Miracle-dz/UniFAR-FTUs huggingface dataset:
Security boundaries of an optical-power limiter for protecting quantum-key-distribution systems

Unauthorized light injection has always been a vital threat to the practical security of a quantum key distribution (QKD) system. An optical power limiter (OPL) based on the thermo-optical defocusing effect has been proposed and implemented, limiting the injected hacking light. As a hardware countermeasure, the performance of the OPL under various light-injection attacks shall be tested to clarify the security boundary before being widely deployed. To investigate the OPL's security boundary in quantum cryptography, we comprehensively test and analyse the behavior of OPL under continuous-wave (c.w.) light-injection attacks and pulse illumination attacks with pulses' repetition rate at $0.5$-$\hertz$, $40$-$\mega\hertz$, and $1$-$\giga\hertz$. The testing results illuminate the security boundary of the OPL, which allows one to properly employ the OPL in the use cases. The methodology of testing and analysis proposed here is applicable to other power-limitation components in a QKD system.
Implementing two-qubit gates at the quantum speed limit

The speed of elementary quantum gates, particularly two-qubit gates, ultimately sets the limit on the speed at which quantum circuits can operate. In this work, we experimentally demonstrate commonly used two-qubit gates at nearly the fastest possible speed allowed by the physical interaction strength between two superconducting transmon qubits. We achieve this quantum speed limit by implementing experimental gates designed using a machine learning inspired optimal control method. Importantly, our method only requires the single-qubit drive strength to be moderately larger than the interaction strength to achieve an arbitrary two-qubit gate close to its analytical speed limit with high fidelity. Thus, the method is applicable to a variety of platforms including those with comparable single-qubit and two-qubit gate speeds, or those with always-on interactions. We expect our method to offer significant speedups for non-native two-qubit gates that are typically achieved with a long sequence of single-qubit and native two-qubit gates.
Object Pose Estimation with Statistical Guarantees: Conformal Keypoint Detection and Geometric Uncertainty Propagation

The two-stage object pose estimation paradigm first detects semantic keypoints on the image and then estimates the 6D pose by minimizing reprojection errors. Despite performing well on standard benchmarks, existing techniques offer no provable guarantees on the quality and uncertainty of the estimation. In this paper, we inject two fundamental changes, namely conformal keypoint detection and geometric uncertainty propagation, into the two-stage paradigm and propose the first pose estimator that endows an estimation with provable and computable worst-case error bounds. On one hand, conformal keypoint detection applies the statistical machinery of inductive conformal prediction to convert heuristic keypoint detections into circular or elliptical prediction sets that cover the groundtruth keypoints with a user-specified marginal probability (e.g., 90%). Geometric uncertainty propagation, on the other, propagates the geometric constraints on the keypoints to the 6D object pose, leading to a Pose UnceRtainty SEt (PURSE) that guarantees coverage of the groundtruth pose with the same probability. The PURSE, however, is a nonconvex set that does not directly lead to estimated poses and uncertainties. Therefore, we develop RANdom SAmple averaGing (RANSAG) to compute an average pose and apply semidefinite relaxation to upper bound the worst-case errors between the average pose and the groundtruth. On the LineMOD Occlusion dataset we demonstrate: (i) the PURSE covers the groundtruth with valid probabilities; (ii) the worst-case error bounds provide correct uncertainty quantification; and (iii) the average pose achieves better or similar accuracy as representative methods based on sparse keypoints.
How does the audience affect the way we express our gender roles?

