Materials Science Research Articles

Диагностика сформированности смыслового чтения при работе учеников средней школы с учебными математическими текстами

Learning is working with a variety of educational texts based on reading, understanding, evaluating and interpreting information. To identify the result of reading an educational mathematical text and the quality of understanding the meaning of the text space created by educational materials, it is necessary to diagnose reading, namely, the level of semantic reading. In the modern study of reading, the PISA international monitoring, the concept of reading literacy, its components and levels are defined. The success of understanding more complex educational mathematical texts will depend on the level of reader literacy. If the levels of reading literacy have evaluation criteria and diagnostic apparatus, then how to assess the level of semantic reading? The article examines the relationship between the levels of reading literacy and text comprehension, models for assessing the semantic complexity of the text and semantic reading skills, various level structures for diagnosing the understanding of a mathematical educational text. Based on the studied scientific material, the complexity of the educational mathematical text "Triangle" was assessed according to criteria such as the number of words, simple words, scientific terms and their complexity, the number of mentions of scientific terms in each paragraph. Diagnostic material has also been created to check the understanding of this text, each task of which is aimed at determining the understanding of each information block and assessing the degree of development of semantic reading.

Data-Driven Materials Research and Development for Functional Coatings.

Functional coatings, including organic and inorganic coatings, play a vital role in various industries by providing a protective layer and introducing unique functionalities. However, its design often involves time-consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data-driven approaches are gaining traction in materials science. In this paper, recent advances in data-driven materials research and development (R&D) for functional coatings, highlighting the importance, data sources, working processes, and applications of this paradigm are summarized. It is begun by discussing the challenges of traditional methods, then introduce typical data-driven processes. It is demonstrated how data-driven approaches enable the identification of correlations between input parameters and coating performance, thus allowing for efficient prediction and design. Furthermore, carefully selected case studies are presented across diverse industries that exemplify the effectiveness of data-driven methods in accelerating the discovery of new functional coatings with tailored properties. Finally, the emerging research directions, involving integrating advanced techniques and data from different sources, are addressed. Overall, this review provides an overview of data-driven materials R&D for functional coatings, shedding light on its potential and future developments.

Beyond absorption maxima: the impact of wavelength-resolved photochemistry on materials science.

Reflecting on Giacomo Ciamician's revolutionary vision of harnessing sunlight to drive photochemical transformations, the field of materials science has evolved significantly, yet it has been constrained by the misconception that the highest reactivity in photochemical systems is achieved at the absorption maxima. Here, we explore this notion further with evidence from photochemical action plots, demonstrating that reactivity can indeed be maximal at wavelengths significantly separated from the absorption peak. By examining the implications of the disparity between absorptivity and photochemical reactivitiy, we explore its impact for the enhanced penetration depth of light in photoresists, the reduction of energy requirements for photochemical reactions, and its transformative potential for volumetric 3D printing. Ultimately, we argue for a renewed appreciation of light's capability to facilitate photochemical reactions across the entire volume of a material.

Microfluidics and Nanofluidics in Strong Light–Matter Coupling Systems

The combination of micro- or nanofluidics and strong light–matter coupling has gained much interest in the past decade, which has led to the development of advanced systems and devices with numerous potential applications in different fields, such as chemistry, biosensing, and material science. Strong light–matter coupling is achieved by placing a dipole (e.g., an atom or a molecule) into a confined electromagnetic field, with molecular transitions being in resonance with the field and the coupling strength exceeding the average dissipation rate. Despite intense research and encouraging results in this field, some challenges still need to be overcome, related to the fabrication of nano- and microscale optical cavities, stability, scaling up and production, sensitivity, signal-to-noise ratio, and real-time control and monitoring. The goal of this paper is to summarize recent developments in micro- and nanofluidic systems employing strong light–matter coupling. An overview of various methods and techniques used to achieve strong light–matter coupling in micro- or nanofluidic systems is presented, preceded by a brief outline of the fundamentals of strong light–matter coupling and optofluidics operating in the strong coupling regime. The potential applications of these integrated systems in sensing, optofluidics, and quantum technologies are explored. The challenges and prospects in this rapidly developing field are discussed.

