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Introduction: Distinguishing and categorizing the origin of garlic are highly significant, considering its widespread use as a flavoring agent. With billions of dollars annually in global trade, garlic is frequently susceptible to fraudulent practices. Methodology: Paper spray ionization mass spectrometry (PS‐MS) was employed to quickly analyze garlic samples from distinct geographic origins: China and Brazil. The so‐generated PS‐MS data were treated with metabolomic multivariate approaches, and the garlic samples from these different geographic regions were easily discriminated. Results: Brazilian garlic was characterized to contain higher levels of amino acids, such as arginine, proline, and valine, and organosulfur compounds, such as allicin, alliin, and l‐γ‐glutamil‐S‐allyl‐l‐cysteine, compared to Chinese garlic. The PS‐MS data were treated employing multivariate approaches, typically used in the metabolomics field, and this protocol was promptly able to discern among both types of samples. Conclusion: Hence, this combined strategy holds promise not only as an effective tool for the authentication of the geographical origin of garlic but also as a powerful means for biomarker discovery. [ABSTRACT FROM AUTHOR]

This paper analyses the conference papers published by double first‐class universities from mainland China between 2006 and 2019. The main findings are as follows: first, the number of conference papers from different double first‐class universities varied greatly, with the annual numbers of papers in the China Proceedings of Conferences Full‐text Database (CPCD) and in the Conference Proceedings Citation Index (CPCI) fluctuating during this period. Second, most of the top 10 disciplines of the papers in the CPCD and CPCI were in the natural sciences, with only two in the social sciences. The CPCD papers and CPCI papers had some overlap in their disciplinary distributions. Third, the CPCD and CPCI papers differed little in total number, with the number of CPCI papers being slightly higher than the number of CPCD papers. With the introduction of new regulations from the Ministry of Science and Technology (MST), there will likely be an increase in the number of Chinese‐language conference papers in the future. [ABSTRACT FROM AUTHOR]

Paper was one of the greatest inventions in ancient China, and it greatly promoted the rapid development of human civilization. Even in today's electronic information age, paper and paper‐derived products are still indispensable to people's daily work and life. However, the traditional paper based on cellulose fibers from plants has some problems. For instance: (1) papermaking consumes a large amount of precious natural resources such as trees; (2) the papermaking industry causes environmental pollution; (3) the traditional paper consisting of organic cellulose fibers is highly flammable and easy to burn; (4) the traditional paper based on cellulose fibers turns to yellow color with time; (5) the lifetime of the traditional paper is relatively short because of the degradation of cellulose fibers. More efforts are needed to investigate and solve these problems facing the traditional paper. In recent years, a new kind of multifunctional fire‐resistant paper based on ultralong hydroxyapatite nanowires has been developed and investigated for various applications, and many research findings have been documented in the literature. This review article provides a comprehensive summary and discussion on recent research advances for this new kind of multifunctional fire‐resistant paper based on ultralong hydroxyapatite nanowires, including the synthesis, properties, applications, and future perspectives. [ABSTRACT FROM AUTHOR]

This paper conceptualises digital displacement as both a way through which the digital, dynamic and fragile spatialities of contentious politics can be examined and as a geographic critique of censorship. Digital displacement, understood here as the act of removing users from the digital places and spaces they wish to remain in and use, often through the act of deletion, is conceptualised through the digital displacement of two contentious political groups that attempted to contest the forced eviction of migrants from Beijing in 2017; hashtag focused #BeijingSurgery# and instant messaging group using BeijingTogether. Explored through participant observation, interviews and playful digital exploration, this paper examines the spatialities that made multiple digital displacements possible and the activist spatialities that emerged during and post‐displacement. In exploring this, I develop a flexible vocabulary around digital place, space, scale, territory and mobility to analyse the practices of digital displacement, to understand the socio‐spatial positionality of activists involved in digitally centred contentious politics and to contextualise their territorial positionality within Chinese digital territory and global digital territories. Through the examination of #BeijingSurgery# and BeijingTogether, the article highlights: the importance of digital territorial positionality for both activists and the digital places and spaces used for contentious politics; that within systems of digital spatial governance, deletion and displacement can be effective strategies of repressive governance with wide‐ranging displacement effects; and that while digital displacement is not necessarily the ending point of contentious politics, the re‐production of activist spatialities is more difficult when the authority being protested against governs the digital territory used for protest. This paper conceptualises digital displacement as: a way through which the digital, dynamic and fragile spatialities of contentious politics can be examined; a way to understand China's digital territorialization project; and as a geographic critique of censorship. Digital displacement is conceptualised through the ethnographic research conducted in Beijing and examines efforts to contest the forced eviction of migrants from Beijing in 2017. [ABSTRACT FROM AUTHOR]

Due to the lack of life experience and situational experience, it is difficult to arouse pupils' inner motivation and interest in writing. Therefore, the early stage of Chinese writing may be a challenge for Chinese pupils. In order to solve this problem, a spherical video‐based virtual reality (SVVR) experience learning system was developed to help pupils improve their writing performance and interest. To evaluate the effectiveness of the proposed approach, an experiment was carried out in a primary school in Zhejiang province, China. First, a writing pretest was administered in two grade 4 classes. The researchers then randomly selected 40 pupils of about 10 years old with similar writing abilities, and assigned them to an experimental group, which used the SVVR learning method, and a control group, which used the traditional learning method. The researchers observed and recorded the pupils' writing process and then, interviewed them. The results showed that there was a significant difference in the comprehensive writing performance of the two groups (F = 6.272; p =.017 <.05). The mean of the experimental group (Mean = 73.85) was higher than that of the control group (Mean = 70.00). Moreover, there were significant differences between the two groups in terms of the thematic coherence, structural integrity and linguistic expressiveness of their writing performance. However, there was no significant difference in the achievement of creative thinking. In the experimental group, different levels of learning behavior engagement could affect the structural integrity and language expression of writing achievements, and the degree of writing learning behavior engagement was highly correlated with reading time. Through the interviews, it was found that the pupils in the experimental group were more satisfied with the SVVR learning method than the control group pupils were with the traditional learning method. Practitioner NotesWhat is already known about this topic? Spherical video‐based virtual reality (SVVR) set a simulated environment enabling students to have in‐depth experience in learning contexts.Most SVVR studies focused on speaking and writing in middle schools and colleges, while its impacts on young children's writing performance is generally ignored.What this paper adds? An SVVR system based on experiencing learning theory was developed to promote young students' in‐depth experience and perception in descriptive paper writing.The proposed approach promoted students' writing performances, writing experience and learning behavior engagement.Implications for practice and/or policy SVVR is a potential technology for implementing experiential learning activities, especially in improving thematic coherence, structural integrity and linguistic expressiveness.It is worth promoting such a low‐tech and low‐cost experiential learning approach to other courses. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) first emerged in China in November 2019. Most governments have responded to the COVID-19 pandemic by imposing a lockdown. Some evidence suggests that a period of isolation might have led to a spike in alcohol misuse, and in the case of patients with alcohol use disorder (AUD), social isolation can favour lapse and relapse. The aim of our position paper is to provide specialists in the alcohol addiction field, in psychopharmacology, gastroenterology and in internal medicine, with appropriate tools to better manage patients with AUD and COVID-19,considering some important topics: (a) the susceptibility of AUD patients to infection; (b) the pharmacological interaction between medications used to treat AUD and to treat COVID-19; (c) the reorganization of the Centre for Alcohol Addiction Treatment for the management of AUD patients in the COVID-19 era (group activities, telemedicine, outpatients treatment, alcohol-related liver disease and liver transplantation, collecting samples); (d) AUD and SARS-CoV-2 vaccination. Telemedicine/telehealth will undoubtedly be useful/practical tools even though it remains at an elementary level; the contribution of the family and of caregivers in the management of AUD patients will play a significant role; the multidisciplinary intervention involving experts in the treatment of AUD with specialists in the treatment of COVID-19 disease will need implementation. Thus, the COVID-19 pandemic is rapidly leading addiction specialists towards a new governance scenario of AUD, which necessarily needs an in-depth reconsideration, focusing attention on a safe approach in combination with the efficacy of treatment. [ABSTRACT FROM AUTHOR]

Strontium (Sr) is an element of toxicological concern due to its close chemical proximity to Ca. In this work, Sr in sea salts collected from China and South Korea was analyzed by laser‐induced breakdown spectroscopy (LIBS). The precision could be improved by using multiple filter‐paper sampling and intensity normalization using a weak Na I line as a reference signal. The analyte signal variation between filter‐paper pieces as well as that within a single filter‐paper piece could be corrected by the suggested method. The limit of detection of ~2 ppm and the precision of ~5% could be obtained. As a measure of accuracy, the root‐mean‐square error was estimated to be 9 ppm. The multiple filter‐paper sampling can be performed easily on the salt production sites and improves the LIBS analysis precision resulting to sufficient quantification capability for minor metallic elements in edible sea salt products. [ABSTRACT FROM AUTHOR]

