Miracle-dz/UniFAR-FTUs huggingface dataset:
Six-loop anomalous dimension of the 
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A technique of large-charge expansion provides a novel opportunity for calculation of critical dimensions of operators $\phi^Q$ with fixed charge $Q$. In the small-coupling regime the polynomial structure of the anomalous dimensions can be fixed from a number of direct perturbative calculations for a fixed $Q$. At the six-loop level one needs to include new diagrams that correspond to operators with five or more legs. The latter never appeared before in scalar-theory calculations. Here we show how to compute the anomalous dimension of the operator $\phi^{Q=5}$ at the six-loop order. In combination with results for operators with $Q<5$, which are extracted from the six-loop beta-functions for general scalar theory, and with predictions from the large-charge expansion, our calculation allows us to derive the answer for general-$Q$ anomalous dimensions. At the critical point resummation in three dimensions enables us to compare the critical exponents with results of Monte-Carlo simulations and large-$N$ predictions.
Magnetic properties of moiré quantum dot arrays

We investigate magnetic properties of quantum dot arrays of moir\'e triangular superlattices. Starting from a reciprocal space model, we use the projection technique to obtain maximally localized Wannier functions and determine generalized Hubbard model parameters. The many-body Hamiltonian is solved using the exact diagonalization method as a function of the number of electrons in differently shaped quantum dots arrays. Finite spin polarization is observed within a wide range of filling factors for small twist angles and sufficiently strong interactions in most of the studied structures. The prospect for a magnetization controlled by applying a displacement field is presented. In the vicinity of half-filling, signatures of Nagaoka ferromagnetism in moir\'e materials are seen, which we demonstrate by comparing results with the corresponding on-site Hubbard model.
Cyclotron quantization and mirror-time transition on nonreciprocal lattices

Unidirectional transport and localized cyclotron motion are two opposite physical phenomena. Here, we study the interplay effects between them on nonreciprocal lattices subject to a magnetic field. We show that, in the long-wavelength limit, the trajectories of the wave packets always form closed orbits in four-dimensional (4D) complex space. Therefore, the semiclassical quantization rules persist despite the nonreciprocity, which preserves real Landau levels. We predict a different type of non-Hermitian spectral transition induced by the spontaneous breaking of the combined mirror-time reversal ($\mathcal{MT}$) symmetry, which generally exists in such systems. An order parameter is proposed to describe the $\mathcal{MT}$ phase transition, not only to determine the $\mathcal{MT}$ phase boundary but also to quantify the degree of $\mathcal{MT}$-symmetry breaking. Such an order parameter can be generally applied to all types of non-Hermitian phase transitions.
The Analysis of Synonymy and Antonymy in Discourse Relations: An Interpretable Modeling Approach

The idea that discourse relations are interpreted both by explicit content and by shared knowledge between producer and interpreter is pervasive in discourse and linguistic studies. How much weight should be ascribed in this process to the lexical semantics of the arguments is, however, uncertain. We propose a computational approach to analyze contrast and concession relations in the PDTB corpus. Our work sheds light on the question of how much lexical relations contribute to the signaling of such explicit and implicit relations, as well as on the contribution of different parts of speech to these semantic relations. This study contributes to bridging the gap between corpus and computational linguistics by proposing transparent and explainable computational models of discourse relations based on the synonymy and antonymy of their arguments.
QED vacuum nonlinearity in Laguerre-Gauss beams

We investigate in detail the stimulated photon emission in pulse-shaped Laguerre-Gauss beams of arbitrary mode decomposition within the framework of Euler-Heisenberg eﬀective theory. We elaborate on the analytic structure of the photon emission amplitude and identify its dominant and sub-dominant parts by analyzing each signature’s phase scaling. We identify three distinct nonlinear signatures: the orbital angular momentum (OAM) ﬂip ( (cid:96) : 1 → − 1) , higher harmonic generation ( (cid:96) : 1 → 2) and harmonic reduction ( (cid:96) : 1 → 0). We estimate signal photon yield for each signature under various pulse collision scenarios we explain in detail. We also outline a prospective experimental setup that may probe these signatures.
The Discovery of the 528.6 Hz Accreting Millisecond X-Ray Pulsar MAXI J1816–195

