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Book ; Online: X-SepFormer

Liu, Kai / Du, Ziqing / Wan, Xucheng / Zhou, Huan

End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion

2023

Abstract: ... distribution information. On this basis, we present X-SepFormer, an end-to-end TSE model with proposed loss schemes and ...

Abstract	Target speech extraction (TSE) systems are designed to extract target speech from a multi-talker mixture. The popular training objective for most prior TSE networks is to enhance reconstruction performance of extracted speech waveform. However, it has been reported that a TSE system delivers high reconstruction performance may still suffer low-quality experience problems in practice. One such experience problem is wrong speaker extraction (called speaker confusion, SC), which leads to strong negative experience and hampers effective conversations. To mitigate the imperative SC issue, we reformulate the training objective and propose two novel loss schemes that explore the metric of reconstruction improvement performance defined at small chunk-level and leverage the metric associated distribution information. Both loss schemes aim to encourage a TSE network to pay attention to those SC chunks based on the said distribution information. On this basis, we present X-SepFormer, an end-to-end TSE model with proposed loss schemes and a backbone of SepFormer. Experimental results on the benchmark WSJ0-2mix dataset validate the effectiveness of our proposals, showing consistent improvements on SC errors (by 14.8% relative). Moreover, with SI-SDRi of 19.4 dB and PESQ of 3.81, our best system significantly outperforms the current SOTA systems and offers the top TSE results reported till date on the WSJ0-2mix. Comment: Accepted by ICASSP 2023
Keywords	Electrical Engineering and Systems Science - Audio and Speech Processing ; Computer Science - Artificial Intelligence ; Computer Science - Sound
Subject code	006
Publishing date	2023-03-08
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A Case of Female X-linked Chronic Granulomatous Disease Caused by X Chromosome Inactivation Treated with Hematopoietic Stem Cell Transplantation and Literature Review.

Lu, Wei / Xi, Xiaoqin / Jing, Yuanfang / Si, Yingjian / Du, Zhenlan / Wang, Ya / Chen, Wei / Tang, Xiangfeng

Alternative therapies in health and medicine

2024

Abstract: Objective: X-linked chronic granulomatous disease (X-CGD) is a rare primary immunodeficiency ... to biased X chromosome inactivation.1 This study aims to enhance the understanding of X-CGD in a rare case ... utilized various methods to investigate X-CGD in children and their parents. These methods included ...

Abstract	Objective: X-linked chronic granulomatous disease (X-CGD) is a rare primary immunodeficiency disease characterized by phagocyte dysfunction. It is caused by genetic mutations in the CYBB gene, predominantly affecting males. However, a small number of female carriers can also present with the disease due to biased X chromosome inactivation.1 This study aims to enhance the understanding of X-CGD in a rare case of an infant and young woman and provide insights into its diagnosis and treatment. Methodology: This study utilized various methods to investigate X-CGD in children and their parents. These methods included assessing neutrophil respiratory burst function, measuring gp91phox protein expression, analyzing chronic granuloma enzyme levels, conducting whole exon gene analysis, and evaluating X chromosome inactivation. Additionally, hematopoietic stem cell transplantation was performed using haploidentical donors from immediate family members. Results: The children in this study were found to be carriers of the CYBB gene mutation, and their neutrophil respiratory burst function was abnormal with no expression of the gp91phox protein. X chromosome inactivation analysis revealed a rate of 99.5%. Following hematopoietic stem cell transplantation, there was successful engraftment of granulocytes and megakaryocytes, with normalization of gene and enzyme examinations. Conclusion: The findings of this study highlight the importance of considering X-CGD in the diagnosis of children and women presenting with granulomatous disease. Furthermore, the use of hematopoietic stem cell transplantation was shown to achieve significant therapeutic effects in the treatment of X-CGD. Further research is warranted to explore early diagnostic strategies for X-CGD and to optimize the use of hematopoietic stem cell transplantation in managing the disease. Early diagnosis and intervention can lead to improved outcomes for patients with X-CGD. This study contributes to the understanding of X-CGD and its treatment by demonstrating the possibility of X-CGD in female carriers and the efficacy of hematopoietic stem cell transplantation. These findings emphasize the importance of early diagnosis and highlight the potential for successful outcomes in the management of X-CGD.
Language	English
Publishing date	2024-03-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	1225073-9
ISSN	1078-6791
ISSN	1078-6791
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks.

