Miracle-dz/UniFAR-FTUs huggingface dataset:
A feedback system for the stability improvement of optical frequency comb generating system based on a single integrated PM-DMZM

Optical frequency combs (OFCs) have discrete optical spectra with equidistant spacing and equal intensities over a broad spectral range. In recent year, OFCs have been widely researched in many areas. However, the traditional methods of generating optical frequency comb are suffered from the long-term instability. In this article, a feedback system of the stability improvement of optical frequency comb (OFC) generating system based on a single integrated polarization multiplexing dual-drive Mach-Zehnder modulator (PM-DMZM) is proposed. The effect of the fluctuation of the halfwave voltage on the amplitude of the OFC spectra is analyzed. The proportion between the optical power of OFC and the optical carrier power of OFC is used as a feedback parameter to guarantee the simplicity and effectiveness. The stability of the proposed OFC system based on PM-DMZM is also analyzed by the numerical simulation. The results show that the flatness of 7-line OFC is improved for about 3 dB when only the bias voltage is regarded as the controlled parameter. In addition, the flatness of OFC can be improved for about 10 dB when the bias voltage and the amplitude of the modulated RF signal are all used as the controlled parameters simultaneously.
Anomalous Thermal Transport across the Superionic Transition in Ice

Superionic ices with highly mobile protons within stable oxygen sub-lattices occupy an important proportion of the phase diagram of ice and widely exist in the interior of icy giants and throughout the Universe. Understanding the thermal transport in superionic ice is vital for the thermal evolution of icy planets. However, it is highly challenging due to the extreme thermodynamic conditions and dynamical nature of protons, beyond the capability of the traditional lattice dynamics and empirical potential molecular dynamics approaches. By utilizing the deep potential molecular dynamics approach, we investigate the thermal conductivity of ice-VII and superionic ice-VII″ along the isobar of P = 30 GPa. A non-monotonic trend of thermal conductivity with elevated temperature is observed. Through heat flux decomposition and trajectory-based spectra analysis, we show that the thermally activated proton diffusion in ice-VII and superionic ice-VII″ contribute significantly to heat convection, while the broadening in vibrational energy peaks and significant softening of transverse acoustic branches lead to a reduction in heat conduction. The competition between proton diffusion and phonon scattering results in anomalous thermal transport across the superionic transition in ice. This work unravels the important role of proton diffusion in the thermal transport of high-pressure ice. Our approach provides new insights into modeling the thermal transport and atomistic dynamics in superionic materials.
Detection of idiosyncratic gaze fingerprint signatures in humans

Variation in human gaze can be explained by a variety of factors. Within an individual, gaze patterns can be quite reliable and can be explained in part by heritable common genetic mechanisms. If individual gaze patterns are strongly idiosyncratic, could they enable highly accurate detection of individuals via a ‘gaze fingerprint’? And are gaze fingerprints linked to variation in phenotypes such as autistic traits, which are underpinned by heritable common genetic mechanisms and cause atypical and idiosyncratic gaze to manifest in early development? To answer these questions we utilized a stimulus-rich design where participants viewed 700 stimuli of complex natural scenes, repeated in two sessions separated by ∼1-2 weeks. Across independent discovery (n=105) and replication (n=46) datasets, we find that gaze fingerprinting occurs at high rates (52-63%) relative to chance (1-2%) when gaze similarity is averaged across stimuli. However, such averaging procedures hide a unique non-random individuating code represented as a multivariate ‘gaze fingerprint barcode’ pattern across all 700 stimuli. Within such barcodes, around 91-95% of all individuals had fingerprintable stimuli counts that were significantly higher than situations where identity is randomly permuted. Data-driven clustering of such barcodes results in each individual as its own unique cluster. Finally, increased ‘gaze fingerprintability’ is associated with decreased levels of autistic traits. Overall, this work showcases strong potential for gaze fingerprinting on large-scale data as well as potential translational relevance to conditions such as autism.
Crypto'Graph: Leveraging Privacy-Preserving Distributed Link Prediction for Robust Graph Learning

