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Nickel foam is widely used as a collector for electrocatalysts because of its excellent electrical conductivity; however, it is prone to react with elements such as oxygen, sulfur, and phosphorus during the growth of electrode materials, which makes it brittle and fragile, thus limiting its large-scale application. In this study, bifunctional electrocatalysts with flexible multilevel Ni-based nanoclusters Ni@(Ni,Fe)Se2/Ni@CC were synthesized on carbon cloth (CC) by hydrothermal and electrodeposition methods; these flexible electrocatalysts are convenient for subsequent industrial applications. At a current density of 10 mA cm−2, the overpotentials of the hydrogen evolution reaction (HER) and oxygen evolution reaction (OER) reached 98 and 224 mV, respectively, exceeding the catalytic effects of most metal-based collectors. The overall water-splitting potential of the catalyst was only 1.56 V at 10 mA cm−2, and the performance was maintained after a 24 h stability test. Ni@(Ni,Fe)Se2/Ni@CC significantly improved the activity in alkaline environments by modulating the center of the d-band, thereby increasing the adsorption capacity of the catalyst for H ions. In this study, we improved the intrinsic activity and charge transfer of transition metal electrocatalysts by modifying the carbon cloth and constructing multilevel Ni-based nanoclusters, which provided some insights into the rational design of flexible bifunctional electrocatalysts.

Abstract The origin of energetic charged particles in universe remains an unresolved issue. Astronomical observations combined with simulations have provided insights into particle acceleration mechanisms, including magnetic reconnection acceleration, shock acceleration, and stochastic acceleration. Recent experiments have also confirmed that electrons can be accelerated through processes such as magnetic reconnection and collisionless shock formation. However, laboratory identifying stochastic acceleration as a feasible mechanism is still a challenge, particularly in the creation of collision-free turbulent plasmas. Here, we present experimental results demonstrating kinetic turbulence with a typical spectrum k −2.9 originating from Weibel instability. Energetic electrons exhibiting a power-law distribution are clearly observed. Simulations further reveal that thermal electrons undergo stochastic acceleration through collisions with multiple magnetic islands-like structures within the turbulent region. This study sheds light on a critical transition period during supernova explosion, where kinetic turbulences originating from Weibel instability emerge prior to collisionless shock formation. Our results suggest that electrons undergo stochastic acceleration during this transition phase.

Abstract Background and purpose PD-1/PD-L1 inhibitors have become a promising therapy. However, the response rate is lower than 30% in patients with cervical cancer (CC), which is related to immunosuppressive components in tumor microenvironment (TME). Tumor-associated macrophages (TAMs), as one of the most important immune cells, are involved in the formation of tumor suppressive microenvironment. Therefore, it will provide a theoretical basis for curative effect improvement about the regulatory mechanism of TAMs on PD-L1 expression. Methods The clinical data and pathological tissues of CC patients were collected, and the expressions of PD-L1, CD68 and CD163 were detected by immunohistochemistry. Bioinformatics was used to analyze the macrophage subtypes involved in PD-L1 regulation. A co-culture model was established to observe the effects of TAMs on the morphology, migration and invasion function of CC cells, and the regulatory mechanism of TAMs on PD-L1. Results PD-L1 expression on tumor cells could predict the poor prognosis of patients. And there was a strong correlation between PD-L1 expression with CD163+TAMs infiltration. Similarly, PD-L1 expression was associated with M1/M2-type TAMs infiltration in bioinformatics analysis. The results of cell co-culture showed that M1/M2-type TAMs could upregulate PD-L1 expression, especially M2-type TAMs may elevate the PD-L1 expression via PI3K/AKT pathway. Meanwhile, M1/M2-type TAMs can affect the morphological changes, and enhance migration and invasion abilities of CC cells. Conclusions PD-L1 expression in tumor cells can be used as a prognostic factor and is closely related to CD163+TAMs infiltration. In addition, M2-type TAMs can upregulate PD-L1 expression in CC cells through PI3K/AKT pathway, enhance the migration and invasion capabilities, and affect the tumor progression.

This paper systematically studies the effect of quenching temperature on the microstructure evolution and the relationship between the microstructure and mechanical properties of air-cooled TRIP steel prepared with C–Si–Mn hot-rolled sheet. The results indicate that when the quenching temperature is lower than (200 °C) or close to (250 °C) the Ms temperature, the martensite transformation mainly occurs during quenching or at early stage of air cooling. When the quenching temperature reaches 300 °C, lathy bainite begins to form. As the quenching temperature increases, the morphology of bainite is transformed from lathy to granular. Bainite transformation during air cooling can promote the C enrichment in austenite, thus improving the thermal stability of the austenite. However, martensite transformation also occurs during subsequent air cooling, and the start temperature of martensite transformation first decreases and then increases with the increase of quenching temperature from 300 °C to 450 °C. The yield and tensile strength of TRIP specimens first decrease and then increase, while the retained austenite content, elongation and product of strength and elongation (PSE) first increase and then decrease. When the quenching temperature is 400 °C, the best elongation and PSE are obtained. The best elongation of 400TRIP specimen is mainly attributed to its highest content and suitable mechanical stability of retained austenite, which is favorable for the expansion of the TRIP effect range. The TRIP specimens prepared with hot-rolled sheet all exhibit ultra-high tensile strength (over 1050 MPa), which is related to the ultrafine ferrite grains, martensite transformation during air cooling and TRIP effect of retained austenite.

Uranium-bearing particle analysis is an important technology in the field of nuclear safeguards. In uranium-related nuclear activities, especially in the processes of uranium enrichment, uranium-bearing aerosols are unavoidable released into the environment. There are significant differences between the uranium particles formed by uranium-bearing aerosols after drying and that from nature in terms of isotopic ratio, elemental composition, and impurity composition. Therefore, we can provide a judgment basis for the monitoring of nuclear facilities and activities by analyzing the characteristic information of micrometer or submicron sized uranium-bearing particle. After nearly 30 years of development, some relatively mature methods for the analysis of uranium-bearing particles have been developed. In this review, the process of particle analysis including sample collection, preliminary screen, particle recovery, identification and localization, and measurement is briefly introduced. The advantages and disadvantages of the commonly used technical in each process are compared. At the same time, according to the different purposes of analysis, uranium-bearing particle analysis is divided into three research directions: uranium isotope analysis, morphology and elemental composition analysis, and age-dating. Recent progress of each direction is discussed. Finally, based on the progress of the research, combined with the Development and Implementation Support Program for Nuclear Verification of the IAEA, the future research direction of uranium-bearing particle analysis technology is prospected.

