In this study, we investigated six types of mood state (tension-anxiety, depression-dejection, anger-hostility, vigor, fatigue, and confusion) using the Profile of Mood States (POMS) with 40 Japanese university studen...In this study, we investigated six types of mood state (tension-anxiety, depression-dejection, anger-hostility, vigor, fatigue, and confusion) using the Profile of Mood States (POMS) with 40 Japanese university students. We examined five main quality of life (QOL) domains (physical health, psychological health, social relationships, and environmental health) using the World Health Organization Quality of Life Scale (WHOQOL-26). We also examined the total scale score. We examined Spearman’s rank correlations between POMS mood state and QOL scores and compared male and female students’ scores. The results indicated statistically significant correlations between all six mood states and three broad WHOQOL-26 domains (physical health, psychological health, and social relationships). Moreover, the relationship between mood state and QOL showed a gender difference. There were correlations between mood states and the QOL domains of social relationships and environmental health for males. In contrast, mood state correlated with the QOL domains of physical health and psychological health in females. The findings suggest that gender-specific health provision is needed to care for young university students in Japan. However, our study has several limitations;therefore, larger-scale studies with older subjects are needed in the future.展开更多
Background: Although treatment guidelines for bipolar disorder in many countries commonly include lithium carbonate joint with sodium valproate, this combination is not effective for all patients. Moreover, some adver...Background: Although treatment guidelines for bipolar disorder in many countries commonly include lithium carbonate joint with sodium valproate, this combination is not effective for all patients. Moreover, some adverse reactions related to this treatment, neurotoxicity and interaction with other drugs justify and call for a new reviewing of the issue. Methods: Evidence base for the interactions of combined drugs, the metabolic features, action mechanism, efficacy and side effects of these treatment combinations were reviewed. Considerable attention was given to the relationship of the mutual action of these drugs with their clinical efficacy but also their side effects. Results: The efficacy of combination therapy of lithium with valproate for treatment and prevention of mania were superior to monotherapy of lithium or valproate. Conclusion: Double mood stabilizer therapy is the best relative treatment for patients with bipolar disorder, especially mania and related episodes.展开更多
The objective of this study was to assess the clinical evidence for or against mood stabilizers as a treatment for Alzheimer’s disease (AD).We searched 5 databases from their inception to January 2010.Five randomized...The objective of this study was to assess the clinical evidence for or against mood stabilizers as a treatment for Alzheimer’s disease (AD).We searched 5 databases from their inception to January 2010.Five randomized clinical trials of mood stabilizers to treat human patients suffering from AD were included.These trials assessed the effectiveness of mood stabilizers as an adjunct treatment to conventional anti-dementia drugs on behavioral and psychological symptoms, especially on agitation.Methodological quality was assessed using the Jadad score.The results suggested a significant effect in favor of placebo on the Mini-Mental Status Examination [n=270, weight mean difference (WMD), -0.89; 95% confidence intervals (CIs) -1.69 to -0.09, P=0.03] and on the Neuropsychiatric Inventory total (NPI total) (n=51, WMD, 3.71; 95% CIs 0.15 to 7.26, P=0.04).There were no significant differences in change scores on total Brief Psychiatric Rating Scale (BPRS total), NPI/BPRS agitation, Cohen-Mansfield Agitation Inventory total and Physical Self Maintenance Scale between mood stabilizers and placebo.Only one of these studies was free of methodological limittions (Jadad score=5).In conclusion, based on the existing evidence, mood stabilizers are ineffective or even harmful as a treatment for AD.展开更多
Since the concept of cooperative consumption was proposed,the sharing economy has become the topic of highest concern in the academic world.From the perspective of the economic market,the sharing economy has created a...Since the concept of cooperative consumption was proposed,the sharing economy has become the topic of highest concern in the academic world.From the perspective of the economic market,the sharing economy has created a new model that breaks the original economic order,which can accommodate more labor.Compared with traditional employment methods,the sharing economy has undergone significant changes in terms of labor.The sharing economy is extremely dependent on information technology,and the employment relationship is relatively vague.This poses great challenges to the welfare,income security,and stability of college graduates’employment.This paper explores and analyzes the new employment methods from the perspective of the sharing economy.展开更多
Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and property.However,traditional methods have the limitation of random selection ...Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and property.However,traditional methods have the limitation of random selection in sliding window selection and seldom incorporate weather forecast data for displacement prediction,while a single structural model cannot handle input sequences of different lengths at the same time.In order to solve these limitations,in this study,a new approach is proposed that utilizes weather forecast data and incorporates the maximum information coefficient(MIC),long short-term memory network(LSTM),and attention mechanism to establish a teacher-student coupling model with parallel structure for short-term landslide displacement prediction.Through MIC,a suitable input sequence length is selected for the LSTM model.To investigate the influence of rainfall on landslides during different seasons,a parallel teacher-student coupling model is developed that is able to learn sequential information from various time series of different lengths.The teacher model learns sequence information from rainfall intensity time series while incorporating reliable short-term weather forecast data from platforms such as China Meteorological Administration(CMA)and Reliable Prognosis(https://rp5.ru)to improve the model’s expression capability,and the student model learns sequence information from other time series.An attention module is then designed to integrate different sequence information to derive a context vector,representing seasonal temporal attention mode.Finally,the predicted displacement is obtained through a linear layer.The proposed method demonstrates superior prediction accuracies,surpassing those of the support vector machine(SVM),LSTM,recurrent neural network(RNN),temporal convolutional network(TCN),and LSTM-Attention models.It achieves a mean absolute error(MAE)of 0.072 mm,root mean square error(RMSE)of 0.096 mm,and pearson correlation coefficients(PCCS)of 0.85.Additionally,it exhibits enhanced prediction stability and interpretability,rendering it an indispensable tool for landslide disaster prevention and mitigation.展开更多
文摘In this study, we investigated six types of mood state (tension-anxiety, depression-dejection, anger-hostility, vigor, fatigue, and confusion) using the Profile of Mood States (POMS) with 40 Japanese university students. We examined five main quality of life (QOL) domains (physical health, psychological health, social relationships, and environmental health) using the World Health Organization Quality of Life Scale (WHOQOL-26). We also examined the total scale score. We examined Spearman’s rank correlations between POMS mood state and QOL scores and compared male and female students’ scores. The results indicated statistically significant correlations between all six mood states and three broad WHOQOL-26 domains (physical health, psychological health, and social relationships). Moreover, the relationship between mood state and QOL showed a gender difference. There were correlations between mood states and the QOL domains of social relationships and environmental health for males. In contrast, mood state correlated with the QOL domains of physical health and psychological health in females. The findings suggest that gender-specific health provision is needed to care for young university students in Japan. However, our study has several limitations;therefore, larger-scale studies with older subjects are needed in the future.
文摘Background: Although treatment guidelines for bipolar disorder in many countries commonly include lithium carbonate joint with sodium valproate, this combination is not effective for all patients. Moreover, some adverse reactions related to this treatment, neurotoxicity and interaction with other drugs justify and call for a new reviewing of the issue. Methods: Evidence base for the interactions of combined drugs, the metabolic features, action mechanism, efficacy and side effects of these treatment combinations were reviewed. Considerable attention was given to the relationship of the mutual action of these drugs with their clinical efficacy but also their side effects. Results: The efficacy of combination therapy of lithium with valproate for treatment and prevention of mania were superior to monotherapy of lithium or valproate. Conclusion: Double mood stabilizer therapy is the best relative treatment for patients with bipolar disorder, especially mania and related episodes.
