Utility Maximization Research Articles

Dynamic computation scheduling for hybrid energy mobile edge computing networks

The rapid expansion of Mobile Edge Computing (MEC) is driven by the growing demand for resource-intensive applications within the Internet of Things. Computation offloading allows these applications to be executed at the network edge, but it leads to significant electricity expenses for network operators. To mitigate these costs, one promising solution is to power base stations (BSs) with a hybrid energy supply that combines unpredictable harvested energy with stable energy from the smart grid. This paper investigates joint computation scheduling for mobile devices (MDs) and resource allocation in a MEC network incorporating hybrid energy sources. Our objective is to maximize long-term time-averaged service utility by optimizing parameters such as BS battery supply, harvestable energy, CPU frequency, transmission power, task-partition factor, and MD-BS associations. To tackle this complex problem, we exploit the Lyapunov optimization framework to decompose it into deterministic subproblems for each time slot and propose an online network service utility maximization scheduling (NSUMS) algorithm. Experimental results show that our algorithm outperforms benchmark schemes in service utility and energy expenditure, improving the completion ratio by 32%, reducing the failure rate by 80%, and decreasing MD energy consumption by 28%.

Asymmetric Atomic Dual-Sites for Photocatalytic CO2 Reduction.

Atomically dispersed active sites in a photocatalyst offer unique advantages such as locally tuned electronic structures, quantum size effects, and maximum utilization of atomic species. Among these, asymmetric atomic dual-sites are of particular interest because their asymmetric charge distribution generates a local built-in electric potential to enhance charge separation and transfer. Moreover, the dual sites provide flexibility for tuning complex multielectron and multireaction pathways, such as CO2 reduction reactions. The coordination of dual sites opens new possibilities for engineering the structure-activity-selectivity relationship. This comprehensive overview discusses efficient and sustainable photocatalysis processes in photocatalytic CO2 reduction, focusing on strategic active-site design and future challenges. It serves as a timely reference for the design and development of photocatalytic conversion processes, specifically exploring the utilization of asymmetric atomic dual-sites for complex photocatalytic conversion pathways, here exemplified by the conversion of CO2 into valuable chemicals.

Machine-learning based control of bi-modular multilevel PWM inverter for high power applications.

This paper presents the topology and machine learning-based intelligent control of high-power PV inverter for maximum power extraction and optimal energy utilization. Modular converters with reduced components economic and reliable for high power applications. The proposed integrated intelligent machine learning based control delivers power conversion control with maximum power extraction and supervisory control for optimal load demand control. The topology of the inverter, operating modes, power control and supervisory control aspects are presented. Simulation is carried out in MATLAB/SIMULINK to verify the feasibility of the proposed inverter and control algorithm. The experimental study is presented to validate the simulation results. The operational performance of the proposed topology is evaluated in terms of operational parameters such as regulation of output power, and load relay control and is compared to existing topologies. The economic performance is also evaluated in terms of power switch sizing and reliability in power delivery concerning switch or power sources failure.

Economic utility of Colombian Romosinuano cattle

The objective of this study was to quantify the economic utility in Romosinuano production systems by developing a bioeconomic model assumed cow-calf, cow-calf plus stocker (CCPS), and complete cycle operations. Each system produced males for sale and females for replacement. Input parameters were established from breed data collected by AGROSAVIA. Revenues were estimated using the official cattle price, and production costs were quantified per activity. In the results, for cow-calf operations, the maximum economic utility was 244.12 USD. CCPS, yielded 231.86 USD, and Complete cycle, 268.94 USD. The genetic progress per generation for W240, W480, W24 and CI was + 3.8 kg, + 5 kg, + 5.9 kg, and -1 d, respectively. The price of livestock was the sensitized variable with the greatest impact on maximum economic utility (± 118.64 USD to ± 155.44 USD), followed by mineral supplementation (16.31 USD to ± 37.34 USD). The sensitized variables with the lowest impact were food (± 1.62 USD to ± 1.8 USD) and health plan supplies (± 6.03 USD to ± 9.13 USD). It is concluded that economic utility defined as a composite trait influenced by the characteristics that shape it favors genetic progress and the identification of animals with optimal performance in different bovine production systems.

