Digital Commons Network^™

Evaluating The Efficacy Of I-Fiber Pearl On Reducing Body Fat Accumulation In Obese Females: A Randomized, Double-Blind, And Placebo-Controlled Trial, Hung-Hsuan Kuo, Chia-Chun Chen, Ching-Chang Cho, Chun-Tse Tsai, Shiuan-Chih Chen, Chin-Lin Hsu

Journal of Food and Drug Analysis

Obesity is a growing public health challenge worldwide, strongly linked to metabolic syndrome, type 2 diabetes, and cardiovascular disease. Inulin, a soluble, fermentable fiber derived mainly from Jerusalem artichoke and chicory, has been reported to improve weight management and metabolic health. This randomized, double-blind, placebo-controlled trial evaluated the effects of inulin-enriched tapioca pearls (I-fiber pearl) on body composition and lipid parameters in obese women. Methods: Fifty women (BMI ≥ 27 or waist > 80 cm; age 20–50 years) were randomized to receive either I-fiber pearl or placebo (2 packs/day, 100 g/pack) for 12 weeks. Anthropometric indices, body composition, and blood biochemistry …

Spatial Distribution: Effect Of Oxygen Availability On Gut Microbiota Adhesion And Colonization, Ruixue Ding, Xiaotong Sun, Yinan Wang, Binbin Tu, Yue Liang, Qi Lin, Fuqiang Zhao

Journal of Food and Drug Analysis

The gut microbiota plays a crucial role in host digestion and immune regulation; however, most existing research relies on fecal sampling, leaving uncertainty regarding whether fecal microbiota can accurately reflect the symbiotic microbial components at distinct gut sites. To address this gap, this study employed 16S rRNA gene sequencing to systematically analyze the microbial composition of three spatial compartments in the rat colon: luminal contents, mucus layer, and epithelial tissue. The results revealed notable differences in microbial communities across the three compartments. The luminal contents, which were closely associated with the fecal microbiota, exhibited high microbial abundance, encompassing gram-positive bacteria, …

Novel Oral Delivery System Using Modified Inulin For Enhanced Liver Cancer Therapy, Sung-Ling Tang, Yu-Ju Lai, Wei-Cheng Lin, Meng-Yi Bai, Yu-Chi Wang

Journal of Food and Drug Analysis

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide. Although advanced oral anticancer drugs, such as sorafenib and lenvatinib, are available for treating HCC, their effectiveness is limited by significant side effects and the requirement for optimal liver function, restricting their broader use. Furthermore, these drugs cannot be used in combination, leading to suboptimal treatment outcomes. This study introduces a novel therapeutic approach by repurposing two existing drugs, niclosamide and disulfiram, as a combination therapy to treat HCC. Despite their known anticancer properties, these drugs face challenges such as high lipophilicity and a significant first-pass effect, resulting in …

Effect Of Cosmetic Whitening Ingredients’ Lipophilicity On Melanocyte Cytotoxicity: A Systematic Review, Lord Sam B. Liston, Zach Uriel Cabije, Enrico John Belleza, Catherine Ortega, Mark Niño Melgo, Vanbeth Camson, Sabrina Dahlizar, Pajaree Sakdiset, Gea Abigail Ecoy, Gerard Lee See, Florencio Jr. Arce

Journal of Food and Drug Analysis

Tyrosinase is an enzyme involved in the early stages of melanin synthesis. Melanin, which gives skin its pigment, is the most targeted molecule in the development of skin-whitening cosmetic products. Consequential risks of chemically induced skin diseases are associated with the usage of skin-whitening products that contain tyrosinase-inhibiting compounds. Currently, products containing tyrosinase inhibitors on the market lack collective analysis of their toxicity on melanocytes. Moreover, national regulatory agencies (e.g., FDA) place the burden of ensuring the safety of whitening products on manufacturers, risking bias and selective reporting. In fact, the ASEAN Cosmetic Directive does not include more than half …

