cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Hall viscosity in quantum systems with discrete symmetry: point group and lattice anisotropy
Creators: name: Rao, Pranav
name: Bradlyn, Barry
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: Inspired by recent experiments on graphene, we examine the non-dissipative viscoelastic response of anisotropic two-dimensional quantum systems. We pay particular attention to electron fluids with point group symmetries, and those with discrete translational symmetry. We start by extending the Kubo formalism for viscosity to systems with internal degrees of freedom and discrete translational symmetry, highlighting the importance of properly considering the role of internal angular momentum. We analyze the Hall components of the viscoelastic response tensor in systems with discrete point group symmetry, focusing on the hydrodynamic implications of the resulting forces. We show that though there are generally six Hall viscosities, there are only three independent contributions to the viscous force density in the bulk. To compute these coefficients, we develop a framework to consistently write down the long-wavelength stress tensor and viscosity for multi-component lattice systems. We apply our formalism to lattice and continuum models, including a lattice Chern insulator and anisotropic superfluid.
description: v2. Accepted version. Now 32 pages, 6 figures. Added sections discussing the viscosity-conductivity relation, external magnetic fields, and experimental implications. Expanded discussion of independent dissipative and nondissipative viscous forces. v1. 26 pages plus references, 6 figures
IBAC: An Intelligent Dynamic Bandwidth Channel Access Avoiding Outside Warning Range Problem
Creators: name: Karmakar, Raja
name: Kaddoum, Georges
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: IEEE 802.11ax uses the concept of primary and secondary channels, leading to the Dynamic Bandwidth Channel Access (DBCA) mechanism. By applying DBCA, a wireless station can select a wider channel bandwidth, such as 40/80/160 MHz, by applying the channel bonding feature. However, during channel bonding, inappropriate bandwidth selection can cause collisions. Therefore, to avoid collisions, a well-developed media access control (MAC) protocol is crucial to effectively utilize the channel bonding mechanism. In this paper, we address a collision scenario, called Outside Warning Range Problem (OWRP), that may occur during DBCA when a wireless station interferes with another wireless station after channel bonding is performed. Therefore, we propose a MAC layer mechanism, Intelligent Bonding Avoiding Collision (IBAC), that adapts the channel bonding level in DBCA in order to avoid the OWRP. We first design a theoretical model based on Markov chains for DBCA while avoiding the OWRP. Based on this model, we design a Thompson sampling based Bayesian approach to select the best possible channel bonding level intelligently. We analyze the performance of the IBAC through simulations where it is observed that, comparing to other competing mechanisms, the proposed approach can enhance the network performance significantly while avoiding the OWRP.
Representing and Constructing. Psychometrics from the perspectives of measurement theory and concept formation.
Creators: name: Vessonen, Elina Sini Maria
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Psychometrics
Philosophy of Science
Philosophy of Social Sciences
Representational Theory of Measurement
Measurement
Concept formation
Concepts

description: Social scientific measurement is much desired and much criticized. In this dissertation I evaluate one of the main approaches to social scientific measurement that has nevertheless been virtually ignored by philosophers – the psychometric approach. Psychometric measures are typically used to measure unobservable attributes such as intelligence and personality. They typically take the form of questionnaires or tests and are validated by statistical tests of properties such as reliability and model-fit. My thesis is two-fold. In the first, more critical part, I argue that psychometric instruments normally fail to fulfil plausible criteria for adequate measurement. To make this argument, I define and defend a conception of quantitative representation necessary for measurement. My definition is grounded in the Representational Theory of Measurement but avoids the main critiques this theory has faced. I then show that the typical psychometric process of measure validation fails to produce evidence of such quantitative representation. The upshot is that although a quantitative interpretation of psychometric data is common, it is largely unwarranted. In the second part, I argue that psychometric instruments are nonetheless apt for various other purposes. This argument hinges on a new outlook on how concepts should be formed for psychometric purposes. Philosophers have traditionally thought that concepts should cohere with intuitions and/or pick out so-called natural kinds, while many psychometricians argue that concepts should pick out real as opposed to constructed attributes. I argue that, when it comes to social scientific measurement, it is much more important to focus on the usefulness of the concept, where usefulness can take on different meanings in different contexts. Building on the defended outlook on concept formation, I show what useful functions psychometric instruments can serve even when they fail at quantitative representation.
description: I thank the following institutions for funding my PhD research: Arts and Humanities Research Council, the British Society for the Philosophy of Science, Cambridge Trust and Newnham College.
Accelerating quantum optics experiments with statistical learning
Creators: name: Cortes, Cristian L.
name: Adhikari, Sushovit
name: Ma, Xuedan
name: Gray, Stephen K.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: Applied Physics (physics.app-ph)
subject: Atomic Physics (physics.atom-ph)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Quantum optics experiments, involving the measurement of low-probability photon events, are known to be extremely time-consuming. We present a new methodology for accelerating such experiments using physically-motivated ansatzes together with simple statistical learning techniques such as Bayesian maximum a posteriori estimation based on few-shot data. We show that it is possible to reconstruct time-dependent data using a small number of detected photons, allowing for fast estimates in under a minute and providing a one-to-two order of magnitude speed up in data acquisition time. We test our approach using real experimental data to retrieve the second order intensity correlation function, $G^{(2)}(τ)$, as a function of time delay $τ$ between detector counts, for thermal light as well as anti-bunched light emitted by a quantum dot driven by periodic laser pulses. The proposed methodology has a wide range of applicability and has the potential to impact the scientific discovery process across a multitude of domains.
description: 5 pages, 3 figures
Design, Synthesis, Molecular Docking, Density Functional Theory and Antimicrobial Studies of Some Novel Benzoxazole Derivatives as Structural Bioisosteres of Nucleotides
Creators: name: Erol, Meryem
name: Celik, Ismail
name: Ozlem Temiz-Arpaci
name: Kaynak-Onurdag, Fatma
name: Okten, Suzan
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: A series of some novel 2-(p-tert-butylphenyl)-5-(3-substituted-propionamido)benzoxazole derivatives have been designed, synthesized, evaluated to antimicrobial activity, performed molecular docking studies against Penicillin Binding Protein 4 (PBP4) and active and allosteric site of PBP2a, were calculated some theoretical quantum parameters and absorption, distribution, metabolism, and excretion (ADME) descriptor. B9 acted at Minimum Inhibitory Concentration (MIC) =8 µg/ml against S. aureus, E. faecalis and their drug-resistant isolates and also formed with GLU145 (1.74Å) and ILE144 (1.89Å) two hydrogen bond at allosteric site of PBP2a with Glide emodel score: -42.168. ΔE of compound B9 had moderate value of all compounds with 0.14742.
Eikan shiryaku, 5
瀛環志略 五
Creators: name: Inoue, Shunyō.
Publisher: name: Tokushima : Konishi Kichibei and Miyajimaya Izaemon
Year: 2021

