bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of Health Care Work With Anxiety and Depression During the COVID-19 Pandemic: Structural Topic Modeling Study
Authors: Malgaroli Matteo , Tseng Emily , Hull Thomas D , Jennings Emma , Choudhury Tanzeem K , Simon Naomi M 
Published: September 2023

Background
Stressors for health care workers (HCWs) during the COVID-19 pandemic have been manifold, with high levels of depression and anxiety alongside gaps in care. Identifying the factors most tied to HCWs’ psychological challenges is crucial to addressing HCWs’ mental health needs effectively, now and for future large-scale events.

Objective
In this study, we used natural language processing methods to examine deidentified psychotherapy transcripts from telemedicine treatment during the initial wave of COVID-19 in the United States. Psychotherapy was delivered by licensed therapists while HCWs were managing increased clinical demands and elevated hospitalization rates, in addition to population-level social distancing measures and infection risks. Our goal was to identify specific concerns emerging in treatment for HCWs and to compare differences with matched non-HCW patients from the general population.

Methods
We conducted a case-control study with a sample of 820 HCWs and 820 non-HCW matched controls who received digitally delivered psychotherapy in 49 US states in the spring of 2020 during the first US wave of the COVID-19 pandemic. Depression was measured during the initial assessment using the Patient Health Questionnaire-9, and anxiety was measured using the General Anxiety Disorder-7 questionnaire. Structural topic models (STMs) were used to determine treatment topics from deidentified transcripts from the first 3 weeks of treatment. STM effect estimators were also used to examine topic prevalence in patients with moderate to severe anxiety and depression.

Results
The median treatment enrollment date was April 15, 2020 (IQR March 31 to April 27, 2020) for HCWs and April 19, 2020 (IQR April 5 to April 27, 2020) for matched controls. STM analysis of deidentified transcripts identified 4 treatment topics centered on health care and 5 on mental health for HCWs. For controls, 3 STM topics on pandemic-related disruptions and 5 on mental health were identified. Several STM treatment topics were significantly associated with moderate to severe anxiety and depression, including working on the hospital unit (topic prevalence 0.035, 95% CI 0.022-0.048; P<.001), mood disturbances (prevalence 0.014, 95% CI 0.002-0.026; P=.03), and sleep disturbances (prevalence 0.016, 95% CI 0.002-0.030; P=.02). No significant associations emerged between pandemic-related topics and moderate to severe anxiety and depression for non-HCW controls.

Conclusions
The study provides large-scale quantitative evidence that during the initial wave of the COVID-19 pandemic, HCWs faced unique work-related challenges and stressors associated with anxiety and depression, which required dedicated treatment efforts. The study further demonstrates how natural language processing methods have the potential to surface clinically relevant markers of distress while preserving patient privacy.
Corpus-Based Discourse Analysis of a Reddit Community of Users of Crystal Methamphetamine: Mixed Methods Study
Authors: Lustig Andrew , Brookes Gavin 
Published: September 2023

BackgroundMethamphetamine is a highly addictive stimulant that affects the central nervous system. Crystal methamphetamine is a form of the drug resembling glass fragments or shiny bluish-white rocks that can be taken through smoking, swallowing, snorting, or injecting the powder once it has been dissolved in water or alcohol.ObjectiveThe objective of this study is to examine how identities are socially (discursively) constructed by people who use methamphetamine within a subreddit for people who regularly use crystal meth.MethodsUsing a mixed methods approach, we analyzed 1000 threads (318,422 words) from a subreddit for regular crystal meth users. The qualitative component of the analysis used concordancing and corpus-based discourse analysis to identify discursive themes informed by assemblage theory. The quantitative portion of the analysis used corpus linguistic techniques including keyword analysis to identify words occurring with statistically marked frequency in the corpus and collocation analysis to analyze their discursive context.ResultsOur findings reveal that the subreddit contributors use a rich and varied lexicon to describe crystal meth and other substances, ranging from a neuroscientific register (eg, methamphetamine and dopamine) to informal vernacular (eg, meth, dope, and fent) and commercial appellations (eg, Adderall and Seroquel). They also use linguistic resources to construct symbolic boundaries between different types of methamphetamine users, differentiating between the esteemed category of “functional addicts” and relegating others to the stigmatized category of “tweakers.” In addition, contributors contest the dominant view that methamphetamine use inevitably leads to psychosis, arguing instead for a more nuanced understanding that considers the interplay of factors such as sleep deprivation, poor nutrition, and neglected hygiene.ConclusionsThe subreddit contributors’ discourse offers a “set and setting” perspective, which provides a fresh viewpoint on drug-induced psychosis and can guide future harm reduction strategies and research. In contrast to this view, many previous studies overlook the real-world complexities of methamphetamine use, perhaps due to the use of controlled experimental settings. Actual drug use, intoxication, and addiction are complex, multifaceted, and elusive phenomena that defy straightforward characterization.
Comparative Cardiovascular Effectiveness and Safety of SGLT-2 Inhibitors, GLP-1 Receptor Agonists, and DPP-4 Inhibitors According to Frailty in Type 2 Diabetes
Authors: Kutz Alexander , Kim Dae Hyun , Wexler Deborah J. , Liu Jun , Schneeweiss Sebastian , Glynn Robert J. , Patorno Elisabetta 
Published: September 2023

