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Entropic Forces Near Fluctuating Surfaces, Rubayet Hassan

Dissertations

Nanoscale structures are inherently dynamic due to persistent thermal fluctuations. Even in solid materials, these random deformations, driven by ambient thermal energy, can become significant when their characteristic scale approaches that of the structure itself and strongly influence their overall mechanical behavior. Examples of such structures include crystalline membranes, appearing in diverse forms such as nanotubes, nanoribbons, and kirigami/origami structures. Similarly, biological nanostructures, including lipid membranes, microtubules, actin filaments, and DNA, exhibit extreme flexibility and responsiveness due to their low bending rigidity. Numerous physiological processes are intrinsically linked to these thermal fluctuations, including exocytosis and endocytosis, membrane fusion, pore formation, …

Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot

Al-Esraa University College Journal for Engineering Sciences

This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R² > 0.997). The surrogate …

The Impact Of Ethyl Levulinate Additive On Diesel Engine Performance And Emissions: An Experimental Study, Maha Ali Ghadbaan

Al-Esraa University College Journal for Engineering Sciences

This study explores the environmental and operational impact of adding Ethyl Levulinate—a biodegradable ester derived from biomass—to diesel fuel. A fuel blend known as B5El6 (comprising 5% biodiesel and 6% Ethyl Levulinate) was prepared and tested experimentally using a single-cylinder diesel engine operating at a constant speed of 1500 rpm under full load conditions. Performance metrics and emission data were recorded, and a Life Cycle Assessment (LCA) was conducted using the IMPACT2002+ methodology.

The results revealed that B5El6 significantly reduced greenhouse gas emissions (100 kg CO2 eq) and improved ecosystem quality. However, it presented challenges in terms of human health …

Health Risk Assessment (Hra) In Home-Based Ironing Businesses: Risk Identification, Intervention, And Evaluation In Johar Baru District, Central Jakarta, Heru Alfares, Irawadi Darmaputra, Marsen Isbayuputra, Muhammad Ilyas

Occupational and Environmental Medicine Journal of Indonesia

Background Home-based ironing businesses in Johar Baru District, Central Jakarta, are part of the informal sector, vulnerable to health risks due to suboptimal working conditions. This study aims to identify, assess, and control health risks through a Health Risk Assessment (HRA) approach.

Methods Research methods include direct observation, interviews, environmental measurements, health screenings, and ergonomic surveys using the BRIEF (Baseline Risk Identification of Ergonomic Factor) instrument.

Results The results indicate that the temperature in the ironing area reaches 33°C, exceeding the comfort standard, and that 80% of workers have dark yellow urine, indicating a high risk of dehydration. Risk assessment …

A Novel Rheological Technique To Measure The Yield Stress In Equibiaxial Elongation, Asher Segal

Theses

Yield stress measurement in non-Newtonian fluids, particularly under complex flow conditions such as equibiaxial elongation, remains a significant challenge in experimental rheology. This work presents the development of a novel method, Continuous Lubricated Squeezing Flow (CLSF), designed to quantify the normal yield stress of viscoelastic materials while minimizing boundary artifacts.

The CLSF method was implemented and validated using Carbopol 940, a model yield-stress gel, at concentrations of 1 wt% and 2 wt%. Comparative shear rheology was first performed to establish baseline yield stresses and verify sample integrity. CLSF experiments were then conducted over controlled flow rate increments and gap distances …

Bio-Papcz: Corn Starch-Based Composite Bioplastic Reinforced With Pineapple Leaf Fiber (Palf), Zinc Oxide (Zno), And Polyvinyl Alcohol (Pva), Marvin C. Caya, Shervin Austin C. Huang, Jovar Khalel J. Maghari, Ruel M. Levida

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Plastic pollution poses a serious global threat, as petroleum-based plastics persist for centuries, and their surging production of over 450 million tons overwhelms ecosystems (Ritchie et al., 2023). Using a quantitative experimental research design, the study examined the effects of varying concentrations of cornstarch-based bioplastic reinforced with pineapple leaf fiber (PALF), polyvinyl alcohol (PVA), and zinc oxide (ZnO) on the bioplastic’s tensile strength and soil degradability. Sample C2 (ZnO 3.0 %w/w; PVA 9.0 %w/w) demonstrated the optimal tensile properties with a tensile strength of 0.76 MPa and an elongation at break of 6.40%, which was attributed to the addition of …

Effects Of Foam Type And Thickness On Impact Resistance, Thermal Insulation, And Cost-Effectiveness Of Medical Containers For Drone Delivery, Josh Henry C. Soriano, Eriel V. Fonte, Lambertsus S. Novera, Nicolai Paolo B. Villarin, Joel B. Jalon, Jr.

