Expressionism in furniture

In the first 25 years of my life, I always thought I was a free man, I followed my passion to choose art and design as my career, and strived to enter the best design school. However, until I moving to Providence, and fished on a beach over the midnight, I finally realized, actually I am the victim in dilemma who is always paralyzed by the standards we created. In that midnight, I realized time is not only a number, it can be the track of galaxy or the fluctuation of tide. And I introspected myself why my schools are the best, just because people defined they are? Did I contemplate about whether they are the most suitable for me? The answer is clear, I always follow suit which is defined by other people, and actually I don’t have my own judgment, I’m living in standards we created. But, I’m lucky, at last, I realize it. Most of time, we need to ‘See through the appearance to perceive the essence’, find the truth which belongs to ourselves. Just like Expressionism, artists create projects to express emotion through abundant color and exaggerated figure rather than depicting objective things. We need to directly rethink the essence of our world without any appearances

Improving the Immunity of Hybrid SET/MOS Circuits Using Boltzmann Machine Network

Rapid progress in the fabrication technology of silicon nano devices has pushed the device dimension toward 1- 100nm length scale, which renders the basic working principles of CMOS devices more dependent upon quantum effects and doping fluctuations. When device dimensions are scaled down to a few nanometers, quantum effects such as single electron tunneling (SET) and energy quantization lead to interesting new device characteristics that can be exploited to create extremely compact circuits. The SET is one type of nanoscale electronic devices based on quantum tunneling and Coulomb blockade effect, where one or more Coulomb islands are sandwiched between two tunnel junctions which connect respectively with the drain electrode and the source electrode, and are capacitively coupled with one or more gate electrodes. However, both pure SET devices and hybrid SET-MOS circuits face a big problem – the background charges, which influence the accuracy of the circuit. In order to improve their immunity against these charges, we introduce the neuron network ‘Boltzmann machine’ into the circuit. This idea is to improve the accuracy with increasing time redundancy. Single-electron circuits show stochastic behaviors in their operation because of the probabilistic nature of electron tunneling phenomena. They can therefore be successfully used for implementing the stochastic neuron operation of Boltzmann machines. This thesis proposes applications of Boltzmann machine network to improve the immunity of hybrid SET/MOS circuits to overcome random background charges. Detailed unit neuron block and whole neuron network model are used to design hybrid SET/MOS circuits. Two applications based on Boltzmann machine are proposed: (1) Multi-bit A/D converter, and (2) One-bit full adder. Simulation was done using Cadence Spectre simulator with 180nm CMOS model and SET MIB macro model for performance evaluation. And it is expected that our idea can be extended to other hybrid SETMOS

Sharper Model-free Reinforcement Learning for Average-reward Markov Decision Processes

We develop several provably efficient model-free reinforcement learning (RL) algorithms for infinite-horizon average-reward Markov Decision Processes (MDPs). We consider both online setting and the setting with access to a simulator. In the online setting, we propose model-free RL algorithms based on reference-advantage decomposition. Our algorithm achieves $\widetilde{O}(S^5A^2\mathrm{sp}(h^*)\sqrt{T})$ regret after $T$ steps, where $S\times A$ is the size of state-action space, and $\mathrm{sp}(h^*)$ the span of the optimal bias function. Our results are the first to achieve optimal dependence in $T$ for weakly communicating MDPs. In the simulator setting, we propose a model-free RL algorithm that finds an $\epsilon$-optimal policy using $\widetilde{O} \left(\frac{SA\mathrm{sp}^2(h^*)}{\epsilon^2}+\frac{S^2A\mathrm{sp}(h^*)}{\epsilon} \right)$ samples, whereas the minimax lower bound is $\Omega\left(\frac{SA\mathrm{sp}(h^*)}{\epsilon^2}\right)$. Our results are based on two new techniques that are unique in the average-reward setting: 1) better discounted approximation by value-difference estimation; 2) efficient construction of confidence region for the optimal bias function with space complexity $O(SA)$

Correlation between Parenting Styles and Learning Stress Junior High School Chinese class Students in Zibo City, China

