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Striving To Become A Dean Of Faculty Affairs And Development, Beatriz Tapia, Guadalupe Federico-Martinez Mar 2026

Striving To Become A Dean Of Faculty Affairs And Development, Beatriz Tapia, Guadalupe Federico-Martinez

School of Medicine Publications

Academic medicine allows you to grow in your field of expertise and interest. Yet, the guidance you receive will provide you with the path toward successful professorial promotion. As a dean of faculty affairs and development, there is no greater pleasure than serving as a guide for faculty across their life cycle from recruitment to retirement and everything in between. In this chapter, you will find information regarding the dean of faculty affairs and development role. Depending on the maturity of your institution, you will need to define who is intended for you to serve and where the greatest needs …

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Spartan Daily, March 3, 2026, San Jose State University, School Of Journalism And Mass Communications Mar 2026

Spartan Daily, March 3, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 166, Issue 17

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Pd-L1 Positivity Predicts A Unique Hyperaggressive Tumor Group Within Meng C Meningiomas, Vijay Nitturi, Shervin Hosseingholi Nouri, Collin English, Hsiang-Chih Lu, Elizabeth Ledbetter, Diego Rojas, Sean Lau, Malcolm Mcdonald, Jacob J Mandel, Abdul Basit Khan, Arif O Harmanci, Akdes S Harmanci, Tiemo Klisch, Akash J Patel Mar 2026

Pd-L1 Positivity Predicts A Unique Hyperaggressive Tumor Group Within Meng C Meningiomas, Vijay Nitturi, Shervin Hosseingholi Nouri, Collin English, Hsiang-Chih Lu, Elizabeth Ledbetter, Diego Rojas, Sean Lau, Malcolm Mcdonald, Jacob J Mandel, Abdul Basit Khan, Arif O Harmanci, Akdes S Harmanci, Tiemo Klisch, Akash J Patel

Duncan NRI Faculty and Staff Publications

Molecular profiling has identified 3 groups of meningiomas, with MenG C tumors exhibiting the vast majority of recurrences. Efforts to find effective treatments for recurrent meningiomas have remained elusive. Higher WHO-grade meningiomas have exhibited greater Programmed Death Ligand 1 (PD-L1) expression through various methods, but the prognostic value of PD-L1 expression has not been described in the context of molecular profiling. Additionally, trials investigating PD-1/PD-L1-targeted immunotherapies have produced disappointing results. Here, we find that PD-L1 positivity, while prevalent in MenG C tumors, does not predict recurrence in the benign MenG A and B tumors. PD-L1 positivity also occurs independently of …

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Tubulin Transforms Tau And Α-Synuclein Condensates From Pathological To Physiological, Lathan Lucas, Phoebe S Tsoi, My Diem Quan, Kyoung-Jae Choi, Josephine C Ferreon, Allan Chris M Ferreon Mar 2026

Tubulin Transforms Tau And Α-Synuclein Condensates From Pathological To Physiological, Lathan Lucas, Phoebe S Tsoi, My Diem Quan, Kyoung-Jae Choi, Josephine C Ferreon, Allan Chris M Ferreon

Faculty, Staff and Students Publications

Proteins undergo phase separation to form membraneless condensates that spatially organize biomolecular interactions. These condensates can support cellular physiology or instigate pathological protein aggregation. Tau and α-synuclein (αSyn) are neuronal proteins that form heterotypic Tau:αSyn condensates associated with physiological and pathological processes. Tau and αSyn regulate microtubules, but also misfold and co-deposit in aggregates linked to neurodegenerative disease, highlighting the ambivalent impact of Tau:αSyn condensation in health and disease. Here, we show that Tubulin modulates Tau:αSyn condensates by promoting microtubule interactions and inhibiting homotypic and heterotypic pathological oligomers. In the absence of Tubulin, Tau-driven condensation accelerates formation of pathogenic Tau:αSyn …

