This study reports an investigative study of individual differences in personality, motivation, challenges, learning styles and strategies, needs and 55 non-English-majors’ engagement in business ...English language classrooms in a Chinese university, using two-stage surveys. The study finds positive affective factors in personality and motivation, though participants experienced challenges in learning business English vocabulary and improving English skills. Participants used different learning strategies and styles, and required varied helpful strategies for enhancing business English teaching and learning. Participants had high levels of cognitive engagement, behavioral engagement, emotional engagement, enjoyment, focus, and task familiarity in business English learning. Though participants still encountered problems, they reported learning gains in business English vocabulary expansion, improvement in business writing, workplace communication, business knowledge and culture, business reading, problem solving, listening, interest in English and critical thinking skills. This study is providing empirical evidence of individual differences with China’s non-English-major learners in business English learning and how the individual differences relate with engagement and learning outcomes. The study also implies for practice that business English teachers should adapt their teaching approach and strategies to accommodate to individual differences.
This study reports on an investigate study about using simulation in business English teaching with 66 English-major advanced learners, using two-stage surveys. This study addresses the three ...research questions focusing on the needs and challenges, effectiveness and learning outcomes and suggestions for improvement of simulation in business English teaching. The study found that participants most favored employment related simulation and workplace scenarios. They preferred both Chinese and global corporate simulation cases, as well as unique industrial and familiar cases. The lack of language skills, knowledge, thinking skills, practice skills, and mentality could be the challenges for simulation. The majority of the participants agreed that simulation activities were effective and had positive impact. Through simulation, participants could acquire writing skills, corporate and business knowledge, and business vocabulary knowledge. Participants were concerned about the simulation process and the roles to play. Lack of adequate language, knowledge, experience, and social skills, inappropriate grouping and timing could be unproductive factors for simulation. On the other hand, more interactions, presentation, expanded language and knowledge, and linking with practice could be facilitating factors for simulation. For improvement, participants suggested adding more case content and context, having longer preparation time and better grouping, as well as clearer simulation instructions. This study provides empirical evidences for refining the simulation approach in business English courses from China’s English majors’ perspectives. The study has important implications for business English simulation teaching design and implementations in both Chinese and international contexts.
Plain Language Summary
This study reports an investigation about using simulation approach in business English teaching with 66 English-major undergraduates, based on surveys administered in two stages. This study covers their needs and challenges, effectiveness and learning achievements. It also provides suggestions to improve simulation in business English teaching. The study reveals that English-majors preferred simulation relevant to workplace situations. They also liked Chinese and international simulation cases. The fact that they did not have enough language skills, knowledge, thinking skills, practice skills and mentality could bring challenges. Most of the participants considered the simulation approach as effective and brought positive influence. Simulation could bring improvement in language skills and knowledge. Participants considered simulation process and the roles in to play as important. Lack of adequate language, knowledge, experience and social skills, inappropriate grouping and timing could be constraints factors for simulation. The contributing factors included more interactions, presentation, expanded language and knowledge, and linking with practice. To improve simulation approach, participants’ suggestions included more case content and context, having longer preparation time and better grouping, as well as clearer simulation instructions. This study offers first-hand data support for further developing the simulation approach in business English teaching, which could benefit teachers and researchers in both Chinese and international contexts.
Exploring the evolution of translation of contemporary Chinese literature better presents Chinese literary charm to foreign readers. This paper starts with the Kalman filter algorithm and introduces ...its cost function that satisfies the error minimization and the Kalman filter gain. Then the BP neural network is illustrated, its minimization of mean square error is solved using the backpropagation algorithm, and the momentum factor is introduced to update the weight function of the BP neural network. The correlation between the Kalman gain and the filtering error is fitted using BP neural network to optimize the Kalman filtering algorithm, and the algorithm flow chart of the BP-KF algorithm is given. Finally, the BP-KF algorithm is used to analyze the data on the evolution of translation strategies and translation dissemination channels of contemporary Chinese literature on the Internet. From the evolution of the translation strategy, the number of translated works of additive French literature decreased by 5.28% year-on-year from 2016 to 2020, and the number of translated works of annotated French literature increased by nearly 11 times year-on-year from 2016 to 2020. In terms of the evolution of the translation and dissemination channels, the percentage of using the Internet to disseminate literary translation and mediation works reviews increased from 16.29% in 2017 to 41.65% in 2021, an increase of 25.36 percentage points. Based on the BP-KF algorithm, the evolution of translation of contemporary Chinese literature can be effectively analyzed, and the data can visually show the direction of the evolution of literary translation, thus expanding the influence of contemporary Chinese literature.
