Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimal Policy for Behavioral Financial Crises

Should policymakers adapt their macroprudential and monetary policies when the financial sector is vulnerable to belief-driven boom-bust cycles? I develop a model in which financial intermediaries are subject to collateral constraints, and that features a general class of deviations from rational expectations. I show that distinguishing between the drivers of behavioral biases matters: when biases are a function of equilibrium asset prices, new externalities arise, even in models that do not have any room for policy in their rational benchmark. These effects are robust to the degree of sophistication of agents regarding their future biases. I show how time-varying leverage, investment and price regulations can achieve constrained efficiency. Finally, I show that greater uncertainty about the extent of behavioral biases in financial markets reinforces incentives for preventive action.
The Role of Communication In COVID-19 Crisis Management: Findings about Information Behavior of German and Italian Young People

Given the different levels of pandemic severity in Germany and Italy, the paper investigates the differences in information behavior, and its consequences, between German and Italian young adults during the COVID-19 pandemic, especially in the first and second waves of infections in the two countries. In particular, the issue of crisis management through institutional communication, the development of information behavior and information consumption throughout the year 2020 are analyzed through a questionnaire-based case study considering the constructs topic fatigue, trust in government sources and vaccination hesitancy. The paper reveals that there are considerable differences in time spent looking for information, with Italian respondents generally spending more time in these activities. Surprisingly, Italian respondents seem to place more trust in their government and institutions than Germans do. Vaccination hesitancy is estimated as higher in Germany than in Italy. People who feel less informed are also less likely to get a vaccination when offered the possibility, moreover, the perception of risk of infection plays a major role in vaccination acceptance. From the point of view of public management, findings of this work highlight the knowledge of citizens’ information behavior and habits as relevant to the design of communication campaigns to address health crises.
Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation

Curvilinear structure segmentation (CSS) is under semantic segmentation, whose applications include crack detection, aerial road extraction, and biomedical image segmentation. In general, geometric topology and pixel-wise features are two critical aspects of CSS. However, most semantic segmentation methods only focus on enhancing feature representations while existing CSS techniques emphasize preserving topology alone. In this paper, we present a Joint Topology-preserving and Feature-refinement Network (JTFN) that jointly models global topology and refined features based on an iterative feedback learning strategy. Specifically, we explore the structure of objects to help preserve corresponding topologies of predicted masks, thus design a reciprocative two-stream module for CSS and boundary detection. In addition, we introduce such topology-aware predictions as feedback guidance that refines attentive features by supplementing and enhancing saliencies. To the best of our knowledge, this is the first work that jointly addresses topology preserving and feature refinement for CSS. We evaluate JTFN on four datasets of diverse applications: Crack500, CrackTree200, Roads, and DRIVE. Results show that JTFN performs best in comparison with alternative methods. Code is available.1
Upsilon production and nuclear modification at forward rapidity in Pb-Pb collisions at root S-NN=5.02 TeV

The production of ϒ mesons in Pb–Pb collisions at a centre-of-mass energy per nucleon pair √ s NN = 5 . 02 TeV is measured with the muon spectrometer of the ALICE detector at the LHC. The yields as well as the nuclear modiﬁcation factors are determined in the forward rapidity region 2 . 5 < y < 4 . 0, as a function of rapidity, transverse momentum and collision centrality. The results show that the production of the ϒ ( 1S ) meson is suppressed by a factor of about three with respect to the production in proton– proton collisions. For the ﬁrst time, a signiﬁcant signal for the ϒ ( 2S ) meson is observed at forward rapidity, indicating a suppression stronger by about a factor 2–3 with respect to the ground state. The measurements are compared with transport, hydrodynamic, comover and statistical hadronisation model calculations. © 2021 European Organization for Nuclear Research, ALICE. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP 3 . isotropic at rapidity in the recombinations of EPPS16 nPDF parametrisation In the ﬁgures, the are with a band due to the nPDF uncertainty and with three curves from the variation of the coupling constants.
NETs decorated with bioactive IL-33 infiltrate inflamed tissues and induce IFN-α production in patients with SLE

