Antropometri Tangan Penduduk Kota Ambon Sebagai Dasar Perancangan Ergonomis, Puan Maryam Leaongso, Wilma Latuny, Aminah Soleman

National Journal of Occupational Health and Safety

The limited availability of hand anthropometric data for the Indonesian population, particularly for the residents of Ambon City, may affect the accuracy of designing ergonomic products, work equipment, and public facilities. This study aimed to measure and analyze 25 hand dimensions of the Ambon City population based on gender and age, and to compare the measurement results with national anthropometric data. This research employed a quantitative method with a descriptive design through an anthropometric approach. Data were collected directly from 200 respondents, consisting of 100 females (aged 18–40 years) and 100 males (aged 20–40 years). Data analysis was performed using …

Slovenian-Assisted Slate Integrated Infrastructure Development Project (Siidp) And Solid-Waste-Management System, Musa Zakari

Hatfield Graduate Journal of Public Affairs

The study was assessed the Slovenian Assisted Slate Integrated Infrastructure Development Project (SIIDP) on its ability to transform the solid-waste-management system. Yet, in a bid to tackle the intractable waste problem in Nigeria, It emphasized the need to have sustainable policy structures, creative infrastructural and technical cross-border cooperation. The research employed a mixed-method design, which included documentary analysis and a survey. Quantitative data were analyzed using multiple linear regression analysis (SPSS version 27), while qualitative insights were analyzed thematically. Their regression analysis found that technology transfer (B = 0.284, p = 0.000), capacity building (B = 0.256, p = 0.001), …

From Policy To Practice: Analyzing Inclusive Education Strategies In Nigerian Internally Displaced Persons (Idps) Camps, Chukwuyem Joel Arimie, Williams Okotie Dr

Hatfield Graduate Journal of Public Affairs

Through high-quality education delivery, inclusive education indicates the pursuit of social justice for all marginalized societies. The study examines how the Edo camp's internally displaced people are impacted by inclusive education policies. Relevant policy and regulatory frameworks pertaining to inclusive education in Nigeria were examined in the research. Because the Hope for the Needy Foundation provides for the educational needs of the children in the camp, interview responses suggest that despite the policy frameworks, strategies for the effective execution of the policy in the IDP camp have not yet been put in place. The article makes the case that the …

Effectiveness Of Organic Amendments In Enriching Nitrogen In Compost Produced From Organic Fractions Of Market Waste Generated In Dar Es Salaam, Tanzania, Amani Bilula, Ally Mahadhy, Anthony Manoni Mshandete, Amelia Kivaisi

Tanzania Journal of Science

Low nitrogen (N) content remains a key limitation of compost derived from urban organic waste. This study evaluated the effectiveness of selected plant-based organic amendments in enhancing nitrogen content and improving compost quality. Four plant- based organic amendments, Leucaena leucocephala (BN01), Commelina benghalensis (BN02), Morus alba (BN03), and Helianthus annuus (sunflower) cake (BN04), were incorporated into market waste compost at ratios of 1:0.06:0.04, 1:0.06:0.25, and 1:0.06:0.5 (organic waste: sawdust: amendment). Composting was conducted using a 4 × 3 factorial design with three replicates per treatment (n = 36). Temperature, moisture, and pH were monitored throughout the composting period. Total nitrogen, …

Social Determinants And Policy Implications Of Lived Experiences Of Multidimensional Poverty In Nigeria, Oluwatayo David Aduloju

Walden Dissertations and Doctoral Studies

Poverty disproportionately affects rural populations, women, and children and is shaped by structural inequalities in access to resources and opportunities, reinforcing cycles of disadvantage. Although existing literature provides extensive quantitative evidence on multidimensional poverty, there remains a limited qualitative understanding of how these deprivations are experienced at the household level. This generic qualitative study addressed this gap by examining the lived experiences of heads of households in Bayelsa West Senatorial District, Nigeria, where poverty incidence and intensity are among the highest nationally. Drawing on Sen’s capability theory, Atkinson’s multidimensional poverty framework, and the social determinants of health model, this study …

Q-Aware: A Lightweight Crosscutting Track For Preparing Quantum-Aware Software Developers, Ali Ebnenasir, Görkem Aşılıoğlu, Ruihong Zhang, Stella Otoo, Charles Wallace