Efficient purification of butanone and ethyl acetate from waste water by extractive distillation based on cost, thermodynamic and environmental analysis

Butanone and ethyl acetate are widely used in chemical production and separation. They are usually used together in actual production. Therefore, it also appears in the waste water. Butanone and ethyl acetate will inevitably form three binary azeotropes with water, rendering their separation very difficult. In this study a butanone/water/ethyl acetate ternary azeotropic system is separated by an extractive distillation process. The extractant is screened by relative volatility and toxicity analysis. The optimal process parameters are obtained based on a genetic algorithm by minimizing annual total cost, achieving an efficient separation of the butanone/water/ethyl acetate ternary azeotropic system. Based on the thermodynamic analysis of the extractive distillation process, the separation process is improved and optimized to achieve a maximum utilization efficiency of energy. The annual total cost and pollutant emissions are studied and analyzed. The optimized extractive distillation process can significantly reduce the energy consumption and pollutant emissions, improve the thermodynamic efficiency and economy. The efficient and energy-saving extraction distillation process based on thermodynamic analysis provides a viable option towards an environmentally benign industry.

Integrated Quality of Service for Offline and Online Services in Edge Networks via Task Offloading and Service Caching.

Edge servers frequently manage their own offline digital twin (DT) services, in addition to caching online digital twin services. However, current research often overlooks the impact of offline caching services on memory and computation resources, which can hinder the efficiency of online service task processing on edge servers. In this study, we concentrated on service caching and task offloading within a collaborative edge computing system by emphasizing the integrated quality of service (QoS) for both online and offline edge services. We considered the resource usage of both online and offline services, along with incoming online requests. To maximize the overall QoS utility, we established an optimization objective that rewards the throughput of online services while penalizing offline services that miss their soft deadlines. We formulated this as a utility maximization problem, which was proven to be NP-hard. To tackle this complexity, we reframed the optimization problem as a Markov decision process (MDP) and introduced a joint optimization algorithm for service caching and task offloading by leveraging the deep Q-network (DQN). Comprehensive experiments revealed that our algorithm enhanced the utility by at least 14.01% compared with the baseline algorithms.

Portfolio optimization beyond utility maximization: the case of driftless markets

This paper presents a novel perspective on portfolio optimization by recognizing that prices can be expressed as a scaled likelihood ratio of state price densities. This insight leads to the immediate conclusion that the optimal portfolio has a simple representation in terms of the likelihood ratio between the agent-defined physical measure and the risk-neutral measure, eliminating the need for utility maximization. The agent only needs to specify her choice of the physical measure, and we demonstrate both frequentist and Bayesian approaches for this selection. Utility maximization can be seen as a specific method for choosing the physical measure. The resulting likelihood ratio is log-utility optimal with respect to all benchmarks, aligning our approach with finding the growth optimal portfolio described in the literature. Notably, the expected log return corresponds to the relative entropy between the physical and risk-neutral measures, establishing a fundamental link to information theory. As a proof of concept, we explore previously unexplored territory in portfolio optimization, specifically addressing perceived mean reversion in specific driftless markets, such as foreign exchange (FX) markets.

Aquatic food resources in tropical Africa: a comprehensive analysis

Aquatic food production holds great promise as a viable solution to tackle the pressing issue of meeting the protein requirements of the African populace. It plays a crucial role in food security and economic growth, especially in tropical Africa. With a fast-expanding population, there is a growing need for aquatic food sources to provide inexpensive protein and essential nutrients. Despite Africa’s vast aquatic food source supplies and the importance of aquatic food in healthy and sustainable diets, several challenges hinder its full exploitation in the tropical African environment. This study, therefore, aims to assess the existing state of aquatic food resources in Africa, examine the nutritional advantages associated with these foods, and identify the problems that hinder their maximal utilization. The findings highlight the differences in aquatic protein consumption across various countries, emphasizing the importance of considering local factors when formulating nutritional interventions and policies. The comparison between the supply of protein from aquatic sources and land animals across African nations revealed a consistent trend of lower availability of aquatic protein. Africa, in particular, had relatively lower per capita consumption values of animal protein. The continent’s average quantity of land animal food significantly surpassed the average aquatic food supply. This suggests a predominant reliance on land animal sources in African countries to meet dietary protein needs. This finding holds significant importance for policymakers, nutritionists, and stakeholders, highlighting the need for targeted strategies to improve protein accessibility in African countries. Moreover, it calls for attention to address any existing imbalances between the utilization of land and aquatic protein sources in the region.

