cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Cooling and state preparation in an optical lattice via Markovian feedback control
Creators: name: Wu, Ling-Na
name: Eckardt, André
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We propose and investigate a scheme based on Markovian feedback control that allows for the preparation of single targeted eigenstates of a system of bosonic atoms in a one-dimensional optical lattice with high fidelity. It can be used for in-situ cooling the interacting system without particle loss, both for weak and strong interactions, and for experimentally preparing and probing individual excited eigenstates. For that purpose the system is assumed to be probed weakly via homodyne detection of photons that are scattered off-resonantly by the atoms from a structured probe beam into a cavity mode. By applying an inertial force to the system that is proportional to the measured signal, the system is then guided into a pure target state. The scheme is found to be robust against reduced measurement efficiencies.
Symmetry, topology, and geometry: The many faces of the topological magnetoelectric effect
Creators: name: Mahon, Perry T.
name: Lei, Chao
name: MacDonald, Allan H.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: A delicate tension complicates the relationship between the topological magnetoelectric effect (TME) in three-dimensional (3D) $\mathbb{Z}_2$ topological insulators (TIs) and time-reversal symmetry (TRS). TRS underlies a particular $\mathbb{Z}_2$ topological classification of the electronic ground state of crystalline band insulators and the associated quantization of the magnetoelectric response coefficient calculated using bulk linear response theory but, according to standard symmetry arguments, simultaneously forbids a nonzero magnetoelectric coefficient in any physical finite-size system. This contrast between theories of magnetoelectric response in formal bulk models and in real finite-sized materials originates from the distinct approaches required to introduce notions of (electronic) polarization and orbital magnetization in these fundamentally different environments. In this work we argue for a modified interpretation of the bulk linear response calculations in non-magnetic $\mathbb{Z}_2$ TIs that is more plainly consistent with TRS, and use this interpretation to discuss the effect's observation - still absent over a decade after its prediction. Motivated by analytical results, we conjecture a type of microscopic bulk-boundary correspondence: a bulk insulator with (generalized) TRS supports a magnetoelectric coefficient that is purely itinerant (which is generically related to the geometry of the ground state) if and only if magnetic surface dopants are required for the TME to manifest in finite samples thereof. We conclude that in non-magnetic $\mathbb{Z}_2$ TIs the TME is activated by magnetic surface dopants, that the charge density response to a uniform dc magnetic field is localized at the surface and specified by the configuration of those dopants, and that the TME is qualitatively less robust against disorder than the integer quantum Hall effect.
description: 33 pages, 5 figures
Additional file 1 of Impact of grade on workup of rectal neuroendocrine tumors: a retrospective cohort study
Creators: name: Watanabe, Akie
name: Rai, Sabrina
name: Yip, Lily
name: Brown, Carl J.
name: Loree, Jonathan M.
name: Stuart, Heather C.
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Cell Biology
Biotechnology
Biological Sciences not elsewhere classified
Marine Biology
Cancer
Science Policy

description: Supplementary Material 1: Supplementary Table 1. Location of disease in staging imaging with positive findings. Description: where different types of disease spread was detected by different imaging modalities
Ultrafast-and-Ultralight ConvNet-Based Intelligent Monitoring System for Diagnosing Early-Stage Mpox Anytime and Anywhere
Creators: name: Yue, Yubiao
name: Shi, Xiaoqiang
name: Qin, Li
name: Zhang, Xinyue
name: Xu, Jialong
name: Zheng, Zipei
name: Li, Zhenzhang
name: Li, Yang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Due to the absence of more efficient diagnostic tools, the spread of mpox continues to be unchecked. Although related studies have demonstrated the high efficiency of deep learning models in diagnosing mpox, key aspects such as model inference speed and parameter size have always been overlooked. Herein, an ultrafast and ultralight network named Fast-MpoxNet is proposed. Fast-MpoxNet, with only 0.27M parameters, can process input images at 68 frames per second (FPS) on the CPU. To detect subtle image differences and optimize model parameters better, Fast-MpoxNet incorporates an attention-based feature fusion module and a multiple auxiliary losses enhancement strategy. Experimental results indicate that Fast-MpoxNet, utilizing transfer learning and data augmentation, produces 98.40% classification accuracy for four classes on the mpox dataset. Furthermore, its Recall for early-stage mpox is 93.65%. Most importantly, an application system named Mpox-AISM V2 is developed, suitable for both personal computers and smartphones. Mpox-AISM V2 can rapidly and accurately diagnose mpox and can be easily deployed in various scenarios to offer the public real-time mpox diagnosis services. This work has the potential to mitigate future mpox outbreaks and pave the way for developing real-time diagnostic tools in the healthcare field.
description: Accepted by Advanced Intelligent Systems
On Use of the Moore-Penrose Pseudoinverse for Evaluating the RGA of Non-Square Systems
Creators: name: Yousuf, Rafal Qasim Al
name: Uhlmann, Jeffrey
Publisher: name: arXiv
Year: 2021
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: A recently-derived alternative method for computing the relative gain array (RGA) for singular and/or non-square systems has been proposed that provably guarantees unit invariance. This property is not offered by the conventional method that uses the Moore-Penrose (MP) pseudoinverse. In this paper we note that the absence of the scale-invariance property by the conventional MP-RGA does not necessarily imply a practical disadvantage in real-world applications. In other words, while it is true that performance of a controller should not depend on the choice of units on its input and output variables, this does not {\em necessarily} imply that the resulting MP-RGA measures of component interaction lead to different controller-design input-output pairings. In this paper we consider the application of the MP-RGA to a realistic system (a Sakai fractional distillation system) to assess whether or not the choice of unit, which in this case relates to temperature, affects the choice of input-output pairings determined by the resulting RGA matrix. Our results show that it does, thus confirming that unit-sensitivity of the MP-RGA undermines its rigorous use for MIMO controller design.
description: Final published version with minor revisions
Additional file 6 of Effect of sugar-sweetened beverage taxation on sugars intake and dental caries: an umbrella review of a global perspective
Creators: name: Hajishafiee, Maryam
name: Kapellas, Kostas
name: Listl, Stefan
name: Pattamatta, Madhuri
name: Gkekas, Athanasios
name: Moynihan, Paula
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Science Policy
Hematology