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Fusing Channel State Information And Computer Vision In An Agentic Ai Workflow For Accurate Human Activity Recognition And Crisis Prevention, Vishnu S. Pendyala, Milind Patil Mar 2026

Fusing Channel State Information And Computer Vision In An Agentic Ai Workflow For Accurate Human Activity Recognition And Crisis Prevention, Vishnu S. Pendyala, Milind Patil

Faculty Research, Scholarly, and Creative Activity

This paper presents a novel multimodal framework for Human Activity Recognition (HAR) in homes that combines Channel State Information (CSI) from WiFi access points with visual data from camera images. This approach introduces a dual-stream classification pipeline that leverages a Transformer-based deep learning model for processing CSI features and a computer vision model based on a fine-tuned Convolutional Neural Network (CNN) for image-based activity classification. To enable autonomous decision-making, an agentic AI module based on the Falcon Large Language Model (LLM) has been incorporated, which fuses predictions from both modalities through a reasoning-driven mechanism. This integrated system is capable of …

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Sex Differences In The Association Between Childhood Cyberbullying Victimization And College Sexual Assault: Moderating Roles Of Parental Monitoring And Relationship With Deviant Peers, Jungup Lee, Debra Patterson, Na Youn Lee, Jinyung Kim, Stephen J. Tripodi, Hyunkag Cho Mar 2026

Sex Differences In The Association Between Childhood Cyberbullying Victimization And College Sexual Assault: Moderating Roles Of Parental Monitoring And Relationship With Deviant Peers, Jungup Lee, Debra Patterson, Na Youn Lee, Jinyung Kim, Stephen J. Tripodi, Hyunkag Cho

Faculty Research, Scholarly, and Creative Activity

This study explores sex differences in the relationship between childhood cyberbullying victimization (CCBV) and young adult sexual assault experiences and the potential moderating roles of childhood parent monitoring and deviant peer association on the relationship. A total of 356 college students aged 19–25 in the US participated in the online survey. The results indicated that CCBV was associated with an increased risk of college sexual assault victimization for both males and females. A significant moderating effect of childhood parental monitoring and deviant peer association was found between the association between CCBV and college sexual assault victimization for female students only.

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The Bidirectional Effects Of Engaging In Hazard Perception And Work-Related Phone Calls, Hannah V. Pannell Mar 2026

The Bidirectional Effects Of Engaging In Hazard Perception And Work-Related Phone Calls, Hannah V. Pannell

USF Tampa Graduate Theses and Dissertations

This research investigates the bidirectional effects of conducting work-related phone negotiations during a driving task. With the prevalence of multitasking in today's fast-paced environments, understanding the effects of dual-task interference is critical for enhancing road safety and workplace efficiency. Experiment 1 established a foundational understanding that multitasking negatively affects both driving ability and negotiation outcomes. Experiment 2 employed an accomplice script to standardize negotiation quality, revealing that while dual-tasking again impaired driving performance, focused negotiators earned more points on the integrative items and overall. Analyses of negotiation behaviors further indicate differences in the use of distributive behaviors. Together, these experiments …

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Comparative Antibacterial Efficacy Of Povidone-Iodine, Citric Acid, And Starch: A Study Of Combined Activity And Interference Effects Against Clinically Relevant Bacteria, Falah Hasan Obayes Al-Khikani, Mustafa Mutar Trrad, Ali Abedulameer Alhusayni Mar 2026

Comparative Antibacterial Efficacy Of Povidone-Iodine, Citric Acid, And Starch: A Study Of Combined Activity And Interference Effects Against Clinically Relevant Bacteria, Falah Hasan Obayes Al-Khikani, Mustafa Mutar Trrad, Ali Abedulameer Alhusayni

AUIQ Complementary Biological System

Povidone-iodine and citric acid are widely used antimicrobial agents. However, data on their comparative efficacy and the functional outcomes of their combination, particularly regarding the influence of common excipients like starch, is limited. Understanding these interactions is crucial for optimizing antiseptic formulations. This study aimed to evaluate and compare the antibacterial activity of povidone-iodine, citric acid (5% and 20%), and starch (5% and 20%), both individually and in combination, against clinical isolates of Staphylococcus aureus, Escherichia coli, and Pseudomonas aeruginosa. The antibacterial activity of the agents was assessed using an agar well diffusion assay. Mean inhibition zone …

