Effects of β-Glucan Supplementation on Repairing of Phenol-Induced Vaginal Mucosal Epithelium Damage in Rats

Objective: To investigate the effects of different concentrations of β-glucan on the repair of damaged vaginal mucosa, the expression of vascular endothelial growth factor (VEGF), and the inflammatory factor-6 (IL-6) in vaginal tissues. Methods: Thirty-six adult female specific pathogen free (SPF)-grade Wistar rats were randomly divided into 3 phase groups with 12 rats each. Vaginal inflammation rat models were established by injecting phenol gel into the vagina of each rat at a dose of 0.1 ml/100g body weight. After modeling, rats were divided into 4 groups based on different concentrations of the test agent. The control group was injected with 0.5 ml of saline, experimental group A was injected with 0.375 ml saline 0.125 ml β-glucan, experimental group B was injected with 0.25 ml saline 0.25 ml β-glucan, and experimental group C was injected with 0.50 ml β-glucan. The injection sites were selected at the 3 o’clock and 9 o’clock positions of the vagina. Rats were sacrificed at 7-, 14-, and 28-days post-injection, and tissue samples were collected from the injection sites and prepared for histological analysis. New blood vessels and fibroblast numbers in the tissues were observed after Hematoxylin-eosin (HE) staining. The expression levels of VEGF and IL-6 in the tissues were measured using quantificational reverse transcription polymerase chain reaction (qRT-PCR). Results: Histological examination of vaginal tissue specimens at 7-, 14-, and 28-days post-injection showed that on day 7, there were no significant changes in the experimental groups compared to the control group. However, on days 14 and 28, the experimental groups showed more new blood vessels, macrophages, and fibroblasts with increased activity compared to the control group. The expression levels of VEGF in vaginal tissues were elevated on days 14 and 28 in the experimental groups. The comparison of IL-6 levels in vaginal tissues on day 28 showed that serum IL-6 levels returned to normal, and there was no statistically significant difference between the experimental and control groups. Conclusion: In the 3 experimental phases, the increase in VEGF levels in vaginal tissues on day 14 post-injection was more pronounced with higher concentrations of β-glucan, and IL-6 levels returned to normal on day 28. β-Glucan can enhance VEGF levels in damaged vaginal tissues, promote the repair of damaged vaginal tissues, and higher concentrations of β-glucan have a better effect.

Effects of Curcumin on Neuroinflammation and the Nrf2/HO-1 Pathway in Rat Brains Following Gas Explosion

Gas explosions,a major occupational hazard in China’s coal industry,endanger the lives and health of miners.These explosions cause a specific type of traumatic brain injury with complex mechanisms,leading to disability and death.A study by Zhao et al.using magnetic resonance imaging on 49 gas explosion survivors revealed significant damage to brain regions like the hippocampus and cerebral cortex.

A novel superconducting magnetic levitation method to support the laser fusion capsule by using permanent magnets

A novel magnetic levitation support method is proposed, which can relieve the perturbation caused by traditional support methods andprovide more accurate position control of the capsule. This method can keep the perfect symmetry of the octahedral spherical hohlraum and hasthe characteristics in stability, tunability and simplicity. It is also favorable that all the results, such as supporting forces acting on the super-conducting capsule, are calculated analytically, and numerical simulations are performed to verify these results. A typical realistic design isproposed and discussed in detail. The superconducting coating material is suggested, and the required superconducting properties are listed.Damped oscillation of the floating capsule in thin helium gas is discussed, and the restoring time is estimated.

Bridge Girder Crack Assessment Using Faster RCNN Inception V2 and Infrared Thermography

Manual inspections of infrastructures such as highway bridge, pavement, dam, and multistoried garage ceiling are time consuming, sometimes can be life threatening, and costly. An automated computerized system can reduce time, faulty inspection, and cost of inspection. In this study, we developed a computer model using deep learning Convolution Neural Network (CNN), which can be used to automatically detect the crack and non-crack type structure. The goal of this research is to allow application of state-of-the-art deep neural network and Unmanned Aerial Vehicle (UAV) technologies for highway bridge girder inspection. As a pilot study of implementing deep learning in Bridge Girder, we study the recognition, length, and location of crack in the structure of the UTC campus old garage concrete ceiling slab. A total of 2086 images of crack and non-crack were taken from UTC Old Library parking garage ceiling using handheld mobile phone and drone. After training the model shows 98% accuracy with crack and non-crack types of structures.

