Digital Commons Network^™

Experimental Study On Physical And Mechanical Properties Of Soft Soil During The Construction Of Wenzhou Shield Tunnels, Zheng Kai, Cao Zhigang, Liu Yaoxing

Journal of China & Foreign Highway

In the subway engineering of soft soil areas, the physical indicators and static-dynamic properties of soft clay are important factors influencing subway design, construction, and project cost. In particular, during subway operation, cyclic dynamic stress induced by running trains acts on the underlying soft soil foundation of the tunnels, thus greatly affecting the operational safety and maintenance of the subway. Based on the Wenzhou Metro M1 Line project, laboratory geotechnical tests and systematic research were carried out on the soft soil through shield tunnels to obtain the basic physical indicators of Wenzhou soft clay, with its consolidation, shear characteristics, and …

Design Of Positioning System For Large Floating Caisson In Deep-Water Bare-Rock Environment, Liu Ning, Yan Zhuhua

Journal of China & Foreign Highway

The Xihoumen Rail-cum-Road Bridge is a hybrid cable-stayed-suspension bridge with a main span of 1 488 m. The foundation of Pier No.4 is an embedded caisson foundation. The caisson has a diameter of 58 m and a height of 37 m and was constructed using the floating transportation method. The total floating-transport mass of the steel structure and appurtenances was approximately 9 870 t. To address the insufficient horizontal positioning stiffness, construction difficulty, and high cost associated with the positioning-vessel and anchor-pier methods in a deep-water, bare-rock environment, this paper adopted a large-tonnage gravity-anchor positioning method to optimize the caisson …

Recognition Sight Distance And Minimum Radius Of Vertical Curves At Expressway Tunnel Entrances, Fu Zhipeng, Zhou Shiyang, Pan Binghong, Liu Zhi, Liu Yutong, Liu Yuying

Journal of China & Foreign Highway

Lane changing is generally prohibited and strict speed limits are imposed in expressway tunnels in China. To ensure that drivers can safely and comfortably complete lane changes and speed adjustments before entering a tunnel, horizontal curves should satisfy the tunnel entrance recognition sight distance requirement, and the radii of vertical curves in the longitudinal profile should also satisfy this requirement. If the vertical curve radius of the section before a tunnel entrance is improperly designed, drivers may be unable to recognize the tunnel entrance in time, resulting in rushed lane changes or delayed speed adjustments before entering the tunnel, which …

Intelligent Inversion Of Advanced Gpr Images For Complex Adverse Geological Tunnels, Tang Wenbin, Liang Ming, Peng Hao

Journal of China & Foreign Highway

To address the limitations of traditional empirical interpretation methods for advanced ground penetrating radar (GPR) detection images of tunnels, including inconsistent standards, low efficiency, and high rates of misinterpretation and missed detection, this study proposed an intelligent inversion method for radar B-scan waveform images of adverse geology based on an improved generative adversarial network (GAN). A multi-condition synthetic dataset was constructed through electromagnetic numerical simulation combined with random generation constraints of medium parameters, incorporating three types of geological anomalies (irregular cavities, fracture zones, and cracks) and their combinations. The GAN generator was optimized by integrating Unet convolutional neural network architecture …

Collision Risk Prediction For Motor And Non-Motorized Vehicles At Intersections Based On Spatiotemporal Trajectory Clustering, Xie Bin, Li Zhenghang, Li Peng, Xiong Chang ’An

Journal of China & Foreign Highway

To address the safety risk prevention requirements caused by right-of-way conflicts in the mixed traffic environment of motor and non-motorized vehicles at urban intersections, a collision risk prediction method for motor and non-motorized vehicles integrating trajectory clustering and deep learning was proposed in this paper to improve the accuracy of traffic safety assessment at intersections. First, multi-type vehicle trajectory data in drone videos were extracted based on the DataFromSky software to construct a high-precision spatiotemporal dataset containing vehicle coordinates, velocities, and accelerations, and high-risk scenario trajectories were screened through the feature analysis of risk scenarios. Second, the DBSCAN spatiotemporal trajectory …

