深问、深思、深情 以教育家精神指引《道德与法治》教学

青教赛的舞台,让我更全面、系统地思考如何上好《道德与法治》课。习近平总书记在2023年9月全国优秀教师代表座谈会上嘱教育工作者做好老师、做“大先生”、大力弘扬教育家精神。

以“问”为突破口,激发学生上好思品课的主动性和创造性

目前学生在学习过程中凸显的最大问题是其不善于发现问题、提出问题，这在一定程度上阻碍了学生创新能力的提高，也不利于学生主动学习意识的培养。在思品课教学过程中．应营造宽松、民主的教学氛围，促使学生敢问、会问．并且在不断地发现问题和提出问题的过程中，使学生学习思品的兴趣不断地被激发，创新能力得到不断的发展．使学生能真正回到自主学习的轨道上来。

浅谈课堂提问

课堂提问是教学的常用手段,课堂中要把握好提问的时机,讲究提问的方法,尤其要教会学生自我提问,以促进其自主学习能力的形成。

“数学教学111模式”,打造高效课堂

对于高效课堂,教学论专家余文森教授作过很通俗的解说:“课堂教学的有效性是指通过课堂教学活动,学生在学业上有收获、有提高、有进步。具体表现在:学生在认知上,从不懂到懂,从少知到多知,从不会到会;在情感上,从不喜欢到喜欢,从不热爱到热爱,从不感兴趣到感兴趣。”“数学教学111模式”,即一课一情境,引发学生思考;一课一活动,促进学生思考;一课一深问,深化学生思考。学生在情境、活动、问题中融入课堂,高效学习数学。

龙头老太(连载)

何秘书知道公安工作的特殊性,也不便深问,说回去以后向杨副市长汇报,让他放心。王大德连忙摇摇手,说错错错!干嘛要这样汇报呢?这种事件,在我的辖区里有,在其他地方就没有?全市这么大,难道他们只看中我们这一块地方?如果全市都闹起来,那还了得?你小子当秘书,想保护首长、安慰首长是对的,可千万别让他闭目塞听,别让他高枕无忧!让他把眼睛睁大点,多盯着我们,多盯着下面,让我们多害怕,多紧张,那才能真正解决问题,那才会天下太平,那才是真正爱护首长!

A survey of deep learning-based visual question answering

With the warming up and continuous development of machine learning,especially deep learning,the research on visual question answering field has made significant progress,with important theoretical research significance and practical application value.Therefore,it is necessary to summarize the current research and provide some reference for researchers in this field.This article conducted a detailed and in-depth analysis and summarized of relevant research and typical methods of visual question answering field.First,relevant background knowledge about VQA(Visual Question Answering)was introduced.Secondly,the issues and challenges of visual question answering were discussed,and at the same time,some promising discussion on the particular methodologies was given.Thirdly,the key sub-problems affecting visual question answering were summarized and analyzed.Then,the current commonly used data sets and evaluation indicators were summarized.Next,in view of the popular algorithms and models in VQA research,comparison of the algorithms and models was summarized and listed.Finally,the future development trend and conclusion of visual question answering were prospected.

Frictional contact algorithm study on the numerical simulation of large deformations in deep soft rock tunnels

There exist three types of nonlinear problems in large deformation processes of deep softrock engineering, i.e., nonlin- earity caused by material, geometrical and contact boundary. In this paper, the numerical method to tackle the nonlinear eontact and large deformation problem in A Software on Large Deformation Analysis for Soft Rock Engineering at Great Depth was presented. In the software, based on Lagrange multiplier method and Coulomb friction law, kinematic constraints on contact boundaries were introduced in functional function, and the finite element equations was established for two incremental large deformation analyses models, polar decomposition model and additive decomposition model. For every incremental loading step, by searching for the contact points in the potential contact interfaces （the excavation boundaries）, the Lagrange multipliers, i.e., contact forces are cal- culated iteratively by Gauss-Seidel method, and justified through satisfy the inequalities of static constraint on contact boundaries. With the software, large deformation and frictional contact of a transport roadway were analyzed numerically by the two models. The numerical examples demonstrated the efficiency of the method used in the software.

Modeling vertical heat transport in the wave affected surface layer of the ocean

In considering the vertical heat boundary approximation for the free surface applied. However, due to the existence of the transport problems in the upper ocean, the flat upper and the horizontal homogenous hypothesis are usually wave motion, the application of this approximation may result in some errors to the solar irradiation since it decays quickly in respect to the actual thickness of the water layer below the surface; on the other hand, due to the fluctuation of the water layer depth, it is improper to neglect the effects of the horizontal advection and turbulent diffusion since they also contribute to the vertical heat transport. A new model is constructed in this study to reflect these effects. The corresponding numerical simulations show that the wave motion may remarkably accelerate the vertical heat transferring process and the variation of the temperature in the wave affected layer appears in an oscillating manner.

