Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing PLM Performance on Labour Market Tasks via Instruction-based Finetuning and Prompt-tuning with Rules

The increased digitization of the labour market has given researchers, educators, and companies the means to analyze and better understand the labour market. However, labour market resources, although available in high volumes, tend to be unstructured, and as such, research towards methodologies for the identification, linking, and extraction of entities becomes more and more important. Against the backdrop of this quest for better labour market representations, resource constraints and the unavailability of large-scale annotated data cause a reliance on human domain experts. We demonstrate the effectiveness of prompt-based tuning of pre-trained language models (PLM) in labour market specific applications. Our results indicate that cost-efficient methods such as PTR and instruction tuning without exemplars can significantly increase the performance of PLMs on downstream labour market applications without introducing additional model layers, manual annotations, and data augmentation.
Gut microbiota fingerprinting as a potential tool for tracing the geographical origin of farmed mussels (Mytilus galloprovincialis)

Identifying the provenance of seafood is critical to combat commercial fraud, enforce food safety regulations and ensure consumers’ confidence. Hence, the current study aimed to determine if the bacterial composition present in the digestive gland and stomach of M. galloprovincialis mussels could be used as traceability approach to discriminate their geographic origin. The microbiota of 160 mussels collected seasonally in 2019 from five different mussel farms located in three regions in Spain (Galicia, Basque Country and Catalonia) was characterized using 16S rRNA targeted amplicon sequencing. Results showed that the bacterial community composition/fingerprint was significantly different between harvesting locations and seasons, with the effect prompted by the origin exceeding the seasonal variability. To further evaluate the stability and potential of this traceability approach, the bacterial fingerprint of 20 new individuals collected from the Basque Country in autumn 2020 were compared to the profiles obtained in 2019. Results showed that mussels collected from the Basque Country in two consecutive years cluster together, even matching the season of harvesting. The findings of this preliminary study support that this methodological approach has the potential to trace the geographical origin of unprocessed mussels and could have potential uses in seafood traceability and food safety.
Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator

In this paper, we introduce a novel approach to fine-grained cross-view geo-localization. Our method aligns a warped ground image with a corresponding GPS-tagged satellite image covering the same area using homography estimation. We first employ a differentiable spherical transform, adhering to geometric principles, to accurately align the perspective of the ground image with the satellite map. This transformation effectively places ground and aerial images in the same view and on the same plane, reducing the task to an image alignment problem. To address challenges such as occlusion, small overlapping range, and seasonal variations, we propose a robust correlation-aware homography estimator to align similar parts of the transformed ground image with the satellite image. Our method achieves sub-pixel resolution and meter-level GPS accuracy by mapping the center point of the transformed ground image to the satellite image using a homography matrix and determining the orientation of the ground camera using a point above the central axis. Operating at a speed of 30 FPS, our method outperforms state-of-the-art techniques, reducing the mean metric localization error by 21.3% and 32.4% in same-area and cross-area generalization tasks on the VIGOR benchmark, respectively, and by 34.4% on the KITTI benchmark in same-area evaluation.
Sins of emission

Air pollution from the burning of wood fuels has become a concern to the wood stove industry and to the EPA. Wood smoke contains a mixture of carbon monoxide, volatile organic gases, and polycyclic organic matter which reduces the air quality and exposes increasing numbers of residential neighborhoods to heavy levels of these hazardous pollutants. Two states and numerous municipalities have developed emission standards for new stoves or have banned wood-burning during certain weather conditions. The EPA plans to propose national emission standards during January 1987 and promulgate final rules by January 1988. Catalytic converters for wood stoves have been tested with good results: reduction of particulate emissions by as much as 86%; increase in thermal efficiency of 20 to 30%; and elimination of 85 to 90% of the creosote accumulation in the flue.
Causal Analysis of First-Year Course Approval Delays in an Engineering Major Through Inference Techniques

