Miracle-dz/UniFAR-FTUs huggingface dataset:
Automatic scenario generation for efficient solution of robust optimal control problems

Existing methods for nonlinear robust control often use scenario‐based approaches to formulate the control problem as large nonlinear optimization problems. The optimization problems are challenging to solve due to their size, especially if the control problems include time‐varying uncertainty. This paper draws from local reduction methods used in semi‐infinite optimization to solve robust optimal control problems with parametric and time‐varying uncertainty. By iteratively adding interim worst‐case scenarios to the problem, methods based on local reduction provide a way to manage the total number of scenarios. We show that the local reduction method for optimal control problems consists of solving a series of simplified optimal control problems to find worst‐case constraint violations. In particular, we present examples where local reduction methods find worst‐case scenarios that are not on the boundary of the uncertainty set. We also provide bounds on the error if local solvers are used. The proposed approach is illustrated with two case studies with parametric and additive time‐varying uncertainty. In the first case study, the number of scenarios obtained from local reduction is 101, smaller than in the case when all 214+3×192$$ {2}^{14+3\times 192} $$ extreme scenarios are considered. In the second case study, the number of scenarios obtained from the local reduction is two compared to 512 extreme scenarios. Our approach was able to satisfy the constraints both for parametric uncertainty and time‐varying disturbances, whereas approaches from literature either violated the constraints or became computationally expensive.
Thermal conductivity in one-dimensional nonlinear disordered lattices: Two kinds of scattering effects of hard-type and soft-type anharmonicities

The amorphous solids can be theoretically modeled by anharmonic disordered lattices. However, most of theoretical studies on thermal conductivity in anharmonic disordered lattices only focus on the potentials of hard-type (HT) anharmonicity. Here we study the thermal conductivity $\kappa$ of one-dimensional (1D) disordered lattices with both hard- and soft-type (ST) anharmonic on-site potentials. It is found, via both direct molecular dynamic simulations and theoretical method, that the anharmonicity dependence of $\kappa$ in the HT model is nonmonotonous, while in the ST model is monotonously increased. This provides a new way to enhance thermal conductivity in disordered systems. Furthermore, $\kappa$ of the HT model is consistent with the prediction of the quasi-harmonic Green-Kubo (QHGK) method in a wide range of anharmonicity, while for the ST model, the numerical results seem largely deviated from the theoretical predictions as the anharmonicity becomes soft. This new and peculiar feature of the ST model may root in the fact that only delocalization effect exists, different from the competing roles that both delocalization and localization play in the counterpart HT model.
Optimizing the acquisition parameters of a newly developed digital breast tomosynthesis system

The purpose of this study was to investigate the effect of different acquisition parameters and to characterize their relationships in order to improve the detection of microcalcifications using digital breast tomosynthesis (DBT). DBT imaging parameters were optimized using 32 different acquisition sets with six angular ranges (±5°, ±10°, ±13°, ±17°, ±21°, and ±25°) and eight projection views (5, 11, 15, 21, 25, 31, 41, and 51 projections). To investigate the effects of variable angular dose distribution, the acquisition sets were evaluated with delivering more dose toward the central views. Our results show that a wide angular range improved the reconstructed image quality in the z-direction. If a large number of projections are acquired, then electronic noise may dominate the contrast-to-noise ratio (CNR) due to reduced radiation dose per projection. With delivering more dose toward the central views, it was found that the vertical resolution was reduced with increasing dose in the central PVs. On the other hand, the CNR clearly increased with increasing concentration of dose distribution in central views. Although it was found that increasing angular range improved the vertical resolution, it was also found that the image quality of microcalcifications in the in-focus plane did not improve by increasing the noise due to greater effective breast thickness. Angular dose distributions, with more dose delivered to the central views, generally yielded a higher quality factor (QF) than uniform dose distributions.
Progressive Frame Patching for FoV-based Point Cloud Video Streaming

