cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
title: Корпоративные ценные бумаги как инструмент инвестиционной привлекательности компаний
Creators: name: Асаул А.Н.
name:  Войнаренко М.П.
name:  Пономарева Н.А.
name:  Фалтинский Р.А.
Publisher: name: Институт проблем экономического возрождения
Year: 2008

description: Рассматривается природа основных групп ценных бумаг и признаки по которым они могут быть классифицированы, а так же преимущества ценных бумаг по сравнению с другими финансовыми инструментами. Особое место уделяемого рынку корпоративных ценных бумаг с позиции формирования механизмов собственной ресурсной базы компании, на основе которой они осуществляют свою экономическую деятельность. Раскрыто содержание дивидентной политики компании, учета и аудита корпоративных ценных бумаг. Представленные материалы предназначены для широкого круга жителей, интересующихся современными проблемами и тенденциями развития рынка корпоративных ценных бумаг служителям системы переподготовки и повышения квалификации специалистов, а также соискателей ученых степеней и званий. Предназначена для студентов изучающих дисциплину «Основы бизнеса на рынке ценных бумаг».
description: Discusses the nature of major groups of securities and the signs by which they can be classified, and the advantages of securities compared to other financial instruments. Special emphasis on the corporate securities market from a position of formation of mechanisms of its own resource base of the company, on the basis of which they carry out their economic activities. Revealed the contents dividendnoj company policy, accounting and auditing of corporate securities. The presented materials are intended for a wide circle of people interested in contemporary problems and trends of development of the market of corporate securities the servants of the system of retraining and advanced training of specialists, as well as the candidates for academic degrees and titles. Designed for students studying the discipline "the Fundamentals of business on the securities market".
title: Управление высшим учебным заведением в условиях инновационной экономики
Creators: name: Асаул А.Н.
name:  Капаров Б.М.
Publisher: name: Институт проблем экономического возрождения, Гуманистика
Year: 2007

description: В настоящей книге на основе теории и практического опыта управления, отражающих закономерности развития высших учебных заведений представлены в процессы их перехода в новое качественное состояние «инновационного вуза». Сформирована методология управления высшим учебным заведением на основе инновационного подхода к управлению бизнес-процессами вуза, позволяющая осуществить разбиение организации по центрам ответственности, сокращать время принятия решений, повышать мотивацию сотрудников, реализовывать инновационные стратегии. Представлено исследование методов оценки конкурентной позиции ВУЗа, для повышения качества производимых образовательных услуг и конкурентоспособности региона в целом в условиях глобализации образовательных стандартов. Пособие предназначено ученым, аспирантам, слушателям системы переподготовки и повышения квалификации специалистов, ученым-экономистам и руководителям высшего звена управления высшими учебными заведениями.
description: In this book on the basis of theory and practical management experience reflecting regularities of development of higher education institutions represented in the process of their transition into a new qualitative state "innovative University". The methods of management of higher educational institution on the basis of innovative approach to the management of business processes of the University, to carry out the split organization of the responsibility centers to reduce decision-making time, increase the motivation of employees to implement innovative strategies. Presents a study of the methods of assessing the competitive position of the University, to improve the quality of educational services and competitiveness of the region as a whole in the context of globalization of educational standards. The manual is intended for scientists, graduate students, listeners of system of retraining and advanced training of specialists, scientists-economists and executives of the management of higher education institutions.
On some modular contractions of the moduli space of stable pointed curves
Creators: name: Codogni, Giulio
name: Tasin, Luca
name: Viviani, Filippo
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14H10, 14E30, 14D23

description: The aim of this paper is to study some modular contractions of the moduli space of stable pointed curves. These new moduli spaces, which are modular compactifications of the moduli space of smooth pointed curves, are related with the minimal model program for the moduli space of stable pointed curves and have been introduced in a previous work of the authors. We interpret them as log canonical models of adjoints divisors and we then describe the Shokurov decomposition of a region of boundary divisors on the moduli space of stable pointed curves.
description: 30 pages, 1 figure. To appear on Algebra and Number Theory
Levels of Physical Performance and Physical Activity in Older Attendees at a Bone Health Clinic
Creators: name: Mcdonagh, Louise
Publisher: name: Royal College of Surgeons in Ireland
Year: 2022
Subjects: subject: 110317 Physiotherapy
subject: FOS: Clinical medicine