The study addresses the problem of delays in the approval of first-year courses in the Civil Engineering Major at the National University of Tucum\'an, Argentina. Students take an average of 5 years to pass these subjects. Using the DoWhy and Causal Discovery Toolbox tools, we looked to identify the underlying causes of these delays. The analysis revealed that the regulatory structure of the program and the evaluation methods play a crucial role in this delay. Specifically, the accumulation of regular subjects without passing a final exam was identified as a key factor. These findings can guide interventions to improve student success rates and the effectiveness of the education system in general.
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting

Since its invention HyperLogLog has become the standard algorithm for approximate distinct counting. Due to its space efficiency and suitability for distributed systems, it is widely used and also implemented in numerous databases. This work presents UltraLogLog, which shares the same practical properties as HyperLogLog. It is commutative, idempotent, mergeable, and has a fast guaranteed constant-time insert operation. At the same time, it requires 28% less space to encode the same amount of distinct count information, which can be extracted using the maximum likelihood method. Alternatively, a simpler and faster estimator is proposed, which still achieves a space reduction of 24%, but at an estimation speed comparable to that of HyperLogLog. In a non-distributed setting where martingale estimation can be used, UltraLogLog is able to reduce space by 17%. Moreover, its smaller entropy and its 8-bit registers lead to better compaction when using standard compression algorithms. All this is verified by experimental results that are in perfect agreement with the theoretical analysis which also outlines potential for even more space-efficient data structures. A production-ready Java implementation of UltraLogLog has been released as part of the open-source Hash4j library.
A $(q,t)$deformation of the 2d Toda integrable hierarchy

A $(q,t)$-deformation of the 2d Toda integrable hierarchy is introduced by enhancing the underlying symmetry algebra $\mathfrak{gl}(\infty)\simeq \text{q-W}_{1+\infty}$ to the quantum toroidal $\mathfrak{gl}(1)$ algebra. The difference-differential equations of the hierarchy are obtained from the expansion of $(q,t)$-bilinear identities, and two equations refining the 2d Toda equation are found in this way. The derivation of the bilinear identities follows from the isomorphism between the Fock representation of level $(2,0)$ of the quantum toroidal $\mathfrak{gl}(1)$ algebra and the tensor product of the q-deformed Virasoro algebra with a $u(1)$ Heisenberg algebra. It leads to identify the $(q,t)$-deformed Casimir with the screening charges of the deformed Virasoro algebra. Due to the non-trivial coproduct, equations of the hierarchy no longer involve a single tau-function, but instead relate a set of different tau functions. We then define the universal refined tau function using the $L$-matrix of the quantum toroidal $\mathfrak{gl}(1)$ algebra and interpret it as the generating function of the deformed tau functions. The equations of the hierarchy, written in terms of the universal refined tau function, combine into two-term quadratic equations similar to the $RLL$ equations.
2024 Update: Advances in the risk stratification and management of large B‐cell lymphoma

Diffuse large B‐cell lymphoma (DLBCL) is a heterogeneous disease with varying clinical outcomes. Our understanding of its molecular makeup continues to improve risk stratification, and artificial‐intelligence and ctDNA‐based analyses have the potential to enhance risk assessment and disease monitoring. R‐CHOP and Pola‐R‐CHP are used in the frontline setting; chimeric antigen receptor therapy (CART) is now the new standard‐of‐care for most with primary refractory disease; both CART and autologous stem cell transplantation are utilized in the relapsed and refractory setting. In this review, we summarize the classification and management of DLBCL with an emphasis on recent advances in the field.
Age-dependent relationships among diet, body condition, and Echinococcus multilocularis infection in urban coyotes

