cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The epsilon Eridani system resolved by millimeter interferometry
Creators: name: MacGregor, Meredith A.
name: Wilner, David J.
name: Andrews, Sean M.
name: Lestrade, Jean-François
name: Maddison, Sarah
Publisher: name: Swinburne
Year: 2024

description: We present observations of epsilon Eridani from the Submillimeter Array (SMA) at 1.3 mm and from the Australia Telescope Compact Array at 7 mm that reach an angular resolution of ~4'' (13 AU). These first millimeter interferometer observations of epsilon Eridani, which hosts the closest debris disk to the Sun, reveal two distinct emission components: (1) the well-known outer dust belt, which, although patchy, is clearly resolved in the radial direction, and (2) an unresolved source coincident with the position of the star. We use direct model-fitting of the millimeter visibilities to constrain the basic properties of these two components. A simple Gaussian shape for the outer belt fit to the SMA data results in a radial location of ${64.4}_{-3.0}^{+2.4}$ AU and FWHM of ${20.2}_{-8.2}^{+6.0}$ AU (fractional width ${rm{Delta }}$R/R = 0.3). Similar results are obtained taking a power law radial emission profile for the belt, though the power law index cannot be usefully constrained. Within the noise obtained (0.2 mJy beam?1), these data are consistent with an axisymmetric belt model and show no significant azimuthal structure that might be introduced by unseen planets in the system. These data also limit any stellocentric offset of the belt to <9 AU, which disfavors the presence of giant planets on highly eccentric (>0.1) and wide (10's of AU) orbits. The flux density of the unresolved central component exceeds predictions for the stellar photosphere at these long wavelengths, by a marginally significant amount at 1.3 mm but by a factor of a few at 7 mm (with brightness temperature 13000 ? 1600 K for a source size of the optical stellar radius). We attribute this excess emission to ionized plasma from a stellar corona or chromosphere.
Coelioxys (Boreocoelioxys) octodentatus Say 1824
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Coelioxys
Coelioxys octodentatus

description: Coelioxys (Boreocoelioxys) octodentatus Say 1824
County records: Berrien, Cheboygan, Clinton, Huron, Ingham, Kalamazoo, Kalkaska, Lenawee, Livingston, Midland, Oakland, Shiawassee, Van Buren, Washtenaw, Wayne.
Notes. Hosts include Megachile brevis Say (Baker 1971; Hicks 1926; Michener 1953; Pengelly 1955), M. mendica Cresson (Medler 1965), M. centuncularis (Medler & Lussenhop 1968; Pengelly 1955), M. perihirta Cockerell and M. rotundata (Baker 1975), and M. texana and possibly M. frigida and M. melanophaea (Pengelly 1955).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 103, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
A genetic programming predictive model for parametric study of factors affecting strength of geopolymers
Creators: name: Leong, H. Y.
name: Ong, D. E. L.
name: Sanjayan, Jay
name: Nazari, Ali
Publisher: name: Swinburne
Year: 2024

description: In this paper, the effect of different factors including mixture proportions and curing conditions on compressive strength of fly ash-based geopolymers was studied. Several parameters were used to construct a predictive model based on genetic programming, which deliver the compressive strength of specimens with reasonable accuracy. A parametric study was carried on to evaluate the effect of each individual parameter on strength of geopolymers. The results obtained by the model showed that changing the percentage of aggregates in the standard range and age of curing are ineffective on compressive strength of the considered geopolymer. On the other hand, increasing the percentage of fly ash, curing temperature and liquid to ash weight ratio were shown to assist compressive strength to improve. Another important parameter namely, sodium silicate to alkali hydroxide weight ratio had an optimum value of 2.5 to deliver the highest strength. All of model predictions were in accordance to the experimental results and those available in the literature for many types of fly ashbased geopolymers. It was concluded that Sarawak fly ash can be suitably used to synthesize geopolymers when the producing factors are precisely determined.
TGAVC: Improving Autoencoder Voice Conversion with Text-Guided and Adversarial Training
Creators: name: Tang, Huaizhen
name: Zhang, Xulong
name: Wang, Jianzong
name: Cheng, Ning
name: Zeng, Zhen
name: Xiao, Edward
name: Xiao, Jing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Sound (cs.SD)
subject: Artificial Intelligence (cs.AI)
subject: Audio and Speech Processing (eess.AS)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Non-parallel many-to-many voice conversion remains an interesting but challenging speech processing task. Recently, AutoVC, a conditional autoencoder based method, achieved excellent conversion results by disentangling the speaker identity and the speech content using information-constraining bottlenecks. However, due to the pure autoencoder training method, it is difficult to evaluate the separation effect of content and speaker identity. In this paper, a novel voice conversion framework, named $\boldsymbol T$ext $\boldsymbol G$uided $\boldsymbol A$utoVC(TGAVC), is proposed to more effectively separate content and timbre from speech, where an expected content embedding produced based on the text transcriptions is designed to guide the extraction of voice content. In addition, the adversarial training is applied to eliminate the speaker identity information in the estimated content embedding extracted from speech. Under the guidance of the expected content embedding and the adversarial training, the content encoder is trained to extract speaker-independent content embedding from speech. Experiments on AIShell-3 dataset show that the proposed model outperforms AutoVC in terms of naturalness and similarity of converted speech.
description: ASRU 6 pages
ALMA images of discs: Are all gaps carved by planets?
Creators: name: Gonzalez, J.-F.
name: Laibe, G.
name: Maddison, Sarah
name: Pinte, C.
name: Ménard, F.
Publisher: name: Swinburne
Year: 2024

