Life Sciences Research Articles

How do life sciences cite social sciences? Characterizing the volume and trajectory of citations

AbstractSocial sciences are increasingly recognized as significant for building a sustainable world since the social perspective can assist researchers in other fields in navigating public controversy and designing more responsible interaction mechanisms between the natural and social systems. However, the question arises: to what extent do natural sciences rely on social science research in their studies? Examining life science publications from seven PLoS journals, this paper attempts to characterize the volume and trajectory of citations from life sciences to social sciences. We explore three core questions: To what extent do life sciences cite social sciences? What actors in the life sciences are citing social sciences? Which actors in the social sciences are being cited? Our analysis estimates social sciences influence 15%–19% of life science publications, contributing to 1.1%–1.5% of references in 2018. Social science citers are found across peripheral and central topics of life science disciplines. Cited social science publications exhibit various levels of interdisciplinarity and achieve the greatest citation impact among peers. Citations to social sciences are prevalent in both theoretically and methodologically oriented sections. We show empirically the increasing impact of social sciences on the development of the life sciences.

Life scientists’ experience with posting preprints during the COVID-19 pandemic

AbstractIn the COVID-19 pandemic, it was much more critical for many life science researchers to rapidly disseminate research results—so they used preprints as upstream publication opportunities. This was rather new to the life sciences where preprint servers had only appeared as early as 2013. With a mixed-methods-study we examined this development and investigated whether preprint posting is a temporary phenomenon or the beginning of a cultural shift in publishing behavior in the life sciences. First, we conducted a survey of researchers who have posted COVID-19 related preprints. We investigated experiences with posting preprints during the COVID-19 pandemic, motivations for and concerns about posting preprints, the role of research institutions or funders, and the future of preprint publishing. Answers were grouped to compare differences between respondents’ gender, career stage, region of origin (global south or global north) and experience with posting preprints before and during the COVID-19 pandemic. We further analyzed eight popular preprint repositories regarding the number of posted preprints and preprint characteristics, such as the number of authors and citations. Interestingly, survey and preprint server analysis have presented different, if not contradicting results: While the majority of surveyed researchers was willing to continue posting preprints, the numbers of preprints published, especially on servers for the life sciences, have stagnated or declined. Also, while certain preprints garnered substantial citations during the COVID-19 pandemic, this has not resulted in a significant shift in researchers’ publishing behavior, and the posting of preprints has not become a routine. We concluded that the sustainability of preprint publishing practices is more strongly influenced by disciplinary norms and practices than by external shocks as the COVID-19 pandemic.

Experiences of Using a Real Compound Microscope and a Virtual Compound Microscope in Understanding Plant Tissues by First-year Life Science Students at a Tertiary Institution in South Africa

During the COVID-19 outbreak, the majority of tertiary institutions preferred virtual laboratories to face-to-face laboratories which posed a challenge to many students. The objective of the study was to examine students’ experiences at a higher institution using both a physical and virtual microscope. This qualitative study involved ten randomly chosen first-year Life Science students. They had to prepare and view onion cells under a real microscope, while the second assignment required them to observe onion cell preparation in a virtual laboratory. Students completed a questionnaire containing open-ended questions. The results were analyzed using themes, and the study found that pupils prefer physical microscopes to virtual microscopes. This is because students interact with the equipment in the laboratory, which encourages intellectual interests, knowledge sharing, and the development of social connections. Students can manipulate actual objects, manually focus microscopes, and interact in real time with microscopic worlds. This hands-on expertise is critical for instructing students and researchers on laboratory practices. Real microscopes are versatile pieces of equipment that can be utilized for a wide range of applications, from basic instruction to advanced research. Although virtual microscopes have advanced in terms of image quality, real microscopes provide better resolution and clarity. The study will make a substantial addition to university laboratory pedagogies and expose students to scientific investigations, given the majority of students come from rural schools with limited laboratory equipment such as microscopes. Keywords: Physical Microscope, Virtual Microscope, Experiences, Intellectual Interest, Social Interactions

Abstract LB236: Metabolically armed CD19 CAR-T cells for safe and effective treatment of relapsed or refractory CD19+ B cell hematological malignancies at extremely low doses

