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Articles 27511 - 27540 of 291657

Full-Text Articles in Physical Sciences and Mathematics

Cash For Conservation: Payments For Ecosystem Service Programs And Forest Loss, John Shandra Apr 2024

Cash For Conservation: Payments For Ecosystem Service Programs And Forest Loss, John Shandra

Sustainability Seminar Series

According to the World Bank, 1.1 million square miles of tree cover were cleared from 2001 to 2020. Approximately 90% of forests were cleared in low- and middle-income nations. This loss is equivalent to a 7% reduction in tree cover and corresponds with 107 trillion metric tons of carbon dioxide emissions being released into the atmosphere. To limit forest loss, low and middle-income nations often implement payment for ecosystem service programs. By 2020, over 550 programs were active globally, accounting for an estimated $36–42 billion in annual transactions between users and providers. However, we not aware of any cross-national research …

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Predictors Of Student Success In College-Level General Chemistry, Elijah J. Engler, Clarice Ak Kelleher Apr 2024

Predictors Of Student Success In College-Level General Chemistry, Elijah J. Engler, Clarice Ak Kelleher

Binghamton University Undergraduate Journal

Success in college-level general chemistry is important because it is a required course for many different STEM majors and student success in early STEM classes correlates with retention of students in STEM. Identifying factors associated with success and failure can give educators a better understanding of the warning signs to look out for in struggling students. This paper compares factors and behaviors with final grades in general chemistry courses at Binghamton University, including adjectives selected from a word bank (“valued,” “supported,” etc.), resources used, and opinion on group work as it relates to learning. Correlations were found between student adjective …

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One-Pot Synthesis Green Zinc Oxide Nanoparticles Immobilized On Activated Carbon Derived From Pineapple Peel For Adsorption Of Pb(Ii), Vienna Saraswaty, Evyka Setya Aji, Ardi Ardiansyah, Ayu Hanifah, Nathania Puspitasari, Shella Permatasari Santoso, Sandy Budi Hartono, Chandra Risdian, Elsy Rahimi Chaldun, Henry Setiyanto Apr 2024

One-Pot Synthesis Green Zinc Oxide Nanoparticles Immobilized On Activated Carbon Derived From Pineapple Peel For Adsorption Of Pb(Ii), Vienna Saraswaty, Evyka Setya Aji, Ardi Ardiansyah, Ayu Hanifah, Nathania Puspitasari, Shella Permatasari Santoso, Sandy Budi Hartono, Chandra Risdian, Elsy Rahimi Chaldun, Henry Setiyanto

Karbala International Journal of Modern Science

The current study introduces a one-pot technique for synthesizing an environmentally benign and cheap composite adsorbent, namely ZnO-PPAC, for the adsorption of Pb(II). The designated adsorbent was prepared by incorporating green synthesized zinc oxide (ZnO) nanoparticles on activated carbon-derived from pineapple peel. The prepared adsorbents were characterized using XRD, SEM, EDS, FTIR, and BET techniques. The XRD pattern verifies that the ZnO was successfully synthesized and immobilized onto the PPAC in a one pot synthesis system. The surface areas of ZnOPPAC and PPAC adsorbents were 13.62 m2/g and 961.96 m2/g, respectively. The FTIR evaluation of the ZnO-PPAC adsorbent revealed several …

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Sgd-Od: Investigating The Potential Oxygen Demand Of Submarine Groundwater Discharge In Coastal Systems., Willard S Moore, Claudia Benitez-Nelson, Charles Schutte, Amy Moody, Alan Shiller, Ryan J Sibert, Samantha Joye Apr 2024

Sgd-Od: Investigating The Potential Oxygen Demand Of Submarine Groundwater Discharge In Coastal Systems., Willard S Moore, Claudia Benitez-Nelson, Charles Schutte, Amy Moody, Alan Shiller, Ryan J Sibert, Samantha Joye

