17,548 results on '"Hervás, A."'
Search Results
202. Approach to a Lower Body Gait Generation Model Using a Deep Convolutional Generative Adversarial Network
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Carneros-Prado, David, Dobrescu, Cosmin C., Cabañero, Luis, Altamirano-Flores, Yulith V., Lopez-Nava, Irvin Hussein, González, Iván, Fontecha, Jesús, Hervas, Ramon, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor
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- 2023
- Full Text
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203. Design and Evaluation of Proactive Behavior in Conversational Assistants: Approach with the Eva Companion Robot
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Villa, Laura, Hervás, Ramón, Cruz-Sandoval, Dagoberto, Favela, Jesús, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Bravo, José, editor, Ochoa, Sergio, editor, and Favela, Jesús, editor
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- 2023
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204. Predictive Maintenance of ATM Machines by Modelling Remaining Useful Life with Machine Learning Techniques
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Rosati, Riccardo, Romeo, Luca, Vargas, Víctor Manuel, Gutiérrez, Pedro Antonio, Hervás-Martínez, César, Bianchini, Lorenzo, Capriotti, Alessandra, Capparuccia, Rosario, Frontoni, Emanuele, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martinez-de-Pison, Francisco Javier, editor, Villar Flecha, José Ramón, editor, Troncoso Lora, Alicia, editor, de la Cal, Enrique A., editor, Herrero, Álvaro, editor, Martínez Álvarez, Francisco, editor, Psaila, Giuseppe, editor, Quintián, Héctor, editor, and Corchado Rodriguez, Emilio S., editor
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- 2023
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205. Assessing the Efficient Market Hypothesis for Cryptocurrencies with High-Frequency Data Using Time Series Classification
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Ayllón-Gavilán, Rafael, Guijo-Rubio, David, Gutiérrez, Pedro A., Hervás-Martínez, César, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, García Bringas, Pablo, editor, Pérez García, Hilde, editor, Martinez-de-Pison, Francisco Javier, editor, Villar Flecha, José Ramón, editor, Troncoso Lora, Alicia, editor, de la Cal, Enrique A., editor, Herrero, Álvaro, editor, Martínez Álvarez, Francisco, editor, Psaila, Giuseppe, editor, Quintián, Héctor, editor, and Corchado Rodriguez, Emilio S., editor
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- 2023
- Full Text
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206. Respiratory syncytial virus infection in adults: Differences with influenza
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Losa-Martin, Oscar, Frisuelos-Garcia, Alicia, Delgado-Iribarren, Alberto, Martin-deCabo, Maria Rosa, Martin-Segarra, Oriol, Vegas-Serrano, Ana, Hervas-Gomez, Rafael, Moreno-Nuñez, Leonor, Velasco-Arribas, Maria, and Losa-Garcia, Juan E.
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- 2024
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207. Infección por virus respiratorio sincitial en adultos: diferencias con la gripe
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Losa-Martin, Oscar, Frisuelos-Garcia, Alicia, Delgado-Iribarren, Alberto, Martin-deCabo, Maria Rosa, Martin-Segarra, Oriol, Vegas-Serrano, Ana, Hervas-Gomez, Rafael, Moreno-Nuñez, Leonor, Velasco-Arribas, Maria, and Losa-Garcia, Juan E.
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- 2024
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208. Fracture resistance of polyacrylamide-alginate hydrogels
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Reinhards-Hervás, C., Cano, A.J., Rico, A., Salazar, A., and Rodríguez, J.
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- 2024
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209. Factores de riesgo asociados a osteomielitis por Corynebacterium striatum en pacientes con pie diabético
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Bermejo Olano, María del Mar, Campelo Gutierrez, Carolina, Hervas Gómez, Rafael, Alfayate García, Jesús Manuel, Sánchez Ríos, Juan Pedro, and Moreno Núñez, Leonor
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- 2024
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210. Anti-inflammatory effects of TNF-α and ASK1 inhibitory compounds isolated from Schkuhria pinnata used for the treatment of dermatitis
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Apaza Ticona, Luis, Hervás Povo, Belén, Sánchez Sánchez-Corral, Javier, and Rumbero Sánchez, Ángel
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- 2024
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211. Impacto de la descarga del ventrículo izquierdo en el resultado tras el trasplante en pacientes asistidos con ECMO-VA
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Enríquez-Vázquez, Daniel, Barge-Caballero, Eduardo, González-Vílchez, Francisco, Almenar-Bonet, Luis, García-Cosío Carmena, María Dolores, González-Costello, José, Gómez-Bueno, Manuel, Castel-Lavilla, María Ángeles, Díaz-Molina, Beatriz, Martínez-Sellés, Manuel, Mirabet-Pérez, Sonia, de la Fuente-Galán, Luis, Hervás-Sotomayor, Daniela, Rangel-Sousa, Diego, Garrido-Bravo, Iris P., Blasco-Peiró, Teresa, Rábago Juan-Aracil, Gregorio, Muñiz, Javier, and Crespo-Leiro, María G.
