cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Advanced Stationary Point Concentration Technique for Leakage Mitigation and Small Drone Detection with FMCW Radar
Creators: name: Park, Junhyeong
name: Park, Jun-Sung
name: Bae, Kyung-Bin
name: Park, Seong-Ook
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: As the threats of small drones have grown, developing radars to detect the small drones has become an important issue. In earlier studies, we proposed the stationary point concentration (SPC) technique for the small drone detection with frequency-modulated continuous-wave (FMCW) radar. The SPC technique is a new approach to mitigate the leakage that is an inherent problem in the FMCW radar. The SPC technique improves the signal-to-noise ratio of the small drones by reducing the noise floor and provides accurate distance and velocity information of the small drones. However, the SPC technique has shortcomings in realizing it. In this paper, we present the drawbacks of the SPC technique clearly and propose an advanced SPC (A-SPC) technique. The A-SPC technique can overcome the drawbacks of the SPC technique while taking all the good effects of the SPC technique. The experimental results verify the proposed A-SPC technique and show its robustness and usefulness.
description: This work has been submitted to the IEEE for possible publication
short summary from Long non-coding RNA-Polycomb intimate rendezvous
Creators: name: Cerase, Andrea
name: Tartaglia, Gian Gaetano
Publisher: name: The Royal Society
Year: 2020
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Developmental Biology
subject: 60408 Genomics

description: The interaction between Polycomb complexes (PRC1/2) and long non-coding RNA (lncRNA) such as the X inactive specific transcript Xist and the HOX transcript antisense RNA (HOTAIR), has been the subject of intense debate. While cross-linking, immuno-precipitation and super-resolution microscopy argue against direct interaction of Polycomb with some lncRNAs, there is increasing evidence supporting the ability of both PRC1 and PRC2 to functionally associate with RNA. Recent data indicate that these interactions are, in most cases spurious, but nonetheless crucial for a number of cellular activities. In this review, we suggest that while PRC1/2 recruitment by HOTAIR might be direct, in the case of Xist it might occur indirectly and, at least in part, through the process of liquid–liquid phase separation. We present recent models of lncRNA-mediated PRC1/2 recruitment to their targets and describe potential RNA-mediated roles in the three-dimensional organization of the nucleus.
MOESM15 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Physiology
subject: Evolutionary Biology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Additional file 15: Figure S7. Basic information about the transcriptomic data of flowers. A: expression levels of genes based on RNA-Seq data from the flowers. B: tissue-specific expression of genes in flowers at two opening stages. C: boxplot showing the expression levels of genes from flowers. The raw FPKM data was normalized to Log10. F1: balloon stage, F2: fully open stage.
Rainbow polygons for colored point sets in the plane
Creators: name: Flores-Peñaloza, David
name: Kano, Mikio
name: Martínez-Sandoval, Leonardo
name: Orden, David
name: Tejel, Javier
name: Tóth, Csaba D.
name: Urrutia, Jorge
name: Vogtenhuber, Birgit
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Geometry (cs.CG)
subject: Discrete Mathematics (cs.DM)
subject: Combinatorics (math.CO)
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Given a colored point set in the plane, a perfect rainbow polygon is a simple polygon that contains exactly one point of each color, either in its interior or on its boundary. Let $\operatorname{rb-index}(S)$ denote the smallest size of a perfect rainbow polygon for a colored point set $S$, and let $\operatorname{rb-index}(k)$ be the maximum of $\operatorname{rb-index}(S)$ over all $k$-colored point sets in general position; that is, every $k$-colored point set $S$ has a perfect rainbow polygon with at most $\operatorname{rb-index}(k)$ vertices. In this paper, we determine the values of $\operatorname{rb-index}(k)$ up to $k=7$, which is the first case where $\operatorname{rb-index}(k)\neq k$, and we prove that for $k\ge 5$, \[ \frac{40\lfloor (k-1)/2 \rfloor -8}{19} %Birgit: \leq\operatorname{rb-index}(k)\leq 10 \bigg\lfloor\frac{k}{7}\bigg\rfloor + 11. \] Furthermore, for a $k$-colored set of $n$ points in the plane in general position, a perfect rainbow polygon with at most $10 \lfloor\frac{k}{7}\rfloor + 11$ vertices can be computed in $O(n\log n)$ time.
description: 23 pages, 11 figures, to appear at Discrete Mathematics
Additional file 1 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 1. Primer sequence for accessing the occupancy of BRCA1 on the PDGFRβ locus.
