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Perceptual Analysis Of Distance Sampling And Transmittance Estimation Techniques In Biomedical Volume Visualization, Raazia Sosan, Muhammad Mobeen Movania, Shama Siddiqui
Perceptual Analysis Of Distance Sampling And Transmittance Estimation Techniques In Biomedical Volume Visualization, Raazia Sosan, Muhammad Mobeen Movania, Shama Siddiqui
Turkish Journal of Electrical Engineering and Computer Sciences
In volumetric path tracer, distance sampling and transmittance estimation techniques play a vital role in producing high-quality final rendered images. Previously, these techniques were implemented for production volume rendering, and were analyzed for faster convergence. In this article, we have augmented additional transmittance estimators including ratio tracking, residual ratio tracking and unbiased ray marcher in a GPU-based volumetric path tracer (Exposure Render) for biomedical datasets. We have also analyzed distance sampling methods and transmittance estimators perceptually using CIEDE2000 and Structural Similarity Index (SSIM). It was found that ratio and residual ratio tracking estimators performed close to each other and were …
A New Approach For Congestive Heart Failure And Arrhythmia Classification Using Downsampling Local Binary Patterns With Lstm, Süleyman Akdağ, Fatma Kuncan, Yilmaz Kaya
A New Approach For Congestive Heart Failure And Arrhythmia Classification Using Downsampling Local Binary Patterns With Lstm, Süleyman Akdağ, Fatma Kuncan, Yilmaz Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
Electrocardiogram (ECG) is a vital diagnosis approach for the rapid explication and detection of various heart diseases, especially cardiac arrest, sinus rhythms, and heart failure. For this purpose, in this study, a different perspective based on downsampling one-dimensional-local binary pattern (1D-DS-LBP) and long short-term memory (LSTM) is presented for the categorization of Electrocardiogram (ECG) signals. A transformation method named 1DDS-LBP has been presented for Electrocardiogram signals. The 1D-DS-LBP method processes the bigness smallness relationship between neighbors. According to the proposed method, by downsampling the signal, the histograms of 1D local binary patterns (1D-LBP) calculated from the obtained signal groups are …
A New Network-Based Community Detection Algorithm For Disjoint Communities, Peli̇n Çeti̇n, Şahi̇n Emrah Amrahov
A New Network-Based Community Detection Algorithm For Disjoint Communities, Peli̇n Çeti̇n, Şahi̇n Emrah Amrahov
Turkish Journal of Electrical Engineering and Computer Sciences
A community is a group of people that shares something in common. The definition of the community can be generalized as things that have common properties. By using this definition, community detection can be used to solve different problems in various areas. In this study, we propose a new network-based community detection algorithm that can work on different types of datasets. The proposed algorithm works on unweighted graphs and determines the weight by using cosine similarity. We apply a bottom-up approach and find the disjoint communities. First, we accept each node as an independent community. Then, the merging process is …
Chemical Disease Relation Extraction Through The Combination Of Multiple Mention Levels: Relscan+, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş
Chemical Disease Relation Extraction Through The Combination Of Multiple Mention Levels: Relscan+, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş
Turkish Journal of Electrical Engineering and Computer Sciences
Chemical-induced disease (CID) relation extraction has been pivotal in the understanding of biological processes. A CID relation between a chemical and disease entity may be extracted either from a single sentence or from two or more adjacent sentences. We use `intrasentence level' to refer to the mention of the desired entities in the same sentence and `intersentence level? to refer to the mention of these entities in two or more adjacent sentences. This study proposes a three-phase architecture for extracting CID relations from biomedical literature by considering both sentence levels and additionally the combination of these two sentence levels which …
Design And Implementation Of A Low Cost And Portable Tactile Stimulator, Coşkun Kazma, Vecdi̇ Emre Levent, Merve Çardak, Ni̇zametti̇n Aydin