Rapid Detection And Application Of Rock Mass Joint Features Based On Improved Yolo Model, Li Huixing, Zhang Jing, Zhang Jiannan, Fang Hao, Chen Tao, Wang Changshuai

Journal of China & Foreign Highway

In view of the problems that existing monitoring methods for rock mass joints mainly rely on manual identification, with low detection efficiency and strong subjectivity, a detection and segmentation method for rock mass joints was proposed in this paper. The model improved the YOLOv8 algorithm by introducing the multi-scale feature module (MSBlock) and channel prior convolutional attention (CPCA) mechanism to enhance the image recognition accuracy of the existing YOLOv8 network model. By introducing the MSBlock algorithm, features at different scales and levels were fused, which could both capture the fine local details in the image and recognize the image features …

“Borderless ” Integration Design And Practice Of Chuanjiu Highway, Tan Changming, Li Junzhuo, Sun Dayuan, Wang Yi

Journal of China & Foreign Highway

To address the integrated demands of ecological protection, landscape coordination, and tourism service enhancement in the post-earthquake reconstruction of Chuanjiu Road following the Jiuzhaigou Earthquake, a "borderless" integration design concept was proposed, and systematic engineering practices were conducted. The concept transcends traditional road boundary thinking by establishing a three-dimensional integration framework encompassing ecology, road landscape, and transport-tourism: Near-natural ecological restoration was implemented based on habitat grading, and the ecological, stable, and fertile (ESF) high-performance restoration technology was developed and applied; the route was segmented according to geomorphological and cultural characteristics to achieve synergy between the road landscape and the regional …

Prediction Of Asphalt Pavement Condition Index For Urban Roads Based On Ensemble Learning, Dong Lili, Li Shuqing, Liu Haijun, Chang Chen, Feng Chao

Journal of China & Foreign Highway

To enhance the scientific rigor and precision of urban road maintenance decision-making, this study proposes an ensemble learning-based method for predicting the asphalt pavement condition index (IPCI). Based on historical pavement inspection and maintenance data for urban roads in Beijing from 2017 to 2024, a multidimensional feature dataset encompassing pavement usage indicators, performance indicators, and environmental impact indicators was constructed. Feature selection was performed using Pearson correlation coefficients and the LASSO method. Based on these selected features, 11 widely used machine learning models were trained, and their hyperparameters were optimized. After a comprehensive comparison of predictive accuracy, the five best-performing …

Control Design For High-Side Blocking Of E3 High-Altitude Electromagnetic Insults, Connor A. Lehman, Rush Robinett, Wayne Weaver

Michigan Tech Publications

This paper presents a novel approach for protecting transformers during an (Formula presented.) HEMP insult as well as the associated technology-agnostic voltage, power, energy storage, and bandwidth requirements of various control laws. The mitigation is performed by placing a controlled voltage supply in series with the primary winding of a transformer. The controlled voltage supply is subjected to four control laws: an integral controller (capacitor), a linear quadratic regulator (LQR), a nonlinear energy storage optimal feedforward control law, and a Hamiltonian feedback control law. The research gap addressed is that most (Formula presented.) mitigation discussions emphasize neutral-side blocking, whereas transmission-level …

Explaining Safety Challenges And Their Relationships Using A Qualitative-Fuzzy Dematel Approach: A Surface Mine Case Study, Neda Molamehdizadeh, Gholam Hossein Halvani, Hossein Ebrahimi, Ali Asghar Farshad, Seyedeh Melika Kharghani Moghadam, Saber Moradi Hanifi

Journal of Sustainable Mining

Safety in surface mining operations is a major organizational management challenge due to the inherently hazardous nature of mining activities. This study aimed to explain safety challenges and identify their interrelationships through a combined qualitative-fuzzy DEMATEL approach in a surface mine in Yazd Province, Iran. The research was carried out in two sequential phases: first, key safety challenges were identified through qualitative interviews with employees, supervisors, and safety experts; then, the relationships among these challenges were analyzed and prioritized using the fuzzy DEMATEL technique. The main challenges identified included insufficient specialized training, inadequate safety equipment, weak organizational safety culture, and …

