cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Joint Communication and Eavesdropper Detection on the Lossy Bosonic Channel
Creators: name: Munar-Vallespir, Pere
name: Nötzel, Janis
name: Seitz, Florian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We study the problem of joint communication and detection of wiretapping on an optical fiber from a quantum perspective. Our system model describes a communication link that is capable of transmitting data under normal operating conditions and raising a warning at the transmitter side in case of eavesdropping. It contributes to a unified modelling approach, based on which established quantum communication paradigms like quantum key distribution can be compared to other approaches offering similar functionality.
description: 6 pages, 3 figures, to be presented at 2024 IEEE Global Communications Conference
An embedding theorem for multidimensional subshifts
Creators: name: Meyerovitch, Tom
Publisher: name: arXiv
Year: 2023
Subjects: subject: Dynamical Systems (math.DS)
subject: FOS: Mathematics
subject: 37B10

description: Krieger's embedding theorem provides necessary and sufficient conditions for an arbitrary subshift to embed in a given topologically mixing $\mathbb{Z}$-subshift of finite type. For some $\mathbb{Z}^d$-subshifts of finite type, Lightwood characterized the \emph{aperiodic} subsystems. In the current paper we prove a new embedding theorem for a class of subshifts of finite type over any countable abelian group. Our main theorem provides necessary and sufficient conditions for an arbitrary subshift $X$ to embed inside a given subshift of finite type $Y$ that satisfies a certain condition. For the particular case of $\mathbb{Z}$-subshifts, our new theorem coincides with Krieger's theorem. In particular, our result gives the first complete characterization of the subsystems of the multidimensional full shift $Y= A^{\mathbb{Z}^d}$. The natural condition on the target subshift $Y$, introduced explicitly for the first time in the current paper, is called the map extension property. It was introduced implicitly by Mike Boyle in the early 1980's for $\mathbb{Z}$-subshifts, and is closely related to the notion of an absolute retract, introduced by Borsuk in the 1930's. A $\mathbb{Z}$-subshift has the map extension property if and only if it is a topologically mixing subshift of finite type. Over abelian groups, a subshift has the map extension property if and only if it is a contractible SFT as shown in work of Poirier and Salo. We also establish a new theorem regarding lower entropy factors of multidimensional subshifts, that extends Boyle's lower entropy factor theorem from the one-dimensional case.
description: 50 pages, newly published reference updated, some typo corrections in the proof of Theorem 8.2
Vision-based Learning for Drones: A Survey
Creators: name: Xiao, Jiaping
name: Zhang, Rangya
name: Zhang, Yuhang
name: Feroskhan, Mir
Publisher: name: arXiv
Year: 2023
Subjects: subject: Robotics (cs.RO)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Drones as advanced cyber-physical systems are undergoing a transformative shift with the advent of vision-based learning, a field that is rapidly gaining prominence due to its profound impact on drone autonomy and functionality. Different from existing task-specific surveys, this review offers a comprehensive overview of vision-based learning in drones, emphasizing its pivotal role in enhancing their operational capabilities under various scenarios. We start by elucidating the fundamental principles of vision-based learning, highlighting how it significantly improves drones' visual perception and decision-making processes. We then categorize vision-based control methods into indirect, semi-direct, and end-to-end approaches from the perception-control perspective. We further explore various applications of vision-based drones with learning capabilities, ranging from single-agent systems to more complex multi-agent and heterogeneous system scenarios, and underscore the challenges and innovations characterizing each area. Finally, we explore open questions and potential solutions, paving the way for ongoing research and development in this dynamic and rapidly evolving field. With growing large language models (LLMs) and embodied intelligence, vision-based learning for drones provides a promising but challenging road towards artificial general intelligence (AGI) in 3D physical world.
Transformation of Traditional Government to E-Government for Citizen Experience - Challenges, Solutions and Future
Creators: name: Chong, Jerry
name: Jie, Yong Jun
name: Wei, Jin
name: Yiming, Wang
name: Abia, N’Guessan Kacou Loic Armel
name: Qureshi, Salman Dilshad
name: Arefin, Nazmul
name: Akram, Muhammad
name: Bloh, Olano Teah
Publisher: name: figshare
Year: 2022
Subjects: subject: 160510 Public Policy
subject: FOS: Political science
subject: 80605 Decision Support and Group Support Systems
subject: FOS: Computer and information sciences
subject: Information Systems
subject: 80109 Pattern Recognition and Data Mining
subject: 80309 Software Engineering

