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8. A modification in an open centre training system for increasing the crotch angles of peach scaffold branches

Author

Abdel-Rahman M.A. Mohamed, Heba F. Sayed, Lidia Sas Paszt, and Augustyn Mika

Subjects
pruning peach, open centre, pruning modification, fruit training, de-branched top, crotch angles, Agriculture (General), S1-972
Abstract

One-year-old 'Florida Prince' cultivar peach trees grafted on a 'Nemaguard' rootstock were planted in the early spring of 2018 at the Centre of Agricultural Research and Experiments, Minia University, located in southwest Egypt. The trees were planted 5 × 5 m in a randomised complete block design with four replicates, with ten trees in each replicate. In the late spring, two different pruning systems were applied; traditional open centre (OC) and de-branched top trees (DBT). The OC trees were headed at 80 cm above the ground. DBT is a modification of the OC, but no heading was undertaken and the new shoot growth arising from the 20 cm at the top of the plant were removed. Before the winter pruning took place, measurements were taken on the upper two opposite branches. The average length and diameter values of the upper two opposite branches at the top of the trees trained to the OC were higher than those trained with the DBT. In contrast, the distance between the upper two branches (25 cm) at the top of the DBT trees was significantly higher. Likewise, the values of the crotch angles (48°) and the number of branches (81 of 100 branches) that showed desired crotch angles (more than 40°) were remarkably higher in the trees trained with the DBT. After the winter pruning took place, the DBT trees were higher than the OC trees. Additionally, the trees trained with the DBT had low pruning costs and took less time. Moreover, the pruning wood weight of the DBT trees was about half of the pruning wood weight of the OC trees. In conclusion, the DBT training system showed the desired impact on the crotch angles and the tested pruning characteristics.

Published
2021
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17. Kualitas Pelayanan Politeknik Pariwisata Palembang Bagi Mahasiswa

Author

Pameli, A., Rahman, M.A & Sadariawati, R

Abstract

Penelitian ini bertujuan untuk mengevaluasi tingkat kepuasan mahasiswa terhadap kualitas layanan administrasi akademik di Politeknik Pariwisata Palembang dengan mengidentifikasi faktor strategis internal yang terdiri dari kekuatan dan kelemahan. Faktor kekuatan yang berupa prasarana kerja yang mendukung, akreditasi lembaga pendidikan, lokasi kampus strategis, kemudahan melakukan keluhan, jenjang pendidikan dosen, dan tampilan bangunan yang megah memberikan kontribusi positif dalam meningkatkan kepuasan mahasiswa. Namun, faktor kelemahan seperti kesesuaian mata kuliah dengan kebutuhan tenaga kerja, belum adanya beasiswa untuk mahasiswa berprestasi, kesesuaian biaya kuliah dengan fasilitas yang diterima, dan kekurangan SDM pegawai yang hanya memiliki pendidikan SMA memengaruhi tingkat kepuasan mahasiswa. Berdasarkan analisis matriks internal dan eksternal, kualitas layanan di Politeknik Pariwisata Palembang berada pada posisi Growth atau sedang berkembang dengan skor bobot internal sebesar 3,49 dan eksternal 3,55. Melalui analisis SWOT, dapat dihasilkan strategi alternatif dan program-program yang dapat dijalankan untuk meningkatkan kualitas layanan administrasi akademik di Politeknik Pariwisata Palembang.

Published
2023
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25. A comparative study on head loss characteristics of same pipe material with different diameters in buried pipe distribution system

Author

Hossain, M. Z., Hasanuzzaman, K.M., Islam, M.A., Rahman, M.A., Rahman, M.A. & Bary, S.Z.