description: Roads, towns and provinces indicated. Chinese title: Ying huan zhi lue, by Xu Ji Yu (Chinese) published in 1849; 43 maps, based on western cartography.
Theory of the phase transition in random unitary circuits with measurements
Creators: name: Bao, Yimu
name: Choi, Soonwon
name: Altman, Ehud
Publisher: name: arXiv
Year: 2019
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: High Energy Physics - Theory (hep-th)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a theory of the entanglement transition tuned by measurement strength in qudit chains evolved by random unitary circuits and subject to either weak or random projective measurements. The transition can be understood as a nonanalytic change in the amount of information extracted by the measurements about the initial state of the system, quantified by the Fisher information. To compute the von~Neumann entanglement entropy $S$ and the Fisher information $\mathcal{F}$, we apply a replica method based on a sequence of quantities $\tilde{S}^{(n)}$ and $\mathcal{F}^{(n)}$ that depend on the $n$-th moments of density matrices and reduce to $S$ and $\mathcal{F}$ in the limit $n\to 1$. These quantities with $n\ge 2$ are mapped to free energies of a classical spin model with $n!$ internal states in two dimensions with specific boundary conditions. In particular, $\tilde{S}^{(n)}$ is the excess free energy of a domain wall terminating on the top boundary, and $\mathcal{F}^{(n)}$ is related to the magnetization on the bottom boundary. Phase transitions occur as the spin models undergo ordering transitions in the bulk. Taking the limit of large local Hilbert space dimension $q$ followed by the replica limit $n\to 1$, we obtain the critical measurement probability $p_c=1/2$ and identify the transition as a bond percolation in the 2D square lattice in this limit. Finally, we show there is no phase transition if the measurements are allowed in an arbitrary nonlocal basis, thereby highlighting the relation between the phase transition and information scrambling. We establish an explicit connection between the entanglement phase transition and the purification dynamics of a mixed state evolution and discuss implications of our results to experimental observations of the transition and simulability of quantum dynamics.
description: 29 pages, 14 figures, published version, figure 10 corrected, extended discussion, references updated
Self-Assembly of Surface-modified Clays for Functional Biomimetic Materials
Creators: name: Xu, Peicheng
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: self-assembly
liquid crystal
nanocomposite