The impact of COVID‐19 has underlined the need for reliable information to guide clinical practice and policy. This urgency has to be balanced against disruption to journal handling capacity and the continued need to ensure scientific rigour. We examined the reporting quality of highly disseminated COVID‐19 research papers using a bibliometric analysis examining reporting quality and risk of bias (RoB) amongst 250 top scoring Altmetric Attention Score (AAS) COVID‐19 research papers between January and April 2020. Method‐specific RoB tools were used to assess quality. After exclusions, 84 studies from 44 journals were included. Forty‐three (51%) were case series/studies, and only one was an randomized controlled trial. Most authors were from institutions based in China (n = 44, 52%). The median AAS and impact factor was 2015 (interquartile range [IQR] 1,105–4,051.5) and 12.8 (IQR 5–44.2) respectively. Nine studies (11%) utilized a formal reporting framework, 62 (74%) included a funding statement, and 41 (49%) were at high RoB. This review of the most widely disseminated COVID‐19 studies highlights a preponderance of low‐quality case series with few research papers adhering to good standards of reporting. It emphasizes the need for cautious interpretation of research and the increasingly vital responsibility that journals have in ensuring high‐quality publications. [ABSTRACT FROM AUTHOR]

This paper conducted a comparative analysis of the conference publications published by Chinese scholars from 2006 to 2019. The main results are as follows. First, the conference papers are unevenly distributed among the 31 provincial administrative regions. The annual number of conference papers published by scholars from different regions fluctuated during the study period. Second, there are different disciplinary distributions of China Proceedings of Conferences Full‐text Database (CPCD) papers and Conference Proceedings Citation Index (CPCI) papers, and the CPCI publications have a relatively centralized disciplinary distribution. Third, it is noteworthy that there are more CPCD papers than CPCI papers. With the introduction of the new science and technology evaluation standards of the Ministry of Science and Technology, there should be more conference papers in the future. [ABSTRACT FROM AUTHOR]

In practice, correction fluid to mask text errors has been continuously in demand since papers began to be predominantly used since the late fourth century AD in ancient China. However, research on the trajectory of correction fluid composition has been largely overlooked and has not been revealed currently. In this study, a multianalytical approach was used to investigate a thin whiteout layer, used as correction fluids applied in 1890, on a book page from the famous Imperial Encyclopedia (1726 bronze‐type repaint version). The results showed that the white layer was composed of hydrocerussite ((PbCO3)2·Pb (OH)2) in mixture with plant oil and a tiny portion of calcium carbonate, which had been applied to conceal the originally printed Chinese characters upon which they were rewritten in preparing photographic negatives for reprinting using photolithography. The analysis results also suggest that lead white was likely domestically made using a local lead ore source by the wet synthetic process. Considering the prolonged use of orpiment (As2S3) as a correction fluid ingredient in Chinese tradition, a trajectory to lead white suggests not only advances in pulping and papermaking technology but also a shift in cultural habits and aesthetic psychology in the late Qing Dynasty. [ABSTRACT FROM AUTHOR]

Aim: To explore the health beliefs of clinical and academic nurses from Japan, Australia and China regarding wearing paper masks to protect themselves and others, and to identify differences in participants' health beliefs regarding masks. Background: The correct use of face masks and consensus among health professionals across the globe is essential for containing pandemics, and nurses need to act according to policy to protect themselves, educate the public and preserve resources for frontline health workers. Paper masks are worn by health professionals and the general public to avoid the transmission of respiratory infections, such as COVID‐19, but there appear to be differences in health beliefs of nurses within and between countries regarding these. Methods: This qualitative descriptive study used content analysis with a framework approach. Findings: There were major differences in nurse participants' beliefs between and within countries, including how nurses use paper masks and their understanding of their efficacy. In addition, there were cultural differences in the way that nurses use masks in their daily lives and nursing practice contexts. Conclusion: Nurses from different working environments, countries and areas of practice hold a variety of health beliefs about mask wearing at the personal and professional level. Implications for nursing policy and health policy: The COVID‐19 pandemic has sparked much discussion about the critical importance of masks for the safety of health professionals, and there has been considerable discussion and disagreement about health policies regarding mask use by the general public. Improper use of masks may have a role in creating mask shortages or transmitting infections. An evidence‐based global policy on mask use for respiratory illnesses for health professionals, including nurses, and the general public needs to be adopted and supported by a wide‐reaching education campaign. [ABSTRACT FROM AUTHOR]

In order to solve the huge impact of the digital information age on many technical and industrial fields, a periodic fast search genetic algorithm is proposed. Based on the reconnaissance mission, this paper introduces the common allocation strategy into mission planning, and constructs the mathematical model of multi unmanned aerial vehicle (UAV) cooperative reconnaissance mission planning decision‐making. The proposed periodic fast search genetic algorithm is used to solve the problem of multi UAV cooperative reconnaissance mission planning. In 2020, the industry growth rate of global UAV technology expenditure was as high as 30.6%, and the compound growth rate of UAV in China reached 63.5%, which is enough to see the great prospect of the integrated development of UAV technology and different industries. The experiment evaluates the log verification module of UAV by comparing the two data structures of Merkle tree and linear, and the time and memory overhead of storing and verifying logs, which shows the effectiveness of the log verification scheme in this paper. [ABSTRACT FROM AUTHOR]

How to effectively utilize renewable energy and improve the economic efficiency of microgrid system and its ability to consume renewable energy has become one of the main problems facing China at present. In response to this challenge, this paper establishes a multiobjective capacity optimization model with the minimum levelized cost of energy, the maximum proportion of renewable energy consumption, and the minimum comprehensive system cost. Based on this model, a new improved beluga whale optimization algorithm is proposed to solve the multiobjective optimization problem in the capacity allocation process of wind–solar–storage microgrid system with the goal of ensuring that the microgrid can meet the maximum load demand at different moments throughout the year. In this paper, opposition‐based learning, artificial bee colony, dynamic opposite, and beluga whale optimization are combined to improve the population diversity and convergence accuracy, thereby enhancing the optimization performance of the algorithm. Finally, after finding the optimal Pareto front solution, the Technique for Order Preference by Similarity to an Ideal Solution is used to help decision‐makers select the optimal solution. Using real load data and meteorological data, the results of this paper show that the multiobjective capacity allocation optimization method of grid‐connected scenic storage microgrid system based on the improved beluga whale optimization algorithm can improve the economics of the wind–solar–storage microgrid system and promote the photovoltaic consumption simultaneously, providing a solution for the realization of low‐carbon power and regional economic development. The best‐found levelized cost of energy for the wind–solar–storage microgrid system is 0.192 yuan/kWh. [ABSTRACT FROM AUTHOR]

Whilst China's aid and development model has been traditionally understood as divergent from the dominant post‐1945 liberal development model, scholars are also increasingly exploring convergence between features of the two development models. Recently, scholars from a range of disciplines including development studies, development geography and international (business, environment and legal) studies have explored a process whereby China's Belt and Road Initiative and the United Nations Sustainable Development Goals converge ('BRI‐SDG integration'). This paper brings these multidisciplinary strands of scholarship together and places them in dialogue with social sciences convergence theory to understand how BRI‐SDG integration aligns with or challenges previous conceptualisations of Chinese‐dominant development convergence. The paper first demonstrates that BRI‐SDG integration proposes a novel and deliberate convergence process ‐ which the paper names 'complementary convergence'. However, BRI‐SDG integration also underscores the need for more multidirectional frameworks that reject Eurocentricity for evaluating the contemporary Chinese‐dominant relationship, and an enhanced focus on how China is influencing dominant development institutions. Finally, BRI‐SDG integration reiterates the methodological difficulties of delineating between 'development models' in an increasingly interrelated global governance of development. [ABSTRACT FROM AUTHOR]

