# bib

id: mejs-46042
author: Kebede, F
date: 2009-09-15
pages: 8
extension: .pdf
mime: application/pdf
words: 2826
sentence: 177
flesch: 65
cache: cache/mejs-46042.pdf
txt: txt/mejs-46042.txt
title:
  Silicon Status and its Relationship with Major Physico-Chemical Properties of Vertisols of Northern Highlands of Ethiopia

summary:
  Comparison study of soil silicon status in sandy soils of south Florida. Effect of amorphous silica on soil properties of a sod- podzolic soil.


id: mejs-109712
author: Murut, G-E; Tsehaye, H; Abay, F
date: 2014-11-13
pages: 15
extension: .pdf
mime: application/pdf
words: 6105
sentence: 308
flesch: 63
cache: cache/mejs-109712.pdf
txt: txt/mejs-109712.txt
title:
  Agronomic performance of some haricot bean varieties (haseolus vulgaris L.) with and without phosphorus fertilizer under irrigated and rain fed conditions in the Tigray and Afar regional states, northern Ethiopia

summary:
  p2o5/ha 6.53a 9.41a 3.65a 2.17b 1.45a - 7.21 a 4.86a Significance level NS NS NS * NS - NS NS SE± 0.19 0.21 0.2 0.046 0.2 - 0.38 0.3 C.V% 0.89a - 12.60 a 1.05a Significance level NS NS NS ** NS - NS NS SE± 0.187 0.16 0.16 0.31 0.16 - 0.56 0.16 C.V% 22.0 195.36 96 8.73 60.5 - 24.37 31.6 Key: Treatments followed by similar letters are not statistically significant (P<0.05), * P<0.05, ** P<0.01, NS = non-significant RF= Rain fall, IR= Irrigation, na= data not recorded due to early season drought crop failure.


id: mejs-85330
author: Konka, B; Gebreselassie, S; Hussen, EN
title: Petrography and geochemistry of ferricrete near Shire, northern Ethiopia
date: 2013-02-11
pages: 19
extension: .pdf
mime: application/pdf
words: 5791
sentence: 290
flesch: 50
cache: cache/mejs-85330.pdf
txt: txt/mejs-85330.txt
summary:
  Out of 30 samples, 5 each are from metavolcanic, intrusive granite and ferruginous sandstone rocks and 15 from ferricrete (both lateral and vertical). Paragenetic sequence of iron minerals seems to have developed in the following manner.


id: mejs-46041
author: Nedaw, D; Walraevens, K
date: 2009-09-15
pages: 15
extension: .pdf
mime: application/pdf
words: 3594
sentence: 188
flesch: 64
cache: cache/mejs-46041.pdf
txt: txt/mejs-46041.txt
title:
  The Positive Effect of Micro-Dams for Groundwater Enhancement: a Case Study around Tsinkanet and Rubafeleg Area, Tigray, Northern Ethiopia

summary:
  Water samples collected from Tsinkanet and Rubafeleg on Jan 6, 2006 and March 14, 2006 have been analyzed in Belgium and Ethiopia. Main type classification of water samples.


id: mejs-57679
author: Amare, K
date: 2010-08-10
pages: 17
extension: .pdf
mime: application/pdf
words: 6087
sentence: 329
flesch: 62
cache: cache/mejs-57679.pdf
txt: txt/mejs-57679.txt
title:
  Petrographic Studies of Rocks from The Chesapeake Bay Impact Structure (USA): Implication for Moderate Shock Pressures in Sedimentary Breccias

summary:
  Chesapeake Bay impact structure drilled. Histogram showing orientations of PDFs in quartz from Chesapeake Bay crater (from Exmore breccia).


id: mejs-46039
author: Kabeto, K; Sawada, Y; Roser, B
date: 2009-09-15
pages: 32
extension: .pdf
mime: application/pdf
words: 10775
sentence: 513
flesch: 66
cache: cache/mejs-46039.pdf
txt: txt/mejs-46039.txt
title:
  Compositional Differences between Felsic Volcanic rocks from the Margin and Center of the Northern Main Ethiopian Rift

summary:
  Most of the felsic rift margin volcanic rocks have greater Al2O3, K2O, Nb, Zr, Rb, and Sr, and lesser CaO, Zr/Nb, and CaO/Al2O3 than rift center volcanic rocks. Based on their Zr/Nb ratios, most samples from the rift margin plot along Zr/Nb ≤ 5, whereas rift center volcanic rocks, and the few samples from the Yerer and Furi Mountains with low Nb contents cluster along Zr/Nb ≥ 6.


id: mejs-46040
author: Tadesse, N; Bheemalingeswara, K; Berhane, A
date: 2009-09-15
pages: 23
extension: .pdf
mime: application/pdf
words: 7639
sentence: 342
flesch: 56
cache: cache/mejs-46040.pdf
txt: txt/mejs-46040.txt
title:
  Groundwater Suitability for Irrigation: a Case Study from Debre Kidane Watershed, Eastern Tigray, Ethiopia

summary:
  According to FAO (1985), water with a sulphate concentration of 0-20 meq/l is considered as a usual range in irrigation water. Classification and use of irrigation waters, U.S. Dept.


id: mejs-171211
author: Ponnapalli, Krishna Murthy; Soren, Ravi Kant
date: 2018-05-17
pages: 20
extension: .pdf
mime: application/pdf
words: 11392
sentence: 161
flesch: 32
cache: cache/mejs-171211.pdf
txt: txt/mejs-171211.txt
title:
  Indirect Estimation of Selected Measures of Fertility and Marital Fertility from Information on CWR (0-9): An Application to India /States /Districts

