A Hybrid Fuzzy Mathematical Programming Approach for Manufacturing Inventory Models with Partial Trade Credit Policy and Reliability by Prasantha Bharathi Dhandapani, Kalaiarasi Kalaichelvan, Víctor Leiva, Cecilia Castro, Soundaria Ramalingam

“…The model’s adaptability and accuracy indicate its broad applicability across various sectors facing similar challenges, offering a valuable tool for operational managers and decision makers to improve efficiency and reduce waste in production cycles.…”
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Comparison of Pleural Fluid Adenosine Deaminase with the Lactate Dehydrogenase/Adenosine Deaminase Ratio in Differentiating Tubercular Pleural Effusion from Non-tubercular Effusion by R. Sai Deeksha, Basava, Shraddha Acharya

“…Patients were categorized into TPE (n = 40) and NTPE (n = 40) groups based on clinical, radiological, and laboratory findings. Pleural fluid parameters, including LDH and ADA levels, were analyzed. …”
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Micromechanical Fracture Model of High-Strength Welded Steel Under Cyclic Loading by Xiyue Liu, Yuanqing Wang, Xingyu Zhen, Yilin Yue, Manchao He, Yicong Ye

“…A positive correlation between toughness parameters and plasticity was discovered. The validated VGM and SMCS provide a reliable tool for predicting ductile fracture in Q460C steel and its welds, offering significant insights for the design and safety assessment of high-strength steel structures.…”
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Assessing sensitivity of stream migration at Foothill Areas: Hydrological modeling and spatial analysis of the Red Sea coastal stream by Ahmed Foda, Ahmed Abdelhalim, Mustafa Elkhedr

“…Consequently, the approach offers a practical tool for engineers and urban planners engaged in sustainable river management, flood risk assessment, and infrastructure protection under evolving climate conditions.…”
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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

“…Therefore, the proposed model serves as a reliable, efficient, and real-time prediction tool, providing robust support for port operational safety.…”
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Decision vector model in predicting social behavior (on the example of the secondary analysis of the pre-election surveys) by N. S. Babich, S. M. Kharun

“…But for this, we need to calculate the probability of turnout based on other parameters known before the elections. Nevertheless, attempts to integrate social-structural variables into models of mass behavior look promising, since they represent a transition from measuring behavioral intentions to measuring circumstances that shape behavior, and the decision vector model is a promising tool for such a transition.…”
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Innovative transformer neural network for wind density function estimation at different hub heights of turbine by Amit Kumar Yadav, Vibha Yadav, Walle Tilahun

“…The results demonstrate the Transformer model’s high accuracy and robustness in estimating WDF, making it a reliable tool for assessing wind energy potential at different turbine hub heights.…”
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Study of various prognostic factors for sepsis patients requiring intensive medical care with special emphasis on APACHE II score in prognostication by H Pandya, N Pabani, K Shah, R Yadav, P Patel, J Raninga

“…Aim: We investigated various prognostic factors for sepsis and also the use of APACHE II scoring system as a prognostic tool. Methodology: We analysed 50 patients with sepsis admitted to medical ICU. …”
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Risk assessment of diabetes among undergraduate students of Northern Maharashtra using Indian Diabetes Risk Score and its correlation with fasting blood glucose by Yogita G Bavaskar

“…The Indian Diabetes Risk Score (IDRS) employs four parameters—age, waist circumference, family history of diabetes, and physical activity—to screen for diabetes. …”
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A Systematic Review on Reinforcement Learning-Based Robotics Within the Last Decade by Md. Al-Masrur Khan, Md Rashed Jaowad Khan, Abul Tooshil, Niloy Sikder, M. A. Parvez Mahmud, Abbas Z. Kouzani, Abdullah-Al Nahid

