Quantitative study on the environmental impact of Beijing's urban rail transit based on carbon emission reduction.

Urban rail transit, as an efficient and eco-friendly mode of transportation, plays a pivotal role in mitigating traffic congestion and lowering urban carbon emissions. Despite the significant contributions by scholars in this area, debates surrounding the quantification of carbon emissions during the operational phase of urban rail transit persist, particularly in assessing its impact on reducing ground traffic congestion. This study examines the passenger flow during Beijing's morning and evening peak hours, assuming that all passengers initially using urban rail transit switch to buses and taxis during these periods.

Faces of different socio-cultural identities impact emotional meaning learning for L2 words.

This study investigated how exposure to Caucasian and Chinese faces influences native Mandarin-Chinese speakers' learning of emotional meanings for English L2 words. Participants were presented with English pseudowords repeatedly paired with either Caucasian faces or Chinese faces showing emotions of disgust, sadness, or neutrality as a control baseline. Participants' learning was evaluated through both within-modality (i.

Exploring the impact of parent-child contact, future orientation, and self-esteem on students' learning behavior: A mediation analysis.

Introduction: The interaction between parents and children is a crucial determinant of adolescents' learning behavior, future orientation, and self-esteem. Moreover, positive relationships between parents and students significantly enhance these factors, promoting better academic and personal development outcomes.

Objective: This study aims to investigate the effects of parent-child contact on learning behavior, with future orientation and self-esteem serving as mediating factors.

Number of translations and translation direction in masked translation priming: evidence from unbalanced English-Chinese bilinguals.

Within the research field of bilingual lexical representation and organization, much attention has been given to whether two languages share a conceptual system and what factors modulate the connection between this conceptual system and the lexical systems of a bilingual's L1 and L2. One of the most valid ways in the psycholinguistics domain to explore these doubts is to examine the masked translation priming effect and the priming asymmetry through cross-language priming experiments. In this study, a masked priming lexical decision task was conducted with unbalanced English-Chinese bilinguals to investigate whether the masked translation priming effect exists in both translation directions, and to further reveal how the number of translations, which can be categorized into one-translation pair and more-than-one-translation pair conditions, affects the priming effects and modulates translation priming asymmetry.

Meat-egg-dairy consumption and depressive symptoms among Chinese older adults: exploring rural/urban and gender disparities.

Introduction: This study examines the association between Meat, Egg, and Dairy (MED) product consumption and depressive symptoms among older adults in China, focusing on rural/urban and gender differences.

Methods: This study employed data from the latest wave (year 2018) of the Chinese Longitudinal Healthy Longevity Survey (CLHLS), and Ordinary Least Squares (OLS) models were applied to examine the association between MED consumption and depression levels.

Findings: The findings revealed a consistent negative relationship between MED consumption and depression, with higher MED intake associated with lower depression levels.

Visual insights into translation: demystifying trends of adopting eye-tracking techniques in translation studies.

Introduction: The increasing use of eye-tracking techniques in translation studies offers valuable insights into cognitive processes and behavioral strategies of translators, reflecting a significant trend within cognitive linguistics and translator training methodologies.

Methods: This review harnesses quantitative bibliometric analysis through Bibliometrix R-package with qualitative content assessment to evaluate the trajectory and thematic evolution of eye-tracking research in translation studies. Through a dataset from the Web of Science, 56 articles were analyzed, revealing distinct thematic dimensions and trend dynamics.

Affective Norms for German as a Second Language (ANGL2).

The present study introduces affective norms for a set of 880 German words rated by learners of German as a second language (L2), i.e., the Affective Norms for German as a Second Language (ANGL2).

An Efficient Weed Detection Method Using Latent Diffusion Transformer for Enhanced Agricultural Image Analysis and Mobile Deployment.

This paper presents an efficient weed detection method based on the latent diffusion transformer, aimed at enhancing the accuracy and applicability of agricultural image analysis. The experimental results demonstrate that the proposed model achieves a precision of 0.92, a recall of 0.

Religious Involvement, Education, and Subjective Well-Being Among Older Adults in Taiwan.

This study examines the relationship between religious involvement and subjective well-being among older adults in Taiwan, focusing on the moderating role of education. Analyzing data from a representative sample of older adults in Taichung, we found that religious participation was positively associated with happiness across the entire sample, regardless of education level. However, identifying as Catholic or other Christian was significant only among the highly educated.

Decoding the application of deep learning in neuroscience: a bibliometric analysis.

The application of deep learning in neuroscience holds unprecedented potential for unraveling the complex dynamics of the brain. Our bibliometric analysis, spanning from 2012 to 2023, delves into the integration of deep learning in neuroscience, shedding light on the evolutionary trends and identifying pivotal research hotspots. Through the examination of 421 articles, this study unveils a significant growth in interdisciplinary research, marked by the burgeoning application of deep learning techniques in understanding neural mechanisms and addressing neurological disorders.

Theory of affective pragmatics under biolinguistics.

This paper introduces a pioneering investigation into affective pragmatics through the perspective of Darwinian Biolinguistics, an interdisciplinary field at the nexus of biological and linguistic principles. Anchored in Darwin's theory of evolution and the latest developments in neurobiology, this study delves into the influence of biological factors---especially those pertaining to the brain's emotional processing on pragmatic communication. The research posits that human emotional responses, inherent in our biological constitution, profoundly influence the usage and interpretation of language in social interactions.

