cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Electronic structure and optic absorption of phosphorene under strain
Creators: name: Duan, Houjian
name: Yang, Mou
name: Wang, Ruiqiang
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We studied the electronic structure and optic absorption of phosphorene (monolayer of black phosphorus) under strain. Strain was found to be a powerful tool for the band structure engineering. The in-plane strain in armchair or zigzag direction changes the effective masse components along both directions, while the vertical strain only has significant effect on the effective mass in the armchair direction. The band gap is narrowed by compressive in-plane strain and tensile vertical strain. Under certain strain configurations, the gap is closed and the energy band evolutes to the semi-Dirac type: the dispersion is linear in the armchair direction and is gapless quadratic in the zigzag direction. The band-edge optic absorption is completely polarized along the armchair direction, and the polarization rate is reduced when the photon energy increases. Strain not only changes the absorption edge, but also the absorption polarization.
description: 5 pages, 5 figures
Emergent Order in the Kagome Ising Magnet Dy3Mg2Sb3O14
Creators: name: Paddison, Joseph A. M.
name: Ong, Harapan S.
name: Hamp, James O.
name: Mukherjee, Paromita
name: Bai, Xiaojian
name: Tucker, Matthew G.
name: Butch, Nicholas P.
name: Castelnovo, Claudio
name: Mourigal, Martin
name: Dutton, S. E.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: The kagome lattice -- a two-dimensional (2D) arrangement of corner-sharing triangles -- is at the forefront of the search for exotic states generated by magnetic frustration. Such states have been observed experimentally for Heisenberg and planar spins. In contrast, frustration of Ising spins on the kagome lattice has previously been restricted to nano-fabricated systems and spin-ice materials under applied magnetic field. Here, we show that the layered Ising magnet Dy3Mg2Sb3O14 hosts an emergent order predicted theoretically for individual kagome layers of in-plane Ising spins. Neutron-scattering and bulk thermomagnetic measurements, supported by Monte Carlo simulations, reveal a phase transition at T* = 0.3 K from a disordered spin-ice like regime to an "emergent charge ordered" state in which emergent charge degrees of freedom exhibit three-dimensional order while spins remain partially disordered. Our results establish Dy3Mg2Sb3O14 as a tuneable system to study interacting emergent charges arising from kagome Ising frustration.
description: 30 pages, 11 figures, includes Supplementary Information
[C.1.02.b.] La Marianne [2/2]
Creators: name: Affre, Agustarello
name: Paul, Salomon
name: Agussol, Charlotte
name: Gresse, André
name: Noté, Jean
name: Verlet, Alice
name: Weber, Henri (1875-1941)
name: Bergeret, Léonce (1869-1940)
name: Dranem (1869-1935)
name: Mayol, Félix (1872-1941)
name: Marsalés, Paul (18..-.... ; Parolier)
Publisher: name: École des Hautes Études en Sciences Sociales; Association phonique des grands artistes (APGA)
Year: 2023
Subjects: http://www.idref.fr/034703829/id
http://www.idref.fr/028135350/id
http://www.idref.fr/027261468/id

Abstract
Dynamical polarization of the fermion parity in a nanowire Josephson junction
Creators: name: Wesdorp, J. J.
name: Grünhaupt, L.
name: Vaartjes, A.
name: Pita-Vidal, M.
name: Bargerbos, A.
name: Splitthoff, L. J.
name: Krogstrup, P.
name: van Heck, B.
name: de Lange, G.
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Josephson junctions in InAs nanowires proximitized with an Al shell can host gate-tunable Andreev bound states. Depending on the bound state occupation, the fermion parity of the junction can be even or odd. Coherent control of Andreev bound states has recently been achieved within each parity sector, but it is impeded by incoherent parity switches due to excess quasiparticles in the superconducting environment. Here, we show that we can polarize the fermion parity dynamically using microwave pulses by embedding the junction in a superconducting LC resonator. We demonstrate polarization up to 94% $\pm$ 1% (89% $\pm$ 1%) for the even (odd) parity as verified by single shot parity-readout. Finally, we apply this scheme to probe the flux-dependent transition spectrum of the even or odd parity sector selectively, without any post-processing or heralding.
Design and Fabrication of Foundry Sand Mixer
Creators: name: K.Gobi, T.Varunkumar, N.Sedhumani, S.Bharathkrishna Raj, G.Guruprasath, T.Hariharasudhan
Publisher: name: Zenodo
Year: 2025