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Accessible healthcare remains a challenge for rural communities lacking reliable infrastructure for medical supply delivery. Delivery drones have recently emerged as a viable alternative, dropping medical containers during flight. However, the effectiveness of different foam types and thicknesses combined with corrugated cardboard as shock-absorbing materials in a medical container for delivery drones has yet to be tested. Thus, this study designed cost-effective containers using corrugated cardboard and multiple foam types and thicknesses, aiming to preserve the integrity of the contents, withstand impact, and control temperatures. Four foam types—polystyrene, polyurethane, polyethylene, and expanded polystyrene (EPS) —were tested at 1 cm, 2 …

Utilization Of Biochar From Date Palm For Wastewater Treatment Technologies: Mini-Review, Atheel Alwash, Emad Yousif, Salam Mohammed

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

Recently, recycling agricultural waste has gained great importance in the field of the biochar industry, as it is a sustainable and inexpensive material that can be used to get rid of environmentally polluting materials. Dates are one of the major agricultural wastes in Iraq and the Gulf countries, which include fronds, seeds, and trunks. The challenge of obtaining a green and clean environment is represented by the safe disposal of these residues. These wastes are promising materials for producing biochar products as efficient adsorbents with improved characteristic properties. The present article revises the synthesis of biochar derived from date palm …

The Converging Frontiers: 3d Printing Of Polyvinyl Chloride (Pvc) For Environmental Remediation, Hazim F. Abbas, Salam Mohammed, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

The global demand for effective environmental cleanup drives the need for innovative materials and techniques. 3D printing, which can produce complex and customized structures, offers promising solutions. PVC, a common, affordable, and durable polymer resistant to chemicals, is increasingly used for environmental applications. This report reviews recent advances in 3D-printed PVC for water purification, air filtration, and waste management. PVC’s strong properties, combined with the flexibility of 3D printing, enable the development of tailored, efficient components such as membranes, adsorbents, and catalytic supports. Technology also encourages a circular economy by recycling PVC waste into new feedstocks and on-demand, eco-friendly infrastructure. …

Treatment Of Textile Industry Wastewater By The Adsorption–Coagulation Method, Adkhamjon Rustamovich Makhkamov, Elmurod Abdukodirovich Egamberdiev, Muhammadzohid Abidjanovich Safaev

Technical science and innovation

This scientific article provides a systematic analysis of the composition of colored wastewater generated in cotton, wool, and silk textile enterprises, the sources of pollution, and modern physicochemical treatment methods. Wastewater formed during bleaching, dyeing, and wet processing is characterized by high concentrations of dyes, surfactants, organic and inorganic compounds, as well as colloidal particles. The main objective of the study is to determine the possibilities for effective treatment of colored wastewater using adsorbents obtained from local industrial wastes and to develop optimal technological regimes. In the course of the research, highly dispersed fly ash obtained from the Angren Thermal …

Synthesis Of Schiff Base Based On Aminopolysaccharides A Chitosan Apis Mellifera With Salicylic And Glutaraldehydes, Alisher Mengliev

Technical science and innovation

Chitosan is a linear aminopolysaccharide. Using methods of chemical modification of chitosan, a number of new biologically active materials have been created. The main interest in these products is due to the preservation of the basic physicochemical and biological properties of the original polymer and the acquisition of new properties depending on the nature of the introduced groups. Modified chitosan can be used in various fields such as drug delivery, textiles, wastewater treatment and a number of biomedical applications. The purpose of this work is to extract chitosan from the remains of ApisMellifera bees and synthesize a Schiff base with …

