Intraperitoneal administration of mRNA encoding interleukin-12 for immunotherapy in peritoneal carcinomatosis by Arrizabalaga, L, Di Trani, CA, Fernández-Sendin, M, Bella, Á, Russo-Cabrera, JS, Gomar, C, Ardaiz, N, Belsue, V, González-Gomariz, J, Zalba, S, Gil-Korilis, A, Garrido, MJ, Melero, I, Aranda, F, Berraondo, P

Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces by Triguero-Mas, Margarita, Anguelovski, Isabelle, Connolly, James J T, Martin, Nick, Matheney, Austin, Cole, Helen V S, Pérez-Del-Pulgar, Carmen, García-Lamarca, Melissa, Shokry, Galia, Argüelles, Lucía, Conesa, David, Gallez, Elsa, Sarzo, Blanca, Beltrán, Miguel Angel, López Máñez, Jesúa, Martínez-Minaya, Joaquín, Oscilowicz, Emilia, Arcaya, Mariana C, Baró, Francesc

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JWST sighting of decameter main-belt asteroids and view on meteorite sources by Burdanov, Artem Y., de Wit, Julien, Broz, Miroslav, Muller, Thomas G., Hoffmann, Tobias, Ferrais, Marin, Micheli, Marco, Jehin, Emmanuel, Parrott, Daniel, Hasler, Samantha N., Binzel, Richard P., Ducrot, Elsa, Kreidberg, Laura, Gillon, Michael, Greene, Thomas P., Grundy, Will M., Kareta, Theodore, Lagage, Pierre-Olivier, Moskovitz, Nicholas, Thirouin, Audrey, Thomas, Cristina A., Zieba, Sebastian

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Food environments and obesity: a geospatial analysis of the South Asia Biobank, income and sex inequalities by Atanasova, Petya, Kusuma, Dian, Pineda, Elisa, Anjana, Ranjit Mohan, De Silva, Laksara, Hanif, Abu A. M., Hasan, Mehedi, Hossain, Md Mokbul, Indrawansa, Susantha, Jayamanne, Deepal, Jha, Sujeet, Kasturiratne, Anuradhani, Katulanda, Prasad, Khawaja, Khadija I., Kumarendran, Balachandran, Mrida, Malay K., Rajakaruna, Vindya, Chambers, John Campbell, Frost, Gary, Sassi, Franco, Miraldo, Marisa

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Arabidopsis RCD1 coordinates chloroplast and mitochondrial functions through interaction with ANAC transcription factors by Shapiguzov, Alexey, Fernie, Alisdair R., Vainonen, Julia P., Hunter, Kerri, Tossavainen, Helena, Tiwari, Arjun, Järvi, Sari, Hellman, Maarit, Aarabi, Fayezeh, Alseekh, Saleh, Wybouw, Brecht, Van Der Kelen, Katrien, Nikkanen, Lauri, Krasensky-Wrzaczek, Julia, Sipari, Nina, Keinänen, Markku, Tyystjärvi, Esa, Rintamäki, Eevi, De Rybel, Bert, Salojärvi, Jarkko, Van Breusegem, Frank, Brosché, Mikael, Permi, Perttu, Aro, Eva-Mari, Wrzaczek, Michael, Kangasjärvi, Jaakko

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Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures by Belov, Vladimir, Erwin-Grabner, Tracy, Aghajani, Moji, Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Bülow, Robin, Ching, Christopher R. K., Connolly, Colm G., Cullen, Kathryn, Davey, Christopher G., Dima, Danai, Dols, Annemiek, Evans, Jennifer W., Fu, Cynthia H. Y., Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke, Hamilton, J. Paul, Harrison, Ben J., Ho, Tiffany C., Mwangi, Benson, Jaworska, Natalia, Jahanshad, Neda, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Melloni, Elisa, Mueller, Bryon A., Ojha, Amar, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Reneman, Liesbeth, Sacchet, Matthew D., Sämann, Philipp G., Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Thomopoulos, Sophia I., Uyar-Demir, Aslihan, van der Wee, Nic J. A., van der Werff, Steven J. A., Völzke, Henry, Whittle, Sarah, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto

