cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Conocephalus saltator
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Coleoptera
Dryophthoridae
Conocephalus
Conocephalus saltator

description: Conocephalus saltator (nomen dubium)
Rehn, 1909: 216; T. Walker and Greenfield, 1984: 379.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 432, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Learning Temporally Equivariance for Degenerative Disease Progression in OCT by Predicting Future Representations
Creators: name: Emre, Taha
name: Chakravarty, Arunava
name: Lachinov, Dmitrii
name: Rivail, Antoine
name: Schmidt-Erfurth, Ursula
name: Bogunović, Hrvoje
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Contrastive pretraining provides robust representations by ensuring their invariance to different image transformations while simultaneously preventing representational collapse. Equivariant contrastive learning, on the other hand, provides representations sensitive to specific image transformations while remaining invariant to others. By introducing equivariance to time-induced transformations, such as disease-related anatomical changes in longitudinal imaging, the model can effectively capture such changes in the representation space. In this work, we propose a Time-equivariant Contrastive Learning (TC) method. First, an encoder embeds two unlabeled scans from different time points of the same patient into the representation space. Next, a temporal equivariance module is trained to predict the representation of a later visit based on the representation from one of the previous visits and the corresponding time interval with a novel regularization loss term while preserving the invariance property to irrelevant image transformations. On a large longitudinal dataset, our model clearly outperforms existing equivariant contrastive methods in predicting progression from intermediate age-related macular degeneration (AMD) to advanced wet-AMD within a specified time-window.
description: Accepted at MICCAI 2024 (early accept, top 11%)
Additional file 5: Figure S3. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Cancer
subject: Plant Biology
subject: 60506 Virology
subject: Computational Biology

description: Unigenes upregulated by MeJA treatment in Îą-Linolenic acid metabolism. (DOCX 34Â kb)
First principles simulations of dense hydrogen
Creators: name: Bonitz, Michael
name: Vorberger, Jan
name: Bethkenhagen, Mandy
name: Böhme, Maximilian
name: Ceperley, David
name: Filinov, Alexey
name: Gawne, Thomas
name: Graziani, Frank
name: Gregori, Gianluca
name: Hamann, Paul
name: Hansen, Stephanie
name: Holzmann, Markus
name: Hu, S. X.
name: Kählert, Hanno
name: Karasiev, Valentin
name: Kleinschmidt, Uwe
name: Kordts, Linda
name: Makait, Christopher
name: Militzer, Burkhard
name: Moldabekov, Zhandos
name: Pierleoni, Carlo
name: Preising, Martin
name: Ramakrishna, Kushal
name: Redmer, Ronald
name: Schwalbe, Sebastian
name: Svensson, Pontus
name: Dornheim, Tobias
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: Accurate knowledge of the properties of hydrogen at high compression is crucial for astrophysics (e.g. planetary and stellar interiors, brown dwarfs, atmosphere of compact stars) and laboratory experiments, including inertial confinement fusion. There exists experimental data for the equation of state, conductivity, and Thomson scattering spectra. However, the analysis of the measurements at extreme pressures and temperatures typically involves additional model assumptions, which makes it difficult to assess the accuracy of the experimental data. rigorously. On the other hand, theory and modeling have produced extensive collections of data. They originate from a very large variety of models and simulations including path integral Monte Carlo (PIMC) simulations, density functional theory (DFT), chemical models, machine-learned models, and combinations thereof. At the same time, each of these methods has fundamental limitations (fermion sign problem in PIMC, approximate exchange-correlation functionals of DFT, inconsistent interaction energy contributions in chemical models, etc.), so for some parameter ranges accurate predictions are difficult. Recently, a number of breakthroughs in first principle PIMC and DFT simulations were achieved which are discussed in this review. Here we use these results to benchmark different simulation methods. We present an update of the hydrogen phase diagram at high pressures, the expected phase transitions, and thermodynamic properties including the equation of state and momentum distribution. Furthermore, we discuss available dynamic results for warm dense hydrogen, including the conductivity, dynamic structure factor, plasmon dispersion, imaginary-time structure, and density response functions. We conclude by outlining strategies to combine different simulations to achieve accurate theoretical predictions.
Gryllus campestris Linnaeus 1758
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Haglotettigoniidae
Gryllus
Gryllus campestris