description: This study looks into the precise design factors and performance characteristics of sand mixersused in foundry operations, with an emphasis on improving mixing efficiency and assuring constantsand quality. The study investigates how various parameters, such as auger screw geometry, rotatingspeed, mixing time, and chamber design, affect the homogeneity, particle size distribution, and moisturecontent of sandy mixes. Computational fluid dynamics simulations are used to examine fluid andparticle dynamics within the mixing chamber, allowing for the development of optimal designconfigurations for improved mixing performance. Material selection parameters, such as mechanicalstrength, wear resistance, and chemical compatibility, are carefully considered to ensure the durabilityand endurance of sand mixer components in harsh foundry conditions.The integration of automation technology, such as programmable logic controllers (PLC) andhuman-machine interfaces, being investigated as a method of streamlining sand preparation processes,reducing manual labour, and increasing total productivity. This study's findings provide vital insightsinto the improved design and operation of sand mixers, which will help to build more efficient,dependable, and cost-effective sand preparation procedures for the foundry industry. Statistical analysisis used to determine the impact of design parameters on the mixing process. The constructed mixeroutperforms imported existing counterparts, indicating its ability to eliminate the requirement forforeign exchange expenditures on foundry equipment.
Synergic quantum generative machine learning
Creators: name: Bartkiewicz, Karol
name: Tulewicz, Patrycja
name: Roik, Jan
name: Lemr, Karel
Publisher: name: arXiv
Year: 2021
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We introduce a new approach towards generative quantum machine learning significantly reducing the number of hyperparameters and report on a proof-of-principle experiment demonstrating our approach. Our proposal depends on collaboration between the generators and discriminator, thus, we call it quantum synergic generative learning. We present numerical evidence that the synergic approach, in some cases, compares favorably to recently proposed quantum generative adversarial learning. In addition to the results obtained with quantum simulators, we also present experimental results obtained with an actual programmable quantum computer. We investigate how a quantum computer implementing generative learning algorithm could learn the concept of a Bell state. After completing the learning process, the network is able both to recognize and to generate an entangled state. Our approach can be treated as one possible preliminary step to understanding how the concept of quantum entanglement can be learned and demonstrated by a quantum computer.
description: 14 pages, 7 figures, 1 table
Self-adjoint extension schemes and modern applications to quantum Hamiltonians
Creators: name: Gallone, Matteo
name: Michelangeli, Alessandro
Publisher: name: arXiv
Year: 2022
Subjects: subject: Mathematical Physics (math-ph)
subject: Functional Analysis (math.FA)
subject: Spectral Theory (math.SP)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: This monograph contains revised and enlarged materials from previous lecture notes of undergraduate and graduate courses and seminars delivered by both authors over the last years on a subject that is central both in abstract operator theory and in applications to quantum mechanics: to decide whether a given densely defined and symmetric operator on Hilbert space admits a unique self-adjoint realisation, namely its operator closure, or whether instead it admits an infinite multiplicity of distinct self-adjoint extensions, and in the latter case to classify them and characterise their main features (operator and quadratic form domains, spectrum, etc.) This is at the same time a very classical, well established field, corresponding to the first part of the monograph, and a territory of novel, modern applications, a selection of which, obviously subjective to some extent, but also driven by a pedagogical criterion, is presented in depth in the second part. A number of models are discussed, which are receiving today new or renewed interest in mathematical physics, in particular from the point of view of realising certain operators of interests self-adjointly, classifying their self-adjoint extensions as actual quantum Hamiltonians, studying their spectral and scattering properties, and the like, but also from the point of view of intermediate technical questions that have theoretical interest per se, such as characterising the corresponding operator closures and adjoints.
description: Typos and minor errors corrected. Version to be published in the Springer Monographs in Mathematics series, 2022
THE FUTURE OF EHRS: INTEGRATING DATA VISUALIZATION TO ENHANCE HEALTH DATA UTILIZATION
Creators: name: Jessica, Marie Thompson
Publisher: name: CARSON JOURNAL
Year: 2024
Subjects: E-health systems, electronic health records, telemedicine, healthcare transformation, data management

description: The evolution of e-health systems, including electronic health records (EHR) and personal health records (PHR), has the potential to revolutionize the healthcare sector. The implementation of computerized record systems holds the promise of saving lives, preventing medication errors, and yielding substantial cost savings, as demonstrated by estimates suggesting 60,000 lives saved, 500,000 medication errors prevented, and $9.7 billion saved annually (Leapfrog, 2004). The World Health Organization defines e-health as the cost-effective and secure utilization of information and communication technologies across health-related fields, encompassing healthcare services, health surveillance, health education, and research. E-Health encompasses various application domains, including electronic medical records, telemedicine, telecare services, consumer health informatics, and Internet-based technologies. The transformative potential of information technology in reshaping industries and creating value for stakeholders is widely recognized, particularly in information-intensive sectors like airlines, financial services, and retailing. In the context of healthcare, the growing population and increasing prevalence of diseases have generated vast amounts of data. E-health systems are gaining prominence due to technological advancements, addressing the data management challenges posed by expanding patient populations and healthcare demands. This paper explores the transformative potential of e-health systems, emphasizing their role in enhancing healthcare delivery, data management, and patient outcomes
Design and Fabrication of Aquatic Debris Removing Machine
Creators: name: T.Varun Kumar, D.Loganathan, N.Kirubakaran, A.Chinnathambi, K.Logesh, S.Ilaiyaraja
Publisher: name: Zenodo
Year: 2025

