Digital Commons Network^™

The Effective Of The Passive And Active Techniques On The Vibration Control System, Firas Jasim, Mohammed Mohammed, Hatam Kadhom

Engineering and Technology Journal

The interaction between structures and fluid flow in a direction perpendicular to the body can induce vibrations in the structure, a phenomenon known as vortex-induced vibration (VIV). This phenomenon may lead to structural failure due to resonance, which occurs when the natural frequency of the structure matches the vortex shedding frequency. Therefore, it is essential to employ vibration control devices to address the resulting high-amplitude instabilities. In this study, a subsonic wind tunnel with open-circuit specifications was constructed. This open-type wind tunnel generates airflow at varying velocities through the test section. To control vibrations around the cylindrical pipe, an Open-Loop …

The Influence Of Electrochemical Machining Parameters On Power Consumption And Mrr, Lara Salman, Abbas Ibrahim, Baraa Albaghdadi

Engineering and Technology Journal

The electrochemical machining (ECM) process is a highly developed method of working with metal. This process can be used to machine objects that are difficult or impossible to create using conventional machining processes. In this context, monitoring power consumption in industrial companies makes the process more energy-efficient, cost-effective, and sustainable, lowers energy waste from machine tools, and, thus, reduces costs. Therefore, the primary objective of this research is to determine how the ECM impacts power consumption and the material removal rate (MRR). Specifically, the workpiece was made of aluminum 6061 alloys, Al-Sic, and Al-B4C, using a stir casting process, while …

Developing A Novel Heuristic Method To Solve The Unbalanced Allocation Problem, Faten Al-Obaidi, Alla Eldin Kassam, Sawsan Al-Zubaidi

Engineering and Technology Journal

Globalization and technological advancements have emphasized the importance of efficient resource allocation for production, efficiency, cost reduction, and optimal use. The assignment problem, a long-term issue, has gained researchers' attention due to its significant impact on institutional success. It prioritizes resource allocation to minimize time and cost while ensuring the feasible execution of activities. The assignment issue can be balanced (the number of activities matches the number of resources) or unbalanced (the number of activities does not match the number of resources). This can lead to resources being left without assignments or activities without implementation when resources exceed activities. A …

Using Artificial Neural Networks To Predict The Compressive Strength Of Cement And Sawdust Ash-Treated Lateritic Soil, James Ukpai, Ugochukwu Okonkwo

Engineering and Technology Journal

Sawdust industrial residue could be hazardous to the environment, but it becomes pozzolanic when incinerated. Thus, harnessing sawdust ash (SDA) and lateritic soil as road construction materials for low-cost roads is apt. However, modeling and prediction of the properties of soils treated with SDA have received very little attention. This study predicted the compressive strength of lateritic soil treated with cement and SDA using an Artificial Neural Network (ANN). The soil was found to belong to A-2-4(0) in the AASHTO rating and clayey sand (SC) in the Unified Soil Classification System. The soil minerals composition was conducted using an x-ray …

Mapping Agricultural Lands At Risk Of Meteorological Drought In Iraq Using Geostatistics, Mohammed Azeez, Hisham Al Sharaa, Abdul Razzak Ziboon

Engineering and Technology Journal

Identifying vulnerable agricultural lands at risk of meteorological drought is challenging for researchers. Its complexity lies in the fact that agricultural lands are irrigated by two sources: rain and rivers. In this research, we have developed a geostatistical model to separate river-dependent lands unaffected by meteorological drought waves and land vulnerable to the risk of meteorological drought. The inputs of this geostatistical model are the vegetation index and the humidity index extracted from Landsat 8, the rainfall from CHIRPS, and the LULC from ESA. The correlation between the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Moisture Index (NDMI), and …

Mechanical And Fracture Performance Of Fresh Rubberized Self-Compacting Concrete: A Mini Review, Muntadher Taher, Tareq Al-Attar, Aqeel Al-Adili