Graphs are a widely used data structure for collecting and analyzing relational data. However, when the graph structure is distributed across several parties, its analysis is particularly challenging. In particular, due to the sensitivity of the data each party might want to keep their partial knowledge of the graph private, while still willing to collaborate with the other parties for tasks of mutual benefit, such as data curation or the removal of poisoned data. To address this challenge, we propose Crypto'Graph, an efficient protocol for privacy-preserving link prediction on distributed graphs. More precisely, it allows parties partially sharing a graph with distributed links to infer the likelihood of formation of new links in the future. Through the use of cryptographic primitives, Crypto'Graph is able to compute the likelihood of these new links on the joint network without revealing the structure of the private individual graph of each party, even though they know the number of nodes they have, since they share the same graph but not the same links. Crypto'Graph improves on previous works by enabling the computation of a certain number of similarity metrics without any additional cost. The use of Crypto'Graph is illustrated for defense against graph poisoning attacks, in which it is possible to identify potential adversarial links without compromising the privacy of the graphs of individual parties. The effectiveness of Crypto'Graph in mitigating graph poisoning attacks and achieving high prediction accuracy on a graph neural network node classification task is demonstrated through extensive experimentation on a real-world dataset.
Rebalancing Worker Initiative and AI Initiative in Future Work: Four Task Dimensions

Organizations have recently begun to deploy conversational task assistants that collaborate with knowledge workers to partially automate their work tasks. These assistants evolved out of business robotic process automation (RPA) tools and are becoming more intelligent: users can initiate task sequences through natural language, and the system can orchestrate those tasks if they have not previously been defined. As these tools become more automated, system designers tend to optimize overall process efficiency, but at the cost of shifting agency away from workers. Particularly in high stakes work environments, this shift raises questions of how to re-delegate agency such that workers feel sufficiently in control of automated tasks. We explored this through two studies comprised of interviews and co-design activities with knowledge workers and identified four task dimensions along which their automation and interaction preferences vary: process consequence, social consequence, task familiarity, and task complexity. These dimensions are useful for understanding when, why, and how to delegate agency between workers and conversational task assistants.
GelSight Svelte Hand: A Three-finger, Two-DoF, Tactile-rich, Low-cost Robot Hand for Dexterous Manipulation

This paper presents GelSight Svelte Hand, a novel 3-finger 2-DoF tactile robotic hand that is capable of performing precision grasps, power grasps, and intermediate grasps. Rich tactile signals are obtained from one camera on each finger, with an extended sensing area similar to the full length of a human finger. Each finger of GelSight Svelte Hand is supported by a semi-rigid endoskeleton and covered with soft silicone materials, which provide both rigidity and compliance. We describe the design, fabrication, functionalities, and tactile sensing capability of GelSight Svelte Hand in this paper. More information is available on our website: \url{https://gelsight-svelte.alanz. info}.
InkStream: Real-time GNN Inference on Streaming Graphs via Incremental Update

Classic Graph Neural Network (GNN) inference approaches, designed for static graphs, are ill-suited for streaming graphs that evolve with time. The dynamism intrinsic to streaming graphs necessitates constant updates, posing unique challenges to acceleration on GPU. We address these challenges based on two key insights: (1) Inside the $k$-hop neighborhood, a significant fraction of the nodes is not impacted by the modified edges when the model uses min or max as aggregation function; (2) When the model weights remain static while the graph structure changes, node embeddings can incrementally evolve over time by computing only the impacted part of the neighborhood. With these insights, we propose a novel method, InkStream, designed for real-time inference with minimal memory access and computation, while ensuring an identical output to conventional methods. InkStream operates on the principle of propagating and fetching data only when necessary. It uses an event-based system to control inter-layer effect propagation and intra-layer incremental updates of node embedding. InkStream is highly extensible and easily configurable by allowing users to create and process customized events. We showcase that less than 10 lines of additional user code are needed to support popular GNN models such as GCN, GraphSAGE, and GIN. Our experiments with three GNN models on four large graphs demonstrate that InkStream accelerates by 2.5-427$\times$ on a CPU cluster and 2.4-343$\times$ on two different GPU clusters while producing identical outputs as GNN model inference on the latest graph snapshot.
Adaptive Sensitivity Amplification Control with Q-Learning for Cable-Driven Lower-Limb Exoskeletons

