A chaotic hierarchical encryption/watermark embedding scheme for multi-medical images based on row-column confusion and closed-loop bi-directional diffusion

Security during remote transmission has been an important concern for researchers in recent years.In this paper,a hierarchical encryption multi-image encryption scheme for people with different security levels is designed,and a multiimage encryption(MIE)algorithm with row and column confusion and closed-loop bi-directional diffusion is adopted in the paper.While ensuring secure communication of medical image information,people with different security levels have different levels of decryption keys,and differentiated visual effects can be obtained by using the strong sensitivity of chaotic keys.The highest security level can obtain decrypted images without watermarks,and at the same time,patient information and copyright attribution can be verified by obtaining watermark images.The experimental results show that the scheme is sufficiently secure as an MIE scheme with visualized differences and the encryption and decryption efficiency is significantly improved compared to other works.

Candidate Expansion Algorithm Based on WeightedSyllable Confusion Matrix for Mandarin LVCSR

The inclusion of more potentially correct words in the candidate sets is important to improve the accuracy of Large Vocabulary Continuous Speech Recognition （LVCSR）. A candidate expansion algorithm based on the Weighted Syllable Confusion Matrix （WSCM） is proposed. First, WSCM is derived from a confusion network. Then, the reeognised candidates in the confusion network is used to conjeeture the most likely correct words based on WSCM, after which, the conjectured words are combined with the recognised candidates to produce an expanded candidate set. Finally, a combined model having mutual information and a trigram language model is used to rerank the candidates. The experiments on Mandarin film data show that an improvement of 9.57% in the character correction rate is obtained over the initial recognition performance on those light erroneous utterances.

Confusion of Life in The Catcher in the Rye:Viewed From Holden's Inner World

The Catcher in the Rye is a novel published in 1951.Since its publication,it has been listed as one of the world greatest masterpieces.The story in the novel deals with a rebellious teenage schoolboy Holden and his quixotic experiences in New York,taking place in December.Through the tone of a middle schoolboy,the author shows the deepest confusion of teenagers during 1950 s in their lives.It also exposes a clearer understanding of adolescents' particular psychology.This article gives a discussion of Holden's confusion of life viewed from his inner world.

Text retrieval algorithm that decreases confusion

To overcome the problem that the confusion between texts limits the precision in text re- trieval, a new text retrieval algorithm that decrease confusion （DCTR） is proposed. The algorithm constructs the searching template to represent the user＇ s searching intention through positive and negative training. By using the prior probabilities in the template, the supported probability and anti- supported probability of each text in the text library can be estimated for discrimination. The search- ing result can be ranked according to similarities between retrieved texts and the template. The com- plexity of DCTR is close to term frequency and mversed document frequency （TF-IDF）. Its distin- guishing ability to confusable texts could be advanced and the performance of the result would be im- proved with increasing of training times.

Meige Syndrome: An Eternal Diagnostic Confusion

Meige syndrome is an idiopathic dystonia characterized by combination of blepharospasm and involuntary movements of the lower facial and/or masticatory (jaw) muscles. The condition is rare and has a variety of clinical presentations which often lead to its misdiagnosis. We report a case of Meige syndrome repeatedly misdiagnosed and treated unsuccessfully as conversion disorder.

Centroids analysis for circle of confusion in reverse Hartmann test

The point spread function（PSF） is investigated in order to study the centroids algorithm in a reverse Hartmann test（RHT） system. Instead of the diffractive Airy disk in previous researches, the intensity of PSF behaves as a circle of confusion（CoC） and is evaluated in terms of the Lommel function in this paper. The fitting of a single spot with the Gaussian profile to identify its centroid forms the basis of the proposed centroid algorithm. In the implementation process, gray compensation is performed to obtain an intensity distribution in the form of a two-dimensional（2D） Gauss function while the center of the peak is derived as a centroid value. The segmental fringe is also fitted row by row with the one-dimensional（1D） Gauss function and reconstituted by averaged parameter values. The condition used for the proposed method is determined by the strength of linear dependence evaluated by Pearson＇s correlation coefficient between profiles of Airy disk and CoC. The accuracies of CoC fitting and centroid computation are theoretically and experimentally demonstrated by simulation and RHTs. The simulation results show that when the correlation coefficient value is more than 0.9999, the proposed centroid algorithm reduces the root-mean-square error（RMSE） by nearly one order of magnitude, thus achieving an accuracy of - 0.01 pixel or better performance in experiment. In addition, the 2D and 1D Gaussian fittings for the segmental fringe achieve almost the same centroid results, which further confirm the feasibility and advantage of the theory and method.

