Miracle-dz/UniFAR-FTUs huggingface dataset:
An inflation model for massive primordial black holes to interpret the JWST observations

The first observations of the James Webb Space Telescope (JWST) have identified six massive galaxy candidates with the stellar masses $M_\ast\gtrsim 10^{10}\,M_\odot$ at high redshifts $7.4\lesssim z\lesssim 9.1$, with two most massive high-$z$ objects having the cumulative comoving number densities $n_{\rm G}$ up to $1.6\times 10^{-5}\, {\rm Mpc}^{-3}$. The presence of such massive sources in the early universe challenges the standard $\Lambda$CDM model since the needed star formation efficiency is unrealistically high. This tension can be alleviated via the accretion of massive primordial black holes (PBHs). In this work, with the updated data from the first JWST observations, we find that the PBHs with mass $10^8\,M_\odot\lesssim M_{\rm PBH}\lesssim 10^{11}\,M_\odot$ can act as the seeds of extremely massive galaxies even with a low abundance $10^{-7}\lesssim f_{\rm PBH}\lesssim 10^{-3}$. We construct an ultraslow-roll inflation model and investigate its possibility of producing the required PBHs. We explore the model in two cases, depending on whether there is a perfect plateau on the inflaton potential. If the plateau is allowed to incline slightly, our model can produce the PBHs that cover the required PBH mass and abundance range to explain the JWST data.
KIT’s Multilingual Speech Translation System for IWSLT 2023

Many existing speech translation benchmarks focus on native-English speech in high-quality recording conditions, which often do not match the conditions in real-life use-cases. In this paper, we describe our speech translation system for the multilingual track of IWSLT 2023, which focuses on the translation of scientific conference talks. The test condition features accented input speech and terminology-dense contents. The tasks requires translation into 10 languages of varying amounts of resources. In absence of training data from the target domain, we use a retrieval-based approach (kNN-MT) for effective adaptation (+0.8 BLEU for speech translation). We also use adapters to easily integrate incremental training data from data augmentation, and show that it matches the performance of re-training. We observe that cascaded systems are more easily adaptable towards specific target domains, due to their separate modules. Our cascaded speech system outperforms its end-to-end counterpart on scientific talk translation, although their performance remains similar on TED talks.
Cash, Credibility, and Conversion: The Influence of Synthetic Media on Investment Behavior

Prior to November of 2022, the topic of synthetic media was largely buried within academic journals, constrained to conversations about national security, and often fundamentally misunderstood. The release of ChatGPT, however, has accelerated discourse on the societal impacts of synthetic media. This study first highlights several gaps within existing literature on synthetic media, structuring the impact potential and limitations of synthetic media threats within a theoretical framework. Second, it identifies financial information environments as prime candidates for future disruption via synthetic text modalities, proposing an experimental survey for measuring the influential power of synthetic financial text on global investment communities. Rather than merely assessing the ability of survey participants to distinguish genuine from synthetic text, the experiment contained within this study measures synthetic media influence by observing its ability to manipulate belief via a series of behavioral variables. The results indicate that synthetic text can significantly shift investor sentiment away from what it might otherwise have been under truthful information conditions. Furthermore, synthetic financial text demonstrated a unique ability to"convert"investors, inspiring extreme changes in outlook about a company compared to genuine financial texts. This trend should inspire concern within the global financial community, particularly given the historical vulnerability of equity markets to investor sentiment shocks.
Determination of the Jet Energy Scale in CMS

Measurements of the jet energy scale in CMS and the status of the jet energy corrections for 2011 analyses are presented. The measurements have been performed with a data sample collected in proton-proton collisions at a centre-of-mass energy of 7 TeV, corresponding to an integrated luminosity of 4.9fb−1. Dijet and photon/Z+jets events are used to measure the jet energy response in the CMS detector. The results are presented for the Particle Flow approach, which attempts to reconstruct individually each particle in the event, prior to the jet clustering, based on information from all relevant subdetectors.
Higher-order Expansions and Inference for Panel Data Models

