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High-resolution investigations of fault architecture in space and time
Abstract Heterogeneous fault architecture affects crustal seismotectonics and fluid migration. When studying it, we commonly rely on static conceptual models that generally overlook the absolute time dimension of fault (re)activation. Heterogenous faults, however, represent the end-result of protracted, cumulative and intricate deformation histories. This may lead to inaccurate reconstructions of tectonic histories and flowed models of fault hydro-mechanical behavior. We adopt here a multitechnique approach building upon the examination of now juxtaposed but not coeval brittle structural facies (BSF), which offer multiscalar insights in the spatio-temporal-thermal fault evolution. Our approach is applied to the Carboneras Fault, unveiling a ~ 25 Myr-long polyphase structural and thermal evolution. This led to a complex fault architecture, where BSFs exhibit a stark heterogeneity in fault rock and permeability, ultimately generating very different space- and time-dependent fault hydro-mechanical behaviors. Therefore, fault architectures shall be seen as dynamic features from which to extrapolate time-integrated comprehensive fault models accounting for the entire deformed rock volume and fault life span. We demonstrate that high-resolution studies of fault architectures are required to elucidate modes of fault growth and evolution, decipher long-lived, polyphase tectonic and thermal histories, and understand the influence of heterogenous fault architecture on hydraulic compartmentalization and earthquake rupture dynamics.
Body Mass Index mediates the relationship between estimated glucose disposal rate and gallstones
Identification of subsurface cavities in urban environment
Contrasting vector competence of three main East African Anopheles malaria vector mosquitoes for Plasmodium falciparum
Integrative genetics and multiomics analysis reveal mechanisms and therapeutic targets in vitiligo highlighting JAK STAT pathway regulation of CTSS
A synthesis method for zero-sum mean-payoff asynchronous probabilistic games
Lightweight object detection model for food freezer warehouses
RETRACTED ARTICLE: An assessment of physiological and health responses in Catla catla fingerlings after polystyrene microplastic exposure
Use of approved cefazolin based intramammary dry goat treatment and its effects on the milk microbiota
PD-L1 monoclonal antibody alleviated MI injury of left ventricular function via modulating CD47/SHP2/SIRPα/SYK/FcγR signalings in tumor associated macrophages
Bone cell differentiation and mineralization in wild-type and osteogenesis imperfecta zebrafish are compromised by per- and poly-fluoroalkyl substances (PFAS)
Enhancing energy autonomy of greenhouses with semi-transparent photovoltaic systems through a comparative study of battery storage systems
Abstract Effective energy management is crucial in greenhouse farming to ensure efficient operations and optimal crop growth. This study investigates the energy autonomy—defined as the ratio of on-site energy generation to the total energy demand—of greenhouses equipped with semi-transparent photovoltaic (STPV) systems under two scenarios: with and without a Battery Energy Storage System (BESS). STPV systems are beneficial because they generate energy while still allowing enough light to pass through for healthy plant development. Seasonal variations in energy autonomy during summer and winter were analyzed. Results show that incorporating BESS significantly reduces reliance on grid electricity, with energy autonomy improving from 43.43% to 24.17% in summer and 81.36% to 69.45% in winter. The system’s performance was highly sensitive to the transmittance rate of STPV panels and the minimum Daily Light Integral (DLI) required for crops. These findings highlight the potential of BESS to enhance energy independence and promote sustainable agricultural practices. The study provides insights into optimizing renewable energy systems in greenhouses, emphasizing practical implications for scalability and economic feasibility.
Advanced microgrid optimization using price-elastic demand response and greedy rat swarm optimization for economic and environmental efficiency
How does live streaming affect tourists’ intention — a psychology theory perspective
Examining the affordable connectivity program and telehealth use: a pilot survey of the affordable connectivity program, telehealth, video and audio visits in a racially diverse, lower-income population
Abstract The Affordable Connectivity Program (ACP) aimed to narrow the digital divide by providing discounted internet services for millions of low-income households during the COVID-19 pandemic. This study examined associations between enrollment in the ACP and Telehealth visits in a racially diverse low-income population. Data were obtained via a cross-sectional survey of 213 respondents. Three multivariable regression models examined associations between ACP and three dependent variables, separately: (i) Used telehealth in the past 12 months, (ii) Had 1 or more video visits/consults in the past 12 months, and (iii) Had 1 or more telephone visits/consults in the past 12 months. 41% of survey respondents identified as non-Hispanic Black individuals, 33% as non-Hispanic White individuals, and 22% as Hispanic individuals. 69% reported a pre-tax annual household income of less than $35,000. Only 2 of 10 respondents had heard of ACP and were enrolled, while approximately 4 in 10 had never heard of it. Respondent knowledge/enrollment in the ACP was not significantly associated with telehealth, video consult, or telephone usage. Other demographic characteristics including race, income, educational attainment, and biological sex were significantly associated with telehealth, video, and telephone consults. We observed no association between ACP and telehealth use. While this finding is concerning, it offers an opportunity to reflect on potential reasons for ACP adoption gaps, such as digital literacy, device availability, and potential misconceptions about telehealth services.
A reproducible representation of healthy tibiofemoral kinematics during stair descent using REFRAME – part I: REFRAME foundations and validation
Dynamic relationships between environment-related technologies, agricultural value added, transport infrastructure and environmental emissions in the five most populous countries
Biostimulants with glycine betaine or kelp extract alleviate heat stress in red raspberry (Rubus idaeus)
Low interface state density and large capacitive memory window using RF sputtered NiO nanoparticles decorated MgZnO thin film
Abstract NiO nanoparticles (NPs) synthesized using glancing angle deposition (GLAD) technique over MgZnO thin film was used to design a novel memory device. The NiO NPs with average diameter ~ 9.5 nm was uniformly distributed over the MgZnO thin film surface. The MgZnO thin film/NiO NPs memory device when measured for the C-V hysteresis characteristics at varying sweep voltage demonstrated a charge trapping and de-trapping mechanism. Moreover, the device exhibited low interface states density (Dit) (1.45 × 1010 eV− 1 cm− 2) at 1 MHz and large capacitive memory of ~ 6 V at ± 7 V. The large memory window was attributed to the better interface quality between MgZnO thin film and NiO NPs. Additionally, the device also exhibited good endurance over 1000 programme/erase cycles and longer time charge retention up to 2 × 104 s. The improved performance of device and more charge accumulation capacity was primarily due to the large effective area and quantum confinement effect owing to NiO NPs. Further, on performing a resistive switching analysis, the device could show a good on-off ratio (RHRS/RLRS) of 1.24 × 102. Therefore, the proposed device structure can be a good option for future memory applications.