Chen, Wutong / Junsheng, Du / Chen, Yanzhen / Fan, Yifeng / Liu, Hengzhi / Tan, Chang / Shao, Xuanming / Li, Xinzhi

Journal of imaging informatics in medicine

2024

Abstract: ... of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 ... lumbar lateral and dynamic X-ray images were collected from two tertiary hospitals. These images were ...

Abstract	We aimed to develop and validate a deep convolutional neural network (DCNN) model capable of accurately identifying spondylolysis or spondylolisthesis on lateral or dynamic X-ray images. A total of 2449 lumbar lateral and dynamic X-ray images were collected from two tertiary hospitals. These images were categorized into lumbar spondylolysis (LS), degenerative lumbar spondylolisthesis (DLS), and normal lumbar in a proportional manner. Subsequently, the images were randomly divided into training, validation, and test sets to establish a classification recognition network. The model training and validation process utilized the EfficientNetV2-M network. The model's ability to generalize was assessed by conducting a rigorous evaluation on an entirely independent test set and comparing its performance with the diagnoses made by three orthopedists and three radiologists. The evaluation metrics employed to assess the model's performance included accuracy, sensitivity, specificity, and F1 score. Additionally, the weight distribution of the network was visualized using gradient-weighted class activation mapping (Grad-CAM). For the doctor group, accuracy ranged from 87.9 to 90.0% (mean, 89.0%), precision ranged from 87.2 to 90.5% (mean, 89.0%), sensitivity ranged from 87.1 to 91.0% (mean, 89.2%), specificity ranged from 93.7 to 94.7% (mean, 94.3%), and F1 score ranged from 88.2 to 89.9% (mean, 89.1%). The DCNN model had accuracy of 92.0%, precision of 91.9%, sensitivity of 92.2%, specificity of 95.7%, and F1 score of 92.0%. Grad-CAM exhibited concentrations of highlighted areas in the intervertebral foraminal region. We developed a DCNN model that intelligently distinguished spondylolysis or spondylolisthesis on lumbar lateral or lumbar dynamic radiographs.
Language	English
Publishing date	2024-04-18
Publishing country	Switzerland
Document type	Journal Article
ISSN	2948-2933
ISSN (online)	2948-2933
DOI	10.1007/s10278-024-01115-9
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Giant X-Ray Circular Dichroism in a Time-Reversal Invariant Antiferromagnet.

Okamoto, Jun / Wang, Ru-Pan / Chu, Yen-Yi / Shiu, Hung-Wei / Singh, Amol / Huang, Hsiao-Yu / Mou, Chung-Yu / Teh, Sukhito / Jeng, Horng-Tay / Du, Kai / Xu, Xianghan / Cheong, Sang-Wook / Du, Chao-Hung / Chen, Chien-Te / Fujimori, Atsushi / Huang, Di-Jing

Advanced materials (Deerfield Beach, Fla.)

2024 , Page(s) e2309172

Abstract: X-ray circular dichroism, arising from the contrast in X-ray absorption between opposite photon ... X-ray magnetic circular dichroism because of time-reversal symmetry, yet exhibit weak X-ray natural ...

