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[Purposes] This research is conducted to exploret the roof movement law of double roadway arrangement in thick coal seam and the abutment pressure distribution mechanism of surrounding rock. [Methods] The roof cuttings of single roadway in belt channeling and return air channeling in Gucheng N1302 face were taken as the engineering research objects to achieve effective pressure relief in double roadway. Theoretical analysis, field tests, and numerical simulation were used to investigate the mechanism of roof cutting and pressure relief on double roadway arrangements. [Findings] The results show that, according to theoretical calculation, the range of the internal stress field increases obviously after roof cutting, which can effectively reduce the stress of the belt along the groove. Field tests show that the deformation of the surrounding rock is significantly reduced when the top cutting height is 20 m, but the key layer of the upper level turns ahead of time, increasing the floor heave during the service of the return air channeling channel. The numerical simulation results show that the vertical stress of the coal wall is not affected by increasing the cutting height when the upper key layer is not cut off. While when the upper key layer is cut off, the vertical stress of the coal wall in the return air channeling channel decreases obviously. When the cutting height of the top is fixed, changing the width of the coal pillar between lanes can control the stress of the return air channeling.

[Purposes] This article aims to solve the stability problem of the roadway after using concrete flexible mold filling technology to leave the roadway along the goaf in the working face. To solve the problem of roadway stability after retaining the roadway along the goaf, “ flexible mold filling + shaped charge blasting pre cracking technology” is adopted. [Methods] On the basis of the characteristics of the roof overlying rock of the working face, the method of theoretical analysis and numerical simulation, combined with the site construction conditions, is used to determine the deep hole precracking blasting scheme with the cutting height of 20.5 m and the cutting angle of 5°. [Findings] The results show that the elastic-plastic boundary in the coal wall moves in, the range of the internal stress field increases, and the effect of the high masonry beam structure is obvious. With the increase of the cutting height, the support resistance of the filling body and the deformation of the surrounding rock decrease first and then stabilize. With the increase of cutting angle, the support resistance of backfill and the deformation of surrounding rock increase continuously. The deformation of the surrounding rock is reduced by 56% and the displacement of the roof and floor is reduced by 72%, which reduces the maintenance cost in the later period and provides an empirical reference for the mining roof cutting and roadway retention under similar conditions.

Fe–Fe3P adhesive premixed powders were prepared by using hyperbranched polyester as the binders. The microstructure of the powders was observed by scanning electron microscope. The effect of hyperbranched polyester binder content (mass fraction) on the properties of the Fe−Fe3P powder mixture and the sintered products was studied. The results show that the proportion of small particle size powders with particle size ≤10 μm (mostly Fe3P powders) in the bonded mixed powders accounts for 0.65% of the total number of powder particles, which is significantly lower than that of the un-bonded mixed powders (5.93%). Hyperbranched polyester can successfully bond the Fe3P powders to the iron powder surface, which is beneficial to improve the uniformity of phosphorus in the mixed powders and prevent segregation. The Fe–Fe3P bonded mixed powders with 0.10% terminal hydroxyl hyperbranched polyester show the best powder fluidity and loose packing density. The pressing pressure of the Fe–Fe3P green billets with the same density increases with the increase of the mass fraction of hyperbranched polyester. The addition of hyperbranched polyester binder can reduce the size change rate of the sintered body before and after sintering, improve the transverse fracture strength of the sintered body, and maintain good bonding property in the actual production process.

The iron-based powder metallurgy materials were sintered and brazed with the water atomized Ancorbraze 72 (AB72) powders. The wettability and penetration depth of the brazing materials were studied by brazing material pretreatment and changing sintering atmosphere. The results show that, with the increase of pretreatment temperature, the maximum diameter of brazing residue on the matrix surface decreases obviously, and the diffusion range of brazing material at 1000 μm away from the wetting surface decreases gradually. When the pretreatment temperature is 800 ℃, the brazing residue is the least, the diffusion range is the least at 1000 μm away from the wetting surface, and the pretreatment effect is the best. When the pretreatment temperature is 800 ℃, the treatment time is 2 h, and the treatment atmosphere is 75%N2+25%H2 (volume fraction), the residue on the brazing surface is less, and the diffusion range of the brazing materials is the smallest at 1000 μm away from the wetting surface. A certain amount of endothermic atmosphere during the sintering brazing can obviously improve the penetration of brazing materials in the matrix. When the flow rate of endothermic atmosphere is 20 m3∙h−1, the improvement of wetting angle and penetration depth is the best.