Abstract Legumin A is a seed storage protein that provides nutrients for seed germination. The purpose of this study was to describe the structure and expression pattern of the EuLEGA gene in Eucommia ulmoides Oliver (E. ulmoides) and to infer its functional role. The 1287 bp coding sequence of the EuLEGA CDS of the EuLEGA gene, encoding a protein containing 428 amino acid residues, was cloned. The structure predicted that the protein belonged to the RmlC (deoxythymidine diphosphates, dTDP)-4-dehydrorhamnose 3,5-epimerase)-like cupin conserved domain family, which contains both RmlC, a key enzyme for the synthesis of rhamnose and legumin A. The overexpression (OE) vector of the EuLEGA gene was constructed and genetically transformed into tobacco and E. ulmoides; the RNA interference (RNAi) vector of the EuLEGA gene was constructed and genetically transformed into E. ulmoides; and the contents of legumin A and rhamnose were detected. The results showed that the EuLEGA gene could significantly increase the content of legumin A in transgenic tobacco leaves and transgenic E. ulmoides regenerative buds, and the OE of this gene in E. ulmoides could promote an increase in rhamnose content. RNAi caused a significant decrease in the legumin A content in the regenerated buds of E. ulmoides. These was a significant increase in legumin A in the transgenic tobacco seeds, and these results indicate that the expression of the EuLEGA gene is closely related to the accumulation of legumin A. Subcellular localization studies revealed that EuLEGA is localized to the cytoplasm with the vacuolar membrane. Analysis of the EuLEGA gene expression data revealed that the expression level of the EuLEGA gene in the samaras was significantly greater than that in the leaves and stems. In addition, the study also demonstrated that GA3 can upregulate the expression levels of the EuLEGA gene, while ABA and MeJA can downregulate its expression levels.

Abstract In clinical flap practice, there are a lot of studies being done on how to promote the survival of distal random flap necrosis in the hypoxic and ischemic state. As a traditional Chinese medicine, dihydromyricetin (DHM) is crucial in preventing oxidative stress and apoptosis in a number of disorders. In this work, we examined the impact of DHM on the ability to survive of ischemia flaps and looked into its fundamental mechanism. Our results showed that DHM significantly increased the ischemic flaps' survival area, encouraged angiogenesis and blood flow, reduced oxidative stress and apoptosis, and stimulated KEAP1‐Nrf2 (Kelch‐like ECH‐associated protein 1‐nuclear factor erythroid 2‐related factor) signaling pathways. Adeno‐associated virus (AAV) upregulation of KEAP1 expression also negated the favorable effects of DHM on flap survival. By activating KEAP1‐Nrf2 signaling pathways, DHM therapy promotes angiogenesis while reducing oxidative stress and apoptosis.

Abstract Background Ulnar impingement syndrome is a prevalent source of ulnar carpal pain; however, there is ongoing debate regarding the specific location of shortening, the method of osteotomy, the extent of shortening, and the resulting biomechanical alterations. Method To investigate the biomechanical changes in the distal radioulnar joint (DRUJ) resulting from different osteotomy methods, a cadaveric specimen was dissected, and the presence of a stable DRUJ structure was confirmed. Subsequently, three-dimensional data of the specimen were obtained using a CT scan, and finite element analysis was conducted after additional processing. Results The DRUJ stress did not change significantly at the metaphyseal osteotomy of 2–3 mm but increased significantly when the osteotomy length reached 5 mm. When the osteotomy was performed at the diaphysis, the DRUJ stress increased with the osteotomy length, and the increase was greater than that of metaphyseal osteotomy. Stress on the DRUJ significantly increases when the position is changed to pronation dorsi-extension. Similarly, the increase in stress in diaphyseal osteotomy was greater than that in metaphyseal osteotomy. When the model was subjected to a longitudinal load of 100 N, neither osteotomy showed a significant change in DRUJ stress at the neutral position. However, the 100 N load significantly increased stress on the DRUJ when the position was changed to pronation dorsi-extension, and the diaphyseal osteotomy significantly increased stress on the DRUJ. Conclusions For patients with distal oblique bundle, metaphyseal osteotomy result in a lower increase in intra-articular pressure in the DRUJ compared to diaphyseal osteotomy. However, it is crucial to note that regardless of the specific type of osteotomy employed, it is advisable to avoid a shortening length exceeding 5 mm.

Abstract Fetal adenocarcinoma of the lung (FLAC) is a rare form of lung adenocarcinoma and was divided into high-grade (H-FLAC) and low-grade (L-FLAC) subtypes. Despite the existence of some small case series studies, a comprehensive multi-omics study of FLAC has yet to be undertaken. In this study, we depicted the multi-omics landscapes of this rare lung cancer type by performing multi-regional sampling on 20 FLAC cases. A comparison of multi-omics profiles revealed significant differences between H-FLAC and L-FLAC in a multi-omic landscape. Two subtypes also showed distinct relationships between multi-layer intratumor heterogeneity (ITH). We discovered that a lower genetic ITH was significantly associated with worse recurrence-free survival and overall survival in FLAC patients, whereas higher methylation ITH in H-FLAC patients suggested a short survival. Our findings highlight the complex interplay between genetic and transcriptional heterogeneity in FLAC and suggest that different types of ITH may have distinct implications for patient prognosis.

Abstract Background The influence of native secondary succession associated with anthropogenic disturbance on the biodiversity of the forests in subtropical China remains uncertain. In particular, the evolutionary response of small understory shrubs, particularly pioneer species inhabiting continuously disturbed habitats, to topographic heterogeneity and climate change is poorly understood. This study aimed to address this knowledge gap by focusing on the Gaultheria crenulata group, a clade of small pioneer shrubs in subtropical China. Results We examined the genetic structure and demographic history of all five species of the G. crenulata group with two maternally inherited chloroplast DNA (cpDNA) fragments and two biparentally inherited low-copy nuclear genes (LCG) over 89 natural populations. We found that the genetic differentiation of this group was influenced by the geomorphological boundary between different regions of China in association with Quaternary climatic events. Despite low overall genetic diversity, we observed an isolation-by-distance (IBD) pattern at a regional scale, rather than isolation-by-environment (IBE), which was attributed to ongoing human disturbance in the region. Conclusion Our findings suggest that the genetic structure of the G. crenulata group reflects the interplay of geological topography, historical climates, and anthropogenic disturbance during the Pliocene–Pleistocene-Holocene periods in subtropical China. The observed IBD pattern, particularly prominent in western China, highlights the role of limited dispersal and gene flow, possibly influenced by physical barriers or decreased connectivity over geographic distance. Furthermore, the east-to-west trend of gene flow, potentially facilitated by the East Asian monsoon system, underscores the complex interplay of biotic and abiotic factors shaping the genetic dynamics of pioneer species in subtropical China’s secondary forests. These findings can be used to assess the impact of environmental changes on the adaptation and persistence of biodiversity in subtropical forest ecosystems.