description: E-government is about changing how governments work, share information, and deliver services to external and internal clients. It harnesses information and communications technology to transform relationships with citizens and businesses, and between arms of government. Benefits can include reduced corruption, increased transparency, greater convenience, higher revenues, and lower costs.
Transport response of topological hinge modes in $α$-Bi$_4$Br$_4$
Creators: name: Hossain, Md Shafayat
name: Zhang, Qi
name: Wang, Zhiwei
name: Dhale, Nikhil
name: Liu, Wenhao
name: Litskevich, Maksim
name: Casas, Brian
name: Shumiya, Nana
name: Yin, Jia-Xin
name: Cochran, Tyler A.
name: Li, Yongkai
name: Jiang, Yu-Xiao
name: Yang, Ying
name: Cheng, Guangming
name: Cheng, Zi-Jia
name: Yang, Xian P.
name: Yao, Nan
name: Neupert, Titus
name: Balicas, Luis
name: Yao, Yugui
name: Lv, Bing
name: Hasan, M. Zahid
Publisher: name: arXiv
Year: 2023
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Applied Physics (physics.app-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Electronic topological phases are renowned for their unique properties, where conducting surface states exist on the boundary of an insulating three-dimensional bulk. While the transport response of the surface states has been extensively studied, the response of the topological hinge modes remains elusive. Here, we investigate a layered topological insulator $α$-Bi$_4$Br$_4$, and provide the first evidence for quantum transport in gapless topological hinge states existing within the insulating bulk and surface energy gaps. Our magnetoresistance measurements reveal pronounced h/e periodic (where h denotes Planck's constant and e represents the electron charge) Aharonov-Bohm oscillation. The observed periodicity, which directly reflects the enclosed area of phase-coherent electron propagation, matches the area enclosed by the sample hinges, providing compelling evidence for the quantum interference of electrons circumnavigating around the hinges. Notably, the h/e oscillations evolve as a function of magnetic field orientation, following the interference paths along the hinge modes that are allowed by topology and symmetry, and in agreement with the locations of the hinge modes according to our scanning tunneling microscopy images. Remarkably, this demonstration of quantum transport in a topological insulator can be achieved using a flake geometry and we show that it remains robust even at elevated temperatures. Our findings collectively reveal the quantum transport response of topological hinge modes with both topological nature and quantum coherence, which can be directly applied to the development of efficient quantum electronic devices.
description: Nature Physics, in press (2023)
The Value of “Tha Non Kon Dern” Walking Street as a Space to Enhance Tourism in Nakhon Phanom Province
Creators: name: Supratra Kewsri
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Tourism Development
Walking Street
Nakhon Phanom Province

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 1-12
Low Bend Loss, High Index, Composite Morphology Ultra-fast Laser Written Waveguides for Photonic Integrated Circuits
Creators: name: Ross-Adams, Andrew J.
name: Fernandez, Toney T.
name: Withford, Michael J.
name: Gross, Simon
Publisher: name: arXiv
Year: 2024
Subjects: subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: We demonstrate a novel, composite laser written 3D waveguide, fabricated in boro-aluminosilicate glass, with a refractive index contrast of 1.12 x 10^-2. The waveguide is fabricated using a multi-pass approach which leverages the respective refractive index modification mechanisms of both the thermal and athermal inscription regimes. We present the study and optimisation of inscription parameters for maximising positive refractive index change and ultimately demonstrate a dramatic advancement on the state of the art of bend losses in laser-written waveguides. The 1.0 dB cm^-1 bend loss cut-off radius is reduced from 10 mm to 4 mm, at a propagation wavelength of 1550 nm.
description: 25 pages, 7 figures, 1 table
title: Der Streit, Episode 10 - Stäheli: Soziologie der Entnetzung
Creators: name: Armbruster, André
name: Seyfert, Robert
Publisher: name: DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany
Year: 2021
Subjects: subject: Podcast
subject: Soziologie
subject: Review
subject: Besprechungen
subject: 300

description: Der Streit – Podcast über neue soziologische Literatur. Mit Robert und André Armbruster. Im Finale der ersten Staffel streiten wir uns um Urs Stähelis „Soziologie der Entnetzung“ (Suhrkamp, 2021). Wir diskutieren die Notwendigkeit der Vernetzung für die Entnetzung, dass Stäheli es sich (und uns) nicht einfach macht und inwiefern Entnetzung eine a-relationale Beziehung konstituiert. Musik: zapsplat.com
description: Der Streit - Über neue soziologische Literatur: Podcast
Midy's Theorem in non-integer bases and divisibility of Fibonacci numbers
Creators: name: Masáková, Zuzana
name: Pelantová, Edita
Publisher: name: arXiv
Year: 2024
Subjects: subject: Number Theory (math.NT)
subject: Combinatorics (math.CO)
subject: FOS: Mathematics
subject: 11A63, 11B39, 11A07, 11K16

description: Fractions $\frac{p}{q} \in [0,1)$ with prime denominator $q$ written in decimal have a curious property described by Midy's Theorem, namely that two halves of their period (if it is of even length $2n$) sum up to $10^n-1$. A number of results generalise Midy's theorem to expansions of $\frac{p}{q}$ in different integer bases, considering non-prime denominators, or dividing the period into more than two parts. We show that a similar phenomena can be studied even in the context of numeration systems with non-integer bases, as introduced by Rényi. First we define the Midy property for a general real base $β>1$ and derive a necessary condition for validity of the Midy property. For $β=\frac12(1+\sqrt5)$ we characterize prime denominators $q$, which satisfy the property.
Effect of sintering temperature on clay ceramic water filters efficiency
Creators: name: Zereffa, Enyew Amare
Publisher: name: Ethiopian Journal of Sciences and Sustainable Development
Year: 2019