In this paper, we explore the language of gender-speciﬁc groups of ”mothers” and ”fathers” in comparison to the same individuals interacting just as ”parents. ” Human beings adapt their language to the audience they interact with. This may be for self-presentation reasons (to inﬂuence how they are seen by others) or because being an authentic member of a group requires alignment with its norms and culture. While audience eﬀects have been studied theoretically and in small-scale research designs, large-scale studies of naturally-occurring audience eﬀects are rare. To study the impact of audience and gender in a natural setting, we choose a domain where gender plays a particularly salient role: parenting. We look at the audience eﬀects in interaction with gendered contexts emphasizing diﬀerent social identities (i.e., mother, father, and parent). As a natural setting, we choose to study interactions on Reddit. We collect posts from the three popular parenting subreddits (i.e., topical communities on Reddit) r/Daddit, r/Mommit, and r/Parenting. These three parenting subreddits gather diﬀerent audiences, respectively, self-identifying as fathers and mothers (ostensibly single-gender), and parents (explicitly mixed-gender). By selecting a sample of users who have published on both a single-gender and a mixed-gender subreddit, we are able to explore both audience and gender eﬀects. We analyse posts with word embeddings by adding the user as a token in the corpus. This way, we are able to compare user-tokens to word-tokens and measure their similarity. Results show that mothers and fathers, when interacting in a mixed-gender context, behave similarly and discuss a great diversity of topics while focusing more around advising each other on educational and family matters. In single-gender subreddits, mothers and fathers are more focused on speciﬁc topics. Mothers in r/Mommit distinguish themselves from other groups by discussing the most topics such as medical care, sleep and potty training, and food. Both mothers and fathers celebrate parenting events and describe or comment the physical appearance of their children with a single-gender audience. In conclusion, this study shows how mothers and fathers express diﬀerent concerns and change their behaviour for diﬀerent group-based audiences. It also advocates for the use of Reddit and word embeddings to better understand the dynamics of audience and gender in a natural setting.
The latmix summer campaign: Submesoscale stirring in the upper ocean

AbstractLateral stirring is a basic oceanographic phenomenon affecting the distribution of physical, chemical, and biological fields. Eddy stirring at scales on the order of 100 km (the mesoscale) is fairly well understood and explicitly represented in modern eddy-resolving numerical models of global ocean circulation. The same cannot be said for smaller-scale stirring processes. Here, the authors describe a major oceanographic field experiment aimed at observing and understanding the processes responsible for stirring at scales of 0.1–10 km. Stirring processes of varying intensity were studied in the Sargasso Sea eddy field approximately 250 km southeast of Cape Hatteras. Lateral variability of water-mass properties, the distribution of microscale turbulence, and the evolution of several patches of inert dye were studied with an array of shipboard, autonomous, and airborne instruments. Observations were made at two sites, characterized by weak and moderate background mesoscale straining, to contrast diff.
Facial Expression Recognition using Squeeze and Excitation-powered Swin Transformers

The ability to recognize and interpret facial emotions is a critical component of human communication, as it allows individuals to understand and respond to emotions conveyed through facial expressions and vocal tones. The recognition of facial emotions is a complex cognitive process that involves the integration of visual and auditory information, as well as prior knowledge and social cues. It plays a crucial role in social interaction, affective processing, and empathy, and is an important aspect of many real-world applications, including human-computer interaction, virtual assistants, and mental health diagnosis and treatment. The development of accurate and efficient models for facial emotion recognition is therefore of great importance and has the potential to have a significant impact on various fields of study.The field of Facial Emotion Recognition (FER) is of great significance in the areas of computer vision and artificial intelligence, with vast commercial and academic potential in fields such as security, advertising, and entertainment. We propose a FER framework that employs Swin Vision Transformers (SwinT) and squeeze and excitation block (SE) to address vision tasks. The approach uses a transformer model with an attention mechanism, SE, and SAM to improve the efficiency of the model, as transformers often require a large amount of data. Our focus was to create an efficient FER model based on SwinT architecture that can recognize facial emotions using minimal data. We trained our model on a hybrid dataset and evaluated its performance on the AffectNet dataset, achieving an F1-score of 0.5420, which surpassed the winner of the Affective Behavior Analysis in the Wild (ABAW) Competition held at the European Conference on Computer Vision (ECCV) 2022~\cite{Kollias}.
Lung cancer resection in patients with underlying usual interstitial pneumonia: a meta-analysis

