cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Supplementary Material for: Conversion from Epoetin and Darbepoetin to C.E.R.A. in Non-Dialysis CKD Patients: A Multicenter Italian Prospective Study in Nephrology Practice
Creators: name: Minutolo, R.
name: Conte, G.
name: Cozzolino, M.
name: Polito, P.
name: Manno, C.
name: Di Iorio, B.R.
name: Santoro, D.
name: Di Luca, M.
name: Nappi, F.
name: Feriozzi, S.
name: Sasso, F.C.
name: De Nicola, L.
Publisher: name: Karger Publishers
Year: 2017
Subjects: Medicine

description: Background: In non-dialysis patients (ND-CKD), C.E.R.A. has been extensively investigated in ESA-naïve subjects but no data are available on its efficacy after switch from other ESA. Methods: In this prospective, multicenter, open-label study lasting 24 weeks, ND-CKD patients (n = 157) receiving ESA were converted to C.E.R.A. at doses lower than recommended. Primary outcome was the prevalence of Hb target (11-12.5 g/dl). Results: Age was 73 ± 13 years and GFR was 26.2 ± 9.4 ml/min/1.73 m2; male gender, diabetes and prior cardiovascular disease were 49, 33 and 19%, respectively. Doses of darbepoetin (25 ± 16 µg/week, n = 124) and epoetin (5,702 ± 3,190 IU/week, n = 33) were switched to low dose C.E.R.A. (87 ± 17 µg/month). During the study, prevalence of Hb target increased from 60% to 68% at week-24, while that of Hb < 11 g/dl declined from 32% to 16% (p < 0.001). Hb increased from 11.3 ± 0.8 at baseline to 11.7 ± 0.9 g/dl at week-24 (p = 0.01) without changes in C.E.R.A. dose. Significant predictors of Hb increase were low BMI, low Hb and longer dosing intervals before switch. These factors also predicted the risk of Hb overshooting (Hb > 12.5 g/dl) occurring in 57 patients. Conclusions: In ND-CKD, conversion from other ESAs to C.E.R.A. is associated with a better anemia control induced by a greater Hb increase in patients previously treated with ESAs at extended dosing interval. This parameter should be considered when switching to long-acting ESA for its potential impact on the risk of overshooting.
Comparing symbolic powers of edge ideals of weighted oriented graphs
Creators: name: Mandal, Mousumi
name: Pradhan, Dipak Kumar
Publisher: name: arXiv
Year: 2021
Subjects: subject: Commutative Algebra (math.AC)
subject: FOS: Mathematics
subject: 05C22, 13D45, 05C25, 05C38, 05E40

description: Let $D$ be a weighted oriented graph and $I(D)$ be its edge ideal. If $D$ contains an induced odd cycle of length $2n+1$, under certain condition we show that $ {I(D)}^{(n+1)} \neq {I(D)}^{n+1}$. We give necessary and sufficient condition for the equality of ordinary and symbolic powers of edge ideal of a weighted oriented graph having each edge in some induced odd cycle of it. We characterize the weighted naturally oriented unicyclic graphs with unique odd cycles and weighted naturally oriented even cycles for the equality of ordinary and symbolic powers of their edge ideals. Let $ D^{\prime} $ be the weighted oriented graph obtained from $D$ after replacing the weights of vertices with non-trivial weights which are sinks, by trivial weights. We show that the symbolic powers of $I(D)$ and $I(D^{\prime})$ behave in a similar way. Finally, if $D$ is any weighted oriented star graph, we show that $ {I(D)}^{(s)} = {I(D)}^s $ for all $s \geq 2.$
Recent advances and clinical applications of deep learning in medical image analysis
Creators: name: Chen, Xuxin
name: Wang, Ximin
name: Zhang, Ke
name: Fung, Kar-Ming
name: Thai, Theresa C.
name: Moore, Kathleen
name: Mannel, Robert S.
name: Liu, Hong
name: Zheng, Bin
name: Qiu, Yuchen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Deep learning has received extensive research interest in developing new medical image processing algorithms, and deep learning based models have been remarkably successful in a variety of medical imaging tasks to support disease detection and diagnosis. Despite the success, the further improvement of deep learning models in medical image analysis is majorly bottlenecked by the lack of large-sized and well-annotated datasets. In the past five years, many studies have focused on addressing this challenge. In this paper, we reviewed and summarized these recent studies to provide a comprehensive overview of applying deep learning methods in various medical image analysis tasks. Especially, we emphasize the latest progress and contributions of state-of-the-art unsupervised and semi-supervised deep learning in medical image analysis, which are summarized based on different application scenarios, including classification, segmentation, detection, and image registration. We also discuss the major technical challenges and suggest the possible solutions in future research efforts.
description: To appear in the journal Medical Image Analysis. The registration section was revised
Minimal excludant over partitions into distinct parts
Creators: name: Kaur, Prabh Simrat
name: Bhoria, Subhash Chand
name: Eyyunni, Pramod
name: Maji, Bibekananda
Publisher: name: arXiv
Year: 2021
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: Primary: 11P81, 11P82, 05A17, Secondary: 05A19