School of Earth & Environment Departmental Research

Submarine groundwater discharge (SGD) supplies nutrients, carbon, metals, and radionuclide tracers to estuarine and coastal waters. One aspect of SGD that is poorly recognized is its direct effect on dissolved oxygen (DO) demand in receiving waters, denoted here as SGD-OD. Sulfate-mediated oxidation of organic matter in salty coastal aquifers produces numerous reduced byproducts including sulfide, ammonia, dissolved organic carbon and nitrogen, methane, and reduced metals. When these byproducts are introduced to estuarine and coastal systems by SGD and are oxidized, they may substantially reduce the DO concentration in receiving waters and impact organisms living there. We consider six estuarine and …

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Evaluating Appropriate Participant Training Period For Anuran Auditory Surveys, Evianna Goebel Apr 2024

Evaluating Appropriate Participant Training Period For Anuran Auditory Surveys, Evianna Goebel

Honors Projects

Auditory surveys are common in anuran research as they can tell a lot about a species without being intensely laborious or costly. There has not been much research on training periods for those taking part in the surveys. Proper training is necessary and improper training can hinder a project and lead to skewed results. In this study, we took students from several biology 2040 classes and had them study the calls of 11 frog species in NW Ohio. From the data, we can conclude that 2 weeks of roughly 100 minutes of study time is not enough for successful results …

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Gate-Controlled Supercurrent Effect In Dry-Etched Dayem Bridges Of Non-Centrosymmetric Niobium Rhenium, Jennifer Koch, Carla Cirillo, Sebastiano Battisti, Leon Ruf, Zahra Makhdoumi Kakhaki, Alessandro Paghi, Armen Gulian, Serafim Teknowijoyo, Giorgio De Simoni, Francesco Giazotto, Carmine Attanasio, Elke Scheer, Angelo Di Bernardo Apr 2024

Gate-Controlled Supercurrent Effect In Dry-Etched Dayem Bridges Of Non-Centrosymmetric Niobium Rhenium, Jennifer Koch, Carla Cirillo, Sebastiano Battisti, Leon Ruf, Zahra Makhdoumi Kakhaki, Alessandro Paghi, Armen Gulian, Serafim Teknowijoyo, Giorgio De Simoni, Francesco Giazotto, Carmine Attanasio, Elke Scheer, Angelo Di Bernardo

Mathematics, Physics, and Computer Science Faculty Articles and Research

The application of a gate voltage to control the superconducting current flowing through a nanoscale superconducting constriction, named as gate-controlled supercurrent (GCS), has raised great interest for fundamental and technological reasons. To gain a deeper understanding of this effect and develop superconducting technologies based on it, the material and physical parameters crucial for the GCS effect must be identified. Top-down fabrication protocols should also be optimized to increase device scalability, although studies suggest that top-down fabricated devices are more resilient to show a GCS. Here, we investigate gated superconducting nanobridges made with a top-down fabrication process from thin films of …

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Optimal Molecular Dynamics System Size For Increased Precision And Efficiency For Epoxy Materials, Khatereh Kashmari, Sagar Patil, Josh Kemppainen, Shankara Gowtham, Gregory Odegard Apr 2024

Optimal Molecular Dynamics System Size For Increased Precision And Efficiency For Epoxy Materials, Khatereh Kashmari, Sagar Patil, Josh Kemppainen, Shankara Gowtham, Gregory Odegard

Michigan Tech Publications

Molecular dynamics (MD) simulation is an important tool for predicting thermo-mechanical properties of polymer resins at the nanometer length scale, which is particularly important for efficient computationally driven design of advanced composite materials and structures. Because of the statistical nature of modeling amorphous materials on the nanometer length scale, multiple MD models (replicates) are typically built and simulated for statistical sampling of predicted properties. Larger replicates generally provide higher precision in the predictions but result in higher simulation times. Unfortunately, there is insufficient information in the literature to establish guidelines between MD model size and the resulting precision in predicted …

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Modern Approaches To Treating Hospital Acquired Infections: An Overview Of Current Treatments Using Antibiotics And New Therapies Centered Around Photo-Activated Porphyrins, Meghan Johns Apr 2024

Modern Approaches To Treating Hospital Acquired Infections: An Overview Of Current Treatments Using Antibiotics And New Therapies Centered Around Photo-Activated Porphyrins, Meghan Johns