IL-33, a nuclear alarmin released during cell death, exerts context-specific effects on adaptive and innate immune cells, eliciting potent inflammatory responses. We screened blood, skin, and kidney tissues from patients with systemic lupus erythematosus (SLE), a systemic autoimmune disease driven by unabated type I IFN production, and found increased amounts of extracellular IL-33 complexed with neutrophil extracellular traps (NETs), correlating with severe, active disease. Using a combination of molecular, imaging, and proteomic approaches, we show that SLE neutrophils, activated by disease immunocomplexes, release IL-33–decorated NETs that stimulate robust IFN-α synthesis by plasmacytoid DCs in a manner dependent on the IL-33 receptor ST2L. IL33-silenced neutrophil-like cells cultured under lupus-inducing conditions generated NETs with diminished interferogenic effect. Importantly, NETs derived from patients with SLE are enriched in mature bioactive isoforms of IL-33 processed by the neutrophil proteases elastase and cathepsin G. Pharmacological inhibition of these proteases neutralized IL-33–dependent IFN-α production elicited by NETs. We believe these data demonstrate a novel role for cleaved IL-33 alarmin decorating NETs in human SLE, linking neutrophil activation, type I IFN production, and end-organ inflammation, with skin pathology mirroring that observed in the kidneys.
Learning Agile Motor Skills on Quadrupedal Robots using Curriculum Learning

—Deep reinforcement learning offers an automated approach for developing complex motor controllers. While this method is convenient and widely used, it is known for its notorious high sample complexity, which hinders its use in many practical applications. One reason for the high sample complexity is the sparsity of reward signals, which are easy to design but slow down the convergence of policy gradient algorithms. In this work, we propose two different curriculum approaches for converting sparse reward signals to more dense formulations: environment-driven curriculum and task-driven curriculum. We demonstrate that our curriculum design allows us to learn a variety of agile locomotion skills and acrobatic motions for quadrupedal robots such as jumping, ﬂipping, double-jumping, and wall-back-ﬂipping.
Exploring the relationship between coronary heart disease and type 2 diabetes: a cross-sectional study of secondary prevention among diabetes patients

Background Coronary heart disease (CHD) and stroke are the major causes of death among people with diabetes. Aim To describe the prevalence and onset of CHD and stroke among patients with type 2 diabetes mellitus (T2DM) in primary care in Norway, and explore the quality of secondary prevention. Design & setting A cross-sectional study of data was undertaken from electronic medical records (EMRs) of 10 255 patients with T2DM in general practice. The study took place in five counties of Norway (Oslo, Akershus, Rogaland, Hordaland, and Nordland). Quality of care was assessed based on national guideline recommendations. Method Summary statistics with adjustments and binary logistic regression models were used. Results In total, 2260 patients (22.1%) had CHD and 759 (7.4%) had stroke. South Asians had significantly more CHD than ethnic Norwegians (29.5%, 95% confidence interval [CI] = 26.1 to 33.0 versus 21.5%, CI = 20.6 to 22.3) and other ethnic groups, and experienced onset of CHD or stroke at a mean of 7 years before Norwegians. In 47.9% of the patients, CHD was diagnosed before T2DM. Treatment target for low-density lipoprotein (LDL) cholesterol was reached for 30.0% and for systolic blood pressure (SBP) for 65.1% of the patients with CHD. Further, 20.9% of patients with CHD were present smokers, and only 5.0% of patients reached all four treatment targets (no smoking, HbA1c ≤7.0%, SBP <135 mmHg, LDL-cholesterol <1.8 mmol/l). Conclusion The diagnosis of CHD preceded the diagnosis of T2DM in half of the patients. The prevalence of CHD was highest and onset earlier among ethnic South Asians. More intensive treatment of lipids, blood pressure, and smoking are needed in patients with T2DM and CHD.
Understanding the Human Machine [Commentary]

