110 research outputs found
Correction to: Micro-encapsulation exhibits better protection than nano-encapsulation on phenolics before and after in vitro digestion (Journal of Food Measurement and Characterization, (2024), 18, 12, (9890-9905), 10.1007/s11694-024-02927-7)
No full textThe original version of this article unfortunately contained error in co-author’s affiliation. The affiliation of author Ümit Altuntaş were incorrectly given as Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Istanbul Technical University, Maslak, Istanbul TR-34469, Turkey but should have been Department of Food Engineering, Gümüşhane University, Gümüşhane, Turkey. The original article has been corrected. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024
Ümit Kurt
No full textÜmit Kurt earned his PhD in history at the Strassler Center for Holocaust and Genocide Studies, Clark University in 2016. He is Polonsky Fellow in the Van Leer Institute in Jerusalem. Dr. Kurt is engaged in his work with examining transfer of Armenian wealth, transformation of space, elite-making processes, ordinary perpetrators, collective violence, microhistories, inter-ethnic conflicts, the Armenian genocide, late Ottoman legal-economic history, and early modern Turkish nationalism. He has taught at Clark University, Fresno State University, Hebrew University of Jerusalem, University of Tel Aviv and Sabancı University. He was the recipient of the prestigious Armenian Studies Scholarship Award from the Calouste Gulbenkian Foundation in Lisbon. He worked as a postdoctoral fellow in 2016–17 at the Center for Middle Eastern Studies at Harvard University. He is the author of Antep 1915: Genocide and Perpetrators (2018) and co-author of The Spirit of the Laws: The Plunder of Wealth in the Armenian Genocide (2015). His forthcoming book, The Armenians of Aintab: The Economics of Genocide in an Ottoman Province, will be published in Spring 2021 by the Harvard University Press.https://commons.erau.edu/genocide-bios/1041/thumbnail.jp
Honey Bee and Honey Bee Products
No full textTürkiye farklı iklim ve coğrafi şartlara sahip olduğu için çok çeşitli bal arı ırklarının merkezi konumundadır. Türkiye’de yaygın olarak Anadolu arısı (Apis mellifera anatolica M.), Kafkasya arısı (Apis mellifera caucasia G.), Suriye Arısı (Apis mellifera syrica), İran arısı (Apis mellifera meda Skorikov, 1929) ırkları bulunmaktadır. Arıcılığın geçmişi Taş Devri ve eski medeniyet çağlarına kadar dayanmaktadır. İspanya'da yapılan kazılarda ortaya çıkarılan M.Ö. 7000 yıllarına ait arı fosil ve resimleri eski çağ insanlarının doğal yaşamlarında arılardan yararlandığını kanıtlamaktadır. Arının kültüre alındığı ilk yer Mısır olup, arıcılığın ise ilk defa 7000 yıl önce Orta Anadolu’da başladığı bilinmektedir. Literatürde Mısırlılarda arıcılığın daha da geliştiği, 4.000 yıl öncesinde balın malların alım satımında takas malzemesi olduğu ve vergi ödemede kullanıldığı belirtilmektedir. Günümüzde arıcılık sektörü oldukça gelişmiş ve bal dışında diğer arı ürünlerinin önemi de araştırmacılar tarafından keşfedilmiştir. Bal dışındaki diğer arı ürünleri arasında propolis, arı sütü, polen, arı ekmeği (Perga), arı zehiri ve balmumu yer almaktadır. Bu çalışmada arı ürünlerinin tanıtılması, beslenme ve sağlık açısından önemlerinin vurgulanması amaçlanmaktadır
RETRACTED: Color and texture analysis on emerging parallel architectures
No full text The following article has been retracted from publication in International Journal of High Performance Computing Applications due to duplicate publication arising from error. Color and texture analysis on emerging parallel architectures Francisco D Igual, Rafael Mayo, Timothy DR Hartley, Ümit V Çatalyürek, Antonio Ruiz, and Manuel Ujaldon, International Journal of High Performance Computing Applications August 2012 26:237-259. Below version of the article stands as the version on record. Color and texture analysis using emerging parallel architectures Francisco D Igual, Rafael Mayo, Timothy DR Hartley, Ümit V Çatalyürek, Antonio Ruiz, and Manuel Ujaldon, International Journal of High Performance Computing Applications November 2011 25: 404-427. Our special thanks to the author for drawing attention to the duplication, thereby allowing for the literature to be corrected. </jats:p
Polisiye Roman Temsilcisi Ümit Deniz'in Romanlarında Cinayet Kurgusu
