A Novel Hybrid Steganography Approach for Securing Text, Images, and Audio with Robust Encryption in Audio Steganography by srinivasa padmaja, Shaik Mahaboob Basha

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Child Psychiatry Engagement in the Management of Delirium in Critically Ill Children by Sean S. Barnes, Marco A. Grados, Sapna R. Kudchadkar

“…To characterize the engagement of child psychiatry by pediatric intensivists in cases of suspected delirium in a pediatric intensive care unit (PICU) prior to implementation of a delirium management algorithm with regards to recommendations, antipsychotic prescribing, and follow-up after PICU discharge. …”
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First aid for generalized seizures: modern approaches and opportunities for improvement by А. А. Birkun, L. I. Dezhurny

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An Enhanced Distribution System Performance with Optimization Techniques for Location of Electrical Vehicle Charging Stations by Sainadh Singh Kshatri, Venkata Anjani Kumar G, Chilakapati Lenin Babu, Palepu Suresh Babu

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Prognostic and immunological implications of cathepsin Z overexpression in prostate cancer by Junyue Tao, Junyue Tao, Junyue Tao, Yiding Chen, Yiding Chen, Yiding Chen, Xiaokang Bian, Xiaokang Bian, Xiaokang Bian, Tingting Cai, Tingting Cai, Tingting Cai, Changhao Song, Changhao Song, Changhao Song, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Jialing Meng, Jialing Meng, Jialing Meng, Qintao Ge, Qintao Ge, Jun Zhou, Jun Zhou, Jun Zhou

“…Survival analyses across multiple cohorts indicate that high CTSZ expression predicts shorter progression-free survival and overall survival. …”
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Thermal behavior of magnetized blood–CMS hybrid nanofluid with SWCNT and MWCNT suspensions: Prabhakar fractional model by Urwa Shehbaz, Sami Ullah Khan, Aboulbaba Eladeb, Nermeen Abdullah, Chemseddine Maatki, Lioua Kolsi

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Using data science to diagnose and characterize heterogeneity of Alzheimer's disease by Ting F.A. Ang, Ning An, Huitong Ding, Sherral Devine, Sanford H. Auerbach, Joseph Massaro, Prajakta Joshi, Xue Liu, Yulin Liu, Elizabeth Mahon, Rhoda Au, Honghuang Lin

“…Abstract Introduction Despite the availability of age‐ and education‐adjusted standardized scores for most neuropsychological tests, there is a lack of objective rules in how to interpret multiple concurrent neuropsychological test scores that characterize the heterogeneity of Alzheimer's disease. …”
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ggClusterNet 2: An R package for microbial co‐occurrence networks and associated indicator correlation patterns by Tao Wen, Yong‐Xin Liu, Lanlan Liu, Guoqing Niu, Zhexu Ding, Xinyang Teng, Jie Ma, Ying Liu, Shengdie Yang, Penghao Xie, Tianjiao Zhang, Lei Wang, Zhanyuan Lu, Qirong Shen, Jun Yuan

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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…These findings will inform development of a web-based algorithm to predict attrition risk and aid in targeted follow-up efforts in similar studies.…”
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Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement by Yujie Lu, Bo Liu, Wei Wei, Bo Xiao, Zhangding Liu, Wensheng Li

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Penerapan Metode K-Medoids untuk Pengelompokan Mahasiswa Berpotensi Drop Out by Syamsul Bahri, Dwi Marisa Midyanti

“…Universities can make policies to minimize the number of students dropping out by identifying students at risk in the early stages of education. Dropout students can be predicted through several processes of obtaining patterns or knowledge from data sets called data mining. …”
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A Finite-Time Disturbance Observer-Based Control for Constrained Second-Order Dynamical Systems and Its Application to the Attitude Tracking of a UAV by Nguyen Xuan Mung, Nguyen Huu Tiep, Loan Thi Kim Au, Nguyen Ngoc Anh, Xuan Nguyen, Nguyen Phi

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Unmanned aerial vehicle hierarchical detection of leaf blast in rice crops based on a specific spectral vegetation index by Guangming LI, Dongxue ZHAO, Jinpeng LI, Shuai FENG, Chunling CHEN

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Mental Fatigue Has Great Impact on the Fractal Dimension of Brain Functional Network by Gang Li, Yanting Xu, Yonghua Jiang, Weidong Jiao, Wanxiu Xu, Jianhua Zhang

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Gesture Decoding Using ECoG Signals from Human Sensorimotor Cortex: A Pilot Study by Yue Li, Shaomin Zhang, Yile Jin, Bangyu Cai, Marco Controzzi, Junming Zhu, Jianmin Zhang, Xiaoxiang Zheng

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Diagnosis and Treatment of Giant Intrathoracic Tumors by V. D. Parshin, I. M. Koroleva, A. V. Parshin, M. A. Mischenko, V. V. Parshin, A. V. Ponasenko

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Fast Analysis of Multi-Layered Anisotropic Electromagnetic Propagation Based on Z-Transform Finite-Difference Time-Domain Method with Scale-Compressed Technique by Yuxian Zhang, Yilin Kang, Xiaoli Feng, Lixia Yang, Zhixiang Huang

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Stereo vision based broccoli recognition and attitude estimation method for field harvesting by Zhenni He, Fahui Yuan, Yansuo Zhou, Bingbo Cui, Yong He, Yufei Liu

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Low-intensity behavioral activation smartphone app to support low mood: description, engagement and log data analysis by Paul Farrand, Patrick J. Raue, Earlise Ward, Sandra Healey, Jonathan Baker

“…Despite these levels of engagement, however, engagement did not predict changes in scores for either the PHQ-8 [F(2,62) = 2.71; p > 0.05] or GAD-7 [F(2,62) = 0.59; p > 0.05]. …”
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Removal of LiDAR Negative Outliers Based on Retroreflective Surface by Haolong Gao, Shaobo Li, Zhouyi Kang, Fan Zhang, Yi Zhang, Yunlong Wu

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