Abstract	X-ray circular dichroism, arising from the contrast in X-ray absorption between opposite photon helicities, serves as a spectroscopic tool to measure the magnetization of ferromagnetic materials and identify the handedness of chiral crystals. Antiferromagnets with crystallographic chirality typically lack X-ray magnetic circular dichroism because of time-reversal symmetry, yet exhibit weak X-ray natural circular dichroism. Here, the observation of giant natural circular dichroism in the Ni L
Language	English
Publishing date	2024-02-23
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1474949-X
ISSN	1521-4095 ; 0935-9648
ISSN (online)	1521-4095
ISSN	0935-9648
DOI	10.1002/adma.202309172
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Breast cancer cells have an increased ferroptosis risk induced by system x

Xue, Wenwen / Yu, Ying / Yao, Yongzhong / Zhou, Lin / Huang, Ying / Wang, Yixuan / Chen, Zhixiu / Wang, Liwei / Li, Xinran / Wang, Xiaoning / Du, Ronghui / Shen, Yan / Xu, Qiang

Redox biology

2024 Volume 70, Page(s) 103034

Abstract: ... expression showed hypersensitivity to system x ...

Abstract	Cytokine-like protein 1 (CYTL1) expression is deliberately downregulated during the progression of multiple types of cancers, especially breast cancer. However, the metabolic characteristics of cancer progression remain unclear. Here, we uncovered a risk of breast cancer cells harboring low CYTL1 expression, which is metabolically controlled during malignant progression. We performed metabolism comparison and revealed that breast cancer cells with low CYTL1 expression have highly suppressed transsulfuration activity that is driven by cystathionine β-synthase (CBS) and contributes to de novo cysteine synthesis. Mechanistically, CYTL1 activated Nrf2 by promoting autophagic Keap1 degradation, and Nrf2 subsequently transactivated CBS expression. Due to the lack of cellular cysteine synthesis, breast cancer cells with low CYTL1 expression showed hypersensitivity to system x
MeSH term(s)	Humans ; Female ; Kelch-Like ECH-Associated Protein 1/metabolism ; Breast Neoplasms/genetics ; Ferroptosis ; NF-E2-Related Factor 2/genetics ; NF-E2-Related Factor 2/metabolism ; Cysteine ; Cystathionine beta-Synthase/metabolism ; Blood Proteins/metabolism ; Cytokines/metabolism
Chemical Substances	Kelch-Like ECH-Associated Protein 1 ; NF-E2-Related Factor 2 ; Cysteine (K848JZ4886) ; Cystathionine beta-Synthase (EC 4.2.1.22) ; CYTL1 protein, human ; Blood Proteins ; Cytokines
Language	English
Publishing date	2024-01-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2701011-9
ISSN	2213-2317 ; 2213-2317
ISSN (online)	2213-2317
ISSN	2213-2317
DOI	10.1016/j.redox.2024.103034
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Open X-Embodiment

Collaboration, Open X-Embodiment / Padalkar, Abhishek / Pooley, Acorn / Mandlekar, Ajay / Jain, Ajinkya / Tung, Albert / Bewley, Alex / Herzog, Alex / Irpan, Alex / Khazatsky, Alexander / Rai, Anant / Singh, Anikait / Garg, Animesh / Brohan, Anthony / Raffin, Antonin / Wahid, Ayzaan / Burgess-Limerick, Ben / Kim, Beomjoon / Schölkopf, Bernhard /

