Browse Articles
Discover research articles across all indexed journals
Integrating geospatial, hydrogeological, and geophysical data to identify groundwater recharge potential zones in the Sulaymaniyah basin, NE of Iraq
Abstract Groundwater is a critical resource for sustaining human activities, particularly in urban areas, where its importance is exaggerated by growing water demands, urban expansion, and industrial activities. Ensuring future water security necessitates an in-depth understanding of groundwater recharge dynamics, which are often complex and influenced by rapid urbanization. The alarming decline in groundwater resources in both urban and rural regions underscore the urgency for advanced groundwater management strategies. However, identifying and evaluating groundwater recharge potential zones (GWPZs) remains a challenge due to the dynamic interplay of hydrogeological and urban development factors. This study employs an integrated approach combining geographic information system (GIS), remote sensing, and multi-criteria decision analysis using the analytical hierarchy process (MCDA-AHP) to delineate GWPZs in the Sulaymaniyah Basin (SB). The methodology is further supported by hydrogeological data and validated through geophysical investigation using electrical resistivity tomography (ERT) data. For the MCDA-AHP, six thematic layers including rainfall, geology, lineament density, slope, drainage density, and land use/land cover were derived from satellite imagery, geological surveys, and well data. These layers were ranked based on their relative influence on groundwater recharge and integrated using GIS-based weighted overlay analysis to generate groundwater potential maps. The results identified three potential zones for groundwater recharge: low (11.26%), moderate (45.51%), and high (43.23%). Validation using ERT data and receiver operating characteristics (ROC) analysis revealed strong agreement, with an area under the curve (AUC) accuracy of 86%. These findings demonstrate the robustness of the integrated approach, providing a reliable tool for minimizing hydrogeophysical exploration costs and reducing the number of unsuccessful boreholes.
Augmenting atmospheric turbulence effects on thermal-adapted deep object detection models
Predicting pathological response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer with two step feature selection and ensemble learning
High-resolution image reflection removal by Laplacian-based component-aware transformer
Comparative analysis of necrotizing enterocolitis in preterm infants born in Japan and born to mothers of Japanese ethnicity in California
Diabetes is the missing link between cardiometabolic index and gallstones: a large cross-sectional study
Reactivation of latent human intracellular infections during a months-long expedition at the Antarctic Vostok station
Glycolysis-related lncRNA FTX upregulates YAP1 to facilitate colorectal cancer progression via sponging miR-215-3p
Physics-based forward model for near-real-time quantitative imaging of spent nuclear fuel assemblies
Optimization of commercial SNP arrays and the generation of a high-efficiency GenoBaits Peanut 10K panel
Analysis and design of the novel five harmonic peaking Class-EF power amplifier
Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence
Drone-assisted adaptive object detection and privacy-preserving surveillance in smart cities using whale-optimized deep reinforcement learning techniques
Human cooperation with artificial agents varies across countries
Abstract People are keen to exploit cooperative artificial agents for selfish gain. While this phenomenon has been observed in numerous Western societies, we show here that it is absent in Japan. We examined people’s willingness to cooperate with artificial agents and humans in two classic economic games requiring a choice between self interest and mutual benefit. Our participants in the United States cooperated with artificial agents significantly less than they did with humans, whereas participants in Japan exhibited equivalent levels of cooperation with both types of co-player. We found a notable difference in how people felt about exploiting their cooperative partner: people in Japan emotionally treated artificial agents and humans alike, whereas people in the United States felt bad about exploiting humans, but not machines. Our findings underscore the necessity for nuanced cultural considerations in the design and implementation of such technology across diverse societies
Cost effectiveness of bevacizumab plus carboplatin paclitaxel versus carboplatin paclitaxel as front line for advanced ovarian cancer in Thailand
Optoelectronic simulation and optimization of all perovskites tandem solar cells employing electrodeposited copper oxide as hole transport layer
Abstract Tandem solar cells are highly promising photovoltaic device that can potentially beat the maximum power conversion efficiency achieved so far in a single junction silicon solar cell by mitigating both the thermalization and transmission losses commonly encountered in a single junction solar cell. Among several different components of a tandem solar cell, hole-transport layer (HTL) plays an important role. Present day state of the art HTL layers are limited in number and sometimes highly expensive. In this work, we explore the feasibility of using electrodeposited Cu2O and mixed phase (Cu2O + CuO) Cu–O film as HTL in all-perovskite tandem solar cells and a detail optical, compositional and morphological analysis was performed. To access its performance as HTL in tandem devices, here we adapted an optoelectronic simulation approach using SCAPS-1D software tool and transfer matrix simulation routine where the parameters were either measured experimentally or carefully optimized to replicate the performance under realistic testing conditions. Photovoltaic parameters for single-junction cells with Cu2O-HTL was found to be less sensitive on the electron affinity of the Cu2O as opposed to that of Cu–O in a Cu–O-HTL based single junction cells. The highest efficiency predicted in our simulation is 24.95% in a 2-terminal tandem device with Cu2O-HTL and electron affinity of 3.8 eV whereas with similar device architecture, in a 4-terminal tandem device, the highest efficiency can reach upto 35%.