Nd-Hf isotope evolution in arc magmas has been widely used to trace the advance and retreat of subduction zones over time. However, the reliability of this method has been questioned. One way to assess its validity is by comparing it with LaN/YbN or Sr/Yb ratios, which are well-established proxies for crustal thickness. In this study, we present new Nd-Hf isotopic data from the Permian to Triassic Hangay Batholith in the western Mongol-Okhotsk Orogen (Hangay Mountains), to evaluate the role of Nd-Hf isotopes in tracing crustal thickness variations along convergent plate boundaries. Our results show that granitoids from the Hangay Batholith likely originated from partial melting of crustal materials, with a possible mantle contribution. These granitoids have moderate εNd(t) and εHf(t) values, with no significant shift from Permian to Triassic, which contrasts with the continuous crustal thickening indicated by LaN/YbN ratios. This inconsistency between Nd-Hf isotope evolution and crustal thickness variation is likely due to the heterogeneous crustal architecture in this accretionary orogen. Our findings highlight the need for caution when linking Hf and Nd isotope evolution with extensional and contractional tectonics.

After right ventricular outflow tract obstruction reconstruction for CHD, surgical pulmonary valve replacement, or transcatheter pulmonary valve replacement may be performed if complicated by moderately severe or severe right ventricular outflow tract dysfunction. However, for patients whose anatomy is not suitable for transcatheter pulmonary valve replacement, surgical pulmonary valve replacement is the only option, but it has a higher rate of perioperative complications and longer hospitalisation for patients. In two cases of severe transcatheter pulmonary valve replacement in which percutaneous pulmonary valve implantation could not be performed directly due to the presence of a large right ventricle, a significant decrease in right ventricular function, and significant widening of the pulmonary arteries, we used a new hybridisation procedure to partially fold and reduce the diameter of the significantly widened pulmonary artery trunk without cardiopulmonary bypass by surgically opening the thorax in a median way, and then successfully implanted a percutaneous self-expanding pulmonary valve valve, with good immediate results in the postoperative period. The postoperative recovery was rapid and the recent results were excellent.

Fine particulate matter (PM2·5) is a known risk factor for heart failure (HF), while plant-based dietary patterns may help reduce HF risk. This study examined the combined impact of PM2·5 exposure and a plant-based diet on HF incidence. A total of 190 092 participants from the UK Biobank were included in this study. HF cases were identified through linkage to the UK National Health Services register, with follow-up lasting until October 2022 in England, August 2022 in Scotland and May 2022 in Wales. Annual mean PM2·5 concentration was obtained using a land use regression model, while the healthful plant-based diet index (hPDI) was calculated using the Oxford WebQ tool based on two or more 24-hour dietary assessments of seventeen major food groups. Cox proportional hazard models assessed the associations of PM2·5 and hPDI with HF risk, and interactions were evaluated on additive and multiplicative scales. During a median of 13·4-year follow-up, 4351 HF cases were recorded. Participants in the highest PM2·5 tertile had a 23 % increased HF risk (hazard ratio: 1·23, 95 % CI: 1·14, 1·32) compared with those in the lowest tertile. Moderate or high hPDI was associated with reduced HF risk relative to low hPDI. The lowest HF risk was observed in individuals with high hPDI and low PM2·5 exposure, underscoring the protective role of a plant-based diet, particularly in areas with lower PM2·5 levels. A healthy plant-based diet may mitigate HF risk, especially in populations exposed to lower PM2·5 levels.

This study elucidated the impacts of coenzyme Q10 (COQ10) supplementation in a high-fat diet (HFD) on growth, lipid metabolism and mitochondrial function in spotted seabass (Lateolabrax maculatus). Totally five diets were formulated: a diet with normal fat content (11 % lipid, NFD), a HFD (17 % lipid) and three additional diets by supplementing 5, 20 or 80 mg/kg of COQ10 to the HFD. After an 8-week culture period, samples were collected and analysed. The results demonstrated that COQ10 inclusion prevented the HFD-induced deterioration of growth performance and feed utilisation. COQ10 alleviated the deposition of saturated fatty acids following HFD intake and promoted the assimilation of n-3 and n-6 PUFA. Moreover, COQ10 administration inhibited the surge in serum transaminase activity and reduced hepatic lipid content following HFD ingestion, which was consistent with the results of oil red O staining. In addition, HFD feeding led to reduced hepatic citrate synthase and succinate dehydrogenase activities and decreased ATP content. Notably, COQ10 administration improved these indices and up-regulated the expression of mitochondrial biogenesis-related genes (pgc-1α, pgc-1β, nrf-1, tfam) and autophagy-related genes (pink1, mul1, atg5). In summary, supplementing 20–80 mg/kg of COQ10 in the HFD promoted growth performance, alleviated hepatic fat accumulation and enhanced liver mitochondrial function in spotted seabass.

