223 research outputs found
The examination of word groups in the Sabahattin Ali's story book named "Yeni Dünya"
No full textBir dili oluşturan temel ögeler kelimeler, kelime grupları ve cümlelerdir. Dillerdeki kelime sayıları sınırlıdır. Ancak kelime grupları ve cümleler sınırsızdır. Bir dilin zenginliği ve güzelliği o dilin kullanıcılarının farklı kombinasyonlarda kelimeleri bir araya getirebilme yetenekleriyle doğrudan bağlantılıdır. Kelimeleri hem estetik olarak hem de çok çeşitli anlamlarda birbiriyle ilişkili biçimde en iyi kullananlar ise şairler ve yazarlardır. Sabahattin Ali, Türk edebiyatının önemli yazarlarından biri olarak kabul edilmektedir. Bu çalışmada, Sabahattin Ali'nin hikâyeleri üzerinde yapılan kelime grupları incelemesi, Türk dilinin zenginliği konusunda önemli veriler sunacaktır. Ayrıca, belirlenen kelime grupları, yazarın edebî üslubunun anlaşılmasına katkıda bulunacaktır. Çalışmamız giriş, üç bölüm, ve sonuçtan oluşmaktadır. Birinci bölümde Sabahattin Ali'nin hayatı, edebî kişiliği, eserleri ve Yeni Dünya adlı eseri hakkında bilgi verilmiştir. İkinci bölümde kelime gruplarının tanımı, genel özellikleri ve çeşitlerine yer verilmiştir. Üçüncü bölümde Sabahattin Ali'nin Yeni Dünya adlı eserinde yer alan kelime grupları ele alınmıştır. Sonuç bölümünde ise eserde yer alan kelime gruplarının kullanım sayıları tablo ile verilerek çalışma sonlandırılmıştır.The basic elements of a language are words, phrases and sentences. The number of words in languages is limited. But word groups and sentences are unlimited. The richness and beauty of a language is directly linked to the ability of its users to put words together in different combinations. Poets and writers are the ones who make the best use of words both aesthetically and in relation to each other in a wide variety of meanings. Sabahattin Ali is considered one of the important writers of Turkish literature. In this study, the analysis of word groups based on Sabahattin Ali's stories will provide important data about the richness of the Turkish language. Additionally, the identified word groups will contribute to the understanding of the author's literary style. Our study consists of an introduction, three chapters and a conclusion. In the first chapter, information about Sabahattin Ali's life, literary personality, his works and the Yeni Dünya is given. In the second chapter, the definition, general characteristics and types of word groups are given. In the third section, the word groups in Sabahattin Ali's Yeni Dünya are discussed. In the conclusion section, the number of word groups used in the work is given with a table and the study is finalized
The Idealogical side in "Mavahebur Rahman" Interpretation by Allama Amir al Malihabadi
No full textAs everyone knows, belief is the biggest and most important aspect in a Muslim\u27s life, and he tries to propagate the correct belief to the world. Our great Islamic scholars have books and writings in this regard. And Maulana Sayed Amir Ali Malihabadi (1953-1919) is one of the most prominent Islamic scholars of India in recent centuries. He has written on various religious topics. He is the author of the great tafsir of "Mavahebur Rahman". He has addressed various issues in this commentary; And he has expressed ideological debates well and it is mostly based on Sunni religion that in this article we have discussed his preferences in ideological debates. And we have divided this scientific discussion into several topics
Conservation in an Islamic context a case study of Makkah
No full textThe Holy Qu’ rān contains many injunctions for Muslims to respect and conserve the natural environment but few address the built environment. Habitat at the time of the Prophet (PBOH) was in the vernacular and relatively impermanent. The first habitat was the cave, the second the tent and then simple flat roofed buildings of post and lintel construction made of mud and rubble. Later buildings were not indigenous but reflected the architectural styles and techniques of Muslim pilgrims from beyond the Arabian Peninsula. Permanent exotic buildings were later erected as reminders of holy places and events. This work advances a case to restore and preserve historic and religious sites in Makkah, Saudi Arabia. Makkah is the destination for millions of Muslim pilgrims who annually pay homage to Allah during the occasions of Hajj, Ramadan and Umra. The tranquillity and peaceful ambience that one associates with the holiest of Islamic experiences have, over the years, given way to jostling crowds of people who must be expediently housed, fed, transported, and protected. Due to the lack of planning and the insensitive but profitable development of the city, Makkah is in grave danger of becoming a bustling metropolis instead of a sanctuary where pilgrims gather to perform their religious rites and reaffirm their dedication to Allah. The author calls for professional