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The Case For Using Student-Generated Goals To Cultivate Strong Readers, Heather Anne Wyman Oct 2025

The Case For Using Student-Generated Goals To Cultivate Strong Readers, Heather Anne Wyman

Theses and Dissertations

This mixed-methods action research study explored how to motivate seventh-grade students to become stronger readers. I empowered my students by giving them the autonomy to set their own Lexile goals and develop plans to reach them, offering goal-setting lessons along with feedback and support. Students were motivated to meet the goals they created. Lexile assessment data from two benchmark periods enabled me to determine students’ growth, and survey and interview data helped me to determine their perceptions of their increase in self-efficacy and motivation to achieve. While most students did not meet their self-identified Lexile goals, most made academic progress, …

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The Role Of Language Ideologies In Saudi Elementary English Education: Efl Teacher’S Perspectives And Experiences, Ghanem Saad S Alghuwainem Oct 2025

The Role Of Language Ideologies In Saudi Elementary English Education: Efl Teacher’S Perspectives And Experiences, Ghanem Saad S Alghuwainem

Theses and Dissertations

This dissertation examines how Saudi elementary English teachers understand and enact language ideologies in a period of rapid educational change and national reform. Using a comparative case study of five teachers in Al-Ahsa, the study triangulates semi-structured interviews, classroom audio recordings, and teaching materials to compare stated beliefs with observable practice. The analysis is guided by the theories of English hegemony and language and gender ideology, which together illuminate how global linguistic hierarchies are localized through teachers’ beliefs and practices. Findings reveal that teachers occupy an ideologically complex position as they balance the national push for English proficiency under Vision …

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Developing A Dynamic Bilingual Space In An Early Childhood Korean Heritage Language Classroom Through Multimodal Translanguaging Pedagogy, Kyungjin Hwang Oct 2025

Developing A Dynamic Bilingual Space In An Early Childhood Korean Heritage Language Classroom Through Multimodal Translanguaging Pedagogy, Kyungjin Hwang

Theses and Dissertations

Drawing on translanguaging theory and multimodal literacy, this dissertation examines how a multimodal translanguaging pedagogy can create a dynamic bilingual space in a Korean heritage language classroom in the southeastern United States. Using a teacher-research design and thematic analysis of classroom video recordings and student artifacts, the study explored ten instructional modules with Korean-American children aged five to six. It first identified the core components of the pedagogy, its framework, curriculum content, and teacher strategies, and then analyzed how children flexibly used Korean and English across modes such as speaking, writing, and drawing. Findings revealed diverse translanguaging forms and functions. …

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Investigating The Influence Of Instructional Strategies On The Development Of Procedural And Conceptual Knowledge In Advanced Algebra Ii Students, Maura Frances Yinger Oct 2025

Investigating The Influence Of Instructional Strategies On The Development Of Procedural And Conceptual Knowledge In Advanced Algebra Ii Students, Maura Frances Yinger

Theses and Dissertations

This mixed-methods action research study investigated the influence of instructional strategies shown to improve students’ procedural and conceptual understanding in a rational expressions and equations unit in Advanced Algebra II. The instructional strategies used in the study include comparing, self-explaining, and exploring before instruction. The students (N=27) completed a pre-test and a post-test, both of which were followed by questions asking students to justify their responses on two questions. All students also responded to six digital self-explanation journal prompts. Randomly selected students were placed into three homogenous groups to participate in performance task observations. Analysis of the data …

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Beyond The Bipolar: Allowing Satisfaction And Dissatisfaction To Coexist, Dustin J. Souders, Yixiu Yu Oct 2025

Beyond The Bipolar: Allowing Satisfaction And Dissatisfaction To Coexist, Dustin J. Souders, Yixiu Yu

Publications

Copyright © 2025 Souders and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

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Neonatal Early-Onset Sepsis: It’S Not Always What You Think, Gabriela M. Henriquez, Kedar Tilak, Douglas Swanson, Susana Chavez-Bueno Oct 2025

Neonatal Early-Onset Sepsis: It’S Not Always What You Think, Gabriela M. Henriquez, Kedar Tilak, Douglas Swanson, Susana Chavez-Bueno

Posters

No abstract provided.

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Building Services Engineering September/October 2025 Oct 2025

Building Services Engineering September/October 2025

Building Services Engineering

No abstract provided.