description: Protoplanetary discs are now routinely observed and exoplanets, after the numerous indirect discoveries, are starting to be directly imaged. To better understand the planet formation process, the next step is the detection of forming planets or of signposts of young planets still in their disc, such as gaps. A spectacular example is the Atacama Large Millimeter/submillimeter Array (ALMA) science verification image of HL Tau showing numerous gaps and rings in its disc. To study the observability of planet gaps, we ran 3D hydrodynamical simulations of a gas and dust disc containing a 5 MJ gap-opening planet and characterized the spatial distribution of migrating, growing and fragmenting dust grains. We then computed the corresponding synthetic images for ALMA. For a value of the dust fragmentation threshold of 15 m s-1 for the collisional velocity, we identify for the first time a self-induced dust pile-up in simulations taking fragmentation into account. This feature, in addition to the easily detected planet gap, causes a second apparent gap that could be mistaken for the signature of a second planet. It is therefore essential to be cautious in the interpretation of gap detections.
New H i 21-cm absorbers at low and intermediate redshifts
Creators: name: Zwaan, M. A.
name: Liske, J.
name: Péroux, C.
name: Murphy, Michael
name: Bouché, N.
name: Curran, S. J.
name: Biggs, A. D.
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 5101
subject: Astronomical sciences
classificationCode: 5109
subject: Space sciences

description: We present the results of a survey for intervening H i 21-cm absorbers at intermediate and low redshift (0 < z < 1.2). For our total sample of 24 systems, we obtained high-quality data for 17 systems, the other seven being severely affected by radio frequency interference (RFI). Five of our targets are low-redshift (z < 0.17) optical galaxies with small impact parameters (<20 kpc) towards radio-bright background sources. Two of these were detected in 21-cm absorption, showing narrow, high optical depth absorption profiles, the narrowest having a velocity dispersion of only 1.5 km s− 1, which puts an upper limit on the kinetic temperature of Tk < 270 K. Combining our observations with results from the literature, we measure a weak anticorrelation between impact parameter and integral optical depth in local (z < 0.5) 21-cm absorbers. Of 11 Ca ii and Mg ii systems searched, two were detected in 21-cm absorption, and six were affected by RFI to a level that precludes a detection. For these two systems at z ∼ 0.6, we measure spin temperatures of Ts = (65 ± 17) K and Ts > 180 K. A subset of our systems was also searched for OH absorption, but no detections were made.
Testing of Machine Learning Models with Limited Samples: An Industrial Vacuum Pumping Application
Creators: name: Chatterjee, Ayan
name: Ahmed, Bestoun S.
name: Hallin, Erik
name: Engman, Anton
Publisher: name: arXiv
Year: 2022
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: There is often a scarcity of training data for machine learning (ML) classification and regression models in industrial production, especially for time-consuming or sparsely run manufacturing processes. A majority of the limited ground-truth data is used for training, while a handful of samples are left for testing. Here, the number of test samples is inadequate to properly evaluate the robustness of the ML models under test for classification and regression. Furthermore, the output of these ML models may be inaccurate or even fail if the input data differ from the expected. This is the case for ML models used in the Electroslag Remelting (ESR) process in the refined steel industry to predict the pressure in a vacuum chamber. A vacuum pumping event that occurs once a workday generates a few hundred samples in a year of pumping for training and testing. In the absence of adequate training and test samples, this paper first presents a method to generate a fresh set of augmented samples based on vacuum pumping principles. Based on the generated augmented samples, three test scenarios and one test oracle are presented to assess the robustness of an ML model used for production on an industrial scale. Experiments are conducted with real industrial production data obtained from Uddeholms AB steel company. The evaluations indicate that Ensemble and Neural Network are the most robust when trained on augmented data using the proposed testing strategy. The evaluation also demonstrates the proposed method's effectiveness in checking and improving ML algorithms' robustness in such situations. The work improves software testing's state-of-the-art robustness testing in similar settings. Finally, the paper presents an MLOps implementation of the proposed approach for real-time ML model prediction and action on the edge node and automated continuous delivery of ML software from the cloud.
description: 11 pages
Coelioxys (Boreocoelioxys) porterae Cockerell 1900
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Coelioxys
Coelioxys porterae

