Digital Commons Network^™

Biomechanics Of The Ribs During Respiration At The Costotransverse Joint: An In-Vivo Retrospective Pilot Study, Michael Maninang, Greg Almeter, Erik Pearson, Arvie Vitente

Philippine Journal of Physical Therapy

Introduction: Scarce in‑vivo data describe how ribs move at the costotransverse joints during quiet breathing—knowledge critical to thoracic biomechanics and pain mechanisms. This pilot study uses four‑dimensional computed tomography (4D‑CT) to quantify, for the first time, the three‑dimensional magnitude and direction of rib motion at these joints throughout quiet respiration.

Methods: This retrospective, descriptive pilot study analyzed ten 4D‑CT scans obtained from patients undergoing thoracic imaging prior to radiation therapy. End‑expiration and end‑inspiration phases were aligned with a demons deformable‑registration algorithm. For each costotransverse joint, the three‑dimensional displacement vector, its absolute magnitude, and its components along the lateral–medial (L–M), …

Conflicted Assumptions: India's Medical Value Travel Marketing Messages, Irving Stackpole

Visions in Leisure and Business

The chronology of the Indian government’s marketing communications rhetoric about medical services exports (commonly referred to as “medical tourism”) from 1990 to 2024 reveals a clear evolution from basic economic liberalization to global leadership positioning. These marketing messages have progressed through distinct phases, consistently emphasizing cost advantages, quality claims, and international competitiveness. It has also become increasingly sophisticated in its use of branding, digital platforms, and systematic promotional frameworks. The evolution from simple "cost advantage" claims to comprehensive "medical hub of the world" positioning demonstrates an evolving promotional narrative, growing ambition, and overestimation of value and demand. This article reviews …

Challenges And Opportunities For India As Well As Wellness Destinations, Michael Wallace

Visions in Leisure and Business

India has emerged as a globally recognized wellness destination, grounded in 5,000 years of traditional healing systems such as Ayurveda, Yoga, Unani, Siddha, and Naturopathy. Supported by rich cultural heritage, diverse landscapes, and a reputation for spiritual authenticity, India continues to attract international wellness travellers seeking holistic, transformative experiences. This article examines the opportunities that strengthen India’s competitive position—such as government-backed initiatives (including the AYUSH Visa), expansion of high-end wellness resorts, and rising global interest in sustainability and authentic cultural immersion—as well as the challenges that threaten its long-term leadership in the global wellness economy.

Drawing on generational analysis, the …

Developing And Implementing A Primary Source Literacy Case Scenario For The Undergraduate Business Classroom, Annette Bochenek, Megan Troyer

Libraries Faculty and Staff Scholarship and Research

This article discusses the development and implementation of a case-based learning scenario activity intended to enhance primary source literacy among undergraduate business students. The activity was delivered in the context of a large Midwestern university’s undergraduate business course. This case is based on the ACRL RBMS-SAA Guidelines for Primary Source Literacy and gives students an opportunity to use digitized primary archival sources as part of the research process in connection with a modern business-related scenario in which they can apply primary source literacy skills. This guided activity also explores affective experiences as they occurred in student responses to this activity …

Is It Rape Or Consent? College Men Just Don’T Know, Stephanie A. Navarro Silvera, Eva S. S. Goldfarb, Amanda S. Birnbaum, Lisa D. Lieberman

Department of Public Health Scholarship and Creative Works

Introduction: Women and LGBTQ+ undergraduates face higher rates of sexual assault and rape compared to cisgender male peers—the overwhelming majority of perpetrators. Federal policies have aimed to curb campus sexual violence, yet questions remain about the efficacy of consent education, particularly among cisgender heterosexual men. Methods: This study surveyed 1567 undergraduate students at a large Northeastern public university in 2017 and 2022. Responses to a nine-item consent scale were analyzed by gender, sexuality, and demographic factors. Results: Cisgender heterosexual (cis-het) men had poorer understanding of consent compared to women and LGBTQ+ students, both in 2017 and 2022. Cis-het men’s consent …

Factors Influencing The Success Of Student Veterans In Higher Education

Faculty Publications and Presentations

A case study was conducted at a private institution of higher education to gain a deeper understanding of the factors that support student veterans, a nontraditional student demographic in a private institution of higher education. The article explains the interplay and relationship between what nontraditional students bring to the academic experience, the role of educators, and factors contributing to or detracting from their success in higher education. Analysis of key issues related to combat student veterans in higher education revealed common themes and contextual information from which the lessons learned were developed. The results of the study indicate that the …

Optimizing Runtime Memory Size Of Smith-Waterman Algorithm For Long Sequences Alignment, Imad Qasim Habeeb, Zeyad Qasim Habeeb, Hanan Najm Abdulkhudhur

