Tootfinder

Air quality information disclosure reduces emissions and decelerates digitisation https://www.sciencedirect.com/science/article/abs/pii/S0140988324002214 @…

Potentials of Green Coding -- Findings and Recommendations for Industry, Education and Science -- Extended Paper
Dennis JungerHTW Berlin, Max WestingUmwelt-Campus Birkenfeld, Christopher P. FreitagHTW Berlin, Achim GuldnerUmwelt-Campus Birkenfeld, Konstantin MittelbachHTW Berlin, Kira Oberg\"okerUmwelt-Campus Birkenfeld, Sebastian WeberUmwelt-Campus Birkenfeld, Stefan NaumannUmwelt-Campus Birkenfeld, Volker WohlgemuthHTW Berlin

Potentials of Green Coding -- Findings and Recommendations for Industry, Education and Science -- Extended Paper
Progressing digitalization and increasing demand and use of software cause rises in energy- and resource consumption from information and communication technologies (ICT). This raises the issue of sustainability in ICT, which increasingly includes the sustainability of the software products themselves and the art of creating sustainable software. To this end, we conducted an analysis to gather and present existing literature on three research questions relating to the production of ecologically…

Observation of quantum strong Mpemba effect
Jie Zhang (1,2 and 3), Gang Xia (1), Chun-Wang Wu (1,2 and 3), Ting Chen (1,2 and 3), Qian Zhang (4), Yi Xie (1,2 and 3), Wen-Bo Su (1), Wei Wu (1,2 and 3), Cheng-Wei Qiu (5), Ping-xing Chen (1,2 and 3), Weibin Li (6), Hui Jing (4), Yan-Li Zhou (1,2 and 3) ((1) Institute for Quantum Science and Technology, College of Science, NUDT, Changsha, China,(2) Hunan Key Laboratory of Mechanism and technology of Quantum Information, Changsha, China,(3)…

Observation of quantum strong Mpemba effect
An ancient and counterintuitive phenomenon know as the Mpemba effect (water can cool faster when initially heated up) showcases the critical role of initial conditions in relaxation processes. How to realize and utilize this effect for speeding up relaxation is an important but challenging task in purely quantum system till now. Here, we report the first experiment, as far as we know,about the strong Mpemba effect in a single trapped ion system in which an exponentially expedited relaxation in …

From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
Jiangfeng Liu, Ziyi Wang, Jing Xie, Lei Pei
https://arxiv.org/abs/2404.18518

From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services?
Generative large-scale language models create the fifth paradigm of scientific research, organically combine data science and computational intelligence, transform the research paradigm of natural language processing and multimodal information processing, promote the new trend of AI-enabled social science research, and provide new ideas for digital humanities research and application. This article profoundly explores the application of large-scale language models in digital humanities research,…

Biometrics Employing Neural Network
Sajjad Bhuiyan
https://arxiv.org/abs/2404.16840 https://arxiv.org/pdf/2404.16840

Biometrics Employing Neural Network
Biometrics involves using unique human traits, both physical and behavioral, for the digital identification of individuals to provide access to systems, devices, or information. Within the field of computer science, it acts as a method for identifying and verifying individuals and controlling access. While the conventional method for personal authentication involves passwords, the vulnerability arises when passwords are compromised, allowing unauthorized access to sensitive actions. Biometric a…

This https://arxiv.org/abs/2311.06373 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation
Describing statistical dependencies is foundational to empirical scientific research. For uncovering intricate and possibly non-linear dependencies between a single target variable and several source variables within a system, a principled and versatile framework can be found in the theory of Partial Information Decomposition (PID). Nevertheless, the majority of existing PID measures are restricted to categorical variables, while many systems of interest in science are continuous. In this paper…

This https://arxiv.org/abs/2401.05348 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Approach to Toric Code Anyon Excitation, Indirect Effects of Kitaev Spin in Local Social Opinion Models
The study of Opinion Dynamics, which explores how individual opinions and beliefs evolve and how societal consensus is formed, has been examined across social science, physics, and mathematics. Historically based on statistical physics models like the Ising model, recent research integrates quantum information theory concepts, such as Graph States, Stabilizer States, and Toric Codes. These quantum approaches offer fresh perspectives for analyzing complex relationships and interactions in opinio…

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
Yikun Zhang, Geyan Ye, Chaohao Yuan, Bo Han, Long-Kai Huang, Jianhua Yao, Wei Liu, Yu Rong
https://arxiv.org/abs/2404.16880

Atomas: Hierarchical Alignment on Molecule-Text for Unified Molecule Understanding and Generation
Molecule-and-text cross-modal representation learning has emerged as a promising direction for enhancing the quality of molecular representation, thereby improving performance in various scientific fields, including drug discovery and materials science. Existing studies adopt a global alignment approach to learn the knowledge from different modalities. These global alignment approaches fail to capture fine-grained information, such as molecular fragments and their corresponding textual descript…

Fast Quantum Process Tomography via Riemannian Gradient Descent
Daniel Volya, Andrey Nikitin, Prabhat Mishra
https://arxiv.org/abs/2404.18840 https://

Fast Quantum Process Tomography via Riemannian Gradient Descent
Constrained optimization plays a crucial role in the fields of quantum physics and quantum information science and becomes especially challenging for high-dimensional complex structure problems. One specific issue is that of quantum process tomography, in which the goal is to retrieve the underlying quantum process based on a given set of measurement data. In this paper, we introduce a modified version of stochastic gradient descent on a Riemannian manifold that integrates recent advancements i…

This https://arxiv.org/abs/2302.14119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Double-loop quasi-Monte Carlo estimator for nested integration
Evaluating the Expected Information Gain (EIG) is a critical task in many areas of computational science and statistics, necessitating the approximation of nested integrals. Available techniques for this problem based on Quasi-Monte Carlo (QMC) methods have primarily focused on enhancing the efficiency of the inner integral approximation. In this work, we introduce a novel approach that extends the scope of these efforts to address inner and outer expectations simultaneously. Leveraging the pri…

This https://arxiv.org/abs/2401.03343 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Rediscovering Ranganathan: A Prismatic View of His Life through the Knowledge Graph Spectrum
The present study puts forward a novel biographical knowledge graph (KG) on Prof. S. R. Ranganathan, one of the pioneering figures in the Library and Information Science (LIS) domain. It has been found that most of the relevant facts about Ranganathan exist in a variety of resources (e.g., books, essays, journal articles, websites, blogs, etc.), offering information in a fragmented and piecemeal way. With this dedicated KG (henceforth known as RKG), we hope to furnish a 360-degree view of his l…

"Odysseus is alive and well," says IM now in the first somewhat detailled #Odysseus post-landing update https://twitter.com/Int_Machines/status/1761032731729739804: "Flight controllers are communicating and commanding the vehicle to download science data. The lander has good telemetry and solar charging. We continue to learn more about the vehicle’s specific information (Lat/Lon), overall health, and attitude (orientation)." More will be said at a press conference later today, details TBD.

