Types Of Resources Research Articles

Medical students' perspective on the United States Medical Licensing Examination (USMLE) Step 1 transition to Pass/Fail

Background The transition of the United States Medical Licensing Exam: Step 1 to Pass/Fail (P/F), from scored, caused uncertainty about students’ preparedness and wellbeing related to the exam. Comparison of study behavior and results, before and after the P/F transition can provide insights for the medical curriculum and student support. Methods Data from four cohorts of second-year medical students (Class of 2022–25, N = 204) were collected from their dedicated Step 1 self-study block. Student study regiments, aggregate practice test results, Step 1 pass rates and post-block self-reported surveys were analyzed. Results Analysis of practice exam averages across the four student cohorts demonstrates a potentially slower and less rigorous start to Step 1 self-studying during the dedicated preparation block for the cohorts that took the P/F Step 1 exam format as compared to the previous cohorts that prepared for a scored Step 1 exam. Similarly, self-reported study regiments decreased in the median number of hours/day and number of weeks of study for the cohorts with P/F Step 1 exam. There was also a slight shift in the type of study resources used, between the two groups, with the scored group using more traditional board preparation resources. Conclusions The P/F transition of the Step 1 exam may lead to reduced student preparedness and may require adjustments in the resources and support provided by institutions.

Us and Ours

Abstract: In this work, we investigate how parochial concerns for common resources, such as tax-funded goods, relate to prejudice against immigrants. Previous experimental work showed majority groups assume minorities will exploit common resources without contributing toward their maintenance. We relate predictions about, and support for, various types of common resources to prejudice against immigrants in two correlational studies. Prejudice against immigrants was negatively associated with support for universal, but positively with security-related resources. Participants' prediction that minority groups would contribute less to the management of communally shared resources was reflected in the degree of negative attitudes they expressed against immigrants in particular. We discuss these results in view of political narratives about immigrants and common resource management policies.

Institutionelle Kommunikation in der digitalen Öffentlichkeit: Das kommunikative Repertoire der Polizei Hamburg auf Twitter

Abstract This paper uses the notion of communicative repertoire to investigate the language conduct of an institutional organization in a social media environment, with the Twitter (now ‘X’) account of Hamburg Police as a case in point. Theoretically drawing on interactional sociolinguistics, media linguistics and Twitter research, we view communicative repertoire as the sum of linguistic and semiotic resources that are mobilized by organizational agents to participate in a multi-faceted digital public space that comprises both the dissemination of messages to a digital audience (the account’s followers) and dialogic exchanges with self-selected members of the digital publics. The analysis is based on all tweets produced by the Hamburg Police over a period of three months, complemented by an interview with the organization’s social media team. We operationalize the communicative repertoire by means of a multi-level analytical scheme that comprises: (a) different types of linguistic and graphic resources, (b) two participation formats (initiative and responsive messages) and (c) several action types. The findings show that the language conduct of Police Hamburg is multi-faceted and shows striking stylistic differences between initiative and responsive tweets. While initiative tweets draw on pre-digital genres of Police communication (e.g. call for witnesses), responsive tweets repeatedly show accommodation towards users. Overall, the case of Hamburg Police illustrates how mediatization transforms practices of institutional communication.

Temporal changes in the diet composition and trophic level of walleye pollock (Gadus chalcogrammus) inhabiting the middle-eastern coast of Korea

The influences of oceanographic changes on diet composition and trophic level for pollock (Gadus chalcogrammus) inhabiting the East Sea off the Korean coast were examined based on stomach content and stable isotope analyses during 2016 and 2017. The diets of pollock consisted mainly of benthic crustaceans (particularly carid shrimps and euphausiids) and cephalopods, with a predominance of teleosts in the diets of larger individuals in deeper habitats. In 2016, amphipods, carid shrimps and cephalopods featured strongly in pollock diets, and the contribution of amphipods decreased in the diets of larger individuals and deeper depths. In 2017, euphausiids dominated at shallower depths, whereas the contributions of carid shrimps and teleosts increased in deeper habitats. Body-size-related differences in carbon stable isotope (δ13C) values were present in both 2016 and 2017, but size-related differences in nitrogen stable isotope (δ15N) values were only observed in 2017. The increased contribution of euphausiids during 2017 resulted in a distinct decrease in the trophic level of pollock compared to co-occurring higher trophic level predators, which can be linked to changes in habitat water temperature. Combined stomach contents and isotopic analyses provide a more comprehensive understanding of how fish diets and trophic levels fluctuate with changes in the type and abundance of prey resources in response to environmental changes.