We present the discovery of 528.6 Hz pulsations in the new X-ray transient MAXI J1816–195. Using NICER, we observed the first recorded transient outburst from the neutron star low-mass X-ray binary MAXI J1816–195 over a period of 28 days. From a timing analysis of the 528.6 Hz pulsations, we find that the binary system is well described as a circular orbit with an orbital period of 4.8 hr and a projected semimajor axis of 0.26 lt-s for the pulsar, which constrains the mass of the donor star to 0.10–0.55 M ⊙. Additionally, we observed 15 thermonuclear X-ray bursts showing a gradual evolution in morphology over time, and a recurrence time as short as 1.4 hr. We did not detect evidence for photospheric radius expansion, placing an upper limit on the source distance of 8.6 kpc.
Extremal Kerr black hole entropy in Poincaré gauge theory

We analyze the near horizon symmetry of the extremal Kerr black hole within the framework of Poincar\'e gauge theory (PG) for two important limiting cases: Riemannian and teleparallel solution. We show that the algebra of canonical generators is realized by Virasoro algebra, with central charge which depends on the black hole horizon radius . The conformal entropy of the black hole is obtained via Cardy formula.
Modal expansions of ririgs

In this paper we introduce the variety of I-modal ririgs. We characterize the congruence lattice of its members by means of I-ﬁlters and we provide a description on I-ﬁlter generation. We also provide an axiomatic presentation for the variety generated by chains of the subvariety of contractive I-modal ririgs. Finally, we introduce a Hilbert-style calculus of a logic with I-modal ririgs as an equivalent algebraic semantics and we prove that such a logic has the parametrized local deduction-detachment theorem.
Conformal dynamics at infinity for groups with contracting elements

This paper develops a theory of conformal density at infinity for groups with contracting elements. We start by introducing a class of convergence boundary encompassing many known hyperbolic-like boundaries, on which a detailed study of conical points and Myrberg points is carried out. The basic theory of conformal density is then established, including the Sullivan shadow lemma and Hopf-Tsuji-Sullivan theorem. This gives a unification of the theory of conformal density on the Gromov and Floyd boundary for (relatively) hyperbolic groups, the visual boundary for rank-1 CAT(0) groups, and Thurston boundary for mapping class groups. Besides that, the conformal density on the horofunction boundary provides a new important example of our general theory. At last, we present applications towards the co-growth problem of divergent groups, measure theoretical results for CAT(0) groups and mapping class groups.
Effect of annealing in the formation of well-crystallized and textured SrFe_12O_19 films grown by RF magnetron sputtering

We have studied the influence of the annealing treatment on the crystalline growth of SrFe_12O_19 previously deposited on Si (100) substrates using radio frequency (RF) magnetron sputtering. For this goal, two grown films, with and without ex situ heating step, have been analyzed and compared to determine the differences in their structural, compositional, and magnetic properties. The results obtained by the different analysis techniques, in particular Mössbauer spectroscopy together with EXAFS and XANES data, suggest that the as-grown film is composed of nanocrystalline maghemite nanoparticles and amorphous strontium oxide. Specifically, Mössbauer spectroscopy results pointed out the presence of Fe^3+ cations occupying octahedral and tetrahedral sites with hyperfine magnetic fields 49.3 T and 44.2 T, respectively, characteristic of a spinel-related structure. A strontium hexaferrite canonical structure with a c-axis orientation in the sample plane was found for the annealed film. Graphical abstract
Reconstructing the Assembly of Massive Galaxies. II. Galaxies Develop Massive and Dense Stellar Cores as They Evolve and Head toward Quiescence at Cosmic Noon

