Bioinformatics analysis of potential targets influencing the prognosis of OSCC by ZOU Xian, SONG Tao

“…The prognostic model based on SPP1 and ITGA3 genes can effectively predict the prognosis of OSCC patients. [Conclusion:] ITGA3 and SPP1 may be biomarkers for the prognosis of OSCC patients. …”
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The J-PLUS collaboration. Additive versus multiplicative systematics in surveys of the large scale structure of the Universe by Carlos Hernández-Monteagudo, G. Aricò, J. Chaves-Montero, L. R. Abramo, P. Arnalte-Mur, A. Hernán-Caballero, Francisco José Galindo-Guil, C. López-Sanjuan, V. Marra, R. von Marttens, E. Tempel, J. Cenarro, D. Cristóbal-Hornillos, A. Marín-Franch, M. Moles, J. Varela, H. Vázquez Ramió, J. Alcaniz, R. Dupke, A. Ederoclite, L. Sodré Jr., R. E. Angulo

“…This model allows us devising a novel algorithm that addresses the identification and correction for either additive and/or multiplicative contaminants. …”
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Forecasting dengue in Bangladesh using meteorological variables with a novel feature selection approach by Mahadee Al Mobin

“…The study concludes that relative humidity is redundant in predicting dengue infection, while meteorological factors exhibit more significant short-term impacts compared to long-term and immediate impacts. …”
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Improving winter condition simulations in SURFEX-TEB v9.0 with a multi-layer snow model and ice by G. Colas, V. Masson, F. Bouttier, L. Bouilloud, L. Pavan, V. Karsisto

“…We have developed an ice content prediction to account for the freezing and melting of the water content on the surface. …”
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Intelligent Resource Allocation for Immersive VoD Multimedia in NG-EPON and B5G Converged Access Networks by Razat Kharga, AliAkbar Nikoukar, I-Shyan Hwang

“…The SDN framework manages the entire network, predicts bandwidth requirements, and operates the immersive media dynamic bandwidth allocation (IMS-DBA) algorithm to efficiently allocate bandwidth to IVoD network traffic, ensuring that QoS metrics are met for IM services. …”
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The balance between traffic control and economic development in tourist cities under the context of COVID-19: A case study of Xi'an, China. by Wang Xiang, Zezhi Wang, Xin Pan, Xiaobing Liu, Xuedong Yan, Li Chen

“…The results show that the Pearson correlation coefficient between the predicted data of this improved model and the actual data is 0.996, the R-square in the regression analysis is 0.993, with a significance level of below 0.001, suggesting that the predicted data of the model are more accurate. …”
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Microseismic Signals in Heading Face of Tengdong Coal Mine and Their Application for Rock Burst Monitoring by JianJu Ren, Wenlong Zhang, Zheng Wu, Ji Li, Ying Shen

“…Through trial operation, it is found that large energy (three-channel and four-channel triggering) coal vibration events successfully predicted a rock burst. The MS system of 117 track gateway of Tengdong coal mine should be able to remove the interference signals in real time through the algorithm and take the number of large energy coal vibration signal rather than all coal vibration events as the predictor for rock burst risk monitoring.…”
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Analysis of a nonsteroidal anti inflammatory drug solubility in green solvent via developing robust models based on machine learning technique by Lijie Jiang, Qi Li, Huiqing Liao, Hourong Liu, Bowen Tan

“…Abstract This study develops and evaluates advanced hybrid machine learning models—ADA-ARD (AdaBoost on ARD Regression), ADA-BRR (AdaBoost on Bayesian Ridge Regression), and ADA-GPR (AdaBoost on Gaussian Process Regression)—optimized via the Black Widow Optimization Algorithm (BWOA) to predict the density of supercritical carbon dioxide (SC-CO2) and the solubility of niflumic acid, critical for pharmaceutical processes. …”
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The Stability and Failure of Deep Underground Structures at Potash Mining Deposits by Yiqiang Zhang, Siarhei Lapatsin, Michael Zhuravkov, Guangbin Yu, Ivan Karpovich

