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【Objective】 The inlet forebay with a diffusion angle is a component of pump stations that helps distribute water flow evenly before it reaches the pump. We present a method in this paper to optimize the design of the inlet forebay, using the Xuliu Irrigation Station as a case study. 【Method】 The proposed method utilized the Navier-Stokes equations and the RNG k-ε turbulence model. Three-dimensional water flow in the forebay was numerically simulated under various scenarios, including the current configuration, modifications to the guide walls, and the addition of support columns. The optimal forebay design was determined by comparing the flow patterns generated in each scenario. 【Result】 Both guide walls and support columns improve flow patterns. Installing support columns increases the uniformity of average axial flow velocity distribution and the velocity-weighted average angle at the channel outlet to 97.74% and 88.42°, respectively, slightly surpassing the performance of the guide wall scheme and improving by 1.14% and 1.25° over the current configuration. At the channel inlet, the uniformity of average axial flow velocity distribution and velocity-weighted average angle were 62.86% and 65.82°, respectively, which were significantly higher than those achieved with the guide wall scheme and represented increases of 26.4% and 36.9° over the current configuration. The support column scheme also reduced the proportion of the vortex area in the forebay to 5%, compared to 7% with the guide wall scheme and 45% with the current configuration. 【Conclusion】 Installing support columns effectively improves the uniformity of water flow diffusion and reduces vortex areas, enhancing flow patterns in the forebay compared to the guide wall scheme. These results provide guidance for renovating the forebay at the Xuliu Irrigation Station and similar irrigation projects.

Abstract The goal of this study was to compare the advantages of conventional laparoscopic surgery (CLS) and the split-leg supine position single-port plus one laparoscopic surgery (SSP SILS + 1) in esophageal surgery. This study enrolled 73 patients who previously underwent radical esophagectomy for esophageal cancer from August 2021 to February 2023. Among them, 36 patients underwent SSP SILS + 1, whereas the remaining 37 patients underwentCLS. Surgical time, bleeding volume, number of dissected lymph nodes, incision length, and postoperative abdominal pain score between the two groups of patients were compared using either the Student’s t-test or chi-square test. Time of abdominal incision (1.4 ± 0.2 min vs. 5.2 ± 0.7 min, p 0.01) between the two groups. The SSP SILS + 1 intervention offers multiple benefits over conventional surgical procedures, encompassing shorter incision length and pain scores on POD 1. In accelerated rehabilitation surgery for esophageal cancer, this surgical procedure demonstrated high safety, feasibility.

Abstract Objective The associations between the ratio of blood high-sensitivity C-reactive protein (hs-CRP) to high-density lipoprotein cholesterol (HDL-C) (hs-CRP/HDL-C ratio) and outcomes in patients with acute ischemic stroke (AIS) have yet to be established. This study is the first to examine the relationship between the hs-CRP/HDL-C ratio and three-month unfavorable outcomes in patients with AIS. Methods This secondary analysis utilized data from a prospective cohort study involving 1559 AIS patients recruited at a South Korean hospital between January 2010 and December 2016. We constructed a binary logistic regression model to explore the association between the hs-CRP/HDL-C ratio and unfavorable outcomes in patients with AIS. An attempt was made to use a generalized additive model (GAM) with smooth curve fitting to elucidate potential nonlinear interactions. Furthermore, inflection points were identified via a recursive method, and binary logistic regression models were developed for each side of these inflection points. Ultimately, a log-likelihood ratio test was used to identify the most appropriate model for explaining the connection between the hs-CRP/HDL-C ratio and unfavorable outcomes in patients with AIS. Results The incidence of unfavorable outcomes was 24.5%, with a median hs-CRP/HDL-C ratio of 3.64. After accounting for other factors, the binary logistic regression model revealed a statistically significant positive association between the hs-CRP/HDL-C ratio and the likelihood of poor outcomes in AIS patients (OR = 1.013, 95% CI: 1.005–1.022; P = 0.002). A nonlinear relationship was observed, with the first inflection point of the hs-CRP/HDL-C ratio at 42.74. Each 1-unit increase in the hs-CRP/HDL-C ratio was associated with a 2.4% greater risk of unfavorable outcomes (OR = 1.024, 95% CI: 1.011–1.038, P