Michigan Tech Publications

There is an urgent need for ''T-shaped'' software developers with breadth in Quantum Computing (QC) and depth in Computer Science and Software Engineering, who can build and work with the quantum-powered applications of the near future. This paper reports on our experiences implementing the Quantum-Aware (Q-Aware) track, an adaptable and lightweight curricular framework that can be integrated into existing curricula for the preparation of quantum-aware graduates. Our focus here is a study conducted on the integration of Q-Aware into Data Structures and Discrete Structures courses during Fall 2025. One goal of this study was to investigate the effectiveness of Q-Aware …

Auditor Trust In Artificial Intelligence, Michael L. Decker

Electronic Theses and Dissertations 2020 - Present

Accounting firms are investing in, and advocating for, the use of Artificial Intelligence (AI) in audit procedures. This dissertation attempts to determine what factors may lead to auditors trusting an AI system. Established models of trust show that traits of the individual user, the system, and the situation all have effects on trust. Prior accounting research also indicates that professional skepticism is an important trait in auditors. This dissertation adds professional skepticism into an established trust model and uses Structural Equation Modeling to investigate auditor trust in audit evidence prepared by an AI system. My results indicate that the most …

Decoding The Allosteric Grammar Of Protein Kinases: A Dual-Stream Framework Integrating Protein Language Models And Energy Landscape Frustration Analysis, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Kamila Riedlova, Vít Škrhák, Marian Novotný, David Hoksza, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The spatial and energetic encoding of allosteric regulatory sites remains a major challenge in structural biology, frequently representing a “blind spot” for sequence-based artificial intelligence (AI) models. We present a protein language model (PLM)-guided approach complemented by the energy landscape frustration analysis as a dual-stream framework to investigate the relationship between AI prediction of binding sites and biophysical organization of regulatory pockets across the human kinome. By probing a fine-tuned residue-level PLM classifier across 453 kinase structures, a clear performance gap is discovered between highly predictable orthosteric pockets (Types I, I.5, and II) and poorly resolved distal allosteric sites (Type …

Research On Image Feature Analysis Of Intangible Cultural Heritage Brocade Integrating Multi-Scale Visual Perception, Ruiyang Yuan, Hao Wang, Shu Zhou, Hui Zhu, Jingwen Qiu

Journal of Scientific Information Research

[Purpose/significance] Addressing the challenges posed by the complex semantic characteristics of intangible cultural heritage brocade imagery, the difficulty in extracting their profound connotations, and the inadequate utilisation of multi-scale features by traditional deep learning models, this paper aims to explore a method for analysing the characteristics of intangible cultural heritage brocade images that integrates multi-scale visual features. [Method/process] This paper constructs a multi-scale feature analysis framework for intangible cultural heritage brocade images (ICH_BC), integrating convolutional neural networks with Transformer architectures. The framework employs ResNet to extract local texture and detail features from brocade images, utilises VIT to capture global structural …

Research On The Modeling Of Intelligence-Driven Cyberspace Public Opinion Security Situation Awareness Empowered By Digital Intelligence, Jinjie Ye, Fanglu Luo, Zhiyong Shi

Journal of Scientific Information Research

[Purpose/significance] The shaping of online public opinion security situational awareness is a key approach to governance. In digital and intelligent era, integrating digital intelligence empowerment with intelligence-driven theory holds significant theoretical and practical value for enhancing the capability and effectiveness of online public opinion security situational awareness. [Method/process] This study, based on a thorough explanation of the core concepts of digital intelligence empowerment and intelligence-driven theory, systematically analyzes the internal logic of shaping network public opinion security situation awareness through digital intelligence empowerment and intelligence-driven approaches, then constructs and interprets a model for shaping network public opinion security situation awareness …

Analysis Of Technology Introduction And Re-Innovation Models Of Chinese Enterprises Based On Transnational Patent Transfer Data: A Case Study Of Strategic Emerging Industries In Shandong Province, Kun Dong, Kexin Chen, Qingxiu Mu, Zihang Cui

