Rapid Development Research Articles

Produce low-CO2 silica fume hybrid high-strength concrete using dry ice (solid CO2) as a CO2-utilized admixture

Concerns about high-strength concrete (HSC) have increasingly grown in tandem with the building industry's rapid development. However, the high CO2 emissions, high hydration heat, and high autogenous shrinkage of HSCs considered key issues that limit their wide application. In this study, various proportions of dry ice (solid CO2) were added to concrete to optimize HSC. The test results indicated that adding solid CO2 decreased the hydration heat and autogenous shrinkage and increased the mechanical properties and surface electrical resistivity of HSC. This is primarily attributed to the physical and chemical effects of solid CO2 in HSC curing. At 28 d of curing, the sample containing 3 wt.% solid CO2 exhibited the most significant optimization effect. This is attributed to the fact that, at lower solid CO2 content (3%), the production of carbonation products compensates for the loss of strength caused by the reduction of hydration products. In addition, the addition of solid CO2 caused a decrease in the initial temperature, which delayed the hydration reaction and reduced the autogenous shrinkage. Adding solid CO2 led to an increase in acidity and promoted the formation of AFt, further reducing the autogenous shrinkage. And the more solid CO2 added, the greater the reduction in CO2 emissions for the mixture. Therefore, adding solid CO2 can play a role in optimizing the performance and promoting the sustainability of HSC and can contribute to the objectives of low CO2 emissions, low hydration heat, and low autogenous shrinkage of HSC.

Hybrid model: IndoBERT and long short-term memory for detecting Indonesian hoax news

The world has entered an era that technology has developed far. Due to rapid technological development, information is easily spread. However, not all information spread through social media is factual information. Responding to this social phenomenon, we initiated to create a hoax detection system using the combined method of Indo bidirectional encoder representations from transformers (IndoBERT) and long short-term memory (LSTM). The dataset used in this study are obtained through the process scraping on the site turnbackhoax.id and cable news network (CNN) Indonesia. We decided to use the IndoBERT-LSTM method to detect hoaxes, using IndoBERT as the feature extractor and LSTM as the classification layer can be an effective method because of its advantages in managing and understanding Indonesian language. The results show that the IndoBERT-LSTM model achieved an accuracy of 93.2%, precision of 92%, recall of 89.7%, and F1-score of 90,8%. From a total of 5876 data composed of a total of 1998 factual news and 3878 hoax data. The hoax detection system using IndoBERT-LSTM is a promising approach for detecting hoaxes accurately and efficiently. This model has the potential to make a significant impact in the fight against the spread of Hoaxes.

Irrigation of young grapefruits with desalinated seawater: agronomic and economic outcomes

Given the current scarcity of freshwater resources, it is imperative to explore new agricultural management options to sustainably enhance food production. Desalinated seawater (DSW) presents a promising solution for irrigation in water-stressed regions. However, its application in perennial crops has been poorly assessed, potentially posing challenges to existing cultivation practices due to higher associated costs, salinity, and the presence of potentially harmful elements, notably boron (B). To address these uncertainties, a three-year experiment was conducted to evaluate the short-term effects of irrigation with DSW on a ‘Rio Red’ grapefruit orchard. Four irrigation treatments were assessed: DSW, freshwater (FW), a 1:1 mixture of DSW and FW (MW), and DSW with reduced B concentration (DSW–B). At present, the young age of the trees (3.5 years) and their grafting onto a five-year-old rootstock at the beginning of the experiment likely facilitated rapid foliar mass development and prevented the accumulation of phytotoxic elements up to critical levels. However, local DSW consistently exceeded recommended citrus thresholds for B (0.5mgL–1), sodium (Na+; 115mgL–1), and chloride (Cl–; 250mgL–1) in irrigation water, resulting in significant concentrations of B (2.1mgkg–1), Na+ (504mgL–1) and Cl– (476mgL–1) in soil. Moreover, these levels led to concentrations in leaves close to defined thresholds in the case of Na+ (0.25g 100g–1), and exceeded them in the case of B (>250mgkg–1). Although fruit quality remained unaffected, variability in yield among trees and the cost disparity between water resources, resulted in slight fluctuations in the income-outcome balance during initial cultivation years. Our findings offer insights into the irrigation of sensitive crops with DSW, aimed at mitigating potential soil and plant harm from early accumulation of phytotoxic elements. Further research is warranted to explore the impact of both single and sustained DSW usage for irrigation purposes.

