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949 results on '"Li, Jinxin"'

152. 1-bit Low-Cost Electronically Reconfigurable Reflectarray and Phased Array Based on p-i-n Diodes for Dynamic Beam Scanning

Author

Ning, Yuanfan, Zhu, Shichao, Chu, Hongbo, Zou, Qi, Zhang, Chao, Li, Jinxin, Xiao, Pei, and Li, Gaosheng

Abstract

This work proposes an element with a 1-bit phase resolution that operates in both reflection and radiation modes. The 1-bit phase responses in two operating modes can be realized by switching the states of three integrated p-i-n diodes. The array composed of the elements can be excited as both a reflectarray (RA) by the external feed in space and a phased array (PA) without phase shifters by the integrated feeding network at its bottom. Drawing inspiration from the RA, the feeding network introduces initial phase distributions irradiated by a hypothetical spatial feed above the PA to mitigate the grating lobes of the 1-bit PA. An electronically reconfigurable array antenna prototype composed of 8 $\times $ 16 elements was manufactured and measured to verify its performance. The experimental results indicate that the designed array antenna can realize dynamic beam scanning in the range of ±45° in E-plane and ±30° in H-plane within less than 3 dB gain loss, verifying its feasibility for both RA and PA applications.

Published
2024
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156. Evaluating Pile-Supported Embankment Considering the Soil Anisotropy Effect.

Author

Zhuang, Yan, Chen, Jie, Wang, Yunlong, Fan, Hu, Chen, Zhi, and Li, Jinxin

Subjects
EMBANKMENTS, SOIL cohesion, ANISOTROPY, SOILS, STRAINS & stresses (Mechanics)
Abstract

Featured Application: This paper focuses on the redevelopment of the ABAQUS finite element software using the improved Mohr–Coulomb model, which enables the consideration of soil anisotropy. The findings of this research provide valuable theoretical guidance for on-site construction design, helping to prevent potential hazards arising from incomplete considerations during construction. It is an economical way to use the pile-supported embankment for the construction of the embankment over soft soil. The combined use of piles and reinforcement effectively reduces the differential settlement of the embankment surface. However, the previous analysis of embankment stress and settlement did not take into account the anisotropy in the embankment filler. In this paper, the UMAT subroutine is developed by using the material subroutine interface in ABAQUS 2016 finite element software. The anisotropy of soil cohesion and friction angle has been incorporated into the Mohr–Coulomb yield criterion so that it can consider the anisotropy of soil. The accuracy of the anisotropic yield criterion in this paper is verified by an ABAQUS source program and related engineering examples. It is found that the anisotropy value of soil cohesion is inversely proportional to the stress ratio on the pile–soil interface while being directly proportional to the tensile stress applied to the geogrid. The results show that the anisotropy of the friction angle decreases with the soil arching effect but increases by 23.1% with the tensile stress on the geogrid. The position of the settlement plane remains relatively constant at 2.3 m as the friction angle anisotropy coefficient increases. These research results provide valuable theoretical guidance for on-site construction design. [ABSTRACT FROM AUTHOR]

Published
2023
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168. Effect of fiber‐bound polyphenols from highland barley on lipid oxidation products of cooked pork during in vitro gastrointestinal digestion.

Author

Li, Jinxin, Zhang, Hao, Yang, Xijuan, Zhu, Ling, Wu, Gangcheng, Qi, Xiguang, Zhang, Hui, Wang, Yongjin, and Chen, Xiaoyu

Subjects
*PLANT polyphenols, *PORK products, *POLYPHENOLS, *BARLEY, *DIGESTION, *UPLANDS, *LIPIDS
Abstract

BACKGROUND: The gastrointestinal (GI) tract is a major site of lipid oxidation, and the lipid oxidation products are related to an increased risk of various chronic diseases. In this study, the inhibition capacity of bound‐polyphenol rich insoluble dietary fiber (BP‐IDF) from highland barley (HB) to lipid oxidation was evaluated during simulated GI digestion. RESULTS: We found that the level of lipid hydroperoxides (LOOH) and aldehydes were significantly inhibited when highland barley bound‐polyphenol rich insoluble dietary fiber (HBBP‐IDF) co‐digestion with cooked pork. The lipid oxidation products were more effectively scavenged during simulated gastric digestion, with inhibition of 77.4% for LOOH, 52.3% for malondialdehyde, 46.5% for 4‐hydroxy‐2‐hexenal and 48.7% for 4‐hydroxy‐2‐nonenel, respectively. The fiber‐bound polyphenols are the principal scavengers of lipid oxidation products. CONCLUSION: These findings suggest that HBBP‐IDF could be used as a functional ingredient able to scavenge lipid oxidation products across the GI tract. © 2023 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Published
2023
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179. Immunity: Psoriasis comorbid with atherosclerosis