Does correlation matter in probability matching? A laboratory investigation

Probability Matching, a classical violation of expected utility maximization, refers to people's tendency to randomize, or even match their choice frequency to the outcome probability, when choosing over binary lotteries that differ only in their probabilities. Why? I present an experiment designed to distinguish between several broad classes of explanations: (1) models of Correlation-Invariant Stochastic Choice — randomizing due to factors orthogonal to the correlation between lotteries, such as non-standard preferences or errors, and (2) models of Correlation-Sensitive Stochastic Choice — deliberately randomizing due to misperceived hedging opportunities, especially when lotteries are negatively correlated. My experimental design differentiates between their testable predictions by varying the correlation between lottery outcomes. The findings indicate that the first class, despite being home to most existing theories, has limited explanatory power. Using additional treatment, I rule out Similarity Heuristics as a competing explanation with the second class. The results indicate that a vast majority of individuals deliberately randomize due to misperceived hedging opportunities.

Mining Enterprise Production Line Optimal Load Modelling

The article is devoted to the issues of the mining enterprise production line optimal load model. A large number of issues to related to alternative production plan implementation transition are considered in various works. A mathematical model to form an optimal plan mining enterprise raw material mixture from deposits is proposed in the study. A method of multi-criteria alternative ranking in terms of integral efficiency indicator with the following problem solution of optimal plan determination for a raw material mixture from deposits was chosen for that purpose. The article proposes an approach to determine the production line optimal loading plan of a mining enterprise based on the creation of an ore mixture with the highest utility. The value of a particular deposit is determined by a variety of factors, including the distance from the production line, the ore content in the rock, and the volume of the deposit. The paper shows that the development of a specified field management can be implemented based on solving linear programming problems. The hierarchy contains three levels: the system purpose; the factors influencing the deposit appeal (the metal content, the deposit volume, and transport accessibility); alternatives (deposits of raw materials directly). Let's assume that it is necessary to find the maximum efficiency by means of an ore mixture from the given deposits. Resource restrictions are imposed on the task: the work and machine time fund, the amount of first type reagent, and the amount of second type reagent. The composition of the constraint vector can be set depending on the value of the resources. The study found that the optimal plan is implemented under the complete resource utilization both of the first and the second types and a fifty-three percent level of the third resource utilization. Despite the low integral assessment of the raw material value of the fourth deposit, which is mainly determined by the low ore content in the rock, with respect to other deposits, its maximum utilization is also recommended, which in turn, is determined by the low resource intensity of ore extraction from this rock.

A New Torque Control Approach for Torque Ripple Minimisation in Switched Reluctance Drives

The switched reluctance motor (SRM) has many merits, such as robustness, a simple construction, low cost, and no permanent magnets. However, its deployment in servo applications is restrained due to acoustic noise and torque ripple (TR). This paper presents a new torque control approach for TR reduction in switched reluctance drives. The approach is based on the maximum utilisation of the available dc-link voltage, hence extending the zero torque-ripple speed range. The approach is suitable for an SRM with any number of phases and stator/rotor poles. Soft switching control is deployed, which reduces switching losses. At any instant (regardless of the number of phases being conducted simultaneously), only one phase current is controlled. The well-established torque-sharing function concept is adapted and generalised to cater for more than two phases conducting simultaneously. MATLAB/Simulink confirmation simulations are based on the widely studied four-phase 8/6, 4 kW, 1500 rpm SRM.

Epidemic dynamics of complex networks under pulse treatment and vaccination

The dynamics of a new Susceptible-Vaccinated-Infected-Recovered (SVIR) epidemic model in complex networks under constant and pulse control are investigated. Firstly, the epidemic model in complex networks under constant control is proposed. Utilizing the basic reproduction number, the sufficient conditions for stabilizing the epidemic under constant control are established. Since constant control is not conducive to resource conservation, it has been replaced by pulse control in epidemic model. The paper demonstrates the global attractiveness of the disease-free periodic solution of the model under pulse treatment and pulse vaccination. In addition, a sufficient condition is put forward to make sure that the system persists under pulse control, indicating periodic outbreaks of the epidemic. Furthermore, the epidemic is uniformly persistent when the pulse period is greater than the pulse period threshold or the vaccination rate is less than the vaccination threshold. Finally, several numerical simulations prove the feasibility of the theoretical results. By comparing the pulse period with a critical value, the strategy that most contributes to controlling the epidemic propagation is chosen from constant control and pulse control to achieve maximum utilization of resources. Moreover, it shows that decreasing the fraction of pulse treatment and pulse vaccination or prolonging the pulse period is beneficial to epidemic propagation. The topology of complex networks has a non-negligible influence on the epidemic propagation under pulse control, which is demonstrated both theoretically and numerically.