Humic acid modified biochar (CSB-HA) was prepared using corn stover-based biochar (CSB) loaded with humic acid for the adsorption of Mn2+ from the soil leachate in the mining area and its adsorption characteristics were analyzed. With the help of SEM, BET, XRD, XPS and FT-IR, the prepared samples were characterized and analyzed. The results show that the specific surface area of CSB-HA is 7.911 m2/g, which is 1.98 times that of CSB, and the pores are mostly mesoporous. The excellent pore structure provides a large number of adsorption sites and promotes the contact with pollutants, so that the adsorption performance is enhanced. The surface of CSB-HA is enriched with the oxygen-containing functional groups such as C=O, O=C—O and —COOH, and the oxygen atoms in the functional groups can be complexed and coordinated with heavy metal ions to form a stable ligand bond, thus removing Mn2+. The maximum adsorption of Mn2+ by CSB-HA is 21.493 mg/g, and the quasi-primary kinetic model, quasi-secondary kinetic model, Langmuir isotherm and Temkin isotherm can fit the adsorption process well, and the Temkin constant bkid2=0.287), and the fitted lines do not pass through the origin, so that the intra-particle diffusion stage is the key stage of the adsorption process for controlling the rate. In the thermodynamic simulations, the separation coefficients RL are in the range of 0.4−0.6, ΔH=15.41 kJ/mol>0, and ΔG is negative and decreases with increasing temperature, indicating that the adsorption process is reversible and spontaneous heat absorption, and the adsorption reaction can be facilitated by warming up. ΔS=49.90 J/(mol·K)>0, which proves that the solid-liquid interface stoichiometry increases during the adsorption process. The simulated adsorption experiments on leaching solution show that CSB-HA has a good adsorption effect on Mn2+ and a regulating effect on the pH of leaching solution.

IntroductionPortal hypertension combined with hypersplenism (PHcH) is the main cause of hypocytosis and esophagogastric variceal hemorrhage in patients with liver cirrhosis. Activated macrophages that destroy excess blood cells are the main cause of hypersplenism, but the activating pathway is not very clear. This study aims to investigate the activation types of splenic macrophages and their activation mechanisms, to provide experimental evidence for the biological treatment of splenomegaly, and to find a strategy to improve liver fibrosis and inflammation by intervening in splenic immune cells. This study revealed the occurrence of M2-like polarization of macrophages and upregulation of c-Myc gene expression in the PH spleen.MethodsRNAseq, protein chip, western blot, and chip-seq were performed on macrophages and the in vitro MEK inhibitor rafametinib was used. Carbon tetrachloride and thioacetamide induced mouse cirrhosis models were separately constructed.Resultsc-Myc gene knockout in splenic macrophages reduced M2-like polarization and exacerbated liver fibrosis inflammation. c-Myc activated the MAPK signaling pathway and upregulated the expression of IL-4 and M2-like related genes in PH hypersplenism through the MEK-ERK-c-Myc axis. In addition, the c-Myc gene exerted anti-inflammatory effects by upregulating IL-4-mediated signal transduction to promote M2-like differentiation and anti-inflammatory cytokine secretion.ConclusionsActivation of MEK‐ERK‐c‐MYC signaling pathway promotes splenic M2-like macrophage polarization to inhibit PHcH-liver cirrhosis. Therefore, the induction of macrophage depolarization might represent a new therapeutic approach in the cure of PH hypersplenism, making c-Myc a potential candidate for macrophage polarization therapy.

ObjectiveTo investigate and analyze the public health status of escape room-style venues in Yangpu District， Shanghai.MethodsReferring to the hygiene standards and testing methods for public places， an investigation of the current situation and environmental monitoring were conducted in 15 escape room-style venues in Yangpu District， which involved exploring the changes in physical， chemical， and microbial indicators before and after the game.ResultsThe hygiene condition of escape room-style venues in Yangpu District was generally good， with all 19 monitoring indicators not exceeding the indoor standards. The indoor carbon dioxide （CO2） and formaldehyde concentrations increased significantly after the game but did not exceed the standards.ConclusionThe hygiene condition of escape room-style venues in Yangpu District is good. However， potential public health risks were identified in four aspects： site selection and design， length of the game， cross-contamination， and training and management.

