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  1. Article ; Online: X

    Zeng, Yan / Zhang, Xinsong / Li, Hang / Wang, Jiawei / Zhang, Jipeng / Zhou, Wangchunshu

    IEEE transactions on pattern analysis and machine intelligence

    2024  Volume 46, Issue 5, Page(s) 3156–3168

    Abstract: ... grained aligning and multi-grained localization simultaneously. Based on it, we present X ...

    Abstract Vision language pre-training aims to learn alignments between vision and language from a large amount of data. Most existing methods only learn image-text alignments. Some others utilize pre-trained object detectors to leverage vision language alignments at the object level. In this paper, we propose to learn multi-grained vision language alignments by a unified pre-training framework that learns multi-grained aligning and multi-grained localization simultaneously. Based on it, we present X
    Language English
    Publishing date 2024-04-03
    Publishing country United States
    Document type Journal Article
    ISSN 1939-3539
    ISSN (online) 1939-3539
    DOI 10.1109/TPAMI.2023.3339661
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The X

    Zheng, Zijie / Luo, Ganhua / Shi, Xinchong / Long, Yali / Shen, Wanqing / Li, Zhoulei / Zhang, Xiangsong

    Cellular oncology (Dordrecht)

    2019  Volume 43, Issue 1, Page(s) 95–106

    Abstract: Purpose: Traditional treatment regimens for advanced prostate cancer, especially castration-resistant prostate cancer, result in low survival times with severe side effects. Therefore, new treatment options are required. Vitamin C (VC) has been ... ...

    Abstract Purpose: Traditional treatment regimens for advanced prostate cancer, especially castration-resistant prostate cancer, result in low survival times with severe side effects. Therefore, new treatment options are required. Vitamin C (VC) has been identified as a promising anti-cancer agent of which the effects depend on the accumulation of H
    Methods: The anti-cancer effect of VC and/or SAS on prostate cancer cells was assessed using WST-8, colony formation and annexin V-FITC/PI FACS assays. Changes in cellular ROS and GSH levels were determined to verify our hypothesis. Finally, BALB/c nude mice bearing prostate cancer xenografts were used to assess the anti-cancer effects of single or combined VC and SAS therapies.
    Results: We found that SAS could potentiate the short- and long-term cytotoxicity of VC in prostate cancer cells. We also found that the synergistic effect of SAS and VC led to significant cellular GSH depletion, resulting in increased ROS accumulation. This synergistic effect could be reversed by the antioxidant N-acetyl-L-cysteine (NAC). The synergistic effect of SAS and VC was also noted in prostate cancer xenografts and correlated with immunohistochemistry results.
    Conclusions: Our results strongly indicate that SAS, a relatively non-toxic drug that targets cystine transporters, in combination with VC may be superior to their single applications in the treatment of prostate cancer.
    MeSH term(s) Acetylcysteine/pharmacology ; Amino Acid Transport System y+/antagonists & inhibitors ; Animals ; Antineoplastic Combined Chemotherapy Protocols/pharmacology ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use ; Antioxidants/pharmacology ; Apoptosis/drug effects ; Ascorbic Acid/metabolism ; Ascorbic Acid/pharmacology ; Ascorbic Acid/therapeutic use ; Cell Line, Tumor ; Cell Proliferation/drug effects ; Cell Survival/drug effects ; Drug Synergism ; Glutathione/metabolism ; Humans ; Immunohistochemistry ; Male ; Mice ; Mice, Inbred BALB C ; Mice, Nude ; Prostatic Neoplasms/drug therapy ; Prostatic Neoplasms/enzymology ; Prostatic Neoplasms/metabolism ; Reactive Oxygen Species/metabolism ; Sulfasalazine/pharmacology ; Sulfasalazine/therapeutic use ; Transplantation, Heterologous
    Chemical Substances Amino Acid Transport System y+ ; Antioxidants ; Reactive Oxygen Species ; SLC7A11 protein, human ; Sulfasalazine (3XC8GUZ6CB) ; Glutathione (GAN16C9B8O) ; Ascorbic Acid (PQ6CK8PD0R) ; Acetylcysteine (WYQ7N0BPYC)
    Language English
    Publishing date 2019-10-15
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2595109-9
    ISSN 2211-3436 ; 1875-8606 ; 2211-3428
    ISSN (online) 2211-3436
    ISSN 1875-8606 ; 2211-3428
    DOI 10.1007/s13402-019-00474-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 6908: Show issues Location:
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  3. Book ; Online: NAS-X

    Lawson, Dieterich / Li, Michael / Linderman, Scott

    Neural Adaptive Smoothing via Twisting

    2023  

    Abstract: ... adaptive smoothing via twisting (NAS-X), a method that extends reweighted wake-sleep (RWS ... expectations. Combining RWS and smoothing SMC allows NAS-X to provide low-bias and low-variance gradient ... advantages of NAS-X over previous methods and explore these advantages empirically in a variety of tasks ...

