Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple Modules For Twisted Hamiltonian Extended Affine Lie Algebras

In this paper, we consider the twisted Hamiltonian extended affine Lie algebra (THEALA). We classify the irreducible integrable modules for these Lie algebras with finite-dimensional weight spaces when the finite-dimensional center acts non-trivially. This Lie algebra has a triangular decomposition, which is different from the natural triangular decomposition of twisted full toroidal Lie algebra. Any irreducible integrable module of it is the highest weight module with respect to the given triangular decomposition. In this paper, we describe the highest-weight space in detail.
A DARK-HALO-DOMINATED GALAXY - NGC-5585

Studies of the light distribution, the H I kinematics, and the mass distribution of NGC 5585, a late-type spiral galaxy in the M101 group, are presented. From the photometry, an extrapolated central surface brightness B(0)c = 21.94 mag arcsec-2 and a scale length alpha-1 = 1.4 kpc are derived for the stellar disk. The H I distribution reaches a diameter of 12 arcmin, more than two times the optical diameter. The velocity field reveals a strong warp. The position angle is shown to vary from 45-degrees to 55-degrees in the outer parts, while the inclination is fairly constant at 52-degrees. The rotation curve, derived from this velocity field, reaches a maximum velocity of approximately 90 km s-1, extending out to 7 optical scale lengths. Combining the optical and kinematical data, mass models for NGC 5585 were built using both the "best-fit" and the "maximum-disk" approaches. For both models, the dark-halo component is by far the main contributor to the rotation curve and its basic parameters are fairly well constrained with a core radius r(c) = 3.0 +/- 0.2 kpc and a central density rho-0 = 0.054 +/- 0.006 M . pc-3. At the last observed point (r = 9.65 kpc), approximately 90% of the total mass is dark. Even the gaseous component is dynamically more important than the stellar disk component. In fact, despite being a fairly bright system with M(T)0(B) = -17.5, NGC 5585 is similar to many fainter dwarf systems where the stellar disk is clearly not self-gravitating even in the inner parts.
Affordances from Human Videos as a Versatile Representation for Robotics

Building a robot that can understand and learn to interact by watching humans has inspired several vision problems. However, despite some successful results on static datasets, it remains unclear how current models can be used on a robot directly. In this paper, we aim to bridge this gap by leveraging videos of human interactions in an environment centric manner. Utilizing internet videos of human behavior, we train a visual affordance model that estimates where and how in the scene a human is likely to interact. The structure of these behavioral affordances directly enables the robot to perform many complex tasks. We show how to seamlessly integrate our affordance model with four robot learning paradigms including offline imitation learning, exploration, goal-conditioned learning, and action parameterization for reinforcement learning. We show the efficacy of our approach, which we call Vision-Robotics Bridge (VRB) across 4 real world environments, over 10 different tasks, and 2 robotic platforms operating in the wild.
Leveraging sparse and shared feature activations for disentangled representation learning

Recovering the latent factors of variation of high dimensional data has so far focused on simple synthetic settings. Mostly building on unsupervised and weakly-supervised objectives, prior work missed out on the positive implications for representation learning on real world data. In this work, we propose to leverage knowledge extracted from a diversified set of supervised tasks to learn a common disentangled representation. Assuming each supervised task only depends on an unknown subset of the factors of variation, we disentangle the feature space of a supervised multi-task model, with features activating sparsely across different tasks and information being shared as appropriate. Importantly, we never directly observe the factors of variations but establish that access to multiple tasks is sufficient for identifiability under sufficiency and minimality assumptions. We validate our approach on six real world distribution shift benchmarks, and different data modalities (images, text), demonstrating how disentangled representations can be transferred to real settings.
Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

