Results 111 to 120 of about 837,112 (360)

Independent Prognostic Significance of Perforation in Colorectal Cancer: Insights From a Propensity Score‐Matched Cohort Study

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Perforated colorectal cancer (PCC) is considered to have a poor prognosis; however, it remains unclear whether this is attributable to perforation itself or to perforation‐related clinicopathological factors. In this study, we analyzed prognosis using propensity score matching with perforation‐related factors and demonstrated that perforation is an ...
Yoshiaki Fujii   +8 more
wiley   +1 more source

Integrating climate change adaptation and mitigation objectives in British Columbia's forests [PDF]

open access: yes, 2019
Climate change mitigation and adaptation objectives have usually been treated separately in policies and interventions addressing climate change in the forests.
Hagerman, Shannon   +3 more
core  

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod   +10 more
wiley   +1 more source

ON SOME ASPECTS OF THE MANAGEMENT OF A STOCHASTICALLY DEVELOPING FOREST [PDF]

open access: yes
In this paper I focus on some important biological aspects of the forest management problem. I model a stochastically developing forest as a multidimensional, continuous-time Markov chain.
Batabyal, Amitrajeet A.
core   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Informality, institutional inconsistency and information asymmetry as barriers for entrepreneurship and innovation in the non-wood forest products sector in Republic of North Macedonia

open access: yesCentral European Forestry Journal
Non-wood forest products (NWFPs) are crucial for rural development, offering opportunities for entrepreneur-ship and innovation in forest-dependent areas.
Stojanovski Vladimir   +3 more
doaj   +1 more source

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

PUBLIC FOREST RESOURCE MANAGEMENT IN THE PHILIPPINES: TIMBER PRODUCTION, EXTERNALITIES, AND AGRICULTURAL EXPANSION [PDF]

open access: yes
A dynamic model of deforestation and agricultural expansion in the Philippines is developed to elucidate the economic factors driving current land use trends and determine the efficacy of prevailing public forest management regulations.
Garcia, Marissa C., Lee, Donna J.
core   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

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