description: Synthetic Laponite-clay particles with a platelet-like shape display strong gelation when dispersed in aqueous solutions because of their positively charged rims and negatively charged flat surfaces. In this thesis, my aim was to modify the surfaces of these clay particles such that we can both access their liquid crystalline (LC) discotic phase and further build transparent and mechanically resilient coatings with a 3D “brick-and-mortar” structure that is similar to that observed in natural mother of pearl (nacre). I first introduce a simple strategy that successfully suppresses Laponite’s ageing phenomenon and enables the system’s isotropic-to-LC phase transition. By grafting Laponite particle surfaces with comb-like polymers, poly (L-lysine)-g-poly (ethylene glycol) (PLL-PEG), I was able to screen negative surface charges and ensure steric stabilisation. Besides using long-chain polymers, I also coated the positively charged Laponite rims with small, barrel-shaped molecules cucurbit[7]uril (CB[7]). By carefully tuning the ratio between CB[7] and Laponite, the system experienced a macroscopic phase separation into a Laponite-poor suspension and a birefringent LC gel. Inspired by the hierarchical structure of nacre, here I also demonstrate a simple approach to fabricate polymer-clay hybrid films via a water-evaporation process. In this third method, Laponite platelets were bridged by natural abundant polymers (carboxymethyl cellulose) through hydrogen bonding. This hybrid material possesses high transparency, flexibility and an outstanding fire-retardant property. After Ca2+ ion-coordination of these cellulose-Laponite composite films, the interface between the polymers and clays was further strengthened, leading to enhanced mechanical properties along with improved thermal- and water-resistance. I also present that using Dextran as a depletant, sterically stabilised Laponite can access its liquid crystal phase under low clay concentration. Finally, I show that Laponite can be coated with various polymers (PEO, chitosan, sodium alginate) for the purpose of obtaining LC gels and hybrid films. I believe that our findings on surface-modification of clay particles can open new routes to large-scale and inexpensive production of bio-inspired functional materials.
How to Promote the Rural Area of Shandong Province to Absorb Surplus Labor by Itself?
Creators: name: Dai, Qujing
name: Dai, Qujing
Publisher: name: Unknown
Year: 2014
Subjects: subject: Agribusiness
subject: Rural surplus labor
subject: Surplus labor
subject: Shandong Province

description: This paper firstly highlights the importance of solving the problem of rural surplus labor force, and then shows the necessity and significance of the rural areas to absorb rural surplus labor on their own. Meanwhile, the paper introduces the situation of rural surplus labor in Shandong Province. At last, it proposes the solutions to promote the rural area to absorb the surplus labor by itself.
Coxischyrocerus Just, 2009, gen. nov.
Creators: name: Just, Jean
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Malacostraca
Amphipoda
Ischyroceridae
Coxischyrocerus

description: Coxischyrocerus gen. nov.
 Type species. Coxischyrocerus rhombocoxus sp. nov.
 Etymology. The name of the genus refers to the enlarged coxa on male gnathopod 2.
 Diagnosis. As Ischyrocerus (exemplified by the type species I. anguipes), but with gnathopod 2 coxa enlarged compared to 1 and 3; gnathopod 2 ischium with large rounded setose anterior lobe; merus and carpus strongly compressed, shorter than deep; propodus elongate, posterior margin straight, distally with two closeset projections. Pereopod 5 basis with posterodistal lobe and posterior margin concave.
 Included species. Coxischyrocerus inexpectatus (Ruffo, 1959), comb. nov.; C. rhombocoxus sp. nov.
description: Published as part of Just, Jean, 2009, Ischyroceridae *, pp. 463-486 in Zootaxa 2260 (1) on page 464, DOI: 10.11646/zootaxa.2260.1.27, http://zenodo.org/record/10093465
Carbon nitride for solar H2 production coupled to organic chemical transformations
Creators: name: Kasap, Hatice
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: Artifical photosynthesis
CNx
Water splitting
H2
Organic transformation
Biomass photoreforming
Photocatalysis

description: Artificial photosynthesis utilises solar-light for clean fuel H2 production and is emerging as a potential solution for renewable energy generation. Photocatalytic systems that combine a light harvester and catalysts in one-pot reactor are promising strategies towards this direction. Yet, most of the reported systems function by consuming excess amount of expensive sacrificial reagents, preventing commercial development. In this thesis, carbon nitrides (CNx) have been selected as non-toxic, stable and low-cost photocatalysts. CNx are first introduced as efficient light harvesters, to couple alcohol oxidation with proton reduction, in the presence of a Ni-based molecular catalyst. This system operated in a single compartment while the oxidation and reduction products were collected in the solution and gaseous phases, respectively, demonstrating a closed redox system. In the presence of an organic substrate and absence of a proton reduction catalyst, photoexcited CNx was found to accumulate long-lived “trapped-electrons”, which enables decoupling oxidation and reduction reactions temporarily and spatially. This allows solar H2 generation in the dark, following light exposure, replication light and dark cycle of natural photosynthesis in an artificial set-up. The stability of the designed system was found to be limited by the Ni-based molecular catalyst, and the spectroscopic studies revealed electron transfer from CNx to catalyst as the kinetic bottleneck. Graphene based conductive scaffolds were introduced to the CNx-Ni system, to accelerate the rate of electron transfer from CNx to the Ni catalyst. Time-resolved spectroscopic techniques revealed that introducing these conductive binders enabled better electronic communication between CNx and Ni, resulting in significantly enhanced photocatalytic activity. To improve the solar-light utilisation and the photocatalytic performance of bulk CNx, a straightforward ultra-sonication approach was introduced. This pre-treatment was found to break aggregates of bulk CNx, and the resulting activated CNx had significantly improved activity. The activated CNx showed record activities per gram of the material used, for H2 evolution with a molecular Ni catalyst. The use of abundant waste sources instead of organic substrates was investigated in the presence of activated CNx. The system demonstrated to photoreform purified and raw lignocellulose samples into H2 in the presence of various H2 evolution catalysts over a wide range of pH.
description: The financial support from the Austrian Federal Ministry for Digital and Economic Affairs, the National Foundation for Research, Technology and Development and OMV to carry out this work is greatly acknowledged. St Edmund’s College is also acknowledged for financial support and guidance.
Crystalline frameworks self-assembled from amphiphilic DNA nanostructures
Creators: name: Brady, Ryan
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: DNA nanotechnology
Amphiphilic molecules
Self-assembly

