Miracle-dz/UniFAR-FTUs huggingface dataset:
Designing Recommender Systems to Depolarize

Polarization is implicated in the erosion of democracy and the progression to violence, which makes the polarization properties of large algorithmic content selection systems (recommender systems) a matter of concern for peace and security. While algorithm-driven social media do not seem to be a primary driver of polarization at the country level, they could be a useful intervention point in polarized societies. This paper examines algorithmic depolarization interventions aimed at transforming conflict: not suppressing or eliminating conflict, but making it more constructive. Algorithmic intervention is considered at three stages: what content is available (moderation), how content is selected and personalized (ranking), and content presentation and controls (user interface). Empirical studies of online conflict suggest that not only could the exposure-diversity intervention proposed as an antidote to ‘filter bubbles’ be improved: under some conditions, it can even worsen polarization. Using civility metrics in conjunction with diversity in content selection may be more effective. However, diversity-based interventions have not been tested at scale, and may not work in the diverse and dynamic contexts of real platforms. Instead, intervening in platform polarization dynamics will likely require continuous monitoring of polarization metrics, such as the widely used ‘feeling thermometer’. These metrics can be used to evaluate product features, and can potentially be engineered as algorithmic objectives. While using any metric as an optimization target may have harmful consequences, to prevent optimization processes from creating conflict as a side effect it may prove necessary to include polarization measures in the objective function of recommender algorithms.
Bayesian Brains and the Rényi Divergence

Abstract Under the Bayesian brain hypothesis, behavioral variations can be attributed to different priors over generative model parameters. This provides a formal explanation for why individuals exhibit inconsistent behavioral preferences when confronted with similar choices. For example, greedy preferences are a consequence of confident (or precise) beliefs over certain outcomes. Here, we offer an alternative account of behavioral variability using Rényi divergences and their associated variational bounds. Rényi bounds are analogous to the variational free energy (or evidence lower bound) and can be derived under the same assumptions. Importantly, these bounds provide a formal way to establish behavioral differences through an α parameter, given fixed priors. This rests on changes in α that alter the bound (on a continuous scale), inducing different posterior estimates and consequent variations in behavior. Thus, it looks as if individuals have different priors and have reached different conclusions. More specifically, α→0+ optimization constrains the variational posterior to be positive whenever the true posterior is positive. This leads to mass-covering variational estimates and increased variability in choice behavior. Furthermore, α→+∞ optimization constrains the variational posterior to be zero whenever the true posterior is zero. This leads to mass-seeking variational posteriors and greedy preferences. We exemplify this formulation through simulations of the multiarmed bandit task. We note that these α parameterizations may be especially relevant (i.e., shape preferences) when the true posterior is not in the same family of distributions as the assumed (simpler) approximate density, which may be the case in many real-world scenarios. The ensuing departure from vanilla variational inference provides a potentially useful explanation for differences in behavioral preferences of biological (or artificial) agents under the assumption that the brain performs variational Bayesian inference.
The trunks of CLE(4) explorations

A natural class of conformally invariant ways for discovering the loops of a conformal loop ensemble $\text{CLE}_4$ is given by a certain family of $\text{SLE}_4^{\langle\mu\rangle}(-2)$ exploration processes for real $\mu$. Such an exploration consists of one simple continuous path called the trunk of the exploration that discovers $\text{CLE}_4$ loops along the way. The parameter $\mu$ appears in the Loewner chain description of the path that traces the trunk and all CLE loops encountered by the trunk in chronological order. These explorations can also be interpreted in terms of level lines of a Gaussian free field. It has been shown by Miller, Sheffield and Werner that the trunk of such an exploration is an $\text{SLE}_4(\rho,-2-\rho)$ process for some (unknown) value of $\rho \in (-2, 0)$. The main result of the present paper is to establish the relation between $\mu$ and $\rho$, more specifically to show that $\mu = -\pi\cot(\pi\rho/2)$. The crux of the paper is to show how explorations of $\text{CLE}_4$ can be approximated by explorations of $\text{CLE}_\kappa$ for $\kappa \uparrow 4$, which then makes it possible to use recent results by Miller, Sheffield and Werner about the trunks of $\text{CLE}_\kappa$ explorations for $\kappa<4$.
GiT: Graph Interactive Transformer for Vehicle Re-Identification