OBJECTIVE
To evaluate the comparative cardiovascular effectiveness and safety of sodium–glucose cotransporter 2 inhibitors (SGLT-2is), glucagon-like peptide 1 receptor agonists (GLP-1RAs), and dipeptidyl peptidase 4 inhibitors (DPP-4is) in older adults with type 2 diabetes (T2D) across different frailty strata.

RESEARCH DESIGN AND METHODS
We performed three 1:1 propensity score–matched cohort studies, each stratified by three frailty strata, using data from Medicare beneficiaries (2013–2019) with T2D who initiated SGLT-2is, GLP-1RAs, or DPP-4is. In time-to-event analyses, we assessed the primary cardiovascular effectiveness composite outcome of acute myocardial infarction, ischemic stroke, hospitalization for heart failure, and all-cause mortality. The primary safety outcome was a composite of severe adverse events that have been linked to SGLT-2i or GLP-1RA use.

RESULTS
Compared with DPP-4is, the overall hazard ratio (HR) for the primary effectiveness outcome associated with SGLT-2is (n = 120,202 matched pairs) was 0.72 (95% CI 0.69–0.75), corresponding to an incidence rate difference (IRD) of −13.35 (95% CI −15.06 to −11.64). IRD ranged from −6.74 (95% CI −8.61 to −4.87) in nonfrail to −27.24 (95% CI −41.64 to −12.84) in frail people (P for interaction &lt; 0.01). Consistent benefits were observed for GLP-1RAs compared with DPP-4is (n = 113,864), with an overall HR of 0.74 (95% CI 0.71–0.77) and an IRD of −15.49 (95% CI −17.46 to −13.52). IRD in the lowest frailty stratum was −7.02 (95% CI −9.23 to −4.81) and −25.88 (95% CI −38.30 to −13.46) in the highest (P for interaction &lt; 0.01). Results for SGLT-2is versus GLP-1RAs (n = 89,865) were comparable. Severe adverse events were not more frequent with SGLT-2is or GLP-1RAs than DPP-4is.

CONCLUSIONS
SGLT-2is and GLP-1RAs safely improved cardiovascular outcomes and all-cause mortality, with the largest absolute benefits among frail people.
VAR model-based values education for adolescents and the role of WeChat in it
Authors: Xu Wei 
Published: September 2023

Abstract
The adolescent group is at the critical stage of forming ideological values. The individual’s outlook on life, deals, and worldview are gradually maturing at this stage, which must be correctly guided and scientifically educated. To maximize the role of values education for adolescents and youths and to help them develop an optimistic worldview, outlook on life, and values, we need to find the starting point of values education for adolescents. This paper attempts to establish a VAR model of the relationship between values formation and WeChat use among high school students in a city and explore the dynamic influence relationship between the two by using impulse response function and variance decomposition to get a precise result to verify the relationship, to provide some reference for values education of Chinese adolescents. It was found that with the establishment of non-traditional school papers and meeting notification channels such as school WeChat groups, adolescent students’ WeChat response rate was much faster than the standard notification response rate when teaching tasks were issued. The WeChat response rate continued to accelerate as time changed from 4~5 hours of processing time in 2015 to 0.3~0.5 hours in 2021. Teaching completion efficiency thus The efficiency of teaching completion is improved as a result. After the smoothness verification of the ADF variables, the three-time series variables of classroom education, values education, and the length of WeChat use were smooth at the 10% significance level, indicating that the relationship between the three is interrelated and the findings are credible. This further supports that using WeChat well for school education and student values calibration is reasonable and feasible.
Implementation and Assurance Model Construction of Financial BPO Cost Control under Cloud Computing Platform
Authors: Yu Yan 
Published: September 2023