Bibliometric analysis of acknowledgment has been expanding and has aroused the intense interest of academia. However, there is no scientific proof of the relationship between the academic performance ...of the acknowledgees and the acknowledged paper impact or the frequency of being acknowledged. Further, the disambiguation of the acknowledgees has rarely been discussed. In this study, 1,251,714 full-text papers from PubMed Central were collected, and We collected 82,367 acknowledgees with name and affiliation information from the acknowledgment section of these papers to obtain the possible Scopus author ID (candidate acknowledgee). In addition, 5692 acknowledgees were matched in the Scopus dataset to collect author performance indicators. Further, 1101 acknowledgees required name disambiguation because they had the same author name and affiliation name. Afterward, we identified 399 acknowledgees by considering the entities in the comments and references between the source-paper authors and acknowledgees. Additionally, we evaluated the correlation between the paper citation count and the acknowledgee performance indicators. The result shows that academic performance indicators positively correlate with the source paper citation count. However, there is an extremely weak correlation between academic performance indicators and acknowledgement frequency. Moreover, except for coauthor count, the h-index, citation count, and cited by count all show uptrends as the frequency of being acknowledged increases when depicting the distribution of the above-average values of academic performance indicator.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
As an important part of business English practice teaching, this study explores the design and implementation of business negotiation simulation in a Chinese university context with 77 English-major ...participants, using online surveys and written document analyses. The English-major participants were satisfied with the approach used in the design of the business negotiation simulation, which mostly used real-world cases in the international context. The participants considered teamwork and group cooperation to be their most improved skills, along with other soft skills and practice abilities. Most of the participants reported that the business negotiation simulation directly reflected the real-world scenarios. Most of the participants ranked the negotiation process as the best sessions, followed up by preparation, group cooperation and discussion. Regarding areas of improvement, the participants needed more rehearsal and practice, more examples of negotiation, more guidance from the teacher on case selection and grouping, feedback from the teacher and the incorporation of simulation activities in offline classroom teaching settings.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Variational quantum eigensolver (VQE) is a promising method for ground-state calculations on current noisy intermediate-scale quantum computers. However, the research progress of excited-state ...calculations on quantum computers is relatively slow. In order to extend the framework of VQE for excited-state calculations, we propose a new algorithm, orthogonal state reduction variational eigensolver (OSRVE), to determine the energies of excited states. Theoretical derivations prove that the optimized state in the OSRVE method can ensure the energy minimum and orthogonality constraint simultaneously, and OSRVE is also applicable for the degenerate state. The performance of OSRVE is demonstrated by numerical calculations of the H4 and H2O molecules. Compared with other excited-state calculation algorithms, OSRVE has obvious advantages in calculating lower-order excited states. This work extends the VQE algorithm to excited-state calculations, and OSRVE can be implemented on near-term quantum computers.