This paper proposes a sensitivity amplification control (SAC) based on Q-learning for the cable-driven lower-limb exoskeleton (CDLEX) to guarantee the tracking performance and achieve comfortable human-robot interaction (HRI). There is no requirement for direct measurement of HRI in the SAC scheme, hence the force/torque sensors are avoided. For the purpose of accommodating the uncertainties of the interaction environment, such as the individual gaits and suddenly changing walking trajectories, the Q-learning algorithm is utilized to realize online parameter tuning of SAC. Finally, comparative numerical simulations are included to verify the effectiveness of the control scheme.
Data-driven design of complex network structures to promote synchronization

We consider the problem of optimizing the interconnection graphs of complex networks to promote synchronization. When traditional optimization methods are inapplicable, due to uncertain or unknown node dynamics, we propose a data-driven approach leveraging datasets of relevant examples. We analyze two case studies, with linear and nonlinear node dynamics. First, we show how including node dynamics in the objective function makes the optimal graphs heterogeneous. Then, we compare various design strategies, finding that the best either utilize data samples close to a specific Pareto front or a combination of a neural network and a genetic algorithm, with statistically better performance than the best examples in the datasets.
Investigation of microstructure evolution accounting for crystal plasticity in the multiphase‐field method

Regarding microstructured materials, a quantitative prediction of phase transformation processes is highly desirable for a wide range of applications. With respect to polycrstalline materials, the plastic material behavior is commonly investigated using a crystal plasticity (CP) theory, since it accounts for the underlying microstructure, that is, slip systems of the crystal lattice. In classical continuum mechanics, grain boundaries (GBs) are commonly modeled as material singular surfaces. However, the tracking of moving GBs, present during phase transformation processes, is numerically challenging and costly. This can be circumvented by the use of a multiphase‐field method (MPFM), which provides a numerically highly efficient method for the treatment of moving interfaces, considered as diffuse interfaces of finite thickness. In this work, the microstructural evolution is investigated within the MPFM accounting for CP. The implementation of the constitutive material behavior within the diffuse interface region accounts for phase‐specific plastic fields and the jump condition approach. To improve the understanding of the impact of plastic deformation on the phase evolution, a single inclusion problem is analyzed. Within a plastically deformed matrix, the shape evolution of a purely elastic inclusion with a different Young's modulus, referred to as inhomogeneity, is investigated. It is shown, how the anisotropic plastic behavior affects the phase evolution. The resulting equilibrium shapes are illustrated and examined.
Nutritional claims and framing effect: how does the way of communication impact on the product perception?

Framing of the research. The paper falls within the literature concerning food claims and the framing effect theory, expanding knowledge on the topic. Purpose of the paper. The research tested the effectiveness of alternative ways of communicating the same information (the absence of added sugars in the product) through nutritional claims. Their impact on consumer perceptions was explored in terms of perceived healthiness, perceived quality, attitude toward the product, purchase intention, and willingness to pay. Methodology . Images of fruit juice bottle were used as a stimulus and two versions of the pack were created: one with negative claim “no added sugar” and one with positive claim “only fruit sugars”. Data were collected by means of a web survey for a total of 122 completed questionnaires. Results . Results demonstrated the greatest effectiveness on consumer perception of the claim with positive frame compared to the claim with negative frame. Research limitations. The research investigated a single product category (fruit juices) and a single ingredient (sugar). More stimuli should be considered. Managerial implications. The results offer useful information to food companies about the way of communication through product packaging and, in particular, through nutritional claims. Originality of the paper. The paper analyzes two types of labels that have never been studied in the literature, extending the knowledge in the context of the framing effect theory with reference to nutritional claims.
TP63 fusions drive multicomplex enhancer rewiring, lymphomagenesis, and EZH2 dependence