Senior Honors Theses

Annually, hospital-acquired infections (HAIs) affect hundreds of thousands of people in the U.S. and impose a great economic burden. The current problem is further exacerbated due to the failure of traditional treatment strategies considering the rise in antimicrobial resistance rates. Besides the fact that antimicrobial resistances complicates clinical treatment strategies, patients are also more vulnerable to secondary infections and complications from prolonged antibiotic use. As a result, research investigating novel treatment strategies for bacterial infections has recently increased. A strategy using porphyrin-based compounds is showing promise. Porphyrins and their derivatives have exhibited bactericidal effects against Gram-positive bacteria by the destruction …

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Demonstration Of High-Impedance Superconducting Nbre Dayem Bridges, S. Battisti, J. Koch, A. Paghi, L. Ruf, Armen Gulian, Serafim Teknowijoyo, C. Cirillo, Z. Makhdoumi Kakhaki, C. Attanasio, E. Scheer, A. Di Bernardo, G. De Simoni, F. Giazotto Apr 2024

Demonstration Of High-Impedance Superconducting Nbre Dayem Bridges, S. Battisti, J. Koch, A. Paghi, L. Ruf, Armen Gulian, Serafim Teknowijoyo, C. Cirillo, Z. Makhdoumi Kakhaki, C. Attanasio, E. Scheer, A. Di Bernardo, G. De Simoni, F. Giazotto

Mathematics, Physics, and Computer Science Faculty Articles and Research

Here, we demonstrate superconducting Dayem-bridge weak-links made of different stoichiometric compositions of NbRe. Our devices possess a relatively high critical temperature, normal-state resistance, and kinetic inductance. In particular, the high kinetic inductance makes this material a good alternative to more conventional niobium-based superconductors (e.g., NbN or NbTiN) for the realization of superinductors and high-quality factor resonators, whereas the high normal-state resistance yields a large output voltage in superconducting switches and logic elements realized upon this compound. Moreover, out-of-plane critical magnetic fields exceeding 2 T ensure that possible applications requiring high magnetic fields can also be envisaged. Altogether, these features make …

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Benthic Community Response To The Impacts Of Proposed Sediment Diversions In Louisiana Estuaries, Jillian C. Tupitza Apr 2024

Benthic Community Response To The Impacts Of Proposed Sediment Diversions In Louisiana Estuaries, Jillian C. Tupitza

LSU Doctoral Dissertations

Sediment diversions designed to mitigate land loss in coastal Louisiana will likely cause ecosystem-wide shifts. The first diversion, planned for Barataria Bay, will divert fresh water and sediment from the Mississippi River into the surrounding wetlands to help them keep pace with high rates of relative sea-level rise (RSLR). Estuarine benthic communities were used in this study as tools to characterize ecological patterns in the context of anticipated salinity changes. I reviewed relevant literature, conducted a two-year survey of Barataria Bay benthos, executed a reciprocal transplant experiment to describe changes that might occur in both community composition and trophic dynamics, …

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Kinematic And Dynamic Structure Of The 18 May 2020 Squall Line Over South Korea, Wishnu Agum Swastiko, Chia-Lun Tsai, Seung Hee Kim, Gyuwon Lee Apr 2024

Kinematic And Dynamic Structure Of The 18 May 2020 Squall Line Over South Korea, Wishnu Agum Swastiko, Chia-Lun Tsai, Seung Hee Kim, Gyuwon Lee

Institute for ECHO Articles and Research

The diagonal squall line that passed through the Korean Peninsula on the 18 May 2020 was examined using wind data retrieved from multiple Doppler radar synthesis focusing on its kinematic and dynamic aspects. The low-level jet, along with warm and moist air in the lower level, served as the primary source of moisture supply during the initiation and formation process. The presence of a cold pool accompanying the squall line played a role in retaining moisture at the surface. As the squall line approached the Korean Peninsula, the convective bands in the northern segment (NS) and southern segment (SS) of …

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The Effect Of Fixed Time Delays On The Synchronization Phase Transition, Shaizat Bakhytzhan Apr 2024