summary:
  2.1 3.3 18.7 2.4 3.7 16.0 1.9 3.0 Ambala (HR) 16.3 2.0 3.1 17.1 2.1 3.3 15.4 1.8 2.9 Yamunanagar (HR) 17.5 2.2 3.4 18.3 2.3 3.6 16.2 1.9 3.1 Kurukshetra (HR) 17.4 2.1 3.4 18.1 2.2 3.5 15.5 1.8 3.0 Kaithal (HR) 18.6 2.4 3.7 18.9 2.5 3.8 17.7 2.2 3.4 Karnal (HR) 18.7 2.3 3.6 19.4 2.5 3.8 17.0 2.0 3.2 Panipat (HR) 20.2 2.6 3.9 20.8 2.7 4.2 19.4 2.4 3.7 Sonipat (HR) 18.7 2.4 3.7 19.0 2.5 3.8 18.0 2.2 3.4 Jind (HR) 18.4 2.4 3.6 18.7 2.5 3.7 17.6 2.1 3.3 Fatehabad (HR) 18.6 2.4 3.7 18.9 2.4 3.7 17.5 2.1 3.4 Sirsa (HR) 17.7 2.2 3.4 17.9 2.3 3.5 16.9 2.0 3.2 Hisar (HR) 18.0 2.3 3.5 18.5 2.4 3.6 16.9 2.1 3.2 Bhiwani (HR) 18.8 2.4 3.6 19.0 2.5 3.7 17.8 2.2 3.4 Rohtak (HR) 17.7 2.2 3.5 18.3 2.4 3.7 16.7 2.0 3.2 Jhajjar (HR) 17.9 2.3 3.4 17.9 2.3 3.5 17.9 2.2 3.3 Mahendragarh (HR) 17.6 2.2 3.3 17.6 2.2 3.3 17.4 2.1 3.2 Rewari (HR) 18.1 2.2 3.3 18.0 2.3 3.3 18.3 2.2 3.4 Gurgaon (HR) 18.9 2.3 3.5 20.2 2.6 3.8 18.3 2.2 3.3 Mewat (HR) 32.0 5.2 7.5 32.7 5.4 7.7 26.7 3.8 5.7 Faridabad (HR) 20.0 2.5 3.8 23.3 3.1 4.7 19.2 2.3 3.5 Palwal (HR) 24.3 3.4 5.0 25.3 3.7 5.3 20.6 2.6 4.1 NCT OF DELHI (DL) 17.4 2.1 3.4 19.5 2.4 3.8 17.3 2.1 3.4 North West (DL) 17.9 2.2 3.5 19.7 2.5 3.9 17.8 2.2 3.5 North (DL) 16.9 2.0 3.4 20.2 2.5 3.8 16.9 2.0 3.4 North East (DL) 19.5 2.4 3.9 22.8 3.0 4.5 19.5 2.4 3.9 East (DL) 16.5 1.9 3.1 14.9 1.7 2.7 16.5 1.9 3.2 New Delhi (DL) 13.3 1.5 2.6 NA NA NA 13.3 1.5 2.6 Central (DL) 15.5 1.8 3.3 NA NA NA 15.5 1.8 3.3 West (DL) 16.4 2.0 3.2 20.2 2.5 3.7 16.4 2.0 3.2 South West (DL) 16.8 2.0 3.1 18.6 2.3 3.4 16.7 2.0 3.1 South (DL) 17.6 2.1 3.4 20.8 2.8 4.4 17.6 2.1 3.4 RAJASTHAN (RJ) 22.4 3.0 4.3 23.5 3.2 4.6 19.0 2.3 3.6 Ganganagar (RJ) 19.0 2.4 3.7 19.7 2.5 3.8 17.3 2.1 3.3 Hanumangarh (RJ) 19.3 2.5 3.6 19.6 2.5 3.6 18.2 2.2 3.4 Bikaner (RJ) 24.4 3.4 4.8 26.9 4.0 5.5 19.6 2.5 3.7 Churu (RJ) 22.6 3.0 4.3 23.1 3.2 4.4 21.2 2.7 4.0 Jhunjhunun (RJ) 19.7 2.5 3.7 19.6 2.5 3.7 19.7 2.5 3.8 Alwar (RJ) 22.9 3.1 4.4 23.8 3.3 4.6 18.9 2.3 3.6 Bharatpur (RJ) 24.3 3.5 5.1 25.4 3.7 5.3 19.9 2.5 4.0 Dhaulpur (RJ) 25.8 3.9 5.7 26.7 4.1 5.9 22.4 3.0 4.8 Karauli (RJ) 23.8 3.5 4.9 24.1 3.6 5.0 22.2 3.0 4.5 Sawai Madhopur (RJ) 22.0 3.0 4.2 22.6 3.1 4.3 19.8 2.5 3.8 Dausa (RJ) 22.9 3.2 4.6 23.4 3.3 4.7 19.5 2.5 3.8 Jaipur (RJ) 20.4 2.6 3.8 22.3 3.0 4.2 18.7 2.2 3.5 Sikar (RJ) 20.6 2.6 3.9 20.8 2.7 3.9 20.3 2.5 3.9 Nagaur (RJ) 22.3 2.9 4.2 22.5 3.0 4.2 21.6 2.7 4.1 Jodhpur (RJ) 23.7 3.3 4.7 26.2 3.8 5.3 19.0 2.3 3.5 Jaisalmer (RJ) 27.6 4.3 5.9 28.6 4.5 6.2 21.2 2.9 4.1 Barmer (RJ) 27.3 4.2 5.9 27.8 4.3 6.1 20.9 2.7 4.0 Jalor (RJ) 24.9 3.5 5.1 25.2 3.6 5.2 21.6 2.9 4.3 Sirohi (RJ) 23.9 3.2 4.8 25.2 3.5 5.2 18.4 2.3 3.6 Pali (RJ) 21.2 2.8 4.2 21.7 2.9 4.4 19.5 2.4 3.7 Ajmer (RJ) 21.1 2.7 3.9 23.4 3.1 4.3 17.8 2.1 3.3 Tonk (RJ) 20.9 2.7 3.8 21.2 2.8 3.8 19.7 2.3 3.9 Bundi (RJ) 20.8 2.7 3.8 21.4 2.8 3.9 18.5 2.2 3.5 Bhilwara (RJ) 21.6 2.8 3.8 22.3 2.9 4.0 19.2 2.3 3.3 Rajsamand (RJ) 22.0 2.9 4.0 22.6 3.0 4.2 18.4 2.2 3.3 Dungarpur (RJ) 24.8 3.3 5.0 25.3 3.4 5.1 18.2 2.1 3.3 Banswara (RJ) 25.7 3.5 5.1 26.3 3.6 5.3 18.0 2.1 3.0 Krishna Murthy, P and Ravi Kant, S. (MEJS) Volume 10(1):89-108, 2018 © CNCS, Mekelle University 100 ISSN: 2220-184X Chittaurgarh (RJ) 19.9 2.5 3.4 20.3 2.6 3.5 18.1 2.1 3.2 Kota (RJ) 18.8 2.3 3.5 20.2 2.6 3.9 17.8 2.1 3.3 Baran (RJ) 21.5 2.8 4.1 22.0 3.0 4.3 19.4 2.4 3.7 Jhalawar (RJ) 21.4 2.8 3.9 21.7 2.9 3.9 19.4 2.4 3.6 Udaipur (RJ) 23.6 3.1 4.5 25.4 3.5 4.9 16.1 1.9 2.9 Pratapgarh (RJ) 24.7 3.3 4.7 25.3 3.4 4.9 17.7 2.1 3.2 UTTAR PRADESH (UP) 22.7 3.1 4.9 23.8 3.4 5.2 19.1 2.4 4.1 Saharanpur (UP) 21.8 2.9 4.9 22.7 3.1 5.2 19.8 2.5 4.4 Muzaffarnagar (UP) 22.7 3.1 5.1 23.3 3.3 5.3 21.4 2.8 4.7 Bijnor (UP) 22.5 3.0 5.2 22.8 3.1 5.3 21.5 2.8 5.2 Appendix Table 1: Indirect estimates of CBR,TFR & TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Moradabad (UP) 24.1 3.4 5.8 25.7 3.8 6.2 20.8 2.7 4.8 Rampur (UP) 24.0 3.4 5.8 25.2 3.7 6.1 20.4 2.6 4.9 Jyotiba Phule Nagar (UP) 23.9 3.3 5.4 24.5 3.5 5.5 22.0 2.8 5.0 Meerut (UP) 21.0 2.8 4.5 