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Articles 36661 - 36690 of 1103778
Full-Text Articles in Entire DC Network
Carbon Metabolism And Multidrug Resistance In Bacillus Mobilis And Cupriavidus Campinensis Isolated From Cadmium-Spiked Soils, Philips O. Akinwole, Emma E.C. Jacobs '25, Nina G. Shaffer '25
Carbon Metabolism And Multidrug Resistance In Bacillus Mobilis And Cupriavidus Campinensis Isolated From Cadmium-Spiked Soils, Philips O. Akinwole, Emma E.C. Jacobs '25, Nina G. Shaffer '25
Biology Faculty publications
Heavy metal contamination and antibiotic resistance are critical environmental and public health challenges, often exacerbated by co-selection pressures in polluted environments. This study identifies and characterizes Bacillus mobilis and Cupriavidus campinensis, two cadmium-tolerant bacterial species isolated from cadmium-amended soils with cadmium (Cd2+) concentrations exceeding those typically found in highly contaminated soils. Both species exhibited multidrug resistance and the ability to metabolize specific carbon substrates, including pyruvic acid methyl ester, itaconic acid, D-galactonic acid-γ-lactone, Tween-40, and Tween-80. These substrates enhance microbial activity and heavy metal bioavailability, supporting their potential roles in bioremediation, especially through the targeted introduction of …
Generalızed Kuramoto-Sıvashınsky Equatıon Solvıng By B-Splınes Based Neural Network, University Of Abomey-Calavi, Abomey-Calavi, Benin, Abdou Wahidi Bello, Jamal Adetola, National University Of Science, Technology, Engineering And Mathematics (Unstim), Abomey, Benin, Charbel Zeus Jupiter Mamlankou, Brice Bonaparte Adjalla
Generalızed Kuramoto-Sıvashınsky Equatıon Solvıng By B-Splınes Based Neural Network, University Of Abomey-Calavi, Abomey-Calavi, Benin, Abdou Wahidi Bello, Jamal Adetola, National University Of Science, Technology, Engineering And Mathematics (Unstim), Abomey, Benin, Charbel Zeus Jupiter Mamlankou, Brice Bonaparte Adjalla
Baku Mathematical Journal
This study presents a comprehensive case study investigating the application of Variational Physics-Informed Neural Networks (VPINNs) combined with B-spline test functions for solving the generalized Kuramoto-Sivashinsky equation in one space dimension. The Kuramoto-Sivashinsky equation, a nonlinear fourth-order PDE, serves as a benchmark for modeling instabilities in fluid dynamics, combustion, and pattern formation. Our methodology leverages variational formulations to enhance solution accuracy while ensuring robust convergence. Through systematic numerical experiments, we demonstrate that VPINNs effectively capture complex dynamical behaviors in high-order nonlinear systems. The framework’s robustness is evaluated across different network architectures and multi-stage optimization strategies using Adam and L-BFGS optimizers. …
Process And Mechanism Of Defluorination Using Magnesium Chloride-Modified Coal Gangue, Zhao Li, Zhou Wangxu, Zhang Qing, Xing Mingfei, Xu Feng, Kong Weifang, Liu Yifei, Qin Guangyu
Process And Mechanism Of Defluorination Using Magnesium Chloride-Modified Coal Gangue, Zhao Li, Zhou Wangxu, Zhang Qing, Xing Mingfei, Xu Feng, Kong Weifang, Liu Yifei, Qin Guangyu
Coal Geology & Exploration
Background The rapid development of industry has resulted in a yearly increase in wastewater discharge, which induces a gradually rising fluorine concentration in water. In this context, removing fluoride using natural materials and industrial waste has emerged as a popular research topic. Coal gangue, one of the largest contributors to industrial waste in China, contains substantial clay minerals, and its pore structure can be effectively improved through modification. This helps significantly enhance its adsorption performance and thus achieve efficient fluoride removal from water. Methods This study investigated coal gangue from a typical mining area of the Henan Energy and Chemical …