The Effect Of Fixed Time Delays On The Synchronization Phase Transition, Shaizat Bakhytzhan

USF Tampa Graduate Theses and Dissertations

Nature is full of synchronization phenomena, which are essential to many scientific fields like biology, chemistry, physics, and neuroscience. The Kuramoto model is a well-known theoretical model that helps explain the fundamental ideas behind synchronization dynamics [6]. Nevertheless, in practical situations, systems frequently display intrinsic latency, which can greatly impact their behavior during synchronization. This insight inspired our work, which looks at the results of adding temporal delays to the Kuramoto model. In particular, we investigate how the system’s synchronization dynamics are affected by delays. We shed light on the mechanisms underpinning synchronization in the face of temporal delays and …

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Methods For Computing Rovibrational Spectral Data With Applications To Inorganic Oxides And Hydrocarbons, Alexandria Watrous Apr 2024

Methods For Computing Rovibrational Spectral Data With Applications To Inorganic Oxides And Hydrocarbons, Alexandria Watrous

Honors Theses

Computational chemistry focuses on finding solutions to the time-independent Schrödinger equation for systems of interest to study their molecular properties such as rovibrational spectral data. Any molecule containing more than one electron cannot be solved explicitly but coupled cluster theory offers one of the best approximations. One such application of this method is to molecules of astrochemical interest to support observation and experimental data. Chapters 2, 3, and 4 look at the performance of new couple cluster theory methods including composite and hybrid methods for ground and excited state rovibrational data. Chapters 5 - 9 use the previously mentioned methods …

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Unique K3 Surfaces With Purely Non-Symplectic Automorphism: Insights From Weighted Projective Spaceunique K3 Surfaces With Purely Non-Symplectic Automorphism:\\Insights From Weighted Projective Space, Elizabeth Melville Apr 2024

Unique K3 Surfaces With Purely Non-Symplectic Automorphism: Insights From Weighted Projective Spaceunique K3 Surfaces With Purely Non-Symplectic Automorphism:\\Insights From Weighted Projective Space, Elizabeth Melville

Theses and Dissertations

K3 surfaces have garnered attention across various fields, from optics and dynamics to high energy physics, making them a subject of extensive study for many decades. Recent work by mathematicians, including Brandhorst [1], has focused on non-symplectic automorphisms, aiming to categorize K3 surfaces that admit such automorphisms. Brandhorst made a list of unique K3 surfaces with purely non-symplectic automorphisms and established specific criteria for a K3 surface to be isomorphic to one on his list. This thesis aims to provide an alternative representation of select K3 surfaces from Brandhorst's list. While Brandhorst predominantly characterizes these surfaces as elliptic K3 surfaces, …

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Deep Selenium Donors In Zngep2 Crystals: An Electron Paramagnetic Resonance Study Of A Nonlinear Optical Material, Timothy D. Gustafson, Larry E. Halliburton, Nancy C. Giles, Peter G. Schunemann, Kevin T. Zawilski, J. Jesenovec, Kent L. Averett, Jonathan E. Slagle [*] Apr 2024

Deep Selenium Donors In Zngep2 Crystals: An Electron Paramagnetic Resonance Study Of A Nonlinear Optical Material, Timothy D. Gustafson, Larry E. Halliburton, Nancy C. Giles, Peter G. Schunemann, Kevin T. Zawilski, J. Jesenovec, Kent L. Averett, Jonathan E. Slagle [*]

Faculty Publications

Zinc germanium diphosphide (ZnGeP2) is a ternary semiconductor best known for its nonlinear optical properties. A primary application is optical parametric oscillators operating in the mid-infrared region. Controlled donor doping provides a method to minimize the acceptor-related absorption bands that limit the output power of these devices. In the present study, a ZnGeP2 crystal is doped with selenium during growth. Selenium substitutes for phosphorus and serves as a deep donor. Significant concentrations of native defects (zinc vacancies, germanium-on-zinc antisites, and phosphorous vacancies) are also present in the crystal. Electron paramagnetic resonance (EPR) is used to establish the …