22.6 3.1 5.1 19.5 2.4 4.1 Baghpat (UP) 21.7 3.0 4.8 21.7 3.1 4.9 21.5 2.8 4.6 Ghaziabad (UP) 20.9 2.7 4.4 23.3 3.3 5.3 19.8 2.5 3.9 Gautam Buddha Nagar (UP) 21.4 2.9 4.3 23.0 3.3 4.9 20.3 2.6 3.9 Bulandshahr (UP) 22.6 3.1 5.0 23.0 3.2 5.1 21.2 2.7 4.6 Aligarh (UP) 22.8 3.2 5.0 23.8 3.5 5.3 20.7 2.7 4.5 Mahamaya Nagar (UP) 23.0 3.3 5.1 23.5 3.4 5.2 21.0 2.8 4.5 Mathura (UP) 23.0 3.4 5.1 24.2 3.7 5.5 20.0 2.7 4.2 Agra (UP) 22.3 3.0 4.8 24.8 3.6 5.4 19.3 2.4 4.0 Firozabad (UP) 22.6 3.2 5.0 23.5 3.4 5.3 21.0 2.8 4.6 Mainpuri (UP) 22.5 3.2 5.1 22.9 3.3 5.2 20.1 2.5 4.3 Budaun (UP) 26.1 4.0 6.2 26.9 4.3 6.4 22.7 3.1 5.3 Bareilly (UP) 23.2 3.3 5.4 25.2 3.8 6.0 19.6 2.6 4.5 Pilibhit (UP) 22.4 3.1 5.1 23.2 3.3 5.2 19.0 2.4 4.3 Shahjahanpur (UP) 24.6 3.6 5.6 25.8 4.0 5.9 19.5 2.5 4.4 Kheri (UP) 24.3 3.5 5.4 24.9 3.7 5.5 19.7 2.5 4.2 Sitapur (UP) 24.4 3.6 5.5 24.9 3.8 5.6 20.3 2.6 4.6 Hardoi (UP) 23.5 3.5 5.4 24.1 3.7 5.5 20.0 2.6 4.4 Unnao (UP) 20.9 2.9 4.7 21.4 3.1 4.9 18.3 2.3 3.9 Lucknow (UP) 17.7 2.2 3.7 21.5 3.0 4.9 15.7 1.8 3.2 Rae Bareli (UP) 21.2 2.8 4.6 21.7 2.9 4.7 17.0 2.0 3.5 Farrukhabad (UP) 23.3 3.3 5.3 24.5 3.6 5.6 19.3 2.4 4.2 Kannauj (UP) 22.9 3.3 5.4 23.2 3.4 5.5 21.3 2.8 4.9 Etawah (UP) 21.0 2.9 4.5 21.9 3.1 4.8 18.0 2.2 3.7 Auraiya (UP) 21.4 3.0 4.7 21.9 3.1 4.9 19.2 2.4 4.0 Kanpur Dehat (UP) 20.5 2.9 4.6 20.7 2.9 4.7 19.2 2.5 4.1 Kanpur Nagar (UP) 16.7 2.1 3.5 20.2 2.8 4.6 14.9 1.8 3.1 Jalaun (UP) 20.0 2.7 4.1 20.6 2.9 4.2 18.2 2.3 3.7 Jhansi (UP) 18.9 2.4 3.6 20.3 2.7 3.8 17.0 2.1 3.3 Lalitpur (UP) 24.9 3.6 4.9 25.8 3.8 5.1 19.2 2.4 3.7 Hamirpur (UP) 20.8 3.0 4.5 21.3 3.1 4.6 18.8 2.4 3.9 Mahoba (UP) 21.8 3.2 4.7 22.3 3.3 4.8 19.8 2.7 4.2 Banda (UP) 24.0 3.6 5.3 24.8 3.9 5.6 19.4 2.5 4.1 Chitrakoot (UP) 25.7 3.9 5.7 26.2 4.1 5.9 20.5 2.7 4.4 Fatehpur (UP) 22.1 3.1 4.9 22.5 3.2 5.1 18.8 2.3 4.0 Pratapgarh (UP) 21.6 2.8 4.4 21.8 2.8 4.5 18.6 2.3 3.9 Kaushambi (UP) 25.1 3.8 5.9 25.4 3.8 6.0 22.0 3.0 5.0 Allahabad (UP) 22.1 3.0 4.8 24.0 3.4 5.2 16.4 2.0 3.5 Bara Banki (UP) 23.5 3.4 5.4 23.8 3.5 5.5 20.3 2.7 4.7 Faizabad (UP) 21.8 2.9 4.6 22.6 3.0 4.8 16.9 2.1 3.8 Ambedkar Nagar (UP) 21.5 2.8 4.7 21.7 2.9 4.7 20.1 2.6 4.7 Sultanpur (UP) 22.3 3.0 4.6 22.5 3.0 4.6 18.3 2.2 3.8 Bahraich (UP) 27.1 4.1 5.9 27.7 4.2 6.0 21.0 2.7 4.7 Shrawasti (UP) 27.3 4.1 5.5 27.4 4.1 5.6 22.5 3.0 4.9 Balrampur (UP) 27.1 4.0 5.9 27.5 4.1 6.0 21.5 2.8 4.9 Gonda (UP) 24.8 3.5 5.2 25.2 3.6 5.3 19.1 2.4 4.1 Siddharthnagar (UP) 27.5 4.0 5.9 27.8 4.0 6.0 23.4 3.1 5.2 Basti (UP) 23.7 3.2 5.1 24.1 3.3 5.1 17.8 2.2 3.7 Sant Kabir Nagar (UP) 24.6 3.4 5.4 24.8 3.5 5.4 21.9 2.9 4.8 Mahrajganj (UP) 23.8 3.3 4.8 24.0 3.4 4.9 19.7 2.5 4.1 Gorakhpur (UP) 21.3 2.8 4.4 22.4 3.0 4.6 16.5 2.0 3.4 Kushinagar (UP) 23.9 3.3 5.1 24.1 3.4 5.1 20.2 2.7 4.4 Deoria (UP) 22.6 2.9 4.6 23.0 3.0 4.7 19.6 2.5 4.1 Azamgarh (UP) 23.1 3.0 4.8 23.2 3.0 4.8 21.6 2.8 5.0 Krishna Murthy, P and Ravi Kant, S. (MEJS) Volume 10(1):89-108, 2018 © CNCS, Mekelle University 101 ISSN: 2220-184X Mau (UP) 23.4 3.2 5.2 23.4 3.2 5.0 23.3 3.1 5.7 Ballia (UP) 22.1 3.0 4.7 22.3 3.1 4.7 19.8 2.6 4.2 Jaunpur (UP) 22.7 3.0 4.6 22.9 3.0 4.6 20.3 2.5 4.4 Ghazipur (UP) 23.1 3.2 4.9 23.3 3.3 5.0 20.7 2.7 4.6 Chandauli (UP) 23.4 3.3 4.8 23.8 3.4 4.8 20.5 2.6 4.4 Varanasi (UP) 20.3 2.7 4.2 22.1 3.0 4.5 17.9 2.2 3.8 Sant Rvidas Nagar (Bhadohi) (UP) 24.0 3.2 4.8 24.3 3.3 4.8 22.4 3.0 4.9 Mirzapur (UP) 23.8 3.4 5.0 24.5 3.5 5.1 19.8 2.6 4.2 Sonbhadra (UP) 25.2 3.6 5.1 26.6 3.9 5.5 18.3 2.2 3.5 Etah (UP) 23.6 3.4 5.3 24.1 3.5 5.4 20.5 2.6 4.4 Kanshiram Nagar (UP) 24.9 3.7 5.7 25.7 3.9 5.9 21.9 2.9 5.0 BIHAR (BR) 26.7 4.0 5.6 27.3 4.1 5.7 21.9 2.9 4.6 Pashchim Champaran (BR) 28.6 4.4 6.1 29.1 4.5 6.2 23.9 3.3 5.1 Purba Champaran (BR) 28.9 4.5 6.1 29.2 4.6 6.2 25.0 3.6 5.3 Appendix Table 1: Indirect estimates of CBR,TFR &TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Sheohar (BR) 28.1 4.5 6.1 28.1 4.5 6.1 27.8 4.3 6.0 Sitamarhi (BR) 27.9 4.3 6.0 28.2 4.4 6.0 23.4 3.3 4.9 Madhubani (BR) 26.6 3.9 5.4 26.7 4.0 5.4 23.3 3.2 4.8 