Abstract Background: The undeniable success of CD19 CAR-T cell therapy in managing relapsed or refractory (r/r) B-cell hematological malignancies, such as diffuse large B-cell lymphoma (DLBCL) and B-cell acute lymphoblastic leukemia (B-ALL), underscores its significance. Despite the favorable complete remission (CR) rates of around 50% for r/r DLBCL and up to 90% for r/r B-ALL, a notable challenge persists as more than half of patients experiencing CR after CD19 CAR-T cells treatment encounter relapse within a year, attributed to inadequate CAR-T persistence in both indications. Urgent attention is required to devise innovative strategies to overcome these challenges. Recently, we developed metabolically armed CD19 CAR-T cells expressing IL-10 can enhance OXPHOS metabolism, proliferation, and persistence of CAR-T cells in vivo. Significantly, these IL-10-expressing CAR-T cells trigger stem-like memory responses in various lymphoid organs, leading to robust tumor eradication and durable protection. Motivated by these promising findings, an open-label, single arm, investigator-initiated trial (IIT, ClinicalTrials.gov identifier: NCT05715606, NCT05747157) was conducted to assess the safety and efficacy of newly developed metabolically armed IL-10-expressing CD19 CAR-T (product name: Meta10-19 infusion) for treating patients with r/r DLBCL or r/r B-ALL. Method: From Feb 2023 to Dec 2023, this IIT clinical trial evaluated Meta10-19 infusion in adult patients with r/r DLBCL or r/r B-ALL. The patients were recruited and treated at the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China. Patients in 3 dose cohorts (2.0 × 104, 5.0 × 104, or 1.0 × 105 CAR-T cells/kg, corresponding to 1%, 2.5%, or 5% doses of commercialized CAR-T infusion) underwent lymphodepleting chemotherapy with cyclophosphamide and fludarabine before Meta10-19 infusion. The primary endpoint was the incidence of dose-limiting toxicities. The secondary endpoint was the response and survival. Results: The treatment with Meta10-19 infusion has successfully induced CR in all 12 cases of r/r DLBCL (n=6) or r/r B-ALL (n=6), as evaluated by PET-CT scan, NMR spectroscopy or minimal residual disease assessment of bone marrow. No server cytokine storm syndrome or neurotoxicity was observed. All treated patients achieved CR at 3 months post treatment, with the first patient maintaining continuous remission up to 9 months until now. Notably, these metabolically armed CD19 CAR-T cells demonstrated efficacy even for patients with bulky mass (≥7.5 cm) of DLBCL at extremely low infusion dose (1~5% doses of commercialized CAR-T). Conclusion: Preliminary findings suggest that Meta10-19 infusion exhibits promising breakthrough efficacy and safety profile, and active enrollment is ongoing to validate the initial results. Citation Format: Yugang Guo, Qianwen Xu, Lei Xue, Erling Chen, Chonglin Liu, Min Gao, Youjia Li, Jingjing Ren, Jinping Li, Li Tang, Xingbing Wang. Metabolically armed CD19 CAR-T cells for safe and effective treatment of relapsed or refractory CD19+ B cell hematological malignancies at extremely low doses [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(7_Suppl):Abstract nr LB236.

Research Ethics Committee and Integrity Board Members’ Collaborative Decision Making in Cases in a Training Setting

AbstractThis research focuses on how research ethics committee and integrity board members discuss and decide on solutions to case scenarios that involve a dimension of research ethics or integrity in collaborative settings. The cases involved issues around authorship, conflict of interest, disregard of good scientific practice and ethics review, and research with vulnerable populations (children and neonates). The cases were set in a university, a hospital, or a research institute. In the research, we used a deductive qualitative approach with thematic analysis. Twenty-seven research ethics committee and research integrity board members from 16 European countries and one country outside Europe participated. Participants represented natural and life sciences, social sciences, and humanities. They worked on cases involving ethical/integrity issues in six different constellations. Results show that experts apply key elements of ethical decision making, namely identification of ethical issues, stakeholders, guidelines, solutions, and own positionality, in dealing collaboratively with ethics/ integrity problems, and the nature of the application depends on the complexity of the case. Understanding how individuals knowledgeable in research ethics and integrity, in this case, individuals serving on research ethics committees and integrity boards, approach ethical/ moral issues can help to identify strategies that may be useful in the development of research ethics and integrity training for junior researchers who may benefit from learning professional strategies.

