Digital Commons Network^™

The Impact Of Electronic Activities On The Development Of Multimedia Production Skills Among Students Of The Faculty Of Education At Shaqra University, Saud Saad Faize Alakloby

University of Bisha Journal for Educational Sciences

The employment of electronic activities in the learning and processes requires the teacher and the learner multiple skills, including the skill of multimedia, which has become one of the necessities necessary for learning, Therefore, this study aimed to find out the effectiveness of electronic activities in developing multimedia skills among students of the Faculty of Education at Shaqra University, and the study sample consisted of 42 female and female students who were divided into 21 female students for the control group that underwent the traditional method, 21 female students for the experimental group that underwent the strategy of electronic activities …

Strategic Flexibility And Its Relationship With The Effectiveness Of Strategic Decision Making In Emerging Saudi Universities. "A Field Study"., Fahad H. Alebieri

University of Bisha Journal for Educational Sciences

This study aimed at identifying the degree of practicing strategic flexibility and its relationship with the effectiveness of making strategic decision in Saudi emerging Universities from the perspective of academic leaders. The descriptive correlative approach was used by developing a 56-item questionnaire. It was applied to a sample that consisted of (143) academic leaders who were chosen randomly. The results showed that the degree of strategic flexibility in in emerging Saudi Universities was medium with an average of (2.86), and the degree of the effectiveness of making strategic decisions was medium with an average of (2.79). The results found that …

Engagement By Design: Belongingness, Cultural Value Orientations, And Pathways Into Emerging Technologies, Daisuke Akiba, Michael Perrone, Caterina Almendral, Rebecca Garte

Publications and Research

This theoretical article examines how belongingness, defined as the sense that one’s participation is legitimate and valued, interacts with cultural value orientations to help explain persistent disparities in U.S. technology engagement, including emerging technologies, across racial and ethnic groups. While structural barriers (e.g., racism, poverty, linguistic bias, etc.) remain essential to understanding such inequity, we argue that engagement patterns in technology also reflect how different cultural communities may define and experience belongingness in relation to digital domains. Drawing on Triandis and Gelfand’s framework, and focusing specifically on educational contexts, we propose the Belongingness through Cultural Value Alignment (BCVA) model, whereby …

Synergistic Effects Of Nano-Additives And Aggregate Type On The Mechanical And Hydraulic Performance Of Pervious Concrete Pavements, Rayan Khalid Rahman, Jamal I. Kakrasul

Polytechnic Journal

Increasing demands for sustainable urban infrastructure have made pervious concrete emerge as a promising pavement material due to its ability to combine load-bearing capacity with stormwater infiltration. This paper explores the synergetic effect of nanomaterials on the mechanical, hydraulic and durability characteristics of pervious concrete made with three different coarse aggregates: crushed limestone (CL), river aggregate (RA), and recycled concrete aggregate (RCA). Twelve concrete mixes were prepared using varying combinations of nano-modified mixes to investigate their influence on key properties, including dry density, void content, compressive strength, tensile strength, permeability and abrasion resistance. The results showed that river aggregate …

From Batches To Flow: Transforming Downstream Processing Into A Continuous Enterprise, Alois Jungbauer

Integrated Continuous Biomanufacturing VII (ICB VII)

Please click Additional Files below to see the full abstract

25 Conference Program - Integrated Continuous Biomanufacturing Vii, Kevin Brower, Alois Jungbauer, Mark Brower, Irina Ramos

Integrated Continuous Biomanufacturing VII (ICB VII)

No abstract provided.

Take In Case Of Emergency: Reconciling Necessity Takings With The Original Meaning Of The Takings Clause, Tony Smith

Northwestern University Law Review

Does the Fifth Amendment’s Takings Clause permit the state to destroy property without compensation whenever it declares an emergency? The long-standing doctrine of necessity empowers the state to do exactly that.