description: Billion cases of diarrhea occur worldwide each year that result in million deaths, for the lack of access to safe drinking water. Clean water is a key concern in many communities of developing countries. Household water treatment and safe storage methods, such as ceramic water filters, is one of the proven methods and have been shown to reduce diarrheal prevalence. The aim of this work was to develop a ceramic water filter with a better flow rate, which is capable to remove chemicals as well as microbial contaminants, by examining the effect of altering specific design variables. Ceramic water filters were developed from 60% of clay, 25% sawdust, 15% grog by volume and sintered in 800-950°C range at 50°C intervals with 5°C per minute heating and cooling rate for 6hrs.The developed ceramic filters were characterized with FESEM, EDX, XRD, pH meter, BET and FTIR. The better ceramic water filter with total porosity 32.95 ± 0.03, average pore diameter 50nm, flow rate 1.97± 0.23 and E .coli removal efficiency 99.05 ± 1.79 was developed from 60 % clay; sawdust 25%, 15 % grog by volume and sintered at 900°C for 6hrs.
description: Ethiopian Journal of Sciences and Sustainable Development, Vol 5 No 2 (2018): EJSSD
title: School Health Programs: Education, Health and Welfare Dependency of Young Adults
Creators: name: Abrahamsen, Signe
name: Ginja, Rita
name: Riise Kolstad, Julie
Publisher: name: DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany
Year: 2021
Subjects: subject: School Health Services
subject: Teenage Pregnancy
subject: Welfare Dependency
subject: Utilization of Health Services
subject: Health Status
subject: 610
subject: 330

description: This paper provides new evidence that preventive health care services delivered at schools and provided at a relatively low cost have positive and lasting impacts. We use variation from a 1999‐reform in Norway that induced substantial differences in the availability of health professionals across municipalities and cohorts. In municipalities with one fewer school nurse per 1,000 schoolage children before the reform there was an increase in the availability of nurses of 35% from the pre‐ to the post‐reform period, attributed to the policy change. The reform reduced teenage pregnancies and increased college attendance for girls. It also reduced the take‐up of welfare benefits by ages 26 and 30 and increased the planned use of primary and specialist health care services at ages 25‐35, without impacts on emergency room admissions. The reform also improved the health of newborns of affected new mothers and reduced the likelihood of miscarriages.
description: CINCH working paper series, vol. 2021, no. 04
Thai EFL Undergraduate Learners’ Needs for English for Specific Purposes at Present
Creators: name: Sureepong Phothongsunan
Publisher: name: Luangporyai Association
Year: 2022
Subjects: EFL undergraduates
ESP (English for Specific Purposes)
Learners’ Needs

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 13-17
Dualizing complexes on the moduli of parabolic bundles
Creators: name: Hamann, Linus
name: Imai, Naoki
Publisher: name: arXiv
Year: 2024
Subjects: subject: Number Theory (math.NT)
subject: Algebraic Geometry (math.AG)
subject: Representation Theory (math.RT)
subject: FOS: Mathematics

description: For a non-archimedean local field $F$ and a connected reductive group $G$ over $F$ equipped with a parabolic subgroup $P$, we show that the dualizing complex on $\mathrm{Bun}_P$, the moduli stack of $P$-bundles on the Fargues--Fontaine curve, can be described explicitly in terms of the modulus character of $P$. As applications, we identify various characters appearing in the theory of local and global Shimura varieties, show the Harris--Viehmann conjecture in the Hodge--Newton reducible case, and carry out some computations of the geometric Eisenstein functors for general parabolics.
description: 47 pages
The Causal Relationship Model of The Happiness of the Working Elderly within Career Groups
Creators: name: Satit Chuayounan
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Happiness of the working elderly
Perception of self-efficacy in work
Positive psychological capital
Social support within career groups