Engineering and Technology Journal

Sustainable construction procedures use recyclable material; thus, the construction process and design choices are focused on planet health. SCC is a new generation of concrete that offers the achievement of high durability and flexibility in Rubberized Self-Compacting Concrete (RSCC) by employing recycled tire rubber and Self-Compacting Concrete (SCC). This review investigates the mechanical and cracking characteristics of rubberized self-compacting concrete and rubber content effects. Formwork requirement is brought down by the concrete’s ability to compact itself, thereby increasing user satisfaction. Energy is effectively absorbed, the flexibility of concrete is increased, and tire disposal is made simpler with rubber granules. Rubber …

Enhancing The Removal Of Total Dissolved Solids From Petroleum Wastewater Through Electrocoagulation, Muhammad Jasim, Forat Aljaberi, Saja Alardhi, Ali Salman, Mustafa Hathal, Igor Cretescu, Armando Vargas

Engineering and Technology Journal

This study aims to employ an electrocoagulation reactor to treat petroleum effluent from a local plant and reduce dissolved solids (TDS) to suitable levels for reuse. A continuous reactor configuration featured a finned stainless steel cathode tube positioned between two cylindrical aluminum anodes. This study explored the influence of treatment duration (4–60 minutes), current density (0–6.0 mA.cm-2), and influent rate (50–150 ml/min) on the final TDS value. Flow rate increase correlated with increased final TDS values, while longer electrolysis durations and higher current densities led to decreased TDS levels. Optimized electrolysis conditions at 1 hour, 5 mA.cm-2, and 50 ml/min, …

Experimental And Theoretical Study To Improve Heat Transfer Using Nanofluids Flow In Copper Tube, Zahraa Hussain, Jamal Ali, Hasan Majdi, Abbas Sultan, Bashar Kadhim, Haidar Al-Naseri

Engineering and Technology Journal

Improving heat transfer efficiency in base fluids remains a key challenge in various thermal applications. To address this, several researchers have suggested the integration of nanoparticles into base fluids, leveraging recent advancements in nanotechnology to enhance performance. This study compares different types of nanoparticles and preparation methods for nanofluids and examines the impact of their properties on improving heat transfer. The convective heat transfer under a turbulent flow regime was studied experimentally and numerically in a copper tube used as a test section. Advanced measurement techniques were employed, including a Flux Teq LLC heat flux sensor mounted on the test …

Robot Path Planning Using Enhanced Q-Learning Algorithm Based On Single Parameter., Noor Fallooh, Ahmed Sadiq, Eyad Abbas, Ivan Hashim

Engineering and Technology Journal

One of the challenging aspects of robot navigation is path planning in a dynamic environment. The Q-learning algorithm is one of the reinforcement learning techniques that can be applied to the path planning of a mobile robot. The vital algorithm for any intelligent mobile robot is path planning. On the other hand, the traditional Q-learning method examines every conceivable state of the robot to choose the optimal path. As a result, this method is very computationally intensive, especially when there is a need to compute a large environment. This study proposes a modified version of the technique for planning robot …

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 …

Metaheuristic Algorithm For Parametric Optimization Of Liquid Nitrogen Pumping In Hydrocarbon And Allied Fluids Piping Systems, S. Isaac, C. Kadurumba, H. Ugwu, F. Abam

Engineering and Technology Journal

This study applied a population-based metaheuristic algorithm to optimize liquid nitrogen pumping in hydrocarbon and allied fluids piping systems to ensure optimal process efficiency, minimize energy consumption, and minimize operational costs without extensive computational tasks while considering uncertainties and variability. Liquid nitrogen pumping in hydrocarbon and allied fluids piping systems involves a heat and mass transfer process where by liquid nitrogen flows from the storage tank to the pump unit and is converted to the gaseous state in an integrated heat exchanger. The continuous high pressure from the triplex reciprocating pump pushes the gaseous nitrogen to the hydrocarbon and allied …

Free Vibration Analysis Of Aluminum Foam Metal Sandwich Panels: A Comparative Study Between Numerical And Analytical Modelling, Zahra Hamdan, Sadeq Bakhy, Muhsin Jweeg