Application of Wireless Network Remote Sensing Image and Video Processing Technology in Smart City Design and planning

With the rapid development of society, regional urban construction has become the main guarantee of economic development, and smart city construction has become the main trend of regional development. Smart cities consist of information images and urban development, which can meet the needs of the modern generation for material life, knowledge and scientific life. Therefore, wireless remote sensing (RS) and video image processing have become key tools for the development of smart cities, which can solve the problems encountered by many professionals before, and become an integral part of urban construction. On this basis, this paper summarized the video processing image and wireless network RS image, and analyzed their development and application in urban design and layout. Based on this, this paper expounded the application of wireless network RS image in smart city design and layout, and analyzed the application prospects of RS technology in building smart city space-time information framework, RS+urban management, RS+smart environmental protection, RS+smart city agriculture and video processing technology in smart city design and planning. It analyzed the application in intelligent security, intelligent transportation and management visualization, and then used the two-dimensional discrete Fourier transform (2D-DFT) definition to strengthen the design and layout of smart cities. According to experiments and surveys, introducing 2D-DFT into the design and layout of smart cities can build a more intelligent city and improve residents’ satisfaction by 30%.

Interactions between bacteria and microalgae in microalgal-bacterial symbiotic wastewater treatment systems: mechanisms and influencing factors

Microalgal-bacterial symbiotic wastewater treatment systems (MBSWTSs) have received widespread attention due to their capacity to achieve high pollutant removal efficiency during wastewater treatment, with low energy consumption requirements, efficient carbon sequestration, and wastewater resource utilization. This paper provides an overview of the treatment performance and current research status of MBSWTSs, including a detailed summary of the mechanisms of nitrogen, phosphorus, and carbon removal by MBSWTSs and the interactions between bacteria and microalgae. In particular, this review focuses on the influence of operational parameters on the regulation of the symbiotic system, such as the microalgal:bacterial ratio, N:P ratio, external carbon source, dissolved oxygen concentration, aeration mode, and light availability. Among these factors, the microalgal:bacterial ratio, carbon source, and light availability have an important influence on microalgal-bacterial competition, as well as the trophic mode of the system, biomass production, and the capacity for the process to be practically applied on a large scale. MBSWTSs still have some challenging aspects that have hindered their development and application, such as the unknown mechanism of microalgal-bacterial co-metabolism, limited previous practical applications, algal contamination, and harvesting difficulties. To overcome these challenges, future research requires a multidisciplinary approach, incorporating life sciences, material science, and other disciplines. Comprehensive research should be conducted on the metabolic mechanisms of MBSWTSs, the optimization of process performance and waste resource utilization, providing a theoretical and practical foundation for the practical application of MBSWTSs.

Rethinking 13C-metabolic flux analysis – The Bayesian way of flux inference

Metabolic reaction rates (fluxes) play a crucial role in comprehending cellular phenotypes and are essential in areas such as metabolic engineering, biotechnology, and biomedical research. The state-of-the-art technique for estimating fluxes is metabolic flux analysis using isotopic labelling (13C-MFA), which uses a dataset-model combination to determine the fluxes. Bayesian statistical methods are gaining popularity in the field of life sciences, but the use of 13C-MFA is still dominated by conventional best-fit approaches. The slow take-up of Bayesian approaches is, at least partly, due to the unfamiliarity of Bayesian methods to metabolic engineering researchers. To address this unfamiliarity, we here outline similarities and differences between the two approaches and highlight particular advantages of the Bayesian way of flux analysis. With a real-life example, re-analysing a moderately informative labelling dataset of E. coli, we identify situations in which Bayesian methods are advantageous and more informative, pointing to potential pitfalls of current 13C-MFA evaluation approaches. We propose the use of Bayesian model averaging (BMA) for flux inference as a means of overcoming the problem of model uncertainty through its tendency to assign low probabilities to both, models that are unsupported by data, and models that are overly complex. In this capacity, BMA resembles a tempered Ockham's razor. With the tempered razor as a guide, BMA-based 13C-MFA alleviates the problem of model selection uncertainty and is thereby capable of becoming a game changer for metabolic engineering by uncovering new insights and inspiring novel approaches.

