soil infiltration capacity. Debris flows can pose serious threats to downstream communities, so quantifying variations in flow properties along debris‐flow runout paths is needed to improve both conceptual and quantitative models of debris‐flow behaviour to help anticipate and mitigate the risk associated with these events. Changes in flow properties along the runout paths of the runoff‐generated debris flows that follow fire may be particularly dramatic, since they initiate when a water‐dominated flow rapidly entrains sediment and later transition back to a water‐dominated flow once they reach greater drainage areas and lower slopes. Here, we study the properties of a debris flow that initiated 1 month following the 2022 Pipeline Fire in northern Arizona, USA. We categorized flow type into two classes, granular debris flow and muddy debris flow, along the 7‐km runout path and examined how flow properties varied between the phases. Changes in channel gradient and confinement likely facilitated the transition between the flow phases, which were characterized by significant differences in maximum clast size, but similar clay content and fine fractions. We also found that the volume and runout distance of the debris flow were 28 and six times greater, respectively, than that of a debris flow that initiated in the same watershed following a fire 12 years earlier. We attribute these differences to the combined effects of two high‐severity fires, suggesting that consideration of recent fire history could improve post‐fire debris‐flow hazard assessments. Results of this study provide quantitative constraints on changes in post‐fire debris‐flow properties along a runout path. Data collected in this study add to a small number of debris‐flow inundation datasets that can be used to test runout models in post‐fire settings.
Study on the inhibitory effect of DL‐malic acid on the phase structure and combustion characteristics of coal
Authors: Sun Qingqing , Niu Huiyong , Yang Yanxiao , Sun Siwei 
Published: October 2023

AbstractDL‐malic acid (DMA), as a recognized antioxidant inhibitor and chelating agent in the food and chemical industries, has good application prospects in coal fire prevention and control. This paper investigates the impact of a DMA solution on the surface properties and phase structure of coal through a range of analytical techniques, including electron microscope scanning, particle size analysis, and x‐ray diffraction. The thermal behavior characteristics of DMA‐treated coal were analyzed using thermogravimetric experiments. The results show that after adding malic acid, the particle size of coal sample is reduced, the sphericity and roundness are reduced, and the pore size is increased. The hydroxyapatite and calcite components in coal were dissolved and consumed, and the calcite components were gradually depleted with the increase of DMA concentration. The flocculent structure produced by the condensation of the crushing residue and broken small particles are attached to the internal pores of coal, which reduced the coal oxygen contact sites and increases the content of the sealed solution, resulting in the increase of the thermal characteristic temperature of the coal and the inhibition of the oxidation heat generation process. DMA has obvious inhibitory effect on fresh coal and oxidized coal, and the inhibitory effect is stronger on high‐temperature oxidized coal. Therefore, DMA can be effectively applied to the prevention and control of spontaneous combustion of residual coal in goaf. The research results provide a reference for the research of coal fire prevention technology and the preparation of environmentally friendly flame retardant materials.
Unlocking the genetic potential of Ethiopian durum wheat landraces with high protein quality: Sources to be used in future breeding for pasta production
Authors: Mulugeta Behailu , Tesfaye Kassahun , Ortiz Rodomiro , Geleta Mulatu , Haileselassie Teklehaimanot , Hammenhag Cecilia , Hailu Faris , Johansson Eva 
Published: October 2023

AbstractThe content and composition of the grain storage proteins in wheat determine to a high extent its end‐use quality for pasta and bread production. This study aimed to evaluate the content and composition of the grain storage proteins in Ethiopian landraces and cultivars to contribute to future breeding toward improved pasta quality. Thus, 116 landraces and 34 cultivars originating from Ethiopia were grown in three locations, and the protein parameters were analyzed using size exclusion‐high performance liquid chromatography (SE‐HPLC). A considerable variation in the amount of the analyzed protein parameters was found. The genotypes, environments, and interactions contributed significantly (p < 0.001) to the differences obtained. The broad‐sense heritability was high (0.75–0.98) for all protein parameters except for unextractable small monomeric protein (uSMP). Using the principal component analysis (PCA) to evaluate the impact of protein parameters and using either PCA or unweighted pair group method with arithmetic mean (UPGMA) to assess the impact of the genetic composition, the cultivar group was found to form a separate cluster. This indicates that durum wheat improvement in Ethiopia has relied on exotic materials, which might result from a narrow genetic base. Unlike most landraces, most released cultivars showed a high and stable gluten strength across environments. Two landraces, G057 and G107, were found genetically distinct from the released cultivars but with high and stable gluten. The two selected landraces might be of extremely high value for future use in durum wheat breeding programs, as they might be adapted to wide‐ranging Ethiopian growing conditions, they might carry genes of relevance to withstand abiotic and biotic stresses, and they seem to hold essential protein properties, which might result in high‐quality grains for industrial processes.
Lipid‐lowering activity and underlying mechanism of glycosylated peptide–calcium chelate prepared by transglutaminase pathway
Authors: Wu Xiaoping , Chen Xu , Cai Xixi , Wang Shaoyun 
Published: October 2023

