Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2024-04-09
Abstract： In recent years, the Linguistic Inquiry and Word Count (LIWC) tool has garnered increasing attention, offering the promise of objective, automated, and transparent psychological text analysis. This resurgence has reignited enthusiasm among psychologists for language analysis research. The recent revision of the LIWC-22 dictionary has introduced numerous variables aimed at assessing various socio-psychological structures, thus expanding the application potential of the LIWC tool. To further promote the cultural adaptation of the LIWC tool, we have revised and validated the Simplified Chinese Linguistic Inquiry and Word Count Dictionary 2024 (SCLIWC2024) to better align with the features of LIWC-22. In Study One, building upon the SCLIWC dictionary, we revised SCLIWC2024 by comparing it with the LIWC-22 and CLIWC2015 dictionaries. In Study Two, we conducted two experiments to validate the efficacy of SCLIWC2024 in detecting different psychological semantics in online texts, addressing crucial questions regarding how to more effectively utilize SCLIWC2024 for detecting the psychological semantics of short texts on social networking platforms.
Peer Review Status:
Awaiting Review
Subjects: Psychology >> Applied Psychology Subjects: Computer Science >> Computer Application Technology submitted time 2024-02-29
Abstract： Objective With the development of network big data and machine learning, more and more studies starting to combine text analysis and machine learning algorithms to predict individual satisfaction. In the studies focused on building life satisfaction prediction models, it is often difficult to obtain large amounts of valid and labeled data. This study aims at solving this problem using data augmentation and optimizing the prediction model of life satisfaction. Method Using 357 life status descriptions annotated by self-rating life satisfaction scale scores as original text data. After preprocessing using DLUT-Emotionontology, EAD and back-translation method was applied and the prediction model was built using traditional machine learning algorithms. Results Results showed that (1) the prediction accuracy was largely enhanced after using the adapted version of DLUT-Emotionontology; (2) only linear regression model was enhanced after data augmentation; (3) rigid regression model showed the greatest prediction accuracy when trained by original data (r = 0.4131). Conclusion The improvement of feature extraction accuracy can optimize the current life satisfaction prediction model, but the text data augmentation methods, such as back translation and EDA may not be applicable for the life satisfaction prediction model based on word frequency.
Peer Review Status:Awaiting Review
Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/significance] Based on the review of half-life indexes in periodical evaluation at home and abroad, this paper finds that half-life indexes are mixed and misused in the process of being used. so, we analyze and explore these problems. [Method/process] Using the core journals’ index data of library and information science and economics as a sample, which come from the Statistical Database of International and Domestic Influences in China Academic Journals, we discussed the application rationality of half-life indexes in periodical evaluation though the visualization tools, correlation analysis and other statistical methods. [Results/conclusion] It has been found that half-life has some limitations in periodical evaluation. There is a great difference between historical and contemporary methods in reflecting the aging rate of literature. There are also some misunderstandings about the use of half-life indexes, According to these situations, this paper proposes some recommendations for half-life use.
Subjects: Other Disciplines >> Synthetic discipline submitted time 2023-03-28 Cooperative journals: 《中国科学院院刊》
Abstract： Wuhan lockdown has affected individual psychological status while effectively curbing the epidemic. It is difficult for traditional questionnaire method to acquire individual psychological assessments in large scale timely, which makes it hard to propose time-effective psychological services. In this study, we extracted the linguistic features of Weibo posts from January 20, 2020 to February 16, 2020 among 41 105 active users, and identified the changes of Wuhan citizens’ psychological status nonintrusively. The results indicated that Wuhan citizens have been in a high state of negative emotions such as anxiety, anger, hostility, and disappointment in short term. Meanwhile, the lockdown had induced more fear, psychological pain, and stress experience to some extent. In addition, the lockdown reduced the usage of leisure words and increased the frequency of working words in Wuhan residents’ language expressions. The results suggest that we should take targeted services according to the different negative emotions raised, and arrange long-term service for negative effects of stress, and incorporate online public psychological detection and service into national emergency management system.