Engineering and Technology Journal

This study investigates the natural frequencies and vibrational behavior of aluminum foam sandwich panels by using numerical and analytical methods. The panels consist of an aluminum foam core sandwiched between two aluminum sheets, offering a lightweight yet structurally robust solution, making them ideal for applications in the aerospace and automotive industries. A mathematical model based on classical plate theory (CPT) was developed to compute the natural frequencies of supported rectangular sandwich plates. The Gibson-Ashby equation was employed to estimate the Young's modulus of the aluminum foam core. The analytical model was validated using finite element analysis (FEA) conducted in ANSYS …

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. …

Experimental Investigation Of Exhaust Temperature Effect On Teg Cells Power Generation And Assessment Of Engine Sfc And Emissions, Eid Mohamed

Engineering and Technology Journal

The thermoelectric cell generators (TECG) convert thermal power into electrical power generated. The main factor in its operation is the temperature difference (TD) between its surfaces. An experimental investigation was conducted into the waste heat recovery performance of the TECG system. Forty thermoelectric cells (TECs) are supported on the (4 5) upper and (4 5) lower and upper arrangement of the engine exhaust manifold. The electrical power generated (EPG), exhaust gas flow rate, exhaust temperature, brake-specific fuel consumption (BSFC), and exhaust emissions were experimentally investigated under different engine speeds and 50 N.m and 100 N.m engine load conditions. Comparative results …

Finite Element Analysis And Artificial Neural Network For Stress Distribution Of An Aircraft Model In A Wind Tunnel, Ahmed Al-Mulla Khalaf, Sinan Al-Haddad, Bilal Al-Oubaidi, Naseem Ibrahim, Fawaz Abdulwahed, Athraa Hilal

Engineering and Technology Journal

Wind tunnels are instrumental in the aerodynamic analysis of aircraft model structures, enabling the replication of real circumstances for better design and performance evaluation. This paper presents a novel enhancement to stress distribution predictions in wind tunnel simulations by combining Finite Element Analysis (FEA) and Artificial Neural Networks (ANN). First, the research focuses on analyzing ANSYS Fluent data, which provides insights into the complex fluid dynamics inside the wind tunnel. The proposed approach combines the best available FEA and ANN techniques regarding prediction accuracy and computational efficiency. Such findings are those that evidence that predictions of real stress levels using …

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 …

The Physical World Of The Greeks, Samuel Sambursky

Hannah Arendt Marginalia - All

London : Routledge and Paul, 1956.

Call#: Q127.G7 S313 1956

Contains underlining and marginalia

PDF information: 17 pages - 5.7MB

Evaluating The Interpolation Techniques For Completing The Soil Data And Mapping Jazan City, Saudi Arabia, Using Gis, Ehab Sabi, Mahmoud Abdelrahim Abdelgiom

Yanbu Journal of Engineering and Science

The goal of the study is to determine which of the chosen interpolation techniques is optimal for forecasting soil characteristics in unmeasured areas for infrastructure and building projects. The study also incorporates geotechnical data from 23 regional boreholes with the UNESCO soil classification system developed by the Food and Agriculture Organization (FAO). The mapping and accuracy of different interpolation techniques were assessed using ArcGIS 10.4. Additionally, Spline, Inverse Distance Weighting (IDW), Kriging, Natural Neighbor, and Radial Basis Functions are used to assess the precision and efficacy of several interpolation techniques. The investigation's conclusions showed that the ``natural neighbor'' strategy was …

Section Iii -- College Of Liberal Arts Policies And Procedures (Updated 03/02/2026), All Faculty

Faculty Handbooks

No abstract provided.

