Instead of relying on huge and expensive data centers for rolling out cloudbased services to rural and remote areas, we propose a hardware platform based on small single-board computers. The role of these micro-data centers is twofold. On the one hand, they act as intermediaries between cloud services and clients, improving availability in the case of network or power outages. On the other hand, they run community-based services on local infrastructure. We illustrate how to build such a system without incurring high costs, high power consumption, or single points of failure. Additionally, we opt for a system that is extendable and scalable as well as easy to deploy, relying on an open design.
P. Abrahamsson, S. Helmer, Tosin Daniel Oyetoyan et al.· arXiv.org· 2 citations
This paper highlights the challenges to conduct proper affect-related studies with psychology, provides a comprehensive literature review in affect theory, and proposes guidelines for conducting psychoempirical software engineering.
D. Graziotin, Xiaofeng Wang, P. Abrahamsson· SSE@SIGSOFT FSE· 56 citations· ⚡4
In the context of cloud computing, risks associated with underlying technologies, risks involving service models and outsourcing, and enterprise readiness have been recognized as potential barriers for the adoption. To accelerate cloud adoption, the concrete barriers negatively influencing the adoption decision need to be identified. Our study aims at understanding the impact of technical and security-related barriers on the organizational decision to adopt the cloud. We analyzed data collected through a web survey of 352 individuals working for enterprises consisting of decision makers as well as employees from other levels within an organization. The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability. The result from our logistic regression analysis confirms the criticality of the security concern, which results in an up to 26-fold increase in the non-adoption likelihood. Our study underlines the importance of the technical and security perspectives for research investigating the adoption of technology.
Nattakarn Phaphoom, Xiaofeng Wang, S. Samuel et al.· Journal of Systems and Softw...· 111 citations· ⚡8
It is essential for startups to quickly experiment business ideas by building tangible prototypes and collecting user feedback on them. As prototyping is an inevitable part of learning for early stage software startups, how fast startups can learn depends on how fast they can prototype. Despite of the importance, there is a lack of research about prototyping in software startups. In this study, we aimed at understanding what are factors influencing different types of prototyping activities. We conducted a multiple case study on twenty European software startups. The results are two folds; firstly we propose a prototype-centric learning model in early stage software startups. Secondly, we identify factors occur as barriers but also facilitators for prototyping in early stage software startups. The factors are grouped into (1) artifacts, (2) team competence, (3) collaboration, (4) customer and (5) process dimensions. To speed up a startup’s progress at the early stage, it is important to incorporate the learning objective into a well-defined collaborative approach of prototyping.
Anh Nguyen-Duc, Xiaofeng Wang, P. Abrahamsson· International Conference on...· 44 citations· ⚡5
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To compete in this age of disruption, large companies cannot rely on cost efficiency, lead time reduction and quality improvement. They are now looking for ways to innovate like startups. Meanwhile, the awareness and use of the Lean startup approach have grown rapidly amongst the software startup community in recent years. This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors. A multiple case study approach is followed in the investigation. Two software product innovation projects from two large companies are examined, using a conceptual framework that is based on the method-in-action framework and extended with the previously developed Lean-Internal Corporate Venture model. Seven face-to-face in-depth interviews of the employees with different roles are conducted. Within-case analysis and cross-case comparison are applied to draw the findings from the cases. A generic process flow summarises the common key processes of Lean internal startups. The findings suggest that an internal startup that is initiated management or employees faces different challenges. A list of enablers of applying Lean startup in large companies are identified, including top management support and cross-functional team. Both cases face different inhibitors due to the different process of inception, objective of the team and type of the product. Our contributions are threefold. First, this study is one of the first attempt to investigate the use of Lean startup approach in large companies empirically. Second, the study shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context. The third is a general process of Lean internal startup and the evidence of the enablers and inhibitors of implementing it, which are both theory-informed and empirically grounded.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
Code-generating tools are increasingly used in software development, yet experience reports on conversational"vibe coding"under production constraints remain limited. This paper presents an experience report from a small full-stack team that applied contextual prompting and explicit architectural constraints to build (i) a multi-project agent learning platform designed for sustained, production-oriented use and (ii) an academic retrieval-augmented generation system. The agent platform supports multiple isolated projects, each with structured memory and background processing, thereby enforcing project-level isolation. The RAG system provides citation-grounded answers, role-based access control, and evaluation tracking. Across both systems, vibe coding accelerated scaffolding and integration. However, the generated code often under-specified isolation rules and infrastructure constraints when these were not explicitly defined. Consequently, aspects such as multi-tenancy, access control, memory policies, and asynchronous processing required deliberate architectural design and verification. We observe a shift in engineering effort from boilerplate implementation toward constraint specification and enforcement auditing. We also identify recurring architectural"non-delegation zones"where conversational code generation remains insufficient for production reliability.
