Estimation of long-term gridded cloud radiative kernel and radiative effects based on cloud fraction by X. Liu, T. He, Q. Wang, X. Xiao, Y. Ma, Y. Wang, S. Luo, L. Du, Z. Wu, Z. Wu

“…This paper introduces a novel approach that enhances the accuracy of CRE estimation by constructing computationally efficient, long-term gridded surface cloud fraction radiative kernels (GCF-CRKs) and integrating refined DSSR estimates and a high-precision cloud fraction (CF). …”
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Social Networks Link Prediction Based on Incremental Learning by Jian SHU, Zhichen CHEN

“…The experiments encompass several aspects, including comparative analysis, validation of effectiveness, assessment of the impact of the temporal random walk strategy, and evaluation of the effect of different incremental granularities on IL−SNLP. …”
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KMBARC registry: protocol for a multicentre observational cohort study on non-cystic fibrosis bronchiectasis in Korea by Yun Su Sim, Hyun Lee, Hayoung Choi, Shinhee Park, Woo Jin Kim, Kwang Ha Yoo, Seung Jun Lee, Tae-Hyung Kim, Bumhee Yang, Ina Jeong, Soo-Jung Um, Deog Kyeom Kim, Ji-Hyun Lee, Byoung Soo Kwon, Young-Jae Cho, Hye Yun Park, Chin Kook Rhee, Sang Haak Lee, Ju Ock Na, An-Soo Jang, Ji Ye Jung, Seung Won Ra, Ji-Ho Lee, Sang-Ha Kim, Changhwan Kim, Youlim Kim, Chang Youl Lee, Hyun Kuk Kim, Jae Seung Lee, Sei Won Lee, Yeon-Mok Oh

“…Introduction Despite the significant disease burden of bronchiectasis in Korea, no large-scale, representative prospective cohort studies have been conducted to evaluate the clinical characteristics of Korean patients with bronchiectasis, indicating an urgent need for cohort studies on bronchiectasis.Methods and analysis The Korean Multicenter Bronchiectasis Audit and Research Collaboration (KMBARC) is a prospective, non-interventional observational cohort study on bronchiectasis in Korea. …”
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Remote work – the new normal needs more research by Annina Ropponen

“…Developing register-based measures for assessment of working time patterns for epidemiologic studies. …”
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Identification and characterization of short-chain dehydrogenase/reductase 3 (DHRS3) deficiency, a retinoic acid embryopathy of humans by Akiko Soneda Hashimoto, Jianshi Yu, Christina Williams, Karin Gaudenz, Parisa Varshosaz, Ruonan Zhao, Nageswara Pilli, Tian Liu, Jonathon Russell, Rebecca S. Tooze, Stephen R.F. Twigg, Siddharth Banka, Elizabeth Sweeney, Simon J. McGowan, Samantha J.L. Knight, Jenny C. Taylor, Tawfiq Jamal Froukh, M. Irene Valenzuela Palafoll, Núria Martínez-Gil, Mar Costa-Roger, Maria Teresa Villarreal-Molina, Esther Lieberman Hernandez, Rami Abou Jamra, Felix Gattermann, Margarete Koch-Hogrebe, Dagmar Wieczorek, Paul A. Trainor, Alexander R. Moise, Andrew O.M. Wilkie, Maureen A. Kane

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CRAFTS for H i Cosmology. I. Data Processing Pipeline and Validation Tests by Wenxiu Yang, Laura Wolz, Yichao Li, Wenkai Hu, Steven Cunnington, Keith Grainge, Furen Deng, Shifan Zuo, Shuanghao Shu, Xinyang Zhao, Di Li, Zheng Zheng, Marko Krčo, Yinghui Zheng, Linjing Feng, Pei Zuo, Hao Chen, Xue-Jian Jiang, Chen Wang, Pei Wang, Chen-Chen Miao, Yougang Wang, Xuelei Chen

