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41. 发明申请

US20120107303A1 SYNERGISTIC TREATMENT OF CANCER USING IMMUNOMERS IN CONJUNCTION WITH CHEMOTHERAPEUTIC AGENTS 审中-公开
标题翻译：使用免疫调节剂联合化疗药物治疗癌症的协同治疗
公开(公告)号：US20120107303A1
公开(公告)日：2012-05-03
申请号：US13006860
申请日：2011-01-14
申请人： Ekambar R. Kandimalla , Sudhir Agrawal , Daqing Wang , Lakshml Bhagat , Dong Yu
发明人： Ekambar R. Kandimalla , Sudhir Agrawal , Daqing Wang , Lakshml Bhagat , Dong Yu
IPC分类号： A61K39/395 , A61P35/00 , A61K39/385 , A61K31/7088 , A61K39/00
CPC分类号： A61K39/0011 , A61K39/39558 , A61K2039/55561 , C07K16/2887 , C07K16/32 , C07K2317/24 , A61K2300/00
摘要： The invention relates to the therapeutic use of immunostimulatory oligonucleotides and/or immunomers in combination with chemotherapeutic agents to provide a synergistic therapeutic effect.
摘要翻译：本发明涉及免疫刺激性寡核苷酸和/或免疫组合物与化学治疗剂组合以提供协同治疗效果的治疗用途。

42. 发明授权

US08165870B2 Classification filter for processing data for creating a language model 有权
标题翻译：用于处理用于创建语言模型的数据的分类过滤器
公开(公告)号：US08165870B2
公开(公告)日：2012-04-24
申请号：US11054819
申请日：2005-02-10
申请人： Alejandro Acero , Dong Yu , Julian J. Odell , Milind V. Mahajan , Peter K. L. Mau
发明人： Alejandro Acero , Dong Yu , Julian J. Odell , Milind V. Mahajan , Peter K. L. Mau
IPC分类号： G06F17/21
CPC分类号： G06F17/2715 , G06F17/277 , G10L15/063 , G10L15/18 , G10L15/183
摘要： The method and apparatus utilize a filter to remove a variety of non-dictated words from data based on probability and improve the effectiveness of creating a language model.
摘要翻译：该方法和装置利用滤波器基于概率从数据中去除各种非指令词，并提高创建语言模型的有效性。

43. 发明授权

US08153777B2 Modulation of toll-like receptor 5 expression by antisense oligonucleotides 失效
标题翻译：通过反义寡核苷酸调节toll样受体5的表达
公开(公告)号：US08153777B2
公开(公告)日：2012-04-10
申请号：US12612413
申请日：2009-11-04
申请人： Ekambar Kandimalla , Mallikarjuna Putta , Lakshmi Bhagat , Daqing Wang , Dong Yu , Sudhir Agrawal
发明人： Ekambar Kandimalla , Mallikarjuna Putta , Lakshmi Bhagat , Daqing Wang , Dong Yu , Sudhir Agrawal
IPC分类号： C07H21/04 , C07H21/02 , A61K48/00 , A61K39/395 , C12N15/63
CPC分类号： A61K39/39 , A61K2039/55561 , C07H21/04 , C12N15/1138 , C12N2310/11 , Y02A50/401 , Y02A50/412 , Y02A50/414
摘要： Antisense oligonucleotide compounds, compositions and methods are provided for down regulating the expression of TLR5. The compositions comprise antisense oligonucleotides targeted to nucleic acids encoding TLR5. The compositions may also comprise antisense oligonucleotides targeted to nucleic acids encoding TLR5 in combination with other therapeutic and/or prophylactic compounds and/or compositions. Methods of using these compounds and compositions for down-regulating TLR5 expression and for prevention or treatment of diseases wherein modulation of TLR5 expression would be beneficial are provided.
摘要翻译：提供反义寡核苷酸化合物，组合物和方法用于下调TLR5的表达。组合物包含靶向编码TLR5的核酸的反义寡核苷酸。组合物还可以包含靶向编码TLR5的核酸与其它治疗和/或预防化合物和/或组合物组合的反义寡核苷酸。提供这些化合物和组合物用于下调TLR5表达和预防或治疗TLR5表达调节将是有益的疾病的方法。

