A Novel Audio Copy Move Forgery Detection Method With Classification of Graph-Based Representations by Beste Ustubioglu, Gul Tahaoglu, Arda Ustubioglu, Guzin Ulutas, Muhammed Kilic

“…A swarm-based optimization approach is used to adaptively determine this dense region. The audio is then a bandpass filtered using the identified frequency range, and the second stage begins. …”
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Evaluating the potential of Nature-based solutions to mitigate land use and climate change impacts on the hydrology of the Gefersa and Legedadi watersheds in Ethiopia by Yared Bayissa, Raghavan Srinivasan, Johannes Hunink, Douglas Nyolei, Semu Moges, David de Andrade Costa, Dereje Tadesse, Assefa Melesse, Seifu Tilahun

“…The approach followed in this study can be adapted to other watersheds with access to more recent and good quality datasets for future research.…”
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Impact of climate warming on vegetation cover: positive effects of native artiodactyla vs. grazing pressure in Alborz Protected Area by Farid Salmanpour, Zahra Shakoori, Zahra Shakoori, Mostafa Keshtkar, Mehdi Kia, Romina Sayahnia

“…In contrast, Zānoos showed more fluctuation in vegetation trends due to high livestock grazing pressure.DiscussionThis study highlights that while climate warming can positively affect vegetation cover, intensive livestock grazing can impede these gains, underlining the importance of adaptive management strategies for maintaining ecosystem health.…”
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Near-infrared spectroscopy and accelerated ageing in evaluating the vigour of lentil seeds by Marcelo Augusto Rocha Limão, Denise Cunha Fernandes dos Santos Dias, Warley Marcos Nascimento, Bruno Gomes de Noronha, Júlia Martins Soares, Laércio Junio da Silva

“…The aim o f this study was to adapt the accelerated ageing test and evaluate the potential of FT-NIR spectroscopy for classifying lentil seeds based on physiological potential. …”
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Developing a semi-automated technique of surface water quality analysis using GEE and machine learning: A case study for Sundarbans by Sheikh Fahim Faysal Sowrav, Sujit Kumar Debsarma, Mohan Kumar Das, Khan Mohammad Ibtehal, Mahfujur Rahman, Noshin Tabassum Hridita, Atika Afia Broty, Muhammad Sajid Anam Hoque

“…The predictive framework leverages Google Earth Engine (GEE) and AutoML, utilizing deep learning libraries to create dynamic, adaptive models that enhance prediction accuracy. Comparative analyses showed that ML-based models effectively captured spatial and temporal variations, aligning closely with field measurements. …”
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Understanding Patient Needs for Quality Health Services at Primary Healthcare After the Covid-19 Pandemic by Sudirman Sudirman, Saiful Ambodale, Niluh Desy Purnama Sari, Subardin. AB, Ni Kadek Armini

“…This study also identifies potential areas for further research in the development and implementation of strategies to improve service quality in primary healthcare that can be widely adapted. Conclusion: The conclusion is the need for a responsive and patient-centered approach in the setting of equity or equity, timeliness, effectiveness and efficiency, and patient-centered care.…”
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A novel platform for engineered AAV-based vaccines by Sabrina Babutzka, Miranda Gehrke, Anastasia Papadopoulou, Maria Diedrichs-Möhring, Maria Giannaki, Lena Hennis, Bastian Föhr, Cale Kooyman, Andreas Osterman, Evangelia Yannaki, Gerhild Wildner, Hermann Ammer, Stylianos Michalakis

“…Capsid engineering can also be used to adapt the AAV technology for applications outside gene therapy. …”
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The Hydroalcoholic Extract Obtained from Mentha piperita L. Leaves Attenuates Oxidative Stress and Improves Survival in Lipopolysaccharide-Treated Macrophages by Mariana Oliveira Arruda, Saulo José Figueiredo Mendes, Simone Aparecida Teixeira, Ludmilla Santos Silva de Mesquita, Maria Nilce de Sousa Ribeiro, Stanley de Sousa Lima Galvão, Marcelo Nicolás Muscará, Elizabeth Soares Fernandes, Valério Monteiro-Neto

“…Macrophages are essential in bacterial infection control due to their antimicrobial functions and ability to link the innate and adaptive immune responses. We evaluated the effects of the peppermint leaf hydroalcoholic extract (LHAE) on cultured murine peritoneal macrophages stimulated or not with lipopolysaccharide (LPS) in vitro. …”
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Experimental approach to obtaining subcutaneous xenograft of non-small cell lung cancer by E. A. Lukbanova, M. V. Mindar, E. A. Dzhenkova, A. Yu. Maksimov, A. S. Goncharova, Yu. S. Shatova, A. A. Maslov, A. V. Shaposhnikov, E. V. Zaikina, Yu. N. Lazutin

