Digital Commons Network^™

Understanding The Fidelity And Specificity Of Dna Polymerase I, Bill R. Miller Iii, Andrew V. Yeager, Jake A. Collins, Alexis Blake, Elise Tate, Carol A. Parish, Eugene Y. Wu

Chemistry Faculty Publications

High-fidelity DNA polymerases employ complex mechanisms to catalyze template-dependent DNA synthesis while quickly discarding mismatches. Atomic-level structural details about short-lived states during nucleotide discrimination are necessary to gain insight into the kinetic checkpoints that contribute to fidelity. We performed microsecond molecular dynamics simulations of DNA polymerase I, large fragment, from Bacillus stearothermophilus (Bacillus fragment, or BF) in complex with a template guanine and a mismatched thymidine triphosphate to observe the early events in the process of selection against a mismatch. Although the nucleobases formed a wobble base pair early, the mismatched pair was blocked from fully entering the active site …

Electrochemical Sensors Based On Graphene Oxide/Pedot:Pss Composite Decorated With Bimetallic Gold–Silver Nanoparticles For H2o2 Detection, Rayyan Azzahra Hidayat, Budi Riza Putra, Munawar Khalil, Wulan Tri Wahyuni

Makara Journal of Science

Hydrogen peroxide (H₂O₂) is a biomarker that indicates oxidative stress levels in the human body; thus, rapid and accurate detection methods are necessary to diagnose various disorders. This study developed a nonenzymatic electrochemical sensor for detecting H₂O₂ using bimetallic gold–silver nanoparticles (Au–Ag NPs) combined with graphene oxide and poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate)-modified glassy carbon electrode. The surface properties of the modified electrodes were characterized using scanning electron microscopy–energy dispersive spectroscopy and atomic force microscopy. The electrochemical performance of the modified electrodes was evaluated using cyclic voltammetry, electrochemical impedance spectroscopy, and differential pulse voltammetry. The bimetallic Au-Ag …

Development Of Shigella Flexneri Detection Method By Real-Time Polymerase Chain Reaction Targeting The Sfmd Gene, Muktiningsih Nurjayadi, Puan Aqila Azizah, Agus Setiawan, Ananda Indah Putri Sihombing, Anisa Fitriyanti, Grace Grace, Gusti Angieta Putri, Helzi Angelina, Royna Rahma Musie, Jefferson Lynford Declan, Gladys Indira Putri, Dandy Akbar Juliansyah, Siti Fatimah, Tiara Fahriza, Irma Ratna Kartika, Fera Kurniadewi, Novitasari Novitasari, Bassam Abomoelak, Hesham Ali El Enshasy, Shyi-Tien Chen

Makara Journal of Science

Shigella flexneri can cause shigellosis, which results in high fever, vomiting, diarrhea, or death. This study developed a detection method based on real-time polymerase chain reaction that targets the sfmD gene of S. flexneri given that the virulence factor encoded by this gene is thought to facilitate adhesion to a host surface. The proposed method involves primer design, DNA isolation, the optimization of primer annealing temperature, and confirmation, specificity, and sensitivity tests. A sfmD primer with an amplicon length of 155 bp was annealed to the target DNA at an optimized temperature of 60 ℃ (range 54 °C–62 °C). This …

3d-Dnn Ion-Eg Model Applications For Ionospheric Characterization Over Egypt: Mans Cors Case Study Of Vtec Variability And Nmf2/Hmf2 Mapping (2020-2024), Ismail Zaher, Zaki Zeidan, Mostafa Rabah, Mahmoud El-Mewafi

Mansoura Engineering Journal

This study introduces an operational evaluation of a deep learning–driven ionospheric modeling system tailored for Egypt, designed to overcome the limitations of conventional empirical approaches in data-sparse regions. The 3D-DNN Ion-EG model was trained on 737,110 COSMIC-2 radio occultation profiles (2020–2024), integrating spatial temporal coordinates with geophysical drivers to generate high-resolution threedimensional electron density distributions. Validation against the MANS CORS station (Mansoura University) demonstrated strong predictive skill (R2 = 0.9337; r = 0.970) under independent testing. Performance analysis across diverse geophysical regimes confirmed the model’s advantage in capturing storm-time and solar-driven disturbances, surpassing empirical models that perform best only under …