Abstract [Objective] The study aims to explore the effects of compound fungi inoculant application on the growth, root morphology, and photosynthetic characteristics of Chinese flowering cabbage seedlings, and provide a theoretical basis for the application of compound fungi inoculant to alleviate the obstacle of continuous cropping of Chinese flowering cabbage. [Methods] The Chinese flowering cabbage variety ‘Jianye- 70’, with which microbial agents and soil had been continuously cropped for 9 years, were used in pot experiments. Four treatments were set up: No compound microbial agents (control), foliar spraying, soil spraying, and foliar spraying plus soil spraying. The plant growth indicators, root system configuration, and leaf photosynthetic characteristics were observed after sowing for 30 days. [Results] Every application method could increase growth indicators, root system conformation, leaf photosynthetic characteristics net photosynthetic rate (Pn), actual photochemical efficiency (ΦPSⅡ ), and photochemical quenching coefficient (qp) etc., as well as decrease transpiration rate (Tr), intercellular carbon dioxide concentration (Ci), and non photochemical quenching coefficient (NPQ) etc. Among the application methods, foliar spraying had the best effect. Its above-ground and underground dry weight and root length were significantly increased by 128.57%, 85.71%, and 91.81%. Pn, qp, and ΦPSⅡ were significantly increased by 24.55%, 22.68%, and 23.93%, while Tr, Ci, and NPQ were significantly decreased by 72.73%, 20.01%, and 39.78%, respectively. [Conclusion] Foliar spraying of compound fungi can effectively promote the growth of continuous cropping cabbage seedlings, improve root configuration, enhance plant photosynthetic efficiency, which is the best way of compound fungi application

Abstract Acute gastrointestinal injury (AGI) is common in mechanically ventilated (MV) patients, but the potential association between ventilatory pressure parameters and AGI grade and their impact on mortality remains unclear. This study aimed to explore the association between ventilatory pressure parameters and AGI grade, and their interaction on all-cause mortality in MV patients. This study was a secondary analysis of a multicenter, prospective, observational study that enrolled adult patients with an expected duration of mechanical ventilation ≥ 48 h from 14 general intensive care units in Zhejiang Province between March and August 2014. The AGI grade was assessed daily on the basis of gastrointestinal symptoms, intra-abdominal pressures, and feeding intolerance in the first week of admission to the ICU. This study included 331 patients (69.2% men; mean age, 64.6 ± 18.9 years). Multivariate regression analysis showed that plateau pressure (Pplat) (OR 1.044, 95% CI 1.009–1.081, P = 0.013), serum creatinine (OR 1.003, 95% CI 1.001–1.006, P = 0.042) and APACHE II score (OR 1.035, 95% CI 1.021–1.072, P = 0.045) were independently associated with global AGI grade III/IV within 7 days of ICU admission. Moreover, global AGI grade (HR 2.228, 95% CI 1.561–3.182, P

Abstract Novelty and appropriateness are two fundamental components of creativity. However, the way in which novelty and appropriateness are separated at behavioral and neural levels remains poorly understood. In the present study, we aim to distinguish behavioral and neural bases of novelty and appropriateness of creative idea generation. In alignment with two established theories of creative thinking, which respectively, emphasize semantic association and executive control, behavioral results indicate that novelty relies more on associative abilities, while appropriateness relies more on executive functions. Next, employing a connectome predictive modeling (CPM) approach in resting-state fMRI data, we define two functional network-based models—dominated by interactions within the default network and by interactions within the limbic network—that respectively, predict novelty and appropriateness (i.e., cross-brain prediction). Furthermore, the generalizability and specificity of the two functional connectivity patterns are verified in additional resting-state fMRI and task fMRI. Finally, the two functional connectivity patterns, respectively mediate the relationship between semantic association/executive control and novelty/appropriateness. These findings provide global and predictive distinctions between novelty and appropriateness in creative idea generation.