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- 2024
- Full Text
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212. ATLAS searches for additional scalars and exotic Higgs boson decays with the LHC Run 2 dataset
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Aad, G., Aakvaag, E., Abbott, B., Abdelhameed, S., Abeling, K., Abicht, N.J., Abidi, S.H., Aboelela, M., Aboulhorma, A., Abramowicz, H., Abreu, H., Abulaiti, Y., Acharya, B.S., Ackermann, A., Adam Bourdarios, C., Adamczyk, L., Addepalli, S.V., Addison, M.J., Adelman, J., Adiguzel, A., Adye, T., Affolder, A.A., Afik, Y., Agaras, M.N., Agarwala, J., Aggarwal, A., Agheorghiesei, C., Ahmad, A., Ahmadov, F., Ahmed, W.S., Ahuja, S., Ai, X., Aielli, G., Aikot, A., Ait Tamlihat, M., Aitbenchikh, B., Akbiyik, M., Åkesson, T.P.A., Akimov, A.V., Akiyama, D., Akolkar, N.N., Aktas, S., Al Khoury, K., Alberghi, G.L., Albert, J., Albicocco, P., Albouy, G.L., Alderweireldt, S., Alegria, Z.L., Aleksa, M., Aleksandrov, I.N., Alexa, C., Alexopoulos, T., Alfonsi, F., Algren, M., Alhroob, M., Ali, B., Ali, H.M.J., Ali, S., Alibocus, S.W., Aliev, M., Alimonti, G., Alkakhi, W., Allaire, C., Allbrooke, B.M.M., Allen, J.F., Allendes Flores, C.A., Allport, P.P., Aloisio, A., Alonso, F., Alpigiani, C., Alsolami, Z.M.K., Alvarez Estevez, M., Alvarez Fernandez, A., Alves Cardoso, M., Alviggi, M.G., Aly, M., Amaral Coutinho, Y., Ambler, A., Amelung, C., Amerl, M., Ames, C.G., Amidei, D., Amirie, K.J., Amor Dos Santos, S.P., Amos, K.R., An, S., Ananiev, V., Anastopoulos, C., Andeen, T., Anders, J.K., Anderson, A.C., Andrean, S.Y., Andreazza, A., Angelidakis, S., Angerami, A., Anisenkov, A.V., Annovi, A., Antel, C., Antipov, E., Antonelli, M., Anulli, F., Aoki, M., Aoki, T., Aparo, M.A., Aperio Bella, L., Appelt, C., Apyan, A., Arbiol Val, S.J., Arcangeletti, C., Arce, A.T.H., Arena, E., Arguin, J-F., Argyropoulos, S., Arling, J.-H., Arnaez, O., Arnold, H., Artoni, G., Asada, H., Asai, K., Asai, S., Asbah, N.A., Ashby Pickering, R.A., Assamagan, K., Astalos, R., Astrand, K.S.V., Atashi, S., Atkin, R.J., Atkinson, M., Atmani, H., Atmasiddha, P.A., Augsten, K., Auricchio, S., Auriol, A.D., Austrup, V.A., Avolio, G., Axiotis, K., Azuelos, G., Babal, D., Bachacou, H., Bachas, K., Bachiu, A., Backman, F., Badea, A., Baer, T.M., Bagnaia, P., Bahmani, M., Bahner, D., Bai, K., Baines, J.T., Baines, L., Baker, O.K., Bakos, E., Bakshi Gupta, D., Balabram Filho, L.E., Balakrishnan, V., Balasubramanian, R., Baldin, E.M., Balek, P., Ballabene, E., Balli, F., Baltes, L.M., Balunas, W.K., Balz, J., Bamwidhi, I., Banas, E., Bandieramonte, M., Bandyopadhyay, A., Bansal, S., Barak, L., Barakat, M., Barberio, E.L., Barberis, D., Barbero, M., Barel, M.Z., Barends, K.N., Barillari, T., Barisits, M-S., Barklow, T., Baron, P., Baron Moreno, D.A., Baroncelli, A., Barone, G., Barr, A.J., Barr, J.D., Barreiro, F., Barreiro Guimarães da Costa, J., Barron, U., Barros Teixeira, M.G., Barsov, S., Bartels, F., Bartoldus, R., Barton, A.E., Bartos, P., Basan, A., Baselga, M., Bassalat, A., Basso, M.J., Bataju, S., Bate, R., Bates, R.L., Batlamous, S., Batool, B., Battaglia, M., Battulga, D., Bauce, M., Bauer, M., Bauer, P., Bazzano Hurrell, L.T., Beacham, J.B., Beau, T., Beaucamp, J.Y., Beauchemin, P.H., Bechtle, P., Beck, H.P., Becker, K., Beddall, A.J., Bednyakov, V.A., Bee, C.P., Beemster, L.J., Beermann, T.A., Begalli, M., Begel, M., Behera, A., Behr, J.K., Beirer, J.F., Beisiegel, F., Belfkir, M., Bella, G., Bellagamba, L., Bellerive, A., Bellos, P., Beloborodov, K., Benchekroun, D., Bendebba, F., Benhammou, Y., Benkendorfer, K.C., Beresford, L., Beretta, M., Bergeaas Kuutmann, E., Berger, N., Bergmann, B., Beringer, J., Bernardi, G., Bernius, C., Bernlochner, F.U., Bernon, F., Berrocal Guardia, A., Berry, T., Berta, P., Berthold, A., Bethke, S., Betti, A., Bevan, A.J., Bhalla, N.K., Bhatta, S., Bhattacharya, D.S., Bhattarai, P., Bhide, K.D., Bhopatkar, V.S., Bianchi, R.M., Bianco, G., Biebel, O., Bielski, R., Biglietti, M., Billingsley, C.S., Bindi, M., Bingul, A., Bini, C., Biondini, A., Bird, G.A., Birman, M., Biros, M., Biryukov, S., Bisanz, T., Bisceglie, E., Biswal, J.P., Biswas, D., Bloch, I., Blue, A., Blumenschein, U., Blumenthal, J., Bobrovnikov, V.S., Boehler, M., Boehm, B., Bogavac, D., Bogdanchikov, A.G., Bohm, C., Boisvert, V., Bokan, P., Bold, T., Bomben, M., Bona, M., Boonekamp, M., Booth, C.D., Borbély, A.G., Bordulev, I.S., Borecka-Bielska, H.M., Borissov, G., Bortoletto, D., Boscherini, D., Bosman, M., Bossio Sola, J.D., Bouaouda, K., Bouchhar, N., Boudet, L., Boudreau, J., Bouhova-Thacker, E.V., Boumediene, D., Bouquet, R., Boveia, A., Boyd, J., Boye, D., Boyko, I.R., Bozianu, L., Bracinik, J., Brahimi, N., Brandt, G., Brandt, O., Braren, F., Brau, B., Brau, J.E., Brener, R., Brenner, L., Brenner, R., Bressler, S., Britton, D., Britzger, D., Brock, I., Brooijmans, G., Brost, E., Brown, L.M., Bruce, L.E., Bruckler, T.L., Bruckman de