Optimizing Cultivated Land Productivity Through Integrated Fertilization Strategies And Uav-Assisted Management, Kejun Wang

Turkish Journal of Agriculture and Forestry

This study investigates the impact of long-term fertilization modes on crop health and productivity using unmanned aerial vehicle (UAV)-assisted monitoring and a Q-learning-based approach for optimized fertilization strategies. An approximate state-matching Q-learning algorithm was developed to improve the efficiency of agricultural UAVs in fertilization tasks. The spatiotemporal patterns of cultivated land productivity under different fertilization regimes were analyzed in a long-term experiment. An evaluation system for cultivated land health productivity was established. The results indicated that the Q-learning algorithm enabled UAVs to achieve efficient task completion. QLASM outperformed traditional methods on all metrics. QLASM achieved a 92% task completion rate …

Potency Dependent Angiogenic Effect Of Bellis Perennis On In Ovo Chick Chorioallantoic Membrane Assay, Jayanthdevan V, Winston Vargheese V, Anish Fathima K, Lohita S

Indian Journal of Research in Homoeopathy

Background: Hormesis is the biological response of an organism for a particular dosage of a substance. The lower dose stimulates and higher dose inhibits. J Compton Burnett, an eminent homeopath, prescribed Bellis perennis for breast and uterine tumours, which suggests it could be due to the antiangiogenic property or angiogenic inhibiting property and clinically also it is used for healing of fractured bone and wound healing which may be due to angiogenic promoting property. This experiment deals with the dose dependent effect of Bellis perennis on In Ovo Chick Chorioallantoic Membrane Assay. Objective: To evaluate the Hormesis effect of Bellis …

Black Bone Mri Morphometry For Mandibular Cortical Bone Measurement In Head And Neck Cancer Patients: Prospective Method Comparison With Ct, Lisanne V Van Dijk, Juan Ventura, Kareem A Wahid, Lin L Zhu, Brigid A Mcdonald, Sara Ahmed, Keith L Sanders, Sonja M Stieb, Lance Mccoy, Christina S Sharafi, Kathryn E Preston, Natalie A West, Sarah Mirbahaeddin, Dina M El-Habashy, Travis Salzillo, Samuel Mulder, Joly Fahim, Aubryane Dearmas, Mona Arbab, Yao Ding, Jihong Wang, Bastien Rigaud, Anando Sen, Mark Chambers, Katherine A Hutcheson, Kristy K Brock, Abdallah S R Mohamed, Stephen Y Lai, Clifton D Fuller

Faculty, Staff and Student Publications

Objectives: Determine the utility of low-flip angle "black bone" magnetic resonance imaging (MRI) for cortical mandibular bone assessment compared to computed tomography (CT).

Methods: Quantification of cortical mandibular bone width was performed per Hamada et al. at 15 cross-sectional interdentium locations on pretreatment black bone MRI and CT for 15 oropharyngeal cancer patients, with interobserver analyses on a subset of three patients by 11 observers. CT and MRI measurements were compared using Bland-Altman analysis, Lin's concordance, and Deming regression; interobserver variability was assessed with absolute variance and intraclass correlation coefficient (ICC).

