bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oxidation State‐Based Selectivity Tuning in Transition Metal Catalysis
Authors: Zou Tian‐Yi , Zhang Qing‐Wei 
Published: December 2023

AbstractTuning between different selectivity is a challenging yet promising aspect in transition metal catalysis. Traditional methods for the attainment of synthetically relevant products rely on changing the solvent, ligand or additive. Despite the existing examples, outcomes of new catalytic conditions remain elusive. Recently, a novel tuning strategy based on the oxidation state of metal has drawn our attention. This method highlights the difference in reaction pathways, exhibiting great potential for high predictability. Nonetheless, researches within this field are scarcely‐reported in the present literature, and many of which show limitations in the elucidation of mechanism. To fully handle this tactic, more in‐depth investigations are demanded.
One‐pot Construction of Metal Nanoparticles Loaded COF Catalysts for Aqueous Hydrogenation Reactions
Authors: Lin Xiaogeng , Ma Xingyu , He Yasan , Li Shijun , Chen Wangzhi , Li Lei 
Published: December 2023

AbstractThe catalysis performance of metal nanoparticles (NPs) will be significantly deteriorated because of their spontaneous agglomeration during practical applications. Covalent‐organic frameworks (COFs) materials with functional groups and well‐defined channels benefit for the dispersion and anchor of metal ions and the confined growth of metal NPs, working as an ideal platform to compose catalytic systems. In this article, we report a one‐pot strategy for the preparation of metal NPs loaded COFs without the need of post‐modification. During the polymerization process, the pre‐added metal ions were stabilized by the rapidly formed COF oligomers and hardly disturb the construction of COFs. After reduction, metal NPs are uniformly anchored on the COF matrix. Eventually, a wide spectrum of metal NPs, including Au, Pd, Pt, AuPd, CuPd, CuPt and CuPdPt, loaded COFs are successfully prepared. The versatility and metal ions anchoring mechanism are verified with four different COF matrixes. Taking AuPd NPs as example, the resultant AuPd NPs loaded COF materials can selectively decompose ammonium formate and produce hydrogen in‐situ, exhibiting over 99 % conversion of hydrodechlorination for chlorobenzenes and nitro‐reduction reaction for nitroaromatic compounds under ambient temperature in aqueous solution.
Highly sensitive electrochemical determination of chemical oxygen demand by carbon‐capsulated CuOx derived from Cu foam supported Cu‐MOF
Authors: Li Pei , Yan Yu , Sun Yining , Chang Qing , Xie Yuqun , Jiang Guodong 
Published: December 2023

AbstractEfficient detection of chemical oxygen demand (COD) is crucial for effective pollution prevention. Traditional Cu‐based electrodes, widely utilized for COD sensors suffer from issues related to low activity and stability. This study introduced a novel approach by employing a copper foam‐supported metal‐organic frameworks (Cu‐MOF), synthesized through a solvothermal method, which is subsequently pyrolyzed to yield a carbon‐capsulated CuOx/Cu foam electrode. Cyclic voltammetry analysis demonstrated that the carbon‐capsulated CuOx/Cu foam electrode exhibited superior redox activity, notably generating an increased amount of Cu(III) species. This enhancement significantly contributed to the electrocatalytic oxidation of organic compounds. The developed electrode demonstrated a wide linear detection range of 5–600 ppm, with a low detection limit of 0.96 ppm (S/N=3) for COD sensing. Notably, the sensor exhibited excellent anti‐interference capabilities, desirable reproducibility, and stability. The proposed method was successfully applied to determine COD in real water samples. Comparative analysis with the standard potassium dichromate method revealed high accuracy and a low relative error (2.89 %–6.72 %). This innovative approach holds promise for rapid and accurate COD detection, presenting a valuable contribution to environmental monitoring and water quality assessment.
Role of derivatives market in attenuating underreaction to left‐tail risk
Authors: Saurav Sumit , Agarwalla Sobhesh Kumar , Varma Jayanth R. 
Published: December 2023

AbstractThe anomalous negative relationship between left‐tail risk measures and future returns has recently attracted the attention of finance researchers. We examine the role of the derivatives market in attenuating left‐tail risk anomaly in India, where derivatives trade only for a subset of stocks. We find that the negative association between left‐tail risk measure and future return is absent only in stocks having derivatives, indicating that derivatives trading hastens the diffusion of negative information into the stock prices. We find evidence that the information generation role of derivatives markets plays a primary role compared to investor inattention and limits to arbitrage.
Single and multi‐fractal dimension variation of tight sandstone by using centrifuge T2 spectral curve
Authors: Feng Shuailong , Li Mingyang , Zhang Junjian , Xu Guangwei , Vandeginste Veerle , Zhang Pengfei , Ju Wei 
Published: December 2023