description: Many emerging technologies would greatly benefit from reliable methods for the production of functional materials with well-defined 3D nanoscale structure. Conceptually, approaches to produce such architectures are divided into two broad classes; top down and bottom up manufacture. In the top down approach, nanoscale structure is created through the controlled removal of material from a bulk starting object. Top down methods have a proven record of reliability in the fabrication of extended two dimensional arrays with fine control over nanoscale features. However, such approaches become increasingly cumbersome when attempting to define structure in three dimensions rather than two. Bottom up methods promise a more reliable route to the formation of such materials. Here, molecular scale building units self-assemble to form a desired structure, driven by pre-defined interactions between individual motifs. Due to the highly specific molecular recognition properties of nucleic acids, along with their relatively simple synthesis and wide range of potential chemical modifications, DNA nanotechnology is now regarded as a prime route for the bottom up fabrication of nanostructured materials. However, current approaches to the formation of designed 3D DNA crystals are complicated by the difficulties in designing sub-units able to assemble in a predictable fashion over length-scales orders of magnitude larger than themselves. Amphiphiles are able to self-assemble into a variety of 3D crystalline phases driven by the frustrated micro-phase separation of hydrophobic and hydrophilic domains, with the structural properties reliant primarily on overall topology of the molecules rather than their exact chemical and geometrical features. Although the mechanism underlying amphiphile self-assembly is robust, it inherently limits control over the fine-scale structural details. This thesis reports on a new class of self-assembling DNA motifs; amphiphilic cholesterol-functionalised DNA nanostars, \emph {C-stars}. C-stars combine key advantages of all-DNA motifs and conventional amphiphilic molecules -- allowing for the preparation of expanded crystalline frameworks with tunable properties and embedded functionality.
description: EPSRC CDT in Nanoscience and Nanotechnology (NanoDTC), grant number EP/L015978/1.
Percolation in Models of Thin Film Depositions
Creators: name: Lebovka, N. I.
name: Manna, S. S.
name: Tarafdar, S.
name: Teslenko, N.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We have studied the percolation behaviour of deposits for different (2+1)-dimensional models of surface layer formation. The mixed model of deposition was used, where particles were deposited selectively according to the random (RD) and ballistic (BD) deposition rules. In the mixed one-component models with deposition of only conducting particles, the mean height of the percolation layer (measured in monolayers) grows continuously from 0.89832 for the pure RD model to 2.605 for the pure RD model, but the percolation transition belong to the same universality class, as in the 2- dimensional random percolation problem. In two- component models with deposition of conducting and isolating particles, the percolation layer height approaches infinity as concentration of the isolating particles becomes higher than some critical value. The crossover from 2d to 3d percolation was observed with increase of the percolation layer height.
description: 4 pages, 5 figures
Tropischyrocerus Just, 2009, gen. nov.
Creators: name: Just, Jean
Publisher: name: Zenodo
Year: 2009
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Malacostraca
Amphipoda
Ischyroceridae
Tropischyrocerus

