cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
On upper conical density results
Creators: name: Käenmäki, Antti
Publisher: name: arXiv
Year: 2017
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics

description: We report a recent developement on the theory of upper conical densities. More precicely, we look at what can be said in this respect for other measures than just the Hausdorff measure. We illustrate the methods involved by proving a result for the packing measure and for a purely unrectifiable doubling measure.
description: Fixed broken citation
Information sur le calemet : fabrication et usage
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Light enhancement by quasi-bound states in the continuum in dielectric arrays
Creators: name: Bulgakov, Evgeny N.
name: Maksimov, Dmitrii N.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: The article reports on light enhancement by structural resonances in linear periodic arrays of identical dielectric elements. As the basic elements both spheres and rods with circular cross section have been considered. In either case, it has been demonstrated that high-$Q$ structural resonant modes originated from bound states in the continuum enable near-field amplitude enhancement by factor of $10$--$25$ in the red-to-near infrared range in lossy silicon. The asymptotic behavior of the $Q$-factor with the number of elements in the array is explained theoretically by analyzing quasi-bound states propagation bands.
Additional file 1 of Venous blood sampling for less invasive in vivo quantification of synaptic density with constant infusion of [18F]SynVesT-1 and PET
Creators: name: Asch, Ruth H.
name: Naganawa, Mika
name: Moisieienko, Karina
name: Weed, Mia
name: Kapinos, Michael
name: Zheng, Ming-Qiang
name: Hillmer, Ansel T.
name: Carson, Richard E.
name: Pietrzak, Robert H.
name: Esterlis, Irina
Publisher: name: figshare
Year: 2025
Subjects: Space Science
Physical Sciences not elsewhere classified
Medicine
Molecular Biology
Neuroscience
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Marine Biology

description: Supplementary Material 1
Invisible Trojan-horse attack
Creators: name: Sajeed, Shihan
name: Minshull, Carter
name: Jain, Nitin
name: Makarov, Vadim
Publisher: name: arXiv
Year: 2017
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We demonstrate the experimental feasibility of a Trojan-horse attack that remains nearly invisible to the single-photon detectors employed in practical quantum key distribution (QKD) systems, such as Clavis2 from ID Quantique. We perform a detailed numerical comparison of the attack performance against Scarani-Acin-Ribordy-Gisin (SARG04) QKD protocol at 1924nm versus that at 1536nm. The attack strategy was proposed earlier but found to be unsuccessful at the latter wavelength, as reported in N.~Jain et al., New J. Phys. 16, 123030 (2014). However at 1924nm, we show experimentally that the noise response of the detectors to bright pulses is greatly reduced, and show by modeling that the same attack will succeed. The invisible nature of the attack poses a threat to the security of practical QKD if proper countermeasures are not adopted.
description: 8 pages, 3 figures, due to problem in the compilation of bibliography, we are uploading a corrected version
ADP-induced platelet reactivity and bleeding events in patients with acute myocardial infarction complicated by cardiogenic shock
Creators: name: Scherer, Clemens
name: Lüsebrink, Enzo
name: Kupka, Danny
name: Stocker, Thomas J.
name: Stark, Konstantin
name: Kleeberger, Jan
name: Orban, Mathias
name: Kellnar, Antonia
name: Petzold, Tobias
name: Deseive, Simon
name: Krieg, Kathrin
name: Würbel, Sara
name: Kika, Sara
name: Istrefi, Mario
name: Brunner, Stefan
name: Braun, Daniel
name: Hagl, Christian
name: Hausleiter, Jörg
name: Massberg, Steffen
name: Sibbing, Dirk
name: Orban, Martin
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Space Science
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: While previous reports showed ADP-induced platelet reactivity to be an independent predictor of bleeding after PCI in stable patients, this has never been investigated in patients with cardiogenic shock. The association of bleeding events with respect to ADP-induced platelet aggregation was investigated in patients undergoing primary PCI for acute myocardial infarction complicated by cardiogenic shock and with available on-treatment ADP-induced platelet aggregation measurements. Out of 233 patients, 74 suffered from a severe BARC3 or higher bleed. ADP-induced platelet aggregation was significantly lower in patients with BARC≥3 bleedings (p < .001). Multivariate analysis identified on-treatment ADP-induced platelet aggregation as an independent risk factor for bleeding (HR = 0.968 per AU). An optimal cutoff value of <12 AU for ADP-induced platelet aggregation to predict BARC≥3 bleedings was identified via ROC analysis. Moreover, the use of VA-ECMO (HR 1.972) or coaxial left ventricular pump (HR 2.593), first lactate (HR 1.093 per mmol/l) and thrombocyte count (HR 0.994 per G/l) were independent predictors of BARC≥3 bleedings. In conclusion, lower on-treatment ADP-induced platelet aggregation was independently associated with severe bleeding events in patients with AMI-CS. The value of platelet function testing for bleeding risk prediction and guidance of anti-thrombotic treatment in cardiogenic shock warrants further investigation.
