Fast Changes Research Articles

Distinct and rich assemblages of giant viruses in Arctic and Antarctic lakes.

Giant viruses (GVs) are key players in ecosystem functioning, biogeochemistry, and eukaryotic genome evolution. GV diversity and abundance in aquatic systems can exceed that of prokaryotes, but their diversity and ecology in lakes, especially polar ones, remain poorly understood. We conducted a comprehensive survey and meta-analysis of GV diversity across 20 lakes, spanning polar to temperate regions, combining our extensive lake metagenome database from the Canadian Arctic and subarctic with publicly available datasets. Leveraging a novel GV genome identification tool, we identified 3304 GV metagenome-assembled genomes, revealing lakes as untapped GV reservoirs. Phylogenomic analysis highlighted their dispersion across all Nucleocytoviricota orders. Strong GV population endemism emerged between lakes from similar regions and biomes (Antarctic and Arctic), but a polar/temperate barrier in lacustrine GV populations and differences in their gene content could be observed. Our study establishes a robust genomic reference for future investigations into lacustrine GV ecology in fast changing polar environments.

Which Is More Important, Marketing or Sales?

Marketing and sales roles have substantially changed in today's fast-paced corporate climate. This paper examines how marketing and sales evolve, emphasizing understanding their significance and interaction inside contemporary organizations. To shed light on the intricate dynamics of these crucial roles, the study evaluates essential literature, analyses case studies from real-world situations, and assesses current state-of-the-art research. The report examines the case study of "The New York Times" in depth to show how marketing and sales methods may be used in real-world situations. It emphasizes how dynamic pricing and data-driven advertising dramatically affect reader engagement, retention, and income. The research offers insightful analysis of the efficacy of these methods in the digital era, which is characterized by altering customer expectations and behavior. This paper also recognizes marketing and sales drawbacks, such as data privacy issues, algorithmic bias, environmental issues, and ad weariness. The paper projects a future molded by immersive technology, voice search optimization, sustainability-focused practices, and artificial intelligence. However, this study highlights how sales and marketing work together to drive corporate success. It emphasizes how organizations must change, work together, and take advantage of new trends to succeed in a market that is undergoing fast change. Businesses may put themselves in a position for long-term success and excellence in customer service by recognizing the importance of both roles and their symbiotic connection.

Development and evaluation of regression tree models for predicting in-hospital mortality of a national registry of COVID-19 patients over six pandemic surges.

Objective prognostic information is essential for good clinical decision making. In case of unknown diseases, scarcity of evidence and limited tacit knowledge prevent obtaining this information. Prediction models can be useful, but need to be not only evaluated on how well they predict, but also how stable these models are under fast changing circumstances with respect to development of the disease and the corresponding clinical response. This study aims to provide interpretable and actionable insights, particularly for clinicians. We developed and evaluated two regression tree predictive models for in-hospital mortality of COVID-19 patient at admission and 24 hours (24 h) after admission, using a national registry. We performed a retrospective analysis of observational routinely collected data. Two regression tree models were developed for admission and 24 h after admission. The complexity of the trees was managed via cross validation to prevent overfitting. The predictive ability of the model was assessed via bootstrapping using the Area under the Receiver-Operating-Characteristic curve, Brier score and calibration curves. The tree models were assessed on the stability of their probabilities and predictive ability, on the selected variables, and compared to a full-fledged logistic regression model that uses variable selection and variable transformations using splines. Participants included COVID-19 patients from all ICUs participating in the Dutch National Intensive Care Evaluation (NICE) registry, who were admitted at the ICU between February 27, 2020, and November 23, 2021. From the NICE registry, we included concerned demographic data, minimum and maximum values of physiological data in the first 24 h of ICU admission and diagnoses (reason for admission as well as comorbidities) for model development. The main outcome measure was in-hospital mortality. We additionally analysed the Length-of-Stay (LoS) per patient subgroup per survival status. A total of 13,369 confirmed COVID-19 patients from 70 ICUs were included (with mortality rate of 28%). The optimism-corrected AUROC of the admission tree (with seven paths) was 0.72 (95% CI: 0.71-0.74) and of the 24 h tree (with 11 paths) was 0.74 (0.74-0.77). Both regression trees yielded good calibration and variable selection for both trees was stable. Patient subgroups comprising the tree paths had comparable survival probabilities as the full-fledged logistic regression model, survival probabilities were stable over six COVID-19 surges, and subgroups were shown to have added predictive value over the individual patient variables. We developed and evaluated regression trees, which operate at par with a carefully crafted logistic regression model. The trees consist of homogenous subgroups of patients that are described by simple interpretable constraints on patient characteristics thereby facilitating shared decision-making.