description: The average size of the "smallest gap" of a partition was studied by Grabner and Knopfmacher in 2006. Recently, Andrews and Newman, motivated by the work of Fraenkel and Peled, studied the concept of the "smallest gap" under the name "minimal excludant" of a partition and rediscovered a result of Grabner and Knopfmacher. In the present paper, we study the sum of the minimal excludants over partitions into distinct parts, and interestingly we observe that it has a nice connection with Ramanujan's function $σ(q)$. As an application, we derive a stronger version of a result of Uncu.
description: We have added a new proposition in Section 3
Supplementary Material for: Effective Intravitreal Injections of Bevacizumab in a Case of Serous Macular Detachment from the Superior Border of the Posterior Staphyloma
Creators: name: Tsubota, Y.
name: Takahashi, H.
name: Sugisaki, K.
name: Tanabe, T.
name: Fujino, Y.
Publisher: name: Karger Publishers
Year: 2017
Subjects: Medicine

description: Purpose: We present an atypical case of submacular fluid leading to serous macular detachment. Method/Patient: A 69-year-old man was evaluated for metamorphopsia in the left eye. Results: Best-corrected visual acuity was 20/25 in both eyes. He had undergone cataract surgeries in both eyes 12 years ago. The axial length was 25.93 mm (OD) and 24.12 mm (OS). Optical coherence tomography showed posterior staphylomas and subretinal fluid on the superior border of the staphylomas in both eyes; in the left eye, submacular fluid was noted extending up to the macula. Fundus fluorescein angiography revealed leakage from the superior border of the staphylomas in both eyes. The fluid persisted for 4 months. Four consecutive, monthly injections of bevacizumab (1.25 mg/0.05 mL) were administered in the left eye; subsequently, the subretinal fluid gradually dissipated from the macula and became localized at the superior border of the staphyloma. This localization persisted for 12 months. Conclusions: We have detailed a case of submacular fluid that spread from the superior border of the posterior staphyloma in a patient with macular detachment, in whom intravitreal injections of bevacizumab were highly effective in eliminating the fluid.
Bangla Natural Language Processing: A Comprehensive Analysis of Classical, Machine Learning, and Deep Learning Based Methods
Creators: name: Sen, Ovishake
name: Fuad, Mohtasim
name: Islam, MD. Nazrul
name: Rabbi, Jakaria
name: Masud, Mehedi
name: Hasan, MD. Kamrul
name: Awal, Md. Abdul
name: Fime, Awal Ahmed
name: Fuad, Md. Tahmid Hasan
name: Sikder, Delowar
name: Iftee, MD. Akil Raihan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: The Bangla language is the seventh most spoken language, with 265 million native and non-native speakers worldwide. However, English is the predominant language for online resources and technical knowledge, journals, and documentation. Consequently, many Bangla-speaking people, who have limited command of English, face hurdles to utilize English resources. To bridge the gap between limited support and increasing demand, researchers conducted many experiments and developed valuable tools and techniques to create and process Bangla language materials. Many efforts are also ongoing to make it easy to use the Bangla language in the online and technical domains. There are some review papers to understand the past, previous, and future Bangla Natural Language Processing (BNLP) trends. The studies are mainly concentrated on the specific domains of BNLP, such as sentiment analysis, speech recognition, optical character recognition, and text summarization. There is an apparent scarcity of resources that contain a comprehensive review of the recent BNLP tools and methods. Therefore, in this paper, we present a thorough analysis of 75 BNLP research papers and categorize them into 11 categories, namely Information Extraction, Machine Translation, Named Entity Recognition, Parsing, Parts of Speech Tagging, Question Answering System, Sentiment Analysis, Spam and Fake Detection, Text Summarization, Word Sense Disambiguation, and Speech Processing and Recognition. We study articles published between 1999 to 2021, and 50% of the papers were published after 2015. Furthermore, we discuss Classical, Machine Learning and Deep Learning approaches with different datasets while addressing the limitations and current and future trends of the BNLP.
description: Accedpted in IEEE Access and it has 46 pages. Link: https://ieeexplore.ieee.org/document/9751052 (Early Access - April 10, 2022)
The geometry of Bloch space in the context of quantum random access codes
Creators: name: Mančinska, Laura
name: Storgaard, Sigurd A. L.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the communication protocol known as a Quantum Random Access Code (QRAC) which encodes $n$ classical bits into $m$ qubits ($m\tfrac{1}{2}$. Such a code is denoted by $(n,m,p)$-QRAC. If cooperation is allowed through a shared random string we call it a QRAC with shared randomness. We prove that for any $(n,m,p)$-QRAC with shared randomness the parameter $p$ is upper bounded by $ \tfrac{1}{2}+\tfrac{1}{2}\sqrt{\tfrac{2^{m-1}}{n}}$. For $m=2$ this gives a new bound of $p\le \tfrac{1}{2}+\tfrac{1}{\sqrt{2n}}$ confirming a conjecture by Imamichi and Raymond (AQIS'18). Our bound implies that the previously known analytical constructions of $(3,2,\tfrac{1}{2}+\tfrac{1}{\sqrt{6}})$- , $(4,2,\tfrac{1}{2}+\tfrac{1}{2\sqrt{2}})$- and $(6,2,\tfrac{1}{2}+\tfrac{1}{2\sqrt{3}})$-QRACs are optimal. To obtain our bound we investigate the geometry of quantum states in the Bloch vector representation and make use of a geometric interpretation of the fact that any two quantum states have a non-negative overlap.
description: 14 pages, 2 figures
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
Creators: name: Rahman, Tawsifur
name: Akinbi, Alex
name: Chowdhury, Muhammad E. H.
name: Rashid, Tarik A.
name: Şengür, Abdulkadir
name: Khandakar, Amith
name: Islam, Khandaker Reajul
name: Ismael, Aras M.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods and techniques have been proposed to detect the SARS-CoV-2 virus using different images and data. However, this is the first study that will explore the possibility of using deep convolutional neural network (CNN) models to detect COVID-19 from electrocardiogram (ECG) trace images. In this work, COVID-19 and other cardiovascular diseases (CVDs) were detected using deep-learning techniques. A public dataset of ECG images consists of 1937 images from five distinct categories, such as Normal, COVID-19, myocardial infarction (MI), abnormal heartbeat (AHB), and recovered myocardial infarction (RMI) were used in this study. Six different deep CNN models (ResNet18, ResNet50, ResNet101, InceptionV3, DenseNet201, and MobileNetv2) were used to investigate three different classification schemes: two-class classification (Normal vs COVID-19); three-class classification (Normal, COVID-19, and Other CVDs), and finally, five-class classification (Normal, COVID-19, MI, AHB, and RMI). For two-class and three-class classification, Densenet201 outperforms other networks with an accuracy of 99.1%, and 97.36%, respectively; while for the five-class classification, InceptionV3 outperforms others with an accuracy of 97.83%. ScoreCAM visualization confirms that the networks are learning from the relevant area of the trace images. Since the proposed method uses ECG trace images which can be captured by smartphones and are readily available facilities in low-resources countries, this study will help in faster computer-aided diagnosis of COVID-19 and other cardiac abnormalities.
description: 24 pages
MOESM2 of Association of mean platelet volume with incident type 2 diabetes mellitus risk: the Dongfengâ Tongji cohort study
Creators: name: Li, Zhaoyang
name: Wang, Jing
name: Han, Xu
name: Yuan, Jing
name: Guo, Huan
name: Zhang, Xiaomin
name: Zheng, Dan
name: Tang, Yuhan
name: Yang, Handong
name: He, Meian
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2: Table S2. Multivariate adjusted hazard ratios with 95% CI for incident T2DM in women and men.
Flow of time during energy measurements and the resulting time-energy uncertainty relations
Creators: name: Paiva, Ismael L.
name: Lobo, Augusto C.
name: Cohen, Eliahu
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Uncertainty relations play a crucial role in quantum mechanics. Well-defined methods exist for the derivation of such uncertainties for pairs of observables. Other approaches also allow the formulation of time-energy uncertainty relations, even though time is not an operator in standard quantum mechanics. However, in these cases, different approaches are associated with different meanings and interpretations for these relations. The one of interest here revolves around the idea of whether quantum mechanics inherently imposes a fundamental minimum duration for energy measurements with a certain precision. In our study, we investigate within the Page and Wootters timeless framework how energy measurements modify the relative "flow of time" between internal and external clocks. This provides a unified framework for discussing the subject, allowing us to recover previous results and derive new ones. In particular, we show that the duration of an energy measurement carried out by an external system cannot be performed arbitrarily fast from the perspective of the internal clock. Moreover, we show that during any energy measurement the evolution given by the internal clock is non-unitary.
description: Version accepted in Quantum
MOESM3 of Association of mean platelet volume with incident type 2 diabetes mellitus risk: the Dongfengâ Tongji cohort study
Creators: name: Li, Zhaoyang
name: Wang, Jing
name: Han, Xu
name: Yuan, Jing
name: Guo, Huan
name: Zhang, Xiaomin
name: Zheng, Dan
name: Tang, Yuhan
name: Yang, Handong
name: He, Meian
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Hematology

