Miracle-dz/UniFAR-FTUs huggingface dataset:
Correction: Design of Wide-Spectrum Inhibitors Targeting Coronavirus Main Proteases

funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Macrosomia and hyperinsulinaemic hypoglycaemia in patients with heterozygous mutations in the HNF4A gene. PLoS Med 4(4): e118. distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Background Macrosomia is associated with considerable neonatal and maternal morbidity. Factors that predict macrosomia are poorly understood. The increased rate of macrosomia in the offspring of pregnant women with diabetes and in congenital hyperinsulinaemia is mediated by increased foetal insulin secretion. We assessed the in utero and neonatal role of two key regulators of pancreatic insulin secretion by studying birthweight and the incidence of neonatal hypoglycaemia in patients with heterozygous mutations in the maturity-onset diabetes of the young (MODY) genes HNF4A (encoding HNF-4a) and HNF1A/TCF1 (encoding HNF-1a), and the effect of pancreatic deletion of Hnf4a on foetal and neonatal insulin secretion in mice. We examined birthweight and hypoglycaemia in 108 patients from families with diabetes due to HNF4A mutations, and 134 patients from families with HNF1A mutations. Birthweight was increased by a median of 790 g in HNF4A-mutation carriers compared to non-mutation family members (p , 0.001); 56% (30/54) of HNF4A-mutation carriers were macrosomic compared with 13% (7/54) of non-mutation family members (p , 0.001). Transient hypoglycaemia was reported in 8/54 infants with heterozygous HNF4A mutations, but was reported in none of 54 non-mutation carriers (p ¼ 0.003). There was documented hyperinsulinaemia in three cases. Birthweight and prevalence of neonatal hypoglycaemia were not increased in HNF1A-mutation carriers. Mice with pancreatic b-cell deletion of Hnf4a had hyperinsulinaemia in utero and hyperinsulinaemic hypoglycaemia at birth. Conclusions HNF4A mutations are associated with a considerable increase in birthweight and macrosomia, and are a novel cause of neonatal hypoglycaemia. This study establishes a key role for HNF4A in determining foetal birthweight, and uncovers an unanticipated feature of the natural history of HNF4A-deficient diabetes, with hyperinsulinaemia at birth evolving to decreased insulin secretion and diabetes later in life.
NEONATAL INTENSIVE