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Thymic characteristics in patients with autoimmune diseases: a multicentre radiological observational studyResearch in context by Haoxiao Chang, Junqiang Yan, Anxin Wang, Ningning Wang, Peng Liu, Yemin Shi, Xin Zhao, Jinqiao Zhu, Yuan Cai, Xue Xia, Yunyi Hao, Shiyi Yin, Jing Wang, Xinli Wang, Lina Sun, Jia Ma, Xiaoyu Huang, Haonan Guan, De-Cai Tian, Kaibin Shi, Ganqin Du, Wenhao Huang, Guoyan Qi, Hao Li, Yongjun Wang, Fu-Dong Shi, Zhang Zhang, Wei-Na Jin

“…A semi-automatic algorithm was developed and employed for the analysis of thymic radiological characteristics, encompassing structural features and density. …”
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The age-adjusted Charlson comorbidity index in acetabular fracture in geriatric acetabular fractures by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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[Artículo traducido] El índice de comorbilidad de Charlson ajustado por la edad en las fracturas acetabulares de los pacientes ancianos by J.M. Bogallo, C. Castillejo, A. Ramirez, J.R. Cano, F. Rivas-Ruiz, E. Guerado

“…Conclusion: Presurgical ACCI and CFS scales may serve as a risk assessment method in treatment decision-making for patients with acetabular fracture. …”
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Global Carbon Budget 2024 by P. Friedlingstein, P. Friedlingstein, M. O'Sullivan, M. W. Jones, R. M. Andrew, J. Hauck, J. Hauck, P. Landschützer, C. Le Quéré, H. Li, H. Li, I. T. Luijkx, A. Olsen, A. Olsen, G. P. Peters, W. Peters, W. Peters, J. Pongratz, J. Pongratz, C. Schwingshackl, S. Sitch, J. G. Canadell, P. Ciais, R. B. Jackson, R. B. Jackson, S. R. Alin, A. Arneth, V. Arora, N. R. Bates, M. Becker, M. Becker, N. Bellouin, C. F. Berghoff, H. C. Bittig, L. Bopp, P. Cadule, K. Campbell, M. A. Chamberlain, N. Chandra, F. Chevallier, L. P. Chini, T. Colligan, J. Decayeux, L. M. Djeutchouang, L. M. Djeutchouang, X. Dou, C. Duran Rojas, K. Enyo, W. Evans, A. R. Fay, R. A. Feely, D. J. Ford, A. Foster, T. Gasser, M. Gehlen, T. Gkritzalis, G. Grassi, L. Gregor, N. Gruber, Ö. Gürses, I. Harris, M. Hefner, M. Hefner, J. Heinke, G. C. Hurtt, Y. Iida, T. Ilyina, T. Ilyina, T. Ilyina, A. R. Jacobson, A. R. Jacobson, A. K. Jain, T. Jarníková, A. Jersild, F. Jiang, Z. Jin, Z. Jin, E. Kato, R. F. Keeling, K. Klein Goldewijk, J. Knauer, J. Knauer, J. I. Korsbakken, X. Lan, X. Lan, S. K. Lauvset, S. K. Lauvset, N. Lefèvre, Z. Liu, J. Liu, J. Liu, L. Ma, S. Maksyutov, G. Marland, G. Marland, N. Mayot, P. C. McGuire, N. Metzl, N. M. Monacci, E. J. Morgan, S.-I. Nakaoka, C. Neill, Y. Niwa, T. Nützel, L. Olivier, L. Olivier, T. Ono, P. I. Palmer, P. I. Palmer, D. Pierrot, Z. Qin, L. Resplandy, L. Resplandy, A. Roobaert, T. M. Rosan, C. Rödenbeck, J. Schwinger, J. Schwinger, T. L. Smallman, T. L. Smallman, S. M. Smith, R. Sospedra-Alfonso, T. Steinhoff, T. Steinhoff, Q. Sun, A. J. Sutton, R. Séférian, S. Takao, H. Tatebe, H. Tatebe, H. Tian, B. Tilbrook, B. Tilbrook, O. Torres, E. Tourigny, H. Tsujino, F. Tubiello, G. van der Werf, R. Wanninkhof, X. Wang, D. Yang, X. Yang, Z. Yu, W. Yuan, X. Yue, S. Zaehle, N. Zeng, N. Zeng, J. Zeng

