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Articles 1201 - 1230 of 40905
Full-Text Articles in Entire DC Network
Carbon Sequestration Technology: Challenges And Urgent Critical Scientific Issues, Li Xiaochun, Liu Tianyu, Zhang Liwei, Zhou Hong, Liu Guizhen, Wang Yan, Gan Manguang, Li Qi
Carbon Sequestration Technology: Challenges And Urgent Critical Scientific Issues, Li Xiaochun, Liu Tianyu, Zhang Liwei, Zhou Hong, Liu Guizhen, Wang Yan, Gan Manguang, Li Qi
Coal Geology & Exploration
Objective Carbon sequestration technology represents a core approach to achieving carbon neutrality. However, its large-scale application remains constrained by multiple technical and scientific challenges. Methods Based on an analysis of existing carbon sequestration projects, this study identified four major challenges in carbon sequestration: (1) high uncertainty in the assessment of CO2 sequestration capacity; (2) low injectivity of low-permeability discontinuous reservoirs; (3) a limited understanding of long-term mechanical stability; and (4) significant difficulty in assessing the risks of CO2 leakage. Results To address these challenges, this study proposes the common issues currently faced by carbon sequestration technology, and, accordingly, …
Distribution Characteristics And Mechanisms Of Ch4 And Co2 Adsorption In Montmorillonite Nanopores In Water-Bearing And Saline Environments, Du Kai, Rui Zhenhua, Qian Cheng, Chen Siwei
Distribution Characteristics And Mechanisms Of Ch4 And Co2 Adsorption In Montmorillonite Nanopores In Water-Bearing And Saline Environments, Du Kai, Rui Zhenhua, Qian Cheng, Chen Siwei
Coal Geology & Exploration
Background Carbon capture, utilization, and storage (CCUS) has emerged as a significant way to reduce greenhouse gas emissions under the guidance of the strategic goals of peak carbon dioxide emissions and carbon neutrality. With the continuous exploitation of unconventional hydrocarbon resources such as shale oil and gas, varying water-bearing and salinity conditions exert significant impacts on the occurrence stability and seepage behavior of CO2, thereby reducing the efficiency and safety of CO2 storage. Therefore, a thorough understanding of the competitive behavior and distribution patterns of CO2 and other gases in shale nanopores under varying water-bearing and …
Concept Of Cccus Technology For Co2 Recycling In Deep Unmineable Coal Seams, Liang Weiguo, Yan Jiwei, Zhu Dijie, Guo Hongguang, Gong Li, Niu Dong
Concept Of Cccus Technology For Co2 Recycling In Deep Unmineable Coal Seams, Liang Weiguo, Yan Jiwei, Zhu Dijie, Guo Hongguang, Gong Li, Niu Dong
Coal Geology & Exploration
Background China possesses substantial resources of deep unmineable coal seams, which hold considerable potential for CO2 sequestration. However, simply sequestrating CO2 in deep coal seams incurs high economic costs while also wasting deep coal resources. The microbial conversion of sequestrated CO2 into methane (CH4) enables circular carbon capture, utilization, and storage (CCCUS), which is of great significance for the sustainable development of both resources and the environment.Methods Using a range of methods, including experimental study, theoretical analysis, and engineering simulations, CCCUS in deep unmineable coal seams is designed to (1) reveal the mechanisms behind …
Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing
Numerical Simulations Of The Impacts Of Co2-Induced Calcite Dissolution On The Permeability And Elastic Parameters Of Rocks, Yang Bo, Xu Tianfu, Feng Guanhong, Zhu Huixing
Coal Geology & Exploration