The Carbon Footprint Of The Hard Coal Sector In Poland In The Context Of The Evolution Of The European Union’S Climate Neutrality Policy, Katarzyna Widera

Journal of Sustainable Mining

The topic of the article is the carbon footprint of coal as a primary source of energy. In light of climate change and the energy transition in the European Union, it is increasingly important to analyse the carbon footprint of individual economic sectors. The aim of this review article is to present an analysis of the carbon footprint of the hard coal sector in Poland against the background of the EU’s climate neutrality policy. The paper reviews EU strategic documents, such as the European Green Deal, the ”Fit for 55” package, and the REPowerEU and Clean Industrial Deal initiatives, in …

7th International Workshop On Sox Transcription Factors., Aya Uchida

Faculty Research 2026

Marking the 20th anniversary of a well-established meeting series focused on the biological and clinical importance of SOX genes as regulators of cell fate, the 7th International Workshop on SOX Transcription Factors held from 8-11 September 2025 at the Prince Resort MICE Karuizawa in Nagano, Japan, brought together 83 participants from 17 countries. The meeting showcased the foundations of SOX gene research and recent technological and conceptual breakthroughs across diverse model systems and human research, illustrating the field's evolution and emerging directions for future research. Reflecting the breadth of SOX biology - from early embryonic development and sex determination to …

Plasma-Generated Ozone For Odor Removal, Jordan Marot

Seton Hall University Dissertations and Theses (ETDs)

Ozone (O₃) is gaining popularity for its use in industrial and environmental applications, including water treatment, air purification, disinfection, and odor remediation. As a powerful oxidizing agent, ozone is highly effective in destroying harmful bacteria and degrading hazardous gas pollutants such as hydrogen sulfide (H₂S). Dielectric barrier discharge (DBD) reactors are widely used for commercial ozone production under atmospheric-pressure conditions. However, ozone yield and selectivity are strongly influenced by operating parameters, particularly gas flow rate, which affects residence time, energy transfer, and competing byproduct chemistry.

This study explores the influence of the air flow rate on …

Development Of An Ergonomic Education Program At The Nestlé Usa Production Facility In Nea, Virginia Smith

Occupational Therapy Doctoral Capstones

A review of the literature, needs assessment findings, and collaboration with site stakeholders identified opportunities to strengthen ergonomics education, improve occupational health literacy, and support a more comprehensive approach to workplace ergonomics through the development of evidence-based resources. The purpose of the doctoral capstone project was to develop the Nestlé Ergonomics Program by applying the Person-Environment-Occupation (PEO) Model to create evidence-based ergonomic resources that increase workplace ergonomics education, promote occupational health literacy, and reduce the risk of work-related musculoskeletal disorders among employees at the Nestlé USA Production Facility in Jonesboro, Arkansas.

Octofoil Newsletter Index For Issues January 1947-, Richard B. Kann Jr.

The Octofoil

This pdf is an index to instances of the Ninth Division stories, veteran’s names, and pictures of the 39th, 47th, 60th , and associated units found in the Octofoil, the official newletter of the Ninth Division Association.

Mineral Composition-Driven Competitive Adsorption Behavior Of Superplasticizer In Recycled Concrete Powder-Cement Pastes: Quantification And Validation, Junpeng Du, Tongsheng Zhang, Hongyan Ma, Peiliang Shen, Yiqun Guo, Siqing Zeng, Jiangxiong Wei, Qijun Yu

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Recycled concrete powder (RCP) exhibits pronounced variability in mineral component contents, which leads to competitive adsorption of superplasticizers in RCP-Portland cement (PC) pastes and consequently to mineral composition-dependent deviations in rheological properties. In this study, limestone powder (LSP), quartz powder (QZP), and hardened paste powder (HPP) were used to simulate the main components of RCP. Effects of RCPs with target components on the rheological properties of blended cement paste were investigated, and a competitive-adsorption coefficient (CC) was proposed to quantify the competitive adsorption of superplasticizer. Results showed that increasing LSP-enriched RCP content reduced the yield stress of cement paste, primarily …

The Honored Children Of Adam: A Muslim Reading Of Magnifica Humanitas In The Age Of Artificial Intelligence, Iqbal Akhtar

The Journal of Social Encounters

No abstract provided.