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Lessons learned from the co-development of operational climate forecast services for vineyards management by N. Pérez-Zanón, V. Agudetse, E. Baulenas, P.A. Bretonnière, C. Delgado-Torres, N. González-Reviriego, A. Manrique-Suñén, A. Nicodemou, M. Olid, Ll. Palma, M. Terrado, B. Basile, F. Carteni, A. Dente, C. Ezquerra, F. Oldani, M. Otero, F. Santos-Alves, M. Torres, J. Valente, A. Soret

“…The probabilities of extremes, i.e. exceeding (non-exceeding) the percentile 90th (10th), are displayed as extra bars for each week and month in case the prediction is skilful and they are greater than 40%.Last but not least, the results of the skill assessment are shown. This skill assessment consists of calculating a metric for each location, initialisation date and forecast time. …”
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The NANOGrav 15 Yr Data Set: Removing Pulsars One by One from the Pulsar Timing Array by Gabriella Agazie, Akash Anumarlapudi, Anne M. Archibald, Zaven Arzoumanian, Jeremy G. Baier, Paul T. Baker, Bence Bécsy, Laura Blecha, Adam Brazier, Paul R. Brook, Sarah Burke-Spolaor, J. Andrew Casey-Clyde, Maria Charisi, Shami Chatterjee, Tyler Cohen, James M. Cordes, Neil J. Cornish, Fronefield Crawford, H. Thankful Cromartie, Kathryn Crowter, Megan E. DeCesar, Paul B. Demorest, Heling Deng, Lankeswar Dey, Timothy Dolch, Elizabeth C. Ferrara, William Fiore, Emmanuel Fonseca, Gabriel E. Freedman, Emiko C. Gardiner, Nate Garver-Daniels, Peter A. Gentile, Kyle A. Gersbach, Joseph Glaser, Deborah C. Good, Lydia Guertin, Kayhan Gültekin, Jeffrey S. Hazboun, Ross J. Jennings, Aaron D. Johnson, Megan L. Jones, Andrew R. Kaiser, David L. Kaplan, Luke Zoltan Kelley, Matthew Kerr, Joey S. Key, Nima Laal, Michael T. Lam, William G. Lamb, Bjorn Larsen, T. Joseph W. Lazio, Natalia Lewandowska, Tingting Liu, Duncan R. Lorimer, Jing Luo, Ryan S. Lynch, Chung-Pei Ma, Dustin R. Madison, Alexander McEwen, James W. McKee, Maura A. McLaughlin, Natasha McMann, Bradley W. Meyers, Patrick M. Meyers, Hannah Middleton, Chiara M. F. Mingarelli, Andrea Mitridate, Christopher J. Moore, Cherry Ng, David J. Nice, Stella Koch Ocker, Ken D. Olum, Timothy T. Pennucci, Benetge B. P. Perera, Nihan S. Pol, Henri A. Radovan, Scott M. Ransom, Paul S. Ray, Joseph D. Romano, Jessie C. Runnoe, Alexander Saffer, Shashwat C. Sardesai, Ann Schmiedekamp, Carl Schmiedekamp, Kai Schmitz, Brent J. Shapiro-Albert, Xavier Siemens, Joseph Simon, Magdalena S. Siwek, Sophia V. Sosa Fiscella, Ingrid H. Stairs, Daniel R. Stinebring, Kevin Stovall, Abhimanyu Susobhanan, Joseph K. Swiggum, Stephen R. Taylor, Jacob E. Turner, Caner Unal, Michele Vallisneri, Alberto Vecchio, Sarah J. Vigeland, Haley M. Wahl, Caitlin A. Witt, David Wright, Olivia Young

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THE ETHICAL STARTUP? by Alexis Walker

“…   [17] Muhammad Naveed et al., “Privacy in the Genomic Era,” ACM Computing Surveys 48 (2015): 1-44. doi.org/10.1145/2767007…”
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Flow-based Text Style Transfer Model by Zihan ZHANG, Jinqiao DAI, Pin YANG

“…Flows employing affine coupling or autoregressive transformations provide accurate density assessment and sampling. The model comprises a conditional encoder, a series of invertible flows, a style discriminator, and two conditional decoders. …”
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