Author

Liu, Chunping, primary, Chen, Huiqi, additional, Liu, Yanjiao, additional, Huang, Haiding, additional, Yu, Wanling, additional, Du, Tingting, additional, Long, Xinyao, additional, Chen, Xinming, additional, Chen, Zhijun, additional, Guo, Sien, additional, Li, Jinxin, additional, Jiang, Zebo, additional, Wang, Lei, additional, and Lu, Chuanjian, additional

Published
2022
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189. Hyperon signatures in the PANDA experiment at FAIR

Author

Abazov, Viktor, Abramov, Victor, Achenbach, Patrick, Afedulidis, Orestis, Ahrens, Lennart, Akram, Adeel, Al-Turany, Mohammad, Albrecht, Malte, Alexeev, Gennady, Ali, Ahmed, Alicke, Anna, Amsler, Claude, Antokhin, Evgeny, Appagere, Gandharva, Augustin, Ingo, Azizi, Kazem, Balanutsa, Pavel, Balashoff, Alexander, Barnyakov, Alexander Yu., Barucca, Gianni, Belias, Anastasios, Beloborodov, Konstantin, Bergert, Roman, Bianconi, Andrea, Bleser, Sebastian, Blinov, Alexander E., Blinov, Vladimir E., Bloms, Johannes, Boca, Gianluigi, Bodenschatz, Simon, Boelger, Niels, Böhm, Merlin, Böhm, Ralph, Bökelmann, Stephan, Bölting, Michael, Bonaventura, Daniel, Boukharov, Alexander, Bracco, Gianangelo, Bragadireanu, Mario, Brand, Philipp, Brinkmann, Kai-Thomas, Brück, Lisa, Bukharova, Marina, Bukreeva, Sofia, Bumrungkoh, Denchay, Bussa, Maria Pia, Calen, Hans, Calvo, Daniela, Capozza, Luigi, Caselle, Michele, Cederwall, Bo, Chauhan, Vinee, Chernetsky, Viacheslav, Chilingaryan, Suren, Coen, Sebastian, Corell, Oliver, Crede, Volker, Dav`ı, Fabrizio, de Boer, Remco, De Remigis, Paolo, Demekhin, Alexey, Denig, Achim, Denizli, Haluk, Deppe, Harald, Derichs, Artur, Diehl, Stefan, Dippel, Lara, Dobbs, Sean, Dodokhov, Valery Kh., Dolgolenko, Anatoly, Domagala, Mariusz, Monasterio, Maria Doncel, Dormenev, Valery, Dosdall, Rene, Dritschler, Timo, Duda, Daniel, Düren, Michael, Dzhygadlo, Roman, Efremov, Alexander, Eick, Hanna, Er, Nuray, Erlen, Thorsten, Erokhin, Alexandr, Esmail, Waleed, Eugenio, Paul, Eyrich, Wolfgang, Falk, Aniko, Fedorets, Pavel, Fedotov, Gleb, Feldbauer, Florian, Ferapontov, Valeri, Filippi, Alessandra, Filo, Grzegorz, Finger Jr, Michael, Finger, Miroslav, Fink, Mario, Firlej, Miroslaw, Fiutowski, Tomasz, Flemming, Holger, Frech, Jens, Frenkel, Celina Marie, Fritsch, Miriam, Galoyan, Aida, Gandhi, Keval, Gerasimov, Alexander, Gerhardt, Andreas, Giebenhain, Kim Tabea, Glaab, Daniel, Glazier, Derek, Glennemeier-Marke, Simon, Goldenbaum, Frank, Golovanov, Georgy, Golubev, Alexander, Goncharenko, Yury, Götzen, Klaus, Gou, Boxing, Gumbert, Katja, Hagdorn, Rene, Hahn, Christopher, Hammann, Christian, Hartmann, Jan, Heine, Greta, Heinsius, Fritz-Herbert, Heinz, Andreas, Held, Thomas, Herold, Christoph, Hetz, Benjamin, Himmelreich, Mathilde, Hoek, Matthias, Hofmann, Jan, Holtmann, Tobias, Hölzken, Fabian, Huang, Guang Shun, Idzik, Marek, Ireland, David, Jary, Vladimir, Jiang, Peiyong, Jiang, Zhu, Johansson, Tord, Kalita, Kushal, Kalugin, Nikita, Kannika, Jakapat, Kantsyrev, Alexey, Karabowicz, Radoslaw, Käser, Alexander, Kazlou, Dzmitry, Kegel, Sophie, Keshk, Iman, Kesik, Grazina, Keskin, Umut, Ketzer, Bernhard, Khalid, Faiza, Khoukaz, Alfons, Klasen, Roman, Kliemt, Ralf, Kobdaj, Chinorat, Koch, Helmut, Koch, Stefan, Kohlen, Jonas, Kononov, Sergey, Kopf, Bertram, Kopmann, Andreas, Korchak, Oleksandr, Korcyl, Grzegorz, Korcyl, Krzysztof, Korzhik, Mikhail, Kosinski, Tymoteusz, Kozak, Natalia, Krauss, Steffen, Kravchenko, Evgeniy A., Kripko, Aron, Kristi, Nikolai, Kunze, Marcel, Kupsc, Andrzej, Kurilla, Udo, Küßner, Meike, Kutuzov, Sergey, Kuyanov, Ivan A., Kveton, Antonin, Ladygina, Elena, Lalik, Rafal, Lancioni, Giovanni, Lattery, Mark, Lauth, Werner, Lebiedowicz, Piotr, Lehmann, Albert, Lehmann, Dorothee, Lehmann, Inti, Leithoff, Hans