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Abstract Background To clarify the fat attenuation index (FAI) change trend of peri-saphenous vein graft (SVG) and determine the association between FAI and graft disease progression based on CCTA images. Methods Patients with venous coronary artery bypass grafts (CABGs) were consecutively enrolled in this retrospective study. In study 1, 72 patients who had undergone 1, 3, and 5 years of CCTA examinations without graft occlusion were recruited, and generalized estimation equation was used to analyze the peri-SVG FAI change trend over time. In study 2, 42 patients with graft disease progression and 84 patients as controls were propensity score-matched. Generalized linear mixed model and continuous net reclassification improvement (NRI) were used for assessing the associations with graft disease progression. Multivariable Cox regression analysis was used for assessing risk factors predicting cardiac events. Results In study 1, both the FAI of proximal right coronary artery and SVG decreased over time. In study 2, the 1-year CTA-derived FAI of grafts and graft anastomosis were independent indicators of graft disease progression at the 3-year CCTA follow-up (graft: odds ratio [OR] = 1.106; 95% confidence interval [CI] = 1.030–1.188, P = 0.006; graft anastomosis: OR = 1.170, 95% CI = 1.091–1.254, P

Abstract Accurate climate projections are critical for various applications and impact assessments in environmental science and management. This study presents HiCPC (High-resolution CMIP6 downscaled daily Climate Projections over China), a novel dataset tailored to China’s specific needs. HiCPC leverages outputs from 22 global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). To address inherent biases in daily GCM simulations, an advanced Bias Correction and Spatial Disaggregation (BCSD) method is employed, using the China Meteorological Forcing Dataset (CMFD) as a reference. HiCPC offers detailed daily precipitation and temperature data across China at an enhanced spatial resolution of 0.1° × 0.1°. It covers both the historical period (1979–2014) and future projections (2015–2100) based on four CMIP6 Shared Socioeconomic Pathways (SSPs) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0, and SSP5-8.5). Upon validation, HiCPC demonstrates good performance, surpassing CMIP6 GCMs across the historical period. This reinforces its significance for essential research in climate change evaluation and its associated implications within China.

Abstract Background The deformation of oral and maxillofacial region leads to not only the damage of morphology and function, but also a series of aesthetic and psychological problems, severely affecting the quality of life of patients. Oral tissue engineering refers to developing biomaterials for repair or regeneration, with the application of tissue engineering technologies. This has become an area of increasing prominence. Current biologically inert materials are insufficient to fulfill clinical requirements. Therefore, tissue-engineered biomaterials with bioactive, even bionic properties are desperately needed. Main body The complexity of the anatomy and the diversity of tissue types of oral and maxillofacial region pose great challenges to the regeneration, in the aspects of both biomaterials and manufacturing technologies. Biomaterials in clinical practice or research have evolved from natural materials to synthetic materials, from homogeneous materials to multiple composite materials. And now composite materials have increasingly demonstrated their advantages in terms of physicochemical and biological properties over conventional materials. In terms of manufacturing, traditional coating, sintering, and milling technologies can no longer satisfy the requirements for high-precision bionic structures of oral-tissue-engineering biomaterials. Scientists have turned to biofabrication technologies such as microfluidics and additive manufacturing. Short conclusion This review aims to summarize the noteworthy advancements made in biomaterials of oral tissue engineering. We outlined the current biomaterials and manufacturing technologies and focused on various applications of these materials that may be connected to clinical treatment and research. We also suggested the future direction of development for biomaterials in oral tissue engineering. In future, biomaterials characterized by precision, functionalization, and individualization will be manufactured through digital, microfluidic, and 3D printing technologies. Graphical abstract

AIM: To study the degree of astigmatism, axial distribution and axial symmetry pattern of binocular astigmatism in primary and secondary school students aged 7-18 years with myopia.METHODS:A total of 239 cases(478 eyes)of primary and secondary school students aged 7-18 years who underwent keratoplasty for myopia correction at the Fifth Affiliated Hospital of Zhengzhou University from 2020 to 2022 were randomly selected, and optometry was performed under ciliary muscle paralysis and was statistically analyzed.RESULTS:Astigmatism degree: 0.25 to 1.00 D accounted for 78.5%, 1.25 to 2.00 D accounted for 17.1%, and >2.00 D accounted for 4.4%. The axial distribution of astigmatism: 86.6% was astigmatism with the rule, 5.9% was astigmatism against the rule, and 7.5% was oblique astigmatism; both genders and different astigmatism degrees were dominated by astigmatism with the rule, and there were differences with the other two axes(both P