Design And Implementation Of A Low Cost And Portable Tactile Stimulator, Coşkun Kazma, Vecdi̇ Emre Levent, Merve Çardak, Ni̇zametti̇n Aydin
Turkish Journal of Electrical Engineering and Computer Sciences
When central nervous system has a problem, somatic area I and II respond to stimulation differently. Therefore, it is possible to identify some of the central nervous diseases when somatosensory on the fingertip is stimulated and responses are recorded and analyzed. We designed a system to stimulate the mechanoreceptors on fingertips. It is composed of a mechanical system for fingertip stimulation, an embedded controller, a control computer, and a software to control overall operation. During test, mechanoreceptors are stimulated according to the test protocols. Individuals' answers are recorded to be evaluated by the developed software. In this study, several design …
Breast Cancer-Caps: A Breast Cancer Screening System Based On Capsule Network Utilizing The Multiview Breast Thermal Infrared Images, Devanshu Tiwari, Manish Dixit, Kamlesh Gupta
Breast Cancer-Caps: A Breast Cancer Screening System Based On Capsule Network Utilizing The Multiview Breast Thermal Infrared Images, Devanshu Tiwari, Manish Dixit, Kamlesh Gupta
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposed an accurate and fully automated breast cancer early screening system called the "Breast Cancer-Caps". The capsule network is used in this approach for the cancer detection in breast utilizing the thermal infrared images for the first time. This capsule network is trained with the help of Dynamic as well as Static breast thermal images dataset consisting of left, right, frontal views along with a new multiview thermal images. These multiview breast thermal images are fabricated by concatenating the conventional left, frontal and right view breast thermal images. The other current and popular deep transfer learning models such …
Degree-Based Random Walk Approach For Graph Embedding, Sarmad N. Mohammed, Semra Gündüç
Degree-Based Random Walk Approach For Graph Embedding, Sarmad N. Mohammed, Semra Gündüç
Turkish Journal of Electrical Engineering and Computer Sciences
Graph embedding, representing local and global neighbourhood information by numerical vectors, is a crucial part of the mathematical modeling of a wide range of real-world systems. Among the embedding algorithms, random walk-based algorithms have proven to be very successful. These algorithms collect information by creating numerous random walks with a predefined number of steps. Creating random walks is the most demanding part of the embedding process. The computation demand increases with the size of the network. Moreover, for real-world networks, considering all nodes on the same footing, the abundance of low-degree nodes creates an imbalanced data problem. In this work, …
Prediction Of Broken Rotor Bar In Induction Motor Using Spectral Entropy Features And Tlbo Optimized Svm, Sudip Halder, Sunil Bhat, Bimal Dora
Prediction Of Broken Rotor Bar In Induction Motor Using Spectral Entropy Features And Tlbo Optimized Svm, Sudip Halder, Sunil Bhat, Bimal Dora
Turkish Journal of Electrical Engineering and Computer Sciences
The information of the fault frequency characteristics is of great importance for all associated fault diag nostics. This requires a high-resolution spectrum analysis to achieve efficient monitoring of machinery faults, especially while diagnosing rotor bar breakage under light load conditions, because the fault frequencies almost overlap with the fundamental. In this context, rather than looking for frequencies associated with rotor faults, several frequency bands are observed separately in terms of the entropy contained within these bands. First, the motor current signal has been divided into several frequency bands using the continuous wavelet transform (CWT), and the spectral entropy is calculated …
Automatic Keyword Assignment System For Medical Research Articles Using Nearest-Neighbor Searches, Fati̇h Di̇lmaç, Adi̇l Alpkoçak
Automatic Keyword Assignment System For Medical Research Articles Using Nearest-Neighbor Searches, Fati̇h Di̇lmaç, Adi̇l Alpkoçak
Turkish Journal of Electrical Engineering and Computer Sciences
