Miracle-dz/UniFAR-FTUs huggingface dataset:
Limit cycles turn active matter into robots

Active matter composed of energy-generating microscopic constituents is a promising platform to create autonomous functional materials. However, the very presence of these microscopic energy sources is what makes active matter prone to dynamical instabilities and hence hard to control. Here, we show that these instabilities can be coaxed into work-generating limit cycles that turn active matter into robots. We illustrate this general principle in odd active media, model systems whose interaction forces are as simple as textbook molecular bonds yet not constrained to be the gradient of a potential. These emergent robotic functionalities are demonstrated by revisiting what is arguably the oldest of inventions: the wheel. Unlike common wheels that are driven by external torques, an odd wheel undergoes work-generating limit cycles that allow it to roll autonomously uphill by virtue of its own deformation, as demonstrated by our prototypes. Similarly, familiar scattering phenomena, like a ball bouncing off a wall, turn into basic robotic manipulations when either the ball or the wall is odd. Using continuum mechanics, we reveal collective robotic mechanisms that steer the outcome of collisions or influence the absorption of impacts in experiments. Beyond robotics, work-generating limit cycles can also control the non-linear dynamics of active soft materials, biological systems and driven nanomechanical devices.
ADVERT: An Adaptive and Data-Driven Attention Enhancement Mechanism for Phishing Prevention

Attacks exploiting the <italic>innate</italic> and the <italic>acquired</italic> vulnerabilities of human users have posed severe threats to cybersecurity. This work proposes ADVERT, a <italic>human-technical solution</italic> that generates adaptive visual aids in real-time to prevent users from inadvertence and reduce their susceptibility to phishing attacks. Based on the eye-tracking data, we extract <italic>visual states</italic> and <italic>attention states</italic> as system-level sufficient statistics to characterize the user’s visual behaviors and attention status. By adopting a data-driven approach and two learning feedback of different time scales, this work lays out a theoretical foundation to <italic>analyze</italic>, <italic>evaluate</italic>, and particularly <italic>modify</italic> humans’ attention processes while they vet and recognize phishing emails. We corroborate the <italic>effectiveness</italic>, <italic>efficiency</italic>, and <italic>robustness</italic> of ADVERT through a case study based on the data set collected from human subject experiments conducted at New York University. The results show that the visual aids can statistically increase the attention level and improve the accuracy of phishing recognition from 74.6% to a minimum of 86%. The meta-adaptation can further improve the accuracy to 91.5% (resp. 93.7%) in less than 3 (resp. 50) tuning stages.
DNA topology dictates emergent bulk elasticity and hindered macromolecular diffusion in DNA-dextran composites

Polymer architecture plays critical roles in both bulk rheological properties and microscale macromolecular dynamics in entangled polymer solutions and composites. Ring polymers, in particular, have been the topic of much debate due to the inability of the celebrated reptation model to capture their observed dynamics. Macrorheology and differential dynamic microscopy (DDM) are powerful methods to determine entangled polymer dynamics across scales; yet, they typically require different samples under different conditions, preventing direct coupling of bulk rheological properties to the underlying macromolecular dynamics. Here, we perform macrorheology on composites of highly overlapping DNA and dextran polymers, focusing on the role of DNA topology (rings versus linear chains) as well as the relative volume fractions of DNA and dextran. On the same samples under the same conditions, we perform DDM and single-molecule tracking on embedded fluorescent-labeled DNA molecules immediately before and after bulk measurements. We show DNA-dextran composites exhibit unexpected nonmonotonic dependences of bulk viscoelasticity and molecular-level transport properties on the fraction of DNA comprising the composites, with characteristics that are strongly dependent on the DNA topology. We rationalize our results as arising from stretching and bundling of linear DNA versus compaction, swelling, and threading of rings driven by dextran-mediated depletion interactions.
A new stem-varanid lizard (Reptilia, Squamata) from the early Eocene of China