Modern and comprehensive soil studies in grape agrocenoses in Azerbaijan

The article presents some results of a comparative analysis of the agrochemical, microbiological, and environmental properties of grape plants and soil types common in regions located on the slopes of the Lesser Caucasus. The objectives of this study were to assess the current state and quality of soils used for vineyards in some villages of the Ganja-Kazakh economic region, taking into account the long-term use of fertilizers and chemicals to protect plantations from various diseases for the resulting wine materials. Growing and exporting grapes is of great importance for the development of the economy of the Republic of Azerbaijan. Since it is a break-even plant, expanding the area under grapes to attract wetlands to agriculture has been an important issue for soil scientists in recent years. During the period of rapid development of viticulture in the republic, ensuring rapid harvesting and longevity of vineyards is one of the important scientific and practical tasks.

Relationship between the concepts of “Digital transformation” and “Industry 5.0”: bibliometric analysis

At the current stage of transformational transformations, the problems of transformation of the national economy are extremely relevant. And these questions are especially relevant in the conditions of rapid development of the digital economy. According to estimates by Forbes experts, 67% of the leaders of companies from the Global 2000 list chose digital transformation as a priority goal of their corporate strategy in 2018. According to a study by analysts International Data Corporation, the total global spending on digital technologies will grow by 16.8% annually and amounted to 2.1 trillion dollars in 2019. Research by Huawei and Oxford Economics has shown that intelligent network interaction will trigger the growth of the digital economy, which will reach 23 trillion dollars by 2025. This increase will be 78.3% compared to 2017 (12.9 trillion dollars). By 2025, the share of the digital economy is planned to increase by 7.2 percentage points, or from 17.1 to 24.3% of global GDP. According to the calculations of The Boston Consulting Group experts, the volume of the digital economy by 2035 will amount to 16 trillion dollars USA. In view of this, the purpose of this study is to determine the trends and key directions of digital transformation research in the era of Industry 5.0 based on bibliometric analysis using the VOSviewer software. The article carries out a bibliometric analysis of the relationship between the terms “digital transformation”, “digitalization”,”Industry 4.0”, “Industry 5.0”. It has been established that currently the problems of the digital transformation of the economy in the context of the implementation of the digital strategy of the European Union are gaining special relevance. Digital transformation is a key component of the overall strategy to transform the global economy. Correctly selected digital technologies combined with employee competencies, processes and operations will allow companies to quickly adapt to crisis situations, use promising opportunities to modernize work processes, meet new and constantly changing customer needs, stimulate growth and implement innovative and management solutions. The concept of digital transformation of the national economy in the context of Industry 5.0 should involve the use of digital tools and platforms to transform traditional business processes, improve interaction with customers, introduce innovative technologies and form a digital ecosystem. The main components of the digital transformation of critical infrastructure include: digital technologies (cloud computing, artificial intelligence, big data analytics and the Internet of Things (IoT); organizational changes (restructuring of processes to increase their flexibility, introduction of new methodologies (DevOps, Agile), formation of a digital culture); customer orientation and integration of digital channels. For effective digital transformation of the economy on a practical level, it is advisable to pay attention to such main aspects as: having a clear vision and strategy that meets business goals; involving different groups of stakeholders and ensuring the interest of the entire organization; constant monitoring and evaluation of the implementation of digital transformation initiatives; an adaptive and iterative approach that allows you to navigate the changing digital landscape. It has been proven that the priority direction of research in the future should be the substantiation of the theoretical and methodological provisions of the formation of the digital ecosystem.

