Induction of reproduction of fish Anasa Nomorhampus sp. endemic Palu, Central Sulawesi orally through hormon bioencapsulation use Chironomus sp. by Dinda Wahyu Rezki, Agus Oman Sudrajat, Dinar Tri Soelistyowati, Odang Carman

“…This research focuses on assessing specific weight growth rate (LPBS), specific length growth rate (LPPS), survival rate (TKH), gonadosomatic index (IGS), gonadal histology, birth frequency, number of births, and growth performance. …”
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Failure Mode- and Time-Dependent Reliability Model of Tunnel Lining Structure Under Extremely High Ground Stress by Tao Peng, Dongxing Ren, Fanmin He, Binjia Li, Fei Wu, Shijie Xu

“…The plastic zone and the distribution of the surrounding rock stress field throughout the excavation process were simulated, elucidating the relationship between vault displacement and stress release rate. The time-varying reliability model is employed to assess lining behavior under extremely high ground stress and to establish the patterns governing its service life. …”
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MF-ShipNet: a multi-feature weighted fusion and PCA-SVM model for ship detection in remote sensing images by Jianfeng Li, Yibing Yang, Liutong Yang, Yang Zhao, Qinghua Luo, Chenxu Wang

“…Due to the complex sea background and the different sizes and shapes of ships, the detection of ship targets has the problems of low detection rate, high false detection rate and high missed detection rate. …”
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A Study on the Hydrodynamic Excitation Characteristics of Pump and Pipeline Systems Considering the Weakly Compressible Fluid During the Pump Start-Up Condition by Yonggang Lu, Mengjiao Min, Wei Song, Yun Zhao, Zhengwei Wang

“…The results indicate that, during the initial start-up phase, the internal flow state of the pump is complex, with significant vortices and pressure fluctuations. As the flow rate and rotational speed increase, the flow gradually stabilizes. …”
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Growth and Mortality Models of Mozambique Tilapia (Oreochromis mossambicus; Peters, 1852) Wildly Enter Inside the Fish Farming Ponds in Tarakan City, North Kalimantan by Gazali Salim, Mujiyanto Mujiyanto, Yayuk Sugianti, Suryanti Suryanti, Zahidah Zahidah, Daud Nawir, Sitti Hartinah, Nurjanah Nurjanah, Rose Dewi, Rama Iranda, Mochamad Candra Wirawan Arief, Masayu Rahmia Anwar Putri, Abdur Rahman, Agus Indarjo, Julian Ransangan, Ariel E San Jose, Rozi Rozi

“…. • The exploitation rate of males and females is in the Under-exploitation category because the E value is <0.5. …”
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Analyzing RNA Localization Using the RNA Proximity Labeling Method OINC-seq by Megan Pockalny, Hei-Yong Lo, Raeann Goering, J. Taliaferro

“…The observed mutation rate for a given RNA species is therefore related to its proximity to the localized bait protein. …”
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Clutter Mitigation in Indoor Radar Sensors Using Sensor Fusion Technology by Srishti Singh, Ha-Neul Lee, Yuna Park, Sungho Kim, Si-Hyun Park, Jong-Ryul Yang

“…The results show that our approach improves the signal-to-noise ratio by 2 dB and increases the target detection rate by 8.6% within the critical 4–6 m range, with additional gains observed under constrained velocity conditions.…”
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Underwater acoustic classification across diverse sea environments using adaptive regularization and knowledge encoding by Muhammad Azeem Aslam, Muhammad Irfan, Xu Wei, Wang Jun, Hu Hongfei, Wang Shiyu, Xin Liu, Shahid Ali

“…Our method introduces an adaptive regularization technique for stable weight and learning rate updates. In addition, a robust knowledge encoding scheme is introduced to preserve and reuse learned features effectively. …”
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Optimization algorithm of CT image edge segmentation using improved convolution neural network. by Xiaojuan Wang, Yuntao Wei

“…To address the problem of high failure rate and low accuracy in computed tomography (CT) image edge segmentation, we proposed a CT sequence image edge segmentation optimization algorithm using improved convolution neural network. …”
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Seasonal Trends and Sociodemographic Influences on Long-Distance Trips - A Full Year of GPS Tracking Data from Munich by Nico Nachtigall, Miriam Magdolen, Markus Lienkamp

