A model method for testing cosmic radiation

1973 ◽  
Vol 15 (6) ◽  
pp. 430-432
Author(s):  
M. Sosna
Keyword(s):  
Cosmic Radiation ◽  
Model Method

Aplikasi Deteksi Kemiripan Tugas Paper

2017 ◽  
Vol 15 (2) ◽  
pp. 5
Author(s):  
Anthony Anggrawan ◽  
Azhari
Keyword(s):  
Information Retrieval ◽  
Vector Space ◽  
Vector Space Model ◽  
Mean Average Precision ◽  
Average Precision ◽  
Information Searching ◽  
Space Model ◽  
Model Method

Information searching based on users’ query, which is hopefully able to find the documents based on users’ need, is known as Information Retrieval. This research uses Vector Space Model method in determining the similarity percentage of each student’s assignment. This research uses PHP programming and MySQL database. The finding is represented by ranking the similarity of document with query, with mean average precision value of 0,874. It shows how accurate the application with the examination done by the experts, which is gained from the evaluation with 5 queries that is compared to 25 samples of documents. If the number of counted assignments has higher similarity, thus the process of similarity counting needs more time, it depends on the assignment’s number which is submitted.

Anisotropies in Cosmic Radiation

Tellus ◽  
1959 ◽  
Vol 11 (2) ◽  
pp. 239-248 ◽  
Author(s):  
A. Dattner ◽  
D. Venkatesan
Keyword(s):  
Cosmic Radiation

Optimalisasi Pekerjaan Pemindahan Tanah Pada Proyek Embung Begawan Kota Tarakan Dengan Model Antrian

2017 ◽  
Vol 1 (2) ◽  
pp. 75
Author(s):  
Budi Setiawan ◽  
Hermanto Hermanto
Keyword(s):  
Soil Removal ◽  
Production Capacity ◽  
Optimal Time ◽  
Dump Truck ◽  
Queuing Model ◽  
Soil Movement ◽  
Transportation Equipment ◽  
Model Method ◽  
Mechanical Devices ◽  
Time Required

The Embung Bengawan Project in Tarakan City has several jobs requiring heavy equipment including mechanical soil removal activities. Activity of mechanical soil movement is a series in work of loading and transportation equipment. In order to achieve optimal mechanical soil removal targets, it is necessary to know the performance of the machine during the mechanical soil removal process. The optimization of production is the way to obtain production that is in accordance with optimal conditions of mechanical devices. This paper discusses the optimization of dump truck queue time and the number of dump trucks. Performance calculation tool using the method of production capacity of the tool, and calculate the optimal queue using the Queue Model method. Calculation using queuing model method obtained by result of time required by 3 excavator unit and with combined amount of dump truck will give result of cost equal to Rp 48,097,711 / day, and dump truck waiting time in queue to 1 minute. Then the optimal time is obtained by operating 3 units of excavators with a cost difference of Rp 3,572,826 / day from the real condition of the field that operates 2 excavator units

The cosmic radiation effects and activation monitor

1989 ◽  
Author(s):  
C. S. Dyer ◽  
A. J. Sims ◽  
R. J. Hutchings ◽  
D. Mapper ◽  
J. H. Stephen ◽  
...  
Keyword(s):  
Cosmic Radiation ◽  
Radiation Effects

scholarly journals A simple nomogram for early postoperative risk prediction of clinically relevant pancreatic fistula after pancreatoduodenectomy

2021 ◽  
Author(s):  
K. C. Honselmann ◽  
C. Antoine ◽  
L. Frohneberg ◽  
S. Deichmann ◽  
L. Bolm ◽  
...  
Keyword(s):  
Delayed Gastric Emptying ◽  
Model Building ◽  
Pancreatic Head ◽  
Operation Time ◽  
Early Postoperative Period ◽  
Serum Lipase ◽  
Internal Validation ◽  
Model Method ◽  
Postoperative Risk ◽  
Life Threatening

Abstract Purpose Postoperative pancreatic fistulae (POPF) present a serious and life-threatening complication after pancreatic head resections (PD). Therefore, reliable risk stratification to identify those at risk is urgently needed. The aim of this study was to identify postoperative laboratory parameters for the prediction of POPF in the early postoperative period. Methods One hundred eighty-two patients who underwent PD from 2012 until 2017 were retrospectively analyzed. Multivariate logistic regression was performed using the GLM (general linear model) method for model building. Two nomograms were created based on the GLM models of postoperative day one and postoperative day one to five. A cohort of 48 patients operated between 2018 and 2019 served as internal validation. Results Clinically relevant pancreatic fistulae (CR-POPF) were present in 16% (n = 29) of patients. Patients with CR-POPF experienced significantly more insufficiencies of gastroenterostomies, delayed gastric emptying, and more extraluminal bleeding than patients without CR-POPF. Multivariate analysis revealed multiple postoperative predictive models, the best one including ASA, main pancreatic duct diameter, operation time, and serum lipase as well as leucocytes on day one. This model was able to predict CR-POPF with an accuracy of 90% and an AUC of 0.903. Two nomograms were created for easier use. Conclusion Clinically relevant fistula can be predicted using simple laboratory and clinical parameters. Not serum amylase, but serum lipase is an independent predictor of CR-POPF. Our simple nomograms may help in the identification of patients for early postoperative interventions.

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