Miracle-dz/UniFAR-FTUs huggingface dataset:
Sanitization of Visual Multimedia Content: A Survey of Techniques, Attacks, and Future Directions

The exploding rate of multimedia publishing in our networked society has magnified the risk of sensitive information leakage and misuse, pushing the need to secure data against possible exposure. Data sanitization -- the process of obfuscating or removing sensitive content related to the data -- helps to mitigate the severe impact of potential security and privacy risks. This paper presents a review of the mechanisms designed for protecting digital visual contents (i.e., images and videos), the attacks against the cited mechanisms, and possible countermeasures. The provided thorough systematization, alongside the discussed challenges and research directions, can pave the way to new research.
Supplemental Material for : On A Mallows-type Model For ( Ranked ) Choices A Characterizing the Choice Probability ( Theorem 1 )

We note that on the one hand, w ∝ λ. On the other hand, it is unclear in priori whether w(·) is the probability mass function since one needs to verify that w(·) is equipped with the right normalizing constant. We will first prove that w(πk) can also be written as w (πk) = qkk · ψ(n−k,q) ψ(n,q) . Then we will show that for every k ∈ [n], ∑ πk∈Σk w(πk) = 1. In other words, w(·) = λ(·). Step 1. Recall that for every πk ∈ Σk, d(πk) = ∑k−1 i=1 I{πk(i) > πk(i+ 1)}(n− i) and L (πk) := | {x ∈ R(πk) : x < πk(k)} |. We prove from (7) that w (πk) = q d(πk)+L(πk) · ψ(n− k, q) ψ(n, q)
Vector Field-based Collision Avoidance for Moving Obstacles with Time-Varying Elliptical Shape

: This paper presents an algorithm for local motion planning in environments populated by moving elliptical obstacles whose velocity, shape and size are fully known but may change with time. We base the algorithm on a collision avoidance vector ﬁeld (CAVF) that aims to steer an agent to a desired ﬁnal state whose motion is described by a double integrator kinematic model. In addition to handling multiple obstacles, it is applicable in bounded environments for more realistic applications (e.g., motion planning inside a building). We also incorporate a method to deal with agents whose control input is limited so that they safely navigate around the obstacles. To showcase our approach, extensive simulations results are presented in 2D and 3D scenarios.
Keyword Extraction in Scientific Documents

The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as knowledge graph building, text mining, and discipline classification. In this workshop, we provide a better understanding of keyword and keyphrase extraction from the abstract of scientific publications.
Vortex/anti-vortex pair creation in black hole thermodynamics

An isolated critical point is a peculiar thermodynamic critical point that occurs in the phase diagram of hyperbolic black holes in K th-order Lovelock gravity in higher dimensions (with K odd) for special tuned Lovelock coupling constants. It corresponds to a ‘merger’ of two swallowtails and is characterized by non-standard critical exponents. Upon employing a recent proposal for assigning a topological charge to thermodynamic critical points, we argue that the isolated critical point oﬀers an interpretation corresponding to the onset of a topological phase transition of a ‘vortex/anti-vortex pair’.
Robust Reinforcement Learning in Continuous Control Tasks with Uncertainty Set Regularization

Reinforcement learning (RL) is recognized as lacking generalization and robustness under environmental perturbations, which excessively restricts its application for real-world robotics. Prior work claimed that adding regularization to the value function is equivalent to learning a robust policy with uncertain transitions. Although the regularization-robustness transformation is appealing for its simplicity and efficiency, it is still lacking in continuous control tasks. In this paper, we propose a new regularizer named $\textbf{U}$ncertainty $\textbf{S}$et $\textbf{R}$egularizer (USR), by formulating the uncertainty set on the parameter space of the transition function. In particular, USR is flexible enough to be plugged into any existing RL framework. To deal with unknown uncertainty sets, we further propose a novel adversarial approach to generate them based on the value function. We evaluate USR on the Real-world Reinforcement Learning (RWRL) benchmark, demonstrating improvements in the robust performance for perturbed testing environments.
Asymptotic lattices, good labellings, and the rotation number for quantum integrable systems

This article introduces the notion of good labellings for asymptotic lattices in order to study joint spectra of quantum integrable systems from the point of view of inverse spectral theory. As an application, we consider a new spectral quantity for a quantum integrable system, the quantum rotation number. In the case of two degrees of freedom, we obtain a constructive algorithm for the detection of appropriate labellings for joint eigenvalues, which we use to prove that, in the semiclassical limit, the quantum rotation number can be calculated on a joint spectrum in a robust way, and converges to the well-known classical rotation number. The general results are applied to the semitoric case where formulas become particularly natural.
Clinical Status of Cardiac Rehabilitation Manners and Models