“…The numerical simulations are conducted using a specific coupled algorithm of the finite element method (FEM) and distinct element method (DEM), which allows not only the prediction of dangerous zones in the undermined rock mass but also to simulation of the block fracture of the rock mass directly. …”
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Vehicular-Computational Resource Geofencing: Efficient Spatiotemporal Uncertainty Estimation by Ghada Afifi, Bassem Mokhtar

“…We evaluate the efficiency of the proposed resource geofencing algorithm under different realistic operating conditions. …”
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Application and Challenges of Artificial Intelligence in Different Branches of Dentistry by Ali Mirzaei, Melika Mollaei, Anahita Lotfizadeh, Mehdi Aryana, Alireza Ebrahimpour

“…Despite its potential, implementation faces obstacles including ethical considerations and algorithmic limitations. This review examines AI applications across dental specialties. …”
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Integrated neural network and AspenPlus model for entrained flow gasification kinetics investigation by Balaban Dario, Lubura Jelena, Kojić Predrag

“…High R2 values (>0.99) for all models suggested good agreement between simulated and predicted values. Genetic algorithm-based optimization studies for maximization of hydrogen content and cold gas efficiency result in mean ER values of 0.35 and 0.41, respectively, at a temperature of 1200 °C. …”
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Artificial intelligence-driven mobile interpretation of a semi-quantitative cryptococcal antigen lateral flow assay by David Bermejo-Peláez, Ana Alastruey-Izquierdo, Narda Medina, Daniel Capellán-Martín, Oscar Bonilla, Miguel Luengo-Oroz, Juan Luis Rodríguez-Tudela

“…The system exhibited capability of predicting CrAg concentrations exclusively based on a photograph of the LFA (Pearson correlation coefficient of 0.85). …”
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Data-Driven Insights into the Association Between Oxidative Stress and Calcium-Regulating Proteins in Cardiovascular Disease by Namuna Panday, Dibakar Sigdel, Irsyad Adam, Joseph Ramirez, Aarushi Verma, Anirudh N. Eranki, Wei Wang, Ding Wang, Peipei Ping

“…By leveraging a link prediction algorithm, our research illuminates the interactions between Ca²⁺-regulating proteins, OS, and CVDs. …”
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Enhancing Fault Detection in AUV-Integrated Navigation Systems: Analytical Models and Deep Learning Methods by Huibao Yang, Bangshuai Li, Xiujing Gao, Bo Xiao, Hongwu Huang

“…In this model, the fault detection function was formulated by comparing the predictions generated by the PSO-LSTM model with those derived from the Kalman filter. …”
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Detecting anomalies in blockchain transactions using machine learning classifiers and explainability analysis by Mohammad Hasan, Mohammad Shahriar Rahman, Helge Janicke, Iqbal H. Sarker

“…This algorithm is compared against other commonly used under-sampling and over-sampling techniques. …”
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Correlation learning based multi-task model and its application by XU Wei, LUO Jianping, LI Xia, CAO Wenming

“…Meanwhile, the proposed multi-task learning model is applied as a new agent model to the Bayesian optimization algorithm to solve expensive optimization problems. …”
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A New CDM-Based Approach for the Nonlinear Numerical Structural Analysis of Flax Fiber Reinforced Plastic by Rostislav Svidler, Roman Rinberg, Sascha Mueller, Lothar Kroll

“…Relying on initial or reduced secant moduli in linear quasi-static analyses of deformations or stress states can result in inaccurate outcomes and overly optimistic strength predictions, particularly in compression-dominated cases. …”
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Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach by Redouane Larbi Boufeniza, Luo Jingjia, Kemal Adem Abdela, Karam Alsafadi, Mohammad M Alsahli