44. 发明申请

US20110270610A1 PARAMETER LEARNING IN A HIDDEN TRAJECTORY MODEL 有权
标题翻译：参数学习在隐藏的TRAJECTORY模型
公开(公告)号：US20110270610A1
公开(公告)日：2011-11-03
申请号：US13182971
申请日：2011-07-14
申请人： Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
发明人： Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
IPC分类号： G10L15/00
CPC分类号： G10L15/063 , G10L2015/025
摘要： Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood function.
摘要翻译：使用用于观察向量的声学似然函数作为优化的反对函数来估计包括装置和方差的隐藏轨迹模型的分布参数。该估计仅包括声学数据，而不包括对隐藏的动态变量的任何中间估计。可以开发梯度上升方法来优化声似然函数。

45. 发明授权

US08010356B2 Parameter learning in a hidden trajectory model 有权
标题翻译：隐藏轨迹模型中的参数学习
公开(公告)号：US08010356B2
公开(公告)日：2011-08-30
申请号：US11356898
申请日：2006-02-17
申请人： Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
发明人： Li Deng , Dong Yu , Xiaolong Li , Alejandro Acero
IPC分类号： G10L15/00
CPC分类号： G10L15/063 , G10L2015/025
摘要： Parameters for distributions of a hidden trajectory model including means and variances are estimated using an acoustic likelihood function for observation vectors as an objection function for optimization. The estimation includes only acoustic data and not any intermediate estimate on hidden dynamic variables. Gradient ascent methods can be developed for optimizing the acoustic likelihood function.
摘要翻译：使用用于观察向量的声学似然函数作为优化的反对函数来估计包括装置和方差的隐藏轨迹模型的分布参数。该估计仅包括声学数据，而不包括对隐藏的动态变量的任何中间估计。可以开发梯度上升方法来优化声似然函数。

46. 发明授权

US07851453B2 Modulation of immunostimulatory properties of oligonucleotide-based compounds by utilizing modified immunostimulatory dinucleotides 失效
标题翻译：通过利用修饰的免疫刺激二核苷酸调节基于寡核苷酸的化合物的免疫刺激性质
公开(公告)号：US07851453B2
公开(公告)日：2010-12-14
申请号：US10757345
申请日：2004-01-14
申请人： Sudhir Agrawal , Lakshmi Bhagat , Dong Yu , Ekambar R. Kandimalla
发明人： Sudhir Agrawal , Lakshmi Bhagat , Dong Yu , Ekambar R. Kandimalla
IPC分类号： C07H21/02 , C07H21/04 , A01N43/04 , A61K31/70
CPC分类号： C12N15/117 , C07H21/00 , C07H21/02 , C07H21/04 , C12N15/111 , C12N2310/17 , C12N2310/33 , C12N2310/3519 , C12N2310/51
摘要： The invention relates to the therapeutic use of oligonucleotides as immunostimulatory agents in immunotherapy applications. More particularly, the invention provides immunomers and an immunostimulatory oligonucleotides for use in methods for generating an immune response or for treating a patient in need of immunostimulation. The immunomers and an immunostimulatory oligonucleotides of the invention preferably comprise novel purines. The immunomers according to the invention further comprise at least two oligonucleotides linked at their 3′ ends, internucleoside linkages or functionalized nucleobase or sugar to a non-nucleotidic linker, at least one of the oligonucleotides being an immunomodulatory oligonucleotide and having an accessible 5′ end.
摘要翻译：本发明涉及在免疫治疗应用中寡核苷酸作为免疫刺激剂的治疗用途。更具体地，本发明提供用于产生免疫应答的方法或用于治疗需要免疫刺激的患者的免疫学和免疫刺激性寡核苷酸。本发明的免疫原和免疫刺激寡核苷酸优选包含新的嘌呤。根据本发明的免疫反应物还包含至少两个在其3'末端连接的寡核苷酸，核苷间键或官能化核碱基或糖与非核酸连接体，至少一个寡核苷酸是免疫调节寡核苷酸并具有可接近的5'末端。