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Self-Aware Quantum-Inspired Routing Framework For 6g And Quantum Networks, Haitham M. Abdelghany, Mohamed M. Ashour Mar 2026

Self-Aware Quantum-Inspired Routing Framework For 6g And Quantum Networks, Haitham M. Abdelghany, Mohamed M. Ashour

Mansoura Engineering Journal

This paper introduces a quantum-hybrid-aware routing framework that incorporates the concepts of quantum computing with meta-cognitive learning to improve adaptability, reliability, and awareness in dynamic quantum networks. The proposed system accommodates a new IoT, edge computing and 6G system, where routing schemes should be flexible and robust and have cross-topology functionality. Conventional methods of quantum reinforcement learning can be characterized by a trade-off between exploration and decision stability. To cope with this, the proposed self-aware hybrid architecture is a combination of quantum-enhanced learning and a meta-cognitive awareness layer to allow autonomous agents to monitor performance and adjust routing strategies on …

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Movement And Momentum, V. 45, Carissa Dicindio Mar 2026

Movement And Momentum, V. 45, Carissa Dicindio

Journal of Social Theory in Art Education

No abstract provided.

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Significance Of Relationships In Navigating Disability, Shivani Bhalla Dr Mar 2026

Significance Of Relationships In Navigating Disability, Shivani Bhalla Dr

Journal of Social Theory in Art Education

I have addressed the theme of movement and momentum by referring to the importance of relationships and seeking community in navigating through the challenges of disability experiences. In this paper, I will explore how my relationships with my family members, fellow disabled artists, educators, and scholars helped me learn from my disability experiences and gave me the courage to come out as a person with disability (PWD) and explore disability as a sight of knowledge production.

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Coalition Building In Art Education: Holding Space, Redistributing Weight And Witnessing, Kathy J. Brown, Beth Link, Kendall Crabbe, Cheryl Boone Mar 2026

Coalition Building In Art Education: Holding Space, Redistributing Weight And Witnessing, Kathy J. Brown, Beth Link, Kendall Crabbe, Cheryl Boone

Journal of Social Theory in Art Education

Our coalition is made up of four art educators working across institutions of higher education. After encountering various racialized critical incidents, we began meeting virtually and in-person, to imagine new ways of navigating academic spaces. We are all cis women, two of us identify as Black, 2 as white, with varied ages and positions in academic institutions across the country. We gathered after the surge of Black Lives Matter protests and in the wake of a global pandemic. We gathered amid political backlash in the south as anti-CRT and DEI legislation dominated educational landscapes and abortion rights were curtailed. We …

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Boundless Community: A Developing Disability Arts Movement, Sarah K. Benson, Khaldoun Hijazin, Alaa Qattam, Suha Khuffash Mar 2026

Boundless Community: A Developing Disability Arts Movement, Sarah K. Benson, Khaldoun Hijazin, Alaa Qattam, Suha Khuffash

Journal of Social Theory in Art Education

Over several years, individual organizations in Jordan have been focused on increasing the participation of individuals with disabilities in the arts. Increasing inclusion can provide a powerful tool to create visibility, amplify marginalized voices and disrupt normative narratives. However, these isolated efforts had a limited impact until a cohesive effort borne by a burgeoning community of practice led to the first Amman Arts and Disability Summit. Bringing together youth, artists and gallery owners, the movement leaders are using models of social learning and communities of practice to create a more inclusive arts community. The movement stands on the precipice of …

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Fabricating Decolonial Futures: The Power Of Afrofuturism And Indigenous Futurism, Albert Stabler Mar 2026

Fabricating Decolonial Futures: The Power Of Afrofuturism And Indigenous Futurism, Albert Stabler

