Differential Diagnosis of Peripheral Lung Lesions: Capabilities and Limitations of Current Methods by R. N. Islamov, R. A. Sharipov, M. A. Bagirov, R. K. Tukfatullin, G. V. Chitorelidze, E. V. Pavlova, R. K. Yagafarova

“…The absence of a unified diagnostic algorithm often necessitates surgical intervention. …”
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Relationship Between Sepsis Phenotypes and Treatment Characteristics of Patients with Viral and Bacterial Pneumonia by I. A. Ruslyakova, E. Z. Shamsutdinova, L. B. Gaikovaya

“…New subgroups of patients with severe community-acquired pneumonia (SCAP) are hardly predicted by the use of clinical covariates; clusterization may significantly improve diagnostic approaches and facilitate the adaptation of specific treatment modalities to patient’s individual characteristics.The aim of the study. …”
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A Novel Framework to Facilitate User Preferred Tuning for a Robotic Knee Prosthesis by Abbas Alili, Varun Nalam, Minhan Li, Ming Liu, Jing Feng, Jennie Si, He Huang

“…However, very few automatic tuning algorithms consider the user preference as the tuning goal, which may limit the adoptability of the robotic prosthesis. …”
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Nordic inflammatory bowel disease treatment strategy trial: protocol for the NORDTREAT randomised controlled biomarker-strategy trial by Jonas Halfvarson, Robin Christensen, Vibeke Andersen, Jens Kjeldsen, Johan D Söderholm, Anja Fejrskov, Johannes David Füchtbauer, Lóa G Davíðsdóttir, Martin Rejler, Dirk Repsilber, Marte Høivik

“…Patients with aggressive disease may not receive sufficient treatment with conventional ‘step-up’ therapy, whereas a top-down approach may expose patients with indolent disease to unnecessary treatment-related toxicity. …”
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The Core Mass Function across Galactic Environments. IV. The Galactic Center by Alva V. I. Kinman, Maya A. Petkova, Jonathan C. Tan, Giuliana Cosentino, Yu Cheng

“…The origin of the stellar initial mass function (IMF) and how it may vary with galactic environment is a matter of debate. …”
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Redefining the Diagnostic Approach to Adrenal Insufficiency: Re-Assessment of Baseline and Cortisol Increment Cut-Offs with the 1 µg Synacthen Test by Taieb Ach, Rim Dhaffar, Asma Ammar, Aycha Ghachem, Imen Halloul, Wiem Saafi, Hamza El Fekih, Ghada Saad, Yosra Hasni, Monia Zaouali

“…The Low Dose Synacthen Test (LDST) is commonly used to evaluate adrenal function, but traditional cortisol cut-offs may not accurately reflect adrenal function in all patients. …”
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Development of a high-performing, cost-effective and inclusive Afrocentric predictive model for stroke: a meta-analysis approach  by M Nweke, P Oyirinnaya, P Nwoha, SB Mitha, N Mshunqane, N Govender, M Ukwuoma, SC Ibeneme

“…Most validated prediction models do not include data from African populations and may not be appropriate for the region. Relying solely on statistical significance to identify predictors may compromise algorithm performance. …”
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Evolutionary and expression analysis of sugar transporters from Tartary buckwheat revealed the potential function of FtERD23 in drought stress by Dili Lai, Md. Nurul Huda, Yawen Xiao, Tanzim Jahan, Wei Li, Yuqi He, Kaixuan Zhang, Jianping Cheng, Jingjun Ruan, Meiliang Zhou

“…Further, we observed that the overexpression of FtERD23 maintains osmotic pressure through glucose transport, which may enhance drought stress tolerance. Moreover, gene co-expression analyses using weighted gene co-expression network analysis (WGCNA) and fuzzy c-means algorithm (FCMA) identified six transcription factors that may regulate FtERD23 expression and are involved in plant drought tolerance. …”
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SC-PA: A spot-checking model based on Stackelberg game theory for improving peer assessment by Jia Xu, Panyuan Yang, Teng Xiao, Pin Lv, Minghe Yu, Ge Yu

“…During a peer assessment activity in teaching practices, students may not have sufficient motivation to review their peers’ submissions, which makes the peer assessment results questionable. …”
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A novel method for detecting intracranial pressure changes by monitoring cerebral perfusion via electrical impedance tomography by Ming-xu Zhu, Jun-yao Li, Zhan-xiu Cai, Yu Wang, Wei-ce Wang, Yi-tong Guo, Guo-bin Gao, Qing-dong Guo, Xue-tao Shi, Wei-chen Li