“…Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. …”
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Measurement of top-quark pair production in association with charm quarks in proton–proton collisions at s=13 TeV with the ATLAS detector by G. Aad, E. Aakvaag, B. Abbott, S. Abdelhameed, K. Abeling, N.J. Abicht, S.H. Abidi, M. Aboelela, A. Aboulhorma, H. Abramowicz, H. Abreu, Y. Abulaiti, B.S. Acharya, A. Ackermann, C. Adam Bourdarios, L. Adamczyk, S.V. Addepalli, M.J. Addison, J. Adelman, A. Adiguzel, T. Adye, A.A. Affolder, Y. Afik, M.N. Agaras, A. Aggarwal, C. Agheorghiesei, F. Ahmadov, S. Ahuja, X. Ai, G. Aielli, A. Aikot, M. Ait Tamlihat, B. Aitbenchikh, M. Akbiyik, T.P.A. Åkesson, A.V. Akimov, D. Akiyama, N.N. Akolkar, S. Aktas, K. Al Khoury, G.L. Alberghi, J. Albert, P. Albicocco, G.L. Albouy, S. Alderweireldt, Z.L. Alegria, M. Aleksa, I.N. Aleksandrov, C. Alexa, T. Alexopoulos, F. Alfonsi, M. Algren, M. Alhroob, B. Ali, H.M.J. Ali, S. Ali, S.W. Alibocus, M. Aliev, G. Alimonti, W. Alkakhi, C. Allaire, B.M.M. Allbrooke, J.S. Allen, J.F. Allen, C.A. Allendes Flores, P.P. Allport, A. Aloisio, F. Alonso, C. Alpigiani, Z.M.K. Alsolami, M. Alvarez Estevez, A. Alvarez Fernandez, M. Alves Cardoso, M.G. Alviggi, M. Aly, Y. Amaral Coutinho, A. Ambler, C. Amelung, M. Amerl, C.G. Ames, D. Amidei, B. Amini, K.J. Amirie, S.P. Amor Dos Santos, K.R. Amos, D. Amperiadou, S. An, V. Ananiev, C. Anastopoulos, T. Andeen, J.K. Anders, A.C. Anderson, S.Y. Andrean, A. Andreazza, S. Angelidakis, A. Angerami, A.V. Anisenkov, A. Annovi, C. Antel, E. Antipov, M. Antonelli, F. Anulli, M. Aoki, T. Aoki, M.A. Aparo, L. Aperio Bella, C. Appelt, A. Apyan, S.J. Arbiol Val, C. Arcangeletti, A.T.H. Arce, J-F. Arguin, S. Argyropoulos, J.-H. Arling, O. Arnaez, H. Arnold, G. Artoni, H. Asada, K. Asai, S. Asai, N.A. Asbah, R.A. Ashby Pickering, K. Assamagan, R. Astalos, K.S.V. Astrand, S. Atashi, R.J. Atkin, H. Atmani, P.A. Atmasiddha, K. Augsten, A.D. Auriol, V.A. Austrup, G. Avolio, K. Axiotis, G. Azuelos, D. Babal, H. Bachacou, K. Bachas, A. Bachiu, E. Bachmann, A. Badea, T.M. Baer, P. Bagnaia, M. Bahmani, D. Bahner, K. Bai, J.T. Baines, L. Baines, O.K. Baker, E. Bakos, D. Bakshi Gupta, L.E. Balabram Filho, V. Balakrishnan, R. Balasubramanian, E.M. Baldin, P. Balek, E. Ballabene, F. Balli, L.M. Baltes, W.K. Balunas, J. Balz, I. Bamwidhi, E. Banas, M. Bandieramonte, A. Bandyopadhyay, S. Bansal, L. Barak, M. Barakat, E.L. Barberio, D. Barberis, M. Barbero, M.Z. Barel, T. Barillari, M-S. Barisits, T. Barklow, P. Baron, D.A. Baron