Machine learning (ML) models have been developed to identify randomised controlled trials (RCTs) to accelerate systematic reviews (SRs). However, their use has been limited due to concerns about their performance and practical benefits. We developed a high-recall ensemble learning model using Cochrane RCT data to enhance the identification of RCTs for rapid title and abstract screening in SRs and evaluated the model externally with our annotated RCT datasets. Additionally, we assessed the practical impact in terms of labour time savings and recall improvement under two scenarios: ML-assisted double screening (where ML and one reviewer screened all citations in parallel) and ML-assisted stepwise screening (where ML flagged all potential RCTs, and at least two reviewers subsequently filtered the flagged citations). Our model achieved twice the precision compared to the existing SVM model while maintaining a recall of 0.99 in both internal and external tests. In a practical evaluation with ML-assisted double screening, our model led to significant labour time savings (average 45.4%) and improved recall (average 0.998 compared to 0.919 for a single reviewer). In ML-assisted stepwise screening, the model performed similarly to standard manual screening but with average labour time savings of 74.4%. In conclusion, compared with existing methods, the proposed model can reduce workload while maintaining comparable recall when identifying RCTs during the title and abstract screening stages, thereby accelerating SRs. We propose practical recommendations to effectively apply ML-assisted manual screening when conducting SRs, depending on reviewer availability (ML-assisted double screening) or time constraints (ML-assisted stepwise screening).

In this essay, I point out that the age-limit norm is misrepresented and misperceived in current analyses of leadership changes in the Chinese Communist Party for two reasons. First, the method employed in these analyses fails to capture the complexity of the rules that constitute the norm. Second, the method is ill-equipped to reflect the stratification of power at the top of the Party. To rectify these issues, I provide a structured framework to examine the age distribution patterns of membership changes at national Party congresses. I conclude that the age-limit norm functions as a nondemocratic mechanism for the Party and its top leaders to facilitate the exit of current powerholders and redistribute power en masse in a peaceful manner with reduced cost, enhanced transparency, and reasonable credibility. The framework I offer can help reveal the hidden significance and resilience of the age-limit norm, which has thus far been overlooked, obscured, or underestimated in current analyses.

Greenhouse gas (GHG) emissions from shipping contribute meaningfully to climate change. Despite significant efforts of the International Maritime Organization over recent decades, existing measures are still inadequate for achieving net-zero GHG emissions in the shipping sector and multilateral negotiations hold little promise for improvement. This article considers the polluter pays principle (PPP) as an alternative or additional pathway for tackling marine GHG emissions. The article focuses on the challenges in identifying polluters, which is the key issue that must be addressed before the PPP can be applied. Specifically, the article presents an analytical framework and examines various approaches to identifying marine GHG emissions polluters. Firstly, it identifies the polluter from a general perspective, using three approaches: examining the issue broadly, reviewing international conventions and European Union initiatives that incorporate the PPP, and analyzing selected domestic legislation reflecting the PPP. The article then focuses on maritime shipping, considering specifically two types of contract of affreightment – charterparties and bills of lading – while highlighting key factors in identifying the polluter. In conclusion, the assessment of causal links, along with operational and management decisions regarding the vessel, attribute the status of primary polluter to the shipowner, demise charterer, and time charterer.

