cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Casimir Wormholes in Brans-Dicke Theory
Creators: name: Ziaie, Amir Hadi
name: Mehdizadeh, Mohammad Reza
Publisher: name: arXiv
Year: 2024
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: In recent years there has been a growing interest in the field of wormhole physics in the presence of the Casimir effect. As this effect provides negative energy density, it can be utilized as an ideal candidate for the exotic matter required for creating a traversable wormhole. In the context of modified theories of gravity such as Brans-Dicke (BD) theory \cite{BDTH}, wormhole geometries {have} been vastly investigated{. However}, the scientific literature is silent on the issue of BD wormholes in the presence of Casimir energy. Our aim in the present study is to seek for static spherically symmetric solutions representing wormhole configurations in BD theory with Casimir energy as the supporting matter. The Casimir {setup} we assume comprises two electrically neutral, infinitely large parallel planes placed in a vacuum. We then consider the Casimir vacuum energy density of a scalar field in such a configuration with Dirichlet {and} mixed boundary conditions. In the former case, the corresponding Casimir force is attractive and in the latter this force is repulsive. We present exact zero tidal force wormhole solutions as well as those with non-vanishing redshift function for both types of Casimir energies. The conditions on wormhole solutions along with the weak (WEC) and null (NEC) energy conditions put constraints on the values of BD coupling parameter. These constraints are also subject to the value of BD scalar field at the throat and the throat radius. We therefore find that BD wormholes in the presence of Casimir energy can exist without violating NEC and WEC (for the repulsive Casimir force). Finally, we examine the equilibrium condition for the stability of the obtained solutions using Tolman-Oppenheimer-Volkoff (TOV) equation.
description: 26 pages and 10 figures
Obstructions to smooth group actions on 4-manifolds from families Seiberg-Witten theory
Creators: name: Baraglia, David
Publisher: name: arXiv
Year: 2018
Subjects: subject: Differential Geometry (math.DG)
subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57R57, 57R50, 57M60

description: Let $X$ be a smooth, compact, oriented $4$-manifold. Building upon work of Li-Liu, Ruberman, Nakamura and Konno, we consider a families version of Seiberg-Witten theory and obtain obstructions to the existence of certain group actions on $X$ by diffeomorphisms. The obstructions show that certain group actions on $H^2(X , \mathbb{Z})$ preserving the intersection form can not be lifted an action of the same group on $X$ by diffeomorphisms. Using our obstructions, we construct numerous examples of group actions which can be realised continuously but can not be realised smoothly for any differentiable structure. For example, we construct compact simply-connected $4$-manifolds $X$ and involutions $f : H^2(X , \mathbb{Z}) \to H^2(X , \mathbb{Z})$ such that $f$ can be realised by a continuous involution on $X$ or by a diffeomorphism, but not by an involutive diffeomorphism for any smooth structure on $X$.
description: 27 pages
User Study on the Trustworthiness, Usability and Explainability of Intent-based and Large Language Model-based Career Planning Conversational Agents
Creators: name: Zylowski, Thorsten
name: Sautchuk-Patricio, Nathalia
name: Hettmann, Wladimir
name: Anderer, Katharina
name: Fischer, Karl
name: Wölfel, Matthias
name: Henning, Peter
Publisher: name: Association for Computing Machinery (ACM)
Year: 2024

description: Choosing a career and educational path is a challenging decision for young people. Career planning conversational agents (CAs) can assist by identifying suitable occupations and educational paths. Trustworthiness is an important dimension for the acceptance of a career planning CA and is influenced by several factors. We conducted a user study with n=114 participants across three schools in Germany to explore the trustworthiness of different career planning CAs. We examined the correlation between trustworthiness and perceived competence, autonomy, and social relatedness from self-determination theory (SDT), as well as the explainability of interactions and several usability dimensions of the assistants. These dimensions included the ability to guide the conversation, onboarding quality, error tolerance, and information relevance. We tested three different variants of the career planning assistant: a form-based assistant, an intent-based CA, and a large language model (LLM)-based CA. The results showed that the LLM-based CA was on average significantly more trustworthy and was perceived as more explainable than the intent-based CA. Key trust factors included conversation flexibility, chatbot credibility, intent recognition, and maintenance of a secure conversation. Additionally, perceived autonomy was crucial for trust across all types of assistants and perceived relatedness for the two CAs. Our findings highlight key areas essential for developing trustworthy CAs.
Fluoropyrimidines trigger decay of hypomodified tRNA in yeast
Creators: name: Görlitz, Katharina
name: Bessler, Larissa
name: Helm, Mark
name: Schaffrath, Raffael
name: Klassen, Roland
Publisher: name: Universität Kassel
Year: 2024
Subjects: subject: 570
subject: Transfer-RNS
subject: Saccharomyces cerevisiae
subject: Fluoropyrimidine
subject: Cytotoxizität
subject: Bioaktive Verbindungen