Baghdad Science Journal

Sequence alignment is used to help researchers see areas of similarity between two sequences. Hence, it is a key component of many applications, such as DNA matching, plagiarism detection, and spelling correction. The Smith-Waterman algorithm (SWA) is widely used to calculate the sequence alignment because it is guaranteed to find an optimal solution. This algorithm creates a matrix of the size n * m where the symbols n, m refers to the lengths of two sequences needed to be aligned. Therefore, it requires impersonal hardware with a large amount of main memory at runtime to align long sequences. Furthermore, it …

Enhanced Network Anomaly Detection Using Hybrid Deep Learning Network Based On Interactive Threshold, Maythem S. Derweesh, Sundos A. Hameed Alazawi, Anwar H. Al-Saleh

Baghdad Science Journal

In recent years, the growing use of the internet by both governments and private companies has led to a major increase in individual online activity. This expand lead to make the systems more effected to the threats and cyber attacks, and need more strong solutions to cyber security. Recently, deep learning (DL) and machine learning (ML) have become powerful tools in the cybersecurity field, especially for tasks such as detecting malware and filtering spam. This study present new multi layer method to detect the abnormal activities by busing advanced deep learning techniques. The proposed system work in tow main steps. …

Stereotactic Body Radiation Therapy In Patients With Unresectable Hepatocellular Carcinoma And Portal Vein Tumor Thrombosis, Gaganpreet Singh, Ranjit Singh, Sunil Taneja, Madhumita Premkumar, Naveen Kalra, Arka De, Harish Bhujade, Nipun Verma, Ajay Duseja, Rajesh Gupta

Faculty, Staff and Students Publications

Background: About 35%-50% of patients with hepatocellular cancer (HCC) present with portal venous tumor thrombosis (PVTT). Stereotactic body radiation therapy (SBRT) offers a promising approach for locoregional treatment in patients with HCC with PVTT. This study aimed to report the clinical characteristics and early outcomes of patients with unresectable HCC and PVTT treated with SBRT.

Aim: To report the clinical characteristics and early outcomes of patients with unresectable HCC and PVTT treated with SBRT.

Methods: This retrospective, single-institution study included adult HCC patients with PVTT treated between March 2020 and December 2023. Eligibility criteria included Child-Pugh A-B liver function, serum …

A Spatiotemporal Model Of Cxcl10 As A Master Regulator Of Immune Evasion And Metastasis In Osteosarcoma

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, …

Amino Acid Signaling In Skeletal Muscle Is Blunted By Prematurity In A Piglet Model, Rosemarie D Parada, Mahmoud A Mohammad, Marta L Fiorotto, Teresa A Davis

Faculty, Staff and Students Publications

Background: Preterm (PT) infants are at increased risk for reduced postnatal lean mass accretion. We established that the feeding-induced stimulation of protein synthesis in skeletal muscle is blunted in piglets born PT compared with those born at term.

Objectives: We evaluated the extent to which key components of the amino acid-sensing pathways that regulate mechanistic target of rapamycin complex 1 (mTORC1) activation contribute to anabolic resistance in skeletal muscle of piglets born PT compared with those born term.

Methods: Piglets delivered by cesarean section 10 d PT (n = 23) or at term (n = 22) were administered total parenteral …

Comparing The Effectiveness Of Eggshell Spectra From Laser-Induced Break-Down Spectroscopy And Near-Infrared Spectroscopy Using Principal Compo-Nent Analysis To Determine The Authenticity Of Organic Eggs, Ahmad Qusthalani, Rara Mitaphonna, Muliadi Ramli, Rajibussalim Rajibussalim, Kurnia Lahna, Nasrullah Zaini, Nasrullah Idris

Makara Journal of Science

This study aimed to explore the potential of modern spectroscopy in the authentication of organic and non-organic chicken eggs using near-infrared spectroscopy (NIRS) and laser-induced breakdown spectroscopy (LIBS) spectra. A total of 175 eggs were analyzed, which were grouped into seven categories based on the source of feed given: 100% organic, 100% non-organic, 75% organic, 75% non-organic, 50% organic, free-range chickens, and eggs obtained from the local traditional market. Each group consisted of 25 eggs. NIRS spectra were recorded in the wavelength range of 350–2500 nm, whereas LIBS spectra were recorded in the range of 200–900 nm. A total of …

Information System To Elucidate Dna Sequencing Based On Machine And Deep Learning Techniques, Suhiar Mohammed Zeki Abd Alsammed

Baghdad Science Journal

The elucidation of DNA sequencing provides great importance in increasing the comprehension of organisms' genomic functions. However, the investigation of concealed structural information preserved within Deoxyribonucleic Acid (DNA) sequencing represents an outstanding challenge. Recently, machine and deep learning have become the techniques of preference for various tasks of genomics modeling, involving the prediction of genetic variation influence on the mechanisms of gene regulation like DNA receptivity and splicing. Therefore, this paper presented an information system for elucidating DNA sequencing data using diverse machine and deep learning techniques. In this system, two encoding methods are utilized for modifying the DNA sequencing …

Intrusion Detection System For Iot/Cloud Networks Using Federated Learning And Lightweight Cryptography, Ayad Al-Adhami, Rajaa K. Hasoun, Sanaa Ali Jabber, Soukaena H. Hashem

Baghdad Science Journal

This study presents a secure solution that utilizes lightweight cryptography (LWC) and intrusion detection systems (IDS) to safeguard cloud networks and Internet of Things (IoT) from cyberattacks. Federated Learning (FL) is suggested for identifying zero-attacks to guarantee the security of different local IoT networks connected to global server of cloud. The proposed federated learning utilizing data from all local IoT network devices to create a generalized Intrusion Detection System (IDS). Local IoT networks consist of clients that communicate updates to their parameters with a central server located in the global cloud. This server integrates these changes and deploys an improved …

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 …

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

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.

