Biomedical Informatics Commons^™

Perceptions Of Hiv-Related Comorbidities And Usability Of A Virtual Environment For Cardiovascular Disease Prevention Education In Sexual Minority Men With Hiv: Formative Phases Of A Pilot Randomized Controlled Trial, S Raquel Ramos, Harmony Reynolds, Constance Johnson, Gail Melkus, Trace Kershaw, Julian F Thayer, Allison Vorderstrasse

Faculty, Staff and Student Publications

Background: Sexual minority men with HIV are at an increased risk of cardiovascular disease (CVD) and have been underrepresented in behavioral research and clinical trials.

Objective: This study aims to explore perceptions of HIV-related comorbidities and assess the interest in and usability of a virtual environment for CVD prevention education in Black and Latinx sexual minority men with HIV.

Methods: This is a 3-phase pilot behavioral randomized controlled trial. We report on formative phases 1 and 2 that informed virtual environment content and features using qualitative interviews, usability testing, and beta testing with a total of 25 individuals. In phase …

Sexannodb, A Knowledgebase Of Sex-Specific Regulations From Multi-Omics Data Of Human Cancers, Mengyuan Yang, Yuzhou Feng, Jiajia Liu, Hong Wang, Sijia Wu, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Background

Sexual differences across molecular levels profoundly impact cancer biology and outcomes. Patient gender significantly influences drug responses, with divergent reactions between men and women to the same drugs. Despite databases on sex differences in human tissues, understanding regulations of sex disparities in cancer is limited. These resources lack detailed mechanistic studies on sex-biased molecules.

Methods

In this study, we conducted a comprehensive examination of molecular distinctions and regulatory networks across 27 cancer types, delving into sex-biased effects. Our analyses encompassed sex-biased competitive endogenous RNA networks, regulatory networks involving sex-biased RNA binding protein-exon skipping events, sex-biased transcription factor-gene regulatory networks, …

Analysis Of Serum Exosome Metabolites Identifies Potential Biomarkers For Human Hepatocellular Carcinoma, Tingting Zhao, Yan Liang, Xiaolan Zhen, Hong Wang, Li Song, Didi Xing, Hui Li

Faculty, Staff and Student Publications

Currently, the clinical cure rate for primary liver cancer remains low. Effective screening and early diagnosis of hepatocellular carcinoma (HCC) remain clinical challenges. Exosomes are intimately associated with tumor development and their contents have the potential to serve as highly sensitive tumor-specific markers. A comprehensive untargeted metabolomics study was conducted using exosome samples extracted from the serum of 48 subjects (36 HCC patients and 12 healthy controls) via a commercial kit. An ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) strategy was used to identify the metabolic compounds. A total of 18 differential metabolites were identified using the non-targeted metabolomics approach of UPLC-QTOF-MS/MS. …

Hyperpolarized Magnetic Resonance Imaging, Nuclear Magnetic Resonance Metabolomics, And Artificial Intelligence To Interrogate The Metabolic Evolution Of Glioblastoma, Kang Lin Hsieh, Qing Chen, Travis C Salzillo, Jian Zhang, Xiaoqian Jiang, Pratip K Bhattacharya, Shyan Shams

Faculty, Staff and Student Publications

Glioblastoma (GBM) is a malignant Grade VI cancer type with a median survival duration of only 8-16 months. Earlier detection of GBM could enable more effective treatment. Hyperpolarized magnetic resonance spectroscopy (HPMRS) could detect GBM earlier than conventional anatomical MRI in glioblastoma murine models. We further investigated whether artificial intelligence (A.I.) could detect GBM earlier than HPMRS. We developed a deep learning model that combines multiple modalities of cancer data to predict tumor progression, assess treatment effects, and to reconstruct in vivo metabolomic information from ex vivo data. Our model can detect GBM progression two weeks earlier than conventional MRIs …

The Bioremediation Effect Of Microalgae On Wastewater: A Green Technology Approach, Mohamed Ahmed Reda Hamed Dr, Marwa Abdelfattah Abdallah Dr