Background: Although existing studies have shown that both repetitive transcranial magnetic stimulation (rTMS) and music therapy have advantages in the treatment of non‐fluent aphasia, the efficacy of the combination of these two methods remains to be investigated. Aims: To investigate the clinical efficacy of low‐frequency rTMS combined with music therapy on language function and depression in patients with non‐fluent aphasia after stroke. Methods & Procedures: A single‐blind parallel randomised controlled trial was conducted. Sixty patients (mean duration = 93.78 days) with non‐fluent aphasia after stroke were randomly divided into a traditional therapy group (n = 20), a music therapy group (n = 20) and a combined therapy group (n = 20, 1 Hz). The language function and depression were evaluated before and 3 weeks after treatment with the Chinese version of the Western Aphasia Battery scale, Boston Diagnostic Aphasia Examination scale and Stroke Aphasic Depression Questionnaire Hospital Version scale. Outcomes & Results: The combined therapy group was significantly better in all outcomes than the traditional therapy group and was significantly better in depression than the music therapy group. The music therapy group was significantly better in repetition and depression than the traditional therapy group. Language improvement was positively correlated with depression improvement. For adverse events, only two patients in the combined therapy group showed slight dizziness during rTMS treatment and their symptoms improved after rest. Conclusions & Implications: Our preliminary randomised controlled study indicates that low‐frequency rTMS combined with music therapy is feasible and safe in improving language function and depression in non‐fluent aphasia patients after stroke. WHAT THIS PAPER ADDS: What is already known on this subject: Repetitive transcranial magnetic stimulation (rTMS) and music therapy respectively have advantages in the treatment of non‐fluent aphasia after stroke, but whether the combination of the two methods is more effective is still unknown. What this paper adds to the existing knowledge: This is one of the first randomised control trials to investigate whether the clinical efficacy of low‐frequency rTMS combined music therapy for non‐fluent aphasia is better. The findings show that low‐frequency rTMS combined music therapy is superior to traditional therapy in spontaneous speech, auditory comprehension, repetition, naming, aphasia quotient, functional language level and depression, and superior to music therapy in depression, while music therapy is superior to traditional therapy in repetition and depression. What are the potential or actual clinical implications of this work?: Low‐frequency rTMS combined music therapy may be a better method for treatment of non‐fluent aphasia. [ABSTRACT FROM AUTHOR]

Digitalization and greening are key themes in global development, the manufacturing industry, as a major sector of energy consumption and carbon emissions, is in urgent need of transformation to realize energy conservation and emission reduction, digital transformation provides an opportunity for its green development. However, whether digital transformation can restrain the carbon emission intensity (CEI) of enterprises is still controversial. Based on the data of China's A‐share manufacturing listed companies from 2013 to 2020, this paper uses fixed effect model and intermediary effect model to explore the relationship between digital transformation and enterprise CEI and the influence path. the results show that: (1) Digital transformation has significantly reduced the CEI of manufacturing enterprises. (2) Mechanism analysis indicates that green technological innovation and resource allocation efficiency play a chain mediating role in this relationship. (3) Heterogeneity analysis shows that the carbon emission reduction effect of digital transformation is more significant when enterprises belong to an energy‐intensive manufacturing industry or face strong environmental regulations and industry competition. The analysis of this paper not only deepens enterprises' understanding of digital transformation and green development but also provides a policy basis for China to advocate the coordinated development of the digital economy and green economy. [ABSTRACT FROM AUTHOR]

Latent fingerprint deposits on thermal paper sourced from the U.S., China, the U.K., and Australia have been visualized by heating. U.S. and Chinese sourced paper produced two distinct types of fingerprint development. In one type (type 1), the paper dye colors where the deposit is present (as previously reported) and in the other type (type 2) the 'inverse' of this gives paper coloring only in areas not coincident with the deposit. Both development types gave identifiable fingerprints, the majority fading within 24 h of heating. Fingerprint development from U.K. and Australian sourced paper was exclusively type 1 and resistant to fading. Temperatures for fingerprint visualization were higher for U.S. paper (64-71°C) and Chinese paper (75-95°C) than for U.K. and Australian sourced paper (43-50°C). Particularly for Chinese sourced paper, these temperatures were within a few degrees of the normal paper color temperature. A mechanism for type 2 fingerprint development is proposed. [ABSTRACT FROM AUTHOR]

From the 1820s pith became a familiar material in Europe, under the name of rice-paper, as a raw material for artificial flowers, and as a medium for export paintings from China. The structure of pith sheets was early recognised as different to that of paper, but it was not until 1852 that William Jackson Hooker was able to describe the source plant, as Aralia papyrifera Hook., now Tetrapanax papyrifer (Hook.) K. Koch. Using his consular contacts, Hooker was able to build up a remarkable collection of pith, as raw materials, artificial flowers and Chinese paintings. Many are described and illustrated in this article, in the context of recent work on the history and conservation of pith paintings. [ABSTRACT FROM AUTHOR]

This paper examines how Chinese transnational investments, as (re)framed in the Belt and Road Initiative (BRI), contribute to changes in urbanisation processes in Southeast Asia. On the ground, the BRI becomes contextualised and intersects with local and national development trajectories. The growing presence of Chinese actors in the region intensifies urban dynamics, especially in secondary cities and emerging urban sites, where the BRI is used as a lever for local internationalisation strategies. The heterogeneous nature of the links between the BRI and various large urban projects is demonstrated on the basis of case studies involving changing consortia of private and public Chinese and Southeast Asian actors. A regional approach allows us to identify connections and shared processes across Southeast Asian countries. It provides a historically grounded understanding of how the BRI incorporates long‐term interactions with China and more recent partnerships in Southeast Asian countries. The paper paves the way for a research agenda that contests the image of China as a monolithic actor implementing the BRI uniformly and consistently. Further analyses are needed to examine systems and networks of actors as well as the local urban politics that affect the BRI on the ground. [ABSTRACT FROM AUTHOR]

This paper examines how latecomer firms manage to achieve industrial upgrading through strategic coupling with global lead firms in automotive production networks. Drawing upon the example of the Guangzhou Automotive Corporation in southern China, this paper theorizes 'cross‐scalar tension' as a key factor to explain why the four cases of strategic coupling between lead firms, the same domestic firm and state ended in different results, from decoupling to a sustainable coupling with local upgrading. This paper contributes to the pertinent literature by demonstrating that cross‐scalar tension is inherent to the nature of global production networks, and unreconciled tension concerning different corporate strategies on technological transfer, localization and product development could lead to decoupling. Importantly, good coordination and matching on corporate strategies between lead and domestic firms could relieve cross‐scalar tensions, thus fostering local industrial upgrading and sustainable strategic coupling. [ABSTRACT FROM AUTHOR]

Introduction: This paper is a report of an ICSH review of policies and practices for internal quality control (IQC) policy for haematology cell counters among regulatory bodies, cell counter manufacturers and diagnostic laboratories. It includes a discussion of the study findings and links to separate ICSH guidance for such policies and practices. The application of internal quality control (IQC) methods is an essential pre‐requisite for all clinical laboratory testing including the blood count (Full Blood Count, FBC, or Complete Blood Count, CBC). Methods: The ICSH has gathered information regarding the current state of practice through review of published guidance from regulatory bodies, a questionnaire to six major cell counter manufacturers (Abbott Diagnostics, Beckman Coulter, Horiba Medical Diagnostic Instruments & Systems, Mindray Medical International, Siemens Healthcare Diagnostics and Sysmex Corporation) and a survey issued to 191 diagnostic laboratories in four countries (China, Republic of Ireland, Spain and the United Kingdom) on their IQC practice and approach to use of commercial IQC materials. Results: This has revealed diversity both in guidance and in practice around the world. There is diversity in guidance from regulatory organizations in regard to IQC methods each recommends, clinical levels to use and frequency to run commercial controls, and finally recommended sources of commercial controls. The diversity in practice among clinical laboratories spans the areas of IQC methods used, derivation of target values and action limits used with control materials, and frequency of running commercial controls materials. Conclusions: These findings and their implications for IQC Practice are discussed in this paper. They are used to inform a separate guidance document, which proposes a harmonized approach to address the issues faced by diagnostic laboratories. [ABSTRACT FROM AUTHOR]

This study was aimed at comparing different formats of illustrations for children's books created by modern Chinese and Ukrainian artists. At the same time, it was not focused just on determining the leading format, but on identifying the attractiveness factors of each format. To this end, the study investigated children's illustration preferences drawing from the following three age groups: 5–6 years old (preschoolers), 7–8 years old (second‐graders), and 9–10 years old (fourth‐graders). According to the survey, children were most concerned with illustration colourfulness (this is true for paper and pop‐up books) and viewing convenience. There were no statistically significant differences found between Chinese and Ukrainian books in terms of these parameters. At the same time, Chinese e‐books appeared to outperform the Ukrainian texts in terms of feature management and illustration colourfulness. Publishers and artists of children's books can use these data for effective creative activity and making constructive decisions. At the same time, these findings may be of interest to parents, informing or guiding book selection for children. [ABSTRACT FROM AUTHOR]

This paper seeks to offer a nuanced understanding of how the rural responds to and speaks back to the urban in the context of increasingly blurred rural‐urban landscapes. The prevailing theorizations remain entrenched in an intellectual impasse that still treats the rural as a residual space or a reactive actor besieged by external urban forces. Using lineage spaces as an empirical lens, this paper delves into rural geographies of lineage landscapes in post‐reform China by articulating rural agencies in more active, non‐lineal ways. Drawing on ethnographic fieldwork conducted in rural Wenzhou, southeast China, this paper argues that the articulation of rural voices amidst China's urban modernity unveils a spatial paradox of landscape de/reterritorialization at the dimensions of discourse, practice and (trans)locality. We first reveal how official rural discourses de‐territorialize and lessen lineage groups' control over their symbolic buildings while simultaneously opening up opportunities for them to mobilize officially‐sanctioned discourses to expand lineage spaces and reterritorialize their power. Second, we show how villagers embrace the de‐territorializing practice of landscape commodification, which becomes a crucial source of finance for them to perform ritual activities at specific festivals, thereby re‐asserting rural collectivism, sociality and sacredness. Third, we unpack the trans‐local dimension of rural de/reterritorialization by exploring how villagers forge lineage‐based rural networking that transcends space‐time, which paradoxically reinforces the spatial claim for territorializing rural power that is demarcated from urban/modern orientations. We further argue that these multiple spatial processes of rural de/reterritorialization challenge a reactive or neatly‐divided account of rural agency during its engagement with urbanizing relations and processes. In all, this paper offers a more complex, paradoxical account of relational rurality in a rapidly urbanizing China, and foregrounds an agenda towards more 'inclusive' rural studies. [ABSTRACT FROM AUTHOR]

