Coupled-generalized nonlinear Schr¨odinger equations solved by adaptive step-size methods in interaction picture

We extend two adaptive step-size methods for solving two-dimensional or multi-dimensional generalized nonlinear Schr ¨odinger equation(GNLSE): one is the conservation quantity error adaptive step-control method(RK4IP-CQE), and the other is the local error adaptive step-control method(RK4IP-LEM). The methods are developed in the vector form of fourthorder Runge–Kutta iterative scheme in the interaction picture by converting a vector equation in frequency domain. By simulating the supercontinuum generated from the high birefringence photonic crystal fiber, the calculation accuracies and the efficiencies of the two adaptive step-size methods are discussed. The simulation results show that the two methods have the same global average error, while RK4IP-LEM spends more time than RK4IP-CQE. The decrease of huge calculation time is due to the differences in the convergences of the relative photon number error and the approximated local error between these two adaptive step-size algorithms.

Some new step-size rules for optimization problems

The step-size procedure is very important for solving optimization problems. The Armijo step-size rule, the Armijo-Goldstein step-size rule and the Wolfe-Powell step-size rule are three well-known line search methods. On the basis of the above three types of line search methods and the idea of the proximal point methods, a new class of step-size rules was proposed. Instead of a single objective function f, f ＋1/2（x - xk）^TBk（x-Xk） was used as the merit function in iteration k, where Sk is a given symmetric positive definite matrix. The existence of the steplength for the new rules was proved. Some convergence properties were also discussed.

A new variable step-size LMS method and its application in DOA estimation of OFDMA signals

To meet the requirements of quick positioning of mobile terminals from base stations(BSs)or third-party devices,as well as to improve the convergence speed and reduce the steady state maladjustment of the least mean square(LMS)method,a new logarithmic-sigmoid variable step-size LMS(LG-SVSLMS)was proposed and applied to estimate the direction of arrival(DOA)of orthogonal frequency division multiple access(OFDMA)signals.Based on the proposed LG-SVSLMS,a non-blind DOA estimation system for OFDMA signals was constructed.The proposed LG-SVSLMS adopts a new multi-parameter step-size update function which combines the sigmoid function and the logarithmic function.It controls the adjustment magnitude of step-size during the initial and steady state phases of the LMS method to achieve both a high convergence speed and low steady state maladjustment.Finally,simulation was conducted to verify the performance of the LG-SVSLMS.The simulation results show that the non-blind DOA estimation system based on the LG-SVSLMS can accurately estimate the DOA of the target signal in the scenario where interference signals from multi-source and multi-path fading signals arrive at the third-party devices asynchronously with the target signal,and the estimation deviation is within±3°.The non-blind DOA estimation for OFDMA signals with the proposed LG-SVSLMS is of great significance for the instant positioning technology of mobile terminals based on the adaptive antenna array.

Majorizational Choosing of Several Different Fuzzy Counter Operator

Different fuzzy reasoning methods were made by choosing different fuzzy operater.This article generally introduced the basic structure of fuzzy controller,and gave several different fuzzy controllers,and compared and analyzed different fuzzy counters in theory and computer simulating control and realized majorizational choosing of several fuzzy counters.

A New Genetic Algorithm Based Upon Globally Optimal Choosing and Its Practices

A new genetic algorithm (GA) is developed. It features three new operations: restoration, reconstruction and recording the better, so as to produce a limited monotonic sequence of fitness value, to realize a globally optimal choosing, and to converge to a globally optimal solution through a perfectly stochastic process. Practical examples are given to illustrate the superiority of this new GA.

The Status Quo of Topics Choosing in English Majors＇ Academic Writings—— A Case Study of CUPL Junior English Majors

Academic writings, whether they are BA dissertations or semester papers, are important carriers of one＇s ideas and findings of their own study and research spheres. In academic papers, the most important part is the choice of topics which determines the macro direction of the paper. Important as it is, it is difficult for the English majors to choose the most appropriate topics with idea-invested thesis statements instead of some factual statements. Therefore, in order to make clear of the status quo and underlying obstacles of topic choosing, this paper is to study on 98 samples from China University of Political Science and Law＇s junior English majors. By observing and analyzing their writings, the paper intends to fred out some possible and accessible methods to improve English majors＇ academic writing and offer some insights for teachers to make some adjustments in accordance with the status quo.

