bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hexanuclear Ln6L6 Complex Formation by Using an Unsymmetric Ligand
Authors: Bell Daniel J. , Zhang Tongtong , Geue Niklas , Rogers Ciarán J. , Barran Perdita E. , Bowen Alice M. , Natrajan Louise S. , Riddell Imogen A. 
Published: September 2023

AbstractMultinuclear, self‐assembled lanthanide complexes present clear opportunities as sensors and imaging agents. Despite the widely acknowledged potential of this class of supramolecule, synthetic and characterization challenges continue to limit systematic studies into their self‐assembly restricting the number and variety of lanthanide architectures reported relative to their transition metal counterparts. Here we present the first study evaluating the effect of ligand backbone symmetry on multinuclear lanthanide complex self‐assembly. Replacement of a symmetric ethylene linker with an unsymmetric amide at the center of a homoditopic ligand governs formation of an unusual Ln6L6 complex with coordinatively unsaturated metal centers. The choice of triflate as a counterion, and the effect of ionic radii are shown to be critical for formation of the Ln6L6 complex. The atypical Ln6L6 architecture is characterized using a combination of mass spectrometry, luminescence, DOSY NMR and EPR spectroscopy measurements. Luminescence experiments support clear differences between comparable Eu6L6 and Eu2L3 complexes, with relatively short luminescent lifetimes and low quantum yields observed for the Eu6L6 structure indicative of non‐radiative decay processes. Synthesis of the Gd6L6 analogue allows three distinct Gd⋯Gd distance measurements to be extracted using homo‐RIDME EPR experiments.
Construction of Diversified Penta‐Spiro‐Heterocyclic and Fused‐Heterocyclic Frameworks with Potent Antitumor Activity
Authors: Liu Qi , Liu Xuyi , Li Yazhou , Zhou Yu , Zhao Linxiang , Liang Xuewu , Liu Hong 
Published: September 2023

AbstractInvited for the cover of this issue are Xuewu Liang, Hong Liu and co‐workers at the Shanghai Institute of Materia Medica and Shenyang Pharmaceutical University. The image depicts how a rhodium‐catalyzed methodology leads to novel penta‐spiro/fused‐heterocyclic frameworks with potent antitumor activity through C−H activation/[4+1] and [4+2] annulation cascades. Read the full text of the article at 10.1002/chem. 202301553.
Harnessing the Peterson Reaction for the Stereospecific Synthesis of Z‐Vinyl Ethers
Authors: Tromans Jay , Zhang Bian , Golding Bernard T. 
Published: September 2023

AbstractVinyl ethers are valuable synthetic intermediates which are also found as natural products, including aflatoxins, rifamycins and plasmalogens. The latter are ubiquitous phospholipids in human cells and contain a vinyl ether moiety with specifically Z configuration. Although numerous methods are available for synthesis of vinyl ethers, there is a lack of methods for obtaining Z isomers of molecules of the type RCH=CHOR’ that are applicable to plasmalogens. A variant of the Peterson reaction is described that generates such molecules with very high stereoselectivity (Z/E ratio: 99 : 1). (R,R)/(S,S)‐1‐alkoxy‐2‐hydroxyalkylsilanes were synthesized from 1‐trimethylsilylalkynes by a sequence of reduction with di‐isobutylaluminium hydride to a (Z)‐1‐trimethylsilylalkene, epoxidation of the alkene to a 2‐trimethylsilyl‐3‐substituted epoxide and regioselective, boron‐trifluoride catalyzed ring‐opening of the epoxide by reaction with an alcohol. Conversion of the (R,R)/(S,S)‐1‐alkoxy‐2‐hydroxyalkylsilanes to vinyl ethers (RCH=CHOR’) was achieved under basic conditions as in a standard Peterson reaction. However, near exclusive formation of a Z vinyl ether was only achieved when the reaction was performed using potassium hydride in the non‐polar solvent α,α,α‐trifluorotoluene, more polar solvents giving increasing amounts of the E isomer. The sequence described embraces a variety of substituents and precursors, proceeds in overall high yield and is readily scalable.
Targeting EPHA2 with Kinase Inhibitors in Colorectal Cancer
Authors: Tröster Alix , Jores Nathalie , Mineev Konstantin S. , Sreeramulu Sridhar , DiPrima Michael , Tosato Giovanna , Schwalbe Harald 
Published: September 2023