Green innovation (GI) can enable win‒win style economic and ecological benefits. Using China's pilot scheme for the construction of the intellectual property protection (IPP) system as an example, this paper empirically tests the impact of IPP system reform on the GI level and its spatial spillover effect. The results show that IPP system reform has significantly promoted urban GI, indicating that a progressive reform model characterized by experimentalist governance is applicable to innovation policy practices in developing countries. The dynamic effect analysis shows that IPP system reform can be applied to continuously promote urban GI. The mechanism analysis shows that such use of IPP system reform can improve the level of urban GI by promoting investment and talent agglomeration, confirming the viewpoint of the institutionalist school. The heterogeneity analysis shows that IPP system reform plays a stronger role in promoting GI in peripheral cities than in central cities, in cities with lower rather than higher scientific and educational levels and in cities with weaker rather than stronger GI capacity. Consistent with the theory of institutional diffusion, IPP system reform has a significant spatial spillover effect, promoting GI activities in surrounding cities while working to improve the local GI level. This paper affirms the effectiveness of the pilot regional innovation policy with Chinese characteristics, with important theoretical significance. [ABSTRACT FROM AUTHOR]

Background: For adults with inflammatory bowel disease (IBD), they experience many challenges in dietary decision‐making. Thus, this study examined the perspective and experiences of adults with IBD in dietary decision‐making. Objective: This study aimed to explore the perception and consideration of people with IBD in their daily dietary decisions through monitoring, interpretation and action during the decision‐making process. Design: A qualitative study of individuals affected by IBD was conducted through semistructured interviews. Results: Twenty patients were recruited from four tertiary hospitals in Nanjing, China, and each participant completed a semistructured interview. The majority of participants reported on the process and experience of dietary decision‐making. Key themes were categorised into three stages: (1) assessing needs, preferences and food cues (monitor); (2) moving from experience to expertise (interpret) and (3) balancing expectations amidst limitations (act). The majority of participants reported that their decisions were shaped by assessing current disease status and food cues. Those interviewed with IBD were willing to make tradeoffs for bowel stability, but their decisions were also influenced by past dietary experiences and traditional Chinese beliefs. The lack of awareness of dietary guidelines was a significant barrier to healthy eating decisions. Positive or negative feelings accompanied dietary decisions. Conclusion: Although most people with IBD change their diet after diagnosis, the changes made are often inconsistent with existing dietary recommendations. Several factors can influence the dietary decision‐making process. This study will help assess the experiences of people with IBD in dietary decision‐making to encourage the formation of targeted dietary health and well‐being interventions. Knowledge of nutrition and diet should be provided in education and training programmes for IBD management. Patient or Public Contribution: The first three authors of this paper were the lead researchers in this study's design. These authors were mentored by patient researchers who also contributed to the manuscript, and the research process was co‐lead and directed by other patient participants and consultants. The results of this paper were directly obtained from patient participants. [ABSTRACT FROM AUTHOR]

Bayesian network (BN) is an important tool in probabilistic seismic risk analysis (PSRA) due to its holistic nature and powerful probabilistic inference capabilities. However, while the information that can be stored by BN includes variable values, probability distributions, and relationships between variables, it does not involve event quantities. The results obtained from PSRA and probabilistic seismic hazard analysis (PSHA) are commonly frequency‐related (the number of occurrences per unit time), fundamentally describing event numbers. BN assumes a fixed event number relationship between nodes, but the aftershock counts vary for different mainshock magnitudes. This limitation further restricts its effectiveness in lifespan PSRA for structures. Therefore, this study aims to propose an enhanced BN (EBN) for modeling aftershock PSHA (APSHA) considering frequency information. This paper first introduces the modeling method using BN, including PSHA and a simplified model of APSHA using Båth's law. Next, an EBN that can effectively address frequency issues between the mainshock and aftershocks is presented for modeling APSHA considering the modified Omori's law, while the mathematical principles of both forward and backward inferences for the EBN are elaborated in detail. Then, the article carefully analyzes the utilization of the EBN for APSHA modeling under different scenarios where the information regarding the mainshock is known to varying extents, followed by the extension of the EBN in a time domain to obtain time‐dependent aftershock hazard. Finally, an example of APSHA in a specific location in China is illustrated. [ABSTRACT FROM AUTHOR]

From the perspective of historical institutionalism, based on several critical junctures of the past half‐century in China, this paper divides over 40‐year history of China's teacher certification institution into four stages and elaborates on mechanisms and processes of critical junctures that impact even determine teacher certification institution reforms. The features of China's teacher certification institution are as follows: Its examination system is increasingly perfect; its direct accreditation depends more on graduates' quality rather than major categories; its history is a seesaw effect history between pedagogic and academic orientation of teacher education; teacher certification institution and normal specialty students' quality is the bottom line of teacher workforce performance under the open teacher education system; and the intersection between pedagogic and academic orientation of teacher education leads to the standardization and professionalization of teacher education in all respects. [ABSTRACT FROM AUTHOR]

As urban population increases, integrated underground–aboveground complexes are being constructed at growing paces in major cities. The seismic analysis of such complexes is crucial for the safety and functionality in the threat of potential earthquake disasters. However, fine‐grained numerical modeling and analysis of such large and complex structures are still inefficient due to the consideration of the soil–structure interaction (SSI). To address this challenge, an efficient approach for numerical modeling of large‐scale seismic SSI analysis is presented in this paper to overcome the limitations of existing finite element analysis (FEA) software. Moreover, a multi‐graphic processing unit (GPU) parallel explicit algorithm is implemented for the nonlinear dynamic SSI problems to further increase the computational efficiency. A large underground–aboveground complex project in China is used as an example to demonstrate the capability of the integrated method. The accuracy and reliability of the multi‐GPU parallel explicit finite element algorithm for SSI analysis (GFEA‐SSIA) are verified through a comparative analysis of the linear‐elastic and nonlinear dynamic response of the building calculated by GFEA‐SSIA and common FEA software. Finally, the structural response and structural damage of the underground–aboveground complex are analyzed under multidirectional seismic motions, and the damage distributions of the structures are provided. [ABSTRACT FROM AUTHOR]

Accurate rainfall measurement with a precise spatial and temporal resolution is essential for making informed decisions during disasters and conducting scientific studies, particularly in regions characterized by intricate terrain and limited coverage of automated weather stations. Retrieval of precipitation with satellite is currently the most effective means to obtain precipitation over large‐scale areas. The key to enhancing the accuracy of precipitation estimation and forecasting in regions with complex terrain lies in effectively integrating satellite data with topographic information. This paper introduces a deep learning approach called AttUnet_R_SFT that utilizes high temporal, spatial, and spectral resolution data obtained from the Fengyun 4A satellite, and incorporates the Deep Spatial Feature Transform (SFT) layer to incorporate geographical data for estimating half‐hourly precipitation in northeastern China. We assess it by compared to operational near‐real‐time satellite precipitation products demonstrated to be successful in estimating precipitation and baseline deep learning models. According to the experimental findings, the AttUnet_R_SFT model outperforms practical precipitation products and baseline deep learning models in both identifying and estimating precipitation. The main enhancement of the model performance is shown in the windward slope of the Greater Khingan Mountains as a result of the successful incorporation of geographical data. Hence, the suggested framework holds the capability to function as a superior and dependable satellite‐derived precipitation estimation solution in regions characterized by intricate terrain and infrequent rainfall. The findings of this study indicate that the utilization of deep learning algorithms for satellite precipitation estimation shows potential as a fruitful avenue for further research. Plain Language Summary: A deep learning model named AttUnet_R_SFT is proposed, which use high temporal, spatial and spectral resolution data from the Fengyun 4A satellite, and combines with the Deep Spatial Feature Transform (SFT) layer to input geographic information for half‐hourly precipitation estimation in the complex terrain region represented by northeast China. The model can provide a reference for improving the performance of precipitation estimation in areas with complex topography. Key Points: A deep‐learning model is proposed to effectively fuse satellite multispectral data of the Fengyun 4A satellite, with topographic informationHalf‐hourly precipitation is estimated with higher temporal resolution, which is closer to the operational needs of weather forecastingAs precipitation in the study area is a non‐high‐frequency event, data enhancement is attempted to use and obtain effective results [ABSTRACT FROM AUTHOR]