“…The bibliographic data that is extracted from the papers are analyzed using an automated tool named Vosviewer with respect to some parameters. …”
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A Dual-Source Energy Balance Model Coupled with Jarvis Canopy Resistance for Estimating Surface Evapotranspiration in Arid and Semi-Arid Regions by Qiutong Zhang, Jinling Kong, Lizheng Wang, Xixuan Wang, Zaiyong Zhang, Yizhu Jiang, Yanling Zhong

“…In conjunction to soil moisture, the TSEB_SM+ model could potentially be a more effective tool for monitoring the ET.…”
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Heart Rate Variability and Autonomic Dysfunction After Stroke: Prognostic Markers for Recovery by Sara Lago, Toon T. de Beukelaar, Ilaria Casetta, Giorgio Arcara, Dante Mantini

“…Together, these findings support the integration of HRV analysis into stroke care as a non-invasive, accessible tool to guide prognosis and tailor interventions.…”
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A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

“…The ANN model calculates performance metrics within 10 s and achieves R² values above 0.95 for most parameters. This method can be integrated into control systems and serves as a valuable tool for gasification process monitoring and optimization.…”
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Prediction of Landslide Position of Loose Rock Mass at Mountain Tunnel Exit by Ya-Qiong Wang, Cheng-Bin Ma, Zhi-Feng Wang

“…It is suggested that the proposed method is a useful tool in the design of tunnel engineering.…”
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S-DCNN: prediction of ATP binding residues by deep convolutional neural network based on SMOTE by Sixi Hao, Sixi Hao, Cai-Yan Li, Xiuzhen Hu, Zhenxing Feng, Gaimei Zhang, Caiyun Yang, Huimin Hu

“…Currently, the precise prediction of ATP binding residues remains challenging.MethodsBased on the sequence information, this paper introduces a method called S-DCNN for predicting ATP binding residues, utilizing a deep convolutional neural network (DCNN) enhanced with the synthetic minority over-sampling technique (SMOTE).ResultsThe incorporation of additional feature parameters such as dihedral angles, energy, and propensity factors into the standard parameter set resulted in a significant enhancement in prediction accuracy on the ATP-289 dataset. …”
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Transformation of University Models: Analysis of the Development Strategies of Universities in the World by D. A. Shtykhno, L. V. Konstantinova, N. N. Gagiev, E. A. Smirnova, O. D. Nikonova

“…The presented complex of the main characteristics of typological models of universities can serve as a tool for assessing the compliance of a particular university with a particular model, as well as contribute to goal-setting in the development of the national higher education system and particular universities.…”
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Nutritional composition dataset of approved infant formula powder in China (2017-2024)Dataverse by Jun Cai, Shuguang Li, Qing Wei, Hong Wang, Yaguang Jiang, Jiao Jiao

“…This dataset can be applied as a tool for data-driven insights for formula optimization, aligning with China's updated national standards for precise dietary management, or to assist Chinese consumers in selecting appropriate infant formula milk powder products.…”
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View Score: An early warning score to detect possible complications among COVID-19 patients by Meenakshi Bhakare, Rajkumar Nikalje, Reshma Patil, Urvi Shukla, Rupesh Bokade, Gajanan Sakhare, Shardul Joshi, Aditi Pais

“…Conclusion: Home-based spirometry acts as an effective tool for COVID-19 patients to predict lung complications and also promote self-monitoring thereby reducing the burden on the health system.…”
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Evaluation of The Pan-Immune-Inflammation Value in Patients with Chronic Rinosinusitis by Mehmet Emre Sivrice, Yusuf Tuncel, Hasan Yasan, Erdoğan Okur, Yusuf Çağdaş Kumbul, Vural Akın

“…In this regard, we aimed to obtain a new diagnostic tool that can guide the treatment of patients who do not accept biopsy or are not suitable for surgery due to their comorbidities. …”
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TECs (v1): A Terrestrial Ecosystem Carbon Cycle Simulator Integrated With Spectral Reflection and Emission by Haoran Liu, Min Chen

“…These results demonstrate that TECs is a promising tool for enhancing terrestrial carbon flux modeling using next‐generation hyperspectral observations. …”
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