Phase-Resolved Two-Dimensional Spectroscopy of Electronic Wavepackets by Laser-Induced XUV Free Induction Decay
Creators: name: Beaulieu, Samuel
name: Bloch, Etienne
name: Barreau, Lou
name: Comby, Antoine
name: Descamps, Dominique
name: Géneaux, Romain
name: Légaré, Francois
name: Petit, Stéphane
name: Mairesse, Yann
Publisher: name: arXiv
Year: 2017
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: We present a novel time- and phase-resolved, background-free scheme to study the extreme ultraviolet dipole emission of a bound electronic wavepacket, without the use of any extreme ultraviolet exciting pulse. Using multiphoton transitions, we populate a superposition of quantum states which coherently emit extreme ultraviolet radiation through free induction decay. This emission is probed and controlled, both in amplitude and phase, by a time-delayed infrared femtosecond pulse. We directly measure the laser-induced dephasing of the emission by using a simple heterodyne detection scheme based on two-source interferometry. This technique provides rich information about the interplay between the laser field and the Coulombic potential on the excited electron dynamics. Its background-free nature enables us to use a large range of gas pressures and to reveal the influence of collisions in the relaxation process.
description: In press, PRA Rapid Communications
Ultra-long charge carrier recombination time in methylammonium lead halide perovskites
Creators: name: Bojtor, A.
name: Kollarics, S.
name: Markus, B. G.
name: Sienkiewicz, A.
name: Kollar, M.
name: Forro, L.
name: Simon, F.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Due to their exceptional photovoltaic properties, metal halide perovskites (MHPs) are extensively studied for their potential applications in solar cells. In recent years, the power conversion efficiencies of MHPs-based solar cells rapidly increased from the initial few \% towards more than 25\,\% for single-junction devices. Therefore, also taking into account their low costs and ease of manufacturing, MHPs-based solar cells have become the fastest-advancing photovoltaic technology. In this regard, much of the recent work has been dominated by absorber materials based on methylammonium MHPs, such as MAPbX$_3$, where MA=CH$_3$NH$_3$ and X=Cl, Br and I. Here, we present the results of contactless time-resolved photoconductivity measurements in an exceptionally wide range of temperatures of $4$ to $290\ \text{K}$ that were performed for the various crystalline forms of the three parent MAPbX$_3$, i.e., MAPbCl$_3$, MAPbBr$_3$ and MAPbI$_3$. This approach was made possible by the use of a high quality-factor (Q) microwave resonator, which cooperated with a commercially available microwave bridge equipped with an automatic frequency control (AFC) and a helium gas-flow cryostat.
description: Preprint version, 27 pages, 6 figures. ACS Photonics 2022
A scientists' view of scientometrics: Not everything that counts can be counted
Creators: name: Kenna, R.
name: Mryglod, O.
name: Berche, B.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Digital Libraries (cs.DL)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Like it or not, attempts to evaluate and monitor the quality of academic research have become increasingly prevalent worldwide. Performance reviews range from at the level of individuals, through research groups and departments, to entire universities. Many of these are informed by, or functions of, simple scientometric indicators and the results of such exercises impact onto careers, funding and prestige. However, there is sometimes a failure to appreciate that scientometrics are, at best, very blunt instruments and their incorrect usage can be misleading. Rather than accepting the rise and fall of individuals and institutions on the basis of such imprecise measures, calls have been made for indicators be regularly scrutinised and for improvements to the evidence base in this area. It is thus incumbent upon the scientific community, especially the physics, complexity-science and scientometrics communities, to scrutinise metric indicators. Here, we review recent attempts to do this and show that some metrics in widespread use cannot be used as reliable indicators research quality.
description: 10 pages, 1 figure
Digitalization of Pharmaceutical Cold Chain Systems using IoT Digital Enabler
Creators: name: SHASHI, MANISH
Publisher: name: figshare
Year: 2022
Subjects: Machine learning not elsewhere classified

description: Compared to the other classic supply chain, the pharmaceutical supply chain has many critical challenges, such as cold chain transportation, temperature monitoring, long lead time, and counterfeiting prevention. Pharmaceutical products, such as medicines, drugs, vaccines, and specialty treatments, work as intended within a specific specified temperature. Below +25°C (controlled temperature), +2°C to +8°C (temperature-sensitive products), -20 °C to -40 °C (negative temperature), and -70 °C (ultra-low temperature) are some of the precise and regulated storage thresholds for various types of pharmaceutical products. The cold chain includes production, transport, and storage. It requires a reliable infrastructure to maintain a precise temperature when transporting from manufacturers to patients. This multiple qualitative case study aimed to investigate the role of the Internet of Things (IoT) in the pharmaceutical cold chain. The study involved interviewing various pharmaceutical managers with proven digital strategies for implementing IoT-based digital enablers. The theory of constraint was used as the conceptual framework for this qualitative multiple case study. Data from interviews and supporting documents were analyzed using data triangulation to discover themes. Two main themes emerged from data analysis: (a) Known or unknown constraints in the current cold chain system and (b) implementation of IoT-based digital enablers. Six key strategies were developed pertain to these two themes.
Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors
Creators: name: Evin, Inan
name: Hämäläinen, Perttu
name: Guckelsberger, Christian
Publisher: name: arXiv
Year: 2022
Subjects: subject: Human-Computer Interaction (cs.HC)
subject: Artificial Intelligence (cs.AI)
subject: Multimedia (cs.MM)
subject: FOS: Computer and information sciences

description: Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack. While AI has been leveraged to semi-automate cutscene production, the results typically lack the internal consistency and uniformity in style that is characteristic of professional human directors. We overcome this shortcoming with Cine-AI, an open-source procedural cinematography toolset capable of generating in-game cutscenes in the style of eminent human directors. Implemented in the popular game engine Unity, Cine-AI features a novel timeline and storyboard interface for design-time manipulation, combined with runtime cinematography automation. Via two user studies, each employing quantitative and qualitative measures, we demonstrate that Cine-AI generates cutscenes that people correctly associate with a target director, while providing above-average usability. Our director imitation dataset is publicly available, and can be extended by users and film enthusiasts.
description: 23 pages, 6 figures, 4 tables. In Proceedings ACM Human-Computer Interaction, Vol. 6, CHIPLAY, Article 223. Publication date: October 2022
Bio-adsorption performances of methylene blue (MB) dye on terrestrial and marine natural fibers: Effect of physicochemical properties, kinetic models and thermodynamic parameters
Creators: name: Kasbaji, Meriem
name: Mennani, Mehdi
name: Boussetta, Abdelghani
name: Grimi, Nabil
name: Barba, Francisco J.
name: Mbarki, Mohamed
name: Moubarik, Amine
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Physiology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry

description: Biomass residues and algal wastes were used for the first time to produce new efficient adsorbents from lignocellulosic powders from Solanum elaeagnifolium Cavanilles (SE. Cav) and Gelidium elegans (G. elegans), respectively, for the efficient removal of methylene blue (MB) dye in aqueous systems. The physicochemical features and the efficiency of the bio-sorbents were successfully characterized by FTIR, XRD, TGA/DTG, BET, SEM and isoelectric point (pHpzc) tests. The results indicate that both bio-adsorbents have an overall surface acid due to the occurrence of hydroxyl and carboxylic groups, which directly impact the binding of cationic molecules to the surface. SE. Cav showed an ultimate monolayer absorbency of 50.607 mg/g at neutral pH (6.8) and room temperature (24°C). However, under the same conditions, G. elegans exhibited a higher value (76.689 mg/g). The adsorption kinetics indicates that both materials fit the pseudo-second-order (PSO) model as the correlation factors are quite near to unity. The parameters obtained from the equilibrium data showed that the experimental results fit well with the Langmuir, Freundlich, Redlich-Peterson and Sips isotherms for both bio-adsorbents. Moreover, the thermodynamic parameters suggest that the MB adsorption process for the two materials was exothermic and spontaneous.
Improving Tourist Experience Through an IoT Application Based on FatBeacons
Creators: name: Lodeiro-Santiago, Moisés
name: Caballero-Gil, Pino
name: Caballero-Gil, Cándido
name: Priano, Félix Herrera
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: This paper describes the use of a new extension of the Bluetooth connection protocol, called FatBeacon, which faces the problem of obtaining information where no Internet connection is available. Rather than advertising a URL to load a web page, the FatBeacon protocol has the ability to broadcast any basic web contents actually hosted on the device. In particular, FatBeacons are here used to improve the tourist experience in places with no Internet coverage through a new application of the Internet of Things (IoT). Thanks to the fact that the web content is emitted by the own FatBeacon, any smartphone with Bluetooth Low Energy (BLE) can be used to receive touristic information, even in uncovered areas, such as rural or mountain destinations. This work does not only show the applicability of the new FatBeacon protocol, but it also presents a performance comparison of different BLE technologies used for similar touristic applications.