description: Gryllus campestris (Linnaeus, 1758)
[= Acheta campestris Linnaeus, 1758] Saussure, 1877: 305 –307, fig. IV, 1–3, 5–8.
Distribution. Europe on the Mediterranean coasts.
Notes. At the CZACC collection there is a specimen determined as such by C. S. Bruner. According to the information in the identification label with the specimen, it was obtained from a passenger traveling from Portugal to Havana in 1937.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 432, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Additional file 8: Figure S5. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Cancer
subject: Plant Biology
subject: Computational Biology

description: Unigenes upregulated by MeJA treatment in phenylpropanoid biosynthesis metabolism. (DOCX 52Â kb)
Highly anisotropic multi-phase nanocomposite thin film for multifunctionality  and tunability
Creators: name: Zhang, Yizhi
Publisher: name: Purdue University Graduate School
Year: 2024
Subjects: classificationCode: 401602
subject: Composite and hybrid materials

description: Over the past few decades, metamaterials have attracted great research interest due to their extraordinary properties which cannot be easily achieved by natural materials. For example, anisotropic metamaterials that exhibit different properties along different directions, are valuable in different fields of optics. To achieve such anisotropic performance, nanocomposite designs by coupling different materials and functionalities have been demonstrated as an effective approach.The goal of this dissertation is to design and fabricate anisotropic multiphase nanocomposite thin films with multifunctionality and tunability. Both transition metal oxides and transition metal nitrides are selected to study due to their high thermal stability, good crystallinity, and unique electromagnetic properties. In addition, different metals, especially plasmonic Au and magnetic Co, are selected as the metallic phase to fabricate nanocomposites. The designs also extend beyond the traditional two-phase nanocomposites to multiphase nanocomposites containing metal, oxide, and nitride, with more metamaterial design possibilities and more functionalities.The dissertation consists of the introduction of multiphase nanocomposite thin film and experimental techniques, followed by four research chapters. In the first research chapter, hyperbolic HfO2-Au with tunable optical properties is fabricated and studied. In the second research chapter, the magnetic Co is introduced into the nanocomposite thin film for multifunctionality design, and the obtained ZrO2-Co thin film exhibits both hyperbolic optical property and magnetic anisotropy. In the third research chapter, vertically aligned nanocomposite (VAN) design and multilayer design are combined to achieve a complete three-phase HfO2-Au/TiN-Au multilayer nanocomposite. Such a complete structure can exhibit tunable optical response. In the fourth research chapter, the magnetic Co is combined with the superconducting NbN to explore more applications of such VAN design. Overall, the dissertation work demonstrates various approaches of anisotropic metamaterials designs using oxides, nitrides, and metals. Enhanced functionality and multifunctionalities are demonstrated. Future research is needed for incorporating these new metamaterials designs in optical devices and sensors.
STOLAS: STOchastic LAttice Simulation of cosmic inflation
Creators: name: Mizuguchi, Yurino
name: Murata, Tomoaki
name: Tada, Yuichiro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We develop a C++ package of the STOchastic LAttice Simulation (STOLAS) of cosmic inflation. It performs the numerical lattice simulation in the application of the stochastic-$δN$ formalism. STOLAS can directly compute the three-dimensional map of the observable curvature perturbation without estimating its statistical properties. In its application to two toy models of inflation, chaotic inflation and Starobinsky's linear-potential inflation, we confirm that STOLAS is well-consistent with the standard perturbation theory. Furthermore, by introducing the importance sampling technique, we have success in numerically sampling the current abundance of primordial black holes in a non-perturbative way. The package is available at https://github.com/STOchasticLAtticeSimulation/STOLAS_dist.
description: 34 pages, 10 figures; v2 matches the accepted version in JCAP
Additional file 4: Table S2. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: Pathway classification of tea leaves. (DOC 58Â kb)
Gryllus capitatus Saussure 1874
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Haglotettigoniidae
Gryllus
Gryllus capitatus