The Protective Potential Of Intestinal Bifidobacterium-Derived Extracellular Vesicles With Unique Lipid Composition Against Blue Light-Induced Damage In Retinal Cells, Wei-Hsuan Hsu, Pin-Hsuan Su, Hao-Yuan Chien, Tzu-Ming Pan, Bao-Hong Lee

Journal of Food and Drug Analysis

Bifidobacterium longum is a probiotic that resides in the intestine, and extracellular vesicles (EVs) released by microorganisms have garnered attention in recent years for their role in regulating host health. This study found that triacylglycerol, cholesteryl esters, and free fatty acid (18:0 and 16:0) are primarily composed of lipids in B. longum-derived EVs by lipidomics assay. Such lipid composition facilitates the entry of EVs into ARPE-19 cells and protects the cells from oxidative death induced by blue light exposure. Transcriptomic analysis revealed that treatment with B. longum-derived EVs can regulate phosphoinositide 3-kinase and mTOR, thereby enhancing the survival …

Systematic Verification Of Saliva-Based Biosignatures For Oral Cancer Via Targeted Metabolomics, Ya-Ju Hsieh, Yu Chang, Chi Yang, Nai Hsuan Teng, Jau-Song Yu, Kai-Ping Chang, Wen-Chen Chen, Lichieh Julie Chu, Yi-Ting Chen

Journal of Food and Drug Analysis

Oral squamous cell carcinoma (OSCC) remains a major global health challenge, and early detection is essential for improving patient outcomes. To identify reliable salivary biomarkers, we performed a targeted metabolomics study using ¹³C₂/¹²C₂-dansylation, integrating candidate metabolites from published OSCC metabolomics datasets and systematically verifying them through LC-MRM-MS. A panel of 26 metabolites was quantified in saliva samples from 299 subjects, including healthy controls (n = 98), oral potentially malignant disorders (OPMD I, n = 50; OPMD II, n = 53), and OSCC patients (n = 98). Among these, cadaverine, N-acetylcadaverine, choline, glycine, and …

Phthalate Exposure And Lipid Disruption In Taiwanese Children: Insights From Serum Lipidomic Approach, Tzu-Hsin Yen, Wei-Chen Tseng, Sheng-Han Lee, Zhi-Yi Du, Wan-Yu Lin, Mei-Huei Chen, Ching-Chun Lin, Ching-Chun Lin, Hui-Ju Wen, Hao-Jan Liang, Yue-Leon Guo, Pau-Chung Chen, Ching-Yu Lin

Journal of Food and Drug Analysis

Phthalates are ubiquitous environmental contaminants that raise particular concern for children, who generally experience higher exposure levels and are more susceptible to environmental pollutants. To understand potential molecular mechanisms, we conducted a cross-sectional study of 256 Taiwanese children aged 8–10 years from two population-based cohorts: the Taiwan Birth Panel Study and the Taiwan Early-Life Cohort. Serum phosphocholine-containing lipids were profiled by liquid chromatography coupled with triple quadrupole mass spectrometry and associated with urinary levels of 12 phthalate metabolites. Multiple linear regression models, adjusted for demographic and socioeconomic factors, revealed that mono-(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), an oxidative metabolite of di(2-ethylhexyl) phthalate (DEHP), …

Applications Of Nuclear Magnetic Resonance Spectroscopy In Pediatric Clinical Metabolomics: From Research To Future Perspectives, Chieh-Ni Kuo, Meng-Han Chiang, Hsien-Ju Lee, Yu-Ying Yu, Eric Yi-Liang Shen, Chih-Yung Chiu

Journal of Food and Drug Analysis

Metabolomics studies small-molecule metabolites to provide insights into health and disease, supporting early diagnosis and personalized medicine. Advances in mass spectrometry and nuclear magnetic resonance (NMR) have expanded its use in metabolic, cancer, and cardiovascular diseases. In pediatrics, high-resolution NMR metabolomics has been instrumental in identifying age-related metabolic changes during early childhood and their associations with growth, nutrition, and disease risk. However, a comprehensive review of its clinical applications and future potential remains limited. This review highlights how utilizing specific NMR pulse sequences, such as CPMG and NOESY, allows for precise and non-destructive metabolic profiling of diverse biofluids, supported by …

