“Yama Ribbons & Bows” Succeeds in “Double Anti-” Investigation

U.S. Department of Commerce’s final ruling finally made one-year long "double anti-" investigation (anti-dumping and anti-subsidy) in the made-in-China narrow ribbons come to a settlement on July 13th Washington time.

过表达AtCBF4、BoWS大豆对干旱胁迫的响应

本研究利用农杆菌介导法获得的过表达At CBF4基因、过表达Bo WS基因大豆株系的后代,研究其在干旱胁迫下转基因大豆生理特性、光合性状以及产量性状的表现,以揭示其转基因大豆耐旱性特点。研究结果表明:过表达CBF4基因株系在丙二醛、气孔导度、细胞CO2浓度、蒸腾速率,单株荚数、单株粒数上表现优于过表达Bo WS基因大豆株系;过表达Bo WS基因大豆株系在脯氨酸、可溶性糖、净光合速率、瞬时水分利用率、株高、节数、百粒重、单株产量以及结荚期单株荚数和单株粒数上耐旱性更强。研究结果表明通过灰色关联分析以及聚类分析表明过表达Bo WS基因大豆株系比过表达At CBF4基因株系具有更强的耐旱性。

Unusual Brain Trauma Injury

Unusual head trauma is rare with various mechanisms of occurrence. The injuries can be similar to those of road accidents but sometimes with significant complexities. The objective was to determine the frequency of this pathology in our practice, describe the different mechanisms and report the craniocerebral lesions caused by this type of trauma. Materials and Method: This was a descriptive study with retrospective collection spread over a period of 3 years. After selecting the files, the patients and/or their companions were contacted by telephone to inquire about them and then returned to the consultation for reassessment. Disease history and information were obtained from patients’ medical records. Result: The frequency of this pathology was 1.78% and his incidence was 0.4 cases per month. The average age of the patients was 13.47 years. All the victims were male. 41.17% of patients were in school. The mechanisms of trauma were the hoof blow 47.1%, the horn blow 29.4% and the stone blow 11.7% respectively. 23.5% of patients were confused and 11.7% children were in coma. One patient presented an anisocoria. The motor deficit was present in 5 cases. CT-scan made it possible to highlight a skull depressing fracture 58.8% and confirm a craniocerebral wound in 35.3%. The average time between patient admission to hospital and completion of surgery was 24.5 hours. The surgery had consisted of the trimming of cranio-cerebral wounds, exploration, duroplasty and lifting of skull depressing fracture. After 15 months of follow-up, the evolution was favorable in 53.3%, the morbidity was 33.4% and the mortality 17.6%. Conclusion: These are rare but serious conditions because they are fatal and disabling. An early and multidisciplinary management can hope to have a good favorable.

Experimental and numerical analysis on suitability of S-Glass-Carbon fiber reinforced polymer composites for submarine hull

Suitability of S-Glass/carbon fiber reinforced polymer composite for submarine hull subjected to hydrostatic pressure has been investigated in the present study.Metallic materials have raised concerns owing to their decomposition due to low resistance towards salinity and hence polymer composites have been explored to showcase their mechanical stability to withstand transverse and impact loads.To this end,the mechanical properties of S-Glass/carbon fiber reinforced polymer composite were experimentally investigated and higher specific strength and stiffness of the composite in comparison to many metallic materials used for submarine hull were reported.The obtained experimental values were used for the static and dynamic crash analysis of the bow,stern and foil through Finite Element Analysis(FEA);where depth of travel was varied from sea surface level of 0-7000 m.Submarine assembly was later developed with the optimum shape and thickness of each part.We also report the nonlinear crash analysis upon impact at velocity ranging from 3 to 21 m/s.Besides,kinetic energy,acceleration peak and internal energy in struck submarine revealed that travel depth 1750 m and 3500 m is recommendable,more particularly,crash safety factor of the submarine is found to be within limit when submarine encounters crash at 1750 m.

