Results 141 to 150 of about 3,734,042 (289)

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Locomotor Health in Modern Broiler Chickens: Risk Factors, Major Disorders, Assessment Methods, and Implications for Welfare and Production Efficiency. [PDF]

Animals (Basel)
Lisiecka E, Kościów W, Łukasiewicz Mierzejewska M.   +2 more
europepmc   +1 more source

Towards Human‐Centered Intelligent Inhabitable Spaces: A Review

Advanced Intelligent Systems, EarlyView.
This review introduces Robot‐Rooms as a new category of architectural‐scale robots that do not operate within a space but actively form and reconfigure the space around their occupants. Drawing from robotics, HCI, architecture, and the arts, an interdisciplinary framework is proposed that maps the enabling technologies and integration challenges ...
Nithesh Kumar, Ge Lv, Keith E. Green, Ian D. Walker   +3 more
wiley   +1 more source

High rates of cognitive impairment in people experiencing homelessness demand radical policy change. [PDF]

CMAJ
Ghosh SM.
europepmc   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

Airflow constraints govern natural airborne transmission of tuberculosis. [PDF]

mSphere
Naqvi KF, Guo Y, Kulkarni Y, Sapkota D, Lu P, Wang S, Dias BRS, Ektnitphong VA, Martin AE, Evers BM, Lu LL, Ouyang H, Bourouiba L, Shiloh MU.   +13 more
europepmc   +1 more source

Integration of Liquid Handling Robotics, Turbidimetry, and Machine Learning Toward Inverse Design of Lower Critical Solution Temperature Polymer Formulations

Advanced Intelligent Systems, EarlyView.
An integrated OT‐2/plate reader platform automates LCST cloud point measurement of NIPAM‐co‐DMAEMA copolymers across high‐dimensional formulation spaces. Machine learning trained on the resulting high‐throughput datasets achieves R2 up to 0.96 and enables inverse design of polymer formulations to target transition temperatures with <1% error.
Lachlan Alexander, Vianna F. Jafari, Tanja Junkers   +2 more
wiley   +1 more source

Thermal comfort in relation to housing and tuberculosis status among individuals aged ≥15 years in Padang, West Sumatra Province, Indonesia. [PDF]

Front Public Health
Prima RR, Geater AF, Chongsuvivatwong V, Taweekun J, Djafri D.   +4 more
europepmc   +1 more source

Analysis of impediments to fair housing choice : executive summary Impediments to fair housing choice

, 1997
State of Kansas Analysis of Impediments to Fair Housing Choice Executive Summary -- Residents Lack Information About Fair Housing -- Lenders Refuse to Make Loans in Certain Areas -- Residents Oppose Minorities and the Disabled Moving into Their ...
Kansas Division of Housing
core  

AI‐Enabled RGB Light‐to‐Frequency Sensor for Nondestructive Salinity Stress Monitoring in Medicinal Plants

Advanced Intelligent Systems, EarlyView.
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad, Vinie Lee Silva‐Alvarado, Arman Heydari, Sandra Sendra, Jaime Lloret   +4 more
wiley   +1 more source