Real world prevalence of pelvic lymph node involvement in prostate cancer in Asia: do we need a rethink on normograms? by Rachel Lau, Han Jie Lee, Khi Yung Fong, Alvin Yuanming Lee, Yu Guang Tan, Yan Mee Law, Nye Thane Ngo, Jeffrey Tuan, Kae Jack Tay, Lui Shiong Lee, Christopher Cheng, Henry Ho, John Yuen, Kenneth Chen

“…The Briganti 2019 nomogram score was retrospectively calculated for each patient, and post-operative data was analyzed to determine rates of LNI in order to determine the performance of the nomogram in our cohort.Results437 patients were included, with a median Briganti score of 11.2% (IQR 3.9–28.5%). …”
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Unraveling key transposable elements in pathogen-induced bovine mastitis through comparative in vivo and in vitro transcriptomic analysis by Songyan An, Siyuan Mi, Siqian Chen, Yongjie Tang, Yue Xing, Yi Jing, Ying Yu

“…By integrating in vitro and in vivo data, we identified and further validated two TE instances from MER53/DNA transposon and MIRc/SINE families as stably activated and repressed transcriptional markers for S. aureus mastitis, respectively. …”
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Connotation, research status, and development directions of clean coal geology in China by Yuegang TANG, Shaoqing WANG, Xiaoshuai WANG, Xin GUO, Yafeng WANG, Liping XUE, Harold H. Schobert

“…[Issues and Prospects] This study proposes some scientific and technical problems concerning coal formation, organic/inorganic elements, minerals, and clean assessment, positing that future advancements in chemistry, physics, biology, and big data/artificial intelligence (AI) will bring opportunities for the further development of clean coal geology and its applications in large-scale engineering. …”
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The Relationship Between Body Mass Index and Recurrence Risk of Stroke: A Systematic Review and Dose–Response Meta‑Analysis by Qiuxia Qian, Yuting Zhao, Xin Fan, Jialu Li, Jianxun Cao, Mengyu Yang, Longchun Hua, Xingxia Zhang, Ailing Yang, Fengwa Zhang, Yuxia Ma

“…Clinical Trial Registration Not applicable.…”
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Postoperative outcome analysis of chronic rhinosinusitis using transfer learning with pre-trained foundation models based on endoscopic images: a multicenter, observational study by Wentao Gong, Keguang Chen, Xiao Chen, Xueli Liu, Zhen Li, Li Wang, Yuxuan Shi, Quan Liu, Xicai Sun, Xinsheng Huang, Xu Luo, Hongmeng Yu

“…Conclusion The transfer learning algorithm model based on pre-trained foundation models can provide accurate and reproducible analysis of postoperative outcomes in CRS, effectively addressing the issue of high subjectivity in postoperative evaluation. With limited data, our model can achieve better generalization performance compared to traditional algorithms.…”
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Exploring methylation signatures for high de novo recurrence risk in hepatocellular carcinoma by Da-Won Kim, Jin Hyun Park, Suk Kyun Hong, Min-Hyeok Jung, Ji-One Pyeon, Jin-Young Lee, Kyung-Suk Suh, Nam-Joon Yi, YoungRok Choi, Kwang-Woong Lee, Young-Joon Kim

“…Methods In this retrospective cohort study, we analyzed data from HCC patients who underwent surgical resection in Korea, excluding those with recurrence within one year post-surgery. …”
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Consumer knowledge of and engagement with traditional takeaway and dark kitchen food outlets [version 2; peer review: 2 approved] by Simon Bowles, Rachel Rundle, Jordan D. Beaumont, David Harness, Helen Martin, Lucie Nield, Jo Pearce, Claire Wall

“…Methods Healthy adults living in the United Kingdom completed an online survey comprising of questions measuring demographics, engagement with takeaways and dark kitchens, purchasing behaviours and decision making, and knowledge and understanding around dark kitchens. Data were analysed using descriptive statistics. …”
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Resilience in the shadows of loss: a hermeneutic phenomenological study of neonatal intensive care nurses’ coping after infant loss in Saudi Arabia by Nadia Bassuoni Elsharkawy, Osama Mohamed Elsayed Ramadan, Alaa Hussain Hafiz, Nouran Essam Katooa, Areej Abunar, Dena Marwan A. Attallah, Mashael Dewan, Majed Mowanes Alruwaili, Abeer Nuwayfi Alruwaili, Enas Mahrous Abdelaziz, Arab Qassim Alkhadam, Marwa Mohamed Ouda

“…Clinical trial number Not Applicable.…”
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Arterial liver supply in aspect of right lobe living donor liver transplantation: anatomical variants and reconstruction by S. E. Voskanyan, I. Yu. Kolyshev, A. N. Bashkov, A. I. Artemyev, V. S. Rudakov, M. V. Shabalin, M. V. Popov, A. I. Sushkov, G. V. Vohmyanin

“…To describe new and extend contemporary data on anatomical variations of the arterial blood flow in a donor of the right liver lobe.Material and methods. …”
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Dynamic handgrip exercise for the detection of myocardial ischemia using fast Strain-ENCoded cardiovascular magnetic resonance by Andreas Ochs, Michael Nippes, Janek Salatzki, Lukas D. Weberling, Nael Osman, Johannes Riffel, Hugo A. Katus, Matthias G. Friedrich, Norbert Frey, Marco M. Ochs, Florian André