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 18-32
Multi-objective optimization for targeted self-assembly among competing polymorphs
Creators: name: Chatterjee, Sambarta
name: Jacobs, William M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Most approaches for designing self-assembled materials focus on the thermodynamic stability of a target structure or crystal polymorph. Yet in practice, the outcome of a self-assembly process is often controlled by kinetic pathways. Here we present an efficient machine learning-guided design algorithm to identify globally optimal interaction potentials that maximize both the thermodynamic yield and kinetic accessibility of a target polymorph. We show that optimal potentials exist along a Pareto front, indicating the possibility of a trade-off between the thermodynamic and kinetic objectives. Although the extent of this trade-off depends on the target polymorph and the assembly conditions, we generically find that the trade-off arises from a competition among alternative polymorphs: The most kinetically optimal potentials, which favor the target polymorph on short timescales, tend to stabilize a competing polymorph at longer times. Our work establishes a general-purpose approach for multi-objective self-assembly optimization, reveals fundamental trade-offs between crystallization speed and defect formation in the presence of competing polymorphs, and suggests guiding principles for materials design algorithms that optimize for kinetic accessibility.
Simulating Nighttime Visible Satellite Imagery of Tropical Cyclones Using Conditional Generative Adversarial Networks
Creators: name: Yao, Jinghuai
name: Du, Puyuan
name: Zhao, Yucheng
name: Wang, Yubo
Publisher: name: arXiv
Year: 2024
Subjects: subject: Atmospheric and Oceanic Physics (physics.ao-ph)
subject: Machine Learning (cs.LG)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Visible (VIS) imagery is important for monitoring Tropical Cyclones (TCs) but is unavailable at night. This study presents a Conditional Generative Adversarial Networks (CGAN) model to generate nighttime VIS imagery with significantly enhanced accuracy and spatial resolution. Our method offers three key improvements compared to existing models. First, we replaced the L1 loss in the pix2pix framework with the Structural Similarity Index Measure (SSIM) loss, which significantly reduced image blurriness. Second, we selected multispectral infrared (IR) bands as input based on a thorough examination of their spectral properties, providing essential physical information for accurate simulation. Third, we incorporated the direction parameters of the sun and the satellite, which addressed the dependence of VIS images on sunlight directions and enabled a much larger training set from continuous daytime data. The model was trained and validated using data from the Advanced Himawari Imager (AHI) in the daytime, achieving statistical results of SSIM = 0.923 and Root Mean Square Error (RMSE) = 0.0299, which significantly surpasses existing models. We also performed a cross-satellite nighttime model validation using the Day/Night Band (DNB) of the Visible/Infrared Imager Radiometer Suite (VIIRS), which yields outstanding results compared to existing models. Our model is operationally applied to generate accurate VIS imagery with arbitrary virtual sunlight directions, significantly contributing to the nighttime monitoring of various meteorological phenomena.
A Computationally Efficient Approach to False Discovery Rate Control and Power Maximisation via Randomisation and Mirror Statistic
Creators: name: Molinari, Marco
name: Thoresen, Magne
Publisher: name: arXiv
Year: 2024
Subjects: subject: Methodology (stat.ME)
subject: Applications (stat.AP)
subject: FOS: Computer and information sciences

description: Simultaneously performing variable selection and inference in high-dimensional regression models is an open challenge in statistics and machine learning. The increasing availability of vast amounts of variables requires the adoption of specific statistical procedures to accurately select the most important predictors in a high-dimensional space, while controlling the false discovery rate (FDR) associated with the variable selection procedure. In this paper, we propose the joint adoption of the Mirror Statistic approach to FDR control, coupled with outcome randomisation to maximise the statistical power of the variable selection procedure, measured through the true positive rate. Through extensive simulations, we show how our proposed strategy allows us to combine the benefits of the two techniques. The Mirror Statistic is a flexible method to control FDR, which only requires mild model assumptions, but requires two sets of independent regression coefficient estimates, usually obtained after splitting the original dataset. Outcome randomisation is an alternative to data splitting that allows to generate two independent outcomes, which can then be used to estimate the coefficients that go into the construction of the Mirror Statistic. The combination of these two approaches provides increased testing power in a number of scenarios, such as highly correlated covariates and high percentages of active variables. Moreover, it is scalable to very high-dimensional problems, since the algorithm has a low memory footprint and only requires a single run on the full dataset, as opposed to iterative alternatives such as multiple data splitting.
title: Wartime Violence, Collective Grievances and Post-Conflict Protests: Evidence from Uganda's LRA Insurgency
Creators: name: Krtsch, Roman
Publisher: name: DuEPublico: Duisburg-Essen Publications online, University of Duisburg-Essen, Germany
Year: 2021
Subjects: subject: 300
subject: 320

