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162
Adopt Five-Part Framework To Tackle Rising Cost Of Living by Zainal Abidin, Irwan Shah
Published 2024
Newspaper -
163
Higher-order moments of the elliptic flow distribution in PbPb collisions at $$ \sqrt{s_{\textrm{NN}}} $$ = 5.02 TeV by Tumasyan, A., Adam, W., Andrejkovic, J. W., Bergauer, T., Chatterjee, S., Damanakis, K., Dragicevic, M., Escalante Del Valle, A., Hussain, P. S., Jeitler, M., Krammer, N., Lechner, L., Liko, D., Mikulec, I., Paulitsch, P., Pitters, F. M., Schieck, J., Schöfbeck, R., Schwarz, D., Sonawane, M., Templ, S., Waltenberger, W., Wulz, C.-E., Darwish, M. R., Janssen, T., Kello, T., Rejeb Sfar, H., Van Mechelen, P., Bols, E. S., D’Hondt, J., De Moor, A., Delcourt, M., El Faham, H., Lowette, S., Moortgat, S., Morton, A., Müller, D., Sahasransu, A. R., Tavernier, S., Van Doninck, W., Vannerom, D., Clerbaux, B., De Lentdecker, G., Favart, L., Hohov, D., Jaramillo, J., Lee, K., Mahdavikhorrami, M., Makarenko, I., Malara, A., Paredes, S., Pétré, L., Postiau, N., Thomas, L., Vanden Bemden, M., Vander Velde, C., Vanlaer, P., Dobur, D., Knolle, J., Lambrecht, L., Mestdach, G., Rendón, C., Samalan, A., Skovpen, K., Tytgat, M., Van Den Bossche, N., Vermassen, B., Wezenbeek, L., Benecke, A., Bruno, G., Bury, F., Caputo, C., David, P., Delaere, C., Donertas, I. S., Giammanco, A., Jaffel, K., Jain, Sa., Lemaitre, V., Mondal, K., Taliercio, A., Tran, T. T., Vischia, P., Wertz, S., Alves, G. A., Coelho, E., Hensel, C., Moraes, A., Rebello Teles, P., Aldá Júnior, W. L., Alves Gallo Pereira, M., Barroso Ferreira Filho, M., Brandao Malbouisson, H., Carvalho, W., Chinellato, J., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., Dos Santos Sousa, V., Fonseca De Souza, S., Martins, J., Mora Herrera, C., Mota Amarilo, K., Mundim, L., Nogima, H., Santoro, A., Silva Do Amaral, S. M., Sznajder, A., Thiel, M., Vilela Pereira, A., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, Sandra S., Aleksandrov, A., Antchev, G., Hadjiiska, R., Iaydjiev, P., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Ivanov, T., Litov, L., Pavlov, B., Petkov, P., Petrov, A., Shumka, E., Thakur, S., Cheng, T., Javaid, T., Mittal, M., Yuan, L., Ahmad, M., Bauer, G., Hu, Z., Lezki, S., Yi, K., Chen, G. M., Chen, H. S., Chen, M., Iemmi, F., Jiang, C. H., Kapoor, A., Liao, H., Liu, Z.-A., Milosevic, V., Monti, F., Sharma, R., Tao, J., Thomas-Wilsker, J., Wang, J., Zhang, H., Zhao, J., Agapitos, A., An, Y., Ban, Y., Levin, A., Li, C., Li, Q., Lyu, X., Mao, Y., Qian, S. J., Sun, X., Wang, D., Xiao, J., Yang, H., Lu, M., You, Z., Lu, N., Gao, X., Leggat, D., Okawa, H., Zhang, Y., Lin, Z., Lu, C., Xiao, M., Avila, C., Barbosa Trujillo, D. A., Cabrera, A., Florez, C., Fraga, J., Mejia Guisao, J., Ramirez, F., Rodriguez, M., Ruiz Alvarez, J. D., Giljanovic, D., Godinovic, N., Lelas, D., Puljak, I., Antunovic, Z., Kovac, M., Sculac, T., Brigljevic, V., Chitroda, B. K., Ferencek, D., Mishra, S., Roguljic, M., Starodumov, A., Susa, T., Attikis, A., Christoforou, K., Kolosova, M., Konstantinou, S., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Saka, H., Stepennov, A., Finger, M., Finger, M., Kveton, A., Ayala, E., Carrera Jarrin, E., Elgammal, S., Ellithi