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Triceps skinfold thickness (TSF) is a surrogate marker of subcutaneous fat. Evidence is limited about the association of sex-specific TSF with the risk of all-cause mortality among maintenance hemodialysis (MHD) patients. We aimed to investigate the longitudinal relationship of TSF with all-cause mortality among MHD patients. A multicenter prospective cohort study was performed in 1034 patients undergoing MHD. The primary outcome was all-cause mortality. Multivariable Cox proportional hazards models were used to evaluate the association of TSF with the risk of mortality. The mean (standard deviation) age of the study population was 54.1 (15.1) years. 599 (57.9%) of the participants were male. The median (interquartile range) of TSF was 9.7 (6.3–13.3 mm) in males and 12.7 (10.0–18.0 mm) in females. Over a median follow up of 4.4 years (interquartile range, 2.4-7.9 years), there were 548 (53.0%) deaths. When TSF was assessed as sex-specific quartiles, compared with those in quartile 1, the adjusted HRs (95%CIs) of all-cause mortality in quartile 2, quartile 3 and quartile 4 were 0.93 (0.73, 1.19), 0.75 (0.58, 0.97) and 0.69 (0.52, 0.92), respectively (P for trend =0.005). Moreover, when analyzed by sex, increased TSF (≥9.7 mm for males and ≥18mm for females) was significantly associated with a reduced risk of all-cause mortality (quartile 3-4 vs. quartile 1-2; HR, 0.70; 95%CI: 0.55, 0.90 in males; quartile 4 vs. Quartile 1-3; HR, 0.69; 95%CI: 0.48, 1.00 in females). In conclusion, high TSF was significantly associated with lower risk of all-cause mortality in MHD patients.
This paper provides an overview of the current status of ultrafast and ultra-intense lasers with peak powers exceeding 100 TW and examines the research activities in high-energy-density physics within China. Currently, 10 high-intensity lasers with powers over 100 TW are operational, and about 10 additional lasers are being constructed at various institutes and universities. These facilities operate either independently or are combined with one another, thereby offering substantial support for both Chinese and international research and development efforts in high-energy-density physics.
Knowledge of the critical periods of crop–weed competition is crucial for designing weed management strategies in cropping systems. In the Lower Yangtze Valley, China, field experiments were conducted in 2011 and 2012 to study the effect of interference from mixed natural weed populations on cotton growth and yield and to determine the critical period for weed control (CPWC) in direct-seeded cotton. Two treatments were applied: allowing weeds to infest the crop or keeping plots weed-free for increasing periods (0, 1, 2, 4, 6, 8, 10, 12, 14, and 20 wk) after crop emergence. The results show that mixed natural weed infestations led to 35- to 55-cm shorter cotton plants with stem diameters 10 to 13 mm smaller throughout the season, fitting well with modified Gompertz and logistic models, respectively. Season-long competition with weeds reduced the number of fruit branches per plant by 65% to 82%, decreasing boll number per plant by 86% to 96% and single boll weight by approximately 24%. Weed-free seed cotton yields ranged from 2,900 to 3,130 kg ha−1, while yield loss increased with the duration of weed infestation, reaching up to 83% to 96% compared with permanent weed-free plots. Modified Gompertz and logistic models were used to analyze the impact of increasing weed control duration and weed interference on relative seed cotton yield (percentage of season-long weed-free cotton), respectively. Based on a 5% yield loss threshold, the CPWC was found to be from 145 to 994 growing degree days (GDD), corresponding to 14 to 85 d after emergence (DAE). These findings emphasize the importance of implementing effective weed control measures from 14 to 85 DAE in the Lower Yangtze Valley to prevent crop losses exceeding a 5% yield loss threshold.
