Causes of growing middle-to-upper tropospheric ozone over the northwest Pacific region by X. Ma, X. Ma, J. Huang, J. Huang, M. I. Hegglin, M. I. Hegglin, P. Jöckel, T. Zhao

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Combined Age with Mean Decrease Rates of Total Bilirubin and MELD Score as a Novel and Simple Clinical Predictor on 90-Day Transplant-Free Mortality in Adult Patients with Acute Li... by Di Jin, Kai Kang, Bing-zhu Yan, Jian-nan Zhang, Jun-bo Zheng, Zhi-hui Wang, Di Wu, Yu-jia Tang, Xin-tong Wang, Qi-qi Lai, Yang Cao, Hong-liang Wang, Yang Gao

“…However, no existing models can provide a satisfactory performance for clinical prediction on 90-day transplant-free mortality in adult patients with ALF undergoing PE. …”
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Twenty years’ experience of midgut malrotation and volvulus in a tertiary center in northern Taiwan: A retrospective study by Wen-Yu Tseng, Ming-Wei Lai, Jin-Yao Lai, Chien-Chang Chen, Hsun-Chin Chao, Jeng-Chang Chen, Shih-Yen Chen, Yung-Ching Ming, Hung-Yu Yeh, Hung-Hsiang Lai, Sze-Ya Ting, Pai-Jui Yeh

“…An AST/Hb ratio of <3.78 demonstrated a high negative predictive value (98.6%) for an adverse outcome in midgut malrotation. …”
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Editorial by Christian Gütl

“…Song Yu, Bugao Jiang, Danni Zhang, and Zhifang Liao from China address in their research a cross-community question relevance prediction model, CCQRP, to predict the relevance of Stack Overflow questions and GitHub issues and recommend relevant GitHub issues. …”
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Identification and susceptibility assessment of landslide disasters in the red bed formation along the Nanjian-Jingdong Expressway by Yifan Cao, Zhifang Zhao, Mingchun Wen, Xin Zhao, Dingyi Zhou, Jingyi Qin, Liu Ouyang, Jingyao Cao

“…In combination with optical imagery data, a total of 521 landslide disaster points were identified. (2) In comparison to individual machine learning models, the Stacking demonstrated superior performance, with prediction capabilities and accuracy that surpassed other models. …”
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The Microlensing Event Rate and Optical Depth from MOA-II 9 Yr Survey Toward the Galactic Bulge by Kansuke Nunota, Takahiro Sumi, Naoki Koshimoto, Nicholas J. Rattenbury, Fumio Abe, Richard Barry, David P. Bennett, Aparna Bhattacharya, Akihiko Fukui, Ryusei Hamada, Shunya Hamada, Naoto Hamasaki, Yuki Hirao, Stela Ishitani Silva, Yoshitaka Itow, Yutaka Matsubara, Shota Miyazaki, Yasushi Muraki, Tsutsumi Nagai, Greg Olmschenk, Clement Ranc, Yuki K. Satoh, Daisuke Suzuki, Paul. J. Tristram, Aikaterini Vandorou, Hibiki Yama, (MOA collaboration)

“…We find our result is inconsistent with a prediction based on Galactic models, especially in the central region with ∣ b ∣ < 3°. …”
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Intelligence algorithm for the treatment of gastrointestinal diseases based on immune monitoring and neuroscience: A revolutionary tool for translational medicine by Liangyu Li, Xuewen Qin, Guangwei Wang, Siyi Li, Xudong Li, Lizhong Guo, Javier Santos, Ana María Gonzalez-Castro, Yanyang Tu, Yi Qin

“…The working mechanism of this model is to assign values to the parameters of the BP neural network by using the process of searching for the best fitness in multiple universes. This model can predict the five-year survival rate of patients based on immunohistochemical data. …”
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Comparison of autism domains across thirty rare variant genotypesResearch in context by Nabila M.H. Ali, Samuel J.R.A. Chawner, Leila Kushan-Wells, Carrie E. Bearden, Jennifer Gladys Mulle, Rebecca M. Pollak, Raquel E. Gur, Wendy K. Chung, Michael J. Owen, Marianne B.M. van den Bree, Harriet Housby, Irene Lee, David Skuse, Jeanne Wolstencroft, William Mandy, Spiros Denaxas, Kate Baker, Lucy Raymond, Marianne van den Bree, Samuel Chawner, Jeremy Hall, Peter Holmans, Josh Hope-Bell, Danielle Le Roux, Sally Morrin, Michael Owen, Shreeya Sivakumar

“…Further research is needed in order to understand these influences, improve risk prediction and inform genetic counselling and interventions. …”
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The prognostic value of the 8th American Joint Committee on cancer anatomic and prognostic stage groups for penile cancer: A multicenter collaboration study by Xueying Li, Yepeng Guo, Antonio Augusto Ornellas, Jiun-Hung Geng, Yonghong Li, Wayne Lam, Yabing Cao, Zhuowei Liu, Hui Han, Fangjian Zhou, Zaishang Li