description: Introduction: Osteoporosis and sarcopenia are two common conditions seen in community dwelling older adults. Clear links between both are emerging regarding pathophysiology, shared risk factors and clinical assessment, with the more recent designation of a single syndrome ‘osteosarcopenia’. However, more studies are needed to better understand the factors associated with osteosarcopenia and its effect on clinical outcomes compared to its component conditions alone. In Ireland, limited information on physical performance and activity exists in older adults at risk of osteosarcopenia. Aim and objectives: The aim of this study was to examine levels of physical performance and physical activity in patients attending a bone health clinic. Methods: A cross sectional study was conducted. Community dwelling older adults attending a bone health clinic in an acute Irish hospital were invited to participate. Primary outcome measures for physical performance and activity were; grip strength, the Short Physical Performance Battery (SPPB), the Timed Up and Go test (TUG) and the International Physical Activity Questionnaire (IPAQ). Secondary outcomes included; Bone Mineral Density T-scores, diagnosis of probable sarcopenia, osteosarcopenia, frailty, fractures and falls history. Results: A total of 104 participants took part in the study. Median age was 76 (IQR 12), ranging from 65 to 91 years. Females accounted for the majority (88.5%) of recruited participants. Osteoporosis was present in 63% and osteopenia in 31%. Low levels of physical activity were identified in 29%. Probable Sarcopenia ranged from 17 to 37%. Osteosarcopenia was identified in 9 to 33% depending on four possible definitions. The most common associations with osteosarcopenia were with frailty and low BMI. Physical performance (grip strength, SPPB and TUG) and physical activity (IPAQ) were negatively associated with increased age, comorbidities, frailty and falls. Conclusion: A high proportion of participants were classified as having osteoporosis, probable sarcopenia and osteosarcopenia. A range of factors were associated with osteosarcopenia including physical performance and physical activity, highlighting common factors shared in both osteoporosis and sarcopenia in older adults. Physical performance and activity measures were easily assessed in this setting and could provide useful information to clinicians about patients and their potential risks/deficits.
Holomorphic semigroups and Sarason's characterization of vanishing mean oscillation
Creators: name: Chalmoukis, Nikolaos
name: Daskalogiannis, Vassilis
Publisher: name: arXiv
Year: 2021
Subjects: subject: Complex Variables (math.CV)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: Primary: 30H05, 47D06 47B33, Secondary 46E15

description: It is a classical theorem of Sarason that an analytic function of bounded mean oscillation ($BMOA$), is of vanishing mean oscillation if and only if its rotations converge in norm to the original function as the angle of the rotation tends to zero. In a series of two papers Blasco et al. have raised the problem of characterizing all semigroups of holomorphic functions $(φ_t)$ that can replace the semigroup of rotations in Sarason's Theorem. We give a complete answer to this question, in terms of a logarithmic vanishing oscillation condition on the infinitesimal generator of the semigroup $(φ_t)$. In addition we confirm the conjecture of Blasco et al. that all such semigroups are elliptic. We also investigate the analogous question for the Bloch and the little Bloch space and surprisingly enough we find that the semigroups for which the Bloch version of Sarason's Theorem holds are exactly the same as in the $BMOA$ case.
description: 18 pages, 2 figures
Vertical Equilibrium, Energetics, and Star Formation Rates in Magnetized Galactic Disks Regulated by Momentum Feedback from Supernovae
Creators: name: Kim, Chang-Goo
name: Ostriker, Eve C.
Publisher: name: arXiv
Year: 2015
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Recent hydrodynamic (HD) simulations have shown that galactic disks evolve to reach well-defined statistical equilibrium states. The star formation rate (SFR) self-regulates until energy injection by star formation feedback balances dissipation and cooling in the interstellar medium (ISM), and provides vertical pressure support to balance gravity. In this paper, we extend our previous models to allow for a range of initial magnetic field strengths and configurations, utilizing three-dimensional, magnetohydrodynamic (MHD) simulations. We show that a quasi-steady equilibrium state is established as rapidly for MHD as for HD models unless the initial magnetic field is very strong or very weak, which requires more time to reach saturation. Remarkably, models with initial magnetic energy varying by two orders of magnitude approach the same asymptotic state. In the fully saturated state of the fiducial model, the integrated energy proportions E_kin:E_th:E_mag,t:E_mag,o are 0.35:0.39:0.15:0.11, while the proportions of midplane support P_turb:P_th:Π_mag,t:Π_mag,o are 0.49:0.18:0.18:0.15. Vertical profiles of total effective pressure satisfy vertical dynamical equilibrium with the total gas weight at all heights. We measure the "feedback yields" η_c=P_c/Σ_SFR (in suitable units) for each pressure component, finding that η_turb~4 and η_th~1 are the same for MHD as in previous HD simulations, and η_mag,t~1. These yields can be used to predict the equilibrium SFR for a local region in a galaxy based on its observed gas and stellar surface densities and velocity dispersions. As the ISM weight (or dynamical equilibrium pressure) is fixed, an increase in $η$ from turbulent magnetic fields reduces the predicted Σ_SFR by ~25% relative to the HD case.
description: To appear in ApJ
Optimal dose escalation methods using deep reinforcement learning in phase I oncology trials
Creators: name: Matsuura, Kentaro
name: Sakamaki, Kentaro
name: Honda, Junya
name: Sozu, Takashi
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: In phase I trials of a novel anticancer drug, one of the most important objectives is to identify the maximum tolerated dose (MTD). To this end, a number of methods have been proposed and evaluated under various scenarios. However, the percentages of correct selection (PCS) of MTDs using previous methods are insufficient to determine the dose for late-phase trials. The purpose of this study is to construct an action rule for escalating or de-escalating the dose and continuing or stopping the trial to increase the PCS as much as possible. We show that deep reinforcement learning with an appropriately defined state, action, and reward can be used to construct such an action selection rule. The simulation study shows that the proposed method can improve the PCS compared with the 3 + 3 design, CRM, BLRM, BOIN, mTPI, and i3 + 3 methods.
The Development of a Novel 3D Bioprinted Smart Responsive Dressing to Treat Skin Scars
Creators: name: Ibanez, Rita
Publisher: name: Royal College of Surgeons in Ireland
Year: 2022
Subjects: subject: 100404 Regenerative Medicine (incl. Stem Cells and Tissue Engineering)
subject: FOS: Medical biotechnology