Journal of Engineering Research

The present study lays an emphasis on the microalgae-based for simultaneous wastewater bioremediation using Chlorella vulgaris and Micrococcus luteus mixed algal cultures to remove its constituent pollutants, amazing green technology guarantees benefits with the decrease in the formation of dangerous solid sludge. Ten days of fully monitoring laboratory experimental program were performed in batch cultures to investigate the effect of various dominant mixing ratios for attaining wastewater concentrations and different governing temperature ranges on the performance of microalgae treatment. The results revealed that there is a significant impact of both wastewater concentrations and temperature treatment conditions on the capability of …

Indicators And Evidence Of Environmental Sustainability For Pedestrian In Public Parks (Towards An Approach For Formulating A Guideline Evaluation Model), Nashwa Youssif

Journal of Engineering Research

يتناول البحث أحد المجالات التي فرضت تواجدها في الأونة الأخيرة علي الساحة العلمية والبحثية التي تتعلق بالعلاقة التبادلية التأثير بين الإنسان والفراغ العمراني حيث يتنامي الإهتمام بالخصائص الإنسانيه و مدي توافقها مع هذا الفراغ العمراني.

وتعد مسارات المشاة من أهم الحيزات العمرانية التى تشكل النسيج العمراني وأحد أهم وسائل التواصل الإجتماعي والثقافي والوظيفي نظرآ لإرتباطها بالغالبية العظمي من أفراد المجتمع، ومساعدتها على جذب العديـد من الأنشطة داخل الحدائق العامة. مما يشير إلي ضرورة الإهتمام بتحسين بيئة حركة المشاه كمدخل للتواصل والإستدامة.

ومن هنا تتمثل مشكلة البحث في نقص الدراسات حول تقييم العلاقة بين معايير الاستدامة التصميمية والنظم البيئية لمسارات المشاة …

Enhancing Clinical Relevance Of Pretrained Language Models Through Integration Of External Knowledge: Case Study On Cardiovascular Diagnosis From Electronic Health Records, Qiuhao Lu, Andrew Wen, Thien Nguyen, Hongfang Liu

Faculty, Staff and Student Publications

Background: Despite their growing use in health care, pretrained language models (PLMs) often lack clinical relevance due to insufficient domain expertise and poor interpretability. A key strategy to overcome these challenges is integrating external knowledge into PLMs, enhancing their adaptability and clinical usefulness. Current biomedical knowledge graphs like UMLS (Unified Medical Language System), SNOMED CT (Systematized Medical Nomenclature for Medicine-Clinical Terminology), and HPO (Human Phenotype Ontology), while comprehensive, fail to effectively connect general biomedical knowledge with physician insights. There is an equally important need for a model that integrates diverse knowledge in a way that is both unified and compartmentalized. …

Patient-Centered Clinical Decision Support Challenges And Opportunities Identified From Workflow Execution Models, Dean F Sittig, Aziz Boxwala, Adam Wright, Courtney Zott, Nicole A Gauthreaux, James Swiger, Edwin A Lomotan, Prashila Dullabh

Faculty, Staff and Student Publications

OBJECTIVE: To use workflow execution models to highlight new considerations for patient-centered clinical decision support policies (PC CDS), processes, procedures, technology, and expertise required to support new workflows.

METHODS: To generate and refine models, we used (1) targeted literature reviews; (2) key informant interviews with 6 external PC CDS experts; (3) model refinement based on authors' experience; and (4) validation of the models by a 26-member steering committee.

RESULTS AND DISCUSSION: We identified 7 major issues that provide significant challenges and opportunities for healthcare systems, researchers, administrators, and health IT and app developers. Overcoming these challenges presents opportunities for new …

Automatic Uncovering Of Patient Primary Concerns In Portal Messages Using A Fusion Framework Of Pretrained Language Modelsautomatic Uncovering Of Patient Primary Concerns In Portal Messages Using A Fusion Framework Of Pretrained Language Models, Yang Ren, Yuqi Wu, Jungwei W Fan, Aditya Khurana, Sunyang Fu, Dezhi Wu, Hongfang Liu, Ming Huang

Faculty, Staff and Student Publications

OBJECTIVES: The surge in patient portal messages (PPMs) with increasing needs and workloads for efficient PPM triage in healthcare settings has spurred the exploration of AI-driven solutions to streamline the healthcare workflow processes, ensuring timely responses to patients to satisfy their healthcare needs. However, there has been less focus on isolating and understanding patient primary concerns in PPMs-a practice which holds the potential to yield more nuanced insights and enhances the quality of healthcare delivery and patient-centered care.