Abstract
Relying on their low-cost comparative advantage, Chinese enterprises have rapidly integrated into the global industrial division of the labor system, entering the fast lane of development and becoming an important driving force behind China’s rapid economic growth. Furthermore, in recent years, this situation is changing. The cost of financing for Chinese companies has been rising yearly, a trend that has become increasingly evident, especially after the new crown epidemic. Investment growth in China’s capital markets has declined, the market has seen back-to-back years of decline, and competition has become more intense. It is imperative that enterprises need to strengthen their financial cost control management to enhance their competitiveness in the market by improving cost management. Cloud computing is a new model that relies on the Internet, with a certain amount of network storage space, scalability, and fast scaling. The development of cloud computing provides new ideas for target BPO cost management. With cloud computing, target BPO cost management becomes easier, making it a market-oriented cost control strategy for enterprises, especially those in a competitive market environment. Target BPO cost management can cover the whole process from financing to revenue through the decomposition and control of cost control objectives in various aspects. The ultimate effect is to improve the cost management level and enhance enterprise management’s efficiency. Based on the theories related to target BPO cost management at home and abroad, this paper takes 6201 listed companies in China as the object of research on cost control. The three hypotheses that financial BPO cost mitigates the company’s financial risk, financial BPO control reduces the company’s financial cost and improves the revenue of listed companies are verified by establishing a financial cost mediation effect model through nine variable control indicators. The research results show that the regression coefficient of BPO cost control construction on the revenue input of listed companies is 0.67, which obviously and effectively improves the company’s revenue ( Rd ) 13.21%; the regression coefficient of BPO cost control on financial risk (Fi) is -0.55, which reduces the financial risk of listed companies by 25.6%; the research demonstrates the necessity and feasibility of applying target BPO financial cost management for listed companies The study demonstrated the necessity and feasibility of applying target BPO financial cost management to listed companies, guaranteed the implementation of the target BPO cost management method to the ground, put forward relevant safeguard measures and suggestions for possible problems in the current application of target cost management, fundamentally solved the problem of enterprise financial cost control, and at the same time provided a guiding reference for the application of target BPO cost management in SMEs.
Designing the presentation of Dunhuang fresco art based on perceptron technology in the context of artificial intelligence
Authors: Zhu Peng , Chung Won-jun 
Published: September 2023

Abstract
In recent years, the development of artificial intelligence has led to the growing influence of new media on society. The creators of digital images no longer play the role of exporters of art and culture but gradually delegate power to the audience, who are no longer passive recipients of information but are more involved in the interactive experience of video works, better engaged in the background of artworks and the emotional exchange of art and culture that occurs with artworks. Dunhuang murals, as a representative of the excellent traditional Chinese culture, have formed a wide range of cultural expressions with the help of new media technologies with different characteristics, effectively attracting audiences to participate in dissemination activities such as knowledge learning, cultural experience, and artistic exchange of Dunhuang culture. This paper provides an overview of interactive perceptual video design methods, the impact of interactive perceptual design on the narrative line of the video, and the features of the interactive perceptual invention, such as immersion, immersion, and fun. Firstly, a comparative analysis of interactive perceptual image design cases is conducted to summarize the differences between interactive perceptual image design and traditional images and outline the advantages of the former. Finally, a complete augmented reality display work is formed through the organic combination of the interactive perceptual design in three dimensions: user experience, visual guidance, and content narrative. The results of this paper show that 80% of the 120 people believe that the interactive perceptual presentation has made Dunhuang murals more vivid and exciting; 91% believe that the production of Dunhuang murals with perceptual machine technology gives visitors an immersive experience; among them, it is found through the research that visitors are 85% satisfied with this design, which exceeds the expected guesses. This paper, as a new exploration of future cases of digital communication of cultural heritage based on enhanced interactive perception technology, also argues the feasibility and effectiveness of its design in terms of results and provides new ideas for the communication of traditional culture.
Speech recognition-based packaging design techniques and graphic design
Authors: Fan Wenhua 
Published: September 2023

Abstract
Using speech recognition for packaging design is an effective way to enhance designers’ creative inspiration. Based on speech recognition technology, this paper constructs a speech recognition model with speech pre-emphasis, Hamming window split-frame plus window, and MFCC feature parameters and evaluates and analyzes the model. Then, the package design techniques and the functions of package graphics are explained in detail, and the quantitative analysis of data from package design techniques and package graphics design is carried out using the speech recognition model. The speech recognition model can recognize sixteen package design techniques in package design techniques, and the maximum and minimum recognition rates are 33.53% and 18.6%, respectively. The speech recognition model can recognize thirteen packaging graphic design keywords in packaging graphic design, with maximum and minimum recognition rates of 40.51% and 23.88%, respectively. Based on the speech recognition model, various packaging design techniques can be effectively recognized, which is conducive to enhancing designers’ inspiration in creating product packaging and promoting more innovative product packaging graphics.
Barriers to Renewable Energy Share of the Grid in the Context of Big Data and Countermeasures
Authors: Cai Hao , Tang Jing , Feng Fei 
Published: September 2023