title: Präpositionen in der deutschen Sprache = Предлоги в современном немецком языке
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2024

description: Das vorliegende Buch will einem von Ausländern, insbesondere von ausländischen Deutschlehrern, oft geäußerten Bedürfnis nachkommen. Da die deutschen Präpositionen Ausländern erfahrungsgemäß sehr hartnäckige Schwierigkeiten bereiten, soll mit diesem Buch versucht werden, Lehrern und Autodidakten ein Hilfsmittel für die Vermittlung bzw. Erlernung der Präpositionen in die Hand zu geben. Das Buch enthält eine linguistische Beschreibung der Semantik und Verwendung der Präpositionen sowie Hinweise zur Methodik der Vermittlung und Übung von Präpositionen und einen ausgedehnten Übungsteil, der für das Selbststudium gedacht ist, aber auch im Unterricht Verwendung finden kann. Das Buch beschränkt sich auf Präpositionen mit semantischer Funktion, d.h. nicht von Verben, Substantiven oder Adjektiven regierte, und hierbei vor allem auf Präpositionen mit lokaler, temporaler, kausaler und konditionaler Funktion. Als Anhang wird eine Übersicht über stehende Ausdruckseinheiten und idiomatische Wendungen mit Präpositionen (alphabetisch geordnet) gegeben. Der Lösungsschlüssel zu den Übungen befindet sich am Ende dieses Heftes. Das Lehrbuch ist in Übereinstimmung mit den Anforderungen der föderalen staatlichen Bildungsstandards für den Hochschulbereich erstellt. Das Lehrbuch richtet sich an Studierende, die in der erweiterten Fach- und Hochschulgruppe “Sprach- und Literaturwissenschaft” im Fach “Fremdsprache (Deutsch)” studieren.
Additional file 2 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 2 The increase of Pdgfrβ in p18-/-;Brca1+/- mammary tumors is associated with the activated Pdgf signaling as well as EMT and stem cell signatures. (A, B) p18-/-;Brca1+/- tumors expressing high level of Pdgfrβ (n = 9) and low level of Pdgfrβ (n = 2) were analyzed for enrichment of Pdgf pathway (A) and of top correlates made up of EMT and stem cell signatures (B). (C, D) Correlation analysis of Pdgfrβ with Zeb1 (C) and Twist (D) in p18-/-;Brca1+/- tumors.
title: The family of battery metals found in European seabed mineral deposits: The MINDeSEA perspective
Creators: name:  Gonzalez ,   Javier
name:  Medialdea ,   Teresa
name:  Schiellerup ,   Henrik
name:  Zananiri ,   Irene
name:  Ferreira ,   Pedro
name:  Somoza ,   Luis
name:  Monteys ,   Xavier
name:  Alcorn ,   Trevor
name:  Marino ,   Egidio
name:  Lobato ,   Ana
name:  Kuhn ,   Thomas
name:  Nyberg ,   Johan
name:  Magalhaes ,   Vitor
name:  Lunar ,   Rosario
name:  Malyuk ,   Boris
name:  Hein ,   James
name:  Cherkashov ,   Georgy
Publisher: name: Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
Year: 2021

description: Covering 15,000,000 km2, the pan-European seas represent a promising new frontier for the exploration of mineral resources. The GeoERA-MINDeSEA consortium, a cooperative network of 12 Geological Surveys and Marine Institutes, is facing this exploration challenge. 688 seabed mineral occurrences are described in the MINDeSEA database, GIS cartographies and reports, containing valuable information on geology, metallogeny, critical raw materials prospectivity and mineral potential. Five types of mineral deposits are investigated, including seafloor massive sulphides, ferromanganese crusts, phosphorites, polymetallic nodules and placers. Many of the deposits exhibit a polymetallic nature that include one or more battery metals such as cobalt, lithium, manganese, tellurium, nickel, rare earth elements, copper, and other strategic and critical metals. These deposits are being explored using cutting-edge technologies both onboard ship and at labs, as well as in seabed mineral occurrences under the jurisdiction of European coastal states, all of which may provide an alternative sustainable resource to land-based mineral deposits. Maps on the seafloor mineral occurrences and their metallogeny for energy-critical elements are being produced for the first time to support European climate actions and growth strategies. An enormous challenge in terms of research, technological innovation, environmental protection, spatial planning and social license is facing the European and international research and sustainable development plans. MINDeSEA will identify areas for sustainable development and information to support decision-making on management and Marine Spatial Planning in pan-European seas as part of its core actions. The dedicated website (https://geoeramindesea.wixsite.com/mindesea) and Social Media (https://twitter.com/MINDeSEA) provide more detailed information about the project MINDeSEA.
