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Mean curve length: An efficient feature for brainwave biometrics
Yahyaei, Reza; Özkurt, Tolga Esat (2022-07-01)
Electroencephalography (EEG) as a biometric modality has gained considerable interest in recent years. Many state-of-the-art methods have focused on increasing the recognition accuracy. However, the more complex and manipu...
Automated question generation and question answering from Turkish texts using text-to-text transformers
Akyön, Fatih Çağatay; Çavuşoğlu, Devrim; Cengiz, Cemil; Altınuç, Sinan Onur; Temizel, Alptekin (2022-05-01)
Design and synthesis of novel substituted indole-acrylamide derivatives and evaluation of their anti-cancer activity as potential tubulin-targeting agents
Hawash, Mohammed; Kahraman, Deniz Cansen; OLĞAÇ, ABDURRAHMAN; Ergun, Sezen Guntekin; Hamel, Ernest; Cetin-Atalay, Rengul; BAYTAŞ, SULTAN (2022-04-01)
Novel compounds containing polar and nonpolar substitutions on the prop-2-en-1-on linker of the trans-indol-3-ylacrylamide scaffold were designed by modeling within the colchicine site of tubulin and then synthesized to de...
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Kani, Haluk Tarık; Ergenç, İlkay; Polat, Görkem; Özen Alahdab, Yeşim; Temizel, Alptekin; Atuğ, Özlen (2022-04-01)
A method for integrated business process modeling and ontology development
COŞKUNÇAY, Ahmet; Demirörs, Onur (2022-04-01)
Purpose From knowledge management point of view, business process models and ontologies are two essential knowledge artifacts for organizations that consume similar information sources. In this study, the PROMPTUM method f...
Performance in the Workplace: a Critical Evaluation of Cognitive Enhancement
Acartürk, Cengiz; Mücen, Barış (2022-04-01)
The popular debates about the future organization of work through artificial intelligence technologies focus on the replacement of human beings by novel technologies. In this essay, we oppose this statement by closely foll...
Functional stratification of cancer drugs through integrated network similarity
Beyge, Seyma Unsal; Tunçbağ, Nurcan (2022-04-01)
Drugs not only perturb their immediate protein targets but also modulate multiple signaling pathways. In this study, we explored networks modulated by several drugs across multiple cancer cell lines by integrating their ta...
Context dependent isoform specific PI3K inhibition confers drug resistance in hepatocellular carcinoma cells.
Narci, Kubra; Kahraman, Deniz Cansen; Koyas, Altay; Ersahin, Tulin; Tuncbag, Nurcan; Atalay, Rengul Cetin (2022-03-24)
Background: Targeted therapies for Primary liver cancer (HCC) is limited to the multi-kinase inhibitors, and not fully effective due to the resistance to these agents because of the heterogeneous molecular nature of HCC de...
A process assessment model for big data analytics
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Big data analytics (BDA) grasp the potential of generating valuable insights and empowering businesses to support their strategic decision-making. However, although organizations are aware of BDAs’ potential opportunities,...
Learning functional properties of proteins with language models
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Deep learning methods have in recent years shown promising results in characterizing proteins and extracting complex sequence-structure-function relationships. This Analysis describes a benchmarking study to compare the pe...
A Machine Learning Ensembling Approach to Predicting Transfer Values
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Text reading in English as a second language: Evidence from the Multilingual Eye-Movements Corpus
Kuperman, Victor; et. al. (2022-03-01)
Research into second language (L2) reading is an exponentially growing field. Yet, it still has a relatively short supply of comparable, ecologically valid data from readers representing a variety of first languages (L1). ...
Visualization in virtual reality: a systematic review
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Rapidly growing virtual reality (VR) technologies and techniques have gained importance over the past few years, and academics and practitioners have been searching for efficient visualizations in VR. To date, emphasis has...
Key lengths revisited: GPU-based brute force cryptanalysis of DES, 3DES, and PRESENT
Tezcan, Cihangir (2022-03-01)
Lightweight cryptographic algorithms that are tailored for resource-constrained devices sometimes use short keys which might be susceptible to brute force attacks. Such attacks using CPU or GPU might be costly because some...
Hand Pronation-Supination Movement as a Proxy for Remotely Monitoring Gait and Posture Stability in Parkinson's Disease
Cakmak, Yusuf Ozgur; Olcek, Can; Ozsoy, Burak; Khwaounjoo, Prashanna; Kiziltan, Gunes; Apaydin, Hulya; Gunduz, Aysegul; Oztop Cakmak, Ozgur; Ertan, Sibel; Gursoy-Ozdemir, Yasemin; Gökçay, Didem (2022-03-01)
The Unified Parkinson's Disease Rating Scale (UPDRS) is a subjective Parkinson's Disease (PD) physician scoring/monitoring system. To date, there is no single upper limb wearable/non-contact system that can be used objecti...
Expanding horizons of cross-linguistic research on reading: The Multilingual Eye-movement Corpus (MECO)
Siegelman, Noam; et. al. (2022-02-01)
Scientific studies of language behavior need to grapple with a large diversity of languages in the world and, for reading, a further variability in writing systems. Yet, the ability to form meaningful theories of reading i...
An investigation of the relationship between joint visual attention and product quality in collaborative business process modeling: a dual eye-tracking study
Fındık Coşkunçay, Duygu; Çakır, Murat Perit (2022-02-01)
Collaborative business process modeling is a collective activity where team members jointly discuss, design, and document business processes. During such activities, team members need to communicate with each other to coor...
A genomic snapshot of demographic and cultural dynamism in Upper Mesopotamia during the Neolithic Transition
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Upper Mesopotamia played a key role in the Neolithic Transition in Southwest Asia through marked innovations in symbolism, technology, and foodways. We present thirteen ancient genomes (c.8500-7500 calBCE) from Pre-Pottery...
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Smart cities (SC) have emerged as a hope for urbans that face challenges and sustainability issues due to rapid urbanization. SC services can make the daily routines more efficient, create more public value, and improve th...
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Semantic segmentation is the pixel-wise labeling of an image. Boosted by the extraordinary ability of convolutional neural networks (CNN) in creating semantic, high-level and hierarchical image features; several deep learn...
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