Transformers are more and more popular in computer vision, which treat an image as a sequence of patches and learn robust global features from the sequence. However, pure transformers are not entirely suitable for vehicle re-identification because vehicle re-identification requires both robust global features and discriminative local features. For that, a graph interactive transformer (GiT) is proposed in this paper. In the macro view, a list of GiT blocks are stacked to build a vehicle re-identification model, in where graphs are to extract discriminative local features within patches and transformers are to extract robust global features among patches. In the micro view, graphs and transformers are in an interactive status, bringing effective cooperation between local and global features. Specifically, one current graph is embedded after the former level’s graph and transformer, while the current transform is embedded after the current graph and the former level’s transformer. In addition to the interaction between graphs and transforms, the graph is a newly-designed local correction graph, which learns discriminative local features within a patch by exploring nodes’ relationships. Extensive experiments on three large-scale vehicle re-identification datasets demonstrate that our GiT method is superior to state-of-the-art vehicle re-identification approaches.
Kernel Mean Estimation by Marginalized Corrupted Distributions

Estimating the kernel mean in a reproducing kernel Hilbert space is a critical component in many kernel learning algorithms. Given a finite sample, the standard estimate of the target kernel mean is the empirical average. Previous works have shown that better estimators can be constructed by shrinkage methods. In this work, we propose to corrupt data examples with noise from known distributions and present a new kernel mean estimator, called the marginalized kernel mean estimator, which estimates kernel mean under the corrupted distribution. Theoretically, we show that the marginalized kernel mean estimator introduces implicit regularization in kernel mean estimation. Empirically, we show on a variety of datasets that the marginalized kernel mean estimator obtains much lower estimation error than the existing estimators.
Routing in Strongly Hyperbolic Unit Disk Graphs

Greedy routing has been studied successfully on Euclidean unit disk graphs, which we interpret as a special case of hyperbolic unit disk graphs. While sparse Euclidean unit disk graphs exhibit grid-like structure, we introduce strongly hyperbolic unit disk graphs as the natural counterpart containing graphs that have hierarchical network structures. We develop and analyze a routing scheme that utilizes these hierarchies. On arbitrary graphs this scheme guarantees a worst case stretch of max{3, 1 + 2b/a} for a > 0 and b > 1. Moreover, it stores O(k (log2 n + logk)) bits at each vertex and takes O(k) time for a routing decision, where k = πe (1 + a)/(2(b − 1)) (b2 diam(G) − 1)R + logb (diam(G)) + 1, on strongly hyperbolic unit disk graphs with threshold radius R > 0. In particular, for hyperbolic random graphs, which have previously been used to model hierarchical networks like the internet, k = O(log2 n) holds asymptotically almost surely. Thus, we obtain a worst-case stretch of 3, O(log4 n) bits of storage per vertex, and O(log2 n) time per routing decision on such networks. This beats existing worst-case lower bounds. Our proof of concept implementation indicates that the obtained results translate well to real-world networks.
Topological Contextuality and Anyonic Statistics of Photonic-Encoded Parafermions

Zheng-Hao Liu,1, 2, ∗ Kai Sun,1, 2, ∗ Jiannis K. Pachos,3, † Mu Yang,1, 2 Yu Meng,1, 2 Yu-Wei Liao,1, 2 Qiang Li,1, 2 Jun-Feng Wang,1, 2 Ze-Yu Luo,1, 2 Yi-Fei He,1, 2 Dong-Yu Huang,1, 2 Guang-Rui Ding,1, 2 Jin-Shi Xu,1, 2, ‡ Yong-Jian Han,1, 2, § Chuan-Feng Li,1, 2, ¶ and Guang-Can Guo1, 2 CAS Key Laboratory of Quantum Information, University of Science and Technology of China, Hefei 230026, People’s Republic of China CAS Centre For Excellence in Quantum Information and Quantum Physics, University of Science and Technology of China, Hefei 230026, People’s Republic of China School of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, UK (Dated: July 13, 2021)
Rate Splitting Multiple Access for Joint Communication and Sensing Systems with Unmanned Aerial Vehicles

