Miracle-dz/UniFAR-FTUs huggingface dataset:
Detuned mechanical parametric amplification as a quantum non-demolition measurement

Recently it has been demonstrated that the combination of continuous position detection with detuned parametric driving can lead to significant steady-state mechanical squeezing, far beyond the 3 dB limit normally associated with parametric driving. In this work, we show the close connection between this detuned scheme and quantum non-demolition (QND) measurement of a single mechanical quadrature. In particular, we show that applying an experimentally realistic detuned parametric drive to a cavity optomechanical system allows one to effectively realize a QND measurement despite being in the bad-cavity limit. In the limit of strong squeezing, we show that this scheme offers significant advantages over standard backaction evasion, not only by allowing operation in the weak measurement and low efficiency regimes, but also in terms of the purity of the mechanical state.
Organoids for Modeling (Colorectal) Cancer in a Dish

Simple Summary Despite remarkable progress in the treatment of cancer patients, the medical need for drugs with better efficacy is still unmet and high. In addition to accurate prediction of drug efficacy for individual patients, pathophysiologically relevant preclinical model systems with increased predictive power are urgently needed to reduce the high rate of clinical trial failure in oncology. Organoids grown from patient material represent exceptionally valuable model systems to mimic and study human diseased tissues such as tumors. Here, we elaborate an overview of innovative and advanced organoid model systems and highlight the exciting opportunities of organoids for personalized precision medicine and the field of immuno-oncology drug development. Abstract Functional studies of primary cancer have been limited to animal models for a long time making it difficult to study aspects specific to human cancer biology. The development of organoid technology enabled us to culture human healthy and tumor cells as three-dimensional self-organizing structures in vitro for a prolonged time. Organoid cultures conserve the heterogeneity of the originating epithelium regarding cell types and tumor clonality. Therefore, organoids are considered an invaluable tool to study and genetically dissect various aspects of human cancer biology. In this review, we describe the applications, advantages, and limitations of organoids as human cancer models with the main emphasis on colorectal cancer.
An Inconsistency Responding Scale for the Durand Adaptive Psychopathic Traits Questionnaire

Abstract Careless and inconsistent responding is a common issue with self- reported instruments, observed in approximately 10% of respondents. The purpose of this study was to develop an Inconsistency Responding Scale (IRS) for the Durand Adaptive Psychopathic Traits Question- naire (DAPTQ). First, a derivation sample (N = 525) was used to develop the IRS-DAPTQ, a scale generating a total score from the absolute diﬀerence of 12 pairs of items with high intra-correlation. Second, the validity of the IRS-DAPTQ was assessed using human (N = 943) and randomly generated (N = 1000) data. The IRS-DAPTQ successfully diﬀerentiated human data from randomly generated data. The IRS-DAPTQ scores showed a negative association with conscientiousness and had higher speciﬁcity for a sample of the gen- eral population recruited online than for a sample of undergraduate students. These ﬁndings support the usefulness of the IRS-DAPTQ for identifying individuals displaying an inconsistent responding style.
Protective Effects of Moderate Ca Supplementation against Cd-Induced Bone Damage under Different Population-Relevant Doses in Young Female Rats

Estimation of the skeleton-protective effects of Ca in Cd-induced bone damage is helpful in the assessment of Cd health risk. The aim of this study was to identify whether Ca supplementation during exposure to different population-relevant doses of Cd can prevent Cd-induced bone damage under the tolerable upper intake level of Ca supplementation. Young female Sprague-Dawley rats were given different population-relevant doses of Cd (1, 5, and 50 mg Cd/kg diet) and Ca supplementation (0.4% Ca supplementation) intervention. Ca supplementation significantly decreased Cd-induced bone microstructure damage, increased bone biomechanics (p < 0.05), serum bone formation marker level (p < 0.05) and expression of osteogenic gene markers exposure to the 5 and 50 mg Cd/kg diets. However, it had no impact on these indicators under the 1 mg Cd/kg diets, with the exception of expression of osteogenic marker genes. Ca supplementation significantly decreased serum Klotho level (p < 0.05), and fibroblast growth factor 23/Klotho-associated gene expression in the kidney and bone showed significant changes. In conclusion, Ca supplementation has a positive effect on bone formation and bone quality against the damaging impact of Cd, especially with exposure to the 5 mg and 50 mg Cd/kg diet, which may be related to its impact on the fibroblast growth factor 23/Klotho axis.
Ranking-Based Autoencoder for Extreme Multi-label Classification