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Roadmap on energy harvesting materials by Pecunia, Vincenzo, Silva, S Ravi P, Phillips, Jamie D., Artegiani, Elisa, Romeo, Alessandro, Shim, Hongjae, Park, Jongsung, Kim, Jin Hyeok, Yun, Jae Sung, Welch, Gregory C., Larson, Bryon W., Creran, Myles, Laventure, Audrey, Sasitharan, Kezia, Flores-Diaz, Natalie, Freitag, Marina, Xu, Jie, Brown, Thomas M., Li, Benxuan, Wang, Yiwen, Li, Zhe, Hou, Bo, Hamadani, Behrang H., Defay, Emmanuel, Kovacova, Veronika, Glinsek, Sebastjan, Kar-Narayan, Sohini, Bai, Yang, Kim, Da Bin, Cho, Yong Soo, Žukauskaitė, Agnė, Barth, Stephan, Fan, Feng Ru, Wu, Wenzhuo, Costa, Pedro, del Campo, Javier, Lanceros-Mendez, Senentxu, Khanbareh, Hamideh, Wang, Zhong Lin, Pu, Xiong, Pan, Caofeng, Zhang, Renyun, Xu, Jing, Zhao, Xun, Zhou, Yihao, Chen, Guorui, Tat, Trinny, Ock, Il Woo, Chen, Jun, Graham, Sontyana Adonijah, Yu, Jae Su, Huang, Ling-Zhi, Li, Dan-Dan, Ma, Ming-Guo, Luo, Jikui, Jiang, Feng, Lee, Pooi See, Dudem, Bhaskar, Vivekananthan, Venkateswaran, Kanatzidis, Mercouri G., Xie, Hongyao, Shi, Xiao-Lei, Chen, Zhi-Gang, Riss, Alexander, Parzer, Michael, Garmroudi, Fabian, Bauer, Ernst, Zavanelli, Duncan, Brod, Madison K., Malki, Muath Al, Snyder, G. Jeffrey, Kovnir, Kirill, Kauzlarich, Susan M., Uher, Ctirad, Lan, Jinle, Lin, Yuan-Hua, Fonseca, Luis, Morata, Alex, Martin-Gonzalez, Marisol, Pennelli, Giovanni, Berthebaud, David, Mori, Takao, Quinn, Robert J., Bos, Jan-Willem G., Candolfi, Christophe, Gougeon, Patrick, Gall, Philippe, Lenoir, Bertrand, Venkateshvaran, Deepak, Kaestner, Bernd, Zhao, Yunshan, Zhang, Gang, Nonoguchi, Yoshiyuki, Schroeder, Bob C., Bilotti, Emiliano, Menon, Akanksha K., Urban, Jeffrey J., Fenwick, Oliver, Asker, Ceyla, Talin, A. Alec, Anthopoulos, Thomas D., Losi, Tommaso, Viola, Fabrizio, Caironi, Mario, Georgiadou, Dimitra G., Ding, Li, Peng, Lian-Mao, Wang, Zhenxing, Wei, Muh-Dey, Negra, Renato, Lemme, Max C., Wagih, Mahmoud, Beeby, Steve, Ibn-Mohammed, Taofeeq, Mustapha, K. B., Joshi, A. P.

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Heart failure risk stratification using artificial intelligence applied to electrocardiogram images: a multinational study by Dhingra, LS, Aminorroaya, A, Sangha, V, Pedroso, AF, Asselbergs, FW, Brant, LCC, Barreto, SM, Ribeiro, ALP, Krumholz, HM, Oikonomou, EK, Khera, R

“…Model discrimination was 0.718 in YNHHS, 0.769 in UKB, and 0.810 in ELSA-Brasil. In YNHHS and ELSA-Brasil, incorporating AI-ECG with PCP-HF yielded a significant improvement in discrimination over PCP-HF alone. …”

The journey of ‘unite in laughter’ by Thomas, Nevin Jacob, Lim, Alvin Eu Chian, Tan, Vania Min, Adithi Surya Swaminathan

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In vitro evaluation of oral contraceptives on long-tailed macaque (Macaca fascicularis) primary ovarian cells by Muhammed, Mikail, Tengku Azizan, Tengku Rinalfi Putra, Mohd Noor, Mohd Hezmee, Abu Hassim, Hasliza, Che'Amat, Azlan, Saleh, Annas Bin, Han, Mark Hiew Wen, Ab Latip, Mohd Qayyum