Results: Bland Altman and Deming regression analyses showed CT …

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 …

Parameter Identification Of A Pi Controller For A Wind Energy Conversion System Based On Dfig, Mariam Hesham, Dina S. M. Osheba, Mahmoud M. Khater

Mansoura Engineering Journal

In this work, three methods are proposed to identify parameters of PI controllers used for wind energy conversion systems based on DFIG. Mathematical model of generator and grid side system is depicted. Three tuning methods; bode-plot, pole-placement, and MATLAB tuner are used for grid side and rotor side converter controllers’ design. Wind turbine system with PI controller parameters obtained using the mentioned method is investigated via MATLAB/SIMULINK under three different scenarios. The wind system is subjected to step wind speed change, random wind speed, and sever symmetrical voltage dip in the grid. The handled comparison illustrates that the pole-placement tuning …

Context Matching Is Not Reasoning When Performing Generalized Clinical Evaluation Of Generative Language Models, Andrew Wen, Qiuhao Lu, Yu-Neng Chuang, Guanchu Wang, Jiayi Yuan, Jiamu Zhang, Liwei Wang, Sunyang Fu, Kurt D Miller, Heling Jia, Steven D Bedrick, William R Hersh, Kirk E Roberts, Xia Hu, Hongfang Liu

Faculty, Staff and Student Publications

Current discussion surrounding the clinical capabilities of generative language models(GLMs) predominantly centers around multiple-choice question-answer(MCQA) benchmarks derived from clinical licensing examinations. While accepted for human examinees, characteristics unique to GLMs bring into question the validity of such benchmarks. Here, we validate five benchmarks using eight GLMs, ablating for parameter size and reasoning capabilities, validating via prompt permutation three key assumptions that underpin the generalizability of MCQA-based assessments: that knowledge is applied, not memorized, that semantic consistency will lead to consistent answers, and that situations with no answers can be recognized. While large models are more resilient to our perturbations compared …

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 …

(R2150) Impact Of Specialist Predator Harvesting On The Stability Of A Three-Species Food Chain Model With A Generalist Predator, S. Ganga, S. Vijaya

Applications and Applied Mathematics: An International Journal (AAM)

In this study, the stability of a three-species food chain model comprising a prey, an intermediate specialist predator, and a top predator exhibiting generalist behavior is examined, with harvesting applied to the intermediate predator. The main objective is to investigate how variations in the harvesting rate influence system stability and the coexistence of all three species. The positivity, boundedness, and equilibrium points of the model are analyzed to ensure biological feasibility. The equilibrium point involving the prey and the top predator satisfies the criteria for both local and global asymptotic stability. The coexistence equilibrium point attains local asymptotic stability based …

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 …

The Loss Function Of Usda Forecasters: Evidence From Wasde Animal Product Price Forecasts, Chad Fiechter, Siddhartha S. Bora, Todd H. Kuethe

Department of Agricultural Economics Faculty Publications

The loss function is a mathematical representation of the costs experienced by a forecaster when observed outcomes differ from what was predicted. Prior studies suggest that USDA forecasts are not optimal based on an assumed mean-zero quadratic loss function. This study proposes an alternative view of forecast evaluation, which assumes all USDA forecasts are produced to minimize the forecasters’ costs, and searches for the dimensions of the loss function under which optimality holds. We illustrate the degree to which USDA loss functions vary across a series of WASDE price forecasts. A better understanding of USDA forecasters’ costs will benefit forecasters …

Enhanced Oviposition Preferences And Larval Performance Of Hermetia Illucens L. In Fruit Wastes Fermented By Effective Microorganisms, Resti Rahayu, Robby Jannatan, Muhamad Ronaldo, Risa Ukhti Muslima

Makara Journal of Science

Organic waste comprises a considerable portion of global waste, requiring effective management. The ability of the black soldier fly (Hermetia illucens, BSF) to convert organic waste into biomass has been well reported. However, bioconversion can be hindered by fiber-rich substrates, a challenge that can be addressed through substrate pretreatment. This study examined the oviposition preferences and larval performance of BSFs in several fruit wastes fermented by effective microorganisms (EMs), which were compared to non-fermented substrates. The oviposition attractants utilized pineapple peel and overripe soursop, with larval performance evaluated among different treatments, i.e., non-fermented pineapple peel (NFP), fermented pineapple …

