ToMCCA: a Toy Monte Carlo Coalescence Afterburner by Maximilian Mahlein, Chiara Pinto, Laura Fabbietti

“…This model can also be extended to heavier nuclei as long as the target nucleus wavefunction and its Wigner function are known.…”
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Copper Poisoning with Emphasis on Its Clinical Manifestations and Treatment of Intoxication by Mehrdad Rafati Rahimzadeh, Mehravar Rafati Rahimzadeh, Sohrab Kazemi, Ali Akbar Moghadamnia

“…Treatment for copper poisoning typically involves removing the source of exposure and administering medications to help remove the excess copper from the body. …”
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MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures by Laura Shub, Wenjin Liu, Georgios Skiniotis, Michael J. Keiser, Michael J. Robertson

“…Correct classification of these sites provides crucial insight for understanding structure and function as well as guiding downstream design tasks, including structure-based drug discovery and de novo biomolecule design. …”
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Computational approach in obtaining analytic solutions of a generalized nonlinear breaking soliton equation with applications in engineering and physics by Oke Davies Adeyemo, Chaudry Masood Khalique

“…Higher-order nonlinear wave models have been a source of attraction to a huge number of researchers in recent times as a result of their significance in mathematical physics, other nonlinear sciences as well as engineering. …”
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Meaning in Life Among Aged People: A Qualitative Study of an Institutionalized Elderly Sample by Lăcrămioara Cojocaru, Camelia Soponaru, Daniela Muntele-Hendreș, Ciprian Ceobanu

“…The research utilized thematic analysis within a qualitative methodology to investigate the subjective sources of meaning among elderly people living in Romanian institutional settings. …”
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Differential effects of young and old hematopoietic stem cell niches on bone marrow-derived dendritic cells by Patrik Milić, Mojca Justin Kjuder, Katerina Jazbec Gradišar, Urban Švajger, Primož Rožman

“…Abstract Background Aging is linked to various dysfunctions of the immune system, including the decline of its primary developmental source: the hematopoietic stem cell (HSC) niche. This decline leads to chronic inflammation, increased vulnerability to infections, cancer, autoimmune diseases, and reduced vaccine efficacy. …”
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Chemical Composition and Antioxidant Properties of Peels of Five Pumpkin (<i>Cucurbita</i> sp.) Species by Małgorzata Stryjecka

“…By-products from the fruit and vegetable processing industry represent a substantial source of bioactive compounds, which can be extracted and utilized in the development of functional foods or nutraceuticals, thereby contributing to sustainable nutrition and waste valorization. …”
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Estimation of Positive‐, Negative‐, and Zero‐Sequence Current and Voltage Phasors of UIPC VSCs for Short‐Circuit Faults in Transmission Lines by Babak Bahadori, Ali Nahavandi, Mahyar Abasi

“…ABSTRACT FACTS devices, functioning as controlled series voltage and parallel current source converters in transmission lines, can enhance network flexibility. …”
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The role of radio as the public sphere for public political education in the digital era: Challenges and pitfalls by Anang Sujoko, Dyan Rahmiati, Fathur Rahman

“…Radio’s ability to survive was strongly supported by its ability to utilize of income opportunities and elegantly avoid economic and political pitfalls by empowering the role of the public sphere through massive involvement of external sources. …”
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Integration of Deep Learning Neural Networks and Feature-Extracted Approach for Estimating Future Regional Precipitation by Shiu-Shin Lin, Kai-Yang Zhu, He-Yang Huang

“…This study proposes a deep neural network (DNN) as a downscaling framework with nonlinear features extracted by kernel principal component analysis (KPCA). KPCA utilizes kernel functions to extract nonlinear features from the source climatic data, reducing dimensionality and denoising. …”
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A comprehensive review of tree cover mapping using satellite sensor data by Md. Shamim Reza Saimun, M. Mahmudur Rahman