US STRATEGY TOWARD MIDDLE EAST:CONFUSION IN TRANSFORMATION

During the Cold War,the United States implemented an"offshore balance"policy in the Middle East,on the one hand,competing with the Soviet Union for a sphere of influence,and on the other hand,not directly engaging in the war.After the end of the Cold War,the US,as the sole super power,switched to the strategy of direct intervention in the Middle East.

Iatrogenic Horner's syndrome: A cause for diagnostic confusion in the emergency department

Horner＇s syndrome （HS） results from interruption of sympathetic nervous supply to the eye and manifests clinically with partial ptosis, miosis and enophthalmos, along with anhidrosis of face on the affected side.

The Reflection on Spiritual Confusion and the Desire for Return to Humanity in T.S.Eliot's The Love Song of J.Alfred Prufrock

Although in the name of love,The Love Song is actually a middle-aged man's internal monologue of his courage and cowardice.This essay will analyze the stream of consciousness of Prufrock and the world in which he lives,the author's ruthless exposure to society's emptiness and ultimate concern for human development,and poetic techniques he utilizes including metaphor,repetition,and allusion,to express his reflection on spiritual confusion and desire for return to human nature.

A Brief Discussion on the Causes and Countermeasures of College Students'Psychological Confusion and Mental Health Problems

College period is one of the most critical periods of one person’s life for it is an important period of establishing world concept,outlook on life and values.Various challenges and pressures have had a great impact on the mental health of college students.In that case,college students’psychological confusion and mental health problems occur frequently and the overall condition of college students’psychological problems is worrying.The mental health of college students has also attracted the attention of colleges and the society.Besides,the mental health education courses have been adopted to guide college students.This article aims to analyze the causes of college students’psychological confusion and mental health problems and also the obstacles or difficulties in solving them from the perspective of college students'cultivation of positive psychological quality and mental health education.And corresponding solutions from both the outside and personal perspectives.

Confusing Object Detection:A Survey

Confusing object detection(COD),such as glass,mirrors,and camouflaged objects,represents a burgeoning visual detection task centered on pinpointing and distinguishing concealed targets within intricate backgrounds,leveraging deep learning methodologies.Despite garnering increasing attention in computer vision,the focus of most existing works leans toward formulating task-specific solutions rather than delving into in-depth analyses of methodological structures.As of now,there is a notable absence of a comprehensive systematic review that focuses on recently proposed deep learning-based models for these specific tasks.To fill this gap,our study presents a pioneering review that covers both themodels and the publicly available benchmark datasets,while also identifying potential directions for future research in this field.The current dataset primarily focuses on single confusing object detection at the image level,with some studies extending to video-level data.We conduct an in-depth analysis of deep learning architectures,revealing that the current state-of-the-art(SOTA)COD methods demonstrate promising performance in single object detection.We also compile and provide detailed descriptions ofwidely used datasets relevant to these detection tasks.Our endeavor extends to discussing the limitations observed in current methodologies,alongside proposed solutions aimed at enhancing detection accuracy.Additionally,we deliberate on relevant applications and outline future research trajectories,aiming to catalyze advancements in the field of glass,mirror,and camouflaged object detection.