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Diabetes-Related Foot Complications And Socioeconomic Influences Among Hispanic Males In South Texas: A Scoping Review, Mariana J. Rodriguez, Demian Rodriguez, Amanda L. Killeen Oct 2025

Diabetes-Related Foot Complications And Socioeconomic Influences Among Hispanic Males In South Texas: A Scoping Review, Mariana J. Rodriguez, Demian Rodriguez, Amanda L. Killeen

School of Podiatric Medicine - Student Research

Introduction: Diabetes mellitus is the 7th leading cause of death in the United States and is 6th in the state of Texas. Counties from South Texas are primarily affected with higher rates of diabetes than both the state and national average. Diabetes mellitus is a complex and progressive disease which can affect multiple systems of the body, leading to serious complications if untreated, especially in the lower extremities. Uncontrolled diabetes is often associated with diabetic foot ulcers (DFU), foot infections, and lower extremity amputations (LEA). South Texas is a region predominantly populated by Hispanic Americans who are disproportionally …

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Decorin Evokes A Pro-Lysosomal Pathway In Lymphatic Endothelial Cells, Gabriel J. Pascal, Dipon K. Mondal, Sadie Kim, Christopher Xie, Devanarayanan Siva Sankar, Jörn Dengjel, Renato V. Iozzo Oct 2025

Decorin Evokes A Pro-Lysosomal Pathway In Lymphatic Endothelial Cells, Gabriel J. Pascal, Dipon K. Mondal, Sadie Kim, Christopher Xie, Devanarayanan Siva Sankar, Jörn Dengjel, Renato V. Iozzo

Kimmel Cancer Center Faculty Papers

The lymphatic system is critical to the body's immune and circulatory system, and lymphangiogenesis, the development of new lymphatic vessels from pre-existing ones is a significant process capitalized upon by cancer during tumorigenesis. Decorin is a small leucine-rich proteoglycan which we have previously shown to be anti-tumorigenic and a suppressor of lymphangiogenesis. We have also shown that decorin exercises its anticancer properties through its ability to evoke autophagy. Through a comprehensive and unbiased proteomic analysis, we explored the implications of decorin exposure on protein expression within mouse lymphatic endothelial cells. We discovered that decorin enriches several protein pathways, notably proteasomal …

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Flatness-Based Active Disturbance Rejection Control With B-Spline Output Regulation For A Chemical Reactor, Qasim M. Hamad, Safanah M. Raafat Oct 2025

Flatness-Based Active Disturbance Rejection Control With B-Spline Output Regulation For A Chemical Reactor, Qasim M. Hamad, Safanah M. Raafat

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Model uncertainties and exogenous disturbances are inherent phenomena in chemical plants that degrade performance and lead to poor-quality products. To mitigate these Issues, this paper addresses disturbances by exploiting the differential flatness property (DFP) of the nonlinear continuous stirred tank reactor (NCSTR). A two-degree-of-freedom (2DOF) control design was implemented, incorporating flatness-based feedforward and feedforward and feedback controllers. This design leverages the differential flatness method for effective stabilization and tracking performance. A robust feedback tracking control strategy integrating a disturbance observer (DO) and a simple feedback controller was implemented to form a flatness active disturbance rejection control (FADRC) scheme. The B-spline …

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Group-Based Sample Partitioning Knn: A Computationally Efficient Knn Algorithm For Resource-Constrained Environments, Ayad M. Dalloo, Amjad J. Humaidi Oct 2025

Group-Based Sample Partitioning Knn: A Computationally Efficient Knn Algorithm For Resource-Constrained Environments, Ayad M. Dalloo, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The k-Nearest Neighbors (kNN) algorithm is widely used for classification due to its simplicity and effectiveness. However, its computational cost remains a significant challenge, particularly for embedded systems with limited processing power and memory. To address this Issue, we propose the Group-Based Sample Partitioning (k²NN) Algorithm, which introduces a two-phase approach to reduce computational complexity while maintaining classification accuracy. In the first phase, the algorithm pre-groups training samples by iteratively selecting anchor points and partitioning their k-nearest neighbors, thereby reducing redundancy in the dataset. In the second phase, the test sample dynamically selects local anchor points, constructing a smaller, more …

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Video Deep Fake Detection Based On Spatiotemporal Analysis, Muna Ghazi Abdulsahib Oct 2025