A New Venture in China: Choosing Your Own Job

A novel kind of working person is emerging in China:the solo sailor who hoists his/her own sail to"go out to sea”in business and commerce,

Choosing a Pet

THE capital boasts countless markets of all kinds,but some of its insect,bird and pet markets immortalize Beijing culture and folkloric traditions.Don’t miss it! The Huasheng Tianqiao Market,south of the famous Panjiayuan Antique Market, was moved a few years ago and rebuilt in the

Choosing Mandarin Senegal’s public and private schools keep up with demand for study of the Chinese language

In Dakar, Happy Kids Kindergarten has set itself an ambitious challenge： to teach Senegalese toddlers to speak Chinese. This kindergarten, located in Ngor District, boasts of being the first trilingual school in Senegal. In addition to French （the country＇s official language） and English, the school also teaches Mandarin. With China being the world＇s most popu lous country and second largest economy, there is much to benefit from it this decision.

择时训练理论下公安院校警察体能课程时段设置研究

择时训练理论依托运动生物学的核心——生物节律,通过更加符合人体生物节律的运动时段进行训练,同时公安院校承载着为国家培养预备警官的重要任务,更加突出在公安院校警察体能课程中进行课程时段设置的重要性。本研究基于择时训练理论,旨在探讨公安院校警察体能课的时段设置对学员体能训练效果的影响。为此,本研究采用文献资料法、专家访谈法、实验法等对公安院校警察体能课程时段设置进行研究,并结合择时训练理论给出切实可行的训练方案,从而为公安院校学员在体能训练方面提供研究思路。

平台转移成本与“二选一”协议——基于Hotelling模型的市场垄断行为分析

“二选一”协议是大型平台惯用的维持用户的手段,但协议并不属于“本身违法”行为,如何认定与治理“二选一”垄断是平台反垄断的重难点之一。转移成本是平台内消费者与经营者在选择合作平台时的重要参考因素之一。通过构建平台市场模型,计算不同市场结构下的“二选一”协议对社会福利水平的影响,发现只有平台内用户在退出平台时存在转移成本时,平台企业的“二选一”协议才构成垄断行为。同时,占据份额优势的平台会主动让渡一部分市场份额,以阻止其他小型平台的过度竞争,且让渡份额的大小与转移成本的大小正比例相关。在数字平台市场中,转移成本多以数据要素的形式存在,通过数据可携带权可以实现对“二选一”协议垄断的有效治理。

会计任务复杂性、可信性感知与人机协作模式选择

会计领域对人工智能技术的应用处于人机混合协作的探索阶段,人与智能机器在工作任务中的主导权及扮演角色的不同,形成了多样的人机协作模式,不同复杂性的会计任务中应用何种人机协作模式是需要深入探究的问题。本文通过设计2(任务复杂性)×2(人机协作模式)的混合实验情景来考察会计任务复杂性对人机协作模式选择的影响。研究发现,当面临需要用人类的思想进行深入推理或处理的复杂会计任务时,人们会对人类主导的人机协作模式所作会计处理结果形成更高的可信性感知,从而更倾向于选择该协作模式;当面临可规则化的简单会计任务时,人们则对人工智能主导的人机协作模式下的会计处理结果的可信性感知更高,从而产生更高的选择意愿。研究结论为企业会计工作中如何根据任务需要选择合适的人机协作模式提供启发和参考,并揭示了信任感知的作用机制。

论营业性演出中假唱的认定及责任免除

认定假唱与否的关键,在于是否存在用事先录制好的歌曲代替现场演唱的行为。代替的程度不影响假唱在法律上的构成。我国的假唱法律制度含有“披露即可免除责任”的安排,对披露主体、披露方式、披露对象和披露内容等四个方面进行法律规定上的完善,不但可以使该制度安排得到更好的运行和适用,而且可以使营业性演出相关方充分利用现代科学技术丰富演唱的表演形式和内容,这有利于行政机关针对性地提高监管实效、保障消费者的知悉真情权和自主选择权、营造繁荣健康的演出市场。

大学生就业焦虑与职业决策困难、自我效能感的关系探究

该文通过探究大学生就业焦虑、职业决策困难、自我效能感三者之间的关系,分析就业焦虑和职业决策困难对就业焦虑的影响。使用就业焦虑问卷、职业决策困难问卷和大学生自我效能感量表,对553名大学生进行检测。结果显示:就业焦虑与职业决策困难呈显著中度正相关,与自我效能感呈显著负相关,自我效能感与职业决策困难呈显著负相关;职业决策困难在自我效能感对就业焦虑的影响中起完全中介作用。通过关注特殊就业群体并精准帮扶、加强就业指导并贯穿学业全过程、注重家校沟通并建立协同联动机制,可以有效提高大学生的自我效能感,降低职业决策困难程度和就业焦虑程度。