Abstract Extreme within-lake conditions have the potential to exert detrimental effects on lakes. Here we use satellite observations to investigate how the occurrence of multiple types of extremes, notably algal blooms, lake heatwaves, and low lake levels, have varied in 2724 lakes since the 1980s. Our study, which focuses on bloom-affected lakes, suggests that 75% of studied lakes have experienced a concurrent increase in at least two of the extremes considered (27% defined as having a notable increase), with 25% experiencing an increase in frequency of all three extremes (5% had a notable increase). The greatest increases in the frequency of these extremes were found in regions that have experienced increases in agricultural fertilizer use, lake warming, and a decline in water availability. As extremes in lakes become more common, understanding their impacts must be a primary focus of future studies and they must be carefully considered in future risk assessments.

Abstract Peptide deformylase can catalyse the removal of formyl groups from the N-terminal formyl methionine of the primary polypeptide chain. The peptide deformylase genes of a few herbaceous plants have been studied to some extent, but the peptide deformylase genes of woody plants have not been studied. In this study, we isolated EuPDF1B from Eucommia ulmoides Oliv. The full-length sequence of EuPDF1B is 1176 bp long with a poly-A tail and contains an open reading frame of 831 bp that encodes a protein of 276 amino acids. EuPDF1B was localized to the chloroplast. qRT‒PCR analysis revealed that this gene was expressed in almost all tissues tested but mainly in mature leaves. Moreover, the expression of EuPDF1B was enhanced by ABA, MeJA and GA and inhibited by shading treatment. The expression pattern of EuPDF1B was further confirmed in EuPDF1Bp: GUS transgenic tobacco plants. Among all the transgenic tobacco plants, EuPDF1Bp-3 showed the highest GUS histochemical staining and activity in different tissues. This difference may be related to the presence of enhancer elements in the region from − 891 bp to − 236 bp of the EuPDF1B promoter. In addition, the expression of the chloroplast gene psbA and the net photosynthetic rate, fresh weight and height of tobacco plants overexpressing EuPDF1B were greater than those of the wild-type tobacco plants, suggesting that EuPDF1B may promote the growth of transgenic tobacco plants. This is the first time that PDF and its promoter have been cloned from woody plants, laying a foundation for further analysis of the function of PDF and the regulation of its expression.

Abstract The aims of our study were to examine whether initial or subsequent adiposity status had a greater effect on hypertension. We collected data in 1992 and again in 2007 from the same group of 597 individuals in the middle age. The subjects were classified into four groups: individuals with a normal body mass index (BMI) in 1992 and 2007 were in Group I; those with a normal BMI in 1992, but became overweight or obese in 2007 were in Group II; those who were overweight or obese in 1992, but had a normal BMI in 2007 were in Group III; and those who were overweight or obese in 1992 and 2007 were in Group IV. Their demographic data were recorded. The relationship between adiposity status and hypertension was analyzed using logistic regression model. The cumulative incidence of hypertension was 35.5%, 56.3%, 50.0%, and 65.1% for Group I to IV, respectively. Compared with Group I, after adjusted factors, the hazard ratio (HR) was 1.80 for Group II (P = .001), 1.40 for Group III (P = .150), and 2.31 for Group IV (P

Objective In order to facilitate the digital transformation and high-quality development of Shanghai rail transit, it is imperative to construct a digital twin model and create a unified, authoritative, and precise spatial database, providing spatial data service capabilities for application scenarios involving spatial geography such as line network planning, construction, operation and maintenance, and management. Method Combined actual scenes and stock data, a variety of technologies such as 3D laser point cloud, satellite remote sensing and drones are used for 3D reconstruction to generate a spatial digital base model. Urban rail transit thematic spatial data is collected using handheld 3D laser scanners, and the collected point cloud data model is monomerized. Utilizing GIS (geographic information system) technology, the urban rail transit real-world 3D model, planning and control data, and various spatial basic geographic data are integrated into a visualization platform to establish a ′full-space, full-period, and full-factor′ spatial digital base. Taking Shanghai Rail Transit Jiuting Station as example, the layered floor plans and a 3D real-world model of the station are created, and the model files are linked with various attribute information before being integrated inro the urban rail transit line spatial digital base. Result & Conclusion The urban rail transit line spatial digital base, combined with spatial basic geographic data, can provide unified spatial geographic services for the ′planning-design-management-operation′ of the network. Integrating 3D real-world models of stations and information on land acquisition ranges under construction into the spatial digital base could facilitate the daily management of urban rail transit real estate and fixed assets, providing authoritative, accurate and intuitive decision-making basis for the daily operation and management of urban rail transit.

Abstract This study proposes an image-based three-dimensional (3D) vector reconstruction of industrial parts that can generate non-uniform rational B-splines (NURBS) surfaces with high fidelity and flexibility. The contributions of this study include three parts: first, a dataset of two-dimensional images is constructed for typical industrial parts, including hexagonal head bolts, cylindrical gears, shoulder rings, hexagonal nuts, and cylindrical roller bearings; second, a deep learning algorithm is developed for parameter extraction of 3D industrial parts, which can determine the final 3D parameters and pose information of the reconstructed model using two new nets, CAD-ClassNet and CAD-ReconNet; and finally, a 3D vector shape reconstruction of mechanical parts is presented to generate NURBS from the obtained shape parameters. The final reconstructed models show that the proposed approach is highly accurate, efficient, and practical.

Abstract Deterioration development is a recognized worldwide threat to rock carvings, especially in humid regions of southern China. Cultural heritage managers thus require precise identification of different deterioration patterns and conduct comprehensive assessments. However, the quantitative analysis of deterioration patterns is limited due to the severe impact of temperature and humidity on rock carvings. Additionally, the current research on the different deterioration patterns is independent, and the corresponding systematic framework is vague. Based on this, the hyperspectral response is constructed to evaluate the various deterioration patterns using spectral index and intelligent model. Firstly, the remarkable correlation between the feldspar content and the deterioration patterns of rock carvings with the influence of environmental factors is investigated by mineralogical analysis. Secondly, combined with microscopic and mineralogical characteristics, the extracted deterioration characteristics are qualitatively screened. Then, a novel spectral index characterizing the correlation between image grayscale and spectral reflectance is proposed by introducing dynamic correction, and the optimal wavelength combination is applied to identify the distribution of deterioration patterns. Consequently, the quantitative screening of deterioration patterns can be realized. After that, the WOA-XGBoost model exhibits better performance in the classification of deterioration patterns. Finally, the influence of different deterioration patterns on rock carvings is quantified by integrating the deterioration index reflected by chemical composition and the proportion of deterioration pattern distribution identified by the spectral response. In the regional deterioration assessment of Dazu Rock Carvings, biological colonization and surface morphological changes have the highest proportion and degree of deterioration, which is worthy of attention in the protection of rock carvings in this region.