This work explores China's African public relations and image‐building effort, focusing on Nigeria. Thus, the paper's purpose is twofold: first, to investigate whether China's conduct of public diplomacy through its soft power resource—development assistance—has effectively shaped positive Nigerian public perception of China, and second, to determine the media's role in advancing China's public diplomacy in Nigeria. Specifically, it explores the interaction of economic development assistance, media, and public relations. I do this by comparing China's foreign direct investment (FDI) in Nigeria (2010–2019) with the public's perception of the FDI's influence on the Nigerian economy (2016 and 2020) and the media's role in shaping public support toward the investments. Utilizing a range of datasets, I find that Chinese economic investment alone is insufficient to substantially shape positive Nigerian public perception of China. Within a framework of mediated public diplomacy, I demonstrate that the Chinese image‐building effort in Nigeria would likely enhance when the country links economic investments with public relations to make the investments more visible through effective media representation. Related Articles: Ayhan, Kadir Jun, and Nancy Snow. 2021. "Introduction to the Special Issue—Global Korea Scholarship: Empirical Evaluation of a Non‐Western Scholarship Program from a Public Diplomacy Perspective." Politics & Policy 49(6): 1282–91. https://doi.org/10.1111/polp.12440. Hodzi, Obert, and John H. S. Åberg. 2020. "Introduction to the Special Issue: Strategic Deployment of the China Model in Africa." Politics & Policy 48(5): 804–14. https://doi.org/10.1111/polp.12378. Huijgh, Ellen. 2017. "Indonesia's 'Intermestic' Public Diplomacy: Features and Future." Politics & Policy 45(5): 762–92. https://doi.org/10.1111/polp.12221. [ABSTRACT FROM AUTHOR]

Background and Aims: This study aimed to report nine Charcot–Marie–Tooth disease (CMT) families with six novel IGHMBP2 mutations in our CMT2 cohort and to summarize the genetic and clinical features of all AR‐CMT2S patients reported worldwide. Methods: General information, clinical and neurophysiological data of 275 axonal CMT families were collected. Genetic screening was performed by inherited peripheral neuropathy related genes panel or whole exome sequencing. The published papers reporting AR‐CMT2S from 2014 to 2023 were searched in Pubmed and Wanfang databases. Results: In our CMT2 cohort, we detected 17 AR‐CMT2S families carrying IGHMBP2 mutations and eight were published previously. Among these, c.743 T > A (p.Val248Glu), c.884A > G (p.Asp295Gly), c.1256C > A (p.Ser419*), c.2598_2599delGA (p.Lys868Sfs*16), c.1694_1696delATG (p.Asp565del) and c.2509A > T (p.Arg837*) were firstly reported. These patients prominently presented with early‐onset typical axonal neuropathy and without respiratory dysfunction. So far, 56 AR‐CMT2S patients and 57 different mutations coming from 43 families have been reported in the world. Twenty‐nine of 32 missense mutations were clustered in helicase domain and ATPase region. The age at onset ranged from 0.11to 20 years (Mean ± SD: 3.43 ± 3.88 years) and the majority was infantile‐onset (<2 years). The initial symptoms included weakness of limbs (19, 29.7%), delayed milestones (12, 18.8%), gait disturbance (11, 17.2%), feet deformity (8, 12.5%), feet drop (8, 12.5%), etc. Interpretation: AR‐CMT2S accounted for 6.2% in our CMT2 cohort. We firstly reported six novel IGHMBP2 mutations which expanded the genotypic spectrum of AR‐CMT2S. Furthermore, 17 AR‐CMT2S families could provide more resources for natural history study, drug research and development. [ABSTRACT FROM AUTHOR]

Summary: Data related to the counting of elements of variable character are frequently encountered in time series studies. This paper brings forward a new class of k$$ k $$th‐order dependence‐driven random coefficient mixed thinning integer‐valued autoregressive time series model (DDRCMTINAR(k$$ k $$)) to deal with such data. Stationarity and ergodicity properties of the proposed model are derived in detail. The unknown parameters are estimated by conditional least squares, and modified quasi‐likelihood and asymptotic normality of the obtained parameter estimators is established. The performances of the adopted estimate methods are checked via simulations, which present that modified quasi‐likelihood estimators perform better than the conditional least squares considering the proportion of within‐Ω$$ \Omega $$ estimates in certain regions of the parameter space. The validity and practical utility of the model are investigated by epileptic seizure data and COVID‐19 data of suspected cases in China. [ABSTRACT FROM AUTHOR]

Background: Limited research on the effectiveness of additional online and face‐to‐face practise opportunities for promoting active learning among Chinese EFL learners in higher education. Current understanding of self‐regulated and collaborative learning theories in educational contexts. Objectives: To establish the efficacy of interactive online and face‐to‐face practise opportunities for enhancing active learning among Chinese EFL learners. Methods: Employed mixed methods research to assess the impact of different types of practise opportunities on 116 EFL learners. Utilised methodological triangulation of QUAN + QUAL data and one‐way ANOVA for interpretation. Results and conclusions: The study demonstrated the effectiveness of integrating online and face‐to‐face practise opportunities to enhance active learning. Empirical evidence supports the pedagogical and theoretical benefits of these opportunities for promoting active learning among EFL learners. Lay Summary: What is currently known about this topic: Limited scholarly exploration of supplementary practise opportunities for active learning among Chinese EFL learnersExisting understanding of self‐regulated and collaborative learning theories in educational contexts What does this paper add: Establishes the effectiveness of interactive online and face‐to‐face practise opportunities for promoting active learningProvides empirical evidence supporting the integration of these opportunities to enhance active learning Implications for practise/or policy: Advocates for the combined use of online and face‐to‐face practise opportunities to enrich engagement, problem‐solving, feedback, and motivation among EFL learnersSuggests the development of instructional frameworks based on self‐regulated and collaborative learning theories for enhanced CALL courses [ABSTRACT FROM AUTHOR]

Background: With the development of computational literacy, there has been a surge in both research and practice application of text‐based and block‐based modalities within the field of computer programming education. Despite this trend, little work has actually examined how learners engaging in programming process when utilizing these two major programming modalities, especially in the context of secondary education settings. Objectives: To further compare programming effects between and within text‐based and block‐based modalities, this research conducted a quasi‐experimental research in China's secondary school. Methods: An online programming platform, Code4all, was developed to allow learners to program in text‐based and block‐based modalities. This research collected multimodal data sources, including programming platform data, process data, and performance data. This research further utilized multiple learning analytics approaches (i.e., clustering analysis, click stream analysis, lag‐sequential analysis and statistics) to compare learners' programming features, behavioural patterns and knowledge gains under two modalities. Results and Conclusions: The results indicated that learners in text‐based modality tended to write longer lines of code, encountered more syntactical errors, and took longer to attempt debugging. In contrast, learners in block‐based modality spent more time operating blocks and attempt debugging, achieving better programming knowledge performances compared to their counterparts. Further analysis of five clusters from the two modalities revealed discrepancies in programming behavioural patterns. Implications: Three major pedagogical implications were proposed based on empirical research results. Furthermore, this research contributed to the learning analytics literature by integrating process‐oriented and summative analysis to reveal learners' programming learning quality. Lay Description: What is currently known about the subject matter: Programming has the potential to improve learners' higher‐order thinking skills.Block‐based and text‐based modalities are two major instructional methods.There has been a growing interest to understand how learning occurs in two modes.Most previous work has evaluated two modalities based on learners' knowledge, skills, and attitudes. What this paper adds: Code4all allows learners to programming in text‐based and block‐based modalities.Quasi‐experimental research was conducted to examine block‐based and text‐based programming modalities.Multimodal learning analytics were used to compare programming under two modalities.Learners' programming features, behaviouralbehavioral patterns, and knowledge gains were identified under two modalities. The implications of study findings for practitioners: Instructors should integrate text‐based and block‐based modalities into programming courses.Process‐oriented assessment should be integrated with summative assessment. Adaptive, timely scaffoldings should be provided with the external support (this should be marked like above two points). [ABSTRACT FROM AUTHOR]