Objective CO2 dissolution in water tends to induce mineral reactions, thus significantly changing the pore structure of rocks and further affecting their seepage and mechanical properties. This phenomenon poses a major impact on the suitability and long-term safety of geologic CO2 sequestration engineering. Methods Using a simulation technology that combines the lattice Boltzmann method (LBM) and the finite element method (FEM), this study systematically investigated the calcite dissolution characteristics of calcite-bearing rock samples under varying injection rates of a saturated solution of CO2. Furthermore, the dynamic evolution patterns of the permeability and elastic parameters (bulk and …
Advances In Research On Geochemistry Of Co2 Storage In Basalts: Microscopic Mechanisms And Reaction Pathways, Ma Shijia, Xia Changyou, Gao Zhihao, Rui Zhenhua, Liang Xi
Advances In Research On Geochemistry Of Co2 Storage In Basalts: Microscopic Mechanisms And Reaction Pathways, Ma Shijia, Xia Changyou, Gao Zhihao, Rui Zhenhua, Liang Xi
Coal Geology & Exploration
Objective and Method The urgent need to reduce global greenhouse gas emissions has driven the development of CO2 mineral trapping in basalts. To gain further insights into the microscopic mechanisms and reaction pathways of the mineral trapping, this study systematically reviews the geochemical reaction mechanisms involved, with a particular focus on the differences in reaction pathways between supercritical and dissolved CO2 injection, the coupling between mineral dissolution and carbonate precipitation, and the key factors influencing these reactions. Advances In the case of supercritical CO2 injection, CO2 mineral trapping is achieved through multi-step coupling reactions in nanoscale …
Lead Levels In Fingernails Of Hemodialysis Patients And Healthy Individuals In Karbala, Iraq: A Biomonitoring Study Using Icp Oes, Baker A. Joda, Rusul Jaafar, Rana Hameed, Hiba Sadeq Alheloo, Sadeq Jaafar Hasan Dwenee
Lead Levels In Fingernails Of Hemodialysis Patients And Healthy Individuals In Karbala, Iraq: A Biomonitoring Study Using Icp Oes, Baker A. Joda, Rusul Jaafar, Rana Hameed, Hiba Sadeq Alheloo, Sadeq Jaafar Hasan Dwenee
Karbala International Journal of Modern Science
The use of non-invasive media to evaluate the association between trace elements and diseases has spread in recent centuries. Fingernail samples were collected from 103 individuals, including both healthy participants and those undergoing hemodialysis, residing in Karbala, Iraq, and ranging in age from 21 to 75 years. The concentrations of lead were determined using an Inductively Coupled Plasma Optical Emission Spectrometry (ICP OES). Statistical analyses using F-tests and two-tailed t-tests were conducted to examine the effects of health status, gender, smoking status, and their interactions on lead levels in washed fingernails. The concentrations of Pb in washed fingernails of healthy …
Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng
Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng
Journal of Aviation Technology and Engineering
This study evaluates the effectiveness of log transformation in enhancing multiple regression models used to forecast air traffic movements (ATMs) in South Africa during the COVID-19 pandemic. Using 60 monthly observations from October 2016 to September 2021, the analysis incorporates variables such as revenue, lockdown levels, COVID-19 metrics, exchange rates, gross domestic product, and population. Two models are compared: one using raw ATMs and another with log-transformed ATMs as the dependent variable.