Subjects
Buried pipe, head loss, open channel, velocity, entrance loss and exit loss, education
Abstract

A research work was conducted on buried pipe distribution systems in two different DTW irrigation schemes located in the villages of Dhitpur and Chongachain the sadar upazilla of Sirajganj district. The main objectives of the study were to determine and compare the head loss characteristics of flow through buried pipes made of cement concrete pipe and having different diameters. Air vents of the buried pipe were used as piezometers for the calculation of hydraulic grade line along the pipe length. The flow rate was measured by a cutthroat flume, placed in the open channel several meters away from the outlet of the buried pipe. This work shows that hydraulic properties of buried pipe such as frictional, entrance and exit losses, as well as friction factor are nonlinearly related to velocity of flow. Frictional, entrance and exit losses, as well as friction factor are significantly smaller in a large diameter pipe compared a small diameter pipe of same material for the same velocity of flow. This study reveals that, for a given velocity, the energy losses are significantly smaller in a large diameter pipe compared a small diameter pipe of same material. Exit loss is greater than the entrance loss except very low flow rates. This study suggests that, as the loss of head in a large diameter pipe compared a small diameter pipe of CC pipes, the former is particularly suitable for long buried pipe lines.

Published
2021
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26. Effect of foliar application of sida compound fertilizer on growth, yield, and fruit chemical composition of ‘early superior’ grapevine

Author

Mohamed Abdel-Rahman M.A., Abdel-Aziz Faruk H., Mohamed Moawd A., and Gobara Ali

Subjects
sida compound, seaweed, ‘early superior’ cv., grapevines, berry quality, Plant culture, SB1-1110
Abstract

This experiment aimed at studying the effect of Sida Compound fertilizer containing seaweed extract, natural fertilizers, growth promoters and micronutrients in chelated form on growth, yield and berry quality of table grape ‘Early Superior’. Foliar application of Sida Compound at concentration 0.05 to 0.20%, three times in a season increased shoot length, leaf area and content of N, P and K in the leaves as well as total soluble solids and total sugar contents in fruits. Yield of fruits increased by 29 and 14%, depending on the season.

Published
2013
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30. Improved Attentive Pairwise Interaction (API-Net) for Fine-Grained Image Classification

Author

Yet, O.Z., Rassem, Taha H., Rahman, M.A., and Rahman, M.M.

Abstract

Fine-grained classification is a challenging problem as one has to deal with a similar class of objects but with various types of variations. For more elaboration, they are almost similar and have subtle differences, and are confusing. In this study, aircraft will be the fine-grained object to be focused on. Aircraft which has almost similar shapes and patterns can be hardly recognized even for humans, especially those who haven not gone through any training. In recent years, a lot of proposed methods addressed to solve the difficulties in fine-grained problems by learning contrastive clues from an image. This study aims to increase the accuracy of the Attentive Pairwise Interaction Network (API-Net) by introducing data augmentation into the network structure. Some of the previous studies proved that data augmentation does help improve a network. So, this study is going to modify the API-Net with different data augmentation settings. In this study, various settings have been introduced to the API-Net. Several experiments had been done with a simple modification where a portion of the train dataset's images will randomly convert into greyscale images. These settings are, only brightness & contrast 0.2, only grayscale 0.3, only grayscale 0.5, brightness & contrast 0.2 with grayscale 0.3, and brightness & contrast 0.2 with grayscale 0.5. As a result, the proposed modification achieved with 92.74% with brightness & contrast 0.2, 92.80% on brightness & contrast 0.2 with grayscale 0.5, and 92.86% on brightness & contrast 0.2 with grayscale 0.3. While grayscale 0.3 alone achieve 93.25% and grayscale 0.5 alone achieve 93.46% compared with the original results which reached 92.77%.

Published
2021

31. Basheer—The Sufi

Author

Rahman, M.A., Rehman, M.A., and Rahman, Zahira

Published
2009

37. Serum iron and total iron binding capacity in severely malnourished children

Author

Md. Atiar Rahman, M.A. Mannan and Hamidur Rahman

Subjects
iron, malnourished children, plasma protein, total iron binding capacity, Therapeutics. Pharmacology, RM1-950
Abstract

Serum iron, total iron binding capacity and plasma protein of severely malnourished children of 12-59 months of age were compared with that of normal healthy children. Mean serum total protein and albumin level in normal children were 76.33 ± 0.51, 43.50 ± 0.38 gm/l respectively which was significantly higher (p

Published
2007

41. The Totem

Author

Rahman, M.A. and Krishnan, K.M.