Temperature is the most significant abiotic factor that affects the growth and behaviour of insects. However, the mechanism by which the olfactory system senses thermal stimulus and combines temperature and chemical signals to trigger certain behavioural outputs is unclear. This study aimed to clarify the mechanism by which environmental temperature affects olfactory perception in Apis cerana cerana (Hymenoptera: Apidae). We used quantitative reverse-transcriptase polymerase chain reaction and western blotting to analyse the expression of AcerOr1 and AcerOr2. We also used electroantennography (EAG) assays to detect bee antennal responses to odorants at different temperatures. The results revealed that the mRNA expression of AcerOr1 and AcerOr2 was significantly influenced by temperature. These genes exhibited both increases and decreases in expression over time, with the most significant differential observed at 25 °C. Protein expression was similarly affected at 2 hours after different temperature treatments. Electroantennography responses from the antennae revealed that six odorant volatiles – N-(4-ethylphenyl)-2-((4-ethyl-5-(3-pyridinyl)-4H-1,2,4-triazol-3-yl)thio)acetamide (VUAA1), linolenic acid, eugenol, hexyl acetate, 1-nonanol, and lauroleic acid – had the most dramatic effect at 25 °C. The results indicate that environmental factors affecting the expression of AcerOr1 and AcerOr2 modulate olfactory recognition behaviour in A. cerana cerana, suggesting that changes in environmental temperature can affect bees’ olfactory preferences.
The Early-Middle Jurassic impression/compression macroflora and the palynoflora from the Qaidam Basin in the northeastern Qinghai-Xizang (Tibetan) Plateau have been well studied; however, fossil wood from this region has not been previously documented systematically. Here, we describe an anatomically well-preserved fossil wood specimen from the Lower Jurassic Huoshaoshan Formation at the Dameigou section in northern Qinghai Province, northwestern China. This fossil exhibits typical Metapodocarpoxylon Dupéron-Laudoueneix et Pons anatomy with usually araucarian radial tracheid pits and variable cross-field pits, representing a new record for Metapodocarpoxylon in the Qaidam Basin. This discovery indicates that trees with this type of wood anatomy were not confined to northern Gondwana but also grew in more northerly regions in Laurasia. The wood displays distinct growth rings, with abundant, well-formed earlywood and narrow latewood. This observation, along with previous interpretations based on macroflora, palynoflora and sedimentological data, suggests that a warm and humid climate with mild seasonality prevailed in the region during the Early Jurassic.
Kim Dong-ri and Seo Jeong-ju were prodigious personalities of Korean literature in the 20th century. The friendship of these prominent writers began in the 1930s and lasted their entire lives. Together they contributed to the reconstruction of the literary world in Korea after the end of the Japanese Occupation. This paper examines their biographies, auto-biographies, and different testimonies in an attempt to understand and appreciate not only the development and depth of their friendship, but also their legacy to Korean literature that was based on the literary and humanistic values they shared.
This study investigated how interlocutors’ linguistic competence affected L2 speakers’ lexical alignment and how the interlocutor effect was modulated by speakers’ proficiency. Chinese English as a Foreign Language speakers performed an online text-based picture-naming and -matching task with interlocutors of different perceived linguistic competences: an L1 interlocutor, an L2 interlocutor of higher proficiency or an L2 interlocutor of lower proficiency. We compared the magnitudes of L2 speakers’ lexical alignment across interlocutor conditions and examined whether the interlocutor effect varied with speakers’ L2 proficiency. Results showed that L2 speakers aligned more with the L1 interlocutor than the L2 interlocutor, indicating an effect of interlocutors’ language status (native vs. non-native). Moreover, L2 speakers’ lexical alignment with interlocutors of varying proficiency was differentially affected by their own proficiency levels. This study adds to the existing work by revealing the joint influence of the interlocutors’ competence and the speakers’ L2 proficiency on lexical alignment in L2 communication.
Parkinson disease (PD) is a neurological disorder that affects more than 10 million people worldwide, impacting both quality of life and marital relationships. Divorce rates are higher in Western compared to Eastern countries. However, it is unclear if there are differences in marital status after PD onset between the two regions.
Methods:
We searched MEDLINE and Embase from inception to March 31, 2024. Original studies discussing marital status in participants with PD were included. An unmarried status includes single, widowed, divorced or separated. Outcomes included the prevalence of being unmarried, measured as proportions, and the risk ratio (RR) of being unmarried in participants with PD relative to controls.