AbstractThe ephrin type‐A 2 receptor tyrosine kinase (EPHA2) is involved in the development and progression of various cancer types, including colorectal cancer (CRC). There is also evidence that EPHA2 plays a key role in the development of resistance to the endothelial growth factor receptor (EGFR) monoclonal antibody Cetuximab used clinically in CRC. Despite the promising pharmacological potential of EPHA2, only a handful of specific inhibitors are currently available. In this concept paper, general strategies for EPHA2 inhibition with molecules of low molecular weight (small molecules) are described. Furthermore, available examples of inhibiting EPHA2 in CRC using small molecules are summarized, highlighting the potential of this approach.
Mesoporous Silica (MCM‐41) Containing Dispersed Palladium Nanoparticles as Catalyst for Dehydrogenation, Methanolysis, and Reduction Reactions
Authors: Ul Huda Noor , Ul‐Hamid Anwar , Khan Muhammad Abdullah , Shahida Shabnam , Zaheer Muhammad 
Published: September 2023

AbstractGenerating highly dispersed metal NPs of the desired size on surfaces such as porous silica is challenging due to wettability issues. Here, we report highly active and well‐dispersed Pd incorporated mesoporous MCM‐41 (Pd@MCM) using a facile impregnation via a molecular approach based on hydrogen bonding interaction of a palladium β‐diketone complex with surface silanol groups of mesoporous silica. Controlled thermal treatment of so obtained materials in air, argon, and hydrogen provided the catalysts characterized by electron microscopy, nitrogen physisorption, X‐ray diffraction and spectroscopy. Gratifyingly, our catalyst provided the lowest ever activation energy (14.3 kJ/mol) reported in literature for dehydrogenation of NaBH4. Moreover, the rate constant (7×10−3 s−1) for the reduction of 4‐nitrophenol outperformed the activity of commercial Pd/C (4×10−3 s−1) and Pd/Al2O3 (5×10−3 s−1) catalysts.
The relationship between green supply chain and green innovation based on the push of green strategic alliances
Authors: Bai Xuesong , Coelho Arnaldo , Lopes Cancela Beatriz 
Published: September 2023

AbstractThis article aims to examine the influence of green strategic alliances (GSA) on both green radical and incremental innovation through the effects of green supply chain integration (GSCI). A theoretical model was proposed and evaluated using structural equation modeling. A 37‐item questionnaire was created to assess the proposed relationships, and a total of 303 valid responses were obtained from a sample of industrial and service companies in China. The findings indicate that GSA have a positive impact on GSCI, and thus, on both green radical and green incremental innovation. This study also explores the role of strategic alliances in corporate green innovation, and how members of alliances can benefit from superior green innovation through shared value creation. The authors innovatively adopt the frameworks of value creation and stakeholder theory to explain how supply chain (knowledge, technology, and processes) can aid firms in achieving green radical and incremental innovation.
Sustainable development in brand loyalty: Exploring the dynamics of corporate social responsibility, customer attitudes, and emotional contagion
Authors: Yuan Jingbo , Shahzad Muhammad Faisal , Waheed Abdul , Wang Wenyue 
Published: September 2023

AbstractCorporate social responsibility (CSR) significantly bolsters brand loyalty by demonstrating a company's commitment to societal and environmental well‐being. This article investigates the link between brand loyalty based on consumer perception and CSR. The study looks at the effects of unfavorable perceptions of CSR initiatives and how emotional contagion affects brand loyalty. The results emphasize the importance of CSR and how it influences consumer attitudes toward brands. To this end, this study particularly targeted young consumers for adopting a sample of this study. The findings reveal that brand disloyalty can be caused by negative attitudes toward a company's CSR initiatives, and brand perception can amplify this effect. The study emphasizes how crucial it for businesses is to demonstrate dedication to sustainability and environmental stewardship to sustainable environmentally conscious clients. However, the geographical sampling size and sampling methods are the research's limitations, which should be considered by the researchers in the future for additional validation and contribution.
Optimizing power system stability: An artificial neural network approach for controlling variable frequency transformer
Authors: Sheikh Aabid Hussain , Bakhsh Farhad Ilahi 
Published: September 2023

