Background: There are multiple questionnaires to measure academic stress in university students, which have been used in nursing students. In Puerto Rico, a questionnaire valid in content and reliability was required ...Background: There are multiple questionnaires to measure academic stress in university students, which have been used in nursing students. In Puerto Rico, a questionnaire valid in content and reliability was required to measure the variable of academic stress in nursing students. Purpose: The aim of this study was to adapt transculturally and validate the Academic Stress Questionnaire (CEA) for its use in Puerto Rico. Materials and Methods: Used for the first phase of this study consisted in the evaluation of the validity of content and appearance, whereas the second phase was the actual administering of the questionnaire to 20 (twenty) nursing students, to pilot test its internal consistency using the Cronbach’s α test. Results: Validity of content and appearance allowed for the modification of the questionnaire into one, consisting of 42 items, thus eliminating 34 premises from the original 76 items the questionnaire was composed of. Furthermore, the appearance of the questionnaire was modified by placing the measuring scales in columns, adapting social, demographic, and academic data to the required Puerto Rican reality. The sections meant to measure the academic stress variables were left intact, except for the linguistics adaptation, which was accomplished by a team of experts in the Spanish language. With an α global of 0.80 and coefficients larger than 0.7 in the multi-item sub scales, which oscillated between 0.750 and 0.860, the questionnaire provides a high reliability. Conclusion: Although the values reported in this study are somewhat lower than previous research, they were comparable the Cronbach’s Alpha coefficients reported by Cabanach, in which the numbers reported are considered high (α > 0.70) which show acceptable confiability of the subscales included in the study and a high degree of consistency and thus can be relied upon in future research. In synthesis, the Academic Stress Questionnaire (CEA) modified and adapted, thoroughly fulfills the established criteria of confiability and vali展开更多
The electric catfish(Malapterurus electricus),belonging to the family Malapteruridae,order Siluriformes(Actinopterygii:Ostariophysi),is one of the six branches that has independently evolved electrical organs.We assem...The electric catfish(Malapterurus electricus),belonging to the family Malapteruridae,order Siluriformes(Actinopterygii:Ostariophysi),is one of the six branches that has independently evolved electrical organs.We assembled a 796.75 Mb M.electricus genome and anchored 88.72%sequences into 28 chromosomes.Gene family analysis revealed 295 expanded gene families that were enriched on functions related to glutamate receptors.Convergent evolutionary analyses of electric organs among different lineage of electric fishes further revealed that the coding gene of rho guanine nucleotide exchange factor 4-like(arhgef4),which is associated with G-protein coupled receptor(GPCR)signaling pathway,underwent adaptive parallel evolution.Gene identification suggests visual degradation in catfishes,and an important role for taste in environmental adaptation.Our findings fill in the genomic data for a branch of electric fish and provide a relevant genetic basis for the adaptive evolution of Siluriformes.展开更多
The prediction of building energy consumption offers essential technical support for intelligent operation and maintenance of buildings,promoting energy conservation and low-carbon control.This paper focused on the en...The prediction of building energy consumption offers essential technical support for intelligent operation and maintenance of buildings,promoting energy conservation and low-carbon control.This paper focused on the energy consumption of heating,ventilation and air conditioning(HVAC)systems operating under various modes across different seasons.We constructed multi-attribute and high-dimensional clustering vectors that encompass indoor and outdoor environmental parameters,along with historical energy consumption data.To enhance the K-means algorithm,we employed statistical feature extraction and dimensional normalization(SFEDN)to facilitate data clustering and deconstruction.This method,combined with the gated recurrent unit(GRU)prediction model employing adaptive training based on the Particle Swarm Optimization algorithm,was evaluated for robustness and stability through k-fold cross-validation.Within the clustering-based modeling framework,optimal submodels were configured based on the statistical features of historical 24-hour data to achieve dynamic prediction using multiple models.The dynamic prediction models with SFEDN cluster showed a 11.9%reduction in root mean square error(RMSE)compared to static prediction,achieving a coefficient of determination(R2)of 0.890 and a mean absolute percentage error(MAPE)reduction of 19.9%.When compared to dynamic prediction based on single-attribute of HVAC systems energy consumption clustering modeling,RMSE decreased by 12.6%,R2 increased by 4.0%,and MAPE decreased by 26.3%.The dynamic prediction performance demonstrated that the SFEDN clustering method surpasses conventional clustering method,and multi-attribute clustering modeling outperforms single-attribute modeling.展开更多
Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy sc...Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy scale’s(K-ANSE)validity and reliability.Methods:The data of 444 nursing college students at 10 universities across the country were collected from November 1,2020 to June 8,2021.The K-ANSE was analyzed utilizing SPSS 25.0 and AMOS 25.0 programs.The K-ANSE’s content validity,construct validity,convergent/discriminant validity,criterion-related validity,and reliability were evaluated.Results:Internal emotion management,auto-regulatory behavior,external emotion management,and sociality were established.The Cronbach’sαfor the overall scale was 0.87,and that of the 4 subscales ranged from 0.70 to 0.89.Conclusions:The Korean version of the ANSE seems to be a valid and reliable instrument to measure Korean bachelor-level nursing students.展开更多