In this paper, we propose a simple inferential method for a wide class of panel data models with a focus on such cases that have both serial correlation and cross-sectional dependence. In order to establish an asymptotic theory to support the inferential method, we develop some new and useful higher-order expansions, such as Berry-Esseen bound and Edgeworth Expansion, under a set of simple and general conditions. We further demonstrate the usefulness of these theoretical results by explicitly investigating a panel data model with interactive effects which nests many traditional panel data models as special cases. Finally, we show the superiority of our approach over several natural competitors using extensive numerical studies.
Electromagnetic lensing using the Aharonov-Bohm effect

We demonstrate theoretically and experimentally a new electromagnetic lensing concept using the magnetic vector potential - in a region free of classical electromagnetic fields - via the Aharonov-Bohm effect. This toroid-shaped lens with poloidal current flow allows for electromagnetic lensing which can be tuned to be convex or concave with a spherical aberration coefficient of opposite polarity to its focal length. This new lens combines the advantages of traditional electromagnetic and electrostatic field-based lenses and opens up new possibilities for the optical design of charged-particle systems. More generally, these results demonstrate that the Aharonov-Bohm effect can shape charged particle wavefronts beyond simple step shifts if topologies beyond simple flux lines are considered and supports the physical significance of the magnetic vector potential.
Eclipse timing variations in the WD + dM eclipsing binary RR Cae

We present the binary model and the eclipse timing variations of the eclipsing binary RR Cae, which consists of a white dwarf eclipsed by an M-type dwarf companion. The multiwavelength optical photometry from the Transiting Exoplanet Survey Satellite (TESS), the 0.6-m PROMPT-8 telescope, and the 0.7-m Thai Robotic Telescope at Spring Brook Observatory, combined with archive H α radial velocities from the Very Large Telescope (VLT) are analysed. From the data, the physical parameters of the system are obtained along with 430 new times of minima. The TESS light curves in 2018 and 2020 show out-of-eclipse variations, which might be caused by a large spot on the secondary component. The light travel time effect models due to the gravitational interaction of one or two circumbinary objects are adopted to fit the cyclic variations in the RR Cae’s O-C curve. The fitting solution of the O-C curve with one circumbinary object model shows a periodic variation with a period of 16.6 ± 0.2 yr and an amplitude of 14 ± 1 s, which can be caused by a planet with a minimum mass of 3.4 ± 0.2 MJup. When we consider the model with two circumbinary objects, the O-C curve shows cyclic variations with periods of 15.0 ± 0.5 yr and 39 ± 5 yr and amplitudes of 12 ± 1 s and 20 ± 5 s, respectively, corresponding to minimum masses of 3.0 ± 0.3 MJup and 2.7 ± 0.7 MJup.
A hybrid smell agent symbiosis organism search algorithm for optimal control of microgrid operations

This paper presents a hybrid Smell Agent Symbiosis Organism Search Algorithm (SASOS) for optimal control of autonomous microgrids. In microgrid operation, a single optimization algorithm often lacks the required balance between accuracy and speed to control power system parameters such as frequency and voltage effectively. The hybrid algorithm reduces the imbalance between exploitation and exploration and increases the effectiveness of control optimization in microgrids. To achieve this, various energy resource models were coordinated into a single model for optimal energy generation and distribution to loads. The optimization problem was formulated based on the network power flow and the discrete-time sampling of the constrained control parameters. The development of SASOS comprises components of Symbiotic Organism Search (SOS) and Smell Agent Optimization (SAO) codified in an optimization loop. Twenty-four standard test function benchmarks were used to evaluate the performance of the algorithm developed. The experimental analysis revealed that SASOS obtained 58.82% of the Desired Convergence Goal (DCG) in 17 of the benchmark functions. SASOS was implemented in the Microgrid Central Controller (MCC) and benchmarked alongside standard SOS and SAO optimization control strategies. The MATLAB/Simulink simulation results of the microgrid load disturbance rejection showed the viability of SASOS with an improved reduction in Total Harmonic Distortion (THD) of 19.76%, compared to the SOS, SAO, and MCC methods that have a THD reduction of 15.60%, 12.74%, and 6.04%, respectively, over the THD benchmark. Based on the results obtained, it can be concluded that SASOS demonstrates superior performance compared to other methods. This finding suggests that SASOS is a promising solution for enhancing the control system of autonomous microgrids. It was also shown to apply to other sectors of engineering optimization.
Leader–following consensus for multi-agent systems subject to actuator saturation with switching topologies and time-varying delays