description: Additional file 6. Summary of original studies identified in included reviews addressing Question 1.
Job_electSuppl_Table_E-8_MLM_results_additional_outcomes – Supplemental material for Taking Care Triple P for Foster Parents With Young Children in Foster Care: Results of a 1-Year Randomized Trial
Creators: name: Job, Ann-Katrin
name: Ehrenberg, Daniela
name: Hilpert, Peter
name: Reindl, Vanessa
name: Lohaus, Arnold
name: Konrad, Kerstin
name: Heinrichs, Nina
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160299 Criminology not elsewhere classified
subject: FOS: Law

description: Supplemental material, Job_electSuppl_Table_E-8_MLM_results_additional_outcomes for Taking Care Triple P for Foster Parents With Young Children in Foster Care: Results of a 1-Year Randomized Trial by Ann-Katrin Job, Daniela Ehrenberg, Peter Hilpert, Vanessa Reindl, Arnold Lohaus, Kerstin Konrad and Nina Heinrichs in Journal of Interpersonal Violence
Additional file 1 of The potentiating effect of intravenous dexamethasone upon preemptive pudendal block analgesia for hypospadias surgery in children managed with Snodgrass technique: a randomized controlled study
Creators: name: Khalifa, Sonia Ben
name: Slimene, Ahmed Ben
name: Blaiti, Hajer
name: Kaddour, Refka
name: Hassen, Amjed Fekih
name: Pardessus, Pierre
name: Brasher, Christopher
name: Dahmani, Souhayl
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health

