Global trends and characteristics of metal–organic frameworks in cancer research: a machine-learning-based bibliometric analysis by Heyuan Niu, Haipeng Du, Zhe Ji, Xiaoping Li, Wanyi Xiao, Anqi He, Ping Yu, Gang Liu

“…Although chemotherapy-based comprehensive therapies are common, their low accuracy and severe side effects limit effectiveness. …”
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Machine learning for early detection of plant viruses: Analyzing post-infection electrical signal patterns by Elham Ghasemi, Esmaeil Ebrahimie, Ali Niazi

“…By extracting a comprehensive range of features in the low-frequency range of 0–4 Hz and carefully examining specific changes in the electrical signals post-infection, significant alterations were observed, characterized by weakened signal strength and increased irregularity. …”
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Classifying detrital zircon U-Pb age distributions using automated machine learning by Jack W. Fekete, Glenn R. Sharman, Xiao Huang

“…In synthetic experiments, AutoML models effectively classify samples by their sources when inter-source similarity across few sources is low to moderate and samples have more than ∼50 analyses. …”
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Predictors of mortality among inpatients in COVID-19 treatment centers in the city of Butembo, North Kivu, Democratic Republic of Congo. by Pierre Z Akilimali, Dynah M Kayembe, Norbert M Muhindo, Nguyen Toan Tran

“…The time to event (death), the outcome variable, was visualized by Kaplan-Meier curves and the log-rank test was used to confirm differences in trends. …”
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Enhancing Post-Disaster Damage Detection and Recovery Monitoring by Addressing Class Imbalance in Satellite Imagery Using Enhanced Super-Resolution GANs (ESRGAN) by U. Lagap, S. Ghaffarian

“…We also employed Grad-CAM++ visualizations to interpret model predictions, which highlighted reliability improvements in certain classes. …”
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Mental well-being in Swedish adolescents 2014-2023: A repeated population-based cross-sectional study focusing on temporal variations and differences between groups. by Lena Uvhagen, Johanna Gustafsson, Fredrik Söderqvist

“…Girls, non-heterosexual adolescents, and adolescents with low socioeconomic status or impairments have lower levels of mental well-being than boys, heterosexual adolescents, and adolescents with higher socioeconomic status or without impairments, respectively. …”
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The efficacy of enhanced recovery program compared to routine care for patients undergoing knee replacement surgery: a systematic review and meta-analysis by Yanyan Ju, Guangling Wang, Xinglei Xiao

“…Although a trend of improvement was observed for all outcomes, the absence of statistical significance could be due to the low number of studies reporting each outcome. Subgroup analysis for the length of hospital stay revealed that enhanced recovery program was more effective in those with a body mass index (BMI) equal to or less than 30 Kg/m2, in individuals aged more than 65 years, and in studies with a sample size of more than 100 participants. …”
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Macular Microcysts in Mitochondrial Optic Neuropathies: Prevalence and Retinal Layer Thickness Measurements. by Michele Carbonelli, Chiara La Morgia, Giacomo Savini, Maria Lucia Cascavilla, Enrico Borrelli, Filipe Chicani, Carolina do V F Ramos, Solange R Salomao, Vincenzo Parisi, Jerry Sebag, Francesco Bandello, Alfredo A Sadun, Valerio Carelli, Piero Barboni

“…<h4>Conclusion</h4>The prevalence of MM in MON is low (5-6%), but associated with ONL thickening. …”
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Diagnostic Accuracy of Non-Contrast Magnetic Resonance Imaging in Diagnosing Pituitary Micro-Adenoma, Taking Histopathology as Gold Standard by Sehar Sarfraz, Tayyaba Ali, Pakeeza Shafiq, Zartashia Khan, Waqar Azeem, Ghazala Rasool, Ehsan Ul Haq

“… Background: Pituitary microadenomas (PMs) are common benign tumors that are often not visualized even when they are present due to their asymptomatic nature. …”
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Cost-Effectiveness of Automated Digital Microscopy for Diagnosis of Active Tuberculosis. by Swati Jha, Nazir Ismail, David Clark, James J Lewis, Shaheed Omar, Andries Dreyer, Violet Chihota, Gavin Churchyard, David W Dowdy

