Intention-aware exercise recommendation enhanced by deep forgetting modeling for e-learning by Zezheng Wu, Jingwei Zhang, Minghao Liu, Xiaoyang Huang, Qing Yang

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Early cardio-oncology intervention in thoracic radiotherapy: prospective single-arm pilot study by Samuel C. Zhang, Jordan O. Gasho, Celeste Eno, Katrina D. Silos, Felicity Pendergast, Wenjuan Zhang, Eric Vail, Mitchell Kamrava, Behrooz Hakimian, Amin Mirhadi, Raymond H. Mak, Andriana P. Nikolova, Katelyn M. Atkins

“…Abstract Background While there is increasing recognition of the morbidity of cardiovascular disease in cancer survivors, including accelerated atherosclerosis following thoracic radiotherapy, patients are frequently under-optimized for cardiovascular risk. Methods In this prospective single-arm cohort pilot study, patients were treated with high-dose thoracic radiotherapy and had early consultation with cardio-oncology. …”
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COMPUTED ANGIOGRAPHY IN DEDICATED ASSESSMENT OF OCCLUSIVE CAROTID DISEASE FOR RECONSTRUCTIVE SURGERY PLANNING by M. V. Vishnyakova Jr, I. N. Pronin, R. N. Lar’kov, M. V. Vishnyakova

“…Objective – to optimize dedicated assessment of carotid arteries in case of occlusive disease with computed angiography (CTA).Material and methods. …”
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Breast Cancer Screening Using a Modified Inertial Projective Algorithms for Split Feasibility Problems by Pennipat Nabheerong, Warissara Kiththiworaphongkich, Watcharaporn Cholamjiak

“…To detect breast cancer in mammography screening practice, we modify the inertial relaxed CQ algorithm with Mann’s iteration for solving split feasibility problems in real Hilbert spaces to apply in an extreme learning machine as an optimizer. …”
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Modern Trends in Imaging X: Spectral Imaging in Preclinical Research and Clinical Pathology by Richard Levenson, Joseph Beechem, George McNamara

