Miracle-dz/UniFAR-FTUs huggingface dataset:
X-RAY OBSERVATIONS OF RADIO TRANSIENTS WITHOUT OPTICAL HOSTS

We present a 50 ks Chandra/ACIS-I X-ray observation of the Bower et al. Very Large Array archival field. The observations reach a limiting sensitivity of ∼10−4 counts s−1, corresponding to a flux of a few times 10−15 erg s−1 cm−2 for the models we explore. The Chandra observations were undertaken to search for X-ray counterparts to the eight transient sources without optical counterparts, and the two transient sources with optical counterparts seen by Bower et al. Neither of the sources with optical counterparts was detected in X-rays. One of the eight optical non-detections is associated with a marginal (2.4σ) X-ray detection in our Chandra image. A second optically undetected Bower et al. transient may be associated with a z = 1.29 X-ray-detected quasar or its host galaxy, or alternatively is undetected in X-rays and is a chance association with the nearby X-ray source. The X-ray flux upper limits, and the one marginal detection, are consistent with the interpretation of Ofek et al. that the optically undetected radio transients are flares from isolated old Galactic neutron stars. The marginal X-ray detection has a hardness ratio that implies a temperature too high for a simple one-temperature neutron star model, but plausible multi-component fits are not excluded, and in any case the marginal X-ray detection may be due to cosmic rays or particle background. The X-ray flux upper limits are also consistent with flare star progenitors at ≳ 1 kpc (which would require the radio luminosity of the transient to be unusually high for such an object) or less extreme flares from brown dwarfs at distances of around 100 pc.
Limits of relative entropies associated with weakly interacting particle systems

The limits of scaled relative entropies between probability distributions associated with N-particle weakly interacting Markov processes are considered. The convergence of such scaled relative entropies is established in various settings. The analysis is motivated by the role relative entropy plays as a Lyapunov function for the (linear) Kolmogorov forward equation associated with an ergodic Markov process, and Lyapunov function properties of these scaling limits with respect to nonlinear finite-state Markov processes are studied in the companion paper [6].
Tensor partial least squares for hyperspectral image classification

Abstract A hyperspectral image is classically a three-way (or tensor) block of data. In order to extract information from it, it has to be classified using image classifiers. Since classifiers are traditionally two-way classifiers, the hyperspectral data is unfolded into a two-way data. Processing the hyperspectral data as a two-way data often reduces the accuracy of the classification. This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. TPLS has been proven to be more robust than the two-way PLS. Unlike the two-way classifiers, the TPLS utilises the hyperspectral data as a three-way (tensor) data. Two hyperspectral images of Indian Pines region in Northwest Indiana, USA and University of Pavia, Italy are used as test beds for the experiment. The results extracted by the model are the loadings, loadings, scores, and scores. The computed training mean r square values for Indian Pines and University of Pavia are and respectively. The results of the experiment show that the TPLS performed better than the unfolded PLS, but fell short of the notable traditional classifiers.
Structure and magnetic properties of nanocrystalline (Fe1−xCox)90Zr7B2Cu1 (0⩽x⩽0.6)

Nanocrystalline (Fe1−xCox)90Zr7B2Cu1 (0⩽x⩽0.6) alloys were investigated by x-ray diffraction, 57Fe Mossbauer spectroscopy, and magnetic measurements. The grain size did not change significantly with composition. Co was preferentially partitioned to the residual amorphous phase, and the bcc grains were accordingly enriched by Fe. The room-temperature coercive field increased with the Co addition, which is attributed to the increasing magnetostriction constant.
The key features of workplace meetings: Conceptualizing the why, how, and what of meetings at work