Big data-enabled multiscale serviceability analysis for aging bridges

This work is dedicated to constructing a multi-scale structural health monitoring system to monitor and evaluate the serviceability of bridges based on the Hadoop Ecosystem （MS-SHM-Hadoop）. By taking the advantages of the fault-tolerant distributed file system called the Hadoop Distributed File System （HDFS） and high-performance parallel data processing engine called MapReduce programming paradigm, MS- SHM-Hadoop features include high scalability and robustness in data ingestion, fusion, processing, retrieval, and analytics. MS-SHM-Hadoop is a multi-scale reliability analysis framework, which ranges from nationwide bridge-surveys, global structural integrity analysis, and structural component reliability analysis. This Nationwide bridge survey uses deep-learning techniques to evaluate the bridge service- ability according to real-time sensory data or archived bridge-related data such as traffic status, weather conditions and bridge structural configuration. The global structural integrity analysis of a targeted bridge is made by processing and analyzing the measured vibration signals incurred by external loads such as wind and traffic flow. Component-wise reliability analysis is also enabled by the deep learning technique, where the input data is derived from the measured structural load effects, hyper-spectral images, and moisture measurement of the structural components. As one of its major contributions, this work employs a Bayesian network to formulate the integral serviceability of a bridge according to its components serviceability and inter-component correlations. Here the inter-component correlations are jointly specified using a statistics-oriented machine learning method （e.g., association rule learning） or structural mechanics modeling and simulation.

Online Detection of Network Traffic Anomalies Using Degree Distributions

Diagnosing traffic anomalies rapidly and accurately is critical to the efficient operation of large computer networks. However, it is still a challenge for network administrators. One problem is that the amount of traffic data does not allow real-time analysis of details. Another problem is that some generic detection metrics possess lower capabilities on diagnosing anomalies. To overcome these problems, we propose a system model with an explicit algorithm to perform on-line traffic analysis. In this scheme, we first make use of degree distributions to effectively profile traffic features, and then use the entropy to determine and report changes of degree distributions, which changes of entropy values can accurately differentiate a massive network event, normal or anomalous by adaptive threshold. Evaluations of this scheme demonstrate that it is feasible and efficient for on-line anomaly detection in practice via simulations, using traffic trace collected at high-speed link.

母猪发情行为变化过程与最佳人工授精(AI)时间

从激素生理调控机制说明和理解母猪发情行为变化。抓住头次静立,确定输精时间是人工授精成功的关键。

Three-dimensional finite element study of anterior transpedicular screw-artificial vertebral fixation in lower cervical spine

Objective Biomechanical properties of the anterior cervical pedicle screw artificial vertebral system and conventional anterior screw plate system were analyzed in lower cervical spine by finite element.Methods CT images were obtained from a 38-year-old female volunteer.Following models were established and analyzed by Mimics14.0,Geomagic Studio 2013,ANSYS 14.0 software:the intact cervical model(C3-C7),corpectomy of C5 model,the model of conventional anterior screw plate system fixation(AP),and the model of anterior transpedicular screw artificial vertebral body sys-

Thickness dependence of microstructure and properties in Be2C coatings as a promising ablation material