description: Supplementary Material 1
The Principles of Deep Learning Theory
Creators: name: Roberts, Daniel A.
name: Yaida, Sho
name: Hanin, Boris
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: High Energy Physics - Theory (hep-th)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: This book develops an effective theory approach to understanding deep neural networks of practical relevance. Beginning from a first-principles component-level picture of networks, we explain how to determine an accurate description of the output of trained networks by solving layer-to-layer iteration equations and nonlinear learning dynamics. A main result is that the predictions of networks are described by nearly-Gaussian distributions, with the depth-to-width aspect ratio of the network controlling the deviations from the infinite-width Gaussian description. We explain how these effectively-deep networks learn nontrivial representations from training and more broadly analyze the mechanism of representation learning for nonlinear models. From a nearly-kernel-methods perspective, we find that the dependence of such models' predictions on the underlying learning algorithm can be expressed in a simple and universal way. To obtain these results, we develop the notion of representation group flow (RG flow) to characterize the propagation of signals through the network. By tuning networks to criticality, we give a practical solution to the exploding and vanishing gradient problem. We further explain how RG flow leads to near-universal behavior and lets us categorize networks built from different activation functions into universality classes. Altogether, we show that the depth-to-width ratio governs the effective model complexity of the ensemble of trained networks. By using information-theoretic techniques, we estimate the optimal aspect ratio at which we expect the network to be practically most useful and show how residual connections can be used to push this scale to arbitrary depths. With these tools, we can learn in detail about the inductive bias of architectures, hyperparameters, and optimizers.
description: 471 pages, to be published by Cambridge University Press; v2: hyperlinks fixed, index added
Heterogeneous Multi-task Learning with Expert Diversity
Creators: name: Aoki, Raquel
name: Tung, Frederick
name: Oliveira, Gabriel L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Predicting multiple heterogeneous biological and medical targets is a challenge for traditional deep learning models. In contrast to single-task learning, in which a separate model is trained for each target, multi-task learning (MTL) optimizes a single model to predict multiple related targets simultaneously. To address this challenge, we propose the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx). Our work aims to tackle the heterogeneous MTL setting, in which the same model optimizes multiple tasks with different characteristics. Such a scenario can overwhelm current MTL approaches due to the challenges in balancing shared and task-specific representations and the need to optimize tasks with competing optimization paths. Our method makes two key contributions: first, we introduce an approach to induce more diversity among experts, thus creating representations more suitable for highly imbalanced and heterogenous MTL learning; second, we adopt a two-step optimization [6, 11] approach to balancing the tasks at the gradient level. We validate our method on three MTL benchmark datasets, including Medical Information Mart for Intensive Care (MIMIC-III) and PubChem BioAssay (PCBA).
description: 10 pages, 7 figures, BIOKDD, IEEE/ACM
On the Capacity-Achieving Input of Channels with Phase Quantization
Creators: name: Bernardo, Neil Irwin
name: Zhu, Jingge
name: Evans, Jamie
Publisher: name: arXiv
Year: 2021
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Several information-theoretic studies on channels with output quantization have identified the capacity-achieving input distributions for different fading channels with 1-bit in-phase and quadrature (I/Q) output quantization. However, an exact characterization of the capacity-achieving input distribution for channels with multi-bit phase quantization has not been provided. In this paper, we consider four different channel models with multi-bit phase quantization at the output and identify the optimal input distribution for each channel model. We first consider a complex Gaussian channel with $b$-bit phase-quantized output and prove that the capacity-achieving distribution is a rotated $2^b$-phase shift keying (PSK). The analysis is then extended to multiple fading scenarios. We show that the optimality of rotated $2^b$-PSK continues to hold under noncoherent fast fading Rician channels with $b$-bit phase quantization when line-of-sight (LoS) is present. When channel state information (CSI) is available at the receiver, we identify $\frac{2π}{2^b}$-symmetry and constant amplitude as the necessary and sufficient conditions for the ergodic capacity-achieving input distribution; which a $2^b$-PSK satisfies. Finally, an optimum power control scheme is presented which achieves ergodic capacity when CSI is also available at the transmitter.
description: 23 pages, 4 figures, Accepted for publication in IEEE Transactions on Information Theory
Three-dimensional stochastic cubic nonlinear wave equation with almost space-time white noise
Creators: name: Oh, Tadahiro
name: Wang, Yuzhao
name: Zine, Younes
Publisher: name: arXiv
Year: 2021
Subjects: subject: Analysis of PDEs (math.AP)
subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 35L71, 60H15

description: We study the stochastic cubic nonlinear wave equation (SNLW) with an additive noise on the three-dimensional torus $\mathbb{T}^3$. In particular, we prove local well-posedness of the (renormalized) SNLW when the noise is almost a space-time white noise. In recent years, the paracontrolled calculus has played a crucial role in the well-posedness study of singular SNLW on $\mathbb{T}^3$ by Gubinelli, Koch, and the first author (2018), Okamoto, Tolomeo, and the first author (2020), and Bringmann (2020). Our approach, however, does not rely on the paracontrolled calculus. We instead proceed with the second order expansion and study the resulting equation for the residual term, using multilinear dispersive smoothing.
description: 55 pages. Expanded Remark 1.10. Published in Stoch. Partial Differ. Equ. Anal. Comput. (2022). Special issue dedicated to Professor Istv\'an Gy\"ongy on the occasion of his seventieth birthday
Finite Element Models for Magnetic Shields Made of Stacked Superconducting Tape Annuli
Creators: name: Dular, Julien
name: Brialmont, Sébastien
name: Vanderbemden, Philippe
name: Geuzaine, Christophe
name: Vanderheyden, Benoît
Publisher: name: arXiv
Year: 2023
Subjects: subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: Stacks of high-temperature superconducting tape annuli can be used as magnetic shields operating efficiently for both axial and transverse fields. However, due to their layered geometry and hybrid electrical and magnetic properties, implementing models of such structures is not straightforward. In this work, we propose two different modelling approaches with the finite element method: layered and homogenized. We compare their accuracy and numerical efficiency for three different formulations (h-phi, h-phi-b, and a-j), in both axial (2D-axisymmetric) and transverse (3D) configurations. We show that both approaches lead to comparable performance in the axial case, but that the homogenized model is considerably harder to use in the transverse case.
Rankin-Selberg integrals for ${\rm SO}_{2n+1}\times{\rm GL}_r$ attached to Newforms and Oldforms
Creators: name: Cheng, Yao
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: FOS: Mathematics

description: The conjectural newform theory for generic representations of $p$-adic ${\rm SO}_{2n+1}$ was formulated by P.-Y. Tsai in her thesis in which Tsai also verified the conjecture when the representations are supercuspidal. The main purpose of this work is to compute the Rankin-Selberg integrals for ${\rm SO}_{2n+1}\times{\rm GL}_r$ with $1\le r\le n$ attached to newforms and also oldforms under the validity of the conjecture.
description: Final version. Accepted by Math. Z
Policy brief - old version
Creators: name: Silva Raposo, Débora
Publisher: name: Zenodo
Year: 2023
Subjects: DSI
CBD
GBF
BenefitSharing
Biodiversity
GeographicalOrigin
ScienceForAll
COP15
SciencePolicy
GlobalBiodiversityFramework