Sleep deprivation has been demonstrated to exert widespread and intricate impacts on the brain network. The human brain network is a modular network composed of interconnected nodes. This network consists of provincial hubs and connector hubs, with provincial hubs having diverse connectivities within their own modules, while connector hubs distribute their connectivities across different modules. The latter is crucial for integrating information from various modules and ensuring the normal functioning of the modular brain. However, there has been a lack of systematic investigation into the impact of sleep deprivation on brain connector hubs. In this study, we utilized functional connectivity from resting-state functional magnetic resonance imaging, as well as structural connectivity from diffusion-weighted imaging, to systematically explore the variation of connector hub properties in the cerebral cortex after one night of sleep deprivation. The normalized participation coefficients (PCnorm) were utilized to identify connector hubs. In both the functional and structural networks, connector hubs exhibited a significant increase in average PCnorm, indicating the diversity enhancement of the connector hub following sleep deprivation. This enhancement is associated with increased network cost, reduced modularity, and decreased small-worldness, but enhanced global efficiency. This may potentially signify a compensatory mechanism within the brain following sleep deprivation. The significantly affected connector hubs were primarily observed in both the Control Network and Salience Network. We believe that the observed results reflect the increasing demand on the brain to invest more effort at preventing performance deterioration after sleep loss, in exchange for increased communication efficiency, especially involving systems responsible for neural resource allocation and cognitive control. These results have been replicated in an independent dataset. In conclusion, this study has enhanced our understanding of the compensatory mechanism in the brain response to sleep deprivation. This compensation is characterized by an enhancement in the connector hubs responsible for inter-modular communication, especially those related to neural resource and cognitive control. As a result, this compensation comes with a higher network cost but leads to an improvement in global communication efficiency, akin to a more random-like network manner.

Epidermal stem cells (EpSCs) play a vital role in skin wound healing through re-epithelialization. Identifying chemicals that can promote EpSC proliferation is helpful for treating skin wounds. This study investigates the effect of morroniside on cutaneous wound healing in mice and explores the underlying mechanisms. Application of 10‒50 μg/mL of morroniside to the skin wound promotes wound healing in mice. In vitro studies demonstrate that morroniside stimulates the proliferation of mouse and human EpSCs in a time- and dose-dependent manner. Mechanistic studies reveal that morroniside promotes the proliferation of EpSCs by facilitating the cell cycle transition from the G1 to S phase. Morroniside increases the expression of β-catenin via the glucagon-like peptide-1 receptor (GLP-1R)-mediated PKA, PKA/PI3K/AKT and PKA/ERK signaling pathways, resulting in an increase in cyclin D1 and cyclin E1 expression, either directly or by upregulating c-Myc expression. This process ultimately leads to EpSC proliferation. Administration of morroniside to mouse skin wounds increases the phosphorylation of AKT and ERK, the expressions of β-catenin, c-Myc, cyclin D1, and cyclin E1, as well as the proliferation of EpSCs, in periwound skin tissue, and accelerates wound re-epithelialization. These effects of morroniside are mediated by the GLP-1R. Overall, these results indicate that morroniside promotes skin wound healing by stimulating the proliferation of EpSCs via increasing β-catenin expression and subsequently upregulating c-Myc, cyclin D1, and cyclin E1 expressions through GLP-1R signaling pathways. Morroniside has clinical potential for treating skin wounds.

With the large-scale integration of renewable energy， distribution networks are faced with frequent voltage limit violations. In response to this challenge， it is urgent to study whether new voltage regulation measures， represented by photovoltaic inverters， can meet the daily voltage regulation needs of distribution networks. To objectively evaluate the adaptability of voltage regulation measures in distribution systems， a method based on interval and probability power flow analysis is proposed. This method enables a comprehensive analysis of voltage regulation effectiveness and cost. Firstly， based on the results of interval and probability power flow， indicators for voltage regulation effectiveness evaluation in distribution networks are constructed. Secondly， the corresponding cost of the optimal reactive power scheme is used as the cost benchmark value to construct the evaluation index of the voltage regulation cost of the distribution network. On this basis， the analytic hierarchy process （AHP） is employed to weight the effectiveness and cost indicators and thus establish a comprehensive evaluation indicator system for voltage regulation adaptability in distribution network. Finally， based on the constructed evaluation indicators， adaptability analysis of voltage regulation measures in distribution networks is conducted. The rationality of the proposed method is validated through comparative evaluations under multiple scenarios.

