Abstract:

To achieve quality control throughout the entire production process of Kalimeris indica（L.）Sch .-Bip. formula granules, a quality evaluation method based on standard decoction was established for Kalimeris indica（L.）Sch .-Bip. formula granules. According to the preparation requirements of standard decoction for traditional Chinese medicine, 15 batches of Kalimeris indica（L.）Sch .-Bip. standard decoction and three batches of formula granules were prepared. The contents of cryptochlorogenic acid, caffeic acid, ferulic acid,3 ,5-O-di-caffeoylquinic acid, and 4 ,5-O-di-caffeoylquinic acid were quantitatively calculated, and the characteristic chromatogram of Kalimeris indica（L.）Sch .-Bip. was established and analyzed using ultra-high performance liquid chromatography. The results show that there were 23 common peaks in the UPLC fingerprint spectra of 15 batches of Kalimeris indica（L.）Sch .-Bip. standard decoction (S1-S15) and three batches of formula granules (KL1-KL3). Similarity evaluation, HCA, and PCA indicate that the components of Kalimeris indica（L.）Sch .-Bip. formula granules are similar to those of the standard decoction. The extract yield of 15 batches of Kalimeris indica（L.）Sch .-Bip. standard decoction (S1-S15) range from 18.84% to 32.52%. The mass fractions of cryptochlorogenic acid, caffeic acid, ferulic acid, 3 ,5-O-di-caffeoylquinic acid, and 4 ,5-O-di-caffeoylquinic acid are 0.42~0.83, 0.37~0.95, 0.29~061, 0.08~0.18, and 0.19~0.44 mg/g, respectively. The transfer rates of the five components from the decoction pieces to the standard decoction are 33.77%~82.62%, 28.44%~65.96%, 30.98%~71.08%, 26.29%~77.87%, and 25.91%~60.79%, respectively. The transfer rates of the five components from the decoction pieces to the formula granules in the three batches of Kalimeris indica（L.）Sch .-Bip. formula granules (KL1-KL3) are 47.96%~50.82%, 32.89%~39.45%, 42.48%~43.89%, 26.94%~33.96%, and 33.32%~35.57%, respectively, which are basically consistent with the transfer rates from the decoction pieces to the standard decoction. The proposed preparation process of Kalimeris indica（L.）Sch .-Bip. standard decoction is feasible, and the established characteristic fingerprint spectrum and content determination methods of the standard decoction are stable, providing a basis for the quality standard research of Kalimeris indica（L.）Sch .-Bip. formula granules.

Abstract:

To improve the extraction yield of effective components from Xiao ’er Qushi Zhiyang Granules and enhance the stability of preparation quality, this study optimizes the water extraction process of Xiao ’er Qushi Zhiyang Granules by combining single-factor experiments with the Box-Behnken response surface methodology. The amount of added water, extraction time and soaking time were selected as investigation factors, while the contents of rosmarinic acid, paeoniflorin and obacunone and the yield of dry extract were adopted as evaluation indicators. A combined weighting method of Analytic Hierarchy Process-Entropy Weight Method (AHP-EWM) was applied to calculate the comprehensive score. Response surface methodology was employed to analyze the interaction between factors, optimize process parameters, and carry out methodological research and process validation. The results show that the optimal water extraction process is as follows: adding eight times the amount of water, soaking for 30 minutes, extracting two times, with a total extraction time of three hours. Under this process, the comprehensive score is 95.80 with RSD = 0.96%, and the relative error compared with the predicted value is less than 10%. In conclusion, this process is stable, feasible and has good reproducibility, which can sufficiently extract paeoniflorin, rosmarinic acid, obacunone and other core pharmacodynamically active components in the formula, and can provide a reference for the industrial production and quality control of Xiao ’er Qushi Zhiyang Granules.

Abstract:

To solve the problems of small target missed detection and false detection, difficulty in capturing multi-scale information, and low detection accuracy in complex scenes in existing target detection models for safety helmet wearing detection tasks, a safety helmet wearing detection model, SPCC-YOLOv11n, based on an improved YOLOv11n was proposed. Based on YOLOv11n, the Slim Neck lightweight network structure was adopted, with grouped shuffle convolution (GSConv) replacing standard convolution Conv and variety of view-grouped shuffle convolution cross stage partial (VoV-GSCSP) model replacing C3K2. A new P2 small target detection layer was added. Dynamic tanh (DyT) function was integrated into position-sensitive attention block (PSABlock) to form C2PSA_DyT. Channel prior convolutional attention (CPCA) was introduced at the end of the backbone network. Ablation experiments and comparative experiments with the mainstream detection models were conducted on the public dataset SHWD, and the model′s performance was verified. The results show that compared with YOLOv11n, SPCC-YOLOv11n improves precision by 22 percentage points, recall by 2.8 percentage points, and mAP@50 by 2.2 percentage points, reaching 94.5%, while mAP@50-95 improves by 17 percentage points, reaching 62.5%. The proposed model can effectively improve the detection accuracy of safety helmet wearing in complex scenarios and provide a feasible technical solution for the detection task of safety helmet wearing on construction sites.