description: Additional file 3: Table S3. Hazard ratios of T2DM incidence for MPV stratified by characteristics relevant to MPV.
Contextual Guided Segmentation Framework for Semi-supervised Video Instance Segmentation
Creators: name: Le, Trung-Nghia
name: Nguyen, Tam V.
name: Tran, Minh-Triet
Publisher: name: arXiv
Year: 2021
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this paper, we propose Contextual Guided Segmentation (CGS) framework for video instance segmentation in three passes. In the first pass, i.e., preview segmentation, we propose Instance Re-Identification Flow to estimate main properties of each instance (i.e., human/non-human, rigid/deformable, known/unknown category) by propagating its preview mask to other frames. In the second pass, i.e., contextual segmentation, we introduce multiple contextual segmentation schemes. For human instance, we develop skeleton-guided segmentation in a frame along with object flow to correct and refine the result across frames. For non-human instance, if the instance has a wide variation in appearance and belongs to known categories (which can be inferred from the initial mask), we adopt instance segmentation. If the non-human instance is nearly rigid, we train FCNs on synthesized images from the first frame of a video sequence. In the final pass, i.e., guided segmentation, we develop a novel fined-grained segmentation method on non-rectangular regions of interest (ROIs). The natural-shaped ROI is generated by applying guided attention from the neighbor frames of the current one to reduce the ambiguity in the segmentation of different overlapping instances. Forward mask propagation is followed by backward mask propagation to further restore missing instance fragments due to re-appeared instances, fast motion, occlusion, or heavy deformation. Finally, instances in each frame are merged based on their depth values, together with human and non-human object interaction and rare instance priority. Experiments conducted on the DAVIS Test-Challenge dataset demonstrate the effectiveness of our proposed framework. We achieved the 3rd consistently in the DAVIS Challenges 2017-2019 with 75.4%, 72.4%, and 78.4% in terms of global score, region similarity, and contour accuracy, respectively.
description: Project page: https://sites.google.com/view/ltnghia/research/vos
MOESM1 of Endogenous lycopene improves ethanol production under acetic acid stress in Saccharomyces cerevisiae
Creators: name: Pan, Shuo
name: Jia, Bin
name: Liu, Hong
name: Wang, Zhen
name: Chai, Meng-Zhe
name: Ding, Ming-Zhu
name: Zhou, Xiao
name: Li, Xia
name: Li, Chun
name: Li, Bing-Zhi
name: Yuan, Ying-Jin
Publisher: name: figshare
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Plant Biology
subject: Computational Biology