Advancing Skin Cancer Diagnostics: A Comparative Analysis Of Convolutional Neural Network Models For Skin Lesion Classification, Jesse Osuji, Tania Malik

SURE Journal: Science Undergraduate Research Experience Journal

For many years, skin cancer diagnosis and cancer research have been major focal points in the healthcare sector. Accurate classification of different types of skin lesions, including cancerous ones, is essential for proper diagnostics. Many machine learning (ML) techniques and models are used to solve various problems across various domains. One of such techniques is called neural networks. Convolutional Neural Networks (CNNs) are primarily used in computer vision-based problems, allowing computer systems to process and understand images. CNNs offer a potential tool for diagnosing skin lesions from images, occasionally demonstrating superior accuracy compared to trained dermatologists. This project explores various …

Developing A Tool To Measure Resistance To Sustainable Food Choices: A Pilot Study In Ireland And The Netherlands, Kate Flanagan, Bart Sinteur, Patricia J. Bulsing, John M. Kearney

SURE Journal: Science Undergraduate Research Experience Journal

Consumer uptake of a sustainable diet is critical for addressing environmental challenges and promoting public health. Understanding why consumers resist adopting sustainable eating habits can inform targeted interventions and policies. This pilot study examines whether a newly developed scale can effectively detect consumer resistance to a sustainable diet. Currently, there is a lack of research on a tool to measure consumer resistance to a sustainable diet, highlighting the need for a reliable instrument.

The aim of this study is to develop a scale, based on existing literature, to measure consumer resistance to a sustainable diet. Additionally, the study aims to …

Editorial-Sure Journal Volume 7, Issue 2, Geraldine M. Dowling, Eva Campion, Sinead Loughran, Ariane Perez-Gavilan, Josephine Treacy

SURE Journal: Science Undergraduate Research Experience Journal

No abstract provided.

Energetics And Kinetics Of Alkali Ion Exchange In Analcime, Jinyi Liu, An T. Ta, R. Seaton Ullberg, Jean Wilfried Hounfodji, Michael Badawi, Hans Conrad Zur Loye, Simon R. Phillpot

Faculty Publications

We employ density functional theory calculations to investigate the energetics and diffusion mechanisms of alkali metal ions (Na⁺, K⁺, Rb⁺, and Cs⁺) within the analcime framework. While Na⁺preferentially adsorbs at the center of the 8-member ring, DFT calculations show that larger ions, such as Cs⁺, occupy the center of the cage due to steric constraints. The computed exchange energies indicate that exchange of Na⁺by Cs⁺is thermodynamically favorable. Migration energy barriers, determined using the climbing image nudged elastic band method, show that Na⁺is …

Chaos Engineering In Multi-Gigahertz Solid-State Lasers: A Novel Approach To Optoelectronic Control, Mikhail V. Gorbunkov, Yulia Ya. Maslova, Yulia A. Sinichkina

Karbala International Journal of Modern Science

This paper presents a comprehensive study of a multi-gigahertz chaotic generator of light pulses based on solid-state laser sources, including fiber lasers, governed by carefully designed positive and negative feedback loops. It harnesses the inherent nonlinear dynamics within a solid-state laser controlled by a combination of two inertial feedback loops, enabling the realization of complex chaotic behavior, including the logistic map scenario, under moderate amplification conditions. The laser system dynamics are rigorously investigated through theoretical modeling, employing a nonlinear map approach, and high-resolution picosecond simulations. The results of our numerical simulations highlight the efficacy of fast electro-optical feedback system with …

Unveiling The Anticancer Potential Of Syzygium Cumini: In Silico Insights Into Its Mechanistic Action Against Non-Small Cell Lung Cancer, Nur Sofiatul Aini, Win Darmanto