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Scalable Relational Analysis Via Relational Bound Propagation, Clay Stevens, Hamid Bagheri Apr 2024

Scalable Relational Analysis Via Relational Bound Propagation, Clay Stevens, Hamid Bagheri

School of Computing: Faculty Publications

Bounded formal analysis techniques (such as bounded model checking) are incredibly powerful tools for today’s software engineers. However, such techniques often suffer from scalability challenges when applied to large-scale, real-world systems. It can be very difficult to ensure the bounds are set properly, which can have a profound impact on the performance and scalability of any bounded formal analysis. In this paper, we propose a novel approach—relational bound propagation—which leverages the semantics of the underlying relational logic formula encoded by the specification to automatically tighten the bounds for any relational specification. Our approach applies two sets of semantic rules to …

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Data Engineering: Building Software Efficiency In Medium To Large Organizations, Alessandro De La Torre Apr 2024

Data Engineering: Building Software Efficiency In Medium To Large Organizations, Alessandro De La Torre

Whittier Scholars Program

The introduction of PoetHQ, a mobile application, offers an economical strategy for colleges, potentially ushering in significant cost savings. These savings could be redirected towards enhancing academic programs and services, enriching the educational landscape for students. PoetHQ aims to democratize access to crucial software, effectively removing financial barriers and facilitating a richer educational experience. By providing an efficient software solution that reduces organizational overhead while maximizing accessibility for students, the project highlights the essential role of equitable education and resource optimization within academic institutions.

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Data-Driven Evidence-Based Syntactic Sugar Design, David Obrien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan Apr 2024

Data-Driven Evidence-Based Syntactic Sugar Design, David Obrien, Robert Dyer, Tien N. Nguyen, Hridesh Rajan

School of Computing: Faculty Publications

Programming languages are essential tools for developers, and their evolution plays a crucial role in supporting the activities of developers. One instance of programming language evolution is the introduction of syntactic sugars, which are additional syntax elements that provide alternative, more readable code constructs. However, the process of designing and evolving a programming language has traditionally been guided by anecdotal experiences and intuition. Recent advances in tools and methodologies for mining open-source repositories have enabled developers to make datadriven software engineering decisions. In light of this, this paper proposes an approach for motivating data-driven programming evolution by applying frequent subgraph …

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An Assessment On The Influence Of Aridity And Vegetation Cover On Land Surface Temperatures: Case Of Dodoma Urban District, Tanzania, Carolyne Vincent Mbirika Apr 2024

An Assessment On The Influence Of Aridity And Vegetation Cover On Land Surface Temperatures: Case Of Dodoma Urban District, Tanzania, Carolyne Vincent Mbirika

Research, Papers & Creative Work

This study examines the influence of aridity and vegetation cover on land surface temperature (LST) in Dodoma Urban District, Tanzania, a semi-arid environment experiencing rapid urban growth. Using Landsat 9 satellite imagery (30 m resolution) for October 2023, key environmental variables including the Normalized Difference Vegetation Index (NDVI), Normalized Difference Moisture Index (NDMI), and LST were derived and analyzed using ArcGIS Pro. The study applies remote sensing techniques and spatial analysis to examine the relationships between vegetation, moisture availability, and surface temperature patterns. The results reveal substantial spatial variation across the study area, with NDVI values ranging from -0.17 to …

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Evolution, Stage Characteristics And Governance Model Transformation Of China's Low-Carbon Policy, Yigang Wei, Jiawei Shi, Guannan Xu Apr 2024

Evolution, Stage Characteristics And Governance Model Transformation Of China's Low-Carbon Policy, Yigang Wei, Jiawei Shi, Guannan Xu

Bulletin of Chinese Academy of Sciences (Chinese Version)

A systematic review of China’s low-carbon policy and paradigm transformation is imperative for establishing a well-designed policy system to achieve the “dual carbon” goals. Based on the theory of policy change, this study constructs an analytical framework of “policy objectives—policy themes—policy fluctuations”. This study uses text mining techniques and policy measurement methods to analyze 1 743 low-carbon policies implemented in China from 2000 to 2021. The study summarizes the stage characteristics and evolutionary path of low-carbon policy development in China, evaluates the contribution of each policy theme at different stages, and portrays the paradigm shift in low-carbon governance. The findings …

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Editorials For Special Topic "Artificial Intelligence And Future Society" Apr 2024

Editorials For Special Topic "Artificial Intelligence And Future Society"

Bulletin of Chinese Academy of Sciences (Chinese Version)

No abstract provided.