Supaul (BR) 28.7 4.3 5.8 28.9 4.4 5.8 24.4 3.5 5.0 Araria (BR) 29.6 4.5 6.3 30.0 4.6 6.3 24.3 3.4 5.1 Kishanganj (BR) 29.3 Volume 10(1):89-108, 2018 © CNCS, Mekelle University 104 ISSN: 2220-184X Jagatsinghapur (OR) 14.3 1.7 2.7 14.2 1.7 2.7 15.3 1.7 2.8 Cuttack (OR) 15.1 1.8 2.9 15.6 1.9 3.0 13.8 1.5 2.6 Jajapur (OR) 17.1 2.0 3.4 17.1 2.0 3.4 17.5 2.0 3.3 Dhenkanal (OR) 17.0 2.0 3.2 17.2 2.1 3.3 14.8 1.7 2.8 Anugul (OR) 17.5 2.1 3.3 17.8 2.2 3.4 15.5 1.7 2.8 Nayagarh (OR) 16.4 2.1 3.0 16.5 2.1 3.0 14.9 1.8 2.7 Khordha (OR) 15.6 1.8 2.9 16.5 2.0 3.1 14.6 1.6 2.6 Puri (OR) 15.2 1.8 2.9 15.3 1.8 3.0 14.3 1.6 2.7 Ganjam (OR) 17.8 2.2 3.4 18.6 2.3 3.6 14.9 1.7 2.9 Gajapati (OR) 22.6 2.8 4.6 23.5 3.0 4.8 15.6 1.8 3.0 Kandhamal (OR) 22.6 2.9 4.8 23.2 3.0 4.9 16.8 1.9 3.3 Baudh (OR) 20.3 2.6 4.1 20.5 2.6 4.1 15.5 1.8 3.1 Subarnapur (OR) 17.5 2.2 3.6 17.6 2.2 3.7 15.9 1.9 3.1 Balangir (OR) 18.7 2.4 3.8 19.1 2.4 3.9 15.9 1.8 3.0 Nuapada (OR) 20.9 2.7 4.1 21.0 2.7 4.2 18.2 2.1 3.5 Kalahandi (OR) 20.5 2.6 4.0 20.9 2.7 4.0 16.8 1.9 3.2 Rayagada (OR) 23.3 2.9 4.7 24.5 3.1 5.1 16.3 1.8 3.0 Nabarangapur (OR) 24.8 3.3 4.8 25.3 3.4 4.9 18.4 2.2 3.6 Koraput (OR) 23.9 3.1 4.7 25.3 3.3 5.0 17.1 1.9 3.2 Malkangiri (OR) 26.0 3.5 5.3 26.5 3.6 5.4 20.1 2.5 4.1 CHHATTISGARH (CT) 20.7 2.6 4.1 21.6 2.7 4.3 17.9 2.1 3.5 Koriya (CT) 20.8 2.6 4.0 22.8 2.9 4.4 16.6 1.9 3.2 Surguja (CT) 23.2 3.1 4.6 23.8 3.2 4.7 18.5 2.2 3.6 Jashpur (CT) 20.5 2.6 4.1 20.6 2.6 4.2 18.7 2.2 3.9 Raigarh (CT) 18.9 2.3 3.6 19.1 2.4 3.7 18.0 2.1 3.5 Korba (CT) 20.4 2.5 4.0 21.7 2.8 4.3 18.1 2.1 3.4 Janjgir - Champa (CT) 20.2 2.6 4.3 20.4 2.7 4.3 18.7 2.2 3.8 Bilaspur (CT) 22.1 2.9 4.5 23.5 3.1 4.8 18.2 2.1 3.6 Kabeerdham (CT) 24.7 3.3 4.8 25.1 3.3 4.8 21.1 2.6 4.1 Rajnandgaon (CT) 19.9 2.4 3.9 20.5 2.5 4.0 17.0 2.0 3.4 Appendix Table 1: Indirect estimates of CBR,TFR &TMFR -Total, Rural and Urban areas-India/States/UTs/Districts-2007 TOTAL - 2007 RURAL - 2007 URBAN - 2007 India/States/Uts/Districts CBR TFR TMFR CBR TFR TMFR CBR TFR TMFR Durg (CT) 18.7 2.2 3.6 19.9 2.5 3.8 16.7 1.9 3.1 Raipur (CT) 20.5 2.5 4.0 21.4 2.7 4.3 18.9 2.2 3.6 Mahasamund (CT) 18.7 2.3 3.6 18.7 2.3 3.6 18.1 2.1 3.6 Dhamtari (CT) 18.5 2.2 3.6 18.8 2.3 3.6 17.0 1.9 3.3 Uttar Bastar Kanker (CT) 19.6 2.4 4.0 20.0 2.4 4.0 16.6 1.8 3.3 Bastar (CT) 22.3 2.7 4.5 23.2 2.9 4.7 16.8 1.9 3.4 Narayanpur (CT) 25.6 3.3 5.8 27.0 3.6 6.1 17.9 2.1 4.0 Dakshin Bastar Dantewada (CT) 23.1 2.8 4.8 23.9 2.9 5.0 19.8 2.4 4.0 Bijapur (CT) 26.3 3.3 5.6 26.8 3.4 5.7 21.9 2.7 4.8 MADHYA PRADESH (MP) 21.7 2.9 4.3 23.0 3.1 4.6 18.1 2.2 3.5 Sheopur (MP) 24.3 3.4 4.8 25.0 3.5 4.9 21.0 2.7 4.3 Morena (MP) 22.3 3.1 4.5 22.9 3.3 4.7 20.3 2.6 4.0 Bhind (MP) 21.0 2.9 4.3 21.4 3.1 4.4 19.8 2.6 3.9 Gwalior (MP) 18.9 2.4 3.7 22.3 3.1 4.6 16.8 2.0 3.3 Datia (MP) 20.5 2.8 4.0 21.0 2.9 4.1 18.9 2.4 3.8 Shivpuri (MP) 24.1 3.5 4.9 25.0 3.7 5.1 19.9 2.5 4.0 Tikamgarh (MP) 23.0 3.2 4.4 23.6 3.3 4.5 20.2 2.6 4.0 Chhatarpur (MP) 23.4 3.4 4.9 24.5 3.7 5.2 19.8 2.6 4.1 Panna (MP) 23.5 3.4 5.0 24.2 3.5 5.1 19.0 2.4 4.0 Sagar (MP) 21.7 3.0 4.5 23.1 3.3 4.8 18.6 2.3 3.9 Damoh (MP) 22.1 3.0 4.4 23.0 3.2 4.5 18.4 2.3 3.8 Satna (MP) 21.9 2.9 4.4 22.8 3.1 4.6 18.7 2.3 3.7 Rewa (MP) 21.8 2.9 4.4 22.5 3.1 4.6 18.2 2.2 3.6 Umaria (MP) 23.2 3.0 4.5 24.2 3.2 4.7 18.1 2.1 3.5 Neemuch (MP) 19.3 2.4 3.5 20.0 2.5 3.5 17.6 2.1 3.3 Mandsaur (MP) 19.7 2.5 3.5 20.3 2.6 3.6 17.5 2.1 3.2 Ratlam (MP) 21.8 2.8 4.1 23.7 3.2 4.5 17.5 2.1 3.3 Ujjain (MP) 20.0 2.5 3.7 21.7 2.9 4.0 17.2 2.1 3.2 Shajapur (MP) 21.4 2.9 4.0 21.8 3.0 4.1 19.7 2.5 3.7 Dewas (MP) 21.4 2.8 4.0 22.4 3.0 4.3 18.8 2.3 3.5 Dhar (MP) 23.9 3.1 4.6 24.6 3.3 4.8 20.9 2.6 3.9 Indore (MP) 18.5 2.2 3.4 21.2 2.7 3.9 17.6 2.1 3.2 Khargone (West Nimar) (MP) 23.4 3.1 4.7 24.2 3.3 4.8 18.8 2.3 3.7 Barwani (MP) 27.6 3.9 5.6 28.9 4.2 5.9 20.1 2.5 4.0 Rajgarh (MP) 22.1 3.0 4.2 22.5 3.1 4.3 20.7 2.6 4.1 Vidisha (MP) 23.9 3.4 5.1 24.9 3.8 5.4 20.4 2.6 4.1 Bhopal (MP) 18.6 2.3 3.6 23.7 3.3 5.0 17.4 2.1 3.3 Krishna Murthy, P and Ravi Kant, S. (MEJS)