“…Long-distance trips are further analyzed in terms of their occurrence rate and modal share throughout the year. Furthermore, the influence of various sociodemographic characteristics and car ownership on long-distance travel is explored. …”
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Heat transfer test method development: Consideration for design and safety of household oven mitts by Adriana Petrova, Semra Peksoz, Aditya Jayadas

“… The purpose of this study was to develop a test method – an apparatus and a protocol for evaluating the rate of heat transfer across a sample of layered materials commonly used in oven mitts. …”
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Rational strategies for improving the efficiency of design and discovery of nanomedicines by Xiaoting Shan, Ying Cai, Binyu Zhu, Lingli Zhou, Xujie Sun, Xiaoxuan Xu, Qi Yin, Dangge Wang, Yaping Li

“…This transition facilitates the enhancement of efficiency in the preclinical discovery pipeline of nanomaterials, particularly in improving the hit rate of nanomaterials and the optimization efficiency of promising candidates. …”
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Exploring the diverse factors influencing healthcare utilization during the COVID-19 crisis by Bhumi Chaturvedi, Preeti Raj, Pratima Singh, Hemant Bareth, Anupama Sharma, Mahaveer Singh, Deepak Nathiya, Deepak Nathiya, Deepak Nathiya, Balvir Singh Tomar, Balvir Singh Tomar, Balvir Singh Tomar

“…The study analyzed healthcare utilization patterns during the first, second, and third waves of COVID-19, focusing on patient hospitalization duration across the three waves.ResultsThe hospitalization rate increased during the second wave compared to the first wave and subsequently declined in the third wave. …”
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Analysing LULC transformations using remote sensing data: insights from a multilayer perceptron neural network approach by Khadim Hussain, Kaleem Mehmood, Sun Yujun, Tariq Badshah, Shoaib Ahmad Anees, Fahad Shahzad, Nooruddin, Jamshid Ali, Muhammad Bilal

“…The MLP-NN model demonstrated impressive performance, with a skill measure of 0.8724 and an accuracy rate of 89.08%. The accuracy of the LULC estimates for 2022 was verified by comparing them with observed data, ensuring the model’s reliability. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Nonparametric inference has been used to measure the rate of different behaviors of the accuracy, time, and spatial complexity that are obtained among the partitions and the whole dataset. …”
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Numerical Simulation of Two-roller Rotary Rolling Piercing of a New Heat-resistant Alloy SP2215 Seamless Pipe by Liang　Kai, Yao　Zhihao, Xie　Xishan, Wang　Hongying, Cheng　Jian, Dai　Weixing, Dong　Jianxin

“…The study analyzed dynamic changes in metal flow， strain field， stress field， strain rate field， temperature field， and rolling force during the skew rolling process. …”
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Performance tracking in female youth soccer through wearables and subjective assessments by Stefan Kranzinger, Christina Kranzinger, Wolfgang Kremser, Burkhard Duemler

“…The aim of this study was to assess how subjective post-training ratings (intensity and happiness) relate to high-percentile performance outputs, and to identify longitudinal trends in female youth soccer players using IMU-based wearable data. …”
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Adaptive Quantum-Inspired Evolution for Denoising PCG Signals in Unseen Noise Conditions by Lubna Siddiqui, Ashish Mani, Jaspal Singh

“…The performance metrics utilised were Scale-Invariant Signal-to-Distortion Ratio (SI-SDR), Signal-to-Noise Ratio (SNR), Peak Signal-to-Noise Ratio (PSNR), Correlation Coefficient (CC) and Zero Crossing Rate (ZCR). The results demonstrate that the proposed algorithm achieved a 25% improvement in the SI-SDR metric in highly noisy environments for pathological PCG signals. …”
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Actual Temperature Evolution of Thick Raft Concrete Foundations and Cracking Risk Analysis by Yuwen Ju, Honggang Lei

“…The accuracy of the FEA was ensured by adopting the concrete heat generation rate obtained from the adiabatic temperature rise test. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…In recent days, facial emotion recognition techniques are considered important and critical due wide array of application domains use facial emotion as part of their workflow and analytics gathering. Reduced recognition rate, inefficient computation and increased time consumption are the major drawbacks of these techniques. …”
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