Subjects: Psychology >> Social Psychology submitted time 2023-03-28 Cooperative journals: 《心理科学进展》
Abstract： Modeling psychological indexes (i.e., psych-modeling) is an emerging method that uses machine learning algorithms to identify psychological indexes based on big data. This paper reviews the feasibility of psych-modeling methods based on social media data in the field of psychometrics. Frequently used data types and machine learning algorithms are introduced. Then, we summarize psych-modeling's application to various scenarios together with its strengths and weaknesses. Compared with traditional self-reporting methods, psych-modeling has some advantages, including better performance in retrospective studies, greater ecological validity, and greater time-efficiency. However, psych-modeling has several limitations. For example, researchers need to spend extra time and effort to learn this new method and bear the inevitable cost of hardware. In future studies, researchers could investigate further how user's behavior on social media relates to psychological indexes. We also expect psych-modeling will be used in future psychological studies. By combining psychometrics and machine learning, we believe psych-modeling could make great contributions to psychology research and practice in the future.
Subjects: Nursing >> Nursing submitted time 2023-03-06
Abstract： Objective To systematically evaluate the efficacy and current application of emotional nursing of Traditional Chinese Medicine(TCM) in psychosomatic rehabilitation for early-stage colorectal cancer(CRC) patients after radical surgery, so as to provide reference for clinical practice and future research. Methods CNKI, VIP, Wanfang, Embase, Pubmed, Conchrane database were retrieved, and the randomized controlled clinical trial of TCM emotional nursing on psychosomatic rehabilitation early-stage CRC patients after radical surgery from 2010 to 2022 was collected. The literatures that met the inclusion and exclusion criteria were selected for data extraction and quality evaluation. Meta analysis was conducted through RevMan5.3 statistical software. Results Totally 13 studies were included, and 1034 patients were enrolled. Meta-analysis results showed that TCM emotional nursing could significantly reduce the scores of anxiety (SAS) and depression (SDS) of patients after intervention compared with conventional nursing, and could improve the quality of life, sleep, pain of patients, and improve the compliance and satisfaction of nursing and cancer treatment. Conclusion TCM emotional nursing could promote the psychosomatic rehabilitation of early-stage CRC patients after radical surgery, but it still needs to further improve the quality of research, optimize and integrate the nursing practice process and details, and strive to obtain higher level of evidence, so as to better help patients benefit.
Peer Review Status:Awaiting Review
Subjects: Nursing >> Nursing submitted time 2022-10-21
Abstract： Objective: This study aims to provide a reference for the quality management of nursing documents in TCM hospitals, by investigating and analyzing the quality status of nursing documents for critical patients in TCM hospitals in Beijing.Methods: This study adopted cluster sampling method to select 38 third-level and second-level TCM hospitals and integrated traditional Chinese and Western medicine hospitals in Beijing as the survey subjects, and selected archived medical records from January 1st to October 31st, 2020. Each hospital will extract 5 nursing records of critical patients, and exclude medical records with less than 3 days recording. Finally, the quality of the selected 175 nursing records were investigated, and the quality defects discovered were analyzed.Results: The average score of writing quality of 175 nursing records was 82.12 points. And the quality defects occurred 917 times, including 76 times(8.29%) quality defects in ADL Assessment Scale and 106 times (11.56%) quality defects in Temperature Chart, and quality defects occurred most up to 720 times(78.52%) in Nursing Record Sheet. Nursing record defects mainly appears in 6 areas: incorrect recording of time limit, lack of specialized nursing connotation, nonstandard TCM technology records, untidy handwriting, nonstandard signatures, and other problems.Conclusion: The overall quality of nursing documents for critical patients in Beijing TCM hospitals has been improved. Critical patients’ nursing document quality defects still occur frequently, and the types of quality defects are complex. Improvements should be made from instituting standards in detail, implementing tabular electronic medical records, and strengthening the training of nurses’ comprehensive capabilities. The management department should attach great importance to the quality of nursing document writing and analyze reasons for the defects and take effective measures.
Subjects: Psychology >> Applied Psychology submitted time 2022-03-06
Abstract：
In order to explore the differences in life satisfaction and emotional word frequency between single people and married people, this study uses Python to collect data from Zhihu, China’s largest Q&A platform, and obtain the corresponding group's sentiment frequency ratio through the "Wenxin" system and life satisfaction score by a life satisfaction prediction model. Results showed that the life satisfaction score in the married group was significantly higher than that in the single group (t=4.415, p<0.001); The proportion of positive emotion words (t=-9.061, p<0.001) and anxiety words (t=1.844, p<0.001) in the married group was significantly lower than that in the single group, but the proportion of anger words (t=5.101, p<0.001) was significantly higher than that in the single group. The results show that while married people obtain higher life satisfaction and lower anxiety level, they also need to deal with partner related emotional problems."
