Stroke aftercare in Germany: findings from an online survey in the outpatient setting of a neurovascular network by John-Ih Lee, Robin Jansen, Jan F. Cornelius, Hubert Schelzig, Bernd Turowski, Rüdiger J. Seitz, Til Menge, Philipp Albrecht, Philipp Albrecht, Sebastian Jander, Jan Sobesky, Hans-Jürgen von Giesen, Marcel Dihné, Lars Wojtecki, Lars Wojtecki, Tristan Kölsche, Sajjad Muhammad, Tobias Ruck, Sven G. Meuth, Michael Gliem

“…The evidence-based acute treatment of stroke patients in Germany is carried out according to standardized algorithms in more than 300 certified stroke units, and its quality is repeatedly assured by the German Stroke Society (DSG) and others. …”
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Identification and validation of TUBB, CLTA, and FBXL5 as potential diagnostic markers of postmenopausal osteoporosis by Yue Tan, Yujing Wang, Qin Zhu, Yan Xue, Xuhao Ji, Zhenkun Li, Jiawen Shen, Chengming Sun, Shiqi Ren, Chenlin Zhang, Jianfeng Chen

“…The findings contribute to understanding the underlying molecular mechanisms of CLTA, TUBB, and FBXL5 in PMOP and may facilitate the development of novel therapeutic strategies and improved monitoring of the disease. …”
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Unveiling the role of TGF-β signaling pathway in breast cancer prognosis and immunotherapy by Yifan Zheng, Yifan Zheng, Li Li, Wenqian Cai, Lin Li, Rongxin Zhang, Wenbin Huang, Wenbin Huang, Yulun Cao

“…To assess patient risk, we used 101 machine learning algorithms to develop an optimal TGF-β pathway-related prognostic signature (TSPRS). …”
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Pharmacological potential of 6,11-dihydro[1,2,4]triazolo[4’,3’:1,6]-pyrido[3,4-b]-5-carboxylic acid and its esters by S. O. Fedotov, A. S. Hotsulia

“…The combination of the indole fragment, which demonstrates activity due to its aromatic structure, with the 1,2,4-triazole nucleus, which is characterised by chemical stability and the ability to form hydrogen bonds, creates a promising basis for the development of new therapeutic agents with improved properties. The active implementation of various modifications of indole and 1,2,4-triazole frameworks is aimed at optimizing the pharmacokinetic and pharmacodynamic characteristics of medicinal products. …”
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Early Detection of Oncological Diseases of the Digestive System (Guidelines of the Russian Gastroenterological Association and the Russian Association of Oncologists for Primary Ca... by V. T. Ivashkin, I. V. Mayev, A. D. Kaprin, M. Yu. Agapov, D. N. Andreev, A. S. Vodoleev, M. Yu. Zharkova, M. P. Korolev, Yu. A. Kucheryavyi, T. L. Lapina, M. V. Mayevskaya, A. V. Okhlobystin, Ch. S. Pavlov, A. V. Paraskevova, S. S. Pirogov, E. A. Poluektova, D. E. Rumyantseva, A. S. Trukhmanov, P. V. Tsarkov, A. A. Sheptulin, O. S. Shifrin

“…The present guidelines intended for primary care physicians are aimed at facilitating early diagnosis of malignant tumours of the digestive system, which can significantly improve the immediate and long-term results of their treatment.General provisions. …”
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Proton Therapy for Uveal Melanoma on a Pencil Beam Scanning Gantry by Hang Qi, PhD, Lei Hu, PhD, Sheng Huang, PhD, Yen-Po Lee, MS, Qing Chen, MS, Francis Yu, MS, Huifang Zhai, MS, Yunjie Yang, PhD, Minglei Kang, PhD, Peter Park, CMD, Andy Shim, CMD, Xiaoxuan Xu, PhD, David H. Abramson, MD, Jasmine H. Francis, MD, Arpit Chhabra, MD, Charles B. Simone, II, MD, Christopher A. Barker, MD, Haibo Lin, PhD

