Miracle-dz/UniFAR-FTUs huggingface dataset:
Improving Text-to-Image Consistency via Automatic Prompt Optimization

Impressive advances in text-to-image (T2I) generative models have yielded a plethora of high performing models which are able to generate aesthetically appealing, photorealistic images. Despite the progress, these models still struggle to produce images that are consistent with the input prompt, oftentimes failing to capture object quantities, relations and attributes properly. Existing solutions to improve prompt-image consistency suffer from the following challenges: (1) they oftentimes require model fine-tuning, (2) they only focus on nearby prompt samples, and (3) they are affected by unfavorable trade-offs among image quality, representation diversity, and prompt-image consistency. In this paper, we address these challenges and introduce a T2I optimization-by-prompting framework, OPT2I, which leverages a large language model (LLM) to improve prompt-image consistency in T2I models. Our framework starts from a user prompt and iteratively generates revised prompts with the goal of maximizing a consistency score. Our extensive validation on two datasets, MSCOCO and PartiPrompts, shows that OPT2I can boost the initial consistency score by up to 24.9% in terms of DSG score while preserving the FID and increasing the recall between generated and real data. Our work paves the way toward building more reliable and robust T2I systems by harnessing the power of LLMs.
Occult pancreaticobiliary reflux in gallbladder cancer and benign gallbladder diseases

It was proposed that occult pancreaticobiliary reflux (OPBR) was associated with precancerous mucosal changes in the gallbladder, hence the importance of this disorder. There are no published reports investigating the incidence of OPBR in patients operated on for the entire spectrum of benign gallbladder diseases and gallbladder cancer. Our aim was to determine the incidence of OPBR and measure the levels of active pancreatic enzymes (amylase and lipase) in gallbladder bile of patients undergoing cholecystectomy for benign and malignant gallbladder diseases.
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2

We propose a new approach for non-Cartesian magnetic resonance image reconstruction. While unrolled architectures provide robustness via data-consistency layers, embedding measurement operators in Deep Neural Network (DNN) can become impractical at large scale. Alternative Plug-and-Play (PnP) approaches, where the denoising DNNs are blind to the measurement setting, are not affected by this limitation and have also proven effective, but their highly iterative nature also affects scalability. To address this scalability challenge, we leverage the"Residual-to-Residual DNN series for high-Dynamic range imaging (R2D2)"approach recently introduced in astronomical imaging. R2D2's reconstruction is formed as a series of residual images, iteratively estimated as outputs of DNNs taking the previous iteration's image estimate and associated data residual as inputs. The method can be interpreted as a learned version of the Matching Pursuit algorithm. We demonstrate R2D2 in simulation, considering radial k-space sampling acquisition sequences. Our preliminary results suggest that R2D2 achieves: (i) suboptimal performance compared to its unrolled incarnation R2D2-Net, which is however non-scalable due to the necessary embedding of NUFFT-based data-consistency layers; (ii) superior reconstruction quality to a scalable version of R2D2-Net embedding an FFT-based approximation for data consistency; (iii) superior reconstruction quality to PnP, while only requiring few iterations.
Hearing threshold measurements of infrasound combined with audio frequency sound

Within the framework of the European project EMPIR 15HLT03 "Ears II" this study aims at a better understanding of the human response to infrasound. The purpose of this study is to examine which role the combination of infrasound (< 20 Hz) and sound in the audio frequency range (between 20 Hz and 20 kHz) plays for the perception of infrasound. One hypothesis to be validated is that the interaction between infrasound and audio-frequency sound may explain the perceptibility of infrasound. Another aim is to investigate whether the presence of infrasound influences the hearing threshold of audio frequency sound. In order to test these hypotheses detection threshold measurements were performed separately for infrasound and audio-frequency sound stimuli. Then thresholds were measured for infrasound stimuli in the presence of audio-frequency sound and for audio-frequency sound stimuli in the presence of infrasound. The measurement setup consisted of an infrasound source and an audio-frequency sound source, each coupled by a sound tube to the same eartip that was used for monaural presentation of the acoustic stimuli.
One Point Isometric Matching with the Heat Kernel

A common operation in many geometry processing algorithms consists of finding correspondences between pairs of shapes by finding structure‐preserving maps between them. A particularly useful case of such maps is isometries, which preserve geodesic distances between points on each shape. Although several algorithms have been proposed to find approximately isometric maps between a pair of shapes, the structure of the space of isometries is not well understood. In this paper, we show that under mild genericity conditions, a single correspondence can be used to recover an isometry defined on entire shapes, and thus the space of all isometries can be parameterized by one correspondence between a pair of points. Perhaps surprisingly, this result is general, and does not depend on the dimensionality or the genus, and is valid for compact manifolds in any dimension. Moreover, we show that both the initial correspondence and the isometry can be recovered efficiently in practice. This allows us to devise an algorithm to find intrinsic symmetries of shapes, match shapes undergoing isometric deformations, as well as match partial and incomplete models efficiently.
Enhancing Privacy in Federated Learning through Local Training