AbstractPore‐fracture structure distribution heterogeneity (PFSH) affects dynamic variation of porosity‐permeability of tight sandstone reservoirs, then restricting gas production performance. A fractal model by low‐field nuclear magnetic resonance technology (LF‐NMR) has been used in the quantitative characterization of PFSH. Among some literature, PFSH was studied by using a saturated T2 spectrum. However, there are few studies on fractal characteristics of T2 spectral morphology in a centrifugal state and its influence on porosity‐permeability parameters. In this paper, 30 tight sandstone samples were collected from Taiyuan Formation in Qinshui Basin. Then LF‐NMR technology was used to analyze PFSH, and sample types were divided by using T2 spectra difference under saturated and centrifugal conditions. Meanwhile, single (model 1 and 2) and multi‐fractal model are adopted to calculate fractal parameters of saturated and centrifugal T2 spectra, and then a difference in fractal parameters under different water conditions was compared. Correlation between different fractal parameters, pore structure and T2 cut‐off value are studied, and a mathematical prediction model for T2 cut‐off value by using fractal and pore structure parameters are established. The results are as follows. (1) All the samples are divided into four types A/B/C/D. For example, the type A sample is characterized by a single peak of T2 spectrum and T2 value is less than 10 ms, which indicates that this type belongs a smaller‐pore developed. Type B sample is characterized by a single peak of T2 spectrum and T2 value is10–100 ms, which indicates that this type belongs to mesopore developed. (2) In saturated state (DS), PFSH of type A sample by using model 1 and 2 is stronger than that of type B, followed by type C and D. Then the multifractal model shows that PFSH of type B sample is stronger than that of other sample types. Correlation between fractal dimension calculated by using single fractal and pore structure parameters is stronger than that of multifractal dimension. (3) T2 spectrum in centrifugal state has fractal characteristics (Di), and there are certain correlation Di with Ds. Therefore, a mathematical prediction model for T2 cut‐off value by using fractal and pore structure parameters is established. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.
Effects of healthy aging and mnemonic strategies on verbal memory performance across the adult lifespan: Mediating role of posterior hippocampus
Authors: Hoang Kim Ngan , Huang Yushan , Fujiwara Esther , Malykhin Nikolai 
Published: December 2023

AbstractIn this study, we aimed to understand the contributions of hippocampal anteroposterior subregions (head, body, tail) and subfields (cornu ammonis 1‐3 [CA1‐3], dentate gyrus [DG], and subiculum [Sub]) and encoding strategies to the age‐related verbal memory decline. Healthy participants were administered the California Verbal Learning Test‐II to evaluate verbal memory performance and encoding strategies and underwent 4.7 T magnetic resonance imaging brain scan with subsequent hippocampal subregions and subfields manual segmentation. While total hippocampal volume was not associated with verbal memory performance, we found the volumes of the posterior hippocampus (body) and Sub showed significant effects on verbal memory performance. Additionally, the age‐related volume decline in hippocampal body volume contributed to lower use of semantic clustering, resulting in lower verbal memory performance. The effect of Sub on verbal memory was statistically independent of encoding strategies. While total CA1‐3 and DG volumes did not show direct or indirect effects on verbal memory, exploratory analyses with DG and CA1‐3 volumes within the hippocampal body subregion suggested an indirect effect of age‐related volumetric reduction on verbal memory performance through semantic clustering. As semantic clustering is sensitive to age‐related hippocampal volumetric decline but not to the direct effect of age, further investigation of mechanisms supporting semantic clustering can have implications for early detection of cognitive impairments and decline.
Nano‐silicon fertiliser increases the yield and quality of cherry radish
Authors: Xu Xinxin , Guo Yaozu , Hao Yi , Cai Zeyu , Cao Yini , Fang Wanzhen , Zhao Bangyin , Haynes Christy L. , White Jason C. , Ma Chuanxin 
Published: December 2023