Moreno, A. Baroncelli, A.J. Barr, J.D. Barr, F. Barreiro, J. Barreiro Guimarães da Costa, M.G. Barros Teixeira, S. Barsov, F. Bartels, R. Bartoldus, A.E. Barton, P. Bartos, A. Basan, M. Baselga, A. Bassalat, M.J. Basso, S. Bataju, R. Bate, R.L. Bates, S. Batlamous, B. Batool, M. Battaglia, D. Battulga, M. Bauce, M. Bauer, P. Bauer, L.T. Bazzano Hurrell, J.B. Beacham, T. Beau, J.Y. Beaucamp, P.H. Beauchemin, P. Bechtle, H.P. Beck, K. Becker, A.J. Beddall, V.A. Bednyakov, C.P. Bee, L.J. Beemster, T.A. Beermann, M. Begalli, M. Begel, A. Behera, J.K. Behr, J.F. Beirer, F. Beisiegel, M. Belfkir, G. Bella, L. Bellagamba, A. Bellerive, P. Bellos, K. Beloborodov, D. Benchekroun, F. Bendebba, Y. Benhammou, K.C. Benkendorfer, L. Beresford, M. Beretta, E. Bergeaas Kuutmann, N. Berger, B. Bergmann, J. Beringer, G. Bernardi, C. Bernius, F.U. Bernlochner, F. Bernon, A. Berrocal Guardia, T. Berry, P. Berta, A. Berthold, S. Bethke, A. Betti, A.J. Bevan, N.K. Bhalla, S. Bhatta, D.S. Bhattacharya, P. Bhattarai, Z.M. Bhatti, K.D. Bhide, V.S. Bhopatkar, R.M. Bianchi, G. Bianco, O. Biebel, M. Biglietti, C.S. Billingsley, Y. Bimgdi, M. Bindi, A. Bingham, A. Bingul, C. Bini, G.A. Bird, M. Birman, M. Biros, S. Biryukov, T. Bisanz, E. Bisceglie, J.P. Biswal, D. Biswas, I. Bloch, A. Blue, U. Blumenschein, J. Blumenthal, V.S. Bobrovnikov, M. Boehler, B. Boehm, D. Bogavac, A.G. Bogdanchikov, L.S. Boggia, C. Bohm, V. Boisvert, P. Bokan, T. Bold, M. Bomben, M. Bona, M. Boonekamp, A.G. Borbély, I.S. Bordulev, G. Borissov, D. Bortoletto, D. Boscherini, M. Bosman, K. Bouaouda, N. Bouchhar, L. Boudet, J. Boudreau, E.V. Bouhova-Thacker, D. Boumediene, R. Bouquet, A. Boveia, J. Boyd, D. Boye, I.R. Boyko, L. Bozianu, J. Bracinik, N. Brahimi, G. Brandt, O. Brandt, B. Brau, J.E. Brau, R. Brener, L. Brenner, R. Brenner, S. Bressler, G. Brianti, D. Britton, D. Britzger, I. Brock, R. Brock, G. Brooijmans, A.J. Brooks, E.M. Brooks, E. Brost, L.M. Brown, L.E. Bruce, T.L. Bruckler, P.A. Bruckman de Renstrom, B. Brüers, A. Bruni, G. Bruni, D. Brunner, M. Bruschi, N. Bruscino, T. Buanes, Q. Buat, D. Buchin, A.G. Buckley, O. Bulekov, B.A. Bullard, S. Burdin, C.D. Burgard, A.M. Burger, B. Burghgrave, O. Burlayenko, J. Burleson, J.T.P. Burr, J.C. Burzynski, E.L. Busch, V. Büscher, P.J. Bussey, J.M. Butler, C.M. Buttar, J.M. Butterworth, W. Buttinger, C.J. Buxo Vazquez, A.R. Buzykaev, S. Cabrera