Gene fusions involving tumor protein p63 gene (TP63) occur in multiple T and B cell lymphomas and portend a dismal prognosis for patients. The function and mechanisms of TP63 fusions remain unclear, and there is no target therapy for patients with lymphoma harboring TP63 fusions. Here, we show that TP63 fusions act as bona fide oncogenes and are essential for fusion-positive lymphomas. Transgenic mice expressing TBL1XR1::TP63, the most common TP63 fusion, develop diverse lymphomas that recapitulate multiple human T and B cell lymphomas. Here, we identify that TP63 fusions coordinate the recruitment of two epigenetic modifying complexes, the nuclear receptor corepressor (NCoR)—histone deacetylase 3 (HDAC3) by the N-terminal TP63 fusion partner and the lysine methyltransferase 2D (KMT2D) by the C-terminal TP63 component, which are both required for fusion-dependent survival. TBL1XR1::TP63 localization at enhancers drives a unique cell state that involves up-regulation of MYC and the polycomb repressor complex 2 (PRC2) components EED and EZH2. Inhibiting EZH2 with the therapeutic agent valemetostat is highly effective at treating transgenic lymphoma murine models, xenografts, and patient-derived xenografts harboring TP63 fusions. One patient with TP63-rearranged lymphoma showed a rapid response to valemetostat treatment. In summary, TP63 fusions link partner components that, together, coordinate multiple epigenetic complexes, resulting in therapeutic vulnerability to EZH2 inhibition. Description TP63 fusions coordinate multiple epigenetic complexes, drive lymphomagenesis, and create a therapeutic vulnerability to EZH2 inhibition. Editor’s summary Patients with T and B cell lymphomas with gene fusions involving tumor protein p63 gene (TP63) often have poor overall survival. To investigate these fusions, Wu et al. evaluated the mechanism behind the promotion of tumor growth and how to inhibit it. The authors found that these fusions drove tumor survival through EZH2 and, through inhibition of EZH2 with valemetostat, were able to treat patient-derived xenografts harboring TP63 fusions. In addition, one patient with a TP63-rearranged lymphoma responded to valemetostat treatment, suggesting a potential targeted therapy that requires further investigation. —Dorothy Hallberg
Secure Consensus for Nonlinear Multi-agent Systems Against Switching DoS Attacks

In this paper, the secure consensus for nonlinear multi-agent systems against Denial-of-Service attacks is investigated from the perspective of switching topologies. Considering the connectivity of network topology, two kinds of DoS attacks are considered in communication channels: one is connectivity-maintained attack and the other is connectivity-broken attack. Moreover, a secure consensus condition is established by utilizing suitable state feedback control and Lyapunov approach. Finally, a numerical example is proposed to illustrate the validity of the derived results.
Association between hemoglobin concentration and hypertension risk in native Tibetans at high altitude

Abstract Previous studies examining the association between hemoglobin concentration and hypertension have yielded inconsistent results. There is still a lack of evidence regarding the association between hemoglobin concentration and hypertension risk in native Tibetans at high altitude. We performed this cross‐sectional study in Luhuo County of Ganzi Tibetan Autonomous Prefecture (average altitude of 3500 m). In this study, we enrolled 1547 native Tibetans. The association between hemoglobin concentration and hypertension risk was examined by multivariate binary logistic regression and smooth curve fitting. Native Tibetans with hypertension had significantly higher hemoglobin concentrations than those without hypertension (165.9 ± 21.5 g/L vs. 157.7 ± 19.2 g/L, P < 0.001). An increase in hemoglobin concentration of 1 g/L was associated with hypertension (odds ratio [OR] 1.02, 95% confidence interval [CI] 1.01–1.02) after confounder adjustment. The highest hemoglobin concentration group (exceeding 173 g/L) was associated with an increased hypertension risk compared with the bottom quartile of hemoglobin concentration (OR 2.39, 95% CI 1.48–3.85). Hemoglobin concentration (per 1 g/L change) exceeding 176 g/L was significantly associated with an increased hypertension risk (OR 1.04, 95% CI 1.03–1.06). Additionally, high‐altitude polycythemia significantly increased the hypertension risk compared with a normal hemoglobin concentration (OR 2.92, 95% CI 1.25–6.86). A similar result was observed for mild polycythemia (OR 1.74, 95% CI 1.29–2.34). In conclusion, hemoglobin concentration was associated with hypertension risk in native Tibetans. When the hemoglobin concentration exceeded a certain value (approximately 176 g/L), the risk of hypertension was significantly increased.
Serum vitamin D in sanctuary chimpanzees (Pan troglodytes) in range countries: A pilot study

