Digital Commons Network^™

Theorizing ‘Magwangala’ As An Unorthodox Livelihood In Geita, Tanzania, Albert Tibaijuka

Tanzania Journal of Sociology

The increasing contestation of Magwangala as a livelihood in Geita, Tanzania, invokes a scholarly desire to further the constitution of the term beyond its traditional constructs. Following the present framing of magwangala as a disruptive, hazardous, contentious, and risky engagement; including the sanctions against it and the disparaging remarks upsurging the oppression of its actors, an attempt to advance its comprehension is of paramount importance. Given the nature of Magwangala business and the evident ramifications, its contestation is inevitable and unlikely to yield a uniform understanding. This paper, therefore, draws from the grueling life experiences endured by magwangala dealers in …

Front Matter, Arthit Jiamrattanyoo

Journal of Letters

No abstract provided.

Folding Architecture “Origami Art-Inspired” Applicability To Sustainable Architecture- Biomuseo As A Case Study, Vitta A. Ibrahim

Mansoura Engineering Journal

The growing need for sustainable architectural solutions in the contemporary era underscores the necessity for interactive architectural applications that can adapt to changing requirements. In architecture, folding systems refer to three-dimensional, foldable structural forms that create unique spatial configurations and possess a wide range of capabilities. Drawing inspiration from origami techniques, this study emphasizes the role of folding systems in generating innovative spatial designs. The research problem arises from the fact that the built environment is a significant contributor to greenhouse gas emissions and energy consumption, necessitating the implementation of smart solutions. The goal of this study is to identify …

Developing A Vietnamese Text Summarization Large Language Model On Limited Hardware, Tin Pho

Master's Theses

Text summarization models have achieved significant growth during the last few years because of major Large Language Model (LLM) technological advancements. The application of LLMs are widely used in news distribution (TL;DR news), translation tools (DeepL Translate), or virtual assistants (ChatGPT, DeepSeek, Claude, etc.). However, the progress has not yet reached all languages equally. The Vietnamese language is used by more than 90 million people, but the language is not as highly developed for LLM as it has many homophones, five different tones that affect meaning of words, and irregular grammar compared to other languages (e.g. English, Spanish, etc.). Also, …

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 …

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 …

A Method Of Heuristic Human-Llm Collaborative Source Search, Yi Chen, Sihang Qiu, Zhengqiu Zhu, Yatai Ji, Yong Zhao, Rusheng Ju

Journal of System Simulation

Abstract: Traditional source search algorithms are prone to local optimization, and source search methods combining crowdsourcing and human-AI collaboration suffer from low cost-efficiency due to human intervention. In this study, we proposed a lightweight human-AI collaboration framework that utilized multi-modal large language models (MLLMs) to achieve visual-language conversion, combined chain-of-thought (CoT) reasoning to optimize decision-making, and constructed a heuristic strategy that incorporated probability distribution filtering and a balance between exploitation and exploration. The effectiveness of the framework was verified by experiments. The human-AI alignment heuristic strategy with large language model adaptation design provides a new idea to reduce manual …

Read Well, Read Right: Developing Thai Reading Skills Of Third-Grade Students Through Phonics-Based Instruction Combined With Reading Skill Exercises, Wirachai Longkaeo, Sitah Thayati

Journal of Education Studies

This pre-experimental research aimed to 1) examine the effects of phonics-based instruction combined with reading skill exercises on Thai reading skills of third-grade students, and 2) investigate the learning process and factors contributing to the success of this instructional approach. A one-group pretest-posttest was employed. The target group consisted of 15 third-grade students from a private school in Chiang Mai Province, selected through purposive sampling based on their Thai reading assessment scores, identifying students with beginning-level reading foundations. The intervention lasted 10 hours. Research instruments included 1) a Thai reading skill test, and 2) observation and student reflection form. Quantitative …

Responsible Ai For Text Classification: A Neutrosophic Approach Combining Classical Models And Bert, Nabil M. Abdel-Aziz, Mahmoud Ibrahim

Neutrosophic Sets and Systems

No abstract provided.

New Development Of The Neutrosophic Fuzzy Soft Set Framework Using Several Aggregation Operator Techniques, Ahmad A. Abubaker, Abdallah Al-Husban, R. Uma

Neutrosophic Sets and Systems

No abstract provided.

