Automatic melanoma and non-melanoma skin cancer diagnosis using advanced adaptive fine-tuned convolution neural networks by Muhammad Amir Khan, Tehseen Mazhar, Muhammad Danish Ali, Umar Farooq Khattak, Tariq Shahzad, Mamoon M. Saeed, Habib Hamam

“…Annotated skin cancer photographs are utilized to detect ROIs and reset the initial layer of the pre-trained CNN. …”
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Cutaneous metastases of invasive lobular breast cancer as the first clinical manifestation: a case report by Saja Karaja, Ahmad Almohamed, Ayham Qatza, Ahmed Aldolly, Sanaa Mansour, Alae Aldin Almasri

“…Breast carcinoma represents nearly one-third of all CM cases, although it manifests in a minority of patients with breast cancer (BC). Notably, CMs are detected at the time of primary tumor diagnosis in 6.3% of patients with BC and serve as the initial clinical presentation in only 3.5% of patients. …”
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A Fast Image Segmentation Algorithm Based on Saliency Map and Neutrosophic Set Theory by Sensen Song, Zhenhong Jia, Jie Yang, Nikola K. Kasabov

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An Integrated Fault Identification Approach for Rolling Bearings Based on Dual-Tree Complex Wavelet Packet Transform and Generalized Composite Multiscale Amplitude-Aware Permutatio... by Wuqiang Liu, Xiaoqiang Yang, Shen Jinxing

“…Consequently, timely detection and judgment of the current working status of the bearing is the key to improving productivity. …”
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Optimization of fermentation process for tangerine peel mead by response surface methodology by GUO Nannan, ZHANG Xinru, ZHANG Jie

“…And the physicochemical indicators and volatile flavor components of tangerine peel mead were detected and analyzed by conventional detection methods and gas chromatography-tandem mass spectrometry (GC-MS/MS). …”
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Analysis of Internet Marketing Forecast Model Based on Parallel K-Means Algorithm by Xiaolei Chen, Sikun Ge

“…Secondly, the weights in the K-means algorithm are mostly only applicable to target detection tasks. Therefore, when processing Internet marketing node detection tasks, the K-means algorithm is used to regress the training set and calculate 5 weights. …”
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Isolation Forests for Symbolic Data as a Tool for Outlier Mining by Marcin Pełka, Andrzej Dudek

“…Aim: Outlier detection is a key part of every data analysis. Although many definitions of outliers can be found in the literature, all of them emphasize that outliers are objects that are in some way different from other objects in the dataset. …”
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Visual Three-Dimensional Reconstruction of Aortic Dissection Based on Medical CT Images by Xiaojie Duan, Dandan Chen, Jianming Wang, Meichen Shi, Qingliang Chen, He Zhao, Ruixue Zuo, Xiuyan Li, Qi Wang

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Identifying performance differences among trail cameras used to monitor forest mammals by Kelsey Wellington, Christopher Bottom, Cody Merrill, John A. Litvaitis

“…To evaluate this potential source of sampling bias, we conducted head‐to‐head field trials with 2 cameras (Cuddeback™ Capture IR and Reconyx™ HC 600 Hyperfire) that had substantially different attributes that can affect sampling efficiency. Among initial comparisons, we found that Reconyx cameras (large detection zone and high‐sensitivity motion detector) recorded approximately twice as many independent photographs as did the paired Cuddeback cameras. …”
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Southwest Pacific Tropical Cyclone Rapid Intensification Classification Utilizing Machine Learning by Rupsa Bhowmick

“…The model identified the longitude of RI and non-RI events, initial intensity latitude, extent of initial intensity, and relative humidity at 850 hPa as the most important variables in the classification decision. …”
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Theoretical Studies on the Dynamical Behavior of Atom/Ion Migration on the Surface of Pristine and BN-Doped Graphene by Tong-Kun Zhang, Li-Jun Zhou, Jian-Gang Guo