Composition Of Essential Oil From Dried Basil (Ocimum Basilicum L.), Ajargul Abdiganievna Mambetsheripova, Shakhnoza Abduvaxitovna Sultanova, Jasur Esirgapovich Safarov

Technical science and innovation

Ushbu ishda maydalangan rayhon (Ocimum basilicum L.) o‘simliklaridan olingan efir moylarini (EM) ajratish va tahlil qilishga oid metodologik yondashuv bayon etilgan. Rayhon efir moyi klassik Klevenger apparati yordamida uch soat davomida gidrodistillyatsiya usulida ajratib olindi. Olingan distillyatlar n-geksan bilan ishlov berildi, so‘ngra qoldiq namlikni yo‘qotish maqsadida suvsiz natriy sulfat yordamida degidratatsiya qilindi. Ushbu sharoitda efir moyining chiqishi 0,74–0,81 % oralig‘ida bo‘ldi. Izolyatsiya qilingan moylar rang jihatdan och sariq, harakatchan suyuqliklar bo‘lib, rayhonga xos o‘ziga xos aromatik hidga ega ekanligi aniqlandi. Kimyoviy komponentlarni aniqlash uchun efir moyining sifat va miqdoriy tarkibi gaz xromatografiya-mass-spektrometriyasi (GXM-S) usulida o‘rganildi. Tahlillar Agilent 5975C inert MSD/7890A …

Towards Computational Methods In Medical Data Analysis: From Speech And Text To Imaging, Kristin Qi

Graduate Doctoral Dissertations

Early detection of cognitive decline and efficient medical image analysis remain critical challenges in healthcare. Traditional clinical assessments are infrequent and resource-intensive, while everyday speech data and unlabeled medical images remain largely unexploited. This dissertation develops computational methods integrating machine learning and artificial intelligence across speech, text, and imaging modalities to address challenges in medical data processing. For cognitive monitoring, this work first introduces methods using voice assistant systems to collect longitudinal speech data in home environments, demonstrating that incorporating historical session patterns significantly enhances detection of mild cognitive impairment. Building on this foundation, a framework combining large language model-driven …

Properties Of Shape Memory Alloys In Solving Design Problems, Aya Mahmoud Ad-El Gawad Gouda

Journal of Art, Design and Music

Shape Memory Alloys (SMAs) are a unique class of materials that possess the ability to return to a predefined shape when subjected to specific thermal or mechanical stimuli. This property, known as the "shape memory effect," arises from the transformation between two phases: the low-temperature martensite phase and the high-temperature austenite phase. SMAs have gained significant attention in various engineering fields, particularly in solving complex design problems that require materials with the ability to undergo reversible deformation. These alloys exhibit exceptional properties such as high strength, elasticity, and the ability to absorb significant amounts of energy, which make them ideal …

Umwelt, Sujetos Transindividuales E Intencionalidad Compartida: Cuerpo, Significación Y Socialidad En La Construcción Del Conocimiento, Juan C. González Vidal

Journal of Roleplaying Studies and STEAM

En este trabajo abordamos, desde el punto de vista semiótico, el vínculo indisoluble que existe entre el cuerpo humano, la significación y la socialidad. Partimos del postulado de que el cuerpo es, desde el nacimiento, una entidad sintiente; luego, una vez adquirida la capacidad de generar procesos semiósicos primarios, empieza a ordenar y a clasificar los estímulos exteriores, hecho en el que se asienta el fundamento de su orientación básica en el entorno. Conforme aumentan sus competencias semiósicas, se incrementan sus capacidades perceptivas y cognitivas que, al ser afirmadas, lo llevan a alcanzar finalmente los más altos grados de socialidad. …

Electrochemical Characterization And Modulation Of Biological Processes, Yue-Qi Li, Wei-Hua Huang, De-Chen Jiang, Bao-Hong Liu, Bin Su, Yang Tian, Jing-Juan Xu, Ping Yu, Feng Zhao, Huang-Xian Ju, Jing-Hong Li