description: Public health and aquatic ecosystems are seriously threatened by the growing pollution of riversbrought on by sewage, trash, and industrial waste. This project showcases the creation and design of a cuttingedge river cleaning device intended to efficiently remove surface trash from bodies of water. The suggested device blends a sturdy mechanical design with cutting-edge technologies to automate the cleaning procedure, meeting the pressing need for efficient control of pollution in our country's rivers. The device has a unique waste management system. collecting system that lifts rubbish using a number of movable arms and nets, including organic trash and plastics from the water's surface. The system uses a motor and chain driveconfiguration and is powered by a rechargeable battery, enabling effective operation without the need forexternal power sources. In addition to improving operational efficiency while reducing its negative effects onthe environment. One of the project's main goals is to decrease the amount of time and labour needed to clean rivers. By automating the process of removing trash. The device makes it possible to respond to pollutants more quickly, which eventually improves the quality of the water and more wholesome marine life. Energyefficient component integration provides additional support for sustainable methods for managing theenvironment.
Circuit Complexity for Coherent-Thermal States in Bosonic String Theory
Creators: name: Shabir, Arshid
name: Dey, Sanjib
name: Wani, Salman Sajad
name: Lone, Suhail
name: Rubab, Seemin
name: Faizal, Mir
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In this paper, we first construct thermofield double states for bosonic string theory in the light-cone gauge. We then obtain a coherent-thermal string state and a thermal-coherent string state. We use the covariance matrix approach to calculate the circuit complexity of coherent-thermal string states. In this approach, we generate the optimal geodesics by a horizontal string generator, and then obtain the circuit complexity using the length of the minimal geodesics in the group manifold.
description: 23 pages, Accepted in Eur. Phys. J. C
Construction of $G^2$ planar Hermite interpolants with prescribed arc lengths
Creators: name: Knez, Marjeta
name: Pelosi, Francesca
name: Sampoli, Maria Lucia
Publisher: name: arXiv
Year: 2022
Subjects: subject: Numerical Analysis (math.NA)
subject: Differential Geometry (math.DG)
subject: FOS: Mathematics
subject: 65N38 (Primary) 65S05 (Secondary)

description: In this paper we address the problem of constructing $G^2$ planar Pythagorean--hodograph (PH) spline curves, that interpolate points, tangent directions and curvatures, and have prescribed arc-length. The interpolation scheme is completely local. Each spline segment is defined as a PH biarc curve of degree $7$, which results in having a closed form solution of the $G^2$ interpolation equations depending on four free parameters. By fixing two of them to zero, it is proven that the length constraint can be satisfied for any data and any chosen ratio between the two boundary tangents. Length interpolation equation reduces to one algebraic equation with four solutions in general. To select the best one, the value of the bending energy is observed. Several numerical examples are provided to illustrate the obtained theoretical results and to numerically confirm that the approximation order is $5$.
description: 17 pages, 12 figures, submitted to Applied Mathematics and Computation
Imaging the inside of thick structures using cosmic rays
Creators: name: Guardincerri, E.
name: Durham, J. M.
name: Morris, C.
name: Bacon, J. D.
name: Daughton, T. M.
name: Fellows, S.
name: Johnson, O. R.
name: Morley, D. J.
name: Plaud-Ramos, K.
name: Poulson, D. C.
name: Wang, Z.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: FOS: Physical sciences

description: The authors present here a new method to image reinforcement elements inside thick structures and the results of a demonstration measurement performed on a mock-up wall built at Los Alamos National Laboratory. The method, referred to as "multiple scattering muon radiography", relies on the use of cosmic-ray muons as probes. The work described in this article was performed to prove the viability of the technique as a means to image the interior of the dome of Florence Cathedral Santa Maria del Fiore, one of the UNESCO World Heritage sites and among the highest profile buildings in existence. Its result shows the effectiveness of the technique as a tool to radiograph thick structures and image denser object inside them.
Optimal efficiency of quantum transport in a disordered trimer
Creators: name: Giusteri, Giulio G.
name: Celardo, G. Luca
name: Borgonovi, Fausto
Publisher: name: arXiv
Year: 2016
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Biological Physics (physics.bio-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Disordered quantum networks, as those describing light-harvesting complexes, are often characterized by the presence of peripheral ring-like structures, where the excitation is initialized, and inner reaction centers (RC), where the excitation is trapped. The peripheral rings display coherent features: their eigenstates can be separated in the two classes of superradiant and subradiant states. Both are important to optimize transfer efficiency. In the absence of disorder, superradiant states have an enhanced coupling strength to the RC, while the subradiant ones are basically decoupled from it. Static on-site disorder induces a coupling between subradiant and superradiant states, creating an indirect coupling to the RC. The problem of finding the optimal transfer conditions, as a function of both the RC energy and the disorder strength, is very complex even in the simplest network, namely a three-level system. In this paper we analyze such trimeric structure choosing as initial condition a subradiant state, rather than the more common choice of an excitation localized on a site. We show that, while the optimal disorder is of the order of the superradiant coupling, the optimal detuning between the initial state and the RC energy strongly depends on system parameters: when the superradiant coupling is much larger than the energy gap between the superradiant and the subradiant levels, optimal transfer occurs if the RC energy is at resonance with the subradiant initial state, whereas we find an optimal RC energy at resonance with a virtual dressed state when the superradiant coupling is smaller than or comparable with the gap. The presence of dynamical noise, which induces dephasing and decoherence, affects the resonance structure of energy transfer producing an additional 'incoherent' resonance peak, which corresponds to the RC energy being equal to the energy of the superradiant state.
description: This article shares part of the introduction and most of Section II with arXiv:1508.01613, the remaining parts of the two articles treat different problems
Oceanic frontal divergence alters phytoplankton competition and distribution
Creators: name: Plummer, Abigail
name: Freilich, Mara
name: Benzi, Roberto
name: Choi, Chang Jae
name: Sudek, Lisa
name: Worden, Alexandra Z.
name: Toschi, Federico
name: Mahadevan, Amala
Publisher: name: arXiv
Year: 2022
Subjects: subject: Populations and Evolution (q-bio.PE)
subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: FOS: Biological sciences
subject: FOS: Physical sciences