Monitor lizards (genus Varanus) are today distributed across Asia, Africa and Australasia and represent one of the most recognizable and successful lizard lineages. They include charismatic living species like the Komodo dragon of Indonesia and the even larger extinct Varanus prisca (Megalania) of Australia. The fossil record suggests that living varanids had their origins in a diverse assemblage of stem (varaniform) species known from the Late Cretaceous of China and Mongolia. However, determining the biogeographic origins of crown-varanids has proved problematic, with Asia, Africa and Australia each being proposed. The problem is complicated by the fragmentary nature of many attributed specimens, and the fact that the most widely accepted, and most complete, fossil of a stem-varanid, that of Saniwa ensidens, is from North America. In this paper, we describe a well-preserved skull and skeleton of a new genus of stem-varanid from the Eocene of China. Phylogenetic analysis places the new genus as the sister taxon of Varanus, suggesting that the transition from Cretaceous varaniform lizards to Varanus occurred in East Asia before the origin and dispersal of Varanus to other regions. The discovery of the new specimen thus fills an important gap in the fossil record of monitor lizards. The similar lengths of the fore- and hindlimbs in this new taxon are unusual among the total group Varanidae and suggest it may have had a different lifestyle, at least from the contemporaneous North American S. ensidens. This article is part of the theme issue ‘The impact of Chinese palaeontology on evolutionary research’.
Structure relations in the family of the solid solution Hf x Zr1−x O2

Abstract Hafnium Zirconium Oxide Hf x Zr1−x O2 is a potentially ferroelectric material with great perspectives in semiconductor applications, due to its compatibility with silicon technologies and its low toxicity. Despite its chemical simplicity, the solid solution Hf x Zr1−x O2 comprises a large variety of different phases. We compiled a complete list of experimentally and theoretically reported Hf x Zr1−x O2 structures. All of them are symmetrically related to the common aristotype with Fluorite type structure. The symmetry relationships between those structures have been determined and are presented in a Bärnighausen-like tree. Interestingly, not all symmetry reductions follow the conventional group-subgroup relations and involve severe atomic shifts. Further, the structures were compared to each other in detail regarding the dimensionality of atomic shifts and the accompanied lattice distortions. Finally, the information provided by the Bärnighausen-like tree was used to transform the indices of a reflection before and after a phase transition. This conversion allows the study of (dis)appearing reflections during phase transitions.
Welfare State and Neo-Liberalism: Conceptual and Practical Gaps Regarding the Issue of Poverty between the Governmental, Third and Business Sectors

ABSTRACT The study compares aspects of the welfare state with neo–liberalism in regard to coping with poverty in the governmental sector; the third sector businesses that assume social responsibility (SR), and those that do not. The study was conducted by means of a structured questionnaire distributed among 154 workers within these sectors. The findings identified differences between these sectors and indicated that although the three sectors supported the concept of the welfare state to a great degree, they would prefer to implement neo-liberal principles. The theoretical and practical meaning of these findings are discussed and elaborated in this paper.
The primary care behavioral health model (PCBH) and medication for opioid use disorder (MOUD): Integrated models for primary care

ABSTRACT Recent decades have witnessed increases in (a) integrated physical and behavioral health services and (b) the treatment of opioid use disorders (OUD) in primary care settings – also known as office-based opioid treatments (OBOT) – using a combination of medication and psychosocial support. Providing these services requires a workforce trained to address addiction’s psychosocial components and interventions addressing addiction’s biological and neurological mechanisms. This paper examines the implementation factors, clinic workflow and roles, and administrative considerations of two models of integrated care in order to identify ways of increasing treatment capacity and expanding OUD treatment uptake in integrated primary care settings.
Cultural differences in social communication and interaction: A gap in autism research

Social communication and interaction deficits are a diagnostic criteria of autism and integral to practitioner and researcher conceptualization. Culture is an influential factor in expectations for, and demonstration of, social communication and interaction skills, but there is limited research published in autism journals on this topic. This paucity of autism research examining cultural factors related to social communication and interaction may contribute to known identification disparities for racial and ethnic populations minoritized by systemic factors and research bias. We call for increased commitment from researchers to recruit racially and ethnically minoritized participants, prioritize investigating cultural expectations and perceptions of social communication and interaction, and evaluate measures related to social communication for cultural and linguistic responsivity.
Msi2‐mediated MiR7a‐1 processing repression promotes myogenesis