MATERIALS AND METHODS: We propose a fusion framework to leverage pretrained language models (LMs) with different language advantages via a Convolution Neural …

Artificial Intelligence In Fusion Protein Three-Dimensional Structure Prediction: Review And Perspective, Himansu Kumar, Pora Kim

Faculty, Staff and Student Publications

Recent advancements in artificial intelligence (AI) have accelerated the prediction of unknown protein structures. However, accurately predicting the three-dimensional (3D) structures of fusion proteins remains a difficult task because the current AI-based protein structure predictions are focused on the WT proteins rather than on the newly fused proteins in nature. Following the central dogma of biology, fusion proteins are translated from fusion transcripts, which are made by transcribing the fusion genes between two different loci through the chromosomal rearrangements in cancer. Accurately predicting the 3D structures of fusion proteins is important for understanding the functional roles and mechanisms of action …

Querymate: A Custom Llm Powered By Llamacpp, Pegah Khosravi

Open Educational Resources

No abstract provided.

Safer: Sub-Hypergraph Attention-Based Neural Network For Predicting Effective Responses To Dose Combinations, Yi-Ching Tang, Rongbin Li, Jing Tang, W Jim Zheng, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated notable success in predicting drug combination synergy, several key challenges persist: (1) Existing models often predict average synergy values across a restricted range of testing dosages, neglecting crucial dose amounts and the mechanisms of action of the drugs involved. (2) Many graph-based models rely on static protein-protein interactions, failing to adapt to dynamic and higher-order relationships. These limitations constrain the applicability of current methods.

RESULTS: We introduce …

The Significant Role Of Amino Acid Metabolic Reprogramming In Cancer, Xiaohong Liu, Bo Ren, Jie Ren, Minzhi Gu, Lei You, Yupei Zhao

Faculty, Staff and Student Publications

Amino acid metabolism plays a pivotal role in tumor microenvironment, influencing various aspects of cancer progression. The metabolic reprogramming of amino acids in tumor cells is intricately linked to protein synthesis, nucleotide synthesis, modulation of signaling pathways, regulation of tumor cell metabolism, maintenance of oxidative stress homeostasis, and epigenetic modifications. Furthermore, the dysregulation of amino acid metabolism also impacts tumor microenvironment and tumor immunity. Amino acids can act as signaling molecules that modulate immune cell function and immune tolerance within the tumor microenvironment, reshaping the anti-tumor immune response and promoting immune evasion by cancer cells. Moreover, amino acid metabolism can …

