193 research outputs found

    The fourth power mean value of one kind two-term exponential sums

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    In this paper, based on the analytic method and the properties of Gauss sums, we study the computational problems of the fourth power mean value of one kind two-term exponential sums through the classification and estimation of Dirichlet characters and give it a calculation formula or asymptotic formula in different conditions

    Shock-induced stripping of satellite ISM/CGM in IllustrisTNG clusters at z0z\sim0

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    Using the IllustrisTNG simulation, we study the interaction of large-scale shocks with the circumgalactic medium (CGM) and interstellar medium (ISM) of star-forming (SF) satellite galaxies in galaxy clusters. These shocks are usually produced by mergers and massive accretion. Our visual inspection shows that approximately half of SF satellites have encountered shocks in their host clusters at z0.11z\leq0.11. After a satellite crosses a shock front and enters the postshock region, the ram pressure on it is boosted significantly. Both the CGM and ISM can be severely impacted, either by striping or compression. The stripping of the ISM is particularly important for low-mass galaxies with log(M/M)<10\log (M_{*}/M_{\odot})<10 and can occur even in the outskirts of galaxy clusters. In comparison, satellites that do not interact with shocks lose their ISM only in the inner regions of clusters. About half of the ISM is stripped within about 0.6 Gyr after it crosses the shock front. Our results show that shock-induced stripping plays an important role in quenching satellite galaxies in clusters.Comment: 13 pages,8 figures, submitted to Ap

    ASCEND: Accurate yet Efficient End-to-End Stochastic Computing Acceleration of Vision Transformer

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    Stochastic computing (SC) has emerged as a promising computing paradigm for neural acceleration. However, how to accelerate the state-of-the-art Vision Transformer (ViT) with SC remains unclear. Unlike convolutional neural networks, ViTs introduce notable compatibility and efficiency challenges because of their nonlinear functions, e.g., softmax and Gaussian Error Linear Units (GELU). In this paper, for the first time, a ViT accelerator based on end-to-end SC, dubbed ASCEND, is proposed. ASCEND co-designs the SC circuits and ViT networks to enable accurate yet efficient acceleration. To overcome the compatibility challenges, ASCEND proposes a novel deterministic SC block for GELU and leverages an SC-friendly iterative approximate algorithm to design an accurate and efficient softmax circuit. To improve inference efficiency, ASCEND develops a two-stage training pipeline to produce accurate low-precision ViTs. With extensive experiments, we show the proposed GELU and softmax blocks achieve 56.3% and 22.6% error reduction compared to existing SC designs, respectively and reduce the area-delay product (ADP) by 5.29x and 12.6x, respectively. Moreover, compared to the baseline low-precision ViTs, ASCEND also achieves significant accuracy improvements on CIFAR10 and CIFAR100.Comment: Accepted in DATE 202

    Observation of Rydberg exciton polaritons and their condensate in a perovskite cavity

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    The condensation of half-light half-matter exciton polaritons in semiconductor optical cavities is a striking example of macroscopic quantum coherence in a solid state platform. Quantum coherence is possible only when there are strong interactions between the exciton polaritons provided by their excitonic constituents. Rydberg excitons with high principle value exhibit strong dipole-dipole interactions in cold atoms. However, polaritons with the excitonic constituent that is an excited state, namely Rydberg exciton polaritons (REPs), have not yet been experimentally observed. Here, for the first time, we observe the formation of REPs in a single crystal CsPbBr3 perovskite cavity without any external fields. These polaritons exhibit strong nonlinear behavior that leads to a coherent polariton condensate with a prominent blue shift. Furthermore, the REPs in CsPbBr3 are highly anisotropic and have a large extinction ratio, arising from the perovskite's orthorhombic crystal structure. Our observation not only sheds light on the importance of many-body physics in coherent polariton systems involving higher-order excited states, but also paves the way for exploring these coherent interactions for solid state quantum optical information processing

    ISP1-anchored Polarization of GCβ/CDC50A Complex Initiates Malaria Ookinete Gliding Motility