Ichter, Brian / Lu, Cewu / Xu, Charles / Finn, Chelsea / Xu, Chenfeng / Chi, Cheng / Huang, Chenguang / Chan, Christine / Pan, Chuer / Fu, Chuyuan / Devin, Coline / Driess, Danny / Pathak, Deepak / Shah, Dhruv / Büchler, Dieter / Kalashnikov, Dmitry / Sadigh, Dorsa / Johns, Edward / Ceola, Federico / Xia, Fei / Stulp, Freek / Zhou, Gaoyue / Sukhatme, Gaurav S. / Salhotra, Gautam / Yan, Ge / Schiavi, Giulio / Kahn, Gregory / Su, Hao / Fang, Hao-Shu / Shi, Haochen / Amor, Heni Ben / Christensen, Henrik I / Furuta, Hiroki / Walke, Homer / Fang, Hongjie / Mordatch, Igor / Radosavovic, Ilija / Leal, Isabel / Liang, Jacky / Abou-Chakra, Jad / Kim, Jaehyung / Peters, Jan / Schneider, Jan / Hsu, Jasmine / Bohg, Jeannette / Bingham, Jeffrey / Wu, Jiajun / Wu, Jialin / Luo, Jianlan / Gu, Jiayuan / Tan, Jie / Oh, Jihoon / Malik, Jitendra / Booher, Jonathan / Tompson, Jonathan / Yang, Jonathan / Lim, Joseph J. / Silvério, João / Han, Junhyek / Rao, Kanishka / Pertsch, Karl / Hausman, Karol / Go, Keegan / Gopalakrishnan, Keerthana / Goldberg, Ken / Byrne, Kendra / Oslund, Kenneth / Kawaharazuka, Kento / Zhang, Kevin / Rana, Krishan / Srinivasan, Krishnan / Chen, Lawrence Yunliang / Pinto, Lerrel / Fei-Fei, Li / Tan, Liam / Ott, Lionel / Lee, Lisa / Tomizuka, Masayoshi / Spero, Max / Du, Maximilian / Ahn, Michael / Zhang, Mingtong / Ding, Mingyu / Srirama, Mohan Kumar / Sharma, Mohit / Kim, Moo Jin / Kanazawa, Naoaki / Hansen, Nicklas / Heess, Nicolas / Joshi, Nikhil J / Suenderhauf, Niko / Di Palo, Norman / Shafiullah, Nur Muhammad Mahi / Mees, Oier / Kroemer, Oliver / Sanketi, Pannag R / Wohlhart, Paul / Xu, Peng / Sermanet, Pierre / Sundaresan, Priya / Vuong, Quan / Rafailov, Rafael / Tian, Ran / Doshi, Ria / Martín-Martín, Roberto / Mendonca, Russell / Shah, Rutav / Hoque, Ryan / Julian, Ryan / Bustamante, Samuel / Kirmani, Sean / Levine, Sergey / Moore, Sherry / Bahl, Shikhar / Dass, Shivin / Sonawani, Shubham / Song, Shuran / Xu, Sichun / Haldar, Siddhant / Adebola, Simeon / Guist, Simon / Nasiriany, Soroush / Schaal, Stefan / Welker, Stefan / Tian, Stephen / Dasari, Sudeep / Belkhale, Suneel / Osa, Takayuki / Harada, Tatsuya / Matsushima, Tatsuya / Xiao, Ted / Yu, Tianhe / Ding, Tianli / Davchev, Todor / Zhao, Tony Z. / Armstrong, Travis / Darrell, Trevor / Jain, Vidhi / Vanhoucke, Vincent / Zhan, Wei / Zhou, Wenxuan / Burgard, Wolfram / Chen, Xi / Wang, Xiaolong / Zhu, Xinghao / Li, Xuanlin / Lu, Yao / Chebotar, Yevgen / Zhou, Yifan / Zhu, Yifeng / Xu, Ying / Wang, Yixuan / Bisk, Yonatan / Cho, Yoonyoung / Lee, Youngwoon / Cui, Yuchen / Wu, Yueh-Hua / Tang, Yujin / Zhu, Yuke / Li, Yunzhu / Iwasawa, Yusuke / Matsuo, Yutaka / Xu, Zhuo / Cui, Zichen Jeff

Robotic Learning Datasets and RT-X Models

2023

Abstract: ... generalist X-robot policy that can be adapted efficiently to new robots, tasks, and environments ... of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration ... trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities ...

Abstract	Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for many applications. Can such a consolidation happen in robotics? Conventionally, robotic learning methods train a separate model for every application, every robot, and even every environment. Can we instead train generalist X-robot policy that can be adapted efficiently to new robots, tasks, and environments? In this paper, we provide datasets in standardized data formats and models to make it possible to explore this possibility in the context of robotic manipulation, alongside experimental results that provide an example of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms. More details can be found on the project website $\href{https://robotics-transformer-x.github.io}{\text{robotics-transformer-x.github.io}}$.
Keywords	Computer Science - Robotics
Subject code	629
Publishing date	2023-10-13
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A DMD case caused by X chromosome rearrangement.