The concepts of "self-tracking" and "the quantified self" have recently begun to emerge in discussions of how best to optimize one's life. These concepts refer to the practice of gathering data about oneself on a regular basis and then recording and analyzing the data to produce statistics and other data (such as images) relating to one's bodily functions and everyday habits. Some self-trackers collect data on only one or two dimensions of their lives, and only for a short time. Others may do so for hundreds of phenomena and for long periods.The tracking and analysis of aspects of one's self and one's body are not new practices. People have been recording their habits and health-related metrics for centuries as part of attempts at self-reflection and self-improvement. What is indisputably new is the term “the quantified self” and its associated movement, which includes a dedicated website with that title, and regular meetings and conferences, as well as the novel ways of self-tracking using digital technologies that have developed in recent years. A growing range of digital devices with associated apps are now available for self-tracking. Many of these devicescan be worn on or close to the body to measure elements of the user's everyday life and activities and produce data that can be recorded and monitored by the user. They include not only digital cameras, smartphones, tablet computers, watches, wireless weight scales, and blood pressure monitors, but also wearable bands or patches, clip-on devices and jewelry with embedded sensors able to measure bodily functions or movement and upload data wirelessly. In many of these devices global positioning devices, gyroscopes, altimeters, and accelerometers provide spatial location and quantify movement. These technologies allow self-trackers to collect data on their moods, diet, dreams, social encounters, posture, sexual activity, blood chemistry, heart rate, body temperature, exercise patterns, brain function, alcohol, coffee and tobacco consumption, and many other variables.
NBER WORKING PAPER SERIES EARNINGS DYNAMICS AND FIRM-LEVEL SHOCKS

We use matched employer-employee data from Sweden to study the role of the firm in affecting the stochastic properties of wages. Our model accounts for endogenous participation and mobility decisions. We find that firm-specific permanent productivity shocks transmit to individual wages, but the effect is mostly concentrated among the high-skilled workers. For low-skilled the passthrough is similar for temporary and permanent firm-level shocks and the magnitude smaller. The updates to worker-firm specific match effects over the life of a firm-worker relationship are small. Substantial growth in earnings variance over the life cycle for high-skilled workers is driven by firms. In particular, cross-sectional wage variances by age 55 are roughly one-third higher relative to a scenario with no pass-through of firm shocks onto wages. Benjamin Friedrich Kellogg School of Management Strategy Department 2211 Campus Drive Evanston, IL 60208 benjamin.friedrich@kellogg.northwestern. edu Lisa Laun Institute for Evaluation of Labour Market and Education Policy (IFAU) Box 513 SE-751 20 Uppsala Sweden Lisa.Laun@ifau.uu. se Costas Meghir Department of Economics Yale University 37 Hillhouse Avenue New Haven, CT 06511 and IZA and also NBER c.meghir@yale.edu Luigi Pistaferri Department of Economics 579 Serra Mall Stanford University Stanford, CA 94305-6072 and NBER pista@stanford.edu
FAMILIES OF GALOIS REPRESENTATIONS INCREASING THE RAMIFICATION NIGEL BOSTON

0. Introduction. Let : Gal(Q/Q) GL2(k) (k a finite field of characteristic ve 4: 2) be a continuous absolutely irreducible odd representation unramified outside a finite set $1 of rational primes, where $1. Suppose is associated to a modular form (as all such are conjectured to be 1-12]) and that this modular form is of weight 2. In this paper we study cases where increasing the set of primes allowed to be ramified in lifts of to W(k)-algebras enlarges the space of these lifts. This paper might be compared with a paper of Ribet [9-1, where increasing the set of ramified primes increases the number of corresponding modular forms. There, Ribet considers adding to $1 a prime p $1 satisfying the hypothesis
The Role of DNA Repair in Cellular Aging Process

Aging is defined as the time-dependent decline of functional properties. One common denominator of aging is mitochondrial dysfunction and accumulation of genetic damage throughout life. In fact, the imperfect maintenance of nuclear and mitochondrial DNA likely represents a critical contributor of aging. Each day, the integrity and stability of DNA are challenged by exogenous physical, chemical, or biological agents, as well as by endogenous processes, including DNA replication mistakes, spontaneous hydrolytic reactions, and reactive oxygen species. In this way, DNA repair systems have evolved a complex network that is collectively able of dealing with most of the damages inflicted. However, their efficiency may decrease with age and, therefore, influence the rate of aging. Thus, the purpose of this work is to summarize the recent knowledge in cellular aging process and its link with DNA repair systems, with a particular emphasis on the molecular mechanisms associated. non-homologous end joining
Cross-language Information Retrieval

