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  1. 24961

    A Supervised Explainable Machine Learning Model for Perioperative Neurocognitive Disorder in Liver-Transplantation Patients and External Validation on the Medical Information Mart... by Zhendong Ding, Linan Zhang, Yihan Zhang, Jing Yang, Yuheng Luo, Mian Ge, Weifeng Yao, Ziqing Hei, Chaojin Chen

    Published 2025-01-01
    “…Six ML algorithms were used to predict post-LT PND, and model performance was evaluated using area under the receiver operating curve (AUC), accuracy, sensitivity, specificity, and F1-scores. The best-performing model was additionally validated using a temporal external dataset including 309 LT cases from February 2020 to August 2022, and an independent external dataset extracted from the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database including 325 patients. …”
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  2. 24962

    Automatic etiological classification of stroke thrombus digital photographs using a deep learning model by Álvaro Lucero-Garófano, Álvaro Lucero-Garófano, Alicia Aliena-Valero, Isabel Vielba-Gómez, Isabel Vielba-Gómez, Irene Escudero-Martínez, Irene Escudero-Martínez, Lluís Morales-Caba, Lluís Morales-Caba, Fernando Aparici-Robles, Fernando Aparici-Robles, Diana L. Tarruella Hernández, Diana L. Tarruella Hernández, Gerardo Fortea, Gerardo Fortea, José I. Tembl, José I. Tembl, Juan B. Salom, Juan B. Salom, José V. Manjón

    Published 2025-01-01
    “…The metrics used were DICE coefficient for the segmentation network, and accuracy, precision, sensitivity, specificity and area under the curve (AUC) for the predictions of the classification network.ResultsA total of 166 patients (mean age 69 [SD, 13], 67 female) were included. …”
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  3. 24963

    Pioglitazone Attenuates Drug-Eluting Stent-Induced Proinflammatory State in Patients by Blocking Ubiquitination of PPAR by Zhongxia Wang, Tao Zhang, Lizhe Sun, Ruifeng Li, Yuanyuan Wei, Xiaojuan Fan, Zuyi Yuan, Junhui Liu, Tao Chen

    Published 2016-01-01
    “…After 12 weeks of treatment, plasma concentrations of high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and matrix metalloproteinase-9 (MMP-9) were significantly decreased in PIO group compared to the Con group (P=0.035, 0.011, 0.008, and 0.012, resp.). …”
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  4. 24964
  5. 24965

    Impairment of Microcirculation Parameters in Patients with a History of Diabetic Foot Ulcers by Julien Vouillarmet, Audrey Josset-Lamaugarny, Myriam Moret, Christine Cugnet-Anceau, Paul Michon, Emmanuel Disse, Dominique Sigaudo-Roussel

    Published 2024-12-01
    “…<i>Results</i>: There was no significant difference between the two groups in terms of age, diabetes duration, transcutaneous oxygen pressure level, skin microcirculatory reactivity, neuropathy disability score, neuropathy symptom score, or thermal sensitivity. Patients in Grade 3 were more likely to present with retinopathy (OR 3.15, 95%CI [1.53; 6.49]) and severe sudomotor dysfunction (OR 2.73 95%CI [1.29; 5.80] but less likely to have abnormal VPT (OR 0.20 95%CI [0.05; 0.80]). …”
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  6. 24966
  7. 24967

    Radiopharmaceuticals and their applications in medicine by Siqi Zhang, Xingkai Wang, Xin Gao, Xueyao Chen, Linger Li, Guoqing Li, Can Liu, Yuan Miao, Rui Wang, Kuan Hu

    Published 2025-01-01
    “…Radiopharmaceutical therapy, which directly causes systematic and irreparable damage to targeted cells, has attracted increasing attention in the treatment of refractory diseases that are not sensitive to current therapies. As the Food and Drug Administration (FDA) approvals of [177Lu]Lu-DOTA-TATE, [177Lu]Lu-PSMA-617 and their complementary diagnostic agents, namely, [68Ga]Ga-DOTA-TATE and [68Ga]Ga-PSMA-11, targeted radiopharmaceutical-based theranostics (radiotheranostics) are being increasingly implemented in clinical practice in oncology, which lead to a new era of radiopharmaceuticals. …”
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  8. 24968

    Effectiveness of home-based walking exercise for patients with peripheral artery disease and intermittent claudication: a systematic review and meta-analysis by Zheng Xu, Jing Chuo, Xiaoqin Zhao