description: Gryllus capitatus Saussure, 1874
Gundlach, 1891: 369; Rehn, 1909: 219.
Distribution. Peru, Chile and Ecuador.
Notes. There is a series of specimens at CZACC that in order to clarify their identity need to be reexamined.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 432, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
Advancements in Gravity Compensation and Control for the da Vinci Surgical Robot
Creators: name: Shaw, Ankit
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This research delves into the enhancement of control mechanisms for the da Vinci Surgical System, focusing on the implementation of gravity compensation and refining the modeling of the master and patient side manipulators. Leveraging the Robot Operating System (ROS) the study aimed to fortify the precision and stability of the robots movements essential for intricate surgical procedures. Through rigorous parameter identification and the Euler Lagrange approach the team successfully derived the necessary torque equations and established a robust mathematical model. Implementation of the actual robot and simulation in Gazebo highlighted the efficacy of the developed control strategies facilitating accurate positioning and minimizing drift. Additionally, the project extended its contributions by constructing a comprehensive model for the patient side manipulator laying the groundwork for future research endeavors. This work signifies a significant advancement in the pursuit of enhanced precision and user control in robotic assisted surgeries.
 NOTE - This work has been submitted to the IEEE for publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Copyright on this article is reserved by IEEE
description: This work has been submitted to the IEEE for possible publication
Additional file 1: Table S1. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: Cancer
subject: Plant Biology

description: Statistical of the filtered raw date. (DOC 56Â kb)
EchoPT: A Pretrained Transformer Architecture that Predicts 2D In-Air Sonar Images for Mobile Robotics
Creators: name: Steckel, Jan
name: Jansen, Wouter
name: Huebel, Nico
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Machine Learning (cs.LG)
subject: Systems and Control (eess.SY)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The predictive brain hypothesis suggests that perception can be interpreted as the process of minimizing the error between predicted perception tokens generated by an internal world model and actual sensory input tokens. When implementing working examples of this hypothesis in the context of in-air sonar, significant difficulties arise due to the sparse nature of the reflection model that governs ultrasonic sensing. Despite these challenges, creating consistent world models using sonar data is crucial for implementing predictive processing of ultrasound data in robotics. In an effort to enable robust robot behavior using ultrasound as the sole exteroceptive sensor modality, this paper introduces EchoPT, a pretrained transformer architecture designed to predict 2D sonar images from previous sensory data and robot ego-motion information. We detail the transformer architecture that drives EchoPT and compare the performance of our model to several state-of-the-art techniques. In addition to presenting and evaluating our EchoPT model, we demonstrate the effectiveness of this predictive perception approach in two robotic tasks.
Additional file 6: Figure S4. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Plant Biology
subject: 60506 Virology
subject: Computational Biology

