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Objective To Chinesize the Nursing Home Care-related Quality of Life Scale (NHC-QoL) and to test its reliability and validity. Methods According to the Brislin model, the NHC-QoL scale was translated into Chinese and cross-cultural debugging was carried out. Using convenience sampling method, 198 elderly people from 4 nursing institutions in Shiyan city were investigated by questionnaire from March to July 2023 to evaluate the reliability and validity of the scale. Results There were 14 items in the Chinese version of NHC-QoL. The content validity index of each item was 0.7-1.0, and the content validity index of the scale was 0.929. Exploratory factor analysis extracted 5 common factors, which could explain 67.914% of the total variation. After discussion within the research group, the common factors were reduced to 2 common factors namely environment and service (11 items) and social interaction (3 items). The total Cronbach's α coefficient of the scale was 0.758 and the test-retest reliability was 0.783. Conclusion The Chinese version of NHC-QoL scale has good reliability and validity and can be used to evaluate the quality of life of the elderly in nursing institutions. [ABSTRACT FROM AUTHOR]

The Specific Affect Coding System (SPAFF), developed by Gottman, has been used to predict the stability of a marriage by observing interaction and emotional expression between couples. In recent observational studies of couples, the SPAFF has been recognized as the best evidence of construct and criterion validity. However, habitual behaviors derived from traditional Chinese culture, such as discouraging expression, indirect communication, and emotion suppression, may impede exploration in emotional expression. Therefore, it is necessary to explore the construct of emotional expression and reflect the essence of couple interaction through observational approaches. The aims of this study were to develop a culturally validated Chinese version of the SPAFF (SPAFF-C-24) and examine its appropriateness for use in marital and couple studies in Taiwan. Using a methodology that combines translational study, expert panel review, and small-scale study with 20 couple dyads, we established the reliability and validity of the SPAFF-C-24 through expert validity, inter-rater reliability, and criteria-related validity. The SPAFF-C-24 was reviewed by 10 experts, who found that the Content Validity Index (CVI) ranged from .79~ .96, indicating a reliable instrument with good content validity. Throughout the coder training with 20 couples in a small-scale study, the mean consistency between two coders with the agreement score in husbands and wives were .82 and .70, respectively. The mean interrater stability with Kappa values in husbands and wives were .53 and .57, respectively. Acceptable coding stability was thus endorsed with the overall agreement of 85.4% and its stability with a mean Kappa value of .55 among coders. In the criteria-related validity, the negative/neutral emotional aspects of the SPAFF-C-24 were significantly correlated with the scores in the Brief Version of Chinese Marital Affection Scale, Marital Quality Scale, and Couple Interaction Scale. Nevertheless, only partial correlations were identified between positive emotional aspects of the SPAFF-C-24 and those aforementioned subscales. In conclusion, the newly derived SPAFF-C-24 could be used to observe affective expressiveness among Chinese couples in Taiwan. However, the appropriateness of added codes and positive affects in the SPAFF-C-24 requires further validation through a large-scale study. [ABSTRACT FROM AUTHOR]

To explore the influencing factors and mechanism of people’s trust on autonomous vehicles(AVs), the trust model of AVs was designed from six perspectives: information content, information carrier, information channel, system transparency, technical capability and situation management. The structure validity, convergent validity and discriminant validity of confirmatory factor analysis, the intermediary effect analysis and path analysis were used for the fitting test of the structural equation model. It was found that information channel, system transparency and information carrier have significant effect on AVs trust. Information content, information carrier and information channels not only affect AVs trust directly, but also affect AVs trust through the intermediary variable of system transparency. [ABSTRACT FROM AUTHOR]

Objective　To develop the knowledge-attitude-practice(KAP) scale for preventive treatment of disease through constitution of Chinese medicine(KAP-PTDCCM) and test its reliability and validity, in order to provide an assessing tool for health management in preventive treatment through constitution of Chinese medicine. Methods　The KAP-PTDCCM was initially developed by referring to literature review combined with expert opinion based on the KAP Theory. A convenience sample of 922 students from three universities in Xinjiang and Beijing were investigated. Reliabilities of KAP-PTDCCM were tested by internal consistency reliability and split-half reliability. Validities of KAP-PTDCCM were tested by construct validity, convergent validity and discriminant validity. Results　The KAP-PTDCCM consisted of 24 items belonging to three dimensions: Knowledge(8 items), Belief/ Attitude(9 items), and Practice (7 items). The total Cronbach′s α value of KAP-PTDCCM was 0. 925(>0. 9) and varied from 0. 887 to 0. 943(>0. 8) for its three dimensions. Split-half reliability was 0. 960. Results of exploratory factor analysis were in accordance with KAP theory, and the cumulative contribution rate of the top three factors was 66. 33%. The indexes of confirmatory factor analysis showed a good fitness of the model. Convergent validity showed that correlation coefficients ranged from 0. 538 to 0. 838(P<0. 05), and discriminant validity showed that correlation coefficients ranged from 0. 096 to 0. 541(P<0. 05). The successful rate was 100% according to the convergent validity and discriminant validity tests. Conclusion　The 24-item scale of KAP-PTDCCM seems to show good reliability and validity for the application in evaluating the knowledge, attitude, practice, and health management effect of preventive treatment of disease through constitution of Chinese medicine. [ABSTRACT FROM AUTHOR]