description: Policy Brief
COP15 Decision 15/9 establishes a multilateral mechanism to share benefits from digital sequence information (DSI) on genetic resources and lays out "issues for further consideration", including whether geographical information could be a criterion for the disbursement of benefits. But the decision also notes that tracking and tracing of all DSI is not possible. 
At CBD COP16 in 2024, Parties will need to decide whether geographical origin of DSI could be used in the multilateral mechanism, and if so, how. 
We have analyzed the availability of geographical information associated with DSI in a wide range of scientific databases and assessed the limitations and opportunities of using this information as an indicator tool for benefit-sharing.
Additional file 1 of Beneficial effects of time-restricted fasting on cardiovascular disease risk factors: a meta-analysis
Creators: name: Qiu, Zhengqi
name: Huang, Emma Yun Zhi
name: Li, Yufei
name: Xiao, Ying
name: Fu, Yancheng
name: Du, Jun
name: Kan, Juntao
Publisher: name: figshare
Year: 2024
Subjects: Biotechnology
Science Policy

description: Supplementary Material 1
Additional file 1 of QTL mapping of shoot and seed traits impacted by Drought in Barley using a recombinant inbred line Population
Creators: name: Ajayi, Oyeyemi O.
name: Bregitzer, Phil
name: Klos, Kathy
name: Hu, Gongshe
name: Walling, Jason G.
name: Mahalingam, Ramamurthy
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Supplementary Material 1
Predicting Lung Cancer's Metastats' Locations Using Bioclinical Model
Creators: name: Lazebnik, Teddy
name: Bunimovich-Mendrazitsky, Svetlana
Publisher: name: arXiv
Year: 2023
Subjects: subject: Image and Video Processing (eess.IV)
subject: Information Retrieval (cs.IR)
subject: Dynamical Systems (math.DS)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Lung cancer is a leading cause of cancer-related deaths worldwide. The spread of the disease from its primary site to other parts of the lungs, known as metastasis, significantly impacts the course of treatment. Early identification of metastatic lesions is crucial for prompt and effective treatment, but conventional imaging techniques have limitations in detecting small metastases. In this study, we develop a bioclinical model for predicting the spatial spread of lung cancer's metastasis using a three-dimensional computed tomography (CT) scan. We used a three-layer biological model of cancer spread to predict locations with a high probability of metastasis colonization. We validated the bioclinical model on real-world data from 10 patients, showing promising 74% accuracy in the metastasis location prediction. Our study highlights the potential of the combination of biophysical and ML models to advance the way that lung cancer is diagnosed and treated, by providing a more comprehensive understanding of the spread of the disease and informing treatment decisions.
CoPrompt: Supporting Prompt Sharing and Referring in Collaborative Natural Language Programming
Creators: name: Feng, Li
name: Yen, Ryan
name: You, Yuzhe
name: Fan, Mingming
name: Zhao, Jian
name: Lu, Zhicong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Natural language (NL) programming has become more approachable due to the powerful code-generation capability of large language models (LLMs). This shift to using NL to program enhances collaborative programming by reducing communication barriers and context-switching among programmers from varying backgrounds. However, programmers may face challenges during prompt engineering in a collaborative setting as they need to actively keep aware of their collaborators' progress and intents. In this paper, we aim to investigate ways to assist programmers' prompt engineering in a collaborative context. We first conducted a formative study to understand the workflows and challenges of programmers when using NL for collaborative programming. Based on our findings, we implemented a prototype, CoPrompt, to support collaborative prompt engineering by providing referring, requesting, sharing, and linking mechanisms. Our user study indicates that CoPrompt assists programmers in comprehending collaborators' prompts and building on their collaborators' work, reducing repetitive updates and communication costs.
description: Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11--16, 2024, Honolulu, HI, USA
Weak Invariants of Actions of the Automorphism Group of a Graph
Creators: name: Ball, Fabian
name: Geyer-Schulz, Andreas
Publisher: name: KIT Scientific Publishing
Year: 2017