Most of the microRNAs (MiRs) involved in myogenesis are transcriptional regulated. The role of MiR biogenesis in myogenesis has not been characterized yet. RNA‐binding protein Musashi 2 (Msi2) is considered to be one of the major drivers for oncogenesis and stem cell proliferation. The functions of Msi2 in myogenesis have not been explored yet. We sought to investigate Msi2‐regulated biogenesis of MiRs in myogenesis and muscle stem cell (MuSC) ageing.
Autism epidemiology: distinguishing between identification and prevalence

wchh.onlinelibrary. wiley.com 4 I Progress in Neurology and Psychiatry I Vol. 26 Iss. 1 2022 Autism (referred to as ‘autism spectrum disorder’ in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders) is a lifelong neurodevelopmental condition, characterised by difficulties in social communication and social interaction, and restricted, repetitive behaviours, interests or activities.1 Prevalence refers to the proportion of individuals in a population who have a specific condition or characteristic at a specific time (point prevalence) or time period (period prevalence). 2 Reliably estimating autism prevalence is essential to estimate need and allocation of health and social care resources. Similarly, identifying autism on an individual level is important, as late-diagnosed autistic persons describe receiving their diagnosis as life-changing, enabling access to valuable forms of support.3 This article discusses different approaches to case ascertainment employed in autism prevalence studies, and their merits and disadvantages. Though this paper pertains to autism epidemiology, it is important to acknowledge that many of the underlying principles were developed outside of autism research.
Specific IgE and IgG4 Profiles of House Dust Mite Components in Allergen-Specific Immunotherapy

Background Allergen immunotherapy (AIT) can induce immune tolerance to allergens by activating multiple mechanisms, including promoting IgG4 synthesis and blunting IgE production. However, the longitudinal data of sIgE and sIgG4 to allergen components during AIT are limited. Objective We sought to investigate the persistence and evolution of sIgE and sIgG4 against house dust mite (HDM) components during AIT and explore their correlation with clinical responses. Methods Sixty allergic rhinitis (AR) with/without asthma patients receiving AIT for HDM were enrolled in AIT group. Thirty AR patients without receiving AIT served as control group. Blood samples were collected for sIgE, sIgG4 to HDM components (Derp 1, Derf 1, Derp 2, Derf 2, Derp 7, Derp 10, Derp 21 and Derp 23) assay at baseline, Month 6 and Month 18 of AIT. Combined symptom and medication scores (CSMS) were obtained accordingly. Results In the AIT group, sIgG4 to the HDM components of Derp 1, Derf 1, Derp 2 and Derf 2, Derp 21 significantly increased at Month 18 compared to the baseline (36.2 UA/mL vs 158.8 UA/mL, 46.4 UA/mL vs 94.6 UA/mL, 80.5 UA/mL vs 152.3 UA/mL, 78.3 UA/mL vs 205.1 UA/mL, 42.3 UA/mL vs 59.3 UA/mL, all p<0.05), sIgE to HDM components didn’t see differences at baseline and at Month 18 (all p>0.05). The numbers of positive HDM component sIgE and sIgG4 increased from 4.5 to 5 and 0 to 1.5 respectively (both p<0.05). However, the changes of sIgE, sIgG4, sIgE/sIgG4 ratio and the numbers of positive HDM components had no correlations with the improvement of CSMS after AIT (all ρ<0.3). For the control group, the sIgE and sIgG4 did not change significantly during the observational period (all p>0.05). Conclusion AIT can induce the production of sIgG4 to HDM components. However, the increased sIgG4 levels of HDM component do not correlate with the corresponding sIgE levels at baseline or with AIT response. sIgG4 to HDM components do not qualify as a biomarker to evaluate the efficacy of AIT.
Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer

Objective To develop and validate a radiomics nomogram based on pre-treatment, early treatment ultrasound (US) radiomics features combined with clinical characteristics for early prediction of response to neoadjuvant chemotherapy (NAC) in breast cancer. Method A total of 217 patients with histological results of breast cancer receiving four to eight cycles of NAC before surgery from January 2018 to December 2020 were enrolled. Patients from the study population were randomly separated into a training set (n = 152) and a validation set (n = 65) at a ratio of 7:3. A total of 788 radiomics features were extracted from each region of interest in the US image at pre-treatment baseline (radiomic signature, RS1), early treatment (after completion of two cycles of NAC, RS2) and delta radiomics (calculated between the pre-treatment and post-treatment features, Delta RS). The Max-Relevance and Min-Redundancy (mRMR) and the least absolute shrinkage and selection operator (LASSO) regression were applied for feature selection. The predictive nomogram was built based on the radiomics signature combined with clinicopathological risk factors. Discrimination, calibration, and prediction performance were further evaluated in the validation set. Results Of the 217 breast masses, 127 (58.5%) were responsive to NAC and 90 (41.5%) were non-responsive. Following feature selection, nine features in RS1, 11 features in RS2, and eight features in Delta RS remained. With multivariate analysis, the RS1, RS2, Delta RS, and Ki-67 expression were independently associated with breast NAC response. However, the performance of the Delta RS (AUC Delta RS = 0.743) was not higher than RS1 (AUC RS1 = 0.722, PDelta vs RS1 = 0.086) and RS2 (AUC RS2 = 0.811, PDelta vs RS2 = 0.173) with the Delong test. The nomogram incorporating RS1, RS2, and Ki-67 expression showed better predictive ability for NAC response with an area under the curve (AUC) of 0.866 in validation cohorts than either the single RS1 (AUC 0.725) or RS2 (AUC 0.793) or Ki-67 (AUC 0.643). Conclusion The nomogram incorporating pre-treatment and early-treatment US radiomics features and Ki-67 expression showed good performance in terms of NAC response in breast cancer, thereby providing valuable information for individual treatment and timely adjustment of chemotherapy regimens.
Assessment of Eyelid Pressure Using a Novel Pressure Measurement Device in Patients With Moderate-to-Severe Dry Eye Disease

Objective To assess a novel eyelid pressure measurement device and study the relationship between eyelid pressure and ocular surface parameters of moderate-to-severe dry eye disease (DED). Methods The present study included 70 eyes of 35 moderate-to-severe DED patients. All subjects were subjected to the following examinations for DED assessment: Ocular Surface Disease Index (OSDI) questionnaire, tear meniscus height (TMH), lipid layer thickness (LLT), number of partial blink (PB), total blink (TB) and partial blink rate (PBR), fluorescein tear breakup time (FBUT), corneal fluorescein staining (CFS), lid margin abnormality, meibum expression assessment (meibum score), meibomian gland dropout (MGd) and Schirmer I test. Pressure of the upper eyelid was measured thrice with the novel pressure measurement device. Repeatability of the device was evaluated by intraclass correlation coefficient (ICC). Safety of the device was evaluated by observing ocular adverse reactions of each subject prior to measurement, at day 1 and day 7 following measurement. Correlations between eyelid pressure and ocular surface parameters of moderate-to-severe DED were analyzed by using Pearson correlation coefficient and Kendall's tau-b correlation coefficient. Results ICC of the measurement results in our study was 0.86. There was no abnormality presenting in all subjects recorded prior to measurement, 1 and 7 days following measurement. The eyelid pressure was significantly correlated with PBR (r = 0.286, P = 0.016), FBUT (r = −0.331, P = 0.005), CFS (r = 0.528, P = 0.000), lid margin abnormality (r = 0.408, P = 0.011) and MGd (r = 0.226, P = 0.016) in moderate-to-severe DED patients, but not significantly correlated with OSDI score (r = 0.016, P = 0.912), TMH (r = −0.002, P = 0.988), meibum score (r = −0.196, P = 0.317), LLT (r = 0.114, P = 0.346), PB (r = 0.116, P = 0.338), TB (r = 0.074, P = 0.544), meibum score (r = −0.196, P = 0.317) and Schirmer I test (r = 0.028, P = 0.821). Conclusion The novel pressure measurement device exhibited good repeatability and safety in measuring eyelid pressure. Significant correlations were noted between the eyelid pressure and PBR, FBUT, CFS, lid margin abnormality and MGd in moderate-to-severe DED. The measurement of eyelid pressure combined with ocular surface parameters may be valuable for the assessment of DED.
Feature Extraction of Lateral Damper Performance Degradation of High-speed Trains