Real-World Effectiveness And Tolerability Of Interferon-Free Direct-Acting Antiviral For 15,849 Patients With Chronic Hepatitis C: A Multinational Cohort Study, Fanpu Ji, Sally Tran, Eiichi Ogawa, Chung-Feng Huang, Takanori Suzuki, Yu Jun Wong, Hidenori Toyoda, Dae Won Jun, Liu Li, Haruki Uojima, Akito Nozaki, Makoto Chuma, Cheng-Hao Tseng, Yao-Chun Hsu, Masatoshi Ishigami, Takashi Honda, Masanori Atsukawa, Hiroaki Haga, Masaru Enomoto, Huy Trinh, Carmen Monica Preda, Phillip Vutien, Charles Landis, Dong Hyun Lee, Tsunamasa Watanabe, Hirokazu Takahashi, Hiroshi Abe, Akira Asai, Yuichiro Eguchi, Jie Li, Xiaozhong Wang, Jia Li, Junping Liu, Jing Liang, Carla Pui-Mei Lam, Rui Huang, Qing Ye, Hongying Pan, Jiajie Zhang, Dachuan Cai, Qi Wang, Daniel Q Huang, Grace Wong, Vincent Wai-Sun Wong, Junyi Li, Son Do, Norihiro Furusyo, Makoto Nakamuta, Hideyuki Nomura, Eiji Kajiwara, Eileen L Yoon, Sang Bong Ahn, Koichi Azuma, Kazufumi Dohmen, Jihyun An, Do Seon Song, Hyun Chin Cho, Akira Kawano, Toshimasa Koyanagi, Aritsune Ooho, Takeaki Satoh, Kazuhiro Takahashi, Ming-Lun Yeh, Pei-Chien Tsai, Satoshi Yasuda, Yunyu Zhao, Yishan Liu, Tomomi Okubo, Norio Itokawa, Mi Jung Jun, Toru Ishikawa, Koichi Takaguchi, Tomonori Senoh, Mingyuan Zhang, Changqing Zhao, Raluca Ioana Alecu, Wei Xuan Tay, Pooja Devan, Joanne Kimiko Liu, Ritsuzo Kozuka, Elena Vargas-Accarino, Ai-Thien Do, Mayumi Maeda, Wan-Long Chuang, Jee-Fu Huang, Chia-Yen Dai, Ramsey Cheung, Maria Buti, Junqi Niu, Wen Xie, Hong Ren, Seng Gee Lim, Chao Wu, Man-Fung Yuen, Jia Shang, Qiang Zhu, Yoshiyuki Ueno, Yasuhito Tanaka, Jun Hayashi, Ming-Lung Yu, Mindie H Nguyen

Faculty, Staff and Student Publications

BACKGROUND AND AIMS: As practice patterns and hepatitis C virus (HCV) genotypes (GT) vary geographically, a global real-world study from both East and West covering all GTs can help inform practice policy toward the 2030 HCV elimination goal. This study aimed to assess the effectiveness and tolerability of DAA treatment in routine clinical practice in a multinational cohort for patients infected with all HCV GTs, focusing on GT3 and GT6.

METHODS: We analyzed the sustained virological response (SVR12) of 15,849 chronic hepatitis C patients from 39 Real-World Evidence from the Asia Liver Consortium for HCV clinical sites in Asia Pacific, …

Effect Of Esketamine On Hypotension In Women With Preoperative Anxiety Undergoing Elective Cesarean Section: A Randomized, Double-Blind, Controlled Trial, Yu Qi, Meiyan Zhou, Yaqi Dong, Wenting Zheng, Qinyu Jiang, Yanyu Li, Xinghe Wang, Jia Sun, Hai Zhou, Zhengquan Hu, Liwei Wang

Faculty, Staff and Student Publications

To investigate the effect of low-doses esketamine on spinal anesthesia-induced hypotension in women with preoperative anxiety undergoing elective cesarean section, the randomized controlled trial enrolled 120 women aged 18-35 years who preoperative State-Trait Anxiety Inventory State scores > 40, conducted from September 2022 to August 2023 in Xuzhou Central Hospital, China. Women in the esketamine group received a single intravenous injection of 0.2 mg/kg esketamine after sensory block level achieved. The incidence of hypotension in the esketamine group was significantly lower than the control group at T2 (10% [6 of 60]; P < 0.001), T3 (5.0% [3 of 60]; P = 0.007) and T4(5.0% [3 of 60]; P = 0.004). Despite being higher in the esketamine group, the overall rates of hypertension (11.7% [7 of 60]; P = 0.186), tachycardia (23.3% [14 of 60]; P = 0.246), and bradycardia (0.0% [0 of 60]; P = 0.079) were no significantly difference between the two groups. STAI-S scores was significantly lower in the esketamine group (mean [SD] 37.52[7.14]) than in the control group (mean [SD] 41.03[9.66], P = 0.39) in postoperative day 1. Spinal anesthesia combined with intravenous low-doses esketamine infusion can significantly reduce the incidence of hypotension in women with preoperative anxiety undergoing elective cesarean section.