Objectives: With the continuous popularity of social network products and applications, there are more and more ways to obtain location check-in data. The judgement of friendship based on check-in data is one of the most popular research directions of location based social networks (LBSN). However, social network data is often difficult to obtain in advance. In order to solve the problem of friend relationship judgement based on location check-in data only, this paper proposed a friend relationship judgment method based on an improved gravity model. Methods: Firstly, the information gain was used to calculate the influence of different feature parameters on friendship judgment, and two feature parameters, residence distance and spatial temporal co ⁃occurrence zone, were selected as consequences. Secondly, the gravity model was improved according to the selected feature parameters, and the model's value range was mapped from 0 to 1 by using Sigmoid function, to facilitate the judgement of friend relationship and calibration of model parameters. Finally, the parameters of the model were calibrated by logistic regression, and the prediction of friend relationship was realized on the Gowalla and Brightkite datasets. Results: Multiple experiments were conducted. Part of check-in data were selected to test the validity of feature parameters. The AUC (area under the curve) value of the spatial temporal co-occurrence zone parameter on the Gowalla dataset was 0.710, and the AUC value in the Brightkite dataset was 0.760. The residence distance parameter on the Gowalla dataset got an AUC value of 0.634, and 0.647 on the Brightkite dataset. By setting different degrees of balance, the improved gravity model was used to conduct friend relationship prediction experiments. As the data imbalance increased, the accuracy increased, while the recall rate and Fvalue decreased. However, the model still had a high accuracy and recall rate even with an imbalance of 1∶150. The accuracy rate was 0.846 1 and the recall rate was 0.788 5 when the Gowalla dataset as the training dataset while the test was performed on the Brightkite dataset. The accuracy rate was 0.859 1, and the recall rate was 0.853 7 when the Brightkite dataset as the training dataset while the test was performed on the Gowalla dataset. The contrast experiment with the friend relationship probability model shows that the recall rate of the contrast model dropped from 0.75 to almost 0 with the increase of the threshold. The experimental results above show that the selected feature parameters and the proposed model have a good predictive effect on the judgment of friend relationship. Conclusions: The proposed method can realize friend relationship judgment under the condition of only relying on location check-in data. The model has better stability between datasets from different sources, and the overall performance of this method is significantly higher than that of the comparison method. [ABSTRACT FROM AUTHOR]

OBJECTIVE: To design the scale for children’ s compliance and attitude towards traditional Chinese medicine decoction, so as to measure the reliability and validity of the scale. METHODS: The above scale was used to evaluate the compliance and attitude towards traditional Chinese medicine decoction in children in Traditional Chinese Medicine Department of Beijing Children’s Hospital. Item analysis, homogeneity, reliability and validity of the scale were carried out. RESULTS: Eighty-Five questionnaires were collected, of which 80 were valid questionnaires, and the questionnaire response rate was 94. 1%. Item analysis showed that, except for item 5 of compliance, the difference of t-test for variance of other items was statistically significant(P<0. 001), with good discrimination. The homogeneity test showed that the score and total score of each item were significantly different(P<0. 001), and the homogeneity was high. The reliability analysis showed that the internal consistency coefficient(Cronbach’ s α) was >0. 697, and the adjusted Cronbach’ s α was > 0. 723, indicating the high reliability of the scale. Content validity analysis results showed that S-CVI was >0. 80, S-CVI/ Ave was >0. 90, and all experts had higher degree of recognition for the topic. The KMO value of structural validity was 0. 595, and the Bartlett’ s spherical test value was 802. 599 (P<0. 001). Two common factors were extracted by principal component analysis, which could explain 47. 490% of the total variance. The load of each item on its principal factors was >0. 400, indicating the high load value. CONCLUSIONS: The scale has good reliability and validity in measuring children’s compliance and attitude towards traditional Chinese medicine decoction, and can be popularized. [ABSTRACT FROM AUTHOR]