description: The immediate aftermath of civil wars is a period prone to heightened contention: Political decisions about the distribution of aid or power, for example, can deepen social fault lines and in some instances even result in violent unrest. Yet despite its relevance, our knowledge on the drivers for individual participation in post-conflict contentious activism remains limited. Previous research has found particularly wartime experiences to affect political and social behaviour of individuals in the post-conflict period. Based on these findings, I argue that exposure to civil war violence increases the likelihood for individuals to participate in post-war protests. Moreover, I conjecture that this effect can be explained with the reinforcement of group-based grievances. Using survey data from the Afrobarometer collected shortly after the end of the Ugandan civil war in 2008, I find support for the argument: Results from linear probability models show a consistent and robust relationship between county-level war violence and the likelihood to participate in protests. An additional analysis with a novel measure of group-level exposure and a causal mediation analysis furthermore corroborate the assumed mechanism.
description: Unmittelbar nach dem Ende der Kampfhandlungen beginnt für Post-Bürgerkriegsgesellschaften häufig eine Phase, die anfällig für Auseinandersetzungen ist: Politische Entscheidungen über die Machtaufteilung können beispielsweise soziale Gräben vertiefen und in einigen Fällen sogar in gewalttätige Unruhen münden. Trotz dieser Relevanz ist unser Wissen über die wesentlichen Antriebe individueller Beteiligung an Protesten in Nachkriegsgesellschaften nach wie vor begrenzt. Die bisherige Forschung hat insbesondere die Bedeutung von Gewalterfahrungen für das politische und soziale Verhalten in der Nachkriegsperiode hervorgehoben. Aufbauend auf diesen Erkenntnissen ist das Argument des vorliegenden Aufsatzes, dass lokale Intensität von Bürgerkriegsgewalt die Wahrscheinlichkeit individueller Protestteilnahme in der Nachkriegszeit erhöht. Ich argumentiere ferner, dass dieser Zusammenhang durch die Verstärkung gruppenbasierter grievances im Zuge von Gewalterfahrungen erklärt werden kann. Mithilfe von Umfragedaten des Afrobarometers, welche kurz nach dem Ende des ugandischen Bürgerkriegs 2008 erhoben wurden, kann mein Argument empirisch gestützt werden: Die Ergebnisse Linearer Wahrscheinlichkeitsmodelle zeigen einen konsistenten und robusten Zusammenhang zwischen der Intensität von Bürgerkriegsgewalt auf der County-Ebene und der Wahrscheinlichkeit für die Teilnahme an Protesten. In einer zusätzlichen Analyse untersuche ich den Mechanismus mithilfe einer neuen Messung für gruppenspezifische Kriegserfahrungen und nutze eine Mediationsanalyse zur weiteren Unterstützung des Mechanismus.
description: INEF-Report, no. 115
Discovery of a Topological Charge Density Wave
Creators: name: Litskevich, Maksim
name: Hossain, Md Shafayat
name: Zhang, Songbo
name: Cheng, Zi-Jia
name: Guin, Satya N.
name: Kumar, Nitesh
name: Shekhar, Chandra
name: Wang, Zhiwei
name: Li, Yongkai
name: Chang, Guoqing
name: Yin, Jia-Xin
name: Zhang, Qi
name: Cheng, Guangming
name: Jiang, Yu-Xiao
name: Cochran, Tyler A.
name: Shumiya, Nana
name: Yang, Xian P.
name: Multer, Daniel
name: Liu, Xiaoxiong
name: Yao, Nan
name: Yao, Yugui
name: Felser, Claudia
name: Neupert, Titus
name: Hasan, M. Zahid
Publisher: name: arXiv
Year: 2024
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: Other Condensed Matter (cond-mat.other)
subject: Applied Physics (physics.app-ph)
subject: FOS: Physical sciences

description: Charge density waves (CDWs) appear in numerous condensed matter platforms, ranging from high-Tc superconductors to quantum Hall systems. Despite such ubiquity, there has been a lack of direct experimental study on boundary states that can uniquely stem from the charge order. Here, using scanning tunneling microscopy, we directly visualize the bulk and boundary phenomenology of CDW in a topological material, Ta2Se8I. Below the transition temperature (TCDW = 260 K), tunneling spectra on an atomically resolved lattice reveal a large insulating gap in the bulk and on the surface, exceeding 500 meV, surpassing predictions from standard weakly-coupled mean-field theory. Spectroscopic imaging confirms the presence of CDW, with LDOS maxima at the conduction band corresponding to the LDOS minima at the valence band, thus revealing a π phase difference in the respective CDW order. Concomitantly, at a monolayer step edge, we detect an in-gap boundary mode with modulations along the edge that match the CDW wavevector along the edge. Intriguingly, the phase of the edge state modulation shifts by π within the charge order gap, connecting the fully gapped bulk (and surface) conduction and valence bands via a smooth energy-phase relation. This bears similarity to the topological spectral flow of edge modes, where the boundary modes bridge the gapped bulk modes in energy and momentum magnitude but in Ta2Se8I, the connectivity distinctly occurs in energy and momentum phase. Notably, our temperature-dependent measurements indicate a vanishing of the insulating gap and the in-gap edge state above TCDW, suggesting their direct relation to CDW. The theoretical analysis also indicates that the observed boundary mode is topological and linked to CDW.
description: Nature Physics (2024); in press
Direct local parametrization of nuclear state densities using the back-shifted Bethe formula
Creators: name: Özen, C.
name: Alhassid, Y.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Level densities are often parametrized using the back-shifted Bethe formula (BBF) for nuclei that possess experimental data for s-wave neutron resonance average spacings and a complete discrete level sequence at low excitation energies. However, these parametrizations require the additional modeling of the dependence of the spin-cutoff parameter on excitation energy. Here we avoid the need to model the spin distribution of level densities by using the experimental data to parametrize directly the state densities, for which the BBF does not depend on the spin-cutoff parameter. This approach allows for a local parameterization of state densities that is independent of the spin-cutoff parameter. We provide these parameters in a tabulated form for applications in nuclear reaction calculations and for testing microscopic approaches to state densities.
description: 12 pages, 3 figures, 1 table
Bézier curves and the Takagi function
Creators: name: Ptackova, Lenka
name: Vivaldi, Franco
Publisher: name: arXiv
Year: 2024
Subjects: subject: Numerical Analysis (math.NA)
subject: FOS: Mathematics
subject: 65D18, 65D99, 68U05, 37N30, 15B99