Assigning accurate keywords to research articles is increasingly important concern. Keywords should be selected meticulously to describe the article well since keywords play an important role in matching readers with research articles in order to reach a bigger audience. So, improper selection of keywords may result in less attraction to readers which results in degradation in its audience. Hence, we designed and developed an automatic keyword assignment system (AKAS) for research articles based on k-nearest neighbor (k-NN) and threshold-nearest neighbor (t-NN) accompanied with information retrieval systems (IRS), which is a corpus-based method by utilizing IRS using the Medline dataset in …
Analysis Of Tissue Electrical Properties On Bio-Impedance Variation Of Upper Limps, Enver Salkim
Analysis Of Tissue Electrical Properties On Bio-Impedance Variation Of Upper Limps, Enver Salkim
Turkish Journal of Electrical Engineering and Computer Sciences
Upper limb loss has a significant impact on individual socioeconomic life. Human-machine interface (HMI) using surface electromyography (sEMG) establishes a link between the user and a hand prosthesis to recognize hand gestures and motions which allows the control of robotic machines and prostheses to perform dexterous tasks. Numerous methods aimed to enhance hand gesture and motion recognition toward an HMI. Bio-impedance analysis (BIA) is a noninvasive way of assessing body compositions and has been recently used for hand motion interpretation using `brute force? pattern recognition. The impedance variation in the body mostly depends on the precise stimulation using appropriate electrical …
A New Automatic Bearing Fault Size Diagnosis Using Time-Frequency Images Of Cwt And Deep Transfer Learning Methods, Yilmaz Kaya, Fatma Kuncan, Hüseyi̇n Meti̇n Ertunç
A New Automatic Bearing Fault Size Diagnosis Using Time-Frequency Images Of Cwt And Deep Transfer Learning Methods, Yilmaz Kaya, Fatma Kuncan, Hüseyi̇n Meti̇n Ertunç
Turkish Journal of Electrical Engineering and Computer Sciences
Bearings are generally used as bearings or turning elements. Bearings are subjected to high loads and rapid speeds. Furthermore, metal-to-metal contact within the bearing makes it sensitive. In today?s machines, bearing failures disrupt the operation of the system or completely stop the system. Bearing failures that can occur can cause enormous damage to the entire system. Therefore, it is necessary to anticipate bearing failures and to carry out a regular diagnostic examination. Various systems have been developed for fault diagnosis. In recent years, deep transfer learning (DTL) methods are often preferred in current bearing diagnosis models, as they provide time …
Interval Observer-Based Supervision Of Nonlinear Networked Control Systems, Afef Najjar, Thach Ngoc Dinh, Messaoud Amairi, Tarek Raissi
Interval Observer-Based Supervision Of Nonlinear Networked Control Systems, Afef Najjar, Thach Ngoc Dinh, Messaoud Amairi, Tarek Raissi
Turkish Journal of Electrical Engineering and Computer Sciences
Networked control system (NCS) is a multidisciplinary area that attracts increasing attention today. In this paper, we deal with remote supervision of a nonlinear networked control systems class subject to network imperfections. Different from many existing researches that consider only the problem of small and/or constant communication delays, we focus on large and time-varying network delays problem in both measurement and control channels. The proposed method is a set-membership estimation-based predictor approach computing a guaranteed set of admissible state values when the uncertainties (i.e. measurement noises and system disturbances) are considered unknown but bounded with a priori known bounds. The …
An Efficient End-To-End Deep Neural Network For Interstitial Lung Disease Recognition And Classification, Masum Shah Junayed, Afsana Ahsan Jeny, Md Baharul Islam, Ikhtiar Ahmed, Afm Shahen Shah
An Efficient End-To-End Deep Neural Network For Interstitial Lung Disease Recognition And Classification, Masum Shah Junayed, Afsana Ahsan Jeny, Md Baharul Islam, Ikhtiar Ahmed, Afm Shahen Shah
Turkish Journal of Electrical Engineering and Computer Sciences