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IJS, KILJ, NUK, PNG, UL, UM
Abstract
Xikuangshan (XKS) is the world's largest antimony mining region, and its exploitation for hundreds of years has also resulted in serious soil erosion, fragile ecology, contaminated water, ...and shortage water. Through systematic and scientific collection samples from the rivers in XKS, the Nemerow index (NI), modified heavy metal pollution index (m-HPI), ecological risk index, and health risk indexeswere used to evaluate and analyze the water quality, pollution levels and risks of heavy metals (Sb, As, Mn, Pb, Zn, Hg, Cd) to ecology and humans in XKS. The results showed that the average concentrations of TN, TP, Sb, As and Hg in surface water were 0.48 mg/L (0–4.34 mg/L), 2.58 mg/L (0–4.34 mg/L), 1.05 mg/L (0.0009–5.33 mg/L), 1.06 mg/L (BDL–19.60 mg/L) and 0.00084 mg/L (LDBL–0.0036 mg/L), respectively, exceeding the limits of the Chinese surface water quality standards. Based on the m-HPI method, only 8.57% of the sampling points are classified as the worst water quality. However, according to the NI method, about 7.14% and 87.16% of the sampling points in the study area are moderately and severely polluted, respectively. The results of heavy metal pollution based on the NI evaluation is were more serious than that on the m-HPI method. The values of ecological risk assessment varied from 22.69 to 7351.20, revealed that heavy metals pose a very serious risk to the surface water ecosystem at more than 50% of the sampling sites, and Sb and As are the main pollutants, followed by Hg. The total non-carcinogenic risk index (TCR) for adults and children were 47.70 and 90.10 respectively, Sb and As is the main non-carcinogenic risk factor. For adults and children, the average carcinogenic risk (CR) of As was 6.49 × 10
–3
and 1.05 × 10
–2
, respectively, and exceeded the threshold of 1 × 10–
4
, indicating a high carcinogenic risk.
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IZUM, KILJ, NUK, PILJ, PNG, SAZU, UL, UM, UPUK
Being a significant repository of Buddhist imagery, Thangka images are valuable historical materials of Tibetan studies, which covers many domains such as Tibetan history, politics, culture, social ...life and even traditional medicine and astronomy. Thangka cultural element images are the essence of Thangka images. Hence, Thangka cultural element images classification is one of the most important works of knowledge representation and mining in the field of Thangka and is the foundation of digital protection of Thangka images. However, due to the limited quantity, high complexity and the intricate textures of Thangka images, the classification of Thangka images is limited to a small number of categories and coarse granularity. Thus, a novel fusion texture feature dual-branch Thangka cultural elements classification model based on the attention mechanism and self-supervised contrastive learning has been proposed in this paper. Specifically, to address the issue of insufficient labeled samples and improve the classification performance, this method utilizes a large amount of unlabeled irrelevant data to pre-train the feature extractor through self-supervised learning. During the fine-tuning stage of the downstream task, a dual-branch feature extraction structure incorporating texture features has been designed, and MS Triplet Attention proposed by us is used for the integration of important features. Additionally, to address the problem of sample imbalance and the existence of a large number of difficult samples in the Thangka cultural element dataset, the Gradient Harmonizing Mechanism Loss has been adopted, and it has been improved by introducing a self-designed adaptive mechanism. The experimental results on Thangka cultural elements dataset prove the superiority of the proposed method over the state-of-the-art methods. The source code of our proposed algorithm and the related datasets is available at
https://github.com/WiniTang/MS-BiCLR
.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Abstract Thermally activated delayed fluorescence (TADF) nanoparticles are used importantly in time‐resolved luminescence imaging for eliminating the background signals from scattering and ...short‐lived autofluorescence. However, TADF nanoparticles are seldom used for real‐time time‐resolved luminescence imaging, due to their limited luminescence efficiency and lifetimes. To detect delayed fluorescence, multiple excitation cycles with adequate delay times are usually required, leading to long detecting durations and low imaging speed. Herein, highly efficient red TADF nanoparticles are developed through doping a guest molecule, TPAAQ (2,6‐bis4‐(diphenylamino) phenyl anthraquinone), in a host (4,4′‐bis(carbazol‐9‐yl)biphenyl, CBP) matrix. With a low doping concentration, the nanoparticles can exhibit obvious TADF with luminescence lifetimes over 0.1 ms and photoluminescence quantum yield up to 35%. A cell‐penetrating peptide is used together with the amphiphilic compound for assembling nanoparticles, which can easily penetrate cells and greatly increase the TADF signals for luminescence lifetime imaging. Thanks to the long‐lived and highly efficient TADF, real‐time in vivo time‐gated luminescence imaging of zebrafish is realized on a chopper‐based wide‐field microscope. This low‐cost time‐resolved luminescence imaging method showed a great potential for real‐time detection of life activities in many organisms with high autofluorescence.
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BFBNIB, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SBCE, SBMB, UL, UM, UPUK
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