“…Abstract Trees serve manifold ecosystem functions including climate change mitigation, biodiversity conservation, landscape restoration etc. yet are facing threats globally due to human intervention. …”
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Whole genome analysis of 26 bacterial strains reveals aromatic and hydrocarbon degrading enzymes from diverse environmental soil samples by Md Shakhawat Hossain, Brian Iken, Rupa Iyer

“…However, native microbial communities can adapt to these toxic pollutants, utilize these compounds as a carbon source, and eventually evolve to degrade these toxic contaminants. …”
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HD-6mAPred: a hybrid deep learning approach for accurate prediction of N6-methyladenine sites in plant species by Huimin Li, Wei Gao, Yi Tang, Xiaotian Guo

“…Furthermore, HD-6mAPred not only improves the accuracy of 6mA site prediction, but also shows excellent generalization capability across species. The source code utilized in this study is publicly accessible at https://doi.org/10.5281/zenodo.15355131.…”
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Advances in Stem Cell Therapy for Huntington’s Disease: A Comprehensive Literature Review by Siddharth Shah, Hadeel M. Mansour, Brandon Lucke-Wold

“…Recent research indicates that NSCs have been the most often utilized stem cell type for treating HD. NSCs have been generated and extracted from a variety of sources, including HD patients’ somatic cells and the brain itself. …”
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Smart building energy management with renewables and storage systems using a modified weighted mean of vectors algorithm by Mohamed Ebeed, Sabreen hassan, Salah Kamel, Loai Nasrat, Ali Wagdy Mohamed, Abdel-Raheem Youssef

“…The EM problem tackled involves optimizing the scheduling of multiple energy sources, including diesel generators, PV units, and batteries, within a smart building context. …”
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A Two-Stream Deep Learning Framework for Robust Coral Reef Health Classification: Insights and Interpretability by Arslan Abdul Ghaffar, Gyu Sang Choi

“…We created a specialized dataset of 20,000 images by combining five public datasets, applying a class fusion process to ensure consistent class definitions across diverse data sources. Our methodology addresses challenges such as underwater variation and class imbalance through tailored data augmentation, multi-scale feature analysis, temporal modeling, and weighted loss functions. …”
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Eco‐Friendly Biomass‐Based Carbon Dots, Carbon Nanotubes, Graphene, and Their Derivatives for Enhanced Oil Recovery: A New Horizon for Petroleum Industry by Ruhul Amin Foisal, Prof. Dr. Abu Bin Imran, Prof. Dr. Al‐Nakib Chowdhury

“…Abstract Oil extraction from reservoirs has never been easy, particularly when easily accessible oil sources run out. Enhanced oil recovery (EOR) is a dynamic area of petroleum engineering that seeks to maximize the quantity of crude oil that can be retrieved from an oil field. …”
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Robust Expansion Planning of Distribution Network in Presence of Electric Vehicles to Improve Economic Parameters and Reduce Energy Consumption by Mahyar Abasi, Javad Ebrahimi, Shirin Besati

“…The YALMIP toolbox in MATLAB software was utilized to model and solve the objective function of this problem, which is expressed in both deterministic and nondeterministic versions. …”
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In-Loop Adaptive Filters to Improve the Power Quality of Switched Reluctance Generator in WECS by Elmer O. Hancco Catata, Pedro Jose Dos Santos Neto, Marcelo Vinicius De Paula, Joao Pedro Carvalho Silveira, Tarcio Andre Dos Santos Barros, Ernesto Ruppert Filho

“…The notch cascading and moving average filters are implemented at the voltage loop of the voltage source converter in an adaptive form, as function of the SRG speed. …”
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Torsion Pendulum Apparatus for Ground Testing of Space Inertial Sensor by Shaoxin Wang, Zuolei Wang, Dongxu Liu, Peng Dong, Jian Min, Ziren Luo, Keqi Qi, Jungang Lei

“…To maintain this motion, the core payload-inertial sensor incorporates multiple functional units designed to mitigate various sources of stray force noise affecting the test mass. …”
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