Courts dating back to common law England have permitted governments to claim a privilege of necessity to avoid paying for private property they destroy in times of crisis. The privilege rests on the principle that the public good sometimes outweighs the harm the individual suffers. Today’s courts and academics stretch this principle to its limits, arguing necessity should be used as a vehicle for combating all manner of social …

Moving Beyond Traditional Legal Scholarship Impact Rankings, John Cannan

Faculty Publications

Legal academia is likely stuck with law faculty scholarly impact rankings—that is, using citation counts to judge a law faculty’s reputation and influence. But why can’t we produce better, more useful studies? Current rankings rely on outdated methods. Moreover, these rankings—touted by their creators as objective—suffer from long-standing flaws. They are also grounded in limited understandings of legal citations as sources of information. This paper calls on law librarians to advance legal citation research by adopting methodologies from other information sciences and developing legal citation taxonomies and theories.

Radiological Insights Into Spina Bifida Occulta In Adults: Unveiling The Hidden Defect In The Lumbosacral Spine Of The Northern Indian Population At A Tertiary Care Centre, Binita Chaudhary, Ruchika Narayan, Prem Kumar, Bijaya N. Nayak, Padamjeet Panchal

Sultan Qaboos University Medical Journal

Objectives: Spina bifida occulta (SBO) is a congenital spinal defect characterised by incomplete closure of the posterior neural arch. Despite its clinical relevance, discrepancies remain in the published literature. This study aimed to determine the distribution pattern and prevalence of SBO in the Northern Indian population using three-dimensional reconstructed specimens of the lumbosacral spine. Methods: This retrospective study was conducted between March 2023 and November 2024 at the All India Institute of Medical Sciences Patna, India. A total of 241 computed tomography (CT) scans of the spine from patients aged over 18 years were analysed. Three-dimensional images were reconstructed …

Enhancing 6g Network Security With Quantum Key Distribution: A Comprehensive Review, Bassma M. Kamil

Al-Esraa University College Journal for Engineering Sciences

With the considerable progress of sixth-generation (6G) networks further on the horizon, security has attracted much attention in the face of increasingly sophisticated threats, especially from quantum computing. Classical cryptographic schemes based on computational hardness are becoming more and more brittle, as they can easily be attacked with a quantum computer. Quantum Key Distribution (QKD) arises as a promising tool for information-theoretic security through quantum mechanics to obtain an unbreakable key by exchanging unknown bit sequences. In this paper, we provide an extensive survey on the integration of QKD both in the envisioned 6G architecture, including current implementations, technical feasibility, …

Protection The Nfv Net-Work Using The Random Forest Classification, Mustafa H. Taha, Ibtesam Jomaa Hawi, Wafaa Waheeb Abdullah Ali

Al-Esraa University College Journal for Engineering Sciences

A misuse attack is the most common and dangerous type of attack that could target NFV (Network Function Virtualization). In a misuse attack, the attacker attempts to consume the NVF environment’s resources by sending a large amount of traffic. To protect the NFV environment, an early and accurate misuse attack detection system has been proposed based on NFV and Random Forest Classifier. The proposed model starts with importing the dataset and analyzing it then pre-processing and feature selection using a PSO (particle swarm optimization) Test algorithm, classification is based on the most common and efficient machine learning technique, which is …

Design Of A Hybrid System For Powering Wireless Communication Units, Samer Rabih, Ahed Alboody

Al-Esraa University College Journal for Engineering Sciences

Wireless and optical communication units are becoming more widespread nowadays, especially in rural areas. Therefore, feeding electricity has become essential for the continuity of services. As a result of economic and social development, there has been an urgent need to supply electrical power for the basic requirements of wired and wireless telecommunications equipment. This is linked to public safety, long life, and connection to uninterruptible power systems to ensure continuous power supply, whether from renewable energy sources or traditional diesel systems. This research studies and designs a renewable energy (solar) power system to power telecommunications equipment. The proposed power system …

Dynamic Ris-Enabled Massive Mimo Noma Systems Power Allocation Optimization For 6g Using Machin Learning Approach, Mohamed Hassan, Khalid Hamid, Salah Hagahmoodi, Elmuntaser Hassan