Renstrom, P.A., Brüers, B., Bruni, A., Bruni, G., Bruschi, M., Bruscino, N., Buanes, T., Buat, Q., Buchin, D., Buckley, A.G., Bulekov, O., Bullard, B.A., Burdin, S., Burgard, C.D., Burger, A.M., Burghgrave, B., Burlayenko, O., Burr, J.T.P., Burzynski, J.C., Busch, E.L., Büscher, V., Bussey, P.J., Butler, J.M., Buttar, C.M., Butterworth, J.M., Buttinger, W., Buxo Vazquez, C.J., Buzykaev, A.R., Cabrera Urbán, S., Cadamuro, L., Caforio, D., Cai, H., Cai, Y., Cairo, V.M.M., Cakir, O., Calace, N., Calafiura, P., Calderini, G., Calfayan, P., Callea, G., Caloba, L.P., Calvet, D., Calvet, S., Calvetti, M., Camacho Toro, R., Camarda, S., Camarero Munoz, D., Camarri, P., Camerlingo, M.T., Cameron, D., Camincher, C., Campanelli, M., Camplani, A., Canale, V., Canbay, A.C., Canonero, E., Cantero, J., Cao, Y., Capocasa, F., Capua, M., Carbone, A., Cardarelli, R., Cardenas, J.C.J., Carducci, G., Carli, T., Carlino, G., Carlotto, J.I., Carlson, B.T., Carlson, E.M., Carmignani, J., Carminati, L., Carnelli, A., Carnesale, M., Caron, S., Carquin, E., Carrá, S., Carratta, G., Carroll, A.M., Carter, T.M., Casado, M.P., Caspar, M., Castillo, F.L., Castillo Garcia, L., Castillo Gimenez, V., Castro, N.F., Catinaccio, A., Catmore, J.R., Cavaliere, T., Cavaliere, V., Cavalli, N., Caviedes Betancourt, L.J., Cekmecelioglu, Y.C., Celebi, E., Cella, S., Celli, F., Centonze, M.S., Cepaitis, V., Cerny, K., Cerqueira, A.S., Cerri, A., Cerrito, L., Cerutti, F., Cervato, B., Cervelli, A., Cesarini, G., Cetin, S.A., Chakraborty, D., Chan, J., Chan, W.Y., Chapman, J.D., Chapon, E., Chargeishvili, B., Charlton, D.G., Chatterjee, M., Chauhan, C., Che, Y., Chekanov, S., Chekulaev, S.V., Chelkov, G.A., Chen, A., Chen, B., Chen, H., Chen, J., Chen, M., Chen, S., Chen, S.J., Chen, X., Chen, Y., Cheng, C.L., Cheng, H.C., Cheong, S., Cheplakov, A., Cheremushkina, E., Cherepanova, E., Cherkaoui El Moursli, R., Cheu, E., Cheung, K., Chevalier, L., Chiarella, V., Chiarelli, G., Chiedde, N., Chiodini, G., Chisholm, A.S., Chitan, A., Chitishvili, M., Chizhov, M.V., Choi, K., Chou, Y., Chow, E.Y.S., Chu, K.L., Chu, M.C., Chu, X., Chubinidze, Z., Chudoba, J., Chwastowski, J.J., Cieri, D., Ciesla, K.M., Cindro, V., Ciocio, A., Cirotto, F., Citron, Z.H., Citterio, M., Ciubotaru, D.A., Clark, A., Clark, P.J., Clarke Hall, N., Clarry, C., Clavijo Columbie, J.M., Clawson, S.E., Clement, C., Clercx, J., Coadou, Y., Cobal, M., Coccaro, A., Coelho Barrue, R.F., Coelho Lopes De Sa, R., Coelli, S., Cole, B., Collot, J., Conde Muiño, P., Connell, M.P., Connell, S.H., Conroy, E.I., Conventi, F., Cooke, H.G., Cooper-Sarkar, A.M., Corchia, F.A., Cordeiro Oudot Choi, A., Corpe, L.D., Corradi, M., Corriveau, F., Cortes-Gonzalez, A., Costa, M.J., Costanza, F., Costanzo, D., Cote, B.M., Couthures, J., Cowan, G., Cranmer, K., Cremonini, D., Crépé-Renaudin, S., Crescioli, F., Cristinziani, M., Cristoforetti, M., Croft, V., Crosby, J.E., Crosetti, G., Cueto, A., Cui, Z., Cunningham, W.R., Curcio, F., Curran, J.R., Czodrowski, P., Czurylo, M.M., Da Cunha Sargedas De Sousa, M.J., Da Fonseca Pinto, J.V., Da Via, C., Dabrowski, W., Dado, T., Dahbi, S., Dai, T., Dal Santo, D., Dallapiccola, C., Dam, M., D’amen, G., D’Amico, V., Damp, J., Dandoy, J.R., Dannheim, D., Danninger, M., Dao, V., Darbo, G., Das, S.J., Dattola, F., D’Auria, S., D’avanzo, A., David, C., Davidek, T., Dawson, I., Day-hall, H.A., De, K., De Asmundis, R., De Biase, N., De Castro, S., De Groot, N., de Jong, P., De la Torre, H., De Maria, A., De Salvo, A., De Sanctis, U., De Santis, F., De Santo, A., De Vivie De Regie, J.B., Dedovich, D.V., Degens, J., Deiana, A.M., Del Corso, F., Del Peso, J., Del Rio, F., Delagrange, L., Deliot, F., Delitzsch, C.M., Della Pietra, M., Della Volpe, D., Dell’Acqua, A., Dell’Asta, L., Delmastro, M., Delsart, P.A., Demers, S., Demichev, M., Denisov, S.P., D’Eramo, L., Derendarz, D., Derue, F., Dervan, P., Desch, K., Deutsch, C., Di Bello, F.A., Di Ciaccio, A., Di Ciaccio, L., Di Domenico, A., Di Donato, C., Di Girolamo, A., Di Gregorio, G., Di Luca, A., Di Micco, B., Di Nardo, R., Di Petrillo, K.F., Diamantopoulou, M., Dias, F.A., Dias Do Vale, T., Diaz, M.A., Diaz Capriles, F.G., Didenko, M., Diehl, E.B., Díez Cornell, S., Diez Pardos, C., Dimitriadi, C., Dimitrievska, A., Dingfelder, J., Dinu, I-M., Dittmeier, S.J., Dittus, F., Divisek, M., Djama, F., Djobava, T., Doglioni, C., Dohnalova, A., Dolejsi, J., Dolezal, Z., Domijan, K., Dona, K.M., Donadelli, M., Dong, B., Donini, J., D’Onofrio, A., D’Onofrio, M., Dopke, J., Doria, A., Dos Santos Fernandes, N., Dougan, P., Dova, M.T., Doyle, A.T., Draguet, M.A., Dreyer, E., Drivas-koulouris, I., Drnevich, M., Drozdova, M., Du, D., du Pree, T.A., Dubinin, F., Dubovsky, M., Duchovni, E., Duckeck, G., Ducu, O.A., Duda, D., Dudarev, A., Duden, E.R., D’uffizi, M., Duflot, L., Dührssen, M., Duminica, I., Dumitriu, A.E., Dunford, M., Dungs, S., Dunne, K., Duperrin, A., Duran Yildiz, H., Düren, M., Durglishvili, A., Dwyer, B.L., Dyckes, G.I., Dyndal, M., Dziedzic, B.S., Earnshaw, Z.O., Eberwein, G.H., Eckerova, B., Eggebrecht, S., Egidio