Extracellular adenosine triphosphate skews the T helper cell balance and enhances neutrophil activation in mice with food allergies.

Exposure to food allergens elicits fast changes in the intestinal microenvironment, which guides the development of allergic reactions. Investigating the key information about these changes may help in better understanding food allergies. In this research, we explored the relationship between a food allergy and extracellular adenosine triphosphate (ATP), a danger molecule that has been proved to regulate the onset of allergic asthma and dermatitis but has not been studied in food allergies, by developing a unique animal model through allergen-containing diet feeding. After consuming an allergen-containing diet for 7 days, the allergic mice exhibited severe enteritis with elevated luminal ATP levels. The dysregulated luminal ATP worsened food-induced enteritis by enhancing Th17 cell responses and increasing mucosal neutrophil accumulation. In vitro experiments demonstrated that ATP intervention facilitated Th17 cell differentiation and neutrophil activation. In addition, the diet-induced allergy showed noticeable gut dysbiosis, characterized by decreased microbial diversity and increased diet-specific microbiota signatures. As the first, we show that food-induced enteritis is associated with an elevated concentration of luminal ATP. The dysregulated extracellular ATP exacerbated the enteritis of mice to a food challenge by manipulating intestinal Th17 cells and neutrophils.

Exploring the Effectiveness of Benchmarking Approach With Educational Technologies in Maritime English Education

The article describes the use of a benchmarking approach as an effective means of assessing and comparing competitiveness and improving the organization`s activities. In the era of the information society, knowledge fast changes and distributes, making it impossible educational institutions to be successful if not have a real competitive advantage. The use of educational technology while Maritime Education and Training improves student outcomes, including grades and test scores. The paper describes the use of educational technology in a variety of ways, including blended learning, flipped classrooms, and personalized learning as a more engaging and effective learning environment. Benchmarking and educational technologies are two intertwined concepts that play a crucial role in improving the quality of maritime education. Research suggests that educational technologies can positively influence Maritime English education of future ship engineers. EdTech tools can be used to simulate different educational scenarios and predict potential outcomes. This can help educators benchmark their current practices against alternative approaches and make informed decisions. Such technologies provide students with access to authentic materials, real-life scenarios, and immediate feedback, enabling them to develop their speaking, listening, reading, and writing skills. Benchmarking can foster a culture of continuous improvement and encourage collaboration among educators to share best practices and develop innovative solutions. The paper concludes with positive impact of benchmarking approach with educational technologies into Maritime English education of future seafarers. The prospects of further research can be seen in the use of benchmarking approach while Collaborative Online International Learning, namely Maritime English online courses on LMS MOODLE.

The National Health Policy, 2017: Health Seeker’s Profile and Accrued Benefit Analysis

The landscape of health is fast changing in developing countries. India being a signatory to the Alma Ata Declaration on “Health for All” has transformed the landscape of health in the country through Constitutional guarantees, plans, and policy measures. Constitutional bindings like those like Art 21, 38, 39(A) and the Directive Principles of State Policy have put compulsion on the Government of India to take measures for the universalization of health care and this is one of the ambitious targets of the 12th five-year plan aimed at comprehensive health care security to all. It mandates the country to ensure affordable, accountable, appropriate promotive, preventive, curative, and rehabilitative health care services and equitable access to health care to all citizens of India despite their caste, class, gender, religion, etc. In this context. In 2017, the Government of India introduced its health policy to provide coverage to the entire population of the developing country, i.e., India. It was a welcome initiative on the part of the country. After 6 years, the present article tries to map the health seekers' profile and how far benefits of health reform have been accrued by them. The researchers in this article have employed descriptive design with quantitative methods of data collection in the city of Bhubaneswar. The study concludes that the 2017 Healthcare policy has undoubtedly addressed the discrepancies in healthcare services to the population in terms of gender, age, and economic status, but still finds private healthcare services to cover more commoners and ensure services to them.