Voluntary Aspects Of Involuntary Conversions, Eli Gerver

Tax Adviser

No abstract provided.

Tax Clinic, William L. Raby

Tax Adviser

No abstract provided.

(R2141) Analysis Of Map^I_1 , Ph^(Oa)_2 / Ph^I_1 , Ph^O_2 / 1 Retrial Inventory Queue With Two Way Communication, (S, S) Replenishment Policy, Feedback, Bernoulli Vacation And Impatient Customers, G. Ayyappan, V. Ganesan

Applications and Applied Mathematics: An International Journal (AAM)

This work discusses about the topic as the two-way communication retrial inventory queue model, the (s, S) replenishment policy, immediate feedback, Bernoulli vacations, and impatient customers. The assumption we make is that arrivals follow a Markovian arrival process, and the server provides phase type services. When the server is idle and there is a positive inventory, an arriving customer immediately receives service. If not, arriving customers goes to orbit with infinite capacity. Only in the account of positive inventory the server renders rapid feedback for incoming call arrivals, otherwise customer departs. Outgoing calls will only be made by the server …

(R2152) New Bivariate Type-2 Gumbel Distribution Based On The Farlie-Gumbel-Morgenstern Copula: Properties And Its Application In Survival Analysis, Muneeb Javed, Said Farooq Shah, Muhammad Osama, Muhammad Atif, Muhammad Farooq

Applications and Applied Mathematics: An International Journal (AAM)

We introduce a new bivariate probability distribution, termed the Bivariate FGM Type-2 Gumbel Distribution, constructed by combining the Farlie–Gumbel–Morgenstern (FGM) copula with the Type-2 Gumbel marginal distributions. This proposed distribution provides a flexible framework for modeling bivariate data and offers a viable alternative to several existing bivariate distributions, especially in scenarios where capturing dependence between variables is crucial. The theoretical properties of the distribution are thoroughly explored. We derive the marginal and conditional distributions, conditional expectations, moment generating function, and product moments. Procedures for random number generation from the distribution are discussed. Reliability-based characteristics, such as the survival function and …

(R2150) Impact Of Specialist Predator Harvesting On The Stability Of A Three-Species Food Chain Model With A Generalist Predator, S. Ganga, S. Vijaya

Applications and Applied Mathematics: An International Journal (AAM)

In this study, the stability of a three-species food chain model comprising a prey, an intermediate specialist predator, and a top predator exhibiting generalist behavior is examined, with harvesting applied to the intermediate predator. The main objective is to investigate how variations in the harvesting rate influence system stability and the coexistence of all three species. The positivity, boundedness, and equilibrium points of the model are analyzed to ensure biological feasibility. The equilibrium point involving the prey and the top predator satisfies the criteria for both local and global asymptotic stability. The coexistence equilibrium point attains local asymptotic stability based …

Tinig-Karakter Sa Mga Pader: Graffiti, Bandalismo, At Mga Banyulatin Sa Piling Panitikang Filipino (Character-Voices On Walls: Graffiti, Vandalism, And Latrinalia In Select Philippine Literature), Harvey James G. Castillo

Filipino Faculty Publications

Makailang beses lilitaw sa tradisyonal na midya at social media sa nagdaang kalahating dekada ang ilang pagtutol, pagbabawal, at pandidiri sa mga graffiti at nagsusulat ng mga graffiti mula sa parehong mamamayan at maykapangyarihan. Bunsod ng paggamit ng mga militanteng grupo sa graffiti bilang anyong pamprotesta sa Kalakhang Maynila, tatagurian ng nakararami ang gayong mga sulatin bilang bandalismo o paninira lamang sa pampubliko o pribadong pagmamay-ari. Taliwas ito sa balintunang paggamit din ng estado at merkado sa graffiti, o estetika ng graffiti, sa pamamahala ng espasyo o pagbebenta ng produkto. Sa ganang ito, bumabaling ang pag-aaral sa panitikan bilang lunan …

Arthur Coffin's Robinson Jeffers: Poet Of Inhumanism, Terry Beers

Jeffers Studies

No abstract provided.

Cover Vol. 53 Issue 4, ศูนย์นวัตกรรมทางการศึกษา สื่อสิ่งพิมพ์ และสื่อออนไลน์ จุฬาฯ

Journal of Education Studies

No abstract provided.