We use the spectral energy distribution fitting code Prospector to reconstruct the nonparametric star formation history (SFH) of massive ( logM*>10.3 ) star-forming galaxies (SFGs) and quiescent galaxies (QGs) at redshift z obs ∼ 2 to investigate the joint evolution of star formation activity and structural properties. Compared to extended SFGs, compact SFGs are more likely to have experienced multiple star formation episodes, with the fractional mass formed during the older (≥1 Gyr) episode being larger, suggesting that high-redshift SFGs assembled their central regions earlier and then kept growing in central mass as they become more compact. The SFH of compact QGs does not significantly differ from the average for this category, and shows an early burst followed by a gradual decline of the star formation rate. The SFH of extended QGs, however, is similar to that of post-starburst galaxies, and their morphology is also frequently disturbed. Knowledge of the SFH also enables us to empirically reconstruct the structural evolution of individual galaxies. While the progenitor effect is clearly observed and accounted for in our analysis, it alone is insufficient to explain the observed structural evolution. We show that, as they evolve from star-forming phase to quiescence, galaxies grow massive dense stellar cores. Quenching begins at the center and then propagates outward to the rest of the structure. We discuss possible physical scenarios for the observed evolution and find that our empirical constraints are in good quantitative agreement with the model predictions from dissipative accretion of gas to the center followed by massive starbursts before final quiescence (wet compaction).
Effects of behavioral restrictions on COVID-19 spread

Several measures including behavioral restrictions for individuals have been taken to control the spread of COVID-19 all over the world. The aim of these measures is to prevent infected persons from contacting with susceptible persons. Since the behavioral restrictions for all citizens, such as the city-wide lockdown, are directly linked to stagnation of economic activities, the assessment of such measures is crucial. In order to evaluate the effects of behavioral restrictions, we employ the broken-link model to compare the situation of COVID-19 in Shanghai where the lockdown was implemented from March to June 2022 with it in Taiwan where a spread of COVID-19 was known to be well controlled so far. The result shows that the small link-connection probability is achieved by substantial isolation of infected person including the lockdown measures. Although the strict measures for behavioral restrictions are effective to reduce the total infected people, the daily confirmed cases follow the curve which is evaluated by the broken-link model. This result is considered as unavoidable infections for population.
Underlying reasons for post-mortem diagnosed lung cancer cases – A robust retrospective comparative study from Hungary (HULC study)

Objective The Hungarian Undiagnosed Lung Cancer (HULC) study aimed to explore the potential reasons for missed LC (lung cancer) diagnosis by comparing healthcare and socio-economic data among patients with post-mortem diagnosed LC with those who were diagnosed with LC during their lives. Methods This nationwide, retrospective study used the databases of the Hungarian Central Statistical Office (HCSO) and National Health Insurance Fund (NHIF) to identify patients who died between January 1, 2019 and December 31, 2019 and were diagnosed with lung cancer post-mortem (population A) or during their lifetime (population B). Patient characteristics, socio-economic factors, and healthcare resource utilization (HCRU) data were compared between the diagnosed and undiagnosed patient population. Results During the study period, 8,435 patients were identified from the HCSO database with LC as the cause of death, of whom 1,203 (14.24%) had no LC-related ICD (International Classification of Diseases) code records in the NHIF database during their lives (post-mortem diagnosed LC population). Post-mortem diagnosed LC patients were significantly older than patients diagnosed while still alive (mean age 71.20 vs. 68.69 years, p<0.001), with a more pronounced age difference among female patients (difference: 4.57 years, p<0.001), and had significantly fewer GP (General Practitioner) and specialist visits, X-ray and CT scans within 7 to 24 months and 6 months before death, although the differences in GP and specialist visits within 7–24 months did not seem clinically relevant. Patients diagnosed with LC while still alive were more likely to be married (47.62% vs. 33.49%), had higher educational attainment, and had more children, than patients diagnosed with LC post-mortem. Conclusions Post-mortem diagnosed lung cancer accounts for 14.24% of total lung cancer mortality in Hungary. This study provides valuable insights into patient characteristics, socio-economic factors, and HCRU data potentially associated with a high risk of lung cancer misdiagnosis.
Utility of IL-6 in the Diagnosis, Treatment and Prognosis of COVID-19 Patients: A Longitudinal Study