No full textModern zamanlara özgü bir tür olan polisiye roman, kentleşme ile gelişmeye başlayan burjuvazinin sosyal bunalımlarını suç merkezli olarak ele alır. Suçlunun topluma uyumsuz kişiler olarak yansıtıldığı bu romanlarda, cinayetlere fazla yer verilmesi, modern insan zihninde ölümün sıradanlaşmasına yol açar. Batı romanında rasyonel analitik düşünme zenginliği ile kurguya taşınan bu tarz, geniş okur kitlelelerine hitap eder. Gizem, merak, gerilim, suç, katil gibi asli ögelerin kullanıldığı bu romanlarda okurun olay halkalarını takip ederek uyanık tutulması asıl amaçtır. Modern zamanlarda cinayetin ciddi bir sosyolojik vak'aya dönüşmesi, edebiyatın bu olguya ilgisini arttırmıştır. Edebiyat, bu olgunun arkasında yatan psikolojik saikleri deşifre etmeyi bir sanat formasyonu olarak ele almak durumundadır. Yer yer kriminolojik bilgileri de romanlarında kullanan yazarlar, cinayeti, verimli bir tema olarak romanlarında işlerler. Ümit Deniz'in yedi romanının incelendiği bu çalışmada yazarın cinayet kurgusunu nasıl ele aldığı, işlenen cinayetlerin toplum üzerindeki psikolojik etkileri irdelenmeye çalışılmıştır. Yazarın romanlarında kullandığı tekniklerin de sorgulandığı bu çalışma, Türk Edebiyatı'ndaki polisiyenin Batı'dakinden farkını da ele almayı amaçlamaktadır. Ümit Deniz'in romanlarında yer verdiği ana karakterler, benzer cinayet kurguları, modern ve geleneksel motifler, devrik öyküleme metodu, yazarın romanlarını canlı tutma adına başvurduğu kurgusal araçlar vb. özellikler teknik ve kuramsal açıdan irdelenmiştir. İncelenen romanların gerek olay örüntüleri gerekse kurgusal kusurları metin merkezli eleştiriye tabi tutulmuşturCrime fiction, a genre that arose in modern times, deals with the social depression of the bourgeoisie class, which grew bigger in parallel with urbanization. In this genre, the social depression experienced by the modern individual is handled from a crime-centered point of view. The criminal is presented as an afflicted person who suffers from adaptation problems in society. The fact that murder takes a lot of space in these novels turns the concept of death into something ordinary in the minds of modern individuals. This style is carried into fiction through the richness of the rational analytical thinking in Western novels and attracts a large number of readers. The essential elements being mystery, intrigue, tension, crime and murder, the reader is kept alert and interested to follow the sequence of events. The aim of this study is to examine Umit Deniz’s method of creating a murder plot and in the light of the author’s seven novels to look into the psychological impact of murder on society. The techniques that the author makes use of in his writing process are also examined in order to shed light on the difference between crime fiction in Turkish Literature and crime fiction in the West. The main characters, murder plots, modern and traditional patterns, the use of inverted sentences, the fictional means that the author uses in order to keep the story flowing, are reviewed from a technical and theoritical point of view. The plot and any defects therein are criticized from a text-centered point of view
Pi centered Discrete Exponential Energy Distribution Model
No full text**Title:** π-Centered Discrete Exponential Energy Distribution Model
**Author:** Ümit Arslan
**Contact:** [email]
**Date:** [Submission Date]
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### **Abstract**
This study examines the energy distribution model E = e^(-|x-π|) defined over integer x values. The energy spectrum was analyzed according to rational/irrational x values, characterized by normalized distribution and Fourier transform.
**Keywords:** exponential distribution, π, discrete energy spectrum
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### **1. Introduction**
Energy distribution models are widely used in physics. This study presents a new exponential distribution centered at π and defined over integers.
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### **2. Methods**
**2.1 Model**
Energy formula:
E(x) = e^(-|x-π|)
x = 1,2,...,2000
**2.2 Normalization**
E_norm(x) = E(x) / ΣE(x)
**2.3 Analysis Methods**
- Rational/irrational classification
- Fourier spectrum analysis
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### **3. Results**
**3.1 Energy Distribution**
- Maximum energy: at x=3 (E≈0.935)
- Normalized sum: 1.0
**3.2 Spectrum Characteristics**
| Property | Rational x | Irrational x |
|----------|-----------|-------------|
| Avg. E | 0.0021 | 0.0018 |
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### **4. Discussion**
Model's novel aspects:
1. π-centered discrete structure
2. Connection to number theory
Potential applications: quantum systems, data analysis
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### **5. Conclusion**
A new energy distribution model is presented. Future work should explore continuous extension.
