Mongolian traditional botanical knowledge has been rarely researched concerning the ethnobotany theory and methodology in the last six decades ). However, most of the known literature of indigenous knowledge and information regarding the use of local wild plants among Mongolian herders was first documented by several botanical research of Russian researchers in Mongolia through the 1940s and 1950s. One of the most comprehensive works was completed by A. A. Yunatov, which is known as “Fodder Plants of Pastures and Hayfields of (...) the People’s Republic of Mongolia”. Yunatov’s research sampled forage plants in Mongolia from 1940 to 1951 and subsequently published a study in 1954. The original transcript of FPM was later translated into Chinese and Mongolian during 1958 and 1968. In addition to morphological characteristics, distribution, habitat, phenology, palatability, and nutrition of forage plants, Yunatov`s record collected local names, the folk understanding and evaluation of the forage, as well as other relevant cultural meanings and the use of local wild plants in FPM through interviews. The book contains the most precious records created in the 1940s and 1950s on folk knowledge of the Mongolians' wild plants in Mongolia. It was composed of 8 chapters and 351 pages in total. The fifth chapter of FPM, entitled “The systematic overview of forage plants,” making up 272 pages. The order and content of the book-oriented along with profiles of specific plants. Yunatov collected detailed information on plants, such as the local name, morphology, distribution, habitats, ecological characteristics, and phenology. He also discussed the palatability of livestock, particular forage use, other usages, and chemical composition. Through careful reading and understanding of all three versions of the book ), the FPM-listed information of edible plants was categorized using ethnobotanical dependent analysis. The list of edible plants was ranked based on purposes and ethnobotanical inventories as per methodology and analysis used in the ethnobotany research. FPM listed 35 species are part of 15 families and 25 genera of wild edible plants. Most species belong to Liliaceae and Allium. Naturally grown grain and some food substitutes come from the starchy organs, such as seeds, bulbs, roots, and rhizomes of 12, accounting for 34.28% of all species. Wild vegetables come from the parts of a young plant, tender leaves, young fruits, lower leg of stems, and bulbs of 9 species, accounting for 25.71% of all species. There are only three species of wild fruits, accounting for 8.57% of all edible plant species. Tea substitutes consist of leaves, roots, follicle, and aboveground parts of 8 wild plant species, accounting for 22.85% of all species. Seasonings from the wild were made of the elements such as seeds, rhizomes, tender leaves of 7 species, accounting for 20.00% of all species. Similarities and differences are noticeable in utilizing wild edible plants among Mongolian populations living in Mongolia and Inner Mongolia. Six species of wild edible plants listed in FPM have been proven to be collected and consumed by Mongolians from the Genghis Khan era in the twelfth century to the present day. This proved that the Mongolians have a tradition of recognizing and utilizing wild plants, demonstrating historical and theoretical value. Seven species of plants mentioned in this book were closely correlated to the locals' processing of traditional dairy products, meat, and milk food. Yunatov was not an ethnobotanist, but his accurate documentation of interviews and surveys with Mongolians represents valuable information about the collection and consumption of local wild plants during 1940–1951 in Mongolia. His research mission meant to focus on forage grass, the feed plant that sustained livestock, while he also recorded plants consumed by humans. His records on the edible parts and intake methods of some plants are incomplete. Still, it provided ethnobotanical materials of a remarkable scientific value and a living history of ethnobotany in Mongolian regions. Even by today`s standards, it will be challenging to obtain first-hand information of the richness and to the extent of Yunatov’s research. (shrink)

In Heidegger, “thinking” and “poetry” are inseparable, and the interpretation of poetry is an important approach for him to express his philosophical thinking. His phenomenological approach is a path to return to the things themselves, i.e, to see the facticity and understand the meaning of existence in the lived experience of existential situations. Themes such as “anxiety”, “alien”, “soul and Earth”, “words” can reveal the existential situations in Chinese and German poems through a cross-cultural interpretation from Heidegger’s perspective.