    Published 2025-01-01
    “…Studies without available data were excluded.Data extraction and synthesis We analysed the pooled effect size on walking performance based on the standardised mean differences between groups. A leave-one-out sensitivity analysis was performed to ensure the robustness of the findings.Results A total of eight studies were included in the meta-analysis. …”
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  9. 24969

    Pharmacophore modeling and QSAR analysis of anti-HBV flavonols. by Basireh Baei, Parnia Askari, Fatemeh Sana Askari, Seyed Jalal Kiani, Alireza Mohebbi

    Published 2025-01-01
    “…The model's accuracy was further validated using a set of FDA-approved chemicals, demonstrating a sensitivity of 71% and a specificity of 100%. Additionally, the QSAR model with two predictors, x4a and qed, exhibited predictive solid performance with an adjusted-R2 value of 0.85 and 0.90 of Q2. …”
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  10. 24970

    Synaptic modulation of glutamate in striatum of the YAC128 mouse model of Huntington disease by Judy Cheng, Ellen T. Koch, Daniel Ramandi, James P. Mackay, Timothy P. O’Leary, William Rees-Jones, Lynn A. Raymond

    Published 2025-02-01
    “…Conclusions: These findings suggest that YAC128 corticostriatal slices show increased D2 sensitivity that is eCB-dependent, and that dopamine and eCB release are altered at an early disease stage. …”
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  11. 24971

    Alterations of Some Apolipoprotein Levels and ApoE RNA Expression in Iraqi Patients with Chronic Hepatitis B Viral Infection by Amnah Raad Ibrahim, Raghad Hassan Hussein, Athraa Zaidan Hassan

    Published 2024-10-01
    “…The receiver operating characteristic curve analysis for all parameters showed high sensitivity and specificity, with area under the curve affirming their potential as biomarkers for increased CVD risk in patients with chronic HBV infection. …”
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  12. 24972

    Simulation of a catalytic deoxygenation reaction of fatty acids to produce biohydrocarbons and evaluation of the influence of reaction parameters on the conversion and selectivity... by Rafael Mesquita de Moura, Bruna Xisto Silva Sampaio, Isabella Diniz Oliveira, Josué Furbino de Melo, Brunela Pereira da Silva, Fernando Cotting, Daniel Bastos de Rezende

    Published 2024-05-01
    “…From the variation of these parameters for a sensitivity analysis, with conversion as the key response, the following optimal operating conditions were defined: temperature of 650 K, pressure of 50 bar, molecular hydrogen feed of 4.1 x 10-3 m³ s-1, and catalyst mass of 8 kg. …”
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  13. 24973

    Robustness evaluation of commercial liveness detection platform by Pengcheng WANG, Haibin ZHENG, Jianfei ZOU, Ling PANG, Hu LI, Jinyin CHEN

    Published 2022-02-01
    “…Liveness detection technology has become an important application in daily life, and it is used in scenarios including mobile phone face unlock, face payment, and remote authentication.However, if attackers use fake video generation technology to generate realistic face-swapping videos to attack the living body detection system in the above scenarios, it will pose a huge threat to the security of these scenarios.Aiming at this problem, four state-of-the-art Deepfake technologies were used to generate a large number of face-changing pictures and videos as test samples, and use these samples to test the online API interfaces of commercial live detection platforms such as Baidu and Tencent.The test results show that the detection success rate of Deepfake images is generally very low by the major commercial live detection platforms currently used, and they are more sensitive to the quality of images, and the false detection rate of real images is also high.The main reason for the analysis may be that these platforms were mainly designed for traditional living detection attack methods such as printing photo attacks, screen remake attacks, and silicone mask attacks, and did not integrate advanced face-changing detection technology into their liveness detection.In the algorithm, these platforms cannot effectively deal with Deepfake attacks.Therefore, an integrated live detection method Integranet was proposed, which was obtained by integrating four detection algorithms for different image features.It could effectively detect traditional attack methods such as printed photos and screen remakes.It could also effectively detect against advanced Deepfake attacks.The detection effect of Integranet was verified on the test data set.The results show that the detection success rate of Deepfake images by proposed Integranet detection method is at least 35% higher than that of major commercial live detection platforms.…”
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  14. 24974

    Glucose Metabolism of Human Prostate Cancer Mouse Xenografts by Hossein Jadvar, Xiankui Li, Antranik Shahinian, Ryan Park, Michel Tohme, Jacek Pinski, Peter S. Conti

