Results 151 to 160 of about 3,446,366 (305)

Non-Parametric Analysis of ENSO Impacts on Yield Distributions: Implications for GRP Contract Design [PDF]

The paper reports preliminary results of non-parametric analysis of historical and crop model generated peanut yield series in the Southwest Georgia. The results suggest ENSO phase dependent differences in yield distributions that are similar for both ...
Hoogenboom, Gerrit, Novak, James L., Fraisse, Clyde W., Nadolnyak, Denis A., Vedenov, Dmitry V., Paz, Joel O.   +5 more
core  

Feature enhancement guided network for yield estimation of high-density jujube. [PDF]

Plant Methods, 2023
Cheng F, Wei J, Jiang S, Chen Q, Ru Y, Zhou H.   +5 more
europepmc   +1 more source

Circulating microRNA signatures of cachexia and cancer in Canis familiaris as a comparative oncology model for human disease

Molecular Oncology, EarlyView.
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park, Kyongman An, Gyeonghwa Kim, Soo‐Nyun Choi, Hong‐Ki Lee, Keun Hur, Kyu‐Shik Jeong   +6 more
wiley   +1 more source

Preoperative circulating tumor cells integrated with imaging analysis for prognostic evaluation in head and neck squamous cell carcinoma

Molecular Oncology, EarlyView.
Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach, Gizem Abaci, Tom Huberty, Axel Lechner, Lukas Käsmann, Jens Ricke, Sophia Stöcklein, Martin Canis, Philipp Baumeister, Marianna Alunni‐Fabbroni   +9 more
wiley   +1 more source

A longan yield estimation approach based on UAV images and deep learning. [PDF]

Front Plant Sci, 2023
Li D, Sun X, Jia Y, Yao Z, Lin P, Chen Y, Zhou H, Zhou Z, Wu K, Shi L, Li J.   +10 more
europepmc   +1 more source

Intrapatient tumour heterogeneity and clonal evolution in an autopsy study of metastatic salivary gland cancer

Molecular Oncology, EarlyView.
Tumour heterogeneity and clonal evolution of metastatic salivary gland cancer were evaluated in two patients with adenoid carcinoma and one patient with myoepithelial carcinoma. Radiology‐guided autopsy enabled multi‐region sampling (total samples n = 149), followed by whole‐genome sequencing and phylogenetic reconstruction (17 tumour samples, 4–7 per ...
Gerben Lassche, Niels J. van Ruitenbeek, Charlotte Adang, Luke O'Gorman, Pui Yuen Lee, Willemijn M. Klein, Adriana C. H. van Engen‐van Grunsven, Jack A. Schalken, Sander Bervoets, Gerald W. Verhaegh, Carla M. L. van Herpen   +10 more
wiley   +1 more source

Indirect Estimation of Yield-Price Elasticities

, 2020
While it is most common to estimate yield-price responses directly by regressing yields on prices, they may also be estimated indirectly by estimating fertilizer use elasticities and using basic optimization theory to derive yield-price elasticities ...
Paul T Scott
core  

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

A multi-source remote sensing and machine learning framework for maize mapping and yield estimation in fragmented Loess gully regions. [PDF]

Front Plant Sci
Sun L, Li H, Li S, Zhao S, Zhang Y, Mo Y, Zhang B, Wu Y.   +7 more
europepmc   +1 more source

Evaluating how lodging affects maize yield estimation based on UAV observations. [PDF]

Front Plant Sci, 2022
Liu Y, Nie C, Zhang Z, Wang Z, Ming B, Xue J, Yang H, Xu H, Meng L, Cui N, Wu W, Jin X.   +11 more
europepmc   +1 more source