Showing 2,581 - 2,600 results of 2,762 for search '"Black ', query time: 0.05s Refine Results
  1. 2581

    Stability of compact stars in a uniform density background cloud by Ksh. Newton Singh, S. K. Maurya, A. Errehymy, O. Donmez, K. Myrzakulov, T. T. Smitha

    Published 2024-12-01
    “…Furthermore, we have discussed the possibility of the secondary component of GW200210 i.e. the less massive compact object with an upper mass of $$3.3M_\odot $$ 3.3 M ⊙ , which may be a stellar black hole with a Schwarzschild radius $$R_{\text {BH}} = 9.746$$ R BH = 9.746 km. …”
    Get full text
    Article
  2. 2582

    The potential of recycling wool residues as an amendment for enhancing the physical and hydraulic properties of a sandy loam soil by Ahmed Abdallah, Francesca Ugolini, Silvia Baronti, Anita Maienza, Francesca Camilli, Laura Bonora, Francesca Martelli, Jacopo Primicerio, Fabrizio Ungaro

    Published 2024-01-01
    “…Method Two different SWRs were used: scoured residues (white wool, WW) and carbonized scoured residues (black wool, BW) at different SWRs/soil ratios (0.0, 0.5, 1.0 and 2.0%). …”
    Get full text
    Article
  3. 2583

    GR-Athena++: General-relativistic Magnetohydrodynamics Simulations of Neutron Star Spacetimes by William Cook, Boris Daszuta, Jacob Fields, Peter Hammond, Simone Albanesi, Francesco Zappa, Sebastiano Bernuzzi, David Radice

    Published 2025-01-01
    “…It handles evolutions with a microphysical equation of state and black hole formation in the gravitational collapse of a rapidly rotating star. …”
    Get full text
    Article
  4. 2584
  5. 2585

    Ontologies in modelling and analysing of big genetic data by N. L. Podkolodnyy, O. A. Podkolodnaya, V. A. Ivanisenko, M. A. Marchenko

    Published 2025-01-01
    “…One of the main problems of deep learning is the lack of interpretability, since neural networks often function as “black boxes” unable to explain their decisions. This paper describes approaches to creating methods for interpreting deep learning models and presents two examples of self-explanatory ontology-based deep learning models: (1) Deep GONet, which integrates Gene Ontology into a hierarchical neural network architecture, where each neuron represents a biological function. …”
    Get full text
    Article
  6. 2586

    Characterization of the Beekeeping Value Chain: Challenges, Perceptions, Limitations, and Opportunities for Beekeepers in Kayonza District, Rwanda by Borden Mushonga, Landouard Hategekimana, Gervais Habarugira, Erick Kandiwa, Alaster Samkange, Basiamisi Victor Ernest Segwagwe

    Published 2019-01-01
    “…The hive pests encountered were hive beetles (25%), small black ants (19%), wax moths (12%), lizards (8%), termites (7%), birds (6%), mites (3%), and mice (2%). …”
    Get full text
    Article
  7. 2587

    Iron deficiency, supplementation, and sports performance in female athletes: A systematic review by Michael Pengelly, Kate Pumpa, David Bruce Pyne, Naroa Etxebarria

    Published 2025-12-01
    “…Studies were assessed using a modified Downs and Black Quality Assessment Checklist. Results: A total of 23 studies comprising 669 athletes (age range: 13–47 years) across 16 sports were included in the review. …”
    Get full text
    Article
  8. 2588

    Effects of Different Nitrogen Fertilizer Application Rates on Soil Microbial Structure in Paddy Soil When Combined with Rice Straw Return by Xiannan Zeng, Qi Wang, Qiulai Song, Quanxi Liang, Yu Sun, Fuqiang Song

    Published 2025-01-01
    “…Metagenomic sequencing of the microbial soil community was used to assess the effect of various nitrogen fertilizer treatments in combination with constant rice straw return to the soil in the tiller layer of Northeast China’s black paddy soil used for rice production. Here, we investigated changes in the composition, diversity, and structure of soil microbial communities in the soil treated with four amounts of nitrogen fertilizers (53, 93, 133, and 173 kg/ha) applied to the soil under a constant straw return of 7500 kg/ha, with a control not receiving N. …”
    Get full text
    Article
  9. 2589

    H-AMR FORGE’d in FIRE. I. Magnetic State Transitions, Jet Launching, and Radiative Emission in Super-Eddington, Highly Magnetized Quasar Disks Formed from Cosmological Initial Cond... by Nicholas Kaaz, Matthew Liska, Alexander Tchekhovskoy, Philip F. Hopkins, Jonatan Jacquemin-Ide

    Published 2025-01-01
    “…Quasars are powered by supermassive black hole (SMBH) accretion disks, yet standard thin disk models are inconsistent with many observations. …”
    Get full text
    Article
  10. 2590
  11. 2591

    β-Fructofuranosidase and β –D-Fructosyltransferase from New Aspergillus carbonarius PC-4 Strain Isolated from Canned Peach Syrup: Effect of Carbon and Nitrogen Sources on Enzyme Pr... by Gustavo Carvalho do Nascimento, Ryhára Dias Batista, Claudia Cristina Auler do Amaral Santos, Ezequiel Marcelino da Silva, Fabrício Coutinho de Paula, Danylo Bezerra Mendes, Deyla Paula de Oliveira, Alex Fernando de Almeida