SummaryModern power systems face challenges with stability, especially due to interconnections through weak tie‐lines, which can lead to power oscillations. These oscillations occur when the rotor fails to provide sufficient damping force to balance electrical output and mechanical input. Without a reliable damping system, these oscillations can persist, posing a threat to power system stability. In this article, a novel solution is proposed to curb low‐frequency oscillations by implementing a new power transmission technology called variable frequency transformer (VFT) in a two‐area power system. The VFT is equipped with an industrially applied proportional integral derivative controller trained by an artificial neural network to regulate power flow between the two areas. Additionally, a power oscillation damping controller is introduced that utilizes intelligent tuning through salp swarm optimization to enhance the damping capabilities of the VFT. The intelligent tuning of the power oscillation damping controller using salp swarm optimization enhances the damping capabilities of the VFT, resulting in a 25% increase in the damping ratio. To evaluate the performance of the VFT‐based system, it has been compared with a well‐established high voltage direct current (HVDC) system through a three‐phase fault analysis and reactive power requirement. Quantitatively, the proposed VFT system achieves a significant improvement in damping power oscillations, reducing their amplitudes by 30% compared to the HVDC system. Furthermore, the system is linearized under specific operating conditions, and eigenvalue analysis is conducted to assess power system stability for both VFT and HVDC cases. Through time‐domain simulations and eigenvalue analysis, our findings demonstrate that the VFT system surpasses the HVDC system in various operational and control aspects, highlighting its positive impact on power system stability.
Sharing space between native and invasive small mammals: Study of commensal communities in Senegal
Authors: Granjon Laurent , Artige Emanuelle , Bâ Khalilou , Brouat Carine , Dalecky Ambroise , Diagne Christophe , Diallo Mamoudou , Fossati‐Gaschignard Odile , Gauthier Philippe , Kane Mamadou , Husse Laëtitia , Niang Youssoupha , Piry Sylvain , Sarr Nathalie , Sow Aliou , Duplantier Jean‐Marc 
Published: September 2023

AbstractUrbanization processes are taking place at a very high rate, especially in Africa. At the same time, a number of small mammal species, be they native or invasive, take advantage of human‐induced habitat modifications. They represent commensal communities of organisms that cause a number of inconveniences to humans, including potential reservoirs of zoonotic diseases. We studied via live trapping and habitat characterization such commensal small mammal communities in small villages to large cities of Senegal, to try to understand how the species share this particular space. Seven major species were recorded, with exotic invasive house mice (Mus musculus) and black rats (Rattus rattus) dominating in numbers. The shrew Crocidura olivieri appeared as the main and more widespread native species, while native rodent species (Mastomys natalensis, M. erythroleucus, Arvicanthis niloticus and Praomys daltoni) were less abundant and/or more localized. Habitat preferences, compared between species in terms of room types and characteristics, showed differences among house mice, black rats and M. natalensis especially. Niche (habitat component) breadth and overlap were measured. Among invasive species, the house mouse showed a larger niche breadth than the black rat, and overall, all species displayed high overlap values. Co‐occurrence patterns were studied at the global and local scales. The latter show cases of aggregation (between the black rat and native species, for instance) and of segregation (as between the house mouse and the black rat in Tambacounda, or between the black rat and M. natalensis in Kédougou). While updating information on commensal small mammal distribution in Senegal, a country submitted to a dynamic process of invasion by the black rat and the house mouse, we bring original information on how species occupy and share the commensal space, and make predictions on the evolution of these communities in a period of ever‐accelerating global changes.
Nervous system‐related tropism of SARS‐CoV‐2 and autoimmunity in COVID‐19 infection
Authors: Weissert Robert 
Published: September 2023

