cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Zipper Codes
Creators: name: Sukmadji, Alvin Y.
name: Martínez-Peñas, Umberto
name: Kschischang, Frank R.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Zipper codes are a framework for describing spatially-coupled product-like codes. Many well-known codes, such as staircase codes and braided block codes, are subsumed into this framework. New types of codes such as tiled diagonal and delayed diagonal zipper codes are introduced along with their software simulation results. Stall patterns that can arise in iterative decoding are analyzed, giving a means of error floor estimation.
description: Accepted for publication on JLT, updated reference for oFEC
Additional file 1 of A qualitative analysis of perceptions of various stakeholders on nutrition-sensitive agricultural interventions, including the taxation on sugar-sweetened beverages (SSBs), to improve overall health and nutrition in South Africa
Creators: name: Kaltenbrun, Tayla Ashton
name: Plessis, Lisanne Monica Du
name: Drimie, Scott
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 1. Interview Guide: In-depth interview guide used by principal researcher to guide the interviews and in-depth discussions during the data collection phase.
Pressure-driven accumulation of Mn-doped mesoporous silica nanoparticles containing 5-aza-2-deoxycytidine and docetaxel at tumours with a dry cupping device
Creators: name: Hao, Yongwei
name: Zheng, Cuixia
name: Song, Qingxia
name: Chen, Hongli
name: Nan, Wenbin
name: Wang, Lei
name: Zhang, Zhenzhong
name: Zhang, Yun
Publisher: name: Taylor & Francis
Year: 2021
Subjects: Space Science
Medicine
Cell Biology
Pharmacology
Biotechnology
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer

description: Drug delivery with the help of nanoparticles could transport more payloads to tumour site. Owing to their limited accumulation and penetration in the tumour tissues, to increase delivery efficiency is currently still required for applying nanomedicine to treat tumour. Here, we initially report a pressure-driven accumulation of drug-loaded nanoparticles to tumours for efficient tumour therapy with a dry cupping device. The mesoporous Mn-doped silica based nanoparticles delivering 5-aza-2-deoxycytidine and docetaxel were prepared, characterised and used as a model nanomedicine to investigate the potential of dry cupping treatment. For this system, the Mn doping not only endowed the mesoporous silica nanoparticles biodegradability, but also made it much easier to bind a tumour targeting group, which is a G-quadruplex-forming aptamer AS1411. On tumour-bearing mice, the in vivo results demonstrated that the dry cupping treatment could substantially improve the distribution of nanomedicines at tumour site, resulting in enhanced treatment efficacy. Overall, this method enables the therapeutical nanoparticles accumulate to tumour through increasing the blood perfusion as well as altering the biological barrier, which opened up possibilities for the development of pressure-driven nanomedicine accumulation at tumour site.
Additional file 1 of Molecular dynamics simulation and experimental study of the surface-display of SPA protein via Lpp-OmpA system for screening of IgG
Creators: name: M. Vahed
name: F. Ramezani
name: V. Tafakori
name: V. S. Mirbagheri
name: A. Najafi
name: G. Ahmadian
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: 29999 Physical Sciences not elsewhere classified
subject: FOS: Physical sciences
subject: Microbiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Figure S1. Schematic diagram Of Protein A domains. Figure S2. A) DNA Sequence of p Lpp’-ompA-Spa construct cloned in pET26b, and B) protein sequence of p Lpp’-ompA-Spa construct. Figure S3. Schematic diagram showing the strategy for making recombinant plasmid pLpp’-ompA-Spa. Figure S4. Investigation of electrophoretic mobility shift assay of different recombinant clones on 1% agarose gel to confirm cloning using quick check extraction method. Figure S5. Investigation of enzymatic cleavage of recombinant pLpp’-ompA plasmids with NdeI and EcoRI restriction enzymes by 1% agarose gel electrophoresis. Figure S6. Amplification of protein A using PCR reactions at different temperatures from 54 to 57 from left to right. Figure S7. Enzymatic digestion of non-recombinant and recombinant plasmids pET26. Figure S8. Investigation of electrophoretic mobility shift assay of different recombinant clones on 1% agarose gel to confirm cloning using quick check extraction method. Figure S9. Relative expression and purification of Lpp’-ompA and Lpp’-ompA-Spa in E. coli (BL21-DE3) under control of the T7 promoter. Figure S10. Expression of Lpp’-ompA-Spa construct in E. coli (BL21-DE3).
Rydberg wire gates for universal quantum computation
Creators: name: Jeong, Seokho
name: Shi, Xiao-Feng
name: Kim, Minhyuk
name: Ahn, Jaewook
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Rydberg atom arrays offer flexible geometries of strongly-interacting neutral atoms, which are useful for many quantum applications such as quantum simulation and quantum computation. Here we consider a gate-based quantum computing scheme for a Rydberg-atom array. We utilize auxiliary atoms which are used as a quantum wire to mediate controllable interactions among data-qubit atoms. We construct universal quantum gates for the data atoms, by using single-atom addressing operations. Standard one-, two-, and multi-qubit solutions are explicitly obtained as respective sequences of pulsed operations acting on individual data and wire atoms. A detailed resource estimate is provided for an experimental implementation of this scheme in a Rydberg quantum simulator.
description: 7 pages, 4 figures
Increasing the mobility and power-electronics figure of merit of AlGaN with atomically thin AlN/GaN digital-alloy superlattices
Creators: name: Pant, Nick
name: Lee, Woncheol
name: Sanders, Nocona
name: Kioupakis, Emmanouil
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Alloy scattering in random AlGaN alloys drastically reduces the electron mobility and therefore the power-electronics figure of merit. As a result, Al compositions greater than 75% are required to obtain even a two-fold increase of the Baliga figure of merit compared to GaN. However, beyond approximately 80% Al composition, donors in AlGaN undergo the DX transition which makes impurity doping increasingly more difficult. Moreover, the contact resistance increases exponentially with increasing Al content, and integration with dielectrics becomes difficult due to the upward shift of the conduction band. Atomically thin superlattices of AlN and GaN, also known as digital alloys, are known to grow experimentally under appropriate growth conditions. These chemically ordered nanostructures could offer significantly enhanced figure of merit compared to their random-alloy counterparts due to the absence of alloy scattering, as well as better integration with contact metals and dielectrics. In this work, we investigate the electronic structure and phonon-limited electron mobility of atomically thin AlN/GaN digital-alloy superlattices using first-principles calculations based on density-functional and many-body perturbation theory. The band gap of the atomically thin superlattices reaches 4.8 eV, and the in-plane (out-of-plane) mobility is 369 (452) cm$^2$ V$^{-1}$ s$^{-1}$. Using the modified Baliga figure of merit that accounts for the dopant ionization energy, we demonstrate that atomically thin AlN/GaN superlattices with a monolayer sublattice periodicity have the highest modified Baliga figure of merit among several technologically relevant ultra-wide band-gap materials, including random AlGaN, $β$-Ga$_{2}$O$_{3}$, cBN, and diamond.
description: To be published in Applied Physics Letters. 18 pages of main text, 6 pages of supplementary material, 4 figures, 4 tables, and 3 supplementary figures
Additional file 2 of A qualitative analysis of perceptions of various stakeholders on nutrition-sensitive agricultural interventions, including the taxation on sugar-sweetened beverages (SSBs), to improve overall health and nutrition in South Africa
Creators: name: Kaltenbrun, Tayla Ashton
name: Plessis, Lisanne Monica Du
name: Drimie, Scott
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer
subject: Science Policy

description: Additional file 2. Spider diagram figures: The network function on ATLAS.ti 8 was used to recreate spider diagrams on the main themes and look for further patterns, connections and relationships between and within themes. Spider diagrams are labelled: Food and Nutrition Security, Government Function, Negative externalities linked to the sugar tax, Nutrition-agricultural policies, Ring-fencing funds to offset the negative externalities and Sugar Tax.
MOESM19 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Biotechnology
subject: Evolutionary Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology
subject: Virology

