Digital Commons Network^™

Experimental Investigation Of Temperature Polarisation By Capturing The Temperature Profile Development Over Dcmd Membranes, Hiras Ahamed Hijaz, Masoumeh Zargar, Abdellah Shafieian, Amir Razmjou, Mehdi Khiadani

Research outputs 2022 to 2026

Temperature polarisation (TP) is a major drawback limiting the global acceptance of membrane distillation (MD) technology. TP is typically quantified using a dimensionless index known as Temperature Polarisation Coefficient (TPC). TPC has significant limitations, whereby it cannot be used to compare different MD configurations or design conditions, nor to analyse the TP phenomenon along the membrane. In this research, the temperature profile over and along a lengthy DCMD membrane has been measured under various operational conditions, where its impact on TP has been explored for the first time. A specialised DCMD membrane cell was manufactured to capture temperature profiles, both …

Alexnet Convolutional Neural Network Architecture With Cosine And Hamming Similarity/Distance Measures For Fingerprint Biometric Matching, Ahmed Sabah Ahmed Al-Jumaili, Huda Kadhim Tayyeh, Abeer Alsadoon

Baghdad Science Journal

In information security, fingerprint verification is one of the most common recent approaches for verifying human identity through a distinctive pattern. The verification process works by comparing a pair of fingerprint templates and identifying the similarity/matching among them. Several research studies have utilized different techniques for the matching process such as fuzzy vault and image filtering approaches. Yet, these approaches are still suffering from the imprecise articulation of the biometrics’ interesting patterns. The emergence of deep learning architectures such as the Convolutional Neural Network (CNN) has been extensively used for image processing and object detection tasks and showed an outstanding …

Synthesis, Characterization And Properties Of Trimethylolpropane Triesters From Coconut (Cocos Nucifera) Methyl Esters, Aliru Olajide Mustapha, Sofiat Omowumi Rasaq, Mukaila Tunde Raimi, Suliat Kemi Amisu, Faimot Peju Bello, Yemisi Tokunbo Afolabi, Dayo Oshilaru

Baghdad Science Journal

In this study, the acid-alkaline transesterification of refined coconut seed oil (RCOSO) to fatty acid methyl ester was followed by the production of a trimethylolpropane-based thermosensitive biolubricant using potassium hydroxide, and its physicochemical characteristics were evaluated. The American Standard Test for Materials (ASTM) was employed to ascertain the biolubricant's pour point and index of viscosity, which were found to be -4 oC and 283.75, respectively. The opposite connection between lubricant viscosity and temperature was shown by the measured viscosities at varied transesterification to be transformed into biodiesel. Following this, a biolubricant was created by further transesterifiedtemperature. The ester group is …

Classification Of Diseases In Oil Palm Leaves Using The Googlenet Model, Asmah Indrawati, Abdul Rahman, Erwin Pane, Muhathir

Baghdad Science Journal

The general health of palm trees, encompassing the roots, stems, and leaves, significantly impacts palm oil production, therefore, meticulous attention is needed to achieve optimal yield. One of the challenges encountered in sustaining productive crops is the prevalence of pests and diseases afflicting oil palm plants. These diseases can detrimentally influence growth and development, leading to decreased productivity. Oil palm productivity is closely related to the conditions of its leaves, which play a vital role in photosynthesis. This research employed a comprehensive dataset of 1,230 images, consisting of 410 showing leaves, another 410 depicting bagworm infestations, and an additional 410 …

An Observation And Analysis The Role Of Convolutional Neural Network Towards Lung Cancer Prediction, Suranjana Mitra, Annwesha Banerjee Majumder, Tanusree Saha

Baghdad Science Journal

Lung cancer is one of the most serious and prevalent diseases, causing many deaths each year. Though CT scan images are mostly used in the diagnosis of cancer, the assessment of scans is an error-prone and time-consuming task. Machine learning and AI-based models can identify and classify types of lung cancer quite accurately, which helps in the early-stage detection of lung cancer that can increase the survival rate. In this paper, Convolutional Neural Network is used to classify Adenocarcinoma, squamous cell carcinoma and normal case CT scan images from the Chest CT Scan Images Dataset using different combinations of hidden …

Application Of Sulfur-2,4-Dinitrophenylhydrazine As Modifier For Producing An Advantageous Concrete, Khayit Turaev, Dilnoza Shavkatova, Nodira Amanova, Mohanad Hatem Shadhar, Elyor Berdimurodov, Nessipkhan Bektenov, Ahmad Hosseini-Bandegharae