description: We consider Bézier curves with complex parameters, and we determine explicitly the affine iterated function system (IFS) corresponding to the de Casteljau subdivision algorithm, together with the complex parametric domain over which such an IFS has a unique global connected attractor. For a specific family of complex parameters having vanishing imaginary part, we prove that the Takagi fractal curve is the attractor, under suitable scaling.
PANDA: Query Evaluation in Submodular Width
Creators: name: Khamis, Mahmoud Abo
name: Ngo, Hung Q.
name: Suciu, Dan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Databases (cs.DB)
subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: In recent years, several information-theoretic upper bounds have been introduced on the output size and evaluation cost of database join queries. These bounds vary in their power depending on both the type of statistics on input relations and the query plans that they support. This motivated the search for algorithms that can compute the output of a join query in times that are bounded by the corresponding information-theoretic bounds. In this paper, we describe PANDA, an algorithm that takes a Shannon-inequality that underlies the bound, and translates each proof step into an algorithmic step corresponding to some database operation. PANDA computes answers to a conjunctive query in time given by the the submodular width plus the output size of the query. The version in this paper represents a significant simplification of the original version [ANS, PODS'17].
description: 42 pages. This is the TheoretiCS journal version
Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach
Creators: name: Dainotti, Maria Giovanna
name: Narendra, Aditya
name: Pollo, Agnieszka
name: Petrosian, Vahe
name: Bogdan, Malgorzata
name: Iwasaki, Kazunari
name: Prochaska, Jason Xavier
name: Rinaldi, Enrico
name: Zhou, David
Publisher: name: arXiv
Year: 2024
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: FOS: Physical sciences

description: Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address this, we estimated the GRB redshift (distance) via a supervised statistical learning model that uses optical afterglow observed by Swift and ground-based telescopes. The inferred redshifts are strongly correlated (a Pearson coefficient of 0.93) with the observed redshifts, thus proving the reliability of this method. The inferred and observed redshifts allow us to estimate the number of GRBs occurring at a given redshift (GRB rate) to be 8.47-9 $yr^{-1} Gpc^{-1}$ for $1.9
description: 10 figures. Published in The Astrophysical Journal Letters. arXiv admin note: text overlap with arXiv:1907.05074
Efficient initialization of fluxonium qubits based on auxiliary energy levels
Creators: name: Wang, Tenghui
name: Wu, Feng
name: Wang, Fei
name: Ma, Xizheng
name: Zhang, Gengyan
name: Chen, Jianjun
name: Deng, Hao
name: Gao, Ran
name: Hu, Ruizi
name: Ma, Lu
name: Song, Zhijun
name: Xia, Tian
name: Ying, Make
name: Zhan, Huijuan
name: Zhao, Hui-Hai
name: Deng, Chunqing
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Fast and high-fidelity qubit initialization is crucial for low-frequency qubits such as fluxonium, and in applications of many quantum algorithms and quantum error correction codes. In a circuit quantum electrodynamics system, the initialization is typically achieved by transferring the state between the qubit and a short-lived cavity through microwave driving, also known as the sideband cooling process in atomic system. Constrained by the selection rules from the parity symmetry of the wavefunctions, the sideband transitions are only enabled by multi-photon processes which requires multi-tone or strong driving. Leveraging the flux-tunability of fluxonium, we circumvent this limitation by breaking flux symmetry to enable an interaction between a non-computational qubit transition and the cavity excitation. With single-tone sideband driving, we realize qubit initialization with a fidelity exceeding 99% within a duration of 300 ns, robust against the variation of control parameters. Furthermore, we show that our initialization scheme has a built-in benefit in simultaneously removing the second-excited state population of the qubit, and can be easily incorporated into a large-scale fluxonium processor.
Moon Mang Phutai: Textile Wisdom of Phutai Ethnicity in The Sakon Nakhon Basin Area to Cultural Tourism
Creators: name: Nontawan Saenprai
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Moon Mang Phutai
Textiles, Phutai Ethnicity
Sakon Nakhon Basin
Cultural Tourism

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 33-46
TransAxx: Efficient Transformers with Approximate Computing
Creators: name: Danopoulos, Dimitrios
name: Zervakis, Georgios
name: Soudris, Dimitrios
name: Henkel, Jörg
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Hardware Architecture (cs.AR)
subject: FOS: Computer and information sciences

description: Vision Transformer (ViT) models which were recently introduced by the transformer architecture have shown to be very competitive and often become a popular alternative to Convolutional Neural Networks (CNNs). However, the high computational requirements of these models limit their practical applicability especially on low-power devices. Current state-of-the-art employs approximate multipliers to address the highly increased compute demands of DNN accelerators but no prior research has explored their use on ViT models. In this work we propose TransAxx, a framework based on the popular PyTorch library that enables fast inherent support for approximate arithmetic to seamlessly evaluate the impact of approximate computing on DNNs such as ViT models. Using TransAxx we analyze the sensitivity of transformer models on the ImageNet dataset to approximate multiplications and perform approximate-aware finetuning to regain accuracy. Furthermore, we propose a methodology to generate approximate accelerators for ViT models. Our approach uses a Monte Carlo Tree Search (MCTS) algorithm to efficiently search the space of possible configurations using a hardware-driven hand-crafted policy. Our evaluation demonstrates the efficacy of our methodology in achieving significant trade-offs between accuracy and power, resulting in substantial gains without compromising on performance.
La responsabilità del datore di lavoro e dei dirigenti nella sicurezza sul lavoro
Creators: name: Pascucci, Paolo
Publisher: name: Università degli Studi di Urbino "Carlo Bo"
Year: 2016