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Social Order In Age Of Artificial Intelligence, Yongnian Zheng Apr 2024

Social Order In Age Of Artificial Intelligence, Yongnian Zheng

Bulletin of Chinese Academy of Sciences (Chinese Version)

While the rapid development of artificial intelligence is empowering society, it is also posing serious threats to the continuation of the traditional social order. The "de-intellectualization" function of AI has given rise to the phenomenon of "artificial ignorance", referring to the self-inflicted intellectual harm caused by the uncontrolled and excessive misuse of AI-related tools, thus causing a profound impact on the social order. The technical structural characteristics and governance structural characteristics of AI contributed to the emergence of the phenomenon of "artificial ignorance". The technical structural characteristics of AI can be summarized as highly concentrated capabilities, highly centralized control, highly …

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Venture Capital And Its Role In Facilitating Better Development In China's Artificial Intelligence Industry, Randong Yuan Apr 2024

Venture Capital And Its Role In Facilitating Better Development In China's Artificial Intelligence Industry, Randong Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The venture capital (VC) industry plays a crucial role in advancing the development of the artificial intelligence (AI) sector. As a key bridge between technological innovation and industrialization, VC not only provides financial support to AI startups but also empowers them in strategic planning, technological research and development, and market expansion. However, China's VC industry currently faces several challenges in supporting AI development, including an imbalance in the roles of state-owned and private capital, a short-term investment mindset, and the cyclical phenomenon of "herding" and abrupt market exits. These issues hinder the growth trajectories of Chinese AI enterprises and constrain …

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New System For Mobilizing Resources Nationwide To Promote Leapfrog Development Of Innovation Ecosystem Of Artificial Intelligence Enterprises: Mechanisms, Problems And Strategies, Yang Mei, Hao Niu, Han Jiang Apr 2024

New System For Mobilizing Resources Nationwide To Promote Leapfrog Development Of Innovation Ecosystem Of Artificial Intelligence Enterprises: Mechanisms, Problems And Strategies, Yang Mei, Hao Niu, Han Jiang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Facing the unpredictable new features of top-down AI technological innovation and the new requirements on functions, this study proposes to re-examine the technological innovation of AI at the enterprise level from the perspective of the "a new system for mobilizing the resources nationwide" and with the enterprise innovation ecosystem as the carrier. On the basis of explaining the elements and operation logic of the new system at the enterprise level, compared to the "implicit national system" of the US, this study preliminarily compares the new system of AI in China and that in the US. It is proposed that the …

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U.S.-Europe Artificial Intelligence Regulatory Cooperation, Divergence, And China's "Window Of Opportunity" For Strategic Breakthrough, Yang Mei, Jing Zeng, Yong Zhan Apr 2024

U.S.-Europe Artificial Intelligence Regulatory Cooperation, Divergence, And China's "Window Of Opportunity" For Strategic Breakthrough, Yang Mei, Jing Zeng, Yong Zhan

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United States, Europe, and China have adopted completely different technological development paths in the era of artificial intelligence innovation, forming a model division of "development-driven governance", "stringent governance framework", and "coordinated governance model" The United States and Europe have respectively set strategic goals as "maintaining technological hegemony" and "competing for the soft power of international rules", forming an interactive model in which institutional supervision and industry independence parallel, and cooperation needs and policy divergence coexist. China has contributed a unique technological governance logic of "people-oriented" and "moral-oriented". Faced with the current technological "window of opportunity", China should adopt two …

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Wild Seahorse Conservation And Industrial Growth Strategies: A Dual-Perspective Study, Shicheng Wang, Bo Li, Lanliang Yu Apr 2024