description: Automorphism groups of graphs may lead to multiple equivalent solutions of graph-clustering algorithms and to a certain degree of arbitrariness in selecting one or more solution(s) as well as to problems with partition comparison measures. Knowledge of the automorphism group is crucial for stability analysis, for evaluating the degree of arbitrariness involved in selecting a solution, as well as for a further classification as congruent solutions or structurally equivalent solutions. For this purpose we identify three weak invariants of group actions of the automorphism group of a graph, namely modularity, partition type, and the Kolmogorov-Sinai entropy. In particular, we extend the Kolmogorov-Sinai entropy for measuring the uncertainty in finite permutation groups and we apply the underlying construction for testing if multiple structurally equivalent solutions exist for a given graph partition.
An Efficient Particle Tracking Algorithm for Large-Scale Parallel Pseudo-Spectral Simulations of Turbulence
Creators: name: Lalescu, Cristian C.
name: Bramas, Bérenger
name: Rampp, Markus
name: Wilczek, Michael
Publisher: name: arXiv
Year: 2021
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Particle tracking in large-scale numerical simulations of turbulent flows presents one of the major bottlenecks in parallel performance and scaling efficiency. Here, we describe a particle tracking algorithm for large-scale parallel pseudo-spectral simulations of turbulence which scales well up to billions of tracer particles on modern high-performance computing architectures. We summarize the standard parallel methods used to solve the fluid equations in our hybrid MPI/OpenMP implementation. As the main focus, we describe the implementation of the particle tracking algorithm and document its computational performance. To address the extensive inter-process communication required by particle tracking, we introduce a task-based approach to overlap point-to-point communications with computations, thereby enabling improved resource utilization. We characterize the computational cost as a function of the number of particles tracked and compare it with the flow field computation, showing that the cost of particle tracking is very small for typical applications.
New pairing mechanism via chiral electron-hole condensation for non-BCS superconductivity
Creators: name: Tan, Wanpeng
Publisher: name: arXiv
Year: 2023
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A novel chiral electron-hole (CEH) pairing mechanism is proposed to account for non-BCS superconductivity. In contrast to BCS Cooper pairs, CEH pairs exhibit a pronounced affinity to antiferromagnetism for superconductivity. The gap equations derived from this new microscopic mechanism are analyzed for both s- and d-wave superconductivity, revealing marked departures from the BCS theory. Unsurprisingly, CEH naturally describes superconductivity in strongly-correlated systems, necessitating an exceedingly large coupling parameter ($λ>1$ for s-wave and $λ>π/2$ for d-wave) to be efficacious. The new mechanism provides a better understanding of various non-BCS features, especially in cuprate and iron-based superconductors. In particular, CEH, through quantitative comparison with experimental data, shows promise in solving long-standing puzzles such as the unexpectedly large gap-to-critical-temperature ratio $Δ_0/T_c$, the lack of gap closure at $T_c$, superconducting phase diagrams, and a non-zero heat-capacity-to-temperature ratio $C/T$ at $T=0$ (i.e., the ``anomalous linear term''), along with its quadratic behavior near $T=0$ for d-wave cuprates.
description: 22 pages, 12 figures, 1 table
Beginning American eel studies in Louisiana and the Gulf States
Creators: name: Maxwell, Robby
name: Hill, Daniel
name: Kinney, Sean
Publisher: name: F1000Research
Year: 2017

description: The American eel Anguilla rostrata has received increased attention in recent years due to world pressure on United States stocks, construction of passage barriers, and the lack of available life history information. The U.S. Fish and Wildlife Service reviewed the status of the American eel in 2007 and 2015, and found that protection under the Endangered Species Act was not needed. Gulf of Mexico populations of American eel are data deficient compared to Atlantic populations, so we set out to capture specimens from Southwest Louisiana to gather sex, size, age, and genetic data. Using trapping methods similar to Savoie and Casanova (1982), we set traps monthly for a year in Lake Misere and Rockefeller State Wildlife Refuge in Cameron Parish, LA. Though we were able to capture bycatch consisting of preferred prey items, we failed to catch eels in our study traps. We caught only one eel in a “test trap” run parallel to the study. Our failure to catch eels led us to reach out to multiple state and federal agencies in the region. It was discovered that very little interstate communication concerning eels was taking place, and many research goals and methods were overlapping. Failures were being repeated, and successes were not being shared. In early 2016, in conjunction with the University of Texas, we established a listserv to share information about Gulf eel populations.  It currently has 49 subscribers, and is growing. With increased communication across Gulf States, hopefully research efforts will proceed more efficiently and effectively in the future.
Additional file 1 of The application of artificial intelligence in health policy: a scoping review
Creators: name: Ramezani, Maryam
name: Takian, Amirhossein
name: Bakhtiari, Ahad
name: Rabiee, Hamid R.
name: Ghazanfari, Sadegh
name: Mostafavi, Hakimeh
Publisher: name: figshare
Year: 2024
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences
subject: Information Systems