Subjective Quality Database and Objective Study of Compressed Point Clouds With 6DoF Head-Mounted Display
Creators: name: Wu, Xinju
name: Zhang, Yun
name: Fan, Chunling
name: Hou, Junhui
name: Kwong, Sam
Publisher: name: arXiv
Year: 2020
Subjects: subject: Image and Video Processing (eess.IV)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, we focus on subjective and objective Point Cloud Quality Assessment (PCQA) in an immersive environment and study the effect of geometry and texture attributes in compression distortion. Using a Head-Mounted Display (HMD) with six degrees of freedom, we establish a subjective PCQA database, named SIAT Point Cloud Quality Database (SIAT-PCQD). Our database consists of 340 distorted point clouds compressed by the MPEG point cloud encoder with the combination of 20 sequences and 17 pairs of geometry and texture quantization parameters. The impact of distorted geometry and texture attributes is further discussed in this paper. Then, we propose two projection-based objective quality evaluation methods, i.e., a weighted view projection based model and a patch projection based model. Our subjective database and findings can be used in point cloud processing, transmission, and coding, especially for virtual reality applications. The subjective dataset has been released in the public repository.
description: This work has been submitted to the IEEE for possible publication
title: Business English (Elementary level) = Деловой английский язык (начальный уровень)
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2024

description: Учебное пособие состоит из 20 уроков, включающих разделы по чтению, говорению, грамматике и письму, также содержит три теста для самоконтроля и расшифровку аудиоматериала. Все уроки включают лексический, грамматический и лингвострановедческий материал по данному курсу. Доступность, поэтапное нарастание трудностей, комплексное представление лексического и грамматического материала помогут в развитии и совершенствовании речевых умений и обеспечат коммуникативную адекватность в предлагаемых ситуациях общения. В учебном пособии представлены аутентичные тексты и задания, составленные в соответствии с современными методическими подходами на основе оригинальных материалов, содержащих необходимую лексику и грамматические задания для проверки и закрепления знаний студентов. Подготовлено в соответствии с требованиями Федерального государственного образовательного стандарта высшего образования. Учебное пособие предназначено для студентов, обучающихся по укрупненной группе специальностей и направлений подготовки высшего образования «Языкознание и литературоведение», изучающих дисциплину «Деловой иностранный язык».
title: Management English (Elementary level) = Деловой английский язык (начальный уровень)
Creators: name: ELS IPR BOOKS
Publisher: name: Профобразование, Ай Пи Ар Медиа
Year: 2024

description: В учебном пособии приведен лексический, грамматический и лингвострановедческий материал. Приведенный материал составлен в соответствии с современными методическими подходами на основе оригинальных материалов, содержащих необходимую лексику и грамматические задания. Даны уроки по чтению, говорению, грамматике, письму, тесты для самоконтроля и т.д. Подготовлено с учетом требований Федерального государственного образовательного стандарта среднего профессионального образования. Предназначено для студентов всех профессий и специальностей, учебными планами которых предусмотрено изучение дисциплин «Деловой английский язык», «Английский язык в профессиональной деятельности».
Analysis of self-equilibrated networks through cellular modeling
Creators: name: Aloui, Omar
name: Orden, David
name: Ali, Nizar Bel Hadj
name: Rhode-Barbarigos, Landolf
Publisher: name: arXiv
Year: 2020
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Computational Geometry (cs.CG)
subject: Combinatorics (math.CO)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences
subject: FOS: Mathematics

description: Network equilibrium models represent a versatile tool for the analysis of interconnected objects and their relationships. They have been widely employed in both science and engineering to study the behavior of complex systems under various conditions, including external perturbations and damage. In this paper, network equilibrium models are revisited through graph-theory laws and attributes with special focus on systems that can sustain equilibrium in the absence of external perturbations (self-equilibrium). A new approach for the analysis of self-equilibrated networks is proposed; they are modeled as a collection of cells, predefined elementary network units that have been mathematically shown to compose any self-equilibrated network. Consequently, the equilibrium state of complex self-equilibrated systems can be obtained through the study of individual cell equilibria and their interactions. A series of examples that highlight the flexibility of network equilibrium models are included in the paper. The examples attest how the proposed approach, which combines topological as well as geometrical considerations, can be used to decipher the state of complex systems.
description: 38 pages, 23 figures
Additional file 5 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 5. BRCA1 represses transcription of PDGFRβ and EMT-associated genes. SUM149 cells were transfected with pBabe-empty (Empty), pBabe-HA-BRCA1 (BRCA1-a), or pBabe-Myc-BRCA1 (BRCA1-b). Expression of genes indicated in the cells were determined by western blot (A) and qRT-PCR (B) 48 h after transfection.
Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction
Creators: name: Heid, Stefan
name: Wever, Marcel
name: Hüllermeier, Eyke
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computation and Language (cs.CL)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: I.2.7

description: Syntactic annotation of corpora in the form of part-of-speech (POS) tags is a key requirement for both linguistic research and subsequent automated natural language processing (NLP) tasks. This problem is commonly tackled using machine learning methods, i.e., by training a POS tagger on a sufficiently large corpus of labeled data. While the problem of POS tagging can essentially be considered as solved for modern languages, historical corpora turn out to be much more difficult, especially due to the lack of native speakers and sparsity of training data. Moreover, most texts have no sentences as we know them today, nor a common orthography. These irregularities render the task of automated POS tagging more difficult and error-prone. Under these circumstances, instead of forcing the POS tagger to predict and commit to a single tag, it should be enabled to express its uncertainty. In this paper, we consider POS tagging within the framework of set-valued prediction, which allows the POS tagger to express its uncertainty via predicting a set of candidate POS tags instead of guessing a single one. The goal is to guarantee a high confidence that the correct POS tag is included while keeping the number of candidates small. In our experimental study, we find that extending state-of-the-art POS taggers to set-valued prediction yields more precise and robust taggings, especially for unknown words, i.e., words not occurring in the training data.
description: 14 pages, 8 figures
Additional file 1 of Effectiveness of electroacupuncture for thin endometrium in infertile women: study protocol for a single-blind, randomized controlled trial
Creators: name: Li, Fangyuan
name: Lu, Hua
name: Wang, Xinxin
name: Zhang, Qi
name: Liu, Qianchen
name: Wang, Tong
Publisher: name: figshare
Year: 2021
Subjects: subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
Semantic Labeling of Large-Area Geographic Regions Using Multi-View and Multi-Date Satellite Images and Noisy OSM Training Labels
Creators: name: Comandur, Bharath
name: Kak, Avinash C.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Machine Learning (cs.LG)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We present a novel multi-view training framework and CNN architecture for combining information from multiple overlapping satellite images and noisy training labels derived from OpenStreetMap (OSM) to semantically label buildings and roads across large geographic regions (100 km$^2$). Our approach to multi-view semantic segmentation yields a 4-7% improvement in the per-class IoU scores compared to the traditional approaches that use the views independently of one another. A unique (and, perhaps, surprising) property of our system is that modifications that are added to the tail-end of the CNN for learning from the multi-view data can be discarded at the time of inference with a relatively small penalty in the overall performance. This implies that the benefits of training using multiple views are absorbed by all the layers of the network. Additionally, our approach only adds a small overhead in terms of the GPU-memory consumption even when training with as many as 32 views per scene. The system we present is end-to-end automated, which facilitates comparing the classifiers trained directly on true orthophotos vis-a-vis first training them on the off-nadir images and subsequently translating the predicted labels to geographical coordinates. With no human supervision, our IoU scores for the buildings and roads classes are 0.8 and 0.64 respectively which are better than state-of-the-art approaches that use OSM labels and that are not completely automated.
description: This work has been accepted by the IEEE for publication
Geometric and statistical techniques for projective mapping of chocolate chip cookies with a large number of consumers
Creators: name: Orden, David
name: Fernández-Fernández, Encarnación
name: Tejedor-Romero, Marino
name: Martínez-Moraian, Alejandra
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applications (stat.AP)
subject: Computational Geometry (cs.CG)
subject: FOS: Computer and information sciences

description: The so-called rapid sensory methods have proved to be useful for the sensory study of foods by different types of panels, from trained assessors to unexperienced consumers. Data from these methods have been traditionally analyzed using statistical techniques, with some recent works proposing the use of geometric techniques and graph theory. The present work aims to deepen this line of research introducing a new method, mixing tools from statistics and graph theory, for the analysis of data from Projective Mapping. In addition, a large number of n=349 unexperienced consumers is considered for the first time in Projective Mapping, evaluating nine commercial chocolate chips cookies which include a blind duplicate of a multinational best-selling brand and seven private labels. The data obtained are processed using the standard statistical technique Multiple Factor Analysis (MFA), the recently appeared geometric method SensoGraph using Gabriel clustering, and the novel variant introduced here which is based on the pairwise distances between samples. All methods provide the same groups of samples, with the blind duplicates appearing close together. Finally, the stability of the results is studied using bootstrapping and the RV and Mantel coefficients. The results suggest that, even for unexperienced consumers, highly stable results can be achieved for MFA and SensoGraph when considering a large enough number of assessors, around 200 for the consensus map of MFA or the global similarity matrix of SensoGraph.