Journal of Social Theory in Art Education

Inspired by important works of speculative fiction, the movements of Afrofuturism and Indigenous Futurism have come to encompass a wide range of works by Black and Indigenous creators, including but not limited to visual artists. In this article I describe my own work as a white high school art teacher in a BIPOC classroom, leading class projects motivated by the fascinating overlaps of traditional practices, social critique, and futuristic fantasy in Afrofuturist art. I then go on to describe speculative creative works by Indigenous and Black artists that have continued to follow this path, particularly using digital tools and new …

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A Segmentation Of Buildings From Multi-Scene Drone Images Using Deep Learning Models: Case Study- A Car Multi-Story Garage In The Camp Of The University Of Technology, Akram Jalil, Imzahim Alwan Mar 2026

A Segmentation Of Buildings From Multi-Scene Drone Images Using Deep Learning Models: Case Study- A Car Multi-Story Garage In The Camp Of The University Of Technology, Akram Jalil, Imzahim Alwan

Engineering and Technology Journal

Accurate building segmentation is essential for urban planning, monitoring, and mapping. Most deep learning approaches rely on single-view images, limiting segmentation accuracy due to the loss of spatial context. This re-search proposes a multi-view deep learning framework that integrates features extracted from four pre-trained CNN models—MobileNetV2, Res-Net50, VGG16, and InceptionV3—to capture multi-angle and multi-scale details. A vision transformer is employed to fuse and refine these features, enhancing global context and boundary precision. The proposed method was evaluated using UAV imagery of a multi-story garage at the University of Technology, captured by a DJI Mavic 2 Pro with a high-resolution Hasselblad …

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Evaluation Of The Dynamic Variations Of Groundwater Utilizing Grace Data For The Dammam Aquifer Within Muthanna Governorate, Iraq, Hanan Mohammed, Mahmoud Al-Khafaji, Imzahim Alwan Mar 2026

Evaluation Of The Dynamic Variations Of Groundwater Utilizing Grace Data For The Dammam Aquifer Within Muthanna Governorate, Iraq, Hanan Mohammed, Mahmoud Al-Khafaji, Imzahim Alwan

Engineering and Technology Journal

Recently, the worldwide drought situation has gotten worse and is posing a serious threat to many nations, including Iraq. It is now unavoidable to use modern technologies, including remote sensing, to lessen the effects of this catastrophe. This paper aims to check the consistency of groundwater storage (GWS) derived from multiple sources utilizing remote sensing data with direct measurements in wells in the Dammam unconfined aquifer, which is situated in Al-Muthanna Governorate, Iraq. This study utilizes the water-level readings from well records from January 2008 to December 2014. The groundwater results from different combinations of Gravity Recovery and Climate Experiment …

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Ai-Driven Attacks On Database Security: Taxonomy And Defense Strategies, Diyar Naaman, Berivan Ahmed, Hajar Yasin Mar 2026

Ai-Driven Attacks On Database Security: Taxonomy And Defense Strategies, Diyar Naaman, Berivan Ahmed, Hajar Yasin

Engineering and Technology Journal

Artificial intelligence has introduced both unprecedented capabilities and novel vulnerabilities into database environments, enabling highly adaptive attacks that can evade traditional defenses. This review surveys recent research published between 2022 and 2025 on AI-assisted database security threats and synthesizes the literature to develop a comprehensive taxonomy of emerging attack approaches. We identified five primary classes of AI-based attacks: intelligent SQL injection attacks, adversarial machine learning strategies targeting database security systems, data poisoning attacks on AI-based databases, automated reconnaissance exploits, and sociotechnical manipulations aimed at database administrators. We systematically reviewed publications on cyber defense stored in IEEE Xplore, ACM Digital Library, …

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The Effect Of Synthetic Minority Oversampling For Enhancing Brain Tumor Image Classification, Farah Fadhil, Zainab Sultani Mar 2026