影響全球的COVID-19已經進入第三年，在疫情時代或後疫情時代的種種爭論中，相關的倫理考量依然是學界關注的議題。本期的論文涉及具體的醫學倫理學問題，包括香港抗疫倫理焦點、ECMO的使用、疫情防控中的 道德兩難、現代科技大數據所引發的對個人隱私的焦慮、疫情處境中的善終和臨終關懷、審視傳統中醫學有關疫情控制的歷史研究、傳統墨家思想對現當下防疫管理的啟示作用。本期的論文的研究方法各有不同，包括哲學的、倫 理學的、實證的、歷史的、及比較的，其宗旨是引發人們對這些問題的反思和探討。.

Chinese philosophy is practical in orientation. This practical orientation is consistent with field philosophy, which aims to break the disciplinary mode of knowledge production and establish inter...

Alcohol displays on Facebook are ever present and can be socially desirable for college students. Because problematic drinking is a concern for college students, this research sought to understand how different types of information on a Facebook page influence first year college student likelihood to drink. Telephone interviews were conducted with 338 incoming college freshmen from two large national universities. Data were obtained from a vignette prompt that presented a scenario in which a senior college student’s Facebook profile displayed wall (...) posts, pictures, and status updates that were drinking related or prosocial in nature. Participants were asked to report intention to drink alcohol with that student if they were together at a party. Findings supported the following hypotheses: Wall posts were most influential (the stickiest), followed by pictures, followed by status updates. Findings provide additional empirical support for established online impression formation patterns, and also provide evidence that virtual cues are being ingrained as schemas in interpersonal communication. These results are discussed in relation to the concept of sticky cues in impression formation. (shrink)

Our prior research demonstrated that the right temporoparietal junction exerted a modulatory role in ingroup bias in emotional mimicry. In this study, two experiments were conducted to further explore whether the rTPJ is a neural region for emotional mimicry or for the modulation of emotional mimicry by group membership in a sham-controlled, double-blinded, between-subject design. Both experiments employed non-invasive transcranial direct current stimulation to temporarily change the cortical excitability over the rTPJ and facial electromyography to measure facial muscle activations as (...) an index of emotional mimicry. After the anodal or sham stimulation, participants in Experiment 1 passively viewed a series of happy clips, while participants in Experiment 2 viewed happy clips performed by ethnic ingroup and outgroup models. fEMG analyses revealed that participants in Experiment 1 showed the same degree of happy mimicry for both tDCS conditions and participants in Experiment 2 showed an ingroup bias in happy mimicry in the sham condition, which disappeared in the anodal condition. Taken together, the present study demonstrated that rTPJ plays a role in the modulation of emotional mimicry by group membership. (shrink)

本书写了明代徽州学者程敏政和程瞳收集朱熹和陸九洲二人言论和来往书信著作。朱陸之辩和朱陸异同成为历史发展的一个深化,也构成了以后至元、明、清诸代哲学的一条主线。.

The artworks in 'Synthetic Times' explore a trajectory of uncanny visions ranging from the desire to transcend the corporal to the construction of synthetic worlds.

The main goal of this paper is to analyse the effect of high school scholarships tied to community service on the development of secondary school students in Northwest China. Using data from three rounds of surveys of thousands of students in 298 classes in 75 high schools in Shaanxi province, the paper documents the implementation of the Compassionate Heart Scholars Program and evaluates the effect of the programme on the educational performance, self‐esteem, self‐efficacy and social responsibility of the participants. We (...) present evidence that part of the protocol of the programme (which includes the nomination and election of programme participants) improves the academic performance and self‐esteem of those involved in the programme. The community service part of the programme is shown to raise the self‐efficacy and the sense of social responsibility of the programme participants. One striking result is that the test scores of the community service participants do not appear to be adversely affected, even though they spend considerable time doing community service. The findings of this study, therefore, suggest that adding extra‐curricular community service to school curricula may be a win–win–win strategy, for the students, for schools and for the local communities served. (shrink)

In the Original publication of the article the revised date was erroneously published as: 20 August 2017 the correct date is: 20 August 2020.