While the untransformed model shows stronger explanatory power (R² = 0.904, adjusted R² = 0.891) compared to the log-transformed model (R² = 0.772, adjusted R² = 0.741), the …
Geochemical And Isotopic Signatures Of Ultramafic-Hosted Magnesite Deposit: A Case Study Of The Edige Region (Ankara-Central Anatolia), Betül Koca, Eli̇f Akiska, Zehra Karakaş, Si̇nan Akiska
Geochemical And Isotopic Signatures Of Ultramafic-Hosted Magnesite Deposit: A Case Study Of The Edige Region (Ankara-Central Anatolia), Betül Koca, Eli̇f Akiska, Zehra Karakaş, Si̇nan Akiska
Turkish Journal of Earth Sciences
The magnesite deposit of the Edige region in Ankara-Elmadağ District of Türkiye is hosted in serpentinite/serpentinized ultramafic rocks, which are mainly harzburgite and dunite. Mineralogical and petrographic studies have shown that ultramafic rocks are composed of serpentine, olivine, and pyroxene with serpentinization preceding magnesite formation. The X-ray diffraction results reveal that dolomite, quartz, calcite, and clay minerals are the main minerals in magnesite samples from serpentinite/serpentinized ultramafic units. Olivine, pyroxene, serpentine, chromite, and iron oxide minerals are also present. Scanning electron microscopy and energy dispersive spectrometry results show that magnesite in rhombohedral and cryptocrystalline forms is the dominant mineral accompanied …
Bioerosion And Encrustation As Paleoenvironmental Indicators In Upper Cretaceous Corals, Aruma Formation, Saudi Arabia, Abdelbaset S. El-Sorogy, Huriye Demi̇rcan, Khaled Al-Kahtany, Taisser Zumlot, Talal Alharbi, Mohamed Tawfik
Bioerosion And Encrustation As Paleoenvironmental Indicators In Upper Cretaceous Corals, Aruma Formation, Saudi Arabia, Abdelbaset S. El-Sorogy, Huriye Demi̇rcan, Khaled Al-Kahtany, Taisser Zumlot, Talal Alharbi, Mohamed Tawfik
Turkish Journal of Earth Sciences
This study documents and interprets bioerosion and encrustation traces on Upper Cretaceous scleractinian corals from the Hajajah Member of the Aruma Formation in northern Khashm Buwaibiyat, central Saudi Arabia. Fieldwork in 2023 and 2024 involved detailed bed-by-bed stratigraphic logging, ichnological assessment, and fossil collection across marl and limestone units. A total of 213 coral specimens with bioerosional features were analyzed, leading to the identification of 10 ichnospecies across 5 ichnogenera, including Gastrochaenolites, Entobia, Caulostrepsis, Rogerella, and Labyrintichnus. These traces reflect a range of ethological categories, primarily domichnia, indicating permanent dwelling structures by polychaetes, sponges, bivalves, barnacles, and crustaceans. The Hajajah …
Identification Of A Previously Unrecognized Listric Fault Beneath The Acıpayam Graben: Insights From Integrated Dinsar And Field Observations, Semi̇h Eski̇
Turkish Journal of Earth Sciences
The 20 March 2019 Acıpayam earthquake (Mw 5.7) offers a valuable opportunity to examine the complex seismotectonic behavior of the Fethiye-Burdur Fault Zone (FBFZ), a transtensional structure in southwestern Türkiye. This study integrates field observations and focal mechanism data with differential interferometric synthetic aperture radar (DInSAR) analysis to reassess the geometry of the causative fault. In contrast to previously proposed northeast-dipping blind fault models, the data obtained in this study indicate a southwest-dipping listric normal-fault system centered on the Yeniköy Fault, projecting beneath alluvial cover. Vertical displacement maps from Sentinel-1 show coseismic subsidence up to 5.8 cm and broader postseismic …
Geochemical Characteristics And Ree Potential Of Red Soils In The Seydişehir–Akseki Region (Türkiye), Muazzez Çeli̇k Karakaya, Necati̇ Karakaya, Aydin Rüşen, Cem Saraç
Geochemical Characteristics And Ree Potential Of Red Soils In The Seydişehir–Akseki Region (Türkiye), Muazzez Çeli̇k Karakaya, Necati̇ Karakaya, Aydin Rüşen, Cem Saraç
Turkish Journal of Earth Sciences