Baghdad Science Journal

In this investigative endeavor, a novel concrete variety incorporating sulfur-2,4-dinitrophenylhydrazine modification was developed, and its diverse attributes were explored. This innovative concrete was produced using sulfur-2,4-dinitrophenylhydrazine modification and an array of components. The newly created sulfur-2,4-dinitrophenylhydrazine modifier was synthesized. The surface texture resulting from this modifier was examined using SEM and EDS techniques. The component ratios within concrete, chemical and physical traits derived from the sulfur-2,4-dinitrophenylhydrazine modifier, chemical and corrosion resistance of concrete, concrete stability against water absorption, concrete resilience against freezing, physical and mechanical properties, durability, elastic modulus, and thermal expansion coefficient of the examined sulfur-infused concrete were assessed. …

Polymerization Of Acrylamide N-Methylene Lactic And Glycolic Acid, Sevara Khazratkulova, Nodira Zokirova, Busora Mukhamedova, Basant Lal, Orifjon Khamidov, Elyor Berdimurodov, Guloy Alieva, Ahmad Hosseini-Bandegharaei, Nizomiddin Aliev

Baghdad Science Journal

In this research work, the novel polymer base on acrylamide N-methylene lactic and glycolic acid was synthesized and its structural performances were identified by the IR, 1H NMR and 13C NMR spectroscopic investigations. The influencing factors and kinetics of polymerization, viscosity performance were studied and quantum chemical calculations were used to identify the correlation between the structure and properties. It was determined that the polymerization rate of the examined monomers in an aqueous solution, in the presence of DAA, adheres to the standard rules for radical polymerization of acrylamide monomers in solution. An investigation into the pH solution's impact on …

An Improved Neurogenetic Model For Recognition Of 3d Kinetic Data Of Human Extracted From The Vicon Robot System, Ivan V. Stepanyan, Safa A. Hameed

Baghdad Science Journal

These days, it is crucial to discern between different types of human behavior, and artificial intelligence techniques play a big part in that. The characteristics of the feedforward artificial neural network (FANN) algorithm and the genetic algorithm have been combined to create an important working mechanism that aids in this field. The proposed system can be used for essential tasks in life, such as analysis, automation, control, recognition, and other tasks. Crossover and mutation are the two primary mechanisms used by the genetic algorithm in the proposed system to replace the back propagation process in ANN. While the feedforward artificial …

Investigating The Influence Of Precursor Concentration On The Photodegradation Of Methylene Blue Using Biosynthesized Zno From Pometia Pinnata Leaf Extracts, Ari Sulistyo Rini, Yolanda Rati, Seliana Putri, Rahmi Dewi

Baghdad Science Journal

The ZnO nanoparticles were synthesized at various precursor concentrations i.e. 0.05, 0.1, and 0.5 M by biosynthesis method based on Pometia pinnata Leaf Extracts. Initial nanoparticle concentration influenced the optical bandgap, shape, and structure of nanoparticles. The photodegradation process was carried out under UV illumination. The efficiency of MB degradation was determined by measuring the decrease in MB concentration and by analyzing the optical absorption at 663 nm recorded by UV-Vis spectroscopy. Results showed that the biosynthesized ZnO nanoparticles exhibited efficient photodegradation of MB, with a maximum degradation rate of 80% after 90 minutes of exposure to UV-C light. The …

A Novel Water Quality Index For Iraqi Surface Water, Zahraa Z. Aljanabi, Abdul-Hameed M. Jawad Al-Obaidy, Fikrat M. Hassan

Baghdad Science Journal

The study aims to build a water quality index that fits the Iraqi aquatic systems and reflects the environmental reality of Iraqi water. The developed Iraqi Water Quality Index (IQWQI) includes physical and chemical components. To build the IQWQI, Delphi method was used to communicate with local and global experts in water quality indices for their opinion regarding the best and most important parameter we can use in building the index and the established weight of each parameter. From the data obtained in this study, 70% were used for building the model and 30% for evaluating the model. Multiple scenarios …

A Literature Review On Thermogenesis As A Prospective Obesity Treatment, Kellyn Sheppard

Senior Honors Theses

The disease of obesity has quickly escalated from an epidemic to a worldwide pandemic in the last few decades, and viable treatment methods are being investigated with urgency. One such treatment method is increased induction of the thermogenesis pathway that is active in brown adipose tissue. This pathway is typically activated in mammals when they are exposed to cold temperatures for extended periods of time but can also be induced exogenously. Thermogenesis is a metabolically inefficient process that occurs in the mitochondria of a cell, meaning it uses substrate energy without generating ATP. The inefficiency of this process allows excess …

Nurses’ Lived Experiences Of Coping With The Long-Term Effects Of Compassion Fatigue From The Covid-19 Pandemic, Philip Joseph Nelan

Walden Dissertations and Doctoral Studies

No abstract provided.