Many XR applications require the delivery of volumetric video to users with six degrees of freedom (6-DoF) movements. Point Cloud has become a popular volumetric video format. A dense point cloud consumes much higher bandwidth than a 2D/360 degree video frame. User Field of View (FoV) is more dynamic with 6-DoF movement than 3-DoF movement. To save bandwidth, FoV-adaptive streaming predicts a user's FoV and only downloads point cloud data falling in the predicted FoV. However, it is vulnerable to FoV prediction errors, which can be significant when a long buffer is utilized for smoothed streaming. In this work, we propose a multi-round progressive refinement framework for point cloud video streaming. Instead of sequentially downloading point cloud frames, our solution simultaneously downloads/patches multiple frames falling into a sliding time-window, leveraging the inherent scalability of octree-based point-cloud coding. The optimal rate allocation among all tiles of active frames are solved analytically using the heterogeneous tile rate-quality functions calibrated by the predicted user FoV. Multi-frame downloading/patching simultaneously takes advantage of the streaming smoothness resulting from long buffer and the FoV prediction accuracy at short buffer length. We evaluate our streaming solution using simulations driven by real point cloud videos, real bandwidth traces, and 6-DoF FoV traces of real users. Our solution is robust against the bandwidth/FoV prediction errors, and can deliver high and smooth view quality in the face of bandwidth variations and dynamic user and point cloud movements.
Rules of Engagement: Why and How Companies Participate in OSS

Company engagement in open source (OSS) is now the new norm. From large technology companies to startups, companies are participating in the OSS ecosystem by open-sourcing their technology, sponsoring projects through funding or paid developer time. However, our understanding of the OSS ecosystem is rooted in the “old world” model where individual contributors sustain OSS projects. In this work, we create a more comprehensive understanding of the hybrid OSS landscape by investigating what motivates companies to contribute and how they contribute to OSS. We conducted interviews with 20 participants who have different roles (e.g., CEO, OSPO Lead, Ecosystem Strategist) at 17 different companies of different sizes from large companies (e.g. Microsoft, RedHat, Google, Spotify) to startups. Data from semi-structured interviews reveal that company motivations can be categorized into four levels (Founders' Vision, Reputation, Business Advantage, and Reciprocity) and companies participate through different mechanisms (e.g., Developers' Time, Mentoring Time, Advocacy & Promotion Time), each of which tie to the different types of motivations. We hope our findings nudge more companies to participate in the OSS ecosystem, helping make it robust, diverse, and sustainable.
Dispersion dependence of the optical anisotropy and the degree of depolarization of fibrous tissues

This paper presents the results of studies of the optical characteristics of fibrous tissues. It is shown that the macroscopic anisotropy of the refractive indices in fibrous biological tissues has an anomalous character of the frequency dependence far from the absorption bands, and an explanation is proposed for this effect. Moreover, it is shown in this paper that the dispersion dependence of the degree of depolarization of radiation transmitted through biological tissue is well approximated by a power function with an exponent equal to −4.
A Three-Dimensional Numerical Study of an Oklahoma Squall Line Containing Right-Flank Supercells

Abstract A nonhydrostatic numerical mesoscale model has been applied to the study of an Oklahoma squall line with initial conditions taken from the Oklahoma–Kansas Preliminary Regional Experiment for STORM-Central (PRE-STORM) data for 7 May 1985. The model reproduced features typical of organized propagating convection occurring during spring and summer in this region, namely a squall line/mesoscale convective system containing strong right-flank convection resembling many documented cases. The alignment and motion of the system change during its development and are determined by the ambient wind at three levels, the steering level of the mature cells, the level of free convection, and the surface layer. Three persistent right-flank cells had a characteristic rightward propagation relative to the mean wind shear vector. Their propagation occurred through successive mergers of cells that had formed at a downdraft outflow convergence front and were similar to the flanking line often seen to the south of str.
Analysing the context and characteristics of legal abortion and comprehensive post-abortion care among adolescents aged 10–14 in a network of sentinel centres in Latin America: a retrospective cross-sectional study, 2016–2020