Data storytelling plays an important role in data workers' daily jobs since it boosts team collaboration and public communication. However, to make an appealing data story, data workers spend tremendous efforts on various tasks, including outlining and styling the story. Recently, a growing research trend has been exploring how to assist data storytelling with advanced artificial intelligence (AI). However, existing studies may focus on individual tasks in the workflow of data storytelling and do not reveal a complete picture of humans' preference for collaborating with AI. To better understand real-world needs, we interviewed eighteen data workers from both industry and academia to learn where and how they would like to collaborate with AI. Surprisingly, though the participants showed excitement about collaborating with AI, many of them also expressed reluctance and pointed out nuanced reasons. Based on their responses, we first characterize stages and tasks in the practical data storytelling workflows and the desired roles of AI. Then the preferred collaboration patterns in different tasks are identified. Next, we summarize the interviewees' reasons why and why not they would like to collaborate with AI. Finally, we provide suggestions for human-AI collaborative data storytelling to hopefully shed light on future related research.
Towards convergence to Nash equilibria in two-team zero-sum games

Contemporary applications of machine learning in two-team e-sports and the superior expressivity of multi-agent generative adversarial networks raise important and overlooked theoretical questions regarding optimization in two-team games. Formally, two-team zero-sum games are defined as multi-player games where players are split into two competing sets of agents, each experiencing a utility identical to that of their teammates and opposite to that of the opposing team. We focus on the solution concept of Nash equilibria (NE). We first show that computing NE for this class of games is $\textit{hard}$ for the complexity class ${\mathrm{CLS}}$. To further examine the capabilities of online learning algorithms in games with full-information feedback, we propose a benchmark of a simple -- yet nontrivial -- family of such games. These games do not enjoy the properties used to prove convergence for relevant algorithms. In particular, we use a dynamical systems perspective to demonstrate that gradient descent-ascent, its optimistic variant, optimistic multiplicative weights update, and extra gradient fail to converge (even locally) to a Nash equilibrium. On a brighter note, we propose a first-order method that leverages control theory techniques and under some conditions enjoys last-iterate local convergence to a Nash equilibrium. We also believe our proposed method is of independent interest for general min-max optimization.
Critical lines and ordered phases in a Rydberg-blockade ladder

Arrays of Rydberg atoms in the blockade regime realize a wealth of strongly correlated quantum physics, but theoretical analysis beyond the chain is rather difficult. Here we study a tractable model of Rydberg-blockade atoms on the square ladder with a $\mathbb{Z}_2 \times \mathbb{Z}_2$ symmetry and at most one excited atom per square. We find $D_4$, $\mathbb{Z}_2$ and $\mathbb{Z}_3$ density-wave phases separated by critical and first-order quantum phase transitions. A non-invertible remnant of $U(1)$ symmetry applies to our full three-parameter space of couplings, and its presence results in a larger critical region as well as two distinct $\mathbb{Z}_3$-broken phases. Along an integrable line of couplings, the model exhibits a self-duality that is spontaneously broken along a first-order transition. Aided by numerical results, perturbation theory and conformal field theory, we also find critical Ising$^2$ and three-state Potts transitions, and provide good evidence that the latter can be chiral.
Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Large Language Models (LLMs), such as ChatGPT and GPT-4, have dramatically transformed natural language processing research and shown promising strides towards Artificial General Intelligence (AGI). Nonetheless, the high costs associated with training and deploying LLMs present substantial obstacles to transparent, accessible academic research. While several large language models, such as LLaMA, have been open-sourced by the community, these predominantly focus on English corpora, limiting their usefulness for other languages. In this paper, we propose a method to augment LLaMA with capabilities for understanding and generating Chinese text and its ability to follow instructions. We achieve this by extending LLaMA's existing vocabulary with an additional 20,000 Chinese tokens, thereby improving its encoding efficiency and semantic understanding of Chinese. We further incorporate secondary pre-training using Chinese data and fine-tune the model with Chinese instruction datasets, significantly enhancing the model's ability to comprehend and execute instructions. Our experimental results indicate that the newly proposed model markedly enhances the original LLaMA's proficiency in understanding and generating Chinese content. Additionally, the results on the C-Eval dataset yield competitive performance among the models with several times the size of ours. We have made our pre-trained models, training scripts, and other resources available through GitHub, fostering open research for our community. Chinese LLaMA series: \url{https://github.com/ymcui/Chinese-LLaMA-Alpaca} and Chinese Llama-2 series: \url{https://github.com/ymcui/Chinese-LLaMA-Alpaca-2}
Benzonidazole treatment has a beneficial effect on cells infected with the Colombian strain of Trypanosoma cruzi

