1,724,575 research outputs found
The Void
No full textTranslation of a story by novelist, playwright and short story writer, Ali Mohammad Lone, born in 1927 in Srinagar, Jammu and Kashmir, India. He worked as Assistant Producer in Radio Kashmir, and as Deputy Secretary of Cultural Academy of Jammu and Kashmir. He began his literary career by writing in Urdu but soon turned to his mother tongue Kashmiri. Lone has authored many novels, plays and short stories. Asi Ti Chi Insaan (We Too Are Humans) is his famous novel in Kashmiri. His play Suyya, which has been translated in a number of Indian languages, bagged the prestigious Sahitya Akademi Award in 1972. Lone has also translated Maxim Gorky’s famous novel Mother into Kashmiri. He has been honoured with Soviet Land Nehru Award. Though influenced by left-oriented Progressive Writers’ Movement in India, Lone skilfully uses modernist elements in his work. He died in an accident on 22 December 1987 while returning home in Indira Nagar, Srinagar
The Life and Works of Ali Mohammad Monshi and His Style in Imitation of Golestan Saadi
No full textComposing works by imitation from Golestan by Sa'di, started from the very close to the time of writing this book. One of the last works written to imitate Golestan, Shekarestan, is the work of Ali Mohammad Monshi, known as Hakim. in the past, was in doubt about his life, and some scholars had come up with speculation about him. In this article, while investigating the research of previous scholars, the life of Ali Mohammad Hakim has been clarified through sources of the Qajar era. In the following, writer has studied the style and content of his book, and compared it with Golestan by Saadi, in order to clarify his compliance with Saadi's style
Herbicide resistance in wild oats, Avena spp. / Ali Mohammad Mansooji.
Full text linkBibliography: leaves 203-220.xii, 220 leaves : ill., map ; 30 cm.Thesis (Ph.D.)--University of Adelaide, Dept. of Crop Protection, 199
Lacrimal History - Part 30: Doyens of Dacryology Series - Bruno Fayet (1954-2022)
No full textIn the thirtieth part of the series on the fascinating history of Dacryology, we will evaluate the lacrimal drainage contributions of another Doyen – Bruno Fayet. While this paper will include a few biographical details of the Doyen, his specific publications related to lacrimal drainage sciences will remain in the spotlight. Each paper has its merit, and most, if not all, contribute to science incrementally or exponentially. However, if there are several research works and treatises, discussing each would not do justice to the central theme of this series, which is to highlight those that have significantly contributed to the progress or development of lacrimal drainage sciences. Hence, those that are more notable and crucial will be discussed
Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory
No full textWe propose two model-based threat assessmentmethods for semi-autonomous vehicles, i.e., human-driven vehicles with autonomous driving capabilities. Based on information about the surrounding environment, we introduce a set of constraints on the vehicle states, which are satisfied under “safe” driving conditions. Then, we formulate the threat assessment problem as a constraint satisfaction problem. Vehicle and driver mathematical models are used to predict future constraint violation, indicating the possibility of accident or loss of vehicle control, hence, the need to assist the driver. The two proposed methods differ in the models used to predict vehicle motion within the surrounding environment. We demonstrate the proposed methods in a roadway departureapplication and validate them through experimental data
Hybrid optimal control-swarm intelligence for optimization of selected cancer chemotherapy model / Omar Ali Mohammad Shindi
Full text linkCancer chemotherapy optimization problem one of the critical cases until now, the researchers still working on it, to find the optimal amount of the drug, that reduce the toxicity and the tumor size. That caused increasing in the number of objectives and constraints, so increasing in the complexity of the optimization problem. This research project proposes two hybrid techniques that’s combined between the optimal control theory (OCT) with the swarm intelligence (SI) and evolutionary algorithms (EA), and check the performance of this techniques, with the popular method that used purely SI and EA algorithms, such M-MOPSO, MOPOS, MOEAD, MODE. The comparison between these methods, is done by solved a constraints multi-objectives optimization problem CMOOP, for the optimization problem of cancer chemotherapy treatment. The results of the hybrid techniques appear more efficient than that discovered by the purely SI and EA method. That’s improve the ability of the hybrid methods for solving the CMOOP with a high performance more than used a purely swarm intelligence. This will be very helpful for the clinicians and oncologist to discover and find the optimum dose schedule of the chemotherapy that’s reduce the tumor cells and save the patients’ health at a safe level
- …