“…Spectral imaging methods are attracting increased interest from researchers and practitioners in basic science, pre-clinical and clinical arenas. …”
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Search for Neutrino Doublets and Triplets Using 11.4 yr of IceCube Data by R. Abbasi, M. Ackermann, J. Adams, S. K. Agarwalla, J. A. Aguilar, M. Ahlers, J.M. Alameddine, N. M. Amin, K. Andeen, C. Argüelles, Y. Ashida, S. Athanasiadou, S. N. Axani, R. Babu, X. Bai, A. Balagopal V., M. Baricevic, S. W. Barwick, S. Bash, V. Basu, R. Bay, J. J. Beatty, J. Becker Tjus, J. Beise, C. Bellenghi, S. BenZvi, D. Berley, E. Bernardini, D. Z. Besson, E. Blaufuss, L. Bloom, S. Blot, F. Bontempo, J. Y. Book Motzkin, C. Boscolo Meneguolo, S. Böser, O. Botner, J. Böttcher, J. Braun, B. Brinson, Z. Brisson-Tsavoussis, J. Brostean-Kaiser, L. Brusa, R. T. Burley, D. Butterfield, M. A. Campana, I. Caracas, K. Carloni, J. Carpio, S. Chattopadhyay, N. Chau, Z. Chen, D. Chirkin, S. Choi, B. A. Clark, A. Coleman, P. Coleman, G. H. Collin, A. Connolly, J. M. Conrad, R. Corley, D. F. Cowen, C. De Clercq, J. J. DeLaunay, D. Delgado, S. Deng, A. Desai, P. Desiati, K. D. de Vries, G. de Wasseige, T. DeYoung, A. Diaz, J. C. Díaz-Vélez, P. Dierichs, M. Dittmer, A. Domi, L. Draper, H. Dujmovic, D. Durnford, K. Dutta, M. A. DuVernois, T. Ehrhardt, L. Eidenschink, A. Eimer, P. Eller, E. Ellinger, S. El Mentawi, D. Elsässer, R. Engel, H. Erpenbeck, W. Esmail, J. Evans, P. A. Evenson, K. L. Fan, K. Fang, K. Farrag, A. R. Fazely, A. Fedynitch, N. Feigl, S. Fiedlschuster, C. Finley, L. Fischer, D. Fox, A. Franckowiak, S. Fukami, P. Fürst, J. Gallagher, E. Ganster, A. Garcia, M. Garcia, G. Garg, E. Genton, L. Gerhardt, A. Ghadimi, C. Girard-Carillo, C. Glaser, T. Glüsenkamp, J. G. Gonzalez, S. Goswami, A. Granados, D. Grant, S. J. Gray, S. Griffin, S. Griswold, K. M. Groth, D. Guevel, C. Günther, P. Gutjahr, C. Ha, C. Haack, A. Hallgren, L. Halve, F. Halzen, L. Hamacher, H. Hamdaoui, M. Ha Minh, M. Handt, K. Hanson, J. Hardin, A. A. Harnisch, P. Hatch, A. Haungs, J. Häussler, K. Helbing, J. Hellrung, J. Hermannsgabner, L. Heuermann, N. Heyer, S. Hickford, A. Hidvegi, C. Hill, G. C. Hill, R. Hmaid, K. D. Hoffman, S. Hori, K. Hoshina, M. Hostert, W. Hou, T. Huber, K. Hultqvist, M. Hünnefeld, R. Hussain, K. Hymon, A. Ishihara, W. Iwakiri, M. Jacquart, S. Jain, O. Janik, M. Jansson, M. Jeong, M. Jin, B. J. P. Jones, N. Kamp, D. Kang, W. Kang, X. Kang, A. Kappes, D. Kappesser, L. Kardum, T. Karg, M. Karl, A. Karle, A. Katil, U. Katz, M. Kauer, J. L. Kelley, M. Khanal, A. Khatee Zathul, A. Kheirandish, J. Kiryluk, S. R. Klein, Y. Kobayashi, A. Kochocki, R. Koirala, H. Kolanoski, T. Kontrimas, L. Köpke, C. Kopper, D. J. Koskinen, P. Koundal, M. Kowalski, T. Kozynets, N. Krieger, J. Krishnamoorthi, T. Krishnan, K. Kruiswijk, E. Krupczak, A. Kumar, E. Kun, N. Kurahashi, N. Lad, C. Lagunas Gualda, M. Lamoureux, M. J. Larson, F. Lauber, J. P. Lazar, K. Leonard DeHolton, A. Leszczyńska, J. Liao, M. Lincetto, Y. T. Liu, M. Liubarska, C. Love, L. Lu, F. Lucarelli, W. Luszczak, Y. Lyu, J. Madsen, E. Magnus, K. B. M. Mahn, Y. Makino, E. Manao, S. Mancina, A. Mand, W. Marie Sainte, I. C. Mariş, S. Marka, Z. Marka, M. Marsee, I. Martinez-Soler, R. Maruyama, F. Mayhew, F. McNally, J. V. Mead, K. Meagher, S. Mechbal, A. Medina, M. Meier, Y. Merckx, L. Merten, J. Mitchell, T. Montaruli, R. W. Moore, Y. Morii, R. Morse, M. Moulai, T. Mukherjee, R. Naab, M. Nakos, U. Naumann, J. Necker, A. Negi, L. Neste, M. Neumann, H. Niederhausen, M. U. Nisa, K. Noda, A. Noell, A. Novikov, A. Obertacke Pollmann, V. O’Dell, A. Olivas, R. Orsoe, J. Osborn, E. O’Sullivan, V. Palusova, H. Pandya, N. Park, G. K. Parker, V. Parrish, E. N. Paudel, L. Paul, C. Pérez de los Heros, T. Pernice, J. Peterson, A. Pizzuto, M. Plum, A. Pontén, Y. Popovych, M. Prado Rodriguez, B. Pries, R. Procter-Murphy, G. T. Przybylski, L. Pyras, C. Raab, J. Rack-Helleis, N. Rad, M. Ravn, K. Rawlins, Z. Rechav, A. Rehman, E. Resconi, S. Reusch, W. Rhode, B. Riedel, A. Rifaie, E. J. Roberts, S. Robertson, S. Rodan, M. Rongen, A. Rosted, C. Rott, T. Ruhe, L. Ruohan, D. Ryckbosch, I. Safa, J. Saffer, D. Salazar-Gallegos, P. Sampathkumar, A. Sandrock, M. Santander, S. Sarkar, S. Sarkar, J. Savelberg, P. Savina, P. Schaile, M. Schaufel, H. Schieler, S. Schindler, L. Schlickmann, B. Schlüter, F. Schlüter, N. Schmeisser, T. Schmidt, J. Schneider, F. G. Schröder, L. Schumacher, S. Schwirn, S. Sclafani, D. Seckel, L. Seen, M. Seikh, M. Seo, S. Seunarine, P. Sevle Myhr, R. Shah, S. Shefali, N. Shimizu, M. Silva, B. Skrzypek, B. Smithers, R. Snihur, J. Soedingrekso, A. Søgaard, D. Soldin, P. Soldin, G. Sommani, C. Spannfellner, G. M. Spiczak, C. Spiering, J. Stachurska, M. Stamatikos, T. Stanev, T. Stezelberger, T. Stürwald, T. Stuttard, G. W. Sullivan, I. Taboada, S. Ter-Antonyan, A. Terliuk, M. Thiesmeyer, W. G. Thompson, J. Thwaites, S. Tilav, K. Tollefson, C. Tönnis, S. Toscano, D. Tosi, A. Trettin, M. A. Unland Elorrieta, A. K. Upadhyay, K. Upshaw, A. Vaidyanathan, N. Valtonen-Mattila, J. Vandenbroucke, N. van Eijndhoven, D. Vannerom, J. van Santen, J. Vara, F. Varsi, J. Veitch-Michaelis, M. Venugopal, M. Vereecken, S. Vergara Carrasco, S. Verpoest, D. Veske, A. Vijai, C. Walck, A. Wang, C. Weaver, P. Weigel, A. Weindl, J. Weldert, A. Y. Wen, C. Wendt, J. Werthebach, M. Weyrauch, N. Whitehorn, C. H. Wiebusch, D. R. Williams, L. Witthaus, M. Wolf, G. Wrede, X. W. Xu, J. P. Yanez, E. Yildizci, S. Yoshida, R. Young, F. Yu, S. Yu, T. Yuan, A. Zegarelli, S. Zhang, Z. Zhang, P. Zhelnin, P. Zilberman, M. Zimmerman, IceCube Collaboration