Benznidazole (Bz) is the recommended drug for the treatment of Chagas disease; however, its efficacy may vary according to the sensitivity of Trypanosoma cruzi strains to the drug and host immune background. The study evaluated the immune response of peripheral blood mononuclear cells (PBMC) that were infected in vitro with the Colombian strain (Col) and treated with Bz. The co‐cultures were incubated for 24 h, 5 and 10 days, where cytokine dosage was performed in the supernatant and evaluation of the cells for CD28+ and CTLA‐4+ molecules in CD4+ and CD8+ lymphocytes, and CD80+, CD86+ and HLA‐DR+ in CD14+ cells. The results showed that Col induced a strong inflammatory response, with an increase in IFN‐γ and TNF early in the infection (24 h), however, from 5 days of infection on, TNF production declined, and IL‐10 production increased, which may be associated with a control mechanism of the exacerbated inflammatory response. The Bz treatment did not significantly alter the frequencies of the phenotypes evaluated both T cell subsets and CD14+ cells. Therefore, this study reinforces the need for typing the patient's strain to guide therapy and promote individualized treatment protocols due to the heterogeneous genetic background among T. cruzi strains.
Reliability Analysis of One Unit Repairable System With Repairman Vacation

This paper considers a one unit repairable systems with single repairman va-cation. If the system fails the repair starts immediately unless the repairman is in vaca-tion time, in which case a waiting repairable time is needed. So that the system may be in one of three states: the working state, the waiting repair state and the being repaired state. By using the total probability decomposition and the tool of the Laplace trans-form, the following reliability problems are discussed: 1) the reliability, pointwise a-vailability and the stead-state availability ; 2) the expected failure number during a gi-ven (0,t] and the stead-state failure frequency. Some important reliability results such as the pointwise availability and the stead-state availability are obtained.
Assessment tools for complex post traumatic stress disorder: a systematic review

Abstract Appropriate screening tools are required to accurately detect complex post traumatic stress disorder (CPTSD). This systematic review aimed to assess and compare measurement tools. A literature search using key words ‘complex post traumatic stress disorder’, ‘PTSD’, and ‘assessment’ was undertaken on Embase and PsychINFO during February 2022 by two reviewers. Inclusion criteria included full text papers between 2002–2022 which evaluated CPTSD using assessment tools. Exclusion criteria included reviews, editorials, meta-analyses, or conference abstracts. Twenty-two papers met selection criteria. Thirteen studies used the International Trauma Questionnaire (ITQ). Two studies each evaluated CPTSD with the International Trauma Interview (ITI) or Symptoms of Trauma Scale (SOTS). The Developmental Trauma Inventory (DTI), Cameron Complex Trauma Interview (CCTI), Complex PTSD Item Set additional to the Clinician Administered PTSD Scale (COPISAC), Complex Trauma Questionnaire (ComplexTQ), and Scale 8 of the Minnesota Multiphasic Personality Inventory Scale (MMPI) were used by a single study each. The ITQ was the most thoroughly investigated, validated across different populations, and is a convenient questionnaire for screening within the clinical setting. Where self-report measures are inappropriate, the ITI, SOTS, and COPISAC are interview tools which detect CPTSD. However, they require further validation and should be used alongside clinical history and examination. Key Points Validated and reliable screening tools are required to accurately detect and manage complex post traumatic stress disorder (CPTSD) The International Trauma Questionnaire (ITQ) is the most thoroughly investigated, validated across different populations, and is a freely available and convenient tool for screening within clinical settings In circumstances where self-report measures are inappropriate, the ITI, SOTS, and COPISAC are interview tools which detect CPTSD, but require further validation and should be used alongside clinical history and examination Further research is needed to ensure appropriate assessment tools for the detection and diagnosis of CPTSD are available
Social determinants of health for moderate and severe periodontal disease in rural and urban populations.