Hu, Hao / Yang, Xiao-Wen / Cheng, De-Hua / Li, Xiu-Rong / He, Wen-Bin / Hu, Xiao / Gao, Bo-di / Zhao, Xiao-Meng / Zhang, Qian-Jun / Du, Juan / Liu, Ji-Yang / Lu, Guang-Xiu / Ge, Lin / Li, Wen

Yi chuan = Hereditas

2023 Volume 45, Issue 1, Page(s) 88–95

Abstract: ... muscular dystrophy diseases with X-linked recessive inheritance. It is mainly caused by the deletion, duplication and ...

Abstract	Duchenne/Becker muscular dystrophy (DMD/BMD) is one of the most common progressive muscular dystrophy diseases with X-linked recessive inheritance. It is mainly caused by the deletion, duplication and point mutation of
MeSH term(s)	Humans ; Muscular Dystrophy, Duchenne/genetics ; Muscular Dystrophy, Duchenne/diagnosis ; Dystrophin/genetics ; Genetic Testing ; Gene Rearrangement/genetics ; X Chromosome ; Sulfotransferases/genetics
Chemical Substances	Dystrophin ; HS6ST2 protein, human (EC 2.8.2.-) ; Sulfotransferases (EC 2.8.2.-)
Language	English
Publishing date	2023-03-16
Publishing country	China
Document type	Case Reports ; Journal Article
ISSN	0253-9772
ISSN	0253-9772
DOI	10.16288/j.yczz.22-179
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Observation of J/ψ Electromagnetic Dalitz Decays to X(1835), X(2120), and X(2370).

Ablikim, M / Achasov, M N / Adlarson, P / Ahmed, S / Albrecht, M / Aliberti, R / Amoroso, A / An, M R / An, Q / Bai, X H / Bai, Y / Bakina, O / Baldini Ferroli, R / Balossino, I / Ban, Y / Begzsuren, K / Berger, N / Bertani, M / Bettoni, D /