In this paper we propose the federated private local training algorithm (Fed-PLT) for federated learning, to overcome the challenges of (i) expensive communications and (ii) privacy preservation. We address (i) by allowing for both partial participation and local training, which significantly reduce the number of communication rounds between the central coordinator and computing agents. The algorithm matches the state of the art in the sense that the use of local training demonstrably does not impact accuracy. Additionally, agents have the flexibility to choose from various local training solvers, such as (stochastic) gradient descent and accelerated gradient descent. Further, we investigate how employing local training can enhance privacy, addressing point (ii). In particular, we derive differential privacy bounds and highlight their dependence on the number of local training epochs. We assess the effectiveness of the proposed algorithm by comparing it to alternative techniques, considering both theoretical analysis and numerical results from a classification task.
Spatio-temporal Variations in on-road CO 2 Emissions in the Los Angeles Megacity

We quantify hourly on-road fossil fuel carbon dioxide (FFCO 2 ) emissions at the road segment level for the Los Angeles (LA) megacity based on observed traffic data, and characterize emission patterns across space and time. This on-road FFCO 2 emissions dataset for LA (from Hestia version 1.0), based on actual traffic volume, provides emissions per vehicle kilometer travelled (VKT)—an important metric for greenhouse gas (GHG) reductions. We further identify emissions hotpots that can help state and local policy makers plan the most effective GHG reduction strategies. On-road vehicle traffic accounts for half of the FFCO 2 emissions in LA, of which 41% is from arterials (intermediate road type). Arterials also have the largest C emissions intensity—FFCO 2 per VKT—possibly from high traffic congestion and fleet composition. Non-interstate emissions hotspots (> 419 tC lane-km -1 ) are equally dominated by arterials and collectors (the lowest road type) in terms of FFCO 2 emissions though collectors have a higher VKT. These hotspots occur in densely populated areas and developed landuse classes, largely in LA (67%) and Orange (18%) counties, and provide specific targets for emissions reduction efforts. The estimated uncertainties for interstate, arterial and collector emissions per road length are ± 2.1, ± 0.5 and ± 18.0%, respectively. Our overall estimates compare reasonably well with other products, DARTE and FIVE but with substantial differences in spatial distribution. The method for developing this dataset is easily replicable in other urban landscapes, and represents a powerful tool for carbon cycle science and regional policy makers.
Characterization of the interaction of acetylated LDL and oxidatively modified LDL with human liver parenchymal and Kupffer cells in culture.

The interaction of acetylated low density lipoprotein (Ac-LDL) and oxidatively modified low density lipoprotein (Ox-LDL) with cultured human liver parenchymal cells and human Kupffer cells was investigated to define, for humans, the presence of scavenger receptors in the liver. A direct comparison of the capacity of Kupffer and parenchymal cells to interact with Ac-LDL and Ox-LDL indicated that the capacity of Kupffer cells per milligram of cell protein to degrade Ac-LDL and Ox-LDL is 14-fold and sixfold higher, respectively, than that of parenchymal cells. The degradation of both Ac-LDL and Ox-LDL by parenchymal cells and Kupffer cells could be inhibited by chloroquine and ammonium chloride, indicating that degradation occurs in the lysosomes. Competition studies showed that unlabeled Ox-LDL competed efficiently with the cell association and degradation of 125I-labeled Ac-LDL by human parenchymal cells and human Kupffer cells. However, unlabeled Ac-LDL did not compete (parenchymal cells) or only partially competed (40% in Kupffer cells) with the cell association and degradation of 125I-labeled Ox-LDL. Polyinosinic acid completely blocked the cell association and degradation of Ac-LDL and Ox-LDL with Kupffer cells while no significant effect on parenchymal cells was noted. It is concluded that human liver parenchymal cells contain a scavenger receptor that interacts with Ac-LDL and Ox-LDL and an additional recognition site that recognizes Ox-LDL specifically. (ABSTRACT TRUNCATED AT 250 WORDS)
Hashcash - A Denial of Service Counter-Measure

Hashcash was originally proposed as a mechanism to throttle systematic abuse of un-metered internet resources such as email, and anonymous remailers in May 1997. Five years on, this paper captures in one place the various applications, improvements suggested and related subsequent publications, and describes initial experience from experiments using hashcash. The hashcash CPU cost-function computes a token which can be used as a proof-of-work. Interactive and noninteractive variants of cost-functions can be constructed which can be used in situations where the server can issue a challenge (connection oriented interactive protocol), and where it can not (where the communication is store–and– forward, or packet oriented) respectively.
Charting the Lower Superior Temporal Region, a New Motion-Sensitive Region in Monkey Superior Temporal Sulcus