“…In addition, near the normal equilibrium height, atoms/ions are mainly affected by the lateral force, and their migration behavior is also influenced by the initial position, initial height, initial lateral velocity, etc. …”
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Tackling misinformation in mobile social networks a BERT-LSTM approach for enhancing digital literacy by Jun Wang, Xiulai Wang, Airong Yu

“…Abstract The rapid proliferation of mobile social networks has significantly accelerated the dissemination of misinformation, posing serious risks to social stability, public health, and democratic processes. Early detection of misinformation is essential yet challenging, particularly in contexts where initial content propagation lacks user feedback and engagement data. …”
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EVALUATION OF ATRIAL CONTRACTILE FUNCTION DISORDERS AND FIBROSIS AS PREDICTORS OF CHRONIC HEART FAILURE by O. M. Drapkina, E. V. Cherkunova

“…The search for ways to develop non-invasive methods for determining the fraction of atrial fibrosis and dysfunction is now underway. Detection of the most sensitive and specific methods will help to diagnose the initial manifestation of CHF and find an individualized approach to the treatment of each patient.…”
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TRIM21 Promotes cGAS and RIG-I Sensing of Viral Genomes during Infection by Antibody-Opsonized Virus. by Ruth E Watkinson, William A McEwan, Jerry C H Tam, Marina Vaysburd, Leo C James

“…TRIM21 triggers an initial wave of cytokine transcription that is antibody, rather than pathogen, driven. …”
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Comparative Analysis between Active Contour and Otsu Thresholding Segmentation Algorithms in Segmenting Brain Tumor Magnetic Resonance Imaging by Sarah Husham, Aida Mustapha, Salama A. Mostafa, Mohammed K. Al-Obaidi, Mazin Mohammed, Alyaa Idrees Abdulmaged, S. Thomas George

“…The accuracy of brain tumor detection and segmentation are greatly affected by tumors’ location, shape, and image properties. …”
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A pilot study of the clinical significance and outcomes of infections in the ICU caused by colistin-resistant Klebsiella pneumoniae by I. N. Sychev, O. V. Ignatenko, S. V. Yakovlev, L. V. Fedina, E. N. Burmistrova, M. P. Suvorova, T. D. Rastvorova, E. V. Strigunkova, R. Kh. Mukhamadiev

“…The efficacy of initial antibiotic therapy after detection of CRKP infection has been shown to be associated with patient  survival and reduced risk of mortality with an odds ratio of 3.5. …”
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Tools and methods for cataract recognition in low-resource settings: A narrative review. by Paulina N Truong, Elizabeth A Merlinsky, Nicholas C Maamari, Christina Y Weng, Andrew G Lee

“…While much is known regarding surgical access and outcomes, less is understood about the initial detection of operable cataracts in low-resource settings. …”
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Gastroschisis. Case report and management in primary care services by Ricardo Ibarra-Calderón, Óscar Octalivar Gutiérrez Montufar, Jhan Sebastián Saavedra-Torres, Luisa Fernanda Zúñiga Cerón

“…It can be diagnosed during the prenatal stage by means of ultrasonography, which has high sensitivity and specificity for its detection. Conclusion: Gastroschisis is a disease that requires adequate knowledge from both specialized and primary care personnel, as it ensures a correct initial management and avoids future complications. …”
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Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI by Roey Mechrez, Jacob Goldberger, Hayit Greenspan

“…The matching labels for these k patches are then combined to produce an initial segmentation map for the test case. Finally an iterative patch-based label refinement process based on the initial segmentation map is performed to ensure the spatial consistency of the detected lesions. …”
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Investigation of Rock Mechanical Properties under Liquid Nitrogen Environment by Linchao Wang, Xin Liang, Xuyang Shi, Jianyong Han, Yang Chen, Wan Zhang

“…In order to evaluate the influence of liquid nitrogen on the mechanical properties, acoustic emission characteristics, and cross-sectional crack propagation characteristics of granite at different initial temperatures, this paper carried out three-point bending tests and acoustic emission detection on granite treated by high-temperature heating and liquid nitrogen cooling. …”
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