東アジア共通の知の基盤を創った99人。日本・中国・韓国の3か国から各33名、近世の代表的思想家を紹介。単なる技術の学ではなく、儒学を基調として、自己修養や自然への畏敬など「心」を重んじる実心実学思想は 、東アジア世界の独自かつ共通の知的達成であった。近代以降を席巻した西洋の知的体系が大きな見直しを迫られるいま、東アジア独自の知の源泉を再認識する。.

BackgroundThe cognitive outcomes induced by subthalamic nucleus deep brain stimulation (STN-DBS) remain unclear, especially in PD patients with mild cognitive impairment (MCI). This study explored the cognitive effects of STN-DBS in PD patients with MCI.MethodsThis was a retrospective cohort study that included 126 PD patients who underwent STN-DBS; all patients completed cognitive and motor assessments before and at least 6 months after surgery. Cognitive changes were mainly evaluated by the Montreal cognitive assessment (MoCA) scale and the seven specific MoCA domains, (...) including visuospatial/executive function, naming, attention, language, abstract, delayed recall, and orientation. Motor improvement was evaluated by the UPDRS-III. Cognitive changes and motor improvements were compared between PD-MCI and normal cognitive (NC) patients. Logistic regression analyses were performed to explore predictors of post-operative cognitive change.ResultsAt the time of surgery, 61.90% of the included PD patients had MCI. Compared with the PD-MCI group, the PD-NC group had a significantly higher proportion of cases with post-operative cognitive decline during follow-up of up to 36 months (mean 17.34 ± 10.61 months), mainly including in global cognitive function, visuospatial/executive function and attention. Covariate-adjusted binary logistic regression analyses showed that pre-operative global cognitive status was an independent variable for post-operative cognitive decline. We also found that pre-operative cognitive specific function could predict its own decline after STN-DBS, except for the naming and orientation domains.ConclusionPD-MCI patients are at a lower risk of cognitive decline after STN-DBS compared with PD-NC patients. (shrink)

The aim of this article is to demonstrate the intricate operation of the adverb `also' in actual interaction at a level of detail that dictionary definitions have failed to capture. Using primarily a conversation analytic framework in examining two data corpora, which include a series of graduate seminar discussions and television roundtable discussions, I argue that the semantic features of `also' are strategically deployed to accomplish complex interactional goals in a disjunctive or disaffiliative environment. In a disjunctive environment, `also' can (...) be invoked to legitimize one's speaking rights - to get the floor. In a disaffiliative environment, `also' can be mobilized to either soften or strengthen a disaffiliative action in subsequent talk. These practices of `also' are accounted for in part by the tensions between coherence and continuation, and in part by the institutional contexts of news media and graduate seminar. (shrink)

Confucius is considered to be a great philosopher and educator in Chinese society and one of the greatest scholars ever in world history. He was the founder of Confucianism, which constitutes a major part of traditional Chinese culture and made tremendous contribution to the unfolding of Chinese civilization over the centuries. In this study, the authors have presented a comprehensive outline of Confucianism and have attempted to gauge the attitude of contemporary Chinese people towards Confucian concepts, values and attributes as (...) well as their influences on the social lives of present-day Chinese population. The Likert Scale was applied in the study to assess the attitude of the Chinese educated class belonging to the educational institutions like the universities in Beijing towards Confucianism. It was found from the survey that the Confucian concepts still wield substantial influence on the social outlook of the modern-day Chinese people and these attributes are still relevant in the day to day lives of the Chinese society. Philosophy and Progress, Vol#61-62; No#1-2; Jan-Dec 2017 P 109-132. (shrink)

Current methods of chaos-based action recognition in videos are limited to the artificial feature causing the low recognition accuracy. In this paper, we improve ChaosNet to the deep neural network and apply it to action recognition. First, we extend ChaosNet to deep ChaosNet for extracting action features. Then, we send the features to the low-level LSTM encoder and high-level LSTM encoder for obtaining low-level coding output and high-level coding results, respectively. The agent is a behavior recognizer for producing recognition results. (...) The manager is a hidden layer, responsible for giving behavioral segmentation targets at the high level. Our experiments are executed on two standard action datasets: UCF101 and HMDB51. The experimental results show that the proposed algorithm outperforms the state of the art. (shrink)