description: Additional file 1: Figure S1. Stress response of lycopene expression in BY4741 or BY4742 to the presence of acetic acid by serial dilution assay. Figure S2. Fermentative profiles of yPS001 and yPS002 within 60 h during anaerobic fermentation without acetic acid. Figure S3. Stress response of lycopene expression in CEN.PK2-1C to the presence of phenol or furfural by serial dilution assay. Figure S4. Stress response of lycopene expression in BY4741 or BY4742 to the presence of phenol or furfural by serial dilution assay.
Mild pro-p groups and the Koszulity conjectures
Creators: name: Minac, Jan
name: Pasini, Federico
name: Quadrelli, Claudio
name: Tân, Nguyen Duy
Publisher: name: arXiv
Year: 2021
Subjects: subject: Group Theory (math.GR)
subject: Number Theory (math.NT)
subject: FOS: Mathematics
subject: Primary 12G05, Secondary 16S37, 20E18, 12F10, 20J06

description: Let $p$ be a prime, and $\mathbb{F}_p$ the field with $p$ elements. We prove that if $G$ is a mild pro-$p$ group with quadratic $\mathbb{F}_p$-cohomology algebra $H^\bullet(G,\mathbb{F}_p)$, then the algebras $H^\bullet(G,\mathbb{F}_p)$ and $\mathrm{gr}\mathbb{F}_p[\![G]\!]$ - the latter being induced by the quotients of consecutive terms of the $p$-Zassenhaus filtration of $G$ - are both Koszul, and they are quadratically dual to each other. Consequently, if the maximal pro-$p$ Galois group of a field is mild, then Positselski's and Weigel's Koszulity conjectures hold true for such a field.
description: Final revised version, to be published on {\guillemotleft}Expositiones Mathematic{\ae}{\guillemotright}
Classical Computer, Quantum Computer, and the Gödel's theorem
Creators: name: Wu, Biao
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: I show that the cloneability of information is the key difference between classical computer and quantum computer. As information stored and processed by neurons is cloneable, brain (human or non-human) is a classical computer. Penrose argued with the Gödel theorem that human brain is not classical. I demonstrate with an example why his argument is flawed. At the end, I discuss how to go beyond quantum computer.
MOESM2 of Endogenous lycopene improves ethanol production under acetic acid stress in Saccharomyces cerevisiae
Creators: name: Pan, Shuo
name: Jia, Bin
name: Liu, Hong
name: Wang, Zhen
name: Chai, Meng-Zhe
name: Ding, Ming-Zhu
name: Zhou, Xiao
name: Li, Xia
name: Li, Chun
name: Li, Bing-Zhi
name: Yuan, Ying-Jin
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified

description: Additional file 2: Supporting Online Text: DNA sequences of TEF1 promoter and the different mutants obtained in this work.
Oro-facial impairment in stroke patients
Creators: name: Schimmel, Martin
Publisher: name: Université de Genève
Year: 2012
Subjects: info:eu-repo/classification/ddc/617.6

description: A total of thirty-one patients suffering from stroke-related hemiparesis were recruited from the Division of Neurorehabilitation in the Department of Clinical Neurosciences at the University Hospitals of Geneva (Switzerland). The control group consisted of 24 subjects who were similar in age, gender and dental state. The investigated parameters were: chewing efficiency, maximum voluntary bite force, maximum lip restraining force, masseter muscle thickness, facial asymmetry, OHRQoL and hand-grip strength as a control parameter.
title: Evaluation of Long Term Changes in the Macrobenthic Community of the Southern branch of the Elizabeth River, Virginia
Creators: name: Hunley, William S.
Publisher: name: Old Dominion University
publisherIdentifier: https://ror.org/04zjtrb98
publisherIdentifierScheme: ROR
Year: 1993

description: Long-term changes in the macrobenthos of the Southern Branch of the Elizabeth River, Virginia were investigated by comparing the present study of community structure with that described ten years earlier by Hawthorne (1980). The results indicated that dominant organisms remained relatively constant in composition but exhibited considerable fluctuation in density. Differences in diversity and spatial distribution of fauna were also observed relative to the previous decade.