Advances in Skull Base Reconstruction After Transnasal Endoscopy

Endoscopic transnasal approach have experienced rapid development and gradual maturation in just a few decades (Kassam AB, Prevedello DM, Carrau RL, et al, 2011; Eloy J A, Vivero R J, Hoang K, et al, 2009). It has expanded from the removal of conventional pituitary tumours to the application of an endoscopic extended transsphenoidal approach for the resection of tumours in the intrasellar, suprasellar and even ventricular systems (Cappabianca P, Cavallo L M, Esposito F, et al, 2008). Larger bone and dural defects at the skull base, causing more severe postoperative complications and resulting in a multiplication of the healthcare burden (Eloy J A, Shukla P A, Choudhry O J, et al, 2013). Skull base Reconstruction after tumour removal has become a great challenge. Currently, skull base reconstruction is mainly divided into soft and rigid reconstruction, and soft reconstruction is represented by the technique of pedicled nasal septum mucosal flap (PNSF) (Thorp B D, Sreenath S B, Ebert C S, et al, 2014)0. As for rigid reconstruction, it is still controversial (Shin J, Forbes J, Lehner K, et al, 2019; Eloy J A, Shukla P A, Choudhry O J, et al, 2012). From the current studies, rigid reconstruction has a role that cannot be ignored. In this article, we will describe the development of skull base surgery and several high-profile skull base reconstruction techniques.

ISight - Navigable Path Detection for Visually Impaired using Semantic Segmentation

Abstract: This project introduces a new educational service that uses machine learning algorithms in Python and the OpenCV library to detect and prevent tampering, providing blind people with better freedom and personal security. Thanks to the integration of real-time detection equipment, the system can identify various hazards in different locations without using conventional equipment. Topics covered include optimizing algorithms for immediate use and maximizing efficiency for portable devices. Python supports rapid development, while OpenCV's modularity enables scalable development. This approach performs existing processes accurately, quickly and efficiently, using flexible methods for continuous improvement. Future developments include the integration of advanced learning models and user insights to provide more accurate feedback and pave the way for new products.

Application and challenge of pathomics technique in the management of hepatocellular carcinoma

The incidence and mortality rate of hepatocellular carcinoma rank among the top of all cancer types,seriously threatening the life and health of human beings. In recent years,the rapid development of artificial intelligence and the deepening of the concept of precision medicine have led to a boom in interdisciplinary research. Pathomics,as an emerging omics technology driven by artificial intelligence,can mine massive information from high-resolution whole slide images,and shows broad application prospects in the diagnosis,treatment and prognosis assessment of hepatocellular carcinoma. However, pathomics research in hepatocellular carcinoma is still in its infancy, and its research patterns and clinical applications still face several controversies and challenges, including data security, ethics, and "black box" issues. Future research should focus on conducting prospective studies, integrating multimodal data, improving computational technologies, and establishing professional standards to promote the high-quality development of pathomics technology in both clinical and basic research of hepatocellular carcinoma.

What to do With Cross-Border Environmental Pollution: Legislative Aspects

Abstract – Environmental torts and possibility of trans-border dispute settlement thereof has gained significant prominence in the recent years. Cases such as Urgenda foundation v the State of the Netherlends, Milieudefensie et al. v. Royal Dutch Shell plc., ClientEarth v. Enea, Neubauer et al. v. Germany demonstrate that environmental tort cases can be brought by stakeholders globally rather than relying on involvement of a relevant national responsible authority. EU climate policy of decreasing GHG emissions and the ambitious target of reaching climate neutrality by 2050 has resulted in a rapid development of environmental law. Thus, environmental regulation is becoming increasingly complex and possible breaches may cause serious legal consequences affecting everyone not just selected individuals or states. These developments could possibly lead to a necessity of a forum or rules where any natural person or an NGO could bring a claim against a state or multinational corporation which engages in illegal activities causing harm the environment on a global scale. Using litigation as a tool to empower society to stand against environmental wrongdoers may serve as a deterring factor to maintain order when it comes to environmental regulation. While such reasoning may seem farfetched and extreme, nevertheless it still raises a question of current regulation on determination of jurisdiction and the applicable law and whether it would be possible to benefit from developing these rules. By engaging in a systematic literature analysis identifying the relevant terms, the research shall explore the basic principles of private international law in relation to assigning jurisdiction and determining applicable law in claims concerning environmental torts. The research shall develop a methodology with the aim of covering and identifying a wider range of problems related to the determination of jurisdiction and application of law in cross-border environmental tort claims. Some of the main issues concern the determination of defendants in cases involving multinational corporations, multi-claimant cases, and the compensation of indirect damages. An exploration of material aspects in the developments of the current EU regulation and guidelines shall be analysed in conjunction with the aforementioned notion. The result of the study not only will reflect the specifics of the application of the Brussels Ibis Regulation and Rome II regulation in cross-border environmental torts, but also how the EU environmental regulation could potentially promote corporate responsibility and environmental protection. Thus, developing research on interaction between private international law and environmental law. Keywords - environmental tort, SEG emissions, jurisdiction, applicable law, cross-border pollution

