Evolutionary Game Research between the Government Environmental Regulation Intensities and the Pollution Emissions of Papermaking Enterprises

Environmental regulations of different intensities may have different impacts on polluting enterprises. The purpose of this article is to analyze how different environmental regulations affect the pollution discharge strategies of papermaking enterprises. By establishing an evolutionary game model between the government environmental regulation intensities and the pollutant emissions from papermaking enterprises, this thesis further solves the model and performs stability analysis and finally uses MATLAB to conduct simulation studies. And the researching results show that papermaking enterprises will take risks to choose the illegal pollutant discharge strategies when the illegal profits are large. Further analysis shows that the increase in the successful probability of the strong environmental regulations does not necessarily force papermaking enterprises to choose to comply with pollution discharge regulations. However, papermaking enterprises may choose to comply with discharge pollution regulations not only by increasing the successful probability of strong environmental regulations but also by increasing the rewards and punishments for papermaking enterprises as well as by increasing the probability of reporting violations of pollutants. Based on the above results, the author proposes several countermeasures, such as establishing a specialized pollution monitoring agency, encouraging third-party supervision, reporting pollution behaviors, and increasing penalties for polluting companies for violations. China is in a critical period of transition from rapid development to high-quality development. It will provide some reliable references for the construction of a green economy and an ecological economy that the characteristics and relationships between the intensity of government environmental regulations and corporate pollution emissions revealed in this article.

Modeling bacterial resistance to antibiotics: bacterial conjugation and drug effects

Antibiotic resistance is a major burden in many hospital settings as it drastically reduces the successful probability of treating bacterial infections. Generally, resistance is associated with bacterial fitness reduction and selection pressure from antibiotic usage. Here, we investigate the effects of bacterial conjugation, plasmid loss, and drug responses on the population dynamics of sensitive and resistant bacteria by using a mathematical model. Two types of drugs are considered here: antibiotic M that kills only sensitive bacteria and antibiotic N that kills both bacteria. Our results highlight that larger dose and longer dosing interval of antibiotic M may result in the higher prevalence of resistant bacteria while they do the opposite for antibiotic N. When delays in administering initial and second doses are incorporated, the results demonstrate that the delays may lead to the higher prevalence of resistant bacteria when antibiotic M or N is administered with the longer time of bacteria remaining at the lower prevalence of the latter. Our results highlight that switching antibiotic agents during a treatment course and different bacterial strain characteristics result in a significant impact on the prevalence of resistant bacteria.

The Parallel Quantum Algorithm for the Class of Optimization

For the given n numbers without any other prior information, how to obtain the minimum norm of them only by assigning their signs before them? Moreover, how to know one number is the multiplication of which ones in the given n numbers? In classical solutions, enumeration is the only way via trying one by one, whose complexity is about [Formula: see text] and this is a NP problem. In this paper, the parallel quantum algorithm is proposed to solve the two questions shown in above. Through the quantum design of linear expressions of angles in parallel circuits, only [Formula: see text] time’s quantum operations and about [Formula: see text] times’ quantum measurements in the average will give the correct answer in the successful probability of 0.97 instead of the traditional [Formula: see text] times. The example and theoretical analysis demonstrate the efficiency of the proposed method.

An Improved Method to Evaluate the Synchronization in Neural Key Exchange Protocol

The synchronization between two neural networks by mutual learning can be used to design the neural key exchange protocol. The critical issue is how to evaluate the synchronization without a weight vector. All existing methods have a delay in evaluating the synchronization, which affects the security of the neural key exchange. To evaluate the full synchronization of neural networks more timely and accurately, an improved method for evaluating the synchronization is proposed. First, the frequency that the two networks have the same output in previous steps is used for assessing the degree of them roughly. Second, the hash function is utilized to judge whether the two networks have achieved full synchronization precisely when the degree exceeds a given threshold. The improved method can find the full synchronization between two networks with no information other than the hash value of the weight vector. Compared with other methods, the full synchronization can be detected earlier by two communication partners which adopt the method proposed in this paper. As a result, the successful probability of geometric is reduced. Therefore, the proposed method can enhance the security of the neural exchange protocol.

Enhanced Superdense Coding Over Correlated Amplitude Damping Channel

Quantum channels with correlated effects are realistic scenarios for the study of noisy quantum communication when the channels are consecutively used. In this paper, superdense coding is reexamined under a correlated amplitude damping (CAD) channel. Two techniques named as weak measurement and environment-assisted measurement are utilized to enhance the capacity of superdense coding. The results show that both of them enable us to battle against the CAD decoherence and improve the capacity with a certain probability. Remarkably, the scheme of environment-assisted measurement always outperforms the scheme of weak measurement in both improving the capacity and successful probability. These notable superiorities could be attributed to the fact that environment-assisted measurement can extract additional information from the environment and thus it performs much better.