Abstract:

To address the problems of a large parameter size and insufficient detection accuracy in complex scenarios for multi-scenario elderly fall detection, a multi-scenario elderly fall detection based on an improved YOLOv12 was proposed. First, grouped shuffle convolution (GSConv) was embedded into the backbone network of YOLOv12, while the Triplet attention mechanism was introduced and the neck network was replaced with the lightweight Slim Neck structure. Second, the improved YOLOv12 model was trained and validated on a self-built fall detection dataset. Finally, detection experiments were conducted on the test set to evaluate the detection accuracy and robustness of the improved model. Experimental results show that, compared with the original YOLOv12 model, the parameter size of the improved model is reduced from 256 MB to 234 MB, a decrease of 85.9%, and the FLOPs are reduced from 63 G to 54 G, a decrease of 1429%. Meanwhile, mAP@50 increases from 83.8% to 87.6%, mAP@50-95 increases from 51.3% to 55.4%, and Recall increases from 76.5% to 81.3%. The improved YOLOv12 model achieves a favorable balance between lightweight architecture and detection accuracy, providing an effective solution for multi-scenario elderly fall detection.

Abstract:

In order to address the issues of factual inaccuracies and poor domain adaptability in the field of electric power communication customer service, The power communication customer service sector is highly specialized, characterized by extensive terminology and rapidly evolving knowledge. The direct application of general large language models in this domain often leads to factual inaccuracies and poor adaptability. To address these challenges, this paper proposed an automatic knowledge base construction method for electric power communication customer service based on retrieval-augmented generation (RAG) and domain terminology enhancement was proposed. Firstly, unsupervised new word discovery and domain dictionary construction techniques were employed to automatically build a domain-specific terminology library for power communication, which subsequently optimized the semantic understanding capabilities of the retrieval system. Secondly, a hierarchical retrieval strategy was designed, integrating key terminology with semantic vectors to enable precise and automatic retrieval of relevant knowledge fragments from standard documents and historical question-answer data. Finally, using the retrieved information as enriched context, a dynamic instruction template was developed to automatically guide a large language model in generating accurate and standardized question-answer pairs. A closed-loop optimization mechanism further enhanced the quality of the generated output. Experimental results show that the constructed power communication customer service knowledge base achieves a terminology standardization rate of 94.2%, a parameter accuracy of 92.8%, and standard citation accuracy of 86.7%. Domain terminology enhancement and the hierarchical retrieval strategy significantly contribute to the performance improvements. The generated question-answer pairs substantially outperform those produced by baseline direct generation models in terms of quality, effectively mitigating the problem of model hallucination. The proposed method provides a reliable technical pathway for the development of intelligent customer service systems in vertical industries such as power communication.

Abstract:

In order to solve the problem of low accuracy in predicting the instability risk of foundation pit slopes under earthquake action, a seismic stability analysis model was constructed based on limit analysis theory in this study. Firstly, an underground continuous wall enclosure structure was set up and a seismic stability analysis model using MICHALOWSKI/DRESCHER was established. Then, considering different working conditions comprehensively, the cow horn damaged body was inserted into the block as a model, and seismic stability analysis conditions were se. Finally, based on the theory of limit analysis, the virtual power equation was established by calculating the gravity power, seismic force power, and internal energy dissipation rate on the sliding surface, and then the upper limit of the seismic stability coefficient was solved. The results show that when the aspect ratio of the slope from 0.15 increases to 3.56, the seismic stability coefficient drops sharply by 561%. The soil displacement caused by vertical upward seismic force is 0.879 8 m, which is 3.3% higher than the downward displacement; The displacement under the combined seismic load is 0.939 0 m, which is a maximum increase of 10.0% compared to a single direction. Compared to the reinforcement density is 0.2， when the reinforcement density is 2.6, the stability coefficient increases by 28.4%. The proposed model can provide theoretical basis for the design of foundation pit support in high-intensity areas and reduce construction risks.