Comprehensive evaluation and analysis of water resource characteristics in Lixiahe Plain, China

ABSTRACT Lixiahe Plain's local water resources need to be evaluated effectively and comprehensively. This study is based on the multisource data from 60 natural water samples, 16 rainfall monitoring stations, and 2 evaporation monitoring stations from 1965 to 2020. Synchronous series representativeness analysis, water quality analysis, and water resource availability estimation are conducted to analyze the spatiotemporal distribution characteristics of rainfall, evaporation, and water quality and calculate the availability of various types of water resources. The results indicate that the spatiotemporal distribution of rainfall and evapotranspiration in the study area is uneven, which increases the threat of local floods and droughts. The quality of the main rivers and lakes in the region is good, and the water quality of the drinking water source area and groundwater reaches and even exceeds Class III water standards. In the year 2020, the total water usage in the research area reached 341 million m3. However, the available sum of surface water resources and transit water availability in 2022 was only 201 million m3, so local water supply needs cannot be easily met. Exploring the water resource characterization model of the Lower Rivers Plain can help in local water resource management and protection.

Generative Design of the Architecture Platform in Multiprocessor System Design

When designing a system at the Electronic System Level (ESL), designers are confronted with a very large number of design decisions, each affecting the characteristics of the resulting system. Simultaneously, the demands for the system’s performance, reliability, and energy consumption have increased drastically. Design Space Exploration (DSE) aims to facilitate this complex task by automating the system synthesis and traversing the design space autonomously. Previous studies on DSE have mainly considered fixed architectures with a fixed set of hardware components only. In the paper at hand, we overcome this limitation to allow for a higher degree of freedom in the design of a multiprocessor system. Instead of a fixed architecture as input, we are using a resource library containing resource types whose instances can then be arbitrarily placed and connected. More specifically, we enable the exploration of the types, the number, and the positions of required processing-type instances in a grid-based topology template in addition to deciding on the remaining system synthesis tasks, namely, resource allocation, task binding, routing, and scheduling. We provide an extensible framework, based on Answer Set Programming (ASP) modulo Theories (ASPmT), for generating system architectures fulfilling predefined constraints. Our studies show that this higher degree of freedom, originating from fewer restrictions regarding the architecture, leads to an increased complexity of the problem. In extensive experiments, we show scalability trends for a set of parameters, demonstrating the capabilities and limits of our approach.

MODEL OF FUNCTIONING LOGISTICS FOR SUPPLY OF SPECIALISED VEHICLES IN CONTAINERS FROM NORTH AMERICAN COMPANIES TO UKRAINE

The article analyses the current state and prospects for developing logistics for supplying various types of cargo in international traffic to be transported in containers. It allowed us to formulate the purpose of the study in this development. This topic is relevant since the efficient organisation of containerised supply logistics can improve the functioning of transport systems. An effective way to reduce the cost of supplying a cargo unit is efficient resource use (railway stations, ports, warehouses, wagons, vehicles, containers). The study paid considerable attention to developing the relevant infrastructure, solving specific problems of efficient use of all types of resources, using digital technologies, and building reliable models of logistics supply systems. The article builds a structural model based on the principles of logistics interaction of possible participants in the supply process, representing the interaction of subsystems that significantly affect the quality of the relevant operations. We formed five schemes of interaction between logistics participants for supplying specialised vehicles in containers with the participation of automobile, railway, and sea transport and the relevant infrastructure. These schemes identify the main ports of departure in the United States (New York and Houston) and ports of destination in Europe (Klaipeda (Lithuania), Constanta (Romania)), and take into account the possibility of using road and rail transport resources in European countries and Ukraine. We developed a mathematical model of logistics functioning for the supply of specialised vehicles in containers from North American enterprises to Ukraine, which accounts for the specifics of sequential operations and the peculiarities of determining the performance indicators of each supply chain operation. The prospect of using these models is to build a simulation model of logistics for the supply of specialised vehicles in containers from North American companies to Ukraine, conduct simulations using a software environment, and determine the rational option under the established conditions. Keywords: model, logistics, supply, vehicles, international transportation.

