Detecting Floating-Point Expression Errors Based Improved PSO Algorithm by Hongru Yang, Jinchen Xu, Jiangwei Hao, Zuoyan Zhang, Bei Zhou

“…The floating-point expression error detection tool PSOED is implemented, which can detect significant errors in floating-point arithmetic expressions and provide corresponding input. The method presented in this paper is based on two insights: (1) treating floating-point error detection as a search problem and selecting reliable heuristic search strategies to solve the problem; (2) fully utilizing the error distribution laws of expressions and the distribution characteristics of floating-point numbers to guide the search space generation and improve the search efficiency. …”
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Liquid-Liquid Extraction/Low-Temperature Purification (LLE/LTP) Followed by Dispersive Solid-Phase Extraction (d-SPE) Cleanup for Multiresidue Analysis in Palm Oil by LC-QTOF-MS by Elham Sobhanzadeh, Keivan Nemati

“…Optimization approaches were studied in terms of d-SPE to select efficiency of type and mass of adsorbents to obtain the highest recovery yield of pesticides and the lowest coextract fat residues in the final extract. …”
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ElHBiAt: Electra Pre-Training Network Hybrid of BiLSTM, the Attention Layer to Aspect-Based Sentiment Analysis by Amin Ghanee Nezhad, Kia Jahanbin, Abolfazl Razzaghi Yamchi

“…Also, in the proposed model of ElHBiAt, the resampling method is used to deal with imbalanced datasets, which causes the neural model to find less orientation than the polarities in the majority. …”
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Cutting forces in gear machining by disk milling cutters by S. Pasternak, Y. Danylchenko

“…It means that, in order to select a perfectly suitable machining method with the optimal process parameters for each individual manufacturing task and thereby to increase the efficiency of the gear manufacturing, the profound knowledge about achievable quality parameters and tool life are required.…”
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Adsorption, thermodynamic and corrosion study of enalapril malate pharmaceutical drug as corrosion inhibitor for carbon steel in saline solution by Haider Abdulkareem Almashhadani

“…This study investigated the effects of concentration, adsorption mechanism and thermodynamic parameters of enalapril malate (ENAP) as a corrosion inhibitor for carbon steel in a saline solution (3.5 % NaCl). The polarization method was used to determine the corrosion rate and inhibition efficiency. …”
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Flood Forecasting Simulation in Karst Areas——A Case Study of Jinbao River Basin in Yangshuo by YUAN Meng, HU Haiying, TIAN Tian, ZHU Dantong, CHENG Xiangju

“…The parameter sensitivity of the model was analyzed based on the modified Morris screening method, and nine floods were selected for model parameter rate determination and validation. …”
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Basic Properties and Qualitative Dynamics of a Vector-Borne Disease Model with Vector Stages and Vertical Transmission by Sansao A. Pedro

“…This study demonstrates how the failure of R0 derived using the next-generation method compounds itself when varying vertical transmission efficiency, and it shows that the host type reproductive number gives the correct R0. …”
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Analysis and anti-control of period-doubling bifurcation for the one-dimensional discrete system with three parameters and a square term by Limei Liu, Xitong Zhong

“…To address the practical needs of engineering, anti-control of period-doubling bifurcation is a typical method of applying chaos. Based on these reasons, we conducted the following research: First, we proposed a new one-dimensional discrete system with three parameters and a square term. …”
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Mathematical modeling of tuberculosis using Caputo fractional derivative: a comparative analysis with real data by Sanjay Bhatter, Sangeeta Kumawat, Sunil Dutt Purohit, D. L. Suthar

“…Numerical simulations are performed using the Adams–Bashforth–Moulton method. By utilizing the root mean square error (RMSE) metric, the fractional-order model demonstrates an efficiency improvement of approximately 28.5% compared to its integer-order counterpart, highlighting the superior accuracy of fractional-order models in describing tuberculosis transmission dynamics. …”
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The Effect of Information, Fear, and Risk Perceptions to Pro-Environmental Behavior among University Students in Indonesia by Dyah E Noor Fitri, Anindrya Nastiti