Objective Patients with lung cancer with underlying idiopathic pulmonary fibrosis and usual interstitial pneumonia (UIP) pattern on CT represent a very high-risk group in terms of postoperative UIP acute exacerbations (AEs) and in-hospital mortality. We sought to investigate the outcomes in these patients. Methods We carried out a meta-analysis, searching four international databases from 1 January 1947 to 27 April 2022, for studies in any language reporting on the acute postoperative outcomes of patients with lung cancer undergoing surgical resection with underlying UIP (the primary outcome). Random effects meta-analyses (DerSimonian and Laird) were conducted. We analysed the difference in incidence of postoperative AE as well as the difference in long-term overall survival among subpopulations. These were stratified by the extent of surgical resection, with meta-regression testing (uniivariate and multivariate) according to the stage of disease, operative decision making and country of origin. This study was registered with PROSPERO (CRD42022319245). Results The overall incidence of AE of UIP postoperatively from 10 studies (2202 patients) was 14.6% (random effects model, 95% CI 9.8 to 20.1, I2=74%). Sublobar resection was significantly associated with a reduced odds of postoperative AE (OR 0.521 (fixed effects model), 95% CI 0.339 to 0.803, p=0.0031, I2=0%). The extent of resection was not significantly associated with overall survival following lung cancer resection in UIP patients (HR for sublobar resection 0.978 (random effects model), 95% CI 0.521 to 1.833, p=0.9351, I2=71%). Conclusions With appropriate implementation of perioperative measures such as screening for high-risk cases, appropriate use of steroids, antifibrotics and employing sublobar resection in select cases, the risk of local recurrence versus in-hospital mortality from AEUIP can be balanced and long-term survival can be achieved in a super-selected group of patients. Further investigation in the form of a randomised study is warranted.
Effect of depression on syllabic rate of speech

In this paper, we are comparing different methods to measure syllable rate of speech. Basically our method counts the number of vowels and divides it by the duration of speech. We use the energy content in 640–2800 Hz and 2000–3000 Hz to eliminate nasals and glides. Energy content in 0–400 Hz as well as pitch information and helps eliminate the unvoiced fricatives. We compare our method with Jong et al. (Behavior research methods. 2009; 41 (2): 385–390. ) who wrote a Pratt script and with another method that estimates the syllable rate from peak modulation rate of speech. We have seen that the latter measure tracks the changes in HAMD scores and therefore seems sensitive enough to measure changes in the degree of depression. We will determine if these other methods will show the same sensitivity
Citizen science provides valuable data to evaluate elasmobranch diversity and trends throughout the French Polynesia’s shark sanctuary

Observers of the Polynesian Shark Observatory (ORP), a citizen science network organized mainly through the Polynesian dive centers, collected an unprecedented amount of data from more than 13,916 dives spanning 43% of the islands of French Polynesia between July 8, 2011, and April 11, 2018. The objective for this type of data collection, which is not accessible within the standard research context, was to provide a unique dataset, and the opportunity to explore the specific diversity, distribution, seasonality and abundance of many elasmobranch species spread out throughout the territory of French Polynesia. Since the data are based on random citizen observations, the spatial distribution was biased toward the most frequented sites and islands where scuba diving is most developed. Overall, the increase in observed abundance of rays and sharks observed in French Polynesia, and the three most sampled islands as well as the high specific diversity recorded for the region, provide first evidence on the effectiveness of the French Polynesia’s Shark Sanctuary, established in 2006. These data, collected randomly by the volunteers, also provide insights into potential movement patterns and site fidelity of some of the more commonly observed species. While no final conclusions can be drawn, it is clear that the network of volunteers that regularly contributes information to the Polynesian Shark Observatory plays a very important role in the delivery of much needed data for conservation and management action, as well as providing perspectives for new directions in research on sharks and rays in French Polynesia.
Timing of cardiac resynchronization therapy implantation

