scholarly journals A Dynamic Knowledge Models of Nitrogen Fertilizer and Computer System for Cotton

Author(s):  
ChunJing Si
1979 ◽  
Vol 44 ◽  
pp. 41-47
Author(s):  
Donald A. Landman

This paper describes some recent results of our quiescent prominence spectrometry program at the Mees Solar Observatory on Haleakala. The observations were made with the 25 cm coronagraph/coudé spectrograph system using a silicon vidicon detector. This detector consists of 500 contiguous channels covering approximately 6 or 80 Å, depending on the grating used. The instrument is interfaced to the Observatory’s PDP 11/45 computer system, and has the important advantages of wide spectral response, linearity and signal-averaging with real-time display. Its principal drawback is the relatively small target size. For the present work, the aperture was about 3″ × 5″. Absolute intensity calibrations were made by measuring quiet regions near sun center.


JAMA ◽  
1966 ◽  
Vol 196 (11) ◽  
pp. 967-972
Author(s):  
J. F. Dickson

Agronomie ◽  
2002 ◽  
Vol 22 (7-8) ◽  
pp. 789-800 ◽  
Author(s):  
Monika Langmeier ◽  
Emmanuel Frossard ◽  
Michael Kreuzer ◽  
Paul Mäder ◽  
David Dubois ◽  
...  

1972 ◽  
Vol 11 (01) ◽  
pp. 32-37 ◽  
Author(s):  
F. T. DE DOMBAL ◽  
J. C. HORROCKS ◽  
J. R. STANILAND ◽  
P. J. GUILLOU

This paper describes a series of 10,500 attempts at »pattern-recognition« by two groups of humans and a computer based system. There was little difference between the performances of 11 clinicians and 11 other persons of comparable intellectual capability. Both groups’ performances were related to the pattern-size, the accuracy diminishing rapidly as the patterns grew larger. By contrast the computer system increased its accuracy as the patterns increased in size.It is suggested (a) that clinicians are very little better than others at pattem-recognition, (b) that the clinician is incapable of analysing on a probabilistic basis the data he collects during a traditional clinical interview and examination and (c) that the study emphasises once again a major difference between human and computer performance. The implications as - regards human- and computer-aided diagnosis are discussed.


2020 ◽  
pp. 93-102
Author(s):  
Fabrizio d'Aniello

The pre-eminent motivation behind this contribution lies in the intention to offer students of three-year degree course in education and training sciences and master's degree in pedagogical sciences of the University of Macerata a further support than those already existing, aimed at expanding the educational meaningfulness of the internship experience. The main criticality of such experience is connected with the difficulty in translating knowledge, models, ideas into appropriate activities. This notably refers to the conceptual and educational core of the sense of initiative and entrepreneurship and, consistently, to the skill to act. Therefore, after a deepening of the sense of initiative and entrepreneurship, followed by related pedagogical reflections based on the capability approach, the paper presents an operative proposal aimed at increasing young people's possibilities of action and supporting their personal and professional growth. With regard to this training proposal, the theoretical and methodological framework refers to the third generation cultural historical activity theory and to the tool of the boundary crossing laboratory, variant of the change laboratory


2020 ◽  
Vol 1 (01) ◽  
pp. 13-20
Author(s):  
Dian Saputra

This study aims to find out the relationship between learning style and students’ knowledge aspect on Computer System Subject at SMK IT Rahmatan Karimah of  Central Bengkulu, the type of research is quantitative and the subject of research is grade X in SMK IT Rahmatan Karimah of  Central Bengkulu. Data collection techniques using observation, Questionnaire and documentation. Data analysis techniques used were Descriptive Analysis, and inferential Statistical Analysis. The results of visual learning style post-test were 11 people with a mean of 76.36, an auditory learning style of 8 people at a mean of 62.14, a kinesthetic learning style of 3 people at a mean of 50.33, apart from that (r x y = 2.35) and the magnitude of r is reflected in the table (r table = 0.4132). Then rxy > r table ie = 2.35> 0.4132. In other words, Ho is rejected and Ha is accepted. It has a significant relationship between the learning styles of students and students’ knowledge aspect on Computer System Subject of grade X TKJ in SMK IT Rahmatan Karimah of  Central Bengkulu


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