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    该工作历时四年,由博士毕业生高涵(第一作者)、博士生杨振科和王旭(共同第一作者)、硕士生钱鹏戈和洪仁杰完成;袁晶教授为通讯作者;厦门大学为第一完成单位。 该工作揭示了疟疾病原疟原虫通过媒介按蚊传播过程中的关键步骤---控制动合子运动的环磷酸鸟苷cGMP信号的激活机制。 疟原虫属于顶复体亚门原生动物,每年导致数亿人口感染疟疾和超过40万病人死亡。疟原虫通过雌性按蚊在哺乳动物宿主间传播。疟疾病人被按蚊叮咬吸血,疟原虫雌雄配子在按蚊消化道中受精形成合子,进一步变形发育为具有运动能力的新月形动合子。只有获得运动能力的动合子,才能穿越按蚊消化道单层上皮细胞,成功感染按蚊媒介。在本研究中,通过大量基因修饰模型,发现GCβ缺失导致动合子运动完全丢失,进而失去按蚊感染和传播能力。研究还发现,GCβ由细胞质均匀分布改变为在动合子顶体突出一侧聚集,并且GCβ聚集和动合子成熟完全同步,显示GCβ聚集可能直接激活cGMP信号。 本工作还发现GCβ结合蛋白CDC50A,后者承担分子伴侣功能,在动合子转化和成熟动合子中,稳定GCβ。此外,进一步筛选发现动合子内膜复合物蛋白ISP1,能够结合和锚定GCβ/CDC50A复合物,在成熟动合子中维持复合物的聚集。本研究为深入开展寄生性原生动物的发育转化和信号调控提供了线索和借鉴。【Abstract】Ookinete gliding motility is essential for penetration of the mosquito midgut wall and transmission of malaria parasites. Cyclic guanosine monophosphate (cGMP) signaling has been implicated in ookinete gliding. However, the upstream mechanism of how the parasites activate cGMP signaling and thus initiate ookinete gliding remains unknown. Using real-time imaging to visualize Plasmodium yoelii guanylate cyclase β (GCβ), we show that cytoplasmic GCβ translocates and polarizes to the parasite plasma membrane at “ookinete extrados site” (OES) during zygote to ookinete differentiation. The polarization of enzymatic active GCβ at OES initiates gliding of matured ookinete. Both the P4-ATPase-like domain and guanylate cyclase domain are required for GCβ polarization and ookinete gliding. CDC50A, a co-factor of P4-ATPase, binds to and stabilizes GCβ during ookinete development. Screening of inner membrane complex proteins identifies ISP1 as a key molecule that anchors GCβ/CDC50A complex at the OES of mature ookinetes. This study defines a spatial-temporal mechanism for the initiation of ookinete gliding, where GCβ polarization likely elevates local cGMP levels and activates cGMP-dependent protein kinase signaling.We thank Dr. David Baker (London School of Hygiene and Tropical Medicine) for his comments on this manuscript. This work was supported by the National Natural Science Foundation of China (81522027, 31772443, and 31501912), the Fundamental Research Funds for the Central Universities (20720160069, 20720150165, and 2013121033), the China's 1000 Young Talents Program, the “111” Project of the Ministration of Education of China (B06016), and the Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), NIH (X.S.). The authors thank Cindy Clark, NIH Library Writing Center, for manuscript editing assistance. 该研究得到国家自然科学基金委、中组部“青年千人计划”和厦门大学校长基金的资助

    Loss of ARHGEF6 Causes Hair Cell Stereocilia Deficits and Hearing Loss in Mice

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    ARHGEF6 belongs to the family of guanine nucleotide exchange factors (GEFs) for Rho GTPases, and it specifically activates Rho GTPases CDC42 and RAC1. Arhgef6 is the X-linked intellectual disability gene also known as XLID46, and clinical features of patients carrying Arhgef6 mutations include intellectual disability and, in some cases, sensorineural hearing loss. Rho GTPases act as molecular switches in many cellular processes. Their activities are regulated by binding or hydrolysis of GTP, which is facilitated by GEFs and GTPase-activating proteins, respectively. RAC1 and CDC42 have been shown to play important roles in hair cell (HC) stereocilia development. However, the role of ARHGEF6 in inner ear development and hearing function has not yet been investigated. Here, we found that ARHGEF6 is expressed in mouse cochlear HCs, including the HC stereocilia. We established Arhgef6 knockdown mice using the clustered regularly interspaced short palindromic repeat-associated Cas9 nuclease (CRISPR-Cas9) genome editing technique. We showed that ARHGEF6 was indispensable for the maintenance of outer hair cell (OHC) stereocilia, and loss of ARHGEF6 in mice caused HC stereocilia deficits that eventually led to progressive HC loss and hearing loss. However, the loss of ARHGEF6 did not affect the synapse density and did not affect the mechanoelectrical transduction currents in OHCs at postnatal day 3. At the molecular level, the levels of active CDC42 and RAC1 were dramatically decreased in the Arhgef6 knockdown mice, suggesting that ARHGEF6 regulates stereocilia maintenance through RAC1/CDC42

    Mitigating the Alignment Tax of RLHF

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    LLMs acquire a wide range of abilities during pre-training, but aligning LLMs under Reinforcement Learning with Human Feedback (RLHF) can lead to forgetting, which is also known as the alignment tax. To empirically verify this hypothesis, we conducted experiments with existing RLHF algorithms using OpenLLaMA-3B, which revealed a pronounced alignment tax in NLP tasks. On the other hand, despite various techniques to mitigate forgetting, they are often at odds with the RLHF performance, leading to a trade-off between reward maximization and forgetting mitigation. In light of the above pressing issue in aligning LLMs, in this paper we explore model averaging, which interpolates between pre and post RLHF model weights, to achieve a more efficient reward-tax Pareto front. To understand its effectiveness, We offer theoretical insights into model averaging, revealing that it enhances performance Pareto front by increasing feature diversity on the layers where tasks share overlapped feature spaces. Empirical evidence corroborates our analysis by showing the benefits of averaging low-level transformer layers. Building on the analysis and the observation that averaging different layers of the transformer leads to significantly different reward-tax trade-offs, we propose Adaptive Model Averaging (AMA) to adaptively find various combination ratios of model layers. AMA seeks to maximize the alignment reward while incurring minimal alignment tax. Moreover, we validate AMA's performance across a range of RLHF algorithms over OpenLLaMA-3B and further extend our findings to Mistral-7B.Comment: 28 Page
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