“…The improved models, which are more concise and convenient, have similar prediction accuracy.…”
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Source attribution of human Campylobacter infection: a multi-country model in the European Union by Cecilie Thystrup, Maja Lykke Brinch, Clementine Henri, Lapo Mughini-Gras, Lapo Mughini-Gras, Eelco Franz, Kinga Wieczorek, Montserrat Gutierrez, Deirdre M. Prendergast, Geraldine Duffy, Catherine M. Burgess, Declan Bolton, Julio Alvarez, Julio Alvarez, Vicente Lopez-Chavarrias, Thomas Rosendal, Lurdes Clemente, Ana Amaro, Aldert L. Zomer, Katrine Grimstrup Joensen, Eva Møller Nielsen, Gaia Scavia, Magdalena Skarżyńska, Miguel Pinto, Mónica Oleastro, Wonhee Cha, Amandine Thépault, Katell Rivoal, Martine Denis, Marianne Chemaly, Tine Hald

“…The aim of this study was to predict the sources of human campylobacteriosis cases across multiple countries using available whole-genome sequencing (WGS) data and explore the impact of data availability and sample size distribution in a multi-country source attribution model.MethodsWe constructed a machine-learning model using k-mer frequency patterns as input data to predict human campylobacteriosis cases per source. …”
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Evaluation of Treatment Outcomes Using dNLR and GNRI in Combination Therapy With Atezolizumab and Bevacizumab for Hepatocellular Carcinoma by Atsushi Naganuma, Satoru Kakizaki, Atsushi Hiraoka, Toshifumi Tada, Takeshi Hatanaka, Kazuya Kariyama, Joji Tani, Masanori Atsukawa, Koichi Takaguchi, Ei Itobayashi, Shinya Fukunishi, Kunihiko Tsuji, Toru Ishikawa, Kazuto Tajiri, Hidenori Toyoda, Chikara Ogawa, Hiroki Nishikawa, Takashi Nishimura, Kazuhito Kawata, Hisashi Kosaka, Masashi Hirooka, Yutaka Yata, Hideko Ohama, Hidekatsu Kuroda, Tomomitsu Matono, Tomoko Aoki, Yuki Kanayama, Kazunari Tanaka, Fujimasa Tada, Kazuhiro Nouso, Asahiro Morishita, Akemi Tsutsui, Takuya Nagano, Norio Itokawa, Tomomi Okubo, Taeang Arai, Michitaka Imai, Shinichiro Nakamura, Hirayuki Enomoto, Masaki Kaibori, Yoichi Hiasa, Masatoshi Kudo, Takashi Kumada

“…ABSTRACT Aim This study aims to investigate the clinical utility of the derived neutrophil‐to‐lymphocyte ratio (dNLR) and the Geriatric Nutritional Risk Index (GNRI) in predicting treatment outcomes for patients with unresectable hepatocellular carcinoma (HCC) undergoing combination therapy with atezolizumab and bevacizumab (Atez/Bev). …”
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Bounding elastic photon-photon scattering at s≈1 MeV using a laser-plasma platform by R. Watt, B. Kettle, E. Gerstmayr, B. King, A. Alejo, S. Astbury, C. Baird, S. Bohlen, M. Campbell, C. Colgan, D. Dannheim, C. Gregory, H. Harsh, P. Hatfield, J. Hinojosa, D. Hollatz, Y. Katzir, J. Morton, C.D. Murphy, A. Nurnberg, J. Osterhoff, G. Pérez-Callejo, K. Põder, P.P. Rajeev, C. Roedel, F. Roeder, F.C. Salgado, G.M. Samarin, G. Sarri, A. Seidel, C. Spindloe, S. Steinke, M.J.V. Streeter, A.G.R. Thomas, C. Underwood, W. Wu, M. Zepf, S.J. Rose, S.P.D. Mangles

“…Although far from the QED prediction, this represents the lowest upper limit obtained so far for Image 5.…”
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AutoLDP: An accurate and efficient artificial intelligence-based tool for automatic labeling of digital pathology by Yingnan Zhao, Huifen Ye, Jing Yang, Su Yao, Maohua Lv, Zhihong Chen, Yunrui Ye, Qingru Hu, Cheng Lu, Zaiyi Liu, Ke Zhao, Zhihua Chen

“…Background: Whole-slide image (WSI) is foundational for artificial intelligence in tumor diagnosis, treatment planning, and prognosis prediction. Efficient management of WSI labels is crucial for clinical digitalization; however, manual or semiautomatic methods limit scalability. …”
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A practical distribution pattern of α-SMA-positive carcinoma associated fibroblasts indicates poor prognosis of patients with pancreatic ductal adenocarcinoma by Bo Li, Meilong Shi, Yang Wang, Penghao Li, Xiaoyi Yin, Guoxiao Zhang, Xiaochao Kang, Huan Wang, Suizhi Gao, Kailian Zheng, Xiaohan Shi, Xiongfei Xu, Yukun Zhou, Hui Jiang, Wei Jing, Shiwei Guo, Gang Jin