Exploring the Potential of Generative AI in Shaping Engineering Education: Opportunities and Challenges

Abstract—Engineering education equips students with the necessary knowledge and skills to thrive in rapidly evolving field of engineering and computer science. However, updating the curriculum to be current with the latest advancements can be challenging for educators. The curriculum and activities (both cocurricular and extra-curricular) activities must be designed such way as to educate a global engineer with multidimensional attributes. The faculty and administrators must be willing to adapt to the fast changes in technology and learning habits of our students. In this day and age of ChatGPT, Bard, Perplexity and other generative AI tools, educators have to adapt and focus on creative ways of engaging students towards lifelong learning with strong work ethics and professional skills. This paper explores the potential of generative artificial intelligence (AI) in revolutionizing engineering education by designing and offering up-to-date content. It examines specific examples in various engineering domains and discusses the benefits of generative AI in accreditation efforts and faculty time allocation. Keywords—engineering education; generative AI; prompt engineering.

Electrofluorochromism based on the valence change of europium complexes in electrochemical devices with Prussian blue as the counter electrode.

The electrofluorochromism of Eu complexes based on the valence change between Eu3+ and Eu2+ is demonstrated in a two-electrode electrochemical device consisting of Prussian blue (PB) as the counter electrode. This study aims to improve the electrofluorochromic (EFC) performance of luminescence switching between Eu3+ and Eu2+ by enhancing the electrochemical reactivity of the EFC device. By introducing a PB film as a counter electrode in a two-electrode device, the redox reaction of Eu3+/2+ is promoted because of charge compensation by the counter PB film. The increase in the reaction charge enables faster changes in the photoluminescence from Eu3+ to Eu2+ and an increase in the blue luminescence intensity from the Eu2+ state. This approach achieves a lowered driving voltage, accelerates the electrochemical redox reaction of the Eu complex, and enhances the reversibility of the valence change of the Eu ion.

Adjustable comb/bottlebrush fast UV-curable epoxy-based form-stable phase change materials with high encapsulation rates and ultralow enthalpy loss

The design strategy of reliable epoxy-based FSPCMs with fast UV-curable performance or self-healing behavior.

Industry 4.0: Makes Manufacturing Factory Smatter

The purpose of this article is to present an overview of industry 4.0. The goal of this presentation is to give a brief perspective of what Industry 4.0 is, its challenges in today’s manufacturing environments. Many researchers have mentioned that implementing industry 4.0 is a response to the current challenges in fast changing environments. In this paper, I have provided a comprehensive introduction and definition about this Industry 4.0 concept, transformation steps and explain the technologies involved in Industry 4.0 ecosystem. After that, I have presented several points about challenges and issues of Industry 4.0, then the most relevant and potential benefits of this new industrial paradigm. Lastly, I have ended this presentation by drawing a conclusion. The successful path to smatter Industry 4.0 depends on having a vision and enterprise-wide strategy, rather than taking a piecemeal approach to implementing technology solutions. Focus on business drivers, tech enablers that overcome pain points, and working with the right partner ecosystem to accelerate sustainable transformation for greater business value and opportunity outcomes. Now in competitive market, it is more likely a company will be more profitable and create jobs when it produces products with higher flexibility, quality and technology content and applying Industry 4.0 than by competing on low-price products. In addition, companies can take advantage of the broad range of aspects of Industry 4.0, including smart products, smart assets, and optimized factories operating sustainably and creating optimal conditions for empowered workers. Manufacturing organizations need an enterprise-wide strategy to gain the full business value of Industry 4.0, including productivity, sustainability, and competitive edge. A smatter Industry 4.0 approach helps organizations overcome the challenges they currently face, and it also enables them to become future-ready to build anything, anytime, anywhere. The goal of Industry 4.0 implement is to enable autonomous decision-making processes, monitor assets and processes in real-time, maintaining improved quality and enable equally real-time connected value creation networks through early involvement of stakeholders, and vertical and horizontal integration.

Distinguishing fast change in social norms and slow change in personal norms in cooperative decision-making.

