Results 51 to 60 of about 39,453 (246)

Tunable Switching Mechanisms in HfZrO2‐Based Tunnel Junctions for High‐Performance Synaptic Arrays

Advanced Science, EarlyView.
This work demonstrates hybrid switching in engineered HZO‐based FTJs, enabled by controlled interlayer design and oxygen scavenging dynamics. The combined switching mechanism produces robust multilevel conductance states in large crossbar arrays, offering a materials‐driven pathway toward scalable in‐memory computing with enhanced tunability and ...
Jiwon You, Jeong‐Han Kim, Minsuk Song, Been Kwak, Eun Chan Park, Manh‐Cuong Nguyen, Wonjun Shin, Jangsaeng Kim, Daewoong Kwon   +8 more
wiley   +1 more source

The Maize ZmbHLH118 Transcription Factor Regulates Vacuolar Nitrate Loading by the NO3− Transporter ZmCLCa

Advanced Science, EarlyView.
In maize, the bHLH transcription factor ZmbHLH118 directly binds to the promoter of ZmCLCa and inhibits its expression. Tonoplast‐localized ZmCLCa mediates NO3− influx into the vacuole to regulate intracellular NO3− homeostasis, modulating nitrate uptake and metabolism, plant growth, and grain yield.
Chaonan Zhang, Elsa Demes‐Causse, Xujian Li, Zhenhui Guo, Hanshu Zhao, Huairong Cao, Yajing Song, Lijun Mu, Kaikai Zhang, Jing Zhang, Zhongtao Jia, Lixing Yuan, Alexis De Angeli, Jingbo Zhang   +13 more
wiley   +1 more source

Clinical burden and treatment patterns associated with Dravet or Lennox-Gastaut syndromes: A retrospective study using natural language processing of narrative unstructured electronic health records

Heliyon
Introduction: This study aimed to investigate the clinical and humanistic burden in two developmental and epileptic encephalopathies, Dravet syndrome and Lennox-Gastaut syndrome, and describe challenges related to treatment with antiseizure medications ...
Mei Lu, Dave Iwanyckyj, Sally W. Wade, Pablo Racana, Fernando Otalora, Satish Rao   +5 more
doaj   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Deep learning approach to text analysis for human emotion detection from big data

Journal of Intelligent Systems, 2022
Emotional recognition has arisen as an essential field of study that can expose a variety of valuable inputs. Emotion can be articulated in several means that can be seen, like speech and facial expressions, written text, and gestures.
Guo Jia
doaj   +1 more source

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

Applied Economic Perspectives and Policy, EarlyView.
ABSTRACT The 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

Communication models in a foreign language in relation to cognitive style category width and power distance

Frontiers in Psychology
IntroductionUnderstanding how category width of cognitive style and power distance impact language use in cultures is crucial for improving cross-cultural communication. We attempt to reveal how English foreign language students, affected by high-context
Dasa Munkova, Eva Stranovska, Michal Munk, Michal Munk   +3 more
doaj   +1 more source

Breaking Down Lignin: A Macromolecule's Path to the Nanoscale

Advanced Energy and Sustainability Research, EarlyView.
This section highlights lignin's critical role as a sustainable, multifunctional precursor for nanomaterial design. Its unique structure and abundance enable the creation of lignin‐based, lignin‐derived, and hybrid nanomaterials with tunable properties. Emphasis is placed on lignin's potential to drive innovation in nanotechnology, offering ecofriendly
Jelena Papan Djaniš, Jan Hočevar, Griša Grigorij Prinčič, Jernej Iskra   +3 more
wiley   +1 more source

Volatility analysis and forecasting of vegetable prices using an ARMA‐GARCH model: An application of the CF filter and seasonal adjustment method to Korean green onions

Agribusiness, EarlyView.
Abstract The vegetable market experiences significant price fluctuations due to the complex interplay of trend, cyclical, seasonal, and irregular factors. This study takes Korean green onions as an example and employs the Christiano–Fitzgerald filter and the CensusX‐13 seasonal adjustment methods to decompose its price into four components: trend ...
Yiyang Qiao, Byeong‐il Ahn
wiley   +1 more source