GENERAL PRINCIPLES OF TREATMENT FOR MUSCULOSKELETAL PAIN: INTERDISCIPLINARY CONSENSUS by E. L. Nasonov, N. N. Yakhno, A. E. Karateev, L. I. Alekseeva, A. N. Barinov, A. E. Barulin, O. S. Davydov, A. B. Danilov, M. V. Zhuravleva, B. V. Zavodovsky, S. S. Kopenkin, M. L. Kukishkin, V. A. Parfenov, M. A. Strakhov, V. P. Tyurin, N. V. Chichasova, S. A. Chorbinskaya

“…According to the results of the meeting, the authors identified the main points regarding the theoretical and practical aspects of MSP and also proposed an algorithm for the treatment of this pathology. It seems that the use of this algorithm will be able to facilitate the work of practitioners and to enhance the efficiency and safety of analgesic therapy.…”
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Surgical Hemostasis for Severe Multisystem Pelvic Injuries by I. V. Kazhanov, A. Y. Demko, V. A. Manukovsky, S. I. Mikityuk, V. A. Reva, E. A. Kolchanov, D. V. Pavlov

“…For the treatment of patients with severe multysistem pelvic trauma accompanied by pelvic bleeding, many algorithms have been proposed that have different procedures for the use of various methods of surgical hemostasis, but none of them may guarantee the complete arrest of pelvic bleeding. …”
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Cooperative control method for multi-agent ground fracturing truck group based on offline reinforcement learning by RuYi Wang, HuiShen Jiao, YingCheng Tian, Yi Zhao, SiQi Wang, Ke Zhang, Bo Huang, QinRui Sun, DanDan Zhu

“…The core of this method is an improved algorithm based on the TD3, which is enhanced by the incorporation of the CQL algorithm to improve the stability of the collaborative control strategy. …”
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Multi-Stream Transmission for Directional Modulation Network via Distributed Multi-UAV-Aided Multi-Active-IRS by Ke Yang, Rongen Dong, Wei Gao, Feng Shu, Weiping Shi, Yan Wang, Xuehui Wang, Jiangzhou Wang

“…Thus, a dramatic rate enhancement may be achieved by multiple distributed IRSs.…”
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Modified PISAPED Criteria in Combination with Ventilation Scintigraphic Finding for Predicting Acute Pulmonary Embolism by Naoyuki Watanabe, Jure Fettich, Nurie Küçük, Otakar Kraft, Fernando Mut, Partha Choudhury, Surendra Sharma, Keigo Endo, Maurizio Dondi

“…Perfusion scans used with ventilation scans and modified PISAPED criteria may increase the diagnostic accuracy of pulmonary scintigraphy for acute PE, compared with the two major algorithms.…”
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Two-Step Screening for Depression and Anxiety in Patients with Cancer: A Retrospective Validation Study Using Real-World Data by Bryan Gascon, Joel Elman, Alyssa Macedo, Yvonne Leung, Gary Rodin, Madeline Li

“…<b>Conclusions:</b> The present study is among the first to demonstrate that a two-step screening algorithm for depression may improve depression screening in cancer using real-world data. …”
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Selección del periodo para la minimización del hiperperiodo by Vicent Brocal, Patricia Balbastre

“…As the hyperperiod grows exponentially with the number of tasks and their periods, system analysis may become unaffordable if the hyperperiod exceeds reasonable bounds.A new algorithm, which allow us to calculate the minimum hyperperiod of such a set of tasks, is presented. …”
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A diagnostic model for polycystic ovary syndrome based on machine learning by Cheng Tong, Yue Wu, Zhenchao Zhuang, Ying Yu

“…The acquired data were screened for variables, a classification model based on a machine learning algorithm was constructed, and the constructed model was evaluated and validated for diagnostic efficacy. …”
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The Contribution of Meteosat Third Generation–Flexible Combined Imager (MTG-FCI) Observations to the Monitoring of Thermal Volcanic Activity: The Mount Etna (Italy) February–March... by Carolina Filizzola, Giuseppe Mazzeo, Francesco Marchese, Carla Pietrapertosa, Nicola Pergola