The karst-type bauxite deposits located in southwestern Türkiye represent the most significant bauxite resources in the country. Surrounding these bauxite deposits are widespread red soil deposits of varying sizes, developed over lithologically diverse rocks. This study aims to investigate the origin of these red soils, which were examined in two distinct groups based on their spatial relationship to the underlying geology. The first group of red soils is found on or within the fractures of karstic limestones, while the second group is primarily located in proximity to ophiolitic rocks. The investigation focused on the physical properties, as well as the …
Abic-Based Surficial Density Model Of Türkiye And Tectonic Implications, İlki̇n Özsöz
Abic-Based Surficial Density Model Of Türkiye And Tectonic Implications, İlki̇n Özsöz
Turkish Journal of Earth Sciences
This study presents a surficial density model of Türkiye derived from the Akaike Bayesian Information Criterion (ABIC) inversion of terrestrial gravity data. By regularizing the gravity field through spatial smoothness constraints, the ABIC method yields optimal Bouguer reduction densities that reflect lateral variations in tectonic architecture, lithological heterogeneity, and upper crustal structure. Over 52,000 georeferenced observations reveal surficial densities ranging from 2.20 to 4.00 g/cm³, with a statistically robust mean of 2.669 ± 0.002 g/cm³ (95% confidence interval), suitable for precision gravity reduction and geodynamic applications. The derived density field delineates key tectonic domains across the Anatolian lithosphere, including extensional …
The Gut Microbiota Shapes The Human And Murine Breath Volatilome, Ariel J. Hernandez-Leyva, Amalia Z. Berna, Maggie H. Bui, Yang Liu, Anne L. Rosen, Michael A. Lint, Samantha A. Whiteside, Natalia Jaeger, Nikhilesh Joardar, Wentai Luo, Multiple Additional Authors
The Gut Microbiota Shapes The Human And Murine Breath Volatilome, Ariel J. Hernandez-Leyva, Amalia Z. Berna, Maggie H. Bui, Yang Liu, Anne L. Rosen, Michael A. Lint, Samantha A. Whiteside, Natalia Jaeger, Nikhilesh Joardar, Wentai Luo, Multiple Additional Authors
Chemistry Faculty Publications and Presentations
The gut microbiota is crucial to health, yet implementation of microbiota-based therapeutics is limited by the lack of rapid diagnostics. We hypothesize that breath contains gut microbe-derived volatile organic compounds (VOCs) reflecting microbiota composition and metabolism. In healthy children, we found that breath VOC composition (or volatilome), assessed by gas chromatography-mass spectrometry, correlates with gut microbiome composition and function. By capturing exhaled breath from human-stool-colonized and monocolonized gnotobiotic mice, we profiled breath VOCs and discovered that murine breath is also significantly influenced by the gut microbiome. VOCs from cultured gut microbes were identified in vivo in monocolonized gnotobiotic colonized mice. …
Synthesis And Characterization Of Tio₂@Zn₂Sno₄ Composite As A Novel Uv Filter With Reduced Photocatalytic Activity And Low Toxicity For Sunscreen Applications, Rusul Kadhim Naser, Kadhim Al-Attafi, Muntadher Abdulsalam A.Al.Alrabeeah
Synthesis And Characterization Of Tio₂@Zn₂Sno₄ Composite As A Novel Uv Filter With Reduced Photocatalytic Activity And Low Toxicity For Sunscreen Applications, Rusul Kadhim Naser, Kadhim Al-Attafi, Muntadher Abdulsalam A.Al.Alrabeeah
Karbala International Journal of Modern Science
This study builds upon our recent investigation, which utilized various morphologies and particle sizes of Zn₂SnO₄ and TiO₂. Zn₂SnO₄ can block UVB and part of UVA and shows much less photocatalytic activity than TiO₂. Herein, the current study aims to reduce the photocatalytic activity of TiO₂, a compound often utilized as an ultraviolet (UV) filter in sunscreen, by incorporating Zn₂SnO₄ as a composite. Since Zn₂SnO₄ produces much fewer free radicals, in terms of the reactive oxygen species (ROS), due to its low photocatalytic activity. To overcome or minimize the high photocatalytic activity of TiO₂, composite materials TiO₂@Zn₂SnO₄ …
Developing A Multimodal Approach To Channel Characterization On Youtube, Shadi Shajari
Developing A Multimodal Approach To Channel Characterization On Youtube, Shadi Shajari
Theses and Dissertations