Abstract Background Intestinal obstruction represents a severe intestinal disease associated with higher mortality rates. However, the determinants of mortality in patients with intestinal obstruction remain inadequately understood. This study sought to elucidate the potential risk factors associated with mortality in the context of intestinal obstruction during the COVID-19 pandemic. Methods A retrospective analysis was performed on a cohort of 227 patients diagnosed with intestinal obstruction at the First Hospital of Hebei Medical University, spanning the period from September 7, 2022, to January 7, 2023. The primary endpoint of the study was mortality within four weeks following discharge. Univariate and multivariable logistic regression models were utilized to evaluate the risk factors associated with mortality outcomes. Results A cohort of 227 patients diagnosed with intestinal obstruction (median age, 59.02 years [IQR, 48.95–70.85 years]) was included in our study. Malignant bowel obstruction (MBO) and COVID-19 were identified as independent risk factors for mortality among these patients. Notably, the mortality rate increased significantly to 38.46% when MBO was concomitant with COVID-19. Furthermore, postoperative pulmonary complications (PPC) (OR, 54.21 [death]; 95% CI, 3.17-926.31), gastric cancer (OR, 9.71 [death]; 95% CI, 1.38–68.18), VTE (Caprini Score ≥ 5) (OR, 7.64 [death]; 95% CI, 1.37–42.51), and COVID-19 (OR, 5.72 [death]; 95% CI, 1.01–32.29) were all determined to be independent risk factors for postoperative mortality. Additionally, gastric cancer could have emerged as one of the most severe risk factors for mortality in individuals with intestinal obstruction within the cohort of cancer patients, of which gastric cancer exhibited higher mortality rates compared to individuals with other forms of cancer. Conclusion The study identifies MBO, gastric cancer, COVID-19, PPC, and VTE as potential risk factors for mortality in cases of intestinal obstruction. These findings highlight the necessity for continuous monitoring of indicators related to these mortality risk factors and their associated complications, thereby offering valuable insights for the management and treatment of intestinal obstruction.

As an important part of food quality management, the detection of food hazard factors and safety risk prediction have always been a research hotspot. In order to better carry out related work in the future, this article reviews research progress on conventional methods for the detection of food hazard factors, and introduces new methods for the detection of food hazard factors such as nanozymes, clustered regularly interspaced short palindromic repeats/CRISPR-associated proteins (CRISPR/Cas) sensors and nuclear magnetic resonance (NMR) spectroscopy and the application of new materials such as magnetic covalent organic frameworks in this field. Then, it summarizes the application of subjective weighting, machine learning and deep learning in food safety risk prediction. Finally, the advantages and disadvantages of each method are analyzed, and future research directions are discussed.

【Objective】The study aims to explore the effects of tetracycline (TC) stress on the growth and physiological characteristics of leafy vegetables, and to provide a theoretical basis for researches on the toxic effects of antibiotics on plants.【Method】Shanghai green, pakchoi, Chinese cabbage and lettuce were taken as experimental subjects. The simulated culture method was adopted in the laboratory. The effects of different concentrations of TC in soil (0-500 mg/kg) on the growth (germination rate, plant height, aboveground fresh weight) and physiological and biochemical indexes (chlorophyll, MDA, SOD, POD and CAT) of four vegetables were studied.【Result】The germination rate of the four tested vegetables gradually decreased with the increase of TC concentration, the plant height and aboveground fresh weight of Shanghai green and pakchoi gradually increased under TC stress at low concentrations (10, 50, 100 mg/kg), and gradually decreased under TC stress at high concentrations (300, 500 mg/kg). The maximum value reached at 100 mg/kg TC treatment. The plant height and aboveground fresh weight of Chinese cabbage and lettuce decreased gradually with the increase of TC concentration. The chlorophyll contents of pakchoi, Chinese cabbage and lettuce increased under TC stress at low concentrations (10, 50, 100 mg/kg), while the chlorophyll content of Shanghai green decreased under TC stress. The MDA activity of four vegetables increased with the increase of TC concentration, and was significantly higher than that of control under 500 mg/kg TC treatment. The CAT activity of Shanghai green, lettuce and pakchoi was the highest under the treatment of 10 mg/kg TC, and the CAT activity of Chinese cabbage was the highest under the treatment of 50 mg/kg TC. The SOD activity of Chinese cabbage and Shanghai green was the highest at 100 mg/kg TC treatment, which was 21.12% and 22.33% higher than that of the control, while the SOD activity of pakchoi and lettuce decreased with the increase of TC concentration. The POD activity of Chinese cabbage, lettuce, Shanghai green and pakchoi was the highest at 10, 50, 100 and 500 mg/kg TC concentration, respectively, which was 0.85%, 14.16%, 8.20% and 24.79% higher than that of control.【Conclusion】The four vegetables exhibited different sensitivities to TC. TC inhibited the growth of cabbage and lettuce, while promoting the growth of Shanghai green and Chinese cabbage at low concentrations (10, 50, 100 mg/kg). However, under high concentrations (300, 500 mg/kg), growth inhibition occurred, intensifying with the increase of TC concentration. High TC stress increased plant cell damage in all four vegetable species and led to damage in the antioxidant enzyme system.