A Modular Casing While Drilling Rig For Large-Diameter Horizontal Boreholes For Underground Rescue, Fan Dong, Ni Xiaoyang, Mu Shuyuan, Zou Zujie, Wen Guojun, Li Yingping, Lu Feifei
A Modular Casing While Drilling Rig For Large-Diameter Horizontal Boreholes For Underground Rescue, Fan Dong, Ni Xiaoyang, Mu Shuyuan, Zou Zujie, Wen Guojun, Li Yingping, Lu Feifei
Coal Geology & Exploration
Objective Operations in a narrow space pose a challenge to rescue in the case of the collapse of mine roadways or tunnels. To address this challenge, this study developed a modular rescue casing while drilling (CwD) rig system for horizontal boreholes. With the capacity for quick responses, this CwD rig was designed to enhance the rescue efficiency and safety under complex geological conditions. Methods Following the modular design concept and compact layout principle, this study optimized core components such as the power heads, feed devices, and power system. The auxiliary operation vehicle was checked against overturning through multibody dynamics (MBD) …
Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi
Structural Optimization For Transfer Chutes Based On Energy Dissipation Mechanisms Of Coal Particles, Shi Yaocheng, Zou Zujie, Wen Guojun, Cheng Siyi, Wu Laijie, Wang Yudan, Liu Pu, Chen Mengxi
Coal Geology & Exploration
Objective Bulk material transport in emergency rescue scenarios and coal transportation poses stringent demands for the structural performance of transfer chutes. Given this, from the perspective of the energy dissipation mechanisms of particles, this study proposed structural optimization methods for transfer chutes based on the regulation of particle energy dissipation. Methods An experiment–simulation integrated analysis framework was established. Using this framework, this study systematically simulated the impact process of particles between two-stage walls I and Ⅱ using the discrete element method (DEM), highlighting the coupling mechanisms among velocity fluctuations, stress distribution, and energy transformation pathways. Based on the results, this …
A Simulation And Experimental Study Of Bottomhole Flow Field In A Large-Diameter Rescue Borehole, Zhao Yan, Liu Songhe, Hao Shijun, Zhao Jiangpeng, Li Peishu, Wang Xuebo, Yu Yongping, Gao Ke, Dong Bo, Zhang Bo
A Simulation And Experimental Study Of Bottomhole Flow Field In A Large-Diameter Rescue Borehole, Zhao Yan, Liu Songhe, Hao Shijun, Zhao Jiangpeng, Li Peishu, Wang Xuebo, Yu Yongping, Gao Ke, Dong Bo, Zhang Bo
Coal Geology & Exploration
Objective In mine rescue, reaming using a large-diameter down-the-hole (DTH) hammer faces is challenged by complex bottomhole flow fields and difficult slag discharge. This study aims to address these challenges. Methods To reveal the influence patterns of drilling parameters on the bottomhole flow field and slag discharge efficiency, this study determined the optimal drilling parameter combination. Then, using the computational fluid dynamics (CFD)-discrete phase model (DPM) method, this study established a numerical model for the slag discharge and bottomhole flow field during the reverse circulation drilling using a DTH hammer. Relying on this model, this study analyzed the variation patterns …
Will Systematic Stewardship Save The Planet?, Zohar Goshen, Assaf Hamdani
Will Systematic Stewardship Save The Planet?, Zohar Goshen, Assaf Hamdani
Villanova Law Review (1956 - )
No abstract provided.
Workplace Tug-Of War: The Pennsylvania Supreme Court Weighs Competing Interests With New Cause Of Action To Protect At-Will Employees From Third-Party Interference In Salsberg V. Mann, Alysse Danyi
Villanova Law Review (1956 - )
No abstract provided.