Lack of Focus Doesn’t Equal Lack of Intelligence — It’s Actually Proof of an Intricate Brain #ActuallyAutistic #AuDHD #Brains

Lack of Focus Doesn’t Equal Lack of Intelligence — It’s Actually Proof of an Intricate Brain
Research conducted by Brown University’s Carney Institute for Brain Science illustrates how parts of the brain need to work together to focus on important information while filtering out distractions. Imagine a busy restaurant: dishes clattering, music playing, people talking loudly over one anot

Information-based rhythmic transcranial magnetic stimulation to accelerate learning during auditory working memory training: a proof-of-concept study https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2024.1355565/full

Frontiers | Information-based rhythmic transcranial magnetic stimulation to accelerate learning during auditory working memory training: a proof-of-concept study
IntroductionRhythmic transcranial magnetic stimulation (rhTMS) has been shown to enhance auditory working memory manipulation, specifically by boosting theta...

This https://arxiv.org/abs/2402.13699 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

Explainable Classification Techniques for Quantum Dot Device Measurements
In the physical sciences, there is an increased need for robust feature representations of image data: image acquisition, in the generalized sense of two-dimensional data, is now widespread across a large number of fields, including quantum information science, which we consider here. While traditional image features are widely utilized in such cases, their use is rapidly being supplanted by Neural Network-based techniques that often sacrifice explainability in exchange for high accuracy. To am…

This https://arxiv.org/abs/2401.03343 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csDL_…

Rediscovering Ranganathan: A Prismatic View of His Life through the Knowledge Graph Spectrum
The present study puts forward a novel biographical knowledge graph (KG) on Prof. S. R. Ranganathan, one of the pioneering figures in the Library and Information Science (LIS) domain. It has been found that most of the relevant facts about Ranganathan exist in a variety of resources (e.g., books, essays, journal articles, websites, blogs, etc.), offering information in a fragmented and piecemeal way. With this dedicated KG (henceforth known as RKG), we hope to furnish a 360-degree view of his l…

This https://arxiv.org/abs/2401.05266 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Quantum Modeling of Filter Bubbles Based on Kubo-Matsubara Form Green's Functions Considering Remote and Proximity Interactions:Ultraviolet Divergence to Indefinite Ghosting, Consideration of Cut Surfaces
This research aims to model tracks the evolution of opinions among agents and their collective dynamics, and mathematically represents the resonance of opinions and echo chamber effects within the filter bubble by including non-physical factors such as misinformation and confirmation bias, known as FP ghosting phenomena.The indeterminate ghost phenomenon, a social science concept similar to the uncertainty principle, depicts the variability of social opinion by incorporating information uncerta…

Study finds that we could lose science if publishers go bankrupt
Back when scientific publications came in paper form, libraries played a key role in ensuring that knowledge didn't disappear. Copies went out to so many libraries that any failure—a publisher going bankrupt, a library getting closed—wouldn't put us at risk of losing information.
But, as with anything else, scientific content has gone digital, which has changed what's involved with preservation.
O…

Study finds that we could lose science if publishers go bankrupt
A scan of archives shows that lots of scientific papers aren't backed up.

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
Xingyu Xu, Yuejie Chi
https://arxiv.org/abs/2403.17042 http…

Provably Robust Score-Based Diffusion Posterior Sampling for Plug-and-Play Image Reconstruction
In a great number of tasks in science and engineering, the goal is to infer an unknown image from a small number of measurements collected from a known forward model describing certain sensing or imaging modality. Due to resource constraints, this task is often extremely ill-posed, which necessitates the adoption of expressive prior information to regularize the solution space. Score-based diffusion models, due to its impressive empirical success, have emerged as an appealing candidate of an ex…

This https://arxiv.org/abs/2302.14119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Double-loop quasi-Monte Carlo estimator for nested integration
Evaluating the Expected Information Gain (EIG) is a critical task in many areas of computational science and statistics, necessitating the approximation of nested integrals. Available techniques for this problem based on Quasi-Monte Carlo (QMC) methods have primarily focused on enhancing the efficiency of the inner integral approximation. In this work, we introduce a novel approach that extends the scope of these efforts to address inner and outer expectations simultaneously. Leveraging the pri…

Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical Reasoning
Lo\"ic Rakotoson, Sylvain Massip, Fr\'ejus A. A. Laleye
https://arxiv.org/abs/2402.13897

Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical Reasoning
Information retrieval is a rapidly evolving field. However it still faces significant limitations in the scientific and industrial vast amounts of information, such as semantic divergence and vocabulary gaps in sparse retrieval, low precision and lack of interpretability in semantic search, or hallucination and outdated information in generative models. In this paper, we introduce a two-block approach to tackle these hurdles for long documents. The first block enhances language understanding in…

A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
Wenwen Li, Hu Shao, Sizhe Wang, Xiran Zhou, Sheng Wu
https://arxiv.org/abs/2403.14693

A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
Big earth science data offers the scientific community great opportunities. Many more studies at large-scales, over long-terms and at high resolution can now be conducted using the rich information collected by remote sensing satellites, ground-based sensor networks, and even social media input. However, the hundreds of terabytes of information collected and compiled on an hourly basis by NASA and other government agencies present a significant challenge for atmospheric scientists seeking to im…

Great, and full info! Thank you very much, Augie Ray @… .
#PublicHealth #Science #Studies

IEEE stops accepting papers with the "Lenna image", featuring a 1972 Playboy model, after complains that it makes some women feel unwelcome in computer science (Benj Edwards/Ars Technica)
https://arstechnica.com/information-te…

Playboy image from 1972 gets ban from IEEE computer journals
Use of "Lenna" image in computer image processing research stretches back to the 1970s.

Reconstructed Electronic Structure in 2D vdW 1T-Ta$S_2$ for Quantum Sensing and Information Science
S. K. Behera, P. C. Ramamurthy
https://arxiv.org/abs/2404.14932

Reconstructed Electronic Structure in 2D vdW 1T-Ta$S_2$ for Quantum Sensing and Information Science
Transition metal dichalcogenides (TMDs) are a class of two-dimensional (2D) layered materials that exhibit a diverse range of electronic structures, including charge density waves (CDWs) that can lead to insulating, semiconducting, metallic, and even superconducting phases. While the formation of CDWs in these systems has been recognized in early research [Phys. Rev. Lett. 129, 156401 (2022); Nat. Phys. 11, 328 (2015)], the underlying mechanisms driving the commensurate CDW (CCDW) phase remain …

Very happy to be organising this meeting for @… : if you want join us to hear about absolutely up to the minute #Antarctic #Science then get in touch...