This study studies the leader-following consensus problem for a class of multi-agent systems with unknown non-linear uncertainties. It is proved that the global consensus can be achieved by distributed feedback controller subject to actuator saturation for switching topologies and time-varying delays. Sufficient conditions in terms of linear matrix inequalities are derived to ensure that all following agents could reach consensus asymptotically with a leader, which provide the allowable upper bound of communication delay. Stability analysis is mainly based on algebraic graph theory, non-linear analysis and Barbalat's lemma. Numerical simulations are given to demonstrate the effectiveness of the main results.
Analysis of proto-type Tarim Basin in the late Precambrian and the dynamic mechanism of its evolution

Tarim Basin has undergone an intricate tectonic evolution history ever since its formation from two discrete terranes in Neoproterozoic rather than in the Paleoproterozoic. More precisely, the amalgamation is assumed to happen during 1.0–0.8 Ga based on plate affinity. As the beginning of a unified Tarim block, studies of Tarim Basin in the Precambrian are basic and important. After the amalgamation of south and north paleo-Tarim terranes, Tarim block was experiencing a complicated tectonic process of being affected by mantle plume related to the breakup of Rodinia supercontinent in the south, and compressed by the Circum-Rodinia Subduction System in the north. The breakup of Rodinia supercontinent finished in the late Sinian Period, leading Kudi Ocean and Altyn Ocean to open and separating Tarim block from itself. According to the residual strata thickness, drilling data, and lithofacies distribution, the proto-type basin and tectono-paleogeographic maps of Tarim Basin in the late Nanhua Period and Sinian Period are reconstructed. With these maps, the characteristics of the rifts are revealed. Two rift systems were developed inside the unified Tarim Basin in the Nanhua Period and Sinian Period, one back-arc rift system in the northern margin and the other aulacogen system in the southern margin. The azimuth distribution of the rifts in Quruqtagh showed a predominant NE-SW trend, and the rifts in Aksu trended mainly NW-SE, while the rifts in Tiekelike trended SW-NE. With a three-dimensional elastic FEM (Finite Element Method) model that includes all rifts and deposited areas in Tarim Basin, applying the southern subduction and northern mantle upwelling properly to get the paleotectonic mian stress axes and the differential stress field, the dynamic mechanisms of rifts evolution are proved to be related to the peripheral tectonic environment mentioned above.
3D deconvolution of human skin immune architecture with Multiplex Annotated Tissue Imaging System

Routine clinical assays, such as conventional immunohistochemistry, often fail to resolve the regional heterogeneity of complex inflammatory skin conditions. We introduce MANTIS (Multiplex Annotated Tissue Imaging System), a flexible analytic pipeline compatible with routine practice, specifically designed for spatially resolved immune phenotyping of the skin in experimental or clinical samples. On the basis of phenotype attribution matrices coupled to α-shape algorithms, MANTIS projects a representative digital immune landscape while enabling automated detection of major inflammatory clusters and concomitant single-cell data quantification of biomarkers. We observed that severe pathological lesions from systemic lupus erythematosus, Kawasaki syndrome, or COVID-19–associated skin manifestations share common quantitative immune features while displaying a nonrandom distribution of cells with the formation of disease-specific dermal immune structures. Given its accuracy and flexibility, MANTIS is designed to solve the spatial organization of complex immune environments to better apprehend the pathophysiology of skin manifestations.
Is iron deficiency caused by BMPR2 mutations or dysfunction in pulmonary arterial hypertension patients?