Urban coyotes (Canis latrans) in North America increasingly exhibit a high prevalence of Echinococcus multilocularis, a cestode of recent and rising public health concern that uses rodents as intermediate hosts and canids as definitive hosts. However, little is known about the factors that drive the high urban prevalence of this parasite. We hypothesized that the diet of urban coyotes may contribute to their higher E. multilocularis infection prevalence via either (a) greater exposure to the parasite from increased rodent consumption or (b) increased susceptibility to infection due to the negative health effects of consuming anthropogenic food. We tested these hypotheses by comparing the presence and intensity of E. multilocularis infection to physiological data (age, sex, body condition, and spleen mass), short-term diet (stomach contents), and long-term diet (δ13C and δ15N stable isotopes) in 112 coyote carcasses collected for reasons other than this study from Edmonton, Alberta and the surrounding area. Overall, the best predictor of infection status in this population was young age, where the likelihood of infection decreased with age in rural coyotes but not urban ones. Neither short- nor long-term measures of diet could predict infection across our entire sample, but we found support for our initial hypotheses in young, urban coyotes: both rodent and anthropogenic food consumption effectively predicted E. multilocularis infection in this population. The effects of these predictors were more variable in rural coyotes and older coyotes. We suggest that limiting coyote access to areas in which anthropogenic food and rodent habitat overlap (e.g., compost piles or garbage sites) may effectively reduce the risk of infection, deposition, and transmission of this emerging zoonotic parasite in urban areas.
Optimal Stopping of BSDEs with Constrained Jumps and Related Zero-Sum Games

In this paper, we introduce a non-linear Snell envelope which at each time represents the maximal value that can be achieved by stopping a BSDE with constrained jumps. We establish the existence of the Snell envelope by employing a penalization technique and the primary challenge we encounter is demonstrating the regularity of the limit for the scheme. Additionally, we relate the Snell envelope to a finite horizon, zero-sum stochastic differential game, where one player controls a path-dependent stochastic system by invoking impulses, while the opponent is given the opportunity to stop the game prematurely. Importantly, by developing new techniques within the realm of control randomization, we demonstrate that the value of the game exists and is precisely characterized by our non-linear Snell envelope.
Game semantics for the constructive $\mu$-calculus

We define game semantics for the constructive $\mu$-calculus and prove its equivalence to bi-relational semantics. We use the game semantics to prove that the $\mu$-calculus collapses to modal logic over constructive variants of $\mathsf{S5}$. Finally, we use the collapse to prove the completeness of constructive variants of $\mathsf{S5}$ with fixed-point operators.
A wide complex tachycardia and response to ventricular overdrive pacing: What is the mechanism?

Sixty‐nine‐year‐old woman with a nonischemic cardiomyopathy and ejection fraction 35−40%, s/p biventricular implantable cardioverter‐defibrillator (ICD) implant and prior ventricular tachycardia (VT), on mexiletine was brought to the emergency department (ED) after receiving multiple ICD shocks. The electrocardiogram (ECG) in the field showed a wide complex tachycardia (WCT). Given this, the patient was treated for VT and received intravenous (IV) lidocaine bolus followed by drip, as well as IV amiodarone with subsequent return of sinus rhythm. Nonpaced ECG displayed a left bundle branch block morphology that matched the clinical WCT, suggesting a diagnosis of supraventricular tachycardia (SVT). On ICD interrogation, it was found that the tachycardia had varied cycle length with heart rate ranging from 141 to 190 bpm and received antitachycardia pacing (ATP) followed by shocks. The patient underwent electrophysiology study. Baseline atrio‐ his (AH) and his‐ventricular (HV) intervals were 104 and 56ms, respectively. There was no retrograde ventriculo‐atrial (VA) conduction. An AH jump with atrial extrastimuli was consistent with dual atrioventricular (AV) nodal physiology, and subsequently induced SVT (Figure 1A). The response to ventricular overdrive pacing (VOP) is seen in (Figure 1B). What is the mechanism of tachycardia? 2 | COMMENTARY
An Efficient Framework for Global Non-Convex Polynomial Optimization over the Hypercube