description: Unigenes upregulated by MeJA treatment in Terpenoid backbone biosynthesis metabolism. (DOCX 52Â kb)
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language
Creators: name: Requeima, James
name: Bronskill, John
name: Choi, Dami
name: Turner, Richard E.
name: Duvenaud, David
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (stat.ML)
subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Machine learning practitioners often face significant challenges in formally integrating their prior knowledge and beliefs into predictive models, limiting the potential for nuanced and context-aware analyses. Moreover, the expertise needed to integrate this prior knowledge into probabilistic modeling typically limits the application of these models to specialists. Our goal is to build a regression model that can process numerical data and make probabilistic predictions at arbitrary locations, guided by natural language text which describes a user's prior knowledge. Large Language Models (LLMs) provide a useful starting point for designing such a tool since they 1) provide an interface where users can incorporate expert insights in natural language and 2) provide an opportunity for leveraging latent problem-relevant knowledge encoded in LLMs that users may not have themselves. We start by exploring strategies for eliciting explicit, coherent numerical predictive distributions from LLMs. We examine these joint predictive distributions, which we call LLM Processes, over arbitrarily-many quantities in settings such as forecasting, multi-dimensional regression, black-box optimization, and image modeling. We investigate the practical details of prompting to elicit coherent predictive distributions, and demonstrate their effectiveness at regression. Finally, we demonstrate the ability to usefully incorporate text into numerical predictions, improving predictive performance and giving quantitative structure that reflects qualitative descriptions. This lets us begin to explore the rich, grounded hypothesis space that LLMs implicitly encode.
Additional file 2: Figure S1. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Distribution of contigs, transcripts and unigenes in tea leaves. (DOCX 83Â kb)
Additional file 3: Figure S2. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: EggNOG classification of the tea leaves transcriptome. (DOCX 138Â kb)
Quantum Energy Teleportation versus Information Teleportation
Creators: name: Wang, Jinzhao
name: Yao, Shunyu
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Quantum energy teleportation (QET) is the phenomenon in which locally inaccessible energy is activated as extractable work through collaborative local operations and classical communication (LOCC) with an entangled partner. It closely resembles the more well-known quantum information teleportation (QIT) where quantum information can be sent through an entangled pair with LOCC. It is tempting to ask how QET is related to QIT. Here we report a first study of this connection. Despite the apparent similarity, we show that these two phenomena are not only distinct but moreover are mutually competitive. We show a perturbative trade-off relation between their performance in a thermal entangled chaotic many-body system, in which both QET and QIT are simultaneously implemented through a traversable wormhole in an emergent spacetime. Motivated by this example, we study a generic setup of two entangled qudits and prove a universal non-perturbative trade-off bound. It shows that for any teleportation protocol, the overall performance of QET and QIT together is constrained by the entanglement resource. We discuss some explanations of our results.
description: 5+7 pages, 3 figures. Comments are welcome; v2 minor changes, published version
Local Causal Discovery for Structural Evidence of Direct Discrimination
Creators: name: Maasch, Jacqueline
name: Gan, Kyra
name: Chen, Violet
name: Orfanoudaki, Agni
name: Akpinar, Nil-Jana
name: Wang, Fei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (stat.ML)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Identifying the causal pathways of unfairness is a critical objective for improving policy design and algorithmic decision-making. Prior work in causal fairness analysis often requires knowledge of the causal graph, hindering practical applications in complex or low-knowledge domains. Moreover, global discovery methods that learn causal structure from data can display unstable performance on finite samples, preventing robust fairness conclusions. To mitigate these challenges, we introduce local discovery for direct discrimination (LD3): a method that uncovers structural evidence of direct unfairness by identifying the causal parents of an outcome variable. LD3 performs a linear number of conditional independence tests relative to variable set size, and allows for latent confounding under the sufficient condition that all parents of the outcome are observed. We show that LD3 returns a valid adjustment set (VAS) under a new graphical criterion for the weighted controlled direct effect, a qualitative indicator of direct discrimination. LD3 limits unnecessary adjustment, providing interpretable VAS for assessing unfairness. We use LD3 to analyze causal fairness in two complex decision systems: criminal recidivism prediction and liver transplant allocation. LD3 was more time-efficient and returned more plausible results on real-world data than baselines, which took 46$\times$ to 5870$\times$ longer to execute.
Additional file 7: Figure S6. of Transcriptional responses and flavor volatiles biosynthesis in methyl jasmonate-treated tea leaves
Creators: name: Shi, Jiang
name: Ma, ChengYing
name: Qi, DanDan
name: Lv, HaiPeng
name: Yang, Ting
name: Peng, QunHua
name: ZongMao Chen
name: Lin, Zhi
Publisher: name: Figshare
Year: 2015
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Computational Biology

description: Simplified scheme of the interactions among the biosynthetic pathways responsible for volatiles and non-volatiles stress metabolites in plant. (DOCX 262Â kb)
Additional file 1: Figure S1. of Netrin1/DCC signaling promotes neuronal migration in the dorsal spinal cord
Creators: name: Junge, Harald
name: Yung, Andrea
name: Goodrich, Lisa
name: Chen, Zhe
Publisher: name: Figshare
Year: 2016
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology

description: ROBO3 expression in the spinal cord. ROBO3 is highly expressed in differentiated commissural neurons and their axons, and can also be detected at the periphery of progenitors. PAX7 labels the dorsal progenitors. PAX6 labels progenitors except in the ventral most spinal cord. Scale bars, 50 μm in the top panel and 10 μm in the bottom. (PDF 7076 kb)
Sinorhaphidophora hainanensis
Creators: name: Bian, Xun
Publisher: name: Zenodo
Year: 2024
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Rhaphidophoridae
Sinorhaphidophora
Sinorhaphidophora hainanensis