Objective Osteonecrosis of the femoral head (ONFH) is a disease that occurs frequently in young and middle‐aged people. Because of its high disability rate, it affects the ability to work, so the early treatment of this disease is particularly important. This retrospective study aimed to evaluate the clinical efficacy of hip arthroscopy combined with multiple small‐diameter fan‐shaped low‐speed drilling decompression (MSFLD) in treating early‐mid stage ONFH (ARCO II‐IIIA) compared to MSFLD, with at least 10‐year follow‐up. Methods A total of 234 patients who underwent hip arthroscopy and MSFLD for ONFH from 1998 to 2012 were analyzed retrospectively. This study enrolled patients between 18 and 60 years old with ARCO stage II‐III A, diagnosed clinically and through imaging, in accordance with the 2021 guidelines for the treatment of ONFH. Clinical data, including demographics, operation mode, BMI, pre‐ and postoperative Harris score, and femoral head survival rate, were collected. Patients were divided into hip arthroscopy + MSFLD and MSFLD groups based on the operation mode. The t‐test was used to compare the postoperative efficacy, Harris scores, and survival rates of the femoral head between the two groups. Results Among the 234 patients, 160 cases were followed up, including 92 cases in the hip arthroscopy + MSFLD group and 68 cases in MSFLD group, the follow‐up rate was 68.38%, and the follow‐up time was (10–22)14.11 ± 3.06 years. The Harris score (80.65 ± 6.29) in the hip arthroscopy + MSFLD group was significantly higher than that in the MSFLD group (p = 0.00), and the survival rate of femoral head (5‐year survival rate was 84.78%, 10‐year survival rate was 23.91%) was also higher than that in the MSFLD group (5‐year survival rate was 63.24%, 10‐year survival rate was 8.82%). The 5‐year and 10‐year survival rates of patients with ARCO II were 82.11% and 28.42%, which were better than 54% and 33% for ARCO III A. The femur head survival rate of alcoholic ONFH (5‐year survival rate 61.54%, 10‐year survival rate 9.23%) was significantly higher than that of other types of ONFH. Conclusion Clinical follow‐up of at least 10 years suggests that hip arthroscopy combined with MSFLD is an effective treatment for early‐mid stage ONFH, with good clinical effect and high survival rate of femoral head.

Simultaneously manipulating multiple physical fields plays an important role in the increasingly complex integrated systems, aerospace equipment, biochemical productions, etc. For on-chip systems with high integration level, the precise and efficient control of the propagation of electromagnetic waves and heat fluxes simultaneously is particularly important. In this study, we propose a graphical designing method (i.e., thermal-electromagnetic surface transformation) based on thermal-electromagnetic null medium to simultaneously control the propagation of electromagnetic waves and thermal fields according to the pre-designed paths. A thermal-electromagnetic cloak, which can create a cloaking effect on both electromagnetic waves and thermal fields simultaneously, is designed by thermal-electromagnetic surface transformation and verified by both numerical simulations and experimental measurements. The thermal-electromagnetic surface transformation proposed in this study provides a new methodology for simultaneous controlling on electromagnetic and temperature fields, and may have significant applications in improving thermal-electromagnetic compatibility problem, protecting of thermal-electromagnetic sensitive components, and improving efficiency of energy usage for complex on-chip systems.

The rise of mechanical automation in orchards has sparked research interest in developing robots capable of autonomous tree pruning operations. To achieve accurate pruning outcomes, these robots require robust perception systems that can reconstruct three-dimensional tree characteristics and execute appropriate pruning strategies. Three-dimensional modeling plays a crucial role in enabling accurate pruning outcomes. This paper introduces a specialized tree modeling approach using the space colonization algorithm (SCA) tailored for pruning. The proposed method extends SCA to operate in three-dimensional space, generating comprehensive cherry tree models. The resulting models are exported as normalized point cloud data, serving as the input dataset. Multiple criteria decision analysis is utilized to guide pruning decisions, incorporating various factors such as tree species, tree life cycle stages, and pruning strategies during real-world implementation. The pruning task is transformed into a point cloud neural network segmentation task, identifying the trunks and branches to be pruned. This approach reduces the data acquisition time and labor costs during development. Meanwhile, pruning training in a virtual environment is an application of digital twin technology, which makes it possible to combine the meta-universe with the automated pruning of fruit trees. Experimental results demonstrate superior performance compared to other pruning systems. The overall accuracy is 85%, with mean accuracy and mean Intersection over Union (IoU) values of 0.83 and 0.75. Trunks and branches are successfully segmented with class accuracies of 0.89 and 0.81, respectively, and Intersection over Union (IoU) metrics of 0.79 and 0.72. Compared to using the open-source synthetic tree dataset, this dataset yields 80% of the overall accuracy under the same conditions, which is an improvement of 6%.

Abstract China’s Belt and Road Initiative (BRI) aims to strengthen regional economic and policy cooperation and achieve the rapid development among the participating countries. While the impact on the financial development of the economic growth and energy environment of BRI participating countries has garnered close attention among scholars, few studies focus on the impact of financial development on the sustainable development goals (SDGs) of the BRI participating countries. To address this gap, we utilized panel regression models to quantitatively assess the impact of China’s financial development scale, structure, and efficiency on the SDGs of the BRI participating countries, and adopted Geographically and Temporally Weighted Regression (GTWR) model to explore the spatial-temporal effects of China’s financial development scale, structure, and efficiency on the SDGs of the BRI participating countries. Our findings indicate that China’s financial development has significantly promoted the SDGs of the BRI participating countries. This study further reveals that the scale and efficiency of China’s financial development have had a more pronounced impact on the SDGs of Asian countries, low- and middle-income countries, and the Land Silk Road participating countries, compared to those of European countries, high-income countries, and the Maritime Silk Road participating countries, respectively. In contrast, the structure of financial development primarily promotes the SDGs of European and high-income BRI participating countries in the land silk belt. The role of China’s financial development in promoting the SDGs of most BRI participating countries has gradually increased over time. This study provides valuable insights for decision-makers in China to facilitate the sustainable development of BRI participating countries and foster a shared community within the BRI framework.

Abstract Electronic processors are reaching the physical speed ceiling that heralds the era of optical processors. Multifunctional all-optical logic gates (AOLGs) of massively parallel processing are of great importance for large-scale integrated optical processors with speed far in excess of electronics, while are rather challenging due to limited operation bandwidth and multifunctional integration complexity. Here we for the first time experimentally demonstrate a reconfigurable all-in-one broadband AOLG that achieves nine fundamental Boolean logics in a single configuration, enabled by ultrabroadband (400–4000 nm) plasmon-enhanced thermo-optical nonlinearity (TONL) of liquid-metal Galinstan nanodroplet assemblies (GNAs). Due to the unique heterogeneity (broad-range geometry sizes, morphology, assembly profiles), the prepared GNAs exhibit broadband plasmonic opto-thermal effects (hybridization, local heating, energy transfer, etc.), resulting in a huge nonlinear refractive index under the order of 10−4−10−5 within visual-infrared range. Furthermore, a generalized control-signal light route is proposed for the dynamic TONL modulation of reversible spatial-phase shift, based on which nine logic functions are reconfigurable in one single AOLG configuration. Our work will provide a powerful strategy on large-bandwidth all-optical circuits for high-density data processing in the future.