Lateral dampers are important components in the bogies of high- speed trains. Assessment of the performance degradation of the lateral dampers is very helpful for active maintenance of equipment. In this paper, the empirical mode cross- correlation method(EMCC) was developed based on Ensemble Empirical Mode Decomposition(EEMD), and the EMCC coefficient was defined to describe the cross- correlation between any two signals in the time domain. The proposed method was applied to extract and analyze the feature of vibration signals of the lateral damper performance degradation(from 90 % to 10 %) of high-speed train bogies. The lateral damper performance degradation were divided into four degeneration intervals, the average precision was 95.2 %. Thus, quantitative degradation assessment of sample data was realized. And the feasibility and validity of this method was verified.
The Effect of Brain–Computer Interface Training on Rehabilitation of Upper Limb Dysfunction After Stroke: A Meta-Analysis of Randomized Controlled Trials

Background Upper limb motor dysfunction caused by stroke greatly affects the daily life of patients, significantly reduces their quality of life, and places serious burdens on society. As an emerging rehabilitation training method, brain–computer interface (BCI)–based training can provide closed-loop rehabilitation and is currently being applied to the restoration of upper limb function following stroke. However, because of the differences in the type of experimental clinical research, the quality of the literature varies greatly, and debate around the efficacy of BCI for the rehabilitation of upper limb dysfunction after stroke has continued. Objective We aimed to provide medical evidence-based support for BCI in the treatment of upper limb dysfunction after stroke by conducting a meta-analysis of relevant clinical studies. Methods The search terms used to retrieve related articles included “brain-computer interface,” “stroke,” and “upper extremity. ” A total of 13 randomized controlled trials involving 258 participants were retrieved from five databases (PubMed, Cochrane Library, Science Direct, MEDLINE, and Web of Science), and RevMan 5.3 was used for data analysis. Results The total effect size for BCI training on upper limb motor function of post-stroke patients was 0.56 (95% CI: 0.29–0.83). Subgroup analysis indicated that the standard mean differences of BCI training on upper limb motor function of subacute stroke patients and chronic stroke patients were 1.10 (95% CI: 0.20–2.01) and 0.51 (95% CI: 0.09–0.92), respectively (p = 0.24). Conclusion Brain–computer interface training was shown to be effective in promoting upper limb motor function recovery in post-stroke patients, and the effect size was moderate.
T Cell Receptor Repertoire Analysis Reveals Signatures of T Cell Responses to Human Mycobacterium tuberculosis

Characterization of T cell receptor (TCR) repertoires is essential for understanding the mechanisms of Mycobacterium tuberculosis (Mtb) infection involving T cell adaptive immunity. The characteristics of TCR sequences and distinctive signatures of T cell subsets in tuberculous patients are still unclear. By combining single-cell TCR sequencing (sc-TCR seq) with single-cell RNA sequencing (sc-RNA seq) and flow cytometry to characterize T cells in tuberculous pleural effusions (TPEs), we identified 41,718 CD3+ T cells in TPEs and paired blood samples, including 30,515 CD4+ T cells and 11,203 CD8+ T cells. Compared with controls, no differences in length and profile of length distribution were observed in complementarity determining region 3 (CDR3) in both CD4+ and CD8+ T cells in TPE. Altered hydrophobicity was demonstrated in CDR3 in CD8+ T cells and a significant imbalance in the TCR usage pattern of T cells with preferential expression of TRBV4-1 in TPE. A significant increase in clonality was observed in TCR repertoires in CD4+ T cells, but not in CD8+ T cells, although both enriched CD4+ and CD8+ T cells showed TH1 and cytotoxic signatures. Furthermore, we identified a new subset of polyfunctional CD4+ T cells with CD1-restricted, TH1, and cytotoxic characteristics, and this subset might provide protective immunity against Mtb.
The Neuroimmunology of Multiple Sclerosis: Fictions and Facts

There have been tremendous advances in the neuroimmunology of multiple sclerosis over the past five decades, which have led to improved diagnosis and therapy in the clinic. However, further advances must take into account an understanding of some of the complex issues in the field, particularly an appreciation of “facts” and “fiction. ” Not surprisingly given the incredible complexity of both the nervous and immune systems, our understanding of the basic biology of the disease is very incomplete. This lack of understanding has led to many controversies in the field. This review identifies some of these controversies and facts/fictions with relation to the basic neuroimmunology of the disease (cells and molecules), and important clinical issues. Fortunately, the field is in a healthy transition from excessive reliance on animal models to a broader understanding of the disease in humans, which will likely lead to many improved treatments especially of the neurodegeneration in multiple sclerosis (MS).