Implementasi Sistem Administrasi di Unit Pelaksana Teknis Pusat Pengembangan Publikasi Ilmiah Dosen Universitas Semarang berbasis Website by Muhamamd Surya Jati Pradana, Aria Hendrawan, B.Very Christioko, Agusta Praba Ristadi Pinem

“…The management and archiving activities of journal letters in P3ID are still done by manual means, which allows for errors in the recording of letters especially when the letters archived in large numbers. …”
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Data-driven modeling approaches for pressure drop prediction in a multi-phase flow system by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. AL-Dogai

“…Traditional models often need help with the complexities of multi-phase flow dynamics, resulting in high relative errors, particularly under varying flow regimes. In this study, we simulate a comprehensive multiphase flow experimental data collected from the lab. …”
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ODD-Net: a hybrid deep learning architecture for image dehazing by C. S. Asha, Abu Bakr Siddiq, Razeem Akthar, M. Ragesh Rajan, Shilpa Suresh

“…This degradation in image quality can adversely affect various applications, including autonomous driving, object detection, and surveillance, where poor visibility may lead to navigation errors and obscure crucial details. Existing dehazing techniques face several challenges: spatial methods tend to be computationally heavy, transform methods often fall short in quality, hybrid methods can be intricate and demanding, and deep learning methods require extensive datasets and computational power. …”
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FEATURES OF THE INFLUENCE OF LOW LEVELS OF ALCOHOL INTOXICATION ON THE FUNCTIONS OF THE HUMAN BRAIN by Borys V. Mykhailychenko, Andrii M. Biliakov, Alina O. Pletenetska

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KAN-Based Tool Wear Modeling with Adaptive Complexity and Symbolic Interpretability in CNC Turning Processes by Zhongyuan Che, Chong Peng, Jikun Wang, Rui Zhang, Chi Wang, Xinyu Sun

“…To evaluate the performance of KANs, this research systematically compares prediction errors, topological evolutions, and mathematical interpretations of derived symbolic formulas. …”
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A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

“…Finite element method modeling and analysis revealed that common structural geometric errors significantly introduce the 1st harmonic. By integrating a rectangular pulse function into the mass distribution function to simulate etching grooves, spectral analysis revealed that groove depth and width determine the amplitude and gradient of introduced harmonics. …”
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INFLUENCE OF MONETARY POLICY INSTRUMENTS AND INDICATORS ON DYNAMICS OF FINANCING INNOVATION: EMPIRICAL EVIDENCE by Anargul Belgibayeva, Anastasiia Samoilikova, Tetiana Vasylieva, Serhiy Lieonov

“…The methods of regression (linear regression model with panel-corrected standard errors) and correlation analysis (calculating Pearson and Spearman coefficients) were applied to identify a relationship between monetary instruments and indicators and indicator of financing innovation, confirm the hypothesis about the impact of the monetary instruments and indicators on the financing innovation and formalize this effect. …”
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Theoretical and Experimental Investigation of Critical Buckling Load of Combined Columns by Hayder Zuhair Zainy, Aziz D. Almawash, Saddam K. Al-Raheem, Luay S. Al-Ansari, Mohammed Al-Edhari

“…The work done in this research is dedicated to compute the critical buckling load of combined columns. …”
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Gestures in Language Instruction: Bridging The Gap for Effective Correction and Learning by Nirwanto Maruf, Dahlia Husain, Sri Mujayanah, Ella Aprilia Tiana, Kusumo Hadi Santoso

“…The results reveal that the use of gestures significantly enhances the visibility and impact of corrective feedback, making linguistic errors more noticeable and facilitating better understanding and retention compared to traditional verbal feedback methods. …”
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Application of Deep Learning to the Classification of Stokes Profiles: From the Quiet Sun to Sunspots by Ryan J. Campbell, M. Mathioudakis, Carlos Quintero Noda, P. H. Keys, D. Orozco Suárez