description: Tropischyrocerus gen. nov.
 Type species. Tropischyrocerus pugilus sp. nov.
 Etymology. The name of the genus is a contraction of ‘tropical’ and Ischyrocerus alluding to the known distribution of the component species.
 Diagnosis. Ischyrocerini with antenna 1 accessory flagellum 2-articulate, second article minute. Coxae 1– 5 of equal depth, all less deep than corresponding pereonite; coxa 2 of male wider than 1 and 3, wider than deep, ventral margin concave or straight. Male gnathopod 2 merus and carpus well developed of subequal size, not compressed; carpus anterior margin broadly convex; propodus elongate, posterior margin straight, distally with single projections near insertion of dactylus, posteriorly with thumb; dactylus posterior margin smooth. Female gnathopod 1 propodus slightly smaller than gnathopod 2 propodus, posterior margin evenly convex; gnathopod 2 palm concave (for T. socia fide Conlan 1995). Pereopod 5 basis posterior margin not concave.
 Included species. Tropischyrocerus pugilus sp. nov.; T. socia (Myers, 1989) comb. nov.
 Remarks. Conlan (1995) reviewed the ischyrocerid genus Microjassa Stebbing, 1899. As a result she removed two species to a new genus Neoischyrocerus, together with a species previously in the genus Jassa. Conlan (1995: 369) further discussed Jassa socia Myers, 1989 (Bora Bora, Society Islands), but despite its resemblance to Neoischyrocerus lilipuna (J.L. Barnard, 1970), she rejected its inclusion in that genus on the grounds that it differed in six specific characters from the diagnosis of Neoischyrocerus. She transferred the species to Ischyrocerus, while noting that a new genus might be warranted for this and other Ischyrocerus species.
 Ischyrocerus socia and the new species Tropischyrocerus pugilus described below share diagnostic characters which differ from I. anguipes Krøyer, the type species of Ischyrocerus (Ischyrocerus still is in need of a full revision, a task beyond the scope of this study, hence the reference to its type species only). Ischyrocerus socia (Myers, 1989) is here transferred to the new genus Tropischyrocerus.
 Tropischyrocerus gen. nov. differs from Neoischyrocerus by shorter coxae, with male coxa 2 wider than deep, distinctly wider than 1 and 3; by the concave palm of gnathopod 2 in females; propodus of pereopod 3 and 4 lacking robust setae; and by the dactyli of gnathopods 1–2 and pereopods 5–7 lacking facial serration.
description: Published as part of Just, Jean, 2009, Ischyroceridae *, pp. 463-486 in Zootaxa 2260 (1) on page 466, DOI: 10.11646/zootaxa.2260.1.27, http://zenodo.org/record/10093465
Nutrients of Topsoil for Sugarcane Planting in Xinping County of Yunnan Province
Creators: name: Ma, Jiabin
name: Tian, Wanghai
name: Long, Shunfa
name: Li, Huazhen
name: Su, Long
name: Yin, Zhitao
name: Gao, Yuanyuan
name: Ma, Jiabin
name: Tian, Wanghai
name: Long, Shunfa
name: Li, Huazhen
name: Su, Long
name: Yin, Zhitao
name: Gao, Yuanyuan
Publisher: name: Unknown
Year: 2014
Subjects: subject: Agribusiness
subject: Sugarcane planting area
subject: Farmland
subject: Soil
subject: Nutrients
subject: Fertilizer application

description: To provide reference for fertilizer application of sugarcane planting in Xinping County, this paper analyzed nutrient content of topsoil according to the nutrient indicators established in the Second Soil Census. The results show that 51.76% soil in sugarcane planting area of Xinping County is faintly acid, 50.88% soil has relatively low organic matter, 45.88% soil lacks alkali-hydrolyzable nitrogen (N), 26.47% soil lacks phosphorus (P), 50.29% soil lacks potassium (K), 37.14% soil lacks sulfur (S), 12.86% soil lacks magnesium (Mg), 10% soil lacks manganese (Mn), and 31.43% soil lacks zinc (Zn). In the sugarcane production, it is required to pay attention to increase of application of organic fertilizer, to foster soil fertility, supplement boron fertilizer, to keep balance of soil nutrients.
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance
Creators: name: Sanchez, Justin
name: Neff, Christopher
name: Tabkhi, Hamed
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Action recognition is a key algorithmic part of emerging on-the-edge smart video surveillance and security systems. Skeleton-based action recognition is an attractive approach which, instead of using RGB pixel data, relies on human pose information to classify appropriate actions. However, existing algorithms often assume ideal conditions that are not representative of real-world limitations, such as noisy input, latency requirements, and edge resource constraints. To address the limitations of existing approaches, this paper presents Real-World Graph Convolution Networks (RW-GCNs), an architecture-level solution for meeting the domain constraints of Real World Skeleton-based Action Recognition. Inspired by the presence of feedback connections in the human visual cortex, RW-GCNs leverage attentive feedback augmentation on existing near state-of-the-art (SotA) Spatial-Temporal Graph Convolution Networks (ST-GCNs). The ST-GCNs' design choices are derived from information theory-centric principles to address both the spatial and temporal noise typically encountered in end-to-end real-time and on-the-edge smart video systems. Our results demonstrate RW-GCNs' ability to serve these applications by achieving a new SotA accuracy on the NTU-RGB-D-120 dataset at 94.1%, and achieving 32X less latency than baseline ST-GCN applications while still achieving 90.4% accuracy on the Northwestern UCLA dataset in the presence of spatial keypoint noise. RW-GCNs further show system scalability by running on the 10X cost effective NVIDIA Jetson Nano (as opposed to NVIDIA Xavier NX), while still maintaining a respectful range of throughput (15.6 to 5.5 Actions per Second) on the resource constrained device. The code is available here: https://github.com/TeCSAR-UNCC/RW-GCN.
Eikan shiryaku, 2
瀛環志略 二
Creators: name: Inoue, Shunyō.
Publisher: name: Tokushima : Konishi Kichibei and Miyajimaya Izaemon
Year: 2021

description: Roads, towns and provinces indicated. Chinese title: Ying huan zhi lue, by Xu Ji Yu (Chinese) published in 1849; 43 maps, based on western cartography.
MOESM1 of Effective public-private partnerships for sustainable antiretroviral therapy: outcomes of the Right to Care health services GP down-referral program
Creators: name: Idah Mokhele
name: Sello Mashamaite
name: Pappie Majuba
name: Thembi Xulu
name: Long, Lawrence
name: Onoya, Dorina
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: FOS: Biological sciences