47. 发明申请

US20100254974A1 Modulation of Immunostimulatory Properties of Oligonucleotide-Based Compounds by Optimal Presentation of 5' Ends 审中-公开
标题翻译：通过5'末端的优化表达调节寡核苷酸类化合物的免疫刺激性质
公开(公告)号：US20100254974A1
公开(公告)日：2010-10-07
申请号：US12694844
申请日：2010-01-27
申请人： Sudhir Agrawal , Ekambar R. Kandimalla , Dong Yu , Lakshmi Bhagat
发明人： Sudhir Agrawal , Ekambar R. Kandimalla , Dong Yu , Lakshmi Bhagat
IPC分类号： A61K39/395 , A61K39/00 , A61P37/04 , A61P37/02
CPC分类号： C07H21/04 , A61K39/39 , A61K2039/55561
摘要： The invention relates to the therapeutic use of oligonucleotides as immunostimulatory agents in immunotherapy applications. More particularly, the invention provides immunomers for use in methods for generating an immune response or for treating a patient in need of immunostimulation. The immunomers of the invention comprise at least two oligonucleotides linked at their 3′ ends, internucleoside linkages or functionalized nucleobase or sugar to a non-nucleotidic linker, at least one of the oligonucleotides being an immunostimulatory oligonucleotide and having an accessible 5′ end.
摘要翻译：本发明涉及在免疫治疗应用中寡核苷酸作为免疫刺激剂的治疗用途。更具体地，本发明提供了用于产生免疫应答的方法或用于治疗需要免疫刺激的患者的免疫
性。本发明的免疫体包含至少两个在其3'末端连接的寡核苷酸，核苷间键或官能化核碱基或糖与非核苷酸连接体，至少一个寡核苷酸是免疫刺激性寡核苷酸并具有可接近的5'端。

48. 发明授权

US07790168B2 Modulation of immunostimulatory activity of immunostimulatory oligonucleotide analogs by positional chemical changes 失效
公开(公告)号：US07790168B2
公开(公告)日：2010-09-07
申请号：US10694207
申请日：2003-10-27
申请人： Ekambar R. Kandimalla , Qiuyan Zhao , Dong Yu , Sudhir Agrawal
发明人： Ekambar R. Kandimalla , Qiuyan Zhao , Dong Yu , Sudhir Agrawal
IPC分类号： A61K39/00 , A61K39/385 , A01N43/04 , C07H21/02
CPC分类号： C12N15/117 , A61K31/7088 , A61K31/7115 , A61K2039/55561 , C07H21/00 , C12N2310/18 , C12N2310/3125 , C12N2310/317 , C12N2310/318 , C12N2310/32 , C12N2310/321 , C12N2310/33 , C12N2310/334 , C12N2310/336 , C12N2310/3521
摘要： The invention relates to the therapeutic use of oligonucleotides or oligonucleotide analogs as immunostimulatory agents in immunotherapy applications. The invention provides methods for enhancing the immune response caused by immunostimulatory oligonucleotide compounds.