Background: Deep discussions play an important role in students' online learning. However, researchers have largely focused on engaging students in deep discussions in online asynchronous forums. Few studies have investigated how to promote deep discussion via mobile instant messaging (MIM). Objectives: In this study, we applied learning analytical tools (i.e., KBdeX and word clouds) to enhance students' shared epistemic agency and thereby support their deep discussions in MIM. Methods: Forty Chinese college students participated in this study and reflected on their MIM engagement by participating in the learning analytics (LA)‐augmented meta‐discourse sessions. The study used multiple data analysis methods, including content analysis, statistical analysis, epistemic network analysis and lag sequential analysis. Results: We found that LA engaged students in deep discussions and shared epistemic agency‐related discourse, such as creating shared understanding, creating knowledge objects, and projective and regulative processes. In particular, word clouds engaged students in more complete shared epistemic agency discourse trajectory which started from creating awareness of unknowns, then progressed to setting projective plans and sharing information, and ultimately, creating shared understanding. Moreover, our analysis indicated that epistemic agency discourse moves of creating shared understanding led students to a high level of deep discussion. Implications: This study contributes to research by extending the 'comparison paradigm', which focuses on comparing (a)synchronous forums with MIM, to a 'design paradigm', which mobilises design features from (a)synchronous forums to MIM and using learning analytical tools to engage students in deep online discussions by promoting their epistemic agency. Lay Description: What is known in this subject matter: Supporting students' online deep discussions is important.Prior studies have shown multiple technological and pedagogical strategies to support deep discussions in (a)synchronous discussion forums, but few studies in mobile instant messaging (MIM).MIM is a quasi‐synchronous tool. It is difficult to transform the traditional external scaffolds (i.e., scripts or teachers' facilitation) which promote deep discussions from (a)synchronous forums to MIM. What this paper adds to this: We constructed a design framework which used learning analytical tools‐augmented meta‐discourse to engage students in shared epistemic agency discourse moves to promote their deep discussion in MIM.We conducted multiple types of analyses (content analysis, statistical analysis, epistemic network analysis and lag sequential analysis) on students' WeChat message (a major MIM in China).Results indicated both learning analytical tools helped engage students in shared epistemic agency discourse moves, such as creating shared understanding, creating knowledge objects, projective and regulative, thus, to promote students' deep discussions. Word cloud especially engaged students in more complete shared epistemic agency discourse trajectory. Moreover, analysis results indicated that shared epistemic agency discourse moves of creating shared understanding would lead students to a high level of deep discussions. Implications of study findings for practitioners: Our study provides a feasible way to educational practitioners who want to promote students' deep discussions in their online learning course (both fully online and flipped classroom mode).Knowledge Building Discourse Explorer (KBDeX presents the original analysis results of students' written messages in discussion forums as socio‐cognitive networks.) could be implemented in the classroom. The objective is to encourage students to understand the importance of connecting with peers' ideas in a one‐session implementation period.If time allows, teachers could use word cloud and meta‐discourse to engage students in socio‐metacognitive conversations in class to promote their shared epistemic agency discourse in online discussions. [ABSTRACT FROM AUTHOR]

Background Study: Technology‐supported learning environments, act as significant observational and enabling indicators for evaluating and encouraging the digital revolution of education, are of vital importance in current educational research. Keeping track of the dynamics of technology‐supported learning environment research allows for the enrichment of theoretical studies and a prompt innovation of talent‐training environments. Objectives: The present study carried out a bibliometric analysis of the core collection of WoS database over the last two decades. Method: This study is a bibliometric research. We applied CiteSpace and VOSviewer for co‐occurrence and evolution analysis. In addition, we extracted the fundamental ideas and thoughts through reading and analysis. Results: First, the study found that technology‐supported learning environment research is in a growth phase, with core journals such as Interactive Learning Environments or Computers & Education. The findings show that a core research team comprised of such scholars as Hwang Gwo‐Jen, Lester James C. and Wong Lung‐Hsiang. Key nations of publishing and research strength are from China, the United States, the United Kingdom and the Netherlands. Second, the hot topics in research on technology‐supported learning environments were virtual learning environments, technology‐enabled learning environments and interactive learning environments. Nine study specifics were derived from these three topics such as moulding function, generating scenario, stimulating sensation, effect verification, design idea, research reflection, inquiry and research, virtual community, and mixed environment. Lastly, the frontier evolution offers a pattern of development from enhancing performance to changing mode to incorporating experience. Conclusion: Looking ahead, our research recommendations for the field of technology‐supported learning environments include a multifaceted approach. We should aim to enhance research designs and methodologies, develop contemporary guiding theories and strive for a balanced representation across various educational domains, expanding our scope to encompass all academic disciplines. In terms of practical application, it is imperative to focus on the design and implementation of technology‐supported learning environments from three critical perspectives: "change‐demand," "student‐learning" and "online‐offline." These approaches will collectively ensure that technology‐supported learning environments are both innovative and responsive to the diverse needs of the educational landscape. Lay Description: What is already known about this topic: Technology‐supported learning environments are currently a focal and hot research topic in the field of education.Although numerous studies have been conducted on the learning environment of technical support, there has yet to be a systematic and comprehensive review of the related research. What this paper adds: This study provides a comprehensive review of research on the technology‐supported learning environments over the past two decades.This study primarily presents an overview of research on the technology‐supported learning environments over the past two decades, focusing on main literature, research strength, hot topics and frontier evolution. Implications for practice and/or policy: Researchers need to further advance research on technology‐supported learning environments by enriching research designs and methods, constructing up‐to‐date guiding theories and achieving a balance across different educational domains while extending the reach to all disciplines.Educational practitioners need to pay attention to the design and implementation of technology‐supported learning environments from the three viewpoints of "change‐demand," "student‐learning" and "online‐offline." [ABSTRACT FROM AUTHOR]

This paper calculates the trade efficiency of China's exports to Africa by considering trade inefficiency factors, such as Chinese aid to Africa and Chinese contracted projects. Based on a stochastic frontier gravity model and data for China's exports to 38 African countries from 2010 to 2020, this study draws the following conclusions. First, trade inefficiencies, such as China's aid and contracted projects, play a positive role in promoting China's export trade to Africa. Second, the efficiency of China's export trade to Africa varies significantly in different regions, among which countries with high export trade efficiency are concentrated in North and South Africa. Third, the trade potential and trade expansion space of China's exports to Africa vary significantly among different product sectors, which provides much space for promoting trade policy. We highlight that China's government should develop differentiated regional trade policies due to regional heterogeneity in terms of export trade efficiency between China and African countries. [ABSTRACT FROM AUTHOR]

Aim: To investigate the seizure course of PCDH19 clustering epilepsy (PCDH19‐CE) in a cohort of female children in China. Method: This ambidirectional cohort study examined 113 female patients with PCDH19‐CE through multicentre collaboration. Prognostic factors for seizure freedom were evaluated by multivariate Cox regression analysis. Results: The median seizure course period from seizure onset was 6 years 6 months. Of 113 patients, 78% and 56% experienced seizure freedom for at least 1 year and at least 2 years respectively. In patients younger than 5 years (n = 30), 5 to 10 years (n = 52), and older than 10 years (n = 31), 57%, 81%, and 94% experienced at least 1 year of seizure freedom, and 32%, 52%, and 84% experienced at least 2 years of seizure freedom, respectively. However, 58% (65 out of 113) relapsed at least once after more than 1 year of seizure freedom without trigger exposure (40%) or because of common triggers, including fever (43%) and antiseizure medication (ASM) reduction (29%). There was an 84% risk of seizure relapse after ASM reduction attempts. The likelihood of seizure freedom decreased with early age at seizure onset and developmental delay. Interpretation: Patients with PCDH19‐CE exhibit increasing seizure freedom with age, but there is a risk of relapse. ASM reduction in children younger than 10 years old requires caution. Patients with early seizure onset and developmental delay have a reduced chance of seizure freedom. What this paper adds: The seizure freedom rate in PCDH19 clustering epilepsy gradually increases with age.The disease course is characterized by relapsing–remitting seizures.Antiseizure medication reduction requires caution for patients younger than 10 years of age.Patients with early seizure onset and developmental delay are less likely to achieve seizure freedom. [ABSTRACT FROM AUTHOR]

All provinces of China respond to the central government, predict future carbon dioxide emissions, and formulate action plans detailing how the province intends to fulfill its target of carbon emission peaking before 2030. Based on the bottom‐up energy consumption prediction and top‐down goal verification, this paper constructs a set of regional carbon dioxide emission prediction methods. Compared to the traditional bottom‐up prediction method, this method could simplify the parameters while improving the prediction accuracy. This model is used to predict and analyze the process of carbon dioxide emission peaking in Zhejiang. The results show that the mean absolute percentage error of the retrospective prediction value is only 1.56%. Zhejiang will reach carbon dioxide emission peaking around 2029–2030, and the peak value will be 569.7 million tons. Different factors have different effects on the process of carbon dioxide emission peaking. There is a strong correlation between the peak time of carbon dioxide emission and the production time of major energy‐consuming projects in Zhejiang. Meanwhile, if the 16 nuclear reactors are not put into operation, Zhejiang will not be able to achieve the goal of carbon dioxide emission peaking. Besides, the basic data used in this model is mainly from the local statistical departments of the region. Thus, it can be applied to other provinces and regions conveniently. [ABSTRACT FROM AUTHOR]