Video Deep Fake Detection Based On Spatiotemporal Analysis, Muna Ghazi Abdulsahib

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Deep fake videos are a threat to information integrity by using advanced deep learning techniques to manipulate visual content and make it hard to distinguish from real videos. This includes videos where a person’s image is changed or replaced using deep learning techniques. In this paper, we propose a hybrid approach for deep fake video detection that combines spatial and temporal features. We use a pre-trained VGG16 to extract deep spatial features from individual frames, and then global average pooling at both spatial and temporal level to convert variable length video sequences into fixed dimensional representations. A fully connected classifier …

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A Review Of Post-Quantum Digital Signature Schemes Applicability And Performance In Various Environments, Marwa M. Hamood, Arwa A Oct 2025

A Review Of Post-Quantum Digital Signature Schemes Applicability And Performance In Various Environments, Marwa M. Hamood, Arwa A

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The emergence of quantum computers, coupled with relentless advancements in technology, calls for the immediate transition from classical to modern cryptography for efficient data transfer across optic fibers. This paper assesses different proposed post-quantum signature schemespertaining to their plausibility of being useful against quantum computers’ capabilities. The ability of quantum computers to solve mathematical equations at speeds significantly faster than those of classical computers is remarkable. Existing cryptographic frameworks that depend on discrete logarithms and integer factorization are seriously threatened by this exceptional efficiency. In order to protect sensitive data in a post-quantum world, it may be necessary to reevaluate …

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Emotion Recognition From Upper-Body Movements With A Pose Collage Cnn Architecture, Gheed Tawfeeq Waleed, Shaymaa Hameed Oct 2025

Emotion Recognition From Upper-Body Movements With A Pose Collage Cnn Architecture, Gheed Tawfeeq Waleed, Shaymaa Hameed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Emotion recognition through body movement presents a compelling alternative to traditional facial and vocal analysis in the field of emotion recognition . This study introduces a deep learning-based framework that utilizes upper-body movements features to classify emotional states using ConVolutional Neural Networks (CNNs). The system is trained and evaluated on the Body Language Dataset (BoLD) dataset, targeting seven primary emotions: happiness, sadness, anger, fear, surprise, joy, and disgust. The proposed model achieves a classification accuracy of 95.72%, significantly outperforming existing methods in bodybased emotion recognition. The result highlights the potential of body posture as a reliable and standalone modality for …

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New Traffic Control Based On Vanets Protocols Technique, Bushra Jaber M.Jawad Oct 2025

New Traffic Control Based On Vanets Protocols Technique, Bushra Jaber M.Jawad

Iraqi Journal of Computers, Communications, Control and Systems Engineering

An ad hoc network in a mobile system is known as a vehicular network. This application is useful in communication between the roadside and vehicle infrastructures. Nowadays, the deficiency and quality of transport classifications of smart transport systems are playing a vital and excessive role. This paper presents the examination of the traffic stream under VANET protocol methods. In the execution of luxury and safe vehicular ad hoc networks, the automobile must resolve inquiry information from other vehicles through multi-loop organizations. In case of the data move in vehicular ad hoc networks, it should have to aspect numerous disruptions because …

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Applications And Control Of Cable-Driven Parallel Robot: A Review, Yasser Hatim Alwan, Muayad Sadik, Ahmed Alaa Oglah Oct 2025

Applications And Control Of Cable-Driven Parallel Robot: A Review, Yasser Hatim Alwan, Muayad Sadik, Ahmed Alaa Oglah

Iraqi Journal of Computers, Communications, Control and Systems Engineering

A cable driven parallel robot (CDPR) is a specific kind of parallel robot that utilizes cables as opposed to traditional rigid links to perform their functions. This gives it the advantages of being lightweight, having a wide operational workspace, and being easier and less expensive to implement than alternatives since it only requires cables operated by motors and fixed to a structure suitable for a certain application, allowing them to move and rotate an end-effector. The concept of this robot is not new though using a fully automated version of it was only started in the mid1980s and witnessed extensive …

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Improved Carrier Frequency Offset Measurement With Reduced Latency And Computational Requirements, Niyaz Othman Ali, Jalal Jamal Oct 2025

Improved Carrier Frequency Offset Measurement With Reduced Latency And Computational Requirements, Niyaz Othman Ali, Jalal Jamal