Abstract Pregnancy-related complications are a substantial source of morbidity and mortality among adolescents in low- and middle-income countries. While the youngest adolescents (those aged 10–14) are considered to be at particularly high risk of adverse outcomes, there is little empirical data available on their sexual and reproductive health. Using a unique dataset of clinical records drawn from a regional network of sentinel centres providing legal abortion and comprehensive post-abortion care in 12 Latin American and Caribbean countries, we described the population of adolescents aged 10–14 seeking legal abortion and post-abortion care and calculated institutional rates of complications, using older adolescents (aged 15–19) and young adults (aged 20–24) as comparator groups. We also assessed the quality of care provided as compared to WHO recommendations. Nearly 17% (89 out of 533) of young adolescents sought care when they were already at 15 or more weeks’ gestation. Young adolescents were at higher risk of pre-procedure and intra-operative complications than older adolescents and young adults, though the trend is less clear for the most severe complications. In general, the quality of care provided by centres in the network was aligned with WHO recommendations for safe abortion and comprehensive post-abortion care. Taken together, these findings provide insight into the challenges facing the global health community in assuring the sexual and reproductive health and rights of the youngest adolescents, and outline avenues for future research, advocacy, and evidence-based policymaking.
Adaptive backstepping control for a class of strict feedback nonlinear systems using radial basis neural network

Addresses the problem of designing robust output tracking control for strict-feedback nonlinear systems with unknown nonlinear functions and unknown virtual coefficient nonlinear functions using radial basis neural networks. By defining desired control, a smooth and singularity-free adaptive controller is firstly designed for a first-order plant. Then, an extension is made to high-order nonlinear systems using neural network approximation, adaptive backstepping techniques and robust control. No upper bounds of unknown virtual coefficient functions are required. The effects of approximation error and unknown upper bounds of virtual coefficient functions are counteracted by adaptive robust terms. It is shown that under the proposed adaptive control the tracking error of the controlled system converges to a small neighborhood around zero. Simulation examples are given to illustrate the effectiveness of the proposed scheme.
Partisanship and anti-elite worldviews as correlates of science and health beliefs in the multi-party system of Spain

In a national sample of 5087 Spaniards, we examine the prevalence of 10 specific misperceptions over five separate science and health domains (climate change, 5G technology, genetically modified foods, vaccines, and homeopathy). We find that misperceptions about genetically modified foods and general health risks of 5G technology are particularly widespread. While we find that partisan affiliation is not strongly associated with any of the misperceptions aside from climate change, we find that two distinct dimensions of an anti-elite worldview—anti-expert and conspiratorial mindsets—are better overall predictors of having science and health misperceptions in the Spanish context. These findings help extend our understanding of polarization around science beyond the most common contexts (e.g. the United States) and support recent work suggesting anti-elite sentiments are among the most important predictors of factual misperceptions.
Research on the Phase Aberration Correction with a Deformable Mirror Controlled by a Genetic Algorithm

In order to improve laser beam quality, a real number encoding genetic algorithm based on adaptive optics technology was presented. This algorithm was applied to control a 19-channel deformable mirror to correct phase aberration in laser beam. It is known that when traditional adaptive optics system is used to correct laser beam wave-front phase aberration, a precondition is to measure the phase aberration information in the laser beam. However, using genetic algorithms, there is no necessary to know the phase aberration information in the laser beam beforehand. The only parameter need to know is the Light intensity behind the pinhole on the focal plane. This parameter was used as the fitness function for the genetic algorithm. Simulation results show that the optimal shape of the 19-channel deformable mirror applied to correct the phase aberration can be ascertained. The peak light intensity was improved by a factor of 21, and the encircled energy strehl ratio was increased to 0.34 from 0.02 as the phase aberration was corrected with this technique.
Long Memory Processes ( 1 / f α Type) in Human Coordination