The Mars orbiter magnetometer of Tianwen-1:in-flight performance and first science results

The Mars Orbiter MAGnetometer(MOMAG)is a scientific instrument onboard the orbiter of China’s first mission for Mars—Tianwen-1.Since November 13,2021,it has been recording magnetic field data from the solar wind to the magnetic pile-up region surrounding Mars.Here we present its in-flight performance and first science results,based on its first one and one-half months’data.Comparing these early MOMAG observations to the magnetic field data in the solar wind from NASA’s Mars Atmosphere and Volatile EvolutioN(MAVEN)mission,we report that the MOMAG magnetic field data are at the same level in magnitude,and describe the same magnetic structures with similar variations in three components.We recognize 158 clear bow shock(BS)crossings in these MOMAG data;their locations match well statistically with the modeled average BS.We also identify and compare five pairs of datasets collected when Tianwen-1’s orbiter and the MAVEN probe made simultaneous BS crossings.These BS crossings confirm the global shape of modeled BS,as well as the south-north asymmetry of the Martian BS.Two cases presented in this paper suggest that the BS is probably more dynamic at flank than near the nose.So far,MOMAG performs well,and provides accurate magnetic field vectors.MOMAG is continuously scanning the magnetic field surrounding Mars.Data from MOMAG’s measurements complement data from MAVEN and will undoubt edly advance our understanding of the plasma environment of Mars.

一种新型多用途污染控制船的研发及其球鼻艏的优化

Controlling marine pollution caused by hydrocarbons spilling from oil tanker accidents and oil rigs is urgently needed.Conventional pollution control vessels currently in service worldwide do not meet certain safety criteria,storage capacities,and response times owing to their technical shortcomings.This study proposes a new concept of multimission and autonomous antipollution vessels capable of acting quickly and efficiently to counter such pollution threats.The objective of this study is to carry out a total and rapid recovery of the spilled oil slick in complete safety.Hence,optimizing the bulbous bow adapted to the pollution control vessel during its displacement is necessary to horizontally straighten the accompanying waves formed around the hull and to laminate the flow upstream of the side openings for the recovery of spilled oil.This optimization improves the nautical qualities specific to this ship to reduce the total resistance to progress and to standardize the flow upstream of the side openings to allow the collection of spilled oil at high speed.This optimization study can open a field of application for the construction of modern multi-mission pollution control vessels.Tests in hull basins will be planned to validate and adjust the results obtained from the simulations.

Surgical strategy of the treatment of atypical femoral fractures

The atypical femoral fracture(AFF)has been attracting significant attention because of its increasing incidence;additionally,its treatment is challenging from biological and mechanical aspects.Although surgery is often required to manage complete AFFs,clear guidelines for the surgical treatment of AFFs are currently sparse.We reviewed and described the surgical treatment of AFFs and the surveillance of the contralateral femur.For complete AFFs,cephalomedullary intramedullary nailing spanning the entire length of the femur can be used.Various surgical techniques to overcome the femoral bowing common in AFFs include a lateral entry point,external rotation of the nail,and the use of a nail with a small radius of curvature,or a contralateral nail.In the case of a narrow medullary canal,severe femoral bowing,or pre-existing implants,plate fixation may be considered as an alternative.For incomplete AFFs,prophylactic fixation depends on several risk factors,such as a subtrochanteric location,presence of a radiolucent line,functional pain,and condition of the contralateral femur;the same surgical principles as those in complete AFFs can be applied.Finally,once AFF is diagnosed,clinicians should recognize the increased risk of contralateral AFFs,and close surveillance of the contralateral femur is recommended.

Atypical case of bow hunter’s syndrome linked to aberrantly coursing vertebral artery: A case report

BACKGROUND In bow hunter’s syndrome(BHS),also known as rotational vertebral artery(VA)syndrome,there is dynamic/rotational compression of the VA producing verte-brobasilar insufficiency.Most occurrences involve atlantoaxial rather than mid-cervical VA compromise,the latter being rarely reported.Herein,we detail successful VA decompression at mid-cervical spine,given a departure from its usual course.CASE SUMMARY The patient,a 45-year-old man,presented to our hospital with occipital headache and vertigo.Computed tomography angiography showed anomalous C4 entry of right VA,with compression upon head rotation to that side.Thyroid cartilage and anterior tubercle of C5 transverse process were visibly at fault.We opted for sur-gery,using an anterior cervical approach to remove the anterior tubercle.Patient recovery was uneventful and brought resolution of all preoperative symptoms.CONCLUSION BHS is an important consideration where aberrant coursing of VA and neurologic symptoms coexist.

