Influence of the Feed Moisture, Rotor Speed, and Blades Gap on the Performances of a Biomass Pulverization Technology by Siyi Luo, Yangmin Zhou, Chuijie Yi, Yin Luo, Jie Fu

“…In this paper, further detailed studies of this technology were carried out. The effects of feed moisture and crusher operational parameters (rotor speed and blades gap) on product particle size distribution and energy consumption were investigated. …”
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Concomitant Deep Venous Thrombosis, Femoral Artery Thrombosis, and Pulmonary Embolism after Air Travel by Salim Abunnaja, Marshall Clyde, Andrea Cuviello, Robert A. Brenes, Giuseppe Tripodi

“…The association between air travel and deep venous thrombosis and/or pulmonary embolism “economy-class syndrome” is well described. …”
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Enhancing global model accuracy in federated learning with deep neuro-fuzzy clustering cyclic algorithm by Chin-Feng Lai, Ying-Hsun Lai, Ming-Chin Kao, Mu-Yen Chen

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Integration and Fusion of Geologic Hazard Data under Deep Learning and Big Data Analysis Technology by Feng He, Chunxue Liu, Hongjiang Liu

“…To discuss the analysis and evaluation of highway landslides, the application of data mining methods combined with deep learning frameworks in geologic hazard evaluation and monitoring is explored preliminarily. …”
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Artificial Hummingbird Optimization Algorithm With Hierarchical Deep Learning for Traffic Management in Intelligent Transportation Systems by Abdulrahman Alruban, Hanan Abdullah Mengash, Majdy M. Eltahir, Nabil Sharaf Almalki, Ahmed Mahmud, Mohammed Assiri

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Effect of Feed Restriction during Pregnancy on Performance and Productivity of New Zealand White Rabbit Does by Abeer Nafeaa, Souad Abd Elfattah Ahmed, Said Fat Hallah

“…This study aimed to evaluate effect of stage of feed restriction on performance and productivity of pregnant does. …”
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Quantitative Proteomics Analysis Reveals XDH Related with Ovarian Oxidative Stress Involved in Broodiness of Geese by Ning Zhou, Yaoyao Zhang, Youluan Jiang, Wang Gu, Shuai Zhao, Wanwipa Vongsangnak, Yang Zhang, Qi Xu, Yu Zhang

“…Studies have demonstrated significant alterations in ovarian oxidative stress levels, ovarian degeneration, and follicular atresia during the broody period in geese. The results of this study showed that during the broody period, geese exhibited degraded ovarian tissues, disrupted follicular development, a thinner granulosa cell layer, and lower levels of ovarian hormones E2, P4, and AMH. …”
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Faunistic results from the 2nd Balkan OdonatOlogical Meeting – BOOM 2012, Serbia by Saša Rajkov, Damjan Vinko, Andrea Aranđelović

“… As a part of the Balkan odonatological cooperation, the 2nd Balkan OdonatOlogical Meeting (BOOM 2012) was held in Vojvodina (Serbia). …”
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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models by Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano

“…., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. …”
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Chrysanthemum classification method integrating deep visual features from both the front and back sides by Yifan Chen, Xichen Yang, Hui Yan, Hui Yan, Jia Liu, Jian Jiang, Zhongyuan Mao, Tianshu Wang, Tianshu Wang

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Thyroid-Induced Worsening of Parkinsonian Tremor Resistant to Drugs and Subthalamic Nucleus Deep Brain Stimulation by Michal Minár, Peter Valkovič

“…We report on a patient whose parkinsonian tremor worsened and proved refractory not only to common treatment, but also to deep brain stimulation (DBS). Case Presentation. …”
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Evaluation of corn steep powder as a protein source for feed of Nile tilapia Oreochromis niloticus by Dodi Hermawan, Muhammad Agus Suprayudi, Dedi Jusadi, Alimuddin Alimuddin, Julie Ekasari

“… This study was aimed to evaluate the use of corn steep powder (CSP) as a plant protein source in Oreochromis niloticus diet. A commercial feed with 28% protein content and 368 kcal/g energy was used as reference diet, while the test feed consisting of various CSP content, namely 0%, 10%, 20%, and 30% and feed containing soybean meal (SBM) at the level of 20% and 30%. …”
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MyPlate Nutrition Education Series: Men’s Health: Get the Facts to Feel and Look Better by Linda B. Bobrof

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Dynamic changes in betanin content during the growing season of table beet: their interplay with abiotic factors by D. V. Sokolova

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Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition. by Pranjul Gupta, Katharina Dobs

“…The human visual system possesses a remarkable ability to detect and process faces across diverse contexts, including the phenomenon of face pareidolia--seeing faces in inanimate objects. Despite extensive research, it remains unclear why the visual system employs such broadly tuned face detection capabilities. …”
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Improved Estimation of Aboveground Biomass in Rubber Plantations Using Deep Learning on UAV Multispectral Imagery by Hongjian Tan, Weili Kou, Weiheng Xu, Leiguang Wang, Huan Wang, Ning Lu

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Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. …”
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Effect of fattening length, sex and feather colour on growth and fattening performance in native turkish geese by Mustafa Saatçi, Cavit Arslan, Yücel Ünal, Muammer Tilki, Ali Rıza Aksoy

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Liquid-based cytological diagnosis of pancreatic neuroendocrine tumors using hyperspectral imaging and deep learning by Taojing Ran, Wei Huang, Xianzheng Qin, Xingran Xie, Yingjiao Deng, Yundi Pan, Yao Zhang, Ling Zhang, Lili Gao, Minmin Zhang, Dong Wang, Yan Wang, Qingli Li, Chunhua Zhou, Duowu Zou

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Comparison of deep transfer learning models for classification of cervical cancer from pap smear images by Harmanpreet Kaur, Reecha Sharma, Jagroop Kaur

Subjects: “…Deep learning…”
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