Abstract To investigate the impact of sleep deprivation (SD) on mood, alertness, and resting-state electroencephalogram (EEG), we present an eyes-open resting-state EEG dataset. The dataset comprises EEG recordings and cognitive data from 71 participants undergoing two testing sessions: one involving SD and the other normal sleep. In each session, participants engaged in eyes-open resting-state EEG. The Psychomotor Vigilance Task (PVT) was employed for alertness measurement. Emotional and sleepiness were measured using Positive and Negative Affect Scale (PANAS) and Stanford Sleepiness Scale (SSS). Additionally, to examine the influence of individual sleep quality and traits on SD, Pittsburgh Sleep Quality Index (PSQI) and Buss-Perry Aggression Questionnaire (BPAQ) were utilized. This dataset’s sharing may contribute to open EEG measurements in the field of SD.

In the late stage of development， the complex fault block reservoir faces a series of problems， such as high comprehensive water cut， lack of formation energy， complex remaining oil distribution， and poor well pattern suitability. In this paper， based on the oil-water distribution status of the waterflooding reservoir， such as water-in-oil and oil-in-water， the development mode of single-layer outer edge waterflooding was studied through theoretical model derivation and numerical simulation methods by taking Ken71 fault block reservoir in the middle of Zhanhua Sag of Jiyang Depression as an example. The results show that the reasonable water injection volume， fluid production volume， and spacing between injection and production wells during single-layer development can be obtained through the force analysis of the fluid production end and the water injection end. The key factors affecting the remaining oil saturation and the water saturation are reasonable water injection pressure difference， water injection volume， and fluid production volume of single-layer development systems. It is essential in controlling the reasonable formation pressure level and the secondary enrichment of the remaining oil. The spacing between injection and production wells increases to the periphery of the oil-water boundary， and 2.9 times the width of the oil-bearing strip is the critical value of reasonable spacing between injection and production wells. An asymmetric periodic injection and production method with short injection and long standing is adopted to establish a single-layer outer edge waterflooding development model， which is beneficial to maintain the stability of the pressure system and increase the sweep efficiency of the remaining oil of the single-layer， so as to improve the oil recovery. Field application shows that after applying the single-layer outer edge waterflooding development model， the daily production of Ken71 fault block increases to 254 t， the water cut is controlled to 93.7%， the recovery increases to 31.53%， and the oil recovery rate is increased by 4.9%， which shows an excellent yield-increasing effect. The single-layer outer edge waterflooding model solves the problems in the development of complex fault block reservoirs with high water cut， such as dispersed remaining oil distribution， low waterflooding sweep efficiency， and poor well pattern suitability and can provide guidance and reference for complex fault block reservoir development.

Unlike imaging in air, underwater panoramic imaging faces great challenges arising from water pressure and diminished light, necessitating special lens packaging and focused underwater illumination. The processing of underwater images from multiple channels necessitates adaptations to existing image processing algorithms to mitigate color cast, noisy points, and other imaging defects. And based on the hot research of panoramic video transmission, the underwater panoramic imaging system on the ROV platform holds great development potential.Based on the technical research of underwater panoramic photography, this paper first elaborates on the generation and transmission of underwater panoramic images and discusses two camera layouts: distributed and integrated, utilizing the remotely operated vehicle (ROV) platform as the carrier, through an analysis of camera hardware requirements. Subsequently, it introduces the creation of panoramic images from multiple channels of image data through a process involving image preprocessing, stitching, and fusion. Lastly, taking into account of remote video transmission through water boundaries, a self-adaptive multi-rate transmission scheme is presented, based on the stream division into slices (Tile stream) for panoramic videos. From the development of underwater panoramic technology, with the improvement of panoramic technologies such as lossless image stitching, iterative computing speed of image processors, image restoration, ultra bandwidth connection, and panoramic video transmission, ROV platform panoramic camera systems will be widely applied.