Published
1998

44. Evaluation of a bearingless PM motor with wide magnetic gaps

Author

Asama, J., Amada, M., Tanabe, N., Miyamoto, N., Chiba, A., Iwasaki, S., Takemoto, M., Fukao, T., and Rahman, M.A.

Subjects
Centrifugal pumps -- Analysis, Magnetic bearings -- Analysis, Business, Electronics, Electronics and electrical industries
Published
2010

47. Building dynamic social network from sensory data feed

Author

Rahman, M.A., El Saddik, A., and Gueaieb, W.

Subjects
Fuzzy logic, Fuzzy algorithms -- Usage, Fuzzy logic -- Usage, Fuzzy systems -- Usage, Online social networks -- Analysis, Telemetry -- Analysis
Published
2010

50. Global injury morbidity and mortality from 1990 to 2017: Results from the global burden of disease study 2017

Author

James, S.L. Castle, C.D. Dingels, Z.V. Fox, J.T. Hamilton, E.B. Liu, Z. Roberts, N.L.S. Sylte, D.O. Henry, N.J. LeGrand, K.E. Abdelalim, A. Abdoli, A. Abdollahpour, I. Abdulkader, R.S. Abedi, A. Abosetugn, A.E. Abushouk, A.I. Adebayo, O.M. Agudelo-Botero, M. Ahmad, T. Ahmed, R. Ahmed, M.B. Aichour, M.T.E. Alahdab, F. Alamene, G.M. Alanezi, F.M. Alebel, A. Alema, N.M. Alghnam, S.A. Al-Hajj, S. Ali, B.A. Ali, S. Alikhani, M. Alinia, C. Alipour, V. Aljunid, S.M. Almasi-Hashiani, A. Almasri, N.A. Altirkawi, K. Amer, Y.S.A. Amini, S. Amit, A.M.L. Andrei, C.L. Ansari-Moghaddam, A. Antonio, C.A.T. Appiah, S.C.Y. Arabloo, J. Arab-Zozani, M. Arefi, Z. Aremu, O. Ariani, F. Arora, A. Asaad, M. Asghari, B. Awoke, N. Quintanilla, B.P.A. Ayano, G. Ayanore, M.A. Azari, S. Azarian, G. Badawi, A. Badiye, A.D. Bagli, E. Baig, A.A. Bairwa, M. Bakhtiari, A. Balachandran, A. Banach, M. Banerjee, S.K. Banik, P.C. Banstola, A. Barker-Collo, S.L. Bärnighausen, T.W. Barrero, L.H. Barzegar, A. Bayati, M. Baye, B.A. Bedi, N. Behzadifar, M. Bekuma, T.T. Belete, H. Benjet, C. Bennett, D.A. Bensenor, I.M. Berhe, K. Bhardwaj, P. Bhat, A.G. Bhattacharyya, K. Bibi, S. Bijani, A. Sayeed, M.S.B. Borges, G. Borzì, A.M. Boufous, S. Brazinova, A. Briko, N.I. Budhathoki, S.S. Car, J. Cárdenas, R. Carvalho, F. Castaldelli-Maia, J.M. Castañeda-Orjuela, C.A. Castelpietra, G. Catalá-López, F. Cerin, E. Chandan, J.S. Chanie, W.F. Chattu, S.K. Chattu, V.K. Chatziralli, I. Chaudhary, N. Cho, D.Y. Chowdhury, M.A.K. Chu, D.-T. Colquhoun, S.M. Constantin, M.-M. Costa, V.M. Damiani, G. Daryani, A. Dávila-Cervantes, C.A. Demeke, F.M. Demis, A.B. Demoz, G.T. Demsie, D.G. Derakhshani, A. Deribe, K. Desai, R. Nasab, M.D. Dias da Silva, D. Forooshani, Z.S.D. Doyle, K.E. Driscoll, T.R. Dubljanin, E. Adema, B.D. Eagan, A.W. Eftekhari, A. Ehsani-Chimeh, E. El Sayed Zaki, M. Elemineh, D.A. El-Jaafary, S.I. El-Khatib, Z. Ellingsen, C.L. Emamian, M.H. Endalew, D.A. Eskandarieh, S. Faris, P.S. Faro, A. Farzadfar, F. Fatahi, Y. Fekadu, W. Ferede, T.Y. Fereshtehnejad, S.