Abstract Background Previous studies have linked adolescent motherhood to adverse neurodevelopmental outcomes in offspring, yet the sex-specific effect and underlying mechanisms remain unclear. Methods This study included 6952 children aged 9–11 from the Adolescent Brain Cognitive Development study. The exposed group consisted of children of mothers

This prospective, observer-masked, randomized clinical trial was conducted between December 2018 and June 2021 at Eye Hospital, China Academy of Chinese Medical Sciences. A total of 45 glaucoma patients from Beijing, China, were enrolled in this clinical trial to compare the short-term efficacy of primary single-selective laser trabeculoplasty (SLT) to 0.005% latanoprost eye drops for the treatment of 24-h intraocular pressure (IOP) in patients with newly diagnosed primary open angle glaucoma (POAG) and ocular hypertension (OHT). Both SLT and latanoprost significantly decreased mean 24-h IOP and peak IOP, although the latanoprost group effect was more potent when compared to the SLT group (both Ps

Particularly in the field of education, technological developments are both quick and vast. Technology such as video conference utilization is a requirement that must be fulfilled. The goals of this study were to: (1) investigate students' perceptions of Jitsi Meet as an effective educational tool; and (2) investigate the impact of Jitsi Meet on EFL learners' perceptions of it as an aid to teaching. The qualitative technique was employed in this study, and the TAM (Technology Acceptance Model) by Davis (1989) served as the theoretical foundation. This research used three instruments: the researcher, an online questionnaire, and interviews. The findings of this study revealed that students had a good attitude about the usage of Jitsi Meet as a learning tool in the EFL classroom, particularly for virtual learning. Jitsi Meet is the ideal option for use as a meeting or discussion tool in and out of the classroom. This research also indicated that some students are willing to utilize Jitsi Meet in the upcoming by its time and location flexibility, minimum internet bandwidth requirements, and multitasking capabilities. However, there are other factors to consider, such as internet reliability and the development of additional learning functions.

The timely and accurate prediction of maize (Zea mays L.) yields prior to harvest is critical for food security and agricultural policy development. Currently, many researchers are using machine learning and deep learning to predict maize yields in specific regions with high accuracy. However, existing methods typically have two limitations. One is that they ignore the extensive correlation in maize planting data, such as the association of maize yields between adjacent planting locations and the combined effect of meteorological features and maize traits on maize yields. The other issue is that the performance of existing models may suffer significantly when some data in maize planting records is missing, or the samples are unbalanced. Therefore, this paper proposes an end-to-end bipartite graph neural network-based model for trait data imputation and yield prediction. The maize planting data is initially converted to a bipartite graph data structure. Then, a yield prediction model based on a bipartite graph neural network is developed to impute missing trait data and predict maize yield. This model can mine correlations between different samples of data, correlations between different meteorological features and traits, and correlations between different traits. Finally, to address the issue of unbalanced sample size at each planting location, we propose a loss function based on the gradient balancing mechanism that effectively reduces the impact of data imbalance on the prediction model. When compared to other data imputation and prediction models, our method achieves the best yield prediction result even when missing data is not pre-processed.

There is a pronounced coupling vibration between the catenary and pantograph during operation for high-speed railways. In this paper, a pantograph–catenary coupling vibration model is constructed to investigate the vibration characteristics under various working conditions. Two different types of catenaries (simple and elastic chain types) are simulated and compared using the finite element method. The pantograph is simplified into a mass–spring–damping combination member, the contact and messenger wires are set to linear beam cells, and the dropper and stitch wire are set to truss cells. The results suggest that the vibration characteristics of the two types of catenaries and pantograph exhibit different trends. The maximum stresses of the messenger wire, dropper, and contact wire do not follow a monotonically increasing trend with the train speed. The maximum stress of the messenger wire under the simple chain type of catenary is higher when the initial contact force increases from 80 to 120 N. However, the maximum stress under the elastic chain type of catenary is higher when the initial contact force is 60 or 140 N. Except for the initial contact force of 140 N, the maximum stresses of the dropper and contact wire under the simple chain type of catenary are lower than those under the elastic chain type. This work provides a valuable reference for optimizing the design of pantograph–catenary systems.

Desa Patalagan merupakan salah satu penghasil durian terbesar di Kabupaten Kuningan, Provinsi Jawa Barat. Durian merupakan buah asli Indonesia yang dikonsumsi hanya bagian buahnya saja. Kulitnya banyak dibuang menjadi limbah. Limbah ini mengandung senyawa yang memiliki aktivitas antibakteri dan antioksidan. Limbah ini akan bermanfaat jika dikembangkan, diantaranya dijadikan tepung untuk bahan pempek. Maka kegiatan ini dinamakan BERLIAN (Berkah limbah kulit durian). Mitra dalam pengabdian ini adalah industri pempek Bu Odah yang terletak di Desa Patalagan. Tujuan program ini adalah memberikan penyuluhan manfaat kesehatan kulit durian, memberikan pelatihan pembuatan tepung kulit durian dan pelatihan pembuatan pempek kulit durian. Metode yang dilakukan adalah sosialisasi, penyuluhan dan pelatihan pembuatan pempek kulit durian. Hasil dari pengabdian ini adalah mitra memahami manfaat kesehatan kulit durian dan mitra memiliki kemampuan membuat tepung kulit durian dan memanfaatkannya menjadi pempek kulit durian. Kesimpulan dari kegiatan pengabdian ini adalah kulit durian dapat dimanfaatkan menjadi suatu produk bermanfaat sehingga mengurangi limbah kulit durian terutama di desa Patalagan.

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