Extreme Multi-label classification (XML) is an important yet challenging machine learning task, that assigns to each instance its most relevant candidate labels from an extremely large label collection, where the numbers of labels, features and instances could be thousands or millions. XML is more and more on demand in the Internet industries, accompanied with the increasing business scale / scope and data accumulation. The extremely large label collections yield challenges such as computational complexity, inter-label dependency and noisy labeling. Many methods have been proposed to tackle these challenges, based on different mathematical formulations. In this paper, we propose a deep learning XML method, with a word-vector-based self-attention, followed by a ranking-based AutoEncoder architecture. The proposed method has three major advantages: 1) the autoencoder simultaneously considers the inter-label dependencies and the feature-label dependencies, by projecting labels and features onto a common embedding space; 2) the ranking loss not only improves the training efficiency and accuracy but also can be extended to handle noisy labeled data; 3) the efficient attention mechanism improves feature representation by highlighting feature importance. Experimental results on benchmark datasets show the proposed method is competitive to state-of-the-art methods.
OGLE-2015-BLG-0051/KMT-2015-BLG-0048LB: A GIANT PLANET ORBITING A LOW-MASS BULGE STAR DISCOVERED BY HIGH-CADENCE MICROLENSING SURVEYS

We report the discovery of an extrasolar planet detected from the combined data of a microlensing event OGLE-2015-BLG-0051/KMT-2015-BLG-0048 acquired by two microlensing surveys. Despite the fact that the short planetary signal occurred in the very early Bulge season during which the lensing event could be seen for just about an hour, the signal was continuously and densely covered. From the Bayesian analysis using models of the mass function, and matter and velocity distributions, combined with information on the angular Einstein radius, it is found that the host of the planet is located in the Galactic bulge. The planet has a mass and it is orbiting a low-mass M-dwarf host with a projected separation . The discovery of the planet demonstrates the capability of the current high-cadence microlensing lensing surveys in detecting and characterizing planets.
Microscopic derivation of transport coefficients and boundary conditions in discrete drift-diffusion models of weakly coupled superlattices

A discrete drift-diffusion model is derived from a microscopic sequential tunneling model of charge transport in weakly-coupled superlattices provided temperatures are low or high enough. Realistic transport coefficients and contact current-field characteristic curves are calculated from microscopic expressions, knowing the design parameters of the superlattice. Boundary conditions clarify when possible self-sustained oscillations of the current are due to monopole or dipole recycling.
Homotopy coherent centers versus centers of homotopy categories

Centers of categories capture the natural operations on their objects. Homotopy coherent centers are introduced here as an extension of this notion to categories with an associated homotopy theory. These centers can also be interpreted as Hochschild cohomology type invariants in contexts that are not necessarily linear or stable, and we argue that they are more appropriate to higher categorical contexts than the centers of their homotopy or derived categories. Among many other things, we present an obstruction theory for realizing elements in the centers of homotopy categories, and a Bousfield-Kan type spectral sequence that computes the homotopy groups. Nontrivial classes of examples are given as illustration throughout.
Deterministic generation of a quantum-dot-confined triexciton and its radiative decay via three-photon cascade

Semiconductor quantum dots (QDs) have potential applications in quantum information processing due to the fact that they are potential on-demand sources of single and entangled photons. Generation of polarization-entangled photon pairs was demonstrated using the biexciton-exciton radiative cascade. One obvious way to increase the number of quantum correlated photons that the QDs emit is to use higher-order multiexcitons, in particular the triexciton. Towards achieving this goal, we first demonstrate deterministic generation of the QD-confined triexciton in a well-definedcoherent state and then spectrally identify and directly measure a three-photon radiative cascade resulting from the sequential triexciton-biexciton-exciton radiative recombination.
Isotope shifts and hyperfine structure of the FeI 372-nm resonance line