The Evolution Of Desi-Msi: A Comprehensive Look At Preprocessing And Quantification Strategies For Metabolomics, Cheng-Hung Yang, Hung-Yao Ho, Chen-Yu Chang, Mei-Ling Cheng

Journal of Food and Drug Analysis

Mass spectrometry imaging (MSI) has become an indispensable tool in metabolomics for visualizing the spatial distribution of biomolecules within tissues. Due to its direct, ambient analysis capability, desorption electrospray ionization (DESI-MSI) has evolved from a rapid screening tool into a precise and reliable quantitative platform. We delve into its technical principles and particularly review the criticality of sample preprocessing, highlighting the paradigm shift from a "no-preprocessing" approach to one of "optimized preprocessing." The paper details how factors like sample preservation, choice of embedding agents, washing, drying, and on-tissue chemical derivatization all impact data quality. We also discuss how the addition …

Advanced Technologies Of Single-Cell Metabolomics Unveiling Cellular Metabolic Heterogeneity For Biological And Biomedical Research, Shang-Che Kuo, Ting-Wei Tsao, I-Fan Wang, Ying-Lan Chen

Journal of Food and Drug Analysis

Metabolomics provides direct insights into cellular physiology, yet it faces greater analytical challenges compared to genomics and transcriptomics due to the chemical diversity, instability, and environmental sensitivity of metabolites. Conventional bulk metabolomics averages signals across cell populations, thereby masking cellular heterogeneity critical for understanding disease mechanisms. Recent breakthroughs in single-cell metabolomics (SCM), driven by advances in mass spectrometry, microfluidics, isotope tracing, and spatial omics, have enabled the detection of metabolic diversity at unprecedented resolution. SCM has uncovered cell-type-specific biomarkers, revealed metabolic reprogramming in cancer and immunity and revealed disease progression. These studies highlight SCM’s transformative potential in biomarker discovery, clinical …

Metabolomics Of Per- And Polyfluoroalkyl Substances (Pfas) Exposure: Advances In Lc-Ms Technology And Applications, Yu-Meng Wang, Pei-Chen Lin, Yu-Da Zheng, Pin-Shiuan Wu, Kuo-Tai Hua, Sung-Fang Chen

Journal of Food and Drug Analysis

Per- and polyfluoroalkyl substances (PFAS) are a class of synthetic chemicals known for their high stability and bioaccumulation potential, leading to their widespread presence in the environment and human tissues. Exposure to PFAS has been associated with significant health concerns, including neurotoxicity, hepatotoxicity, and metabolic disturbances. Liquid chromatography–mass spectrometry (LC-MS) based metabolomics has emerged as a powerful and central tool for PFAS research, enabling the comprehensive analysis of metabolic changes induced by exposure. This review provides a critical summary of the applications of LC-MS metabolomics in both clinical studies and various experimental models, including in vivo models (mice) and in …

Unpacking Architectural Drawing Literacy: A Critical Pedagogy Approach To Architecture Collections, Shima Hosseininasab, Virginia Ferris, Burak Erdim

Journal of Contemporary Archival Studies

This paper explores using architectural drawings as primary sources in instruction sessions at the North Carolina State University Libraries’ Special Collections Research Center (SCRC) with a critical pedagogy approach. Architectural collections are among the SCRC’s most frequently used materials, yet effective engagement with these unique resources requires specialized knowledge that is often lacking among teaching librarians and faculty, who excel in artifactual literacy and archival practices. The research addresses this gap by arguing that additional guidance in architectural history and technical details is necessary to improve teaching methods and enhance student interpretation of architectural drawings. Using a 200-level architecture class …

No One’S Child: Regulatory Gaps And The Wellbeing Of High School International Students (Hsis) In Homestays In Ontario, Canada, Patricia Quan

Critical Internationalization Studies Review

No abstract provided.