In early 2023, China experienced its first widespread COVID-19 outbreak after a policy shift. This study examines the relationship between fatigue and COVID-19-related post-traumatic stress symptoms (PTSS) in infected and uninfected individuals, exploring the potential mediating role of insomnia symptoms. An online survey of 5953 Chinese participants was conducted from 10 to 16 January 2023. Participants reported their COVID-19 infection status, fatigue, insomnia symptoms, and PTSS. Multi-group structural equation modeling (SEM) was used to test whether the mediation paths differed between infected and uninfected groups. The prevalence of fatigue, insomnia symptoms, and COVID-19 PTSS were 30.0%, 36.4%, and 5.8%. The SEM based on the bootstrapping showed that after controlling for demographics, chronic fatigue positively associated with COVID-19 PTSS in a significant way, with insomnia symptoms playing a mediating role. The multi-group analyses further revealed a partial mediation effect of insomnia symptoms on the relationship between fatigue and COVID-19 PTSS in the uninfected group (UG). However, for the infected group (IG), insomnia symptoms fully mediated the relationship between fatigue and COVID-19 PTSS. Infected individuals were more subject to the aforementioned mechanism than uninfected individuals. Addressing chronic fatigue, insomnia, and developing targeted interventions are crucial for supporting mental health across different infection statuses.

Prostate cancer is a cancer prevalent form characterized by serious clinical symptoms. The discovery of a novel supplement or medication for prostate cancer within the realm of chemotherapeutic drugs holds significant value. Our research involved the synthesis of copper nanoparticles (CuNPs) infused with Pistacia khinjuk leaf extract to explore their potential anti-prostate cancer, cytotoxic, and antioxidant properties. The green-formulated CuNPs were characterized by TEM, UV-Vis spectrophotometry, FE-SEM, FTIR. The FE-SEM and TEM findings prove the spherical structure with a size of 10–70 nm. The DPPH assay was carried out to examine the effectiveness of antioxidants. CuNPs exhibited the ability to inhibit 50% of DPPH at 215 µg/mL. To assess the anti-prostate cancer properties of CuNPs, an MTT assay was performed on NCI-H660, DU 145, LNCaP clone FGC, and LNCaP clone FGC-Luc2 cells. CuNPs exhibited remarkable efficacy in inhibiting prostate cancer growth, while demonstrating negligible toxicity towards normal cells. The LNCaP clone FGC cell line displayed the most potent anti-prostate cancer effects of CuNPs. IC50 of CuNPs was 322, 365, 247, and 273 on NCI-H660, DU 145, LNCaP clone FGC, and LNCaP clone FGC-Luc2 prostate cancer cells. CuNPs containing Pistacia khinjuk were found to possess noteworthy anti-prostate carcinoma characteristics and presented excellent antioxidant potentials, as highlighted by this study.

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.

IntroductionAttentional enhancement has often been identified as the central cognitive mechanism underlying the benefits of mindfulness meditation. However, the extent to which this enhancement is observable in the neural processes underlying long-term meditation is unclear. This current study aimed to examine differences in attentional performance between meditators and controls (non-meditators) using a visual oddball task with concurrent electroencephalography (EEG) recordings.MethodsThirty-four participants were recruited, including 16 meditators and 18 healthy controls, who were non-meditators. The participants completed a visual oddball task, using visual stimuli, and EEG recording.ResultsSelf-reports revealed that meditators had higher mindful attention scores than did the control group. The behavioral results showed that the meditators demonstrated faster reaction times than the non-meditators did. Neural findings indicated a higher P2 amplitude in the meditators than in the controls. The meditators demonstrated a significantly higher P3 in the target trials than in the distractor trials, which was not observed in the controls. Additionally, the time-frequency analysis demonstrated that the delta and theta powers in the meditators were significantly higher than those in the controls.ConclusionsThe study suggests the meditators exhibited greater attentional performance than the controls did, as revealed by EEG and behavioral measures. This study extends previous research on the effects of mindfulness meditation on attention and adds to our understanding of the effects of long-term mindfulness meditation.

With its formidable nonlinear mapping capabilities, deep learning has been widely applied in bearing remaining useful life (RUL) prediction. Given that equipment in actual work is subject to numerous disturbances, the collected data tends to exhibit random missing values. Furthermore, due to the dynamic nature of wind turbine environments, LSTM models relying on manually set parameters exhibit certain limitations. Considering these factors can lead to issues with the accuracy of predictive models when forecasting the remaining useful life (RUL) of wind turbine bearings. In light of this issue, a novel strategy for predicting the remaining life of wind turbine bearings under data scarcity conditions is proposed. Firstly, the average similarity (AS) is introduced to reconstruct the discriminator of the Generative Adversarial Imputation Nets (GAIN), and the adversarial process between the generative module and the discriminant is strengthened. Based on this, the dung beetle algorithm (DBO) is used to optimize multiple parameters of the long-term and short-term memory network (LSTM), and the complete data after filling is used as the input data of the optimized LSTM to realize the prediction of the remaining life of the wind power bearing. The effectiveness of the proposed method is verified by the full-life data test of bearings. The results show that, under the condition of missing data, the new strategy of AS-GAIN-LSTM is used to predict the RUL of wind turbine bearings, which has a more stable prediction performance.