description: The skin is the largest organ in the human body with a primary role of protecting against environmental insults such as infection and dehydration. Skin injuries affect millions of people worldwide and can lead to significant morbidity such as the loss of a body part, disfiguration, or even death. After large injuries, the skin is unable to regenerate, instead healing through intense wound contraction that leads to non-functional scar tissue formation. To overcome this limitation, the primary research goal of this thesis was to develop a new bilayered ‘responsive’ skin scaffold with dual action i.e., preventing bacterial infection while enhancing skin wound healing, ultimately promoting successful regeneration of a healthy, scar-less, full thickness skin tissue.
Lorentzian fermionic action by twisting euclidean spectral triples
Creators: name: Martinetti, Pierre
name: Singh, Devashish
Publisher: name: arXiv
Year: 2019
Subjects: subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We show how the twisting of spectral triples induces a transition from an euclidean to a lorentzian noncommutative geometry, at the level of the fermionic action. More specifically, we compute the fermionic action for the twisting of a closed euclidean manifold, then that of a two-sheet euclidean manifold, and finally the twisting of the spectral triple of electrodynamics in euclidean signature. We obtain the Weyl and the Dirac equations in lorentzian signature (and in the temporal gauge). The twisted fermionic action is then shown to be invariant under an action of the Lorentz group. This permits to interprete the field of 1-form that parametrizes the twisted fluctuation of a manifold as the (dual) of the energy momentum 4-vector.
description: Enhanced version. One section added on Lorentz invariance
Answering an open question in fuzzy metric spaces
Creators: name: Wu, Xinxing
name: Chen, Guanrong
Publisher: name: arXiv
Year: 2019
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics

description: This paper answers affirmatively Problem 32 posted in \cite{GMM2012}, proving that, for every stationary fuzzy metric space $(X, M, *)$, the function $M_y(x):=M(x,y)$ defined therein is $\mathbb{R}$-uniformly continuous for all $y\in X$, and furthermore proves that the function $M$ is $\mathbb{R}$-uniformly continuous.
Story Realization: Expanding Plot Events into Sentences
Creators: name: Ammanabrolu, Prithviraj
name: Tien, Ethan
name: Cheung, Wesley
name: Luo, Zhaochen
name: Ma, William
name: Martin, Lara J.
name: Riedl, Mark O.
Publisher: name: arXiv
Year: 2019
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Neural network based approaches to automated story plot generation attempt to learn how to generate novel plots from a corpus of natural language plot summaries. Prior work has shown that a semantic abstraction of sentences called events improves neural plot generation and and allows one to decompose the problem into: (1) the generation of a sequence of events (event-to-event) and (2) the transformation of these events into natural language sentences (event-to-sentence). However, typical neural language generation approaches to event-to-sentence can ignore the event details and produce grammatically-correct but semantically-unrelated sentences. We present an ensemble-based model that generates natural language guided by events.We provide results---including a human subjects study---for a full end-to-end automated story generation system showing that our method generates more coherent and plausible stories than baseline approaches.
description: In proceedings of AAAI 2020
A Bochner Formula on Path Space for the Ricci Flow
Creators: name: Kennedy, Christopher
Publisher: name: arXiv
Year: 2019
Subjects: subject: Differential Geometry (math.DG)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics
subject: 53E20