Although the role of the middle temporal (MT/V5) area and its medial superior temporal (MST) satellites in motion processing has been well explored, relatively little is known about motion regions located more rostrally in the superior temporal sulcus (STS), such as the fundus of the superior temporal (FST) area, the superior temporal polysensory (STP) region, or beyond. To fill this void, we used contrast-enhanced functional magnetic resonance imaging in awake macaques and a five-step testing procedure that allowed us to identify six motion-sensitive regions within the STS. Direction adaptation tests confirmed the motion sensitivity of these six regions. Five of them [MT/V5, its three satellites, and the middle part of the STP (STPm) region in the upper bank of the STS] have been documented by previous single-cell studies. A sixth, previously unknown motion-responsive region, which we termed the lower superior temporal (LST) region, was observed on the lower bank and fundus of the STS, 6–8 mm anterior to the FST area. In contrast to the MST areas, the LST region responds to slow as well as fast speeds and is responsive to static and moving images of objects, to patterns defined by opponent motion, and to actions. These results, obtained in both group and single-subject analyses, suggest that motion information in the STS might follow a second path, in addition to the MT/V5–MST path. This ventral path including the LST region, FST area, and STPm region is likely involved in the visual analysis of actions and biological motion.
High adherence to a neuromuscular injury prevention programme (FIFA 11+) improves functional balance and reduces injury risk in Canadian youth female football players: a cluster randomised trial

Background A protective effect on injury risk in youth sports through neuromuscular warm-up training routines has consistently been demonstrated. However, there is a paucity of information regarding the quantity and quality of coach-led injury prevention programmes and its impact on the physical performance of players. Objective The aim of this cluster-randomised controlled trial was to assess whether different delivery methods of an injury prevention programme (FIFA 11+) to coaches could improve player performance, and to examine the effect of player adherence on performance and injury risk. Method During the 2011 football season (May–August), coaches of 31 tiers 1–3 level teams were introduced to the 11+ through either an unsupervised website or a coach-focused workshop with and without additional on-field supervisions. Playing exposure, adherence to the 11+, and injuries were recorded for female 13-year-old to 18-year-old players. Performance testing included the Star Excursion Balance Test (SEBT), single-leg balance, triple hop and jumping-over-a-bar tests. Results Complete preseason and postseason performance tests were available for 226 players (66.5%). Compared to the unsupervised group, single-leg balance (OR=2.8; 95% CI 1.1 to 4.6) and the anterior direction of the SEBT improved significantly in the onfield supervised group of players (OR=4.7; 95% CI 2.2 to 7.1), while 2-leg jumping performance decreased (OR=−5.1; 95% CI −9.9 to −0.2). However, significant improvements in 5 of 6 reach distances in the SEBT were found, favouring players who highly adhered to the 11+. Also, injury risk was lower for those players (injury rate ratio, IRR=0.28, 95% CI 0.10 to 0.79). Conclusions Different delivery methods of the FIFA 11+ to coaches influenced players’ physical performance minimally. However, high player adherence to the 11+ resulted in significant improvements in functional balance and reduced injury risk.
Influence of the crystal orientation on the operation of junctionless nanowire transistors

This work presents, for the first time, an analysis of the influence of the crystal orientation on the electrical performance of Junctionless Nanowire Transistors. Experimental results demonstrate that the device rotation from the standard <;110> to the <;100> direction over a (100) SOI wafer can significantly degrade the performance of the transistors.
Temporal-Spatial Processing of Event Camera Data via Delay-Loop Reservoir Neural Network

This paper describes a temporal-spatial model for video processing with special applications to processing event camera videos. We propose to study a conjecture motivated by our previous study of video processing with delay loop reservoir (DLR) neural network, which we call Temporal-Spatial Conjecture (TSC). The TSC postulates that there is significant information content carried in the temporal representation of a video signal and that machine learning algorithms would benefit from separate optimization of the spatial and temporal components for intelligent processing. To verify or refute the TSC, we propose a Visual Markov Model (VMM) which decompose the video into spatial and temporal components and estimate the mutual information (MI) of these components. Since computation of video mutual information is complex and time consuming, we use a Mutual Information Neural Network to estimate the bounds of the mutual information. Our result shows that the temporal component carries significant MI compared to that of the spatial component. This finding has often been overlooked in neural network literature. In this paper, we will exploit this new finding to guide our design of a delay-loop reservoir neural network for event camera classification, which results in a 18% improvement on classification accuracy.
Certain nonlinear partially observable stochastic optimal control problems with explicit control laws equivalent to LEQG/LQG problems