The Fridge And The Drone: A Reflection From The Perspective Of Palestinian Liberation Theology On Magnifica Humanitas, Omar Haramy

The Journal of Social Encounters

No abstract provided.

Preliminary Report - Evidence-Based Assessment Of Opportunities, Risks And Impacts Of Artificial Intelligence, - United Nations Independent International Scientific Panel On Ai

The Journal of Social Encounters

No abstract provided.

Genocide By Algorithm In Gaza: Artificial Intelligence, Countervailing Responsibility, And The Corruption Of Public Discourse, Branislav Radeljić

The Journal of Social Encounters

The accelerating integration of artificial intelligence (AI) into military systems[i] raises major concerns across fields such as security studies, international public law, and critical technology studies. As warned in 2023, “[t]he world’s major military powers have begun a race to wire AI into warfare. […] No one is inviting AI to formulate a grand strategy, or join a meeting of the Joint Chiefs of Staff. But the same seductive logic that accelerated the nuclear arms race could over a period of years, propel AI up the chain of command.”[ii] In the military domain, algorithmic systems function as epistemic …

Le Défi Mondial : Panorama Comparatif Des Soins Néonatals Au Maroc Et Aux États‑Unis, Manasi Joshi

NEXUS: The Liberty Journal of Interdisciplinary Studies

Cette étude comparative examine les soins néonatals au Maroc et aux États-Unis après un stage dans une clinique privée à Rabat. Bien que les pratiques médicales principales soient universelles, leur application varie dans différents pays selon les circonstances socio-économiques et culturelles. Basée sur des observations directes, des entretiens avec des professionnels de soins néonatals marocains et une analyse de la littérature sur ce sujet dans ces deux pays, cette recherche discute de quatre différences principales : la disponibilité des ressources, l’accès aux soins de qualité, l’influence culturelle et les obstacles financiers. Malgré la pénurie évidente de personnel dans les hôpitaux, …

Hierarchical Context Caching Using Data Segmentation And Predictive Aggregation, Sarita A. Joshi, Leo J. Gustas, Blane C. Clark

Defensive Publications Series

Standard context caching for large language models can be inefficient in workflows with large, multi-part contexts, such as clinical documentation, where streaming data can invalidate static records and individual records may not meet caching thresholds. A computer-implemented system and method for optimizing context caching are described. The system may utilize a hierarchical structure that segments input context into static, semi-static, and dynamic layers based on update frequency. The system may also proactively aggregate historical records from multiple patients into a single cache prefix to meet service provider token minimums. This approach of hierarchical segmentation and predictive aggregation can reduce cache …

Warpage Control Of Printed Circuit Boards For Large-Scale Package Assembly Using A Localized Stiffener, N/A

Defensive Publications Series

The technology described in this paper relates to an approach for mitigating the issue of thermal warpage mismatch between high-performance processor packages and system boards by mechanically coupling a localized stiffener structure to a printed circuit board near the mounting area of a large-scale package. By selecting materials with tailored coefficients of thermal expansion, the localized stiffener actively influences the board's thermal warpage profile during solder reflow, forcing it to conform to the warpage shape of the package. This approach significantly reduces assembly defects, such as non-wet opens and bridging, particularly across massive ball grid array footprints. The disclosed technology …

Risk Manager Predictive Fraud Futures, Gayathri U, Sitaram Panigrahi

Defensive Publications Series

The present disclosure relates to a system and method for predicting merchant-level fraud spikes in payment transaction networks using Temporal Graph Neural Networks (TGNN). The present disclosure suggests receiving historical payment transaction data associated with a plurality of transactions. The present disclosure also suggests generating, from the historical payment transaction data, a plurality of heterogeneous transaction graphs representing transaction relationships across one or more time intervals. Node feature representations and edge feature representations are generated for the heterogeneous transaction graphs based on the transaction data. Subsequently, the present disclosure suggests determining node-specific temporal context information using transaction timestamps associated with …