Sonicated polyethylene terephthalate nano- and micro-plastic-induced inflammation, oxidative stress, and autophagy in vitro

The environmental presence of nano- and micro-plastic particles (NMPs) is suspected to have a negative impact on human health. Environmental NMPs are difficult to sample and use in life science research, while commercially available plastic particles are too morphologically uniform. Additionally, this NMPs exposure exhibited biological effects, including cell internalization, oxidative stress, inflammation, cellular adaptation, and genotoxicity. Therefore, developing new methods for producing heterogenous NMPs as observed in the environment is important as reference materials for research. Thus, we aimed to generate and characterize NMPs suspensions using a modified ultrasonic protocol and to investigate their biological effects after exposure to different human cell lines. To this end, we produced polyethylene terephthalate (PET) NMPs suspensions and characterized the particles by dynamic light scattering and scanning electron microscopy. Ultrasound treatment induced polymer degradation into smaller and heterogeneous PET NMPs shape fragments with similar surface chemistry before and after treatment. A polydisperse suspension of PET NMPs with 781 nm in average size and negative surface charge was generated. Then, the PET NMPs were cultured with two human cell lines, A549 (lung) and HaCaT (skin), addressing inhalation and topical exposure routes. Both cell lines interacted with and have taken up PET NMPs as quantified via cellular granularity assay. A549 but not HaCaT cell metabolism, viability, and cell death were affected by PET NMPs. In HaCaT keratinocytes, large PET NMPs provoked genotoxic effects. In both cell lines, PET NMPs exposure affected oxidative stress, cytokine release, and cell morphology, independently of concentration, which we could relate mechanistically to Nrf2 and autophagy activation. Collectively, we present a new PET NMP generation model suitable for studying the environmental and biological consequences of exposure to this polymer.

Packaging and containerization of computational methods.

Methods for analyzing the full complement of a biomolecule type, e.g., proteomics or metabolomics, generate large amounts of complex data. The software tools used to analyze omics data have reshaped the landscape of modern biology and become an essential component of biomedical research. These tools are themselves quite complex and often require the installation of other supporting software, libraries and/or databases. A researcher may also be using multiple different tools that require different versions of the same supporting materials. The increasing dependence of biomedical scientists on these powerful tools creates a need for easier installation and greater usability. Packaging and containerization are different approaches to satisfy this need by delivering omics tools already wrapped in additional software that makes the tools easier to install and use. In this systematic review, we describe and compare the features of prominent packaging and containerization platforms. We outline the challenges, advantages and limitations of each approach and some of the most widely used platforms from the perspectives of users, software developers and system administrators. We also propose principles to make the distribution of omics software more sustainable and robust to increase the reproducibility of biomedical and life science research.

Molecular profiling and the impact of treatment on outcomes in adenoid cystic carcinoma (ACC) type-I and II.

Adenoid cystic carcinoma (ACC) is an uncommon salivary gland cancer with no approved therapies available to treat advanced, incurable disease. Recent molecular profiling efforts have identified two important subtypes: the more aggressive ACC-I is characterized by Notch pathway alterations and MYC amplification while ACC-II demonstrates a more indolent phenotype and TP63 overexpression. This retrospective observational cohort study involved de-identified samples from 438 ACC patients with tumor samples sent for commercially-available molecular profiling (Caris Life Sciences). Next-generation whole-exome and whole-transcriptomic sequencing was performed on primary and metastatic samples. Immunostaining for PD-L1 and RNA deconvolution (quanTIseq) was used to explore the tumor immune microenvironment (TME). Real-world clinical and survival outcome metrics were extracted from insurance claims data. MYC expression was 1.61-fold higher (39.8 vs. 24.7, p<0.0001) among NOTCH1-mutant ACC-I tumors, while MYB/L1 fusion rates were similar among ACC-I/II. The median B cell fraction in the TME was higher among ACC-II (7.1 vs. 5.8%; p<0.01), though infiltrating T cells subsets were low among either ACC subgroup (both <1%). When pooling systemic treatment categories, ACC-I patients had worse outcomes with available therapies (HR 3.06, 95%CI 1.65-5.68; p<0.01), with no significant difference in overall survival between ACC-I/II based on chemotherapy or VEGFR tyrosine kinase inhibitor exposure in smaller subsets. We confirmed the previously reported associations with MYC and TP63 in the prognostically relevant subgroups of ACC-I and II, respectively, and report immunologic differences among these subtypes. Survival outcomes are comparatively worse in ACC-I regardless of treatment type.