Multivariate statistical analyses indicated the macrobenthos exhibited significant spatial and seasonal patterns. Sediments characterized as silts and clays predominated down river while sandier sediment types were most common farther upriver. The spatial distributions of some species was qualitatively associated with these broad patterns in sediment type. Environmental conditions in the study area allowed the settlement of juvenile species capable of achieving high biomass but did not allow them to reach their adult maturity.
Cavity magnon-polaritons in cuprate parent compounds
Creators: name: Curtis, Jonathan B.
name: Grankin, Andrey
name: Poniatowski, Nicholas R.
name: Galitski, Victor M.
name: Narang, Prineha
name: Demler, Eugene
Publisher: name: arXiv
Year: 2021
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Cavity control of quantum matter may offer new ways to study and manipulate many-body systems. A particularly appealing idea is to use cavities to enhance superconductivity, especially in unconventional or high-$T_c$ systems. Motivated by this, we propose a scheme for coupling Terahertz resonators to the antiferromagnetic fluctuations in a cuprate parent compound, which are believed to provide the glue for Cooper pairs in the superconducting phase. First, we derive the interaction between magnon excitations of the Neél-order and polar phonons associated with the planar oxygens. This mode also couples to the cavity electric field, and in the presence of spin-orbit interactions mediates a linear coupling between the cavity and magnons, forming hybridized magnon-polaritons. This hybridization vanishes linearly with photon momentum, implying the need for near-field optical methods, which we analyze within a simple model. We then derive a higher-order coupling between the cavity and magnons which is only present in bilayer systems, but does not rely on spin-orbit coupling. This interaction is found to be large, but only couples to the bimagnon operator. As a result we find a strong, but heavily damped, bimagnon-cavity interaction which produces highly asymmetric cavity line-shapes in the strong-coupling regime. To conclude, we outline several interesting extensions of our theory, including applications to carrier-doped cuprates and other strongly-correlated systems with Terahertz-scale magnetic excitations.
description: 32 pages, 12 figures
MOESM3 of Endogenous lycopene improves ethanol production under acetic acid stress in Saccharomyces cerevisiae
Creators: name: Pan, Shuo
name: Jia, Bin
name: Liu, Hong
name: Wang, Zhen
name: Chai, Meng-Zhe
name: Ding, Ming-Zhu
name: Zhou, Xiao
name: Li, Xia
name: Li, Chun
name: Li, Bing-Zhi
name: Yuan, Ying-Jin
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Marine Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: Additional file 3. Table S1. The primers for RT-qPCR analysis.
Functional imaging of epileptic activity in humans
Creators: name: Vulliemoz, Serge
Publisher: name: Université de Genève
Year: 2012
Subjects: info:eu-repo/classification/ddc/616.8
Epilepsie
Imagerie cérébrale
Chirurgie
Imagerie par résonance magnétique fonctionnelle
Electroencéphalographie