Društvo medicinskih sester Slovenj Gradec je imelo 10. februarja 1984 svoj redni, volilni občni zbor. Udeležilo se ga je veliko članic iz vsega koroškega območja: iz Slovenj Gradca, Raven na Koroškem, Mežice, Črne, Dravograda in Radelj ob Dravi. Take udeležbe srno bili zelo veseli, še posebej, ker se je srečanja udeležilo veliko mladih medicinskih sester. Dosedanja predsednica društva višja medicinska sestra Ana Perše je začela občni zbor in posredovala poročilo o delu v preteklem mandatnem obdobju. Društvo medicinskih sester Slovenj Gradec je štelo v letu 1982286 članic, v letu 1983 pa 295. Glavni odbor je pripravil delovni načrt, ki je bil potrjen na skupščini in ga potem tudi realiziral. Skrb je bila namenjena predvsem strokovnemu izpopolnjevanju članic kakor tudi večanju stanovske zavesti medicinskih sester. Poskrbeli pa srno tudi za rekreativen program. Organizirali srno predavanja in druge oblike strokovnega in društvenega izpopolnjevanja: o hipertrofiji (dr. Jurij Simoniti), o epilepsiji (dr. Milan Špegel), o življenju in delu v Angoli (prof. dr. Ivo Raišp), seminar Sekcije operacijskih medicinskih sester, ki so se ga udeležile tudi druge članice v Umetnostnem paviljonu, pohod na Kremžarjev vrh ob mednarodnem dnevu medicinskih sester, 12. maja (želimo, da bi postal ta pohod tradicionalen), strokovno ekskurzijo v Zdravilišče Rogaška Slatina, kjer so nas zelo lepo sprejeli in nam strokovno predstavili delo in življenje v njihovi delovni organizaciji. Nadalje so se naše članice udeleževale strokovnega izpopolnjevanja tudi zunaj našega društva v najrazličnejših sekcijah in delovnih organizacijah. Tako so se udeležile: seminarja za reanimacijo v Ljubljani, ustanovne skupščine Sekcije kirurških medicinskih sester v Ljubljani, skupščine Zveze društev medicinskih sester Slovenije v Ljubljani in strokovnega seminarja iz okulistike, skupščine Zveze društev medicinskih sester Jugoslavije v Beogradu, ki je bila združena s tridnevnim seminarjem. Obiskale so nas tudi medicinske sestre iz Novega mesta in Kranja. Ogledale so si predvsem našo splošno bolnišnico, ob tem pa srno organizirali tudi strokovne pogovore. Z obiskom so bile ude ležen ke zelo zadovoljne. Menim, da je bilo društveno življenje in strokovno delo v preteklem obdobju zelo razgibano in živahno. Seveda bi bilo naše delo z večjo aktivnost jo vseh članic lahko še kvalitetnejše. Društvo je svoje delo usklajevalo s programom Zveze društev medicinskih sester Slovenije. Naše članice so tudi redno hodile na seje predsedstva Zveze in poročale o našem delu ter se udeleževale razprav o delu in življenju medicinskih sester. Z delom predsedstva so vedno seznanjale tudi vse naše članice. Tudi v prihodnje bo naša skrb namenjena predvsem strokovni in društveni rasti naših članic. Prav tako bomo več pozornosti posvetili rekreaciji v naravi in skrbi za čisto in zdravo
Peculiarities of morphological and functional characteristics of residents of the North-East of Russia, depending on background meteorological and heliomagnetic indices

In order to reveal the functional interrelationships of the main physiological characteristics of the organism with the external environment exogenous abiotic factors, as well as the evaluation of the magnetic field factor effect on the morphofunctional sta­ tus main characteristics, 18 healthy men aged 25–49 years old, residents of the North­East of Russia (Magadan) were examined. Parameters of the cardiovascular system, external respiration and gas exchange, as well as heart rate variability were studied. Environmental factors, such as air temperature, wind speed, air humidity, atmospheric pressure and K­index were separately an­ alyzed. Identified were different types of responses by human organisms to the influence of environmental abiotic factors, de­ pending on the initial vegetative tone of the examinees. Thus, the individual profile of the subject with a sympathotonic type of au­ tonomic regulation was characterized by a pronounced dynamics of the studied indicators in response to the influence of environ­ mental factors. At the same time, for the subjects with normotonic and vagotonic initial tone, positive air temperatures were found to be the most stressful factors. The obtained data indicate that the most pronounced stress of the functional state is observed with the synergistic action of the temperature factor and the perturbed magnetic field (according to the K­index data). The conducted correlation pleiades analysis have made it possible to establish an increase in the surveyed men’s level of systolic and diastolic arterial pressure in response to the voltage of the Earth's magnetic field. It has been also revealed that the effect of the Earth's abiotic factors on the heart rate variability parameters is manifested in the activation of the parasympathetic part of the autonomic nervous system, which is most beneficial for the organism while forming response compensatory­adaptive reactions.
Investigating the therapeutic potential of NUAK1 for the treatment of colorectal cancer

Copyright and moral rights for this work are retained by the author A copy can be downloaded for personal non-commercial research or study, without prior permission or charge This work cannot be reproduced or quoted extensively from without first obtaining permission in writing from the author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given
Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics

Reinforcement learning algorithms such as Q-learning have shown great promise in training models to learn the optimal action to take for a given system state; a goal in applications with an exploratory or adversarial nature such as task-oriented dialogues or games. However, models that do not have direct access to their state are harder to train; when the only state access is via the medium of language, this can be particularly pronounced. We introduce a new model amenable to deep Q-learning that incorporates a Siamese neural network architecture and a novel refactoring of the Q-value function in order to better represent system state given its approximation over a language channel. We evaluate the model in the context of zero-shot text-based adventure game learning. Extrinsically, our model reaches the baseline's convergence performance point needing only 15% of its iterations, reaches a convergence performance point 15% higher than the baseline's, and is able to play unseen, unrelated games with no fine-tuning. We probe our new model's representation space to determine that intrinsically, this is due to the appropriate clustering of different linguistic mediation into the same state.
Topological Persistence Machine of Phase Transitions

The study of phase transitions using data-driven approaches is challenging, especially when little prior knowledge of the system is available. Topological data analysis is an emerging framework for characterizing the shape of data and has recently achieved success in detecting structural transitions in material science, such as the glass-liquid transition. However, data obtained from physical states may not have explicit shapes as structural materials. We thus propose a general framework, termed "topological persistence machine," to construct the shape of data from correlations in states, so that we can subsequently decipher phase transitions via qualitative changes in the shape. Our framework enables an effective and unified approach in phase transition analysis. We demonstrate the efficacy of the approach in detecting the Berezinskii-Kosterlitz-Thouless phase transition in the classical XY model and quantum phase transitions in the transverse Ising and Bose-Hubbard models. Interestingly, while these phase transitions have proven to be notoriously difficult to analyze using traditional methods, they can be characterized through our framework without requiring prior knowledge of the phases. Our approach is thus expected to be widely applicable and will provide practical insights for exploring the phases of experimental physical systems.
Manin–Drinfeld cycles and derivatives of $L$-functions

We introduce a Manin-Drinfeld cycle in the moduli space of $\mathrm{PGL}_2$-shtukas with $r$ legs, arising from the diagonal torus. We show that its intersection pairing with Yun and Zhang's Heegner-Drinfeld cycle is equal to the product of the $r$-th central derivative of an automorphic $L$-function $L(\pi,s)$ and Waldspurger's toric period integral. When $L(\pi,\frac12) \neq 0$, this gives a new geometric interpretation for the Taylor series expansion. When $L(\pi,\frac12) = 0$, the pairing vanishes, suggesting "higher" analogues of the vanishing of cusps in the modular Jacobian. Our proof sheds new light on the algebraic correspondence introduced by Yun-Zhang, which is the geometric incarnation of "differentiating the $L$-function". We realize it as the Lie algebra action of $e+f \in \mathfrak{sl}_2$ on $(\mathbb{Q}_\ell^2)^{\otimes 2d}$. The comparison of relative trace formulas needed to prove our formula is then a consequence of Schur-Weyl duality.
Query Focused Multi-Document Summarization with Distant Supervision

We consider the problem of better modeling query-cluster interactions to facilitate query focused multi-document summarization (QFS). Due to the lack of training data, existing work relies heavily on retrieval-style methods for estimating the relevance between queries and text segments. In this work, we leverage distant supervision from question answering where various resources are available to more explicitly capture the relationship between queries and documents. We propose a coarse-to-fine modeling framework which introduces separate modules for estimating whether segments are relevant to the query, likely to contain an answer, and central. Under this framework, a trained evidence estimator further discerns which retrieved segments might answer the query for final selection in the summary. We demonstrate that our framework outperforms strong comparison systems on standard QFS benchmarks.
LUDA: Boost LSM Key Value Store Compactions with GPUs