Myanmar Budget Dynamics and Their Effect on Multiple Performances of Public Service Delivery: A Multilevel Approach

A public budget consists of financial input for implementing governmental operations. It is generally expected that financial resources will increase organizational performance because they can be used to obtain other types of resources. This study aims to make a theoretical contribution to the punctuated equilibrium theory literature by examining how the different patterns of budget changes affected the competing dimensions of public service performance (3Es: efficiency, effectiveness, and equity) before and after the Myanmar budget reform in 2011. We collected a two-level dataset including budget allocation data at the ministry level and public service providers’ perceptions of performance at the individual level and employed multilevel modeling. Our results show that the effectiveness of public services can be improved by increasing a significant amount of budget allocation (positive punctuations), but this has no effect on efficiency or equity. However, any level of budget reduction can decrease the efficiency and equity of public services.

154 Leveraging Implementation Science Competencies to Establish a D&I Science Core

OBJECTIVES/GOALS: Clinical and Translational Science Award (CTSA) hubs are launching D&I Science cores to provide resources and services to promote the translation of clinical evidence into practice. We developed a D&I Science Core strategic plan reflecting our research community’s needs by assessing Implementation Science (IS) competencies. METHODS/STUDY POPULATION: The Tufts CTSI D&I Science Core was launched in early 2023. To design services that meet research community needs, we conducted a survey and key informant interviews based on Padek etal.’s list of Implementation Science (IS) competencies. The competencies are organized into four domains (Definition, Background, and Rationale; Theory and Approaches; Design & Analysis; and Practice-Based Considerations) and categorized by expertise level (beginner, intermediate, advanced). Participants who had attended or expressed interest in a D&I interest group were asked via an email survey to rate their level of confidence in completing selected IS-related research activities, about their experience with IS research or practice, and the types of resources, services and training they desired. RESULTS/ANTICIPATED RESULTS: Twenty researchers (20/65, 31%) submitted survey responses and six researchers participated in in-depth interviews. Survey respondents felt most confident in engaging stakeholders in IS research and least confident selecting a model or framework for a study. Results suggest that researcher capacity building is needed to: • Understand IS models and frameworks and their approaches, strengths, and limitations • Select and use models and frameworks in studies • Assemble IS teams and prepare grant proposals Suggestions for resources, services, and training, include: • Customized education to address diverse needs, knowledge levels, and learning styles • Promotion of D&I Core consultations and grant support services • Sharing of successful proposals to help researchers learn how to apply IS methods DISCUSSION/SIGNIFICANCE: A strategic workplan for the D&I Science Core was developed and implemented to address the findings. Initial emphasis is on developing easily accessible resources and timely consultations for investigators new to IS needing to apply these methods in current grant proposals, while also providing training resources for deeper skill building.

Digital infrastructure empowerment and urban carbon emissions: Evidence from China

China is accelerating its entry into the digital age, and the contribution of digital infrastructure to the reduction of carbon emissions is becoming increasingly prominent. The influence mechanism of digital infrastructure on urban carbon emissions is empirically tested in this study from the standpoint of digital empowerment using panel data from 250 cities between 2008 and 2020. According to the study, digital infrastructure greatly lowers urban carbon emissions, with each additional mobile base station reducing carbon emissions by 36 tons. This conclusion remains robust even after controlling for endogeneity issues. The mechanism examination indicates that the decarbonization effect of digital infrastructure is mainly achieved by empowering enterprises, individuals, and governments with digital capabilities. Heterogeneity analysis reveals that the effects of digital infrastructure on carbon emissions vary after considering variations in the city's administrative hierarchy, industrial structure, and resource types in China. According to the study's findings, developing countries should expand digital infrastructure construction and fully harness its potential for energy saving and emissions reduction to meet their emission reduction targets. At the same time, differentiated emission reduction policies should be formulated to adapt to the heterogeneous characteristics among cities and ensure that emission reduction measures are effectively implemented in each city.