Rhopalosiphum padi is an important grain pest, causing severe losses during crop production. As a systemic insecticide, flonicamid can control piercing-sucking pests efficiently. In our study, the lethal effects of flonicamid on the biological traits of R. padi were investigated via a life table approach. Flonicamid is highly efficiently toxic to R. padi, with an LC50 of 9.068 mg L−1. The adult longevity and fecundity of the R. padi F0 generation were markedly reduced under the LC25 and LC50 concentrations of flonicamid exposure. In addition, negative transgenerational effects on R. padi were observed under exposure to lethal concentrations of flonicamid, with noticeable decreases in the reproductive period, adult longevity, total longevity, and total fecundity of the F1 generation under the LC25 concentration of flonicamid. Furthermore, the third nymph stage (N3), preadult stage, duration of the adult pre-reproductive period, duration of the total pre-reproductive period, reproductive period, adult longevity, total longevity, and total fecundity of the F1 generation were significantly lower under treatment with the LC50 concentration of flonicamid. The life table parameters were subsequently analysed, revealing that the intrinsic rate of increase (rm) and the net reproductive rate (R0) were significantly lower but that the finite rate of increase (λ) and the mean generation time (T) were not significantly different under the LC25 and LC50 concentrations of flonicamid. These data are beneficial for grain aphid control and are critical for exploring the role of flonicamid in the integrated management of this key pest.

Quantum learning models hold the potential to bring computational advantages over the classical realm. As powerful quantum servers become available on the cloud, ensuring the protection of clients’ private data becomes crucial. By incorporating quantum homomorphic encryption schemes, we present a general framework that enables quantum delegated and federated learning with a computation-theoretical data privacy guarantee. We show that learning and inference under this framework feature substantially lower communication complexity compared with schemes based on blind quantum computing. In addition, in the proposed quantum federated learning scenario, there is less computational burden on local quantum devices from the client side, since the server can operate on encrypted quantum data without extracting any information. We further prove that certain quantum speedups in supervised learning carry over to private delegated learning scenarios employing quantum kernel methods. Our results provide a valuable guide toward privacy-guaranteed quantum learning on the cloud, which may benefit future studies and security-related applications.

The timing of corrective feedback (CF), alternatively called feedback timing, refers to the choice of a timepoint for providing corrections on second language (L2) errors or making comments on the appropriacy of L2 learners' verbal or nonverbal behaviors. A typical distinction related to the notion of feedback timing is between immediate and delayed feedback, but what constitutes immediate or delayed has been interpreted and defined in different ways. In one stream of research, immediate feedback is operationalized as feedback provided during a learning task and delayed feedback as feedback provided after a task is completed (Arroyo & Yilmaz, 2018*; Li Zhu & Ellis, 2016a*; Quinn, 2014*). One methodological variation in this distinction is interim feedback, which is provided after the first task is completed and before the second task is started (Li, Li, & Qian, under review). Interim feedback is relevant or possible when multiple tasks are performed. It refers to feedback provided during the interval(s) between tasks. Interim feedback is different from delayed feedback in that the latter refers to feedback provided after the task (if there is only one task) or all tasks (if there are multiple tasks) are completed and there is no further task performance following the feedback session. This way of conceptualizing feedback timing is based on the positioning of feedback during a task cycle, instead of the proximity to errors. Another way to examine feedback timing is to distinguish feedback provided immediately after an error is made and feedback delayed until a later time in the instructional cycle, such as one week later (Lavolette, Polio, & Kahng, 2015*). In this case, both immediate and delayed feedback can occur either during or after the completion of a learning task. A third way is to define feedback timing options in terms of their relation to instruction, namely whether feedback is provided immediately after explicit instruction or at a later stage after learners complete some practice activities (Fu & Li, 2022*). It should be clarified that this way of operationalizing feedback timing is markedly different from that in other studies in that it focuses on feedback's relation to instruction instead of errors. To conclude this section, it is necessary to point out that the conceptualization and operationalization of feedback timing should be reconsidered in L2 research. Feedback timing is not merely a matter of the length of interval or the distance between errors and feedback, and other parameters of the instructional system where errors occur are also involved or relevant, such as the distance between feedback and instruction, the positioning of feedback in a task cycle (such as within, after, or between tasks), and so on. These parameters are important because they contribute to the effectiveness of different timing options. Despite the variation in the operationalization of feedback timing, we argue that it is a unified construct that is theoretically justifiable, empirically examinable, and pedagogically valuable.