Efficient network coding-based retransmission algorithm for reliable wireless multicast

Recent research shows using network sion efficiency in wireless networks greatly et for retransmission over composite fading coding for reliable multicast can improve the retransmis- In this paper, we study how to code the composite pack- channels efficiently. For the composite fading environ- ment with muhiple receivers, receivers experience different fading at any time. It＇ s very important to code the composite packet so that intended receivers are in good channel qualities, because in- tended receivers in deep fading have little opportunity to receive the composite packet correctly. Hence, we propose a novel composite packet coding principle of maximizing the total SNR of intend- ed receivers. Since the proposed principle is an NP-complete problem, an efficient heuristic algo- rithm with low complexity is given for finding a suboptimal solution. Simulation results show the heu- ristic based scheme achieves higher transmission efficiency than other network coding-based schemes due to the multi-user diversity gain.

The Bhumisukta Revisited in the Background of Contemporary Environmentalism

In this paper I like to revisit Bhumisukta of the Atharvaveda in the backdrop of present-day environmentalism. It is divided into three parts. In Part 1 I like to give a synoptic view of contemporary environmentalism, as reflected in Arne Naess＇s Deep Ecology. In Part 2 I make an exposition of the Bhumisukta, particularly those verses （mantras） which are directly relevant to our environmental concerns. To say the truth, this Bhumisukta （also called the Pcthivisitkta） epitomizes the Vedic Hindu eco-culture. The Bhumisukta （which literally means, the Hymn or Prayer to the Earth） is the oldest and the most evocative environmental discourse. It is called ＂the first natural anthem＂ in the history of mankind. It constitutes the first anuvgtka of dvgtda~ kgm. da of the Atharvaveda and contains 63 verses （mantras） devoted to glorifying the Earth as sacred and inviolable. Many prayers have been sung for the preservation and conservation of Nature and its gifts of splendor. The Bh^misftkta talks about human dependence on the Nature and respect for the same that follows naturally. It proclaims of the Earth as the mother, and humanity as her children Bhumisukta, putro＇ham pr. thivyah＂ In Part 3 1 like to make a brief but critical observation regarding the loss of continuity of Vedic tradition in view of an objection made by some Western environmentalists. In this concluding part I like to respond to the objection that so called eco-sensitive cultures could not avert environmental pollution and depletion of Nature in countries, like India.

Relationship among subtropical anticyclone,drought and earth rotation

The deep reason of severe disaster weather with the relationship among the earth nutation,rotation and atmospheric change is explored based on the effective results about the disaster weather prediction of the long term made by the variation of the earth rotation in near 10 years. It is discussed the relationship between the subtropical anticyclone and subtropical easterlies to aim at the problem of high temperature and drought in the globe,further more,the comparison analysis has been made to the earth nutation and the variation of rotation. The research results show that the reasons of severe disaster weather not only are due to atmosphere itself,but have some variation information of earth movement which could be used for the weather forecast.

Solving Schrodinger Equation with Soft Constrained Monotonic Neural Network

Artificial Neural Network(ANN)has become a powerful tool in the field of scientific research with its powerful information encapsulation ability and convenient variational optimization method.In particular,there have been many recent advances in computational physics to solve variational problems.Deep Neural Network(DNN)is used to represent the wave function to solve quantum many-body problems using variational optimization.In this work we used a new Physics-Informed Neural Network(PINN)to represent the Cumulative Distribution Function(CDF)of some classical problems in quantum mechanics and to obtain their ground state wave function and ground state energy through the CDF.By benchmarking against the exact solution,the error of the results can be controlled at a very low level.This new network architecture and optimization method can provide a new choice for solving quantum many-body problems.

基于UKF的雷达和机载ESM扩维跟踪

为有效提高异类传感器融合跟踪的效果,提出了一种基于UKF的雷达和机载ESM扩维跟踪算法。首先将目标和机载ESM的状态信息组合起来,形成一个高维的状态向量,从而有效抑制滤波中GPS定位误差所带来的影响;接着在此基础上采用UKF来实现目标的定位跟踪,以求进一步减小扩维后线性化误差加大等问题的影响。仿真结果表明,该算法可更好地实现对目标的定位跟踪。