Improving Formability Of Low-Carbon Steel Shells Through Deep Drawing: Experimental Analysis Using Spss, Yousif Sabah Kareem
Improving Formability Of Low-Carbon Steel Shells Through Deep Drawing: Experimental Analysis Using Spss, Yousif Sabah Kareem
Warith Scientific Journal of Engineering and Technology
Deep drawing, a prevalent sheet metal forming technique, is beset by fracture, wrinkling, and earing. This research investigates punch velocity, die curvature, and lubrication to enhance the formability of low-carbon steel cups. These parameters were selected due to their direct influence on forming force, metal flow, and thickness distribution, which dictate product quality. This study examines the impact of speed, radius, and lubrication on formability. The pressure of the blank holder and the height of the die can also influence formability. Experiments designed by DOE approach were assessed using SPSS and validated by Bootstrapping. Speed was the primary element influencing …
Trcaptionnet++: A High-Performance Encoder-Decoder Based Deep Turkish Image Captioning Model Fine-Tuned With A Large-Scale Set Of Pretrain Data, Serdar Yildiz, Abbas Memi̇ş, Songül Varli
Trcaptionnet++: A High-Performance Encoder-Decoder Based Deep Turkish Image Captioning Model Fine-Tuned With A Large-Scale Set Of Pretrain Data, Serdar Yildiz, Abbas Memi̇ş, Songül Varli
Turkish Journal of Electrical Engineering and Computer Sciences
This paper introduces a novel and high-performance encoder-decoder-based deep model called TRCaption Net++ for generic Turkish image captioning tasks. The proposed model is an improved and refined version of TRCap tionNet, which essentially employs a CLIP (contrastive language–image pretraining) image encoder, a feature projection layer and a BERT (bidirectional encoder representations from transformers) text decoder. Within the scope of the study, the regular TRCaptionNet model was trained and specifically fine-tuned with a massive set of image data. In this respect, approximately 2,000,000 random images representing the words in the MS COCO and Flickr caption sets were retrieved through web crawling …
Enhanced Pmu Data Imputation Using Variational Autoencoder: A Novel Approach For Improved Accuracy, Subin Koshy, Sunitha Rajan, Elizabeth P. Cheriyan
Enhanced Pmu Data Imputation Using Variational Autoencoder: A Novel Approach For Improved Accuracy, Subin Koshy, Sunitha Rajan, Elizabeth P. Cheriyan
Turkish Journal of Electrical Engineering and Computer Sciences
Data collected from various measurement devices, such as phasor measurement units (PMUs), form the backbone of power system monitoring algorithms such as state estimation algorithms. Even though modern PMUs are efficient, data inaccuracies and loss can still occur due to problems like equipment malfunctions, communication issues, and hardware or software glitches. Missing values in the datasets can also affect the overall quality, impacting the algorithms dependent on them. This article introduces a novel technique for real-time imputation of missing data using variational autoencoder (VAE) and utilizing the latent space representation acquired from VAE. The method has demonstrated enhanced accuracy in …
Table Of Contents, The Editors
Injection-Production Process Parameters Of Well Group Configurations For Autothermic Pyrolysis In Situ Conversion Of Oil Shale, Zeng Yijian, Zhu Chaofan, Li Yanwei, Shui Haoche, Guo Wei
Injection-Production Process Parameters Of Well Group Configurations For Autothermic Pyrolysis In Situ Conversion Of Oil Shale, Zeng Yijian, Zhu Chaofan, Li Yanwei, Shui Haoche, Guo Wei
Coal Geology & Exploration
Background A well group acts as a multi-well synergistic unit, and its configuration directly determines both the selection of optimal injection–production process and the utilization efficiency of stratigraphic conditions, ultimately affecting the overall performance of resource recovery. Methods Using numerical simulations, this study assessed the performance of autothermic pyrolysis in situ conversion (ATS) under three vertical well group configurations: one injection well and one production well (1I1P), one injection well surrounded by four production wells (1I4P), and one injection well surrounded by six production wells (1I6P). Furthermore, it revealed the synergistic mechanisms between well group configuration and energy efficiency. Results …