We report measurements of the isotope shifts of the $3{d}^{6}4{s}^{2}$ $a\text{ }{^{5}D}_{4}\ensuremath{-}3{d}^{6}4s4p$ $z\text{ }{^{5}F}_{5}^{o}$ $\text{Fe}\text{ }\text{I}$ resonance line at 372 nm between all four stable isotopes $^{54}\text{F}\text{e}$, $^{56}\text{F}\text{e}$, $^{57}\text{F}\text{e}$, and $^{58}\text{F}\text{e}$, as well as the complete hyperfine structure of that line for $^{57}\text{F}\text{e}$, the only stable isotope having a nonzero nuclear spin. The field and specific mass shift coefficients of the transition have been derived from the data, as well as the experimental value for the hyperfine structure magnetic dipole coupling constant $A$ of the excited state of the transition in $^{57}\text{F}\text{e}$: $A(3{d}^{6}4s4p\text{ }z\text{ }{^{5}F}_{5}^{o})=81.69(86)\text{ }\text{MHz}$. The measurements were carried out by means of high-resolution Doppler-free laser saturated absorption spectroscopy in a Fe-Ar hollow cathode discharge cell using both natural and enriched iron samples. The measured isotope shifts and hyperfine constants are reported with uncertainties at the percent level.
Thermodynamics of the harmonic oscillator: Wien’s displacement law and the Planck spectrum

A thermodynamic analysis of the harmonic oscillator is presented. The motivation is provided by the blackbody radiation spectrum, because radiation modes take the harmonic-oscillator form. We use the behavior of a thermal harmonic oscillator system under a quasistatic change of oscillator frequency ω to show that the thermodynamic functions can all be derived from a single function of ω/T, analogous to Wien’s displacement theorem. The high- and low-frequency limits yield asymptotic forms involving the temperature T alone or frequency ω alone, corresponding to energy equipartition and zero-point energy. We suggest a natural interpolation between the limiting forms. The Planck spectrum with zero-point energy corresponds to the function satisfying the Wien displacement result which provides the smoothest possible interpolation between energy equipartition at low frequency and zero-point energy at high frequency.
Impact of Differentiated Instruction on the Mathematical Thinking Processes of Gifted and Talented Students

The aim of this study is to examine if differentiated instruction benefits the mathematical thinking process of gifted and talented students in Malaysia. Differentiated instruction is a student-centered technique in which instructors act as facilitators. It is doubtful, however, if differentiated instruction has a beneficial effect on the overall process of mathematical thinking. A disciplined approach to learning mathematics is deemed essential. In this study, a questionnaire was designed to assess students' motivation towards learning using differentiated instruction in mathematics, and a mathematics test was devised to assess students' mathematical thinking process. The study included 400 students who were identified as gifted and talented students; the data were analyzed using the SPSS software. The results suggest that statistically differentiated instruction has a significant effect on gifted and talented students' mathematical thinking processes. However, additional research is needed to discover which activities directly impact students' mathematical thinking processes positively and which should be avoided.
INCORPORATING KINETIC PHYSICS INTO A TWO-FLUID SOLAR-WIND MODEL WITH TEMPERATURE ANISOTROPY AND LOW-FREQUENCY ALFVÉN-WAVE TURBULENCE

We develop a one-dimensional solar-wind model that includes separate energy equations for the electrons and protons, proton temperature anisotropy, collisional and collisionless heat flux, and an analytical treatment of low-frequency, reflection-driven, Alfvén-wave (AW) turbulence. To partition the turbulent heating between electron heating, parallel proton heating, and perpendicular proton heating, we employ results from the theories of linear wave damping and nonlinear stochastic heating. We account for mirror and oblique firehose instabilities by increasing the proton pitch-angle scattering rate when the proton temperature anisotropy exceeds the threshold for either instability. We numerically integrate the equations of the model forward in time until a steady state is reached, focusing on two fast-solar-wind-like solutions. These solutions are consistent with a number of observations, supporting the idea that AW turbulence plays an important role in the origin of the solar wind.
Multi-nucleon bound states in $N_f=2+1$ lattice QCD