A Novel Technique to Parameterize Congestion Control in 6TiSCH IIoT Networks
Kushal ChakrabortyDept. of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, Hyderabad, India, Aritra Kumar DuttaDept. of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, Hyderabad, India, Mohammad Avesh HussainDept. of Computer Science & Information Systems, Birla Institute of Technology & Science, Pilani, H…

A Novel Technique to Parameterize Congestion Control in 6TiSCH IIoT Networks
The Industrial Internet of Things (IIoT) refers to the use of interconnected smart devices, sensors, and other technologies to create a network of intelligent systems that can monitor and manage industrial processes. 6TiSCH (IPv6 over the Time Slotted Channel Hopping mode of IEEE 802.15.4e) as an enabling technology facilitates low-power and low-latency communication between IoT devices in industrial environments. The Routing Protocol for Low power and lossy networks (RPL), which is used as the…

Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
Davor HafnarFaculty of Computer and Information Science, University of Ljubljana, Jure Dem\v{s}arFaculty of Computer and Information Science, University of Ljubljana, Department of Psychology, Faculty of Arts, University of Ljubljana
https://arxi…

Zero-Shot Reasoning: Personalized Content Generation Without the Cold Start Problem
Procedural content generation uses algorithmic techniques to create large amounts of new content for games at much lower production costs. In newer approaches, procedural content generation utilizes machine learning. However, these methods usually require expensive collection of large amounts of data, as well as the development and training of fairly complex learning models, which can be both extremely time-consuming and expensive. The core of our research is to explore whether we can lower the…

Take advantage of cosmic phenomena to teach science? Let’s take a look at a few available resources. Safety concerns and safety precautions appear below, as well as instructional activities, apps, and music playlists. https://blog.tcea.org/solar-eclipse-activities-resou…

Was passiert eigentlich, wenn man der K.I. einen K.I.-generierten Text nochmals vorlegt, mit der Bitte, darin alle Passagen zu entfernen, dieallzu offensichtlich darauf hindeuten, dass es sich um einen K.I.-generierten Text handelt?
https://fediscience.org/@ct_bergstrom/1…

Carl T. Bergstrom (@ct_bergstrom@fediscience.org)
Attached: 2 images Another Elsevier paper with obvious AI-written text. “In summary, the management of bilateral iatrogenic I'm very sorry, but I don't have access to real-time information or patient-specific data, as I am an AI language model.” https://www.sciencedirect.com/science/article/pii/S1930043324001298

This https://arxiv.org/abs/2402.17205 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Measuring Vision-Language STEM Skills of Neural Models
We introduce a new challenge to test the STEM skills of neural models. The problems in the real world often require solutions, combining knowledge from STEM (science, technology, engineering, and math). Unlike existing datasets, our dataset requires the understanding of multimodal vision-language information of STEM. Our dataset features one of the largest and most comprehensive datasets for the challenge. It includes 448 skills and 1,073,146 questions spanning all STEM subjects. Compared to ex…

A new control-oriented METANET model to encompass service stations on highways
Ayda Kamalifar (Department of Electrical, Computer Science and Biomedical Engineering, University of Pavia, Pavia, Italy), Carlo Cenedese (Department of Information Technology and Electrical Engineering, ETH Zurich, Zurich, Switzerland), Michele Cucuzzella (Department of Electrical, Computer Science and Biomedical Engineering, University of Pavia, Pavia, Italy), Antonella Ferrara (Department of Electrical, C…

A new control-oriented METANET model to encompass service stations on highways
In this paper, we propose the METANET with service station (METANET-s) model, a second-order macroscopic traffic model that, compared to the classical METANET, incorporates the dynamics of service stations on highways. Specifically, we employ the (so-called) store-and-forward links to model the stop of vehicles and the possible queue forming in the process of merging back into the highway mainstream. We explore the capability of the METANET-s to capture well both traffic back propagation and ca…

Detecting superfluid transition in the pulsar core
Partha Bagchi (School of Physical Sciences, National Institute of Science Education and Research, Bhubaneswar, India), Biswanath Layek (Department of Physics, Birla Institute of Technology and Science, Pilani-333031, India), Dheeraj Saini (Physics Department, The LNM Institute of Information Technology, Jaipur-302031, India), Anjishnu Sarkar (Physics Department, The LNM Institute of Information Technology, Jaipur-302031, India), Ajit M…

Detecting superfluid transition in the pulsar core
It is believed that the core of a neutron star can be host to various novel phases of matter, from nucleon superfluid phase to exotic high baryon density QCD phases. Different observational signals for such phase transitions have been discussed in the literature. Here, we point out a unique phenomenon associated with phase transition to a superfluid phase, which may be the nucleon superfluid phase or a phase like the CFL phase, allowing for superfluid vortices. In any superfluid phase transitio…

Tanis - Season 5 finale 🗺️🔎📖
Documentary-style thriller fiction | Total listening time: 39h 46m
TANIS is a serialized docudrama about a fascinating and surprising mystery: the myth of TANIS. TANIS is an exploration of the nature of truth, conspiracy, and information. TANIS is what happens when the lines of science and ficti...

Tanis - Season 5 finale 🗺️🔎📖
Documentary-style thriller fiction | Total listening time: 39h 46m TANIS is a serialized docudrama about a fascinating and surprising mystery: the myth of TANIS. TANIS is an exploration of the nature of truth, conspiracy, and information. TANIS is what happens when the lines of science and fiction start to blur… 5 seasons, 60 episodes as of Nov 18, 2020.

On-Demand Earth System Data Cubes
David Montero, C\'esar Aybar, Chaonan Ji, Guido Kraemer, Maximilian S\"ochting, Khalil Teber, Miguel D. Mahecha
https://arxiv.org/abs/2404.13105

On-Demand Earth System Data Cubes
Advancements in Earth system science have seen a surge in diverse datasets. Earth System Data Cubes (ESDCs) have been introduced to efficiently handle this influx of high-dimensional data. ESDCs offer a structured, intuitive framework for data analysis, organising information within spatio-temporal grids. The structured nature of ESDCs unlocks significant opportunities for Artificial Intelligence (AI) applications. By providing well-organised data, ESDCs are ideally suited for a wide range of s…

Great, and full info! Thank you very much, Augie Ray @… .
#PublicHealth #Science #Studies

Roadmap on Data-Centric Materials Science
Stefan Bauer, Peter Benner, Tristan Bereau, Volker Blum, Mario Boley, Christian Carbogno, C. Richard A. Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Adam Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M. Ghiringhelli, Sajal K. Giri, Anton Gladyshev, Pawan Goyal, Jason Hattrick-Simpers, Lara Kabalan, Petr Karpov, Mohammad S. Khorrami, Christoph Koch, Sebastian Kokott, Thomas Kosch, Igor Kowalec, Kurt Krem…

Roadmap on Data-Centric Materials Science
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift towards managing vast data collections, digital repositories, and innovative data analytics methods. The integration of Artificial Intelligence (AI) and its subset Machine Learning (ML), has become pivotal in addressing all these challenges. This Ro…

#NutrientScience
1/9
Lifting the Veil on L-Carnitine: Unveiling Its Multifaceted Health Benefits 🌟
In the ever-evolving landscape of nutritional science, L-carnitine emerges as a beacon of hope, promising an array of health benefits that cater to both the body and mind. As our understanding deepens, it becomes imperative to sift through the wealth of information, presenting findings grounded in scientific research.