    Abstract Sequential latent variable models (SLVMs) are essential tools in statistics and machine learning, with applications ranging from healthcare to neuroscience. As their flexibility increases, analytic inference and model learning can become challenging, necessitating approximate methods. Here we introduce neural adaptive smoothing via twisting (NAS-X), a method that extends reweighted wake-sleep (RWS) to the sequential setting by using smoothing sequential Monte Carlo (SMC) to estimate intractable posterior expectations. Combining RWS and smoothing SMC allows NAS-X to provide low-bias and low-variance gradient estimates, and fit both discrete and continuous latent variable models. We illustrate the theoretical advantages of NAS-X over previous methods and explore these advantages empirically in a variety of tasks, including a challenging application to mechanistic models of neuronal dynamics. These experiments show that NAS-X substantially outperforms previous VI- and RWS-based methods in inference and model learning, achieving lower parameter error and tighter likelihood bounds.

    Comment: Updating for clarity and adding new baselines
    Keywords Computer Science - Machine Learning ; Computer Science - Artificial Intelligence ; Statistics - Machine Learning
    Subject code 006 ; 310
    Publishing date 2023-08-28
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article: An X-linked

    Feng, Zhiyu / Chen, Xinyuan / Li, Ting / Gao, Han / Chen, Weicheng / Gao, Yuan / Yao, Qinyu / Zhuang, Quannan / Ma, Xiaojing / Sheng, Wei / Xie, Yuquan / Huang, Guoying

    Translational pediatrics

    2022  Volume 11, Issue 11, Page(s) 1852–1863

    Abstract: ... of : Results: We identified a pathogenic mutation in the X-linked : Conclusions: These findings suggest that ...

    Abstract Background: Congenital heart disease (CHD) is the most common birth defect and is often accompanied by neurodevelopmental disabilities (NDD) which increase the associated mortality. Plexin families are known to play a key role in the development of heart and the occurrence of neurodevelopmental anomalies. However, there has been no report of
    Methods: We performed whole-exome sequencing (WES) on a proband with CHD with neurodevelopmental anomalies and his family members. Targeted sequencing, conservation analysis, AlphaFold, and PyRosetta were performed to identify more pathogenic mutations of
    Results: We identified a pathogenic mutation in the X-linked
    Conclusions: These findings suggest that
    Language English
    Publishing date 2022-12-05
    Publishing country China
    Document type Journal Article
    ZDB-ID 2901309-4
    ISSN 2224-4344 ; 2224-4344 ; 2224-4336
    ISSN (online) 2224-4344
    ISSN 2224-4344 ; 2224-4336
    DOI 10.21037/tp-22-556
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Thermoelectric properties of X

    Yan, Xinxin / Cao, Wei / Li, Haohuan

    RSC advances

    2023  Volume 13, Issue 27, Page(s) 18323–18327

    Abstract: ... a theoretical study of the thermoelectric properties of X ...

    Abstract MXene monolayers have received increasing attention due to their unique properties, particularly their high conductivity, which shows great potential in thermoelectric materials. In this paper, we present a theoretical study of the thermoelectric properties of X
    Language English
    Publishing date 2023-06-16
    Publishing country England
    Document type Journal Article
    ISSN 2046-2069
    ISSN (online) 2046-2069
    DOI 10.1039/d3ra02835f
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: THE-X

    Chen, Tianyu / Bao, Hangbo / Huang, Shaohan / Dong, Li / Jiao, Binxing / Jiang, Daxin / Zhou, Haoyi / Li, Jianxin / Wei, Furu

    Privacy-Preserving Transformer Inference with Homomorphic Encryption

    2022  

    Abstract: ... in transformer blocks, which are not supported by current HE tools yet. In this work, we introduce $\textit{THE-X ... developed by popular frameworks. $\textit{THE-X}$ proposes a workflow to deal with complex computation ... Experiments reveal our proposed $\textit{THE-X}$ can enable transformer inference on encrypted data ...