Low Skeletal Muscle Mass Is Associated With Inferior Preoperative And Postoperative Shoulder Function In Elderly Rotator Cuff Tear Patients, Yang Yang, Binbin Zheng, Xiaofang Lin, Mengqin Zhang, Yongzhi Ye, Haixiao Chen, Xiaobo Zhou

Faculty, Staff and Student Publications

BACKGROUND: The age-related loss of skeletal muscle mass is an important characteristic of sarcopenia, an increasingly recognized condition with systemic implications. However, its association with shoulder function in elderly patients with rotator cuff tears (RCT) remains unknown. This study aimed to investigate the relationship between low skeletal muscle mass and shoulder function in elderly RCT patients.

METHODS: A retrospective analysis was conducted on RCT patients who underwent chest computed tomography (CT) scans for clinical evaluation. Preoperative CT scan images of the chest were used to calculate the cross-sectional area (CSA) of thoracic muscle at the T4 level. The medical records …

Prediction Of Mild Cognitive Impairment Status: Pilot Study Of Machine Learning Models Based On Longitudinal Data From Fitness Trackers, Qidi Xu, Yejin Kim, Karen Chung, Paul Schulz, Assaf Gottlieb

Faculty, Staff and Student Publications

BACKGROUND: Early signs of Alzheimer disease (AD) are difficult to detect, causing diagnoses to be significantly delayed to time points when brain damage has already occurred and current experimental treatments have little effect on slowing disease progression. Tracking cognitive decline at early stages is critical for patients to make lifestyle changes and consider new and experimental therapies. Frequently studied biomarkers are invasive and costly and are limited for predicting conversion from normal to mild cognitive impairment (MCI).

OBJECTIVE: This study aimed to use data collected from fitness trackers to predict MCI status.

METHODS: In this pilot study, fitness trackers were …

Deepface: Deep-Learning-Based Framework To Contextualize Orofacial-Cleft-Related Variants During Human Embryonic Craniofacial Development, Yulin Dai, Toshiyuki Itai, Guangsheng Pei, Fangfang Yan, Yan Chu, Xiaoqian Jiang, Seth M Weinberg, Nandita Mukhopadhyay, Mary L Marazita, Lukas M Simon, Peilin Jia, Zhongming Zhao

Faculty, Staff and Student Publications

Orofacial clefts (OFCs) are among the most common human congenital birth defects. Previous multiethnic studies have identified dozens of associated loci for both cleft lip with or without cleft palate (CL/P) and cleft palate alone (CP). Although several nearby genes have been highlighted, the "casual" variants are largely unknown. Here, we developed DeepFace, a convolutional neural network model, to assess the functional impact of variants by SNP activity difference (SAD) scores. The DeepFace model is trained with 204 epigenomic assays from crucial human embryonic craniofacial developmental stages of post-conception week (pcw) 4 to pcw 10. The Pearson correlation coefficient between …

Epigenome-Wide Association Study Of Lung Cancer Among Never Smokers In Two Prospective Cohorts In Shanghai, China, Mohammad L Rahman, Charles E Breeze, Xiao-Ou Shu, Jason Y Y Wong, Batel Blechter, Andres Cardenas, Xuting Wang, Bu-Tian Ji, Wei Hu, Qiuyin Cai, H Dean Hosgood, Gong Yang, Jianxin Shi, Jirong Long, Yu-Tang Gao, Douglas A Bell, Wei Zheng, Nathaniel Rothman, Qing Lan

Faculty, Staff and Student Publications

BACKGROUND: The aetiology of lung cancer among individuals who never smoked remains elusive, despite 15% of lung cancer cases in men and 53% in women worldwide being unrelated to smoking. Epigenetic alterations, particularly DNA methylation (DNAm) changes, have emerged as potential drivers. Yet, few prospective epigenome-wide association studies (EWAS), primarily focusing on peripheral blood DNAm with limited representation of never smokers, have been conducted.