Log-Structured-Merge (LSM) tree-based key value stores are facing critical challenges of fully leveraging the dramatic performance improvements of the underlying storage devices, which makes the compaction operations of LSM key value stores become CPU-bound, and slow compactions significantly degrade key value store performance. To address this issue, we propose LUDA, an LSM key value store with CUDA, which uses a GPU to accelerate compaction operations of LSM key value stores. How to efficiently parallelize compaction procedures as well as accommodate the optimal performance contract of the GPU architecture challenge LUDA. Specifically, LUDA overcomes these challenges by exploiting the data independence between compaction procedures and using cooperative sort mechanism and judicious data movements. Running on a commodity GPU under different levels of CPU overhead, evaluation results show that LUDA provides up to 2x higher throughput and 2x data processing speed, and achieves more stable 99th percentile latencies than LevelDB and RocksDB.
Automatic, Dynamic, and Nearly Optimal Learning Rate Specification by Local Quadratic Approximation

In deep learning tasks, the learning rate determines the update step size in each iteration, which plays a critical role in gradient-based optimization. However, the determination of the appropriate learning rate in practice typically replies on subjective judgement. In this work, we propose a novel optimization method based on local quadratic approximation (LQA). In each update step, given the gradient direction, we locally approximate the loss function by a standard quadratic function of the learning rate. Then, we propose an approximation step to obtain a nearly optimal learning rate in a computationally efficient way. The proposed LQA method has three important features. First, the learning rate is automatically determined in each update step. Second, it is dynamically adjusted according to the current loss function value and the parameter estimates. Third, with the gradient direction fixed, the proposed method leads to nearly the greatest reduction in terms of the loss function. Extensive experiments have been conducted to prove the strengths of the proposed LQA method.
Complete CVDL Methodology for Investigating Hydrodynamic Instabilities

In fluid dynamics, one of the most important research fields is hydrodynamic instabilities and their evolution in different flow regimes. The investigation of said instabilities is concerned with the highly non-linear dynamics. Currently, three main methods are used for understanding of such phenomenon - namely analytical models, experiments and simulations - and all of them are primarily investigated and correlated using human expertise. In this work we claim and demonstrate that a major portion of this research effort could and should be analysed using recent breakthrough advancements in the field of Computer Vision with Deep Learning (CVDL, or Deep Computer-Vision). Specifically, we target and evaluate specific state-of-the-art techniques - such as Image Retrieval, Template Matching, Parameters Regression and Spatiotemporal Prediction - for the quantitative and qualitative benefits they provide. In order to do so we focus in this research on one of the most representative instabilities, the Rayleigh-Taylor one, simulate its behaviour and create an open-sourced state-of-the-art annotated database (RayleAI). Finally, we use adjusted experimental results and novel physical loss methodologies to validate the correspondence of the predicted results to actual physical reality to prove the models efficiency. The techniques which were developed and proved in this work can be served as essential tools for physicists in the field of hydrodynamics for investigating a variety of physical systems, and also could be used via Transfer Learning to other instabilities research. A part of the techniques can be easily applied on already exist simulation results. All models as well as the data-set that was created for this work, are publicly available at: this https URL.
Structure of the outer Galactic disc with Gaia DR2

Context. The structure of outer disc of our Galaxy is still not well described, and many features need to be better understood. The second Gaia data release (DR2) provides data in unprecedented quality that can be analysed to shed some light on the outermost parts of the Milky Way. Aims. We calculate the stellar density using star counts obtained from Gaia DR2 up to a Galactocentric distance R = 20 kpc with a deconvolution technique for the parallax errors. Then we analyse the density in order to study the structure of the outer Galactic disc, mainly the warp. Methods. In order to carry out the deconvolution, we used the Lucy inversion technique for recovering the corrected star counts. We also used the Gaia luminosity function of stars with MG < 10 to extract the stellar density from the star counts. Results. The stellar density maps can be fitted by an exponential disc in the radial direction hr = 2.07 ± 0.07 kpc, with a weak dependence on the azimuth, extended up to 20 kpc without any cut-off. The flare and warp are clearly visible. The best fit of a symmetrical S-shaped warp gives zw ≈ z⊙ + (37 ± 4.2(stat.) − 0.91(syst.))pc ⋅ (R/R⊙)2.42 ± 0.76(stat.) + 0.129(syst.)sin(ϕ + 9.3° ±7.37° (stat.) + 4.48° (syst.)) for the whole population. When we analyse the northern and southern warps separately, we obtain an asymmetry of an ∼25% larger amplitude in the north. This result may be influenced by extinction because the GaiaG band is quite prone to extinction biases. However, we tested the accuracy of the extinction map we used, which shows that the extinction is determined very well in the outer disc. Nevertheless, we recall that we do not know the full extinction error, and neither do we know the systematic error of the map, which may influence the final result. The analysis was also carried out for very luminous stars alone (MG < −2), which on average represents a younger population. We obtain similar scale-length values, while the maximum amplitude of the warp is 20 − 30% larger than with the whole population. The north-south asymmetry is maintained.
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction

Accurately predicting the possible behaviors of traffic participants is an essential capability for autonomous vehicles. Since autonomous vehicles need to navigate in dynamically changing environments, they are expected to make accurate predictions regardless of where they are and what driving circumstances they encountered. Several methodologies have been proposed to solve prediction problems under different traffic situations. These works usually combine agent trajectories with either color-coded or vectorized high definition (HD) map as input representations and encode this information for behavior prediction tasks. However, not all the information is relevant in the scene for the forecasting and such irrelevant information may be even distracting to the forecasting in certain situations. Therefore, in this paper, we propose a novel generic representation for various driving environments by taking the advantage of semantics and domain knowledge. Using semantics enables situations to be modeled in a uniform way and applying domain knowledge filters out unrelated elements to target vehicle’s future behaviors. We then propose a general semantic behavior prediction framework to effectively utilize these representations by formulating them into spatial-temporal semantic graphs and reasoning internal relations among these graphs. We theoretically and empirically validate the proposed framework under highly interactive and complex scenarios, demonstrating that our method not only achieves state-of-the-art performance, but also processes desirable zero-shot transferability.
Optimal synthesis of the Fredkin gate in a multilevel system

The optimal cost of a three-qubit Fredkin gate is 5 two-qubit entangling gates, and the overhead climbs to 8 when restricted to controlled-not (CNOT) gates. By harnessing higher-dimensional Hilbert spaces, we reduce the cost of a three-qubit Fredkin gate from 8 CNOTs to 5 nearest-neighbor CNOTs. We also present a construction of an n-control-qubit Fredkin gate with 2n + 3 CNOTs and 2n single-qudit operations. Finally, we design deterministic and non-deterministic three-qubit Fredkin gates in photonic architectures. The cost of a non-deterministic three-qubit Fredkin gate is further reduced to 4 nearest-neighbor CNOTs, and the success of such a gate is heralded by a single-photon detector. Our insights bridge the gap between the theoretical lower bound and the current best result for the n-qubit quantum computation.
Probing High-Energy Light Dark Matter with IceCube

The direct detection of particle dark matter through its scattering with nucleons is of fundamental importance to understand the nature of DM. In this work, we propose that the high-energy neutrino detectors like IceCube can be used to uniquely probe the DM-nucleon cross-section for high-energy DM of $\sim$ PeV, up-scattered by the high-energy cosmic rays. We derive for the first time strong constraints on the DM-nucleon cross-section down to $\sim 10^{-32}$ cm$^2$ at this energy scale for sub-GeV DM candidates. Such independent probe at energy scale far exceeding other existing direct detection experiments can therefore provide useful insights complementary to other searches.
On the possible virtual state nature of the LHCb Pc (4312)+ signal

In this contribution we study the nature of the new Pc (4312)+ signal reported by LHCb collaboration in the J/ψ p spectrum. We use S-matrix principles to perform a minimum-bias analysis of the data, focusing on the analytic properties that can be related to the microscopic origin of the Pc (4312)+ peak. Using the scattering length approximation we find evidence for interpretation of the signal as a virtual state generated by the attractive effect of the Σc+D¯0 channel opening.