The Effect Of Synthetic Minority Oversampling For Enhancing Brain Tumor Image Classification, Farah Fadhil, Zainab Sultani

Engineering and Technology Journal

Brain tumors are among the most serious neurological diseases, posing significant diagnostic challenges due to their diverse nature and complexity imbalance in medical imaging datasets. To address these challenges, machine learning (ML) has demonstrated high potential in brain tumor classification; nevertheless, its overall performance can suffer when minority classes are underrepresented. This study examines the impact of the Synthetic Minority Over-sampling Technique (SMOTE) on MRI brain tumor classification using handcrafted features, including Gray Level Co-occurence Matrix (GLCM), Histogram of Oriented Gradients (HOG), and their combination (HOG + GLCM), with three classifiers, namely, Logistic Regression (LR), Support Vector Machines (SVM), and …

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In-Chip Artificial Intelligence Technology For Generating And Self-Correcting The Topology Of Low-Consumption Rc Filters, Zainab Al-Araji Mar 2026

In-Chip Artificial Intelligence Technology For Generating And Self-Correcting The Topology Of Low-Consumption Rc Filters, Zainab Al-Araji

Engineering and Technology Journal

This study presents an innovative self-tuning system for first-class RC filter circuits, specially designed to achieve a target cut-off frequency of 500 kHz with unprecedented accuracy and high energy efficiency. The proposed model is based on a multivariate adaptive tuning algorithm that synchronously adjusts both the resistance (R) and the capacitance (C). The effectiveness of the model was verified through a three-level methodology that included theoretical modeling using Maxwell's equations, digital simulation using the MATLAB/Simulink environment, and practical testing with an accurate spectrometer. The results demonstrated a standard frequency accuracy of 99.9969% and a relative error of less than 0.0031%, …

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Disaster Management-Based Internet Of Things Using Wireless Sensor Networks, Ali Abed, Anas Hussien, Lara Falaha Mar 2026

Disaster Management-Based Internet Of Things Using Wireless Sensor Networks, Ali Abed, Anas Hussien, Lara Falaha

Engineering and Technology Journal

Wireless Sensor Networks (WSNs) have become essential in the monitoring and managing environmental disasters, providing real-time data collection and transmission functionalities. Their application is especially crucial in flood-prone areas, where prompt detection and action can reduce substantial human, economic, and infrastructural losses. Wireless Sensor Networks (WSNs) comprise spatially distributed sensors that monitor environmental parameters, including water levels, temperature, and humidity, relaying data to a centralized system for analysis and response. This paper proposes a flood monitoring system based on a wireless sensor network, emphasizing installing water-level sensors in dam basements.  The system employs the ZigBee communication protocol to provide low-power, …

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Experimental Investigation Of Applying Multi-Stage (Pid-Mrac) Controller For Trajectory Tracking Of Four Mecanum Wheeled Mobile Robot, Asaad Abdullsahib, Hassan Alwan Mar 2026

Experimental Investigation Of Applying Multi-Stage (Pid-Mrac) Controller For Trajectory Tracking Of Four Mecanum Wheeled Mobile Robot, Asaad Abdullsahib, Hassan Alwan

Engineering and Technology Journal

This paper presents a practical investigation into the design and implementation of a multi-stage controller, which integrates a Model Reference Adaptive Controller (MRAC) with a Proportional-Integral-Derivative (PID) controller for trajectory tracking control in a Four Mecanum Wheels Mobile Robot (FMWMR). The MRAC adaptively updates the control parameters based on the difference between the actual and desired behaviors of the mobile robot. In contrast, the PID controller manages the angular velocities of the wheels. The mobile robot has been designed and constructed with two holders to facilitate the transportation of logistical items and constrain the weight to the center of the …

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An Optimal Area Power System-Based Automatic Load Frequency Control Using A 1-D Lookup Table Method, Ekhlas Thajeel Mar 2026

An Optimal Area Power System-Based Automatic Load Frequency Control Using A 1-D Lookup Table Method, Ekhlas Thajeel