planning and international cooperation to guide future development for this expanding and sensitive area. The author's ideas are grounded in practical and aesthetic study, therefore, the political, environmental and economic issues are examined in relationship to religious, historic and artistic values. The author makes proposals for a future Makkah that would provide pilgrims with the physical comforts, security, and serene environment they deserve—without destroying the city they came to visit. The author discusses preservation and conservation in the western world and the need for their acceptance in Muslim countries, the former being an aesthetic and intellectual concept sustained by law and the latter being the prescribed free expression of the individual unhindered by material considerations. Both worlds are rapidly being overwhelmed by materialism, but body, mind and spirit combine in making us aware of our surroundings and the way in what we see around us has come into being
Assessment the Incidence of Gastrointestinal Problems for Critically Ill Patients in the Intensive Care Unit
No full textAbstract: Gastrointestinal tract has many important functions for critically ill patients especially it maintains immunological functions, decreases infection and promotes better survival rate. Several studies have confirmed that GI symptoms are frequent in the ICU with up to 62% of patients exhibiting at least one GI symptom for at least 1 day. Aim of the Study: This study was conducted to assess the incidence of Gastrointestinal Problems for critically ill patients in the Intensive Care Unit. Materials and Methods: A descriptive exploratory design was utilized was used in this study. Setting the study was conducted at El-fayoum university hospital. The study subjects; A Purposive sample of 60 patients from both genders, with different ages and educational levels were selected for this study. Tools of the study consist of tool of the study consist of Two tools, tool(1) Patient Assessment sheet (2) Modified Gastrointestinal symptoms rating scale (GSRS). Results: A total 60 patients were enrolled in the study with mean age X¯ ± SD (52.40 ± 14.40) .also it was noted that 55.0% of the studied patients were male.it was found that (56.7%) of studied patients have mild gastrointestinal problems. While (1.67%) of the studied patient have severe gastrointestinal problems. Conclusion. About two thirds of studied patient were male, nonsmoker and give feed by oral method. Also neurological and respiratory problems were the majority of causes of ICU admission. Moreover, about more than half of the studied patients have mild gastrointestinal problems, while more than one third of them have moderate gastrointestinal problems (Abdominal pain, Constipation, Diarrhea, Reflux and distention).Recommendations: Replication of the study using a large probability samples acquired from different geographic areas. Incorporate abdominal massage as a routine care for critically ill patients receiving enteral feeding to relieve gastrointestinal problems.
Keywords: Assessment – Critically Ill Patient –Incidence- Gastrointestinal Problems.
Title: Assessment the Incidence of Gastrointestinal Problems for Critically Ill Patients in the Intensive Care Unit
Author: Zeinab Hussein Ali, Tamer sayed Abd El mawla, Ahmed Ali Hafez
International Journal of Novel Research in Healthcare and Nursing
ISSN 2394-7330
Vol. 9, Issue 2, May 2022 - August 2022
Page No: 140-146
Novelty Journals
Website: www.noveltyjournals.com
Published Date: 30-June-2022
DOI: https://doi.org/10.5281/zenodo.6786248
Paper Download Link (Source)
https://www.noveltyjournals.com/upload/paper/Assessment%20the%20Incidence-30062022-6.pdfInternational Journal of Novel Research in Healthcare and Nursing, ISSN 2394-7330, Novelty Journals (Publisher), Website: www.noveltyjournals.co
A Global Mapping System for Bambara Groundnut Production
No full textThis is the first study that estimates the potential production for any underutilised
crop on a global basis. Our long-term aim is to demonstrate how this approach,
initially for bambara groundnut, can be used to assess the potential productivity
of many underutilised food crops at locations beyond their current distribution.
The most significant contributions from this study are the integration of a
weather simulator and a crop simulation model into a Geographical Information
System (GIS) to predict potential production of bambara groundnut over
the globe. The integration came through a coincidence of interests. FAO needed
to improve the knowledge and better use of underutilised crops that can contribute
to the food security of the world s poorest people. For the University of
Nottingham it was an opportunity to provide a geographic basis for their existing
crop model that had been refined by the third author so that predictions of
bambara groundnut potential could be extended to new sites.