YouTube has become a dominant arena for global information sharing, where creators and audiences interact through content, comments, and engagement dynamics. Understanding how these interactions shape a channel’s identity requires a comprehensive characterization of both audience behavior and content structure. This dissertation develops a unified framework for characterizing YouTube channels through multimodal analysis that integrates behavioral modeling, dimensionality reduction, clustering, and content-based characterization to provide a holistic view of audience and editorial patterns. The framework begins by analyzing the structural relationships within co-commenter networks, where users who repeatedly comment on the same videos are connected to capture patterns of interaction …
Improving Surface Analysis Through The Correct Use Of Low Energy Ion Scattering And X-Ray Photoelectron Spectroscopy: Best Practices, Common Errors, And Multimodal Approaches For Material Development, Joshua W. Pinder
Theses and Dissertations
Surface analysis is the study of the atoms at surfaces and their connectivity, including their relative depth distribution, concentration, chemical state, and crystallinity. These characteristics govern many important material properties. X-ray photoelectron spectroscopy (XPS) is one of the most widely used surface analysis techniques. Proper interpretation of XPS spectra including the appropriate use of backgrounds, peak shapes, peak positions, and charge compensation, with appropriate constraints on fitting parameters provide valuable information about elemental composition, concentration, depth distribution, and chemical speciation of surface atoms. However, despite widespread use, much of the XPS literature contains poor interpretations and irreproducible results which undermine …
Dietary Inflammatory Index And Risk Of Colorectal Cancer In Japanese Men, Ayaka Kotemori, Kumiko Kito, Motoki Iwasaki, Taiki Yamaji, James Hébert Scd, Junko Ishihara, Manami Inoue, Shoichiro Tsugane, Norie Sawada On The Behalf Of Jphc Study Group
Dietary Inflammatory Index And Risk Of Colorectal Cancer In Japanese Men, Ayaka Kotemori, Kumiko Kito, Motoki Iwasaki, Taiki Yamaji, James Hébert Scd, Junko Ishihara, Manami Inoue, Shoichiro Tsugane, Norie Sawada On The Behalf Of Jphc Study Group
Faculty Publications
Background/Objectives: Unhealthy lifestyles lead to chronic low-grade inflammation, increasing the risk of colorectal cancer. Few studies in East Asia have examined the association between the dietary inflammation potential and colorectal cancer incidence. Therefore, we aimed to investigate this association further in the Japanese population. Methods: This study included 38,807 men aged 45–74 years who participated in the Japan Public Health Center-based prospective study (JPHC Study). The energy-adjusted dietary inflammatory index (E-DII) was derived from a food frequency questionnaire. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards regression models. Differences in risk due to a …
Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma
Natural Protective Mechanisms Of Cucumis Callosus Leaves In Escherichia Species-Induced Urinary Tract Infection: An Integrated In Silico And In Vivo Study, Meenal Sahu, Tripti Paliwal, Radhika Joshi, Arya Kuhu Vishwapriya, Namita Misra, Smita Jain, Gautam Singhvi, Gulshan Kumar, Devesh U. Kapoor, Dipjyoti Chakraborty, Swapnil Sharma
Michigan Tech Publications
Leaves of Cucumis callosus, traditionally employed in Ayurvedic medicine for the treatment of urinary disorders, were investigated in depth for their therapeutic potential against bacterially induced urinary tract infection (UTI) for the first time. The present work is the first to explore the antibacterial activity of C. callosus leaf fractions with an integrative in silico, in vitro, and in vivo approach. Through bioassay-guided fractionation, the chloroform fraction (F1) was identified as the most active, exhibiting potent activity against Uropathogenic Escherichia spp. species. Liquid chromatography–mass spectrometry (LC-MS) analysis of F1 revealed the presence of bioactive compounds, including stigmasterol, 1,2,3,4-tetrahydroisoquinoline, lactose, hydroxy(mesityl)acetic …
Pl-Mamba: A 3d Point Cloud Semantic Segmentation Network Based On Bimodal Fusion, He Zhu, Feng Zhou, Mengxiao Zhu, Ju Dai
