Miracle-dz/UniFAR-FTUs huggingface dataset:
Rendering Point Clouds with Compute Shaders and Vertex Order Optimization

In this paper, we present several compute‐based point cloud rendering approaches that outperform the hardware pipeline by up to an order of magnitude and achieve significantly better frame times than previous compute‐based methods. Beyond basic closest‐point rendering, we also introduce a fast, high‐quality variant to reduce aliasing. We present and evaluate several variants of our proposed methods with different flavors of optimization, in order to ensure their applicability and achieve optimal performance on a range of platforms and architectures with varying support for novel GPU hardware features. During our experiments, the observed peak performance was reached rendering 796 million points (12.7GB) at rates of 62 to 64 frames per second (50 billion points per second, 802GB/s) on an RTX 3090 without the use of level‐of‐detail structures. We further introduce an optimized vertex order for point clouds to boost the efficiency of GL_POINTS by a factor of 5× in cases where hardware rendering is compulsory. We compare different orderings and show that Morton sorted buffers are faster for some viewpoints, while shuffled vertex buffers are faster in others. In contrast, combining both approaches by first sorting according to Morton‐code and shuffling the resulting sequence in batches of 128 points leads to a vertex buffer layout with high rendering performance and low sensitivity to viewpoint changes.
Automated conformance testing for JavaScript engines via deep compiler fuzzing

JavaScript (JS) is a popular, platform-independent programming language. To ensure the interoperability of JS programs across different platforms, the implementation of a JS engine should conform to the ECMAScript standard. However, doing so is challenging as there are many subtle definitions of API behaviors, and the definitions keep evolving. We present COMFORT, a new compiler fuzzing framework for detecting JS engine bugs and behaviors that deviate from the ECMAScript standard. COMFORT leverages the recent advance in deep learning-based language models to automatically generate JS test code. As a departure from prior fuzzers, COMFORT utilizes the well-structured ECMAScript specifications to automatically generate test data along with the test programs to expose bugs that could be overlooked by the developers or manually written test cases. COMFORT then applies differential testing methodologies on the generated test cases to expose standard conformance bugs. We apply COMFORT to ten mainstream JS engines. In 200 hours of automated concurrent testing runs, we discover bugs in all tested JS engines. We had identified 158 unique JS engine bugs, of which 129 have been verified, and 115 have already been fixed by the developers. Furthermore, 21 of the COMFORT-generated test cases have been added to Test262, the official ECMAScript conformance test suite.
Robust and Multifunctional Liquid-Metal Embedded Elastomers for Ultrastretchable Electronics: a Short Review

Soft electronics are a promising and revolutionary alternative for traditional electronics when safe physical interaction between machines and the human body is required. Among various materials architectures developed for producing soft and stretchable electronics, Liquid-Metal Embedded Elastomers (LMEEs), which contain Ga-based inclusions as a conductive phase, has drawn considerable attention in various emerging fields such as wearable computing and bio-inspired robotics. This is because LMEEs exhibit a unique combination of desirable mechanical, electrical, and thermal properties. For instance, these so-called multifunctional materials can undergo large deformations as high as 600% strain without losing their electrical conductivity. Moreover, the desperation of conductive liquidmetal inclusions within the entire medium of an elastomer makes it possible to fabricate autonomously self-healing circuits that maintain their electrical functionality after extreme mechanical damage induction. The electrically self-healing property is of great importance for further progress in autonomous soft robotics, where materials are subjected to various modes of mechanical damage such as tearing. In this short review, we review the fundamental characteristics of LMEEs, their advantages over other conductive composites, materials used in LMMEs, their preparation and activation process, and the fabrication process of self-healing circuits. Additionally, we will review the soft-lithography-enabled techniques for liquid-metal pattering.
Unmasking the Mask - Evaluating Social Biases in Masked Language Models

