A novel method for soil organic carbon prediction using integrated ‘ground-air-space’ multimodal remote sensing data by Yilin Bao, Xiangtian Meng, Huanjun Liu, Mengyuan Xu, Mingchang Wang

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Double-tap to disordered eating: the effect of social media influencers on Palestinian female university students: a mixed-method study by Ola Anabtawi, Alma Irshaid, Haya Ayoub, Faisal Saleh

“…IntroductionThe goal of this study is to explore how using social media and content from influencers affects disordered eating symptoms among female university students.MethodsThis was done using a combination of a purpose-built online survey (with 1,121 participants) and a qualitative content analysis of the social media influencers in beauty, health, and lifestyle that the participants follow the most.ResultsThe findings revealed that 65.3% of the sample spends more than three hours per day on social media networking sites; additionally, the majority reported that they use social media as a source of reliable information, and half reported that they are influenced by social media influencers. …”
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Colorimetric Method Based on Cerium Dioxide/Iron Oxyhydroxide Nanozyme for Rapid Detection of Hydrogen Peroxide in Chicken Feet with Pickled Pepper by YUE Xiaoyue, YAN Shuliang, FU Long, ZHAO Dianbo

“…The recoveries for spiked samples ranged from 90.59% to 93.42% with relative standard deviations (RSDs) not more than 4.25%. …”
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The Analysis of Anterior Facial Dimensions Among the Sample of Kurdish Population by Bayad Jaza Mahmood, Mohammed Abdalla Mahmood, Kardo Mustafa Abdalkarim, Kanar Abdaladhim Hamaamin, Omar Ali Hama Qadr, Zhyar Falah Sabr

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A Low Computational Cost Method for Mobile Malware Detection Using Transfer Learning and Familial Classification Using Topic Modelling by Saket Acharya, Umashankar Rawat, Roheet Bhatnagar

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A Dense Bootstrap Contrastive Learning Method With 3-D Dynamic Convolution for Few-Shot PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Xiuya Dong, Jubo Zhu

“…Existing deep learning methods not only rely on large amounts of labeled samples but also often face limitations in classification accuracy when handling multiinstance PolSAR image classification tasks. …”
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Identification and Differentiation of Polygonum multiflorum Radix and Polygoni multiflori Radix Preaparata through the Quantitative Analysis of Multicomponents by the Single-Marker... by Ding-Qiang Luo, Pu Jia, Shan-Shan Zhao, Ye Zhao, Hai-Jing Liu, Feng Wei, Shuang-Cheng Ma

“…The F value of the qualified Radix Polygonum multiflorum should be no more than 0.6. However, the influence of different sample injection volumes and the chromatographic columns and instruments used on the durability of the correction factors and RSD ≤3% hindered accurate identification; therefore, a QAMS method using an external standard value with methodological verification was developed. …”
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A Statistical Optimization Method for Sound Speed Profiles Inversion in the South China Sea Based on Acoustic Stability Pre-Clustering by Zixuan Zhang, Ke Qu, Zhanglong Li

“…Disturbance mode principal component analysis is first used to extract characteristic parameters, and then a machine learning clustering algorithm is adopted to pre-classify SSP samples according to acoustic stability. The SSP inversion experimental results show that: (1) the SSP samples of the South China Sea can be divided into three clusters of disturbance modes with statistically significant differences. (2) The regression inversion method based on cluster attribution reduces the average error of SSP inversion for data from 2018 to 1.24 m/s, which is more than 50% lower than what can be achieved with the traditional method without pre-clustering. (3) Transmission loss prediction verification shows that the proposed method can produce highly accurate sound field calculations in environmental assessment tasks. …”
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A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…However, limited by the cost and conditions of ISAR image acquisition, it is relatively difficult to obtain large-scale sample data, which makes it difficult to obtain target deep features with good discriminability by using the currently popular deep learning method. …”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