Urbán, L. Cadamuro, D. Caforio, H. Cai, Y. Cai, Y. Cai, V.M.M. Cairo, O. Cakir, N. Calace, P. Calafiura, G. Calderini, P. Calfayan, G. Callea, L.P. Caloba, D. Calvet, S. Calvet, R. Camacho Toro, S. Camarda, D. Camarero Munoz, P. Camarri, M.T. Camerlingo, D. Cameron, C. Camincher, M. Campanelli, A. Camplani, V. Canale, A.C. Canbay, E. Canonero, J. Cantero, Y. Cao, F. Capocasa, M. Capua, A. Carbone, R. Cardarelli, J.C.J. Cardenas, M.P. Cardiff, G. Carducci, T. Carli, G. Carlino, J.I. Carlotto, B.T. Carlson, E.M. Carlson, J. Carmignani, L. Carminati, A. Carnelli, M. Carnesale, S. Caron, E. Carquin, I.B. Carr, S. Carrá, G. Carratta, A.M. Carroll, M.P. Casado, M. Caspar, F.L. Castillo, L. Castillo Garcia, V. Castillo Gimenez, N.F. Castro, A. Catinaccio, J.R. Catmore, T. Cavaliere, V. Cavaliere, L.J. Caviedes Betancourt, Y.C. Cekmecelioglu, E. Celebi, S. Cella, V. Cepaitis, K. Cerny, A.S. Cerqueira, A. Cerri, L. Cerrito, F. Cerutti, B. Cervato, A. Cervelli, G. Cesarini, S.A. Cetin, P.M. Chabrillat, D. Chakraborty, J. Chan, W.Y. Chan, J.D. Chapman, E. Chapon, B. Chargeishvili, D.G. Charlton, M. Chatterjee, C. Chauhan, Y. Che, S. Chekanov, S.V. Chekulaev, G.A. Chelkov, A. Chen, B. Chen, B. Chen, H. Chen, H. Chen, J. Chen, J. Chen, M. Chen, S. Chen, S.J. Chen, X. Chen, X. Chen, Y. Chen, C.L. Cheng, H.C. Cheng, S. Cheong, A. Cheplakov, E. Cheremushkina, E. Cherepanova, R. Cherkaoui El Moursli, E. Cheu, K. Cheung, L. Chevalier, V. Chiarella, G. Chiarelli, N. Chiedde, G. Chiodini, A.S. Chisholm, A. Chitan, M. Chitishvili, M.V. Chizhov, K. Choi, Y. Chou, E.Y.S. Chow, K.L. Chu, M.C. Chu, X. Chu, Z. Chubinidze, J. Chudoba, J.J. Chwastowski, D. Cieri, K.M. Ciesla, V. Cindro, A. Ciocio, F. Cirotto, Z.H. Citron, M. Citterio, D.A. Ciubotaru, A. Clark, P.J. Clark, N. Clarke Hall, C. Clarry, J.M. Clavijo Columbie, S.E. Clawson, C. Clement, Y. Coadou, M. Cobal, A. Coccaro, R.F. Coelho Barrue, R. Coelho Lopes De Sa, S. Coelli, L.S. Colangeli, B. Cole, J. Collot, P. Conde Muiño, M.P. Connell, S.H. Connell, E.I. Conroy, F. Conventi, H.G. Cooke, A.M. Cooper-Sarkar, F.A. Corchia, A. Cordeiro Oudot Choi, L.D. Corpe, M. Corradi, F. Corriveau, A. Cortes-Gonzalez, M.J. Costa, F. Costanza, D. Costanzo, B.M. Cote, J. Couthures, G. Cowan, K. Cranmer, L. Cremer, D. Cremonini, S. Crépé-Renaudin, F. Crescioli, M. Cristinziani, M. Cristoforetti, V. Croft, J.E. Crosby, G. Crosetti, A. Cueto, H. Cui, Z. Cui, W.R. Cunningham, F. Curcio, J.R. Curran, P. Czodrowski, M.J. Da Cunha Sargedas De Sousa, J.V. Da Fonseca Pinto, C. Da Via, W. Dabrowski, T. Dado, S. Dahbi, T. Dai, D. Dal