GPR Investigation of Mining Induced Subsidence and its Effects on Surface Structures: A Case Study of Srinagar City, J&K, India, NW Himalayas

2021 ◽  
Vol 97 (7) ◽  
pp. 751-759
Author(s):  
Bikram Singh Bali ◽  
Ahsan Afzal Wani ◽  
Gulam Rasool Bhat ◽  
Sareer Ahmad Mir
Keyword(s):  
Surface Structures ◽  
Srinagar City

scholarly journals Impact of Car Restrictive Policies: A Case Study of Srinagar City in J&K State India

2020 ◽  
Vol 48 ◽  
pp. 2690-2705
Author(s):  
Adnan Pasha ◽  
Rajat Rastogi ◽  
M.S. Mir
Keyword(s):  
Srinagar City

Seismic Vulnerability of Century Old Buildings of Srinagar City, Kashmir Himalaya, India - A Case Study

2017 ◽  
Vol 7 (1) ◽  
pp. 45
Author(s):  
Bukhari Kaiser ◽  
Yousuf Maqbool ◽  
Dar Ayaz Mohmood ◽  
◽  
◽  
...  
Keyword(s):  
Seismic Vulnerability ◽  
Kashmir Himalaya ◽  
Srinagar City

Health problems of women artisans: A case study of Srinagar City

2019 ◽  
Vol 8 (4) ◽  
pp. 241
Author(s):  
Nadima Fayaz ◽  
Dinesh Mandot ◽  
Mudasir Ahmad Bhat
Keyword(s):  
Health Problems ◽  
Srinagar City

scholarly journals Structuring Tenses of English by Islamic Higher Education Students: A Case Study at Universitas Sains Alqur’an

2019 ◽  
Vol 1 (1) ◽  
pp. 25
Author(s):  
Abdur Rofik ◽  
Sahid Sahid
Keyword(s):  
Higher Education ◽  
Surface Structures ◽  
Data Sources ◽  
Present Perfect ◽  
Education Students ◽  
Study Program ◽  
First Semester ◽  
Education Study ◽  
Academic Year

The aims of this study are to reveal errors in structuring tenses and to find out errors of surface structures committed by Islamic Higher Education Students of Universitas Sains Alqur’an, Wonosobo. Subject of the study is 28 students of Islamic Relegion Education Study Program of Tarbiyah Sciences and Teacher Training Faculty of Universitas Sains Alqur’an, Wonosobo in the first semester of the 2018/2019 Academic Year. Data collecting was conducted through written work instruments. In analyzing the data, the writer reads the data sources, indentifies the errors, classifies them, and especially for tense errors, the writer adds the step of data analysis, namely calculating the errors to find the percentage. The results convey that with regard to tense aspects, the student errors involve simple present 13,54%, present progressive 30,2%, present perfect 28,64%, and present perfect progressive tense 27,6%. Then, with regard to surface structures, the factors of errors committed are omission, addition, misformation, and misordering.

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