description: [The Liability of the employer and managers in the Safety at work] The essay - which reproduces the report presented at the Conference on "Infortuni sul lavoro. Il nodo delle responsabilità", organized by the Department of Legal Sciences of the University of Udine on the occasion of the 4th edition of  "Premio Giuseppe Lombardi" (Udine, 10 October 2014) - analyzes the foundation of liabilities of employer and management with regard to the protection of health and safety at work highlighting in particular the importance of the organizational dimension in the legislative decree n. 81/2008.
description: Cultura giuridica e diritto vivente, Vol 3 (2016)
A Research of Occupational Happiness of R Primary School Teachers based on JD-R Model
Creators: name: Xiaoyuan Qiu
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Occupational happiness
JD-R model
Elementary school teachers
Job demands
Job resources

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 47-61
Educational Migration of Foreign University Monks in Mahachulalongkornrajavidyalaya University
Creators: name: Punyavee Mongkonpipputporn
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Educational Migration
University Monk
Thai Buddhist Universities
Migration factors

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 62-71
Computational Understanding of User Interfaces
Creators: name: Wu, Jason
Publisher: name: Carnegie Mellon University
Year: 2024
Subjects: subject: Computer Software
subject: FOS: Computer and information sciences
subject: Human Information Behaviour

description: A grand challenge in human-computer interaction (HCI) is constructing user in terfaces (UIs) that make computers useful for all users across all contexts. Conventional UI development processes have approached this goal by iteratively converging  towards a single “final” UI through prototyping, implementation, and testing. However, even when following best practices, this approach locks in a set of assumptions that often cannot accommodate the diversity of user abilities, usage contexts,  or computing technologies, ultimately limiting how we can use computers. In this dissertation, I propose a new approach that uses machine-learning-driven systems  that automatically understand and manipulate existing UIs as a way to overcome  this challenge. Using content and functionality inferred from an existing application, combined with sensed usage context, the UI can be dynamically tailored to the immediate needs of use, e.g., through interface adaptation or generation.  
The work presented in this dissertation represents the initial technical foundation for this vision. First, I describe approaches for understanding user ability and context  (user understanding), which HCI suggests is the basis for building good interfaces. I  describe a recommendation system that recommends device settings (e.g., accessibility features) based on sensed usage behaviors and user interaction logs. While users often found these suggestions helpful, this approach of adapting interfaces through  configuration changes has traditionally been limited, since applications often do not  properly expose their semantics to external services. To this end, I describe several  projects in the area of UI understanding, which shows that it is possible to overcome  this barrier using data-driven ML models that predict interface layout, structure, and functionality from visual information, which is how UIs are generally assumed to  be used. These predicted semantics can enable many forms of existing computing  infrastructure, such as accessibility and UI agents to work more reliably and robustly. Finally, I combine both user and UI understanding to dynamically generate  and adapt UIs that meet the specific needs of users. I describe ML-driven systems  that generate UIs by modifying existing application layouts and generating UI code  based on personalized user profiles and design objectives. Ultimately, through my work, I show that computational understanding of user interfaces allows UIs to be  transformed from static objects into malleable representations that can be dynamically reshaped for new devices, modalities, and users.
An Evaluation of Biofield Treatment on Susceptibility Pattern of Multidrug Resistant Stenotrophomonas maltophilia : An Emerging Global Opportunistic P
Creators: name: Trivedi, Mahendra
Publisher: name: SMN - The ScienceMedia Network
Year: 2016
Subjects: Natural Sciences
Chemistry

description: Stenotrophomonas maltophilia ( S. maltophilia ) is a Gram-negative bacillus, an opportunistic pathogen, particularly among nosocomial infections. Multi-drug resistant strains are associated with very high rate of morbidity and mortality in severely immunocompromised patients. Present study was designed to evaluate the effect of biofield treatment against multidrug resistant S. maltophilia . Clinical sample of S. maltophilia was collected and divided into two groups i.e. control and biofield treated which were analyzed after 10 days with respect to control. The following parameters viz. susceptibility pattern, minimum inhibitory concentration (MIC), biochemical studies and biotype number of both control and treated samples were measured by MicroScan Walk-Away® system. The results showed an overall change of 37.5% in susceptibility pattern and 39.4% in biochemical study while 33.3% changes in MIC values of tested antimicrobials after biofield treatment. Further, the treated group of S. maltophilia has also shown a significant change in biochemical reactions followed by its biotype number as compared to control group. Biochemical reactions of treated group showed negative reaction to acetamide and positive reactions to colistin, glucose, adonitol, melibiose, arabinose, nitrate, oxidation-fermentation, raffinose, rhaminose, sorbitol, sucrose, and Voges-Proskauer as compared with control. The biofield treatment showed an alteration in MIC values of amikacin, amoxicillin/K-clavulanate, chloramphenicol, gatifloxacin, levofloxacin, moxifloxacin, ceftazidime, cefotetan, ticarcillin/K-clavulanate, trimethoprim/sulfamethoxazole. Altogether, data suggest that biofield treatment has significant effect to alter the sensitivity pattern of antimicrobials and biotype number against multidrug resistant strain of S. maltophilia .
Travel Motivations of Generation Y Chinese and Taiwanese Tourists Visiting Thailand: The Application of the Travel Career Pattern Approach
Creators: name: Sitanan Wannasan
Publisher: name: Luangporyai Association
Year: 2022
Subjects: Travel career pattern
travel motivations
Generation Y tourists
Chinese outbound tourist
Taiwanese outbound tourist