Masked Language Models (MLMs) have shown superior performances in numerous downstream Natural Language Processing (NLP) tasks. Unfortunately, MLMs also demonstrate significantly worrying levels of social biases. We show that the previously proposed evaluation metrics for quantifying the social biases in MLMs are problematic due to the following reasons: (1) prediction accuracy of the masked tokens itself tend to be low in some MLMs, which leads to unreliable evaluation metrics, and (2) in most downstream NLP tasks, masks are not used; therefore prediction of the mask is not directly related to them, and (3) high-frequency words in the training data are masked more often, introducing noise due to this selection bias in the test cases. Therefore, we propose All Unmasked Likelihood (AUL), a bias evaluation measure that predicts all tokens in a test case given the MLM embedding of the unmasked input and AUL with Attention weights (AULA) to evaluate tokens based on their importance in a sentence. Our experimental results show that the proposed bias evaluation measures accurately detect different types of biases in MLMs, and unlike AUL and AULA, previously proposed measures for MLMs systematically overestimate the measured biases and are heavily influenced by the unmasked tokens in the context.
Quantifying gender bias towards politicians in cross-lingual language models

Recent research has demonstrated that large pre-trained language models reflect societal biases expressed in natural language. The present paper introduces a simple method for probing language models to conduct a multilingual study of gender bias towards politicians. We quantify the usage of adjectives and verbs generated by language models surrounding the names of politicians as a function of their gender. To this end, we curate a dataset of 250k politicians worldwide, including their names and gender. Our study is conducted in seven languages across six different language modeling architectures. The results demonstrate that pre-trained language models’ stance towards politicians varies strongly across analyzed languages. We find that while some words such as dead, and designated are associated with both male and female politicians, a few specific words such as beautiful and divorced are predominantly associated with female politicians. Finally, and contrary to previous findings, our study suggests that larger language models do not tend to be significantly more gender-biased than smaller ones.
Auto-Tuned Sim-to-Real Transfer

Policies trained in simulation often fail when transferred to the real world due to the ‘reality gap’ where the simulator is unable to accurately capture the dynamics and visual properties of the real world. Current approaches to tackle this problem, such as domain randomization, require prior knowledge and engineering to determine how much to randomize system parameters in order to learn a policy that is robust to sim-to-real transfer while also not being too conservative. We propose a method for automatically tuning simulator system parameters to match the real world using only raw RGB images of the real world without the need to define rewards or estimate state. Our key insight is to reframe the auto-tuning of parameters as a search problem where we iteratively shift the simulation system parameters to approach the real world system parameters. We propose a Search Param Model (SPM) that, given a sequence of observations and actions and a set of system parameters, predicts whether the given parameters are higher or lower than the true parameters used to generate the observations. We evaluate our method on multiple robotic control tasks in both sim-to-sim and sim-to-real transfer, demonstrating significant improvement over naive domain randomization. Project videos at https://yuqingd.github. io/autotuned-sim2real/.
A Longitudinal Observation of the Influence of Michigan Sports Concussion Law on Parents’ Knowledge and Perception of Sport-Related Concussion

INTRODUCTION In 2013, Michigan enacted legislation requiring parents and athletes to receive educational material concerning sport-related concussion (SRC). The aim of this study was to examine trends in concussion knowledge of parents from one community following implementation of Michigan’s Sports Concussion Laws (MSCL). METHODS A convenience sample of parents of students from a suburban school district were surveyed via district email at one year and five years post MSCL implementation. Results were compared to an equivalent 33-item survey obtained prior to the law. Individual questions were compared between the three surveys using Chi-square analysis with statistical significance observed at p < 0.05. RESULTS A total of 381 responses were obtained from the one-year post-MSCL (1yMSCL) and 178 in the five-year post-MSCL (5yMSCL) survey. Awareness of district policy regarding concussion was significantly higher after implementation of the MSCL (i.e., 77% at 1yMSCL and 71% at 5yMSCL) compared to prior 18% pre-MSCL (p < 0.0001). Respondents to the 5yMSCL survey were also significantly more aware of medical guidelines surrounding “return to play” after SRC compared to 1yMSCL (84.8% v 78.7%, p = 0.01). At 5yMSCL, significantly more respondents agreed that head injuries could cause more brain damage to children than adults (86.5% v 78.7% at 1yMSCL, p = 0.03). Finally, most parents at both survey periods rated the concussion educational material as the most helpful information source regarding SRC. CONCLUSIONS Based on these results, parental knowledge awareness appears to have increased concerning awareness of medical guidelines for SRC and potential brain damage risks to children after enactment of the MSCL.
Circulating biomarkers as predictors of left ventricular remodeling after myocardial infarction