Results:
Out of 567 studies screened initially, 55 studies involving 3,723,966 participants were included. The prevalence of being unmarried was evaluated in 55 studies (25.16%; 95% CI: 21.52–29.18). The prevalence of being unmarried was significantly higher in countries in the West compared to the East (28.83%; 95% CI: 25.09–32.89 vs 17.47%; 95% CI: 12.10–24.57, p < 0.01). Compared to controls, the risk of being unmarried in PD participants after the onset of PD was significantly higher in the East (RR: 1.21, 95% CI: 0.91–1.60) compared to the West (RR: 0.87, 95% CI: 0.65–1.15).
Conclusions:
Our meta-analysis showed significantly higher rates of being unmarried in Western compared to Eastern countries. After PD onset, participants in the East were at significantly higher risk of being unmarried compared to participants in the West, suggesting that differences in cultural practices, societal norms and healthcare systems may affect marital status outcomes in PD participants.
Compared with first-tier cities in China that are of abundant funds and resources like legions of high-level hospitals, the degree of nurses’ disaster nursing preparedness in non-first-tier cities (inland) is relatively lower. For example, nurses’ knowledge reserve of specific disasters is not comprehensive enough. And nurses are diffident when it comes to the skills of handling disaster rescue. Furthermore, their understanding of the roles to take in disaster coordination management is ambiguous. Conquering these challenges could be conducive to the improvement of local medical staffs’ confidence and capabilities in disaster relief. Consequently, the objective of this research is to probe for approaches of improving the strategies of disaster nursing in Chinese small cities.
Methods
In order to ascertain the factors that influence disaster preparedness, a cross-sectional study with SPSS 25.0 data analysis method is adopted. The sample of the study is nursing personnel from 4 comprehensive hospitals at or above the second level in Yongcheng, Henan Province, China, as nurses are first-line responders in disasters and pandemics and the largest group in disaster rescue.
Results
From 813 distributed questionnaires, 784 completed questionnaires were returned, for a response rate of 96.43%. The total average score of the Disaster Preparedness Evaluation Tool is 146.76 ± 34.98, and the average score of all the entries is 3.26 ± 0.45, indicating moderate performance. The results indicate that age affects post disaster management (P < 0.05), meaning that as age increases, the scores also tend to be higher. Work experience, professional titles, disaster relief experience, and disaster training significantly differ in terms of knowledge, skills, post disaster management, and total scores (P < 0.01). The result of multivariate analysis indicates that titles, disaster relief experiences, and disaster training are the main factors affecting the disaster preparedness of nurses in Chinese non-first-tier (inland) cities(P < 0.05).
Conclusions
For the sake of upgrading the efficiency of disaster nursing preparedness in Chinese non-first-tier (inland) cities with limited funds and resources, it is very important to formulate training and education methods that are suitable for the local area, conduct characteristic simulation exercises, and expand experience exchange between hospitals. It’s certain that the local government will also play an important role in coordinating and organizing the division of labor, resource allocation, and management of hospitals at all levels in different phases of disasters, which can help nursing staff have a clearer understanding of their roles when preparing for disasters.
This study aimed to develop a predictive tool for identifying individuals with high antibody titers crucial for recruiting COVID-19 convalescent plasma (CCP) donors and to assess the quality and storage changes of CCP. A convenience sample of 110 plasma donors was recruited, of which 75 met the study criteria. Using univariate logistic regression and random forest, 6 significant factors were identified, leading to the development of a nomogram. Receiver operating characteristic curves, calibration plots, and decision curve analysis (DCA) evaluated the nomogram’s discrimination, calibration, and clinical utility. The nomogram indicated that females aged 18 to 26, blood type O, receiving 1 to 2 COVID-19 vaccine doses, experiencing 2 symptoms during infection, and donating plasma 41 to 150 days after symptom onset had higher likelihoods of high antibody titres. Nomogram’s AUC was 0.853 with good calibration. DCA showed clinical benefit within 9% ~ 90% thresholds. CCP quality was qualified, with stable antibody titres over 6 months (P > 0.05). These findings highlight developing predictive tools to identify suitable CCP donors and emphasize the stability of CCP quality over time, suggesting its potential for long-term storage.