Lung cancer is one of the most common malignant tumors in the world, of which non-small cell lung cancer (NSCLC) is the majority. The emergence of immune checkpoint inhibitors (ICIs) has greatly changed the treatment strategy of NSCLC and improved the prognosis of patients. However, in reality, only a small number of patients can achieve long-term benefit. Therefore, the identification of reliable predictive biomarkers is essential for the selection of treatment modalities. With the development of molecular biology and genome sequencing technology in recent years, as well as the in-depth understanding of tumor and its host immune microenvironment, research on biomarkers has emerged in an endless stream. This review focuses on the predictive biomarkers of immunotherapy efficacy in NSCLC, in order to provide some guidance for precision immunotherapy.

Current vehicle carbon emission models tend to ignore the influence of road roughness on driving speed selection, which may damage the carbon emission evaluation accuracy. In this study, first, based on the results obtained with a portable emissions measurement system (PEMS), an explicit model for user vehicle carbon emissions, driving speed, and pavement roughness is established. Second, the influence of road roughness on driver behavior choice is investigated, and an interrelationship model between roughness and driving speed choice is developed. Finally, a more realistic carbon emission calculation model during the operation period is proposed based on the pavement performance model, and the accuracy is verified in comparison with the traditional vehicle operating cost (VOC) model. It is found that there exists a carbon emission minimization point under free-flow conditions, and the corresponding driving speed is the optimal speed point of user vehicles, i.e. 63 km/h. In addition, a great linear correlation exists between the roughness and driving speed selection, which should be considered in the final calculation model. The vehicle carbon emission model developed in this research provides solid references for evaluating the life-cycle emission of asphalt pavement and guiding the selection of maintenance strategies for the pavement to lower carbon emissions.

Abstract Atmospheric rivers (ARs) reaching high-latitudes in summer contribute to the majority of climatological poleward water vapor transport into the Arctic. This transport has exhibited long term changes over the past decades, which cannot be entirely explained by anthropogenic forcing according to ensemble model responses. Here, through observational analyses and model experiments in which winds are adjusted to match observations, we demonstrate that low-frequency, large-scale circulation changes in the Arctic play a decisive role in regulating AR activity and thus inducing the recent upsurge of this activity in the region. It is estimated that the trend in summertime AR activity may contribute to 36% of the increasing trend of atmospheric summer moisture over the entire Arctic since 1979 and account for over half of the humidity trends in certain areas experiencing significant recent warming, such as western Greenland, northern Europe, and eastern Siberia. This indicates that AR activity, mostly driven by strong synoptic weather systems often regarded as stochastic, may serve as a vital mechanism in regulating long term moisture variability in the Arctic.

【Background and Objective】 Pressure regulators (PR) are an indispensable component in irrigation systems, particularly in large-scale hilly terrain, ensuring precise water distribution and system efficiency. The performance of PRs heavily relies on the parameters of their internal springs, yet their design requires refinement. This paper aims to propose an efficient and accurate method for rapid design of the pressure regulator springs. 【Method】 The method was based on CFD by using an adaptive mesh technology to construct a model for solving for the spring parameters. We developed a model to determine the spring parameters, by using the PR with a cup-shaped moving part as the case study. We established a comprehensive spring parameter design process and devised a rapid design method based on the force balance principles and Hooke's law. In the numerical model, the outlet pressure was meticulously set to meet specific preset pressure specifications, ensuring design precision. Various inlet boundaries were designed to control the regulating range and ensure stable pressure regulation. Additionally, convergence conditions were established to guarantee that applicable flow rates met design requirements. By configuring appropriate boundary and convergence conditions, our method facilitates efficient spring parameter configuration and achieves multi-objective optimization. 【Result】 ①The absolute error of the design outcomes was less than 2%. ② For a fixed-structure PR, the preload of the configured spring exhibited a positive correlation with the design preset pressure value. However, the relationship between spring stiffness and precompression length with the preset design pressure value was more complicated. When the design PR preset pressure was determined, the preload force of the spring was inversely linearly correlated to the pressure-adjusting cross-sectional height and the water pressure area upstream of the moving part, and was linearly correlated to the water pressure area downstream of the moving part. The interaction effect of PR structural parameters on spring preload force was not significant, but there was a notable interaction effect on spring stiffness and compression length. 【Conclusion】 The proposed method can circumvent the issues associated with the traditional pressure regulator design and can thus be used as an improved method for PR spring design.