description: Sinorhaphidophora hainanensis (Bian & Shi, 2016)
¾南华ĸDz
Figures 6–7
Material examined. 1 male and 2 females, Limushan, Qiongzhong, Hainan, June 6, 2024, Yanting Qin and Yizhen Yao; 1 male, Limushan, Qiongzhong, Hainan, June 8, 2024, Yanting Qin and Yizhen Yao; 6 males and 1 female, Zhongyong, Qiongzhong, Hainan, June 10, 2024, Yanting Qin and Yizhen Yao.
Distribution. Hainan (Bawangling, Limushan, Wuzhishan).
description: Published as part of Bian, Xun, 2024, Contribution to the Chinese subfamily Rhaphidophorinae Walker, 1869 (Orthoptera: Rhaphidophoridae: Rhaphidophorinae) VIII: Three new species of Sinorhaphidophora from Hainan Province, pp. 257-268 in Zootaxa 5519 (2) on page 265, DOI: 10.11646/zootaxa.5519.2.5, http://zenodo.org/record/13915860
Online continual learning through unsupervised mutual information maximization
Creators: name: Hihn, Heinke
name: Braun, Daniel A.
Publisher: name: Universität Ulm
Year: 2024
Subjects: subject: Continual learning
subject: Mutual information
subject: Contrastive learning
subject: Bayesian non-parametrics
subject: Dirichlet process models
subject: Variational methods
subject: DDC 004 / Data processing & computer science

description: Catastrophic forgetting remains a challenge for artificial learning systems, especially in the case of Online learning, where task information is unavailable. This work proposes a novel task-agnostic approach for class-incremental Continual Learning that combines expansion and regularization methods through a non-parametric model. The model adds new experts automatically while regularizing old experts under a variational Bayes paradigm. Expert selection is implemented using Contrastive Learning techniques, catastrophic forgetting is mitigated by minimizing mutual information between the experts’ posterior and prior feature embeddings. Importantly, our method successfully handles single source tasks such as split-MNIST and split-CIFAR-10/100, mixed source tasks like split-CIFAR-100/split-F-CelebA, and long task sequences such as split-TinyImageNet, without using generative models or replay mechanisms. We also successfully extend our approach to Continual Reinforcement learning tasks. Our method achieves these results in a task-agnostic and replay-free setting, making it more flexible than most existing Continual Learning approaches without compromising performance. We provide the code and hyper-parameters for our experiments.
Can telluric acid replace chromate as a homogeneous catalyst in the chlorate process?
Creators: name: Sellin, Annicka
name: Busch, Michael
name: Wildlock, Mats
name: Ahlberg, Elisabet
name: Simic, Nina
Publisher: name: Universität Ulm
Year: 2023
Subjects: subject: Sodium chlorate
subject: Energy efficiency
subject: Homogeneous catalysis
subject: Telluric acid
subject: Chromates
subject: DDC 540 / Chemistry & allied sciences

description: Finding an alternative to Cr(VI) as catalyst for the conversion of hypochlorite/hypochlorous acid to chlorate is of critical importance to render the industrial chlorate process safe and sustainable. Recently, telluric acid was identified as a potential replacement but its performance under industrial conditions and its interactions with other parts of the process are still unknown. These factors are elucidated by a combination of density functional theory (DFT) modeling and pilot plant studies. Our results indicate, that the addition of telluric acid indeed has a beneficial effect on the decomposition of HOCl to chlorate. The increased performance, shown as a decreased oxygen formation and an increase in anodic current efficiency. It is mostly related to a buffering effect and an increased selectivity for chlorate formation. Unfortunately, a low cathodic current efficiency was achieved due to reduction of telluric acid to solid Te/TeO2 particles in the electrolyte and at the cathode. Despite the benefits of buffering effects and increased selectivity for chlorate formation, telluric acid is unsuitable as replacement for Cr(VI) in the chlorate process due to lack of compatibility with all process conditions.
Semantic Landmark Detection & Classification Using Neural Networks For 3D In-Air Sonar
Creators: name: Jansen, Wouter
name: Steckel, Jan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: In challenging environments where traditional sensing modalities struggle, in-air sonar offers resilience to optical interference. Placing a priori known landmarks in these environments can eliminate accumulated errors in autonomous mobile systems such as Simultaneous Localization and Mapping (SLAM) and autonomous navigation. We present a novel approach using a convolutional neural network to detect and classify ten different reflector landmarks with varying radii using in-air 3D sonar. Additionally, the network predicts the orientation angle of the detected landmarks. The neural network is trained on cochleograms, representing echoes received by the sensor in a time-frequency domain. Experimental results in cluttered indoor settings show promising performance. The CNN achieves a 97.3% classification accuracy on the test dataset, accurately detecting both the presence and absence of landmarks. Moreover, the network predicts landmark orientation angles with an RMSE lower than 10 degrees, enhancing the utility in SLAM and autonomous navigation applications. This advancement improves the robustness and accuracy of autonomous systems in challenging environments.
MOESM13 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Cell Biology
subject: Molecular Biology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Computational Biology