Surfactin as an alternative microbial collector to oleate in magnesite-quartz selective flotation
Creators: name: Koca, Sabiha
name: Aksoy, Derya
name: Ozdemir, Serhat
name: Çelik, Pınar Aytar
name: Çabuk, Ahmet
name: Koca, Hüseyin
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: The interactions of some microorganisms and microbial metabolites with the mineral surface are still being studied thanks to biotechnological advances. Studies on the usability of such microorganisms and metabolites in flotation are gradually increasing due to their potential to be eco-friendlier and more cost-effective alternatives. The primary goal of this research was to compare the ability of surfactin for magnesite-quartz separation as a collector in selective magnesite bioflotation to the results of classical flotation using oleate. In the experimental study, statistical experimental design methods were used. Mathematical models of the processes were created and also Gaudin selectivity indexes were calculated for both reagents. The feed, which contains approximately 19.70% SiO2, was cleaned with surfactin through one-stage magnesite flotation, reducing the silicate content to as low as 4.77%. Moreover, the efficiency and selectivity of magnesite flotation are retained by using surfactin even at high collector amounts and relatively low temperatures, unlike oleate. The novelty of this study was to determine the surfactin’s applicability in magnesite-quartz separation in selective magnesite bioflotation. Bioflotation studies have shown that magnesite can be selectively floated from an ore containing magnesite and quartz. Considering that the feed contains approximately 19.7% SiO2, the ore was cleaned four times with surfactin using one-stage magnesite bioflotation, and the silicate content was reduced to as low as 4.77%.
Cosmic microwave background constraints on secret interactions among sterile neutrinos
Creators: name: Forastieri, Francesco
name: Lattanzi, Massimiliano
name: Mangano, Gianpiero
name: Mirizzi, Alessandro
name: Natoli, Paolo
name: Saviano, Ninetta
Publisher: name: arXiv
Year: 2017
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Secret contact interactions among eV sterile neutrinos, mediated by a massive gauge boson $X$ (with $M_X \ll M_W$), and characterized by a gauge coupling $g_X$, have been proposed as a mean to reconcile cosmological observations and short-baseline laboratory anomalies. We constrain this scenario using the latest Planck data on Cosmic Microwave Background anisotropies, and measurements of baryon acoustic oscillations (BAO). We consistently include the effect of secret interactions on cosmological perturbations, namely the increased density and pressure fluctuations in the neutrino fluid, and still find a severe tension between the secret interaction framework and cosmology. In fact, taking into account neutrino scattering via secret interactions, we derive our own mass bound on sterile neutrinos and find (at 95% CL) $m_s < 0.82$ eV or $m_s < 0.29$ eV from Planck alone or in combination with BAO, respectively. These limits confirm the discrepancy with the laboratory anomalies. Moreover, we constrain, in the limit of contact interaction, the effective strength $G_X$ to be $ < 2.8 (2.0) \times 10^{10}\,G_F$ from Planck (Planck+BAO). This result, together with the mass bound, strongly disfavours the region with $M_X \sim 0.1$ MeV and relatively large coupling $g_X\sim 10^{-1}$, previously indicated as a possible solution to the small scale dark matter problem.
description: 15 pages, 3 figures, 4 tables
Synaptic transmission as a cooperative phenomenon in confined systems
Creators: name: Chalyi, A. V.
name: Vasilev, A. N.
name: Zaitseva, E. V.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Biological Physics (physics.bio-ph)
subject: FOS: Physical sciences

description: In this review paper, the theory of synaptic transmission (ST) was developed and discussed. We used the hypothesis of isomorphism between: (a) the cooperative behavior of mediators --- acetylcholine molecules (ACh) and cholinoreceptors in a synaptic cleft with binding into mediator-receptor (AChR) complexes, (b) the critical phenomena in confined binary liquid mixtures. The systems of two (or three) nonlinear differential equations were proposed to find the change of concentrations of ACh, AChR complexes, and ferment acetylcholinesterase. The main findings of our study: the linear size of the activation zone was evaluated; the process of postsynaptic membrane activation was described as a cooperative process; different approximations of ACh synchronous release were examined; stationary states and types of singular points were studied for the proposed models of ST; the nonlinear kinetic model with three order parameters demonstrated a strange-attractor behavior.
description: 12 pages, 1 figure
Information sur la guitare (guimbarde)
Creators: name: Musée National Des Arts Et Traditions Populaires (Paris)
name: Centre D'ethnologie Française
Publisher: name: École des Hautes Études en Sciences Sociales; Institut  interdisciplinaire d'anthropologie du contemporain (Paris); Laboratoire d'anthropologie et d'histoire de l'institution de la culture (Paris)
Year: 2022

Abstract
Individual project on theme "Cricetulus Milne-Edwards, 1867" (MOOC: CompTech in biology)
Creators: name: Shishkina Natalia
Publisher: name: Zenodo
Year: 2023

description: Данный кейс является результатом реализации индивидуального проекта Шишкиной Натальи по теме "Cricetulus Milne-Edwards, 1867" в рамках онлайн курса "Компьютерные технологии в биологии" (автор – А.В. Ваганов) (https://stepik.org/course/60859/promo)
When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum
Creators: name: Van De Ville, Dimitri
name: Demesmaeker, Robin
name: Preti, Maria Giulia
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The study of complex systems benefits from graph models and their analysis. In particular, the eigendecomposition of the graph Laplacian lets emerge properties of global organization from local interactions; e.g., the Fiedler vector has the smallest non-zero eigenvalue and plays a key role for graph clustering. Graph signal processing focusses on the analysis of signals that are attributed to the graph nodes. The eigendecomposition of the graph Laplacian allows to define the graph Fourier transform and extend conventional signal-processing operations to graphs. Here, we introduce the design of Slepian graph signals, by maximizing energy concentration in a predefined subgraph for a graph spectral bandlimit. We establish a novel link with classical Laplacian embedding and graph clustering, which provides a meaning to localized graph frequencies.