The wide occurrence of 1yf a type of long memory (long range correlated) processes in electrical systems and in solid state devices has long posed a challenging problem for physics [1]. A number of mechanisms, ranging from the superposition of many independent relaxation processes [2] to self-organized criticality [3], are proffered to explain this phenomenon. In this Letter we report the manifestation of long memory processes in a human sensorimotor coordination experiment in which a subject synchronizes his finger tapping with an external periodic stimulus. Using an array of diagnostic tools including rescaled range analysis and the spectral maximum likelihood estimator, we show that the error time series, defined as the time between a predetermined point in the tapping cycle and the onset of the stimulus, exhibits long memory of 1yf a type, and can be modeled as fractional Gaussian noise [4]. The average value of a is found to be about 0.5. This result adds the present human sensorimotor coordination system to a growing list of biological examples in which one observes long range correlated random fluctuations [5‐ 7]. In addition, we report our attempt at modeling the experimental findings using stochastic delay differential equations. Our motivation is to present a unifying mechanism for a diverse set of long memory processes, observed under a variety of sensorimotor conditions [7], by incorporating both the inevitable occurrence of noise (white) in the nervous system and delay feedback networks involved in controlling the motor output. Experiment and data collection. —Five right-handed male subjects ranging in age from 25 to 35 took part in the synchronization experiment. Seated in a sound attenuated chamber, each subject was instructed to cyclically press his index finger against a computer key in synchrony with a periodic series of auditory beeps, delivered through a headphone. Two frequency conditions, F1 › 2 Hz (T1 › 500 ms) and F2 › 1.25 Hz (T2 › 800 ms), were studied. These frequencies were chosen such that the subject was able to perform the required tapping motion continuously
Outsmarting Pathogens with Antibody Engineering.

There is growing interest in identifying antibodies that protect against infectious diseases, especially for high-risk individuals and pathogens for which no vaccine is yet available. However, pathogens that manifest as opportunistic or latent infections express complex arrays of virulence-associated proteins and are adept at avoiding immune responses. Some pathogens have developed strategies to selectively destroy antibodies, whereas others create decoy epitopes that trick the host immune system into generating antibodies that are at best nonprotective and at worst enhance pathogenesis. Antibody engineering strategies can thwart these efforts by accessing conserved neutralizing epitopes, generating Fc domains that resist capture or degradation and even accessing pathogens hidden inside cells. Design of pathogen-resistant antibodies can enhance protection and guide development of vaccine immunogens against these complex pathogens. Here, we discuss general strategies for design of antibodies resistant to specific pathogen defense mechanisms. Expected final online publication date for the Annual Review of Chemical and Biomolecular Engineering, Volume 14 is June 2023. Please see http://www.annualreviews. org/page/journal/pubdates for revised estimates.
Astrocytic circadian clock control of energy expenditure by transcriptional stress responses in the ventromedial hypothalamus

Hypothalamic circuits compute systemic information to control metabolism. Astrocytes residing within the hypothalamus directly sense nutrients and hormones, integrating metabolic information, and modulating neuronal responses. Nevertheless, the role of the astrocytic circadian clock on the control of energy balance remains unclear. We used mice with a targeted ablation of the core‐clock gene Bmal1 within Gfap‐expressing astrocytes to gain insight on the role played by this transcription factor in astrocytes. While this mutation does not substantially affect the phenotype in mice fed normo‐caloric diet, under high‐fat diet we unmasked a thermogenic phenotype consisting of increased energy expenditure, and catabolism in brown adipose and overall metabolic improvement consisting of better glycemia control, and body composition. Transcriptomic analysis in the ventromedial hypothalamus revealed an enhanced response to moderate cellular stress, including ER‐stress response, unfolded protein response and autophagy. We identified Xbp1 and Atf1 as two key transcription factors enhancing cellular stress responses. Therefore, we unveiled a previously unknown role of the astrocytic circadian clock modulating energy balance through the regulation of cellular stress responses within the VMH.
Synthesis Of Trusses Using The MINLPOptimization Approach