OBJECTIVE We assessed the prevalence of moderate and severe periodontitis and its association with social determinants of health in rural and urban population from the State of Chiapas, in Southern Mexico. MATERIAL AND METHODS A cross-sectional population-based study was conducted in 2013 comprising people 20 years and older. The determinants were categorized as proximal (age, sex, indigenous origin, diabetes, smoking, diet), intermediate (level of schooling, occupation, medical and dental care), and structural (type of institution of health care provision, residence area). Periodontal status was assessed using the Periodontal Screening and Recording (PSR) Index. RESULTS In total, 467 persons (72.4% women; mean age 43.0 years [s.d 14.7]) participated. Of them, 76.5% lived in rural areas and 56.7% were of indigenous origin. Participants with moderate and severe periodontitis had a significantly lower toothbrushing frequency (44.1% and 44.8%, respectively), and poorer oral hygiene (90% and 90.3%, respectively) compared with people without periodontitis (29.4% for toothbrushing frequency and 74.5% for oral hygiene). Moderate periodontitis was associated with poor oral hygiene (OR=2.63) and no schooling (OR=1.86). Severe periodontitis was associated with age (OR=1.05), poor oral hygiene (OR=3.99), no schooling (OR=2.08), and the interaction term of rural area and indigenous origin (RM=5.23). CONCLUSIONS Social determinants of health play an important role in the development of periodontitis. Preventive oral health programs should thus focus on the specific social, economic, and geographical context of the population.
Adjoint-Method Retrievals of Low-Altitude Wind Fields from Single-Doppler Reflectivity Measured during Phoenix II

Abstract The simple adjoint method of Qiu and Xu is upgraded and tested with the Phoenix II data for retrieving the low-altitude winds from the movements of reflectivity patterns measured by a single-Doppler radar. The upgraded method uses an improved reflectivity advection equation that contains not only the advection terms but also the eddy diffusion terms. The test results show that (i) utilizing multiple-time-level data provides more information and, thus, increases the accuracy of the retrieval; (ii) the adjoint method can retrieve not only the time-mean (or running mean) velocity field but also the coefficients of horizontal and vertical eddy diffusion (retrieving the eddy coefficients improves the velocity retrieval); (iii) the retrieval is improved by judiciously setting the weights in the cost function and by spatial noise-filtering and temporal interpolation of the data; (iv) the retrieval is further improved when the observed radial wind (along the radar beam) is used.
Using social media listening to understand barriers to genomic medicine for those living with Ehlers–Danlos syndromes and hypermobility spectrum disorders

Technological improvements alone have not led to the integration of genomic medicine across a broad range of diseases and populations. For genomic medicine to be successfully implemented across specialties and conditions, the challenges patients and caregivers experience need to be identified using a multi‐faceted understanding of the context in which these obstacles occur and how they are experienced. Individuals affected by rare conditions, like Ehlers–Danlos syndromes (EDS) and hypermobility spectrum disorders (HSD), express numerous challenges with accessing genomic medicine. Many patients living with rare diseases seek information and find comfort in online health communities.
Skewness premium with Lévy processes

We study the skewness premium (SK) introduced by Bates [J. Finance, 1991, 46(3), 1009–1044] in a general context using Lévy processes. Under a symmetry condition, Fajardo and Mordecki [Quant. Finance, 2006, 6(3), 219–227] obtained that SK is given by Bates' x% rule. In this paper, we study SK in the absence of that symmetry condition. More exactly, we derive sufficient conditions for the excess of SK to be positive or negative, in terms of the characteristic triplet of the Lévy process under a risk-neutral measure.
Enhancement of phytoextraction efficiency coupling Pteris vittata with low-dose biochar in arsenic-contaminated soil