Studies of Phase Transformation Kinetics in the System of Nanocrystalline Iron/Ammonia/Hydrogen at the Temperature of 350 °C by Means of Magnetic Permeability In Situ Measurement

The kinetics of phase transformations in the nitriding process α-Fe → γ’-Fe4N → ε-Fe3-2N of the pre-reduced iron ammonia synthesis catalyst was investigated under in situ conditions (atmospheric pressure, 350 °C) by measuring changes of mass, gas phase composition, and magnetic permeability in a differential tubular reactor. The iron nanocrystallite size distribution according to their specific active surface areas was measured, and it was found that the catalyst is bimodal as the sum of two Gaussian distributions, also differing in the value of the relative magnetic permeability. Relative magnetic permeability of small α-Fe crystals in relation to large crystals is higher by 0.02. In the area of α → γ’ transformation, the magnetic permeability dependencies change, proving the existence of two mechanisms of the α-Fe structure change in the α-Fe → γ’-Fe4N transformation. In the first area, a solution of α-Fe (N) is formed with a continuous and insignificant change of the crystal lattice parameters of the iron lattice. In the second area, there is a step, oscillatory change in the parameters of the iron crystal lattice in FexN (x = 0.15, 0.20, 0.25 mol/mol). In the range of γ’-Fe4N → ε-Fe3-2N transformation, a solution is formed, with nitrogen concentration varying from 0.25–0.45 mol/mol. During the final stage of the nitriding process, at a constant value of the relative magnetic permeability, only the concentration of nitrogen in the solution εr increases. The rate of the phenomenon studied is limited by a diffusion rate through the top layer of atoms on the surface of iron nanocrystallite. The estimated value of the nitrogen diffusion coefficient varied exponentially with the degree of nitriding. In the area of the solution, the diffusion coefficient is approximately constant and amounts to 5 nm2/s. In the area of oscillatory changes, the average diffusion coefficient changes in the range of 3–11 nm2/s, and is inversely proportional to the nitrogen content degree. The advantage of the research method proposed in this paper is the possibility of simultaneously recording, under reaction conditions, changes in the values of several process parameters necessary to describe the process. The research results obtained in this way can be used to develop such fields of knowledge as heterogeneous catalysis, materials engineering, sensorics, etc.

Using a combination of cognitive behavioral therapy, case management and eHealth components for patients with depression or panic disorders in primary care practices in Hesse, Germany: an exploration of healthcare professionals’ lived experiences

BackgroundDepression and panic disorders have high prevalence rates in primary care. Given the crucial role of general practitioners in diagnosing and treating mental disorders, the two-arm cluster-randomized, controlled PREMA trial was designed. PREMA was aimed at investigating a new intervention combining cognitive behavioral therapy, case management and eHealth components for patients with depression and/or panic disorder with or without agoraphobia in primary care practices in Germany. This qualitative study, embedded in the PREMA trial, explores primary healthcare professionals’ lived experiences in using the new treatment program. Using a qualitative design, we conducted eleven interviews with general practitioners and medical assistants from Hesse, Germany, between July 2021 and March 2022. For both groups we relied on a semi-structured interview guide covering the following subjects: study procedures, implementation, practicality, and individual components of the treatment program. Interviews were audio-recorded, transcribed verbatim and analyzed by two researchers using content analysis. A deductive-inductive approach was used for the analysis according to Kuckartz.ResultsWe narratively summarized the facilitators and barriers from two different stakeholders across five key themes regarding experiences of feasibility and practicability of the new treatment program: study instruction materials, individual components of the treatment program, practicality, target population, and benefits of the treatment program. Facilitators to become familiar with the study include study instruction materials that are easy to understand and not too complex, considering the limited time resources available; barriers included text-heavy instruction materials, lack of collegial exchange, and issues especially with digital materials also involved access and log-in difficulties on the online platform. Facilitators for using the treatment program include the combination of face-to-face consultations and the use of an online platform, enabling a structured approach and regularity; barriers included patients feeling unsupported in performing anxiety exercises independently at home. For practicality, the professional skills of medical assistants and their central role as points of contact for patients facilitated the implementation; barriers included time-intensive organization and planning of monitoring phone calls and consultations. Regarding the target population, general practitioners and medical assistants state that the treatment program would be most appropriate for patients with mild to moderate depression and for those waiting for psychotherapeutic treatment; it would be less suitable for older patients, and those with negative attitudes towards technological tools. For benefits of the program, facilitating factors included free and low-threshold access to the online platform and strengthening the relationship between medical assistants and patients; barriers included a preference for in-person conversations and the inability of some people to use online applications.ConclusionsThe complexity of the new treatment program and the associated high workload underline the need for further adjustments to the treatment approach. Team-based care and the expanded responsibilities of medical assistants demonstrated promising results.Trial registrationThe study was registered in the German Clinical Trials Register (DRKS00016622) on February 22, 2019.