METHODS: We conducted a nested case-control study of 80 never-smoking incident lung cancer cases and 83 never-smoking controls within the Shanghai Women's Health Study and Shanghai Men's Health Study. DNAm was measured in prediagnostic oral rinse …

Employing Interactive Architecture Techniques In Architectural Design Methodologies To Retrieve Ancient Egyptian Identity, Dina Elwy Aly Hamed Hussein Dr. Lobna Abd-Allah Abd-Elfattah Agha , Dr. Azza Sobhi Ragab Elsakka

Journal of Engineering Research

Architectural projects often rely on modern technologies like smart architecture and environmental treatments, neglecting the principles and philosophy that reflect civilization, ideas, culture, and traditions. This leads to short-lived buildings that depend on these technologies without any purpose of preserving them. Technicians must constantly renew technology to improve production and without benefits, as threats of superior artificial intelligence have been warned, that autonomous machines may perform tasks without programmers understanding how to reach this level. Instead of relying solely on environmental or smart technology, we should make technology serve the design idea rather than relying solely on it. Considering this, …

The Effect Of Lighting In Color In The Interior Space Of The Residential Unit, Abd Elbary Eldininy Abd Elbary Eldininy

Journal of Engineering Research

ABSTRACT: Humanity is spending more and more time indoors, both at work and at home - with studies showing that we now spend 87% of our lives indoors. Residential environ ments both positively affect the mood and well-being of its occupants, just as places with poor and uncomfortable lighting and colors can make life miserable. This is why we are interested in this issue. The importance of knowing the issues of lighting and colors in order to obtain a well thought-out interior design. The interior designer has the ability to control in the quality of lighting of various types, artificial …

Green Facade Strategy To Mitigate Heat Islands, Arch. Aya Gamal Abdel Hamid Muhammad Prof. Mai Wahba Madkour... Dr. Rania Elghamry Ashmawy Tolba Elakab

Journal of Engineering Research

In the beginning of the twentieth century and the occurrence of the economic crisis that accompanied by a climate crisis, that one of its indicators the rise in temperatures and the formation of hot zones, especially in crowded cities, including Cairo in particular, as it is considered one of the crowded cities in the world, and this noticeable rise in temperatures in Some areas where hot zones form are called heat islands. This results because of the nature of the urban environment, which has a high building density, little natural landscape, and human and industrial activities that has a negative …

Light Structure Building Technology Towards Sustainable Environmental Design, Sally El-Sayed Prof. Dr. Mai Wahba Madkour2, Prof. Dr. Marwa Ahmed Kamer El-Dawla3

Journal of Engineering Research

The building and construction industry is one of the most important sectors globally , as it plays a vital role in providing housing and infrastructure that meets the needs of various communities , However , this industry is considered one of the largest contributors of negative environmental impacts in terms of consuming huge amounts of natural resources in an unsustainable manner and a subsequent increase in energy consumption .Therefore, it was necessary to find solutions and explore for new and sustainable construction methods to alleviate these problems .This research paper will focus on the use of light buildings and their …

Available Building Technology As A Tool For Developing Construction And Structure Systems., J. Q. . Nader Ibrahim Ismael

Journal of Engineering Research

The research aims to study the impact of available building technology in each era in the development of the constructional thought and implementation techniques used and its impact on the development of different types of buildings, through the emergence of different types of buildings and the development of buildings types in terms of shape and height, through the development of building materials used Whether construction materials or finishing materials, as well as used construction techniques and equipment, and the impact of all on the development of construction thought and construction systems through different eras . The research also represents an …

Increasing Occupancy Rates In Coastal Tourism Development At The Regional Level In Support Of A Sustainable Quality Of Life In Egypt, عبدالرحمن محمد عبدالقادر موسي

Journal of Engineering Research

إن استغلال الفراغات التي تمثل أكثر من 80% من مساحة المنتجعات السياحية الساحلية في الأنشطة الرياضية والترفيهية والثقافية والاجتماعية وتوفير الخدمات المختلفة عن طريق دعم الخدمات الإلكترونية التي تساعد الزائرين في قضاء وقت أكبر بتلك القري السياحية، مع تعلم السباحة وركوب الدرجات والتجديف والتسلق وركوب الخيل دعما لجودة الحياة ، حيث التمتع بالهواء المتجدد القادم من البحر بعيدا عن التلوث والضوضاء، ولزيادة الاستفادة والدعم يتم توفير وحدات فندقة لغير الملاك لزيادة الزوار والاتفاق مع المدارس والجامعات لتنشيط تلك الرحلات للشواطئ وممارسة الأنشطة المميزة لهؤلاء الشباب والاستفادة من الخدمات الجيدة والفراغات الصحية والهواء المتجدد وتعلم الرياضات الشاطئية المفيدة وذلك الاتجاه من …