“…Was was the creation of a Patient Derived Xenograft (PDX) model of non‑small cell lung cancer in immunodeficient mice adapted to growth in immunodeficient mice.Materials and methods. …”
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iTRAQ-Based Proteomic Analysis of Visual Cycle-Associated Proteins in RPE of rd12 Mice before and after RPE65 Gene Delivery by Qinxiang Zheng, Yueping Ren, Radouil Tzekov, Shanshan Hua, Minghan Li, Jijing Pang, Jia Qu, Wensheng Li

“…The level of RALBP-1 was still below the normal level after gene therapy in rd12 mice, which may explain the delayed dark adaption in LCA patients undergoing similar therapy.…”
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Theoretical finishing size limitation and failure mechanism of viscoelastic abrasive media on micro-hole structure by Baocai Zhang, Xiayu Wang, Neng Jiang, Jun Tang, Fanghong Sun, Xinchang Wang

“…This work could give a guidance on the determination of adaptable size range and longevity of abrasive media when finishing the micro-hole structures.…”
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Measuring Chinese negative emotion towards climate change: Psychometric properties of the Chinese version of Climate Change Anxiety Scale by Sam SS Lau, Kubi Appiah, Cherry CY Ho, Marco CH Cheng, Bo-Yi Yang

“…The CCAS was translated, back-translated, cross-culturally adapted and pilot-tested. We performed descriptive, scale reliability, exploratory factor and confirmatory factor analyses. …”
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BA-ATEMNet: Bayesian Learning and Multi-Head Self-Attention for Theoretical Denoising of Airborne Transient Electromagnetic Signals by Weijie Wang, Xuben Wang, Xiaodong Yu, Debiao Luo, Xinyue Liu, Kai Yang, Wen Yang, Xiaolan Yang, Ke Hu, Wenyi Hu

“…Moreover, the combination of Bayesian learning with a weighted integration of prior knowledge and SNR enhances the model’s performance across varying noise levels, thereby increasing its adaptability to complex noise environments. Our experimental findings indicate that BA-ATEMNet surpasses other denoising models in both single and multiple noise conditions, achieving an average signal-to-noise ratio of 37.21 dB in multiple noise scenarios. …”
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Assessment of Two School-Based Programs to Prevent Universal Eating Disorders: Media Literacy and Theatre-Based Methodology in Spanish Adolescent Boys and Girls by Marisol Mora, Eva Penelo, Teresa Gutiérrez, Paola Espinoza, Marcela L. González, Rosa M. Raich

“…The programs may be protective on the core psychological variables, which are essential to adaptive adolescent development.…”
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Inverse kinematics solution and control method of 6-degree-of-freedom manipulator based on deep reinforcement learning by Chengyi Zhao, Yimin Wei, Junfeng Xiao, Yong Sun, Dongxing Zhang, Qiuquan Guo, Jun Yang

“…Reinforcement learning algorithms have better adaptability to complex environments and can handle different sudden situations in different environments. …”
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DFF-ResNet: An Insect Pest Recognition Model Based on Residual Networks by Wenjie Liu, Guoqing Wu, Fuji Ren, Xin Kang

“…To prove the validity and adaptivity of our approach, we constructed it with two common residual networks (Pre-ResNet and Wide Residual Network (WRN)) and validated these models on the Canadian Institute For Advanced Research (CIFAR) and Street View House Number (SVHN) benchmark datasets. …”
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The impact of systematized physical activity on parameters of health-related physical fitness in schoolchildren aged 8 to 11 years by Marcelo José Resende Gonçalves, Camila Ramos Santos, Carla Cristiane Silva

“…The following tests were applied; the abdominal test to assess strength and muscle resistance; the Paccer to verify cardiorespiratory fitness; and the adapted sit-and-reach to evaluate flexibility. In addition, the Body Mass Index (BMI) and relative fat (%F) were assessed. …”
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Efficient and accurate methodologies for MCS-based probabilistic analysis of tunnel face stability by Bin Li, Yong-Kai Shen, Yuan-Sheng Lan

“…Backpropagation Neural Network (BP) is utilized to construct a regression metamodel to predict the safety factors of each sample; the samples that are predicted to be near the limit state will be further evaluated by an adaptive classification metamodel constructed by the combination of K-Nearest Neighbor (KNN) and Support Vector Machine (SVM). …”
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Noise Elimination for Wide Field Electromagnetic Data via Improved Dung Beetle Optimized Gated Recurrent Unit by Zhongyuan Liu, Xian Zhang, Diquan Li, Shupeng Liu, Ke Cao

“…Firstly, Spatial Pyramid Matching (SPM) chaotic mapping, variable spiral strategy, Levy flight mechanism, and adaptive T-distribution variation perturbation strategy were utilized to enhance the DBO algorithm. …”
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Developing a Fire Monitoring System Based on MQTT, ESP-NOW, and a REM in Industrial Environments by Miracle Udurume, Taewoong Hwang, Raihan Uddin, Toufiq Aziz, Insoo Koo

“…Future work will focus on enhancing the anomaly detection model for greater accuracy, expanding scalability through additional communication protocols, like LoRaWAN, and incorporating adaptive algorithms for real-time network optimization.…”
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