Beryllium carbide(Be2C)thin films have proven to be promising ablation materials,but the properties of Be2C coatings of the greater thickness required for inertial confinement fusion capsules are still unknown.In this work,Be2Ccoatings of various thicknesses(0.3–32.9μm)are prepared byDC reactive magnetron sputtering.The influence of thickness on crystal properties,microstructure,and optical properties is investigated.The results indicate that the crystallinity of polycrystalline Be2C films improves with increasing thickness,while the grain size(∼5 nm)and texture properties(without a preferred orientation)have only a weak dependence on thickness.Auniform featureless microstructure and smooth surface(root mean square roughness∼8 nm)are observed even in thick(32.9μm)films,despite the presence of defects induced by contaminants.High densities(2.19–2.31 g/cm3)and high deposition rates(∼270 nm/h)are realized,with the latter corresponding to the upper limit for the fabrication of Be2Ccoatings by magnetron sputtering.The transmittance of the films in the near-infrared region remains at a high level(>80%)and has only a weak dependence on thickness,while the transmittance in the visible region decreases with increasing thickness.In addition,the optical bandgap is estimated to be about 1.9 eV and decreases with increasing thickness owing to the presence of defects.

Olfactory schwannoma:a case report

Objective Intracranial schwannomas are frequently located in the VIII cranial nerve, followed by the V and VII cranial nerves, but are quite rare in the olfactory cranial nerves. Here, we report a case of an olfactory schwannoma and review the literature to improve the diagnosis and treatment of olfactory schwannoma. Methods We report a case of olfactory schwannoma in a 51-year-old Chinese man who experienced dizziness and no other symptoms.Results Magnetic resonance imaging(MRI) showed a neoplastic mass located on the anterior cranial base to the right of the midline and near the cribriform plate and sphenoidal plane. The lesion travelled through the cribriform plate into the nasal cavity. This mass was initially thought to be an olfactory groove meningioma. We performed a craniotomy for surgical excision, and the tumor was completely resected, and the skull base was reconstructed at the same time. There were no complications during surgery, and the patient recovered well. The histopathological diagnosis was a schwannoma.Conclusion Olfactory schwannomas are extremely rare and similar to olfactory ensheating cell tumors, and the immunohistochemical staining of leukocyte antigen 7(Leu7/CD57) can be used to identify them. Although the standard treatment of olfactory schwannoma remains unclear, in all reports, most patients can have excellent prognosis after an effective surgical resection.

Metastatic intracranial large-cell neuroendocrine carcinoma:a study of two cases

Objective The occurrence of large-cell neuroendocrine carcinoma(LCNEC), a kind of neuroendocrine tumor(NET), in the cranium is extremely rare. Here we report two such cases and review the literature in order to improve the diagnosis and treatment of intracranial LCNEC.Methods We report two cases of metastatic intracranial LCNEC. In case 1, the patient was diagnosed with lung carcinoma and underwent chemotherapy. Brain metastases were found six months later. The lung and intracranial lesions in case 2 were found at the same time. Results Intracranial multiple-tumor resection was performed in case 1 and the patient died 2 months later. Case 2 patient underwent surgery followed by chemotherapy with etoposide and carboplatin. Six months postoperatively, a recurrence lesion was found in the left cerebellar hemisphere. The patient was treated surgically. At present, a year after the diagnosis, the patient is still alive.Conclusion NETs of the intracranial region are extremely rare, and hence, most of our knowledge is based on lung NETs, and standard treatment strategies for intracranial NETs remain unclear. Our patients had different survival times probably due to different treatments, indicating that effective surgical resection and subsequent multi-agent chemotherapy should be administered to promote long-term survival of intracranial LCNEC patients.

Electronic and Optical Properties of Rocksalt CdO: A first-Principles Density-Functional Theory Study

The structural, electronic and optical properties of rocksalt CdO have been studied using the plane-wave-based pseudo-potential density functional theory within generalized gradient approximation. The calculated lattice parameters are in agreement with previous experimental work. The band structure, density of states, and Mulliken charge population are obtained, which indicates that rocksalt CdO having the properties of a halfmetal due to an indirect band gap of -0.51eV. The mechanical properties show that rocksalt CdO is mechanically stable, isotropic and malleable. Significantly, we propose a correct value for ε1(0) of about 4.75, which offers theoretical data for the design and application for rocksalt CdO in optoelectronic materials.