description: Gefördert durch den Publikationsfonds der Universität Kassel
description: LOEWE (Landes-Offensive zur Entwicklung Wissenschaftlich-ökonomischer Exzellenz) [LOEWE/5/A001/519/06/00.002(0002)/E02 to R.K.]; DFG (Deutsche Forschungsgemeinschaft) Priority Program SPP1784 ‘Chemical Biology of Native Nucleic Acid Modifications’ [SCHA750/20 to R.S., KL2937/1 to R.K., HE3397/14-2 to M.H.]; Additional support of R.K. and R.S. by the DFG Research Training Group ‘multiscale clocks’ [448909517/GRK 2749] as well as support of M.H. by the DFG [TP C03 in TRR 319; Project-ID 439669440].
Six line configurations and string dualities
Creators: name: Clingher, Adrian
name: Malmendier, Andreas
name: Shaska, Tony
Publisher: name: arXiv
Year: 2018
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 11F03, 14J28, 14J81

description: We study the family of K3 surfaces of Picard rank sixteen associated with the double cover of the projective plane branched along the union of six lines, and the family of its Van Geemen-Sarti partners, i.e., K3 surfaces with special Nikulin involutions, such that quotienting by the involution and blowing up recovers the former. We prove that the family of Van Geemen-Sarti partners is a four-parameter family of K3 surfaces with $H \oplus E_7(-1) \oplus E_7(-1)$ lattice polarization. We describe explicit Weierstrass models on both families using even modular forms on the bounded symmetric domain of type $IV$. We also show that our construction provides a geometric interpretation, called geometric two-isogeny, for the F-theory/heterotic string duality in eight dimensions. As a result, we obtain novel F-theory models, dual to non-geometric heterotic string compactifications in eight dimensions with two non-vanishing Wilson line parameters.
description: 42 pages; minor typos corrected in version 2
Smart City Development with Urban Transfer Learning
Creators: name: Wang, Leye
name: Guo, Bin
name: Yang, Qiang
Publisher: name: arXiv
Year: 2018
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Nowadays, the smart city development levels of different cities are still unbalanced. For a large number of cities which just started development, the governments will face a critical cold-start problem: 'how to develop a new smart city service with limited data?'. To address this problem, transfer learning can be leveraged to accelerate the smart city development, which we term the urban transfer learning paradigm. This article investigates the common process of urban transfer learning, aiming to provide city planners and relevant practitioners with guidelines on how to apply this novel learning paradigm. Our guidelines include common transfer strategies to take, general steps to follow, and case studies in public safety, transportation management, etc. We also summarize a few research opportunities and expect this article can attract more researchers to study urban transfer learning.
Interlayer Fermi polarons of excited exciton states in quantizing magnetic fields
Creators: name: Cui, Huiying
name: Hu, Qianying
name: Zhao, Xuan
name: Ma, Liguo
name: Jin, Feng
name: Zhang, Qingming
name: Watanabe, Kenji
name: Taniguchi, Takashi
name: Shan, Jie
name: Mak, Kin Fai
name: Li, Yongqing
name: Xu, Yang
Publisher: name: arXiv
Year: 2024
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: The study of exciton-polarons has offered profound insights into the many-body interactions between bosonic excitations and their immersed Fermi sea within layered heterostructures. However, little is known about the properties of exciton polarons with interlayer interactions. Here through magneto-optical reflectance contrast measurements, we experimentally investigate interlayer Fermi polarons for 2s excitons in WSe$_2$/graphene heterostructures, where the excited exciton states (2s) in the WSe$_2$ layer are dressed by free charge carriers of the adjacent graphene layer in the Landau quantization regime. First, such a system enables an optical detection of integer and fractional quantum Hall states (e.g. $ν=\pm1/3$, $\pm$2/3) of monolayer graphene. Furthermore, we observe that the 2s state evolves into two distinct branches, denoted as attractive and repulsive polarons, when graphene is doped out of the incompressible quantum Hall gaps. Our work paves the way for the understanding of the excited composite quasiparticles and Bose-Fermi mixtures.
description: 21 pages, 4 figures, and supporting information
Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications
Creators: name: Zhang, Chao
name: Gao, Xianjie
name: Hsieh, Min-Hsiu
name: Hang, Hanyuan
name: Tao, Dacheng
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Theory (cs.IT)
subject: Optimization and Control (math.OC)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: In this paper, we study tail inequalities of the largest eigenvalue of a matrix infinitely divisible (i.d.) series, which is a finite sum of fixed matrices weighted by i.d. random variables. We obtain several types of tail inequalities, including Bennett-type and Bernstein-type inequalities. This allows us to further bound the expectation of the spectral norm of a matrix i.d. series. Moreover, by developing a new lower-bound function for $Q(s)=(s+1)\log(s+1)-s$ that appears in the Bennett-type inequality, we derive a tighter tail inequality of the largest eigenvalue of the matrix i.d. series than the Bernstein-type inequality when the matrix dimension is high. The resulting lower-bound function is of independent interest and can improve any Bennett-type concentration inequality that involves the function $Q(s)$. The class of i.d. probability distributions is large and includes Gaussian and Poisson distributions, among many others. Therefore, our results encompass the existing work \cite{tropp2012user} on matrix Gaussian series as a special case. Lastly, we show that the tail inequalities of a matrix i.d. series have applications in several optimization problems including the chance constrained optimization problem and the quadratic optimization problem with orthogonality constraints. In addition, we also use the resulting tail bounds to show that random matrices constructed from i.d. random variables satisfy the restricted isometry property (RIP) when it acts as a measurement matrix in compressed sensing.
description: Final Version
Additional file 4 of Recombination-mediated dissemination of Methicillin-resistant S. aureus clonal complex 1 in the Egyptian health care settings
Creators: name: Elsayed, Salma W.
name: Elghaish, Reem A.
name: Badr, Eman
name: Mouftah, Shaimaa F.
name: Saif, Nehal A.
name: Naga, Iman S.
name: Shata, Ahmed H.
name: Pascoe, Ben
name: Sheppard, Samuel K.
name: Elhadidy, Mohamed
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Evolutionary Biology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 4. Distribution of antibiotic resistance profiles (A) and virulence (B) genes in the four major clonal complexes (CC1, CC121, CC8 and CC22).
Latent Denoising Diffusion GAN: Faster sampling, Higher image quality
Creators: name: Trinh, Luan Thanh
name: Hamagami, Tomoki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Diffusion models are emerging as powerful solutions for generating high-fidelity and diverse images, often surpassing GANs under many circumstances. However, their slow inference speed hinders their potential for real-time applications. To address this, DiffusionGAN leveraged a conditional GAN to drastically reduce the denoising steps and speed up inference. Its advancement, Wavelet Diffusion, further accelerated the process by converting data into wavelet space, thus enhancing efficiency. Nonetheless, these models still fall short of GANs in terms of speed and image quality. To bridge these gaps, this paper introduces the Latent Denoising Diffusion GAN, which employs pre-trained autoencoders to compress images into a compact latent space, significantly improving inference speed and image quality. Furthermore, we propose a Weighted Learning strategy to enhance diversity and image quality. Experimental results on the CIFAR-10, CelebA-HQ, and LSUN-Church datasets prove that our model achieves state-of-the-art running speed among diffusion models. Compared to its predecessors, DiffusionGAN and Wavelet Diffusion, our model shows remarkable improvements in all evaluation metrics. Code and pre-trained checkpoints: \url{https://github.com/thanhluantrinh/LDDGAN.git}
description: Submited to IEEE Access
Normal forms for Kummer surfaces
Creators: name: Clingher, Adrian
name: Malmendier, Andreas
Publisher: name: arXiv
Year: 2018
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14J28

