On the full non-Gaussian Surprise statistic and the cosmological concordance between DESI, SDSS and Pantheon+ by Pedro Riba Mello, Miguel Quartin, Bjoern Malte Schaefer, Benedikt Schosser

“…One such tool is the Surprise statistic, a measure based on the Kullback-Leibler divergence. …”
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ASSESSMENT AND QUANTIFICATION LAND PRODUCTIVITY POTENTIAL IN KILINDI DISTRICT by Rebecca Makubi Makubi, Proches Msigula, Boniface Mbilinyi

“…The main objective of this research was to determine the land productivity index based on various soil and physical parameters using the GIS tool. This study was conducted in the Kilindi district in the Tanga region. …”
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Machining Performance of AA2024/5Al2O3/5Gr Hybrid Composites under Al2O3 Mixed Dielectric Medium by Nandagopal Kaliappan, M. Balaji, T. CH Anil Kumar, Haqqani Arshad, N. B. Prakash Tiruveedula, S. Hemavathi, Kibebe Sahile

“…The experiments were designed using response surface methodology in which material removal rate (MRR), tool wear rate (TWR), and surface roughness (Ra) were recorded as responses. …”
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Improved groundwater vulnerability mapping in the Taza aquifer (Northen Morocco) using a modified drastic and GIS- BASED Approach by Bouiss Hanae, Amar Imane, Makkaoui Mohamed, Ourarhi Sofia, Bengamra Said, Azougay Abdeallah

“…These results provide a robust decision-support tool for groundwater protection and planning.…”
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DECREASED CD10 EXPRESSION IN THE BONE MARROW NEUTROPHILS OF HIV POSITIVE PATIENTS by Annemarie Van de Vyver, Adele Visser

“…This marker is therefore of doubtful significance as a diagnostic tool in distinguishing between primary and secondary dysplasia.…”
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Vision-Guided Fuzzy Adaptive Impedance-Based Control for Polishing Robots Under Time-Varying Stiffness by Qinsheng Li, Xiaozhen Lian

“…This approach integrates real-time visual feedback for geometric perception and adaptive tool path generation with a fuzzy logic system that dynamically adjusts impedance parameters to account for unforeseen surface stiffness variations. …”
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Multi-Stress Accelerated Degradation Testing Reliability Assessment of LED Lamp Beads Considering Generalized Coupling by Yinglong Dong, Zhen Zhou, Kaixin Liu, Xu Yang

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Application of High-Speed Video Recording in Solving Scientific and Practical Problems of Forensic Ballistics by A. V. Kokin

“…High-speed digital video cameras enable us to observe fast-flowing phenomena such as detonation, shot, and spark discharges; to visualize the stages of destruction and deformation; to produce accurate measurements of motion parameters, promoting improvement of the design characteristics for various products, revealing the nature of events and verifying scientific theories. …”
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A smarter approach to liquefaction risk: harnessing dynamic cone penetration test data and machine learning for safer infrastructure by Shubhendu Vikram Singh, Sufyan Ghani

“…This study bridges the gap between field testing and advanced computational techniques, providing a powerful tool for geotechnical engineers to assess liquefaction risks and design resilient infrastructures.…”
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Early Clinical Predictors of Long-term Disability Progression in Patients with Multiple Sclerosis by Valentina Georgieva Ignatova, Lyudmila Pavlova Todorova, Lyubomir Haralanov Haralanov, Peter M. Vassilev

“…Conclusion: The proposed predictive score can be applied as a complementary tool in the choice of appropriate therapeutic approach at the early stages of MS, which can help avoid disability overtime.…”
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Industrial Internet of Things for a Wirelessly Controlled Water Distribution Network by Mahmud M. Nagasa, Princy L. D. Johnson

“…The network designs were validated using the Radio Mobile tool, considering the water station’s specific terrain and wireless module parameters. …”
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Optimization of aluminum 6061 surface integrity on dry-running machining CNC milling using Taguchi methods by Rifky Maulana Yusron, Mohamad Imron Mustajib, Imam Hanafi