“…Each plan was forward calculated with a beam-specific brass aperture (BSA) using a Monte Carlo algorithm to explore dosimetric improvements. We compared the plan quality to the delivered plan (DP) using target coverage (D95%) and mean/maximum doses to the adjacent organs. …”
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Identification of novel molecular subtypes and construction of a prognostic signature via multi-omics analysis and machine learning in lung adenocarcinoma by Ke Ma, Jie Xu, Jie Xu, Congyue Wang, Congyue Wang, Xu Cao, Xu Cao, Wenjie Yu, Jingjing Xi, Xuan Zhang, Jiamin Zhan, Yang Liu, Aoyang Yu, Aoyang Yu, Shuhan Liu, Yanhua Liu, Yanhua Liu, Chong Chen, Chong Chen, Xiaoli Mai, Xiaoli Mai

“…IntroductionThe development of high-throughput sequencing technologies and targeted therapeutic strategies has significantly improved the prognosis of lung adenocarcinoma (LUAD) patients with sensitive gene mutations. …”
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Optimizing wind energy conversion system efficiency using advanced modified super-twisting direct power control: Real-time implementation on dSPACE 1104 board by Mourad Yessef, Habib Benbouhenni, Ahmed Lagrioui, Youness El Mourabit, Nicu Bizon, Ilhami Colak, Badre Bossoufi, Ayman Alhejji

“…This proposed strategy was used in this research project to improve the quality of the supplied energy and reduce the value obtained for the various total harmonic distortion of the Fast Fourier Transform analysis of the supplied system currents and minimizing generated power overshoot. …”
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Clinical-radiomics hybrid modeling outperforms conventional models: machine learning enhances stratification of adverse prognostic features in prostate cancer by Minghan Jiang, Minghan Jiang, Zeyang Miao, Run Xu, Mengyao Guo, Xuefeng Li, Guanwu Li, Peng Luo, Su Hu, Su Hu

“…LASSO regression selected optimal features, followed by model construction via five algorithms (logistic regression, decision tree, random forest, SVM, AdaBoost). …”
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Global digital elevation model (GDEM) product generation by correcting ASTER GDEM elevation with ICESat-2 altimeter data by B. Li, B. Li, B. Li, B. Li, H. Xie, H. Xie, S. Liu, Z. Ye, Z. Hong, Q. Weng, Q. Weng, Q. Weng, Y. Sun, Q. Xu, X. Tong

“…By cross-validating qualities, filling data gaps, and conducting multi-scale analyses, it can lead to more reliable and comprehensive scientific discoveries, thereby improving the overall quality and reliability of Earth science research. …”
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Suspicion and referral of patients with transthyretin amyloid cardiomyopathy: Recommendations by a Portuguese multidisciplinary expert panel by Dulce Brito, João Agostinho, Carlos Aguiar, Sílvia Aguiar Rosa, Nuno Cardim, Cândida Fonseca, Nuno Marques, Pedro Moraes Sarmento, Patrícia Rodrigues, Jonathan Santos, Maria João Vidigal Ferreira, Olga Azevedo

“…To ensure timely diagnosis, a multidisciplinary panel of Portuguese experts, including cardiologists, internal medicine specialists, and general practitioners, have developed a national consensus to aid physicians in enhancing the referral of patients with suspicion of ATTR-CM in Portugal.A structured approach was used to develop the consensus: (1) an online survey aimed at identifying clinical red flags, patient journeys, and diagnostic tools related to ATTR-CM; (2) a face-to-face roundtable meeting where the survey findings were discussed and a consensus was reached on referral and diagnostic algorithms for ATTR-CM in Portugal; and (3) critical review of the proposed algorithms.The referral and diagnostic algorithms for ATTR-CM in Portugal were developed considering current recommendations, but also the existence of a nationwide network of specialized cardiomyopathy clinics and national reference centers for familial amyloid polyneuropathy due to the endemic p.V50M variant.This collaborative effort aims to enhance awareness, facilitate timely referrals and improve early diagnosis, ultimately ensuring better management of ATTR-CM patients in Portugal. …”
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Machine Learning-Based Summer Crops Mapping Using Sentinel-1 and Sentinel-2 Images by Saeideh Maleki, Nicolas Baghdadi, Hassan Bazzi, Cassio Fraga Dantas, Dino Ienco, Yasser Nasrallah, Sami Najem