Evidence is largely limited regarding the extent to which abnormal behavioural profiles, including physical inactivity, sedentary behaviour and inadequate sleep duration, impact long-term health conditions in individuals with pre-existing depression.
Aims
To investigate the associations between accelerometer-derived daily movement behaviours and mortality in individuals with pre-existing depression.
Method
Between 2013 and 2015, a total of 10 914 individuals with pre-existing depression were identified from the UK Biobank through multiple sources including self-reported symptoms, records of antidepressant usage and diagnostic recording based on the 10th Revision of the International Classification of Diseases (ICD-10) codes F32–F33. These participants were subsequently followed up until 2021. Wrist-worn accelerometers were used for objective measurement of sleep duration, sedentary behaviour, moderate-to-vigorous physical activity (MVPA) and light physical activity (LPA) over a span of seven consecutive days.
Results
During a median follow-up of 6.9 years, 434 deaths occurred among individuals with pre-existing depression. We observed a U-shaped association between sleep duration and mortality in individuals with pre-existing depression, with the lowest risk occurring at approximately 9 h/day. Both MVPA and LPA exhibited an L-shaped pattern in relation to mortality, indicating that engaging in higher levels of physical activity was associated with lower risk of mortality in individuals with pre-existing depression, but the beneficial effect reached a plateau after 50 min/day for MVPA and 350 min/day for LPA. We found a positive association between sedentary time and mortality, and the risk apparently increased above 8 h/day. Moreover, substituting 1 hour/day of sedentary time with LPA or MVPA was significantly associated with a 12% (hazard ratio: 0.88, 95% CI: 0.83–0.94) and 24% (hazard ratio: 0.76, 95% CI: 0.61–0.94) lower risk of mortality, respectively.
Conclusions
Our study found the beneficial effect of adequate sleep duration, high levels of physical activity and short sedentary time on risk of mortality among individuals with pre-existing depression.
Compacted bentonite, used as an engineering barrier for permanent containment of high-level radioactive waste, is susceptible to mineral evolution resulting in compromise of the expected barrier performance due to alkaline–thermal chemical interaction in the near-field. To elucidate the mineral-evolution mechanisms within bentonite and the transformation of the nuclide adsorption properties during that period, experimental evolution of bentonite was conducted in a NaOH solution with a pH of 14 at temperatures ranging from 60 to 120°C. The results showed that temperature significantly affects the stability of minerals in bentonite under alkali conditions. The dissolution rate of fine-grained cristobalite in bentonite exceeds that of smectite, with the phase-transition products of smectite being temperature-dependent. As the temperature rises, smectite experiences a three-stage transformation: initially, at 60°C, the lattice structure thins due to the collapse of the octahedral sheets; at 80°C, the lattice disintegrates and reorganizes into a loose framework akin to albite; and by 100°C, it further reorganizes into a denser framework resembling analcime. The adsorption properties of bentonite exhibit a peak inflection point at 80°C, where the dissolution of the smectite lattice eliminates interlayer pores and exposes numerous polar or negatively charged sites which results in a decrease in specific surface area and an increase in cation exchange capacity and adsorption capacity of Eu3+. This research provides insights into the intricate evolution of bentonite minerals and the associated changes in radionuclide adsorption capacity, contributing to a better understanding of the stability of bentonite barriers and the effective long-term containment of nuclear waste.
