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A Spatiotemporal Model Of Cxcl10 As A Master Regulator Of Immune Evasion And Metastasis In Osteosarcoma, Benjamin B Gyau, Tsz-Kwong Man

Faculty, Staff and Students Publications

The C-X-C motif chemokine ligand 10 (CXCL10) is implicated in the progression of osteosarcoma (OS), the most aggressive pediatric bone malignancy. However, its role often presents a profound clinical paradox: although high circulating levels are strongly linked to poor prognosis, its canonical function is to recruit anti-tumor immune cells. This review unravels these contrasting roles by proposing a novel spatiotemporal model. We argue that in the early stages, immune-evading OS cells initiate the formation of a pre-metastatic niche (PMN) in the lungs, creating a localized inflammatory environment that becomes the primary source of elevated circulating CXCL10. As the disease progresses, …

Supply Chain Network Based On Blockchain And Intelligent Agent, Hiba Hamdi Hassan, Rana Fareed Ghani

Journal of Soft Computing and Computer Applications

In agricultural supply chains, the complexity and indeterminacy pose serious challenges to traceability, reliability and confidence today. This challenge is especially acute in the olive oil industry where adulteration, wrong labeling, and uneven chemical quality threaten the actual well-being of producers and consumers. The project aims to design a blockchain-based hybrid architecture with intelligent agents (FNNs) to enhance transparency, reliability and responsiveness in the olive oil supply chain. The Blockchain component enables a completely open, tamper-proof ledger to be built in a very decentralized way and preserved as an archive of every account of its transactions. The intelligent agents contribute …

Intelligent Extensible Markup Language Encryption Using Type-2 Fuzzy Logic, Faiez Musa Lahmood Alrufaye, Seham Ahmed Hashem

Journal of Soft Computing and Computer Applications

Financial and commercial institutions increasingly rely on Extensible Markup Language (XML) files as a standard means of exchanging data. However, this extensive use has created serious security challenges due to the fact that these files contain sensitive information such as bank card numbers and expiration dates. Relying on traditional full file encryption methods achieves a high degree of security, but it causes problems related to the large file sizes that consume memory and the long encryption and decryption times, which reduces the efficiency of systems when dealing with a large number of daily transactions. Methods based on Type-1 Fuzzy Logic …

Enhanced Generative Convolutional Networks: A Hybrid Algorithm For Refinement Video Classification, Dalal Thair Mahjoub, Hala Bahjat Abdulwahab, Kesra Nermend

Journal of Soft Computing and Computer Applications

Video classification is a vital area of research due to the growing volume of video content in various applications. Accurate category across various resolutions poses challenges, which include adapting to scaling, resizing, and compression. Therefore, this paper introduces an innovative Generative Convolutional Network (GCN) set of rules tailored for multi-resolution video classes. The proposed GCN model utilizes Convolutional Neural Networks (CNNs) combined with generative modeling to enhance the extraction of functions across varying video resolutions, which is crucial for maintaining class robustness in the face of common video adjustments, such as scaling, resizing, and compression. In contrast, traditional fashions frequently …

Review Of Video Steganography By Using Deep Learning Methods: Datasets, Techniques, And Evaluations, Noor Fahem Sahib, Soukaena Hassan Hashem, Ekhlas Falih Naser

Journal of Soft Computing and Computer Applications

The growing prevalence of cyber threats, including fraud and attacks, has intensified the demand for secure methods of safeguarding confidential information exchanged between users. As telecommunications increasingly rely on multimedia data, video steganography has become a prominent technique to address these concerns. By embedding sensitive data within video files, this approach enhances protection against unauthorized access and common internet-based attacks, offering a robust layer of security in an era of escalating digital risks. With the introduction of Deep Learning (DL) steganography methods recently, video steganography can be defined as a rapidly developing subject within information security. This study provides a …

Real-Time Hand Gesture Recognition System For Abductees Rescue Using Deep Learning Techniques, Aws Saood Mohamed, Nidaa Flaih Hassan, Abeer Salim Jamil

Journal of Soft Computing and Computer Applications

Hand gesture recognition is a challenging problem in computer vision, particularly in terms of security surveillance applications. This study presents the first efficient system for abduction-related hand gesture real-time detection based on deep learning. The most critical problem is to detect and recognize hand gestures in real surveillance conditions and to be computationally effective for real-time multi-hand tracking in various lighting situations while allowing reliable surveillance beyond the 1–4 meters limitation. The proposed system consists of three main parts: The adaptive hand tracking algorithm, which has been used to create the Abductees-Rescue dataset. Introduced pose estimation You Only Look Once …

Hate Speech Detection Using Optimized Feature Representation Via Spiral-Grey Wolf Optimizer-Based Machine Learning Approaches, Noor S. Farhan, Matheel E. Abdulmunim, Hasanen S. Abdullah

Journal of Soft Computing and Computer Applications

Hate speech detection is crucial as social media diversifies. This research present a lightweight, scalable system using traditional machine learning methods along with a new approach called Spiral-Grey Wolf Optimizer (S-GWO).

S-GWO effectively selects key features that consider both meaning and content from the Term Frequency Inverse Document Frequency (TF-IDF) space, leading to high-quality representation without excessive computing power.

The propoused system was tested on Arabic and another English datasets using six machine learning methods: SVM, RF, LR, KNN, NB, and SGD. It achieved 92% accuracy and F1 score on the Arabic dataset, while reaching 100% accuracy on the English …

The Tax Adviser, Volume 8, Number 6, June 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Author Index, 12 Months Ended May 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Subject Index, 12 Months Ended May 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, E. S. Linett

Tax Adviser

No abstract provided.

Washington Report: Responsibilities Statement No. 10, Thomas R. Hanley

Tax Adviser

No abstract provided.

Spotlight, Robert F. Manning

Tax Adviser

No abstract provided.

Crossword: Words Of Change, Josh Grauer

Tax Adviser

No abstract provided.

Tax Clinic, Paul Farber

Tax Adviser

No abstract provided.

’76 Act Locks The Door On Many Office-In-Home Deductions, James E. Smith

Tax Adviser

No abstract provided.

Transferring Patents And Know-How, Steven J. Cohen, John C. Suttle

Tax Adviser

No abstract provided.

Estate Planning: Significant Recent Developments Concerning Estate Planning (Part Iii) The, Byrle M. Abbin, Robert H. Daskal, David K. Carlson

Tax Adviser

No abstract provided.

Viewpoint: Managing The Erisa Requalification Crunch, Alvin D. Lurie

Tax Adviser

No abstract provided.

Look At The ’76 Act’S Effect On The Oil And Gas Industry, Arthur O. Wilkonson

Tax Adviser

No abstract provided.

The Tax Adviser, Volume 8, Number 4, April 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Author Index, 12 Months Ended March 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Subject Index, 12 Months Ended April 1977, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Tax Trends, E. S. Linett

Tax Adviser

No abstract provided.

Spotlight, Robert F. Manning

Tax Adviser

No abstract provided.

Tax Clinic, Peter Elder

Tax Adviser

No abstract provided.

Choosing A Settlement Option Under A Defined Contribution Plan, W. Eugene Seago, Wayne E. Leininger

Tax Adviser

No abstract provided.

Estate Planning: Significant Recent Developments Concerning Estate Planning (Part I), Byrle M. Abbin, Robert H. Daskal, David K. Carlson

Tax Adviser

No abstract provided.

Reits: Tax Planning Under The ’76 Act, Burton M. Mirsky, Alan Yates

Tax Adviser

No abstract provided.

The Tax Adviser, Volume 5, Number 12, December 1974, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.