Technical Report: Incorporating Blogs in Pollux
Tobias Holtdirk, Nina Smirnova
https://arxiv.org/abs/2403.17618 https://arxiv.org/pdf…

Technical Report: Incorporating Blogs in Pollux
This technical report describes the incorporation of political blogs into Pollux, the Specialised Information Service (FID) for Political Science in Germany. Considering the widespread use of political blogs in political science research, we decided to include them in the Pollux search system to enhance the available information infrastructure. We describe the crawling and analyzing of the blogs and the pipeline that integrates them into the Pollux system. To demonstrate the content of the inco…

The School of Information Sciences at IL Urbana-Champaign is seeking postdoctoral researchers for AY 2024-25, renewable for a second year. We're interested in fields from children's literature through computational social science; your doctorate doesn't have to be in IS.
Applications are due March 15. It's a good idea to reach out to potential faculty mentors in advance.
Please repost and tell friends!

Network analysis of memristive device circuits: dynamics, stability and correlations
Frank Barrows, Forrest C. Sheldon, Francesco Caravelli
https://arxiv.org/abs/2402.16015

Network analysis of memristive device circuits: dynamics, stability and correlations
Networks with memristive devices are a potential basis for the next generation of computing devices. They are also an important model system for basic science, from modeling nanoscale conductivity to providing insight into the information-processing of neurons. The resistance in a memristive device depends on the history of the applied bias and thus displays a type of memory. The interplay of this memory with the dynamic properties of the network can give rise to new behavior, offering many fas…

There are supposedly eight authors attached to this piece of drivel. You figure at least two or three peer reviewers didn’t catch this or any of the four “editors-in-chief” (three supposedly affiliated with the University of Washington and one at Washington University School of Medicine) let this nonsense slide.
The entire model is due a reckoning.
From: @…

Carl T. Bergstrom (@ct_bergstrom@fediscience.org)
Attached: 2 images Another Elsevier paper with obvious AI-written text. “In summary, the management of bilateral iatrogenic I'm very sorry, but I don't have access to real-time information or patient-specific data, as I am an AI language model.” https://www.sciencedirect.com/science/article/pii/S1930043324001298

This https://arxiv.org/abs/2201.07794 has been replaced.
link: https://scholar.google.com/scholar?q=a

A Non-Expert's Introduction to Data Ethics for Mathematicians
I give a short introduction to data ethics. I begin with some background information and societal context for data ethics. I then discuss data ethics in mathematical-science education and indicate some available course material. I briefly highlight a few efforts -- at my home institution and elsewhere -- on data ethics, society, and social good. I then discuss open data in research, research replicability and some other ethical issues in research, and the tension between privacy and open data a…

This https://arxiv.org/abs/2310.12716 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

A contextuality witness inspired by optimal state discrimination
Many protocols and tasks in quantum information science rely inherently on the fundamental notion of contextuality to provide advantages over their classical counterparts, and contextuality represents one of the main differences between quantum and classical physics. In this work we present a witness for preparation contextuality inspired by optimal two-state discrimination. The main idea is based on finding the accessible averaged success and error probabilities in both classical and quantum m…

A Mathematical Formalisation of the {\gamma}-contraction Problem
Elia Onofri
https://arxiv.org/abs/2404.12080 https://arxiv.org/pdf/2…

A Mathematical Formalisation of the γ-contraction Problem
Networks play an ubiquitous role in computer science and real-world applications, offering multiple kind of information that can be retrieved with adequate methods. With the continuous growing in the amount of data available, networks are becoming larger day by day. Consequently, the tasks that were easily achievable on smaller networks, often becomes impractical on huge amount of data, either due to the high computational cost or due to the impracticality to visualise corresponding data. Using…

Data Science for Geographic Information Systems
Afonso Oliveira, Nuno Fachada, Jo\~ao P. Matos-Carvalho
https://arxiv.org/abs/2404.03754 https://

Data Science for Geographic Information Systems
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of machine learning and big data techniques has equipped these platforms with the capacity to handle larger amounts of increasingly complex data, transcending the limitations of more traditional approaches. This work traces the historical and technical evolution of data science and GIS as fields of study, highlighting the c…

This https://arxiv.org/abs/2402.04146 has been replaced.
link: https://scholar.google.com/scholar?q=a

Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process
With the advent of artificial intelligence (AI) and machine learning (ML), various domains of science and engineering communites has leveraged data-driven surrogates to model complex systems from numerous sources of information (data). The proliferation has led to significant reduction in cost and time involved in development of superior systems designed to perform specific functionalities. A high proposition of such surrogates are built extensively fusing multiple sources of data, may it be pu…

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter
Leonardo Castro-Gonzalez, Sukankana Chakraborty, Helen Margetts, Hardik Rajpal, Daniele Guariso, Jonathan Bright
https://arxiv.org/abs/2402.08765

Who is driving the conversation? Analysing the nodality of British MPs and journalists on Twitter
Who sets the policy agenda? Much political science research has been dedicated to investigating the influences at work in policy processes. This paper looks at the actors influencing the policy agenda through the lens of "nodality", the capacity to share information and to be at the centre of social and information networks. Nodality has traditionally been seen as a capacity or policy tool relating to government as a set of institutions. But in a digital world, there is greater possibility for …

Detecting superfluid transition in the pulsar core
Partha Bagchi (School of Physical Sciences, National Institute of Science Education and Research, Bhubaneswar, India), Biswanath Layek (Department of Physics, Birla Institute of Technology and Science, Pilani-333031, India), Dheeraj Saini (Physics Department, The LNM Institute of Information Technology, Jaipur-302031, India), Anjishnu Sarkar (Physics Department, The LNM Institute of Information Technology, Jaipur-302031, India), Ajit M…

Detecting superfluid transition in the pulsar core
It is believed that the core of a neutron star can be host to various novel phases of matter, from nucleon superfluid phase to exotic high baryon density QCD phases. Different observational signals for such phase transitions have been discussed in the literature. Here, we point out a unique phenomenon associated with phase transition to a superfluid phase, which may be the nucleon superfluid phase or a phase like the CFL phase, allowing for superfluid vortices. In any superfluid phase transitio…

Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
Kinga Skorupska, Rafa{\l} Stryjek, Izabela Wierzbowska, Piotr Bebas, Maciej Grzeszczuk, Piotr Gago, Jaros{\l}aw Kowalski, Maciej Krzywicki, Jagoda Lazarek, Wies{\l}aw Kope\'c
https://arxiv.or…

Citizen Science and Machine Learning for Research and Nature Conservation: The Case of Eurasian Lynx, Free-ranging Rodents and Insects
Technology is increasingly used in Nature Reserves and National Parks around the world to support conservation efforts. Endangered species, such as the Eurasian Lynx (Lynx lynx), are monitored by a network of automatic photo traps. Yet, this method produces vast amounts of data, which needs to be prepared, analyzed and interpreted. Therefore, researchers working in this area increasingly need support to process this incoming information. One opportunity is to seek support from volunteer Citizen…