Psychological research on norms has shown that norms are highly relevant for individuals' decision-making. Yet, there is so far little understanding of how norms change over time. Knowledge about how norms change may help better understanding their potential for as well as limitations in guiding decision-making and changing behavior. The present work investigated change in individuals' cooperation norms. As an indicator of different underlying processes of norm change, the temporal dynamics of different types of norms were examined. It was assumed that participants' social norms are adapted quickly whenever the social situation changes, while personal norms change more slowly and gradually, abstracting part of the situational learning in interaction with one's personality. In an experimental study, participants played a repeated prisoner's dilemma game with artificial co-players representing a predominantly cooperative or uncooperative social setting, depending on the experimental condition. The condition was expected to affect slow learning of personal norms. Additionally, the cooperativeness of the social setting was varied repeatedly within conditions, expected to result in fast changes in social norms. Participants' personal and social norms were assessed throughout the game. As predicted, the temporal dynamics differed between norms with social norms changing quickly and personal norms more slowly. Personal norms strongly predicted behavioral decision-making and were predicted by situational and personality factors. Potential qualitative differences of the underlying norm change processes are discussed.

Workshop synthesis: Commercial trips patterns and demand for goods from firms and households

In this paper we present the findings of the 12th ISCTSC conference workshop on commercial trips patterns and demand for goods from firms and households. With discussions structured on 3 key dimensions (subjects of observation, indicators and factors of change), this workshop highlighted the complexity of observational methods combining household and company behaviors. Given this first conclusion, participants identified 2 methodological challenges for commercial trips observation: discussing the pertinence of traditional surveys regarding these forms of mobility and involving respondents in surveys on this complex and sensitive topic. Elements were presented and proposed in the perspective of limiting respondents burden specifically for company related surveys and tailoring survey methods specifically for fast changing behaviors such as e-commerce. An additional challenge identified by the participants was also the need for a better connection between freight and passenger reflexions.

SELF-EMPLOYMENT IN INDIA IN THE FACE OF GROWING POPULATION AND UNEMPLOYMENT: HIGHLIGHTING THE UNDERCURRENT DETERMINANTS AT PLAY

There has been a pressure on consecutive governments and policymakers to create enough jobs in India so that the workforce of India can be used improved and the population can be self-sustainable by becoming economically strong. The creation of jobs, in addition to safeguarding that the working population becomes economically productive, is also a vital avenue for fighting poverty and lack of proper use of intellectual, manual and skill-based potentials of the individuals. India has come to enjoy a distinct advantage in labour market compared to most developed and less developed countries due to the fast changing age distribution of population. India has experienced fairly consistent changes in the first indicator, especially after the 1991 reforms, but the trend in employment has not revealed any consistent or clear pattern. Though the Periodic Labour Force Survey (PLFS) shows increment in worker to population ratio and narrowing of the gender gap in employment in recent past, the unemployment scenario of India still remains disappointing. The present study aims to analyze the factors leading to unemployment and its impact on the Indian economy. The study focusses on how growing population leads to unemployment. The study makes use of secondary data sources and focusses on the present scenario of unemployment in India. The paper analyzes how an increase in population, poverty, illiteracy, inflation and lack of full employment can lead to a slowdown in the growth of the economy.

Shifting Alliances: Iran-Pakistan Relations in the Aftermath of the Islamic Revolution and Soviet Invasion of Afghanistan

This study investigates the multifaceted relationships that have emerged between Iran and Pakistan in the years following the Islamic Revolution in 1979 and the Soviet invasion of Afghanistan in 1980. This article offers light on the profound geopolitical transformations that have occurred in the region, highlighting how the United States' loss of Iran and the Soviet Union's conquest of Afghanistan significantly affected the balance of power in the region. The study is centered on the developing relationship between Iran and Pakistan, and it takes a journey through historical events such as Iran's backing for the Afghan Mujahideen, the effects of the Iran-Iraq conflict, and the difficulties that arise from different perspectives on Afghanistan. Furthermore, it investigates the socio-cultural components that form the connection between the two countries, particularly in the region of Balochistan. The economic components are subjected to a careful evaluation in this article, which also investigates trade trends and the blocked gas pipeline between Iran and Pakistan. The research comes to a conclusion with strategic recommendations for both countries to improve their bilateral relations in a world that is fast changing. These proposals are discussed in light of the current geopolitical circumstances.