description: Additional file 1. Missing 12-month viral load.
Identifying a common cause of the loser cell status in Drosophila melanogaster.
Creators: name: Dinan, Michael Peter
Publisher: name: Apollo - University of Cambridge Repository
Year: 2019
Subjects: cell
competition
drosophila

description: Cell competition is the process whereby less fit cells termed “losers” are selectively eliminated from a tissue by their fitter neighbors – or “ winners.” This sacrifice of aberrant cells is thought to have evolved at the advent of multicellularity to enforce cell co-operativity and ensure the fitness of the host organism. Accumulating evidence over the last 40 years has suggested key roles for cell competition during development, adult tissue homeostasis and at the onset and during the progression of diseases including cancer. However, if we are to exploit competition in the treatment of human pathologies and in tissue regeneration, we still have a lot to learn about the underlying mechanisms that ultimately instruct the elimination of loser cells. The main goal of this work was to identify the key molecular events that are responsible for initiating the loser status of Minute heterozygous cells. As many Minute mutations affect ribosomal genes, it has long been assumed that the loser status is closely linked to their associated slow growth phenotype, which occurs a consequence of reduced protein synthesis. Surprisingly, I have found that the loser status is independent of rates of translation. Instead, the activity of a single transcription factor, Nrf2, that typically co-ordinates an oxidative stress response, is sufficient to instruct the elimination of cells by their neighbors. Given the importance of Nrf2, I have sought to identify events occurring both upstream and downstream of the pathway in the loser context. Here, I have shown how multiple loser cell types are suffering from an underlying proteotoxic stress, as a result of an imbalance in proteostasis and their accumulation of toxic protein aggregates. In addition, I have developed a screening strategy to identify key molecules downstream of Nrf2 that could be involved in loser cell recognition. These findings not only provide new insights into the mechanisms of cell competition, but broaden the implications of the process to age-related diseases including those that result in neurodegeneration.
description: Wellcome Trust
Management of the Root Knot Nematode (Meloidogyne Javanica. Treub) and Sore Shin (Rhizoctonia Solani. Kuhn) Using A Nematicide and Poor Host Crops in Rotations
Creators: name: Mazarura, Upenyu
name: Chisango, C.
name: Goss, M.
name: Mazarura, Upenyu
name: Chisango, C.
name: Goss, M.
Publisher: name: Unknown
Year: 2012
Subjects: subject: Crop Production/Industries
subject: Food Consumption/Nutrition/Food Safety
subject: Nematodes
subject: Rotation
subject: Sore Shin
subject: Tobacco

description: In a long term study the effects of a nematicide and six rotations: root-knot-susceptible tobacco, Nicotiana tabacum L. cv.„KM10‟ grown continuously (ContKM10), root-knot-resistant tobacco cv. „RK8‟ grown continuously (ContRK8), grass-grass-grass-KM10 (G-G-G-KM10), grass-grass-grass-RK8 (G-G-G-RK8), KM10-Crotalaria juncea (KM10-Cr) and RK8-Crotalaria juncea (RK8-Cr), on root knot nematode, Meloidogyne javanica and sore shin, Rhizoctonia solani infection were studied. The nematicide used was ethylene dibromide (EDB) and was applied to each tobacco crop, as is standard practice. Chloris gayana cv. „Rhodes Katambora‟, presumably a poor host of nematodes, was the grass used in all the grass-grass-grass-Tobacco rotations. The treatments were arranged in a randomized complete block design. ContKM10, KM10-Cr, G-G-G-RK8, ContiRK8 and RK8-Cr reduced root knot galling while G-G-G-KM10 increased galling. Sore shin increased with every year of rotation regardless of rotation, except in the case of G-G-G-KM10 and G-G-G-RK8 which reduced infection relative to other rotations. With the exception of G-G-G-RK8, all rotations that included RK8 suppressed root knot infection but did not suppress sore shin infection. The rotations including KM10 suppressed nematodes only with EDB treatment yearly and did not suppress sore shin except the rotation G-G-G-KM10. The role of Crotolaria juncea was masked by either RK8 or EDB. Host plant resistance in the form of RK8 was effective in controlling nematodes but did not reduce sore shin except mildly when rotated with the grass. This work recommends the use of resistant cultivars with broad-spectrum resistances.
Predicting Research Trends in Artificial Intelligence with Gradient Boosting Decision Trees and Time-aware Graph Neural Networks
Creators: name: Lu, Yichao
Publisher: name: arXiv
Year: 2022
Subjects: subject: Social and Information Networks (cs.SI)
subject: FOS: Computer and information sciences