id: mejs-57678
author: Nedaw, D
title: Water Balance and Groundwater Quality of Koraro Area, Tigray, Northern Ethiopia
date: 2010-08-10
pages: 18
extension: .pdf
mime: application/pdf
words: 5708
sentence: 305
flesch: 63
cache: cache/mejs-57678.pdf
txt: txt/mejs-57678.txt
summary:
  Mean electrical conductivity of water samples from different sources varies significantly. Piper plot for water samples A) hand dug well, B) Spring samples.


id: mejs-63682
author: Rama Ravi Kumar, ES; Venkateswara Rao, J; Srinivas kumar, V
title: Characterization of Distributive and Standard Ideals in Semilattices
date: 2011-02-17
pages: 17
extension: .pdf
mime: application/pdf
words: 6276
sentence: 444
flesch: 90
cache: cache/mejs-63682.pdf
txt: txt/mejs-63682.txt
summary:
  Y= ∨ ∧ ∨ © CNCS, Mekelle University ISSN:2220-184X 31 Rama Ravi Kumar,E.S., Venkateswara Rao, J and Srinivas Kumar,V (MEJS) Volume 3 (1):20-36, 2011 ( )= D X Y∨ ∧ ( )( ) ( )= D D X X Y∨ ∧ ∨ ∧ (by absorption property) ( )( ) ( )= D X D X Y∨ ∧ ∨ ∧ ( ) ( )=D X Y D X D Y∧ ∨ ∨ ∨