Introduction to: The Rise of the Well-Being, Happiness, and Fulfillment Driven Organization

In this editorial we introduce the second of three special issues in the "Science of Life and Well-Being: A New Language for Humanity" series. The articles in this special issue provide insightful and helpful perspectives on the overall path toward a more flourishing future through organizations that prioritize well-being, happiness, and fulfillment.

GO@ZnO/CuO sensitive selective detection of lactic acid photoelectrochemistry design of sensors

The photoelectrochemical lactate sensor is a sensor that integrates electrochemical and optoelectronic principles for detecting lactate concentration. Lactic acid is a metabolic product in organisms, and its concentration changes are closely related to the health status of the body. The development of highly sensitive and selective lactic acid sensors is of great significance for fields such as medical diagnosis, exercise physiology, and the food industry. This study used a simple hydrothermal method to prepare CuO and ZnO composite electrodes, with GO flake structures covering the surface of nanoparticles, providing a larger surface area and enhanced interaction. Advanced nanomaterials were used as the working electrode materials for electrochemical sensors, which generate current signals through specific reactions with lactic acid to enhance the sensitivity and stability of the sensors. The limit of detection (LOD) is 0.203 mM. Efficient monitoring of lactate concentration provides a novel and multifunctional method, which is of great significance for promoting research in the fields of medicine and life sciences.

Nanoprinted microstructure-assisted light incoupling into high-numerical aperture multimode fibers.

The coupling of light into optical fibers is limited by the numerical aperture (NA). Here, we show that large-area polymer axial-symmetric microstructures printed on silica multimode fibers improve their incoupling performance by two to three orders of magnitude beyond the numerical aperture limit. A ray-optical mathematical model describing the impact of the grating-assisted light coupling complements the experimental investigation. This study clearly demonstrates the improvement of incoupling performance by nanoprinting microstructures on fibers, opening new horizons, to the best of our knowledge, for multimode fiber applications in life sciences, quantum technologies, and "lab-on-fiber" devices.

Front Cover

Journal of Biophotonics focuses on the interdisciplinary field of biophotonics, publishing cutting‐edge research on interactions between light and biological material. The journal covers photonics research in areas such as life sciences, medicine and biomedicine, environmental science, nutrition, biology, physics, and chemistry, ranging from fundamental research to the latest clinical applications.image

Novel liquid dosimeters for low-energy electron beam irradiation in low and medium dose ranges

Low-energy electron beam irradiation, which refers to the treatment of matter with accelerated electrons at energies below 300 keV, is gaining attention for many applications in life sciences. In the scope of vaccine production, low-energy electron irradiation is an efficient and chemical free technology to inactivate viruses. Low-energy electron beam irradiation has also been proposed to be a powerful technique for its use in biotechnological processes. As biotechnological applications operate in an aqueous environment, there is an urgent need for accurate dose quantification in liquids, especially for low (< 500 Gy) and medium doses (500–5000 Gy). This study investigated dye solutions of xylenol orange tetrasodium, 1,9-dimethylmethylene blue, resazurin sodium, and tartrazine for their suitability as radiochromic liquid dosimeters. The solutions were evaluated regarding their dose–response characteristics and storage stability prior to irradiation over a range of pH values and concentrations. The radiochromic dosimeters were irradiated with electrons with maximal energies of 200 keV and dose rates of 6.5 Gy/s to 45 Gy/s. Then, the absorbance was measured and response curves were plotted. The dye solutions of 1,9-dimethylmethylene blue and resazurin sodium covered a low to medium dose range from 100–1500 Gy and 100–1000 Gy, respectively. Tartrazine at pH 4 was suitable for quantification of doses from 100 Gy to 3500 Gy, which covers a wide dose range of biotechnological applications.