Engineering and Technology Journal

Automatic load frequency control (ALFC) is an important part of auxiliary services in power systems. To sustain system accuracy and ensure the safety of power systems, ALFC system design is a vital issue. Power system networks must quickly address the imbalance between generation and demand, or else the power line frequency will depart from its nominal value. However, performance might be disappointing, and frequency deviation can occur when a substantial disturbance occurs, such as when a rapid, significant load change happens. In particular, an enormous number one- and two-dimensional lookup table is used; in this study, the 1-D Lookup Table …

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Design And Control Of Wireless Charging System For Electric Vehicle, Basma Abbas, Hosham Anead, Khalid Sultan Mar 2026

Design And Control Of Wireless Charging System For Electric Vehicle, Basma Abbas, Hosham Anead, Khalid Sultan

Engineering and Technology Journal

This study concentrated on utilizing a neural network controller and inductive power transfer to enhance the electric vehicle charging. Electric vehicles are a key transportation system component since they lower fuel costs, noise levels, and carbon emissions. The charging duration and operational battery efficiency are the primary obstacles to wireless charging in electric vehicles. In the beginning, the system was designed. It included the primary side (grid, rectifier, DC-DC boost converter, and DC-AC high-frequency inverter), mutual inductance (one coil transmitter and six coils receiver), and secondary side (single-phase rectifier and battery pack). A neural network controller has been employed to …

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Comparative Study On Finite Time Tracking Design Based On Pid For 1-Degree Of Freedom Manipulator, Samara Al-Dahlaky, Safanah Raafat Mar 2026

Comparative Study On Finite Time Tracking Design Based On Pid For 1-Degree Of Freedom Manipulator, Samara Al-Dahlaky, Safanah Raafat

Engineering and Technology Journal

In this paper, the application of Sliding Mode Control (SMC) and its integration with Finite-Time Stability (FTS) for controlling 1-degree of-freedom (DOF) system has been explored. By combining FTS with SMC, the convergence speed is significantly improved, enhancing the system's resistance to external disturbances. This paper demonstrates a detailed comparative study on the application of SMC based on FTS with a SMC, and with conventional-PID (C-PID). The SMC developed in this paper is based on a PID controller to ensure that the system's trajectory converges exponentially to zero. The results show that using SMC with FTS provides faster and more …

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A Review Study On Ai-Driven Robotics And Automation In Smart Manufacturing: Applications, Challenges, And Economic Impacts, Timothy Adeyi, Jacob Adebayo, Olakunle Oresegun, Shade Ademokoya, Sunday Jegede, Adrian Cheok Mar 2026

A Review Study On Ai-Driven Robotics And Automation In Smart Manufacturing: Applications, Challenges, And Economic Impacts, Timothy Adeyi, Jacob Adebayo, Olakunle Oresegun, Shade Ademokoya, Sunday Jegede, Adrian Cheok

Engineering and Technology Journal

Integrating AI-driven robotics and automation revolutionizes smart manufacturing by enhancing operational efficiency, productivity, and system flexibility across automotive, aerospace, and general equipment manufacturing industries. This review synthesizes findings from 84 peer-reviewed publications to evaluate the transformative potential of key AI technologies—including machine learning, digital twins, edge AI, and human-machine collaboration—in optimizing production lines and enabling predictive maintenance, real-time monitoring, and adaptive decision-making. While these innovations offer significant benefits in quality control, cost reduction, and sustainability, challenges remain in integrating AI with legacy systems, addressing workforce skill gaps, and ensuring cybersecurity and ethical compliance. Emerging trends such as 5G-enabled edge computing …

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Enhancing Network Quality Of Experience Based On Artificial Neural Networks, Ali Mohammed, Rana Ghani Mar 2026

Enhancing Network Quality Of Experience Based On Artificial Neural Networks, Ali Mohammed, Rana Ghani