Quaternary Ammonium Compounds (Qacs) In Wastewater Influent And Effluent Throughout The Covid-19 Pandemic, Anna K. Mahony, Patrick J. Mcnamara, William A. Arnold

Civil and Environmental Engineering Faculty Research and Publications

Quaternary ammonium compounds (QACs) are used in consumer and industrial products, including disinfectants. Due to the COVID-19 pandemic, disinfectant use has increased, purportedly increasing loads to wastewater treatment plants and the environment. To understand how the increased usage has affected QAC loadings to treatment plants and to determine how effectively plants remove QACs from liquid effluent that is discharged to surface and groundwaters, influent and effluent wastewater samples were collected from four treatment plants (treatment capacities < 5 MGD to > 100 MGD) for 21 months beginning in May 2020. Influent QAC concentrations were hundreds of μg/L and effluent QAC concentrations were < 1 μg/L, corresponding to an average removal of 98% from all four plants. The most prevalent QACs in influent were those used most commonly in disinfectants, specifically benzylalkyldimethylammonium compounds (BACs) and short-chain dialkyldimethylammonium compounds (DADMACs), and influent levels of these compounds were correlated with QAC sales. Prior to this study, ethylbenzylalkyldimethylammonium compounds (EtBACs) had not been studied, and they comprised 13 ± 6% of QACs in influent. While removal was high at all plants, low μg/L concentrations were still continuously discharged into the environment. For QACs with equivalent alkyl chain lengths, those with aromatic substituents (BACs and EtBACs) appear to be removed more effectively than those with only alkyl chains (DADMACs).

Thermal Rectifying Antenna Complex (Trac), Michael Wayne Fountain, Gabriel Lee Saffold

USF Patents

A method and device to collect and convert thermal energy from the surrounding environments to produce usable electric power. The device includes a rectenna that is preferably a narrow bandwidth rectenna. In an embodiment, the rectenna comprises a rectenna complex, which is, in sequence, a high gain antenna, optional matching circuits, an optional narrow bandpass filter, and one or more rectifying diodes. An embodiment may include multiple arrays of linked nanoscale rectenna complexes. When linked in arrays using preselected bandwidths in the infrared and near infrared spectral regions, the rectenna complex acts as a thermally responsive collector capable of extracting …

A Prototype Of Simple Implantable Optofluidic Device Enabled By 3d Printing Technology, Yu Chang

Theses

Superhydrophobic surface-based optofluidics have been introduced to biosensors and unconventional optics recently with unique advantages such as dynamic adjustable optical properties, low light loss, and high versatility. Most of these platforms were manufactured by Microelectromechanical systems (MEMS) manufacturing technology and usually need to be further packaged or sealed. Although the MEMS-based technology is prone to make an integrated device containing sensing and electronic components, the technology may constrain the design of the morphology of the featured structures. For example, it was hard to manufacture a three-dimensional, fully enclosed round channel with complex structures along the inner surface. The limitations could …

Predictive Modeling Of Asphalt Pavement Performance Using Artificial Neural Networks, Rami Khalifah

Civil Engineering Theses

This thesis highlights the significance of using the Resilient Modulus (Mr) and Soil-Water Characteristic Curve (SWCC) coefficients within the scope of pavement design. It aims to demonstrate the importance of pavement quality and safety by developing a prediction model for bleeding and rutting depth in asphalt pavements using data from the Long-Term Pavement Performance (LTPP) database and the National Catalog of Natural Subgrade Properties Database. Additionally, the thesis builds predictive models using Artificial Neural Networks (ANNs), which include a single hidden layer and multiple neurons. The developed Mr and SWCC models in this thesis utilized the basic soil index properties …

Programs Agenda 12-5-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Approved Programs 12-5-23, Angela Brock

Programs Committee (PC)

No abstract provided.

Chemistry And Biochemistry Report, Angela Brock

Program Review Committee

No abstract provided.