description: Additional file 19: Table S11. cDNA and protein sequences of STPS. The cDNA sequence of the chloroplast-targeting peptide is labeled with gray shading; the conserved domain in the protein sequence is labeled with turquoise shading.
The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: A machine learning approach
Creators: name: Mishra, Sachit
name: Srivastava, Rajat
name: Muhammad, Atta
name: Amit, Amit
name: Chiavazzo, Eliodoro
name: Fasano, Matteo
name: Asinari, Pietro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: Hybrid electric vehicles and portable electronic systems use supercapacitors for energy storage owing to their fast charging discharging rates, long life cycle, and low maintenance. Specific capacitance is regarded as one of the most important performance-related characteristics of a supercapacitor's electrode. In the current study, Machine Learning (ML) algorithms were used to determine the impact of various physicochemical properties of carbon-based materials on the capacitive performance of electric double-layer capacitors. Published experimental datasets from 147 references (4899 data entries) were extracted and then used to train and test the ML models, to determine the relative importance of electrode material features on specific capacitance. These features include current density, pore volume, pore size, presence of defects, potential window, specific surface area, oxygen, and nitrogen content of the carbon-based electrode material. Additionally, categorical variables as the testing method, electrolyte, and carbon structure of the electrodes are considered as well. Among five applied regression models, an extreme gradient boosting model was found to best correlate those features with the capacitive performance, highlighting that the specific surface area, the presence of nitrogen doping, and the potential window are the most significant descriptors for the specific capacitance. These findings are summarized in a modular and open-source application for estimating the capacitance of supercapacitors given, as only inputs, the features of their carbon-based electrodes, the electrolyte and testing method. In perspective, this work introduces a new wide dataset of carbon electrodes for supercapacitors extracted from the experimental literature, also giving an instance of how electrochemical technology can benefit from ML models.
description: Manuscript and associated Supplementary Information
MOESM20 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Biophysics
subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Developmental Biology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology
subject: Virology

description: Additional file 20: Figure S9. A: alignment of deduced amino acid sequences between STPS and four D-limonene synthase genes. The amino acid sequences of KU746814, AB110637, AB266584 and Cs3g04360 were obtained from the NCBI website and the genome sequence of Valencia sweet orange. B: sabinene content and relative expression level of STPS. C: purification of His-tagged STPS protein analyzed by SDS-PAGE in E.coli and Western blot analysis. M: Protein Ladder (#SM0671); 1: STPS-tr flow-through of the lysate from a Ni-NTA His-Bind Resin column; 2, 3: eluate of STPS; 4: STPS-fl flow-through of the lysate from a Ni-NTA His-Bind Resin column; 5, 6: eluate of STPS-fl. D: Identification of recombinant STPS-tr and STPS-fl by Western blot analysis.
Origin of the injection-dependent emission blueshift and linewidth broadening of III-nitride light-emitting diodes
Creators: name: Pant, Nick
name: Li, Xuefeng
name: DeJong, Elizabeth
name: Feezell, Daniel
name: Armitage, Rob
name: Kioupakis, Emmanouil
Publisher: name: arXiv
Year: 2022
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: III-nitride light-emitting diodes (LEDs) exhibit an injection-dependent emission blueshift and linewidth broadening that is severely detrimental to their color purity. Using first-principles multi-scale modelling that accurately captures the competition between polarization-charge screening, phase-space filling, and many-body plasma renormalization, we explain the current-dependent spectral characteristics of polar III-nitride LEDs fabricated with state-of-the-art quantum wells. Our analysis uncovers a fundamental connection between carrier dynamics and the injection-dependent spectral characteristics of light-emitting materials. For example, polar III-nitride LEDs offer poor control over their injection-dependent color purity due to their poor hole transport and slow carrier recombination dynamics, which forces them to operate at or near degenerate carrier densities. Designs that accelerate carrier recombination and transport and reduce the carrier density required to operate LEDs at a given current density lessen their injection-dependent wavelength shift and linewidth broadening.
description: Supplementary material attached at the end of the document
Shifted combinatorial Hopf algebras from $K$-theory
Creators: name: Marberg, Eric
Publisher: name: arXiv
Year: 2022
Subjects: subject: Combinatorics (math.CO)
subject: K-Theory and Homology (math.KT)
subject: Rings and Algebras (math.RA)
subject: FOS: Mathematics

description: In prior joint work with Lewis, we developed a theory of enriched set-valued $P$-partitions to construct a $K$-theoretic generalization of the Hopf algebra of peak quasisymmetric functions. Here, we situate this object in a diagram of six Hopf algebras, providing a shifted version of the diagram of $K$-theoretic combinatorial Hopf algebras studied by Lam and Pylyavskyy. This allows us to describe new $K$-theoretic analogues of the classical peak algebra. We also study the Hopf algebras generated by Ikeda and Naruse's $K$-theoretic Schur $P$- and $Q$-functions, as well as their duals. Along the way, we derive several product, coproduct, and antipode formulas and outline a number of open problems and conjectures.
description: 32 pages; v2: minor revisions, removed Conjectures 4.37 and 4.42 which now have proofs elsewhere
Quantum tomography of Rydberg atom graphs by configurable ancillas
Creators: name: Kim, Kangheun
name: Ahn, Jaewook
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: Atomic Physics (physics.atom-ph)
subject: FOS: Physical sciences