“…Unsubstantial machining parameter setting will lead to a lack of surface roughness or even worse damage on tool steel. …”
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ENERGY ABSORPTION CHARACTERISTIC OF BIOMIMETIC BAMBOO THIN⁃WALLED TUBE STRUCTURE FOR CAR CRASH BARRIERS by ZHANG HaiYan, ZHOU GuoHua

“…Based on the macroscopic and microscopic structural characteristics of bamboo,two bionic bamboo structures were proposed:a thin⁃walled tube with variable wall thickness with reinforcing joints(Tube⁃a)and a thin⁃walled bamboo⁃like tube with ribs in a double circle(Tube⁃b).The energy absorption characteristics of the bionic structures under three⁃point bending loading were investigated with the help of Abaqus tool,and the conventional circular tube structure was introduced for comparative analysis.The results show that Tube⁃b has the best performance,its peak crushing force is reduced by about 18.396%compared with the circular tube structure,and its specific energy absorption and energy absorption efficiency are improved respectively by about 50.8%and 38.797%.To further investigate the energy absorption characteristics of the bamboo⁃like structure,the effects of parameters such as loading angle,wall thickness propertyαand cross⁃section propertyβon the energy absorption characteristics of Tube⁃b were explored.It is found that the comprehensive performance of Tube⁃b is better under 0°~20°loading;the energy absorption efficiency of Tube⁃b can be improved appropriately by adjusting the wall thickness property,and the specific energy absorption of Tube⁃b can be improved appropriately by adjusting the cross⁃section property.This study can provide some references for the design of improving the energy absorption characteristics of thin⁃walled structures.…”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…Plant viruses pose a significant threat to global agriculture and require efficient tools for their timely detection. We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. …”
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Dynamic risk prediction in financial-production systems using temporal self-attention and adaptive autoregressive models by Xuduo Lin, Ziang Qi 

“…The model effectively improves the accuracy and stability of risk prediction, providing a more accurate forecasting tool for financial-production system risk management, with significant practical implications.…”
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Design of a Room Monitoring System for Wireless Sensor Networks by Sun-Kuk Noh, Kuk-Se Kim, Yoo-Kang Ji

“…In wireless sensor networks (WSN) systems, various indoor environmental parameters can be monitored in real time by an RF wireless sensor module. …”
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STRESS, EQUIVALENT STRAIN AND DEFORMATION FOR MACHINING OPERATION UTILIZING EXPLICIT DYNAMIC ANALYSIS FOR VARIOUS MATERIALS by Anand Valiavalappil

“…During the machining process, it’s very difficult to get and accurate value of stress for the tool and raw (test) material, so Ansys FEA analysis method is adopted to predict the parameter like stress, strain and total deformation. …”
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Identification and authentication of additively manufactured components using their microstructural fingerprint by Kanhaiya Gupta, Konstantin Poka, Alexander Ulbricht, Anja Waske

“…This not only enhances the traceability of additively manufactured parts but also provides a robust tool for integrating digital materials, parts databases, and product passports with their physical counterparts.…”
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Ultra-sensitive surface plasmon resonance sensor integrating MXene (Ti3C2TX) and graphene for advanced carcinoembryonic antigen detection by Ali Khodaie, Hamid Heidarzadeh

“…Comparative analysis further underscores the superior performance of this design, establishing it as a cutting-edge tool for applications in biosensing, medical diagnostics, food safety, and environmental monitoring. …”
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A novel approach to baryogenesis in f(Q,Lm) gravity and its cosmological implications by Amit Samaddar, S. Surendra Singh

“…Combining observational insights from Hubble, BAO and pantheon datasets, we conduct a comprehensive analysis to constrain the model's parameters and determine the baryon-to-entropy ratio ηBs, providing valuable insights into the model's performance and cosmological implications. …”
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