Evaluasi dan Redesign Website Pendidikan Tinggi dengan Menerapkan User Experience Lifecycle by M. Gilvy Langgawan Putra, Michael Renaldi, Sri Rahayu Natasia

“…As for the results gained on the research this time is, on the aspects of learnability increased 2x faster than the old ITK website, then on the efficiency aspect gained the percentage of users reached its goal in using the new ITK website 94.40%, then on the memorability aspect of the number of clicks decreased on the new ITK website when compared to the old web ITK, and on the aspect of the error that will happen to the new ITK Web site worth 1.61% of the probability.   …”
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Preparation, Purification, Identification and Anti-lipid Oxidation of Kidney Bean Skin Polyphenols by Lilan SUN, Kun WANG, Youliang ZHANG, Ruokun WANG, Feng ZUO

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Rainfall-runoff modeling of urban floods using GIS and HEC-HMS by Priyanka Sharad Jawale, A.D. Thube

“…This research centres on simulating rainfall-runoff behaviour within the urban areas of Wakad Watershed in PCMC, Maharashtra, India, with a strong focus on improving water resource planning and availability assessments. …”
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Prior information guided deep-learning model for tumor bed segmentation in breast cancer radiotherapy by Peng Huang, Hui Yan, Jiawen Shang, Xin Xie

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Calibration of Discrete Element Simulation Parameters and Model Construction for the Interaction Between Coastal Saline Alkali Soil and Soil-Engaging Components by Nan Xu, Zhenbo Xin, Jin Yuan, Zenghui Gao, Yu Tian, Chao Xia, Xuemei Liu, Dongwei Wang

“…The results of the sliding friction angle test on different depths of saline alkali soil at -65Mn were further verified using the discrete element method, with a maximum error of 3.11%, which falls within the allowable range. …”
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Mixed finite element formulation enriched by Adomian method for vibration analysis of horizontally curved beams by A. Moslehi Tabar, H. Najafi Dehkordi

“…Accordingly, Adomian decomposition method was employed to enrich the shape functions. As a result, the error percentage reduced significantly. The present method was validated by solving different examples and comparing the results with those reported by other researchers.…”
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MOLVIB vs VEDA. Revealing the best program to generate safe and reliable vibrational analysis by Silvia Antonia Brandán

“…Important errors and serious omissions reported in the previous assignments for those compounds with VEDA have been here corrected and supplemented with the more exact harmonic force fields obtained with MOLVIB. …”
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Validación psicométrica de la Escala de Malestar Psicológico Kessler 10 (K-10) en personas mayores en España by Esteban Sánchez-Moreno, Lorena P. Gallardo-Peralta, José Luis Gálvez-Nieto

“…Its brevity and ease of administration make the scale particularly suitable for epidemiological research and/or screening.…”
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Deep learning-based triple-tracer brain PET scanning in a single session: A simulation study using clinical data by Yiyi Hu, Amirhossein Sanaat, Gregory Mathoux, Pirazzo Andrade Teixeira Eliluane, Valentina Garibotto, Habib Zaidi, for the Alzheimer’s Disease Neuroimaging Initiative

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Addressing ORPD problem in a standard IEEE power network accompanied with RESs and FACTs appliances by COMMKE under volatile load scenarios by Susanta Dutta, Tushnik Sarkar, Chandan Paul, Sabbir Reza Tarafdar, Provas Kumar Roy, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…This research examines the optimal reactive power dispatch (ORPD) problem across IEEE 30 & 118 bus experimental networks. …”
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A Hybrid Deep Learning Model for Enhanced Structural Damage Detection: Integrating ResNet50, GoogLeNet, and Attention Mechanisms by Vikash Singh, Anuj Baral, Roshan Kumar, Sudhakar Tummala, Mohammad Noori, Swati Varun Yadav, Shuai Kang, Wei Zhao

“…Traditional methods of damage assessment, which rely on manual inspections, can be labor-intensive and subject to human error. This paper introduces a hybrid deep learning model that combines the capabilities of ResNet50 and GoogLeNet, further enhanced by a convolutional block attention module (CBAM), proposed to improve both the accuracy and performance in detecting structural damage. …”
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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

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Adsorption of brilliant cresyl blue using NaOH-activated biochar derived from sewage sludge by Ben Ali Majda, Bakhtaoui Yassmina, Flayou Majda, El Hazzat Mouatamid, Sifou Aicha, Dahhou Mohammed, Kacimi Mohammed, Benzaouak Abdellah, El Hamidi Adnane

“…We also assessed NaOH-activated biochar for its effectiveness in adsorbing brilliant cresyl bleu (BCB). The SSE error calculations indicated a first-order adsorption, while the isotherms suggested a better fit with the Sips model, indicating heterogeneous adsorption with an ns value of 0.95. …”
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On the Interactions of Fused Pyrazole Derivative with Selected Amino Acids: DFT Calculations by Kornelia Czaja, Jacek Kujawski, Elżbieta Jodłowska-Siewert, Paulina Szulc, Tomasz Ratajczak, Dominika Krygier, Marcin K. Chmielewski, Marek K. Bernard

“…Continuing our previous research aiming at elucidating the mechanism of pyrazole’s anticancer activity, we carried out in silico studies on the interactions of fused pyrazole derivative with alanine, lysine, glutamic acid, and methionine. …”
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Advancing coal fire detection model for large-scale areas based on RS indices and machine learning by Jinglong Liu, Feng Zhao, Yunjia Wang, Yanan Wang, Sen Du, Libo Dang, Jordi J. Mallorqui

“…In addition, there is limited research focused specifically on detecting coal fires over large areas. …”
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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

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Machine learning-based hydrograph modeling with LSTM: A case study in the Jatigede Reservoir Catchment, Indonesia by Neil Andika, Piter Wongso, Faizal Immaddudin Wira Rohmat, Siska Wulandari, Ammar Fadhil, Riswanto Rosi, Nabila Siti Burnama

“…The model successfully reproduced overall hydrograph patterns, obtaining a Nash-Sutcliffe Efficiency (NSE) of 0.60 and a Root Mean Squared Error (RMSE) of 12.16, while limitations were observed in simulating extreme hydrological events, primarily due to a lack of historical extreme event data. …”
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Detection of Bacterial Leaf Spot Disease in Sesame (<i>Sesamum indicum</i> L.) Using a U-Net Autoencoder by Minju Lee, Jeseok Lee, Amit Ghimire, Yegyeong Bae, Tae-An Kang, Youngnam Yoon, In-Jung Lee, Choon-Wook Park, Byungwon Kim, Yoonha Kim

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Role of ternary hybrid nanoparticle and EMHD on boundary layer flow with stretching-shrinking plate: Optimization analyses using RMS by Ibrahim Mahariq, Rania Saadeh, Farhan Lafta Rashid, Ahmad Qazza, Hamiden Abd El-Wahed Khalifa, Mohamed Kezzar, Haifa Alqahtani, Mohamed Rafik Sari

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Accuracy of predicting the genetic risk of disease using a genome-wide approach. by Hans D Daetwyler, Beatriz Villanueva, John A Woolliams

“…Deterministic prediction errors when tested by simulation were generally small. …”
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