Journal of Scientific Information Research

[Purpose/significance] Technology introduction re-innovation is the key path for enterprises to quickly acquire advanced technologies and transform them into independent innovation advantages, which is of great significance in promoting the upgrading of the national technology innovation system and enhancing industrial competitiveness. [Method/process] This article proposes a specific approach for analyzing the technology introduction and re-innovation model of enterprises based on cros-border patent transfer data, and takes strategic emerging industries in Shandong Province as an example for empirical research, then proposes the selection strategies for enterprises technology introduction re-innovation models. [Result/conclusion] Research shows that strategic emerging industry enterprises in Shandong Province …

Expert Interview: "The Mirror Of Ai" In The Domain Of Scientifc Information Research, Taitian Mao, Yulai Bao, Jianxiang Wei, Peng Wu, Chuanming Yu, Gan Tang, Dongyan Wei, Yifei Ma, Wei Wang, Yu Ma

Journal of Scientific Information Research

Professor Mao Taitian and colleagues argues elucidates the adaptation logic, practical pathways, and prerequisites of intelligent agents to empower the high-quality development of scientific information. Professor Bao Yulai and colleagues advocate that integrating the perceptual elasticity of domain-specific large models with the cognitive rigidity of ontology can establish a new paradigm for intelligence services in complex scenarios. The synergy between the two can not only expand the theoretical boundaries of information science and serve national strategies, but also advance intelligence services from assisted analysis to intelligent decision-making. Professor Wei Jianxiang and colleagues point out that generative artificial intelligence has triggered …

Full Issue, Editorial Team

Journal of Texas History

No abstract provided.

Museum Of The American Gi, College Station, Texas, Gregory A. Daddis

Journal of Texas History

No abstract provided.

Frontera Freeways: Highway Building And Displacement In El Paso, Texas, By Miguel Juárez, Alana De Hinojosa

Journal of Texas History

No abstract provided.

The First Juneteenth: Black Churches, Reconstruction Politics, And The Houston Origins Of June 19 Celebrations, W. Caleb Mcdaniel

Journal of Texas History

While Galveston is rightly renowned as the birthplace of Juneteenth, this article argues that Houston played an equally foundational role in the origins of the holiday as the site of the first recorded public celebration of June 19 as an anniversary of freedom. Drawing on new research in a rare newspaper, it examines the circumstances that led Black Houstonians to celebrate June 19, 1866, identifying the leaders and locations of the Houston event for the first time. Finally, it connects the first Juneteenth to two related histories: the establishment of independent Black churches in Texas after slavery and the politics …

Public Administration 2.0: How Artificial Intelligence And Digitalization Are Reinventing Public Services, Raja Temnati

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

The rapid advancement of digital technologies and Artificial Intelligence (AI) is profoundly transforming public administrations, offering unprecedented opportunities to enhance the management, efficiency, and transparency of public services. AI enables the automation of administrative processes, the personalization of public services, and improved access to government resources for citizens. However, this digital transformation also presents significant challenges, particularly in terms of data security, infrastructure management, and digital inclusion. This article draws on case studies conducted in Niger, Quebec, Morocco, France, and Algeria, revealing contrasting outcomes. In some contexts, digitalization has improved access to public services, reduced administrative processing times, and strengthened …

The Impact Of Big Social Data On Optimizing The Marketing Strategies Of Moroccan Companies: Opportunities And Challenges, Leila Kissi, Hasna Benomar

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

With the rapid growth of social media and the increasing volume of data generated online, Moroccan companies face both significant opportunities and major challenges in leveraging Big Social Data. This exploratory study aims to examine the extent to which Moroccan companies integrate Big Social Data into their marketing strategies while identifying the opportunities they derive from its use and the obstacles they encounter. The findings reveal that, despite maintaining an active presence on social media platforms, the exploitation of Big Social Data remains limited, primarily due to technological complexity and a shortage of specialized skills. In response to these constraints, …

Customer Experience At The Heart Of The Moroccan Banking Revolution, Raja Temnati

Revue Marocaine de Droit, d'Economie et de Gestion (Moroccan Journal of Law, Economics and Management)

This article examines customer satisfaction with Moroccan banks, particularly in the context of the growing digitalization of banking services. Based on a qualitative survey, it identifies the key factors influencing customer satisfaction, including the performance of online services, the speed of request processing, and the quality of interactions with bank advisors. The findings show that banks offering seamless and secure digital services while maintaining high-quality in-branch customer support achieve higher levels of customer satisfaction, loyalty, and corporate image. Conversely, banks with limited online services, high perceived fees, and inadequate branch service generate greater customer dissatisfaction. The study highlights the importance …