Aimed at the single objective flexible job-shop scheduling problem (FJSP) with the maximum completion time of job-shop production as the optimization goal, a hybrid genetic algorithm combining genetic algorithm and whale swarm algorithm (WSA) is proposed to solve the FJSP. By coding and recombining the individual whale of WAS and the chromosome of genetic algorithm, the local search ability of the traditional genetic algorithm is improved, and thus the algorithm solution quality enhanced. A Kacem01 ˜ Kacem05 standard example is used to test the validity and feasibility of the algorithm. The results show that the hybrid genetic algorithm of WSA has obtained the current optimal solution in the example test, which is effective and feasible. [ABSTRACT FROM AUTHOR]

In order to effectively extract the key features from the extremely short texts, this paper proposed an extremely short text classification model based on SVM. Firstly, by the data cleansing on the original data, the cleaned data was processed by the jieba segmentation and TF-IDF. Then the 1-0 test verified the validity of the model. Finally, 9906 pieces of extremely short texts in Wuhu city community management platform were used as the sample in this experiment. The results show that the proposed method can effectively improve classification accuracy compared to other traditional methods, such as naive Bayes, logistic regression and decision tree. At the same time, the matching results in terms of misclassification and accuracy are more balanced. [ABSTRACT FROM AUTHOR]

Based on the third-generation wave observation model WAVEWATCH-III, CCMP and ERA wind fields were respectively used as driving fields to conduct numerical simulation, validity test and wave analysis of effective wave height caused by typhoon "rainbow" in the South China Sea in October 2015. The study found that: three typhoon track points in the South China Sea are selected for parameter test. By comparing the simulated wave height with the measured wave height, the correlation coefficient of ERA wind field is 0.867~0.932, the correlation coefficient of CCMP wind field is 0.871~0.901, and the absolute deviation value of the two wind fields is 0.043~0.347 m. The effective wave height diagram of wind field simulation was made, and it was found that the simulation effect of the two wind fields is better. The typhoon mainly affected the northwest of the Philippines islands in the east, the Taiwan Strait in the north, and the Beibu Gulf sea area in the west. The maximum wave height of the coastal waters during the typhoon period is over 9 m. [ABSTRACT FROM AUTHOR]

Most of traditional fault diagnosis research ignored characteristics of local structure. For that problem under PMC model, this paper introduced the definition of node diagnosis. And through the study by nodes diagnosis, it obtained the sufficient condition of the node diagnosiability and got a newt-diagnosis algorithm called STFDA. Finally, it performed an analysis from the angle of node diagnosis of n-dimensional hypercube network and n-dimensional star network in order to test the validity of the sufficient conditions. This algorithm performed a fault diagnosis to the two kinds of network at last. Indeed, the implementation of the sufficient condition and algorithm got the help of a new structure called ST. And the algorithm's time complexity was proved to be 0 ( N δ ), with δ equal to the maximum degree of node in network, which was significantly reduced compared with others algorithm. [ABSTRACT FROM AUTHOR]

As for ihe problem of coordinating optimization between ihe automatic guided vehicles (AGV) and ihe double-trolley quay cranes ( QG) in ihe automated container terminals ( ACT) , this paper was based on ihe actual layoul and loading and unloading technology of Shanghai Yangshan Port Fourth project. Il took ihe lolai lask completion time as objective function considering ihe condition of dual cycle. Il established and used a double-trolley quay crane and AGV model with time window constraints to calculate ihe practical example by using ihe genetic algorithm. The sensitivity analysis verifies ihe validity of ihe model and ihe algorithm, and tests ihe validity of ihe genetic algorithm parameter setting. The results show that this method can help improve ihe operating efficiency of automated container terminals, reduce ihe container al port time and improve ihe terminal competitiveness. [ABSTRACT FROM AUTHOR]

Aimed at how to determine expert weights in group evaluation， a group evaluation method based on the convincing force of evaluators was proposed from the perspective of the attention degree of expert information in order to improve the credibility of evaluation results. It was found that this method not only guarantees the completeness of evaluators’ evaluation information， but also integrates evaluators’ experience information and other information in the evaluation process to ensure the accuracy of evaluation results. Firstly， the evaluation context was set and the research hypotheses were made， and then a distinction between evaluators and evaluation requestors was made. Secondly， the computational model of convicing force was constructed and its validity was expounded upon. Finally， a nonlinear programming model was used to calculate the final evaluation result of every evaluated object. [ABSTRACT FROM AUTHOR]