Enhanced Intrusion Detection Using Recurrent Neural Networks With Amino Acid Codon Features, Omar Fitian Rashid, Mohammed Ahmed Subhi, Safa Ahmed Abdulsahib, Mohammed Khaleel Hussein, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which …

The Effect Of Ideals In Near Rings With Respect To Zero Divisor And Completely Equiprime Split Graphs, Sarah Hamid Al-Sharifi, Ameer A. J. Al-Swidi

Iraqi Journal for Computer Science and Mathematics

We seek to find several relationships for some of the graphs that were previously studied by us(completely equiprime graph $CEQ_J( N )$) and by other researchers(simple graph $\Gamma $(R)) based on the ideals of the near rings with our new definition, which is the split and non-split of graphs, which determines the consequent priorities in light of that, specifying that according to the properties of the near ring elements and their ideals.

Latent Space Exploration Of Stylegan2-Ada For Fashion Image Synthesis: A Practical Implementation Guide For Moderate-Sized Datasets, Ali H. Shareef, Hajer Ghodhbani, Tarek M. Hamdani, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

\hlThis paper presents the use of StyleGAN2-ADA for fashion image synthesis and editing. We demonstrate that generative adversarial networks (GANs) can generate realistic and diverse fashion images even under moderate data constraints. The model trained on a dataset of 9,000 fashion images achieved a Fréchet Inception Distance (FID) of 10.8, a Garment Structure Accuracy (GSA) of 0.85, a Pattern Continuity Score (PCS) of 0.78, and an Attribute Transfer Accuracy (ATA) averaging 75% across key attributes. These quantitative results confirm the model’s ability to produce high-quality, structurally consistent, and semantically coherent fashion images. Unlike previous studies focusing on …

Explainable Ai In Agriculture: Bridging The Gap Between Technology And Farmer, Jayarekha P, Anitha H M, Sowmya K S, Nalina V, Audithan Sivaraman, Madhu Narasimha

Iraqi Journal for Computer Science and Mathematics

An intelligent and explainable, as well as user-friendly, crop recommendation and yield prediction system is developed to facilitate agricultural decision-making under various tillage methods with the help of Explainable AI. The system utilizes Machine Learning algorithms and calculates yield changes as a relative term with respect to various inputs such as location, month of sowing, years of NT adoption, and soil type using real-time environmental data; accordingly, it recommends crops. The prediction framework, which is based on various regression algorithms, including Linear Regression, Decision Tree, Random Forest, and Gradient Boosting, was trained on the dataset of agronomic and climatic variables. …

Resolution Of Expression Of Concern: Ontology Features-Based Arabic Text Augmentation Using Word2vec, Enas Tariq Khudair, Onsa Lazzez, Mourad Zaied, Tarek M. Hamdani, Ahmed T. Sadiq, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1386) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1302). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: The Innovative Technique For Obtaining The Solutions Of Jeffery Hamel Nano-Fluids Flow Problem, Haedir Abd Alrazak Namoos, Abeer Majeed Jasim

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1389) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1303). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Software Engineering Approach To Enhancing Privacy Protection: Automated Face Blurring Using Deep Learning In Arab Social Media, Yasmin Makki Mohialden, Nadia Mahmood Hussien, Mostafa Abdulghafoor Mohammed

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1388) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1317). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Quantum Machine And Deep Learning For Medical Image Classification: A Systematic Review Of Trends, Methodologies, And Future Directions, Eman A. Radhi, Mohammed Y. Kamil, Mazin Abed Mohammed

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1387) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1252). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Leveraging Machine Learning For Accurate Prediction Of Nba Player Salaries, Ye Cheng, Yan Song, Mingqi Wang