“…Hence, we conclude that human oral contraceptives (Nordette, Noriday, and Ella) are safe and effective in long-tailed macaque ovarian cells as such could be used to develop non-invasive oral contraceptives for controlling the population of long-tailed macaques as an alternative population control method.…”
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Electrochemically driven optical and SERS immunosensor for the detection of a therapeutic cardiac drug by Chaudhry, Madeeha, Lim, Dong-Kwon, Kang, Jeon Woong, Yaqoob, Zahid, So, Peter, Bhopal, Muhammad Fahad, Wang, Minqiang, Qamar, Raheel, Bhatti, Arshad Saleem

“…We demonstrate that QDs-ELISA was relatively easy to fabricate compared to SERS-ELISA. …”
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AWEK CHUCK TAYLOR / by Nami Cob Nobbler, author 627222

“…Disamping cerita Awek Chuck Taylor ini berpusar kepada keluarga Mira - cerita ini juga menceritakan terfaktabnya Hafiz dengan awek yang dia stalk bernama Sheila, awek dia yang cemburu buta bernama Fadilah, awek yang gila kikis duit bernama Bella serta adik angkat yang hidup dalam pasca moden kehidupan Melayu urban influence Nona dan Cerekarama bernama Azrina. …”

Structure of a fully assembled γδ T-cell antigen receptor by Gully, BS, Ferreira Fernandes, J, Gunasinghe, SD, Vuong, MT, Lui, Y, Rice, MT, Rashleigh, L, Lay, C-S, Littler, DR, Sharma, S, Santos, AM, Venugopal, H, Rossjohn, J, Davis, SJ

“…<p>T cells in jawed vertebrates comprise two lineages, &alpha;&beta; T-cells and &gamma;&delta; T-cells, defined by the antigen receptors they express,&nbsp;<em>i.e</em>., &alpha;&beta; and &gamma;&delta; T-cell receptors (TCRs), respectively. …”

Sequence Analysis of Malaysian Infectious Bursal Disease Virus Isolate and the Use of Reverse Transcriptase Nested Polymerase Chain Reaction Enzyme-Linked Immunosorbent Assay for t... by Phong, S. F., Hair-Bejo, M., Omar, A. R., Aini, I.

“…The specificity of this nested PCR ELISA was also high (100%).…”

Electromagnetic (EM) propagation through iron (III) oxide-based building materials embedded with electrically small antennas at microwave frequencies (part 1) by Sheng, Lin

“…Moreover, it was also found that embedding ESA inside concrete will result in the increase of resonant frequency over time as the concrete cures.…”
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Efficient algorithms for subgraph counting and enumeration on large graphs by Wang, Kaixin

“…The state-of-the-arts have a time complexity no better than O(n\delta 3^(\delta/3)), where n is the number of vertices in the graph and \delta is the degeneracy of the graph. …”
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NEGOTIATE your way to RICHES / by Wink, Peter, 1966-, author 655681

“…Peter's techniques can be used to buy cars and homes, from business partnerships, bargain with contractors, or anything else. The sky's the limit! And just as important, it will show you how to go about "convincing others to give you what you want." …”

Deciphering the physical meaning of Gibbs’s maximum work equation by Hanlon, Robert T.

“…Willard Gibbs derived the following equation to quantify the maximum work possible for a chemical reaction $${\text{Maximum work }} = \, - \Delta {\text{G}}_{{{\text{rxn}}}} = \, - \left( {\Delta {\text{H}}_{{{\text{rxn}}}} {-}{\text{ T}}\Delta {\text{S}}_{{{\text{rxn}}}} } \right) {\text{ constant T}},{\text{P}}$$ Maximum work = - Δ G rxn = - Δ H rxn - T Δ S rxn constant T , P ∆Hrxn is the enthalpy change of reaction as measured in a reaction calorimeter and ∆Grxn the change in Gibbs energy as measured, if feasible, in an electrochemical cell by the voltage across the two half-cells. …”
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Investigation of flow over textured surfaces by Koh, Ti Kiat

“…The chemicals used were Hydrochloric Acid (HCL), Sodium Hydroxide (NaOH) and Ethanol with Stearic Acid (ESA). HCL and NaOH were used to alter the surface of AA 6061 while ESA was used to lower the surface energy of the samples. …”
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THE MARRIAGE PLOT / by Eugenides, Jeffrey, author 375385

“…Madeleine Hanna was the dutiful English major who didn't get the memo. While everyone else in the early 1980s was reading Derrida, she was happily absorbed with Jane Austen and George Eliot: purveyors of the marriage plot that lies at the heart of the greatest English novels. …”