Feature-Driven Density Prediction of Maraging Steel Additively Manufactured Samples Using Pyrometer Sensor and Supervised Machine Learning by Rajesh Kumar Balaraman, Shaista Hussain, John Kgee Ong, Qing Yang Tan, Nagarajan Raghavan

“…The findings indicate that RS is the most effective HPO technique across all models and highlight the significance of MACH-S and PHYS-B features in improving model predictions over PYRO-D features, achieving an R2 score of 0.948 and a mean-squared error (MSE) of 0.007. Finally, the feature-driven model incorporating optimal machine, pyrometer, and physical features was utilized for density prediction through ML. …”
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A Green Cloud-Based Framework for Energy-Efficient Task Scheduling Using Carbon Intensity Data for Heterogeneous Cloud Servers by B. M. Beena, Prashanth Cheluvasai Ranga, Thotapalli Sri Surya Manideep, Sneha Saragadam, Garikipati Karthik

“…Organizations that still rely on outdated, manual data management methods face a heightened risk of human error and struggle to adapt quickly to shifting demands. …”
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Simulating the Photosynthetic and Annual-Yield Enhancement of a Row-Planted Greenhouse Tomato Canopy Through Diffuse Covering, CO₂ Enrichment, and High-Wire Techniques by Koichi Nomura, Masahiko Saito, Ikunao Tada, Daisuke Yasutake, Kensuke Kimura, Masaharu Kitano

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Enhancing image security via chaotic maps, Fibonacci, Tribonacci transformations, and DWT diffusion: a robust data encryption approach by Mohammad Mazyad Hazzazi, Mujeeb Ur Rehman, Arslan Shafique, Amer Aljaedi, Zaid Bassfar, Aminu Bello Usman

“…To address this challenge, the proposed research presents a robust data security approach for encrypting grayscale images, comprising five key phases. …”
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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

“…It outperforms existing methods, such as BSMAP, bwa-meth, Bismark, BSBolt, and abismal, particularly in robustness against genomic biases and alignment of longer, higher-error reads, demonstrating suitability for cancer research and cell-free DNA studies. …”
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CHARACTERISTICS OF LIPID METABOLISM IN PATIENTS WITH TYPE 1 DIABETES, DEPENDING ON THE AVAILABILITY OF DIABETIC MICROANGIOPATHY AND DIET by Yu. G. Samoilova, Ye. V. Yurchenko

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A note on prognostic accuracy evaluation of regression models applied to longitudinal autocorrelated binary data by Giulia Barbati, Alessio Farcomeni, Patrizio Pasqualetti, Gianfranco Sinagra, Massimo Bovenzi

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Prevalence and associated factors of adolescent fatherhood in Ethiopia: A multilevel analysis using the 2016 Ethiopian demographic health survey data. by Misganaw Gebrie Worku, Getayeneh Antehunegn Tesema, Achamyeleh Birhanu Teshale

“…Currently, in developed countries, there is an increased work to acknowledge teen fathers in clinical practice and in the research forum, but still, there are more issues that need to be addressed in developing countries including Ethiopia. …”
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Encapsulation Process and Dynamic Characterization of SiC Half-Bridge Power Module: Electro-Thermal Co-Design and Experimental Validation by Kaida Cai, Jing Xiao, Xingwei Su, Qiuhui Tang, Huayuan Deng

“…Silicon carbide (SiC) half-bridge power modules are widely utilized in new energy power generation, electric vehicles, and industrial power supplies. To address the research gap in collaborative validation between electro-thermal coupling models and process reliability, this paper proposes a closed-loop methodology of “design-simulation-process-validation”. …”
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Quantifying synthetic bacterial community composition with flow cytometry: efficacy in mock communities and challenges in co-cultures by Fabian Mermans, Ioanna Chatzigiannidou, Wim Teughels, Nico Boon