Karbala International Journal of Modern Science

Non-small cell lung carcinoma (NSCLC) is the most periodic type of lung cancer and the second most diagnosed cancer globally. Syzygium cumini is plant that extensively used in cuisine and traditional medicine. However, its potential for NSCLC treatment has not yet been elucidated. This study determined the potential of S. cumini as anti-NSCLC using in silico approaches. The in silico study was applied to perform active compound analysis, selection of target candidates, network pharmacology, functional annotation, molecular docking, and molecular dynamics simulation, respectively. Based on open source databases, S. cumini contained 115 compounds and 14 of them predicted to have …

Macroinvertebrate Community Dynamics In A Recovering, Hypersaline Estuary, Catherine M. Eckert, Claudia A. Tamez, Erin E. Easton, David Hicks

School of Earth, Environmental, & Marine Sciences Faculty Publications

The Bahia Grande is a 6,500—acre tidal basin located at the southernmost tip of Texas. Tidal flow into this coastal estuary was cut off in the 1930s, causing the basin to dry up for ~70 y. A pilot channel connecting the Bahia Grande to tidal waters was constructed in 2005, allowing flooding of the basin to occur. Throughout the period reported herein (2005–2019), the system remained characterized by persistent spatial and temporal episodes of extreme hypersalinity (>70)—a critical factor influencing estuarine community composition and driving key ecological processes. With additional rehabilitation actions forthcoming, characterization of the estuary is essential …

Comparisons Of Fish Communities Between A Restored And A Control Pool Of The Mississippi River: A Before-And-After Examination, Hannah Lenning

Biology Theses, Dissertations, and Student Creative Activity

The quality and availability of valuable backwater habitats have declined in many rivers, including the Upper Mississippi River (UMR), due to river modifications and land use change. Habitat Rehabilitation and Enhancement Projects (HREPs) are implemented by the Upper Mississippi River Restoration Program and often aim to mitigate accelerated sedimentation and degradation of backwater habitats. One HREP in Pool 12 of the UMR targeted overwintering fish habitat by restoring four backwaters within 14 RKM. Fish community data was collected before (2006-2012) and after (2020-2024) restoration in Pool 12 and a downstream, control reach, Pool 13. The first objective of my study …

Self-Assembling Rna Nanostructures Are Highly Sensitive To Environmental Conditions, Jordan Aposhian, Surya Pratap S. Deopa, Scott Horowitz, Joseph D. Yesselman

Chemistry and Biochemistry: Faculty Scholarship

Recent developments in RNA nanotechnology have led to an increase in the design of specific, higher-order RNA structures, which will ultimately be used in drug delivery and immunomodulation applications. As researchers create RNA nanostructures with the intention of making them a standard tool in molecular biologists' toolkits, further investigation is required into the robustness of RNA designs. Primarily, in what different molecular contexts are the designed and intended nanostructures stable? In this work, we show that RNA nanostructure self-assembly is highly sensitive to environmental conditions by using second-order right-angle light scattering. While a test RNA hexagonal grid nanostructure forms correctly …

Integrating Traditional Ecological Knowledge And Environmental Science For Sustainable Lake Conservation: Danu Kerthi In Bali, Ni Kadek Surpi, Si Luh Nyoman Seriadi, Ni Wayan Jemiwi Jero

Journal of Environmental Science and Sustainable Development

This study investigates how the Danu Kerthi philosophy operates as a framework that integrates Traditional Ecological Knowledge (TEK) with environmental science to support sustainable lake conservation in three upstream lakes in Bali: Beratan, Buyan, and Tamblingan. While previous scholarship has largely focused on the normative and symbolic dimensions of Sad Kerthi, empirical evidence on its ecological effectiveness remains limited. To address this gap, the study adopts a multi-site qualitative design involving participatory observation, document analysis, and semi-structured interviews with 30 participants representing traditional leaders, Hindu priests, tourism managers, village officials, and local residents. Thematic analysis shows that Danu Kerthi continues …

Spilling The Tea: Effects Of Uv Disinfection On Bioactive Compounds In South African Rooibos Tea, Sora Ghanem, Leah Ankiah, Yusra Ahmed