Moisture sources and transport processes play a critical part in hydrological cycle and determine regional precipitation. This paper utilizes the Water Accounting Model‐2layers (WAM‐2layers) and the ERA5 reanalysis data to track the sources of precipitation over the Pearl River Basin (PRB). The contribution of external moisture and the role of local recycling are investigated. The results show that during the period from 1980 to 2020, oceanic sources including the western North Pacific and Indian Oceans serve as the primary moisture sources of precipitation over the PRB. The contributions to total seasonal precipitation are respectively 62.57% in MAM, 54.79% in JJA, 43.70% in SON and 60.88% in DJF. By contrast, the contribution of local recycling is generally below 5.50%. In the dry years of 1994, 1997 and 2001, the contribution of terrestrial sources is about 19.22%; in the wet years of 1989, 2009 and 2011, the contribution is about 16.31%. The summer precipitation anomalies are mainly attributable to moisture anomalies from the Equatorial Indian Ocean in the wet years and from Southeast Asia in the dry years. Furthermore, vertically integrated moisture flux anomalies over the boundaries of the PRB are generally the result of anomalous wind rather than anomalous moisture. In the wet years, low‐pressure systems induce strong cyclonic moisture transports, increasing the PRB precipitation. In the dry years, high‐pressure anomalies over the PRB block the moisture transports from the Indian Ocean and western North Pacific. [ABSTRACT FROM AUTHOR]

Software effort estimation is a vital process in the software industry for successfully administering 5Ds of the software development life cycle (SDLC). The 5Ds stand for demand, development, direction, deployment, and designated cost of the software. Software development effort estimation (SDEE) is an effort prediction mechanism to calculate the effort for the development of the software product in order to minimize the challenges in the software field. Academics and practitioners are striving to identify which machine learning estimation technique yields more accurate results based on evaluation metrics, datasets, and other pertinent aspects. The feature selection techniques impact accuracy by selecting the main and relevant features in the dataset and eliminating the redundant and irrelevant features in the dataset. To achieve accurate estimations, the paper utilizes feature selection algorithms, along with various machine learning techniques, which predict the desired effort and the performance of the model has been measured in terms of prediction accuracy, R2 value, relative error, and mean absolute error. The datasets China and Maxwell are trained with the relevant features by applying feature selection algorithms, and estimation techniques are applied to predict the effort. The performance is compared with the regression models and feature selection techniques utilized by many authors previously. The result of the proposed methodology significantly gives the best performance with the combination of feature selection and estimation models than all regression models when applied alone, to both datasets. From the results, it is perceptible that random forest is performing well with the feature selection techniques and obtains the highest prediction accuracy of 99.33% with the China and 89.47% with the Maxwell datasets. [ABSTRACT FROM AUTHOR]

Objectives: This systematic review and meta‐analysis aimed to determine the prevalence of loneliness and social isolation among informal carers of individuals with dementia and to identify potential influencing factors. Methods: We conducted a comprehensive search across 10 electronic databases, including PubMed, Cochrane, Embase, Web of Science, PsycINFO, CINAHL, Scopus, Chinese Biomedical, China National Knowledge Internet, and WANFANG. Our search strategy covered the inception of the databases up to September 16, 2023, with an updated search conducted on March 8, 2024. Prevalence estimates of loneliness and social isolation, presented with 95% confidence intervals, were synthesized through meta‐analysis. Subgroup analyses and meta‐regression were employed to explore potential moderating variables and heterogeneity. Results: The study encompassed 27 research papers involving 11,134 informal carers from 17 different countries. The pooled prevalence of loneliness among informal carers of individuals with dementia was 50.8% (95% CI: 41.8%–59.8%), while the pooled prevalence of social isolation was 37.1% (95% CI: 26.7%–47.6%). Subgroup analyses and meta‐regression indicated that various factors significantly influenced the prevalence of loneliness and social isolation. These factors included the caregiving setting, study design, the intensity of loneliness, geographical location (continent), data collection time, and the choice of assessment tools. Conclusions: This study underscores the substantial prevalence of loneliness and social isolation among informal carers of individuals with dementia. It suggests that policymakers and healthcare providers should prioritize the development of targeted interventions and support systems to alleviate loneliness and social isolation within this vulnerable population. Key points: Informal carers of people with dementia contend with unique circumstances that render them susceptible to both loneliness and social isolation.There is a significant prevalence of loneliness and social isolation in informal carers of individuals with dementia.Several significant moderators influence the prevalence of loneliness and social isolation among informal carers of individuals with dementia.Moderator analysis can guide targeted interventions and support systems for at‐risk informal carers of people with dementia to alleviate loneliness and social isolation. [ABSTRACT FROM AUTHOR]

China has recently become an agent of intensified agricultural production in Southeast Asia by constructing large‐scale irrigation systems. Funded with Chinese development finance, such infrastructure projects have been interpreted as a 'spatial fix' for capital accumulation in China, which helps explain the shifting balance of power within the region's political economy. However, we argue that explaining the local outcomes of these projects requires mapping out Chinese development finance in relation to the multi‐scalar network of actors, circuits of capital, and struggles over water that produce irrigated landscapes. We draw on our joint research about the Chinese‐funded and built Kanghot Irrigation Development Project in Cambodia. We explain how the construction of Kanghot was shaped by the historical and political relations between China and Cambodia. Since completion in 2016, Kanghot irrigation has transformed agricultural production by enrolling farmers into a network of volatile commodity markets and harmful pest ecologies. There have also been ongoing community struggles over Kanghot's water due to the project's design and institutional management. By broadening the idea of infrastructure as spatial fix to include these material and social processes of agrarian landscape production, this paper advances a political ecology of Chinese development finance in Southeast Asia. [ABSTRACT FROM AUTHOR]

This study assesses the midsummer precipitation prediction over eastern China by the dynamic downscaling method. Based on the Climate Forecast System version 2 of the National Centers for Environmental Prediction and the Weather Research and Forecasting Model, the prediction performance of global and regional models on the July precipitation over eastern China is further analyzed by hindcast experiments from 1982 to 2010 and prediction experiments from 2011 to 2021. The results suggest that the regional model forced by the global model can noticeably improve the prediction skill for precipitation in eastern China, especially in the region from the South of North China to the Yangtze River Basin, referred as the northern China in this paper. In addition, we perform a diagnostic analysis of the reason for the improvement of the model prediction skill. The results indicate that the high resolution of the regional model and the refinement of physical process parameterizations contribute to improving the simulation ability for the East Asian atmospheric circulation pattern, heat flux, especially for the meridional teleconnection pattern in East Asia and the sensible heat flux in the northern China, thus further improving precipitation prediction. [ABSTRACT FROM AUTHOR]

Soil and water conservation and protection are of great importance to China, as the source of the Pearl and Xiang Rivers, and the main rare earth mining area, the ecology of Dongjiang River Basin, is very fragile. In this paper, the Chinese soil loss equation and the Geodetector method are used to analyze the spatial and temporal patterns and the impact factors of soil erosion in this area from 2016 to 2020. The results show that (1) Soil erosion intensity in the Dongjiang River Basin from 2016 to 2020 is mainly mild, with the soil erosion intensity in the Dongjiang River Basin in 2016 being the largest in five years. (2) The erosion modulus shows an increasing trend with the increase of slope. In terms of vegetation, when the vegetation cover is <30%, the soil erosion modulus is the largest, which is easy to induce soil erosion. When the vegetation cover is >60%, the soil erosion modulus is the smallest, which effectively slows down the occurrence of soil erosion. Rainfall is proportional to the soil erosion modulus and soil erosion. (3) The results of Geodetector indicate that the single factor sizes are land use > vegetation > slope > precipitation, and interaction factors all show a nonlinear enhancement. (4) The proper allocation of land use types, the prohibition of steep slopes for cultivation, and the restoration of forestry can effectively prevent and control soil erosion in the area. Core Ideas: Chinese soil loss equation enabled us to quantify soil erosion patterns.Geodetector unravels the underlying mechanisms responsible for spatial heterogeneity.The investigation highlighted the significant impact of intense rainfall events on steep slopes.Our analysis illustrates the shifting landscape of soil erosion within the Dongjiang River Basin.Our research sheds light on the key drivers behind this phenomenon. [ABSTRACT FROM AUTHOR]

More than 50 earthquakes occurred in the Luding region, including a 6.8‐magnitude earthquake on September 5, 2022, which induced huge amounts of geological disasters. As the main triggered factors for the geological disasters, the vegetation, precipitation and temperature show regular changes on the time axis. Thus, this paper based on the spatial–temporal evolution of the precipitation, temperature and normalized difference vegetation index (NDVI), focuses on the susceptibility of the Luding area using the weighted information content method (ICM) and analytic hierarchy process (AHP) for the post‐earthquake regional planning and reconstruction. In the Luding area, it was found that there were 18 debris flow gullies, and 470 geological disasters scattered in the debris flow gullies. The NDVI of the study area has been declining in recent years, with only about 12% of the NDVI increasing from 2015 to 2020. From 2011 to 2015, the annual cumulative precipitation has been dropping overall, while the July average temperature has increasing quadratic functions after decreasing trend. Furthermore, the studied area's geological hazards susceptibility was classified into five categories, with extremely low susceptibility accounting for 5.82%, low susceptibility accounting for 13.61%, moderate susceptibility accounting for 38.54%, high susceptibility accounting for 39.96% and extremely high susceptibility accounting for 2.08%. The geological disasters in moderate, high and extremely high susceptibility accounted for approximately 95.08%, and the covered area of geological disasters in moderate, high and extremely high susceptibility accounted for 88.06%. Through the receiver operating characteristic (ROC) curve of the model verification found the AUC = 0.743. The geological hazards susceptibility study results show that the approach is useful for the analysis and prevention of geological disasters. [ABSTRACT FROM AUTHOR]