description: Coelioxys (Boreocoelioxys) porterae Cockerell 1900
County records: Alger, Alpena, Cheboygan, Clinton, Delta, Emmet, Hillsdale, Huron, Iron, Kalamazoo, Keweenaw, Mackinac, Marquette, Mecosta, Midland, Muskegon, St. Joseph.
Notes. Hosts include Megachile frigida (Baker 1975) and M. relativa (Mitchell 1962; Sheffield et al. 2008).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 103, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
A robust deuterium abundance; re-measurement of the z = 3.256 absorption system towards the quasar PKS 1937-101
Creators: name: Riemer-Sørensen, S.
name: Webb, J. K.
name: Crighton, Neil
name: Dumont, V.
name: Ali, K.
name: Kotuš, S.
name: Bainbridge, M.
name: Murphy, Michael
name: Carswell, R.
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 5101
subject: Astronomical sciences
classificationCode: 5109
subject: Space sciences

description: The primordial deuterium abundance is an important tracer of the fundamental physics taking place during big bang nucleosynthesis. It can be determined from absorption features along the line of sight to distant quasars. The quasar PKS 1937-1009 contains two absorptions systems that have been used to measure the primordial deuterium abundance, the lower redshift one being at zabs = 3.256. New observations of this absorber are of a substantially higher signal-to-noise ratio and thus permit a significantly more robust estimate of the primordial deuterium abundance, leading to a D I/H I ratio of 2.45 ± 0.28 × 10-5. Whilst the precision of the new measurement presented here is below that obtained from the recent cosmological parameter measurements by the Planck Surveyor, our analysis illustrates how a statistical sample obtained using similarly high spectral signal-to-noise ratio can make deuterium a competitive and complementary cosmological parameter estimator and provide an explanation for the scatter seen between some existing deuterium measurements.
Multi-Frames Temporal Abnormal Clues Learning Method for Face Anti-Spoofing
Creators: name: Cong, Heng
name: Zhang, Rongyu
name: He, Jiarong
name: Gao, Jin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Face anti-spoofing researches are widely used in face recognition and has received more attention from industry and academics. In this paper, we propose the EulerNet, a new temporal feature fusion network in which the differential filter and residual pyramid are used to extract and amplify abnormal clues from continuous frames, respectively. A lightweight sample labeling method based on face landmarks is designed to label large-scale samples at a lower cost and has better results than other methods such as 3D camera. Finally, we collect 30,000 live and spoofing samples using various mobile ends to create a dataset that replicates various forms of attacks in a real-world setting. Extensive experiments on public OULU-NPU show that our algorithm is superior to the state of art and our solution has already been deployed in real-world systems servicing millions of users.
description: 6 pages,7 figures,The 34th International Conference on Software Engineering & Knowledge Engineering
Where Are You Looking?: A Large-Scale Dataset of Head and Gaze Behavior for 360-Degree Videos and a Pilot Study
Creators: name: Jin, Yili
name: Liu, Junhua
name: Wang, Fangxin
name: Cui, Shuguang
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: 360° videos in recent years have experienced booming development. Compared to traditional videos, 360° videos are featured with uncertain user behaviors, bringing opportunities as well as challenges. Datasets are necessary for researchers and developers to explore new ideas and conduct reproducible analyses for fair comparisons among different solutions. However, existing related datasets mostly focused on users' field of view (FoV), ignoring the more important eye gaze information, not to mention the integrated extraction and analysis of both FoV and eye gaze. Besides, users' behavior patterns are highly related to videos, yet most existing datasets only contained videos with subjective and qualitative classification from video genres, which lack quantitative analysis and fail to characterize the intrinsic properties of a video scene. To this end, we first propose a quantitative taxonomy for 360° videos that contains three objective technical metrics. Based on this taxonomy, we collect a dataset containing users' head and gaze behaviors simultaneously, which outperforms existing datasets with rich dimensions, large scale, strong diversity, and high frequency. Then we conduct a pilot study on user's behaviors and get some interesting findings such as user's head direction will follow his/her gaze direction with the most possible time interval. A case of application in tile-based 360° video streaming based on our dataset is later conducted, demonstrating a great performance improvement of existing works by leveraging our provided gaze information. Our dataset is available at https://cuhksz-inml.github.io/head_gaze_dataset/
description: Accepted by ACM MM 2022. Dataset is available at https://cuhksz-inml.github.io/head_gaze_dataset
Image Quality Assessment with Gradient Siamese Network
Creators: name: Cong, Heng
name: Fu, Lingzhi
name: Zhang, Rongyu
name: Zhang, Yusheng
name: Wang, Hao
name: He, Jiarong
name: Gao, Jin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Image and Video Processing (eess.IV)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: In this work, we introduce Gradient Siamese Network (GSN) for image quality assessment. The proposed method is skilled in capturing the gradient features between distorted images and reference images in full-reference image quality assessment(IQA) task. We utilize Central Differential Convolution to obtain both semantic features and detail difference hidden in image pair. Furthermore, spatial attention guides the network to concentrate on regions related to image detail. For the low-level, mid-level and high-level features extracted by the network, we innovatively design a multi-level fusion method to improve the efficiency of feature utilization. In addition to the common mean square error supervision, we further consider the relative distance among batch samples and successfully apply KL divergence loss to the image quality assessment task. We experimented the proposed algorithm GSN on several publicly available datasets and proved its superior performance. Our network won the second place in NTIRE 2022 Perceptual Image Quality Assessment Challenge track 1 Full-Reference.
description: 10 pages, 5 figures, Computer Vision and Pattern Recognition (CVPR) Workshops
Proceedings 15th Interaction and Concurrency Experience
Creators: name: Aubert, Clément
name: Di Giusto, Cinzia
name: Safina, Larisa
name: Scalas, Alceste
Publisher: name: arXiv
Year: 2022
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: This volume contains the proceedings of ICE'22, the 15th Interaction and Concurrency Experience, which was held as an hybrid event in Lucca, Italy, and as a satellite event of DisCoTec'22. The ICE workshop series features a distinguishing review and selection procedure: PC members are encouraged to interact, anonymously, with authors. The 2022 edition of ICE included double blind reviewing of original research papers, in order to increase fairness and avoid bias in reviewing. Each paper was reviewed by between two and four PC members (with an average of 3.33333333333), and altogether 5 papers were accepted for publication -- plus 3 oral presentations which are not part of this volume. We were proud to host 2 invited talks, by Ilaria Castellani and Matthew Parkinson. The abstracts of these talks are included in this volume, together with the final versions of the research papers, which take into account the discussion at the workshop.
Violations of multisetting quaternion and octonion Bell inequalities
Creators: name: Kiesewetter, S.
name: Drummond, Peter
name: Reid, Margaret
Publisher: name: Swinburne
Year: 2024