Risk Analysis and Supply Chain Management for Companies Short-Life-Cycle Products

When the supply chain operates in an uncertain environment, especially for fashion products with fast changing trends and short life cycles, matching supply and demand is the main task. This requires enterprises to have the ability to analyze risks and manage the supply chain. This paper is mainly about a case analysis of Sport Obermeyer who is confronting two core issues, Greater products variety and more intense competition have made accurate predictions increasingly difficult and How to allocate production between two suppliers. The key tool to solve these two problems is the Newsvendor Model. Following the principles of the model, the article first calculates the expected quantity and profits of each product. Afterwards, based on the comparison of the mismatch cost of each product, the article provides a preliminary decision. After analyzing the advantages and disadvantages of the suppliers, the article obtains the final result. This process demonstrates some ways on risk analysis and supply chain management and provides some new perspectives for the development of the enterprise and related research in the future.

Viscoelastic Properties of Acellular Matrices of Porcine Esophageal Mucosa and Comparison with Acellular Matrices of Porcine Small Intestine Submucosa and Bovine Pericardium.

The aim of this study was to compare the viscoelastic properties of a decellularized mesh from the porcine esophagus, prepared by our group, with two commercial acellular tissues derived from porcine small intestine submucosa and bovine pericardium for use in medical devices. The tissues' viscoelastic properties were characterized by creep tests in tension, applying the load in the direction of the fibers or the transverse direction, and also by dynamic-shear mechanical tests between parallel plates or in tension at frequencies between 0.1 and 35 Hz. All the tests were performed in triplicate at a constant temperature of 37 °C immersed in distilled water. The tissues' surface and cross-sectional microstructure were observed by scanning electron microscopy (SEM) to characterize the orientation of the fibers. The matrices of the porcine esophagus present an elastic modulus in the order of 60 MPa when loaded in the longitudinal direction while those of the porcine intestine submucosa and bovine pericardium have an elastic modulus below 5 MPa. Nevertheless, the shear modulus of bovine pericardium nearly triplicates that of the esophageal matrix. The viscoelasticity of decellularized esophageal mucosa is characterized by a fast change in the creep compliance with time. The slope of the creep curve in the double logarithmic plot is twice that of the control samples. These results are consistent with the microstructure observed under electron microscopy regarding the orientation of the fibers that make up the matrices.

Blue Light Exposure Caused Large-Scale Transcriptional Changes in the Abdomen and Reduced the Reproductive Fitness of the Fall Armyworm Spodoptera frugiperda.

In the present study, we found that blue light stress negatively affected the development periods, body weight, survival and reproduction of Spodoptera frugiperda, and it showed a dose-dependent reaction, as longer irradiation caused severer effects. Further transcriptome analysis found blue light stress induced fast and large-scale transcriptional changes in the head, thorax and, particularly, the abdomen of female S. frugiperda adults. A functional enrichment analysis indicated that shorter durations of blue light irradiation induced the upregulation of more stress response- and defense-related genes or pathways, such as abiotic stimuli detection and response, oxidative stress, ion channels and protein-kinase-based signal pathways. In the abdomen, however, different durations of blue-light-exposure treatments all induced the downregulation of a large number genes and pathways related to cellular processes, metabolism, catalysis and reproduction, which may be a trade-off between antistress defense and other processes or a strategy to escape stressful conditions. These results indicate irradiation duration- and tissue-specific blue light stress responses and consequences, as well as suggest that the stress that results in transcriptional alterations is associated with the stress that causes a fitness reduction in S. frugiperda females.

Imaging microglia surveillance during sleep-wake cycles in freely behaving mice

Microglia surveillance manifests itself as dynamic changes in cell morphology and functional remodeling. Whether and how microglia surveillance is coupled to brain state switches during natural sleep-wake cycles remains unclear. To address this question, we used miniature two-photon microscopy (mTPM) to acquire time-lapse high-resolution microglia images of the somatosensory cortex, along with EEG/EMG recordings and behavioral video, in freely-behaving mice. We uncovered fast and robust brain state-dependent changes in microglia surveillance, occurring in parallel with sleep dynamics and early-onset phagocytic microglial contraction during sleep deprivation stress. We also detected local norepinephrine fluctuation occurring in a sleep state-dependent manner. We showed that the locus coeruleus-norepinephrine system, which is crucial to sleep homeostasis, is required for both sleep state-dependent and stress-induced microglial responses and β2-adrenergic receptor signaling plays a significant role in this process. These results provide direct evidence that microglial surveillance is exquisitely tuned to signals and stressors that regulate sleep dynamics and homeostasis so as to adjust its varied roles to complement those of neurons in the brain. In vivo imaging with mTPM in freely behaving animals, as demonstrated here, opens a new avenue for future investigation of microglia dynamics and sleep biology in freely behaving animals.