Bibliometrics analysis of hotspots research on infertility syndromes and polystyrene.

Polystyrene plastic pollution poses a pressing environmental concern and represents a significant risk factor for infertility. Despite this, a comprehensive overview of the field remains scarce, with future trends largely unknown. Bibliometrics, an applied mathematical and statistical method, offers a means to analyze textual information across various levels, facilitating quantitative assessments of all knowledge carriers and unveiling the nature and developmental trajectories of a discipline. This study aimed to employ bibliometric methods to scrutinize the current status and research hotspots within the realm of polystyrene and infertility. Literature spanning from 1980 to 2023 pertaining to polystyrene and infertility was retrieved from the core database of Web of Science. Quantitative analyses were conducted utilizing CiteSpace (version 5.7.R7), VOSviewer (version 1.6.18.0), and an online literature analysis website (https://bibliometric.com/). The analysis visually represented countries, institutions, authors, journals, and keywords within the field. This study delved into the development history, knowledge structure, research hotspots, and potential trends in the field, furnishing a macro perspective for researchers. The investigation encompassed 267 articles published across 120 journals by 1,352 authors affiliated with 417 institutions in 51 countries, with these articles garnering 10,310 citations across 2,811 journals. The top three countries contributing the most articles were China, the United States, and Germany. In essence, the research hotspots primarily revolved around metabolism, endocrinology, and immunity. Despite China's relatively recent entry into this field, its rapid development is evident. However, the low citation frequency suggests a need for improved article quality.

Spatio-temporal variations of habitat quality in the Greater Bay Area around Hangzhou Bay, based on LUCC and simulation

Context Habitat quality (HQ) is vital for achieving sustainable regional development. Understanding the spatial patterns and temporal evolution of HQ in the context of land use–cover change (LUCC) is crucial for promoting ecological civilisation and high-quality growth, especially for regions with rapid economic development. Aims In order to analyse the impact of LUCC on habitat quality in the coastal areas with frequent human activities. Methods This study focused on the Greater Bay Area around Hangzhou Bay and analysed the HQ on the basis of LUCC data during 2010–2020 by using the InVEST model and spatial autocorrelation analysis. Additionally, land-use data for multiple scenarios in 2030 were predicted using the PLUS model, and the variations in land use and HQ in the study region during 2020–2030 were assessed. Key results During 2010–2020, the construction land in the region expanded by 1932.79 km2, primarily at the expense of cropland and water areas. The mean HQ values were 0.6287, 0.6181 and 0.6037 for 2010, 2015 and 2020 respectively, indicating a continuous decline. Spatially, HQ exhibited strong clustering during this period. However, there was a clear trend of fragmentation and reduction in ‘high–high’ cluster areas along the coast, mostly owing to the transformation of water areas and wetlands into construction land and cropland. In the projected scenarios (natural development, ND; economic development, ED; crop protection, CP; and ecological protection, EP) for 2030, the mean HQ values are estimated to be 0.5881, 0.5837, 0.5915 and 0.5965 respectively. Compared with 2020, there will be a certain decrease in HQ, with the EP scenario showing the lowest decrease of 0.0052. Conclusions The HQ changes were closely linked to LUCC, the construction-land expansion was the main cause of HQ destruction in the Greater Bay Area around Hangzhou Bay. To alleviate the trend of declining HQ, it is essential to select appropriate development scenarios for each city in the region and coordinate the development of the cities. Implications These findings provide valuable insights for promoting sustainable economic growth in the Greater Bay Area around Hangzhou Bay.

Acute effects of different types of cannabis on young adult and adolescent resting-state brain networks.