This paper investigates the problem of resource allocation for joint communication and radar sensing system on rate-splitting multiple access (RSMA) based unmanned aerial vehicle (UAV) system. UAV simultaneously communicates with multiple users and probes signals to targets of interest to exploit cooperative sensing ability and achieve substantial gains in size, cost and power consumption. By virtue of using linearly precoded rate splitting at the transmitter and successive interference cancellation at the receivers, RSMA is introduced as a promising paradigm to manage interference as well as enhance spectrum and energy efficiency. To maximize the energy efficiency of UAV networks, the deployment location and the beamforming matrix are jointly optimized under the constraints of power budget, transmission rate and approximation error. To solve the formulated non-convex problem efficiently, we decompose it into the UAV deployment subproblem and the beamforming optimization subproblem. Then, we invoke the successive convex approximation and difference-of-convex programming as well as Dinkelbach methods to transform the intractable subproblems into convex ones at each iteration. Next, an alternating algorithm is designed to solve the non-linear and non-convex problem in an efficient manner, while the corresponding complexity is analyzed as well. Finally, simulation results reveal that proposed algorithm with RSMA is superior to orthogonal multiple access and power-domain non-orthogonal multiple access in terms of power consumption and energy efficiency.
PET Imaging of Translocator Protein as a Marker of Malaria-Associated Lung Inflammation

Malaria-associated acute respiratory distress syndrome (MA-ARDS) is a severe complication of malaria that occurs despite effective antimalarial treatment. Currently, noninvasive imaging procedures such as chest X-rays are used to assess edema in established MA-ARDS, but earlier detection methods are needed to reduce morbidity and mortality. ABSTRACT Malaria-associated acute respiratory distress syndrome (MA-ARDS) is a severe complication of malaria that occurs despite effective antimalarial treatment. Currently, noninvasive imaging procedures such as chest X-rays are used to assess edema in established MA-ARDS, but earlier detection methods are needed to reduce morbidity and mortality. The early stages of MA-ARDS are characterized by the infiltration of leukocytes, in particular monocytes/macrophages; thus, monitoring of immune infiltrates may provide a useful indicator of early pathology. In this study, Plasmodium berghei ANKA-infected C57BL/6 mice, a rodent model of MA-ARDS, were longitudinally imaged using the 18-kDa translocator protein (TSPO) imaging agent [18F]FEPPA as a marker of macrophage accumulation during the development of pathology and in response to combined artesunate and chloroquine diphosphate (ART+CQ) therapy. [18F]FEPPA uptake was compared to blood parasitemia levels and to levels of pulmonary immune cell infiltrates by using flow cytometry. Infected animals showed rapid increases in lung retention of [18F]FEPPA, correlating well with increases in blood parasitemia and pulmonary accumulation of interstitial inflammatory macrophages and major histocompatibility complex class II (MHC-II)-positive alveolar macrophages. Treatment with ART+CQ abrogated this increase in parasitemia and significantly reduced both lung uptake of [18F]FEPPA and levels of macrophage infiltrates. We conclude that retention of [18F]FEPPA in the lungs is well correlated with changes in blood parasitemia and levels of lung-associated macrophages during disease progression and in response to ART+CQ therapy. With further development, TSPO biomarkers may have the potential to accurately assess the early onset of MA-ARDS.
A Cross-National Study of Dementia Stigma Among the General Public in Israel and Australia