Kamel, A., Mahmoud, M. A., Mohammed, Y., Bhowmik, S., Dewanjee, R. K., Ehataht, K., Kadastik, M., Lange, T., Nandan, S., Nielsen, C., Pata, J., Raidal, M., Tani, L., Veelken, C., Eerola, P., Kirschenmann, H., Osterberg, K., Voutilainen, M., Bharthuar, S., Brücken, E., Garcia, F., Havukainen, J., Kim, M. S., Kinnunen, R., Lampén, T., Lassila-Perini, K., Lehti, S., Lindén, T., Lotti, M., Martikainen, L., Myllymäki, M., Ott, J., Rantanen, M. m., Siikonen, H., Tuominen, E., Tuominiemi, J., Luukka, P., Petrow, H., Tuuva, T., Amendola, C., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Gras, P., Hamel de Monchenault, G., Lohezic, V., Malcles, J., Rander, J., Rosowsky, A., Sahin, M. Ö., Savoy-Navarro, A., Simkina, P., Titov, M., Baldenegro Barrera, C., Beaudette, F., Buchot Perraguin, A., Busson, P., Cappati, A., Charlot, C., Damas, F., Davignon, O., Diab, B., Falmagne, G., Fontana Santos Alves, B. A., Ghosh, S., Granier de Cassagnac, R., Hakimi, A., Harikrishnan, B., Liu, G., Motta, J., Nguyen, M., Ochando, C., Portales, L., Salerno, R., Sarkar, U., Sauvan, J. B., Sirois, Y., Tarabini, A., Vernazza, E., Zabi, A., Zghiche, A., Agram, J.-L., Andrea, J., Apparu, D., Bloch, D., Bourgatte, G., Brom, J.-M., Chabert, E. C., Collard, C., Darej, D., Goerlach, U., Grimault, C., Le Bihan, A.-C., Van Hove, P., Beauceron, S., Blancon, B., Boudoul, G., Carle, A., Chanon, N., Choi, J., Contardo, D., Depasse, P., Dozen, C., El Mamouni, H., Fay, J., Gascon, S., Gouzevitch, M., Grenier, G., Ille, B., Laktineh, I. 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A., Blekman, F., Borras, K., Brunner, D., Campbell, A., Cardini, A., Cheng, C., Colombina, F., Consuegra Rodríguez, S., Correia Silva, G., De Silva, M., Didukh, L., Eckerlin, G., Eckstein, D., Estevez Banos, L. I., Filatov, O., Gallo, E., Geiser, A., Giraldi, A., Greau, G., Grohsjean, A., Guglielmi, V., Guthoff, M., Jafari, A., Jomhari, N. Z., Kaech, B., Kasemann, M., Kaveh, H., Kleinwort, C., Kogler, R., Komm, M., Krücker, D., Lange, W., Leyva Pernia, D., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I.-A., Mendizabal Morentin, M., Metwally, J., Meyer, A. B., Milella, G., Mormile, M., Mussgiller, A., Nürnberg, A., Otarid, Y., Pérez Adán, D., Raspereza, A., Ribeiro Lopes, B., Rübenach, J., Saggio, A., Saibel, A., Savitskyi, M., Scham, M., Scheurer, V., Schnake, S., Schütze, P., Schwanenberger, C., Shchedrolosiev, M., Sosa Ricardo, R. E., Stafford, D., Tonon, N., Van De Klundert, M., Vazzoler, F., Ventura Barroso, A., Walsh, R., Walter, D., Wang, Q., Wen, Y., Wichmann, K., Wiens, L., Wissing, C., Wuchterl, S., Yang, Y., Zimermmane Castro Santos, A., Albrecht, A., Albrecht, S., Antonello, M., Bein, S., Benato, L., Bonanomi, M., Connor, P., De Leo, K., Eich, M., El Morabit, K., Feindt, F., Fröhlich, A., Garbers, C., Garutti, E., Hajheidari, M., Haller, J., Hinzmann, A., Jabusch, H. R., Kasieczka, G., Keicher, P., Klanner, R., Korcari, W., Kramer, T., Kutzner, V., Labe, F., Lange, J., Lobanov, A., Matthies, C., Mehta, A., Moureaux, L., Mrowietz, M., Nigamova, A., Nissan, Y., Paasch, A., Pena Rodriguez, K. J., Quadfasel, T., Rieger, M., Rieger, O., Savoiu, D., Schindler, J., Schleper, P., Schröder, M., Schwandt, J., Sommerhalder, M., Stadie, H., Steinbrück, G., Tews, A., Wolf, M., Brommer, S., Burkart, M., Butz, E., Caspart, R., Chwalek, T., Dierlamm, A., Droll, A., Faltermann, N., Giffels, M., Gosewisch, J. 