description: Supplementary Material 1
Quasi-2D Weak Lensing Cosmological Constraints Using the PDF-SYM method
Creators: name: Liu, Zhenjie
name: Zhang, Jun
name: Li, Hekun
name: Shen, Zhi
name: Liu, Cong
Publisher: name: arXiv
Year: 2023
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Cosmic shear statistics, such as the two-point correlation function (2PCF), can be evaluated with the PDF-SYM method instead of the traditional weighted-sum approach. It makes use of the full PDF information of the shear estimators, and does not require weightings on the shear estimators, which can in principle introduce additional systematic biases. This work presents our constraints on $S_8$ and $Ω_m$ from the shear-shear correlations using the PDF-SYM method. The data we use is from the z-band images of the Dark Energy Camera Legacy Survey (DECaLS), which covers about 10000 deg$^2$ with more than 100 million galaxies. The shear catalog is produced by the Fourier\_Quad method, and well tested on the real data itself with the field-distortion effect. Our main approach is called quasi-2D as we do use the photo-$z$ information of each individual galaxy, but without dividing the galaxies into redshift bins. We mainly use galaxy pairs within the redshift interval between 0.2 and 1.3, and the angular range from $4.7$ to $180$ arcmin. Our analysis yields $S_8=0.762 \pm 0.026$ and $Ω_{\rm m}=0.234 \pm 0.075$, with the baryon effects and the intrinsic alignments included. The results are robust against redshift uncertainties. We check the consistency of our results by deriving the cosmological constraints from auto-correlations of $γ_1$ and $γ_2$ separately, and find that they are consistent with each other, but the constraints from the $γ_1$ component is much weaker than that from $γ_2$. It implies a much worse data quality of $γ_1$, which is likely due to additional shear uncertainties caused by CCD electronics (according to the survey strategy of DECaLS). We also perform a pure 2D analysis, which gives $S_8=0.81^{+0.03}_{-0.04}$ and $Ω_{\rm m}=0.25^{+0.06}_{-0.05}$. Our findings demonstrate the potential of the PDF-SYM method for precision cosmology.
description: 10 figures. Published on SCIENCE CHINA Physics, Mechanics & Astronomy
Additional file 1 of Relationship of FDG PET/CT imaging features with tumor immune microenvironment and prognosis in colorectal cancer: a retrospective study
Creators: name: Lee, Jeong Won
name: Ahn, Hyein
name: Yoo, Ik Dong
name: Hong, Sun-pyo
name: Baek, Moo-Jun
name: Kang, Dong Hyun
name: Lee, Sang Mi
Publisher: name: figshare
Year: 2024
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer

description: Supplementary Material 1
Supplemental Material, SMR852386_Appendix_06.13.19 - The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods
Creators: name: Phillips, Nolan E.
name: Levy, Brian L.
name: J. Sampson, Robert
name: Small, Mario L.
name: Wang, Ryan Q.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: Sociology

description: Supplemental Material, SMR852386_Appendix_06.13.19 for The Social Integration of American Cities: Network Measures of Connectedness Based on Everyday Mobility Across Neighborhoods by Nolan E. Phillips, Brian L. Levy, Robert J. Sampson, Mario L. Small and Ryan Q. Wang in Sociological Methods & Research
title: Exportations de cacao de Côte d’Ivoire et déforestation
Creators: name: Guye, Valentin
Publisher: name: Trase
Year: 2024
Subjects: classificationCode: 1.5
subject: FOS: Earth and related environmental sciences
classificationCode: 4.1
subject: FOS: Agriculture, forestry and fisheries
classificationCode: 5.2
subject: FOS: Economics and business