description: 21 pages, 16 figures, 1 table
An Expedient Approach to FDTD-based Modeling of Finite Periodic Structures
Creators: name: Kogon, Aaron J.
name: Sarris, Costas D.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Computational Engineering, Finance, and Science (cs.CE)
subject: Optics (physics.optics)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: This paper proposes an efficient FDTD technique for determining electromagnetic fields interacting with a finite-sized 2D and 3D periodic structures. The technique combines periodic boundary conditions---modelling fields away from the edges of the structure---with independent simulations of fields near the edges of the structure. It is shown that this algorithm efficiently determines the size of a periodic structure necessary for fields to converge to the infinitely-periodic case. Numerical validations of the technique illustrate the savings concomitant with the algorithm.
description: 12 pages, 16 figures, 6 tables. This work has been submitted to the IEEE for possible publication
Additional file 3 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 3 Brca1-deficient mouse mammary tumors express high level of Pdgfrβ and are metastatic. (A) Representative immunostaining of a p16-/-;Brca1MGKO mammary tumor and its lung metastasis (M) with antibodies against Pdgfrβ (Green) and Ck14 (Red). Note the widely expressed Pdgfrβ in primary and metastasized tumors that are Ck14 positive. (B) Representative immunostaining of an additional p18-/-;Brca1MGKO mammary tumor.
title: The EXCITE-network: providing access to leading-edge electron and X-ray microscopy facilities for geo-materials research
Creators: name:  Plümper ,   Oliver
name:  Cnudde ,   Veerl
name:  ter Maat ,   Geertje
name:  Walter ,   Sylvia
name:  Wessels ,   Richard
name:  network ,   the EXCITE
Publisher: name: Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
Year: 2021

description: Understanding earth materials is critical to creating a sustainable, carbon-neutral society due to their involvement in many vital processes. Earth materials control the feasibility of subsurface energy storage, geothermal energy extraction, and are a source of critical elements. However, perturbations to geological systems can also result in hazards, such as human-induced earthquakes. If we want to tackle current, pressing scientific questions related to sustainable development for a circular economy, there is an urgent need to make multi-scale, multi-dimensional characterisations of earth materials available to a broad spectrum of earth-science disciplines. In addition to the society relevant topics, the properties of earth materials determine how the Earth works on the most fundamental level. To overcome this challenge, 15 European electron and X-ray microscopy facilities join forces to establish EXCITE (Electron and X-ray microscopy community for structural and chemical imaging techniques for earth materials; www.excite-network.com). EXCITE enables access to high-end microscopy facilities and to join the knowledge and experience from the different institutions. EXCITE develops community-driven technological imaging advancements that strengthen and extend the current implementation of leading-edge microscopy for earth-materials research. EXCITE integrates joint research programmes with networking, training, and transnational access activities, to enable both academia and industry to answer critical questions in earth-materials science and technology. As such, EXCITE builds a community of highly qualified earth scientists, develops correlative imaging technologies and provides access to world-class facilities to new and non-expert users that are often hindered from engaging in problem-solving microscopy.
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar
Creators: name: Kumari, Preeti
name: Myers, Nitin Jonathan
name: Heath, Robert W.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: Information Theory (cs.IT)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: Millimeter-wave (mmWave) joint communication-radar (JCR) will enable high data rate communication and high-resolution radar sensing for applications such as autonomous driving. Prior JCR systems that are based on the mmWave communications hardware, however, suffer from a limited angular field-of-view and low estimation accuracy for radars due to the employed directional communication beam. In this paper, we propose an adaptive and fast combined waveform-beamforming design for the mmWave automotive JCR with a phased-array architecture that permits a trade-off between communication and radar performances. To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs a few circulant shifts of the transmit beamformer and apply two-dimensional partial Fourier compressed sensing technique. We optimize these circulant shifts to achieve minimum coherence in compressed sensing. We evaluate the JCR performance trade-offs using a normalized mean square error (MSE) metric for radar estimation and a distortion MSE metric for data communication, which is analogous to the distortion metric in the rate distortion theory. Additionally, we develop a MSE-based weighted average optimization problem for the adaptive JCR combined waveform-beamforming design. Numerical results demonstrate that our proposed JCR design enables the estimation of short- and medium-range radar channels in the Doppler-angle domain with a low normalized MSE, at the expense of a small degradation in the communication distortion MSE.