Purcino De Souza, E., Ehrke, L.F., Eigen, G., Einsweiler, K., Ekelof, T., Ekman, P.A., El Farkh, S., El Ghazali, Y., El Jarrari, H., El Moussaouy, A., Ellajosyula, V., Ellert, M., Ellinghaus, F., Ellis, N., Elmsheuser, J., Elsawy, M., Elsing, M., Emeliyanov, D., Enari, Y., Ene, I., Epari, S., Erland, P.A., Ernani Martins Neto, D., Errenst, M., Escalier, M., Escobar, C., Etzion, E., Evans, G., Evans, H., Evans, L.S., Ezhilov, A., Ezzarqtouni, S., Fabbri, F., Fabbri, L., Facini, G., Fadeyev, V., Fakhrutdinov, R.M., Fakoudis, D., Falciano, S., Falda Ulhoa Coelho, L.F., Fallavollita, F., Falsetti, G., Faltova, J., Fan, C., Fan, Y., Fang, Y., Fanti, M., Faraj, M., Farazpay, Z., Farbin, A., Farilla, A., Farooque, T., Farrington, S.M., Fassi, F., Fassouliotis, D., Faucci Giannelli, M., Fawcett, W.J., Fayard, L., Federic, P., Federicova, P., Fedin, O.L., Feickert, M., Feligioni, L., Fellers, D.E., Feng, C., Feng, M., Feng, Z., Fenton, M.J., Ferencz, L., Ferguson, R.A.M., Fernandez Luengo, S.I., Fernandez Martinez, P., Fernoux, M.J.V., Ferrando, J., Ferrari, A., Ferrari, P., Ferrari, R., Ferrere, D., Ferretti, C., Fiacco, D., Fiedler, F., Fiedler, P., Filipčič, A., Filmer, E.K., Filthaut, F., Fiolhais, M.C.N., Fiorini, L., Fisher, W.C., Fitschen, T., Fitzhugh, P.M., Fleck, I., Fleischmann, P., Flick, T., Flores, M., Flores Castillo, L.R., Flores Sanz De Acedo, L., Follega, F.M., Fomin, N., Foo, J.H., Formica, A., Forti, A.C., Fortin, E., Fortman, A.W., Foti, M.G., Fountas, L., Fournier, D., Fox, H., Francavilla, P., Francescato, S., Franchellucci, S., Franchini, M., Franchino, S., Francis, D., Franco, L., Franco Lima, V., Franconi, L., Franklin, M., Frattari, G., Frid, Y.Y., Friend, J., Fritzsche, N., Froch, A., Froidevaux, D., Frost, J.A., Fu, Y., Fuenzalida Garrido, S., Fujimoto, M., Fung, K.Y., Furtado De Simas Filho, E., Furukawa, M., Fuster, J., Gaa, A., Gabrielli, A., Gadow, P., Gagliardi, G., Gagnon, L.G., Gaid, S., Galantzan, S., Gallas, E.J., Gallop, B.J., Gan, K.K., Ganguly, S., Gao, Y., Garay Walls, F.M., Garcia, B., García, C., Garcia Alonso, A., Garcia Caffaro, A.G., García Navarro, J.E., Garcia-Sciveres, M., Gardner, G.L., Gardner, R.W., Garelli, N., Garg, D., Garg, R.B., Gargan, J.M., Garner, C.A., Garvey, C.M., Gassmann, V.K., Gaudio, G., Gautam, V., Gauzzi, P., Gavranovic, J., Gavrilenko, I.L., Gavrilyuk, A., Gay, C., Gaycken, G., Gazis, E.N., Geanta, A.A., Gee, C.M., Gekow, A., Gemme, C., Genest, M.H., Gentry, A.D., George, S., George, W.F., Geralis, T., Gessinger-Befurt, P., Geyik, M.E., Ghani, M., Ghorbanian, K., Ghosal, A., Ghosh, A., Giacobbe, B., Giagu, S., Giani, T., Giannetti, P., Giannini, A., Gibson, S.M., Gignac, M., Gil, D.T., Gilbert, A.K., Gilbert, B.J., Gillberg, D., Gilles, G., Ginabat, L., Gingrich, D.M., Giordani, M.P., Giraud, P.F., Giugliarelli, G., Giugni, D., Giuli, F., Gkialas, I., Gladilin, L.K., Glasman, C., Gledhill, G.R., Glemža, G., Glisic, M., Gnesi, I., Go, Y., Goblirsch-Kolb, M., Gocke, B., Godin, D., Gokturk, B., Goldfarb, S., Golling, T., Gololo, M.G.D., Golubkov, D., Gombas, J.P., Gomes, A., Gomes Da Silva, G., Gomez Delegido, A.J., Gonçalo, R., Gonella, L., Gongadze, A., Gonnella, F., Gonski, J.L., 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R., Yue, L., Zaazoua, M., Zabinski, B., Zaid, E., Zak, Z.K., Zakareishvili, T., Zakharchuk, N., Zambito, S., Zamora Saa, J.A., Zang, J., Zanzi, D., Zaplatilek, O., Zeitnitz, C., Zeng, H., Zeng, J.C., Zenger Jr, D.T., Zenin, O., Ženiš, T., Zenz, S., Zerradi, S., Zerwas, D., Zhai, M., Zhang, D.F., Zhang, J., Zhang, K., Zhang, L., Zhang, P., Zhang, R., Zhang, S., Zhang, T., Zhang, X., Zhang, Y., Zhang, Z., Zhao, H., Zhao, T., Zhao, Y., Zhao, Z., Zhemchugov, A., Zheng, J., Zheng, K., Zheng, X., Zheng, Z., Zhong, D., Zhou, B., Zhou, H., Zhou, N., Zhou, Y., Zhu, C.G., Zhu, J., Zhu, X., Zhu, Y., Zhuang, X., Zhukov, K., Zimine, N.I., Zinsser, J., Ziolkowski, M., Živković, L., Zoccoli, A., Zoch, K., Zorbas, T.G., Zormpa, O., Zou, W., and Zwalinski, L.
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- 2024
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213. Influence of social support and stressful life events on adherence to colorectal cancer screening using faecal occult blood test in Spanish medium risk population
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Menéndez Rodríguez, Martín, García-Morales, Natalia, Seoane Pillado, Teresa, Garau Ramírez, Jorge, Traver Salvador, Alba, Hervás Jiménez, Yésica, Fernández-Domínguez, María José, Menéndez Villalva, Carlos, and Cubiella, Joaquín
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- 2024
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214. Is endoscopic decompression for Morton's neuroma a safe technique?
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López-Capdevila, L., Ballester, M., Lucar, G., Mota-Gomes, T., Fa-Binefa, M., and López-Hervás, S.