Heinrich, Levin, Andrei, Li, Jinxin, Liang, Yutie, Limphirat, Ayut, Linzen, Lukas, Lisowski, Edward, Liu, Beijiang, Liu, Chunxiu, Liu, Dong, Liu, Zhenan, Loehner, Herbert, Lucherini, Vincenzo, Lühning, Jost, Luschevskaya, Elena, Lynen, Uli, Maas, Frank, Maldaner, Stephan, Malige, Akshay, Malyshev, Oleg, Manaenkov, Sergey, Manasatitpong, Keerati, Mannweiler, Christian, Marciniewski, Pawel, Marcisovsky, Michal, Marton, Johann, Maslova, Eseniya, Matusiak, Michal, Matveev, Vladimir A., Mazza, Giovanni, Melnychuk, Dmytro, Mengucci, Paolo, Merkel, Harald, Messchendorp, Johan, Micha lek, Mateusz, Miehling, Daniel, Miklukho, Oleg, Minaev, Nikolay, Missevitch, Oleg, Mochalov, Vasiliy V., Moiseev, Vyacheslav, Molenda, Aleksandra, Montalto, Luigi, Moron, Jakub, Morozov, Dmitry, Motzko, Christof, Müller, Ulrich, Müllers, Johannes, Nasawad, Thanachot, Natali, Pier Paolo, Nerling, Frank, Nogach, Larisa, Noll, Oliver, Novikov, Konstantin, Novy, Josef, Nowakowski, Krzysztof, Olgun, Asiye Tugba, Orfanitski, Sergey, Orsich, Pavel, Orth, Herbert, Panjushkin, Vsevolod, Pankonin, Sven, Panyuschkina, Alena, Paone, Nicola, Papenbrock, Michael, Pelizäus, Marc, Peng, Hai Ping, Perez-Andrade, Gabriela, Peter, Marvin, Peters, Klaus, Petersen, Jannik, Piskun, Alexey A., Pivovarov, Sergey, Pochodzalla, Josef, Pongampai, Surachai, Poznanski, Piotr, Prasuhn, Dieter, Prochazka, Ivan, Przygoda, Witold, Pyata, Evgeniy, Pysz, Krzysztof, lazek, Joanna P., Qi, Hang, Quin, Jiajia, Rai, Ajay Kumar, Rathod, Narendra, Reeh, Andreas, Regina, Jenny, Reher, Jan, Reicherz, Gerhard, Rieger, Jana, Rigato, Valentino, Rinaldi, Daniele, Ritman, James, Rocco, Elena, Piñeiro, David Rodríguez, Rosner, Christoph, Ryazantsev, Andrey, Ryzhikov, Sergey, Sachs, Matthias, Salisbury, Ben, Samartsev, Alexander, Scalise, Lorenzo, Schadmand, Susan, Schäfer, Wolfgang, Schepers, Georg, Schlimme, Soeren, Schmidt, Christian Joachim, Schmidt, Christoph, Schmidt, Mustafa, Schmitt, Lars, Schnier, Claudius, Schönning, Karin, Schubert, René, Schupp, Falk, Schwarz, Carsten, Schwiening, Joachim, Sefzick, Thomas, Seifen, Tobias, Seitz, Bjoern, Semenov, Pavel A., Seth, Kam, Sfienti, Concettina, Shein, Igor, Shen, Xiaoyan, Shimanski, Stepan, Simantathammakul, Tawanchat, Skachkova, Anna N., Slunecka, Miloslav, Smyrski, Jerzy, Snoeyink, Mark, Sobol, Bartosz, Spataro, Stefano, Stavinskiy, Alexey Valentinovich, Steinacher, Michael, Steinen, Marcell, Stepanov, Vladimir, Stockmanns, Tobias, Straube, Marcel, Strickert, Marc, Strokovsky, Evgeny A., Sun, Shengsen, Sun, Yan Kun, Suzuki, Ken, Swientek, Krzysztof, Szczurek, Antoni, Takatsch, Chris N., Tarasiuk, Jerzy, Täschner, Alexander, Tavukoglu, Zeynep, Tegner, Per-Erik, Terlecki, Przemyslaw, Thoma, Ulrike, Tikhonov, Yury, Tokmenin, Valery, Tomasek, Lukas, Tomasi-Gustafsson, Egle, Traxler, Michael, Triffterer, Tobias, Tröll, Nils, Uzhinsky, Vladimir, Varentsov, Victor, Vasiliev, Alexander N., Veretennikov, Denis, Verkheev, Alexander, Vestrick, Sophia, Virius, Miroslav, Vishnevsky, Evgeny, Vodopianov, Alexander, Volf, Michal, Voss, Bernd, Wang, Fei, Wasem, Thomas, Watts, Daniel, Weidner, Frederik, Welde, Leonard, Wendlandt, Katharina, Wenzel, Christopher, Wettig, Vincent, Wieczorek, Peter, Wiedner, Ulrich, Wintz, Peter, Wolf, Yannic, Wolff, Sahra, Wolke, Magnus, Wongprachanukul, Narupon, Wronka, Slawomir, Xiao, Ting, Xu, Huagen, Yakutin, Alexander, Yerlikaya, Seda, Yilmaz, Ali, Yu, Chunxu, Zakrzewski, Tomasz, Zaunick, Hans-Georg, Zhang, Xiao, Zhao, Guang, Zhao, Jingzhou, Zhdanov, Andrey, Zheng, Bo, Zhou, Xiao Rong, Zhu, Wenjing, Zhuravlev, Nikolai I., Zimmermann, Iris, Ziyu, Zhang, and Zwieglinski, Boguslaw