Given the focal role that group and team meetings play in shaping employees’ work lives (and schedules), the scarcity of conceptual and empirical attention to the topic in extant organizational psychology research is a major oversight that stalls scientific understanding of organizational behavior more broadly. With the explosion of meetings in recent years, in part due to the COVID-19 pandemic, some even wonder why organizational psychology has not already figured out meetings from both a science and practice perspective. The purpose of this paper is to synthesize the extant literature on the science of workplace meetings and sort the works by identifying the key features of the meeting phenomenon. The five key features of workplace meetings identified include Leading, Interacting, Managing Time, Engaging, and Relating. We couch these features within a larger framework of how meetings are the intersection of collaboration in organizations and indispensable to organizational success. Against this conceptual backdrop, we reviewed a total of 253 publications, noting opportunities for future research and discussing practical implications. Plain Language Summary Given the focal role that group and team meetings play in shaping employees’ work lives (and schedules), the scarcity of conceptual and empirical attention in extant organizational psychology research is a major oversight that stalls scientific understanding of organizational behavior more broadly. With the explosion of meetings that has occurred in recent years, in part due to the COVID-19 pandemic, some even wonder why organizational psychology has not already figured out meetings from both a science and practice perspective. The purpose of this paper is to review the literature on the science of workplace meetings by identifying the core features of the phenomenon and sorting the extant literature along these features. The five core features identified include leading, interacting, managing time, engaging, relating. We couch these features within a larger framework of how meetings are the intersection of collaboration in organizations and a major key to organizational success. Against this conceptual backdrop, we reviewed a total of 253 publications, noting opportunities for future research and discussing practical implications. We conclude our review with an overview of the special issue on workplace meetings, which is an overt attempt to launch research that will fill the theoretical and conceptual gap in the science of meetings.
Perturbative transport experiments: to what extent do they really probe microscopic transport?

Experiments featuring fast heat propagation, or so called "non-local" transport, were a puzzle for almost two decades. However recently it was shown, and it is recalled here, that a collective ideal MHD response of the plasma provides a quantitative agreement with these experiments, whereas transport plays just a secondary role. Then this work reviews the algebraic approach to transport data inversion that provides a formally exact solution, as well as a quantitative assessment of error bars, limited to periodic signals. Conversely, standard transport reconstructions are shown to sometimes fail to match the exact solution. The adoption of automated global search algorithms based upon Genetic Algorithms is bound to greatly increase the probability of finding optimal solutions. Finally, the standard methods of reconstruction infer the diffusivity D and pinch V by matching experimental data against those simulated by transport codes. These methods do not warrant the validity neither of the underlying models of transport, nor of the reconstructed D(r) and V(r), even when the results look reasonable.
Bogolyubov-Hartree-Fock approach to studying the QCD ground state

The quark's behavior while influenced by a strong stochastic gluon field is analyzed. An approximate procedure for calculating the effective Hamiltonian is developed and the corresponding ground state within the Hartree-Fock-Bogolyubov approach is found. The comparative analysis of various Hamiltonian models is given and transition to the chiral limit in the Keldysh model is discussed in detail.
On two optomechanical effects of laser-induced electrostriction in dielectric liquids

This paper presents electrostriction from the phenomenological perspective, and gives details on two mechanical effects arising from laser-matter interaction. Electrostriction is the tendency of materials to compress in the presence of a varying electric field. In this paper, the investigated materials are polar and nonpolar dielectric liquids. It is stressed that the dominant factor is the time evolution of the laser pulse, which causes tensile stresses and acoustic waves. The study is supported by experimental realization of electrostriction, which can be detected only at favorable conditions (observed in water, but not in castor oil). This study will shed light in developing measurement techniques (e.g., laser-induced grating spectroscopy) and in explaining the onset of cavities and laser-induced liquid breakdown.
Quantum 't Hooft operators and S-duality in N=4 super Yang-Mills