description: Tomographic reconstruction of the many-body quantum state of a scalable qubit system is of paramount importance in quantum computing technologies. However, conventional approaches which use tomographically orthogonal base measurements require precise and individual qubit controls which are often experimentally daunting. Here, we propose, as a quantum-mechanically robust alternative, to use configurable ancillas of which the continuously-tunable interactions can generate independent base measurements tomographically sufficient for the quantum state reconstruction of the system of interest. Experimental tests are performed for Rydberg atom arrays in $N$-body $W$ states, of which the results demonstrate reliable high-fidelity full quantum state reconstruction of the proposed method.
description: 8 pages, 5 figures
Thurston's Bounded image theorem
Creators: name: Lecuire, Cyril
name: Ohshika, Ken'ichi
Publisher: name: arXiv
Year: 2022
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57K32, 30F40

description: Thurston's bounded image theorem is one of the key steps in his proof of the uniformisation theorem for Haken manifolds. Thurston never published its proof, and no proof has been known up to today, although a proof of its weaker version, called the bounded orbit theorem is known. In this paper, we give a proof of the original bounded image theorem, relying on recent development of Kleinian group theory.
description: 30 pages
Modelling assisted tunneling on the Bloch sphere using the Quantum Composer
Creators: name: Bley, Jonas
name: Mattei, Vieri
name: Goorney, Simon
name: Sherson, Jacob
name: Heusler, Stefan
Publisher: name: arXiv
Year: 2022
Subjects: subject: Physics Education (physics.ed-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The Bloch sphere representation is a geometric model for all possible quantum states of a two-level system that can be used to describe the time dynamics of a qubit. As explicit application, we consider the time dynamics of a particle in a double-well potential. In particular, we adopt a recent method for off-resonant excitations, the so-called SUPER principle (Swing-UP of the quantum emitter population) driven by periodic electromagnetic fields, to the context of quantum tunnelling. We show that the tunnelling probability can be enhanced significantly when an appropriate oscillation of the potential height is introduced. Driven by a collaborative approach we call educator-developer dialogue, an updated version of the software Quantum Composer is presented. For educational purposes, we map the two lowest energy states of the 1D-Schrödinger equation to the Bloch sphere representation, leading to a rather clear and intuitive physical picture for the pertinent time dynamics.
description: 19 pages, 11 figures, submitted to European Journal of Physics
MOESM22 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Plant Biology

description: Additional file 22: Figure S10. Total volatile content in different citrus tissues (mg/g).
Sum and Tensor of Quantitative Effects
Creators: name: Bacci, Giorgio
name: Mardare, Radu
name: Panangaden, Prakash
name: Plotkin, Gordon
Publisher: name: arXiv
Year: 2022
Subjects: subject: Logic in Computer Science (cs.LO)
subject: FOS: Computer and information sciences

description: Inspired by the seminal work of Hyland, Plotkin, and Power on the combination of algebraic computational effects via sum and tensor, we develop an analogous theory for the combination of quantitative algebraic effects. Quantitative algebraic effects are monadic computational effects on categories of metric spaces, which, moreover, have an algebraic presentation in the form of quantitative equational theories, a logical framework introduced by Mardare, Panangaden, and Plotkin that generalises equational logic to account for a concept of approximate equality. As our main result, we show that the sum and tensor of two quantitative equational theories correspond to the categorical sum (i.e., coproduct) and tensor, respectively, of their effects qua monads. We further give a theory of quantitative effect transformers based on these two operations, essentially providing quantitative analogues to the following monad transformers due to Moggi: exception, resumption, reader, and writer transformers. Finally, as an application, we provide the first quantitative algebraic axiomatizations to the following coalgebraic structures: Markov processes, labelled Markov processes, Mealy machines, and Markov decision processes, each endowed with their respective bisimilarity metrics. Apart from the intrinsic interest in these axiomatizations, it is pleasing they have been obtained as the composition, via sum and tensor, of simpler quantitative equational theories.
Proceedings of the Cambridge Antiquarian Society. October 1931 - October 1932. With Communications made to the society. Volume XXXIII. Edited by E. A. B. Barnard, F. S. A., F. R. Hist. S.
Creators: name: Barnard, E A B
Publisher: name: Archaeology Data Service
Year: 2017