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Over the past four decades, the communication sector has experienced significant economic growth and widespread adoption. Some emerging applications require high data rates, low latency, and must operate efficiently in environments where wireless devices are moving at high speeds. Noise and high device mobility have a considerable impact on received signal frequency, ultimately affecting system performance. So, accurate frequency estimation for received signals is therefore crucial, prompting extensive research. In this paper, we propose a three-step frequency estimation technique. The first stage, termed the coarse stage, employs a few sampling sizes to perform a fast Fourier transform. The second stage …

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Artificial Intelligence For Eeg Analysis: A Comprehensive Review Of Deep Learning Techniques, Hudai Ahmedi Albeiruti Oct 2025

Artificial Intelligence For Eeg Analysis: A Comprehensive Review Of Deep Learning Techniques, Hudai Ahmedi Albeiruti

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This review systematically outlines the progression and implementation of artificial intelligence (AI) techniques, with a focus on deep learning (DL), for the analysis of electroencephalogram (EEG) signals. We cover the whole EEG processing pipeline from signal acquisition and preprocessing to feature extraction and classification. The survey begins with traditional machine learning techniques such as Common Spatial Patterns (CSP) and Support Vector Machines (SVMs), then transitions to more recent DL architectures—including ConVolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and their hybrid configurations—that have significantly expanded the analytical capabilities of neurophysiological systems. These methods have been widely applied in fields ranging …

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Corporate Governance And Tax Compliance Of Publicly Listed Companies In The Philippines, Hans Theo S. Ramirez, Jhulliane Kiss A. Mijares, Alyson Jane D. Constantino, Marwel B. Toledo, Jacob Marius L. Tolentino, Elma L. Mallorca Oct 2025

Corporate Governance And Tax Compliance Of Publicly Listed Companies In The Philippines, Hans Theo S. Ramirez, Jhulliane Kiss A. Mijares, Alyson Jane D. Constantino, Marwel B. Toledo, Jacob Marius L. Tolentino, Elma L. Mallorca

Journal Article

Corporate tax compliance is the key to the development of the economy. Annual effective tax rate is applied in this study to identify what corporate governance mechanisms—shareholders, management, and corporate social responsibility (CSR) strategy—are responsible for inducing tax compliance. A panel regression analysis of 20 listed companies in the Philippines from 2012-2023 has shown that the sole determinant of corporate tax compliance is CSR strategy. Effective CSR practices help firms to minimize tax avoidance by paying the appropriate corporation tax rate mandated by law. This is an example of how CSR can enhance ethical financial behavior. This study integrates stakeholder, …

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Visual-Enhanced Multimodal Framework For Flexible Job Shop Scheduling Problem, Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang Oct 2025

Visual-Enhanced Multimodal Framework For Flexible Job Shop Scheduling Problem, Peng Zhao, Zhiguang Cao, Di Wang, Wen Song, Wei Pang, You Zhou, Yuan Jiang

Research Collection School Of Computing and Information Systems

Multimodal models leverage complementary information across modalities to enrich feature representations. While visual information shows potential in representing structure for some combinatorial optimization problems (COPs), its application to complex scheduling like the Flexible Job Shop Scheduling Problem (FJSP) remains underexplored. Current learning-based FJSP solvers predominantly rely on handcrafted state features. This dependence can lead to inconsistencies and may not fully capture the problem's intricate dynamics. Crucially, these methods overlook visual modalities. Visual representations offer a distinct advantage by inherently capturing the global topological structure and complex resource interactions within the FJSP state. Unlike localized handcrafted features, this holistic, structural view …

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Genwardrobe: A Fully Generative System For Travel Fashion Wardrobe Construction, Peng Jin, Yilin Wen, Mingzhe Yu, Yunshan Ma, Rong Zheng, Jin‑Tu Fan, Chong Wah Ngo Oct 2025

Genwardrobe: A Fully Generative System For Travel Fashion Wardrobe Construction, Peng Jin, Yilin Wen, Mingzhe Yu, Yunshan Ma, Rong Zheng, Jin‑Tu Fan, Chong Wah Ngo