We provide a quantum path integral definition of an 't Hooft loop operator, which inserts a pointlike monopole in a four dimensional gauge theory. We explicitly compute the expectation value of the circular 't Hooft operators in N=4 super Yang-Mills with arbitrary gauge group G up to next to leading order in perturbation theory. We also compute in the strong coupling expansion the expectation value of the circular Wilson loop operators. The result of the computation of an 't Hooft loop operator in the weak coupling expansion exactly reproduces the strong coupling result of the conjectured dual Wilson loop operator under the action of S-duality. This paper demonstrates - for the first time - that correlation functions in N=4 super Yang-Mills admit the action of S-duality.
Antimicrobial Challenge in Acute Care Surgery

The burden of infections in acute care surgery (ACS) is huge. Surgical emergencies alone account for three million admissions per year in the United States (US) with estimated financial costs of USD 28 billion per year. Acute care facilities and ACS patients represent boost sanctuaries for the emergence, development and transmission of infections and multi-resistant organisms. According to the World Health Organization, healthcare-associated infections affected around 4 million cases in Europe and 1.7 million in the US alone in 2011 with 39,000 and 99,000 directly attributable deaths, respectively. In this scenario, antimicrobial resistance arose as a public-health emergency that worsens patients’ morbidity and mortality and increases healthcare costs. The optimal patient care requires the application of comprehensive evidence-based policies and strategies aiming at minimizing the impact of healthcare associated infections and antimicrobial resistance, while optimizing the treatment of intra-abdominal infections. The present review provides a snapshot of two hot topics, such as antimicrobial resistance and systemic inflammatory response, and three milestones of infection management, such as source control, infection prevention, and control and antimicrobial stewardship.
Twistor theory of higher dimensional black holes: II. Examples

We apply the twistor construction for higher dimensional black holes to known examples in five spacetime dimensions. First, the patching matrices are calculated from the explicit metric for these examples. Then, an ansatz is proposed for obtaining the patching matrix instead from the data of a rod structure and angular momenta. The ansatz is tested on examples with up to three nuts, and these are shown to give flat space, the Myers–Perry solution and the black ring, as expected. Rules for the transition between different adaptations of the patching matrix and the elimination of conical singularities are developed and seen to work.
The phase diagram of neutral quark matter with pseudoscalar condensates in the color-flavor locked phase

We calculate the phase diagram of color and electrically neutral quark matter in weak equilibrium using the NJL model at high baryon densities. We extend previous analyses by taking into account the possibility of formation of pseudoscalar meson condensates in the color-flavor locked (CFL) phase. We find that the kaon condensed phase (CFL-K0) is preferred over the CFL phase at low temperatures. It is found that the CFL-K0 phase contains no gapless modes. The results we have obtained should be of relevance for the modeling of compact stars.
GRB 131231A: IMPLICATIONS OF THE GeV EMISSION

GRB 131231A was detected by the Large Area Telescope on board the Fermi Space Gamma-ray Telescope. The high-energy gamma-ray (>100 MeV) afterglow emission spectrum is Fν∝ν−0.54 ± 0.15 in the first ∼1300 s after the trigger and the most energetic photon has an energy of ∼62 GeV, arriving at t ∼ 520 s. With reasonable parameters of the gamma-ray burst (GRB) outflow as well as the density of the circum-burst medium, the synchrotron radiation of electrons or protons accelerated at an external forward shock have difficulty accounting for the data. Rather, the synchrotron self-Compton radiation of the forward shock-accelerated electrons can account for both the spectrum and temporal behavior of the GeV afterglow emission. We also show that the prospect for detecting GRB 131231A-like GRBs with the Cherenkov Telescope Array is promising.
Blame as a sentiment

ABSTRACT The nature of blame is not to be identified solely with a judgment, or an overt act, or an angry emotion. Instead, blame should be identified with a sentiment: more specifically, a multi-track disposition that manifests itself in various different emotions, thoughts or actions in a range of different circumstances. This paper aims to argue for these two claims. I start by arguing that blame is not solely a judgment, overt act, or an angry emotion. Then I develop the view that blame is a sentiment. In doing so, I also show how viewing blame as a sentiment avoids objections that justifies us in dismissing the previous accounts. In addition, I argue that it significantly affects other inquiries concerning blame. I end by answering a skeptical challenge that there cannot be an illuminating and unifying analysis of blame.
The heterogeneity of CAFs and immune cell populations in the tumor microenvironment of pancreatic adenocarcinoma