description: Proceedings of the Cambridge Antiquarian Society, 33, 0-182
Dividend policy in Russia: theory and applications
Creators: name: Manokhin, Valery
Publisher: name: Zenodo
Year: 2022
Subjects: corporate finance
Modigliani-Miller
dividends
econometrics

description: In this paper the research concentrated on the divident policy of Russian firms. The Modigliani-Miller issue whether dividends are irrelevant was subject to empirical abalysis which has shown that MM is wrong and that dividend policy does have impact on the performance of companies and stock price/ Another issue raised was the dividend policy per se. The factors which can have impact on dividends policy were focused on and analzed. Among the most importamt factores influencing the divident policy were the sector in which a company operates, ownerhsip structure, together with current indicators of performance such as current profit and the amount fo long-term debt a company attracts for financing.
Charged domain walls in BaTiO$_3$ crystals emerging from superdomain boundaries
Creators: name: Bednyakov, P. S.
name: Hlinka, J.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Previous experiments with BaTiO$_3$ single crystals have shown that application of the electric field in the vicinity of the ferroelectric phase transition can be used to introduce peculiar persisting ferroelectric domain walls, accompanied by the compensating charge in the form of two-dimensional electron gas. The present in-situ optical observations of such electric poling process reveal formation of a transient coexistence of the cubic and ferroelectric phases, the latter one being broken into multiple martensitic superdomains, separated by superdomain walls. It is revealed that as the transient superdomains convert into the regular ferroelectric domains, the superdomain boundaries transform into the desired charged domain walls. In order to assign the observed transient domain patterns, to understand the shapes of the observed ferrolectric precipitates and their agglomerates as well as to provide the overall interpretation of the observed domain formation process, the implications of the mechanical compatibility of the coexisting superdomain states is derived in the framework of the Wechsler-Lieberman-Read theory. The results also suggest that the transport of the compensating charge carriers towards the final charged domain wall location is directly associated with the electric conductivity and interlinked motion and growth of the superdomain walls and phase fronts.
Sky localization of space-based detectors with time-delay interferometry
Creators: name: Jiang, Tong
name: Gong, Yungui
name: Lu, Xuchen
Publisher: name: arXiv
Year: 2023
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: The accurate sky localization of gravitational wave (GW) sources is an important scientific goal for space-based GW detectors. The main differences between future space-based GW detectors, such as Laser Interferometer Space Antenna (LISA), Taiji, and TianQin, include the time-changing orientation of the detector plane, the arm length, the orbital period of the spacecraft and the noise curve. Because of the effects of gravity on three spacecraft, it is impossible to maintain the equality of the arm length, so the time-delay interferometry (TDI) method is needed to cancel out the laser frequency noise for space-based GW detectors. Extending previous work based on equal-arm Michelson interferometer, we explore the impacts of different first-generation TDI combinations and detector's constellations on the sky localization for monochromatic sources. We find that the sky localization power is almost unaffected by the inclusion of the TDI Michelson $(X, Y, Z)$ combination in the analysis. We also find that the variation in the sky localization power for different TDI combinations is entirely driven by the variation in the sensitivities of these combinations. For the six particular TDI combinations studied, the Michelson $(X, Y, Z)$ combination is the best for source localization.
description: 24 pages, 8 figures. Updated to match published version
Involutions on hyperelliptic curves and Prym maps
Creators: name: Borówka, Paweł
name: Ortega, Angela
Publisher: name: arXiv
Year: 2023
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14H40, 14H30, 14H37

description: We investigate the geometry of smooth hyperelliptic curves that possess additional involutions, especially from the point of view of the Prym theory. Our main result is the injectivity of the Prym map for hyperelliptic $\mathbb{Z}_2^2$-coverings over hyperelliptic curves of positive genus.
description: 22 pages
Application of machine learning techniques to the analysis and forecasting of commodity prices
Creators: name: Manokhin, Valery
Publisher: name: Zenodo
Year: 2022
Subjects: machine learning
trading
finance
energy trading
systematic trading
hedge fund