Cardiac rehabilitation, which combines cardiology and preventive medicine, is an important part of treatment for cardiovascular diseases. Systematically, cardiac rehabilitation, including simultaneously inhibiting endothelial injury and promoting endothelial repair, is beneficial for physical and mental recovery and reduces the risks of recurrence and death in patients with cardiovascular diseases. Cardiac rehabilitation has developed rapidly in the last 50 years. A preliminary system for cardiac rehabilitation has been developed in China. The present article mainly focuses on the progress of cardiac rehabilitation from the aspects of goals, measures, and modes of research in the current scenario.
Enriched Environment-Induced Neuroprotection against Cerebral Ischemia-Reperfusion Injury Might Be Mediated via Enhancing Autophagy Flux and Mitophagy Flux

Background Enriched environment (EE) can protect the brain against damages caused by an ischemic stroke; however, the underlying mechanism remains elusive. Autophagy and mitochondria quality control are instrumental in the pathogenesis of ischemic stroke. In this study, we investigated whether and how autophagy and mitochondria quality control contribute to the protective effect of EE in the acute phase of cerebral ischemia–reperfusion injury. Methods We exposed transient middle cerebral artery occlusion (tMCAO) mice to EE or standard condition (SC) for 7 days and then studied them for neurological deficits, autophagy and inflammation-related proteins, and mitochondrial morphology and function. Results Compared to tMCAO mice in the SC group, those in the EE group showed fewer neurological deficits, relatively downregulated inflammation, higher LC3 expression, higher mitochondrial Parkin levels, higher mitochondrial fission factor dynamin-related protein-1 (Drp1) levels, lower p62 expression, and lower autophagy inhibitor mTOR expression. Furthermore, we found that the EE group showed a higher number of mitophagosomes and normal mitochondria, fewer mitolysosomes, and relatively increased mitochondrial membrane potential. Conclusion These results suggested that EE enhances autophagy flux by inhibiting mTOR and enhances mitophagy flux via recruiting Drp1 and Parkin to eliminate dysfunctional mitochondria, which in turn inhibits inflammation and alleviates neurological deficits. Limitations. The specific mechanisms through which EE promotes autophagy and mitophagy and the signaling pathways that link them with inflammation need further study.
Species discrimination in Schima (Theaceae): Next‐generation super‐barcodes meet evolutionary complexity

Plastid genome and nuclear ribosomal DNA (nrDNA) arrays, proposed recently as “super‐barcodes,” might provide additional discriminatory power and overcome the limitations of traditional barcoding loci, yet super‐barcodes need to be tested for their effectiveness in more plant groups. Morphological homoplasy among Schima species makes the genus a model for testing the efficacy of super‐barcodes. In this study, we generated multiple data sets comprising standard DNA barcodes (matK, rbcL, trnH‐psbA, nrITS) and super‐barcodes (plastid genome, nrDNA arrays) across 58 individuals from 12 out of 13 species of Schima from China. No samples were correctly assigned to species using standard DNA barcodes and nrDNA arrays, while only 27.27% of species with multiple accessions were distinguished using the plastid genome and its partitioned data sets—the lowest estimated rate of super‐barcode success in the literature so far. For Schima and other taxa with similarly recently divergence and low levels of genetic variation, incomplete lineage sorting, hybridization or taxonomic oversplitting are all possible causes of the failure. Taken together, our study suggests that by no means are super‐barcodes immune to the challenges imposed by evolutionary complexity. We therefore call for developing multilocus nuclear markers for species discrimination in plant groups.
Gender Differences in Treatment Delays, Management and Mortality among Patients with Acute Coronary Syndrome: A Systematic Review and Meta-analysis

Background We aimed to provide a comprehensive overview of existing gender differences in acute coronary syndrome (ACS), with respect to treatment delays, invasive management of ACS, and short and long-term mortality in patients with ACS. Methods We defined 37 observational studies (OSs) and 21 randomized trials (RCTs) that best corresponded to our interests. OSs and RCTs were analyzed separately. Results Women with ACS more often experienced delays in treatment compared to men (OR 1.43; 95% CI, 1.12-1.82) in RCTs. Female patients were less often treated invasively: RCTs (OR 0.87; 95% CI, 0.83-0.9), OSs: (OR 0.66; 95% CI, 0.63-0.68). Women had higher crude in-hospital mortality (OR 1.56; 95% CI, 1.53-1.59) and 30-day mortality (OR 1.71; 95% CI, 1.22-2.4) in OSs and (OR 2.74; 95% CI, 2.48-3.02) in RCTs. After adjustment for multiple covariates, gender difference was attenuated: in-hospital mortality (OR 1.19; 95% CI, 1.17-1.2), 30-day mortality (OR 1.18; 95% CI, 1.12-1.24) in OSs. Unadjusted long-term mortality in women was higher than in men (OR 1.41; 95% CI, 1.31-1.52) in RCTs and (OR 1.4; 95% CI, 1.3-1.5) in OSs. Conclusion Women with ACS experience a delay in time to treatment more often than men. They are also less likely to be treated invasively. Females have shown worse crude short-and long-term all-cause mortality compared to males. However, after adjustment for multiple covariates, a less significant gender difference has been observed. Considering the difference between crude and adjusted mortality, we deem it reasonable to conduct further investigations on gender-related influence of particular risk factors on the outcomes of ACS.
Portfolio value‐at‐risk estimation for spot chartering decisions under changing trade patterns: A copula approach

