Results 181 to 190 of about 569,080 (244)

Microbial Signals in Cancer: Dissecting Host–Microbiota–Tumor Interactions and Potential Therapeutic Strategy

MedComm, Volume 7, Issue 9, September 2026.
Microbial signals from gut and tumor‐resident bacteria, fungi, viruses, and bacteriophages reshape immune and metabolic networks within the tumor microenvironment, thereby influencing cancer progression, treatment response. Therapeutic modulations, including dietary interventions, probiotics, antibiotics, fecal microbiota transplantation, engineered ...
Juan Lu, Mengjuan Xuan, Liang Yu, Zhongyang Xie, Qingfei Chu, Shihui Wei, Tuokai Wang, Chen Xue, Lanjuan Li   +8 more
wiley   +1 more source

Metal‐Filamentary Memristor‐Based Artificial Neurons for Embodied Neuromorphic Intelligence

Rare Metals, Volume 45, Issue 9, September 2026.
ABSTRACT Embodied neuromorphic intelligence represents a transformative paradigm for next‐generation intelligent systems, with broad implications for robotics, autonomous driving, intelligent manufacturing, and smart infrastructures. Neuromorphic chips enable bioinspired computing with sparse, heterogeneous representations and spatiotemporal dynamics ...
Tianci Huang, Zuqing Yuan, Qilin Hua
wiley   +1 more source

The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology

Sustainable Development, Volume 34, Issue 5, Page 7456-7490, September 2026.
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley   +1 more source

Bionic Tactile Skins for Robotics: Fundamentals, Advances, and Future Prospects

SmartSys, Volume 2, Issue 3, September 2026.
ABSTRACT Robotic bionic tactile skins (RBTSs), as crucial components of next‐generation robotic systems, have attracted significant attention in recent years. By enabling robots to achieve human‐like tactile perception and interact effectively with their surroundings, RBTSs play an essential role in enhancing robotic intelligence.
Jiajun Wu, Zitong Zhang, Xuhui Zhou, Yu Meng, Jie Ni, Junshan Liu, Faheng Zang, Xiaojun Guo, Zhuoqing Yang   +8 more
wiley   +1 more source

Multi‐Modal AI Approach in Depression Detection and Treatment: A Systematic Review of Last Decade

WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.
Overview of multimodal approaches for depression detection and treatment. ABSTRACT Depression is a common and devastating mental health illness with serious personal and societal consequences. Despite advancing treatment techniques, there are still hurdles in the effective diagnosis and treatment of depression, such as prompt diagnosis, personalized ...
Smith K. Khare, Esmaeil S. Nadimi, U. Rajendra Acharya, Victoria Blanes‐Vidal   +3 more
wiley   +1 more source

Calcareous Benthic Foraminifera Under Ocean Alkalinity Enhancement: Synthesis, Knowledge Gaps, and Future Research Agenda

Earth's Future, Volume 14, Issue 9, September 2026.
Abstract Limiting global warming to 1.5°C will require carbon dioxide removal, and Ocean Alkalinity Enhancement (OAE) is increasingly being explored as a marine carbon dioxide removal pathway. However, benthic biological responses remain much less constrained than water‐column processes and planktonic responses, even though calcareous benthic ...
George Henry, Daniela Basso
wiley   +1 more source

Integrated Mechanisms of Soil–Plant System Resilience to Drought–Flood Abrupt Alternation in Maize

Journal of Agronomy and Crop Science, Volume 212, Issue 5, September 2026.
ABSTRACT Drought–flood abrupt alternation is a frequent compound stress under climate change, threatening crop production. However, how crops integrate soil, root and leaf signals for systemic adaptation remains unclear. Maize was subjected to different drought intensities (mild, moderate and severe) followed by flooding durations (3 and 6 days), with ...
Yun Gao, Zhijuan Zhao, Ping Li, Qinlin Niu, Han Du, Jinpeng Cheng, Rui Zhu   +6 more
wiley   +1 more source

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Dynamic Analysis of Modular Multilevel Converters

IEEE Transactions on Industrial Electronics, 2013
Theory for the dynamics of modular multilevel converters is developed in this paper. It is shown that the sum capacitor voltage in each arm often can be considered instead of the individual capacitor voltages, thereby significantly reducing the complexity of the system model.
Hans-Peter Nee, Lennart Harnefors, Staffan Norrga   +2 more
exaly   +2 more sources

Modular multilevel converters

, 2021
A modular multilevel converter (MMC) is one of the promising topologies for medium- to high-voltage, high-power applications. This chapter deals with the operation, control, and applications of an MMC.
Apparao Dekka, Venkata Yaramasu, Ricardo Lizana Fuentes, Deepak Ronanki   +3 more
openaire   +2 more sources

Multisampling in interleaved converters and modular multilevel converters

IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society, 2016
This paper presents a method for sampling the analog variables and running the controller in multi-cell converters with a frequency higher than the switching frequency. First we introduce the multi-cell converters and highlight their similarities. Next we describe the devised method and explain the strategy to avoid simultaneous sampling and switching ...
Tomás Perpetuo Corrêa, Oliver König, Roland Greul   +2 more
openaire   +1 more source