RENOVATION OF CRITICAL INFRASTRUCTURE FACILITIES IN UKRAINE AFTER THE WAR: STRATEGY AND PERSPECTIVES

The military actions in Ukraine not only led to the destruction of critical infrastructure (hereinafter referred to as CI), especially the energy and transport sectors, but also actualized the need to ensure its security, immediate restoration to provide basic services to the population in various areas. Local public authorities, operators of CIs, as well as the central government of the country and international partners are involved in the processes of immediate restoration of CI facilities in Ukraine, which, on the basis of cooperation, provide organization, planning, and financing of its reconstruction. Initiatives of the national government to establish cooperation testify to the existing prospects for the long-term development of CI. Therefore, the modernization and construction of new CI facilities takes place on the basis of partnership, which contributes to the attraction of human, financial, material and technical and other types of resources, the establishment of cooperation mechanisms and the interaction of public administration subjects of various institutional levels. Transport and energy infrastructure requires the largest financial investments and efforts of various subjects - participants in the recovery process, because it ensures the provision of basic public services for the population. Taking into account the need for long-term development of CI facilities in various sectors of the economy, the National Recovery Council of Ukraine presented the «Project Recovery Plan». This document provides for the implementation of programs for the restoration of the most priority sectors using a project approach (logistics, infrastructure, including educational, social, healthcare infrastructure and other sectors). For long-term planning of the reconstruction of critical infrastructure, proposals are made for the practical implementation of sectoral and functional approaches in public administration in the relevant field. This position corresponds to the provisions of the Law of Ukraine «On Critical Infrastructure» № 1882-IX of 01.01.2024, providing for the construction and reconstruction of CI facilities according to the importance of their functions for consumers of services in various infrastructure sectors. In general, the study of public administration in the field of reconstruction of various sectors of the economy, as well as the analysis of the growth dynamics of Ukraine’s GDP in 2021-2023 according to the production method, indicates the strength of various types of economic activity.

THE INFLUENCE OF PRODUCTION RISKS ON THE SAFETY OF PRODUCTION PROCESSES: ANALYSIS AND FORECASTING

The study is focused on the analysis of production risks in the field of enterprise management. Production risk is described as the probability of occurrence of undesirable events that may lead to deviations from expected results due to various management decisions. The main characteristics of such a risk are its variability and uncertainty. Risk management is defined as a procedure that includes all aspects of the company’s activities, starting with the formation of a strategy and ending with the control of acceptable risks in order to achieve the set goals. The management process covers the identification of events that may adversely affect the production process and their proper management. The article presents a logical model of production risk management and its integration with the management system of the company’s fixed assets. To assess the level of risk and its comparative analysis, the index method was proposed, which involves the calculation of the production risk index for each type of production resources in order to determine the priority of work. The article also discusses the scales for assessing the probability of production risk and the impact of its consequences, developed on the basis of mathematical forecasting. These scales can be adapted taking into account the opinions of experts and collected data. The article reveals how enterprise resources are prioritized taking into account production risk and budget constraints. This includes developing asset maintenance and repair cost plans, as well as updating the risk register and creating a probability and consequence matrix. An important feature of the model is its difference from existing approaches to the distribution of production resources, which includes the use of a formalized criterion for priority selection of works.

Filantropía comunitaria en México: Narrativas emergentes de lo común, el territorio y la memoria

In the relationships between foundations and communities, resources of different types are mobilized and those who receive them are seen in an asymmetrical position; this study seeks to identify and interpret the narrative elements that characterize the perceptions about philanthropic practices among communities in Mexico; as well as to characterize the narrative elements that question the hegemonic definitions of philanthropy. Based on three workshops, with the participation of 70 people from 19 Mexican states, we analyzed knowledge and perceptions regarding the definition of community philanthropy, the recognition of differentiated contributions between men and women, and the recognition of the types of resources and how they are mobilized. The people participating in the workshops do not identify with a generalized definition of Community Philanthropy, but rather different philanthropic practices were made visible related to the work carried out in the private and public spheres, the processes of memory recovery and attachment to the territory. It is concluded that the visibility of the resources contributed by the communities, mainly the intangible ones, promotes symmetrical relationships; as well as recognizing that external donations enhance the processes that are already taking place within the communities.

Природные рекреационные ресурсы как основа развития санаторно-курортной отрасли Алтайского края