Bianchi, F / Bloms, J / Bortone, A / Boyko, I / Briere, R A / Cai, H / Cai, X / Calcaterra, A / Cao, G F / Cao, N / Cetin, S A / Chang, J F / Chang, W L / Chelkov, G / Chen, D Y / Chen, G / Chen, H S / Chen, M L / Chen, S J / Chen, X R / Chen, Y B / Chen, Z J / Cheng, W S / Cibinetto, G / Cossio, F / Cui, X F / Dai, H L / Dai, X C / Dbeyssi, A / de Boer, R E / Dedovich, D / Deng, Z Y / Denig, A / Denysenko, I / Destefanis, M / De Mori, F / Ding, Y / Dong, C / Dong, J / Dong, L Y / Dong, M Y / Dong, X / Du, S X / Fan, Y L / Fang, J / Fang, S S / Fang, Y / Farinelli, R / Fava, L / Feldbauer, F / Felici, G / Feng, C Q / Feng, J H / Fritsch, M / Fu, C D / Gao, Y / Gao, Y G / Garzia, I / Ge, P T / Geng, C / Gersabeck, E M / Gilman, A / Goetzen, K / Gong, L / Gong, W X / Gradl, W / Greco, M / Gu, L M / Gu, M H / Gu, S / Gu, Y T / Guan, C Y / Guo, A Q / Guo, L B / Guo, R P / Guo, Y P / Guskov, A / Han, T T / Han, W Y / Hao, X Q / Harris, F A / He, K L / Heinsius, F H / Heinz, C H / Held, T / Heng, Y K / Herold, C / Himmelreich, M / Holtmann, T / Hou, G Y / Hou, Y R / Hou, Z L / Hu, H M / Hu, J F / Hu, T / Hu, Y / Huang, G S / Huang, L Q / Huang, X T / Huang, Y P / Huang, Z / Hussain, T / Hüsken, N / Ikegami Andersson, W / Imoehl, W / Irshad, M / Jaeger, S / Janchiv, S / Ji, Q / Ji, Q P / Ji, X B / Ji, X L / Ji, Y Y / Jiang, H B / Jiang, X S / Jiao, J B / Jiao, Z / Jin, S / Jin, Y / Jing, M Q / Johansson, T / Kalantar-Nayestanaki, N / Kang, X S / Kappert, R / Kavatsyuk, M / Ke, B C / Keshk, I K / Khoukaz, A / Kiese, P / Kiuchi, R / Kliemt, R / Koch, L / Kolcu, O B / Kopf, B / Kuemmel, M / Kuessner, M / Kupsc, A / Kurth, M G / Kühn, W / Lane, J J / Lange, J S / Larin, P / Lavania, A / Lavezzi, L / Lei, Z H / Leithoff, H / Lellmann, M / Lenz, T / Li, C / Li, C H / Li, Cheng / Li, D M / Li, F / Li, G / Li, H / Li, H B / Li, H J / Li, J L / Li, J Q / Li, J S / Li, Ke / Li, L K / Li, Lei / Li, P R / Li, S Y / Li, W D / Li, W G / Li, X H / Li, X L / Li, Xiaoyu / Li, Z Y / Liang, H / Liang, Y F / Liang, Y T / Liao, G R / Liao, L Z / Libby, J / Lin, C X / Liu, B J / Liu, C X / Liu, D / Liu, F H / Liu, Fang / Liu, Feng / Liu, H B / Liu, H M / Liu, Huanhuan / Liu, Huihui / Liu, J B / Liu, J L / Liu, J Y / Liu, K / Liu, K Y / Liu, L / Liu, M H / Liu, P L / Liu, Q / Liu, S B / Liu, Shuai / Liu, T / Liu, W M / Liu, X / Liu, Y / Liu, Y B / Liu, Z A / Liu, Z Q / Lou, X C / Lu, F X / Lu, H J / Lu, J D / Lu, J G / Lu, X L / Lu, Y / Lu, Y P / Luo, C L / Luo, M X / Luo, P W / Luo, T / Luo, X L / Lyu, X R / Ma, F C / Ma, H L / Ma, L L / Ma, M M / Ma, Q M / Ma, R Q / Ma, R T / Ma, X X / Ma, X Y / Maas, F E / Maggiora, M / Maldaner, S / Malde, S / Malik, Q A / Mangoni, A / Mao, Y J / Mao, Z P / Marcello, S / Meng, Z X / Messchendorp, J G / Mezzadri, G / Min, T J / Mitchell, R E / Mo, X H / Mo, Y J / Muchnoi, N