Two key assumptions shape the usual view of ranked retrieval: (1) that the searcher can choose words for their query that might appear in the documents that they wish to see, and (2) that ranking retrieved documents will suffice because the searcher will be able to recognize those which they wished to find. When the documents to be searched are in a language not known by the searcher, neither assumption is true. In such cases, Cross-Language Information Retrieval (CLIR) is needed. This chapter reviews the state of the art for CLIR and outlines some open research questions.
Switching Between Second-Generation Antipsychotics in Patients with Schizophrenia and Schizoaffective Disorder: 10-Year Cohort Study in Brazil

Objective: Switching between second-generation antipsychotics (SGAs) is a common clinical practice in the treatment of schizophrenia and schizoaffective disorders due to differences in the drugs’ tolerability and safety profiles as well as the challenge of obtaining an ideal response. However, the factors associated with SGA switching remain uncertain and related real-world data are scarce. The main objective was to identify the factors associated with the switching of SGAs in patients with schizophrenia or schizoaffective disorder. Methods: We conducted a retrospective cohort study of outpatients with schizophrenia or schizoaffective disorder, who were aged ≥18 years and received a SGA (clozapine, olanzapine, risperidone, quetiapine or ziprasidone) from a Brazilian pharmaceutical assistance program for at least 3 months. We identified SGA users from 2008 to 2017 by using a national administrative database (Ambulatory Information System-SIA/SUS). The factors associated with the switches were evaluated by Cox proportional hazards regression and adjusted for sex and age; the confidence interval was set at 95% (95% CI). Results: In total, 563,765 patients were included. Female sex, advanced age of ≥70 years, residence in the Brazilian northeast region, and the type of antipsychotic used were associated with an increased risk of switching (p < 0.001). The incidence of switching ranged from 37.6/100 person-years for clozapine users to 58.2/100 person-years for risperidone users. Compared to the adjusted hazard ratio, for clozapine users, the corresponding ratios for risperidone, ziprasidone, quetiapine and olanzapine were 1.59 (95% CI, 1.57–1.61), 1.41 (95% CI, 1.39–1.44), 1.25 (95% CI, 1.23–1.26) and 1.11 (95% CI, 1.10–1.12) respectively. Conclusion: The groups most susceptible to SGA switching in real-life setting were older individuals, women, and those living in the Brazilian northeast region. Risperidone was associated with the highest risk of switching and as expected, clozapine was associated with the lowest risk of switching than that associated with the other SGAs.
Virtual Reality-Based Therapy Improves Fatigue, Impact, and Quality of Life in Patients with Multiple Sclerosis. A Systematic Review with a Meta-Analysis

Patients with multiple sclerosis (PwMS) have a high level of fatigue and a reduced quality of life (QoL) due to the impact of multiple sclerosis (MS). Virtual reality-based therapy (VRBT) is being used to reduce disability in PwMS. The aim of this study was to assess the effect of VRBT on fatigue, the impact of MS, and QoL in PwMS. Methods: A systematic review with meta-analysis was conducted through a bibliographic search on PubMed, Scopus, Web of Science, and PEDro up to April 2021. We included randomized controlled trials (RCTs) with PwMS that received VRBT in comparison to conventional therapy (CT) including physiotherapy, balance and strength exercises, and stretching or physical activity, among others; or in comparison to simple observation; in order to assess fatigue, MS-impact, and QoL. The effect size was calculated using Cohen’s standardized mean difference with a 95% confidence interval (95% CI). Results: Twelve RCTs that provided data from 606 PwMS (42.83 ± 6.86 years old and 70% women) were included. The methodological quality mean, according to the PEDro Scale, was 5.83 ± 0.83 points. Our global findings showed that VRBT is effective at reducing fatigue (SMD −0.33; 95% CI −0.61, −0.06), lowering the impact of MS (SMD −0.3; 95% CI −0.55, −0.04), and increasing overall QoL (0.5; 95% CI 0.23, 0.76). Subgroup analysis showed the following: (1) VRBT is better than CT at reducing fatigue (SMD −0.4; 95% CI −0.7, −0.11), as well as in improving the mental dimension of QoL (SMD 0.51; 95% CI 0.02, 1); (2) VRBT is better than simple observation at reducing the impact of MS (SMD −0.61; 95% CI −0.97, −0.23) and increasing overall QoL (SMD 0.79; 95% CI 0.3, 1.28); and (3) when combined with CT, VRBT is more effective than CT in improving the global (SMD 0.6, 95% CI 0.13, 1.07), physical (SMD 0.87; 95% CI 0.3, 1.43), and mental dimensions (SMD 0.6; 95% CI 0.08, 1.11) of QoL. Conclusion: VRBT is effective at reducing fatigue and MS impact and improving QoL in PwMS.
A novel serum biomarker quintet reveals added prognostic value when combined with standard clinical parameters in prostate cancer patients by predicting biochemical recurrence and adverse pathology