    Published 2005-04-01
    “…We performed in vivo biodistribution and imaging studies of [F-18] fluorodeoxyglucose (FDG) accumulation in androgen-sensitive (CWR-22) and androgen-independent (PC-3) human prostate cancer xenografts implanted in castrated and noncastrated male athymic mice. …”
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  15. 24975

    Rapid Detection of Aluminium and Iron Impurities in Lithium Carbonate Using Water-Soluble Fluorescent Probes by Hong-Mei Wu, Huai-Gang Cheng, Zi-Wen Zhu, Li Cui

    Published 2024-12-01
    “…Probe A and Probe B exhibited good stability in the pH range of 4–9 in aqueous solutions, high sensitivity, as well as high selectivity for Al<sup>3+</sup> and Fe<sup>3+</sup>; the detection limits for Al<sup>3+</sup> and Fe<sup>3+</sup> were 1.180 and 1.683 μmol/L, whereas the response times for Al<sup>3+</sup> and Fe<sup>3+</sup> were as low as 10 and 30 s, respectively. …”
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  16. 24976

    CCD Standard Curve Fitting for Microarray Detection Base on Multi-Layer Perceptron by Zhenhua Gan, Dongyu He, Peishu Wu, Baoping Xiong, Nianyin Zeng, Fumin Zou, Feng Guo, Qin Bao, Fengyan Zhao

    Published 2024-01-01
    “…Due to the characteristics of semiconductors, the CCD sensor in the scanner we designed suffers from saturation, the non-linear relationship between photoelectric response and the light intensity collected by CCD, which poses a challenge for fitting the standard curve of microarray scanner. …”
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  17. 24977

    Effect of Petroleum Fuels and Lubricants on Soil Properties of Auto-mechanic Workshops and Garages in Cape Coast Metropolis, Ghana by H.D. Nyarko, G.C. Okpokwasili, O.F. Joel, I.A.K. Galyuon

    Published 2019-08-01
    “…Petroleum hydrocarbon contamination altered soil properties and may adversely affect sensitive bacteria. Keywords: Physiochemical properties, Soil, Petroleum hydrocarbon, Contamination …”
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  18. 24978

    Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study by Fumin Xu, Xiao Chen, Chenwenya Li, Jing Liu, Qiu Qiu, Mi He, Jingjing Xiao, Zhihui Liu, Bingjun Ji, Dongfeng Chen, Kaijun Liu

    Published 2021-01-01
    “…The adaptive boosting algorithm (AdaBoost) showed the best predictive performance with the highest AUC value (0.826; 95% confidence interval: 0.740 to 0.888). The sensitivity of AdaBoost (80.49%) and specificity of logistic regression analysis (93.33%) were the best scores among the six models in the test set. …”
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  19. 24979

    Microbial Diversity and Antibiotic Susceptibility Pattern of Bacteria Associated with Motorcycle Helmets by Sanjeep Sapkota, Sujan Khadka, Sanjib Adhikari, Ashish Parajuli, Hemraj Kandel, Ramesh Sharma Regmi

    Published 2020-01-01
    “…Tetracycline, gentamycin, and cotrimoxazole were the most effective antibiotics for Gram-positive isolates, whereas Gram-negative isolates were sensitive towards imipenem and ciprofloxacin. Of the total bacterial isolates, 153 (39.0%) were multidrug-resistant (MDR), 10.4% were extended-spectrum beta-lactamase (ESBL) producers, and 4.3% were metallo-beta-lactamase (MBL) producers and, out of 89 isolates of Staphylococcus aureus, 30 (33.7%) were detected as methicillin-resistant Staphylococcus aureus (MRSA). …”
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  20. 24980

    Secretory mitophagy: an extracellular vesicle-mediated adaptive mechanism for cancer cell survival under oxidative stress by Purva V. Gade, Angela Victoria Rojas Rivera, Layla Hasanzadah, Sofie Strompf, Thomas Raymond Philipson, Matthew Gadziala, Atharva Tyagi, Arnav Bandam, Rithvik Gabbireddy, Fatah Kashanchi, Amanda Haymond, Lance A. Liotta, Marissa A. Howard

    Published 2025-01-01
    “…Ultimately, our findings may inform new prevention strategies targeting pre-malignant lesions and therapeutic approaches designed to sensitize tumor cells to oxidative stress-inducing therapies.…”
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