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  1. 34141

    Automatic detection and multi-component segmentation of brain metastases in longitudinal MRI by Vincent Andrearczyk, Luis Schiappacasse, Daniel Abler, Marek Wodzinski, Andreas Hottinger, Matthieu Raccaud, Jean Bourhis, John O. Prior, Vincent Dunet, Adrien Depeurnge

    Published 2024-12-01
    “…Our findings indicate that this correlation disappears when utilizing the re-segmentation approach and evaluating with the unbiased normalized DSC. In conclusion, the automated segmentation of new lesions and subsequent re-segmentation in follow-up images was achievable, with high level of performance obtained for single- and multiple-component segmentation tasks.…”
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  2. 34142

    Assessment of myocardial deformation by CMR tissue tracking reveals left ventricular subclinical myocardial dysfunction in patients with gynecologic cancer undergoing chemotherapy by Kai Tao, Kai Tao, Lu Ye, Yan-Jia-Ni Xu, Yan-Jia-Ni Xu, Meng-Xi Yang, Ru-Tie Yin, Qing-Li Li, Xiao-Juan Lin, Ke-Min Li, Liang Song, Yu Ma, Lan Zhong, Ying Hu, Hua-Yan Xu, Dan-Qing Wang, Ying-Kun Guo

    Published 2025-02-01
    “…Correlations between LV deformation parameters, clinical characteristics, and serum myocardial injury biomarkers were also analyzed.ResultsA total of 86 patients with gynecologic cancer and 30 normal controls were included. Among the patients, 41 completed CMR follow-up with a median interval of 6 months. …”
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  3. 34143

    Forecasting Foreign Exchange Volatility Using Deep Learning Autoencoder-LSTM Techniques by Gunho Jung, Sun-Yong Choi

    Published 2021-01-01
    “…Recently, various deep learning models based on artificial neural networks (ANNs) have been widely employed in finance and economics, particularly for forecasting volatility. …”
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  4. 34144

    Bio-reinforcement for improving shear strength in road embankments towards eco-friendly soil stabilization and sustainable infrastructure by S. Chezhiyan, K. Sudalaimuthu

    Published 2024-10-01
    “…In Location 1, the bio-reinforced soil showed a 48 percent to 64 percent increase in shear strength across different normal stresses, averaging a 53 percent improvement. …”
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  5. 34145

    Muscle Activity and Kinematics During Three Hamstring Strengthening Exercises Compared to Sprinting: A Cross-Sectional Study. by Adelso Jorge, Eric Lichtenstein, Oliver Faude, Ralf Roth

    Published 2024-05-01
    “… # Methods Muscle activity of the posterior kinetic chain (biceps femoris, semitendinosus, gluteus maximus, and medial gastrocnemius) was measured with surface electromyography (sEMG) during the exercises and treadmill running at 75% of the individual maximal sprint velocity in male athletes. sEMG data were normalized to maximal sprinting. 3D-motion capture was employed to assess hip and knee angles…”
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  6. 34146

    Adipose-derived mesenchymal stem cells combined with platelet-rich plasma are superior options for the treatment of osteoarthritis by Weijie He, Jie Zhao, Jiafei Liu, Fangxing Wang, Zhenyu Xu

    Published 2025-01-01
    “…Methods Eight- to nine-week-old male Sprague-Dawley (SD) rats were randomly assigned to two groups: (1) a normal control group (Group A) and (2) a model group. …”
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  7. 34147

    A Novel Model Using ML Techniques for Clinical Trial Design and Expedited Patient Onboarding Process by Iyer A, Narayanaswami S

    Published 2025-01-01
    “…Five ML models—XGBoost, Random Forest, Support Vector Classifier (SVC), Logistic Regression, and Decision Tree—were applied to both datasets, alongside Artificial Neural Networks (ANN) for the second dataset. Model performance was evaluated using precision, recall, balanced accuracy, ROC-AUC, and weighted F1-score, with results averaged across k-fold cross-validation.Results: In the first phase, XGBoost and Random Forest emerged as the best-performing models across all five subsets, achieving an average balanced accuracy of 0.71 and an average ROC-AUC of 0.7. …”
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  8. 34148

    Protective Effects of Thalidomide on High-Glucose-Induced Podocyte Injury through In Vitro Modulation of Macrophage M1/M2 Differentiation by Hui Liao, Yuanping Li, Xilan Zhang, Xiaoyun Zhao, Dan Zheng, Dayue Shen, Rongshan Li

    Published 2020-01-01
    “…The results showed that compared to the 11.1 mM normal glucose (NG), the 33.3 mM HG-cultured RAW 264.7 cells exhibited upregulated iNOS and TNF-α mRNAs and protein expressions, and downregulated CD206 and Arg-1 expressions significantly (p<0.05). …”
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  9. 34149

    Estimating large complex projects Estimando proyectos grandes y complejos by Cliff Schexnayder, Keith Molenaar, Jennifer Shane

    Published 2007-08-01
    “…Over the time span between the initiation of a project and the completion of construction many factors influence a project's final costs. This time span is normally several years in duration but for highly complex and technologically challenging projects, project duration can easily exceed a decade. …”
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  10. 34150

    Expression of angiotensin converting enzyme 2 in patients with oral squamous cell carcinoma by Shivani Sivasakthivel, Pratibha Ramani, Selvaraj Jayaraman