AbstractThe effects of SARS‐CoV‐2 in COVID‐19 on the nervous system are incompletely understood. SARS‐CoV‐2 can infect endothelial cells, neurons, astrocytes, and oligodendrocytes with consequences for the host. There are indications that infection of these CNS‐resident cells may result in long‐term effects, including emergence of neurodegenerative diseases. Indirect effects of infection with SARS‐CoV‐2 relate to the induction of autoimmune disease involving molecular mimicry or/and bystander activation of T‐ and B cells and emergence of autoantibodies against various self‐antigens. Data obtained in preclinical models of coronavirus‐induced disease gives important clues for the understanding of nervous system‐related assault of SARS‐CoV‐2. The pathophysiology of long‐COVID syndrome and post‐COVID syndrome in which autoimmunity and immune dysregulation might be the driving forces are still incompletely understood. A better understanding of nervous‐system‐related immunity in COVID‐19 might support the development of therapeutic approaches. In this review, the current understanding of SARS‐CoV‐2 tropism for the nervous system, the associated immune responses, and diseases are summarized. The data indicates that there is viral tropism of SARS‐CoV‐2 in the nervous system resulting in various disease conditions. Prevention of SARS‐CoV‐2 infection by means of vaccination is currently the best strategy for the prevention of subsequent tissue damage involving the nervous system.
Gamma‐sterilized cow‐dung for confiscation of triphenylmethane dyes from water bodies
Authors: Vithalkar Sarika , Jugade Ravin , Bambal Apurva , Pakade Yogesh , Pandey Sadanand 
Published: September 2023

AbstractThe purpose of this work was to adsorb the triphenylmethane dyes crystal violet (CV), brilliant green (BG), and malachite green (MG) from an aqueous solution using cowdung (CD) that has been gamma‐sterilized. FTIR, SEM, EDX, and TGA‐DTA advanced techniques were used to characterize CD. The material had a pHPZC of 6, and it was shown that the maximal monolayer adsorption capacities for CV (at pH 4.83), BG (at pH 4.53), and MG (at pH 3.75) were, respectively, 179.39, 172.28, and 111.62 mg g−1. The equilibrium results were completely described by the pseudo‐second order model and Langmuir isotherm. Using the van't Hoff and Arrhenius equations, thermodynamic parameters like ΔG, ΔS, and ΔH were computed. The exothermic nature of the process change is indicated by the fact that the adsorption of CV and BG increased with lowering temperature whereas the adsorption of MG increased with increasing temperature, as the process was endothermic. Curiously, the values of the adsorption capacity acquired using the column adsorption approach is very similar to those obtained using batch adsorption trials illustrating the CD's capacity for dyes adsorption.
Macrolevel factors encouraging bureaucratic policy entrepreneurship: The case of religion and state in Israel
Authors: Golan‐Nadir Niva 
Published: September 2023

AbstractHow do external macrolevel factors encourage bureaucrats to become policy entrepreneurs? And what are their organizational goals in pursuing entrepreneurship? Contrary to traditional public choice literature on bureaucracy that sees the latter as change‐resistant, this study stresses that bureaucracies can and do change; they are not as insulated from reformist pressure. In this study, we lay the conditions under which change occurs, making bureaucrats—policy entrepreneurs. We argue that: (1) bureaucratic inefficiency, leading to (2) societal pressure as expressed by public opinion, and consequently to (3) pressure from potential new providers offering bottom‐up competition, will encourage bureaucrats to turn to policy entrepreneurship strategies. In addition, we assert that their goals in doing so are to modify and design efficient services, while protecting their monopoly on service provision. We test these claims by analyzing the state‐religion dynamics in Israel, and specifically the case of the 2021 kosher food inspection reform.
GCNInformer: A combined deep learning model based on GCN and Informer for wind power forecasting
Authors: Wang Hai‐Kun , Li Danyang , Chen Feng , Du Jiahui , Song Ke 
Published: September 2023

AbstractWind power energy is green, clean, and renewable, which is random and volatile. The integration of unstable wind energy severely threatens the security and constant operation of the power system. The need to enhance the reliability of wind power grid integration, mitigate the impact of wind power uncertainty, and develop a robust prediction model has become a pressing issue. However, only some people have considered the correlations among the power of multiple adjacent wind turbine arrays. In this paper, we propose GCNInformer to construct these relationships. Furthermore, we analyze the relationships among multiple features of individual wind turbines. GCNInformer is composed of two main components. The first component employs a graph convolutional network (GCN) to establish relationships among multiple wind turbine arrays, enhancing the correlation of the data. The second part employs Informer to extract the time information from the data and predict long‐term sequences. For training and testing, GCNInformer utilizes two data sets: Data_CQ and Data_DL. The evaluation of the model's performance is conducted using various metrics such as mean absolute percentage error, mean absolute error, root mean square error, and mean square error. Numerous experimental findings have validated the effectiveness of the GCNInformer.
Numerical investigation of the in situ gas explosion fracturing and the enhancement of the penetration in coal seam boreholes
Authors: Qiao Yonggang , Zhang Zeyu , Yuan Danping , Li Lianghong , Zhao Jindian 
Published: September 2023

