5 research outputs found
The Seasons Story in Nefhatü'l-Ezhar Masnawi By Nev’i-Zade Atayi
No full textBu makalede, Nev'î-zâde Atâyî'nin Nefhatü'l-Ezhâr mesnevisinin sebeb-i telif bölümünün bir hikâye olarak tahlili yapılmıştır. Atâyî eserinin bu bölümünde birinci teklik şahıs dilinden bir yol hikâyesi anlatır. Hikâyede anlatıcı kahramanın yolculuğu tasavvûfî bir arayış yolculuğudur. Hikâyedeki ben, yazar anlatıcıdır. Kurguda, vahdet arayışı bir gün, dört mevsim ve bir ömür sembolleri üzerinden verilir. Eser üzerine ilk incelemeyi Tunca Kortantamer, Nev'î-zâde Atâyî ve Hamse'si isimli çalışma ile yapmıştır. Muhammet Kuzubaş, Nev’izâde Atâyî’nin Nefhatü’l-Ezhâr Mesnevisi isimli bir çalışma yaparak mesnevinin metnini akademik kullanıma sunmuştur. Hikayedeki yolculuk İslam kültür dünyasının birçok sembolik yolculuk hikâyesi gibi, döngünün tamamlanması ile son bulur. Bu manevî yolculuk, hikâyede, ayrı zaman ve mekân düzlemlerinde anlatılmıştır. Hikâyedeki zamanlar şunlardır: Bir gün (beş vakit), bir yıl (dört mevsim), bir ömür (çocukluk, gençlik, orta yaşlılık, yaşlılık). Kısacası sâlik, manevî yolculuğunda makam değiştirirken mekân ve zaman da değiştirir. Bu makamlardaki anlatım ise tasavvufî yolculukta aşılan "makâm"larda sâlikte tezahür eden "hâl"lerle ilgilidir. Bu makalede Nefhatü’l-Ezhâr’ın “sebeb-i telif” bölümü, modern bir hikâye olarak Göstergebilimin kesitleme yöntemiyle tahlil edilmiştir. İncelemede yer ve zamanın değiştiği beyitler birer kesit kabul edilmiştir. İncelemede her kesit kendi içerisinde değerlendirilirken kesitler arası ilişkiler de dikkate alınmıştır.In this article, the analysis of the “reason for writing” part of Nefhatü’l-Ezhar masnawi by Nev’i-zade Atayi as a story is done. in this part, Atayi tells a travel story in first person singular. in the story, the narrator’s travel is a sufistic search. “I” in the stroy is the author narrator. in the fiction, the search for unity is told through the symbols of one day, four seasons and a lifetime. the first examination on the work is done by Tunca Kortantamer, which is named "Nev'î-zâde Atâyî ve Hamse'si" and Muhammed Kuzubaş, offered the text of mathnawi for the academic use by making a study named "Nev’izâde Atâyî’nin Nefhatü’l-Ezhâr Mesnevisi". in this article, text of the story is used in Kuzubaş publication. the journey of the story is like many symbolic travel stories of the Islamic culture, end with the completion of the return. This spiritual journey on this story, separate time and space are explained. the times in the story are: One day (five times), one year (four seasons), a lifetime (childhood, youth, middle age, old age). in brief, the mystical passenger changes the space and time while changing the position on his spiritual journey. the narrative in this story is about the "makâm" that manifest themselves in the "hâl" that are imposed in the mystical journey. in this article, the "sebeb-i te'lîf" part of Nefhatü’l-Ezhar has been analyzed in accordance with the cross-sections of the semiology by accepting a modern story. These sections are based on time and place changes. While each section is analyzed within itself, the functions of these sections are taken into consideration when connecting the story to the whole
Analysis of foreign direct investment and exchange rate on the Nigerian economic growth
No full textThe study investigated the effect of foreign direct investment and exchange rate on the Nigerian economic growth. The Secondary data used include the aggregate annual time series at current prices for gross domestic product, GDP, INTR, INFLR, EXR, and total net inflows for Foreign Direct Investment, FDI covering the period 1980-2022. The study made used Autoregressive Distributed Lag Model (ARDL) to determine both the short-run and the long-run relationship between the variables. The coefficient of determination (R2) showed the percentage of variations in the dependent variable that can be explained by the independent variables. The R2 of 0.997101 or 99% showed that Economic development can be explained by changes in the explanatory variables as shown in the model and the remaining 1% is explained by the dummy variable. The F-statistic which measures the overall significance of the model indicated that it is significant at 5%. This is indicated by the F-statistics and its probability (44.85634 and 0.004642) respectively. We therefore conclude that there is a significant relationship between foreign direct investment and exchange rate on economic growth in Nigeria. The study recommends among other things that Government should give tax holiday to the newly established industries, as that will encourage indigenous industry thereby leading to economic growth, government also needs to subsidies industrial farm inputs as such will help producers to produce goods at affordable prices thereby reducing inflation in the economy