Polyoxometalate‐Based Single‐Atom Catalyst with Precise Structure and Extremely Exposed Active Site for Efficient H2 Evolution

Single‐atom catalysts with precise structure and extremely high catalytic efficiency remain a fervent focus in the fields of materials chemistry and catalytic science. Herein, a nickel‐substituted polyoxometalate (POM) {NiSb6O4(H2O)3[β‐Ni(hmta)SbW8O31]3}15‐ (NiPOM) with one extremely exposed nickel site [NiO3(H2O)3] was synthesized using the conventional aqueous method. The uniform dispersion of single nickel center with well‐defined structure was facilely achieved by anchoring nanosized NiPOM on graphene oxide (GO). The resulting NiPOM/GO can couple with CdS photoabsorber for the construction of low‐cost and ultra‐efficient hydrogen evolution system. The H2 yield can reach to 2753.27 mmol gPOM‐1 h‐1, which represents a record value among all the POM‐based photocatalytic systems. Remarkablely, an extremely high hydrogen yield of 3647.28 mmol gPOM‐1 h‐1 was achieved with simultaneous photooxidation of commercial waste plastic, representing the first POM‐based photocatalytic system for H2 evolution and waste plastic conversion. This work highlights a straightforward strategy for constructing extremely exposed single‐metal site with precise microenvironment by facilely manipulating nanosized molecular cluster to control individual atom.

Polyoxometalate‐Based Single‐Atom Catalyst with Precise Structure and Extremely Exposed Active Site for Efficient H2 Evolution

Single‐atom catalysts with precise structure and extremely high catalytic efficiency remain a fervent focus in the fields of materials chemistry and catalytic science. Herein, a nickel‐substituted polyoxometalate (POM) {NiSb6O4(H2O)3[β‐Ni(hmta)SbW8O31]3}15‐ (NiPOM) with one extremely exposed nickel site [NiO3(H2O)3] was synthesized using the conventional aqueous method. The uniform dispersion of single nickel center with well‐defined structure was facilely achieved by anchoring nanosized NiPOM on graphene oxide (GO). The resulting NiPOM/GO can couple with CdS photoabsorber for the construction of low‐cost and ultra‐efficient hydrogen evolution system. The H2 yield can reach to 2753.27 mmol gPOM‐1 h‐1, which represents a record value among all the POM‐based photocatalytic systems. Remarkablely, an extremely high hydrogen yield of 3647.28 mmol gPOM‐1 h‐1 was achieved with simultaneous photooxidation of commercial waste plastic, representing the first POM‐based photocatalytic system for H2 evolution and waste plastic conversion. This work highlights a straightforward strategy for constructing extremely exposed single‐metal site with precise microenvironment by facilely manipulating nanosized molecular cluster to control individual atom.

Development of Digital Phonology Teaching Materials Using Shadowing Techniques for Korean BIPA Learners

This research aims to produce digital phonology teaching materials using the shadowing technique to improve the pronunciation skills of basic-level Korean BIPA learners. The research method employed Research and Development (R&D) with the ADDIE development model, which includes the stages of Analysis, Design, Development, Implementation, and Evaluation. Data collection techniques involved needs analysis by interviewing BIPA learners and instructors, then conducting pronunciation tests on Korean BIPA learners to identify pronunciation challenges and specific needs for material development. Based on this analysis, the digital teaching materials were designed and developed, then validated by media experts, material experts, and BIPA practitioners. Data analysis techniques in this research included quantitative and qualitative methods. The result showed that the development of digital phonology teaching materials with shadowing techniques for Korean BIPA learners was effective in improving Indonesian pronunciation skills. The evaluation results showed that this teaching material received a very positive response from teachers and learners, with feasibility test scores of 98% and 94% respectively, as well as expert validation that supported the quality of the teaching material. Thus, this digital teaching material not only meets the expected standards, but also offers concrete solutions to the pronunciation challenges faced by Korean BIPA learners, and is ready to be used to improve the effectiveness of Indonesian pronunciation learning.