AbstractPermeability enhancement of low permeability coal seams is a key tool in coal mine gas extraction and utilization. Numerical investigations are used to analyze the geometric parameters of the drilled gas cavity and the effect of initial pressure on explosion parameters to explore the potential of original gas blasting in enhancing crack penetration in coal seams. On the basis of these analyses, the changes in characteristic parameters of the coal body under blasting pressure are examined. The results show that the maximum explosion pressure tends to be close to the theoretical explosion maximum when the L/Φ is 1.67–2.5, and the mechanical effect of the explosion pressure and surge velocity on the wall reaches the optimum in the experimental group when the L/Φ is 1.67. The initial pressure and the maximum explosion pressure demonstrate a linear positive correlation, and increasing the former can effectively enhance the force applied to the hole wall. During the gas explosion pressurization stage, the cracking range of coal under pressure is 0.05 m, but the duration of peak pressure can extend the range of cracking. The combined effect of the stress and pressure fields causes elastic energy storage in the coal body to fail in the radial region of the hole wall, but regains elastic energy storage as the pressure increases. The effect of fracturing on the radial coal seam permeability of the borehole wall before and after the fracturing effect is expanded by 19.6 times, proving that in situ gas explosion in boreholes can effectively improve the gas seepage characteristics of coal seams and increase the gas recovery rate. The simulations indicate that the application of in situ gas explosion fracturing and permeation technology is limited by the increase in maximum explosion pressure and the cumulative effect time of the peak pressure. This provides a theoretical basis for understanding the constraints of gas explosion fracturing and permeation technology.
Exploring electrochemical impedance spectroscopy to identify and quantify degradation in commercial solid oxide electrolysis stacks
Authors: Drasbæk Daniel B. , Blennow Peter , Heiredal‐Clausen Thomas , Rass‐Hansen Jeppe , Perin Giovanni , Høgh Jens V. T. , Hauch Anne 
Published: September 2023

AbstractIn this work, we present a case where electrochemical impedance spectroscopy (EIS) on stack level enabled the identification of degradation and failure mechanisms in a 75‐cell solid oxide electrolysis cell (SOEC) stack from Topsoe. In a blind test, a defective stack (stack not passing the quality control specifications) prone to degradation was investigated with EIS. The type of stack defects was not known a priori. The purpose of the stack EIS experiment was hence to serve as a proof‐of‐concept of using EIS on the stack level for identifying degradation mechanisms. An appropriate equivalent circuit model was applied and fitted to the experimentally obtained EIS data, which enabled the quantification of the different electrochemical contributions. We hereby identified which electrochemical contribution(s) to the overall stack resistance caused the stack to degrade. Furthermore, the data was plotted in a degradation space format, which further strengthened the identification of the cause of degradation. In this work, we are exploring and utilizing the potential of advanced EIS characterization and analysis; thereby successfully identifying some of the degradation and failure mechanisms taking place in the SOEC stack. This detailed type of degradation analysis has, to the best of my knowledge, not previously reported on the commercial stack level.
Effects of lithium on serum Brain‐Derived Neurotrophic Factor in Alzheimer’s patients with agitation
Authors: Deliyannides Deborah A. , Graff Jamie A. , Niño Izael , Lee Seonjoo , Husain Mustafa M. , Forester Brent P. , Crocco Elizabeth , Vahia Ipsit V. , Devanand Davangere P. 
Published: September 2023

AbstractBackgroundThere is ample evidence in animal models that lithium increases Brain‐Derived Neurotrophic Factor (BDNF) with supporting evidence in human studies. Little is known, however, about the effects of lithium on BDNF in Alzheimer's Dementia (AD). In one study of patients with Mild Cognitive Impairment, serum BDNF increased after treatment with lithium. These patients also showed mild improvement in cognitive function.ObjectivesTo evaluate low‐dose lithium treatment of agitation in Alzheimer's disease (AD).MethodWe measured levels of BDNF in patients treated with lithium prior to and after a 12‐week randomized placebo‐controlled trial.ResultsBDNF levels did not change significantly and were not associated with improvement in overall neuropsychiatric symptoms or in cognitive function.ConclusionsMore research is needed to understand the potential effects of lithium on BDNF in AD including whether its use might be dependent on the stage of cognitive decline and dementia.