Leaf epidermal characters of Lonicera japonica and Lonicera confuse and their ecology adaptation

The leaf epidermis of Japanese honeysuckle （Lonicera japonica Thunb.） and Wild Honeysuckle （Lonicera confusa） in the genus of Flos Lonicerae were mainly observed by scanning electron microscopes （SEM） to study the characteristics of stomata, trichomes and dermal cell, etc.. The results showed that stoma exists only on the lower epidermis and its distribution is irregular, and leaf epidermis consist of epidermis cells, stoma complexes and bushy trichomes including glandular hair and non-glandular hair. On the upper epidermis, anticlinal wall caves in sinuous groove to countercheck the transpiration. Evidences from leaf morphological structures serve as another proof on drought-resistant mechanisms. Some strumaes distributing regularly are hypothesized as oxalic calcium on the lower epidermis under laser scanning confocal microscopy （LSCM） with Fluo-3/AM, which can increase their endurance to drought stress. Therefore, the above characteristics of Flos Lonicerae can reduce the loss of water and make Japanese honeysuckle and Wild Honeysuckle adapt to the droughty environment at Karst area in southwest China. However, there is some difference of the two species. From the SEM （Scanning Electron Microscopy） result, it is shown that on the upper epidermis, some glandular hair regularly present along the midrib of Japanese honeysuckle, but Wild Honeysuckle has no glandular hair on the upper epidermis, which can verify the relationships of Flos Lonicerae species and provide the significance for classification of Flos Lonicerae.

乱跗线螨(Tarsonemus confusus)引发套袋苹果黑点病及其防治

通过在套袋苹果上人工接种乱跗线螨,验证其与黑点病的关系,试验表明,经杀菌剂处理果实,按每果10～50头接螨危害率为60%,接螨数量多少与套袋苹果黑点病危害率呈正比;自然对照危害率为20%;而人工除螨的空白对照危害率为0。因此证实,乱跗线螨的危害导致了套袋苹果的黑点病。田间使用螨类忌避剂防治可以有效的控制乱跗线螨危害,好果率达到96%,显著好于48%乐斯本乳油、1.8%阿维菌素乳油控制效果,空白处理危害率高达54.17%。套袋前用螨类忌避剂乳油、48%乐斯本乳油、1.8%阿维菌素乳油3种药剂浸袋处理,螨类忌避剂危害率为4%、48%乐斯本乳油危害率为19%、1.8%阿维菌素乳油危害率为31%;喷药防治效果调查结果显示,螨类忌避剂乳油处理平均危害率亦仅为4%,48%乐斯本乳油处理平均危害率为16.25%,1.8%阿维菌素乳油处理平均危害率为26.75%。调查发现乱跗线螨也可以引起套袋梨、套袋桃果实黑点病。

开发和利用我国中草药作为储粮保护剂的研究 4 几种中草药植物物质对杂拟谷盗(Tribolium Confusum Jacquelin du Val)幼虫中肠淀粉酶活性抑制作用的研究

本文就目前植物性昆虫生长调节剂中研究较少、中草药植物中可能存在的昆虫消化酶抑制物质进行了初步探讨。从27种中草药植物中系统筛选出了三种含有杂拟谷盗(Tribolium confusum Jacquelin du Val)幼虫中肠淀粉酶抑制物质的植物,即槟榔(Areca catechu L.)、半夏(Pinellia ternata Breit),乌梅(Prunus mume Sieb.et Zuce. )。这些活性物质在体外和体内对杂拟谷盗幼虫中肠淀粉酶均具有较明显的抑制作用,对杂拟谷盗幼虫生长发育亦有一定影响。 此外,本文还首次报道了杂拟谷盗幼虫中肠淀粉酶的一些动力学特征。

Theoretical Investigations on Electronic Structures and Absorption Spectra of Unsymmetrical Metal-coordinated Neo-confused Porphyrin in Various Solvents