Schizophrenia is a chronic mental disorder that often co-occurs with weight gain issues, which impacts medication adherence and symptom recovery in patients, and increases the risk of metabolic and cardiovascular diseases. However, the specific mechanism of weight gain in the patients with schizophrenia remains incompletely understood. Potential factors include increased appetite and abnormal glucose and lipid metabolism due to the effects of antipsychotic drugs on multiple neurotransmitter receptors, shared pathogenesis between schizophrenia and obesity, and unhealthy dietary preferences and lifestyles among the patients with schizophrenia. In recent years, the progress in non-pharmacological interventions in the treatment of weight gain in schizophrenia has been continuously updated, which mainly includes lifestyle interventions, bariatric surgery and neuromodulation technology. Lifestyle interventions include diet, exercises and cognition, and the effectiveness of comprehensive lifestyle intervention models and compliance of patients have become the mainstream of research. Bariatric surgery has a weight loss effect on obese patients with schizophrenia who meet the surgical indications, but the total number of reported cases is still small, and further exploration of perioperative symptom management is needed. In neuromodulation technologies, repeated transcranial magnetic stimulation (rTMS) appears to be promising in the treatment of weight gain in the patients with schizophrenia. The aim of this article is to provide more diversified clinical strategies for the treatment of weight gain in schizophrenia.

As indispensable parts of greenhouses and plant factories, agricultural covering films play a prominent role in regulating microclimate environments. Polyethylene covering films directly transmit the full solar spectrum. However, this high level of sunlight transmission may be inappropriate or even harmful for crops with specific photothermal requirements. Modern greenhouses are integrated with agricultural covering materials, heating, ventilation, and air conditioning (HVAC) systems, and smart irrigation and communication technologies to maximize planting efficiency. This review provides insight into the photothermal requirements of crops and ways to meet these requirements, including new materials based on passive radiative cooling and light scattering, simulations to evaluate the energy consumption and environmental conditions in a greenhouse, and data mining to identify key biological growth factors and thereby improve new covering films. Finally, future challenges and directions for photothermal-management agricultural films are elaborated on to bridge the gap between lab-scale research and large-scale practical applications.

Perivascular adipose tissue (PVAT) is a unique fat depot surrounding blood vessels and plays a vital role in the progression of vascular remodeling and dysfunction. PVAT exhibits remarkable differences in structure, phenotype, origin, and secretome across anatomical locations. The proximity of PVAT to neighboring vascular beds favors a niche for bidirectional communication between adipocytes and vascular smooth muscle cells, endothelial cells, and immune cells. In this review, we update our understanding of PVAT’s regional differences and provide a comprehensive exploration of how these differences impact cross-talks between PVAT and the vascular wall. Different PVAT depots show different degrees of vasoprotective function and resilience to pathological changes such as obesity and vasculopathies, shaping multifaceted interactions between PVAT depots and adjacent vasculatures. The depot-specific resilience may lead to innovative strategies to manage cardiometabolic disorders.

Laser Powder Bed Fusion (LPBF) is a promising metal additive manufacturing technology based on layer by layer powder spreading, and powder bed uniformity has a great influence on the forming quality. By Discrete Element Method and powder spreading experiment, the interaction and movement between powder were studied during powder spreading, including powder jamming, rebound, splash, eddy, and empty powder area. Additionally, five kinds of powder spreading schemes were explored, and the new process of one-way reciprocating with tri-splint blade was designed to change the motion state of powder spreading from “blade pushing powder” to “blade holding powder.” By increasing the distance between the blade and the working platform form 0 to 20 µm with the distance between the upper surface of the substrate and the working platform 50 µm, defects such as powder splash and empty powder decreased. And the uniform powder bed of aluminum alloy powder was achieved with the new process of one-way reciprocating with tri-splint blade structure.