Abstract Iron deficiency is common in idiopathic and heritable pulmonary arterial hypertension patients (I/HPAH). A previous report suggested a dysregulation of the iron hormone hepcidin, which is controlled by BMP/SMAD signaling involving the bone morphogenetic protein receptor 2 (BMPR‐II). Pathogenic variants in the BMPR2 gene are the most common cause of HPAH. Their effect on patients' hepcidin levels has not been investigated. The aim of this study was to assess whether iron metabolism and regulation of the iron regulatory hormone hepcidin was disturbed in I/HPAH patients with and without a pathogenic variant in the gene BMPR2 compared to healthy controls. In this explorative, cross‐sectional study hepcidin serum levels were quantified by enzyme‐linked immunosorbent assay. We measured iron status, inflammatory parameters and hepcidin modifying proteins such as IL6, erythropoietin, and BMP2, BMP6 in addition to BMPR‐II protein and mRNA levels. Clinical routine parameters were correlated with hepcidin levels. In total 109 I/HPAH patients and controls, separated into three groups, 23 BMPR2 variant‐carriers, 56 BMPR2 noncarriers and 30 healthy controls were enrolled. Of these, 84% had iron deficiency requiring iron supplementation. Hepcidin levels were not different between groups and corresponded to the degree of iron deficiency. The levels of IL6, erythropoietin, BMP2, or BMP6 showed no correlation with hepcidin expression. Hence, iron homeostasis and hepcidin regulation was largely independent from these parameters. I/HPAH patients had a physiologically normal iron regulation and no false elevation of hepcidin levels. Iron deficiency was prevalent albeit independent of pathogenic variants in the BMPR2 gene.
Potential application of spectral indices for olive water status assessment in (semi‐)arid regions: A case study in Khuzestan Province, Iran

Abstract Spectral indices can be used as fast and non‐destructive indicators of plant water status or stress. It is the objective of the present study to evaluate the feasibility of using several spectral indices including water index (WI) and normalized spectral water indices 1–5 (NWI 1–5) to estimate water status in olive trees in arid regions in Iran. The experimental treatments involved two olive cultivars (Koroneiki and T2) and four irrigation regimes (irrigated with 100%, 85%, 70%, and 55% estimated crop evapotranspiration [ETc]). The results obtained showed that olive trees subjected to the different irrigation regimes of 85%, 70%, and 55% ETc experienced soil water content (SWC) deficits by 4.5%, 12%, and 20.5% that of the control, respectively. Significant differences were observed among the treatments with respect to measured relative water content (RWC), SWC, and the spectral indices of WI and NWI 1–5. The normalized spectral indices combining NIR and NIR wavelengths were found more effective in tracking changes in RWC and SWC than those that combine NIR and VIS or VIS and VIS wavelengths, respectively. Spectral indices were closely and significantly associated with RWC (.63**<R2<.77**) and SWC (.51**<R2<.67**). Among all the spectral indices investigated, NWI‐2 showed the least consistent associations with RWC (ranging from 4–15% lower than the other indices examined) and SWC (ranging from 1–23% lower than the others). Based on the pooled data on spectral indices, RWC, and SWC collected during the study period, WI, NWI‐1, NWI‐4, and NWI‐5 showed stronger correlations with RWC and SWC than did NWI‐3 and NWI‐2. In conclusion, the spectral indices of WI and NWI 1–5 measured at the leaf level are found useful as fast and non‐destructive estimators of plant water stress in arid regions.
Does moral sensitivity contribute to patient satisfaction? A cross-sectional survey in educational hospitals