On The Direct Product Of Cubic Neutrosophic Subrings, B. Anitha, M. Lavanya

Neutrosophic Sets and Systems

No abstract provided.

Sustainability Analysis In Agriculture Using Linguistic Pythagorean Neutrosophic Number Through Einstein Aggregation Operators, S. Annadurai, R. Sundareswaran, M. Mohanalakshmi

Neutrosophic Sets and Systems

No abstract provided.

Complex Pentapartitioned Neutrosophic Aggregation Operators With An Application In The Selection Of Millets For Cultivation, Porchudar T, Ajay D

Neutrosophic Sets and Systems

No abstract provided.

Reliability Assessment Of Refined Single-Valued Neutrosophic Data With Application In Multi-Criteria Decision-Making, Ankita Ankita, Deepak Kumar

Neutrosophic Sets and Systems

No abstract provided.

A Comparative Study Of Similarity Measures: Socio-Economic Decision Making In India Using Neutrosophic Binary Sets, S.S. Surekha, M. Radha, M.Thulasi Devi

Neutrosophic Sets and Systems

No abstract provided.

Pythagorean Neutrosophic Fuzzy Em-Swara-Topsis Approach For Green Supply Selection, Sudip Kumar Gorey, Sreejata Sen Sarma, Avijit De

Neutrosophic Sets and Systems

No abstract provided.

Reliability Estimation Using Interval-Valued Neutrosophic Number For Multi-Criteria Decision Making Problems, Supriya Supriya, Suneel Kumar

Neutrosophic Sets and Systems

No abstract provided.

An Intelligent Soft Computing-Oriented Strategy For Managing Global Sustainability Issues In Dynamic Environments, Walaa M. Sabry

Neutrosophic Sets and Systems

No abstract provided.

Neutrosophic Sets And Systems, Vol. 94, 2025, Florentin Smarandache, Mohamed Abdel-Basset, Maikel. Leyva Vazquez

Neutrosophic Sets and Systems

No abstract provided.

The Tax Adviser, Volume 5, Number 10, October 1974, American Institute Of Certified Public Accountants

Tax Adviser

No abstract provided.

Demolition Of Leased Property: A Proposal, William L. Raby

Tax Adviser

No abstract provided.

A Hybrid Roberta–Rule-Based Aspect-Based Sentiment Analysis Model For Hospital Patient Reviews: Development, Validation, And Case Application In India, Akash Gajanan Prabhune, Karpaga Priya P S, Vinay R Sri Hari, Akhila Rayampalli, Ankur S Thakur, Ebin M Yohannan

Journal of Health Research

Background: Patient Online Reviews (PORs) provide real-time, unsolicited feedback that complements traditional satisfaction surveys. However, existing sentiment analysis tools often handle only monolingual data, broad sentiment categories, or lack review authenticity checks. This study develops a hybrid Aspect-Based Sentiment Analysis (ABSA) model combining RoBERTa with a rule-based aspect detection layer to extract fine-grained sentiment insights from Indian hospital reviews.

Methods: We curated and manually annotated 4,862 Google Maps reviews from 25 Indian hospitals across six aspects—Doctor Behavior, Staff Behavior, Cleanliness, Facility Experience, Cost, and Waiting Time. Though the scheme included positive/negative/neutral labels, the final model used binary polarity (positive vs. …

Prediction Of Lung Vital Capacity Value From Thoracoabdominal Expansion In Young Adults, Aung Myo Htun, Aung Aung Nwe, Chatchaya Jaimanee, Thiwaphon Chatprem, Saowanee Nakmaroeng, Chatchai Phimphasak

Journal of Health Research

Background: Vital capacity (VC) is a fundamental indicator of pulmonary health, but its routine assessment often depends on spirometry devices that may be unavailable (i.e. because of access, cost) in many clinical or community settings. In contrast, lower costal (LC) and upper abdominal (AB) expansions are simple, equipment-free methods commonly used in physiotherapy.