description: We examine the N-partite quaternion and octonion dichotomic Bell inequalities derived by Vogel and Shchukin utilizing the square identities of Euler and Degen, which apply to experiments with M settings at each spatially separated site. We reveal these inequalities to be violated by the Greenberger-Horne-Zeilinger state, for N≥3 and 2≤M≤8. Violations are robust with respect to loss, the threshold detection efficiency being η>22N-1 for all M, implying violations for efficiencies as low as η∼50% at each site, as N→.
Coelioxys (Boreocoelioxys) sayi Robertson 1897
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Coelioxys
Coelioxys sayi

description: Coelioxys (Boreocoelioxys) sayi Robertson 1897
County records: Allegan, Barry, Benzie, Berrien, Branch, Calhoun, Cass, Gratiot, Hillsdale, Huron, Ingham, Ionia, Iosco, Isabella, Jackson, Kalamazoo, Lenawee, Midland, Missaukee, Monroe, Montcalm, Muskegon, Newaygo, Osceola, Ottawa, Shiawassee, St. Joseph, Van Buren, Washtenaw, Wayne.
Notes. Recorded as a cleptoparasite of Megachile brevis (Baker 1975) and M. mendica (Medler 1965).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 104, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
The accretion history of dark matter haloes - III. A physical model for the concentration-mass relation
Creators: name: Correa, Camila A.
name: Stuart, J.
name: Wyithe, B.
name: Schaye, Joop
name: Duffy, Alan
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 510103
subject: Cosmology and extragalactic astronomy

description: We present a semi-analytic, physically motivated model for dark matter halo concentration as a function of halo mass and redshift. The semi-analytic model combines an analytic model for the halo mass accretion history (MAH), based on extended Press–Schechter (EPS) theory, with an empirical relation between concentration and formation time obtained through fits to the results of numerical simulations. Because the semi-analytic model is based on EPS theory, it can be applied to wide ranges in mass, redshift and cosmology. The resulting concentration–mass (c–M) relations are found to agree with the simulations, and because the model applies only to relaxed haloes, they do not exhibit the upturn at high masses or high redshifts found by some recent works. We predict a change of slope in the z ∼ 0 c–M relation at a mass-scale of 1011 M⊙. We find that this is due to the change in the functional form of the halo MAH, which goes from being dominated by an exponential (for high-mass haloes) to a power law (for low-mass haloes). During the latter phase, the core radius remains approximately constant, and the concentration grows due to the drop of the background density. We also analyse how the c–M relation predicted by this work affects the power produced by dark matter annihilation, finding that at z = 0 the power is two orders of magnitude lower than that obtained from extrapolating best-fitting c–M relations. We provide fits to the c–M relations as well as numerical routines to compute concentrations and MAHs.
A simple model of the scanning near-field optical microscopy probe tip for electric field enhancement
Creators: name: Yingjie, Wang
name: Wei, Cai
name: Mu, Yang
name: Zhengliang, Liu
name: Guangyi, Shang
Publisher: name: The Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Poland
Year: 2017
Subjects: near-field tip, electromagnetic field enhancement, finite-different time-domain (FDTD)

