25 papers · ranked by Valyu relevance
Hai Dinh-Tuan, Maria Mora-Martinez, Felix Beierle, Sandro Rodriguez Garzon
'Sandro Rodriguez Garzon'] The microservice architectural style has gained much attention from both academia and industry recently as a novel way to design, develop, and deploy cloud-native applications.This concept encourages the decomposition of a monolith into multiple independently deployable units. A typical…
Authors not listed
Although all molecular assemblies show some degree of flexibility, the past decade has shown that there is a higher propensity among framework materials to display large-scale dynamic behavior. Beyond the seminal discoveries of the important flexibility of metal–organic frameworks (MOFs), covalent organic frameworks…
Erik Svensson Grape, Alfredo Lopez-Olvera, Yan Zheng, Yu Xia + 2 more
Structure directing agents (SDAs) are widely used in the synthesis of ubiquitous porous materials, such as zeolites, but their application and role in the synthesis of metal-organic frameworks (MOFs) has been comparatively understudied. Here we report a diverse family of anionic MOFs with all frameworks constructed…
Qihong Pan, Yang Liu, Shaofeng Wei
A drug store was never just an area to fill personal solution. Patients considered drug specialists to be counsels, somebody who could help them pick an over-the-counter treatment or understanding the portion and directions for a solution. Drug stores, similar to the remainder of the medical services business, are…
Karolina Lobczowska, Anna Banik, Piotr Romaniuk, Sarah Forberger + 11 more
'Thomas Kubiak' 'Biljana Meshkovska' 'Agnieszka Neumann-Podczaska' 'Krzysztof Kaczmarek' 'Marie Scheidmeir' 'Janine Wendt' 'Daniel A. Scheller' 'Katarzyna Wieczorowska-Tobis' 'Juergen M. Steinacker' 'Hajo Zeeb' 'Aleksandra Luszczynska'] Background Policy frameworks focusing on policy implementation may vary in terms of…
Marek Babiuch, Petr Foltynek, Francesco Mercaldo
This article focuses on the area of software development for microcontrollers and details the implementation of modern programming practices and principles in embedded systems and IoT applications. This article explains how we implemented previously unimplemented principles and applied design patterns for quality…
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
Disappearing frameworks represent a new type of thinking for web development. In the current mainstream JavaScript frameworks, the focus has been on developer experience at the cost of user experience. Disappearing frameworks shift the focus by aiming to deliver as little, even zero, JavaScript to the client. In this…
Rainer Mere, Merike Sisask, Peeter Värnik, Chantal Van Audenhove + 1 more
The development of our framework typology followed an iterative, inductive process. Initial extraction captured the specific framework names as reported by study authors. Through iterative review, we grouped frameworks into categories based on their theoretical roots, stated purposes, and level of analysis. Initial…
Amine Ben Hassouna
Modern software systems are guided by hierarchical architectural concepts—software architectures, reference architectures, and architectural frameworks—each operating at a distinct level of abstraction. These artifacts promote reuse, scalability, and consistency, but also embed tradeoffs that shape critical quality…
Shreyansh Agrawal, Harsh B. Anadkat, Kiran K. Athimoolam, Harsh Bhardwaj + 8 more
Recent advances in artificial intelligence (AI) have prompted claims about autonomous “AI scientists,” yet systematic evaluations of these capabilities remain scarce. This exploratory study investigates whether current AI frameworks can execute scientific research tasks beyond isolated demonstrations. We tested eight…
Juho Vepsäläinen, Arto Hellas, Petri Vuorimaa
The evolution of the web can be characterized as an emergence of frameworks paving the way from static websites to dynamic web applications. As the scope of web applications has grown, new technical challenges have emerged, leading to the need for new solutions. The latest of these developments is the rise of so-called…
Sushil Chandra
Product architecture is defined as allocation of components to functions and their interfaces. But what makes this formulation insufficient for automobile architecture is their multi-layered allocation of components and the visual aspect of the architecture. This paper suggests, through an empirical study of…
Krenar Kepuska, Milo Tomasevic, Sedat Akleylek