Al-Esraa University College Journal for Engineering Sciences

This study examines spectral efficiency (SE) and throughput throughout a spectrum of user densities (from 50 to 1000 users), user mobility speeds (0 to 350 km/h), latency, packet loss, and fairness index, within a wide range of signal-to-noise ratios (SNRs). The analysis includes a number of different situations, such as (i) cooperative non-orthogonal multiple access (NOMA) with massive multiple-input multiple-output (mMIMO), (ii) mMIMO cooperative NOMA integrated with cognitive radio (CR), and (iii) CR-assisted mMIMO cooperative NOMA enhanced with reconfigurable intelligent surfaces (RIS). All of these are part of 6G millimeter-wave (mmWave) networks. The study investigates the enhancement of latency, packet …

Harnessing Waste Heat From Solar Cells Using Advanced Energy Storage Systems, Hayder Ibrahim Ismael

Al-Esraa University College Journal for Engineering Sciences

Renewable energy is largely produced by photovoltaic (PV) solar cells, but such a process is greatly impacted with thermal buildup as the solar cells work. Redundant heat not only lowers the level of electrical production, but also hastens deterioration and decreases the life-time of PV modules. In this study, we suggest a hybrid system which combines high-performance energy storage devices, namely, super-capacitors, and PV modules coupled with the use of waste heat as a source of useful energy and which increases efficiency of the system in conjunction. In order to estimate the potential amount of thermal energy recovery, as well …

Empirical Research Of A Greenhouse Monitoring And Controlling System Using Zigbee Protocol, Mohammed Hijazeh, Salah Hagahmoodi

Al-Esraa University College Journal for Engineering Sciences

Greenhouses are of great importance in the agricultural field as they provide the appropriate and important environment for the growth and production of various plants regardless of the surrounding environmental conditions. Monitoring and controlling these houses are considered necessary and important in order to provide the required environment and obtain the best production. Therefore, the aim of this project is to study the monitoring and control of these houses using wireless sensor networks, which are considered modern and simple methods due to the accuracy of work and little effort they provide, and thus better production. The study will be for …

Designing An Efficient Deduplication Algorithm For Audio Files In Cloud Storage, Ammar Zakzouk, Alaa Al Sebae, Hasan Hasan

Al-Esraa University College Journal for Engineering Sciences

Data duplication is a significant challenge in large-scale data storage systems, as it consumes storage space and impacts data organization, management, and processing. An optimal storage system effectively utilizes available storage space. To solve this problem, hash algorithms are employed to generate hash keys for files. Matching files have the same hash key. However, the hash key for two different files in the data may match, and this is what we refer to as a collision. The collision issue is related to the length of the hash key. As the length of the hash key increases, the probability of a …

The Future Of Al-Driven Cybersecurity For Advanced Iot, Estqlal Hammad Dhahi, Sanaa Hammad Dhahi, Ohood Fadil Alwan

Al-Esraa University College Journal for Engineering Sciences

Internet of Things technologies experience rapid advancement because of 5G networks and upcoming 6G technologies, which resulted in transformational changes to security dynamics. This study examines the functionality of artificial intelligence through platforms developed to secure Internet of Things systems. The demand for improved security capabilities has become essential because IoT devices generate new assault channels, and their market penetration speed is escalating. Machine learning algorithms, together with deep learning and natural language processing methods, are investigated in this paper for enhancing the security protocols of IoT systems through studies found in academic literature. The paper explores upcoming developments and …

Foundations Of Artificial Intelligence In Healthcare Diagnostics: A Systematic Survey, Raghad Tariq Al-Hassani

Al-Esraa University College Journal for Engineering Sciences

Artificial Intelligence (AI) is becoming the cornerstone of the future of healthcare diagnostics, that has to ability to change the healthcare diagnostic landscape in terms of diagnostic accuracy, speed, and availability. This systematic review investigates the basic methods, tools, applications, and challenges involved in the integration of AI in diagnostic medicine. It emphasizes the using of machine learning models, deep learning networks (e.g., CNNs), NLP for clinical documentation, and smart computing infrastructures, such as edge device and IoMT. They are making possible real-time, data-driven decision making that is already at human-expert-level performance or, in some cases, even better (in the …

Secure Gif Files Based On Zuc Stream Cipher And Present Algorithm, Suhad Fakhri Hussein