description: Ecological interactions among phytoplankton occur in a moving fluid environment. Oceanic flows can modulate the competition and coexistence between phytoplankton populations, which in turn can affect ecosystem function and biogeochemical cycling. We explore the impact of submesoscale velocity gradients on phytoplankton ecology using observations, simulations, and theory. Observations reveal that the relative abundance of Synechoccocus oligotypes varies on 1--10 km scales at an ocean front with submesoscale velocity gradients at the same scale. Simulations in realistic flow fields demonstrate that regions of divergence in the horizontal flow field can substantially modify ecological competition and dispersal on timescales of hours to days. Regions of positive (negative) divergence provide an advantage (disadvantage) to local populations, resulting in up to ~20% variation in community composition in our model. We propose that submesoscale divergence is a plausible contributor to observed taxonomic variability at oceanic fronts, and can lead to regional variability in community composition.
description: 14 pages, 5 figures; SI: 13 pages, 13 figures
Legacy effect on a spring barley crop established the year after the cultivation of different grain legumes (sole cropped or as intercrops with spring cereal)
Creators: name: Walker, Robin
name: Topp, Kairsty
name: Watson, Christine
Publisher: name: Zenodo
Year: 2024

description: Intercropping is gaining interest amongst farmers, particularly those practicing organic or agroecological principles. Intercropping can help maintain crop yields under reduced input conditions through improved resource use efficiency & can help limit yield variation across seasons associated with unusual weather patterns.

Some national Governments are starting to become aware of the use of intercrops, particularly those Governments with policies striving to achieve Net Zero at some point in the future. Much of the research on intercrops to date has focused on the season the intercrops are grown, but legacy effects on soil & following crops in the rotation are less well known (e.g. Pappa et al. 2012).

This poster presents some work from the UK investigating carry-over spring barley yield the year after a series of sole grain or cereal & grain-legume / cereal intercrops were grown.
[C.1.03.b.] Hymne au drapeau rouge
Creators: name: Affre, Agustarello
name: Paul, Salomon
name: Agussol, Charlotte
name: Gresse, André
name: Noté, Jean
name: Verlet, Alice
name: Weber, Henri (1875-1941)
name: Bergeret, Léonce (1869-1940)
name: Dranem (1869-1935)
name: Mayol, Félix (1872-1941)
name: Marsalés, Paul (18..-.... ; Parolier)
Publisher: name: École des Hautes Études en Sciences Sociales; Association phonique des grands artistes (APGA)
Year: 2023
Subjects: http://www.idref.fr/027261468/id
http://www.idref.fr/028135350/id
http://www.idref.fr/034703829/id

Abstract
Variational Inequalities For The Differences Of Averages Over Lacunary Sequences
Creators: name: Demir, Sakin
Publisher: name: arXiv
Year: 2022
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 26D07, 26D15, 42B20

description: Let $f$ be a locally integrable function defined on $\mathbb{R}$, and let $(n_k)$ be a lacunary sequence. Define the operator $A_{n_k}$ by $$A_{n_k}f(x)=\frac{1}{n_k}\int_0^{n_k}f(x-t)\, dt.$$ We prove various types of new inequalities for the variation operator $$\mathcal{V}_sf(x)=\left(\sum_{k=1}^\infty|A_{n_k}f(x)-A_{n_{k-1}}f(x)|^s\right)^{1/s}$$ when $2\leq s<\infty$.
Cyberattaque d’un établissement : quelle conduite en pratique ?
Creators: name: Houtain, Serge
Publisher: name: Health & Co
Year: 2022
Subjects: Cybersécurité
Systèmes d’information
Gestion du risque
Gestion de crise

