Results 161 to 170 of about 609 (189)
GLIM‐defined malnutrition probably worsens overall survival in patients with gastroenterological cancer after surgery. ABSTRACT Background In cancer patients, malnutrition worsens postoperative outcomes, with increased complications and poor prognosis.
Ryota Matsui +4 more
wiley +1 more source
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Svitlana Korol +7 more
openalex +1 more source
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source
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Екатерина Евгеньевна Медведева
openalex +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Via‐Points Task Execution Based on Enhanced Dynamic Movement Primitives and Steering Force Fields
Enhanced dynamic movement primitives with steering force fields enable robotic arms to flexibly traverse static and dynamic via‐points while preserving demonstrated trajectory shapes. The method ensures stability, minimizes free‐space loss, and adapts to complex environments without additional learning, making it particularly suitable for industrial ...
Xumeng Cheng +6 more
wiley +1 more source
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim +4 more
wiley +1 more source