“…Flow cytometry was shown to have a lower average root mean squared error and outperformed the PCR-based methods in even mock communities (flow cytometry: 0.11 ± 0.04; qPCR: 0.26 ± 0.09; amplicon sequencing: 0.15 ± 0.01). …”
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Gravity waves above the northern Atlantic and Europe during streamer events using Aeolus by S. Wüst, L. Küchelbacher, F. Trinkl, F. Trinkl, M. Bittner, M. Bittner

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Metabarcoding with Illumina and Oxford Nanopore Technologies provides complementary insights into tree seed mycobiota by Jana Mittelstrass, Renate Heinzelmann, René Eschen, Martin Hartmann, Quirin Kupper, Salome Schneider, Simone Prospero, Iva Franić

“…Traditional culturing captures most of the fungi from short-read metabarcoding and remains valuable for obtaining isolates for further research.…”
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Investigation of effective conservation measures for the critically endangered White-bellied Heron Ardea insignis using an integrated population model and Bayesian population via... by Indra P. Acharja, Yuji Okahisa, M. Clay Green, Tshewang Lhendup, Sonam Tshering, Thinley Phuntsho, Tshering Tobgay, Lungten Lungten, Jigme Tshering, Samten Leki

“…In situations where every individual bird is critical to the population, conservation actions must be precise and effective, leaving little margin for error. Despite commendable conservation measures for the White-bellied Heron, especially in Bhutan, where a major population is found, the declining population trend is alarming, necessitating both short-term and long-term conservation strategies. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…After experiments, the proposed method can effectively count the number of soybean seedlings in the image, with an overall accuracy of 99.18% and an error rate of 0.82%. In addition, Yolov8n had the best recognition effect in the soybean seedling detection task, with a mAP (0.5–0.95) of 85.15%. …”
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Global patterns and drivers of soil dissolved organic carbon concentrations by T. Ren, T. Ren, A. Cai

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Evaluation of Soil Moisture Retrievals from a Portable L-Band Microwave Radiometer by Runze Zhang, Abhi Nayak, Derek Houtz, Adam Watts, Elahe Soltanaghai, Mohamad Alipour

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Study of biomarkers to determine severity and lung damages in COVID-19 patients by Alfian Nur Rosyid, Arina Dery Puspitasari, Wiwin Is Effendy, Herley Windo Setiawan, Arief Bakhtiar, Isnin Anang Marhana, Anggraini Dwi Sensusiati, Jusak Nugraha, Muhammad Amin

“…The t values were: neutrophil covariance error (6.11), lymphocytes (6.12), NLR (6.10), eosinophils (6.08), basophils (6.07), monocytes (6.12), platelets (6.12), leukocytes (6.12), PLR (6.10), ACE2 (0.97), KL-6 (5.63), MMP-9 (2.08), TIMP-1 (2.77), and MMP-9/TIMP-1 (6.12). t value canonical correlation of 7.04 (t count > 1.96) indicated a correlation between the severity of the patient and post-infection lung damage. …”
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SAR Analysis in an Anatomical Head Model Using CFL-Optimized Yee Cells and an Accurate Dipole Model at 700-MHz for 5G Mobile Radiation by Terapass Jariyanorawiss, Komsan Kanjanasit, Wachira Chongburee, Nattapon Sornsungnoen

“…First, the optimization of the unit cell size relative to the wavelength is refined in comparison to other unit cells without a phase error. This optimization leads to an accurate time-step parameter via the CFL criterion, ensuring the stability of the computer simulation. …”
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Differential folding steering control strategy of mining vehicle articulated system based on multi-loop nesting by Zhiyong JI, Zhongbin WU, Zhiyong REN, Ruiliang ZHANG, Tie WANG

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Improving the Efficiency of Essential Oil Distillation via Recurrent Water and Steam Distillation: Application of a 500-L Prototype Distillation Machine and Different Raw Material... by Namphon Pipatpaiboon, Thanya Parametthanuwat, Nipon Bhuwakietkumjohn, Yulong Ding, Yongliang Li, Surachet Sichamnan

“…This research presents an essential oil (EO) distillation method with improved efficiency, called recurrent water and steam distillation (RWASD), as well as the testing of a 500 L prototype essential oil distillation machine (500 L PDM). …”
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