Al-Esraa University College Journal for Engineering Sciences

Some important security needs include authentication, confidentiality, integrity, non-repudiation, and user privacy. Many security systems include these required protections for information transmission. The encryption process is one of the most important security measures. Many secure encryption algorithms are based on different keys and key lengths to ensure a high degree of security. GIF file format is common file format that is used in several application, securing these files through transmission is imperative. In this paper, an efficient method for encryption GIF file is proposed based on using modified present algorithm, modified ZUC stream cipher, and an efficient method for key …

Advanced Strategies And Solutions Towards More Secure And Effective Two-Factor Authentication In Networking, Zahraa Sameer Jawad

Al-Esraa University College Journal for Engineering Sciences

With the rapid increase in cybersecurity threats targeting network systems, traditional two-factor authentication (2FA) methods are insufficient to address advanced attacks. Vulnerabilities such as phishing, SIM-swapping, and social engineering exploit the limitations of SMS-based and email-based 2FA. This paper examines advanced strategies and solutions for securing networked environments through robust 2FA mechanisms, focusing on approaches like elliptic curve cryptography (ECC), digital certificates, and biometric verification. This article offers a comparative review of various strategies about their effectiveness in enhancing security, while also highlighting their capacity to optimize user-friendliness and adaptability to emerging threats. Research findings promote an effective countermeasure strategy …

Advancements In Ultrasound Technology And Iot Security: A Physics-Based Approach To Enhanced Imaging With Lightweight Encryption Algorithms, Noor Fawzi Shafiq

Al-Esraa University College Journal for Engineering Sciences

The rapid advancements in ultrasound technology, coupled with the growing significance of IoT security, present a unique opportunity to enhance imaging systems while ensuring data integrity. This study explores the integration of physics-based principles in ultrasound imaging, focusing on how lightweight encryption algorithms can secure data transmitted from IoT devices.Ultrasound technology has evolved significantly, benefiting from improved imaging techniques and the incorporation of IoT devices. As these devices proliferate across various applications, including healthcare and industrial monitoring, the need for secure data transmission becomes paramount. This paper proposes a framework that combines advanced ultrasound imaging with robust lightweight encryption methods …

Enhancing Automated Lung Disease Detection From Chest Radiography: An Interpretable Deep Learning Approach With Integrated Preprocessing And Ensemble Modeling, Ahmed Mohammed Abdulkarem, Jamal Kamil K. Abbas, Qamar Ali Abdulridha

Al-Nisour Journal for Medical Sciences

In this study, we tackled the problem of early pulmonary disease detection in chest radiography by developing and evaluating a sophisticated deep learning framework. Our goal was to improve diagnostic precision for conditions like cancer and pneumonia. To do this, we combined insights from current literature with a rigorous experimental protocol using a 5,000-image sample from the well-known NIH Chest X-ray dataset. A core component of our work was the implementation of a multi-stage preprocessing pipeline, featuring both lung segmentation and targeted contrast enhancement, designed to focus the model’s attention on relevant clinical features.

We assessed our models, which were …

Nanoseal-X: A Theoretical Design For A Phase-Aligned Multifunctional Wound Dressing Based On Chitosan–Ha–Nanoparticle Composite, Mohammed Mahdi Salman Ghadban

Al-Nisour Journal for Medical Sciences

Chronic wounds pose major clinical and economic challenges, especially in patients with comorbidities or impaired healing responses. This study presents NanoSeal-X™, a bioinspired multifunctional wound dressing engineered to address distinct biological demands at each phase of healing. The theoretical construct integrates a dual-layer matrix: a hyaluronic acid-based hydrogel embedded with silver nanoparticles, amoxicillin, and lidocaine, supported by a chitosan-based scaffold. Each component is strategically selected to provide hemostasis, infection control, tissue regeneration, and pain relief. This work presents a theoretical design framework to guide the development of multifunctional wound dressings. NanoSeal-X™ integrates pharmacological and bioactive components aligned with distinct healing …

Artificial Intelligence Approaches To Mitigating Network Congestion In Iot Systems, Aysar Hadi Oleiwi

Al-Esraa University College Journal for Engineering Sciences

The unprecedented explosion of Internet of Things (IOT) devices has elevated the requirements of the network infrastructures to unprecedented levels, causing severe congestion problems, especially in applications which demand low latency, high throughput, and real-time feedback. Static routing protocols, AQM, and TCP variants are some of the traditional mechanisms for congestion control that are unable to perform efficiently in dynamic and diverse IoT environments as they are reactive-based and inflexible. To this end, in this paper, we explore the promising ability of Artificial Intelligence (AI) methods such as Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL), and their combination …