The adult mammalian cardiomyocyte has a limited capacity for self-renewal, which leads to the irreversible heart dysfunction and poses a significant threat to myocardial infarction patients. In the past decades, research efforts have been predominantly concentrated on the cardiomyocyte proliferation and heart regeneration. However, the heart is a complex organ that comprises not only cardiomyocytes but also numerous noncardiomyocyte cells, all playing integral roles in maintaining cardiac function. In addition, cardiomyocytes are exposed to a dynamically changing physical environment that includes oxygen saturation and mechanical forces. Recently, a growing number of studies on myocardial microenvironment in cardiomyocyte proliferation and heart regeneration is ongoing. In this review, we provide an overview of recent advances in myocardial microenvironment, which plays an important role in cardiomyocyte proliferation and heart regeneration.

Canopy temperature strongly influences crop yield formation and is closely related to plant physiological traits. However, the effects of nitrogen treatment on canopy temperature and rice growth have yet to be comprehensively examined. We conducted a two-year field experiment with three rice varieties (HD-5, NJ-9108, and YJ-805) and three nitrogen treatments (zero-N control (CK), 200 kg ha−1 (MN), and 300 kg ha−1 (HN)). We measured canopy temperature using a drone equipped with a high-precision camera at the six stages of the growth period. Generally, canopy temperature was significantly higher for CK than for MN and HN during the tillering, jointing, booting, and heading stages. The temperature was not significantly different among the nitrogen treatments between the milky and waxy stages. The canopy temperature of different rice varieties was found to follow the order: HD-5>NJ-9108>YJ-805, but the difference was not significant. The canopy temperature of rice was mainly related to plant traits, such as shoot fresh weight (correlation coefficient r=–0.895), plant water content (–0.912), net photosynthesis (–0.84), stomatal conductance (–0.91), transpiration rate (–0.90), and leaf stomatal area (–0.83). A structural equation model (SEM) showed that nitrogen fertilizer was an important factor affecting the rice canopy temperature. Our study revealed: (1) A suite of plant traits was associated with the nitrogen effects on canopy temperature, (2) the heading stage was the best time to observe rice canopy temperature, and (3) at that stage, canopy temperature was negatively correlated with rice yield, panicle number, and grain number per panicle. This study suggests that canopy temperature can be a convenient and accurate indicator of rice growth and yield prediction.

The objective of this work is to develop a novel myoelectric pattern recognition (MPR) method to mitigate the concurrent interference of electrode shift and loosening, thereby improving the practicality of MPR-based gestural interfaces towards intelligent control. A Siamese auto-encoder network (SAEN) was established to learn robust feature representations against random occurrences of both electrode shift and loosening. The SAEN model was trained with a variety of shifted-view and masked-view feature maps, which were simulated through feature transformation operated on the original feature maps. Specifically, three mean square error (MSE) losses were devised to warrant the trained model’s capability in adaptive recovery of any given interfered data. The SAEN was deployed as an independent feature extractor followed by a common support vector machine acting as the classifier. To evaluate the effectiveness of the proposed method, an eight-channel armband was adopted to collect surface electromyography (EMG) signals from nine subjects performing six gestures. Under the condition of concurrent interference, the proposed method achieved the highest classification accuracy in both offline and online testing compared to five common methods, with statistical significance (p

As a typical strongly correlated transition oxide, vanadium dioxide (VO2) based nanomaterials have drawn many research attentions these years due to the giant metal-to-insulator phase transition (MIPT) at around 68 °C. However, due to the complexities of the V–O system and interplays between various vanadium oxide phases, the synthesis of high-quality VO2 nanopowders is still fraught with many challenges, especially in air atmosphere. In this paper, we report a novel air atmosphere available liquid-shielding synthesis method for thermochromic VO2 nanoparticles, by using low-eutectic molten-salt (LiCl–KCl) as the liquid-state air-insulation medium at elevated temperature and high-pressure pressed VOSO4–KCl pillars immersed in these liquid salts as the precursor. Small amounts of glucose are added to introduce a slight reductive environment, and well dispersed VO2 nanoparticles with excellent thermochromic properties can be directly synthesized at an ultra-low temperature of 375 °C. This feasible and atmosphere-available mass-production method is rarely reported in the related fields, which may provide a novel protocol strategy for the synthesis of high performance thermochromic VO2 and other functional oxide powders.