With the increasing scale of e-commerce, the complexity of image content makes commodity image classification face great challenges. Image feature extraction often determines the quality of the final classification results. At present, the image feature extraction part mainly includes the underlying visual feature and the intermediate semantic feature. The intermediate semantics of the image acts as a bridge between the underlying features and the advanced semantics of the image, which can make up for the semantic gap to a certain extent (...) and has strong robustness. As a typical intermediate semantic representation method, the bag-of-visual-words model has received extensive attention in image classification. However, the traditional BoVW model loses the location information of local features, and its local feature descriptors mainly focus on the texture shape information of local regions but lack the expression of color information. Therefore, in this paper, the improved bag-of-visual-words model is presented, which contains three aspects of improvement: multiscale local region extraction; local feature description by speeded up robust features and color vector angle histogram ; and diagonal concentric rectangular pattern. Experimental results show that the three aspects of improvement to the BoVW model are complementary, while compared with the traditional BoVW and the BoVW adopting SURF + SPM, the classification accuracy of the improved BoVW is increased by 3.60% and 2.33%, respectively. (shrink)

The research expects to explore the application of intelligent music recognition technology in music teaching. Based on the Long Short-Term Memory network knowledge, an algorithm model which can distinguish various music signals and generate various genres of music is designed and implemented. First, by analyzing the application of machine learning and deep learning in the field of music, the algorithm model is designed to realize the function of intelligent music generation, which provides a theoretical basis for relevant research. Then, by (...) selecting massive music data, the music style discrimination and generation model is tested. The experimental results show that when the number of hidden layers of the designed model is 4 and the number of neurons in each layer is 1,024, 512, 256, and 128, the training result difference of the model is the smallest. The classification accuracy of jazz, classical, rock, country, and disco music types can be more than 60% using the designed algorithm model. Among them, the classification effect of jazz schools is the best, which is 77.5%. Moreover, compared with the traditional algorithm, the frequency distribution of the music score generated by the designed algorithm is almost consistent with the spectrum of the original music. Therefore, the methods and models proposed can distinguish music signals and generate different music, and the discrimination accuracy of different music signals is higher, which is superior to the traditional restricted Boltzmann machine method. (shrink)

Longitudinal diagnostic classification models (DCMs) with hierarchical attributes can characterize learning trajectories in terms of the transition between attribute profiles for formative assessment. A longitudinal DCM for hierarchical attributes was proposed by imposing model constraints on the transition DCM. To facilitate the applications of longitudinal DCMs, this paper explored the critical topic of the Q-matrix design with a simulation study. The results suggest that including the transpose of the R-matrix in the Q-matrix improved the classification accuracy; ten-item tests measuring three (...) linear attributes across three time points provided satisfactory classification accuracy for low-stakes assessment. Educational implications and future directions were discussed. (shrink)

The starting point of the present study is the interpretation of intuitionistic linear logic in Petri nets proposed by U. Engberg and G. Winskel. We show that several categories of order algebras provide equivalent interpretations of this logic, and identify the category of the so called strongly coherent quantales arising in these interpretations. The equivalence of the interpretations is intimately related to the categorical facts that the aforementioned categories are connected with each other via adjunctions, and the compositions of the (...) connecting functors with co-domain the category of strongly coherent quantales are dense. In particular, each quantale canonically induces a Petri net, and this association gives rise to an adjunction between the category of quantales and a category whose objects are all Petri nets. (shrink)

This paper tries to investigate the future development tendency of five typical industries in China and find out whether there exists a different innovation strategy preference between Chinese firms of low- and high-knowledge density industry in the background of low-carbon sustainable development. First, this paper finds that the innovation driven-based trend of industrial development is further accelerated in China. Firms in industries with high knowledge and technology density, such as specialized-supplier, scale-intensive, and science-based industries, are more likely to choose exploratory (...) innovation strategy than exploitative innovation strategy. Firms in industries with low knowledge and technology density like service- and supplier-dominated industries are more likely to choose the exploitative innovation strategy. Second, results indicate that exploratory innovation can bring higher technological innovation performance than exploitative innovation. And the effect of the ambidextrous strategy is better than the single exploitative strategy in industries with high knowledge and technology density like specialized-supplier, scale-intensive, and science-based industries. Third, this paper suggests that innovation strategy preference plays a mediating role between industry type and technology innovation and a moderating effect of knowledge management capacity between innovation strategy and firms’ technology innovation. (shrink)