description: Around 20% of patients suffering from epilepsy have medically refractory seizures and epilepsy surgery can offer a cure or at least a significant improvement of their seizures. in well selected patients. A comprehensive work-up combining different imaging techniques is necessary to localise brain regions involved in the epileptic network. Simultaneous ElectroEncephaloGraphy and functional Magnetic Resonance Imaging (EEG-fMRI) is a new technique that allows mapping epileptic networks at a whole-brain scale. In this work, I present several EEG-fMRI studies that investigate the clinical relevance of this technique and propose new analysis strategies to improve its sensitivity and specificity. I also report the first measurements of simultaneous intracranial EEG and fMRI in humans. These studies show that EEG-fMRI has become a non-invasive clinically useful and reliable technique. It is a precious tool in presurgical evaluation or in the investigation of the mechanisms underlying epileptic activity in humans. Résumé Environ 20% des patients souffrant d'épilepsie ont des crises pharmaco-résistantes. La chirurgie de l'épilepsie peut supprimer les crises chez des patients bien sélectionnés. Un bilan approfondi combinant différentes techniques d'imagerie est nécessaire pour localiser les régions du cervau impliquées dans le réseau épileptique. L'enregistrement simultané de l'ElectroEncéphaloGraphie et de l'Imagerie par Résonance Magnétique fonctionnelle (EEG-IRMf) est une nouvelle technique qui montre les réseaux épileptiques à l'échelle du cerveau entier. Dans cette thèse, je présente plusieurs études EEG-IRMf qui évaluent l'importance clinique de cette technique et proposent de nouvelles stratégies d'analyse pour en améliorer la sensibilité et la spécificité. Je décris également les premiers enregistrements simultanés de l'EEG intracrânien et de l'IRM fonctionnelle chez l'humain. Ces études montrent que l'EEG-IRMf est devenue une technique non-invasive fiable avec une utilité clinique, précieuse dans l‘évaluation pré-chirurgicale de l'épilepsie et dans l'étude des mécanismes responsables de l'activité épileptique chez l'humain.
Local spectral density of an interacting one-dimensional Bose gas with an impurity
Creators: name: Petković, Aleksandra
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: A weakly interacting Bose gas with a single static impurity is studied in one dimension. The local spectral density is evaluated and an analytic expression valid for positive strengths of the impurity coupling to the bosons, at all distances and at all frequencies is obtained using the Bogoliubov-de Gennes approximation.
description: 14 pages, 4 figures
Understanding Dynamics of Nonlinear Representation Learning and Its Application
Creators: name: Kawaguchi, Kenji
name: Zhang, Linjun
name: Deng, Zhun
Publisher: name: arXiv
Year: 2021
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Optimization and Control (math.OC)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Representations of the world environment play a crucial role in artificial intelligence. It is often inefficient to conduct reasoning and inference directly in the space of raw sensory representations, such as pixel values of images. Representation learning allows us to automatically discover suitable representations from raw sensory data. For example, given raw sensory data, a deep neural network learns nonlinear representations at its hidden layers, which are subsequently used for classification (or regression) at its output layer. This happens implicitly during training through minimizing a supervised or unsupervised loss in common practical regimes of deep learning, unlike the neural tangent kernel (NTK) regime. In this paper, we study the dynamics of such implicit nonlinear representation learning, which is beyond the NTK regime. We identify a pair of a new assumption and a novel condition, called the common model structure assumption and the data-architecture alignment condition. Under the common model structure assumption, the data-architecture alignment condition is shown to be sufficient for the global convergence and necessary for the global optimality. Moreover, our theory explains how and when increasing the network size does and does not improve the training behaviors in the practical regime. Our results provide practical guidance for designing a model structure: e.g., the common model structure assumption can be used as a justification for using a particular model structure instead of others. We also derive a new training framework based on the theory. The proposed framework is empirically shown to maintain competitive (practical) test performances while providing global convergence guarantees for deep residual neural networks with convolutions, skip connections, and batch normalization with standard benchmark datasets, including CIFAR-10, CIFAR-100, and SVHN.
Personalidad, regulación emocional y estrategias de afrontamiento en pacientes con trastorno de interés/excitación sexual femenino (TIE)
Creators: name: Fernández Martín, Cristina
name: Pastells Pujol, Silvia
name: Tolosa Sola, Iris
name: Farré Martí, Josep M.
name: Molero Rodríguez, Francisca
name: Lasheras Pérez, Gràcia
Publisher: name: Psicosomàtica y Psiquiatría
Year: 2024

description: Psicosomàtica y Psiquiatría, Núm. 28 (2024): enero-febrero-marzo
Measurement of a helium tune-out frequency: an independent test of quantum electrodynamics
Creators: name: Henson, B. M.
name: Ross, J. A.
name: Thomas, K. F.
name: Kuhn, C. N.
name: Shin, D. K.
name: Hodgman, S. S.
name: Zhang, Yong-Hui
name: Tang, Li-Yan
name: Drake, G. W. F.
name: Bondy, A. T.
name: Truscott, A. G.
name: Baldwin, K. G. H.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: Despite quantum electrodynamics (QED) being one of the most stringently tested theories underpinning modern physics, recent precision atomic spectroscopy measurements have uncovered several small discrepancies between experiment and theory. One particularly powerful experimental observable that tests QED independently of traditional energy level measurements is the `tune-out' frequency, where the dynamic polarizability vanishes and the atom does not interact with applied laser light. In this work, we measure the `tune-out' frequency for the $2^{3\!}S_1$ state of helium between transitions to the $2^{3\!}P$ and $3^{3\!}P$ manifolds and compare it to new theoretical QED calculations. The experimentally determined value of $725\,736\,700\,$$(40_{\mathrm{stat}},260_{\mathrm{syst}})$ MHz is within ${\sim} 1.7σ$ of theory ($725\,736\,252(9)$ MHz), and importantly resolves both the QED contributions (${\sim} 30 σ$) and novel retardation (${\sim} 2 σ$) corrections.
description: Main text 6 pages, 4 figures, SI 21 pages 11 figures. Changed title from "Precision Measurement of the Helium $2^{3\!}S_1- 2^{3\!}P/3^{3\!}P$ Tune-Out Frequency as a Test of QED"
Flare forecasting: a beginners guide
Creators: name: Murray, Sophie
Publisher: name: figshare
Year: 2017
Subjects: subject: Space Science
subject: 20109 Space and Solar Physics
subject: FOS: Physical sciences
subject: Solar System, Solar Physics, Planets and Exoplanets