Development of Digital Teaching Materials for Indonesian Phonetics with Sound Association Design for Basic Level BIPA Arabic Learners

This research aims to develop digital teaching materials for Indonesian phonetics designed with sound association to support basic-level BIPA learners. This research method used research and development with the 4-D model, which consists of Define, Design, Develop, and Disseminate stages. The research instruments included pronunciation ability tests, learner needs questionnaires, BIPA teacher interview instruments, and validation sheets from experts and practitioners. The data analysis techniques used were qualitative and quantitative methods and Gregory's validity test with validity assessment criteria using the Likert Scale 1-4. The validation results indicated that the materials were "feasible" with some necessary revisions. After making the suggested revisions, the revised materials were piloted with basic-level BIPA learners. Feedback from these learners rated the materials as "very feasible", indicating a positive reception. The final product is a digital flipbook equipped with audio pronunciation guides and illustrations that can be accessed online. This format provides a flexible and engaging alternative for improving Indonesian pronunciation for Arabic-speaking BIPA learners, making it a valuable addition to the available teaching resources.

Synthesis of α,α-Difluoromethylene Amines from Thioamides Using Silver Fluoride.

We developed a mild, rapid process employing AgF and thioamides to produce α,α-difluoromethylene amines efficiently. This method exhibited remarkable tolerance toward various functional groups present in N-sulfonylthioamides, thereby broadening the scope of difluoromethylene sulfonamides through a straightforward approach. Additionally, we applied this approach to synthesize various perfluoroalkyl amines, establishing practical synthetic routes for exploring these compounds in pharmaceutical chemistry and materials science.

Twenty years of in vitro nanotoxicology: how AI could make the difference

More than two decades ago, the advent of Nanotechnology has marked the onset of a new and critical field in science and technology, highlighting the importance of multidisciplinary approaches to assess and model the potential human hazard of newly developed advanced materials in the nanoscale, the nanomaterials (NMs). Nanotechnology is, by definition, a multidisciplinary field, that integrates knowledge and techniques from physics, chemistry, biology, materials science, and engineering to manipulate matter at the nanoscale, defined as anything comprised between 1 and 100 nm. The emergence of nanotechnology has undoubtedly led to significant innovations in many fields, from medical diagnostics and targeted drug delivery systems to advanced materials and energy solutions. However, the unique properties of nanomaterials, such as the increased surface to volume ratio, which provides increased reactivity and hence the ability to penetrate biological barriers, have been also considered as potential risk factors for unforeseen toxicological effects, stimulating the scientific community to investigate to which extent this new field of applications could pose a risk to human health and the environment.

Decarboxylative and Decarbonylative Borylation of Carboxylic Acids and Their Derivatives†

Comprehensive SummaryBoronate esters are highly valued in synthetic and pharmaceutical industries for their versatility in creating C—C and C—X bonds. They also find applications as catalysts in chemical transformations as well as stimuli‐responsive materials in materials science. Some alkyl boronates themselves also show promising applications in medicinal chemistry. In the past few decades, chemists have been devoted to developing new methods or new starting materials for synthesizing boronate esters. Carboxylic acids and their derivatives are privileged chemical entities due to their readily availability or natural abundance, structural diversity, and chemical stability. Hence, the transformation of carboxylic acid and their derivatives to alkyl/aryl boronate esters has seen its fast development in the past decade. This review summarized the state‐to‐art development of decarboxylative and decarbonylative borylation of carboxylic acids and their derivatives to aryl and alkyl boronate esters. Key ScientistsThe decarboxylative and decarbonylative borylation of carboxylic acids and their derivatives started only in the past decade. In 2016, the decarbonylative borylation of carboxylic esters and amides was reported by Zhuangzhi Shi and Magnus Reuping's groups. Then, in 2017, studies on the decarboxylative borylation of redox‐active esters such as NHPI esters started to receive increasing attention by Aggarwal, Baran, Fu, Glorius, and Li's groups. From 2018 to 2023, large numbers of studies on the decarboxylative and decarbonylative borylation of carboxylic acids and their derivatives using transition‐metal‐catalyst, organo‐catalyst, or under photochemical or electrochemical conditions emerged. Due to space limitations, only pictures of scientists who have contributed more than two works in this area are shown herein.