This paper proposes a Composition Piecewise Memory Polynomial (CPMP) digital predistortion model based on a Vector Switched (VS) behavioral model to address the challenges of severe nonlinearity and strong memory effects in wideband power amplifiers (PAs). To tackle this issue, two thresholds are calculated and used to segment the envelope values of the input signal according to the nonlinear distortion characteristics of the PA. In this approach, a Generalized Memory Polynomial (GMP) model is employed for the lower segment, a Memory Polynomial (MP) model is employed for the middle segment, and a higher-order GMP model is employed for the upper segment. By sharing the fundamental MP among the proposed segmented models and leveraging a design methodology that configures different cross terms, memory depths, and polynomial orders for each segment, this model achieves superior linearization performance while simultaneously reducing the computational complexity associated with model extraction. The experimental results demonstrate that the adjacent channel power ratio (ACPR) of the predistorted PA output signal using the proposed model improves from −36 dBc to −54 dBc, matching the performance of the GMP model. Furthermore, this performance is 0.5 dBc better than the Piecewise Dynamic Deviation Reduction (PDDR) and Decomposed Vector Rotation (DVR) models. Notably, the complexity of the proposed parameter extraction process is 28.8% of the DVR model, 21.79% of the GMP model, and 12.83% of the PDDR model.

MicroRNAs have been studied extensively in neurodegenerative diseases. In a previous study, miR-153 promoted neural differentiation and projection formation in mouse hippocampal HT-22 cells. However, the pathways and molecular mechanism underlying miR-153-induced neural differentiation remain unclear. To explore the molecular mechanism of miR-153 on neural differentiation, we performed RNA sequencing on miR-153-overexpressed HT-22 cells. Based on RNA sequencing, differentially expressed genes (DEGs) and pathways in miR-153-overexpressed cells were identified. The Database for Annotation, Visualization and Integrated Discovery and Gene Set Enrichment Analysis were used to perform functional annotation and enrichment analysis of DEGs. Targetscan predicted the targets of miR-153. The Search Tool for the Retrieval of Interacting Genes and Cytoscape, were used to construct protein-protein interaction networks and identify hub genes. Q-PCR was used to detect mRNA expression of the identified genes. The expression profiles of the identified genes were compared between embryonic days 9.5 (E9.5) and E11.5 in the embryotic mouse brain of the GDS3442 dataset. Cell Counting Kit-8 assay was used to determine cell proliferation and cellular susceptibility to amyloid β-protein (Aβ) toxicity in miR-153-overexpressed cells. The results indicated that miR-153 increased cell adhesion/Ca2+ (Cdh5, Nrcam, and P2rx4) and Bdnf/Ntrk2 neurotrophic signaling pathway, and decreased ion channel activity (Kcnc3, Kcna4, Clcn5, and Scn5a). The changes in the expression of the identified genes in miR-153-overexpressed cells were consistent with the expression profile of GDS3442 during neural differentiation. In addition, miR-153 overexpression decreased cellular susceptibility to Aβ toxicity in HT-22 cells. In conclusion, miR-153 overexpression may promote neural differentiation by inducing cell adhesion and the Bdnf/Ntrk2 pathway, and regulating electrophysiological maturity by targeting ion channels. MiR-153 may play an important role in neural differentiation; the findings provide a useful therapeutic direction for neurodegenerative diseases.