-M. Fernandes, E. Ferrara, P. Feyissa, G.T. Filip, I. Fischer, F. Folayan, M.O. Foroutan, M. Francis, J.M. Franklin, R.C. Fukumoto, T. Geberemariyam, B.S. Gebre, A.K. Gebremedhin, K.B. Gebremeskel, G.G. Gebremichael, B. Gedefaw, G.A. Geta, B. Ghafourifard, M. Ghamari, F. Ghashghaee, A. Gholamian, A. Gill, T.K. Goulart, A.C. Grada, A. Grivna, M. Gubari, M.I.M. Guimarães, R.A. Guo, Y. Gupta, G. Haagsma, J.A. Hafezi-Nejad, N. Bidgoli, H.H. Hall, B.J. Hamadeh, R.R. Hamidi, S. Haro, J.M. Hasan, M.M. Hasanzadeh, A. Hassanipour, S. Hassankhani, H. Hassen, H.Y. Havmoeller, R. Hayat, K. Hendrie, D. Heydarpour, F. Híjar, M. Ho, H.C. Hoang, C.L. Hole, M.K. Holla, R. Hossain, N. Hosseinzadeh, M. Hostiuc, S. Hu, G. Ibitoye, S.E. Ilesanmi, O.S. Ilic, I. Ilic, M.D. Inbaraj, L.R. Indriasih, E. Irvani, S.S.N. Islam, S.M.S. Mofizul Islam, M. Ivers, R.Q. Jacobsen, K.H. Jahani, M.A. Jahanmehr, N. Jakovljevic, M. Jalilian, F. Jayaraman, S. Jayatilleke, A.U. Jha, R.P. John-Akinola, Y.O. Jonas, J.B. Joseph, N. Joukar, F. Jozwiak, J.J. Jungari, S.B. Jürisson, M. Kabir, A. Kadel, R. Kahsay, A. Kalankesh, L.R. Kalhor, R. Kamil, T.A. Kanchan, T. Kapoor, N. Karami, M. Kasaeian, A. Kassaye, H.G. Kavetskyy, T. Kebede, H.K. Keiyoro, P.N. Kelbore, A.G. Kelkay, B. Khader, Y.S. Khafaie, M.A. Khalid, N. Khalil, I.A. Khalilov, R. Khammarnia, M. Khan, E.A. Khan, M. Khanna, T. Khazaie, H. Shadmani, F.K. Khundkar, R. Kiirithio, D.N. Kim, Y.-E. Kim, D. Kim, Y.J. Kisa, A. Kisa, S. Komaki, H. Kondlahalli, S.K.M. Korshunov, V.A. Koyanagi, A. Kraemer, M.U.G. Krishan, K. Bicer, B.K. Kugbey, N. Kumar, V. Kumar, N. Anil Kumar, G. Kumar, M. Kumaresh, G. Kurmi, O.P. Kuti, O. Vecchia, C.L. Lami, F.H. Lamichhane, P. Lang, J.J. Lansingh, V.C. Laryea, D.O. Lasrado, S. Latifi, A. Lauriola, P. Leasher, J.L. Lee, S.W.H. Lenjebo, T.L. Levi, M. Li, S. Linn, S. Liu, X. Lopez, A.D. Lotufo, P.A. Lunevicius, R. Lyons, R.A. Madadin, M. El Razek, M.M.A. Mahotra, N.B. Majdan, M. Majeed, A. Malagon-Rojas, J.N. Maled, V. Malekzadeh, R. Malta, D.C. Manafi, N. Manafi, A. Manda, A.-L. Manjunatha, N. Mansour-Ghanaei, F. Mansouri, B. Mansournia, M.A. Maravilla, J.C. March, L.M. Mason-Jones, A.J. Masoumi, S.Z. Massenburg, B.B. Maulik, P.K. Meles, G.G. Melese, A. Melketsedik, Z.A. Memiah, P.T.N. Mendoza, W. Menezes, R.G. Mengesha, M.B. Mengesha, M.M. Meretoja, T.J. Meretoja, A. Merie, H.E. Mestrovic, T. Miazgowski, B. Miazgowski, T. Miller, T.R. Mini, G.K. Mirica, A. Mirrakhimov, E.M. Mirzaei-Alavijeh, M. Mithra, P. Moazen, B. Moghadaszadeh, M. Mohamadi, E. Mohammad, Y. Mohammad, K.A. Darwesh, A.M. Mezerji, N.M.G. Mohammadian-Hafshejani, A. Mohammadoo-Khorasani, M. Mohammadpourhodki, R. Mohammed, S. Mohammed, J.A. Mohebi, F. Molokhia, M. Monasta, L. Moodley, Y. Moosazadeh, M. Moradi, M. Moradi, G. Moradi-Lakeh, M. Moradpour, F. Morawska, L. Velásquez, I.M. Morisaki, N. Morrison, S.D. Mossie, T.B. Muluneh, A.G. Murthy, S. Musa, K.I. Mustafa, G. Nabhan, A.F. Nagarajan, A.J. Naik, G. Naimzada, M.D. Najafi, F. Nangia, V. Nascimento, B.R. Naserbakht, M. Nayak, V. Ndwandwe, D.E. Negoi, I. Ngunjiri, J.W. Nguyen, C.T. Nguyen, H.L.T. Nikbakhsh, R. Ningrum, D.N.A. Nnaji, C.A. Nyasulu, P.S. Ogbo, F.A. Oghenetega, O.B. Oh, I.