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- 2024
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215. Impact of left ventricular unloading on postheart transplantation outcomes in patients bridged with VA-ECMO
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Enríquez-Vázquez, Daniel, Barge-Caballero, Eduardo, González-Vílchez, Francisco, Almenar-Bonet, Luis, García-Cosío Carmena, María Dolores, González-Costello, José, Gómez-Bueno, Manuel, Castel-Lavilla, María Ángeles, Díaz-Molina, Beatriz, Martínez-Sellés, Manuel, Mirabet-Pérez, Sonia, de la Fuente-Galán, Luis, Hervás-Sotomayor, Daniela, Rangel-Sousa, Diego, Garrido-Bravo, Iris P., Blasco-Peiró, Teresa, Rábago Juan-Aracil, Gregorio, Muñiz, Javier, and Crespo-Leiro, María G.
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- 2024
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216. Use of a surgically implanted, nondischargeable, extracorporeal continuous flow circulatory support system as a bridge to heart transplant
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Cabezón-Villalba, Gonzalo, Barge-Caballero, Eduardo, González-Vílchez, Francisco, Castel-Lavilla, María Ángeles, Gómez-Bueno, Manuel, Almenar-Bonet, Luis, González-Costello, José, Lambert-Rodríguez, José Luis, Martínez-Sellés, Manuel, de la Fuente-Galán, Luis, Mirabet-Pérez, Sonia, García-Cosío Carmena, María Dolores, Hervás-Sotomayor, Daniela, Rangel-Sousa, Diego, Blasco-Peiró, Teresa, Garrido-Bravo, Iris P., Rábago Juan-Aracil, Gregorio, Muñiz, Javier, and Crespo-Leiro, María G.
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- 2024
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217. Uso de un sistema extracorpóreo de asistencia circulatoria de flujo continuo, corta duración e inserción quirúrgica como puente a trasplante
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Cabezón-Villalba, Gonzalo, Barge-Caballero, Eduardo, González-Vílchez, Francisco, Castel-Lavilla, María Ángeles, Gómez-Bueno, Manuel, Almenar-Bonet, Luis, González-Costello, José, Lambert-Rodríguez, José Luis, Martínez-Sellés, Manuel, de la Fuente-Galán, Luis, Mirabet-Pérez, Sonia, García-Cosío Carmena, María Dolores, Hervás-Sotomayor, Daniela, Rangel-Sousa, Diego, Blasco-Peiró, Teresa, Garrido-Bravo, Iris P., Rábago Juan-Aracil, Gregorio, Muñiz, Javier, and Crespo-Leiro, María G.
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- 2024
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218. Comparison of GLP-1 receptor agonists and other Glucose-Lowering agents on cardiovascular outcomes in individuals with type 2 diabetes and Obesity: A Spanish Real-World Population-Based study
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Palanca, Ana, Ampudia-Blasco, F. Javier, Calderón, José Miguel, Sauri, Inmaculada, Martinez-Hervás, Sergio, Trillo, José Luis, Redón, Josep, and Real, José T.
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- 2024
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219. Splitting criteria for ordinal decision trees: an experimental study.
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Rafael Ayllón-Gavilán, Francisco José Martínez-Estudillo, David Guijo-Rubio, César Hervás-Martínez, and Pedro Antonio Gutiérrez
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- 2024
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220. Improving the classification of extreme classes by means of loss regularisation and generalised beta distributions.
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Víctor Manuel Vargas, Pedro Antonio Gutiérrez, Javier Barbero-Gómez, and César Hervás-Martínez
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- 2024
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221. dlordinal: a Python package for deep ordinal classification.
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Francisco Bérchez-Moreno, Víctor Manuel Vargas, Rafael Ayllón-Gavilán, David Guijo-Rubio, César Hervás-Martínez, Juan Carlos Fernández 0001, and Pedro Antonio Gutiérrez
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- 2024
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222. A two-stage algorithm in evolutionary product unit neural networks for classification.
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Antonio J. Tallón-Ballesteros and César Hervás-Martínez
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- 2024
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223. Validation of artificial neural networks to model the acoustic behaviour of induction motors.
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F. J. Jimenez-Romero, David Guijo-Rubio, F. R. Lara-Raya, A. Ruiz-Gonzalez, and César Hervás-Martínez
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- 2024
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224. An explicit-implicit Generalized Finite Difference scheme for a parabolic-elliptic density-suppressed motility system.
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Federico Herrero-Hervás
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- 2024
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225. Plasma and milk metabolomics in lactating sheep divergent for feed efficiency
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Pablo G. Toral, Leticia Abecia, Gonzalo Hervás, David R. Yáñez-Ruiz, and Pilar Frutos
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dairy ,ewe ,metabolite ,omics ,untargeted metabolomics ,Dairy processing. Dairy products ,SF250.5-275 ,Dairying ,SF221-250 - Abstract
ABSTRACT: Enhancing the ability of animals to convert feed into meat or milk by optimizing feed efficiency (FE) has become a priority in livestock research. Although untargeted metabolomics is increasingly used in this field and may improve our understanding of FE, no information in this regard is available in dairy ewes. This study was conducted to (1) discriminate sheep divergent for FE and (2) provide insights into the physiological mechanisms contributing to FE through high-throughput metabolomics. The ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q/TOF-MS) technique was applied to easily accessible animal fluids (plasma and milk) to assess whether their metabolome differs between high- and low-feed efficient lactating ewes (H-FE and L-FE groups, respectively; 8 animals/group). Blood and milk samples were collected on the last day of the 3-wk period used for FE estimation. A total of 793 features were detected in plasma and 334 in milk, with 100 and 38 of them, respectively, showing differences between H-FE and L-FE. The partial least-squares discriminant analysis separated both groups of animals regardless of the type of sample. Plasma allowed the detection of a greater number of differential features; however, results also supported the usefulness of milk, more easily accessible, to discriminate dairy sheep divergent for FE. Regarding pathway analysis, nitrogen metabolism (either anabolism or catabolism) seemed to play a central role in FE, with plasma and milk consistently indicating a great impact of AA metabolism. A potential influence of pathways related to energy/lipid metabolism on FE was also observed. The variable importance in the projection plot revealed 15 differential features in each matrix that contributed the most for the separation in H-FE and L-FE, such as l-proline and phosphatidylcholine 20:4e in plasma or l-pipecolic acid and phosphatidylethanolamine (18:2) in milk. Overall, untargeted metabolomics provided valuable information into metabolic pathways that may underlie FE in dairy ewes, with a special relevance of AA metabolism in determining this complex phenotype in the ovine. Further research is warranted to validate these findings.