Pl-Mamba: A 3d Point Cloud Semantic Segmentation Network Based On Bimodal Fusion, He Zhu, Feng Zhou, Mengxiao Zhu, Ju Dai
Journal of System Simulation
Abstract: To enhance the semantic discrimination capability in point cloud semantic segmentation, a 3D point cloud semantic segmentation network named PL-Mamba is proposed, which is centered on the fusion of point cloud (P) and language (L) dual modalities. This method takes PointMamba as the backbone network, leveraging its excellent long-sequence modeling and global perception capabilities. It introduces a language prompt mechanism and uses a pretrained language model BERT to encode the context of category labels, obtaining semantically rich text features. The text information serves as a language guided token and is deeply integrated with point cloud features through cross modal …
Evaluation Of Mcf-7 Breast Cancer Cell Cytotoxic And Antioxidant Activities Of Peptide Fractions From Symbiotic Bacteria Of Jellyfish Catostylus Sp., Eka Sry Wahyuni, Ahyar Ahmad, Muhammad Nasrum Massi, Sofa Fajriah, Randi Rimpung, Muh. Akbar Ardiputra, Harningsih Karim, Irda Handayani
Evaluation Of Mcf-7 Breast Cancer Cell Cytotoxic And Antioxidant Activities Of Peptide Fractions From Symbiotic Bacteria Of Jellyfish Catostylus Sp., Eka Sry Wahyuni, Ahyar Ahmad, Muhammad Nasrum Massi, Sofa Fajriah, Randi Rimpung, Muh. Akbar Ardiputra, Harningsih Karim, Irda Handayani
Karbala International Journal of Modern Science
Marine-derived symbiotic microorganisms are recognized as a promising source of bioactive compounds with potential therapeutic applications, yet research on jellyfish-associated bacteria remains limited. This study examines the bioactivity of peptide fractions derived from symbiotic bacteria isolated from the jellyfish Catostylus sp., collected from the coastal waters of South Sulawesi, Indonesia, with a focus on their anticancer and antioxidant properties. Following sample collection, the symbiont bacteria were isolated, enzymatically hydrolyzed, and purified before their biological activity was evaluated. Preliminary cytotoxicity screening using the brine shrimp lethality assay revealed that the extracellular peptide fraction (5–10 kDa) and intracellular peptide fraction (3–5 kDa) …
Exploitation Prioritization And Residual Risk Assessment Based On Hybrid Mcdm Model, Zibo Wang, Yaofang Zhang, Sicai Lv, Yingzhou Wang, Hongri Liu, Bailing Wang
Exploitation Prioritization And Residual Risk Assessment Based On Hybrid Mcdm Model, Zibo Wang, Yaofang Zhang, Sicai Lv, Yingzhou Wang, Hongri Liu, Bailing Wang
Turkish Journal of Electrical Engineering and Computer Sciences
Exploitation is one of the most significant ways to launch attacks using vulnerabilities. The increasing number of vulnerabilities and limited allocation of security resources make it impossible to eliminate all exploitations. Because not every vulnerability can be fixed, it is necessary to rank exploitations and subsequently assess the residual risk, which is defined as the remaining threat potential after each elimination. In this paper, a structured and flexible decision support framework based on a hybrid multicriteria decision-making model is proposed for prioritizing exploitations and assessing residual risk. Metrics are treated as criteria in the model. The hybrid model is developed …
A Deep Learning-Based Real-Time No-Reference Image Decolorization Network With Perceptual Preservation, Mengjuan Zhao, Yitao Liang, Weiya Shi, Juan Xia
A Deep Learning-Based Real-Time No-Reference Image Decolorization Network With Perceptual Preservation, Mengjuan Zhao, Yitao Liang, Weiya Shi, Juan Xia
Turkish Journal of Electrical Engineering and Computer Sciences
Currently, grayscale images are preferred as input data for some specific vision tasks. Decolorization is the transformation of a color image into a grayscale image. Efficient decolorization algorithms can improve the overall task efficiency, while perceptual preservation in decolorization can provide more information for further processing. In recent research, traditional methods focus on preserving contrast or detail information with little attention to perceptual features. Deep-learning methods are beginning to consider perceptual preservation, but they run inefficiently. In addition, the decolorization methods lack the optimal target grayscale images for reference. Therefore, we propose a new deep learning-based real-time no-reference decolorization network …