This paper is concerned with partially observed stochastic optimal control problems when nonlinearities enter the dynamics of the unobservable state and the observations as gradients of potential functions. Explicit representations for the information state are derived in terms of a finite number of sufficient statistics. Consequently, the partially observed problem is recast as one of complete information with a new state generated by a modified version of the Kalman filter. When the terminal cost is quadratic in the unobservable state and includes the integral of the nonlinearities, the optimal control laws are explicitly computed, similar to linear-exponential-quadratic-Gaussian (LEQG) and linear-quadratic-Gaussian (LQG) tracking problems. The results are applicable to filtering and control of Hamiltonian systems.
Mechanisms responsible for defective human T-lymphocyte sheep erythrocyte rosette function associated with hepatitis B virus infections.

The expression of selected lymphocyte surface-membrane markers was evaluated in 37 patients with acute viral hepatitis B, 10 of whom were studied serially through the resolving and convalescent phases of disease. Bone marrow-derived (B) lymphocytes were identified by reference to surface immunoglobulin, whereas normal thymus-derived (T) lymphocytes were assayed by their capacity to form spontaneous nonimmune rosettes with sheep erythrocytes (E rosettes, ER). During the acute and resolving phases of viral hepatitis B, the relative and absolute number of ER-positive lymphocytes was significantly reduced, whereas the number of surface immunoglobulin-positive lymphocytes and the absolute lymphocyte count remained normal. This resulted in the appearance of a third population of cells, deficient in respect to both surface immunoglobulin and ER markers. Such cells accounted for nearly 25% of peripheral blood lymphocytes, approximately 5 x 105ml blood. Depression of the number of ER-positive lymphocytes occurred at least once during the course of disease in every patient studied serially, and was observed in 55 of 67 individual assays of the 37 cases of acute viral hepatitis B. Lymphocytes from some patients reacquired ER function when cultured in fetal calf serum but not in the presence of autologous serum. Such autologous serum was capable of suppressing ER function of lymphocytes from normal donors. The extrinsic suppression of er function by a serum factor (designated as the Rosette Inhibitory Factor), was found to be time dependent, characterized by a 4-h latent period and requiring approximately 18 h for maximum attenuation of ER function. The Serum Rosette Inhibitory Factor was: (a) heat and freeze-thaw stable, (b) nondialyzable, (c) physically separable from hepatitis B surface antigen, (d) not a lymphocytotoxic antibody, and (e) had the buoyant density of a lipoprotein. This extrinsic mechanism was observed in 41.8% of patients with reduced numbers of ER-positive lymphocytes. The Rosette Inhibitory Factor was not detectable in the serum of the remaining 58.2% of the cases of acute and resolving viral hepatitis B despite the presence of reduced numbers of ER-positive lymphocytes. The lymphocytes from these cases did not reacquire ER function when cultured in the absence of autologous serum. The mechanisms responsible for the suppression of normal ER function in these cases appears to be intrinsic to the lymphocytes and not the result of a humoral factor. The T lymphocyte lineage of cells deficient in respect to ER function, whether of intrinsic or extrinsic type, was demonstrated by their capacity to form spontaneous rosettes with neuraminidase-treated sheep erythrocytes. Both intrinsic and extrinsic suppression of T lymphocyte ER function commonly occurred during the first 4 wk of acute viral hepatitis B.9 of the 10 patients followed serially continued to manifest defective ER function at 12 wk.
A sparse texture representation using affine-invariant regions

This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid deformations. At the feature extraction stage, a sparse set of affine-invariant local patches is extracted from the image. This spatial selection process permits the computation of characteristic scale and neighborhood shape for every texture element. The proposed texture representation is evaluated in retrieval and classification tasks using the entire Brodatz database and a collection of photographs of textured surfaces taken from different viewpoints.
Lag Selection in Subset VAR Models with an Application to a U.S. Monetary System

Alternative modeling strategies for specifying subset VAR models are considered. It is shown that under certain conditions a testing procedure based on t-ratios is equivalent to sequentially eliminating lags that lead to the largest improvement in a prespecified model selection criterion. A Monte Carlo study is used to illustrate the properties of different procedures. It is found that the differences between alternative strategies are small. In small samples, the strategies often fail to discover the true model. Nevertheless, using subset strategies results in models with improved forecast precision. To illustrate how these subset strategies can improve results from impulse response analysis, a VAR model is used to analyze the effects of monetary policy shocks for the U.S. economy. While the response patterns from full and subset VARs are qualitatively identical, confidence bands from the unrestricted model are considerably wider. We conclude that subset strategies can be useful modeling tools when forecasting or impulse response analysis is the main objective.