Adolescence is a time of rapid neurodevelopment and the endocannabinoid system is particularly prone to change during this time. Cannabis is a commonly used drug with a particularly high prevalence of use among adolescents. The two predominant phytocannabinoids are Delta-9-tetrahydrocannabinol (THC) and cannabidiol (CBD), which affect the endocannabinoid system. It is unknown whether this period of rapid development makes adolescents more or less vulnerable to the effects of cannabis on brain-network connectivity, and whether CBD may attenuate the effects of THC. Using fMRI, we explored the impact of vaporized cannabis (placebo, THC: 8 mg/75 kg, THC + CBD: 8 mg/75 kg THC & 24 mg/75 kg CBD) on resting-state networks in groups of semi-regular cannabis users (usage frequency between 0.5 and 3 days/week), consisting of 22 adolescents (16-17 years) and 24 young adults (26-29 years) matched for cannabis use frequency. Cannabis caused reductions in within-network connectivity in the default mode (F[2,88] = 3.97, P = 0.022, η² = 0.018), executive control (F[2,88] = 18.62, P < 0.001, η² = 0.123), salience (F[2,88] = 12.12, P < 0.001, η² = 0.076), hippocampal (F[2,88] = 14.65, P < 0.001, η² = 0.087), and limbic striatal (F[2,88] = 16.19, P < 0.001, η² = 0.102) networks compared to placebo. Whole-brain analysis showed cannabis significantly disrupted functional connectivity with cortical regions and the executive control, salience, hippocampal, and limbic striatal networks compared to placebo. CBD did not counteract THC's effects and further reduced connectivity both within networks and the whole brain. While age-related differences were observed, there were no interactions between age group and cannabis treatment in any brain network. Overall, these results challenge the assumption that CBD can make cannabis safer, as CBD did not attenuate THC effects (and in some cases potentiated them); furthermore, they show that cannabis causes similar disruption to resting-state connectivity in the adolescent and adult brain.

Bio-inspired synthesis of silver nanoparticles usingsalsola imbricataand its application as antibacterial additive in glass ionomer cement.

Nanotechnology has gained immense popularity and observed rapid development due to the remarkable physio-chemical properties of nanoparticles (NPs) and related nanomaterials. The green production of nanoparticles has many benefits over traditional techniques because the current procedures are expensive, time-consuming, and involve harmful substances that limit their applicability. This study aimed to use a novel green source, the Salsola imbricata (SI) plant, which is commonly found in Central Asia and known for its medicinal properties as a reducing and stabilizing agent for the synthesis of AgNPs. The current study also utilized efficient statistical design, the Plackett-Burman Design of Experiment (DOE) method to synthesize the nanoparticles. The characterization of nanoparticles was carried out using UV-Vis spectroscopy, Fourier Transform Infrared Spectroscopy, and scanning electron microscopy (SEM). The Plackett-Burman design results showed that only two out of four factors i.e., AgNO3 concentration and incubation time, were significant for the synthesis of AgNPs. While remaining factors, incubation temperature and plant extract: AgNO3 ratio were non-significant. The SEM analysis result showed that SI-AgNPs had a size of 20-50nm. The SI-AgNPs demonstrated strong antimicrobial activity against oral pathogens such as Streptococcus mutans and Lactobacillus acidophilus, with the highest efficacy observed at a concentration of 2 mg/ml. The addition of SI-AgNPs in glass ionomer cement significantly increased the antimicrobial efficacy of GIC at different concentration (p≤0.000 for 0.2% and 0.1%, p≤0.01 for 0.05% and p≤0.05 for 0.025% respectively). Based on the results of the current study, the plant based AgNPs can be further evaluated in detail as alternate antimicrobial agent either alone or in combination with other antimicrobial agents for different dental applications.