description: We generalize the classical Bochner formula for the heat flow on evolving manifolds $(M,g_{t})_{t \in [0,T]}$ to an infinite-dimensional Bochner formula for martingales on parabolic path space $P\mathcal{M}$ of space-time $\mathcal{M} = M \times [0,T]$. Our new Bochner formula and the inequalities that follow from it are strong enough to characterize solutions of the Ricci flow. Specifically, we obtain characterizations of the Ricci flow in terms of Bochner inequalities on parabolic path space. We also obtain gradient and Hessian estimates for martingales on parabolic path space, as well as condensed proofs of the prior characterizations of the Ricci flow from Haslhofer-Naber \cite{HN18a}. Our results are parabolic counterparts of the recent results in the elliptic setting from \cite{HN18b}.
description: 31 pages
title: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
title: August, 2022
titleType: AlternativeTitle
Creators: name: Indonesia Journal On Computing (Indo-JC)
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: Vol. 7 No. 2 (2022): August, 2022
description: Lung Cancer Prediction Model using Logistic Linear Regression with Imbalanced Dataset...1-14 Performance Analysis of PPG Signal Denoising Method Using DWT and EMD for Detection of PVC and AF Arrhytmias...35-44 Music Recommender System Using K-Nearest Neighbor and Particle Swarm Optimization...45-52 E-Commerce Recommender System on the Shopee Platform Using Apriori Algorithm...53-64 Video Based Fire Detection Method Using CNN and YOLO Version 4...65-78 Sentiment Analysis of University Social Media Using Support Vector Machine and Logistic Regression Methods...15-24 Energy Efficiency Analysis of Network Slicing Algorithm on WiFI Network...25-34 Forecasting Fuel Consumption Based-On OBD II Data...93-102 Pengembangan Media Pelaporan Kegiatan Asisten Laboratorium Berbasis Web di Prodi Pendidikan Multimedia...79-92 Perancangan Aplikasi Pembelajaran Pemrograman Dasar Bahasa C untuk Kelas X Multimedia SMKN 1 Majalaya...103-114
Landscape Complexity for the Empirical Risk of Generalized Linear Models
Creators: name: Maillard, Antoine
name: Arous, Gérard Ben
name: Biroli, Giulio
Publisher: name: arXiv
Year: 2019
Subjects: subject: Machine Learning (stat.ML)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Machine Learning (cs.LG)
subject: Probability (math.PR)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We present a method to obtain the average and the typical value of the number of critical points of the empirical risk landscape for generalized linear estimation problems and variants. This represents a substantial extension of previous applications of the Kac-Rice method since it allows to analyze the critical points of high dimensional non-Gaussian random functions. Under a technical hypothesis, we obtain a rigorous explicit variational formula for the annealed complexity, which is the logarithm of the average number of critical points at fixed value of the empirical risk. This result is simplified, and extended, using the non-rigorous Kac-Rice replicated method from theoretical physics. In this way we find an explicit variational formula for the quenched complexity, which is generally different from its annealed counterpart, and allows to obtain the number of critical points for typical instances up to exponential accuracy.
description: 18 pages and 18 pages appendix. Update to match the published version (v2). Corrections of remaining small typos (v3). Simplification of a technical argument in Appendix A (v4) and clarification of a technical hypothesis (v5)
On canonical radial Kaehler metrics
Creators: name: Loi, Andrea
name: Salis, Filippo
name: Zuddas, Fabio
Publisher: name: arXiv
Year: 2021
Subjects: subject: Differential Geometry (math.DG)
subject: FOS: Mathematics

description: We prove that a radial Kaehler metric g is Kaehler-Einstein if and only if one of the following conditions is satisfied: 1. g is extremal and it is associated to a Kaehler-Ricci soliton; 2. two different generalized scalar curvatures of g are constant; 3. g is extremal (not cscK) and one of its generalized scalar curvature is constant.
description: 11 pages. arXiv admin note: text overlap with arXiv:2105.10695
A New Extension of Chubanov's Method to Symmetric Cones
Creators: name: Kanoh, Shin-ichi
name: Yoshise, Akiko
Publisher: name: arXiv
Year: 2021
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics

description: We propose a new variant of Chubanov's method for solving the feasibility problem over the symmetric cone by extending Roos's method (2018) of solving the feasibility problem over the nonnegative orthant. The proposed method considers a feasibility problem associated with a norm induced by the maximum eigenvalue of an element and uses a rescaling focusing on the upper bound for the sum of eigenvalues of any feasible solution to the problem. Its computational bound is (i) equivalent to that of Roos's original method (2018) and superior to that of Lourenço et al.'s method (2019) when the symmetric cone is the nonnegative orthant, (ii) superior to that of Lourenço et al.'s method (2019) when the symmetric cone is a Cartesian product of second-order cones, (iii) equivalent to that of Lourenço et al.'s method (2019) when the symmetric cone is the simple positive semidefinite cone, and (iv) superior to that of Pena and Soheili's method (2017) for any simple symmetric cones under the feasibility assumption of the problem imposed in Pena and Soheili's method (2017). We also conduct numerical experiments that compare the performance of our method with existing methods by generating instances in three types: strongly (but ill-conditioned) feasible instances, weakly feasible instances, and infeasible instances. For any of these instances, the proposed method is rather more efficient than the existing methods in terms of accuracy and execution time.
description: 46 pages; Department of Policy and Planning Sciences Discussion Paper Series No. 1378, University of Tsukuba
Perancangan Aplikasi Pembelajaran Pemrograman Dasar Bahasa C untuk Kelas X Multimedia SMKN 1 Majalaya
Creators: name: Rizki Cahya Iskandar
name: Permana, Fahmi Candra
name: Firmansyah, Feri Hidayatullah
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: Penggunaan media sangat dibutuhkan untuk mengatasi media pembelajaran yang terbatas di sekolah, mengatasi kejenuhan dan kebingungan belajar tanpa alat untuk melakukan coding secara langsung. penggunaan media yang tepat dan bervariasi dalam proses pembelajaran dapat meningkatkan motivasi belajar dan dapat mengurangi sikap pasif peserta didik. Berdasarkan hal tersebut peneliti bermaksud mengembangkan media pembelajaran yang dapat digunakan oleh siswa di kelas X SMKN 1 Majalaya dengan tujuan dari penelitian ini ialah menghasilkan suatu produk media pembelajaran aplikasi Pembelajaran Pemrograman C pada mata pelajarangan Pemrograman Dasar dengan menggunakan dengan model penelitian ADDIE (Analysis, Design, Develoment, Implementation and Evaluation). Hasil dari produk tersebut berupa aplikasi yang dipasang di perangkat android dengan pembuatan aplikasi menggunakan perangkat lunak Construct 2 dan desain dengan Adobe Illustrator dibantu Canva. Hasil dari validasi kelayakan media pembelajaran yaitu validasi materi meperoleh rata-rata 91,75%, dan validasi media memperoleh rata-rata 90,11%, secara keseluruhan hasil validasi berpredikat sangat layak. Untuk uji coba kepada peserta didik memperoleh presentase 91,98% dengan predikat sangat layak. Dari hasil tersebut dapat disimpulkan bahwa aplikasi Pembelajaran Pemrograman C layak digunakan dalam mata pelajaran Pemrograman dasar pada program multimedia.
description: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
Observational constraint on Dark Energy from Quantum Uncertainty
Creators: name: Huang, Long
name: Yang, Xiao feng
name: Liu, Xiang
Publisher: name: arXiv
Year: 2021
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We explore the theoretical possibility that dark energy density is derived from the vacuum particle pairs together with the quantum fluctuation of space-time. By assuming the vacuum particle pairs fall into the horizon boundary of the cosmos with the expansion of the universe, we can deduce the uncertainty in the relative position of particle pairs based on the quantum fluctuation of space-time, which can be used to estimate their or dark energy density. Furthermore, we attempt to explain the origin of negative pressure from the increasing entropy density of the Boltzmann system and derive the equation for the state parameter, which is consistent with the specific equations of state for dark energy. Finally, we fit the models to the SNIa Pantheon sample and Planck 2018 CMB angular power spectra and give statistical results for the cosmology parameters.
Forecasting Fuel Consumption Based-On OBD II Data
Creators: name: Nurcahya, Satrio
name: Erfianto, Bayu
name: Setyorini, Setyorini
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: Cyber Physical System consists of computing devices that communicate with each other by interacting with the physical world assisted by sensors and actuators with an iterative response. Intelligent Transportation System which aims to apply information and communication technology in every transportation area. Applying ITS to vehicles, especially in the aspect of fuel consumption, vehicles must begin to be able to analyze the use of fuel that is being used to provide users so that users can be more effective. Regarding the analysis of fuel consumption, several researchers have done this with several existing methods such as ANN, SVM and the like. The use of the Multivariate time series method is used as a solution to the forecast analysis of vehicle fuel consumption. In this study, data from vehicles obtained from OBD-II will be processed using the Multivariate time series method with output in the form of analysis and visual data from the forecast with parameters related to RPM, TPS and fuel consumption. So the expected result is the relationship between RPM, TPS and fuel consumption as well as the formation of a system model to obtain sample data related to RPM, TPS and fuel consumption.
description: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
A Preference for Cold Dark Matter over Superfluid Dark Matter in Local Milky Way Data
Creators: name: Lisanti, Mariangela
name: Moschella, Matthew
name: Outmezguine, Nadav Joseph
name: Slone, Oren
Publisher: name: arXiv
Year: 2019
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: There are many well-known correlations between dark matter and baryons that exist on galactic scales. These correlations can essentially be encompassed by a simple scaling relation between observed and baryonic accelerations, historically known as the Mass Discrepancy Acceleration Relation (MDAR). The existence of such a relation has prompted many theories that attempt to explain the correlations by invoking additional fundamental forces on baryons. The standard lore has been that a theory that reduces to the MDAR on galaxy scales but behaves like cold dark matter (CDM) on larger scales provides an excellent fit to data, since CDM is desirable on scales of clusters and above. However, this statement should be revised in light of recent results showing that a fundamental force that reproduces the MDAR is challenged by local Milky Way dynamics and rotation curve data between 5-18 kpc. In this study, we test this claim on the example of Superfluid Dark Matter. We find that a standard CDM model is preferred over a static superfluid profile assuming a steady-state Galactic disk and discuss the robustness of this conclusion to disequilibrium effects. This preference is due to the fact that the superfluid model over-predicts vertical accelerations, even while reproducing galactic rotation curves. Our results establish an important criterion that any dark matter model must satisfy within the Milky Way.
description: 6 pages, 2 figures, 3 appendices; updated to match published version (v2)
The monodromy pairing for logarithmic 1-motifs
Creators: name: Wise, Jonathan
Publisher: name: arXiv
Year: 2019
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics
subject: 14K05, 14A21, 14H40, 14F42, 14D07, 14C22, 14T10, 14T90