description: Presentation at Horizon 2020 FLARECAST project First User Workshop, 2017 January 12.
Additional file 2: of Activation of melanocortin receptor 4 with RO27-3225 attenuates neuroinflammation through AMPK/JNK/p38 MAPK pathway after intracerebral hemorrhage in mice
Creators: name: Chen, Shengpan
name: Zhao, Lianhua
name: Sherchan, Prativa
name: Ding, Yan
name: Yu, Jing
name: Nowrangi, Derek
name: Tang, Jiping
name: Xia, Ying
name: Zhang, John
Publisher: name: figshare
Year: 2018
Subjects: subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Table S1. Summary of experimental groups and mortality rate in the study. (DOCX 15Â kb)
Wide-band full-wave electromagnetic modal analysis of the coupling between dark-matter axions and photons in microwave resonators
Creators: name: Navarro, P.
name: Gimeno, Benito
name: Melcon, A. Alvarez
name: Cuendis, S. Arguedas
name: Cogollos, C.
name: Diaz-Morcillo, A.
name: Gallego, J. D.
name: Barcelo, J. M. Garcia
name: Golm, J.
name: Irastorza, I. G.
name: Guerrero, A. J. Lozano
name: Garay, C. Penya
Publisher: name: arXiv
Year: 2021
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The electromagnetic coupling axion-photon in a microwave cavity is revisited with the Boundary Integral - Resonant Mode Expansion (BI-RME) 3D technique. Such full-wave modal technique has been applied for the rigorous analysis of the excitation of a microwave cavity with an axion field. In this scenario, the electromagnetic field generated by the axion-photon coupling can be assumed to be driven by equivalent electrical charge and current densities. These densities have been inserted in the general BI-RME 3D equations, which express the RF electromagnetic field existing within a cavity as an integral involving the Dyadic Green functions of the cavity (under Coulomb gauge) as well as such densities. This method is able to take into account any arbitrary spatial and temporal variation of both magnitude and phase of the axion field. Next, we have obtained a simple network driven by the axion current source, which represents the coupling between the axion field and the resonant modes of the cavity. With this approach, it is possible to calculate the extracted and dissipated RF power as a function of frequency along a broad band and without Cauchy-Lorentz approximations, obtaining the spectrum of the electromagnetic field generated in the cavity, and dealing with modes relatively close to the axion resonant mode. Moreover, with this technique we have a complete knowledge of the signal extracted from the cavity, not only in magnitude but also in phase. This can be an interesting issue for future analysis where the axion phase is an important parameter.
description: 37 pages, 14 figures, 40 references
Prevention of Diabetic Foot Ulcers: From Biomechanics to Therapeutic Patient Education
Creators: name: Pataky, Zoltan
Publisher: name: Université de Genève
Year: 2012
Subjects: info:eu-repo/classification/ddc/613
Pied diabétique
Diabète
Education thérapeutique du patient
Prévention
Amputation

description: Diabetic foot disease is one of the most invalidating long-term complications of diabetes. Given the dramatically increasing prevalence of types 1 and 2 diabetes mellitus worldwide, the medical community must be prepared for the number of diabetic foot ulcers and lower extremity amputations that will follow this “epidemic” of diabetes. In addition to economic costs, the psychological and biosocial aspects of people suffering from diabetes and diabetic foot disease must be considered. Studies have indicated that the implementation of validated guidelines and international standards of diabetic foot care into clinical practice could reduce lower extremity amputation rates by up to 85%. However, in many countries, such a decrease in lower extremity amputation rates is more of an isolated example than a rule. Reduction of the plantar pressure is mandatory for the treatment and prevention of foot ulcers in patients with diabetes and peripheral neuropathy. The recurrence rate of ulcers is extremely high. After ulcer healing, the persisting high plantar pressure during walking causes repeated soft tissue breakdown at each step. In this population, the development of a new walking strategy could alter the plantar pressure distribution under the feet, thus improving patient outcomes and preventing amputation. We have developed and implemented a biofeedback-based technique delivered by an electronic insole. When combined with therapeutic patient education, this method may be a valuable tool for the treatment of foot ulcers and prevention of lower extremity amputations in high-risk patients with diabetes.
Whole Genome Sequencing Analysis of Typhoid and Non Typhoidal Salmonella Isolates: Revealing AMR and Virulence Profile
Creators: name: Mihret, Adane
name: Habte, Anteneh
Publisher: name: Zenodo
Year: 2024

description: Ethiopia has the second largest human population in Africa and the largest livestock population

on the continent. About 80% of Ethiopians are dependent on agriculture and have direct contact

with livestock or other domestic animals. Infection with antimicrobial resistant Salmonella in humans and animals is a global threat that has caught the public attention worldwide. A WHO report published in 2023 states that 9 million people get sick and 110,000 people die from typhoid fever every year. Although it is difficult to come up with numbers indicating the continental burden in Africa due to limited testing facilities and poor surveillance system the disease remains endemic in many African countries. Salmonella infection is attributed to risk factors such as poor water supply and sanitation, direct and indirect contact with animals and host factors such as malnutrition, HIV infection.

