نتایج جستجو برای: chronotopic level

تعداد نتایج: 1080642  

Journal: :iran agricultural research 2014
m. lashgari a. maleki

abstract- noise is considered as one of the most debilitating conditions in farming operations. in this study, a number of factors affecting the noise generated by sampo 3065 combine harvesters were evaluated. factors were engine speed and gear ratio for combines with and without original cabins. a factorial experiment arranged as a completely randomized design with four replicates was used. re...

Journal: :Jadila: Journal of Development and Innovation in Language and Literature Education 2021

Journal: :geopersia 2012
mohammad nakhaei amir saberi nasr

accurate groundwater level modeling and forecasting contribute to civil projects, land use, citys planning and water resources management. combined wavelet-artificial neural network (wann) model has been widely used in recent years to forecast hydrological and hydrogeological phenomena. this study investigates the sensitivity of the pre-processing to the wavelet type and decomposition level in ...

Journal: :Journal of Orthodontics 2018

Journal: :international journal of preventive medicine 0
chinomnso c. nnebue uzo e. ebenebe chukwuma b. duru nonye b. egenti obiageli f. emelumadu christian c. ibeh

background: in some primary health care settings, even where the health services are not available, provisions are not made to ensure continuity of care. this study aimed to determine the availability and level of continuity of care for maternal health services in the primary health centers (phcs) in nnewi, nigeria. methods: this was a cross‑sectional survey. using multistage sampling technique...

Journal: :iranian journal of public health 0
m malakootian environmental health research center and dept. of environmental health engineering, school of publi m ahmadian social development & health promotion research center, kermanshah university of medical sciences, ke k yaghmaeian dept. of environmental health engineering, tehran university of medical sciences, tehran, iran sh dowlatshahi environmental health research center and dept. of environmental health engineering, school of publi mr ghotbi ravandi dept. of occupational health, kerman university of medical sciences, kerman, iran

background: the purpose of this research was to determine the traffic noise level and changes in the kerman city, southeast iran in recent years. methods: this cross-sectional study was carried out in 2008 to investigate the existing noise situation in kerman. sound levels (l max , l min , l eq , l 99 , l 90 , l 50 and l 10 ) were determined throughout 13 stations using sound level measurement ...

Since 1960s, organizational commitment and its antecedents studied from a single– level view; but the study by taking multilevel approach received less attention. In this research, a conceptual cross– level model of organizational commitment antecedents proposed and tested. Data obtained from 461 faculty members of Tehran major universities. Hierarchical linear models examined using HLM6.08. Re...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1389

the current study examined iranian undergraduate efl students’ willingness to communicate with regard to their vocabulary knowledge. in general, participants were somewhat willing to communicate in english. the total mean score of 730 university students’ perception of willing to communicate was 83.53 out of 135. results, regarding four parts of willingness to communicate, revealed that part...

پایان نامه :دانشگاه آزاد اسلامی - دانشگاه آزاد اسلامی واحد تهران مرکزی - دانشکده فنی 1390

شناسایی حروف نوشتاری و نوری نقش مهمی در کاربردهای جدیدی مثل پزشکی و حمل و نقل و سیستم های امنیتی دارد. تاکنون سیستم های شناسایی حروف مختلفی ارائه شده است که هرکدام در یک زمینه کاربردی بکار می روند.در این پایان نامه یک روش جدی برای شناسایی حروف انگلیسی بر مبنای ماتریس gray level co-occurrence matrix (glcm) ارائه شده است.ماتریس glcm بطور وسیعی در کاربرد دسته بندی بافت استفاده می شود. بعد از یک سر...

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