Spectroscopy And Photochemistry Of The Astrochemical Molecules Sicp And Alcp, Vincent J. Esposito, Tarek Trabelsi, Rebecca Firth, Ryan C. Fortenberry, Joseph S. Francisco

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Through characterization of the electronic excited-state topology, linear-SiCP is predicted to be photostable in the UV region, whereas linear-AlCP is predicted to undergo photodissociation to form Al+CP products after absorption of light in the 200–250 nm range, representing a catalytic process for freeing aluminum molecules from a solid dust grain. Both SiCP and AlCP are predicted to have electronic transitions with large absorption cross sections (∼10^–17 cm²) and to undergo fluorescence from bound excited states. The total electronic absorption spectrum is provided to inform electronic spectroscopy experiments. Silicon (SiC) and aluminum (Al₂O₃) dust …

Jax Animal Behavior System (Jabs), A Genetics-Informed, End-To-End Advanced Behavioral Phenotyping Platform For The Laboratory Mouse., Anshul Choudhary, Brian Q Geuther, Thomas J. Sproule, Glen L Beane, Vivek Kohar, Jarek Trapszo, Vivek Kumar

Faculty Research 2026

Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated behavior detection and allow high-throughput preclinical and mechanistic studies. An integrated hardware and software solution is necessary to facilitate the adoption of these advances in the field of behavioral neurogenetics, particularly for non-computational laboratories. We have published a series of papers using an open field arena to annotate complex behaviors such as grooming, posture, and gait as well as higher-level constructs such as biological age and pain. Here, we present our integrated rodent phenotyping platform, JAX Animal Behavior System (JABS), to …

Jax Animal Behavior System (Jabs), A Genetics-Informed, End-To-End Advanced Behavioral Phenotyping Platform For The Laboratory Mouse., Anshul Choudhary, Brian Q Geuther, Thomas J. Sproule, Glen L Beane, Vivek Kohar, Jarek Trapszo, Vivek Kumar

Faculty Research 2026

Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated behavior detection and allow high-throughput preclinical and mechanistic studies. An integrated hardware and software solution is necessary to facilitate the adoption of these advances in the field of behavioral neurogenetics, particularly for non-computational laboratories. We have published a series of papers using an open field arena to annotate complex behaviors such as grooming, posture, and gait as well as higher-level constructs such as biological age and pain. Here, we present our integrated rodent phenotyping platform, JAX Animal Behavior System (JABS), to …

Korean Words In The Oed: Race, Gender, And The Modern English Speaker, Elaine W. Chun

Faculty Publications

This article examines representations of the Modern English Speaker of Korean (MESK) in the Oxford English Dictionary (OED), as lexicographers listened to and documented the language of this figure over the past century. I show that, until the early twenty-first century, the most salient type of MESK was the Koreanist, a white, masculine expert on and translator of Korean, the language of a racial other. By contrast, more recent Korean entries, influenced by the global spread of hallyu, have invoked the Korea Fan, a figure that potentially unsettles longstanding ideologies of language, race, and gender. I …

Search For Ultra-High-Energy Neutrons From Galactic Sources With The Pierre Auger Observatory, A. Abdul Halim, P. Abreu, M. Aglietta, I. Allekotte, K. Almeida Cheminant, A. Almela, B. Fick, K. Nguyen, D. Nitz

Michigan Tech Publications

Deflections in the propagation of charged ultra-high-energy cosmic rays (UHECRs) caused by magnetic fields make the identification of their sources challenging. On the other hand, the arrival directions at Earth of neutrons point directly to their origin. The emission of UHECRs from a source is expected to be accompanied by the production of neutrons in its vicinity through interactions with ambient matter and radiation. Since free neutrons travel a mean distance d kpc−1 = 9.2 (E EeV−1) before decaying, a neutron flux in the EeV range could be detected on Earth from sources of UHECRs in our Galaxy. Using …

Co-Electrospinning Polyacrylonitrile (Pan) / Polymer Of Intrinsic Microporosity-1 (Pim-1) For Electrochemical-Based Sensor For Pyridine Detection And Absorption, Samar A. Salim

Nanotechnology Research Centre

The electrospinning of the polymer of intrinsic microporosity-1 (PIM-1) poses challenges due to its limited solubility and tendency to form bead-like structures at high concentrations. This work details the synthesis and analysis of electrospun composite fibers made from polyacrylonitrile (PAN) and PIM-1 for electrochemical applications. The data analysis confirmed the successful incorporation of PIM-1 into the PAN matrix. The fiber characteristics were significantly influenced by PIM-1 loading (1–10%), resulting in fiber diameters ranging from 0.8 to 1.7 μm. A 10% concentration of PIM-1 results in the formation of macropores with diameters ranging from 0.5 to 1.7 μm. Optical analysis using …