Contrast enhancement algorithm for infrared images based on atmospheric scattering model

With the rapid development of infrared technology, infrared cameras are widely used in the military, medical, and industrial fields. However, the thermal radiation information received by infrared cameras often undergoes degradation due to random factors such as scattering or reflection during transmission. Consequently, the final infrared image suffers from poor contrast and blurred vision. To address these problems, this paper proposes an infrared image contrast enhancement algorithm based on the atmospheric scattering model. Firstly, we modify the hypothesis of the dark channel prior theory, and the pseudo dark channel prior theory is deduced to meet the processing requirements of single-channel images. Secondly, we propose anti-target interference and filtering threshold method to accurately estimate the atmospheric illumination value and transmittance of the atmospheric scattering model. These methods effectively mitigate the influence of infrared targets on the atmospheric illumination value and eliminate the blocking artifact effect caused by pixel value jumps in the transmittance images. Furthermore, we employ adaptive histogram equalization with contrast limitation, highlighting the global contrast. This paper conducts experiments on the M3FD dataset and employs objective evaluations using Visible Edge (E), Figure Definition (FD), Peak Signal-to-Noise Ratio (PSNR), Information Entropy (IE), Structure Similarity Index Measure (SSIM), and Visual Information Fidelity (VIF). The results indicate that the proposed algorithm enhances the overall contrast of images while highlighting fine texture details, exhibiting good visual effects. Both subjective and objective evaluations outperform seven other contrast algorithms, demonstrating the effectiveness of the proposed method.

Synthesis and Antifungal Activities of Novel Griseofulvin Derivatives as Potential Anti-Phytopathogenic Fungi Agents.

The extensive and repeated application of chemical fungicides results in the rapid development of fungicide resistance. Novel antifungal pesticides are urgently required. Natural products have been considered precious sources of pesticides. It is necessary to discover antifungal pesticides by using natural products. Herein, 42 various griseofulvin derivatives were synthesized. Their antifungal activities were evaluated in vitro. Most of them showed good antifungal activity, especially 3d exhibited a very broad antifungal spectrum and the most significant activities against 7 phytopathogenic fungi. In vivo activity results suggested that 3d protected apples and tomatoes from serious infection by phytopathogenic fungi. These proved that 3d had the potential to be a natural product-derived antiphytopathogenic fungi agent. Furthermore, docking analysis suggested that tubulin might be one of the action sites of 3d. It is reasonable to believe that griseofulvin derivatives are worth further development for the discovery of new pesticides.

Detecting Road Intersections from Crowdsourced Trajectory Data Based on Improved YOLOv5 Model

In recent years, the rapid development of autonomous driving and intelligent driver assistance has brought about urgent demands on high-precision road maps. However, traditional road map production methods mainly rely on professional survey technologies, such as remote sensing and mobile mapping, which suffer from high costs, object occlusions, and long updating cycles. In the era of ubiquitous mapping, crowdsourced trajectory data offer a new and low-cost data resource for the production and updating of high-precision road maps. Meanwhile, as key nodes in the transportation network, maintaining the currency and integrity of road intersection data is the primary task in enhancing map updates. In this paper, we propose a novel approach for detecting road intersections based on crowdsourced trajectory data by introducing an attention mechanism and modifying the loss function in the YOLOv5 model. The proposed method encompasses two key steps of training data preparation and improved YOLOv5s model construction. Multi-scale training processing is first adopted to prepare a rich and diverse sample dataset, including various kinds and different sizes of road intersections. Particularly to enhance the model’s detection performance, we inserted convolutional attention mechanism modules into the original YOLOv5 and integrated other alternative confidence loss functions and localization loss functions. The experimental results demonstrate that the improved YOLOv5 model achieves detection accuracy, precision, and recall rates as high as 97.46%, 99.57%, and 97.87%, respectively, outperforming other object detection models.

Innovation To Change Student Behavior At School Has An Influence The Value Of The Traditional Game Philosophy Of Gobak Sodor

The very rapid development of technology causes problems with changes in societal conditions which include social, economic and lifestyle problems. Technological changes that are not balanced with good thinking and understanding will result in changes to the understanding of social interactions in the social environment. Situations like this will have an impact on children's behavior and even movement activities at school. Promiscuity and juvenile delinquency still occur very often in Indonesia. Playing is a form of experience that must be experienced, through playing activities children will create an experience that can help develop physically, emotionally and socially. Paying attention to this, it is very necessary to find innovation, so that students experience changes in behavior. The method used in the research is a descriptive qualitative method, analyzing facts regarding the existence of traditional games and the values in Gobak Sodor. The results of the research explain that gobag sodor in traditional games is a source of value that can shape student behavior. Apart from education on cultural values in society, or education at home and also the learning process at school.