description: Additional file 13: Figure S8. A graphical representation of pairwise Dâ   for the DGAT1 region (A) and GHR region (B).
Phoebolampta excellens F. Walker 1869
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Phaneropteridae
Phoebolampta
Phoebolampta excellens

description: Phoebolampta excellens (F. Walker, 1869)
[= P. magnifica] Perez-Gelabert, 2001: 68.
Distribution. Hispaniola.
Notes. This name is included in the catalogs of Bolívar (1888), Gundlach (1891) and Rehn (1909). This last author suggests that this listing likely represents Phoebolampta cubensis.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 433, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
MOESM3 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences

description: Additional file 3: Figure S3. PCA analysis on Chinese Holstein population (HOL_CHI) with the world reference dataset and the Simmental reference population included in WIDDE.
Locally inaccessible hidden quantum correlations
Creators: name: Ducuara, Andrés F.
name: Susa, Cristian E.
name: Skrzypczyk, Paul
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We prove, modulo a conjecture on quantum steering ellipsoids being true, the existence of the phenomenon of locally inaccessible hidden quantum correlations. That is, the existence of two-particle states whose hidden quantum correlations cannot be revealed by local filters implemented exclusively on one side of the experiment, but that can still be revealed when both parties cooperate in applying judiciously chosen local filters. The quantum correlations here considered are the violation of the CHSH-inequality for Bell-nonlocality and the violation of the $\rm F_3$-inequality for EPR-steering. Specifically, we provide a necessary criterion for guaranteeing the presence of such phenomenon for arbitrary two-qubit states. This criterion in turn relies on the conjecture that the maximal violation of CHSH-inequality and $\rm F_3$-inequality are both upper bounded by functions that depend on the magnitude of the quantum steering ellipsoid centre. This latter conjecture, although currently lacking an analytical proof, is supported by numerical results. We use this necessary criterion to explicitly show examples of two-qubit states with locally inaccessible hidden quantum correlations and, furthermore, two-qubit states with locally inaccessible maximal hidden quantum correlations.
description: 9 pages, 4 figures
Floquet Analysis on an Irradiated Nodal Surface Semimetal with Non-Symmorphic Symmetry
Creators: name: Pandit, Bhaskar
name: Kar, Satyaki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: A nodal surface semimetal (NSSM) features symmetry enforced band crossings along a surface within the three-dimensional (3D) Brillouin zone (BZ) and a presence of a nonsymmorphic symmetry there pushes such surfaces to stick to the BZ center or boundaries. The topological robustness of the same does not always come with nonzero Berry fluxes. We consider two such nodal surfaces (NS), one with zero and another with nonzero topological charges and investigate the effect of light irradiation on them. We find that depending on the state of polarization, one can obtain additional Weyl points/ nodal surfaces in the corresponding Floquet Hamiltonians. Particularly, using a simple two band spinless/spin polarized models with no spin orbit coupling, we emphasize the low energy behavior of the continuum Hamiltonians close to the band crossings and its evolution in a Floquet system in the high frequency limit. In the Floquet system, we also find the nodal surfaces to perish or new multi Weyl points to get popped up for different polarization scenario or different NSSM Hamiltonians. Our findings open up important avenues on what out of equilibrium NSSM systems can offer in many active fields including quantum computations.
description: Final version
MOESM6 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Computational Biology

description: Additional file 6: Figure S5. Genome-wide distribution of SNP-based LRH values for Holstein and Simmental. The dash line indicates the threshold for the LRH test (LRHÂ >Â 2.6).
Polyancistrus serrulatus
Creators: name: Yong, Sheyla
name: Perez-Gelabert, Daniel E.
Publisher: name: Zenodo
Year: 2014
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Orthoptera
Phaneropteridae
Polyancistrus
Polyancistrus serrulatus