-H. Okunga, E.W. Olagunju, A.T. Olagunju, T.O. Bali, A.O. Onwujekwe, O.E. Asante, K.O. Orpana, H.M. Ota, E. Otstavnov, N. Otstavnov, S.S. Mahesh, P.A. Padubidri, J.R. Pakhale, S. Pakshir, K. Panda-Jonas, S. Park, E.-K. Patel, S.K. Pathak, A. Pati, S. Patton, G.C. Paulos, K. Peden, A.E. Pepito, V.C.F. Pereira, J. Pham, H.Q. Phillips, M.R. Pinheiro, M. Polibin, R.V. Polinder, S. Poustchi, H. Prakash, S. Pribadi, D.R.A. Puri, P. Syed, Z.Q. Rabiee, M. Rabiee, N. Radfar, A. Rafay, A. Rafiee, A. Rafiei, A. Rahim, F. Rahimi, S. Rahimi-Movaghar, V. Rahman, M.A. Rajabpour-Sanati, A. Rajati, F. Rakovac, I. Ranganathan, K. Rao, S.J. Rashedi, V. Rastogi, P. Rathi, P. Rawaf, S. Rawal, L. Rawassizadeh, R. Renjith, V. Renzaho, A.M.N. Resnikoff, S. Rezapour, A. Ribeiro, A.I. Rickard, J. González, C.M.R. Ronfani, L. Roshandel, G. Saad, A.M. Sabde, Y.D. Sabour, S. Saddik, B. Safari, S. Safari-Faramani, R. Safarpour, H. Safdarian, M. Mohammad Sajadi, S. Salamati, P. Salehi, F. Zahabi, S.S. Rashad Salem, M.R. Salem, H. Salman, O. Salz, I. Samy, A.M. Sanabria, J. Riera, L.S. Santric Milicevic, M.M. Sarker, A.R. Sarveazad, A. Sathian, B. Sawhney, M. Sawyer, S.M. Saxena, S. Sayyah, M. Schwebel, D.C. Seedat, S. Senthilkumaran, S. Sepanlou, S.G. Seyedmousavi, S. Sha, F. Shaahmadi, F. Shahabi, S. Shaikh, M.A. Shams-Beyranvand, M. Shamsizadeh, M. Sharif-Alhoseini, M. Sharifi, H. Sheikh, A. Shigematsu, M. Shin, J.I. Shiri, R. Siabani, S. Sigfusdottir, I.D. Singh, P.K. Singh, J.A. Sinha, D.N. Smarandache, C.-G. Smith, E.U.R. Soheili, A. Soleymani, B. Soltanian, A.R. Soriano, J.B. Sorrie, M.B. Soyiri, I.N. Stein, D.J. Stokes, M.A. Mu'awiyyah, B.S. Suleria, H.A.R. Sykes, B.L. Tabarés-Seisdedos, R. Tabb, K.M. Taddele, B.W. Tadesse, D.B. Tamiru, A.T. Tarigan, I.U. Tefera, Y.M. Tehrani-Banihashemi, A. Tekle, M.G. Tekulu, G.H. Tesema, A.K. Tesfay, B.E. Thapar, R. Tilahune, A.B. Tlaye, K.G. Tohidinik, H.R. Topor-Madry, R. Tran, B.X. Tran, K.B. Tripathy, J.P. Tsai, A.C. Car, L.T. Ullah, S. Ullah, I. Umar, M. Unnikrishnan, B. Upadhyay, E. Uthman, O.A. Valdez, P.R. Vasankari, T.J. Venketasubramanian, N. Violante, F.S. Vlassov, V. Waheed, Y. Weldesamuel, G.T. Werdecker, A. Wiangkham, T. Wolde, H.F. Woldeyes, D.H. Wondafrash, D.Z. Wondmeneh, T.G. Wondmieneh, A.B. Wu, A.-M. Yadav, R. Yadollahpour, A. Yano, Y. Yaya, S. Yazdi-Feyzabadi, V. Yip, P. Yisma, E. Yonemoto, N. Yoon, S.-J. Youm, Y. Younis, M.Z. Yousefi, Z. Yu, Y. Yu, C. Yusefzadeh, H. Moghadam, T.Z. Zaidi, Z. Zaman, S.B. Zamani, M. Zamanian, M. Zandian, H. Zarei, A. Zare, F. Zhang, Z.-J. Zhang, Y. Zodpey, S. Dandona, L. Dandona, R. Degenhardt, L. Dharmaratne, S.D. Hay, S.I. Mokdad, A.H. Reiner, R.C., Jr. Sartorius, B. Vos, T.