Heavy metal being immobilised in the lattice of a mineral is beneficial for its removal, recovery and reuse from wastewater. It is therefore essential to determine how heavy metals can be transferred into minerals controllably. This work developed a potential way for transforming heavy metals (Cu2+, Pb2+, Ni2+, Zn2+ and Cd2+) in wastewater into solids with high efficiency by introducing crystal seeds. The results of this work demonstrate that the addition of hydrotalcite and paratacamite crystal seeds can enhance heavy metal removal, both in simulated and actual acid mine wastewater. The removal rate can be increased by 18–47% and 31.8% for each heavy metal and total heavy metals in the presence of each crystal seed, respectively. Additionally, the recovery products of heavy metals can be changed by crystal seeds. In the systems without crystal seeds, the recovery products are mixtures; but the pure phase can be achieved if crystal seeds are added. For instance, in the Cu2+–Al3+–Cl– system without crystal seeds, the products were mixtures of paratacamite and layered double hydroxides (LDHs). But the products could be altered easily by hydrotalcite or paratacamite seeds. Paratacamite seeds induced Cu2+ to form paratacamite at pH 5.0, but a mixture of LDHs and paratacamite at pH 7.0. In contrast, hydrotalcite seeds induced Cu2+ to form LDHs at both pH 5.0 and 7.0. From the perspective of enthalpies of formation, CuAl-LDH and paratacamite are potential products, but the former is generally more stable, and thus it becomes the dominant product of the reaction systems using crystal seeds. It is believed that the crystal seeds can accelerate the dynamic process of LDH formation. This work suggests a controllable way for heavy metals removal, recovery and reuse.
In the soil environment, divalent heavy metal ions often interact with trivalent metal ions to form hydrotalcite supergroup nanominerals (also known as natural layered double hydroxides, LDHs), effectively immobilising heavy metals within the minerals structure. Concurrently, these LDH minerals also show high surface reactivity and can adsorb surrounding heavy metal ions, thus they play a significant role in heavy metal pollution purification. However, the impact of the subsequent geochemical evolution of heavy-metal-containing LDHs on the migration and transformation of structural and surface-adsorbed heavy metals as well as its surface reactivity towards surrounding heavy metals remains unclear. Herein, Ni(II)Fe(III)-LDH and Co(II)Al(III)-LDH were taken as examples to reveal the influence of redox evolution on the immobilisation of structural and adsorbed heavy metals. The results of this work indicate that the oxidative–reductive alternating evolution of structural Ni, Fe and Co elements constrain the transformation of heavy metals, as well as their bioavailability greatly. The oxidative–reductive alternating evolution helped reduce the content of bioavailable heavy metals in exchangeable and carbonate-bounded states. It can also enhance the integration of heavy metals with the LDH structure and help transform heavy metals into residual states, thereby reducing their mobility and bioavailability. However, oxidative–reductive evolution significantly reduced the surface reactivity of LDHs, diminishing their interface locking ability for surrounding heavy metal ions. This research provides foundational data for assessing the long-term environmental performance of LDHs.
In recent years, unmanned aerial vehicles (UAVs) have been applied in underground mine inspection and other similar works depending on their versatility and mobility. However, accurate localization of UAVs in perceptually degraded mines is full of challenges due to the harsh light conditions and similar roadway structures. Due to the unique characteristics of the underground mines, this paper proposes a semantic knowledge database-based localization method for UAVs. By minimizing the spatial point-to-edge distance and point-to-plane distance, the relative pose constraint factor between keyframes is designed for UAV continuous pose estimation. To reduce the accumulated localization errors during the long-distance flight in a perceptual-degraded mine, a semantic knowledge database is established by segmenting the intersection point cloud from the prior map of the mine. The topological feature of the current keyframe is detected in real time during the UAV flight. The intersection position constraint factor is constructed by comparing the similarity between the topological feature of the current keyframe and the intersections in the semantic knowledge database. Combining the relative pose constraint factor of LiDAR keyframes and the intersection position constraint factor, the optimization model of the UAV pose factor graph is established to estimate UAV flight pose and eliminate the cumulative error. Two UAV localization experiments conducted on the simulated large-scale Edgar Mine and a mine-like indoor corridor indicate that the proposed UAV localization method can realize accurate localization during long-distance flight in degraded mines.