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Thymines opposite to bulky aristolactam-DNA adducts in duplex DNA are not targeted by human thymine-DNA glycosylase by Diana Manapkyzy, Gulzhan Zhamanbayeva, Viktoriya Sidorenko, Radha Bonala, Francis Johnson, Bakhyt T. Matkarimov, Dmitry Zharkov, Murat K. Saparbaev, Sabira Taipakova

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562 Mapping and navigating translational resources with generative AI by Jonathan Gelfond, Meredith Zozus, Martin Goros, Jennifer Potter, Kimberly K. Summers, Susanne Schmidt, Stephanie Rowan, Laura Aubree Shay

“…Objectives/Goals: Translational researchers often struggle to navigate a complex constellation of institutional resources spanning the IRB to bioinformatics units. …”
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The Aboveground Biomass Estimation of the Grain for Green Program Stands Using UAV-LiDAR and Sentinel-2 Data by Gaoke Yueliang, Gentana Ge, Xiaosong Li, Cuicui Ji, Tiancan Wang, Tong Shen, Yubo Zhi, Chaochao Chen, Licheng Zhao

“…However, due to the dominance of sparse forests in GGP stands, research in this area remains significantly limited. …”
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A review of UK publicly funded non-inferiority trials: is the design more inferior than it should be? by Nikki Totton, Steven Julious, Stephen Walters, Elizabeth Coates

“…Trial registration Research on Research ID: 3171 (registration date: 31st May 2023).…”
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Sustainability index analysis of organic fertilizer production from paunch manure and rice straw waste by A.D. Santoso, F.D. Arianti, E.S. Rohaeni, B. Haryanto, M.D. Pertiwi, L.P. Panggabean, A. Prabowo, S. Sundari, S.P. Wijayanti, I.N. Djarot, F.D. Kurniawati, F.L. Sahwan, T. Prasetyo, A. Barkah, T.A. Adibroto, R. Ridlo, I. Febijanto, A.A. Wasil, S. Lusiana, R. Rosmeika, R.B. Heryanto

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Explainable Artificial Intelligence to Predict the Water Status of Cotton (<i>Gossypium hirsutum</i> L., 1763) from Sentinel-2 Images in the Mediterranean Area by Simone Pietro Garofalo, Anna Francesca Modugno, Gabriele De Carolis, Nicola Sanitate, Mesele Negash Tesemma, Giuseppe Scarascia-Mugnozza, Yitagesu Tekle Tegegne, Pasquale Campi

“…The models’ performance was assessed using R² and root mean square error (RMSE). Feature importance was analyzed using permutation importance and SHAP methods. …”
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Numerical Simulation and Experimental Study on the Dust Separation Performance of the Dust Removal Apparatus in Straw Feed Harvesters by Ziqing Xiao, Haiqing Tian, Daqian Wan, Chunxiang Zhuo, Kai Zhao, Yang Yu

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An optimization method for hemi-diaphragm measurement of dynamic chest X-ray radiography during respiration based on graphics and diaphragm motion consistency criterion by Yingjian Yang, Jie Zheng, Peng Guo, Tianqi Wu, Qi Gao, Yong Li, Chengcheng Liu, Yang Liu, Yingwei Guo, Huai Chen

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Experimental Demonstration of RGB LED-Based Optical Camera Communications by Pengfei Luo, Min Zhang, Zabih Ghassemlooy, Hoa Le Minh, Hsin-Mu Tsai, Xuan Tang, Lih Chieh Png, Dahai Han

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Optimizing WEDM Parameters Using Swarm Intelligence: A Multi‐Objective Approach to Improve Machinability and Cost‐Efficiency by Abhijit Bhowmik, Raman Kumar, Nikunj Rachchh, T. Ramachandran, A. Karthikeyan, Rahul Singh, Deepak Gupta, Dhirendra Nath Thatoi, Bhavik Jain, A. Johnson Santhosh

“…With a mean prediction error of < 1%, the PSO model proves highly accurate and reliable. …”
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