AbstractThe compounds that promote calcium absorption and osteogenesis may have great potential in controlling adipogenesis and obesity. In this study, the glycosylated peptides–calcium chelate prepared from Crimson Snapper scale protein hydrolysates (CSPHs) and xylooligosaccharide (XOS) via transglutaminase pathway with calcium absorption promoting and osteogenic activities, named XOS‐CSPHs‐Ca‐TG, were used to explore the potential prebiotic effect and lipid‐lowering activity on 3T3‐L1 cells. The presence of XOS‐CSPHs‐Ca‐TG in pure cultures could significantly promote the proliferation of probiotics (Bifidobacterium adolescentis and Lactobacillus acidophilus), enabling them to enter the logarithmic growth phase 2–4 h earlier. Results of in vitro fermentation of mice intestinal flora further indicated that XOS‐CSPHs‐Ca‐TG increased the number of beneficial bacteria such as Bifidobacterium and Lactobacillus by 11.57% and 7.63%, respectively, and boosted the production of short‐chain fatty acids, thereby improving the colonization ability of the intestinal microbiota. Results of quantitative real‐time polymerase chain reaction confirmed that XOS‐CSPHs‐Ca‐TG achieved lipid‐lowering effects by accelerating calcium influx and activating the mitogen‐activated protein kinase/extracellular signal‐regulated kinases signaling pathway, thereby inhibiting the gene expressions of the downstream peroxisome proliferator‐activated receptors γ and CCAAT/enhancer‐binding protein α, and further attenuating the secretion of adipokines and controlling the expression of key lipases. These results suggest that glycosylated peptides–calcium chelates are potentially functional foods in lipid metabolism‐related disease prevention.
Intrusion detection system using metaheuristic fireworks optimization based feature selection with deep learning on Internet of Things environment
Authors: Jayasankar T. , Kiruba Buri R. , Maheswaravenkatesh P. 
Published: October 2023

AbstractInternet of Things (IoT), cloud computing, and other significant advancements in communication have created new security challenges. Due to these advancements and the ineffectiveness of the current security measures, cyber‐attacks are also increasing quickly. Recently, several artificial intelligence (AI)–based solutions have been presented for various secure applications, such as intrusion detection. This article proposes an intrusion detection system using dynamic search fireworks optimization–based feature selection with optimal deep recurrent neural network (DFWAFS‐ODRNN) model in IoT environment. The presented DFWAFS‐ODRNN model follows a two‐stage process, namely, feature selection and intrusion classification. In the first phase, the DFWAFS‐ODRNN model elects an optimal subset of features using the dynamic search fireworks optimization algorithm (DFWAFS) technique. Next, in the second stage, the intrusions are identified and categorized using the DRNN model. At last, the hyperparameters of the DRNN are optimally chosen by the Nadam optimizer. A detailed simulation analysis of the DFWAFS‐ODRNN model is validated on benchmark intrusion detection system (IDS) dataset, and the outcomes show the efficacy of intrusion detection. The proposed model efficiently detects the intrusion detection with an accuracy of 96.11%.
Functional foods of sub‐Saharan Africa and their implications in the management of type 2 diabetes: A review
Authors: Matsinkou Soh Rosane , Ngaha Damndja Wilfred , Njintang Yanou Nicolas 
Published: October 2023

AbstractThroughout the world, the prevalence of metabolic diseases in general and type 2 diabetes (T2DM) in particular is constantly growing, and sub‐Saharan Africa (SSA) is not spared. The use of functional foods is a more practical option among the different approaches used in the management of T2DM owing to the fact that they are relatively less costly, safer, and more accessible. In addition to their low glycemic index just like foods currently used to manage diabetes, functional foods contain bioactive compounds such as polyphenols, dietary fibers, saponins, and peptides. They are so named because they have additional health advantages beyond their basic nutritional worth. Bioactive compounds can be found in a variety of SSA plant‐based foods, such as spices, fruits, vegetables, legumes, starchy foods, prepared foods, mixed foods, and prepared dishes. The goal of this review is to highlight some of the investigations into the effectiveness of local food and their antidiabetic mechanisms that have been studied in various SSA regions. Using the literature review as a basis, the authors state that SSA foods are rich in various bioactive compounds capable of regulating blood sugar through enhanced glucose tolerance, antioxidant effects, insulin sensitivity, and inhibition or activation of some key enzymes of the glucose metabolism that are linked to the prevention and management of T2DM. Many of the cited findings are preliminary, obtained from cell and preclinical studies, and therefore other studies need to be done to demonstrate the full potential of these foods to serve as bases for dietary guidelines.
Conditional cash transfers and women's reproductive choices
Authors: Laszlo Sonia , Majid Muhammad Farhan , Renée Laëtitia 
Published: October 2023