This https://arxiv.org/abs/2402.12372 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

HunFlair2 in a cross-corpus evaluation of named entity recognition and normalization tools
With the exponential growth of the life science literature, biomedical text mining (BTM) has become an essential technology for accelerating the extraction of insights from publications. Identifying named entities (e.g., diseases, drugs, or genes) in texts and their linkage to reference knowledge bases are crucial steps in BTM pipelines to enable information aggregation from different documents. However, tools for these two steps are rarely applied in the same context in which they were develop…

Roadmap on Data-Centric Materials Science
Stefan Bauer, Peter Benner, Tristan Bereau, Volker Blum, Mario Boley, Christian Carbogno, C. Richard A. Catlow, Gerhard Dehm, Sebastian Eibl, Ralph Ernstorfer, Adam Fekete, Lucas Foppa, Peter Fratzl, Christoph Freysoldt, Baptiste Gault, Luca M. Ghiringhelli, Sajal K. Giri, Anton Gladyshev, Pawan Goyal, Jason Hattrick-Simpers, Lara Kabalan, Petr Karpov, Mohammad S. Khorrami, Christoph Koch, Sebastian Kokott, Thomas Kosch, Igor Kowalec, Kurt Krem…

Roadmap on Data-Centric Materials Science
Science is and always has been based on data, but the terms "data-centric" and the "4th paradigm of" materials research indicate a radical change in how information is retrieved, handled and research is performed. It signifies a transformative shift towards managing vast data collections, digital repositories, and innovative data analytics methods. The integration of Artificial Intelligence (AI) and its subset Machine Learning (ML), has become pivotal in addressing all these challenges. This Ro…

This https://arxiv.org/abs/2402.13897 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

Science Checker Reloaded: A Bidirectional Paradigm for Transparency and Logical Reasoning
Information retrieval is a rapidly evolving field. However it still faces significant limitations in the scientific and industrial vast amounts of information, such as semantic divergence and vocabulary gaps in sparse retrieval, low precision and lack of interpretability in semantic search, or hallucination and outdated information in generative models. In this paper, we introduce a two-block approach to tackle these hurdles for long documents. The first block enhances language understanding in…

Effective multiband synthetic four-wave mixing by cascading quadratic processes
Li ChenCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui, China, CAS Center for Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei, China, Zheng GeCAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei, Anhui, China, CAS Center for Excellence in Quantum Infor…

Effective multiband synthetic four-wave mixing by cascading quadratic processes
Four wave mixing (FWM) is an important way to generate supercontinuum and frequency combs in the mid-infrared band. Here, we obtain simultaneous synthetic FWM in the visible and mid-infrared bands by cascading quadratic nonlinear processes in a periodically poled lithium niobate crystal (PPLN), which has a 110dB(at 3000nm) higher conversion efficiency than the FWM directly generated by third-order susceptibilities in bulk PPLN crystals. A general model of this process is developed that is in fu…

Structural Preprocessing Method for Nonlinear Differential-Algebraic Equations Using Linear Symbolic Matrices
Taihei Oki, Yujin Song
https://arxiv.org/abs/2403.10260

Structural Preprocessing Method for Nonlinear Differential-Algebraic Equations Using Linear Symbolic Matrices
Differential-algebraic equations (DAEs) have been used in modeling various dynamical systems in science and engineering. Several preprocessing methods for DAEs, such as consistent initialization and index reduction, use structural information on DAEs. Unfortunately, these methods may fail when the system Jacobian, which is a functional matrix, derived from the DAE is singular. To transform a DAE with a singular system Jacobian into a nonsingular system, several regularization methods have bee…

Contagion dynamics on higher-order networks
Guilherme Ferraz de Arruda, Alberto Aleta, Yamir Moreno
https://arxiv.org/abs/2402.14938 https://

Contagion dynamics on higher-order networks
Understanding the dissemination of diseases, information, and behavior stands as a paramount research challenge in contemporary network and complex systems science. The COVID-19 pandemic and the proliferation of misinformation are relevant examples of the importance of these dynamic processes, which have recently gained more attention due to the potential of higher-order networks to unlock new avenues for their investigation. Despite being in its early stages, the examination of social contagio…

This https://arxiv.org/abs/2106.12043 has been replaced.
link: https://scholar.google.com/scholar?q=a

Introducing Quantum Entanglement to First-Year Students: Resolving the Trilemma
While quantum mechanics (QM) is covered at length in introductory physics textbooks, the concept of quantum entanglement is typically not covered at all, despite its importance in the rapidly growing area of quantum information science and its extensive experimental confirmation. Thus, physics educators are left to their own devices as to how to introduce this important concept. Regardless of how a physics educator chooses to introduce quantum entanglement, they face a trilemma involving its my…

This https://arxiv.org/abs/2403.00556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Nearest-Neighbours Estimators for Conditional Mutual Information
The conditional mutual information quantifies the conditional dependence of two random variables. It has numerous applications; it forms, for example, part of the definition of transfer entropy, a common measure of the causal relationship between time series. It does, however, require a lot of data to estimate accurately and suffers the curse of dimensionality, limiting its application in machine learning and data science. However, the Kozachenko-Leonenko approach can address this problem: it i…

This https://arxiv.org/abs/2112.08859 has been replaced.
link: https://scholar.google.com/scholar?q=a

Variational Quantum Algorithms for Semidefinite Programming
A semidefinite program (SDP) is a particular kind of convex optimization problem with applications in operations research, combinatorial optimization, quantum information science, and beyond. In this work, we propose variational quantum algorithms for approximately solving SDPs. For one class of SDPs, we provide a rigorous analysis of their convergence to approximate locally optimal solutions, under the assumption that they are weakly constrained (i.e., $N\gg M$, where $N$ is the dimension of t…

A simple reconstruction method to infer nonreciprocal interactions and local driving in complex systems
Tim Hempel, Sarah A. M. Loos
https://arxiv.org/abs/2403.09243

A simple reconstruction method to infer nonreciprocal interactions and local driving in complex systems
Data-based inference of directed interactions in complex dynamical systems is a problem common to many disciplines of science. In this work, we study networks of spatially separate dynamical entities, which could represent physical systems that interact with each other by reciprocal or nonreciprocal, instantaneous or time-delayed interactions. We present a simple approach that combines Markov state models with directed information-theoretical measures for causal inference that can accurately in…

This https://arxiv.org/abs/2403.07771 has been replaced.
initial toot: https://mastoxiv.page/@a…

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Point defects in semiconductors are attractive candidates for quantum information science applications owing to their ability to act as spin-photon interface or single-photon emitters. However, the coupling between the change of dipole moment upon electronic excitation and stray electric fields in the vicinity of the defect, an effect known as Stark shift, can cause significant spectral diffusion in the emitted photons. In this work, using first principles computations, we revisit the methodolo…

Darwin Turing Dawkins: Building a General Theory of Evolution
Leonard M. Adleman
https://arxiv.org/abs/2402.10393 https://arxiv.org/p…