Santo, C. Dallapiccola, M. Dam, G. D'amen, V. D'Amico, J. Damp, J.R. Dandoy, D. Dannheim, M. Danninger, V. Dao, G. Darbo, S.J. Das, F. Dattola, S. D'Auria, A. D'Avanzo, C. David, T. Davidek, I. Dawson, H.A. Day-hall, K. De, C. De Almeida Rossi, R. De Asmundis, N. De Biase, S. De Castro, N. De Groot, P. de Jong, H. De la Torre, A. De Maria, A. De Salvo, U. De Sanctis, F. De Santis, A. De Santo, J.B. De Vivie De Regie, J. Debevc, D.V. Dedovich, J. Degens, A.M. Deiana, F. Del Corso, J. Del Peso, L. Delagrange, F. Deliot, C.M. Delitzsch, M. Della Pietra, D. Della Volpe, A. Dell'Acqua, L. Dell'Asta, M. Delmastro, C.C. Delogu, P.A. Delsart, S. Demers, M. Demichev, S.P. Denisov, L. D'Eramo, D. Derendarz, F. Derue, P. Dervan, K. Desch, C. Deutsch, F.A. Di Bello, A. Di Ciaccio, L. Di Ciaccio, A. Di Domenico, C. Di Donato, A. Di Girolamo, G. Di Gregorio, A. Di Luca, B. Di Micco, R. Di Nardo, K.F. Di Petrillo, M. Diamantopoulou, F.A. Dias, T. Dias Do Vale, M.A. Diaz, A.R. Didenko, M. Didenko, E.B. Diehl, S. Díez Cornell, C. Diez Pardos, C. Dimitriadi, A. Dimitrievska, J. Dingfelder, T. Dingley, I-M. Dinu, S.J. Dittmeier, F. Dittus, M. Divisek, B. Dixit, F. Djama, T. Djobava, C. Doglioni, A. Dohnalova, Z. Dolezal, K. Domijan, K.M. Dona, M. Donadelli, B. Dong, J. Donini, A. D'Onofrio, M. D'Onofrio, J. Dopke, A. Doria, N. Dos Santos Fernandes, P. Dougan, M.T. Dova, A.T. Doyle, M.A. Draguet, M.P. Drescher, E. Dreyer, I. Drivas-koulouris, M. Drnevich, M. Drozdova, D. Du, T.A. du Pree, F. Dubinin, M. Dubovsky, E. Duchovni, G. Duckeck, O.A. Ducu, D. Duda, A. Dudarev, E.R. Duden, M. D'uffizi, L. Duflot, M. Dührssen, I. Duminica, A.E. Dumitriu, M. Dunford, S. Dungs, K. Dunne, A. Duperrin, H. Duran Yildiz, M. Düren, A. Durglishvili, B.L. Dwyer, G.I. Dyckes, M. Dyndal, B.S. Dziedzic, Z.O. Earnshaw, G.H. Eberwein, B. Eckerova, S. Eggebrecht, E. Egidio Purcino De Souza, L.F. Ehrke, G. Eigen, K. Einsweiler, T. Ekelof, P.A. Ekman, S. El Farkh, Y. El Ghazali, H. El Jarrari, A. El Moussaouy, V. Ellajosyula, M. Ellert, F. Ellinghaus, N. Ellis, J. Elmsheuser, M. Elsawy, M. Elsing, D. Emeliyanov, Y. Enari, I. Ene, S. Epari, P.A. Erland, D. Ernani Martins Neto, M. Errenst, M. Escalier, C. Escobar, E. Etzion, G. Evans, H. Evans, L.S. Evans, A. Ezhilov, S. Ezzarqtouni, F. Fabbri, L. Fabbri, G. Facini, V. Fadeyev, R.M. Fakhrutdinov, D. Fakoudis, S. Falciano, L.F. Falda Ulhoa Coelho, F. Fallavollita, G. Falsetti, J. Faltova, C. Fan, K.Y. Fan, Y. Fan, Y. Fang, M. Fanti, M. Faraj, Z. Farazpay, A. Farbin, A. Farilla, T. Farooque, J.N. Farr, S.M. Farrington, F. Fassi, D. Fassouliotis, M. Faucci