An Assessment of the Potential Use of Forest Residues for the Production of Bio-Oils in the Urban-Rural Interface of Louisiana
No full textLouisiana is endowed with forest resources. Forest wastes generated after thinning, land clearing, and logging operations, such as wood debris, tree trimmings, barks, sawdust, wood chips, and black liquor, among others, can serve as potential fuels for energy production in Louisiana. This paper aims to evaluate the potential annual volumes of forest wastes established on detailed and existing data on the forest structure in the rural-urban interface of Louisiana. It also demonstrates the state’s prospects of utilizing forest wastes to produce bio-oils. The data specific to the study was deduced from secondary data sources to obtain the annual average total residue production in Louisiana and estimate the number of logging residues available for procurement for bioenergy production. The total biomass production per year was modeled versus years by polynomial regression curve fitting using Microsoft Excel. Results of the model show that the cumulative annual total biomass production for 2025 and 2030 in Louisiana is projected to be 80000000 Bone Dry Ton (BDT) and 16000000 (BDT) respectively. The findings of the study depict that Louisiana has a massive biomass supply from forest wastes for bioenergy production. Thus, the potential for Louisiana to become an influential player in the production of bio-based products from forest residues is evident. The author recommends that future research can use Geographic Information Systems (GIS) to create maps displaying the potential locations and utilization centers of forest wastes for bioenergy production in the state
Machine Learning and External Validation of the IDENTIFY Risk Calculator for Patients with Haematuria Referred to Secondary Care for Suspected Urinary Tract Cancer
No full textBackground: The IDENTIFY study developed a model to predict urinary tract cancer using patient characteristics from a large multicentre, international cohort of patients referred with haematuria. In addition to calculating an individual's cancer risk, it proposes thresholds to stratify them into very-low-risk (<1%), low-risk (1–<5%), intermediate-risk (5–<20%), and high-risk (≥20%) groups. Objective: To externally validate the IDENTIFY haematuria risk calculator and compare traditional regression with machine learning algorithms. Design, setting, and participants: Prospective data were collected on patients referred to secondary care with new haematuria. Data were collected for patient variables included in the IDENTIFY risk calculator, cancer outcome, and TNM staging. Machine learning methods were used to evaluate whether better models than those developed with traditional regression methods existed. Outcome measurements and statistical analysis: The area under the receiver operating characteristic curve (AUC) for the detection of urinary tract cancer, calibration coefficient, calibration in the large (CITL), and Brier score were determined. Results and limitations: There were 3582 patients in the validation cohort. The development and validation cohorts were well matched. The AUC of the IDENTIFY risk calculator on the validation cohort was 0.78. This improved to 0.80 on a subanalysis of urothelial cancer prevalent countries alone, with a calibration slope of 1.04, CITL of 0.24, and Brier score of 0.14. The best machine learning model was Random Forest, which achieved an AUC of 0.76 on the validation cohort. There were no cancers stratified to the very-low-risk group in the validation cohort. Most cancers were stratified to the intermediate- and high-risk groups, with more aggressive cancers in higher-risk groups. Conclusions: The IDENTIFY risk calculator performed well at predicting cancer in patients referred with haematuria on external validation. This tool can be used by urologists to better counsel patients on their cancer risks, to prioritise diagnostic resources on appropriate patients, and to avoid unnecessary invasive procedures in those with a very low risk of cancer. Patient summary: We previously developed a calculator that predicts patients’ risk of cancer when they have blood in their urine, based on their personal characteristics. We have validated this risk calculator, by testing it on a separate group of patients to ensure that it works as expected. Most patients found to have cancer tended to be in the higher-risk groups and had more aggressive types of cancer with a higher risk. This tool can be used by clinicians to fast-track high-risk patients based on the calculator and investigate them more thoroughly