Evolving geopolitical relationships between countries (especially between China and the United States) in recent years have highlighted dynamically changing trade patterns across the globe, all of which elevate risk and uncertainty for transport service providers. In order to mitigate risks, shipowners and operators must be able to estimate risks appropriately; one potentially promising method of doing so is through the value‐at‐risk (VaR) method. VaR describes the worst loss a portfolio is likely to sustain, which will not be exceeded over a target time horizon at a given level of confidence. This article proposes a copula‐based GARCH model to estimate the joint multivariate distribution, which is a key component in VaR estimation. We show that the copula model can capture the VaR more successfully, as compared with the traditional method of calculation. As an empirical study, the expected portfolio VaR is examined when a shipowner chooses among Panamax soybean trading routes under a condition of reduced trade volumes between the United States and China due to the ongoing trade turmoil. This study serves as one of the very few papers in the literature on shipping portfolio VaR analysis. The results have significant implications for shipowners regarding fleet repositioning, decision making, and risk management.
Body structure/function impairments and activity limitations of post-stroke that predict social participation: a systematic review

ABSTRACT Background Stroke is the leading cause of death and disability in Brazil, and its prognostic indicators of social reintegration are not well established yet. Objective To identify body structure/function impairments and activity limitations in post-stroke that predict social participation restrictions in the community. Methods cohort studies were selected, involving adult post-stroke participants, which investigated body structure and function impairments or activity limitations of post-stroke individuals as predictors of social participation in the community. Studies that included individuals with subarachnoid hemorrhage, other neurological disorders and participants in long-term care facilities were excluded. The Newcastle-Ottawa quality assessment scale was applied to assess the methodological quality. The results were synthesized according to the found exposures, considering the used statistical models. Results Eleven articles were included, with a total of 2,412 individuals, 58.4% men, 83.7% ischemic stroke. Seven exposures were assessed across studies, in which 10 studies assessed body structure and function exposures (stroke severity, cognitive, executive, emotional and motor function), and 8 studies assessed activity exposures (daily living activity and walking ability). Conclusion There is some evidence that stroke severity, mental and motor deficits, limitations in activities of daily living and the ability to walk after a stroke can predict social participation in the community. PROSPERO registration CRD42020177591.
Astrocytes and pericytes attenuate severely injured patient plasma mediated expression of tight junction proteins in endothelial cells

Blood Brain Barrier (BBB) breakdown is a secondary form of brain injury which has yet to be fully elucidated mechanistically. Existing research suggests that breakdown of tight junction proteins between endothelial cells is a primary driver of increased BBB permeability following injury, and intercellular signaling between primary cells of the neurovascular unit: endothelial cells, astrocytes, and pericytes; contribute to tight junction restoration. To expound upon this body of research, we analyzed the effects of severely injured patient plasma on each of the cell types in monoculture and together in a triculture model for the transcriptional and translational expression of the tight junction proteins Claudins 3 and 5, (CLDN3, CLDN5) and Zona Occludens 1 (ZO-1). Conditioned media transfer studies were performed to illuminate the cell type responsible for differential tight junction expression. Our data show that incubation with 5% human ex vivo severely injured patient plasma is sufficient to produce a differential response in endothelial cell tight junction mRNA and protein expression. Endothelial cells in monoculture produced a significant increase of CLDN3 and CLDN5 mRNA expression, (3.98 and 3.51 fold increase vs. control respectively, p<0.01) and CLDN5 protein expression, (2.58 fold change vs. control, p<0.01), whereas in triculture, this increase was attenuated. Our triculture model and conditioned media experiments suggest that conditioned media from astrocytes and pericytes and a triculture of astrocytes, pericytes and endothelial cells are sufficient in attenuating the transcriptional increases of tight junction proteins CLDN3 and CLDN5 observed in endothelial monocultures following incubation with severely injured trauma plasma. This data suggests that inhibitory molecular signals from astrocytes and pericytes contributes to prolonged BBB breakdown following injury via tight junction transcriptional and translational downregulation of CLDN5.
TOR kinase, a GPS in the complex nutrient and hormonal signaling networks to guide plant growth and development.