As one of the forth-generation nuclear energy system reactor types, lead fast reactor has good safety and economical properties due to the stable chemical properties of the coolant and the proliferation characteristics of the fuel, and modular nuclear power faster reactor designed for nuclear plant can further improve the economics of the reactor. In this article, the conceptual design of the lead-based modular power reactors with different power levels loaded with uranium alloy fuel is found to be found that when reactor core size increased to a certain level, the proliferation performance is too high due to the increase of the reactor core size under a specific core life such as 2000EFPD, so at the end of core life, the reactor core still has a large remaining reactivity. The proliferation advantage of the core cannot be fully released during the current core life time. Based on this phenomenon, in this article, we optimized the conceptual design of lead-based modular nuclear power reactor core loaded with uranium alloy fuel, and proposed to choose the appropriate rod to diameter ratio and effective density of fuel based on the power level and life time of the core. By adjusting the amount of uranium and 235U per unit volume, the proliferation performance of the core can be changed to match the power level and life time of the core. So the reactivity of core during the life period does not change, which not only reduce the difficulty of the reactivity control, but also make full use of the proliferation performance of the core. And at the same time, the reasonable rod to diameter ratio can provide safety and design margin for the analysis of thermal and hydraulic safety, and effectively improve the economy and safety of the core.

In the evolving landscape of library services, propelled by advancements in Internet technology and service paradigms, this study utilizes cloud-based lending data from college libraries to improve user profiling and subject-specific lending. Integrating the K-means algorithm with a Boolean matrix-enhanced Apriori algorithm, we devise a data mining model that fine-tunes detecting patterns in user borrowing behaviors. This approach distinguishes five distinct subject areas: energy, computing, electronic communication, machinery, and environmental chemistry. The outcome reveals a bibliographic association rule mining confidence of up to 79.38%, a 30% increase over conventional methods. Moreover, it generates three notable 2-item sets. Our model introduces a groundbreaking way to offer personalized library services, significantly enriching the user experience with tailored subject information.

Organ transplantation is the gold standard therapy for end-stage organ failure. However, the shortage of available grafts and long-term graft dysfunction remain the primary barriers to organ transplantation. Exploring approaches to solve these issues is urgent, and CRISPR/Cas9-based transcriptome editing provides one potential solution. Furthermore, combining CRISPR/Cas9-based gene editing with an ex vivo organ perfusion system would enable pre-implantation transcriptome editing of grafts. How to determine effective intervention targets becomes a new problem. Fortunately, the advent of high-throughput CRISPR screening has dramatically accelerated the effective targets. This review summarizes the current advancements, utilization, and workflow of CRISPR screening in various immune and non-immune cells. It also discusses the ongoing applications of CRISPR/Cas-based gene editing in transplantation and the prospective applications of CRISPR screening in solid organ transplantation.

In this study, we investigated the bioactive compounds extracted from air-dried mulberry fruit (DMF), mulberry fruit juice (MFJ), and mulberry fruit pomace (MFP). We examined the effects of extracts from DMF, MFJ, and MFP on advanced glycation end-products (AGEs). The in vitro results showed significant inhibition of AGEs both in the fructose-BSA and MGO-BSA models. The results of compositional analysis showed that the phenolic content was partially positively correlated with their antioxidant capacity. Additionally, we investigated the potential of MFP extracts to improve MGO-induced aging-related deficits in HaCaT cells. Furthermore, the in vivo trial results showed that both DMF-W (with water extraction) and DMF-P (with Pectinex® XXL extraction) significantly increased the moisture, HA and HYP contents in the skin of mice, reduced the levels of AGEs, and improved the oxidative stress damage in aging mice. Additionally, DMF-P showed a better anti-skin aging effect.

To enhance the specificity and sensitivity, cut the cost, and realize joint detection of multiple indicators, an immunoassay system based on the technology of time-resolved fluorescence resonance energy transfer (TR-FRET) was studied. Due to the FRET of the reagent, the donor probe and acceptor probe emitted specific fluorescence to enhance specificity. Long-lifetime specific fluorescence from the acceptor probe was combined with time-resolved technology to enhance sensitivity. A xenon flash lamp and a photomultiplier tube (PMT) were selected as the light source and detector, respectively. A filter-switching mechanism was placed in the light path, so the fluorescence signal from the donor and acceptor was measured alternately. The instrument’s design is given, and some specificI parts are described in detail. Key technical specifications of the instrument and procalcitonin (PCT), C-reactive protein (CRP), and interleukin-6(IL-6) were tested, and the test results were presented subsequently. The CV value of the self-designed counting module is better than 0.01%, and the instrument noises for 620 nm and 665 nm are 41.44 and 10.59, respectively. When set at 37 °C, the temperature bias (B) is 0.06 °C, and the temperature fluctuation is 0.10 °C. The CV and bias are between ±3% and 5%, respectively, when pipetting volumes are between 10 μL and 100 μL. Within the concentration range of 0.01 nM to 10 nM, the luminescence values exhibit linear regression correlation coefficients greater than 0.999. For PCT detection, when the concentration ranges from 0.02 ng/mL to 50 ng/mL, the correlation coefficient of linear fitting exceeds 0.999, and the limit of quantification is 0.096 ng/mL. For CRP and IL-6, the detection concentration ranges from 0 ng/mL to 500 ng/mL and 0 ng/mL to 20 ng/mL, respectively, with limits of quantification of 2.70 ng/mL and 2.82 ng/mL, respectively. The experimental results confirm the feasibility of the technical and instrumental solutions.