description: We determine normal forms for the Kummer surfaces associated with abelian surfaces of polarization of type $(1,1)$, $(1,2)$, $(2,2)$, $(2,4)$, and $(1,4)$. Explicit formulas for coordinates and moduli parameters in terms of Theta functions of genus two are also given. The normal forms in question are closely connected to the generalized Riemann identities for Theta functions of Mumford's.
description: 49 pages
LUP913606 Supplemental Material - Supplemental material for Anti-vimentin antibodies: a unique antibody class associated with therapy-resistant lupus nephritis
Creators: name: Kinloch, Andrew J
name: Cascino, Matthew D
name: Dai, Jian
name: Bermea, Rene S
name: Kichul Ko
name: Vesselits, Margaret
name: Dragone, Leonard L
name: Nirit Mor Vaknin
name: Legendre, Maureen
name: Markovitz, David M
name: Okoreeh, Michael K
name: Townsend, Michael J
name: Clark, Marcus R
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111702 Aged Health Care
subject: FOS: Health sciences

description: Supplemental material, LUP913606 Supplemental Material for Anti-vimentin antibodies: a unique antibody class associated with therapy-resistant lupus nephritis by Andrew J Kinloch, Matthew D Cascino, Jian Dai, Rene S Bermea, Kichul Ko, Margaret Vesselits, Leonard L Dragone, Nirit Mor Vaknin, Maureen Legendre, David M Markovitz, Michael K Okoreeh, Michael J Townsend and Marcus R Clark in Lupus
Additional file 5 of Recombination-mediated dissemination of Methicillin-resistant S. aureus clonal complex 1 in the Egyptian health care settings
Creators: name: Elsayed, Salma W.
name: Elghaish, Reem A.
name: Badr, Eman
name: Mouftah, Shaimaa F.
name: Saif, Nehal A.
name: Naga, Iman S.
name: Shata, Ahmed H.
name: Pascoe, Ben
name: Sheppard, Samuel K.
name: Elhadidy, Mohamed
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Biotechnology
subject: Evolutionary Biology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 5. Correlation matrix between Antibiotic resistance and clonal complexes with the statistically significant correlations (p <= 0.05).
Supplemental Material, supplementary_information_27_january - Exploring links between early adversities and later outcomes for children adopted from care: Implications for planning post adoption support
Creators: name: Neil, Elsbeth
name: Morciano, Marcello
name: Young, Julie
name: Hartley, Louise
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, supplementary_information_27_january for Exploring links between early adversities and later outcomes for children adopted from care: Implications for planning post adoption support by Elsbeth Neil, Marcello Morciano, Julie Young and Louise Hartley in Developmental Child Welfare
SUPPLEMENTARY_FILE_Pt_Ex - A Framework for Improving Parent Satisfaction With the Inpatient Pediatric Admission Process: Experience From a Low-Resource Setting
Creators: name: Hoodbhoy, Zahra
name: Rasheed, Muneera A
name: Farheen Sherali
name: Sehrish Hussain
name: Rahmat Hassan
name: Aneela Hameed
name: Ali, Rashid
name: Hasan, Babar
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Medicine