Noninvasive Condition Monitoring For Eccentricity Fault Detection In Large Hydro Generators, Atena Tazikeh Lemeski, Di̇dem Tekgün, Ozan Keysan, Kemal Leblebi̇ci̇oğlu, Murat Göl
Noninvasive Condition Monitoring For Eccentricity Fault Detection In Large Hydro Generators, Atena Tazikeh Lemeski, Di̇dem Tekgün, Ozan Keysan, Kemal Leblebi̇ci̇oğlu, Murat Göl
Turkish Journal of Electrical Engineering and Computer Sciences
Eccentricity faults in electric machines remain a critical concern, as they generate uneven magnetic forces that increase vibration and noise, ultimately raising the risk of premature motor failure. This study proposes a method for the early detection of dynamic eccentricity (DE) faults in hydropower plants through an advanced optimization-based parameter identification technique integrated with finite element analysis (FEA). Finite element modeling (FEM) is first used to analyze an existing salient-pole synchronous generator (SPSG) from a hydroelectric power plant in Türkiye. The effects of DE faults on the SPSG’s magnetic equivalent circuit parameters are then examined under various fault severities. A …
A Deep Learning Model For Accurate Tomato Leaf Disease Identification, Maheen Shahzad, Muhammad Abdullah Javed, Erum Ashraf, Hafiz Ishfaq Ahmad, Sabeen Masood
A Deep Learning Model For Accurate Tomato Leaf Disease Identification, Maheen Shahzad, Muhammad Abdullah Javed, Erum Ashraf, Hafiz Ishfaq Ahmad, Sabeen Masood
Turkish Journal of Electrical Engineering and Computer Sciences
Recent advances in machine learning and deep learning have greatly improved how we detect plant diseases, making diagnoses more accurate, faster, and easier to scale. However, many existing solutions depend on large, pretrained models that need powerful hardware, which limits their use in the field, especially in areas with limited resources. To tackle this, we designed a custom lightweight convolutional neural network (CNN) built from scratch using 20,000 carefully selected images from the PlantVillage tomato dataset. Our model uses Squeeze-and-Excitation (SE) blocks and Swish activation functions to boost performance, reaching an accuracy of 97.7% while using far fewer computing resources …
Influence Of Sinr And Noise Variance On Outage Probability For Mimo-Noma System In 5g And Beyond, Sadiq Ur Rehman, Jawwad Ahmed, Muhammad Zubair, Syed Sajjad Hussain Rizvi
Influence Of Sinr And Noise Variance On Outage Probability For Mimo-Noma System In 5g And Beyond, Sadiq Ur Rehman, Jawwad Ahmed, Muhammad Zubair, Syed Sajjad Hussain Rizvi
Turkish Journal of Electrical Engineering and Computer Sciences
Nonorthogonal multiple access (NOMA) communication presents a promising solution to the limitations of traditional orthogonal multiple access techniques, offering potential improvements in achievable rates. Multiple-input multiple-output (MIMO), when combined with NOMA (MIMO-NOMA), further enhances these benefits by leveraging the diversity advantages of multiple antennas. Looking ahead, the future of wireless communication hinges on deploying heterogeneous networks (HetNets), facilitating the coexistence of various wireless access networks in a hierarchical fashion. However, the advent of 5G and 6G communications brings shorter channel coherence times, rendering channel reciprocity unreliable. Consequently, conventional channel estimation methods relying on uplink (UL) pilots for downlink (DL) transmission …
A Novel Approach To Maximum Weighted Traffic Flow Method For Effective Signal Control, Zülal Hi̇lal Yildiz Budak, Seyi̇t Alperen Çeltek, Aki̇f Durdu
A Novel Approach To Maximum Weighted Traffic Flow Method For Effective Signal Control, Zülal Hi̇lal Yildiz Budak, Seyi̇t Alperen Çeltek, Aki̇f Durdu
Turkish Journal of Electrical Engineering and Computer Sciences