Groundwater Quality Analyses For Irrigation Purposes In Salah Al-Din, Iraq: A Review, Noor A. Radhi, Dawood E. Sachit, Abdul-Sahib T. Al-Madhhachi

Al-Esraa University College Journal for Engineering Sciences

The focus of this study is the effect of the physical and chemical characteristics of groundwaters on plants and agricultural crops, following the last studies on this matter. The results underscore the necessity for groundwater treatment before its utilization in irrigation for sustainable agricultural farming. It is also possible to identify which crop type can be grown in well-watered land, according to the characteristics of irrigation water and the yield of each crop. The study also introduces some ideas about irrigation water quality parameters such as Electrical conductivity (EC), Total Dissolved Solids (TDS), pH, Chloride (Cl^–), Sodium (Na …

Examining Iot-Enhanced For Current Developments In Face Image Authentication (Fia) Methods And Their Drawbacks, Marwa Jamal Hadi, Emaan Ouudha Oraby

Al-Esraa University College Journal for Engineering Sciences

The quick development of IoT and facial image manipulation (FIM) algorithms, as well as the growth of their user-friendly applications, highlight the pressing need for manipulation detection methods. These techniques need to demonstrate how face photos have been altered and validate their legitimacy. The scientific community has recently taken notice of the phrase “DeepFakes” and methods for detecting them. Take note of the latest methods for identifying watermark-based face image modification as well. The important thing to remember is that every one of these methods has its own set of drawbacks. This study provides a brief introduction to face image …

Discriminative Regions And Adversarial Sensitivity In Cnn-Based Malware Image Classification, Anish Roy, Fabio Di Troia

Faculty Research, Scholarly, and Creative Activity

The escalating prevalence of malware poses a significant threat to digital infrastructure, demanding robust yet efficient detection methods. In this study, we evaluate multiple Convolutional Neural Network (CNN) architectures, including basic CNN, LeNet, AlexNet, GoogLeNet, and DenseNet, on a dataset of 11,000 malware images spanning 452 families. Our experiments demonstrate that CNN models can achieve reliable classification performance across both multiclass and binary tasks. However, we also uncover a critical weakness in that even minimal image perturbations, such as pixel modification lower than 1% of the total image pixels, drastically degrade accuracy and reveal CNNs’ fragility in adversarial settings. A …

Living In Disharmony: Women's Experiences Of Gendered Progress And Failure In New Harmony, Indiana, 1824-1827, Olivia Krall

Communal Societies

No abstract provided.

Anchored Ai: Intent-Extraction, Anchor-Weighted Generation, And Synthetic Collapse Prevention For Human-Aligned Ai, Joseph Jm Walker

Defensive Publications Series

This disclosure presents Anchored AI, a system and method for ensuring reliable, human-aligned artificial intelligence through the integration of anchored data partitioning, intent extraction, anchor-weighted generation, provenance embedding, and synthetic collapse prevention. Unlike conventional large language models that are trained indiscriminately on mixed or synthetic data, Anchored AI introduces a structured framework where datasets are partitioned and weighted (anchor, ephemeral, synthetic), user queries are processed through an intent extraction layer (embedding, semantic role labeling, ontology mapping), and responses are generated with explicit anchor weighting and citation from authoritative corpora. Outputs are embedded with cryptographic provenance manifests (e.g., C2PA/PROV) …

Real-Time Detection And Indication Of Ai-Generated Content In A Web Browser, Abhay Prakash

Defensive Publications Series

The proliferation of realistic, AI-generated content creates a significant risk of misinformation, as users often cannot distinguish it from human-created work. Existing detection tools are typically manual (i.e., copy content from one area to paste in a tool), disruptive for the user, and limited to a single content type. This disclosure describes a method integrated directly into a web browser for detection and visual indication of AI-generated content that can operate in real-time. When a user navigates to a web page, a content parsing module analyzes the Document Object Model (DOM). A multi-modal detection engine then scans content, such as …