description: SUPPLEMENTARY_FILE_Pt_Ex for A Framework for Improving Parent Satisfaction With the Inpatient Pediatric Admission Process: Experience From a Low-Resource Setting by Zahra Hoodbhoy, Muneera A Rasheed, Farheen Sherali, Sehrish Hussain, Rahmat Hassan, Aneela Hameed, Rashid Ali and Babar Hasan in Journal of Patient Experience
Towards Understanding Emotions for Engaged Mental Health Conversations
Creators: name: Sim, Kellie Yu Hui
name: Fortuno, Kohleen Tijing
name: Choo, Kenny Tsu Wei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: H.5.2; I.2.7

description: Providing timely support and intervention is crucial in mental health settings. As the need to engage youth comfortable with texting increases, mental health providers are exploring and adopting text-based media such as chatbots, community-based forums, online therapies with licensed professionals, and helplines operated by trained responders. To support these text-based media for mental health--particularly for crisis care--we are developing a system to perform passive emotion-sensing using a combination of keystroke dynamics and sentiment analysis. Our early studies of this system posit that the analysis of short text messages and keyboard typing patterns can provide emotion information that may be used to support both clients and responders. We use our preliminary findings to discuss the way forward for applying AI to support mental health providers in providing better care.
description: 5 pages, 1 figure, to be published in DIS Companion '24
A Grover-search Based Quantum Learning Scheme for Classification
Creators: name: Du, Yuxuan
name: Hsieh, Min-Hsiu
name: Liu, Tongliang
name: Tao, Dacheng
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: The hybrid quantum-classical learning scheme provides a prominent way to achieve quantum advantages on near-term quantum devices. A concrete example towards this goal is the quantum neural network (QNN), which has been developed to accomplish various supervised learning tasks such as classification and regression. However, there are two central issues that remain obscure when QNN is exploited to accomplish classification tasks. First, a quantum classifier that can well balance the computational cost such as the number of measurements and the learning performance is unexplored. Second, it is unclear whether quantum classifiers can be applied to solve certain problems that outperform their classical counterparts. Here we devise a Grover-search based quantum learning scheme (GBLS) to address the above two issues. Notably, most existing QNN-based quantum classifiers can be seamlessly embedded into the proposed scheme. The key insight behind our proposal is reformulating the classification tasks as the search problem. Numerical simulations exhibit that GBLS can achieve comparable performance with other quantum classifiers under various noise settings, while the required number of measurements is dramatically reduced. We further demonstrate a potential quantum advantage of GBLS over classical classifiers in the measure of query complexity. Our work provides guidance to develop advanced quantum classifiers on near-term quantum devices and opens up an avenue to explore potential quantum advantages in various classification tasks.
description: final version
POL914571_Appendix – Supplemental material for Hindsight bias in expert surveys: How democratic crises influence retrospective evaluations
Creators: name: Levick, Laura
name: Olavarria-Gambi, Mauricio
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, POL914571_Appendix for Hindsight bias in expert surveys: How democratic crises influence retrospective evaluations by Laura Levick and Mauricio Olavarria-Gambi in Politics
Suzuki functor at the critical level
Creators: name: Przezdziecki, Tomasz
Publisher: name: arXiv
Year: 2018
Subjects: subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: In this paper we define and study a critical-level generalization of the Suzuki functor, relating the affine general linear Lie algebra to the rational Cherednik algebra of type A. Our main result states that this functor induces a surjective algebra homomorphism from the centre of the completed universal enveloping algebra at the critical level to the centre of the rational Cherednik algebra at t=0. We use this homomorphism to obtain several results about the functor. We compute it on Verma modules, Weyl modules, and their restricted versions. We describe the maps between endomorphism rings induced by the functor and deduce that every simple module over the rational Cherednik algebra lies in its image. Our homomorphism between the two centres gives rise to a closed embedding of the Calogero-Moser space into the space of opers on the punctured disc. We give a partial geometric description of this embedding.
description: Some changes in the presentation, a few minor mistakes corrected
Supplementary_Materials_3 – Supplemental material for A Comparison of T2 Relaxation-Based MRI Stroke Timing Methods in Hyperacute Ischemic Stroke Patients: A Pilot Study
Creators: name: McGarry, Bryony L
name: Damion, Robin A
name: Chew, Isabel
name: Knight, Michael J
name: Harston, George WJ
name: Carone, Davide
name: Jezzard, Peter
name: Amith Sitaram
name: Muir, Keith W
name: Clatworthy, Philip
name: Kauppinen, Risto A
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine

description: Supplemental material, Supplementary_Materials_3 for A Comparison of T2 Relaxation-Based MRI Stroke Timing Methods in Hyperacute Ischemic Stroke Patients: A Pilot Study by Bryony L McGarry, Robin A Damion, Isabel Chew, Michael J Knight, George WJ Harston, Davide Carone, Peter Jezzard, Amith Sitaram, Keith W Muir, Philip Clatworthy and Risto A Kauppinen in Journal of Central Nervous System Disease
Properties of Noncommutative Renyi and Augustin Information
Creators: name: Cheng, Hao-Chung
name: Gao, Li
name: Hsieh, Min-Hsiu
Publisher: name: arXiv
Year: 2018
Subjects: subject: Quantum Physics (quant-ph)
subject: Information Theory (cs.IT)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Rényi and Augustin information are generalizations of mutual information defined via the Rényi divergence, playing a significant role in evaluating the performance of information processing tasks by virtue of its connection to the error exponent analysis. In quantum information theory, there are three generalizations of the classical Rényi divergence -- the Petz's, sandwiched, and log-Euclidean versions, that possess meaningful operational interpretation. However, the associated quantum Rényi and Augustin information are much less explored compared with their classical counterpart, and lacking crucial properties hinders applications of these quantities to error exponent analysis in the quantum regime. The goal of this paper is to analyze fundamental properties of the Rényi and Augustin information from a noncommutative measure-theoretic perspective. Firstly, we prove the uniform equicontinuity for all three quantum versions of Rényi and Augustin information, and it hence yields the joint continuity of these quantities in order and prior input distributions. Secondly, we establish the concavity of the scaled Rényi and Augustin information in the region of $s\in(-1,0)$ for both Petz's and the sandwiched versions. This completes the open questions raised by Holevo [IEEE Trans.~Inf.~Theory, 46(6):2256--2261, 2000], and Mosonyi and Ogawa [Commun.~Math.~Phys., 355(1):373--426, 2017]. For the applications, we show that the strong converse exponent in classical-quantum channel coding satisfies a minimax identity, which means that the strong converse exponent can be attained by the best constant composition code. The established concavity is further employed to prove an entropic duality between classical data compression with quantum side information and classical-quantum channel coding, and a Fenchel duality in joint source-channel coding with quantum side information.
description: Final Version
Supplemental Material, Appendix - Expanding Student Knowledge and Confidence on Dietary Supplements Through Mock Patient Consultations
Creators: name: Walsh, Kendra
name: Cohen, Lisa
name: Hume, Anne L.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: FOS: Health sciences
subject: 111702 Aged Health Care
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental Material, Appendix for Expanding Student Knowledge and Confidence on Dietary Supplements Through Mock Patient Consultations by Kendra Walsh, Lisa Cohen and Anne L. Hume in Journal of Pharmacy Practice
switchers_RR2_submit_anon_1_supp_Mat – Supplemental material for Who Donates to Party Switchers?
Creators: name: Hamel, Brian T.
name: Yoshinaka, Antoine
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, switchers_RR2_submit_anon_1_supp_Mat for Who Donates to Party Switchers? by Brian T. Hamel and Antoine Yoshinaka in American Politics Research
D2D Data Offloading in Vehicular Environments with Optimal Delivery Time Selection
Creators: name: Pescosolido, Loreto
name: Conti, Marco
name: Passarella, Andrea
Publisher: name: arXiv
Year: 2019
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: Within the framework of a Device-to-Device (D2D) data offloading system for cellular networks, we propose a Content Delivery Management System (CDMS) in which the instant for transmitting a content to a requesting node, through a D2D communication, is selected to minimize the energy consumption required for transmission. The proposed system is particularly fit to highly dynamic scenarios, such as vehicular networks, where the network topology changes at a rate which is comparable with the order of magnitude of the delay tolerance. We present an analytical framework able to predict the system performance, in terms of energy consumption, using tools from the theory of point processes, validating it through simulations, and provide a thorough performance evaluation of the proposed CDMS, in terms of energy consumption and spectrum use. Our performance analysis compares the energy consumption and spectrum use obtained with the proposed scheme with the performance of two benchmark systems. The first one is a plain classic cellular scheme, the second is a D2D data offloading scheme (that we proposed in previous works) in which the D2D transmissions are performed as soon as there is a device with the required content within the maximum D2D transmission range...
Electroweak phase transition in the presence of hypermagnetic field and the generation of gravitational waves
Creators: name: Abedi, H.
name: Ahmadvand, M.
name: Gousheh, S. S.
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We investigate the effects of a large-scale background hypermagnetic field on the electroweak phase transition. We propose a model in which an effective weak angle varies during the electroweak phase transition and upon its use we show that, although for the majority of the parameter space the phase transition is a crossover, there are tiny regions in which the phase transition occurs in two steps and can be first-order. We obtain all of the important quantities characterizing the details of the first-order phase transition, including the latent heat, transition temperature and duration. We then calculate the gravitational wave energy spectrum generated during the first-order part of the electroweak phase transition and find that, for strong enough background hypermagnetic fields, these signals can be detected by the Ultimate-DECIGO interferometer.
description: 22 pages, 7 figures; accepted for publication in Journal of Physics G: Nuclear and Particle Physics
Rational points in the moduli space of genus two
Creators: name: Beshaj, L.
name: Hidalgo, R.
name: Kruk, S.
name: Malmendier, A.
name: Quispe, S.
name: Shaska, T.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14H50 (11G05 14H10 14Q05)