Student Scholar Symposium

This study investigated the effects of ultraviolet (UV) light disinfection on key bioactive flavonoid compounds in rooibos tea (Aspalathus linearis). There is an interest in non-thermal food preservation technologies, and UV treatment offers potential advantages for beverage processing. However, concerns exist regarding possible degradation of health-promoting compounds during treatment. Rooibos tea samples were subjected to five UV exposure intensities (0, 25, 50, 75, and 100 mJ/cm²), and concentrations of four major flavonoids (aspalathin, orientin, vitexin, and rutin) were measured using high performance liquid chromatography (HPLC). Surprisingly, most flavonoids showed stability or slight concentration increases at higher UV doses. Aspalathin concentrations …

A Comprehensive Review Of Dental Diseases Detection And Classification Based On Artificial Intelligence Techniques, Nermeen N. Noaman, Yasmin M. Alsakar, Naira E. Elazab, Waleed M. Mohamed, Mohamed E. Ezzat, Mohammed M. Elmogy

Mansoura Engineering Journal

In dentistry, many diseases, such as gum, cavities, and oral cancer, affect people of all ages. Early treatment and diagnosis are crucial for minimizing dental diseases' effect on overall health and saving money in the long run. Traditional dental diagnosis methods, such as manual probing and visual inspection, are time-consuming and can be subject to human errors. Hence, a computer-aided diagnosis system based on computer vision and artificial intelligence (AI) techniques is needed. The considerable progress in computer vision and AI techniques offers many possibilities in dental diagnosis based on dental X-ray imaging modalities. Dental X-rays are used to diagnose …

Evaluating Traffic Safety And Geometric Characteristics Using Machine Learning Ensemble Techniques: A Case Study Of Egyptian Rural Multi-Lane Divided Roads, Sania R. Elagamy, Ahmed N. Awaad, Usama E. Shahdah, Sherif M. El-Badawy, Marwa E. Elbany, Eman K. Ali

Mansoura Engineering Journal

Crash prediction models are essential for evaluating traffic safety by analyzing crash occurrence, frequency, or severity. Recently, machine learning techniques have gained prominence in statistical regression modeling and data analysis. This study assesses the effectiveness of machine learning in predicting crashes on Egyptian rural multi-lane divided roads using limited regional data. Supervised machine learning ensemble techniques were applied to predict crash-prone segments (classification) and estimate the total number of crashes per segment (regression). A comparative analysis aims to identify the most suitable method. The Synthetic Minority Oversampling Technique (SMOTE) addressed data imbalance, while K-means Clustering (KC) enhanced regression model accuracy, …

Hybrid Machine And Deep Learning Framework For Secure Fog-Based Vanets, Hadeer Kamal, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

As a conventional implementation of intelligent transportation systems (ITS), a Vehicular Ad-hoc Network (VANET) facilitates smart communication between vehicle nodes and network infrastructures. Nevertheless, the distributed and dynamic characteristics of VANETs make them vulnerable to numerous cyberattacks like DOS and spoofing. Rapid detection of these threats is crucial. It is essential to respond promptly to mitigate threats before they impact vehicle coordination or infrastructure functionality. In this context, fog computing presents an effective solution. Transferring computational tasks from centralized cloud servers to fog nodes allows for quicker detection within the VANET environment. This research utilizes computational resources for swift and …

Integration Of Algae In Buildings: Challenges And Opportunities, Marwa Said Saad, Mostafa Refaat, Ashraf Nessim

Mansoura Engineering Journal

Buildings produce 40% of energy-associated CO2 emissions and 35% of worldwide energy use which makes it one of the main factors of global warming. The use of bioactive materials on building façades is a creative way to address the aforementioned problems. The biotechnical potential of microalgae architecture to achieve net-zero energy architecture while simultaneously advancing ecological sustainability and occupant well-being has drawn attention. This paper aims to analyzing and investigating techniques of integration of algae in architecture showing the challenges and opportunities of this implementation. Analytical and Comparative analytical method were used in this paper, Initially, a thorough literature review …