description: OPTICA APPLICATA; 01/2017; ISSN 1429-7507
A known-plaintext attack on iterative random phase encoding in fractional Fourier domains
Creators: name: Fucheng, Yin
name: Qi, He
name: Zhengjun, Liu
Publisher: name: The Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Poland
Year: 2017
Subjects: image encryption, phase encoding, known-plaintext attack

description: OPTICA APPLICATA; 01/2017; ISSN 1429-7507
Image encryption algorithm by using the logistic map and discrete fractional angular transform
Creators: name: Jing, Yu
name: Yuan, Li
name: Xinwen, Xie
name: Nanrun, Zhou
name: Zhihong, Zhou
Publisher: name: The Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Poland
Year: 2017
Subjects: image encryption, logistic map, discrete fractional angular transform

description: OPTICA APPLICATA; 01/2017; ISSN 1429-7507
Deep data analysis in gigabit passive optical networks
Creators: name: Horvath, Tomas
name: Krkos, Radko
name: Dubravec, Lubos
Publisher: name: The Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Poland
Year: 2017
Subjects: GPONXpert, gigabit passive optical networks (GPON) signalling, user plane, frame structure, payload analysis

description: OPTICA APPLICATA; 01/2017; ISSN 1429-7507
Lecanosticta - Brown Spot Disease Of Pines- Spread In European Forest Ecosystems: Impact On Pines, Predisposing And Contributing Factors, Control (Brownspotrisk)
Creators: name: Cech Thomas
Publisher: name: Zenodo
Year: 2018
Subjects: Euphresco, Lecanosticta acicola, epidemiology, detection, control

description: Slide of the Euphresco project 2016-G-223 'Lecanosticta - Brown spot disease of pines- spread in European forest ecosystems: impact on pines, predisposing and contributing factors, control (BROWNSPOTRISK)'
description: Project funded through the Euphresco network
Collective dynamics of capacity-constrained ride-pooling fleets
Creators: name: Zech, Robin M.
name: Molkenthin, Nora
name: Timme, Marc
name: Schröder, Malte
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Ride-pooling (or ride-sharing) services combine trips of multiple customers along similar routes into a single vehicle. The collective dynamics of the fleet of ride-pooling vehicles fundamentally underlies the efficiency of these services. In simplified models, the common features of these dynamics give rise to scaling laws of the efficiency that are valid across a wide range of street networks and demand settings. However, it is unclear how constraints of the vehicle fleet impact such scaling laws. Here, we map the collective dynamics of capacity-constrained ride-pooling fleets to services with unlimited passenger capacity and identify an effective fleet size of available vehicles as the relevant scaling parameter characterizing the dynamics. Exploiting this mapping, we generalize the scaling laws of ride-pooling efficiency to capacity-constrained fleets. We approximate the scaling function with a queueing theoretical analysis of the dynamics in a minimal model system, thereby enabling mean-field predictions of required fleet sizes in more complex settings. These results may help to transfer insights from existing ride-pooling services to new settings or service locations.
A simple proof of the Fundamental Theorem of Algebra
Creators: name: Chakraborty, Bikash
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics
subject: 30D20

description: Many proofs of the Fundamental Theorem of Algebra, including various proofs based on the theory of analytic functions of a complex variable, are known. To the best of our knowledge, this proof is different from the existing ones.
description: 2 pages
Megasonic Separation of Food Droplets and Particles: Design Considerations
Creators: name: Leong, Thomas
name: Knoerzer, Kai
name: Trujillo, Francisco J.
name: Johansson, Linda
name: Manasseh, Richard
name: Barbosa-Cánovas, Gustavo V.
name: Juliano, Pablo
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 4017
subject: Mechanical engineering
subject: FOS: Mechanical engineering

description: The design aspects for building a megasonic reactor for separation of food materials from liquid/liquid or solid/liquid mixtures are presented in this review. These aspects are based on the theoretical principles of acoustic particle manipulation such as the acoustic primary and secondary radiation forces, acoustic streaming, and the properties of food materials. Key considerations for the design of megasonic reactors are reviewed, which include the transducer selection, positioning and alignment, as well as construction materials and geometry of transducers and reactor. The design of these reactors is discussed around various food applications including palm oil separation, milk fat separation and fractionation, yeast separation in fermentation processes, and separation of microalgae.
Coelioxys Latreille
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Coelioxys