Abstract Accurate identification and localization of multiple abnormalities are crucial steps in the interpretation of chest X-rays (CXRs); however, the lack of a large CXR dataset with bounding boxes severely constrains accurate localization research based on deep learning. We created a large CXR dataset named CXR-AL14, containing 165,988 CXRs and 253,844 bounding boxes. On the basis of this dataset, a deep-learning-based framework was developed to identify and localize 14 common abnormalities and calculate the cardiothoracic ratio (CTR) simultaneously. The mean average precision values obtained by the model for 14 abnormalities reached 0.572-0.631 with an intersection-over-union threshold of 0.5, and the intraclass correlation coefficient of the CTR algorithm exceeded 0.95 on the held-out, multicentre and prospective test datasets. This framework shows an excellent performance, good generalization ability and strong clinical applicability, which is superior to senior radiologists and suitable for routine clinical settings.

Objectives There is no clear consensus so far on which fixation method is most favorable for the tibial tunnel in anterior cruciate ligament reconstruction (ACLR). The purpose of this paper is to investigate the outcome of RigidFix cross pins fixation in the tibial tunnel and to explore the advantages of RigidFix applied both in the femoral and tibial tunnel with hamstring tendon graft in anterior cruciate ligament reconstruction. Methods This retrospective study included 53 patients (male/female, 45/8) who underwent anterior cruciate ligament reconstruction using autologous hamstring tendons between January 2013 and December 2017 at our institute. The participants in group A (n = 36) received anterior cruciate ligament reconstruction with RigidFix cross pins fixation in both femoral and tibial tunnels, while those in group B (n = 17) with RigidFix cross pins fixation in the femoral tunnel and Interference screw fixation in the tibial tunnel. The visual analogue scale (VAS) score, International Knee Documentation Committee subjective knee form 2000 (IKDC2000) score, Lysholm knee scoring scale, Tegner activity score and the side‐to‐side difference were compared at 2 and 5 years postoperatively. The graft diameter, number of strands in graft and the average diameter of each strand were also compared between the two groups. The categorical parameters were analyzed by chi‐square test and the continuous variables conforming to a normal distribution were analyzed by Student's t‐test. Results At 2 years postoperation, the VAS score (1.61 ± 0.55), side‐to‐side difference (1.50 ± 0.58) in group A were significantly lower than that in group B, and the IKDC2000 score (88.81 ± 3.88), Tegner activity score (6.14 ± 0.60) in group A were significantly higher than that in group B. At 5 years postoperation, the VAS score (1.64 ± 0.68), side‐to‐side difference (1.73 ± 0.63) in group A were significantly lower than that in group B, and the IKDC2000 score (89.09 ± 3.85), Tegner activity score (6.58 ± 0.94) in group A were slso significantly higher than that in group B. There was statistical difference in the change of the side‐to‐side difference between the two groups (group A vs. B, 0.22 ± 0.08 vs. 0.34 ± 0.11, p

Probabilistic modeling of the directional wind speed has been an important topic in the fields of wind energy assessment as well as structural wind-resistant design. The mixture model is required for the probabilistic modeling on the directional wind speed as the wind climates often show the mixture nature. For accuracy and robustness concerns in engineering applications, a generalized bivariate mixture (GBM) model of the directional wind speed is developed by using the copula-based bivariate distribution function. In this model, the marginal distributions and connection function for each sub-model can be flexibly defined. In parametrizing the model, the data-driven parametric estimation including a data preprocess and an automatic unsupervised fitting process is presented. The performance of GBM model is verified using two data sets and compared with the offset elliptical normal mixture (OENM) model. The robustness of GBM model is found for its good performance in fitting to the targets with or without smoothing process, and in tackling directional wind speed with the extremely complex probability characteristic.

Mycoplasma bovis (M. bovis) is a significant bovine pathogen associated with various diseases, including bovine bronchopneumonia and mastitis resulting in substantial economic losses within the livestock industry. However, the development of effective control measures for M. bovis is hindered by a limited understanding of its virulence factors and pathogenesis. Nucleomodulins are newly identified secreted proteins of bacteria that internalize the host nuclei to regulate host cell gene expression and serve as critical virulence factors. Although recent reports have initiated exploration of mycoplasma nucleomodulins, the efficiency of conventional techniques for identification is very limited. Therefore, this study aimed to establish high-throughput methods to identify novel nucleomodulins of M. bovis. Using a direct biotinylation (DB) approach, a total of 289 proteins were identified including 66 high abundant proteins. In parallel, the use of proximity-based biotinylation (PBB), identified 28 proteins. Finally, seven nucleomodulins were verified to be nuclear by transfecting the bovine macrophage cell line BoMac with the plasmids encoding EGFP-fused proteins and observed with Opera Phenix, including the known nucleomodulin MbovP475 and six novel nucleomodulins. The novel nucleomodulins were four ribosomal proteins (MbovP599, MbovP678, MbovP710, and MbovP712), one transposase (MbovP790), and one conserved hypothetical protein (MbovP513). Among them, one unique nucleomodulin MbovP475 was identified with DB, two unique nucleomodulins (MbovP513 and MbovP710) with PBB, and four nucleomodulins by both. Overall, these findings established a foundation for further research on M. bovis nucleomodulin-host interactions for identification of new virulence factors.

Summary: Simultaneously guiding electromagnetic waves and heat flow at any incidence angle to smoothly bypass some electromagnetic/thermal sensitive elements is a key factor to ensure efficient communication and thermal protection for an on-chip system. In this study, an omnidirectional on-chip electromagnetic-thermal cloak is proposed. Firstly, a holey metallic plate with periodic array of subwavelength apertures is designed by optical surface transformation to realize an omnidirectional electromagnetic cloaking module for on-chip electromagnetic signal. Secondly, a two-layer ring-shaped engineered thermal structure is designed by solving Laplace equation to realize an omnidirectional thermal cloaking module for in-chip heat flow. Finally, these two cloaking modules are combined to achieve cloaking effect for both the electromagnetic waves and thermal fields simultaneously, thus protecting the build-in electromagnetic/thermal sensitive elements without disturbing the external fields. The proposed electromagnetic-thermal cloak may have potential advantage in dealing with omnidirectional electromagnetic compatibility/shielding and multi-directional thermal management/dissipation of an on-chip system.

