scholarly journals Super-learner model realizes the transient prediction of CO2 and NOx of diesel trucks: Model development, evaluation and interpretation

2022 ◽  
Vol 158 ◽  
pp. 106977
Author(s):  
Ning Wei ◽  
Qijun Zhang ◽  
Yanjie Zhang ◽  
Jiaxin Jin ◽  
Junyu Chang ◽  
...  
2021 ◽  
Vol 99 (Supplement_1) ◽  
pp. 55-56
Author(s):  
Christian D Ramirez-Camba ◽  
Crystal L Levesque

Abstract A mechanistic model was developed with the objective to characterize weight gain and essential amino acid (EAA) deposition in the different tissue pools that make up the pregnant sow: placenta, allantoic fluid, amniotic fluid, fetus, uterus, mammary gland, and maternal body were considered. The data used in this modelling approach were obtained from published scientific articles reporting weights, crude protein (CP), and EAA composition in the previously mentioned tissues; studies reporting not less than 5 datapoints across gestation were considered. A total of 12 scientific articles published between 1977 and 2020 were selected for the development of the model and the model was validated using 11 separate scientific papers. The model consists of three connected sub-models: protein deposition (Pd) model, weight gain model, and EAA deposition model. Weight gain, Pd, and EAA deposition curves were developed with nonparametric statistics using splines regression. The validation of the model showed a strong agreement between observed and predicted growth (r2 = 0.92, root mean square error = 3%). The proposed model also offered descriptive insights into the weight gain and Pd during gestation. The model suggests that the definition of time-dependent Pd is more accurately described as an increase in fluid deposition during mid-gestation coinciding with a reduction in Pd. In addition, due to differences in CP composition between pregnancy-related tissues and maternal body, Pd by itself may not be the best measurement criteria for the estimation of EAA requirement in pregnant sows. The proposed model also captures the negative maternal Pd that occurs in late gestation and indicates that litter size influences maternal tissue mobilization more than parity. The model predicts that the EAA requirements in early and mid-gestation are 75, 55 and 50% lower for primiparous sows than parity 2, 3 and 4+ sows, respectively, which suggest the potential benefits of parity segregated feeding.


2013 ◽  
Vol 17 (1) ◽  
pp. 88-107
Author(s):  
Siswanto Siswanto

Penelitian ini bertujuan untuk 1) mengindentifikasi, 2) me-ngembangkan model evaluasi, dan 3) mengetahui kelayakan model evaluasi kultur SMA yang dikembangkan. Penelitian ini merupakan penelitian dan pengembangan. Langkah-langkah penelitian dan pe-ngembangan menggunakan acuan pokok dari Plomp, sedangkan penentuan jumlah subjek uji coba menggunakan acuan dari Borg & Gall. Hasil penelitian menunjukkan bahwa 1) keadaan kultur akademik yang berkembang di SMA saat ini terdiri atas enam aspek budaya, yaitu berprestasi dan berkompetisi, disiplin dan efisien, jujur dan terbuka, gemar membaca, teguran dan penghargaan, serta kerja sama dan kebersamaan; 2) keadaan kultur sosial yang ber-kembang di SMA saat ini terdiri atas sembilan aspek budaya, yaitu jujur dan terbuka, teguran dan penghargaan, kerjasama dan keber-samaan, saling menghormati, bersih, disiplin dan efisien, ber-sahabat/komunikatif, saling percaya, dan semangat kebangsaan; 3) hasil confirmatory factor analysis (CFA) menunjukkan bahwa model evaluasi kultur akademik dengan responden siswa dan guru sesuai dengan data lapangan dan model evaluasi kultur SMA yang di-kembangkan layak digunakan.Kata kunci: pengembangan model, evaluasi, kultur sekolah______________________________________________________________DEVELOPING A MODEL OF AN EVALUATION OF THE SCHOOL CULTURE IN SENIOR HIGH SCHOOLSAbstract This study aims to: 1) identify the condition of the school culture in senior high schools (SHSs) at this moment; 2) develop a model of an evaluation of the school culture in SHSs; and 3) know the feasability of the developed model of the evaluation of the school culture in SHSs. This research was a research and development. This steps of the research and development were those proposed by Plomp, while the number of the try out subjects was established using Borg & Gall. The conclusions of the study are as follows 1) the condition of academic culture which is developing in SHSs consists of six cultural aspects, namely achievement and competition, discipline and efficiency, honesty and openness, reading habit, reward and punishment, and cooperation and togetherness; 2) the condition of social culture which is developing in SHSs consists of nine cultural aspects, namely honesty and openness, reward and punishment, cooperation and togetherness, mutual respect, cleanness, discipline and efficiency, friendliness/communicativeness, mutual trust, and nationalism spirit; 3) the result of the CFA shows that the evaluation model for the academic culture for the students is  relevant to the field. Teacher respondance shows that value of KMO is 0,655; 4) the result  of the social culture for students is relevant to the field. Teacher respondance shows that value of KMO is 0,682; 5) the effectiveness of the model of the evaluation of the school culture is judged as a good evaluation model.Keywords: model development, evaluation, school culture


2021 ◽  
Author(s):  
Nisha A ◽  
Kavitha G

Abstract Diabetes Mellitus (DM) plays a significant role in increasing the associated health problems worldwide by acting as a Comorbid condition. Moreover, it is a progressive illness without severe external symptoms leading to a fatal impact on the human body if left unnoticed or untreated. This research work aims to associate an individual’s lifestyle and ethnic background in assessing the risk of Diabetes acting as a comorbid condition. A detailed assessment of lockdown impact with rapid modification in individual’s lifestyle due to the pandemic gives specific insight into individuals becoming susceptible to Diabetes Mellitus. An ensemble of ML algorithms is utilized in predicting the risk of individuals turning Diabetic. The ensemble of the ML model is trained on the Pima Indian dataset and Vanderbilt biostatistics diabetes dataset providing the impact of Type 1 diabetes mellitus. The proposed super learner model provides the highest classification accuracy of T1DM & T2DM with 97% compared to an ensemble of algorithms in identifying and classifying the individuals as being susceptible to DM due to the lifestyle and ethnic background.


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