“…By analyzing changes in total SWIR radiance (TSR), calculated starting from hot pixels detected using the preliminary NHI algorithm configuration tailored to FCI data, we inferred information about variations in thermal volcanic activity. …”
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Compression rates of microbial genomes are associated with genome size and base composition by Jon Bohlin, John H.-O. Pettersson

“…Base composition determines the frequency of DNA words, consisting of multiple nucleotides or oligonucleotides, and may therefore also influence compressibility. Using 4,713 RefSeq genomes, we examined the association between compressibility, using both a DNA based- (MBGC) and a general purpose (ZPAQ) compression algorithm, and genome size, AT content as well as genomic oligonucleotide usage variance (OUV) using generalized additive models. …”
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SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction by Anima Naik, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…The evaluation was conducted solely on two benchmark datasets, which may not fully reflect the diversity and complexity of real-world clinical populations. …”
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Significance of LRFN4 in prognosis and tumor microenvironment of lung adenocarcinoma by Nana Wang, Shuming Cao, Xiaofeng Tan, Meirong Liu

“…The expressions of TCF3, E2F1, E2F3, and LRFN4 were correlated with the IC50 of multiple drugs.ConclusionLRFN4 may serve as a novel prognostic biomarker for LUAD, shows specific overexpression in LUAD and may be a potential therapeutic target for LUAD patients.…”
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Application of Fourier transform infrared spectroscopy to exhaled breath analysis for detecting helicobacter pylori infection by Meiqi Qiu, Fei Liao, Yulin Tan, Junlong Zhang, Changjun Zheng, Hanyu Wang, Huangming Zhuang, Wanli Xiong, Qingfang Xie, Weiguo Dong

“…A cross-sectional survey was conducted from August 2021 to May 2022 at Renmin Hospital of Wuhan University. …”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…While advanced machine learning methods such as XGBoost can enhance precision, simpler methods such as forward selection or backward elimination may offer similar performance in terms of bias and coverage with fewer computational demands. …”
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FDG‐PET patterns associate with survival in patients with prion disease by Nick Corriveau‐Lecavalier, Yoav D. Piura, Brian S. Appleby, Dror Shir, Leland R. Barnard, Venkatsampath Gogineni, David T. Jones, Gregory S. Day

“…Eigenvalues were input into a clustering algorithm to generate data‐driven clusters, which were compared by survival time. …”
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Data‐driven designing on mechanical properties of biodegradable wrought zinc alloys by Zongqing Hu, Shaojie Li, Jianfeng Jin, Yuping Ren, Rui Hou, Lei Yang, Gaowu Qin

“…[Correction added on 13 May 2025, after first online publication: In the preceding sentence, the value ‘12%’ has been changed to ‘10%’.]. …”
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A Novel Hybrid Deep Learning Framework for Evaluating Field Evapotranspiration Considering the Impact of Soil Salinity by Yao Rong, Weishu Wang, Peijin Wu, Pu Wang, Chenglong Zhang, Chaozi Wang, Zailin Huo

“…Nonetheless, due to the limited available measurements, data‐driven model may not adequately capture plant responses to salt stress, leading to significant prediction biases observed during independent testing. …”
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Climate Change Effects on Land Use and Land Cover Suitability in the Southern Brazilian Semiarid Region by Lucas Augusto Pereira da Silva, Edson Eyji Sano, Taya Cristo Parreiras, Édson Luis Bolfe, Mário Marcos Espírito-Santo, Roberto Filgueiras, Cristiano Marcelo Pereira de Souza, Claudionor Ribeiro da Silva, Marcos Esdras Leite

“…These projected changes may lead to biodiversity loss and socioeconomic disruptions in the study area.…”
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Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap by María I. González Pérez, Bastian Faulhaber, Mark Williams, Joao Encarnaçao, Pancraç Villalonga, Carles Aranda, Núria Busquets

“…The features were used for training with the XGBoost algorithm to generate a model for age classification. …”
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563 Optimize efficiency in clinical trial development by assessing and forecasting operationally associated risks utilizing REDCap by David Harwood, Laura N. Hanson, L. Wrenn, Jessi A McManus, Taylor M. Galloway, Katelyn H. Register, Sarah J. Voitik, Morgan A. Taylor, Carol A. Griffin, Gregg S. Day

“…In the future, the RPM tool may be used to identify risk factors associated with enrollment and accrual of participants.…”
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