Higher education institutions (HEIs) have a significant presence in cyberspace. Data breaches in academic institutions are becoming prevalent. Online platforms in HEIs are a new learning mode, particularly in the post-COVID era. Recent studies on information security indicate a substantial increase in cybersecurity…
Francesco Dente, Dario Satriani, Paolo Papotti
Large Language Model (LLM) agents demonstrate strong performance in autonomous code generation under loose specifications. However, production-grade software requires strict adherence to structural constraints, such as architectural patterns, databases, and object-relational mappings. Existing benchmarks often overlook…
Hu Wei
AI agent systems increasingly rely on reusable non-LLM engineering infrastructure that packages tool mediation, context handling, delegation, safety control, and orchestration. Yet the architectural design decisions in this surrounding infrastructure remain understudied. This paper presents a protocol-guided…
Gianluca Quargnali, Pablo Rivera-Fuentes
Deep learning methods for protein structure generation, sequence design, and structure and property prediction have created unprecedented opportunities for protein engineering and drug discovery. However, using these tools often requires navigating incompatible software environments, diverse input/output formats, and…
Aroosha Faheem, Mason C. Lawrence, Gazi A. Bushra, Barry Blight
Giant Unilamellar Vesicles (GUVs) are ideal for studying cellular mechanisms due to their cell-mimicking morphology and size. The formation, stability, and immobilization of these vesicles are crucial for drug delivery and bioimaging studies. Separately, metal-organic frameworks (MOFs) are actively researched owing to…
Authors not listed
Self-driving laboratories (SDLs) promise accelerated scientific discovery and product development by closing the loop between robotic execution and AI/ML-driven decision making. In practice, however, SDL orchestration remains fragmented; workflows are typically encoded as laboratory-specific scripts or bespoke…
Authors not listed
Two-dimensional polymers (2DPs) are an interesting class of polymers due to their reticular synthetic assembly which make them an ideal platform for designing materials with specific target properties. Predicting and understanding their elastic behavior is crucial for their application. However, a realistic calculation…
Connor Pitman, Ezry Santiago-McRae, Ruchi Lohia, Kaitlin Bassi + 3 more
Clusters of hydrophobic residues are known to promote structured protein stability and drive protein aggregation. Recent work has shown that identifying contiguous hydrophobic residue clusters (termed “blobs”) has proven useful in both intrinsically disordered protein (IDP) simulation and human genome studies. However…
Chuhao Wu, José Miguel Pérez-Álvarez, Adrian Mos, John M. Carroll
Mobile applications play an important role in the economy today and there is an increasing trend for app enablement on multiple platforms. However, creating, distributing, and maintaining an application remain expert tasks. Even for software developers, the process can be error-prone and resource-consuming, especially…
Authors not listed
This comprehensive review examines the evolution of autonomous materials synthesis laboratories that integrate artificial intelligence with advanced robotics to accelerate discovery. Traditional materials development pipelines typically require 10-20 years, but self-driving laboratories (SDLs) and Materials…
Cheng Zhang, Adam Leach, Thomas Makkink, Miguel Arbesú + 11 more
Protein structure prediction field has been revolutionised by deep learning with protein folding models such as AlphaFold 2 and ESMFold. These models enable rapid in silico prediction and have been integrated into de novo protein design and protein-protein interaction (PPI) prediction. However, biologically relevant…
Mareike Kortmann, Anne Chao, Chun-Huo Chiu, Christoph Heibl + 18 more
The use of metabarcoding for insect species identification has grown rapidly, but the absence of abundance data hinders meaningful diversity metrics like sample coverage-standardized species richness. Additionally, the vast number of taxa often lacks a unified phylogeny or trait database. We present a framework for…
Yangyang Miao, Bruno Correia
A major challenge in the field of computational de novo protein design is the exploration of uncharted areas within protein structural space, i.e., generating “designable” protein structures that nature has not explored. However, the large degrees of freedom of protein structural backbones complicate the sampling…