Abstract Aims The optimum timing of cardiac resynchronization therapy (CRT) implantation is unknown. We explored long-term outcomes after CRT in relation to the time interval from a first heart failure hospitalization (HFH) to device implantation. Methods and results A database covering the population of England (56.3 million in 2019) was used to quantify clinical outcomes after CRT implantation in relation to first HFHs. From 2010 to 2019, 64 968 patients [age: 71.4 ± 11.7 years; 48 606 (74.8%) male] underwent CRT implantation, 57% in the absence of a previous HFH, 12.9% during the first HFH, and 30.1% after ≥1 HFH. Over 4.54 (2.80–6.71) years [median (interquartile range); 272 989 person-years], the time in years from the first HFH to CRT implantation was associated with a higher risk of total mortality [hazard ratio (HR); 95% confidence intervals (95% CI)] (1.15; 95% CI 1.14–1.16, HFH (HR: 1.26; 95% CI 1.24–1.28), and the combined endpoint of total mortality or HFH (HR: 1.19; 95% CI 1.27–1.20) than CRT in patients with no previous HFHs, after co-variate adjustment. Total mortality (HR: 1.67), HFH (HR: 2.63), and total mortality or HFH (HR: 1.92) (all P < 0.001) were highest in patients undergoing CRT ≥2 years after the first HFH. Conclusion In this study of a healthcare system covering an entire nation, delays from a first HFH to CRT implantation were associated with progressively worse long-term clinical outcomes. The best clinical outcomes were observed in patients with no previous HFH and in those undergoing CRT implantation during the first HFH. Condensed abstract The optimum timing of CRT implantation is unknown. In this study of 64 968 consecutive patients, delays from a first heart failure hospitalization (HFH) to CRT implantation were associated with progressively worse long-term clinical outcomes. Each year from a first HFH to CRT implantation was associated with a 21% higher risk of total mortality and a 34% higher risk of HFH. The best outcomes after CRT were observed in patients with no previous HFHs and in those undergoing implantation during their first HFH.
Global optimization using interval analysis

Employing a closed set-theoretic foundation for interval computations, Global Optimization Using Interval Analysis simplifies algorithm construction and increases generality of interval arithmetic. This Second Edition contains an up-to-date discussion of interval methods for solving systems of nonlinear equations and global optimization problems. It expands and improves various aspects of its forerunner and features significant new discussions, such as those on the use of consistency methods to enhance algorithm performance. Provided algorithms are guaranteed to find and bound all solutions to these problems despite bounded errors in data, in approximations, and from use of rounded arithmetic.
Discovery of Elaphuri Davidiani Cornu–specific peptide biomarkers by peptidomics analysis–based method

Elaphuri Davidiani Cornu (EDC) is the antler of the male Père David's deer, which has been reported to have multiple biological activities, and its use as a traditional Chinese medicine (TCM) in China has been known for thousands of years. However, EDC is difficult to distinguish from other related species–derived antlers in powder or extract form in TCM clinic use, such as Cervus elaphus Cornu (CEC) and Cervus nippon Cornu (CNC), both derived from Cervidae and easily confused with EDC. In this study, a strategy using peptidomics combined with mathematics set analysis was used to identify EDC‐specific peptide biomarkers, and four specific peptide biomarkers (Pep‐E1–E4) were identified and validated. Pep‐E1, Pep‐E3, and Pep‐E4 could be exclusively detected in EDC samples, with relative peak areas of 0.298 ± 0.060, 0.039 ± 0.015, and 0.037 ± 0.008, whereas Pep‐E2 showed relative peak area of 0.516 ± 0.101 in EDC, 0.132 ± 0.026 in CEC, and 0.136 ± 0.047 in CNC samples, respectively. These four peptides are applicable to distinguish EDC from CEC and CNC, which is of great significance for the quality control of EDC.
Nano-vaccines for gene delivery against HIV-1 infection