Abstract The generation of cultured red blood cells (cRBCs) ex vivo represents a potentially unlimited source for RBC transfusion and other cell therapies. Human cRBCs can be generated from the terminal differentiation of proliferating erythroblasts derived from hematopoietic stem/progenitor cells or erythroid precursors in peripheral blood mononuclear cells. Efficient differentiation and maturation into cRBCs highly depend on replenishing human plasma, which exhibits variable potency across donors or batches and complicates the consistent cRBC production required for clinical translation. Hence, the role of human plasma in erythroblast terminal maturation is investigated and uncovered that 1) a newly developed cell culture basal medium mimicking the metabolic profile of human plasma enhances cell growth and increases cRBC yield upon erythroblast terminal differentiation and 2) LDL‐carried cholesterol, as a substitute for human plasma, is sufficient to support erythroid survival and terminal differentiation ex vivo. Consequently, a chemically‐defined optimized medium (COM) is developed, enabling robust generation of cRBCs from erythroblasts of multiple origins, with improved enucleation efficiency and higher reticulocyte yield, without the need for supplementing human plasma or serum. In addition, the results reveal the crucial role of lipid metabolism during human terminal erythropoiesis.

ObjectiveTo examine the effects of an intervention with fructooligosaccharides (FOS), Saccharomyces boulardii, and their combination in a mouse model of colitis and to explore the mechanisms underlying these effects.MethodsThe effects of FOS, S. boulardii, and their combination were evaluated in a DSS-induced mouse model of colitis. To this end, parameters such as body weight, the disease activity index (DAI), and colon length were examined in model mice. Subsequently, ELISA was employed to detect the serum levels of proinflammatory cytokines. Histopathological analysis was performed to estimate the progression of inflammation in the colon. Gas chromatography was used to determine the content of short-chain fatty acids (SCFAs) in the feces of model mice. Finally, 16S rRNA sequencing technology was used to analyze the gut microbiota composition.ResultsFOS was slight effective in treating colitis and colitis-induced intestinal dysbiosis in mice. Meanwhile, S. boulardii could significantly reduced the DAI, inhibited the production of IL-1β, and prevented colon shortening. Nevertheless, S. boulardii treatment alone failed to effectively regulate the gut microbiota. In contrast, the combined administration of FOS/S. boulardii resulted in better anti-inflammatory effects and enabled microbiota regulation. The FOS/S. boulardii combination (109 CFU/ml and 107 CFU/ml) significantly reduced the DAI, inhibited colitis, lowered IL-1β and TNF-α production, and significantly improved the levels of butyric acid and isobutyric acid. However, FOS/S. boulardii 109 CFU/ml exerted stronger anti-inflammatory effects, inhibited IL-6 production and attenuated colon shortening. Meanwhile, FOS/S. boulardii 107 CFU/ml improved microbial regulation and alleviated the colitis-induced decrease in microbial diversity. The combination of FOS and S. boulardii significantly increased the abundance of Parabacteroides and decreased the abundance of Escherichia–Shigella. Additionally, it promoted the production of acetic acid and propionic acid.ConclusionCompared with single administration, the combination can significantly increase the abundance of beneficial bacteria such as lactobacilli and Bifidobacteria and effectively regulate the gut microbiota composition. These results provide a scientific rationale for the prevention and treatment of colitis using a FOS/S. boulardii combination. They also offer a theoretical basis for the development of nutraceutical preparations containing FOS and S. boulardii.

BackgroundTuberculous meningitis (TBM) is the most severe form of tuberculosis (TB) and can be difficult to diagnose and treat. We aimed to describe the clinical presentation, diagnosis, disease spectrum, outcome, and prognostic factors of patients treated for TBM in China.MethodsA multicenter retrospective study was conducted from 2009 to 2019 enrolling all presumptive TBM patients referred to Xijing tertiary Hospital from 27 referral centers in and around Shaanxi province, China. Patients with clinical features suggestive of TBM (abnormal CSF parameters) were included in the study if they had adequate baseline information to be classified as “confirmed,” “probable,” or “possible” TBM according to international consensus TBM criteria and remained in follow-up. Patients with a confirmed alternative diagnosis or severe immune compromise were excluded. Clinical presentation, central nervous system imaging, cerebrospinal fluid (CSF) results, TBM score, and outcome—assessed using the modified Barthel disability index—were recorded and compared.FindingsA total of 341 presumptive TBM patients met selection criteria; 63 confirmed TBM (25 culture positive, 42 Xpert-MTB/RIF positive), 66 probable TBM, 163 possible TBM, and 49 “not TBM.” Death was associated with BMRC grade III (OR = 5.172; 95%CI: 2.298–11.641), TBM score ≥ 15 (OR = 3.843; 95%CI: 1.372–10.761), age > 60 years (OR = 3.566; 95%CI: 1.022–12.442), and CSF neutrophil ratio ≥ 25% (OR = 2.298; 95%CI: 1.027–5.139). Among those with confirmed TBM, nearly one-third (17/63, 27.0%) had a TBM score 60 years) have higher TBM scores or CSF neutrophil ratios, have signs of disseminated/miliary TB, and are at greatest risk of death. In general, more effort needs to be done to improve early diagnosis and treatment outcome in TBM patients.

Amino acid-derived quaternary ammonium salts were successfully applied in the asymmetric aza-Henry reaction of nitromethane to N-Boc trifluoromethyl ketimines. α-Trifluoromethyl β-nitroamines were synthesized in good to excellent yields with moderate to good enantioselectivities. This reaction is distinguished by its mild conditions, low catalyst loading (1 mol%), and catalytic base. It also proceeded on a gram scale without loss of enantioselectivity. The products were transformed to a series of adamantane-type compounds containing chiral trifluoromethylamine fragments. The potent anticancer activities of these compounds against liver cancer HepG2 and melanoma B16F10 were evaluated. Six promising compounds with notable efficacy have potential for further development.

Abstract Black carbon (BC) aerosols, which arise from incomplete combustion processes, possess the capacity to absorb solar radiation, thereby contributing significantly to the issue of climate warming. However, accurately estimating their radiative effect is challenging, influenced by emissions, sizing, morphology, and mixing state. BC particles undergo aging processes that can alter their physical characteristics and mixing state, consequently affecting their optical properties. In this study, we assessed the mixing state of BC across diverse atmospheric environments. Results demonstrate that mixing state heterogeneity is a ubiquitous phenomenon. In background atmospheres, BC exhibited less homogeneous states compared to those in urban and suburban areas, where heterogeneity was driven by primary emissions. Our study provides direct observational evidence that the heterogeneity of particle-particle mixing can reduce the light absorption enhancement of BC in all atmospheres, with a deviation of up to approximately 24% under background conditions.