description: Trase cartographie le commerce international du cacao de Côte d’Ivoire, révélant quelles entreprises commerciales et quels marchés de consommation sont les plus exposés à la déforestation.
Appendix_7_online_supp_revised – Supplemental material for A New Method for Model-Based Health Economic Evaluation Utilizing and Extending Moment-Generating Functions
Creators: name: Snowsill, Tristan
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Appendix_7_online_supp_revised for A New Method for Model-Based Health Economic Evaluation Utilizing and Extending Moment-Generating Functions by Tristan Snowsill in Medical Decision Making
Additional file 1 of Golgi-associated retrograde protein (GARP) complex-dependent endosomes to trans Golgi network retrograde trafficking is controlled by Rab4b
Creators: name: Gilleron, Jérôme
name: Chafik, Abderrahman
name: Lacas-Gervais, Sandra
name: Tanti, Jean-François
name: Cormont, Mireille
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Cell Biology
subject: Marine Biology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Figure S1. (related to Figure 1). A Index of co-localization between Rab4b and organelle markers. Colocalization between organelle markers and similar level of overexpressed GFP-Rab4b. B Analysis of the co-localization between EEA1 and GFP-Rab4b wt or inactive. Object-based quantification of the number of structures positive for the indicated proteins. Figure S2. (related to Fig. 4). The down-modulation of Rab4b inhibits retrograde trafficking. A Design used to study the endosome to Golgi route. B Images quantified in Fig. 4E-F. C Confocal images iTf, iChTx, and GM130 with control or anti-Rab4b siRNA. D Same as Fig. 4G, with anti-VPS54 siRNA. Figure S3. (related to Fig. 5-6). A VPS52 immunoblot. B VPS52 labelling with control or anti-VPS52 siRNA. C 3D-reconstruction of Z-stacks. Intensity-based colocalization (white). D Z-orthoslice E 3D object-based colocalization; 3D-surface rendering (of GFP-Rab4b/p230), dots for (VPS5. F Confocal images (Fig. 6) before and after SSRF algorithm.
Unveiling Assumptions: Exploring the Decisions of AI Chatbots and Human Testers
Creators: name: Neto, Francisco Gomes de Oliveira
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: The integration of Large Language Models (LLMs) and chatbots introduces new challenges and opportunities for decision-making in software testing. Decision-making relies on a variety of information, including code, requirements specifications, and other software artifacts that are often unclear or exist solely in the developer's mind. To fill in the gaps left by unclear information, we often rely on assumptions, intuition, or previous experiences to make decisions. This paper explores the potential of LLM-based chatbots like Bard, Copilot, and ChatGPT, to support software testers in test decisions such as prioritizing test cases effectively. We investigate whether LLM-based chatbots and human testers share similar "assumptions" or intuition in prohibitive testing scenarios where exhaustive execution of test cases is often impractical. Preliminary results from a survey of 127 testers indicate a preference for diverse test scenarios, with a significant majority (96%) favoring dissimilar test sets. Interestingly, two out of four chatbots mirrored this preference, aligning with human intuition, while the others opted for similar test scenarios, chosen by only 3.9% of testers. Our initial insights suggest a promising avenue within the context of enhancing the collaborative dynamics between testers and chatbots.
description: Published at the 1st ACM International Conference on AI-Powered Software (AIWare 2024)
Morpho-kinematic properties of Wolf-Rayet planetary nebulae
Creators: name: Danehkar, A.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The majority of planetary nebulae (PNe) show axisymmetric morphologies, whose causes are not well understood. In this work, we present spatially resolved kinematic observations of 14 Galactic PNe surrounding Wolf-Rayet ([WR]) and weak emission-line stars ($wels$) based on the H$α$ and [N II] emission taken with the Wide Field Spectrograph on the Australian National University 2.3-m telescope. Velocity-resolved channel maps and position--velocity diagrams, together with archival Hubble Space Telescope ($HST$) and ground-based images, are employed to construct three-dimensional morpho-kinematic models of 12 objects using the program SHAPE. Our results indicate that these 12 PNe mostly have elliptical morphologies with either open or closed outer ends. The kinematic maps show the on-sky orientations of the interior shells in NGC6578 and NGC6629, as well as the compact ($\leq 6$ arcsec) PNe Pe1-1, M3-15, M1-25, Hen2-142, and NGC6567, in agreement with the elliptically symmetric morphologies seen in high-resolution $HST$ images. Point-symmetric knots in Hb4 exhibit deceleration with distance from the central star, which could be due to shock collisions with the ambient medium. The velocity dispersion maps of Pe1-1 also disclose the shock interaction between its collimated outflows and the interstellar medium. Collimated bipolar outflows are also visible in the position--velocity diagrams of M3-30, M1-32, and M3-15, which are reconstructed by tenuous prolate ellipsoids extending upward from dense equatorial regions in the kinematic models. The formation of aspherical morphologies and collimated outflows in these PNe could be related to the stellar evolution of hydrogen-deficient [WR] and $wels$ nuclei, which require further investigation.
description: 68 pages (17+51 in Supplementary), 5 figures (inc. 4 fig.sets, 1 interactive fig), 5 tables, published by ApJS, interactive 3D models available on https://astroneb.github.io/WR_PN_Kinematic_Models/figure5/ and https://skfb.ly/opFZv archived on https://doi.org/10.5281/zenodo.5393974
Additional file 2 of Effect of sugar-sweetened beverage taxation on sugars intake and dental caries: an umbrella review of a global perspective
Creators: name: Hajishafiee, Maryam
name: Kapellas, Kostas
name: Listl, Stefan
name: Pattamatta, Madhuri
name: Gkekas, Athanasios
name: Moynihan, Paula
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Science Policy
Hematology

description: Additional file 2. Excluded studies.
Additional file 1 of Hunting mode and habitat selection mediate the success of human hunters
Creators: name: Gaynor, Kaitlyn M.
name: McInturff, Alex
name: Abrahms, Briana L.
name: Smith, Alison M.
name: Brashares, Justin S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 1. Supplementary file containing detailed methods about data collection, processing, and analysis, and additional figures and tables that summarize the data and detailed results.
Additional file 4 of Effect of sugar-sweetened beverage taxation on sugars intake and dental caries: an umbrella review of a global perspective
Creators: name: Hajishafiee, Maryam
name: Kapellas, Kostas
name: Listl, Stefan
name: Pattamatta, Madhuri
name: Gkekas, Athanasios
name: Moynihan, Paula
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Science Policy
Hematology

