Spatiotemporal Variation of nutrient concentrations in the Upper Shule River Basin, the Qinghai-Tibetan Plateau, China

This study aimed to understand the spatiotemporal variation of nutrient concentrations in stream water, using analyses of total nitrogen (TN), NO3−-N, NH4+-N and total phosphorus (TP) concentrations from April to October in 2016 in the upper Shule River basin in the northeastern margin of the Qinghai-Tibetan Plateau. Dissolved inorganic nitrogen (DIN; NO3−-N + NH4+-N) concentrations in both groundwater and stream water were the predominant form of TN, accounting for about 88%. Median concentrations in stream water were 815 μg L−1 for TN, 459 μg L−1 for NO3−-N, 253 μg L−1 for NH4+-N, and 25 μg L−1 for TP. Great spatiotemporal variations of nitrogen and phosphorus concentrations in stream water were observed, which likely resulted from varying recharge sources (snow and groundwater) and biogeochemical processes. Monthly variations in nutrient concentrations in stream water had a reciprocal pattern between nitrogen and phosphorus concentrations. Our results demonstrated that the quality of steam water in the upper reach of Shule River basin was basically good for drinking purposes according to the environmental quality standards for surface water, China. The results also improved our understanding of how nutrient concentrations varied in stream water and provided baseline information for future studies on nutrients in the Qinghai-Tibetan Plateau

Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory

Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging to develop a magnon-based logic due to the lack of efficient electrical manipulation of magnon transport. Here we present a magnon logic-in-memory device in a spin-source/multiferroic/ferromagnet structure, where multiferroic magnon modes can be electrically excited and controlled. In this device, magnon information is encoded to ferromagnetic bits by the magnon-mediated spin torque. We show that the ferroelectric polarization can electrically modulate the magnon spin-torque by controlling the non-collinear antiferromagnetic structure in multiferroic bismuth ferrite thin films with coupled antiferromagnetic and ferroelectric orders. By manipulating the two coupled non-volatile state variables (ferroelectric polarization and magnetization), we further demonstrate reconfigurable logic-in-memory operations in a single device. Our findings highlight the potential of multiferroics for controlling magnon information transport and offer a pathway towards room-temperature voltage-controlled, low-power, scalable magnonics for in-memory computing

Importance of the Improvement in the Agricultural Technology of Sub-Saharan Africa on Local Economic Development and International Trade

This study assesses the impacts of technological innovation in Sub-Saharan African agriculture on local and global economies. Using the Eaton–Kortum model, with θ = 4.0875, the results show that comparative advantage’s positive impact on agricultural trade more than offsets the negative impacts of geography barriers. Sub-Saharan Africa is among the least competitive region with respect to agriculture production. This is due to its low value of the technology parameter, about 0.16 compared to the North American’s one (93.23). We found that increasing the technology of a country in Sub-Saharan Africa would increase world trade volume within the range of 0.02 to 0.19%. It would increase the local agricultural monthly wage and the welfare of farmers in the Sub-Saharan African region. Therefore, to improve technology in the Sub-Saharan African region, policymakers need to attract foreign direct investment by making incentives and increasing labor skills. This study adds to the literature by determining the contribution of the agricultural sector in Sub-Saharan Africa in global economic development through international trade. It also informs policies on the reduction of poverty and food insecurity around the world in order to achieve some of the Sustainable Development Goals

Importance of the Improvement in the Agricultural Technology of Sub-Saharan Africa on Local Economic Development and International Trade

This study assesses the impacts of technological innovation in Sub-Saharan African agriculture on local and global economies. Using the Eaton–Kortum model, with θ = 4.0875, the results show that comparative advantage’s positive impact on agricultural trade more than offsets the negative impacts of geography barriers. Sub-Saharan Africa is among the least competitive region with respect to agriculture production. This is due to its low value of the technology parameter, about 0.16 compared to the North American’s one (93.23). We found that increasing the technology of a country in Sub-Saharan Africa would increase world trade volume within the range of 0.02 to 0.19%. It would increase the local agricultural monthly wage and the welfare of farmers in the Sub-Saharan African region. Therefore, to improve technology in the Sub-Saharan African region, policymakers need to attract foreign direct investment by making incentives and increasing labor skills. This study adds to the literature by determining the contribution of the agricultural sector in Sub-Saharan Africa in global economic development through international trade. It also informs policies on the reduction of poverty and food insecurity around the world in order to achieve some of the Sustainable Development Goals

Regional difference and dynamic evolution of development quality of power industry in China

To achieve the goals of carbon peaking and carbon neutrality and maintain high-quality economic growth, China is currently striving to improve the quality of development of its power sector. In this regard, revealing the regional differences and evolutionary trends in the development quality of China’ power sector has a high value to inspire the next improvement direction toward how to integrate regional power recourses to an overall optimization level. Motived by this purpose, this paper uses the entropy method to evaluate the comprehensive and subsystem indices of the development quality of the power industry, and reveals their regional differences and evolutionary trends with the help of the Dagum Gini coefficient and Kernel density estimation methods. The findings show that: There are obvious regional differences in the development quality of China’s power industry, and the differences are steadily declining in all regions except the West. Regional differences are mainly derived from inter-regional differences, with the largest inter-regional differences in the East-Northeast region. Intra-regional differences show a distribution pattern of East > West > Northeast > Center

Abusive Supervision and Turnover Intentions: A Mediation-Moderation Perspective

This study intended to provide and test a unique model describing how abusive supervision increases workers’ turnover intentions, with a mediating role of emotional exhaustion and moderating role of self-esteem. We argued that emotional exhaustion exacerbates the association between abusive supervision and turnover intentions of the workers, while self-esteem buffers this relationship, based on the unfolding model of voluntary turnover as an overarching theory. The study design reflected that abusive supervision and turnover intentions are mediated by emotional exhaustion, while the relationship between abusive supervision and emotional exhaustion is further moderated by self-esteem. A well-structured and self-administered questionnaire was used to collect data from 290 respondents. The data were analyzed, and hypotheses were tested using PLS-SEM. The study findings confirmed that there exists a positive and significant link between abusive supervision and turnover intentions through the indirect effect of emotional exhaustion. On the other hand, the findings regarding moderating effect indicates that self-esteem has a significant impact among abusive supervision and emotional exhaustion. This research identified a feasible way for supervisors to grasp how diverse the responses of various workers may be using the unfolding model. These research findings have important academic and practical implications for government representatives, policymakers, and entrepreneurial educational institutes that can use these findings