Subjects
High Energy Physics - Experiment (hep-ex), hep-ex, FOS: Physical sciences, Nuclear Physics - Experiment, Nuclear Experiment (nucl-ex), nucl-ex, Nuclear Experiment, Particle Physics - Experiment, High Energy Physics - Experiment
Abstract

We present a detailed simulation study of the signatures from the sequential decays of the triple-strange pbar p -> {\Omega}+{\Omega}- -> K+{\Lambda}barK- {\Lambda} -> K+pbar{\pi}+K-p{\pi}- process in the PANDA central tracking system with focus on hit patterns and precise time measurement. We present a systematic approach for studying physics channels at the detector level and develop input criteria for tracking algorithms and trigger lines. Finally, we study the beam momentum dependence on the reconstruction efficiency for the PANDA detector.

Published
2023
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194. A Constrained Probabilistic Matrix Decomposition Method for Predicting miRNA-disease Associations

Author

Ding Li, Wang Xinyu, Gao Yan, LU Xin-Guo, Liu Fang, Li Jinxin, and Zhu Zhenghao

Subjects
Computational Mathematics, Computer science, microRNA, Genetics, Probabilistic logic, Computational biology, Disease, Molecular Biology, Biochemistry, Matrix decomposition
Abstract

Background: MicroRNA is a type of non-coding RNA molecule whose length is about 22 nucleotides. The growing evidence shows that microRNA makes critical regulations in the development of complex diseases, such as cancers, and cardiovascular diseases. Predicting potential microRNA-disease associations can provide a new perspective to achieve a better scheme of disease diagnosis and prognosis. However, there is a challenge to predict some potential essential microRNAs only with few known associations. Objective: In this paper, we propose a novel method, named as a constrained strategy for predicting microRNA-disease associations called CPMDA, which can predict some potential essential microRNAs only with few known associations. Methods: We firstly construct a disease similarity network and microRNA similarity network to preprocess the microRNAs with none available associations. Then, we apply probabilistic factorization to obtain two feature matrices of microRNA and disease. Meanwhile, we formulate a similarity feature matrix as constraints in the factorization process. Finally, we utilize obtained feature matrixes to identify potential associations for all diseases. Result and Conclusion: The results indicate that CPMDA is superior over other methods in predicting potential microRNA-disease associations. Moreover, the evaluation shows that CPMDA has a strong effect on microRNAs with few known associations. In case studies, CPMDA also demonstrated the effectiveness to infer unknown microRNA-disease associations for those novel diseases and microRNAs.

Published
2021

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