id: mejs-46043
author: Gebretsadik, H; Haile, M; Yamoah, CF
date: 2009-09-15
pages: 13
extension: .pdf
mime: application/pdf
words: 4223
sentence: 261
flesch: 69
cache: cache/mejs-46043.pdf
txt: txt/mejs-46043.txt
title:
  Tillage Frequency, Soil Compaction and N-Fertilizer Rate Effects on Yield of Teff (Eragrostis Tef (Zucc) Trotter) in Central Zone of Tigray, Northern Ethiopia

summary:
  Cover pages Haftamu et al., (MEJS) Volume 1 (1): 82 – 94, 2009 Tillage Frequency, Soil Compaction and N-Fertilizer Rate Effects on Yield of Teff (Eragrostis Tef (Zucc) Trotter) in Central Zone of Tigray, Northern Ethiopia Haftamu Gebretsadik1, Mitiku Haile2 and *Charles F. Yamoah2 1Tigray Agricultural Research Institute, Axum Agricultural Research Centre, P.O. Box 230, Axum, Tigray, Ethiopia. In addition, interaction of compaction with N rates significantly affect tillering because compaction enables teff plants to properly utilize the applied N fertilizer (Table 3).


id: mejs-80114
author: Waktole, S; Bhaskar, RN
date: 2012-08-13
pages: 11
extension: .pdf
mime: application/pdf
words: 4268
sentence: 232
flesch: 61
cache: cache/mejs-80114.pdf
txt: txt/mejs-80114.txt
title:
  Effect of Bio-inoculants Applied to M5 Mulberry Under Rain-fed Condition on Growth and Cocoon Traits Performance of Silkworm, Bombyxmori L.

summary:
  Thus it was deemed necessary to investigate the effect of bio-inoculants application to rain-fed M5 mulberry variety on growth, development and cocoon traits of mulberry silkworm (PM x CSR2),B. mori L. 2. MATERIAL AND METHODS Influence of bio-inoculants (Azotobacter sp. @ The direct influence of bio-inoculants application along with organic manures and chemical fertilizers has significant influence on cocoon and post cocoon variables of PM x CSR2 silkworm breed both in the first and second crops.


id: mejs-247962
author: Tesfay, Tsegay ; Tesfay, Abreha; Bayrau, Tsge
date: 2023-05-21
pages: 11
extension: .pdf
mime: application/pdf
words: 3667
sentence: 216
flesch: 52
cache: cache/mejs-247962.pdf
txt: txt/mejs-247962.txt
title:
  Implication of Mathematical tools to Teachers’ Method of Teaching High School Mathematics: The case of Mekelle Zone, Tigray, Ethiopia

summary:
  The results of this study obtained from 45 high school mathematics teachers in Mekelle, therefore, will provide information about the problems that high school teachers face in making use of teaching aids and software packages which can help to teach mathematics in high schools. In this light, a study was conducted to assess the availability of mathematical tools in schools, analyze the extent of using mathematical tools by high school teachers, analyze the implication of using mathematical tools (manipulatives) to teachers’, understanding in their instructional process, and recommend possible intervention mechanisms.


id: mejs-46044
author: Tsegay, D; Mebratu, A
title: Multidimentional and Multi-Parameter Fortran-Based Curve Fitting Tools
date: 2009-09-15
pages: 18
extension: .pdf
mime: application/pdf
words: 5460
sentence: 296
flesch: 75
cache: cache/mejs-46044.pdf
txt: txt/mejs-46044.txt
summary:
  Volume 1 (1): 95 – 112, 2009 or = ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ Mβ β β M 2 1 ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ ∂ M cM M c M c cMcc cMcc p Pr p Pr p Pr p Pr p Pr p Pr p Pr p Pr p Pr )()()( )()()( )()()( 21 22 2 2 1 11 2 1 1 L MOMM L L ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ )( )( )( 2 1 cM c c Pr Pr Pr M . δ+→ where kk tconsp βδ ×= tan = ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ Mp p p δ δ δ M 2 1 ⎥ ⎥ ⎥ ⎥ ⎦ ⎤ ⎢ ⎢ ⎢ ⎢ ⎣ ⎡ × M tcons β β β M 2 1 tan .