AbstractAlthough silicon‐based nanomaterials (Si‐based NMs) can promote crop yield and alleviate biotic and abiotic stress, the underlying performance mechanisms are unknown. In the present study, the effect of the root application of Si‐based NMs on the physiological responses of cherry radish (Raphanus sativus L.) was evaluated in a life cycle experiment. Root exposure to 0.1% (w/w) Si‐based NMs significantly increased total fresh weight, total chlorophyll and carotenoids by 36.0%, 14.2% and 18.7%, respectively, relative to untreated controls. The nutritional content of the edible tissue was significantly enhanced, with an increase of 23.7% in reducing sugar, 24.8% in total sugar, and 232.7% in proteins; in addition, a number of nutritional elements (Cu, Mn, Fe, Zn, K, Ca, and P) were increased. Si‐based NMs exposure positively altered the phytohormone network and decreased abscisic acid content, both of which promoted radish fresh weight. LC‐MS‐based metabolomic analysis shows that Si‐based NMs increased the contents of most carbohydrates (e.g., α‐D‐glucose, acetylgalactosamine, lactose, fructose, etc.) and amino acids (e.g., asparagine, glutamic acid, glutamine, valine, arginine, etc.), subsequently improving overall nutritional values. Overall, nanoscale Si‐based agrochemicals have significant potential as a novel strategy for the biofortification of vegetable crops in sustainable nano‐enabled agriculture.
The association of multiple sclerosis, traumatic brain injury, and spinal cord injury to acute and long COVID‐19 outcomes
Authors: Abramoff Benjamin A. , Hentschel Claudia , Dillingham Ingram A. , Dillingham Timothy , Baraniecki‐Zwil Gwen , Williams Asha , Pezzin Liliana E. 
Published: December 2023

AbstractBackgroundAlthough persons with disabilities are a high‐risk group, little is known about the association between specific disabling conditions and acute or long COVID outcomes.ObjectiveTo examine the severity of acute SARS‐CoV‐2 infection and post‐COVID outcomes among people with a preexisting diagnosis of multiple sclerosis (MS), spinal cord injury (SCI), or traumatic brain injury (TBI).MethodsThis was a retrospective cohort study using the TrinetX Research Database, a large representative database of medical records. COVID‐19‐positive persons with MS, SCI, or TBI (cases) were matched 1:1 on age, gender, race, ethnicity, and comorbidities to COVID‐19‐positive persons without these diagnoses (controls). The main outcomes assessed were hospitalization for acute COVID‐19, length of stay (LOS), the total number of hospitalizations, mortality, and incidence of six prevalent post‐COVID sequelae within 6 months following a COVID‐19 diagnosis.ResultsThere were 388,297 laboratory‐confirmed COVID‐19 cases identified. Of these cases, 2204 individuals had one of the following preexisting diagnoses: 51.3% TBI, 31.4% MS, and 17.3% SCI. People with TBI, MS, and SCI were significantly more likely to be hospitalized for COVID‐19 (odds ratio [OR] = 1.22, 95% confidence interval [CI] = 1.03–1.46) than matched controls. There was no difference in LOS, total hospitalizations, or mortality during the 6 months following the initial COVID diagnosis. Multivariable analyses reveal that persons with TBI, MS, and SCI were more likely to experience new weakness (OR = 1.54, 95% CI = 1.19–2.00), mobility difficulties (OR = 1.66, 95% CI = 1.17–2.35), and cognitive dysfunction (OR = 1.79, 95% CI = 1.38–2.33) than controls, even after controlling for the presence of these symptoms prior to their COVID infection and other risk factors. There were no differences in fatigue, pain, or dyspnea.ConclusionsHaving a history of MS, SCI or TBI was not associated with higher mortality risk from COVID‐19. However, associations between these diagnoses and postacute COVID‐19 symptoms raise concern about widening health outcome disparities for individuals with such potentially disabling conditions following COVID‐19 infection.
Arc Discharge Synthesis of Chitosan‐Mediated Copper Nanoparticles for Heterogeneous Catalysis in 4‐Nitrophenol Degradation
Authors: Ahmad Noor Azfarena , Hajibeigy Mohammad Taghi , Poor Mohsen Nabi , Kartouzian Aras , Moeini Hassan , Shameli Kamyar 
Published: December 2023