To survive and sustain growth, sessile plants have developed sophisticated internal signalling networks that respond to various external and internal cues. Despite the central roles of nutrient and hormone signaling in plant growth and development, how hormone-driven processes coordinate with metabolic status remains largely enigmatic. Target of rapamycin (TOR) kinase is an evolutionarily conserved master regulator that integrates energy, nutrients, growth factors, hormones and stress signals to promote growth in all eukaryotes. Inspired by recent comprehensive systems, chemical, genetic and genomic studies on plant TOR, this review discusses a potential role of TOR as the global positioning system to both temporally and spatially direct plant growth and developmental programs by integrating dynamic information in the complex nutrient and hormonal signaling networks. We further evaluate and depict the possible functional and mechanistic models for how a single protein kinase TOR is able to recognize, integrate and even distinguish a plethora of positive and negative input signals to execute appropriate and distinct downstream biological processes via multiple partners and effectors.
Personality modifies the effect of post-traumatic stress disorder (PTSD) and society support on depression-anxiety-stress in the residents undergone catastrophic flooding in Henan, China.

BACKGROUND To analyze the impact of the flood disasters, social support and personality on the mental health of residents in Henan Province, China, providing fundamental knowledges for making measuring strategies to improve the psychological protection and anti-stress ability of the residents after the disaster. MATERIAL AND METHODS A cross-section study was conducted via an online survey platform "questionnaire star," which included 572 residents in Henan Province, which underwent the history of ever flood disaster on July 20. The questionnaires of Impact of Event Scale-Revised Edition (IES-R), Perceived Social Support Scale (PSSS), the Depression Anxiety Stress Scales (DASS-21) and the scales of Eysenck Personality Questionnaire-Revised (EPQ-R) version in Chinese were also administered to each participant. Generalized linear regression model was performed. RESULTS The residents who live in the flooding areas, are male and married had a significantly higher post-traumatic stress disorder (PTSD) score than their counterparts. The scores of depression-anxiety-stress in the residents with stable emotion were significantly lower than those with unstable emotion (p < 0.001). Machine learning showed that PTSD ranked the top risk factor, followed by neuroticism for Depression-Anxiety-Stress after disaster. The PTSD was negatively correlated with social support (p < 0.01), while it was positively correlated with depression-anxiety-stress and emotional stability (p < 0.01). There was a statistically significant interaction between PTSD, social support and neuroticism on depression-anxiety-stress (p < 0.001), with an independent effect of 1.4% on depression-anxiety-stress. Emotional stability showed the largest association with depression-anxiety-stress. CONCLUSIONS Residents living in the catastrophic flooding areas had significant post-traumatic mental health issues, and the severity of mental problems was differently affected by post-traumatic stress disorder and social support in individuals with different personalities. Introvert and PTSD were the major risk factors for depression-anxiety-stress after the disaster. Med Pr. 2022;73(4).
India’s Opportunities and Challenges in Establishing a Twin Registry: An Unexplored Human Resource for the World’s Second-Most Populous Nation

Abstract Nature and nurture have always been a prerogative of evolutionary biologists. The environment’s role in shaping an organism’s phenotype has always intrigued us. Since the inception of humankind, twinning has existed with an unsettled parley on the contribution of nature (i.e. genetics) versus nurture (i.e. environment), which can influence the phenotypes. The study of twins measures the genetic contribution and that of the environmental influence for a particular trait, acting as a catalyst, fine-tuning the phenotypic trajectories. This is further evident because a number of human diseases show a spectrum of clinical manifestations with the same underlying molecular aberration. As of now, there is no definite way to conclude just from the genomic data the severity of a disease or even to predict who will get affected. This greatly justifies initiating a twin registry for a country as diverse and populated as India. There is an unmet need to set up a nationwide database to carefully curate the information on twins, serving as a valuable biorepository to study their overall susceptibility to disease. Establishing a twin registry is of paramount importance to harness the wealth of human information related to the biomedical, anthropological, cultural, social and economic significance.
Applications of bio-predictive dissolution tools for the development of solid oral dosage forms: current industry experience

Abstract Development and optimization of orally administered drug products often require bio-predictive tools to help with informing formulation and manufacturing decisions. Reliable bio-predictive dissolution toolkits not only allow rational development of target formulations without having to conduct excessive in vivo studies but also help in detecting critical material attributes (CMAs), critical formulation variables (CFVs), or critical process parameters (CPPs) that could impact a drug’s in vivo performance. To provide early insights for scientists on the development of a bio-predictive method for drug product development, this review summarizes current phase-appropriate bio-predictive dissolution approaches applicable to address typical concerns on solubility-limited absorption, food effect, achlorhydria, development of extended-release formulation, clinically relevant specification, and biowaiver. The selection of an in vitro method which can capture the key rate-limiting step(s) of the in vivo dissolution and/or absorption is considered to have a better chance to produce a meaningful in vitro-in vivo correlation (IVIVC) or in vitro-in vivo relationship (IVIVR).