description: The Science4cast 2021 competition focuses on predicting future edges in an evolving semantic network, where each vertex represents an artificial intelligence concept, and an edge between a pair of vertices denotes that the two concepts have been investigated together in a scientific paper. In this paper, we describe our solution to this competition. We present two distinct approaches: a tree-based gradient boosting approach and a deep learning approach, and demonstrate that both approaches achieve competitive performance. Our final solution, which is based on a blend of the two approaches, achieved the 1st place among all the participating teams. The source code for this paper is available at https://github.com/YichaoLu/Science4cast2021.
description: 1st place solution to the Science4cast 2021 competition. Published in: 2021 IEEE International Conference on Big Data (Big Data)
Mark Online, a Full Scale GIS-based Danish Farm Management Information System
Creators: name: Bligaard, Jens
name: Bligaard, Jens
Publisher: name: Unknown
Year: 2014
Subjects: subject: Agribusiness
subject: Farm Management
subject: FMIS
subject: field record keeping
subject: client-server
subject: data base
subject: Denmark

description: With its oceanic climate with moderate summers and mild winters in combination with a highly organized infrastructure, farming has traditionally been very intensive in Denmark. The cultivated land constitutes 26,000 km² out of a total of 43,000 km². Most of the arable land is used for intensive plant production with a high level of mechanization and management practices. For more than three decades The Knowledge Centre for Agriculture (KCA) has developed and implemented ICT Farm Management Information Systems (FMIS) for planning and documentation of all aspects of crop production. Today, updated field specific information on field size, soil type, crops, varieties, soil tillage, sowing, fertilization, pesticide usage etc. is now hosted in the GIS-based FMIS, Mark Online covering more than 80% of the arable land. A centralized Microsoft SQL data base forms the core base for all the information. Based on a MS .NET framework a number of multi-tier client-server applications have been developed. Most of the desk top applications consist of relative thick clients based on Win forms, whereas HTML5 apps and Android/IOS native apps are used for the mobile platform. Data exchange between the clients and server are based on a web service layer using data compression to improve performance. Farmers are one of the two primary target groups. Local agricultural advisors working on behalf of farmers not having their own software is the other primary target group. Nonetheless, both groups are mainly focusing on field record planning, decision making and documentation. Data is transferred between the Mark Online system and the authorities by XML-based web services or ordinary file upload to official websites. The Open Geospatial Consortium’s Web Feature Service (WFS) provides another interface allowing requests for geospatial features, which is used between Mark Online and external GIS.
Diffuse and Gravitationally Stable Molecular Gas in the Post-Starburst Galaxy NGC 5195
Creators: name: Kohno, K.
name: Tosaki, T.
name: Matsushita, S.
name: Vila-Vilaro, B.
name: Shibatsuka, T.
name: Kawabe, R.
Publisher: name: arXiv
Year: 2002
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: The Nobeyama Millimeter Array (NMA) has been used to make aperture synthesis CO(1-0) observations of the post-starburst galaxy NGC 5195. CO(1-0) and HCN(1-0) observations of NGC 5195 using the Nobeyama 45 m telescope are also presented. High-resolution (1".9 x 1".8 or 86 pc x 81 pc at D = 9.3 Mpc) NMA maps show a strong concentration of CO emission toward the central a few 100 pc region of NGC 5195, despite the fact that the current massive star formation is suppressed there. The HCN-to-CO integrated intensity ratio on the brightness temperature scale, R_{HCN/CO}, is about 0.02 within the central r < 400 pc region. This R_{HCN/CO} is smaller than those in starburst regions by a factor of 5 - 15. These molecular gas properties would explain why NGC 5195 is in a post-starburst phase; most of the dense molecular cores (i.e., the very sites of massive star formation) have been consumed away by a past starburst event, and therefore a burst of massive star formation can no longer last, although a large amount of low density gas still exists. We propose that dense molecular gas can not be formed from remaining diffuse molecular gas because the molecular gas in the center of NGC 5195 is too stable to form dense cores via gravitational instabilities of diffuse molecular gas.
description: 26 pages, 10 figures, PASJ, vol. 54, in press. For the preprint with high resolution figures, see http://www.nro.nao.ac.jp/library/report/list.html or http://www.ioa.s.u-tokyo.ac.jp/~kkohno/n5195/all.ps.gz
A CommonKADS Model Framework for Web Based Agricultural Decision Support System
Creators: name: Patel, Jignesh
name: Bhatt, Chetan
name: Patel, Jignesh
name: Bhatt, Chetan
Publisher: name: Unknown
Year: 2015
Subjects: subject: Agribusiness
subject: Farm Management
subject: Production Economics
subject: Agricultural decision support system
subject: CommonKADS
subject: irrigation scheduling
subject: disease forecasting
subject: India