This paper deals with good fuzzy preorders on fuzzy power structures. It is shown that a fuzzy preorder R on an algebra ${(X,\mathbb{F})}$ is compatible if and only if it is Hoare good, if and only if it is Smyth good.

Multimodal neuroimaging provides a rich source of data for identifying brain regions associated with disease progression and aging. However, present studies still typically analyze modalities separately or aggregate voxel-wise measurements and analyses to the structural level, thus reducing statistical power. As a central example, previous works have used two quantitative MRI parameters—R2* and quantitative susceptibility —to study changes in iron associated with aging in healthy and multiple sclerosis subjects, but failed to simultaneously account for both. In this article, we propose (...) a unified framework that combines information from multiple imaging modalities and regularizes estimates for increased interpretability, generalizability, and stability. Our work focuses on joint region detection problems where overlap between effect supports across modalities is encouraged but not strictly enforced. To achieve this, we combine L1, total variation, and L2 group lasso penalties. While the TV penalty encourages geometric regularization by controlling estimate variability and support boundary geometry, the group lasso penalty accounts for similarities in the support between imaging modalities. We address the computational difficulty in this regularization scheme with an alternating direction method of multipliers optimizer. In a neuroimaging application, we compare our method against independent sparse and joint sparse models using a dataset of R2* and QS maps derived from MRI scans of 113 healthy controls: our method produces clinically-interpretable regions where specific iron changes are associated with healthy aging. Together with results across multiple simulation studies, we conclude that our approach identifies regions that are more strongly associated with the variable of interest, more accurate, and more stable with respect to training data variability. This work makes progress toward a stable and interpretable multimodal imaging analysis framework for studying disease-related changes in brain structure and can be extended for classification and disease prediction tasks. (shrink)

Inspired by Scarf, Zhao, Sandholm and Yang and Zhang, we introduce the model of coalitional population games with infinitely many pure strategies, and define the notions of NTU core and TU core for coalitional population games. We next prove the existence results for NTU cores and TU cores. Furthermore, as an extension of the NTU core, we introduce the notion of strong equilibria and prove the existence theorem of strong equilibria.

In this paper, we study the asymptotic behavior of solutions to the Kirchhoff type stochastic plate equation driven by additive noise defined on unbounded domains. We first prove the uniform estimates of solutions and then establish the existence and upper semicontinuity of random attractors.

Happiness can be regarded as an evaluation of life satisfaction. A high level of wellbeing can promote self-fulfillment and build a rational, peaceful, self-esteem, self-confidence, and positive social mentality. Therefore, the analysis of the factors of happiness is of great significance for the continuous improvement of the individual’s sense of security and gain and the realization of the maximization of self-worth. Emotion is not only an important internal factor that affects happiness, but it can also accurately reflect the individual’s happiness. (...) However, most of current happiness evaluation methods based on the emotional analysis belong to shallow learning paradigm, making the deep learning method unexploited for automatically happiness decoding. In this article, we analyzed the emotions of graduates during their employment and studied its influence on personal happiness at work. We proposed deep restricted Boltzmann machine for graduates’ happiness evaluation during employment. Furthermore, to mitigate the information loss when passing through many network layers, we introduced the skip connections to DRBM and proposed a deep residual RBM for enhancing the valuable information. We further introduced an attention mechanism to DRRBM to focus on the important factors. To verify the effectiveness of the proposed method on the happiness evaluation tasks, we conducted extensive experiments on the statistical data of the China Comprehensive Social Survey. Compared with the state-of-the-art methods, our method shows better performance, which proves the practicability and feasibility of our method for happiness evaluation. (shrink)