Exploring phonon mediated superconductivity of $$\hbox {LiB}_{{2}} \hbox {N}_{{2}}$$ and $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ under high pressure insight from first-principles cal... by Prutthipong Tsuppayakorn-aek, Thiti Bovornratanaraks, Komsilp Kotmool

“…In contrast, $$\hbox {LiC}_{{2}} \hbox {N}_{{2}}$$ is predicted to have a monoclinic structure (C2/m) at low pressures and a hexagonal structure ( $$P6_{3}/mmc$$ ) at higher pressures. …”
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Comparative analysis of endometrial gland imaging and pinopode detection for assessing endometrial receptivity by Min-bo Zhu, Bei-lei Chen, Meng Cen, Li-ping Chen, Zheng Shi

“…The objective was to compare the correlation between the two methods in evaluating endometrial receptivity and predicting pregnancy outcomes and to assess the consistency between the quantitative curves and pregnancy outcomes of the two methods in the cohort study. …”
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Bioinformatics analysis to explore biomarkers and mechanisms of action associated with endoplasmic reticulum stress and ferroptosis in Parkinson's disease. by Hao Wang, Lijuan Feng, Limeng He, Nan Liu, Yan Wan, Wei Zhang

“…Subsequently, biomarkers were validated using the least absolute shrinkage and selection operator regression algorithm. Additionally, correlations among biomarkers, gene set enrichment analysis, chromosomal and subcellular localization, immune cell infiltration, regulatory mechanisms, and drug predictions were conducted.…”
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Unraveling the structural and functional consequences of non-synonymous single-nucleotide polymorphisms (nsSNPs) in human SOCS2: an in silico approach by Tanvir Hossain, Md. Nur Islam, Md. Anwar Hossain, Md. Mofizur Rahman, Mohammed Mafizul Islam, Shipan Das Gupta

“…After a series of analysis, three mutants (G47R, Y49H, and I171S) were subjected to molecular dynamic simulation, principal component analysis, and free energy landscape to understand their impact during the course of mutation. The STRING algorithm was used to predict protein–protein interactions. …”
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Deep learning-based automated segmentation and quantification of the dural sac cross-sectional area in lumbar spine MRI by George Ghobrial, Christian Roth

“…The models were trained on T1-weighted axial MRI images and evaluated on metrics such as accuracy, precision, recall, F1-score, and mean absolute error (MAE).ResultsAll models exhibited a high correlation between predicted and actual DSCA values. The MultiResUNet model achieved superior results, with a Pearson correlation coefficient of 0.9917 and an MAE of 23.7032 mm2 on the primary dataset. …”
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Development of Flash Flood Forecasting System for Small and Medium‐Sized Rivers by Koji Ikeuchi, Daiki Kakinuma, Yosuke Nakamura, Shingo Numata, Takafumi Mochizuki, Keijiro Kubota, Masaki Yasukawa, Toshihiro Nemoto, Toshio Koike

“…Therefore, we developed a system that can accurately predict when river water levels will reach the Flood Risk Level (FRL). …”
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Quality of a fished resource: Assessing spatial and temporal dynamics. by Sarah J Teck, Julio Lorda, Nick T Shears, Tal Ben-Horin, Rebecca E Toseland, Sarah T Rathbone, Dave Rudie, Steven D Gaines

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Artificial intelligence-based personalised rituximab treatment protocol in membranous nephropathy (iRITUX): protocol for a multicentre randomised control trial by Céline Fernandez, Marion Cremoni, Laurent Bailly, Kevin Zorzi, Vesna Brglez, Barbara Seitz-Polski, Maxime Teisseyre, Alexandre Destere, Sylvain Benito

“…We have previously developed a machine learning algorithm to predict the risk of underdosing. We have retrospectively shown that patients with a high risk of underdosing required higher doses of rituximab to achieve remission. …”
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Deep learning-based anterior segment identification and parameter assessment of primary angle closure disease in ultrasound biomicroscopy images by Xingzhi Sun, Guotong Xie, Kun Lv, Xiaoyue Zhang, Bin Lv, Yuan Ni, Yao Ma, Fangting Li, Kangyi Yang, Jiayin Qin, Huijuan Wu