description: We describe a 3-step filtration on all logarithmic abelian varieties with constant degeneration. The obstruction to descending this filtration, as a variegated extension, from logarithmic geometry to algebraic geometry is encoded in a bilinear pairing valued in the characteristic monoid of the base. This pairing is realized as the monodromy pairing in p-adic, l-adic, and Betti cohomolgies, and recovers the Picard-Lefschetz transformation in the case of Jacobians. The Hodge realization of the filtration is the monodromy weight filtration on the limit mixed Hodge structure.
description: 40 pages; this version contains many corrections, as well as new sections about logarithmic tori and duality for logarithmic 1-motifs; comments welcome!
Laser-Driven Multiferroics and Ultrafast Spin Current Generation
Creators: name: Sato, Masahiro
name: Takayoshi, Shintaro
name: Oka, Takashi
Publisher: name: arXiv
Year: 2016
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We propose an ultrafast way to generate spin chirality and spin current in a class of multiferroic magnets using a terahertz circularly polarized laser. Using the Floquet formalism for periodically driven systems, we show that it is possible to dynamically control the Dzyaloshinskii-Moriya interaction in materials with magnetoelectric coupling. This is supported by numerical calculations, by which additional resonant phenomena are found. Specifically, when a static magnetic field is applied in addition to the circularly polarized laser, a large resonant enhancement of spin chirality is observed resembling the electron spin resonance. Spin current is generated when the laser is spatially modulated by chiral plasmonic structures and could be detected using optospintronic devices.
description: 5 pages, 5 figures, 2 columns + Supplemental Material (4 pages, 5 figures)
Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor Graphs
Creators: name: Chen, Jiayu
name: Chen, Jingdi
name: Lan, Tian
name: Aggarwal, Vaneet
Publisher: name: arXiv
Year: 2022
Subjects: subject: Multiagent Systems (cs.MA)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: Covering skill (a.k.a., option) discovery has been developed to improve the exploration of reinforcement learning in single-agent scenarios with sparse reward signals, through connecting the most distant states in the embedding space provided by the Fiedler vector of the state transition graph. However, these option discovery methods cannot be directly extended to multi-agent scenarios, since the joint state space grows exponentially with the number of agents in the system. Thus, existing researches on adopting options in multi-agent scenarios still rely on single-agent option discovery and fail to directly discover the joint options that can improve the connectivity of the joint state space of agents. In this paper, we show that it is indeed possible to directly compute multi-agent options with collaborative exploratory behaviors among the agents, while still enjoying the ease of decomposition. Our key idea is to approximate the joint state space as a Kronecker graph -- the Kronecker product of individual agents' state transition graphs, based on which we can directly estimate the Fiedler vector of the joint state space using the Laplacian spectrum of individual agents' transition graphs. This decomposition enables us to efficiently construct multi-agent joint options by encouraging agents to connect the sub-goal joint states which are corresponding to the minimum or maximum values of the estimated joint Fiedler vector. The evaluation based on multi-agent collaborative tasks shows that the proposed algorithm can successfully identify multi-agent options, and significantly outperforms prior works using single-agent options or no options, in terms of both faster exploration and higher cumulative rewards.
Random Chain Complexes
Creators: name: Ginzburg, Viktor L.
name: Pasechnik, Dmitrii V.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Combinatorics (math.CO)
subject: Symplectic Geometry (math.SG)
subject: FOS: Mathematics
subject: 05E99, 55U15, 53D99, 60D99