A Real-Time Measurement Algorithm for Available Bandwidth

Available bandwidth estimation is useful for route selection in overlay networks, QoS, and traffic engineer-ing. Many measurement algorithms, such as Pathload, Pathchar, and Packet Transmission Rate (PTR) method, etc. have been proposed. PTR method sends a sequence of packet trains to characterize the interac-tion between probing packets and the competing traffic, and uses the average rate of the packet train as an estimate of the available bandwidth. However, this PTR algorithm does not fully consider the situation that the detection packets lost themselves. This paper improves the original PTR algorithm which considers the specialty of the burst of the network background flow. The improved PTR algorithm uses the method to match the initial gap value and gap step value to solve the problem about the burst of background flow, and the improved PTR algorithm record and control the number of packets with source and destination to solve the lost of some packets. Finally, theory and experiments, verified by the improved algorithm of PTR, can reflect the changes of the network stably and timely under the circumstance of the network fluctuates fre-quently. It improves the accuracy of a network measurement and makes the measurement results, which can reflect the changes of the network more clearly.

Controllable Growth of Ni Nanocrystals Embedded in BaTiO₃/SrTiO₃Superlattices

BaTiO3/SrTiO3 superlattices with embedded Ni nanocrystals (NCs) have been grown on SrTiO3 (001) substrate using laser molecular beam epitaxy (L-MBE). In situ reflection high-energy electron diffraction (RHEED) was employed to investigate the process of lattice strain in the self-organization of Ni NCs and the epitaxial growth of BaTiO3/SrTiO3 superlattices. The results indicated that the strain from large lattice mismatch drove the self-organization of Ni NCs. Also, the layer-by-layer growth of BaTiO3/SrTiO3 superlattices Keywords: Nanocrystal;Superlattices;Self-organization 1. Introduction Oxide artificial superlattices, especially (001) oriented BaTiOsuperlattices and the island growth of Ni NCs were controllable ac-curately. The fine alternation of the two processes would provide a possible route to engineer controllably the nano-composite microstructure.

Creating a Dataset to Boost Civil Engineering Deep Learning Research and Application

With cutting edge deep learning breakthrough,numerous innovations in many fields including civil engineering are stimulated.However,a fundamental issue that civil engineering research community currently facing is lack of a publicly available,free,quality-controlled and human-annotated large dataset that supports and drives civil engineering deep learning research and applications on such as intelligent transportation including connected vehicle,structural health monitoring,and bridge inspection.This paper is a general discussion about demanding needs and construction of a long-anticipated dataset for researchers and engineers in civil engineering and beyond for providing critical training,testing and benchmarking data.The establishment of such a free dataset will remove a major hurdle and boost deep learning research in civil engineering and we hope this work will urge researchers,engineers,government agencies and even computer scientists to work together to start building such datasets.A framework has been developed for the proposed database.Also,some pilot study databases were developed for concrete crack detection,pavement crack detection using normal and infrared thermography,as well as pedestrian and bicyclist detection.A convolution neural network model called Faster RCNN was deployed to check the detection accuracy and a 98%detection accuracy of the proposed datasets was obtained.

耻脐入路单孔腹腔镜后鞘后技术在脐疝修补术中的应用

目的探讨耻脐入路单孔腹腔镜后鞘后修补术治疗脐疝的临床应用价值。方法回顾性研究2021年6月至2023年8月,上海中医药大学附属普陀医院微创外科收治的18例实施耻脐入路单孔腹腔镜后鞘后疝修补术的脐疝患者,根据临床病例资料、手术操作的技术细节及术后随访情况,分析该术式的临床效果及获益。结果18例患者均顺利完成手术,无中转开放手术,平均手术时间(106.67±28.49)min,术后6~8 h下床活动,术后8、24 h视觉模拟评分分别为2.94、2.50分,术后平均住院时间为(2.02±0.63)d;术后均无出血、肠梗阻、肠瘘、脐部坏死等严重并发症;随访时间为3~28个月,随访率100%,无复发。结论耻脐入路行单孔腹腔镜下后鞘后脐疝修补术安全可行,隐瘢痕效果好,术后疼痛轻,恢复快,可作为腹腔镜下脐疝修补的一种选择术式。