description: Subgenus Coelioxys Latreille
Revision: Baker (1975).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 104, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
An Urban Population Health Observatory for Disease Causal Pathway Analysis and Decision Support: Underlying Explainable Artificial Intelligence Model
Creators: name: Brakefield, Whitney S
name: Ammar, Nariman
name: Shaban-Nejad, Arash
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Computers and Society (cs.CY)
subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: This study sought to (1) expand our existing Urban Population Health Observatory (UPHO) system by incorporating a semantics layer; (2) cohesively employ machine learning and semantic/logical inference to provide measurable evidence and detect pathways leading to undesirable health outcomes; (3) provide clinical use case scenarios and design case studies to identify socioenvironmental determinants of health associated with the prevalence of obesity, and (4) design a dashboard that demonstrates the use of UPHO in the context of obesity surveillance using the provided scenarios. The system design includes a knowledge graph generation component that provides contextual knowledge from relevant domains of interest. This system leverages semantics using concepts, properties, and axioms from existing ontologies. In addition, we used the publicly available US Centers for Disease Control and Prevention 500 Cities data set to perform multivariate analysis. A cohesive approach that employs machine learning and semantic/logical inference reveals pathways leading to diseases. In this study, we present 2 clinical case scenarios and a proof-of-concept prototype design of a dashboard that provides warnings, recommendations, and explanations and demonstrates the use of UPHO in the context of obesity surveillance, treatment, and prevention. While exploring the case scenarios using a support vector regression machine learning model, we found that poverty, lack of physical activity, education, and unemployment were the most important predictive variables that contribute to obesity in Memphis, TN. The application of UPHO could help reduce health disparities and improve urban population health. The expanded UPHO feature incorporates an additional level of interpretable knowledge to enhance physicians, researchers, and health officials' informed decision-making at both patient and community levels.
description: 15 Pages, 5 figures, and 3 tables
Neurophysiological correlates of configural face processing in schizotypy
Creators: name: Oliver, Rachel
name: Francis, Andrew J. P.
name: Innes-Brown, Hamish
name: Joshua, Nicole R.
name: Rossell, Susan
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 320221
subject: Psychiatry (incl. psychotherapy)

description: Background: Face processing impairment in schizophrenia appears to be underpinned by poor configural (as opposed to feature-based) processing, however few studies have sought to characterize this impairment electrophysiologically. Given the sensitivity of event-related potentials (ERPs) to antipsychotic medications, and the potential for neurophysiological abnormalities to serve as vulnerability markers for schizophrenia, a handful of studies have investigated early visual P100 and face-selective N170 in 'at risk' populations. However, this is the first known neurophysiological investigation of configural face processing in a non-clinical schizotypal sample. Methods: Using stimuli designed to engage configural processing in face perception (upright and inverted Mooney and photographic faces), P100 and N170 components were recorded in healthy individuals characterized by high (N=14) and low (N=14) schizotypal traits according to the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE). Results: High schizotypes showed significantly reduced N170 amplitudes to inverted photographic faces. Typical N170 latency and amplitude inversion effects (delayed and enhanced N170 to inverted relative to upright photographic faces, and enhanced amplitude to upright versus inverted Mooney faces), were demonstrated by low, but not high, schizotypes. No group differences were shown for P100 analyses. Conclusions: The findings suggest that neurophysiological deficits in processing facial configurations (N170) are apparent in schizotypy, while the early sensory processing (P100) of faces appears intact. This work adds to the mounting evidence for analogous neural processing anomalies at the healthy end of the psychosis continuum.
Hubungan Antara Motivasi Berprestasi Dan Kebiasaan Belajar Terhadap Prestasi Belajar Fisika
Creators: name: Achmad, R I
name: Mujasam
name: YUsuf, Irfan
name: Widyaningsih, S.W.
Publisher: name: Zenodo
Year: 2017
Subjects: Motivasi Berprestasi, Kebiasaan Belajar, dan Prestasi Belajar

description: Tujuan penelitian ini adalah: (1) Untuk mengetahui hubungan antara motivasi berprestasi terhadap

prestasi belajar fisika, (2) Untuk mengetahui hubungan antara kebiasaan belajar terhadap prestasi

belajar fisika (3) Untuk mengetahui hubungan antara motivasi berprestasi dan kebiasaan belajar

terhadap prestasi belajar fisika peserta didik SMP Negeri 7 Prafi. Penelitian ini merupakan penelitian

kuantitatif komparatif sehingga data dianalisa untuk mendeskripsikan hubungan antara motivasi

berprestasi dan kebiasaan belajar terhadap prestasi belajar fisika peserta didik. Data penelitian dianalisis

dengan menggunakan regresi linier sederhana dan analisis regresi ganda. Berdasarkan hasil penelitian

menunjukkan bahwa: (1) “Ada hubungan yang signifikan antara motivasi berprestasi terhadap prestasi

belajar”. Hal ini ditunjukan dengan hasil penelitian diperoleh rs hitung > rs tabel yaitu 0,595 > 0,396,

dan besarnya sumbangan motivasi berprestasi terhadap prestasi belajar peserta didik sebesar 33,1%. (2)

“Ada hubungan yang signifikan antara kebiasaan belajar terhadap prestasi belajar”. hal ini ditunjukan

dengan hasil penelitian diperoleh rs hitung > rs tabel yaitu 0,423 > 0,396 dan besarnya sumbangan

kebiasaan belajar terhadap prestasi belajar peserta didik sebesar 16,2%. (3) “Ada hubungan yang

signifikan antara motivasi berprestasi dan kebiasaan belajar terhadap prestasi belajar”. hal ini

ditunjukan dengan hasil penelitian diperoleh rs hitung > rs tabel untuk uji regresi berganda didapat

koefisien korelasi sebesar 0,609 lebih besar dari rs tabel yaitu 0,396 dan besarnya sumbangan motivasi

berprestasi dan kebiasaan belajar secara bersama-sama terhadap prestasi belajar peserta didik sebesar