By analyzing the influencing factors of consumer purchasing decision-making behavior, brand enterprises can gain a deeper understanding of consumers' purchasing needs, thereby better formulating and developing marketing strategies. This article defines consumer purchasing decision behavior and points out that the notification of consumer purchasing behavior under the current new situation includes strong information collection ability, personalized consumption presentation, and high consumer initiative. Taking Starbucks as a case study, the influencing factors of consumer purchasing decision behavior are analyzed. They are economic factors, social factors, organizational factors, and individual factors, and targeted marketing strategies for enterprises under the new situation are proposed, including strengthening brand image construction, improving product personality level, enhancing online marketing capabilities, and cultivating professional marketing teams.

In today’s society, business leaders increasingly attach great importance to leadership that can inspire employees’ enthusiasm for work and make the entire company more orderly. The whole company is united and working towards the company’s common goals. 0Leadership consists of a variety of elements, such as the leader’s personality, the leader’s values, emotional intelligence, the leader’s ability to adapt and solve problems. At the individual employee level, the higher an employee’s level of expertise, higher workability, higher work motivation, more growth opportunities, and higher potential will lead to better performance. Therefore, high-quality leadership has a vital role in promoting employee performance. This paper discusses the definitions of leadership and employee performance, analyzes the case of Huawei, illustrates the influence of leadership on employee performance, and makes management-related suggestions regarding corporate governance.

The new power system is an important carrier for building a new energy system and serving the "dual carbon". The power grid is a hub platform for energy conversion, utilization, transmission configuration, and supply-demand docking, and is a key link in building a new power system. A profound understanding of the development characteristics of the new power system is of great significance for grasping the changes in the essential features of safety management. The new power system has undergone significant changes in terms of power generation, user side, and overall system characteristics, posing many challenges to the supply and demand, network, and institutional mechanisms of security governance. It is necessary to pay attention to sufficient power supply, strengthen network security guarantees, establish and improve relevant institutional standards, and ensure high-quality economic and social development with high-level security.

Timely and accurate monitoring is a prerequisite to survey the types, quantities, quality, and distribution of various natural resources. Currently, satellite remote sensing is the major observation method, which has advantages in observation scale, fast speed, and low cost. However, with the increasingly precise management of natural resource, satellite remote sensing faces some shortcomings in observation timeliness, dynamism, and accuracy. To solve these problems, combining space-based, air-based, and ground-based observation technologies can offer an effective approach by taking the advantages of each technology. This study focuses on development and applications of an integrated space-air-ground observation network to avoid the insufficiencies of individual monitoring method in natural resource monitoring and supervision. In this paper, we combined satellite remote sensing, drone photography, video surveillance, and field survey to establish an integrated space-air-ground observation network, proposed a cooperative observation mechanism in observation task, scale, and time. Then monitoring indicators and supervision process was established via indicator library and workflow engine, realizing closed-loop management of “discovery, analysis, verification, disposal, and cancellation” for natural resource monitoring and supervision. Afterward, by connecting the observation network and following the closed-loop management process, a cross terminal software was designed and developed to achieve process automation of natural resource monitoring and supervision. Finally, the observation network and software was put into practice, and the results indicate that the integrated space-air-ground observation network can effectively improve the efficiency and accuracy of natural resource of monitoring and supervision.