Attenuation Characteristics And Wave Impedance Inversion Of Depth-Domain Nonstationary Seismic Data, Ma Ming, Ma Feng
Attenuation Characteristics And Wave Impedance Inversion Of Depth-Domain Nonstationary Seismic Data, Ma Ming, Ma Feng
Coal Geology & Exploration
Background The efficient application of depth migration methods has enabled the extensive implementation of depth-domain seismic data interpretation. Previous studies on the impacts of time-to-depth conversion and velocity models merely determine that an increase in depth corresponds to reduced dominant wavenumber of seismic waves and waveform stretching, without considering the changes in amplitude and phase. Objective This study aims to accurately characterize the waveforms of nonstationary seismic signals in the depth domain and enhance the impedance inversion accuracy. Methods First, based on energy dissipation and frequency dispersion effects during the propagation of seismic waves, this study investigated the complex mapping …
Analysis Of The Connotation Of Hidden Disaster-Causing Factors In Coal Mines And The Key Points Of Their Reconnaissance, Lian Huiqing, Wang Xu, Yin Shangxian, Xia Xiangxue, Cao Min, Li Qixing, Wu Xiaoming, Zhang Bin, Wang Yangyu, Zhang Qing, Wang Guo’An
Analysis Of The Connotation Of Hidden Disaster-Causing Factors In Coal Mines And The Key Points Of Their Reconnaissance, Lian Huiqing, Wang Xu, Yin Shangxian, Xia Xiangxue, Cao Min, Li Qixing, Wu Xiaoming, Zhang Bin, Wang Yangyu, Zhang Qing, Wang Guo’An
Coal Geology & Exploration
Background To systematically normalize the reconnaissance of hidden disaster-causing factors in coal mines, the National Mine Safety Administration issued the Specification for General Survey of Hidden Disaster-causing Factors in Mine in 2024. Nevertheless, coal mining enterprises still face a range of notable issues in reconnaissance of hidden disaster-causing factors, including ambiguous connotations of the factors, broad scopes of reconnaissance, unclear implementation stages, a disjunction between explorations and reconnaissance, and improper conclusion descriptions. These problems severely restrict scientific and operational reconnaissance.Methods This study reviews the history of research on the reconnaissance of hidden disaster-causing factors, presents a summary of significant …
Molecular Simulations Of Selective Adsorption Of Lithium In The No.6 Coal Seam, Junggar Coalfield, Zhang Junshuang, Sun Beilei, Zhang Bin, Liu Chao
Molecular Simulations Of Selective Adsorption Of Lithium In The No.6 Coal Seam, Junggar Coalfield, Zhang Junshuang, Sun Beilei, Zhang Bin, Liu Chao
Coal Geology & Exploration
Objective With the discovery of metal deposits in coal-bearing strata, the distribution and occurrence patterns of lithium in coals have attracted much attention. However, its partitioning mode between organic structures and minerals in coals remains poorly understood.Methods This study investigated typical coals with a high lithium content in the Junggar Coalfield in Inner Mongolia. By integrating multiple simulation methods, including quantum mechanics, Monte Carlo simulation, and molecular dynamics, this study established the structural models of organic matter and inorganic minerals, as well as a visualized lithium-coal molecular structure model. Accordingly, it investigated the preferential adsorption sites on both organic …
Automatic Detection Of Depression Using A Cnn-Transformer Model Based On Low-Channel Eeg Data, Dongfang Yu, Penghai Li, Fei Su, Kun Wang, Shutong Duan, Ding Yuan
Automatic Detection Of Depression Using A Cnn-Transformer Model Based On Low-Channel Eeg Data, Dongfang Yu, Penghai Li, Fei Su, Kun Wang, Shutong Duan, Ding Yuan
Turkish Journal of Electrical Engineering and Computer Sciences
Background: Accurate and portable diagnostic tools for Major Depressive Disorder (MDD) remain a critical unmet need in clinical practice. Electroencephalography (EEG), with its noninvasiveness and high sensitivity, presents an ideal modality, yet traditional multi-channel EEG systems limit clinical convenience and practical deployment. Methods: We developed a novel CNN-Transformer hybrid model using only eight EEG channels selected from frontal regions to detect MDD. Minimal preprocessing steps (basic filtering) were applied to EEG data before the model automatically learned both local and global signal features through convolutional and self-attention mechanisms. We validated this method through comprehensive experiments, including within-dataset and cross-dataset evaluations, …