We present a novel efficient theoretical and numerical framework for solving global non-convex polynomial optimization problems. We analytically demonstrate that such problems can be efficiently reformulated using a non-linear objective over a convex set; further, these reformulated problems possess no spurious local minima (i.e., every local minimum is a global minimum). We introduce an algorithm for solving these resulting problems using the augmented Lagrangian and the method of Burer and Monteiro. We show through numerical experiments that polynomial scaling in dimension and degree is achievable for computing the optimal value and location of previously intractable global polynomial optimization problems in high dimension.
Inhibitory Control Predicts Growth in Irregular Word Reading: Evidence From a Large-Scale Longitudinal Study

Irregular words cannot be read correctly by decoding letters into sounds using the most common letter–sound mapping relations. They are difficult to read and learn. Cognitive models of word reading and development as well as empirical data suggest that inhibitory control might be important for irregular word reading and its development. The current study tested this in a U.K. population-based cohort (N = 529, 52.74% male, 90.17% White) in which children were assessed longitudinally at ages 5–6, 7–8, and 10–11 years. Results showed that inhibitory control did not predict concurrent irregular word reading after controlling for the covariates of decoding and vocabulary. However, inhibitory control made a small but significant contribution to growth in irregular word reading across time points, over and above vocabulary (decoding did not predict growth). Therefore, children might need to inhibit the predisposition to overgeneralize the most common relations between letters and sounds when learning to read irregular words.
Myopathy in systemic sclerosis

Purpose of review Systemic sclerosis associated myopathy (SSc-AM) is a complex, heterogenous disease that is associated with poor outcomes. SSc-AM lacks a clear definition, and continues to be poorly recognized. The purpose of this review is to provide a contemporary overview of the clinical, serological and pathophysiologic findings in SSc-AM to guide optimal recognition and management of this challenging disease manifestation. Recent findings There have been several advances in diagnostic techniques to facilitate characterization of SSc-AM, including muscle MRI, in which findings were correlated to distinct histopathologic categories of muscle involvement in SSc, histopathologic findings of prominent fibrosis or inflammation on biopsy, and the identification of novel autoantibodies associated with SSc-AM, which may be associated with distinct clinical phenotypes. In one of the largest studies to date, 17% of a well phenotyped SSc cohort were found to have myopathy, which was an independent risk of death, even after adjusting for potential confounders, further highlighting the importance of timely recognistion and management of SSc-AM. Summary There is increasing recognition of the importance of SSc-AM. Novel diagnostic tools provide the opportunity for more detailed insights into pathophysiologic mechanisms, which may facilitate the development of a rigorous consensus definition of SSc-AM.
О РАЗРЕШИМОСТИ ОБРАТНЫХ ЗАДАЧ ОБ ОПРЕДЕЛЕНИИ ТОЧЕЧНЫХ ИСТОЧНИКОВ

This article is devoted to inverse problems of recovering point sources in mathematical models of heat and mass transfer. The main attention is paid to well-posedness questions of these inverse problems with pointwise overdetermination conditions. We present conditions for existence and uniqueness of solutions to the problem, display non-uniqueness examples, and, in model situations, we give estimates on the number of measurements that allow completely identify sources and their locations. The results rely on asymptotic representations of Green functions of the corresponding elliptic problems with a parameter. They can be used in constructing new numerical algorithms for determining a solution.
A comparison between the FENE-P and sPTT constitutive models in large-amplitude oscillatory shear

Abstract The finitely extensible nonlinear elastic with Peterlin closure (FENE-P) and simplified Phan-Thien–Tanner (sPTT) viscoelastic models are used widely for modelling of complex fluids. Although they are derived from distinct micro-structural theories, these models can become mathematically identical in steady and homogeneous flows with a particular choice of the values of the model parameters. However, even with this choice of parameter values, the model responses are known to differ from each other in transient flows. In this work, we investigate the responses of the FENE-P and sPTT constitutive models in large-amplitude oscillatory shear (LAOS). In steady shear, the shear stress scales with the non-dimensional group $Wi/(aL)$ ($Wi\,\sqrt {\epsilon }$) for the FENE-P (sPTT) model, where $Wi$ is the Weissenberg number, $L^2$ is the limit of extensibility in the FENE-P model ($a$ being $L^2/(L^2-3)$), and $\epsilon$ is the extensibility parameter in the sPTT model. Our numerical and analytical results show that in LAOS, the FENE-P model shows this universality only for large values of $L^2$, whereas the sPTT model shows it for all values of $\epsilon$. In the strongly nonlinear region, there is a drastic difference between the responses of the two models, with the FENE-P model exhibiting strong shear stress overshoots that manifest as self-intersecting secondary loops in the viscous Lissajous curves. We quantify the nonlinearity exhibited by each constitutive model using the sequence of physical processes framework. Despite the high degree of nonlinearity exhibited by the FENE-P model, we also show using fully nonlinear one-dimensional simulations that it does not shear band in LAOS within the range of conditions studied.
African American/Black race, apolipoprotein L1, and serum creatinine among persons with HIV