Wild Seahorse Conservation And Industrial Growth Strategies: A Dual-Perspective Study, Shicheng Wang, Bo Li, Lanliang Yu

Bulletin of Chinese Academy of Sciences (Chinese Version)

The United Nations Decade of Ocean Science for Sustainable Development (2021–2030) prioritizes healthy oceans and sustainable development. Protecting marine biodiversity, promoting sustainable fisheries, and achieving global sustainability goals are critical concerns for the international community. This study addresses critical challenges in seahorse conservation and industrial development, including wild resource depletion, limitations in aquaculture technology, low-value industrial chains, and inadequate regulatory coordination. Through systematic analysis of current conservation status and industrial trends, establishing demonstration bases is proposed for seahorse resource protection and high-value utilization ("Hippocampus Hub"), guided by natural habitat integrity, scientific research capacity, industrial chain integration, and policy support. By …

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Significance And Reflection Of Lunar Exploration, Jiaqi Liu Apr 2024

Significance And Reflection Of Lunar Exploration, Jiaqi Liu

Bulletin of Chinese Academy of Sciences (Chinese Version)

Although China's lunar exploration project started later than the Soviet Union and the United States, it is the first country to land probes and retrieve samples on both the right side and the reverse side of the Moon. There have been many major breakthroughs in space technology, and many important achievements in scientific research as well. It has extended the life of the Moon for about 1 billion years.

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Strategic Pattern And Optimization Of China's Eco-Regions During Fifteenth Five-Year Plan Period, Kan Zhou, Jie Fan, Daojing Zhou, Zhedong Qian, Hu Yu, Hanchu Liu, Jian Zhang Apr 2024

Strategic Pattern And Optimization Of China's Eco-Regions During Fifteenth Five-Year Plan Period, Kan Zhou, Jie Fan, Daojing Zhou, Zhedong Qian, Hu Yu, Hanchu Liu, Jian Zhang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Since the implementation of the major function oriented zoning, the ecological space of key ecological functional areas has continuously expanded, with a significant increase in vegetation coverage. Concurrently, there has been a dual change in population dynamics, characterized by a decrease in total population and an increase in the urban population. Furthermore, significant achievements have been made in economic and social development, and there has been a steady improvement in the functions of ecological security barriers, contributing to an alleviation of tension in human-environment relationships. During the 15th Five-Year Plan period, it is imperative to adhere to the functional orientation …

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Insights On Further Deepening Carbon Peaking And Carbon Neutrality Strategy And Pathways, Baihe Gu, Donghui Yu, Chen Wang, Yi Wang Apr 2024

Insights On Further Deepening Carbon Peaking And Carbon Neutrality Strategy And Pathways, Baihe Gu, Donghui Yu, Chen Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The low carbon transition pathway is a series of goals, technologies, fundings, policies, and other integrated driven system action roadmap. With the deepening of society’s understanding of carbon peaking and carbon neutrality, China’s dual-carbon faces the challenge of systemic advancement of comprehensive deepening implementation. The 20th National Congress of the Communist Party of China once again emphasized that achieving the dual-carbon goal will bring about extensive and profound economic and social systemic changes, and pointed out that based on China’s energy endowment, we should adhere to first establishment and then phase-out and implement the carbon peaking actions in a planned …

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Impact Analysis Of Artificial Intelligence Technology On Employment And Income In China, Yan Lu, Lincui Gui Apr 2024

Impact Analysis Of Artificial Intelligence Technology On Employment And Income In China, Yan Lu, Lincui Gui

Bulletin of Chinese Academy of Sciences (Chinese Version)

With the continuous development of artificial intelligence technology, employment and income in China will undergo some new changes. It is necessary to explore the impact of artificial intelligence technology on employment and income distribution. The study finds that in terms of employment, the impact of artificial intelligence includes redefining the number and nature of jobs, affecting work patterns and work skills, and possibly triggering structural imbalances between supply and demand in the labor market, leading to employment inequality, increasing employment risks. In term of income distribution, artificial intelligence technology has a heterogeneous impact on the initial distribution of different fields, …

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