Философия микроэкономики: ключевые тенденции XXI в.

The article analyzes the current key philosophical trends in academic publications on microeconomics. The author investigates new sense that economists imply into traditional methodological grounds of Microeconomics. Based on classical marginalist microeconomic theory, contemporary Russian and World economists introduce new meanings and new interpretations into such important aspects of Microeconomics as microeconomic agents, choice and limitations for producers and consumers, market interactions and competition, time and space of microeconomic phenomena. New methodological grounds of Microeconomics in the sphere of decision-making are analysed on the ground of content-analysis. The process of economic choice in new conditions of the 21st century is based on deliberate consumption of economic goods and thoughtful limitations for time, place and number of alternatives when decision is made. Maximization of utility as the goal of behavior of a rational individual is replaced by the criterion of satisfaction and happiness which now form important elements of microeconomic analysis. New approaches to microeconomic models are formed on the ground of mathematical theories of dynamic chaos and nonlinear processes that allow to forecast more precisely microeconomic events in the era of turbulence. Stochastic concepts and differentiated games take the place of traditional statistical strict determinism of microeconomic theories and uncertainty acquires new depth as a fundamental pattern of functioning of microeconomic processes. The article specifies the motives and goals of individual and collective agents acting at micro level. Thus microeconomics of the 21st century has reconsidered its key philosophical grounds, which would contribute to a new paradigm of Microeconomic Analysis.

Materials Containing Single-, Di-, Tri-, and Multi-Metal Atoms Bonded to C, N, S, P, B, and O Species as Advanced Catalysts for Energy, Sensor, and Biomedical Applications.

Modifying the coordination or local environments of single-, di-, tri-, and multi-metal atom (SMA/DMA/TMA/MMA)-based materials is one of the best strategies for increasing the catalytic activities, selectivity, and long-term durability of these materials. Advanced sheet materials supported by metal atom-based materials have become a critical topic in the fields of renewable energy conversion systems, storage devices, sensors, and biomedicine owing to the maximum atom utilization efficiency, precisely located metal centers, specific electron configurations, unique reactivity, and precise chemical tunability. Several sheet materials offer excellent support for metal atom-based materials and are attractive for applications in energy, sensors, and medical research, such as in oxygen reduction, oxygen production, hydrogen generation, fuel production, selective chemical detection, and enzymatic reactions. The strong metal-metal and metal-carbon with metal-heteroatom (i.e., N, S, P, B, and O) bonds stabilize and optimize the electronic structures of the metal atoms due to strong interfacial interactions, yielding excellent catalytic activities. These materials provide excellent models for understanding the fundamental problems with multistep chemical reactions. This review summarizes the substrate structure-activity relationship of metal atom-based materials with different active sites based on experimental and theoretical data. Additionally, the new synthesis procedures, physicochemical characterizations, and energy and biomedical applications are discussed. Finally, the remaining challenges in developing efficient SMA/DMA/TMA/MMA-based materials are presented.

Regional variation in donation after circulatory death heart allograft utilization

ObjectiveRandomized data support transplantation of hearts from donors after circulatory death. This may lead to a sizeable increase in the donor pool. Regional variations in donors after circulatory death heart use were examined to help elucidate barriers to donor pool expansion. MethodsThe United Network for Organ Sharing deceased donor dataset was queried for adult (age ≥ 18 years) donors after circulatory death donors of at least 1 organ between January 2020 and December 2023. Donors were stratified by the extent their respective cardiac allografts progressed through the donation process. United Network for Organ Sharing region-level use rates and annual trends were assessed. ResultsOf 17,239 adult donors after circulatory death donors who donated at least 1 organ for transplant during the study period, 1196 (9.4%) were heart donors. Regional donors after circulatory death heart donor pursuit rates ranged from 97% to 100%, consent attainment rates from 94% to 99%, and heart recovery rates from 5% to 10%. The transplantation rate of recovered organs ranged from 90% to 97%. Multivariable logistic regression demonstrated United Network for Organ Sharing region to be independently associated with donors after circulatory death heart use after controlling for baseline differences in donor risk. ConclusionsTransplantation of donors after circulatory death heart allografts has increased in the United States since 2020, but the overall number of hearts procured and transplanted from donors after circulatory death donors remains low. The operational barriers to transplantation of donors after circulatory death hearts require further investigation. Further, significant regional variation exists regarding rates of progression of donors after circulatory death hearts through the donation process. Sharing of successful practices among Organ Procurement Organizations and transplant centers will facilitate maximal use of this new donor pool.