description: We build a database of genus 2 curves defined over $\mathbb Q$ which contains all curves with minimal absolute height $h \leq 5$, all curves with moduli height $\mathfrak h \leq 20$, and all curves with extra automorphisms in standard form $y^2=f(x^2)$ defined over $\mathbb Q$ with height $h \leq 101$. For each isomorphism class in the database, an equation over its minimal field of definition is provided, the automorphism group of the curve, Clebsch and Igusa invariants. The distribution of rational points in the moduli space $\mathcal M_2$ for which the field of moduli is a field of definition is discussed and some open problems are presented.
Additional file 1 of Use of clinical scores in young Australian adults for prediction of atherosclerosis in middle age
Creators: name: Huynh, Quan
name: Venn, Alison J.
name: Magnussen, Costan G.
name: Yang, Hong
name: Venkataraman, Prasanna
name: Dwyer, Terence
name: Marwick, Thomas H.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology
subject: Computational Biology

description: Additional file 1. Supplementary Tables and Figures. Supplementary Table 1. Estimation of Fuster-BEWAT score. Supplementary Table 2. Characteristics of carotid plaque measured at follow-up when participants were aged 40-50 years. Supplementary Table 3. Univariable logistic regression of risk score components with carotid plaque, with adjustment for changes over 13 years of follow-up. Supplementary Table 4. Logistic regression of risk score components with carotid plaque, with adjustment for changes over 13 years of follow-up. Supplementary Table 5. Net Reclassification of adding PCE to FBS in prediction of carotid plaque at follow-up. Supplementary Figure 1. Study sample. Supplementary Figure 2. Calibration of the 3 risk scores in predicting carotid plaque at follow-up.
Universal Cross-Lingual Text Classification
Creators: name: Savant, Riya
name: Shelke, Anushka
name: Todmal, Sakshi
name: Kanphade, Sanskruti
name: Joshi, Ananya
name: Joshi, Raviraj
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Text classification, an integral task in natural language processing, involves the automatic categorization of text into predefined classes. Creating supervised labeled datasets for low-resource languages poses a considerable challenge. Unlocking the language potential of low-resource languages requires robust datasets with supervised labels. However, such datasets are scarce, and the label space is often limited. In our pursuit to address this gap, we aim to optimize existing labels/datasets in different languages. This research proposes a novel perspective on Universal Cross-Lingual Text Classification, leveraging a unified model across languages. Our approach involves blending supervised data from different languages during training to create a universal model. The supervised data for a target classification task might come from different languages covering different labels. The primary goal is to enhance label and language coverage, aiming for a label set that represents a union of labels from various languages. We propose the usage of a strong multilingual SBERT as our base model, making our novel training strategy feasible. This strategy contributes to the adaptability and effectiveness of the model in cross-lingual language transfer scenarios, where it can categorize text in languages not encountered during training. Thus, the paper delves into the intricacies of cross-lingual text classification, with a particular focus on its application for low-resource languages, exploring methodologies and implications for the development of a robust and adaptable universal cross-lingual model.
description: Accepted at I2CT 2024
The mounting pressure of the ‘breast is best’ message: Impact of breastfeeding difficulties on maternal mental health
Creators: name: Braithwaite, Elizabeth
Publisher: name: OSF Registries
Year: 2023
Subjects: subject: Mental Disorders
subject: Maternal and Child Health
subject: Pediatric Nursing
subject: Psychiatry and Psychology
subject: Psychiatric and Mental Health
subject: Public Health
subject: Medicine and Health Sciences
subject: Life Sciences
subject: Maternal, Child Health and Neonatal Nursing
subject: Other Mental and Social Health
subject: Mental and Social Health
subject: Nursing
subject: FOS: Health sciences
subject: Nursing Midwifery