Traffic signal management is a critical challenge due to its environmental, economic, and public health impacts. The maximum weighted flow method (MaxWeightedFlow) was developed to optimize traffic flow at isolated and coordinated urban intersections. This study proposes a new method, the novel MaxWeightedFlow, which includes two key strategies to enhance the classical approach. The first strategy reduces computational burden by estimating vehicle approach times based on instantaneous speeds, improving real-time performance. The second employs regression analysis to optimize the alpha parameter, representing the vehicle waiting coefficient. The proposed approach, the novel MaxWeightedFlow, was evaluated using real-world traffic data from Kilis, …
Improving Rail System Signaling Efficiency Through Ai-Based Driving Profile Generation: A Comparative Performance Analysis, Mehmet Taci̇ddi̇n Akçay, Abdurrahi̇m Akgündoğdu
Improving Rail System Signaling Efficiency Through Ai-Based Driving Profile Generation: A Comparative Performance Analysis, Mehmet Taci̇ddi̇n Akçay, Abdurrahi̇m Akgündoğdu
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a dataset comprising 3600 discrete operational snapshots (rather than continuous time-series data) derived from real-field operations is used to obtain a high-accuracy driving profile equation using a second-degree Polynomial Regression method. This equation demonstrates the model’s interpretability. The performance metrics obtained with the second-degree polynomial regression model’s equation are as follows: a coefficient of determination (R2) of 0.84, a Pearson Correlation Coefficient of 0.91, and an RMSE of 11.13. These results indicate the effectiveness of artificial intelligence-based approaches in improving the efficiency of the railway signaling system. The same dataset is also utilized with other machine learning …
Distribution System Reliability Evaluation Considering Protection Coordination Using Petri Nets, Rani Kumari, Bhukya Krishna Naick
Distribution System Reliability Evaluation Considering Protection Coordination Using Petri Nets, Rani Kumari, Bhukya Krishna Naick
Turkish Journal of Electrical Engineering and Computer Sciences
Maintaining reliable and high-quality power delivery becomes increasingly complex with expanding power grids. The lack of protection coordination poses a significant threat, compromising overall system reliability. This research addresses this challenge by proposing a method for coordinating protective devices within the distribution system, specifically during network faults. The proposed approach utilizes a stochastic timed Petri net (STPN) based methodology to model protective device coordination across various fault scenarios. This technique effectively captures the dynamic behavior and interactions of protective equipment, allowing for the anticipation of potential disturbances. This proactive insight facilitates preventative measures to address prewarning situations, thereby preventing cascading …
Of Metaphors And Measurements: Cross-Disciplinary Learning In K-8 English Language Arts And Mathematics, Morgan Shiver, Janet Shiver
Of Metaphors And Measurements: Cross-Disciplinary Learning In K-8 English Language Arts And Mathematics, Morgan Shiver, Janet Shiver
New Jersey English Journal
English Language Arts and mathematics may seem like an unlikely pair, but together, literature and math can foster meaningful cross-disciplinary learning. This article presents strategies for using literature in K-8 classrooms to meet both ELA and math standards, enhancing student engagement and comprehension.
ℤ3-Graded Cartan Calculus On 𝒪(ℂQ1|1|1), Sultan Çeli̇k, Sali̇h Çeli̇k
ℤ3-Graded Cartan Calculus On 𝒪(ℂQ1|1|1), Sultan Çeli̇k, Sali̇h Çeli̇k
Turkish Journal of Mathematics
After a brief introduction of the basic concepts of ℤ3-grading, the paper continues by introducing ℤ3-graded differential calculus and ℤ3-graded Cartan calculus. Then, using a matrix R which is a solution of the Yang-Baxter equation, a new ℤ3-graded quantum group and a ℤ3-graded quantum space are introduced. The scheme of the ℤ3-graded differential calculus developed on the algebra of functions on this quantum space is extended to the ℤ3-graded Cartan calculus and all the results obtained are formulated using the matrix R.