Highly efficient acetylene semi-hydrogenation over Cun cluster stabilized Pd1 single-atom catalysts

The single-atom catalysts (SACs) with the maximum metal utilization efficiency exhibits the advantage of high ethylene selectivity compared with the cluster catalyst in the acetylene semi-hydrogenation reaction, however, the SACs also possess the disadvantages of poor activity and high-temperature stability. Thus, maintaining high reactivity and stability while achieving high ethylene selectivity faces a challenge. The coordination environment of the first metal atom is reasonably adjusted by coordinating with the second adjacent metal atom, which provides the possibility of stimulating the intrinsic reactivity of SACs and maintaining the atomic properties unchanged during the reaction. Here, we prepared Pd1-Cun/Al2O3 catalysts with palladium single-atom species (Pd1) and copper cluster species (Cun) loaded on Al2O3 support by combining “anchoring” and “site isolation”, which effectively prevented the Pd1 transition to Pd cluster species (Pdn) during the reaction process while improving the activity of Pd1. The reaction evaluation results revealed that the activity of the Pd1-Cun/Al2O3 catalyst increased by 60 % compared with the Pd1/Al2O3 catalyst, and the stabilization time of ethylene selectivity (83 %) of Pd1-Cun/Al2O3 catalyst increased by > 100 h when the same conversion for both catalysts. The aberration-corrected high-angle annular dark-field scanning transmission electron microscopic (AC-HAADF-STEM), Diffuse reflectance Fourier transform infrared spectroscopy of CO adsorption (CO-DRIFTS) and X-ray photoelectron spectroscopy (XPS) showed that the “synergistic effect” of Cun and Pd1 is the main reason for the increase of reactivity, and the “site isolation” effect of Cun is a key factor in preventing the transition of Pd1 to Pdn. This method provides new research ideas for improving the activity of SACS and inhibiting the agglomeration of active centers.

Utilization of coffee by-products for the production of alcoholic and non-alcoholic beverages and their physiochemical and sensory characteristics

Coffee pulp is the first byproduct of coffee processing. It contains contaminants due to its composition and production volume. This study evaluates coffee by-products wine from fresh coffee pulp, used as a substrate, along with cascara tea from dried coffee pulp. About 40 % of pulp was obtained during the wet processing of coffee. The pulp was dried directly in the sun for 3–4 days until the moisture content of the cascara drink was below 8 %. Similarly, for the alcoholic beverage (wine), the must was processed to the TSS (24°Brix), and the fermentation process was carried out for up to 10–12 days until the TSS was down to 10°Brix. After the fermentation was completed, the fermented wine was kept for secondary fermentation where it undergoes aging or clarification. The clarified wine was then filled into sterilized glass bottles for further use. The chemical composition of coffee pulp (moisture, ash, crude protein, acidity, fat, crude fiber, caffeine, tannin, reducing sugar, TSS, and flavonoids) was analyzed. Both beverages were also subjected to sensory analysis and chemical analysis Caffeine, tannin, pH, and acidity of the non-alcoholic beverage were 220 mg/L, 45.7 mg/L, 4.16 and 1.24 %, respectively. Alcohol, methanol, ester, aldehyde, pH, TSS, acidity, caffeine, tannin, and flavonoid were 10.58 ABV %, 295 mg/L, 75.26 ppm, 10.12 ppm, 3.2, 10°Brix, 0.52 %, 28.96 ppm, 280 mg/L and 405 mg/g, respectively. The alcoholic and non-alcoholic beverages made from coffee pulp were superior in terms of sensory attributes. Therefore, it is possible to develop both beverages from coffee pulp and maximum utilization of waste coffee pulp