Summary Introduction Our study aims to assess interactions between the moral sensitivity of physicians and the satisfaction of patients. Methods This is a cross-sectional study. Data were collected by a standard questionnaire of the physicians’ moral sensitivity about decision-making and a researcher-made patient satisfaction questionnaire. The physicians were selected through the census method, and patients were selected using quota sampling to equal the selection of each physician from each work shift. All information was analyzed by SPSS statistical software version 23. Results The mean score for physicians’ moral sensitivity was 91.6 ± 0.63 which shows a high level of moral sensitivity. The average patient satisfaction was 61.97 ± 3.55 out of the total score (23-115) which shows a moderate level of satisfaction with the highest scores in the domain of “professionalism” and the lowest scores were related to the domain of “Technical Quality of Care”. Conclusion For improving patient satisfaction, adopting appropriate strategies like performing the periodic evaluation of this phenomenon and providing some codified training in this regard are required to increase the level of moral sensitivity of physicians and provide high-quality care.
Relationship between health literacy skills and walking behavior to prevent osteoporosis among health volunteers

Summary Background Considering the effect of exercise and health literacy in preventing osteoporosis, the effect of health literacy in adopting preventive behaviors, and the role of health volunteers in transferring health messages to the community, this study aimed to determine the relationship between health literacy skills and adopting walking behavior to prevent osteoporosis in women health volunteers. Methods In a cross-sectional study, 290 health volunteers referring to Qazvin health centers in 2020 were selected through Multi-stage random sampling. Data were collected using a health literacy questionnaire (HELIA) and a questionnaire for the adoption of walking behaviors for the prevention of osteoporosis, and they were analyzed using descriptive statistics and logistic regression in SPSS software version 23. Results The adoption of walking behaviors to prevent osteoporosis was at an average level. Age (P = 0.034, OR = 1.098), decision-making and application of health information (P < 0.001, OR = 1.135), understanding (P = 0.031, OR = 1.054), and evaluation skills (P = 0.018, OR = 1.049) were factors affecting the adoption of this behavior so that by increasing one score to these variables, the chance of adopting the behavior increased 1.098, 1.135, 1.054 and 1.049 respectively. Also, the level of education was another effective variable in adopting this behavior, so having a favorable level of adoption of this behavior in health volunteers with a diploma degree (P = 0.017, OR = 0.736) and below diploma (P = 0.011, OR = 0.960), were 0.736 and 0.960 times of those with university degrees respectively. Conclusion The adoption of walking behaviors to prevent osteoporosis among health volunteers – who have lower age, education, and decision-making skills and the use of health information, understanding, and evaluation – was less. Therefore, it is necessary to pay more attention to them when designing educational health programs.
PrEP knowledge, acceptability, and implementation in Ghana: Perspectives of HIV service providers and MSM, trans women, and gender diverse individuals living with HIV

Pre-exposure prophylaxis (PrEP) could help reduce HIV incidence among cis men, trans women, and gender diverse individuals assigned male at birth who have sex with men (MSM, trans women, and GDSM) in Ghana, a group that bears a high HIV burden. Our study examined PrEP knowledge and acceptability, and barriers and facilitators to its uptake and implementation through qualitative interviews with 32 MSM, trans women, and GDSM clients living with HIV, 14 service providers (SPs), and four key informants (KIs) in Accra, Ghana. We interviewed participants about their PrEP knowledge, whether MSM would take PrEP, and what factors would make it easy/difficult to uptake or implement PrEP. Interview transcripts were analyzed using thematic analysis. There was high acceptability of PrEP use and implementation among MSM, trans women, GDSM, and SPs/KIs in Ghana. MSM, trans women, and GDSM interest in, access to, and use of PrEP were shaped by intersectional HIV and anti-gay stigma; PrEP affordability, acceptability, and ease of use (e.g., consumption and side effects); sexual preferences (e.g., condomless sex vs. condom use), and HIV risk perception. Concerns raised about barriers and facilitators of PrEP use and implementation ranged from medical concerns (e.g., STIs; drug resistance); social behavioral concerns (e.g., stigma, risk compensation, adherence issues); and structural barriers (e.g., cost/affordability, govern commitment, monitoring systems, policy guidance). Targeted education on PrEP and proper use of it is needed to generate demand and dispel worries of side effects among MSM, trans women, and GDSM. Free, confidential, and easy access to PrEP must be supported by health systems strengthening, clear prescription guidelines, and anti-stigma training for providers.