Research on the Probability Distribution of the Underwater Moving of the Wrecked Targets

There has a great challenge for deep-sea exploration and search because the underwater motion trajectories and sinking location of wrecked targets are uncertain under the influence of random factors such as currents. The traditional underwater motion model can’t know exactly the probability distribution of wrecked targets. This thesis introduces Monte-Carlo random function into the underwater non-dynamic motion equations and the targets sinking location probability model based on Monte-Carlo method is established as well. The purpose is to get the targets’ sinking probability distribution and to improve the successful probability of searching the wrecked targets. In this thesis, the motion reference frame is introduced firstly, and the motion model of underwater non-dynamic subsidence based on the motion reference frame is established then. The Monte-Carlo method of stochastic simulation is discussed at the same time. After that the drop point of the sandbag is taken as an example to verify the reliability of the model. Finally, the probability of targets dispersion underwater is simulated and analyzed, and the conclusion is drawn that the whole points are normally distributed.

Quantum Controlled Teleportation of Arbitrary Two-Qubit State via Entangled States

We put forward an efficient quantum controlled teleportation scheme, in which arbitrary two-qubit state is transmitted from the sender to the remote receiver via two entangled states under the control of the supervisor. In this paper, we use the combination of one two-qubit entangled state and one three-qubit entangled state as quantum channel for achieving the transmission of unknown quantum states. We present the concrete implementation processes of this scheme. Furthermore, we calculate the successful probability and the amount of classical information of our protocol.

Probabilistic controlled remote state preparation of an arbitrary two-qubit state via partially entangled states with multi parties

We propose a novel and efficient scheme for probabilistic controlled remote state preparation of an arbitrary two-qubit quantum state with the aid of the introduction of auxiliary particles and some appropriate local unitary operations. In this scheme, two partially three-qubit entangled states are used as quantum channel. The controlled preparation with one sender, two receivers and one controller can be realized when the information of nonmaximally entangled states are only available for the sender. Furthermore, the concrete implementation processes of this proposal are presented, and the successful probability of our scheme are calculated in the general case and special case, respectively.

Efficient scheme for remote preparation of an arbitrary tripartite four-particle entangled state

We propose a novel scheme to realize remote preparation of an arbitrary tripartite four-particle entangled state via two three-particle GHZ states as the quantum channel. In this scheme, the sender should employ several novel two-particle projective measurements on her particles. According to the sender’s measurement outcome, the receiver will carry out local unitary operations and suitable C-NOT gates on his particles to recover the desired state. It is shown that, in our scheme, the total successful probability of the RSP can reach 1.

KARAKTERISASI FENOTIPE DAN GENOTIPE TIGA POPULASI IKAN TENGADAK (Barbonymus schwanenfeldii)

Ikan tengadak, Barbonymus schwanenfeldii merupakan salah satu jenis ikan lokal yang potensial untuk dikembangkan. Kemungkinan keberhasilan pengembangan ikan ini sangat tinggi karena ikan tengadak sekerabat dengan ikan tawes. Studi keragaman genetik dilakukan dalam upaya pemanfaatan sumber daya genetik untuk kegiatan budidaya secara berkelanjutan. Tujuan penelitian ini adalah untuk menganalisis keragaman dan kekerabatan antara populasi ikan tengadak asal Jawa, Sumatera, dan Kalimantan. Analisis fenotipe dilakukan berdasarkan pengukuran truss-morfometrik, sedangkan analisis genotipe dilakukan secara molekuler menggunakan metode PCR-RAPD dengan primer OPA-08, OPA-09, dan OPC-02. Hasil analisis fungsi kanonikal truss-morfometrik menunjukkan sebaran pengukuran ketiga populasi berada pada kuadran yang berbeda dengan persentase indeks keseragaman tertinggi pada populasi Sumatera dan Jawa (100%). Analisis genotipe menunjukkan ikan tengadak populasi Kalimantan memiliki nilai polimorfisme (50,00) dan heterozigositas tertinggi (0,206); secara kekerabatan ikan tengadak Kalimantan memiliki jarak yang jauh dengan ikan tengadak Jawa dan Sumatera.Tinfoil barb Barbonymus schwanenfeldii is one of potential local fish species for aquaculture development. The successful probability of aquaculture development of tinfoil barb is very high due to close genetic relationship with silver barb. Study related to genetic diversity was conducted in order to explore genetic resources for sustainable aquaculture. The aim of this study was to analyze the genetic diversity and relationship between tinfoil barb populations from Java, Sumatra, and Kalimantan. Phenotype analysis was conducted by truss morphometric, whereas genotype analysis conducted by PCR-RAPD using OPA-08, OPA-09, and OPC-02 primers. The results of canonical correlation analysis from truss-morphometric measurements showed that the distribution of three populations were located in different quadrants with the highest similarity index percentage on Sumatra and Java population (100%). Genotypic analysis showed that tinfoil barb population from Kalimantan revealed the highest value of polymorphism (50.00) and heterozygosity (0.206), Kalimantan population have distantly genetic relationship to tinfoil barb from Java and Sumatra.