Abstract:

In order to predict the long-term stability of deep-buried tunnels in rheological rock masses and to analyze the evolution law of contact pressure between the lining structure and the surrounding rock under time-dependent effects, an analytical study on the surrounding rock-lining contact pressure of rheological rock mass tunnel was conducted. Based on complex function theory, a generalized H-K model was introduced to describe the rheological behavior of the surrounding rock. The relationships between stress and displacement of the surrounding rock and the lining under different construction stages were established. The Laplace transform was employed to convert the differential equations into algebraic equations for solving the boundary conditions, and an analytical solution for the time-dependent contact pressure between the surrounding rock and the lining was derived. Combined with geological parameters of a tunnel, the analytical calculation was carried out and compared with field monitoring results. The results indicate that the analytical results show a generally consistent evolutionary trend with the field monitoring data. The response time and magnitude of contact pressure have a significant correlation with the monitoring location. For the arch shoulder, the contact pressure responds the earliest and tends to stabilize at approximately 0.58 MPa about 60 days after the completion of tunnel excavation. At the arch waist and arch foot, the contact pressure increases rapidly at the initial stage and then grows gently, showing a trend of stabilization. The analytical solutions predict that the ultimate contact pressures at the arch waist and arch foot converge to approximately 0.33 MPa and 0.18 MPa, respectively. The findings of this study provide theoretical basis for the design of tunnel linings and the prediction of long-term mechanical responses in rheological rock tunnels.

Abstract:

To enhance the aerodynamic performance of a solar-powered unmanned aerial vehicle (UAV), this study investigated its geometric shape optimization. First, according to the aerodynamic performance requirements of tailless configurations, the overall aircraft layout scheme was designed and parametrically modeled. Second, software modules including CATIA geometric modeling, SpaceClaim preprocessing and Fluent discrete solution were integrated via the Isight platform to establish a fully automatic simulation framework covering the whole workflow of ″modeling-preprocessing-numerical calculation″. Combined with the Kriging surrogate model and non-dominated sorting genetic algorithm (NSGA-Ⅱ), an efficient aerodynamic shape optimization system was constructed. Finally, multi-objective and multi-constraint aerodynamic shape optimization was carried out under the low-Reynolds-number cruise condition of the UAV, where the minimum drag coefficient and minimum pitching moment coefficient were taken as optimization objectives, while the lift-drag ratio and projected area were set as constraint conditions. The results show that the optimized UAV features increased wing-sweep angle and aspect ratio. The scope of low-pressure region on the upper wing surface and the pressure difference between upper and lower wing surfaces both rise accordingly, delaying flow separation at the trailing edge and reducing drag. At the design angle of attack, the lift coefficient increases by 3.9%, the drag coefficient decreases by 5.5%, and the pitching moment coefficient is reduced by 16.8%. At off-design angles of attack, the lift-to-drag ratio also improves. Overall, the aerodynamic efficiency and flight stability of the UAV are significantly improved. The proposed optimization framework provides a valuable technical reference for enhancing the aerodynamic performance of UAVs.

Abstract:

To enhance the gripping stability and flatness of PE inner bags during automated feeding in intelligent bonding production lines while reducing equipment footprint, an automated feeding system was designed. Firstly, by analyzing overall adsorption limitations of the PE inner bag and comparing the performance of sponge suction tools placed horizontally versus vertically, a drag-and-drop feeding solution was proposed, accompanied by a gripping actuator designed to coordinate between the sponge suction tool and dual-sided auxiliary suction cups. Secondly, through experiments measuring drag force and adsorption point positioning during bag handling, the optimal pressing depth of the sponge suction tool and the optimal configuration of dual-side suction cups were determined. Thirdly, leveraging the friction-slip relationship between the PE bag and the feeding platform, the dimensions and lengths of the platform were optimized. Finally, the feeding experiment was conducted to verify the PE inner bag. The results show that the optimal sponge suction tool pressing depth is 10 mm, with the dual-sided suction cup configuration (x1=340 mm, x2=190 mm) significantly improving gripping stability and flatness. The 1 345 mm feeding platform reduces equipment footprint by 49.25% compared to conventional designs, achieving the structural goal of ″semi-suspended contact stability″. Across 200 repeated tests, the gripping success rate reaches 99%, with a 100% non-slip performance rate. These findings provide a robust and reliable solution for automated feeding of large-format flexible sheet materials, demonstrating significant engineering applicability.