Journal of Electrochemistry

Electrochemical processes lie at the core of biological function, governing energy transduction, metabolic flux, and molecular signaling. Recent advances in electrochemical science now allow these processes to be probed and controlled with unprecedented spatial, temporal, and chemical resolution. In this review, we present an integrated framework that progresses from fundamental mechanisms to analytical technologies and functional modulation. We begin by outlining electron transfer pathways in mitochondrial respiration, microbial extracellular electron transfer, and DNA- and protein-based charge conduction, followed by the principles of photon-electron conversion in photosynthesis and the central role of redox equilibrium in coordinating cellular responses. We then highlight …

Pressure Field Estimation From 2d-Piv Measurements: A Case Study Of Fish Suction-Feeding, Jensine C. Coggin, Duvall Dickerson-Evans, Erin E. Hackett, Roi Gurka

Physics and Engineering Science

Particle image velocimetry (PIV) flow measurements are common practice in laboratory settings in a wide variety of fields involving fluid dynamics, including biology, physics, engineering, and medicine. Dynamic fluid pressure is a notoriously difficult property to measure non-intrusively, yet its variation is a driving flow force and critical to model correctly. Techniques have been developed to estimate the pressure from velocity and velocity gradient measurements. Here, we highlight a novel application of boundary conditions when applying such pressure estimation techniques based on two-dimensional PIV data; the novel method is especially relevant to problems with complex boundary conditions. As such, it …

Comprehensive Mechatronic Design Methodology For 6-Dof Stationary Lower Limb Rehabilitation Exoskeleton Robot With Safety-Integrated Control Architecture, Javlonbek Rakhmatillaev Mr., Nodirbek Kimsanboyev Mr., Umidjon Takabaev Mr., Zafar Juraev3 Dr.

Chemical Technology, Control and Management

This paper presents the mechatronic design of a proposed six-degree-of-freedom (6-DOF) stationary lower limb rehabilitation exoskeleton (SLLRE) robot, developed through a comprehensive mechatronic design methodology that includes mechanical design, actuator and sensor selection, and the development of a control structure based on a safety-oriented control approach. The proposed 6-DOF SLLRE mechanical design introduces a comprehensive mechanical structure comprising bilateral hip, knee, and ankle joints, degrees of freedom, joint ranges of motion, human parameters for rehabilitation training, as well as the frames and structural elements of the proposed system. Furthermore, the selection of appropriate sensors, actuators, and control architecture for the …

Folding Architecture “Origami Art-Inspired” Applicability To Sustainable Architecture- Biomuseo As A Case Study, Vitta A. Ibrahim

Mansoura Engineering Journal

The growing need for sustainable architectural solutions in the contemporary era underscores the necessity for interactive architectural applications that can adapt to changing requirements. In architecture, folding systems refer to three-dimensional, foldable structural forms that create unique spatial configurations and possess a wide range of capabilities. Drawing inspiration from origami techniques, this study emphasizes the role of folding systems in generating innovative spatial designs. The research problem arises from the fact that the built environment is a significant contributor to greenhouse gas emissions and energy consumption, necessitating the implementation of smart solutions. The goal of this study is to identify …

A Method Of Heuristic Human-Llm Collaborative Source Search, Yi Chen, Sihang Qiu, Zhengqiu Zhu, Yatai Ji, Yong Zhao, Rusheng Ju

Journal of System Simulation

Abstract: Traditional source search algorithms are prone to local optimization, and source search methods combining crowdsourcing and human-AI collaboration suffer from low cost-efficiency due to human intervention. In this study, we proposed a lightweight human-AI collaboration framework that utilized multi-modal large language models (MLLMs) to achieve visual-language conversion, combined chain-of-thought (CoT) reasoning to optimize decision-making, and constructed a heuristic strategy that incorporated probability distribution filtering and a balance between exploitation and exploration. The effectiveness of the framework was verified by experiments. The human-AI alignment heuristic strategy with large language model adaptation design provides a new idea to reduce manual …

Lightweight Assembly Workpiece Detection Algorithm Based On Improved Yolov8, Shuheng Wu, Yongkui Liu, Lin Zhang, Yingying Xiao, Lihui Wang