Can Ungrading Make Sport Management Education More Practical And Engaging?, Michael A. Odio

The COSMA Journal

In this essay I take on the subject of grades in sport management education. While grades are used as a measure of success across higher education, they are an imperfect measure of achievement and learning and have major limitations in terms of student employability. The ungrading movement brings attention to the ways grades can harm learning by shifting attention away from students’ development, and instructor or peer feedback, and intrinsic motivation, while incentivizing compliance and risk-aversion. These harms directly affect what are arguably some of the most important aspects of sport management education, as when grades are the main incentive, …

Adapting Media Management Applications To Macro-Level User Context, Ashwin Goyal, Nicholas James Staubach

Defensive Publications Series

Media management applications such as photo libraries enable users to organize their photos and videos around various themes, search their content, retrieve historical media, share media content with others, etc. Over a substantial time period, such applications act as a repository for the user’s dominant capture context. However, current media management applications provide a static user interface that does not adapt to the user’s capture context. This disclosure describes techniques that, with user permission, automatically detect a dominant context for media capture and automatically adapt a media management application to the detected context. The context is determined by analyzing captured …

Nasa Mission Upgrade Suite (Nmus‑1.0) A Unified Open‑Hardware Architecture For Mars Brine Processing, Thermal Management, Dust‑Resilient Fluidics, And Solid‑State Habitat Support, Michael Victor Caldwell Mr.

Defensive Publications Series

ABSTRACT (NASA‑Facing)

NASA’s Moon and Mars missions face four persistent engineering challenges:

1. Corrosive brine handling (Mars ISRU water extraction)

2. Thermal management in vacuum (habitats, rovers, ISRU plants)

3. Dust‑resilient fluidics (regolith destroys seals and bearings)

4. Low‑maintenance, solid‑state systems (long-duration missions)

This disclosure presents NMUS‑1.0, a unified, solid‑state, open‑hardware upgrade suite integrating four builder‑ready Caldwell inventions from the TDC ecosystem:

• The Nexus Cell — Arachne Gyroid Structural‑Thermal Substrate

• Arachne Gen‑3 v3.4.1 “FORTRESS” — High‑Thermal Dyneema Microfluidic Interposer

• Thermal‑Energy Harvesting Loop (TEHL‑v1.0) — Vacuum‑Compatible Waste‑Heat Recovery

• TV‑RPPH V3.0 — Mars‑Optimized Solid‑State MHD Brine Pump

All components are grounded in standard physics and use …

Technical Disclosure: A Multi-Variable, Object-Oriented Database Schema And Api Protocol For Ai-Guided, Performance-Based Curriculum Routing, Christopher L. Eckes

Defensive Publications Series

This technical disclosure details the architecture for an automated, multi-variable, object-oriented data schema and Application Programming Interface (API) designed to execute performance-based curriculum routing without age-segregated grade boundaries. The system structures diverse academic, kinetic, and technical disciplines into standardized, interoperable data objects called Discipline Blueprints. Each blueprint enforces a non-linear advancement pipeline governed by two immutable checkpoints: a zero-assist algorithmic velocity sprint and a physical/systemic product generation milestone. A localized machine learning agent parses real-time telemetry from user interactions, dynamically matching individual cognitive profiles against localized workforce shortages and trade vectors to prevent network drop-out. Crucially, the architecture incorporates an …

From Ai To Alien(S): Universal Alignment Principles And The Architecture Of Inter-Species Communication Metrics, Christopher L. Eckes

Defensive Publications Series

The critical bottleneck in both contemporary Artificial Intelligence (AI) alignment and the Search for Extraterrestrial Intelligence (SETI) is anthropomorphic bias. Modern AI alignment models rely heavily on human linguistic structures, reinforcement learning from human feedback (RLHF), and qualitative ethical frameworks. These models degrade rapidly when scaled to non-human or multi-agent networks. Similarly, traditional SETI protocols look for messages encoded in cultural or linguistic formats that assume shared biological or social evolutionary tracks.