“…<h4>Methods</h4>Using data from a demonstration study of an automated digital microscopy system (TBDx, Applied Visual Systems, Inc.), we performed an economic evaluation of TB diagnosis in South Africa from the health system perspective. …”
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Leveraging deep learning for toxic comment detection in cursive languages by Muhammad Shahid, Muhammad Umair, Muhammad Amjad Iqbal, Muhammad Rashid, Sheeraz Akram, Muhammad Zubair

“…Most people can now share their views and feelings through visual or textual comments, which can range from appreciation to hate speech, potentially inciting societal violence and hatred. …”
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Local Information-Driven Hierarchical Fusion of SAR and Visible Images via Refined Modal Salient Features by Yunzhong Yan, La Jiang, Jun Li, Shuowei Liu, Zhen Liu

“…We incorporated the feature hierarchy concept from computer vision, dividing deep features into low-, mid-, and high-level tiers. Based on the complementary modal characteristics of SAR and visible, we designed a fusion architecture that fully analyze and utilize the difference of hierarchical features. …”
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Cryptococcal Meningitis: Challenges Faced in the Management of a Patient with Cryptococcoma by Priyaadarshini Urjan Mohan, Anupma Jyoti Kindo, SMH Waseem

“…Additionally, altered mental status, seizures, visual changes and focal neurological deficits may arise. …”
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Effect of Vibro-Tactile Stimulation Sequence and Support Surface Inclination on Gait and Balance Measures by Christopher P. Engsberg, Nathaniel H. Hunt, Steven Barlow, Mukul Mukherjee

“…<b>Methods</b>: Subjects walked at a level angle and 5.0 and 8.0 degrees of incline and with low visual conditions to increase reliance on tactile sensations from the feet. …”
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The development and validation of an easy to use automatic QT-interval algorithm. by Ben J M Hermans, Arja S Vink, Frank C Bennis, Luc H Filippini, Veronique M F Meijborg, Arthur A M Wilde, Laurent Pison, Pieter G Postema, Tammo Delhaas

“…For each subject, automatically estimated QT-intervals in three random complexes chosen from the low, middle and high RR range, were compared with manually measured QT-intervals by three observers.…”
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Experimental Study on Pore Structure Quantitative Characterization and Enhanced Oil Recovery During Air/CO2 Flooding of Shale Reservoir With Online NMR by Chuanyi Tang, Meng Du, Jiaxing Liu, Lei Bai, Hui Tian, Zhihong Li, Liang Xu, Qiang Luo, Hongxian Liu, Liguo Zhou, Zhengming Yang

“…In this study, we characterized the microscopic pore structure of shale reservoirs through the reconstruction of visual and quantitative digital cores in multiple dimensions. …”
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The Time Course of Deafness and Retinal Degeneration in a Kunming Mouse Model for Usher Syndrome. by Lu Yao, Lei Zhang, Lin-Song Qi, Wei Liu, Jing An, Bin Wang, Jun-Hui Xue, Zuo-Ming Zhang

“…Quantitative real-time PCR was used to measure the expression levels of mRNA. KMush/ush mice had low amplitudes and no obvious waveforms of Electroretinograms after P14 compared with controls. …”
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YOLOv8n-DSDL: A lightweight dual-backbone network with decoupled self-attention for cotton maturity detection by Meiqi Zhong, Linjing Wei, Henghui Mo

“…However, existing models often suffer from low detection accuracy and poor adaptability due to challenges such as varietal diversity, rapid changes in maturity stages, difficulty in small object detection, and environmental interferences like lighting and occlusion. …”
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Treatment options for chronic hypotony: a scoping review protocol by Harry Petrushkin, Rana Khalil, Desta Bokre, Karla Orsine Murta Dias, Aman Sutaria, Diya Shah

“…Introduction Chronic ocular hypotony (low intraocular pressure (IOP)) is a potentially sight-threatening condition. …”
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Repeatability and reproducibility of a double-pass optical quality analysis device. by Chen-Chen Xu, Ting Xue, Qin-Mei Wang, Yi-Ni Zhou, Jin-Hai Huang, A-Yong Yu

“…Repeatability and reproducibility were good with a very low coefficient of variation and high interclass correlation coefficients (>0.88) for all parameters. …”
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