Introduction The main impact of myocardial infarction is shifting from acute mortality to adverse remodeling and chronic left ventricle dysfunction. Several circulating biomarkers are explored for better risk stratification of these patients. Biomarker testing is a very attractive idea, since it is non-invasive, not operator-dependent and widely available. Aim In the present paper we analyze data from the years 2005–2020 about circulating biomarkers of remodeling after myocardial infarction. Material and methods We assessed 53 articles, which examined 160 relations between biomarkers and remodeling. We analyze inclusion criteria for individual studies, time points of serum collection and remodeling assessment as well as imaging methods. Results The main groups of assessed biomarkers included B-type natriuretic peptides, markers of cardiomyocyte injury and necrosis, markers of inflammatory response, markers of extracellular matrix turnover, microRNAs and hormones. The most common method of remodeling assessment was echocardiography and the most frequent time point for remodeling evaluation was 6 months. Conclusions The present analysis shows that although a relatively large number biomarkers were tested, selecting one ideal marker is still a challenge. A combination of biomarkers from different groups might be appropriate for predicting remodeling. Data presented in this analysis might be helpful for designing future studies, evaluating clinical use of an individual biomarker or a combination of different biomarkers.
In Vivo Evaluation of the Combined Anticancer Effects of Cisplatin and SAHA in Nonsmall Cell Lung Carcinoma Using [18F]FAHA and [18F]FDG PET/CT Imaging

Combining standard drugs with low doses of histone deacetylase inhibitors (HDACIs) is a promising strategy to increase the efficacy of chemotherapy. The ability of well-tolerated doses of HDACIs that act as chemosensitizers for platinum-based chemotherapeutics has recently been proven in many types and stages of cancer in vitro and in vivo. Detection of changes in HDAC activity/expression may provide important prognostic and predictive information and influence treatment decision-making. Use of [18F] FAHA, a HDAC IIa-specific radionuclide, for molecular imaging may enable longitudinal, noninvasive assessment of HDAC activity/expression in metastatic cancer. We evaluated the synergistic anticancer effects of cisplatin and the histone deacetylase inhibitor suberoylanilide hydroxamic acid (SAHA) in xenograft models of nonsmall cell lung cancer (NSCLC) using [18F] FAHA and [18F] FDG PET/CT imaging. Cisplatin alone significantly increased [18F] FAHA accumulation and reduced [18F] FDG accumulation in H441 and PC14 xenografts; coadministration of cisplatin and SAHA resulted in the opposite effects. Immunochemical staining for acetyl-histone H3 confirmed the PET/CT imaging findings. Moreover, SAHA had a more significant effect on the acetylome in PC14 (EGFR exon 19 deletion mutation) xenografts than H441 (wild-type EGFR and KRAS codon 12 mutant) xenografts. In conclusion, [18F] FAHA enables quantitative visualization of HDAC activity/expression in vivo, thus, may represent a clinically useful, noninvasive tool for the management of patients who may benefit from synergistic anticancer therapy.
The influence of pre-hospital medication administration in ST-elevation myocardial infarction patients on left ventricular ejection fraction and intra-hospital death