ABSTRACT Introduction Over the last four decades, human immunodeficiency virus type 1 (HIV-1) infection has been a major public health concern. It is acknowledged that an effective vaccine remains the best hope for eliminating the HIV-1 pandemic. The prophylaxis of HIV-1 infection remains a central theme because of the absence of an available HIV-1 vaccine. The inability of conventional delivery strategies to induce potent immunity is a crucial task to overcome and ultimately lead to a major obstacle in HIV-1 vaccine research. Areas covered The literature search was conducted in the following databases: PubMed, Web of Science, and Embase. Nano-platforms-based vaccines have proven prophylaxis in various diseases for effectively activating the immune system. Nano-vaccines, including non-viral and viral vectored nano-vaccines, are in a position to improve the effectiveness of HIV-1 antigen delivery and enhance the innate and adaptive immune responses against HIV-1. Compared to traditional vaccination strategies, genetic immunization can elicit a long-term immune response to provide protective immunity for HIV-1 prevention. Expert opinion Research progress on nano-vaccines for gene delivery against HIV-1 was discussed. Vaccine strategies based on nano-platforms that are being applied to stimulate effective HIV-1-specific cellular and humoral immune responses were particularly emphasized. Graphical Abstract
AsiteDesign: a Semirational Algorithm for an Automated Enzyme Design

With advances in protein structure predictions, the number of available high-quality structures has increased dramatically. In light of these advances, structure-based enzyme engineering is expected to become increasingly important for optimizing biocatalysts for industrial processes. Here, we present AsiteDesign, a Monte Carlo-based protocol for structure-based engineering of active sites. AsiteDesign provides a framework for introducing new catalytic residues in a given binding pocket to either create a new catalytic activity or alter the existing one. AsiteDesign is implemented using pyRosetta and incorporates enhanced sampling techniques to efficiently explore the search space. The protocol was tested by designing an alternative catalytic triad in the active site of Pseudomonas fluorescens esterase (PFE). The designed variant was experimentally verified to be active, demonstrating that AsiteDesign can find alternative catalytic triads. Additionally, the AsiteDesign protocol was employed to enhance the hydrolysis of a bulky chiral substrate (1-phenyl-2-pentyl acetate) by PFE. The experimental verification of the designed variants demonstrated that F158L/F198A and F125A/F158L mutations increased the hydrolysis of 1-phenyl-2-pentyl acetate from 8.9 to 66.7 and 23.4%, respectively, and reversed the enantioselectivity of the enzyme from (R) to (S)-enantiopreference, with 32 and 55% enantiomeric excess (ee), respectively.
Effectiveness of using reward strategies combined with transcranial direct current stimulation(RstDCS) on motivation in chronic stroke patients with upper limb disordersï¼study protocol for a randomized controlled trial

Abstract: Introduction Stroke survivors tend to have low motivation for rehabilitation, which prevent them from completing the rehabilitation training task effectively and participating in daily activities. Reward strategies can stimulate patients' motivation for rehabilitation, but the duration of their effect is unknown. tDCS is a technique capable of promoting plastic changes and functional reorganization of cortical functional areas.When it acts on dlPFC, it can improve the functional connectivity of brain areas associated with goal-directed behavior. Reward strategies combined with tDCS(RstDCS)have been shown to make normal individuals work harder at performing tasks. However, there are no studies on whether this combined strategy improves motivation in stroke patients and whether it has a long-lasting effect on motivation maintenance. Methods and analysis 87 stroke survivors who have low motivation and upper extremity dysfunction will be randomized to receive conventional, Rs, or RstDCS treatment. Patients in each group will undertake 15 sessions of tDCS real or sham stimulation of the left dlPFC for 3 weeks in conjunction with conventional rehabilitation or reward strategy training. Following this, the RS treatment group and RstDCS treatment group will be given a 3-week outpatient self-monitoring training program, while the conventional group will be given home rehabilitation instruction prior to discharge. Rehabilitation motivation is the primary outcome measure and will be assessed using RMS. RMS,FMA, FIM and ICF activity and social engagement scale will be compared at baseline, 3 weeks, 6 weeks, and 3 months after enrollment. Ethics and dissemination The study has been approved by the Ethics Committee of Yueyang Hospital of Integrated Chinese and Western Medicine Affiliated to SHUTCM (2021-122). All participating patients will provide written informed consent. The results will be disseminated through (open access) peer-reviewed publications, networks of scientists, professionals, and the public. Trial registration number: ChiCTR2300069068 Keywords: StrokeRehabilitation medicineSocial cognitionPatient-centered careElectric Stimulation Therapy