Abstract Biochar can significantly alter soil properties and therefore play an important role in increasing the resilience of agricultural systems to salt conditions. To match biochar salt-affected constraints application needs, a thorough understanding impact biochar, experimental conditions on crop productivity salinity is necessary. This meta-analysis (MA) available literature for first time quantitatively assessed effect not only applied soils but also that different salinity. The...

Hierarchical Reinforcement Learning (HRL) is a promising approach to solving long-horizon problems with sparse and delayed rewards. Many existing HRL algorithms either use pre-trained low-level skills that are unadaptable, or require domain-specific information define In this paper, we aim adapt downstream tasks while maintaining the generality of reward design. We propose an framework which sets auxiliary rewards for skill training based on advantage function high-level policy. This enables...

With the widespread diffusion of social network platforms, e-vendors can now use information to provide personalized services their consumers. Nonetheless, accuracy network-based personalization remains uncertain, as compared that traditional approaches. Drawing on influence and similarity attraction theories, this study compares with peer-based approach collaborative personalization. We report results a preliminary within subject experiment 29 subjects belonging single network. Our findings...

Unverifiable messages abound on the Internet. As policymakers and social media platforms grapple with spread of misleading, false, or otherwise harmful messages, it is important they better understand why users share cannot verify. This article reports two studies that shed light such issues. In first study, authors leverage secondary data collected from Twitter to show true false unverifiable have different characteristics those are predictive retweeting. second conduct a controlled...

Extensive data labeling on neurophysiological signals is often prohibitively expensive or impractical, as it may require particular infrastructure domain expertise. To address the appetite for of deep learning methods, we present first time a Fourier-based modeling framework self-supervised pre-training neurophysiology signals. The intuition behind our approach simple: frequency and phase distribution reveal underlying activities brain muscle. Our randomly masks out portion input signal then...

We examine the relationships between employee friendship and advice network centrality organizational citizenship behavior (OCB). Using social exchange theory as a basis, we argue that within workplace will be positively linearly related to OCB. Further, draw on conservation of resources role predict curvilinear (inverse U) relationship employees' OCB such employees engage in higher levels at moderate than low high levels. test theoretical model an academic setting (using other reports ties...

Online social cues that utilize user-generated data, such as user reviews and product ratings, have become one of the key factors influencing online behavior decisions. users who shared their ratings about a (or seller) an abstract reference group to focal interested in same product. This study focuses on sponsored search results (SSRs), type unsolicited information matches users’ queries receives high evaluations from prior consumers. We investigate effects positive alleviating avoidance...

The stock market, a significant component of the financial is essential to functioning world economy. Accurate prediction changes in prices great importance investors, institutions, and economic system. In order compare effects three methods-linear regression, K-nearest neighbor (KNN), long short-term memory network (LSTM)-in context Tesla prediction, goal this study investigate use machine learning field prediction. Through empirical analysis comprehensive evaluation, paper finds that LSTM...

In this paper, the fatigue resistance of a full-scale Steel Catenary Riser (SCR) girth weld is investigated using Strength-Number cycles (

This research investigated the route choice behavior of cyclists in Toronto, Ontario, Canada, with data collected from a smartphone application deployed to many city. For study, 4,556 registered and logged more than 30,000 commuting trips over 9 months. In addition time-stamped, second-by-second GPS readings on each trip, information age, gender, rider history was voluntary basis. Multinomial logit models were estimated for cycling trips. The results revealed critical importance facilities...

Universities are the hall of knowledge and cradle nurturing future talents. Red culture, as unique cultural symbol Chinese nation, plays an irreplaceable role in development universities. This paper conducts research discussion on red culture education Sichuan universities based a preliminary questionnaire survey conducted university students. It explores achievements deficiencies, provides suggestions strategies for to better help students inherit gene, so provide practical references...

A 3D physical experimental model is well designed to simulate a U-type underground mine working face. Based on two important influence factors, the air quantity delivered into ventilation system and gas release rate (GRR) in gob, series of experiments are examine range pattern explosive zone changing gob with following various combinations velocities GRRs. By sampling works, concentration could be obtained at different horizontal levels vertical lines experiment model. The results show...

Sustainability disclosure is a topic of great interest among academics and practitioners. As key means disclosing an organization’s sustainability information, the corporate social responsibility (CSR) report adopted by most organizations nowadays. It also becomes important information source for stakeholders. However, there concern that many stakeholders perceive CSR reports are reflections performance organizations. This misunderstanding could lead to undesired outcomes (e.g., lower...

Open access to scientific data now is essential promote the regional and global research, which could provide a comprehensive perspective for better understanding facilitate better‐informed ...

Eco-environmental variability was the basis of ethnic diversity with a persistent influence on regional development. The unique geographic conditions and multi-ethnic characteristics in southwest China were valuable for exploring sustainable development regions. In this study, features distribution areas groups analysed, it found that average altitude, slope, water coverage form ratio each group differed apparently. Additionally, southern minorities relatively stable, while those northern...

Reinforcement learning (RL) has shown its strength in challenging sequential decision-making problems. The reward function RL is crucial to the performance, as it serves a measure of task completion degree. In real-world problems, rewards are predominantly human-designed, which requires laborious tuning, and easily affected by human cognitive biases. To achieve automatic auxiliary generation, we propose novel representation approach that can ``transition distance'' between states. Building...

Market making (MM) via Reinforcement Learning (RL) has attracted significant attention in financial trading. Most existing RL-based MM methods focus on optimizing single-price level strategies which fail at frequent order cancellations and loss of queue priority. By comparison, involving multiple price levels align better with actual trading scenarios. However, given the complexity that multi-price RL involve a comprehensive action space, challenge effectively training persists. Inspired by...

To explore the relationship between job pressure and satisfaction of college physical education teachers, to provide reference for targeted intervention. METHODS: An exploratory factor analysis was used organize questionnaire on basis teachers' work satisfaction, a survey conducted 313 teachers in Hunan Province. RESULTS: Physical stress score 3.46±1.14, 3.69±1.05; is roughly showing first increase then decrease. It also proposed professional training improve their skills efficiency....