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2022-03-06
Abstract：
[Objective] This study is based on the Tianya community and explores the differences in parents' life satisfaction and emotional state when children at different educational stages. [Methods] The word frequency distribution of parents whose children are in preschool, primary school and junior middle school is calculated by using the Emotion Dictionary of Dalian Institute of Technology, and the life satisfaction of the parents is predicted based on the word frequency. We then compare the differences in parents' life satisfaction and emotional state between groups. [Results] For life satisfaction, junior high school parents were significantly lower than preschool parents and primary school parents. The result indicated that in terms of happy emotional words, the word frequency of pre-school parents was higher than that of primary and junior middle school parents. While in terms of reassuring words and praising words, the word frequency of junior middle school parents was higher than that of pre-school parents. In the category of believing words, parents whose children are in junior high school had the highest word frequency. Pre-school parents had the highest word frequency, and primary school parents had the second higher word frequency in terms of affectionate words. With regard to the missing words and panic words, junior high school parents’ word frequency was significantly higher than primary school parents, with more panic words being expressed by junior high school parents than preschool parents as well. [Limitations] This study collected the data based on the Tianya community, in which this study might ignore the possibility that some parents may still record their lives in the same post while their children’s educational stages have changed. Future research can focus more on possible influencing factors (e.g., high school parents, different roles of parents, longitudinal study) in the relationship between children’s educational stages and parents’ life satisfaction. [Conclusions] In terms of life satisfaction, junior high school parents were significantly lower than preschool and primary school parents. In terms of emotional expression, there are variations between parents whose children are at different educational stages on various emotional words, including happy, reassuring, praising, believing, affectionate, missing, panic words. " " "
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2022-03-06
Abstract：
[Objective] This study aims to explore the relationship between staying up late, different development levels of cities and life satisfaction with the method of big data in Weibo, so as to increase the understanding of life satisfaction of contemporary people. [Method]The users in Weibo were divided into those who stayed up late and didn't stay up late in first-tier cities and other cities according to user’s information of blog posting. In addition, the statistical difference in life satisfaction between people who stayed up late and didn't stay up late in different areas was compared. [Results] (1) The life satisfaction of Weibo users who stayed up late was significantly higher than that of non-staying up late group (t = 11.768, p < 0.05); (2) Life satisfaction of Weibo users in first-tier cities was significantly lower than that of users in other cities (t =-4.135, p < 0.05); (3) The life satisfaction of staying up late in first-tier cities was significantly lower than that of staying up late in other cities (p < 0.05), and there was no statistically significant difference between non-staying up late in first-tier cities and non-staying up late in other cities (p > 0.05); (4) The life satisfaction of staying up late in first-tier cities was significantly higher than that of non-staying up late in first-tier cities (p < 0.05), and that of staying up late in other cities was significantly higher than that of non-staying up late (p < 0.05). [Conclusion] The staying up late behavior of contemporary Weibo users will improve their life satisfaction to a certain extent. However, the life satisfaction of Weibo users in first-tier cities is lower than that of Weibo users in other cities. "
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2022-03-06
Abstract：
[Objective] To explore the impact of coming out or not on the psychology of sexual minorities, and provide recommendations for sex education and the development of sexual minorities. [Methods] This study used Python and Octopus to crawl the data of Weibo users and Zhihu users, TextMind to obtain the word frequence characteristics of emotional words, and machine learning methods to obtain life satisfaction indicators, and compared the difference between the word frequency characteristics and life satisfaction indicators of the coming-out group and the non-coming-out group. [Results] The proportion of negative emotion words (t ＝ -3.043, p ＜ 0.01) and sad words (t ＝ -2.211, p ＜ 0.05) in the group of non-coming-out group was significantly higher than that of the coming-out group. The life satisfaction of the people who did not come out was significantly lower than that of the people who came out (t ＝ 5.078, p ＜ 0.001). [Limitations] The non-coming-out group in this study was insufficiently sampled, and the subjects were not screened by age, selected variables were few and horizontal research, which made the research not comprehensive enough. [Conclusion] Coming out can improve the life satisfaction of sexual minorities and promote the mental health of them. "
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2020-11-05
Abstract： Modeling psychological indexes (i.e., psych-modeling) is an emerging method that uses machine learning algorithms to identify psychological indexes based on big data. This paper reviews the feasibility of psych-modeling methods based on social media data in the field of psychometrics. Frequently used data types and machine learning algorithms are introduced. Then, we summarize psych-modeling’s application to various scenarios together with its strengths and weaknesses. Compared with traditional self-reporting methods, psych-modeling has some advantages, including better performance in retrospective studies, greater ecological validity, and greater time-efficiency. However, psych-modeling has several limitations. For example, researchers need to spend extra time and effort to learn this new method and bear the inevitable cost of hardware. In future studies, researchers could investigate further how user’s behavior on social media relates to psychological indexes. We also expect psych-modeling will be used in future psychological studies. By combining psychometrics and machine learning, we believe psych-modeling could make great contributions to psychology research and practice in the future.