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- 2023
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226. Hopelessness in Patients with Early-Stage Relapsing-Remitting Multiple Sclerosis
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Sainz de la Maza S, Maurino J, Castillo-Triviño T, Borges M, Sebastián Torres B, Sotoca J, Alonso Torres AM, Caminero AB, Borrega L, Sánchez-Menoyo JL, Barrero-Hernández FJ, Calles C, Brieva L, Blasco MR, Dotor García-Soto J, Rodríguez-Regal A, Navarro-Cantó L, Agüera-Morales E, Garcés M, Carmona O, Gabaldón-Torres L, Forero L, Hervás M, and Gómez-Ballesteros R
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relapsing-remitting multiple sclerosis ,hopelessness ,depressive symptoms ,workplace difficulties ,suicide ,Medicine (General) ,R5-920 - Abstract
Susana Sainz de la Maza,1 Jorge Maurino,2 Tamara Castillo-Triviño,3 Mónica Borges,4 Berta Sebastián Torres,5 Javier Sotoca,6 Ana María Alonso Torres,7 Ana B Caminero,8 Laura Borrega,9 José L Sánchez-Menoyo,10 Francisco J Barrero-Hernández,11 Carmen Calles,12 Luis Brieva,13 María Rosario Blasco,14 Julio Dotor García-Soto,4 Ana Rodríguez-Regal,15 Laura Navarro-Cantó,16 Eduardo Agüera-Morales,17 Moisés Garcés,18 Olga Carmona,19 Laura Gabaldón-Torres,20 Lucía Forero,21 Mariona Hervás,22 Rocío Gómez-Ballesteros2 1Department of Neurology, Hospital Universitario Ramón y Cajal, Madrid, Spain; 2Medical Department, Roche Farma, Madrid, Spain; 3Department of Neurology, Hospital Universitario Donostia, San Sebastián, Spain; 4Department of Neurology, Hospital Universitario Virgen Macarena, Sevilla, Spain; 5Department of Neurology, Hospital Universitario Miguel Servet, Zaragoza, Spain; 6Department of Neurology, Hospital Universitari Vall d´Hebrón, Barcelona, Spain; 7Department of Neurology, Hospital Regional Universitario de Málaga, Málaga, Spain; 8Department of Neurology, Complejo Asistencial de Ávila, Ávila, Spain; 9Department of Neurology, Hospital Universitario Fundación Alcorcón, Alcorcón, Spain; 10Department of Neurology, Hospital de Galdakao-Usansolo, Galdakao, Spain; 11Department of Neurology, Hospital Universitario Clínico San Cecilio, Granada, Spain; 12Department of Neurology, Hospital Universitari Son Espases, Palma de Mallorca, Spain; 13Department of Neurology, Hospital Universitari Arnau de Vilanova, Lleida, Spain; 14Department of Neurology, Hospital Universitario Puerta de Hierro, Madrid, Spain; 15Department of Neurology, Complexo Hospitalario Universitario de Pontevedra, Pontevedra, Spain; 16Department of Neurology, Hospital General Universitario de Elche, Elche, Spain; 17Department of Neurology, Hospital Universitario Reina Sofía, Córdoba, Spain; 18Department of Neurology, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain; 19Department of Neurology, Fundació Salut Empordà, Figueres, Spain; 20Department of Neurology, Hospital Francesc de Borja, Gandía, Spain; 21Department of Neurology, Hospital Universitario Puerta del Mar, Cádiz, Spain; 22Department of Neurology, Consorci Corporació Sanitària Parc Taulí, Sabadell, SpainCorrespondence: Jorge Maurino, Medical Department, Roche Farma, Ribera del Loira, 50, Madrid, 28042, Spain, Tel +34 913 24 81 00, Email jorge.maurino@roche.comBackground: Hopelessness is a risk factor for depression and suicide. There is little information on this phenomenon among patients with relapsing-remitting multiple sclerosis (RRMS), one of the most common causes of disability and loss of autonomy in young adults. The aim of this study was to assess state hopelessness and its associated factors in early-stage RRMS.Methods: A multicenter, non-interventional study was conducted. Adult patients with a diagnosis of RRMS, a disease duration ≤ 3 years, and an Expanded Disability Status Scale (EDSS) score of 0– 5.5 were included. The State-Trait Hopelessness Scale (STHS) was used to measure patients´ hopelessness. A battery of patient-reported and clinician-rated measurements was used to assess clinical status. A multivariate logistic regression analysis was conducted to determine the association between patients’ characteristics and state hopelessness.Results: A total of 189 patients were included. Mean age (standard deviation-SD) was 36.1 (9.4) years and 71.4% were female. Median disease duration (interquartile range-IQR) was 1.4 (0.7, 2.1) years. Symptom severity and disability were low with a median EDSS (IQR) score of 1.0 (0, 2.0). A proportion of 65.6% (n=124) of patients reported moderate-to-severe hopelessness. Hopelessness was associated with older age (p=0.035), depressive symptoms (p=< 0.001), a threatening illness perception (p=0.001), and psychological and cognitive barriers to workplace performance (p=0.029) in the multivariate analysis after adjustment for confounders.Conclusion: Hopelessness was a common phenomenon in early-stage RRMS, even in a population with low physical disability. Identifying factors associated with hopelessness may be critical for implementing preventive strategies helping patients to adapt to the new situation and cope with the disease in the long term.Keywords: relapsing-remitting multiple sclerosis, hopelessness, depressive symptoms, workplace difficulties, suicide
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- 2023
227. Could machine learning algorithms help us predict massive bleeding at prehospital level?
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Valiente Fernández, Marcos, García Fuentes, Carlos, Delgado Moya, Francisco de Paula, Marcos Morales, Adrián, Fernández Hervás, Hugo, Barea Mendoza, Jesús Abelardo, Mudarra Reche, Carolina, Bermejo Aznárez, Susana, Muñoz Calahorro, Reyes, López García, Laura, Monforte Escobar, Fernando, and Chico Fernández, Mario
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- 2023
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228. Pyrolysis of municipal solid waste: A kinetic study through multi-step reaction models
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Márquez, Alejandro, Patlaka, Elpida, Sfakiotakis, Stelios, Ortiz, Isabel, and Sánchez-Hervás, José María
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- 2023
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229. Phase separation modulates the functional amyloid assembly of human CPEB3
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Ramírez de Mingo, Daniel, López-García, Paula, Vaquero, María Eugenia, Hervás, Rubén, Laurents, Douglas V., and Carrión-Vázquez, Mariano
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- 2023
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230. ¿Podrían ayudarnos los algoritmos de machine learning en la predicción de hemorragia masiva a nivel prehospitalario?
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Valiente Fernández, Marcos, García Fuentes, Carlos, Delgado Moya, Francisco de Paula, Marcos Morales, Adrián, Fernández Hervás, Hugo, Barea Mendoza, Jesús Abelardo, Mudarra Reche, Carolina, Bermejo Aznárez, Susana, Muñoz Calahorro, Reyes, López García, Laura, Monforte Escobar, Fernando, and Chico Fernández, Mario
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- 2023
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231. Real-World Evaluation of GLP-1 Receptor Agonist Therapy Persistence, Adherence and Therapeutic Inertia Among Obese Adults with Type 2 Diabetes
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Palanca, Ana, Ampudia-Blasco, F. Javier, Calderón, José Miguel, Sauri, Inmaculada, Martinez-Hervás, Sergio, Trillo, José Luis, Redón, Josep, and Real, José T.
