Measurement of the CKM angle $$\gamma $$ in the $${{{B} ^0} \rightarrow {D} {{K} ^{*0}}}$$ channel using self-conjugate $${D} \rightarrow {{K} ^0_{\textrm{S}}} h^+ h^-$$ decays by Aaij, R., Abdelmotteleb, A. S. W., Beteta, C. Abellan, Abudinén, F., Ackernley, T., Adeva, B., Adinolfi, M., Adlarson, P., Afsharnia, H., Agapopoulou, C., Aidala, C. A., Ajaltouni, Z., Akar, S., Akiba, K., Albicocco, P., Albrecht, J., Alessio, F., Alexander, M., Albero, A. Alfonso, Aliouche, Z., Cartelle, P. Alvarez, Amalric, R., Amato, S., Amey, J. L., Amhis, Y., An, L., Anderlini, L., Andersson, M., Andreianov, A., Andreola, P. A., Andreotti, M., Andreou, D., Ao, D., Archilli, F., Artamonov, A., Artuso, M., Aslanides, E., Atzeni, M., Audurier, B., Perea, I. B. Bachiller, Bachmann, S., Bachmayer, M., Back, J. J., Bailly-reyre, A., Rodriguez, P. Baladron, Balagura, V., Baldini, W., de Souza Leite, J. Baptista, Barbetti, M., Barbosa, I. R., Barlow, R. J., Barsuk, S., Barter, W., Bartolini, M., Baryshnikov, F., Basels, J. M., Bassi, G., Batsukh, B., Battig, A., Bay, A., Beck, A., Becker, M., Bedeschi, F., Bediaga, I. B., Beiter, A., Belin, S., Bellee, V., Belous, K., Belov, I., Belyaev, I., Benane, G., Bencivenni, G., Ben-Haim, E., Berezhnoy, A., Bernet, R., Andres, S. Bernet, Berninghoff, D., Bernstein, H. C., Bertella, C., Bertolin, A., Betancourt, C., Betti, F., Bezshyiko, Ia., Bhom, J., Bian, L., Bieker, M. S., Biesuz, N. V., Billoir, P., Biolchini, A., Birch, M., Bishop, F. C. R., Bitadze, A., Bizzeti, A., Blago, M. P., Blake, T., Blanc, F., Blank, J. E., Blusk, S., Bobulska, D., Bocharnikov, V. B., Boelhauve, J. A., Garcia, O. Boente, Boettcher, T., Bohare, A., Boldyrev, A., Bolognani, C. S., Bolzonella, R., Bondar, N., Borgato, F., Borghi, S., Borsato, M., Borsuk, J. T., Bouchiba, S. A., Bowcock, T. J. V., Boyer, A., Bozzi, C., Bradley, M. J., Braun, S., Rodriguez, A. Brea, Breer, N., Brodzicka, J., Gonzalo, A. Brossa, Brown, J., Brundu, D., Buonaura, A., Buonincontri, L., Burke, A. T., Burr, C., Bursche, A., Butkevich, A., Butter, J. S., Buytaert, J., Byczynski, W., Cadeddu, S., Cai, H., Calabrese, R., Calefice, L., Cali, S., Calvi, M., Gomez, M. Calvo, Campana, P., Perez, D. H. Campora, Quezada, A. F. Campoverde, Capelli, S., Capriotti, L., Carbone, A., Cardinale, R., Cardini, A., Carniti, P., Carus, L., Vidal, A. Casais, Caspary, R., Casse, G., Cattaneo, M., Cavallero, G., Cavallini, V., Celani, S., Cerasoli, J., Cervenkov, D., Chadwick, A. J., Chahrour, I. C., Chapman, M. G., Charles, M., Charpentier, Ph., Barajas, C. A. Chavez, Chefdeville, M., Chen, C., Chen, S., Chernov, A., Chernyshenko, S., Chobanova, V., Cholak, S., Chrzaszcz, M., Chubykin, A., Chulikov, V., Ciambrone, P., Cicala, M. F., Vidal, X. Cid, Ciezarek, G., Cifra, P., Ciullo, G., Clarke, P. E. L., Clemencic, M., Cliff, H. V., Closier, J., Cobbledick, J. 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“…The CKM angle <jats:inline-formula><jats:alternatives><jats:tex-math>$$\gamma $$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mi>γ</mml:mi> </mml:math></jats:alternatives></jats:inline-formula> is determined by examining the distributions of signal decays in phase-space bins of the self-conjugate <jats:inline-formula><jats:alternatives><jats:tex-math>$${D} \rightarrow {{K} ^0_{\textrm{S}}} h^+ h^-$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>D</mml:mi> <mml:mo>→</mml:mo> <mml:msubsup> <mml:mrow> <mml:mi>K</mml:mi> </mml:mrow> <mml:mtext>S</mml:mtext> <mml:mn>0</mml:mn> </mml:msubsup> <mml:msup> <mml:mi>h</mml:mi> <mml:mo>+</mml:mo> </mml:msup> <mml:msup> <mml:mi>h</mml:mi> <mml:mo>-</mml:mo> </mml:msup> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula> decays, where <jats:inline-formula><jats:alternatives><jats:tex-math>$$h = \pi , K$$</jats:tex-math><mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>h</mml:mi> <mml:mo>=</mml:mo> <mml:mi>π</mml:mi> <mml:mo>,</mml:mo> <mml:mi>K</mml:mi> </mml:mrow> </mml:math></jats:alternatives></jats:inline-formula>. …”
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Identifying primary care clinicians' preferences for, barriers to, and facilitators of information-seeking in clinical practice in Singapore: a qualitative study by Lee, Mauricette Moling, Tang, Wern Ee, Smith, Helen Elizabeth, Car, Lorainne Tudor