49. 发明申请

US20100153104A1 Noise Suppressor for Robust Speech Recognition 有权
标题翻译：噪声抑制器用于强大的语音识别
公开(公告)号：US20100153104A1
公开(公告)日：2010-06-17
申请号：US12335558
申请日：2008-12-16
申请人： Dong Yu , Li Deng , Yifan Gong , Jian Wu , Alejandro Acero
发明人： Dong Yu , Li Deng , Yifan Gong , Jian Wu , Alejandro Acero
IPC分类号： G10L15/20
CPC分类号： G10L21/0208 , G10L15/20
摘要： Described is noise reduction technology generally for speech input in which a noise-suppression related gain value for the frame is determined based upon a noise level associated with that frame in addition to the signal to noise ratios (SNRs). In one implementation, a noise reduction mechanism is based upon minimum mean square error, Mel-frequency cepstra noise reduction technology. A high gain value (e.g., one) is set to accomplish little or no noise suppression when the noise level is below a threshold low level, and a low gain value set or computed to accomplish large noise suppression above a threshold high noise level. A noise-power dependent function, e.g., a log-linear interpolation, is used to compute the gain between the thresholds. Smoothing may be performed by modifying the gain value based upon a prior frame's gain value. Also described is learning parameters used in noise reduction via a step-adaptive discriminative learning algorithm.
摘要翻译：描述了通常用于语音输入的噪声降低技术，其中除了信噪比（SNR）之外，基于与该帧相关联的噪声电平来确定用于帧的噪声抑制相关增益值。在一个实现中，降噪机制基于最小均方误差，Mel-frequency cepstra降噪技术。设置高增益值（例如一个），以在噪声电平低于阈值低电平时实现很少或没有噪声抑制，以及设置或计算的低增益值，以实现高于阈值高噪声电平的大噪声抑制。使用噪声功率相关函数，例如对数线性插值来计算阈值之间的增益。可以通过基于先前帧的增益值修改增益值来执行平滑化。还描述了通过步进自适应识别学习算法在降噪中使用的学习参数。

50. 发明申请

US20100070279A1 PIECEWISE-BASED VARIABLE -PARAMETER HIDDEN MARKOV MODELS AND THE TRAINING THEREOF 有权
标题翻译：基于改进的可变参数隐藏式MARKOV模型及其训练
公开(公告)号：US20100070279A1
公开(公告)日：2010-03-18
申请号：US12211114
申请日：2008-09-16
申请人： Dong Yu , Li Deng , Yifan Gong , Alejandro Acero
发明人： Dong Yu , Li Deng , Yifan Gong , Alejandro Acero
IPC分类号： G10L15/14
CPC分类号： G10L15/144
摘要： A speech recognition system uses Gaussian mixture variable-parameter hidden Markov models (VPHMMs) to recognize speech under many different conditions. Each Gaussian mixture component of the VPHMMs is characterized by a mean parameter μ and a variance parameter Σ. Each of these Gaussian parameters varies as a function of at least one environmental conditioning parameter, such as, but not limited to, instantaneous signal-to-noise-ratio (SNR). The way in which a Gaussian parameter varies with the environmental conditioning parameter(s) can be approximated as a piecewise function, such as a cubic spline function. Further, the recognition system formulates the mean parameter μ and the variance parameter Σ of each Gaussian mixture component in an efficient form that accommodates the use of discriminative training and parameter sharing. Parameter sharing is carried out so that the otherwise very large number of parameters in the VPHMMs can be effectively reduced with practically feasible amounts of training data.
摘要翻译：语音识别系统使用高斯混合可变参数隐马尔可夫模型（VPHMM）来识别许多不同条件下的语音。 VPHMM的每个高斯混合分量的特征在于平均参数μ和方差参数＆Sgr。这些高斯参数中的每一个作为至少一个环境调节参数的函数而变化，例如但不限于瞬时信噪比（SNR）。高斯参数随环境条件参数变化的方式可以近似为分段函数，如三次样条函数。此外，识别系统制定均值参数μ和方差参数＆Sgr; 每个高斯混合分量以有效的形式适应使用歧视性训练和参数共享。执行参数共享，以便通过实际可行的训练数据量可以有效地减少VPHMM中非常大量的参数。

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