Darwin Turing Dawkins: Building a General Theory of Evolution
Living things, computers, societies, and even books are part of a grand evolutionary struggle to survive. That struggle shapes nature, nations, religions, art, science, and you. What you think, feel, and do is determined by it. Darwinian evolution does not apply solely to the genes that are stored in DNA. Using the insights of Alan Turing and Richard Dawkins, we will see that it also applies to the memes we store in our brains and the information we store in our computers. The next time you run…

This https://arxiv.org/abs/2402.04146 has been replaced.
link: https://scholar.google.com/scholar?q=a

Interpretable Multi-Source Data Fusion Through Latent Variable Gaussian Process
With the advent of artificial intelligence (AI) and machine learning (ML), various domains of science and engineering communites has leveraged data-driven surrogates to model complex systems from numerous sources of information (data). The proliferation has led to significant reduction in cost and time involved in development of superior systems designed to perform specific functionalities. A high proposition of such surrogates are built extensively fusing multiple sources of data, may it be pu…

This https://arxiv.org/abs/2308.15532 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Information Bounds on phase transitions in disordered systems
Information theory, rooted in computer science, and many-body physics, have traditionally been studied as (almost) independent fields. Only recently has this paradigm started to shift, with many-body physics being studied and characterized using tools developed in information theory. In our work, we introduce a new perspective on this connection, and study phase transitions in models with randomness, such as localization in disordered systems, or random quantum circuits with measurements. Utili…

This https://arxiv.org/abs/2403.09102 has been replaced.
initial toot: https://mastoxiv.page/@ar…

Alternant Hydrocarbon Diradicals as Optically Addressable Molecular Qubits
High-spin molecules allow for bottom-up qubit design and are promising platforms for magnetic sensing and quantum information science. Optical addressability of molecular electron spins has also been proposed in first-row transition metal complexes via optically-detected magnetic resonance (ODMR) mechanisms analogous to the diamond-NV colour centre. However, significantly less progress has been made on the front of metal-free molecules, which can deliver lower costs and milder environmental imp…

Structural analysis and the sum of nodes' betweenness centrality in complex networks
Ronghao Deng, Meizhu Li, Qi Zhang
https://arxiv.org/abs/2402.13507

Structural analysis and the sum of nodes' betweenness centrality in complex networks
Structural analysis in network science is finding the information hidden from the topology structure of complex networks. Many methods have already been proposed in the research on the structural analysis of complex networks to find the different structural information of networks. In this work, the sum of nodes' betweenness centrality (SBC) is used as a new structural index to check how the structure of the complex networks changes in the process of the network's growth. We build two four diff…

Deep and shallow data science for multi-scale optical neuroscience
Gal Mishne, Adam Charles
https://arxiv.org/abs/2402.08811 https://…

Deep and shallow data science for multi-scale optical neuroscience
Optical imaging of the brain has expanded dramatically in the past two decades. New optics, indicators, and experimental paradigms are now enabling in-vivo imaging from the synaptic to the cortex-wide scales. To match the resulting flood of data across scales, computational methods are continuously being developed to meet the need of extracting biologically relevant information. In this pursuit, challenges arise in some domains (e.g., SNR and resolution limits in micron-scale data) that require…

This https://arxiv.org/abs/2403.07771 has been replaced.
initial toot: https://mastoxiv.page/@a…

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Point defects in semiconductors are attractive candidates for quantum information science applications owing to their ability to act as spin-photon interface or single-photon emitters. However, the coupling between the change of dipole moment upon electronic excitation and stray electric fields in the vicinity of the defect, an effect known as Stark shift, can cause significant spectral diffusion in the emitted photons. In this work, using first principles computations, we revisit the methodolo…

This https://arxiv.org/abs/2403.11329 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

AQM: A Refresh of the Abstract Qubit Model for Quantum Computing Co-design
Qubits are the fundamental building blocks of quantum information science and applications, whose concept is widely utilized in both quantum physics and quantum computation. While the significance of qubits and their implementation in physical devices have been extensively examined, now is the right time to revisit this understanding. In this paper, we introduce an abstract qubit model (AQM), offering a mathematical framework for higher-level algorithms and applications, and setting forth crite…

This https://arxiv.org/abs/2304.04856 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Graph Convex Hull Bounds as generalized Jensen Inequalities
Jensen's inequality is ubiquitous in measure and probability theory, statistics, machine learning, information theory and many other areas of mathematics and data science. It states that, for any convex function $f\colon K \to \mathbb{R}$ defined on a convex domain $K \subseteq \mathbb{R}^{d}$ and any random variable $X$ taking values in $K$, $\mathbb{E}[f(X)] \geq f(\mathbb{E}[X])$. In this paper, sharp upper and lower bounds on $\mathbb{E}[f(X)]$, termed ``graph convex hull bounds'', are deri…

This https://arxiv.org/abs/2403.00556 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIT_…

Nearest-Neighbours Estimators for Conditional Mutual Information
The conditional mutual information quantifies the conditional dependence of two random variables. It has numerous applications; it forms, for example, part of the definition of transfer entropy, a common measure of the causal relationship between time series. It does, however, require a lot of data to estimate accurately and suffers the curse of dimensionality, limiting its application in machine learning and data science. However, the Kozachenko-Leonenko approach can address this problem: it i…

This https://arxiv.org/abs/2403.05457 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sparse dynamic network reconstruction through L1-regularization of a Lyapunov equation
An important problem in many areas of science is that of recovering interaction networks from simultaneous time-series of many interacting dynamical processes. A common approach is to use the elements of the correlation matrix or its inverse as proxies of the interaction strengths, but the reconstructed networks are necessarily undirected. Transfer entropy methods have been proposed to reconstruct directed networks but the reconstructed network lacks information about interaction strengths. We …

Advancements and challenges in plasmon-exciton quantum emitters based on colloidal quantum dots
Adam Olejniczak, Yury Rakovich, Victor Krivenkov
https://arxiv.org/abs/2402.10613 <…

Advancements and challenges in plasmon-exciton quantum emitters based on colloidal quantum dots
The Nobel Prizes in Physics (2022) and Chemistry (2023) heralded the recognition of quantum information science and the synthesis of quantum dots, respectively. This acknowledgment has propelled colloidal quantum dots and perovskite nanocrystals to the forefront of quantum technologies. Their distinct emission properties, facilitating the efficient generation of both single photons and photon pairs, render them particularly captivating. Moreover, their adaptability to diverse structures, rangin…

This https://arxiv.org/abs/2403.13623 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Fast delivery of heralded atom-photon quantum correlation over 12km fiber through multiplexing enhancement
Distributing quantum entanglement between distant parties is a significant but difficult task in quantum information science, as it can enable numerous applications but suffers from exponential decay in the quantum channel. Quantum repeater is one of the most promising approaches towards this goal. In a quantum repeater protocol, it is essential that the entanglement generation speed within each elementary link is faster than the memory decoherence rate, to enable the scale-up of the quantum re…