Deep Learning-Based Digital Image Forgery Detection Using Transfer Learning

Deep learning is considered one of the most efficient and reliable methods through which the legitimacy of a digital image can be verified.In the current cyber world where deepfakes have shaken the global community,confirming the legitimacy of a digital image is of great importance.With the advancements made in deep learning techniques,now we can efficiently train and develop state-of-the-art digital image forensic models.The most traditional and widely used method by researchers is convolution neural networks(CNN)for verification of image authenticity but it consumes a considerable number of resources and requires a large dataset for training.Therefore,in this study,a transfer learning based deep learning technique for image forgery detection is proposed.The proposed methodology consists of three modules namely;preprocessing module,convolutional module,and the classification module.By using our proposed technique,the training time is drastically reduced by utilizing the pre-trained weights.The performance of the proposed technique is evaluated by using benchmark datasets,i.e.,BOW and BOSSBase that detect five forensic types which include JPEG compression,contrast enhancement(CE),median filtering(MF),additive Gaussian noise,and resampling.We evaluated the performance of our proposed technique by conducting various experiments and case scenarios and achieved an accuracy of 99.92%.The results show the superiority of the proposed system.

ICP刻蚀硅形貌控制研究

硅的刻蚀形貌控制是MEMS器件加工中的关键技术之一,形貌控制是硅表面刻蚀和钝化反应取得平衡的结果,任何影响刻蚀和钝化反应的因素都会影响到刻蚀形貌。采用中科院微电子研发中心研制的基于化学平衡原理的ICP-98A等离子刻蚀机,对ICP刻蚀当中影响形貌的关键工艺参数进行了研究和分析,研究了源功率RF1、射频功率RF2及气体(SF6和C4F8)比例对刻蚀形貌的影响,分析了bow ing现象产生机制,并给出了降低这种现象的工艺方法。该研究对提高硅的ICP刻蚀形貌控制具有重要的指导意义。

基于模糊Bow-tie模型的城镇燃气管道泄漏定量风险评价

燃气管道事故一旦发生后果大多比较严重。为全面分析燃气管道风险的前因后果,确定重点维护和监控的管段区域,引入了Bow-tie模型,将管道泄漏的故障树与事件树统一到一起对燃气管道进行定量风险评价。采用模糊集相关理论与专家评价相结合的方法得出管道泄漏的模糊可能值;然后基于模糊层次分析法确定管道泄漏后果因素的权重系数;再通过矩阵乘法求得泄漏后果值。以某段燃气管线为案例,全面识别出各风险因素,量化得到管道各泄漏后果事件的风险值。实际应用结果表明:①该方法可快速合理地评判出管道系统的相对风险大小;②三角模糊数与层次分析法的应用减少了传统评价中主观及模糊因素产生的评价偏差,使得评价结果更接近客观实际;③依据评价结果制订有针对性的预防维护措施,能够实现有限维护资源的合理配置,保障燃气管道的安全可靠运行。

Flow Field Improvement by Bowed Stator Stages in a Compressor with Different Axial Gaps Under Near Stall Condition

The outlet flow fields of a low-speed repeating-stage compressor with bowed stator stages are measured with five-hole probe under the near stall condition when the rotor/stator axial gap varies. The performances of the straight stator stages are investigated and compared to those of the bowed stator stages. The results show that using bowed stator stages could alleviate the flow separation at both upper and low corners of the suction surface and the endwalls, and decrease the losses along the flow passage as well as the outlet flow angle. As the rotor/stator axial gap decreases, although the diffusion capacity of the compressor increases obviously, the outlet flow field in the straight stator stages deteriorates quickly. By contrast, little changes occur in the bowed stator stages, indicating that as the rotor/stator axial gap decreases, improved performance is achieved in the bowed stator stages.

特征点显著性约束的图像检索方法

图像检索的Bag of Words体系存在量化后的视觉词影响局部特征的辨别能力并且缺乏特征之间空间关系的缺点,影响检索效率。针对复杂背景的目标查询,提出了融合显著性信息的图像检索方法和基于显著特征点空间距离比的后验证方法。首先,提取图像显著目标区域,使用空间金字塔模型进行图像检索。然后,利用查询图像与检索图像匹配的显著特征对,计算任意两对显著特征点的距离比,保留满足阈值的比值,并求和,用以重新排序结果图像,得到最终的检索结果。实验结果表明:该方法显著提高了检索的精确度,并减少了几何验证过程的运算时间。

基于改进稀疏编码模型的图像分类算法

针对图像表示,提出了一种基于改进稀疏编码模型的图像分类算法.首先,提取表示图像视觉局部特征的SIFT(Scale-Invariant Feature Transform)描述子;然后,利用稀疏编码方法生成基于SIFT描述子的视觉词汇库,将SIFT描述子编成稀疏向量;通过有效稀疏向量的区域融合和空间结合而获取整体的稀疏向量并用于图像表示;最后,采用随机森林多分类器对稀疏向量进行训练和测试.结果表明,与现有的算法相比,该算法的性能更佳,可以有效表示图像的特性并提高其分类的准确率.

