Results 111 to 120 of about 8,962 (250)

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

Differentially private multivariate time series forecasting of aggregated human mobility with deep learning: Input or gradient perturbation? [PDF]

Neural Comput Appl, 2022
Arcolezi HH, Couchot JF, Renaud D, Al Bouna B, Xiao X.   +4 more
europepmc   +1 more source

Cost Pass‐Through in Crisis: Evidence From the German Malt‐Beer Supply Chain

Agribusiness, EarlyView.
Abstract Global agri‐food supply chains are increasingly exposed to geopolitical shocks, climate volatility, and market consolidation, factors that disrupt traditional price relationships and reshape market power dynamics. Nowhere is this more visible than in the brewing sector, where agricultural raw materials meet complex industrial processing and ...
Nikolas Bublik, Lukáš Čechura
wiley   +1 more source

Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory. [PDF]

Energy (Oxf), 2021
Liu X, Lin Z.
europepmc   +1 more source

Sex‐Based Body Composition Changes in Patients With Rectal Cancer Undergoing Preoperative Chemoradiotherapy: A Prospective Observational Study

Annals of Gastroenterological Surgery, EarlyView.
This prospective study observed that preoperative chemoradiotherapy for rectal cancer was associated with reductions in body fat and grip strength, which appeared to be more pronounced in female patients. These findings suggest that sex‐sensitive nutritional and exercise support may be beneficial to help maintain muscle mass and physical function ...
Shinya Abe, Hiroaki Nozawa, Kentaro Abe, Yumi Yokota, Shunsuke Hori, Yusuke Taguchi, Mitsutaka Yakabe, Kazuhito Sasaki, Sumito Ogawa, Soichiro Ishihara   +9 more
wiley   +1 more source

PiTransformer: A Gated Patch-Wise Inverted Transformer for Stochastic Multivariate Time Series Forecasting

Mathematics
Multivariate time series forecasting presents a challenging problem in stochastic modeling, particularly under non-stationary conditions with low signal-to-noise ratios.
Lin Zhu, Kai Cheng
doaj   +1 more source

Lymphocyte‐C‐Reactive Protein Ratio as Promising New Marker for Predicting Surgical Site Infection in Children With Ulcerative Colitis

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Surgical site infection (SSI) is a major complication after ileal pouch–anal anastomosis (IPAA) in pediatric ulcerative colitis (UC), significantly impairing quality of life. The lymphocyte‐to–C‐reactive protein ratio (LCR), a composite marker of systemic inflammation and immune/nutritional status, has emerged as a potential ...
Yuhki Koike, Koki Higashi, Yuki Sato, Yuka Nagano, Tadanobu Shimura, Takahito Kitajima, Kohei Matsushita, Yoshiki Okita, Yoshinaga Okugawa, Yuji Toiyama   +9 more
wiley   +1 more source

Single‐Incision Laparoscopy‐First Strategy in Crohn's Disease: Risk Factors for Conversion and Surgical Outcomes

Annals of Gastroenterological Surgery, EarlyView.
In this retrospective study of 289 patients with Crohn's disease undergoing a single‐incision laparoscopy‐first (SILS‐first) strategy, conversion to open surgery was required in only 11.8% of cases. Fistula formation, colon resection, and smoking history were identified as independent risk factors for conversion, while postoperative complications and ...
Yuki Horio, Motoi Uchino, Yusuke Tomoo, Kentaro Nagano, Kurando Kusunoki, Ryuichi Kuwahara, Kei Kimura, Kozo Kataoka, Masataka Ikeda, Hiroki Ikeuchi   +9 more
wiley   +1 more source

Client: Cross-variable linear integrated enhanced transformer for multivariate long-term time series forecasting

AI Open
Long-term time series forecasting (LTSF) is crucial in modern society, playing a pivotal role in facilitating long-term planning and developing early warning systems. While many Transformer-based models have recently been introduced for LTSF, a doubt has
Jiaxin Gao, Wenbo Hu, Dongxiao Zhang, Yuntian Chen   +3 more
doaj   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source