---
### **References**
1. Boltzmann, L. (1868). On magnetic theory.
2. Quantum AI (2023). Nature.
---
**Supplementary Material**
- Data and code: [GitHub link]
- No conflicts of interest
**Suggested Journal:** Journal of Mathematical Physics
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A sufism with an unknow author, dated hijri 900 (M. 1494)
No full textBu çalışma, müellifi bilinmeyen bir tasavvuf risalesinin edebiyat alanına kazandırılması amacıyla yapılmıştır. Çalışma; "İnceleme", "Metin" ve "Sözlük" bölümlerinden oluşmaktadır. İnceleme bölümünde, metin dilbilgisel anlamda başlıklar altında incelenmiştir. Her başlık ayrıntılı olarak açıklanmış ve yine her başlık için ayrı ayrı örnekler verilmiştir. Metin bölümünde, Arap alfabesi ile verilen orijinal metin Latin alfabesine aktarılmıştır. Sözlük bölümünde ise metinde yer alan ve anlamı bilinmeyen kelimelerin anlamları verilmiştir. Yapılan çalışma, "sonuç" bölümü ile sona erdirilmiştir. Eserle ilgili genel bir değerlendirme yapılmıştır.This study was carried out in order to bring a sufi prophecy of unknown author to the field of literature. Work; It consists of "Review", "Text" and "Dictionary" sections. In the examination section, the text is examined under titles in grammatical sense. Each title is explained in detail and examples are given separately for each title. In the text section, the original text given with the Arabic alphabet is transferred to the Latin alphabet. In the dictionary section, the meanings of the words in the text that are not known are given. The study was concluded with the "conclusion" section. A general evaluation about the work has been made
Nı Labview ile Optik Kağıt Okuma Uygulamasının Geliştirilmesi ve Uygulaması
No full textKıcık, Ümit (Arel Author)This study aims to develop a software, which can read the test type examination paper with less effort under low cost. The software is based on optical mark recognition system in order to read multiple choice test exams answer sheets based on image processing. The reading and evaluation of exam papers is an important activity that takes a significant portion of the trainers' time. Accurate implementation of this process is extremely important in terms of evaluation of education. In the application part of this work, a software realized by using the NI LabVIEW software was used to automatically read answer papers scanned in JPEG format in any copier without the need for an optical reading device. The preliminary tests of the developed software were made with 50 answer papers prepared and it was seen that successful results were obtained. The system, which requires only a computer and JPEG format scanning, is evaluated to have the potential to be used by a much wider set of teachers besides simplicity and high speed and accuracy compared to expensive optical reading devices
Does income growth affect renewable energy or carbon emissions first? A Fourier-based analysis for renewable and fossil energies
No full textEnvironmental issues and global warming continue to drive researchers to investigate the validity of hypotheses regarding the environment. The environmental Kuznets curve (EKC) is the most popular hypothesis in the environmental economics, prompting researchers to propose a new hypothesis based on it. In this framework, the renewable energy Kuznets curve (RKC) hypothesis was proposed as a prerequisite for the EKC. According to the RKC, at the beginning of the economic growth process, an economy tends to use fossil fuels and reduce the use of renewable energy (RE) because fossil fuels are cheap. Then, as economic growth process continues and income reaches a threshold/turning point, the economy begins to rely more on RE sources. Such RE use indicates a U-shaped association between income and RE (the RKC hypothesis). Based on this information, the study compares the validity of EKC and RKC for the United States (USA) and aims to answer the question of whether the increase in per capita income initially increases RE or decreases carbon emissions. To test and compare the EKC and the RKC simultaneously and to capture smooth structural shifts, this paper uses time series techniques based on the Fourier method from 1973 to 2022. This paper presents results that support the validity of RKC and EKC. The outcomes also illustrate that the turning point of income is lower for the RKC hypothesis than for the EKC model. This suggests that the RKC hypothesis is a prerequisite for the EKC hypothesis. In other words, a higher income first helps in the deployment of renewable energies and then in the reduction of carbon emissions. © 2024 The Author
Deciphering Sequence Variations And Splicing Sensitivity: Predictive Analysis Of Psi In Srrm4Response Groups
No full textDeciphering Sequence Variations and Splicing Sensitivity: Predictive Analysis of PSI in SRRM4 Response Groups Ümit Sude Böler1, Burçak Otlu1,* 1Department of Health Informatics, Graduate School of Informatics, Middle East Technical University, Ankara, Turkey Presenting Author: [email protected] *Corresponding Author: [email protected] Microexons, short exonic sequences between 3 and 42 nucleotides, are essential for regulating protein function, particularly in the nervous system. Their abnormal inclusion has been associated with diseases like autism and cancer. This study explores how sequence variations in the upstream intron, microexon variant, and downstream intron aÉect splicing eÉiciency under the regulation of SRRM4, a splicing factor crucial for neural tissue specificity. Leveraging data from a Massively Parallel Alternative Splicing Assay (MaPSy) with over 17,500 variants, we assessed splicing sensitivity by measuring Percent Spliced In (PSI) across four SRRM4 expression conditions. We examined key sequence features, including exon and intron length, UGC mutations, and splice site strength, using them to build predictive models for splicing outcomes. Our findings show that deep learning models, particularly those using Conv1D and LSTM layers, outperform traditional methods, with the best model explaining up to 99% of PSI variance. Motif analysis further revealed specific sequence motifs likely to influence PSI, adding to our understanding of SRRM4 responsiveness. In future work, we aim to expand motif discovery to identify significant k-mers across diÉerent SRRM4 conditions, refine LSTM models, and explore additional deep learning architectures. To address potential overfitting, we plan to perform rigorous hyperparameter tuning, apply cross-validation, and incorporate regularization techniques to improve model robustness. These combined eÉorts deepen our understanding of splicing regulation’s molecular underpinnings and oÉer potential for therapeutic interventions in splicing- related neurological disorders. Keywords: Microexon, Massively Parallel Splicing assays </p
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