Abstract Introduction Pancreaticobiliary reflux (PBR) can induce gallstone formation; however, its pathogenic mechanism remains unclear. In this study, we explored the mechanism of PBR by the non-targeted metabolomic analysis of bile in patients with PBR. Objective The aim of this study was to investigate the pathogenic mechanism in PBR by the non-targeted metabolomic analysis of bile collected during surgery. Methods Sixty patients who underwent gallstone surgery at our center from December 2020 to May 2021 were enrolled in the study. According to the level of bile amylase, 30 patients with increased bile amylase ( > 110 U/L) were classified into the PBR group, and the remaining 30 patients were classified into the control group (≤ 110 U/L). The metabolomic analysis of bile was performed. Results The orthogonal projections to latent structure-discriminant analysis of liquid chromatography mass spectrometry showed significant differences in bile components between the PBR and control groups, and 40 metabolites were screened by variable importance for the projection value (VIP > 1). The levels of phosphatidylcholine (PC) and PC (20:3(8Z,11Z,14Z)/14:0) decreased significantly, whereas the levels of lysoPC (16:1(9z)/0:0), lysoPC (15:0), lysoPC (16:0), palmitic acid, arachidonic acid, leucine, methionine, L-tyrosine, and phenylalanine increased. Conclusions Significant differences in bile metabolites were observed between the PBR and control groups. Changes in amino acids and lipid metabolites may be related to stone formation and mucosal inflammation.

Abstract Purpose This study is aimed to delve into the crucial proteins associated with hormonal osteonecrosis of the femoral head (ONFH) and its intra-articular lesions through data-independent acquisition (DIA) proteomics and bioinformatics analysis. Methods We randomly selected samples from eligible ONFH patients and collected samples from the necrotic area of the femoral head and load-bearing cartilage. The control group comprised specimens from the same location in patients with femoral neck fractures. With DIA proteomics, we quantitatively and qualitatively tested both groups and analyzed the differentially expressed proteins (DEPs) between groups. Additionally, we enriched the analysis of DEP functions using gene ontology terms and Kyoto Encyclopedia of Genes and Genomes pathways and verified the key proteins in ONFH through Western blot. Results Proteomics experiment uncovered 937 common DEPs (422 upregulated and 515 downregulated) between the two groups. These DEPs mainly participate in biological processes such as hidden attributes, catalytic activity, molecular function regulators, and structural molecule activity, and in pathways such as starch and sucrose metabolism, ECM–receptor interaction, PI3K-Akt signaling, complement and coagulation cascades, IL-17 signaling, phagosome, transcriptional misregulation in cancers, and focal adhesion. Through protein–protein interaction network target gene analysis and Western blot validation, we identified C3, MMP9, APOE, MPO, LCN2, ELANE, HPX, LTF, and THBS1 as key proteins in ONFH. Conclusions With DIA proteomics and bioinformatics analysis, this study reveals the molecular mechanisms of intra-articular lesions in ONFH. A correlation in the necrotic area and load-bearing cartilage of ONFH at ARCO stages IIIB-IV as well as potential key regulatory proteins was identified. These findings will help more deeply understand the pathogenesis of ONFH and may provide important clues for seeking more effective treatment strategies.

Objective: Preeclampsia (PE) is a common complication during pregnancy. miR-100a is expressed in the placenta and regulates the survival and development of placental cells. Insulin growth factor-2 (IGF-2) may serve as its downstream target. This study investigated the protective mechanisms of ginsenoside Rg3 against PE in rat model. Materials and Methods: LPS-induced rat PE models were suitable for intravenous administration of the highly expressed miR-100a ginsenoside Rg3 lentiviral vector. Human trophoblasts were cultured in vitro for JEG-3, and PE cell models were constructed. In vivo effects on tumor growth and apoptosis were observed. Ginsenoside Rg3 was treated with different concentrations of shRNA, miR-100a analogs, inhibitors, or IGF-2. Autophagy and the expression of autophagy-related proteins were examined. Trophoblast activity and migration were determined using Cell Counting Kit-8 and Transwell assays. Both drugs strongly inhibited trophoblasts under normal conditions with some synergy between them. Double-luciferase return assay confirmed the binding affinity of miR-100a for IGF-2. Results: In response to Rg3, autophagy and the expression of autophagy-related proteins LC3-I/II, Beclin1, and SQSTM1 were reduced in PE rat placental trophoblasts. Rg3 inhibited autophagy in JEG-3 cells and promoted JEG-3 survival and migration in a concentration-dependent manner. miR-100a upregulated PE expression. These results suggested that autophagy was a vital signaling system. Rg3 intervention inhibited miR-100a expression and miR-100a downregulated IGF-2 expression in placental tissues and promoted autophagy, thereby inhibiting JEG-3 cell survival and migration. In rats, Rg3 inhibited PE development by regulating the activity of the miR-100a-IGF-2 signaling axis. Conclusion: Ginsenoside Rg3 positively regulates the miR-100a-IGF-2 axis and protects PE rats by inhibiting trophoblastic autophagy and promoting trophoblastic cell survival and migration.

Abstract Background Atrial fibrillation (AF) is highly prevalent in the population, yet the factors contributing to AF events in susceptible individuals remain partially understood. The potential relationship between meteorological factors and AF, particularly with abnormal electrocardiograph (ECG) repolarization, has not been adequately studied. This case-crossover study aims to investigate the association between meteorological factors and daily hospital visits for AF with abnormal ECG repolarization in Shanghai, China. Methods The study cohort comprised 10,325 patients with ECG-confirmed AF who sought treatment at Shanghai Sixth People's Hospital between 2015 and 2018. Meteorological and air pollutant concentration data were matched with the patient records. Using a case-crossover design, we analyzed the association between meteorological factors and the daily count of hospital visitors for AF with abnormal ECG repolarization at our AF center. Lag analysis models were applied to examine the temporal relationship between meteorological factors and AF events. Results The analysis revealed statistically significant associations between AF occurrence and specific meteorological factors. AF events were significantly associated with average atmospheric pressure (lag 0 day, OR 0.9901, 95% CI 0.9825–0.9977, P

Abstract Municipal solid waste (MSW), a carbon-intensive waste stream, may create both instant and indirect impacts onto environmental and climate management. Despite multiple studies made for greenhouse gases (GHGs) emissions of municipal waste, this research aims to achieve a comprehensive assessment for the carbon cycle by exploring evolution of waste composition and temporal-spatial disparities in waste management. Carbon flows embodied in MSW have been estimated across 31 provinces in Mainland China in the period 2000–2018. This improved estimation could be 15–40% smaller than the conventional estimation employing a constant waste composition. Aggregately some 578 ± 117 megatonnes carbon (MtC) were contained in MSW, including 239 ± 60 Mt of fossil carbon and 339 ± 58 Mt of degradable organic carbon. After treatment, 299 ± 66 MtC were possibly deposited in landfills and dumps. 279 ± 51 MtC were released to the atmosphere, creating net GHGs emissions equivalent to1870 ± 334 megatonnes of CO2 (MtCO2e). MSW generation in China nearly doubled during the period, net GHGs emissions increased by 1.8×, whereas fossil carbon grew by a factor of 3.5, mainly propelled by an increasing content of waste plastic in MSW. More rapid growth was witnessed in provinces in southern China than in northern. Distinct spatial–temporal evolution of waste and carbon metabolism was driven by increment, composition, and management effects. In the long run, the increment and composition effects may drop off. Enhanced practices of waste management integrating the circular economy are needed to fully recycle carbon flows, minimize emissions, and manage carbon deposits in aging landfills and dumps.