后鞘后单孔腹腔镜腹股沟疝修补术中完全可视化建腔技术的应用

目的:总结完全可视化建腔技术应用于后鞘后入路单孔腹腔镜腹股沟疝完全腹膜外修补术(single incision laparoscopic totally extraperitoneal hernia repair,SIL-TEP)的初步经验和操作要点。方法:回顾性分析2023年1月至2023年4月施行的30例经脐后鞘后入路SIL-TEP患者的临床资料。结果:术中建腔时发生腹膜破损1例(3.3%),术中出血量(9.50±2.40) ml。手术时间单侧平均(61.04±15.11) min,双侧平均(80.83±16.25) min。切皮到装置置入时间平均(120.77±17.16)s,进入鞘后空间时间平均(249.67±66.71)s。术后24 h疼痛视觉模拟评分平均(2.57±0.73)分,48 h平均(1.97±0.56)分。术后脐部切口感染1例(3.3%),尿潴留1例(3.3%),血清肿3例(10%),皮下瘀血1例(3.3%),术后随访均未发现慢性疼痛、补片感染及疝复发。结论:完全可视化建腔技术视野清晰,解剖层次明确,腹膜破损率低,有效降低手术难度,可常规应用于后鞘后SIL-TEP。

A Tuberculosis Outbreak at a School-Xinjiang Uygur Autonomous Region, China, 2019

Summary What is already known about this topic?Worldwide,tuberculosis(TB)continues to be the most important cause of death from a single infectious agent,and China has a high TB burden.Although the reported incidence of TB in students is lower than that in general population,TB outbreaks in schools have continuously been reported in the past years,suggesting that schools are a high-risk setting for TB transmission.

Terahertz synthetic aperture in-line holography with intensity correction and sparsity autofocusing reconstruction

We demonstrate high-resolution and high-quality terahertz(THz)in-line digital holography based on the synthetic aperture method.The setup is built on a self-developed THz quantum cascade laser,and a lateral resolution better than 70μm(~λ)is achieved at 4.3 THz.To correct intensity differences between sub-holograms before aperture stitching,a practical algorithm with global optimization is proposed.To address the twin-image problem for in-line holography,a sparsity-based phase retrieval algorithm is applied to perform the high-quality reconstruction.Furthermore,a new autofocusing criterion termed"reconstruction objective function"is introduced to obtain the best in-focus reconstruction distance,so the autofocusing procedure and the reconstruction are unified within the same framework.Both simulation and experiment prove its accuracy and robustness.Note that all the methods proposed here can be applied to other wavebands as well.We demonstrate the success of this THz synthetic aperture in-line holography on biological and semiconductor samples,showing its potential applications in bioimaging and materials analysis.

太赫兹光热电探测方法研究进展

太赫兹波拥有独特的物理特性,在安检成像、通信、无损检测和生物医学等许多领域具有广阔的应用前景.在太赫兹探测系统中,太赫兹探测器是直接影响系统性能的核心器件之一.目前,室温太赫兹探测方法主要分为电子学方法和光热探测方法两类.受制于器件的截止频率,电子学方法难以应用于中高频段太赫兹探测;受制于器件较慢的响应速度,光热效应方法通常难以应用于高速太赫兹探测.光热电探测方法是最近十几年发展的光探测方法,2014年之后成为太赫兹探测领域的研究热点.相较于电子学方法和传统的光热探测方法,光热电探测方法具有大带宽、零偏压、高速、室温工作等明显优势,非常具有竞争力.本文综述了太赫兹光热电探测技术的最新研究进展,阐述了光热电效应的基本原理和光热电太赫兹探测器的主要性能参数,在此基础上分析总结了太赫兹光热电探测器主要实现方法和研究现状,并对其未来发展方向进行了展望.