Water structures and anisotropic dynamics at Pt(211)/water interface revealed by machine learning molecular dynamics

Abstract Water molecules at solid–liquid interfaces play a pivotal role in governing interfacial phenomena that underpin electrochemical and catalytic processes. The organization and behavior of these interfacial water molecules can significantly influence the solvation of ions, the adsorption of reactants, and the kinetics of electrochemical reactions. The stepped structure of Pt surfaces can alter the properties of the interfacial water, thereby modulating the interfacial environment and the resulting surface reactivity. Revealing the in situ details of water structures at these stepped Pt/water interfaces is crucial for understanding the fundamental mechanisms that drive diverse applications in energy conversion and material science. In this work, we have developed a machine learning potential for the Pt(211)/water interface and performed machine learning molecular dynamics simulations. Our findings reveal distinct types of chemisorbed and physisorbed water molecules within the adsorbed layer. Importantly, we identified three unique water pairs that were not observed in the basal plane/water interfaces, which may serve as key precursors for water dissociation. These interfacial water structures contribute to the anisotropic dynamics of the adsorbed water layer. Our study provides molecular-level insights into the anisotropic nature of water behavior at stepped Pt/water interfaces, which can influence the reorientation and distribution of intermediates, molecules, and ions—crucial aspects for understanding electrochemical and catalytic processes.

Shell biomechanics suggests an aquatic palaeoecology at the dawn of turtle evolution

The turtle shell is a remarkable structure that has intrigued not only evolutionary biologists but also engineering and material scientists because of its multi-scale complexity and various functions. Although protection is its most apparent role, the carapace and plastron are also related to many physiological functions and their shape influences hydrodynamics and self-righting ability. As such, analysing the functional morphology of the shell could help understanding the ecology of Triassic stem-turtles, which will contribute to the century-long debate on the evolutionary origins of turtles. Here, we used 3D imaging techniques to digitize the shells of two of the earliest stem-turtle taxa, Proganochelys and Proterochersis, and submitted their models to biomechanical and shape analyses. We analysed the strength performance under five predation scenarios and tested the function of two morphological traits found in stem-turtles, the epiplastral processes and an attached pelvic girdle. The latter, also present in the crown-lineage of side-necked turtles, has been suggested to increase load-bearing capacity of the shell or to improve swimming in pleurodires. Our results do not confirm the shell-strengthening hypothesis and, together with the results of our shape analyses, suggest that at least one of the first stem-turtles (Proterochersis) was an aquatic animal.

Advanced Materials for Energy Harvesting and Soft Robotics: Emerging Frontiers to Enhance Piezoelectric Performance and Functionality.

Piezoelectric energy harvesting captures mechanical energy from a number of sources, such as vibrations, the movement of objects and bodies, impact events, and fluid flow to generate electric power. Such power can be employed to support wireless communication, electronic components, ocean monitoring, tissue engineering, and biomedical devices. A variety of self-powered piezoelectric sensors, transducers, and actuators have been produced for these applications, however approaches to enhance the piezoelectric properties of materials to increase device performance remain a challenging frontier of materials research. In this regard, the intrinsic polarization and properties of materials can be designed or deliberately engineered to enhance the piezo-generated power. This review provides insights into the mechanisms of piezoelectricity in advanced materials, including perovskites, active polymers, and natural biomaterials, with a focus on the chemical and physical strategies employed to enhance the piezo-response and facilitate their integration into complex electronic systems. Applications in energy harvesting and soft robotics are overviewed by highlighting the primary performance figures of merits, the actuation mechanisms, and relevant applications. Key breakthroughs and valuable strategies to further improve both materials and device performance are discussed, together with a critical assessment of the requirements of next-generation piezoelectric systems, and future scientific and technological solutions.

Artificial Intelligence Tools in Academic Writing Instruction: Exploring the Potential of On-Demand AI Assistance in the Writing Process

This paper deals with the implementation of artificial intelligence tools in the process of teaching writing for academic purposes. The aims of this scientific study were to verify the practicability of implementation of selected artificial intelligence tools at the C1+/C2 level in university instruction and to gain insight into the attitudes and changes in preferences for use of AI-enhanced writing tools. The analyses were also focused on investigating the extent to which students take advantage of the potential of interaction with artificial intelligence tools in the process of composing academic texts. The research material was collected through a one-group quasi-experimental treatment in an undergraduate applied linguistics group of students. The obtained results indicate a significant increase in the use of and familiarity with artificial intelligence and the tools that apply AI algorithms to support text processing and production. The statements of the respondents prove that AI-assisted tools themselves and the knowledge how to apply them in the academic writing process remain vital and constitute a significantly useful element in the development of writing competence.

