Results 181 to 190 of about 35,357 (263)

Loss, persistence and reversal of phenotypic traits

Biological Reviews, EarlyView.
ABSTRACT The irreversibility of complex trait loss has long been a tenet of evolutionary biology. However, this idea is increasingly at odds with the numerous documented exceptions across the Tree of Life. We synthesise this growing body of evidence across a diverse array of taxa and traits, exploring the evolutionary conditions that enable ...
Giobbe Forni, Giuseppe Fusco, Filippo Nicolini, Heather Bruce, Andrea Luchetti   +4 more
wiley   +1 more source

Drivers and conservation impacts of innovative tree nesting in an isolated island population of the red-billed chough. [PDF]

Ecology
Blanco G, Notario D, Palacios-Martínez I, Frías Ó, Montoya Ayala R, Carrete M.   +5 more
europepmc   +1 more source

Characterization and immunogenicity of nanoparticle vaccines displaying embecovirus spike proteins

Biotechnology Progress, EarlyView.
Virus‐like particle vaccines displaying spike proteins from OC43, HKU1 A, and HKU1 B were evaluated in mice for their ability to elicit antibodies against the spike proteins from OC43, HKU1 A, HKU1 B, and HKU1 C. Abstract Endemic human coronaviruses OC43 and HKU1 cause widespread respiratory infections and can be associated with severe illness in ...
Peter J. Halfmann, Augustine Duffy, Alex Wee, Noah Anderson, Jackson Terrell, Yoshihiro Kawaoka, Ravi S. Kane   +6 more
wiley   +1 more source

Tribolium flour beetles are strongly attracted to decomposing wood, their putative historical habitat, over flour. [PDF]

Sci Rep
Rosenberger DW, Chung HE, Elsen SD, Leys CW, Pastoor IJ, Petno JS, Plankeel LR, Gerken AR.   +7 more
europepmc   +1 more source

Graphene Materials for Sustainable Energy Applications: A Contemporary Perspective

Carbon Energy, EarlyView.
ABSTRACT Graphene has garnered significant attention as a promising material with great potential for contributing to sustainable energy initiatives, such as RE100 (100% renewable energy initiative) and CF100 (100% carbon‐free initiative). This review aims to explore the potential of graphene for advancing renewable energy applications by highlighting
Niraj Kumar, Seul‐Yi Lee, Roop L. Mahajan, Soo‐Jin Park   +3 more
wiley   +1 more source

AGAPE (Computational G‑Quadruplex Stabilization Prediction): The First Machine Learning Workflow for G‑Quadruplex Stabilization Prediction. [PDF]

ACS Omega
D'Anna L, Contino S, Marinello R, Fares J, De Simone G, Monari A, Barbault F, Barone G, Terenzi A, Perricone U.   +9 more
europepmc   +1 more source

Porous Carbon Materials for Carbon Dioxide Capture

Carbon Energy, EarlyView.
This work aims to address the current status and challenges associated with the regulation of pore structures, as well as the influence of pore structures on CO2 capture. Systematic quantitative analysis of structure–property relationships, combined with machine learning approaches, can effectively evaluate the contributions of structural ...
Zhifu Liu, Chuhan Fu, Tao Qi, Hui Zhou, Guangping Hao, Yalou Guo, Guoping Hu   +6 more
wiley   +1 more source

Optimizing nitrogen use efficiency in forest plantations: mechanistic insights from <i>Arabidopsis</i>, crops, and natural forestry ecosystems. [PDF]

For Res (Fayettev)
Qin D, Wu R, Niu L, Jiang B, Li Y, Chai G, Luo J, An X.   +7 more
europepmc   +1 more source

Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells

Carbon Energy, EarlyView.
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood, Yuanyuan Qin, Abdul Sattar, Rabeea Eman, Faheem Abbas, Shan Wu, Yipeng Xu, Xu Zheng, Jiangying Lu, Wei Jiang, Jiankai Liu, Shudi Lu, Shizhong Yue, Zhijie Wang, Kong Liu, Xiaopeng Zheng, Shengchun Qu   +16 more
wiley   +1 more source

Ancient mitogenomes reveal the genetic relationship among extinct and extant water buffaloes. [PDF]

iScience
Liang XY, Liu XM, Lei XL, Hu Q, Guo X, Song S, Yu C, Yue H, Wang Y, Zhang J, Zhou X, Wang H, Ma L, Zhang H, Mo L, Sun G, Liu L, Chen X, Qin X, Yu H.   +19 more
europepmc   +1 more source