    Abstract As more and more pre-trained language models adopt on-cloud deployment, the privacy issues grow quickly, mainly for the exposure of plain-text user data (e.g., search history, medical record, bank account). Privacy-preserving inference of transformer models is on the demand of cloud service users. To protect privacy, it is an attractive choice to compute only with ciphertext in homomorphic encryption (HE). However, enabling pre-trained models inference on ciphertext data is difficult due to the complex computations in transformer blocks, which are not supported by current HE tools yet. In this work, we introduce $\textit{THE-X}$, an approximation approach for transformers, which enables privacy-preserving inference of pre-trained models developed by popular frameworks. $\textit{THE-X}$ proposes a workflow to deal with complex computation in transformer networks, including all the non-polynomial functions like GELU, softmax, and LayerNorm. Experiments reveal our proposed $\textit{THE-X}$ can enable transformer inference on encrypted data for different downstream tasks, all with negligible performance drop but enjoying the theory-guaranteed privacy-preserving advantage.

    Comment: Findings of ACL 2022
    Keywords Computer Science - Cryptography and Security ; Computer Science - Computation and Language
    Subject code 330
    Publishing date 2022-05-31
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Book ; Online: PaLI-X

    Chen, Xi / Djolonga, Josip / Padlewski, Piotr / Mustafa, Basil / Changpinyo, Soravit / Wu, Jialin / Ruiz, Carlos Riquelme / Goodman, Sebastian / Wang, Xiao / Tay, Yi / Shakeri, Siamak / Dehghani, Mostafa / Salz, Daniel / Lucic, Mario / Tschannen, Michael / Nagrani, Arsha / Hu, Hexiang / Joshi, Mandar / Pang, Bo /
    Montgomery, Ceslee / Pietrzyk, Paulina / Ritter, Marvin / Piergiovanni, AJ / Minderer, Matthias / Pavetic, Filip / Waters, Austin / Li, Gang / Alabdulmohsin, Ibrahim / Beyer, Lucas / Amelot, Julien / Lee, Kenton / Steiner, Andreas Peter / Li, Yang / Keysers, Daniel / Arnab, Anurag / Xu, Yuanzhong / Rong, Keran / Kolesnikov, Alexander / Seyedhosseini, Mojtaba / Angelova, Anelia / Zhai, Xiaohua / Houlsby, Neil / Soricut, Radu

    On Scaling up a Multilingual Vision and Language Model

    2023  

    Abstract: We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language ... in-context) learning, as well as object detection, video question answering, and video captioning. PaLI-X ...

    Abstract We present the training recipe and results of scaling up PaLI-X, a multilingual vision and language model, both in terms of size of the components and the breadth of its training task mixture. Our model achieves new levels of performance on a wide-range of varied and complex tasks, including multiple image-based captioning and question-answering tasks, image-based document understanding and few-shot (in-context) learning, as well as object detection, video question answering, and video captioning. PaLI-X advances the state-of-the-art on most vision-and-language benchmarks considered (25+ of them). Finally, we observe emerging capabilities, such as complex counting and multilingual object detection, tasks that are not explicitly in the training mix.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Computation and Language ; Computer Science - Machine Learning
    Publishing date 2023-05-29
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Enhancing X-Ray Sensitization with Multifunctional Nanoparticles.

    Liu, Jiayi / Wu, JunYong / Chen, Taili / Yang, Bin / Liu, XiangPing / Xi, Jing / Zhang, Ziyang / Gao, Yawen / Li, ZhiHong

    Small (Weinheim an der Bergstrasse, Germany)

    2024  , Page(s) e2400954

    Abstract: In the progression of X-ray-based radiotherapy for the treatment of cancer, the incorporation ...