Electronically Tunable Cccii And Ota-Based Fractional-Order Meminductor Emulator And Its Application, Bhawna Aggarwal, Rupam Das, Shireesh Kumar Rai
Electronically Tunable Cccii And Ota-Based Fractional-Order Meminductor Emulator And Its Application, Bhawna Aggarwal, Rupam Das, Shireesh Kumar Rai
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, two fractional-order meminductor (FOMI) emulators have been realized using second-generation current-controlled conveyor (CCCII) and operational transconductance amplifier (OTA). In the first realization, two OTAs, one CCCII, one resistor, one fractional-order capacitor, and one integer-order capacitor are used. In the second configuration two CCCIIs, one OTA, two resistors, one fractional-order capacitor, and one integer-order capacitor are used. Pinched hysteresis loops have been achieved for a wide range of frequencies. The robustness of the proposed FOMI emulators has been verified through formation of pinched hysteresis loops under process, voltage, and temperature variations. Other characteristics, such as transient analysis, nonvolatility …
Cover And Contents
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
A Comprehensive Approach For Design And Optimization Of A High Power Density Interior Permanent Magnet Motor For Evs, Bati Eren Ergun, Ahmet Hakan Oğuz, Güven Onur, Zeynep Akyüz, Derya Kocabaş, Mehmet Onur Gülbahçe
A Comprehensive Approach For Design And Optimization Of A High Power Density Interior Permanent Magnet Motor For Evs, Bati Eren Ergun, Ahmet Hakan Oğuz, Güven Onur, Zeynep Akyüz, Derya Kocabaş, Mehmet Onur Gülbahçe
Turkish Journal of Electrical Engineering and Computer Sciences
This study presents a comprehensive design and optimization framework that addresses both electromagnetic and thermal aspects of an interior permanent magnet synchronous motor (IPMSM) intended for use in midsize commercial EVs. A 60-slot/10-pole IPMSM with a V-shaped rotor, capable of delivering 125 kW peak power at 4500 rpm from a 400 VDC bus, has been developed using a systematic approach. The design process begins with analytical estimations to determine initial motor geometry and performance parameters, followed by a finite element-based validation. To enhance performance, a multiobjective optimization is conducted using the nondominated sorting genetic algorithm II (NSGA-II). The optimization targets …
Yoganglenet: Body Angle-Based Yogic Posture Classification Approach Using Mediapipe From Single-Person Images, Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman
Yoganglenet: Body Angle-Based Yogic Posture Classification Approach Using Mediapipe From Single-Person Images, Arun Kumar Rajendran, Sibi Chakkaravarthy Sethuraman
Turkish Journal of Electrical Engineering and Computer Sciences
The profound psychological and physical benefits of yoga have attracted global interest. This study explores yoga pose classification using angle values derived from single-person posture images. The dataset is carefully curated and consists exclusively of single-person yoga postures. The proposed method applies feature selection to improve model performance, achieving high accuracy with the random forest (RF) classifier. Using the top four selected features, our approach attains a maximum testing accuracy of 92.63%. A key contribution of this study is its strong focus on model interpretability. To explain model predictions and clarify decision-making, we employ Local Interpretable Model-Agnostic Explanations (LIME) and …
Molecular Simulation Of Adsorption And Diffusion Behaviors Of High-Concentration Helium In Salt Cavern Storage Reservoirs, Chen Zeya, Wanyan Qiqi, Liu Mancang, Liu Xiaoqiang, Chen Jianfa, Li Kang, Wu Jianan, You Bing
Molecular Simulation Of Adsorption And Diffusion Behaviors Of High-Concentration Helium In Salt Cavern Storage Reservoirs, Chen Zeya, Wanyan Qiqi, Liu Mancang, Liu Xiaoqiang, Chen Jianfa, Li Kang, Wu Jianan, You Bing
Coal Geology & Exploration