description: La bonne question à se poser : non pas SI vous subirez une cyberattaque, mais QUAND cela arrivera-t-il ? Anticiper pour vous préparer à faire face à une situation de crise est la première chose à faire. Comment ? Notamment en mesurant les différents impacts d’une cyberattaque sur la disponibilité, la confidentialité, et l’authenticité de vos données. Pour cela, l’analyse de risques est primordiale, tout comme le plan de sécurité, le plan de continuité d’activités. Inventoriez vos actifs (les valeurs à protéger), préparez vos check-lists, votre plan de communication, les listes de contacts, vérifiez et testez vos back-up, définissez clairement les rôles de chacun(e). Recensez les partenaires externes pouvant apporter une aide, comme votre fournisseur internet, une société de cybersécurité, les autorités (Cert.be, enquêteurs spécialisés de la police ou de la gendarmerie, Anssi). N’oubliez pas les sous-traitants de la chaîne logistique. Enfin, ne perdez pas de vue l’impact psychologique que peut engendrer une cyberattaque sur différentes catégories de personnel.
Radiation Damage and Recovery Properties of Common Plastics PEN (Polyethylene Naphthalate) and PET (Polyethylene Terephthalate) Using a 137Cs Gamma Ray Source Up To 1 MRad and 10 MRad
Creators: name: Wetzel, J.
name: Tiras, E.
name: Bilki, B.
name: Onel, Y.
name: Winn, D.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Instrumentation and Detectors (physics.ins-det)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: Polyethylene naphthalate (PEN) and polyethylene teraphthalate (PET) are cheap and common polyester plastics used throughout the world in the manufacturing of bottled drinks, containers for foodstuffs, and fibers used in clothing. These plastics are also known organic scintillators with very good scintillation properties. As particle physics experiments increase in energy and particle flux density, so does radiation exposure to detector materials. It is therefore important that scintillators be tested for radiation tolerance at these generally unheard of doses. We tested samples of PEN and PET using laser stimulated emission on separate tiles exposed to 1 MRad and 10 MRad gamma rays with a 137Cs source. PEN exposed to 1 MRad and 10 MRad emit 71.4% and 46.7% of the light of an undamaged tile, respectively, and maximally recover to 85.9% and 79.5% after 5 and 9 days, respectively. PET exposed to 1 MRad and 10 MRad emit 35.0% and 12.2% light, respectively, and maximally recover to 93.5% and 80.0% after 22 and 60 days, respectively.
Compositional Synthesis of Signal Temporal Logic Tasks via Assume-Guarantee Contracts
Creators: name: Liu, Siyuan
name: Saoud, Adnane
name: Jagtap, Pushpak
name: Dimarogonas, Dimos V.
name: Zamani, Majid
Publisher: name: arXiv
Year: 2022
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: In this paper, we focus on the problem of compositional synthesis of controllers enforcing signal temporal logic (STL) tasks over a class of continuous-time nonlinear interconnected systems. By leveraging the idea of funnel-based control, we show that a fragment of STL specifications can be formulated as assume-guarantee contracts. A new concept of contract satisfaction is then defined to establish our compositionality result, which allows us to guarantee the satisfaction of a global contract by the interconnected system when all subsystems satisfy their local contracts. Based on this compositional framework, we then design closed-form continuous-time feedback controllers to enforce local contracts over subsystems in a decentralized manner. Finally, we demonstrate the effectiveness of our results on two numerical examples.
Efficient quantum imaginary time evolution by drifting real time evolution: an approach with low gate and measurement complexity
Creators: name: Huang, Yifei
name: Shao, Yuguo
name: Ren, Weiluo
name: Sun, Jinzhao
name: Lv, Dingshun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Quantum imaginary time evolution (QITE) is one of the promising candidates for finding eigenvalues and eigenstates of a Hamiltonian. However, the original QITE proposal [Nat. Phys. 16, 205-210 (2020)], which approximates the imaginary time evolution by real time evolution, suffers from large circuit depth and measurements due to the size of the Pauli operator pool and Trotterization. To alleviate the requirement for deep circuits, we propose a time-dependent drifting scheme inspired by the qDRIFT algorithm [Phys. Rev. Lett 123, 070503 (2019)], which randomly draws a Pauli term out of the approximated unitary operation generators of QITE according to the strength and rescales that term by the total strength of the Pauli terms. We show that this drifting scheme removes the depth dependency on size of the operator pool and converges inverse linearly to the number of steps. We further propose a deterministic algorithm that selects the dominant Pauli term to reduce the fluctuation for the ground state preparation. Meanwhile, we introduce an efficient measurement reduction scheme across Trotter steps, which removes its cost dependence on the number of iterations, and a measurement distribution protocol for different observables within each time step. We also analyze the main source of error for our scheme both theoretically and numerically. We numerically test the validity of depth reduction, convergence performance, and faithfulness of measurement reduction approximation of our algorithms on LiH, BeH$_2$ and N$_2$ molecules. In particular, the results on LiH molecule give circuit depths comparable to that of the advanced adaptive variational quantum eigensolver~(VQE) methods while requiring much fewer measurements.
A Novel Simulation-Based Quality Metric for Evaluating Grasps on 3D Deformable Objects
Creators: name: Le, Tran Nguyen
name: Lundell, Jens
name: Abu-Dakka, Fares J.
name: Kyrki, Ville
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: Evaluation of grasps on deformable 3D objects is a little-studied problem, even if the applicability of rigid object grasp quality measures for deformable ones is an open question. A central issue with most quality measures is their dependence on contact points which for deformable objects depend on the deformations. This paper proposes a grasp quality measure for deformable objects that uses information about object deformation to calculate the grasp quality. Grasps are evaluated by simulating the deformations during grasping and predicting the contacts between the gripper and the grasped object. The contact information is then used as input for a new grasp quality metric to quantify the grasp quality. The approach is benchmarked against two classical rigid-body quality metrics on over 600 grasps in the Isaac gym simulation and over 50 real-world grasps. Experimental results show an average improvement of 18\% in the grasp success rate for deformable objects compared to the classical rigid-body quality metrics.
description: In review for IROS 2022
Gravitation Field Dynamics in Jeans Theory
Creators: name: Stupka, A. A.
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Closed system of time equations for nonrelativistic gravitation field and hydrodynamic medium was obtained by taking into account binary correlations of the field, which is the generalization of Jeans theory. Distribution function of the systemwas built on the basis of the Bogolyubov reduced description method. Calculations were carried out up to the first order of a perturbation theory in interaction. Adiabatic and enthropic types of perturbations were corrected and two new types of perturbations were found.
description: Time equations; Jeans theory; Bogolyubov reduced description method; perturbation types. http://www.ias.ac.in/article/fulltext/joaa/029/03-04/0379-0386
KANT: A tool for Grounding and Knowledge Management
Creators: name: González-Santamarta, Miguel Á.
name: Rodríguez-Lera, Francisco J.
name: Martín, Francisco
name: Fernández, Camino
name: Matellán, Vicente
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: FOS: Computer and information sciences