一种基于2D和3D SIFT特征级融合的一般物体识别算法

如何选择合适的特征表示一般物体类间差异和类内共性至关重要,因此,本文在2D SIFT(Scale Invariant Feature Transform,SIFT)的基础上,提出了基于点云模型的3D SIFT特征描述子,进而提出一种基于2D和3D SIFT特征级融合的一般物体识别算法.分别提取物体2维图像和3维点云的2D和3D SIFT特征描述子,利用"词袋"(Bag of Words,Bo W)模型得到物体特征向量,根据特征级融合将两个特征向量进行融合实现物体描述,运用有监督分类器支持向量机(Support Vector Machine,SVM)实现分类识别,给出最终识别结果.最后,实验验证了本文提出算法的好处.

基于词袋模型的关联数据融合算法改进研究

词袋模型是一种最原始且普遍适用的关联数据融合算法,但是该算法中关键词匹配未利用自身语义以及语料库不足等现象,造成实体链接准确率不高。本文提出使用知识库作为背景,利用语义扩展和循环迭代来增强实体消歧的速度和准确率。该算法分为两个过程,首先对关联数据集进行初步的语义融合,然后在此基础上,利用本文提出的语义循环迭代词袋(s-i-Bo W)算法实现实体的消歧与链接。实验通过与基于传统词袋算法的关联数据融合进行了对比,证明了本文提出的语义循环迭代词袋算法具备更优的关联数据融合效果。

基于改进BOW模型的图像分类技术

针对传统BOW(Bag of Words)模型用于场景图像分类时的不足,通过引入关联规则的MFI(Maximum Frequent Itemsets)和Topology模型对其进行改进。为了突出同类图像的视觉单词,提取同类图像的MFI后,对其中频繁出现的视觉单词进行加权处理,增强同类图像的共有特征。同时,为了提高视觉词典的生成效率,利用Topology模型对原始模型进行分工并行处理。通过COREL和Caltech-256图像库的实验,证明改进后的模型提高了对场景图像的分类性能,并验证了其Topology模型的有效性和可行性。

Bow-tie分析在水煤浆气化工艺中的应用

水煤浆气化工艺开发到现在已经有30多年的历史。由于该工艺是在高温高压操作条件下，在炉内发生激烈的氧化还原反应，生成的水煤气属于易燃、易爆的气体，具有极高的危险性。近年来，我国连续发生了多起水煤浆气化工艺生产事故，如2006年8月21日，某公司水煤浆气化炉入口煤浆管线闪爆起火事故；2008年2月13日，某公司水煤浆气化装置煤浆管道爆炸事故。因此，如何保证水煤浆气化工艺的安全平稳运行成为一个迫在眉睫的问题。

Human Action Recognition Based on Dense Trajectories Analysis and Random Forest

This paper presents a human action recognition method. It analyzes the spatio-temporal grids along the dense trajectories and generates the histogram of oriented gradients （HOG） and histogram of optical flow （HOF） to describe the appearance and motion of the human object. Then, HOG combined with HOF is converted to bag-of-words （BoWs） by the vocabulary tree. Finally, it applies random forest to recognize the type of human action. In the experiments, KTH database and URADL database are tested for the performance evaluation. Comparing with the other approaches, we show that our approach has a better performance for the action videos with high inter-class and low inter-class variabilities.

基于多项式朴素贝叶斯的文本分类及应用研究

在信息数据爆炸式增长的今天,各类信息如潮水般呈现在人们面前,利用文本分类技术可以高效、准确地找到人们需要的有关分类信息,为进一步开展数据挖掘和分析奠定基础。文章的标题、摘要是内容的高度概括,针对这些短文本进行分类则成为自动文本分类的研究方向。基于互联网信息平台各类信息数据,文章分别采用Bow和TF-IDF等技术方法进行文本向量化,构建多项式朴素贝叶斯模型对训练集数据进行训练,并对比研究测试集预测结果,实现短文本自动文本分类,为实现快速获取某类信息热点提供参考。