description: 4 pages, 5 figures, submitted to IEEE Signal Processing Letters
Assessing the Unitary RNN as an End-to-End Compositional Model of Syntax
Creators: name: Bernardy, Jean-Philippe
name: Lappin, Shalom
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: FOS: Computer and information sciences

description: We show that both an LSTM and a unitary-evolution recurrent neural network (URN) can achieve encouraging accuracy on two types of syntactic patterns: context-free long distance agreement, and mildly context-sensitive cross serial dependencies. This work extends recent experiments on deeply nested context-free long distance dependencies, with similar results. URNs differ from LSTMs in that they avoid non-linear activation functions, and they apply matrix multiplication to word embeddings encoded as unitary matrices. This permits them to retain all information in the processing of an input string over arbitrary distances. It also causes them to satisfy strict compositionality. URNs constitute a significant advance in the search for explainable models in deep learning applied to NLP.
description: In Proceedings E2ECOMPVEC, arXiv:2208.05313
SU(3) sphaleron: Numerical solution
Creators: name: Klinkhamer, F. R.
name: Nagel, P.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We complete the construction of the sphaleron $\widehat{S}$ in $SU(3)$ Yang-Mills-Higgs theory with a single Higgs triplet by solving the reduced field equations numerically. The energy of the $SU(3)$ sphaleron $\widehat{S}$ is found to be of the same order as the energy of a previously known solution, the embedded $SU(2)\times U(1)$ sphaleron $S$. In addition, we discuss $\widehat{S}$ in an extended $SU(3)$ Yang-Mills-Higgs theory with three Higgs triplets, where all eight gauge bosons get an equal mass in the vacuum. This extended $SU(3)$ Yang-Mills-Higgs theory may be considered as a toy model of quantum chromodynamics without quark fields and we conjecture that the $\widehat{S}$ gauge fields play a significant role in the nonperturbative dynamics of quantum chromodynamics (which does not have fundamental scalar fields but gets a mass scale from quantum effects).
description: 36 pages, 6 figures, v5: published version
Fast remote homology detection and structural alignment using deep learning
Creators: name: Tymor
name: , James
Publisher: name: Zenodo
Year: 2023
Subjects: protein
sequence alignment
structural alignment
differentiable dynamic programming

description: Exploiting sequence-structure-function relationships in molecular biology and computational modeling relies on detecting proteins with high sequence similarities. However, the most commonly used sequence alignment-based methods, such as BLAST, frequently fail on proteins with low sequence similarity to previously annotated proteins. We developed two deep learning methods to address this gap, TM-Vec and DeepBLAST. TM-Vec allows searching for structure-structure similarities in large sequence databases. It is trained to accurately predict TM-scores as a metric of structural similarity directly from sequence pairs without the need for intermediate computation or solution of structures. For remote homologs (sequence similarity <10%) that are highly structurally similar (TM-score >0.6), we predict TM-scores within 0.026 of their value computed by TM-align. Once structurally similar proteins are identified, DeepBLAST can structurally align proteins using only sequence information by identifying structurally homologous regions between proteins. DeepBLAST is an end-to-end differentiable alignment algorithm. It outperforms traditional sequence alignment methods and performs similar to structure-based alignment methods. We show the merits of TM-vec and DeepBLAST on the CATH, SwissProt, Malidup, Malisam and the BAGEL datasets, showcasing its ability to quickly and accurately identify remotely homologous proteins better than state-of-the-art sequence alignment and structure prediction methods.
A Model of Anaphoric Ambiguities using Sheaf Theoretic Quantum-like Contextuality and BERT
Creators: name: Lo, Kin Ian
name: Sadrzadeh, Mehrnoosh
name: Mansfield, Shane
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: Neural and Evolutionary Computing (cs.NE)
subject: FOS: Computer and information sciences

description: Ambiguities of natural language do not preclude us from using it and context helps in getting ideas across. They, nonetheless, pose a key challenge to the development of competent machines to understand natural language and use it as humans do. Contextuality is an unparalleled phenomenon in quantum mechanics, where different mathematical formalisms have been put forwards to understand and reason about it. In this paper, we construct a schema for anaphoric ambiguities that exhibits quantum-like contextuality. We use a recently developed criterion of sheaf-theoretic contextuality that is applicable to signalling models. We then take advantage of the neural word embedding engine BERT to instantiate the schema to natural language examples and extract probability distributions for the instances. As a result, plenty of sheaf-contextual examples were discovered in the natural language corpora BERT utilises. Our hope is that these examples will pave the way for future research and for finding ways to extend applications of quantum computing to natural language processing.