Background: Despite the increasing amount of research on dementia stigma, there is a dearth of cross-national studies conducted on this subject. This is surprising since the experience of stigma is closely associated to socio-cultural aspects. Objective: The present study intended to expand knowledge about the impact of culture on dementia stigma by comparing the level and correlates of stigmatic beliefs about dementia among the general public in Israel and Australia. Methods: A cross-sectional study using an online survey was conducted with two age-matched samples: 447 adults in Israel and 290 adults in Australia. Results: Overall, dementia stigma was moderate in both countries. However, the level of dementia stigma was significantly higher in Australia than in Israel. Lower levels of subjective knowledge and higher levels of ageism were associated with increased levels of stigmatic beliefs in both countries. Gender was a significant correlate of dementia stigma, with male participants reporting higher levels of public stigma than women, although this gender difference was mainly driven by the Australian sample. Conclusion: Our findings indicate that providing knowledge and decreasing ageist attitudes should be key considerations in dementia awareness and stigma reduction campaigns despite the cultural context. In addition, developing gender-specific messages should be considered as a way of improving the effects of such campaigns.
Three sex phenotypes in a haploid algal species give insights into the evolutionary transition to a self‐compatible mating system

Mating systems of haploid species such as fungi, algae, and bryophytes are either heterothallic (self‐incompatible) with two sex phenotypes (male and female, or mating type minus and plus in isogamous species) or homothallic (self‐compatible) with only a bisexual phenotype producing zygotes within a clone. The anisogamous volvocine green alga Pleodorina starrii is a haploid species previously reported to have a heterothallic mating system. Here, we found that two additional culture strains originating from the same water system of P. starrii were taxonomically identified as P. starrii and produced male and female gametes and zygotes within a clone (bisexual). Sequences of rapidly evolving plastid genome regions were identical between the bisexual and unisexual (male or female) P. starrii strains. Intercrossings between the bisexual and unisexual strains demonstrated normal thick‐walled zygotes and high survivability of F1 strains. Thus, these strains belong to the same biological species. Pleodorina starrii has a new haploid mating system that is unique in having three sex phenotypes, namely, male, female, and bisexual. Genetic analyses suggested the existence of autosomal “bisexual factor” locus independent of volvocine male and female determining regions. The present findings increase our understanding of the initial evolutionary step of transition from heterothallism to homothallism.
SOX2 plays a crucial role in cell proliferation and lineage segregation during porcine pre‐implantation embryo development

Gene regulation in early embryos has been widely studied for a long time because lineage segregation gives rise to the formation of a pluripotent cell population, known as the inner cell mass (ICM), during pre‐implantation embryo development. The extraordinarily longer pre‐implantation embryo development in pigs leads to the distinct features of the pluripotency network compared with mice and humans. For these reasons, a comparative study using pre‐implantation pig embryos would provide new insights into the mammalian pluripotency network and help to understand differences in the roles and networks of genes in pre‐implantation embryos between species.
Hippocampal CA1 theta burst‐induced LTP from weaning to adulthood: Cellular and molecular mechanisms in young male rats revisited

Long‐term potentiation (LTP) is a highly studied cellular process, yet determining the transduction and gamma aminobutyric acid (GABAergic) pathways that are the essential versus modulatory for LTP elicited by theta burst stimulation (TBS) in the hippocampal Cornu Ammonis 1 (CA1) area is still elusive, due to the use of different TBS intensities, patterns or different rodent/cellular models. We now characterised the developmental maturation and the transduction and GABAergic pathways required for mild TBS‐induced LTP in hippocampal CA1 area in male rats. LTP induced by TBS (5x4) (five bursts of four pulses delivered at 100 Hz) lasted for up to 3 h and was increasingly larger from weaning to adulthood. Stronger TBS patterns ‐ TBS (15x4) or three TBS (15x4) separated by 6 min induced nearly maximal LTP not being the best choice to study the value of LTP‐enhancing drugs. LTP induced by TBS (5x4) in young adults was fully dependent on N‐methyl D‐aspartate (NMDA) receptor and calmodulin‐dependent protein kinase II (CaMKII) activity but independent of protein kinase A (PKA) or protein kinase C (PKC) activity. Furthermore, it was partially dependent on GABAB receptor activation and was potentiated by GABAA receptor blockade and less by GAT‐1 transporter blockade. AMPA GluA1 phosphorylation on Ser831 (CaMKII target) but not GluA1 Ser845 (PKA target) was essential for LTP expression. The phosphorylation of the Kv4.2 channel was observed at Ser438 (CaMKII target) but not at Thr602 or Thr607 (ERK/MAPK pathway target). This suggests that cellular kinases like PKA, PKC, or kinases of the ERK/MAPK family although important modulators of TBS (5x4)‐induced LTP may not be essential for its expression in the CA1 area of the hippocampus.
Long-term efficacy of metacognitive therapy and cognitive behaviour therapy for depression