Introduction: Covid-19 has caused devastating effects worldwide ever since its origin in December, 2019. Till date, there is no definitive treatment for it. Deaths due to Covid-19 has largely been attributed to cytokine storm and organ dysfunctions, mainly ARDS. Therefore, the focus has been on using inflammatory markers as a marker of severity of the disease. IL-6 is one such marker which has been increasingly used in the management of Covid-19. We conducted a longitudinal study to investigate the role of IL-6 in diagnosis, treatment and prognosis of Covid-19 related cytokine storm. Methodology: Patients with Covid-19, who were admitted at AIIMS Rishikesh from March to December, 2020 were included in the study. Patients with no baseline IL-6 value at admission and for whom clinical data was not available were excluded. Clinical and laboratory data of these patients were collected from the e-hospital portal and entered in excel sheet. The correlation was seen with other inflammatory markers and outcomes were assessed using MS Excel 2010 and SPSS software. Results: At total of 131 patients were included in the study. Majority were males (74.8%), mean age of the subjects being 55.03+13.57 years, with a mean duration from symptom onset being 6.69+6.3 days. Most of them belonged to the WHO severe category (82.4%), with 46.56% having severe hypoxia at presentation and 61.8% of them having some comorbidity- diabetes mellitus being the commonest. Spearman Rank Correlation coefficient of IL-6 with D-dimer was 0.203, with LDH was -0.005, with Ferritin was 0.3, and with Uric acid was 0.123. 11 patients received Tocilizumab at a mean duration from symptom onset of 18.09 days, and 100% mortality was observed. Deaths were reported more in the group with IL-6 more than 40pg/ml (57.1% vs 40.2%,p=0.06). Similarly, ICU admissions and ventilator requirement were reported more in the IL-6 more than 40pg/ml group (95.9% vs 91.4%,p=0.32 and 55.1% vs 37.8%,p=0.05). Conclusion: The study showed that IL-6 can be used as a possible thrombotic cytokine marker. Higher values of IL-6 (>40pg/ml) are associated with more deaths, ICU admissions and ventilator requirement.
Pharmacological and psychological treatment have common and specific effects on brain activity in obsessive-compulsive disorder

Background Initial treatment for obsessive-compulsive disorder (OCD) consists of pharmacological treatment with selective serotonin reuptake inhibitors (SSRIs) and/or psychological treatment with cognitive-behavioral therapy (CBT). The assumption is that both treatments have different neural working mechanisms, but empirical evidence is lacking. We investigated whether these treatments induce similar or different functional neural changes in OCD. Methods We conducted a longitudinal non-randomised controlled trial in which thirty-four OCD patients were treated with sixteen weeks of CBT or SSRIs. Functional magnetic resonance imaging was performed before and after treatment during emotional processing (emotional face matching and symptom provocation tasks) and response inhibition (stop signal task). Twenty matched healthy controls were scanned twice with a similar time interval. The study was registered at the Netherlands Trial Registry (NTR6575), https://trialsearch.who. int/Trial2.aspx? TrialID=NTR6575. Results Both CBT and SSRIs were successful in reducing OCD symptoms. Compared to healthy controls, treatment led to a reduction of insula activity in OCD patients during symptom provocation. The comparison between treatment groups revealed wide-spread divergent brain changes in the cerebellum, posterior insula, caudate nucleus, hippocampus, occipital and prefrontal cortex during all tasks, explained by relative increases of activity following CBT compared to relative decreases of activity following SSRIs. Conclusions Pharmacological and psychological treatment primarily lead to opposite changes in brain function, with a common reduction of insula activity during symptom provocation. These findings provide insight in common and specific neural mechanisms underlying treatment response, suggesting that CBT and SSRIs support recovery from OCD along partly distinct pathways.
Profiling of syngeneic mouse HCC tumor models as a framework to understand anti–PD‐1 sensitive tumor microenvironments