    Abstract In the progression of X-ray-based radiotherapy for the treatment of cancer, the incorporation of nanoparticles (NPs) has a transformative impact. This study investigates the potential of NPs, particularly those comprised of high atomic number elements, as radiosensitizers. This aims to optimize localized radiation doses within tumors, thereby maximizing therapeutic efficacy while preserving surrounding tissues. The multifaceted applications of NPs in radiotherapy encompass collaborative interactions with chemotherapeutic, immunotherapeutic, and targeted pharmaceuticals, along with contributions to photodynamic/photothermal therapy, imaging enhancement, and the integration of artificial intelligence technology. Despite promising preclinical outcomes, the paper acknowledges challenges in the clinical translation of these findings. The conclusion maintains an optimistic stance, emphasizing ongoing trials and technological advancements that bolster personalized treatment approaches. The paper advocates for continuous research and clinical validation, envisioning the integration of NPs as a revolutionary paradigm in cancer therapy, ultimately enhancing patient outcomes.
    Language English
    Publishing date 2024-04-26
    Publishing country Germany
    Document type Journal Article ; Review
    ZDB-ID 2168935-0
    ISSN 1613-6829 ; 1613-6810
    ISSN (online) 1613-6829
    ISSN 1613-6810
    DOI 10.1002/smll.202400954
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: A structural perspective of liver X receptors.

    Gustafsson, Jan-Åke / Li, Xian Chang / Suh, Ji Ho / Lou, Xiaohua

    Vitamins and hormones

    2023  Volume 123, Page(s) 231–247

    Abstract: Liver X receptors α and β are members of the nuclear receptor family, which comprise a flexible N ... terminal domain, a DNA binding domain, a hinge linker, and a ligand binding domain. Liver X receptors are ... through conformational change caused by ligand binding. The Liver X receptors form heterodimers with retinoid X receptor ...

    Abstract Liver X receptors α and β are members of the nuclear receptor family, which comprise a flexible N-terminal domain, a DNA binding domain, a hinge linker, and a ligand binding domain. Liver X receptors are important regulators of cholesterol and lipid homeostasis by controlling the transcription of numerous genes. Key to their transcriptional role is synergetic interaction among the domains. DNA binding domain binds on DNA; ligand binding domain is a crucial switch to control the transcription activity through conformational change caused by ligand binding. The Liver X receptors form heterodimers with retinoid X receptor and then the liganded heterodimer may recruit other necessary transcription components to form an active transcription complex.
    MeSH term(s) Humans ; Liver X Receptors ; Ligands ; Protein Domains
    Chemical Substances Liver X Receptors ; Ligands
    Language English
    Publishing date 2023-02-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 201161-x
    ISSN 2162-2620 ; 0083-6729
    ISSN (online) 2162-2620
    ISSN 0083-6729
    DOI 10.1016/bs.vh.2023.01.008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Uc I Zs.238: Show issues Location:
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  10. Book ; Online: Advanced X-by-Wire Technologies in Design, Control and Measurement for Vehicular Electrified Chassis

    Li, Yong / Xu, Xing / Zhang, Lin / Qin, Yechen / Lu, Yang

    2023  

    Keywords Technology: general issues ; History of engineering & technology ; energy consumption optimization ; torque distribution ; energy efficiency ; motor efficiency ; four in-wheel motor drive electric vehicle ; nonlinear model predictive control ; four-wheel drive ; acceleration slip regulation ; intervention and exit mechanisms ; autonomous driving ; planning algorithm ; variable Gaussian safety field ; reinforcement learning ; policy gradient ; x-by-wire vehicle ; trajectory tracking control ; model predictive control ; hierarchical control ; distributed drive electric vehicles ; additional roll moment ; decoupling control ; load transfer rate ; electronically controlled air suspension ; solenoid valve ; extended Kalman filter bank ; fault diagnosis ; fault-tolerant control ; distributed driving electric vehicles ; polynomial path planning ; torque allocation ; obstacle avoidance path tracking ; fuzzy neural network ; particle swarm algorithm ; PID control ; active suspension ; MATLAB/Simulink simulation ; suspension ; mechatronic inerter ; bridge network ; high-order impedance ; real vehicle test ; autonomous vehicle ; path tracking control ; non-singular fast terminal sliding mode control ; model reference control ; vehicle ; fractional-order electrical network ; structure-immittance approach ; optimal design ; multi-agent coordinated control system ; active collision avoidance ; blackboard model ; real-time ; electric vehicles ; regenerative braking ; energy recovery ; genetic algorithm ; braking stability ; seat suspension ; inerter ; mechatronic system ; permanent magnet synchronous machine (PMSM) ; position sensorless compound control ; high frequency (HF) signal injection method ; I/F control ; model-based techniques ; n/a
    Language English
    Size 1 electronic resource (268 pages)
    Publisher MDPI - Multidisciplinary Digital Publishing Institute
    Publishing place Basel
    Document type Book ; Online
    Note English
    HBZ-ID HT030381937
    ISBN 9783036580579 ; 3036580573
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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