Abstract

Background Past research in population health trends has shown that injuries form a substantial burden of population health loss. Regular updates to injury burden assessments are critical. We report Global Burden of Disease (GBD) 2017 Study estimates on morbidity and mortality for all injuries. methods We reviewed results for injuries from the GBD 2017 study. GBD 2017 measured injury-specific mortality and years of life lost (YLLs) using the Cause of Death Ensemble model. To measure non-fatal injuries, GBD 2017 modelled injury-specific incidence and converted this to prevalence and years lived with disability (YLDs). YLLs and YLDs were summed to calculate disability-adjusted life years (DALYs). Findings In 1990, there were 4 260 493 (4 085 700 to 4 396 138) injury deaths, which increased to 4 484 722 (4 332 010 to 4 585 554) deaths in 2017, while age-standardised mortality decreased from 1079 (1073 to 1086) to 738 (730 to 745) per 100 000. In 1990, there were 354 064 302 (95% uncertainty interval: 338 174 876 to 371 610 802) new cases of injury globally, which increased to 520 710 288 (493 430 247 to 547 988 635) new cases in 2017. During this time, age-standardised incidence decreased non-significantly from 6824 (6534 to 7147) to 6763 (6412 to 7118) per 100 000. Between 1990 and 2017, age-standardised DALYs decreased from 4947 (4655 to 5233) per 100 000 to 3267 (3058 to 3505). Interpretation Injuries are an important cause of health loss globally, though mortality has declined between 1990 and 2017. Future research in injury burden should focus on prevention in high-burden populations, improving data collection and ensuring access to medical care. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.

Published
2020

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