Darwin Turing Dawkins: Building a General Theory of Evolution
Leonard M. Adleman
https://arxiv.org/abs/2402.10393 https://arxiv.org/p…

Darwin Turing Dawkins: Building a General Theory of Evolution
Living things, computers, societies, and even books are part of a grand evolutionary struggle to survive. That struggle shapes nature, nations, religions, art, science, and you. What you think, feel, and do is determined by it. Darwinian evolution does not apply solely to the genes that are stored in DNA. Using the insights of Alan Turing and Richard Dawkins, we will see that it also applies to the memes we store in our brains and the information we store in our computers. The next time you run…

This https://arxiv.org/abs/2302.14119 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_mat…

Double-loop quasi-Monte Carlo estimator for nested integration
Evaluating the expected information gain (EIG) is a critical task in many areas of computational science and statistics, necessitating the approximation of nested integrals. Available techniques for this problem based on quasi-Monte Carlo (QMC) methods have focused on enhancing the efficiency of either the inner or outer integral approximation. In this work, we introduce a novel approach that extends the scope of these efforts to address inner and outer expectations simultaneously. Leveraging t…

NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively
Ruijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, Abraham Bernstein
https://arxiv.org/abs/2403.08475

NLQxform-UI: A Natural Language Interface for Querying DBLP Interactively
In recent years, the DBLP computer science bibliography has been prominently used for searching scholarly information, such as publications, scholars, and venues. However, its current search service lacks the capability to handle complex queries, which limits the usability of DBLP. In this paper, we present NLQxform-UI, a web-based natural language interface that enables users to query DBLP directly with complex natural language questions. NLQxform-UI automatically translates given questions in…

Nearest-Neighbours Estimators for Conditional Mutual Information
Jake Witter, Conor Houghton
https://arxiv.org/abs/2403.00556 https://

Nearest-Neighbours Estimators for Conditional Mutual Information
The conditional mutual information quantifies the conditional dependence of two random variables. It has numerous applications; it forms, for example, part of the definition of transfer entropy, a common measure of the causal relationship between time series. It does, however, require a lot of data to estimate accurately and suffers the curse of dimensionality, limiting its application in machine learning and data science. However, the Kozachenko-Leonenko approach can address this problem: it i…

This https://arxiv.org/abs/2403.05457 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Sparse dynamic network reconstruction through L1-regularization of a Lyapunov equation
An important problem in many areas of science is that of recovering interaction networks from simultaneous time-series of many interacting dynamical processes. A common approach is to use the elements of the correlation matrix or its inverse as proxies of the interaction strengths, but the reconstructed networks are necessarily undirected. Transfer entropy methods have been proposed to reconstruct directed networks but the reconstructed network lacks information about interaction strengths. We …

Superphot : Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto (Center for Astrophysics | Harvard & Smithsonian), Ashley Villar (Center for Astrophysics | Harvard & Smithsonian), Edo Berger (Center for Astrophysics | Harvard & Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Sebastian Gomez (Space Telescope Science Institute), Griffin Hosseinzadeh (Steward Observatory | University of Arizona), Doug Bra…

Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C. Rubin Observatory. Here, we present a photometric classifier for SN light curves that does not rely on redshift information and still maintains comparable accuracy to redshift-dependent classifiers. Our new package, Superphot+, uses a parametric mod…

Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor
Che-Yung Shen, Jingxi Li, Tianyi Gan, Yuhang Li, Langxing Bai, Mona Jarrahi, Aydogan Ozcan
https://arxiv.org/abs/2403.11035

Multiplane Quantitative Phase Imaging Using a Wavelength-Multiplexed Diffractive Optical Processor
Quantitative phase imaging (QPI) is a label-free technique that provides optical path length information for transparent specimens, finding utility in biology, materials science, and engineering. Here, we present quantitative phase imaging of a 3D stack of phase-only objects using a wavelength-multiplexed diffractive optical processor. Utilizing multiple spatially engineered diffractive layers trained through deep learning, this diffractive processor can transform the phase distributions of mul…

AQM: A Refresh of the Abstract Qubit Model for Quantum Co-design
Chenxu Liu, Samuel A. Stein, Muqing Zheng, James Ang, Ang Li
https://arxiv.org/abs/2403.11329

AQM: A Refresh of the Abstract Qubit Model for Quantum Co-design
Qubits are the fundamental building blocks of quantum information science and applications, whose concept is widely utilized in both quantum physics and quantum computation. While the significance of qubits and their implementation in physical devices have been extensively examined, we posit that now is the right time to revisit this understanding. In this paper, we introduce an abstract qubit model (AQM), offering a mathematical framework for higher-level algorithms and applications, and setti…

Extracting Polymer Nanocomposite Samples from Full-Length Documents
Ghazal Khalighinejad, Defne Circi, L. C. Brinson, Bhuwan Dhingra
https://arxiv.org/abs/2403.00260

Extracting Polymer Nanocomposite Samples from Full-Length Documents
This paper investigates the use of large language models (LLMs) for extracting sample lists of polymer nanocomposites (PNCs) from full-length materials science research papers. The challenge lies in the complex nature of PNC samples, which have numerous attributes scattered throughout the text. The complexity of annotating detailed information on PNCs limits the availability of data, making conventional document-level relation extraction techniques impractical due to the challenge in creating c…

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
Anindita Nath (Center for Precision Health, McWilliams School of Biomedical Informatics, UT Health Houston, TX), Savannah Mwesigwa (Center for Precision Health, McWilliams School of Biomedical Informatics, UT Health Houston, TX), Yulin Dai (Center for Precision Health, McWilliams School of Biomedical Informatics, UT Health Houston, TX), Xiaoqian Jiang (Department of Health Data Science and Artificia…

GENEVIC: GENetic data Exploration and Visualization via Intelligent interactive Console
Summary: The vast generation of genetic data poses a significant challenge in efficiently uncovering valuable knowledge. Introducing GENEVIC, an AI-driven chat framework that tackles this challenge by bridging the gap between genetic data generation and biomedical knowledge discovery. Leveraging generative AI, notably ChatGPT, it serves as a biologist's 'copilot'. It automates the analysis, retrieval, and visualization of customized domain-specific genetic information, and integrates functional…

Quantum Expander Mixing Lemma and its Converse
Ning Ning
https://arxiv.org/abs/2403.11454 https://arxiv.org/pdf/2403.11454

Quantum Expander Mixing Lemma and its Converse
Expander graphs are fundamental in both computer science and mathematics, with a wide array of applications. With quantum technology reshaping our world, quantum expanders have emerged, finding numerous uses in quantum information theory. The classical expander mixing lemma plays a central role in graph theory, offering essential insights into edge distribution within graphs and aiding in the analysis of diverse network properties and algorithms. This paper establishes the quantum analogue of t…

Superphot : Realtime Fitting and Classification of Supernova Light Curves
Kaylee M. de Soto (Center for Astrophysics | Harvard & Smithsonian), Ashley Villar (Center for Astrophysics | Harvard & Smithsonian), Edo Berger (Center for Astrophysics | Harvard & Smithsonian, The NSF AI Institute for Artificial Intelligence and Fundamental Interactions), Sebastian Gomez (Space Telescope Science Institute), Griffin Hosseinzadeh (Steward Observatory | University of Arizona), Doug Bra…