The automated Interstitial Lung Diseases (ILDs) classification technique is essential for assisting clinicians during the diagnosis process. Detecting and classifying ILDs patterns is a challenging problem. This paper introduces an end-to-end deep convolution neural network (CNN) for classifying ILDs patterns. The proposed model comprises four convolutional layers with different kernel sizes and Rectified Linear Unit (ReLU) activation function, followed by batch normalization and max-pooling with a size equal to the final feature map size well as four dense layers. We used the ADAM optimizer to minimize categorical cross-entropy. A dataset consisting of 21328 image patches of 128 CT scans with …
A Novel Deep Reinforcement Learning Based Stock Price Prediction Using Knowledge Graph And Community Aware Sentiments, Anil Berk Altuner, Zeynep Hi̇lal Ki̇li̇mci̇
A Novel Deep Reinforcement Learning Based Stock Price Prediction Using Knowledge Graph And Community Aware Sentiments, Anil Berk Altuner, Zeynep Hi̇lal Ki̇li̇mci̇
Turkish Journal of Electrical Engineering and Computer Sciences
Stock market prediction has been an important topic for investors, researchers, and analysts. Because it is affected by too many factors, stock market prediction is a difficult task to handle. In this study, we propose a novel method that is based on deep reinforcement learning methodologies for the prediction of stock prices using sentiments of community and knowledge graph. For this purpose, we firstly construct a social knowledge graph of users by analyzing relations between connections. After that, time series analysis of related stock and sentiment analysis is blended with deep reinforcement methodology. Turkish version of Bidirectional Encoder Representations from …
Classification And Phenological Staging Of Crops From In Situ Image Sequences By Deep Learning, Uluğ Bayazit, Deni̇z Turgay Altilar, Ni̇lgün Güler Bayazit
Classification And Phenological Staging Of Crops From In Situ Image Sequences By Deep Learning, Uluğ Bayazit, Deni̇z Turgay Altilar, Ni̇lgün Güler Bayazit
Turkish Journal of Electrical Engineering and Computer Sciences
Accurate knowledge of crop type information is not only valuable for verifying the declaration of farmers to obtain subsidy or insurance for the grown crop, but also for generating crop type maps that serve a variety of purposes in land monitoring and policy. On the other hand, accurate knowledge of crop phenological stage can help farm personnel apply fertilization and irrigation regimes on a timely basis. Although deep learning based networks have been applied in the past to classify the type and predict the phenological stage of crops from in situ images of fields, more advanced deep learning based networks, …
Learning Target Class Eigen Subspace (Ltc-Es) Via Eigen Knowledge Grid, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Learning Target Class Eigen Subspace (Ltc-Es) Via Eigen Knowledge Grid, Sanjay Kumar Sonbhadra, Sonali Agarwal, P. Nagabhushan
Turkish Journal of Electrical Engineering and Computer Sciences
In one-class classification (OCC) tasks, only the target class (class-of-interest (CoI)) samples are well defined during training, whereas the other class samples are totally absent. In OCC algorithms, the high dimensional data adds computational overhead apart from its intrinsic property of curse of dimensionality. For target class learning, conventional dimensionality reduction (DR) techniques are not suitable due to negligence of the unique statistical properties of CoI samples. In this context, the present research proposes a novel target class guided DR technique to extract the eigen knowledge grid that contains the most promising eigenvectors of variance-covariance matrix of CoI samples. In …
A Novel Fault Detection Approach Based On Multilinear Sparse Pca: Application Onthe Semiconductor Manufacturing Processes, Riadh Toumi, Yahia Kourd, Dimitri Lefebvre
A Novel Fault Detection Approach Based On Multilinear Sparse Pca: Application Onthe Semiconductor Manufacturing Processes, Riadh Toumi, Yahia Kourd, Dimitri Lefebvre
Turkish Journal of Electrical Engineering and Computer Sciences
Batch processes are extremely important to researchers since they are widely used in many fields such as biochemistry, pharmacy, and semiconductors. The powerful batch detection method is critical to increase the performance of the overall equipment and to reduce the use of check wafers. Many techniques have been used in batch process monitoring. Among them, the multivariate statistical process control (MSPC) is very useful in batch process monitoring because of the large number of records data. Therefore, batch processes have certain characteristics, such as multimodal batch nonlinearity trajectories, which were challenged by these MSPCs. In this paper, a novel process …
