Cloud Computing Center

An evolutionary framework with adaptive recovery for online reconfiguration of multi-source measurement systems

Multi-source measurement systems are expected to maintain estimation accuracy and operational robustness under abnormal disturbances. Such disturbances can alter source availability, observation quality, and synchronization conditions, causing a previously deployed configuration...

Causal inference maps the sex-dimorphic genetic architecture and inflammatory-metabolic networks underpinning perceived aging in UK Biobank

Self-perceived facial aging is an externally observable aging-related phenotype that may reflect both biological and psychosocial dimensions of aging. However, its genetic and molecular determinants, sex-specific heterogeneity, and relationship with systemic aging-related pathway...

Class balanced diabetic retinopathy image synthesis using a latent diffusion framework

Diabetic Retinopathy (DR) is one of the major causes of preventable blindness globally. Automated screening for DR is critical but is severely hindered by data scarcity and class imbalance. Real-world datasets, such as APTOS 2019, exhibit extreme class imbalance, where sight-thre...

Heavy Industrial Mobility & Field Computing: An Engineering Evaluation of Rugged Tablets for Civil Construction and BIM Blueprint Processing (2026)

A quantitative engineering evaluation and environmental stress analysis of industrial-grade rugged tablets deployed in hostile civil construction and field engineering environments. This paper evaluates MIL-STD-810H ballistic shock resilience, IP68/IP69K ingress protection, and r...

Heavy Industrial Mobility & Field Computing: An Engineering Evaluation of Rugged Tablets for Civil Construction and BIM Blueprint Processing (2026)

A quantitative engineering evaluation and environmental stress analysis of industrial-grade rugged tablets deployed in hostile civil construction and field engineering environments. This paper evaluates MIL-STD-810H ballistic shock resilience, IP68/IP69K ingress protection, and r...

Atomization and Characterization of Tungsten Heavy Alloy Powders

This paper investigates the Electrode Induction Gas Atomization (EIGA) of a Class 4 tungsten heavy alloy (WHA-4) containing 97.8 wt.% W, with the balance comprising Ni and Fe. Compared with conventional tungsten heavy alloys containing less than 95 wt.% W, the high tungsten conte...

The Family as a Resilient Organization

Families across the Americas increasingly confront compound disruptions: natural hazards, infrastructure failures, political and security instability, economic shocks, interrupted education and healthcare, migration uncertainty, and authority-driven actions capable of separating...

The Family as a Resilient Organization

Families across the Americas increasingly confront compound disruptions: natural hazards, infrastructure failures, political and security instability, economic shocks, interrupted education and healthcare, migration uncertainty, and authority-driven actions capable of separating...

The EU Artificial Intelligence Act as an Enterprise Governance Challenge

The European Union Artificial Intelligence Act establishes a uniform, risk-based legal framework forartificial intelligence systems and general-purpose AI models. Its practical implementation, however,cannot be reduced to a legal interpretation exercise or delegated exclusively t...

Human–AI Augmented Cognition Framework: A Purpose-Led Framework for Cognitive Allocation and Augmentation in Human–AI Practice

The Human–AI Augmented Cognition Framework (HAACF) is a purpose-led framework for designing how cognition should be distributed between humans and artificial intelligence. Rather than beginning with what AI can automate, HAACF begins with the cognitive intent of an activity and a...

Human–AI Augmented Cognition Framework: A Purpose-Led Framework for Cognitive Allocation and Augmentation in Human–AI Practice

The Human–AI Augmented Cognition Framework (HAACF) is a purpose-led framework for designing how cognition should be distributed between humans and artificial intelligence. Rather than beginning with what AI can automate, HAACF begins with the cognitive intent of an activity and a...

Correlation between apparent solubility and dye exhaustion in carrier‐assisted dyeing of disperse dyeable polyester under normal pressure

Abstract Conventional dyeing of poly(ethylene terephthalate) (PET) typically necessitates energy‐intensive high‐temperature processes at approximately 130°C. In contrast, disperse dyeable polyester under normal pressure, modified with flexible ether‐bond segments, exhibits a sign...

CELLServe: An SLO-Aware and Cost Efficient LLMs Serving System for Serverless Computing Environments

Large Language Models (LLMs) have enabled diverse AI applications. However, LLMs inference impose unprecedented computational and memory overhead, creating an inherent trade-off between latency Service Level Objectives (SLOs) and resource constraints. Serverless computing, with o...

Security in the Fine‐Tuning Lifecycle of Large Language Models: Threats, Defenses, Evaluation, and Future Directions

ABSTRACT Background Fine‐tuning has become a core mechanism for adapting pretrained Large Language Models (LLMs) to downstream tasks. However, the dependence of fine‐tuning on training data, parameter update mechanisms, and reusable components provides entry points for attackers....