Objective: Accurate estimation of kidney function is critical among persons with HIV (PWH) to avoid under-dosing of antiretroviral therapies and ensure timely referral for kidney transplantation. Existing estimation equations for kidney function include race, the appropriateness of which has been debated. Given advancements in understanding of race and the necessity of accuracy in kidney function estimation, this study aimed to examine whether race, or genetic factors, improved prediction of serum creatinine among PWH. Design: This cross-sectional study utilized data from the Center for AIDS Research Network of Integrated Clinical Systems cohort (2008–2018). The outcome was baseline serum creatinine. Methods: Ordinary least squares regression was used to examine whether inclusion of race or genetic factors [apolipoprotein-L1 (APOL1) variants and genetic African ancestry] improved serum creatinine prediction. A reduction in root mean squared error (RMSE) greater than 2% was a clinically relevant improvement in predictive ability. Results: There were 4183 PWH included. Among PWH whose serum creatinine was less than 1.7 mg/dl, race was significantly associated with serum creatinine (β = 0.06, SE = 0.01, P < 0.001) but did not improve predictive ability. African ancestry and APOL1 variants similarly failed to improve predictive ability. Whereas, when serum creatinine was at least 1.7 mg/dl, inclusion of race reduced the RMSE by 2.1%, indicating improvement in predictive ability. APOL1 variants further improved predictive ability by reducing the RMSE by 2.9%. Conclusion: These data suggest that, among PWH, inclusion of race or genetic factors may only be warranted at higher serum creatinine levels. Work eliminating existing healthcare disparities while preserving the utility of estimating equations is needed.
Adverse events and efficacy of second‐round CAR‐T cell therapy in relapsed pediatric B‐ALL

Chimeric antigen receptor (CAR) T‐cell therapy has transformed the treatment approach for pediatric patients suffering from relapsed/refractory B‐cell acute lymphoblastic leukemia (B‐ALL). However, there was a paucity of data on the challenges associated with second‐round CAR‐T therapy in this population.
Incidental catches of pelagic megafauna by the EU pelagic fleet in the Mauritanian exclusive economic zone during the year 2001 : results extracted from the scientific observer program

The joint project between the Netherlands Institute for Fisheries Research (RIVO) and the Mauritanian Institute for Oceanography and Fisheries Research (IMROP) has been initiated in 1998 in order to strengthen Mauritania’s capacity for research on stocks of small pelagic fish. Part of this project is the 'Scientific Observer Program' that monitors the catches (conserved and discarded) of the EU fishery for small pelagics in Mauritania. The EU pelagic fleet in Mauritania focuses their fisheries mainly on the group of sardinella, additional target species are horse mackerel, chub mackerel and pilchard. Still, the unwanted bycatches of non-commercial large animals such as sharks and dolphins is inevitable so far. This report describes the total bycatches of the pelagic megafauna by the EU pelagic fleet in the Mauritanian Exclusive Economic Zone during the year 2001. The current sampling of large bycatches appears to be full of shortcomings and the collected data are inadequate to apply for the evaluation of the impact of the EU pelagic fishery in Mauritania. Therefore it is concluded that the program needs to undergo a thorough renewal. Essential recommendations are given.