In Ethiopia there are reports of high burden of drug resistant salmonella species from poultry and agricultural products. Application of whole genome sequencing for surveillance enabled identification and characterization of the bacteria including phylogenetic analysis, AMR and virulence gene prediction. This will enable initiation of appropriate public heath responses and updating of treatment protocols.  This study, which is the first of its kind in the country is intended to apply one health approach and whole genome sequencing to understand the epidemiological distribution among human, animals and the environment and also identify the AMR and virulence genes of salmonella serovars in Ethiopia.
Supplemental table 1 from Immune responses in hibernating little brown myotis (Myotis lucifugus) with white-nose syndrome
Creators: name: TM Lilley
name: JM Prokkola
name: JS Johnson
name: EJ Rogers
name: S Gronsky
name: A Kurta
name: DM Reeder
name: KA Field
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Immunology
subject: FOS: Clinical medicine
subject: Health Care
subject: Diseases
subject: 111706 Epidemiology
subject: FOS: Health sciences

description: Table of alternative models for the post-hibernation titer and relative mRNA expression of cytokine genes including post-hibernation SMI and time to euthanasia as covariates. Type II sums of squares were obtained with function Anova from package car, and estimates and standard errors for the main effects with function lm in R. Effects that were not inluded in the final models are shown in parentheses. Significant effects (p<0.05) are shown in bold.
Additional file 8: of Comparative transcriptome analysis of hypothalamus-regulated feed intake induced by exogenous visfatin in chicks
Creators: name: Li, Zhuanjian
name: Liu, Xuelian
name: Zhang, Panpan
name: Han, Ruili
name: Sun, Guirong
name: Jiang, Ruirui
name: Wang, Yanbin
name: Liu, Xiaojun
name: Li, Wenya
name: Kang, Xiangtao
name: Tian, Yadong
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Plant Biology

description: Table S1. List of the genes and primers used for qRT-PCR validation. (DOCX 17Â kb)
On a kinetic opinion formation model for pre-election polling
Creators: name: Düring, Bertram
name: Wright, Oliver
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Physical sciences
subject: 35Q91, 35Q20, 91D10

description: Motivated by recent successes in model-based pre-election polling, we propose a kinetic model for opinion formation which includes voter demographics and socio-economic factors like age, sex, ethnicity, education level, income and other measurable factors like behaviour in previous elections or referenda as a key driver in the opinion formation dynamics. The model is based on Toscani's kinetic opinion formation model and the leader-follower model of Düring et al., and leads to a system of coupled Boltzmann-type equations and associated, approximate Fokker-Planck-type systems. Numerical examples using data from general elections in the United Kingdom show the effect different demographics have on the opinion formation process and the outcome of elections.
description: 18 pages, 9 figures
Drug targets-Ligand and voltage gated ion channels.pdf
Creators: name: Nilan Jacob
Publisher: name: figshare
Year: 2017
Subjects: Pharmacology

description: The elucidation of a drug target is one of the earliest and most important steps
in the drug discovery process. Ion channels encompassing both the ligand gated
and voltage gated types are the second most common drug targets after GProtein Coupled Receptors (GPCR). Ion channels are basically pore forming
membrane proteins specialized for conductance of ions as per the concentration
gradient. They are further broadly classified based on the energy (ATP)
dependence into active ion channels/pumps and passive ion channels. Gating is
the regulatory mechanism of these ion channels by which binding of a specific
molecule or alteration in membrane potential induces conformational change in
the channel architecture to result in ion flow or its inhibition. Thus, the study of
ligand and voltage gated ion channels becomes an important tool for drug
discovery especially during the initial stage of target identification. This review
aims to describe the ligand and voltage gated ion channels along with discussion
on its subfamilies, channel architecture and key pharmacological modulators.
MOESM1 of Nasopharyngeal brushing: a convenient and feasible sampling method for nucleic acid-based nasopharyngeal carcinoma research
Creators: name: Zhang, Pei-Fen
name: Zheng, Xiao-Hui
name: Li, Xi-Zhao
name: Tian, Tian
name: Zhang, Shao-Dan
name: Hu, Ye-Zhu
name: Jia, Wei-Hua
Publisher: name: figshare
Year: 2018
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 1: Table S1. Sequences of Epsteinâ Barr virus-encoded microRNAs.
ESM 2 from Immune responses in hibernating little brown myotis (Myotis lucifugus) with white-nose syndrome
Creators: name: TM Lilley
name: JM Prokkola
name: JS Johnson
name: EJ Rogers
name: S Gronsky
name: A Kurta
name: DM Reeder
name: KA Field
Publisher: name: The Royal Society
Year: 2017
Subjects: subject: Immunology
subject: FOS: Clinical medicine
subject: Health Care
subject: Diseases
subject: 111706 Epidemiology
subject: FOS: Health sciences

description: The sequences and amplifications efficiencies of primers used in the qPCR analysis.
Dynamical preparation of an atomic condensate in a Hofstadter band
Creators: name: Fu, Han
name: Glatz, Andreas
name: Setiawan, F.
name: Yao, Kai-Xuan
name: Zhang, Zhendong
name: Chin, Cheng
name: Levin, K.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: FOS: Physical sciences

description: The creation of a Hamiltonian in the quantum regime which has non-trivial topological features is a central goal of the cold-atom community, enabling widespread exploration of novel phases of quantum matter. A general scheme to synthesize such Hamiltonians is based on dynamical modulation of optical lattices which thereby generate vector potentials. At the same time the modulation can lead to heating and serious difficulties with equilibration. Here we show that these challenges can be overcome by demonstrating how a Hofstadter Bose-Einstein condensate (BEC) can be dynamically realized, using experimental protocols. From Gross-Pitaevskii simulations our study reveals a complex, multistage evolution; this includes a chaotic intermediate "heating" stage followed by a spontaneous reentrance to the BEC. The observed behavior is reminiscent of evolution in cosmological models.