description: This preregistration includes a summary of the background literature which lead to the development of the rationale for the study, the study aim and hypotheses. Directional hypotheses are detailed as well as a description of the data that has been collected and the data analysis plan.
title: Export dynamics and sales at home
Creators: name: Berman, Nicolas
name: Berthou, Antoine
name: Héricourt, Jérôme
Publisher: name: Graduate Institute of International and Development Studies
publisherIdentifier: https://ror.org/007ygn379
publisherIdentifierScheme: ROR
Year: 2011

description: Graduate Institute of International and Development Studies Working Paper ; no. 14/2011
Event-by-Event Fluctuations Clusterization and Entropy Production in AA Collisions at AGS and SPS Energies
Creators: name: Ali, Bushra
name: Khan, Shaista
name: Chandra, Anuj
name: Ahmad, Shakeel
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Event-by-event (ebe) fluctuations in mean pseudorapidity values of relativistic charged particles in full phase space is studied by analysing experimental data on $^{16}O-AgBr$ collisions at 14.5A, 60A, and 200A GeV/c and $^{32}S-AgBr$ collisions at 200A GeV/c. The findings are compared with the prediction of A Multi-Phase Transport(\amm) model and those obtained from the analysis of correlation free Monte-Carlo events. Fluctuations in mean pseudorapidity distributions are noticed to be in excess to that expected from the statistically independent particle emission. The observed dependence of the fluctuation strength measure parameter,$ϕ$ on the beam energy and number of participating target nucleons indicate that nucleus-nucleus collisions can not be treated as simple superposition of multiple nucleon-nucleon interactions. Presence of clusters or jet-like phenomena in multihadron final states are searched for on ebe basis by using the concept of Jaynes Shannon entropy. The findings indicate the presence of cluster like objects in the experimental data with their size and frequency increasing with increasing beam energy. These observations, in turn suggest that the clustering or jet-like algorithm adopted in the present study may be used as a tool for triggering different classes of events.
description: International Journal of Modern Physics E, to be published(accepted)
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models
Creators: name: Maurya, Avinash
name: Underwood, Robert
name: Rafique, M. Mustafa
name: Cappello, Franck
name: Nicolae, Bogdan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: LLMs have seen rapid adoption in all domains. They need to be trained on high-end high-performance computing (HPC) infrastructures and ingest massive amounts of input data. Unsurprisingly, at such a large scale, unexpected events (e.g., failures of components, instability of the software, undesirable learning patterns, etc.), are frequent and typically impact the training in a negative fashion. Thus, LLMs need to be checkpointed frequently so that they can be rolled back to a stable state and subsequently fine-tuned. However, given the large sizes of LLMs, a straightforward checkpointing solution that directly writes the model parameters and optimizer state to persistent storage (e.g., a parallel file system), incurs significant I/O overheads. To address this challenge, in this paper we study how to reduce the I/O overheads for enabling fast and scalable checkpointing for LLMs that can be applied at high frequency (up to the granularity of individual iterations) without significant impact on the training process. Specifically, we introduce a lazy asynchronous multi-level approach that takes advantage of the fact that the tensors making up the model and optimizer state shards remain immutable for extended periods of time, which makes it possible to copy their content in the background with minimal interference during the training process. We evaluate our approach at scales of up to 180 GPUs using different model sizes, parallelism settings, and checkpointing frequencies. The results show up to 48$\times$ faster checkpointing and 2.2$\times$ faster end-to-end training runtime compared with the state-of-art checkpointing approaches.
description: Published at HPDC '24: The 33rd International Symposium on High-Performance Parallel and Distributed Computing. Source code at https://github.com/DataStates/datastates-llm
Commissioning and operation of the Cherenkov detector for proton Flux Measurement of the UA9 Experiment
Creators: name: Addesa, F. M.
name: Burmistrov, L.
name: Breton, D.
name: Cavoto, G.
name: Chaumat, V.
name: Dubos, S.
name: Esposito, L.
name: Galluccio, F.
name: Garattini, M.
name: Iacoangeli, F.
name: Maalmi, J.
name: Mirarchi, D.
name: Natochii, A.
name: Puill, V.
name: Rossi, R.
name: Scandale, W.
name: Montesano, S.
name: Stocchi, A.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: Accelerator Physics (physics.acc-ph)
subject: FOS: Physical sciences

description: The UA9 Experiment at CERN-SPS investigates channeling processes in bent silicon crystals with the aim to manipulate hadron beams. Monitoring and characterization of channeled beams in the high energy accelerators environment ideally requires in-vacuum and radiation hard detectors. For this purpose the Cherenkov detector for proton Flux Measurement (CpFM) was designed and developed. It is based on thin fused silica bars in the beam pipe vacuum which intercept charged particles and generate Cherenkov light. The first version of the CpFM is installed since 2015 in the crystal-assisted collimation setup of the UA9 experiment. In this paper the procedures to make the detector operational and fully integrated in the UA9 setup are described. The most important standard operations of the detector are presented. They have been used to commission and characterize the detector, providing moreover the measurement of the integrated channeled beam profile and several functionality tests as the determination of the crystal bending angle. The calibration has been performed with Lead (Pb) and Xenon (Xe) beams and the results are applied to the flux measurement discussed here in detail.
description: 25 pages, 14 figures
Microbial diversity analysis of selected agro-ecological subregions of West Bengal
Creators: name: Debarshi Dasgupta
name: Dr. G.P. Brahmaprakash
Publisher: name: F1000Research
Year: 2017

