The ALA, public libraries and the Great Depression by Luyt, Brendan

“…Librarians were encouraged by the ALA to join the fight for ‘constructive economy’ that would reform and strengthen the role of public institutions. …”
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GaAs/AlAs/AlGaAs quantum well infrared photodetector by Fan, Weijun

“…In this project, the n-type QW structures of GaAs/AlGaAs and GaAs/AlAs/AlGaAs with specific parameters are grown by all solid source MBE on the GaAs substrates. …”
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The effects of ALA accreditation standards on library education programs accredited by the American Library Association by Mounce, Michael E.

“…This article presents the results of a survey that focused on the perceived effects of the six American Library Association (ALA) accreditation standards on ALA accredited library education programs in the United States. …”
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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

“…Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). …”
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Improved steganalysis technique based on least significant bit using artificial neural network for MP3 files / by Ala Abdulsalam Solyiman Alarood, 1977-, author 607354

Predictability of exchange rates with taylor rule fundamentals : evidence from inflation-targeting emerging countries by Alba, Joseph Dennis, Park, Donghyun, Xie, Taojun

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Optimising cloud computing performance with an enhanced dynamic load balancing algorithm for superior task allocation by Zhanuzak, Raiymbek, Ala'anzy, Mohammed Alaa, Othman, Mohamed, Algarni, Abdulmohsen

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Does wage-inflation targeting complement foreign exchange intervention? An evaluation of a multi-target, two-instrument monetary policy framework by Xie, Taojun, Liu, Jingting, Chia, Wai-Mun, Alba, Joseph Dennis

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High-Throughput Extraction of Phase–Property Relationships from Literature Using Natural Language Processing and Large Language Models by Montanelli, Luca, Venugopal, Vineeth, Olivetti, Elsa A., Latypov, Marat I.

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Transmittance measurement using scanning LED by Rosmin Elsa Mohan, Lau, Gih-Keong, Asundi, Anand Krishna, Ping, Yao

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Empirical estimation of metal powder bed fusion technological improvement rate by Alves de Campos, António, Torres Ferreira, Bruna, Gonçalves, Afonso, Leite, Marco, Ribeiro, Inês, L. Magee, Christopher, Henriques, Elsa

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Improved steganalysis technique based on least significant bit using artificial neural network for MP3 files / by Ala Abdulsalam Solyiman Alarood, 1977-, author 607354, Mohammed Jaffer Alhaddad, supervisor 607355, Azizah Abdul Manaf, supervisor 261203, Fakulti Kejuruteraan. Sekolah Komputeran 619086

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Waste palm leaves-based hydrochar support catalytic esterification of palm fatty acid distillate by Aliyu, Muhammad, Rashid, Umer, Wan Ab Karim Ghani, Wan Azlina, Mohd Salleh, Mohamad Amran, Hazmi, Balkis, Alharthi, Fahad A., Antunes, Elsa, Yu, Jianglong

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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PlomBOX: a low cost bioassay for the sensitive detection of lead in drinking water by Dias, A, Alvarez, M, Gándola, Y, Deisting, A, Alba Posse, E, Arnaldi, H, Asorey, H, Bertou, X, Colque, A, Favela-Pérez, F, Gasulla, J, Gómez Berisso, M, Guerra-Pulido, JO, Lipovetzky, J, Lobera, J, Lovino, MB, Marpegan, L, Martín, D, Mejía Muñoz, S, Monroe, J, Nadra, AD, Pregliasco, R, Rumi, G, Rossen, A

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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UVSQ-SAT, a pathfinder cubesat mission for observing essential climate variables by Meftah, Mustapha, Damé, Luc, Keckhut, Philippe, Bekki, Slimane, Sarkissian, Alain, Hauchecorne, Alain, Bertran, Emmanuel, Carta, Jean-Paul, Rogers, David, Abbaki, Sadok, Dufour, Christophe, Gilbert, Pierre, Lapauw, Laurent, Vieau, André-Jean, Arrateig, Xavier, Muscat, Nicolas, Bove, Philippe, Sandana, Éric, Teherani, Ferechteh, Li, Tong, Pradel, Gilbert, Mahé, Michel, Mercier, Christophe, Paskeviciute, Agne, Segura, Kevin, Alba, Alicia Berciano, Aboulila, Ahmed, Chang, Loren, Chandran, Amal, Dahoo, Pierre-Richard, Bui, Alain