description: Commodity prices are very volatile which presents substantial challenges and uncertainty for the global economy. In 2014 oil prices experienced substantial decline due to a combination of economic and geo-political factors. Organization of the Petroleum Exporting Countries (OPEC) currently supplies a little over 30% of global oil market, a significant decline from its 50% market share back in the 1970s. OPEC’s market stabilisation power continues to erode, which, coupled with a lack of consensus between Open members, will continue to contribute to volatility of oil prices going forward. The traditional methods of oil price forecasting include supply/demand modelling, use of econometric time-series analysis and other tools. However, due to non-linear and complex behavior of oil prices, these methods showed poor historical performance even during periods of stable oil prices, like the 1980s (Behmiri and Manso 2013). Whilst some machine learning techniques have been previously applied to the forecasting of financial markets, this was mostly in the equity and foreign exchange domains. Limited literature exists on the application of machine-learning techniques to the commodity markets in general, including on forecasting of prices for such an important commodity such as oil. This thesis introduces machine learning techniques such as SVM regression to the task of predicting commodity prices and compares performance of machine learning algorithm with that of traditional techniques such as econometric models like ARIMA and GARCH. Working with continuous futures time series we develop, implement and back-test a real trading strategy using trading signals generated by both traditional econometric models and SVM regression. Our research suggests that there is significant potential in the application of advanced machine learning techniques to the forecasting of commodity prices and commodity trading/risk management.
Quantum battery charging by non-equilibrium steady-state currents
Creators: name: Kamin, F. H.
name: Abuali, Z.
name: Ness, H.
name: Salimi, S.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We present an analysis of the availability and maximum extractable work of quantum batteries in the presence of charge and/or heat steady-state currents. Quantum batteries are modelled as non-interacting open quantum systems (mesoscopic systems) strongly coupled to two thermal and particle reservoirs within the framework of non-equilibrium Green's function theory in a steady-state regime. We found that the battery can be charged manifestly by a steady-state charge current compared to heat one, especially, in an off-resonant transport regime. It allows us to reliably access the performance of the quantum batteries in the high bias-charging regime.
description: new Refs. added
Additional file 3 of Decoding the RNA viromes in rodent lungs provides new insight into the origin and evolutionary patterns of rodent-borne pathogens in Mainland Southeast Asia
Creators: name: Wu, Zhiqiang
name: Han, Yelin
name: Liu, Bo
name: Li, Hongying
name: Zhu, Guangjian
name: Latinne, Alice
name: Dong, Jie
name: Sun, Lilin
name: Su, Haoxiang
name: Liu, Liguo
name: Du, Jiang
name: Zhou, Siyu
name: Chen, Mingxing
name: Kritiyakan, Anamika
name: Jittapalapong, Sathaporn
name: Chaisiri, Kittipong
name: Buchy, Phillipe
name: Duong, Veasna
name: Yang, Jian
name: Jiang, Jinyong
name: Xu, Xiang
name: Zhou, Hongning
name: Yang, Fan
name: Irwin, David M.
name: Morand, Serge
name: Daszak, Peter
name: Wang, Jianwei
name: Jin, Qi
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 2. Figure S10. Phylogenetic tree based on the complete amino acid sequence of the RNA-dependent RNA polymerase of picornaviruses. The viruses found in this study are labeled in red font. Figure S11. Phylogenetic tree based on the complete amino acid sequence of the RNA-dependent RNA polymerase of astroviruses (AstroVs). The virus found in this study is labelled in red font.
MSR Codes with Linear Field Size and Smallest Sub-packetization for Any Number of Helper Nodes
Creators: name: Li, Guodong
name: Wang, Ningning
name: Hu, Sihuang
name: Ye, Min
Publisher: name: arXiv
Year: 2023
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: The sub-packetization $\ell$ and the field size $q$ are of paramount importance in the MSR array code constructions. For optimal-access MSR codes, Balaji et al. proved that $\ell\geq s^{\left\lceil n/s \right\rceil}$, where $s = d-k+1$. Rawat et al. showed that this lower bound is attainable for all admissible values of $d$ when the field size is exponential in $n$. After that, tremendous efforts have been devoted to reducing the field size. However, till now, reduction to linear field size is only available for $d\in\{k+1,k+2,k+3\}$ and $d=n-1$. In this paper, we construct the first class of explicit optimal-access MSR codes with the smallest sub-packetization $\ell = s^{\left\lceil n/s \right\rceil}$ for all $d$ between $k+1$ and $n-1$, resolving an open problem in the survey (Ramkumar et al., Foundations and Trends in Communications and Information Theory: Vol. 19: No. 4). We further propose another class of explicit MSR code constructions (not optimal-access) with even smaller sub-packetization $s^{\left\lceil n/(s+1)\right\rceil }$ for all admissible values of $d$, making significant progress on another open problem in the survey. Previously, MSR codes with $\ell=s^{\left\lceil n/(s+1)\right\rceil }$ and $q=O(n)$ were only known for $d=k+1$ and $d=n-1$. The key insight that enables a linear field size in our construction is to reduce $\binom{n}{r}$ global constraints of non-vanishing determinants to $O_s(n)$ local ones, which is achieved by carefully designing the parity check matrices.
description: This paper is reorganized to make it more readable. The lower bounds in Lemma 6 and Lemma 9 are improved
Combining Robust Control and Machine Learning for Uncertain Nonlinear Systems Subject to Persistent Disturbances
Creators: name: Banderchuk, A.
name: Coutinho, D.
name: Camponogara, E.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: This paper proposes a control strategy consisting of a robust controller and an Echo State Network (ESN) based control law for stabilizing a class of uncertain nonlinear discrete-time systems subject to persistent disturbances. Firstly, the robust controller is designed to ensure that the closed-loop system is Input-to-State Stable (ISS) with a guaranteed stability region regardless of the ESN control action and exogenous disturbances. Then, the ESN based controller is trained in order to mitigate the effects of disturbances on the system output. A numerical example demonstrates the potentials of the proposed control design method.
Additional file 1 of Characterisation of a hand-held CZT-based gamma camera for 177Lu imaging
Creators: name: Roth, Daniel
name: Larsson, Erik
name: Sundlöv, Anna
name: Gleisner, Katarina Sjögreen
Publisher: name: figshare
Year: 2020
Subjects: subject: Biophysics
subject: Space Science
subject: Medicine
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Cancer