Over the past decade, researchers have identified and characterized the diverse cell populations within the tumor microenvironment of pancreatic cancer. The interplay between these cells in the TME either promotes or inhibits the malignant behavior of pancreatic cancer cells. Cancer-associated fibroblasts, previously thought to be one main subset, can now be broadly subclassified into three main types: inflammatory, myofibroblastic, and antigen-presenting, with the former and the latter two exerting pro-tumoral and anti-tumoral functions, respectively. Myeloid cells include myeloid-derived suppressor cells and tumor-associated macrophages. Myeloid-derived suppressor cells can be further divided into polymorphonuclear and monocytic and exhibit pro-tumoral activities. Tumor-associated macrophages exhibit M1 (anti-tumoral) or M2 (pro-tumoral) phenotypes, which are present in a dynamic fashion between the two phenotypes. Other constituents of the immune make-up of the tumor microenvironment include T and B cells and less described subsets which include natural killer cells, γδ T cells, and group 2 innate lymphoid cells. This review provides an overview of the studies that lead to the discovery of those cellular populations and highlights the recent efforts to utilize them as therapeutic targets in pancreatic cancer.
FOXA1 in Breast Cancer: A Luminal Marker with Promising Prognostic and Predictive Impact

Simple Summary Forkhead box A1 protein (FOXA1) is described as a pioneer factor that binds to condensed chromatin, permitting the recruitment of other transcription factors to the DNA. Worthy of note, FOXA1 is an interacting partner of both the estrogen and androgen receptor, playing a crucial role in the development and progression of breast cancer. Moreover, it is necessary for the estrogen-receptor-binding and subsequent transcriptional activation of luminal genes in breast cancer cells. Herein, we review principal roles of FOXA1 in normal and neoplastic tissues, with special attention to its prognostic and predictive role in luminal and non-luminal breast cancers. Abstract The present review focuses on the function of the forkhead protein FOXA1 in breast cancer (BC) in relation to steroid hormone receptors. We explored the currently available analytic approaches for FOXA1 assessment both at gene and protein levels, comparing the differences between the available techniques used for its diagnostic assessment. In addition, we elaborated on data regarding the prognostic and predictive role of this marker in BC based on several studies that evaluated its expression in relation to the outcome and/or response to therapy. FOXA1, similar to the androgen receptor (AR), may have a dual role in BC according to hormonal status. In luminal cancers, its expression contributes to a better prognosis, while in triple-negative breast cancers (TNBC), it implies an adverse outcome. Consequently, we observed that FOXA1-positive expression in a neoadjuvant setting may predict a lack of response in luminal BC as opposed to TNBC, in which FOXA1 allegedly increases its chemosensitivity. In conclusion, considering its accessible and convenient identification by immunohistochemistry, its important impact on prognosis, and its suitability to identify patients with different responses to chemotherapy, we propose that FOXA1 could be tested in routine diagnostics as an additional prognostic and predictive marker in BC.
The ability of tree stems to intercept debris flows in forested fan areas: A laboratory modelling study

