Results 121 to 130 of about 219,190 (262)

‘The most advanced outpost of cultivation’: palynological evidence for cereal agriculture and population resilience in a marginal upland environment

Journal of Quaternary Science, EarlyView.
ABSTRACT Upland farming in Europe is frequently assumed to have been limited and precarious, despite relict spade‐dug ridges providing firm evidence of past crop growing. Direct evidence for crop types in post‑Medieval to Modern (~since 1500 CE) uplands is rare; yet, in Ireland, relict spade‐dug ridges that date to this period are commonly interpreted ...
Helen Essell, Gill Plunkett
wiley   +1 more source

Common‐Mode Rejection Shifted‐Excitation Raman Difference Spectroscopy (CMR‐SERDS) Preserves Broad Structure Predictive of Soil Organic Carbon

Journal of Raman Spectroscopy, EarlyView.
Common‐mode rejection (CMR) is introduced as a physics‐motivated preprocessing method for shifted excitation Raman difference spectroscopy (SERDS) that removes the shared background of paired measurements while preserving the noncommon excitation‐dependent component. Applied to more than 900 North American soil samples, CMR improves soil organic carbon
Mahsa Zarei, Miayan Larose, Natalia V. Solomatova, Sadegh Shokatian, Edward Grant   +4 more
wiley   +1 more source

Concrete strength prediction using domain-driven feature engineering and explainable LightGBM. [PDF]

Sci Rep
Hereiz A, Elsahy M, Hassan K, El-Metwally S.   +3 more
europepmc   +1 more source

Technology‐Driven Transformation of Compensation Systems: Mapping the Causal Structure of Digital Reward Systems

Strategic Change, EarlyView.
ABSTRACT Traditional reward systems, which are largely salary‐centered and structurally rigid, are no longer sufficient in an era defined by digital transformation. Building on this premise, this study examines how emerging technologies reshape integrated compensation systems by uncovering their causal, mediating, and outcome‐oriented roles.
Seyed Hossein Razavi Hajiagha, Hannan Amoozad Mahdiraji, Farzaneh Soltani, Gu Pang, Georgia Sakka, Salar Keshavarz Hedayati   +5 more
wiley   +1 more source

No good Markov strategies for Büchi objectives in countable MDPs. [PDF]

Ann Oper Res
Kiefer S, Mayr R, Shirmohammadi M, Totzke P.   +3 more
europepmc   +1 more source

Health risk assessment of heavy metal accumulation in fruits exposed to geothermal waters: a case study and global implications

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study investigated the potential health risks of heavy metals (HMs) in the fruits and leaves of mulberry and sour cherry trees exposed to water from Sivas geothermal basin (Turkey). RESULTS The target HMs were ranked according to their hazard index as: Cd < Pb < Zn < Cu < Ni < Mn < Cr. The total hazard index for mulberry
E Işıl Arslan Topal, Murat Topal, Erdal Çelik, Erdal Öbek   +3 more
wiley   +1 more source

High-fidelity crop modelling: innovations driving sustainable fruit horticulture. [PDF]

Front Plant Sci
Das U, Mailappa AS, Nicolae S, Prasad SS, Dishri M.   +4 more
europepmc   +1 more source

Future Soil Erosion Under Combined CMIP6 Climate Projections and Land Use/Land Cover Change: A RUSLE‐Based Assessment of the Kampe Omi Dam Basin in Nigeria

Land Degradation &Development, EarlyView.
ABSTRACT Soil erosion remains a major environmental challenge in Nigeria, driven by the combined effects of climate variability and land use/land cover (LULC) changes. Understanding future dynamics is essential for effective soil conservation planning.
Titus Adeyemi Alonge, Amos T. Kabo‐Bah, Lily Lisa Yevugah, Abdul‐Karim Iddrisu   +3 more
wiley   +1 more source

Development and internal validation of a nomogram and machine-learning models for postoperative recurrence in adult patients with chronic rhinosinusitis with nasal polyps. [PDF]

Front Med (Lausanne)
Song L, Zhang X, Feng M, Deng X, He X, Jiang H, Yu L, Shi H, Pi J.   +8 more
europepmc   +1 more source

Adaptive Non-Deterministic Decision Trees: General Formulation and Case Study

, 2006
This paper introduces the adaptive non-deterministic decision tree, a formal device derived from adaptive device theory. ANDD-tree is a new framework for the development of supervised learning techniques. The general formulation of this framework, a case study and some experimental results are also presented.
Pistori, Hemerson, Neto, João José, Pereira, Mauro Conti   +2 more
openaire   +1 more source