Results 51 to 60 of about 636 (117)

2023–2027 CAP First Pillar Reform and Livestock Sector: Production and Economic Impacts on Italian Specialized Dairy Cattle Farms

Applied Economic Perspectives and Policy, Volume 48, Issue 2, Page 382-396, May 2026.
ABSTRACTThe present study uses an agroeconomic supply model to assess the impacts of 2023–2027 CAP on Italian specialized dairy cattle farms. The model considers the voluntary choice of Eco‐Scheme 1, specifically addressed to livestock farms, through the implementation of binary variables.
Davide Dell'Unto, Raffaele Cortignani
wiley   +1 more source

Impact of Age on Surgical and Oncologic Outcomes After Colorectal Cancer Resection in Selected Patients Undergoing Primary Anastomosis: A Retrospective Propensity‐Matched Cohort Study

Cancer Medicine, Volume 15, Issue 5, May 2026.
ABSTRACT Background The impact of age on perioperative morbidity and long‐term oncologic outcomes in colorectal cancer remains controversial. Although aging is linked to greater comorbidity and functional decline, advances in perioperative care have challenged the idea that older patients have worse outcomes. This study evaluated surgical and oncologic
Camilo Ramírez‐Giraldo, Pablo González‐Sierra, Natalia Amado‐Peña, Marian Ochoa‐Patarroyo, Nicolás Navarro‐Pulido, Alejandro González Muñoz, Juan Carlos Vallejo‐Soto, Carlos Figueroa‐Avendaño, Andrés Isaza‐Restrepo   +8 more
wiley   +1 more source

Patient‐Reported Feedback Suggests an Alternative Sweet Spot for Deep Brain Stimulation Programming in Essential Tremor

Movement Disorders, Volume 41, Issue 5, Page 1209-1220, May 2026.
(1) To sample subjective patient rating using the Visual Analogue Scale (VAS), random stimulation parameters were presented to the study subjects. (2) Next, corresponding volumes of tissue activated (VTA) were generated and paired with VAS values.
Sophia Peschke, Jing Dong, Angelina Kirschner, Johannes Off, Juhi Shaik, Carla Palleis, Jan Hinnerk Mehrkens, Elisabeth Kaufmann, Maximilian Scherer, Thomas Koeglsperger   +9 more
wiley   +1 more source

Sustainable Ethanol‐Based Reversed‐Phase Liquid Chromatography for Determination of Diltiazem pKa and Quantification with Integrated Green and White Analytical Metrics

ChemistryOpen, Volume 15, Issue 5, May 2026.
A sustainable reversed‐phase liquid chromatography method is developed for diltiazem analysis and pKadetermination. The study integrates green and white analytical chemistry frameworks to evaluate environmental impact and practicality. The Environmental, Performance, and Practicality Index is utilized as a comprehensive, holistic tool for the ...
Zehra Üstün, İlkay Konçe, Ebru Çubuk Demiralay   +2 more
wiley   +1 more source

A comparison of graph construction techniques for applying graph signal processing to soil moisture networks

Discover Computing
Sensor networks let a farmer keep their eye on multiple locations in an agricultural field simultaneously but can be expensive to install, maintain and analyse.
Jurgen van den Hoogen, Dan Hudson, Martin Atzmueller   +2 more
doaj   +1 more source

Short-Term Traffic Flow Prediction Based on Improved Dilated Temporal-Spatio Graph Convolutional Network [PDF]

Jisuanji gongcheng
Traffic flow prediction for road networks plays a key role in intelligent transportation. Traffic flow not only exhibits high spatial correlation but also exhibits long-term correlation and periodicity in time characteristics.
LUO Xianglong, XU Zhongcheng, SU Yongdong, HE Xibin, LIU Ruochen
doaj   +1 more source

Rare Natural SNP Activates SHOOT APICAL MERISTEM ENLARGER1 to Increase Branch Number and Silique Number on the Main Inflorescence in Brassica napus

Plant Biotechnology Journal, Volume 24, Issue 5, Page 2768-2786, May 2026.
ABSTRACT Brassica napus is the second most important oil crop worldwide. Number of primary branches (Branch number, BN) and silique number on the main inflorescence (SMI) are key yield‐related quantitative traits. Here, we cloned a major QTL, qDB.A09, which simultaneously influences BN and SMI.
Sihao Zhang, Bao Li, Xiaoting Li, Song Yu, Yebitao Yang, Peipei Liu, Tanglingdian He, Wei Wang, Mei Li, Liang Guo, Jinxing Tu   +10 more
wiley   +1 more source

Enhancing Soil Moisture Active–Passive Estimates with Soil Moisture Active–Passive Reflectometer Data Using Graph Signal Processing

Remote Sensing
The Soil Moisture Active–Passive (SMAP) mission has greatly contributed to the use of remote sensing technologies for monitoring the Earth’s land surface and estimating geophysical parameters that influence the climate system.
Johanna Garcia-Cardona, Nereida Rodriguez-Alvarez, Joan Francesc Munoz-Martin, Xavier Bosch-Lluis, Kamal Oudrhiri   +4 more
doaj   +1 more source

Joint Topology Learning and Latent Input Identification Using Spatio-Temporally Linear Structured SEM

Mathematics
Topology identification and signal inference are cornerstone tasks in graph signal processing (GSP). Structural Equation Modeling (SEM) is particularly effective for network inference as it explicitly captures causal dependencies.
Jie Zhou, Rui Yang, Xintong Shi, Shuyang Feng   +3 more
doaj   +1 more source

Time-varying graph learning from smooth and stationary graph signals with hidden nodes

EURASIP Journal on Advances in Signal Processing
Learning graph structure from observed signals over graph is a crucial task in many graph signal processing (GSP) applications. Existing approaches focus on inferring static graph, typically assuming that all nodes are available.
Rong Ye, Xue-Qin Jiang, Hui Feng, Jian Wang, Runhe Qiu, Xinxin Hou   +5 more
doaj   +1 more source