description: Increased demand of farm products and depletion of natural resources compel the agriculture community to increase the use of Information and Communication Technology (ICT) in various farming processes. Agricultural Decision Support Systems (DSS) proved useful in this regard. The majority of available Agricultural DSSs are either crop or task specific. Less emphasis has been placed on the development of comprehensive DSS, which are non-specific regarding crops or farming processes. The crop or task specific DSSs are mainly developed with rule based or knowledge transfer based approaches. The DSSs based on these methodologies lack the ability for scaling up and generalization. The Knowledge engineering modeling approach is more suitable for the development of large and generalized DSS. Unfortunately the model based knowledge engineering approach is not much exploited for the development of Agricultural DSS. CommonKADS is one of the popular modeling frameworks used for the development of Knowledge Based System (KBS). The paper presents the organization, agent, task, communication, knowledge and design models based on the CommonKADS approach for the development of scalable Agricultural DSS. A specific web based DSS application is used for demonstrating the multi agent CommonKADS modeling approach. The system offers decision support for irrigation scheduling and weather based disease forecasting for the popular crops of India. The proposed framework along with the required expert knowledge, provides a platform on which the larger DSS can be built for any crop at a given location.
How Dota 2 impacts players lives
Creators: name: Hawk.live LLC
Publisher: name: Zenodo
Year: 2024
Subjects: subject: Video games
subject: Video Games
subject: Dota 2

description: Dota 2 is a MOBA game by Valve that has an immense effect on much of its gamingpopulation, and this effect is mainly witnessed in the emotional aspect. More thanfifty percent of interviewed players admitted that Dota 2 has greatly changed theirlives both emotionally and in terms of time management and financial investments.Source: Hawk.live
Applying a Markov approach as a Lean Thinking analysis of waste elimination in a Rice Production Process
Creators: name: Caldwell Marin, Eldon Glen
name: Caldwell Marin, Eldon Glen
Publisher: name: Unknown
Year: 2015
Subjects: subject: Agribusiness
subject: Farm Management
subject: Production Economics
subject: Research Methods/ Statistical Methods
subject: Rice
subject: Lean Manufacturing
subject: Statistical Thinking
subject: Markov Chains
subject: Costa Rica

description: The Markov Chains Model was proposed to analyze stochastic events when recursive cycles occur; for example, when rework in a continuous flow production affects the overall performance. Typically, the analysis of rework and scrap is done through a wasted material cost perspective and not from the perspective of waste capacity that reduces throughput and economic value added (EVA). Also, we can not find many cases of this application in agro-industrial production in Latin America, given the complexity of the calculations and the need for robust applications. This scientific work presents the results of a quasi-experimental research approach in order to explain how to apply DOE methods and Markov analysis in a rice production process located in Central America, evaluating the global effects of a single reduction in rework and scrap in a part of the whole line. The results show that in this case it is possible to evaluate benefits from Global Throughput and EVA perspective and not only from the saving costs perspective, finding a relationship between operational indicators and corporate performance. However, it was found that it is necessary to analyze the markov chains configuration with many rework points, also it is still relevant to take into account the effects on takt time and not only scrap´s costs
Novel 2019 Coronavirus Structure, Mechanism of Action, Antiviral drug promises and rule out against its treatment
Creators: name: Boopathi, Subramanian
name: Poma, Adolfo B.
name: Ponmalai Kolandaivel
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biochemistry
subject: Medicine
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology
subject: Computational Biology

description: In the past two decades, the world has faced several infectious disease outbreaks. Ebola, Influenza A (H1N1), SARS, MERS, and Zika virus have had a massive global impact in terms of economic disruption, the strain on local and global public health. Most recently, the global outbreak of novel coronavirus 2019 (SARS-CoV-2) that causes COVID-19 is a newly discovered virus from the coronavirus family in Wuhan city, China, known to be a great threat to the public health systems. As of 15 April 2020, The Johns Hopkins University estimated that the COVID-19 affected more than two million people, resulting in a death toll above 130,000 around the world. Infected people in Europe and America correspond about 40% and 30% of the total reported cases respectively. At this moment only few Asian countries have controlled the disease, but a second wave of new infections is expected. Predicting inhibitor and target to the COVID-19 is an urgent need to protect human from the disease. Therefore, a protocol to identify anti-COVID-19 candidate based on computer-aided drug design is urgently needed. Thousands of compounds including approved drugs and drugs in the clinical trial are available in the literature. In practice, experimental techniques can measure the time and space average properties but they cannot be captured the structural variation of the COVID-19 during the interaction of inhibitor. Computer simulation is particularly suitable to complement experiments to elucidate conformational changes at the molecular level which are related to inhibition process of the COVID-19. Therefore, computational simulation is essential tool to elucidate the phenomenon. The structure-based virtual screening computational approach will be used to filter the best drugs from the literature, the investigate the structural variation of COVID-19 with the interaction of the best inhibitor is a fundamental step to design new drugs and vaccines which can combat the coronavirus. This mini-review will address novel coronavirus structure, mechanism of action, and trial test of antiviral drugs in the lab and patients with COVID-19.
MOESM3 of Contacting out-of-hours primary care or emergency medical services for time-critical conditions - impact on patient outcomes
Creators: name: Søvsø, Morten
name: Christensen, Morten
name: Bech, Bodil
name: Christensen, Helle
name: Christensen, Erika
name: Huibers, Linda
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy

description: Additional file 3. Sensitivity analysis for the association between OOH service, ICU stay and mortality (N = 6826). Crude analysis of the association between OOH service, 1- and 1–30 day mortality and ICU stay using the patients’ last hospital contact during the study period.