Results 221 to 230 of about 41,584,039 (265)

HiCForecast: dynamic network optical flow estimation algorithm for spatiotemporal Hi-C data forecasting. [PDF]

Bioinformatics
Pinchuk D, Chowdhury HMAM, Pandeya A, Oluwadare O.   +3 more
europepmc   +1 more source

Counter‐Halide‐Directed Ion‐Pair Passivation Enables High‐Performance Wide‐Bandgap Perovskites for Perovskite/Cu(In,Ga)Se2 Tandem Solar Cells

Advanced Energy Materials, EarlyView.
Counter‐halide engineering of fluorobenzylammonium surface passivators reveals bromide as the optimal partner for wide‐bandgap perovskites. FBz–Br effectively stabilizes halide‐vacancy‐related defects and undercoordinated Pb sites, suppresses non‐radiative recombination, and enhances surface hydrophobicity and thermal stability.
Huyen Tran, Dong Gyu Lee, Ahreum Lee, Inchan Hwang, Van Hung Tran, Jun Hyeok Choi, Junseop Byeon, Yu Jin Kim, Sang Hwan Nam, Jihye Gwak, Seung Kyu Ahn, Sungjun Hong, Kihwan Kim, Bong Joo Kang, Minwoo Park, SeJin Ahn, Tae Kyung Lee, Inyoung Jeong   +17 more
wiley   +1 more source

Phasing nanopore genome assembly by integrating heterozygous variations and Hi-C data. [PDF]

Bioinformatics
Zhang J, Nie F, Luo F, Wang J.
europepmc   +1 more source

Nickel‐Free Perovskite Solar Cells Enabled by Self‐Assembled Monolayers: A Pathway to Efficient and Recyclable Devices

Advanced Energy Materials, EarlyView.
Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang, Roman Kučera, Sinuhé Perea‐Puente, Mykhailo Sytnyk, Andrew Hainer, Zijian Peng, Savannah Bennett, Juan S. Rocha‐Ortiz, Albert These, Hakan U Dag, Qi Fan, Anastasia Barabash, Zhenni Wu, Chaohui Li, Jens Hauch, Olga Kasian, Christoph J. Brabec, Ian Marius Peters   +17 more
wiley   +1 more source

scHiGex: predicting single-cell gene expression based on single-cell Hi-C data. [PDF]

NAR Genom Bioinform
Shrestha B, Siciliano AJ, Zhu H, Liu T, Wang Z.   +4 more
europepmc   +1 more source

Low Participation and Risk Reduction Potential of Supplemental Crop Insurance in the United States

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT Federally subsidized crop insurance is a cornerstone of U.S. farm risk management, yet policies with the greatest share of participation only trigger indemnities after losses exceed 15%. Supplemental insurance was introduced to cover part of this deductible, but participation remains largely unchanged.
Francis Tsiboe, Hunter Biram, Amy Hagerman   +2 more
wiley   +1 more source

DeCGR: an interactive toolkit for deciphering complex genomic rearrangements from Hi-C data. [PDF]

BMC Genomics
Li J, Sun M, Ye Y, Gao L.
europepmc   +1 more source

Complementary or Competitive? Emerging Interactions Between Restoration and Protection in the Conservation Reserve Program

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The USDA's Conservation Reserve Program (CRP) delivers environmental benefits to society by enrolling cropland and grasslands to reestablish or safeguard long‐term vegetative cover. In recent years, the CRP has dramatically increased grassland enrollment while cropland enrollment has been in steady decline. This paper uses descriptive analysis,
Wesley Zebrowski, Tyler Lark, Rich Iovanna   +2 more
wiley   +1 more source

Reconstructing 3D chromosome structures from single-cell Hi-C data with SO(3)-equivariant graph neural networks. [PDF]

NAR Genom Bioinform
Wang Y, Cheng J.
europepmc   +1 more source

The Effect of SNAP Purchasing Power on Diet Quality

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The Supplemental Nutrition Assistance Program (SNAP) benefits millions of eligible low‐income Americans by increasing access to food, helping to reduce food insecurity. Previous studies have documented that the geographical variation in local food prices leads to significant differences in SNAP's purchasing power.
Farah Khan, Augustine Denteh
wiley   +1 more source