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R., Kumar, D., Muhammad, A., Panwar, L., Pradhan, R., Pujahari, P. R., Saha, N. R., Sharma, A., Sikdar, A. K., Verma, S., Naskar, K., Aziz, T., Das, I., Dugad, S., Kumar, M., Mohanty, G. B., Suryadevara, P., Banerjee, S., Chudasama, R., Guchait, M., Karmakar, S., Kumar, S., Majumder, G., Mazumdar, K., Mukherjee, S., Thachayath, A., Bahinipati, S., Das, A. K., Kar, C., Mal, P., Mishra, T., Muraleedharan Nair Bindhu, V. K., Nayak, A., Saha, P., Swain, S. K., Vats, D., Alpana, A., Dube, S., Kansal, B., Laha, A., Pandey, S., Rastogi, A., Sharma, S., Bakhshiansohi, H., Khazaie, E., Zeinali, M., Chenarani, S., Etesami, S. 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S., Zarubin, A., Zhizhin, I., Zhokin, A.
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Discrete and fine wavelength tunable thermo-optic WSS for low power consumption C+L band tunability by Prabhathan, Patinharekandy, Murukeshan, Vadakke Matham, Zhang, Huijuan, Chen, Shiyi, Zhang, Jing
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Journal Article -
168
Towards greener concrete: a comprehensive review of waste glass powder as a partial fine aggregate substitute by S.J.S, Hakim, Mhaya, A M, Mokhatar, S N A F, Kamarudin, S. N., Tong, Y G, Chik, T N T
Published 2023“…Overall, preparing a review paper on the performance of waste glass powder as a partial substitution of fine aggregate in concrete consolidates existing knowledge, evaluates performance, identifies benefits, challenges, and guides future research…”
Conference or Workshop Item -
169
Dynamic stabilization of formation fines to enhance oil recovery of a medium permeability sandstone core at reservoir conditions by Agi, Augustine Aja, Radzuan, Junin, Mohd Zaidi, Jaafar, Zulkifli, Abdul Majid, Nor Aishah Saidina, Amin, Akhmal, Sidek, Yakasai, Faruk, Muhammad Abbas Ahmad, Zaini, Azrul Nurfaiz, Mohd Faizal, Gbadamosi, Afeez Olayinka, Sirajo, Lawal, Oseh, Jeffrey Onuoma
Published 2023“…Fines migration has impacted the efficiency of low salinity water flooding at reservoir condition. …”
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Article -
170
Extracting structured data from organic synthesis procedures using a fine-tuned large language model by Ai, Qianxiang, Meng, Fanwang, Shi, Jiale, Pelkie, Brenden, Coley, Connor W
Published 2024“…The fine-tuned model produces syntactically correct ORD records with an average accuracy of 91.25% for ORD “messages” (e.g., full compound, workups, or condition definitions) and 92.25% for individual data fields (e.g., compound identifiers, mass quantities), with the ability to recognize compound-referencing tokens and to infer reaction roles. …”
Article -
171
Fine-scale population structure and widespread conservation of genetic effect sizes between human groups across traits by Hu, S, Ferreira, LAF, Shi, S, Hellenthal, G, Marchini, J, Lawson, DJ, Myers, SR
Published 2025“…We developed a statistical pipeline to infer fine-scale Ancestry Components and applied it to UK Biobank data. …”
Journal article -
172
Team learning : the link between caring working relationships, learning behaviors and knowledge. by Phua, Mary Bee Ling., Wong, Yvonne Wanling., Tan, Jacqueline Si Ying.