description: The intelligent robotics community usually organizes knowledge into symbolic and sub-symbolic levels. These two levels establish the set of symbols and rules for manipulating knowledge based on their (symbol system - dictionary). Thus, the correspondences -- Grounding or knowledge representation -- require specific software techniques for anchoring continuous and discrete state variables between these two levels. This paper presents the design and evaluation of an Open Source tool called KANT(Knowledge mAnagemeNT) to let different components of the system architecture controlling the robot query, save, edit, and delete the data from the Knowledge Base without having to worry about the type and the implementation of the source data. Using KANT, components managing subsymbolic information can smoothly interact with symbolic components. Besides, implementation mechanisms used in KANT, such as the use of in-memory and non-SQL databases, improve the performance of the knowledge management systems in ROS middleware, as shown by the evaluations presented in this work.
"Collective Intelligence as Infrastructure for Reducing Broad Global Catastrophic Risks"
Creators: name: Yang, Vicky Chuqiao
name: Sandberg, Anders
Publisher: name: Stanford Digital Repository
Year: 2023
Subjects: subject: global catastrophic risks
subject: collective intelligence
subject: collective behavior
subject: risk intersections

description: Academic and philanthropic communities have grown increasingly concerned with global catastrophic risks (GCRs), including artificial intelligence safety, pandemics, biosecurity, and nuclear war. Outcomes of many, if not all, risk situations hinge on the performance of human groups, such as whether governments or scientific communities can work effectively. We propose to think about these issues as Collective Intelligence (CI) problems—of how to process distributed information effectively. CI is a transdisciplinary research area, whose application involves human and animal groups, markets, robotic swarms, collections of neurons, and other distributed systems. In this article, we argue that improving CI in human groups can improve general resilience against a wide variety of risks. We summarize findings from the CI literature on conditions that improve human group performance, and discuss ways existing CI findings may be applied to GCR mitigation. We also suggest several directions for future research at the exciting intersection of these two emerging fields.
The phase transitions of the random-cluster and Potts models on slabs with $q \geq 1$ are sharp
Creators: name: Manolescu, Ioan
name: Raoufi, Aran
Publisher: name: arXiv
Year: 2016
Subjects: subject: Probability (math.PR)
subject: Mathematical Physics (math-ph)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We prove sharpness of the phase transition for the random-cluster model with $q \geq 1$ on graphs of the form $\mathcal{S} := \mathcal{G} \times S$, where $\mathcal{G}$ is a planar lattice with mild symmetry assumptions, and $S$ a finite graph. That is, for any such graph and any $q \geq 1$, there exists some parameter $p_c = p_c(\mathcal{S}, q)$, below which the model exhibits exponential decay and above which there exists a.s. an infinite cluster. The result is also valid for the random-cluster model on planar graphs with long range, compactly supported interaction. It extends to the Potts model via the Edwards-Sokal coupling.
description: 24 pages, 6 figures
Exploring the Efficiency of Advanced ML Techniques for Multi-Dimensional Cardiovascular Disease Prediction and Prognostic Analysis
Creators: name: Khadiza Akter Sweety, Md Moshiur Rahman, Azalfa Zainab, Omit Hasan, Monzurul Islam, MD SOJIB ALI
Publisher: name: Zenodo
Year: 2025