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QCD challenges from pp to AA collisions: 4th edition by Altmann, Javira, Andres, Carlota, Andronic, Anton, Antinori, Federico, Antonioli, Pietro, Beraudo, Andrea, Berti, Eugenio, Bianchi, Livio, Boettcher, Thomas, Capriotti, Lorenzo, Christiansen, Peter, Contreras Nuño, Jesus Guillermo, Cunqueiro Mendez, Leticia, da Silva, Cesar, Dainese, Andrea, Dembinski, Hans Peter, Dobrigkeit Chinellato, David, Dubla, Andrea, Faggin, Mattia, Flett, Chris, Greco, Vincenzo, Grishmanovskii, Ilia, Holguin, Jack, Kanakubo, Yuuka, Kim, Dong Jo, Lea, Ramona, Lee, Su Houng, Mariani, Saverio, Matyja, Adam, Mazeliauskas, Aleksas, Minissale, Vincenzo, Morsch, Andreas, Oliva, Lucia, Orusa, Luca, Paakkinen, Petja, Pablos, Daniel, Paić, Guy, Pierog, Tanguy, Plumari, Salvatore, Prino, Francesco, Rossi, Andrea, Sestini, Lorenzo, Skands, Peter, Soloveva, Olga, Soramel, Francesca, Soto Ontoso, Alba, Spousta, Martin, Stahl Leiton, Andre Govinda, Sun, Jiayin, Takacs, Adam, Trogolo, Stefano, Turrisi, Rosario, Verweij, Marta, Vislavicius, Vytautas, Wang, Jing, Werner, Klaus, Zaccolo, Valentina, Zhang, Mingyu, Zhu, Jianhui, Zuliani, Davide

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AI is a viable alternative to high throughput screening: a 318-target study by Wallach, Izhar, Bernard, Denzil, Nguyen, Kong, Ho, Gregory, Morrison, Adrian, Stecula, Adrian, Rosnik, Andreana, O’Sullivan, Ann Marie, Davtyan, Aram, Samudio, Ben, Thomas, Bill, Worley, Brad, Butler, Brittany, Laggner, Christian, Thayer, Desiree, Moharreri, Ehsan, Friedland, Greg, Truong, Ha, van den Bedem, Henry, Ng, Ho Leung, Stafford, Kate, Sarangapani, Krishna, Giesler, Kyle, Ngo, Lien, Mysinger, Michael, Ahmed, Mostafa, Anthis, Nicholas J., Henriksen, Niel, Gniewek, Pawel, Eckert, Sam, de Oliveira, Saulo, Suterwala, Shabbir, PrasadPrasad, Srimukh Veccham Krishna, Shek, Stefani, Contreras, Stephanie, Hare, Stephanie, Palazzo, Teresa, O’Brien, Terrence E., Van Grack, Tessa, Williams, Tiffany, Chern, Ting-Rong, Kenyon, Victor, Lee, Andreia H., Cann, Andrew B., Bergman, Bastiaan, Anderson, Brandon M., Cox, Bryan D., Warrington, Jeffrey M., Sorenson, Jon M., Goldenberg, Joshua M., Young, Matthew A., DeHaan, Nicholas, Pemberton, Ryan P., Schroedl, Stefan, Abramyan, Tigran M., Gupta, Tushita, Mysore, Venkatesh, Presser, Adam G., Ferrando, Adolfo A., Andricopulo, Adriano D., Ghosh, Agnidipta, Ayachi, Aicha Gharbi, Mushtaq, Aisha, Shaqra, Ala M., Toh, Alan Kie Leong, Smrcka, Alan V., Ciccia, Alberto, de Oliveira, Aldo Sena, Sverzhinsky, Aleksandr, de Sousa, Alessandra Mara, Agoulnik, Alexander I., Kushnir, Alexander, Freiberg, Alexander N., Statsyuk, Alexander V., Gingras, Alexandre R., Degterev, Alexei, Tomilov, Alexey, Vrielink, Alice, Garaeva, Alisa A., Bryant-Friedrich, Amanda, Caflisch, Amedeo, Patel, Amit K., Rangarajan, Amith Vikram, Matheeussen, An, Battistoni, Andrea, Caporali, Andrea, Chini, Andrea, Ilari, Andrea, Mattevi, Andrea, Foote, Andrea Talbot, Trabocchi, Andrea, Stahl, Andreas, Herr, Andrew B., Berti, Andrew, Freywald, Andrew, Reidenbach, Andrew G., Lam, Andrew, Cuddihy, Andrew R., White, Andrew, Taglialatela, Angelo

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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. …”