AbstractCopper nanoparticles (Cu‐NPs) have garnered substantial interest in the field of nanotechnology due to their exceptional physical and chemical properties and cost‐effectiveness. However, challenges such as particle aggregation and rapid copper oxidation affect nanoscale production. This study systematically investigates the synthesis of colloidal Cu‐NPs using chitosan (Cts) as a stabilizer and reducing agent in the arc discharge system, comparing it to distilled water as a medium. Confirmation of the purity, size, and morphology of the Cu‐NPs is achieved through various physicochemical characterization methods. X‐ray diffraction patterns confirm the synthesis of highly pure face‐centered cubic (fcc) crystal Cu‐NPs. UV–vis analysis reveals absorption peaks at 572–585 nm, indicating pure copper. Fourier‐transform infrared spectroscopy shows peaks at 638 and 597 cm−1, corresponding to Cu─Cts bonds. Transmission electron microscopy images depict spherical nanoparticles ranging from 15 to 45 nm, with smaller sizes at higher Cts concentrations. The catalytic activity of Cu‐NPs in the degradation of 4‐nitrophenol to 4‐aminophenol is assessed, with Cu‐NPs synthesized in distilled water demonstrating superior catalytic properties compared to 0.10 wt.% Cts. This study highlights the efficacy of the arc discharge method in producing pure, uniformly sized Cu‐NPs with potential applications in catalysis.
Molecular mechanism of Fe3+ binding inhibition to Vibrio metschnikovii ferric ion‐binding protein, FbpA, by rosmarinic acid and its hydrolysate, danshensu
Authors: Lu Peng , Jiang Jinyan , Liu Chang , Okuda Suguru , Itoh Hideaki , Okamoto Ken , Suzuki Michio , Nagata Koji 
Published: December 2023

AbstractGlobal warming has increased the growth of pathogenic Vibrio bacteria, which can cause foodborne illnesses and death. Vibrio bacteria require iron for growth and survival. They utilize a ferric ion‐binding protein (FbpA) to bind and transport Fe3+ into the cell. FbpA from Vibrio metschnikovii (Vm) is a potential target for inhibiting its growth. Rosmarinic acid (RA) can block the binding of VmFbpA to Fe3+; however, the molecular mechanism of Fe3+ binding and RA inhibition to VmFbpA is unclear. In this study, we used x‐ray crystallography to determine the Fe3+‐binding mode of VmFbpA and the mechanism of RA inhibition. The structures revealed that in the Fe3+ bound form, Fe3+ was coordinated to VmFbpA by two Tyr residues, two HCO3− ions, and two water molecules in a six‐coordinated geometry. In contrast, in the inhibitor bound form, RA was initially bound to VmFbpA following gel filtration purification, but it was hydrolyzed to danshensu (DSS), which occupied the binding site as shown in an electron density map and reverse phase chromatography (RPC) analysis. Both RA and DSS exhibited a stronger binding affinity to VmFbpA, higher Fe3+ reduction capacity, and more potent bacteriostatic effect on V. metschnikovii compared with caffeic acid (CA), another hydrolysis product of RA. These results provide insight into the mechanism of iron acquisition by V. metschnikovii and inhibition by RA and DSS. Our findings offer clues on the development of effective strategies to prevent Vibrio infections.
Probing effects of site‐specific aspartic acid isomerization on structure and stability of GB1 through chemical protein synthesis
Authors: Heath Shelby L. , Guseman Alex J. , Gronenborn Angela M. , Horne W. Seth 
Published: December 2023

AbstractChemical modifications of long‐lived proteins, such as isomerization and epimerization, have been evoked as prime triggers for protein‐damage related diseases. Deamidation of Asn residues, which results in formation of a mixture of l‐ and d‐Asp and isoAsp via an intermediate aspartyl succinimide, can result in the disruption of cellular proteostasis and toxic protein depositions. In contrast to extensive data on the biological prevalence and functional implications of aspartyl succinimide formation, much less is known about the impact of the resulting altered backbone composition on properties of individual proteins at a molecular level. Here, we report the total chemical synthesis, biophysical characterization, and NMR structural analysis of a series of variants of the B1 domain of protein G from Streptococcal bacteria (GB1) in which all possible Asp isomers as well as an aspartyl succinimide were individually incorporated at a defined position in a solvent‐exposed loop. Subtle local structural effects were observed; however, these were accompanied by notable differences in thermodynamic folded stability. Surprisingly, the noncanonical backbone connectivity of d‐isoAsp led to a variant that exhibited enhanced stability relative to the natural protein.
Structural determination and kinetic analysis of the transketolase from Vibrio vulnificus reveal unexpected cooperative behavior
Authors: Georges Rainier‐Numa , Ballut Lionel , Octobre Guillaume , Comte Arnaud , Hecquet Laurence , Charmantray Franck , Doumèche Bastien 
Published: December 2023