description: Additional file 1 appendix.pdf. Contains Appendix 1, Appendix 2 and Appendix 3, referenced in the main article text. Appendix 1 presents more details on the energy resolution estimation procedure. Appendix 2 presents peak drift values for all nuclides and photopeaks analysed. Appendix 3 presents data on the noise levels in the flat-field images acquired for uniformity analysis.
MOESM4 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Plant Biology

description: Additional file 4: Figure S1. Proportions of monoterpenes and sesquiterpenes in total volatiles in the leaves of various germplasms. LSM: loose-skin mandarin; PA: papeda; CI: citron; SO: sour orange; IC: C. ichangensis; SW: sweet orange; PU: pummelo; T: Poncirus trifoliata.
MOESM5 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Plant Biology

description: Additional file 5: Figure S2. Total volatiles in loose-skin mandarin leaves (mg/g).
Investigations into Proof Structures
Creators: name: Wernhard, Christoph
name: Bibel, Wolfgang
Publisher: name: arXiv
Year: 2023
Subjects: subject: Logic in Computer Science (cs.LO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We introduce and elaborate a novel formalism for the manipulation and analysis of proofs as objects in a global manner. In this first approach the formalism is restricted to first-order problems characterized by condensed detachment. It is applied in an exemplary manner to a coherent and comprehensive formal reconstruction and analysis of historical proofs of a widely-studied problem due to Łukasiewicz. The underlying approach opens the door towards new systematic ways of generating lemmas in the course of proof search to the effects of reducing the search effort and finding shorter proofs. Among the numerous reported experiments along this line, a proof of Łukasiewicz's problem was automatically discovered that is much shorter than any proof found before by man or machine.
description: This article is a continuation of arXiv:2104.13645
Visualizing Entanglement in multi-Qubit Systems
Creators: name: Bley, Jonas
name: Rexigel, Eva
name: Arias, Alda
name: Longen, Nikolas
name: Krupp, Lars
name: Kiefer-Emmanouilidis, Maximilian
name: Lukowicz, Paul
name: Donhauser, Anna
name: Küchemann, Stefan
name: Kuhn, Jochen
name: Widera, Artur
Publisher: name: arXiv
Year: 2023
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In the field of quantum information science and technology, the representation and visualization of quantum states and related processes are essential for both research and education. In this context, a focus especially lies on ensembles of few qubits. There exist many powerful representations for single-qubit and multi-qubit systems, such as the famous Bloch sphere and generalizations. Here, we utilize the dimensional circle notation as a representation of such ensembles, adapting the so-called circle notation of qubits and the idea of representing the n-particle system in an n-dimensional space. We show that the mathematical conditions for separability lead to symmetry conditions of the quantum state visualized, offering a new perspective on entanglement in few-qubit systems and therefore on various quantum algorithms. In this way, dimensional notations promise significant potential for conveying nontrivial quantum entanglement properties and processes in few-qubit systems to a broader audience, and could enhance understanding of these concepts as a bridge between intuitive quantum insight and formal mathematical descriptions.
description: 22 pages, 20 figures
Additional file 1 of Rapid multiplex MinION nanopore sequencing workflow for Influenza A viruses
Creators: name: King, Jacqueline
name: Harder, Timm
name: Beer, Martin
name: Pohlmann, Anne
Publisher: name: figshare
Year: 2020
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 1.
Tuned Contrastive Learning
Creators: name: Animesh, Chaitanya
name: Chandraker, Manmohan