The principles and methods of human resource management have been introduced into the field of education for some time, but the analysis of the current state of research, specifically on educational management, is still insufficient. The first part of this paper analyzes the measures that are related to human resource management in education management reform in each sector and further investigates the factor analysis method in the public sector human resource management system. By constructing the factor analysis model and factor calculation method, we can provide an algorithmic basis for studying the role of public sector human resource management in education management reform. The article utilizes the factor analysis method to conduct an empirical study by using the educational resources of different schools in 11 cities of Province A as test objects. According to the study, the first principal component has seven-factor loadings that are higher than 0.72, which indicates that all seven factors have a positive impact on the allocation efficiency of higher vocational education. The second principal component has four-factor loadings greater than 0.80, suggesting that all four factors have a positive effect on the allocation efficiency output of higher vocational education. From the sample data of the school education resource allocation status of each city, it can be obtained that the school education resource allocation status of city A is the most favorable, with the highest overall score of 43,153.1, followed by city B and city D, with 25,431.9 and 12,136.4, respectively. This indicates that the education resource allocation effect of these three cities is better and belongs to the upstream level in province Z.

This paper commences by assessing the current landscape of power system development, focusing on the theory, principles, and structures of demand-side flexible resources and their aggregation technology. Utilizing network crawler technology within a knowledge graph framework, the research data pertinent to demand-side flexible resources and aggregation technology are extracted. These data undergo a meticulous cleaning process before being stored, culminating in the development of a knowledge graph tailored to the imaging and technology of demand-side flexible resources. The findings reveal a response rate of 7.25% ± 1.15%, with an uncertainty interval of 2.33%. Variations in air-conditioning load states appear to exert minimal impact on the response time lag. Following the issuance of a response signal, all systems can rapidly initiate appropriate response actions, demonstrating an uncertainty interval of approximately 52s±11s and 22s. The duration of the responses averages around 75s±11s, with an uncertainty interval of about 30s. This study fulfills the power system criteria for standards of demand-side flexible resources and augments the competitiveness of China’s power market.

High skeletal titanium content, open mesoporous TS-1 titanosilica molecular sieves with more accessible active centres exhibit higher catalytic activity, target product selectivity and resistance to coking deactivation in green catalytic oxidation reactions using hydrogen peroxide as oxidant. In this paper, TS-1 titania-silica molecular sieves without anatase, with the highest theoretical skeletal titanium content (2.0 wt%) and open mesopores (mesopore volume 0.71 cm3/g) were synthesised based on the ageing dry gel limited domain conversion method invented in previous research work. The intrinsic kinetics of the catalytic reaction of phenol with hydrogen peroxide for direct hydroxylation of benzenes was investigated. The effects of stirring rate, phenol concentration, hydrogen peroxide concentration, catalyst dosage and reaction temperature on the initial conversion rate of phenol were investigated, and the experimental data were fitted with a power function equation to obtain the intrinsic kinetic equation of the catalyst (r=2.98×106 exp (−56.43×103RT)c1.07(Phenol)c0.10(H2O2))\left( {{\rm{r}} = 2.98 \times {{10}^6}\,\exp \,\left( { - {{56.43 \times {{10}^3}} \over {RT}}} \right){c^{1.07}}\left( {{\rm{Phenol}}} \right){c^{0.10}}\left( {{{\rm{H}}_2}{{\rm{O}}_2}} \right)} \right). Under the condition of eliminating the effect of internal and external diffusion, the reaction was 1.07 and 0.10 for phenol and hydrogen peroxide, respectively, with a reaction activation energy of 56.43 kJ/mol. This study provides a theoretical basis for the reactor and process design of hydroxylation of phenol to benzenediol based on this new catalyst.