“…A new search method optimized for transient neutrino emission with a monthly timescale is employed, providing a higher sensitivity to neutrino fluxes. …”
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Germline variants of the MMR/EPCAM genes in Russian patients with Lynch syndrome by Aleksey S. Tsukanov, Aleksey A. Barinov, Vitaly P. Shubin, Anna N. Loginova, Dmitry Yu. Pikunov, Dmitry G. Shakhmatov, Yuri A. Shelygin, Sergey I. Achkasov

“…Thirteen (9.2%) of the detected variants were associated with large deletions/duplications. …”
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Advances and challenges in neoantigen prediction for cancer immunotherapy by Yi Zhang, Ting-Ting Chen, Xiong Li, Ai-Lin Lan, Peng-Fei Ji, Ya-Juan Zhu, Xue-Yao Ma

“…Integrating these two methods enhances prediction accuracy but faces challenges due to tumor heterogeneity, HLA diversity, and immune evasion. …”
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Electron Paramagnetic Resonance in Lignocellulosic Biomass Pyrolysis Mechanism: Advancements, Applications, and Prospects by Zhongyang Luo, Longyi Liu, Feiting Miao, Wanchen Zhu, Longfei Li, Yuanlin Wang

“…It starts with the advancements of EPR, including EPR spectroscopy principles, radical trapping methods, and spectrum analysis. This review establishes the radical-mediated reaction pathway spanning model compounds to native lignocellulosic biomass, via detecting and identifying the key radicals in the pyrolysis process and pyrolysis products. …”
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Adaptive Reference Image Set Selection in Automated X-Ray Inspection by Xinhua Xiao, Andrew Ferro, Tao Ma, Chia Y. Han, Xuefu Zhou, William Wee