“…Purpose The present study aimed to clarify the distribution pattern of carcinoma associated fibroblasts (CAFs) across pancreatic ductal adenocarcinoma (PDAC) and its prognostic prediction value.Methods Data of two cohorts were retrospectively collected from consecutive patients who underwent primary pancreatic resection from January 2015 to December 2017. …”
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Triglyceride-glucose-body mass index and the incidence of cardiovascular diseases: a meta-analysis of cohort studies by Xiyun Rao, Ziyi Xin, Qingwen Yu, Lanlan Feng, Yongmin Shi, Ting Tang, Xuhan Tong, Siqi Hu, Yao You, Shenghui Zhang, Jiake Tang, Xingwei Zhang, Mingwei Wang, Ling Liu

“…Numerous cohort studies are needed to further validate and elucidate the pathologic role between Tyg-BMI and CVD and to determine whether it can be incorporated into CVD risk prediction tools to enhance predictive accuracy.…”
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Diagnostics of lung cancer by fragmentated blood circulating cell-free DNA based on machine learning methods by Ivan O. Meshkov, Alexander P. Koturgin, Pavel V. Ershov, Liubov A. Safonova, Julia A. Remizova, Valentina V. Maksyutina, Ekaterina D. Maralova, Vasilisa A. Astafieva, Alexey A. Ivashechkin, Boris D. Ignatiev, Antonida V. Makhotenko, Ekaterina A. Snigir, Valentin V. Makarov, Vladimir S. Yudin, Anton A. Keskinov, Sergey M. Yudin, Anna S. Makarova, Veronika I. Skvortsova

“…The blood plasma circulating cell-free DNA (cfDNA) fragments reflect the genome and chromatin status and are considered as integral cancer biomarkers and the biological entities for ‘cancer-of-origin’ prediction. The aim of this work is to create a method for processing next-generation sequencing (NGS) data and an interpretable binary classification model (CM), which analyzed cfDNA fragmentation features for distinguishing healthy subjects and subjects with LC.Methods148 healthy subjects and 138 subjects with LC were included in the study. cfDNA fractions, isolated from blood plasma biospecimens, were used for DNA libraries preparations and NGS on the NovaSeq 6,000 Illumina system with a coverage of 100 million reads/sample. …”
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GOSI9: UK Global Ocean and Sea Ice configurations by C. Guiavarc'h, D. Storkey, A. T. Blaker, E. Blockley, A. Megann, H. Hewitt, M. J. Bell, D. Calvert, D. Copsey, B. Sinha, S. Moreton, P. Mathiot, P. Mathiot, B. An

“…Following a seamless approach, it will be used for a variety of applications across a wide range of spatial and temporal resolutions: short-range coupled numerical weather prediction (NWP) forecasts, ocean forecasts, seasonal and decadal forecasts, and climate and Earth system modelling. …”
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AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection by Zhiyang Chen, Tingting Xie, Shuting Chen, Zhenhui Li, Su Yao, Xuanjun Lu, Wenfeng He, Chao Tang, Dacheng Yang, Shaohua Li, Feng Shi, Huan Lin, Zipei Li, Anant Madabhushi, Xiangtian Zhao, Zaiyi Liu, Cheng Lu

“…This system is a promising tool for advancing clinical immune microenvironment assessment and outcome prediction. Impact and implications:: CD8+ tumor-infiltrating lymphocytes (TILs) have been identified as a prognostic factor associated with many cancers. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…To develop and validate three diagnostic prediction models, and a prototype primary care clinical decision support tool. …”
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Connecting climate science and society: reflections from early and mid-career researchers at the World Climate Research Programme Open Science Conference 2023 by Leandro B. Díaz, Leandro B. Díaz, Leandro B. Díaz, Carla Gulizia, Carla Gulizia, Carla Gulizia, Shipra Jain, Shipra Jain, Gaby S. Langendijk, Hindumathi Palanisamy, Valentina Rabanal, Valentina Rabanal, Candice S. Charlton, Alima Dajuma, Felix K. Donkor, Temitope S. Egbebiyi, Temitope S. Egbebiyi, Ghafi Kondi Akara, Ghafi Kondi Akara, Amna Jrrar, Md Rezwan Siddiqui, Yassine Ait Brahim, Yassine Ait Brahim, Bapentire D. Angnuureng, Anna-Adriana Anschütz, Founi M. Awo, Founi M. Awo, Alejandro Builes-Jaramillo, Alison Cobb, Mohamadou A. Diallo, Mohamadou A. Diallo, Houda Er-Retby, Houda Er-Retby, Houda Er-Retby, Thierry C. Fotso-Nguemo, Benjamin Gwinneth, Masilin Gudoshava, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Franck E. Kemgang Ghomsi, Inés M. Leyba, Inés M. Leyba, Redouane Lguensat, Redouane Lguensat, Roché Mahon, Shailendra K. Mandal, Lucia Mumo, Meshel Muzuva, Meshel Muzuva, Rodric M. Nonki, Juan A. Rivera, Juan A. Rivera, Alcade C. Segnon, Alcade C. Segnon, Laouali I. Tanimoune, Erlich-Honest E. I. Zauisomue, Gilbert Siame

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