Yu / Muramatsu, H / Nakhoul, S / Nefedov, Y / Nerling, F / Nikolaev, I B / Ning, Z / Nisar, S / Olsen, S L / Ouyang, Q / Pacetti, S / Pan, X / Pan, Y / Pathak, A / Patteri, P / Pelizaeus, M / Peng, H P / Peters, K / Pettersson, J / Ping, J L / Ping, R G / Poling, R / Prasad, V / Qi, H / Qi, H R / Qi, K H / Qi, M / Qi, T Y / Qian, S / Qian, W B / Qian, Z / Qiao, C F / Qin, L Q / Qin, X P / Qin, X S / Qin, Z H / Qiu, J F / Qu, S Q / Rashid, K H / Ravindran, K / Redmer, C F / Rivetti, A / Rodin, V / Rolo, M / Rong, G / Rosner, Ch / Rump, M / Sang, H S / Sarantsev, A / Schelhaas, Y / Schnier, C / Schoenning, K / Scodeggio, M / Shan, D C / Shan, W / Shan, X Y / Shangguan, J F / Shao, M / Shen, C P / Shen, H F / Shen, P X / Shen, X Y / Shi, H C / Shi, R S / Shi, X / Shi, X D / Song, J J / Song, W M / Song, Y X / Sosio, S / Spataro, S / Su, K X / Su, P P / Sui, F F / Sun, G X / Sun, H K / Sun, J F / Sun, L / Sun, S S / Sun, T / Sun, W Y / Sun, X / Sun, Y J / Sun, Y K / Sun, Y Z / Sun, Z T / Tan, Y H / Tan, Y X / Tang, C J / Tang, G Y / Tang, J / Teng, J X / Thoren, V / Tian, W H / Tian, Y T / Uman, I / Wang, B / Wang, C W / Wang, D Y / Wang, H J / Wang, H P / Wang, K / Wang, L L / Wang, M / Wang, M Z / Wang, Meng / Wang, W / Wang, W H / Wang, W P / Wang, X / Wang, X F / Wang, X L / Wang, Y / Wang, Y D / Wang, Y F / Wang, Y Q / Wang, Y Y / Wang, Z / Wang, Z Y / Wang, Ziyi / Wang, Zongyuan / Wei, D H / Weidner, F / Wen, S P / White, D J / Wiedner, U / Wilkinson, G / Wolke, M / Wollenberg, L / Wu, J F / Wu, L H / Wu, L J / Wu, X / Wu, Z / Xia, L / Xiao, H / Xiao, S Y / Xiao, Z J / Xie, X H / Xie, Y G / Xie, Y H / Xing, T Y / Xu, G F / Xu, Q J / Xu, W / Xu, X P / Xu, Y C / Yan, F / Yan, L / Yan, W B / Yan, W C / Yan, Xu / Yang, H J / Yang, H X / Yang, L / Yang, S L / Yang, Y X / Yang, Yifan / Yang, Zhi / Ye, M / Ye, M H / Yin, J H / You, Z Y / Yu, B X / Yu, C X / Yu, G / Yu, J S / Yu, T / Yuan, C Z / Yuan, L / Yuan, X Q / Yuan, Y / Yuan, Z Y / Yue, C X / Yuncu, A / Zafar, A A / Zeng, X / Zeng, Y / Zhang, A Q / Zhang, B X / Zhang, Guangyi / Zhang, H / Zhang, H H / Zhang, H Y / Zhang, J J / Zhang, J L / Zhang, J Q / Zhang, J W / Zhang, J Y / Zhang, J Z / Zhang, Jianyu / Zhang, Jiawei / Zhang, L M / Zhang, L Q / Zhang, Lei / Zhang, S / Zhang, S F / Zhang, Shulei / Zhang, X D / Zhang, X Y / Zhang, Y / Zhang, Y H / Zhang, Y T / Zhang, Yan / Zhang, Yao / Zhang, Yi / Zhang, Z H / Zhang, Z Y / Zhao, G / Zhao, J / Zhao, J Y / Zhao, J Z / Zhao, Lei / Zhao, Ling / Zhao, M G / Zhao, Q / Zhao, S J / Zhao, Y B / Zhao, Y X / Zhao, Z G / Zhemchugov, A / Zheng, B / Zheng, J P / Zheng, Y / Zheng, Y H / Zhong, B / Zhong, C / Zhou, L P / Zhou, Q / Zhou, X / Zhou, X K / Zhou, X R / Zhou, X Y / Zhu, A N / Zhu, J / Zhu, K / Zhu, K J / Zhu, S H / Zhu, T J / Zhu, W J / Zhu, Y C / Zhu, Z A / Zou, B S / Zou, J H