Objective: To examine the two-year outcomes for depression, anxiety, cognitive and global social functioning after cognitive behavioural therapy (CBT) and metacognitive therapy (MCT) for depression. Method: Participants were 31 adults with a diagnosis of major depressive disorder in a randomised pilot study comparing MCT and CBT. Therapy modality differences in change in depression and anxiety symptoms, dysfunctional attitudes, metacognitions, rumination, worry and global social functioning were examined at the two-year follow-up for those who completed therapy. Results: Significant improvements, with large effect sizes, were evident for all outcome variables. There were no significant differences in outcome between CBT and MCT. The greatest change over time occurred for depression and anxiety. Large changes were evident for metacognitions, rumination, dysfunctional attitudes, worry and global social functioning. Sixty-seven percent had not experienced a major depression and had been well during all of the past year, prior to the follow-up assessment. Conclusion: The finding at end treatment, of no modality specific differences, was also evident at two-year follow-up. Although CBT and MCT targeted depression, improvements were much wider, and although CBT and MCT take different approaches, both therapies produced positive change over time across all cognitive variables. CBT and MCT provide treatment options, that not only improve the longer-term outcome of depression, but also result in improvements in anxiety, global social functioning and cognitive status.
Population Pharmacokinetics of Teicoplanin and Its Dosing Recommendations for Neutropenic Patients With Augmented Renal Clearance for Hematological Malignancies

Supplemental Digital Content is Available in the Text. Background: Plasma teicoplanin concentrations do not reach the therapeutic range in several patients with hematological malignancies. Nevertheless, the characteristics of the population pharmacokinetic (PPK) models have not been clarified for malignancy. The decrease in the teicoplanin concentration in patients with cancer has been attributed to augmented renal clearance (ARC). It is essential to identify the causative factors of ARC to construct a PPK model to optimize the administration method. The authors aimed to establish a PPK model and develop an appropriate dosing regimen for teicoplanin in patients with hematological malignancies. Methods: PPK analysis was performed using therapeutic drug monitoring (TDM) data from 119 patients with hematological malignancies. The developed model was verified by predictive performance. Results: The covariates affecting systemic clearance were serum creatinine, presence or absence of neutropenia (<500/μL), and body size descriptor. Patients with hematologic malignancies and neutropenia showed a 25% increase in clearance compared with those with a normal neutrophil count. The PPK model was constructed based on the presence or absence of neutropenia. This model allowed the selection of the most appropriate dosage regimen out of those recommended by the TDM guidelines for patients with eGFR of >60 mL/min/1.73 m2. The PPK model predicted a dosing regimen for achieving a 10% improvement in the coverage probability of the target concentration range during the loading and maintenance phases. Conclusions: The PPK model may help optimize dose regimens and evaluate dosing methods, using comparative simulations, in patients with hematological malignancies.
Percutaneous mitral valve repair assisted by a catheter‐based circulatory support device in a heart transplant patient

Background: Systemic infections and chronic graft rejection represent common causes of mortality and morbidity in heart transplant patients. In severe cases, cardiogenic shock (CS) may occur and require hemodynamic stabilization with temporary mechanical circulatory support (tempMCS). Under these devastating circumstances, treatment of sequelae of left ventricular dysfunction, such as secondary mitral regurgitation (MR) is challenging, especially when surgical repair is deemed futile. In nontransplant patients, interventional mitral valve repair strategies such as the MitraClip system (Abbott Cardiovascular) have been used to successfully treat secondary MR and allow for weaning from tempMCS.