description: Additional file 4. Data extraction forms for included systematic reviews addressing Question 3.
Supplementary_table_1_-_NEW - Potential Opioid-Related Adverse Drug Events Are Associated With Decreased Revenue in Hip Replacement Surgery in the Older Population
Creators: name: Baker, Justin
name: Brovman, Ethan Y.
name: Nikhilesh Rao
name: Beutler, Sascha S.
name: Urman, Richard D.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110308 Geriatrics and Gerontology
subject: FOS: Clinical medicine
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: FOS: Health sciences
subject: 110323 Surgery

description: Supplementary_table_1_-_NEW for Potential Opioid-Related Adverse Drug Events Are Associated With Decreased Revenue in Hip Replacement Surgery in the Older Population by Justin Baker, Ethan Y. Brovman, Nikhilesh Rao, Sascha S. Beutler and Richard D. Urman in Geriatric Orthopaedic Surgery & Rehabilitation
A fast and reliable method for the comparison of covariance matrices
Creators: name: Ferreira, Tassia
name: Marra, Valerio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Covariance matrices are important tools for obtaining reliable parameter constraints. Advancements in cosmological surveys lead to larger data vectors and, consequently, increasingly complex covariance matrices, whose number of elements grows as the square of the size of the data vector. The most straightforward way of comparing these matrices, in terms of their ability to produce parameter constraints, involves a full cosmological analysis, which can be very computationally expensive. Using the concept and construction of compression schemes, which have become increasingly popular, we propose a fast and reliable way of comparing covariance matrices. The basic idea is to focus only on the portion of the covariance matrix that is relevant for the parameter constraints and quantify, via a fast Monte Carlo simulation, the difference of a second candidate matrix from the baseline one. To test this method, we apply it to two covariance matrices that were used to analyse the cosmic shear measurements for the Dark Energy Survey Year 1. We found that the uncertainties on the parameters change by 2.6%, a figure in agreement with the full cosmological analysis. While our approximate method cannot replace a full analysis, it may be useful during the development and validation of codes that estimate covariance matrices. Our method takes roughly 100 times less CPUh than a full cosmological analysis.
description: 10 pages, 4 figures, 2 tables. Covariance comparison code available at https://github.com/t-ferreira/Covariance_comparison. V2 reflects version accepted for publication in MNRAS
Additional file 1 of HAIC Combined with lenvatinib plus PD-1 versus lenvatinib Plus PD-1 in patients with high-risk advanced HCC: a real-world study
Creators: name: Chang, Xu
name: Li, Xinge
name: Sun, Peng
name: Li, Zhenfeng
name: Sun, Pengfei
name: Ning, Shangkun
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Virology

description: Supplementary Material 1
Additional file 5 of Effect of sugar-sweetened beverage taxation on sugars intake and dental caries: an umbrella review of a global perspective
Creators: name: Hajishafiee, Maryam
name: Kapellas, Kostas
name: Listl, Stefan
name: Pattamatta, Madhuri
name: Gkekas, Athanasios
name: Moynihan, Paula
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Science Policy
Hematology

description: Additional file 5. AMSTAR results for included systematic reviews and evidence syntheses.
Appendix_5_online_supp_revised – Supplemental material for A New Method for Model-Based Health Economic Evaluation Utilizing and Extending Moment-Generating Functions
Creators: name: Snowsill, Tristan
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Appendix_5_online_supp_revised for A New Method for Model-Based Health Economic Evaluation Utilizing and Extending Moment-Generating Functions by Tristan Snowsill in Medical Decision Making
Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV 1.0 Compliant Open-Source Processor
Creators: name: Perotti, Matteo
name: Cavalcante, Matheus
name: Andri, Renzo
name: Cavigelli, Lukas
name: Benini, Luca
Publisher: name: arXiv
Year: 2023
Subjects: subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Vector processing is highly effective in boosting processor performance and efficiency for data-parallel workloads. In this paper, we present Ara2, the first fully open-source vector processor to support the RISC-V V 1.0 frozen ISA. We evaluate Ara2's performance on a diverse set of data-parallel kernels for various problem sizes and vector-unit configurations, achieving an average functional-unit utilization of 95% on the most computationally intensive kernels. We pinpoint performance boosters and bottlenecks, including the scalar core, memories, and vector architecture, providing insights into the main vector architecture's performance drivers. Leveraging the openness of the design, we implement Ara2 in a 22nm technology, characterize its PPA metrics on various configurations (2-16 lanes), and analyze its microarchitecture and implementation bottlenecks. Ara2 achieves a state-of-the-art energy efficiency of 37.8 DP-GFLOPS/W (0.8V) and 1.35GHz of clock frequency (critical path: ~40 FO4 gates). Finally, we explore the performance and energy-efficiency trade-offs of multi-core vector processors: we find that multiple vector cores help overcome the scalar core issue-rate bound that limits short-vector performance. For example, a cluster of eight 2-lane Ara2 (16 FPUs) achieves more than 3x better performance than a 16-lane single-core Ara2 (16 FPUs) when executing a 32x32x32 matrix multiplication, with 1.5x improved energy efficiency.
description: To be published in: IEEE Transactions on Computers