基金supported by a grant from the Wuhan Bureau of Science and Technology, Hubei,China (No.200960-323132)
文摘The objective of this study was to assess the clinical evidence for or against mood stabilizers as a treatment for Alzheimer’s disease (AD).We searched 5 databases from their inception to January 2010.Five randomized clinical trials of mood stabilizers to treat human patients suffering from AD were included.These trials assessed the effectiveness of mood stabilizers as an adjunct treatment to conventional anti-dementia drugs on behavioral and psychological symptoms, especially on agitation.Methodological quality was assessed using the Jadad score.The results suggested a significant effect in favor of placebo on the Mini-Mental Status Examination [n=270, weight mean difference (WMD), -0.89; 95% confidence intervals (CIs) -1.69 to -0.09, P=0.03] and on the Neuropsychiatric Inventory total (NPI total) (n=51, WMD, 3.71; 95% CIs 0.15 to 7.26, P=0.04).There were no significant differences in change scores on total Brief Psychiatric Rating Scale (BPRS total), NPI/BPRS agitation, Cohen-Mansfield Agitation Inventory total and Physical Self Maintenance Scale between mood stabilizers and placebo.Only one of these studies was free of methodological limittions (Jadad score=5).In conclusion, based on the existing evidence, mood stabilizers are ineffective or even harmful as a treatment for AD.
基金An analysis of the work path of graduate students staying in cities under the background of urban transformation,DSGB2020109,Daqing City Philosophy and Social Science Planning Research ProjectThe construction and practice of the“four in one”collaborative education model of school-enterprise under the background of transformation--Taking Heilongjiang Bayi Agricultural University as an example of animal science and animal medicine,SJGY20170445,Heilongjiang Province Higher Education Teaching Reform ProjectResearch on the incentive mechanism for innovation and entrepreneurship of animal husbandry and veterinary professionals from the perspective of demand analysis,GBB1317082,a key subject of the 13th Five-Year Plan for Education Science in Heilongjiang Province.
文摘Since the concept of cooperative consumption was proposed,the sharing economy has become the topic of highest concern in the academic world.From the perspective of the economic market,the sharing economy has created a new model that breaks the original economic order,which can accommodate more labor.Compared with traditional employment methods,the sharing economy has undergone significant changes in terms of labor.The sharing economy is extremely dependent on information technology,and the employment relationship is relatively vague.This poses great challenges to the welfare,income security,and stability of college graduates’employment.This paper explores and analyzes the new employment methods from the perspective of the sharing economy.
基金This research work is supported by Sichuan Science and Technology Program(Grant No.2022YFS0586)the National Key R&D Program of China(Grant No.2019YFC1509301)the National Natural Science Foundation of China(Grant No.61976046).
文摘Predicting the displacement of landslide is of utmost practical importance as the landslide can pose serious threats to both human life and property.However,traditional methods have the limitation of random selection in sliding window selection and seldom incorporate weather forecast data for displacement prediction,while a single structural model cannot handle input sequences of different lengths at the same time.In order to solve these limitations,in this study,a new approach is proposed that utilizes weather forecast data and incorporates the maximum information coefficient(MIC),long short-term memory network(LSTM),and attention mechanism to establish a teacher-student coupling model with parallel structure for short-term landslide displacement prediction.Through MIC,a suitable input sequence length is selected for the LSTM model.To investigate the influence of rainfall on landslides during different seasons,a parallel teacher-student coupling model is developed that is able to learn sequential information from various time series of different lengths.The teacher model learns sequence information from rainfall intensity time series while incorporating reliable short-term weather forecast data from platforms such as China Meteorological Administration(CMA)and Reliable Prognosis(https://rp5.ru)to improve the model’s expression capability,and the student model learns sequence information from other time series.An attention module is then designed to integrate different sequence information to derive a context vector,representing seasonal temporal attention mode.Finally,the predicted displacement is obtained through a linear layer.The proposed method demonstrates superior prediction accuracies,surpassing those of the support vector machine(SVM),LSTM,recurrent neural network(RNN),temporal convolutional network(TCN),and LSTM-Attention models.It achieves a mean absolute error(MAE)of 0.072 mm,root mean square error(RMSE)of 0.096 mm,and pearson correlation coefficients(PCCS)of 0.85.Additionally,it exhibits enhanced prediction stability and interpretability,rendering it an indispensable tool for landslide disaster prevention and mitigation.