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Digital problem-based learning in health professions : systematic review and meta-analysis by the digital health education collaboration by Car, Lorainne Tudor, Kyaw, Bhone Myint, Dunleavy, Gerard, Smart, Neil A., Semwal, Monika, Rotgans, Jerome Ingmar, Low-Beer, Naomi, Campbell, James

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A study on open set recognition methods by Sun, Xin

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Development of schlieren-image based flow diagnostics and analysis for supersonic jet flows by Lim, Desmond Haoxiang

“…Spectral analyses were performed on the time coefficients of the first POD modes, and the frequencies associated with the peak amplitudes were recorded and organized into a histogram with a bin width of St=0.01. The frequency of occurrence of the statistical mode was proposed as a parameter that can robustly identify the presence and characterize the type of jet screech, with the jet screech frequency revealed by the statistical mode. …”
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Cell-derived nanovesicles from mesenchymal stem cells as extracellular vesicle-mimetics in wound healing by Neupane, Yub Raj, Handral, Harish K., Syed Abdullah Alkaff, Chng, Wei Heng, Venkatesan, Gopalakrishnan, Huang, Chenyuan, Lee, Choon Keong, Wang, Jiong-Wei, Sriram, Gopu, Dienzo, Rhonnie Austria, Lu, Wen Feng, Yusuf Ali, Czarny, Bertrand, Pastorin, Giorgia

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Vision language representation learning by Yang, Xiaofeng

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VO离合词的离析现象 ： 基于普通话与新加坡华语对比研究 = A corpus-based comparative study of VO separable verbs in Mainland Mandarin and Singapore Mandarin Chinese... by 符传婧 Foo, Chuan Jing

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语言接触与新加坡华语被动式的欧化现象 ：基于语料库的考察研究 = Europeanisation of passive constructions in Singapore Mandarin Chinese : a corpus-based study... by 孙梦漪 Sun, Mengyi

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Machine Learning Approaches for the Prediction of Postoperative Major Complications in Patients Undergoing Surgery for Bowel Obstruction by Mazzotta, Alessandro D., Burti, Elisa, Causio, Francesco Andrea, Orlandi, Alex, Martinelli, Silvia, Longaroni, Mattia, Pinciroli, Tiziana, Debs, Tarek, Costa, Gianluca, Miccini, Michelangelo, Aurello, Paolo, Petrucciani, Niccolò

“…Andrea Hospital, Sapienza University of Rome, 00185 Roma, Italy 4 Section of Hygiene, Department of Life Sciences and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy 5 EIT Digital Master School, Polytech Nice Sophia, 06410 Biot, France 6 Department of Surgery, Santa Maria della Misericordia Hospital, University of Perugia, 06123 Perugia, Italy 7 MIT Professional Education, Massachusetts Institute of Technology, Cambridge, MA 02139, USA 8 Département de Chirurgie Digestive, Centre Hospitalier Universitaire de Nice, CHU Nice, 06000 Nice, France 9 Department of Life Science, Health, and Health Professions, Link Campus University, 00165 Rome, Italy 10 Department of Surgery, Sapienza University of Rome, 00185 Roma, Italy * Author to whom correspondence should be addressed. …”
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Health professions digital education on antibiotic management : systematic review and meta-analysis by the Digital Health Education Collaboration by Kyaw, Bhone Myint, Tudor Car, Lorainne, van Galen, Louise Sandra, van Agtmael, Michiel A., Costelloe, Céire E., Ajuebor, Onyema, Campbell, James, Car, Josip

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Rule-based meta-analysis reveals the major role of PB2 in influencing influenza A virus virulence in mice by Ivan, Fransiskus Xaverius, Kwoh, Chee Keong

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