Cover Picture: Engineering in Life Sciences 4'24

Cover Picture: Engineering in Life Sciences 4'24

Enhanced upconversion luminescence of NaYF4:Er nanocrystals based on the synergy between whispering gallery mode excitation and förster resonant energy transfer

The upconversion luminescence at the visible band was excited by the high power density whispering gallery mode (WGM) on the surface of the microsphere. Under the WGM excitation, Er3+ of NaYF4:Er3+ directly absorbed three photons at 1525 nm, followed by the generation of upconversion luminescence. We used WS2 quantum dots (QDs) as donors and NaYF4:Er3+ upconversion nanoparticles (UCNPs) as acceptors to enhance upconversion luminescence by Förster resonant energy transfer (FRET). The physical mixture composed of monolayer WS2 and NaYF4:Er3+ nanoparticles was coated on SiO2 microsphere by immersion method. Excited by high power density WGM, three photons were absorbed by WS2-QDs based on the quantum size effect to generate excited electrons as donors and UCNPs as acceptors based on FRET, subsequently, the energy of the electrons were transferred to the luminescence center Er3+ to improve the upconversion luminescence efficiency. The mechanism model of upconversion luminescence enhancement based on FRET of WS2–NaYF4:Er3+ was proposed, and the enhancement effect was experimentally studied and demonstrated. To study the distance dependence of energy transfer between QD and UCNP pairs, we covered the surface of the silica microsphere with a controlled concentration of WS2 mixed with NaYF4:Er3+ nano-particles. When the mixed concentration of WS2-QDs was 0.15%, the upconversion luminescence reached the highest efficiency. The results showed that a twofold upconversion luminescence enhancement can be experimentally achieved. The proposed approach for enhancing the upconversion luminescence could benefit the improvement of imaging signal-to-noise ratio (SNR) using UCNPs for fluorescent labels in life sciences.

Insights into interaction of triazine herbicides with three kinds of different alkyl groups (simetryne, ametryn and terbutryn) with human serum albumin via multi-spectral analysis

In this study, the interaction of triazine herbicides with three kinds of different alkyl groups (simetryne, ametryn and terbutryn) with human serum albumin (HSA) are investigated through UV–vis, fluorescence, and circular dichroism (CD) spectra. The mechanisms on the fluorescence quenching of HSA initiated by triazine herbicides are obtained using Stern-Volmer, Lineweaver-Burk and Double logarithm equations. The quenching rate constant (Kq), Stern-Volmer quenching constant (Ksv), binding constant (KA), thermodynamic parameters such as enthalpy change (∆H), entropy change (∆S) and Gibbs free energy (∆G) and number of binding site (n) are calculated and compared. The variations in the microenvironment of amino acid residues are studied by synchronous fluorescence spectroscopy. The binding sites and subdomains are identified using warfarin and ibuprofen as site probes. The conformational changes of HSA are measured using CD spectra. The results reveal that the triazine herbicides with different alkyl groups can interact with HSA by static quenching. The combination of the three herbicides and HSA are equally proportional, and the binding processes are spontaneous. Hydrophobic interaction forces play important roles in simetryne-HSA and ametryn-HSA, while the interaction of terbutryn-HSA is Van der Waals forces and hydrogen bonding. Moreover, the three herbicides can bind to HSA at site I (sub-domain IIA) more than site II (subdomain IIIA), and combine with tryptophan (Trp) more easily than tyrosine (Tyr) residues, respectively. By comparison, the order of interaction strength is terbutryn-HSA > ametryn-HSA > simetryne-HSA. Terbutryn can destroy the secondary structure of HSA more than simetryne and ametryn, and the potential toxicity of terbutryn is higher. It is expected that the interactions of triazine herbicides with HSA via multi-spectral analysis can offer some valuable information for studying the toxicity and the harm of triazine herbicides on human health at molecular level in life science.

Ethical Considerations in Animal Research: A Focus on China

Laboratory animals have played an indispensable role in advancing human knowledge and serve as essential subjects for generating reliable and precise outcomes in life science research. However, the ethical quandaries associated with animal testing, including issues related to their treatment and welfare, demand careful consideration. Similar to numerous developed nations, China has dedicated significant efforts to the protection of laboratory animals. This paper primarily examines China's legislative modifications concerning animal experiments within the cosmetic industry, conducts an ethical analysis of these legislative changes, and applies the 3Rs (Replace, Reduce, Refine) framework to propose practical recommendations for improving China's approach in this context.