Peer Review Status:Awaiting Review
Subjects: Psychology >> Applied Psychology submitted time 2020-02-05
Abstract： [Objective] To explore the influence of public health emergencies on the psychological state of the public, and understand its changing characteristics and rules. [Methods] We acquire active Weibo users from 2020/1/13 to 2020/2/26 at first, and extract features from these users’ data, including word frequency, negative (anxiety, depression and force), positive (life satisfaction and oxford happiness) and social attitudes (social risk judgment and anger) index. We then compare the differences of psychological characteristics between 2020/1/13-2020/1/19 and 2020/1/20-2020/1/26. [Results] The result indicates that the frequency of negative emotional words (t=-18.533, p < 0.05) and anxious words were increased (t=-17.433, p < 0.05), family words (t=7.907, p < 0.05) and friend words decreased (t=6.897, p < 0.05) after 20-th. Meanwhile, anxiety (t=-35.962, p < 0.05), depression (t=-10.717, p < 0.05) and obsessiveness (t=-24.755, p < 0.05) were increased. Oxford happiness (t=3.120, p < 0.05) and life satisfaction (t=5.500, p < 0.05) were decreased. The levels of social risk judgment (t=-8.832, p < 0.05) and anger (t=-11.415, p < 0.05) were increased. [Limitations] The weekly measurement of the data is considered as a relatively large scale, which has a certain influence on reflecting the trend of social mentality timely. [Conclusions] After the official confirmation and attention to the incident, the overall state of mind of the society showed an increase in negative emotions such as anxiety and anger, as well as a decrease in well-being and an increase in sensitivity to social risks.
Peer Review Status:Awaiting Review
Subjects: Biology >> Zoology submitted time 2017-10-23 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮中添加泛酸对家兔肝脏脂肪代谢的影响。试验选用体重相似的断奶獭兔160只，随机分为4组，每组40个重复，每个重复1只。对照组獭兔饲喂基础饲料，试验组獭兔分别饲喂在基础饲粮中添加10、20和40 mg/kg泛酸的饲粮。预试期7 d，正试期56 d。结果表明：与对照组相比，饲粮中添加40 mg/kg泛酸显著降低了生长獭兔肩胛、胃周和肾周脂肪沉积率（P0.05）；随着饲粮中泛酸添加水平的升高，生长獭兔血浆中甘油三酯的含量先降低后趋于稳定，20、40 mg/kg添加组显著低于对照组（P<0.05）；与对照组相比，饲粮中添加20～40 mg/kg泛酸显著升高了生长獭兔血浆中极低密度脂蛋白的含量（P<0.05）。与对照组相比，饲粮中添加40 mg/kg泛酸显著增加了肝脏中激素敏感脂酶（HSL）和骨骼肌中脂肪酸转运蛋白（FATP）基因的表达量（P<0.05）；饲粮中添加20～40 mg/kg泛酸显著增加了肝脏中肉毒碱棕榈酰转移酶1（CPT1）基因的表达量（P<0.05）；饲粮中添加10～40 mg/kg泛酸显著增加了肝脏中脂肪酸合成酶（FAS）基因和骨骼肌中CPT1基因的表达量（P<0.05）。综上所述，饲粮中添加泛酸影响生长獭兔肝脏内脂肪代谢，泛酸添加水平为40 mg/kg时可降低肝脏内脂肪的沉积，并能降低机体脂肪沉积率，增加骨骼肌对脂肪酸的摄取和利用。
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