Background Artificial salt cavern underground helium storage is the optimal approach for achieving long-term, large-scale strategic helium storage and represents an essential solution for establishing an autonomous, controllable helium supply system. The core challenge currently constraining China’s development of salt cavern underground helium storage facilities lies in the sealing capacity of salt rock against high-concentration helium (helium volume fraction ≥70%). Methods Molecular dynamics simulation was used in this study, a composite model of salt rock slit pore and channel pore was constructed to reveal the influences of temperature-pressure conditions, helium concentration, and pore fluid properties on the occurrence state and …
Source And Primary Factors Controlling Differential Enrichment For Helium In The Dongping Gas Field, Qaidam Basin, Xu Zhusong, Li Jian, Wang Xiaobo, Cui Huiying, Xia Yutian, Tian Jixian, Li Wanting, Chen Dawei
Source And Primary Factors Controlling Differential Enrichment For Helium In The Dongping Gas Field, Qaidam Basin, Xu Zhusong, Li Jian, Wang Xiaobo, Cui Huiying, Xia Yutian, Tian Jixian, Li Wanting, Chen Dawei
Coal Geology & Exploration
Background In recent years, promising helium-rich natural gas shows have been discovered in the Dongping gas field. However, the helium resources in the gas field exhibit lateral heterogeneity and vertical differential accumulation in multiple sequences, which restrict the further exploration of these resources. Methods By analyzing the lateral and vertical distribution characteristics of helium in the Dongping gas field, this study explored its origin and sources, analyzed the differences in geological backgrounds between helium-rich and helium-deficient gas reservoirs, and systematically summarized the differential enrichment pattern across different blocks within the Dongping gas field.Results and Conclusions In the Dongping gas …
Water Filling Intensity Assessment Of A Coal Seam Roof In The Dahaize Coal Mine, Northern Ordos Basin, Liu Xi, Ding Xiang, Huang Haiyu, Li Zhaoyang, Li Zhe, Zheng Sheng
Water Filling Intensity Assessment Of A Coal Seam Roof In The Dahaize Coal Mine, Northern Ordos Basin, Liu Xi, Ding Xiang, Huang Haiyu, Li Zhaoyang, Li Zhe, Zheng Sheng
Coal Geology & Exploration
Background Assessing water filling intensity in coal seam floors lays a foundation for the prevention and control of water hazards in mines. However, in the Jurassic coalfield in the northern Ordos Basin, complex hydrogeological structures and sedimentary heterogeneity pose severe challenges to traditional evaluation methods. Methods This study investigated the water hazard characteristics in the superimposed aquifers of the Jurassic Yan’an and Zhiluo formations in the Dahaize Coal Mine in northern Shaanxi. The purpose is to establish a zoning and assessment system of water filling intensity that is suitable for continental sedimentary settings and to provide a scientific basis for …
Cardiovascular Disease In Rural Communities: Understanding The Challenges And Solutions – A Comparative Approach, Aariyana R. Britton
Cardiovascular Disease In Rural Communities: Understanding The Challenges And Solutions – A Comparative Approach, Aariyana R. Britton
Doctoral Dissertations and Projects
This research project explored the effects of cardiovascular disease (CVD) in rural and underrepresented populations while solidifying ways of mitigation in localities with little to no healthcare access. Research included highly underserved individuals who live in or around healthcare deserts with low health literacy statuses and poor resource distribution. CVD has skyrocketed into becoming the leading cause of death in the United States of America, so it is pertinent to create methods of investigation regarding how CVD is currently diagnosed, handled, and projected in these areas where there is a shortage of proper health access and training. While CVD is …
Engaging The Hindu Community Of Loudoun County, Va With The Gospel Of Jesus Christ: An Evangelism Course For Telugu Christian Fellowship Church, Ravinder Rufus Bhimanpalli
Engaging The Hindu Community Of Loudoun County, Va With The Gospel Of Jesus Christ: An Evangelism Course For Telugu Christian Fellowship Church, Ravinder Rufus Bhimanpalli
Doctoral Dissertations and Projects