Journal of System Simulation

Abstract: To address the issues of low recognition accuracy and slow detection speed with existing deep learning-based object detection algorithms for robotic automatic assembly tasks, a lightweight assembly workpiece object detection algorithm based on YOLOv8 was proposed. The PConv was introduced to improve the C2f module, and a new Faster_C2f module was designed to enhance the detection speed of the model. The SIoU loss function was employed to optimize the location prediction accuracy of the CIoU loss function and improve the localization accuracy of small targets. The high-level screening-feature fusion pyramid networks (HS-FPN) structure was used to improve the Neck …

Visualizing The Effect Of Process Pause On Virus Entrapment During Constant Flux Virus Filtration, Wenbo Xu, Xianghong Qian, Hironobu Shirataki, Daniel Straus, Sumith Ranil Wickramasinghe

Biomedical Engineering Faculty Publications and Presentations

Virus filtration is an essential unit operation used to validate clearance of adventitious virus during the manufacture of biopharmaceutical products such as monoclonal antibodies. Obtaining at least a 10,000-fold reduction in virus particles in the permeate is challenging as monoclonal antibodies are about half the size of the virus particles. Minute virus of mice, FDA-recommended model adventitious virus, was labeled with a fluorescent dye. Laser scanning confocal microscopy was used to determine the location of virus entrapment within the virus filtration membrane. Three different hollow fiber membranes made of regenerated cellulose and polyvinylidene fluoride were tested. Feed streams consisted of …

Mechanisms Behind Soil Water Evaporation And Infiltration During Long-Term Microbial Reclamation In Coal Mining-Induced Subsidence Areas In Northern Shaanxi Province, China, Ke Zengming, Bi Yinli, Yang Wei

Coal Geology & Exploration

Background Water scarcity is identified as an important factor restricting ecological restoration in arid and semi-arid mining areas. The application of microbial reclamation technologies, especially inoculation with Arbuscular mycorrhizal fungi (AMF), has achieved encouraging ecological effects in mining areas. In this case, investigating soil water movement and its controlling factors in mining areas undergoing long-term microbial reclamation is a key scientific issue for understanding the long-term ecological restoration mechanisms of AMF. Methods This study investigated the microbial reclamation base in the coal mining-induced subsidence area of the Daliuta coal mine of northern Shaanxi Province, located in the middle reaches of …

An Experimental Study On The Selection Of Slow-Release Carbon Source Materials For Sulfate-Reducing Bacteria-Based Remediation Of High-Sulfate Mine Water In Coal Mines, Xiahou Ming’An, Zhang Li, Xu Zhimin, Guo Juan, Chen Ge, Xiong Xiaofeng, Sun Yajun

Coal Geology & Exploration

Background High-sulfate mine water poses a major aquatic environmental challenge in coal mining areas across China. Accordingly, the cost-effective and efficient treatment of such water has become an urgent need for the sustainable development of the mining industry. Despite its considerable promise, microbial remediation based on sulfate-reducing bacteria (SRB) shows limited efficiency due to the scarcity of dissolved organic carbon (DOC) in mine water.Methods The application of external slow-release carbon source (SRC) materials for SRB faces a range of challenges, such as the potentially excessive release of organic carbon in the initial stage, the unclear release mechanisms of dissolved …

Water Quality Characteristics And Reutilization Of Goaf Water From Shallow Coal Seams Within The Datong Mining Area, Shanxi Province, China, Li Jun, Gui Herong, Ding Pengfei, Chen Yongqing, Wan Heyong, Li Weiqi, Huang Dawei, Peng Weihua, Hu Yang, Guo Yan

Coal Geology & Exploration

Objective The Datong mining area in Shanxi Province of China faces serious threats from goaf water hazards, while the goaf water drainage is constrained by environmental protection policies. Therefore, the reutilization of goaf water serves as an effective approach to eliminating mine water hazards, protecting water environments, and mitigating water scarcity in the mining area. Methods This study investigated goaf water from shallow coal seams in the Datong mining area. Based on water quality assessment theories and a range of hydrogeochemical indices, including saturation index (SI), chloro-alkaline index (CAI), and sodium adsorption ratio (SAR), this study conducted a joint determination …