We report on our on-going effort to calculate the properties of light nuclei directly from quarks and gluons based on lattice QCD. After briefly introducing our motivations and aims, we describe our strategy of fixing the strange quark mass at its physical value and approaching the physical point for the up and down quark masses step by step from the region of heavy quark masses. A successful calculation for the pion mass of 0.51GeV is reviewed, and the status for a lighter pion mass of 0.30GeV is reported.
Analysis of the Intuitive Teleoperated System of the TxRob Multimodal Robot

—Natural disasters such as earthquakes, avalanches, landslides, among others, leave in their path people who may be trapped in the rubble, which are hardly found by rescue agents, so a reliable system in the operation of an exploration and rescue robot is essential. This paper aims to evaluate the systems proposed for the operation of the TxRob exploration robot. The teleoperated control systems that were developed for the manipulation of the robot are: a multimodal system feedback with information through different sensors, and a GUI control system using joystick buttons. These systems were analyzed using subjective metrics such as NASA-TLX, Scale Utility System (SUS) and Microsoft Reaction Cards, which provide interesting data when evaluating the performance of an interface, as well as the workload, user satisfaction and usability; these aspects are used to conclude which system is the most intuitive when performing rescue operations in case of a disaster, among others. 15 operators were evaluated to validate this system; the age range of the operators was between 20 and 43 years old and 20% of them had previously used VR headsets. Priority is given to the most immersive, easy to use and the most efficient system to perform the task of handling the robot.
Spatially Coupled LDPC Codes with Non-uniform Coupling for Improved Decoding Speed

We consider spatially coupled low-density parity-check codes with finite smoothing parameters. A finite smoothing parameter is important for designing practical codes that are decoded using low-complexity windowed decoders. By optimizing the amount of coupling between spatial positions, we show that we can construct codes with improved decoding speed compared with conventional, uniform smoothing constructions. This leads to a significantly better performance under decoder complexity constraints while keeping the degree distribution regular. We optimize smoothing configurations using differential evolution and illustrate the performance gains by means of a simulation.
The Suzaku Observation of NGC3516: Complex Absorption and the Broad and Narrow FeK Lines

We present results from a 150 ksec Suzaku observation of the Seyfert 1.5 NGC 3516 in October 2005. The source was in a relatively highly absorbed state. Our best-fit model is consistent with the presence of a low-ionization absorber which has a column density near 5 * 10^{22} cm^{-2} and covers most of the X-ray continuum source (covering fraction 96-100%). A high-ionization absorbing component, which yields a narrow absorption feature consistent with Fe K XXVI, is confirmed. A relativistically broadened Fe K alpha line is required in all fits, even after the complex absorption is taken into account; an additional partial-covering component is an inadequate substitute for the continuum curvature associated with the broad Fe line. A narrow Fe K alpha emission line has a velocity width consistent with the Broad Line Region. The low-ionization absorber may be responsible for producing the narrow Fe K alpha line, though a contribution from additional material out of the line of sight is possible. We include in our model soft band emission lines from He- and H-like ions of N, O, Ne and Mg, consistent with photo-ionization, though a small contribution from collisionally-ionized emission is possible.
Physics at a 100 TeV pp collider: Higgs and EW symmetry breaking studies

Author(s): Contino, R; Curtin, D; Katz, A; Mangano, ML; Panico, G; Ramsey-Musolf, MJ; Zanderighi, G; Anastasiou, C; Astill, W; Bambhaniya, G; Behr, JK; Bizon, W; Dev, PS Bhupal; Bortoletto, D; Buttazzo, D; Cao, Q-H; Caola, F; Chakrabortty, J; Chen, C-Y; Chen, S-L; Florian, D de; Dulat, F; Englert, C; Frost, JA; Fuks, B; Gherghetta, T; Giudice, G; Gluza, J; Greiner, N; Gray, H; Hartland, NP; Issever, C; Jelinski, T; Karlberg, A; Kim, JH; Kling, F; Lazopoulos, A; Lee, SJ; Liu, Y; Luisoni, G; Mazzitelli, J; Mistlberger, B; Monni, P; Nikolopoulos, K; Mohapatra, RN; Papaefstathiou, A; Perelstein, M; Petriello, F; Plehn, T; Reimitz, P; Ren, J; Rojo, J; Sakurai, K; Schell, T; Sala, F; Selvaggi, M; Shao, H-S; Son, M; Spannowsky, M; Srivastava, T; Su, S-F; Szafron, R; Tait, T; Tesi, A; Thamm, A; Torrielli, P; Tramontano, F; Winter, J; Wulzer, A; Yan, Q-S; Yao, WM; Zhang, Y-C; Zhao, X; Zhao, Z; Zhong, Y-M | Abstract: This report summarises the physics opportunities for the study of Higgs bosons and the dynamics of electroweak symmetry breaking at the 100 TeV pp collider.
Branded childhood: Infants as digital capital on Instagram