Abstract
China is moving forward, but it pays much attention to data analysis of infinite resource circulation. Therefore, this paper investigates the time-domain convolutional calculation method of deep learning and recurrent calculation method of deep learning and uses them to study and analyze the obstacles and countermeasures for the share of renewable energy in our country’s right grid. Then, the passing situation of renewable energy in China is analyzed. Information related to China’s advancement and utilization of inexhaustible resources from 2010 to 2020. From the analysis of the gathered information, it is unequivocal that the scale and share of inexhaustible resources of ancestors in our country’s rights are gradually increasing. Space occupancy in recent 3 years of inexhaustible resources generation in our country will be more than 133 million kilowatts, and the proportion is about 70% of our country’s right power supply; the solar power generation capacity will increase from almost nothing to 261.1 billion kilowatt-hours in 2020 from less than 300 million kilowatt-hours in 2010, which is nearly exponential growth. Finally, this paper combines the existing features of renewable energy in China, puts forward the problems and challenges encountered in the advancement of inexhaustible resources, and gives countermeasures that can be strengthened the utilization rate of renewable energy in the power grid.
Theoretical Innovation of English Teaching Methodology Based on Continuous Discretization Method
Authors: Zhong Xuewen 
Published: September 2023

Abstract
In the new era, English teaching methods urgently need to be innovated to meet modernization needs. In this paper, we study English teaching based on the continuous discretization method, build a framework of discretization process based on the theoretical foundation of discretization, implement continuous attribute discretization using the rough set method according to the characteristics of English teaching data, and further reduce the classification error by using variable precision rough set to address the limitations of the general rough set. Then, the continuous discretization method based on variable-precision rough sets is used to study the key influencing factors of English teaching outcomes and propose targeted innovative teaching methods. In teaching practice, students’ listening ability improved by 15.77%, and speaking ability improved by 15.13% under the innovative teaching method. Reading ability increased by 11.34%, and writing ability increased by 11.86%. This research method can optimize the English teaching evaluation method, build a higher quality English classroom for students, ensure the overall development of students’ English literacy and comprehensive quality, and effectively improve students’ overall English ability.
Study on the influencing factors of the development of art education in colleges and universities based on the deep learning model
Authors: Wang Jing 
Published: September 2023

Abstract
The development of art education in colleges and universities is a direct reflection of the soft power of culture. In this paper, based on two models, BP neural network and long and short-term memory neural network in deep learning model, we study the factors affecting the development of college art education. Firstly, the article introduces the basic models of the BP neural network and LSTM neural network and selects the indicators under three dimensions of college art education scale, college art education input, and output to visually analyze the development status of college art education and find the possible problems. Secondly, five dimensions, namely, population scale, policy support, economic strength, industrial structure, and faculty level, were selected as the influential indicators to study the level of art education in colleges and universities. The population size passed the 1% significance test, GDP per capita and faculty strength passed the 5% significance test, the influence coefficient of art education expenses was 0.349, and only the industrial structure failed the test. According to the analysis, we conclude that the factors affecting the development of art education in colleges and universities are mainly four aspects: population size, policy support, economic strength, and faculty level.
An analysis of the cultural heritage of traditional Chinese festivals based on the perspective of big data
Authors: Li Zhen 
Published: September 2023

Abstract
Exploring the heritage of Chinese traditional festival culture is to enhance the national identity of the people better. This paper introduces the classification principle of support vector machines using support vector machines as an entry point in the big data perspective and shows that support vector machines are all optimized by introducing Lagrangian functions and then finding their optimal classification decision functions. Then, the principle and steps of the artificial fish swarm algorithm are introduced and explained, and the artificial fish swarm algorithm is used to optimize the support vector machine and rank the fitness values. Finally, the AFSA-SVM algorithm is used to classify and analyze two aspects of Chinese traditional festival culture inheritance, i.e., the spiritual value and inheritance mode of Chinese traditional festival culture. From the viewpoint of spiritual value, the harmonious concept of the unity of heaven and man and the self-practice of pursuing ideals are more embodied in the Lantern Festival, accounting for 32.96% and 38.09%, respectively. Regarding inheritance methods, 61.43%, 50.15%, and 55.28% of the people use the Internet, TV, and movies to inherit traditional festivals, respectively. Based on the big data perspective, the AFSA-SVM algorithm can be used to effectively classify and analyze the cultural heritage of traditional Chinese festivals, and the data can be used better to understand the spiritual connotation of traditional Chinese festivals and enhance the sense of national identity.