Published 2008“…This study explores the link between caring working relationships, learning behaviors and knowledge. …”
Final Year Project (FYP) -
173
Link me baby one more time: social music discovery on Spotify by Babul, SA, Hristova, D, Lima, A, Lambiotte, R, Beguerisse-Díaz, M
Published 2024“…We find that the receiver of a link is more likely to engage with a new artist when (1) they have similar music taste to the sender and the shared track is a good fit for their taste, (2) they have a stronger and more intimate tie with the sender, and (3) the shared artist is popular amongst the receiver’s connections. …”
Conference item -
174
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175
Apolipoprotein CIII links islet insulin resistance to β-cell failure in diabetes by Leibiger, Ingo B., Leibiger, Barbara, Moede, Tilo, Paschen, Meike, Dicker, Andrea, Abdulreda, Midhat H., Åvall, Karin, Ali, Yusuf, Daré, Elisabetta, Köhler, Martin, Ilegems, Erwin, Graham, Mark, Crooke, Rosanne M., Tay, Vanessa Shi Yun, Refai, Essam, Nilsson, Stefan K., Jacob, Stefan, Selander, Lars, Berggren, Per-Olof, Juntti-Berggren, Lisa
Published 2015“…However, the molecular mechanisms linking these two defects remain unknown. Elevated levels of apolipoprotein CIII (apoCIII) are associated not only with insulin resistance but also with cardiovascular disorders and inflammation. …”
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Journal Article -
176
Representation learning using deep random vector functional link networks for clustering by Hu, Minghui, Suganthan, Ponnuthurai Nagaratnam
Published 2022Subjects: “…Random Vector Functional Link…”
Journal Article -
177
Extended features based random vector functional link network for classification problem by Malik, Ashwani Kumar, Ganaie, M. A., Tanveer, M., Suganthan, Ponnuthurai Nagaratnam
Published 2022Subjects: “…Deep Random Vector Functional Link…”
Journal Article -
178
A study of dimensionality reduction as subspace data embedding linked by multidimensional scaling. by Wang, Wanqiu.
Published 2008“…Some conven- tional category one techniques, such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), are developed from variance analysis, but they also can be interpreted as embedding techniques through links to the metric Multidimensional Scaling (MDS).…”
Thesis -
179
Super lubrication bottlebrush polymer particles synthesis using core cross-linking by Garnadi, Jovanca Kartika
Published 2018“…In this project, we synthesized cross-linked particles of bottlebrush polymer via organocatalyzed living radical polymerization (OLRP). …”
Final Year Project (FYP) -
180
Modeling of an intelligent pressure sensor using functional link artificial neural networks by Patra, Jagdish Chandra, Van den Bos, Adriaan
Published 2011“…The proposed functional link ANN (FLANN) is a computationally efficient nonlinear network and is capable of complex nonlinear mapping between its input and output pattern space. …”
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