Abstract:

Ten existing ignition techniques of boron (B) were classified into four categories: thermal radiation type, pressure shock type, thermal convection type and special excitation type. The advantages, disadvantages and applicable working conditions of each technique were compared and analyzed. The analysis reveals that all existing ignition methods have complementary strengths, and both physical high-temperature shock and chemical oxide layer stripping can realize effective ignition of B-based fuels. Current research has entered a stage of refined performance regulation, and the core bottleneck restricting technological development lies in the difficulty of simultaneously achieving high-precision testing and high-efficiency ignition. On this basis, the future development directions of B ignition experimental technologies are prospected. Follow-up systematic research can be carried out in multiple dimensions including upgrading diagnostic regulation technologies, developing multimodal composite ignition systems, improving ignition energy efficiency, conducting engineering verification under extreme working conditions, perfecting industrial test standards, and establishing an early warning mechanism for experimental safety. Sustained technological iteration and standardized system construction will accelerate the engineering application of B-based fuels and provide strong support for the development of aerospace and national defense power sectors.

Abstract:

为了提高小型随车起重机出厂起重性能测试的方便性和高效性。依照随车起重机自身的车载吊臂工作性能,设计了一种基于PLC控制的液压试验平台检测设备。根据随车起重机在工作中需要完成的动作和性能参数要求,设计了一套电-液控制系统,描述了液压试验平台结合多传感器实时采集数据与PLC进行RS485通信,并对液压系统中电磁阀电信号进行调控,以此检测随车起重机起重性能状况。结果表明:该液压试验台经对2 t和3.5 t小型随车起重机进行起重性能测试的结果符合厂家所设计的起重机性能参数范围。该套液压检测设备采用触摸屏进行人机交互,界面操作简单、系统运行平稳,既保证了性能检测的准确度,又可以有效缩短检测周期,提高了出厂性能检测的效率。

Abstract:

为了夯实近代童装文物复原研究的理论基础,以河北永清服装博物馆内一件大红色提花绸儿童夹袄为研究对象,对文物的纤维色彩、形制结构和面料组织结构进行深入研究。采用显微观察、红外光谱、紫外可见光谱、薄层色谱等方法对文物的纤维与染料进行检测鉴别,同时用平面接触式测量法获取文物数据,密度镜测量法分析面料组织,并对文物结构图和组织图进行复原。结果表式测量法获取文物数据,密度镜测量法分析面料组织,并对文物结构图和组织图进行复原。结果表明:该夹袄整体采用丝纤维制成,多为富贵儿童穿着;红色衣身为偶氮类染料染色,缘饰为靛系染料染色,说明近代已使用合成染料,且色泽艳丽;服装结构为盘扣缘饰(满族特色)和交领绑带(汉族特色)并用,为满汉融合背景下的特殊形制。研究结果可使近代童装的理论研究更加完善,为近代童装的复原研究提供方法和科学依据。

Abstract:

In order to analyze haze change regularity and the origin of the haze weather and provide technical support for its prevention, the correlation between the haze and meteorological condition and pollutants concentration are discussed based on the surface meteorological observation data and the pollutants concentration monitoring data from the step station of Shijiazhuang environmental monitoring center. It is proved that the haze days during the 1960s is minimal; the haze days rises sharply during the initial stages for reform and opening-up and the 1990s; the haze days obviously decreases after the 2000s.The haze occurs more frequently in autumn (20.5%) and winter (53.5%), and less in spring(15.2%) and summer(10.8%). Quiet wind, lower humidity and continuous no-rain days are the important causes of the haze. The mass concentration change regularity of SO₂, NO_<i>x, PM2.5 and PM10 (the correlation coefficients are 78.4%,70.9%,77.3% and 73.8%, respectively) is coherence with the haze days of Shijiazhuang City. Their mass concentration is obviously higher in haze days than in the normal days. Their mass concentration is highest in winter, lower in autumn and lowest in summer.

Abstract:

Antimony-doped tin dioxide is an excellent catalyst, which has good electrical conductivity and high temperature stability. The sol-gel method is used to prepare ATO nanopowders, and their structure characterization and performance analysis are also conducted. Stable tin and antimony citrate complexes solution is obtained from the starting materials metal tin and antimony trioxide. The solution undergoes sol-gel transformtion when acetonitrile is added dropwise. Antimony doped tin oxide nanoparticles are obtained with the washed gel heat-treated at different temperatures. The antimony doped tin oxide nanoparticles exhibit shrinking crystallite size, increasing specific surface area and tin oxide lattice parameters changing with the rise of antimony doping content. The crystalline size increases, while speciflc surface area decreases with the increase of annealing temperature. The particle crystallinity shows a decrease tendency for the high antimony doping level with increasing temperatures.