“…In addition, the research identified the indirect and negligible effects of various protection motivation theory factors, including cost, response efficacy, and self-efficiency. Further, an unexpected finding determines that pro-environmental behavior was unrelated to demographic and socioeconomic background. …”
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Application of inertial navigation high precision positioning system based on SVM optimization by Ruiqun Han

“…To navigate and locate pedestrians in complex motion states, a method for converting between smartphone coordinate systems and navigation coordinate systems was studied and designed, and the errors of the built-in sensors of smartphones were analyzed and calibrated. …”
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STUDY OF TORQUE NONUNIFORMITY IN DOUBLE-ACTION HYDRAULIC ROTARY VANE MO-TORS by V. Yu. Savin, V. Yu. Ilyichev

“…In this case, the most important parameter of the torque is its nonuniformity. The problem of determining nonuniform torque in hydraulic motors having ten and twelve vanes is investigated with the aim of ensuring the maximum stability of this parameter.Method. …”
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Development of A Nursing Care Documentation Module Based on SDKI, SLKI, SIKI (3S) by Emi Eliya Astutik, M. Elyas Arif Budiman, Achmad Efrizal Amrullah, Mahmud Ady Yuwanto

“…Method: The research design used in this study was a pre-experiment with a one group pre-test-post-test design. …”
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Nanoencapsulation of morin hydrate with BSA for sustained drug release in colorectal carcinoma cells: experimental and computational approach by Sanju Kumari Singh, Amit Kumar Srivastav, Amit Kumar Srivastav, Sunaina Chaurasiya, Sunita Patel, Umesh Kumar, Hitesh Kulhari

“…In the current study, we prepared BSA encapsulated MH nanoparticles by desolvation method. The characterization of the nanoparticles was done by XRD, DSC, TGA and FTIR was performed to corroborate the results. …”
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Application of predator-prey optimization for task scheduling in cloud computing by Zahra Jalali Khalil Abadi, Behnam Mohammad Hasani zade, Najme Mansouri, Mohammad Masoud Javidi

“…Cloud computing environments require scheduling to allocate resources efficiently and ensure optimal performance. It is possible to maximize resource utilization and minimize execution time by scheduling cloud systems effectively. …”
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Comparing the Effectiveness of Written Emotional Disclosure Training and Cognitive-Behavioral Group Training on Internalizing and Externalizing Disorders of Students in Elementary... by Mohammad Raesi, Faride Sadat Hoseini, Yosof Dehghani

“…Methods: This study presents a quasi-experimental design incorporating a pretest-post-test control group. …”
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Installation of preoperative and intraoperative fiducial markers for radiation therapy in mammary gland surgery (literature review) by A. Zh. Abdrakhmanova, N. S. Khvan, T. G. Goncharova, Sh. S. Sultanseitov, A. B. Bayzhigitov, A. Ya. Toguzbayeva, A. S. Kazhenova, A. A. Khozhaev, D. E. Aymanova

“…However, the lack of standardized methods for the exact localization of the tumor margin presents a significant challenge. …”
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Proposing Optimized Random Forest Models for Predicting Compressive Strength of Geopolymer Composites by Feng Bin, Shahab Hosseini, Jie Chen, Pijush Samui, Hadi Fattahi, Danial Jahed Armaghani

“…Both hybrid models significantly outperformed traditional methods, demonstrating their higher accuracy and reliability in predicting the compressive strength of GePC. …”
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Toward accurate and scalable rainfall estimation using surveillance camera data and a hybrid deep-learning framework by Fiallos-Salguero Manuel, Soon-Thiam Khu, Jingyu Guan, Mingna Wang

“…However, traditional rainfall measurement methods face limitations regarding spatial coverage, temporal resolution, and data accessibility, particularly in urban settings. …”
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TRANSFORMER VS. MAMBA AS SKIN CANCER CLASSIFIER: PRELIMINARY RESULTS by Владислав Нікітін, Валерій Данілов

“…Objective: This paper compares the effectiveness of two machine learning architectures, Vision Transformer (ViT) and Mamba, for skin cancer classification using dermoscopy images. The goal is to determine if Mamba can provide a computationally efficient alternative to ViT without decrease in diagnostics accuracy. …”
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