Though the photo-physical properties of free base porphyrin are attractive, there are still problems for the materials with weak and narrow range absorption of visible light. The unsymmetrical neo-confused porphyrin derivatives were introduced as novel materials for the improvement of photo-chemical and photo-physical properties. The density function theory（DFT）and time dependent density function theory（TDDFT） were applied to calculate the absorption spectrum of unsymmetrical neo-confused porphyrin（N-CP） and metal-coordinated N-CP in various solutions. The Ni and Zn coordinated neo-confused porphyrin dipole moment values are smaller than the values of prototype porphyrin（Pro P） and N–CP. According to the electrophilicity index ω, Ni coordinated N–CP（Ni–N–CP） is susceptible to the polarity of solvents, while the Zn coordinated derivative（Zn–N–CP） is more immune to the solvent environment. Unlike the Gouterman＇s four frontier orbital model of common porphyrin materials, the electron transitions of N–CPs and metalcoordinated N–CPs from H–2 or lower molecular orbitals also contribute to ultraviolet and visible absorption. Most of oscillator strength f values of Zn–N–CP are significantly higher than the values of Ni–N–CP, which reflects the higher absorption intensity of Q and Soret bands. The maximum wavelength at 702.2 nm in vacuum drew our attention to the novel material. The broad absorption range, intense red-shifted Q band and higher stability in solvents suggest that N–CPs, especially Zn–N–CP, can be one class of new candidate dye-sensitized materials.

Instance Reweighting Adversarial Training Based on Confused Label

Reweighting adversarial examples during training plays an essential role in improving the robustness of neural networks,which lies in the fact that examples closer to the decision boundaries are much more vulnerable to being attacked and should be given larger weights.The probability margin(PM)method is a promising approach to continuously and path-independently mea-suring such closeness between the example and decision boundary.However,the performance of PM is limited due to the fact that PM fails to effectively distinguish the examples having only one misclassified category and the ones with multiple misclassified categories,where the latter is closer to multi-classification decision boundaries and is supported to be more critical in our observation.To tackle this problem,this paper proposed an improved PM criterion,called confused-label-based PM(CL-PM),to measure the closeness mentioned above and reweight adversarial examples during training.Specifi-cally,a confused label(CL)is defined as the label whose prediction probability is greater than that of the ground truth label given a specific adversarial example.Instead of considering the discrepancy between the probability of the true label and the probability of the most misclassified label as the PM method does,we evaluate the closeness by accumulating the probability differences of all the CLs and ground truth label.CL-PM shares a negative correlation with data vulnerability:data with larger/smaller CL-PM is safer/riskier and should have a smaller/larger weight.Experiments demonstrated that CL-PM is more reliable in indicating the closeness regarding multiple misclassified categories,and reweighting adversarial training based on CL-PM outperformed state-of-the-art counterparts.

SITUATION CONFUSING BUT WAYOUT CLEAR:CHANGES AND PROSPECT OF NORTHEAST ASIAN SITUATION

Recently,in Northeast Asian situation there have occurred escalation of tension and intensification of antagonism seldom seen before.At the same time,however,there are also explorations and signs of restarting dialogue and cooperation that have stagnated since long ago.Development trends of the situation are confusing to the eye,but reconciliation and cooperation remain the way-out for

Confuse and Amuse

CHINESE are well known for their desire to learn English and practice on unsuspecting foreigners, with levels of spoken and written English improving remark- ably across the country in recent years. One stand out, however, has not kept pace with the levels of people＇s English. Every foreigner who has traveled or lived in China will have a story to tell about an English- language sign that has been lost in translation.

复杂地质条件下多级高边坡组合支护方案与稳定性预测研究

以镇赫高速陈贝屯至煤灰堡段为例,根据工程地质、边坡等级和边坡特性等因素对边坡不同剖面采用衡重式挡墙、俯斜式挡墙、桩+锚索、锚杆+面板等支护形式。从病害原因分析和处治手段出发,研究了多级高边坡支护的质量保证措施。基于LightGBM算法建立边坡稳定性预测模型,验证模型精确性后给出预测模型的特征相对重要性结果和预测结果。结果表明:建立预测模型可较好地预测边坡稳定性;影响边坡稳定性最关键的因素为中土体粘聚力,其次为边坡角β,孔隙压力比和土体重度对边坡稳定性影响不大;镇赫高速K2+051~K2+340段边坡稳定概率为0.9,失稳概率为0.1。本项目运营经验表明,组合支护方案及质量保障措施有效提高了项目施工质量、减少了返工现象,保证了项目的经济效益。