This paper introduces a foundational framework for AI-Alien Alignment Principles (AAAP). By treating communication as a problem of non-linear dynamical systems integration, this model establishes Topology, Vector Calculus, …

Interaction Boundary Constraint, Brian Harber

Defensive Publications Series

Compositional AI systems increasingly operate through orchestration layers, retrieval mechanisms, external tooling, routing systems, and probabilistic model behavior. Under these conditions, evaluation often occurs through observable interaction surfaces while direct visibility into the full composition producing an interaction remains limited, partial, or absent at the point of interaction.

This paper defines the Interaction Boundary Constraint as a limit on what can be legitimately inferred from interaction surfaces alone under conditions where producing composition is not fully present at the point of interaction. The constraint distinguishes between reconstruction and compositional presence and constrains the scope of claims that interaction-surface evaluation alone …

Dynamic Synthesis And Insertion Of Personalized, Context-Aware Media Segments, Zebeedee Pedersen

Defensive Publications Series

Systems and techniques are described for dynamically generating personalized, context-aware media segments for insertion into media streams. A system can analyze user profile data in conjunction with the primary media content, such as its audio transcript and visual elements, to establish a specific context. A script generation module may then author a new script based on this context, which a multimodal synthesis model can use to create a new audiovisual segment, for instance, employing voice cloning and conditional video generation. This new segment may then be inserted into the primary media stream, such as by manipulating a streaming manifest file, …

The Agentic Framework For Automated Product Research And Prototype Planning, Zebeedee Pedersen, David Benjamin

Defensive Publications Series

Conventional product development processes can involve the manual coordination of multiple teams. This disclosure describes a system that can utilize a cooperative framework of specialized software agents to automate aspects of product research and prototype planning. The system can execute a multi-stage workflow where agents may perform roles, such as research agents gathering data, analyst agents synthesizing information to identify trends, and planner agents generating machine-readable implementation plans. The framework can also include oversight agents to facilitate quality control through automated feedback loops. This agentic system can provide a method for identifying, analyzing, and developing new product or service concepts, …

System And Techniques To Facilitate Probabilistic Attribute-Based Security Policy Conversions, Renato Morais

Defensive Publications Series

Proposed herein is an artificial intelligence (AI) for information technology operations (AIOps)-driven engine and system that provides for the ability to automate the transition from legacy Internet Protocol (IP)-based rules to identity-centric, zero trust policies. In this context, Security Group Tags (SGTs) are used as an illustrative example of such attribute-based policies. The system correlates identity metadata with real-time traffic telemetry and applies a Stability Index (SI) to evaluate whether a legacy rule can be converted to an attribute-based policy with reduced risk of service disruption. The SI considers identity consistency, temporal persistence, and traffic coverage so that conversion recommendations …

Explainable Machine Learning Revealing The Impact Of Mental And Physical Health On Arthritis, Ma Shams, S Fatema, Dmh Islam, A Datta, David Eisenberg, Dt Mridula, J Mawa, A Sultana, N Ahmed, M Islam, Ts Pias

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Objectives To develop a robust and interpretable machine learning framework for arthritis risk prediction and to identify important risk factors associated with the disease.Methods This study used four datasets, which are Behavioral Risk Factor Surveillance System (BRFSS) 2019, BRFSS 2021, National Health Interview Survey (NHIS) 2020 and NHIS 2022. We evaluated 11 machine learning and deep learning architectures including a custom stacked ensemble combined with five resampling techniques to address class imbalance and 9 imputation methods to handle missing data. Area under the receiver operating characteristic curve (AUROC), sensitivity, specificity and balanced accuracy are used to evaluate model performance, with …

Gust-Induced Aerodynamic Performance In Insects' Forward Flapping Flight, Arash Farsani, Ori Stearns, Gal Ribak, Roi Gurka

Physics and Engineering Science

Flapping-wing flight is inherently unsteady, where atmospheric gusts can substantially degrade the aerodynamic performance when their characteristic time scales are comparable to the wingbeat period. This study presents a numerical investigation and time–frequency characterization of gust-induced aerodynamic response of flapping wings of varying size, inspired by the flight of a longhorn beetle, Batocera rufomaculata. Geometrically similar wings spanning the biological range were simulated in forward flight under identical prescribed kinematics and a transient frontal gust with a smoothly ramped profile. Three-dimensional unsteady Reynolds-averaged Navier–Stokes simulations using the shear stress transport k–ω turbulence model were performed to resolve the instantaneous pressure …