Leveraging learning forces in asymmetric alliances: Small firms’ perceived power imbalance in driving exploration and exploitation

Prior studies on power and interfirm learning in alliances have devoted limited attention to multiplicate influences of diverse power sources on exploration and exploitation and whether such influences on these two strategies are similar or different. This study investigates the joint effects of two types of perceived power—capability-driven power and position-driven power—on exploration versus exploitation in asymmetric alliances. Using a sample of 205 high-technology firms in China, the analyses suggest that each of the two types of perceived power separately has no direct effects on either exploration or exploitation. However, they complement (multiplicative effects) each other in promoting exploitation and exploration. Interestingly, the balanced effect of perceived position-driven power and perceived capability-driven power is positively related to exploration, while no such an impact is found in terms of exploitation. This study provides alternative insights about inter-organizational learning in asymmetric alliances and points out a direction for future research

Construction and Application Practice of the Digital Platform for Red Education of the Young Pioneers of China

The survey found that there is a shortage of red education and extracurricular reading among Chinese primary school students, who play video games and watch cartoons more than watch red inspirational books and movies outside of class, and lack ambitious ideals and learning motivation. To improve this situation, the research group built a digital platform for red education for Chinese children and youth and conducted a one-semester after-school reading comparison experiment among 427 elementary school students in Hangzhou LX Primary School. The post-experimental measurement found that the students in the experimental group enjoyed the “read red books + watch red movies” activity for one hour a day, and their reading time and quantity of red books/films increased significantly, their time spent playing video games and watching cartoons decreased by 46% per day, and their knowledge of Chinese revolutionary history and socialist core values, patriotic consciousness, ideal beliefs, and enthusiasm for learning also improved. Their knowledge of Chinese revolutionary history and core socialist values, patriotic consciousness, ideal beliefs, and enthusiasm for learning have also been greatly improved, and their total scores in the final exams of four courses, namely Chinese, mathematics, moral character, and English, have increased by 12% compared with those before the experiment. In contrast, in the control group, which did not carry out the reading activity and maintained the original learning and living condition, the above post-test indicators did not change significantly from the pre-test. Therefore, the experiment shows that this digital reading model has a positive effect on the cultivation of qualified communist successors, and provides experience and reference for the cultivation and education of Chinese elementary school students

Quantum phase transitional patterns in the SD-pair shell model

Patterns of shape-phase transition in the proton-neutron coupled systems are studied within the $SD$-pair shell model. The results show that some transitional patterns in the $SD$-pair shell model are similar to the $U(5)-SU(3)$, $U(5)-SO(6)$ transitions with signatures of the critical point symmetry of the interacting boson model.Comment: 13 pages, 7 figure

An Application Study on AI Educational Robots in Spoken English Exercises of Chinese Primary Schools

China’s primary schools offer limited English courses, and the society lacks the environment for naturally acquiring English in everyday life. Students typically have weak spoken English abilities and inadequate application of English. With the aim of addressing this issue, 79 fifth-graders from China’s Hangzhou L elementary school participated in a one-semester AI-assisted English-speaking practice experiment. The control class practiced spoken English by reading English texts aloud, whereas the experimental class practiced for 30 minutes a day using the “AI educational robots + graded picture books + role play” approach. According to the results of the experiment’s post-test, Chinese primary school students regarded the experimental class’s acquisition mode to be highly appealing, this approach was well accepted by both students and parents and brought enthusiasm and good effect of spoken English exercise. The experimental class’s average daily reading time for English role-play reading grew by about 30 minutes, the amount of reading increased by five times, the amount of time spent watching cartoons and playing video games fell by nearly 28 minutes, and the spoken English score climbed by 37 points, representing an increase of 82% when compared to the control class; Additionally, the standard level of pronunciation and intonation has increased by two grades, from “poor” to “good,” and the English final exam scores have increased by roughly 8%. However, there has not been a considerable change in the aforementioned control class indicators. This AI-assisted second language practice technique is affordable, efficient, and helpful and has good implications for second language acquisition in other countries

A close look at U (5) ↔ SU (3) transitional patterns in the interacting boson model

We study transitional patterns from the vibrational, U (5), to the rotational, SU (3), limit of the interacting boson model with a schematic Hamiltonian. The transitional behavior of low-lying energy levels, isomer shifts, E2 transition rates, and some other related quantities across the entire U (5) ↔ SU (3) transitional region are studied in detail. The analysis shows that nuclei in the critical region are soft. © 2003 Published by Elsevier B.V

Exploration on the Training Mode of Computer Professionals Based on the Concept of “New Engineering”

With the national industrial upgrading and technological innovation in recent years, the construction industry is leading in the direction of informatization, industrialization, intelligence and international integration, which puts forward new requirements for the current traditional mode of computer talent training. The innovation of talent training mode, the improvement of education and teaching, the improvement of education resources and so on have become the urgent problems of new engineering computer professional talent training Absolutely. This paper analyzes the current situation of "new engineering" talent demand and training, points out the shortcomings of the current computer talent training in the teaching concept, teaching mode, teachers and so on, and explores the new engineering computer talent training mode. And take the practice of Henan University School of civil engineering and architecture in the new engineering personnel training as an example, hope to have a certain reference significance for the new engineering computer professional personnel training. Keywords: new engineering; computer; interdisciplinary training; subject integration DOI: 10.7176/JEP/12-8-03 Publication date:March 31st 202

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

In this paper, we consider a real-world scenario where a model that is trained on pre-defined classes continually encounters unlabeled data that contains both known and novel classes. The goal is to continually discover novel classes while maintaining the performance in known classes. We name the setting Continual Generalized Category Discovery (C-GCD). Existing methods for novel class discovery cannot directly handle the C-GCD setting due to some unrealistic assumptions, such as the unlabeled data only containing novel classes. Furthermore, they fail to discover novel classes in a continual fashion. In this work, we lift all these assumptions and propose an approach, called MetaGCD, to learn how to incrementally discover with less forgetting. Our proposed method uses a meta-learning framework and leverages the offline labeled data to simulate the testing incremental learning process. A meta-objective is defined to revolve around two conflicting learning objectives to achieve novel class discovery without forgetting. Furthermore, a soft neighborhood-based contrastive network is proposed to discriminate uncorrelated images while attracting correlated images. We build strong baselines and conduct extensive experiments on three widely used benchmarks to demonstrate the superiority of our method.Comment: This paper has been accepted by ICCV202

The effect of explicit and tacit synergies on alliances radical innovation: The moderating roles of interfirm technological diversity and environmental technological dynamism

This study draws on theories of organizational inertia and relational view to examine how the pursuit of partnership synergy influences radical innovation in different technological contexts. We differentiate between two types of synergy: explicit synergy, defined as the potential to exchange interfirm operational elements to renew processes or capabilities, and tacit synergy, conceptualized as the potential to synthesize cross-boundary resources to develop new perspectives or thinking modes. We find that both explicit and tacit synergy have positive impacts on radical innovation, and such impacts are contingent on interfirm technological diversity and environmental technological dynamism in opposing ways. Specifically, environmental technological dynamism positively moderates the relationship between explicit synergy and radical innovation but not the relationship between tacit synergy and radical innovation. In contrast, interfirm technological divers ity positively moderates the relationship between tacit synergy and radical innovation but not the relationship between explicit synergy and radical innovation. Our study sheds new light on the generation of radical innovation in alliances. It also provides practitioners with useful guidelines for crafting synergy strategies that will facilitate the pursuit of radical innovation