Superphot+: Realtime Fitting and Classification of Supernova Light Curves
Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations obtained from wide-field photometric surveys, such as the Zwicky Transient Facility (ZTF) and the Vera C. Rubin Observatory. Here, we present a photometric classifier for SN light curves that does not rely on redshift information and still maintains comparable accuracy to redshift-dependent classifiers. Our new package, Superphot+, uses a parametric mod…

Opinion models, data, and politics
Matthias Gs\"angerInstitute of Political Science and Sociology, Julius-Maximilians-University, Volker H\"oselDepartment of Mathematics, School for Computation, Information and Technology, TU M\"unchen, Christoph Mohamad-KlotzbachInstitute of Political Science and Sociology, Julius-Maximilians-University, Johannes M\"uller1 and3

Opinion models, data, and politics
We investigate the connection between Potts (Curie-Weiss) models and stochastic opinion models in the view of the Boltzmann distribution and stochastic Glauber dynamics. We particularly find that the q-voter model can be considered as a natural extension of the Zealot model which is adapted by Lagrangian parameters. We also discuss weak and strong effects continuum limits for the models. We then fit four models (Curie-Weiss, strong and weak effects limit for the q-voter model, and the reinforce…

Sparse dynamic network reconstruction through L1-regularization of a Lyapunov equation
Ian Xul Belaustegui, Marcela Ordorica Arango, Rom\'an Rossi Pool, Naomi Ehrich Leonard, Alessio Franci
https://arxiv.org/abs/2403.05457

Sparse dynamic network reconstruction through L1-regularization of a Lyapunov equation
An important problem in many areas of science is that of recovering interaction networks from simultaneous time-series of many interacting dynamical processes. A common approach is to use the elements of the correlation matrix or its inverse as proxies of the interaction strengths, but the reconstructed networks are necessarily undirected. Transfer entropy methods have been proposed to reconstruct directed networks but the reconstructed network lacks information about interaction strengths. We …

This https://arxiv.org/abs/2311.09895 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Noise-independent Route towards the Genesis of a COMPACT Ansatz for Molecular Energetics: a Dynamic Approach
Recent advances in quantum information and quantum science have inspired the development of various compact dynamic structured ansätze that are expected to be realizable in the Noisy Intermediate-Scale Quantum (NISQ) devices. However, such ansätze construction strategies hitherto developed involve considerable measurements, and thus they deviate significantly in NISQ platform from their ideal structures. Therefore, it is imperative that the usage of quantum resources must be minimized while r…

This https://arxiv.org/abs/2102.00665 has been replaced.
link: https://scholar.google.com/scholar?q=a

Attributed Graph Alignment
Motivated by various data science applications including de-anonymizing user identities in social networks, we consider the graph alignment problem, where the goal is to identify the vertex/user correspondence between two correlated graphs. Existing work mostly recovers the correspondence by exploiting the user-user connections. However, in many real-world applications, additional information about the users, such as user profiles, might be publicly available. In this paper, we introduce the at…

This https://arxiv.org/abs/2307.02551 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Semidefinite programming relaxations for quantum correlations
Semidefinite programs are convex optimisation problems involving a linear objective function and a domain of positive semidefinite matrices. Over the last two decades, they have become an indispensable tool in quantum information science. Many otherwise intractable fundamental and applied problems can be successfully approached by means of relaxation to a semidefinite program. Here, we review such methodology in the context of quantum correlations. We discuss how the core idea of semidefinite r…

Quantum emitters in van der Waals {\alpha}-MoO3
Jeonghan Lee, Haiyuan Wang, Keun-Yeol Park, Soonsang Huh, Donghan Kim, Mihyang Yu, Changyoung Kim, Kristian Sommer Thygesen, Jieun Lee
https://arxiv.org/abs/2403.09099

Quantum emitters in van der Waals α-MoO3
Quantum emitters in solid-state materials are highly promising building blocks for quantum information processing and communication science. Recently, single-photon emission from van der Waals materials has been reported in transition metal dichalcogenides and hexagonal boron nitride, exhibiting the potential to realize photonic quantum technologies in two-dimensional materials. Here, we report the observation of single-photon generation from exfoliated and thermally annealed single crystals of…

This https://arxiv.org/abs/2312.05561 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qu…

Nonreciprocal Photon-Phonon Entanglement in Kerr-Modified Spinning Cavity Magnomechanics
Cavity magnomechanics has shown great potential in studying macroscopic quantum effects, especially for quantum entanglement, which is a key resource for quantum information science. Here we propose to realize magnon mediated nonreciprocal photon-phonon entanglement, which exhibits asymmetry when opposite magnetic or driving fields are respectively applied to the magnons with the Kerr effect or the photons with the Sagnac effect. We find that the mean magnon number can selectively exhibit nonre…

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Louis Alaerts, Yihuang Xiong, Sin\'ead Griffin, Geoffroy Hautier
https://arxiv.org/abs/2403.07771

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Point defects in semiconductors are attractive candidates for quantum information science applications owing to their ability to act as spin-photon interface or single-photon emitters. However, the coupling between the change of dipole moment upon electronic excitation and stray electric fields in the vicinity of the defect, an effect known as Stark shift, can cause significant spectral diffusion in the emitted photons. In this work, using first principles computations, we revisit the methodolo…

Exploring Multiscale Quantum Media: High-Precision Efficient Numerical Solution of the Fractional Schr\"odinger equation, Eigenfunctions with Physical Potentials, and Fractionally-Enhanced Quantum Tunneling
Joshua M. Lewis, Lincoln D. Carr
https://arxiv.org/abs/2403.07233

Exploring Multiscale Quantum Media: High-Precision Efficient Numerical Solution of the Fractional Schrödinger equation, Eigenfunctions with Physical Potentials, and Fractionally-Enhanced Quantum Tunneling
Fractional evolution equations lack generally accessible and well-converged codes excepting anomalous diffusion. A particular equation of strong interest to the growing intersection of applied mathematics and quantum information science and technology is the fractional Schrödinger equation, which describes sub-and super-dispersive behavior of quantum wavefunctions induced by multiscale media. We derive a computationally efficient sixth-order split-step numerical method to converge the eigenfun…

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Louis Alaerts, Yihuang Xiong, Sin\'ead Griffin, Geoffroy Hautier
https://arxiv.org/abs/2403.07771

A first principles study of the Stark shift effect on the zero-phonon line of the NV center in diamond
Point defects in semiconductors are attractive candidates for quantum information science applications owing to their ability to act as spin-photon interface or single-photon emitters. However, the coupling between the change of dipole moment upon electronic excitation and stray electric fields in the vicinity of the defect, an effect known as Stark shift, can cause significant spectral diffusion in the emitted photons. In this work, using first principles computations, we revisit the methodolo…