This study aims to evaluate the impact of low-carbohydrate diet, balanced dietary guidance and pharmacotherapy on weight loss among individuals with overweight or obesity over a period of 3 months. The study involves 339 individuals with overweight or obesity and received weight loss treatment at the Department of Clinical Nutrition at the Second Affiliated Hospital of Zhejiang University, School of Medicine, between 1 January 2020 and 31 December 2023. The primary outcome is the percentage weight loss. Among the studied patients, the majority chose low-carbohydrate diet as their primary treatment (168 (49·56 %)), followed by balanced dietary guidance (139 (41·00 %)) and pharmacotherapy (32 (9·44 %)). The total percentage weight loss for patients who were followed up for 1 month, 2 months and 3 months was 4·98 (3·04, 6·29) %, 7·93 (5·42, 7·93) % and 10·71 (7·74, 13·83) %, respectively. Multivariable logistic regression analysis identified low-carbohydrate diet as an independent factor associated with percentage weight loss of ≥ 3 % and ≥ 5 % at 1 month (OR = 0·461, P < 0·05; OR = 0·349, P < 0·001). The results showed that a low-carbohydrate diet was an effective weight loss strategy in the short term. However, its long-term effects were comparable to those observed with balanced dietary guidance and pharmacotherapy.

Characterised by the extensive use of obsidian, a blade-based tool inventory and microblade technology, the late Upper Palaeolithic lithic assemblages of the Changbaishan Mountains are associated with the increasingly cold climatic conditions of Marine Isotope Stage 2, yet most remain poorly dated. Here, the authors present new radiocarbon dates associated with evolving blade and microblade toolkits at Helong Dadong, north-east China. At 27 300–24 100 BP, the lower cultural layers contain some of the earliest microblade technology in north-east Asia and highlight the importance of the Changbaishan Mountains in understanding changing hunter-gatherer lifeways in this region during MIS 2.

Gene expression studies in organisms are often conducted using reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR), and the accuracy of RT-qPCR results relies on the stability of reference genes. We examined ten candidate reference genes in Sclerodermus guani, a parasitoid wasp that is a natural enemy of long-horned beetle pests in forestry, including ACT, EF1α, Hsc70, Hsp70, SRSF7, α-tubulin, RPL7A, 18S, 28S, and SOD1, regarding variable biotic and abiotic factors such as body part, life stage, hormone, diet, and temperature. Data were analysed using four dedicated algorithms (ΔCt, BestKeeper, NormFinder, and geNorm) and one comparative tool (RefFinder). Our results showed that the most stable reference genes were RPL7A and EF1α regarding the body part, SRSF7 and Hsc70 regarding the diet, RPL7A and α-tubulin regarding the hormone, SRSF7 and RPL7A regarding the life stage, and SRSF7 and α-tubulin regarding temperature. To ascertain the applicability of specific reference genes, the expression level of the target gene (ACPase) was estimated regarding the body part using the most stable reference genes, RPL7A and EF1α, and the least stable one, SOD1. The highest expression level of ACPase was observed in the abdomen, and the validity of RPL7A and EF1α was confirmed. This study provides, for the first time, an extensive list of reliable reference genes for molecular biology studies in S. guani.

This paper retrospectively analysed the prevalence of macrolide-resistant Mycoplasma pneumoniae (MRMP) in some parts of China. Between January 2013 and December 2019, we collected 4,145 respiratory samples, including pharyngeal swabs and alveolar lavage fluid. The highest PCR-positive rate of M. pneumoniae was 74.5% in Beijing, the highest resistance rate was 100% in Shanghai, and Gansu was the lowest with 20%. The highest PCR-positive rate of M. pneumoniae was 74.5% in 2013, and the highest MRMP was 97.4% in 2019; the PCR-positive rate of M. pneumoniae for adults in Beijing was 17.9% and the MRMP was 10.48%. Among the children diagnosed with community-acquired pneumonia (CAP), the PCR-positive and macrolide-resistant rates of M. pneumoniae were both higher in the severe ones. A2063G in domain V of 23S rRNA was the major macrolide-resistant mutation, accounting for more than 90%. The MIC values of all MRMP to erythromycin and azithromycin were ≥ 64 μg/ml, and the MICs of tetracycline and levofloxacin were ≤ 0.5 μg/ml and ≤ 1 μg/ml, respectively. The macrolide resistance varied in different regions and years. Among inpatients, the macrolide-resistant rate was higher in severe pneumonia. A2063G was the common mutation, and we found no resistance to tetracycline and levofloxacin.