Optimization of merchandise delivery logistics: case studies at Bejaia port

The object of the study is the logistics of goods delivery by ports. This study presents a methodology designed to improve the efficiency of goods delivery logistics at the Bejaia port (Algeria). It prioritizes the optimization of empty container allocation to the ZEP zone, taking into account the geographical accessibility of the Tixter area, aiming to reduce the high costs linked with goods transportation. At the core of this strategy lies the use of simulation techniques to optimize truck fleets, ensuring maximum utilization rates and effective management of delivery operations by the Bejaia Mediterranean Terminal (BMT) for its clients. Addressing this challenge, the study offers an exhaustive analysis, integrating truck assignment models and accessibility assessments of logistic zones. The results highlight the paramount significance of optimal resource allocation and synchronized client coordination for achieving streamlined goods delivery. It becomes apparent that employing these methodologies can yield substantial productivity improvements, emphasizing their pivotal role in strengthening the port's logistical infrastructure. Via rigorous analysis and insights derived from data, this study elucidates avenues towards achieving operational excellence within the logistical infrastructure of the port. By harnessing innovative strategies to confront persistent challenges, such as optimizing truck fleets and strategically allocating resources, the research anticipates a profound transformation in the efficiency and cost-effectiveness of goods delivery operations. Ultimately, the integration of these methodologies holds the potential to propel the port of Bejaia towards enduring success and a competitive edge in the ever-evolving landscape of global trade. Through extensive efforts, this strategy can be extended to other national and international ports operating under similar conditions, as it provides valuable information and methodologies to optimize logistics and transportation operations.

Collaborative computation offloading and wireless charging scheduling in multi-UAV-assisted MEC networks: A TD3-based approach

Computation offloading, resource allocation, and endurance issues in unmanned aerial vehicle (UAV)-aided mobile edge computing (MEC) networks have always been a research focus. UAV-aided MEC allows mobile users’ (MUs’) tasks to be offloaded to drones for processing in special scenarios, such as natural disasters or military attacks. However, as the number and size of offloaded tasks continuously increase, it is difficult for a single UAV to meet all computational demands, result in the decline of QoS. In order to address this issue, this paper presents a collaborative computation offloading scheme where multiple UAVs can cooperate to handle massive tasks. Firstly, considering that battery-limited UAVs cannot complete all tasks and sustain flight without recharging, we incorporate charging stations (CS) into multi-UAV-assisted MEC networks. Subsequently, we design a price-based incentive mechanism to encourage the adjacent UAVs with unused computation resources to cooperate with busy UAVs, so as to maximize the total revenue obtained from UAVs’ collaborative computation. Then, we formulate the joint optimization problem of computation offloading, resource allocation and charging scheduling as a Markov Decision Process (MDP), and propose a Twin Delayed Deep Deterministic policy gradient (TD3) algorithm to find optimal strategies. Finally, extensive simulations demonstrate that the proposed TD3 algorithm outperforms other benchmark methods, achieving the maximum overall system utility under different scenarios.

Rational design of g-C3N4-based photocatalysts with intramolecular donor-acceptor structures for deep oxidation of emerging organic micropollutants

An in-situ route for the fabrication of intramolecular electron donor-acceptor (D-A) structured g-C3N4 photocatalysts is developed by the preorganization of urea with the precursor of electron donor units, such as 4-iodobenzaldehyde, 5-bromo-2-thiophenaldehyde and 5-bromo-2-furaldehyde, followed by thermal polymerization. In the resulting benzene unit-, thiophene unit- and furan unit-based D-A structured g-C3N4 photocatalysts, namely, BHCNx, SCNx, and OCNx, the incorporated electron donor units (i.e., benzene units, thiophene units and furan units) link with the electron acceptors (i.e., heptazine units) through CN and CN covalent bonds. In comparison of bulk g-C3N4, all D-A structured g-C3N4 display notably enhanced visible-light photocatalytic oxidation activity in the degradation of emerging organic micropollutants, p-nitrophenol (PNP) and methylparaben (MPB), in which the apparent first-order kinetic constant of the optimized BHCN2, SCN2, and OCN2 is 1.6, 3.0 and 6.8 times higher than bulk g-C3N4 for PNP degradation and 1.9, 3.4 and 2.6 times higher than bulk g-C3N4 for MPB degradation. Importantly, the micropollutants can be not only degraded but also mineralized completely. The catalysts are also robust in the removal of mixed emerging organic micropollutants in pharmaceutical wastewater, exhibiting potential of dealing with organic micropollutants in wastewater. Mechanism studies reveal that the unique intramolecular charge transfer process in the catalysts enhances visible-light harvesting capacity, boosts directional transfer of the photogenerated charges and increases adsorption towards oxygen molecules. These collective improvements can maximum utilization the photogenerated electrons and holes to yield plentiful reactive oxygen species for deep oxidization of the pollutants.