Abstract:

Po lymer nano par ticles as drug car rier sy st ems is a new kind o f drug deliver y sy stem. It is easy to get to site- specific throug h bio film bar rier fo r the nanoparticles. Po lymer nanopart icles hav e new characterist ics fo r multifo rmity of polymeric mater ial, so po lymer nano par ticles em ployed as drug carr iers hav e att racted attention. In this r ev iew , the tw o prepa rativ e methods for dispersio n of the pr eformed po lymer s and polymerization o f mo nomers are ex pounded, t he measur ing metho d of particles d-i ameter , modality, moleculer w eight, Zeta po tent ial and thermic perfo rmance are investig ated, and the applicatio ns are discussed. At last are the sug g estions o n development t rend fo r polymer nanoparticles as drug car rier

Abstract:

Po lyv inyl Alcoho l ( PVA) is w ater??soluble polymer , and no n??t ox ic t o human body. It has go od bio??compat ibility, so PVA develops rapidly in medical t reatment . Develo pment in the study o f PVA, including adv ance of PVA hydro??gel in eye, wo und dr essing s and art ificial car tilag e, and application o f PVA member in medicine and so o n are intro duced in det ail in t he re?? v iew

Abstract:

To provide a foundation for further study on Huanglianwendan decoction and its possible clinical applications,this paper reviewed the recent 10years'' literatures about its clinical studies, including those on treating psychosis, digestive system disease, decompensation disease, chronic renal failure disease, curdiovascular, and otorhinolaryngology disease.

Abstract:

This paper introduced the widespread use of acetonitrile as a good organic solvent and an important raw material in the field of chemical industry, medicine and so on, and gave a summary report about some direct and indirect synthesis methods in regard of the properties of acetonitrile. Then the potential application prospect and synthetic method of acetonitrile were put forward.

Abstract:

This article summarized the physical chemistry and biological treatment technologies of high salinity organic wastewater and introduced combined processes of biological and other treatments. Halophilic bacteria and salt-tolerant microzyme have wide practicability in the treatment of highsalinity wastewater.

Abstract:

This paper investigated the feasibility of detecting Sudan Red in foods with thin layer chromatography, and compared the result of Sudan Red separation with high-effect silica gel G plates (HPSGG) and the result of it with polyamide plates. It is found that HPSGG has more advantages over polyamide plates in separating Sudan Red. HPSGG gives high detection sensitivity, up to 0.3mg/ kg, fast analysis and clear separation. Polyamide plates needs 40minutes while high-effect silica gel G plates needs only 5～10minutes. The Sudan pigments and other interference pigments such as pepper pigments,can be completely separated. The method can be applied to rapidly detect Sudan Red illegally added in foods such as chilli products and hamburgers.

Abstract:

This paper summarized the methods of the measurement of total nitrogen, the measurement of total phosphorus and the combined measurement.It compared the merits and demerits of these methods and put forward the development trend of the measurement methods.

Abstract:

This paper introduced the production process and application of pentaerythritol and analyzed its market situation.Then the paper pointed out the problems unsettled and gave some advices.

Abstract:

The posterior distribution of traditional dynamic topic model requires complex reasoning process, and a small change in model assume will require re-deduction, meanwhile with high time cost, which restricts the variability and generality of the model. A dynamic topic model based on variational autoencoder fusing with dynamic factor graph for inference is proposed in order to improve the performance of dynamic topic model. The model makes a reparameterization trick to evidence lower bound to generate a lower estimator, and converts the hidden parameters to a group of auxiliary parameters, which makes new parameters not depend on variational parameters; standard stochastic gradient descent method can be available to variational objective function directly. At the same time, integrating the dynamic factor graph on modeling the state space model weakens the probabilistic of the model, simplifies the optimization process, and makes effective inference. The experimental results show that this model guarantees the accuracy, and the simplified model reduces the time cost effectively， which will provide more possibilities for dynamic topic model to be applied to complex time scenarios effectively.

Abstract:

Face recognition is a technique used for identify identity by analyzing face images and distilling effective recognition information from face images. This article presented an arithmetic of face recognition based on eigenfaces, gave the explaination of eigenface,and made a simulation of DRL face database by using program baced on OpenCV. This method recognizes and classifies face images by computing the space distance between face image and eigenfaces,and it can recognize face image quickly and exactly.

Abstract:

A br ief intro ductio n to DNP3. 0 ( Distr ibuted Netwo rk Pr oto co l 3. 0) is presented at this paper to gether w ith an explanation o f t he architecture and functio nality pr ovided by this prot ocol. An appr oach to implement the pr oto co l that ado pts the OOP and the VCL component techniques in the Delphi prog r amm ing envir onment is discussed

Abstract:

Based on sixsigma,the software process defects management model is established. The model combines the method of six sigma to provide effective solution for software process defects management. The model can get better quality and better customer satisfaction by optimizing the software development process, tracking adverse factors and eliminating defects.