High hydrostatic pressure treatment for advanced tissue grafts in reconstructive head and neck surgery.

The increasing importance of regenerative medicine has resulted in a growing need for advanced tissue replacement materials in head and neck surgery. Allo- and xenogenic graft processing is often time-consuming and can deteriorate the extracellular matrix (ECM). High hydrostatic pressure (HHP)-treatment could allow specific devitalization while retaining the essential properties of the ECM. Porcine connective tissue and cartilage were HHP-treated at 100-400 MPa for 10 min. Structural modifications following HHP-exposure were examined using electron microscopy, while devitalization was assessed through metabolism and cell death analyses. Furthermore, ECM alterations and decellularization were evaluated by histology, biomechanical testing, and DNA content analysis. Additionally, the inflammatory potential of HHP-treated tissue was evaluated in vivo using a dorsal skinfold chamber in a mouse model. The devitalization effects of HHP were dose-dependent, with a threshold identified at 200 MPa for fibroblasts and chondrocytes. At this pressure level, HHP induced structural alterations in cells, with a shift toward late-stage apoptosis. HHP-treatment preserved ECM structure and biomechanical properties, but did not remove cell debris from the tissue. This study observed a pressure-dependent increase of markers suggesting the occurrence of immunogenic cell death. In vivo investigations revealed an absence of inflammatory responses to HHP-treated tissue, indicating a favorable biological response to HHP. In conclusion, application of HHP devitalizes fibroblasts and chondrocytes at 200 MPa while retaining the essential properties of the ECM. Prospectively, HHP may simplify the preparation of allo- and xenogenic tissue replacement materials and increase the availability of grafts in head and neck surgery.

Understanding Researchers’ Perspectives on Work Tasks in Digital Humanities and Computational Social Sciences

The usefulness of research infrastructures (RIs) for digital humanities (DH) and computational social sciences (CSS) depends on their capability to support research work tasks. RIs can provide more effective support and services when they have a clear understanding of the work practices and specific tasks researchers are engaged in. This paper explores the ways of working of social sciences and humanities (SSH) scholars to develop resources that truly endorse their data-intensive research processes. Particularly, the study investigates how SSH scholars interact with digital tools and materials to both determine their information needs and how to better support them. A qualitative analysis of 21 semi-structured interviews with potential end-users of a national RI for the DH and CSS that is currently under development revealed three themes: digitizing SSH research, meeting the information needs related to DH/CSS, and supporting DH/CSS research. Based on our findings, we were able to create an understanding of the work task-based requirements of SSH scholars that can be used to inform designs for improved RIs. Suggestions for enhancing the sustainability of resources and services in SSH are also put forth, emphasizing the importance of understanding and accommodating the unique scholarly practices within these fields.

Computational insight into transition metal atoms anchored on B2C3P as single‐atom electrocatalysts for nitrogen reduction reaction

NH3 is not only an important chemical raw material, but also a high energy storage chemical with zero carbon. Electrocatalytic nitrogen reduction reaction (NRR), which can be driven by clean electric energy under ambient conditions, have become a promising technology for NH3 synthesis due to their environmentally friendly properties. Due to the limitations of low yield and high overpotential, efficient catalysts are urgently needed to solve this problem. In this study, based on density functional theory method and high throughput screening strategy, the NRR was investigated on transition metal single atom anchored to two‐dimensional B2C3P surface (TM@B2C3P) as single‐atom catalysts (SACs). The results showed that V@B2C3P and Ti@B2C3P have good catalytic properties, and the limiting potentials via the enzymatic pathway were −0.10 and −0.24 V, respectively. Furthermore, the charge density difference and crystal orbital Hamilton population calculations demonstrated that the high catalytic activity can be attributed to the obvious charge transfer between TM@B2C3P and the adsorption intermediates. It is hoped that this work can play a certain role in exploring the application of SACs in NRR.