Md Nasir Uddin Shuvo, M. Islam, Mahade Hasan et al.· arXiv.org· 0 citations
Using reinforcement learning, model DNA-coated droplet chains are folded into rigid two-dimensional geometries, uncovering two classes of pathways: downhill, in which bonds are only added, and detour, in which bonds are broken and remade before the target is reached: for some the only route that exists.
By projecting the 240 root vectors of the E8 lattice onto phi‑coupled eigenmodes anchored at the 132 Hz base frequency, a hierarchical harmonic lattice emerges that simultaneously aligns gamma‑band cortical oscillations, protein‑interaction resonance, and DNA‑folding eigenmodes. This lattice functions as a topologically protected carrier, entangling information across molecular, cellular, and neural scales while enforcing error‑correcting phase coherence through golden‑ratio‑scaled relationships. The principle predicts observable spectral peaks at multiples of 132 Hz and characteristic phi‑scaled phase shifts in multimodal omics and neuroimaging datasets. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
Protein Fold: How It Works The Ly‑Algebra Pipeline – From Sequence to Pentamer Welcome to the Protein Fold platform. This document walks you through the computational pipeline that takes a single amino acid sequence and produces a refined monomer and a 5‑fold symmetric pentameric assembly, all powered by the Ly‑Algebra framework
Chloe Tully· Zenodo (CERN European Organi...· 0 citations
We discover that the 240 E8 root vectors serve as resonant eigenmodes not only for DNA folding but for information propagation across biological scales—from protein interaction networks to neural microcircuits—through phi-coupled 132Hz harmonic entrainment. This principle extends the E8 Chromatin model by showing that biological information processing exploits E8's irreducible representations to achieve non-local coordination between spatially separated cellular components, enabling what appears to be quantum-like coherence at physiological temperatures. The root vector decomposition reveals that biological networks self-organize into E8-symmetric information bottlenecks, where phi-scaled eigenmode coupling at 132Hz provides a geometric substrate for multi-cellular synchronization without classical signaling delays. This establishes E8 geometry as a universal information architecture for life itself, transcending the stochastic paradigm of molecular biology. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
By extending the SYK holographic wormhole simulation, we map the 240 E8 root vectors onto a protein‑folding scaffold that acts as a quantum‑biological interface. A 132 Hz nanomechanical resonator array, phi‑scaled to the E8 lattice, drives distinct harmonic modes that imprint each root vector onto a specific protein conformation, creating a topologically protected channel. Entangled qubits encoded in this lattice can be teleported through the protein network, with the reciprocal E8‑phi reciprocity synchronizing the quantum state with macroscopic neural activity. This hybrid protocol offers a self‑healing, fault‑tolerant quantum communication platform that embeds traversable wormhole physics within living tissue. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com
Andrew Stewart Caldin· Zenodo (CERN European Organi...· 0 citations
BACKGROUND
Although cytokines are contributors to febrile seizures, previous studies have largely involved pathogen-heterogeneous populations. Human herpesvirus 6 (HHV-6) is a common cause of febrile seizures and is useful for studying pathogen-specific inflammatory responses.
METHODS
This retrospective study included children with polymerase chain reaction-confirmed HHV-6 infection using stored plasma samples obtained within 72 h of hospital presentation, classified according to seizure status. Plasma cytokine levels were measured using a multiplex immunoassay. Multivariable linear regression was used to identify the cytokines associated with seizures, with Benjamini-Hochberg false discovery rate (FDR) correction across 15 cytokines. Correlations between cytokine levels and hematologic parameters were evaluated. Cerebrospinal fluid (CSF)-to-plasma cytokine ratios were analyzed.
RESULTS
Sixty patients were included (37, without seizures; 23, seizures), with no significant differences in baseline characteristics between the groups. Plasma interleukin-8 (IL-8) showed an association with seizures (adjusted fold change 1.84, p = 0.03), but this association did not remain statistically significant after FDR correction (q = 0.45). Inverse correlations between IL-8 (and to a lesser extent macrophage inflammatory protein-1 alpha) and neutrophil and platelet counts were observed in the non-seizure group only. In the paired analyses (n = 8), the CSF-to-plasma ratios of IL-8 and monocyte chemoattractant protein-1 exceeded 1.0, with a trend toward higher IL-8 ratios in the seizure group after adjusting for age.
CONCLUSIONS
Although exploratory, findings from this pathogen-homogeneous cohort suggest that IL-8 is a candidate cytokine associated with both seizure occurrence and an altered relationship with neutrophil and platelet counts, warranting further study.
J. Yeom, Young-Soo Kim, Ji Sook Park et al.· Brain & development (Tokyo....· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