“…ABSTRACT: Background: Previous data suggest dynamic handgrip exercise (DHE) as a potential physiological, needle-free stressor feasible for cardiovascular magnetic resonance (CMR) examinations. …”
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Optimizing glycemic control in type 2 diabetes: the impact of the GLIDE program’s personalized digital health intervention by Anand Ambesange, Amit Lala Khomane, Jaymin Parikh, Devina Aswal, Mihir Gharia, Prachi Sharma, Vishva Trivedi, Twinkle Maheshwari, Astha Mishra, Bhavan Bhavsar, Vrushali Athavale

“…BackgroundThe integration of digital health applications into type 2 diabetes mellitus (T2DM) management presents promising opportunities for optimizing glycemic control, enhancing adherence, and improving health outcomes. …”
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Increasing myopic refraction reduces random dot stereopsis in Chinese myopic patients: a cross-sectional study by Xin Xiao, Xiyang Yang, Yan Luo, Lili Li, Enwei Lin, Min Kong, Qi Chen, Jin Zeng, Li Yan, Wuqiang Luo

“…Clinical trial number Not applicable.…”
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Psychometric properties of the Chinese version of the Quiet Quitting Scale by Duo Zhang, Haoyang Zheng, Ying Zeng, Xiaoyan Yu, Ya Zhao, Yong Gan, Xichen Chai, Wencan Cheng, Zelin Chen, Yanrong Zhou

“…Future research should assess the scale’s applicability across various healthcare settings and its long-term impact.…”
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Public perceptions and influencing factors of seasonal influenza vaccine uptake in Makkah region, Saudi Arabia: a cross-sectional study by Mohammed S. Alharthi, Abdullah A. Alshehri, Fahad H. Baali, Nawaf Awd Altuwairqi, Meshari Hassan Altalhi, Rayan Azib Almalki, Meshal Khalid Aljuaid, Majed A. Algarni, Mohmmed S. Alzahrani, Nasser M. Alorfi, Wadia S. Alruqayb

“…A snowball sampling method was applied. Data were collected via Google Forms and analyzed using SPSS version 26, employing descriptive statistics such as frequencies, percentages, and means.ResultsThe total number of respondents is 450 participants, with a response rate of 4.5%. …”
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A novel phosphocholine‐mimetic inhibits a pro‐inflammatory conformational change in C‐reactive protein by Johannes Zeller, Karen S Cheung Tung Shing, Tracy L Nero, James D McFadyen, Guy Krippner, Balázs Bogner, Sheena Kreuzaler, Jurij Kiefer, Verena K Horner, David Braig, Habiba Danish, Sara Baratchi, Mark Fricke, Xiaowei Wang, Michel G Kather, Bernd Kammerer, Kevin J Woollard, Prerna Sharma, Craig J Morton, Geoffrey Pietersz, Michael W Parker, Karlheinz Peter, Steffen U Eisenhardt

“…We provide in vitro and in vivo proof‐of‐concept data demonstrating that the low molecular weight tool compound inhibits CRP‐driven exacerbation of local inflammatory responses, while potentially preserving pathogen‐defense functions of CRP. …”
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Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale by Minghan Cheng, Xiuliang Jin, Chenwei Nie, Kaihua Liu, Tianao Wu, Yuping Lv, Shuaibing Liu, Xun Yu, Yi Bai, Yadong Liu, Lin Meng, Xiao Jia, Yuan Liu, Lili Zhou, Fei Nan

“…However, most previous studies have relied on remote sensing data from one or a few periods for yield estimation, thus lacking a comprehensive description of entire crop growth. …”
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Nonequilibrium molecular dynamics study on thermal conductivity of spinel AB2O4 by Jiaqi Liang, Jiaxi Liu, Yifan Jing, Huicheng Yang, Shengmin Zhou, Yongpeng Xia, Fen Xu, Lixian Sun, Pengru Huang

“…Employ machine learning to fit DFT calculation data to obtain interatomic potential functions for molecular dynamics simulations. …”
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Prediction of recurrence after surgery for pituitary adenoma using machine learning- based models: systematic review and meta-analysis by Ibrahim Mohammadzadeh, Bardia Hajikarimloo, Behnaz Niroomand, Nasira Faizi, Pooya Eini, Mohammad Amin Habibi, Alireza Mohseni, Mohammadmahdi Sabahi, Abdulrahman Albakr, Michael Karsy, Hamid Borghei-Razavi

“…However, the lack of external validation and the complexity of input data pose challenges, highlighting the need for rigorous validation with multi-center datasets and standardized imaging techniques to enhance clinical applicability.…”
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Next-generation diagnostics of bloodstream infections enabled by rapid whole-genome sequencing of bacterial cells purified from blood culturesResearch in context by Vincenzo Di Pilato, Chiara Bonaiuto, Fabio Morecchiato, Alberto Antonelli, Tommaso Giani, Gian Maria Rossolini

“…Interpretation: In this proof-of-concept study, we proved that diagnosis of BSI can be significantly shortened using an optimised workflow based on real-time sequencing, providing rapid, actionable clinical microbiological data in support of timely selection of appropriate chemotherapy. …”
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Dual-species proteomics and targeted intervention of animal-pathogen interactions by Yang Sylvia Liu, Chengqian Zhang, Bee Luan Khoo, Piliang Hao, Song Lin Chua

“…Current proteomics techniques reveal information from the point of view of either the host or microbe, but do not provide data on the corresponding partner. Moreover, it remains challenging to simultaneously study host-microbe proteomes that reflect the direct competition between host and microbe. …”
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