description: International Journal of Multidisciplinary in Management and Tourism, 6, 1, 72-87
Sojourners : Undergraduate Journal of Sociology, Vol. 3/4
Creators: name: Chang, Yun-Jou
Publisher: name: Vancouver, BC : Sociology Students Association of the University of British Columbia
Year: 2016

description: In Volume Three, Jasmine Luk interviewed several immigrants who either have worked or are currently working at Tim Hortons to explore the everyday ramifications of immigrant deskilling. Tara Pietski looks at the emotional labour performed by women who come to Canada as live-in caregivers. The articles by Amanda Cheong and Jeremy Withers deal with issues of representation: the former highlights “homeless blogs” as a creative and subversive site where homeless individuals can combat stigmatized representations of homelessness in mainstream media. Drawing upon his experience producing a short documentary on Vancouver’s Anti-Olympic Movement, Jeremy Withers explores film’s potential as a tool for amplifying the subaltern’s voice in ethnographic research. Taking a more macro level approach, Michael Kehl examines how ownership laws are being used by corporations like Monsanto to reinstate a feudal system of land ownership in North America’s argicultural regions. The offerings in Volume Four are equally diverse. Kayla Johnson, Sebastian Krammig, and Justin Van Westen use dialogue to explore sustainability from three theoretical perspectives: ecofeminism, ecosocialism, and deep ecology. Amanda Cheong and Estevan Izquierdo explore ideas around nationhood and Canadian identity in “Defining a Nation” and “Hockeyville Canada,” respectively. Anita Sehagic investigates representations of the Occupy Vancouver movement in news media reporting. Similarly, Sam Markham examines media coverage of Bill C-389 and its subsequent implications for transgender rights in Canada.
Constrained Boundary Labeling
Creators: name: Depian, Thomas
name: Nöllenburg, Martin
name: Terziadis, Soeren
name: Wallinger, Markus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computational Geometry (cs.CG)
subject: Computational Complexity (cs.CC)
subject: FOS: Computer and information sciences

description: Boundary labeling is a technique in computational geometry used to label sets of features in an illustration. It involves placing labels along an axis-parallel bounding box and connecting each label with its corresponding feature using non-crossing leader lines. Although boundary labeling is well-studied, semantic constraints on the labels have not been investigated thoroughly. In this paper, we introduce grouping and ordering constraints in boundary labeling: Grouping constraints enforce that all labels in a group are placed consecutively on the boundary, and ordering constraints enforce a partial order over the labels. We show that it is NP-hard to find a labeling for arbitrarily sized labels with unrestricted positions along one side of the boundary. However, we obtain polynomial-time algorithms if we restrict this problem either to uniform-height labels or to a finite set of candidate positions. Furthermore, we show that finding a labeling on two opposite sides of the boundary is NP-complete, even for uniform-height labels and finite label positions. Finally, we experimentally confirm that our approach has also practical relevance.
description: Manuscript accepted for publication in Computational Geometry; 32 pages, 14 figures, 3 tables
Automated Resonance Identification in Nuclear Data Evaluation
Creators: name: Walton, Noah A. W.
name: Zivenko, Oleksii
name: Fritsch, William
name: Forbes, Jacob
name: Lewis, Amanda
name: Brown, Jesse
name: Sobes, Vlad
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computational Physics (physics.comp-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Global and national efforts to deliver high-quality nuclear data to users have a broad impact across applications such as national security, reactor operation, basic science, medical fields, and more. Cross section evaluation is a large part this effort as it combines theory and experiment to produce suggested values and uncertainty for reaction probabilities. In most isotopes, the cross section exhibits resonant behavior in what is called the resonance region of incident neutron energy. Resonance region evaluation is a specialized type of nuclear data evaluation that can require significant, manual effort and months of time from expert scientists. In this article, non-convex, non-linear optimization methods are combined with concepts of inferential statistics to infer a set of optimized resonance models from experimental data in an automated manner that is not dependent on prior evaluation(s). This methodology aims to enhance the workflow of a resonance evaluator by minimizing time, effort, and prior biases while improving reproducibility and document-ability, addressing widely recognized challenges in the field.