description: Submitted to the IEEE Journal on Selected Topics in Signal Processing
Additional file 4 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 4 Loss of Brca1 activates Pdgfrβ-Pkcα signaling and EMT in mammary tumors. Mammary tumors spontaneously developed in p18-/- and p18-/-;Brca1MGKO mice were analyzed by western blot.
Efficiency-optimized design of PCB-integrated magnetorquers for CubeSats
Creators: name: Sorensen, Nicholas J.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Systems and Control (eess.SY)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: CubeSats are miniature satellites used to carry experimental payloads into orbit, where it is often critical to precisely control their attitude. One way to do this is through the use of magnetorquers, which can be integrated into PCBs. This technique saves considerable space and capital when compared with more common torque-rod magnetorquer systems. Here we derive a method of analyzing different PCB-integrated magnetorquer geometries, parametrizing them such that the magnetic moment and efficiency are optimized. Furthermore, by modulating the trace width, the trace number, and other electrical characteristics of the magnetorquer coil, this paper optimizes the generated magnetic moment. Both constant voltage and constant current sources are analyzed as inputs. These optimizations are then simulated in COMSOL for multiple geometries, and it is found that there exists an optimal geometry, given a specified power dissipation. Simulations verify the general trend and maxima of these derivations, barring small, consistent re-scaling in the magnitude of the coil resistance. It is also found that these PCB-integrated magnetorquers provide a sufficient alternative to commercial coil magnetorquers - particularly in volume-restricted configurations. This study extends such analysis to larger CubeSat configurations, and finds that these larger implementations increase magnetorquer efficiency. Optimizations for common PCB-implementable geometries on small satellites are tabulated in the Appendix.
description: 10 pages, 8 figures. This work has been accepted by IEEE ITAES and is available there for preprint
Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity
Creators: name: Cai, Xuesong
name: Izydorczyk, Tomasz
name: Rodríguez-Piñeiro, José
name: Kovács, István Z.
name: Wigard, Jeroen
name: Tavares, Fernando M. L.
name: Mogensen, Preben E.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Cellular-connected unmanned aerial vehicles (UAVs) have recently attracted a surge of interest in both academia and industry. Understanding the air-to-ground (A2G) propagation channels is essential to enable reliable and/or high-throughput communications for UAVs and protect the ground user equipments (UEs). In this contribution, a recently conducted measurement campaign for the A2G channels is introduced. A uniform circular array (UCA) with 16 antenna elements was employed to collect the downlink signals of two different Long Term Evolution (LTE) networks, at the heights of 0-40m in three different, namely rural, urban and industrial scenarios. The channel impulse responses (CIRs) have been extracted from the received data, and the spatial/angular parameters of the multipath components in individual channels were estimated according to a high-resolution-parameter estimation (HRPE) principle. Based on the HRPE results, clusters of multipath components were further identified. Finally, comprehensive spatial channel characteristics were investigated in the composite and cluster levels at different heights in the three scenarios.
description: 17pages. This work has been accepted by IEEE JSAC
Additional file 6 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 6 Pharmaceutical inhibition of PDGFRβ or PKCα activity targets BRCA1 deficient human breast cancer cells. (A, B) HCC1937 (A) and T47D (B) cells treated with DMSO, PDGFR Inh III at 20 nM, or Ro-31-8220 at 35 nM for 24 h were analyzed by western blot. Due to the extremely low level of PDGFRβ and PKCα in T47D cells in comparison with that in HCC1937 cells (shown in Fig. 7b), longer exposure bands for T47D cells were shown in (B). N.S., non-specific band. (C) HCC1937 and T47D cells were treated with DMSO, PDGFR Inh III, or Ro-31-8220 at the indicated concentrations for 24 h, and the number of viable cells was determined. Data are represented as mean ± SD of triplicates. *p < 0.05 between DMSO and drug treated groups by student t test. **p < 0.01 between DMSO and drug treated groups.