The relationships between childhood, labour and value are changing in today’s digital culture. Drawing on a visual discourse analysis of 10 Scandinavian influencers’ Instagram accounts, this paper explores how the connections between the commercialisation and sacralisation of children appear in the digital age. The results show how infants function as digital capital for building relationships between consumers and products and how they are structured into a framework around consumption and used in narratives to strengthen the parents’ brand. The findings suggest an urgent need for a legal framework for child labour in social media.
Enabling Resilient Quantum-Secured Microgrids Through Software-Defined Networking

Quantum key distribution (QKD) has been considered a potent and mature approach to secure communication in the quantum era. However, there exist resilience gaps that hinder the practical usefulness of QKD. This article improves the resilience of a QKD-based microgrid by leveraging software-defined networking (SDN). Specifically, the following contributions have been made. First, a novel QKD- and SDN-based communication framework is devised for microgrids. Second, an enhanced QKD simulator is developed, which can simulate both the number of generated keys and the amount of classical data required, providing a more accurate QKD study in microgrids. Third, an SDN-based resilience enhancement strategy, which incorporates three practical SDN applications, is developed to improve the system's resilience. Finally, a QKD- and SDN-enabled cyberphysical microgrid prototype is built in an RTDS environment using real whitebox SDN switches. Extensive case studies validate the effectiveness and excellent performance of SDN to improve the resilience of QKD-based microgrids in various situations.
Realizing the Tactile Internet through Intelligent Zero Touch Networks

The Internet of Things is expected to evolve and create numerous technological advances, paving the road for solutions that were once considered impossible. The Tactile Internet (TI), which is envisioned to enable real-time transmission of haptic and conventional data traffic, is creating that paradigm shift toward control-based communication between end users and machines. Tele-operation, augmented/virtual reality vehicle platooning, and industrial automation are all applications that can be supported by TI. The realization of TI over beyond fifth generation creates challenges for the current wireless communication and networking infrastructure. Network and communication reliability, ultra-high data rate connectivity, ultra-low latency, and stringent quality of service/experience (QoS/QoE) requirements must all be achieved for TI to effectively operate. Existing network infrastructures that require manual means of management and control cannot accommodate stringent TI constraints. With that said, the adaptation of advanced intelligent and cooperative solutions at the edge of the network is a crucial step toward guaranteed availability of resources and TI services. This article identifies and analyzes some of the technical issues that TI faces, then highlights and proposes potential solutions toward zero touch networks. We pay particular attention to the reliability performance gains achieved from cooperative edge devices, and their role in the provisioning of zero touch networking infrastructures that support TI applications.
Topologically twisted renormalization group flow and its holographic dual

Euclidean field theories admit more general deformations than usually discussed in quantum field theories because of mixing between rotational symmetry and internal symmetry (a.k.a topological twist). Such deformations may be relevant, and if the subsequent renormalization group flow leads to a non-trivial fixed point, it generically gives rise to a scale invariant Euclidean field theory without conformal invariance. Motivated by an ansatz studied in cosmological models some time ago, we develop a holographic dual description of such renormalization group flows in the context of AdS/CFT. We argue that the non-trivial fixed points require fine-tuning of the bulk theory in general, but remarkably we find that the $O(3)$ Yang-Mills theory coupled with the four-dimensional Einstein gravity in the minimal manner supports such a background with the Euclidean AdS metric.