The construction of a p-n heterojunction is an efficient strategy to resolve the limited light absorption and serious charge-carrier recombination in semiconductors enhance photocatalytic activity. However, promotion effect greatly by poor interfacial charge transfer efficiency as well reduced redox ability carriers. In this work, we demonstrate that embedding metal Pd into interface between n-type C3N4 p-type Cu2O can further increase carriers through design C3N4-Pd-Cu2O stack...

Online sexism is a widespread and harmful phenomenon. Automated tools can assist the detection of at scale. Binary detection, however, disregards diversity sexist content, fails to provide clear explanations for why something sexist. To address this issue, we introduce SemEval Task 10 on Explainable Detection Sexism (EDOS). We make three main contributions: i) novel hierarchical taxonomy which includes granular vectors aid explainability; ii) new dataset 20,000 social media comments with...

In the realm of apple cultivation, efficient and real-time monitoring Gray Leaf Spot is foundation effective management pest control, reducing pesticide dependence easing burden on environment. Additionally, it promotes harmonious development agricultural economy ecological balance. However, due to dense foliage diverse lesion characteristics, disease faces unprecedented technical challenges. This paper proposes a detection model for apple, which based an enhanced YOLOv8 network. The details...

Abstract Due to coarse spatial resolution, the application of Gravity Recovery and Climate Experiment (GRACE) data in local groundwater resource management has been limited. To overcome this issue, a downscaling approach is presented improve resolution GRACE‐derived storage anomalies using evapotranspiration (ET) data. The statistical method only applied areas where there strong relationship between (GWS) ET, can be established under different resolutions. In study, GWS are downscaled from...

Online sexism is a widespread and harmful phenomenon. Automated tools can assist the detection of at scale. Binary detection, however, disregards diversity sexist content, fails to provide clear explanations for why something sexist. To address this issue, we introduce SemEval Task 10 on Explainable Detection Sexism (EDOS). We make three main contributions: i) novel hierarchical taxonomy which includes granular vectors aid explainability; ii) new dataset 20,000 social media comments with...

In the big data era, healthcare sector grapples with increased volumes and push for more intelligent medical devices. This challenge is marked by silos, higher processing needs, quest personalized medicine, emphasizing importance of integrating analyzing diverse from study employs bibliometric analysis to thoroughly analyze research trends in device research, aiming identify key developments, patterns, potential future directions field. employed Web Science Core Collection, BIOSIS Citation...

Abstract Groundwater is an important component of the water supply, and overexploitation has triggered many problems in Beijing Plain. The South‐to‐North Water Transfer Project been proposed as a promising solution to alleviate these problems. Evaluation different scenarios groundwater management after implementation necessarily required. In this study, numerical model flow was established using FEFLOW software well calibrated by parameter optimization withdrawal inversion Sixteen that...

While social media offers freedom of self-expression, abusive language carry significant negative impact. Driven by the importance issue, research in automated detection has witnessed growth and improvement. However, these models display a reliance on strongly indicative keywords, such as slurs profanity. This means that they can falsely (1a) miss abuse without keywords or (1b) flag non-abuse with (2) perform poorly unseen data. Despite recognition problems, gaps inconsistencies remain...

GRACE observations and land subsidence data derived from InSAR both assess groundwater storage changes. However, at local scales are restricted by the coarser spatial resolution of satellite systems, inversion Groundwater Storage Anomalies (GWSA) requires extensive unavailable lithological data. Here, we propose a New Subsidence Feature Weighted Combination (NSFWC) scheme to enhance GRACE-derived GWSA 0.5° 0.05°. This method can not only retain distribution changes but also reflect details...

The greenhouse system plays a crucial role to ensure an adequate supply of fresh food for the growing global population. However, maintaining optimal climate within requires resources and operational costs. To achieve economical sustainable crop growth, efficient control in production is paramount. Model Predictive Control (MPC) Reinforcement Learning (RL) are two approaches representing model-based learning-based control, respectively. Each one has its own way formulate problems, define...

Diabetes is related to exposure polycyclic aromatic hydrocarbons (PAHs), inflammation in the body, and housing characters. However, associations of urinary monohydroxy-PAHs (OH-PAHs) or fractional exhaled nitric oxide (FeNO) with diabetes risk relation characters are unclear. In this study, 2645 individuals were drawn from baseline survey Wuhan-Zhuhai Cohort Study. Associations OH-PAHs FeNO among cooking participants estimated using logistic regression models. Among women self-cooking meals,...

Gravity Recovery and Climate Experiment (GRACE) satellites can effectively monitor terrestrial water storage (TWS) changes in large-scale areas. However, due to the coarse resolution of GRACE products, there is still a large number deficiencies that need be considered when investigating TWS small-scale Hence, it necessary downscale products with resolution. First, order solve this problem, present study employs modeling windows different sizes (Window Size, WS) combined multiple machine...

Supervised machine learning approaches often rely on a "ground truth" label. However, obtaining one label through majority voting ignores the important subjectivity information in tasks such hate speech detection. Existing neural network models principally regard labels as categorical variables, while ignoring semantic diverse texts. In this paper, we propose AnnoBERT, first-of-its-kind architecture integrating annotator characteristics and text with transformer-based model to detect speech,...

Dynamic change of groundwater storage is one the most important topics in sustainable management resources. Groundwater variations are firstly isolated from terrestrial water using Global Land Data Assimilation System (GLDAS). Two datasets used: <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mo stretchy="false">(</mml:mo><mml:mn fontstyle="italic">1</mml:mn><mml:mo stretchy="false">)</mml:mo></mml:math> annual resources and id="M2"><mml:mo...

The launch of GRACE satellites has provided a new avenue for studying the terrestrial water storage anomalies (TWSA) with unprecedented accuracy. However, coarse spatial resolution greatly limits its application in hydrology researches on local scales. To overcome this limitation, study develops machine learning-based fusion model to obtain high-resolution (0.25°) groundwater level (GWLA) by integrating observations North China Plain. Specifically, consists three modules, namely downscaling...