description: We study random, finite-dimensional, ungraded chain complexes over a finite field and show that for a uniformly distributed differential a complex has the smallest possible homology with the highest probability: either zero or one-dimensional homology depending on the parity of the dimension of the complex. We prove that as the order of the field goes to infinity the probability distribution concentrates in the smallest possible dimension of the homology. On the other hand, the limit probability distribution, as the dimension of the complex goes to infinity, is a super-exponentially decreasing, but strictly positive, function of the dimension of the homology.
description: 7 pages, slight revision of v.1 with an important reference added, to appear in Arnold Mathematical Journal
Efficient quantum algorithm for solving structured problems via multi-step quantum computation
Creators: name: Wang, Hefeng
name: Yu, Sixia
name: Xiang, Hua
Publisher: name: arXiv
Year: 2019
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: In classical computation, a problem can be solved in multiple steps where calculated results of each step can be copied and used repeatedly. While in quantum computation, it is difficult to realize a similar multi-step computation process because the no-cloning theorem forbids making copies of an unknown quantum state perfectly. We find a method based on quantum resonant transition to protect and reuse an unknown quantum state that encodes calculated results of an intermediate step without making copies of the state, and present a quantum algorithm that solves a problem via a multi-step quantum computation process. This algorithm can achieve an exponential speedup over classical algorithms in solving a type of structured search problems.
description: 36 pages, 4 figures, paper is re-formulated, more details are added
Pengembangan Media Pelaporan Kegiatan Asisten Laboratorium Berbasis Web di Prodi Pendidikan Multimedia
Creators: name: Wiriadikusumah, Alifiandi Nursanni
name: Firmansyah, Feri Hidayatullah
name: Permana, Fahmi Candra
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: Keperluan administrasi pelaporan kegiatan asisten laboratorium di Prodi Pendidikan Multimedia UPI Kampus Cibiru masih menggunakan media konvensional. Kasus pandemi virus Covid-19 yang terjadi menyebabkan permasalahan yang berimplikasi pada penundaan pencairan honor asisten laboratorium. Penelitian ini adalah sebuah pengembangan media pelaporan kegiatan asisten laboratorium di program studi pendidikan multimedia upi cibiru berbasis web dengan tujuan untuk mengatasi masalah yang berkaitan dengan keperluan administrasi pelaporan kegiatan asisten laboratorium. Pada penelitian ini menggunakan metode Waterfall sebagai metode pengembangan, dalam implementasinya penulis memanfaatkan ekosistem Node.js dan layanan firebase, serta membuat desain antarmuka yang responsif sehingga meningkatkan aspek aksesibilitas media. Hasil pengujian blackbox menunjukan sistem yang dibuat sudah berjalan dengan baik, sedangkan pengujian aksesibilitas seluruh halaman media yang dibuat dengan menguji di 2 tipe perangkat yang berbeda yaitu desktop dan mobile menggunakan tools Chrome Lighthouse menunjukan hasil dengan tingkat yang sangat baik dengan nilai rata rata 96,2 dari 10 halaman yang diuji. Pengembangan media pelaporan kegiatan berbasis web dapat membantu asisten laboratorium dalam mengatasi masalah keperluan administrasi konvensional.
description: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
Quantum-to-classical transition and imprints of continuous spontaneous localization in classical bouncing universes
Creators: name: Stargen, D. Jaffino
name: Sreenath, V.
name: Sriramkumar, L.
Publisher: name: arXiv
Year: 2016
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: The perturbations in the early universe are generated as a result of the interplay between quantum field theory and gravitation. Since these primordial perturbations lead to the anisotropies in the cosmic microwave background and eventually to the inhomogeneities in the Large Scale Structure (LSS), they provide a unique opportunity to probe issues which are fundamental to our understanding of quantum physics and gravitation. One such fundamental issue that remains to be satisfactorily addressed is the transition of the primordial perturbations from their quantum origins to the LSS which can be characterized completely in terms of classical quantities. Classical bouncing universes provide an alternative to the more conventional inflationary paradigm as they can help overcome the horizon problem in a fashion very similar to inflation. While the problem of the quantum-to-classical transition of the primordial perturbations has been investigated extensively in the context of inflation, we find that there has been a rather limited effort towards studying the issue in classical bouncing universes. In this work, we analyze certain aspects of this problem with the example of tensor perturbations produced in classical matter and near-matter bouncing universes. We investigate the issue mainly from two perspectives. Firstly, we approach the problem by examining the extent of squeezing of a quantum state associated with the tensor perturbations with the help of the Wigner function. Secondly, we analyze the issue from the perspective of the quantum measurement problem. In particular, we study the effects of wave function collapse, using a phenomenological model known as continuous spontaneous localization, on the tensor power spectra. We conclude with a discussion of results.
description: v1: 20 pages, 6 figures; v2: 21 pages, 6 figures, author added, analytical solution for r_k constructed, discussions improved; v3: 25 pages, 6 figures, discussion improved, published in Int. J. Mod. Phys. D
Memória e capacidade funcional de idosos fisicamente ativos
Creators: name: Memória E Capacidade Funcional De Idosos Fisicamente Ativos
name: Izamara Rafaelly Da Silva Peres
name: Karlla Bezerra Padilha
name: De Lima, Flavio Anselmo Silva
name: Jônatas De França Barros)
Publisher: name: Zenodo
Year: 2017