An Ai Approach To Differentiating Lung Squamous Cell Carcinoma From Metastases Of Other Origins, Mark G Evans, Jennifer Ribeiro, Todd Maney, Anthony Helmstetter, Jennifer Johnson, Anthony Karnezis, Casey Bales, George Sledge, David Spetzler, Ari Vanderwalde, Matthew Oberley, Balazs Halmos, Hossein Borghaei, Farah Abdulla, David Bryant, Fred Hirsch, Hassan Ghani

Department of Medical Oncology Faculty Papers

IMPORTANCE: Distinguishing primary lung squamous cell carcinoma (SCC) from squamous metastases to the lung is a clinical challenge due to histopathologic similarities. Accurate diagnosis is essential to guide treatment decisions.

OBJECTIVE: To assess the utility of an artificial intelligence (AI) approach that includes evaluation of key orthogonal evidence in distinguishing primary lung SCCs from metastatic tumors of other tissue origins.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study used GPSai, a tissue-of-origin AI model run automatically on each sample submitted for molecular profiling, to flag potential misdiagnoses among research-eligible cases submitted as lung SCC. Molecularly profiled cases within the Caris Life …

The Rider (2026-03-02), Daniela Chapa-Reyes

The Rider Archives

Vol. 11, No. 21

Lanthorn, Vol. 60, No. 12, March 2, 2026, Grand Valley State University

Volume 60, August 4, 2025 – April 20, 2026

Lanthorn is Grand Valley State's student newspaper, published from 1968 to the present.

Precision Measurement Of A Resistance Standard At Frequencies Up To 2 Mhz, Jurgen Schurr, Shakil A. Awan

School of Engineering, Computing and Mathematics

We report on two-terminal-pair and four-terminal-pair (4TP) measurements of a 10 kΩ resistance standard by means of a commercial precision inductance-capacitance-resistance meter (LCR meter) at frequencies up to 2 MHz. We discuss the effect of cables on a resistance standard measured in either two- or 4TP configuration and demonstrate within which uncertainty the effect of 2.5 m long measuring cables can be corrected accurately. Such long cables are inevitable for precision measurements of the quantum Hall resistance (QHR) at high frequencies. Furthermore, the systematic effects of the LCR meter, such as the internal input capacitances, voltage and frequency dependences, and …

Designing Novel Bisquinoline Antimalarials From Historical 4-Aminoquinolines To Combat Drug-Resistant Malaria, Mason J. Handford, Yuexin Li, Terry Riscoe, Xiaowei Zhang, Jane X. Kelly, Michael K. Riscoe

Chemistry Faculty Publications and Presentations

Plasmodium falciparum, the deadliest causative agent of malaria, continues to evade eradication efforts through widespread drug resistance. The recent development of ADC-028, a 4-aminoquinoline antimalarial with excellent activity and pharmacokinetic properties, prompted the investigation of bisquinoline analogs featuring similar structural motifs. Here, we describe a structure-activity relationship study that guided the optimization of compounds with key features, including the 4-anilinoquinoline core and diverse bridging linkers. Several analogs exhibited potent in vitro activity (IC50 < 20 nM) against both drug-sensitive and multidrug-resistant P. falciparum strains, while maintaining favorable cytotoxicity profiles. Among them, 25 demonstrated improved intrinsic metabolic stability (t1/2 = 121 min) and potent in vivo efficacy (ED50 = 0.32 mg/kg/day), achieving complete curative protection at a reduced dose compared to ADC-028. While 25 showed moderately reduced oral bioavailability (F = 43%) and a shorter half-life (T1/2 = 27.2 h) relative to ADC-028, its enhanced in vivo efficacy underscores its therapeutic potential. This work highlights a promising path forward in developing antimalarials that retain the efficacy of legacy compounds while overcoming modern resistance mechanisms.