“…Purpose To develop an artificial intelligence algorithm to automatically identify the anterior segment structures and assess multiple parameters of primary angle closure disease (PACD) in ultrasound biomicroscopy (UBM) images.Design Development and validation of an artificial intelligence algorithm for UBM images.Methods:2339 UBM images from 592 subjects were collected for algorithm development. …”
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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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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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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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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. Giugliarelli, D. Giugni, F. Giuli, I. Gkialas, L.K. Gladilin, C. Glasman, G.R. Gledhill, G. Glemža, M. Glisic, I. Gnesi, Y. Go, M. Goblirsch-Kolb, B. Gocke, D. Godin, B. Gokturk, S. Goldfarb, T. Golling, M.G.D. Gololo, D. Golubkov, J.P. Gombas, A. Gomes, G. Gomes Da Silva, A.J. Gomez Delegido, R. Gonçalo, L. Gonella, A. Gongadze, F. Gonnella, J.L. Gonski, R.Y. González Andana, S. González de la Hoz, R. Gonzalez Lopez, C. Gonzalez Renteria, M.V. Gonzalez Rodrigues, R. Gonzalez Suarez, S. Gonzalez-Sevilla, L. Goossens, B. Gorini, E. Gorini, A. Gorišek, T.C. Gosart, A.T. Goshaw, M.I. Gostkin, S. Goswami, C.A. Gottardo, S.A. Gotz, M. Gouighri, V. Goumarre, A.G. Goussiou, N. Govender, R.P. Grabarczyk, I. Grabowska-Bold, K. Graham, E. Gramstad, S. Grancagnolo, C.M. Grant, P.M. Gravila, F.G. Gravili, H.M. Gray, M. Greco, M.J. Green, C. Grefe, A.S. Grefsrud, I.M. Gregor, K.T. Greif, P. Grenier, S.G. Grewe, A.A. Grillo, K. Grimm, S. Grinstein, J.-F. Grivaz, E. Gross, J. Grosse-Knetter, L. 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Zanzottera, O. Zaplatilek, C. Zeitnitz, H. Zeng, J.C. Zeng, D.T. Zenger, Jr, O. Zenin, T. Ženiš, S. Zenz, S. Zerradi, D. Zerwas, M. Zhai, D.F. Zhang, J. Zhang, J. Zhang, K. Zhang, L. Zhang, L. Zhang, P. Zhang, R. Zhang, S. Zhang, S. Zhang, T. Zhang, X. Zhang, Y. Zhang, Y. Zhang, Y. Zhang, Z. Zhang, Z. Zhang, Z. Zhang, H. Zhao, T. Zhao, Y. Zhao, Z. Zhao, Z. Zhao, A. Zhemchugov, J. Zheng, K. Zheng, X. Zheng, Z. Zheng, D. Zhong, B. Zhou, H. Zhou, N. Zhou, Y. Zhou, Y. Zhou, Y. Zhou, C.G. Zhu, J. Zhu, X. Zhu, Y. Zhu, Y. Zhu, X. Zhuang, K. Zhukov, N.I. Zimine, J. Zinsser, M. Ziolkowski, L. Živković, A. Zoccoli, K. Zoch, T.G. Zorbas, O. Zormpa, W. Zou, L. Zwalinski

“…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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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…To address these limitations, we propose a novel algorithm that integrates an optimized YOLOv8 model with DeepSORT tracking, enhancing both detection accuracy and real time performance. …”
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Color image encryption method based on four-dimensional multi-scroll multi-wing hyperchaotic system and DNA mutation mechanism by Qi Peng, Kun Zhang, Bing Zheng, Hao Ning, Yu Zhou, Xin Xie

“…However, traditional low-dimensional chaotic systems often suffer from limited complexity and predictability, making them insufficient for high-security image encryption applications. …”
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Evaluation method of hydrophobicity of composite insulators based on improved Mask R-CNN by SHENG Fei, CAO Liu, LIU Yulong, HUANG Jie, HUANG Yaqian, ZHU Yanqing

“…Firstly, the location and size of all water droplets in the image are determined by feature pyramid network (FPN) and the mask branch of Mask R-CNN is used to predict the hydrophobicity level of all water droplets. …”
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Smart Agriculture Applications and Data Analysis with Industry 4.0 by Abdullah Sevin, Yasin Ömercikoğlu

“…The world’s food demand is predicted to exceed its food supply significantly in the coming periods. …”
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Estimation of Elasticity of Porous Rock Based on Mineral Composition and Microstructure by Zaobao Liu, Jianfu Shao, Weiya Xu, Chong Shi

“…Afterwards, this model is validated to give predictions of the left 7 samples. By comparison with the regression methods, the proposed strategy, that is, the PSO optimized SVM, performs much better on the training samples and shows a good capability in generating estimations of the ECS of the 7 testing samples based on the mineral composition and microstructures.…”
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