“…Abstract Background Acute and critical neurological diseases are often accompanied with elevated intracranial pressure (ICP), leading to insufficient cerebral perfusion, which may cause severe secondary lesion. Existing ICP monitoring techniques often fail to effectively meet the demand for real-time noninvasive ICP monitoring and warning. …”
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Pixel-Based Change Detection in Moving-Camera Videos Using Twin Convolutional Features on a Data-Constrained Scenario by Luiz G. C. Tavares, Allan F. Da Silva, Rafael Padilla, Lucas A. Thomaz, Sergio L. Netto, Eduardo A. B. Da Silva

“…This work proposes the Pixel-Based Change Detection using a Moving Camera (PBCD-MC) algorithm for detecting anomalies in a cluttered industrial site. …”
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Prognosis model of patients with breast cancer based on metabolism-related LncRNAs by Dan Zhang, Shiwei Ma, Liling Yang, Hongyuan Liu, Han Jiang, Yan Wang

“…Abstract Objective Metabolism-related lncRNAs may play a significant role in the occurrence and development of breast cancer. …”
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INCIDENCE OF PSORIATIC ARTHRITIS IN RUSSIA: TRENDS AT THE PRESENT STAGE AND PROSPECTS by O. S. Mishina, T. V. Korotaeva, V. I. Starodubov, E. L. Nasonov

“…The established situation may be improved by elaborating and introducing a diagnostic algorithm for PsA, by carrying out prophylactic examinations of psoriatic patients within mandatory health insurance in order to reveal the clinical signs of the disease, by timely examining the patients by a rheumatologist, and by creating the routing of the patients at all sociomedicalcare levels, and by simultaneously improving thesystem for the organizational recording of PsA cases in the country as a whole.…”
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Machine learning-based integration develops relapse related signature for predicting prognosis and indicating immune microenvironment infiltration in breast cancer by Junyi Li, Shixin Li, Dongpo Zhang, Yibing Zhu, Yue Wang, Xiaoxiao Xing, Juefei Mo, Yong Zhang, Daixiang Liao, Jun Li

“…Existing tumor models often rely on single selection and simpler algorithms, which can lead to poor effectiveness or overfitting. …”
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Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at... by Charlotte Havreng-Théry, Arnaud Fouchard, Fabrice Denis, Jacques-Henri Veyron, Joël Belmin

“…MethodsThis study was a comparative, retrospective, and controlled trial on data collected between May 31, 2021, and May 31, 2022, in one health care and home nursing center located in Brittany, France. …”
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Predicting vector distribution in Europe: at what sample size are species distribution models reliable? by Lianne Mitchel, Lianne Mitchel, Guy Hendrickx, Ewan T. MacLeod, Cedric Marsboom, Cedric Marsboom

“…Further research may seek to refine these estimates and confirm transferability to real vectors.…”
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Sialyltransferase-related genes as predictive factors for therapeutic response and prognosis in cervical cancer by Jia Shao, Can Zhang, Yaonan Tang, Aiqin He, Xiangyan Cheng

“…“MCPcounter” R package, ESTIMATE algorithm and TIMER online tools were used to depict the tumor immune microenvironment in CC. …”
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Combined Effect of Maternal Vitamin D Deficiency and Gestational Diabetes Mellitus on Trajectories of Ultrasound-Measured Fetal Growth: A Birth Cohort Study in Beijing, China by Zheng Liu, Hui Liu, Xiangrong Xu, Shusheng Luo, Jue Liu, Chuyao Jin, Na Han, Hai-Jun Wang

“…Maternal 25(OH)D deficiency and GDM may jointly increase the risk of excessive fetal growth. …”
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Social Media Suicide Watch by Katherine Prothro

“…These distinctions are critical in determining the appropriate level of intervention, something that human judgment may handle more effectively than algorithmic detection. …”
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Bridging aging, immunity, and atherosclerosis: novel insights into senescence-related genes by Yan Lu, Rong Yuan, Rong Yuan, Qiqi Xin, Qiqi Xin, Keji Chen, Keji Chen, Weihong Cong, Weihong Cong

“…Senescence signatures in cell populations were quantified using the AUCell scoring algorithm. Intercellular crosstalk was explored using CellChat. …”
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