AbstractWe study potential non‐targeted effects of a large‐scale national conditional cash transfer program—Peru's Juntos—on the fertility and reproductive decisions of adult beneficiaries. We use an event study design, exploiting time and geographic variation in the rollout of the program, to identify the causal effects of the program. We find that Juntos decreases the number of children that adult beneficiaries have and that these effects persist over time. We explore various mechanisms and find that Juntos does not affect fertility preferences but rather empowers women to avoid unwanted births. We provide evidence that this decrease is most likely due to better access to and more extensive use of modern birth control methods.
RORα overexpression reduced interleukin‐33 expression and prevented mast cell degranulation and inflammation by inducing autophagy in allergic rhinitis
Authors: Yu Wangbo , Du Jingwei , Peng Lijuan , Zhang Tao 
Published: October 2023

AbstractBackgroundRetinoid acid receptor related orphan receptor α (RORα) is a nuclear receptor that along with other bioactive factors regulates cell proliferation, differentiation, and immunomodulation in vivo.AimsThe objective of this study was to explore the function and mechanism of RORα in allergic rhinitis (AR).Materials and MethodsDerp1 was used to construct an AR cell model in HNEpC cells, and RORα was overexpressed or silenced in the AR HNEpC cells. Next, LAD2 cells were co‐cultured with the Derp1‐treated HNEpC cells. Additionally, an AR mouse model was established using by OVA, and a RORα Adenovirus was delivered by nebulizing. Pathological tissue structures were evaluated by hematoxylin‐eosin staining, and the levels of RORα, interleukin‐33 (IL‐33), and other proteins were analyzed immunohistochemistry, western blotting, and immunofluorescence staining. IL‐33, IL‐4, IL‐5, and IL‐13 levels were detected using enzyme‐linked immunosorbent assay kits and cell migration was assessed by Transwell assays.ResultsOur data showed that RORα was downregulated in the nasal mucosa tissues of AR patients. Derp1 treatment could cause a downregulation of RORα, upregulation of IL‐33, the induction of NLRP3 inflammasomes, and cell migration in HNEpC cells. Furthermore, RORα overexpression dramatically attenuated IL‐33 levels, NLRP3 inflammasome activity, and the migration of AR HNEpC cells induced with Derp1. Moreover, RORα in AR HNEpC cells could prevent mast cell (MC) degranulation and inflammation by accelerating autophagy, RORα overexpression inhibited MC degranulation and NLRP3‐induced inflammation in the AR model mice. RORα overexpression reduced IL‐33 expression in nasal epithelial cells, and also suppressed MC degranulation and inflammation by promoting autophagy.ConclusionRORα inhibits NLRP3 inflammasome in HNEpC, and attenuated mast cells degranulation and inflammation through autophagy in AR.
How important is tourism for growth?
Authors: Panagiotidis Theodore , Mussoni Maurizio , Voucharas Georgios 
Published: October 2023

AbstractWe revisit the tourism‐led growth hypothesis by utilising a panel set of 108 countries over the period 1996–2017. We quantify the effects of tourism on the entire conditional distribution of economic growth for both relatively poor and relatively rich countries within a panel quantile regression framework. We address the unobserved heterogeneity and potential endogeneity concerns. We reveal that the lower the conditional growth rate a country experiences the more important is tourism development for the conditional growth distribution for both developing and developed countries. The size of the effect in developed countries is twice as high as in developing ones. On the other hand, tourism specialisation is beneficial only at higher quantiles of the conditional growth distribution and only for developed countries. On the contrary, it brings about an undesirable effect in developing countries. Finally, we examine the impact of a reduction in tourism activity on economic growth due to an exogenous shock (i.e., COVID‐19). Simulation analysis based on the quantile regression estimates shows that countries facing relatively low growth rates conditionally to the growth distribution are affected the most. Policymakers may consider the importance of tourism activity in the growth process and formulate strategies that align with the growth experience of each country.