“…The automatic radioscopic inspection of industrial parts usually uses reference based methods. These methods select, as benchmark for comparison, image data from good parts to detect the anomalies of parts under inspection. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…These signals can be obscured by noise or exhibit complex, non-stationary behavior, making them difficult to detect and analyze using conventional Fourier-based methods. …”
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BRAF in Melanoma: Pathogenesis, Diagnosis, Inhibition, and Resistance by Ryan J. Sullivan, Keith T. Flaherty

“…This paper provides an overview on the pathogenic ramifications of mutant BRAF signaling, the latest molecular testing methods to detect BRAF mutations, and the most recent clinical data of BRAF pathway inhibitors in patients with melanoma and BRAF mutations. …”
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Re-use of Building Products in the Netherlands by Loriane Icibaci

“…The key findings in this research stage were: Regarding housing survivability, the housing stock in the Netherlands evolved to be characterized by single-family private houses, apparently larger, built under non-traditional methods and better sound constructed compared to the recent post-war period. …”
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Recirculation in Veno-Venous Extracorporeal Membrane Oxygenation by Veronica Gagliardi, Giuseppe Gagliardi

“…As recirculation may significantly reduce extracorporeal oxygen delivery, leading to refractory hypoxemia, detecting and quantifying the recirculation fraction is fundamental in order to optimize VV-ECMO lung support. …”
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Dual contrast-enhanced ultrasound for diagnosing pathologic nipple discharge associated with papillary lesions by Yanchun Zhao, Songsong Wu, Zhongtao Bao, Yucheng Lin, Ziwei Xu, Xing Chen, Lingpeng Tang, Guorong Lyu

“…Compared to conventional US, dual contrast-enhanced US was more accurate in locating and detecting papillary lesions (P < 0.001). The optimized BI-RADS classification allowed for a more informed prediction of the malignancy risk associated with papillary lesions. …”
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Machine learning and complex network analysis of drug effects on neuronal microelectrode biosensor data by Manuel Ciba, Marc Petzold, Caroline L. Alves, Francisco A. Rodrigues, Yasuhiko Jimbo, Christiane Thielemann

“…Microelectrode array recordings of neuronal networks exposed to bicuculline, a GABA $$_A$$ receptor antagonist known to induce hypersynchrony, demonstrated the workflow’s ability to detect and characterize pharmacological effects. The workflow integrates network-based features with synchrony, optimizing preprocessing parameters, including spike train bin sizes, segmentation window sizes, and correlation methods. …”
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Base Station Placement Algorithm for Large-Scale LTE Heterogeneous Networks. by Seungseob Lee, SuKyoung Lee, Kyungsoo Kim, Yoon Hyuk Kim

“…Recently, attempts have been made to apply evolutionary algorithms (EAs) to the field of radio network planning, since they are characterized as global optimization methods. Yet, EA performance often deteriorates rapidly with the growth of search space dimensionality. …”
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Vehicle Motion Sickness Profiling Through Interpretable Gradient Boosting: A Framework for Advanced Driver Assistance Systems by Jon Ander Ruiz Colmenares, Estibaliz Asua

“…The proposed approach leverages both classical and modern algorithms, with CatBoost emerging as the top-performing model after optimization. To address the interpretability of these models, SHAP methods are employed to extract actionable insights, revealing key factors contributing to motion sickness. …”
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Wooden breast myopathy is characterized by satellite cell dysfunction and syndecan-4 shedding by Lucie Pejšková, Addolorata Pisconti, Marianne Lunde, Ka Yi Ho, Nina Therese Solberg, Shiori Koga, Erik Tengstrand, Cathrine Rein Carlson, Mona Elisabeth Pedersen, Sissel Beate Rønning

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Advanced Battery Management for Electric Vehicles: Charge Monitoring and Fire Security by Romaisa Shamshad Khan, Abdul Aziz, Rehan Babar, Kashif Abbas, Nusri Elahi, Muhammad Abdullah Abdullah

“…The study also presents an outline of countermeasures that can reduce the liability of battery fires, including the optimization of heat dissipation systems, sensors for detecting the onset of fire, and fire extinguishing systems. …”
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