AbstractVibrio vulnificus (vv) is a multidrug‐resistant human bacterial pathogen whose prevalence is expected to increase over the years. Transketolases (TK), transferases catalyzing two reactions of the nonoxidative branch of the pentose‐phosphate pathway and therefore linked to several crucial metabolic pathways, are potential targets for new drugs against this pathogen. Here, the vvTK is crystallized and its structure is solved at 2.1 Å. A crown of 6 histidyl residues is observed in the active site and expected to participate in the thiamine pyrophosphate (cofactor) activation. Docking of fructose‐6‐phosphate and ferricyanide used in the activity assay, suggests that both substrates can bind vvTK simultaneously. This is confirmed by steady‐state kinetics showing a sequential mechanism, on the contrary to the natural transferase reaction which follows a substituted mechanism. Inhibition by the I38‐49 inhibitor (2‐(4‐ethoxyphenyl)‐1‐(pyrimidin‐2‐yl)‐1H‐pyrrolo[2,3‐b]pyridine) reveals for the first time a cooperative behavior of a TK and docking experiments suggest a previously undescribed binding site at the interface between the pyrophosphate and pyridinium domains.
Highly Responsive Switchable Broadband DUV‐NIR Photodetector and Tunable Emitter Enabled by Uniform and Vertically Grown III–V Nanowire on Silicon Substrate for Integrated Photonics
Authors: Yu Huabin , Wang Rui , Memon Muhammad Hunain , Luo Yuanmin , Xiao Shudan , Fu Lan , Sun Haiding 
Published: December 2023

AbstractLow‐dimensional semiconductor nanostructures, particularly in the form of nanowire configurations with large surface‐to‐volume‐ratio, offer intriguing optoelectronic properties for the advancement of integrated photonic technologies. Here, a bias‐controlled, superior dual‐functional broadband light detecting/emitting diode enabled by constructing the aluminum‐gallium‐nitride‐based nanowire on the silicon‐platform is reported. Strikingly, the diode exhibits a stable and high responsivity (R) of over 200 mAW−1 covering an extremely wide operation band under reverse bias conditions, ranging from deep ultraviolet (DUV: 254 nm) to near‐infrared (NIR: 1000 nm) spectrum region. While at zero bias, it still possesses superior DUV light selectivity with a high off‐rejection ratio of 106. When it comes to the operation of the light‐emitting mode under forward bias, it can achieve large spectral changes from UV to red simply by coating colloid quantum dots on the nanowires. Based on the multifunctional features of the diodes, this study further employs them in various optoelectronic systems, demonstrating outstanding applications in multicolor imaging, filterless color discrimination, and DUV/NIR visualization. Such highly responsive broadband photodetector with a tunable emitter enabled by III–V nanowire on silicon provides a new avenue toward the realization of integrated photonics and holds great promise for future applications in communication, sensing, imaging, and visualization.
Dynamic Gold Nanostructures Based on DNA Self Assembly
Authors: Kou Bo , Wang Zhichao , Mousavi Shikufa , Wang Pengfei , Ke Yonggang 
Published: December 2023

AbstractThe combination of DNA nanotechnology and Nano Gold (NG) plasmon has opened exciting possibilities for a new generation of functional plasmonic systems that exhibit tailored optical properties and find utility in various applications. In this review, the booming development of dynamic gold nanostructures are summarized, which are formed by DNA self‐assembly using DNA‐modified NG, DNA frameworks, and various driving forces. The utilization of bottom‐up strategies enables precise control over the assembly of reversible and dynamic aggregations, nano‐switcher structures, and robotic nanomachines capable of undergoing on‐demand, reversible structural changes that profoundly impact their properties. Benefiting from the vast design possibilities, complete addressability, and sub‐10 nm resolution, DNA duplexes, tiles, single‐stranded tiles and origami structures serve as excellent platforms for constructing diverse 3D reconfigurable plasmonic nanostructures with tailored optical properties. Leveraging the responsive nature of DNA interactions, the fabrication of dynamic assemblies of NG becomes readily achievable, and environmental stimulation can be harnessed as a driving force for the nanomotors. It is envisioned that intelligent DNA‐assembled NG nanodevices will assume increasingly important roles in the realms of biological, biomedical, and nanomechanical studies, opening a new avenue toward exploration and innovation.
Being an appreciative educator in today's world: Unknowingly and knowingly using appreciative frameworks in higher education
Authors: Gano Brian C. , Oxendine Symphony D. 
Published: December 2023

AbstractThe authors share their stories on how they moved from unknowingly using appreciative frameworks in their life and work in higher education to knowingly applying it as appreciative educators. They share a co‐created definition of being an appreciative educator and how appreciative inquiry can be used today in higher education.