The Dunhuang Basin, situated in western China along the Altyn Tagh Fault (ATF) zone, intersects the Tethys and Paleo‐Asian Ocean tectonic domains. Influenced by both the ATF system and the far‐field effects of the Qiangtang‐Lhasa‐Eurasia collision during the Mesozoic, the mechanism of the Jurassic sedimentary migration of the basin in response to tectonic movements is unclear so far. The paper uses a comprehensive approach, including field geological surveys, lithologic and lithofacies discern, stratigraphic relationships analysis and 2D seismic profile interpretation, to examine the distribution of Jurassic residual strata in the basin. The comprehensive results of our study suggest that the Dunhuang Basin exists as an isolated block with unique tectonic and sedimentary evolution characteristics. In the Early Jurassic, the Dunhuang Basin underwent initial rifting, leading to the formation of small segmented intermontane sags. This phase was marked by the coarse particle sedimentary system of alluvial fans and braided rivers, represented the near source rapid deposition in the initial formation period of the basin. Stratigraphic distribution was primarily influenced by pre‐Jurassic basement topography and was not significantly constrained by faulting during this period. The formation of these isolated discontinuous small intermontane sags indicates the segmented activities of the ATF in the Early Jurassic period. In the Middle Jurassic period, influenced by the ATF dextral strike‐slip faulting, sedimentation extended eastward and the depocenter migrated clockwise compared with the distribution of the Middle Jurassic strata within the Dunhuang Basin. This period witnessed the development of coal measure strata at the basin's margins and lacustrine fine‐grained clastic deposition in the centre. The segmented fracture of the ATF gradually initiated a unified dextral strike‐slip tectonic movement. In the Late Jurassic period, sedimentary strata were locally present in the Wanyao Sag but absent in other sags. The depocenter migrated counterclockwise compared with the distribution of Middle Jurassic strata within the Dunhuang Basin, due to regional uplift accompanied by the ATF sinistral strike‐slip faulting caused by the collision between the Lhasa Block and the Eurasia Plate. The depocenter migration of the Dunhuang Basin constrained within the ATF system from the Early to Middle and Late Jurassic can be attributed to the transition of the ATF strike‐slip faulting in context of the stress relaxation and compression between the collision of the Qiangtang and Lhasa blocks to the Eurasia Plate, respectively. [ABSTRACT FROM AUTHOR]

People in modern society are media multitaskers due to portable devices and omnipresent wireless networks, and college students are no exception. Previous studies have indicated that students' media multitasking behaviours in class harm their academic performances, and understanding the reasons for college students' engagement in such behaviour is meaningful. However, the literature takes media multitasking behaviour as an audience behaviour, which ignores the interaction between students and their surroundings. This study fills this gap by emphasizing the role of the social learning process. A survey was conducted in a public and comprehensive university in western China, and a total of 457 valid respondents were obtained. The results from PLS‐SEM revealed that college students' in‐class media multitasking behaviours were influenced by both observational learning (ie, imitating others) and reinforcement learning (ie, in‐class interventions), and this learning process was shaped by students' media multitasking self‐efficacy and self‐management of learning. These findings contribute to the current literature by providing a relatively new perspective for understanding college students' in‐class media multitasking behaviours, and suggestions about how to deal with such behaviours are also provided. Practitioner notesWhat is already known about this topic In‐class media multitasking behaviours (ICMMBs) damage college students' academic performance.College students' ICMMBs are affected by individual factors, such as internet addiction and sensation seeking.Social learning theory is widely adopted as a general theoretical background to explain those behaviours of which possible consequences are easily observed no matter from others or from individuals themselves.What this paper adds This work enriches the media multitasking literature by investigating the predictors of ICMMBs from a relatively new perspective, that is, the social learning perspective.This work also contributes to the literature on media multitasking by examining how the social learning process of college students' ICMMBs differs across students.This work extends the application scope of social learning theory to the context of college students' ICMMBs.Implications for practice and/or policy. The role of imitating others proves the importance of the learning atmosphere in classrooms, so teachers or lecturers should pay special attention to build a learning atmosphere away from ICMMBs.Some in‐class interventions should be established, especially the formal policy of schools to require students to hand in their smartphones or other media before class and students' own mindfulness of such behaviour.Teachers or lecturers should take actions to lower the academic performance expectations of students with higher media multitasking self‐efficacy (MMSE) because students with higher MMSE often overestimate their capabilities to have good performance when conducting other tasks simultaneously. [ABSTRACT FROM AUTHOR]

Online teacher professional development is a branch of online learning, which offers educators opportunities to refine their pedagogical skills and collaboratively construct knowledge within professional learning communities. During these interactions, teachers often engage in knowledge construction while exhibiting diverse role characteristics. Investigating these role characteristics and knowledge construction patterns can enhance the comprehension of the interaction process and contribute to online teacher professional development design, addressing challenges such as weak activity and low collaboration. This study examined the key roles that actively interact or contribute to the online community in online teacher professional development, analysing interactive participation characteristics and knowledge construction behaviour patterns. Data were collected from an online teacher professional development activity in China. Statistical, content and lag sequence analysis methods were employed. Results showed that the three key roles had weak interaction persistence and different content quality in interactive participation characteristics. Knowledge construction behaviours of key roles were generally at a high level, with different patterns observed. Finally, the study proposed practical implications based on key roles' interactive participation characteristics and knowledge construction behaviour patterns. These implications may inspire the learning designs that promote online interaction and deep learning based on role characteristics in online teacher professional development.Practitioner notesWhat is already known about this topicOnline teacher professional development is an evolving and increasingly recognized field within education, positioned as a subset of online learning. Within professional learning communities, teachers engage in knowledge construction and display varied role characteristics.In large‐scale online teacher professional development, only a few consistently maintained knowledge sharing and interaction. These active participants, or 'key roles', account for the majority of interactions.The interactive characteristics of the key roles are rarely discussed.What this paper addsKey roles, while actively participating in the online community, do not necessarily maintain consistent activity throughout the learning process.The interactive participation behaviour of key roles tends to learn more towards 'following' rather than 'initiating'.The quality of interactive content from key roles varies widely. While they are responsible for a significant portion of interactions, it is not guaranteed that these interactions will always be of high quality.Knowledge construction behaviour patterns vary among key roles. Overall, their knowledge construction behaviours are generally at a high level and primarily transit among high stages of knowledge construction.Implications for practiceMaintain continuous interaction and posting high‐quality content prove to be challenging even for key roles. Course administrators should monitor and strategically enhance their engagement to prevent them from becoming lurkers.Understanding the behaviour patterns of key roles offers insights for increasing interaction enthusiasm among active participants.It is necessary to develop role‐specific scripts in professional learning communities, to tailor content for opinion leaders, contributors and boundary spanners. [ABSTRACT FROM AUTHOR]

In the chemical flooding process, the premature breakthrough of chemical agents in production wells results in a large waste of chemical agents and increases the volume and processing difficulty of the produced fluids. The early warning method of chemical agent channeling can predict the strength of agent channeling in advance. The practice of chemical flooding shows that the production performance can be used for early warning of chemical agent channeling. In this paper, we analyze the relationship between cumulative oil production and cumulative polymer production of production wells in polymer–surfactant flooding. Three types of curves according to the enhanced oil production characteristics of chemical flooding, including convex type, S‐type, and concave type. We use the drop speed of the water–oil ratio and the rapid‐decline speed of water cut as early warning indicators to predict the channeling coefficient. A Latin hypercube experimental design method is used to design a polymer–surfactant flooding scheme with the main control factors of the channeling coefficient and early warning indicators. Numerical simulation is used to calculate samples of the channeling coefficient and early warning indicators under various conditions. The drop speed of the water–oil ratio reference value model and the rapid‐decline speed of the water cut reference value model are determined with a multiple regression method. A prediction model for the chemical agent channeling coefficient is established using the deviation coefficient of an early warning index. The method is applied in the Ng54‐61 polymer–surfactant flooding pilot area in the west of the Gudong Seventh District, Shengli Oilfield, China, and the error between the predicted result and the actual value is less than 10%. This research is helpful in taking effective antichanneling measures and improving the oil recovery degree of chemical flooding reservoirs. [ABSTRACT FROM AUTHOR]