Research Collection School Of Computing and Information Systems

With the increasing demand for outfit planning in real-world travel scenarios, the need for constructing a travel fashion wardrobe, a series of outfits tailored to a user's personalization and destination-specific context over a short travel period, has grown significantly. However, existing systems or works often focus on isolated factors and rely on retrieval-based methods, with insufficient utilization of generative models, limiting their adaptability to real-world travel scenarios. To address this issue, this study introduces GenWardrobe, a fully generative system for travel fashion wardrobe construction. GenWardrobe consists of three key modules: user query analysis, fashion knowledge retrieval via retrieval-augmented generation and …

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Contrastrepair: Enhancing Conversation-Based Automated Program Repair Via Contrastive Test Case Pairs, Jiaolong Kong, Xiaofei Xie, Mingfei Cheng, Shangqing Liu, Xiaoning Du, Qi Guo Oct 2025

Contrastrepair: Enhancing Conversation-Based Automated Program Repair Via Contrastive Test Case Pairs, Jiaolong Kong, Xiaofei Xie, Mingfei Cheng, Shangqing Liu, Xiaoning Du, Qi Guo

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) aims to automatically generate patches for rectifying software bugs. Recentstrides in Large Language Models (LLM), such as ChatGPT, have yielded encouraging outcomes in APR,especially within the conversation-driven APR framework. Nevertheless, the efficacy of conversation-drivenAPR is contingent on the quality of the feedback information. In this article, we propose ContrastRepair, anovel conversation-based APR approach that augments conversation-driven APR by providing LLMs withcontrastive test pairs. A test pair consists of a failing test and a passing test, which offer contrastive feedback tothe LLM. Our key insight is to minimize the difference between the generated passing test and the …

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Exploring Insect-Based Tourism Potential In Mount Makiling Forest Reserve Through Tourism Insights, Alexis John T. Fajardo, Rogelio T. Andrada Ii, Roberto G. Visco, Dianne Joy D. Aguilon Oct 2025

Exploring Insect-Based Tourism Potential In Mount Makiling Forest Reserve Through Tourism Insights, Alexis John T. Fajardo, Rogelio T. Andrada Ii, Roberto G. Visco, Dianne Joy D. Aguilon

Journal Article

This study explored the potential of offering insect-based tourism in the Mount Makiling Forest Reserve (MMFR) to diversify its ecotourism portfolio and reinforce promotion of biodiversity conservation. Addressing a global lack of research that explores insect-based tourism, this study analyzed the perceptions, experiences, attitudes, knowledge, and interests of 584 tourists regarding their motivation and possible participation in such an activity. The findings revealed strong tourist interest, with 73.3% expressing a desire to engage in insect-based tourism and 67.5% specifically stating they would participate if the activity were offered at MMFR. Although 29.8% of tourists were unfamiliar with the concept of …

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In This Issueoriginal Articles Oct 2025

In This Issueoriginal Articles

Saudi Medical Journal

No abstract provided.

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Translating Evidence To Action To Improve Care And Outcomes In Type 2 Diabetes And Chronic Kidney Disease, Joshua J. Neumiller, Nuha A. Elsayed Oct 2025

Translating Evidence To Action To Improve Care And Outcomes In Type 2 Diabetes And Chronic Kidney Disease, Joshua J. Neumiller, Nuha A. Elsayed

Saudi Medical Journal

No abstract provided.

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Approaches To Reduce The Impact Of Stroke In Gulf Cooperation Council Nations, Muath A. Alammar Oct 2025

Approaches To Reduce The Impact Of Stroke In Gulf Cooperation Council Nations, Muath A. Alammar

Saudi Medical Journal

No abstract provided.

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The Economic Burden Of Atherosclerotic Cardiovascular Disease In The Kingdom Of Saudi Arabia, Mirvat Alasnag, Adel Tash Oct 2025

The Economic Burden Of Atherosclerotic Cardiovascular Disease In The Kingdom Of Saudi Arabia, Mirvat Alasnag, Adel Tash

Saudi Medical Journal

No abstract provided.