description: Polyancistrus serrulatus (Palisot de Beauvois, 1805)
Gundlach, 1891: 354. Perez-Gelabert, 2001: 61.
Distribution. Dominican Republic.
Notes. This species is considered endemic to Hispaniola. The only Polyancistrini known from Cuba are the three species of the endemic genus Polyancistroides Rehn.
description: Published as part of Yong, Sheyla & Perez-Gelabert, Daniel E., 2014, Grasshoppers, Crickets and Katydids (Insecta: Orthoptera) of Cuba: an annotated checklist, pp. 401-438 in Zootaxa 3827 (4) on page 433, DOI: 10.11646/zootaxa.3827.4.1, http://zenodo.org/record/228581
MOESM14 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Computational Biology

description: Additional file 14: Figure S9. Distribution of unweighted means of minor allele frequencies for non-genic and exonic SNPs in the low-MAF bin (0-0.05).
MOESM7 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Plant Biology
subject: Computational Biology

description: Additional file 7: Figure S6. Genome-wide distribution of 500-kb window-based maximum |XP-EHH| and average FST. The dash line indicates the threshold for the FST test.
MOESM2 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Evolutionary Biology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Additional file 2. Figure S2. Number of SNPs in 500-kb windows for the XP-EHH test.
Stabilized Adaptive Steering for 3D Sonar Microphone Arrays with IMU Sensor Fusion
Creators: name: Jansen, Wouter
name: Laurijssen, Dennis
name: Steckel, Jan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: This paper presents a novel software-based approach to stabilizing the acoustic images for in-air 3D sonars. Due to uneven terrain, traditional static beamforming techniques can be misaligned, causing inaccurate measurements and imaging artifacts. Furthermore, mechanical stabilization can be more costly and prone to failure. We propose using an adaptive conventional beamforming approach by fusing it with real-time IMU data to adjust the sonar array's steering matrix dynamically based on the elevation tilt angle caused by the uneven ground. Additionally, we propose gaining compensation to offset emission energy loss due to the transducer's directivity pattern and validate our approach through various experiments, which show significant improvements in temporal consistency in the acoustic images. We implemented a GPU-accelerated software system that operates in real-time with an average execution time of 210ms, meeting autonomous navigation requirements.
MOESM4 of Identification of selective sweeps reveals divergent selection between Chinese Holstein and Simmental cattle populations
Creators: name: Minhui Chen
name: Dunfei Pan
name: Hongyan Ren
name: Jinluan Fu
name: Li, Junya
name: Guosheng Su
name: Aiguo Wang
name: Jiang, Li
name: Zhang, Qin
name: Liu, Jian-Feng
Publisher: name: Figshare
Year: 2016
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Evolutionary Biology
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics

description: Additional file 4: Figure S4. PCA analysis on Chinese Simmental population (SIM_CHI) with the world reference dataset and the Simmental reference population included in WIDDE.
CARACAS: vehiCular ArchitectuRe for detAiled Can Attacks Simulation
Creators: name: Kirdi, Sadek Misto
name: Scarano, Nicola
name: Oberti, Franco
name: Mannella, Luca
name: Di Carlo, Stefano
name: Savino, Alessandro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Modern vehicles are increasingly vulnerable to attacks that exploit network infrastructures, particularly the Controller Area Network (CAN) networks. To effectively counter such threats using contemporary tools like Intrusion Detection Systems (IDSs) based on data analysis and classification, large datasets of CAN messages become imperative. This paper delves into the feasibility of generating synthetic datasets by harnessing the modeling capabilities of simulation frameworks such as Simulink coupled with a robust representation of attack models to present CARACAS, a vehicular model, including component control via CAN messages and attack injection capabilities. CARACAS showcases the efficacy of this methodology, including a Battery Electric Vehicle (BEV) model, and focuses on attacks targeting torque control in two distinct scenarios.
description: 6 pages, 8 figures, TrustAICyberSec workshop - IEEE ISCC 2024
Additional file 1: of Transcriptomic analysis reveals the gene expression profile that specifically responds to IBA during adventitious rooting in mung bean seedlings
Creators: name: Shi-Weng Li
name: Shi, Rui-Fang
name: Leng, Yan
name: Zhou, Yuan
Publisher: name: Figshare
Year: 2016
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: 69999 Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Plant Biology

description: Sequencing data information. (DOCX 13 kb)