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1. Tracing the Evolution of Information Transparency for OpenAI’s GPT Models through a Biographical Approach

   https://doi.org/10.1609/aies.v7i1.31757  

   Xu, Zhihan; Mustafaraj, Eni (October 2024, Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society)

   Das, Sanmay; Green, Brian Patrick; Varshney, Kush; Ganapini, Marianna; Renda, Andrea (Ed.)

   Information transparency, the open disclosure of information about models, is crucial for proactively evaluating the potential societal harm of large language models (LLMs) and developing effective risk mitigation measures. Adapting the biographies of artifacts and practices (BOAP) method from science and technology studies, this study analyzes the evolution of information transparency within OpenAI’s Generative Pre-trained Transformers (GPT) model reports and usage policies from its inception in 2018 to GPT-4, one of today’s most capable LLMs. To assess the breadth and depth of transparency practices, we develop a 9-dimensional, 3-level analytical framework to evaluate the comprehensiveness and accessibility of information disclosed to various stakeholders. Findings suggest that while model limitations and downstream usages are increasingly clarified, model development processes have become more opaque. Transparency remains minimal in certain aspects, such as model explainability and real-world evidence of LLM impacts, and the discussions on safety measures such as technical interventions and regulation pipelines lack in-depth details. The findings emphasize the need for enhanced transparency to foster accountability and ensure responsible technological innovations. 

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2. Sensor Reproducibility Analysis: Challenges and Potential Solutions

   https://doi.org/10.1149/2754-2726/ad9936  

   Sekhar, Praveen Kumar; Billey, Wayant; Begay, Makeiyla; Thomas, Bradley; Woody, Clarencia; Soundappan, Thiagarajan (December 2024, ECS Sensors Plus)

   The ability to repeat research is vital in confirming the validity of scientific discovery and is relevant to ubiquitous sensor research. Investigation of novel sensors and sensing mechanisms intersect several Federal and non-Federal agencies. Despite numerous studies on sensors at different stages of development, the absence of new field-ready or commercial sensors seems limited by reproducibility. Current research practices in sensors needs sustainable transformations. The scientific community seeks ways to incorporate reproducibility and repeatability to validate published results. A case study on the reproducibility of low-cost air quality sensors is presented. In this context, the article discusses (a) open source data management frameworks in alignment with findability, accessibility, interoperability, and reuse (FAIR) principles to facilitate sensor reproducibility; (b) suggestions for journals focused on sensors to incorporate a reproducibility editorial board and incentivization for data sharing; (c) practice of reproducibility by targeted focus issues; and (d) education of current and the next generation of diverse student and faculty community on FAIR principles. The existence of different types of sensors such as physical, chemical, biological, and magnetic (to name a few) and the fact that the sensing field spans multiple disciplines (electrical engineering, mechanical engineering, physics, chemistry, and electrochemistry) call for a generic model for reproducibility. Considering the available metrics, the authors propose eight FAIR metric standards to that transcend disciplines: citation standards, design and analysis transparency, data transparency, analytical methods transparency, research materials transparency, hardware transparency, preregistration of studies, and replication. 

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3. Nanomechanical mapping in air or vacuum using multi-harmonic signals in tapping mode atomic force microscopy

   https://doi.org/DOI: 10.1088/1361-6528/ab9390  

   Shaik, N. H. (August 2020, Nanotechnology)

   We present a method by which multi-harmonic signals acquired during a normal tapping mode (amplitude modulated) AFM scan of a sample in air or vacuum with standard microcantilevers can be used to map quantitatively the local mechanical properties of the sample such as elastic modulus, adhesion, and indentation. The approach is based on the observation that during the tapping mode operation in air or vacuum, the 0th and 2nd harmonic signals of microcantilever vibration are encountered under most operating conditions and can be mapped with sufficient signal to noise ratio. By measuring the amplitude and phase of the driven harmonic as well as the 0th and 2nd harmonic observables, we find analytical/semi-analytical formulas that relate these multi-harmonic observables to local mechanical properties for several classical tip-sample interaction models. Least squares estimation of the local mechanical properties is performed pixel by pixel. The method is validated through computations as well as experimental data acquired on a polymer blend made of Polystyrene and Polyolefin elastomer. 

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4. A graph based approach to model charge transport in semiconducting polymers

   https://doi.org/10.1038/s41524-022-00714-w  

   Noruzi, Ramin; Lim, Eunhee; Pokuri, Balaji Sesha Sarath; Chabinyc, Michael L.; Ganapathysubramanian, Baskar (March 2022, npj Computational Materials)

   Abstract Charge transport in molecular solids, such as semiconducting polymers, is strongly affected by packing and structural order over several length scales. Conventional approaches to modeling these phenomena range from analytical models to numerical models using quantum mechanical calculations. While analytical approaches cannot account for detailed structural effects, numerical models are expensive for exhaustive (and statistically significant) analysis. Here, we report a computationally scalable methodology using graph theory to explore the influence of molecular ordering on charge mobility. This model accurately reproduces the analytical results for transport in nematic and isotropic systems, as well as experimental results of the dependence of the charge carrier mobility on orientation correlation length for polymers. We further model how defect distribution (correlated and uncorrelated) in semiconducting polymers can modify the mobility, predicting a critical defect density above which the mobility plummets. This work enables rapid (and computationally extensible) evaluation of charge mobility semiconducting polymer devices. 

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5. Merging Electric Bacteria with Paper

   https://doi.org/10.1002/admt.201800118  

   Gao, Yang; Choi, Seokheun (July 2018, Advanced Materials Technologies)

   Abstract Paper‐based electronics (papertronics) are recently considered as one of the most exciting device platforms because of their flexibility, sustainability, eco‐friendliness, and low cost as well as their excellent mechanical, dielectrical, and fluidic properties. Now, innovative structure engineering techniques can manipulate diameters of the cellulose fibers of paper, smoothing the roughness and controlling the transparency for numerous device applications. Novel functionalization techniques of paper with organic, inorganic, and biological entities enable many engineering possibilities, revolutionizing papertronics for the next generation of electronics. Among those techniques for new functionalities, integrating electric bacteria into paper has attracted considerable interest as a new energy technique for papertronics. Paper has unique synergistic characteristics including a porous and hydrophilic environment for bacterial viability, a high surface area for bacterial accumulation, and sustainability even in resource‐limited settings. In this work, comprehensive analytical and experimental approaches to provide a novel but realistic and accessible power source from bacteria loaded into paper are pursued. This report provides new approaches to revolutionarily activate the biobattery and significantly improve its shelf life. Furthermore, for the first time the practical efficacy of the explored technique is ensured, generating on‐demand energy even in resource‐limited environments. 

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