Exploring The Impact Of Signal Quality Enhancement On Heart Sound Classification Models, Davoud Shariat Panah, Andrew Hines, Susan Mckeever

Articles

Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease. Noise in heart sound recordings, however, can reduce the performance of such data-driven models. Various quality enhancement approaches have been adopted to alleviate the destructive impact of noise on model performance. One approach is universal noise reduction which applies denoising techniques to recordings, irrespective of their noise level. The second approach is targeted noise reduction, which applies denoising solely to recordings deemed to need it, based …

Pediatric Cancer And The Cost Of Hope, Timothy Andre' Campbell

Walden Dissertations and Doctoral Studies

No abstract provided.

Psychotherapists’ Connection With College Students Diagnosed With An Anxiety Disorder And Cannabis Use Disorder., Kervil Durand

Walden Dissertations and Doctoral Studies

No abstract provided.

Improving Emergency Department Patient Satisfaction And Grow A Hospital's Revenue, Dr. Shayma Pushpa Firoz

Walden Dissertations and Doctoral Studies

No abstract provided.

Empathy With/For Teammates In Engineering, Aristides P. Carrillo-Fernandez, Justin Hess

School of Engineering Education Open Educational Resources

Empathy with/for teammates in Engineering is a modified version of the Interpersonal Reactivity Index (IRI) instrument to measure perspective-taking and empathic concern in the context of engineering teams. This modification helps participants focus their answers on their empathic experiences with/for their teammates within their teams, allowing the researchers to explore individual empathic formation in Engineering Teams.

Feasibility Of Assessing Colorectal Cancer Treatment Response With Acoustic-Resoution Photoacoustic Oximetry, Xiyan Li, Yixiao Lin

Electrical and Systems Engineering Undergraduate Student Research

No abstract provided.

Inter-Sampling Safety Of Stochastic Systems With Control Barrier Functions, Jonathan Mckinley

Electrical and Systems Engineering Undergraduate Student Research

The purpose of this project is to explore the topic of Safe Control when dealing with systems that both have stochastic dynamics and utilize discrete time sample-and-hold control through the use of Control Barrier Functions.

2023 Nh Social Venture Innovation Challenge Judges, Sustainability Institute

Sustainability Institute Blog

No abstract provided.

A Qualitative Study Of Principals’ Perception As Implementers Of The Teacher Evaluation Model, Achievenj, And Federal Education Policies In An Urban Public School District In New Jersey, Petra Liz-Morell

Seton Hall University Dissertations and Theses (ETDs)

The study explores the implementation of teacher evaluation models and federal education policies, particularly AchieveNJ, in an urban public school district in New Jersey. It focuses on principals' experiences and perceptions, uncovering their challenges and thoughts on the policy's effectiveness in enhancing teacher performance and student learning outcomes. The research delves into the complexities and uncertainties principals face, examining how these align with their leadership practices and impact policy execution. It also investigates the contextual factors influencing AchieveNJ's execution and effectiveness, providing insights for future policy formulation and practical implementation.

A key aspect of the study is its use of …

Indoor/Outdoor Deep Learning Based Image Classification For Object Recognition Applications, Omar Abdullatif Jassim, Mohammed Jawad Abed, Zenah Hadi Saied

Baghdad Science Journal

With the rapid development of smart devices, people's lives have become easier, especially for visually disabled or special-needs people. The new achievements in the fields of machine learning and deep learning let people identify and recognise the surrounding environment. In this study, the efficiency and high performance of deep learning architecture are used to build an image classification system in both indoor and outdoor environments. The proposed methodology starts with collecting two datasets (indoor and outdoor) from different separate datasets. In the second step, the collected dataset is split into training, validation, and test sets. The pre-trained GoogleNet and MobileNet-V2 …

Recognizing Different Foot Deformities Using Fsr Sensors By Static Classification Of Neural Networks, Ayham Darwich, Ebrahim Ismaiel, Ayman Al-Kayal, Mujtaba Ali, Mohamed Masri, Hasan Mhd Nazha

Baghdad Science Journal

Sensing insole systems are a promising technology for various applications in healthcare and sports. They can provide valuable information about the foot pressure distribution and gait patterns of different individuals. However, designing and implementing such systems poses several challenges, such as sensor selection, calibration, data processing, and interpretation. This paper proposes a sensing insole system that uses force-sensitive resistors (FSRs) to measure the pressure exerted by the foot on different regions of the insole. This system classifies four types of foot deformities: normal, flat, over-pronation, and excessive supination. The classification stage uses the differential values of pressure points as input …