Microwave Hyperthermia Application With Bioimplant Single Slot Coaxial Antennadesign For Mouse Breast Cancer Treatment, Ahmet Ri̇fat Görgün, Cem Baytöre, Selçuk Çömlekçi̇, Mehmet İbrahi̇m Tuğlu, Adnan Kaya
Microwave Hyperthermia Application With Bioimplant Single Slot Coaxial Antennadesign For Mouse Breast Cancer Treatment, Ahmet Ri̇fat Görgün, Cem Baytöre, Selçuk Çömlekçi̇, Mehmet İbrahi̇m Tuğlu, Adnan Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a novel animal model for the breast cancer treatment which contains hyperthermia is proposed. For this main purpose a low cost, interstitial, bioimplant antenna by short ended single slot design is proposed to heat the cancerous tissues. Both the theoretical background of the proposed system and the simulation and measurement results of antenna design are presented. An artificial tissue phantom model has been created under laboratory conditions and then the utility of the proposed antenna has been tested on this model. Artificial tissues have been heated by 25W to (41-44 ? C) in a short time like …
Photonic Integrated Circuit-Assisted Optical Time-Domainreflectometer System, Mehmet Cengi̇z Onbaşli
Photonic Integrated Circuit-Assisted Optical Time-Domainreflectometer System, Mehmet Cengi̇z Onbaşli
Turkish Journal of Electrical Engineering and Computer Sciences
Optical time-domain reflectometers (OTDR) are photonic systems that consist of an interrogator, a receiver and a fiber optical cable and have applications in telecommunications, security, environmental monitoring, distributed temperature and strain sensing. Since OTDR systems are bulk optical setups that consume multiple Watts of power, have large mass and volume footprint and are vulnerable to thermal drift, deployment of OTDR systems in the field is expensive, complicated and may not necessarily yield accurate sensing results. Thus, a compact, low-power, inexpensive and thermal drift-free OTDR system needs to be developed for improving the accuracy and the viability of OTDR in the …
Design And Manufacture Of Electromagnetic Absorber Composed Of Boricacid-Incorporated Wastepaper Composites, Ali̇ İhsan Kaya, Ahmet Çi̇fci̇, Fi̇li̇z Kirdioğullari, Mesud Kahri̇man, Osman Çerezci̇
Design And Manufacture Of Electromagnetic Absorber Composed Of Boricacid-Incorporated Wastepaper Composites, Ali̇ İhsan Kaya, Ahmet Çi̇fci̇, Fi̇li̇z Kirdioğullari, Mesud Kahri̇man, Osman Çerezci̇
Turkish Journal of Electrical Engineering and Computer Sciences
With the effect of technological advances, the use of electrical and electronic devices has increased dramatically in recent years. Wireless technologies and related applications are mostly preferred for the communication of these devices with each other. Thus, people are easily exposed to electromagnetic waves in daily life. The extensive global use of these devices raises the question of their possible biological effects on human health. Also, electromagnetic waves influence the functioning of a nearby device. In this study, an electromagnetic absorber based on boric acid (5, 10, 20, and 30 wt%) added wastepaper was developed. Copper (Cu) and aluminum (Al) …
Transcriptomic Profiling Of Mice Brain Under Bex3 Regulation, Zhimin Xu, Noor Bahadar, Yingxin Zhang, Shuang Tan, Zhongze Wang, Bingyi Ren, Shitao Liu, Huanyan Dai, Yaowu Zheng, Bing Han
Transcriptomic Profiling Of Mice Brain Under Bex3 Regulation, Zhimin Xu, Noor Bahadar, Yingxin Zhang, Shuang Tan, Zhongze Wang, Bingyi Ren, Shitao Liu, Huanyan Dai, Yaowu Zheng, Bing Han
Turkish Journal of Biology
BEX family genes are expressed in various tissues and play significant roles in neuronal development. A mouse model of Bex3 gene knock-out was generated in this study, using the CRISPR-Cas9 system. Transcriptomic analysis of the brain was performed to identify genes and pathways under Bex3 regulation. Essential biological functions under the control of Bex3 related to brain development were identified. Ninety-five genes were differentially expressed under Bex3-/- regulation, with 53 down and 42 up. Among down-regulated genes, LOC102633156 is a member of zf-C2H2, Xlr3a is an X-linked lymphocyte regulated gene, LOC101056144 is a hippocampal related gene, 2210418O10Rik and Fam205a3 are …