Introduction. Natural recreational resources and the conditions of the region form the scope of medical and health services, depending on the potential, infrastructure, state of the enterprises of the sanatorium and resort complex. The region has multidisciplinary sanatoriums that use advanced medical and health technologies based on natural recreational factors. The purpose of the study: to assess the natural and recreational resources of the region to improve the development of the sanatorium and resort industry; to create an information database and a map of natural recreational resources to improve the development of the sanatorium and resort industry and the possibility of using these resources to restore public health and ensure the rational use of resort and recreational resources and the sustainable development of the studied industry in the Altai Territory. The scientific groundwork for creating a base of recreational resources of the territories was formed during field and desk research, studying the dynamics of the development of sanatoriums, collecting information on a relational database that contains the coordinates of objects. Research methods: a systematic approach, analytical and graphical methods. geocoding using a GIS environment. The material for the study is a database, which is represented by types of recreational medicinal resources within the territory of the Altai Territory: hydro-mineral (deposit, geographical coordinates), landscape, climatic. The database includes the following items: sanatoriums: name, location with coordinates, number of places in the organization, treatment profiles, treatment procedures; recreational resources: hydro-mineral, landscape, climatic resources. Research results. The natural recreational resources of the region have been studied and an information database has been created. The history, dynamics of the development of the studied industry, the modern characteristics of sanatoriums and a map of natural recreational resources for the development of the sanatorium and resort industry are analyzed. The relational type database contains the coordinates of objects, which allows you to perform the procedure of geocoding or spatial positioning in any GIS environment. Recommendations are given for their development for the development of sanatorium and health resort activities and health tourism in the territory of the region. Conclusion. The created database makes it possible to solve the problem of accumulating data on recreational, sanatorium and health resort resources of the Altai Territory, as well as tourist bases, recreation centers, hotels / hotels. for the sustainable development of the sanatorium and resort industry in the Altai Territory. A scheme based on recommendations on the use of natural resources for various stages of treatment or prevention of various groups of diseases has been proposed. At this stage, the structure of the Natural Resources Base for various categories of diseases has been developed, which allows 1) to assess the potential of medical resources; 2) to develop Recommendations-suggestions for implementation in practice of treatment of different groups of diseases.

Deli River Water Quality Control In Medan City Using Statistical Methods Quality Control

Clean water is a type of water-based resource that is of good quality and is commonly used by humans for consumption or in carrying out daily activities. Clean water quality that meets standards/quality is very difficult to obtain because river water quality has been polluted by various kinds of waste from various human activities, so that the potential impact on river quality decreases both in terms of quantity and quality. 70% of the Deli River pollution is solid and liquid waste, domestic waste, industrial waste, and along the Deli River it has affected the quality of the river water. To quantitatively identify air quality, the Statistical Quality Control method can be used. Statistical quality control is a collection of strategies, techniques, and actions taken to ensure that they produce a quality product. The aim of this research is to determine the control of the water quality of the Deli River in Medan City using Statistical Quality Control. Based on the data obtained, the water quality standards of the Deli River in the Sumatra II River Basin Agency from January 2023 - December 2023 have not been statistically controlled because there are several data samples that are out of control. Then, Deli River water quality control was carried out based on graphic control using SQC (Statistical Quality Control). The results of quality control using SQC show that SQC provides different controls, because in SQC TDS control on data on controlled 3 times, while the and R data on DO, the and R data on and and R data for fatty oil are controlled.

Information-technical simulation of the elimination of the consequences of military actions and man-made disasters in the territory of Ukraine

The work is devoted to solving the scientific and practical task of modeling the elimination of the consequences of military operations and man-made disasters on the territory of Ukraine.Military actions and emergency situations are situations that lead to harmful social, economic and environmental consequences. In the crisis period, rescue measures are carried out, aimed at localizing the consequences of the manifestation of the sources of threat and increasing the survivability of regional components in the affected areas. Territorial distribution, heterogeneity, multi-connectivity and dynamism of impactful impacts and protective measures significantly complicate the processes of managing natural and man-made safety. The purpose of the article is to formulate the formulation of the problem of modeling the liquidation of the consequences of military operations and man-made disasters on the territory of Ukraine, using the principles of a systemic approach. The classification of sources of emergency situations based on the causes of their occurrence, different types of affected objects depending on the nature of behavior in extreme conditions, different types of protection resources that implement the necessary protective measures is given. To find the optimal plan for the use of forces and means of the man-made security system at the stage of liquidation of the consequences of military disasters and man-made disasters, a program-target approach to planning using the Pareto function of the system was used. Direct and inverse problems of finding the optimal plan are considered. The selection of objects for a direct task is carried out in order according to their priority. When solving the inverse problem, objects are selected until a given level of system effect is reached, which accumulates during the selection process. In crisis situations caused by dangerous events, it is important to take effective rescue measures to localize and reduce the consequences of accidental and threatening situations. The main goal of such measures is not only to increase the survivability of the regions in the affected areas, but also to ensure the rapid restoration of the normal functioning of society after the crisis.