37,1% Artinya, ada hubungan yang positif antara motivasi berprestasi dan kebiasaan belajar secara

bersama-sama terhadap prestasi belajar fisika peserta didik.
Coelioxys (Coelioxys) sodalis Cresson 1878
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Coelioxys
Coelioxys sodalis

description: Coelioxys (Coelioxys) sodalis Cresson 1878
County records: Alger, Cheboygan, Delta, Dickinson, Ingham, Kalamazoo, Keweenaw, Manistee, Marquette, Midland, Wayne.
Notes. Hosts include Megachile melanophaea (Graenicher 1927a, 1935; Pengelly 1955), M. mucida (Gibbs 2017), M. frigida and M. texana (Pengelly 1955), and possibly M. rotundata (Hobbs 1968). Coelioxys sodalis is now considered the only Nearctic member of the subgenus Coelioxys (Rocha Filho & Packer 2016).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 104, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
Quantum matching pursuit: A quantum algorithm for sparse representations
Creators: name: Bellante, Armando
name: Zanero, Stefano
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Representing signals with sparse vectors has a wide range of applications that range from image and video coding to shape representation and health monitoring. In many applications with real-time requirements, or that deal with high-dimensional signals, the computational complexity of the encoder that finds the sparse representation plays an important role. Quantum computing has recently shown promising speed-ups in many representation learning tasks. In this work, we propose a quantum version of the well-known matching pursuit algorithm. Assuming the availability of a fault-tolerant quantum random access memory, our quantum matching pursuit lowers the complexity of its classical counterpart of a polynomial factor, at the cost of some error in the computation of the inner products, enabling the computation of sparse representation of high-dimensional signals. Besides proving the computational complexity of our new algorithm, we provide numerical experiments that show that its error is negligible in practice. This work opens the path to further research on quantum algorithms for finding sparse representations, showing suitable quantum computing applications in signal processing.
The stellar accretion origin of stellar population gradients in massive galaxies at large radii
Creators: name: Hirschmann, Michaela
name: Naab, Thorsten
name: Ostriker, Jeremiah P.
name: Forbes, Duncan
name: Duc, P.-A.
name: Davé, Romeel
name: Oser, Ludwig
name: Karabal, Emin
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 510103
subject: Cosmology and extragalactic astronomy

description: We investigate the evolution of stellar population gradients from z = 2 to z = 0 in massive galaxies at large radii (r > 2Reff) using ten cosmological zoom simulations of halos with 6 × 1012M⊙ < Mhalo < 2 × 1013M⊙. The simulations follow metal cooling and enrichment from SNII, SNIa and AGB winds. We explore the differential impact of an empirical model for galactic winds that reproduces the mass-metallicity relation and its evolution with redshift. At larger radii the galaxies, for both models, become more dominated by stars accreted from satellite galaxies in major and minor mergers. In the wind model, fewer stars are accreted, but they are significantly more metal poor resulting in steep global metallicity (h∇Zstarsi = −0.35 dex/dex) and color (e.g. h∇g − ri = −0.13 dex/dex) gradients in agreement with observations. In contrast, colour and metallicity gradients of the models without winds are inconsistent with observations. Age gradients are in general mildly positive at z = 0 (h∇Agestarsi = 0.04 dex/dex) with significant differences between the models at higher redshift. We demonstrate that for the wind model, stellar accretion is steepening existing in-situ metallicity gradients by about 0.2 dex by the present day and helps to match observed gradients of massive early-type galaxies at large radii. Colour and metallicity gradients are significantly steeper for systems which have accreted stars in minor mergers, while galaxies with major mergers have relatively flat gradients, confirming previous results. The effect of stellar migration of in-situ formed stars to large radii is discussed. This study highlights the importance of stellar accretion for stellar population properties of massive galaxies at large radii, which can provide important constraints for formation models.
Effect of nitric oxide (NO) on the induction of callus and antioxidant capacity of Hyoscyamus niger under in vitro salt stress
Creators: name: Samsampour, Davood
name: Sadeghi, Fatemeh
name: Asadi, Mohammad
name: Ebrahimzadeh, Atiye
Publisher: name: Journal of Applied Botany and Food Quality
Year: 2018