description: Link do Evento: http://cic.propesq.ufrn.br/anais.php
Video Based Fire Detection Method Using CNN and YOLO Version 4
Creators: name: Farhan, Muhammad Salman
name: Febryanti Sthevanie
name: Kurniawan Nur Ramadhani
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: Fire detection is one of the technological efforts to prevent fire incidents. This is very important because the damage caused by fires can be minimized by having a fire detector. There are two types of fire detection, namely traditional-based and computer vision-based. Traditional-based fire detection has many shortcomings, one of which requires a close fire distance for activation. Hence, computer vision-based fire detection is made to cover the shortcomings of traditional-based fire detection. Therefore, in this study, we propose a video-based fire detection using a Convolutional Neural Network (CNN) Deep Learning approach supported by You Only Look Once (YOLO) object detection model version four. This study uses a dataset of various fire scenarios in the form of images and videos. The fire detection built in this study has an accuracy of above 90% with an average detection speed of 34.17 Frame Per Second (FPS).
description: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
Envelope Overshooting in Low Metallicity Intermediate- and High-mass Stars: a test with the Sagittarius Dwarf Irregular Galaxy
Creators: name: Tang, Jing
name: Bressan, Alessandro
name: Slemer, Alessandra
name: Marigo, Paola
name: Girardi, Leo
name: Bianchi, Luciana
name: Rosnfield, Phil
name: Momany, Yazan
Publisher: name: arXiv
Year: 2015
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We check the performance of the {\sl\,PARSEC} tracks in reproducing the blue loops of intermediate age and young stellar populations at very low metallicity. We compute new evolutionary {\sl\,PARSEC} tracks of intermediate- and high-mass stars from 2\Msun to 350\Msun with enhanced envelope overshooting (EO), EO=2\HP and 4\HP, for very low metallicity, Z=0.0005. The input physics, including the mass-loss rate, has been described in {\sl\,PARSEC}~V1.2 version. By comparing the synthetic color-magnitude diagrams (CMDs) obtained from the different sets of models with envelope overshooting EO=0.7\HP (the standard {\sl\,PARSEC} tracks), 2\HP and 4\HP, with deep observations of the Sagittarius dwarf irregular galaxy (SagDIG), we find an overshooting scale EO=2\HP to best reproduce the observed loops. This result is consistent with that obtained by \citet{Tang_etal14} for Z in the range 0.001-0.004. We also discuss the dependence of the blue loop extension on the adopted instability criterion and find that, contrary to what stated in literature, the Schwarzschild criterion, instead of the Ledoux criterion, favours the development of blue loops. Other factors that could affect the CMD comparisons such as differential internal extinction or the presence of binary systems are found to have negligible effects on the results. We thus confirm that, in presence of core overshooting during the H-burning phase, a large envelope overshooting is needed to reproduce the main features of the central He-burning phase of intermediate- and high-mass stars.
description: 12 pages, 9 figures, accepted by MNRAS
On the minimum number of minimal codewords
Creators: name: Cruz, Romar dela
name: Kiermaier, Michael
name: Kurz, Sascha
name: Wassermann, Alfred
Publisher: name: arXiv
Year: 2019
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: We study the minimum number of minimal codewords in linear codes from the point of view of projective geometry. We derive bounds and in some cases determine the exact values. We also present an extension to minimal subcode supports.
description: 8 pages, 1 table
Ordinal sum of two binary operations being a t-norm on bounded lattice
Creators: name: Wu, Xinxing
name: Zhang, Qin
name: Zhang, Xu
name: Çaylı, Gül Deniz
name: Wang, Lidong
Publisher: name: arXiv
Year: 2020
Subjects: subject: General Mathematics (math.GM)
subject: FOS: Mathematics

description: The ordinal sum of t-norms on a bounded lattice has been used to construct other t-norms. However, an ordinal sum of binary operations (not necessarily t-norms) defined on the fixed subintervals of a bounded lattice may not be a t-norm. Some necessary and sufficient conditions are presented in this paper for ensuring that an ordinal sum on a bounded lattice of two binary operations is, in fact, a t-norm. In particular, the results presented here provide an answer to an open problem put forward by Ertuğrul and Yeşilyurt [Ordinal sums of triangular norms on bounded lattices, Inf. Sci., 517 (2020) 198-216].
description: arXiv admin note: text overlap with arXiv:1907.06638 by other authors
E-Commerce Recommender System on the Shopee Platform Using Apriori Algorithm
Creators: name: Helfianur, Rachmi
name: Baizal, ZK Abdurahman
Publisher: name: Indonesia Journal on Computing (Indo-JC)
Year: 2022

description: The development of E-Commerce continues to increase every year, and all online shopping platforms continue to increase competition. Shopee as an online shopping platform offers various product categories that users need. To make it easier for users when shopping online, it is necessary to implement a product recommender system in E-Commerce. Therefore, in this study, we will build a recommender system using the a priori algorithm. The apriori algorithm is very widely used to find out the buying pattern of each user by looking at a combination of itemset. many recommender systems in e-commerce use various methods used, and provide recommendation results that display popular products, and based on the query results obtained. From the results of previous studies, there are similarities between products that have been liked by customers, so they do not have the best recommendations. Therefore, in this study we apply an apriori algorithm to add user confidence to the given recommendations, and to avoid overspecialization. In this research, we take the domain of electronics goods. In this study, the system produces the best value for association rules with a support value of 0.01, confidence 1.00, and lift 97.35.
description: Indonesia Journal on Computing (Indo-JC), Vol. 7 No. 2 (2022): August, 2022
Bottom of the $L^2$ spectrum of the Laplacian on locally symmetric spaces
Creators: name: Anker, Jean-Philippe
name: Zhang, Hong-Wei
Publisher: name: arXiv
Year: 2020
Subjects: subject: Spectral Theory (math.SP)
subject: Analysis of PDEs (math.AP)
subject: FOS: Mathematics

description: We estimate the bottom of the $L^2$ spectrum of the Laplacian on locally symmetric spaces in terms of the critical exponents of appropriate Poincaré series. Our main result is the higher rank analog of a characterization due to Elstrodt, Patterson, Sullivan and Corlette in rank one. It improves upon previous results obtained by Leuzinger and Weber in higher rank.
description: To appear in Geometriae Dedicata