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- 2023
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232. Gaining Citizenship: Agonistic Paths to Integration in the Roman Empire
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Gordillo Hervás, Rocío, primary
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- 2023
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233. Nitrogen Monoxide Detection with Pentacene-Based Film Bulk Acoustic Resonators
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José Manuel Carmona-Cejas, Teona Mirea, Ricardo Hervás, Jimena Olivares, and Marta Clement
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FBAR sensor ,SMR sensor ,pentacene ,General Works - Abstract
Exposure to hazardous gases like NOx can have a negative effect on our health. High-performance sensors that are also able to sustain harsh environments are needed to control high levels of these contaminants, which in most cases, are generated by automotive exhaust or industrial factories. In this work, we prove NO detection in the ppm level, employing an AlN-based FBAR with pentacene as the active layer. FBARs are potential candidates as they have also proven operation and stability in harsh environments as well as temperature and humidity discrimination with a single sensor.
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- 2024
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234. Film Bulk Acoustic Resonators for Nitrogen Monoxide Detection at 250 °C
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José Manuel Carmona-Cejas, Teona Mirea, Ricardo Hervás, Jimena Olivares, and Marta Clement
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FBAR sensor ,high temperature ,gas detection ,metal-oxide ,General Works - Abstract
Exposure to hazardous gases like NOx can have a negative impact on our health. High-performance sensors are needed to control high levels of these contaminants, which, in most cases, are generated by automotive exhaust or industrial factories. In this work we demonstrate NO detection below the ppm level by employing an AlScN-based FBAR covered with a sputtered WO3 active layer. FBARs are potential candidates as they have also proved operation and stability in harsh environments as well as temperature and humidity discrimination with a single sensor.
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- 2024
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235. Effects of Diathermy on Pain in Women with Fibromyalgia: A Randomized Controlled Trial
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Edurne Úbeda-D’Ocasar, Daniela González-Gerstner, Eduardo Cimadevilla-Fernández-Pola, Cristina Ojedo-Martín, Juan Hernández-Lougedo, and Juan Pablo Hervás-Pérez
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fibromyalgia ,diathermy ,pain ,quality of life ,chronic fatigue ,anxiety ,Biology (General) ,QH301-705.5 - Abstract
(1) Background: The main characteristic of fibromyalgia (FM) is generalized musculoskeletal pain. This may be accompanied by muscle and joint stiffness, sleep and mood disorders, anxiety and depression, cognitive dysfunction, and chronic fatigue. It is endemic in developed countries, with a higher prevalence among women than men, and its etiology is still unknown. Diagnosis is made based on chronic generalized pain and through the presence of tender points. The objective of this study was to analyze the efficacy of diathermy on pain in patients with fibromyalgia. (2) Methods: A single, blind, randomized experimental study was developed with a sample of 31 participants. Measurements were taken and recorded at three different intervals using the following measurement tools: the pressure pain threshold (PPT) at the tender points (TP) of the right and left trochanteric prominence with an algometer, the pain measurement scale, the Fibromyalgia Impact Questionnaire, the sleep quality index (PSQI, Pittsburgh), the Multidimensional Fatigue Inventory (MFI-S), and the scale for anxiety and depression (Hospital Anxiety and Depression Scale). Sociodemographic data were collected through Google Forms (age, height, weight, Body Mass Index). The intervention took place twice weekly across four weeks of sessions. (3) Results: Statistically significant results were obtained in the right and left trochanter PPT, as well as for anxiety and fatigue in the experimental group. The results obtained show that this treatment has managed to improve the quality of sleep, the impact of disease, chronic fatigue, and anxiety in patients with FM. (4) Conclusions: Diathermy is a tool that can help reduce pain. It can also improve the baseline levels of chronic fatigue, anxiety, the impact of the disease, and sleep quality in patients with fibromyalgia.
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- 2024
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236. Transformation of Graphite Recovered from Batteries into Functionalized Graphene-Based Sorbents and Application to Gas Desulfurization
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Rodolfo Fernández-Martínez, Isabel Ortiz, M. Belén Gómez-Mancebo, Lorena Alcaraz, Manuel Fernández, Félix A. López, Isabel Rucandio, and José María Sánchez-Hervás
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Zn/C battery waste ,reduced graphene oxide ,rGO-based composites ,desulfurization ,syngas cleaning ,sustainability ,Organic chemistry ,QD241-441 - Abstract
The recycling and recovery of value-added secondary raw materials such as spent Zn/C batteries is crucial to reduce the environmental impact of wastes and to achieve cost-effective and sustainable processing technologies. The aim of this work is to fabricate reduced graphene oxide (rGO)-based sorbents with a desulfurization capability using recycled graphite from spent Zn/C batteries as raw material. Recycled graphite was obtained from a black mass recovered from the dismantling of spent batteries by a hydrometallurgical process. Graphene oxide (GO) obtained by the Tour’s method was comparable to that obtained from pure graphite. rGO-based sorbents were prepared by doping obtained GO with NiO and ZnO precursors by a hydrothermal route with a final annealing step. Recycled graphite along with the obtained GO, intermediate (rGO-NiO-ZnO) and final composites (rGO-NiO-ZnO-400) were characterized by Wavelength Dispersive X-ray Fluorescence (WDXRF) and X-ray diffraction (XRD) that corroborated the removal of metal impurities from the starting material as well as the presence of NiO- and ZnO-doped reduced graphene oxide. The performance of the prepared composites was evaluated by sulfidation tests under different conditions. The results revealed that the proposed rGO-NiO-ZnO composite present a desulfurization capability similar to that of commercial sorbents which constitutes a competitive alternative to syngas cleaning.
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- 2024
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237. Posterior Capsular Opacification and Glistening in Hydrophobic Monofocal Biaspheric Intraocular Lens Two Years After Implantation: A Case Control Study
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Ana Hervás-Ontiveros, Enrique España-Gregori, Carlos Fresno-Cañada, Rodrigo Butrón-Ruíz, and Alejandro Cerviño
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Ophthalmology ,RE1-994 - Abstract
Conclusion: Prevalence of PCO was considerably lower for Asqelio IOL than for the Control IOL and reports available in the literature for other hydrophobic IOLs. Prevalence of glistening was minimal in both study and control IOLs.