The objective was to determine the prognostic utility of a new biomarker combination in prostate cancer (PCa) patients undergoing Radical Prostatectomy (RP). Serum samples and clinical data of 557 men who underwent RP for PCa with pathological stage (pT) <3 at Martini Clinic (Hamburg, Germany) were used for analysis. Clinical Grade Group and clinical stage was determined using biopsy samples while tumor marker concentrations were measured in serum using immunoassays. The prognostic utility of the proposed marker combination was assessed using Cox proportional hazard regression and Kaplan-Meier analysis. The performance was compared to the Cancer of the Prostate Risk Assessment (CAPRA) score in the overall cohort and in a low-risk patient subset. A multivariable model comprising fibronectin 1, galectin-3-binding protein, lumican, matrix metalloprotease 9, thrombospondin-1 and PSA together with clinical Grade Group (GG) and clinical stage (cT) was created. The proposed model was a significant predictor of biochemical recurrence (BCR) (HR 1.29 per 5 units score, 95%CI 1.20–1.38, p<0.001). The Kaplan-Meier analysis showed that the proposed model had a better prediction for low-risk disease after RP compared to CAPRA (respectively 5.0% vs. 9.1% chance of BCR). In a pre-defined low risk population subset, the risk of BCR using the proposed model was below 5.2% and thus lower when compared to CAPRA = 0–2 (9%), GG<2 (7%) and NCCN = low-risk (6%) subsets. Additionally, the proposed model could significantly (p<0.001) discriminate patients with adverse pathology (AP) events at RP from those without. In conclusion, the proposed model is superior to CAPRA for the prediction of BCR after RP in the overall cohort as well as a in a pre-defined low risk patient population subset. It is also significantly associated with AP at RP.
The role of health literacy in cancer care: A mixed studies systematic review

Background Patients diagnosed with cancer face many challenges and need a good understanding of their diagnosis and proposed treatments to make informed decisions about their care. Health literacy plays an important role in this and low health literacy has been associated with poorer outcomes. The aims of this review are to identify which outcomes relate to health literacy in patients with cancer, and to combine this through a mixed studies approach with the patient experience as described through qualitative studies. Methods Four electronic databases were searched in January 2021 to identify records relating to health literacy and patients with cancer. Records were independently screened then assessed for inclusion by two reviewers according to the following criteria: patients aged ≥18 years with cancer, English language publication AND health literacy measured with validated tool and measured outcome associated with health literacy OR qualitative study exploring the role of health literacy as patients make decisions about health. Quality was independently assessed by two reviewers. A narrative synthesis was performed, and findings integrated through concept mapping. This systematic review was registered with PROSPERO, entry CRD42020166454. Results 4441 records were retrieved. Following de-duplication, 2496 titles and abstracts were screened and full texts of 405 papers were reviewed for eligibility. 66 papers relating to 60 studies met the eligibility criteria. Lower health literacy was associated with greater difficulties understanding and processing cancer related information, poorer quality of life and poorer experience of care. Personal and situational influences contributed to how participants processed information and reached decisions about their care. Conclusion This review highlights the important role of health literacy for patients with cancer. Outcomes are poorer for those who experience difficulties with health literacy. Further efforts should be made to facilitate understanding, develop health literacy and support patients to become more involved in their care.