Introduction Currently, invasive cardiology techniques are the preferred method of treatment for patients with ST-elevation myocardial infarction (STEMI). Improving the care of patients with STEMI is possible by minimizing the time that elapses from the onset of pain to the start of treatment. As studies indicate, early pharmacotherapy, especially with antiplatelet and anticoagulant medications, allows for their early effectiveness. Aim To assess the influence of early administration of antiplatelet (clopidogrel) and anticoagulant medications in the pre-hospital period in patients with ST-elevated myocardial infarction on the frequency of in-hospital deaths and on the left ventricular ejection fraction evaluated at hospital discharge. Material and methods In this study, a retrospective analysis of 573 patients hospitalized due to ST-segment elevation myocardial infarction in one of Krakow’s hospitals from January 2011 to December 2015 (excluding the whole of 2013) was used as a research method. Results As many as 97% of patients received pre-hospital pharmacotherapy, but only 46.0% of respondents received unfractionated heparin, and 19.2% received clopidogrel. The in-hospital mortality rate was 6.7%, but among patients prehospitally treated with clopidogrel and unfractionated heparin, the in-hospital mortality rate was 1.1%. Prehospital administration of clopidogrel significantly decreased the possibility of reduced left ventricular ejection fraction (OR = 0.27; 95% CI: 0.09–0.90). Conclusions Among pre-hospital procedures, only administration of a second antiplatelet drug (clopidogrel) significantly decreased the risk of reduced left ventricular ejection fraction, and administration of clopidogrel or heparin, or a combination of both, significantly decreased the risk of in-hospital death in patients with STEMI.
The feasibility of implementing an exercise programme for deconditioned cancer survivors in a national cancer centre: FIXCAS Study

Introduction: As both the number of cancer survivors and the length of survival time are increasing, long-term health issues related to cancer and its treatment are becoming more prevalent. Research suggests that exercise can mitigate several negative health consequences in cancer survivors and improve physical function and quality of life. Multi-modal exercise interventions have been proposed as a cornerstone for survivorship care. However, studies evaluating exercise programmes within the Irish population are lacking. Purpose: To evaluate the introduction, implementation and acceptability of a multi-modal exercise rehabilitation programme for deconditioned cancer survivors in a real-world, standard practice setting. Methods and analysis: In this single-arm prospective feasibility study, cancer survivors (n=40) will undergo a 10-week multi-modal exercise programme. The study population will comprise of cancer survivors attending outpatient services in an Irish national cancer centre. Participants will be aged 18 or older and have completed treatment with curative intent. Feasibility will be evaluated in terms of recruitment, adherence and compliance to the programme. Secondary outcomes will examine physical function and quality of life measures. In addition, the acceptability of the programme will be assessed through stakeholder feedback. Ethics and dissemination: Ethical approval through the St. James’s Hospital and Tallaght University Hospital Research and Ethics Committee is currently pending. The study results will be used to optimise the intervention content and may serve as the foundation for a larger definitive trial. Results will be disseminated through peer-review journals, congresses and relevant clinical groups. Trial registration: ClinicalTrials.gov NCT04026659 (19/07/19)
Decolorization of Reactive Orange 16 dye using fabricated charcoal base metallic composite electrode.

The effectiveness of charcoal base metallic composite electrodes using commercial activated charcoal was investigated to fabricate an effective and low cost electrode to decolorize textile industries wastewater. The mixture of charcoal-graphite-metal powder (first layer) and graphite powder-polyvinyl chloride (second layer) was mixed together and later pressed at 10 toncm -2 to form two layers pellet. C.I. Reactive Orange 16 (RO16) was chosen as the model dye because of its high resistance towards conventional treatment methods while NaCl was selected as supporting electrolyte. The electrode efficiencies were determined by percentage of RO16 decolorization. The effect of metal used, PVC percentage, composition of charcoal and graphite and duration of electrolysis time were examined and the results indicated that application of charcoal base metallic composite electrode using pellet with the composition of C30C G 18Sn12PVC40-C G 60PVC40 able to decolorized RO16 dye up to 83.3% respectively after 2 hours electrolysis time and increase proportionally with increase duration of electrolysis time. The study of activated charcoal base metallic composite electrode illustrated that reduction of PVC percentage also led to enhance in RO16 decolorization percentage. The decolorization of RO16 was determined by the changes of absorption spectrum intensity of azo chromophore (-N=N-) using UV-Vis spectrophotometer at λ = 388 and 492.50 nm.
Successful application of roxadustat in the treatment of patients with anti-erythropoietin antibody-mediated renal anaemia: a case report and literature review