The resistance to fenoxaprop-P-ethyl, a herbicide that inhibits acetyl-CoA carboxylase (ACCase), has emerged in shortawn foxtail (Alopecurus aequalis Sobol.) since the 1990s, presenting a considerable challenge to wheat (Triticum aestivum L.) production in China. One of the primary mechanisms responsible for this high-level resistance is the presence of mutations at codons 1781, 2041, and 2078 in the ACCase gene. However, the conventional methods used to detect these mutations, such as polymerase chain reaction (PCR) and gene sequencing, are time-consuming and labor-intensive. To address this issue and enable the prompt and effective detection of these common ACCase mutations in A. aequalis, a loop-mediated isothermal amplification (LAMP) strategy was developed. The LAMP assay specifically targets the Ile-1781-Leu and Asp-2078-Gly mutations within the ACCase gene of A. aequalis. Through the optimization of primers, systems, and conditions, the LAMP assay enables rapid differentiation between wild-type individuals and mutants of A. aequalis carrying either of these two mutations. Including SYBR Green I dye in the final reaction mixtures enables detection of the target mutation through a noticeable color change that can be observed with the naked eye. It is noteworthy that the sensitivity of the LAMP assay was approximately 104-fold greater than that of conventional PCR methods. Additionally, a derived cleaved amplified polymorphic sequence (dCAPS) assay was established for each mutation to distinguish between homozygous and heterozygous mutants. Overall, the developed LAMP assay could efficiently detect the Ile-1781-Leu and Asp-2078-Gly mutations in the ACCase gene of A. aequalis, offering significant advantages for the monitoring and management of fenoxaprop-P-ethyl resistance.
Artificial sweeteners are generally used and recommended to alternate added sugar for health promotion. However, the health effects of artificial sweeteners remain unclear. In this study, we included 6371 participants from the National Health and Nutrition Examination Survey with artificial sweetener intake records. Logistic regression and Cox regression were applied to explore the associations between artificial sweeteners and risks of cardiometabolic disorders and mortality. Mendelian randomisation was performed to verify the causal associations. We observed that participants with higher consumption of artificial sweeteners were more likely to be female and older and have above medium socio-economic status. After multivariable adjustment, frequent consumers presented the OR (95 % CI) for hypertension (1·52 (1·29, 1·80)), hypercholesterolaemia (1·28 (1·10, 1·50)), diabetes (3·74 (3·06, 4·57)), obesity (1·52 (1·29, 1·80)), congestive heart failure (1·89 (1·35, 2·62)) and heart attack (1·51 (1·10, 2·04)). Mendelian randomisation confirmed the increased risks of hypertension and type 2 diabetes. Moreover, an increased risk of diabetic mortality was identified in participants who had artificial sweeteners ≥ 1 daily (HR = 2·62 (1·46, 4·69), P = 0·001). Higher consumption of artificial sweeteners is associated with increased risks of cardiometabolic disorders and diabetic mortality. These results suggest that using artificial sweeteners as sugar substitutes may not be beneficial.
Varicella is a vaccine-preventable infectious disease. Since 1 December 2018, the varicella vaccine has been included in the local Expanded Programme on Immunization (EPI) in Wuxi, China, and children born after 1 December 2014 are eligible for free vaccination. To evaluate the effect of varicella vaccination in Wuxi city, we selected 382 397 children born from 2012 to 2016 as subjects. Their disease data were obtained from the Chinese Disease Prevention and Control Information System, and their vaccination data were obtained from the Jiangsu Province Vaccination Integrated Service Management Information System. The incidence of breakthrough varicella cases increased in the first 4 years and reached the peak in the fifth year. With the increase of vaccination rate, the incidence of varicella decreased significantly. The vaccine effectiveness (VE) was found to be 88.17%–95.78% for one dose and 98.65%–99.93% for two doses. Although the VE per dose decreased from 99.57% in the first year to 93.04% in the eighth year, it remained high. These findings confirmed the effectiveness of varicella vaccination in children, supported the use of a two-dose varicella vaccination strategy to achieve better protection, and provided important insights into the optimal vaccination strategy for varicella prevention in children.