Noncoding Rnas In Apoptosis: Identification And Function, Özge Tüncel, Merve Kara, Bi̇lge Yaylak, İpek Erdoğan, Bünyami̇n Akgül
Noncoding Rnas In Apoptosis: Identification And Function, Özge Tüncel, Merve Kara, Bi̇lge Yaylak, İpek Erdoğan, Bünyami̇n Akgül
Turkish Journal of Biology
Apoptosis is a vital cellular process that is critical for the maintenance of homeostasis in health and disease. The derailment of apoptotic mechanisms has severe consequences such as abnormal development, cancer, and neurodegenerative diseases. Thus, there exist complex regulatory mechanisms in eukaryotes to preserve the balance between cell growth and cell death. Initially, protein-coding genes were prioritized in the search for such regulatory macromolecules involved in the regulation of apoptosis. However, recent genome annotations and transcriptomics studies have uncovered a plethora of regulatory noncoding RNAs that have the ability to modulate not only apoptosis but also many other biochemical processes …
Modeling Of C-Terminal Tail Of Human Sting And Its Interaction With Tank-Binding Kinase 1, Rahaf Ata Ouda Al-Masri, Hajara Audu-Bida, Şebnem Eşsi̇z
Modeling Of C-Terminal Tail Of Human Sting And Its Interaction With Tank-Binding Kinase 1, Rahaf Ata Ouda Al-Masri, Hajara Audu-Bida, Şebnem Eşsi̇z
Turkish Journal of Biology
Stimulator of interferon genes (STING) plays a significant role in a cell's intracellular defense against pathogens or self-DNA by inducing inflammation or apoptosis through a pathway known as cGAS-cGAMP-STING. STING uses one of its domains, the C-terminal tail (CTT) to recruit the members of the pathway. However, the structure of this domain has not been solved experimentally. STING conformation is open and more flexible when inactive. When STING gets activated by cGAMP, its conformation changes to a closed state covered by 4 beta-sheets over the binding site. This conformational change leads to its binding to Tank-binding kinase 1 (TBK1). TBK1 …
Ubiquitin Specific Protease 7 Maintains Pluripotency Of Mouse Embryonic Stem Cells Through Stabilization Of Ss-Catenin, Taha Bartu Hayal
Ubiquitin Specific Protease 7 Maintains Pluripotency Of Mouse Embryonic Stem Cells Through Stabilization Of Ss-Catenin, Taha Bartu Hayal
Turkish Journal of Biology
Embryonic stem cells (ESCs), which are derived from the undifferentiated inner cell mass of the embryo, can differentiate every cell type of the body regarding their pluripotency. Therefore, human or mouse ESCs can be used as an unlimited cell source for numerous researches or therapeutical approaches. However, pluripotency maintenance of ESCs during in vitro culture is challenging because of their endless differentiation capacity. In the current study, the effect of USP7 on pluripotency maintenance of mouse ESCs (mESCs) has been investigated with the help of cell viability assay, morphological analysis, alkaline phosphatase (ALP) staining, qPCR analysis, and Western Blotting. 600 …
P110Α Activity At The M-To-G1 Transition Is Critical For Cellular Proliferation And Reentry Into The Cell Cycle, Onur Çi̇zmeci̇oğlu
P110Α Activity At The M-To-G1 Transition Is Critical For Cellular Proliferation And Reentry Into The Cell Cycle, Onur Çi̇zmeci̇oğlu
Turkish Journal of Biology
Phosphoinositide 3-kinase (PI3K) signaling pathway is essential for normal physiology and is impaired in diseases such as premalignant hyperproliferative disorders, primary immunodeficiency, metabolic disorders, and cancer. Although the core PI3K pathway components are known today, a long-standing gap in our knowledge of PI3K signaling concerns how distinct PI3K isoforms and their activity patterns contribute to the functional consequences of pathway upregulation. In order to address this issue, we devised a molecular genetic cell model, which allowed temporal regulation of the indispensable PI3K isoform, p110α in distinct stages of the cell cycle. We found that late M and early G1 …
Cytoplasmically Localized Trna-Derived Fragments Inhibit Translationin Drosophila S2 Cells, Syed Muhammad Hamid, Bünyami̇n Akgül
Cytoplasmically Localized Trna-Derived Fragments Inhibit Translationin Drosophila S2 Cells, Syed Muhammad Hamid, Bünyami̇n Akgül