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In recent times, contrastive learning based loss functions have become increasingly popular for visual self-supervised representation learning owing to their state-of-the-art (SOTA) performance. Most of the modern contrastive learning methods generalize only to one positive and multiple negatives per anchor. A recent state-of-the-art, supervised contrastive (SupCon) loss, extends self-supervised contrastive learning to supervised setting by generalizing to multiple positives and negatives in a batch and improves upon the cross-entropy loss. In this paper, we propose a novel contrastive loss function -- Tuned Contrastive Learning (TCL) loss, that generalizes to multiple positives and negatives in a batch and offers parameters to tune and improve the gradient responses from hard positives and hard negatives. We provide theoretical analysis of our loss function's gradient response and show mathematically how it is better than that of SupCon loss. We empirically compare our loss function with SupCon loss and cross-entropy loss in supervised setting on multiple classification-task datasets to show its effectiveness. We also show the stability of our loss function to a range of hyper-parameter settings. Unlike SupCon loss which is only applied to supervised setting, we show how to extend TCL to self-supervised setting and empirically compare it with various SOTA self-supervised learning methods. Hence, we show that TCL loss achieves performance on par with SOTA methods in both supervised and self-supervised settings.
description: Preprint Version
MOESM6 of Transcriptomic and metabolomic analyses provide insight into the volatile compounds of citrus leaves and flowers
Creators: name: Zhang, Haipeng
name: Chen, Mengjun
name: Wen, Huan
name: Wang, Zhenhua
name: Chen, Jiajing
name: Fang, Liu
name: Zhang, Hongyan
name: Xie, Zongzhou
name: Jiang, Dong
name: Cheng, Yunjiang
name: Xu, Juan
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Plant Biology

description: Additional file 6: Figure S3. Total volatile levels and number of compounds in the peels and juice sacs of wild or semiwild species and cultivars (mg/g).
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
Creators: name: Dawid, Anna
name: LeCun, Yann
Publisher: name: arXiv
Year: 2023
Subjects: subject: Machine Learning (cs.LG)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Current automated systems have crucial limitations that need to be addressed before artificial intelligence can reach human-like levels and bring new technological revolutions. Among others, our societies still lack Level 5 self-driving cars, domestic robots, and virtual assistants that learn reliable world models, reason, and plan complex action sequences. In these notes, we summarize the main ideas behind the architecture of autonomous intelligence of the future proposed by Yann LeCun. In particular, we introduce energy-based and latent variable models and combine their advantages in the building block of LeCun's proposal, that is, in the hierarchical joint embedding predictive architecture (H-JEPA).
description: 23 pages + 1-page appendix, 11 figures. These notes follow the content of three lectures given by Yann LeCun during the Les Houches Summer School on Statistical Physics and Machine Learning in 2022. Feedback and comments are most welcome!
The Economic Consequences of National Security Threats: The Case of the Korean Peninsula
Creators: name: Qian, Wei
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Plant Biology

description: This paper examines the impact of national security threats on a nation’s economic growth and fiscal policy based on a case study of the Korean peninsula. I construct four measures of provocations using a newly-assembled list of North Korean provocative events going back to 1960. The results show that the overall impact of North Korean provocations on South Korea’s short-run economic growth is negligible. Since inter-Korean relations have gone through four phases, this paper also estimates the impact of provocations over each subperiod. Provocations had a significant impact on South Korea’s economic growth during 1960-1970 and 1992-1997 when inter-Korean tensions were high, but the effects took on different signs. While provocations decreased South Korea’s economic growth during 1992-1997, it had a positive impact on South Korea’s macroeconomy before 1970. This paper provides evidence that the effect of national security threats may vary with the responses from the government and political factors such as the relation between the targeted country and the country that inflicts the threat.