Imaging microglia surveillance during sleep-wake cycles in freely behaving mice.

Microglia surveillance manifests itself as dynamic changes in cell morphology and functional remodeling. Whether and how microglia surveillance is coupled to brain state switches during natural sleep-wake cycles remains unclear. To address this question, we used miniature two-photon microscopy (mTPM) to acquire time-lapse high-resolution microglia images of the somatosensory cortex, along with EEG/EMG recordings and behavioral video, in freely-behaving mice. We uncovered fast and robust brain state-dependent changes in microglia surveillance, occurring in parallel with sleep dynamics and early-onset phagocytic microglial contraction during sleep deprivation stress. We also detected local norepinephrine fluctuation occurring in a sleep state-dependent manner. We showed that the locus coeruleus-norepinephrine system, which is crucial to sleep homeostasis, is required for both sleep state-dependent and stress-induced microglial responses and β2-adrenergic receptor signaling plays a significant role in this process. These results provide direct evidence that microglial surveillance is exquisitely tuned to signals and stressors that regulate sleep dynamics and homeostasis so as to adjust its varied roles to complement those of neurons in the brain. In vivo imaging with mTPM in freely behaving animals, as demonstrated here, opens a new avenue for future investigation of microglia dynamics and sleep biology in freely behaving animals.

Operando Studies of Electrochemical Interfaces By High-Energy Surface x-Ray Scattering

Knowledge on the atomic-scale structure of the electrode-electrolyte interface is of key importance for understanding electrochemical reactivity. This includes the structure of the atomic layers at the electrode surface, the arrangement of chemisorbed species on the surface, and the near-surface structure of the adjacent electrolyte, i.e., the electrochemical double layer. Surface X-ray scattering (SXRD) methods can provide such information and have been used for decades to obtain important insights into various structural aspects of electrochemical systems. However, conventional SXRD is limited by the considerable time required for a full characterization of the three-dimensional interface as well as in terms of the structural detail that can be reliably extracted from the diffraction data by structural models. This is related to the slow sequential data acquisition necessary for such measurements.We here describe in situ and operando studies of electrochemical interface structure by High Energy Surface X-ray Diffraction (HESXRD), where the interface structure is probed by hard X-rays with high photon energy (in this work 70 keV). This method has been originally developed for studies of catalyst surfaces in the gas phase [1], but is starting to be applied increasingly to electrochemical systems. In combination with the highly brilliant beams provided by emerging hard X-ray 4th generation synchrotron, HESXRD allows to obtain very large datasets in short time. From these the interface structure can be determined with unprecedented detail by a quantitative analysis of the measured crystal truncation rods (CTRs). Furthermore, measurement of restricted datasets is possible with even high time resolution down to the second or sub-second regime, which is ideal for monitoring fast kinetic changes in operando.We illustrate the capabilities of HESXRD by studies of platinum surface oxidation and magnetite single crystal electrodes under oxygen evolution conditions. For the case of platinum we present data on Pt(111), Pt(100), and Pt(110) in 0.1 M HClO4 that reveal distinct differences in the structure and formation mechanisms of the Pt surface oxide [2]. Because of these differences, the irreversible surface restructuring and Pt dissolution during oxidation/reduction cycles depends strongly on the crystallographic orientation. In addition, we demonstrate for Pt(111) that the extraction of Pt atoms out of the electrode surface in the initial stages of oxidation is not directly coupled to the charge transfer associated with the formation of adsorbed oxygen species [3]. Studies on magnetite focus on Fe3O4(100) in 0.1 M NaOH, where previous SXRD studies showed that the (√2x√2)R45° reconstructed surface formed under UHV conditions can be maintained [4]. HESXRD allowed to obtain extended CTR datasets, which provide deeper insights into the structure of this oxide model electrocatalyst.[1] J. Gustafson et al., Science 343, 758 (2014)[2] T. Fuchs et al., Nature Catalysis 3, 754 (2020)[3] T. Fuchs et al., J. Phys. Chem. Lett. 14, 3589 (2023), https://doi.org/10.1021/acs.jpclett.3c00520[4] D. Grumelli et al., Ang. Chem. Int. Ed. 59, 49 (2020)