The Application Of Collaboration System-Based Learning In Overcoming Syntactic Interference In The Abstracts Of Teacher Professional Program Students by Khairun Niswa

“…The analysis showed that collaborative learning significantly reduced syntactic interference such as the absence of to be, the use of inverted phrase patterns, and passive sentence structure errors. In addition, it was found that this approach increased students' linguistic awareness of the fundamental differences between Indonesian and English syntax. …”
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Exploring the Medical Screening Process of Fire Officer 1 Applicants in the Bureau of Fire Protection in Region 5 by Dan Romulo Caceres, Manny Macabeo

“…The potential problems regarding medical requirements are errors in medical evaluation, the authenticity of medical results, and issues in acquiring clearances. …”
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Exact closed-form solution for the completely integrable helmholtz-duffing oscillator with applications to real-world problems by Akuro Big-Alabo, Peter B Alfred

“…It was found that the numerical differentiation method produced significant errors for some system inputs and cannot be relied on as a benchmark solution. …”
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Design and Application for Automatic Train Operation System Based on HX_D1 Locomotive by Yong XIAO, Long ZHU, Jun WU, Xin WANG, Jieliang ZHOU, Yongxin LIU

“…Through the successful application of the locomotive automatic system, the manual labor intensity was reduced, the human error factors were eliminated, and the locomotive operation level and consistency were improved.…”
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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence by Xueyan Ji, Shamsulariffin Bin Samsudin, Muhammad Zarif Bin Hassan, Noor Hamzani Farizan, Yubin Yuan, Wang Chen

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The Application of Retrograde Intrarenal Surgery to Remove a Single Large Kidney Stone During Pregnancy [Corrigendum] by Jongjitaree K, Taweemonkongsap T, Leewansangtong S, Srinualnad S, Chotikawanich E

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Application of response surface methodology to optimize the drying condition of black tea using superheated steam dryer by Rumaisa Nordin, Norazatul H. M. Rozall, Tajul A. Yang

“…The optimum drying conditions were achieved at 166.7oC and 21.2 minutes where the experimental values were in accordance with predicted values, with percentage errors (PE) less than 10%. Temperature (140oC – 180oC) was concluded to have the most significant effect and showed a positive direction in most responses. …”
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The Application of the Cardiff Count-to-Ten Method for Fetal Well-Being Assessment in Oligohydramnios: A Case Report by Eny Dewi Pamungkas, Agustin Dwi Rachma Nisa, Delli Nurilah Sari, Ranum Muntazia, Erna Puspita Sari

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A Systematic Literature Review on Large Language Models Applications in Computer Programming Teaching Evaluation Process by Andre Fabiano Pereira, Rafael Ferreira Mello

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A Bridge Structure 3D Representation for Deep Neural Network and Its Application in Frequency Estimation by Kejian Hu, Xiaoguang Wu

“…In addition, this study also developed a traditional shallow neural network for comparison. The application of 3D representation and 3D convolution could effectively reduce the prediction error. …”
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A Comparative Study of Ground-Based and Drone-Based GPR: Opportunities, Challenges, and Applications in Bromo, Indonesia by Jannah Afni Nur, Paramita Eksi Galih Kenya, Zukhrufah Syabibah Zakiyya, Rochman Juan Pandu Gya Nur, Azhali Firmansyah Maulana

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Research and application of unified cross-system data services for coal mines based on industrial internet platforms by WAN Maoquan, LI Hao, WANG Hao

“…Test results showed that, compared to the traditional distributed interface model, the proposed system optimized average data response time from 270 ms to 148 ms and improved data processing accuracy to 99.57%. Practical application results indicated that over 12,000 hours of continuous operation, the service availability reached 99.6%, and data consistency errors were below 0.1%.…”
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Application of seismic inversion in estimating reservoir petrophysical properties: Case study of Jay field of Niger Delta by Abbey Patrick Chukwuemeka, Chukwuemeka Patrick Abbey, Adetola Sunday Oniku, Emele Uduma Okpogo, Abraham Sunu Sebastian, Yusuf Mamman Dabari

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Approximation of Fractional Caputo Derivative of Variable Order and Variable Terminals with Application to Initial/Boundary Value Problems by Paulina Stempin, Wojciech Sumelka

“…We demonstrate the effect of the number of terms included in the series expansion on the solution accuracy and error analysis. The advantage of the method is its simplicity and ease of implementation. …”
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Bayesian and non-bayesian analysis for stress-strength model based on progressively first failure censoring with applications. by Salem A Alyami, Amal S Hassan, Ibrahim Elbatal, Olayan Albalawi, Mohammed Elgarhy, Ahmed R El-Saeed

“…Through the use of non-informative and gamma informative priors, the Bayes estimator of ϑ under squared error and linear exponential loss functions is produced. …”
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Wideband RCS Reduction of a Linear Patch Antenna Array Using AMC Metasurface for Stealth Applications by Baisakhi Bandyopadhyay, Sudeb Bhattacharya, Rahul Kumar Jaiswal, Mondeep Saikia, Kumar Vaibhav Srivastava

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Design and Development of a Metamaterial Enhanced Microstrip Antenna Integrated With a Monopulse Comparator for Tracking Applications by V M Jayakrishnan, R. V. Sanjika Devi, Dhanesh G. Kurup

“…The results demonstrate that, there is a strong agreement between simulated and measured responses and the designed system is capable of accurately tracking the target with reduced errors making it highly suitable for modern UAV and radar applications.…”
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Application of a Phase-Change Material Heat Exchanger to Improve the Efficiency of Heat Pumps at Partial Loads by Koharu Tani, Sayaka Kindaichi, Keita Kawasaki, Daisaku Nishina

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Application of deep learning models in gastric cancer pathology image analysis: a systematic scoping review by Sijun Xia, Yuanze Xia, Ting Liu, Yiming Luo, Patrick Cheong-Iao Pang

“…However, traditional histopathological image analysis relies on the subjective judgment of pathologists, which is time-consuming and prone to errors. The emergence of deep learning (DL) models provides new ways to automate and improve the analysis of GC pathology images. …”
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Scan-to-BIM-to-Sim: Automated reconstruction of digital and simulation models from point clouds with applications on bridges by Yunping Fang, Stergios-Aristoteles Mitoulis, Daniel Boddice, Jialiang Yu, Jelena Ninic

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