Results 71 to 80 of about 48,445 (253)
PD‐1 Inhibits CD4+ TRM‐Mediated cDC1 Mobilization via Suppressing JAML in Human NSCLC
CD4+ tissue‐resident memory T cells (TRMs) in non‐small cell lung cancer recruit conventional type 1 dendritic cells via XCL1‐XCR1 signaling, orchestrating antitumor immunity. The costimulatory molecule JAML is essential for this process. PD‐1 blockade restores JAML expression and cDC1 mobilization, while JAML agonists synergize with anti‐PD‐1 therapy,
Zheyu Shao +16 more
wiley +1 more source
The effect of storage temperature at 7°Con the physical-chemical and microbiological quality of industrialized cooked chicken breast meat was analyzed. Frozen cooked breast meat supplied from a poultry-processing industry was used. Fillets were stored at
Sandriane Pizato +3 more
doaj +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Effect of the Addition of Carnosine on the Color Stability of Meat and Meat Products.
豚肉に食塩を添加し好気的に保持すると変色や色素量の減少が起こるが, これらに対するカルノシンによる抑制効果を調べた。と畜後24時間の豚腿部挽肉に食塩を2%添加し, これにカルノシンを0.5~1.0%添加した試料を調製し好気的条件下で1週間, 2~3℃で保存した。その結果, カルノシン無添加の試料と比べ, 添加試料では赤色度が増加し, カルノシンは食塩添加によるヘム色素の減少を抑制した。カルノシン添加によりミオグロビンのメト化率およびTBAR値は共に低くなり, 貯蔵中の脂質酸化は抑制された。この系に, 亜硝酸ナトリウムを100ppm添加し嫌気的条件下 (真空包装) で1週間塩漬し加熱した結果, 対照となる無添加試料と比べ0.5%カルノシン添加試料で発色率が高くなった。加熱塩漬肉試料では ...
SAKATA, Ryoichi +2 more
openaire +2 more sources
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
Effects of long-time and short-time heat stress on the meat quality of geese
: This investigation sought to reveal the effects of heat stress on the meat quality of geese. Wuzong geese were subjected to heat stress at 35°C for 25 d or 4 h to examine different heat stress time on meat quality. Short-time heat stress reduced muscle
Ying Yang +6 more
doaj +1 more source
Mapping the “Supply–Demand–Flow” of Ecosystem Services for Ecosystem Management in China
This study develops a “supply–demand–flow” framework clarifies how ecosystem services move between regions by distinguishing potential and actual supply and demand. Using integrated biophysical–socioeconomic modeling, nine services in China were mapped.
Yikun Zhang +3 more
wiley +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Introductioncolor as perceived by consumers serves as a valuable guide for assessing overall quality and wholesomeness of meat. The bright cherry-red color of beef is influenced by tissue oxygen consumption, obstacles to oxygen diffusion, and thickness of the oxymyoglobin layer. The dynamics of meat color depend on several physical properties of muscle
A. Mohan +3 more
openaire +2 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source