description: Soil is a very complex, inter-related community of microorganisms which influence physico-chemical properties and vice-versa. This study was undertaken to enumerate the culturable populations of various agriculturally important microorganisms from the soils of West Bengal. Three agro-ecological sub-regions (AESRs) were considered for this purpose, which show variation in physiography, climate and environment. The sampling of soils was done from June to July, 2015.  Higher bacterial and actinomycetes populations were observed in soil samples from AESR 15.1, while in AESR 18.5 a higher fungal population was observed. This reflects the general observation that these two regions are more fertile than AESR 12.3, which is predominantly hot and dry. In AESR 12.3 and AESR 15.1, the abundance of actinomycetes in soil was found to be higher than that of fungi, indicating a significant influence of weather on the culturable microbial populations. Diversity indices were used to quantify the existing microbial diversity. It was noticed that the Ganga eastern plain showed the highest Shannon-Wiener index (0.302) of diversity while the Chhotanagpur plateau showed the lowest value (0.286). The Eastern coastal plain displayed the highest Simpson’s index of diversity (0.373) whereas the Ganga eastern plain showed the lowest value (0.350), indicating varying patterns of species richness and evenness among the three regions. The patterns of correlation between the microbes and soil properties were also noted and interpreted. This study reveals microbial diversity of soil to be a dynamic property, subject to various influencing factors.
Reconfigurable Intelligent Surface Equipped UAV in Emergency Wireless Communications: A New Fading-Shadowing Model and Performance Analysis
Creators: name: Chen, Yinong
name: Cheng, Wenchi
name: Zhang, Wei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Theory (cs.IT)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Communication infrastructure is often severely disrupted in post-disaster areas, which interrupts communications and impedes rescue. Recently, the technology of reconfigurable intelligent surface (RIS)-equipped-UAV has been investigated as a feasible approach to assist communication under such conditions. However, the channel characteristics in the post-disaster area rapidly change due to the topographical changes caused by secondary disasters and the high mobility of UAVs. In this paper we develop a new fading-shadowing model to fit the path loss caused by the debris. Following this, we derive the exact distribution of the new channel statistics for a small number of RIS elements and the approximate distribution for a large number of RIS elements, respectively. Then, we derive the closed-form expressions for performance analysis, including average capacity (AC), energy efficiency (EE), and outage probability (OP). Based on the above analytical derivations, we maximize the energy efficiency by optimizing the number of RIS elements and the coverage area by optimizing the altitude of the RIS-equipped UAV, respectively. Finally, simulation results validate the accuracy of derived expressions and show insights related to the optimal number of RIS elements and the optimal UAV altitude for emergency wireless communication (EWC).
Short- and Long-term 5-year Clinical Outcomes of DopplerguidedHemorrhoidal Artery Ligation and RectoanalRepair
Creators: name: Prayuth Sirivongs, Rangsima Thiengthiantham
Publisher: name: Text and Journal Publication
Year: 2016
Subjects: Doppler-guided hemorrhoidal artery ligation, long-term outcomes, rectoanal repair.

description: Vajira Med, 60, 1
Pengaruh Relasi Orang Tua – Anak Terhadap Kedisiplinan pada Santri MD Al-Muhajirin Cipadung-Bandung
Creators: name: Hartono, Jajang
Publisher: name: Zenodo
Year: 2011
Subjects: subject: Psychology, Educational
subject: Pyschology
subject: Parent-Child Relationship
subject: Discipline of Children

description: SKRIPSI

Diajukan Sebagai Salah Satu Syarat

Untuk Memperoleh Gelar Sarjana Psikologi

Pada Jurusan Psikologi Fakultas Psikologi

UIN Sunan Gunung Djati

Jajang Hartono: Pengaruh Relasi Orang Tua – Anak Terhadap Kedisiplinan Pada Santri MD Al-Muhajirin Cipadung – Bandung .

 

Kata Kunci: Relasi orang tua – anak, kedisiplinan,
Additional file 2 of IL20RB signaling enhances stemness and chemotherapy resistance in pancreatic cancer
Creators: name: Li, Xiao-hui
name: Huang, Gui-zhong
name: Xu, Zi-lan
name: Zhao, Chong-yu
name: Dong, Xiao-yuan
name: Cui, Bo-kang
name: Lin, Xiao-jun
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Science Policy

description: Additional file 2: Figure S1. IL20RB promotes pancreatic cancer invasiveness in vitro. Transwell assay and statistical analysis of PANC-1 and MIA PaCa-2 (n=3/group).