Physical review letters

2022 Volume 129, Issue 2, Page(s) 22002

Abstract: ... and η^{'}→π^{+}π^{-}η, have been studied. The decay J/ψ→e^{+}e^{-}X(1835) is observed ... with a significance of 15σ, and also an e^{+}e^{-} invariant-mass dependent transition form factor of J/ψ→e^{+}e^{-}X ... 1835) is presented for the first time. The intermediate states X(2120) and X(2370) are also observed ...

Abstract	Using a sample of about 10^{10} J/ψ events collected at a center-of-mass energy sqrt[s]=3.097 GeV with the BESIII detector, the electromagnetic Dalitz decays J/ψ→e^{+}e^{-}π^{+}π^{-}η^{'}, with η^{'}→γπ^{+}π^{-} and η^{'}→π^{+}π^{-}η, have been studied. The decay J/ψ→e^{+}e^{-}X(1835) is observed with a significance of 15σ, and also an e^{+}e^{-} invariant-mass dependent transition form factor of J/ψ→e^{+}e^{-}X(1835) is presented for the first time. The intermediate states X(2120) and X(2370) are also observed in the π^{+}π^{-}η^{'} invariant-mass spectrum with significances of 5.3σ and 7.3σ. The corresponding product branching fractions for J/ψ→e^{+}e^{-}X, X→π^{+}π^{-}η^{'} [X=X(1835), X(2120), and X(2370)] are reported.
Language	English
Publishing date	2022-07-22
Publishing country	United States
Document type	Journal Article
ZDB-ID	208853-8
ISSN	1079-7114 ; 0031-9007
ISSN (online)	1079-7114
ISSN	0031-9007
DOI	10.1103/PhysRevLett.129.022002
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book ; Online: Chemist-X

Chen, Kexin / Li, Junyou / Wang, Kunyi / Du, Yuyang / Yu, Jiahui / Lu, Jiamin / Li, Lanqing / Qiu, Jiezhong / Pan, Jianzhang / Huang, Yi / Fang, Qun / Heng, Pheng Ann / Chen, Guangyong

Large Language Model-empowered Agent for Reaction Condition Recommendation in Chemical Synthesis

2023

Abstract: ... society. This study proposes Chemist-X, a transformative AI agent that automates the reaction condition ... expert chemists' strategies when solving RCR tasks, Chemist-X utilizes advanced RAG schemes ... within its training data. Chemist-X considerably reduces chemists' workload and allows them to focus on more ...

Abstract	Recent AI research plots a promising future of automatic chemical reactions within the chemistry society. This study proposes Chemist-X, a transformative AI agent that automates the reaction condition recommendation (RCR) task in chemical synthesis with retrieval-augmented generation (RAG) technology. To emulate expert chemists' strategies when solving RCR tasks, Chemist-X utilizes advanced RAG schemes to interrogate online molecular databases and distill critical data from the latest literature database. Further, the agent leverages state-of-the-art computer-aided design (CAD) tools with a large language model (LLM) supervised programming interface. With the ability to utilize updated chemical knowledge and CAD tools, our agent significantly outperforms conventional synthesis AIs confined to the fixed knowledge within its training data. Chemist-X considerably reduces chemists' workload and allows them to focus on more fundamental and creative problems, thereby bringing closer computational techniques and chemical research and making a remarkable leap toward harnessing AI's full capabilities in scientific discovery.
Keywords	Computer Science - Information Retrieval ; Computer Science - Artificial Intelligence
Subject code	006
Publishing date	2023-11-15
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Lieu(x) d'écriture et écriture de lieu(x) : topographie du réel et de l'imaginaire

Czerny, Boris / Leroy du Cardonnoy, Éric

Hommages à Anne-Marie Gresser

(Miscellanea)

2015

Series title	Miscellanea
Keywords	Literature: history & criticism ; Literary theory ; Gresser (Anne-Marie) ; création littéraire ; littérature d'exil ; lieux imaginaires ; cadre du récit
Language	fra
Size	1 electronic resource (208 pages)
Publisher	Presses universitaires de Caen
Publishing place	Caen
Document type	Book ; Online
Note	French
HBZ-ID	HT030647341
ISBN	9782841335046 ; 2841335046
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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