Debris flows are one of the most common geomorphic processes in steep mountainous areas. The control of their propagation on alluvial fans is fundamental; valley bottoms are usually characterised by high damage potential because they contain concentrations of inhabitants and infrastructure. It is well known that forests have a protective function in that they reduce the triggering of debris flows, as well as hinder their motion and promote deposition, but a quantitative assessment of these effects is still lacking. Using laboratory experiments that simulate debris-flow depositional processes, this research investigated the ability of forests to reduce debris-flow runout and depositional area. The experiments considered two different forest types, high forests and coppice forests, and four volumetric concentrations of sediment (0.50, 0.55, 0.60, and 0.65). The results confirmed that the sediment concentration of the flow is a key factor in determining the geometry of the deposits. On the other hand, forests can reduce debris-flow runout distance and, in general terms, affect the characteristics of their deposits. The results showed that vegetation appear to reduce debris-flow motion especially when the debris-flow kinematic load at the fan apex is low. About the sediment concentration of the mixture, high forest did not exhibit a clear behaviour while coppice forest appears to promote significant deposition at all of the tested concentrations, and this effect increases with the solid concentration (reductions in runout between approximately 20% and 30% at C V =0.50 and C V =0.65, respectively, were observed). Due to their higher tree density, in fact, coppice forests seem to have a better protective effect than the rigid trunks of high forest trees. For this last type of forest, a relationship between the H/L ratio, which represents energy dissipation, have been found and compared with the scenario without forest.
All-sky LIGO Search for Periodic Gravitational Waves in the Early S5 Data

We report on an all-sky search with the LIGO detectors for periodic gravitational waves in the frequency range 50 – 1100 Hz and with the frequency's time derivative in the range −5 × 10 −9 – 0 Hz s −1. Data from the first eight months of the fifth LIGO science run (S5) have been used in this search, which is based on a semi-coherent method (PowerFlux) of summing strain power. Observing no evidence of periodic gravitational radiation, we report 95% confidence-level upper limits on radiation emitted by any unknown isolated rotating neutron stars within the search range. Strain limits below 10 −24 are obtained over a 200-Hz band, and the sensitivity improvement over previous searches increases the spatial volume sampled by an average factor of about 100 over the entire search band. For a neutron star with nominal equatorial ellipticity of 10 −6 , the search is sensitive to distances as great as 500 pc—a range that could encompass many undiscovered neutron stars, albeit only a tiny fraction of which would likely be rotating fast enough to be accessible to LIGO. This ellipticity is at the upper range thought to be sustainable by conventional neutron stars and well below the maximum sustainable by a strange quark star.
Adaptive robust stabilization of a class of nonlinear systems with partially known uncertainties

The problem of robust stabilization of nonlinear systems with partially known uncertainties is considered. A class of continuous adaptive robust state feedback controllers with simpler structure is proposed. It is shown that the resulting closed-loop nonlinear systems with uncertainties are stable in the sense of uniform ultimate boundedness. In contrast with some results presented in the control literature, the proposed adaptive law for updating the estimate values of the unknown parameters is continuous, and the existence of the solutions to the resulting closed-loop systems in the usual sense can well be guaranteed. Moreover, due to the continuity of state feedback controller and adaptive law, the proposed adaptive robust state feedback controllers is easily implemented in practical robust control problems. Finally, an illustrative example is given to demonstrate the utilization of the results.
A Smart Cloud and IoVT-Based Kernel Adaptive Filtering Framework for Parking Prediction

Smart vehicle parking is a collaborative effort of technology and human innovation where the efforts are to be minimized to save time and efforts. In smart cities it is one of the common challenges to introduce smart parking to increase parking efficiency and combat numerous issues like identification of free parking slot and real-time dynamic updation on traffic to save fuel and energy. In this work, a new cloud-based smart parking architecture is proposed that can help in predicting the available free parking slots in smart cities. Initially, the methodology collects the car count at any near by parking using Internet of Things (IoT) and Cloud-based approach. Later, the approach uses the Kernel Least Mean Square algorithm to make heuristic predictions about future vacancy using auto-regression. The proposed approach thus utilizes the online learning or model training. To validate the efficacy of the proposed work, the testing is done on the real-time dataset. The extensive numerical investigation is performed on parking lots of four international airports of a smart city in actual deployment scenarios. The experimentation has revealed superior performance of the method in terms of vacancy prediction.