Integration of the weather generator and model into a GIS was based on the
experiences gained by the second author in using fish growth models to estimate
potential for fish farming in Africa (FAO, 1998, available at www.fao.org/docrep/
W8522e/W8522E00.htm)
asl-epfl/graph_influence_icassp2020: Learning Graph Influence from Social Interactions
No full textThis code can be used to generate simulations similar to Fig. 1 in the following paper:
Vincenzo Matta, Virginia Bordignon, Augusto Santos, and Ali H. Sayed, ``Learning graph influence from social interactions,'' Proc. IEEE ICASSP, Barcelona, Spain, May 2020. DOI: ICASSP40776.2020.9054244
Fig. 1 is generated executing file 'codefig1.py'.
Please note that the code is not generally perfected for performance, but is rather meant to illustrate certain results from the paper. The code is provided as-is without guarantees.
July 2020 (Author: Virginia Bordignon
asl-epfl/sl-partial-icassp2020: Social Learning with Partial Information (ICASSP2020)
No full textThis code can be used to generate simulations similar to Figs. 1, 2, 3, 4 and 5 in the following paper:
Virginia Bordignon, Vincenzo Matta, and Ali H. Sayed, ``Social learning with partial information sharing,'' Proc. IEEE ICASSP, Barcelona, Spain, May 2020. DOI: ICASSP40776.2020.9052947
Figs. 1 and 2 are generated executing file 'codefig12.py'.
Fig. 3 is generated executing file 'codefig3.py'.
Fig. 4 is generated executing file 'codefig4.py'.
Fig. 5 is generated executing file 'codefig5.py'.
Please note that the code is not generally perfected for performance, but is rather meant to illustrate certain results from the paper. The code is provided as-is without guarantees.
July 2020 (Author: Virginia Bordignon
asl-epfl/asl-eusipco2020: Adaptation in Online Social Learning (EUSIPCO 2020)
No full textThis code can be used to generate simulations similar to Figs. 1, 2, 3, 4 and 5 in the following paper:
Virginia Bordignon, Vincenzo Matta, and Ali H. Sayed, "Adaptation in online social learning,'' Proc. EUSIPCO, pp. 1-5, Amsterdam, The Netherlands, August 2020. DOI:10.23919/Eusipco47968.2020.9287445
Fig. 1 is generated executing file 'codefig1.py'.
Figs. 2, 3 and 4 are generated executing file 'codefig234.py'.
Please note that the code is not generally perfected for performance, but is rather meant to illustrate certain results from the paper. The code is provided as-is without guarantees.
July 2020 (Author: Virginia Bordignon
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithm
No full textElectrical conductivity (EC) is widely recognized as one of the most essential water quality metrics for predicting salinity and mineralization. In the current research, the EC of two Australian rivers (Albert River and Barratta Creek) was forecasted for up to 10 days using a novel deep learning algorithm (Convolutional Neural Network combined with Long Short-Term Memory Model, CNN-LSTM). The Boruta-XGBoost feature selection method was used to determine the significant inputs (time series lagged data) to the model. To compare the performance of Boruta-XGB-CNN-LSTM models, three machine learning approaches—multi-layer perceptron neural network (MLP), K-nearest neighbour (KNN), and extreme gradient boosting (XGBoost) were used. Different statistical metrics, such as correlation coefficient (R), root mean square error (RMSE), and mean absolute percentage error, were used to assess the models' performance. From 10 years of data in both rivers, 7 years (2012–2018) were used as a training set, and 3 years (2019–2021) were used for testing the models. Application of the Boruta-XGB-CNN-LSTM model in forecasting one day ahead of EC showed that in both stations, Boruta-XGB-CNN-LSTM can forecast the EC parameter better than other machine learning models for the test dataset (R = 0.9429, RMSE = 45.6896, MAPE = 5.9749 for Albert River, and R = 0.9215, RMSE = 43.8315, MAPE = 7.6029 for Barratta Creek). Considering the better performance of the Boruta-XGB-CNN-LSTM model in both rivers, this model was used to forecast 3–10 days ahead of EC. The results showed that the Boruta-XGB-CNN-LSTM model is very capable of forecasting the EC for the next 10 days. The results showed that by increasing the forecasting horizon from 3 to 10 days, the performance of the Boruta-XGB-CNN-LSTM model slightly decreased. The results of this study show that the Boruta-XGB-CNN-LSTM model can be used as a good soft computing method for accurately predicting how the EC will change in rivers
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