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- 2024
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238. Lomitapide for the treatment of paediatric homozygous familial hypercholesterolaemia patients - Results from the efficacy phase of the APH-19 study
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L. Masana, A. Zambon, C.P. Schmitt, C. Taylan, J. Driemeyer, H. Cohen, P.S. Buonuomo, A. Alashwal, M. Al-Dubayee, J.L. Diaz-Diaz, F. Maatouk, S. Martínez Hervás, B. Mangal, S. Löwe, and T. Cunningham
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Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Published
- 2023
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239. TIM-3 blockade in diffuse intrinsic pontine glioma models promotes tumor regression and antitumor immune memory
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Ausejo-Mauleon, Iker, Labiano, Sara, de la Nava, Daniel, Laspidea, Virginia, Zalacain, Marta, Marrodán, Lucía, García-Moure, Marc, González-Huarriz, Marisol, Hervás-Corpión, Irati, Dhandapani, Laasya, Vicent, Silvestre, Collantes, Maria, Peñuelas, Iván, Becher, Oren J., Filbin, Mariella G., Jiang, Li, Labelle, Jenna, de Biagi-Junior, Carlos A.O., Nazarian, Javad, Laternser, Sandra, Phoenix, Timothy N., van der Lugt, Jasper, Kranendonk, Mariette, Hoogendijk, Raoull, Mueller, Sabine, De Andrea, Carlos, Anderson, Ana C., Guruceaga, Elizabeth, Koschmann, Carl, Yadav, Viveka Nand, Gállego Pérez-Larraya, Jaime, Patiño-García, Ana, Pastor, Fernando, and Alonso, Marta M.
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- 2023
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240. Critical illness–associated cerebral microbleeds: What we learned after the COVID-19 pandemic. A systematic review
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Mariño, Eduardo, Hervás, Carlos, Lorenzo, Manuel, Corral, Carlos, Fuentes, Blanca, Alonso de Leciñana, María, and Rodríguez-Pardo, Jorge
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- 2023
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241. A multiscale orchestrated computational framework to reveal emergent phenomena in neuroblastoma
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Borau, C., Wertheim, K.Y., Hervas-Raluy, S., Sainz-DeMena, D., Walker, D., Chisholm, R., Richmond, P., Varella, V., Viceconti, M., Montero, A., Gregori-Puigjané, E., Mestres, J., Kasztelnik, M., and García-Aznar, J.M.
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- 2023
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242. Generalised triangular distributions for ordinal deep learning: Novel proposal and optimisation
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Vargas, Víctor Manuel, Durán-Rosal, Antonio Manuel, Guijo-Rubio, David, Gutiérrez, Pedro Antonio, and Hervás-Martínez, César
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- 2023
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243. Convergence of a meshless numerical method for a chemotaxis system with density-suppressed motility
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Herrero-Hervás, F., Negreanu, M., and Vargas, A.M.
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- 2023
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244. Epidemiology and characteristics of SARS-CoV-2 infection in the newborn and pregnant woman. Transplacemental transfer of immunoglobulins
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Suriñach-Ayats, Bruna, Carbonell-Estarellas, Emma, Becerra-Hervas, Judit, López-Bernal, Esther, Boronat, Susana, and Moliner-Calderon, Elisenda
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- 2023
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245. Identification of genomic regions associated with reproductive longevity in the Rubia Gallega beef cattle breed using a censored threshold model
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Martínez-Castillero, María, López-Carbonell, David, Srihi, Houssemeddine, Hervás-Rivero, Carlos, Altarriba, Juan, Martínez, Paulino, Hermida, Miguel, and Varona, Luis
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- 2023
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246. Balancing CO[formula omitted] emissions and economic cost in a microgrid through an energy management system using MPC and multi-objective optimization
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Vásquez, Luis O. Polanco, Redondo, Juana López, Hervás, José Domingo Álvarez, Ramírez, Víctor M., and Torres, José Luis
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- 2023
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247. Epidemiología y características de la infección por SARS-COV-2 en el recién nacido y la gestante. Transferencia transplacentaria de inmunoglobulinas
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Suriñach-Ayats, Bruna, Carbonell-Estarellas, Emma, Becerra-Hervas, Judit, López-Bernal, Esther, Boronat, Susana, and Moliner-Calderon, Elisenda
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- 2023
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248. Are you adopting artificial intelligence products? Social-demographic factors to explain customer acceptance
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Méndez-Suárez, Mariano, Monfort, Abel, and Hervas-Oliver, Jose-Luis
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- 2023
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249. Cluster analysis and forecasting of viruses incidence growth curves: Application to SARS-CoV-2
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Díaz-Lozano, Miguel, Guijo-Rubio, David, Gutiérrez, Pedro Antonio, and Hervás-Martínez, César
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- 2023
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250. A Low Energy Rare Event Search with the Majorana Demonstrator
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MAJORANA Collaboration, Wiseman, C., Arnquist, I. J., Avignone III, F. T., Barabash, A. S., Barton, C. J., Bertrand, F. E., Bos, B., Busch, M., Buuck, M., Caldwell, T. S., Chan, Y-D., Christofferson, C. D., Chu, P. -H., Clark, M. L., Cuesta, C., Detwiler, J. A., Drobizhev, A., Edwins, D. W., Efremenko, Yu., Ejiri, H., Elliott, S. R., Gilliss, T., Giovanetti, G. K., Green, M. P., Gruszko, J., Guinn, I. S., Guiseppe, V. E., Haufe, C. R., Hegedus, R. J., Henning, R., Aguilar, D. Hervas, Hoppe, E. W., Hostiuc, A., Kidd, M. F., Kim, I., Kouzes, R. T., Lopez, A. M., Lopez-Castano, J. M., Martin, E. L., Martin, R. D., Massarczyk, R., Meijer, S. J., Mertens, S., Myslik, J., Oli, T. K., Othman, G., Pettus, W., Poon, A. W. P., Radford, D. C., Rager, J., Reine, A. L., Rielage, K., Ruof, N. W., Sayki, B., Stortini, M. J., Tedeschi, D., Varner, R. L., Wilkerson, J. F., Xu, W., Yu, C. -H., and Zhu, B. X.
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Nuclear Experiment ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The MAJORANA DEMONSTRATOR is sensitive to rare events near its energy threshold, including bosonic dark matter, solar axions, and lightly ionizing particles. In this analysis, a novel training set of low energy small-angle Compton scatter events is used to determine the efficiency of pulse shape analysis cuts, and we present updated bosonic dark matter and solar axion results from an 11.17 kg-y dataset using a 5 keV analysis threshold., Comment: 4 pages, 4 figures. Proceedings of the 16th International Conference on Topics in Astroparticle and Underground Physics (TAUP 2019), September 9-13, 2019, Toyama, Japan
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- 2019
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