Hydrogen energy plays an important role in clean energy system and is considered the core energy source for future technological development owing to its lightweight nature, high calorific value, and clean combustion products. The electrocatalytic conversion of water into hydrogen is considered a highly promising method. An electrocatalyst is indispensable in the electrocatalytic process, and finding an efficient electrocatalyst is essential. However, the current commercial electrocatalysts (such as Pt/C and Ru) are expensive; therefore, there is a need to find an inexpensive and efficient electrocatalyst with high stability, corrosion resistance, and high electrocatalytic efficiency. In this study, we developed a cost-effective bifunctional electrocatalyst by incorporating molybdenum into nickel sulfide (Ni3S2) and subsequently tailoring its structure to achieve a one-dimensional (1D) needle-like configuration. The hydrogen production efficiency of nickel sulfide was improved by changing the ratio of Mo doping. By analyzing the electrochemical performance of different Mo-doped catalysts, we found that the Ni3S2-Mo-0.1 electrocatalyst exhibited the best electrocatalytic effect in 1 M KOH; at a current density of 10 mA cm−2, it exhibited overpotentials of 120 and 279 mV for hydrogen evolution reaction (HER) and oxygen evolution reaction (OER), respectively; at a higher current density of 100 mA cm−2, the HER and OER overpotentials were 396 and 495 mV, respectively. Furthermore, this electrocatalyst can be used in a two-electrode water-splitting system. Finally, we thoroughly investigated the mechanism of the overall water splitting of this electrocatalyst, providing valuable insights for future hydrogen production via overall-water-splitting.

Neutron-induced single event effects have potential influence on the reliability of electronic devices in aircraft and ground-based nuclear facilities. The white neutron source, generated by heavy metal target bombardment from proton accelerators, is an important tool for studying these effects. Neutron irradiation experiments can provide valuable information such as cross section or threshold for neutron single event effects, allowing prediction of device failure rates in neutron irradiation environments and providing data to support electronic device radiation hardening. Protons from the CYCIAE-100, a 100 MeV proton cyclotron accelerator in China Institute of Atomic Energy, bombard a tungsten target and undergo a scattering reaction, producing white neutrons. Based on nuclear reaction theory and Monte Carlo method, the yield, spectrum, and angular distribution of neutrons produced from the interaction between 100 MeV protons and a tungsten target were simulated. The results show that each 100 MeV proton can produce 0.33 neutrons on average. The neutron energy range is 0-100 MeV, the neutron fluence initially rises and then declines as the energy increases, with the peak occurring near 1 MeV. The angular distribution of the neutrons along the direction of the proton beam is observed to be axisymmetric, and as the emission angle increases, the neutron fluence first decreases and then increases, with the lowest neutron fluence occurring at 90°. The neutron beam in the emission direction of 0° is selected to carry out the single event effect experiment. The energy spectrum of white neutrons is measured by the neutron time-of-flight method based on two liquid scintillation detectors. The neutron energy spectrum is obtained in the range of 3-100 MeV, and when the proton beam is 100 MeV/1 μA, the neutron flux is 3.3×104 cm-2·s-1 at the distance of 15 m from the W target, which meets the requirements of neutron single event effect experiments. Due to the fact that the neutron energy of CYCIAE-100 white neutron source is limited to a maximum of 100 MeV, a direct simulation of the atmospheric neutron energy spectrum is unattainable. Also, disparities exist between the energy spectrum of this neutron source and that of the neutron radiation environment in nuclear industry. Therefore, it is necessary to consider the single event effect response of the device under irradiation with different energies neutron and to explore the development of an accurate approach for experimental evaluation of neutron single event effects.

The carbon accounting plays a critical role in the lean carbon management and the policy formulation for industrial entities. The carbon accounting method based on emission factors offered by IPCC usually leads significant errors on the micro-level of the enterprise. For implementing a bottom-up lean carbon management with higher accounting accuracy, an accurate carbon accounting model based on the industrial metabolism analysis is established on a S-system of dynamics with using the approximation method of power law and Michaelis–Menten law. It is used to predict the amounts of various resources and output products at the process nodes under predetermined simulation conditions. In the case study on a blast furnace ironmaking environment, it succeeds in accurately predicting the amounts of products including carbon emissions depending on the massive variables of materials and fuels. Further study on the residual analysis shows that mean errors of the CO2 and CO emissions are respectively 5.23% and 6.77% while using the industrial metabolism based carbon accounting model. This method better addresses the challenge of severely overestimation on carbon emissions in the carbon accounting of the ironmaking industrial environment. It offers a prospective and accurate carbon accounting method for further formulating more targeted policies. It facilitates the lean management of carbon emission at a micro-level of enterprise so that the climate change is mitigated from bottom to top.

Understanding user demand is the basis for enterprises to improve their product quality and services. Online reviews have become a critical reflection of user demand. In particular, complaint information usually indicates defects in products or services. This study proposes a user demand mining method that integrates online reviews and complaint information. The term frequency-inverse document frequency (TF–IDF) method and expert consultations were adopted to generate a product attribute set. The latent Dirichlet allocation (LDA) method was also used to add more attributes to the product attribute set. This study analysed the aspect-level sentiment of each product attribute using the fine-tuning bidirectional encoder representation from transformers (BERT) model. The labelled dataset was used to train the BERT classification model to classify the product complaint information. Finally, the sentiment analysis results of online reviews and the classification results of complaint information were comprehensively analysed to obtain more accurate and comprehensive user demand elements. An example of a car product verified the effectiveness of the proposed method in the current paper. The results reveal that the method proposed in this study can integrate online reviews and complaint information to improve the accuracy and comprehensiveness of data mining results, thereby playing an auxiliary decision-making role for enterprises to accurately obtain user demand information and formulate product development strategies.

Highlights We developed a novel method for high-efficiency, nontoxic, glycerol-free, scalable cryopreservation of human red blood cells with a high hematocrit (> 40%). This method offered the potential for ultrafast and convenient applications by eliminating the need for permeable cryoprotectants, simplifying the washing steps, and reducing the washing time. This method achieved a high RBC recovery of up to 95%, and the RBCs post-cryopreserved maintained their morphology, mechanics, and functional properties.