文摘Background: There are multiple questionnaires to measure academic stress in university students, which have been used in nursing students. In Puerto Rico, a questionnaire valid in content and reliability was required to measure the variable of academic stress in nursing students. Purpose: The aim of this study was to adapt transculturally and validate the Academic Stress Questionnaire (CEA) for its use in Puerto Rico. Materials and Methods: Used for the first phase of this study consisted in the evaluation of the validity of content and appearance, whereas the second phase was the actual administering of the questionnaire to 20 (twenty) nursing students, to pilot test its internal consistency using the Cronbach’s α test. Results: Validity of content and appearance allowed for the modification of the questionnaire into one, consisting of 42 items, thus eliminating 34 premises from the original 76 items the questionnaire was composed of. Furthermore, the appearance of the questionnaire was modified by placing the measuring scales in columns, adapting social, demographic, and academic data to the required Puerto Rican reality. The sections meant to measure the academic stress variables were left intact, except for the linguistics adaptation, which was accomplished by a team of experts in the Spanish language. With an α global of 0.80 and coefficients larger than 0.7 in the multi-item sub scales, which oscillated between 0.750 and 0.860, the questionnaire provides a high reliability. Conclusion: Although the values reported in this study are somewhat lower than previous research, they were comparable the Cronbach’s Alpha coefficients reported by Cabanach, in which the numbers reported are considered high (α > 0.70) which show acceptable confiability of the subscales included in the study and a high degree of consistency and thus can be relied upon in future research. In synthesis, the Academic Stress Questionnaire (CEA) modified and adapted, thoroughly fulfills the established criteria of confiability and vali
基金supported by the major scientific and technological projects of Hainan Province(ZDKJ2019011)the special funding of“Blue granary”scientific and technological innovation of China(2018YFD0900301-05).
文摘The electric catfish(Malapterurus electricus),belonging to the family Malapteruridae,order Siluriformes(Actinopterygii:Ostariophysi),is one of the six branches that has independently evolved electrical organs.We assembled a 796.75 Mb M.electricus genome and anchored 88.72%sequences into 28 chromosomes.Gene family analysis revealed 295 expanded gene families that were enriched on functions related to glutamate receptors.Convergent evolutionary analyses of electric organs among different lineage of electric fishes further revealed that the coding gene of rho guanine nucleotide exchange factor 4-like(arhgef4),which is associated with G-protein coupled receptor(GPCR)signaling pathway,underwent adaptive parallel evolution.Gene identification suggests visual degradation in catfishes,and an important role for taste in environmental adaptation.Our findings fill in the genomic data for a branch of electric fish and provide a relevant genetic basis for the adaptive evolution of Siluriformes.
基金supported by the National Natural Science Foundation of China(No.52108074)the National Natural Science Foundation of China(No.52078144).
文摘The prediction of building energy consumption offers essential technical support for intelligent operation and maintenance of buildings,promoting energy conservation and low-carbon control.This paper focused on the energy consumption of heating,ventilation and air conditioning(HVAC)systems operating under various modes across different seasons.We constructed multi-attribute and high-dimensional clustering vectors that encompass indoor and outdoor environmental parameters,along with historical energy consumption data.To enhance the K-means algorithm,we employed statistical feature extraction and dimensional normalization(SFEDN)to facilitate data clustering and deconstruction.This method,combined with the gated recurrent unit(GRU)prediction model employing adaptive training based on the Particle Swarm Optimization algorithm,was evaluated for robustness and stability through k-fold cross-validation.Within the clustering-based modeling framework,optimal submodels were configured based on the statistical features of historical 24-hour data to achieve dynamic prediction using multiple models.The dynamic prediction models with SFEDN cluster showed a 11.9%reduction in root mean square error(RMSE)compared to static prediction,achieving a coefficient of determination(R2)of 0.890 and a mean absolute percentage error(MAPE)reduction of 19.9%.When compared to dynamic prediction based on single-attribute of HVAC systems energy consumption clustering modeling,RMSE decreased by 12.6%,R2 increased by 4.0%,and MAPE decreased by 26.3%.The dynamic prediction performance demonstrated that the SFEDN clustering method surpasses conventional clustering method,and multi-attribute clustering modeling outperforms single-attribute modeling.
文摘Objective:This study aimed to translate the Academic Nurse Self-Efficacy scale(ANSE),assess its appropriateness for use in Korean nursing students,and evaluate the Korean Version of the Academic Nurse Self-Efficacy scale’s(K-ANSE)validity and reliability.Methods:The data of 444 nursing college students at 10 universities across the country were collected from November 1,2020 to June 8,2021.The K-ANSE was analyzed utilizing SPSS 25.0 and AMOS 25.0 programs.The K-ANSE’s content validity,construct validity,convergent/discriminant validity,criterion-related validity,and reliability were evaluated.Results:Internal emotion management,auto-regulatory behavior,external emotion management,and sociality were established.The Cronbach’sαfor the overall scale was 0.87,and that of the 4 subscales ranged from 0.70 to 0.89.Conclusions:The Korean version of the ANSE seems to be a valid and reliable instrument to measure Korean bachelor-level nursing students.