description: In Proceedings E2ECOMPVEC, arXiv:2208.05313
Plasmonic edge states: an electrostatic eigenmode description
Creators: name: Gomez, Daniel E.
name: Hwang, Yongsop
name: Lin, Jiao
name: Davis, Timothy J.
name: Roberts, Ann
Publisher: name: arXiv
Year: 2017
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We consider periodic arrangements of metal nanostructures and study the effect of periodicity on the localised surface plasmon resonance of the structures within an electrostatic eigenmode approximation. We show that within this limit, the collective surface plasmon resonances of the periodic structures can be expressed in terms of superpositions of the eigenmodes of uncoupled nanostructures that exhibit a standing--wave character delocalised across the entire periodic structure. The formalism derived successfully enables the design and accounts for the observation of plasmonic edge-states in periodic structures.
Word-Embeddings Distinguish Denominal and Root-Derived Verbs in Semitic
Creators: name: Benbaji, Ido
name: Doron, Omri
name: Hénot-Mortier, Adèle
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Proponents of the Distributed Morphology framework have posited the existence of two levels of morphological word formation: a lower one, leading to loose input-output semantic relationships; and an upper one, leading to tight input-output semantic relationships. In this work, we propose to test the validity of this assumption in the context of Hebrew word embeddings. If the two-level hypothesis is borne out, we expect state-of-the-art Hebrew word embeddings to encode (1) a noun, (2) a denominal derived from it (via an upper-level operation), and (3) a verb related to the noun (via a lower-level operation on the noun's root), in such a way that the denominal (2) should be closer in the embedding space to the noun (1) than the related verb (3) is to the same noun (1). We report that this hypothesis is verified by four embedding models of Hebrew: fastText, GloVe, Word2Vec and AlephBERT. This suggests that word embedding models are able to capture complex and fine-grained semantic properties that are morphologically motivated.
description: In Proceedings E2ECOMPVEC, arXiv:2208.05313
Prevention of Atrial Fibrillation after Coronary Artery Bypass Grafting Surgery using Tocotrienol-rich Vitamin E (Tocovid) derived from Palm Oil
Creators: name: MUSA, AHMAD FAROUK
Publisher: name: Monash University
Year: 2022
Subjects: Surgery

description: My thesis is on the prevention of a common complication after heart bypass surgery namely a fast and irregular heart beat known as postoperative atrial fibrillation (POAF). Although several aetiological factors have been associated with this condition, the understanding now is that it was due to both inflammatory and oxidative pathways. Hence I postulated that the use of a potent anti-inflammatory and anti-oxidative agent, namely tocotrienol, which is an isomer of vitamin-E, and in abundance in palm oil; might mitigate this problem. This study was designed as a double-blind study where both the investigators and patients were blinded to treatment.
On the eigenvalues of the fermionic angular eigenfunctions in the Kerr metric
Creators: name: Batic, Davide
name: Karim, Suzan Hamad Abdul
name: Nowakowski, Marek
Publisher: name: arXiv
Year: 2022
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In view of a result recently published in the context of deformation theory of linear Hamiltonian systems, we reconsider the eigenvalue problem associated to the angular equation arising after the separation of the Dirac equation in the Kerr metric and we show how efficiently a quasi-linear first order PDE for the angular eigenvalues can be derived. We also prove that it is not possible to obtain an ordinary differential equation for the eigenvalues where the role of the independent variable is played by the particle energy or the black hole mass. Finally, we construct new perturbative expansions for the eigenvalues in the Kerr case and obtain an asymptotic formula for the eigenvalues in the case of a Kerr naked singularity.
description: 11 pages
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees
Creators: name: Soria-Comas, Jordi
name: Domingo-Ferrer, Josep
name: Sánchez, David
name: Megías, David
Publisher: name: arXiv
Year: 2016
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Differential privacy is a popular privacy model within the research community because of the strong privacy guarantee it offers, namely that the presence or absence of any individual in a data set does not significantly influence the results of analyses on the data set. However, enforcing this strict guarantee in practice significantly distorts data and/or limits data uses, thus diminishing the analytical utility of the differentially private results. In an attempt to address this shortcoming, several relaxations of differential privacy have been proposed that trade off privacy guarantees for improved data utility. In this work, we argue that the standard formalization of differential privacy is stricter than required by the intuitive privacy guarantee it seeks. In particular, the standard formalization requires indistinguishability of results between any pair of neighbor data sets, while indistinguishability between the actual data set and its neighbor data sets should be enough. This limits the data controller's ability to adjust the level of protection to the actual data, hence resulting in significant accuracy loss. In this respect, we propose individual differential privacy, an alternative differential privacy notion that offers em the same privacy guarantees as standard differential privacy to individuals (even though not to groups of individuals). This new notion allows the data controller to adjust the distortion to the actual data set, which results in less distortion and more analytical accuracy. We propose several mechanisms to attain individual differential privacy and we compare the new notion against standard differential privacy in terms of the accuracy of the analytical results.