id: mejs-46045
author: Dejenie, T; Asmelash, T; Teferi, M
date: 2009-09-15
pages: 13
extension: .pdf
mime: application/pdf
words: 4273
sentence: 259
flesch: 63
cache: cache/mejs-46045.pdf
txt: txt/mejs-46045.txt
title:
  Intestinal Helminthes Infections and Re-Infections with Special Emphasis on Schistosomiasis Mansoni in Waja, North Ethiopia

summary:
  In Tigray, various studies have been conducted on the prevalence, distribution and infection foci of Schistosoma mansoni infection (Alemayehu et al., 1998; Birrie, 1994; Woldemichael and Kebede, 1996), but none of them studied re-infection of S. mansoni infections. Accordingly for S. mansoni infection is: Light = 1-99epg, Moderate = 100-399epg, Heavy = >400 epg.


id: mejs-49647
author: Kabeto, K
date: 2010-01-19
pages: 22
extension: .pdf
mime: application/pdf
words: 7222
sentence: 363
flesch: 61
cache: cache/mejs-49647.pdf
txt: txt/mejs-49647.txt
title:
  Geological and geochemical variations in Mid-Tertiary Ethiopian Flood Basalt Province, Maychew, Tigray Region, Ethiopia

summary:
  The HT1 (small crossed rectangle), HT2 (shaded dots) and LT (small open circle) basalts are shown for comparison on c, e & f. HT2 overlaps fields of sequence 2 & 3, HT1 overlaps fields of evolved sequence 3, Sequence 4, 5 and 6, whereas LT basalts do not overlap any of Maychew sequences (when incompatible elements such as Nb & La are considered). The smooth increase of La/LuN ratios in lower sequences reflect the general decrease of degree of partial melting that sampled heterogeneous packages of mantle plume materials.


id: mejs-46046
author: Asfaw, KG; Itanna, F
date: 2009-09-15
pages: 13
extension: .pdf
mime: application/pdf
words: 4481
sentence: 285
flesch: 62
cache: cache/mejs-46046.pdf
txt: txt/mejs-46046.txt
title:
  Screening Some Tef [Eragrostis Tef (Zucc.)Trotter] Accessions/Varieties for Salt Tolerance during Germination and Seedling Stage

summary:
  The study affirmed the presence of broad intraspecific variation among tef accessions and varieties for salt tolerance but more in the former. But prior to that there is a need to confirm the presence of genetic based variation for salt tolerance among different species or varieties of a particular crop that can thrive under unreliable agro-ecological situations;


id: mejs-49649
author: Tadesse, N; Bheemalingeswara, K; Abdulaziz, M
date: 2010-01-19
pages: 23
extension: .pdf
mime: application/pdf
words: 7490
sentence: 384
flesch: 63
cache: cache/mejs-49649.pdf
txt: txt/mejs-49649.txt
title:
  Hydrogeological Investigation and Groundwater Potential Assessment in Haromaya Watershed, Eastern Ethiopia

summary:
  TraceTrace Trace Trace Trace Trace Trace Trace Trace Trace Trace Trac HCO3 - 395.7 418.1 2 23 .1 3 35 37 423.1 43 .5 5478.7 6.4 311 43 5.9 181.7 8.3 398.2 3 430.6 328 5 SO4 -2 11.28 17.33 19 6 3 46 1 .95 17.3 .5 Hydrogeological field investigation was concentrated more on differentiating the rock units ©CNCS Mekelle University 28 Nata, T., Bheemalingeswara, K and Abdulaziz, M (MEJS) Volume 2 (1): 26-48, 2010 of groundwater significance (such as the degree of fracturing of the rock units, the extent of weathering, the type and degree of cementation, the thickness of the formations, the grain size, shape and sorting, and the clay proportion) and in collecting hydrogeological information, i.e., locating of water points, collection of water samples, and measurement of discharge of wells.


id: mejs-49654
author: Yirga, G; Teferi, M
date: 2010-01-19
pages: 17
extension: .pdf
mime: application/pdf
words: 6180
sentence: 330
flesch: 53
cache: cache/mejs-49654.pdf
txt: txt/mejs-49654.txt
title:
  Participatory Technology and Constraints Assessment to Improve the Livelihood of Beekeepers in Tigray Region, northern Ethiopia

summary:
  Many of the districts in Tigray, Wollo and Hararege and in some other parts of the country which are covered with marginal forests do have relatively low potential in honey production (Beyene and David, 2007). On a world level, Ethiopia is fourth in beeswax and tenth in honey production (Ayalew and Gezehegn, 1991).


id: mejs-247964
author: Sultanov, Murad
date: 2023-05-21
pages: 11
extension: .pdf
mime: application/pdf
words: 4078
sentence: 237
flesch: 45
cache: cache/mejs-247964.pdf
txt: txt/mejs-247964.txt
title:
  Psychological Characteristics of Professional Soccer Players and their Comparison with Amateur Players

summary:
  The results of the stepwise linear regression analysis demonstrated a statistically significant relationship (p ≤ 0.0001) between competitive anxiety and both psychoticism and neuroticism among professional soccer players. Therefore, the aim of this study: (i) to determine among professional soccer players’ and amateur soccer players individual-typological features, (ii) to compare professional soccer players with amateur soccer players according to personality traits and competitive anxiety, and it was hypothesized that professionals would be different from amateurs by personality traits or competitive anxiety, and (iii) to examine the predictive factors of anxiety in both groups.


id: mejs-247957
author: Saubi, Onalethata ; S Suglo , Raymond ; Konka, Bheemalingeswara
title: Impacts of Fines at Morupule Coal Mine, Botswana
date: 2023-05-21
pages: 16
extension: .pdf
mime: application/pdf
words: 4528
sentence: 250
flesch: 63
cache: cache/mejs-247957.pdf
txt: txt/mejs-247957.txt
summary:
  As a result, the vegetation around the mining concession is affected by coal dust. Coal degradation results in coal dust that has environmental impacts such as water and air pollution, impacts on the health and safety of workers, and adverse effects on mining equipment and machinery (Halt, 2014).