Engineering and Technology Journal

In modern networking, ensuring both Quality of Experience (QoE) and Quality of Service (QoS) is paramount due to the increasing demand for efficient, reliable, and high-performance networks. With the surge in data traffic, traditional network management techniques often struggle to maintain optimal service levels, particularly in addressing challenges such as packet loss, excessive delay, and jitter. This paper presents an approach that integrates an Artificial Neural Network (ANN) into a multi-level queuing system, combined with Weighted Round Robin (WRR) scheduling, to address these persistent issues effectively. The key innovation lies in the dynamic and intelligent adaptation of network resource allocation …

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Improvement Of Signal Detection Based On Using Machine Learning, Bassam Abd Mar 2026

Improvement Of Signal Detection Based On Using Machine Learning, Bassam Abd

Engineering and Technology Journal

During the communication system development over the years, detecting and identifying the signal from the affected noise had the major role and the most attention from the researchers. The deep learning algorithm has become a very attractive tool for distinguishing between signal and noise. Learning and training are the two important steps in designing any deep learning system. The proposed system depends on the support vector machine (SVM). The SVM is one of the most popular learning algorithms in different fields, such as signal processing, image processing, communication, and pattern recognition. The SVM classifier is a supervised learning algorithm that …

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Design And Analysis Of Reconfigurable Filters Employing Varactor And Pin Diodes, Salah Mahdi, Mithaq Raheema, Raaed Hammed Mar 2026

Design And Analysis Of Reconfigurable Filters Employing Varactor And Pin Diodes, Salah Mahdi, Mithaq Raheema, Raaed Hammed

Engineering and Technology Journal

This work presents a comprehensive and comparative study on reconfigurable/tunable microstrip filters, aiming to analyze and understand the impact of varactors, PIN diodes, lumped capacitors, and inductors on the overall filter performance. The study begins by thoroughly classifying reconfigurable microstrip filters based on their reconfigurability functions and the utilization of varactors or PIN diodes. The investigation delves into the influence of varactors and PIN diodes on the performance parameters of microstrip filters. The analysis includes key aspects like center frequency tunability, bandwidth adjustment, and signal attenuation. Additionally, the impact of these reconfigurable elements on insertion loss and return loss is …

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Recent Advances In Journal Bearings: Wear Fault Diagnostics, Condition Monitoring And Fault Diagnosis Methodologies, Nazik Jebur, Wafa Soud Mar 2026

Recent Advances In Journal Bearings: Wear Fault Diagnostics, Condition Monitoring And Fault Diagnosis Methodologies, Nazik Jebur, Wafa Soud

Engineering and Technology Journal

This review comprehensively encompasses a range of recent studies on journal bearings, emphasizing wear fault diagnostics, condition monitoring, and fault diagnosis methodologies. A significant finding reveals a shift back to the utilization of journal bearings in various rotating machinery such as compressors, motors, turbines, and pumps. Various methodologies employed in these recent studies include vibration analysis, machine learning, deep learning, and both numerical and experimental simulations. Key findings indicate that ensemble models, such as the CNN and deep neural network (CNNEPDNN) model, significantly improve convergence speed, test accuracy, and F-Score in bearing fault diagnosis by 15-20% compared to individual models. …

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A Review Of A Study On Improving The Performance Of Spherical Solar Stills, Faiz Jodah, Wissam ِAlawee, Hayder Dhahad, Z.M. Omara Mar 2026

A Review Of A Study On Improving The Performance Of Spherical Solar Stills, Faiz Jodah, Wissam ِAlawee, Hayder Dhahad, Z.M. Omara

Engineering and Technology Journal

The urgent need for potable water has increased despite water covering much of the Earth's surface. Solar desalination, which uses solar energy to produce fresh water, is an eco-friendly and cost-effective solution, especially for remote areas lacking clean drinking water. This technology is valuable even in deserts with no other freshwater sources. However, conventional solar stills have low efficiency. To address this, various experiments have been conducted to enhance the daily output of solar stills by improving evaporation and condensation rates, which standard distillers cannot achieve. This innovation in using solar power thus finds its place even on desert sands …

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