Engineering of Neutral Excitons and Exciton Complexes in Transition Metal Dichalcogenide Monolayers through External Dielectric Screening
Creators: name: Borghardt, Sven
name: Tu, Jhih-Sian
name: Winkler, Florian
name: Schubert, Jürgen
name: Zander, Willi
name: Lesson, Kristján
name: Kardynał, Beata E.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: In order to fully exploit the potential of transition metal dichalcogenide monolayers (TMD-MLs), the well-controlled creation of atomically sharp lateral heterojunctions within these materials is highly desirable. A promising approach to create such heterojunctions is the local modulation of the electronic structure of an intrinsic TMD-ML via dielectric screening induced by its surrounding materials. For the realization of this non-invasive approach, an in-depth understanding of such dielectric effects is required. We report on the modulations of excitonic transitions in TMD-MLs through the effect of dielectric environments including low-k and high-k dielectric materials. We present absolute tuning ranges as large as 37 meV for the optical band gaps of WSe 2 and MoSe 2 MLs and relative tuning ranges on the order of 30% for the binding energies of neutral excitons in WSe 2 MLs. The findings suggest the possibility to reduce the electronic band gap of WSe 2 MLs by 120 meV, paving the way towards dielectrically defined lateral heterojunctions.
description: 11 pages + 6 pages supporting information
Secure ambient intelligence prototype for airports
Creators: name: Rodríguez-Pérez, Nayra
name: Toledo-Castro, Josué
name: Caballero-Gil, Pino
name: Santos-González, Iván
name: Hernández-Goya, Candelaria
Publisher: name: arXiv
Year: 2022
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Nowadays, many technological advances applied to the Internet of Things (IoT) make the introduction of innovative sensors aimed to deploy efficient wireless sensor networks possible. In order to improve the environment and people's lives, real time analysis of certain environmental variables may favor the reduction of health risks related to the deterioration of air quality. To this respect, the proposed system implements a particular prototype of IoT device characterized by the assembly of ambient sensors capable of measuring pollutant gases, temperature and humidity. For this purpose, Raspberry Pi and Arduino platforms are used. Several security methods are introduced to ensure the integrity of air quality data by implementing Merkle Trees on each IoT node and on the Cloud server. Besides, the authenticity of IoT devices and the confidentiality of communications are guaranteed by implementing HTTPS requests. Finally, authentication tokens are used to identify system users, and different security rules are applied to manage database operations.
Additional file 1 of How integrated knowledge translation worked to reduce federal policy barriers to the implementation of medication abortion in Canada: a realist evaluation
Creators: name: Munro, Sarah
name: Wahl, Kate
name: Dunn, Sheila
name: Devane, Courtney
name: Li, Linda C.
name: Norman, Wendy V.
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 1.
Equivalence between GLT sequences and measurable functions
Creators: name: Barbarino, Giovanni
Publisher: name: arXiv
Year: 2017
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: The theory of Generalized Locally Toeplitz (GLT) sequences of matrices has been developed in order to study the asymptotic behaviour of particular spectral distributions when the dimension of the matrices tends to infinity. A key concepts in this theory are the notion of Approximating Classes of Sequences (a.c.s.), and spectral symbols, that lead to define a metric structure on the space of matrix sequences, and provide a link with the measurable functions. In this document we prove additional results regarding theoretical aspects, such as the completeness of the matrix sequences space with respect to the metric a.c.s., and the identification of the space of GLT sequences with the space of measurable functions.
Additional file 2 of How integrated knowledge translation worked to reduce federal policy barriers to the implementation of medication abortion in Canada: a realist evaluation
Creators: name: Munro, Sarah
name: Wahl, Kate
name: Dunn, Sheila
name: Devane, Courtney
name: Li, Linda C.
name: Norman, Wendy V.
Publisher: name: figshare
Year: 2025
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Supplementary Material 2.