Background and Aims: The treatment of hepatocellular carcinoma (HCC) has been transformed by the use of immune checkpoint inhibitors. However, most patients with HCC do not benefit from treatment with immunotherapy. There is an urgent need to understand the mechanisms that underlie response or resistance to immunotherapy for patients with HCC. The use of syngeneic mouse models that closely recapitulate the heterogeneity of human HCC will provide opportunities to examine the complex interactions between cancer cells and nonmalignant cells in the tumor microenvironment. Approach and Results: We leverage a multifaceted approach that includes imaging mass cytometry and suspension cytometry by time of flight to profile the tumor microenvironments of the Hep53.4, Hepa 1‐6, RIL‐175, and TIBx (derivative of TIB‐75) syngeneic mouse HCC models. The immune tumor microenvironments vary across these four models, and various immunosuppressive pathways exist at baseline in orthotopic liver tumors derived from these models. For instance, TIBx, which is resistant to anti–programmed cell death protein 1 therapy, contains a high proportion of “M2‐like” tumor‐associated macrophages with the potential to diminish antitumor immunity. Investigation of The Cancer Genome Atlas reveals that the baseline immunologic profiles of Hep53.4, RIL‐175, and TIBx are broadly representative of human HCCs; however, Hepa 1‐6 does not recapitulate the immune tumor microenvironment of the vast majority of human HCCs. Conclusions: There is a wide diversity in the immune tumor microenvironments in preclinical models and in human HCC, highlighting the need to use multiple syngeneic HCC models to improve the understanding of how to treat HCC through immune modulation.
Synthetic cannabinoid poisonings and access to the legal cannabis market: findings from US national poison centre data 2016–2019

Abstract Aim To investigate trends in synthetic cannabinoid exposures reported to United States (US) poison control centres, and their association with status of state cannabis legalisation. Methods A retrospective study of National Poison Data System (NPDS) data from 2016 to 2019 identified and associated synthetic poisoning reports with annual state cannabis law and market status. State status was categorised as restrictive (cannabis illegal or limited medical legalisation), medical (allowing THC-containing medical cannabis use) and permissive (allowing non-medical use of THC-containing cannabis by adults). We categorised a subset of states with permissive policies by their implementation of legal adult possession/use and opening retail markets, on a quarterly basis. Mixed-effects Poisson regression models assessed synthetic exposures associated with legal status, first among all states using annual counts, and then among states that implemented permissive law alone using quarterly counts. Results A total of 7600 exposures were reported during the study period. Overall, reported synthetic exposures declined over time. Most reported exposures (64.8%) required medical attention, and 61 deaths were documented. State implementation of medical cannabis law was associated with 13% fewer reported annual exposures. Adoption of permissive state cannabis policy was independently and significantly associated with 37% lower reported annual synthetic exposures, relative to restrictive policies (IRR: 0.63, 95% CI: 0.50–0.79). Among states with permissive law during the period, implementation of legal adult possession/use was associated with 22% fewer reported quarterly exposures. Opening of retail markets was associated with 36% fewer reported exposures, relative to states with medical cannabis only. Conclusions Adoption of permissive cannabis law was associated with significant reductions in reported synthetic cannabinoid exposures. More permissive cannabis law may have the unintended benefit of reducing both motivation and harms associated with use of synthetic cannabis products.
Challenges faced when living with schizophrenia in the community: A narrative inquiry

Background: Schizophrenia is a chronic and severe mental disorder. People with schizophrenia have transferred from hospital-based care to community-based care with the support of mental health legal policies. Challenges faced in the community should be emphasized. Limited qualitative studies have explored the challenges of living with schizophrenia. Aims: To explore the challenges of people living with schizophrenia in the community. Methods: A narrative method was used, including semi-structured, face-to-face interviews. Thematic analysis approach was used to analyze data. Results: Ten clients and their family members participated in the study. Analysis revealed three main themes related to their challenges in the community: deficits in self-management of illness; insufficient community mental health care; and the influence of policy. These challenges prevent those with schizophrenia from effectively managing their illness, returning to a productive role in society, and improving their quality of life. Conclusions: There are challenges in mental health rehabilitation and social reintegration of individuals with schizophrenia. There is a need for continuous community mental rehabilitation services, appropriate policy support, and the need to educate the public to reduce social bias and discrimination which allows individuals with schizophrenia to assume a productive role in the community.