Road Performance And Water-Softening Characteristics Of Stabilized Soil Under Cyclic Loading, Hu Hong, Li Zongheng, Feng Yong, Cao Zhigang, Liu Yaoxing

Journal of China & Foreign Highway

To effectively deal with waste soil and reduce environmental pollution,this paper took a road engineering project in Shaoxing as the research object and conducted a cyclic triaxial incremental loading test on the undisturbed lime soil under undrained conditions to study the effects of confining pressure,cyclic stress ratio,and water immersion on its performance.The results show that when the cyclic stress ratio increases from 1 to 4,the cumulative strain and resilient strain increase rapidly in the initial loading stage,showing a trend of “stepwise” increase.The cumulative strain produced at a cyclic stress ratio of 2 is about twice that at the cyclic stress …

Construction And Application Of Knowledge Graph For Quality Management In Bridge Pile Engineering, Fang Xiaofeng, Dong Runhao, Gu Yanke, Pan Yanran

Journal of China & Foreign Highway

To enhance the efficiency of quality management in bridge pile foundation construction,this study constructed a knowledge graph applicable to the construction field of bridge pile foundation engineering to enable systematic representation and intelligent organization of knowledge.A methodology combining top-down design and bottom-up design was adopted to develop a framework for constructing a knowledge graph for the quality management of bridge pile foundation construction that encompasses both the schema layer and the data layer.The schema layer was established through ontology modeling,clarifying the concept categories,hierarchical structure,and their attribute relationships.The data layer employed a bidirectional long short-term memory (BiLSTM ) network integrated with …

Green Ai-Enhanced Deep Learning Model For Breast Cancer Detection And Classification In Mammography Images: Bc-Net-512, Nesma Abd El-Mawla, Mohamed A. Berbar, Nawal A. El-Fishawy, Mohamed A. El-Rashidy

Mansoura Engineering Journal

This study champions a sustainable approach for developing a Deep Learning (DL) model for medical image analysis, specifically focusing on breast cancer (BC) detection in mammograms. By prioritizing low-computing algorithms to achieve high diagnostic accuracy while minimizing the model's environmental footprint, that aligns with the principles of Green AI. In this paper, an innovative architecture called BC-Net-512 was constructed for the classification of BC mammography. It is composed of lightweight Convolutional Neural Network (CNN) blocks for texture, density, and structure feature extraction and detection, a thin, fully connected layer for learning complex patterns and correlations in the extracted features, and …

Cache-Conscious Sparse Matrix Dense Matrix Multiplication On Gpus, Haoqiang Guo

LSU Doctoral Dissertations

Over the past decade, high-performance deep learning has evolved into a critical research domain, driven by the demand for efficient models and high inference throughput. Deep learning architectures have shifted from stacked convolutional layers to transformer-based models, while pruning techniques and graph-structured data have established sparse matrix–dense matrix multiplication (SpMM) as a fundamental kernel—particularly in graph neural networks (GNNs). Modern GPUs, with their massive parallelism and high-bandwidth memory, offer immense potential for accelerating these workloads. While SpMM implementations using the compressed sparse row (CSR) format remain common to avoid conversion overhead, preprocessing-based methods have recently demonstrated superior potential. In GNN …

Mapping Sustainability To Cybernetic-Generative Artificial Intelligence-Based Education: An Innovative Neutrosophic Orbifold-Lattice Methodology, Mona Mohamed, Ahmed A. Metwaly

Neutrosophic Systems with Applications

The lightning-fast development of artificial intelligence (AI), notably generative artificial intelligence (Gen AI) technologies, has intrigued multiple disciplines, particularly education. In this context, Large Language Models (LLMs) serve as beneficial cognitive resources that address knowledge deficits and provide tailored educational support for learners and staff. For learners, LLMs are regarded as knowledgeable educators who offer prompt, focused responses and rationales to tricky queries. Whereby LLMs for staff, Strength enhancer, automating tedious tasks, and creating intelligent resources.Gen AI’s rapid growth offers enormous obstacles for educational systems, compelling them to discover solutions for these obstacles.

Conceptually, cybernetics is leveraged for bridging the …