Chewing Detection from Commercial Smart-glasses
Creators: name: Papapanagiotou, Vasileios
name: Liapi, Anastasia
name: Delopoulos, Anastasios
Publisher: name: arXiv
Year: 2022
Subjects: subject: Audio and Speech Processing (eess.AS)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: J.3

description: Automatic dietary monitoring has progressed significantly during the last years, offering a variety of solutions, both in terms of sensors and algorithms as well as in terms of what aspect or parameters of eating behavior are measured and monitored. Automatic detection of eating based on chewing sounds has been studied extensively, however, it requires a microphone to be mounted on the subject's head for capturing the relevant sounds. In this work, we evaluate the feasibility of using an off-the-shelf commercial device, the Razer Anzu smart-glasses, for automatic chewing detection. The smart-glasses are equipped with stereo speakers and microphones that communicate with smart-phones via Bluetooth. The microphone placement is not optimal for capturing chewing sounds, however, we find that it does not significantly affect the detection effectiveness. We apply an algorithm from literature with some adjustments on a challenging dataset that we have collected in house. Leave-one-subject-out experiments yield promising results, with an F1-score of 0.96 for the best case of duration-based evaluation of eating time.
description: 6 pages, 4 figures, 1 table, conference
Hysteretic superconducting heat-flux quantum modulator
Creators: name: Guarcello, Claudio
name: Solinas, Paolo
name: Di Ventra, Massimiliano
name: Giazotto, Francesco
Publisher: name: arXiv
Year: 2017
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We discuss heat transport in a thermally-biased SQUID in the presence of an external magnetic flux, when a non-negligible inductance of the SQUID ring is taken into account. A properly sweeping driving flux causes the thermal current to modulate and behave hysteretically. The response of this device is analysed as a function of both the hysteresis parameter and degree of asymmetry of the SQUID, highlighting the parameter range over which hysteretic behavior is observable. Markedly, also the temperature of the SQUID shows hysteretic evolution, with sharp transitions characterized by temperature jumps up to, e.g., ~ 38mK for a realistic Al-based setup. In view of these results, the proposed device can effectively find application as a temperature-based superconducting memory element, working even at GHz frequencies by suitably choosing the superconductor on which the device is based.
description: 9 pages, 10 figures
Properties of Unshunted and Resistively Shunted Nb/AlOx-Al/Nb Josephson Junctions With Critical Current Densities from 0.1 mA/μm^2 to 1 mA/μm^2
Creators: name: Tolpygo, Sergey K.
name: Bolkhovsky, Vladimir
name: Zarr, Scott
name: Weir, T. J.
name: Wynn, Alex
name: Day, Alexandra L.
name: Johnson, L. M.
name: Gouker, M. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We investigated current-voltage characteristics of unshunted and externally shunted Josephson junctions (JJs) with high critical current densities, Jc, in order to extract their basic parameters and statistical characteristics for JJ modeling in superconducting integrated circuits and to assess their potential for future technology nodes. Nb/AlOx-Al/Nb JJs with diameters from 0.5 μm to 6 μm were fabricated using a fully planarized process with Mo or MoNx thin-film shunt resistors with sheet resistance Rsq = 2 Ω/sq and Rsq = 6 Ω/sq, respectively. We used our standard MIT LL process SFQ5ee to fabricate JJs with Jc = 0.1 mA/μm^2 and our new process SFQ5hs to make JJs with Jc = 0.2 mA/μm^2 and higher current densities up to about 1 mA/μm^2. Using LRC resonance features on the I-V characteristics of shunted JJs, we extract the inductance associated with molybdenum shunt resistors of 1.4 pH/sq. The main part this inductance, about 1.1 pH/sq, is the inductance of the 40-nm Mo resistor film, while the geometrical inductance of superconducting Nb wiring contributes the rest. We attribute this large inductance to kinetic inductance arising from the complex conductivity of a thin normal-metal film in an electromagnetic field with angular frequency ω, σ(ω)=σ0/(1+iωτ), where σ0 is the static conductivity and τ the electron scattering time. Using a resonance in a large-area unshunted high-Jc junction excited by a resistively coupled small-area shunted JJ, we extract the Josephson plasma frequency and specific capacitance of high-Jc junctions in 0.1 to 1 mA/μm^2 Jc range. We also present data on Jc targeting and JJ critical current spreads. We discuss using 0.2-mA/μm^2 JJs in VLSI Single Flux Quantum circuits and 0.5-mA/μm^2 JJs in high-density integrated circuits without shunt resistors.
description: 15 pages, 22 figures, 2 tables, 52 references. Presented at Applied Superconductivity Conference, ASC 2016, Denver CO, September 4-9, 2016. Submitted to IEEE Transaction on Applied Superconductivity on September 2, 2016
supplementary file Guo
Creators: name: Zhenhua, Guo
Publisher: name: Zenodo
Year: 2022

description: Supplementary material Supplementary Figure S1. Cross Entropy Line Chart.The minimum value of cross entropy is generally selected for population result analysis. There is no obvious population structure in this analysis. Supplementary Figure S2. Genetic relationship and principal component analysis. (A) Kinship analysis heat map. The different colors represent kinship. There is no kinship between the samples. In the figure, C represents the original Zhedong goose, B represents F2, and O represents F3. Supplementary Figure S3. Analyze the Linkage disequilibrium (LD) decal.It is not possible to group using different generations based on the distance in the picture. Supplementary Figure S4. NJ evolutionary tree. Grouping explicitly based on the distance in the picture is not possible. Supplementary table 1. 39 candidate SNPs were screened out in this study.