Abstract Phytoremediation of arsenic (As) by Pteris vittata (P. vittata) is a cost-effective and environmentally friendly method for restoring As-contaminated sites. However, the phytoextraction efficiency is low in some cases, such as clay soil, thus biochar was applied to enhance the efficiency of As extraction. The paper investigated the effect of biochar on soil characteristic, As mobility, and As uptake in P. vittata with a 90-day greenhouse experiment. Biochar derived from rice straw was added at rates of 0.5, 1.5, and 4% (w/w). The results showed that, under biochar amendment, soil pH raised from 5.24 to 6.03 and 4.91 to 5.85, soil dissolved organic carbon (DOC) increased 11.1–46.1% and 2.8–11.2%, respectively, in rhizosphere and bulk soils. Biochar also increased soil catalase (CAT) activity significantly, especially for the rhizosphere soil. Besides, biochar increased the labile As in the soils and transfer coefficient from roots to aboveground, thereby enhancing As accumulation by P. vittata tissues. The accumulation of As in fronds of P. vittata was up to 350 mg kg−1 in 1.5% biochar, which was more than twice the control and far beyond other biochar treatments. The results indicate that biochar addition is favorable to improve phytoremediation of P. vittata in As-contaminated soil and 1.5% (w/w) biochar may be a reasonable application ratio, thus providing an effective solution to enhance the efficiency of As phytoextraction. NOVELTY STATEMENT Biochar increased soil catalase activity in the rhizosphere of P. vittata. Biochar increased the labile concentration of arsenic in soil and arsenic accumulation in P. vittata significantly. Combining biochar and P. vittata reduced arsenic in soil. Biochar amendment was favorable for phytoremediation of P. vittata in arsenic-contaminated soil.
Vitamin D status among residents of Molidawa Daur Autonomous Banner, Inner Mongolia, North China

Objectives: To retrospectively analyze the vitamin D (VD) status of residents in northeastern Inner Mongolia and its relationship with the average monthly sunshine hours. Methods: Serum 25-hydroxyvitamin D[s-25(OH)D] samples from 4982 outpatients (2092 males) in Moli Dawa Daur Autonomous Banner People’s Hospital, Hulunbuir, China from July 2018 to January 2022 were included in this study. Results: The overall median s-25(OH)D was 53.3 nmol/L, VD deficiency (<30 nmol/L), deficiency (30-50 nmol/L), sufficient (>50-250 nmol/L) and excess (>250 nmol/L) were 16% (796/4982), 30% (1495/4982), 53.4% (2658/4982) and 0.7% (33/4982). There were statistically significant differences in median s-25(OH)D by month, age-groups and gender (p<0.001). Low VD status (LVDS, including VD deficiency and insufficiency) in females was 54.6% and males was 33.9%, and the LVDS composition differed significantly by age-group and month (p<0.05). The changing trend of the median s-25(OH)D level was similar to the monthly average sunshine hours, with a slight lag. Conclusion: Nearly half of residents live in LVDS. LVDS is affected by month, gender, and age.
Demographic and clinical profile of patients with chronic rhinosinusitis in Saudi Arabia

Objectives: To determine the clinical features of patients with chronic rhinosinusitis at a tertiary hospital in Riyadh, Saudi Arabia. Methods: A cross-sectional study was carried out at King Abdulaziz University Hospital, Riyadh, Saudi Arabia. We enrolled 660 male and female participants with medical records indicating a history of chronic rhinosinusitis between 2021 and 2022. Quantitative and descriptive analyses of age, gender, nationality, presence of polyps, aspirin sensitivity, presence of urticaria, asthma, and allergies were performed. Results: Of the 660 enrolled patients, 60% (n=396) were male and 40% (n=264) were female. Additionally, 67.7% (447) had nasal polyps, 32% had a history of asthma, 10% had hypersensitivity to aspirin, 1.4% reported a history of urticaria, 9.7% reported allergies to medications, 7.9% reported food allergies, 26% reported multiple allergies, and 1.8% reported environmental allergies. Conclusion: Our study revealed the following: Samter’s triad was present in 6.9% of participants with chronic rhinosinusitis; the greatest prevalence of chronic rhinosinusitis with nasal polyps was observed among those older than 50 years. The prevalence of urticaria was not significantly different among groups; a higher rate of environmental allergies was observed among those with CRSwNP than among those without nasal polyps; and a higher prevalence of aspirin hypersensitivity was observed among those with CRSwNP than among non-polyps group.