Three-halves variation of geodesics in the directed landscape
Creators: name: Dauvergne, Duncan
name: Sarkar, Sourav
name: Virág, Bálint
Publisher: name: arXiv
Year: 2020
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 82B23, 82C22, 60H15

description: We show that geodesics in the directed landscape have $3/2$-variation and that weight functions along the geodesics have cubic variation.
 We show that the geodesic and its landscape environment around an interior point has a small-scale limit. This limit is given in terms of the directed landscape with Brownian-Bessel boundary conditions. The environments around different interior points are asymptotically independent.
 We give tail bounds with optimal exponents for geodesic and weight function increments.
 As an application of our results, we show that geodesics are not Hölder-$2/3$ and that weight functions are not Hölder-$1/3$, although these objects are known to be Hölder with all lower exponents.
description: 41 pages, 4 figures. Updated with the journal version of the paper
Radiation tolerance of online trigger system for COMET Phase-I
Creators: name: Dekkers, Sam
name: Nakazawa, Yu
name: Fujii, Yuki
name: Yoshida, Hisataka
name: Wong, Ting Sam
name: Ueno, Kazuki
name: Nash, Jordan
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The COMET experiment aims to search for the neutrinoless muon to electron transition process with new sensitivity levels. The online trigger system is an integral part of achieving the sensitivity levels required and will be subject to an expected neutron fluence of up to $10^{12}$ $n \cdot \mathrm{cm}^{-2}\;$ within regions inside the detector solenoid. Consequently a significant number of soft errors in the logic of the onboard field programmable gate arrays (FPGA) can occur, requiring error correction for single event upsets and firmware reprogramming schemes for unrecoverable soft errors. We studied the radiation tolerance of the COMET Phase-I front-end trigger system, called COTTRI, subject to neutron fluence on order $10^{12}$ $n \cdot \mathrm{cm}^{-2}\;$ with multiple error correcting codes and automatic firmware reconfiguration. The regions measured were the configuration RAM, block RAM and also in a multi-gigabit transfer link using copper cables that will be used for communication between different trigger boards during Phase-I. The resulting cross sections observed suggest the most significant impact to the experiment will come from unrecoverable soft errors in configuration RAM, with dead time expected to be $(4.2 \pm 1.3)\%$. The effect of multi-bit errors in block RAM was found to be almost negligible in COMET Phase-I. In addition, multiple solutions have already been proposed in order to suppress these errors further. Soft errors observed in the multi-gigabit transfer links were measured to be of two orders of magnitude less impact compared to the unrecoverable errors in configuration RAM. We concluded that the COTTRI system meets the trigger requirement in COMET Phase-I.
description: IEEE Real Time 2020 Conference, 8 pages, 7 figures. Update includes typo fixes along with more details and an improved conservative estimation of dead time. This work has been submitted to the IEEE for possible publication
Archiver System Management for Belle II Detector Operation
Creators: name: Kim, Y. -K.
name: Cho, S. -J.
name: Park, S. -H.
name: Nakao, M.
name: Konno, T.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: Systems and Control (eess.SY)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: The Belle II experiment is a high-energy physics experiment at the SuperKEKB electron-positron collider. Using Belle II data, high precision measurement of rare decays and CP-violation in heavy quarks and leptons can be performed to probe New Physics. In this paper, we present the archiver system used to store the monitoring data of the Belle II detector and discuss in particular how we maintain the system that archives the monitoring process variables of the subdetectors. We currently save about 26 thousand variables including the temperature of various subdetectors components, status of water leak sensors, high voltage power supply status, data acquisition status, and luminosity information of the colliding beams. For stable data taking, it is essential to collect and archive these variables. We ensure the availability and consistency of all the variables from the subdetector and other systems, as well as the status of the archiver itself are consistent and regularly updated. To cope with a possible hardware failure, we prepared a backup archiver that is synchronized with the main archiver.
description: This work has been submitted to the IEEE for possible publication
title: Rock-hosted life through time - Integrating biosignatures of ancient and modern hydrothermal systems
Creators: name:  Schubotz ,   Florence
Publisher: name: Deutsche Geologische Gesellschaft - Geologische Vereinigung e.V. (DGGV)
Year: 2021

description: Recent advances in analytical tools including more sensitive detection techniques have led to the discovery of microbial biosignatures in ultra-low biomass samples such as the oceanic lithosphere. Here, energy fluxes are low and microbial life has adapted to the slow cycling of sparsely available food and nutrient sources along cracks and fissures and the access to Earths chemical energy through water-rock interactions. Nevertheless, our understanding of the habitability of Earths lithosphere and potential connections to the surface world are still in its infancy. Rock-hosted microbes produce unique biosignatures such as diether and tetraether lipids produced by both bacteria and archaea. These lipid biomarkers can be used to trace chemo(litho)trophic life in extant, but also in past ecosystems due to their exceptional preservation as chemical fossils in mineral precipitates. Here, we present lipid data from a diverse set of past and present lithospheric habitats, ranging from the lower ocean crust to active and inactive hydrothermal vents and subsurface mantle rocks to terrestrial ophiolites in order to explore the diversity and abundance of microbes found in these systems. Furthermore, we will discuss the approaches we currently have in place to elucidate microbial metabolisms, microbe-mineral interactions and their potential roles in global geochemical cycles.