This Doctor of Ministry project addressed the lack of effective evangelism toward the Hindu community by the Telugu Christian Fellowship Church (TCFC) in Ashburn, Virginia. Located 35 miles from Washington, D.C., TCFC serves a suburban congregation of approximately 300 members, with an average weekly attendance of 250. The church is located in Loudoun County, one of America’s most diverse and affluent regions, home to over 44,000 Asian Indians and an estimated 18,000 Hindus. Despite this, the church’s outreach efforts had remained scattered and underdeveloped. Most church members lacked cultural sensitivity, feared offending them, or simply lacked the confidence to engage …
Adverse Childhood Experiences: How They Shape Employees' Perceptions, Experiences, And Performance In The Workplace, Marcia A. Beasley
Adverse Childhood Experiences: How They Shape Employees' Perceptions, Experiences, And Performance In The Workplace, Marcia A. Beasley
Doctoral Dissertations and Projects
The influence of Adverse Childhood Experiences (ACEs) has been well researched, and the lifelong consequences of medical conditions have been documented. Recently, research has linked mental health concerns to ACEs, including depression, anxiety, and health risk behaviors. ACEs occur during important stages of childhood development and can disrupt these stages, leading to children learn maladaptive coping skills. The resultant maladaptive behaviors that are developed as a response to maltreatment may also hinder social relationships in adulthood. Given this, research is lacking on the influence of ACEs on perceptions in the workplace, especially from the employee’s perspective. This qualitative phenomenological study …
Fractional-Order Adaptive Terminal Sliding Mode Control For Synchronization Of Uncertain Chaotic Memristive Chua's Circuit, Dorukhan Asteki̇n, Fati̇h Adigüzel
Fractional-Order Adaptive Terminal Sliding Mode Control For Synchronization Of Uncertain Chaotic Memristive Chua's Circuit, Dorukhan Asteki̇n, Fati̇h Adigüzel
Turkish Journal of Electrical Engineering and Computer Sciences
Memristive-based chaotic dynamical systems exhibit chaotic behavior with signals of unpredictable complex ity, making it difficult to achieve full synchronization in master-slave systems. Therefore, an advanced synchronization method is required to overcome the chaotic model uncertainties and external disturbances. In this study, a fractional order terminal sliding mode synchronization is proposed for the uncertain memristive chaotic Chua’s circuit. After presenting the integer-order model of the chaotic memristive Chua’s circuit, a fractional-order sliding surface-based non linear synchronization structure, incorporating the fractional derivative operator, is designed. The convergence of the synchronization closed-loop system is proven using Lyapunov theory. To demonstrate its effectiveness …
Quality Improvement Project Empowering Nursing Instructors: Faculty Self-Efficacy & Consistency In Simulation Grading, April Guerin
Quality Improvement Project Empowering Nursing Instructors: Faculty Self-Efficacy & Consistency In Simulation Grading, April Guerin
Doctor of Nursing Practice Projects
This quality improvement (QI) project aims to evaluate the effectiveness of structured training on the Creighton Competency Evaluation Instrument (C-CEI) in improving nursing faculty self-efficacy and grading consistency in clinical student evaluations. Inconsistent clinical grading practices among nursing faculty create barriers to reliable competency evaluation and undermine student outcomes. Guided by the Donabedian Model and Lewin’s Change Theory, with implementation structured by the Plan-Do-Study-Act (PDSA) cycle, a quasi-experimental pre-post intervention design was used. Participants include nursing faculty responsible for clinical evaluations, who completed structured C-CEI training delivered via self-paced modules in a learning management system. Faculty self-efficacy was measured using …
On The Usages Of Green’S Functıon On Tıme Scales, Firat University, Elazig, Turkiye, Ayse Cigdem Yar, Emrah Yılmaz, Sertac Goktas, Mersin University, Mersin, Turkiye
On The Usages Of Green’S Functıon On Tıme Scales, Firat University, Elazig, Turkiye, Ayse Cigdem Yar, Emrah Yılmaz, Sertac Goktas, Mersin University, Mersin, Turkiye
Baku Mathematical Journal
We deal with Green’s functions (Green’s-f ) for 2-nd order dynamic boundary value problems (BV-P’s) on T. Green’s function is established on T for different situations to solve constructed problems. These results show how important Green’s-f is for mathematical physics on T.