Recombinant human erythropoietin (rHuEPO) has been used worldwide for treatment of renal anaemia due to its good curative effect. However, rHuEPO treatment is associated with a rare but severe complication because of the development of anti-EPO antibodies, which are difficult to treat. Currently, the main treatments for the anti-EPO antibodies include withdrawing the rHuEPO, providing blood transfusions and administrating steroid-based immunosuppressive agents. Although the above methods can alleviate anti-EPO-related anaemia, there are obvious side-effects such as decreased immunity and an increased risk of infection. Therefore, accurately identifying anti-EPO-related anaemia and effectively treating this complication is worth exploring. This current case report describes a 49-year-old female patient with chronic kidney disease that received rHuEPO subcutaneously and then developed anti-EPO antibody-mediated renal anaemia with her haemoglobin levels dropping to 37 g/l. The patient refused to be treated with steroids, so she received 120 mg roxadustat administered orally every 72 h and her Hb level increased to 110 g/l over a few months. This current case report demonstrates that roxadustat can be used to successfully treat anti-EPO antibody-mediated renal anaemia without the use of steroid-based immunosuppressants.
Excellent overall and chronic graft‐versus‐host‐disease‐free event‐free survival in Fanconi anaemia patients undergoing matched related‐ and unrelated‐donor bone marrow transplantation using alemtuzumab–Flu–Cy: the UK experience

Haematopoietic stem cell transplantation (HSCT) remains the only curative option in Fanconi anaemia (FA). We analysed the outcome of children transplanted for FA between 1999 and 2018 in the UK. A total of 94 transplants were performed in 82 patients. Among the donors, 51·2% were matched related donors (MRD) while the remainder were alternative donors. Most patients received a fludarabine–cyclophosphamide (Flu–Cy)‐based conditioning regimen (86·6%) and in vivo T‐cell depletion with alemtuzumab (69·5%). Five‐year overall survival (OS) was 85·4% [70·4–93.2] with MRD, 95·7% [72·9–99.4] with matched unrelated donors (MUD), 44·4% [6·6–78.5] with mismatched unrelated donors (MMUD) and 44·4% [13·6–71.9] with mismatched related donors (MMRD) (P < 0·001). Other factors significantly impacting OS were pre‐transplant bone marrow status, source of stem cells, cytomegalovirus (CMV) serostatus, preparation with Flu–Cy, use of total body irradiation (TBI) and alemtuzumab as serotherapy. In multivariate analysis, absence of myelodysplastic syndrome (MDS) or leukaemia, bone marrow as source of stem cells, cytomegalovirus (CMV) other than +/− (Recipient/Donor) and Flu–Cy were protective factors for five‐year OS. Five‐year chronic graft‐versus‐host‐disease (cGVHD)‐free event‐free survival was 75·4% with the same risk factors except for CMV serostatus. Five‐year non‐relapse mortality was 13·8% [7·3–22.3]. Only five patients (6·1%) developed grade II–IV acute GVHD and two patients chronic GVHD. These data confirm the excellent outcome of matched related or unrelated HSCT in children with FA.
Atmospheric modelling of grass pollen rupturing mechanisms for thunderstorm asthma prediction

The world’s most severe thunderstorm asthma event occurred in Melbourne, Australia on 21 November 2016, coinciding with the peak of the grass pollen season. The aetiological role of thunderstorms in these events is thought to cause pollen to rupture in high humidity conditions, releasing large numbers of sub-pollen particles (SPPs) with sizes very easily inhaled deep into the lungs. The humidity hypothesis was implemented into a three-dimensional atmospheric model and driven by inputs from three meteorological models. However, the mechanism could not explain how the Melbourne event occurred as relative humidity was very low throughout the atmosphere, and most available grass pollen remained within 40 m of the surface. Our tests showed humidity induced rupturing occurred frequently at other times and would likely lead to recurrent false alarms if used in a predictive capacity. We used the model to investigate a range of other possible pollen rupturing mechanisms which could have produced high concentrations of SPPs in the atmosphere during the storm. The mechanisms studied involve mechanical friction from wind gusts, electrical build up and discharge incurred during conditions of low relative humidity, and lightning strikes. Our results suggest that these mechanisms likely operated in tandem with one another, but the lightning method was the only mechanism to generate a pattern in SPPs following the path of the storm. If humidity induced rupturing cannot explain the 2016 Melbourne event, then new targeted laboratory studies of alternative pollen rupture mechanisms would be of considerable value to help constrain the parameterisation of the pollen rupturing process.