Additional file 7 of PDGFRβ is an essential therapeutic target for BRCA1-deficient mammary tumors
Creators: name: Bai, Feng
name: Liu, Shiqin
name: Liu, Xiong
name: Hollern, Daniel P.
name: Scott, Alexandria
name: Wang, Chuying
name: Zhang, Lihan
name: Fan, Cheng
name: Fu, Li
name: Perou, Charles M.
name: Zhu, Wei-Guo
name: Pei, Xin-Hai
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Science Policy
subject: Cancer
subject: Mental Health
subject: Plant Biology

description: Additional file 7. Expression of BRCA1 is inversely related with that of PDGFRβ and PKCα in human breast cancers. (A) Representative immunostaining analysis for serial human breast cancer sections. Antibodies used were indicated. (B) Immunostaining results for individual tumor in (A). +/−, < 2%; +, 2–10%; ++, 10–40%; +++, 40–70%; ++++, > 70%.
Deep Learning for Joint Channel Estimation and Feedback in Massive MIMO Systems
Creators: name: Guo, Jiajia
name: Chen, Tong
name: Jin, Shi
name: Li, Geoffrey Ye
name: Wang, Xin
name: Hou, Xiaolin
Publisher: name: arXiv
Year: 2020
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: The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division Duplex (FDD) mode can be fully exploited when the downlink Channel State Information (CSI) is available at base stations. However, the accurate CSI is difficult to obtain due to the large amount of feedback overhead caused by massive antennas. In this paper, we propose a deep learning based joint channel estimation and feedback framework, which comprehensively realizes the estimation, compression, and reconstruction of downlink channels in FDD massive MIMO systems. Two networks are constructed to perform estimation and feedback explicitly and implicitly. The explicit network adopts a multi-Signal-to-Noise-Ratios (SNRs) technique to obtain a single trained channel estimation subnet that works well with different SNRs and employs a deep residual network to reconstruct the channels, while the implicit network directly compresses pilots and sends them back to reduce network parameters. Quantization module is also designed to generate data-bearing bitstreams. Simulation results show that the two proposed networks exhibit excellent performance of reconstruction and are robust to different environments and quantization errors.
description: 16 pages, This work has been accepted by Digital Communications and Networks
Determination of fipronil and its metabolites in chicken egg, muscle and cake by a modified QuEChERS method coupled with LC-MS/MS
Creators: name: Guo, Qiaozhen
name: Zhao, Shan
name: Zhang, Jing
name: Qi, Kailun
name: Du, Zhenxia
name: Shao, Bing
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biochemistry
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: An easy-to-use method for determining the levels of fipronil and its metabolites (fipronil-desulfinyl, fipronil-sulfone and fipronil-sulfide) in chicken egg, muscle and cake was developed and validated using a modified quick, easy, cheap, effective, rugged and safe (QuEChERS) approach coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis. The samples were extracted using acetonitrile, salted out with sodium chloride at −20°C, and then purified by combined PSA and C18 phases and anhydrous magnesium sulphate. The recoveries were 80.4–119% with relative standard deviations (RSDs) < 10% for the different matrixes. The validated method was used to analyse the target compounds in 214 real samples collected in Beijing. The metabolite fipronil-sulfone was detected in most of the samples and was identified as the main residue in the egg and cake. The method was validated using a proficiency test for fipronil in products of animal origin published by Wageningen University & Research in 2017.
Additional file 2 of An improved and efficient method of Agrobacterium syringe infiltration for transient transformation and its application in the elucidation of gene function in poplar
Creators: name: Zheng, Lin
name: Yang, Jixiu
name: Chen, Yajuan
name: Ding, Liping
name: Wei, Jianhua
name: Wang, Hongzhi
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Plant Biology

description: Additional file 2 Table S1 Primer list for vector construct.