Method: This cross-sectional study was aimed at developing prediction equations for VC using LC or upper AB expansion alongside demographic and anthropometric variables. The study involved 116 healthy nonsmokers (53 male and 63 female individuals) aged 18–39 years. VC was measured via spirometry using a …

Lost In Translation: How Health Literacy Impacts Pharmaceutical Transactions From Healthcare Professionals To Patients, Grace Nwaege

2025 Fall Honors Capstones Projects - Archive

Health literacy is a core element of public health, involving the ability to access, understand, evaluate, and use information to maintain well-being. In the United States, it aligns with an average reading level of about an eighth grader, which continues to decline over time. As pharmacists serve as the final point of contact in most outpatient settings, their ability to communicate effectively at this literacy level is crucial. This study examines how pharmacies address this challenge using qualitative methods, including health literacy assessments of patient consent forms and stakeholder interviews with pharmacy technicians about resource use. Findings show materials higher …

Teachers' Perspectives On Humane Education Implementation, Rebecca Ann Bartaway

Walden Dissertations and Doctoral Studies

Humane education (HE) encompasses multiple concepts, including animal ethics, ecological environment, and social justice. The problem prompting this study was that individuals who have graduated from a higher education HE program face challenges in successfully integrating HE into their K–12 classrooms. Grounded by Weil's solutionary approach to HE, the purpose of this basic qualitative study was to explore the teaching experiences of individuals who graduated from a higher education HE program and successfully integrated HE into their classrooms. Participants were purposefully sampled from a small population of educators who completed a U.S. degree or certificate program in HE and successfully …

Leadership Strategies For Capturing And Transferring The Knowledge Of Experienced Workers In Canadian Higher Education Organizations, Dean Allan Bulloch

Walden Dissertations and Doctoral Studies

Higher education institutions face a risk of knowledge loss when they fail to implement strategies for transferring knowledge from experienced to less experienced employees. Canadian higher education managers are particularly concerned about the adverse impact of losing explicit and valuable tacit knowledge. Grounded in the socialization, externalization, combination, and internalization model, this qualitative pragmatic inquiry study identified and explored successful strategies employed by eight Canadian higher education managers to capture and transfer knowledge from experienced employees, thereby sustaining performance. Data were collected through semistructured interviews and a review of public documents, including strategic plans, annual reports, and accountability statements. Through …

Resting Autonomic Activity, Emotional Reactivity, And Executive Function In Preschool-Age Children Who Stutter, Dana J. Meyerson

Theses - ALL

Purpose: This study investigated whether preschool-aged children who stutter (CWS) differ from children who do not stutter (CWNS) in autonomic physiological reactivity and regulation during a phrase-repetition task paired with affective image-viewing conditions. Additionally, the study investigated whether individual differences in executive function skills, specifically inhibitory control, predicted variability in physiological responses across participants. Methods: Forty-three preschool-aged children (18 CWS, 25 CWNS) completed three laboratory visits that involved collection of electrocardiogram (ECG) recordings at rest and during a phrase-repetition task paired with visual stimuli of either neutral (fixation cross) or negative (IAPS) emotional valence. Inhibitory control was assessed using the …

Intersectionality, Epistemic Injustice, And Silencing: The Operationalization And Reification Of Intersectionality In Academic Research And Institutional Practices, Emery Lockwood

Theses - ALL

Intersectionality is a powerful analytic tool that can be used to better understand the role that oppression plays in society and how it shapes the way people affected by multiple systems of oppression interact with society. Recently, the unit of analysis for intersectionality has started to shift from intersecting systems of oppression to overlapping identities, which has changed intersectionality from being a tool used to analyze systemic oppression to individual’s experiences. This work explores the implications this shift has on academic research and the practice of several disciplines. Using a lens of epistemic injustice through theories of hermeneutical bastardization (Drury, …

Intercultural Communicative Competence (Icc) Among Efl Learners And Teachers And The Potential For Ai As A Guide, Zeynep Saka

Theses - ALL

This study investigates the Intercultural Communicative Competence (ICC) of English as a Foreign Language (EFL) students and instructors in Turkey by examining both perceived and observed aspects of ICC, as well as the potential role of Artificial Intelligence (AI) in supporting intercultural communicative competence education. Guided by Byram’s (1997) model and informed by Speech Act Theory (Searle, 1969) and Politeness Theory (Brown & Levinson, 1987), the study adopted a mixed-methods design including 89 students and 46 instructors from nine state universities. Data were collected through a 25-item ICC questionnaire and a series of Discourse Completion Tasks (DCTs) completed under self-guided …