description: Since cardiovascular diseases (CVDs) remain a main cause of death globally, accurate and efficientdiagnosis tools are necessary. This work explores the use of machine learning methods, namely K-NearestNeighbors (KNN) and Random Forest (RF), for the prediction of cardiovascular diseases based on theCleveland Heart Disease dataset. Including age, blood pressure, cholesterol, and ECG measurements, thedataset comprises 14 continuous and categorical traits covering 7,000 individuals. Many data preparationmethods feature scaling, data splitting, one-hot encoding, and handling missing values were applied toensure the dataset was fit for model training. The predictive power of both Random Forest and KNN wasselected; Random Forest is an ensemble method combining forecasts from numerous decision trees, whilstKNN is a non-parametric classification algorithm based on the majority vote of its nearest neighbors.Hyperparameter adjustment for both models using grid search and cross-validation helped to identifyoptimal values for model performance. The models were evaluated using key performance measurescomprising accuracy, sensitivity, specificity, and Area Under the ROC Curve (AUC).Random Forest performed better than KNN in all evaluated criteria: its 92% accuracy, 89% sensitivity,94% specificity, and 0.95 AUC show this. Conversely, KNN boasts an accuracy of 86% but a reducedsensitivity and specificity. The results show that since Random Forest is better at separating patients withcardiovascular illness from those without, it offers a potential tool for early diagnosis. The results of thestudy indicate that by increasing early identification of cardiovascular diseases, machine learning modelsRandom Forest have enormous potential to improve patient outcomes and save healthcare expenses.
Collective Intelligence as Infrastructure for Reducing Broad Global Catastrophic Risks
Creators: name: Yang, Vicky Chuqiao
name: Sandberg, Anders
Publisher: name: arXiv
Year: 2022
Subjects: subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Physical sciences

description: Academic and philanthropic communities have grown increasingly concerned with global catastrophic risks (GCRs), including artificial intelligence safety, pandemics, biosecurity, and nuclear war. Outcomes of many, if not all, risk situations hinge on the performance of human groups, such as whether governments or scientific communities can work effectively. We propose to think about these issues as Collective Intelligence (CI) problems -- of how to process distributed information effectively. CI is a transdisciplinary research area, whose application involves human and animal groups, markets, robotic swarms, collections of neurons, and other distributed systems. In this article, we argue that improving CI in human groups can improve general resilience against a wide variety of risks. We summarize findings from the CI literature on conditions that improve human group performance, and discuss ways existing CI findings may be applied to GCR mitigation. We also suggest several directions for future research at the exciting intersection of these two emerging fields.
description: 10 pages, 3 figures. Perspective article
Full exceptional collections for anticanonical log del Pezzo surfaces
Creators: name: Gugiatti, Giulia
name: Rota, Franco
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: Primary 14F08, 14A20, 14E16, 14J45, secondary 14J33

description: Motivated by homological mirror symmetry, this paper constructs explicit full exceptional collections for the canonical stacks associated with the series of log del Pezzo surfaces constructed by Johnson and Kollár. These surfaces have cyclic quotient, non-Gorenstein, singularities. The construction involves both the $\mathrm{GL}(2,\mathbb{C})$ McKay correspondence, and the study of the minimal resolutions of the surfaces, which are birational to degree two del Pezzo surfaces. We show that a degree two del Pezzo surface arises in this way if and only if it admits a generalized Eckardt point, and in the course of the paper we classify the blow-ups of $\mathbb{P}^2$ giving rise to them. Our result on the adjoints of the functor of Ishii-Ueda applies to any finite small subgroup of $\mathrm{GL}(2,\mathbb{C})$.
description: 30 pages. Comments are very welcome! V2: 33 pages, clarified exposition and added detail to Section 4. Final version, to appear in Int. Math. Res. Not
The Jones polynomial of collections of open curves in 3-space
Creators: name: Barkataki, Kasturi
name: Panagiotou, Eleni
Publisher: name: arXiv
Year: 2022
Subjects: subject: Geometric Topology (math.GT)
subject: FOS: Mathematics
subject: 57M25