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Phase Iv Clinical Trials For The Treatment Of Non-Small Cell Lung Carcinoma (Nsclc): A Systemic Review From 2020-2025, Yousif A. Kariri, Mohammed H. Alqasmi, Bijad S. Alqahtani Oct 2025

Phase Iv Clinical Trials For The Treatment Of Non-Small Cell Lung Carcinoma (Nsclc): A Systemic Review From 2020-2025, Yousif A. Kariri, Mohammed H. Alqasmi, Bijad S. Alqahtani

Saudi Medical Journal

ABSTRACT Objective: To evaluate and provide evidence on drugs investigated in completed phase IV clinical trials for adult non-small cell lung carcinoma (NSCLC) therapy, primarily focusing on treatment objectives and adverse effects. Methods: Clinical research studies from January 2020 to January 2025 were systematically reviewed using the “ClinicalTrials.gov” database. The inclusion criteria focused on publicly available, relevant, and completed Phase IV studies limited to “Clinicaltrials.gov”, while those not meeting these specifications were excluded. As of 3 January 2025, a total of 7,541 Phase IV clinical trials were available on “ClinicalTrials.gov”, of which 121 were related to NSCLC. Results: Six of …

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The Effect Of Specialized Management Of Acute Coronary Syndrome On Patient’S Quality Of Life: A Tertiary Care Centre Study., Maan Jamjoom, Muath Alharbi, Waleed M. Malibari, Waleed Alshehri, Mohammed A. Aalem, Wafa D. Althubaity, Nouf K. Alalshaikh, Mahmoud A. Toonsi, Faisal A. Boker Oct 2025

The Effect Of Specialized Management Of Acute Coronary Syndrome On Patient’S Quality Of Life: A Tertiary Care Centre Study., Maan Jamjoom, Muath Alharbi, Waleed M. Malibari, Waleed Alshehri, Mohammed A. Aalem, Wafa D. Althubaity, Nouf K. Alalshaikh, Mahmoud A. Toonsi, Faisal A. Boker

Saudi Medical Journal

ABSTRACT Objectives: To assess the impact of Acute Coronary Syndrome (ACS) on quality of life (QoL) among patients at King Abdulaziz Medical City in Western Jeddah. Acute Coronary Syndrome significantly affect patients’ QoL. Many individuals experience challenges post-ACS. While previous research has identified baseline QoL, access to specialized care, and assessment tools as important factors influencing recovery, limited studies have examined how baseline QoL affects long-term outcomes. Methods: This hybrid cross-sectional study included ACS patients treated at King Abdulaziz Medical City. A sample size of 268 was calculated using RAOSOFT. A culturally tailored questionnaire, derived from the SF-36, was developed, …

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The Association Between Inflammatory Bowel Disease And Ischemic Heart Disease: A Retrospective Cohort Study, Mahmoud H. Mosli, Dima M. Alsulami, Yara K. Alghamdi, Abdullah S. Badahdah, Asmaa H. Alhibshi, Thamer M. Alamri, Maan S. Alkhattabi, Khames T. Alzahrani, Hadeel A. Alsufyani, Omar I. Saadah Oct 2025

The Association Between Inflammatory Bowel Disease And Ischemic Heart Disease: A Retrospective Cohort Study, Mahmoud H. Mosli, Dima M. Alsulami, Yara K. Alghamdi, Abdullah S. Badahdah, Asmaa H. Alhibshi, Thamer M. Alamri, Maan S. Alkhattabi, Khames T. Alzahrani, Hadeel A. Alsufyani, Omar I. Saadah

Saudi Medical Journal

ABSTRACT Objectives: To evaluate the association between Inflammatory bowel disease (IBD) and Ischemic heart disease (IHD). Methods: A retrospective cohort analysis included patients with and without IBD seen at the outpatient gastroenterology clinic of a large tertiary care hospital between January 2015 and October 2022. The primary outcome was the association between IBD and IHD, and the secondary outcome was predictors of IHD in patients with IBD. Results: The study included 400 patients; 291 were IBD patients, and 109 had other non-inflammatory GI disorders. The IBD group displayed significantly lower rates of hyperlipidemia (8.6% vs. 30.3%, p <0.001), diabetes mellitus (DM) (10% vs. 24.8%, p <0.001), and hypertension (11.7% vs. 32.1%, p <0.001) compared to the non-IBD group. Only 2.7% (n=8) of IBD patients developed IHD. Logistic regression analysis did not demonstrate a significant association between IBD and IHD ( p =0.932). Among classical risk factors, only hypertension (OR: 26.2, 95% CI: 2.14–661, p =0.016) and hyperlipidemia (OR: 10.5, 95% CI: 1.32–132, p =0.0405) significantly increased the risk of developing IHD among patients with IBD. Conclusion: In this cohort, there is no increased risk of developing IHD in patients with IBD compared to non-IBD patients.

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