id: mejs-247963
author: Berhane Niguse, Kifle
date: 2023-05-21
pages: 16
extension: .pdf
mime: application/pdf
words: 4903
sentence: 250
flesch: 62
cache: cache/mejs-247963.pdf
txt: txt/mejs-247963.txt
title:
  Design and Analysis of Urban Land Lease Price Predicting Model Using Batch Gradient Descent Algorithm

summary:
  Scenario Theta found by gradient descent Predicted price (Birr) for sample land sizes 𝛉𝟎 𝛉𝟏 𝛉𝟐 315 m 2 140 m2 A α = 0.3 The objective of the research is to minimize the cost function iteratively using gradient descent algorithm with optimal learning rate; by taking possible combinations of 𝜃0 𝑎𝑛𝑑 𝜃1 and finally, design a price and profit predictive model for better predictability and analysis with new feature inputs of the city administration like that of land grade, land size, land location, bid price and so on.


id: mejs-247960
date: 2023-05-21
pages: 14
extension: .pdf
mime: application/pdf
words: 4903
sentence: 306
flesch: 63
cache: cache/mejs-247960.pdf
txt: txt/mejs-247960.txt
author:
  Gigar, Goitom ; Berhe Gebregergs, Gebremedhin ; Gebremeskel, Estifanos ; Abrha, Atakilti ; Mesfin, Berihu 

title:
  Willingness to Pay for Community-based Health Insurance and its Correlates among Households in Wukro and Setit-humera Towns, northern Ethiopia: A Cross-sectional Study

summary:
  Keywords: Community health insurance, Urban, Willingness to pay, Tigray, northern Ethiopia. Willingness to pay for community health insurance in a semi-urban community in Delta State, Nigeria.


id: mejs-57675
title: 403 Forbidden
extension: .htm
mime: text/html
words: 19
sentence: 2
flesch: 68
cache: cache/mejs-57675.htm
txt: txt/mejs-57675.txt
summary:
  Apache/2.4.46 (Ubuntu) Server at www.ajol.info Port 443 403 Forbidden Forbidden You don't have permission to access this resource.


id: mejs-247959
author: Assayehegn, Elias ; Tadese, Abraha ; G/Yohannes, Goitom ; Alemayehu, Samuel ; Teklu, Tesfamariam
date: 2023-05-21
pages: 16
extension: .pdf
mime: application/pdf
words: 5380
sentence: 263
flesch: 52
cache: cache/mejs-247959.pdf
txt: txt/mejs-247959.txt
title:
  Synthesis, Physicochemical, and Antimicrobial Activity of Copper and Zinc Complexes with N, O - Bidentate Schiff Base

summary:
  Keywords: Metal complex, Schiff base, Condensation reaction, Antimicrobial activity, Salicylaldehyde. The aim of this paper, therefore, was to prepare new antimicrobial complexes with proven efficiency- including synthesizing and characterizing Cu(II) and Zn(II) metal complexes of Schiff base derived from the condensation of salicylaldehyde with p-toludine.


id: mejs-49656
author: Kahsay, G; G/Egziabher, A
date: 2010-01-19
pages: 15
extension: .pdf
mime: application/pdf
words: 4357
sentence: 276
flesch: 58
cache: cache/mejs-49656.pdf
txt: txt/mejs-49656.txt
title:
  Quality Assessment of the Commonly Prescribed Antimicrobial Drug, Ciprofloxacin Tablets, Marketed in Tigray, Ethiopia

summary:
  In several developing countries, drug quality is a source of concern. The safety and efficacy of drug products can be guaranteed when their quality is reliable and reproducible from batch to batch.


id: mejs-247961
author: Mohammed, Seid ; Alem Berihu, Birhane ; Beyene, Tekleberhan
title: The Effect of Anethum Graveolens on Male Fertility: Systematic Review and Meta-Analysis
date: 2023-05-21
pages: 16
extension: .pdf
mime: application/pdf
words: 5778
sentence: 357
flesch: 52
cache: cache/mejs-247961.pdf
txt: txt/mejs-247961.txt
summary:
  Recent studies showed that the aqueous extract of Anethum graveolens extract has an adverse effect on male fertility by affecting serum testosterone level, sperm concentration as well as sperm motility. Intervention The intervention of interest was the effect of the Anethum graveolens extract on sperm concentration, sperm motility, and testosterone hormone.


id: mejs-49657
author: Bayray, A
date: 2010-01-19
pages: 11
extension: .pdf
mime: application/pdf
words: 3618
sentence: 172
flesch: 58
cache: cache/mejs-49657.pdf
txt: txt/mejs-49657.txt
title:
  Knowledge, Attitude, and Practice of Voluntary Counseling and Testing for HIV among University Students, Tigray, Northern Ethiopia.

summary:
  A 2003 report from the global HIV prevention working group revealed that less than one in five persons is at risk of HIV and had access to basic HIV prevention services globally. The commonly given perceived barriers of HIV tests were low risk perception and fear of stigma and discrimination if the follows test positive, more than half (55%) of adolescents preferred to be counseled by professionally of any sex but older than their age (Lemessa, 2005 ).


id: mejs-247958
date: 2023-05-21
pages: 15
extension: .pdf
mime: application/pdf
words: 6411
sentence: 311
flesch: 57
cache: cache/mejs-247958.pdf
txt: txt/mejs-247958.txt
author:
  Tsehaye, Hadush; Sundheim, Leif ;  Tronsmo, Arne; Bente Brurberg, May ; Assefa, Dereje; Marte Tronsmo, Anne 

title:
  Detection of total fumonisins produced by Fusarium verticillioides (Sacc) isolates from maize kernels in Ethiopia

summary:
  The occurrence of high fumonisins concentration producing isolates, compared to others across all the areas investigated, demonstrated that the distribution of fumonisins producing F. verticillioides strains is not linked to specific geographic regions. The present study revealed a widespread occurrence of fumonisins producing F. verticillioides in maize in Ethiopia, as all the 80 isolates evaluated produced fumonisins.


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