description: Measuring the entanglement complexity of collections of open curves in 3-space has been an intractable, yet pressing mathematical problem, relevant to a plethora of physical systems, such as in polymers and biopolymers. In this manuscript, we give a novel definition of the Jones polynomial that generalizes the classic Jones polynomial to collections of open curves in 3-space. More precisely, first we provide a novel definition of the Jones polynomial of linkoids (open link diagrams) and show that this is a well-defined single variable polynomial that is a topological invariant, which, for link-type linkoids, it coincides with that of the corresponding link. Using the framework introduced in Panagiotou and Kauffman 2020 arXiv:2001.01303, this enables us to define the Jones polynomial of collections of open and closed curves in 3-space. For collections of open curves in 3-space, the Jones polynomial has real coefficients and it is a continuous function of the curve coordinates. As the endpoints of the curves tend to coincide, the Jones polynomial tends to that of the resultant link. We demonstrate with numerical examples that the novel Jones polynomial enables us to characterize the topological and geometrical complexity of collections of open curves in 3-space for the first time.
OpenPodcar: an Open Source Vehicle for Self-Driving Car Research
Creators: name: Camara, Fanta
name: Waltham, Chris
name: Churchill, Grey
name: Fox, Charles
Publisher: name: arXiv
Year: 2022
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: Hardware Architecture (cs.AR)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: OpenPodcar is a low-cost, open source hardware and software, autonomous vehicle research platform based on an off-the-shelf, hard-canopy, mobility scooter donor vehicle. Hardware and software build instructions are provided to convert the donor vehicle into a low-cost and fully autonomous platform. The open platform consists of (a) hardware components: CAD designs, bill of materials, and build instructions; (b) Arduino, ROS and Gazebo control and simulation software files which provide standard ROS interfaces and simulation of the vehicle; and (c) higher-level ROS software implementations and configurations of standard robot autonomous planning and control, including the move_base interface with Timed-Elastic-Band planner which enacts commands to drive the vehicle from a current to a desired pose around obstacles. The vehicle is large enough to transport a human passenger or similar load at speeds up to 15km/h, for example for use as a last-mile autonomous taxi service or to transport delivery containers similarly around a city center. It is small and safe enough to be parked in a standard research lab and be used for realistic human-vehicle interaction studies. System build cost from new components is around USD7,000 in total in 2022. OpenPodcar thus provides a good balance between real world utility, safety, cost and research convenience.
description: Published in the Journal of Open Hardware
Dataset and codes for: Partitioning the apparent temperature sensitivity between autotrophic and heterotrophic protists
Creators: name: Chen, Bingzhang
name: Montagnes, David
name: Wang, Qing
name: Liu, Hongbin
name: Menden-Deuer, Susanne
Publisher: name: Zenodo
Year: 2022
Subjects: Activation energy
OLS linear regression
variance
thermal adaptation
warming

description: Conventional analyses suggest the metabolism of heterotrophs is thermally more sensitive than that of autotrophs, implying that warming leads to pronounced trophodynamic imbalances. However, these analyses inappropriately combine within- and across-taxa trends. We present a novel mathematic framework to separate these, revealing that the higher temperature sensitivity of heterotrophs is mainly caused by within-taxa responses which account for 92% of the difference between autotrophic and heterotrophic protists. This dataset contains both the datasets and R codes of per capita growth rates of autotrophic and heterotrophic protists as well as heterotrophic bacteria and insects.
description: We use the free software R (version 4.2.0) with R packages (foreach, nlme, plyr, dplyr) to analyse these datasets. R codes are also provided.Funding provided by: Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou)
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100019651
Award Number: SMSEGL20SC02Funding provided by: Universitetet i Bergen
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100005036
Award Number: FILAMO mobility grantFunding provided by: Leverhulme Trust
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100000275
Award Number: RPG-2020-389Funding provided by: National Science Foundation
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000001
Award Number: OCE-1736635
description: The datasets of per capita growth rates against temperature were compiled from the literature. Experimental data were included if they met the following criteria: at least 3 data points with positive growth rate (µ) and at least 2 unique temperatures at which positive µ were measured. To calculate apparent activation energy, we also removed data points with nonpositive µ and those with temperatures above the optimal growth temperature (defined as the temperature corresponding to the maximal µ).
The metric measure boundary of spaces with Ricci curvature bounded below
Creators: name: Bruè, Elia
name: Mondino, Andrea
name: Semola, Daniele
Publisher: name: arXiv
Year: 2022
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We solve a conjecture raised by Kapovitch, Lytchak, and Petrunin by showing that the metric measure boundary is vanishing on any ${\rm RCD}(K,N)$ space without boundary. Our result, combined with [Kapovitch-Lytchak-Petrunin '21], settles an open question about the existence of infinite geodesics on Alexandrov spaces without boundary raised by Perelman and Petrunin in 1996.
Sporadic SICs and the Normed Division Algebras
Creators: name: Stacey, Blake C.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Recently, Zhu classified all the SIC-POVMs whose symmetry groups act doubly transitively. Lattices of integers in the complex numbers, the quaternions and the octonions yield the key parts of these symmetry groups.
description: 2 pages, at the expense of deleting the definition of a Moufang loop