Precisely Controlling Polymer Acceptors with Weak Intramolecular Charge Transfer Effect and Superior Coplanarity for Efficient Indoor All-Polymer Solar Cells with over 27% Efficiency.

Indoor photovoltaics (IPVs) are garnering increasing attention from both the academic and industrial communities due to the pressing demand of the ecosystem of Internet-of-Things. All-polymer solar cells (all-PSCs), emerging as a sub-type of organic photovoltaics, with the merits of great film-forming property, remarkable morphological and light stability, hold great promise to simultaneously achieve high efficiency and long-term operation in IPV's application. However, the dearth of polymer acceptors with medium-bandgap has impeded the rapid development of indoor all-PSCs. Herein, we report a highly efficient medium-bandgap polymer acceptor (PYFO-V) through the synergistic effects of side chain engineering and linkage modulation and apply it for indoor all-PSCs operation. As a result, the PM6:PYFO-V-based indoor all-PSC yielded a highest efficiency of 27.1% under LED light conditions, marking the highest value for reported binary indoor all-PSCs to date. More importantly, the blade coated devices using non-halogenated solvent (o-xylene) maintained an efficiency over 23%, demonstrating the potential for industry-scale fabrication. Our work not only highlights the importance of fine-tuning intramolecular charge transfer effect and intrachain coplanarity in developing high-performance medium-bandgap polymer acceptors, but also provides a highly efficient strategy for indoor all-PSC application. This article is protected by copyright. All rights reserved.

Understanding the evolution of China’s approach to digital trade: interests, ideas, and institutions

Amid economic globalisation and the rapid development of advanced technologies in recent years, the world economy has shown an increasing trend of digitalisation, whilst digital trade has become the primary pattern of international trade. Based on differences rooted in socio-political systems, as well as the current precarious geopolitical realities, governments adopt different ideas in accordance with their respective interests in the institutionalisation of digital trade. As the world’s second-largest economy and a major digital power, China’s behaviours and ideological stances attract scholarly attention and states’ concern. Whilst Western countries and scholars have criticised China’s ideas of “government intervention in data regulation” and “cyber sovereignty” applied in its existing approach to digital trade, warning that China’s approach poses a threat to Western powers’ adherence to liberalism in the international digital trade system and the idea of “free data flow” in their approaches to digital trade, there has been insufficient research into how China’s approach to digital trade has evolved over time and which ideas and interests have influenced it. To bridge this gap in the literature, this paper divides the evolution of China’s approach to digital trade over the past three decades (1993–2023) into three phases using a longitudinal approach. This research conducts qualitative content analysis using official documents, white papers, and declarations from official Chinese websites, then adopts the 3I analytical framework to analyse which ideas and interests have influenced China’s approach in each phase and how its approach to digital trade has evolved over time.

The impact of internet use on adolescents’ health: empirical evidence from China

BackgroundWith the continuous improvement in economic levels in various countries and the rapid development of the Internet, adolescents’ Internet use has become increasingly frequent. Many studies have explored the relationship between Internet use and adolescent health, but the possible mechanisms involved are unclear, and few have focused on Chinese adolescents.MethodsBased on the data from the China Family Panel Studies 2010, 2014, 2016, 2018, and 2020, this study used the ordered probit model and OLS model to explore the impact of Internet use on self-rated health and mental health of Chinese adolescents and analyzed the possible mechanisms and heterogeneity involved.ResultsThe results revealed that adolescents’ Internet use negatively affected their physical and mental health. Parent-child conflict, academic performance, and self-efficacy were the important mechanisms of internet use affecting adolescents’ health. Moreover, the negative effects of Internet use on adolescents’ physical and mental health were heterogeneous in boarding, mother’s education level, and family per capita income.ConclusionAdolescents exhibit a pattern of using the internet that influences their health status. Our finding that internet use may decrease adolescents’ health provides important insights into understanding the relationship between internet use behavior and adolescents’ health and suggests that intervention should be taken on adolescents’ internet use.