Injecting competition into online programming and Chinese- English translation classrooms.

The introduction of competition has the potential to enhance the efficacy of students' learning performance. Nevertheless, there have been contradictory findings about the impact of intergroup competition on students' learning performance and engagement. Therefore, further comprehensive investigations for this problem are necessary.

Multi-modal deep learning framework for damage detection in social media posts.

In crisis management, quickly identifying and helping affected individuals is key, especially when there is limited information about the survivors' conditions. Traditional emergency systems often face issues with reachability and handling large volumes of requests. Social media has become crucial in disaster response, providing important information and aiding in rescues when standard communication systems fail.

Fiscal expenditure efficiency of China's coal to clean heating policy.

Government subsidies are the backbone of the large-scale Coal to Clean Heating Policy launched in China in 2017. We analyze data from 27 pilot cities from 2017 to 2019. We use a slacks-based measure model with undesirable outputs to evaluate the optimal design of central and local government subsidies under the policy.

Coping, surviving, or thriving: A scoping review examining social support for migrant care workers through four theoretical lenses.

Rationale: Migrant care workers (MCWs) play a crucial role in addressing healthcare workforce shortages in many developed countries. Existing reviews document the significant challenges MCWs face-such as language barriers, interpersonal discrimination, and sexual harassment-and describe the social support that MCWs receive, but ambiguous application and heterogeneous measurement of theoretical constructs have thus far precluded researchers from deriving generalizable insights about how various types of social support positively and negatively impact MCWs' well-being. Therefore, we conducted a scoping review on this topic and organized the literature using four theoretical perspectives on social support.

Corrigendum: Music-evoked emotions classification using vision transformer in EEG signals.

[This corrects the article DOI: 10.3389/fpsyg.2024.

The bidirectional influence between emotional language and inhibitory control in Chinese: An ERP study.

The bidirectional influence between emotional language and inhibitory processes has been studied in alphabetic languages, highlighting the need for additional investigation in nonalphabetic languages to explore potential cross-linguistic differences. The present ERP study investigated the bidirectional influence in the context of Mandarin, a language with unique linguistic features and neural substrates. In Experiment 1, emotional adjectives preceded the Go/NoGo cue.

Analysis of the integrated role of the Yangtze River Delta based on the industrial economic resilience of cities during COVID-19.

The enhancement of regional comprehensive development ability is significantly impacted by the study on the implementation effect of regional integration strategies. The integration strategy's impact on urban development during COVID-19 in the Yangtze River Delta(YRD) is unclear. According to prior industrial transfer theory, Hefei, Anhui's capital, is difficult to transfer industries, and other YRD cities push industry integration in Anhui.

Unfolding the downloads of datasets: A multifaceted exploration of influencing factors.

Scientific data are essential to advancing scientific knowledge and are increasingly valued as scholarly output. Understanding what drives dataset downloads is crucial for their effective dissemination and reuse. Our study, analysing 55,473 datasets from 69 data repositories, identifies key factors driving dataset downloads, focusing on interpretability, reliability, and accessibility.

A multi-source heterogeneous medical data enhancement framework based on lakehouse.

Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of data is in need of quality improvement before being used to analyze the health condition of patients. There have been many researches in data extraction, data cleaning and data imputation, respectively.

Efficacy and safety of remimazolam versus propofol for intraoperative sedation during regional anesthesia: A phase II, multicenter, randomized, active-controlled, single-blind clinical trial.

This study aimed to evaluate the efficacy and safety of remimazolam for intraoperative sedation during regional anesthesia. It was a phase II-multicenter, randomized, single-blind, parallel-group, active-controlled clinical trial (No. ChiCTR2100054956).

"Curriculum-based or ideology-based": An action research on China's curriculum-based ideology and virtuous awareness education in second language writing teaching: An activity theory perspective.

This study addresses the prevalent challenges in curriculum-based ideology and virtuous awareness education specifically focusing on the issues of insufficient understanding and exploration of curriculum-based ideology and virtuous awareness elements by Chinese college teachers in the use of second language writing textbooks, as well as the monotonous teaching activities and content models. In response to these challenges, a two-cycle action research was conducted to integrate second language writing teaching into curriculum-based ideology and virtuous awareness education within the framework of Activity Theory. Through teacher observations, interviews, and reflections from both teachers and students, findings were found that: 1) teachers should pay attention to practicing the compilation principles and concepts of textbook compilers, and deeply explore the ideological and political elements of unit themes and contents according to their principles and concepts; 2) the construction of curriculum-based ideology and virtuous awareness community for similar courses, especially the construction of virtual community, is the urgent need for teachers, and is also an effective way to select ideological and political materials; 3) the construction of curriculum-based ideology and virtuous awareness courses should be implemented in all dimensions of professional teaching with planning, forming a systematic teaching mode of curriculum-based ideology and virtuous awareness courses.

An ERP study on the late stage of Chinese metaphor processing.

Psycholinguistic models of metaphor processing remain a subject of debate. A prime-probe design using Chinese materials with a specific time span (300 ms) was applied to test the mechanisms of metaphor processing. Conventional and familiarized metaphors were designed as primes, followed by a probe word semantically related to the prime metaphor (MT), a probe word related to the literal meaning of the final word of the prime metaphor (LT), control/unrelated probe word (UT), or non-word.