Green Architecture Strategies To Achieve Sustainability In Buildings, Azza Sobhi Ragab Elsakka J. Q. Assos., Menna Ashraf Saeid Ali

Journal of Engineering Research

في الوقت الحالي توجد حاجة مُلحة لتطبيق معايير الاستدامة التي تعني المحافظة على الموارد الحالية و استخدامها بحيث لا تقل استفادة الأجيال القادمة من تلك الموارد ، و للاستدامة عدة جوانب لتطبيقها أحد تلك التطبيقات هي العمارة الخضراء ، العمارة الخضراء مرت بعدة مراحل بدءاً من القرن السابع عشر ( منذ العصر العثماني الاسلامي ) من خلال وجود بعض الأساليب الغير مباشرة في التصميم التي توفر التهوية و الإضاءة الطبيعية و حتى عصرنا هذا، حيث وُجد تقييم لأداء المبنى الأخضر من حيث أسلوب التصميم و الإنشاء بحيث لا يؤثر على البيئة تأثير سلبي و ما زال التطوير مستمر في إنشاء …

Enhancing Daylight Using Sustainable Natural Lighting Techniques In Modern Architecture, سارة حسني شعلان أ.م.د/ لبني عبد الفتاح أغا

Journal of Engineering Research

Natural lighting is one of the basic criteria for the architectural design process. It is one of the most important data that contributes to the design of architectural spaces and the manifestation of aesthetic values. In light of the global technological development and the scientific and information revolution, the role of the architect comes in highlighting the importance of natural lighting and its positive role in human biology, and reducing effort and psychological pressure in the event of Its use is an alternative to artificial lighting, as it increases human efficiency and achievement at work, in addition to giving a …

The Impact Of Green Infrastructure On Urban Heat Island Phenomenon In Existing Cities, Neveen Youssef Azmy Basant Elsayed Abu-Farrag, Walaa Abou El-Haggag Mehanna

Journal of Engineering Research

Rapid urbanization and overpopulation, along with a lack of green space, led to an increase in air temperature, lowering the rate of thermal comfort in dense urban areas, decreasing air quality, and increasing the urban heat island (UHI) phenomenon, particularly in existing cities. As a result, the research aims to reduce the UHI effect and improve the thermal performance of existing Egyptian cities by adopting green infrastructure (GI) principles and demonstrating their effectiveness on the UHI phenomenon. This research concentrates on the UHI phenomenon as one of the environmental issues facing urbanization and includes a review of green infrastructure (GI) …

Optimizing Fenestration Systems In Residential Buildings: A Parametric Analysis Of Egyptian Energy Codes' Impact On Thermal Comfort, Wafik El-Menshawi Ali F. Bakr , Amira A.Fathi

Journal of Engineering Research

- Fenestration systems, such as windows, doors, and skylights, play a crucial role in improving thermal comfort and reducing energy consumption in buildings. In Egypt, the energy code establishes standards for fenestration systems to promote energy efficiency and carbon emission reduction. Residential buildings account for a significant portion of total energy consumption, making the optimization of fenestration systems essential. This research focuses on studying the optimization of fenestration systems in Egyptian residential buildings through parametric analysis, considering energy standards and their impact on total energy gain and thermal comfort. The paper examines existing energy codes for fenestration systems and explores …

Towards Green Cities As An Approach To Achieve Climate Change Adaptation, Noha H. Hefnawy Nouran M. Ibrahim

Journal of Engineering Research

Climate change is a complicated problem and there is an urgent need for climate change adaptation. Cities are the primary drivers of social, economic, and technical progress. Green Cities are cities that show high environmental performance relative to adapting risks derived from climate change while maximizing the economic and social co-benefits. The Authors adopted a data collection strategy to review the issues, and difficulties caused by climate change and how green cities could assist in addressing them, then adopted a case study analysis to analyze the strategies used by Sharm El Sheikh in the transition to green city. The study …