In this study, we investigate the significance of parenting styles in the educational development of junior high school students, recognizing the vital role of family education during this formative period. As the primary educators of their children, parents wield considerable influence on their offspring’s lives, with family education offering distinct advantages over other forms of education. The status and role of family education remain undisputed. Parenting styles encompass a combination of upbringing concepts, behaviors, and emotional expressions toward children. We examine the characteristics and determining factors of different parenting styles, focusing on three typical family upbringing patterns: authoritative, Authoritarian, and democratic. Additionally, we explore the significant impact of these diverse parenting styles on students’ stress levels related to learning Chinese. The paper delves into the essential role of effective and suitable parenting styles in fostering comprehensive and healthy development in students. Furthermore, we elucidate the strategies and methods for establishing positive parenting styles. This quantitative correlational research involved a random sample of 330 participants, collected from three junior middle schools in Zibo City. Utilizing SPSS, we analyzed the relationship between parenting styles and Chinese learning stress among junior high school student

A case study on tourism spatial pattern and its influencing factors from the perspective of real and virtual tourism economic at county scale in Yellow River Economic Belt

Based on the index of tourism Baidu search volume and total tourism income of 667 research units at county scale in Yellow River Economic Belt, this paper uses spatial classification, exploratory analysis of spatial data, nuclear density estimation and other methods to compare and analyze the spatial pattern of county tourism economy in the Yellow River Economic Belt, and then uses the geographical detector model to analyze the influencing factors. The results are drawn as follows. Firstly, from the perspective of spatial distribution pattern, the imbalance of the overall tourism economy is obvious, and the spatial pattern shows a “one big, three small” four core agglomeration pattern. Secondly, from the perspective of spatial correlation pattern, significant HH and LL areas are dominant whether virtual economy or a real economy, and spatial agglomeration effect is obvious. Real economic significant HH areas mainly distribute in the tourism economic developed areas of Shaanxi and Shandong, while real economic significant LL areas are mainly concentrated in the middle and east of Inner Mongolia, the south of Shanxi, most of Qinghai and the north of Ningxia, and scattered in Henan, Gansu and other places. Compared with the entity level, the HH areas of the virtual economy are significantly expanded, mainly distributing in Shandong, Shaanxi and the eastern part of Inner Mongolia. The number of significant LL areas is significantly increased and the distribution range has changed, and the distribution scope of low-value cluster areas mainly distributes in most areas of Qinghai, south and north of Shanxi, and sporadically distributes in Gansu. From the perspective of nuclear density, the spatial structure of virtual and real economy is similar, and the high-value counties mainly distribute in Shandong, Henan and Shanxi forming a high-value gathering area expanding into a core development area. It is worth noting that the virtual economy scope in the north of Shaanxi and the northeast of Inner Mongolia has formed many sub-cores, which indicates that the level of virtual economy in the region is rapidly rising. Finally, according to the results of the Geo-detector model and the coupling matching analysis model, we found the real economy is mainly affected by the resources support level. We also found virtual economy is mainly affected by the level of information technology

Bandwidth Tunable Optical Filter Based on the Quad-Mode Resonator

An innovative bandwidth tunable optical filter with controllable bandwidth, center frequency, and transmission zero is proposed in this paper. The proposed filter utilizes a quad-mode resonator to achieve a wideband filter centered at 2.42 GHz. By incorporating varactor diodes into the open branches of the resonator, the proposed filter's center frequency and bandwidth can be dynamically adjusted via the voltage applied to the diodes. This tunable filter exhibits low insertion loss of less than 2 dB, return loss exceeding 10 dB, and a relative bandwidth of up to 40%

Predicting Blossom Date of Cherry Tree With Support Vector Machine and Recurrent Neural Network

Our project probes the relationship between temperatures and the blossom date of cherry trees. Through modeling, future flowering will become predictive, helping the public plan travels and avoid pollen season. To predict the date when the cherry trees will blossom exactly could be viewed as a multiclass classification problem, so we applied the multi-class Support Vector Classifier (SVC) and Recurrent Neural Network (RNN), particularly Long Short-term Memory (LSTM), to formulate the problem. In the end, we evaluate and compare the performance of these approaches to find out which one might be more applicable in reality.Comment: 6 Pages, 6 Figure