    Published 2024-06-01
    “…Analyzed results shows that the ACE 2 protein expression in OSCC tumour tissue was lower than that in normal tissue (p = 0.004) Conclusion: Angiotensin Converting Enzyme 2 was significantly lower in Oral Squamous Cell Carcinoma tissues when compared with healthy samples. …”
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  11. 34151

    Different cortex activation between young and middle-aged people during different type problem-solving: An EEG&fNIRS study by Mevhibe Saricaoglu, Meryem Ayşe Yücel, Miray Budak, Ahmet Omurtag, Lutfu Hanoglu

    Published 2025-03-01
    “…Finally, the EEG and fNIRS correlation results showed positive correlations between HbO and alpha frequency band power in specific brain regions while solving general knowledge questions, particularly in the middle-aged group.The study reveals age-related differences in behavioral performance, brain activation patterns, and neural correlates during various cognitive tasks, showcasing distinct strengths between middle-aged and young individuals in specific question types.…”
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  12. 34152

    Clinical Profile and Prescription Patterns in Culture-proven Enteric Fever in Children by Divya Priyadharshini, Mobill Clinton, Nandini Sethuraman, Mathrubootham Sridhar, Vidya Krishna

    Published 2024-03-01
    “…Conclusion: <i>Salmonella paratyphi (S. paratyphi)</i> caused 23.5% of culture-proven enteric fever cases. Most cases had normal leukocyte counts, eosinopenia, and elevated CRP. …”
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  13. 34153

    Di Gotinên Pêşîyan ên Kurdan de Fehma Zayenda Civakî by Muhammed Kayran

    Published 2024-09-01
    “…Pênasekirinên nûjen ên zayendan wek LGBT-İ di çanda Kurdan ne wek zayendên serbixwe lê wek tevgerên ne normal ên jin û mêran hatine dîtin. Me di vê xebata xwe de ji pirtûkên gotinên pêşîyan ên çapkirî, gotinên ku di hindûrên xwe de qala zayendan û rolên wan dikin hilbijartin û tesnîf kirin. …”
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  14. 34154

    Chemotherapy-induced cellular senescence promotes stemness of aggressive B-cell non-Hodgkin’s lymphoma via CCR7/ARHGAP18/IKBα signaling activation by Yangyang Wang, Fan Wu, Yang Wan, Huiping Wang, Linhui Hu, Qianshan Tao, Zhimin Zhai, Jiyu Wang, Keke Huang, Anwen Ren, Jinlan Li, Liuying Yi, Yanjie Ruan, Zhixiang Wanyan, Chaohong Liu

    Published 2025-01-01
    “…Finally, inhibitors GS143 and Y27632 were used to examine the effect of IKBα and ARHGAP/RhoA inhibition on B-NHL-TIS.Results Here we identified a distinct group of TIS, composed of memory B-cell population characterized by strong positive expression of CCR7, which was significantly elevated in TIS population compared with normal proliferating and autonomously senescent lymphoma cell populations. …”
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  15. 34155

    Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics by Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni, Nizar Alsharif

    Published 2021-01-01
    “…This paper presents three adapting intelligence models: support vector machine regression (SVMR), artificial neural network using particle swarm optimisation (ANNPSO), and our intelligent time series (INTS) to predict influenza epidemics. …”
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  16. 34156

    Efficacy of Intramuscular versus Intravenous Dexmedetomidine on Attenuation of Haemodynamic Responses to Laryngoscopy and Endotracheal Intubation: A Randomised Clinical Trial by Anupama Kumari, Paras Anand, Jigisha Mehta, Sara Mary Thomas

    Published 2025-01-01
    “…Dexmedetomidine 1 μg/kg intravenously as infusion in 100 mL Normal Saline (NS) over 10 minutes 45 minutes prior to induction. …”
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  17. 34157

    Advances in the Study of AI-assisted Diagnosis and Rehabilitation of ASD by Bosen MA, Xiaorong ZENG, Ran GONG, Farui LI

    Published 2019-12-01
    “…The AI-assisted diagnosis research analyzes relevant data mainly by training the artificial neural network. The data include: ①brain imaging data from the ASD group and the matched group.②multimodal data of speech, movements and facial expressions produced by infants or children with ASD and data of the diagnostic process. …”
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  18. 34158
  19. 34159

    Spinal neuromodulation using ultra low frequency waveform inhibits sensory signaling to the thalamus and preferentially reduces aberrant firing of thalamic neurons in a model of ne... by Martyn G. Jones, Martyn G. Jones, Liam A. Matthews, Liam A. Matthews, Scott Lempka, Scott Lempka, Scott Lempka, Nishant Verma, James P. Harris, Stephen B. McMahon

    Published 2025-01-01
    “…Third, this novel form of neuromodulation preferentially attenuates pathological thalamic activity in this neuropathic model compared to normal activity in naïve and sham-operated animals. …”
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  20. 34160

    Human Umbilical Cord Mesenchymal Stem Cells Attenuate Ocular Hypertension-Induced Retinal Neuroinflammation via Toll-Like Receptor 4 Pathway by Shangli Ji, Jie Xiao, Jian Liu, Shibo Tang

    Published 2019-01-01
    “…The animals were randomly divided into three groups: the normal group, the OHT+phosphate-buffered saline (PBS) group, and the OHT+hUC-MSC group. …”
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