Giannelli, W.J. Fawcett, L. Fayard, P. Federic, P. Federicova, O.L. Fedin, M. Feickert, L. Feligioni, D.E. Fellers, C. Feng, Z. Feng, M.J. Fenton, L. Ferencz, R.A.M. Ferguson, P. Fernandez Martinez, M.J.V. Fernoux, J. Ferrando, A. Ferrari, P. Ferrari, R. Ferrari, D. Ferrere, C. Ferretti, M.P. Fewell, D. Fiacco, F. Fiedler, P. Fiedler, S. Filimonov, A. Filipčič, E.K. Filmer, F. Filthaut, M.C.N. Fiolhais, L. Fiorini, W.C. Fisher, T. Fitschen, P.M. Fitzhugh, I. Fleck, P. Fleischmann, T. Flick, M. Flores, L.R. Flores Castillo, L. Flores Sanz De Acedo, F.M. Follega, N. Fomin, J.H. Foo, A. Formica, A.C. Forti, E. Fortin, A.W. Fortman, M.G. Foti, L. Fountas, D. Fournier, H. Fox, P. Francavilla, S. Francescato, S. Franchellucci, M. Franchini, S. Franchino, D. Francis, L. Franco, V. Franco Lima, L. Franconi, M. Franklin, G. Frattari, Y.Y. Frid, J. Friend, N. Fritzsche, A. Froch, D. Froidevaux, J.A. Frost, Y. Fu, S. Fuenzalida Garrido, M. Fujimoto, K.Y. Fung, E. Furtado De Simas Filho, M. Furukawa, J. Fuster, A. Gaa, A. Gabrielli, A. Gabrielli, P. Gadow, G. Gagliardi, L.G. Gagnon, S. Gaid, S. Galantzan, J. Gallagher, E.J. Gallas, A.L. Gallen, B.J. Gallop, K.K. Gan, S. Ganguly, Y. Gao, F.M. Garay Walls, B. Garcia, C. García, A. Garcia Alonso, A.G. Garcia Caffaro, J.E. García Navarro, M. Garcia-Sciveres, G.L. Gardner, R.W. Gardner, N. Garelli, R.B. Garg, J.M. Gargan, C.A. Garner, C.M. Garvey, V.K. Gassmann, G. Gaudio, V. Gautam, P. Gauzzi, J. Gavranovic, I.L. Gavrilenko, A. Gavrilyuk, C. Gay, G. Gaycken, E.N. Gazis, A.A. Geanta, A. Gekow, C. Gemme, M.H. Genest, A.D. Gentry, S. George, W.F. George, T. Geralis, A.A. Gerwin, P. Gessinger-Befurt, M.E. Geyik, M. Ghani, K. Ghorbanian, A. Ghosal, A. Ghosh, A. Ghosh, B. Giacobbe, S. Giagu, T. Giani, A. Giannini, S.M. Gibson, M. Gignac, D.T. Gil, A.K. Gilbert, B.J. Gilbert, D. Gillberg, G. Gilles, L. Ginabat, D.M. Gingrich, M.P. Giordani, P.F. Giraud, G. 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“…The measurements are primarily limited by uncertainties in the modeling of inclusive tt¯ and tt¯+bb¯ production, in the calibration of the flavor-tagging algorithm, and by data statistics. Cross-section predictions from various tt¯ simulations are largely consistent with the measured cross-section values, though all underpredict the observed values by 0.5 to 2.0 standard deviations. …”
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