This paper presents the synthesis of trusses using Mixed-Integer Non-Linear Programming (MINLP). The discrete/continuous non-convex and non-linear optimization problems are solved by the Modified OA/ER algorithm. The Hiearchical superelement approach (HSA) is introduced for the discrete topology optimization of trusses in order to reduce the number of topology alternatives. For the solution of truss synthesis problems, which include a high number of discrete/binary variables, we applied multilevel MINLP strategies. The Sequential Two-Phase (STP) strategy was developed for topology, shape and standard dimension optimization of trusses. A numerical example at the end of the paper shows the suitability of the proposed approach.
Measuring the Evolution of Complex Indicators Theory and Application to the Poverty Rate in France

This paper addresses the issue of measuring and testing evolutions of complex indicators inthe framework of survey sampling. This involves the computation of variances of complex statistics,but also of covariances. Indeed, rotating designs may bring important positive correlationsbetween indicators. These correlations are often neglected in testing temporal stability, leading toconclusions deemed to be too conservative. We obtain variances and covariances by adapting thefunctional delta method to survey sampling. The theory is then applied to the evolution of thepoverty rate in France.
An investigation of the etiology and follow‐up findings in 35 children with overgrowth syndromes, including biallelic SUZ12 variant

Overgrowth‐intellectual disability (OGID) syndromes are clinically and genetically heterogeneous group of disorders. The aim of this study was to examine the molecular etiology and long‐term follow‐up findings of Turkish OGID cohort. Thirty‐five children with OGID were included in the study. Single gene sequencing, clinical exome analysis, chromosomal microarray analysis and whole exome sequencing were performed. Five pathogenic copy number variants were detected in the patients; three of them located on chromosome 5q35.2 (encompassing NSD1), others on 9q22.3 and 22q13.31. In 19 of 35 patients; we identified pathogenic variants in OGID genes associated with epigenetic regulation, NSD1 (n = 15), HIST1H1E (n = 1), SETD1B (n = 1), and SUZ12 (n = 2). The pathogenic variants in PIK3CA (n = 2), ABCC9 (n = 1), GPC4 (n = 2), FIBP (n = 1), and TMEM94 (n = 1) which had a role in other growth pathways were detected in seven patients. The diagnostic yield was 31/35(88%). Twelve pathogenic variants were novel. The common facial feature of the patients was prominent forehead. The patients with Sotos syndrome were observed to have milder intellectual disability than patients with other OGID syndromes. In conclusion, this study showed, for the first time, that biallelic variants of SUZ12 caused Imagawa‐Matsumoto syndrome, monoallelic variants in SETDIB resulted in OGID. Besides expanded the phenotypes of very rare OGID syndromes caused by FIBP and TMEM94.
Giant magneto-impedance effect in layered thin films

Giant Magneto-Impedance (GMI) of films with a layered structure has been studied. They are Co-Si-B/Cu/Co-Si-B, Co-Si-B/Ag/Co-Si-B, and Fe-Co-Si-B/Cu/Fe-Co-Si-B with a magnetic closed-loop structure. They also have a certain magnetic configuration, for which the uniaxial anisotropy is perpendicular to both the driving current and the external field. Consequently, both reactance X and resistance R of the films change remarkably due to the external field in the frequency range from 100 kHz to 10 MHz, at which the GMI effect hardly appears in the single layer films of the same thickness. The conductivity difference between the outer and inner layers is important in order to achieve a high impedance change ratio in this frequency range. As a result, the ratios /spl Delta/Z/|Z/sub 0/|=(Z/sub maximum/-Z/sub [Hext=0]/)/Z/sub [Hext=0]/ of Co-Si-B/Ag/Co-Si-B films are 440% for a field of 9 Oe at 10 MHz, and the average sensitivity is 49%/Oe. Furthermore, /spl Delta/Z/|Z/sub 0/| of Co-Si-B/Cu/Co-Si-B and Co-Si-B/Ag/Co-Si-B films at 1 MHz is as much as 140%, and the average sensitivity reaches 15%/Oe. The sensitivity at 1 MHz is higher than that of single-layer magneto-impedance films of the same thickness by three orders of magnitude.