Abstract Background Vitamin D is essential for skeletal health, calcium homeostasis and general health. The major and more stable form of vitamin D in circulation is 25‐hydroxyvitamin D (25‐OH‐D); this is the most valuable indicator of vitamin D status. There are studies on laboratory and zoo‐housed chimpanzees; however, serum vitamin D status has not been documented in chimpanzees in range countries. Objectives (1) Determine the range of circulating 25‐OH‐D concentrations in chimpanzees in range countries. (2) Assess the influence of age, sex, and sun exposure on 25‐OH‐D serum concentrations. Methods Opportunistic blood samples were obtained from 127 clinically healthy chimpanzees. Serum 25‐OH‐D concentration was measured with a commercially available competitive ELISA. Results The median overall 25‐OH‐D concentration for chimpanzees in range countries was 46.24 nmol/L (range: 17.10–109.23 nmol/L). Males had a significantly lower concentration (40.15 nmol/L) than females (49.61 nmol/L), and infants (37.99 nmol/L) had a significantly lower concentration than adults (46.04 nmol/L). Concentrations of 25‐OH‐D in chimpanzees in sunnier habitats were significantly higher compared to thick tropical forest habitat. Conclusion The present constitutes a large dataset of serum 25‐OH‐D concentrations in range country sanctuary chimpanzees and contributes to document normal ranges. Age, sex, and sun exposure influenced serum concentrations of 25‐OH‐D in sanctuary chimpanzees.
Single and Multi-Point Non-Orthogonal Multiple Access based Power Adaptive Design for Improving Bit Error Ratio

Abstract In the framework of next-generation communication systems, Non-Orthogonal Multiple Access (NOMA) has attracted considerable interest. The fundamental advantage is that it has greater spectrum utilization than its orthogonal equivalents. This proposed work integrates Single-Input Single-Output NOMA (SISO) with Coordinated Multi-Point (CoMP). It uses both systems based on Quadrature Phase-Shift Keying (QPSK). A power-tolerant NOMA reduces the system’s vulnerability to erroneous power allocation by adaptively modifying each user’s signal power. The transmitted data is used to modify the power in the Power-Adaptive NOMA (PANOMA). PANOMA helps improve the Bit Error ratio and also improves the computational complexity. The Bit Error Rate (BER) and the lower limit capacity efficiency across Rayleigh fading channels are determined in precise closure representations of more than two consumer situations to measure its capability. The proposed method PA-CoMP-NOMA improves the Bit Error ratio in both systems. It improves the average BER among all users. Compared to its orthogonal cousin, NOMA has higher spectral efficiency. Nevertheless, our proposed method retains this feature as well as superior BER performance, although its spectral effectiveness is lower than that of the classic sum-rate based power NOMA.
Climate from a 1000-year multiproxy tree-ring record from Forfjorddalen, North Norway

The ring-width (RW) chronology of Scots pine (Pinus sylvestris L.) from Forfjorddalen, Vesteralen archipelago (68 47.5’N, 15 43.5’E) extends back to AD 812. July-August temperatures are reconstructed back to AD 1100 based on a subset of the RCS-detrended RW series (Radj = 42.0 %). This suggests warm summers persisted during: the Medieval period 1100-1250; from 1750-1850; and from 1915-1955. The latter period being warmer than the Medieval Warm Period. Cool summers apparently prevailed during 1375-1475 and 1600-1650.