“…However, the existing manifold learning methods cannot effectively solve the problem of lacking label information and ignore the negative impact of dimensionality reduction on sample division. …”
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Enhancing health risk assessment for soil heavy metal (loid)s using a copula-based monte carlo simulation method by Xiaohui Wang, Feng Xu, Yanjin Gui, Yafeng Liu

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Anabolic-androgenic steroid testing as a tool for consumer engagement and harm reduction: a sequential explanatory mixed-method study by Timothy Piatkowski, Ross Coomber, Cameron Francis, Emma Kill, Geoff Davey, Sarah Cresswell, Alan White, Madeline Harding, Karen Blakey, Steph Reeve, Brooke Walters, Cheneal Puljević, Jason Ferris, Monica J. Barratt

“…It aims to evaluate the impact of enhanced testing and feedback on consumer behaviour and harm reduction. Methods This is a sequential explanatory mixed-methods study incorporating chemical analysis of community-submitted AAS samples and interviews with participants. …”
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How Rich is Platelet Rich Plasma? A Simple Preparation Method of PRP and Its Quality According to Various Classification Systems by Felice FAIZAL, Balachandra NAMBIAR, Raja CHATTERJEE, Praveer RANJAN

“…Platelet count was estimated in this sample as done with the whole blood sample. The results were compared and analysed using statistical methods to determine the efficacy of concentrating platelets by this method. …”
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Development of a method for quantitative determination of nitric oxide (NO) in rat tissues based on high-performance liquid chromatography and mass spectrometry by N. S. Popov, D. A. Gavrilenko, M. S. Baranov, V. Yu. Balabanyan

“…The developed a bioanalytical method was validated according to the following parameters: a selectivity, a matrix effect, a recovery degree, a sample transfer, an analytical range linearity, a lower limit of quantification (LLOQ), an intra- and inter-assay accuracy and precision, and a stability at all the stages of the analysis. …”
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Comparison of Artificial Intelligence-based learning with the traditional method in the diagnosis of COVID-19 chest radiographs among postgraduate radiology residents by Ayesha Isani Majeed

“…CONCLUSION: AI approach proves significantly more time and cost efficient compared to traditional teaching methods in enhancing the ability of radiology residents. …”
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Screening for More than 1,000 Pesticides and Environmental Contaminants in Cannabis by GC/Q-TOF by Philip L. Wylie, Jessica Westland, Mei Wang, Mohamed M. Radwan, Chandrani G. Majumdar, Mahmoud A. ElSohly

“… A method has been developed to screen cannabis extracts for more than 1,000 pesticides and environmental pollutants using a gas chromatograph coupled to a high-resolution accurate mass quadrupole time-of-flight mass spectrometer (GC/Q-TOF). …”
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Health risk assessment from habitants of Araró, Michoacán, México, exposed to arsenic by dust, using Monte Carlo probabilistic method by José Leopoldo Mendoza-Lagunas, Alejandra Damayanti Aguilar-Espinosa, Laura Nelly Rodríguez-Cantú, Roberto Guerra-González, Diana María Meza-Figueroa, María Mercedes Meza-Montenegro, Marco A. Martínez-Cinco

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A Cement Bond Quality Prediction Method Based on a Wide and Deep Neural Network Incorporating Embedded Domain Knowledge by Rengguang Liu, Jiawei Yu, Luo Liu, Zheng Wang, Shiming Zhou, Zhaopeng Zhu

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Effect of Synthesis Method and Nickel-Copper Loading on Ni-Cu-Al Catalysts for Production of Hydrogen Via Ethanol Steam Reforming by Abdullah Irankhah, Sepideh Ghafoori, Atieh Ranjbar

“…In the present work, the effect of synthesis method (simultaneous impregnation and coprecipitation) and copper to nickel active phases loading were investigated in Ni-Cu-Al catalysts. …”
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Twig age 2.0: A novel and reliable method to track variation in ungulate browsing over species, sites and time by Donald M. Waller

“…Exclosures confirm that twig ages respond sensitively and rapidly to deer browsing with more power than methods based on seedling/sapling size. …”
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