description: Generation of reactive oxygen species (ROS) under salt stress can cause oxidative damage. Nitric oxide (NO) is considered as a functional molecule in alleviating the oxidative damage of salinity to plants through modulating antioxidant metabolism. In the present study, effects of sodium nitroprusside (SNP), a NO donor, on induction of callus and seed germination, and antioxidant capacity of Hyoscyamus niger seedlings were studied under 0, 50, 100 and 150 mM NaCl stress. NO stimulated the germination of NaCl-treated seeds. NaCl treatment significantly induced accumulation of H2O2 and thiobarbituric acid-reactive substances (TBARS) in Hyoscyamus niger, and application of 100 μM SNP stimulated ROS-scavenging enzymes and increased scavenging activity (DPPH), hydroxyl radical (OH•) scavenging activity and chelating activity of ferrous ions, resulting in lower lipid peroxidation induced by NaCl stress. Therefore, it can be concluded that the increased antioxidant capacity by NO might be responsible for its function in alleviating the inhibition of Hyoscyamus niger growth and cell damage by salt stress. Also the effect of SNP on the induction of callus of Hyoscyamus niger was investigated. Callus fresh weight increased significantly in the combined effect of 50 μM SNP with other plant growth regulators (PGR) compared to control. It is evident that SNP has a direct effect on the induction of callus by interacting with cytokinins and auxins.
description: Journal of Applied Botany and Food Quality, Vol 91 (2018): Journal of Applied Botany and Food Quality
Cyrtocoelioxys Mitchell
Creators: name: Gibbs, Jason
name: Ascher, John S.
name: Rightmyer, Molly G.
name: Isaacs, Rufus
Publisher: name: Zenodo
Year: 2017
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Hymenoptera
Megachilidae
Cyrtocoelioxys

description: Subgenus Cyrtocoelioxys Mitchell
Key: Baker (1975).
description: Published as part of Gibbs, Jason, Ascher, John S., Rightmyer, Molly G. & Isaacs, Rufus, 2017, The bees of Michigan (Hymenoptera: Apoidea: Anthophila), with notes on distribution, taxonomy, pollination, and natural history, pp. 1-160 in Zootaxa 4352 (1) on page 104, DOI: 10.11646/zootaxa.4352.1.1, http://zenodo.org/record/1063854
Three-component topological superfluid in one-dimensional Fermi gases with spin-orbit coupling
Creators: name: Chen, Jue
name: Hu, Hui
name: Xianlong, Gao
Publisher: name: Swinburne
Year: 2024
Subjects: classificationCode: 5108
subject: Quantum physics

description: We theoretically investigate one-dimensional three-component spin-orbit-coupled Fermi gases in the presence of the Zeeman field. By solving the Bogoliubov-de Gennes equations, we obtain the phase diagram at a given chemical potential and order parameter. We show that, with increasing the intensity of the Zeeman field, in addition to undergoing a phase transition from Bardeen-Cooper-Schrieffer (BCS) superfluid to topological superfluid, similar to the two-component system, the three-component system may exhibit some other interesting topological phase transitions. For example, by appropriately adjusting the chemical potential mu, the system can be in a nontrivial topological superfluid in the whole region of the Zeeman field h. It also may initially be a topological superfluid and then translate to a topologically trivial BCS superfluid with increasing the field h. Even more exotically, the system may exhibit a re-entrance behavior, being a topological superfluid at small and large fields but a topologically trivial BCS superfluid in between at a mediate Zeeman field. It can therefore have two regions with zero-energy Majorana fermions. As a consequence of these interesting topological phase transitions, the system of the three-component spin-orbit-coupled Fermi gases in a certain parameter range is more optimizing for the experimental realization of the topological phase due to the smaller magnetic field needed. Thus, a promising candidate for the realization of the topological phase is proposed.
Detection of the third innermost radiation belt on LEO CORONAS-Photon satellite around 2009 solar minimum
Creators: name: Dudnik, Oleksiy V.
name: Sylwester, Janusz
name: Kowalinski, Miroslaw
name: Podgorski, Piotr
name: Phillips, Kenneth J. H.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Space Physics (physics.space-ph)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We analyze variations of high-energy charged particle populations filling various magnetospheric regions under, inside, and outside of the Van Allen inner and outer electron radiation belts in May 2009. The study is based on the experimental data obtained from the STEP-F and the SphinX instruments placed close to each other aboard the low-Earth circular orbit CORONAS-Photon satellite. Data analysis of particle fluencies collected from the highly sensitive STEP-F device indicates the presence of a persistent electron belt at L = 1.6, i.e., beneath the well-known Van Allen electron inner radiation belt of the Earth's magnetosphere. The electron energy spectrum in this 'new' belt is much steeper than that of the inner belt so that the electrons with energies Ee > 400 keV were almost not recorded on L = 1.6 outside the South Atlantic Anomaly (SAA). We introduce the concept of effective lowest threshold energies for X-ray detectors used in the solar soft X-ray spectrophotometer SphinX and define their values for two regions: the SAA and the Van Allen outer belt. Different values of lowest threshold energies are directly associated with different slopes of particle energy spectra. Cross-analyses of data obtained from the STEP-F and SphinX instruments initially built for various purposes made it possible to detect the highly anisotropic character of the spatial electron distribution in radiation belts in both Southern and northern hemispheres. We detected also the presence of low-energy electrons at all latitudes during the main phase of a weak geomagnetic storm.
description: Advances in Space Research, in press, 17 pages, 9 figures, 1 table