Resource Cluster-Based Resource Search and Allocation Scheme for Vehicular Clouds in Vehicular Ad Hoc Networks.

Vehicular clouds represent an appealing approach, leveraging vehicles' resources to generate value-added services. Thus, efficiently searching for and allocating resources is a challenge for the successful construction of vehicular clouds. Many recent schemes have relied on hierarchical network architectures using clusters to address this challenge. These clusters are typically constructed based on vehicle proximity, such as being on the same road or within the same region. However, this approach struggles to rapidly search for and consistently allocate resources, especially considering the diverse resource types and varying mobility of vehicles. To address these limitations, we propose the Resource Cluster-based Resource Search and Allocation (RCSA) scheme. RCSA constructs resource clusters based on resource types rather than vehicle proximity. This allows for more efficient resource searching and allocation. Within these resource clusters, RCSA supports both intra-resource cluster search for the same resource type and inter-resource cluster search for different resource types. In RCSA, vehicles with longer connection times and larger resource capacities are allocated in vehicular clouds to minimize cloud breakdowns and communication traffic. To handle the reconstruction of resource clusters due to vehicle mobility, RCSA implements mechanisms for replacing Resource Cluster Heads (RCHs) and managing Resource Cluster Members (RCMs). Simulation results validate the effectiveness of RCSA, demonstrating its superiority over existing schemes in terms of resource utilization, allocation efficiency, and overall performance.

Ergodic Control of Bipartite Matching Queues with Class Change and Matching Failure

Motivated by transplant applications, we study a bipartite matching queue with multiclass customers and multitype resources. Customers may change their classes or abandon the system while waiting in queue, and they may decline the offered resource units which results in matching failure. We are interested in designing efficient instantaneous matching policies that allocate resources upon arrival to waiting customers. Our objective is bicriteria and formulated as a cost functional that linearly combines the long-run average expected reward due to successful matches and the long-run average expected cost from customer waiting and abandonment. We first develop a stability condition on the class change and abandonment rates, which requires at least one customer queue with abandonment and that any queue without abandonment have a class transition path to a queue with abandonment. Under this condition, we construct a simple linear program, referred to as the fluid control problem (FCP), which serves as a lower bound for the original stochastic control problem under any admissible policy. We then propose a randomized matching policy based on the solution of the FCP and show that the proposed policy is asymptotically optimal under both the long-run average and ergodic cost criteria. In addition, we apply our method to study two X matching models with two customer classes and two resource types to provide insights on how the class change and matching failure impact the optimal policies.

Locally Rainbow Paths

We introduce the algorithmic problem of finding a locally rainbow path of length l connecting two distinguished vertices s and t in a vertex-colored directed graph. Herein, a path is locally rainbow if between any two visits of equally colored vertices, the path traverses consecutively at leaset r differently colored vertices. This problem generalizes the well-known problem of finding a rainbow path. It finds natural applications whenever there are different types of resources that must be protected from overuse, such as crop sequence optimization or production process scheduling. We show that the problem is computationally intractable even if r=2 or if one looks for a locally rainbow among the shortest paths. On the positive side, if one looks for a path that takes only a short detour (i.e., it is slightly longer than the shortest path) and if r is small, the problem can be solved efficiently. Indeed, the running time of the respective algorithm is near-optimal unless the ETH fails.

Day-ahead dispatch with carbon trading for multi-regulation participation and emission reduction considering multi-type energy storage

In this work, a day-ahead dispatch optimization model with energy-type, power-type, and composite-type energy storage systems (ESSs) is established to participate in multiple frequency control ancillary services (FCASs), in wind-energy-integrated power systems. This model is designed to better handle the operational uncertainties of wind energy, mitigate operational risks and reduce carbon emissions. Leveraging the complementary features of different types of ESSs, the proposed operation strategies of regulation units can respond to multiple FCASs and achieve the optimal task allocation among different types of resources. Various uncertainty handling approaches are adopted to better cope with the randomness of step disturbances and wind power fluctuations. Furthermore, a new environmental factor is devised in the dispatch objective and the time-of-use carbon-price carbon emission trading (ToU-CET) and ladder-type CET (LT-CET) models are developed. They can incorporate dynamic carbon prices and leverage mechanisms to reduce carbon emissions during daily operations. The effectiveness of the proposed model is verified by case studies, and the decisions can help save energy and reduce carbon emissions in modern power systems with wind power generators with high security and reliability.