“…The InceptionTime classifier further improved classification accuracy over XGBoost for all crops, with the degree of improvement varying by crop and dataset (the highest mean F1 scores of 90.6% for sunflower, 86.0% for soybean, and 93.5% for maize).…”
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Developing Machine-Learning Models to Predict Bacteremia in Febrile Adults Presenting to the Emergency Department: A Retrospective Cohort Study from a Large Center by Chia-Ming Fu, Ike Ngo, Pak Sheung Lau, Yaroslav Ivanchuk, Fan-Ya Chou, Chih-Hung Wang, Chien-Yu Lin, Chu-Lin Tsai, Shey-Ying Chen, Tsung-Chien Lu, Hung-Yu Wei

“…It has the potential to improve care quality and save more lives if successfully implemented in the ED.…”
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3D‐Printed Titanium Trabecular Scaffolds with Sustained Release of Hypoxia‐Induced Exosomes for Dual‐Mimetic Bone Regeneration by Lincong Luo, Weihan Zheng, Jiaying Li, Tingting Chen, Wanting Xue, Tao Lin, Mingrui Liu, Zi Yan, Jiaxin Yang, Jiamin Li, Jiahao Pu, Yaobin Wu, Konghe Hu, Shiyu Li, Wenhua Huang

“…In vivo, BTPS&pDA@PGHExo improved bone volume, density, and neovascularization in a rabbit model. …”
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Urban heat island classification through alternative normalized difference vegetation index by N. Chanpichaigosol, C. Chaichana, D. Rinchumphu

“…The results of this research provide information on important variables that affect the changes in the urban heat islands, focusing on changes in vegetation, which can be a part of decision-making to improve urban planning in the future.CONCLUSION: The study demonstrates the influence of normalized difference vegetation index on urban heat island classification and its potential in urban planning strategies. …”
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Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study by Zhen Lu, Binhua Dong, Hongning Cai, Tian Tian, Junfeng Wang, Leiwen Fu, Bingyi Wang, Weijie Zhang, Shaomei Lin, Xunyuan Tuo, Juntao Wang, Tianjie Yang, Xinxin Huang, Zheng Zheng, Huifeng Xue, Shuxia Xu, Siyang Liu, Pengming Sun, Huachun Zou

“…Personalized, data-driven cervical cancer prevention (CCP) strategies tailored to phenotypic profiles may improve prevention and reduce disease burden. …”
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Influencing factors of cross screening rate and its intelligent prediction model by Lala ZHAO, Feng XU, Chenlong DUAN, Chenhao GUO, Wei WANG, Haishen JIANG, Jinpeng QIAO

“…Based on linear regression (LR), support vector machine (SVM), decision tree (DT) and random forest (RF) algorithms, four intelligent prediction models of cross screening rate were established. …”
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Forecasting motion trajectories of elbow and knee joints during infant crawling based on long–short-term memory (LSTM) networks by Jieyi Mo, Qiliang Xiong, Ying Chen, Yuan Liu, Xiaoying Wu, Nong Xiao, Wensheng Hou

“…It experimentally explores how different input and output time-frames affect prediction accuracy and sets the stage for future research focused on optimizing models and developing effective control strategies to improve assistive crawling devices.…”
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Automated snow cover detection on mountain glaciers using spaceborne imagery and machine learning by R. Aberle, E. Enderlin, S. O'Neel, C. Florentine, L. Sass, A. Dickson, H.-P. Marshall, A. Flores

“…We develop the image classifiers by testing numerous machine learning algorithms with training and validation data from the U.S. …”
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Pathway-based cancer transcriptome deciphers a high-resolution intrinsic heterogeneity within bladder cancer classification by Zhan Wang, Zhaokai Zhou, Shuai Yang, Zhengrui Li, Run Shi, Ruizhi Wang, Kui Liu, Xiaojuan Tang, Qi Li

“…Targeted therapy against BEXO2 may improve the prognosis of BLCA patients by regulating mitochondria-related metabolic disorders.…”
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