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

“…This unsupervised technique enables the mining of discriminative features from the skin cancer images, effectively mitigating overfitting concerns and letting the model adjust structural features of skin cancer images, facilitating effective detection of skin cancer features. …”
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Exploratory analysis of potential toxic elements in Moroccan couscous and health risk evaluation utilizing ICP-OES by Othmane Hammani, Najlae El-Otmani, Omar Ben Lenda, Hamza El Azhari, Abderrazak Rfaki, Naima Lahlouhi, Youssef Mourad, Abdelaziz Abdallaoui

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Scenarios of Carbon Capture and Storage Importance in the Process of Energy System Transformation in Poland by Aurelia Rybak, Jarosław Joostberens

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Development of Resonant Density Meter and Its Application in Tailings Backfilling by Xiaozhou Cheng

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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Blockchain and Game Theory-Based Strategies for Anti-Jamming and Eavesdropping in EH-CR Networks by Haifeng Hou, Ruiquan Lin, Jun Wang, Sheng Li, Wencheng Chen

“…Considering the possible interference caused by channel switching and the greedy principle of Malicious User (MU), the proposed two-layer game method gradually optimizes the sensing detection probability and secure communication rate with time slot iteration. …”
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Enhancing quality inspection efficiency and reliability of unscreened recycled coarse aggregates (RCA) streams using innovative mobile sensor-based technology by Cheng Chang, Francesco Di Maio, Rajeev Bheemireddy, Perry Posthoorn, Abraham T. Gebremariam, Peter Rem

“…This innovation improves efficiency compared to traditional methods, supporting sustainable practices in the construction industry. …”
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Predictive value of microRNA-133a-3p for early urinary incontinence after radical prostatectomy for prostate cancer and its correlation with rehabilitation effects by Fan Yang, Qiuxia Qin, Juan Liu

“…Bioinformatics tools were employed for mining the miR-133a-3p possible genes. Results An obvious reduction of miR-133a-3p was detected in patients with UI compared with those with urinary continence (UC) (P < 0.001), demonstrating a high diagnostic capacity for patients with UI. …”
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COMPARATIVE EVALUATION OF THE FREQUENCY OF RISK FACTORS FOR THE DEVELOPMENT OF CORONARY HEART DISEASE AND ARTERIAL HYPERTENSION IN MINERS WITH ANTHRACOSILICOSIS by Николай Иванович Панев, Наталья Александровна Евсеева

“…The aim of the research was to study the frequency and identify the most significant cardiovascular risk factors in patients with anthracosilicosis in combination with arterial hypertension and coronary heart disease. Materials and methods. The study involved 269 workers of the main professions of coal mines (drifters, stope miners, mining machine operators): 139 miners with a previously proven diagnosis of anthracosilicosis, 130 miners of the control group (workers with long-term labor experience without lung pathology and occupational diseases). …”
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A Polar-Coded PAPR Reduction Scheme Based On Hybrid Index Modulation by Si-Yu Zhang, Xinwei Yue, Behnam Shahrrava, Yuexia Zhang, Gongpu Wang

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Mineral identification in thin sections using a lightweight and attention mechanism by Xin Zhang, Wei Dang, Jun Liu, Zijuan Yin, Guichao Du, Yawen He, Yankai Xue

“…Mineral identification is foundational to geological survey research, mineral resource exploration, and mining engineering. Considering the diversity of mineral types and the challenge of achieving high recognition accuracy for similar features, this study introduces a mineral detection method based on YOLOv8-SBI. …”
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The content of heavy metals in the aerial parts of the common nettle and sun spurge from Oštrelj (municipality of Bor): A contribution to the examinations of plant biomonitoring an... by Zoran O. Stevanović, Slađana Č. Alagić, Snežana B. Tošić

“…The most abundant detected metal in both plant species was Cu, with the notification that its concentrations reached even phytotoxic levels. …”
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A spatial slip plane-based vegetation model for slope reinforcement and shallow landslide mitigation by I.G. Tejakusuma, E.H. Sittadewi, A. Mulyono, T. Handayani, A. Tohari, H.E.H. Fatahillah, Z. Zakaria, E.B. Budiman, N. Utami

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Using the aeromagnetic data for mapping the basement depth and contact locations, at southern part of Tihamah region, western Yemen by Marwan A. Al-Badani, Yahia M. Al-Wathaf

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Recombinant human growth hormone and brain neoplasm association: a pharmacovigilance and Mendelian randomization analysis based on US FAERS, Japanese JADER, and Canadian CVARD by Li Huang, Mei Zhang, Fang Li, Yinpeng Xu

“…Disproportionality analysis methods, including the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), and Information Component (IC), were used to detect pharmacovigilance signals. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…We develop a probabilistic representation learning method to automatically divide a large-scale elderly population into distinct health management communities by leveraging shared health conditions, treatment preferences, and behavioral tendencies. …”
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Statistical analyses of precious metal contents in waste incineration bottom ashes by Monika Chuchro, Radosław Jędrusiak, Barbara Bielowicz

“…Data analysis was performed following the CRISP-DM methodology using statistical and data mining methods. The analyzes confirmed a higher Ag concentration than in comparable European waste incinerator plants. …”
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The Sensing Selectivity of Gas Sensors Based on Different Sn-Doped Indium Oxide Films by Haoran Sheng, Haoyu Li, Yujie Huang, Bochao Zhang, Jiarui Liang, Xinze Zhou, Yuan Tian, Qiang Li

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Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems by Ting Fu, Joshua Stipancic, Sohail Zangenehpour, Luis Miranda-Moreno, Nicolas Saunier

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PubMed captures more fine-grained bibliographic data on scientific commentary than Web of Science: a comparative analysis by Kai Zhang, Shuang Wang, Jian Du

“…Additionally, commented papers in both sources exhibit superior network centrality metrics compared with WoS-only counterparts.Conclusion Considering the impact and controversy of commented works, the accuracy of comments and the depth of network interactions, PubMed potentially serves as a valuable resource in evidence appraisal and detection of controversial issues compared with WoS.…”
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