传染病患者首诊医疗机构选择的影响因素分析及预测模型研究

目的建立消化道和呼吸道传染病患者首诊医疗机构选择预测模型并分析其影响因素,为医疗机构精准防治传染病提供参考。方法通过整群抽样方法,抽取北京市通州区某医联体覆盖区域内1524例消化道和呼吸道传染病患者。将患者数据按照8∶2随机分成训练集和测试集,采用二元logistic回归模型分析患者首诊医疗机构选择的影响因素并建立预测模型,通过测试集中受试者工作特征(receiver operating characteristic,ROC)曲线下的面积(area under the curve,AUC)评价模型预测效果。结果1524例患者中,有417例选择社区首诊。文化水平、医保类型、职业、相对距离、是否签约家庭医生是传染病患者选择首诊医疗机构的影响因素。测试集的AUC=0.851,模型拟合效果较好。结论通过建立传染病患者首诊医疗机构预测模型可用来预测患者流向,帮助区域合理配置医疗资源,提高区域内传染病患者基层首诊率。

数字经济反垄断中消费者福利标准的反思与适用

数字经济背景下消费者福利损害范围的规模性和不特定性、损害方式的个性化、损害结果的难以计量性要求反垄断法介入保护,数字经济非价格因素和动态竞争的特征使得传统消费者福利标准适用失灵,而实践中消费者福利标准往往会成为案件分析中的修饰性表达,导致反垄断法规范目标偏移。数字经济高度集中化的趋势,要求消费者福利保护由重视经济效率向重视市场结构和竞争过程转变,反垄断法作为行为规制法对消费者福利进行保护,防止消费者福利庸俗化。为避免科技巨头经济垄断权力蔓延至政治中心,新布兰代斯学派反对以消费者福利作为唯一诉求,主张通过反垄断法分析范式转型保障消费者选择权,实现经济民主和反垄断法多元目标。消费者福利保护是反垄断法的间接目标,应被作为判断竞争损害的参考要素。对于数字经济反垄断中消费者选择权损害的分析,应遵循合理原则,综合权衡经营者行为的竞争损害效果和消费者福利增进效果。同时,从实体标准和程序制度层面细化和完善消费者福利标准在垄断协议、滥用市场支配地位和经营者集中行为规制中的具体适用。

论破产程序中所有权保留的法律效力

功能主义担保观下的所有权保留呈现出担保权利构造的特点。破产程序中的所有权保留买卖合同符合待履行合同的特点,破产管理人对此享有选择履行权。我国民事立法中保留所有权关系的买受人不享有具有物权效力的期待权,在出卖人破产时,买受人的期待利益不会阻碍破产管理人享有选择履行权。出卖人的保留所有权未经登记不得对抗买受人的普通破产债权人。登记保留所有权的出卖人,有权向买受人的破产管理人主张取回标的物,但应参照担保物权的实现程序,适用归属清算或者处分清算的规则,出卖人行权应承受破产法施加于担保物权的程序限制。出卖人的破产管理人对于标的物的取回权性质为民法取回权,其行使受到民事立法登记公示对抗力规则的约束。

吴茱萸择时选穴热熨护理对乳腺癌术后患者心身症状影响的临床研究

目的:探讨吴茱萸择时选穴热熨护理对乳腺癌术后患者心身症状的影响。方法:选择2020年1月至2021年12月在深圳市龙岗区妇幼保健院接受乳腺癌手术治疗的88例患者作为研究对象,随机数字表分为观察组(44例)和对照组(44例)。两组均于乳腺癌术后采用吴茱萸药熨,观察组在此基础上采取择时选穴护理方法,每天热敷30min,连续热敷3d。对两组术后疼痛情况、心理指标、生活质量及护理满意度进行评价。结果:术后24h、48h和72h时,两组VAS评分较术后12h显著性降低,呈现下降趋势,并且观察组各时间点VAS评分低于对照组(P<0.05);术后7d时,两组SAS和SDS量表评分均有明显下降,并且观察组的心理量表评分均低于对照组(P<0.05);观察组术后1个月时SF-36中各项生活质量评分均高于对照组(P<0.05);观察组的护理满意度高于对照组(P<0.05)。结论:吴茱萸择时选穴热熨护理能够减轻乳腺癌患者术后疼痛程度,促进心身症状改善,护理满意度较高。