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1385) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1275). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Improving Road Safety Through Multimodal Deep Learning For Driver Drowsiness Detection, Hadel A. Hussain, Mohammed A. Subhi, Ahmed S. Al Tmeme, Ahmed D. Radhi, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1384) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1330). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Improved Harmony Search Algorithm For Sdn Controller Placement, Yousra Abdul Alsahib S. Aldeen, Ahmed T. Sadiq, Abeer E. Abed, Omar F. Hussain, Syed Hamid Hussain Madni

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1382) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1249). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1381) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1267). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: Artificial Intelligence In Education: Mathematics Teachers’ Perspectives, Practices And Challenges, Mohammad A. Tashtoush, Yousef Wardat, Rommel Al Ali, Shoeb Saleh

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1379) regarding the Original Article (DOI: https://doi.org/10.52866/ijcsm.2024.05.01.004). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:

The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.

We have found …

Resolution Of Expression Of Concern: A Lightweight U-Net Model For Accurate Skin Lesion Segmentation, Fallah H. Najjar, Karrar A. Kadhim, Farhan Mohamed, Mohd Shafry Mohd Rahim, Asniyani Nur Haidar Abdullah

Iraqi Journal for Computer Science and Mathematics

Editor's Note: This Resolution notice concludes the investigation initiated by the Expression of Concern (DOI: https://doi.org/10.52866/2788-7421.1378) regarding the Original Article (DOI: https://doi.org/10.52866/2788-7421.1230). The publication timeline is as follows: Original Article → Expression of Concern → Resolution.

Resolution of Expression of Concern:
The editorial team of the Iraqi Journal for Computer Science and Mathematics has completed a thorough post-publication review of the above-mentioned article, the supporting data, and the authors’ responses to the queries raised. Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors.
We have found …

Recent Advances In Sustainable Production Of Enriched Chicken Eggs: A Mini Review, Karim El-Sabrout, Ayman Abd El-Aziz

Jurnal Ilmu Ternak Universitas Padjadjaran

Enriched or “designer” chicken eggs have emerged as an important category of functional foods aimed at improving human nutrition through dietary manipulation of laying hens. This mini-review summarizes recent advances in egg enrichment strategies, focusing on omega-3 fatty acids, vitamins, minerals, and antioxidant compounds. Omega-3 enrichment remains the most widely adopted approach, achieved through supplementation with flaxseed, fish oil, or microalgae, resulting in significant increases in eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in egg yolk. Multi-nutrient enrichment, including selenium, vitamin E, and carotenoids, has also gained attention due to its potential in enhancing antioxidant capacity and health of hens …

The Arching Analysis Of Rigid Inclusion System Using Cohesive Fill For Load Transform Platform, Ramy Mohammed Mohammed Khalil, Amr F. Elhakim

HBRC Journal

Rigid Inclusion System (RIS) is one of the economic systems for improving highly compressible soil by increasing the bearing capacity of foundation soil and reducing settlements. This system consists of a load transform platform (LTP) with or without geosynthetic reinforcement (GR) membrane resting on an arrangement of piles. The LTP redistributes the fill embankment load so that a higher percentage of load is transferred to pile by arching that leads to a reduction in the settlement of the foundation soil. Many analytical, numerical and experimental studies to model arching within LTP using cohesionless fill are summarized. This paper presents an …

Effect Of Recycled Water As Mixing And Curing Water, On Concrete Properties, Nagah Mousalem, Sayed Abdelbaky, Hesham Ali Ezz-Eldeen, Ahmed Abdel Hafiz Mahmoud

HBRC Journal

This research aims to study the effect of secondary treated wastewater (STWW) and tertiary treated wastewater (TTWW) in concrete mixing and curing as a complete alternative to fresh water to address the water crisis. The treated wastewater used in the study was collected from two wastewater treatment plants in Orasqualia for STWW and El Shorouk for TTWW, Egypt. Chemical analysis was performed on the collected water samples to verify their compliance with the recommendations of the relevant standards used in concrete production. Physical and mechanical tests were performed on cement paste, mortar and concrete specimens. Some durability characteristic of concrete …