    Published 2019-01-01
    “…β-fructofuranosidase (invertase) and β-D-fructosyltransferase (FTase) are enzymes used in industrial processes to hydrolyze sucrose aiming to produce inverted sugar syrup or fructooligosaccharides. In this work, a black Aspergillus sp. PC-4 was selected among six filamentous fungi isolated from canned peach syrup which were initially screened for invertase production. …”
    Get full text
    Article
  12. 2592

    Bacterial profiling of mask waste from terrestrial and marine environment by A. Rakhmawati, B. Octavia, S. Marwati, D. Kristanti

    Published 2024-10-01
    “…Bacterial isolates were screened in a minimal salt medium supplemented with three types of masks (black duckbill, blue medical, white Korean filter) as the sole carbon and energy source at the various potential of hydrogen levels (5, 7, 9), temperatures (10, 30, 50 degrees Celsius), and sodium chloride concentrations (2.5, 5.0, 7.5 percent). …”
    Get full text
    Article
  13. 2593

    Adolescent Youth Survey on HIV Prevention and Sexual Health Education in Alabama: Protocol for a Web-Based Survey With Fraud Protection Study by Henna Budhwani, Ibrahim Yigit, Josh Bruce, Christyenne Lily Bond, Andrea Johnson

    Published 2025-01-01
    “…A total of 30% self-reported their race as African American or Black; 12% were Hispanic or Latinx. More than half reported being sexually active in the past 6 months. …”
    Get full text
    Article
  14. 2594

    Gastroprotective Value of Berries: Evidences from Methanolic Extracts of Morus nigra and Rubus niveus Fruits by Luciane Angela Nottar Nesello, Maria Luisa Maes Lima Beleza, Marihá Mariot, Luísa Nathália Bolda Mariano, Priscila de Souza, Adriana Campos, Valdir Cechinel-Filho, Sérgio Faloni Andrade, Luísa Mota da Silva

    Published 2017-01-01
    “…This study evaluated the gastroprotective value of the methanol extracts from fruits of Morus nigra L. (black mulberry (MEMN)) and Rubus niveus Thunb (raspberry (MERN)). …”
    Get full text
    Article
  15. 2595

    A molecular toxicological study to explore potential health risks associated with ultrafine particle exposure in cold and humid indoor environments by Ziyu Shu, Shuo Qing, Xu Yang, Ping Ma, Yang Wu, Baizhan Li, Fangxin Fang, Runming Yao

    Published 2025-01-01
    “…This study aims to elucidate the synergistic effects of cold-humid conditions and UFPs exposure on respiratory health, utilizing Carbon Black Nanoparticles (CB-NPs) as surrogates for UFPs. …”
    Get full text
    Article
  16. 2596

    Forestry features of regionalization of forest reproductive material by Oleg Danchuk, Vasyl Blystiv, Zinovii Yurkiv, Vitaly Vovchanskyi

    Published 2024-09-01
    “…An analysis of the application of regionalization for individual introduced species, primarily red oak, Douglas fir, and black locust, demonstrates the wide distribution of these species in our country and the need for appropriate forestry monitoring of their potential ability to form local populations in Ukraine and, accordingly, the possibility of regionalization of the area occupied by them. …”
    Get full text
    Article
  17. 2597

    Automating airborne pollen classification: Identifying and interpreting hard samples for classifiers by Manuel Milling, Simon D.N. Rampp, Andreas Triantafyllopoulos, Maria P. Plaza, Jens O. Brunner, Claudia Traidl-Hoffmann, Björn W. Schuller, Athanasios Damialis

    Published 2025-01-01
    “…Yet, despite an abundance of available datasets, little effort has been spent to investigate which aspects pose the biggest challenges to the (often black-box- resembling) pollen classification approaches. …”
    Get full text
    Article
  18. 2598

    Microplastics contamination in two peripheral fish species harvested from a downstream river by M.R. Maulana, S. Saiful, Z.A. Muchlisin

    Published 2023-04-01
    “…It also had three colors in the alimentary tract of mullet and bagok catfish, namely red, blue, and black, which was predominant. The fourier transform infrared spectrum showed several wavenumber peaks signifying alkane compounds’ presence, which are microplastic characteristics. …”
    Get full text
    Article
  19. 2599

    A holistic review of nanomaterials in strain-hardening cementitious composites: Insights into micro- and macromechanical, deformation, smart, and durability properties by Isyaka Abdulkadir, Leong Sing Wong, Lee Woen Ean, G. Murali, Bashar S. Mohammed

    Published 2025-03-01
    “…Different types of NMs, such as nano silica (NS), and carbon-based nanomaterials—including carbon nanotubes/nanofibers (CNTs/NFs), graphene oxide (GO), and carbon black (CB)—influence SHCC behavior through multiple mechanisms. …”
    Get full text
    Article
  20. 2600

    Evaluation of the Antimicrobial Activity of Phytochemicals from Tea and Agarwood Leaf Extracts against Isolated Bacteria from Poultry and Curd by Shah Rucksana Akhter Urme, Syeda Fahmida Ahmed, Mohammed Mostafa Al Quadir, Mst Rubaiat Nazneen Akhand, Mohammad Mehedi Hasan Khan

    Published 2023-01-01
    “…Fresh tea (Camellia sinensis) leaves were collected in three varieties, namely, BT-6 from Sylhet, BT-7 from Moulvibazar, and BT-8 from Habiganj; also, green tea (nonfermented tea), black tea (fully fermented tea), and agarwood (Aquilaria malaccensis) were collected from Sylhet region of Bangladesh. …”
    Get full text
    Article