User Authorization Of Ai Generated Code Based On Pre-Execution Telemetry, Timo Hoyer

Defensive Publications Series

Generative artificial intelligence (genAI) technology enables users to specify natural language commands and obtain executable code and/or database queries as AI output. While such code can help users accomplish goals quickly, in enterprise computing environments, it can introduce operational issues/vulnerabilities, waste computational resources, lead to platform failures, and/or administrative friction. This disclosure describes a pre-execution orchestration architecture and dynamic user interface for user authorization of code prior to execution. A user can use genAI to generate code. Prior to execution, such code (executable code, database queries, or infrastructural commands) is subjected to analysis to generate pre-execution telemetry that includes factors …

System For Orchestrating Multi-Modal Generative Pipelines For State-Consistent Interactive Environments, Parnika Singhal, Chirag Saini, Nilanjana Thakur

Defensive Publications Series

Generative systems for dynamic interactive environments may face technical challenges related to maintaining logical consistency and narrative coherence, sometimes referred to as state drift. A computer-implemented system, such as a server or cloud computing platform, can utilize an orchestration layer to coordinate multiple specialized generative pipelines, for example, for narrative, visuals, and audio. A technique can involve constraining a generative language model to output a structured data object that separates a persistent world state vector from an ephemeral narrative payload. The persistent state vector can be reinjected into the model on subsequent turns to help maintain long-term coherence, while metadata …

Hybrid Reaction Bridge, Hp Inc

Defensive Publications Series

Hybrid meeting platforms give remote attendees structured side-channel mechanisms—virtual hand raises, emoji reactions, poll responses—that are entirely absent for in-room participants, whose non-verbal behaviour remains visible only inside the physical room. This paper describes a bridging system that observes in-room participants through a shared room camera, detects a defined vocabulary of natural non-verbal signals (nodding, head-shaking, raised hands, and postural cues), and translates each qualified signal into a corresponding structured reaction event within the conferencing platform’s existing reaction model. The result is a unified reaction channel in which in-room and remote participants are represented with equivalent expressive bandwidth, without requiring …

Intent-Aware Human Motion Interpretation, Hp Inc

Defensive Publications Series

The central challenge of camera-based gesture input in video meetings is distinguishing deliberate interaction gestures from the natural hand motion that accompanies speech. This paper describes a system that meets that challenge through an intent classification engine evaluating kinematic, temporal, postural, spatial, and speech-aligned features over sliding temporal windows. Qualified gestures pass to a gesture-to-structure transformation pipeline that produces clean, labelled diagram elements—not freeform ink—and renders them as first-class shared content within the conferencing platform, visible to all participants in real time, without requiring specialised hardware.

Interaction Claim Standard, Brian Harber

Defensive Publications Series

Independently implemented systems increasingly produce, exchange, and interpret claims about AI interactions: what participated, which interaction the supporting evidence concerns, and how far an assertion reaches. Where no shared requirements govern these claims, agreement on their meaning across implementations remains incidental rather than normative—each implementation may interpret the same assertion differently.   This document defines the Interaction Claim Standard, a standard for expressing and interpreting claims about AI interactions across independently implemented systems. It standardizes four normative objects: claim semantics, interaction-specific evidentiary binding, claim boundaries, and normative interpretation requirements. Together, these establish cross-implementation agreement on the meaning of claims, their evidentiary …

Integrated Clamp Interface For Joining Mjf Additively Manufactured Components To Non‑Mjf Structural Members, Hp Inc

Defensive Publications Series

This disclosure describes an integrated fastening architecture that enables direct attachment of Multi Jet Fusion (MJF) additively manufactured components to structural elements manufactured from other materials. The solution uses a clamp geometry incorporated into the MJF component, a guided fastening mechanism, and controlled mating faces. The design enables rapid assembly, repeatable retention performance, and non-permanent attachment while minimizing additional hardware. Unlike adhesive bonding, interference fits, or external clamps, the approach separates assembly torque requirements from retention-force generation, improving manufacturing robustness and reducing sensitivity to torque variation. Figure 1a, Figure 1b, and Figure 2 illustrate representative fastening concepts and the screw-held …