Turkish Journal of Biology
Transfer ribonucleic acids (tRNAs) serve not only as amino acid carriers during translation but also as a template for the biogenesis of short fragments that can regulate gene expression. Despite recent progress in the function of tRNA-derived fragments (tRFs), their intracellular localization, protein partners, and role in regulating translation are not well understood. We used synthetic tRFs to investigate their localization and function in Drosophila S2 cells. Under our experimental setting, all synthetic tRFs tested were localized at distinct sites within the cytoplasm in a similar manner in Drosophila S2 cells. Cytoplasmically-localized tRFs were positioned in close proximity to GW182 …
Sirna-Mediated Stathmin1 Silencing Inhibits Proliferation Of Prostate Carcinoma Cell Line, Asude Aksoy, Safi̇ye Selcen Vi̇cdanli, Ebru Önalan, Ahmet Tektemur, Gökhan Artaş, Asuman Orhan Varoğlu, Mustafa Koç
Sirna-Mediated Stathmin1 Silencing Inhibits Proliferation Of Prostate Carcinoma Cell Line, Asude Aksoy, Safi̇ye Selcen Vi̇cdanli, Ebru Önalan, Ahmet Tektemur, Gökhan Artaş, Asuman Orhan Varoğlu, Mustafa Koç
Turkish Journal of Biology
Stathmin1 (STMN1) has been proposed as a possible prognostic marker and a potential therapeutic target for some cancers. We aimed to analyze the changes in autophagy, invasion, apoptosis-related genes in prostate cancer (PCa) cell line (PC-3), after small interfering RNA (siRNA)-mediated STMN1 silencing, and also the relationships of STMN1 expression, clinicopathological parameters, and survival (OS) in PCa cases. The STMN1 expressions were analyzed, immunohistochemically, in formalin-fixed paraffin-embedded 75 PCa and 15 benign prostatic hypertrophy (BPH) tissues. The correlation between the levels of expression STMN1, clinicopathological features, and OS was determined in PCa cases. The siRNA-mediated STMN1 incubated PC-3 cells were …
Transcriptome Sequencing Reveals Circrna Expression Profile In Parkinson's Disease-Like Mice After Aerobic Exercise, Tianlun Fan, Xiating Li, Chuan Fu, Lichun Sun
Transcriptome Sequencing Reveals Circrna Expression Profile In Parkinson's Disease-Like Mice After Aerobic Exercise, Tianlun Fan, Xiating Li, Chuan Fu, Lichun Sun
Turkish Journal of Biology
Parkinson's disease (PD) is a common complex neurodegenerative disease, and aerobic exercise (EX) has potential to improve motor dysfunction. This study aimed to explore whether EX acts on PD in mice mode. Mice were administered 1-methyl-4-phenyl- 1,2,3,6-tetrahydropyridine (MPTP) and subjected to a 4-week physical exercise regimen (EX-PD group) and underwent RNA-Seq. Here, MPTP caused PD, which was characterized by neuron shrinkage and behavioral deficits, whereas EX improved PD by rescuing neuronal survival and motor function in mice. Moreover, circRNA expression profiles identified a total of 142 differentially expressed circRNAs (DEcircRNAs) between PD and EX-PD group. These DEcircRNAs were mainly involved …
The Life History Of Euborellia Annulipes (Lucas) (Dermaptera: Anisolabididae) Fed Onlarvae And Pupae Of Plutella Xylostella (L.) (Lepidoptera: Plutellidae), Gilmar Da Silva Nunes, Thais Aparecida Vitoriano Dantas, Wennia Rafaelly Souza Figueiredo, Roberio De Oliveira, Jacinto De Luna Batista, Alessandra Marieli Vacari, Sergio Antonio De Bortoli
The Life History Of Euborellia Annulipes (Lucas) (Dermaptera: Anisolabididae) Fed Onlarvae And Pupae Of Plutella Xylostella (L.) (Lepidoptera: Plutellidae), Gilmar Da Silva Nunes, Thais Aparecida Vitoriano Dantas, Wennia Rafaelly Souza Figueiredo, Roberio De Oliveira, Jacinto De Luna Batista, Alessandra Marieli Vacari, Sergio Antonio De Bortoli
Turkish Journal of Zoology
Euborellia annulipes (Lucas) (Dermaptera: Anisolabididae) is reported as a potential predator of Plutella xylostella (L.) (Lepidoptera: Plutellidae). In this study, we aimed to investigate whether fourth instar larvae, 1 or 3-day-old pupae of P. xylostella are suitable food for the development and reproduction of E. annulipes. We evaluated the characteristics of the predation, development of each life stage, and reproduction of the predator, by comparing them with an artificial diet. The nymphs consumed larvae and pupae equally in the first instars, but, from the third to fifth, they consumed more larvae over pupae. Both males and females consumed more larvae …